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Energy Management for PV-Powered EV Charging With Grid Integration and Battery Energy Storage System using Dung Beetle Optimizer

Energy Management for PV-Powered EV Charging With Grid Integ...

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Trends in Material Science and Inventive Materials (ICTMIM), International Conference on

作者： Neelashetty K Ruchira Rawat Doradla Raja Ramesh Gordhan Jethava Praful V. Nandanka Natrayan L Department of Electrical and Electronics Engineering Guru Nanak Dev Engg College Bidar Karnataka India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Department of Mechanical Engineering Sri Vasavi Institute of Engineering and Technology Nandamuru Andhra Pradesh India Information Technology Faculty of Engineering and Technology Parul Institute of Engineering and Technology Parul University Gujarat India Department of Electrical Engineering Government College of Engineering Nagpur Maharashtra India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

An Energy Management (EM) System for Photovoltaic (PV)-powered Electric Vehicle (EV) charging with grid integration and Battery Energy Storage System (BESS) optimizes energy consumption by integrating renewable energy, storage, and grid capabilities. However, drawbacks include the high initial costs associated with installation and infrastructure, as well as on-going operational costs for managing and maintaining both the storage and charging systems. Furthermore, the intermittency of solar energy can lead to inefficiencies in utilizing Renewable Energy Sources (RESs), requiring additional storage capacity to ensure a reliable power supply, while emissions from battery production, operation, and disposal may counteract some of the system’s environmental benefits. To overcome these drawbacks, this manuscript proposes an approach for EM for PV powered EV charging with BESS. The suggested method is Dung Beetle Optimizer (DBO). The major objective of this work is to reduce operational costs, improve energy efficiency, and lower carbon emissions by improving the use of renewable energy, minimizing grid reliance, and optimizing battery storage operations. The DBO optimizes the scheduling of EV charging, the operation of battery storage (charging and discharging cycles), and the interaction with the grid. Artificial Neural Network (ANN), Genetic Algorithm (GA), Adaptive Interaction Artificial Neural Network (AI-ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) are some of the existing methods that are compared with the suggested method once it is implemented in MATLAB. By achieving the lowest operational cost of 0.121M$/year and reducing carbon emissions to 505.73ktons, the suggested DBO method outperforms traditional approaches while maintaining high energy efficiency and environmental sustainability in PV-powered EV charging with BESS.

关键词： Photovoltaic systems Renewable energy sources Costs Battery energy storage system Carbon dioxide Artificial neural networks Electric vehicle charging Energy efficiency Batteries Genetic algorithms

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An Enhanced Deep Super-Resolution Generative Adversarial Network Approach for Skin Disease Image Regeneration and Assessment

An Enhanced Deep Super-Resolution Generative Adversarial Net...

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Electronic engineering (ICEEM), International Conference on

作者： Ibrahim Abd El-Fattah Taha E. Taha Walid El-Shafai Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf Egypt Department Electronics and Electrical Communications Engineering Alexandria Higher Institute of Engineering and Technology (AIET) Alexandria Egypt Computer Science Department Security Engineering Lab Prince Sultan University Riyadh Saudi Arabia

Skin cancer is a critical medical concern, posing significant challenges in accurate diagnosis. Algorithmic approaches have seen remarkable advancements across various occupations, including skin disease assessment. This study introduces a distinctive Improved Deep Super-Resolution Generative Adversarial Network (I_DSUR-GAN) methodology for regenerating low-resolution (LOR) skin disease images into super-resolution (SUR) format. Additionally, a modified SUR-dataset inspired by HAM10000 is presented for skin disease applications. The proposed approach incorporates a novel loss function design to provide supplementary information, facilitating the creation of high-quality SUR images. Experimental results demonstrate that our method outperforms existing approaches on the HAM10000 dataset. A comprehensive evaluation and employing sensitive metrics is conducted to assess the effectiveness, training periods, and memory requirements of the proposed framework. The outcomes reveal that the suggested model excels in restoring and identifying hue and texture compared to conventional and earlier models.

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Automated resource management system based on kubernetes technology 18

Automated resource management system based on kubernetes tec...

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18th International Conference on Electrical engineering/electronics, computer, Telecommunications and Information technology, ECTI-CON 2021

作者： Sithiyopasakul, Jirayus Archevapanich, Tuanjai Purahong, Boonchana Sithiyopasakul, Paisan Benjangkaprasert, Chawalit King Mongkut's Institute of Technology Ladkrabang School of Engineering Bangkok Thailand Rajamagala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronics and Communication Engineering Nonthaburi Thailand King Mongkut's Institute of Technology Ladkrabang School of Engineering Department of Computer Engineering Bangkok Thailand

ISBN: (纸本)9780738111278

The purpose of this research is intended to study and analyze the Kubernetes technology using the processes of performance evaluation by inspecting how many requests and responses could the server handle. According to the ability of Kubernetes technology, there is no systematic measure of performance despite the Kubernetes is currently in use broadly. Therefore, this paper proposed to test out the system by measuring the effectiveness according to a structured process by studying such measurement variables including the number of requests per second, number of responses to requests, and resource extension period with Kubernetes technology. Which from the testing and analysis of all three variables as mentioned, it is possible to know the efficiency of the Kubernetes technology in such a similar environment. Moreover, the testing experiment could display a piece of information on the dashboard for visualization and analytic purposes. © 2021 IEEE.

关键词： Information management

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Athletes movement tracking device for soccer players 18

Athletes movement tracking device for soccer players

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18th International Conference on Electrical engineering/electronics, computer, Telecommunications and Information technology, ECTI-CON 2021

作者： Archevapanich, Tuanjai Sithiyopasakul, Jirayus Sithiyopasakul, Jiran Sithiyopasakul, Paisan Anuwongpinit, Thanavit Purahong, Boonchana Rajamagala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronics and Communication Engineering Nonthaburi Thailand King Mongkut's Institute of Technology Ladkrabang School of Engineering Bankok Thailand King Mongkut's Institute of Technology Ladkrabang School of Engineering Department of Computer Engineering Bankok Thailand

ISBN: (纸本)9780738111278

This article presents the design and development of real-time tracking system using GPS for soccer players. The tracking system is separated into two parts including hardware and software sections. The hardware uses NodeMCUV3 which is connected to the GPS module that can receive a current position data of soccer players. After that, it processes and records the position data into the MicroSD card module. In the software section can display the heat map results from recorded data of soccer players. The main user is a soccer club manager which is responsible for monitoring the data that tested on the movement of the soccer player. For the experimental results, a device is tested, and the movement data is collected. Also, it is found that the tracking device could track the athlete's movements successfully. © 2021 IEEE.

关键词： Global positioning system

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Research on Blockchain: Privacy Protection of Cryptography Blockchain-Based Applications

Research on Blockchain: Privacy Protection of Cryptography B...

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Emerging Smart Technologies and Applications (eSmarTA), International Conference on

作者： Zhang Dayong Nur Haliza Abdul Wahab Khairunnisa A. Kadir Arafat Aldhaqm Haslinah Mohd Nasir Keng Yinn Wong Faculty of Computing Universiti Teknologi Malaysia Johor Malaysia Electronics & Computer Engineering Technology Department Universiti Teknikal Malaysia Melaka Durian Tunggal Melaka Faculty of Mechanical Universiti Teknologi Malaysa Johor Malaysia

Blockchain is a distributed database technology developed because of cryptocurrency, which has the characteristics of open and transparent ledger data. However, attackers will analyze ledger data to obtain sensitive information, threatening transaction privacy of users. Cryptography is the underlying technology of the blockchain to ensure the integrity and legitimacy of transactions in the blockchain. Providing privacy protection for the blockchain by studying cryptography has become a research hotspot in the blockchain. This paper introduces the cryptography technology in the blockchain, summarizes the privacy protection problems existing in the current blockchain, and expounds the existing cryptography solutions and the advantages and disadvantages of each scheme. Finally, the future research directions of cryptography in blockchain are summarized and prospected.

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Knapsack Encryption with Elliptic Curve Cryptography Based Secured Wireless Network

Knapsack Encryption with Elliptic Curve Cryptography Based S...

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International Conference on Edge Computing and Applications (ICECAA)

作者： V. Arun P.G. Kuppusamy G. Naveen P. Santhuja Department of Computing Technologies Faculty of Engineering and Technology School of Computing SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Department of Electronics and Communication Engineering Siddharth Institue of Engineering & Technology (SIETK) Puttur Andhra Pradesh India Department of Electronics and Communication Engineering Jagannath Institute of Technology Chengalpattu Tamil Nadu India Department of Computer Science and Engineering B V Raju Institute of Technology Hyderabad Telangana India

This research study discusses about the prospective future research areas while presenting the state-of-the-art in wireless network cryptography. Elliptic Curve Cryptography (ECC) offers a safe way for interacting nodes to exchange keys. In order to implement ECC, the message is first converted into an affine point on the Elliptic Curve (EC), and then the knapsack method is applied to the ECC-encrypted message across the finite field. This approach presents Knapsack Encryption with ECC Algorithm (KECC) for improving data security in wireless networks. The data is encrypted by using the knapsack algorithm and the ECC algorithm. The necessary encrypted data is forwarded to the receiver via in-between nodes. As a result, it avoids the man-in-the-middle attack. Experimental results prove that the KECC strategy increases the forward ratio. In addition, it reduces the key generation, encryption, as well as decryption computational time.

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Modern Manufacturing for Alloy Wheel Defect Detection using Image Processing and Application

Modern Manufacturing for Alloy Wheel Defect Detection using ...

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IEEE International Conference on computer Communication and the Internet (ICCCI)

作者： Tuaniai Archevapanich Woranidtha Krungseanmuang Vasutorn Chaowalittawin Posathip Sathaporn Punyisa Chaowalittawin Boonchana Purahong Department of Electronics and Communication Engineering Faculty of Engineering and Architecture Rajamagala University of Technology Suvarnabhumi Nonthaburi Thailand Department of Robotics and Computational Intelligent Systems School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Indusstrail Physics School of Science Bangkok Thailand Department of Computer Engineering School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (数字)9798350351767

ISBN: (纸本)9798350351774

This paper presents an innovative approach to identifying defects in alloy wheel production by integrating image processing techniques with a mobile application platform. The system receives X-ray alloy images from the factory via mobile phone, processes them using image processing techniques to enhance clarity and readiness for defect detection, and then transmits the processed images to a Django framework via a uniform resource locator (URL). Subsequently, the system detects defects in the images, encodes them in Base64 format, and sends them to the mobile application through an API (Application Program Interface) for display on the user interface. This well-designed system architecture offers manufacturers a comprehensive solution to ensure product quality, reduce costs, and enhance customer satisfaction.

关键词： Uniform resource locators Image processing Metals Wheels Systems architecture User interfaces Mobile applications

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The Optimal Shape of the Surface Hardening Head Obtained by Numerical Modeling

The Optimal Shape of the Surface Hardening Head Obtained by ...

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International Conference on electronics, computers and Artificial Intelligence (ECAI)

作者： Mihaela Cornelia Novac Marius Codrean Mircea Gordan Mihaela Codrean Mihai Oproescu Ovidiu Constantin Novac Francisc Slovac Department of Electrical Engineering Electrical Engineering and Information Technology Faculty University of Oradea Oradea Romania National Geothermal Research Center Technology Transfer Center NGRC-TTC University of Oradea Oradea Romania Department of Elecytronics Faculty of Electronics Communication and Computer Science Computers and Electrical Engineering University of Pitesti Pitesti Romania Department of Computers and Information Technology Electrical Engineering and Information Technology Faculty University of Oradea Oradea Romania

This paper presents some aspects of the numerical modeling performed in order to study the process of induction heating applied to a workpiece, using Flux 2D and FEMM (Finite Element Method Magnetics), two software tools specifically designed for electromagnetic simulations. The paper presents a significant technical finding regarding the optimal shape of the surface hardening head. Various shapes of the inductor were analyzed, focusing on solving the eddy current problem using the commercial program FEMM. The induction heating process was numerically simulated using the FLUX 2D program for a semi-finished punch made of OLC 45 steel, specifically for hot surface heat treatment. The simulations were conducted utilizing the program's simulation capabilities.

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PAPR Reduction in MIMO-OFDM using Nonlinear Inertia Weight Factor of Whale Optimization Algorithm

PAPR Reduction in MIMO-OFDM using Nonlinear Inertia Weight F...

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Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Mohammed I. Habelalmateen R Archana Reddy Chetana Reddy N. Nagarjuna Pradeep Kumar S Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat Johor Malaysia Department of Computer Technical Engineering College of Technical Engineering the Islamic University Najaf Iraq School of Computer Science and Artificial Intelligence SR University Telangana India Department of Electronics and Communication Oxford College of Engineering Bangalore Department of CSIT CVR College of Engineering Hyderabad India Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bengaluru India

In the landscape of optimization for mitigating the Peak-to-Average Power Ratio (PAPR) in Multiple-Input Multiple-Output and Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, prevalent techniques like the tone reservation scheme and l-norm Cyclic Algorithm (LNCA) algorithm grapple with inherent challenges linked to computational complexity and iterative algorithm derivation. While strides have been made with models such as Twin Symbol Hybrid Optimization by the premise of Partial Transmit Sequence (TSHO-PTS) and Advanced Switching Differential Evolution (ASDE), persistent concerns related to symbol overlaps and algorithmic limitations underscore the need for further refinement in computational efficiency within OFDM-based communication systems. In response to these challenges, the proposed Nonlinear Inertia Weight Factor within the Whale Optimization Algorithm (NIWF-WOA) emerges as a solution. Comparative analysis against existing methods like LCNA, Modified Dragonfly Optimization algorithm (MDOA), TSHO-PTS, and ASDE reveals the superior performance of NIWF-WOA. Numerical validation affirms its efficacy, with a recorded in Bit Error Rate (BER) of 10 −2.5 , SNR 10 −3.4 and PAPR of . 10 −4.2 , underscoring the substantial improvement achieved by NIWF-WOA in optimizing PAPR reduction for MIMO-OFDM systems.

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Temperature characteristics of Gate all around nanowire channel Si-TFET 5

Temperature characteristics of Gate all around nanowire chan...

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5th International Conference on Electronic Design, ICED 2020

作者： Agha, Firas Natheer Abdul-Kadir Hashim, Yasir Abdullah, Waheb Abduljabbar Shaif Department of Electrical Engineering College of Engineering University of Mosul Mosul Iraq Department of Computer Engineering Faculty of Engineering Tishk International University Erbil-Kurdistan Iraq Faculty of Electrical and Electronics Engineering Technology Universiti Malaysia Pahan Pekan Pahang Darul Makmur26600 Malaysia

This paper study the impact of working temperature on the electrical characteristics of gate all around nanowire channel Si-TFET and examines the effect of working temperature on threshold voltage, transcondactance (gm), ION/IOFF ratio, drain induced barrier lowering (DIBL), and sub-threshold swing (SS). The (Silvaco) simulation tool has been used to investigate the working temperature on the Si-TFET characteristics. The temperature range in this study is from-25 to 150 C. The results indicate that the TFET must work in electronic circuits with the lower temperature as possible to get better performances. Furthermore, the TFET has good performances as a temperature nanosensor with diode connection mode under ON conditions. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Nanowires

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