Factors impacting on the effectiveness of computer-assisted courseware

The level of satisfaction of computer-assisted tutorial courseware that is used as part of the undergraduate property and construction course at the University of Melbourne. It is important to determine if the computer-assisted teaching model improves the learning experience for students. This research examines the levels of satisfaction with a courseware model for teaching construction cost planning. The conclusions suggest that the advantages of the use of the model must be identified and actively supported throughout the whole course. In addition, further development of computer-based courseware is pointless unless the problems associated with their use can be minimized.

A construction method of interval-valued fuzzy sets for image processing

In this work we present a new construction method of IVFSs from Fuzzy Sets. We use these IVFSs for image processing. Concretely, in this contribution we introduce a new image magnification algorithm using IVFSs. This algorithm is based on block expansion and it is characterized by its simplicity.

Why should I present my thesis on computer assisted ndjébbana on dvd?

This paper justifies the presentation of a Phd thesis about Computer Assisted NdjTbbana on a Digital Video Disc (DVD). NdjTbbana is a language spoken by 200 Kunibfdji who are the traditional indigenous Australian landowners of Maningrida in Arnhem Land, Australia. The tools of this study are simple digital talking books that were created in NdjTbbana and then presented on touch screens computers. The data was the interaction around the touch screens that was recorded on digital video. Using DVD technology, the NdjTbbana talking books and the digital video can be integrated into a scholarly text for academics and NdjTbbana narrated report for the Kunibfdji, which can be combined to present a thesis. From a theoretical perspective, a thesis on a DVD can be located in the centre of critical literacy, a critical theory of technology and critical research methodologies. There are also logistical, semiotic and ideological reasons for presenting a thesis on about computer assisted NdjTbbana on DVD. Presenting Computer Assisted NdjTbbana on DVD will link the tools and data of the research with academic discourse to enhance the examination process and will also support the empowerment of the Kunibfdji as they are more informed about the research process.

Special issue : Computational intelligence models for image processing and information reasoning

Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI models include fuzzy systems, artificial neural networks, evolutionary algorithms, multi-agent systems, decision trees, rough set theory, knowledge-based systems, and hybrid of these models. This special issue highlights how different computational intelligence models, coupled with other complementary techniques, can be used to handle problems encountered in image processing and information reasoning.

Medical image classification using an efficient data mining technique

Data mining refers to extracting or "mining" knowledge from large amounts of data. It is an increasingly popular field that uses statistical, visualization, machine learning, and other data manipulation and knowledge extraction techniques aimed at gaining an insight into the relationships and patterns hidden in the data. Availability of digital data within picture archiving and communication systems raises a possibility of health care and research enhancement associated with manipulation, processing and handling of data by computers.That is the basis for computer-assisted radiology development. Further development of computer-assisted radiology is associated with the use of new intelligent capabilities such as multimedia support and data mining in order to discover the relevant knowledge for diagnosis. It is very useful if results of data mining can be communicated to humans in an understandable way. In this paper, we present our work on data mining in medical image archiving systems. We investigate the use of a very efficient data mining technique, a decision tree, in order to learn the knowledge for computer-assisted image analysis. We apply our method to the classification of x-ray images for lung cancer diagnosis. The proposed technique is based on an inductive decision tree learning algorithm that has low complexity with high transparency and accuracy. The results show that the proposed algorithm is robust, accurate, fast, and it produces a comprehensible structure, summarizing the knowledge it induces.

Word processing in the classroom

This study describes the use of one word processor in a working classroom of Grade Four children over a period of nine months. The class had only limited access to the computer as, it was shared with several other grades - the computer was mobile to be moved from room to room. The study was aimed not only at monitoring the reactions of the children to the Introduction of the computer itself, but also on the wider impact within the classroom through a series of cycles. The study is a report of a form of action research. The findings were that children were highly, motivated to write when using a word processor for creative writing. The writing of the children in this study was enhanced by using a word processor. The word processor could be used at several levels of its full potential for various purposes and at different grade levels. It could be used successfully and integrated into an existing creative writing program such as the ‘writing process’ approach and used concurrently with other writing materials. Creative writing can be enhanced and classroom implementation of word processors can be facilitated by peer-group and cross-age tutoring.

Painting that moves : digital realism and the single moving image

Explores space and object relations in a digital 3-D animation production, "Moving-Image". The exegesis examines these relations through an analysis of pictorial realism in painting. The illusion of three dimensional forms in the space of the computer screen is contextualised by investigation of the work's underlying digital conditions.

Image to text translation by multi-label classification

This thesis includes the development of an architectural framework for the proposed image to text translation system containing four components. Selection of appropriate algorithms for the first three components developed three effective multi-label classification algorithms for the fourth component, i.e. the translation component, for different problem settings.

Efficient dimensionality reduction and one-class classification for content-based image retrieval

The thesis investigates various machine learning approaches to reducing data dimensionality, and studies the impact of asymmetric data on learning in image retrieval. Efficient algorithms are proposed to reduce the data dimensionality. Integration strategies for one-class classification are designed to address asymmetric data issue and improve retrieval effectiveness.