2022 International Conference on Edge Computing and Applications (ICECAA)最新文献_第8页

A Novel and Efficient Method to Detect the Face Coverings to Ensurethe Safety using Comparison Analysis 一种新的、有效的利用对比分析法检测地表覆盖物以保证安全的方法

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936392

Ketan Rathor, Keyur Patil, Mandiga Sahasra Sai Tarun, Shashwat Nikam, Devanshi Patel, Sasanapuri Ranjit

{"title":"A Novel and Efficient Method to Detect the Face Coverings to Ensurethe Safety using Comparison Analysis","authors":"Ketan Rathor, Keyur Patil, Mandiga Sahasra Sai Tarun, Shashwat Nikam, Devanshi Patel, Sasanapuri Ranjit","doi":"10.1109/ICECAA55415.2022.9936392","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936392","url":null,"abstract":"A face mask worn by a single person or a group of individuals can be identified using face mask detection, an AI-based system that examines a video stream. A confidence value is produced for each detection by our DeepSight programme. Either a person is labeled as \"wearing a mask\" or \"not wearing a mask\" depends on their classification. The World Health Organization (WHO) recommends that a face mask completely cover the face, including the chin and nose. Face Mask Detection System may be used with both CCTV cameras and already-installed USB or IP cameras. To distinguish between persons wearing masks and those who aren’t, it employs the most recent computer vision techniques. Compact model’s accuracy is really great, and it can tell if you’re wearing a mask properly or not (i.e.; mask covering the nose). Face mask detection data may be used to a wide range of settings and sectors, including corporate offices, shops, public transit, airports, and taxis. The main motive of the paper by the author is represented as solving the problem using cnn and transfer learning and also a comparison between both the approaches.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121245955","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: 52

Analysis and Prediction of Location based Criminal Behaviors Through Machine Learning 基于位置的犯罪行为的机器学习分析与预测

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936498

Darshanaben Dipakkumar Pandya, Geetanjali Amarawat, Abhijeetsinh Jadeja, S. Degadwala, Dhairya Vyas

{"title":"Analysis and Prediction of Location based Criminal Behaviors Through Machine Learning","authors":"Darshanaben Dipakkumar Pandya, Geetanjali Amarawat, Abhijeetsinh Jadeja, S. Degadwala, Dhairya Vyas","doi":"10.1109/ICECAA55415.2022.9936498","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936498","url":null,"abstract":"Criminal Behaviors may be predicted, identified, and prevented via data mining. The research of criminal activity and its features is known as criminology. To be more accurate, crime analysis entails investigating and detecting crimes and their connections to convict. Because of the vast number of criminal record and intricacy of the linkages between different types of data, criminology is an excellent place to use data mining techniques. The first stage in doing more research is to identify criminal traits. This study offered an overview of current work in the field of crime prevention or prediction using data mining and machine learning technologies. For the system to learn, a year's worth of crime data is fed into it from a reliable Indian internet source that focuses on murder, kidnapping and abduction as well as dacoits and burglars and rape. To anticipate crime rates in different states, a regression model is created using Indian statistics, which provides data on a wide range of crimes over the last few years. A variety of Machine Learning techniques, including unsupervised, semi-supervised, and supervised learning, are used to improve the accuracy of crime predictions. Local police stations will benefit from this effort with regards to crime avoidance. The results may help policymakers better understand crime prediction and prevention.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123797500","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

Smart Bike Helmet with Vehicle Tracking System using Arduino 基于Arduino的带车辆跟踪系统的智能自行车头盔

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936590

Priya C, R. C, P. M, R. S, S. M

引用次数: 2

Development and Information Security of Hybrid English Interactive APP based on Mobile Internet Communication Network 基于移动互联网通信网的混合式英语交互APP开发及信息安全

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936479

Honggang Yan

引用次数: 0

Multi-cloud Terminal Stability Enhancement Framework of Sanquan Education Digital Oriented Student Management Information Platform 三全教育数字化学生管理信息平台多云终端稳定性增强框架

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936232

Ruiping Chen

引用次数: 0

A Systematic Review on Artificial Intelligence-based Opinion Mining Models 基于人工智能的意见挖掘模型系统综述

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936138

B. Madhurika, D. Malleswari

引用次数: 1

Coordinated Intelligent Control of Car's Handling Stability based on Electronically Controlled Air Suspension IoT Monitoring 基于电控空气悬架物联网监测的汽车操纵稳定性协同智能控制

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936521

Min Yang

引用次数: 0

Development of a Website for Malarial Detection using Deep Learning 基于深度学习的疟疾检测网站开发

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936219

B. Maheswari, M. Thimmaraju, V. Jeeva, Mahendranath Swain, Sandeep Kumar Singh, Ashok Kumar

{"title":"Development of a Website for Malarial Detection using Deep Learning","authors":"B. Maheswari, M. Thimmaraju, V. Jeeva, Mahendranath Swain, Sandeep Kumar Singh, Ashok Kumar","doi":"10.1109/ICECAA55415.2022.9936219","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936219","url":null,"abstract":"Malaria is a bacterial disease which is commonly caused by mosquitoes. In India, approximately, 7500 people have died due to malaria. The screening methods for malaria include the analysis of blood samples. This research aims the development a website that is capable of predicting malaria by analyzing the images of blood cells. For this purpose, images of blood cells are collected as a dataset from Kaggle. Both healthy and blood cells infected with malaria are included in this dataset. Next, the dataset's photos are selected for training, testing, and validation. The picked pictures are then scaled down to a specific size. With the help of the Convolutional Neural Network (CNN), a Deep Learning (DL) model is created. The preprocessed photos are then used to train this model. Model validation follows the training. The training and validation results are tallied and examined. Next, the model's accuracy and loss are evaluated. The highest accuracy of the model developed is 9% which was attained during the training. The model also produced the lowest loss value of 13% during the final epoch of the validation process. The model is then tested if the findings are satisfactory. The tested model is then deployed on a website. This website can be used as a pre-screening test for malaria in times when a person cannot reach out to the nearest doctor. This website can also be updated and converted as a software application in the future.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110129","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

Auxiliary Decision-Making System for College Curriculum Construction based on Big Data Technology 基于大数据技术的高校课程建设辅助决策系统

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936327

N. Zhang, Jinli Xie

引用次数: 0

Online Platform Innovation of Targeted Training in College Education based on Multi-Dimensional Information Data Mining 基于多维信息数据挖掘的高校定向培训在线平台创新

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI: 10.1109/ICECAA55415.2022.9936118

Li Xu

引用次数: 0