Volume 3 Number 1 February 2012

    
Load Balancing as a Strategy Learning Task

K. Kungumaraj, T. Ravichandran

https://doi.org/

Abstract A distributed system consists of independent workstations connected usually by a local area network. Load Balancing system puts forward to a new proposal to balance the server load in the distributed system. The load balancing system is a set of substitute buffer to share the server load, when their load exceeds its limit. The proposed technique gives an effective way... Read More


A Max Metric to Evaluate a Cluster

Hosein Alizadeh, Hamid Parvin, Sajad Parvin, Zahra Rezaei, Moslem mohamadi

https://doi.org/

Abstract In this paper a new criterion for clusters validation is proposed. This new cluster validation criterion is used to approximate the goodness of a cluster. The clusters which satisfy a threshold of the proposed measure are selected to participate in clustering ensemble. To combine the chosen clusters, some methods are employed as aggregators. Employing this new cluster validation criterion, the... Read More


Information Access Influence in Science and Technology Productivity

Sulaiman Alreyaee

https://doi.org/

Abstract Al Imam Muhammed Bin Saud University, Riyadh Saudi Arabia... Read More


LPC-based Narrowband Speech Steganography

Driss Guerchi, Emad Mohamed

https://doi.org/

Abstract This paper proposes a new speech steganography system for secure sound massages sharing. This system exploits the advancements in speech processing to hide efficiently secret speech in narrowband cover speech. Linear predictive coding is used to represent the secret speech with reduced number of parameters. These parameters are embedded in selective perceptually-irrelevant frequency locations of the cover speech. Objective and... Read More


Application of SVM Based Optimization Algorithm in Medical Images Processing

Huiyan Jiang, Lingbo Zou

https://doi.org/

Abstract Medical image processing is a very significant area of research as it has far reaching impact in health system. For pattern recognition, the Support vector machine is applied increasingly. The parameters selection plays a significant role in support vector machine(SVM). Through this research we have introduced a better scalable parameter optimization method based on traditional PSO optimizing algorithm by changing... Read More