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

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

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

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

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

Optimization of Cogeneration in Sugar industry by Mixed integer linear programming Method 用混合整数线性规划方法优化制糖工业热电联产

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776424

Manjusha A. Kanawade, Mrunmai M. Ranade

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

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

[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

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

Hateful Meme Prediction Model Using Multimodal Deep Learning 基于多模态深度学习的仇恨模因预测模型

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI: 10.1109/CCGE50943.2021.9776440

Md. Rekib Ahmed, Neeraj Bhadani, I. Chakraborty

{"title":"Hateful Meme Prediction Model Using Multimodal Deep Learning","authors":"Md. Rekib Ahmed, Neeraj Bhadani, I. Chakraborty","doi":"10.1109/CCGE50943.2021.9776440","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776440","url":null,"abstract":"With the emergence of deep neural networks along with high-end computers that can process deep architectures, there has been a lot of research when Computer Vision and Natural Language Processing has been fused into a single problem. To enable students and researchers to deep dive into multimodal deep learning Facebook AI Research team published a dataset on hateful meme classification “The Hateful Meme Challenge Dataset” in May 2020 that gave us the motivation to test ourselves and an opportunity to learn more about the dataset. The rise of communication on the internet with memes as a medium, they have been used to convey incorrect information, political agendas and also has led to cyberbullying, trolling etc. This results in the need of creating an automated tool that can detect such hateful content published on the internet and remove it at the root level before it does any harm. This paper intends to adopt Unimodal Text and Image models using Bert, LSTM and VGG16, Resnet50, SE-Resnet50, XSE-Resnet architectures and combining them into Multimodal models for effective prediction of a hateful meme. The paper compares various architectures both unimodal models and multimodal models on the evaluation metrics AUC-ROC score, F1 score and accuracy score.)","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"33 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":"121943102","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