The International Arab Journal of Information Technology 

About: The International Arab Journal of Information Technology is an academic journal published by Zarqa University. The journal publishes majorly in the area(s): Computer science & Artificial intelligence. It has an ISSN identifier of 1683-3198. It is also open access. Over the lifetime, 1569 publications have been published receiving 12674 citations. The journal is also known as: IAJIT.

Comparisons Between Data Clustering Algorithms.

Abstract: Clustering is a division of data into groups of similar objects. Each group, called a cluster, consists of objects that are similar between themselves and dissimilar compared to objects of other groups. This paper is intended to study and compare different data clustering algorithms. The algorithms under investigation are: k-means algorithm, hierarchical clustering algorithm, self-organizing maps algorithm, and expectation maximization clustering algorithm. All these algorithms are compared according to the following factors: size of dataset, number of clusters, type of dataset and type of software used. Some conclusions that are extracted belong to the performance, quality, and accuracy of the clustering algorithms.

A Survey on Fault Injection Techniques

Abstract: Fault tolerant circuits are currently required in several major application sectors. Besides and in complement to other possible approaches such as proving or analytical modeling whose applicability and accuracy are significantly restricted in the case of complex fault tolerant systems, fault-injection has been recognized to be particularly attractive and valuable. Fault injection provides a method of assessing the dependability of a system under test. It involves inserting faults into a system and monitoring the system to determine its behavior in response to a fault. Several fault injection techniques have been proposed and practically experimented. They can be grouped into hardware-based fault injection, software-based fault injection, simulation-based fault injection, emulation-based fault injection and hybrid fault injection. This paper presents a survey on fault injection techniques with comparison of the different injection techniques and an overview on the different tools.

Cloud task scheduling based on ant colony optimization.

Abstract: Cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial implementation of these computer science concepts. One of the fundamental issues in this environment is related to task scheduling. Cloud task scheduling is an NP-hard optimization problem, and many meta-heuristic algorithms have been proposed to solve it. A good task scheduler should adapt its scheduling strategy to the changing environment and the types of tasks. In this paper a cloud task scheduling policy based on ant colony optimization algorithm compared with different scheduling algorithms FCFS and round-robin, has been presented. The main goal of these algorithms is minimizing the makespan of a given tasks set. Ant colony optimization is random optimization search approach that will be used for allocating the incoming jobs to the virtual machines. Algorithms have been simulated using Cloudsim toolkit package. Experimental results showed that the ant colony optimization outperformed FCFS and round-robin algorithms.

A Modified High Capacity Image Steganography Technique Based on Wavelet Transform

Abstract: Steganography is the art and science of concealing information in unremarkable cover media so as not to arouse an eavesdropper's suspicion. It is an application under information security field. Being classified under information security, steganography will be characterized by having set of measures that rely on strengths and counter measures (attacks) that are driven by weaknesses and vulnerabilities. Today, computer and network technologies provide easy,to,use communication channels for steganography. The aim of this paper is to propose a modified high,capacity image steganography technique that depends on wavelet transform with acceptable levels of imperceptibility and distortion in the cover image and high level of overall security.

A Fuzzy Approach to Energy Optimized Routing for Wireless Sensor Networks

Abstract: In recent years, many approaches and techniques have been explored for the optimization of energy usage in wireless sensor networks. Routing is one of these areas in which attempts for efficient utilization of energy have been made. These attempts use fixed (crisp) metrics for making energy-aware routing decisions. In this paper, we present a generalized fuzzy logic based approach for energy-aware routing in wireless sensor networks. This generalized approach is soft and tunable and hence it can accommodate sensor networks comprising of different types of sensor nodes having different energy metrics.