Dyslexia is a specific reading disability in word recognition, spelling and decoding. Students with Dyslexia require special adjustments to the text and text environment to be able to read better. Current studies have shown that many assistive technologies such as software application and other tools are available in aiding Dyslexia's student in reading. However, websites that support Dyslexia's student in reading are very minimal. This discourages Dyslexia's student to use the Internet. Therefore there is a need to identify user-interface requirements for web readability for students with Dyslexia. The requirements are font style, font size, font color, background color and spacing. This is in line with result from several interviews conducted among educators in Dyslexia Titiwangsa Centre. By using the user-interface requirements, the researcher developed a prototype of web readability for students with mild stage of Dyslexia using Cascade Style Sheet (CSS). The reading ability of the Dyslexia's students in Dyslexia Titiwangsa Centre was tested on the prototype. The results showed that the Dyslexia's students were able to read better and easier when using built-in userinterface requirements in the website.
Detecting emotion features in a song remains as a challenge in various area of research especially in Music Emotion Classification (MEC). In order to classify selected song with certain mood or emotion, the algorithms of the machine learning must be intelligent enough to learn the data features as to match the features accordingly to the accurate emotion. Until now, there were only few studies on MEC that exploit audio timbre features from vocal part of the song incorporated with the instrumental part of a song. Timbre features is the quality of a musical features or sound that distinguishes different types of sound production in human voices and musical instruments such as string instruments, wind instruments and percussion instruments. Most of existing works in MEC are done by looking at audio, lyrics, social tags or combination of two or more classes. The question is does exploitation of both timbre features from both vocal and instrumental sound features helped in producing positive result in MEC? Thus, this research present works on detecting emotion features in Malay popular music using artificial neural network by extracting audio timbre features from both vocal and instrumental sound clips. The findings of this research will collectively improve MEC based on the manipulation of vocal and instrumental sound timbre features, as well as contributing towards the literature of music information retrieval, affective computing and psychology.
The increasing demands on the usage of data centers especially in provisioning cloud applications (i.e. data-intensive applications) have drastically increased the energy consumption and becoming a critical issue. Failing to handle the increasing in energy consumption leads to the negative impact on the environment, and also negatively affecting the cloud providers' profits due to increasing costs. Various surveys have been carried out to address and classify energy-aware approaches and solutions. As an active research area with increasing number of proposals, more surveys are needed to support researchers in the research area. Thus, in this paper, we intend to provide the current state of existing related surveys that serve as a guideline for the researchers as well as the potential reviewers to embark into a new concern and dimension to compliment existing related surveys. Our review highlights four main topics and concludes to some recommendations for the future survey.
The ability to ensure an optimal decision is significant for self-adaptive systems especially when dealing with uncertainty. For this reason, a synthesis-driven approach can be used to capture and synthesize a decision that aims to satisfy the multi-objective properties. Assessing the quality of the synthesis-driven approach is challenging, since it involves a set of activities from modeling, simulating, and analyzing the outcomes. This paper presents the design and implementation of a graphical user interface (GUI)-based prototype for assessing synthesis outcome and performance of an adaptation decision. The prototype is designed and developed based on the component-based development approach that is able to integrate the existing and related libraries from PRISM-games model checker for the synthesis engine, JFreeChart libraries for the chart presentation, and Java Universal Network/Graph Framework libraries for the graph visualization. This paper also presents the implementation of the proposed prototype based on the cloud application deployment scenario to illustrate its applicability. This work contributes to provide a fundamental work towards automated synthesis for self-adaptive systems.
The need for conversion method exists due to the limitation of manual conversion at design time whenever the interested party must perform some assessments using an existing model checker tool. Manual conversion of the related requirements into the respective specification language is time-consuming especially when the person has limited knowledge and need to do the task repetitively with a different set of Service Level Agreement (SLA) configurations. This paper aims to address the need to automatically capture non-functional requirements specified in the SLA, namely, Service Level Objectives (SLO) and converting them into a specific probabilistic temporal logic specification. We tackle this problem by proposing a conversion method that utilizes a rule-based and template-based approach. The conversion method automatically extracts the required information in SLA based on certain rules and uses the extracted information to replace the elements in the prepared template. We focus on WS-Agreement language for SLA and probabilistic alternating-time temporal logic with rewards specification (rPATL) for the properties specification used in PRISM-games model checker tool. We then implement an initial proof-of concept of a conversion method to illustrate the applicability of translating between targeted specifications
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