Efficient Job Scheduling in Grid Computing with Modified Artificial Fish Swarm Algorithm

Abstract :-
one of the open issues in grid computing is efficient job scheduling. Job scheduling is known to be NP-complete, therefore the use of non-heuristics is the de facto approach in order to cope in practice with its difficulty. In this paper, we propose a modified artificial fish swarm algorithm (MAFSA) for job scheduling. The basic idea of AFSA is to imitate the fish behaviors such as preying, swarming, and following with local search of fish individual for reaching the global optimum. Continue reading Efficient Job Scheduling in Grid Computing with Modified Artificial Fish Swarm Algorithm

Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance

Abstract :-
In medical image processing, image denoising has become a very essential exercise all through the diagnose. Arbitration between the perpetuation of useful diagnostic information and noise suppression must be treasured in medical images. In general we rely on the intervention of a proficient to control the quality of processed images. In certain cases, for instance in Ultrasound images, the noise can restrain information which is valuable for the general practitioner. Continue reading Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance

An Executable Packer

An Executable Packer

Abstract :-
This thesis addresses the topic of development and advancement of the Packer technology. It aims to prove that with the implementation of advanced code encryption and cryptographic techniques in conjunction with standard packing methods, testing binaries with anti-virus will become increasingly difficult.
Study on this topic reveals that the idea of encoding data has already been established, but it is still not fully incorporated into a technique to pack an executable file. Continue reading An Executable Packer

Novel Genetic Algorithm for Static Task Scheduling in Distributed Systems

Novel Genetic Algorithm for Static Task Scheduling in Distributed Systems

Abstract :-
The static task scheduling problem in distributed systems is very important because of optimal usage of available machines and accepted computation time for scheduling algorithm. Solving this problem using the dynamic programming and the back tracking needs much more time. Therefore, there are more attempts to solve it using the heuristic methods. In this paper, a new genetic algorithm, named TDGASA, is presented which its running time depend on the number of tasks in the scheduling problem. Continue reading Novel Genetic Algorithm for Static Task Scheduling in Distributed Systems

Model-Controller Interfacing using Struts-Based Web Application

Model-Controller Interfacing using Struts-Based Web Application

Abstract :-
StrutsHib IDE is an IDE for interfacing the model and controller of a MVC architecture based applications. It is developed using Java-based technologies such as the Struts framework, Hibernate and jQuery. The StrutsHib IDE is a web application. This project implements the part of StrutsHib IDE that makes it easy to create model and controller components. Moreover, it automates the process of database creation for web applications which means the user does not have to be a database expert when dealing with databases. Finally, StrutsHib IDE takes all the advantages of a web-based application and provides lot of flexibility to the users.

Author:- Deepti Bhardwaj

Source:-San Jose State University