2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)最新文献_第7页

Comparison between standard classification methods for best suitability in urban scenario 城市场景中最佳适用性的标准分类方法比较

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198582

Annu Kumari, Gaurav Jain, A. Chhabra, Richa N. K. Sharma

{"title":"Comparison between standard classification methods for best suitability in urban scenario","authors":"Annu Kumari, Gaurav Jain, A. Chhabra, Richa N. K. Sharma","doi":"10.1109/CONECCT50063.2020.9198582","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198582","url":null,"abstract":"Satellite image is a picture of the terrain taken from far above the earth. It therefore has as many features as the terrain beneath. It becomes a challenge to categories these features correctly on the image. Categorizing the features into various classes is termed as classification of the satellite image. When the classification is done digitally, different geostatistical algorithms or classifiers, as they are called, may be used for the same terrain. A classifier may suit a particular geographical location and at the same time may not be appropriate for a different geographical location. It becomes a matter of study to find out the best suitable algorithm for classification digitally for a particular terrain. In this research, three classification techniques have been used, namely Deep Learning, OBIA classification and supervised classification. These three classification techniques were applied in this study to generate a proper and accurate land use map extracting urban area data based on the maximum accuracy. Since different classification techniques are applied on different areas in order to gain maximum accuracy hence, in order to extract urban area data in this study, three classification methods have been compared to check which one is most accurate and suitable.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130237706","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

Weak to strong atmospheric turbulence analysis in Free Space Optical Communication and mitigation using M-ary QAM 自由空间光通信中弱到强大气湍流分析及M-ary QAM缓解

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198360

Vijayashri V. Belgaonkar, R. Sundaraguru, Juturu Ujjwal Kumar Reddy, B. Mohan, Shridhar K U, Abhishek Gandham

引用次数: 1

Aagaahi - A Smart Helmet Aagaahi -一个智能头盔

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198395

A. Suman, Abhigya Parashar, Annada Shukla, K. R. Shobha

引用次数: 5

Queuing Policies for Enhanced Latency in Time Sensitive Networking 时间敏感网络中增强延迟的排队策略

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198623

Chanakya Basumatary, H. Satheesh

{"title":"Queuing Policies for Enhanced Latency in Time Sensitive Networking","authors":"Chanakya Basumatary, H. Satheesh","doi":"10.1109/CONECCT50063.2020.9198623","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198623","url":null,"abstract":"Time Sensitive Networking (TSN) is evolving with Industry 4.0 to enable deterministic ethernet communication in IEEE 802 networks. As many as 11 parts of IEEE 802 standard describes TSN features. TSN is getting adapted in wide range of applications such as Audio Video Bridging (AVB), Automotive, Aerospace, Industrial Automation etc., The major feature of TSN is to enable deterministic communication of time critical traffic while the best effort traffic sharing the same network. The traffic is prioritized based on the time-sensitivity of the information. The time-critical and best effort traffic are handled by independent processes in a Linux based TSN system. This paper describes an approach for enhancing latency by optimal selection of priorities, scheduling policies and CPU affinities of these processes. IEEE Standard 802.1Qbv introduces the concept of Time Aware Shaping (TAS) for improving determinism in TSN system. The proposed approach is to select these process settings in an optimal manner along with other TSN features namely, time synchronization and TAS. Experimental results are presented with summary of the observation.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127200049","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: 5

Towards the derivation of Multiple Representation Database 多表示数据库的派生研究

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198528

Jagadish Boodala, O. Dikshit, N. Balasubramanian

引用次数: 1

Selection of Players and Team for an Indian Premier League Cricket Match Using Ensembles of Classifiers 使用分类器集合选择印度板球超级联赛的球员和球队

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198371

P. Jhansi Rani, Aditya Vidyadhar Kamath, Aadith Menon, Prajwal Dhatwalia, D. Rishabh, Apurva Kulkarni

{"title":"Selection of Players and Team for an Indian Premier League Cricket Match Using Ensembles of Classifiers","authors":"P. Jhansi Rani, Aditya Vidyadhar Kamath, Aadith Menon, Prajwal Dhatwalia, D. Rishabh, Apurva Kulkarni","doi":"10.1109/CONECCT50063.2020.9198371","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198371","url":null,"abstract":"In In this work, we have shown how neural network and K-Means or Hierarchical clustering can be used in a combination, where clustering algorithms were used to significantly represent data in a meaningful way to predict the best batsman/bowler who is to be sent next for a given match condition at an Indian Premier League Cricket Match. We predicted the best bowler/batsman for a given match condition using match parameter of each and every ball. Tests were carried out using a variety of neural networks ranging from single layered perceptron to multilayered multi-neuron neural networks along with variety of data representation. Among these, the neural network with 3 hidden layers perceptron gave best results for batsman and bowlers respectively. These neural networks can produce fast and accurate results within 3 seconds. The activation functions used were ReLu and SoftMax. K-Means and hierarchical clustering was used to generate data. We also predict an ideal team for a match using K-Means Clustering and hierarchical clustering which found interesting and accurate patterns, constraints.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123983074","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: 5

Machine Learning Technology Using Thick Film Gas Sensor Toxic Liquid Detection For Industrial IOT Application 利用厚膜气体传感器检测工业物联网有毒液体的机器学习技术

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198535

Amit K. Gupta, V. Ravi Kumar

{"title":"Machine Learning Technology Using Thick Film Gas Sensor Toxic Liquid Detection For Industrial IOT Application","authors":"Amit K. Gupta, V. Ravi Kumar","doi":"10.1109/CONECCT50063.2020.9198535","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198535","url":null,"abstract":"Right now proposed paper has been made to investigate the affectability, reaction of SnO2 based Pd-doped thick gas sensor for hazardous liquid as for example Vodka, LPG and Whisky identification. 1\" × 1\" alumina matrix material was exploited prevarication of thick film gas sensor. It comprises of a gas touchy layer SnO2 doped with 1% Pd, a conjoin of electrodes underneath the gas detecting layer filling in as a contact cushion for the sensor. Likewise, a radiator component is additionally planned on the posterior of the substrate The affectability of the sensor has been learned at various Pd-doped concentration (1 % Pd doped) at a constants temperature 3000C upon exposure Vodka, LPG & Whisky. In this paper, experimental results simulate in Anaconda software with the Spyder tool (Spyder 3) tool using the python programming language. Python programming is written in machine learning clustering techniques and simulated results match the experimental results with different temperatures. Industrial internet of things predominantly exploited in the frame of reference for industry 4.0. In the proposed paper, IIoT was exploited for identifying hazardous liquid.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124552569","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

Transposed 3 Tap FIR Filter Design Using Consolidation of Pipelining and Parallel Processing Technique 利用整合流水线并行处理技术设计转置3分导FIR滤波器

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198361

Nehru Kandasamy, N. Telagam, Anughna N, Tirumalasetty Lohith Sai, Mooli Rushikeshava Reddy, Akula Rupanjali

引用次数: 1

A Compact high Power UWB TEM Horn Antenna 一种紧凑型大功率超宽带TEM喇叭天线

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198586

S. Yadav, Ashish Chittora

引用次数: 7

A Printed 4x4 MIMO Radiator for Dual band Applications 用于双频应用的打印4x4 MIMO散热器

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2020-07-01 DOI: 10.1109/CONECCT50063.2020.9198479

Ishita Deb, Vikash Kumar, Nanditha H G

引用次数: 0