2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)最新文献_第2页

Textile Multiple Input Multiple Output Antenna for X-Band and Ku-Band Uplink-downlink Applications

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119936

A. Biswas, U. Chakraborty

引用次数: 2

T-BCIDS: Trust-Based Collaborative Intrusion Detection System for VANET 基于信任的VANET协同入侵检测系统

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119934

Tarak Nandy, R. M. Noor, Mohd Yamani Idna Bin Idris, Sananda Bhattacharyya

{"title":"T-BCIDS: Trust-Based Collaborative Intrusion Detection System for VANET","authors":"Tarak Nandy, R. M. Noor, Mohd Yamani Idna Bin Idris, Sananda Bhattacharyya","doi":"10.1109/NCETSTEA48365.2020.9119934","DOIUrl":"https://doi.org/10.1109/NCETSTEA48365.2020.9119934","url":null,"abstract":"With the development of an intelligent transport system (ITS), security becomes an increasingly important issue. The Vehicle ad-hoc network (VANET) security researchers have shown enormous development on the field. Among all, the intrusion detection system (IDS) is creating the highest attraction. Additionally, a way of multidisciplinary researches has proved the importance of IDS over VANET. In this paper, a trust-based collaborative intrusion detection system (T-BICDS) is proposed. In which, each car maintains a score table of other cars in the network to identify their previous pattern of network behavior. Additionally, the vehicles gather real-time network traffic can analysis based on local IDS agent, which is equipped with k-nearest neighbors kNN nonlinear classifier. Besides, a vehicle can collaborate with other neighboring vehicles and update the score table to identify intruders in real-time as well as use the table for future prediction. Finally, we have concluded with potential future works out of this effort.","PeriodicalId":267921,"journal":{"name":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130113457","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: 14

A Proficient Video Compression using Block based Fragmented Cosine Transform (BFCT) in Wireless Multimedia Sensor Network (WMSN) 基于块分割余弦变换(BFCT)的无线多媒体传感器网络视频压缩技术

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119930

Pulakesh Roy, Dibyendu Roy, Rajib Banerjee

引用次数: 1

Design of Mushroom Shaped Dielectric Resonator Antenna for Communication Applications 通信用蘑菇状介质谐振器天线的设计

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119937

D. Rani, Deepak Kumar, M. Mondal, Debashis Nandi

引用次数: 0

Hand Movement Recognition Using Cross Spectrum Image Analysis of EMG Signals-A Deep Learning Approach 基于肌电信号交叉频谱图像分析的手部运动识别——一种深度学习方法

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119911

Sayanjit Singha Roy, Kaniska Samanta, S. Chatterjee, Sayantan Dey, Arnab Nandi, Ronjoy Bhowmik, Shoumosree Mondal

{"title":"Hand Movement Recognition Using Cross Spectrum Image Analysis of EMG Signals-A Deep Learning Approach","authors":"Sayanjit Singha Roy, Kaniska Samanta, S. Chatterjee, Sayantan Dey, Arnab Nandi, Ronjoy Bhowmik, Shoumosree Mondal","doi":"10.1109/NCETSTEA48365.2020.9119911","DOIUrl":"https://doi.org/10.1109/NCETSTEA48365.2020.9119911","url":null,"abstract":"Accurate recognition of hand movements using electromyography (EMG) signals is important to develop robust human-machine interface system for upper limb prosthetic control. For accurate detection and classification of different movements, proper feature selection from EMG signals is necessary, failure of which may often lead to incorrect results. To this end, this article presents an image processing aided deep learning approach for detection and classification of hand movement EMG signals. In this study, EMG signals for both left hand and right hand movements were procured from an existing database. A reference signal for each category was chosen as reference and cross spectrum of the rest of the EMG signals was done with the reference signal. The resultant cross-wavelet spectrum images of both classes of EMG signals were fed to a pre-trained convolution neural network (CNN) for the purpose of detection and classification of hand movements. It has been observed that the proposed method returned an average classification accuracy of 97.6% in segregating different categories of EMG signals. Besides, the performance of the proposed method analyzed using different CNN architectures was also found to be robust. The proposed method can be implemented for real-time detection of hand movements.","PeriodicalId":267921,"journal":{"name":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128500641","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: 4

Chemical Reaction Optimization based Fuzzy-PID Controller for Automatic Load Frequency Control with SMES 基于化学反应优化的模糊pid控制器在中小企业负荷频率自动控制中的应用

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119927

Abhijit Ghosh, S. Dutta

引用次数: 0

Instrumental Analysis of Groundwater and Water Quality Index in Fuljhore, Durgapur using GIS 基于GIS的富尔杰霍尔地区地下水及水质指数仪器分析

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119932

M. Raja, C. Kumar, R. Jayesh, K. Tiwari, Chhanda Roy

引用次数: 0

Design of an Optical Full Adder based on Electro-Optic effect in Mach-Zehnder Interferometers 基于Mach-Zehnder干涉仪电光效应的全加法器设计

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119941

Shreyan Datta, Shivaleela Es

引用次数: 0

A Survey of Predictive Crime Mapping Techniques for Smart Cities 面向智慧城市的预测犯罪测绘技术综述

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119948

Ira Kawthalkar, Siddhesh Jadhav, Damnik Jain, Anant V. Nimkar

引用次数: 1

Chaotic biogeography-based optimization (CBBO) algorithm applied to economic load dispatch problem 基于混沌生物地理的优化算法在经济负荷调度中的应用

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119956

Amit Mistri, P. Roy, B. Mandal

引用次数: 3