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.
News Article | April 17, 2017
Driverless cars are hitting the headlines across the globe but for the foreseeable future we will still have drivers. The pressure then is how might some of the safety features of driverless cars be incorporated into conventional vehicles? Writing in the International Journal of Vehicle Autonomous Systems, researchers from India describe a real-time automatic obstacle detection and alert system for driver assistance. Sachin Sharma and Dharmesh Shah of the Department of Electronics & Communication, at Gujarat Technological University, in Ahmedabad, India, point out that an increased incidence of road crashes in their country correlates with increasing wealth and the surge in vehicle numbers this development has wrought. They add that road infrastructure is not keeping pace with traffic demands especially in roads connecting villages and towns. Moreover, on busy, imperfect roads, the Indian cow represents a significant obstacle that must also be taken into account. Safety, security and comfort are generally considered important to vehicle design with performance, fuel economy and other factors also considered in terms of how marketable a given vehicle will be. However, road traffic collisions are the leading cause of death of people between the ages of 15 and 29 years old, according to the World Health Organization, is road traffic collisions. Technology to reduce this grave incidence should be a high priority of vehicle design. India has the second largest road network in the world and 1 in 20,000 people die there in a road traffic accident, 12 in 70,000 are seriously injured in such accidents. Sharma and Shah's collision alert system uses a dashboard camera and an algorithm that can determine whether an object near the vehicle is an on-road cow and whether or not its movements represent a risk to the vehicle. A timely audio or visual indicator can then be triggered to nudge the driver to apply the brakes whether or not they have seen the animal. The algorithm requires optimization and the issue of night-time driving is yet to be addressed, the team says. Sharma, S. and Shah, D. (2017) 'Real-time automatic obstacle detection and alert system for driver assistance on Indian roads', Int. J. Vehicle Autonomous Systems, Vol. 13, No. 3, pp.189-202.
Daxini S.D.,Gujarat Technological University |
Prajapati J.M.,M. S. University of Baroda
Structural and Multidisciplinary Optimization | Year: 2017
In the product development process, structural optimization plays vital role because it deals with size, shape and topology of the structures. However, structural performance greatly depends on its geometric shape and hence structural shape optimization has remained one of the most active research areas since early 1970s. Conventional parametric shape optimization technique employs grid-based numerical tools like FEM and BEM for structural analysis, which experiences some innate limitations like mesh distortion and frequent remeshing, element locking and poor approximation while dealing with large shape changes during the optimization process. Meshless Methods (MMs) can alleviate these issues when used as a structural analysis tool in shape optimization. In last two decades, MMs have been explored for structural shape optimization along with various deterministic and stochastic optimization algorithms. The objective of present work is twofold, first is to review advanced parametric shape optimization techniques which are based on MMs like Element Free Galerkin (EFG) method and Reproducing Kernel Particle Method (RKPM) for linear elastic, thermoelastic, hyperelastic, frictional contact and structure dynamics optimization problems and second is to emphasize benefits of meshless techniques in shape optimization. Based on the review, the article presents some critical observations including Design Sensitivity Analysis (DSA) in meshless environment, numerical integration techniques in MMs and benefits of coupled FEM-MM approach in shape optimization. At the end, promising future research directions in shape optimization field based on MMs are presented along with concluding remarks. © 2017 Springer-Verlag Berlin Heidelberg
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.
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.
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.
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.
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.
Patel M.M.,Gujarat Technological University |
Aggarwal A.,Gujarat Technological University
2013 International Conference on Intelligent Systems and Signal Processing, ISSP 2013 | Year: 2013
Wireless Sensor Network (WSN) is being emerged as a prevailing technology in future due to its wide range of applications in military and civilian domains. These networks are easily prone to security attacks, since once deployed these networks are unattended and unprotected. Some of the inherent features like limited battery and low memory make sensor networks infeasible to use conventional security solutions. There are lot of attacks on these networks which can be classified as routing attacks and data traffic attacks. Some of the data attacks in sensor nodes are wormhole, jamming, selective forwarding, sinkhole and Sybil attack. In this paper, we discussed about all these attacks and some of the mitigation schemes to defend these attacks. © 2013 IEEE.
Raj A.H.,Gujarat Technological University
NUiCONE 2015 - 5th Nirma University International Conference on Engineering | Year: 2015
The Inspection of the closed environment may be relevant for improving security and efficiency in industrial plants, These specific operation as inspection, maintenance, cleaning etc. are expensive, thus the application of the robots appears to be one of the most attractive solutions. Recently, in industry duct and ventilation becomes old and many inspection robots were developed in the past. Wired robots put to practical use, but they required heavy power supply. Therefore, a new inspection robot using a wireless communication system is considered useful for inspection of complex and long distance closed environment. A lot of trouble caused by air duct and ventilation like crack, leak and mechanical damage. This Paper describes the development and implementation of inspection robot mounted with an intelligent sensor. In a closed environment, human cannot enter for inspection. So, the main goal was to develop a small inspection robot which can autonomously navigation inside closed environment and measure defect like cracks, leak, mechanical damage and places of the defects inside closed environment. It provides useful information through wireless Zigbee for maintenance. At user end another Zigbee has been received these information and use this information for displayed on GUI. © 2015 IEEE.
Bhonsle D.C.,Gujarat Technological University |
Kelkar R.B.,M. S. University of Baroda
Energy | Year: 2016
Rapid growth of non-linear loads in distribution network has attracted power system engineers' attention from power quality point of view. Electric arc furnace (EAF) is one of the typical industrial non-linear loads responsible for deteriorating the power quality in the distribution network by introducing harmonics, propagating voltage flicker and causing unbalance in voltages and currents. Therefore, the EAF model is required to be studied and the power quality required to be analyzed in the distribution network. This paper presents a novel time domain EAF model to study power quality problems. The proposed model is a combination of two previous EAF models called-exponential and hyperbolic model-using transition functions. The functioning of the proposed model has been validated by comparing its various performance characteristics with the existing Cassie-Mayr's EAF model and with real measured data available. Current harmonics, voltage harmonics along with voltage flickers are considered as power quality problems for study and analysis. Simulation is carried out in SIMULINK/MATLAB environment. © 2016 Elsevier Ltd