International Journal of Computer Science and Engineering

1-20

Authors: Mohammed Jawar Khami

In steganography, there are many hiding techniques to do the job of data hiding. These techniques differ from each other either by the applied hiding approach or by the used cover object. From the cover object side view, and even though text documents are unavoidable form of information communication among humans, researches on text hiding techniques are less in contrast to other cover object’s techniques. This is due to that text documents have relatively less number of features that can be used to hide data in comparison with other cover object types. In this paper, new text hiding approach is proposed, written in algorithms form, and then coded in mat lab (m-files). Text hiding technique used in this work has many advantages over other existing text-in-text hiding techniques. These advantages include the usage of Arabic or Arabic-English mixed cover text with the aids of two of the non-printing Unicode characters. Also applying new hiding rules concerning Arabic writing system. The cover text classified into groups of Arabic letters each with specific features and thus hiding text in between letters from these groups must controlled by these new text hiding rules. Mat lab programs for embedding and extracting the secret text, according to the new approach, are tested and the outputs have been found very satisfying. Both secret and cover text have the same original format and text configuration.

31-36

Authors: Mohammad Haroon & Umesh Prasad

One assesses of adequacy of a broadly useful conveyed distributed system is the system's capacity to commend a level of execution similar to the level of variety of assets present in the system. Various methodologies and measurements of execution have been proposed trying to Effectuate this objective in existing systems. Adscititious, similar to issue plans exist in different fields, for example, control hypothesis, operations research, and generation administration. Be that as it may, because of the wide assortment of ways to deal with his issue, it is hard to seriously look at changed systems since there is no uniform means for subjectively or quantitatively assessing them. It is hard to effectively expand after existing work or recognize ranges deserving of extra exertion without some comprehension of the connections between past endeavors. A two-pass scheduling calculation in parallel and appropriated PC systems is introduced in this paper. We consider this calculation as a complex of two phases: prepare line arrangement and task technique. Another approach of both stages acknowledgment is proposed. Our calculation can be utilized to build the effectiveness of static and element Scheduling.

45 - 58

Authors: S. MARIA WENISCH

The difficulty in knowledge integration lies in the methodology of integration of knowledge between the various knowledge holders and brokers. Each knowledge holder is incomplete in one self and thus can become a major weakness in achieving a higher knowledge level. An integrated approach is the best practice of knowledge management system. Integration is viewed in terms of horizontal and vertical dimensions. The study presents the possibility of knowledge sharing and integration between experts in a multilevel multi criteria scenario using a cognitive psychological model of knowledge discovery called Johari Window model for knowledge sharing. The advantage of this model is that it takes the problem of ‘the fourth quadrant’, into its account where very large totally unexplored unpredicted outliers lie. It also brings a participatory approach to the knowledge management. For the implementation of the model, star, random, and complete knowledge network topologies were considered. The models have been evaluated using a social network analysis tool ORA. Among the three topologies of knowledge networks, for implementing the Johari model, the complete topology of knowledge network has been proved to be the best model in a knowledge sharing scenario for an efficient knowledge management strategy.