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Arora P.,Netaji Subhas Institute of Technology | Hanmandlu M.,IITNew Delhi | Srivastava S.,Netaji Subhas Institute of Technology
Pattern Recognition Letters | Year: 2015

Human gait, a soft biometric helps to recognize people by the manner, they walk. This paper presents gait image features based on the information set theory, henceforth these are called gait information image features. The information set stems from a fuzzy set with a view to represent the uncertainty in the information source values using the entropy function. The proposed gait information image (GII) is derived by applying the concept of information set on the frames in one gait cycle and two features named gait information image with energy feature (GII-EF) and gait information image with sigmoid feature (GII-SF) are extracted. Nearest neighbor (NN) classifier is applied to identify the gait. The proposed features are tested on Casia-B dataset, SOTON small database with variations in clothing and carrying conditions and on OU-ISIR Treadmill B database with large variation in clothing conditions. Moreover, experiments are carried out on OU-ISIR Treadmill A database with slight variation in the walking speeds to demonstrate the robustness of the proposed features. © 2015 Elsevier B.V.

Xue N.,University of Michigan | Du W.,University of Michigan | Gupta A.,IITNew Delhi | Shyy W.,Hong Kong University of Science and Technology | And 2 more authors.
Journal of the Electrochemical Society | Year: 2013

This paper presents a numerical framework for automating the design of lithium-ion cells to maximize cell energy density while meeting specific power density requirements. The various processes in a battery cell are simulated using a physics-based electrochemistry model. The design is automatically performed by coupling the batterymodel with a gradient-based optimization algorithm. We demonstrate the potential for gradient-based optimization by applying this framework to optimize the design of a lithium-ion cell with spinel manganese dioxide cathode and meso-carbon micro beads (MCMB) anode for a range of power requirements. Results indicate that variations in the electrode thickness and porosity at optimal cell designs can be quantified via active mass ratios and it is found that the active mass ratios for optimal cell designs are independent of discharge rate. © 2013 The Electrochemical Society. All rights reserved.

Singh D.,IITNew Delhi | Kumar A.,IITNew Delhi
Bulletin of Environmental Contamination and Toxicology | Year: 2015

Abstract Transformation of silver oxide nanoparticles (nano-Ag2O) to silver nanoparticles (nano-Ag) and silver ions in environment is possible which might pose toxicity to plants and other species. The objective of this study was to study effects of nano-Ag2O and silver ions on growth of Mung bean (Vigna radiata) seedlings. V. radiata seeds were exposed to nano-Ag2O and silver ions (concentration range: 4.3 × 10-7, 4.3 × 10-6, 4.3 × 10-5, 4.3 × 10-4, and 4.3 × 10-3 mol/L) for 6 days. Root length, shoot length and dry weight of seedlings were found to decrease due to exposure of nano-Ag2O and silver ions. These findings indicate silver ions to be more toxic to V. radiata seeds than nano-Ag2O. Silver content in seedlings was found to increase with increasing concentrations of nano-Ag2O and silver ions. Overall, findings of the present study add to the existing knowledge of phytotoxicity of silver-based nanoparticles of different chemical compositions to V. radiata seeds and need to be considered during use of nanoparticles-contaminated water for irrigation purposes. © 2015 Springer Science+Business Media New York.

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