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275 results on '"Pandey, Kamlesh"'

6. Design and Simulation of PV Solar Cell System with Microgrid and Fuel Cell Using Discrete PID and FUZZY Controller

Author

Taneja, Gunjan, Tayal, Vijay Kumar, Pandey, Kamlesh, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sharma, Rohit, editor, Kannojiya, Ravindra, editor, Garg, Naveen, editor, and Gautam, Sachin S., editor

Published
2023
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7. Advanced Greenhouse Monitoring and Control System

Author

Kumar, Rajesh, Pandey, Kamlesh, Rai, Pratyush, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sikarwar, Basant Singh, editor, Sharma, Sanjeev Kumar, editor, Jain, Ankur, editor, and Singh, Krishna Mohan, editor

Published
2023
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8. Robust Control of Proton Exchange Membrane Fuel Cell (PEMFC) System

Author

Taneja, Gunjan, Tayal, Vijay Kumar, Pandey, Kamlesh, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, 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, 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, Shukla, Anupam, editor, Murthy, B. K., editor, Hasteer, Nitasha, editor, and Van Belle, Jean-Paul, editor

Published
2023
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9. Body Temperature and Oxygen Level Detection System

Author

Pathania, Karan, Kumar, Nakshtra, Choudekar, Pallavi, Ruchira, Pandey, Kamlesh, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, 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, 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, Shukla, Anupam, editor, Murthy, B. K., editor, Hasteer, Nitasha, editor, and Van Belle, Jean-Paul, editor

Published
2023
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28. Stratified Sampling-Based Data Reduction and Categorization Model for Big Data Mining

Author

Pandey, Kamlesh Kumar, Shukla, Diwakar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bansal, Jagdish Chand, editor, Gupta, Mukesh Kumar, editor, Sharma, Harish, editor, and Agarwal, Basant, editor

Published
2020
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29. A Comprehensive Study of Clustering Algorithms for Big Data Mining with MapReduce Capability

Author

Pandey, Kamlesh Kumar, Shukla, Diwakar, Milan, Ram, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Shukla, Rajesh Kumar, editor, Agrawal, Jitendra, editor, Sharma, Sanjeev, editor, Chaudhari, Narendra S., editor, and Shukla, K. K., editor

Published
2020
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30. Supercapacitor performance of polymer-in-salt electrolyte/water-in-polymer salt electrolyte synthesized by complexing glutaraldehyde crosslinked corn starch with Mg(ClO4)2.

Author

Yadav, Dipti, Pandey, Kamlesh, Aggarwal, Kanak, and Srivastava, Neelam

Subjects
SUPERCAPACITOR performance, ENERGY density, POWER density, ACTIVATED carbon, ION transport (Biology)
Abstract

Energy devices with high energy/power density are the need of the day, and to achieve the same, electrolytes with faster ion transport and wider electrochemical stability window are required. Polymer-in-salt electrolytes (PISEs) are predicted to have the better required electrochemical properties in comparison to salt-in-polymer electrolytes (SIPEs), but desired success is still to be achieved due to recrystallization problems. PISEs suffer from poor mechanical and/or electrochemical properties along with aging effects as well; hence, special efforts are required to reduce the crystallinity of PISEs. The present paper discusses a crosslinked corn starch complexed with Mg(ClO4)2 which not only has desired electrochemical properties but is also flexible. XRD study confirms the absence of crystalline nature, without any extra efforts to reduce it. Synthesized PISEs have high conductivity (~0.01 Scm−1), wide ESW (> 3 V), and low relaxation time (µs) along with being economical. Supercapacitors fabricated using this novel PISE with laboratory synthesized activated carbon (from leaves and corn starch) have shown good specific capacitance (~ 20 Fg−1 and ~ 45 Fg−1, respectively). The power density is of the order of kW kg−1, which is quite high in comparison to other reports. The shape of CV and LSV is strongly influenced by the salt concentration, i.e., by the ion-cluster size, and is also affected by the volume/size of the activated carbon pores. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Design of Efficient DC Power Supply for High-Voltage Low-Current Applications

Author

Singh, Archana, Sinha, Sanjay Kumar, Pandey, Kamlesh, Rani, Nibha, 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, Singh, Rajesh, editor, Choudhury, Sushabhan, editor, and Gehlot, Anita, editor

Published
2018
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38. Intelligent AVR Control of a Single Thermal Area Combined with LFC Loop

Author

Sharma, Devashish, Kushwaha, Varsha, Pandey, Kamlesh, Rani, Nibha, 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, Singh, Rajesh, editor, Choudhury, Sushabhan, editor, and Gehlot, Anita, editor

Published
2018
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42. ARTIFICIAL INTELLIGENCE OPTIMIZED CONTROLLER DESIGN FOR AUTOMATIC GENERATION CONTROL IN RESTRUCTURED POWER SYSTEMS.

Author

Pandey, Kamlesh, Tayal, Vijay Kumar, Sinha, Sanjay Kumar, and Patel, Ramnarayan

Subjects
*INTERCONNECTED power systems, *PARTICLE swarm optimization, *AUTOMATIC control systems, *ARTIFICIAL intelligence, *ELECTRIC lines
Abstract

This paper presents an investigation on automatic generation control (AGC) in restructured power systems with multiple interconnected areas and multiple machines. A particle swarm optimized combined optimal fuzzy controller has been proposed. The results obtained with the proposed controller have been compared with the conventional PI controller and optimal controller to exhibit its robust performance. Furthermore, the proposed controller aims to rapidly achieve zero deviations in frequency and tie line power, thereby maintaining system synchronism. The PSO-optimized combined optimal fuzzy controller demonstrates superior performance in terms of peak transient deviation, settling periods, and dynamic oscillations compared to other controllers. [ABSTRACT FROM AUTHOR]

Published
2024
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43. MI-K-MEAN ALGORITHM: A NEW APPROACH FOR FINANCIAL RISK ANALYSIS WITH MISSING DATA IMPUTATION IN BIG DATA.

Author

Kumar, Ravindra, Shukla, Diwakar, and Pandey, Kamlesh Kumar

Subjects
BIG data, K-means clustering, MISSING data (Statistics)
Abstract

The data mining is a tool of searching information from the data warehouse. Several mining algorithms exist in literature, one of the most common is the usual K-mean procedure. This generates centroids after every round of iteration. It is assumed that sample data is completely cleaned and noise free before the start of execution of the usual K-mean algorithm. If α% values are missing in sample data then after cleaning only (100-α)% values are available for the execution of the usual K-mean algorithm. Such bears a loss of information that affects the decision. This paper considers this problem and resolves such issue by replacing the missing data through imputed values calculated by the available values, called Mean Imputation (MI). It helps in financial risk analysis quite a lot because of risk prediction being taken on a larger sample (cleaned and imputed both). Several imputation procedures are available in literature. This paper considers the financial risk data as sample where the missing values of sample are imputed by the usual Mean-Imputation (MI) method and then on complete sample. Proposed MI-K-mean strategy is compared with no imputation usual procedure and found more efficient over the four-evaluation criterion of cluster formation while applying on risk data analysis. [ABSTRACT FROM AUTHOR]

Published
2024

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