Ag Asri Ag Ibrahim

Aesthetics in E-Learning Websites Interface Design Using Kansei Engineering Method

This paper presents the emotion responses between genders towards educational web design interfaces. The design concepts were categorized into three sections, text-based design, layout design and color design. The response was measured through Kansei Engineering approach in order to measure the emotion reaction towards educational web design interface between male and female students.

Task analysis for sonification applications usability evaluation

This paper proposes a tasks analysis of sonification applications for usability inspection. The analysis is based on a unified HCI Sonification Application Model. The tasks are based on three different perspectives on how the data being transformed into sound representation as well as from three different points of view including users, interaction and application. The input and output of the transformations are also included in this analysis as the final interfaces and sound representations of the applications.

Sonification of 3D body movement using parameter mapping technique

Most of instructions by trainers or therapists in body movements, such as walking, turning, rising arms or legs are mostly done through voice instructions or touches. This does not have much problem to normal people as they can see it at the same time. To follow these instructions without seeing it can cause confusion in terms of actions and directions. Unfortunately, there is no other option for people who are blind. Thus, this research will try to replace those voice and touches form of instructions into non-speech sound instructions. The method involves transforming 3-dimensional data of body movements (kinematics) into sounds. It is hoped by only listening to the sounds, a person should be able to follow the exact movements of the body of another person or instructor without any voice commands or instructions. The novel contribution of this research is to produce an effective and efficient sonification technique (converting the data into sound) to represent the actions and directions of the body movements in 3-dimensional space. The conversion approach to be used is Parameter Mapping, where the movement properties will be mapped to sound properties. The parameter mapping will involve at least 3 transformation processes - data, acoustics parameters and sound representations. The effectiveness and efficiency of this approach is depending on all of these transformation processes. This research will use Kinect (a device used to play game with Microsoft Xbox game console) as the live 3D movements input data stream. This device is intentionally used in this research, as it is readily available and cheap. Thus, the potential applications or products from this research later on can also use this device.

A general HCI framework of sonification applications

This paper proposes a general HCI framework of sonification applications. It is used to explain and understand sonification applications and how it might be interpreted by the users. The framework emphasizes on two models namely Sonification Application Model (SA Model) and User Interpretation Construction Model (UIC Model).

Kansei Engineering Approach in Designing Appealing Computer Animation Character

The creation of animation characters has always followed the principles of animation, particularly ‘appeal’. References on appealing character design drawings are available. However, these contributions only touch on the theoretical aspects and technical ‘how to’. Hence, the reference to designing Sabah’s own appealing oral tradition animation character was scarce. Review on literature shows the lack of impression and quantification methods that touches on appeal and attractiveness factors in character design drawing. Based on Kansei Engineering methodologies, as well as previous research related to animation character design, Japanese ‘oral tradition-based’ animation was chosen as a domain. It was chosen to measure the appealing factors embedded in them and create a guideline based on the ‘Kansei’ results. The guideline was then used to design Sabah’s own oral tradition animation character. Implementation of the research model in animation character design in the study has produced positive results. The result was then used to validate the model and was rationalized by the measurement of Kansei. Multivariate analysis, such as Factor Analysis and Partial Least Squares, was used in the analysis. The new Sabah Oral tradition animation character design was decided with animators and were reconfirmed by another Kansei validation survey.

A Smart Home Model Using Android Application

Smart Home Models are used to monitor and control home appliances through various methods, such as ZigBee, Bluetooth, and SMS. With the rapid growth of technology, the smart home model based on the Android application is designed using Android Smartphones. The smart home model will be able to ease the effort of physically challenged individuals in controlling their home appliances, such as lamps, fan, and Television. Simulation method in this research paper is done by Proteus simulator and Android Software (IDE). This paper presents a survey of all the existing systems and studies their features. This paper also shows how to simulate the smart home model using Arduino Uno.

A Model New for Smart Home Technologies Knee Monitor and Walking Analyser

Over the past century, in the most developed and rapidly developing countries, there has been a continuous increase in life expectancy primarily due to improvements in public health, nutrition, and medicine. However, this is now in parallel with aging population demographics and falling birth rates, which when combined, are expected to significantly burden the socio-economic well-being of many of these countries. In fact, never in human history have we been confronted with such a large aging population, nor have we developed solid, cost-effective solutions their healthcare and social needs, as well as the well-being of the elderly. In this paper, we will describe an ongoing project in Ubiquitous (U)-Healthcare - a smart medical home. In our research work, we are using advances in Information Technology (IT), wireless communication, web-based technologies, and autonomics, to develop new, smart, and cost-effective solutions for the health wellness of the elderly. Such a solution would enable the elderly to lead independent lifestyles in their own homes while being continuously, non-invasively, and non-intrusively monitored for the early detection of symptoms, so diseases can be treated in the early stages; to promote health wellness; as well as to treat chronic illnesses. In this research paper, through a few examples, we will discuss our ongoing work and the challenges we have uncovered, plus some of the research issues we are pursuing. We will particularly focus on the critical role of IT in developing innovative, low-cost, and high impacting solutions to the pending elderly demographic crisis. Several examples will be given to highlight IT for U-Health.

On-Demand DTN Communications in Heterogeneous Access Networks Based on NDN

With the development of wireless communication technologies, the mobile terminal can be installed with more than one wireless interfaces to support its flexible roaming and vertical handover between heterogeneous access networks. Traditionally, the ongoing session has to be re-established when the multi-interface terminal hands over vertically while maintaining the Delay Tolerant Networking (DTN) communication. In this paper, a novel solution is proposed to efficiently support the on-demand DTN communication under the heterogeneous access networks based on Named Data Networking (NDN) architecture.

Data Fusion Based on Self-Organizing Map Approach to Learning Medical Relational Data

Amount of data generated and stored in relational databases has motivated numerous researchers to study and develop learning algorithms on learning relational data mining. One of the most important relational tasks is to discover knowledge from relational data for a better decision making. Despite that, various representations can be generated using the same data by applying the Self-Organizing Map (SOM) methods in clustering relational data. This can be achieved by tuning the parameters used in Self-Organizing Map (SOM), such as the number of clustering, weights, seeds, epoch and others. Thus, this paper proposes a summarization method that applies SOM as the main algorithm to cluster relational data and applies the concept of data fusion in order to get better results in learning relational data. Input data obtained from Dynamic Aggregation of Relational Attributes will be clustered using the SOM method by tuning the SOM parameters. Results generated will be fused and embedded into the target table to form a single representation. A few representations will be formed and fed into the classifiers (J48 Decision Tree and Naive Bayes classification model) as input data. Throughout the experiments conducted, representations that are extracted by tuning the number of cluster produced better results compared to the representations that are extracted by tuning the other parameters. Overall, the data summarization approach based on individual data fusion is found to perform better compared to the other types of data fusion. In addition to that, the clusters based data fusion with average number of clusters provided better accuracy performances compared to clusters based data fusion with small and large number of clusters.

A Comparison of BPNN, RBF, and ENN in Number Plate Recognition

In this paper, we discuss a research project that related to autonomous recognition of Malaysia car plates using neural network approaches. This research aims to compare the proposed conventional Backpropagation Feed Forward Neural Network (BPNN), Radial Basis Function Network (RBF), and Ensemble Neural Network (ENN). There are numerous research articles discussed the performances of BPNN and RFB in various applications. Interestingly, there is lack of discussion and application of ENN approach as the idea of ENN is still very young. Furthermore, this paper also discusses a novel technique used to localize car plate automatically without labelling them or matching their positions with template. The proposed method could solve most of the localization challenges. The experimental results show the proposed technique could automatically localize most of the car plate. The testing results show that the proposed ENN performed better than the BPNN and RBF. Furthermore, the proposed RBF performed better than BPNN.