#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

##IEEEProjectCenterinTirunelveli

[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).

[seo1718]

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.

[g-nicerf]

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.

For details, please click：https://www.nicerf.com/products/ Or click：https://nicerf.en.alibaba.com/productlist.html?spm=a2700.shop_index.88.4.1fec2b006JKUsd For consultation, please contact NiceRF (Email: sales@nicerf.com).

[jcmarchi]

This tiny, tamper-proof ID tag can authenticate almost anything

New Post has been published on https://thedigitalinsider.com/this-tiny-tamper-proof-id-tag-can-authenticate-almost-anything/

This tiny, tamper-proof ID tag can authenticate almost anything

A few years ago, MIT researchers invented a cryptographic ID tag that is several times smaller and significantly cheaper than the traditional radio frequency tags (RFIDs) that are often affixed to products to verify their authenticity.

This tiny tag, which offers improved security over RFIDs, utilizes terahertz waves, which are smaller and have much higher frequencies than radio waves. But this terahertz tag shared a major security vulnerability with traditional RFIDs: A counterfeiter could peel the tag off a genuine item and reattach it to a fake, and the authentication system would be none the wiser.

The researchers have now surmounted this security vulnerability by leveraging terahertz waves to develop an antitampering ID tag that still offers the benefits of being tiny, cheap, and secure.

They mix microscopic metal particles into the glue that sticks the tag to an object, and then use terahertz waves to detect the unique pattern those particles form on the item’s surface. Akin to a fingerprint, this random glue pattern is used to authenticate the item, explains Eunseok Lee, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on the antitampering tag.

“These metal particles are essentially like mirrors for terahertz waves. If I spread a bunch of mirror pieces onto a surface and then shine light on that, depending on the orientation, size, and location of those mirrors, I would get a different reflected pattern. But if you peel the chip off and reattach it, you destroy that pattern,” adds Ruonan Han, an associate professor in EECS, who leads the Terahertz Integrated Electronics Group in the Research Laboratory of Electronics.

The researchers produced a light-powered antitampering tag that is about 4 square millimeters in size. They also demonstrated a machine-learning model that helps detect tampering by identifying similar glue pattern fingerprints with more than 99 percent accuracy.

Because the terahertz tag is so cheap to produce, it could be implemented throughout a massive supply chain. And its tiny size enables the tag to attach to items too small for traditional RFIDs, such as certain medical devices.

The paper, which will be presented at the IEEE Solid State Circuits Conference, is a collaboration between Han’s group and the Energy-Efficient Circuits and Systems Group of Anantha P. Chandrakasan, MIT’s chief innovation and strategy officer, dean of the MIT School of Engineering, and the Vannevar Bush Professor of EECS. Co-authors include EECS graduate students Xibi Chen, Maitryi Ashok, and Jaeyeon Won.

Preventing tampering

This research project was partly inspired by Han’s favorite car wash. The business stuck an RFID tag onto his windshield to authenticate his car wash membership. For added security, the tag was made from fragile paper so it would be destroyed if a less-than-honest customer tried to peel it off and stick it on a different windshield.

But that is not a terribly reliable way to prevent tampering. For instance, someone could use a solution to dissolve the glue and safely remove the fragile tag.

Rather than authenticating the tag, a better security solution is to authenticate the item itself, Han says. To achieve this, the researchers targeted the glue at the interface between the tag and the item’s surface.

Their antitampering tag contains a series of minuscule slots that enable terahertz waves to pass through the tag and strike microscopic metal particles that have been mixed into the glue.

Terahertz waves are small enough to detect the particles, whereas larger radio waves would not have enough sensitivity to see them. Also, using terahertz waves with a 1-millimeter wavelength allowed the researchers to make a chip that does not need a larger, off-chip antenna.

After passing through the tag and striking the object’s surface, terahertz waves are reflected, or backscattered, to a receiver for authentication. How those waves are backscattered depends on the distribution of metal particles that reflect them.

The researchers put multiple slots onto the chip so waves can strike different points on the object’s surface, capturing more information on the random distribution of particles.

“These responses are impossible to duplicate, as long as the glue interface is destroyed by a counterfeiter,” Han says.

A vendor would take an initial reading of the antitampering tag once it was stuck onto an item, and then store those data in the cloud, using them later for verification.

AI for authentication

But when it came time to test the antitampering tag, Lee ran into a problem: It was very difficult and time-consuming to take precise enough measurements to determine whether two glue patterns are a match.

He reached out to a friend in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and together they tackled the problem using AI. They trained a machine-learning model that could compare glue patterns and calculate their similarity with more than 99 percent accuracy.

“One drawback is that we had a limited data sample for this demonstration, but we could improve the neural network in the future if a large number of these tags were deployed in a supply chain, giving us a lot more data samples,” Lee says.

The authentication system is also limited by the fact that terahertz waves suffer from high levels of loss during transmission, so the sensor can only be about 4 centimeters from the tag to get an accurate reading. This distance wouldn’t be an issue for an application like barcode scanning, but it would be too short for some potential uses, such as in an automated highway toll booth. Also, the angle between the sensor and tag needs to be less than 10 degrees or the terahertz signal will degrade too much.

They plan to address these limitations in future work, and hope to inspire other researchers to be more optimistic about what can be accomplished with terahertz waves, despite the many technical challenges, says Han.

“One thing we really want to show here is that the application of the terahertz spectrum can go well beyond broadband wireless. In this case, you can use terahertz for ID, security, and authentication. There are a lot of possibilities out there,” he adds.

This work is supported, in part, by the U.S. National Science Foundation and the Korea Foundation for Advanced Studies.

[businessresearchreportss]

The Evolution of IoT in Healthcare Market: From Concept to Reality

The evolution of the Internet of Things (IoT) in the healthcare market has transformed the industry, moving from conceptual ideas to tangible applications that are reshaping patient care, medical research, and healthcare delivery.

Buy the Full Report for IoT in the Healthcare Industry Analysis, Download a Free Sample Report

Here's an overview of the journey from concept to reality:

Conceptualization Phase:

The concept of IoT in healthcare emerged from the recognition of the potential of interconnected devices and sensors to revolutionize medical monitoring, diagnosis, and treatment. Early discussions focused on leveraging IoT technologies to improve patient outcomes, enhance efficiency, and reduce healthcare costs.

Technological Advancements:

Rapid advancements in sensor technology, wireless connectivity, cloud computing, and data analytics laid the foundation for IoT solutions in healthcare. Miniaturization of sensors, improvements in battery life, and the development of low-power communication protocols enabled the deployment of IoT devices in various medical settings.

Pilot Projects and Proof of Concepts:

Healthcare providers, medical device manufacturers, and technology companies began conducting pilot projects and proof of concepts to test the feasibility and efficacy of IoT solutions in real-world healthcare settings. These initiatives focused on areas such as remote patient monitoring, chronic disease management, medication adherence, and preventive care.

Integration with Electronic Health Records (EHRs):

Integration of IoT devices with electronic health records (EHRs) and health information systems became a priority to enable seamless data sharing, interoperability, and accessibility of patient data. IoT-enabled medical devices began to communicate directly with EHR platforms, allowing healthcare providers to access real-time patient information and make data-driven decisions.

Expansion of Use Cases:

The scope of IoT applications in healthcare expanded to encompass a wide range of use cases, including telemedicine, wearable health trackers, smart hospital infrastructure, ambient assisted living, and personalized medicine. IoT-enabled devices and platforms empowered patients to actively participate in their healthcare management and enabled healthcare providers to deliver more personalized and proactive care.

Data Security and Privacy Concerns:

The proliferation of IoT devices in healthcare raised concerns about data security, patient privacy, and regulatory compliance. Healthcare organizations implemented robust cybersecurity measures, encryption protocols, and data privacy frameworks to protect sensitive health information and ensure compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA).

Regulatory Frameworks and Standards:

Regulatory agencies and standards organizations developed frameworks and guidelines specific to IoT in healthcare to address safety, efficacy, interoperability, and data security requirements. Standards such as Continua Health Alliance, ISO/IEEE 11073, and Fast Healthcare Interoperability Resources (FHIR) emerged to facilitate the adoption and integration of IoT technologies in healthcare.

Market Growth and Commercialization:

The IoT healthcare market witnessed significant growth as demand for connected medical devices, remote monitoring solutions, and digital health platforms surged. Technology companies, startups, and established healthcare providers capitalized on market opportunities, investing in research, development, and commercialization of IoT-enabled products and services.

Future Outlook:

The evolution of IoT in healthcare continues, with ongoing innovation in areas such as artificial intelligence (AI), machine learning, edge computing, and 5G connectivity. These advancements are expected to further enhance the capabilities of IoT solutions, enabling more precise diagnostics, personalized treatments, and predictive analytics to improve patient outcomes and healthcare delivery.

Overall, the journey of IoT in healthcare from concept to reality has been marked by technological innovation, regulatory scrutiny, and market adoption, with the potential to revolutionize the way healthcare is delivered and experienced in the future.

[123---asoka]

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)

[digitalgla]

Best IEEE Expert in Chennai

AB Technologies: The Best IEEE Expert in Chennai for Cutting-Edge Engineering Projects

In the ever-evolving world of technology, staying updated with the latest innovations is essential for aspiring engineers and professionals. One of the best ways to gain industry-relevant experience and knowledge is by working on IEEE-standard projects. For students and professionals in Chennai, AB Technologies has emerged as the go-to destination for all IEEE project needs. Known for its unparalleled expertise, innovation, and commitment to excellence, AB Technologies stands out as the best IEEE expert in the city.

Why IEEE Projects Matter

IEEE (Institute of Electrical and Electronics Engineers) is the world’s largest technical professional organization dedicated to advancing technology for humanity. Projects based on IEEE standards are highly regarded for their precision, innovation, and adherence to global industry practices. Completing an IEEE-aligned project can significantly boost a student’s academic profile and provide them with a strong foundation for a successful career in engineering, research, and technology.

However, creating a project that meets IEEE standards requires expert guidance, access to the latest tools, and in-depth technical knowledge. This is where AB Technologies excels.

Expertise Across Multiple Domains

AB Technologies specializes in delivering IEEE-standard projects across various engineering disciplines, including:

Electronics Engineering: Projects involving embedded systems, IoT, and VLSI design.

Electrical Engineering: Power systems, renewable energy, and smart grid technologies.

Computer Science: Artificial Intelligence, machine learning, cloud computing, and cybersecurity.

Communication Systems: Wireless networks, mobile communication, and satellite systems.

Their expertise ensures that students and professionals get access to a wide range of topics to choose from, with projects that meet the rigorous standards of IEEE.

Personalized Mentorship and Guidance

What sets AB Technologies apart is their dedication to offering personalized mentorship. Each project is handled with the utmost care, ensuring that the student or professional understands every aspect of the project, from ideation to execution. The expert team at AB Technologies guides students through every phase, providing insights into technical challenges and ensuring that the project stays aligned with IEEE standards.

Their hands-on approach ensures that students not only complete their projects successfully but also gain a deeper understanding of the underlying technologies and principles. This knowledge prepares them for future challenges, whether in higher education or in their professional careers.

Access to Advanced Tools and Resources

AB Technologies provides access to cutting-edge tools and resources, ensuring that students can work with the latest technologies. From advanced simulation software to high-end hardware, students are equipped with everything they need to complete their projects efficiently. This access to state-of-the-art resources gives students an edge in developing projects that are innovative, reliable, and industry-ready.

Proven Track Record of Success

Over the years, AB Technologies has built a stellar reputation as the best IEEE expert in Chennai. They have successfully guided hundreds of students through complex IEEE projects, many of which have been recognized for their excellence in academic institutions and professional circles. Their commitment to quality, innovation, and customer satisfaction has made them a trusted name in the engineering community.

Conclusion

For students and professionals looking to excel in their engineering careers, completing an IEEE-standard project is a crucial step. AB Technologies, with its vast expertise, personalized mentorship, and advanced resources, is the ideal partner for this journey. As the best IEEE expert in Chennai, they are dedicated to helping you achieve your academic and professional goals with innovative, high-quality IEEE projects.

Choose AB Technologies for your next IEEE project and experience the difference that expert guidance can make in your engineering career!

[xtruss]

This Tiny, Tamper-Proof ID Tag Can Authenticate Almost Anything

Massachusetts Institute of Technology (MIT) Engineers Developed a Tag That Can Reveal with Near-Perfect Accuracy Whether an Item is Real or Fake. The Key is in the Glue on the Back of the Tag.

— Adam Zewe | MIT News | Publication Date: February 18, 2024

A Few Years Ago, MIT Researchers Invented a Cryptographic ID Tag that is several times smaller and significantly cheaper than the traditional radio frequency tags (RFIDs) that are often affixed to products to verify their authenticity.

This tiny tag, which offers improved security over RFIDs, utilizes terahertz waves, which are smaller and travel much faster than radio waves. But this terahertz tag shared a major security vulnerability with traditional RFIDs: A counterfeiter could peel the tag off a genuine item and reattach it to a fake, and the authentication system would be none the wiser.

The researchers have now surmounted this security vulnerability by leveraging terahertz waves to develop an antitampering ID tag that still offers the benefits of being tiny, cheap, and secure.

They mix microscopic metal particles into the glue that sticks the tag to an object, and then use terahertz waves to detect the unique pattern those particles form on the item’s surface. Akin to a fingerprint, this random glue pattern is used to authenticate the item, explains Eunseok Lee, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on the antitampering tag.

“These metal particles are essentially like mirrors for terahertz waves. If I spread a bunch of mirror pieces onto a surface and then shine light on that, depending on the orientation, size, and location of those mirrors, I would get a different reflected pattern. But if you peel the chip off and reattach it, you destroy that pattern,” adds Ruonan Han, an associate professor in EECS, who leads the Terahertz Integrated Electronics Group in the Research Laboratory of Electronics.

The researchers produced a light-powered antitampering tag that is about 4 square millimeters in size. They also demonstrated a machine-learning model that helps detect tampering by identifying similar glue pattern fingerprints with more than 99 percent accuracy.

Because the terahertz tag is so cheap to produce, it could be implemented throughout a massive supply chain. And its tiny size enables the tag to attach to items too small for traditional RFIDs, such as certain medical devices.

The paper, which will be presented at the IEEE Solid State Circuits Conference, is a collaboration between Han’s group and the Energy-Efficient Circuits and Systems Group of Anantha P. Chandrakasan, MIT’s chief innovation and strategy officer, dean of the MIT School of Engineering, and the Vannevar Bush Professor of EECS. Co-authors include EECS graduate students Xibi Chen, Maitryi Ashok, and Jaeyeon Won.

Preventing Tampering

This research project was partly inspired by Han’s favorite car wash. The business stuck an RFID tag onto his windshield to authenticate his car wash membership. For added security, the tag was made from fragile paper so it would be destroyed if a less-than-honest customer tried to peel it off and stick it on a different windshield.

But that is not a terribly reliable way to prevent tampering. For instance, someone could use a solution to dissolve the glue and safely remove the fragile tag.

Rather than authenticating the tag, a better security solution is to authenticate the item itself, Han says. To achieve this, the researchers targeted the glue at the interface between the tag and the item’s surface.

Their antitampering tag contains a series of miniscule slots that enable terahertz waves to pass through the tag and strike microscopic metal particles that have been mixed into the glue.

Terahertz waves are small enough to detect the particles, whereas larger radio waves would not have enough sensitivity to see them. Also, using terahertz waves with a 1-millimeter wavelength allowed the researchers to make a chip that does not need a larger, off-chip antenna.

After passing through the tag and striking the object’s surface, terahertz waves are reflected, or backscattered, to a receiver for authentication. How those waves are backscattered depends on the distribution of metal particles that reflect them.

The researchers put multiple slots onto the chip so waves can strike different points on the object’s surface, capturing more information on the random distribution of particles.

“These responses are impossible to duplicate, as long as the glue interface is destroyed by a counterfeiter,” Han says.

A vendor would take an initial reading of the antitampering tag once it was stuck onto an item, and then store those data in the cloud, using them later for verification.

AI For Authentication

But when it came time to test the antitampering tag, Lee ran into a problem: It was very difficult and time-consuming to take precise enough measurements to determine whether two glue patterns are a match.

He reached out to a friend in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and together they tackled the problem using AI. They trained a machine-learning model that could compare glue patterns and calculate their similarity with more than 99 percent accuracy.

“One drawback is that we had a limited data sample for this demonstration, but we could improve the neural network in the future if a large number of these tags were deployed in a supply chain, giving us a lot more data samples,” Lee says.

The authentication system is also limited by the fact that terahertz waves suffer from high levels of loss during transmission, so the sensor can only be about 4 centimeters from the tag to get an accurate reading. This distance wouldn’t be an issue for an application like barcode scanning, but it would be too short for some potential uses, such as in an automated highway toll booth. Also, the angle between the sensor and tag needs to be less than 10 degrees or the terahertz signal will degrade too much.

They plan to address these limitations in future work, and hope to inspire other researchers to be more optimistic about what can be accomplished with terahertz waves, despite the many technical challenges, says Han.

“One thing we really want to show here is that the application of the terahertz spectrum can go well beyond broadband wireless. In this case, you can use terahertz for ID, security, and authentication. There are a lot of possibilities out there,” he adds.

This work is supported, in part, by the U.S. National Science Foundation and the Korea Foundation for Advanced Studies.

[sonali2345]

"Voltage Evolution: Key Players and Market Dynamics in Medium Voltage Transformers" 

A medium-voltage distribution transformer, also known as a secondary transformer, is a specific type of device designed to carry out the final voltage conversion within an electrical power distribution system. Its primary function is to step down the voltage from distribution lines to a level suitable for consumer use. The voltage levels typically referred to as "medium voltage" range between 5 kV and 35 kV. While some distribution voltages may exceed 35 kV and fall under the category of high voltage, the majority of the distribution system operates within the medium-voltage range.  

These modern distribution transformers are constructed in compliance with various standards, notably those set by IEEE (Institute of Electrical and Electronics Engineers) and IEC (International Electrotechnical Commission). The ongoing transformation of the transmission and distribution network, aimed at reducing losses, will necessitate the replacement of electrical components, including medium voltage transformers, which is expected to drive the market in the forecast period. 

Request Sample PDF of this report : https://www.alliedmarketresearch.com/request-toc-and-sample/13218  

Impact of COVID-19 

The global medium voltage transformer market has been significantly affected by the public health crisis caused by the COVID-19 pandemic. The growth of the global market is expected to be sluggish due to disruptions in the supply chain, leading to project delays in the power industry, particularly in the construction of medium voltage transformers. This disruption has directly impacted projects involving renewable energy sources. Many countries rely on China and other Southeast Asian nations for about 40% of their supply, making them particularly vulnerable to material shortages and transportation disruptions caused by the pandemic. These factors are likely to have a negative impact on the global medium voltage transformer industry. On a positive note, businesses engaged in dry-type transformers have witnessed increased activity on e-commerce and online platforms. In fact, some companies are experiencing higher growth rates compared to 2019. Schneider Electric, for instance, has successfully resumed manufacturing operations in China, indicating a recovery from the COVID-19 crisis. Moreover, the pandemic has prompted certain Asia-Pacific countries to embark on solar industry expansion projects, such as installing solar panels in residential and commercial sectors, as reported by the Asian Development Bank. These circumstances could potentially create investment opportunities in the medium voltage transformer market. 

Get a Customized Research Report @ https://www.alliedmarketresearch.com/request-for-customization/13218 

Major Influencing Factor 

Dry-type transformers, due to their leak-free and spill-free design, are environmentally friendly options. The global push towards eco-friendly solutions in power infrastructure upgrades is opening up international business prospects for medium voltage dry-type transformers. The demand for electricity is rising due to rapid urbanization in developing nations, as well as the expansion of transmission and distribution networks to accommodate renewable energy sources. These factors are driving the global medium voltage transformer market. However, the substantial investments required for establishing and modernizing power transmission and distribution networks, coupled with a lack of investment, are hindering market growth. 

Market Trends 

Introduction of New Products Schneider Electric has introduced the latest product in the medium voltage transformers market, Minera MP. This cost-effective solution optimizes the connection of power plants to supply systems and interconnects networks with varying voltage levels. Medium voltage dry-type transformers are commonly used in residential, industrial, and commercial settings for power distribution. These transformers convert high-voltage incoming power to lower voltage levels suitable for various applications. Dry-type transformers, being leak-free and spill-free, are ecologically friendly. The emphasis on environmentally friendly products in power infrastructure development creates global business opportunities for medium voltage dry-type transformers. The advantages of dry-type transformers over liquid-filled ones, along with increased investments in transmission and distribution networks in countries like India and China, present significant growth opportunities for manufacturers of medium voltage dry-type transformers during the forecast period. Asia-Pacific is experiencing a surge in power generation driven by growing demand, especially in the industrial sector, urbanization, rising middle-class population, and overall population growth in emerging economies. The region is expected to witness extensive transmission and distribution infrastructure projects to connect new power plants and rural areas to the power grid. Additionally, the construction and industrial sectors are thriving in the region. 

Enquiry Before Buying: https://www.alliedmarketresearch.com/purchase-enquiry/13218 

Key Report Benefits 

This study provides an analytical overview of the medium voltage transformers industry, highlighting current trends and future projections for potential investment opportunities. 

 The report presents insights into key drivers, challenges, and opportunities, accompanied by a detailed analysis of the medium voltage transformers market share. 

 Quantitative analysis of the current market showcases potential growth scenarios in the medium voltage transformers market.  

Porter’s five forces analysis illustrates the bargaining power of buyers and suppliers in the market. 

 A detailed analysis of the medium voltage transformers market is provided, focusing on competitive dynamics and the evolution of competition in the coming years. 

Highlights from the Medium Voltage Transformer Market Report 

Aspect Details Product Types Liquid-Filled Transformers Dry-Type Transformers Mounting Types Pad-Mounted Transformers Pole-Mounted Transformers Applications Residential Commercial Industrial Regions North America (U.S., Canada, Mexico) Europe (France, Germany, Italy, Spain, UK, Russia, Rest of Europe) Asia-Pacific (China, Japan, India, South Korea, Australia, Thailand, Malaysia, Indonesia, Rest of Asia-Pacific) LAMEA (Brazil, South Africa, Saudi Arabia, UAE, Argentina, Rest of LAMEA) Key Market Players Weg, Eaton, Chint, MGM Transformer Company, Olsun Electrics Corporation, Crompton Greaves, Jefferson Electric Transformers, SGB-SMIT, Mitsubishi Electric, Alce, Siemens, Schneider, GE, Hubbell, Hitachi ABB Power Grids, Efacec, Hammond Power Solutions, TWB 

[bespokesoftwaredevelopment-blog]

The Evolution of Fintech: Key Trends Shaping the Industry

Financial services have seen a great transformation in recent years, driven by the rise of fintech. Fintech has disrupted traditional financial processes and modernised the way we manage money, invest, and complete transactions. As we navigate this ever-changing landscape, it’s important to understand the key trends that are shaping the fintech industry.

Here are some notable trends that have emerged.

Mobile-First Approach

The last decade has seen a surge in smartphone usage becoming the normal, go-to way to transact finances. Mobile banking apps, payment apps, crypto exchange apps and other investment platforms have skyrocketed in popularity. According to a survey by YouGov, 85% of 18-24 year olds and 79% of 25-34 year olds are using mobile banking apps. Mobile transactions can also be completed through smartphone wallets, allowing for contactless payments in shops or while commuting. According to a recent study by IEEE, approximately 70% of surveyed tech experts said that they believe mobile payments will overtake cash and cards by the year 2030.

Check out a mobile payments project we completed E-Send, where we implemented 3rd party APIs to enable money remittance between different countries. If you would like to discuss building a Fintech app, get in touch with us today.

Artificial Intelligence (AI)

AI and machine learning are revolutionising fintech in several ways. Chatbots, robo-advisors, and AI algorithms improve customer efficiency, customer engagement, fraud and risk detection, as well as streamline financial services. These technologies are enhancing efficiency, reducing costs, and personalising the user experience. AI can also fast-track investment decision-making. Manual analysis of market trends, financial statements, risk assessments and other data is time-consuming and error-prone. AI can enable financial professionals to efficiently process large datasets, discover hidden patterns, and formulate valuable insights.

Read more about how AI-powered tools are transforming businesses

Open Banking

Open banking is still in its infancy but is expected to grow. These initiatives are reshaping the financial industry by permitting third-party providers to develop new financial products and services for customers and partner up with existing banking providers to offer interesting alternatives. Referring to a report by Polaris Market Research, open banking is predicted to reach a valuation of $128.12 billion by 2030. Furthermore, Finastra’s “Financial Services: State of the Nation Survey 2022” showed that 56% of surveyed financial users indicated open banking as a “must have,” up from 45% in 2021. This trend fosters competition and encourages innovation, as fintech startups and traditional banks collaborate to give customers more choices.

See how we are leveraging open-banking for ChurchDonate

Financial Inclusion

Underserved populations, such as those in rural areas, can be better served by Fintech. Mobile banking and apps are making it easier for people in remote areas to access financial services, transact money, and build credit histories. This trend in financial inclusion goes hand in hand with the new open banking innovations, making financial services less rigid and more flexibly aligned with modern living.

Sustainability and ESG Investing

A sustainable financial system creates, values and transacts financial assets using methods that serve the long-term needs of an inclusive, environmentally sustainable economy. Environmental, Social, and Governance (ESG) investing is gaining traction in fintech. Investors are now more interested in aligning their portfolios with ethical and sustainability goals. Fintech platforms are now offering ESG investment options and processes that can assess the environmental and social impact of investments. An example of this is Treecard, who offer a Mastercard® debit card made of sustainably sourced FSC wood and recycled plastic bottles, and uses the majority of transaction fee funds to plant trees.

Regulatory Sandboxes

Regulatory sandboxes are environments where fintech startups can test their innovations with limited regulatory restrictions. Such sandboxes permit new companies to test and develop their products and services more freely. They can expect a relaxing of specific legal and regulatory requirements, but it will include safeguards to contain the consequences of failure and uphold the safety and soundness of the financial system.

We Can Help

Fintech is evolving quickly, and aligning with new and exciting innovations to make the world a safer place to save, invest and transact money. We can help your Fintech company explore interesting ways to provide optimal support to customers and gain a robust reputation in the industry. If you’d like to learn more about building a Fintech app, or the fintech app development cost, contact us today.

This post originally appeared on Ficode website, and we republished it with permission from the author. Read the full piece here.