Pub Date : 2019-03-23DOI: 10.1109/ICCI46240.2019.9404405
Reshma Sajeevan, K. Thomas
This paper proposes a simple and cost efficient spv fed bldc motor fed drive. A zeta converter is used to extract the maximum power from the spv. Many new dc-dc coversion topologies are created every year. Zeta converter is such a new topology which provide a regulated output voltage from an varying input voltage. Pi controller is used to control the zeta converter for obtaining desired output voltage. Focv type of mppt is used for extracting maximum power from the spv. Vsi is used to convert the dc voltage obtained from zeta converter and feed the bldc motor. The speed is controlled through a variable dc connect voltage of VSI. The proposed control system wipes out use of current sensors and adjusts a crucial recurrence exchanging of the voltage source inverter (VSI), in this manner staying away from the power misfortunes due to high recurrence exchanging. No extra control or hardware is utilized for speed control of the bldc engine. The simulation of the proposed system is exhibited through results using matlab/simulink in the paper.
{"title":"PID Controlled Zeta Converter for PV based DC Supply","authors":"Reshma Sajeevan, K. Thomas","doi":"10.1109/ICCI46240.2019.9404405","DOIUrl":"https://doi.org/10.1109/ICCI46240.2019.9404405","url":null,"abstract":"This paper proposes a simple and cost efficient spv fed bldc motor fed drive. A zeta converter is used to extract the maximum power from the spv. Many new dc-dc coversion topologies are created every year. Zeta converter is such a new topology which provide a regulated output voltage from an varying input voltage. Pi controller is used to control the zeta converter for obtaining desired output voltage. Focv type of mppt is used for extracting maximum power from the spv. Vsi is used to convert the dc voltage obtained from zeta converter and feed the bldc motor. The speed is controlled through a variable dc connect voltage of VSI. The proposed control system wipes out use of current sensors and adjusts a crucial recurrence exchanging of the voltage source inverter (VSI), in this manner staying away from the power misfortunes due to high recurrence exchanging. No extra control or hardware is utilized for speed control of the bldc engine. The simulation of the proposed system is exhibited through results using matlab/simulink in the paper.","PeriodicalId":178834,"journal":{"name":"2019 IEEE International Conference on Innovations in Communication, Computing and Instrumentation (ICCI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128637439","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}
Pub Date : 2019-03-23DOI: 10.1109/ICCI46240.2019.9404432
C. Reshma, R. Rajasree
People are exchange information and emotions through speech. Emotion recognition from speech is used in many applications such as education, customer service, speech synthesis, medical analysis and forensics etc. The main aim of speech emotion recognition system is to predict the emotions correctly. Many frameworks have been proposed to recognize the emotional content of a speech. The current available speech emotion recognition methods are analyzed in this survey. The evaluating parameters are feature extraction and classification methods. Also evaluates the limitations and accuracy of available methods in this survey.
{"title":"A survey on Speech Emotion Recognition","authors":"C. Reshma, R. Rajasree","doi":"10.1109/ICCI46240.2019.9404432","DOIUrl":"https://doi.org/10.1109/ICCI46240.2019.9404432","url":null,"abstract":"People are exchange information and emotions through speech. Emotion recognition from speech is used in many applications such as education, customer service, speech synthesis, medical analysis and forensics etc. The main aim of speech emotion recognition system is to predict the emotions correctly. Many frameworks have been proposed to recognize the emotional content of a speech. The current available speech emotion recognition methods are analyzed in this survey. The evaluating parameters are feature extraction and classification methods. Also evaluates the limitations and accuracy of available methods in this survey.","PeriodicalId":178834,"journal":{"name":"2019 IEEE International Conference on Innovations in Communication, Computing and Instrumentation (ICCI)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128058729","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}
Pub Date : 2019-03-23DOI: 10.1109/ICCI46240.2019.9404521
B. Muthusenthil, T. S. Ramchandran, R. Priyadharshini
The main challenging task for the virtually and physically challenged students is to take their exams. Volunteers are required for writing their exams on behalf of these students. These volunteers must be confidential and should not involve themselves in any kind of malpractices. These students are in need of a technology that makes their task easier. We have developed an Android application that conducts the exam, evaluates it and displays the result. This application reads the given questions from the soft copy to the students, their answer in the form of speech is captured and converted into text. This text is evaluated and marks are calculated. In this paper, we have reduced the workload of the virtually and physically challenged students with the help of the Android application.
{"title":"Speech Based Examination Android App","authors":"B. Muthusenthil, T. S. Ramchandran, R. Priyadharshini","doi":"10.1109/ICCI46240.2019.9404521","DOIUrl":"https://doi.org/10.1109/ICCI46240.2019.9404521","url":null,"abstract":"The main challenging task for the virtually and physically challenged students is to take their exams. Volunteers are required for writing their exams on behalf of these students. These volunteers must be confidential and should not involve themselves in any kind of malpractices. These students are in need of a technology that makes their task easier. We have developed an Android application that conducts the exam, evaluates it and displays the result. This application reads the given questions from the soft copy to the students, their answer in the form of speech is captured and converted into text. This text is evaluated and marks are calculated. In this paper, we have reduced the workload of the virtually and physically challenged students with the help of the Android application.","PeriodicalId":178834,"journal":{"name":"2019 IEEE International Conference on Innovations in Communication, Computing and Instrumentation (ICCI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131203197","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}
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