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International Journal of Social Ecology and Sustainable Development最新文献

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A Hybrid Approach for Simplification using Logarithmic Clustering and Moments Matching 基于对数聚类和矩匹配的混合简化方法
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-03-01 DOI: 10.4018/ijsesd.302467
{"title":"A Hybrid Approach for Simplification using Logarithmic Clustering and Moments Matching","authors":"","doi":"10.4018/ijsesd.302467","DOIUrl":"https://doi.org/10.4018/ijsesd.302467","url":null,"abstract":"A simplification method is suggested in this paper to simplify a large-scale dynamic system using logarithmic pole clustering and moments matching using Pade approximations. The denominator polynomial of the simplified model is computed by using logarithmic pole clustering while the numerator coefficients of the same model are determined by matching the time-moments of the original large-scale system. The viability of the proposed method has been tested on few large-scale systems taken from the literature.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45089802","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: 1
An Improved And Efficient And Dynamic Load Balancing Approach In Cloud Computing Environment 云计算环境下一种改进的高效动态负载均衡方法
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-03-01 DOI: 10.4018/ijsesd.302469
{"title":"An Improved And Efficient And Dynamic Load Balancing Approach In Cloud Computing Environment","authors":"","doi":"10.4018/ijsesd.302469","DOIUrl":"https://doi.org/10.4018/ijsesd.302469","url":null,"abstract":"Cloud Computing Environment (CCE) is a newly rudimentary knowledge in the IT industry. Central to these problems lies in the establishment of an active LB algorithm. The network load can be CPU load, memory limit, postponement, or system load. In the proposed algorithm, Load Balancing (LB) done by considering priority policy. An Efficient and Dynamic Load Balancing Approach in Cloud Computing (EDBA-CC) proposed, and the related algorithm executed on CloudSim (CS). A resource allocation approach that takes into account Resource Utilization (RU) would lead to better energy efficiency. The outcomes indicate the effectiveness of the proposed algorithm. The outcomes exhibited that the EDBA-CC algorithm reduced Response Time (RT). The decreasing in RT is about 2.23 ms when the instruction length was 275 Byte, and the decreasing became more obviously with 10.12 ms for RT and 5.54 ms for RT when the instruction length was 2000 Byte.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45155668","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 Evolutionary Optimization Technique for Time Domain Modelling 时域建模的进化优化技术
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-03-01 DOI: 10.4018/ijsesd.302470
{"title":"An Evolutionary Optimization Technique for Time Domain Modelling","authors":"","doi":"10.4018/ijsesd.302470","DOIUrl":"https://doi.org/10.4018/ijsesd.302470","url":null,"abstract":"The authors proposed an evolutionary-optimization technique known as the Genetic Algorithm (GA) for the optimization and order reduction of high order systems (HOSs) in the time domain. As we know a lot of optimization techniques are available in the frequency domain but limited in the time domain. The proposed technique is applicable for time-domain systems. The reduced model (RM) obtained by the proposed technique can be replaced with the original HOS as it retains all the important time and frequency response specifications of the original HOS. The efficacy of the proposed method has been tested on few numerical examples from the literature. The important time and frequency response specifications of the proposed RM are compared with RM obtained by recent techniques using MATLAB/Simulink. The proposed algorithm is applicable for Single-input single-output (SISO) and multi-input multi-output (MIMO) linear, nonlinear, time-invariant, and time-variant systems.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47110835","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
Hybrid Power Modulation Scheme for High Frequency Isolated Bidirectional Dual-Active-Bridge DC-DC Converter 高频隔离双向双有源桥式DC-DC变换器的混合功率调制方案
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-03-01 DOI: 10.4018/ijsesd.302464
{"title":"Hybrid Power Modulation Scheme for High Frequency Isolated Bidirectional Dual-Active-Bridge DC-DC Converter","authors":"","doi":"10.4018/ijsesd.302464","DOIUrl":"https://doi.org/10.4018/ijsesd.302464","url":null,"abstract":"High frequency isolated bidirectional dual-active-bridge (HFIB-DAB) DC-DC converter is a bidirectional DC-DC converter. A hybrid power modulation scheme is introduced, resulting in improved efficiency over complete power range. This proposed hybrid modulation scheme combines two different types of power modulation techniques. Up to certain level of power modulation, the DPS power modulation technique is more efficient and after that the efficient performance of RF power modulation technique supersedes over the other. A switch over provision is proposed to choose the most efficient one for a given power transfer requirement in the HFIB-DAB DC-DC converter by using the proposed reconfigurable resonant tank network. The results are verified by using 4 kW HFIB-DAB DC-DC converter operating at 50 kHz. It is designed to interface two 400V DC bus voltages on either side of the HFIB-DAB DC-DC converter. The validation is done by using MATLAB/Simulink package and a maximum power transfer efficiency of 99.94% is achieved.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47429813","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
Development of PLC and SCADA Based Automation System for Control of Irrigation Dam Gates 基于PLC和SCADA的灌坝闸门自动化控制系统的开发
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-03-01 DOI: 10.4018/ijsesd.302471
{"title":"Development of PLC and SCADA Based Automation System for Control of Irrigation Dam Gates","authors":"","doi":"10.4018/ijsesd.302471","DOIUrl":"https://doi.org/10.4018/ijsesd.302471","url":null,"abstract":"The control and monitoring system presented is based on Supervisory Control and Data Acquisition concept. It provides GUI service for operators and data visualization capability to display data trends using an appropriate DBMS (database management system). The SCADA system also incorporates Alarm and PAS (public address system) for operational and functional safety. The remote control of the gates is carried out through PC based SCADA software from a centrally located control room. The SCADA system consists of a Master Terminal Unit (MTU) located in the control room, MicroLogix 1400 PLC-based Remote Terminal Units (RTUs) located in the control panels of dam gates, and ultrasonic sensors equipped with MODBUS/ RTU interface to measure upstream and downstream water levels. RTUs-MTU communication is realized using a dedicated LAN. This paper presents the system design along with hardware layout and software programs for both, RTUs and MTU. The program for PLC has been written in ladder logic using RSLogix 500, a powerful development software from Rockwell Automation.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48047545","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: 2
Lowest Tariff Load Shifting Demand Side Management Technique in Smart Grid Environment 智能电网环境下的最低电价负荷转移需求侧管理技术
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-03-01 DOI: 10.4018/ijsesd.302468
{"title":"Lowest Tariff Load Shifting Demand Side Management Technique in Smart Grid Environment","authors":"","doi":"10.4018/ijsesd.302468","DOIUrl":"https://doi.org/10.4018/ijsesd.302468","url":null,"abstract":"Electrical energy is playing an important role in our day-to-day life. The burden on utility is increasing continuously due to huge utilization of electrical energy thereby utilities are suffering from peak shortage. The concept of demand side management can be applied to relieve the utilities from suffering peak load burden. In this paper, a Lowest Tariff Load Shifting (LTLS) approach of DSM is suggested to flatten the load curve as desired by the utilities. Residential and commercial loads are considered for validation of proposed algorithm. The use of DSM techniques can delay the expansion of power system for short duration such as few months or years. This paper produces a flatten load curve by applying LTLS technique of DSM and results demonstrates cost saving and peak load reduction in residential as well as commercial area.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45795360","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: 1
ANN based Reference Voltage Generation Scheme for Control of Dynamic Voltage Restorer 基于神经网络的动态电压恢复器控制参考电压生成方案
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-03-01 DOI: 10.4018/ijsesd.302462
{"title":"ANN based Reference Voltage Generation Scheme for Control of Dynamic Voltage Restorer","authors":"","doi":"10.4018/ijsesd.302462","DOIUrl":"https://doi.org/10.4018/ijsesd.302462","url":null,"abstract":"Dynamic voltage restorer (DVR) is usually employed to mitigate sag/swell in supply voltages so that load voltage is regulated at nominal value. This paper proposes artificial neural network (ANN) based reference voltage generation (RVG) scheme for the control of 3-phase DVR. ANN replaces the traditional control of DVR, which involves abc-dq0 and dq0-abc transformations, estimation of d-q axes voltage errors and proportional-integral (PI) controllers along with their tuning. In proposed control scheme, the feedforward ANN utilizes present and previous samples of supply voltage and peak magnitude of load voltage for RVG, which when impressed across the injection transformer results in sag/swell mitigation. It is important to note that the proposed scheme is free from transformations and controller tuning. The performance of 3-phase DVR with the proposed ANN based RVG scheme results in standard IEEE-519 compliant operation with load voltage regulated at nominal value even under sag/swell in supply voltage. This is verified through MATLAB/SIMULINK based simulaiton studies.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44692909","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
Comparative Analysis of Artificial Neural Networks and Deep Neural Networks for Detection of Dementia 人工神经网络与深度神经网络在痴呆检测中的比较分析
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-01-04 DOI: 10.4018/ijsesd.313966
Deepika Bansal, K. Khanna, R. Chhikara, R. Dua, Rajeev Malhotra
{"title":"Comparative Analysis of Artificial Neural Networks and Deep Neural Networks for Detection of Dementia","authors":"Deepika Bansal, K. Khanna, R. Chhikara, R. Dua, Rajeev Malhotra","doi":"10.4018/ijsesd.313966","DOIUrl":"https://doi.org/10.4018/ijsesd.313966","url":null,"abstract":"Dementia is a neurocognitive brain disease that emerged as a worldwide health challenge. Machine learning and deep learning have been effectively applied for the detection of dementia using magnetic resonance imaging. In this work, the performance of both machine learning and deep learning frameworks along with artificial neural networks are assessed for detecting dementia and normal subjects using MRI images. The first-order and second-order hand-crafted features are used as input for machine learning and artificial neural networks. And automatic feature extraction is used in the last framework with the pre-trained networks. The outcomes show that the framework using the deep neural networks performs better contrasted with the first two methodologies used in terms of various performance measures.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47692236","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
Comparison of Garbage Classification Frameworks Using Transfer Learning and CNN 基于迁移学习和CNN的垃圾分类框架比较
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-01-04 DOI: 10.4018/ijsesd.313973
Mahendra Kumar Gourisaria, Rakshit Agrawal, Vinay Singh, M. Sahni, Linesh Raja
{"title":"Comparison of Garbage Classification Frameworks Using Transfer Learning and CNN","authors":"Mahendra Kumar Gourisaria, Rakshit Agrawal, Vinay Singh, M. Sahni, Linesh Raja","doi":"10.4018/ijsesd.313973","DOIUrl":"https://doi.org/10.4018/ijsesd.313973","url":null,"abstract":"With the never-ending increase in the population, garbage and other waste materials have become one of the major hurdles in forming a healthy environment. The proliferation in the development of such schemes and integration of technology brings up the concept of smart waste management based on its biodegradability. These proposed models can be found useful to the smart waste development program and other likely schemes which require the classification of garbage based on their images. The experiment uncovers the reasons behind the working of VGG19 and A9 architecture CNN-based models which were found to provide the best results in accurately detecting the type of garbage. Experimental evaluation was based on 27 models including out of which A9 and VGG19 models were found to be the most efficient ones with 92.24% and 86.35% accuracy, respectively, which are further compared in detail for understanding these models better.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47502502","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
Diagnosing Brain Tumors Using a Super Resolution Generative Adversarial Network Model 使用超分辨率生成对抗网络模型诊断脑肿瘤
International Journal of Social Ecology and Sustainable Development Pub Date : 2022-01-04 DOI: 10.4018/ijsesd.314158
Ashraya Gupta, Shubham Shukla, Sandeep Chaurasia
{"title":"Diagnosing Brain Tumors Using a Super Resolution Generative Adversarial Network Model","authors":"Ashraya Gupta, Shubham Shukla, Sandeep Chaurasia","doi":"10.4018/ijsesd.314158","DOIUrl":"https://doi.org/10.4018/ijsesd.314158","url":null,"abstract":"Аutоmаted deteсtiоn оf tumоrs in MRIs is inсredibly vital as it рrоvides details аbоut аnomalous tissues that are imроrtаnt fоr рlаnning further pathways of treаtment. It is an imрrасtiсаl method requiring massive аmоunt оf knоwledge. Henсe, trustworthy аnd аutоmаtiс сlаssifiсаtiоn sсhemes and рrоgrаmmes аre сruсiаl to put an end to the deаth rаte оf humаns. Sо, deteсtiоn methods аre developed that wоuld not only save the time of the radiologist but also help in асquiring а tested ассurасy. Manual detection of MRI tumor соuld be а соmрliсаted tаsk due tо the соmрlexity аnd vаriаnсe оf tumоrs. In this paper, the authors рrороse both mасhine leаrning and deep learning-based generative adversarial network (GAN) аlgоrithms tо overcome the challenges оf conventional сlаssifiers where tumоrs were deteсted in brаin MRIs using mасhine leаrning аlgоrithms only. Making use of SR-GAN increases the accuracy of the proposed method to more than 98%.","PeriodicalId":38556,"journal":{"name":"International Journal of Social Ecology and Sustainable Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48905492","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
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