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Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.


Papers
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Journal ArticleDOI
01 Mar 2021-Silicon
TL;DR: In this paper, a photonic crystal based micro-ring resonator (MRR) structure is proposed which is very compact in size and has very fast response and is employed for temperature sensing purpose.
Abstract: In the present report, a photonic crystal based micro-ring resonator (MRR) structure is proposed which is very compact in size and has very fast response and is employed for temperature sensing purpose. Temperature sensing application for both the single MRR and cascaded MRR is illustrated in this paper. The sensitivity of the reported structure is increased from 2.9 nm/°C to 3.4 nm/°C by cascading two MRR. The refractive index of the material is subjected to change with the variation in temperature which results in the shift of the resonant wavelength of the proposed sensor. The finite difference time domain (FDTD) simulation is utilized to see the transmission spectrum of the proposed structure and analyzing the shift in the resonance wavelength the temperature is calculated. The proposed design is simple, reliable and may be integrated into different transducer and sensing applications.

33 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used sisal fiber to enhance the weak mechanical properties of lightweight concrete, such as compressive strength, split tensile strength, flexural strength, elastic modulus and impact resistance.
Abstract: The construction industry is largely dependent on concrete as a construction material. The aggregate occupies a major volume of concrete. However, the continuous extraction of granite rock for coarse aggregate leads to the increase in demand of natural resources of future generations. In this study, coconut shell, an agricultural waste, is used to replace conventional aggregate in concrete for producing coconut shell lightweight concrete. To enhance the weak mechanical characteristics of lightweight concrete, various contents of sisal fibre at 1%, 2%, 3% and 4% have been added on the basis of the binder’s weight. Mechanical properties, such as compressive strength, split tensile strength, flexural strength, elastic modulus and impact resistance, were examined. Results showed that the compressive strength increased by up to 6% when 3% fibre was added. An improvement in split tensile strength of 14%, flexural strength of 11% and modulus of elasticity of 6% was observed when a maximum of 3% fibre was added. Impact resistance was also excellent after the addition of sisal fibre. Thus, coconut shell concrete with sisal fibre is considered as a suitable and eco-friendly construction material alternative for the construction industry.

33 citations

Journal ArticleDOI
TL;DR: In this article, a variable frequency pendulum isolator (VFPI) has been developed for vibration control of a five-storey structure with equipment mounted at its top, and the performance of the example structure with VFPI has been compared with other frictional systems such as friction pendulum system (FPS) and pure friction (PF) system.

33 citations

Journal ArticleDOI
TL;DR: In this article, the tensile strength of plain woven fabrics has been predicted by using two empirical modelling methods namely artificial neural network (ANN) and linear regression, which were able to predict the fabric strength with reasonably good precision although ANN model demonstrated higher prediction accuracy and generalization ability than the regression model.
Abstract: Aesthetic properties of fabrics have been considered as the most important fabric attribute for years. However, recently there has been a paradigm shift in the domain of textile material applications and consequently more emphasis is now being given on the mechanical and functional properties of fabrics rather than its aesthetic appeal. Moreover, in certain woven fabrics used for technical applications, strength is a decisive quality parameter. In this work, tensile strength of plain woven fabrics has been predicted by using two empirical modelling methods namely artificial neural network (ANN) and linear regression. Warp yarn strength, warp yarn elongation, ends per inch (EPI), picks per inch (PPI) and weft count (Ne) were used as input parameters. Both the models were able to predict the fabric strength with reasonably good precision although ANN model demonstrated higher prediction accuracy and generalization ability than the regression model. The warp yarn strength and EPI were found to be the two most significant factors influencing fabric strength in warp direction.

33 citations

Journal ArticleDOI
TL;DR: In this paper, two seaweed species, the brown Sargassum wightii and the green Halimeda gracilis, were investigated using five solvents of varying polarity (acetone, chloroform, methanol, ethanol, and water).

33 citations


Authors

Showing all 4481 results

NameH-indexPapersCitations
Rajesh Kumar1494439140830
Sanjeev Kumar113132554386
Rakesh Kumar91195939017
Praveen Kumar88133935718
V. Balasubramanian5445710951
Ghulam Murtaza53100514516
Marimuthu Govindarajan522126738
Muhammad Akram433937329
Ghulam Abbas404396396
Shivaji H. Pawar391684754
Muhammad Afzal381184318
Deepankar Choudhury351993543
Hidayat Hussain343165185
Hitesh Panchal341523161
Sher Singh Meena331873547
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202227
2021991
2020797
2019477
2018486
2017437