494 research outputs found
Macro-scale matter wave generation in charged particle dynamics in a magnetic field, a consequence of quantum entanglement
Matter wave interference effects on the macro-scale predicted by the author in charged particle dynamics in a magnetic field [R.K. Varma, Phys. Rev. E 64, 036608 (2001)], and observed subsequently [R.K. Varma, A.M. Punithavelu, S.B. Banerjee, Phys. Rev. E 65, 026503 (2002); R.K. Varma, S.B. Banerjee, Phys. Scr. 75, 19 (2007)] have been shown here to be an interesting consequence of quantum entanglement between the parallel and perpendicular degrees of freedom of the particle. Treating the problem in the framework of the inelastic scattering theory, it is shown that these macro-scale matter waves are generated in the ‘parallel’ degree of freedom as a modulation of the plane wave state of the particle along the field concomitantly with the excitation of Landau levels in the perpendicular degree of freedom in an inelastic scattering episode. We highlight here the role of quantum entanglement leading to the generation of this macro-scale quantum entity which has been shown to exhibit observable consequences. This case also exemplifies a situation exhibiting quantum entanglement on the macro-scale
Cointegration Analysis with State Space Models
This paper presents and exemplifies results developed for cointegration analysis with state space models by Bauer and Wagner in a series of papers. Unit root processes, cointegration and polynomial cointegration are defined. Based upon these definitions the major part of the paper discusses how state space models, which are equivalent to VARMA models, can be fruitfully employed for cointegration analysis. By means of detailing the cases most relevant for empirical applications, the I(1), MFI(1) and I(2) cases, a canonical representation is developed and thereafter some available statistical results are briefly mentioned.State space models, unit roots, cointegration, polynomial cointegration, pseudo maximum likelihood estimation, subspace algorithms
Doing Business in Asia
From the author of Doing Business in Europe (SAGE, 2018), Gabriele Suder has teamed up with Sumati Varma based in India, and Terence Tsai from China to bring this comprehensive solution for Asian business teaching and learning. The book offers a highly productive mix of international business and marketing theory, and is packed with pedagogical tools to engage and develop understanding, including two full-length corporate case studies per chapter. This is a unique volume covering the most relevant topics of Asia-focused business and management practice spanning from cross-cultural management to supply chain resilience to market entry and expansion strategy, and much more. Specifically designed to meet the needs of Postgraduate, MBA and those taking part in Executive Education programmes, this exciting learning experience will prepare Asia's leaders of the future
Air Pollution Control Equipment
This book has arisen directly from a course on Air and Water Pollution Control delivered by the first named author at the Technical University of Berlin. Extractions of this course have been presented in Brazil, Turkey and India. It was at the Indian Institute of Technology of Madras where the first named author got in contact with Professor Varma, who turned out to be a suggestive, cooperative coauthor. This book is addressed primarily to chemical, environmental and mechanical engineers, engaged in the design and operation of equipment for air pollution control. But it will certainly be helpful to chemists and physicists confronted with the solution of environmental problems. Furthermore it is intended as a text book for engineering courses on environmental protection. The goal of the book is the presentation of knowledge on design and operation of equipment applicable to the abatement of harmful emissions into air. The technology of air pollution control is of relatively young age, but it has already achieved a high degree of performance, due to the research and develop ment work invested in the last decades in this fiel
Micro-power Pulsed-Doppler Radar Clutter and Displacement Source Classification Dataset
This is the official dataset for the ACM BuildSys 2019 publication One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.
The training code for MSC-RNN can be found at https://github.com/dhruboroy29/MSCRNN
Kindly cite this work as:
@article{roy2019one,
title={One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification},
author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish},
journal={arXiv preprint arXiv:1909.03082},
year={2019}
}
</pre
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