2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)最新文献

Analyses of different methods of writing using SVM classifier 使用SVM分类器对不同的写作方法进行了分析

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689248

Akhil V M, C. J, Deepa Itagi, K. R. Prakash

引用次数: 0

IoT Security in Supply Chain Using Blockchain 使用区块链的供应链物联网安全

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689263

A. N, V. M

{"title":"IoT Security in Supply Chain Using Blockchain","authors":"A. N, V. M","doi":"10.1109/C2I454156.2021.9689263","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689263","url":null,"abstract":"The Internet of Things (IoT) has grown rapidly over the last decade as an emerging technology, offering various Internet-enabled devices to communicate in different contexts. With an ever-increasing time frame of the digital world, traceability and authentication have gained enormous significance. In general, a trusted third party is used to authenticate users, devices, or services in an IoT environment. However, in such situations, this centralized third party will become the focus of cyberattacks might not be the best solution. In this paper, a new authentication algorithm has been proposed to prevent malicious IoT devices. We address the traceability and authentication issues in IoT devices. This paper presents the concept of a blockchain that integrates Physical Unclonable Functions (PUFs) to solve security issues, malicious activities, latency, and energy consumption challenges. The results show that the proposed solution outperforms existing solutions with less computational overhead. Similarly, the possibility of an attack is decreased compared to the current system. Throughput is enhanced by 20% over the present system, while latency is decreased by 25% over the previous technique. As a consequence, the likelihood of an attack is decreased by 30% compared to the existing technique.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"372 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117081981","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

Investigation of Near Field EMI in Ferrofluid Based Miniature Electronic Devices and Systems 基于铁磁流体的微型电子器件和系统的近场电磁干扰研究

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689394

Vipan Kumar, Harry Garag, V. Karar

引用次数: 0

Implementation of Three Input AND Gate Using Polarization Switch 用偏振开关实现三输入与门

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689427

Manas Kumar Garai, M. Mandal, Sisir Kumar Garai

引用次数: 0

Modeling of EV Load and Its Impacts on the Distribution System for Static Condition 静态状态下电动汽车负荷建模及其对配电系统的影响

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689324

S. Tripathy, S. Mohanty, S. R. Ghatak, P. Sinha

引用次数: 1

Ensuring Stable System Performance with HHO Optimized Controller in a Deregulated AGC System Incorporating EVs and Wind Generator 基于HHO优化控制器的电动汽车和风力发电机AGC系统稳定性研究

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689277

Shyama P Das, Shivanshu Kumar, D. Saha, Manish Kumar

{"title":"Ensuring Stable System Performance with HHO Optimized Controller in a Deregulated AGC System Incorporating EVs and Wind Generator","authors":"Shyama P Das, Shivanshu Kumar, D. Saha, Manish Kumar","doi":"10.1109/C2I454156.2021.9689277","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689277","url":null,"abstract":"The technical article emphasizes on automatic generation control of a deregulated renewable energy integrated power system under bilateral transactions. A powerful algorithm namely Harris Hawk Optimization technique based industrial controllers serve the purpose of secondary control in the considered two area power system. Non linearity's are incorporated to get a realistic system with generation rate constraint, governor dead band and reheat turbine. Comparison of performance of industrial controllers infer the superiority of Proportional Integral Derivative Controller over Integral and Proportional-Integral Controller by observing Peak Overshoot, settling time, time of convergence and number of iterations. The proposed system also investigates the increase in disturbances from 3% to 5% in steps. The intermittency is also increased by replacing a thermal plant in Area 1 with a number of Electrical Vehicles (EV) in V2G mode. Results are evident regarding the stable performance of the proposed system with EV inclusion. Further studies are carried out to select the area participation factor of each generating companies (GENCO) in both control areas after incorporating EV source in Area 1.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126435281","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

Complex Pattern Recognition using Feedback Algebraic Activation Function 基于反馈代数激活函数的复杂模式识别

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689426

P. Dhivya, A. Bazilabanu

引用次数: 0

Ocean Climate prediction using Adaptive Optimization Technique 基于自适应优化技术的海洋气候预测

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689439

D. Menaka, Sabitha Gauni, Govardhanan Indiran, G. G. Krishna, Ashwin Subramanian

{"title":"Ocean Climate prediction using Adaptive Optimization Technique","authors":"D. Menaka, Sabitha Gauni, Govardhanan Indiran, G. G. Krishna, Ashwin Subramanian","doi":"10.1109/C2I454156.2021.9689439","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689439","url":null,"abstract":"The ocean parameters including Sea Surface Temperature (SST) and Density are indispensable in predicting the climate of a particular region which are useful in forecasting weather and planning maritime operations. Buoys used in capturing real-time data of ocean parameters will generally be in continuous movement due to dynamic effects in the sea and these buoys need constant monitoring, though they are anchored, they tend to break away during adverse situations. One way to determine the related ocean parameters, as well as the position of the buoys shortly, is by using a model which is data-driven, and it also creates a neural network to solve the prediction problem. This neural network is a time series regression method and is a branch of Recurrent Neural Network (RNN) called Long Short-Term Memory (LSTM). The main objective of our paper is to propose the use of the optimization technique Particle swarm Optimization (PSO) with LSTM for improving the accuracy of predicting the sea surface temperature and locate the position of sensor nodes as these neural network approaches converge and often tend to fall into the optimal local solution.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122494695","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

IoT and Big Data for ECG Signal Classification - A Quick Decision System 基于物联网和大数据的心电信号分类——一个快速决策系统

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689420

S. Virgeniya, E. Ramaraj

{"title":"IoT and Big Data for ECG Signal Classification - A Quick Decision System","authors":"S. Virgeniya, E. Ramaraj","doi":"10.1109/C2I454156.2021.9689420","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689420","url":null,"abstract":"Internet of Things (IoT) based Electrocardiogram(ECG) monitoring system is a non-surgical tool to detect cardiac arrhythmias. Recently, IoT plays a major part in monitoring heart disease patients. Data collection using IoT is reliable, faster, easier to store and view on the remote server. The vast quantity of information produced by IoT sensors is stored and processed using big data tools like Hadoop Distributed File System (HDFS) and is available to doctors through cloud services. In the present work, for reducing the risk of heart attacks, a Quick Decision System (QDS) is presented for finding cardiac arrhythmias at the earliest. The presented QDS involves Data Collection, Data Preprocessing, Feature Extraction, and Classification of ECG signals into Normal or Arrhythmia. It uses Principal Component Analysis(PCA) for feature extraction, and Rule Induced Sequential Covering Algorithm termed as RI-SCA for classification of heart disease. The performance of the introduced model is experimented with using benchmark PTB-XL dataset and the results show that the presented QDS achieved an accuracy of 89% compared to the other machine learning classifiers.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131155015","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

Design of H-Shaped and Ring Slot Patch Antenna for X-band Applications 用于x波段应用的h形和环形槽贴片天线的设计

2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4) Pub Date : 2021-12-16 DOI: 10.1109/C2I454156.2021.9689406

S. Jabeen, P. Swetha

引用次数: 0