Papers by Author: Chiuhsiang Joe Lin

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Authors: Chiuhsiang Joe Lin, Shiau Feng Lin, Rou Wen Wang, Tien Lung Sun, Chin Jung Chao, Wen Yang Feng, Feng Yi Tseng
Abstract: Virtual Reality (VR) systems have been applied for education, training and entertainment purposes in the areas of military, safety training and flying simulators. In particular, Web-based VR training systems (WBVRTS) have been claimed to have great potential for many applications in training. However, WBVRTS are more complex compared with the traditional training methods which rely on manuals, instructions, and videos. Since VR not only reinforces the visual presentation of the training materials but also provides ways to interact with the training system, it becomes more flexible and possibly more powerful in designing the training system. In this study, we propose a WBVRTS framework based on SRK framework. A combat vehicle maintenance training system was developed into WBVRTS following the framework and structure. The proposed SRK framework for VR training system proved useful in guiding the design and development of the training materials. The study suggests that the design of VR as training tools should be based on user interaction and cognitive theories that support effective learning.
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Authors: Po Tsang B. Huang, James C. Chen, Chiuhsiang Joe Lin, Peng Hua Lyu, Bo Chen Lai
Abstract: The use of CNC machines is one of the successful factors in the computer integrated manufacturing (CIM). Even though the CNC machine can automatically perform the machining processes, some of the situations that may significantly influence the quality of product such as a cutting tool breakage. Therefore, to prevent the machine from damaging and ensure the quality of product, it is important to develop a system that can monitor the tool conditions. The purpose of this study is to develop a Taguchi-neural-based in-process tool breakage monitoring system in end milling operations that can monitor the tool conditions and immediately response a proper action. For an in-process tool breakage monitoring system, a neural network was applied to making decisions of monitoring. One of the disadvantages of neural network is the training processes. It is difficult to determine an optimal combination of training parameters of neural networks. Traditionally, the try-and-error method is time-consuming and without systematic base. Therefore, the optimization of training parameters for neural networks using Taguchi design was applied to training the neural network model and to enhance the accuracy of the tool breakage monitoring system.
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Authors: Chiuhsiang Joe Lin, Shiau Feng Lin, Rou Wen Wang, Tien Lung Sun, Chin Jung Chao, Wen Yang Feng, Feng Yi Tseng
Abstract: Selecting a right way to display the conceptual design results is an important issue for designers. This study evaluated three common computerized visual presentation methods for demonstrating the conceptual ideas of product designs. They are pictures, animations, and image-based VR. After evaluations, this study found that the image-based VR reached the best results of getting the ideas of the conceptual design. It is therefore suggested to use the image-based VR approach if designers wish to receive the most possible advices and feedback, especially in restricted presenting time. The image-based VR approach will help users understand many aspects and considerations of the designer’s conceptual ideas more easily and quickly.
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Authors: James C. Chen, Shu Jen Hu, Po Tsang B. Huang, Chiuhsiang Joe Lin, Kuo Jung Chao, Chih Cheng Chen
Abstract: A Finite Capacity Planning Policy (FCPP) is developed for multiple color filter (CF) fabs where each fab has several identical production lines. FCPP assigns customer orders to multiple fabs and multiple lines by taking into account each fab’s available capacity and Work-In-Process (WIP) level, as well as each order’s batch size, product type, process routing, and processing time. After all orders are assigned to fabs and lines, order release time and finish time are determined by the implementation of several modules. FCPP is developed in Microsoft Visual Basic for Application (VBA), and an AutoMod simulation model is also developed. A company with two CF fabs and two lines at each fab is treated as a case study, and industrial data from these fabs are collected and used to evaluate the performance of FCPP based on the design of experiments. Preliminary simulation results show that FCPP can effectively and efficiently balance the loading between fabs and also balance the loading between lines in each fab.
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