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5 results on '"Arunvinthan, Shanmugam"'

1. Effect of Trough Incidence Angle on the Aerodynamic Characteristics of a Biomimetic Leading-Edge Protuberanced (LEP) Wing at Various Turbulence Intensities.

Author

Arunvinthan, Shanmugam, Gouri, Ponnusamy, Divysha, Saravanan, Devadharshini, RK, and Nithya Sree, Rajan

Subjects
*WIND tunnel testing, *TURBULENCE, *WIND tunnels, *SURFACE pressure, *WING-warping (Aerodynamics), *WIND speed
Abstract

A series of wind tunnel tests were performed to investigate the effect of turbulent inflows on the aerodynamic characteristics of variously modified trough incident leading-edge-protuberanced (LEP) wing configurations at various turbulence intensities. A self-developed passive grid made of parallel arrays of round bars was placed at different locations of the wind tunnel to generate desired turbulence intensity. The aerodynamic forces acting over the trough incidence LEP wing configuration where obtained from surface pressure measurements made over the wing at different turbulence intensities using an MPS4264 Scanivalve simultaneous pressure scanner corresponding to a sampling frequency of 700 Hz. All the test models were tested at a wide range of angles of attack ranging between 0 ° ≤ α ≤ 90 ° at turbulence intensities varying between 5.90% ≤ TI ≤ 10.54%. Results revealed that the time-averaged mean coefficient of lift (CL) increased with the increase in the turbulence intensity associated with smooth stall characteristics rendering the modified LEP test models advantageous. Furthermore, based on the surface pressure coefficients, the underlying dynamics behind the stall delay tendency were discussed. Additionally, attempts were made to statistically quantify the aerodynamic forces using standard deviation at both the pre-stall and the post-stall angles. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Retraction notice to 'Applicability of Canister for Barraging Missiles' [(2015) IREASE 8 (5), pp. 161-166]

Author

K. Rengasamy, Arunvinthan Shanmugam, S Irish Angelin, and S. Raja

Subjects
Fluid Flow and Transfer Processes, Engineering, Operations research, Notice, Control and Systems Engineering, business.industry, Aerospace Engineering, Library science, Electrical and Electronic Engineering, business
Abstract

Refers To: Irish Angelin S., Raja S., K. Rengasamy, Arunvinthan S., RETRACTED: Applicability of Canister for Barraging Missiles , (2015) International Review of Aerospace Engineering (IREASE) , 8 (5), pp. 161-166. ______________________________________ In response to a request made by the author of this paper, the paper has been retracted by the Publisher. The explanation provided by the authors is that the paper includes some data and an analysis in part already published in other works omitting, unintentionally, the related references. You may obtain a copy of Praise Worthy Prize’s policy on Retraction by consulting the following link: http://www.praiseworthyprize.com/ethics/

Published
2016

3. RETRACTED: Applicability of Canister for Barraging Missiles

Author

S. Raja, Arunvinthan Shanmugam, K. Rengasamy, and S Irish Angelin

Subjects
Fluid Flow and Transfer Processes, Engineering, Operations research, Control and Systems Engineering, business.industry, Aerospace Engineering, Library science, Electrical and Electronic Engineering, business
Abstract

Referred to by: Irish Angelin S., Raja S., K. Rengasamy, Arunvinthan S., Retraction notice to "Applicability of Canister for Barraging Missiles" [(2015) IREASE 8 (5), pp. 161-166] , (2016) International Review of Aerospace Engineering (IREASE) , 9 (2). ______________________________________ In response to a request made by the authors of the paper, the paper has been retracted by the Publisher. The explanation provided by the authors is that the paper includes some data and an analysis in part already published in other works omitting, unintentionally, the related references. To know which further actions are previewed by Praise Worthy Prize in case of Retraction, please see the following link: http://www.praiseworthyprize.com/ethics/

Published
2015

4. Artificial Neural Networks Based War Scene Classification Using Various Feature Extraction Methods: A Comparative Study

Author

G. Srinitya, S. Daniel Madan Raja, and Arunvinthan Shanmugam

Subjects
Artificial neural network, business.industry, Computer science, Zernike polynomials, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Haar wavelet, symbols.namesake, Wavelet, Computer Science::Computer Vision and Pattern Recognition, symbols, Computer vision, Artificial intelligence, Invariant (mathematics), business, MATLAB, computer, Feed forward back propagation, computer.programming_language
Abstract

In this paper we are trying to identify the best feature extraction method for classifying war scene from natural scene using Artificial Neural Networks. Also, we are proposed a new hybrid method for the same. For this purpose two set of image categories are taken viz., opencountry & war tank. By using the proposed hybrid method and other feature extraction methods like haar wavelet, daubechies (db4) wavelet, Zernike moments, Invariant moments, co-occurrence features & statistical moments, features are extracted from the images/scenes. The extracted features are trained and tested with Artificial Neural Networks (ANN) using feed forward back propagation algorithm. The comparative results are proving efficiency of the proposed hybrid feature extraction method (i.e., the combination of GLCM & Statistical moments) in war scene classification problems. It can be concluded that the proposed work significantly and directly contributes to scene classification and its new applications. The complete work is experimented in Matlab 7.6.0 using real world dataset.

Published
2011

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