2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)最新文献_第5页

Negative Bias Temperature Instability Benefits on Power Reduction Techniques 负偏置温度不稳定性对降低功耗技术的好处

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821223

Sreekala K S, S. Krishnakumar

引用次数: 1

Security Challenges in Computing System, Communication Technology and Protocols in IoT system 物联网系统中计算系统、通信技术和协议的安全挑战

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821074

D. Santhadevi, B. Janet

引用次数: 6

FEM Analysis of 200kVA High Frequency Transformer for Solid State Traction Converters 固态牵引变流器用200kVA高频变压器有限元分析

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821143

N. John, R. Muraleedharan, Deepu E Koshy, Jineeth Joseph

引用次数: 1

Improved Gain and Bandwidth Performance of a Rectangular Microstrip Patch Antenna using Conventional Techniques in a Novel Sense 利用传统技术改进矩形微带贴片天线的增益和带宽性能

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821215

Deepanshu Kaushal, T. Shanmuganantham

引用次数: 0

Crime Intention Detection System Using Deep Learning 基于深度学习的犯罪意图检测系统

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821168

Umadevi V Navalgund, P. K.

{"title":"Crime Intention Detection System Using Deep Learning","authors":"Umadevi V Navalgund, P. K.","doi":"10.1109/ICCSDET.2018.8821168","DOIUrl":"https://doi.org/10.1109/ICCSDET.2018.8821168","url":null,"abstract":"Circuit Television Cameras (CCTV’s) are widely used to control occurrence of crimes in the surroundings. Although CCTV’s are deployed at various public and private areas to monitor the surroundings there is no improvement in the control of crimes. This is because CCTV requires human supervision which may lead to human prone errors like missing of some important crime events by human while monitoring so many screens recorded by CCTV’s at same time. To overcome this issue, we came up with Crime Intension Detection System that detects crime in real time videos, images and alerts the human supervisor to take the necessary actions. To alert the supervisors or nearby police station about the occurrence of crime. We added SMS sending module to our system which sends SMS to concern person whenever crimes are detected. The proposed system is implemented using Pre-trained deep learning model VGGNet-19 which detects gun and knife in the hand of person pointing to some other person. We also compared the working of two different pre-trained models like GoogleNet InceptionV3 in training. The results obtained with VGG19 are more accurate in terms of training accuracy. This motivated us to use VGG19 with little fine tuning to detect crime intention in videos and images to overcome the issues with existing approaches with more accuracy. And we made use of Fast RCNN and RCNN these algorithms are well known as Faster RCNN this helps us to draw the bounding box over objects in images like person, gun, knife and some untrained images are marked with N/A. Algorithms help for detection and classifications of objects over images.","PeriodicalId":157362,"journal":{"name":"2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132673789","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: 29

Intrusion Detection of Wormhole Attack in IoT: A Review 物联网中虫洞攻击的入侵检测研究进展

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821160

Minalini Goyal, M. Dutta

引用次数: 15

SAMRAKSHA : Developing a real-time and automatic early warning system for forest fire SAMRAKSHA:开发森林火灾实时自动预警系统

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821124

A. Chand, K. Bhargavi, R. S. Kiran, M. Kaushik, D. R. Prashanthi, S. S. Kumar

{"title":"SAMRAKSHA : Developing a real-time and automatic early warning system for forest fire","authors":"A. Chand, K. Bhargavi, R. S. Kiran, M. Kaushik, D. R. Prashanthi, S. S. Kumar","doi":"10.1109/ICCSDET.2018.8821124","DOIUrl":"https://doi.org/10.1109/ICCSDET.2018.8821124","url":null,"abstract":"A forest fire is an uncontrollable fire occurring in nature. The forest fires are so ravishing and have a spreading nature such that it takes a heavy period for firefighting crews to take control over the situation.Forest fires causes imbalances in nature and endangers bio-diversity by reducing faunal and floral wealth. Traditional methods of fire prevention are not proving effective and it is now essential to raise public awareness on the forest fires, particularly among people who live closer to forest areas.The forest fires mainly varies from year to year basis and quite a quite a long time elapse between forest fires that are considered to be large. Even the climatic conditions matters the cause of extent of forest fires. Forest fires are more vulnerable in spring and summer seasons. Weather conditions such as precipitation and wind, as well as out of terrain are important factors in determining the size of forest fire. By the estimation levels of research that most of the forest fires are caused mainly due to human, although the causes of a significant number of forest fires remains unknown.","PeriodicalId":157362,"journal":{"name":"2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130654700","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

Energy Efficient Modern Home Using Smart Boards for IoT Energy Automation 使用智能板实现物联网能源自动化的节能现代家庭

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821228

D. Sindhanaiselvi, S. Keerthikaa, T. Shanmuganantham

引用次数: 2

Comprehensive Review of various Hand Detection Approaches 全面回顾各种手部检测方法

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821238

S. Gulati, Rosepreet Kaur Bhogal

引用次数: 2

Energy Efficient Detection-Removal Algorithm for Selective Forwarding Attack In Wireless Sensor Networks 无线传感器网络中选择性转发攻击的高能效检测-去除算法

2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) Pub Date : 2018-12-01 DOI: 10.1109/ICCSDET.2018.8821213

T. Sreelakshmi, G. Binu

{"title":"Energy Efficient Detection-Removal Algorithm for Selective Forwarding Attack In Wireless Sensor Networks","authors":"T. Sreelakshmi, G. Binu","doi":"10.1109/ICCSDET.2018.8821213","DOIUrl":"https://doi.org/10.1109/ICCSDET.2018.8821213","url":null,"abstract":"Wireless sensor networks (WSNs) propose the promise of a flexible, low cost solution for monitoring critical infrastructure. Sensor networks have been recommended for applications such as traffic monitoring, military and battlefield surveillance. Wireless sensor networks are more prone to security attacks due to their broadcasting nature of the transmission medium and unattended deployment of nodes in hostile and unfriendly areas where they are not protected as compared to wired networks. Attackers can deploy various types of security attacks to obstruct the security of WSNs. Network layer attacks are more severe since if the routing information is disregarded, disturbances may bring about routing loops, changing of routes etc. Selective forwarding attack is a type of active attack affecting network layers that selectively drops or refuses to forward the data packets. This paper discusses about an energy efficient detection-removal algorithm for effective detection of selective forwarding attack in a clustered WSN scenario. The impact of the malicious node in network parameters like packet delivery ratio, throughput, residual energy of network and end to end delay are analyzed.","PeriodicalId":157362,"journal":{"name":"2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128362493","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