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9 results on '"P.D. Singh"'

1. Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique

Author

S.K. Tamang, P.D. Singh, and B. Datta

Subjects
ann-curve fitting, artificial neural network (ann), coronavirus (covid-19), forecast modelling, Environmental sciences, GE1-350
Abstract

Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial neural network-based curve fitting techniques in prediction and forecasting of the Covid-19 number of rising cases and death cases in India, USA, France, and UK, considering the progressive trends of China and South Korea. In this paper, three cases are considered to analyze the outbreak of Covid-19 pandemic viz., (i) forecasting as per the present trend of rising cases of different countries (ii) forecasting of one week following up with the improvement trends as per China and South Korea, and (iii) forecasting if followed up the progressive trends as per China and South Korea before a week. The results have shown that ANN can efficiently forecast the future cases of COVID 19 outbreak of any country. The study shows that the confirmed cases of India, USA, France and UK could be about 50,000 to 1,60,000, 12,00,000 to 17,00,000, 1,40,000 to 1,50,000 and 2,40,000 to 2,50,000 respectively and may take about 2 to 10 months based on progressive trends of China and South Korea. Similarly, the death toll for these countries just before controlling could be about 1600 to 4000 for India, 1,35,000 to 1,00,000 for USA, 40,000 to 55,000 for France, 35,000 to 47,000 for UK during the same period of study.

Published
2020
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4. Detailed Human Activity Recognition using Wearable Sensor and Smartphones

Author

Jayita Saha, Asmita Nandy, Kundan P.D. Singh, and Chandreyee Chowdhury

Subjects
Majority rule, Artificial neural network, business.industry, Computer science, Feature extraction, Wearable computer, Accelerometer, Machine learning, computer.software_genre, Activity recognition, Identification (information), Home automation, Artificial intelligence, business, human activities, computer
Abstract

Use of Human activity recognition is increasing day by day for smart home, eldercare, remote health monitoring and surveillance purpose. Serving these purposes better, needs detailed recognition of activities, viz. sitting on chair or floor, slow or brisk walk, running with load, etc. Very few works aim to distinguish between intense activities (such as walk carrying weight) from its counterpart (walk) which is essential for effective health monitoring of elder adults and patients recovering from surgery. In this work, solution has been proposed for this purpose with the help of wearable and smartphone-embedded sensors. Accordingly, the contribution of this work is to present a framework for detailing in identification for both static and dynamic activities, as well as their intense counterparts by designing an ensemble of classifiers. The ensemble is designed that applies weighted majority voting for classification of test instances. Weights of the base classifiers are determined by feeding their output performance for training dataset in a neural network. We observed that our work achieves above 94% recognition accuracy.

Published
2019
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5. Astrochemistry of Cosmic Phenomena : Proceedings of the 150th Symposium of the International Astronomical Union, Held at Campos Do Jordão, São Paulo, Brazil, August 5-9, 1991

Author

P.D. Singh and P.D. Singh

Subjects
Cosmochemistry--Congresses
Abstract

The IAU symposium No. 150'Astrochemistry of Cosmic Phenomena'was held at the beautiful and scenic town of Campos do Jordao, Sao Paulo, Brazil from August 5 to 9, 1991, and was attended by 111 registered participants with 17 accompanied guests from 19 countries. The symposium had a wide ranging discussion of the chemistry of astronomical environments with an emphasis on the description of molecular processes that critically influence the nature and evolution of astronomical objects and the identification of specific observations that directly address significant astronomical questions. The subject areas of the symposium included atomic and molecular processes at low and high temperatures and photon interactions, the chemical structure of molecular clouds in the Milky Way and in external galaxies, the chemistry of outflows and their interactions with the interstellar medium, the chemical connections between the interstellar medium and the solar system and pregalactic chemistry. The scientific programme comprised of review talks and con­ tributed papers, with a general introduction by Professor A. Dalgarno and a final overview of the whole symposium by Professor D. A. Williams. Financial supports from the Sao Paulo State Foundation Support (FAPESP), Brazilian National Research Council(CNPq), Finance Company of Studies and Projects (FINEP), Institute of Astronomy and Geophysics of University of Sao Paulo (IAG-USP) and Inter­ national Astronomical Union (IAU) are greatfully acknowledged. I am greatly indebted to Professor A.

Published
2012

7. Mass Loss Rates of Three Comets

Author

P.D. Singh, W.F. Huebner, D.C. Boice, I. Konno, and E. Scalise

Abstract

Emission features of C2, C3, CN, and dust in Comets Thiele (1985m), Hartley-Good (1985l), and Giacobini-Zinner (1984e) have been analyzed and their mass loss rates of about 0.5, 1.1, and 0.8 Mg s−1 have been determined.

Published
1992
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