Improving Usability of E-recruitment Website: A Preliminary Study on Sarawak Government Website

Presently, most organisations are already using e-recruitment to post jobs and accept resumes online where they also correspond with the applicants through e-mail. This paper proposes a framework for evaluating usability performance of e-recruitment websites. The evaluation mainly focuses on the Sarawak Government e-recruitment website (e-recruitment.gov.my). The usability criteria such as navigation that include hyperlinks, length of page, search engine and user location indication were assessed. Under page layout criteria, usage of colours and images, consistency and attractiveness were evaluated. The results found that these criteria are the key determinants of a successful erecruitment website. Since e-recruitment surpasses the traditional employees hiring methods, usability of the e-recruitment websites is vital to facilitate users in finding jobs effectively and efficiently

Image fusion in thermal spectrum

V následující práci je uvedena teorie k problematice zpracování a fúze obrazu, která v dnešní době patří do skupiny nejvíce používaných způsobů zpracování obrazu. V první části jsou zmíněny základní poznatky o obraze a elektromagnetickém spektru. V druhé části jsou probrána některá fakta o infračerveném záření, termokamerách, dále výhody a nevýhody zobrazení v termografickém spektru. Dále jsou vysvětleny základní metody vyčíslení ostrosti obrazu, segmentace a prahování přechodů a šumu. V další části je uvedeno blokové schéma systému fúze obrazu a základní myšlenka postupu při jeho implementaci. V záveřečné části práce je popsán realizovaný systém fúze obrazu a nachází se zde podrobný popis dosažených výsledků, zhodnocení práce a návrh budoucího postupu pro zdokonalení celého systému.In this paper, there is mentioned necessary theory of image processing and fusion, which belongs to a group of the most used ways of image processing in the present. In the first part there is mentioned basic findings of image and electromagnetic spectrum. In the second part there is discussed some facts of infrared radiation, thermal cameras, then it is continued with elementary methods of image focus evaluation, segmentation and noise thresholding. In next part there is introduced scheme of image fusion system and basic idea of its implementation. In the end of this thesis there is described implemented system of image fusion, detailed description of reached results, thesis rating and few ideas of improving whole system.

A predictive model of colour differentiation

The ability to differentiate between colours varies from individual to individual. This variation is attributed to factors such as the presence of colour blindness. Colour is used to encode information in information visualizations. An example of such an encoding is categorization using colour (e.g., green for land, blue for water). As a result of the variation in colour differentiation ability among individuals, many people experience difficulties when using colour-encoded information visualizations. These difficulties result from the inability to adequately differentiate between two colours, resulting in confusion, errors, frustration, and dissatisfaction. If a user-specific model of colour differentiation was available, these difficulties could be predicted and corrected. Prediction and correction of these difficulties would reduce the amount of confusion, errors, frustration, and dissatisfaction experienced by users. This thesis presents a model of colour differentiation that is tuned to the abilities of a particular user. To construct this model, a series of judgement tasks are performed by the user. The data from these judgement tasks is used to calibrate a general colour differentiation model to the user. This calibrated model is used to construct a predictor. This predictor can then be used to make predictions about the user's ability to differentiate between two colours. Two participant-based studies were used to evaluate this solution. The first study evaluated the basic approach used to model colour differentiation. The second study evaluated the accuracy of the predictor by comparing its performance to the performance of human participants. It was found that the predictor was as accurate as the human participants 86.3% of the time. Using such a predictor, the colour differentiation abilities of particular users can be accurately modeled

Semantic models for texturing volume objects

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

User interface and interactivity design guidelines of algorithm visualization on mobile platform

Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. Students can watch and observe through the elaboration of dynamic animation. Previous studies show that AV mobile study is still limited. AV implementation on the mobile platform is still considered as a new trend which started in 2013. In addition, comprehensive design guidelines of AV in terms of designing user-interface (UI) and interactivity factors are still limited and discussed separately in previous studies. Even though, much evidence in previous empirical studies show that various interactivity strategies and UI design aspects are two imperative aspects to make an effective AV tool for learners. Within this context, this study proposes AV on mobile platforms (AVOMP) design guidelines that serve as a systematic approach. It includes the fundamental recommendations for designers, developer, and lecturers to produce AVOMP which are based on two aspects, namely UI design and interactivity aspects. Hence, in order to accomplish the main aim, a number of sub-objectives were formed: (a) to identify the appropriate recommendations for UI design and interactivity aspects of AVOMP, (b) to develop the design guidelines of AVOMP based on the identified recommendations of UI design and interactivity, (c) to validate the developed design guidelines of AVOMP in terms of “usefulness” through expert reviews, and (d) to measure the effectiveness of AV on mobile platform that implements the proposed design guidelines through prototype. This study adopted the Design Science Research methodology as the framework of the research process. Activities of AVOMP design guidelines construction include a literature review and a comparative study. The proposed design guidelines were validated through expert reviews, which involved 16 experts. Results of the hypothesis testing concludes that the proposed AVOMP design guidelines are significantly perceived as having quality in serving as a guideline for developers or designers to design and develop AVOMP. Moreover, the evaluation of the effectiveness of the AVOMP prototype from 35 participants through laboratory experiments based on the bloom taxonomy test shows that there is a significant difference between students learning sorting algorithms using the manual approach (Pre-Test) and the AVOMP app (Post-Test). Hence, this study makes three major contributions, namely artefact, empirical, and theoretical. In terms of artifact, this study yields AVOMP design guidelines that are comprised of UI design and interactivity aspects as well as AVOMP prototype of sorting algorithms. Meanwhile, empirical contribution shows the result of the effectiveness of AVOMP apps. Finally, the theoretical aspect contributes the novelty of the developed design guidelines of AVOMP that are structured and comprehensively formed with a combination of a bunch of theories and empirical studies of two aspects, which are UI design and interactivity