Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

India is the cultivating country and our country is the biggest maker in agricultural products. So, we have to classify and exchange our agricultural products. Manual arranging is tedious and it requires works. The automatic grading system requires less time for grading of the agricultural products. Image processing technique is helpful in examination and evaluating the products. In this paper we proposed a vegetable disease detection system for recognizing diseased vegetables. Here we utilize the Image processing system for reviewing the vegetables. Vegetables are recognized dependent on their features. The features are color, shape, size, texture. We extract these features utilizing algorithms to distinguish the vegetables. We develop a recognition system for 2D input images. The main aim of this work is detecting infected vegetable based on features with K-means clustering algorithm. Algorithm includes three main steps namely enhancement, segmentation and classification. Vegetable samples are collected as images from high resolution camera and data acquisition is carried out for database preparation. The image segmentation process is based on pixel of the image and is applied to get the segmented and infected vegetables using K-Means Clustering algorithm. The image classification is based on Support Vector Machine (SVM) which perform supervised leaning for classification. © 2020 IEEE.

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

Department of Software Systems

School of Computer Science and Engineering

2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020

Vegetable Disease Detection Using K-Means Clustering and Svm

The Travelling Salesman Problem (TSP) is a very old yet very popular and highly researched topic. This problem has numerous solution paths, but to find the path with the least distance, we would have to check the combination of all different paths but that would increase the time to achieve the result. So, in our quest to solve the problem, we try to optimize the algorithms to give the best output that is the shortest path in the least number of iterations. There are various techniques to solve the Travelling Salesman Problem of which we will be using the two most popular techniques that are Particle Swarm Optimization (PSO), and Simulated Annealing (SA). In this paper, we perform a comparative analysis of these two algorithms on the basis of a number of iterations required to reach the optimum path. We have implemented the algorithms in Matlab, and run these algorithms on multiple sets of inputs and various number of inputs in each set. We will be comparing on the basis of number of iterations required for reaching the optimum solution. © BEIESP.

World University root node

International Journal of Innovative Technology and Exploring Engineering

Comparison of particle swarm optimization and simulated annealing applied to travelling salesman problem

In this paper, an effective system has been proposed for video transmission. This system solves the problems arised due to occurrence of errors in transmitted video and delivers video with required quality of services. The reconstructed video maintains the quality of services at the decoder side. Video dynamics-based error concealment algorithm is applied for recovering errors occurred during transmission. The performance of the proposed system is measured by means of simulations using JM reference software. © 2019 Inderscience Enterprises Ltd.

Department of Database Systems

International Journal of Advanced Intelligence Paradigms

An effective system for video transmission and error recovery mechanisms in multimedia networks

Decision support systems are used in solving both structured and unstructured problems. Decision support systems are used in various applications to solve problems varying from simple to complex type. The increase in technology growth has made us to think about the decision support system. The result and choice of the decisions made is to be accurate irrespective of the problem identified. In this paper, an overview of decision support system and its concepts have been discussed. © IAEME Publication.

International Journal of Mechanical Engineering and Technology

Decision support systems - An overview

Fault identification in any domain is a major challenge. Fault has to be identified in advance to prevent production problems. There are many image processing techniques used for fault identification and analysis. This paper presents a survey on various image processing approach for fault detection in various machines irrespective of domains. These techniques are used to retain the reliability of a system and prevent time delay. © IAEME Publication.

International Journal of Civil Engineering and Technology

A survey on fault detection techniques in different machines - an image processing approach

Phishing is an effort to get personal information like username, password and bank transaction details in order to hack our personal accounts, by hiding original sites in a web browser. Existing detection process uses a content based processing method to find the phishing attacks. This approach finds web spoofing by checking the matches between the original and spoofed web sites. Original site often change their websites for marketing purpose so the pattern of original websites need to be updated frequently which is not feasible. We propose a scheme which detects phishing attack by matching the user requested URLs with a database of blacklist and whitelist. The backlist holds the attack URL patterns and the white list hold the original URL patterns. We also create a user interaction based process to get approval of vulnerable URL and create a direct block list to detect the phishing attacks. © IAEME Publication

Preventing from phishing attack by implementing url pattern matching technique in web

Video quality is degraded by noise in various video processing stages which includes acquisition, encoding, decoding, transmission and others. Noise has to be reduced for video quality enhancements. This paper reviews on various video noise classification techniques. Based on the noise classification techniques examined, noise in video can be classified and removed with appropriate filters and hence video quality is improved. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

International Journal of Pharmacy and Technology

Classification of noise in video - A review

Video with error is a major problem to be minimized in multimedia networks. People are very much satisfied only when they view a video without error. Error video decreases the quality and make the user to feel inconvenient. In this paper, Error video are taken and modified block matching algorithm has been applied to the video. Errors are corrected with motion vector information for maintaining the video quality. © 2015 by Ceser Publications.

International Journal of Tomography and Simulation

Modified BMA for video reconstruction

Wireless network is one of the most commonly used network access to connect systems, mobile devices and other computer components. WIMNET is Wireless Internet-access Mesh Network which contains multiple access points to connect devices using real time application. By using tree topology structure we can get a better bandwidth as compared to line topology. Due to the use of multiple devices in tree or line topology, the evaluation of consumed bandwidth can be done more accurately using link share algorithm. In this algorithm, the network bandwidth is divided and allocated to different applications in an hierarchical manner which will make a link to share the available bandwidth. Using this shared link we can evaluate the bandwidth consumption using link share algorithm for improved accuracy. By using QualNet simulation, we get an accurate simulation result for evaluating the bandwidth consumption. © 2013 IEEE.

VIT Unitversity

2013 International Conference on Information Communication and Embedded Systems (ICICES)

A study on consumed bandwidth using link share algorithm

With enormous use of sensor network, the sensor applications was enfeeble by large data movements across the network owing to the intrinsic characteristics of resource-constrained sensors. This paper emphasizes on two issues such as accuracy and communication overhead, data aggregation is an effective way to reduce communication issues at lower level, to take important decisions and accuracy at final aggregation result. Next a model is predict from the extracted data using supervised learning at the upper level thus reduce the communication effort, the high dimensional reduction of the data mining task, then improving the accuracy of the sensing task.

International Journal of Engineering and Technology

A multi task boosting technique over sector based structure in wireless sensor network

Video Streaming has been used recently for various interactive services. Video Streaming is playing the content of the video in real time. Today's research is focused on video streaming through TCP. Regardless of the retransmission procedures, researchers focus on TCP Streaming due to its reliable service. This paper focuses more towards TCP Video Streaming and various congestion control algorithms used for video streaming. © 2005 - 2013 JATIT &amp; LLS. All rights reserved.