International journal of electrical & electronics research最新文献_第2页

Robust medical image watermarking in frequency domain 频域鲁棒医学图像水印

International journal of electrical & electronics research Pub Date : 2023-09-28 DOI: 10.37391/ijeer.110333

Roop Singh, Pavan Kumar Shukla, Tarun Kumar, Vinod M Kapse

引用次数: 0

Performance Enhancement of CNFET-based Approximate Compressor for Error Resilient Image Processing 基于cnfet近似压缩器的抗误差图像处理性能增强

International journal of electrical & electronics research Pub Date : 2023-09-28 DOI: 10.37391/ijeer.110332

Swetha Siliveri, Dr. N. Siva Sankara Reddy

{"title":"Performance Enhancement of CNFET-based Approximate Compressor for Error Resilient Image Processing","authors":"Swetha Siliveri, Dr. N. Siva Sankara Reddy","doi":"10.37391/ijeer.110332","DOIUrl":"https://doi.org/10.37391/ijeer.110332","url":null,"abstract":"The approximate computing has emerged as an appealing approach to minimize energy consumption. By implementing inexact circuits at the transistor level, significant enhancements in various performance metrics such as power consumption, delay, energy, and area can be achieved. Consequently, researchers worldwide have been actively exploring the application of inexact techniques in circuit design. This paper introduces a novel technique for designing low-power digital circuits called extremely low power modified gate diffusion input (ELP-MGDI). This technique combines the principles of Modified Gate Diffusion Input with the utilization of Carbon Nano Tube Field-Effect Transistors (CNTFETs). The Objective of this paper is to enhance the power, delay, and area characteristics of a 4:2 compressor and multiplier by employing ELP-MGDI approach. To achieve this, we conducted thorough analysis and simulations using the Verilog-A simulator 32 nm CNFET technology Stanford University within the Cadence Virtuoso Tool. The results show extremely power, delay reduction and power-delay-product (PDP) of approximate multiplier has been improved by over 99%, and the circuit area has been reduced by 55%. The proposed processing module demonstrates superior performance compared to their conventional counterparts.","PeriodicalId":491088,"journal":{"name":"International journal of electrical & electronics research","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135426552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancements in Machine Learning-Based Face Mask Detection: A Review of Methods and Challenges 基于机器学习的人脸检测研究进展:方法与挑战综述

International journal of electrical & electronics research Pub Date : 2023-09-25 DOI: 10.37391/ijeer.110331

Maad Shatnawi, Khawlax Alhanaee, Mitha Alhammadi, Nahla Almenhali

{"title":"Advancements in Machine Learning-Based Face Mask Detection: A Review of Methods and Challenges","authors":"Maad Shatnawi, Khawlax Alhanaee, Mitha Alhammadi, Nahla Almenhali","doi":"10.37391/ijeer.110331","DOIUrl":"https://doi.org/10.37391/ijeer.110331","url":null,"abstract":"Wearing face masks is crucial in various environments, particularly where there is high potential of viral transmission. Proper wearing of face masks always is important in hospitals and healthcare facilities where the risk of transmission of different contagious diseases is very high. The COVID-19 pandemic has been recognized as a global health crisis, exerting deep impacts on various sectors such as industry, economy, public transportation, education, and residential domains. This rapidly spreading virus has created considerable public health risks, resulting in serious health consequences and fatalities. Wearing face masks in public locations and crowded regions has been identified as one of the most effective preventive methods for reducing viral transmission. Using powerful face mask detection systems in such contexts can thus significantly improve infection control efforts while protecting the health and well-being of healthcare personnel, patients, and visitors. In this paper, we present a comprehensive review of recent advancements in machine learning techniques applied to face mask identification. The existing approaches in this sector can be broadly categorized into three main groups: mask/no mask detection approaches, proper/improper mask detection approaches, and human identification through masked faces approaches. We discuss the advantages and limitations associated with each approach. Further, we explore into the technical challenges encountered in this field. Through this study, we aim to provide researchers and practitioners with a comprehensive understanding of the state-of-the-art machine learning techniques for face mask detection.","PeriodicalId":491088,"journal":{"name":"International journal of electrical & electronics research","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135866310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimation of Common Mode noise and Differential Mode noise generated by DC-DC Power Converters DC-DC电源变换器产生的共模噪声和差模噪声的估计

International journal of electrical & electronics research Pub Date : 2023-09-25 DOI: 10.37391/ijeer.110330

Pathala Venkata Sai Charishma, Pappu.V. Y Jayasree

{"title":"Estimation of Common Mode noise and Differential Mode noise generated by DC-DC Power Converters","authors":"Pathala Venkata Sai Charishma, Pappu.V. Y Jayasree","doi":"10.37391/ijeer.110330","DOIUrl":"https://doi.org/10.37391/ijeer.110330","url":null,"abstract":"The study contains a review of the body of knowledge regarding differential mode (DM) and common mode (CM)noise and how they affect power converter performance. With an emphasis on practical application, this work seeks to give an estimation of differential mode (DM) and common mode (CM) noise for cutting-edge DC-DC power converters such as Zeta converters, Single Ended Primary Inductance Converters (SEPIC), and Cuk converters. Active noise separators and Differential mode noise separators are used as a measurement technique to quantify DM and CM noise, considering a number of variables including input voltage, output voltage, load current, and switching frequency. By using filtering techniques, DM and CM noise can be reduced. Both CM noise and DM noise are created by the Zeta converter at 114 dBµV and 108 dBµV, respectively. CM noise from the SEPIC converter is 119 dBµV, and DM noise is 114 dBµV. With values of CM noise 98 dBµV and DM noise 106 dBµV, Cuk converter produces less noise when compared to Zeta and SEPIC converter. The results show that power converters can generate DM and CM noise, and that this noise is over the Comité International Special des Perturbations Radioélectriques [CISPR] limit line. The conducted emission range for various electronic devices is provided by this standard. This study provides useful insights for power converter designers and engineers to optimize the performance of their systems in practical applications.","PeriodicalId":491088,"journal":{"name":"International journal of electrical & electronics research","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135866309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Power Optimized VLSI Architecture of Distributed Arithmetic Based Block LMS Adaptive Filter 基于分布式算法的块LMS自适应滤波器的功耗优化VLSI结构

International journal of electrical & electronics research Pub Date : 2023-09-23 DOI: 10.37391/ijeer.110320

Gangadharaiah S. L, C. K Narayanappa, Divya M.N, Navaneet S, Dushyant N

{"title":"Power Optimized VLSI Architecture of Distributed Arithmetic Based Block LMS Adaptive Filter","authors":"Gangadharaiah S. L, C. K Narayanappa, Divya M.N, Navaneet S, Dushyant N","doi":"10.37391/ijeer.110320","DOIUrl":"https://doi.org/10.37391/ijeer.110320","url":null,"abstract":"In this paper, we are presenting a power-efficient Distributed Arithmetic (DA) based Block Least Mean Square (BLMS) Adaptive Digital Filter (ADF). The proposed DA BLMS architecture proposes a shared area-efficient Multiplier Accumulate Block that calculates both the partial filter products and the weight increment terms in the same module. It also uses Multiplexers (MUX) and Demultiplexers (DEMUX) which passes only L out of N inputs, where N and L are the filter length and chosen block size respectively, into the MAC thus helping in achieving the DA functionality along with reduced power consumption. Also, efficient truncation of the obtained error and weight update terms is performed by being able to select the non-zero-bit part of the signal to be fed back. The entire architecture is driven by a single slow clock which reduces the power consumption of the device further. On comparing with the best existing DA BLMS Structures, the proposed architecture uses 15% lesser power, 14% lesser EPS according to ASIC Synthesis, and for a filter length of N=16 and a block size of L=4 respectively.","PeriodicalId":491088,"journal":{"name":"International journal of electrical & electronics research","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136011463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Adaptive Grid Search Based Efficient Ensemble Model for Covid-19 Classification in Chest X-Ray Scans 基于自适应网格搜索的高效集成模型用于胸部x射线扫描中Covid-19分类

International journal of electrical & electronics research Pub Date : 2023-09-23 DOI: 10.37391/ijeer.110324

P. V. Naresh, R. Visalakshi

引用次数: 0

Deep Learning Method of Predicting MANET Lifetime Using Graph Adversarial Network Routing 基于图对抗网络路由的深度学习预测MANET寿命方法

International journal of electrical & electronics research Pub Date : 2023-09-23 DOI: 10.37391/ijeer.110326

Mohanaprakash T A, Mary Subaja Christo, M Vivekanandan, M. Madhu Rani, Therasa M

{"title":"Deep Learning Method of Predicting MANET Lifetime Using Graph Adversarial Network Routing","authors":"Mohanaprakash T A, Mary Subaja Christo, M Vivekanandan, M. Madhu Rani, Therasa M","doi":"10.37391/ijeer.110326","DOIUrl":"https://doi.org/10.37391/ijeer.110326","url":null,"abstract":"The prominence of mobile ad-hoc networks (MANETs) is on the rise. Within the domain of machine learning, a specialized subset known as deep learning (DL) employs diverse methodologies, each providing unique interpretations of the data it processes. In existing system the vulnerabilities of MANETs to security threats stem from factors such as node mobility, the potential for MANETs to provide economical solutions to real-world communication challenges, decentralized management, and constrained bandwidth. The efficacy of encryption and authentication methods in safeguarding MANETs encounters limitations. Intelligence will be the future development direction of network adaptive optimization technology in response to the increasingly complex mobile communication network. Data from mobile communication is a crucial part of the future information society. This paper propose adaptive optimization scheme , employs a machine learning algorithm that is capable of realizing the optimal parameter configuration and coordinating various optimization objectives in response to changes in state and environment. The coordination and advancement of social, versatile and area administrations make the customary informal organization easily change to portable correspondence organization. Creation of a system that can learn some rules from data and apply them to subsequent data processing is the research objective. This paper examines the machine learning-based algorithm for big data analysis and effectively addresses the issue of communication network data using graph theory and the experimental result shows higher lifetime prediction accuracy compare to previous system.","PeriodicalId":491088,"journal":{"name":"International journal of electrical & electronics research","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136011467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Addressing Power Loss and Voltage Profile Issues in Electrical Distribution Systems: A Novel Approach Using Polar Bear Gradient-Based Optimization 解决配电系统中的功率损耗和电压分布问题:一种使用北极熊梯度优化的新方法

International journal of electrical & electronics research Pub Date : 2023-09-23 DOI: 10.37391/ijeer.110323

Dr. M. Rama Prasad Reddy, Chodagam Srinivas, Bireddi Eswararao, Rajendraprasad Kuriti, Dr. M. Koteswara Rao

{"title":"Addressing Power Loss and Voltage Profile Issues in Electrical Distribution Systems: A Novel Approach Using Polar Bear Gradient-Based Optimization","authors":"Dr. M. Rama Prasad Reddy, Chodagam Srinivas, Bireddi Eswararao, Rajendraprasad Kuriti, Dr. M. Koteswara Rao","doi":"10.37391/ijeer.110323","DOIUrl":"https://doi.org/10.37391/ijeer.110323","url":null,"abstract":"Energy is an essential commodity for everyone, with electrical energy being the most preferred form. Unfortunately, non-renewable energy resources are gradually depleting, and renewable energy sources take several years to establish. To mitigate this problem, technology has shifted from non-renewable energy sources to electrical devices and machines, including household appliances like washing machines and air conditioners. However, the generation of electricity is still inadequate to meet the growing demand. This leads to two major problems: high power loss and poor voltage profile, making it difficult for power distribution companies to ensure a consistent and reliable power supply. This paper aims to address the reduction and minimization of power losses by adjusting distribution side transformer tap settings using the polar bear gradient-based optimization. The proposed approach uses the 14-bus system as a reference and calculates losses for this system using the backward-forward sweeping technique. The results are compared with standard PSO algorithm; the proposed strategy shows superior results.","PeriodicalId":491088,"journal":{"name":"International journal of electrical & electronics research","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136011470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Black Widow Optimized Controller Approach for Automatic Generation Control in Modern Hybrid Power Systems 现代混合动力系统自动发电控制中的一种新的黑寡妇优化控制器方法

International journal of electrical & electronics research Pub Date : 2023-09-23 DOI: 10.37391/ijeer.110328

Kanika Wadhwa, S. K. Gupta

{"title":"A Novel Black Widow Optimized Controller Approach for Automatic Generation Control in Modern Hybrid Power Systems","authors":"Kanika Wadhwa, S. K. Gupta","doi":"10.37391/ijeer.110328","DOIUrl":"https://doi.org/10.37391/ijeer.110328","url":null,"abstract":"This research paper demonstrates an application of the Black Widow Optimization (BWO) approach to address the issue of load-frequency control (LFC) in networked power systems. BWO is an innovative metaheuristic method that quickly suggests technique is initially evaluated on a non-reheat thermal-thermal (NRTT) power system spanning two areas of interconnection, and then it is applied to two different actual power systems: (a) a two-area thermal-thermal considering Generation Rate Constraint (GRC); and (b) a two-area having thermal, hydro, wind, solar, and gas systems. The BWO method uses two fitness functions based on integral time multiplied absolute error (ITAE) and integral square error (ISE) to optimize controller gains. The suggested BWO algorithm's performance has been compared to that of existing meta-heuristic optimization methods, such as grey wolf optimization (GWO), comprehensive learning particle swarm optimization (CLPSO), and an ensemble of parameters in differential evolution (EPSDE). The simulation results show that BWO's tuning skills are better than other population-based planning methods like CLPSO, EPSDE, and GWO. The ITAE value is enhanced by 33.28% (GWO), 40.28% (EPSDE), and 43.27% (CLPSO) when the BWO algorithm is used in conjunction with the PID Controller for thermal system.","PeriodicalId":491088,"journal":{"name":"International journal of electrical & electronics research","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136011462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancement of Agriculture Feeder Performance by Optimal Sizing and Placing of Solar PV Tree through AEO-Based Optimization Technique 基于aeo优化技术优化太阳能光伏树的尺寸和放置以提高农业馈电性能

International journal of electrical & electronics research Pub Date : 2023-09-23 DOI: 10.37391/ijeer.110322

Kamal Kumar U, Varaprasad Janamala

引用次数: 0