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113 results on '"Subathra, M. S. P"'

3. High Impedance Fault Arc Modeling—A Review

Author

Varghese, P. Rini, Subathra, M. S. P., Mathew, Cijo, George, S. Thomas, Sairamya, N. J., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Siano, Pierluigi, editor, Williamson, Sheldon, editor, and Beevi, Sabeena, editor

Published
2023
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8. Entropy-based feature extraction for classification of EEG signal using Lifting Wavelet Transform.

Author

Ananthi, A., Subathra, M. S. P., George, S. Thomas, and Sairamya, N. J.

Subjects
WAVELET transforms, SIGNAL classification, FEATURE extraction, SHORT-term memory, LONG-term memory, ELECTROENCEPHALOGRAPHY
Abstract

Copyright of Przegląd Elektrotechniczny is the property of Przeglad Elektrotechniczny and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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12. Application of Multi-domain Fusion Methods for Detecting Epilepsy from Electroencephalogram Using Classification Methods

Author

Susmitha, L., Thomas George, S., Subathra, M. S. P., Kumar, Nallapaneni Manoj, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Mallick, Pradeep Kumar, editor, Balas, Valentina Emilia, editor, Bhoi, Akash Kumar, editor, and Zobaa, Ahmed F., editor

Published
2019
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13. Computer-Aided Diagnosis of Epilepsy Based on the Time-Frequency Texture Descriptors of EEG Signals Using Wavelet Packet Decomposition and Artificial Neural Network

Author

Sairamya, N. J., Thomas George, S., Subathra, M. S. P., Kumar, Nallapaneni Manoj, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Mallick, Pradeep Kumar, editor, Balas, Valentina Emilia, editor, Bhoi, Akash Kumar, editor, and Zobaa, Ahmed F., editor

Published
2019
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14. Certain Analysis on Attention-Deficit Hyperactivity Disorder Among Elementary Level School Children in Indian Scenario

Author

Catherine Joy, R., Mercy Prathyusha, T., Tejaswini, K., Rose Mary, K., Mounika, M., Thomas George, S., Panicker, Anuja S., Subathra, M. S. P., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Peter, J. Dinesh, editor, Alavi, Amir H., editor, and Javadi, Bahman, editor

Published
2019
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15. Automated Intelligent Wireless Drip Irrigation Using ANN Techniques

Author

Subathra, M. S. P., Blessing, Chinta Joyson, Thomas George, S., Thomas, Abel, Dhibak Raj, A., Ewards, Vinodh, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Peter, J. Dinesh, editor, Alavi, Amir H., editor, and Javadi, Bahman, editor

Published
2019
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17. Automated Detection of Epileptic Seizure Using Histogram of Oriented Gradients for Analysing Time Frequency Images of EEG Signals

Author

Sairamya, N. J., Thomas George, S., Narain Ponraj, D., Subathra, M. S. P., Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Bhattacharyya, Pushpak, editor, Sastry, Hanumat G., editor, Marriboyina, Venkatadri, editor, and Sharma, Rashmi, editor

Published
2018
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32. Analysis and simulation of faults in a radial distribution network.

Author

Varghese, P. Rini, Subathra, M. S. P., Mathew, Cijo, and George, S. Thomas

Subjects
*ELECTRIC fault location, *POWER distribution networks, *CAPACITOR switching, *ELECTRIC power failures, *SYSTEM failures, *RELIABILITY in engineering
Abstract

Faults in the power system cause inconvenience in the transmission and distribution networks. Faulty conditions occur due to many reasons both internally and externally. Lightning strikes, cyclones, overheating, fire dangers, destruction of electrical devices, failure of power system components owing to deteriorated equipment, and human errors are only a few of the reasons. These faults in the power distribution network are unpredictable and can cause a reduction in system reliability that can result in exorbitant repairs, loss of productivity, blackout to customers, and even loss of life. The paper does not address any detection methods, but a study of the simulation of symmetrical fault, asymmetrical fault, load switching, capacitor switching, and high impedance faults in the radial distribution network and the analysis is done in Matlab/SIMULINK 2020. The waveforms obtained during single line to ground fault, the line-to-line fault, double line to ground fault, the triple line to ground fault, high impedance fault, load switching, and capacitor switching are presented. [ABSTRACT FROM AUTHOR]

Published
2022
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33. A review on - EEG signals by motor imagery based brain computer interface.

Author

Ananthi, A., Subathra, M. S. P., George, S. Thomas, and Prasanna, J.

Subjects
*COMPUTER interfaces, *ELECTROENCEPHALOGRAPHY, *MOTOR imagery (Cognition), *FEATURE extraction, *PARKINSON'S disease, *FOURIER transforms, *WAKEFULNESS
Abstract

Motor Imagery- Brain Computer Interface (MI-BCI) is known to be a recent blooming technique since it acts as non- muscular channel that helps for disabled people for communication. A exact and trustable MI-BCI system needs the extraction of enlightening and accurate features because it is a communication link among the wired brain and an external device. A brain computer interface, or BCI, plays a crucial role in human beings, particularly disabled persons. BCI is one in which various brain functions are analyzed or controlled with the help of computers (controllers). Along with-it EEG signals could be utilized to study the brain activity and also to diagnosis of diseases like neurological disorder, Parkinson's disease. EEG signals can be processed and the features can be extracted for the dimensionality reduction with the help of various techniques which includes PCA, Fast Fourier Transformation, Wavelet Transformation. These extracted features can be classified using classifiers such as SVM, K – Nearest neighbors, Neural network and few other methods. Now a days, the role of deep learning (DL) technique has had aowing impact on Motor imaginary-EEG-based Brain Computer Interface and data set has a vital role in all applications. Here in this paper, we have reviewed the recent papers that applied Physio net dataset to analyze and evaluate electroencephalogram (EEG) signals for various applications which contains 64 EEG channels and 109 subjects executing diverse tasks. [ABSTRACT FROM AUTHOR]

Published
2022
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34. Estimation of daily evapotranspiration rate for coimbatore region using ANN and DWT modeling technique.

Author

Swathi, S., Mary, X. Anitha, Subathra, M. S. P, and Manimegalai, P.

Subjects
EVAPOTRANSPIRATION, MICROIRRIGATION, CLIMATE change, WATER conservation, WATER use, IRRIGATION water
Abstract

Water conservation is the world's most spoken and written topic in recent times, coupled with global environmental phenomena like Global warming and climate change. There has been increased efforts to curtail unnecessary use of water for irrigation purposes. Drip irrigation solves only a portion of this problem. The real necessity today revolves around creating a smart system that is independent of human interference and human judgment. This work aims to establish a consensus between both by calculating a parameter known as Evapotranspiration (ETo). The standard Food and Agricultural Organization of the United Nations (FAO)-56 Penman-Monteith (PM) equation is taken as a reference for calculating the ETo value. This equation requires several meteorological inputs for estimating reference evapotranspiration (ETo). This work aims to define the model of evapotranspiration estimation that best adapts to the region of Coimbatore, Tamil Nadu, India. Here atmospherically parameters were fed into the Penman-Monteith equation and the ET predicted by the empirical model is considered as target and this was used to train the ANN model. The best results are tabulated through this work and their wavelet family is recommended for the Coimbatore region alone. [ABSTRACT FROM AUTHOR]

Published
2022
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44. Performance Evaluation of Discrete Wavelet Transform, and Wavelet Packet Decomposition for Automated Focal and Generalized Epileptic Seizure Detection.

Author

Sairamya, N. J., Premkumar, M. Joel, George, S. Thomas, and Subathra, M. S. P.

Subjects
EPILEPSY, DISCRETE wavelet transforms, PARTIAL epilepsy, FEATURE extraction, WAVELET transforms, SUPPORT vector machines, ELECTROENCEPHALOGRAPHY
Abstract

In the past decades, wavelet transforms are widely employed for characterizing the electroencephalogram (EEG) signals for automatic diagnosis of epileptic seizure. But few vital issues like the classification of epileptic seizure types from normal EEG signals has not yet been benefited with wavelet transforms. Hence, in this paper, the two major types of wavelet transform, namely discrete wavelet transform (DWT) and wavelet packet decomposition (WPD) are employed for the automatic diagnosis of the epileptic seizure and its types. The publicly available KITS EEG database consisting of three groups namely, normal, focal epilepsy and generalized epilepsy are utilized in this work. Four experimental cases namely (i) normal-generalized epilepsy, (ii) normal-focal epilepsy, (iii) normal-focal-generalized and (iv) normal-epilepsy are used to investigate the proposed approach. Further, this paper attempts to identify the best wavelet function from the commonly used seven wavelet families and the level of decomposition required to analyse the EEG signals. The nine statistical features are extracted from the wavelet coefficients and fed into the support vector machine (SVM) classifier. From the experimental result it was found out that the DWT with rbio1.1 attained the highest classification accuracy for all the experimental cases. [ABSTRACT FROM AUTHOR]

Published
2021
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49. Preparation and characterization of two dye-sensitized solar cells using Acalypha Godseffia and Epipremnum Aureum dyes as sensitizers.

Author

Ananthi, Nallamuthu, Subathra, M. S. P., Emmanuel, S. C., and Kumar, Nallapaneni Manoj

Subjects
*DYE-sensitized solar cells, *PHOTOSENSITIZERS, *NATURAL dyes & dyeing, *OPTICAL spectroscopy, *DYES & dyeing, *SURFACE morphology
Abstract

In this paper, two efficient dye-sensitized solar cells (DSSCs) are prepared using natural dyes extracted from Acalypha Godseffia and Epipremnum Aureum plant leaves. Characterization of these two dyes using UV visible spectroscopy and the study on surface morphology of ITO plates coated with dyes is carried out. DSSC prepared with a dye extracted from Epipremnum Aureum under standard irradiation conditions showed the electrical characteristics: VOC = 0.77 V, JSC = 7.58 A/cm2, Jm = 6 mA/cm2, Vm = 0.56 V, ff = 0.576, and ɳ = 3.362%. The extract from Acalypha Godseffia showed interesting performance: VOC = 0.77 V, JSC = 9.21 mA/cm2, Jm = 7.95 mA/cm2, Vm = 0.55 V, ff = 0.61656, and ɳ = 4.372%. [ABSTRACT FROM AUTHOR]

Published
2020
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