#table grid computation improved

[aviandtheseals]

The Rowntrees House Tour - 1374

Here is a tour of the house I currently use for my main family in the ultimate decades challenge! I like to change up my builds once I get bored with them, but I'm really enjoying this house and I hope to continue to expand it through the next few decades.

The front of the lot has a relatively empty front yard, some plants, and a graveyard for the recently deceased family whose ghosts are still around. The main house has a path leading up to it and two floors. The front yard also has a trash can and mailbox (bottom left corner) and the signpost from ye olde cookbook (in the plants clump next to the front wall of the house. The double door in the front of the house leads to the store, and there's another door on the side.

Behind the house there is a garden in the middle, a pond with a raised pool on the left, an outhouse and chicken coop behind the field, and an archery range surrounded by trees to the right.

This is the archery range where the family can practice archery. It is in the more forest-y area of the lot while the garden is in an area clearer from trees. There is also historical money bars for the kids to play on.

This is the layout of the first floor. From left to right: bathroom, store, crafting room, and kitchen. The bathroom shares a wall with the house, but has its own door on the left. The store has the main entrance of the house and connects to the crafting room. The kitchen connects to the crafting room as well and has its own door that guests can use.

This is the store. There are tables and shelves for the family to sell their items, and a typewriter in the middle because that's the only off-the-grid computer I have. The nicer-looking furniture are currently for sale.

This is the bathroom, where Finnian is currently bathing. It's the main bathroom used by the family when they are in the house.

This is the crafting room, where there are different large appliances use like the woodworking and candle-making tables. The punching bag is also there for fitness skill. Most of the rooms have a fireplace because that seems time-appropriate.

The kitchen is the main area where the family congregates. In the back corner there is a pantry, and there are stairs to the second floor. There is usually a meal prepared in the morning for people and grab and eat throughout the day.

The second floor has the bedrooms and family/living room. The stairs lead to the living room on the right and the bedrooms on the left. Bedrooms left to right: master, single beds, nursery.

In the living room, there are activities like cards and the lute, as well as decorations. There is a bench that people nap on sometimes. If there is money for more nice activities, they will go in this room. There is also a baby sleeping on the floor but we don't talk about that.

The hallway has a table for fun, and a ladder to the currently non-existent attic. On the right is the nursery, which has infant and toddler beds as well as a potty and a toilet for the adults if they are on the second floor. On the left is another bedroom with two beds. Currently Kymmie and Sabina sleep there, but sleeping arrangements could change once there are more older kids in the house.

At the end of the hallway is the master bedroom. This is where Finnian and Edussa sleep. It has some furniture and most importantly the money jar on the cabinet, where the family keeps their savings. Which I waste on buying them furniture.

This is the ceiling of the bathroom, which can't be reached so it hasn't been cleaned since the fire.

This is the attic currently in progress. There is a chest where I put fruits I don't want the family to eat. Also there is a chair.

I hope you enjoyed the post. What was your favorite of the house? Any suggestions to improve it?

[renatoferreiradasilva]

Spectral Modeling of Riemann Zeta Zeros Using Schrödinger Operators and Machine Learning

Author: Renato Ferreira da Silva Email: renatoferreiradasilva1980@yahoo.com ORCID: 0009-0003-8908-481X

Abstract: This paper explores a computational approach to approximating the nontrivial zeros of the Riemann zeta function as the spectrum of a self-adjoint operator. Using Schrödinger operators with potentials expanded in a Hermite basis, we train neural networks to infer eigenvalues from parametric potentials and validate their spacing statistics against the Gaussian Unitary Ensemble (GUE) predictions from random matrix theory. The model's robustness is tested with real zeros obtained by Odlyzko, and the methodology is extended to integro-differential operators. The results show numerical compatibility with the Hilbert–Pólya conjecture and open directions for a spectral interpretation of the Riemann Hypothesis.

1. Introduction

The Riemann Hypothesis (RH), one of the most profound problems in mathematics, conjectures that all nontrivial zeros ρ=12+iγj of the Riemann zeta function lie on the critical line ℜ(s)=1/2. An influential perspective known as the Hilbert–Pólya conjecture proposes that these zeros are the eigenvalues of a self-adjoint operator, potentially linking number theory to spectral theory and quantum mechanics. Inspired by this idea, we develop a framework that constructs operators whose spectra approximate these zeros, leveraging numerical methods and machine learning to bridge analytic number theory and physics.

2. Spectral Formulation

We model the operator as a one-dimensional Schrödinger operator:L=−d2dx2+V(x),x∈[−L,L],

with Dirichlet boundary conditions. The potential V(x) is smooth and rapidly decaying, approximated using a Hermite basis:V(x)=∑n=0KcnHn(x)e−x2/2,

where Hn(x) are Hermite polynomials and cn are trainable coefficients. This choice imposes regularity and controls the model's complexity.

3. Numerical Framework and Dataset Generation

The operator is discretized via central differences on a grid with N points. The Laplacian becomes tridiagonal, and the potential is diagonalized using SciPy's sparse eigenvalue solver. Each potential V(x) is generated by sampling the coefficients cn∼N(0,σ2/(1+n)2). The first M eigenvalues are retained for analysis. A logarithmic transformation is applied to improve stability and convergence in training.

4. Neural Network Modeling

A multilayer perceptron (MLP) is trained to map cn→λj with:

Input: 10 coefficients c0,...,c9

Hidden layers: Two with 64 neurons (activation: tanh)

Output: First 50 eigenvalues

Normalization and dropout are applied, and training uses the Adam optimizer. The network achieves MSE below 10−2 on validation data.

5. Statistical Validation via GUE

The eigenvalue spacings are compared with the GUE prediction:PGUE(s)=32π2s2e−4s2/π.

Spacing histograms match the GUE distribution. Kolmogorov–Smirnov tests yield p-values above 0.1. Rigidity statistics further confirm GUE-like behavior.

6. Real Zeros and Inverse Modeling

We replace model spectra with the first 50 real zeros from Odlyzko’s tables and invert the map γj→cn via optimization. The resulting potentials exhibit chaotic, decaying profiles. GUE behavior persists even in these real-data inversions.

7. Extension to Nonlocal Operators

We introduce a nonlocal operator:Lψ(x)=−ψ′′(x)+∫−LLK(x,y)ψ(y) dy,

where K(x,y) is expanded in Hermite functions. These operators connect to Alain Connes’ noncommutative geometry. Preliminary results show GUE statistics emerge from well-chosen kernels.

8. Conclusion and Outlook

This framework blends Schrödinger operators, Hermite expansions, and deep learning to model the Riemann zeros. Future directions include:

Spectral inversion via attention networks or VAEs

Generalization to Dirichlet L-functions

Noncommutative geometry and spectral triples

Stability analysis under potential perturbations

Inverse spectral uniqueness studies

Acknowledgments

The author acknowledges Odlyzko’s dataset and thanks collaborators in spectral geometry and numerical analysis. Supported in part by [Funding Agency, Grant Number].

References

A. M. Odlyzko, The $10^{20}$-th Zero of the Riemann Zeta Function, 1992.

M. V. Berry, J. P. Keating, The Riemann Zeros and Eigenvalue Asymptotics, SIAM Review, 1999.

A. Connes, Noncommutative Geometry, Academic Press, 1994.

T. Tao, Structure and Randomness in the Zeta Function, preprint, 2023.

M. L. Mehta, F. J. Dyson, Statistical Theory of the Energy Levels of Complex Systems, 1963.

M. Raissi et al., Physics-informed neural networks, J. Comput. Phys., 2019.

[aimarketresearch]

Middle East and Africa Quantum Computing Market Size, Share, Trends, Key Drivers, Growth Opportunities and Competitive Outlook

Middle East and Africa Quantum Computing Market  - Size, Share, Demand, Industry Trends and Opportunities

Middle East and Africa Quantum Computing Market, By System (Single Qubit Quantum System, Multiple Qubit System), Qubits (Trapped Ion Qubits, Semiconductor Qubits and Super Conducting), Offering (Systems, Services), Deployment Model (On-Premises, Cloud), Component (Hardware, Software and Services), Application (Cryptography, Simulation, Parallelism, Machine Learning, Algorithms, Others), Logic Gates (Toffoli Gate, Hadamard Gate, Pauli Logic Gates and Others), Verticals (Banking And Finance, Healthcare and Pharmaceuticals, Defense, Automotive, Chemical, Utilities, Others), Country (South Africa, U.A.E, Israel, Egypt, Saudi Arabia and Rest of Middle East and Africa) Industry Trends.

Get the PDF Sample Copy (Including FULL TOC, Graphs and Tables) of this report @

**Segments**

The Middle East and Africa quantum computing market is expected to witness significant growth over the forecast period. The market can be segmented based on components, applications, and end-users. In terms of components, the market can be divided into hardware, software, and services. Hardware components include quantum processors, quantum memory, and quantum gates, among others. Software components encompass quantum algorithms and quantum software development kits (SDKs). Services segment consists of consulting, training, and maintenance services related to quantum computing technologies.

Moving on to applications, the Middle East and Africa quantum computing market can be categorized into cybersecurity, optimization, machine learning, simulation, and others. Quantum computing is increasingly being utilized in cybersecurity to enhance encryption techniques and secure sensitive data. Optimization applications include supply chain management, logistics, and financial portfolio optimization. Machine learning is another key application area where quantum computing can significantly improve complex algorithms and predictive modeling. Furthermore, simulation applications involve quantum simulations for material design, drug discovery, and weather forecasting, among others.

When considering end-users, the market can be segmented into healthcare, BFSI (Banking, Financial Services, and Insurance), aerospace and defense, energy and utilities, and others. The healthcare sector is exploring quantum computing for personalized medicine, genomics, and drug discovery applications. The BFSI industry is leveraging quantum computing for risk management, fraud detection, and algorithmic trading. Aerospace and defense companies are utilizing quantum computing for advanced simulations, cryptography, and satellite communications. Energy and utilities sector are adopting quantum computing for grid optimization, renewable energy integration, and predictive maintenance.

**Market Players**

- IBM Corporation - D-Wave Systems Inc. - Rigetti & Co, Inc. - Google LLC - Microsoft Corporation - Intel Corporation - Anyon Systems Inc. - QC Ware Corp - IonQ Inc.

The Middle East and Africa quantum computing market is witnessing increased investments in research and development activities, strategic partnerships, and collaborations among key market players. IBM Corporation, a prominent player in the quantum computing space, has been focusing on advancing quantum hardware and software capabilities. D-Wave Systems Inc., known for its quantum annealing technology, has been expanding its presence in the region through partnerships with local organizations. Rigetti & Co, Inc. has been making significant advancements in superconducting quantum processors, attracting attention from various industries. Google LLC and Microsoft Corporation are also actively involved in quantum computing research and development, driving innovation in the market.

Market players such as Intel Corporation, Anyon Systems Inc., QC Ware Corp, and IonQ Inc. are contributing to the growth of the Middle East and Africa quantum computing market through their technological expertise and product offerings. These companies are focusing on addressing the specific requirements of industries such as healthcare, BFSI, aerospace and defense, and energy and utilities. With the increasing demand for quantum computing solutions in the region, market players are expected to continue investing in expanding their product portfolios and enhancing their capabilities to cater to diverse end-user needs.

Overall, the Middle East and Africa quantum computing market presents significant growth opportunities driven by the increasing adoption of quantum technologies across various industries. The market players are playing a crucial role in driving innovation, developing advanced solutions, and expanding their market presence through strategic initiatives. As the market continues to evolve, collaborations, partnerships, and investments in research and development will be key factors influencing the competitive landscape and growth trajectory of the quantum computing market in the region.

Access Full 350 Pages PDF Report @

Key points covered in the report: -

The pivotal aspect considered in the Middle East and Africa Quantum Computing Market report consists of the major competitors functioning in the market.

The report includes profiles of companies with prominent positions in the market.

The sales, corporate strategies and technical capabilities of key manufacturers are also mentioned in the report.

The driving factors for the growth of the Middle East and Africa Quantum Computing Market are thoroughly explained along with in-depth descriptions of the industry end users.

The report also elucidates important application segments of the market to readers/users.

This report performs a SWOT analysis of the market. In the final section, the report recalls the sentiments and perspectives of industry-prepared and trained experts.

The experts also evaluate the export/import policies that might propel the growth of the Middle East and Africa Quantum Computing Market.

The Middle East and Africa Quantum Computing Market report provides valuable information for policymakers, investors, stakeholders, service providers, producers, suppliers, and organizations operating in the industry and looking to purchase this research document.

Reasons to Buy:

Review the scope of the Middle East and Africa Quantum Computing Market with recent trends and SWOT analysis.

Outline of market dynamics coupled with market growth effects in coming years.

Middle East and Africa Quantum Computing Market segmentation analysis includes qualitative and quantitative research, including the impact of economic and non-economic aspects.

Middle East and Africa Quantum Computing Market and supply forces that are affecting the growth of the market.

Market value data (millions of US dollars) and volume (millions of units) for each segment and sub-segment.

and strategies adopted by the players in the last five years.

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[govindhtech]

Earth Engine in BigQuery: A New Geospatial SQL Analytics

BigQuery Earth Engine

With Earth Engine directly integrated into BigQuery, Google Cloud has expanded its geographic analytics capabilities. Incorporating powerful raster analytics into BigQuery, this new solution from Google Cloud Next '25 lets SQL users analyse satellite imagery-derived geographical data.

Google Cloud customers prefer BigQueryfor storing and accessing vector data, which represents buildings and boundaries as points, lines, or polygons. Earth Engine in BigQuery is suggested for processing and storing raster data like satellite imagery, which encodes geographic information as a grid of pixels with temperature, height, and land cover values.

“Earth Engine in BigQuery” mixes vector and raster analytics. This integration could improve access to advanced raster analysis and help solve real-world business problems.

Key features driving this integration:

BigQuery's new geography function is ST_RegionStats. This program extracts statistics from raster data inside geographic borders, similar to Earth Engine's reduceRegion function. Use an Earth Engine-accessible raster picture and a geographic region (vector data) to calculate mean, min, max, total, or count for pixels that traverse the geography.

BigQuery Sharing, formerly Analytics Hub, now offers Earth Engine in BigQuery datasets. This makes it easy to find data and access more datasets, many of which are ready for processing to obtain statistics for a region of interest. These datasets may include risk prediction, elevation, or emissions. Raster analytics with this new feature usually has five steps:

Find vector data representing interest areas in a BigQuery table.

In BigQuery image assets, Cloud GeoTiff, or BigQuery Sharing, locate a raster dataset that was created using Earth Engine.

Use ST_RegionStats() with the raster ID, vector geometries, and optional band name to aggregate intersecting data.

To understand, look at ST_RegionStats() output.

Use BigQuery Geo Viz to map analysis results.

This integration enables data-driven decision-making in sustainability and geographic application cases:

Climate, physical risk, and disaster response: Using drought, wildfire, and flood data in transportation, infrastructure, and urban design. For instance, using the Wildfire hazard to Communities dataset to assess wildfire risk or the Global River Flood Hazard dataset to estimate flood risk.

Assessing land-use, elevation, and cover for agricultural evaluations and supply chain management. This includes using JRC Global Forest Cover datasets or Forest Data Partnership maps to determine if commodities are grown in non-deforested areas.

Methane emissions monitoring: MethaneSAT L4 Area Sources data can identify methane emission hotspots from minor, distributed sources in oil and gas basins to enhance mitigation efforts.

Custom use cases: Supporting Earth Engine raster dataset imports into BigQuery image assets or Cloud Storage GeoTiffs.

BigQuery Sharing contains ST_RegionStats()'s raster data sources, where the assets.image.href column normally holds the raster ID for each image table. Cloud Storage GeoTIFFs in the US or US-central1 regions can be used with URIs. Earth Engine image asset locations like ‘ee://IMAGE_PATH’ are supported in BigQuery.

ST_RegionStats()'s include option lets users adjust computations by assigning pixel weights (0–1), with 0 representing missing data. Unless otherwise specified, pixels are weighted by geometry position. Raster pixel size, or scale, affects calculation and output. Changing scale (e.g., using options => JSON ‘{“scale”: 1000}’) can reduce query runtime and cost for prototyping, but it may impact results and should not be used for production analysis.

ST_RegionStats() is charged individually under BigQuery Services since Earth Engine calculates. Costs depend on input rows, raster picture quality, input geography size and complexity, crossing pixels, image projection, and formula usage. Earth Engine quotas in BigQuery slot time utilisation can be changed to control expenses.

Currently, ST_RegionStats() queries must be run in the US, us-central1, or us-central2.

This big improvement in Google Cloud's geospatial analytics provides advanced raster capabilities and improves sustainability and other data-driven decision-making.

[nuadox]

New ferroelectric device performs in memory calculations and could boost energy efficiency for edge computing

- By Nuadox Crew -

A new study in Nature Communications introduces a device called an in-memory ferroelectric differentiator that can do calculations right inside the memory itself.

This means it doesn’t need a separate processor, which saves a lot of energy—especially useful for devices like smartphones, self-driving cars, and security cameras.

Most computers today use a design where memory and processors are separate. This setup wastes energy and slows things down because data constantly has to move back and forth. The researchers solved this by using ferroelectric materials, which can store data even when the power is off and create electric signals when their internal structure changes.

They built a tiny 40×40 grid made up of 1,600 of these materials, which lets the device act as both memory and processor. It can handle tasks like motion detection and video analysis directly in memory, without needing extra steps.

This device is also extremely energy-efficient, using just 0.24 femtojoules per calculation—up to a million times more efficient than today’s CPUs or GPUs.

Since it works with current chip technology and can be scaled up, it could lead to big improvements in edge computing and real-time tasks like processing medical signals or even solving math problems directly in hardware.

Image: A demonstration of how ferroelectric domain switching enables differential computations. Credit: Prof. Bobo Tian.

Header image credit: Microsoft Copilot (AI-generated)

Read more at Tech Xplore

Scientific paper: Guangdi Feng et al, In-memory ferroelectric differentiator, Nature Communications (2025). DOI: 10.1038/s41467-025-58359-4

Related Content

Microsoft’s new AI model runs on regular CPUs using energy-saving 1-bit architecture

Other Recent News

ETH Zurich researchers develop method to improve AI reliability with smaller models and data selection algorithm.

The 'Periodic Table of Machine Learning' framework integrates AI models to speed up innovation.

[tccicomputercoaching]

Learn How to make Responsive Website

Creating a responsive website involves designing and developing a website that adapts to different screen sizes and devices, providing an optimal viewing experience for users. Here’s a step-by-step guide to making a responsive website:

Use a Responsive Grid Layout

CSS Grid or Flexbox: Utilize CSS Grid or Flexbox to create flexible and responsive layouts. These CSS tools allow you to arrange elements in a grid or flexible boxes that adjust to the screen size.

Fluid Grid System: Instead of fixed-width layouts, use a fluid grid system where the widths of the columns are defined in percentages rather than pixels.

Flexible Images and Media

Responsive Images: Ensure images scale with the screen size by setting their maximum width to 100% (img { max-width: 100%; height: auto; }).

CSS Media Queries: Use media queries to apply different styles based on the screen size. This allows you to serve appropriately sized images and styles for various devices.

Media Queries

Define Breakpoints: Set breakpoints using media queries to apply different styles at specific screen widths. For example:

css

Copy code

@media (max-width: 768px) {

  /* Styles for tablets and mobile devices */

}

@media (max-width: 480px) {

  /* Styles for mobile devices */

}

Adjust Layouts: Change the layout (e.g., switch from multi-column to single-column) or hide/show elements based on the screen size.

Responsive Typography

Flexible Font Sizes: Use relative units like em or rem for font sizes instead of pixels, allowing text to scale based on screen size.

Viewport Units: Consider using viewport-based units (vw, vh) for font sizes to make text responsive to the screen size.

Mobile-First Approach

Design for Mobile First: Start by designing for smaller screens, then use media queries to progressively enhance the design for larger screens. This ensures a solid foundation for mobile users.

Simplified Layouts: Prioritize content and use a simplified layout for mobile devices, reducing unnecessary elements that could clutter the screen.

Responsive Navigation

Hamburger Menu: For mobile screens, replace traditional navigation bars with a hamburger menu to save space and improve usability.

Dropdown Menus: Use dropdown menus that are easy to navigate on smaller screens.

Test on Multiple Devices

Browser Developer Tools: Use developer tools in browsers to test the responsiveness of your website on different screen sizes.

Real Devices: Test on actual devices (smartphones, tablets, desktops) to ensure the website works well across all platforms.

Optimize Performance

Minimize File Sizes: Compress images and minify CSS/JS files to reduce load times, which is crucial for mobile users.

Lazy Loading: Implement lazy loading for images and other media to improve page load times, especially on mobile devices.

CSS Frameworks

Bootstrap: Consider using a responsive CSS framework like Bootstrap, which comes with pre-built responsive components and grid systems.

Tailwind CSS: Another option is Tailwind CSS, which allows you to build custom designs with responsive utility classes.

Accessibility Considerations

Touch-Friendly Elements: Ensure buttons and interactive elements are large enough to be easily tapped on touchscreens.

Responsive Tables: Make tables responsive by using overflow-x: auto; or breaking them into smaller components for small screens.

By following these steps, you can create a website that looks and works well on any device, providing a seamless user experience across different screen sizes.

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[nidhi0]

Automated Energy Management Supports IoT in Energy & Utility Application Market Growth

According to Inkwood Research, the Global IoT in Energy & Utility Application Market is anticipated to surge with a CAGR of 10.58% during the forecast period, 2024-2032.

VIEW TABLE OF CONTENTS: https://inkwoodresearch.com/reports/iot-in-energy-and-utility-application-market/#table-of-contents

IoT has introduced numerous benefits to the utility industry. Smart technologies offer remote control options, help in utility management, reduce costs, solve resource depletion, and increase safety. Further, extensive applications of IoT in the utility sector create opportunities for effective monitoring and managing of energy, improving operational and safety efficiency, and ensuring economical use of natural resources. In addition, IoT solutions can improve the efficiency of water management systems. The automated water consumption control helps reduce costs, timely identification of leaks, and extensive use of water-flow meters.

REQUEST FREE SAMPLE: https://inkwoodresearch.com/reports/iot-in-energy-and-utility-application-market/#request-free-sample

Automation Tool Demands in Energy Management Aid Market Growth

Digitalization and automation will be critical to capitalize on the shift from conservative regulations to an innovative and service-based future. Technologies, such as automation and artificial intelligence (AI), play a pivotal role in managing the balance between demand and supply, discovering innovative ways to enhance customer experience, boost value chain efficiencies, and transform business models. 

Improvement in operational efficiency is a primary driver of the energy & utility application business. Moreover, organizations are seeking ways to cut operational costs while enhancing efficiency. Therefore, building an analytics infrastructure provides various benefits, including improved visibility and cost management, allowing businesses to cut operating expenses while enhancing efficiency.

Electricity Grid & Supply Management Leading Market by End-User

The power industry is the base of the industrial world, supplying industrial, commercial, residential, and manufacturing customers with essential energy. The electricity sector faces significant challenges adjusting to the surging demand for electrical power, a continually growing industry. The IoT opens a smart reality to the utility industry, optimizing operating inefficiency to streamline costs. Also, IoT includes three main elements to manage the interconnected assets network: asset data collection, computational algorithms, and asset digitalization. These components can further improve the performance and efficiency of the power grid.

In addition, obtaining data from different sensors enhances the grid’s resilience. Thus, power companies can manage resources efficiently based on the information collected from assets, usage, and power generation. Electric power companies implement IoT to lower costs, reduce unscheduled downtime, improve efficiency, and minimize asset risks.

Asia-Pacific: Fastest-Growing Region

Asia-Pacific will produce many IoT applications in the upcoming years because of its abundant local access to low-cost hardware & software and less legacy technology to shed. By replicating successful IoT projects of Europe and other regions and capitalizing on the low-cost technology available, Asia-Pacific has the potential to become the largest user of industrial and enterprise IoT during the forecast years, paving the way for the region to become the world’s largest IoT market.

The leading players have penetrated and possessed the market with successful strategies to develop new and differentiated products that will likely increase their opportunities. These strategic innovations have resulted in a very high industry rivalry.

Further, the threat of new entry is considered moderate in the market as big data analytics for the energy and utility sector poses relatively low barriers to entry for new players. New players have played a major role in driving innovation in the market. 

Some of the key players in the global IoT in energy & utility application market include Siemens Aktiengesellschaft, Schneider Electric SE, SAS Institute INC, General Electric Company, SAP SE, etc.

Request for Customization: https://inkwoodresearch.com/request-for-custom-report/

About Inkwood Research

Inkwood Research specializes in syndicated & customized research reports and consulting services. Market intelligence studies with relevant fact-based research are customized across industry verticals such as technology, automotive, chemicals, materials, healthcare, and energy, with an objective comprehension that acknowledges the business environments. Our geographical analysis comprises North & South America, CEE, CIS, the Middle East, Europe, Asia, and Africa.

Related Reports

GLOBAL VIRTUAL POWER PLANT MARKET : https://inkwoodresearch.com/reports/virtual-power-plant-market/

GLOBAL VIRTUAL PIPELINE SYSTEMS MARKET: https://inkwoodresearch.com/reports/virtual-pipeline-systems-market/

GLOBAL ENERGY RETROFIT SYSTEM MARKET: https://inkwoodresearch.com/reports/energy-retrofit-systems-market-forecast/

Contact Us

https://www.inkwoodresearch.com

sales@inkwoodresearch.com

1-(857) 293-0150

[amey-inkwood]

Automated Energy Management Supports Global IoT in Energy & Utility Application Market Growth

“Browse 73 Market Data Tables and 60 Figures spread over 230 Pages, along with an in-depth analysis of the Global IoT in Energy & Utility Application Market Forecast 2024-2032.”

VIEW TABLE OF CONTENTS: https://inkwoodresearch.com/iot-in-energy-and-utility-application-market-insights/

IoT has introduced numerous benefits to the utility industry. Smart technologies offer remote control options, help in utility management, reduce costs, solve resource depletion, and increase safety. Further, extensive applications of IoT in the utility sector create opportunities for effective monitoring and managing of energy, improving operational and safety efficiency, and ensuring economical use of natural resources. In addition, IoT solutions can improve the efficiency of water management systems. The automated water consumption control helps reduce costs, timely identification of leaks, and extensive use of water-flow meters.

REQUEST FREE SAMPLE

Automation Tool Demands in Energy Management Aid Market Growth

Digitalization and automation will be critical to capitalize on the shift from conservative regulations to an innovative and service-based future. Technologies, such as automation and artificial intelligence (AI), play a pivotal role in managing the balance between demand and supply, discovering innovative ways to enhance customer experience, boost value chain efficiencies, and transform business models.

Improvement in operational efficiency is a primary driver of the energy & utility application business. Moreover, organizations are seeking ways to cut operational costs while enhancing efficiency. Therefore, building an analytics infrastructure provides various benefits, including improved visibility and cost management, allowing businesses to cut operating expenses while enhancing efficiency.

Electricity Grid & Supply Management Leading Market by End-User

The power industry is the base of the industrial world, supplying industrial, commercial, residential, and manufacturing customers with essential energy. The electricity sector faces significant challenges adjusting to the surging demand for electrical power, a continually growing industry. The IoT opens a smart reality to the utility industry, optimizing operating inefficiency to streamline costs. Also, IoT includes three main elements to manage the interconnected assets network: asset data collection, computational algorithms, and asset digitalization. These components can further improve the performance and efficiency of the power grid.

In addition, obtaining data from different sensors enhances the grid’s resilience. Thus, power companies can manage resources efficiently based on the information collected from assets, usage, and power generation. Electric power companies implement IoT to lower costs, reduce unscheduled downtime, improve efficiency, and minimize asset risks.

Asia-Pacific: Fastest-Growing Region

Asia-Pacific will produce many IoT applications in the upcoming years because of its abundant local access to low-cost hardware & software and less legacy technology to shed. By replicating successful IoT projects of Europe and other regions and capitalizing on the low-cost technology available, Asia-Pacific has the potential to become the largest user of industrial and enterprise IoT during the forecast years, paving the way for the region to become the world’s largest IoT market.

The leading players have penetrated and possessed the market with successful strategies to develop new and differentiated products that will likely increase their opportunities. These strategic innovations have resulted in a very high industry rivalry. Further, the threat of new entry is considered moderate in the market as big data analytics for the energy and utility sector poses relatively low barriers to entry for new players. New players have played a major role in driving innovation in the market.

Some of the key players in the global IoT in energy & utility application market include Siemens Aktiengesellschaft, Schneider Electric SE, SAS Institute INC, General Electric Company, SAP SE, etc.

Request for Customization: https://inkwoodresearch.com/request-for-custom-report/

About Inkwood Research

Inkwood Research specializes in syndicated & customized research reports and consulting services. Market intelligence studies with relevant fact-based research are customized across industry verticals such as technology, automotive, chemicals, materials, healthcare, and energy, with an objective comprehension that acknowledges the business environments. Our geographical analysis comprises North & South America, CEE, CIS, the Middle East, Europe, Asia, and Africa.

Contact Us

sales@inkwoodresearch.com

1-(857) 293-0150

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GLOBAL VIRTUAL POWER PLANT MARKET: https://inkwoodresearch.com/reports/virtual-power-plant-market/  

GLOBAL VIRTUAL PIPELINE SYSTEMS MARKET: https://inkwoodresearch.com/reports/virtual-pipeline-systems-market/  

GLOBAL ENERGY RETROFIT SYSTEM MARKET: https://inkwoodresearch.com/reports/energy-retrofit-systems-market-forecast/

[scopethings-blog]

Scope Computers

AutoCAD Training

(Admission Open Come & join Now)

AutoCAD is a comprehensive computer-aided design (CAD) software developed by Autodesk. It is widely used by architects, engineers, drafters, and designers to create precise 2D and 3D drawings. AutoCAD's robust toolset and versatility make it a preferred choice for various design and drafting applications.

### Key Features:

1. **2D Drafting and Drawing:**

- **Drawing Tools:** Lines, arcs, circles, polygons, and more.

- **Annotation:** Text, dimensions, leaders, and tables for detailing designs.

- **Layers and Blocks:** Organize and reuse drawing components.

2. **3D Modeling:**

- **Solid, Surface, and Mesh Modeling:** Create and edit 3D models.

- **Visualization Tools:** Realistic rendering and shading.

3. **Customization and Automation:**

- **LISP, VBA, and AutoLISP:** Automate repetitive tasks and customize workflows.

- **APIs:** Access to .NET, ObjectARX, and JavaScript for advanced customizations.

4. **Collaboration and Sharing:**

- **DWG File Format:** Industry-standard format for drawings.

- **Xrefs and External References:** Manage complex projects with multiple files.

- **Cloud Integration:** Share and collaborate on designs through Autodesk’s cloud services.

5. **Precision and Accuracy:**

- **Snap and Grid Tools:** Ensure exact placement of elements.

- **Coordinate System:** Use Cartesian and polar coordinates for precision.

6. **Interoperability:**

- **Import/Export Options:** Compatibility with various file formats like DXF, DWF, PDF, and more.

- **Integration with Other Autodesk Products:** Seamless workflow with Revit, Inventor, and other software.

7. **User Interface:**

- **Customizable Workspaces:** Tailor the interface to suit specific tasks or personal preferences.

- **Command Line and Ribbon Interface:** Quick access to tools and commands.

### Applications:

- **Architecture:** Create detailed floor plans, elevations, and sections.

- **Engineering:** Design mechanical parts, electrical schematics, and civil infrastructure.

- **Construction:** Generate construction documents and site plans.

- **Manufacturing:** Draft components and assemblies for production.

AutoCAD remains a powerful tool in various industries due to its precision, versatility, and ability to handle complex designs. Its continuous updates and improvements ensure it meets the evolving needs of design professionals.

[bitcofunblog]

Table of ContentsExploring the Integration of Blockchain Technology in IoT for Enhanced Machine-to-Machine CommunicationThe Future of IoT Security: Implementing Blockchain for Trustworthy Machine-to-Machine TransactionsAdvancements in Decentralized Networks: The Role of Blockchain in Facilitating Autonomous Machine-to-Machine Interactions in IoT SystemsConclusion"Empowering Autonomous Interactions: Seamless Blockchain-Driven IoT Connectivity"Blockchain-based machine-to-machine (M2M) communication represents a paradigm shift in how devices interact in the Internet of Things (IoT) ecosystems. By leveraging blockchain technology, M2M communication can occur in a decentralized, secure, and trustless environment, which is a significant departure from traditional centralized systems. The integration of blockchain into IoT facilitates direct interactions between devices without the need for intermediaries. This is achieved through the use of distributed ledgers that record transactions in a tamper-resistant way. Each transaction or communication is verified by the network and then added to the blockchain, ensuring data integrity and traceability. Smart contracts, which are self-executing contracts with the terms of the agreement directly written into code, further enhance M2M communications. They enable devices to perform transactions and make decisions autonomously when certain conditions are met, thus creating a highly automated and efficient IoT ecosystem. Blockchain-based M2M communication offers several advantages, including improved security through encryption and consensus algorithms, increased transparency with an immutable record of interactions, and reduced operational costs by eliminating the need for central authorities. These features make blockchain an attractive technology for various IoT applications, such as supply chain management, smart grids, and autonomous vehicles, where secure and reliable M2M communication is crucial.Exploring the Integration of Blockchain Technology in IoT for Enhanced Machine-to-Machine CommunicationBlockchain-based machine to machine communications and IoT The integration of blockchain technology into the Internet of Things (IoT) is revolutionizing the way machines communicate with each other. By leveraging the inherent security and transparency features of blockchain, IoT networks are becoming more robust, autonomous, and efficient, paving the way for a new era of machine-to-machine (M2M) communication. At the heart of this transformation is the need for a secure and reliable method to facilitate transactions and data exchanges between devices without the need for a central authority. Traditional centralized systems are often vulnerable to attacks and outages, which can compromise the integrity of M2M communications. Blockchain technology, with its decentralized nature, offers a compelling solution to these challenges. Blockchain operates as a distributed ledger that records transactions across many computers so that the record cannot be altered retroactively without the alteration of all subsequent blocks and the consensus of the network. This level of security is particularly beneficial for IoT devices, which are frequently targeted by cyberattacks due to their often weak security protocols. Moreover, blockchain enables smart contracts, which are self-executing contracts with the terms of the agreement directly written into code. These contracts automatically enforce and execute the agreed-upon terms when certain conditions are met, without the need for intermediaries. In the context of IoT, smart contracts can be used to create agreements between devices, allowing for automated, trustless M2M interactions. For instance, consider a supply chain scenario where IoT sensors monitor the temperature of a perishable product during transit. If the temperature deviates from the agreed range, a smart contract could automatically trigger a response, such as notifying the supplier or adjusting the temperature control system.

This level of automation not only enhances efficiency but also reduces the potential for human error. Furthermore, blockchain can facilitate micropayments between devices, enabling new business models for IoT services. Devices can autonomously conduct transactions, paying for services or resources on a per-use basis. This could lead to a more granular and flexible pricing model for IoT services, where users only pay for what they consume. The integration of blockchain into IoT also addresses concerns regarding data privacy and ownership. With blockchain, data generated by IoT devices can be securely recorded and managed, giving users greater control over their data. Users can decide who has access to their data and under what conditions, ensuring that their privacy is maintained. However, the adoption of blockchain in IoT is not without its challenges. The scalability of blockchain networks is a significant concern, as the current technology may struggle to handle the vast amount of data generated by billions of IoT devices. Additionally, the energy consumption associated with blockchain's consensus mechanisms, such as proof of work, is at odds with the energy-efficient ethos of many IoT applications. Despite these challenges, the potential benefits of blockchain-based M2M communication in IoT are too significant to ignore. As blockchain technology continues to mature, we can expect to see more innovative solutions that address these issues, further enhancing the capabilities of IoT networks. In conclusion, the integration of blockchain technology into IoT is set to transform M2M communication, offering unprecedented levels of security, efficiency, and autonomy. As we move towards an increasingly connected world, the synergy between blockchain and IoT holds the promise of creating more intelligent, responsive, and self-sustaining systems that will underpin the next wave of technological advancement.The Future of IoT Security: Implementing Blockchain for Trustworthy Machine-to-Machine TransactionsThe Future of IoT Security: Implementing Blockchain for Trustworthy Machine-to-Machine Transactions In the rapidly evolving landscape of the Internet of Things (IoT), the security of machine-to-machine (M2M) communications stands as a critical concern. With billions of devices interconnected and exchanging data, the potential for vulnerabilities is vast. However, the integration of blockchain technology into M2M interactions promises a paradigm shift in how we approach IoT security, offering a robust solution to the trust challenges that have long plagued these networks. Blockchain, at its core, is a distributed ledger technology that maintains a secure and immutable record of transactions across a network of computers. This characteristic of decentralization inherently reduces the single points of failure, making it significantly more difficult for malicious actors to compromise the integrity of the data. In the context of IoT, blockchain can be leveraged to create a transparent and verifiable system for devices to communicate, authenticate, and transact with one another without the need for a central authority. The application of blockchain in IoT security is multifaceted. Firstly, it enables the creation of a tamper-proof log of all M2M interactions. This immutable record ensures that any attempt at data manipulation can be easily detected, thereby deterring potential attacks. Moreover, blockchain's cryptographic algorithms facilitate secure identity verification for devices, ensuring that only authorized machines can join and operate within the network. This level of security is paramount in scenarios where critical infrastructure, such as power grids or transportation systems, relies on the seamless and secure exchange of information between devices. Furthermore, blockchain technology can streamline the process of managing and updating IoT devices. By utilizing smart contracts – self-executing contracts with the terms of

the agreement directly written into code – updates and patches can be automatically distributed and applied across the network, ensuring that all devices are operating with the latest security measures. This not only enhances the overall security posture but also reduces the administrative burden and potential for human error. Another significant advantage of implementing blockchain in IoT is the facilitation of microtransactions. As IoT ecosystems become more complex, devices may need to conduct transactions with one another, such as purchasing energy or bandwidth. Blockchain enables these transactions to occur seamlessly and with minimal transaction fees, fostering new economic models for IoT services and applications. Despite these advantages, the integration of blockchain into IoT is not without its challenges. The scalability of blockchain networks, for instance, must be addressed to handle the vast number of transactions that large-scale IoT systems generate. Additionally, the energy consumption associated with blockchain's consensus mechanisms, such as proof of work, is a concern that needs to be mitigated to ensure the sustainability of these solutions. In conclusion, the implementation of blockchain technology in machine-to-machine communications heralds a new era for IoT security. By providing a secure, decentralized platform for devices to interact, blockchain not only enhances the trustworthiness of these transactions but also opens up a realm of possibilities for autonomous and economic interactions between machines. As the technology continues to mature, it is poised to become an integral component of the IoT infrastructure, ensuring that the networks of tomorrow are not only smarter but also significantly more secure. The journey towards a blockchain-enabled IoT ecosystem is complex, yet the potential rewards for security, efficiency, and innovation are too compelling to ignore.Advancements in Decentralized Networks: The Role of Blockchain in Facilitating Autonomous Machine-to-Machine Interactions in IoT SystemsIn the rapidly evolving landscape of the Internet of Things (IoT), the seamless interaction between devices is paramount to the realization of a fully autonomous and interconnected digital ecosystem. The integration of blockchain technology into this domain is revolutionizing the way machines communicate, transact, and collaborate with one another, heralding a new era of decentralized networks that promise enhanced security, trust, and efficiency. Blockchain, at its core, is a distributed ledger technology that enables secure, transparent, and tamper-proof record-keeping. By leveraging blockchain in IoT systems, machine-to-machine (M2M) communications are elevated to a level where devices can autonomously verify and trust the data exchanged without the need for centralized intermediaries. This paradigm shift not only reduces the potential for single points of failure but also mitigates the risks associated with data breaches and cyber-attacks. One of the most significant advantages of blockchain-based M2M communication is the facilitation of secure and automated transactions. Smart contracts, which are self-executing contracts with the terms of the agreement directly written into code, play a pivotal role in this process. They enable devices to conduct transactions and agreements among themselves as soon as certain predefined conditions are met, without human intervention. This automation of contractual processes not only streamlines operations but also ensures that the terms of the contract are unalterable once deployed, thereby fostering trust among participating entities. Furthermore, blockchain's inherent characteristics of decentralization and transparency are instrumental in creating a reliable audit trail of device interactions. Each transaction between IoT devices is recorded on the blockchain, providing an immutable history that can be verified by any participant in the network. This level

of traceability is crucial for applications where provenance and authenticity are of utmost importance, such as in supply chain management or quality assurance in manufacturing. The integration of blockchain into IoT also addresses the challenge of scalability. Traditional centralized systems often struggle to cope with the vast amount of data generated by the multitude of IoT devices. Blockchain networks, on the other hand, can distribute the workload across multiple nodes, ensuring that the system can scale effectively as the number of devices grows. This distributed approach not only enhances the capacity of IoT networks but also ensures that they remain resilient in the face of growing demands. Moreover, the use of blockchain in M2M communications opens up new avenues for innovative business models and revenue streams. For instance, IoT devices can engage in microtransactions, autonomously buying and selling data or services on a per-use basis. This could lead to the development of decentralized marketplaces for data, where devices can monetize the information they generate, fostering a more efficient and dynamic IoT ecosystem. In conclusion, the role of blockchain in facilitating autonomous M2M interactions in IoT systems is a testament to the transformative potential of decentralized networks. By providing a secure, transparent, and scalable framework for device communication, blockchain technology is not only enhancing the operational capabilities of IoT but also paving the way for a future where machines can interact with each other with unprecedented levels of autonomy and trust. As we continue to witness the convergence of these cutting-edge technologies, it is clear that the implications for businesses, consumers, and society at large are profound, setting the stage for a more interconnected and intelligent world.ConclusionBlockchain technology has the potential to significantly enhance machine-to-machine (M2M) communication within the Internet of Things (IoT) ecosystem. By providing a decentralized and secure ledger, blockchain can facilitate trustless interactions between devices, automate processes through smart contracts, and ensure data integrity and provenance. This can lead to increased efficiency, reduced costs, and improved security in IoT networks. However, challenges such as scalability, energy consumption, and integration with existing systems must be addressed to fully realize the benefits of blockchain in M2M communications.

[al-muna-tools]

Essential Hardware Tools: Innovations Shaping the Future of Engineering and DIY Projects

In the ever-evolving landscape of engineering and DIY projects, the tools we use are as crucial as the skills we bring to the table. With advancements in technology, hardware tools are becoming smarter, more efficient, and increasingly user-friendly. This article explores the latest innovations in hardware tools that are shaping the future of engineering and DIY projects, offering enthusiasts and professionals alike new ways to enhance their work.

Smart Tools for Precision and Efficiency

Laser Measuring Tools

Laser measuring tools have revolutionized the way we take measurements. With just a point and click, these tools can measure distances, areas, and even volumes with incredible accuracy. They are indispensable in construction, interior design, and any field where precise measurements are critical.

Power Tools: Enhancing Capability and Safety

Cordless Power Tools

The advent of high-capacity lithium-ion batteries has made cordless power tools more powerful and longer-lasting. From drills to saws, these tools offer the freedom of movement without the hassle of cords, making them ideal for both professional and home use.

Smart Power Tools

Smart power tools equipped with Bluetooth and Wi-Fi connectivity allow users to monitor usage, receive maintenance alerts, and even control settings via smartphone apps. This connectivity ensures tools are always performing at their best, reducing downtime and improving overall efficiency.

Advanced Safety Features

Modern power tools now come with enhanced safety features such as automatic shutoff, anti-kickback mechanisms, and improved ergonomics to reduce user fatigue. These advancements not only make tools safer to use but also increase productivity by minimizing accidents.

Innovative Hand Tools for Better Control

Ergonomic Designs

Hand tools with ergonomic designs reduce strain and increase comfort during use. Tools like pliers, screwdrivers, and wrenches now come with handles that fit the natural grip of the hand, minimizing fatigue and enhancing control.

Multi-functional Tools

Multi-functional hand tools combine several functions into one, saving space and time. For example, a single tool may function as a hammer, wrench, and screwdriver. These versatile tools are perfect for DIY enthusiasts who need to carry fewer tools while tackling diverse tasks.

Cutting-Edge Diagnostic Tools

Thermal Imaging Cameras

Thermal imaging cameras are invaluable for diagnosing electrical issues, plumbing leaks, and insulation problems. These cameras detect heat variations, allowing users to identify problems that are invisible to the naked eye, thus preventing potential failures before they occur.

Advanced Multimeters

Modern multimeters can measure a range of electrical properties such as voltage, current, and resistance with high accuracy. Some advanced models also offer features like data logging and connectivity to computers or smartphones for detailed analysis.

Sustainable and Eco-Friendly Tools

As global awareness of environmental issues grows, the demand for sustainable and eco-friendly tools is increasing. Innovations in this area are providing green alternatives without sacrificing performance. Here, we delve deeper into the latest trends and developments in sustainable hardware tools.

Solar-Powered Tools

Harnessing the power of the sun, solar-powered tools are transforming the way we approach various tasks, particularly in remote or off-grid locations.

Applications and Benefits

Solar-Powered Lights: Ideal for construction sites, camping, and outdoor projects, these lights offer reliable illumination without the need for electrical outlets. Modern solar-powered lights come with efficient LEDs and long-lasting batteries, ensuring they perform well even on cloudy days.

Solar Chargers: These devices can charge batteries for power tools, mobile phones, and other gadgets, making them indispensable for outdoor enthusiasts and professionals working in remote areas. Solar chargers reduce dependency on grid electricity and are perfect for emergency preparedness kits.

Solar-Powered Power Tools: Although still emerging, some power tools now incorporate solar technology, either directly or via solar-charged batteries. These tools are particularly useful for fieldwork, reducing the need for fossil fuel generators and lowering carbon footprints.

Innovations and Future Trends

Improved Efficiency: Advancements in photovoltaic technology are leading to more efficient solar panels that can capture and convert more sunlight into usable energy, even in less-than-ideal conditions.

Integration with Smart Technology: Future solar-powered tools are expected to feature smart technology, enabling users to monitor energy usage, battery levels, and solar efficiency through connected devices.

Durability and Portability: Design improvements are making solar-powered tools more rugged and portable, ensuring they can withstand tough working conditions and be easily transported to different job sites.

Benefits and Impact

Waste Reduction: Using recycled materials helps divert waste from landfills and reduces the need for raw material extraction, which is often environmentally damaging.

Energy Savings: Manufacturing with recycled materials typically consumes less energy compared to producing new materials, leading to a reduction in greenhouse gas emissions.

Circular Economy Support: By promoting the use of recycled materials, manufacturers contribute to a circular economy where products are designed to be reused, remanufactured, or recycled, thereby extending their lifecycle and conserving resources.

Conclusion

The future of engineering and DIY projects is bright, thanks to continuous innovations in hardware tools. From precision digital tools to smart power tools and sustainable options, these advancements are empowering users to work more efficiently, safely, and responsibly. As technology continues to evolve, we can expect even more exciting developments in the world of hardware tools, further enhancing our ability to create and innovate. Whether you're a professional engineer or a DIY enthusiast, staying updated with these innovations through Zamil dealers will ensure you have the best tools at your disposal for any project. Zamil dealers provide access to the latest and most advanced tools, ensuring you stay ahead in your projects. By partnering with Zamil dealers, you can take advantage of their expertise and extensive product range, making sure you have the right tools for every task. Trusting Zamil dealers means you can rely on quality and innovation, key elements for successful engineering and DIY endeavours.

[jerry618]

Full Array vs. Mini LEDs: The Differences, and Their Uses

Email: sale05@xygledscreen.com

WhatsApp & Wechat: +86 18038197291

www.xygledscreen.com

Light is essential in our lives. It helps us see in the dark, draws attention to important things in our world, and, when it comes to electronics, provides a sense of comfort that something's on and, more importantly, functions correctly. Without light, life would be nothing short of difficult.

As we continue to integrate computer screens into our lives more and more, ensuring they're well-lit is crucial, whether those screens are just for entertainment or if they'll be crucial to a work field or industry.

However, lighting a screen isn't a simple matter of just having the screen make light; there's a lot at play with each screen. Each screen is lit up with an array of light-emitting diodes, also known as LEDs.

The Basics of LED Light

There are a few different ways LED lights can light a screen, but they all work off the basic principle of backlighting. Inside any backlit device, a number of tiny diodes arranged in a pattern sit behind the screen. The diodes each represent one of three colors: red, blue, and green. In addition, each diode can adjust its brightness. Different combinations of brightness allow the LEDs to mix colors and produce hues beyond the standard RGB.

An interface connects the LEDs to the screen, telling the diodes what will be on the screen at each diode's location. The diodes then use this data to determine how bright each LED in the pattern should be. While the specifics differ depending on the backlighting method, all these lights come together to illuminate the screen's pixels and produce a vibrant image.

What Kinds of Backlighting Configurations Are There?

Several backlighting configurations exist. However, the majority of LED screens use one of three popular methods to accomplish the task of screen lighting.

Full Array

With a full array backlight, a grid of lights across the screen's area provides complete lighting coverage. Each zone of the grid can be dimmed or brightened depending on the brightness of the screen image's corresponding area, allowing shadows to contrast nicely against light.

Direct-lit

Direct-lit backlights utilize LED lights spread out across the screen, similar to a full array. However, there are fewer lights in a direct-lit than in a full array, and rather than having individually dimmable zones, their lighting is uniform, resulting in evenly lit images. While shadows might not be as deep and rich, they still produce a desirable image.

Edge-lit

Edge-lit isn't exactly backlighting, but it is a related process. Edge lighting utilizes LEDs around the area of the screen, lighting it from the edge. The light is then directed down with a special panel and channeled into a diffuser. They offer decent quality at a cheap price and a slimmer size.

LED Differences: Full Array LED vs Mini LED

Backlighting configurations are just some of the things to consider when picking out a screen. It's also important to factor in what kind of LEDs you want to make up your television's backlighting system. The kinds to know are Full Array LEDs and Mini LEDs.

Both diode styles have advantages and drawbacks, and which kind you should choose depends on your personal preferences and planned usage. Below is a summary table, followed by an in-depth look at each feature.

Feature

Full Array LED

Mini LED

Diode Size

200 micrometers

100 micrometers

Array Size

Spaced Out

Dense

Peak Brightness

1000-2000 nits

2000+ nits

Dimming Zones

Standard

Superior

Blooming

Noticeable

Slight Improvement

Price

Budget-friendly

High-cost

Diode Size

Full Array LEDs come in a variety of sizes, but the ones for LED/LCD screens are around 200 micrometers, slightly thicker than a piece of paper. On the other hand, Mini LEDs are much smaller, at around 100 micrometers.

Array Size

Standard LED-based backlighting arrays are much less densely packed than ones that use Mini LEDs. Between this and the larger size of standard Full Array LEDs, there's less overall coverage.

Peak Brightness

Mini LED lights are capable of a higher overall brightness than Full Array LEDs and even surpass OLED lights in brightness. OLED screens achieve an average peak brightness level of around 800-1000 nits, Full Array averaging between 1000-2000 nits, and Mini LEDs typically sitting at 2000 nits or more, some reaching 5000+ nits.

Dimming Zones

Both styles of LEDs have accurate dimming controls, creating dimming zones that allow both dark and bright portions of an image to contrast and "pop," giving it a stunning, vibrant range of brightness and color. However, Mini LED's smaller, denser nature allows for incredibly precise dimming control, resulting in an incredible dynamic range compared to Full Array LEDs.

Blooming

Unfortunately, both LED styles suffer from blooming, also known as a halo effect. This is when light from a bright object over-spills into areas of darkness, making bright objects on the screen appear highly luminescent when they shouldn't be and, in worst-case scenarios, make shadows look washed-out.

Mini LED screens have a slightly less intense bloom, but unless you're particularly attentive to detail, the blooming on both Mini LED and Full Array LED screens will appear roughly the same.

Price

The final factor to compare is their cost. Mini LED-backlit devices cost more than standard Full Array LED ones because Mini LEDs are a more advanced and specialized technology.

Which One Should You Choose?

While Mini LED screens might seem like the obvious choice, there are times and places where a Full Array LED television would be a better option. It all comes down to where you'll be using it, and what your preferences are.

Reasons to get Full Array

If you're looking for a cheap device, aim for ones that use Full Array or other standard LED lights over Mini LEDs. Even if they might have less precise local dimming, their dimming features are still good and help make your movies and shows look more dynamic.

Furthermore, LED screens come in the broadest range of sizes. Finding especially small or particularly large screens will be far easier than it would be with Mini LED devices.

Full Array LED screens also serve you better than Mini LED screens if you buy them for business use. Not only do their lower price make them ideal for purchasing large quantities for use in places like hotels, hospitals, and convention centers, but Mini LED's benefits are unnoticeable when you're using these devices to display information like medical statistics or financial graphs rather than movies or shows.

Reasons to get Mini LED

For personal use, Mini LEDs are the way to go. They offer excellent contrast and brightness, making them ideal for shows, movies, and video games.

While they don't come in as many sizes as LED screens, they're still available in a nice selection of sizes ideal for most rooms in a house.

If you watch a lot during the bright hours of the day or prefer to watch television with the room's lights on, a Mini LED screen should be your choice. Their superior brightness makes them easier to watch in bright areas.

Conclusion

While Full Array LED televisions are suitable for business use and when you've got a tight budget, Mini LED televisions have several benefits that make them preferable for personal use and are generally better overall.

[pmpcertifications]

Azure Development Demystified: Navigating the AZ-204 Certification

In today's rapidly changing technological landscape, cloud computing has become the foundation for businesses seeking scalability, flexibility, and efficiency. Among the various cloud service providers, Microsoft Azure stands out as a leading platform with a diverse set of services and solutions. For developers looking to demonstrate their expertise in Azure development, the Microsoft Azure Developer Associate Certification (AZ-204) is a critical milestone. This comprehensive guide delves into the complexities of AZ-204, including its significance, exam details, and preparation strategies.

Understanding AZ-204 Certification

The AZ-204 certification is intended for developers who specialize in designing, developing, testing, and maintaining cloud applications and services on Microsoft Azure. It validates the skills and knowledge needed to create solutions with Azure technologies such as compute, storage, security, and communication services. 

Key Concepts Covered in AZ-204

1. Azure Development Tools and Technologies

AZ-204 evaluates candidates' ability to use various Azure development tools and technologies, including Azure SDKs, Azure CLI, Azure PowerShell, Azure Portal, and Azure DevOps. Understanding these tools is critical for the effective development, deployment, and management of Azure-based solutions.

2. Azure Compute Solutions

Candidates must demonstrate their ability to create Azure compute solutions using virtual machines, Azure App Service, Azure Functions, Azure Kubernetes Service (AKS), and Azure Batch. Mastery of these services enables developers to create scalable, resilient, and cost-effective Azure applications. 

3. Azure Storage Solutions

Azure offers a variety of storage solutions that are tailored to specific application requirements. AZ-204 assesses candidates' understanding of Azure Blob storage, Azure Files, Azure Table storage, Azure Queue storage, and Azure Cosmos Database. Designing data-intensive applications requires proficiency in the use of these storage services.

4. Azure Security Implementation

Security is critical in cloud computing, and AZ-204 evaluates developers' abilities to implement secure solutions on Azure. Authentication, authorization, encryption, Azure Key Vault, Azure Active Directory (AAD), and Azure Role-Based Access Control (RBAC) are among the topics discussed.

5. Integration and Communication Services

Effective communication and integration are critical components of modern app development. AZ-204 addresses Azure services such as Azure Event Grid, Azure Service Bus, Azure Event Hubs, Azure Notification Hubs, and Azure Logic Apps. Competence in integrating these services enables developers to create seamless and interconnected applications. 

AZ-204 Exam Details

The AZ-204 exam contains a variety of question types, including multiple-choice, scenario-based, and interactive items. The exam typically lasts about 150 minutes and contains a variety of questions. Candidates must register for the exam through the Microsoft certification website and adequately prepare to ensure success.

Preparation Strategies for AZ-204

1. Understand the Exam Objectives

Familiarize yourself with Microsoft's official exam objectives. This will serve as a road map for your preparation, ensuring that you cover all of the necessary topics thoroughly.

2. Hands-on Experience

Practical experience is invaluable when preparing for AZ-204. Create Azure accounts, experiment with different services, and work on real-world projects to gain practical experience with Azure development.

3. Utilize Official Microsoft Documentation and Resources

Microsoft provides extensive documentation, tutorials, and learning paths specifically designed for AZ-204 preparation. Take advantage of these resources to improve your understanding of Azure services and development methodologies.

4. Enroll in Azure Training Courses

Consider enrolling in instructor-led training courses or online tutorials provided by Microsoft or its authorized partners. These courses combine structured learning experiences with expert guidance to help you master Azure development concepts.

5. Practice with Sample Questions and Mock Exams

Practice is essential for success in any certification exam. Use sample questions, practice tests, and mock exams to evaluate your knowledge, identify areas for improvement, and become familiar with the exam format.

Conclusion

The Microsoft Azure Developer Associate Certification (AZ-204) demonstrates an individual's ability to develop cloud applications and services on the Azure platform. Developers can improve their career prospects and make significant contributions to organizations that use Azure technologies by mastering the key concepts covered in AZ-204 and implementing effective preparation strategies. Embrace the Azure development journey and let AZ-204 certification serve as your badge of expertise in the cloud computing realm.

[govindhtech]

Earth Engine in BigQuery: A New Geospatial SQL Analytics

BigQuery Earth Engine

With Earth Engine directly integrated into BigQuery, Google Cloud has expanded its geographic analytics capabilities. Incorporating powerful raster analytics into BigQuery, this new solution from Google Cloud Next '25 lets SQL users analyse satellite imagery-derived geographical data.

Google Cloud customers prefer BigQuery for storing and accessing vector data, which represents buildings and boundaries as points, lines, or polygons. Earth Engine in BigQuery is suggested for processing and storing raster data like satellite imagery, which encodes geographic information as a grid of pixels with temperature, height, and land cover values.

“Earth Engine in BigQuery” mixes vector and raster analytics. This integration could improve access to advanced raster analysis and help solve real-world business problems.

Key features driving this integration:

BigQuery's new geography function is ST_RegionStats. This program extracts statistics from raster data inside geographic borders, similar to Earth Engine's reduceRegion function. Use an Earth Engine-accessible raster picture and a geographic region (vector data) to calculate mean, min, max, total, or count for pixels that traverse the geography.

BigQuery Sharing, formerly Analytics Hub, now offers Earth Engine in BigQuery datasets. This makes it easy to find data and access more datasets, many of which are ready for processing to obtain statistics for a region of interest. These datasets may include risk prediction, elevation, or emissions.

Raster analytics with this new feature usually has five steps:

Find vector data representing interest areas in a BigQuery table.

Find an Earth Engine raster dataset in BigQuery image assets, Cloud GeoTiff, or BigQuery Sharing.

Use ST_RegionStats() with the raster ID, vector geometries, and optional band name to aggregate intersecting data.

To understand, look at ST_RegionStats() output.

Use BigQuery Geo Viz to map analysis results.

This integration enables data-driven decision-making in sustainability and geographic application cases:

Climate, physical risk, and disaster response: Using drought, wildfire, and flood data in transportation, infrastructure, and urban design. For instance, using the Wildfire hazard to Communities dataset to assess wildfire risk or the Global River Flood Hazard dataset to estimate flood risk.

Assessing land-use, elevation, and cover for agricultural evaluations and supply chain management. This includes using JRC Global Forest Cover datasets or Forest Data Partnership maps to determine if commodities are grown in non-deforested areas.

Methane emissions monitoring: MethaneSAT L4 Area Sources data can identify methane emission hotspots from minor, distributed sources in oil and gas basins to enhance mitigation efforts.

Custom use cases: Supporting Earth Engine raster dataset imports into BigQuery image assets or Cloud Storage GeoTiffs.

BigQuery Sharing contains ST_RegionStats()'s raster data sources, where the assets.image.href column normally holds the raster ID for each image table. Cloud Storage GeoTIFFs in the US or US-central1 regions can be used with URIs. Earth Engine image asset locations like ‘ee://IMAGE_PATH’ are supported in BigQuery.

ST_RegionStats()'s include option lets users adjust computations by assigning pixel weights (0–1), with 0 representing missing data. If no weight is given, pixels are weighted by geometry position. Raster pixel size, or scale, affects calculation and output. Changing scale (e.g., using options => JSON ‘{“scale”: 1000}’) can reduce query runtime and cost for prototyping, but it may impact results and should not be used for production analysis.

ST_RegionStats() is charged individually under BigQuery Services since Earth Engine calculates. Costs depend on input rows, raster picture quality, input geography size and complexity, crossing pixels, image projection, and formula usage. Earth Engine quotas in BigQuery slot time utilisation can be changed to control expenses.

Currently, ST_RegionStats() queries must be run in the US, us-central1, or us-central2.

This big improvement in Google Cloud's geospatial analytics provides advanced raster capabilities and improves sustainability and other data-driven decision-making.

[aussiesolartech]

Solar Tech Systems | aussiesolartech.com.au

Solar tech systems harness and convert solar radiation into various forms of energy. They include photovoltaic (PV) technologies that directly convert sunlight into electricity; concentrating solar-thermal (CSP) technologies that generate power by using mirrors to concentrate sun’s heat; and electrical grid systems that integrate PV and CSP technology with traditional and other renewable sources.

Solar photovoltaic (PV) systems

Solar tech systems photovoltaic (PV) convert the Sun’s radiation into electricity. They can be used for homes or large electric utility and energy generation purposes. Individual solar cells produce only a small amount of power, so they are combined into modules and arrays to generate larger amounts. NREL researchers are working to improve the performance of PV cells so that they can meet the growing demand for clean, renewable energy.

NREL also conducts research to ensure that PV systems are properly sized to match their owners’ electricity usage. This includes determining how much electricity is needed and deciding what time of day the system should be operating so that it can take advantage of peak sunlight hours. Currently, most off-grid PV systems include batteries to allow them to continue producing electricity during cloudy conditions.

Concentrating solar-thermal (CSP) systems

CSP technologies capture the sun’s heat to drive a conventional steam turbine generator. They are often paired with thermal energy storage systems to provide flexible and dispatchable electricity.

Solar energy is focused by mirrors onto a receiver or engine that converts the thermal energy into electricity using a Rankine or Brayton cycle. There are two major types of utility-scale CSP: power tower and linear concentrator.

Power tower systems use a network of sun-tracking mirrors that focus sunlight on the top of a central tower where a heat transfer fluid is heated to over 600oC. The steam drives a conventional turbine-generator to produce electricity.

Linear concentrator systems use parabolic trough collectors to concentrate sunlight into parallel tubes filled with a heat transfer fluid. These systems can either operate without storage, or with a thermal energy storage system like molten salt.

Sun-tracking systems

Solar tracking systems are designed to orient solar panels toward the sun as it rises and sets. This can lead to a significant boost in power production, which is why it’s worth the additional expense of installing these systems on your rooftop.

There are several types of solar trackers, with a single-axis solar system offering the most cost-effective solution. These trackers move on one axis and are aligned northsouth and east-west. These are also known as vertical single-axis trackers or VSATs.

Dual-axis trackers are more expensive and require additional maintenance.

However, they can improve your solar energy output by up to 40%. These are often used in commercial applications. They have a more complex control system and are based on a computer-based algorithm. They can be more prone to failure than static solar panels.

Perovskite solar cells

Perovskite solar cells (PSC) have high efficiencies and are currently being extensively researched. However, they are not yet ready for commercialisation. This is because they have stability issues and need to be improved, optimised and scaled for large areas of device.

The stability of these solar cells can be improved by adding tin to the mix. Tin is in the same column as lead on the periodic table and has a similar ionic size, so it can replace lead without negatively impacting the performance of the cell.

The NREL’s research in this area includes examining how the structure of a perovskite cell can be altered to improve stability. Another focus is improving the fabrication process for these devices. This includes reducing the number of heating and coating steps, and using roll-to-roll processing.

Cadmium telluride solar cells

Cadmium telluride solar tech cells use a thin semiconductor layer to absorb and convert sunlight into electricity. They are more efficient than crystalline silicon panels and can operate in higher temperatures. They can also withstand more moisture.

The Ohio-based companies First Solar and Toledo Solar make cadmium telluride solar panels. Their products compete with crystalline silicon systems, which represent the majority of the world’s solar panels.

The cadmium telluride industry is less vulnerable to supply chain interruptions than the crystalline silicon sector, Mansfield said. The materials needed per panel are relatively small, and better ways to refine them could maximize their availability. The industry is also less dependent on foreign supplies, and can use byproducts from mining ores. It is less carbon-intensive than crystalline solar technology, and can recycle end-of-life modules.

[piedpiperworld]

Toy Making Bench

What this mod gives you?

This mod will bring back a memory from the past, an exciting functional object from the time of Sims 2 - the Toy Making Bench, improved and optimized with a custom skill, a bunch of different craftables, and different ways to sell your products!

Functional Object

You can find Toy Making Bench by typing 'Toy Making' in the search bar or under indoor activities/hobbies/ activities (creative).

It costs 725$

And it comes in 2 colors (recolors allowed, do NOT include the mesh).

Interactions on the bench

You can craft different toys or admire the newly-bought bench. The bench is working Off-The-Grid and it's unbreakable.

Custom Skill

Brand new skill - Toy Making, it includes 10 levels, and it is gained by reading skill books (can be bought from the bookshelf or computer) and crafting items on the Toy Making Bench.

At level 5 of the skill, a new interaction is unlocked on the products - Sell To Toys Collector.

At level 10, another interaction is unlocked Sell To Toys Store.

Another specifics includes custom skill icon, and has custom thought bubbles when reading the skill books. The crafting animations are the same from the woodworking table. (Mirai told me that in the Sims 2 the animation was close to this one so I kept it, since I wasn't sure what other would fit this type of crafting).

If you have get together, toy making is also a Club Activity option, and if you have Seasons, there are also holidays.

With each skill level more and more craftables are unlocked on the station.

Custom preference - your Sim can have a preference towards toy making, you can choose it in Create-A-Sim under Hobby category, or leave the faith to decide.

Craftable Items

There are 40 different craftables!

Which are mixture of my own designs, sims 4 existing toys, sims 2 and sims 3 conversions and a few bought designs from Sketchfab.

12 of the toys require pandasama's tuning, so make sure to download their toys, if you don't have them already (at the bottom of the page chewck the reference)!

Each craftable require certain level of skill and an optional ingredient to be produced.

Cottage Living Wool, My Cotton Yarns, or Mirai's Logs

Craftables:

L1: Small wooden toys

L2: Colored wooden toys

L3: Woven toys

L4: Plush toys

L5: Hanoi Tower, Teddy Bear

L6: Small Dollhouse

L7: Commersial Toys

L8: Play Phone, Xylophones and Drums (use the xylophone tuning)

L9: Rocking Horses, Toy Kitchen and Large Dollhouse

L10: Spring Horses

Once your Sim finish crafting the objects will directly go in your Sim's inventory, the ones that require pandasama's tuning will be found in the household inventory. Then you can drag them and place them wherever you want. You can enlist the products on Plopsy (except the ones that require pandasama's tuning), sell them  through my custom interactions (added a script to be able to sell the toys that require pandasama's tuning as well, note that the option to sell will show up on all items that contain this tuning, not only the items from the crafting station, since the interaction is injected in the tuning id, not in the objects itself) or decorate your child sim room. All toys are still fully functional, so children can still play with them.

REQUIREMENTS:

BASE GAME

Pandasama's rocking horse, telephone, xylophone and rock-a-stack, play kitchen

KNOWN ISSUE:

The large plush bear can not be placed inside the lot, I literally tried everything to lift the toy as far as possible from the ground, but it still says it inserts the floor or ceiling, you need to use bb.moveobjects on to place it in the house.

DOWNLOAD (Early Access)

Relase to Official Patrons: 18th of July

Release to Public: 28th of July

@maxismatchccworld