Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India最新文献
{"title":"Philippine Youth's Perceptions, Knowledge and Comprehension of Corruption in the Country","authors":"Raul A. Aquino","doi":"10.4108/EAI.7-6-2021.2308581","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308581","url":null,"abstract":"The moral education system can enable the younger generation to become responsible moral citizens in the future. An informed citizen who understands the moral importance in life will greatly help strengthen the democratic values of their country and reduce unethical behavior and corruption. Hence, this study determines the present perceptions, knowledge, and understanding of the Filipino youth on corruption in the country. This study utilized qualitative research approach to gather the primary data through questionnaire survey among the Filipino youth from sector of academic and police. The survey was participated by the Campus Integrity Crusades, Pamantasan ng Valenzuela, Office of the Ombudsman, Lyceum of the Philippines University, Manila, City of Malabon University, University of Caloocan, and Philippine National Police. The obtained qualitative data were analyzed through the content and textual analysis. The results obtained indicate that the respondents emphasized that corruption violates good behavior and has negative effects on society and country. The pervasiveness and extensiveness of corruption problem has led most people to believe that this is a norm in the country, with no response or resistance. The survey results also highlight that the current corruption situation in the Philippines is worrying..","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133647666","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":"Transmission Power Line Fault Detection using Convolutional Neural Networks","authors":"Kalanidhi K, B. D, Vinod Kumar D","doi":"10.4108/EAI.7-6-2021.2308661","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308661","url":null,"abstract":": In an electrical power system, most of the faults occurs in overhead transmission lines because of most of the conductor exposure to the atmosphere. Therefore, Insulated Overhead Conductors (IOCs) are widely used. To overcome this, a robust real-time PD fault analysis system is required. To analyze and classify the raw voltage signal for detection of PD's in IOC's a Convolutional Neural Network (CNN) based fault classification algorithm is proposed in this paper. The CNN is implemented using popular pre-trained CNN architectures such as AlexNet, VGG16 & ResNet are applied to the voltage signals in the dataset. From the values of Precision, Recall & F1-Score it is observed that ResNet architecture provides the best prediction and classification results.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134417050","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 Comprehensive Review on FPGA based PWM techniques for DC-DC converters","authors":"R. Vimala, M. Marshell, D. Kumar, Sujesh P. Lal","doi":"10.4108/EAI.7-6-2021.2308767","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308767","url":null,"abstract":"Pulse Width Modulation (PWM) modules are immensely significant in the design of real power converters. Mainly, the variable duty cycle pulses generated from the PWM module vary the average dc voltages across the load in the power converter circuits. All the regulator and dc/dc converter ICs include the clock, MOSFET switch and the PWM control module apart from the external components such as resistor, inductor and capacitor, diodes, and the transformers. In this review article, the five different PWM generation methods include using a free-running counter, up/down counter, hardware accumulator, two de-bounced push button switches and swapping bits method. The PWM wave generation modules are implemented on an Altera FPGA device using Quartus II synthesis software tool. The performance metrics such as the logic elements (LEs) utility, the clock speed, and the power dissipation are analyzed in detail. Also, Matlab/Simulink and the DSCH/Microwind tools are used to generate the PWM wave.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122950051","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}
K. M. Azaraffali, Dr. T. Krishnakumar, Dr.M. Sriram
{"title":"An adaptive approach for Human Emotions Recognition System for Neural Networks using Hidden Markov Model and Self Organizing Maps algorithms","authors":"K. M. Azaraffali, Dr. T. Krishnakumar, Dr.M. Sriram","doi":"10.4108/EAI.7-6-2021.2308680","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308680","url":null,"abstract":". In machine learning, recognition of human emotions by a machine is an important research area. It is informal to reason of emotions as a luxury, approximately that is needless for basic intelligent operative, and something that is problematic to encode in a computer program. Then giving expressivecapabilities to machine has been a least priority up till now. But recent studies suggest that emotions play surprisingly dangerous role in balanced and brainybehavior. Too slightfeeling can damagebalancedthoughtful and behaviour. The main impartial of this paper is the identification of emotional states of human beings.Inthis researchthe algorithms to be used are Hidden Markov Model and Self Organizing Maps..","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017978","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":"Novel Control Method on Unified Power Quality Conditioner (UPQC) for Harmonic Distribution Using PSO-Fuzzy Logic","authors":"Y. Rao, B. Chandra, Dr.N.C. Kotaiah","doi":"10.4108/EAI.7-6-2021.2308773","DOIUrl":"https://doi.org/10.4108/EAI.7-6-2021.2308773","url":null,"abstract":"In this paper novel control method on unified power quality improvement for harmonic distribution using PSO-Fuzzy logic is implemented. There are various types of compensators such as parallel power quality compensator and series power quality compensatorwhichimproves the power quality. In this proposed work, control algorithm is developed on unified power quality conditioner. The entire algorithm is divided into three stages, in stage -1 all the parameters will be initialized and in stage-2 process computing the upper and lower boundary’s of X and Y is done. At last in stage-3 the process of commuting value of z is done and output is obtained. The simulation results show that fuzzy controller based particle swarm optimization will improve the accuracy, effectiveness and superiority.","PeriodicalId":422301,"journal":{"name":"Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068549","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}