Chun-Yen Huang

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The objectives of this paper is to develop a system for an autonomous mobile robot for searching and tracking sound source based target. The target can be a power charge docking station. Finding objects or events by following a sound source direction is an intuitive response for human and animal when they cannot see the target. However, there are relative(More)
Because of the advances of computer hardware and software, Computer Aided Instruction (CAI) makes learning effective and interesting through the use of interactive multimedia technology. Recently, Augmented Reality (AR) technology has begun to surge as a new CAI tool because of its ability to create tangible and highly interactive user interface. In(More)
Digital watermarking is a useful solution for digital rights management systems, and it has been a popular research topic in the last decade. Most watermarking related literature focuses on how to resist deliberate attacks by applying benchmarks to watermarked media that assess the effectiveness of the watermarking algorithm. Only a few papers have(More)
We propose an interactive and procedural approach to developing a tool for modeling Chinese tings, a featured Chinese architecture. The procedural approach models a detailed 3D Chinese ting model efficiently. The movement of control-point with user guidance and interaction-clue provides a user-friendly GUI for intuitively constructing variant tings(More)
Gastrodia elata Blume (Orchidaceae) is an important Chinese medicine with several functional components. In the life cycle of G. elata, the orchid develops a symbiotic relationship with two compatible mycorrhizal fungi Mycena spp. and Armillaria mellea during seed germination to form vegetative propagation corm and vegetative growth to develop tubers,(More)
Advancements in the field of information technology have resulted in an increase in the speed and amount of data generated. This has resulted in traditional association rules algorithms, such as the Apriori and Frequent Pattern Growth (FP-Growth) algorithms, no longer being able to rapidly explore valuable knowledge in big data. Nowadays, parallel computing(More)