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Your search keyword '"Gourav Chakraborty"' showing total 8 results
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8 results on '"Gourav Chakraborty"'

1. Variety-based physical characterization and pre-gelatinization-induced functional-rheological changes in kidney beans

Author

Jasjot Kaur, Rashmi Singh, Radhika Bansal, Srishti Upadhyay, Shivani Desai, Yogesh Kumar, Gourav Chakraborty, Monika Satankar, and Vijay Singh Sharanagat

Subjects
Kidney beans, Physical characterization, Pre-gelatinization, Functional-pasting properties, FTIR analysis, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456
Abstract

Abstract In the present study, three varieties of kidney beans (Red Rajma (RR), Rajma Chitra (RC), and Rajma Sharmili (RS)) were physically characterized and the effect of pre-gelatinization by microwave and hot water on functional and pasting properties of flour were studied. A significant difference was observed in the physical properties of all the kidney beans, indicating that they can be easily characterized and identified based on physical properties. Pre-gelatinization treatment led to variation in color, functional and pasting properties of flours. Color parameters L*, b*, chroma, and hue values reduced with the treatment, whereas a* and total color difference ( $$\Delta$$ Δ E) values increased. Water absorption capacity (WAC) and oil absorption capacity (OAC) varied in the range of 1.15–1.91% and 1.25–1.75% for microwave and hot water treatment, respectively. The highest value of WAC and OAC was observed for microwave-treated RC and hot water-treated RR, respectively. WAC increases with both treatments, whereas OAC increases only with water bath cooking. Functional group analysis (FTIR) showed no major peaks shifting in water bath treatment, whereas a slight deflation of certain peaks was observed in the case of microwave treatment. Pasting curves showed a significant reduction in peak and final viscosity after pre-gelatinization treatment; however, none of the samples showed any breakdown during cooking. Graphical Abstract

Published
2024
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2. Effect of novel blanching methods on Infra-red drying characteristics and quality attributes of elephant foot yam

Author

Shivani Desai, Srishti Upadhyay, Gourav Chakraborty, Tanmay Yadav, Swaraj, Chandan Kumar, Yogesh Kumar, Jeevakiran Banoth, Lochan Singh, and Vijay Singh Sharanagat

Subjects
Elephant foot yam, Infra-red drying, Chemo-physical pre-treatments, Drying kinetics, Quality analysis, Calcium Oxalate, Food processing and manufacture, TP368-456
Abstract

The present study evaluated the effect of various pre-treatments (Potassium metabisulphite (KMS), KMS+Ultrasonication (KMSUS), KMS+Microwave (KMSMW), KMS+Hot water (KMSHWB) followed by infrared drying on the quality of Elephant Foot Yam (EFY). KMSMW-treated samples showed the fastest drying rate and highest moisture diffusivity, whereas the KMS-treated sample had the highest weight gain (171.57 %) in rehydration (80 °C). KMSMW and KMSHWB-treated samples exhibited softer textures in rehydration compared to control. Pre-treated samples had higher water absorption capacity and lower oil absorption capacity compared to the control. Pre-treatments also influenced the amylose content and the highest amylose content was observed for KMSUS (21.25 %). Pre-treatments positively influenced the retention of bioactive compounds and reduced the calcium oxalate (117.37 mg/g to 64.09 mg/g). Among all the pre-treatments, KMSHWB showed higher retention of bioactive compounds viz., TPC (297.67 mg GAE/100 g), TFC (922.22 mg QE/100 g), DPPH scavenging activity (57.91 %), ABTS (1.42 mmol TE/100 g) and lowest calcium oxalate (64.09 mg/100 g).

Published
2024
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5. Effect of Spacer Group Variation of Gemini Surfactants on the Detachment of Oil from Silica Surfaces with Different Hydrophobicity: A Molecular Dynamics Study

Author

Gourav Chakraborty, Keka Ojha, Ajay Mandal, and Niladri Patra

Abstract

Supplementary Information for manuscript "EFFECT OF SPACER GROUP VARIATION OF GEMINI SURFACTANTS ON THE DETACHMENT OF OIL FROM SILICA SURFACES WITH DIFFERENT HYDROPHOBICITY: A MOLECULAR DYNAMICS STUDY" by Gourav Chakraborty, Keka Ojha, Ajay Mandal, Niladri Patra,Department of Chemistry and Chemical Biology, Indian Institute of Technology (ISM) Dhanbad, Dhanbad - 826004, India andDepartment of Petroleum Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad - 826004, India. Email: npatra2@iitism.ac.in

Published
2023
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7. Text Extraction From Image Using MATLAB

Author

Gourav Chakraborty, Saradindu Panda, and Sangita Roy

Subjects
Maximally stable extremal regions, business.industry, Computer science, Search engine indexing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Optical character recognition, Object (computer science), computer.software_genre, Image (mathematics), Identification (information), Canny edge detector, Computer vision, Artificial intelligence, business, computer, Image restoration
Abstract

The goal of this paper is for extricating the text present in image and identify the text written using MATLAB programming language. Text Extrication from image and recognition as a whole have enormous relevance from the point of view of application, like content-based image restoration, document indexing and identification. Moreover, this triggers vast advanced systems. This work is focusing on detecting text in an image. To find a special sign in a natural image is sometimes frustrating. By using this method, it is easy to identify this type of object in an image like traffic sign, using Optical Character Recognition (OCR). Automatic task detection algorithms help to identify such situations in an image and highly efficient. It also uses Canny Edge Detection to discover the boundaries of the text present in the image from the Maximally Stable Extremal Regions (MSER).

Published
2020
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8. Comparative Analysis of 6-T SRAM Cell in Terms of Power Using CMOS and DGMOS

Author

Srabani Das, Saradindu Panda, and Gourav Chakraborty

Subjects
CMOS, Computer science, Dynamic demand, MOSFET, Hardware_INTEGRATEDCIRCUITS, Electronic engineering, Electronic design automation, Hardware_PERFORMANCEANDRELIABILITY, Static random-access memory, Integrated circuit design, Hardware_LOGICDESIGN, Voltage, Power (physics)
Abstract

As we know for current industry, downscaling of MOSFET is a very essential factor, but due to downscaling, the performance of MOS degrades. For robust design, it is very much required to downscale the MOS length keeping the performance of MOSFET intact. The multigate MOS model has been introduced for keeping the MOS performance intact as well as reducing the channel length. In this paper, the comparison of 6-T single bit SRAM cell has been done using single-gate MOS and double-gate MOS in terms of power using CMOS technology and 90-nm channel length in SYMICA environment. SYMICA is an electronic design automation (EDA) tool for the analog and mixed-signal integrated circuit design. In this paper, we have simulated CMOS and DGMOS SRAM cell and compare the power dissipation of DGMOS SRAM cell and CMOS SRAM cell. It proves that the dynamic power consumption of DGMOS SRAM cell is much smaller than CMOS SRAM cell for a particular input voltage and channel length.

Published
2019
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