Institution
ITM University, Gurgaon, Haryana
Education•Gurgaon, India•
About: ITM University, Gurgaon, Haryana is a education organization based out in Gurgaon, India. It is known for research contribution in the topics: Encryption & Cryptosystem. The organization has 749 authors who have published 1159 publications receiving 12997 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors describe the concentration of carbonaceous particulates in India and describe the effect of carbon dioxide emissions on the environment and health of the people in the country.
Abstract: Complex environmental and health issues are on the rise in India because of the country’s huge emissions of carbonaceous particulates. The aim of this study was to describe concentration va...
3 citations
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13 Dec 2013TL;DR: In this article, the effect of porosity parameter, radiation parameter and suction parameter on flow and heat transfer characteristics are discussed and the skin-friction coefficient and the Nusselt number at the sheet are computed and discussed.
Abstract: The aim of this paper is to analyze two-dimensional unsteady flow of a viscous incompressible fluid about a stagnation point on a permeable stretching sheet in presence of a time dependent free stream velocity. Fluid is considered in the porous media with radiation effect. The Rosseland approximation is used to model the radiative heat transfer. Using a time-dependent stream function, partial differential equations corresponding to the momentum and energy equations are converted into non-linear ordinary differential equations. The numerical solutions of these equations are obtained by using the Runge-Kutta Fehlberg method with the help of shooting technique. In the present work, the effect of porosity parameter, radiation parameter and suction parameter on flow and heat transfer characteristics are discussed. The skin-friction coefficient and the Nusselt number at the sheet are computed and discussed. The results reported in the paper are in good agreement with published work in literature by other researchers.doi:10.14456/WJST.2014.13
3 citations
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TL;DR: In this article, the optical properties of Se80−xTe20Bix (0,≤ x ≤ 12) films were investigated using X-ray diffraction and transmission electron microscopy.
Abstract: The present paper reports the optical properties of Se80−xTe20Bix (0 ≤ x ≤ 12) films. Melt quenching method has been employed to prepare amorphous bulk samples, and thermal evaporation method has been used to deposit films of the samples under the vacuum of 10−5 torr. The structural characterization of films was carried out using X-ray diffraction and transmission electron microscopy. The X-ray diffraction studies showed that samples are amorphous in nature, while surface morphology results indicated the formation of nanorods of diameter 20–100 nm. The absorption and transmission spectra were recorded in the wavelength range 400–2500 nm, and data were used to determine refractive index, thickness of film, extinction coefficient and band gap of film samples. It was found that refractive index increases from 1.76 to 1.94 on increase in Bi wt% in the samples. Extinction coefficient also shows the same trend. This is due to increased polarizability of the larger Bi atoms. Further, the results show that energy band gap decreases on increase in Bi concentration in Se–Te–Bi nanostructured system. The value of Eg for x = 0 is 1.43 eV, while for x = 12, it decreases to 0.27 eV. The decrease in band gap is due to increase in the number of localized states, which eventually narrows the optical band gap. The values of band tail width (Ee) were also found to increase from 0.064 to 0.460 on Bi addition to Se–Te system. The small value of band gap and extinction coefficient makes these nanostructured films suitable for nano-electronic devices and anti-reflection multi layers.
3 citations
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15 May 2015TL;DR: The Mel-frequency cepstral coefficients (MFCC) are presented for extracting the speech features of child and adult voices and the support vector machine is used to classify the datasets in a child and an adult's speech.
Abstract: Speech Feature Detection is a technique employed in speech processing in which different features of speech are used to distinguish between speech in different age groups. This paper implements a new approach for the extraction and classification of the speech features using the Mel-frequency cepstral coefficient, and Support Vector Machine. This paper presents the Mel-frequency cepstral coefficients (MFCC) for extracting the speech features of child and adult voices. Using the support vector machine, we classify the datasets in a child and an adult's speech.
3 citations
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TL;DR: This paper presents BBO algorithm which is used for optimizing feature selection problem in SPL and an empirical study against 10 features model has been done and results with Genetic Algorithm are compared.
3 citations
Authors
Showing all 763 results
Name | H-index | Papers | Citations |
---|---|---|---|
S. K. Maurya | 37 | 121 | 3488 |
Prem Vrat | 33 | 69 | 4894 |
Kehar Singh | 30 | 197 | 4555 |
Stefan Fischer | 30 | 198 | 4477 |
Abhishek Jain | 29 | 120 | 3556 |
Prabhata K. Swamee | 29 | 150 | 3278 |
R. C. Mittal | 28 | 107 | 2456 |
Ram Kumar Sharma | 25 | 129 | 2243 |
Pramila Goyal | 23 | 52 | 1524 |
B. K. Das | 22 | 100 | 1879 |
Divya Agarwal | 22 | 198 | 2020 |
Yugal Kumar | 20 | 70 | 847 |
Sudheer Ch | 20 | 30 | 1336 |
Amparo Borrell | 20 | 87 | 1155 |
Anil Kumar Yadav | 19 | 54 | 1145 |