2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献_第8页

An IOT-based Battery Surveillance System For E-Vehicles 基于物联网的电动汽车电池监控系统

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640928

M. Surendar, P. Pradeepa

{"title":"An IOT-based Battery Surveillance System For E-Vehicles","authors":"M. Surendar, P. Pradeepa","doi":"10.1109/I-SMAC52330.2021.9640928","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640928","url":null,"abstract":"Battery surveillance is critical for the majority of battery-powered vehicles, for the benefit of the lead-acid battery's safety , functioning, and even to extend its life. Due to the development of EVs and HEVs, battery technology has made tremendous progress in recent years. However, the estimate of the state of charge (SOC) remains a battery engineering challenge. The remaining load ratio to the maximum load battery capacity is defined as the SOC. In terms of battery safety and maintenance, the SOC estimate is of prime importance. Artificial intelligence, notably machine learning-based systems, has recently been used to estimate battery state, both as part of adaptive systems and as stand-alone systems. The use of data-driven algorithms to estimate battery conditions with high precision is a potential approach. The purpose of this study is to offer a novel and highly accurate approach for predicting the state of charge (SOC) of a Li-ion battery cell that requires little conceptualization and modeling work. The battery aging process can be slowed down by properly treating the battery, including restricting frequent charge and deep drain cycles. This study presents an analysis based on IoT with an ultimate wireless battery surveillance system (WBSS) to determine the relationship between journey distance and discharge cycle. The proposed system's methodology has been tested and found to be effective.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128593086","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: 3

Tomato And Potato Leaf Disease Prediction With Health Benefits Using Deep Learning Techniques 利用深度学习技术预测番茄和马铃薯叶病对健康有益

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640765

K. Karthik, S. Rajaprakash, S. Nazeeb Ahmed, Rishan Perincheeri, C. R. Alexander

{"title":"Tomato And Potato Leaf Disease Prediction With Health Benefits Using Deep Learning Techniques","authors":"K. Karthik, S. Rajaprakash, S. Nazeeb Ahmed, Rishan Perincheeri, C. R. Alexander","doi":"10.1109/I-SMAC52330.2021.9640765","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640765","url":null,"abstract":"The main challenge to the farmers is that the weather, environmental factors cannot be predicted and controlled. Plant diseases also plays an important role in plant cultivation. Plant diseases are considered to be a major challenge to the farmers. As plant and leaf diseases is difficult to be identified with the naked eyes. To overcome this issue in the existing approach, the farmers periodically spray pesticides which might spoil the plants, crop failure. Thus, effective monitoring and identification of plant leaf disease detection at the early stage is essential to predict the leaf diseases and recommend preventive measures. The proposed system utilizes image processing with deep learning techniques to detect plant leaf diseases from potato and tomato datasets. Also, our proposed system could able to recommend the plant benefits helping the current generation of people with a common knowledge base along with plant leaf diseases prediction. For experimental results, this research uses jupyter tool with python script for performing plant leaf disease analysis.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130044281","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

Application of Fractal Geometry in Textile Digital Printing Pattern Design 分形几何在纺织品数码印花图案设计中的应用

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640699

Jianzhang Zhao, Jing Shen

引用次数: 0

Internet-of-Things Enabled Forest Fire Detection System 物联网森林火灾探测系统

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640900

Kaushal Mehta, Sachin Sharma, Dipankar Mishra

{"title":"Internet-of-Things Enabled Forest Fire Detection System","authors":"Kaushal Mehta, Sachin Sharma, Dipankar Mishra","doi":"10.1109/I-SMAC52330.2021.9640900","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640900","url":null,"abstract":"Fire, as one of the world's biggest calamities, must be identified at the right moment before it can do significant damage to the atmosphere and living beings. According to a study, 75-80 percent of the various casualties caused by fire might have been prevented if the misfortune was understood quickly. Particularly in the case of a forest fire, this results in a significant loss to the environment and makes it extremely dangerous for animals to remain there. To avoid such losses, an automated system is needed that can provide early detection of any fire situation via any of the alarm systems. This paper examines the IoT's momentum, advances, and applications in the fire-fighting industry. In addition, the paper summarises a survey conducted for identifying research trends and difficulties in fire projects. The fire Internet of Things (IoT) aims to link different objects with organisations in the fire domain. This paper describes the creation of a fire detector using Arduino, which is equipped with smoke and temperature sensors and emits a buzzer alarm in response to the findings.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127892176","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: 5

Face Emotion Detection Using Deep Learning 基于深度学习的面部情绪检测

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9641053

Paras Jain, M. Murali, Amaan Ali

引用次数: 0

RB01 Technique Used To Applying The Generalized Data 广义数据应用中的RB01技术

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9641004

K. Karthik, S. Rajaprakash, Mohammad Adil Aboobacker, T. A. Backer, Sajan K Davis

引用次数: 0

Completion of Chemical Reaction in Remote Locations Using Data Analytics Built on Internet of Things Platform 利用基于物联网平台的数据分析完成远程化学反应

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640994

A. Christy, M. A. Anto Praveena, S. Vaithyasubramanian, M. Roobini

{"title":"Completion of Chemical Reaction in Remote Locations Using Data Analytics Built on Internet of Things Platform","authors":"A. Christy, M. A. Anto Praveena, S. Vaithyasubramanian, M. Roobini","doi":"10.1109/I-SMAC52330.2021.9640994","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640994","url":null,"abstract":"In today’s world Chemical industries and biochemical plants deal with hazardous chemical reactions. The progression of the reaction / completion of the reaction are done by observation of different parameters as well as aliquoting different samples for analysis. This normal procedure is tedious, time consuming and cumbersome. A novel method has been developed to accurately estimate the end point of chemical reaction in remote locations using Internet of Things (IoT) platform. The procedure involves monitoring different parameters like changes in pressure, volume and analyzing the data to find accurately the end point of locations using IOT and Machine learning techniques. A simple reaction involving oxidation of oxalic acid with incremental addition of potassium permanganate in nitric acid medium was carried out in lab scale under vacuum and the drop in vacuum was observed with time and volume. The end point of the reaction was accurately estimated by observing the pressure values using a pressure sensor and passing it to the cloud through the Wi-Fi module. Data is analyzed using machine learning techniques and once the curve flattens means the end point is reached. The data sends an alert to the IoT device that the reaction is completed as well as the circuit is automatically stopped in further functioning.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127068485","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

KRB01 Method for Securing the Data KRB01数据保护方法

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640948

K. Karthik, S. Rajaprakash, Vaddepraveenkumar, Avula Gopinath, K. Chandu

引用次数: 0

Online Video Conferencing with Report Generation 在线视频会议与报告生成

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640903

B. Vaishnavi, Borra Harsha, N. N. Chandana, Vemula Bhargavi, Suneetha Manne

{"title":"Online Video Conferencing with Report Generation","authors":"B. Vaishnavi, Borra Harsha, N. N. Chandana, Vemula Bhargavi, Suneetha Manne","doi":"10.1109/I-SMAC52330.2021.9640903","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640903","url":null,"abstract":"Currently, many organizations started using conferencing apps to connect students and teachers, also to conduct online classes. In the current pandemic, applications like google meet, zoom became a necessity for educational institutions to conduct online lectures. An educational institute may need a customized video conferencing system for hassle free online classes, summary of classes and discussion forums. This research work develops a web application with mixed features of video conferencing and report generation. Students who miss their classes can see the reports/summary related to the classes conducted on a particular day and can learn easily. Teachers can login through, create links for their respective classes and share it with their students. Every user utilize their respective login id. Discussion forums are also provided for students to discuss among their peers. Students obtaining quality education is needed which shapes their future. The summary of the classes will help them to learn more along with the lectures. Inter department students can communicate in the discussion forums and support each other.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232693","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

Optimized Conversion of Categorical and Numerical Features in Machine Learning Models 机器学习模型中分类和数值特征的优化转换

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640967

K. P. N. V. Satya Sree, J. Karthik, Chava Niharika, P. Srinivas, N. Ravinder, Chitturi Prasad

引用次数: 2