2021 International Conference on Computing Sciences (ICCS)最新文献_第5页

Hybrid Soft Switching Mode PWM Full Bridge DC–DC Converter with Minimized Switching Loss 最小开关损耗的混合软开关PWM全桥DC-DC变换器

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00034

Anu Radha Kota, J. Prasad, J. Chand

{"title":"Hybrid Soft Switching Mode PWM Full Bridge DC–DC Converter with Minimized Switching Loss","authors":"Anu Radha Kota, J. Prasad, J. Chand","doi":"10.1109/ICCS54944.2021.00034","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00034","url":null,"abstract":"A method for developing Hybrid delicate swapping Mode in a systematic manner. In this study, PWM full crossed over DC to DC (IBB) converters are proposed, and single-stage power change, Zero-voltage and Zero current, and high-effectiveness execution are all possible with the proposed group of converters. To achieve optimal framework effectiveness, the delicate swapping method of the important switches might be adjusted under distinct information and yield conditions. Because the delicate turning states of the turn-ON and turn-OFF moments are very much dissociated in the zero-voltage and zero-current exchanging (ZVZCS) mode, the turn-ON and turn-OFF exchanging difficulties can be simplified. The mood killer exchanging misfortune can also be simplified in the zero-voltage exchanging (ZVS) mode because there is no requirement for light burden activity in this mode. By utilising low-voltage rating MOSFETs and diodes with better exchanging and conduction exhibitions, the additional conduction misfortune is kept to a minimum. A complete connection. The proposed converter and control procedure may also do careful exchanging execution of every dynamic switch and diode throughout a large weight and voltage range.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124459717","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

Localizing Mobile Nodes in WSNs using Dragonfly Algorithm 基于蜻蜓算法的无线传感器网络移动节点定位

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00051

G. Walia, Parulpreet Singh, Manwinder Singh

引用次数: 1

Challenges and Proposed Architecture of Municipal Solid Waste in Context of Hilly Terrain Shimla City, India 印度西姆拉市丘陵地形下城市固体废物处理的挑战与建议

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00043

M. Pal, Munish Bhatia

{"title":"Challenges and Proposed Architecture of Municipal Solid Waste in Context of Hilly Terrain Shimla City, India","authors":"M. Pal, Munish Bhatia","doi":"10.1109/ICCS54944.2021.00043","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00043","url":null,"abstract":"Shimla hilly city dubbed as ‘Queen of Hills’ and is the most populated city in the State of Himachal Pradesh, lies in the Indian Himalayan region. It is a prominent hill station and tourist destination in India with an elevation of 2397.59 meters above mean sea level. Although Shimla has ranked first among 62 cities with a population under a million in the 2020 Ease of Living Index. However, Unplanned and short-term developmental plans increase urbanization and have led to tons of solid waste, due this solid waste has become a challengeable issue. The rising generation trend of garbage can create acute health problems and a very unpleasant living environment that could ruin the beauty of Hill Queen. The waste generation/collection per capita is 350g/day in Shimla city. The waste problems in hilly and plain cities differ due to the different topography of hilly terrain, which is described by steep mountains, steep terrain, deep valleys, traffic congestion, and narrow roads. This paper begins with a brief status of municipal solid waste (MSW) in the context of India and Shimla city. The main components of solid waste as well as the challenges of Shimla city are elaborated. Further, a technology-driven state-of-the-art architecture for end-to-end smart waste management has been proposed. This proposed architecture for the Shimla smart city with the deployment of a citywide array of IoT sensors aims to overcome the limitations of the traditional waste management system. Finally, the paper is concluded with some future suggestions.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126553659","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

Semantic Analysis on Social Media 社交媒体的语义分析

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00054

Seerat Choudhary, Jyoti Godara

引用次数: 2

Smart Education: A Systematic Survey and Future Research Directions 智慧教育:系统调查与未来研究方向

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00042

Avneet Kaur, Munish Bhatia

引用次数: 0

A Novel System for Image Text Recognition and Classification using Deep Learning 一种基于深度学习的图像文本识别与分类新系统

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00020

Syed Ishfaq Manzoor, Jimmy Singla

引用次数: 2

Cyber Security: Terms, Laws, Threats and Protection 网络安全:术语、法律、威胁和保护

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00037

M. Jha, Anand C S, Yogesh Mahawar, Uday Kalyan, Vikas Verma

引用次数: 3

Sentiment Analysis of Code-Mixed Social Media Text (SA-CMSMT) in Indian-Languages 印度语混合码社交媒体文本情感分析(SA-CMSMT

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00014

Gazi Imtiyaz Ahmad, Jimmy Singla

{"title":"Sentiment Analysis of Code-Mixed Social Media Text (SA-CMSMT) in Indian-Languages","authors":"Gazi Imtiyaz Ahmad, Jimmy Singla","doi":"10.1109/ICCS54944.2021.00014","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00014","url":null,"abstract":"The arrival of web 2.0 platforms and increasing usage of social networking sites have proliferated social media content on the web. These platforms also provides multilingual interface to allow people to write freely in their native language. Over the past few decades, a new phenomenon called code-mixing has been observed in social media data which has attracted attention of researchers in sociolinguists and Natural Language Processing domains. However, due to informal nature of the text present in code-mixing phenomenon, there are a number of challenges ranging from data extraction to summarization. Sentiment Analysis of code-mixed data is a key research field which has emerged in the recent past. NLP researchers aim to provide natural language processing (NLP) tools that can collect, analyzed, evaluate, and summarize code-mixed data. The researchers had to deal with dataset construction, preprocessing, annotation, language identification, feature extraction, feature selection, and sentiment classification when it came to sentiment analysis of Code-mixed Social Media Text. This paper provides an overview of work carried out in sentiment analysis of code-mixed Indian languages textual data.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125653414","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

Edge-Computing Paradigm: Survey and Analysis on security Threads 边缘计算范式:安全线程的调查与分析

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00057

Neha Sehrawat, Sahil Vashisht, Navdeep Kaur

{"title":"Edge-Computing Paradigm: Survey and Analysis on security Threads","authors":"Neha Sehrawat, Sahil Vashisht, Navdeep Kaur","doi":"10.1109/ICCS54944.2021.00057","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00057","url":null,"abstract":"The commencement of extensive applications of Internet of Things devices in information technology is generating massive amounts of data. The deployment of various Internet of Things devices/sensors within the complex interconnected networks gives rise to raw data from sensors, processed and controlled data, decision-making data providing intelligent solutions, etc. Internet of Things offers a common platform (called IoT cloud) for all the networks and devices connected to those networks. The analytics can be performed on data, and valuable information can be extracted. Massive data traffic generated by Internet of Things sensors and related processing poses an overwhelming load and cost on Internet of Things cloud related to bandwidth, latency and resource scarcity. This, in turn, degrades the quality of service and network performance. To cope with such issues, Edge Computing paradigms came into existence, extending the cloud storage capacity and computational resources close to specific Internet of Things devices. However, EC assisted Internet of Things to reduce the volume of data transition over the cloud but continued with significant risks associated with security and privacy. Moreover, the expansion of service requirements triggers security and efficiency issues.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055822","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

Ensemble Based Prediction of Cardiovascular Disease Using Bigdata analytics 基于大数据分析的心血管疾病集成预测

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI: 10.1109/ICCS54944.2021.00017

D. Krithika, K. Rohini

{"title":"Ensemble Based Prediction of Cardiovascular Disease Using Bigdata analytics","authors":"D. Krithika, K. Rohini","doi":"10.1109/ICCS54944.2021.00017","DOIUrl":"https://doi.org/10.1109/ICCS54944.2021.00017","url":null,"abstract":"Heart attack is leading cause of death. In our body heart is hardest working organ. Risk factors for future cardiovascular is people with high cholesterol, high blood pressure, diabetes, strong family history. Heart attack is primarily caused by lifestyle. CAD is coronary arteries blood vessels supply oxygen and blood to the heart.it is almost cause of death worldwide. Coronary arteries normally happen when deposition of cholesterol accumulate artery walls creating plaques. Arteries being tighten and difficult to blood flow to the heart. It also causes blood clots of rhombus totally occludes blood flow, when a blockage occur it is called coronary occlusion. So, blockages are occlusion (myocardial infarction) of heart attack. contraction of heart muscle suddenly stopped. Blood viscosity is important role to maintain vascular homeostasis. Hematocrit is the packed cell volume (pcv) of blood. Few machine learning algorithms applied to large amount of data and accuracy checked. The proposed model is CVD prediction using Extreme Gradient Boost, DT, KNN, SVM, Naïve bayes, Random forest, ANN, Hyper parameter tunned random forest Algorithm.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833446","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