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Game-related education within mobile learning spheres is a matter of great debate for university students across the globe. It is the case that programming languages often pose a sizeable challenge for university students. This research paper aims to develop a game based learning platform “iPlayCode”, designed to offer a new and exciting method of learning programming language. Xcode 5.0.2 was used to develop the game by using the cocos2d-x development tool and the Adobe Photoshop graphic design tool. In addition, iOS 7.0.3 (11B508) Simulator was used to test the application and the application was deployed in different models of mobile devices such as the iPhone and iPad. The application outcomes are presented by a mobile game that teaches programming languages in an easy, attractive and effective way.

The paper describes the process of modelling domain knowledge of Information Science (IS) by creating an Ontology of Information Science domain (OIS). It also reports on the life cycle of the ontology building process using Methontology, based on the IEEE standard for development software life cycle process, which mainly consists of: specification, conceptualization, formalization, implementation, maintenance and evaluation. The information resource used in acquisition and evaluation has been obtained from Information Science. The conceptualization consists of identifying IS concepts and grouping them into a hierarchy tree based on a faceted classification scheme. The OIS ontology is formalized by using the ontology editor Protégé to generate the ontology code. The achieved result is OIS ontology which has fourteen facets: Actors, Method, Practice, Studies, Mediator, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Tool, Time and Space. The model is evaluated using ontology quality criteria to check the ontology’s usefulness, and how it could be transferred into application ontology for Information Science education.

Condition monitoring of a gearbox is a very\ud important activity because of the importance of gearboxes in\ud power transmission in many industrial processes. Thus there\ud has always been a constant pressure to improve measuring\ud techniques and analytical tools for early detection of faults in\ud gearboxes. This study forces on developing gearbox monitoring\ud methods based on operating parameters which are available in\ud machine control processes rather than using additional\ud measurements such as vibration and acoustics used in many\ud studies. To utilise these parameters for gearbox monitoring,\ud this paper examines a model based approach in which a data\ud model has been developed using a General Regression Neural\ud Network (GRNN) to captures the nonlinear connections\ud between the electrical current of driving motor and control\ud parameters such as load settings and temperatures based on a\ud two stage helical gearbox power transmission system. Using the\ud model a direct comparison can be made between the measured\ud and predicted values to find abnormal gearbox conditions of\ud different gear tooth breakages based on a threshold setup in\ud developing the model.

Bioinformatics is a new science that is glowing out in the recent years. It is a multidisciplinary science that is made out of different kinds of other scientific fields like biology, computer science, chemistry, statistics, mathematics and others. It was a big challenge for researchers to describe this new field in a systematic scientific way and bring out the attention of its applications and services; one of these important services that Bioinformatics can be applied in, is the cancer studies, research and therapies for many beneficial reasons. This paper will give a clear glance overview of bioinformatics, its definition, aims, applications, technologies, the large amount of data produced in the biological field and how bioinformatics can organize, analyze and store them, discuss some algorithms that can be implemented over bioinformatics data, and how to apply bioinformatics to discover and diagnose diseases like cancer.

Engineering dataset has growing rapidly in size and diversities with data acquisition technology development in recent years. However the full use of the datasets for maximizing machine operation and design has not been investigated systematically because of the complexity of datasets and large scale of data amount. This also means that traditional statistical data analysis methods are no longer the efficient methods to obtain useful knowledge from the dataset. Therefore this study will focus on applying more advanced data minting technologies and optimizing database systems so that more accurate and efficient knowledge can be extracted from engineering datasets for machine performance and condition monitoring. For the first year study, a full understanding engineering dataset has been obtained based on the condition monitoring activities in the DERG laboratory.\ud In the mean time a review has also conducted on different techniques such as Neural networks, clustering, genetic algorithms, decision trees and support vector machines that are used widely for data mining. Moreover, to evaluate the effectiveness of using the techniques, a prototype\ud database has been developed and applied with the methods. The results obtained from this evaluation study have shown that the data mining can be efficient to obtain information for condition monitoring. But more work on developing methods to optimize both the parameters of using\ud the methods and the database organization.

The eXtensible Markup Language (XML) has been\ud widely adopted for information exchange across various networks due to flexibility providing common syntax for messaging systems. Excessive use of XML as a communication medium created an aligned interest in the level of security provided for those XML-Based systems. Many security concerns have been tackled by the World Wide Consortium (W3C) creating the "XML Encryption Syntax and Processing" Recommendation [4]. \ud This study presents a new architecture to handle received XML messages from various systems, on one hand suggested architecture is focused on classifying received XML messages (sensitive and non-sensitive) data to define which parts of the\ud XML document to be encrypted and which to be forwarded to another module in suggested system to handle message composition, On the other hand the architecture is focused on securing XML messages by encrypting flagged XML parts each with different type of encryption depending on data sensitivity and importance level defined, this stage uses an approach based on W3C "XML Encryption Syntax and Processing" Recommendation.\ud As a result, study aims to improve both the performance of XML encryption process and bulk message handling to achieve data cleansing efficiently.

This research seeks to introduce architecture of new approach of exchanging XML data files between different Services. The importance of this study is to set new protocol standards of interchanging XML data files between different nodes and types of businesses. The main objective and goal of this study is to transmit XML data file in a secured manner coupled with reliability, quality of communication, independent, scalable and flexibility. Therefore, this architecture designed to minimize the risk of any alteration, data loss, data abuse, data misuse of an XML critical business data information been exchanged. As cloud computing, using existing cloud network infrastructure to get advantage of the scalability, operational efficiency, and control of data flow are big consideration in this architecture. A test has been made to measure the performance of RIDX, one by using TCP protocol, and one by UDP protocol. As a result, starting from 4 nodes up to 8 nodes in the cloud, RIDX architecture performance of UDP showed better performance than TCP, but using TCP assures the reliability and lossless of data transmission to all nodes, in addition, RIDX is reliable multicast transmission.

This research investigated the state of art of computer aided detection systems for digital mammograms, and evaluated the related techniques in image pre-processing, feature extraction and classification of digital mammograms. Furthermore, this paper explored the further research directions for next generation CAD for mammograms. It was identified that computer-aided detection techniques for masses and microcalcifications have been extensively studied, but the detection techniques for architectural distortion and asymmetry in mammograms still are challenges.

This paper reports an approach to improve content-based image retrieval systems. Most\ud current systems are based on a single technique for feature extraction and similarity search.\ud Each technique has its advantages and drawbacks concerning the result quality. Usually they\ud cover one or two certain features of the image, e.g. histograms or shape information. To\ud overcome these restrictions a flexible framework is proposed, capable of combining several\ud different features in a single retrieval system. This system allows an administrator to build\ud a repository managing different feature vectors. A user searching through this repository\ud defines and weights these features according to his needs in the query. It concludes that a\ud combined retrieval can be used much more widely than a highly specialized one and the use\ud of query-by-sketch or -example combined with semantic information (e.g. keywords) could\ud enhance the result quality.

In this paper we present a novel approach for securing financial XML transactions using intelligent fuzzy classification techniques. Given an XML message X, our approach defines the process of classifying XML content to assign a unique value, which indicates the data sensitivity declaring importance level for each XML tag. The classified message Xs includes this new modified attributes with importance level value assigned for each tag. The framework also defines the process of securing classified financial XML message by performing element-wise XML encryption on selected parts defined in Xs. Based on our approach, we define which encryption algorithm is more appropriate to be deployed on selected parts depending on importance level attribute defined in Xs. \ud An implementation has been performed on a real life environment using online banking systems to demonstrate its flexibility, feasibility, and security. Our experimental results of the new model verified tangible enhancements in encryption efficiency, processing time reduction, and financial XML message utilization.

The purpose of this paper is the analysis and evaluation of the mobile interface design. This study consisted of a random sample of 55 user interfaces for mobile applications. In addition, the restriction of all the components of the user interface quantified. An analysis was conducted of these interfaces, in order to represent graphically. Then, evaluated and produced the following results: First, the smaller number of pages in the application is better. Second, decreasing the navigation bars, buttons and menus in user interfaces for mobile applications gives additional space on the screen, making the application easy to use and maintaining the context. Third, diversity, the use of tools ensures good interaction with the user. Finally, a range of results for the design of the user interface and some ideas are provided about what should be taken of these results in mind when designing interfaces for mobile applications.