Time filter

Source Type

Patel N.J.,Shri Sad Vidya Mandal Institute of Technology | Jhaveri R.H.,Shri Sad Vidya Mandal Institute of Technology
Procedia Computer Science | Year: 2015

Vehicular Ad-hoc networks (VANETs) require trusted vehicles to vehicles communication. VANET is multidimensional network in which the vehicles continuously change their locations. Secure routing is imperative during the routing process to incorporate mutual trust between these nodes. Sometimes, the malicious node broadcast the bogus information among other nodes. Establishing trust is a challenge while one or more malicious nodes attempt to disrupt route discovery or data transmission in the network. A lot of research has been carried out for secure routing process with trust-based approaches. In this paper, we present survey of various mechanisms to improve different ad-hoc routing protocols for secure routing process by enhancing the trust among different nodes in VANETs. © 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.


Patel K.N.,Shri Sad Vidya Mandal Institute of Technology | Jhaveri R.H.,Shri Sad Vidya Mandal Institute of Technology
Procedia Computer Science | Year: 2015

Mobile Ad hoc Network (MANET) can be said as a collection of mobile nodes, which builds a dynamic topology and a A resource constrained network. In this paper, we present a survey of various testbeds for Mobile Ad hoc Networks. Emulator provides environment without modifications to the software and validates software solutions for ad hoc network. A field test will show rather the simulation work is going on right track or not and going from the simulator to the real thing directly to analyze the performance and compare the results of routing protocols and mobility models. Analyzing and choosing an appropriate emulator according to the given environment is a time-consuming process. We contribute a survey of emulation testbeds for the choice of appropriate research tools in the mobile ad hoc networks. © 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.


Mistry H.P.,Shri sAd Vidya Mandal Institute of Technology | Mistry N.H.,Shri sAd Vidya Mandal Institute of Technology
ICIIECS 2015 - 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems | Year: 2015

In this growing world, widespread and easily available use of mobile and portable devices such as, laptops, PDAs etc., the mobile ad hoc networks are receiving more attention for connectivity between these devices in real time. Ant Colony optimization routing is an adaptive and efficient for MANETs. Now a days, routing in mobile ad hoc networks (MANETs) is a very challenging and growing issue because of its dynamic nature and decentralization infrastructure. Various routing protocols have been proposed for MANETs but results in limited bandwidth, high throughput, end-to-end delay, packet delivery ratio and more energy consumptions etc. An ant colony optimization algorithms have good techniques for developing different routing algorithms for MANETs. The reactive routing protocols like, AODV and DSR using Ant Colony optimization are review in this paper. © 2015 IEEE.


Solanki S.K.,Shri Sad Vidya Mandal Institute of Technology | Patel J.T.,Shri Sad Vidya Mandal Institute of Technology
International Conference on Advanced Computing and Communication Technologies, ACCT | Year: 2015

Task of extracting useful and interesting knowledge from large data is called data mining. It has many aspects like clustering, classification, association mining, outlier detection, regression etc. Among them association rule mining is one of the important aspect for data mining. Best example of association rule mining is market-basket analysis. Applications of association rule mining are stock analysis, web log mining, medical diagnosis, customer market analysis bioinformatics etc. In past, many algorithms were developed by researchers for Boolean and Fuzzy association rule mining such as Apriori, FP-tree, Fuzzy FP-tree etc. We are discussing them in detail in later section of this paper. © 2015 IEEE.


Kantharia K.J.,Shri Sad Vidya Mandal Institute of Technology | Prajapati G.I.,Shri Sad Vidya Mandal Institute of Technology
International Conference on Advanced Computing and Communication Technologies, ACCT | Year: 2015

Human facial behaviour recognition can be defined as the process of identifying human internal feelings or mood from the classification of facial expression and gesture. Human facial expression and gesture recognition have a many real world applications such as Human Machine Intelligent Interaction (HMII), Smart rooms, Advance Driver Assistance Systems (ADAS), Intelligent Robotics, Monitoring and Surveillance, Gaming, Research on pain and depression, Health support appliances. Facial Expression Recognition is challenging problem up till now because of many reasons, moreover, it consists of three sub challenging tasks face detection, facial feature extraction and expression classification. Soft computing is a computer science field that applies to the problem whose solution is unpredictable or inexact. Digital image processing works effectively together with soft computing techniques to improve efficiency of recognizing human facial behaviour through machine. This paper gives a review on the mechanisms of human facial behavior recognition using soft computing techniques, which includes a brief detail on framework, literature survey and key issues in facial behaviour recognition using soft computing. © 2015 IEEE.


Dixit P.,Shri Sad Vidya Mandal Institute of Technology | Prajapati G.I.,Shri Sad Vidya Mandal Institute of Technology
International Conference on Advanced Computing and Communication Technologies, ACCT | Year: 2015

Machine learning is the adaptive process that makes computers improve from experience, by example, and by analogy. So It is a discipline of methodologies that provides, in one form or another, intelligent information processing capabilities for handling real life. Bioinformatics is one of the application of Machine Learning. Bioinformatics is the interdisciplinary science of interpreting biological data using information technology and computer science. Machine learning (ML) focuses on automatic learning from data set. Machine learning includes the learning speed, the guarantee of convergence, and how the data can be learned incrementally. We usually refer to methods like Artificial Neural Networks (ANNs), Genetic algorithms (GAs), and Fuzzy systems along with hybrid methods including a combination of some of these methods. One of the major problems is to classify the normal genes and the invalid genes which are infected by some kind of diseases. In genomic research, classifying DNA sequences into existing categories is used to learn the functions of a new protein. So, it is important to identify those genes and classify them. In order to identify the infected genes and the normal genes with the use of classification methods here we use the machine learning techniques. This paper gives a review on the mechanisms of gene sequence classification using Machine Learning techniques, which includes a brief detail on bioinformatics, literature survey and key issues in DNA Sequencing using Machine Learning. © 2015 IEEE.


Mistry H.P.,Shri Sad Vidya Mandal Institute of Technology | Mistry N.H.,Shri Sad Vidya Mandal Institute of Technology
International Conference on Advanced Computing and Communication Technologies, ACCT | Year: 2015

Wireless Sensor Networks (WSNs) are most growing research area because of its low cost, infrastructure less, increase capabilities of nodes, real time and accurate. Localization is a major issue in the wireless sensor networks because it has a number of sensor nodes which are deployed at positions and they may not be fixed at their own position. In localization different techniques are used for distance and position estimation. In this paper we will focus on RSSI based localization in WSN which will show how to reduce location errors and improve accuracy by using various models and techniques. After that we will focus on how to make an algorithm scalable and improve the energy efficiency by providing authentication and key management. © 2015 IEEE.


Gohil R.D.,Shri sAd Vidya Mandal Institute of Technology | Mistry N.H.,Shri sAd Vidya Mandal Institute of Technology
International Conference on Electrical, Electronics, Signals, Communication and Optimization, EESCO 2015 | Year: 2015

A video texture is nothing but a continuous, infinitely varying stream of video images. It is a sequence of images with visual pattern repetition in spatial and time domain, like river flow, smoke, fire, clouds, water fall, and windy grass field etc. The simplest way of producing a video texture is to synthesize it from a finite set of images by randomly rearranging (and possibly blending) original frames from source video which plays a vital role in computer vision and computer graphics. The algorithms for synthesizing video textures that have proposed over the past one decade have been surveyed here. A variety of algorithms associated with synthesized video textures are analyzed. There are two incompatible goals for video texture synthesis that need to be accomplished: (a) the synthesized and the input texture have visual similarity and (b) temporal coherence and motion consistency or evolution of the video texture. The video texture generated must be in desired flow with respect to time. © 2015 IEEE.


Chauhan P.C.,Shri sAd Vidya Mandal Institute of Technology | Prajapati G.I.,Shri sAd Vidya Mandal Institute of Technology
International Conference on Electrical, Electronics, Signals, Communication and Optimization, EESCO 2015 | Year: 2015

Image processing is mostly used in every area. The basic 2D shape refers to identify a location and register components of a particular object. The goal of basic 2D object detection is to identify the basic geometric shape of object present in image. In real world, Shape detection use in many area like developing intelligent system, face recognition, facial expression recognition, in medical. It uses some techniques and algorithms to detect object from the given image. This paper reviews the recent edge detection and shape recognition techniques also survey the techniques for edge detection and shape recognition that have proposed over the past decades. Edge detection and shape recognition is a challenging research topic to increase the richness of image processing area. © 2015 IEEE.


Modi A.J.,Shri Sad Vidya Mandal Institute of Technology | Gosai D.C.,Shri Sad Vidya Mandal Institute of Technology
SAE International Journal of Fuels and Lubricants | Year: 2010

Energy conservation and efficiency have been the quest of engineers concerned with internal combustion engine. Theoretically, if the heat rejected could be reduced, then the thermal efficiency would be improved, at least up to the limit set by the second law of thermodynamics. Low Heat Rejection engines aim to do this by reducing the heat lost to the coolant. For current work a ceramic coated twin cylinder water-cooled diesel engine using blends of diesel and palm biodiesel as the fuel was evaluated for its performance and exhaust emissions. In recent years, Considerable efforts were made to develop and introduce alternative renewable uel, toreplace conventional petroleum-base fuels. Here, the diesel engine was insulated by Partially Stabilized Zirconia (PSZ) as ceramic material attaining an adiabatic condition. The cycle average gas temperature and metal surface temperature are higher in adiabatic engine. For the present study the biodieselwas prepared in laboratory from non-edible vegetable oil (Palm oil) by transesterification process with methanol, where potassium hydroxide (KOH) was used as a catalyst. An experimental investigation of the performance of a ceramic coated engine was carried out with palm bio-diesels and its blends, the results were compared to the experiment done with the conventional petroleum diesel. Multi cylinder vertical water cooled self-governed diesel engine, piston, top surface of cylinder head and liners were fully coated with Partially Stabilized Zirconia (PSZ). Experimental test set-up was developed in laboratory. The stationary diesel engine was run in laboratory at a medium speed, variable load condition experienced in most urban driving conditions and various measurements like fuel flow, exhaust temperature, exhaust emission measurement and exhaust smoke test were carried out. The results indicate improved fuel economy and reduced pollution levels for the Thermal Barrier Coated (TBC) engine. The fuel properties of biodiesel such as kinematic viscosity, calorific value, flash point, carbon residue and specific gravity were found. Results indicated that Bio-diesels had lower brake thermal efficiency mainly due to its high viscosity compared to diesel. For biodiesel fuel, the exhaust gas temperature increased with increase in power and amount of biodiesel. However, during performance test it showed reasonable efficiencies, lower smoke, SO2, PM (particulate matter) and CO with some increase in emission of oxides of nitrogen. Biodiesel also increased efficiency in reducing particulate emissions. Regulated emissions and performance data were generated, and a detailed emission was performed. Fuel properties were close to the standard limit for diesel fuel. The use of palm biodiesel resulted in lower emissions of unburned hydrocarbons, carbon monoxide, and particulate matter, with some increase in emissions of oxides of nitrogen. © 2010 SAE International.

Loading Shri Sad Vidya Mandal Institute of Technology collaborators
Loading Shri Sad Vidya Mandal Institute of Technology collaborators