#optocoupler driver circuit
Explore tagged Tumblr posts
Text

Kind Regards
Can A Light Beam Its Speed 1.16 million km per second Be Found? (Revised)
or
or
or
Abstract
The paper provides 4 hypotheses with their explanations and proves – let's provide them in following
Paper hypotheses
Hypothesis No. (1)
The space is created from one energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space proves the speed is a fact.
Hypothesis No. (2)
The Gravitational Waves Are Produced By The Planets Motions Energies And Not By The Sun Gravitational Field– Moreover- The Sun Does NOT Produce A Gravitational Field And It Has No Massive Gravity-
Hypothesis No. (3)
Mars original orbit was between Mercury and Venus and Pluto was The Mercury Moon (Pluto size was equal Mercury size) But these two planets had migrated from their original orbits as a result for a collision- the planets migration caused a risk for the solar system geometrical design- Uranus and Jupiter the Two planets worked to repair the solar system design– that caused Jupiter orbit to be the main orbit in the solar system design- Jupiter orbit proves the speed 1.16 million km per second is a fact.
Hypothesis No. (4)
The Sun Is a phenomenon created by the planets motions
The sun rays is created from the gravitational waves motions energies and the gravitational waves are produced by the planets motions energies-
Based on that
The Sun Is A Phenomenon Created By The Planets Motions
And
The Sun Is NOT Doing Nuclear Fusion To Produce Its Rays- instead- The Planets Motions Energies Total Is Used To Produce The Sun Rays
The Sun Is Created After All Planets Creation And Motion – means
The Planets Are Created And Moving In Their Orbits Around A Point Of Space Before The Sun Creation- And The Sun Is Created On This Point Of Space around which the planets revolve - And
No Planet moves by The Sun Gravity (Newton is Wrong) - And
The Sun Doesn't Produce A Gravitational Field (Einstein Is Wrong)
And
The Sun Is A Phenomenon Created By The Planets Motions– means-The Sun creation and death depends on a cycle – means – after this current sun death another sun will be created for the solar system.
The Hypotheses Explanation
The abstract provides the hypotheses explanation and the paper provides their proves and discussions- In following the hypotheses will be explained in details
NOTICE - The creatures and all matters on the Earth are created from the sun light energy and the sun light speed is 300000 km/s, because of that, the creature realization is limited to the speed 300000 km/s and can't realize the original speed (1.16 million km per second) that means the speed 300000 km/s is a limit for the creatures realization and not for the universe design.
Notice- this revised version adds only more proves for the paper first hypothesis-
Hypothesis No. (1)
The space is created from an energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space which proves the speed is a fact
The Hypothesis Explanation
I- The Space Is Created By One Light Beam Energy- And This Light Beam Speed Is 1.16 million km per second
I-1 Preface (the main idea)
I-2 The Space Creation Method (the distances are one network)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
I-4 The Matter definition (based on my planet diameter equation)
I-5 The Planets Creation
I-6 Can The Time Machine Be A Fact?
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time
I-16 Mercury Orbit Analysis
I-1 Preface (The Main Idea)
The solar system (planets and distances) is created from one energy and this energy is provided by one light beam and this light beam moves by speed (1.16 million km/s)
The space is created before the planets creation-
Let's write the whole story in following
The light beam (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto orbit– by that– we consider Mercury orbit is the origin point-
Now- we should notice- No planet is created yet- the motion from Mercury orbit to Pluto orbit defines the motion direction- and No planet is created before this motion end nor during this motion- the planets will be created after this motion is finished means when the light 1.16 million km per second reaches to Pluto (orbit)- after this event – the planets will be created –as I will explain later
Notice
The light (1.16 million km per second) creates the distances by its motion- means- the light moves from Mercury point to Venus point– the distance from Mercury to Venus was not found and is created only by the light motion through it for first time- means – before the light motion this distance was NOT found- It's found after the light moves through this distance for first time-
This is similar to the blood motion through the arteries, the blood creates these arteries and the blood moves through these arteries, but the blood created these arteries with its first motion and that needed energy- but – after the arteries creation the blood move through them without any energy is required- means- the first motion is the most important one because by it the arteries are created
Shortly- The space is created from the energy of this light beam its speed 1.16 million km per second – NOW- after the Space creation- the light beam energy is decreased because of the energy consumption in the space creation process- and the rest energy is one light beam its speed is (C=300000 km/s =the light known speed) – But - We understand that- it's the same one light beam- its speed was 1.16 million km /s before the space creation- and the light created the space and that caused to consume the light energy and that caused to decrease the light speed to be 300000 km/s
Shortly- the light beam started its motion from Mercury (orbit) with speed 1.16 million km /s and reaches to Pluto (orbit) with a speed 300000 km/s because of the energy consumption in the space creation process
Let's give example to explain this idea
Imagine we create A Sea Of Water- we use energy to create this sea of water- now we have some energy and we use this energy to create this sea of water- BUT- our energy is NOT spent completely But there's a small part still rest with us – this small part of energy is used to create one wave moves through this sea and this wave speed is 300000 km/s (I suppose the space is similar to the sea of water)
Now – the rest energy is found in one light beam its speed 300000 km/s and this light beam is found NOW in Pluto Orbit – and this light beam will be reflected from Pluto orbit toward the inner planets– means- the rest energy will move in the reflected direction to the original light motion direction.
This idea will be explained in details in the next point- shortly
The light beam (300000 km/s) will be reflected from Pluto toward the inner planets
AND the light 300000 km/s will meet the original light beam (1.16 million km per second) in the origin point (in fact – beside the origin point) and there's a coherence of light is done between the light beam (300000 km/s) and the light beam (1.16 million km per second) – this coherence of light is proved strongly- we have to ask (how can that be possible while the light beam 1.16 million km /s is consumed and the new light beam 300000 km/s is the rest energy? how this light beam (300000 km/s) can meet the original one (1.16 million km per second)? in points no. (I-3) and no.(I-6) I answer this question.
Notice (1) I suppose the rest energy is a light beam its speed is (C=300000 km/s) but this idea is for simplicity- the rest energy can be in any wave form its speed (C=300000 km/s) – no necessity to be in visible light beam form
It's simply energy moves by the known speed of light (C=300000 km/s)
Notice (2)
All Planets Orbits Are Defined Before Any Planet Creation-
The light used the distance from the sun to Pluto as one area and create one geometrical design for this area before any planet creation
Notice (3)
The planets are created from the rest energy its speed (300000 km/s) – means- the space is created by the light 1.16 million km per second and the energy is consumed in the space creation and the rest energy is one light beam its speed 300000 km/s (or one wave moves by the known speed of light C=300000 km/s) – the solar planets are created from this one wave its speed 300000 km/s and that means all planets orbit are created and defined before any planet creation
Notice (4)
The Sun Is Created After All Planets Creations And Motions
The sun is a phenomenon created by the planets motions energies total
The sun doesn't produce a gravitational field and doesn't have massive gravity
Logically – No planet moves by the sun gravity
(The Planet Moves With The Energy From Which The Planet Is Created – Newton is wrong- later we discuss the proves)
Notice (5)
The child (fetus) inside his mother is created by the blood motion- the blood motion creates arteries for this child and through these arteries the blood moves also but the arteries themselves are created by this same blood motion- Similar to that- the distances are created by the light motion energy and the light moves through these distances also but originally these distances themselves are created by the light motion energy- means the distances creation is done with the first time of the light motion through them - that required energy- but after the distances are created no more energy is required- the light (or planet) can pass simply through these distances
I-2 The Space Creation Method (the distances are one network)
Data
778.6 = 1.16 x 671
721 = 1.16 x 621
629 = 1.16 x 543
543 = 1.16 x 468
5906 = 1.16 x 5127
These numbers are distances in (million km)
778.6, 721, 671, 629, 551 are Jupiter distances to the sun, Mercury, Venus, Earth and Mars respectively- 5906 and 5127 Pluto distances to the sun and Jupiter respectively
468 = 936 /2 where (940 million km = the Earth orbital circumference)
Discussion
(1)
The previous data tells us how the light beam motion creates the distances-
Simply the light uses a distance as (a period of time) and travels through this period another distance- that can be understood clearly from Jupiter distances- let's look deeply as possible
The light beam (1.16 million km per second) uses the period 629 seconds to pass a new distance = 729 million km (Mercury Jupiter distance is 721 million km error 1%) – where 629 million km = Jupiter Earth distance
Also
The light beam (1.16 million km per second) uses the period 671 seconds to pas a new distance =778.6 million km (Jupiter orbital distance)
where 671 million km = Jupiter Venus distance
by this method the light creates the distances based on each other- and that makes all distances to be created depends on one another and that makes all distances in the solar system to be One Network where all distances are created based on the same One Geometrical Design
(2)
The data shows the creation method- and we understand that- the distance 551 million km (Jupiter Mars Distance) is created firstly and the light (1.16 mkm/s) used this distance as a period of time (551 sec) and the light travels during this period a distance =(639 million km where 629 million km is Jupiter Earth distance error 1.5%) and then the light uses the new distance (629 mkm) as a period of time (629 sec) and the light travels during this period a distance = (729 million km – where 721 million km = Mercury Jupiter distance – error 1%)
The data shows the method clearly and we understand the light original motion started from Mercury orbit to Pluto orbit because the distances are created based on one another in that direction of motion as explained clearly
(3)
New data NO. (1)
2723 sec x 2 x 300000 km/s = 1622 million km – where
2723 million km = Uranus Earth Distance
1622 million km = Uranus Neptune Distance
The data shows- the light beam its speed (C=300000 km/s) is in proportionality also with the created distances but this proportionally is found in Reflected Direction
Logically, The light can NOT move from Uranus to Neptune and after that the light returns to move from Uranus to the Earth- it's simply reflected direction
The distances are NOT created by the motion of this light beam (300000 km/s) – but the distances are created by the motion of the original light beam (1.16 million km per second) but the proportionality between the distances with the light (300000 km/s) is found because there's a proportionality between the original one (1.16 million km per second) and this light beam (300000 km/s) – AND
Because the light (300000 km/s) moves in the reflected direction of the original light beam (1.16 million km per second) that causes the proportionality between the distances and the light (300000 km/s) be in a reflected form
New data NO. (2)
2094 sec x 300000 km/s = 629 million km
2094 million km = Uranus Jupiter distance
629 million km = Earth Jupiter distance
The light (300000 km/s) moves in reflected direction- for that- the distance 2094 million km is used as a period of time to pass a new distance (629 mkm)
The data proves the idea clearly
Notice (1)
The proportionality between the light (1.16 million km/s) and the light (300000km/s) will be discussed in point no. (I-3)
Notice (2)
In Point (**) I prove the gravitational waves are produced by the planets motions energies- and I prove that – the planets motions energies move toward Pluto and this energy is reflected from Pluto toward Venus- this fact is proved by powerful data and proves- for that – I don't explain in details the light motion trajectory from Pluto toward the inner planets because this motion trajectory is studied in details in the hypothesis No. (2) of this discussion- understandable that- the planets motions energy trajectory is the same trajectory the light moves through it – means this trajectory is studied in details and powerful proves in point no. (**)
Notice (3)
Jupiter Distances Analysis shows that Jupiter orbit is the central orbit for the light (1.16 million km per second) based on which all planets orbits are defined.
But – this is not the first creation case –
The light (1.16 million km per second) created the planets orbits based on each other starting from Mercury orbit moves toward Pluto orbit – this is the fist creation case – and this fact is proved strongly in point no. (I-9*)
BUT
Mars had migrated from its original orbit (Mars original orbit was between Mercury and Venus) and Pluto had migrated also (Pluto Was The Mercury Moon revolves around Mercury and Pluto size was equal Mercury size)
The planets migration caused a serious risk for the solar system geometrical design- Uranus was the first planet tried to repair the solar system geometrical design and to save it- by that
Uranus created a vertical effect on Jupiter orbit to fix Jupiter in its orbit and prevent it to migrate with the migrant planets- and based on Jupiter orbit the other planets orbits are modified – that supported the solar system original design and saved it which causes to protect the geometrical design from the destruction.
As a result
That causes Jupiter orbit to be the most important orbit in the solar system- the paper third hypothesis explains the planets migration and Jupiter orbit analysis is done with the solar system design analysis (I-11*)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
(1)
The Coherence Of Light
The previous explanation told us that we have 2 light beams-
The original light beam its speed (1.16 million km per second) and it started its motion from Mercury orbit to Pluto orbit (where Mercury orbit is the light motion origin point) – and this light beam created all distances in the solar system and lost its energy in the space creation process and the rest energy is one light beam its speed is (C=300000 km/s)
The other light beam is the rest energy- its speed is (C=300000 km/s) and it moves in a reflected direction from Pluto toward Venus and Mercury-
Now – we have a coherence of light between these two light beams- the coherence is proved by powerful proves BUT firstly we have to ask (how can this coherence be occurred)? Because the original light (1.16 million km/s) is consumed and its energy is used already and the rest energy is this light its speed is (300000 km/s) - HOW can the light (1.16 million km/s) meet the light (300000 km/s)??
Imagine we have (116 dollars) and we spent all money except (30 dollars)- how can this (30 dollars) meet the original money (116 dollars)??
Let's write the answer
Suppose the light beam (300000 km/s) moves in the reflected direction (in the space) and also (in the time) – that can enable the light (300000 km/s) to meet the original one (1.16 million km/s) in the past and the coherence will be done there in the past- and we see the coherence results and effects on the solar system -
Means – the light (300000 km/s) moves into the past and found the original light (1.16 million km/s) in the past
Notice No. (1)
The original light beam (1.16 million km/s) can NOT move toward the future to meet the light (300000 km/s) because in the future the original light beam (1.16 million km/s) is NOT found –by that – the coherence can't be occurred in the future - But – the light (300000 km/s) can move into the past because this light beam (300000 km/s) was found in the past because it's a part of the original light beam (1.16 million km/s)
Notice no. (2)
I prove the coherence is done by powerful proves- that tells- this idea is a fact–means- there's a strong proof tells (in fact the light beam 300000 km/s moved into the past) and if we can use this feature practically we can get photos from the past events and by that we can have photos from the catastrophe which killed the dinosaurs and know much better about what had happened really in that time - This can be a real machine of time – the light motion into the past is a strong method to perform this invention.
Notice no. (3)
Why Can NOT We Move Into The Past As We Move Into The Future?
This question is answered in point no. (**)
(2)
The Light Coherence Proves
First Proof
The planets order is typical to the interference of Young –
In the double slits experiment, Young Interference is consisted of bright fringes and dark fringes - If we consider planet diameter is equivalent to bright fringe – we will see that- the planets order is typically to Young interference because
Jupiter (the greatest fringe) is in the middle and the fringes width is decreased gradually on both sides – typically to the planets order
Notice / I have proved that (Mars original orbit was between Mercury and Venus) if we restore Mars to its original orbit the order will be typical to the Young Interference
(I prove this fact in point no. **)
Second Proof
The planets velocities are defined based on the speed (1.16 million km per second) and the planets velocities analysis shows the speed (300000 km/s) is the planets motions limit- means- the planets velocities are defined based on both velocities (1.16 million km per second) and (300000 km/s) I prove this fact in point No. (**)
Third Proof
The light coherence defines the solar day period (24 hours) which is the solar system design cornerstone
(1.16 /0.3) x 2π = 24.3
By this equation the space and time are created- the equation tells–the space is created in curves (2π) and the time is created in units each unit is (24 hours)
Please note – the solar system geometrical design depends on the light motion in a solar day (24 hours = 86400 seconds)
The light (1.16 million km per second) moves in a solar day (86400 seconds) a distance = 100733 million km (= the planets orbital circumferences total)
Fourth Proof
The planets data prove there's a speed (1.16 million km per second) found in the solar system but the sun light beam moves by speed (300000 km/s) that tells the two speeds are facts and found in the solar system and the coherence between them is a logical result
The hypothesis proves discuss many powerful proves for this fact-
Notice- the coherence of light is a very important fact because it tells the light (300000 km/s) moved into the past and by that gives us a proof for the motion on the time axis- for that – many powerful proves support this fact.
I-4 The Matter definition (Based On My Planet Diameter Equation)
(1)
Let's remember my planet diameter equation
Planet Diameter Equation (v1/v2)= (s/r)= I
v = Planet Velocity
r = Planet Diameter
s= Planet Rotation Periods Number In Its Orbital Period
I= Planet Orbital Inclination (example, 1.8 degrees be produced as a rate 1.8)
v2, s, r and I are belonged to one planet and v1 is belonged to another planet
The planet (v1) is defined by test the minimum error
Earth Equation uses Neptune velocity
Mars Equation uses Pluto velocity
Jupiter Equation uses the Earth moon velocity
Saturn Equation uses Mars velocity
Uranus Equation uses Neptune velocity (As Earth)
Neptune Equation uses Saturn velocity
Pluto Equation uses the Earth moon velocity (As Jupiter)
(The Equation works from The Earth To Pluto) (the discussion explains the reason)
Example
Neptune Equation (89143 /49528) = 9.7/ 5.4 =1.8
89143 = Neptune rotation periods number in Neptune orbital period
49528 km = Neptune diameter
9.7 km/s = Saturn velocity
5.4 km/s = Neptune velocity
59800 days = Neptune orbital period (and Neptune rotation period =16.1 hours)
1.8 degrees = Neptune Orbital Inclination
(the equation is proved and discussed in details in point no. **)
(2)
Can We Define The Matter Nature Based On My Planet Diameter Equation?
The equation tells, the matter is created based on its motion! means Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s!!
That tells the motion with velocity 5.4 km/s is defined before Neptune diameter is created! Can we understand such definition for the matter nature? let's try
(A)
The Matter Nature
The space and matter are created from the same original energy and they move with this original energy motion- BUT the matter has a distinguish picture and different velocity from the space picture and velocity (notice- The Gravitational Waves Prove That The Space Has A Motion)
If we suppose the space is similar to the sea of water, the matter be similar to a whirlpool or a vortex found on the sea page- means- the matter is a geometrical design has a distinguish picture from the space- as the whirlpool, it's created from the sea water but it has a distinguish picture from the sea waves picture
Means
The whirlpool is carried by the waves motion- and- the matter is carried by its original energy and moves with it- No Mass gravity is required for the matter motion- means- the matter is MOVABLE by nature.
Also
The whirlpool dimensions are defined by the water motion - for example- we have a whirlpool its diameter is (2 meters)- this diameter is defined by the sea water motion features (velocity, pressure and other motion features) by that- the water motion analysis explains how the whirlpool dimensions are created
Also- the whirlpool is created but the creation requirements are needed every day- means- even if this whirlpool is found since years it can be changed immediately if the water motion features are changed- means- the whirlpool creation process is NOT a historical one.
Also- the matter is similar to a creature muscle, the muscle is found based on the blood motion and without this motion the muscle can be changed or removed.
Shortly
The Original Energy Was Found In Motion By Itself (As Moving Light Beam)
From This Moving Energy The Planet Matter Is Created
The Created matter dimensions are defined by the features of this original energy motion (means the planet creation data is defined by the energy motion features)
After the planet creation- The Planet Moves With This Original Energy – means- the created planet moves a motion depending on the motion of this original energy because the planet moves with this original energy motion- and – the planet moves by this original energy motion (No mass gravity is required to cause the matter motion)
The planet creation data is in full harmony with its motion features- this fact is produced logically because the planet data is defined by the original energy motion features.
This explanation tells (Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s)
Example For Explanation
We agreed that the space is similar to the sea of water and the planet (matter) is similar to a whirlpool found on the sea page- this picture explains the idea clearly- because
We see the whirlpool doesn't move by the sea water waves velocity but by another velocity and that shows a distinguish in form and motion between the whirlpool (the planet) and the sea waves (the space)- BUT- the whirlpool dimensions are defined based on the sea water motion features- and if the motion features are changed the whirlpool dimensions will be changed also- also the whirlpool moves by the sea water motion even with a different velocity relative to the sea waves velocity but the whirlpool motion still is caused by the sea water motion- based on this picture we can say (because the water motion velocity is 80 km/h that causes this whirlpool diameter to be 2 meters "for example') – this is perfectly our sentence – let's remember it
(because Neptune velocity is 5.4 km/s that causes Neptune diameter to be 49528 km)
This idea is proved by my planet diameter equation (my fourth equation) (point No.**)
(B)
Now The velocity is a motion in (A Defined Direction)
Means– the matter is created because it depends on a motion in a defined direction- as we have seen- Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s but this velocity is a motion in defined direction- and that tells Neptune creation depends on a motion in the direction of the (x axis positive "+x ") (for example)
That tells, if this motion moves in (x axis negative "-x ") that will cause Neptune diameter to be changed or perished
Means- the matter creation needs a motion in A Defined Direction
Now let's ask our question
Why Can't The matter (creature) Moves Toward Its Past?
Because the matter depends on a motion in one defined direction- that causes the matter moves into (the future) always and can't move into (the past) let's discuss this question more deeply in point no (I-6)
Notice
No Planet Moves By The Sun Gravity (Newton is wrong) – logically because- the planet moves by its creation force- means- the planet creation and motion should be done by one force only (one energy only) because if two forces have effects on the same one planet- this planet will be broken- this fact is proved strongly with the gravitational waves source discussion (Point no.**)
I-5 The Planets Creation
I summarize the main idea in following and the idea proves and discussions are found in point no. (**)
(i)
We know, the solar system is created from energy of one light beam its speed is 1.16 million km per second- and – the light created the space (the planets orbits) firstly and the energy is consumed in the space creation- and for that- the rest energy is found in one light beam its speed is 300000 km/s - And
From this light beam 300000 km/s the solar planets are created
Shortly
before the solar planets creation
The solar system was one light beam (or one wave moves by speed of light (300000 km/s)- by that – the solar system is One Wave moves by speed of light (300000 km/s)
Now
The Solar System needs To Create A Stationary Point Its velocity Zero relative to the moving one wave (300000 km/s)
This is the basic information in the solar system design-
The solar system needs to create a stationary point relative to the wave motion- by that – two velocities will be found which are (v1= the wave its speed 300000 km/s) and (v2= Zero= the stationary point velocity relative to the wave motion)–these two velocities produce a relative motion with different velocity 300000 km/s– this relative motion is the solar system design cornerstone.
Shortly – the solar system needs to create A Stationary Point
Notice– The solar system is carried by the light beam motion, NO stationary point can be found here – it's similar to a ship on the sea water- Nothing can stop- because the motion is done forcedly by the sea water –
The stationary point will be similar to the whirlpool (vortex) on the sea page- BUT
The solar system needs to create this stationary point - Now – let's try to create this stationary point in following - The solar system uses two procedures to do that,
(ii)
The first procedure
The wave its velocity 300000 km/s revolves around a point in space (any point in space), the revolution motion creates 2 equal velocities on both sides of the revolution- the two velocities are equal in value and opposite in direction- their total be equal Zero-means- the revolution motion creates A Stationary Point in the center of the revolution.
The second procedure
The previous idea is correct- but –the velocity 300000 km/s is a huge one and to decrease it to Zero velocity this is a complex process– for that- the wave (300000 km/s) created small waves with low velocities to use them as steps to decrease the velocity to Zero- the small waves are The Planets- (The planet is a small wave moves by low velocity relative to the original wave its velocity 300000 km/s)
Why Are These Small Waves Required?
Because the velocity 300000 km/s is decreased to Zero by using these small waves and their low velocities- the low velocities are used as steps to decrease the unified wave velocity (300000 km/s) to be (Zero)- this process decreases the velocity gradually from 300000 km/s to Zero depending on these small waves velocities (the planets velocities)
Means- the planets are created for this process to decrease the wave velocity from 300000 km/s to Zero- and The Planet Is A Small Wave Moves By Low Velocity
Shortly – the solar system has one complete system of velocities, Starting from Zero to 300000 km/s where the planets velocities are the steps between the two velocities – let's prove that here
(iii)
300000 km = 7.1 x (205.8)^2 where
7.1 is Lorentz length contraction effect for speed 297000 km/s (99% of speed of light)
205.8 km/s = the 9 planets velocities total (176 km/s) + the Earth moon velocity
(The moon velocity =29.8 km/s = the Earth velocity because they revolve together)
Why does the data use the squared value (205.8)^2?
We know the answer- but - Let's remember it
The planets are geometrical points on the same light beam and move with its motion- for that- the planets velocities rates creates rates of time– for example- Mercury velocity = 1.6 the Earth velocity- that means – one hour of Mercury clock = 1.6 hours of the Earth clock- Why??
Because Mercury and the Earth are carried by the same one light beam- the light moves one motion and passes one distance in one period of time- by that Mercury and the Earth have to move this same motion and to pass this same distance in this same period of time- but the two planets velocities are different- for that- the planets use different rates of time based on their velocities rates and by that the planets move equal distances in the same period of time –
Now- the velocity (205.8 km/s) moves relative to the stationary point (Zero) and creates a rate of time (1 second = 205.8 seconds) –
(one second of the unified wave clock = 205.8 seconds of the stationary point clock)
But – the energy is reflected in the solar system (I prove that in point no.**),
The energy reflection reflects the players – means
(one second of the stationary point clock = 205.8 seconds of the unified wave clock)
The stationary point will be THE SUN – by that
(one second of the sun clock = 205.8 seconds of the unified wave clock) – means
(one second of the sun clock = 205.8 seconds of any planet clock) –
Now during one second of the sun clock, the wave clock needs 205.8 seconds while the wave moves by a velocity 205.8 km/s- means –
During one second of the sun clock, the wave moves 42253 km = 300000 km /7.1
That creates the different velocity 300000 km/s between the sun motion and the wave motion-
Notice 1
The wave (205.8 km/s) moves during 1461 seconds a distance = 300000 km, and we know the Earth cycle (1461 days = 365 +365 +365 +366)
That tells, the speed of light (300000 km/s) is performed by the rate of time and that causes to create the Earth cycle-
Notice 2
Planet velocity is created by the rate of time- means- if no rate of time can be used – No planet velocity can be created – instead- all motions will be only by speed of light (300000 km/s)- the planet can create a small velocity because it can use rate of time
We realize that clearly because
The planets motions depend on the light motion- by that – the motion is done by One Motor only which moves by speed of light (300000 km/s), the planets can only move by speed of light or create a rate of time for their smaller velocities - No more options are provided.
Notice 3
We understand that, the planets are geometrical points on the same light beam, means
The planets are similar to carriages in one train and the light motion is the train engine means the planets are carried on the light beam and move with this light motion
I-6 Can The Time Machine Be A Fact?
To answer this question we need to review basics facts we have studied – let's do that in following
(1)
The solar system is created from one energy and this energy is provided by one light beam
(2)
The light moves simply and freely in any direction (for space) and (for time)- means- the light can move into the future (as matter does) or into the past (which the matter can Not do)
(3)
We know, the solar system is created from one light beam, and this light moves by a speed (1.16 million km per second) - And
We know, the light (1.16 million km per second) created the planets orbits firstly before any planet creation and the energy is consumed in the space creation and because of the energy consumption the light speed is decreased from (1.16 million km per second) to the known speed of light 300000 km/s – also
We know, the light (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto- that means- the light (1.16 million km per second) started from Mercury orbit with speed (1.16 million km per second) and the light created all planets orbits till Pluto orbit- before any planet creation- and by that- the light lost its energy and the light beam in Pluto orbit reduced its speed to be 300000 km/s as a result for the energy consumption in the space creation process
(4)
Also we know the energy is reflected from Pluto toward Venus (the inner planets)
By that the light beam (300000 km/s) moves in the reflected direction to the original light beam (its speed 1.16 million km per second)
And – we know-
The light beam (300000 km/s) reaches to the original point (Mercury Orbit) from which the light (1.16 million km per second) started its motion
And we know that
A coherence of light is done between the original light beam (1.16 million km per second) and the light beam (300000 km/s)
BUT we don't know how such coherence can be occurred? Let's analyze that deeply in following
(5)
The produced light beam (300000 km/s) moves in (the reflected direction) to the direction of the original light beam (1.16 million km per second) (In Space) and reaches to Mercury orbit (the origin point)
But– logically – the produced light beam (300000 km/s) can NOT find the original light beam (1.16 million km per second) there because the original light beam is consumed already in the space creation process and the rest energy is this produced light beam (300000 km/s) – based on that –
How Can This Coherence Be Occurred? Means-
How can the produced light beam (300000 km/s) meet the original light beam (1.16 million km per second)? The answer is
The produced light beam (300000 km/s) moves (in the reflected direction) to the motion direction of the original light beam (1.16 million km per second) (In Space) and (In Time) Means- the produced light beam moves into (Its Own Past) and in the past this produced light beam (300000 km/s) was (A Part of the original light beam 1.16 million km per second) and because of that the produced light beam (300000 km/s) can meet the original light beam (1.16 million km per second),
And
The two light beams create a coherence (in the past) and we see the results of this coherence in our present time-
The idea is very important because – the coherence of the two light beams (1.16 mkm/s and 0.3 mkm/s) is proved strongly and with powerful proves and any explanation for this coherence will prove that the produced light beam (300000 km/s) must move Into The Past to enable this coherence occurrence- and that tells clearly- the travel through the time is possible and fact
BUT
Can the matter moves into its past as the light does? NO
Why?? Because
We know the light can move simply in any direction (+ x, + y, + z, + t) by that the light can move into the future and can move into the past BUT
The matter creation depends on A Motion In A Defined Direction-
let's remember this idea
Neptune diameter =49528 km because Neptune velocity is 5.4 km/s
(This Fact Is Proved By My Planet Diameter Equation)
Now, Neptune velocity is a motion in a defined direction
(for example a motion in +x direction)
The energy moves in this direction (+x direction) and because of this motion Neptune matter is created and Neptune diameter is defined- now if the energy moves in (opposite direction "–x direction") that will change Neptune diameter or cause to perish its matter at all
Means- as long as – Neptune is found- that means – the energy moves in one direction (and not two directions) – for that Neptune can move into the future but can NOT move into the past.
Notice
The matter can not move into the past but the light can do that-
Means- we have the time machine already- we need to know how to send the light into the past and by that we can have photos from the past events- and this will be The Time Machine
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time?
I-16 Mercury Orbit Analysis
I-7 The Proves Logic Analysis
Why can we prove that, a light beam its speed 1.16 million km per second is found in the solar system? also, the theory tells this light beam energy is consumed and the rest energy is found in one light beam its speed 300000 km/s (the known speed of light), if this light energy is consumed, how can we prove its existence?
There are two major reasons, which are
The Planets Orbits Are Created Before Any Planet Creation- And These Orbits Are Created Based On One Motion- And This One Motion Is Done By A Speed 1.16 Million Km Per Second.
The Planets Matters Are Created Based On Their Orbits – means- the planet is similar to a tree and the orbit is similar to a ground and the tree is planted in the ground-
NOTICE
after the planet creation, the planet can migrate from its original orbit to any other orbit - as Mars and Pluto did and that will not cause to destroy the planet.
Shortly-
the planet matter and data is created based on this planet orbit- the orbit is defined before any planet creation and based on the orbit the planet matter and data is created (we remember- the space is similar to the sea of water and the planet matter is similar to a whirlpool found on this sea page- that tells the whirlpool is created based on its place in the sea of water)
Shortly- The Planet Matter Is Created Depends On This Planet Orbit
The speed 1.16 million km per second is registered in the planets orbits because the orbits are created from the energy of the light beam (1.16 million km per second), and the planet matter is created from this planet orbit (energy)
Shortly
The light beam (1.16 million km per second) is the source of energy for (everything) in the solar system-
All orbits are defined by its energy, all matters are created by its energy, and all motions are done by its motion-
Can we prove this light beam is a fact? YES we can
The analysis for any data or any motion will discover this light beam because it's the source of energy for everything
Shortly
the light beam (1.16 million km per second) is The Source Energy of the solar system
The mother of all children can be discovered by analysis these children data
A QUESTION
Can the solar system design uses a rate 1.16 and I can't understand that but wrongly consider this rate (1.16) as a speed of light 1.16 million km per second?
NO- this can't be possible – Because
The light beam (1.16 million km per second) behaves typically to the known light beam (300000 km/s) – as we will see in the data discussion
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
DATA
My 5th equation (v1v2=322)- the planets velocities prove it–let's see that in following
322 = 47.4 km/s (Mercury velocities) x 6.8 km/s (Uranus velocities)
322 = 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2
322 = 29.8 km/s (the Earth velocity) x 5.4 km/s (Neptune velocities) x 2
322 = 24.1 km/s (Mars velocity) x 13.1 km/s (Jupiter velocity)
322 = (17.9 km/s)^2 (Ceres velocity) (Max error 2%)
DATA ANALYSIS
The previous data tells the planets velocities are defined by three features
(1st Feature)
The planets velocities are complementary one another –means - each planet velocity is complementary with another planet velocity– means– The planets velocities are defined in pairs and not in single planets.
(Notice, the inner planets orbital inclinations are defined by the rule (v1/v2), for example, Mercury orbital inclination 7 deg = Mercury velocity 47.4/ Uranus velocity 6.8 that proves the effect of the rule (v1v2=322) on the planet motion)
Ceres velocity tells the idea - Ceres is used as the main point - as a result the outer planets be complementary with the inner planets – for that the rule (v1v2=322) controls the planets velocities- that means- The planets velocities are created based on One Design- Ceres velocity is used as the main point for this design
(2nd Feature)
Why the constant is 322? because 1160000 seconds = 322 hours – means- there's speed of light = 1.16 million km /s - Shortly
Mercury (47.4 km/s) moves during 6.8 hours a distance = 1160000 km
Uranus (6.8 km/s) moves during 47.4 hours a distance = 1160000 km And
Venus (35 km/s) moves during 2 x 4.7 hours a distance = 1160000 km
Pluto (4.7 km/s) moves during 2 x 35 hours a distance = 1160000 km
Earth (29.8 km/s) moves during 2 x 5.4 hours a distance = 1160000 km
Neptune (5.4 km/s) moves during 2 x 29.8 hours a distance = 1160000 km And
Mars (24.1 km/s) moves during 13.1 hours a distance = 1160000 km
Jupiter (13.1 km/s) moves during 24.1 hours a distance = 1160000 km And
(Notice - Saturn (9.7 km/s) moves during 33.2 hours a distance = 1160000 km - (between 33.2 and Venus velocity 35 km/s the error 5%)) (Data Max error 2%)
The Data Proves, The Planets Velocities Are Functions In The Speed 1.16 Million Km Per Second. That proves the speed (1.16 million km per second) is A Fact
(notice the planets velocities are complementary one another also based on the known speed of light 300000 km/s, the paper provides this data)
(3rd Feature)
The planets velocities limit depend on the known speed of light 300000 km/s
Let's explain that in following
The 9 planets velocities total is 176 km/s (I add the Earth moon velocity 29.8 km/s)
The 10 planets velocities total is 205.8 km/s
300000 km = 7.1 x (205.8)^2
The speed 297000 km/s (99% speed of light) causes Lorentz length contraction effect with the rate 7.1
The velocity (205.8 km/s) moves during 205.8 seconds a distance 42253 km
Where 300000 = 7.1 x 42253 km BUT 42253 = (205.8)^2
The squared value (205.8)^2 is found because of the used rate of time
We have studied this equation in point (I-5**) -the data shows, the planets velocities are defined as parts of a complete system of velocities starts from (Zero = stationary point) and reaches to the speed of light 300000 km/s and between these two values the planets velocities are defined to support this same system- that tells- the planets velocities are defined with limit to the speed of light (300000 km/s) - The data proves the speed (1.16 million km per second) is a fact -and also the data proves the coherence is done between the light (1.16 million km per second) and the light (300000 km/s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
(1) Mercury Motion
During 310s light its speed (1.16 million km per second) travels 360 million km
During 310 s light known speed (300000 km/s) travels 93.1 million km
BUT
93.1 million km x 2π = 586 million (this value will be used by Venus as a period)
Where 360 million km = Mercury Orbital Circumference
(2) Venus Motion
During 586s light its speed (1.16 million km per second) travels 680 million km
During 586s light known speed (300000 km/s) travels 175.8 million km
BUT
175.8 million km x 2π = 1104 million (this value should be used by Earth as a period)
680 million km = Venus Orbital Circumference
(3) Earth Motion
During 810s light its speed (1.16 million km per second) travels 940 million km
During 810s light known speed (300000 km/s) travels 243 million km
243 million km x 2π = 1526 million (this value should be used by Jupiter as a period)
Where 940 million km = Earth Orbital Circumference
BUT
During 940s light its (1.16 million km per second) travels 1104 million km (error 1%)
That shows the direction reflection between the Earth and Venus because of the reflection of energy- I proved that in point no. (**)
Notice –
Jupiter is the next planet after the Earth based on the light motion design for that the Earth value (1526 million km) should be used by Jupiter because Mars is a migrant planet and Mars original orbit was between Mercury and Venus and the next planet for the Earth was Jupiter- the confusion in data is made by Mars migration effect
(More explanation is provided in the comment on the data)
(4) Mars Motion
(Mars Is Exceptional)
During 1235s light its speed (1.16 million km per second) travels 1433 million km
During 1235s light known speed (300000 km/s) travels 371 million km = 2π x 59 mkm Where 1433 mkm = Mars Orbital Circumference
(5) Jupiter Motion
During 4224s light its speed (1.16 million km per second) travels 4900 million km
During 4224s light known speed (300000 km/s) travels 1267 million km –
4900 mkm =Jupiter Orbital Circumference
1267 million km x 2π = 7960 million km (this value be used by Saturn as a period)
Notice
Mars is a migrant planet for that – the Earth value isn't used for Mars orbit- but it's used for Jupiter orbit- and because of the reflection between Venus and the Earth- the Earth produces the value directly (1526 million km) without using the light speed (1.16 million km per second) where
1526 million km = Jupiter Orbital Distance 778.6 million km x 2 (error 2%)
Notice
During 4224s light its speed (1.16 million km per second) travels 4900 million km
4900 million km = Jupiter orbital circumference while 4222.6 hours = Mercury day period- if (one hour of Mercury = One second of light clock) that will connect Jupiter with Mercury strongly- this is a fact because- the solar system depends on Mercury clock in its motion and the planets orbits are defined based on Jupiter orbit after the planets migration- that makes Mercury and Jupiter the two heads of the solar system unified motion.
(6) Saturn Motion
During 7960s light its speed (1.16 million km per second) travels 9007 million km
During 7960s light known speed (300000 km/s) travels 2388 million km
9007 mkm = Saturn Orbital Circumference
2388 million km x 2π =15004 million km (this value be used by Uranus as a period)
(7) Uranus Motion
During 15559s light its speed (1.16 million km per second) travels 18048 million km
During 15559s light known speed (300000 km/s) travels 4668 million km
18048 mkm = Uranus Orbital Circumference
4664 million km x 2π =29305 million km (this value be used by Pluto as a period)
Notice
The transported value from Saturn is 15004 but the used value is 15559 (error 3.5%)
(8) Neptune Motion
(Neptune is exceptional)
During 24348s light its speed (1.16 million km per second) travels 28244 million km
During 24348s light known speed (300000 km/s) travels 7305 million km
28244 mkm = Neptune Orbital Circumference
(9) Pluto Motion
During 31983s light its speed (1.16 million km per second) travels 37100 million km
During 31983s light known speed (300000 km/s) travels 9595 million km
37100 mkm = Pluto Orbital Circumference
(10) The Earth Moon Motion
During 639s light its speed (1.16 million km per second) travels 724 million km
During 639s light known speed (300000 km/s) travels 191.6 million km = 2π x 30.5 mkm – BUT
30.5 mkm = 88000 km x 346.6 days
The moon displacements total during 346.6 (solar days) = 30.5 mkm
346.6 solar days= The nodal year and 88000 km = The moon displacement daily
742 mkm = The distance is passed by Uranus in 30589 hours - The data tells, the moon orbit regression be done by effect of Uranus motion.
THE COMMENTS ON DATA
(1)
We should note that, the data follows the rule perfectly- as we see in Mercury and Saturn data – the confusion in data is found by the planets migration – let's prove that
680 mkm (Venus Orbital Circumference) x (1.16 mkm/s) ^2 = 940 mkm
28244 mkm (Neptune Orbital Circumference) x (1.16 mkm/s) ^2 = 37100 mkm
(Max error 2.5 %)
940 mkm = Earth Orbital Circumference
37100 mkm = Pluto Orbital Circumference
Clearly the confusion of data is done for the Earth and Jupiter (Mars migration effect) and for Pluto and Neptune and Uranus (Pluto migration effect)
Shortly
The light (1.16 million km per second) created the solar system distances based on one another as the chess board distances- perfectly the light created the distances based on one geometrical design and as one network- But – The planets migration caused confusion for the data- by that the planets orbits data is confused and no longer be seen as designed by the light motion- specially because the solar system design repair needed to make Jupiter orbit as the central orbit based on which all planets orbits are modified- by that– the discovery for the light motion effect on the solar system distances creation needed deep analysis in data to remove the confusion.
Notice
The Earth data produced the value (1526 mkm) and this distance is used by Jupiter as a distance (1526 mkm = 2 x 778.6 mkm Jupiter Orbital Distance) (error 2%)
And
Uranus data produced the value (29305 mkm) and this distance is used by Neptune as a distance (29305 mkm= 28244 mkm= Neptune Orbital Circumference) (error 4%)
The behaviors are typical tell that by the same effect the modifications of both planets data are done-
Notice
680 sec x 1.16 million km /sec = 789 mkm (Jupiter orbital distance 778.6 mkm error 1.3%) – the data shows – Jupiter is the mentioned planet after the Earth because Mars original orbit was between Mercury and Venus by that the light motion moved from the Earth to Jupiter directly- Mars is not seen in this motion-
(2)
The inner planets distances ( 93.1, 175.8, 243, 370.6) can be used as cycles periods
175.8 solar days =Mercury day period
243 solar days = Venus rotation period
370.6 solar days are near to 365.25 days (error 1.5%),
(93.1 days x 2π= 584 days =the period of periodical meeting of Earth and Venus)
This equality depends on the rate 1mkm = 1 day
That tells each planet creates its PREVIOUS NEIGHBOR CYCLE PERIOD
And the outer planets distances in blue color (1267, 2330 , 4664, 7305, 9595)
2330 = 2 x 1165 = 2π x 371
4664 = 4 x 1165 = 4π x 371
7305 = 2π x 1165 =2π2 x 371
9595 = 8 x 1165 = 8 π x 371 (error 3%)
This data cornerstone is the number (371), (the Earth year 365.25 days)
The data refers to the Earth year because of the Earth effect on the sun creation
NOTICE
The data proves each planet orbit is defined based on its neighbor – my first equation (Planet orbital distance equation) proves this fact –
In following I put my planet orbital distance equation for revision
Planet Orbital Distance Equation
(My First Equation) (d)2 = 4 x d0 x (d- d0)
d = A Planet Orbital Distance
d0= Its Direct Previous Neighbor Planet Orbital Distance
The equation depends on the planets order, for that , just 2 neighbor planets can be used in this equation, means if (d is Venus distance, d0 be Mercury distance)
The equation exceptions are,
Earth depends on Mercury Not Venus – and Mars depends on Venus Not Earth And Pluto depends on Uranus Not Neptune
Note, we don't use the forma (d=2d0) instead we use the forma (d2 = 4d0 (d-d0)) because it uses the distance between the 2 planets and that decreases the errors
Let's test the equation
(1) Venus Motion
(108.2)2 = 4 x 57.9 x (50.3)
d= 108.2 million km = Venus Orbital Distance
d0= 57.9 million km = Mercury Orbital Distance
50.3 million km = The Distance Between Venus And Mercury
Venus Depends On Mercury
(2) Earth Motion
(149.6)2 = 4 x 57.9 x (149.6-57.9) (error 2.8%)
d= 149.6 million km = Earth Orbital Distance
d0= 57.9 million km = Mercury Orbital Distance
Earth depends on Mercury and doesn't on Venus
(3) Mars Motion
(227.9)2 = 4 x 108.2 x (227.9-108.2)
d= 227.9 million km = Mars Orbital Distance
d0= 108.2 million km = Venus Orbital Distance
Mars depends on Venus and doesn't on Earth
(4) Ceres Motion
(415)2 = 4 x 227.9 x (415-227.9)
d= 415 million km = Ceres Orbital Distance
d0= 227.9 million km = Mars Orbital Distance
Ceres depends on Mars
(5) Jupiter Motion
(778.6)2 = 4 x 415 x (778.6- 415)
d= 778.6 million km = Jupiter Orbital Distance
d0= 415 million km = Ceres Orbital Distance
Jupiter depends on Ceres
(6) Saturn Motion
(1433.5)2 = 4 x 778.6 x (1433.5- 778.6)
d = 1433.5 million km = Saturn Orbital Distance
d0 = 778.6 million km = Jupiter Orbital Distance
Saturn depends on Jupiter
(7) Uranus Motion
(2872.5)2 = 4 x 1433.5 x (2872.5- 1433.5)
d= 2872.5 million km = Uranus Orbital Distance
d0 = 1433.5 million km = Saturn Orbital Distance Uranus depends on Saturn
(8) Neptune Motion (error 4%)
(4495.1)2 = 4 x 2872.5 x (4495.1- 2872.5)
d= 4495.1 million km = Neptune Orbital Distance
d0 = 2872.5 million km = Uranus Orbital Distance Neptune depends on Uranus
(9) Pluto Motion
(5906)2 = 4 x 2872.5 x (5906- 2872.5)
d= 5906 mkm = Pluto Orbital Distance
d0 = 4495.1mkm = Neptune Orbital Distance Pluto depends on Uranus
Notice the error is less 1% for all planets except (Earth 2.8%) and Neptune (4%)
The Equation Discussion
(a)
The Equation tells each planet orbital distance depends on its previous neighbor planet orbital distance – but – there are 3 exceptions which are –
Earth depends on Mercury not Venus –
Mars depends on Venus not Earth–
Pluto depends on Uranus not Neptune–
(b)
The equation shows – the distance from the sun to Pluto be distributed based on one geometrical design – means – the distances be created together as one group in one a network form – the distances be similar to the chess board distances- they are distributed geometrically and in one network based on one design -
Shortly
No Single Distance be Created independently or individually – We deal with one network of distances -
Means
By Using Mercury Orbital Distance (57.9 million km) (one data) We Can Conclude All Planets Orbital Distances (9 Data) By Using Mathematical Calculations Only
(c)
Kepler stated (Planet orbit defines its velocity) – this concept is used in my third equation (d1/d2) = (v2/v1)2 where d= Planet Orbital Distance and v = Planet Velocity
The concept tells– If we know a planet orbital distance, we can conclude its velocity by mathematical calculations only
Shortly
By Using my 1st equation (d2 = 4d0 (d-d0)) and kepler law and the One Data (Mercury orbital distance = 57.9 million km) we can conclude by mathematical calculations only All Planets Orbital Distances, Velocities And Periods (27 Data)
That proves the concept (Planet data be created based on exact equations)
Planet Orbits Are Defined By Very Accurate System
Each planet orbit is defined based on an angle, these angles are reflected also – let's prove that (I suppose –There's a right triangle by the three points The Sun, Mercury and Venus) - Now
Venus angle is (61 degrees) because Venus orbital distance (108.2 mkm) x cos (61) = Venus Mercury distance (50.3 mkm) -
Here we can replace Venus with any other planet in the same triangle to define this planet angle based on similar calculation – as a result
Earth angle is (51 degrees) because Earth orbital distance (149.6 mkm) x cos (51) = Earth Mercury distance (91.7 mkm)
Mars angle is (41.7 degrees) because Mars orbital distance (227.9mkm) x cos (41.7)= Mars Mercury distance (170 mkm)
Jupiter angle is (22.2 degrees) because Jupiter orbital distance (778.6 mkm) x cos (22.2)= Jupiter Mercury distance (721 mkm)
Similar to that – Saturn angle is 16.5, Uranus angle is 11.6 deg, Neptune angle is 9.2 deg and Pluto angle is 8 deg- these angles follow the same system – for example
Pluto angle is (8 degrees) because Pluto orbital distance (5906 mkm) x cos (8)= Pluto Mercury distance (5848 mkm)
NOTICE No. (1) The right angle and its triangle is (a hypothesis) – we Can prove it because (v1/v2) = (θ1/ θ2)
means – these angles are rated with their planets velocities – for example
(Neptune velocity 5.4/ Pluto velocity 4.7) = (9.2 deg /8 deg)
Shortly -the angles which are defined based on the sun perpendicularity on Mercury orbit – all of them- are the correct angles by which the planets orbits are defined – that because the planets velocities are rated with these angles and Kepler stated (Planet orbit defines its velocity)- means- the planets orbits are defined based on these angles and that causes the angles rates to be equal with the velocities rates - Shortly -That tells indeed the sun position is perpendicular on the (inner planets orbits) – in fact – the sun is perpendicular on the Earth moon orbit- and this perpendicularity has effect on all inner planets because of the small distances among them.
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s) Data
(1)
(1.16 million km /s) x 300 sec = 348 mkm (300 mkm = Earth orbital distance x 2)
(1.16 million km /s) x 348 sec = 470 mkm (470 x2 = Earth Orbital Circumference)
(1.16 million km /s) x 470 sec = 551 mkm (Mars Jupiter Distance)
(1.16 million km /s) x 551 sec = 629 mkm (Earth Jupiter Distance)
(1.16 million km /s) x 629 sec = 721 mkm (Mercury Jupiter Distance)
(2)
(1.16 million km /s) x 108.2 sec x 4 = 500 mkm (108.2 = Venus orbital Distance)
(1.16 million km /s) x 500 sec = 580 mkm
(1.16 million km /s) x 580 sec = 671 mkm (Venus Jupiter Distance)
(1.16 million km /s) x 671 sec = 778.6 mkm (Jupiter Orbital Distance)
(1.16 million km /s) x 778.6 sec x 2 = 1806 mkm
(1.16 million km /s) x 1806 sec = 2094 mkm (Jupiter Uranus Distance)
(1.16 million km /s) x 2094 sec = 4900 mkm/2 (Jupiter Orb. Circumference)
(3)
(1.16 million km /s) x 5127 sec = 5906 mkm (Pluto orbital Distance)
(1.16 million km /s) x 4437 sec = 5127 mkm (Pluto Jupiter Distance)
(1.16 million km /s) x 3825 sec = 4437 mkm (Mercury Neptune Distance)
(1.16 million km /s) x 3244 sec = 3825 mkm (=π x 1205 mkm Mars Saturn Distance)
(1.16 million km /s) x2872sec=3244mkm (=2x1622 mkm Uranus Neptune Distance)
(1.16 million km /s) x4900sec=2 x 2872 mkm (Uranus Orbital Distance)
(4)
(1.16)2 x 170 sec = 227.9 mkm (Mars Orbital Distance)
Where 170 mkm = Mercury mars Distance
(5)
(1.16 million km /s) x 1980 sec = 2296.8 mkm
(1.16 million km /s) x 2296.8 sec = 2644.6 mkm (Mars Uranus Distance)
(1.16 million km /s) x 2644.5 sec = 3033.5 mkm (Uranus Pluto Distance)
1980 million km = the orbital circumferences total of (Mercury + Venus + Earth)
(6)
(1.16 million km /s) x 3717 sec = 4310 mkm (Earth Neptune Distance)
(1.16 million km /s) x 4346 sec = 5040 mkm (Jupiter Pluto Distance)
3717 mkm = Jupiter Neptune Distance –
(Earth Neptune Distance 4345mkm "error 1%" and Jupiter Pluto dis. 5127 mkm error 1.7%)
Discussion - the data tells the idea clearly, it tells
The distances in the solar system is created together based on one design and by one motion- this one motion is the light motion (1.16 million km per second) and the light creates the distance and after that the light uses the created distance as a period of time to create another distance, and by that, the light created all distances in one network together based on one geometrical design and this creation of the distances is done before any planet creation- the data clearly and strongly proves the hypothesis.
NOTICE - The total distances in the solar system (the orbital and inner distances) are 45 distances, the previous data used almost 50% of these distances (because many distances are equal in the solar group – for example – (Saturn orbital distance = Mars orbital circumference)- this distances equality makes the previous data behave in place of around 50% of all distances- and no logic to suppose these all distances are rated by the way with the rate (1.16)!!
The logical explanation is my theory I have explained- the light (1.16 million km per second) creates the distances based on one another by using the distances as periods of time - Also this behaviors is typical to the behavior of the known speed of light (300000 km/s)– as we have seen before - During 2094 seconds the light (300000 km/s) moves 629 million km (=Jupiter Earth distance) where 2094 million km (= Jupiter Uranus distance)- Simply it's typical behaviors tells the fact that the speed 1.16 million km per second is real fact and used in the solar system design)
I-11 The Solar System Geometrical Design Proves The Hypothesis
Data (1)
(A) (1.16/0.3) x 2π = 24.3
(B) 1.16 million km per second x 86400 seconds = 100733 million km
(100733 million km = The Planets Orbital Circumferences Total)
Data (2)
(a) 4224 x 1.16 =4900
(b) 100733 = π x 32200
(c) 1.1318/0.3 = 5906 / (778.6 /2)
Discussion
Data (1)
Data no. (A) - (1.16/0.3) x 2π = 24.3
By this equation the space and time are created- because it shows the coherence of light between the light (1.16 million km per second) and the light (300000 km/s)
The equation tells – the space is created in curves (2π) and the time is created in units each unit = (24 hours)
Shortly- the time essential units are 2 units (the second and 24 hours) because of the rate of time (one second of light clock = 24 hours of planet clock) by that the period of the (one second) (for light motion) is comparable with (24 hours) for planet motion that means- the period (24 hours) is one unit can't be divided and it's similar to the second period which is a unit can't be divided
Data no.(B) 1.16 million km per second x 86400 seconds = 100733 million km
The data tells the light (1.16 million km per second) moves in solar day (24 hours= 86400 seconds) a distance = 100733 million km = The Planets Orbital Circumferences Total - that proves the solar planets orbits creation is done by the motion of this light beam (1.16 million km per second) - the data proves the solar system design depends on this light motion.
Data (2)
Data no. (a) 4224 x 1.16 =4900
The data tells, the light (1.16 million km per second) moves in 4224 seconds a distance = 4900 million km = Jupiter Orbital Circumference
But – Mercury day period is 4222.6 hours (4224 hours approximately)
If (one second of light clock = one hour of Mercury clock), that will make the period (4224 s) as Mercury day period – and – we know that Mercury day period is the main period in the solar system because the sun rate of time is created based on it as I explain in the second and fourth hypotheses of this paper-
Shortly- while Mercury is the solar system head- Mercury day period is the main period in the solar system and this period is used for Jupiter orbital circumference because all planets orbits are defined based on Jupiter orbit after the planets migration- this fact is discussed in the third hypothesis is details – let's summarize it
Mars original orbit was between Mercury and Venus, and Pluto was the Mercury moon, and Pluto size was equal Mercury size- But- Mars and Pluto had migrated from their orbits- the planets migration caused serious risk for the solar system geometrical design- And Uranus provides a vertical effect on Jupiter to fix it in its orbit and prevent Jupiter to migrate with the migrant planets- after Jupiter be fixed in its orbit all other planets redefined their orbits according to Jupiter orbit – by that – Jupiter orbit be the most important distance in the solar system-
Notice- later Uranus caused to create Saturn to support Jupiter role- Saturn creation is done after the Earth moon creation because the energy reflection caused this delaying
The data shows how the solar system design depends on Jupiter orbit
Data no. (b) 100733 = π x 32200
32200 million km = the different distance between Pluto orbital circumference and Jupiter orbital circumference
100733 million km = The Planets Orbital Circumferences Total
The data supports the same idea- Jupiter and Pluto orbits create the general design of the solar system- because Jupiter is the main orbit in it and Pluto the last orbit.
Data no. (c) 1.1318/0.3 = 5906 / (778.6 x 2) where
5906 million km = Pluto orbital distance
778.6 million km = Jupiter orbital distance
1.1318 million km = Jupiter motion distance per solar day
0.3 million km = speed of light 300000 km/s
The data shows the distribution of Jupiter and Pluto orbits are in proportionality with speed of light (300000 km/s) and speed of (1.16 million km per second)
BUT the data shows Jupiter velocity daily (1.1318 million km per day) in place of the speed of light (1.16 million km per second) Why??
Another question asks (Why do all Jupiter distances depend on the speed of light 1.16 million km per second?) as we have seen in the previous proof No. (1-10)?
The story told the facts, Uranus provided effect on Jupiter and as a result Jupiter orbit be used as the main orbit in the solar system- BUT- what's this effect Uranus provided on Jupiter? What had happened really?
Uranus sent a light beam its speed (1.16 million km per second) to Jupiter for that Uranus velocity and Jupiter velocity both depends on the speed (1.16 million km per second)
Jupiter should move a distance 1.16 million km per solar day (24h) BUT Mars effect created more problems and caused Jupiter to use (Mars rotation period 24.6h) in place of the solar day and decreased the velocity with 2.5%
Uranus moves a distance 1.16 million km (in TWO solar days- error 1.3%)
The solar system basic design depends on (two seconds and not one second) as I explained in details in the fourth hypothesis of this paper- now – the system design uses two seconds in place of one second because Uranus moves the required distance 1.16 million in two days
Shortly – the force which is sent from Uranus to Jupiter was a light beam its speed 1.16 million km per second and by this force Jupiter helped the solar system and supported the planets in their orbits to prevent more migration in the solar system
I-12 The Solar System Distances Analysis Prove The Hypothesis
DATA (No. I)
50% Of All Distances In The Solar System Are Equal One Another (WHY?)
(1)
Saturn Orbital Distance = Saturn Uranus Distance =1433 million km =
= Mars Orbital Circumference
= Pluto Neptune Distance (error 1.5%)
= Pluto eccentricity Distance (error 1.5%)
= Neptune Orbital Distance/π
= Uranus Orbital Distance /2
= Mercury Jupiter Distance x 2
(2)
Neptune Orbital Distance = Saturn Pluto Distance
Jupiter Pluto Distance = Uranus Neptune Circumference
Earth Neptune Distance = Mercury Saturn Circumference (0.5%)
(3)
Jupiter Mercury Distance = 2 Mercury Orbital Circumference
Jupiter Venus Distance = Venus Orbital Circumference (1.5%)
Jupiter Earth Distance = Earth Orbital Circumference (1.2%)
(Earth and Jupiter at 2 different sides from the sun)
(4)
Jupiter Mercury Distance = Mars Orbital Distance x π (0.6%)
Jupiter Uranus Distance = Venus Jupiter Circumference (0.8%)
Pluto Orbital Distance = Earth Orbital Circumference x 2π
DISCUSSION
The data tells these distances must be created based on each other because all of them are parts in one design and one network- the data tells – it's impossible for these distances to be created univocally nor independently – but they are created by one motion based on one design and for one result.
DATA (No. II)
(778.6/721)=(721/670)= (670/629)=(1433/1325)=(1284/1205)= (2872/2644)= 1.0725
These are distances measured in millions km – let's define them
778.6, 721, 670 and 629 are the distances between Jupiter and the sun, Mercury, Venus and the Earth respectively.
1433, 1325, 1284, 1025 are the distances between Saturn and the sun, Venus, the Earth and Mars respectively.
2872 and 2644 are the distances between Uranus and the sun and Mars respectively.
MORE DATA (No. I)
629 million km (The Earth Jupiter distance)= (1.0725)^2 x 551 million km (Jupiter Mars Distance)
4495.1 million km (Neptune Orbital Distance) =1.0725 x 2 x 2094 million km (Jupiter Uranus Distance)
5906 million km (Pluto Orbital Distance) = (1.0725)^2 x 5127 million km (Jupiter Pluto Distance)
5127 million km (Jupiter Pluto Distance)= (1.0725)^2 x 4437 million km (Mercury Neptune Distance)
2.574 million km (Earth motion distance daily) = 1.0725 x 2.4 million km (TheMoon Orbital Circumference)
DISCUSSION
These distances are rated each other with (1.0725) this rate is created by Lorentz length contraction effect (as I supposed and proved)- but – regardless this rate reason the question is – How can all these distances be effected by this rate together?
That can be possible only if (these distances are parts of one design and this design is effected by this rate as a result all distances be effected together)
The data proves the distances are created together based on one design and the distances are effected together by the same one effect – shortly- these distance can NOT be independent from one another but they are one group created based on one design.
I-13 Deep Analysis For The Planets Orbits
The Light Uses Each Planet Orbital Period To Move A Distance = This Planet Orbit + All Previous Planets Orbits Total
DATA
(1)
14 x 24 x (300000 km/s) = 100.8 million km = 2 x 50.4
(2)
35.76 x 24 x (300000 km/s) = 258 million km = 149.6 + 108.2
(3)
58.1 x 24 x (300000 km/s) = 418 million km = 149.6 + (2 x 108.2) + 58
(4)
109.3 x 24 x (300000 km/s) =787 million km = 58+ 108+149.6 +2 x228 (error 2%)
(5)
687 x 24 x (300000 km/s) = 4900 million km
(6)
687 x 24 x (300000 km/s) = 4900 million km
(7)
1710 x 24 x (300000 km/s) = 12312 million km = 28244/(1.16 x2)
(8)
4868 x 24 x (300000 km/s) = 17600 million km x 2
(9)
9517 x 24 x (300000 km/s) = 68522 million km = 2 x 18048 + 32400
(10)
14413 x 24 x (300000 km/s) = 103773 million km
DISCUSSION
The data shows the rule (Planet Orbital Period "days"/2π) x 24 x Speed Of Light (300000 km/s) = A Distance = This Planet Orbital Circumference + All Previous Planets Orbital Circumferences Total – let's prove this rule in following
(1) Pluto Data
90560 days (Pluto orbital period) /(2π) = 14413 days
14413 x 24 x 300000 km/s = 103773 million km
The planets orbital circumferences total is 100733 million km
Between 103773 mkm and 100733 mkm the error is (3%)
Pluto follows the rule perfectly- the light passes a distance = Pluto orbital circumference + all previous planets orbital circumferences = the planets orbital circumferences total
(2) Neptune Data
59800 days (Neptune orbital period) /(2π) = 9517 days
9517 x 24 x 300000 km/s = 68526 million km = (2 x 18048) + 32400
The distance 2 x 18048 million km = all planets orbital circumferences total before Neptune
32400 mkm = 1.16 mkm/s x 28244 seconds
28244 million km = Neptune orbital circumference
Neptune follows the rule perfectly but because of the energy reflection the speed (1.16 mkm/s) is used one additional time- clearly we see Neptune follows perfectly the rule
(3) Uranus Data
30589 days (Uranus orbital period) /(2π) = 4868 days
4868 x 24 x 300000 km/s = 17600 million km x 2
18048 million km (Uranus Orbital Circumference) (error 2.5%)
Uranus follows the rule perfectly because Uranus orbital circumference =18048 mkm and all previous planets orbital circumferences total is = 18048 mkm
(4) Saturn Data
10747 days (Saturn orbital period) /(2π) = 1710 days
1710 x 24 x 300000 km/s = 12312 million km
Jupiter orbit (4900) + Saturn orbit (9000) = 14000 million km
Light (1.16 million km/s) x 12312 seconds = 14282 million km
Means
The value (12312) equal (Jupiter orbital circumference)+Saturn orbital circumference
But the reflection of energy uses the speed of light (1.16) to have effect on the data
That tells Saturn follows the rule
Notice
12312 sec x 1.16 mkm/s = 14282 mkm = 28244 mkm/2
28244 mkm = Neptune orbital circumference – that tells the confusion in Saturn data is done by Neptune orbit effect
Notice
We see the speed of light (1.16 mkm/s) has effect on Saturn data by division (12312 = 14282/1.16) but in Neptune data we have seen the speed of light (1.16 mkm/s) has effect by multiplication (28244 x 1.16 = 32400)
That tells we have opposite positions between (Neptune and Saturn) and the light connects them together by one motion-
The data tells simply (A x 1.16 and B/1.16) this is effect of one light beam motion through both points.
(6) Jupiter Data
4331 days (Jupiter orbital period) /(2π) = 687 days
687 x 24 x 300000 km/s = 4900 million km
Jupiter orbital circumference = 4900 million km
The distance equal Jupiter orbital circumference only without the previous planets BUT - The inner planets orbital circumferences total be = 4900 million km
Let's prove that
360 (Mercury) + 680 (Venus) +940 (Earth) + 1433 (Mars) = 3413 million km
4900 million km – 3413 million km = 1433 million km
That tells – the data supposes the Earth moon orbital circumference around the sun = Mars orbital circumference = 1433 million km
By that 360 + 680 +940 + 1433 + 1433 = 4846 million km = Jupiter orbital circumference (4900 mkm) (error 1%)
(7)Mars Data
687 days (Mars orbital period) /(2π) = 109.3 days
109.3 x 24 x 300000 km/s = 787 million km = Jupiter orbital distance 778.6 million km (error 2%)
778.6 million km= 57.9 mkm + 108.2 mkm + 149.6 mkm + 227.9 mkm+ 227.9 mkm
Means- Mars Value (787 = 778 = the four inner planets orbital distances total + the Earth moon orbital distance to the sun (which is considered = Mars orbital distance)
Here the value provided the distances total and not the circumferences total
But Mars follows the rule perfectly because
The value (778) = the 5 planets orbital distances total
(8)Earth Data
365.25 days (Earth orbital period) /(2π) = 58.1 days
58.1 x 24 x 300000 km/s = 418 million km = 149.6 mkm (Earth orbital distance) + 2 x 108.2 mkm (Venus orbital distance) + 57.9 mkm (Mercury orbital distance)
The Earth follows the rule- the modification can be done by the moon effect on the earth motion.
(9)Venus Data
224.7 days (Earth orbital period) /(2π) = 35.76 days
35.76 x 24 x (300000 km/s)= 258 million km = 149.6 mkm (Earth orbital distance)+ 108.2 mkm (Venus orbital distance)
(10)Mercury Data
88 days (Earth orbital period) /(2π) = 14 days
14 x 24 x (300000 km/s) = 100.8 million km = 2 x 50.4
50.4 million km = Mercury Venus Distance
The Comment On The Data
(1)
We notice a deep interaction between Mars and Jupiter where Jupiter orbital period (4331 days /2π)= 687 days (Mars orbital period)
And Mars value (109.3 days) enables the light to pass a distance 778.6 mkm
109.3 x 24 x 300000 km/s = 778.6 million km (Jupiter orbital distance)
That shows deep interaction between Mars and Jupiter which is logical behavior because Mars is a migrant planet and Mars created an interaction with Jupiter to enable Mars to stay in its New orbit and prevent any more migration.
(2)
Mars orbital period 687 days = 88 (Mercury) + 224.7 (Venus) + 365.25 (Earth)
(error 1.5%)
Notice - 551 mkm (Mars Jupiter distance) = 57.9 mkm (Mercury orbital distance) + 108.2 mkm (Venus orbital distance) + 149.6 mkm (Earth orbital distance) + 227.9 mkm (Mars orbital distance) (error 1.5%)
(3)
The data shows very important fact
The data tells that (The Light Motion Is The Main Player Behind All Data)
Let's use the sea water as example
The sea water motion is the main player behind the sea waves, the ship sailing, the fish swimming and the cause for any motion in the sea - Different forms of motions in the sea we can discover but the motion reason and motor is the same one reason and motor – This is the useful result of this data- it's simply a major proof for my theory- the light motion is the reason behind all planets motions and data-
Notice - Why Is The Planets Data Analysis Method Important?
The planets data analysis makes some anatomy for the planets data, by that, we can know how this planet data is created and what geometrical reason caused to create this data- the planets data analysis also enable us to discover if a planet violates a rule used by the other planets- and it shows the geometrical reason behind this violation-
1-14 Light defines each planet orbital period
The light defines each planet orbital period based on this planet diameter
Data
142984 s x (0.3)^2 = 12868 = π x 4331 (error 5%)
120536 s x (0.3)^2 = 10747
51118 s x (0.3) = 30589/2
49528 s x (0.3)^2 = 4457
7510 s x (0.3) x 4π^2 = 88945 (= 90560 error 1.8%) (notice 7510 x 4π^2 =296483)
6792 s x (0.3)^2 = 611
7510 s x (0.3)^2 = 676 = 687 (error 1.5%)
12756 s x (0.3)^2 = 1148 = π x 365.25
12104 s x (0.3)^2 = 1089 = (π^2)/2 x 224.7
4879 s x (0.3)^2 = 439 = (π^2)/2 x 88
Notice
7070 s x (0.3)^2 = 637 = 687 / 1.0725
Where
(1)
The left side data is the planets diameters, in details
142984 km, 120536 km, 51118 km, 49528 km and 7510 km are the diameters of (Jupiter, Saturn, Uranus and Neptune respectively and 7510km =Pluto circumference)
And
6792 km, 12756 km, 12014 km and 4879 km are the diameters of (Mars, Earth, Venus and Mercury respectively) – all diameters are used as periods of time with the rate (1 km = 1 second) - The periods are used by light known speed (300000 km/s)
(2)
The right side is the planets orbital periods
12868 = π x 4331 (error 5%) (4331 days = Jupiter orbital period)
10747 days = Saturn orbital period
30589 days = Uranus orbital period
90560 days = Pluto orbital period
Notice
4457 million km = Neptune orbital distance
That shows Neptune produced its orbital distance in place of its orbital period based on the same rule proves that Neptune is found on the opposite direction to the other planets.
687 days = Mars orbital period (with 611 the error 12%)!
1148 days = π x 365.25 days (Earth Orbital Period)
1089 days = (π^2)/2 x 224.7 days (Venus Orbital Period)
439 = (π^2)/2 x 88 days (Mercury Orbital Period)
Notice
7070 s x (0.3)^2 = 637 = 687 / 1.0725
7070 km was Mars original diameter before its migration- and the rate 1.0725 is found by Lorentz length contraction effect.
The Comment On The Data
The data shows the following
Light Motion Connects Each Planet Diameter With Its Orbital Period
The equation modifications can NOT refute the theory because the modifications depend on geometrical constant as (π), or depend on the using of (C) or (C^2)- these values can't be considered new values nor change the rule because they are geometrical constants which shows modifications are done for the energy- for example- the energy reflection causes to square the speed, by that, the planets which us (C) have no reflection of energy but the planets use (C^2) are suffered from the energy reflection- Shortly- the modifications can't refute the theory- means- the data tells – planet orbital period is defined based on this planet diameter by effect of the speed of light
I-15 Can Planet Diameter Be Used As A Period Of Time
DATA
Jupiter (13.1 km/s) moves during 10921 s a distance = 142984 km = Jupiter diameter
Uranus (6.8 km/s) moves during 7510 s a distance =51118 km = Uranus diameter
Pluto (4.7 km/s) moves during 10921 s a distance =51118 km = Uranus diameter
Pluto (4.7 km/s) moves during 51118 s a distance =2 x 102536 km = Saturn diameter
Pluto (4.7 km/s) moves during 2 x 120536 s a distance =1.1318 mkm
(1.13184 mkm = Jupiter motion distance per solar day)
Where
10921 km = The Moon Circumference
7510 km = Pluto Circumference
The data shows the planets diameters are used as periods of time (for planets motions) also and not only for light motion – the fact is proved simply
The Comment On The Data
(1)
My planet diameter equation proves that planet diameter is created as a period of time because the diameter is created as a function in this planet rotation period.
(2)
The previous data is example of many similar which proves the planet diameter is used as period of time.
(3)
How can the planet diameter be used as a period of time?
Planet diameter is used as a period to define another planet diameter-
The idea is that- the solar system is created from one motion (the original light beam motion)- by this one motion all planets diameters are created for that each planet diameter defines the next planet diameter.
(CONT)
Gerges Francis Tawdrous +201022532292
Physics Department- Physics & Mathematics Faculty
Peoples' Friendship university of Russia – Moscow (2010-2013)
Curriculum Vitae https://www.academia.edu/s/b88b0ecb7c
E-mail [email protected], [email protected]
ORCID https://orcid.org/0000-0002-1041-7147
Facebook https://www.facebook.com/gergis.tawadrous
VK https://vk.com/id696655587
Tumblr https://www.tumblr.com/blog/itsgerges
Researcherid https://publons.com/researcher/3510834/gerges-tawadrous/
Google https://scholar.google.com/citations?user=2Y4ZdTUAAAAJ&hl=en
Livejournal https://gerges2022.livejournal.com/profile
Pocket https://getpocket.com/@646g8dZ0p3aX5Ad1bsTr4d9THjA5p6a5b2fX99zd54g221E4bs76eBdtf6aJw5d0?src=navbar
PUBLICATIONS
box https://app.box.com/s/47fwd0gshir636xt0i3wpso8lvvl8vnv
Academia https://rudn.academia.edu/GergesTawadrous
List of publications http://vixra.org/author/gerges_francis_tawdrous
Slideshare https://www.slideshare.net/Gergesfrancis
#Optoelectronics#Isolation Components#Optocouplers#MOCD213R2M#Onsemi#optocoupler driver circuit#Isolation transformer audio#infrared transceiver#optocoupler sensor#optical isolator#what is an optocoupler#IR transceivers#optocoupler relay#photocoupler#opto-isolator#optical power#opto coupler
0 notes
Text
Gate Driver Board Market : Industry Size, Share Trends, Growth, Demand, Opportunities and Global Forecast to 2032
The global Gate Driver Board market size was valued at US$ 1.23 billion in 2024 and is projected to reach US$ 2.01 billion by 2032, at a CAGR of 7.45% during the forecast period 2025–2032. The U.S. market accounted for approximately 25% of global revenue in 2024, while China is expected to witness the fastest growth at 9.1% CAGR through 2032.
Gate Driver Boards are critical components in power electronics that control the switching of semiconductor devices like IGBTs, MOSFETs, and SiC modules. These boards provide the necessary voltage and current to drive power switches efficiently while ensuring protection against short circuits, overcurrent, and overheating. The market comprises three key product types: SiC Gate Driver Boards (fastest growing segment), MOSFET Gate Driver Boards, and IGBT Gate Driver Boards.
The market growth is primarily driven by increasing adoption of electric vehicles, renewable energy systems, and industrial automation. The SiC segment is particularly gaining traction due to its superior efficiency in high-voltage applications. Key players including Infineon Technologies, STMicroelectronics, and ON Semiconductor are investing heavily in R&D to develop advanced gate driver solutions. For instance, in Q1 2024, Infineon launched a new generation of galvanically isolated gate drivers with enhanced protection features for automotive applications.
Get Full Report with trend analysis, growth forecasts, and Future strategies : https://semiconductorinsight.com/report/gate-driver-board-market/
Segment Analysis:
By Type
SiC Gate Driver Board Segment Leads Due to High Efficiency in Power Electronics
The market is segmented based on type into:
SiC Gate Driver Board
MOSFET Gate Driver Board
IGBT Gate Driver Board
Others
By Application
Automotive Sector Dominates Market Share Due to Rising EV Adoption
The market is segmented based on application into:
Automobile
Motor
Home Appliances
Others
By Voltage Range
High Voltage Segment Gains Traction for Industrial Power Systems
The market is segmented based on voltage range into:
Low Voltage
Medium Voltage
High Voltage
By Isolation Type
Optocoupler-based Isolation Preferred for Enhanced Safety Requirements
The market is segmented based on isolation type into:
Optocoupler-based
Magnetic Isolation
Capacitive Isolation
None-Isolated
Regional Analysis: Gate Driver Board Market
North America The North American gate driver board market is driven by advanced semiconductor manufacturing and strong demand from electric vehicle (EV) and industrial automation sectors. The U.S. accounts for over 60% of regional revenue, supported by major players like Infineon Technologies and Microchip Technology. Robust investments in 5G infrastructure and renewable energy systems further propel the adoption of SiC-based gate driver boards, with the U.S. Department of Energy allocating $3 billion for next-gen power electronics research. However, supply chain disruptions and geopolitical trade tensions pose challenges for manufacturers sourcing components from overseas.
Europe Europe’s market growth is fueled by stringent energy efficiency regulations like EU Ecodesign Directives, pushing industrial and automotive sectors toward optimized power devices. Germany dominates with its strong automotive OEM base, while Nordic countries lead in renewable energy applications. The region shows increasing preference for isolated gate driver solutions to meet safety standards in high-voltage applications. European manufacturers face margin pressures due to rising raw material costs but maintain technological leadership through R&D collaboration between academia and industry.
Asia-Pacific Accounting for 42% of global gate driver board consumption, the Asia-Pacific market is propelled by China’s massive electronics manufacturing sector and India’s growing EV industry. China’s semiconductor self-sufficiency initiatives have boosted local players like TARAZ TECHNOLOGIES, while Japan maintains dominance in high-reliability industrial applications. Price sensitivity drives demand for cost-effective MOSFET driver solutions, though premium segments show strong uptake in advanced manufacturing and energy storage systems. Infrastructure challenges and intellectual property concerns remain barriers for international suppliers.
South America The region presents nascent but promising opportunities, particularly in Brazil’s motor drives and Argentina’s renewable energy sectors. Limited local production capacity creates import dependency, with most gate driver boards sourced from Asia and North America. Growth is constrained by economic instability and fragmented regulatory environments, though increasing foreign investments in mining electrification and smart grid projects create pockets of demand. Suppliers must balance cost competitiveness with the need for ruggedized designs suitable for challenging operating conditions.
Middle East & Africa Market development in this region follows infrastructure modernization programs, particularly in Gulf Cooperation Council (GCC) countries. The UAE and Saudi Arabia drive demand through smart city initiatives and oil/gas industry automation. Africa shows potential in off-grid solar applications but faces adoption barriers due to limited technical expertise and after-sales support networks. While the market remains small compared to other regions, strategic partnerships with local distributors enable global players to establish footholds for long-term growth.
MARKET OPPORTUNITIES
Wide-Bandgap Semiconductor Revolution Creating Next-Generation Demand
Silicon carbide (SiC) and gallium nitride (GaN) technologies are transforming power electronics, with the SiC power module market expected to grow at 34% CAGR through 2030. These advanced semiconductors operate at higher temperatures, voltages, and frequencies than traditional silicon, requiring completely reimagined gate driver architectures. Manufacturers developing specialized GDBs for wide-bandgap applications can command 40-60% price premiums over conventional solutions.
Intelligent Gate Drivers Opening New Value Propositions
The integration of embedded processors and AI-based predictive algorithms creates opportunities for intelligent gate drivers that can self-optimize performance. Modern solutions now incorporate real-time health monitoring sensors that predict semiconductor degradation with 90%+ accuracy up to 1000 hours before failure. This capability is particularly valuable for mission-critical industrial systems where unplanned downtime costs exceed $260,000 per hour in some verticals. As Industry 4.0 adoption accelerates, smart gate drivers with IIoT connectivity will become standard requirements rather than premium options.
Moreover, the renewable energy sector’s rapid expansion presents untapped potential. Solar microinverter architectures alone are projected to drive demand for 25 million specialized gate driver units annually by 2027, as installers seek solutions that maximize energy harvest while withstanding harsh environmental conditions.
MARKET CHALLENGES
Thermal Management Constraints Limiting Power Density Improvements
While power semiconductor technology advances rapidly, thermal dissipation remains a stubborn bottleneck. Modern gate drivers must operate reliably at junction temperatures exceeding 175°C in automotive applications, pushing conventional packaging materials to their limits. Even with advanced cooling techniques, thermal resistance between semiconductor dies and heat sinks frequently exceeds 0.5°C/W – a significant constraint when dealing with multi-kilowatt power stages.
Other Critical Challenges
EMI/EMC Compliance Complexities The faster switching speeds enabled by modern GDBs generate significant electromagnetic interference, with common-mode noise often exceeding 100dBµV without careful mitigation. Meeting stringent automotive and medical EMC standards requires sophisticated board layouts and filtering techniques that add 15-20% to development costs.
Safety Certification Hurdles Achieving necessary safety certifications (such as IEC 62368-1 for reinforced isolation) demands extensive testing and documentation. The process typically adds 6-9 months to product development cycles and requires specialized test equipment costing upwards of $500,000 per setup.
GATE DRIVER BOARD MARKET TRENDS
Growing Electric Vehicle Adoption Fueling Demand for Gate Driver Boards
The rapid expansion of electric vehicle (EV) production globally has emerged as a primary driver for the gate driver board market. These components play a critical role in power semiconductor switching applications, particularly in EV inverters that convert DC battery power to AC for motor control. With annual EV sales projected to exceed 40 million units by 2030, manufacturers are scaling up production of high-performance gate drivers capable of handling silicon carbide (SiC) and gallium nitride (GaN) power devices. The automotive segment currently accounts for over 35% of total gate driver demand, a share expected to grow as legacy automakers accelerate their electrification roadmaps.
Other Trends
Shift Toward Wide Bandgap Semiconductors
The transition from traditional silicon-based to wide bandgap semiconductor technologies is reshaping gate driver requirements. SiC and GaN devices offer superior efficiency in high-power applications but demand specialized driver circuits with fast switching capabilities and robust protection features. This technological shift has prompted leading suppliers like Infineon and STMicroelectronics to develop dedicated gate driver IC families supporting switching frequencies above 100 kHz. The SiC gate driver segment alone is forecast to grow at a 25% CAGR through 2030, outpacing the overall market as renewable energy and industrial applications adopt these advanced power solutions.
Industrial Automation Driving Innovation
Expanding industrial automation across manufacturing sectors continues to fuel demand for reliable motor control solutions incorporating gate driver technology. Modern robotics, CNC machinery, and servo systems increasingly utilize intelligent gate drivers with integrated diagnostics and protection circuits. The growing emphasis on predictive maintenance in Industry 4.0 environments has led to the development of driver boards with real-time monitoring capabilities for parameters like gate voltage and temperature. As factory automation investments are projected to grow by 12% annually, gate driver manufacturers are focusing on ruggedized designs capable of withstanding harsh industrial environments while ensuring precise power device control.
Miniaturization Challenges Emerging
While performance requirements intensify, size constraints in modern electronics are pushing gate driver designers to balance functionality with compact form factors. The proliferation of portable medical devices and IoT equipment has created demand for space-efficient driver solutions, prompting innovations in packaging technologies and system-on-chip integration. However, thermal management remains a critical challenge as higher power densities can compromise reliability. Leading suppliers are addressing this through advanced isolation techniques and embedded thermal protection circuits, enabling smaller footprints without sacrificing robustness in mission-critical applications.
COMPETITIVE LANDSCAPE
Key Industry Players
Technological Innovation and Strategic Alliances Define Market Leadership
The global gate driver board market features a robust competitive environment with both established semiconductor giants and specialized technology providers vying for market share. Infineon Technologies emerges as a dominant force, leveraging its extensive R&D capabilities and comprehensive portfolio of power semiconductor solutions. The company’s recent advancements in silicon carbide (SiC) gate driver technology have particularly strengthened its position in high-growth sectors like electric vehicles and renewable energy systems.
STMicroelectronics and Analog Devices hold significant market positions, capturing approximately 22% of the global revenue share combined in 2024. Their competitive edge stems from vertically integrated manufacturing capabilities and strong partnerships with automotive OEMs. While Analog Devices excels in precision signal processing solutions, STMicroelectronics has made notable strides in intelligent power module integration.
Meanwhile, Japanese firm Toshiba demonstrates formidable expertise in IGBT driver technology, particularly for industrial motor drives. The company has been aggressively expanding its production capacity in Southeast Asia to meet growing regional demand. ROHM Semiconductor complements this landscape with its innovative GaN-based driver solutions, carving out a niche in high-frequency power conversion applications.
Emerging players like TARAZ TECHNOLOGIES and EgrTech are disrupting traditional market dynamics through specialized solutions for niche applications. Their agility in custom design services and faster time-to-market for application-specific driver boards present both competition and collaboration opportunities for larger players.
List of Key Gate Driver Board Manufacturers
Infineon Technologies (Germany)
Analog Devices, Inc. (U.S.)
Applied Power Systems (U.S.)
TARAZ TECHNOLOGIES (U.S.)
Semikron (Germany)
STMicroelectronics (Switzerland)
EgrTech (South Korea)
Microchip Technology (U.S.)
CISSOID (Belgium)
Skyworks Solutions (U.S.)
ABB (Switzerland)
Onsemi (U.S.)
Power Integrations (U.S.)
Wolfspeed (U.S.)
Mitsubishi Electric (Japan)
Toshiba Electronic Devices & Storage Corporation (Japan)
NXP Semiconductors (Netherlands)
ROHM Semiconductor (Japan)
Learn more about Competitive Analysis, and Forecast of Global Gate Driver Board Market : https://semiconductorinsight.com/download-sample-report/?product_id=103273
FREQUENTLY ASKED QUESTIONS:
What is the current market size of Global Gate Driver Board Market?
-> The global Gate Driver Board market size was valued at US$ 1.23 billion in 2024 and is projected to reach US$ 2.01 billion by 2032, at a CAGR of 7.45% during the forecast period 2025–2032
Which key companies operate in Global Gate Driver Board Market?
-> Key players include Infineon Technologies, Analog Devices, STMicroelectronics, Microchip Technology, ABB, Onsemi, and ROHM, among others. The top five players accounted for approximately % market share in 2024.
What are the key growth drivers?
-> Key growth drivers include rising EV adoption, industrial automation, renewable energy integration, and demand for efficient power electronics.
Which region dominates the market?
-> Asia-Pacific is the largest market, driven by semiconductor manufacturing in China and South Korea, while North America shows strong growth in EV applications.
What are the emerging trends?
-> Emerging trends include wide-bandgap semiconductor adoption (SiC/GaN), intelligent gate drivers with diagnostics, and high-voltage applications in EVs.
Browse Related Reports :
CONTACT US:
City vista, 203A, Fountain Road, Ashoka Nagar, Kharadi, Pune, Maharashtra 411014 +91 8087992013 [email protected]
0 notes
Text
Powering Safety and Efficiency Digital Isolator Market Size Outlook
In high-speed digital systems, ensuring signal integrity while maintaining electrical isolation is paramount. The Digital Isolator Market Size has emerged as a critical segment in the electronics industry, offering innovative solutions for noise immunity, data integrity, and safety in complex circuit designs. With increasing demand for high-speed communication, automotive safety systems, and industrial automation, the market is witnessing strong growth across the globe.
Overview
According to Market Size Research Future, the Digital Isolator Market Size was valued at USD 2.1 Billion in 2023 and is projected to reach USD 4.8 Billion by 2032, growing at a compound annual growth rate (CAGR) of 9.82% from 2024 to 2032.
Digital isolators are replacing traditional optocouplers due to their enhanced performance, longer life, and higher data rates. These devices provide galvanic isolation between different circuit parts, preventing high voltages from disrupting system communication—particularly vital in power electronics, EVs, and industrial systems.
Market Size Segmentation
To better understand the evolving market landscape, the Digital Isolator Market Size is segmented based on Isolation Type, Data Rate, Channel, Application, and End User.
By Isolation Type:
Capacitive Coupling
Magnetic Coupling
Giant Magnetoresistive (GMR)
By Data Rate:
Up to 25 Mbps
25–75 Mbps
Above 75 Mbps
By Channel:
2-Channel
4-Channel
6-Channel
8-Channel
By Application:
Gate Drivers
DC/DC Converters
ADCs
CAN Isolation
Others
By End User:
Automotive
Industrial
Healthcare
Telecommunications
Consumer Electronics
Aerospace and Defense
Market Size Trends
1. Shift Toward Capacitive and Magnetic Coupling
Digital isolators using capacitive and magnetic coupling technologies are gaining traction due to their speed advantages and lower power consumption compared to traditional optocouplers.
2. Electrification of Automotive Systems
As electric vehicles (EVs) and hybrid electric vehicles (HEVs) proliferate, the demand for digital isolators is surging to support battery management systems (BMS), motor control units, and onboard chargers.
3. Growing Focus on Industry 4.0
In the age of smart manufacturing, isolators play a vital role in protecting sensitive microcontrollers and sensors from power surges and transient voltages in automated factory environments.
4. Miniaturization and Integration
Manufacturers are designing compact digital isolators with multi-channel configurations to support space-constrained applications such as wearables, drones, and compact industrial tools.
Segment Insights
Automotive
Digital isolators are critical in automotive systems to provide galvanic isolation for EV chargers, inverters, battery systems, and safety electronics. The rising focus on advanced driver assistance systems (ADAS) further boosts their adoption.
Industrial
Industrial automation systems depend on reliable data communication between sensors, controllers, and machines. Isolators protect these connections in electrically noisy environments and enhance system longevity.
Healthcare
Medical devices such as MRI scanners, infusion pumps, and surgical tools require safe signal isolation to avoid electrical hazards. Digital isolators are increasingly integrated into these applications for patient and equipment safety.
Consumer Electronics
Smartphones, wearables, and home automation systems benefit from digital isolators for safe data transfer and efficient power distribution in highly integrated environments.
End-User Insights
Telecommunications
As telecom networks scale up to support 5G, isolators help manage signal integrity across high-frequency circuits and switching power supplies. Their role in protecting base stations and routers is growing substantially.
Aerospace and Defense
In avionics and military systems, isolators are used to withstand harsh conditions while ensuring safe data communication and power isolation in radar, control systems, and signal processing equipment.
Renewable Energy
With the expansion of solar and wind energy installations, isolators support reliable energy conversion, storage, and grid connectivity by maintaining voltage separation between system components.
Key Players
Major companies in the Digital Isolator Market Size are focusing on innovation, product miniaturization, and integration to maintain competitiveness. Key players include:
Texas Instruments Incorporated
Analog Devices Inc.
Broadcom Inc.
Infineon Technologies AG
Silicon Labs
ROHM Semiconductor
Maxim Integrated (Now part of Analog Devices)
Vicor Corporation
Murata Manufacturing Co., Ltd.
NXP Semiconductors
These companies are investing in R&D and expanding partnerships to cater to evolving demands in automotive, healthcare, and industrial applications.
Conclusion
The Digital Isolator Market Size is integral to the advancement of safe, high-speed, and reliable electronic systems across industries. As new technologies like EVs, Industry 4.0, and renewable energy mature, the need for efficient isolation solutions will continue to rise. With its robust growth trajectory and strategic importance, the digital isolator sector is set to play a central role in shaping future-ready electronic ecosystems.
Trending Report Highlights
Explore emerging technologies and markets related to electronic systems and automation:
Thermal Management in Consumer Electronics System Market Size
Underfill Dispensers Market Size
Wet Chemicals Market Size
Taiwan Robotics Market Size
Automatic Elevator Inverter Market Size
Washdown Sensor Market Size
Electric Vehicle Capacitors Market Size
Fully Automatic Molding Machine Market Size
Industrial Automation Spares Market Size
North America Building Automation Systems (BAS) Market Size
Asia-Pacific Warehouse Automation Market Size
Thyristor Electric Power Controller Market Size
0 notes
Text
High Power Gate Drive Interface Optocoupler Market: Market Dynamics, Restraints, and Drivers 2025–2032

MARKET INSIGHTS
The global High Power Gate Drive Interface Optocoupler Market size was valued at US$ 789.4 million in 2024 and is projected to reach US$ 1.34 billion by 2032, at a CAGR of 6.9% during the forecast period 2025-2032.
High Power Gate Drive Interface Optocouplers are critical components that provide electrical isolation between high-voltage power circuits and low-voltage control systems. These devices combine an LED with a photodetector to transmit signals across an isolation barrier, enabling safe and efficient switching of power semiconductor devices like IGBTs and MOSFETs. Key specifications include propagation delay time (ranging from below 0.1μs to above 0.4μs), isolation voltage ratings, and output current capacity.
The market growth is driven by increasing electrification across automotive and industrial applications, stringent safety regulations requiring galvanic isolation, and rising demand for energy-efficient power electronics. Notably, the Max Propagation Delay Time Below 0.1 Microsecond segment is projected to grow at 8.2% CAGR through 2032, reflecting industry demands for faster switching speeds. Major players like Broadcom, Onsemi, and Vishay Intertechnology are expanding their product portfolios to address emerging applications in EV charging, renewable energy systems, and industrial automation.
MARKET DYNAMICS
MARKET DRIVERS
Expanding Electric Vehicle Infrastructure to Accelerate Optocoupler Adoption
The global push toward electrification in automotive applications is creating robust demand for high-power gate drive interface optocouplers. With projected EV sales exceeding 17 million units annually by 2024, power semiconductor components are facing unprecedented requirements for isolation and noise immunity. High power optocouplers serve critical functions in EV powertrains, charging stations, and battery management systems by providing reinforced galvanic isolation up to 5 kV RMS. Manufacturers are responding with innovative products featuring faster switching speeds below 0.1 μs propagation delay - crucial for high-frequency power MOSFET and IGBT gate driving applications in traction inverters operating beyond 100 kW ranges.
Industrial Automation Revolution Demands Reliable Signal Isolation
Industry 4.0 implementations across discrete and process manufacturing are driving substantial investments in motor drive systems, where optocouplers isolate control signals from power stages. The industrial motor drive market, projected to maintain steady growth above 6% CAGR through 2032, requires optocoupler solutions that can withstand severe electromagnetic interference while maintaining signal integrity. Recent product launches feature improved common mode transient immunity (CMTI) ratings exceeding 100 kV/μs - a critical specification for preventing false triggering in high-noise industrial environments. These performance enhancements directly address the needs of automated production lines with increasing deployment of servo drives and robotics.
Furthermore, the renewable energy sector presents significant growth avenues as solar inverters and wind turbine converters require reliable gate drive isolation. Grid-connected power conversion systems are adopting advanced optocouplers with integrated desaturation detection to protect expensive power modules from overcurrent conditions.
MARKET RESTRAINTS
Thermal Management Challenges in High-Density Designs
As power electronics systems trend toward higher integration and smaller form factors, optocoupler packaging faces thermal dissipation limitations. Junction temperatures in high-power gate drive applications frequently exceed 125°C, necessitating careful thermal design to maintain reliability. The industry faces technical hurdles in developing cost-effective solutions that balance isolation performance against thermal resistance metrics. Several high-profile product recalls in industrial drives have been attributed to premature optocoupler failures under thermal stress, highlighting the sensitivity of LED-photodiode pairs to prolonged high-temperature operation.
Material Cost Volatility Impacts Profit Margins
The optoelectronics supply chain remains vulnerable to fluctuations in rare earth material prices, particularly gallium arsenide used in high-speed photodetectors. Since gate drive optocouplers require precisely doped semiconductor materials to achieve nanosecond-scale switching performance, manufacturers face narrow operational margins during raw material shortages. Recent geopolitical tensions have exacerbated these challenges, with supply allocations prioritizing consumer electronics over industrial components. This has created production bottlenecks for specialized optocouplers featuring ultrafast response times below 50 ns, which require premium-grade substrates.
MARKET CHALLENGES
Competitive Pressure from Emerging Isolation Technologies
While optocouplers maintain dominance in voltage isolation applications, emerging technologies pose disruptive threats. Magnetic couplers and capacitive isolation ICs are gaining traction in medium-power applications due to superior propagation consistency and smaller footprints. These alternatives offer significant advantages in reliability and mean time between failures (MTBF), with some capacitive isolators demonstrating lifetimes exceeding 40 years compared to traditional optocoupler ratings of 10-15 years. However, optocouplers retain decisive advantages in transient voltage withstand capability, making them indispensable in ultra-high voltage applications above 10 kV.
Other Challenges
Regulatory Compliance Complexities Global safety certifications for reinforced isolation components vary significantly by region, with IEC 60747-5-5 standards in Europe differing from UL 1577 requirements in North America. Manufacturers must navigate intricate certification processes that can delay product launches by 9-12 months, particularly for medical-grade or automotive-qualified components.
Skilled Labor Shortages The specialized nature of optoelectronic component design has created talent gaps in optocoupler development teams. As veteran engineers retire, companies face challenges in transferring institutional knowledge about LED aging characteristics and silicon photodiode optimization.
MARKET OPPORTUNITIES
SiC/GaN Power Device Proliferation Creates Architectural Shifts
The rapid adoption of wide bandgap semiconductors presents transformative opportunities for gate drive optocoupler innovation. Silicon carbide and gallium nitride power devices operate at switching frequencies 5-10x higher than silicon IGBTs, demanding optocouplers with propagation delays below 0.05 microseconds. Leading manufacturers are developing specialized products with bandwidth exceeding 10 MHz to support these next-generation power switches. The market for SiC/GaN gate drivers is projected to grow exponentially, reaching several billion dollars annually by the decade's end, with optocoupler interfaces capturing substantial portions of this emerging segment.
Smart Manufacturing Enables Predictive Maintenance
Industrial IoT implementations are creating demand for condition-monitoring capable isolation components. Next-generation optocouplers incorporate photodiode health monitoring circuits that predict end-of-life through LED luminous intensity tracking. This functionality proves particularly valuable in mission-critical applications like rail traction systems and uninterruptible power supplies, where component failures carry severe consequences. The predictive maintenance market's expansion into power electronics promises to establish new revenue streams for optocoupler vendors offering intelligent monitoring features.
HIGH POWER GATE DRIVE INTERFACE OPTOCOUPLER MARKET TRENDS
Increasing Demand for High-Speed Switching in Power Electronics to Drive Market Growth
The global high power gate drive interface optocoupler market is experiencing significant growth, driven by the increasing demand for high-speed switching capabilities in power electronics applications. With the market projected to expand at a CAGR of approximately 3-5% over the forecast period, devices with propagation delay times below 0.1 microseconds are capturing significant interest due to their ability to enhance efficiency in motor control, renewable energy systems, and industrial automation. The transition toward wide-bandgap semiconductors, such as silicon carbide (SiC) and gallium nitride (GaN), has further accelerated adoption, as these materials require optocouplers with faster response times to manage high-frequency switching.
Other Trends
Electrification in Automotive and Aerospace
The electrification of vehicles and aircraft is a key factor propelling demand for high-power optocouplers. With the automotive sector expected to account for a substantial market share, the integration of advanced driver-assistance systems (ADAS), electric powertrains, and battery management systems (BMS) necessitates reliable isolation solutions. Similarly, in aerospace, optocouplers play a critical role in ensuring signal integrity in avionics and power distribution networks, contributing to enhanced safety and performance in next-generation aircraft.
Energy Efficiency and Industrial Automation
The push for energy efficiency in industrial settings is another major market trend. High power gate drive optocouplers enable precise control in motor drives, inverters, and power supplies, optimizing energy consumption while minimizing heat dissipation. With industrial automation rapidly advancing due to Industry 4.0 initiatives, manufacturers are increasingly adopting optocouplers to enhance reliability in high-voltage applications. Additionally, the renewable energy sector, particularly solar and wind power conversion systems, depends on these components for efficient power management and grid stability.
COMPETITIVE LANDSCAPE
Key Industry Players
Innovation and Strategic Partnerships Drive Market Leadership
The global High Power Gate Drive Interface Optocoupler market features a moderately consolidated competitive landscape, dominated by established semiconductor manufacturers with strong technical capabilities. Broadcom Inc. leads the market with approximately 22% revenue share in 2024, owing to its comprehensive product portfolio and robust distribution network across North America and Asia-Pacific. The company's ACPL-series optocouplers have become industry benchmarks for high-speed power switching applications.
Vishay Intertechnology and Toshiba collectively account for nearly 30% market share, with their products widely adopted in automotive and industrial applications. These companies continue to invest heavily in R&D to improve isolation voltage ratings and reduce propagation delays - critical parameters for modern power electronics systems.
The market has seen increased merger and acquisition activity in recent years, with Onsemi's acquisition of GT Advanced Technologies and Renesas' strategic partnerships with Chinese manufacturers strengthening their market positions. Additionally, Asian players like Everlight Electronics and LITE ON Technology are gaining traction through competitive pricing and localization strategies.
Emerging demand for electric vehicles and renewable energy systems is prompting companies to develop next-generation optocouplers with higher temperature tolerance and improved noise immunity. Market leaders are also focusing on vertical integration to secure supply chains amid ongoing semiconductor shortages.
List of Key High Power Gate Drive Interface Optocoupler Manufacturers
Broadcom Inc. (U.S.)
Vishay Intertechnology (U.S.)
Toshiba Electronic Devices & Storage Corporation (Japan)
Onsemi (U.S.)
Renesas Electronics Corporation (Japan)
Panasonic Corporation (Japan)
Everlight Electronics Co., Ltd. (Taiwan)
LITE ON Technology Corporation (Taiwan)
ISOCOM Limited (UK)
IXYS Corporation (Germany)
Segment Analysis:
By Type
Max Propagation Delay Time Below 0.1 Microsecond Segment Leads Due to High-Speed Switching Requirements
The market is segmented based on propagation delay time into:
Max Propagation Delay Time Below 0.1 Microsecond
Max Propagation Delay Time from 0.1 to 0.2 Microsecond (Including 0.1 Microsecond)
Max Propagation Delay Time from 0.2 to 0.3 Microsecond (Including 0.2 Microsecond)
Max Propagation Delay Time from 0.3 to 0.4 Microsecond (Including 0.3 Microsecond)
Max Propagation Delay Time Above 0.4 Microsecond (Including 0.4 Microsecond)
By Application
Energy Sector Dominates Due to Extensive Use in Power Electronics and Renewable Energy Systems
The market is segmented based on application into:
Energy
Automotive
Aerospace and Aviation
Others
By Voltage Range
High Voltage Segment Gains Traction for Industrial Power Applications
The market is segmented based on voltage range into:
Low Voltage (Below 600V)
Medium Voltage (600V-1200V)
High Voltage (Above 1200V)
By Isolation Type
Reinforced Isolation Preferred for Safety-Critical Applications
The market is segmented based on isolation type into:
Basic Isolation
Reinforced Isolation
Double Isolation
Regional Analysis: High Power Gate Drive Interface Optocoupler Market
North America The North American market for high power gate drive interface optocouplers is driven by advanced industrial automation and electric vehicle (EV) adoption. The U.S. accounts for over 60% of regional demand due to strong R&D investments in semiconductor technology and strict safety standards in power electronics. Major players like Broadcom and Onsemi dominate supply chains, supporting applications in renewable energy systems and EV charging infrastructure. Canada's growing focus on smart grid technologies further boosts demand for high-performance optocouplers with fast switching capabilities below 0.1 microsecond delays.
Europe Europe shows strong adoption of high-power optocouplers in industrial motor drives and sustainable energy solutions, supported by EU directives on energy efficiency. Germany leads with 35% market share, where manufacturers prioritize components with 0.1-0.3 microsecond propagation delays for precision control systems. The region's automotive sector increasingly integrates these optocouplers in hybrid/electric powertrains, though component shortages occasionally disrupt supply chains. Compliance with RoHS and REACH regulations adds production costs but strengthens product reliability for mission-critical applications.
Asia-Pacific As the fastest-growing regional market, Asia-Pacific benefits from concentrated electronics manufacturing in China (which accounts for 55% of regional demand) and expanding power infrastructure projects across India and Southeast Asia. Local producers like Everlight Electronics and LITE ON Technology compete on price-optimized solutions with 0.2-0.4 microsecond delay times. Japan remains the technology leader for aerospace-grade components, while emerging economies prioritize cost-effective options. The region's CAGR of 8.2% (2024-2032) outpaces global averages due to prolific EV production and 5G infrastructure deployments.
South America Market growth in South America is constrained by economic instability, though Brazil and Argentina show increasing adoption in renewable energy converters and industrial automation. Import dependency (70% of components) keeps prices 15-20% above global averages. Local manufacturers focus on ruggedized optocouplers above 0.4 microsecond delays for mining and oil/gas applications, where reliability outweighs speed requirements. Government incentives for solar energy projects present growth opportunities, but currency fluctuations deter long-term investments in advanced semiconductor technologies.
Middle East & Africa This emerging market demonstrates niche demand concentrated in UAE and Saudi Arabia for oilfield equipment and desalination plant controls. The lack of local semiconductor fabs creates total import reliance, with most components featuring 0.3+ microsecond delays suitable for harsh environments. South Africa shows potential as a manufacturing hub, but political uncertainty delays infrastructure projects needing high-power optocouplers. Telecom tower expansions and gradual EV adoption may drive future growth, though the region remains a minor contributor at <5% of global market share.
Report Scope
This market research report provides a comprehensive analysis of the global and regional High Power Gate Drive Interface Optocoupler markets, covering the forecast period 2025–2032. It offers detailed insights into market dynamics, technological advancements, competitive landscape, and key trends shaping the industry.
Key focus areas of the report include:
Market Size & Forecast: Historical data and future projections for revenue, unit shipments, and market value across major regions and segments. The global market was valued at USD million in 2024 and is projected to reach USD million by 2032, growing at a CAGR of % during the forecast period.
Segmentation Analysis: Detailed breakdown by product type (Max Propagation Delay Time categories), technology, application (Energy, Automotive, Aerospace & Aviation), and end-user industry to identify high-growth segments.
Regional Outlook: Insights into market performance across North America (U.S. market size estimated at USD million in 2024), Europe, Asia-Pacific (China projected to reach USD million), Latin America, and Middle East & Africa.
Competitive Landscape: Profiles of leading participants including Broadcom, Everlight Electronics, ISOCOM, IXYS, and others, covering their product offerings, market share (top five held approximately % in 2024), and strategic developments.
Technology Trends & Innovation: Assessment of emerging optocoupler technologies, integration with power electronics, and evolving industry standards for high-power applications.
Market Drivers & Restraints: Evaluation of factors including EV adoption, renewable energy growth, and industrial automation alongside supply chain constraints and regulatory challenges.
Stakeholder Analysis: Strategic insights for component suppliers, OEMs, system integrators, and investors regarding the evolving power electronics ecosystem.
Primary and secondary research methods were employed, including manufacturer surveys, expert interviews, and verified market data to ensure accuracy and reliability.
FREQUENTLY ASKED QUESTIONS:
What is the current market size of Global High Power Gate Drive Interface Optocoupler Market?
-> High Power Gate Drive Interface Optocoupler Market size was valued at US$ 789.4 million in 2024 and is projected to reach US$ 1.34 billion by 2032, at a CAGR of 6.9% during the forecast period 2025-2032.
Which key companies operate in this market?
-> Key players include Broadcom, Everlight Electronics, ISOCOM, IXYS, LITE ON Technology, Onsemi, Panasonic, Renesas Electronics, Toshiba, and Vishay Intertechnology.
What are the key growth drivers?
-> Key drivers include rising EV production, renewable energy adoption, and industrial automation demand.
Which region dominates the market?
-> Asia-Pacific leads in growth, particularly China, while North America remains a significant market.
What are the emerging trends?
-> Emerging trends include miniaturization, higher isolation voltages, and integration with wide-bandgap semiconductors.
Related Reports:https://semiconductorblogs21.blogspot.com/2025/06/binary-gas-analyzer-market-size-share.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/inverted-light-microscopy-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/insulating-functional-devices-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/multi-core-computer-processors-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/power-factor-correction-choke-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/tunable-ultrafast-source-market-key.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/solid-state-remote-power-controller.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/panel-interface-connector-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/semiconductor-process-components-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/automotive-high-mount-stop-light-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/indium-antimonide-detector-alarm-market.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/din-rail-mounted-thermocouple-terminal.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/hbm2-dram-market-competitive-landscape.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/aptamer-based-quartz-crystal.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/helium-neon-laser-tubes-market-analysis.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/semiconductor-structural-components.htmlhttps://semiconductorblogs21.blogspot.com/2025/06/optical-power-and-energy-market-size.html
0 notes
Text
Automotive Isolated Amplifier Market 2025-2032
MARKET INSIGHTS
The global Automotive Isolated Amplifier Market size was valued at US$ 345.6 million in 2024 and is projected to reach US$ 567.8 million by 2032, at a CAGR of 6.4% during the forecast period 2025-2032. This growth trajectory aligns with increasing vehicle electrification trends, where isolated amplifiers play a critical role in noise-sensitive automotive applications.
Automotive isolated amplifiers are specialized electronic components designed to amplify low-level signals while preventing ground loops and protecting sensitive circuits from high-voltage transients. These devices find extensive application in electric vehicles (EVs), hybrid vehicles, and automotive battery management systems. Key variants include optoelectronic isolated amplifiers, capacitor isolated amplifiers, and transformer isolated amplifiers, each offering distinct advantages in terms of isolation voltage and signal integrity.
The market expansion is driven by several critical factors: the global push towards vehicle electrification, stringent automotive safety regulations, and growing demand for advanced driver-assistance systems (ADAS). Asia-Pacific currently dominates the market, accounting for 48% of global demand in 2024, primarily due to China’s leadership in EV production. Major players like ADI, TI, and ROHM are actively developing next-generation isolated amplifiers with higher integration and improved electromagnetic compatibility to meet evolving automotive requirements.
Access Your Free Sample Report Now-https://semiconductorinsight.com/download-sample-report/?product_id=97555
Key Industry Players
Strategic Innovation and Regional Dominance Define Market Competition
The global automotive isolated amplifier market features a mix of established semiconductor manufacturers and specialized analog IC vendors competing through technological differentiation. Analog Devices Inc. (ADI) and Texas Instruments (TI) collectively hold over 35% market share, leveraging their extensive portfolios in precision signal conditioning and longstanding relationships with automotive Tier 1 suppliers. ADI’s recent introduction of galvanically isolated amplifiers with reinforced insulation highlights their R&D focus on meeting stringent automotive safety standards.
Asia-Pacific based players like ROHM Semiconductor and Shanghai Chipanalog Microelectronics are gaining traction through cost-optimized solutions tailored for regional OEMs. ROHM’s expansion of its BD7x series isolated amplifiers specifically addresses the growing demand in China’s NEV sector, which accounted for nearly 60% of global EV production in 2023. Meanwhile, Japanese conglomerate Toshiba maintains technological leadership in capacitor-coupled isolation, with its latest devices achieving 5kVrms withstand voltage – critical for high-voltage battery management systems.
The competitive landscape is intensifying as European players like STMicroelectronics and Infineon (through acquisitions) expand their automotive isolation portfolios. ST’s partnership with a leading German automaker to develop ASIL-D compliant amplifiers demonstrates the growing emphasis on functional safety. Meanwhile, smaller specialized firms are carving niches in emerging applications – Broadcom‘s optocoupler-based isolation technology shows particular promise in motor drive systems.
List of Key Automotive Isolated Amplifier Companies Profiled
Analog Devices, Inc. (ADI) (U.S.)
Texas Instruments (TI) (U.S.)
Broadcom Inc. (U.S.)
ROHM Semiconductor (Japan)
Toshiba Electronic Devices & Storage Corporation (Japan)
Renesas Electronics Corporation (Japan)
Shanghai Chipanalog Microelectronics Co., Ltd. (China)
STMicroelectronics (Switzerland)
Infineon Technologies AG (Germany)
Shanghai Belling Corp., Ltd. (China)
Segment Analysis:
By Type
Transformer Isolated Amplifiers Lead Market Due to Superior Noise Immunity in Automotive Applications
The market is segmented based on type into:
Optoelectronic Isolated Amplifiers
Subtypes: High-speed optocouplers, linear optocouplers, and others
Capacitor Isolated Amplifiers
Subtypes: Single-channel, multi-channel, and others
Transformer Isolated Amplifiers
Others
By Application
New Energy Vehicles Segment Drives Demand Due to Increasing EV Production Globally
The market is segmented based on application into:
New Energy Vehicles
Industrial Motor
Battery Management Systems
Onboard Chargers
Others
By Technology
Digital Isolated Amplifiers Gain Traction for Precision Measurement Requirements
The market is segmented based on technology into:
Analog Isolated Amplifiers
Digital Isolated Amplifiers
Hybrid Isolated Amplifiers
By Isolation Voltage
High Voltage Isolation Segment Expands with EV Battery Systems Requirements
The market is segmented based on isolation voltage into:
Below 2.5 kV
2.5 kV to 5 kV
Above 5 kV
Click to Access Your Free Sample Report-https://semiconductorinsight.com/download-sample-report/?product_id=97555
FREQUENTLY ASKED QUESTIONS:
What is the current market size of Global Automotive Isolated Amplifier Market?
-> Automotive Isolated Amplifier Market size was valued at US$ 345.6 million in 2024 and is projected to reach US$ 567.8 million by 2032, at a CAGR of 6.4% during the forecast period 2025-2032.
Which key companies operate in Global Automotive Isolated Amplifier Market?
-> Key players include Skyworks, ADI, TI, Broadcom, Toshiba, Renesas Electronics, ST, ROHM, among others.
What are the key growth drivers?
-> Key growth drivers include electric vehicle adoption (10.5 million global sales in 2022), automotive safety regulations, and increasing electronic content per vehicle.
Which region dominates the market?
-> Asia-Pacific holds 58% market share, with China accounting for 32% of global automotive production.
What are the emerging trends?
-> Emerging trends include wide-bandgap semiconductor integration, higher voltage isolation requirements for 800V EV architectures, and functional safety certifications.
About Semiconductor Insight:
Established in 2016, Semiconductor Insight specializes in providing comprehensive semiconductor industry research and analysis to support businesses in making well-informed decisions within this dynamic and fast-paced sector. From the beginning, we have been committed to delivering in-depth semiconductor market research, identifying key trends, opportunities, and challenges shaping the global semiconductor industry.
CONTACT US:City vista, 203A, Fountain Road, Ashoka Nagar, Kharadi, Pune, Maharashtra 411014
[+91 8087992013]
0 notes
Text
HCPL-3101 Optocoupler Gate Driver: A Comprehensive Guide
Introduction
The HCPL-3101 is a high-performance optocoupler gate driver designed to provide electrical isolation while efficiently driving power MOSFETs and IGBTs. Manufactured by Avago Technologies (now Broadcom), this component plays a critical role in high-power applications such as industrial motor control, inverters, and power supply systems.
In this article, we will explore the key features, working principles, specifications, and real-world applications of the HCPL-3101, along with a comparison to similar products and installation guidelines.
What is an Optocoupler Gate Driver?
An optocoupler gate driver is a semiconductor device that provides electrical isolation between a low-power control circuit and a high-power switching device. It achieves this by using an optical signal to transfer information between two electrically isolated sections. The HCPL-3101 is specifically designed to drive power transistors like MOSFETs and IGBTs, ensuring efficient switching and reduced noise interference.
Key Features of HCPL-3101
High Output Current: The HCPL-3101 delivers a peak output current of 0.4 A and a continuous output current of 0.1 A, making it well-suited for driving power MOSFETs and IGBTs.
High Common-Mode Rejection (CMR): With a minimum CMR of 1.5 kV/µs at VCM = 600 V, the device effectively suppresses noise, ensuring stable performance in electrically noisy environments.
Wide Operating Voltage Range: The device operates within a broad voltage range, enhancing its versatility in different applications.
High Isolation Voltage: Offering 5000V isolation, the HCPL-3101 prevents high voltages from damaging sensitive control electronics.
Fast Switching Speed: The optocoupler supports rapid switching, reducing power losses and improving efficiency in high-frequency applications.
How HCPL-3101 Works
The HCPL-3101 consists of an LED input stage and a photodetector output stage. When a voltage is applied to the input, the LED emits light, which is detected by the photodetector, triggering the output circuit. The isolation barrier between the input and output ensures that high voltages do not affect the control circuitry. This working principle makes optocoupler gate drivers essential for safely interfacing microcontrollers or logic circuits with high-power switching devices.
Electrical Characteristics
Input Forward Voltage (VF): Typically 1.5V at IF = 10 mA.
Output Voltage (VOH): Typically VCC - 0.2V at IO = -100 mA.
Propagation Delay Time: Typical tPHL (High to Low) is 0.3 µs, and tPLH (Low to High) is 0.5 µs.
Operating Temperature Range: -40°C to +85°C.
Storage Temperature Range: -55°C to +125°C.
Applications of HCPL-3101
The HCPL-3101 is widely used in various high-power electronics applications:
Isolated MOSFET/IGBT Gate Drive
Used in power converters and motor drives to provide isolation and efficient switching.
AC and DC Motor Drives
Ensures precise control of motor operations, improving efficiency and reducing energy consumption.
Industrial Inverters
Essential for industrial power systems that require high-efficiency DC-to-AC conversion.
Switch-Mode Power Supplies (SMPS)
Helps improve power efficiency in SMPS by reducing switching losses.
Renewable Energy Systems
Used in solar inverters and wind turbine control circuits to enhance power conversion efficiency.
Comparison with Similar Optocouplers
When selecting an optocoupler gate driver, it is important to compare it with similar products to determine the best fit for your application. Here is a comparison between the HCPL-3101 and two other common optocouplers:
Feature
HCPL-3101
HCPL-3120
TLP350
Output Current
0.4 A peak
2.0 A peak
1.5 A peak
CMR
1.5 kV/µs
10 kV/µs
10 kV/µs
Isolation Voltage
5000V
5000V
5000V
Switching Speed
0.3-0.5 µs
0.2-0.5 µs
0.2-0.4 µs
Applications
Low-power gate drive
High-power gate drive
Medium-power gate drive
Installation and Circuit Design Guidelines
To ensure proper operation and longevity of the HCPL-3101, follow these guidelines when incorporating it into a circuit:
Proper Power Supply Decoupling: Use a capacitor (typically 0.1 µF) close to the VCC pin to filter out noise.
Optimized PCB Layout: Minimize the length of high-current traces to reduce electromagnetic interference (EMI).
Gate Resistor Selection: Use an appropriate gate resistor (10Ω–100Ω) to control switching speed and reduce ringing.
Thermal Management: Ensure adequate ventilation and heat sinking in high-power applications to prevent overheating.
Common-Mode Noise Reduction: Use proper grounding techniques and shielded traces in high-noise environments.
Safety Considerations
When using the HCPL-3101 in high-voltage applications, take the following precautions:
Ensure that the isolation barrier is not compromised.
Follow proper grounding techniques to prevent electrical hazards.
Use appropriate insulation materials and PCB spacing to meet safety regulations.
Future Trends in Optocoupler Technology
With advancements in semiconductor technology, modern optocouplers are becoming more efficient and reliable. Some of the emerging trends include:
Integration with Intelligent Gate Drivers: Next-generation optocouplers may include smart diagnostic and protection features.
Higher Speed and Efficiency: Improved materials and designs are reducing propagation delay and power losses.
Miniaturization: More compact packages are being developed to save PCB space while maintaining high performance.
Enhanced Noise Immunity: New designs are improving resistance to electromagnetic interference.
Conclusion
The HCPL-3101 is a versatile and reliable optocoupler gate driver that provides essential electrical isolation and efficient switching for power MOSFETs and IGBTs. With its high output current, fast switching speed, and robust noise immunity, it is widely used in industrial motor drives, inverters, and power supply systems. By following best practices in circuit design and installation, engineers can maximize the performance and longevity of this critical component.
For purchasing options, the HCPL-3101 is available through various electronic component distributors, including Nikko Electronics, which has been a trusted supplier since 1983. For more detailed technical specifications, refer to the datasheet available online.
Whether you are designing a power converter, motor controller, or industrial automation system, the HCPL-3101 remains a valuable choice for reliable and efficient gate driving.
0 notes
Text
Optoelectronics, Isolation Components, Optocouplers, MOCD213R2M, Onsemi
SOIC8 SMT Dual Channel 70 V 2500 Vrms Phototransistor Optocoupler
#Optoelectronics#Isolation Components#Optocouplers#MOCD213R2M#Onsemi#optocoupler driver circuit#Isolation transformer audio#infrared transceiver#optocoupler sensor#optical isolator#what is an optocoupler#IR transceivers#optocoupler relay#photocoupler#opto-isolator#optical power#opto coupler
1 note
·
View note
Link
Find obsolete, discontinued, EOL, Last time Buys, Hard to find, and long lead time electronic products in stock/available. Immediate Price and Delivery.
Request A Quote Click Here
TYPES OF ELECTRONIC PRODUCTS
Audio ICs
Amplifier ICs
Chipsets
Clock & Timer ICs
Communication ICs
Networking ICs
Counter ICs
Data Converter ICs
Digital Potentiometer ICs
Driver ICs
Interface ICs
Integrated Circuits
Logic ICs
Microprocessors
Microcontrollers
Multimedia ICs
Power Management ICs
Programmable Logic ICs
Switch ICs
Semiconductors
Wireless ICs
RF Integrated Circuits
Memory ICs
Audio & Video Connectors
Automotive Connectors
Backplane Connectors
Board to Board Connectors
Card Edge Connectors
Circular Connectors
Connectors Obsolete
D-Sub Connectors
Ethernet Connectors
FFC/FPC Connectors
Fiber Optic Connectors
IEEE 1394 Connectors
I/O Connectors
Lightning Connectors
Memory Connectors
MIL-Spec / MIL-Type Connectors
Modular Connectors
Mezzanine Connectors
Photo-voltaic Connectors
Pin & Socket Connectors
Power Connectors
RJ45 Connectors
Solar Connectors
USB Connectors
Industrial semiconductors
Industrial Integrated Circuits
Industrial Capacitors
Industrial Connectors
Industrial Controllers
Industrial Counters
Industrial Relays
Industrial Solenoids
Industrial Sensors
Industrial Switches
Industrial Terminal Blocks
Industrial Timers
Industrial microprocessors
Industrial obsolete Parts
Industrial Components
Industrial Electronics
Backlighting Components
Electronic Visual Displays
Electronic Drivers
Fiber Optics
LED Emitters
LED Indication
LED Lighting
Optical Detectors and Sensors
Optical Switches
Optocouplers
Photocouplers
Flash memory
FPGA - Configuration Memory
FPGA - Field Programmable Gate Array
Managed NAND
Memory Controllers
Obsolete DRAM Memory
Memory IC Development Tools
Memory Cards
NVRAMs
NAND Flash
NOR Flash
Obsolete SRAM Memory
Simm
SO Dimm
Dimm
Transflash memory module
Memory Modules
Audio Transformers
Signal Transformers
Capacitors
EMI Filters
EMI Suppression
Encoders
Ferrites
Filters
Timing Devices
Potentiometers
Trimmers
Rheostats
Resistors
Thermistors/NTC
Thermistors/PTC
Varistors
Audio Sensors
Current Sensors
Environmental Sensors
Flow Sensors
Magnetic Sensors
Motion & Position Sensors
Optical Sensors
Pressure Sensors
Proximity Sensors
Temperature Sensors
MIL-STD-883
Mil Spec Resistors
Mil Spec Capacitors
Mil Spec Semiconductors
Mil Spec Integrated Circuits
Mil Spec Ics
Mil Spec Connectors
M39006 Series
M83733 Series
SNJ55 Series
SNJ54 Series
5962 Series
54F Series
MS3349 Series
5945-00 Series
MS310 Series
JAN/JANTX Series
JANTXV Series
JM38510 Series
285 notes
·
View notes
Text
Isolated Interfaces Market Size, Emerging Trends, Technological Advancements, and Business Strategies 2023-2029
The global Isolated Interfaces market was valued at US$ 321.6 million in 2022 and is projected to reach US$ 797.6 million by 2029, at a CAGR of 13.9% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Get Full Report @ https://semiconductorinsight.com/report/isolated-interfaces-market/
The isolated interfaces market refers to the segment of the technology industry that focuses on developing and providing isolated interface solutions. Isolated interfaces are specialized communication interfaces designed to ensure electrical isolation between different components or systems.
Electrical isolation is crucial in various applications, particularly in sectors such as industrial automation, telecommunications, medical devices, and power electronics. Isolated interfaces help protect sensitive electronic circuits from electrical noise, ground loops, voltage spikes, and other potential disturbances. They enable secure and reliable data transmission while maintaining safety and preventing damage to equipment.
The isolated interfaces market offers a range of products and solutions, including isolated gate drivers, isolators, optocouplers, digital isolators, magnetic isolators, and capacitive isolators. These devices are designed to provide high levels of isolation while facilitating communication between different components or systems.
The market for isolated interfaces has witnessed significant growth in recent years due to the increasing demand for reliable and secure data transmission in various industries. Factors driving this growth include the rising adoption of automation and digitalization, the need for improved safety and protection in critical applications, and the expanding use of electronic devices in healthcare and automotive sectors.
This report aims to provide a comprehensive presentation of the global market for Isolated Interfaces, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Isolated Interfaces.
This report contains market size and forecasts of Isolated Interfaces in global, including the following market information: Global Isolated Interfaces Market Revenue, 2018-2023, 2024-2029, ($ millions) Global Isolated Interfaces Market Sales, 2018-2023, 2024-2029, (K Units) Global top five Isolated Interfaces companies in 2022 (%)
Global key players of isolated interfaces include ADI, Texas Instruments, Infineon, etc. North America is the largest producer of isolated interfaces, holds a share about 30%, followed by China, and Europe. In terms of product, isolate RS-485 transceivers is the largest segment, with a share over 30%. And in terms of application, the largest segment is new energy vehicle, with a share over 45%.
Total Market by Segment: Global Isolated Interfaces Market, by Type, 2018-2023, 2024-2029 ($ Millions) & (K Units) Global Isolated Interfaces Market Segment Percentages, by Type, 2022 (%)
Isolate I2C
Isolate CAN Transceivers
Isolate RS-485 Transceivers
Others
Global Isolated Interfaces Market, by Application, 2018-2023, 2024-2029 ($ Millions) & (K Units) Global Isolated Interfaces Market Segment Percentages, by Application, 2022 (%)
Industrial Automation
New Energy Vehicle
Communication Base Station
Photovoltaic and Smart Grid
Others
Global Isolated Interfaces Market, by End User, 2018-2023, 2024-2029 ($ Millions) & (K Units) Global Isolated Interfaces Market Segment Percentages, by End User, 2022 (%)
OEMs (Original Equipment Manufacturers)
System Integrators
Maintenance, Repair, and Operations (MRO) Providers
Global Isolated Interfaces Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions) & (K Units)
North America:
North America represents a significant market for isolated interfaces.
The region benefits from a strong presence of technology companies and manufacturing facilities.
Key industries driving the demand for isolated interfaces include industrial automation, telecommunications, automotive, and healthcare.
The market is supported by a favorable regulatory environment and investments in research and development.
Europe:
Europe is a prominent market for isolated interfaces, with several major manufacturers operating in the region.
Industries such as manufacturing, energy, and automotive contribute to the demand for isolated interfaces.
The region places a strong emphasis on technological advancements and adherence to strict quality and safety standards.
Europe’s focus on sustainability and renewable energy also drives the adoption of isolated interfaces in related applications.
Asia Pacific:
The Asia Pacific region is witnessing rapid growth in the isolated interfaces market.
Countries like China, Japan, South Korea, and India are key contributors to market expansion.
Increasing industrialization, automation, and infrastructure development propel the demand for isolated interfaces.
The region’s thriving electronics and semiconductor industries also play a significant role in market growth.
Latin America:
Latin America presents a growing market for isolated interfaces, albeit at a comparatively slower pace.
The region’s industrial sectors, including manufacturing, energy, and telecommunications, contribute to the demand for isolated interfaces.
Investments in infrastructure development, coupled with the adoption of advanced technologies, drive market growth in this region.
Middle East and Africa:
The Middle East and Africa region exhibit a steady demand for isolated interfaces.
Industries such as oil and gas, power generation, and telecommunications contribute to market growth.
The region’s increasing focus on automation, renewable energy, and digitalization fosters the adoption of isolated interfaces.
Global Isolated Interfaces Market Segment Percentages, By Region and Country, 2022 (%)
North America
U.S.
Canada
Europe
U.K.
Germany
France
Spain
Rest of Europe
Asia-Pacific
India
Japan
China
Australia
South Korea
Rest of Asia-Pacific
Latin America
Brazil
Mexico
Rest of Latin America
The Middle East & Africa
South Africa
GCC Countries
Rest of the Middle East & Africa (ME&A)
Competitor Analysis The report also provides analysis of leading market participants including: Key companies Isolated Interfaces revenues in global market, 2018-2023 (Estimated), ($ millions) Key companies Isolated Interfaces revenues share in global market, 2022 (%) Key companies Isolated Interfaces sales in global market, 2018-2023 (Estimated), (K Units) Key companies Isolated Interfaces sales share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
ADI
Texas Instruments
Infineon
NXP Semiconductors
CHIPANALOG
NOVOSENSE
Renesas
NVE
2Pai Semiconductor
Silicon loT
ZLG
UTEK TECHNOLOGY
Analog Devices Inc.
Broadcom Inc.
STMicroelectronics
Maxim Integrated
Toshiba Electronic Devices & Storage Corporation
ROHM Semiconductor
Drivers:
Increasing Adoption of Automation: The growing trend of automation across industries such as manufacturing, energy, and healthcare fuels the demand for isolated interfaces. These interfaces enable secure and reliable communication between automated systems, ensuring efficient and safe operations.
Need for Electrical Noise Protection: In applications where electrical noise, ground loops, or voltage spikes can disrupt signal integrity, isolated interfaces provide a critical solution. Industries such as telecommunications, power electronics, and automotive rely on isolated interfaces to protect sensitive electronic circuits and ensure reliable data transmission.
Emphasis on Safety and Protection: Safety is a paramount concern in industries like medical devices, aerospace, and defense. Isolated interfaces play a crucial role in isolating potentially hazardous electrical signals, mitigating risks, and safeguarding both equipment and human operators.
Restraints:
Cost Considerations: Implementing isolated interfaces can involve additional costs compared to non-isolated alternatives. The higher manufacturing and material expenses associated with isolation technology can pose a restraint for price-sensitive applications or markets.
Design and Integration Challenges: Integrating isolated interfaces into existing systems or designing them into new products can present technical challenges. Ensuring compatibility, optimizing performance, and managing space constraints are factors that need to be carefully addressed during the design and integration process.
Opportunities:
Increasing Demand for IoT and Edge Computing: The growth of the Internet of Things (IoT) and edge computing presents opportunities for isolated interfaces. As more devices are interconnected, the need for secure and isolated communication channels becomes critical to protect sensitive data and ensure reliable connectivity.
Advancements in Industry 4.0: The ongoing development of Industry 4.0, including technologies like Industrial Internet of Things (IIoT), artificial intelligence, and machine learning, offers opportunities for isolated interfaces. These interfaces enable seamless and secure communication between interconnected devices, supporting the advancement of smart factories and digital transformation.
Expansion of Electric Vehicles (EVs) and Renewable Energy: The rising adoption of electric vehicles and renewable energy systems requires robust and reliable communication interfaces. Isolated interfaces facilitate the efficient transmission of data and power signals in EVs and renewable energy applications, opening avenues for growth in these sectors.
Key Questions:
What is the current size of the isolated interfaces market?
What is the projected growth rate of the isolated interfaces market?
What are the major challenges hindering market growth in the isolated interface segment?
What are the different types of isolated interfaces available in the market?
Which industries are the primary consumers of isolated interfaces?
What are the key geographic regions for the isolated interfaces market?
The global Isolated Interfaces market was valued at US$ 321.6 million in 2022
The global Isolated Interfaces market is projected to reach US$ 797.6 million by 2029, at a CAGR of 13.9% during the forecast period.
One major challenge faced by the isolated interfaces market is the high implementation and maintenance costs associated with isolated interface solutions. Furthermore, the complexity of integrating isolated interfaces into existing systems can be a barrier for adoption.
The isolated interfaces market offers various types of solutions, including optocouplers, digital isolators, and magnetic isolators. Each type has its own advantages and use cases, catering to different industry requirements.
Industries such as telecommunications, automotive, healthcare, aerospace, and industrial automation are the major consumers of isolated interfaces. These sectors rely on secure and reliable data communication and protection against electrical interference.
North America, Europe, and Asia Pacific are the key regions contributing to the growth of the isolated interfaces market. Among them, Asia Pacific is expected to witness the highest growth rate due to the increasing industrialization and adoption of automation in countries like China and India.
Get Full Report @ https://semiconductorinsight.com/report/isolated-interfaces-market/
0 notes
Text

Kind Regards
Can A Light Beam Its Speed 1.16 million km per second Be Found? (Revised)
or
or
or
Abstract
The paper provides 4 hypotheses with their explanations and proves – let's provide them in following
Paper hypotheses
Hypothesis No. (1)
The space is created from one energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space proves the speed is a fact.
Hypothesis No. (2)
The Gravitational Waves Are Produced By The Planets Motions Energies And Not By The Sun Gravitational Field– Moreover- The Sun Does NOT Produce A Gravitational Field And It Has No Massive Gravity-
Hypothesis No. (3)
Mars original orbit was between Mercury and Venus and Pluto was The Mercury Moon (Pluto size was equal Mercury size) But these two planets had migrated from their original orbits as a result for a collision- the planets migration caused a risk for the solar system geometrical design- Uranus and Jupiter the Two planets worked to repair the solar system design– that caused Jupiter orbit to be the main orbit in the solar system design- Jupiter orbit proves the speed 1.16 million km per second is a fact.
Hypothesis No. (4)
The Sun Is a phenomenon created by the planets motions
The sun rays is created from the gravitational waves motions energies and the gravitational waves are produced by the planets motions energies-
Based on that
The Sun Is A Phenomenon Created By The Planets Motions
And
The Sun Is NOT Doing Nuclear Fusion To Produce Its Rays- instead- The Planets Motions Energies Total Is Used To Produce The Sun Rays
The Sun Is Created After All Planets Creation And Motion – means
The Planets Are Created And Moving In Their Orbits Around A Point Of Space Before The Sun Creation- And The Sun Is Created On This Point Of Space around which the planets revolve - And
No Planet moves by The Sun Gravity (Newton is Wrong) - And
The Sun Doesn't Produce A Gravitational Field (Einstein Is Wrong)
And
The Sun Is A Phenomenon Created By The Planets Motions– means-The Sun creation and death depends on a cycle – means – after this current sun death another sun will be created for the solar system.
The Hypotheses Explanation
The abstract provides the hypotheses explanation and the paper provides their proves and discussions- In following the hypotheses will be explained in details
NOTICE - The creatures and all matters on the Earth are created from the sun light energy and the sun light speed is 300000 km/s, because of that, the creature realization is limited to the speed 300000 km/s and can't realize the original speed (1.16 million km per second) that means the speed 300000 km/s is a limit for the creatures realization and not for the universe design.
Notice- this revised version adds only more proves for the paper first hypothesis-
Hypothesis No. (1)
The space is created from an energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space which proves the speed is a fact
The Hypothesis Explanation
I- The Space Is Created By One Light Beam Energy- And This Light Beam Speed Is 1.16 million km per second
I-1 Preface (the main idea)
I-2 The Space Creation Method (the distances are one network)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
I-4 The Matter definition (based on my planet diameter equation)
I-5 The Planets Creation
I-6 Can The Time Machine Be A Fact?
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time
I-16 Mercury Orbit Analysis
I-1 Preface (The Main Idea)
The solar system (planets and distances) is created from one energy and this energy is provided by one light beam and this light beam moves by speed (1.16 million km/s)
The space is created before the planets creation-
Let's write the whole story in following
The light beam (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto orbit– by that– we consider Mercury orbit is the origin point-
Now- we should notice- No planet is created yet- the motion from Mercury orbit to Pluto orbit defines the motion direction- and No planet is created before this motion end nor during this motion- the planets will be created after this motion is finished means when the light 1.16 million km per second reaches to Pluto (orbit)- after this event – the planets will be created –as I will explain later
Notice
The light (1.16 million km per second) creates the distances by its motion- means- the light moves from Mercury point to Venus point– the distance from Mercury to Venus was not found and is created only by the light motion through it for first time- means – before the light motion this distance was NOT found- It's found after the light moves through this distance for first time-
This is similar to the blood motion through the arteries, the blood creates these arteries and the blood moves through these arteries, but the blood created these arteries with its first motion and that needed energy- but – after the arteries creation the blood move through them without any energy is required- means- the first motion is the most important one because by it the arteries are created
Shortly- The space is created from the energy of this light beam its speed 1.16 million km per second – NOW- after the Space creation- the light beam energy is decreased because of the energy consumption in the space creation process- and the rest energy is one light beam its speed is (C=300000 km/s =the light known speed) – But - We understand that- it's the same one light beam- its speed was 1.16 million km /s before the space creation- and the light created the space and that caused to consume the light energy and that caused to decrease the light speed to be 300000 km/s
Shortly- the light beam started its motion from Mercury (orbit) with speed 1.16 million km /s and reaches to Pluto (orbit) with a speed 300000 km/s because of the energy consumption in the space creation process
Let's give example to explain this idea
Imagine we create A Sea Of Water- we use energy to create this sea of water- now we have some energy and we use this energy to create this sea of water- BUT- our energy is NOT spent completely But there's a small part still rest with us – this small part of energy is used to create one wave moves through this sea and this wave speed is 300000 km/s (I suppose the space is similar to the sea of water)
Now – the rest energy is found in one light beam its speed 300000 km/s and this light beam is found NOW in Pluto Orbit – and this light beam will be reflected from Pluto orbit toward the inner planets– means- the rest energy will move in the reflected direction to the original light motion direction.
This idea will be explained in details in the next point- shortly
The light beam (300000 km/s) will be reflected from Pluto toward the inner planets
AND the light 300000 km/s will meet the original light beam (1.16 million km per second) in the origin point (in fact – beside the origin point) and there's a coherence of light is done between the light beam (300000 km/s) and the light beam (1.16 million km per second) – this coherence of light is proved strongly- we have to ask (how can that be possible while the light beam 1.16 million km /s is consumed and the new light beam 300000 km/s is the rest energy? how this light beam (300000 km/s) can meet the original one (1.16 million km per second)? in points no. (I-3) and no.(I-6) I answer this question.
Notice (1) I suppose the rest energy is a light beam its speed is (C=300000 km/s) but this idea is for simplicity- the rest energy can be in any wave form its speed (C=300000 km/s) – no necessity to be in visible light beam form
It's simply energy moves by the known speed of light (C=300000 km/s)
Notice (2)
All Planets Orbits Are Defined Before Any Planet Creation-
The light used the distance from the sun to Pluto as one area and create one geometrical design for this area before any planet creation
Notice (3)
The planets are created from the rest energy its speed (300000 km/s) – means- the space is created by the light 1.16 million km per second and the energy is consumed in the space creation and the rest energy is one light beam its speed 300000 km/s (or one wave moves by the known speed of light C=300000 km/s) – the solar planets are created from this one wave its speed 300000 km/s and that means all planets orbit are created and defined before any planet creation
Notice (4)
The Sun Is Created After All Planets Creations And Motions
The sun is a phenomenon created by the planets motions energies total
The sun doesn't produce a gravitational field and doesn't have massive gravity
Logically – No planet moves by the sun gravity
(The Planet Moves With The Energy From Which The Planet Is Created – Newton is wrong- later we discuss the proves)
Notice (5)
The child (fetus) inside his mother is created by the blood motion- the blood motion creates arteries for this child and through these arteries the blood moves also but the arteries themselves are created by this same blood motion- Similar to that- the distances are created by the light motion energy and the light moves through these distances also but originally these distances themselves are created by the light motion energy- means the distances creation is done with the first time of the light motion through them - that required energy- but after the distances are created no more energy is required- the light (or planet) can pass simply through these distances
I-2 The Space Creation Method (the distances are one network)
Data
778.6 = 1.16 x 671
721 = 1.16 x 621
629 = 1.16 x 543
543 = 1.16 x 468
5906 = 1.16 x 5127
These numbers are distances in (million km)
778.6, 721, 671, 629, 551 are Jupiter distances to the sun, Mercury, Venus, Earth and Mars respectively- 5906 and 5127 Pluto distances to the sun and Jupiter respectively
468 = 936 /2 where (940 million km = the Earth orbital circumference)
Discussion
(1)
The previous data tells us how the light beam motion creates the distances-
Simply the light uses a distance as (a period of time) and travels through this period another distance- that can be understood clearly from Jupiter distances- let's look deeply as possible
The light beam (1.16 million km per second) uses the period 629 seconds to pass a new distance = 729 million km (Mercury Jupiter distance is 721 million km error 1%) – where 629 million km = Jupiter Earth distance
Also
The light beam (1.16 million km per second) uses the period 671 seconds to pas a new distance =778.6 million km (Jupiter orbital distance)
where 671 million km = Jupiter Venus distance
by this method the light creates the distances based on each other- and that makes all distances to be created depends on one another and that makes all distances in the solar system to be One Network where all distances are created based on the same One Geometrical Design
(2)
The data shows the creation method- and we understand that- the distance 551 million km (Jupiter Mars Distance) is created firstly and the light (1.16 mkm/s) used this distance as a period of time (551 sec) and the light travels during this period a distance =(639 million km where 629 million km is Jupiter Earth distance error 1.5%) and then the light uses the new distance (629 mkm) as a period of time (629 sec) and the light travels during this period a distance = (729 million km – where 721 million km = Mercury Jupiter distance – error 1%)
The data shows the method clearly and we understand the light original motion started from Mercury orbit to Pluto orbit because the distances are created based on one another in that direction of motion as explained clearly
(3)
New data NO. (1)
2723 sec x 2 x 300000 km/s = 1622 million km – where
2723 million km = Uranus Earth Distance
1622 million km = Uranus Neptune Distance
The data shows- the light beam its speed (C=300000 km/s) is in proportionality also with the created distances but this proportionally is found in Reflected Direction
Logically, The light can NOT move from Uranus to Neptune and after that the light returns to move from Uranus to the Earth- it's simply reflected direction
The distances are NOT created by the motion of this light beam (300000 km/s) – but the distances are created by the motion of the original light beam (1.16 million km per second) but the proportionality between the distances with the light (300000 km/s) is found because there's a proportionality between the original one (1.16 million km per second) and this light beam (300000 km/s) – AND
Because the light (300000 km/s) moves in the reflected direction of the original light beam (1.16 million km per second) that causes the proportionality between the distances and the light (300000 km/s) be in a reflected form
New data NO. (2)
2094 sec x 300000 km/s = 629 million km
2094 million km = Uranus Jupiter distance
629 million km = Earth Jupiter distance
The light (300000 km/s) moves in reflected direction- for that- the distance 2094 million km is used as a period of time to pass a new distance (629 mkm)
The data proves the idea clearly
Notice (1)
The proportionality between the light (1.16 million km/s) and the light (300000km/s) will be discussed in point no. (I-3)
Notice (2)
In Point (**) I prove the gravitational waves are produced by the planets motions energies- and I prove that – the planets motions energies move toward Pluto and this energy is reflected from Pluto toward Venus- this fact is proved by powerful data and proves- for that – I don't explain in details the light motion trajectory from Pluto toward the inner planets because this motion trajectory is studied in details in the hypothesis No. (2) of this discussion- understandable that- the planets motions energy trajectory is the same trajectory the light moves through it – means this trajectory is studied in details and powerful proves in point no. (**)
Notice (3)
Jupiter Distances Analysis shows that Jupiter orbit is the central orbit for the light (1.16 million km per second) based on which all planets orbits are defined.
But – this is not the first creation case –
The light (1.16 million km per second) created the planets orbits based on each other starting from Mercury orbit moves toward Pluto orbit – this is the fist creation case – and this fact is proved strongly in point no. (I-9*)
BUT
Mars had migrated from its original orbit (Mars original orbit was between Mercury and Venus) and Pluto had migrated also (Pluto Was The Mercury Moon revolves around Mercury and Pluto size was equal Mercury size)
The planets migration caused a serious risk for the solar system geometrical design- Uranus was the first planet tried to repair the solar system geometrical design and to save it- by that
Uranus created a vertical effect on Jupiter orbit to fix Jupiter in its orbit and prevent it to migrate with the migrant planets- and based on Jupiter orbit the other planets orbits are modified – that supported the solar system original design and saved it which causes to protect the geometrical design from the destruction.
As a result
That causes Jupiter orbit to be the most important orbit in the solar system- the paper third hypothesis explains the planets migration and Jupiter orbit analysis is done with the solar system design analysis (I-11*)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
(1)
The Coherence Of Light
The previous explanation told us that we have 2 light beams-
The original light beam its speed (1.16 million km per second) and it started its motion from Mercury orbit to Pluto orbit (where Mercury orbit is the light motion origin point) – and this light beam created all distances in the solar system and lost its energy in the space creation process and the rest energy is one light beam its speed is (C=300000 km/s)
The other light beam is the rest energy- its speed is (C=300000 km/s) and it moves in a reflected direction from Pluto toward Venus and Mercury-
Now – we have a coherence of light between these two light beams- the coherence is proved by powerful proves BUT firstly we have to ask (how can this coherence be occurred)? Because the original light (1.16 million km/s) is consumed and its energy is used already and the rest energy is this light its speed is (300000 km/s) - HOW can the light (1.16 million km/s) meet the light (300000 km/s)??
Imagine we have (116 dollars) and we spent all money except (30 dollars)- how can this (30 dollars) meet the original money (116 dollars)??
Let's write the answer
Suppose the light beam (300000 km/s) moves in the reflected direction (in the space) and also (in the time) – that can enable the light (300000 km/s) to meet the original one (1.16 million km/s) in the past and the coherence will be done there in the past- and we see the coherence results and effects on the solar system -
Means – the light (300000 km/s) moves into the past and found the original light (1.16 million km/s) in the past
Notice No. (1)
The original light beam (1.16 million km/s) can NOT move toward the future to meet the light (300000 km/s) because in the future the original light beam (1.16 million km/s) is NOT found –by that – the coherence can't be occurred in the future - But – the light (300000 km/s) can move into the past because this light beam (300000 km/s) was found in the past because it's a part of the original light beam (1.16 million km/s)
Notice no. (2)
I prove the coherence is done by powerful proves- that tells- this idea is a fact–means- there's a strong proof tells (in fact the light beam 300000 km/s moved into the past) and if we can use this feature practically we can get photos from the past events and by that we can have photos from the catastrophe which killed the dinosaurs and know much better about what had happened really in that time - This can be a real machine of time – the light motion into the past is a strong method to perform this invention.
Notice no. (3)
Why Can NOT We Move Into The Past As We Move Into The Future?
This question is answered in point no. (**)
(2)
The Light Coherence Proves
First Proof
The planets order is typical to the interference of Young –
In the double slits experiment, Young Interference is consisted of bright fringes and dark fringes - If we consider planet diameter is equivalent to bright fringe – we will see that- the planets order is typically to Young interference because
Jupiter (the greatest fringe) is in the middle and the fringes width is decreased gradually on both sides – typically to the planets order
Notice / I have proved that (Mars original orbit was between Mercury and Venus) if we restore Mars to its original orbit the order will be typical to the Young Interference
(I prove this fact in point no. **)
Second Proof
The planets velocities are defined based on the speed (1.16 million km per second) and the planets velocities analysis shows the speed (300000 km/s) is the planets motions limit- means- the planets velocities are defined based on both velocities (1.16 million km per second) and (300000 km/s) I prove this fact in point No. (**)
Third Proof
The light coherence defines the solar day period (24 hours) which is the solar system design cornerstone
(1.16 /0.3) x 2π = 24.3
By this equation the space and time are created- the equation tells–the space is created in curves (2π) and the time is created in units each unit is (24 hours)
Please note – the solar system geometrical design depends on the light motion in a solar day (24 hours = 86400 seconds)
The light (1.16 million km per second) moves in a solar day (86400 seconds) a distance = 100733 million km (= the planets orbital circumferences total)
Fourth Proof
The planets data prove there's a speed (1.16 million km per second) found in the solar system but the sun light beam moves by speed (300000 km/s) that tells the two speeds are facts and found in the solar system and the coherence between them is a logical result
The hypothesis proves discuss many powerful proves for this fact-
Notice- the coherence of light is a very important fact because it tells the light (300000 km/s) moved into the past and by that gives us a proof for the motion on the time axis- for that – many powerful proves support this fact.
I-4 The Matter definition (Based On My Planet Diameter Equation)
(1)
Let's remember my planet diameter equation
Planet Diameter Equation (v1/v2)= (s/r)= I
v = Planet Velocity
r = Planet Diameter
s= Planet Rotation Periods Number In Its Orbital Period
I= Planet Orbital Inclination (example, 1.8 degrees be produced as a rate 1.8)
v2, s, r and I are belonged to one planet and v1 is belonged to another planet
The planet (v1) is defined by test the minimum error
Earth Equation uses Neptune velocity
Mars Equation uses Pluto velocity
Jupiter Equation uses the Earth moon velocity
Saturn Equation uses Mars velocity
Uranus Equation uses Neptune velocity (As Earth)
Neptune Equation uses Saturn velocity
Pluto Equation uses the Earth moon velocity (As Jupiter)
(The Equation works from The Earth To Pluto) (the discussion explains the reason)
Example
Neptune Equation (89143 /49528) = 9.7/ 5.4 =1.8
89143 = Neptune rotation periods number in Neptune orbital period
49528 km = Neptune diameter
9.7 km/s = Saturn velocity
5.4 km/s = Neptune velocity
59800 days = Neptune orbital period (and Neptune rotation period =16.1 hours)
1.8 degrees = Neptune Orbital Inclination
(the equation is proved and discussed in details in point no. **)
(2)
Can We Define The Matter Nature Based On My Planet Diameter Equation?
The equation tells, the matter is created based on its motion! means Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s!!
That tells the motion with velocity 5.4 km/s is defined before Neptune diameter is created! Can we understand such definition for the matter nature? let's try
(A)
The Matter Nature
The space and matter are created from the same original energy and they move with this original energy motion- BUT the matter has a distinguish picture and different velocity from the space picture and velocity (notice- The Gravitational Waves Prove That The Space Has A Motion)
If we suppose the space is similar to the sea of water, the matter be similar to a whirlpool or a vortex found on the sea page- means- the matter is a geometrical design has a distinguish picture from the space- as the whirlpool, it's created from the sea water but it has a distinguish picture from the sea waves picture
Means
The whirlpool is carried by the waves motion- and- the matter is carried by its original energy and moves with it- No Mass gravity is required for the matter motion- means- the matter is MOVABLE by nature.
Also
The whirlpool dimensions are defined by the water motion - for example- we have a whirlpool its diameter is (2 meters)- this diameter is defined by the sea water motion features (velocity, pressure and other motion features) by that- the water motion analysis explains how the whirlpool dimensions are created
Also- the whirlpool is created but the creation requirements are needed every day- means- even if this whirlpool is found since years it can be changed immediately if the water motion features are changed- means- the whirlpool creation process is NOT a historical one.
Also- the matter is similar to a creature muscle, the muscle is found based on the blood motion and without this motion the muscle can be changed or removed.
Shortly
The Original Energy Was Found In Motion By Itself (As Moving Light Beam)
From This Moving Energy The Planet Matter Is Created
The Created matter dimensions are defined by the features of this original energy motion (means the planet creation data is defined by the energy motion features)
After the planet creation- The Planet Moves With This Original Energy – means- the created planet moves a motion depending on the motion of this original energy because the planet moves with this original energy motion- and – the planet moves by this original energy motion (No mass gravity is required to cause the matter motion)
The planet creation data is in full harmony with its motion features- this fact is produced logically because the planet data is defined by the original energy motion features.
This explanation tells (Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s)
Example For Explanation
We agreed that the space is similar to the sea of water and the planet (matter) is similar to a whirlpool found on the sea page- this picture explains the idea clearly- because
We see the whirlpool doesn't move by the sea water waves velocity but by another velocity and that shows a distinguish in form and motion between the whirlpool (the planet) and the sea waves (the space)- BUT- the whirlpool dimensions are defined based on the sea water motion features- and if the motion features are changed the whirlpool dimensions will be changed also- also the whirlpool moves by the sea water motion even with a different velocity relative to the sea waves velocity but the whirlpool motion still is caused by the sea water motion- based on this picture we can say (because the water motion velocity is 80 km/h that causes this whirlpool diameter to be 2 meters "for example') – this is perfectly our sentence – let's remember it
(because Neptune velocity is 5.4 km/s that causes Neptune diameter to be 49528 km)
This idea is proved by my planet diameter equation (my fourth equation) (point No.**)
(B)
Now The velocity is a motion in (A Defined Direction)
Means– the matter is created because it depends on a motion in a defined direction- as we have seen- Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s but this velocity is a motion in defined direction- and that tells Neptune creation depends on a motion in the direction of the (x axis positive "+x ") (for example)
That tells, if this motion moves in (x axis negative "-x ") that will cause Neptune diameter to be changed or perished
Means- the matter creation needs a motion in A Defined Direction
Now let's ask our question
Why Can't The matter (creature) Moves Toward Its Past?
Because the matter depends on a motion in one defined direction- that causes the matter moves into (the future) always and can't move into (the past) let's discuss this question more deeply in point no (I-6)
Notice
No Planet Moves By The Sun Gravity (Newton is wrong) – logically because- the planet moves by its creation force- means- the planet creation and motion should be done by one force only (one energy only) because if two forces have effects on the same one planet- this planet will be broken- this fact is proved strongly with the gravitational waves source discussion (Point no.**)
I-5 The Planets Creation
I summarize the main idea in following and the idea proves and discussions are found in point no. (**)
(i)
We know, the solar system is created from energy of one light beam its speed is 1.16 million km per second- and – the light created the space (the planets orbits) firstly and the energy is consumed in the space creation- and for that- the rest energy is found in one light beam its speed is 300000 km/s - And
From this light beam 300000 km/s the solar planets are created
Shortly
before the solar planets creation
The solar system was one light beam (or one wave moves by speed of light (300000 km/s)- by that – the solar system is One Wave moves by speed of light (300000 km/s)
Now
The Solar System needs To Create A Stationary Point Its velocity Zero relative to the moving one wave (300000 km/s)
This is the basic information in the solar system design-
The solar system needs to create a stationary point relative to the wave motion- by that – two velocities will be found which are (v1= the wave its speed 300000 km/s) and (v2= Zero= the stationary point velocity relative to the wave motion)–these two velocities produce a relative motion with different velocity 300000 km/s– this relative motion is the solar system design cornerstone.
Shortly – the solar system needs to create A Stationary Point
Notice– The solar system is carried by the light beam motion, NO stationary point can be found here – it's similar to a ship on the sea water- Nothing can stop- because the motion is done forcedly by the sea water –
The stationary point will be similar to the whirlpool (vortex) on the sea page- BUT
The solar system needs to create this stationary point - Now – let's try to create this stationary point in following - The solar system uses two procedures to do that,
(ii)
The first procedure
The wave its velocity 300000 km/s revolves around a point in space (any point in space), the revolution motion creates 2 equal velocities on both sides of the revolution- the two velocities are equal in value and opposite in direction- their total be equal Zero-means- the revolution motion creates A Stationary Point in the center of the revolution.
The second procedure
The previous idea is correct- but –the velocity 300000 km/s is a huge one and to decrease it to Zero velocity this is a complex process– for that- the wave (300000 km/s) created small waves with low velocities to use them as steps to decrease the velocity to Zero- the small waves are The Planets- (The planet is a small wave moves by low velocity relative to the original wave its velocity 300000 km/s)
Why Are These Small Waves Required?
Because the velocity 300000 km/s is decreased to Zero by using these small waves and their low velocities- the low velocities are used as steps to decrease the unified wave velocity (300000 km/s) to be (Zero)- this process decreases the velocity gradually from 300000 km/s to Zero depending on these small waves velocities (the planets velocities)
Means- the planets are created for this process to decrease the wave velocity from 300000 km/s to Zero- and The Planet Is A Small Wave Moves By Low Velocity
Shortly – the solar system has one complete system of velocities, Starting from Zero to 300000 km/s where the planets velocities are the steps between the two velocities – let's prove that here
(iii)
300000 km = 7.1 x (205.8)^2 where
7.1 is Lorentz length contraction effect for speed 297000 km/s (99% of speed of light)
205.8 km/s = the 9 planets velocities total (176 km/s) + the Earth moon velocity
(The moon velocity =29.8 km/s = the Earth velocity because they revolve together)
Why does the data use the squared value (205.8)^2?
We know the answer- but - Let's remember it
The planets are geometrical points on the same light beam and move with its motion- for that- the planets velocities rates creates rates of time– for example- Mercury velocity = 1.6 the Earth velocity- that means – one hour of Mercury clock = 1.6 hours of the Earth clock- Why??
Because Mercury and the Earth are carried by the same one light beam- the light moves one motion and passes one distance in one period of time- by that Mercury and the Earth have to move this same motion and to pass this same distance in this same period of time- but the two planets velocities are different- for that- the planets use different rates of time based on their velocities rates and by that the planets move equal distances in the same period of time –
Now- the velocity (205.8 km/s) moves relative to the stationary point (Zero) and creates a rate of time (1 second = 205.8 seconds) –
(one second of the unified wave clock = 205.8 seconds of the stationary point clock)
But – the energy is reflected in the solar system (I prove that in point no.**),
The energy reflection reflects the players – means
(one second of the stationary point clock = 205.8 seconds of the unified wave clock)
The stationary point will be THE SUN – by that
(one second of the sun clock = 205.8 seconds of the unified wave clock) – means
(one second of the sun clock = 205.8 seconds of any planet clock) –
Now during one second of the sun clock, the wave clock needs 205.8 seconds while the wave moves by a velocity 205.8 km/s- means –
During one second of the sun clock, the wave moves 42253 km = 300000 km /7.1
That creates the different velocity 300000 km/s between the sun motion and the wave motion-
Notice 1
The wave (205.8 km/s) moves during 1461 seconds a distance = 300000 km, and we know the Earth cycle (1461 days = 365 +365 +365 +366)
That tells, the speed of light (300000 km/s) is performed by the rate of time and that causes to create the Earth cycle-
Notice 2
Planet velocity is created by the rate of time- means- if no rate of time can be used – No planet velocity can be created – instead- all motions will be only by speed of light (300000 km/s)- the planet can create a small velocity because it can use rate of time
We realize that clearly because
The planets motions depend on the light motion- by that – the motion is done by One Motor only which moves by speed of light (300000 km/s), the planets can only move by speed of light or create a rate of time for their smaller velocities - No more options are provided.
Notice 3
We understand that, the planets are geometrical points on the same light beam, means
The planets are similar to carriages in one train and the light motion is the train engine means the planets are carried on the light beam and move with this light motion
I-6 Can The Time Machine Be A Fact?
To answer this question we need to review basics facts we have studied – let's do that in following
(1)
The solar system is created from one energy and this energy is provided by one light beam
(2)
The light moves simply and freely in any direction (for space) and (for time)- means- the light can move into the future (as matter does) or into the past (which the matter can Not do)
(3)
We know, the solar system is created from one light beam, and this light moves by a speed (1.16 million km per second) - And
We know, the light (1.16 million km per second) created the planets orbits firstly before any planet creation and the energy is consumed in the space creation and because of the energy consumption the light speed is decreased from (1.16 million km per second) to the known speed of light 300000 km/s – also
We know, the light (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto- that means- the light (1.16 million km per second) started from Mercury orbit with speed (1.16 million km per second) and the light created all planets orbits till Pluto orbit- before any planet creation- and by that- the light lost its energy and the light beam in Pluto orbit reduced its speed to be 300000 km/s as a result for the energy consumption in the space creation process
(4)
Also we know the energy is reflected from Pluto toward Venus (the inner planets)
By that the light beam (300000 km/s) moves in the reflected direction to the original light beam (its speed 1.16 million km per second)
And – we know-
The light beam (300000 km/s) reaches to the original point (Mercury Orbit) from which the light (1.16 million km per second) started its motion
And we know that
A coherence of light is done between the original light beam (1.16 million km per second) and the light beam (300000 km/s)
BUT we don't know how such coherence can be occurred? Let's analyze that deeply in following
(5)
The produced light beam (300000 km/s) moves in (the reflected direction) to the direction of the original light beam (1.16 million km per second) (In Space) and reaches to Mercury orbit (the origin point)
But– logically – the produced light beam (300000 km/s) can NOT find the original light beam (1.16 million km per second) there because the original light beam is consumed already in the space creation process and the rest energy is this produced light beam (300000 km/s) – based on that –
How Can This Coherence Be Occurred? Means-
How can the produced light beam (300000 km/s) meet the original light beam (1.16 million km per second)? The answer is
The produced light beam (300000 km/s) moves (in the reflected direction) to the motion direction of the original light beam (1.16 million km per second) (In Space) and (In Time) Means- the produced light beam moves into (Its Own Past) and in the past this produced light beam (300000 km/s) was (A Part of the original light beam 1.16 million km per second) and because of that the produced light beam (300000 km/s) can meet the original light beam (1.16 million km per second),
And
The two light beams create a coherence (in the past) and we see the results of this coherence in our present time-
The idea is very important because – the coherence of the two light beams (1.16 mkm/s and 0.3 mkm/s) is proved strongly and with powerful proves and any explanation for this coherence will prove that the produced light beam (300000 km/s) must move Into The Past to enable this coherence occurrence- and that tells clearly- the travel through the time is possible and fact
BUT
Can the matter moves into its past as the light does? NO
Why?? Because
We know the light can move simply in any direction (+ x, + y, + z, + t) by that the light can move into the future and can move into the past BUT
The matter creation depends on A Motion In A Defined Direction-
let's remember this idea
Neptune diameter =49528 km because Neptune velocity is 5.4 km/s
(This Fact Is Proved By My Planet Diameter Equation)
Now, Neptune velocity is a motion in a defined direction
(for example a motion in +x direction)
The energy moves in this direction (+x direction) and because of this motion Neptune matter is created and Neptune diameter is defined- now if the energy moves in (opposite direction "–x direction") that will change Neptune diameter or cause to perish its matter at all
Means- as long as – Neptune is found- that means – the energy moves in one direction (and not two directions) – for that Neptune can move into the future but can NOT move into the past.
Notice
The matter can not move into the past but the light can do that-
Means- we have the time machine already- we need to know how to send the light into the past and by that we can have photos from the past events- and this will be The Time Machine
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time?
I-16 Mercury Orbit Analysis
I-7 The Proves Logic Analysis
Why can we prove that, a light beam its speed 1.16 million km per second is found in the solar system? also, the theory tells this light beam energy is consumed and the rest energy is found in one light beam its speed 300000 km/s (the known speed of light), if this light energy is consumed, how can we prove its existence?
There are two major reasons, which are
The Planets Orbits Are Created Before Any Planet Creation- And These Orbits Are Created Based On One Motion- And This One Motion Is Done By A Speed 1.16 Million Km Per Second.
The Planets Matters Are Created Based On Their Orbits – means- the planet is similar to a tree and the orbit is similar to a ground and the tree is planted in the ground-
NOTICE
after the planet creation, the planet can migrate from its original orbit to any other orbit - as Mars and Pluto did and that will not cause to destroy the planet.
Shortly-
the planet matter and data is created based on this planet orbit- the orbit is defined before any planet creation and based on the orbit the planet matter and data is created (we remember- the space is similar to the sea of water and the planet matter is similar to a whirlpool found on this sea page- that tells the whirlpool is created based on its place in the sea of water)
Shortly- The Planet Matter Is Created Depends On This Planet Orbit
The speed 1.16 million km per second is registered in the planets orbits because the orbits are created from the energy of the light beam (1.16 million km per second), and the planet matter is created from this planet orbit (energy)
Shortly
The light beam (1.16 million km per second) is the source of energy for (everything) in the solar system-
All orbits are defined by its energy, all matters are created by its energy, and all motions are done by its motion-
Can we prove this light beam is a fact? YES we can
The analysis for any data or any motion will discover this light beam because it's the source of energy for everything
Shortly
the light beam (1.16 million km per second) is The Source Energy of the solar system
The mother of all children can be discovered by analysis these children data
A QUESTION
Can the solar system design uses a rate 1.16 and I can't understand that but wrongly consider this rate (1.16) as a speed of light 1.16 million km per second?
NO- this can't be possible – Because
The light beam (1.16 million km per second) behaves typically to the known light beam (300000 km/s) – as we will see in the data discussion
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
DATA
My 5th equation (v1v2=322)- the planets velocities prove it–let's see that in following
322 = 47.4 km/s (Mercury velocities) x 6.8 km/s (Uranus velocities)
322 = 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2
322 = 29.8 km/s (the Earth velocity) x 5.4 km/s (Neptune velocities) x 2
322 = 24.1 km/s (Mars velocity) x 13.1 km/s (Jupiter velocity)
322 = (17.9 km/s)^2 (Ceres velocity) (Max error 2%)
DATA ANALYSIS
The previous data tells the planets velocities are defined by three features
(1st Feature)
The planets velocities are complementary one another –means - each planet velocity is complementary with another planet velocity– means– The planets velocities are defined in pairs and not in single planets.
(Notice, the inner planets orbital inclinations are defined by the rule (v1/v2), for example, Mercury orbital inclination 7 deg = Mercury velocity 47.4/ Uranus velocity 6.8 that proves the effect of the rule (v1v2=322) on the planet motion)
Ceres velocity tells the idea - Ceres is used as the main point - as a result the outer planets be complementary with the inner planets – for that the rule (v1v2=322) controls the planets velocities- that means- The planets velocities are created based on One Design- Ceres velocity is used as the main point for this design
(2nd Feature)
Why the constant is 322? because 1160000 seconds = 322 hours – means- there's speed of light = 1.16 million km /s - Shortly
Mercury (47.4 km/s) moves during 6.8 hours a distance = 1160000 km
Uranus (6.8 km/s) moves during 47.4 hours a distance = 1160000 km And
Venus (35 km/s) moves during 2 x 4.7 hours a distance = 1160000 km
Pluto (4.7 km/s) moves during 2 x 35 hours a distance = 1160000 km
Earth (29.8 km/s) moves during 2 x 5.4 hours a distance = 1160000 km
Neptune (5.4 km/s) moves during 2 x 29.8 hours a distance = 1160000 km And
Mars (24.1 km/s) moves during 13.1 hours a distance = 1160000 km
Jupiter (13.1 km/s) moves during 24.1 hours a distance = 1160000 km And
(Notice - Saturn (9.7 km/s) moves during 33.2 hours a distance = 1160000 km - (between 33.2 and Venus velocity 35 km/s the error 5%)) (Data Max error 2%)
The Data Proves, The Planets Velocities Are Functions In The Speed 1.16 Million Km Per Second. That proves the speed (1.16 million km per second) is A Fact
(notice the planets velocities are complementary one another also based on the known speed of light 300000 km/s, the paper provides this data)
(3rd Feature)
The planets velocities limit depend on the known speed of light 300000 km/s
Let's explain that in following
The 9 planets velocities total is 176 km/s (I add the Earth moon velocity 29.8 km/s)
The 10 planets velocities total is 205.8 km/s
300000 km = 7.1 x (205.8)^2
The speed 297000 km/s (99% speed of light) causes Lorentz length contraction effect with the rate 7.1
The velocity (205.8 km/s) moves during 205.8 seconds a distance 42253 km
Where 300000 = 7.1 x 42253 km BUT 42253 = (205.8)^2
The squared value (205.8)^2 is found because of the used rate of time
We have studied this equation in point (I-5**) -the data shows, the planets velocities are defined as parts of a complete system of velocities starts from (Zero = stationary point) and reaches to the speed of light 300000 km/s and between these two values the planets velocities are defined to support this same system- that tells- the planets velocities are defined with limit to the speed of light (300000 km/s) - The data proves the speed (1.16 million km per second) is a fact -and also the data proves the coherence is done between the light (1.16 million km per second) and the light (300000 km/s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
(1) Mercury Motion
During 310s light its speed (1.16 million km per second) travels 360 million km
During 310 s light known speed (300000 km/s) travels 93.1 million km
BUT
93.1 million km x 2π = 586 million (this value will be used by Venus as a period)
Where 360 million km = Mercury Orbital Circumference
(2) Venus Motion
During 586s light its speed (1.16 million km per second) travels 680 million km
During 586s light known speed (300000 km/s) travels 175.8 million km
BUT
175.8 million km x 2π = 1104 million (this value should be used by Earth as a period)
680 million km = Venus Orbital Circumference
(3) Earth Motion
During 810s light its speed (1.16 million km per second) travels 940 million km
During 810s light known speed (300000 km/s) travels 243 million km
243 million km x 2π = 1526 million (this value should be used by Jupiter as a period)
Where 940 million km = Earth Orbital Circumference
BUT
During 940s light its (1.16 million km per second) travels 1104 million km (error 1%)
That shows the direction reflection between the Earth and Venus because of the reflection of energy- I proved that in point no. (**)
Notice –
Jupiter is the next planet after the Earth based on the light motion design for that the Earth value (1526 million km) should be used by Jupiter because Mars is a migrant planet and Mars original orbit was between Mercury and Venus and the next planet for the Earth was Jupiter- the confusion in data is made by Mars migration effect
(More explanation is provided in the comment on the data)
(4) Mars Motion
(Mars Is Exceptional)
During 1235s light its speed (1.16 million km per second) travels 1433 million km
During 1235s light known speed (300000 km/s) travels 371 million km = 2π x 59 mkm Where 1433 mkm = Mars Orbital Circumference
(5) Jupiter Motion
During 4224s light its speed (1.16 million km per second) travels 4900 million km
During 4224s light known speed (300000 km/s) travels 1267 million km –
4900 mkm =Jupiter Orbital Circumference
1267 million km x 2π = 7960 million km (this value be used by Saturn as a period)
Notice
Mars is a migrant planet for that – the Earth value isn't used for Mars orbit- but it's used for Jupiter orbit- and because of the reflection between Venus and the Earth- the Earth produces the value directly (1526 million km) without using the light speed (1.16 million km per second) where
1526 million km = Jupiter Orbital Distance 778.6 million km x 2 (error 2%)
Notice
During 4224s light its speed (1.16 million km per second) travels 4900 million km
4900 million km = Jupiter orbital circumference while 4222.6 hours = Mercury day period- if (one hour of Mercury = One second of light clock) that will connect Jupiter with Mercury strongly- this is a fact because- the solar system depends on Mercury clock in its motion and the planets orbits are defined based on Jupiter orbit after the planets migration- that makes Mercury and Jupiter the two heads of the solar system unified motion.
(6) Saturn Motion
During 7960s light its speed (1.16 million km per second) travels 9007 million km
During 7960s light known speed (300000 km/s) travels 2388 million km
9007 mkm = Saturn Orbital Circumference
2388 million km x 2π =15004 million km (this value be used by Uranus as a period)
(7) Uranus Motion
During 15559s light its speed (1.16 million km per second) travels 18048 million km
During 15559s light known speed (300000 km/s) travels 4668 million km
18048 mkm = Uranus Orbital Circumference
4664 million km x 2π =29305 million km (this value be used by Pluto as a period)
Notice
The transported value from Saturn is 15004 but the used value is 15559 (error 3.5%)
(8) Neptune Motion
(Neptune is exceptional)
During 24348s light its speed (1.16 million km per second) travels 28244 million km
During 24348s light known speed (300000 km/s) travels 7305 million km
28244 mkm = Neptune Orbital Circumference
(9) Pluto Motion
During 31983s light its speed (1.16 million km per second) travels 37100 million km
During 31983s light known speed (300000 km/s) travels 9595 million km
37100 mkm = Pluto Orbital Circumference
(10) The Earth Moon Motion
During 639s light its speed (1.16 million km per second) travels 724 million km
During 639s light known speed (300000 km/s) travels 191.6 million km = 2π x 30.5 mkm – BUT
30.5 mkm = 88000 km x 346.6 days
The moon displacements total during 346.6 (solar days) = 30.5 mkm
346.6 solar days= The nodal year and 88000 km = The moon displacement daily
742 mkm = The distance is passed by Uranus in 30589 hours - The data tells, the moon orbit regression be done by effect of Uranus motion.
THE COMMENTS ON DATA
(1)
We should note that, the data follows the rule perfectly- as we see in Mercury and Saturn data – the confusion in data is found by the planets migration – let's prove that
680 mkm (Venus Orbital Circumference) x (1.16 mkm/s) ^2 = 940 mkm
28244 mkm (Neptune Orbital Circumference) x (1.16 mkm/s) ^2 = 37100 mkm
(Max error 2.5 %)
940 mkm = Earth Orbital Circumference
37100 mkm = Pluto Orbital Circumference
Clearly the confusion of data is done for the Earth and Jupiter (Mars migration effect) and for Pluto and Neptune and Uranus (Pluto migration effect)
Shortly
The light (1.16 million km per second) created the solar system distances based on one another as the chess board distances- perfectly the light created the distances based on one geometrical design and as one network- But – The planets migration caused confusion for the data- by that the planets orbits data is confused and no longer be seen as designed by the light motion- specially because the solar system design repair needed to make Jupiter orbit as the central orbit based on which all planets orbits are modified- by that– the discovery for the light motion effect on the solar system distances creation needed deep analysis in data to remove the confusion.
Notice
The Earth data produced the value (1526 mkm) and this distance is used by Jupiter as a distance (1526 mkm = 2 x 778.6 mkm Jupiter Orbital Distance) (error 2%)
And
Uranus data produced the value (29305 mkm) and this distance is used by Neptune as a distance (29305 mkm= 28244 mkm= Neptune Orbital Circumference) (error 4%)
The behaviors are typical tell that by the same effect the modifications of both planets data are done-
Notice
680 sec x 1.16 million km /sec = 789 mkm (Jupiter orbital distance 778.6 mkm error 1.3%) – the data shows – Jupiter is the mentioned planet after the Earth because Mars original orbit was between Mercury and Venus by that the light motion moved from the Earth to Jupiter directly- Mars is not seen in this motion-
(2)
The inner planets distances ( 93.1, 175.8, 243, 370.6) can be used as cycles periods
175.8 solar days =Mercury day period
243 solar days = Venus rotation period
370.6 solar days are near to 365.25 days (error 1.5%),
(93.1 days x 2π= 584 days =the period of periodical meeting of Earth and Venus)
This equality depends on the rate 1mkm = 1 day
That tells each planet creates its PREVIOUS NEIGHBOR CYCLE PERIOD
And the outer planets distances in blue color (1267, 2330 , 4664, 7305, 9595)
2330 = 2 x 1165 = 2π x 371
4664 = 4 x 1165 = 4π x 371
7305 = 2π x 1165 =2π2 x 371
9595 = 8 x 1165 = 8 π x 371 (error 3%)
This data cornerstone is the number (371), (the Earth year 365.25 days)
The data refers to the Earth year because of the Earth effect on the sun creation
NOTICE
The data proves each planet orbit is defined based on its neighbor – my first equation (Planet orbital distance equation) proves this fact –
In following I put my planet orbital distance equation for revision
Planet Orbital Distance Equation
(My First Equation) (d)2 = 4 x d0 x (d- d0)
d = A Planet Orbital Distance
d0= Its Direct Previous Neighbor Planet Orbital Distance
The equation depends on the planets order, for that , just 2 neighbor planets can be used in this equation, means if (d is Venus distance, d0 be Mercury distance)
The equation exceptions are,
Earth depends on Mercury Not Venus – and Mars depends on Venus Not Earth And Pluto depends on Uranus Not Neptune
Note, we don't use the forma (d=2d0) instead we use the forma (d2 = 4d0 (d-d0)) because it uses the distance between the 2 planets and that decreases the errors
Let's test the equation
(1) Venus Motion
(108.2)2 = 4 x 57.9 x (50.3)
d= 108.2 million km = Venus Orbital Distance
d0= 57.9 million km = Mercury Orbital Distance
50.3 million km = The Distance Between Venus And Mercury
Venus Depends On Mercury
(2) Earth Motion
(149.6)2 = 4 x 57.9 x (149.6-57.9) (error 2.8%)
d= 149.6 million km = Earth Orbital Distance
d0= 57.9 million km = Mercury Orbital Distance
Earth depends on Mercury and doesn't on Venus
(3) Mars Motion
(227.9)2 = 4 x 108.2 x (227.9-108.2)
d= 227.9 million km = Mars Orbital Distance
d0= 108.2 million km = Venus Orbital Distance
Mars depends on Venus and doesn't on Earth
(4) Ceres Motion
(415)2 = 4 x 227.9 x (415-227.9)
d= 415 million km = Ceres Orbital Distance
d0= 227.9 million km = Mars Orbital Distance
Ceres depends on Mars
(5) Jupiter Motion
(778.6)2 = 4 x 415 x (778.6- 415)
d= 778.6 million km = Jupiter Orbital Distance
d0= 415 million km = Ceres Orbital Distance
Jupiter depends on Ceres
(6) Saturn Motion
(1433.5)2 = 4 x 778.6 x (1433.5- 778.6)
d = 1433.5 million km = Saturn Orbital Distance
d0 = 778.6 million km = Jupiter Orbital Distance
Saturn depends on Jupiter
(7) Uranus Motion
(2872.5)2 = 4 x 1433.5 x (2872.5- 1433.5)
d= 2872.5 million km = Uranus Orbital Distance
d0 = 1433.5 million km = Saturn Orbital Distance Uranus depends on Saturn
(8) Neptune Motion (error 4%)
(4495.1)2 = 4 x 2872.5 x (4495.1- 2872.5)
d= 4495.1 million km = Neptune Orbital Distance
d0 = 2872.5 million km = Uranus Orbital Distance Neptune depends on Uranus
(9) Pluto Motion
(5906)2 = 4 x 2872.5 x (5906- 2872.5)
d= 5906 mkm = Pluto Orbital Distance
d0 = 4495.1mkm = Neptune Orbital Distance Pluto depends on Uranus
Notice the error is less 1% for all planets except (Earth 2.8%) and Neptune (4%)
The Equation Discussion
(a)
The Equation tells each planet orbital distance depends on its previous neighbor planet orbital distance – but – there are 3 exceptions which are –
Earth depends on Mercury not Venus –
Mars depends on Venus not Earth–
Pluto depends on Uranus not Neptune–
(b)
The equation shows – the distance from the sun to Pluto be distributed based on one geometrical design – means – the distances be created together as one group in one a network form – the distances be similar to the chess board distances- they are distributed geometrically and in one network based on one design -
Shortly
No Single Distance be Created independently or individually – We deal with one network of distances -
Means
By Using Mercury Orbital Distance (57.9 million km) (one data) We Can Conclude All Planets Orbital Distances (9 Data) By Using Mathematical Calculations Only
(c)
Kepler stated (Planet orbit defines its velocity) – this concept is used in my third equation (d1/d2) = (v2/v1)2 where d= Planet Orbital Distance and v = Planet Velocity
The concept tells– If we know a planet orbital distance, we can conclude its velocity by mathematical calculations only
Shortly
By Using my 1st equation (d2 = 4d0 (d-d0)) and kepler law and the One Data (Mercury orbital distance = 57.9 million km) we can conclude by mathematical calculations only All Planets Orbital Distances, Velocities And Periods (27 Data)
That proves the concept (Planet data be created based on exact equations)
Planet Orbits Are Defined By Very Accurate System
Each planet orbit is defined based on an angle, these angles are reflected also – let's prove that (I suppose –There's a right triangle by the three points The Sun, Mercury and Venus) - Now
Venus angle is (61 degrees) because Venus orbital distance (108.2 mkm) x cos (61) = Venus Mercury distance (50.3 mkm) -
Here we can replace Venus with any other planet in the same triangle to define this planet angle based on similar calculation – as a result
Earth angle is (51 degrees) because Earth orbital distance (149.6 mkm) x cos (51) = Earth Mercury distance (91.7 mkm)
Mars angle is (41.7 degrees) because Mars orbital distance (227.9mkm) x cos (41.7)= Mars Mercury distance (170 mkm)
Jupiter angle is (22.2 degrees) because Jupiter orbital distance (778.6 mkm) x cos (22.2)= Jupiter Mercury distance (721 mkm)
Similar to that – Saturn angle is 16.5, Uranus angle is 11.6 deg, Neptune angle is 9.2 deg and Pluto angle is 8 deg- these angles follow the same system – for example
Pluto angle is (8 degrees) because Pluto orbital distance (5906 mkm) x cos (8)= Pluto Mercury distance (5848 mkm)
NOTICE No. (1) The right angle and its triangle is (a hypothesis) – we Can prove it because (v1/v2) = (θ1/ θ2)
means – these angles are rated with their planets velocities – for example
(Neptune velocity 5.4/ Pluto velocity 4.7) = (9.2 deg /8 deg)
Shortly -the angles which are defined based on the sun perpendicularity on Mercury orbit – all of them- are the correct angles by which the planets orbits are defined – that because the planets velocities are rated with these angles and Kepler stated (Planet orbit defines its velocity)- means- the planets orbits are defined based on these angles and that causes the angles rates to be equal with the velocities rates - Shortly -That tells indeed the sun position is perpendicular on the (inner planets orbits) – in fact – the sun is perpendicular on the Earth moon orbit- and this perpendicularity has effect on all inner planets because of the small distances among them.
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s) Data
(1)
(1.16 million km /s) x 300 sec = 348 mkm (300 mkm = Earth orbital distance x 2)
(1.16 million km /s) x 348 sec = 470 mkm (470 x2 = Earth Orbital Circumference)
(1.16 million km /s) x 470 sec = 551 mkm (Mars Jupiter Distance)
(1.16 million km /s) x 551 sec = 629 mkm (Earth Jupiter Distance)
(1.16 million km /s) x 629 sec = 721 mkm (Mercury Jupiter Distance)
(2)
(1.16 million km /s) x 108.2 sec x 4 = 500 mkm (108.2 = Venus orbital Distance)
(1.16 million km /s) x 500 sec = 580 mkm
(1.16 million km /s) x 580 sec = 671 mkm (Venus Jupiter Distance)
(1.16 million km /s) x 671 sec = 778.6 mkm (Jupiter Orbital Distance)
(1.16 million km /s) x 778.6 sec x 2 = 1806 mkm
(1.16 million km /s) x 1806 sec = 2094 mkm (Jupiter Uranus Distance)
(1.16 million km /s) x 2094 sec = 4900 mkm/2 (Jupiter Orb. Circumference)
(3)
(1.16 million km /s) x 5127 sec = 5906 mkm (Pluto orbital Distance)
(1.16 million km /s) x 4437 sec = 5127 mkm (Pluto Jupiter Distance)
(1.16 million km /s) x 3825 sec = 4437 mkm (Mercury Neptune Distance)
(1.16 million km /s) x 3244 sec = 3825 mkm (=π x 1205 mkm Mars Saturn Distance)
(1.16 million km /s) x2872sec=3244mkm (=2x1622 mkm Uranus Neptune Distance)
(1.16 million km /s) x4900sec=2 x 2872 mkm (Uranus Orbital Distance)
(4)
(1.16)2 x 170 sec = 227.9 mkm (Mars Orbital Distance)
Where 170 mkm = Mercury mars Distance
(5)
(1.16 million km /s) x 1980 sec = 2296.8 mkm
(1.16 million km /s) x 2296.8 sec = 2644.6 mkm (Mars Uranus Distance)
(1.16 million km /s) x 2644.5 sec = 3033.5 mkm (Uranus Pluto Distance)
1980 million km = the orbital circumferences total of (Mercury + Venus + Earth)
(6)
(1.16 million km /s) x 3717 sec = 4310 mkm (Earth Neptune Distance)
(1.16 million km /s) x 4346 sec = 5040 mkm (Jupiter Pluto Distance)
3717 mkm = Jupiter Neptune Distance –
(Earth Neptune Distance 4345mkm "error 1%" and Jupiter Pluto dis. 5127 mkm error 1.7%)
Discussion - the data tells the idea clearly, it tells
The distances in the solar system is created together based on one design and by one motion- this one motion is the light motion (1.16 million km per second) and the light creates the distance and after that the light uses the created distance as a period of time to create another distance, and by that, the light created all distances in one network together based on one geometrical design and this creation of the distances is done before any planet creation- the data clearly and strongly proves the hypothesis.
NOTICE - The total distances in the solar system (the orbital and inner distances) are 45 distances, the previous data used almost 50% of these distances (because many distances are equal in the solar group – for example – (Saturn orbital distance = Mars orbital circumference)- this distances equality makes the previous data behave in place of around 50% of all distances- and no logic to suppose these all distances are rated by the way with the rate (1.16)!!
The logical explanation is my theory I have explained- the light (1.16 million km per second) creates the distances based on one another by using the distances as periods of time - Also this behaviors is typical to the behavior of the known speed of light (300000 km/s)– as we have seen before - During 2094 seconds the light (300000 km/s) moves 629 million km (=Jupiter Earth distance) where 2094 million km (= Jupiter Uranus distance)- Simply it's typical behaviors tells the fact that the speed 1.16 million km per second is real fact and used in the solar system design)
I-11 The Solar System Geometrical Design Proves The Hypothesis
Data (1)
(A) (1.16/0.3) x 2π = 24.3
(B) 1.16 million km per second x 86400 seconds = 100733 million km
(100733 million km = The Planets Orbital Circumferences Total)
Data (2)
(a) 4224 x 1.16 =4900
(b) 100733 = π x 32200
(c) 1.1318/0.3 = 5906 / (778.6 /2)
Discussion
Data (1)
Data no. (A) - (1.16/0.3) x 2π = 24.3
By this equation the space and time are created- because it shows the coherence of light between the light (1.16 million km per second) and the light (300000 km/s)
The equation tells – the space is created in curves (2π) and the time is created in units each unit = (24 hours)
Shortly- the time essential units are 2 units (the second and 24 hours) because of the rate of time (one second of light clock = 24 hours of planet clock) by that the period of the (one second) (for light motion) is comparable with (24 hours) for planet motion that means- the period (24 hours) is one unit can't be divided and it's similar to the second period which is a unit can't be divided
Data no.(B) 1.16 million km per second x 86400 seconds = 100733 million km
The data tells the light (1.16 million km per second) moves in solar day (24 hours= 86400 seconds) a distance = 100733 million km = The Planets Orbital Circumferences Total - that proves the solar planets orbits creation is done by the motion of this light beam (1.16 million km per second) - the data proves the solar system design depends on this light motion.
Data (2)
Data no. (a) 4224 x 1.16 =4900
The data tells, the light (1.16 million km per second) moves in 4224 seconds a distance = 4900 million km = Jupiter Orbital Circumference
But – Mercury day period is 4222.6 hours (4224 hours approximately)
If (one second of light clock = one hour of Mercury clock), that will make the period (4224 s) as Mercury day period – and – we know that Mercury day period is the main period in the solar system because the sun rate of time is created based on it as I explain in the second and fourth hypotheses of this paper-
Shortly- while Mercury is the solar system head- Mercury day period is the main period in the solar system and this period is used for Jupiter orbital circumference because all planets orbits are defined based on Jupiter orbit after the planets migration- this fact is discussed in the third hypothesis is details – let's summarize it
Mars original orbit was between Mercury and Venus, and Pluto was the Mercury moon, and Pluto size was equal Mercury size- But- Mars and Pluto had migrated from their orbits- the planets migration caused serious risk for the solar system geometrical design- And Uranus provides a vertical effect on Jupiter to fix it in its orbit and prevent Jupiter to migrate with the migrant planets- after Jupiter be fixed in its orbit all other planets redefined their orbits according to Jupiter orbit – by that – Jupiter orbit be the most important distance in the solar system-
Notice- later Uranus caused to create Saturn to support Jupiter role- Saturn creation is done after the Earth moon creation because the energy reflection caused this delaying
The data shows how the solar system design depends on Jupiter orbit
Data no. (b) 100733 = π x 32200
32200 million km = the different distance between Pluto orbital circumference and Jupiter orbital circumference
100733 million km = The Planets Orbital Circumferences Total
The data supports the same idea- Jupiter and Pluto orbits create the general design of the solar system- because Jupiter is the main orbit in it and Pluto the last orbit.
Data no. (c) 1.1318/0.3 = 5906 / (778.6 x 2) where
5906 million km = Pluto orbital distance
778.6 million km = Jupiter orbital distance
1.1318 million km = Jupiter motion distance per solar day
0.3 million km = speed of light 300000 km/s
The data shows the distribution of Jupiter and Pluto orbits are in proportionality with speed of light (300000 km/s) and speed of (1.16 million km per second)
BUT the data shows Jupiter velocity daily (1.1318 million km per day) in place of the speed of light (1.16 million km per second) Why??
Another question asks (Why do all Jupiter distances depend on the speed of light 1.16 million km per second?) as we have seen in the previous proof No. (1-10)?
The story told the facts, Uranus provided effect on Jupiter and as a result Jupiter orbit be used as the main orbit in the solar system- BUT- what's this effect Uranus provided on Jupiter? What had happened really?
Uranus sent a light beam its speed (1.16 million km per second) to Jupiter for that Uranus velocity and Jupiter velocity both depends on the speed (1.16 million km per second)
Jupiter should move a distance 1.16 million km per solar day (24h) BUT Mars effect created more problems and caused Jupiter to use (Mars rotation period 24.6h) in place of the solar day and decreased the velocity with 2.5%
Uranus moves a distance 1.16 million km (in TWO solar days- error 1.3%)
The solar system basic design depends on (two seconds and not one second) as I explained in details in the fourth hypothesis of this paper- now – the system design uses two seconds in place of one second because Uranus moves the required distance 1.16 million in two days
Shortly – the force which is sent from Uranus to Jupiter was a light beam its speed 1.16 million km per second and by this force Jupiter helped the solar system and supported the planets in their orbits to prevent more migration in the solar system
I-12 The Solar System Distances Analysis Prove The Hypothesis
DATA (No. I)
50% Of All Distances In The Solar System Are Equal One Another (WHY?)
(1)
Saturn Orbital Distance = Saturn Uranus Distance =1433 million km =
= Mars Orbital Circumference
= Pluto Neptune Distance (error 1.5%)
= Pluto eccentricity Distance (error 1.5%)
= Neptune Orbital Distance/π
= Uranus Orbital Distance /2
= Mercury Jupiter Distance x 2
(2)
Neptune Orbital Distance = Saturn Pluto Distance
Jupiter Pluto Distance = Uranus Neptune Circumference
Earth Neptune Distance = Mercury Saturn Circumference (0.5%)
(3)
Jupiter Mercury Distance = 2 Mercury Orbital Circumference
Jupiter Venus Distance = Venus Orbital Circumference (1.5%)
Jupiter Earth Distance = Earth Orbital Circumference (1.2%)
(Earth and Jupiter at 2 different sides from the sun)
(4)
Jupiter Mercury Distance = Mars Orbital Distance x π (0.6%)
Jupiter Uranus Distance = Venus Jupiter Circumference (0.8%)
Pluto Orbital Distance = Earth Orbital Circumference x 2π
DISCUSSION
The data tells these distances must be created based on each other because all of them are parts in one design and one network- the data tells – it's impossible for these distances to be created univocally nor independently – but they are created by one motion based on one design and for one result.
DATA (No. II)
(778.6/721)=(721/670)= (670/629)=(1433/1325)=(1284/1205)= (2872/2644)= 1.0725
These are distances measured in millions km – let's define them
778.6, 721, 670 and 629 are the distances between Jupiter and the sun, Mercury, Venus and the Earth respectively.
1433, 1325, 1284, 1025 are the distances between Saturn and the sun, Venus, the Earth and Mars respectively.
2872 and 2644 are the distances between Uranus and the sun and Mars respectively.
MORE DATA (No. I)
629 million km (The Earth Jupiter distance)= (1.0725)^2 x 551 million km (Jupiter Mars Distance)
4495.1 million km (Neptune Orbital Distance) =1.0725 x 2 x 2094 million km (Jupiter Uranus Distance)
5906 million km (Pluto Orbital Distance) = (1.0725)^2 x 5127 million km (Jupiter Pluto Distance)
5127 million km (Jupiter Pluto Distance)= (1.0725)^2 x 4437 million km (Mercury Neptune Distance)
2.574 million km (Earth motion distance daily) = 1.0725 x 2.4 million km (TheMoon Orbital Circumference)
DISCUSSION
These distances are rated each other with (1.0725) this rate is created by Lorentz length contraction effect (as I supposed and proved)- but – regardless this rate reason the question is – How can all these distances be effected by this rate together?
That can be possible only if (these distances are parts of one design and this design is effected by this rate as a result all distances be effected together)
The data proves the distances are created together based on one design and the distances are effected together by the same one effect – shortly- these distance can NOT be independent from one another but they are one group created based on one design.
I-13 Deep Analysis For The Planets Orbits
The Light Uses Each Planet Orbital Period To Move A Distance = This Planet Orbit + All Previous Planets Orbits Total
DATA
(1)
14 x 24 x (300000 km/s) = 100.8 million km = 2 x 50.4
(2)
35.76 x 24 x (300000 km/s) = 258 million km = 149.6 + 108.2
(3)
58.1 x 24 x (300000 km/s) = 418 million km = 149.6 + (2 x 108.2) + 58
(4)
109.3 x 24 x (300000 km/s) =787 million km = 58+ 108+149.6 +2 x228 (error 2%)
(5)
687 x 24 x (300000 km/s) = 4900 million km
(6)
687 x 24 x (300000 km/s) = 4900 million km
(7)
1710 x 24 x (300000 km/s) = 12312 million km = 28244/(1.16 x2)
(8)
4868 x 24 x (300000 km/s) = 17600 million km x 2
(9)
9517 x 24 x (300000 km/s) = 68522 million km = 2 x 18048 + 32400
(10)
14413 x 24 x (300000 km/s) = 103773 million km
DISCUSSION
The data shows the rule (Planet Orbital Period "days"/2π) x 24 x Speed Of Light (300000 km/s) = A Distance = This Planet Orbital Circumference + All Previous Planets Orbital Circumferences Total – let's prove this rule in following
(1) Pluto Data
90560 days (Pluto orbital period) /(2π) = 14413 days
14413 x 24 x 300000 km/s = 103773 million km
The planets orbital circumferences total is 100733 million km
Between 103773 mkm and 100733 mkm the error is (3%)
Pluto follows the rule perfectly- the light passes a distance = Pluto orbital circumference + all previous planets orbital circumferences = the planets orbital circumferences total
(2) Neptune Data
59800 days (Neptune orbital period) /(2π) = 9517 days
9517 x 24 x 300000 km/s = 68526 million km = (2 x 18048) + 32400
The distance 2 x 18048 million km = all planets orbital circumferences total before Neptune
32400 mkm = 1.16 mkm/s x 28244 seconds
28244 million km = Neptune orbital circumference
Neptune follows the rule perfectly but because of the energy reflection the speed (1.16 mkm/s) is used one additional time- clearly we see Neptune follows perfectly the rule
(3) Uranus Data
30589 days (Uranus orbital period) /(2π) = 4868 days
4868 x 24 x 300000 km/s = 17600 million km x 2
18048 million km (Uranus Orbital Circumference) (error 2.5%)
Uranus follows the rule perfectly because Uranus orbital circumference =18048 mkm and all previous planets orbital circumferences total is = 18048 mkm
(4) Saturn Data
10747 days (Saturn orbital period) /(2π) = 1710 days
1710 x 24 x 300000 km/s = 12312 million km
Jupiter orbit (4900) + Saturn orbit (9000) = 14000 million km
Light (1.16 million km/s) x 12312 seconds = 14282 million km
Means
The value (12312) equal (Jupiter orbital circumference)+Saturn orbital circumference
But the reflection of energy uses the speed of light (1.16) to have effect on the data
That tells Saturn follows the rule
Notice
12312 sec x 1.16 mkm/s = 14282 mkm = 28244 mkm/2
28244 mkm = Neptune orbital circumference – that tells the confusion in Saturn data is done by Neptune orbit effect
Notice
We see the speed of light (1.16 mkm/s) has effect on Saturn data by division (12312 = 14282/1.16) but in Neptune data we have seen the speed of light (1.16 mkm/s) has effect by multiplication (28244 x 1.16 = 32400)
That tells we have opposite positions between (Neptune and Saturn) and the light connects them together by one motion-
The data tells simply (A x 1.16 and B/1.16) this is effect of one light beam motion through both points.
(6) Jupiter Data
4331 days (Jupiter orbital period) /(2π) = 687 days
687 x 24 x 300000 km/s = 4900 million km
Jupiter orbital circumference = 4900 million km
The distance equal Jupiter orbital circumference only without the previous planets BUT - The inner planets orbital circumferences total be = 4900 million km
Let's prove that
360 (Mercury) + 680 (Venus) +940 (Earth) + 1433 (Mars) = 3413 million km
4900 million km – 3413 million km = 1433 million km
That tells – the data supposes the Earth moon orbital circumference around the sun = Mars orbital circumference = 1433 million km
By that 360 + 680 +940 + 1433 + 1433 = 4846 million km = Jupiter orbital circumference (4900 mkm) (error 1%)
(7)Mars Data
687 days (Mars orbital period) /(2π) = 109.3 days
109.3 x 24 x 300000 km/s = 787 million km = Jupiter orbital distance 778.6 million km (error 2%)
778.6 million km= 57.9 mkm + 108.2 mkm + 149.6 mkm + 227.9 mkm+ 227.9 mkm
Means- Mars Value (787 = 778 = the four inner planets orbital distances total + the Earth moon orbital distance to the sun (which is considered = Mars orbital distance)
Here the value provided the distances total and not the circumferences total
But Mars follows the rule perfectly because
The value (778) = the 5 planets orbital distances total
(8)Earth Data
365.25 days (Earth orbital period) /(2π) = 58.1 days
58.1 x 24 x 300000 km/s = 418 million km = 149.6 mkm (Earth orbital distance) + 2 x 108.2 mkm (Venus orbital distance) + 57.9 mkm (Mercury orbital distance)
The Earth follows the rule- the modification can be done by the moon effect on the earth motion.
(9)Venus Data
224.7 days (Earth orbital period) /(2π) = 35.76 days
35.76 x 24 x (300000 km/s)= 258 million km = 149.6 mkm (Earth orbital distance)+ 108.2 mkm (Venus orbital distance)
(10)Mercury Data
88 days (Earth orbital period) /(2π) = 14 days
14 x 24 x (300000 km/s) = 100.8 million km = 2 x 50.4
50.4 million km = Mercury Venus Distance
The Comment On The Data
(1)
We notice a deep interaction between Mars and Jupiter where Jupiter orbital period (4331 days /2π)= 687 days (Mars orbital period)
And Mars value (109.3 days) enables the light to pass a distance 778.6 mkm
109.3 x 24 x 300000 km/s = 778.6 million km (Jupiter orbital distance)
That shows deep interaction between Mars and Jupiter which is logical behavior because Mars is a migrant planet and Mars created an interaction with Jupiter to enable Mars to stay in its New orbit and prevent any more migration.
(2)
Mars orbital period 687 days = 88 (Mercury) + 224.7 (Venus) + 365.25 (Earth)
(error 1.5%)
Notice - 551 mkm (Mars Jupiter distance) = 57.9 mkm (Mercury orbital distance) + 108.2 mkm (Venus orbital distance) + 149.6 mkm (Earth orbital distance) + 227.9 mkm (Mars orbital distance) (error 1.5%)
(3)
The data shows very important fact
The data tells that (The Light Motion Is The Main Player Behind All Data)
Let's use the sea water as example
The sea water motion is the main player behind the sea waves, the ship sailing, the fish swimming and the cause for any motion in the sea - Different forms of motions in the sea we can discover but the motion reason and motor is the same one reason and motor – This is the useful result of this data- it's simply a major proof for my theory- the light motion is the reason behind all planets motions and data-
Notice - Why Is The Planets Data Analysis Method Important?
The planets data analysis makes some anatomy for the planets data, by that, we can know how this planet data is created and what geometrical reason caused to create this data- the planets data analysis also enable us to discover if a planet violates a rule used by the other planets- and it shows the geometrical reason behind this violation-
1-14 Light defines each planet orbital period
The light defines each planet orbital period based on this planet diameter
Data
142984 s x (0.3)^2 = 12868 = π x 4331 (error 5%)
120536 s x (0.3)^2 = 10747
51118 s x (0.3) = 30589/2
49528 s x (0.3)^2 = 4457
7510 s x (0.3) x 4π^2 = 88945 (= 90560 error 1.8%) (notice 7510 x 4π^2 =296483)
6792 s x (0.3)^2 = 611
7510 s x (0.3)^2 = 676 = 687 (error 1.5%)
12756 s x (0.3)^2 = 1148 = π x 365.25
12104 s x (0.3)^2 = 1089 = (π^2)/2 x 224.7
4879 s x (0.3)^2 = 439 = (π^2)/2 x 88
Notice
7070 s x (0.3)^2 = 637 = 687 / 1.0725
Where
(1)
The left side data is the planets diameters, in details
142984 km, 120536 km, 51118 km, 49528 km and 7510 km are the diameters of (Jupiter, Saturn, Uranus and Neptune respectively and 7510km =Pluto circumference)
And
6792 km, 12756 km, 12014 km and 4879 km are the diameters of (Mars, Earth, Venus and Mercury respectively) – all diameters are used as periods of time with the rate (1 km = 1 second) - The periods are used by light known speed (300000 km/s)
(2)
The right side is the planets orbital periods
12868 = π x 4331 (error 5%) (4331 days = Jupiter orbital period)
10747 days = Saturn orbital period
30589 days = Uranus orbital period
90560 days = Pluto orbital period
Notice
4457 million km = Neptune orbital distance
That shows Neptune produced its orbital distance in place of its orbital period based on the same rule proves that Neptune is found on the opposite direction to the other planets.
687 days = Mars orbital period (with 611 the error 12%)!
1148 days = π x 365.25 days (Earth Orbital Period)
1089 days = (π^2)/2 x 224.7 days (Venus Orbital Period)
439 = (π^2)/2 x 88 days (Mercury Orbital Period)
Notice
7070 s x (0.3)^2 = 637 = 687 / 1.0725
7070 km was Mars original diameter before its migration- and the rate 1.0725 is found by Lorentz length contraction effect.
The Comment On The Data
The data shows the following
Light Motion Connects Each Planet Diameter With Its Orbital Period
The equation modifications can NOT refute the theory because the modifications depend on geometrical constant as (π), or depend on the using of (C) or (C^2)- these values can't be considered new values nor change the rule because they are geometrical constants which shows modifications are done for the energy- for example- the energy reflection causes to square the speed, by that, the planets which us (C) have no reflection of energy but the planets use (C^2) are suffered from the energy reflection- Shortly- the modifications can't refute the theory- means- the data tells – planet orbital period is defined based on this planet diameter by effect of the speed of light
I-15 Can Planet Diameter Be Used As A Period Of Time
DATA
Jupiter (13.1 km/s) moves during 10921 s a distance = 142984 km = Jupiter diameter
Uranus (6.8 km/s) moves during 7510 s a distance =51118 km = Uranus diameter
Pluto (4.7 km/s) moves during 10921 s a distance =51118 km = Uranus diameter
Pluto (4.7 km/s) moves during 51118 s a distance =2 x 102536 km = Saturn diameter
Pluto (4.7 km/s) moves during 2 x 120536 s a distance =1.1318 mkm
(1.13184 mkm = Jupiter motion distance per solar day)
Where
10921 km = The Moon Circumference
7510 km = Pluto Circumference
The data shows the planets diameters are used as periods of time (for planets motions) also and not only for light motion – the fact is proved simply
The Comment On The Data
(1)
My planet diameter equation proves that planet diameter is created as a period of time because the diameter is created as a function in this planet rotation period.
(2)
The previous data is example of many similar which proves the planet diameter is used as period of time.
(3)
How can the planet diameter be used as a period of time?
Planet diameter is used as a period to define another planet diameter-
The idea is that- the solar system is created from one motion (the original light beam motion)- by this one motion all planets diameters are created for that each planet diameter defines the next planet diameter.
(CONT)
Gerges Francis Tawdrous +201022532292
Physics Department- Physics & Mathematics Faculty
Peoples' Friendship university of Russia – Moscow (2010-2013)
Curriculum Vitae https://www.academia.edu/s/b88b0ecb7c
E-mail [email protected], [email protected]
ORCID https://orcid.org/0000-0002-1041-7147
Facebook https://www.facebook.com/gergis.tawadrous
VK https://vk.com/id696655587
Tumblr https://www.tumblr.com/blog/itsgerges
Researcherid https://publons.com/researcher/3510834/gerges-tawadrous/
Google https://scholar.google.com/citations?user=2Y4ZdTUAAAAJ&hl=en
Livejournal https://gerges2022.livejournal.com/profile
Pocket https://getpocket.com/@646g8dZ0p3aX5Ad1bsTr4d9THjA5p6a5b2fX99zd54g221E4bs76eBdtf6aJw5d0?src=navbar
PUBLICATIONS
box https://app.box.com/s/47fwd0gshir636xt0i3wpso8lvvl8vnv
Academia https://rudn.academia.edu/GergesTawadrous
List of publications http://vixra.org/author/gerges_francis_tawdrous
Slideshare https://www.slideshare.net/Gergesfrancis
#Optoelectronics#Isolation Components#Optocouplers#MOCD213R2M#Onsemi#optocoupler driver circuit#Isolation transformer audio#infrared transceiver#optocoupler sensor#optical isolator#what is an optocoupler#IR transceivers#optocoupler relay#photocoupler#opto-isolator#optical power#opto coupler
1 note
·
View note
Text
Digital Isolator Market With COVID-19 Impact Analysis By Isolation Type, Data Rate, Channel, Application (Gate Drivers, DC/DC Converters, ADCs), Vertical (Industrial, Automotive, Telecommuniactions), and Geography- Global Forecast to 2026 published on
https://www.sandlerresearch.org/digital-isolator-market-with-covid-19-impact-analysis-by-isolation-type-data-rate-channel-application-gate-drivers-dc-dc-converters-adcs-vertical-industrial-automotive-telecommuniactions.html
Digital Isolator Market With COVID-19 Impact Analysis By Isolation Type, Data Rate, Channel, Application (Gate Drivers, DC/DC Converters, ADCs), Vertical (Industrial, Automotive, Telecommuniactions), and Geography- Global Forecast to 2026
The digital isolator market was valued at USD 1.6 billion in 2020 and is projected to reach USD 2.4 billion by 2026. It is expected to grow at a CAGR of 8.0% during the forecast period. Risen adoption of digital isolators as substitutes for optocouplers, surged demand for noise-free electronic and electrical circuits, increased usage of renewable energy sources across the world, risen use of digital isolators as gate drivers, surged deployment of digital isolators in industrial motor-drive applications, and ability of digital technologies to help healthcare organizations and agencies keep track of COVID-19 spread are the key factors driving the growth of digital isolator market.
“Based on the isolation type, capacitive coupling to account the largest share during 2021–2026.”
The capacitive coupling segment is estimated to account for the largest size of the digital isolator market in 2021. Isolators based on capacitor coupling isolation type are available at comparatively low prices in the market. It is one of the key reasons for the largest size of the capacitive coupling segment of the market. The giant magnetoresistive segment of the market is projected to grow at the highest CAGR during the forecast period. The growth of this segment is fueled by better sensitivity and accuracy of digital isolators based on giant magnetoresistive isolation type than digital isolators based on capacitive coupling and magnetic coupling. The isolators based on giant magnetoresistive isolation type also offer a fast switching speed of up to 150 Mbps, with a low propagation delay of 10 ns to 15 ns. In addition, the materials used in these isolators increase their shelf life.
“Gate Driver Application to account for the largest share during the forecast period.”
Based on application, the digital isolator market has been segmented into gate drivers, DC/DC converters, analog to digital converters, USB and other communication ports, CAN isolation, and others (isolated analog data acquisition, programmable logic controller (PLC), and isolated P2P communication). The gate drivers segment is estimated to account for the largest size of the digital isolator market in 2021 in terms of value. Gate drivers provide electrical isolation. They possess a strong gate-drive capability, which is required to ensure the safety and robustness of system architectures. Metal-oxide-semiconductor field-effect transistors (MOSFET)-based gate drivers and insulated-gate bipolar transistor (IGBT)-based gate drivers are two types of gate drivers that require isolation. Gate drivers are used to enhance the efficiency, power density, and robustness of systems used in high-performance power conversion applications. They mainly provide reliable control over switching characteristics of IGBT and MOSFET configurations used in a number of inverter and motor-control applications. Gate drivers are designed for use in high-switching speed applications. They have system size constraints required by power switching technologies based on silicon carbide (SiC) and gallium nitride (GaN). In gate drivers, isolator agents, capacitors, or inductive coils are used for input energy transfer to drive gates and provide the necessary isolation for circuit safety and ground-loop isolation.
“Indutrail vertical to account for the largest share of the digital isolator market during the forecast period”
The industrial segment is estimated to account for the largest size of the digital isolator market in 2021 in terms of value. Digital isolators are among the key devices used in industrial equipment. They are used for protecting users and industrial equipment from ground differences and loops, noise, and voltage issues. These isolators also ensure the safety of industrial equipment and their operators. The presence of several industrial equipment manufacturers in APAC is a key factor responsible for the growth of the digital isolator market in APAC for industrial vertical. In addition, the increasing proliferation of the industrial Internet of things (IIoT) is expected to considerably fuel the demand for digital isolators used in the industrial vertical during the forecast period.
The growth of the digital isolator market for industrial vertical is mainly driven by the increasing deployment of industrial automation solutions and systems to reduce indirect industrial expenses and increase operating profits. Automation equipment require electric drivers to power them. These electric drivers require digital isolators to protect them from an unexpected power surge.
In-depth interviews have been conducted with chief executive officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the digital isolator marketplace.
By Company Type: Tier 1 – 56%, Tier 2 – 23%, and Tier 3 – 21%
By Designation: C-Level Executives – 75% and Managers – 25%
By Region: North America – 40%, Europe – 23%, APAC – 26%, and RoW – 11%
Texas Instruments (US), Silicon Labs (US), Analog Devices (US), Broadcom (US), Infineon Technologies (Germany), NVE (US), ROHM Semiconductor (Japan), Maxim Integrated (US), Broadcom (US), and Vicor (US)
are the key players in the digital isolator market. These top players have strong portfolios of products and services and presence in both mature and emerging markets.
The study includes an in-depth competitive analysis of these key players in the digital isolator market, with their company profiles, recent developments, and key market strategies.
Research Coverage
The report defines, describes, and forecasts the digital isolator market based on data rate, channel, isolation type, application, vertical, and geography. It provides detailed information regarding factors such as drivers, restraints, opportunities, and challenges influencing the growth of the digital isolator market. It also analyzes competitive developments such as product launches, acquisitions, expansions, contracts, partnerships, and developments carried out by the key players to grow in the market.
Key Benefits of Buying the Report
The report will help market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall digital isolator market and the sub segments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
0 notes
Text
The IoT Stock Boom is Back (SWKS, PI, LEAS, SLAB)

Gartner estimates that the IoT market will grow 21% next year. That would take it to 5.8 billion endpoints during that period. The biggest users: utilities—smart metering—are expected to rise 17% to reach 1.37 billion endpoints. The fastest grower is building automation, including lighting, rising by 42%, and followed by automotive applications (growing by 31%) and healthcare (increasing by 29%). Gartner also notes that it sees 8.4 billion connected things in place already, but by the end of this year, that number will be at over 20 billion. John Chambers, the luminary visionary in charge of Cisco during its heyday, believes that we will see 50 billion connected devices in the next half decade. That would amount to a total of nearly $20 trillion in market size. In fact, by the end of this year, nearly 70% of enterprises will depend on IoT products to some level. This is the IoT space by the numbers. And it’s likely going to turn out to be a series of underestimations and low-ball forecasts given the rate at which matter is turning into “smart matter” in this world. With that in mind, we take a look at a few interesting IoT stocks that may get increasing attention from the market, including: Skyworks Solutions Inc (NASDAQ:SWKS), IMPINJ Inc (NASDAQ:PI), Strategic Asset Leasing Inc. (OTCMKTS:LEAS), and Silicon Laboratories Inc (NASDAQ:SLAB). Skyworks Solutions Inc (NASDAQ:SWKS) designs, develops, manufactures, and markets proprietary semiconductor products, including intellectual property worldwide. Its product portfolio includes amplifiers, antenna tuners, attenuators, circulators/isolators, DC/DC converters, demodulators, detectors, diodes, directional couplers, diversity receive modules, filters, front-end modules, hybrids, LED drivers, low noise amplifiers, mixers, modulators, optocouplers/optoisolators, phase locked loops, phase shifters, power dividers/combiners, receivers, switches, synthesizers, technical ceramics, voltage controlled oscillators/synthesizers, and voltage regulators, as well as wireless radio integrated circuits. The company provides its products for use in the aerospace, automotive, broadband, cellular infrastructure, connected home, industrial, medical, military, smartphone, tablet, and wearable markets. It sells its products through direct sales force, electronic component distributors, and independent sales representatives. Skyworks Solutions Inc (NASDAQ:SWKS) recently announced that that its Milpitas, Calif. facility has achieved AS9100D certification. According to the company, through its defense and space business (formerly known as Isolink), Skyworks is a leading global supplier of high performance, high-quality radiation-tolerant components for aerospace, defense, medical, extreme industrial and high-reliability markets and applications. If you're long this stock, then you're liking how the stock has responded to the announcement. SWKS shares have been moving higher over the past week overall, pushing about 6% to the upside on above average trading volume. Skyworks Solutions Inc (NASDAQ:SWKS) generated sales of $766.1M, according to information released in the company's most recent quarterly financial report. That adds up to a sequential quarter-over-quarter growth rate of -14.5% on the top line. In addition, the company has a strong balance sheet, with cash levels far exceeding current liabilities ($1.1B against $362.2M). IMPINJ Inc (NASDAQ:PI) operates a platform that enables wireless connectivity to various everyday items to business and consumer applications. Its integrated platform connects everyday items to applications, delivering real-time information to businesses about items they create, manage, transport, and sell. Its platform also consists of software offerings that include ItemSense, a system software that comprises enterprise-class RAIN deployment management, software-defined algorithms for transition detection, and APIs that enable application developers to build powerful IoT solutions. IMPINJ Inc (NASDAQ:PI) just released its financial results for the second quarter ended June 30, 2020, including "Covid-19 negatively impacted our second-quarter results, and the continuing uncertainty tempers our third-quarter outlook," said Chris Diorio, Impinj co-founder and CEO. "Regardless, we see brightness ahead. Endpoint IC bookings are improving, large systems opportunities are accelerating and, longer term, we see adoption accelerating as leading end users leverage the improved visibility, insights, virtualization and customer experience that RAIN brings to their businesses." The context for this announcement is a bit of a bid, with shares acting well over the past five days, up about 10% in that timeframe. However, we should note that this is a $600M company that basically loses money on small revenues. IMPINJ Inc (NASDAQ:PI) pulled in sales of $26.5M in its last reported quarterly financials, representing top line growth of -30.7%. In addition, the company has a strong balance sheet, with cash levels far exceeding current liabilities ($120.9M against $24.4M). Strategic Asset Leasing Inc. (OTCMKTS:LEAS) is focused on leveraging technology assets with an initial focus on the Fintech Industry and the Internet of Things (IOT). The "Internet of Things", simply put, are devices and objects that also have an online connection such as personal voice assistants, smart home systems, video doorbells etc. These are rapidly growing sectors and LEAS will be developing and licensing technologies that will help companies penetrate these markets, thereby increasing shareholder value. Strategic Asset Leasing Inc. (OTCMKTS:LEAS) is headed by Jason Tucker, the company’s new CEO, who has 15 years of experience in Business Development, Project Management, Account Management, and Sales Engineering. He has extensive knowledge of logistics and core leadership skills, through many clinics and many years of working in the industry sector. The company recently announced that it has signed a development agreement with Product Design Experts, Inc. (PDE) to begin development of an Internet of things (IOT) product in the consumer security and safety market. According to the release, to help further deploy technology assets the Company has recruited Vincent Risalvato, CEO of PENNEXX Foods Inc. (OTC PINK:PNNX), to act as a technical advisor to the Company. The parties are also in talks to advance an opportunity in the future to partner PNNX with LEAS to connect IOT products with PNNX's merchants and users furthering the YourSocialOffers.com rewarding experience. Part of the Company's strategy is to develop tool kits that are pre-build designs that small companies can use to create products quickly and efficiently that interface with the Internet, dashboards, portals as well as existing devices like Amazon Alexa, Siri and Google home assistant devices. This strategy is based on the direction the industry has been heading. LEAS recently showed off what it can do, ramping from 0.0017 to 0.0070 (+312%) in just 5 days. The main pattern to note is the bullish ascending triangle pattern that has now broken out and suggests further strength ahead based on our research and experience. Strategic Asset Leasing Inc. (OTCMKTS:LEAS) is pre-revenue at this point, but clearly ramping toward some commercial “threshold” breakthroughs given its recent deal-making progress. Keep this one on the radar and check back often. Silicon Laboratories Inc (NASDAQ:SLAB) provides mixed-signal integrated circuits (ICs) in the United States, China, and internationally. The company offers Internet of Things products, including 8-bit mixed-signal and ultra-low-power 32-bit microcontrollers (MCU); wireless MCU connectivity solutions; single and multi-protocol system-on-chip (SoC) devices and modules; wireless protocols, MCUs, and SoCs; in-house protocol stacks; Micrium, a real-time operating system that helps simplify software development for IoT developers; and sensor products comprising optical, relative humidity/temperature, and hall effect magnetic sensors. It also provides infrastructure products, such as timing devices; multi-channel isolators, isolated drivers, isolated power converters, and mixed-signal devices; broadcast products, which include single-chip hybrid TV tuners and digital video demodulators, as well as AM/FM, HD radio, and DAB/DAB+ receivers; and hybrid software defined radio tuners, data receivers, and digital radio coprocessors. Silicon Laboratories Inc (NASDAQ:SLAB) reported financial results for its second quarter ended July 4, 2020. Revenue was near the top end of the guidance range at $207.5 million, down from $214.9 million in the first quarter. Second quarter GAAP and non-GAAP diluted earnings (loss) per share (EPS) were $(0.04) and $0.74, respectively. "Second quarter revenue was at the high end of our guidance range at $207.5 million," said Tyson Tuttle, CEO of Silicon Labs. "Clearly, the global pandemic has and will continue to impact the way people live, work and play. We are well-positioned to execute our strategy in IoT connectivity and internet infrastructure in light of recent trends in the market, which we see accelerating as the world moves even faster to becoming more connected." The context for this announcement is a bit of a bid, with shares acting well over the past five days, up about 3% in that timeframe. SLAB shares have been relatively flat over the past month of action, with very little net movement during that period. Silicon Laboratories Inc (NASDAQ:SLAB) generated sales of $207.5M, according to information released in the company's most recent quarterly financial report. That adds up to a sequential quarter-over-quarter growth rate of -3.4% on the top line. In addition, the company has a strong balance sheet, with cash levels far exceeding current liabilities ($723.3M against $135M). Read the full article
0 notes
Text
Embedded programming in the Internet of Things
Embedded programming has a long history of making devices do what people need. However, it remains outshined by application programming: when application programmers were embracing high-level object-oriented languages like C++ or Java, or graphical application development environments like MATLAB, embedded programmers were only moving from assembly language to C. Besides, they were always outnumbered by app programmers — simply because now even hobbyists can develop an app using an easy language and upload it to cloud, while embedded programmers need to have profound knowledge of the hardware platform.
With the emergence of the Internet of Things (IoT), the balance can finally change. Now that every thermostat, toaster, watch, and light bulb is equipped with a processor, the market needs more embedded programmers to program these devices, and consequently more simpler tools to allow the programmers to write code without plunging into the hardware.
But first!
What is embedded programming?
According to Technopedia, embedded programming is a specific type of programming that supports the creation of consumer facing or business facing devices that don’t operate on traditional operating systems the way that full-scale laptop computers and mobile devices do. The idea of embedded programming is part of what drives the evolution of the digital appliances and equipment in today’s IT markets.
If explained in simpler words, embedded programming is designing software for small computers that drive devices; essentially, it is the dominant methodology for microcontroller and microcomputer programming used in small facilities-handling devices like thermostats, handheld games or other small devices.
Embedded programming and IoT
From the engineering perspective, the Internet of Things is an embedded microprocessor controlled system connected directly or indirectly to the web. The three pillars of the IoT are therefore embedded programming, network technology and information technology. The embedded system of a device collects data from a sensor and sends it to the cloud using a wifi module — basically, it means that you can turn your embedded device into an IoT device by simply giving it Internet access.
The IoT is everywhere, and so are embedded devices:
Industrial world, such as industrial machinery and control, temperature monitoring, or cognitive anomaly detection — the recent challenges of embedded systems turned them towards automation.
Healthcare, including blood pressure monitors, heartbeat monitors, and pacemakers.
Aerospace and Defense with such applications as flight control systems, actuation, air and thermal management, engine power control and many others.
Smart Homes, including Home Security system, Setup Box, Digital Camera, Television, Microwave Oven, Air Conditioner, Refrigerator and much more.
Embedded systems
Once I’ve read the saying that every complex system in the world can be reduced to two ideas: software and hardware. An embedded system is not an exception: to understand how embedded programming works, we need to understand its hardware and software parts.
Embedded Hardware
The embedded development board is divided into five modules: Processor, Memory, Input devices, Output devices and Bus controllers.
Hardware Components of an Embedded System
Processor
Embedded processors can be broken into two categories: ordinary microprocessors that use separate integrated circuits for memory and peripherals, and microcontrollers that have on-chip peripherals, reducing power consumption, size and cost. Some of the examples of microprocessors include:
Microcontroller (CPU) is an intelligent device that computes the tasks assigned by the user and is used to build small applications with precise calculation.
System on Chip (SoC) comprises a CPU, Peripheral devices (Timers, counters), Communication interfaces (I²C, SPI, UART), and Power Management Circuits on a single IC.
ASIC processor (Application Specific Integrated Circuit) is designed for use for a particular application and owned by a single company.
DSP processor removes the noise and improves signal quality in Audio and Video Applications.
Memory
Data storage and memory management require EEPROM. Some examples of the memories used in embedded systems include Non-Volatile RAM, Volatile RAM, DRAM (Dynamic Random Access Memory), etc.
Input Devices
Input devices, such as sensors, switches, photodiode, optocouplers, etc., take input from the outside world accepting input from the user and responding accordingly.
Output Devices
Output devices, including LCD, LED, seven segment displays, buzzers and relays, are indications or results of input events from outside the microcontroller.
Bus controllers
The bus controller is a communication device that transfers data between the components inside an embedded system. The most widely-spread bus controllers are serial buses (I2C, SPI, SMBus etc.), RS232, RS485 and universal serial bus.
Embedded Software
Embedded software, sometimes called firmware, is written for the device drivers, operating system, and applications, as well as for error handling and debugging.
Software Components of an Embedded System
Device Driver
A device driver is a piece of embedded code written for a particular hardware.
Operating System (OS)
Embedded systems have a range of operating systems, including RTOS (Real-time operating systems), mobile embedded, stand-alone and network embedded systems.
Most of the embedded software is now written in two languages, C and C++. There is not much difference between C and C++ in terms of syntax. However, C++ has some additional features, like enhanced security and closeness to real-world applications, while C is considered to be more reliable and showing better performance and directly interacting with the hardware.
Key steps to create an embedded product
Now, knowing the theory, we can prepare ourselves to try embedded programming.
Probably, the best way to start writing software that would directly affect physical objects is to explore such embedded platforms as Arduino, Raspberry Pi, or Particle.
To develop a viable product you should take the following steps:
Step 1. Learn C or C++
And this is where many (me included) stop. However, if you want to write embedded software, you have to learn C/C++ (and maybe eventually Rust).
Step 2. Learn Some Basic Electronics
At least to the extent that you understand what voltage, current, power, resistance, and ohms law are.
Step 3. Get the Basic Equipment
Embedded programmers actually interact with the physical world, so such things as soldering iron, Digital Multi-Meter (DMM), and a hardware debugger/ JTAG adapter (such as an ST-Link, or OLMEX adapter) or a Logic Analyzer would be of help.
Step 4. Choose a Microcontroller and Toolchain
To make your program run, you’ll need a microcontroller to actually run it, a compiler that would compile it for the microcontroller, and other tools to load the program onto your hardware. An example of the compbination of mictocontrollers with a toolchain is the STM32 microcontrollers that are supported by the arm-gcc along with openOCD toolchain.
Step 5. Understand the Datasheets
Before actually sitting down to write the first line of your code, you need to understand the (end user) specifications.
Step 6: Examine the components
Analyze and pick up the components (software and hardware) required to make the product.
Step 7: Design a product
Designing is always the most critical phase of any development cycle. The peculiarity of the embedded programming is that you have to develop the hardware and software parts individually and integrate both.
Step 8: Develop a prototype
A prototype is a sample version created to test the concept which is developed according to the specifications using the selected hardware and software tool.
Step 9: Test the application
Now that the prototype it is possible to run test cases to prove the possible potential of the application.
Step 10: Deploy the application
After testing the application, the result is checked in a real environment to realize the Proof Of Concept — a technique used to validate an idea.
Step 11: Support and Upgrade
If needed, you should be ready to provide support and upgrade the application with new features.
Eleven steps to create an embedded product
And now you are ready to start changing the world — for example, but creating a smart Lego city!
0 notes
Text
Global Optocouplers Market 2019 - Evolving Technology, Trends, Key Market segments and Industry Analysis
An optocouplers, also called opto-isolator, optical coupler, opto coupler, photocoupler or optocouplers, is a passive optical component that can combine or split transmission data (optical power) from optical fibers. It is an electronic device which is designed to transfer electrical signals by using light waves in order to provide coupling with electrical isolation between its input and output. The main purpose of an optocoupler is to prevent rapidly changing voltages or high voltages on one side of a circuit from distorting transmissions or damaging components on the other side of the circuit.
An optocoupler contains a light source often near an LED which converts electrical input signal into light, a closed optical channel and a photosensor, which detects incoming light and either modulates electric current flowing from an external power supply or generates electric energy directly. The sensor can either be a photoresistor, a silicon-controlled rectifier, a photodiode, a phototransistor or a triac.
Request Sample Report@ https://www.acquiremarketresearch.com/sample-request/478
The market is driven by various end-user industries, such as Telecommunications, Cable TV, Military and Aerospace, Industrial Motors, Automotive and others (computers and office equipment, plasma displays).
The market for Optocouplers is fragmented with players such as Fairchild, Toshiba, Avago (FIT), Vishay Intertechnology, Renesas, Sharp, ISOCOM, LiteOn, Everlight Electronics, Standex-Meder, Electronics, IXYS Corporation, Kingbright Electronic, NTE Electronics, Plus Opto, etc. The industry is expected to remain innovation-led, with frequent acquisitions and strategic alliances adopted as the key strategies by the players to increase their industry presence. Meanwhile, optimize product mix and further develop value-added capabilities to maximize margins.
The unique characteristics of Optocouplers, together with their growing significance in multi-channel and bi-directional applications, are anticipated to boost sales. Manufacturers can take advantage of this situation by reinforcing their production units and supply-chains to avoid any delay in production turn-around-times (TAT) and supply-lead-times.
According to this study, over the next five years the Optocouplers market will register a 8.3% CAGR in terms of revenue, the global market size will reach US$ 4780 million by 2024, from US$ 2970 million in 2019. In particular, this report presents the global market share (sales and revenue) of key companies in Optocouplers business.
This report presents a comprehensive overview, market shares, and growth opportunities of Optocouplers market by product type, application, key manufacturers and key regions and countries.
More Info and TOC @ https://www.acquiremarketresearch.com/industry-reports/global-optocouplers-market-growth-2019-2024/478/
This study considers the Optocouplers value and volume generated from the sales of the following segments:
Segmentation by product type
Non-linear Optocouplers
Linear Optocouplers
Segmentation by application
Telecommunications
Cable TV
Military and Aerospace
Industrial Motors
Automotive
Others
This report also splits the market by region
Americas
APAC
Europe
Middle East & Africa
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market.
The key manufacturers covered in this report
Fairchild, Toshiba, Avago (FIT), Vishay Intertechnology, Renesas, Sharp, ISOCOM, LiteOn, Everlight Electronics, Standex-Meder Electronics, IXYS Corporation, Kingbright Electronic, NTE Electronics, Plus Opto….
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key manufacturers and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
To study and analyze the global Optocouplers consumption (value & volume) by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Optocouplers market by identifying its various subsegments.
Focuses on the key global Optocouplers manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Optocouplers with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the consumption of Optocouplers submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Request for Discount @ https://www.acquiremarketresearch.com/discount-request/478
About Acquire Market Research:
Acquire Market Research is a shrine of world-class research reports from around the world and we offer you only the best in the Industry when it comes to research. At Acquire, every data need will be catered to and met with a powerful world of choices. "We understand the integral role data plays in the growth of Business empires."
Contact Us: 555 Madison Avenue, 5th Floor, Manhattan, New York, 10022 USA Phone No.: +1 (800) 663-5579 Email ID:[email protected]
0 notes
Link
Electronic Products Distributor
ELECTRONIC PRODUCTS DISTRIBUTOR - PRECISION LOGIC
Find obsolete, discontinued, EOL, Last time Buys, Hard to find, and long lead time electronic products in stock/available. Immediate Price and Delivery.
CALL US 516-826-6200
TYPES OF ELECTRONIC PRODUCTS
Audio ICs
Amplifier ICs
Chipsets
Clock & Timer ICs
Communication ICs
Networking ICs
Counter ICs
Data Converter ICs
Digital Potentiometer ICs
Driver ICs
Interface ICs
Integrated Circuits
Logic ICs
Microprocessors
Microcontrollers
Multimedia ICs
Power Management ICs
Programmable Logic ICs
Switch ICs
Semiconductors
Wireless ICs
RF Integrated Circuits
Memory ICs
Audio & Video Connectors
Automotive Connectors
Backplane Connectors
Board to Board Connectors
Card Edge Connectors
Circular Connectors
Connectors Obsolete
D-Sub Connectors
Ethernet Connectors
FFC/FPC Connectors
Fiber Optic Connectors
IEEE 1394 Connectors
I/O Connectors
Lightning Connectors
Memory Connectors
MIL-Spec / MIL-Type Connectors
Modular Connectors
Mezzanine Connectors
Photo-voltaic Connectors
Pin & Socket Connectors
Power Connectors
RJ45 Connectors
Solar Connectors
USB Connectors
Industrial semiconductors
Industrial Integrated Circuits
Industrial Capacitors
Industrial Connectors
Industrial Controllers
Industrial Counters
Industrial Relays
Industrial Solenoids
Industrial Sensors
Industrial Switches
Industrial Terminal Blocks
Industrial Timers
Industrial microprocessors
Industrial obsolete Parts
Industrial Components
Industrial Electronics
Backlighting Components
Electronic Visual Displays
Electronic Drivers
Fiber Optics
LED Emitters
LED Indication
LED Lighting
Optical Detectors and Sensors
Optical Switches
Optocouplers
Photocouplers
Flash memory
FPGA - Configuration Memory
FPGA - Field Programmable Gate Array
Managed NAND
Memory Controllers
Obsolete DRAM Memory
Memory IC Development Tools
Memory Cards
NVRAMs
NAND Flash
NOR Flash
Obsolete SRAM Memory
Simm
SO Dimm
Dimm
Transflash memory module
Memory Modules
Audio Transformers
Signal Transformers
Capacitors
EMI Filters
EMI Suppression
Encoders
Ferrites
Filters
Timing Devices
Potentiometers
Trimmers
Rheostats
Resistors
Thermistors/NTC
Thermistors/PTC
Varistors
Audio Sensors
Current Sensors
Environmental Sensors
Flow Sensors
Magnetic Sensors
Motion & Position Sensors
Optical Sensors
Pressure Sensors
Proximity Sensors
Temperature Sensors
MIL-STD-883
Mil Spec Resistors
Mil Spec Capacitors
Mil Spec Semiconductors
Mil Spec Integrated Circuits
Mil Spec Ics
Mil Spec Connectors
M39006 Series
M83733 Series
SNJ55 Series
SNJ54 Series
5962 Series
54F Series
MS3349 Series
5945-00 Series
MS310 Series
JAN/JANTX Series
JANTXV Series
JM38510 Series
102 notes
·
View notes
Text
Regulation Technology for Low Cost and High Efficiency Offline LED Driver
With the continuous innovation and rapid development of the lighting industry, coupled with the increasing importance of energy saving and environmental protection, high-brightness (HB) LEDs have evolved from simple indicator lights to important lighting sources beyond traditional light sources. Compared with other lighting solutions, ldp lighting has several significant advantages, such as low energy consumption, long life and high lighting quality. However, for HB LEDs to successfully replace ordinary incandescent lamps into the mass market, the cost of driving electronics must be minimized.
For traditional incandescent lighting sources, driving is a breeze, as long as the bulb is directly connected to the voltage source. Most energy sources are in the form of a constant voltage, which makes the driving cost of incandescent lamps quite low. However, LEDs have a light output intensity that is proportional to its current and forward voltage drop, and varies with temperature. Therefore, LEDs require a constant current to drive and require additional circuitry. Traditionally, an offline constant current driver for an LED is generally implemented using an isolated flyback converter with an output current regulation circuit (see Figure 1). The actual LED voltage is measured through a sense resistor, and then compared with the reference voltage value to obtain the error voltage. This error voltage is transmitted to the side via an optocoupler and is used to control the duty cycle of theswitching device. Although this solution can achieve excellent LED current regulation, the output regulation circuit requires an optocoupler, reference voltage, and sense resistor, which greatly increases system cost and reduces overall efficiency.
side regulation (PSR) technology may be the best solution to minimize the cost of offline LED drivers. This technology only needs the information on the side of the driver to accurately control the LED current on the secondary side, which not only eliminates the output current detection loss, but also eliminates all secondary feedback circuits, thereby increasing the offline LED driver without generating huge costs Design efficiency. In addition, the technology can adjust the output voltage of the LED driver without the need for a secondary-side feedback circuit, which is equivalent to providing an overvoltage protection function for the lamp, which further ensures the reliability of the driver. This article will discuss the basic working principle of regulation technology, and introduce a highly integrated regulation PWM controller. This controller has several significant advantages over traditional secondary-side regulation methods.
Basic concepts of regulation
Figure 2 shows the basic circuit diagram of a regulated flyback converter and its typical waveforms. Generally speaking, discontinuous conduction mode (DCM) has better output regulation performance, so it is the preferred working mode for regulation. The key to regulation is how to obtain output voltage and current information without direct detection. Once these values are obtained, they can be easily controlled by traditional PI control methods.
During the MOSFET on-time (TON), the inductance (Lm) is loaded with the input voltage (VIN). As a result, the MOSFET current (Ids) linearly increases from 0 to the peak value (Ipk). During this time, energy is transferred from the input and stored in the inductor. When the MOSFET is turned off, the energy stored in the inductor causes the rectifier diode (D) to turn on. During the diode on time (TD), the output voltage (Vo) is applied to the secondary-side inductor (Lm × Ns2 / Np2), and the diode current (ID) decreases linearly from the peak value (Ipk × Np / Ns) to 0. At the end of the TD, all energy stored in the inductor is released to the output. During this period, the sum of the output voltage and the forward voltage drop of the diode is reflected to the auxiliary winding terminal and is expressed as (Vo + VF) × Na / Ns. Because the forward voltage drop of the diode decreases with decreasing current, the diode current decreases to 0 at the end of the diode on-time, so the auxiliary winding voltage can best reflect the output voltage. Therefore, by simply sampling the winding voltage at the end of the diode on time, the output voltage information can be obtained, and the diode on time can be obtained by monitoring the auxiliary winding voltage.
Figure 3 Schematic diagram of the internal module of the integrated power switch (FSCQ-series)
At the same time, the estimation of the output current requires some multiplication. Assuming that the output current is equal to the average current of the diode in steady state, the output current can be estimated by the formula: Io = Ipk × (Np / Ns) × (TD / 2Ts). The output current estimator uses a peak detection circuit to obtain the peak drain current and calculates the output current using the diode on time (TD).
Integrated Regulation Controller
regulation PWM controllers, such as Fairchild Semiconductor's FAN102, are a technology that specifically addresses the design of regulation off-line LED drivers. This technology significantly simplifies design challenges for more stringent efficiency requirements and eliminates external components such as optocouplers and KA431 that add cost and reliability issues. Figure 3 is a schematic diagram of the internal module of FAN102. The device has an internal reference voltage tolerance of ± 1% for the error amplifier, which minimizes input current / voltage variations based on the tolerances of external components, and also includes an integrated external component temperature change compensation circuit No matter how the temperature changes, you can get high accuracy. Its internal oscillator has a frequency hopping function to reduce EMI, and a small line filter can be used at the input.
in conclusion
Proprietary technology combined with sampling and output estimation can provide a variety of offline LED drivers with precise and lower cost implementations-from street lamps to medical applications, to consumer electronics applications such as lights and table lamps. These LED drivers can now achieve smaller size, lower cost, and higher efficiency.
0 notes