Issues for consideration to adopt educational computer games for learning and teaching

Computer games have started to gain attention in the domain of learning and teaching. The integration of computer games for education in the classroom has starting to gain acceptance in some countries. However, for schools which have never used computer games in the classroom, study still need to be conducted to investigate the teachers' belief and attitude toward the usage. The purpose of this paper is to examine issues for consideration when adopting educational computer games for learning and teaching. This paper also examines the concepts that related to educational computer games and aspects of learning and teaching. In addition, the theories of technology acceptance which use to assess the perception, belief and attitude of teachers and students have also been investigated

Summarizing information from Web sites on distributed power generation and alternative energy development

The World Wide Web (WWW) has become a huge repository of information and knowledge, and an essential channel for information exchange. Many sites and thousands of pages of information on distributed power generation and alternate energy development are being added or modified constantly and the task of finding the most appropriate information is getting difficult. While search engines are capable to return a collection of links according to key terms and some forms of ranking mechanism, it is still necessary to access the Web page and navigate through the site in order to find the information. This paper proposes an interactive summarization framework called iWISE to facilitate the process by providing a summary of the information on the Web site. The proposed approach makes use of graphical visualization, tag clouds and text summarization. A number of cases are presented and compared in this paper with a discussion on future work

A model for mobile content filtering on non-interactive recommendation systems

To overcome the problem of information overloading in mobile communication, a recommendation system can be used to help mobile device users. However, there are problems relating to sparsity of information from a first-time user in regard to initial rating of the content and the retrieval of relevant items. In order for the user to experience personalized content delivery via the mobile recommendation system, content filtering is necessary. This paper proposes an integrated method by using classification and association rule techniques for extracting knowledge from mobile content in a user's profile. The knowledge can be used to establish a model for new users and first rater on mobile content. The model recommends relevant content in the early stage during the connection based on the user's profile. The proposed method also facilitates association to be generated to link the first rater items to the top items identified from the outcomes of the classification and clustering processes. This can address the problem of sparsity in initial rating and new user's connection for non-interactive recommendation systems

Towards a more natural and intelligent interface with embodied conversation agent

Conversational agent also known as chatterbots are computer programs which are designed to converse like a human as much as their intelligent allows. In many ways, they are the embodiment of Turing's vision. The ability for computers to converse with human users using natural language would arguably increase their usefulness. Recent advances in Natural Language Processing (NLP) and Artificial Intelligence (AI) in general have advances this field in realizing the vision of a more humanoid interactive system. This paper presents and discusses the use of embodied conversation agent (ECA) for the imitation games. This paper also presents the technical design of our ECA and its performance. In the interactive media industry, it can also been observed that the ECA are getting popular

Misclassification analysis for the class imbalance problem

In classification, the class imbalance issue normally causes the learning algorithm to be dominated by the majority classes and the features of the minority classes are sometimes ignored. This will indirectly affect how human visualise the data. Therefore, special care is needed to take care of the learning algorithm in order to enhance the accuracy for the minority classes. In this study, the use of misclassification analysis is investigated for data re-distribution. Several under-sampling techniques and hybrid techniques using misclassification analysis are proposed in the paper. The benchmark data sets obtained from the University of California Irvine (UCI) machine learning repository are used to investigate the performance of the proposed techniques. The results show that the proposed hybrid technique presents the best performance in the experiment

An embodied conversational agent for intelligent web interaction on pandemic crisis communication

In times of crisis, an effective communication mechanism is paramount in providing accurate and timely information to the community. In this paper we study the use of an intelligent embodied conversational agent (EGA) as the front end interface with the public for a Crisis Communication Network Portal (CCNet). The proposed system, CCNet, is an integration of the intelligent conversation agent, AINI, and an Automated Knowledge Extraction Agent (AKEA). AKEA retrieves first hand information from relevant sources such as government departments and news channels. In this paper, we compare the interaction of AINI against two popular search engines, two question answering systems and two conversational systems

Trajectory generator design by using B-spline curves

[[abstract]]In this paper, a trajectory generator by using B-Spline curves is designed for robot manipulators. It can quickly generate smooth curves. Moreover, it needs less memory to store the generated trajectories.[[conferencetype]]國際[[conferencedate]]20140606~20140608[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa

Vision-based robot arm system design for air-hockey

[[abstract]]A vision-based robot arm system is designed and implemented so that a robot arm can play air-hockey with human being. The image processing unit and the arm control unit of two main units of the system architecture are described in this paper.[[conferencetype]]國際[[conferencedate]]20140606~20140608[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa

Interoperability Optimization and Service Enhancement in Vehicle Onboard Infortainment Systems

This paper presents an overview on optimizing interoperability between different applications for enhanced return-on-investment through utilization of business intelligence in conjunction with prognostics and health management methodology. Such implementation is particularly suitable for deployment in mass-produced vehicle onboard diagnostics system