The National Institute of Technology Agartala, shortened to NIT Agartala or NITA, is a technology-oriented institute of higher education established by India's Ministry of Human Resource Development in Agartala, India. It was founded as Tripura Engineering College in 1965 and declared a National Institute of Technology in 2006. It is now the leading technical institute in the northeastern region of India after NIT Silchar and IIT Guwahati. It is considered a new institute in the family of NIT after NIT Jalandhar and NIT Hamirpur and is designated an Institute of National Importance by an act of parliament. As with all other National Institutes of Technology, admission to NITA is granted through the centrally organised Joint Entrance Examination.NIT agartala is one of the fastest developing NIT. Wikipedia.
Majumder A.,National Institute of Technology Agartala |
Laha D.,Jadavpur University
Materials Today: Proceedings | Year: 2017
The present study deals with the application of BFO for solving robotic cell problem. One of the major disadvantages of Passino invented BFO is its applicability constrains for solving problems except those contain continuous domain. Thus to make BFO applicable in robotic cell problem, Pairwise interchange mutation is chosen for tumbling and swimming operation during chemotaxis.While cyclic-shift neighbourhood mutation is used for random movement duringElimination-Dispersal. The example related to the two-machine robotic cell scheduling problem with sequence-dependent setup times (2RCSDST) was used to demonstrate the performance of the proposed discrete bacteria foraging algorithm. Large part sized problems varying from 200 to 500 part size was considered during this study. The computational results thus obtained were compared with two other existing optimization techniques and found BFO as the better performer to solve such large sized problems. © 2017 Elsevier Ltd.
Roy D.N.,National Institute of Technology Agartala |
Goswami R.,Ahmedabad University
Chemico-Biological Interactions | Year: 2016
Substances of abuse induce alteration in neurobehavioral symptoms, which can lead to simultaneous exacerbation of liver injury. The biochemical changes of liver are significantly observed in the abused group of people using illicit drugs or drugs that are abused. A huge amount of work has been carried out by scientists for validation experiments using animal models to assess hepatotoxicity in cases of drugs of abuse. The risk of hepatotoxicity from these psychostimulants has been determined by different research groups. Hepatotoxicity of these drugs has been recently highlighted and isolated case reports always have been documented in relation to misuse of the drugs. These drugs induce liver toxicity on acute or chronic dose dependent process, which ultimately lead to liver damage, acute fatty infiltration, cholestatic jaundice, liver granulomas, hepatitis, liver cirrhosis etc. Considering the importance of drug-induced hepatotoxicity as a major cause of liver damage, this review emphasizes on various drugs of abuse and addiction which induce hepatotoxicity along with their mechanism of liver damage in clinical aspect as well as in vitro and in vivo approach. However, the mechanisms of drug-induced hepatotoxicity is dependent on reactive metabolite formation via metabolism, modification of covalent bonding between cellular components with drug and its metabolites, reactive oxygen species generation inside and outside of hepatocytes, activation of signal transduction pathways that alter cell death or survival mechanism, and cellular mitochondrial damage, which leads to alteration in ATP generation have been notified here. Moreover, how the cytokines are modulated by these drugs has been mentioned here. © 2015 Elsevier Ireland Ltd
Roy S.,National Institute of Technology Agartala |
Banerjee R.,National Institute of Technology Agartala |
Bose P.K.,National Institute of Technology Agartala
Applied Energy | Year: 2014
The present study explores the potential of artificial neural network to predict the performance and exhaust emissions of an existing single cylinder four-stroke CRDI engine under varying EGR strategies. Based on the experimental data an ANN model is developed to predict BSFC, BTE, CO2, NOx and PM with load, fuel injection pressure, EGR and fuel injected per cycle as input parameters for the network. The study was carried out with 70% of total experimental data selected for training the neural network, 15% for the network's cross-validation and remaining 15% data has been used for testing the performance of the trained network. The developed ANN model was capable of predicting the performance and emissions of the experimental engine with excellent agreement as observed from correlation coefficients within the range of 0.987-0.999, mean absolute percentage error in the range of 1.1-4.57% with noticeably low root mean square errors. In addition to common correlation coefficients, the present study incorporated special statistical error and performance metrics such as mean square relative error, forecasting uncertainty Theil U2, Nash-Sutcliffe Coefficient of Efficiency and Kling-Gupta Efficiency. Low values of MSRE and Theil U2 combined with commendable indices of NSE and KGE proved beyond doubt the robustness and applicability of the model so developed. Furthermore, the developed ANN model was capable of mapping the PM-NOx-BSFC trade-off potential of the CRDI operation under EGR for all cases of actual observations with significant accuracy. © 2014 Elsevier Ltd.
Bhattacharjee S.,National Institute of Technology Agartala |
Acharya S.,National Institute of Technology Agartala
Energy Conversion and Management | Year: 2014
Solar and wind are clean energy sources with enormous potential to alleviate grid dependence. The paper aims to optimally harness the wind resource with the support of solar energy through hybrid technology for a north-east Indian state Tripura (low wind topography). Techno-economic analysis of a photovoltaic (PV)-wind hybrid simulation model has been performed for small scale application in an educational building. The study also evaluates the tangible performance of a similar plant in practical condition of the site. It has emerged from the study that major energy generation is turning out from PV segment which is promising almost all round the year. Nonetheless, a considerable amount of wind power is found to be generated during half of the year when average PV power production is comparatively less. The cost of electricity from the simulation model is found to be $0.488/kWh while renewable fraction in the total electricity share is obtained to be 0.90. From the actual performance of the plant, maximum wind penetration is observed to be 32.75%. © 2014 Elsevier Ltd. All rights reserved.
Ghosh S.,National Institute of Technology Agartala |
Prasad Sharma R.,National Institute of Technology Agartala
International Journal of Geomechanics | Year: 2012
Knowledge of seismic active earth pressure behind a rigid retaining wall and its point of application are very important to the design of retaining walls in earthquake-prone regions. This paper presents a detailed study on the seismic active earth pressure and its point of application behind a nonvertical, rigid retaining wall supporting inclined, cohesionless backfill, using pseudo-dynamic analysis that is more realistic to representing the time and phase difference within the backfill. A planar failure surface is considered in the analysis. The effects of soil and wall friction angle, wall and backfill surface inclination, and horizontal and vertical earthquake acceleration on the active earth pressure have been explored. Results are presented in both tabular and graphical nondimensional form, including comparison with other available methods to highlight the realistic nonlinearity of seismic active earth pressure distribution. © 2012 American Society of Civil Engineers.
Roy J.N.,National Institute of Technology Agartala |
Rakshit J.K.,National Institute of Technology Agartala
Optics Communications | Year: 2014
Recently there has been great interest in using the nonlinear property of optical micro-ring resonator for all-optical switching. An all-optical logic shifter circuit with the help of GaAs-AlGaAs based micro-ring resonator is proposed and described. In the present paper the advantages of ring resonator based switch have been exploited to design an integrated all-optical circuit which can perform the logical operations left shift, right shift, circular left shift and circular right shift. Numerical simulation results confirming described methods are given in this paper. © 2013 Elsevier B.V. All rights reserved.
Majumder A.,National Institute of Technology Agartala
Journal of Mechanical Science and Technology | Year: 2013
The present contribution describes an application of a hybrid approach using fuzzy logic and particle swarm optimization (PSO) for optimizing the process parameters in the electric discharge machining (EDM) of AISI 316LN Stainless Steel. In this study, each experimentation was performed under different machining conditions of pulse current, pulse on-time, and pulse off-time. Machining performances such as MRR and EWR were evaluated. A Taguchi L9 orthogonal array was produced to plan the experimentation and the regression method was applied to model the relationship between the input factors and responses. A fuzzy model was employed to provide a fitness function to PSO by unifying the multiple responses. Finally, PSO was used to predict the optimal process parametric settings for the multi-performance optimization of the EDM operation. The experimental results confirm the feasibility of the strategy and are in good agreement with the predicted results over a wide range of machining conditions employed in the process. © 2013 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.
Bhowmik A.R.,National Institute of Technology Agartala |
Chakraborty A.K.,National Institute of Technology Agartala
International Journal of Electrical Power and Energy Systems | Year: 2014
This article presents application of nondominated sorting multi objective gravitational search algorithm (NSMOGSA) for solution of different optimal power flow (OPF) problems. In NSMOGSA, the gravitational acceleration of the original gravitational search algorithm (GSA) is updated using a nondominated sorting concept. Fast elitist nondominated sorting and crowding distance have been used to locate and manage the Pareto optimal front. An external archive of the Pareto optimal solutions are also used to provide some elitism. The proposed method is employed for optimal adjustments of the power system control variables which involve continuous variables of the OPF problem. The efficacy of NSMOGSA has been tested on IEEE 30-bus system with four different objectives that reflect minimization of active power loss, total fuel cost, bus voltage deviation and enhancement of voltage stability. Simulation results are also compared with the results found by other techniques reported in the recent literature to show the algorithmic efficacy of NSMOGSA. The obtained results using NSMOGSA has also been tested on some standard benchmark functions to evaluate its potential. Numerical results reveal the tangible superiority of the proposed method in achieving the optimum solution. © 2014 Elsevier Ltd. All rights reserved.
Mandal T.K.,National Institute of Technology Agartala |
Parvin N.,National Institute of Technology Agartala
Journal of Biomedical Nanotechnology | Year: 2011
This work demonstrated a fluorescence measurement method for rapid detection of bacteria and their counting by using water-soluble carbon quantum dots (CQDs) as a fluorescence marker while sewage water bacteria were detection target bacteria. Highly luminescent water-soluble CQDs were prepared by carbonizing waste part of rice straw materials in a furnace under in-sufficient air flow. Bacteria in a LB media with <100 nm of water soluble CQDs were cultured for 30-40 minutes. The multi colored bacterial cell images were obtained by using fluorescence microscopy. Our results showed that CQDs prepared in water phase were highly luminescent, stable, and successfully conjugated with bacterial cell membrane only. Also we could count the total number of bacteria within a shortest time from any sample of environment. Copyright © 2011 American Scientific Publishers All rights reserved.
Ghosh S.,National Institute of Technology Agartala
Soil Dynamics and Earthquake Engineering | Year: 2010
Knowledge of seismic active earth pressure behind rigid retaining wall is very important. Commonly used Mononobe-Okabe method considers pseudo-static approach, which gives the linear distribution of seismic earth force. In this paper, the pseudo-dynamic approach, which considers the effect of primary and shear wave propagations, is adopted to calculate the seismic active force. Considering the planar rupture surface, the effect of wide range of parameters like inclination of retaining wall, inclination of backfill surface, wall friction and soil friction angle, shear wave and primary wave velocity, horizontal and vertical seismic coefficients are taken into account to evaluate the seismic active force. Results are presented in terms of seismic coefficients in tabular form and variation of pressure along the depth. © 2010 Elsevier Ltd.