#VCU Software

[recallsdirect]

Vehicle Recall: Hyundai IONIQ 5 "N" SUVs:

[arjunvib]

How does an engine contribute to a car's powertrain?

The powertrain in a vehicle is the system responsible for generating power and delivering it to the wheels to propel the vehicle forward. The operation of a powertrain can vary depending on whether the vehicle is powered by an internal combustion engine (ICE) or an electric motor (in the case of electric vehicles). Here's a general overview of how a powertrain works in both types of vehicles:

Internal Combustion Engine (ICE) Vehicle - Combustion Process: In an ICE vehicle, the powertrain starts with the combustion process in the engine. Fuel (gasoline or diesel) mixes with air in the combustion chamber and is ignited by spark plugs (in gasoline engines) or compression (in diesel engines).

Power Generation: The combustion process generates energy in the form of mechanical power, causing pistons to move up and down within the cylinders of the engine. This motion drives the crankshaft, converting linear motion into rotational motion.

Transmission: The rotational motion from the crankshaft is transmitted to the transmission, which consists of gears that allow the driver to select different ratios (speeds). This enables the engine to operate efficiently across a range of vehicle speeds.

Drivetrain: The transmission sends power to the drivetrain components, including the driveshaft, differential, and axles, which transfer power to the wheels. The differential allows the wheels to rotate at different speeds, enabling smooth turns.

Wheel Movement: The power transmitted through the drivetrain causes the wheels to rotate, propelling the vehicle forward or backward depending on the gear selection and throttle input from the driver.

Electric Vehicle (EV) -

Battery Pack: The primary source of power for the EV, storing electricity in chemical form.Powers the electric motor and provides electricity for all electronic devices within the EV.

Battery Management System (BMS): Monitors battery cell conditions, including voltage, current, temperature, and state of charge (SoC).It protects the battery against overcharging, deep discharging, and overheating and helps balance the charge across cells. Ensures optimal performance and longevity of the battery by regulating its environment.

Inverter: Converts DC from the battery pack into AC to drive the electric motor.Adjusts the frequency and amplitude of the AC output to control the motor’s speed and torque. Critical for translating electrical energy into mechanical energy efficiently.

Onboard Charger: Facilitates the conversion of external AC (from the grid) to DC to charge the battery pack. Integrated within the vehicle, allowing for charging from standard electrical outlets or specialized EV charging stations. Manages charging rate based on battery status to ensure safe and efficient charging.

DC-DC Converter: Steps down the high-voltage DC from the battery pack to the lower-voltage DC needed for the vehicle's auxiliary systems, such as lighting, infotainment, and climate control. Ensures compatibility between the high-voltage battery system and low-voltage electronic components.

Electric Motor: Converts electrical energy into mechanical energy to propel the vehicle. It can be of various types, such as induction motors or permanent magnet synchronous motors, each offering different efficiencies and characteristics. Typically provides instant torque, resulting in rapid acceleration.

Vehicle Control Unit (VCU): The central computer or electronic control unit (ECU) that governs the EV's systems. Processes inputs from the vehicle’s sensors and driver inputs to manage power delivery, regenerative braking, and vehicle dynamics. Ensures optimal performance, energy efficiency, and safety.

Power Distribution Unit (PDU): Manages electrical power distribution from the battery to the EV’s various systems. Ensures that components such as the electric motor, onboard charger, and DC-DC converter receive the power they need to operate efficiently. Protects the vehicle's electrical systems by regulating current flow and preventing electrical faults.

In both ICE vehicles and EVs, the powertrain's components work together to convert energy into motion, enabling the vehicle to move efficiently and effectively. However, the specific technologies and processes involved differ significantly between the two propulsion systems.

[dorleco]

Autonomous Vehicle Software

August 2, 2024

by dorleco

with no comment

Autonomous Vehicle Technology

Edit

Introduction:

Autonomous vehicles, or self-driving cars, have gotten a lot of attention lately as a revolutionary technology that might fundamentally alter transportation. These vehicles are equipped with cutting-edge software that enables them to navigate and operate on the road without assistance from a human. We’ll examine the key components, challenges, and advancements in the field of autonomous technology in this overview of autonomous automobile software.

Crucial Components of Autonomous Vehicle Software:

Autonomous car software is a complicated system composed of several key components:

Perception: To sense its surroundings, the car’s perception system uses sensors such as cameras, radar, LiDAR, and ultrasonic sensors. These sensors gather information about the environment around the car, such as other cars, people walking, traffic lights, and the state of the road.

Localization is necessary for the car to understand where it is precisely on the road. GPS, map data, and inertial measurement units (IMUs) are used for accurate localization.

Mapping: High-definition maps are needed for autonomous vehicles. These maps, which provide detailed information on traffic signs, lane markings, and road structure, enable the car to make informed decisions.

Control: The control system evaluates information from mapping, localization, and perception to make real-time driving decisions. It controls the vehicle’s brakes, steering, and acceleration for safe navigation.

Making Plans and Decisions: The planning module plots a path for the car using maps and the observable environment, and the decision-making section considers the advantages and disadvantages of each choice before selecting the most sensible and safe course of action.

Advancements in Software for Autonomous Vehicles:

Lately, there have been notable advancements in the field of autonomous vehicle software, particularly in the following domains:

Artificial Intelligence and Machine Learning: Machine learning algorithms are improving the vision and decision-making capabilities of self-driving cars by enabling them to process information from the real world and adapt to new situations.

Simulation: Robust simulation environments can do away with the need for in-person testing by allowing developers to test and validate autonomous software in various scenarios.

Communication: Through V2X (vehicle-to-everything) communication, autonomous vehicles can increase efficiency and safety by exchanging data with other vehicles, the traffic system, and pedestrians.

Updates via Over-the-Air (OTA): Over-the-air (OTA) software updates allow autonomous automobiles to obtain regular software upgrades by fixing security problems and improving performance.

Autonomous Vehicle Software Benefits

Autonomous vehicle software, sometimes known as self-driving car software, offers several possible benefits. These benefits have the potential to revolutionize transportation while increasing effectiveness and security. Some of the primary benefits of autonomous automobile software include the following:

Enhanced Safety: The frequency of collisions caused by human mistakes, such as speeding, distracted driving, and drunk driving, could be significantly reduced by autonomous cars. The software’s capacity to follow traffic regulations, maintain safe distances, and make quick, accurate decisions may result in fewer accidents.

Decreased Traffic Congestion: Autonomous vehicles can ease traffic congestion by communicating with one another and the traffic infrastructure. This can improve the overall efficiency of transportation networks and reduce traffic congestion by removing roadblocks.

Enhanced Accessibility: Autonomous vehicles may provide greater mobility to the elderly, people with disabilities, and people unable to drive because of health issues. This could significantly improve their level of independence and quality of life.

Environmental Benefits: Programming autonomous vehicles can reduce emissions and fuel use. The transition to electric and driverless vehicles may result in a decrease in air pollution and greenhouse gas emissions in the future.

Decreased Parking Need: Self-parking autonomous cars that can also pick up and drop off passengers can reduce the need for parking spaces in urban areas, making better use of expensive real estate.

Economic Benefits: The creation and application of autonomous cars have the potential to provide jobs in a variety of industries, from software development to vehicle maintenance. Additionally, industries like ride-sharing and delivery services may benefit.

Better Mobility Services: Autonomous technology can offer shared mobility services that are available on demand, saving users money and enhancing travel convenience. Additionally, it might lessen the need for individual car ownership.

Cons of Software for Autonomous Vehicles

while there are many potential benefits to autonomous automobile software, there are also several challenges and concerns that need to be fixed. Some disadvantages and problems with autonomous car software are as follows:

Safety and Reliability: Despite developments, concerns about the dependability and security of self-driving automobiles persist. Software problems, technical malfunctions, and the ability to handle complex and unexpected situations are examples of ongoing challenges.

High Development Costs: Developing and testing software for self-driving cars is an expensive and resource-intensive procedure. This cost can be an entry hurdle for many enterprises, which could result in increased car prices.

Cyber-attack vulnerability: Autonomous automobiles rely heavily on software and data transfer. As a result, they become more vulnerable to cyber-attacks, jeopardizing their security and safety. Being safe from online threats is among the top worries.

Legal and Regulatory Challenges: The laws and rules governing autonomous vehicles are ever-changing. It might be challenging to assign blame for mishaps or software bugs, which can make it more difficult to use the technology. Driver displacement and economic disruption could result from the increased usage of autonomous cars, which could lead to employment losses in industries including haulage, cab services, and deliveries.

Ethical Conundrums: For example, autonomous vehicles may have to choose between preventing an impending collision and safeguarding the occupants of the vehicle or the pedestrians. It’s not easy to resolve these moral dilemmas.

Privacy Issues: Autonomous vehicles gather and retain a lot of data, including location and private passenger information. Ensuring data privacy and security is crucial to prevent misuse or breaches.

Restricted Accessibility: Some socioeconomic groups may not be able to employ autonomous technology because of its expensive cost, which could result in unequal access to transportation options.

Conclusion:

To sum up, autonomous vehicle software is a revolutionary technology that has the potential to completely change mobility and transportation. Even while there are many positives to this technology, such as increased accessibility, decreased traffic, safer travel, and positive environmental effects, it’s important to be aware of the difficulties and worries that come with it.

Concerns about privacy, ethical quandaries, job displacement, high development costs, cyber vulnerabilities, safety and dependability, and legal and regulatory obstacles are just a few of the major drawbacks that need to be addressed as autonomous vehicles advance. Furthermore, the effects on the labor market and the possibility of job displacement in transportation-related companies are issues that need to be carefully thought through.

For autonomous vehicles to be responsibly integrated into our transportation networks, it will be imperative that government agencies, industry players, and academia continue their research, development, and partnership efforts. The regulatory landscape is changing, and safety protocols are always getting better with a focus on data security, privacy, and ethics.

The possibility of safer, more effective, and more accessible transportation networks grows as technology advances and these issues are resolved. An important development in the history of transportation is autonomous vehicle software, which promises to improve people’s quality of life globally while also being efficient and convenient. In the end, its success will depend on how well it can combine innovation with tackling related issues, all the while keeping an eye on everyone who uses the roads: their safety and wellbeing.

[spacenutspod]

3 min readPreparations for Next Moonwalk Simulations Underway (and Underwater) NASA NASA’s System-Wide Safety (SWS) project identifies and addresses safety threats to improve the efficiency of flight and access to airspace. This map shows the locations of companies, academic institutions, and other government agencies that collaborate with SWS to conduct world-class research to assure the safety of current and future aviation applications that improve the quality of life for all humankind. Note: Location on the map is based on the formal signed agreement. However, SWS also collaborates with additional locations not shown on the map. System-Wide Safety Collaborations Air Force Research Laboratory Aerospace Systems Directorate Arlington, Virginia AIRT, IncMiami, Florida American AirlinesFort Worth, Texas BoeingHuntsville, AlabamaHuntington Beach, California DelphirePasadena, California Delta AirlinesAtlanta, Georgia easyJet Airline CompanyLuton, England Embry-Riddle Aeronautical UniversityDaytona Beach, Florida General Electric CompanyNiskayuna, New York George Washington University (GWU)Washington, D.C. German Aerospace Center (DLR)Cologne, Germany Iowa StateAmes, Iowa Texas A&M UniversityCorpus Christi, Texas LongbowHampton, Virginia Massachusetts Institute of Technology (MIT)Cambridge, Massachusetts MIT/Lincoln LabsLexington, Massachusetts MitreBedford, Massachusetts National Institute of Standards and Technology (NIST)Gaithersburg, Maryland Northrop GrummanRoy, Utah Notre DameSouth Bend, Indiana Ohio Department of Transportation (ODOT)Springfield, Ohio Penn StateState College, Pennsylvania SkyGridAustin, Texas Swiss International Airlines (SWISS)Zurich, Switzerland United AirlinesChicago, Illinois University Of Central Florida (UCF)Orlando, Florida University of Texas – AustinAustin, Texas Vanderbilt UniversityNashville, Tennessee Virginia Commonwealth University (VCU)Richmond, Virginia XwingSan Francisco, California NASA Contacts Agreements and PartnershipsMegan Rittermegan.p.ritter@nasa.gov Media InquiriesKaitlyn Foxkaitlyn.d.fox@nasa.gov About NASA’s System-Wide Safety Project SWS evaluates how the aerospace industry and aircraft modernization impact safety by using the latest technology to address potential risks associated with technical advancements and other emerging aviation operations. Using this data, the project develops innovative solutions to assure safe, rapid, and scalable access to the commercial airspace.   SWS focuses on two significant project goals: Explore, discover, and understand the impact on safety of growing complexity introduced by modernization aimed at improving the efficiency of flight, the access to airspace, and the expansion of services provided by air vehicles. Develop and demonstrate innovative solutions that enable this modernization and the aviation transformation envisioned for global airspace system through proactive mitigation of risks in accordance with target levels of safety  SWS is developing the concept and recommended requirements for an assured In-Time Aviation Safety Management System that enables safe, rapid, and scalable access to a transformed National Airspace System.  SWS also: Performs research and development focused on exploring, discovering, and understanding the impact of industry and aircraft modernization on safety. Evaluates operations in the future NAS to identify new risks and hazards that must be effectively managed. Focuses on a safety framework to assure the safety of current and future operations in the National Airspace System.   The SWS project is part of NASA’s Airspace Operations and Safety Program under the agency’s Aeronautics Research Mission Directorate. Facebook logo @NASA@NASAaero@NASA_es @NASA@NASAaero@NASA_es Instagram logo @NASA@NASAaero@NASA_es Linkedin logo @NASA Explore More 4 min read NASA, Industry to Start Designing More Sustainable Jet Engine Core Article 3 days ago 4 min read Aviary: A New NASA Software Platform for Aircraft Modelling Article 4 days ago 4 min read NASA’s X-59 Passes Milestone Toward Safe First Flight  Article 6 days ago Keep Exploring Discover More Topics From NASA Missions Humans In Space NASA History Aeronautics STEM Share Details Last Updated May 21, 2024 EditorKaitlyn D. FoxContactKaitlyn D. Foxkaitlyn.d.fox@nasa.govJim Bankejim.banke@nasa.gov Related TermsSystem-Wide SafetyAeronautics Research Mission DirectorateAirspace Operations and Safety Program

[govindhtech]

NVIDIA and NTT DOCOMO Launch GPU-Assisted 5G Network

Benefits of GPU in 5G Networks

Global telecoms corporations are looking into ways to efficiently deliver many of these new AI applications to the edge over 5G and impending 6G networks as generative AI takes over boardrooms all around the world.

By 2025, telcos expect to have installed more than 17 million 5G microcells and towers worldwide. The next major issue for the industry is to build, manage, and optimize this new infrastructure while preserving service delivery quality and enhancing user experience.

In its network in Japan, NTT DOCOMO declared that it is implementing a GPU-accelerated wireless solution. As a result, it is the first operator to ever construct a commercial 5G network that is GPU-accelerated.

With its action, DOCOMO hopes to solve the multibillion-dollar issue of achieving Open RAN’s promised flexibility, scalability, and supply chain diversity while enhancing performance, TCO, and energy efficiency.

The NVIDIA Aerial vRAN stack and NVIDIA Converged Accelerators are the foundation of the high-performance Fujitsu 5G virtual radio access network (vRAN) used in the 5G Open RAN solution. With this combination, telcos may build a fully software- and cloud-defined network with the ability to dynamically assign resources while utilizing equipment that is industry-standard.

Sadayuki Abeta, worldwide head of Open RAN solutions at NTT DOCOMO, said: “Open RAN offers the opportunity to build next-generation 5G networks with unprecedented flexibility and scalability thanks to multivendor connections.” We anticipate collaborating with NVIDIA to develop infrastructure solutions that address those demands.

The 5G Open RAN solution uses a hardened, carrier-grade vRAN stack and is the first 5G vRAN for telco commercial deployment leveraging the NVIDIA Aerial platform. The NVIDIA Aerial vRAN stack for 5G, AI frameworks, enhanced computational infrastructure, and long-term software support and maintenance are all included in the platform.

GPU Acceleration’s Cost and Energy-Efficiency Benefits

The new 5G solution employs the NVIDIA Aerial platform in conjunction with products from Fujitsu and Wind River to cut expenses and power usage. According to DOCOMO, the solution lowers overall expenses by up to 30%, network design usage by up to 50%, and power consumption at base stations by up to 50% when compared to its current 5G network installations.

Masaki Taniguchi, senior vice president and head of the Mobile System Business Unit at Fujitsu Limited, said: “Delivering a 5G Open RAN network that satisfies exacting performance requirements of operators is a significant accomplishment.” “Our Fujitsu vCU/vDU will help network operators build high-performance 5G networks for consumers and businesses alike, using the NVIDIA Aerial platform in combination.”

The DOCOMO rollout’s use of NVIDIA technology is a part of a growing array of 5G technologies that are transforming the telecommunications sector. NVIDIA offers a high-performance, software-defined, cloud-native, AI-enabled 5G for on-premises and telco operators’ RAN that is based on the Aerial vRAN stack, NVIDIA Converged Accelerators, NVIDIA BlueField data processing units (DPUs), and a suite of AI frameworks.

The Open RAN 5G vRAN has been developed by Fujitsu, NVIDIA, and Wind River under the OREX (5G Open RAN service name), which was introduced by DOCOMO in February 2021. Fujitsu’s virtualized DU (vDU) and virtualized CU (vCU) platforms, the Wind River cloud platform, Fujitsu’s 5G vRAN software, the NVIDIA Aerial vRAN stack, and NVIDIA Converged Accelerators are all used in the deployment of OREX in Japan.

Paul Miller, chief technology officer of Wind River, said, “Wind River is pleased to partner with NTT DOCOMO, Fujitsu, and NVIDIA towards a vision of enhanced efficiency of RAN installations and operations. “Wind River Studio offers operators a cloud-native, distributed cloud, automation, and analytics solution based on open source, allowing for speedier innovation and the global deployment and management of their 5G edge networks at large scale. High scale production installations have validated this solution.

Building From Japan and Beyond with OREX

A multivendor, Open RAN-compliant 5G vRAN is being promoted to the international operator community by DOCOMO and its partners in OREX. The commercial deployment in Japan is a first step toward OREX’s goal of enabling its members to commercially verify their solutions before marketing them to other operators around the world.

In order to assist operators throughout the world in deploying high-performance, energy-efficient, software-defined, commercial 5G vRANs, NVIDIA is collaborating with DOCOMO and other partners.

[autotech4you]

Doosan DMS-5 3.1.0 Remote Installation[07.2023] The Doosan DMS-5 3.1.0 Remote Installation is a software designed for diagnostic purposes on Doosan excavators and wheel loaders. This software allows for effective communication with e-epos, ecu, or vcu systems and offers various advanced features. Doosan DMS 5 3.1.0 Remote Installation Information: Real-time monitoring enables users to continuously track and analyze data as it […]https://autotech4you.com/doosan-dms-5-3-1-0-remote-installation07-2023/?feed_id=1034&_unique_id=64dfb1c826ba7 للمزيد من التفاصيل والاستفسار عن الكتالوجات يرجي الاتصال او ارسال رسالة على واتس اب +201555571929 For Further Catalogs or Clarifications call or WhatsApp us on +966115201518 +201555571929

[researchvishal]

Vehicle Control Unit (VCU) Market Key Opportunity, Analysis, Growth, Trends 2033

Growing Demand for VCU Systems to Boost the Partnership Between Major OEMs & Domestic Players: Vehicle Control Unit (VCU) Market to Surpass US$ 11 Bn by 2033

According to Future Market Insights, demand for vehicle control unit (VCU) market is expected to grow at a CAGR of 19.3% over the projected timeframe. The market is expected to be valued at US$ 11,102.5 million by 2033, up from US$ 1,901.1 million in 2023.

Rising demand for electric vehicles, as well as the increasing prevalence of automation in vehicles and the electrification of automotive parts, are expected to drive vehicle control unit sales (VCU). Rising public safety concerns, as well as rising demand for ADAS and automated safety systems, are some of the primary driving factors. However, high investment costs are a significant impediment to industrial development.

The demand for advanced electric vehicles and cutting-edge vehicle electronics technologies are key factors driving the vehicle control unit market's expansion. An increased focus on electric car features and the requirement for integrated vehicle electronics are anticipated to assist the industry. Advanced compact VCUs are being developed by businesses so they can handle and execute linked processes including ADAS, predictive technology, infotainment, body control, battery management, torque coordination, and autonomous driving.

For more Information: https://www.futuremarketinsights.com/reports/vehicle-control-unit-vcu-market

Key Takeaways from the Vehicle Control Unit (VCU) Market

The United States is expected to hold a 10.5% market share during the projection period. The region dominates the global market.

During the forecast period, Europe is predicted to be the second largest market, with a 6.4% share.

Asia Pacific is expected to be the fastest-growing and largest vehicle control unit market during the forecast period.

The China vehicle control unit market is expected to develop at a CAGR of 14.6% during the projected period.

The India vehicle control unit market is expected to be one of the areas with the biggest development potential, with a CAGR of 23.6%.

Due to the constant growth in the pace of production worldwide, which has increased in the manufacture and installations of VCU systems, the ICE category dominated the market with a 70.12% share for the Propulsion Type.

The market CAGR for ADAS systems was about 6.71%. The major automakers are incorporating ADAS technologies to increase the safety rating of their vehicles and win over customers, which is driving up demand for this industry internationally.

With a market share of 65%, the Passenger Cars sector of the Vehicle Type division topped the market.

Some of the Major Players in the Vehicle Control Unit (VCU) Market

Texas Instruments (US)

Mitsubishi Electric Corporation (Japan)

ZF FRIEDRICHSHAFEN AG (Germany)

Continental AG (Germany)

Denso Corporation (Japan)

Hyundai Mobis (Korea)

Autoliv (Sweden)

Robert Bosch GmbH (Germany)

Altera (Intel Corporation) (U.S.)

Valeo Inc. (France)

Delphi Technologies (U.K.)

NXP Semiconductors N.V. (Netherlands)

Vehicle Control Unit (VCU) Market Segmentation by Category

By Vehicle Type:

Commercial Vehicle

Passenger Car

By Component:

Hardware

Software

By Propulsion Type:

BEV

HEV

PHEV

By Communication Technology:

Controller Area Network

Local Interconnect Network

Flexray

Ethernet

By Function:

Predictive Technology

Autonomous Driving/ADAS

Recent Developments in the Vehicle Control Unit (VCU) Market

Mitsubishi said in February 2019 that it has developed the world's smallest power unit for a two-motor hybrid electric car (two inverters and one converter), weighing only 2.7 liters and generating a world-leading 150 kVA/l power density. The motor also has a world-class output power density of 23 kW/l.

In March 2020, Robert Bosch GmbH and Nikola Motor Company formed a partnership to develop a fuel cell truck. The central component of the advanced truck system is the Bosch vehicle control unit, which provides more computer capacity for advanced operations while reducing the number of separate components.

Continental unveiled the redesigned Safety Domain Control Unit (SDCU) in January 2018 as a backup for the Automated Driving System.

[campingtonki]

Adobe creative cloud suite

#Adobe creative cloud suite install

#Adobe creative cloud suite full

#Adobe creative cloud suite software

To get access to the UNK Adobe Creative Cloud suite, contact your Tech Coordinator.

#Adobe creative cloud suite install

to install and run the Adobe Creative Cloud Suite on up to two computers.

#Adobe creative cloud suite software

However, you cannot run the Adobe software simultaneously on both the primary and secondary computers. If you want a copy for personal use, you would need to purchase a "home use" license at Suffolk University employees have access to Adobe Creative Cloud named User. Once Adobe is installed on one UNK computer, then you may also install and use the software for university use ONLY on one secondary computer of the same platform at home. Student Employees require a 30 / year subscription. The Adobe Creative Cloud Suite may be installed on any UNK owned computer. Students may purchase a new annual subscription to maintain access to Adobes Creative Cloud suite. Students must meet certain eligibility requirements to qualify. Follow the onscreen instructions to complete the installation. The Adobe Creative Cloud student subscription is now included in the VCU student software bundle for all currently-enrolled VCU students. Note: Depending on your Autoplay settings in Windows, the Set-up.exe file may launch automatically. Double-click Set-up.exe (Windows) or Install.app (macOS) to begin the installation. Any student who requires Adobe applications for Northeastern academic courses. Adobe Creative Cloud empowers users to get creative anywhere Access, download, and install more than 40 Adobe Creative Cloud desktop, mobile, and web-based. Insert the Adobe Creative Suite 6 suite or stand-alone product application DVD into your DVD drive. It installs automatically when you install your first Creative Cloud app.

#Adobe creative cloud suite full

The Adobe Creative cloud is available for faculty and staff for UNK work in your office or at home. Northeastern offers the full Adobe Creative Cloud suite for students at no cost. Download Creative Cloud To view all of your apps, Easily manage your Creative Cloud apps and services Download and install apps, share files, find fonts and Adobe Stock assets, set preferences, and more all from the Creative Cloud desktop app. Instructions to Sign into Adobe Creative CloudĬreative Cloud gives you the world’s best creative tools, always up to date. To help facilitate remote learning, Adobe has given students full access to Adobe Creative Cloud until July 6th.

[climatechangesblog]

Business-software provider Salesforce Inc. is launching a marketplace for carbon credits that it says will tackle transparency and quality issues in the fast-growing field.

The San Francisco-based company said Tuesday that its latest platform, called Net Zero Marketplace, is set to go online in October with close to 90 projects selling carbon credits that support programs such as forestry, soil health and renewable-energy in the developing world, among others.

Salesforce brought together some of the biggest environmental project developers, including Climate Impact Partners and South Pole, and ratings agencies Calyx and Sylvera. Credits carry identifications after receiving verification from a registry, the largest being the nonprofit Verra’s Verified Carbon Units or VCUs. The platform will be available first in the U.S. and in other countries later. Source ask.com

[multistudioblogmarbukh]

During these past two weeks, my group has accomplished perfecting the assets that we’ll be sending to the CBORD marketing director. I plan to send them ASAP when my group mates finish uploading their files to the shared drive that is pictured above. I created two fliers that can be used by VCU either on their social media, or to hang up on the storefronts of various on-campus dining locations. Since the GET app at VCU is apparently quite new, they started using it within the last year to be exact, the school hasn’t marketed it very well causing myself and others to be unaware of its existence. 

Next, my plan is to use the app to order food to confirm that it’s reliable. I don’t have a dining plan, but it’s possible to load money onto the account right from your phone. I’ll get this done most likely on Monday for lunch. In addition, I want to contact the store managers to ask if it’d be okay to hang our fliers up inside/outside the dining location to make student/faculty customers aware of this tool. 

This sprint, I learned that the process of designing the fliers for advertising the app was really fun because I had to think about appealing to a wide audience: college students who attend VCU. Also, I used Adobe Dimension for the first time to add the logo on the phone mock-up and had to teach myself how to use the software. I wouldn’t have done anything differently now that I’m looking back on this sprint and am just looking forward to what the next steps are. 

[dorleco]

V-Model development techniques to design

August 1, 2024

by dorleco

with no comment

Control Systems

Edit

Introduction

The Verification and Validation Model, often known as the V-Model or the V-Cycle, is a software development methodology that prioritizes testing throughout the entire process. It’s a Waterfall approach modification that’s widely used in critical system development when thorough testing is necessary. The V-Model’s two main stages are completed in the following order:

1. Verification (left side of the V):

a. Analysis of requirements :

– Identify and document the client’s needs.

– Based on customer input, determine software and system requirements.

b. System Design:

Develop a high-level design specification by referring to the requirements.

– Explain the system’s overall architecture.

c. Architecture:

Create a comprehensive system architecture.

– Explain the interfaces that the system’s various components have with one another.

d. Module Design:

Break the system up into smaller, easier-to-manage parts.

– Clearly define each module’s requirements.

e. Implementation (Coding):

Write code according to the detailed module requirements.

1. Examining Units:

– Check that each module is accurate.

– Identify and fix module-level issues.

2. Validation (right side of the V):

a. Testing for integration:

To ensure that the modules work as a whole, integrate them and test them all together.

– Find and correct any errors in the modules’ interlobular communication.

b. Testing the system:

Test the system as a whole to make sure it meets the requirements.

Identify and fix issues at the system level.

c. The user acceptance test, or UAT:

– Validate the solution by asking end users to attest that it meets their needs.

– Get user input and make necessary adjustments.

d. Initiation:

After testing is completed successfully, put the system into use.

Make sure that the necessary documentation has been completed.

1. Upkeep and Assistance: –

Assist continuously, fix issues that arise in the real-world setting, and implement any necessary improvements.

Important ideas and methods related to the V-Model:

The V-Model encompasses several fundamental concepts and techniques that guide its application in software development. The main concepts and techniques associated with the V-Model are as follows:

Initial Testing

Principle: Testing activities are initiated early in the development life cycle.

Technique: Unit testing is used in the early stages of test preparation and execution to guarantee that errors are identified and corrected as soon as practical.

2. An incremental and phased approach:

Principle: Development and testing have distinct periods.

Methodology: Testing is organized based on the stages that make up the development process. Systems that are only partially functional can be sent for testing and validation thanks to incremental development.

3. Trackability:

Principle: There should be a clear, traceable relationship between requirements and relevant tests.

Method: Make and maintain traceability matrices that link each requirement to the tests that verify its fulfilment. This ensures that all tests are covered thoroughly.

4. Loops of Feedback:

Principle: Continuous input is essential during the development and testing phases.

Methodology: As defects are found during testing, they are communicated to the development team for resolution. The quality of the software is improved by this loop of iterative feedback.

5. Record-keeping:

Concept: Extensive documentation is necessary at every stage of development and testing.

The method entails producing and maintaining current, comprehensive documentation for the design, requirements, test cases, and test plans. This documentation serves as a guide and comprehension tool for the duration of the system.

6. Testing and Development in Parallel:

Methodology: Testing for each phase is ongoing as the related development stage moves forward. Using a parallel approach reduces the likelihood that major defects will emerge later by allowing problems to be identified and solved sooner.

7. Well-defined positions and responsibilities:

It is important to specify the roles and duties of the development and testing teams.

Method: Assign specific duties to individuals or teams for each level of the V-Model. This establishes accountability and clarifies who is in control of what.

8. User Engagement:

Principle: User engagement is necessary for both validation and acceptance.

Method: Involve users in the User Acceptance Testing (UAT) stage to ensure the system meets their needs and expectations.

9. Management of Configurations:

Principle: Supervise and control changes made to the software and associated resources.

Technique: To keep version control, monitor changes, and ensure consistency between the development and testing processes, use configuration management procedures.

10. Comprehensive Testing:

Principle: All aspects of the system ought to be put to the test. Technique: Plan and execute a range of tests, including unit, integration, system, and user acceptance testing, to confirm the program’s accuracy and dependability.

Drawbacks of the main ideas and methods connected to the V-Model

Even while the V-Model offers a structured approach to software development with integrated testing, it is not without its drawbacks. The following are some limitations and drawbacks associated with the primary concepts and techniques of the V-Model:

1. Inflexibility and Rigidity:

Cons: When it comes to modifying needs, the V-Model could be less adaptable and more rigid. It makes the challenging assumption that needs are clear-cut and unchanging, which makes it challenging to adjust as the project develops.

2. System Visibility After Hours:

Cons: It takes a long time for the system to become fully visible during the development life cycle. This could lead to erroneous perceptions of user requirements or a delay in identifying design flaws, which makes problem-solving more challenging and costly.

3. Minimal User Engagement:

The only time consumers are often involved is during the User Acceptance Testing (UAT) phase. This could result in the discovery of significant issues or misunderstandings later on in the procedure when fixing them will be more expensive.

4. Dependency on Proactive Scheduling

Limitation: The effectiveness of the V-Model depends on having a firm understanding of the needs and starting early. If the needs change or the initial planning is flawed, delays and significant barriers could occur.

5. Nature in Sequence:

Cons: The V-Model follows a sequential path in which the completion of one phase depends on the success of the one before it. This could lead to a longer development timeframe, especially if changes are required after the project starts.

6. Insufficient Length for Iterative Development:

Cons: Iterative or incremental development approaches do not work well with the V-Model. It could not be compatible with modern agile methodologies, which strongly emphasize flexibility and quick reaction to changing requirements.

7. Excessive Focus on Testing

Cons: The V-Model may overemphasize testing as a stand-alone step, even though testing is crucial. This approach could not be effective for projects incorporating agile methodologies, which call for continuous testing and feedback

8. Presumption of Clearly Stated Needs:

Cons: The V-Model is based on the assumption that needs are precise and unchanging from the outset. As the project is being developed, adjustments may be necessary because needs often change.

9. Low Level of Client Involvement

Cons: User acceptability testing and requirements phases are usually the only times that customers or stakeholders are communicated with. This can result in a lack of ongoing contact and feedback throughout the development process.

10. Having Difficulties Handling Difficult Projects?

cons: The V-Model may face challenges when working on large, complicated projects with requirements that are not completely understood up front. An iterative and more flexible approach may be more appropriate in some circumstances.

Conclusion:

In summary, the V-Model’s core principles and techniques provide a structured, methodical approach to software development that emphasizes early testing and traceability. However, it’s crucial to consider both the benefits and drawbacks of the V-Model:

When choosing the V-Model, it’s critical to consider the project’s needs for stability, the organization’s overall development plan, and the project’s type. Though it might not be ideal for every project, the V-Model might be helpful in instances where a systematic, logical, and well-documented development process is required and if needs changes are either minor or properly managed. However, for projects that require more flexibility and adaptability, different methodologies like Agile may be more appropriate.

[climatechangesblog]

Business-software provider Salesforce Inc. is launching a marketplace for carbon credits that it says will tackle transparency and quality issues in the fast-growing field.

The San Francisco-based company said Tuesday that its latest platform, called Net Zero Marketplace, is set to go online in October with close to 90 projects selling carbon credits that support programs such as forestry, soil health and renewable-energy in the developing world, among others.

Salesforce brought together some of the biggest environmental project developers, including Climate Impact Partners and South Pole, and ratings agencies Calyx and Sylvera. Credits carry identifications after receiving verification from a registry, the largest being the nonprofit Verra’s Verified Carbon Units or VCUs. The platform will be available first in the U.S. and in other countries later. Source ask.com

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[vividracing]

New Post has been published on https://www.vividracing.com/blog/aem-electronics-new-vcu300-ev-control-unit-now-available/

AEM Electronics New VCU300 EV Control Unit Now Available

For the last 30-plus years, AEM Electronics has continued to build its reputation to maintain its status as an industry leader in the automotive performance market. AEM Electronics is known for manufacturing top-grade performance racing electronics to help drivers go faster, set records, and win. The company is proud to offer one of the finest lineups of products that are engineered to outperform the competition. That being said, AEM Electronics has just announced the availability of its new VCU300 Programmable Electric Vehicle Control Unit. 

AEM EV’s VCU300 is used in Ford Racing’s CobraJet1400 EV drag concept and in the Huff Motorsports EV Dragster, which was the first EV dragster to post 200MPH in the quarter-mile. This vehicle control unit is built on OEM hardware and features OEM quality strategies to deliver the highest level of reliability and safety for both the programmer and driver. AEM’s Vehicle Control Unit (VCU) is the missing link for high-performance EV street-conversion and motorsports applications. It lets the calibrator create custom torque management strategies that are applicable to a wide array of EV systems and component combinations. What’s more, it integrates EV systems and unifies the tuning experience to offer conversion and motorsports-ready functions in a highly customizable and modern interface. 

Click To View All AEM Electronics Parts Here.

The VCU300 can manage four inverter/motor systems and communicate with up to three independent CAN bus networks. This product can also be used on direct-drive and indirect-drive EV setups. Launch control, torque time, CAN-controlled cooling pump support, and performance mode switching are all integrated and programmable using AEMcal software. 

AEMcal software for the AEM VCU300 simplifies the process of customizing power delivery strategies and controlling ancillary subsystems of EV motorsports and conversion vehicles. AEMcal software eliminates the need for stacking multiple controllers to manage an EV’s propulsion and ancillary systems. This is made possible through the utilization of an intuitive graphical interface that combines tables for the implementation of launch control, torque delivery, regenerative braking, traction control, speed limiting, and much more. 

The AEM EV VCU300 features an IP69K (waterproof and dustproof) aluminum enclosure with a 196-pin connector that can withstand temperatures ranging from -40 degrees Celsius to 105 degrees Celsius. 

Inputs: 31 Analog inputs; 8 Digital Inputs; 5 Frequency inputs

Outputs: 39 Low-side drivers; 2 High-side drivers; 3 Half-bridge channels, and 1 Main power relay

Features:

Built on OEM hardware with OEM control strategies

Uses proprietary AEMcal software for programming

Can control up to four independent electric motors/inverters

Link 3 independent controller area networks (CAN bus)

Primary Functions of the AEM VCU300:

Input characterization including accelerator pedal, brake switch, PRND switches, and other driver/vehicle inputs

Redundancy and arbitration features for all safety-critical inputs

Startup and shutdown sequencing of high voltage components, including independent contactor control for each inverter system

CAN message translation for BMS, inverter, PDUs, and other CAN accessories

Motor torque management dependent on vehicle operating states and other driver-selectable modes

Closed-loop motor speed regulation for indirect drive transmission applications

Dynamic torque limits that maximize safety and optimize performance

Accessory control of cooling pumps, cooling fans, lights and more

Diagnostics and fault detection including CAN message timeouts, thermal limits, contactor, and inverter enable cross-checks

Purchase the VCU300 Programmable EV Control Unit Here. 

If you have any questions about AEM Electronics or its products, please do not hesitate to contact us. You can reach us by phone at 1-480-966-3040 or via email at sales@vividracing.com.

[jeromeblinder]

FREIGHTLINER ( 19V810000 )

Dated: NOV 13, 2019 Daimler Trucks North America LLC (DTNA) is recalling certain 2019 Freightliner Business Class M2 vehicles equipped with a certain PowerDrive EV electric drivetrain. Due to a software error, the VCU m... FREIGHTLINER ( 19V810000 )

[safetyrecalls]

FREIGHTLINER ( 19V810000 )

Dated: NOV 13, 2019 Daimler Trucks North America LLC (DTNA) is recalling certain 2019 Freightliner Business Class M2 vehicles equipped with a certain PowerDrive EV electric drivetrain. Due to a software error, the VCU m...