Day 1 Tue, September 21, 2021最新文献

Pollination Inspired Clustering Model for Wireless Sensor Network Optimization 基于授粉启发的无线传感器网络聚类优化模型

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-29 DOI: 10.36548/jsws.2021.3.006

S. Shakya

{"title":"Pollination Inspired Clustering Model for Wireless Sensor Network Optimization","authors":"S. Shakya","doi":"10.36548/jsws.2021.3.006","DOIUrl":"https://doi.org/10.36548/jsws.2021.3.006","url":null,"abstract":"Remote and dangerous fields that are expensive, complex, and unreachable to reach human insights are examined with ease using the Wireless Sensor Network (WSN) applications. Due to the use of non-renewable sources of energy, challenges with respect to the network lifetime, fault tolerance and energy consumption are faced by the self-managed networks. An efficient fault tolerance technique has been provided in this paper as an effective management strategy. Using the network and communication nodes, revitalization and fault recognition techniques are used for handling diverse levels of faults in this framework. At the network nodes, the fault tolerance capability is increased by the proposed protocol model and management strategy. This enhances the corresponding data transmission in the network. When compared to the conventional techniques, the proposed model increases the network lifetime by five times. It is observed from the validation results that, with a 10% increase in the network lifetime, there is a 2% decrease in the fault tolerance proficiency of the network. The network lifetime and data transmission rate are improved while the network energy consumption is reduced significantly. The MATLAB environment is used for simulation purpose. In terms of energy consumption, network lifetime and fault tolerance, the proposed model offers optimal results.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80728745","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

Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles 基于三相线圈的电动汽车无线充电优化系统

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-25 DOI: 10.36548/jsws.2021.3.005

Edriss E. B. Adam, A. Sathesh

{"title":"Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles","authors":"Edriss E. B. Adam, A. Sathesh","doi":"10.36548/jsws.2021.3.005","DOIUrl":"https://doi.org/10.36548/jsws.2021.3.005","url":null,"abstract":"With modernization and technology enhancements on a global scale, environmental consciousness has also been increasing in recent days. Various technologies and automobile industries are vandalized with sustainable solutions and green technologies. Transportation via roadways is mostly preferred for distant travel as well, despite the advancements in airways and railways, due to less capital outlay, door to door service possibility in rural areas etc. The conventional fuel vehicles are a huge contributor to environmental pollution. Electric vehicles are an optimal solution to this issue. The lives of the common masses are not impacted largely by the electric vehicles despite their market commercialization since a few decades. It is due to certain challenges associated with the electrical vehicles. A 100% efficient perpetual machine does not exist yet. Predominantly, challenges related to charging, hinders the success of e-vehicles. Frequent charging is required in case of long-distance travel and other scenarios in the existing vehicles. Based on the respective governments, extensive changes are made in the infrastructure to overcome the issues at the charging stations. In this paper, an enhanced wireless charging module for electric vehicles is presented. The use of multiple coils is emphasized for building up energy and transmitting it. The inductive power transfer mechanism and efficiency of the system are improved with the design of a three-phase coil. The mechanism for assessment of the energy consumed in e-vehicles is also discussed.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83568771","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

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure 基于射频能量电路和变压器耦合程序的无线电力传输装置

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-22 DOI: 10.36548/jeea.2021.3.006

P. Karuppusamy

引用次数: 0

Hybrid Micro-Energy Harvesting Model using WSN for Self-Sustainable Wireless Mobile Charging Application 基于WSN的混合微能量收集模型在自持续无线移动充电中的应用

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-19 DOI: 10.36548/jsws.2021.3.003

Haoxiang Wang

引用次数: 0

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder 自动多模态融合技术用于阿尔茨海默病的人脑分类

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-16 DOI: 10.36548/jeea.2021.3.005

B. Vivekanandam

{"title":"Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder","authors":"B. Vivekanandam","doi":"10.36548/jeea.2021.3.005","DOIUrl":"https://doi.org/10.36548/jeea.2021.3.005","url":null,"abstract":"Alzheimer's Disorder (AD) may permanently impair memory cells, resulting in dementia. Researchers say that early Alzheimer's disease diagnosis is difficult. MRI is used to detect AD in clinical trials. It requires high discriminative MRI characteristics to accurately classify dementia stages. Due to the large extraction of features, improved deep CNN-based models have recently proven accurate. With fewer picture samples in the datasets, over-fitting issues arise, limiting the effectiveness of deep learning algorithms. This research article minimizes the overfitting error due to fusion techniques. This hybrid approach is used to classify Alzheimer's disease more accurately than other traditional approaches. Besides, the Convolutional Neural Network (CNN) provides more minute features of small changes in MRI scan images than any other algorithm. Therefore, the proposed algorithm provides great accuracy in the region of sagittal, coronal, and axial Mild Cognitive Impairments (MCI) in the brain segment classification. Moreover, this research article compares the proposed algorithm with previous research output that is used to help prove its superiority. The performance metrics uses Health Subject (HS), MCI, and Mini-Mental State Evaluation (MMSE) to evaluate the proposed research algorithm.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77964558","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: 13

Intelligent Automation System for Smart Grid Renewable Energy Generation on Climatic Changes 气候变化下的智能电网可再生能源发电智能自动化系统

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-15 DOI: 10.36548/jeea.2021.3.004

J. Chen, Kong-Long Lai

{"title":"Intelligent Automation System for Smart Grid Renewable Energy Generation on Climatic Changes","authors":"J. Chen, Kong-Long Lai","doi":"10.36548/jeea.2021.3.004","DOIUrl":"https://doi.org/10.36548/jeea.2021.3.004","url":null,"abstract":"Nature oriented power generation systems are considered as renewable energy sources. Renewable energy generations are safe to the environment and nature, in terms of minimal radiation and pollution. The space requirement, operational and maintenance cost of renewable energy generation stations are also comparatively lesser than the conventional generating stations. The new form of micro grid energy stations of 230Volt supply attract the small commercial users and the domestic users. The smart grid energy generation is widely employed in the place where the conventional energy supply is not available. Due to its simple construction process, the smart grid renewable energy stations are employed on certain national highways as charging stations for electric vehicles and as a maintenance centre. The motive of the proposed work is to alert the smart grid system with an intelligent algorithm for making an efficient energy generation process on various climatic changes. This reduces the energy wastage in the primary smart grid station and makes the system more reliable on all conditions. The performance of the proposed approach is compared with a traditional smart grid system which yielded a satisfactory outcome.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"146 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73913569","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

Construction of Hybrid Model for English News Headline Sarcasm Detection by Word Embedding Technique 基于词嵌入技术的英文新闻标题讽刺检测混合模型构建

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-10 DOI: 10.36548/jeea.2021.3.003

S. Ayyasamy

引用次数: 0

A Two Stage Task Scheduler for Effective Load Optimization in Cloud – FoG Architectures 一种用于云雾架构中有效负载优化的两阶段任务调度程序

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-09 DOI: 10.36548/jei.2021.3.006

J. Manoharan

{"title":"A Two Stage Task Scheduler for Effective Load Optimization in Cloud – FoG Architectures","authors":"J. Manoharan","doi":"10.36548/jei.2021.3.006","DOIUrl":"https://doi.org/10.36548/jei.2021.3.006","url":null,"abstract":"In recent times, computing technologies have moved over to a new dimension with the advent of cloud platforms which provide seamless rendering of required services to consumers either in static or dynamic state. In addition, the nature of data being handled in today’s scenario has also become sophisticated as mostly real time data acquisition systems equipped with High-Definition capture (HD) have become common. Lately, cloud systems have also become prone to computing overheads owing to huge volume of data being imparted on them especially in real time applications. To assist and simplify the computational complexity of cloud systems, FoG platforms are being integrated into cloud interfaces to streamline and provide computing at the edge nodes rather at the cloud core processors, thus accounting for reduction of load overhead on cloud core processors. This research paper proposes a Two Stage Load Optimizer (TSLO) implemented as a double stage optimizer with one being deployed at FoG level and the other at the Cloud level. The computational complexity analysis is extensively done and compared with existing benchmark methods and superior performance of the suggested method is observed and reported.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76723931","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

Design of Digital Image Watermarking Technique with Two Stage Vector Extraction in Transform Domain 变换域两阶段矢量提取数字图像水印技术设计

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-08 DOI: 10.36548/jitdw.2021.3.006

R. Kanthavel

{"title":"Design of Digital Image Watermarking Technique with Two Stage Vector Extraction in Transform Domain","authors":"R. Kanthavel","doi":"10.36548/jitdw.2021.3.006","DOIUrl":"https://doi.org/10.36548/jitdw.2021.3.006","url":null,"abstract":"Multimedia data in various forms is now readily available because of the widespread usage of Internet technology. Unauthorized individuals abuse multimedia material, for which they should not have access to, by disseminating it over several web pages, to defraud the original copyright owners. Numerous patient records have been compromised during the surge in COVID-19 incidents. Adding a watermark to any medical or defense documents is recommended since it protects the integrity of the information. This proposed work is recognized as a new unique method since an innovative technique is being implemented. The resilience of the watermarked picture is quite crucial in the context of steganography. As a result, the emphasis of this research study is on the resilience of watermarked picture methods. Moreover, the two-stage authentication for watermarking is built with key generation in the section on robust improvement. The Fast Fourier transform (FFT) is used in the entire execution process of the suggested framework in order to make computing more straightforward. With the Singular Value Decomposition (SVD) accumulation of processes, the overall suggested architecture becomes more resilient and efficient. A numerous quality metrics are utilized to find out how well the created technique is performing in terms of evaluation. In addition, several signal processing attacks are used to assess the effectiveness of the watermarking strategy.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78316495","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 efficient Capacitor Bank Operating System for Single Phase Power Factor Correction using Neural Network Estimations 基于神经网络估计的单相功率因数校正电容组操作系统

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-08 DOI: 10.36548/jeea.2021.3.002

S. Shakya

{"title":"An efficient Capacitor Bank Operating System for Single Phase Power Factor Correction using Neural Network Estimations","authors":"S. Shakya","doi":"10.36548/jeea.2021.3.002","DOIUrl":"https://doi.org/10.36548/jeea.2021.3.002","url":null,"abstract":"Wastage of electricity occurs in all places starting from a small house electrical loading to a heavy industrial electrical loading. KiloVolt-Ampere Reactive (KVAR) power metering devices are employed in industrial applications for measuring the energy utilization which measure the energy wastage along with it. This urges a consumer to pay for the unutilized or wasted energy as well. To avoid this, certain capacitor bank units are connected to the industrial application motor units. The right choice of capacitor rating are helpful in minimizing the wasted power observation in the KVAR meters. The selection of capacitor rating is analysed with respect to the power factor calculation. The power factor is a derivation of working power to the apparent power in an electrical system. An optimum power factor to be maintained in an electrical system is 1. The motive of the proposed work is to maintain the power factor by selecting an optimum capacitor bank on the operation of an electrical system at various load conditions. The requirement of capacitor bank values get changed with respect to the load given to an electrical system. A neural network based prediction model is employed in the work for estimating the right choice of capacitor bank. The efficiency of the proposed work is verified and found satisfied with a traditional capacitor bank operating system.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76896242","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