教師著作

Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31267

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Author: search.filters.author.Janus S. Liang

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Now showing 1 - 10 of 11
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    Development of a Knowledge-based Assisted Product Design System
    (Informa Taylor & Francis, 2012-12-12) Janus S. Liang
    The demand of high-quality products with short development time in the dynamic global market has forced researchers and industries to focus on various effective product development strategies. The author is carrying out research studies to explore the applicability of knowledge-based system technologies to today's competitive product design and development, with an emphasis on the design of high-quality products at the design stage. A framework of knowledge-intensive support approach for new product concepts is proposed in this article. Based on the proposed approach and methodologies, a prototype system named knowledge-based assisted product design system was designed and it implemented a module for the system, using fuzzy-logic techniques and methodology, design failure mode and effective analysis, to validate the product design. It can assist inexperienced users to perform analysis for quality improvement, alternative design evaluation and material selection, thus helping to enhance robustness of new products at the conceptual design stage. This article presents the underlying concepts of the development and shows the practical application with the prototype system with a case study.
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    A Web-based Training Framework in Automotive Electric Education
    (John Wiley & Sons, 2009-03-03) Janus S. Liang
    In this study, the mechanism of network information is applied together with CAD, open software and virtual reality technology to generate a web-based learning framework for measuring components and circuit design of automobile electric system. Different from traditional teaching methods, this web-based system is very helpful for students to learn skills of measurements and circuit design. There are three topics discussed in this study: (1) developing the learning module for measuring electric parts; (2) building the platform for practice of electric circuit; (3) creating the online study tools and effectiveness analysis. The effectiveness of this training system was tested after experiment instruction. Close to 100% attendance was observed during the practice sessions, which demonstrates the success in generating interest among the students. The training platform developed through this study was tested capable of improving learning efficiency on technology content and promoting students' ability of troubleshooting on automotive electrical system.
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    VR-based Wheeled Mobile Robot in Application of Remote Real-time Assembly
    (Springer-Verlag, 2013-02-01) Janus S. Liang; Kuo-Ming Chao; Paul Ivey
    The objective of this paper is to develop an appropriate methodology with open architecture for real-time monitoring and remote control of networked mobile robot. An integrated product data model and the related configuration management methods are generated. Within the context, this paper presents a new enabling technology to bring traditional robotic tools on-line with combined monitoring and control capability. Under a hybrid architecture of Web browser/server and client/server, an application system is presented to manipulate the wheeled mobile robot data and to carry out a variety of assembly functions. Issues such as architecture design, methodology development, and prototype implementation are addressed through a component assembly case study. Finally, a CORBA stands-based integration framework is proposed to achieve interoperability among multiple data and application objects over the Internet.
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    A Web-based Automotive Refrigeration Troubleshooting System Applying Knowledge Engineering Approach
    (ELSEVIER, 2010-01-01) Janus S. Liang
    This study describes the generation of Web-based troubleshooting system for automotive refrigeration system using knowledge engineering approach over the Internet. The relevant technologies used in the system are discussed in detail. The aim of the proposed knowledge-based troubleshooting system (KBTS) is to integrate the troubleshooting process of automotive refrigeration system into a single architecture for retrieving knowledge and experience of technicians in automobile repairing field. The application of KBTS guides the novice or learner through different stages of the troubleshooting process enabling the creation of problem-solving list, its contents include the selection of hand tools and instrument, decision of detecting methods, procedure of disassembling/reassembling component, adjusting, and so on. Through the use of web and knowledge approach, the troubleshooting knowledge of automobile refrigeration system can be effectively incorporated into the procedure generation framework and a Web-based troubleshooting procedure generation system can also be implemented.
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    Design and Implement a Virtual Learning Architecture for Troubleshooting Practice of Automotive Chassis
    (John Wiley & Sons, 2009-02-25) Janus S. Liang
    In this research, a web-based troubleshooting architecture of automobile chassis is constructed, and it can support distance learning of practical courses in automotive chassis repair and maintenance. This system allows remote learners to operate a practical training module for troubleshooting through the Internet. There are several subjects discussed in this research: (1) developing the learning contents for repairing automotive chassis; (2) building the virtual and interactive platform for browsing and practice of troubleshooting; (3) creating the online evaluation tools and effectiveness analysis. The framework has been tested and implemented in the course, “Automotive Practice: Chassis,” in the Department of Mechanical Engineering at Yung-Ta Institute of Technology and Commerce during the spring semester of 2005.
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    An Approach for Generating a Tasks Schedule Model in Web-based Virtual Manufacturing System of Screw Threads
    (Springer-Verlag, 2010-01-01) Janus S. Liang
    In this paper, several web-based interfaces for user interaction and a task-oriented decision approach are proposed to build a tasks schedule model and then display the manufacturing process in a virtual environment, which is created by a geometric virtual-reality-based visualization technology for screw threads generation. The proposed tasks schedule model consists of four types of objects: virtual component, state manager, transfer operator, and flow controller. The virtual component has a geometric model with kinematics and their attributes. To control the geometric model, a component controller which models the logical aspects of a component is used. The component controller should be able to implement component-level orders by operating the geometric model. For the fidelity of the tasks schedule model, a transfer operator has a set of component-level command imitating the physical mechanism of a transfer. As a result, more accurate simulation results can be expected. The flow controller makes decisions on friable transfers based on decision parameters, which are maintained by the state manager. To have better structure and easier implementation, a virtual manufacturing platform can be modeled in a hierarchical and modular manner as an integrated system consisting of a product design suite, a web interface module, and a visualization module. Meanwhile, it provides a solution of learning of manufacturing sequences, cost effective, platform independent, and sharing visualized information over the internet for virtual manufacturing. Finally, the tasks schedule model has been implemented with an example in screw threads generation.
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    Scaffolding for Automotive Air Conditioning Learning Environment
    (John Wiley & Sons, 2009-02-23) Janus S. Liang
    This research is to construct a scaffold-based learning environment of automotive air conditioning system repair and maintenance by using technologies of Internet, virtual reality, CAD graphic processing and 2D animation. It is a useful system of air conditioning system troubleshooting training for such learners as colleague or vocational school students or novices in automotive repair industry, etc. This environment is composed of different units, helping learns to understand different types of automotive air conditioning system troubles, their causes and corresponding troubleshooting steps. In this research, an experiment composed of a pre-test and a post-test on the sampled learners was conducted to measure if the learning environment was helpful for them in improving their automotive air conditioning system troubleshooting knowledge and skills. In addition, a user satisfaction questionnaire survey was also conducted and the user satisfaction rate reached as high as nearly 0.98, indicating the learners did find the learning system satisfactory and helpful. In conclusion, the learning system developed in this research can help promote the training of automotive air conditioning system maintenance and repair.
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    Generation of automotive troubleshooting configuration system using an ontology-based approach
    (Elsevier Science Publishers, 2012-06-01) Janus S. Liang
    Automotive troubleshooting configuration is a critical way to implement the specific paradigm by integrating a set of specific elements to satisfy both technical criteria and users' needs. With the objective of enabling efficient generation of automotive troubleshooting configuration by reusing configuration knowledge, an ontology-based approach to building troubleshooting configuration knowledge is presented in this study. The utilization of ontologies as metadata descriptions of the information sources is a possible approach to offer an integrated view of multiple elements libraries. A configuration meta-model is defined. The meta-concepts have explicit ontological semantics, so that they assist to identify domain concepts consistently and structure them systematically. As a result, configuration models have well-defined semantics due to the logic semantics of OWL, making it possible to automatically detect inconsistencies of configuration knowledge bases. Actual configuration processes are executed using jess, a rule engine for the java platform, by mapping OWL-based configuration facts and SWRL-based configuration criteria into jess facts and jess rules, respectively. Modeling ontologies of real automotive standard braking system is taken as an example task to show how to use the meta-concepts for configuring the troubleshooting information.
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    Instructing an On-line VR-based Written Test System Design and Construction in Multimedia Practice Course
    (John Wiley & Sons, 2011-06-01) Janus S. Liang
    Instructing multimedia practice is a fundamental issue in a computer science high-level course. However, for an effective instruction of this subject an experience with real case study can be considered as fundamental. To achieve this goal, in this research a project for the practical learning of multimedia application and development is presented. This consists of an on-line VR-based written test system for automotive driving license. This research breaks down an on-line VR-based written test system into several portions that are suited for teamwork. Building this system it is possible to understand the performance and limitations of different tools, for example, multimedia, database, programming, etc., and to create a collaborative learning environment. We conclude with a rough timeline for modeling an on-line written test system for automotive driving license during the course of a semester. Comput Appl Eng Educ � 2011 Wiley Periodicals, Inc.
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    The Methodology of Knowledge Acquisition and Modeling for Troubleshooting in Automotive Braking System
    (ELSEVIER, 2012-02-01) Janus S. Liang
    This study introduces a methodology of knowledge acquisition and modeling for troubleshooting in automotive braking system. It is essential for constructing a knowledge base that can be maintained and shared. A knowledge base should not merely be a set of rules, but a framework of troubleshooting that can be controlled and customized by rules. For the construction of a knowledge base, identifying the types of knowledge components to be included is a prerequisite. To identify the knowledge components, this study employs a modeling methodology consisting of three sub-models: instance model, functional model and dynamic model. In addition, mechanisms for maintaining dependency relations of the troubleshooting descriptions at different locations and reasoning using the knowledge at different locations are also developed. The system is implemented using an object-oriented programming language. The proposed methodology is applied to the troubleshooting in automotive braking system.