Compounded Uniqueness Level: Geo-Location Indexing Using Address Parser

Abstract :-
Geo-location searching is an important feature for any search engine and research in this field is not new. The only issue that remains is how a search engine know whether a web page belongs to India or the USA? URLs ending with [.in] are the ultimate choice for India but not all web sites from India end with [.in]. This paper describes a technology known as the address parser. The address parser searches for patterns in a web page that communicates address information. The address parser does not parse every web page of a website for extracting the address but only works on those URLs where the probability of finding an address of the website owner is maximum, thereby eliminating false positives. Continue reading Compounded Uniqueness Level: Geo-Location Indexing Using Address Parser

A Sensor Network Data Aggregation Technique

Abstract :-
Existing sensor network data aggregation techniques assume that the nodes are preprogrammed and send data to a central sink for offline querying and analysis. This approach faces two major drawbacks. First, the system behavior is preprogrammed and cannot be modified on the fly. Second, the increased energy wastage due to the communication overhead will result in decreasing the overall system lifetime. Thus, energy conservation is of prime consideration in sensor network protocols in order to maximize the network’s operational lifetime. Continue reading A Sensor Network Data Aggregation Technique

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