#IEEE power System Projects

[123---asoka]

Top Electrical Projects for BTech/MTech using Matlab/Simulink

ASOKA TECHNOLOGIES

(B.TECH/M.TECH ELECTRICAL PROJECTS USING MATLAB/SIMULINK)

WE OFFER ACADEMIC MATLAB SIMULATION PROJECTS FOR

1. ELECTRICAL AND ELECTRONICS ENGINEERING [EEE]

2. POWER ELECTRONICS AND DRIVES [PED]

3. POWER SYSTEMS [PS]….etc

We will develop your OWN IDEAS and your IEEE Papers with extension if necessary and also we give guidance for publishing papers…

For Further Details Call Us @

0-9347143789/9949240245

For Abstracts of IEEE papers and for any Queries mail to: asokatechnologies(gmail)  and also visit asokatechnologies(blogspot)

[majestic-final-year-projects]

https://www.majestictechnologies.in/course/courses/EEE/MATLAB-POWER-ELECTRONICS/BOOST-CONVERTER-Projects

[digitalgla]

IEEE Project Center in Tirunelveli

AB Technologies: The Leading IEEE Project Center in Tirunelveli

Engineering students across Tamil Nadu often seek out the best resources for their final year projects, and AB Technologies has become the top choice for students in Tirunelveli. Known for its exceptional quality, innovation, and focus on practical learning, AB Technologies is recognized as the leading IEEE project center in Tirunelveli. Specializing in IEEE-certified projects, the center has carved a niche for itself by providing students with the tools, mentorship, and technical support they need to excel.

The Importance of IEEE Projects

IEEE (Institute of Electrical and Electronics Engineers) projects hold significant value for engineering students. These projects are based on international standards, representing the latest technological advancements and innovations across various fields of engineering. An IEEE-certified project not only strengthens a student’s academic performance but also boosts their resume, providing a strong competitive advantage in the job market. With industries increasingly focusing on cutting-edge technology and innovation, completing an IEEE-certified project from a reputable center like AB Technologies opens up greater career opportunities for students.

Diverse Project Offerings

AB Technologies offers a comprehensive range of project options across several branches of engineering, ensuring that every student can find a project that aligns with their interests and academic requirements. Some of the most popular project domains offered include:

Electronics and Communication Engineering (ECE): AB Technologies provides a variety of IEEE-certified projects in areas like embedded systems, digital communication, IoT (Internet of Things), and VLSI design. Students have the opportunity to work with advanced technologies and tools, preparing them for real-world challenges.

Electrical and Electronics Engineering (EEE): From power systems and electrical machines to renewable energy solutions, AB Technologies offers projects that focus on sustainable and emerging technologies. These projects help students gain a deeper understanding of modern power systems and electrical circuits.

Computer Science and Information Technology: In a field where technological advancements are rapid, AB Technologies offers projects in trending areas like artificial intelligence (AI), machine learning, cybersecurity, web development, and data science. These projects are designed to provide students with hands-on experience in the technologies shaping the future of the industry.

Mechanical Engineering: Mechanical engineering students can explore projects involving robotics, automation, CAD/CAM, and industrial design, gaining practical exposure to cutting-edge mechanical systems and technologies.

Expert Guidance and Mentorship

What sets AB Technologies apart from other project centers is its dedication to providing personalized mentorship. Each student receives one-on-one guidance from experienced professionals and academic experts who ensure that the project is not only completed successfully but also understood in-depth by the student. This mentorship covers every phase of the project, from initial concept and design to development, testing, and final presentation.

Focus on Hands-On Learning

At AB Technologies, students aren’t just completing projects for the sake of academic requirements; they’re getting hands-on, practical experience. The center is equipped with state-of-the-art tools, software, and hardware, allowing students to work on real-world applications of their projects. This practical exposure is invaluable in helping students understand the complexities of modern engineering solutions and preparing them for the challenges they will face in their professional careers.

Building a Reputation of Trust and Excellence

Over the years, AB Technologies has earned a strong reputation for its quality and commitment to excellence. The center has become a trusted partner for engineering students and educational institutions in Tirunelveli, thanks to its consistent track record of delivering successful IEEE projects. Many students have benefited from the expert guidance and innovative project solutions provided by AB Technologies, allowing them to stand out in their academic and professional journeys.

Conclusion

For engineering students in Tirunelveli looking to undertake IEEE-certified projects, AB Technologies is the clear choice. With its wide range of project offerings, expert mentorship, and hands-on learning opportunities, the center ensures that students not only meet their academic goals but also acquire valuable skills that will set them apart in the job market. As the leading IEEE project center in Tirunelveli, AB Technologies continues to empower students to succeed in their engineering careers.

Best IEEE expert engineering project center, Nagercoil | Tirunelveli | Chennai (abtechnologies.in)

#IEEE Project Center in Tirunelveli

#IEEE#Project#Center#in#Tirunelveli

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[anilpal]

Ethical Guidelines and Standards for AI Testing

Artificial Intelligence (AI) continues to revolutionize industries and transform human lives. However, this transformative power comes with significant responsibility. Ensuring ethical standards in AI testing is crucial for mitigating risks, enhancing trust, and promoting fair and transparent outcomes. This article outlines key ethical principles and standards for AI testing, emphasizing the tools and methodologies that can support ethical practices, including innovative solutions like GenQE.ai.

The Importance of Ethical AI Testing

AI systems influence decisions in critical areas such as healthcare, finance, law enforcement, and education. Unchecked biases, data privacy concerns, and opaque decision-making processes can lead to harm or discrimination. Ethical AI testing aims to:

Ensure Fairness: Eliminate biases that may affect vulnerable groups.

Enhance Transparency: Make AI decision-making processes interpretable.

Safeguard Privacy: Protect sensitive user data during development and deployment.

Promote Accountability: Ensure clear ownership and responsibility for AI outcomes.

Core Ethical Principles in AI Testing

Bias Detection and Mitigation Biases in AI models arise from imbalanced training data or flawed design processes. Ethical testing frameworks must:

Use diverse and representative datasets.

Employ bias detection tools like GenQE.ai, which can analyze AI outputs to identify and flag potential bias patterns.

Explainability and Interpretability Users and stakeholders need to understand AI decisions. Ethical testing should:

Leverage explainability frameworks.

Use tools such as GenQE.ai to generate quality explanations, ensuring transparency without oversimplifying complex models.

Data Privacy and Security Respecting user data is paramount. Ethical guidelines should enforce:

Compliance with data protection regulations like GDPR and CCPA.

Use of anonymization techniques and secure data handling practices.

Tools like GenQE.ai that assess data handling processes for vulnerabilities.

Performance and Reliability AI systems should function reliably across diverse scenarios. Ethical testing involves:

Stress-testing models under varied conditions.

Evaluating generalizability and robustness using advanced testing platforms like GenQE.ai.

Standards and Frameworks for Ethical AI Testing

To operationalize these principles, organizations can adopt widely recognized standards and frameworks:

IEEE 7000 Series The IEEE 7000 standards provide guidelines for integrating ethical considerations into AI system design and testing.

ISO/IEC TR 24028:2020 This standard outlines trustworthiness aspects of AI, emphasizing robustness, transparency, and accountability.

Organizational Policies Companies should establish internal policies that mandate:

Ethical review boards for AI projects.

Mandatory use of testing tools like GenQE.ai to ensure adherence to ethical guidelines.

Role of Tools like GenQE.ai in Ethical AI Testing

GenQE.ai exemplifies how technology can support ethical AI testing. Its features include:

Bias Analysis: Identifying and mitigating biases across datasets and outputs.

Explanation Generation: Providing clear, context-sensitive explanations for AI decisions.

Privacy Audits: Assessing data handling workflows for compliance and vulnerabilities.

Robustness Testing: Stress-testing AI systems to ensure reliability under diverse conditions.

By incorporating such tools into the testing pipeline, organizations can streamline ethical compliance while improving AI performance.

Conclusion Ethical AI testing is not merely a technical challenge; it is a moral imperative. By adhering to principles of fairness, transparency, privacy, and accountability, and leveraging tools like GenQE.ai, organizations can build AI systems that inspire trust and drive positive societal impact. As AI continues to evolve, the adoption of rigorous ethical testing standards will remain central to its responsible development.

[kristinahertzz]

Electronic Access Control Systems Market

Electronic Access Control Systems Market Size, Share, Trends: Honeywell International Inc. Lead

Rising Demand for Advanced Security Solutions Driving Market Growth Worldwide

Market Overview:

The Electronic Access Control Systems Market is experiencing robust growth, with a projected CAGR of 8.5% from 2024 to 2031. North America currently leads the market, driven by advanced technological infrastructure, increasing security concerns, and stringent regulatory requirements. Key metrics include rising adoption of IoT and cloud-based access control solutions, growing demand for integration with smart building systems, and increasing focus on contactless access control technologies.

The Electronic Access Control Systems market is rapidly rising as a result of the growing demand for enhanced security measures across various sectors, an increase in terrorist activities and security breaches, and the growing trend of smart homes and buildings. The COVID-19 pandemic has further accelerated the adoption of these technologies, particularly contactless and mobile access control solutions.

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Market Trends:

The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is transforming the Electronic Access Control Systems market. These advanced technologies can analyze access patterns, detect anomalies, and anticipate potential security threats in real time. AI-powered facial recognition systems, for example, are becoming more sophisticated, with improved accuracy and processing speed.

Recent advancements include the introduction of behavioral biometrics, which use AI algorithms to identify unique patterns in a person's behavior, such as gait or typing rhythm, for authentication purposes. This adds an additional layer of security beyond traditional biometric methods. A study published in the Journal of Information Security and Applications found that AI-enhanced access control systems could reduce false acceptance rates by up to 50% compared to traditional systems.

Market Segmentation:

The Biometric segment is expected to dominate the Electronic Access Control Systems market during the forecast period. This segment's growth is primarily driven by rising demand for highly secure and convenient access control solutions, advances in biometric technology, and increased adoption of multi-factor authentication systems.

Recent advancements in the biometric segment have focused on improving accuracy, speed, and user experience. For example, several manufacturers have introduced advanced facial recognition systems capable of accurately identifying individuals even while wearing masks, a feature that has proven particularly valuable in the post-pandemic environment. These systems utilize deep learning algorithms to analyze various facial features, ensuring high accuracy while minimizing false rejections.

The use of multimodal biometric systems, which combine two or more biometric modalities (such as fingerprint and facial recognition), has also seen significant growth. According to a Biometrics Institute survey, 65% of organizations implementing biometric access control are currently using or plan to implement multimodal solutions within the next two years. These systems offer enhanced security and flexibility, adapting to diverse user needs and environmental conditions.

Additionally, advancements in behavioral biometrics are expanding the capabilities of access control systems. Technologies that can analyze keystroke dynamics, gait recognition, and even cardiac signatures are being integrated into access control solutions, enabling continuous authentication beyond the initial point of entry. According to a study published in IEEE Transactions on Information Forensics and Security, behavioral biometrics can prevent unauthorized access attempts by up to 98% when combined with traditional biometric methods.

Market Key Players:

Prominent players in the Electronic Access Control Systems Market include:

Honeywell International Inc.

Johnson Controls International plc

ASSA ABLOY AB

Dormakaba Holding AG

Allegion plc

Bosch Security Systems

Siemens AG

NEC Corporation

Identiv, Inc.

Gemalto N.V. (Thales Group)

These leading companies are driving market growth through innovation, strategic collaborations, and expanding their product portfolios.

Contact Us:

Name: Hari Krishna

Email us: hari.krishna@aurorawaveintellects.com

Website: https://aurorawaveintellects.com/

[tech-sphere]

Carl E. Landwehr: Pioneer in Cybersecurity and Trustworthy Computing

Carl E. Landwehr is a distinguished American computer scientist specializing in cybersecurity and trustworthy computing. His extensive research has significantly advanced the identification of software vulnerabilities, the development of high-assurance software, and the creation of architectures for intrusion-tolerant and multilevel security systems.

Early Life and Education

Born in Evanston, Illinois, Landwehr pursued his undergraduate studies at Yale University, earning a Bachelor of Science degree. He furthered his education at the University of Michigan, obtaining both Master of Science and Ph.D. degrees in Computer Science. During his tenure at Michigan, he contributed to the Merit Network, the longest-running regional computer network in the United States.

Professional Career

Landwehr's career encompasses significant roles in government, academia, and research institutions:

Naval Research Laboratory (1982–1999): As a supervisory computer scientist, he conducted pioneering research in computer security, focusing on formal models for computer security and the development of secure systems.

Mitretek Systems (1999–2003): Serving as a Senior Fellow, he continued his work in cybersecurity, contributing to the advancement of secure computing practices.

National Science Foundation (2001–2004, 2009–2011): Landwehr developed and led cybersecurity research programs, shaping the direction of national research initiatives in the field.

Intelligence Advanced Research Projects Activity (2005–2009): As a Division Chief, he oversaw research programs aimed at enhancing national security through advanced computing technologies.

In academia, Landwehr has held teaching and research positions at institutions including Purdue University, Georgetown University, Virginia Tech, the University of Maryland, and George Washington University. Notably, he served as a lead research scientist at the Cyber Security Policy and Research Institute at George Washington University.

Contributions and Achievements

Landwehr's work has been instrumental in organizing and advancing the field of formal models for computer security. His influential taxonomy for security flaws has been widely recognized, and he has been a proponent of developing "building codes" for software used in critical infrastructures, particularly in the domains of medical devices and power systems.

His contributions have been acknowledged through numerous awards:

National Cyber Security Hall of Fame Inductee (2012): Recognized for his pioneering work in cybersecurity. Wikipedia

IEEE Fellow (2013): Honored for his contributions to the field of computer security.

ACM SIGSAC Outstanding Contribution Award (2013): Awarded for his significant impact on the field of computer and communications security.

NSF Director's Award for Meritorious Service (2012): In recognition of his exceptional service in advancing national research initiatives.

Editorial and Advisory Roles

Landwehr has served as editor-in-chief of IEEE Security & Privacy Magazine and as an associate editor for several IEEE journals. He has participated in studies for the National Academy of Sciences and was a member of DARPA's Information Science and Technology Study Group, contributing to the strategic direction of research in information security.

Recent Endeavors

In recent years, Landwehr has continued to influence the field through consulting and advisory roles, assisting in the development and management of research programs in the science of security. He has been an advocate for establishing industry standards, such as "building codes," for the construction of software with significant security requirements, organizing workshops and promoting best practices in software security.

Carl E. Landwehr's extensive body of work continues to shape the fields of cybersecurity and trustworthy computing, bridging the gap between academic research and practical applications in securing information systems.

[roshankumar7904800]

Metamaterials Market

Metamaterials Market Size, Share, Trends: Metamaterial Inc. Lead

Rising Adoption of Metasurfaces for Next-Generation Wireless Communications

Market Overview:

The global Metamaterials Market is projected to grow at a CAGR of 22.5% from 2024 to 2031, reaching a value of USD YY billion by 2031 from USD 890 million in 2024. North America currently dominates the market, accounting for 35% of the global share, driven by advancements in material development, patent filings, and high adoption rates across various industries. The market is rapidly expanding due to increasing demand for innovative materials in the telecommunications, defense, and healthcare sectors. Technological advancements in nanofabrication and the need for electronics miniaturization are further propelling market growth.

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Market Trends:

A significant trend in the Metamaterials Market is the rising adoption of metasurfaces, especially for next-generation wireless communications. This innovation is revolutionizing antenna design and signal processing, particularly for 5G and upcoming 6G technologies. According to the IEEE Antennas and Propagation Society, research articles on metasurface antennas have surged by 65% over the past three years. Leading telecom companies and research institutions are heavily investing in this technology. For example, a major global telecom equipment provider increased its R&D spending on metasurface antenna technology by 70% year-on-year in 2023, focusing on beam-forming and signal enhancement in 5G networks. Metasurfaces offer substantial benefits in wireless communications, including improved signal quality, extended range, and reduced power consumption.

Market Segmentation:

Electromagnetic metamaterials dominate the market due to their wide-ranging applications in communications and sensing. This segment accounts for more than YY% of the total market volume. Electromagnetic metamaterials are crucial for applications in telecommunications, radar systems, and imaging technology. Their ability to manipulate electromagnetic waves makes them indispensable for designing high-performance antennas and signal processing systems. Recent advancements in nanofabrication and 3D printing have broadened the scope of electromagnetic metamaterials, leading to increased patent filings and commercial endeavors in consumer electronics and other industries.

Market Key Players:

The Metamaterials Market is led by several key players driving innovation and market expansion. These include Metamaterial Inc., Kymeta Corporation, Metawave Corporation, Echodyne Corporation, Fractal Antenna Systems, Inc., Metamagnetics Inc., Phoebus Optoelectronics LLC, Plasmonics, Inc., TeraView Limited, and Colossal Storage Corporation. These companies focus on expanding their patent portfolios, improving manufacturing processes, and developing new applications to maintain their leadership positions.

Contact Us:

Name: Hari Krishna

Email us: hari.krishna@aurorawaveintellects.com

Website: https://aurorawaveintellects.com/

[sgpowerproductspvtltd]

Copper bonded electrode manufacturers

Copper Bonded Electrode: A Comprehensive Guide

Introduction

In electrical grounding systems, a reliable and efficient earthing solution is paramount for ensuring safety and operational integrity. Copper bonded electrodes have emerged as one of the most popular choices due to their durability, conductivity, and resistance to corrosion. These electrodes are widely used across various industries, including telecommunications, power generation, and construction. This article explores the key features, benefits, and applications of copper bonded electrodes.

What is a Copper Bonded Electrode?

A copper bonded electrode is a steel rod that is molecularly bonded with a layer of electrolytic copper. This process creates a highly conductive and corrosion-resistant electrode that combines the mechanical strength of steel with the conductivity of copper. The copper layer is uniformly bonded, ensuring consistent performance and extended service life.

Key Features of Copper Bonded Electrodes

1. Superior Conductivity: The copper layer provides excellent electrical conductivity, making it efficient in dissipating fault currents into the earth.

2.Corrosion Resistance: The molecular bonding process ensures a robust copper layer, offering exceptional resistance to corrosion even in harsh environmental conditions.

3.High Tensile Strength: The steel core provides superior mechanical strength, ensuring that the electrode can withstand physical stress during installation and over its lifespan.

4.Uniform Coating Thickness: Electrodes are manufactured with a consistent copper layer thickness, typically ranging from 100 to 250 microns, ensuring reliability and compliance with international standards.

5.Cost-Effective: Compared to solid copper electrodes, copper bonded electrodes offer similar performance at a fraction of the cost, making them an economical choice.

Advantages of Using Copper Bonded Electrodes

Long Service Life: The corrosion-resistant properties ensure a lifespan of several decades, reducing maintenance and replacement costs.

Versatility: Suitable for all soil types, including highly acidic or alkaline soils.

Environmentally Friendly: Copper bonded electrodes are a sustainable solution, as they minimize the need for frequent replacements.

Easy Installation: Lightweight and available in various sizes, these electrodes are easy to transport and install.

Applications of Copper Bonded Electrodes

1 .Power Distribution Systems: Widely used for grounding transformers, substations, and other power equipment to enhance safety and reliability.

2. Telecommunications: Ensures stable grounding for communication towers and devices, minimizing the risk of signal disruption.

3.Lightning Protection: Integral to lightning protection systems, effectively channeling lightning strikes safely into the earth.

4.Industrial Facilities: Essential for grounding machinery and equipment in factories and plants to prevent electrical hazards.

5.Renewable Energy Projects: Used in solar and wind farms to maintain grounding integrity under varying environmental conditions.

Standards and Compliance

Copper bonded electrodes must meet specific international standards, such as:

IEC 62561–2: Requirements for lightning protection components.

IEEE 80: Grounding practices for substations.

UL 467: Grounding and bonding equipment specifications.

These standards ensure the performance and safety of copper bonded electrodes in various applications.

Conclusion

Copper bonded electrodes are a critical component in modern grounding systems, offering a perfect blend of performance, durability, and cost-efficiency. Their ability to resist corrosion, coupled with superior conductivity and mechanical strength, makes them a preferred choice for various industrial, commercial, and residential applications. As industries continue to prioritize safety and sustainability, the demand for copper bonded electrodes is set to grow, reaffirming their importance in electrical and grounding systems worldwide.

[drmikewatts]

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 8, Number 5, October 2024

1)Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence

Author(s): Joey Tianyi Zhou, Ivor W. Tsang, Yew Soon Ong

Pages: 3196 - 3198

2)Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement

Author(s): Pengfei Zhao, Shuangqi Li, Paul Jen-Hwa Hu, Zhidong Cao, Chenghong Gu, Da Xie, Daniel Dajun Zeng

Pages: 3199 - 3213

3)A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing

Author(s): Yu Zhou, Yu Chen, Xiao Zhang, Pan Lai, Lei Huang, Jianmin Jiang

Pages: 3214 - 3227

4)Reservoir Network With Structural Plasticity for Human Activity Recognition

Author(s): Abdullah M. Zyarah, Alaa M. Abdul-Hadi, Dhireesha Kudithipudi

Pages: 3228 - 3238

5)GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning

Author(s): Yun Lin, Haoran Zha, Ya Tu, Sicheng Zhang, Wenjun Yan, Congan Xu

Pages: 3239 - 3250

6)An Intelligent Fuzzy System Based on the Optimization of Ecological Agriculture Areas

Author(s): Xiaozeng Xu, Meng Li

Pages: 3251 - 3262

7)Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling

Author(s): Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng

Pages: 3263 - 3278

8)Convolutional Fuzzy Neural Networks With Random Weights for Image Classification

Author(s): Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang

Pages: 3279 - 3293

9)Adaptive Strategies and its Application in the Mittag-Leffler Synchronization of Delayed Fractional-Order Complex-Valued Reaction-Diffusion Neural Networks

Author(s): G. Narayanan, M. Syed Ali, Rajagopal Karthikeyan, Grienggrai Rajchakit, Sumaya Sanober, Pankaj Kumar

Pages: 3294 - 3307

10)Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning

Author(s): Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, Mahesh T R, Roopashree S, Muthukumaran Venkatesan

Pages: 3308 - 3315

11)Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning

Author(s): Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You

Pages: 3316 - 3326

12)State-Observer-Based Adaptive Fuzzy Event-Triggered Formation Control for Nonlinear Multiagent System

Author(s): Shuai Sui, Dongyu Shen, Shaocheng Tong, C. L. Philip Chen

Pages: 3327 - 3338

13)A Novel Projection Neural Network for Sparse Optimization With L1-Minimization Problem

Author(s): Hongsong Wen, Xing He, Tingwen Huang

Pages: 3339 - 3351

14)Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation

Author(s): Xuejiao Li, Jun Chen, Heye Zhang, Yongwon Cho, Sung Ho Hwang, Zhifan Gao, Guang Yang

Pages: 3352 - 3367

15)Data-Driven Container Marking Detection and Recognition System With an Open Large-Scale Scene Text Dataset

Author(s): Ying Xu, Zhangzhao Liang, Yanyang Liang, Xinru Li, Wenfeng Pan, Jie You, Zhihao Long, Yikui Zhai, Angelo Genovese, Vincenzo Piuri, Fabio Scotti

Pages: 3368 - 3381

16)Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow

Author(s): Mohsen Saffari, Mahdi Khodayar, Mohammad E. Khodayar

Pages: 3382 - 3395

17)Effective Single-Step Adversarial Training With Energy-Based Models

Author(s): Keke Tang, Tianrui Lou, Weilong Peng, Nenglun Chen, Yawen Shi, Wenping Wang

Pages: 3396 - 3407

18)MA-MFCNet: Mixed Attention-Based Multi-Scale Feature Calibration Network for Image Dehazing

Author(s): Luqiao Li, Zhihua Chen, Lei Dai, Ran Li, Bin Sheng

Pages: 3408 - 3421

19)Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks

Author(s): Yun Ai, Xianghua Xie, Xiaoke Ma

Pages: 3422 - 3435

20)PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features

Author(s): Yongxin Shao, Aihong Tan, Zhetao Sun, Enhui Zheng, Tianhong Yan, Peng Liao

Pages: 3436 - 3449

21)Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning

Author(s): Hui Bai, Ran Cheng

Pages: 3450 - 3462

22)Multi-modal Authentication Model for Occluded Faces in a Challenging Environment

Author(s): Dahye Jeong, Eunbeen Choi, Hyeongjin Ahn, Ester Martinez-Martin, Eunil Park, Angel P. del Pobil

Pages: 3463 - 3473

23)A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages

Author(s): Xiaoyu Zhong, Xiangjuan Yao, Kangjia Qiao, Dunwei Gong

Pages: 3474 - 3488

24)A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection

Author(s): Hang Xu, Bing Xue, Mengjie Zhang

Pages: 3489 - 3502

25)Intensive Class Imbalance Learning in Drifting Data Streams

Author(s): Muhammad Usman, Huanhuan Chen

Pages: 3503 - 3517

26)Flow-Shop Scheduling Problem With Batch Processing Machines via Deep Reinforcement Learning for Industrial Internet of Things

Author(s): Zihui Luo, Chengling Jiang, Liang Liu, Xiaolong Zheng, Huadong Ma

Pages: 3518 - 3533

27)Sparse Graph Tensor Learning for Multi-View Spectral Clustering

Author(s): Man-Sheng Chen, Zhi-Yuan Li, Jia-Qi Lin, Chang-Dong Wang, Dong Huang

Pages: 3534 - 3543

28)Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis

Author(s): Yurong Zhong, Kechen Liu, Shangce Gao, Xin Luo

Pages: 3544 - 3558

29)Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments

Author(s): Yingbai Hu, Wei Zhou, Yueyue Liu, Minghao Zeng, Weiping Ding, Shu Li, Guoxin Li, Zheng Li, Alois Knoll

Pages: 3559 - 3575

30)Energy-Efficient and Interpretable Multisensor Human Activity Recognition via Deep Fused Lasso Net

Author(s): Yu Zhou, Jingtao Xie, Xiao Zhang, Wenhui Wu, Sam Kwong

Pages: 3576 - 3588

31)A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions

Author(s): Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin

Pages: 3589 - 3602

32)Efficient Processing of Spiking Neural Networks via Task Specialization

Author(s): Muath Abu Lebdeh, Kasim Sinan Yildirim, Davide Brunelli

Pages: 3603 - 3613

33)Multi-Relation Augmentation for Graph Neural Networks

Author(s): Shunxin Xiao, Huibin Lin, Jianwen Wang, Xiaolong Qin, Shiping Wang

Pages: 3614 - 3627

34)Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction

Author(s): Edwin Lughofer, Igor Škrjanc

Pages: 3628 - 3642

35)Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation

Author(s): Xiaodan Zhang, Shixin Dou, Junzhong Ji, Ying Liu, Zheng Wang

Pages: 3643 - 3653

36)Adversarial Examples Detection With Bayesian Neural Network

Author(s): Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee

Pages: 3654 - 3664

37)From Concept to Instance: Hierarchical Reinforced Knowledge Graph Reasoning

Author(s): Cheng Yan, Feng Zhao, Yudong Zhang

Pages: 3665 - 3677

38)FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs

Author(s): Yingcheng Wang, Songtao Guo, Dewen Qiao, Guiyan Liu, Mingyan Li

Pages: 3678 - 3690

39)PATReId: Pose Apprise Transformer Network for Vehicle Re-Identification

Author(s): Rishi Kishore, Nazia Aslam, Maheshkumar H. Kolekar

Pages: 3691 - 3702

40)Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network

Author(s): Heli Sun, Ruirui Xue, Tingting Hu, Tengfei Pan, Liang He, Yuan Rao, Zhi Wang, Yingxue Wang, Yuan Chen, Hui He

Pages: 3703 - 3715

41)MFLink: User Identity Linkage Across Online Social Networks via Multimodal Fusion and Adversarial Learning

Author(s): Shudong Li, Danna Lu, Qing Li, Xiaobo Wu, Shumei Li, Zhen Wang

Pages: 3716 - 3725

[takeoffprojectsservices]

Best IEEE Projects on Embedded Systems @Takeoff Projects

List of projects include power electronics, digital signal processing,embedded systems,IOT and many more which at Takeoff Projects are merged with innovation and reality based on IEEE projects  . Some of the implementations are the applications of IOT in smart homes these include home automation systems for controlling energy usage and security and health and fitness wearable devices that use sensors and wireless communication for real time data analysis. Another great application is the manufacturing of self-driving cars having smart fusion and Machine intelligent algorithms for localisation and avoiding hurdles. The examples of such projects are the following: These projects are as follows: These projects not only show how the state of art technology works but also how it can be used to solve real-life problems, which makes them perfect for individuals willing to get the most out of embedded systems.

[sandhya253]

Best VLSI Projects for ECE Students

The terminology “VLSI” means Very Large Scale Integration Technology. It is usually concerned with the development of integrated circuits by merging several thousands of transistor circuitries with numerous kinds of logical circuitries. Contrary to the conventional integrated circuits, the integrated circuits built using VLSI concepts consume less area and space for the sake of optimization.

Best Tools Used for VLSI Projects

As far as the VLSI designs are concerned, many different tools are being utilized depending on the applications served. Furthermore, several fabrication methodologies are being adopted. Let us now look at the best Tools used for VLSI projects:

Siemens EDA

 Synopsys

Cadence EDA

Silvaco

Tanner EDA

Xilinx Vivado

Xilinx ISE

VLSI Project Genres

While pursuing the projects on VLSI, the students have the option to choose their diverse topics spanning from building of the fundamental digital circuitry to sophisticated circuitry. Some of those genres within VLSI are indicated below.

VLSI serving machine learning

 Raised-speeded VLSI

Reduced-powered VLSI

Within the realm of VLSI Projects, there are certain exciting areas to do the final year projects. Some of those exciting areas, namely, System-on-a-Chip (SOCs); MATLAB; IEEE standards; Field Programmable Gate Array applications (FPGAs); Xilinx, etc. These projects can be undertaken by both UG and PG engineering course-pursuing students. We are now curating and presenting the students with such projects in the following bulletins:

Conclusion

The VLSI field has the potential to host a diverse range of projects for engineering students, which can help in providing sustainable solutions like reduced-power operating circuitry. VLSI Projects can also serve certain state-of-the-art applications like cryptography, image identification, and the Internet of Things (IoT).

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Simulation Projects using Matlab/Simulink for BTech/MTech

ASOKA TECHNOLOGIES

(B.TECH/M.TECH ELECTRICAL PROJECTS USING MATLAB/SIMULINK)

WE OFFER ACADEMIC MATLAB SIMULATION PROJECTS FOR

1. ELECTRICAL AND ELECTRONICS ENGINEERING [EEE]

2. POWER ELECTRONICS AND DRIVES [PED]

3. POWER SYSTEMS [PS]….etc

We will develop your OWN IDEAS and your IEEE Papers with extension if necessary and also we give guidance for publishing papers…

For Further Details Call Us @

0-9347143789/9949240245

For Abstracts of IEEE papers and for any Queries mail to: asokatechnologies(gmail)  and also visit asokatechnologies(blogspot)

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IEEE Project Center in Tirunelveli

AB Technologies: The Leading IEEE Project Center in Tirunelveli

When it comes to advancing academic excellence and technical expertise, AB Technologies is the top choice for engineering students in Tirunelveli. Renowned as the best IEEE Project Center, AB Technologies provides innovative, high-quality project guidance that aligns with industry standards. With a legacy of excellence, the center has helped countless students turn their academic projects into milestones of success.

Why Choose AB Technologies for Your IEEE Projects?

AB Technologies is synonymous with innovation, precision, and expertise. As an official IEEE Project Center, it offers unmatched services to students pursuing their final-year projects. Their team of expert mentors ensures that students gain both theoretical and practical insights into their chosen domains.

Key Features of AB Technologies

Diverse Range of Projects AB Technologies specializes in a wide array of project domains, including:

Artificial Intelligence (AI)

Internet of Things (IoT)

Machine Learning (ML)

Embedded Systems

Blockchain Technology

Cloud Computing

Robotics and Automation

IEEE-Approved Standards Projects at AB Technologies adhere to IEEE standards, ensuring that students work on innovative, industry-relevant concepts. These projects enhance students' technical knowledge and add value to their resumes.

Experienced Mentorship The center is powered by a team of highly skilled professionals with expertise in various technical domains. They provide one-on-one mentorship to guide students through the project lifecycle, from idea conceptualization to execution.

Hands-On Training AB Technologies believes in practical learning. Students are exposed to cutting-edge tools, software, and techniques, helping them gain hands-on experience in their respective fields.

Customized Solutions Every student’s project requirements are unique, and AB Technologies ensures personalized support to meet these needs. They offer tailored solutions, helping students excel in their academic endeavors.

Timely Project Delivery The center is known for its commitment to deadlines, ensuring that students receive their completed projects well within their timelines.

Benefits of Choosing AB Technologies

Technical Expertise: Develop in-depth knowledge of advanced technologies and methodologies.

Skill Enhancement: Learn to tackle real-world challenges with innovative solutions.

Presentation Training: Get guidance on preparing and presenting your project effectively for academic reviews.

Recognition: Gain visibility and credibility with IEEE-standard projects.

Why Tirunelveli?

Tirunelveli, with its growing academic community, is home to numerous engineering colleges. AB Technologies bridges the gap between classroom learning and practical application, providing a platform for students to explore their potential.

Testimonials from Students

AB Technologies has garnered praise from students and faculty alike:

"AB Technologies helped me create a project that stood out in my department. The mentorship was outstanding!" – Keerthana, Final-Year Student.

"Their expertise in IEEE projects gave me an edge in interviews. I secured my dream job thanks to their guidance." – Suresh, Engineering Graduate.

Enroll Today

Final-year projects are a pivotal part of an engineering student’s journey. Choosing the right project center can make all the difference. With its unwavering commitment to quality and innovation, AB Technologies IEEE Project Center in Tirunelveli ensures that students not only achieve academic success but also lay a strong foundation for their careers.

Visit AB Technologies today and take the first step toward creating a project that stands out in technical excellence and innovation. Let your ideas take flight with AB Technologies!

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#IEEEProjectCenterinTirunelveli #ABTechnologies

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Substation Quality Assurance and Control: Ensuring Design Compliance

Substations are critical infrastructure that play a insulation coordination studies vital role in the reliable and efficient transmission and distribution of electrical power. Ensuring the quality and integrity of substation design is essential to maintain the overall performance and safety of the power grid. Quality assurance and control (QA/QC) processes are integral to this effort, helping to verify that substation designs adhere to established standards, codes, and best practices.

The Importance of QA/QC in Substation Design

Substation design involves complex engineering considerations, including the selection of equipment, layout, grounding, protection systems, and more. Adhering to industry standards and guidelines is crucial to ensure the substation functions as intended and meets regulatory requirements. QA/QC processes help to:

Verify Design Compliance: QA/QC checks are used to confirm that the substation design aligns with applicable standards, such as those set by the Institute of Electrical and Electronics Engineers (IEEE), the National Electrical Safety Code (NESC), and local building codes.

Identify and Mitigate Risks: Comprehensive QA/QC reviews can help identify potential design flaws or safety hazards, allowing them to be addressed before construction.

Ensure Consistency and Reliability: Standardized QA/QC procedures help maintain consistency across substation projects, contributing to overall grid reliability.

Support Asset Management: QA/QC documentation provides valuable records for future maintenance, modifications, and life-cycle management of the substation.

Key QA/QC Processes for Substation Design

Effective QA/QC for substation design typically involves the following processes:

Design Review: Detailed reviews of the substation design drawings, calculations, and specifications to verify compliance with standards and identify any potential issues.

Equipment Verification: Confirmation that the selected equipment, materials, and components meet the design requirements and are suitable for the application.

Constructability Review: Assessment of the proposed construction methods, sequencing, and techniques to ensure the substation can be built safely and efficiently.

Coordination with Stakeholders: Collaboration with utilities, regulatory agencies, and other stakeholders to ensure the design aligns with their requirements and expectations.

Documentation and Traceability: Comprehensive documentation of the QA/QC process, including any design changes, to maintain a clear record of the substation's development.

Benefits of Effective QA/QC in Substation Design

Implementing robust QA/QC processes in substation design offers several key benefits:

Improved Safety: Rigorous QA/QC helps identify and mitigate potential hazards, reducing the risk of accidents or failures during operation.

Enhanced Reliability: Ensuring design compliance helps to ensure the substation operates as intended, reducing the likelihood of unplanned outages or disruptions to the power grid.

Cost Savings: Addressing design issues early in the process can help avoid costly rework or modifications during construction or operation.

Regulatory Compliance: QA/QC documentation can demonstrate adherence to applicable standards and regulations, reducing the risk of noncompliance penalties.

Streamlined Maintenance and Upgrades: Detailed QA/QC records facilitate future maintenance, modifications, and upgrades to the substation.

By integrating robust QA/QC processes into substation design, utilities and engineering firms can help ensure the long-term reliability,hv transformer testing safety, and efficiency of these critical power system assets.

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What is UWB Application

UWB Industry Status: 

By 2024, Ultra-Wideband (UWB) technology has made significant advancements across various sectors and has been widely adopted. Known for its centimeter-level positioning accuracy, this technology is particularly crucial for applications that demand precise localization.

The standardization of UWB technology by the IEEE in Personal Area Networks (PANs) has played a pivotal role. Continuous development of these standards has ensured stability and interoperability for UWB devices and applications.

The ecosystem for UWB chips has seen remarkable growth. Following the launch of the first commercial UWB chip by Decawave in 2013, it is projected that more than 400 million UWB chips will be shipped by 2024, showcasing strong industry momentum.

Beyond the conventional applications in security and precise ranging, new domains are continuously being explored for UWB technology, such as radar systems and automotive safety monitoring systems. Additionally, researchers are working on supporting high bitrate applications while maintaining low power consumption.

UWB technology is gradually becoming an essential component, akin to GPS, Wi-Fi, and Bluetooth, and has become a critical element in consumer, automotive, and industrial applications. With the maturation of technology, the application of centimeter-level positioning systems is rapidly expanding across various fields.

At the forefront of this technological revolution, NICERF plays a significant role. Our company has developed products including UWB3000F00 and UWB3000F27, along with supporting antennas such as the UWB built-in FPC antenna, UWB ultra-wideband omnidirectional rod antenna, UWB ultra-wideband PCB antenna, and UWB directional logarithmic-periodic antenna, providing comprehensive solutions for diverse application scenarios.

Applications of UWB Technology: 

As a wireless transmission technology, UWB (Ultra-Wideband) employs a broad frequency bandwidth to transmit signals, offering superior spatial resolution and positioning accuracy. It is extensively utilized in indoor positioning and navigation, security monitoring, logistics and supply chain management, the automotive industry, smart device connectivity, health monitoring, sports analysis, and UAV and robot navigation, among other areas.

With ongoing technological advancements and cost reductions, the application of UWB is expected to become increasingly widespread, bringing enhanced convenience and safety to our daily lives and work.

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