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Banerjee A.N.,Durham University | Banik N.,Mahindra Ecole Centrale | Mukhopadhyay J.P.,Institute for Financial Management Research
Development Policy Review | Year: 2015

This article examines the dynamics of the income-distribution pattern in India during the post-1991 economic reforms. It considers district-level per-capita income data across agriculture, manufacturing, services, and various constituent sub-sectors, and finds evidence in favour of a uniform process of growth across sectors and regions, which has helped to reduce poverty. In particular, the article finds that growth in agricultural income and access to finance are important for this. © 2015 Overseas Development Institute.


Oh J.W.,Pohang University of Science and Technology | Bollina R.,Mahindra Ecole Centrale | Lee W.S.,Korea Institute of Industrial Technology | Park S.J.,Pohang University of Science and Technology
Powder Technology | Year: 2016

One of the significant advantages of nanopowder is activated sintering and better surface finish of the final components. However, because of its drawbacks like higher cost and low formability, the mixture of nano and micro powder emerged as an effective solution. In this research, effects of nanopowder in nano/micro bimodal feedstock were studied. Bimodal powder in feedstock was prepared with nano and micro sized powders. These powders were mixed with different nanopowder volume ratio from 0 to 50%. The effects of nanopowder vol.% on the critical solids loading was investigated with rheometer experiments. From debinding behavior, apparent debinding activation energy for each feedstock was determined. Sintering behavior of micro and bimodal feedstocks were analyzed by dilatometer and compared with die compacted specimen. Nanopowder effect on sintered density and hardness of the samples were verified as well. © 2016 Elsevier B.V.


Mohan Rao S.J.,Indian Institute of Technology Guwahati | Kumar D.,Indian Institute of Technology Guwahati | Kumar G.,Indian Institute of Technology Guwahati | Chowdhury D.R.,Mahindra Ecole Centrale
Journal of Infrared, Millimeter, and Terahertz Waves | Year: 2016

We present the effect of vertical displacements between the resonators inside the unit cell of planar coupled metamaterials on their near field coupling and hence on the terahertz (THz) wave modulation. The metamolecule design consists of two planar split- ring resonators (SRRs) in a unit cell which are coupled through their near fields. The numerically simulated transmission spectrum is found to have split resonances due to the resonance mode hybridization effect. With the increase in displacement between the near field coupled SRRs, this metamaterial system shows a transition from coupled to uncoupled state through merging of the split resonances to the single intrinsic resonance. We have used a semi-analytical model describing the effect of displacements between the resonators and determine that it can predict the numerically simulated results. The outcome could be useful in modulating the terahertz waves employing near field coupled metamaterials, hence, can be useful in the development of terahertz modulators and frequency tunable devices in future. © 2016 Springer Science+Business Media New York


Bhattacharyya R.,Indian Institute of Technology Kanpur | Gupta A.,Rensselaer Polytechnic Institute | Venkataraman S.,Mahindra Ecole Centrale
Electricity Journal | Year: 2016

A new framework allows one to examine how likely a traditional power producer is to switch to more efficient fuel under various relevant price risk factors. The results show that the carbon emission price and natural gas price stand out as the two most important determinants for an economically justifiable fuel conversion strategy. The impact of coal and electricity prices is less significant. © 2016 Elsevier Inc.


Basak K.,Mahindra Ecole Centrale | Dey G.,Indian Institute of Technology Kharagpur | Mahadevappa M.,Indian Institute of Technology Kharagpur | Mandal M.,Indian Institute of Technology Kharagpur | And 2 more authors.
Microvascular Research | Year: 2016

Laser speckle contrast imaging (LSCI) provides a noninvasive and cost effective solution for in vivo monitoring of blood flow. So far, most of the researches consider changes in speckle pattern (i.e. correlation time of speckle intensity fluctuation), account for relative change in blood flow during abnormal conditions. This paper introduces an application of LSCI for monitoring wound progression and characterization of cutaneous wound regions on mice model. Speckle images are captured on a tumor wound region at mice leg in periodic interval. Initially, raw speckle images are converted to their corresponding contrast images. Functional characterization begins with first segmenting the affected area using k-means clustering, taking wavelet energies in a local region as feature set. In the next stage, different regions in wound bed are clustered based on progressive and non-progressive nature of tissue properties. Changes in contrast due to heterogeneity in tissue structure and functionality are modeled using LSCI speckle statistics. Final characterization is achieved through supervised learning of these speckle statistics using support vector machine. On cross evaluation with mice model experiment, the proposed approach classifies the progressive and non-progressive wound regions with an average sensitivity of 96.18%, 97.62% and average specificity of 97.24%, 96.42% respectively. The clinical information yield with this approach is validated with the conventional immunohistochemistry result of wound to justify the ability of LSCI for in vivo, noninvasive and periodic assessment of wounds. © 2016 Elsevier Inc.


Pal B.P.,Mahindra Ecole Centrale | Ghosh S.,University of Calcutta
Proceedings 12th International Conference on Fiber Optics and Photonics, Photonics 2014 | Year: 2014

A right amount of disorder in the form of refractive index variation has been introduced to achieve transverse localization of light in 1D semi-infinite photonic lattices. Presence of longitudinally-invariant transverse disorder opens-up a new waveguiding mechanism. © OSA 2014.


Chowdhury D.R.,Mahindra Ecole Centrale
International Conference on Optical MEMS and Nanophotonics | Year: 2016

Electromagnetic metamaterials (MMs) consisting of highly conducting sub-wavelength metallic resonators enable many unusual electromagnetic properties at user defined frequencies which are not permissible with the naturally occurring materials [1, 2]. Generally the electromagnetic properties of metamaterials are controlled by the design variation of the MM unit cell, often termed as meta-molecule, consisting of single or multiple metallic split ring resonators (SRRs). These metallic resonators are quite often termed as meta-atoms too. The near field electromagnetic coupling between these meta-atoms exhibits an important role in modulating the fundamental resonances of the metamaterials [3-5]. © 2016 IEEE.


Shreejith S.,Nanyang Technological University | Banarjee B.,Nanyang Technological University | Vipin K.,Mahindra Ecole Centrale | Fahmy S.A.,Nanyang Technological University
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST | Year: 2015

Cognitive radios require an intelligent MAC layer coupled with a flexible PHY layer. Most implementations use software defined radio platforms where the MAC and PHY are both implemented in software, but this can result in long processing latency, and makes advanced baseband processing unattainable. While FPGA based SDR platforms do exist, they are difficult to use, requiring significant engineering expertise, and adding dynamic behaviour is even more difficult. Modern hybrid FPGAs tightly couple an FPGA fabric with a capable embedded processor, allowing the baseband to be implemented in hardware, and the MAC in software. We demonstrate a platform that enables radio designers to build dynamic cognitive radios using the Xilinx Zynq with partial reconfiguration, enabling truly dynamic, low-power, high-performance cognitive radios with abstracted software control. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.


PubMed | Mahindra Ecole Centrale and Indian Institute of Technology Kharagpur
Type: | Journal: Microvascular research | Year: 2016

Laser speckle contrast imaging (LSCI) provides a noninvasive and cost effective solution for in vivo monitoring of blood flow. So far, most of the researches consider changes in speckle pattern (i.e. correlation time of speckle intensity fluctuation), account for relative change in blood flow during abnormal conditions. This paper introduces an application of LSCI for monitoring wound progression and characterization of cutaneous wound regions on mice model. Speckle images are captured on a tumor wound region at mice leg in periodic interval. Initially, raw speckle images are converted to their corresponding contrast images. Functional characterization begins with first segmenting the affected area using k-means clustering, taking wavelet energies in a local region as feature set. In the next stage, different regions in wound bed are clustered based on progressive and non-progressive nature of tissue properties. Changes in contrast due to heterogeneity in tissue structure and functionality are modeled using LSCI speckle statistics. Final characterization is achieved through supervised learning of these speckle statistics using support vector machine. On cross evaluation with mice model experiment, the proposed approach classifies the progressive and non-progressive wound regions with an average sensitivity of 96.18%, 97.62% and average specificity of 97.24%, 96.42% respectively. The clinical information yield with this approach is validated with the conventional immunohistochemistry result of wound to justify the ability of LSCI for in vivo, noninvasive and periodic assessment of wounds.


Mahindra Ecole Centrale(MEC), an Indo-French engineering college, hosted Sugata Mitra, an eminent educationist, on the campus for a talk on the "Future of Learning".

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