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

{"title":"Study of Real-Time Vibration and Hardware Implementation of Serial-Link Flexible Robot with Gripper","authors":"P. Chothe, Viinod Atpadkar, D. Roy","doi":"10.1109/C2I454156.2021.9689299","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689299","url":null,"abstract":"The Flexible Robotic System (FRS) is a real-time dynamic multi-body system with flexible links having the challenging issue of vibration which is self-propagating in nature. The paper addresses the distinctive and unique design of a representative FRS, augmented with worm-gear based revolute joints. Real-time actuation of such revolute joint is surely a novelty of the flexible robotic system developed. Besides, results of modal analysis, stress & deflection analysis of the developed FRS having three degrees-of-freedom will be reported. In this study, design as well as Finite Element Analysis of the flexible links and worm gear-based revolute joints has been accomplished. Apart from successful hardware testing of the prototype FRS in real-time, the paper focuses on the new approach towards bringing out the effect of vibration on the dynamics of the FRS.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"106 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":"121659141","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}

{"title":"A Process Mining approach to analyze learning behavior in the flipped classroom","authors":"G. Thiyagarajan, P. S","doi":"10.1109/C2I454156.2021.9689228","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689228","url":null,"abstract":"Flipped classroom as an instructional strategy promotes dynamic learning to increase student's engagement and learning outcomes. Video-based lectures and materials are to be referred before the actual class as a pre-class activity in the flipped classroom setting and completion status are evaluated through learner's feedback. In this paper, pre-class activities are evaluated by applying process mining on the student's clickstream data generated through learning platform “Delta” designed for current work. The students are categorized as credible and mediocre performers based on their pre-assessment score and process models are generated by applying fuzzy miner and heuristic miner based on their engagement with the tool. We further analyzed and registered the absolute & relative occurrences of events, identified a contrasting pattern in student behavior through trend analysis and process comparator. The various process models from learner's data were presented using several visualizations.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"109 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":"131509694","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}

{"title":"Challenges in Design and Development of Electron Beam Weld Predictor Software","authors":"Poornima S, A. M., P. B, Ramprasad B, Ragupathy V D","doi":"10.1109/C2I454156.2021.9689446","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689446","url":null,"abstract":"Electron beam welding (EBW) is high power density welding process used predominantly for fabrication of launch vehicles and spacecrafts made of aerospace grade materials. EBW process at LPSC-ISRO is a space qualified process and the cost and time involved in imbibing quality into the EBW process amounts to 65% of the total fabrication costs and 80 % of the total welding time. The weld quality is ensured by evaluating a pre-weld WTS (Weld Test Specimen), each time a weld is done.. The LPSC-ISRO-Bangalore, houses many variants of EBW machines and in order to tap, utilise the huge potential of empirical data available in-house, this software has been designed and developed to predict the EBW machine parameters for a given material and geometry details. The software developed is based on machine learning of the empirical data. The accuracy of prediction results have been validated using EBW experiments and presently the first version of the software is available for deployment in ISRO and continual improvement of prediction accuracies is ensured by enhancing the database with additional reference points. The software aids in reduction of total manufacturing cost and lead time as the WTS (Weld Test Specimen) requirements have been substantially reduced with aid of this software. Unlike software development for electrical and electronic systems, the challenges in design and development of software for mechanical systems (EBW machines in this design) commences with limited data availability in assessable form; data collection and assimilation are humongous as it is based on almost 20 nos of parameters related to EBW machine and weld quality and not all parameters are in measurable or assessable format. Despite this limitation, the software has been developed in two phases including feature extraction studies in phase2 thus enhancing the prediction accuracies achieved in phase1(a primitive and draft software design). Also the other challenges are input and output parameters for the software are in analog format & knowledge based (interpretation needs skill); the empirical data is predominantly dependent on physics of EBW such as geometry, material properties and software accuracy to be validated by real-time physical EBW experiments. The challenges have been overcome by ensuring precision in empirical data collection, assimilation and cleansing and also feature extraction studies indicated the relevance in selection of input parameters. The selection of machine learning algorithm is also based on the applicability of the selected algorithm to address all the above challenges endured. Also the experimental results validated the prediction accuracies achieved via the Phase2 developed software. Despite the challenges endured, the indigenously designed, developed and validated EBW predictor software can predict EBW machine parameters (beam current and focus current) without any need to weld a WTS and hence, the software developed aids in reduction of the tot","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"16 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120889220","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}

{"title":"Non-Orthogonal Multiple Access with Alamouti Technique for Future Wireless Communication","authors":"D. Kokane, Geeta Nijhawan, Shruti Vashist","doi":"10.1109/C2I454156.2021.9689381","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689381","url":null,"abstract":"Non-orthogonal Multiple Access Scheme (NOMA) is an important candidate in the field of mobile access scheme for advanced wireless networks. In order to improve the NOMA performance the researchers are working on various domains like users pairing, power allocation techniques, decoding techniques etc. we are focusing on various interference cancellation techniques i.e. decoding methods to improve the Bit Error rate (BER) of NOMA. In this article we propose a new hybrid model in which Non-orthogonal Multiple Access Scheme (NOMA) is combined with space time block coding (Alamouti scheme). Our focus is on two transmitter and one receiver (2X1) and two transmitter and two receiver (2X2) Alamouti STBC MIMO NOMA systems. The performance of this hybrid model in multiple input and multiple output technology is investigated in terms of Bit Error Rate (BER) over Rayleigh fading environment. The simulation results of proposed model were compared with maximum-ratio combiner (MRC), Zero Forcing (ZF), Minimum Mean Square error (MMSE) scheme. Further the proposed model is extended with Successive Interference Cancellation (SIC) scheme and results are compared with ZF-SIC and MMSE-SIC. The BER achieved in proposed method is 10–5 where as in other SIC it is up 10∓3. This validates that the proposed Hybrid scheme degraded BER compared to OMA and improve the performance of NOMA compare to above mentioned decoding methods.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"30 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":"134099637","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}

{"title":"Comparison of Efficiency and Failure Rate of SEPIC, Cuk and Zeta Converter for Application to Stand Alone PV System","authors":"M. B. Rao, P. Pinto, M. Shet","doi":"10.1109/C2I454156.2021.9689428","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689428","url":null,"abstract":"DC-DC converters are widely used in place of voltage divider circuits to regulate voltage from renewable energy sources. In order to select a converter for a particular application computation of Mean Time Between Failure and efficiency of the converter becomes important. In this paper three Non- Isolated DC-DC converters are considered for analysis. Converter efficiency and Mean Time Between Failure for three converters namely Cuk, SEPIC and Zeta are compared. Also, comparative analysis for Zeta converter using N channel and P channel MOSFET is performed. The simulation is performed in MATLAB/SIMULINK. The simulation results are obtained for power from the PV panel, power from the converter, power loss in MOSFET and power loss in the converter. Also, plot of efficiency and MTBF of the converters are shown and tabulated.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"62 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":"114697168","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}

{"title":"Slip-Acceleration Based AI Approach for Islanding Detection","authors":"V. Gayathry, M. Sujith","doi":"10.1109/C2I454156.2021.9689422","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689422","url":null,"abstract":"The development of Phasor Measurement Units (PMUs) in power system improves the possibilities of analyzing and monitoring the system dynamics. PMU data with its high sampling rate contains crucial information about the state of power system. Hence effective PMU data analysis can provide solution for most of the power system problems. This work proposes a data analysis method on PMU data. This combines the simplicity of passive islanding detection techniques and the robustness of artificial intelligence methods. PMU measurements are analyzed and classified to detect power system islanding. Artificial Neural Networks (ANN) and Support Vector Machines (SVM) algorithms are used to classify islanding and non-islanding events. Both the models classified the events correctly with good accuracy. The test results also show a better performance for SVM classifier compared to ANN classifier.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"19 4 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":"132902873","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}

{"title":"Securing Database Backups Using Blockchain and Peer-to-Peer Network","authors":"Aashay Maheshwarkar, Animesh Kumar, Manas Gupta","doi":"10.1109/C2I454156.2021.9689443","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689443","url":null,"abstract":"Databases are one of the critical services provided by a cloud environment. Database downtime can have a devastating impact on any running service. Database backups are generally made robust with high availability by replicating them in a new server. However, storing a database backup on a new server is not cost-effective. At the same time, storing the backup in the same server does not ensure high availability. In this paper, we propose creating a secure database backup architecture using a transaction blockchain and peer-to-peer network to record the history of the transactions. Our architecture makes database backups highly available with a 4 percent decrease in throughput.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"23 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":"124960634","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}

{"title":"Deep Learning Approach for Diagnosis of Pneumonia","authors":"Ruchika Arora, I. Saini, Neetu Sood","doi":"10.1109/C2I454156.2021.9689384","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689384","url":null,"abstract":"In the pandemic of Coronavirus disease 2019 (Covid-19), lung diseases are the leading cause of death worldwide. Among these diseases, pneumonia is the largest infectious disease caused by bacteria, viruses (including coronavirus) that collapses alveoli present in the lungs. Most effective and economic modality for diagnosing it is Chest X-Ray (CXR) imaging. In this paper we have proposed a scratch Convolutional Neural Network (CNN) 13 layers model for detecting pneumonia from CXR images. We have evaluated proposed CNN-13 model on pneumonia and normal CXR image dataset which is freely available on website of Kaggle. After simulation, the proposed CNN-13 model attained results with training and testing accuracy of 98.51% and 96.7% respectively. Metrics log loss and Area Under the Curve (AUC) scored 0.0371 and 0.9984 on training set and 0.1285 and 0.9819 on testing set respectively.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"6 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":"124343915","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}

{"title":"A Modified Antipodal Vivaldi Antenna with Slot and Feed-line Cuts for Ultra-wideband Applications","authors":"Innocent Kadaleka Phiri, K. Sarmah","doi":"10.1109/C2I454156.2021.9689388","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689388","url":null,"abstract":"A geometrically modified Antipodal Vivaldi Antenna (AVA) for applicable in Ultra-wideband (UWB) frequency is proposed in this paper. A conventional AVA is designed on a low-cost dielectric FR-4 substrate of size ${41,times,35,times,1.6,mm^{3}}$. Cuts are added on the radiating slots and feedline to improve bandwidth and gain. Design and optimization are done using a 3D electromagnetic simulator, High Frequency Structure Simulator (HFSS). The designed antenna operates in frequencies between 3.3 - 13.4 GHz (S11 < −10 dB) making it suitable for all Ultra-wideband applications. Maximum gain is 9 dB at 10.5 GHz.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"75 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":"116092426","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}

{"title":"Circular Arcs Loaded on Monopole Antenna for 5G Emerging and Ka - band Applications","authors":"D. Manaswi, R. V. Prasad, M. B. Naiak, C. Krishna, D. Prasad","doi":"10.1109/C2I454156.2021.9689400","DOIUrl":"https://doi.org/10.1109/C2I454156.2021.9689400","url":null,"abstract":"This paper presents Circular Arcs Loaded on Monopole Antenna for 5G Emerging and Ka - band communications. The optimized dimensions of the offered antenna are 9mm x 10mm x 1.575mm on Rogers RT/Duroid 5880 substrate. The proposed antenna comprises of a semicircular arc etched on right and left sides of the radiating element to strengthen the impedance bandwidth (IBW). The frequency range of the proposed antenna is of 27.20 to 36.92GHz and the impedance bandwidth is 9.72GHz and the reflection coefficient is |Sn| is less than -10dB. The peak simulated gain of the antenna is 6.25dBi and the peak radiation efficiency of the proposed design is 92.08%. As the proposed antenna has a wide bandwidth (BW) and the high radiation efficiency (η), the antenna covers 5G & Ka- band applications. Ka -band is mainly used for the communication with satellite, the frequency is suitable for the uplink frequency for satellite communications and the frequency also has good performance for the 5G applications. The proposed antenna is depicted and simulated using the HFSS software.","PeriodicalId":190895,"journal":{"name":"2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"158 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":"127744868","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}