• Title/Summary/Keyword: Hsinchu

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ON THE STRUCTURE AND LEARNING OF NEURAL-NETWORK-BASED FUZZY LOGIC CONTROL SYSTEMS

  • C.T. Lin;Lee, C.S. George
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.993-996
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    • 1993
  • This paper addresses the structure and its associated learning algorithms of a feedforward multi-layered connectionist network, which has distributed learning abilities, for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed neural-network-based fuzzy logic control system (NN-FLCS) can be contrasted with the traditional fuzzy logic control system in their network structure and learning ability. An on-line supervised structure/parameter learning algorithm dynamic learning algorithm can find proper fuzzy logic rules, membership functions, and the size of output fuzzy partitions simultaneously. Next, a Reinforcement Neural-Network-Based Fuzzy Logic Control System (RNN-FLCS) is proposed which consists of two closely integrated Neural-Network-Based Fuzzy Logic Controllers (NN-FLCS) for solving various reinforcement learning problems in fuzzy logic systems. One NN-FLC functions as a fuzzy predictor and the other as a fuzzy controller. As ociated with the proposed RNN-FLCS is the reinforcement structure/parameter learning algorithm which dynamically determines the proper network size, connections, and parameters of the RNN-FLCS through an external reinforcement signal. Furthermore, learning can proceed even in the period without any external reinforcement feedback.

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Comparison of Relative Risk before and after SEMI S2-93A Implementation: Using a Semiconductor Plant in a Taiwan's Science Park as an Example

  • Tien, Shiaw-Wen;Chung, Yi-Chan;Tsai, Chihj-Hung;Hwang, Guo-Ji
    • International Journal of Quality Innovation
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    • v.6 no.1
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    • pp.58-73
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    • 2005
  • The objective of this study is to evaluate the equipment risk before and after SEMI S2-93A implementation, thus providing a guideline for safety improvement. Semiconductor Plant A located in Taiwan's Hsinchu Science Based Industrial Park with 147 manufacturing machines was used for risk assessment. This study was carried out in three steps. First, a preliminary hazard analysis was conducted. A detailed process safety evaluation was conducted (Hazard and Operability Study, HAZOP); and finally, the equipment risk comparison before and after Semiconductor Equipment Manufacturing Instruction (SEMI S2-93A) implementation. The preliminary hazard analysis results showed high risk in 21.77% of the manufacturing machines under risk assessment at Plant A. The largest percentage existed in the Diffusion Department. The machine types specified by the hazardous work site review and inspection according to Article 26 of Labor Inspection Regulation (the machines that use such chemicals as, $SiH_4$, HF, HCL, etc. and that are determined to be highly hazardous through preliminary hazard analysis) were added to the detailed process analysis and evaluation. In the third part of this evaluation, the machines at Plant A used for detailed process safety assessment were divided into two groups based on the manufacturing data before and after 1993. The severity, possibility, and actual accident analysis before and after SEMI S2-93A implementation were compared. The Semiconductor Equipment Manufacturing Instruction (SEMI S2-93A) implementation can reduce the severity and possibility of hazard occurrence.

ENHANCING THE PRECISION OF GPS STATIC RELATIVE POSITIONING USING THE OCEAN TIDE LOADING CORRECTION

  • Yeh, Ta-Kang;Chang, Ming-Han;Liou, Yuei-An;Chen, Chun-Sung
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.756-759
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    • 2006
  • The ocean tide loading (OTL) is an important factor for the GPS positioning, especially in the height direction. The shorter of the distance to the ocean, the larger of the error by the OTL. The influence will be changed when we measure in different place and the order of magnitude is from few centimeters to ten centimeters. In this study, more than ten kinds of the OTL models were collected and applied on the GPS static relative positioning in Taiwan. The GPS observations including five stations were obtained from Nov. 9, 2004 to Feb. 23, 2005 and we used the Bernese GPS software to execute the data processing. In this period, the average amplitudes of the 3-D coordinates are as follows: N is 0.4 cm, E is 0.7 cm, h is 1.8 cm at Kinmen station; N is 0.7 cm, E is 1.3 cm, h is 2.3 cm at Lanyu station; N is 0.5 cm, E is 0.7 cm, h is 2.0 cm at Matsu station; N is 0.6 cm, E is 0.6 cm, h is 2.0 cm at Penghu station and N is 0.5 cm, E is 1.2 cm, h is 1.7 cm at Hsinchu station. Moreover, we will analyze the advantage and disadvantage of every kind of the OTL models in different environments to offer some information to the GPS users and enhance the precision of the GPS positioning.

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Towards Evolution of Innovation System of Korean IT SoC Industry: Comparing Experiences of Korea and Taiwan (국내 IT SoC산업의 혁신체제 발전방안: 대만과의 비교 관점에서)

  • Min, Wan-Kee;Oh, Wan-Keun;Hwang, Jin-Young
    • Journal of Korea Technology Innovation Society
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    • v.11 no.4
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    • pp.565-591
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    • 2008
  • Using theories of sectoral innovation system and supply chain management, this paper examines the status quo of Korean IT SoC industry's innovation system by comparing it with Taiwanese one. Taiwan IT SoC industry has accomplished a rapid growth on the basis of government policies that foster domestic firms after the establishment of Hsinchu Science Park. Cooperative networks between foundries firms and fablesses have been formed within the supply chain in this process. Therefore, Taiwan industry has possessed the possibility of the coevolution in sectoral innovation system. However, Korean IT SoC industry has failed to form cooperative networks, because of weak networks between related firms. In other words, there exists an interaction failure, which is a kind of the system failure, and it means a lack of linkage between actors as a result of insufficient use of complementarities and interactive learning. Therefore, Korean industry has little possibility of the coevolution in sectoral innovation system. The cooperative networks between actors are prerequisite towards evolution of innovation system of Korean IT SoC industry. Above all, the cooperative networks between fablesses and system companies need to be strengthened within the supply chain.

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