2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)最新文献

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Implementation of Social Distancing Device 实施社交距离装置
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051446
P. N, Ravindra Angadi
{"title":"Implementation of Social Distancing Device","authors":"P. N, Ravindra Angadi","doi":"10.1109/C2I456876.2022.10051446","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051446","url":null,"abstract":"As the continued COVID-19 outbreak has brought about an international catastrophe with spreading. Due to the absence of powerful remedial sellers and the lack of immunizations in opposition to the virus, populace vulnerability increases. Therefore, social distancing is a concept to be a good enough precaution in opposition to the pandemic virus. As discussed, this paper present and discuss the ideology of how to provide automated social distancing by measuring the distance between the user and the opposite person and monitoring the temperature of the user, alarming them when social distancing is violated and also if the temperature is raised more than a normal body temperature by using a microcontroller named Arduino with ultrasonic sensor and PIR sensor as a detecting medium. To achieve this objective, we have developed a small wrist device that can help users to be safe in public places, crowded areas, etc., and also easier to wear and use as it is like a smartwatch. Detailed processes and work are shown in this paper.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121375067","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 IoT based Natural Disaster Monitoring for Railway Accident Warning Alert System 基于物联网的铁路事故预警系统自然灾害监测
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051317
S. Balamurugan, G. Sasi, A. Mohanapriya, D. FaridhaBanu, S. Ramalingam, B. SakthiKumar
{"title":"An IoT based Natural Disaster Monitoring for Railway Accident Warning Alert System","authors":"S. Balamurugan, G. Sasi, A. Mohanapriya, D. FaridhaBanu, S. Ramalingam, B. SakthiKumar","doi":"10.1109/C2I456876.2022.10051317","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051317","url":null,"abstract":"Inevitably, traffic takes time away from our regular activities. Railways play a significant role in moving enormous quantities of people and heavy things from one area to another in a densely populated country like India. Unfortunately, certain natural hazards such as floods, landslides, and heavy rains that cause avalanches often lead to certain accidents here, especially on steep terrain. I have. This research uses Wi-Fi and IoT sensors to predict the occurrence of disasters. This work presents the idea of landslide detection in hilly areas. The cloud receives acceleration data for specific areas. In this study, accelerometers, temperature sensors, and water level sensors are used as key smart devices for monitoring landslides. Although expensive, routine maintenance-intensive, and having a constrained range of interactions, cable-based monitoring systems have these drawbacks. This issue is addressed with IoT and Wi-Fi sensor networks. To store environmental data for future reference, a sophisticated Wi-Fi landslide monitoring system collects data from slopes. As a result of landslide threats, it can find landslides, alert people, and stop railroad accidents.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131124725","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
Modern Technology Usage For Education Field During COVID-19: Statistical Analysis 新冠肺炎疫情期间教育领域现代技术应用的统计分析
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051242
Navya Maria Joson, Abbinaya Jayakumar, N. Jayapandian
{"title":"Modern Technology Usage For Education Field During COVID-19: Statistical Analysis","authors":"Navya Maria Joson, Abbinaya Jayakumar, N. Jayapandian","doi":"10.1109/C2I456876.2022.10051242","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051242","url":null,"abstract":"The COVID-19 pandemic has had vast effects on the concept of education as a whole. During the pandemic, students had no access to physical teaching practices, which had been adapted worldwide as the principal way of education since the 1800's. Due to the restrictions imposed to garner safety from the spread of the virus, this methodology had to be modified based on the situation at hand. Alternatives through the usage of Virtual Learning Platforms (VLP), Online Tutoring Platforms (OTP), Web Conferencing Platforms (WCP) and multiple assessment tools like plagiarism checker, poll sites, quiz platforms, online proctored examinations (OPE) started gaining popularity among all institutes to cope with the limitations levied. The technologies molded a path for student-teacher interaction, performance assessments, document sharing and online tutoring. This research highlights the lack of online tutoring equipment, educators' limited expertise with online learning, the knowledge gap, a inimical atmosphere for independent study, equity, and academic success in postsecondary learning. The goal of this review is to present an overview of available technologies for online teaching that can be used to improve the quality of education during COVID-19.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127572526","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
Anti Fraud Detection Model Using Deep Learning Approach 基于深度学习方法的反欺诈检测模型
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051372
Vnln Murthy, A. Bhanu Prasad, Bjv Varma, Hariharan Shanmugasundaram
{"title":"Anti Fraud Detection Model Using Deep Learning Approach","authors":"Vnln Murthy, A. Bhanu Prasad, Bjv Varma, Hariharan Shanmugasundaram","doi":"10.1109/C2I456876.2022.10051372","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051372","url":null,"abstract":"Recently, Internet finance has become more and more popular. However, bad debts becamea serious threat to online finance corporations. A commonly used fraud detection models by the traditional monetary companies is logistic regression. In this paper we use dataset consisting large publicloans data of a financial company i.e., Lending Club to check the potential of deep neural networks in fraud detection. Once this dataset is loaded we dealtwith the missing values and data pre-processing. With this pre-processed data, we extracted important features using the XGBoost algorithm and developed a CNN deep neural network to detect loan fraud on the Internet. Extensive experiments were conducted to prove that deep neural networks are superior tocommonly used models. This easy and effective model can give enlightenment for the utilization of deep learning to combat online loan fraud, which can profit the financial engineers of tiny and medium-sized financial corporations.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133414651","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
IEEE Copyright and Consent Form IEEE版权及同意表格
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/c2i456876.2022.10051251
{"title":"IEEE Copyright and Consent Form","authors":"","doi":"10.1109/c2i456876.2022.10051251","DOIUrl":"https://doi.org/10.1109/c2i456876.2022.10051251","url":null,"abstract":"To ensure uniformity of treatment among all contributors, other forms may not be substituted for this form, nor may any wording of the form be changed. This form is intended for original material submitted to the IEEE and must accompany any such material in order to be published by the IEEE. Please read the form carefully and keep a copy for your files.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133926221","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
IEEE Copyright and Consent Form IEEE版权及同意表格
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/c2i456876.2022.10051609
{"title":"IEEE Copyright and Consent Form","authors":"","doi":"10.1109/c2i456876.2022.10051609","DOIUrl":"https://doi.org/10.1109/c2i456876.2022.10051609","url":null,"abstract":"To ensure uniformity of treatment among all contributors, other forms may not be substituted for this form, nor may any wording of the form be changed. This form is intended for original material submitted to the IEEE and must accompany any such material in order to be published by the IEEE. Please read the form carefully and keep a copy for your files.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116749337","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
Intelligent Shopping Cart using IoT Technology 使用物联网技术的智能购物车
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051402
Patil Mounica, Karuppiah Natarajan, Ravivarman Shanmugasundaram
{"title":"Intelligent Shopping Cart using IoT Technology","authors":"Patil Mounica, Karuppiah Natarajan, Ravivarman Shanmugasundaram","doi":"10.1109/C2I456876.2022.10051402","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051402","url":null,"abstract":"In today's cities, shopping and browsing for things in shopping malls have become a regular activity. At shopping malls, during vacations and weekend breaks., a diverse range of people is observed. When there are exceptional bargains and reduced rates, there is a rush. People used to purchase different items and place them in their shopping carts. Following the overall purchase., the invoicing response should be used for invoicing and production resettlement. The cashier creates the bill using a bar code reader in the invoicing response. This is a time-consuming method and leads to long queues at the invoicing counters. The goal of this project is to reduce lines at invoicing counters in shopping malls. The smart shopping cart accomplishes the same goal by displaying the total cost of the items in the cart. By doing so, the customer simply pays the price in-app or via the invoicing response, and then walks away with the goods he or she has purchased. The Arduino Uno, RFID Component, RFID Card, and Buzzer are all required components. It eliminates the conventional scanning of things at the point of response, which speeds up the entire purchasing process. The consumer is aware of the total amount due using this technique. As a result, the client plans his purchases simply by acquiring the most important commodities in accordance with his budgetary resources. Since the entire billing process is based on RFID, the risk of human error is considerably reduced. The system also has a feature that allows users to clear their checked goods, which improves the shopping experience even further.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115828405","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
IEEE Copyright and Consent Form IEEE版权及同意表格
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/c2i456876.2022.10051396
{"title":"IEEE Copyright and Consent Form","authors":"","doi":"10.1109/c2i456876.2022.10051396","DOIUrl":"https://doi.org/10.1109/c2i456876.2022.10051396","url":null,"abstract":"To ensure uniformity of treatment among all contributors, other forms may not be substituted for this form, nor may any wording of the form be changed. This form is intended for original material submitted to the IEEE and must accompany any such material in order to be published by the IEEE. Please read the form carefully and keep a copy for your files.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"317 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123236781","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
Prototyping gNBs for Non-Public Networks 用于非公共网络的gnb原型
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051296
J. Arroyo-Giganto, P. González-Méndez, M. Purriños-Paz, J. Escudero-Garzás, P. Losada-Sanisidro, Zaloa Fernández, Felipe Mogollon, Inhar Yeregui, Miguel Catalan-Cid
{"title":"Prototyping gNBs for Non-Public Networks","authors":"J. Arroyo-Giganto, P. González-Méndez, M. Purriños-Paz, J. Escudero-Garzás, P. Losada-Sanisidro, Zaloa Fernández, Felipe Mogollon, Inhar Yeregui, Miguel Catalan-Cid","doi":"10.1109/C2I456876.2022.10051296","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051296","url":null,"abstract":"Non-Public Networks (NPN), also known as Mobile Private Networks (MPN), can offer on-demand connectivity to industry sectors through base station deployments based on the SDR (Software Defined Radio) paradigm, combining the required 5G protocols with general-purpose hardware that provides a flexible and low-cost solution. This paper presents two RF front-ends for 5G base stations (gNB) built from low-cost and flexible commercial components in terms of operating bands and studies their performance in terms of throughput, latency, and coverage area measured in suburban and urban areas. Finally, measurements in an experimental environment are presented as a benchmark for 5G network deployments.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124745603","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
Air quality improvement by employing smart traffic management system controlled by internet of things for Botswana in the sub Saharan region of Africa 非洲撒哈拉以南地区博茨瓦纳采用物联网控制的智能交通管理系统改善空气质量
2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2022-12-15 DOI: 10.1109/C2I456876.2022.10051600
Leo John Baptist Andrews, Raymon Antony Raj, Sampath Kumar V, D. Sarathkumar
{"title":"Air quality improvement by employing smart traffic management system controlled by internet of things for Botswana in the sub Saharan region of Africa","authors":"Leo John Baptist Andrews, Raymon Antony Raj, Sampath Kumar V, D. Sarathkumar","doi":"10.1109/C2I456876.2022.10051600","DOIUrl":"https://doi.org/10.1109/C2I456876.2022.10051600","url":null,"abstract":"The rapid urbanization of towns and villages had led to the development of smart traffic control systems to reduce traffic congestion. Rapid urbanization increases the number of vehicles, which results in air pollution, additionally with the traffic. It's the most formidable challenge for humans to control the traffic and air pollution, and it is beyond the control of humans. Many steps are taken for traffic management and air pollution control. The principle of smart cities comes from the utilization of Information and Communication Technology (ICT) using the interconnection of physical devices over the internet. The constraints faced during traffic management, where the population is denser, lead to misleading information and accidents. The smart traffic control system using ICT and IoT overcomes the challenges confronting the elimination of such abnormalities and helps to manage traffic congestion efficiently. This paper describes the smart traffic control system model developed using the IoT infrastructure aids low budget control to both the urban and rural environment irrespective of the infrastructure.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123724260","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
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