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Institution

Indian Institute of Technology Kharagpur

EducationKharagpur, India
About: Indian Institute of Technology Kharagpur is a education organization based out in Kharagpur, India. It is known for research contribution in the topics: Natural rubber & Dielectric. The organization has 16887 authors who have published 38658 publications receiving 714526 citations.


Papers
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Journal ArticleDOI
TL;DR: Intrafollicular zinc levels were higher in women with endometriosis who subsequently became pregnant following IVF and increased levels of ROS, NO, LPO, cadmium and lead were observed in Women who did not become pregnant compared to women who did.

133 citations

Journal ArticleDOI
TL;DR: In this paper, the ability of iron oxide coated cement (IOCC) to remove As(III) by sorption from solution was assessed and the effects of process parameters such as pH (3.2-12), agitation speed (50-250-rpm), contact time, initial As(3) concentration (0.7-13), and background ions (Ca 2+, Mg 2+, Fe 3+, SO 4 2−, PO 4 3−, Cl − and NO 3 − ) on As( III) uptake were investigated.

133 citations

Journal ArticleDOI
TL;DR: In this article, the degree of crystallinity, crystallite size, inter-chain separation and d-spacing were calculated from the experimental results, whereas crystal symmetry, space group, unit cell dimensions, agreement factors and molecular arrangement were derived using FullProf and FOX v. 1.7.

133 citations

Journal ArticleDOI
TL;DR: In this paper, the authors highlight the research work on the use of extrusion process technology to produce rice and rice-based products and highlight the effects of feed mixture composition or ingredients on physicochemical, textural, pasting, thermal and nutritional properties of the rice extrudates.
Abstract: Rice is one of the major cereal crops that act as an attractive material for the manufacture of ready-to-cook (RTC) products like pasta, noodles, ready-to-eat (RTE) breakfast cereals, modified starch, weaning foods, snack foods, pet foods, and dried soup, because of its colour, bland taste, flavour as well as good processing characteristics. Extrusion is the most versatile processing technology used in the food industry to develop the product having better nutritional, functional and sensory characteristics. This technique enables the control of the different processes like mixing, heating, cooking, shearing, and shaping of products. This review highlights the research work on the use of extrusion process technology to produce rice and rice-based products. The extrusion process parameters namely feed moisture, barrel temperature, screw speed, and feed rate markedly affect the product quality and their acceptability among consumers. Emphasis has been given on the effects of feed mixture composition or ingredients and the extrusion process parameters on physicochemical, textural, pasting, thermal and nutritional properties of the rice extrudates.

133 citations

Journal ArticleDOI
TL;DR: A new approach to pressure sensor modeling based on a simple functional link artificial neural network (FLANN) is proposed, which automatically compensates the effect of the associated nonlinearity to estimate the applied pressure.
Abstract: A new approach to pressure sensor modeling based on a simple functional link artificial neural network (FLANN) is proposed. The response of the sensor is expressed in terms of its input by a power series. In the direct modeling, using a FLANN trained by a simple neural algorithm, the unknown coefficients of the power series are estimated accurately. The FLANN-based inverse model of the sensor can estimate the applied pressure accurately. The maximum error between the measured and estimated values is found to be only /spl plusmn/2%. The existing techniques utilize ROM or nonlinear schemes for linearization of the sensor response. However, the proposed inverse model approach automatically compensates the effect of the associated nonlinearity to estimate the applied pressure. Frequent modification of the ROM or nonlinear coding data is required for correct readout during changing environmental conditions. Under such conditions, in the proposed technique, for correct readout, the FLANN is to be retrained and a new set of coefficients is entered into the plug-in module. Thus this modeling technique provides greater flexibility and accuracy in a changing environment. >

133 citations


Authors

Showing all 17290 results

NameH-indexPapersCitations
Rajdeep Mohan Chatterjee11099051407
Vijay P. Singh106169955831
Arun Majumdar10245952464
Sanjay Gupta9990235039
Biswajeet Pradhan9873532900
Sandeep Kumar94156338652
Jürgen Eckert92136842119
Praveen Kumar88133935718
Tuan Vo-Dinh8669824690
Lawrence Carin8494931928
Anindya Dutta8224833619
Aniruddha B. Pandit8042722552
Krishnendu Chakrabarty7999627583
Ramesh Jain7855637037
Thomas Thundat7862222684
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023284
2022849
20213,142
20202,907
20192,779
20182,489