Tirth Patel, Abhishek Jain, Dharak Gameti, Umang Patel, R. Parekh
{"title":"Remote Structural Health Monitoring System for Bridges","authors":"Tirth Patel, Abhishek Jain, Dharak Gameti, Umang Patel, R. Parekh","doi":"10.1109/SCEECS48394.2020.125","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.125","url":null,"abstract":"This paper presents a structural health monitoring system for bridges. The system measures the vibration in a bridge using accelerometer. Arduino UNO reads the frequency of the vibration and sends it to a receiver via a Bluetooth module. At the receiver end, required calculations are done in MATLAB to identify the location of the damage and to determine its severity. This knowledge of damage can help in determining when and where the bridge needs to be repaired.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"32 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":"121233434","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":"Spatio-Spectral Image Fusion Using Local Embeddings","authors":"Priyanka Saxena, Akshat Jain","doi":"10.1109/SCEECS48394.2020.215","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.215","url":null,"abstract":"Image fusion is extensively used in remote sensing to combine multiple images into a more informative single image, which is more suitable for human and machine perception. The purpose of image fusion algorithms is to achieve a single image with high spatial resolution and high spectral resolution. The major challenges faced by existing algorithms are of output image quality in terms of colour distortion and blurring. This paper models the spatio-spectral image fusion as a problem of non-linear dimensionality reduction. The aim is to define each point of fused image as a linear combination of its neighbours in multi spectral image and the corresponding pixel values from down scaled panchromatic image. The assumption here is that the spectral behaviour of fused image is similar to that of multispectral image. The performance of the model is compared with existing state of the art methods for same-sensor dataset.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"20 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":"116509727","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":"Master-Slave Configuration for Dual-Axis Solar Tracker: Design and Implementation","authors":"Chahak Sharma, Vadthya Jagan, Sonia Srinivas, Anem Y.V.B.N.Sujith Naidu","doi":"10.1109/SCEECS48394.2020.102","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.102","url":null,"abstract":"This paper presents the design, implementation, and analysis of Dual Axis Solar Tracker (DAST) with application of Master-Slave (MS) configuration. The implementation of the Dual Axis Tracking System (DAST) is to increase the efficiency of the PV panels. By means of this dual-axis motion of the PV panel, the panel tends to capture maximum possible solar irradiation. In this paper, the application of the Master-Slave (MS) configuration is introduced. With the application of this Master-Slave (MS) configuration the number of components required for dual-axis motion of multiple PV panels in a solar farm are reduced. This paper also summarizes the performance analysis of DAST equipped PV panel with respect to a fixed PV panel.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"358 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":"115946283","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}
Roshan Kumar Pathak, S. Agarwal, Om Prakash Mahela, Akhil Ranjan Garg
{"title":"Estimation of Faults in Grid Connected Solar Photovoltaic Farm Using Voltage Based Median and Summing Values Features of Stockwell Transform Based Algorithm","authors":"Roshan Kumar Pathak, S. Agarwal, Om Prakash Mahela, Akhil Ranjan Garg","doi":"10.1109/SCEECS48394.2020.12","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.12","url":null,"abstract":"Research work under taken in this paper is concentrated to design an algorithm using Stockwell Transform for estimation of faults in grid integrated solar PV farm. An algorithm based on Features such as median and summing absolute values of Stockwell Transform using the voltage signal has been presented in this manuscript. Proposed algorithm can be utilized in protection schemes of the transmission and distribution feeders in the grid integrated solar PV farms. Algorithm has been tested for the estimation of the faults such as phase to ground, phase to phase, two phases to ground and three phases to ground fault on the AC side of the grid. Algorithm is also tested for estimation of faults on the DC bus of the solar PV farms. Study is carried out using MATLAB software.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"9 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":"121259947","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}
Pallav Borisagar, Smeet Jani, Yash Agrawal, R. Parekh
{"title":"An Efficient and Compact Review of Face Recognition Techniques","authors":"Pallav Borisagar, Smeet Jani, Yash Agrawal, R. Parekh","doi":"10.1109/sceecs48394.2020.143","DOIUrl":"https://doi.org/10.1109/sceecs48394.2020.143","url":null,"abstract":"Face detection deals with the specified object(face) within the given database. Several algorithms have been de-fined by different researchers for face recognition. Research, technology advancement and applications incorporating face recognition over the last few decades have grown enormously. It is growing as one of the profound and exciting research fields. Some of the practical and efficient algorithms for face recognition are Principal Component Analysis (PCA), Artificial Neural Network (ANN), Support Vector Machine (SVM), Feature based approach, Gabor wavelet, GPU based approach, 3D model-based face recognition, Linear Discriminant Analysis (LDA) and Using Facial Symmetry. Face recognition is a multidimensional field. Different algorithms give different performances in different situations like illumination, noise, pose and disgiuse change. All the aforementioned techniques are described briefly in this paper so as to give the general idea. The main focus of the paper is to bring all the different techniques at the same place and make it easy to review them.","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":"128681192","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":"Performance Analysis of New SCADA Interface Developed in C# Environment","authors":"S. Phuyal, Rabindra Bista, J. Izykowski, D. Bista","doi":"10.1109/SCEECS48394.2020.209","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.209","url":null,"abstract":"The industrial process is monitored and controlled by the Supervisory Control and Data Acquisition System that are installed throughout the plant. Currently, the commercially available SCADA systems are not in the approach of the small industries due to the higher installation cost and are not benefited enough by this technology. This research investigates the performance of the SCADA software developed in C# environment and the comparison with commercial SCADA software in the aspects of cost effectiveness, performance and easiness in customization is presented.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"71 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":"127588242","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":"Maximization of The Output Power from Photovoltaic Array Under Partial Shading Conditions","authors":"Karan S Faldu, P. Kulkarni","doi":"10.1109/SCEECS48394.2020.136","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.136","url":null,"abstract":"In accordance with the Partial Shading Conditions (PSCs), the Photovoltaic(PV) array receives non-uniform insolation. This results a weighty drop in power output and creates the multiple maximum points in P-V curve. To solve this problem, PV modules in array are interconnected in various configurations. These configurations increase the output power of PV array by provide an alternative path to the direction of current. In this paper a Symmetrical Array (SA) puzzle pattern configuration is presented to increase the array output power under PSC. The main objective of this work is to compare the performance of SA configuration with the Bridge-Link (BL), Series-Parallel (SP), Total-Cross-Tied (TCT) and Honey-Comb (HC) configurations under various shading conditions. For comparison purpose the maximum power output, power loss due to mismatch and fill factor constraints are considered. The parameters of the WAAREE ENERGIES WS-260 solar PV module are taken to analyze the performance of 4×4 PV array configuration. The results are generated using MATLAB/Simulink. Finally, it is concluded that SA configuration has maximum power output, lower power loss with mismatch and higher fill factor compared to other configurations under PSCs.","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":"125270570","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}
Mohd Zishan Khoker, Om Prakash Mahela, Gulhasan Ahmad
{"title":"A Current Based Hybrid 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/SCEECS48394.2020.6","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.6","url":null,"abstract":"This presents a current based algorithm using complex features evaluated by the use of discrete wavelet transform (DWT) and Hilbert transform (HT) for identification and classification of transmission line faults with solar energy. The proposed algorithm presents the fault indexes based on the current signal which is used for investigations of faults. The current signal is processed using discrete wavelet transform at a sampling frequency (SF) of 3.907 kHz for obtaining proposed W-index using detailed coefficients corresponding to first decomposition level. Same current signal is also processed using HT at a SF of 3.907 kHz for obtaining proposed H-index from absolute magnitudes of HT output. Proposed fault index (FI) is achieved by multiplying the W-index and H-index. A threshold value of proposed current based FI is selected for discriminating faulty phase from healthy conditions. Faults investigated in the study include the faults line to ground (LG), double line (LL), double line with ground (LLG) and fault involving all the three phases and ground (LLLG). Performance of algorithm is validated in MATLAb/Simulink software.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"46 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":"114561701","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":"Discontinuous Pulse Width Modulation Techniques for Modular Multilevel Converter","authors":"H. B. Gobburi, V. Borghate, P. M. Meshram","doi":"10.1109/SCEECS48394.2020.57","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.57","url":null,"abstract":"Modular Multilevel Converter (MMC) has already been strongly found its application in high voltage applications, and is lately been explored in medium voltage applications. The modulation techniques play an important role in the performance of the MMC in terms of the output fundamental component, distortions and the switching losses. So, this paper is focused on analyzing converter performance in terms of fundamental component and total harmonic distortion (T.H.D.). with the application of various discontinuous pulse width modulation (DPWM) techniques to the MMC. Comprehensive simulations have been carried out on 5-level MMC using MATLAB/Simulink software.","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":"131103538","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}