Cloud computing is a collection of heterogeneous virtualized resources that can be accessed on-demand to service applications. Scheduling large and complex workflows becomes a challenging issue in cloud computing with a requirement that the execution time as well as cost incurred by using a set of heterogeneous cloud resources should be minimizes simultaneously. In this ...

Data mining is an important research area in computer science. It is a computational process of determining patterns in large data. Image mining is one of important techniques in data mining, which involved in multiple disciplines. Image classification refers the tagging the images into a number of predefined sets. It’s also includes image preprocessing, feature ...

In this paper, the authors review dynamic distribution of storage resources among the users in data processing centers. The process of changing memory usage state was revealed to be the process of Markov. The paper proposes the development of stochastic model of the memory and computing usage distribution and the development of probability density functions ...

This paper presents an optimized speech compression algorithm using discrete wavelet transform, and its real time implementation on fixed-point Digital Signal Processor (DSP). The optimized speech compression algorithm presents the advantages to ensure low complexity, low bit rate and achieve high speech coding efficiency and this by adding a Voice Activity Detector (VAD) module before ...

Evidently, the results of a face recognition system can be influenced by image illumination conditions. Regarding this, the authors proposed a system using wavelet-based contourlet transform normalization as an efficient method to enhance the lighting conditions of a face image. Particularly, this method can sharpen a face image and enhance its contrast simultaneously in the ...

In this paper, the authors propose a hybrid classifier using fuzzy clustering and several neural networks has been proposed. With using the fuzzy C-means algorithm, training samples will be clustered and the inappropriate data will be detected and moved to another dataset (removed-dataset) and used differently in the classification phase. Also, in the proposed method ...

Intrusion Detection Systems (IDS) aim at detecting attacks against computer systems and networks or, in general, against information systems. Its basic aim is to protect the system against malwares and unauthorized access of a network or a system. Intrusion detection is of two type Network-IDS (NIDS) and Host based-IDS (HIDS). This paper covers the scope ...

The representation task in time series data mining has been a critical issue because the direct manipulation of continuous, high-dimensional data is extremely difficult to complete efficiently. One time series representation approach is a symbolic representation called the Symbolic Aggregate approXimation (SAX). The main function of SAX is to find the appropriate numbers of alphabet ...

Simulations and prototyping have been a very important part of the electronics industry since a very long time. In recent years, FPGA’s have become increasingly important and have found their way into all kind of digital system design This paper presents a novel, easy and efficient approach of implementation and verification of VHDL code using ...

These days cloud computing is booming like no other technology. Every organization whether it’s small, mid-sized or big, wants to adapt this cutting edge technology for its business. As cloud technology becomes immensely popular among these businesses, the question arises: which cloud model to consider for the users business? There are four types of cloud ...