2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)最新文献_第3页

Developing a Suitability Index Algorithm for Recruitment 招聘适宜性指标算法研究

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119944

Karunamoy Maji, Dr. A. B. Bera

{"title":"Developing a Suitability Index Algorithm for Recruitment","authors":"Karunamoy Maji, Dr. A. B. Bera","doi":"10.1109/NCETSTEA48365.2020.9119944","DOIUrl":"https://doi.org/10.1109/NCETSTEA48365.2020.9119944","url":null,"abstract":"the recruitment process is a key function for HR division in any organization and is the initial step towards creating strength. Selecting fresh members with appropriate knowledge and skill is a challenging assignment for the selection committee experts/reviewers. Selection needs an extensive effort and cost which becomes more prominent while the organization hires entry-level professionals.Previous studies found that during shortlisting, candidates are filtered based on essential and additional criteria. While AHP and FAHP have been used in recent years for this purpose, we find the suitability index algorithm more promising. In this research work, we propose to develop a ranking algorithm for the recruitment of employees in a reputed academic institution.To create an employability index as a reference for finalizing eligibility of candidates in the future recruitment process for the same cadre of employees. The additional criteria may be generated from the employability index and the suitability score (rank) will be formed by using basic and additional criteria during the short-listing process for the upcoming recruitment cycle.","PeriodicalId":267921,"journal":{"name":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","volume":"29 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":"121371698","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

Security in Wireless Sensor Networks: Attacks and Evasion 无线传感器网络的安全:攻击与规避

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119947

Sayamuddin Ahmed Jilani, C. Koner, Shovon Nandi

{"title":"Security in Wireless Sensor Networks: Attacks and Evasion","authors":"Sayamuddin Ahmed Jilani, C. Koner, Shovon Nandi","doi":"10.1109/NCETSTEA48365.2020.9119947","DOIUrl":"https://doi.org/10.1109/NCETSTEA48365.2020.9119947","url":null,"abstract":"Wireless Sensor network is a typical research area, where energy efficiency is a key issue. It is popular due to low cost solution and real world problem solving features. WSN is also very prone to attack due to the nodes which is resource constraint. Security is a vast topic with a lot of aspects and is so much paramount particularly for different types of attacks. The architecture of wireless networks is unstable and therefore their orientations transmission is what makes them vulnerable. This study has evaluated the threats on WSN; the most common threats are DoS, black hole attack and wormhole attack. These attacks generally lead to the data fragments within a network to be replicated or sometimes been destroyed. Therefore, there needs to be a detection system that acts as a firewall and that can be able to detect intrusions in real time scenarios. In this paper we tended to the most common attacks and proposed a novel detection algorithm, ready to identify intrusions in real time scenarios progressively situations with a proposition of expansion of future work.","PeriodicalId":267921,"journal":{"name":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","volume":"41 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":"131443204","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: 10

A Modified MPPT Algorithm for Single Phase Grid Connected PV System 一种改进的单相并网光伏系统MPPT算法

2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA) Pub Date : 2020-02-01 DOI: 10.1109/NCETSTEA48365.2020.9119938

Sandip Guha Thakurta

引用次数: 3

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