Search

Your search keyword '"Selvakumar, J."' showing total 211 results
Start Over Author "Selvakumar, J."
211 results on '"Selvakumar, J."'

4. A Stochastic Method for Optimizing Portfolios Using a Combined Monte Carlo and Markowitz Model: Approach on Python

Author

Mallieswari R., Palanisamy Varadharajan, Senthilnathan Arthi Thangavelu, Gurumurthy Suganya, Joshua Selvakumar J., and Pachiyappan Sathish

Subjects
return, risk, efficient frontier, markowitz monte carlo, pharma index, correlation, g11, g12, g14, g1, g2, Business, HF5001-6182
Abstract

The main of the study is to comprehend how the mean variance efficient frontier method may be used in conjunction with Markowitz portfolio theory to produce an optimal portfolio. The study uses daily observations 8 pharma companies closing price namely Auropharma, Granules, Glaxo, Lauruslabs, Pfizer, Sanofi and Torntpharma. Further, Nifty pharma index is considered as benchmark index to check the performance of the chosen companies. The study chosen the reference period from 2020 to 2023 and required data has been extracted from the National Stock Exchange (NSE). This research is based on implementing a stochastic method for efficient portfolio optimisation employing a blended Monte Carlo and Markowitz model. In order to forecast the price of these indices in the future and to determine the likelihood of profit or loss while investing in a portfolio of stocks representing the aforementioned indices, the study also uses Monte Carlo simulation. The study involves two algorithms, namely the deterministic optimisation algorithm, which uses Markowitz Portfolio Theory, and the probabilistic optimisation algorithm, which uses Monte Carlo simulation. The study employed correlation matrix to find the exist relationship between the chosen companies and benchmark index. Also, expected return and volatility has been identified with the help of standard deviation using Python. The study found that the NIFTY Pharma index offers a higher return of 14.35. In addition to this, NIFTY Pharma portfolio’s volatility is considerably higher. The study concludes that the NIFTY pharma portfolio is more suitable for those investors who have an appetite for risk.

Published
2024
Full Text
View/download PDF

5. Assessment of SiO2-B2O3-Na2O-TiO2-Fe2O3 Glass System for the Vitrification of High-Level Acidic Radioactive Liquid Waste

Author

Selvakumar, J., Maity, Sourav, Suneel, G., Srinivasan, S., Jawahar, N. R., Gayen, J. K., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Molla, Atiar R., editor, Kalyandurg, Annapurna, editor, and Parker, J. M., editor

Published
2024
Full Text
View/download PDF

6. Securing Cyber-Physical Systems: A Strategic Review

Author

Nisha, B. Muthu, Selvakumar, J., Rocha, Álvaro, Series Editor, Hameurlain, Abdelkader, Editorial Board Member, Idri, Ali, Editorial Board Member, Vaseashta, Ashok, Editorial Board Member, Dubey, Ashwani Kumar, Editorial Board Member, Montenegro, Carlos, Editorial Board Member, Laporte, Claude, Editorial Board Member, Moreira, Fernando, Editorial Board Member, Peñalvo, Francisco, Editorial Board Member, Dzemyda, Gintautas, Editorial Board Member, Mejia-Miranda, Jezreel, Editorial Board Member, Hall, Jon, Editorial Board Member, Piattini, Mário, Editorial Board Member, Holanda, Maristela, Editorial Board Member, Tang, Mincong, Editorial Board Member, Ivanovíc, Mirjana, Editorial Board Member, Muñoz, Mirna, Editorial Board Member, Kanth, Rajeev, Editorial Board Member, Anwar, Sajid, Editorial Board Member, Herawan, Tutut, Editorial Board Member, Colla, Valentina, Editorial Board Member, Devedzic, Vladan, Editorial Board Member, Manoharan, S., editor, Tugui, Alexandru, editor, and Baig, Zubair, editor

Published
2024
Full Text
View/download PDF

8. Physical Architecture of Linear Feedback Shift Register Using Clock Tree Synthesis for Cyber-Physical System

Author

Muthu Nisha, B., Nithya, V., Selvakumar, J., 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, Suma, V., editor, Lorenz, Pascal, editor, and Baig, Zubair, editor

Published
2023
Full Text
View/download PDF

9. Polar Decoder-Based Full Adders: Implementation and Comparative Analysis Using 180 nm and 90 nm Technologies in Cadence

Author

Vijayalakshmi, T., Selvakumar, J., 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, Bindhu, V., editor, Tavares, João Manuel R. S., editor, and Vuppalapati, Chandrasekar, editor

Published
2023
Full Text
View/download PDF

10. LFSR Schema Using CMOS VLSI Technologies—Design, Implementation and Comparative Analysis

Author

Umamaheswari, P., Selvakumar, J., 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, Bindhu, V., editor, Tavares, João Manuel R. S., editor, and Vuppalapati, Chandrasekar, editor

Published
2023
Full Text
View/download PDF

13. Circuit fault detection model using multiclass support vector machine.

Author

Vijayalakshmi, T. and Selvakumar, J.

Subjects
*MACHINE learning, *SUPPORT vector machines, *HILBERT transform, *ADAPTIVE filters, *FIELD-effect transistors
Abstract

Fault detection in a complex circuit is a tedious process, and it requires specialised manpower to detect and localise the faults. Manual detection is quite time consuming and might be wrong some times. Identification of faults automatically by analysing the circuit using transforms and machine learning algorithm is presented in this research work. A hardware model and a software model are developed to generate the test and train samples, and they are used in simulation analysis to detect the faults. A simple adiabatic adder using metal-oxide-semiconductor field-effect transistor is used in the hardware module, and multiple techniques like adaptive median filtering, Hilbert transform, geometric algebraic scale-invariant feature transform and multiclass support vector machine are used in the simulation model to detect the faults in the circuit. All the stages of simulation analysis results are presented to validate the performance of the proposed model. Normal and faulty conditions are accurately detected by the proposed model with maximum detection accuracy, which reduces the human efforts in designing and developing a circuit. [ABSTRACT FROM AUTHOR]

Published
2025
Full Text
View/download PDF

14. Design of Compact Paper Counting Machine

Author

Sathishkumar, C., Selvakumar, J., Venkatesh, S. R., Thoufeekahamed, M., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Kumaresan, G., editor, Shanmugam, N. Siva, editor, and Dhinakaran, V., editor

Published
2021
Full Text
View/download PDF

21. A Novel Hybridization of ML Algorithms for Cluster Head Selection in WSN.

Author

R., Praveen Kumar, Prabakaran, M. P., Arumugam, Durai, and Selvakumar, J.

Subjects
WIRELESS sensor networks, MACHINE learning, GENETIC algorithms, SENSOR networks, DATA packeting
Abstract

Generally, Wireless Sensor Networks (WSNs) are infrastructure-less networks with thousands of sensor nodes that sense or monitor the physical and environmental changes and forward the collected data to a central node. Besides, WSN has become the most efficient technology for handling Internet of Things (IoT) devices. Still, challenges such as node failures, high traffic among the nodes, link failures, etc., limit the performance of WSNs. To solve the challenges in WSN, this paper aims to develop a novel non-uniform clustering model, where the Cluster Heads (CHs) are selected based on the candidate CH selection strategy that transfers the data. Moreover, unbalanced energy utilization and data redundancy are eliminated via multi-hop communication. For attaining the non-uniform clustering model, the routing among the data packets is done by the efficiency of the hybridization of the Machin Learning (ML) algorithms viz Genetic Algorithm (GA) and Lion Algorithm (LA) with the consideration of energy, cost, time, network lifetime, and data accuracy. Finally, the performance of the proposed model is verified and validated through a comparative study with the existing models. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

22. A Preliminary Study of Oscillators, Phase and Frequency Detector, and Charge Pump for Phase-Locked Loop (PLL) Applications

Author

Prithiviraj, R., Selvakumar, J., Angrisani, Leopoldo, Series editor, Arteaga, Marco, Series editor, Chakraborty, Samarjit, Series editor, Chen, Jiming, Series editor, Chen, Tan Kay, Series editor, Dillmann, Ruediger, Series editor, Duan, Haibin, Series editor, Ferrari, Gianluigi, Series editor, Ferre, Manuel, Series editor, Hirche, Sandra, Series editor, Jabbari, Faryar, Series editor, Kacprzyk, Janusz, Series editor, Khamis, Alaa, Series editor, Kroeger, Torsten, Series editor, Ming, Tan Cher, Series editor, Minker, Wolfgang, Series editor, Misra, Pradeep, Series editor, Möller, Sebastian, Series editor, Mukhopadhyay, Subhas Chandra, Series editor, Ning, Cun-Zheng, Series editor, Nishida, Toyoaki, Series editor, Panigrahi, Bijaya Ketan, Series editor, Pascucci, Federica, Series editor, Samad, Tariq, Series editor, Seng, Gan Woon, Series editor, Veiga, Germano, Series editor, Wu, Haitao, Series editor, Zhang, Junjie James, Series editor, Li, Jie, editor, Sankar, A Ravi, editor, and Beulet, P Augusta Sophy, editor

Published
2018
Full Text
View/download PDF

31. Distributed Real Time Control Systems for Deep Water ROV (ROSUB 6000)

Author

Ramesh, R., Jayakumar, V. K., Selvakumar, J. Manecius, Doss Prakash, V., Ramadass, G. A., Atmanand, M. A., Vadakkepat, Prahlad, editor, Kim, Jong-Hwan, editor, Jesse, Norbert, editor, Mamun, Abdullah Al, editor, Kiong, Tan Kok, editor, Baltes, Jacky, editor, Anderson, John, editor, Verner, Igor, editor, and Ahlgren, David, editor

Published
2010
Full Text
View/download PDF

32. Chromatography separation of minor actinides from Ln3+ rich high-level radioactive liquid waste (HLW) using bis-triazinyl-pyridine (BTP) resin.

Author

Anshul, Kumari, Selvakumar, J., Srinivasan, S., Suneel, G., Jawahar, N.R., Gayen, J.K., and Ravi, K.V.

Subjects
*LIQUID waste, *RADIOACTIVE wastes, *FUEL cycle, *ACTINIDE elements, *NUCLEAR fuels, *OXALIC acid
Abstract

Separation of Minor Actinide (MA) from High-level Radioactive Liquid Waste (HLW), especially from Ln3+, is greatly needed in the nuclear fuel cycle to reduce the long-term radiotoxicity associated with the waste and for transmutation use. Devising a simple process and designing an extractant is challenging due to the chemical similarity of An3+ and Ln3+ in aqueous solutions. Hence, a tailor-made extractant was prepared, and the partitioning of MA (An3+: 241Am and 244Cm) from Ln3+ rich HLW has been demonstrated using indigenously developed Camphor-based Bis-Triazinyl-Pyridine (CA-BTP) impregnated XAD−7 (BTP Resin). The BTP resin exhibited good adsorption selectivity toward An3+ over Ln3+, acceptable adsorption kinetic, and adequate stability against HNO3 (<2.5 mol/L) and γ-irradiation. The % decontamination factor (DF) achieved was > 99.99 for 137Cs and 154Eu, and 99.7 for Nd. Separated 241Am was precipitated with a saturated solution of oxalic acid. The performance of BTP resin reveals that it has an excellent potential to separate 241Am from Ln3+-rich HLW solution in pure form. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

36. POST EXPOSURE PROPHYLAXIS IN DENTAL CLINICS- A REVIEW

Author

Selvakumar J and Rojadarshini M

Subjects
virus diseases
Abstract

Occupational exposures are common among dentists, physicians and other health care professionals as they are in direct connection with blood and other body fluids. Accidental exposure to the blood borne pathogens Human Immunodeficiency Virus (HIV), Hepatitis B Virus (HBV) and Hepatitis C Virus (HCV) may occur through injury by sharp instruments and needles and exposure of mucous membrane to blood and other potentially infectious body secretions. This article deals about those who are at risk, factors that influence their risk, do’s and don’ts of the exposed, their management and medications. KEYWORDS: HIV, HBV, HCV, exposure, risk.

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results