2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)最新文献

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DSP TMS320F28377S based Speed Control of DC Motor 基于DSP TMS320F28377S的直流电机调速控制
A. Panda, Shantanu Kahare, S. Gawre
{"title":"DSP TMS320F28377S based Speed Control of DC Motor","authors":"A. Panda, Shantanu Kahare, S. Gawre","doi":"10.1109/SCEECS48394.2020.133","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.133","url":null,"abstract":"The aim of this paper is to control the speed of DC Motor. This paper proposes the use of the DSP controller for speed control. TMS320F28377S DSP based control of a parallel Buck DC-DC Converter is developed and presented in this work to maintain an output voltage under variation in the supply voltage. The closed-loop control method is implemented in the present work. TMS320F28377S DSP based fuzzy logic controller used to perform the speed control of DC motor. DSP provides an easy implementation of complex control with greater accuracy.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129125825","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: 4
Design of On-Board Battery Charger using Interleaved Bridgeless Type PFC and Phase Shifted Full Bridge Converter 基于交错无桥PFC和移相全桥变换器的车载电池充电器设计
Mohd Shahnawaz Khan, Shelas Sathyan, Harinaik Sugali, S. S. Chandra Bommagani
{"title":"Design of On-Board Battery Charger using Interleaved Bridgeless Type PFC and Phase Shifted Full Bridge Converter","authors":"Mohd Shahnawaz Khan, Shelas Sathyan, Harinaik Sugali, S. S. Chandra Bommagani","doi":"10.1109/SCEECS48394.2020.65","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.65","url":null,"abstract":"With increase of DC micro grids and electrical vehicles (EV), battery charging application has gained a lot of prominence. Many of these systems are fed by utility. The AC/DC conversion is done by classical diode bridge rectification which causes low input power factor and adversely affects the utility supply. Thus input power factor correction is one of the major concerns. Also, switched mode power converter incurs high switching losses at high frequencies of operation. Reduction of switching frequency is not a solution to reduce the losses as higher frequencies yield in many advantages such as reduction in converter size. This paper describes systematic design of 1.5 kW high power factor bridgeless interleaved boost converter fed on-board battery charger for EVs. Phase shifted full bridge converter having zero voltage switching (ZVS) up to 50% of the rated load is integrated with the high power factor AC/DC stage. The detailed design methodology of PFC controller, and phase shifted full bridgeless converter for EV is given in this paper. To validate the design of power stage and controller, PSIM simulation has been carried out and results are provided. Results show that power factor is greater than 0.99 and THD is less than 2 % at full load which is under the IEC standard.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129153385","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
A Voltage Algorithm using Discrete Wavelet Transform and Hilbert Transform for Detection and Classification of Power System Faults in the Presence of Solar Energy 基于离散小波变换和希尔伯特变换的电力系统故障检测与分类算法
Mohd Zishan Khoker, Om Prakash Mahela, Gulhasan Ahmad
{"title":"A Voltage Algorithm using Discrete Wavelet Transform and Hilbert Transform for Detection and Classification of Power System Faults in the Presence of Solar Energy","authors":"Mohd Zishan Khoker, Om Prakash Mahela, Gulhasan Ahmad","doi":"10.1109/SCEECS48394.2020.7","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.7","url":null,"abstract":"This presents a voltage based algorithm using hybrid features of voltage extracted using discrete wavelet transform (DWT) and Hilbert transform (HT) for identification and classification of faults on transmission line in the presence of solar energy. The proposed algorithm presents the fault indexes based on voltage signal which is used for investigations of faults. The voltage signal is processed using DWT at a sampling frequency (SF) of 3.907 kHz for obtaining W-index using detailed coefficient at first decomposition level. This voltage signal is also processed using HT at a SF of 3.907 kHz for obtaining proposed H-index from absolute magnitude of Hilbert transform output. Proposed fault index is obtained by multiplying the W-index and H-index. A threshold value of proposed voltage based fault index (FI) is selected to discriminate faulty phase from healthy one. Investigated faults in the presence of solar energy include line to ground (LG), double line (LL), double line with ground (LLG) and three phase with ground (LLLG).","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129632481","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
IoT Based Solar Panel Analysis using Thermal Imaging 基于物联网的太阳能电池板热成像分析
Udit Kumar Phoolwani, Tanveer Sharma, Ashutosh Kumar Singh, S. Gawre
{"title":"IoT Based Solar Panel Analysis using Thermal Imaging","authors":"Udit Kumar Phoolwani, Tanveer Sharma, Ashutosh Kumar Singh, S. Gawre","doi":"10.1109/SCEECS48394.2020.114","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.114","url":null,"abstract":"Solar energy is gaining strong momentum as the future clean and renewable source among other sources of energy. Solar power generation has attracted much attention but there are not enough specialists for condition monitoring of the solar panel. As solar panels are exposed to outside conditions there are chances of reduction in efficiency due to dust, partial shading, cracks, delamination etc. This paper provides the analysis at normal and some faulty condition using equipment like PV analyser, Solar Power Meter and thermal camera to compare the results. The PV graphs, efficiency, fill factor and power are obtained at normal, partial shading and dust accumulated conditions using PV analyser. The thermal images and PV analyser results are compared under no-load, on load, partial shading and dust accumulation conditions. The obtained data is periodically uploaded to the cloud using NodeMcu, the uploaded data can be further used for monitoring the installed plant.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126731357","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: 9
Identifying Depression in a Person Using Speech Signals by Extracting Energy and Statistical Features 通过提取能量和统计特征的语音信号来识别人的抑郁症
Dimple Muskan Shukla, Kushal Sharma, S. Gupta
{"title":"Identifying Depression in a Person Using Speech Signals by Extracting Energy and Statistical Features","authors":"Dimple Muskan Shukla, Kushal Sharma, S. Gupta","doi":"10.1109/SCEECS48394.2020.60","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.60","url":null,"abstract":"In present scenario, increasing state of anxieties, mental issues have become a common problem. A person having this issue cannot focus on regular tasks and it affects the mental state and leads to many issues such as suicide, anxiety attacks, personality disorders, eating disorders, and trauma related disorders. But if a person gets to know about it then it can be solved or reduced. This paper proposes a method to identify depression in subject based on its speech. This is done using feed forward neural network whic is a deep supervised learning method used to differentiate between things and finding a pattern based on the data like speech, images, numbers etc. and is used in this paper to classify whether a person is depressed or not by extracting energy and statistical features out of speech signals. This research can be helpful in easy diagnosis of depression so that victim can find cure and it can prevent suicides, mental trauma and other severe disorders due to prolonged suffering.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390593","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: 2
Smart Helmet Wiper 智能头盔雨刷器
Sarika Kanetkar, Ankit Rathore, Krati Maheshwari, Prasanna Dubey, Ankit Saxena
{"title":"Smart Helmet Wiper","authors":"Sarika Kanetkar, Ankit Rathore, Krati Maheshwari, Prasanna Dubey, Ankit Saxena","doi":"10.1109/SCEECS48394.2020.40","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.40","url":null,"abstract":"An improvised helmet design which is integrated with a circuitry for automatic rain sensing mini wiper located on the eye shield. The presence of a smart helmet wiper will make two wheeler riding easier and safer in rainy season since the driver won’t be bothered by the continuous rain drops disturbing his/her vision. The wiper will automatically start as soon as it detects the presence of rain drops on the rain sensor mounted on the top of the helmet. In addition to this the wiper will be able to adjust its speed of wiping according to the intensity of rainfall automatically. In some situations manual turn off of the wiper is also possible by a switch which may be located inside the ear shield. Commands to the wiper will be given with the help of Arduino Nano and power will supplied by rechargeable Li Batteries.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129729220","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
Classification and Summarization for Informative Tweets 信息性推文的分类和摘要
S. Roy, Sumit Mishra, Rakesh Matam
{"title":"Classification and Summarization for Informative Tweets","authors":"S. Roy, Sumit Mishra, Rakesh Matam","doi":"10.1109/SCEECS48394.2020.128","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.128","url":null,"abstract":"Microblogging websites like twitter, facebook, etc. has become a substantive platform for the people to publicize their feelings, requirements, etc. It allows users to post short messages for their online audience. These messages are the fusion of blogging and minute messaging, consisting of images, videos, or voice notes. We have primarily focused on information provided by microblogging sites for achieving real-time informational data. Microblogging websites are widely used around the globe by people for portraying what has been happening around their normal living. So, data through these sites eventually helps us getting non-manipulated data directly from the user. In this paper, a disaster dataset (Fani Cyclone dataset) is considered, which consists of the tweets related to a Cyclone named \"Fani\". The tweets are pre-processed and then classified into two categories – informative and non-informative. We have been able to achieve a classification accuracy of 74:268% when pre-processed data is being considered. As we are dealing with disaster dataset, so in the end, we have summarized the informative tweets for the concerned authorities, which would help them to have an overview of the data.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122350080","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: 10
Analysis of Underwater Wireless Communication using Visible Light LEDs 可见光led水下无线通信分析
Anand Kumar Chaudhary, Sandeep Shukla, S. Singh
{"title":"Analysis of Underwater Wireless Communication using Visible Light LEDs","authors":"Anand Kumar Chaudhary, Sandeep Shukla, S. Singh","doi":"10.1109/SCEECS48394.2020.11","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.11","url":null,"abstract":"Underwater communication (UWC) with multi-hop techniques utilizes sensors to convey information to the sink/sonobuoy, which is situated on the top surface of the sea. The down to earth motivation to arrive at the sea surface is, it has higher proliferation speed. The electromagnetic and optical correspondence has high recurrence in submerged condition, along these lines it makes higher constriction coefficient with its particular separation. To conquer this confinement, the acoustic correspondence is joined in submerged condition. Acoustic correspondence has insignificant weakening and vitality utilization in submerged condition. Versatility of sensor hubs is expected to sea flows, which innately causes correspondence void. Because of this, sensor hubs can't speak with other sensor hubs. The correspondence void because of versatility issue prompts finding a legitimate recuperation hub. In this paper the studied of OFDM-MIMO system using visible light LEDs technology is presented. Receiver power, channel gain, output signal and signal to noise ratio is measure with variation of the surface of the light.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127963274","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: 2
A Review on Arrhythmia Classification Using ECG Signals 心电信号心律失常分类研究进展
Mohebbanaaz, Y. Padma Sai, L. R. Rajani Kumari
{"title":"A Review on Arrhythmia Classification Using ECG Signals","authors":"Mohebbanaaz, Y. Padma Sai, L. R. Rajani Kumari","doi":"10.1109/SCEECS48394.2020.9","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.9","url":null,"abstract":"Arrhythmia Classification plays a major role while diagnosing heart diseases. Any change in the regular sequence of electric impulses is called as arrhythmia. Identifying arrhythmia as early as possible helps the patient in choosing appropriate treatment. Classification of ECG arrhythmia with high accuracy is a challenging problem. Arrhythmia classification requires preprocessing ECG Signal, extraction of features, and optimization of the features and classification of arrhythmia. This paper presents survey on issues concerned in ECG denoising, feature extraction, optimization and classification. Furthermore, methods used to analyze the performance are also discussed. Limitations and drawbacks involved in ECG denoising, Feature Extraction and Classification are discussed concluding remarks and future scope.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116234510","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: 21
Energy Management Strategy for Cost Minimization under Time of Use Pricing for Residential Application 住宅用电时间定价下成本最小化的能源管理策略
S. Kumari, Himanshu Karn, L. Varshney, Lokesh Garg, N. Kumari
{"title":"Energy Management Strategy for Cost Minimization under Time of Use Pricing for Residential Application","authors":"S. Kumari, Himanshu Karn, L. Varshney, Lokesh Garg, N. Kumari","doi":"10.1109/SCEECS48394.2020.198","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.198","url":null,"abstract":"This paper presents an energy management strategy for residential applications that utilize energy from the grid as well as energy generated from PV panels. With the implementation of this strategy, the consumers can save money on the electricity bill to be paid to the utility under Time of Use pricing. With the implementation of Time of Use pricing by the utilities, charges of energy consumption will be different at a different time of the day and the consumers will be charged according to the tariff set for a particular time when the energy is consumed. The system model considered in this paper has two power sources, PV and grid supply. The loads connected in the system are scheduled in such a way that it is supplied by the PV as much as possible instead of the supply from the grid so that the charges to be paid to the utility can be minimized. In this paper, the energy from PV, grid, and energy from discharging and charging of the battery is considered.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129649042","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: 2
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