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Ahmadabad, India

Gujarat Technological University, commonly referred as GTU, is a statewide institution affiliating many esteemed engineering, pharmacy, and management colleges and varsities across the western Indian Districts of Gujarat.The university is headed by the state government and came into existence on the 16th of May, 2007 .Earlier, Gujarat University was the prime university of Gujarat state heading all colleges including technical colleges. To ensure more efficient, and systematic imparting of technical education, the state government formulated GTU. GTU declares results all around from February to April for winter exams and all around from June to August of summer exams. Wikipedia.

Savsani P.,Pacific Academy of Higher Education and Research | Jhala R.L.,Gujarat Technological University | Savsani V.,Pandit Deendayal Petroleum University
Applied Soft Computing Journal | Year: 2014

Hybridization in optimization methods plays a very vital role to make it effective and efficient. Different optimization methods have different search tendency and it is always required to experiment the effect of hybridizing different search tendency of the optimization algorithm with each other. This paper presents the effect of hybridizing Biogeography-Based Optimization (BBO) technique with Artificial Immune Algorithm (AIA) and Ant Colony Optimization (ACO) in two different ways. So, four different variants of hybrid BBO, viz. two variants of hybrid BBO with AIA and two with ACO, are developed and experimented in this paper. All the considered optimization techniques have altogether a different search tendency. The proposed hybrid method is tested on many benchmark problems and real life problems. Friedman test and Holm-Sidak test are performed to have the statistical validity of the results. Results show that proposed hybridization of BBO with ACO and AIA is effective over a wide range of problems. Moreover, the proposed hybridization is also effective over other proposed hybridization of BBO and different variants of BBO available in the literature. © 2014 Elsevier B.V. Source

Desai D.P.,Gujarat Technological University
International Conference on Computing, Communication and Automation, ICCCA 2015 | Year: 2015

The present paper discusses the design criteria of hardware interpolator for improving its speed of generating overflow pulses. The interpolators are being used widely in many applications, its performance evaluation & improvement becomes very significant. The design criteria discussed in this paper is experimentally verified for efficiency improvement and implemented on the CNC machine tool system. © 2015 IEEE. Source

Solanki S.,Symbiosis International University | Sheth J.H.,Gujarat Technological University
Indian Journal of Marketing | Year: 2015

India is the world's second largest producer of food next to China and has the potential of being the largest food producer in the world. The food processing industry is the fifth largest industry in India in terms of production, consumption, export, and expected growth. Among the various sectors of the food-processing industry, the ready to eat food products industry is growing at the fastest pace of 30 % p.a. There are nearly 100 international, national, and local players already operating in the industry, and equal numbers of players are likely to enter in the market in the coming years due to its huge growth potential. Ready to eat food products being products of low involvement category, a little differentiation exists among the products produced by various players of the industry so as to differentiate their products. To differentiate their products, one of the most prominent tools used in the industry is packaging. The companies make use of various packaging elements to differentiate their products. This study was undertaken to analyze the influence of nutritional information provided on the packages of ready to eat food products on the product evaluation and buying behavior of consumers in Rajkot. © 2015. Source

Patel S.K.,Gujarat University | Kosta Y.,Gujarat Technological University
Journal of Electromagnetic Waves and Applications | Year: 2013

In this paper, we have reported a truncated square microstrip patch antenna loaded with double negative material and conventional dielectric material. Metamaterials exhibit qualitatively new electromagnetic response functions that cannot be found in the nature. The inclusion of these structures allows simultaneous operation over several frequencies. We have designed an antenna loaded with metamaterial to work in three bands in the frequency range of 0.5-2.0 GHz. The designed antenna loaded with metamaterial has three working frequency bands. We have shown a comparative analysis of this metamaterial loaded antenna with conventional antenna. The designed antenna loaded with metamaterial has several wireless applications. Design results are obtained by high frequency structure simulator, which is used for simulating microwave passive components. © 2013 Taylor & Francis. Source

Patel V.K.,Gujarat Technological University | Savsani V.J.,Pandit Deendayal Petroleum University
Information Sciences | Year: 2014

This paper presents an efficient multi-objective improved teaching-learning based optimization (MO-ITLBO) algorithm for solving multi-objective optimization problems. The proposed algorithm uses a grid-based approach in order to keep diversity in the external archive. Pareto dominance is incorporated into the MO-ITLBO algorithm in order to allow this heuristic to handle problems with several objective functions. The qualities of the solution are computed based on the Pareto dominance notion. The performance of the MO-ITLBO algorithm is assessed by applying it on a set of standard test problems proposed for the Congress on Evolutionary Computation 2009 (CEC 2009) competition. The results obtained using the proposed algorithm is compared with the other state-of-the-art algorithms available in the literature. Moreover, the performance of the MO-ITLBO algorithm is also compared with the multi-objective version of the basic teaching-learning based optimization algorithm (MO-TLBO). The statistical analysis of the experimental work is also carried out by conducting Friedman's rank test and Holm post hoc procedure. The results show that the proposed approach is competitive and effective compared to other algorithms contemplated in this work and it can also find the result with greater precision. © 2014 Elsevier Inc. All rights reserved. Source

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