Welcome to Journal of Theoretical and Applied Information Technology

Author:

Source:

Abstract

Multi-player games are engaging because of social interaction and competing with real players. Currently, many digital games are multi-player or have multi-player features. When evaluating the playability of multi-player games, we need to consider fairness of interactions. This paper develops a mobile distributed system for dependable mobile games over WLANs , meeting the requirements of fairness, scalability, responsiveness and equilibrium.

Author:

Source:

Abstract

Web services are rapidly changing the landscape of software engineering. One of the most interesting challenges introduced by web services is represented by Quality of Service (QoS) _aware composition and late binding. This allows to bind, at run-time, a service oriented system with a set of services that, among those providing the required features, meet some nonfunctional constraints, and optimize criteria such as the overall cost or response time. In other words, QoS_aware composition can be modeled as an optimization problem. We propose to adopt Genetic Algorithms to this aim. In order to increase the performance of genetic algorithm we use Tabu search. By using Tabu search ultimately a kind of composition is selected which is in close connection with user wants.

Author:

Source:

Abstract

This paper attempt has been made to explain a fuzzy commitment scheme with McEliece scheme because the efficiency and security of this cryptosystem is comparatively better than any other cryptosystem. Since this scheme is one of the interesting candidates for post quantum cryptography. Hence our interest to deal this system with fuzzy commitment scheme .

Author:

Source:

Abstract

This paper introduces an analysis of the phenomena of stability of synchronous machines under small perturbations by examining the case of a single machine connected to a large system through external impedance, and uses robust control H∞ techniques to design stabilizer for electric power system. H∞ techniques that are used are H∞ -optimal controller synthesis, H∞ - mixed sensitivity controller synthesis and H∞- loop shaping controller synthesis.

Author:

Source:

Abstract

This paper defines the usage of our randomized algorithm in web personalization area. The web personalization is performing under four techniques the handicraft decision technique, hyperlink-based technique, content-based filtering, and collaborative filtering. In our paper we are considering these technique for improve our proxy server�s performance. The proposed item specifies the implementation of randomized algorithm is for the website managers establish decision rules according to the statistics of users or session history. So the required files are filtered in an efficient manner according to our algorithm, moreover from this algorithm we improve our system�s efficiency, frequency and memory.

Author:

Source:

Abstract

This paper used error back propagation algorithm and regression analysis to analyze and predict untranslated and translated Nigeria Stock Market Price (NSMP). Nigeria stock market prices were collected for the periods of seven hundred and twenty days and grouped into untranslated and translated train, validation and test data. A zero mean unit variance transformation was used to normalize the input variables in order to allow the same range which makes them to differ by order of magnitude. A 5-j-1 network topology was adopted because of five input variables in which variable j was determined by the number of hidden neurons during network selection. The untranslated and translated data served as input into the error back propagation algorithm and regression model which were written in Java Programming Language. The results of both untranslated and translated statements were analyzed and compared. The performance of translated NSMP using regression analysis or error back propagation was more superior than untranslated NSMP. The results also showed that percentage prediction accuracy of error back propagation model on untranslated NSMP ranged for 11.3% while 2.7% was for translated NSMP. The 2.7% percent accuracy as against 11.3% indicates the relative stability of translated NSMP prediction as against untranslated NSMP. The mean relative percentage error was very low in all hidden topologies of error back propagation of translated NSMP than untranslated NSMP. This indicates that translated NSMP prediction approach was superior to untranslated NSMP predicition.

Author:

Source:

Abstract

Recently there has been significant advances in the use of wavelet network methods in various data mining processes, With the extensively application of many databases and sharp development of Internet, The capacity of utilizing information technology to fabricate and collect data has improved greatly. It is an imperative problem to mine useful information or knowledge from large databases or data warehouses. Therefore, data mining technology is urbanized rapidly to meet the need. But data mining often faces so much data which is raucous, disorder and nonlinear. Providentially, ANN is suitable to solve the before-mentioned problems of DM because ANN has such merits as good vigor, flexibility, parallel-disposal, distributing-memory and high tolerating error. This paper gives a detailed discussion about the relevance of ANN method used in DM based on the analysis of all kinds of data mining technology, and especially lays stress on the categorization Data Mining based on RBF neural networks. Pattern classification is an important part of the RBF neural network function. Under on-line environment, the training dataset is variable, so the batch learning algorithm which will generate plenty of surplus retraining has a lower efficiency. an suitable metric for imbalanced data is applied as a filtering technique in the context of Nearest Neighbor rule, to improve the classification accuracy in RBF and MLP neural networks This paper deduces an incremental learning algorithm from the gradient descend algorithm to improve the blockage. ILA can adaptively adjust parameters of RBF networks driven by minimizing the error cost, without any surplus retraining. Using the method projected in this paper, an on-line cataloging system was constructed to resolve the IRIS classification problem.

Author:

Source:

Abstract

Facility location selection problem is a variant of set covering problem. Set covering problem is a classical problem in computer science and complexity theory. In this paper two different techniques are applied to facility location problems. First, a mathematical model of facility location is introduced and solved by using optimization solver, TORA. Secondly, the balas additive algorithm of branch and bound techniques is used to solve the facility location problem. Tests were made using real life data from a city in Nigeria. We then observed that both algorithms indicate the same number of fire stations in different locations. Also the results obtained by applying and implementing balas additive were more explanatory by specifying the names of the locations where the facilities are to be located and the names of the locations to be served by each of the facilities

Author:

Source:

Abstract

For companies maintaining direct contact with large numbers of customers, however, a growing number channel-oriented applications (e.g. e-commerce support, call center support) create a new data management challenge: that is effective way of integrating enterprise applications in real time. To learn from the past and forecast the future, many companies are adopting Business Intelligence (BI) tools and systems. Companies have understood the importance of enforcing achievements of the goals defined by their business strategies through business intelligence concepts. It describes the insights on the role and requirement of real time BI by examining the business needs. The paper explores the concepts of BI, its components, emergence of BI, benefits of BI, factors influencing BI, technology requirements, designing and implementing business intelligence, and various BI techniques.

Author:

Source:

Abstract

This overview gives the basic concept, defines the terms used in the industry, and outlines the general architecture and applications of Cloud computing. It gives a summary of Cloud Computing and provides a good foundation for understanding.

Author:

Source:

Abstract

Cryptography nowadays is looking for a secure and trusted channel especially in key distribution between two legitimate parties without being intercepted or decipher by intruders either in wireless or wired communication medium. The invention of Quantum Cryptography as part of quantum mechanics has solves the key distribution’s problem in cryptosystem by providing a secure communication channel between two parties with absolute security guaranteed by the laws of physics. Quantum Key Distribution (QKD) as a new method in key distribution used to transmit secret key between two legitimate parties. This paper will discuss the implementation of BB84 protocol in UDP 802.11i Wireless Local Area Network (WLAN). WLAN as a wireless links are much noisier and less reliable in general than wired links. This type of noise will generate different numbers of key length and also different level of error rate estimation.