Surat, India

The Sardar Vallabhbhai National Institute of Technology, Surat popularly known as National Institute of Technology,Surat, NIT,Surat or SVNIT, is an engineering institute of higher education established by the Parliament of India in 1961. It is one of 30 National Institutes of Technology in India recognized by the Government of India as an Institute of National Importance.It is the Anchor Institute for the Auto and Engineering sector and will be training the workforce. The project is also designated as the "Center of Excellence" in water resources and flood management and is supported by the World Bank.NIT Surat is a premier institute that was established to train scientists and engineers to cater to the country's growing need for R&D and technological manpower. It shares its organizational structure and undergraduate admission process with sister NITs. The students and alumni of NIT Surat are informally referred to as SVNITians. The institute offers undergraduate, postgraduate and Doctoral courses in Engineering and Technology, Science, Humanities and Management.The institute organizes annual cultural and technical festivals: MindBend , Sparsh and Autumnfest as well as IGNIS that attract participants from all over the country and abroad. Wikipedia.


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Jadhav H.T.,Sardar Vallabhbhai National Institute of Technology, Surat | Roy R.,Sardar Vallabhbhai National Institute of Technology, Surat
Expert Systems with Applications | Year: 2013

The current energy consumption in most of the countries is weighing heavily on fossil fuels, which account for about 70-90% of total energy used. The ecological concerns about air pollution and global warming are encouraging wider use of clean renewable technologies such as wind and solar energy. In this paper, Gbest guided artificial bee colony algorithm (GABC) is applied to optimize the emission and overall cost of operation of wind-thermal power system. The random nature of wind power is modeled using weibull probability distribution function (PDF). Moreover, the uncertainty in wind power is considered in the cost model by including the power imbalance terms such as overestimation and underestimation costs of available wind power. To validate the effectiveness of proposed method, it is first applied to three standard test systems considering different technical constraints such as valve loading effect, prohibited zones, ramp rate limits, etc. In second part, the effect of wind power generation on dispatch cost and emission is analyzed for IEEE-30 bus test system. A comparative analysis with other similar optimization techniques reveals that the proposed technique has better solution accuracy and convergence results. © 2013 Elsevier B.V. All rights reserved.


Jacobson K.,University of Saskatchewan | Maheria K.C.,Sardar Vallabhbhai National Institute of Technology, Surat | Kumar Dalai A.,University of Saskatchewan
Renewable and Sustainable Energy Reviews | Year: 2013

Fuels from biomass (biofuels) are used to mitigate the greenhouse gases produced through the utilization of fossil fuels. Non-edible or waste biomass can be pyrolyzed to produce bio-oil. The oil, an unstable and low energy product, can be further upgraded through hydrodeoxygenation to produce gas and/or diesel range hydrocarbons and value added chemicals. The objective of this review is to explore upgrading techniques that are currently being researched and utilized. This review reveals several aspects that in turn will serve as an aid for bio oil valorization, such as, evaluating characterization techniques involved in understanding salient features of bio-oil, insight of bio-oil pretreatment methods for water removal to increase heating values and decrease risk of catalyst poisoning in subsequent hydroprocessing, studies regarding model compound upgrading, reaction mechanism and finally, provides brief review of common catalysts for hydrotreatment of bio-oil in order to yield value added chemicals and fuels. Crown Copyright © 2013 Published by Elsevier Ltd .All rights reserved.


Patil S.K.,Sardar Vallabhbhai National Institute of Technology, Surat | Kant R.,Sardar Vallabhbhai National Institute of Technology, Surat
Applied Soft Computing Journal | Year: 2014

Knowledge management (KM) adoption in the supply chain (SC) needs high investment as well as few changes in culture of entire SC. This study proposes a prediction framework based on the fuzzy decision-making trail and evaluation laboratory (DEMATEL) and fuzzy multi-criteria decision-making (FMCDM) for KM adoption in SC. This study first identifying the evaluation criteria of KM adoption in SC from literature review and expert opinion. Further, it uses fuzzy DEMATEL to evaluate weighting of each evaluation criteria's, after that FMCDM method uses to obtain possible rating of success of KM adoption in SC. The proposed approach is helpful to predict the success of KM adoption in SC without actually adopted KM in SC. It also enables organizations to decide whether to initiate KM, restrain adoption or undertake remedial improvements to increase the possibility of successful KM adoption in SC. This prominent advantage can be considered as one of the contribution of this paper. This proposed approach demonstrated with empirical case of a hydraulic valve manufacturing organization in India. © 2014 Elsevier B.V.


Venkata Rao R.,Sardar Vallabhbhai National Institute of Technology, Surat | Kalyankar V.D.,Sardar Vallabhbhai National Institute of Technology, Surat
Engineering Applications of Artificial Intelligence | Year: 2013

Modern machining processes are now-a-days widely used by manufacturing industries in order to produce high quality precise and very complex products. These modern machining processes involve large number of input parameters which may affect the cost and quality of the products. Selection of optimum machining parameters in such processes is very important to satisfy all the conflicting objectives of the process. In this research work, a newly developed advanced algorithm named 'teaching-learning-based optimization (TLBO) algorithm' is applied for the process parameter optimization of selected modern machining processes. This algorithm is inspired by the teaching-learning process and it works on the effect of influence of a teacher on the output of learners in a class. The important modern machining processes identified for the process parameters optimization in this work are ultrasonic machining (USM), abrasive jet machining (AJM), and wire electrical discharge machining (WEDM) process. The examples considered for these processes were attempted previously by various researchers using different optimization techniques such as genetic algorithm (GA), simulated annealing (SA), artificial bee colony algorithm (ABC), particle swarm optimization (PSO), harmony search (HS), shuffled frog leaping (SFL) etc. However, comparison between the results obtained by the proposed algorithm and those obtained by different optimization algorithms shows the better performance of the proposed algorithm. © 2012 Elsevier Ltd. All rights reserved.


Venkata Rao R.,Sardar Vallabhbhai National Institute of Technology, Surat | Patel V.,Sardar Vallabhbhai National Institute of Technology, Surat
Engineering Applications of Artificial Intelligence | Year: 2013

Teaching-learning-based optimization (TLBO) is a recently developed heuristic algorithm based on the natural phenomenon of teaching-learning process. In the present work, a modified version of the TLBO algorithm is introduced and applied for the multi-objective optimization of a two stage thermoelectric cooler (TEC). Two different arrangements of the thermoelectric cooler are considered for the optimization. Maximization of cooling capacity and coefficient of performance of the thermoelectric cooler are considered as the objective functions. An example is presented to demonstrate the effectiveness and accuracy of the proposed algorithm. The results of optimization obtained by using the modified TLBO are validated by comparing with those obtained by using the basic TLBO, genetic algorithm (GA), particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms. © 2012 Elsevier Ltd. All rights reserved.


Sahoo S.K.,Sardar Vallabhbhai National Institute of Technology, Surat | Sharma D.,Sardar Vallabhbhai National Institute of Technology, Surat | Bera R.K.,Sant Longowal Institute of Engineering And Technology | Crisponi G.,University of Cagliari | Callan J.F.,University of Ulster
Chemical Society Reviews | Year: 2012

Iron is one of the most important elements in metabolic processes, being indispensable for all living systems and therefore it is extensively distributed in environmental and biological materials. However, both its deficiency and excess from the normal permissible limit can induce serious disorders. Therefore, several analytical techniques have been adopted for the detection of iron. Among the various techniques used for its detection, the method based on fluorescent sensors has received considerable interest in recent years because of its ability to provide online monitoring of very low concentrations without any pre-treatment of the sample together with the advantages of spatial and temporal resolution. In this article, efforts have been made to review the various molecular and supramolecular fluorescent sensors that have been developed for the selective detection of iron(III). © 2012 The Royal Society of Chemistry.


Patil S.K.,Sardar Vallabhbhai National Institute of Technology, Surat | Kant R.,Sardar Vallabhbhai National Institute of Technology, Surat
Expert Systems with Applications | Year: 2014

The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Supply Chain (SC) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify and rank the solutions of KM adoption in SC and overcome its barriers. The AHP is used to determine weights of the barriers as criteria, and fuzzy TOPSIS method is used to obtain final ranking of the solutions of KM adoption in SC. The empirical case study analysis of an Indian hydraulic valve manufacturing organization is conducted to illustrate the use of the proposed framework for ranking the solutions of KM adoption in SC to overcome its barriers. This proposed framework provides a more accurate, effective and systematic decision support tool for stepwise implementation of the solutions of KM adoption in SC to increase its success rate. © 2013 Elsevier Ltd. All rights reserved.


Jadhav H.T.,Sardar Vallabhbhai National Institute of Technology, Surat | Roy R.,Sardar Vallabhbhai National Institute of Technology, Surat
International Journal of Electrical Power and Energy Systems | Year: 2013

As a result of the growing demand for electricity and environmental constraints, the generation of electrical energy from renewable sources of energy has increased recently. The renewable energy sources, especially wind power plants are integrated to power networks all around the world. The rising share of wind turbine energy, in the existing power system, has created new opportunities and challenges. For wind turbine energy generation doubly fed induction generators are most suitable due to their various advantages over fixed speed wind turbine systems. These generators have ability to improve stability and power quality of the existing power systems. Therefore more attention has been paid by many researchers recently to address various challenges of grid connection of DFIG. A comprehensive survey, of different issues associated with integration of DFIG based system into the grid is presented in this paper. © 2012 Elsevier Ltd. All rights reserved.


Rathod M.K.,Sardar Vallabhbhai National Institute of Technology, Surat | Banerjee J.,Sardar Vallabhbhai National Institute of Technology, Surat
Renewable and Sustainable Energy Reviews | Year: 2013

Successful utilization of the latent heat energy storage system depends considerably on the thermal reliability and stability of the phase change materials (PCMs) used. Thermal stability of phase change material can be established by measuring the thermo-physical properties of the PCM after a number of repeated thermal cycles. A comprehensive knowledge of thermal stability of the PCMs as functions of number of repeated thermal cycles is essential to ensure the long-term performance and economic feasibility of the latent heat storage systems. In this paper, a detailed review is reported for thermal stability of different groups of PCMs. The PCMs are categorized as organic (paraffins and non-paraffins), inorganic (salt hydrates and metallics) and eutectics (organic eutectics and inorganic eutectics). Further, a broad database of different PCMs is developed for which thermal cycling tests were carried out by different researchers and reported in the literature. Some conclusions are derived after critical evaluation of thermal stability of different groups of PCMs. This review will assist to identify the most reliable PCM to be used for a particular application of latent heat energy storage system. © 2012 Elsevier Ltd. All rights reserved.


Rao R.V.,Sardar Vallabhbhai National Institute of Technology, Surat | Savsani V.J.,Sardar Vallabhbhai National Institute of Technology, Surat | Vakharia D.P.,Sardar Vallabhbhai National Institute of Technology, Surat
Information Sciences | Year: 2012

An efficient optimization method called 'Teaching-Learning-Based Optimization (TLBO)' is proposed in this paper for large scale non-linear optimization problems for finding the global solutions. The proposed method is based on the effect of the influence of a teacher on the output of learners in a class. The basic philosophy of the method is explained in detail. The effectiveness of the method is tested on many benchmark problems with different characteristics and the results are compared with other population based methods. © 2011 Elsevier Inc. All rights reserved.

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