This research focuses on the design and evaluation of Qiraat mobile learning. It is an extension of our previous paper. It discusses about the improved design of MyQiraat. The main purpose of this research is to enable and promote ubiquitous learning of Qiraat through mobile devices. The improved design has been evaluated using a low-fidelity prototype in a two group evaluation. Results show that most participants realized the potential benefits of the application allowing a better understanding and encouragement of Qiraat learning among participants. � 2017 American Scientific Publishers All rights reserved.

This research is concerned with deploying design pattern and formative evaluation for Qiraat mobile application using both Rapid Application Development (RAD) and User Experience (UX) methodologies. The ultimate aim of this research is to encourage ubiquitous teaching and learning of Qiraat through mobile devices. In this paper, continuous progress of MyQiraat design will be presented. The improvement of MyQiraat version design has been evaluated using high-fidelity and low-fidelity prototypes for MyQiraat version 1 and version 2 respectively. Results show that most participants realized the potential benefits of the application allowing a better understanding and encouragement of Qiraat learning among them. However, participants' feedback should be considered in the development of the prototype.

The Holy Quran being the most comprehensive book of reference has discussed on every minute details of human anatomy. One of them is human senses and can be categorized by external parts and internal parts. For example external parts such as ears are used to sense audio, eyes are used to sense visual, and nose is used to sense smell. While for internal parts, emotion is used to sense feelings such as happiness and sadness. Although all of the senses that comes from the external and internal parts are important in human�s well-being, the Holy Quran has placed different emphasizes on all of these senses. This is because some of the senses are quoted more often than others. Using data extraction technology, this study finds that ears and eyes are quoted most often although ears seem to be more superior. Therefore, it is the purpose of this paper to investigate the reason why ears are quoted more often than eyes in the Holy Quran. In addressing this question, this paper applies two methods. Firstly, all verses related to sound and sight senses are gathered. Then the superiority between them are measured based on the book of exegesis (tafsir) and scientific reports. 2017 American Scientific Publishers All rights reserved.

The Holy Quran ontology models are gaining popularity among researchers due to people's demands in understanding this divine book. Due to this, there are many studies and research have been conducted in this area to facilitate people's understanding of the Quran. The Quran knowledge is represented conforming to an ontology within a system framework. This also includes various concepts that are interrelated with the others. From the literature, however, the existing Quranic ontology models do not cover all concepts in the Quran, which limit them to domains such as place nouns, themes, pronouns, antonyms and Islamic knowledge in the Quran. Thus, this research aims to identify relevant research works from various electronic data sources using systematic literature review (SLR) method to provide a comprehensive review of this area. This paper presents a systematic review of the literature related to the existing ontology models, where it leads to disseminating the correct knowledge of the Quran using semantic technologies.

Interference from high priority tasks and messages in a hard real-time Networks-on-Chip (NoC) create computation and communication delays. As the delays increase in number, maintaining the system's schedulability become difficult. In order to overcome the problem, one way is to reduce interference in the NoC by changing task mapping and network routing. Some population-based heuristics evaluate the worst-case response times of tasks and messages based on the schedulability analysis, but requires a significant amount of optimization time to complete due to the complexity of the evaluation function. In this paper, we propose an optimization technique that explore both parameters simultaneously with the aim to meet the schedulability of the system, hence reducing the optimization time. One of the advantages from our approach is the unrepeated call to the evaluation function, which is unaddressed in the heuristics that configure design parameters in stages. The results show that a schedulable configuration can be found from the large design space.