{"title":"EEG Feature Extraction Using Time Domain Analysis for Classifying Insomnia","authors":"P. Mamta, S. Prasad","doi":"10.1109/INDISCON50162.2020.00053","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00053","url":null,"abstract":"Insomnia is one of the most ubiquitous sleep disorders. It appears frequently in those who suffer from depression, stress, and anxiety. The objective of the study is to categorize the insomnia groups from normal groups using time-domain analysis. In this analysis, the statistical parameters are extracted from full EEG wave, alpha wave, beta wave, delta wave, and theta wave of two different groups based on single-channel Fp2-F4 electrode. The obtained parameters from various wave patterns are considered as time-domain features. These features are applied as input to four different classification techniques namely, linear Discriminant Analysis (LDA), Logistic Regression (LR), Gaussian- Support Vector Machine (G-SVM), and Ensemble Subspace KNN to differentiate Insomnia from normal groups. In this paper, we have estimated the classifiers performance by employing 5-fold cross-validation. The results demonstrate that Ensemble Subspace KNN has the highest Classification accuracy and specificity of value 78.3 %, and 80% respectively.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133699827","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":"Modeling and analysis of dual side de-tuned series-series compensation network-based Wireless Power Transmission system","authors":"Shubham Devlekar, M. Rane","doi":"10.1109/INDISCON50162.2020.00032","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00032","url":null,"abstract":"Inductive wireless power transmission system usually suffers from a wide range of coupling conditions and the power flow control. The dual side de-tuned series-series (SS) compensation method can overcome this problem. In this paper, the theoretical modeling and the simulation of this method in an inductively tuned primary and capacitively tuned secondary system presented. The simulation performed for a closed-loop wireless power transmission system for variable load and variable source using a PI controller. The stability of the system verified for designed Kp and Ki values of the controller using a mathematical model.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116933813","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":"Message from the General Chairs INDISCON 2020","authors":"","doi":"10.1109/indiscon50162.2020.00005","DOIUrl":"https://doi.org/10.1109/indiscon50162.2020.00005","url":null,"abstract":"","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125103074","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":"Analytical Study of Magnetic Field Intensity for various coils shapes","authors":"Rithvik Reddy Adapa, S. S. Nawaz, D. G. Padhan","doi":"10.1109/INDISCON50162.2020.00013","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00013","url":null,"abstract":"This paper analyzes different types of coil systems to produce volumes of uniform magnetic field. The square spiral coils are easier to implement than the circular ones. In this paper, a new analytical calculation for magnetic flux density of the spiral coils is presented, which is simpler than the greenhouse method. This paper presents a comparative study of the magnetic field distribution for circular and square coils. The magnetic flux density is obtained using the Biot-Savart law, furthermore a detailed analysis is performed in order to obtain simple mathematical expressions that relate the area, with uniform magnetic field, to the length of the different coils and number turns of the coils. Two adaptations of the Biot-Savart's law are developed in this paper which offer a means of calculating the flux density given the position of interest, the coil geometry, and the amount current passing through the coil. The calculation of the magnetic flux density using analytical formulas and finite element simulations are compared. Finally, a cube volume of uniform magnetic field in each coil is calculated. In this paper magnetic flux densities are determined for different currents at various locations for circular coil as well as square coil. Computational models are constructed and simulated using MATLAB software in order to validate the calculated results of the magnetic field distribution of each geometry considering similar parameters.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"10 19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123932798","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":"Finding a Depressive Twitter User by Analyzing Time Series Tweets","authors":"Sudha Tushara Sadasivuni, Yanqing Zhang","doi":"10.1109/INDISCON50162.2020.00022","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00022","url":null,"abstract":"Mental Health Status is a significant feature in human life, and it is observed through one's actions and behavior. This behavior is reflected in the changes in emotions, feelings, and loss of interest in previously enjoyed activities. Several researchers attempted to interpret social website data to find new events. Twitter is one of the prominent social sites with more than 330 million users sending a considerable number of tweets a day. We collected 0.2 million tweets related to the keywords of the Kessler Ten-point questionnaire and analyzed them. The tweet data set of a day is compared with our corpus to find the abnormality. We attempted to grade these depression keyword tweet time-series into four categories to isolate the anomaly. Our studies further suggested a process to identify a user from the tweets of a time series zone.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128037126","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":"Channel Estimation using Approximate Conjugate Gradient Pursuit for Hybrid MIMO System in Millimeter Wave Communication","authors":"Aditya Sethi, R. R. Raja Kumar","doi":"10.1109/INDISCON50162.2020.00056","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00056","url":null,"abstract":"Millimeter wave (mmWave) based systems can achieve very high data rates, thanks to large bandwidth and large antenna array systems which make it possible at such high frequencies. But at these high frequencies, analog front end devices are very much power hungry. Due to cost and power constraints, hybrid architecture needs to be deployed for mm precoding. mm Wave channel specific estimation techniques are required to estimate the channel due to the presence of a large number of antennas and analog beamformers. In this paper, the parametric channel estimation problem is casted into a sparse recovery problem considering the sparsity of mm Wave channels and is solved using approximate conjugate gradient pursuit (ACGP). The proposed method is fast and less complex as compared to the orthogonal matching pursuit (OMP) used in the literature. Performance comparison has been done in terms of floating point operations and time required by both algorithms for calculating the channel. The proposed method takes O(mn) computations as opposed to OMP which takes O(n3) computations (n > > m), thereby reducing a large number of computations especially for a system having a large array of antennas as used in present day technology.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130923536","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}
P. Sivakumar, T. U. Lakshmi, N. Reddy, R. Pavani, V. Chaitanya
{"title":"Breast Cancer Prediction System: A novel approach to predict the accuracy using Majority-Voting Based Hybrid Classifier (MBHC)","authors":"P. Sivakumar, T. U. Lakshmi, N. Reddy, R. Pavani, V. Chaitanya","doi":"10.1109/INDISCON50162.2020.00024","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00024","url":null,"abstract":"Breast Cancer is the frequently recognized cancer growth among ladies and a significant explanation behind the expanded death rate among ladies. It takes more time to diagnose manually and very few automated prediction systems were present, leads to building up a new prediction framework that identifies the tumors in early-stage with more prediction accuracy. Machine Learning algorithms are using numerous classification algorithms were applied to classify whether the tumors are either benign or malignant in nature. Classification algorithms are well trained from the previous data and these can predict the new pattern from the current data received. Existing automated Breast Cancer prediction system gave lesser prediction accuracy from the Breast Cancer data set and the dataset is only about the image attributes which is not much convenient for the users. To enhance the accuracy of various prediction models, a novel Majority-Voting Based Hybrid Classifier (MBHC) is proposed to overcome the problems of predicting Breast Cancer. The experimental results of Breast Cancer Prediction System which use MBHC produced an accuracy score of 79%.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125192564","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}
Satya Hemanth Appala, S. Pasupuleti, Jagruthi Vanka, P.S.D Bhima Raju
{"title":"Performance Analysis of VSI-fed Single-Phase Induction Motor Drive Using Variable and Multi Pulse-Width Modulation Techniques","authors":"Satya Hemanth Appala, S. Pasupuleti, Jagruthi Vanka, P.S.D Bhima Raju","doi":"10.1109/indiscon50162.2020.00035","DOIUrl":"https://doi.org/10.1109/indiscon50162.2020.00035","url":null,"abstract":"This paper gives an insight into the operation of single-phase induction motor or asynchronous motor (ASM) using a single-phase Voltage Source Inverter (VSI). The operation of VSI is explained in different modes. The variable-multi pulse width modulation (PWM) methods of a single-phase full-bridge inverter are presented comprehensively. The performance of the circuit and the ASM are estimated from the output voltage and current waveforms. The steady-state and dynamic response of the ASM in different PWM methods is also observed. The spectral performance of the modulation methods is also taken into consideration to highlight the merits and demerits of each method. MATLAB/Simulink software has been used to obtain the output results and Fast Fourier Transform (FFT) analysis.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134149019","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 VSI-fed Single-phase Induction Motor using Fixed Pulse Width Modulation Techniques","authors":"Sirisha Lanka, Swapna Saladi, V. Lavanya","doi":"10.1109/indiscon50162.2020.00034","DOIUrl":"https://doi.org/10.1109/indiscon50162.2020.00034","url":null,"abstract":"This paper gives an insight into the operation of single-phase induction motor or asynchronous motor (ASM) using a single-phase Voltage Source Inverter (VSI). The operation of VSI is explained in different modes. The fixed pulse width modulation (PWM) methods of a single-phase full-bridge inverter are presented comprehensively. The performance of the circuit is estimated from the output voltage and current waveforms. The steady-state and dynamic response of the ASM in different PWM methods is observed. The spectral performance of the modulation methods is also taken into consideration to highlight the merits and demerits of each method. MATLAB/Simulink software has been used to obtain the output results and Fast Fourier Transform (FFT) analysis.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130518090","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}
Chinthalgiri Jyothi, K. Gayathri, Saranya Karunamurthi, S. Veeramachaneni, Noor Mahammad S
{"title":"Area Efficient Approximate 4–2 Compressor for Multiplier Design","authors":"Chinthalgiri Jyothi, K. Gayathri, Saranya Karunamurthi, S. Veeramachaneni, Noor Mahammad S","doi":"10.1109/INDISCON50162.2020.00055","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00055","url":null,"abstract":"In many applications like Digital Signal Processing (DSP), the multiplier is the basic building block, which uses the more complex circuitry. As the DSP applications are tolerable to outputs with some error, the replacement of exact multiplier with approximate multiplier gives the higher energy efficiency. In this paper a new approximate 4–2 compressor circuit is proposed for less complex multiplication process. The proposed compressor uses less hardware circuitry and less energy. The simulation results shows that the approximate multiplier by using the proposed approximate 4–2 compressor consumes less energy when compared with other multipliers with bit size of 8×8. The proposed multiplier gives 77.94% reduction in EDP when compared with the exact multiplier.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123792590","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}