International Journal of Information Technology Convergence and Services最新文献

APPLICATION OF VARIOUS DEEP LEARNING MODELS FOR AUTOMATIC TRAFFIC VIOLATION DETECTION USING EDGE COMPUTING 基于边缘计算的各种深度学习模型在交通违章自动检测中的应用

International Journal of Information Technology Convergence and Services Pub Date : 2023-04-29 DOI: 10.5121/ijitcs.2023.13201

R. P, C. S, Pavithra H, P. K, Nehal Chakravarthy M D, Shivaraj B Karegera

{"title":"APPLICATION OF VARIOUS DEEP LEARNING MODELS FOR AUTOMATIC TRAFFIC VIOLATION DETECTION USING EDGE COMPUTING","authors":"R. P, C. S, Pavithra H, P. K, Nehal Chakravarthy M D, Shivaraj B Karegera","doi":"10.5121/ijitcs.2023.13201","DOIUrl":"https://doi.org/10.5121/ijitcs.2023.13201","url":null,"abstract":"A rapid growth in the population and economic growth has resulted in an increasing number of vehicles on road every year. Traffic congestion is a big problem in every metropolitan city. To reach their destination faster and to avoid traffic, some people are violating traffic rules and regulations. Violation of traffic rules puts everyone in danger. Maintaining traffic rules manually has become difficult over the time due to the rapid increase in the population. This alarming situation has be taken care of at the earliest. To overcome this, we need a real-time violation detection system to help maintain the traffic rules. The approach is to detect traffic violations in real-time using edge computing, which reduces the time to detect. Different machine learning models and algorithms were applied to detect traffic violations like traveling without a helmet, line crossing, parking violation detection, violating the one-way rule etc. The model implemented gave an accuracy of around 85%, due to memory constraints of the edge device in this case NVIDIA Jetson Nano, as the fps is quite low.","PeriodicalId":418938,"journal":{"name":"International Journal of Information Technology Convergence and Services","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130317307","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

Industry 4.0 as an Opportunity to Achieve Environmental Sustainability: The Difference between SMES and Large Companies 工业4.0是实现环境可持续发展的机遇:中小企业与大公司的区别

International Journal of Information Technology Convergence and Services Pub Date : 2022-02-28 DOI: 10.5121/ijitcs.2022.12101

Mohamed El Merroun

引用次数: 1

Simulating Attention Disorder in Autistic Patients based on a Computational Model with Neural Networks Reinforcement Learning Approach 基于神经网络强化学习计算模型的自闭症患者注意力障碍模拟

International Journal of Information Technology Convergence and Services Pub Date : 2021-12-31 DOI: 10.5121/ijitcs.2021.11601

Seyedeh Samaneh Seyedi, Abolfazl Darroudi

引用次数: 0

GLOBAL INFORMATION TECHNOLOGY INFRASTRUCTURE IN ADDRESSING THE PROBLEM OF ENVIRONMENTAL DEGRADATION IN KENYA 解决肯尼亚环境退化问题的全球信息技术基础设施

International Journal of Information Technology Convergence and Services Pub Date : 2019-02-28 DOI: 10.5121/IJITCS.2019.9101

P. Owoche, Franklin Wabwoba, A. N. Wechuli

引用次数: 1

Android Untrusted Detection with Permission Based Scoring Analysis Android不可信检测与基于权限的评分分析

International Journal of Information Technology Convergence and Services Pub Date : 2018-08-30 DOI: 10.5121/ijitcs.2018.8401

Jackelou Sulapas Mapa

{"title":"Android Untrusted Detection with Permission Based Scoring Analysis","authors":"Jackelou Sulapas Mapa","doi":"10.5121/ijitcs.2018.8401","DOIUrl":"https://doi.org/10.5121/ijitcs.2018.8401","url":null,"abstract":"Android smart phone is one of the fast growing mobile phones and because of these it the one of the most preferred target of malware developer. Malware apps can penetrate the device and gain privileges in which it can perform malicious activities such reading user contact, misusing of private information such as sending SMS and can harm user by exploiting the users private data which is stored in the device. The study is about implementation of detecting untrusted on android applications, which would be the basis of all future development regarding malware detection. The smartphone users worldwide are not aware of the permissions as the basis of all malicious activities that could possibly operate in an android system and may steal personal and private information. Android operating system is an open system in which users are allowed to install application from any unsafe sites. However permission mechanism of and android system is not enough to guarantee the invulnerability of the application that can harm the user. In this paper, the permission scoring-based analysis that will scrutinized the installed permission and allows user to increase the efficiency of Android permission to inform user about the risk of the installed Android application, in this paper, the framework that would classify the level of sensitivity of the permission access by the application. The framework uses a formula that will calculate the sensitivity level of the permission and determine if the installed application is untrusted or not. Our result show that, in a collection of 26 untrusted application, the framework is able to correct and determine the application's behavior consistently and efficiently.","PeriodicalId":418938,"journal":{"name":"International Journal of Information Technology Convergence and Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126822956","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