2021 International Conference on Computing, Communication and Green Engineering (CCGE)最新文献_第6页

Algorithm for Priority Based Power Schedulingfor Residential Loads 基于优先级的住宅用电调度算法

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776380

Nivedita Patil, U. G. Patil

{"title":"Algorithm for Priority Based Power Schedulingfor Residential Loads","authors":"Nivedita Patil, U. G. Patil","doi":"10.1109/CCGE50943.2021.9776380","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776380","url":null,"abstract":"Residential usage of power and its management have become one of the most pressing global challenges in recent years as domestic electricity demand continues to rise. To accomplish the efficient use of power in smart residences, in which technology is used for making every domestic electronic appliance act “smart” or automated, concerns about exchange of information among devices and power management techniques within the houses are required to be addressed. Given that the user has a limited amount of electricity, this paper discusses a system that allows the user to prioritize home appliances based on their daily usage. The mobile application assists the user in determining the appliance's priority and number of working hours as well as check the real-time status of the appliances. Wi-Fi is used to communicate between the system and the mobile application. The mobile application also keeps track of the usage of electricity and informs the user accordingly. The algorithm schedules home appliances based on the priority selected by the user, allowing for more careful use of available electricity. It also aids in distributing the power among the residential loads in both scenarios i.e., in case of sufficient electricity and in case of limited electricity allowing the highest priority appliance to keep working by restricting the power usage of lower priority devices.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127961161","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 Review on Issues and challenges for Protection against DDoS Attacks using Software-Defined Networks approach 软件定义网络防范DDoS攻击的问题与挑战综述

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776321

Amit Kumar Chaturvedi, Kalpana Sharma, Divyat Mahajan

{"title":"A Review on Issues and challenges for Protection against DDoS Attacks using Software-Defined Networks approach","authors":"Amit Kumar Chaturvedi, Kalpana Sharma, Divyat Mahajan","doi":"10.1109/CCGE50943.2021.9776321","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776321","url":null,"abstract":"DDoS attacks are noticed from last many years but due to growing figure of such attacks in present time increases the awareness of them. Many researchers proposed useful detection and mitigation methods for such DDoS attacks. DDoS attack is somewhat simple to perform, hard to safeguard against, and the aggressor is once in a while followed back. The assailant dispatches a DDoS assault utilizing a botnet to produce immense measure of traffic against a casualty's web worker. The casualty might be a business association, government, or basic framework. The wellspring of the attack can be any gadget associated with the web. During the last one and half year of covid-19 pandemic, the exponential growth of about 542% for such attacks is noticed. As all the organizations started working online, the security solutions that provide a safe and secure online working environment are required more. Software-Defined Networks solution is the better option for such requirements. It is a stage towards the foundation of a dynamic and unified nature of the organization. In this paper, we have reviewed that challenges and solutions for SDN networks. The study reveals important detection and mit-igation methods and strategies against DDoS attacks.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130777930","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

Weather Prediction using Support Vector based Genetic Algorithm in Rice Farming 基于支持向量遗传算法的水稻种植天气预报

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776357

Sai krishna Gudepu, Vijay Kumar Burugari

{"title":"Weather Prediction using Support Vector based Genetic Algorithm in Rice Farming","authors":"Sai krishna Gudepu, Vijay Kumar Burugari","doi":"10.1109/CCGE50943.2021.9776357","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776357","url":null,"abstract":"In recent times, farming is a very important field in our Nation to improve the economy. In Agriculture, farmers have to do new learning to improve the economics of the country. In the old days, farmers automatically examine the weather conditions and start cropping, but at present due to illiteracy so many farmers are getting losses. In-order to overcome the problem, IoT and Machine learning are utilized to analyze climatic conditions like temperature, soil moisture levels, and pH levels, etc. with the help of sensors. But it possesses a problem with sensors there is an absence of communication between adjacent sensors, so to remove this “Kalman-Filter” algorithm is used. Whenever the climate change, the information is updated to the farmers using Google Assistant with the help of vigilant messages and voice calls in the regional language. These sensor values are stored in the “Adafruit” cloud storage. It has a problem with detecting weeds in rice farming; to overcome this support vector machine algorithm is used to separate weeds and plants. Genetic Algorithm is used for Analyzing weather situations to have an effect for farmers to raise the yield with high profits.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806604","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

Stock Market Analysis using Time Series Data Analytics Techniques 股票市场分析使用时间序列数据分析技术

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776372

K. Vengatesan, Abhishek Kumar, Ankit Kumar, K. Kharade, S. Kharade, R. K. Kamat

引用次数: 0

A Nonconvex Constrained based Optimal Load Scheduling of Generators with Multiple Fuels using meta-heuristic Algorithms 基于元启发式算法的非凸约束多燃料发电机最优负荷调度

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776402

D. Rao, Chiranjeevi Tulluri, Bharath Kumar Narukullapati, Haqqani Arshad, Raju Mv

{"title":"A Nonconvex Constrained based Optimal Load Scheduling of Generators with Multiple Fuels using meta-heuristic Algorithms","authors":"D. Rao, Chiranjeevi Tulluri, Bharath Kumar Narukullapati, Haqqani Arshad, Raju Mv","doi":"10.1109/CCGE50943.2021.9776402","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776402","url":null,"abstract":"The primary goal of any electric power generation system is to provide a sufficient amount of electricity to consumers without jeopardizing the system's economic viability. The modernization of the power grid has resulted in a significant rise in power demand, which has increased the cost of producing electrical energy. When the cost of output rises, so does the cost of transferring energy to the end consumer. As a result, the output of energy at various stages of a power system must be optimized. As a result, the cost per unit of thermal energy output is reduced while load demand requirements and transmission losses are maintained. These complex non-linear quadratic functions with Multiple Fuels lead to a non-Convex problem for steam thermal generating systems, according to previous studies. Perfect Economic Load Dispatch (ELD) modelling for steam thermal generating units is possible with multiple fuels. Because acute variations and disruptions in the incremental cost function are possible, it is difficult to simplify the non-convex problem using existing techniques. Oppositional Teaching Learning Based Optimization (OTLBO) is used to address the ELD problem in this research. Under various load demands, the proposed solution was applied to a 6-unit test system, a 10-unit test system, and a 14-unit test system, and the results were evaluated using the Teaching Learning Based Optimization (TLBO) algorithm.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126458193","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

Mobile Wireless Sensor Networks And Hierarchical Routing Protocols: A Review 移动无线传感器网络和分层路由协议:综述

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776401

Abha Sharma, Prasenjit Das, R. B. Patel

引用次数: 0

Dysarthric Speech Recognition using Multi-Taper Mel Frequency Cepstrum Coefficients 基于多锥度倒谱系数的困难语音识别

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776318

Pratiksha Sahane, S. Pangaonkar, Shridhar Khandekar

引用次数: 1

A Review on Sustainability of Blockchain in Electronic Health Records 电子健康档案区块链可持续性研究综述

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776391

Meenakshi Sharma, R. Kaushal, Amit Sharma

引用次数: 0

[Agendas] (计划)

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/ccge50943.2021.9776478

Monitoramento Participativo, aGENDAS tRANSVERSAIS, aGENDAS tRANSVERSAIS, Monitoramento Participativo, Plano Mais Brasil, Relatório DE Monitoramento, Miriam Belchior, Secretária Executiva, Eva Maria Cella, Augusto da Silva Lima

引用次数: 0

Principal Component Analysis based Feature Selection Driving Store Choice: A Data Mining Approach 基于主成分分析的特征选择驱动店铺选择:一种数据挖掘方法

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776377

R. Mittal, A. Mittal, Jaiteg Singh, Vikas Rattan, Varun Malik

引用次数: 2