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Grey Neural Network-Based Forecasting System for Vision-Guided Robot Trajectory Tracking
Shih-Hung Yang,Chung-Hsien Chou,Chen-Fang Chung,Wen-Pang Pai,Tse-Han Liu,Yung-Sheng Chang,Jung-Che Li,Huan-Chan Ting,Yon-Ping Chen 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
This paper presents a grey neural network-based forecasting system (GNNFS) in solving the prediction problem. GNNFS adopts a grey model to predict the signal and a neural network (NN) to forecast the prediction error of the grey model. A sequential batch learning (SBL) is developed to adjust the weights of the NN. The proposed GNNFS is applied to a binocular robot, called an Eye-Robot, for human-robot interaction which involved predicting the trajectory of a participant’s hand and tracking the hand. By applying the SBL, the GNNFS can gradually learn to predict the trajectory of the hand and track it well. The experimental results show that the GNNFS can carry out the SBL in real-time for vision-guided robot trajectory tracking.
Concrete compressive strength identification by impact-echo method
Chi-Che Hung,Wei-Ting Lin,An Cheng,Kuang-Chih Pai 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.20 No.1
A clear correlation exists between the compressive strength and elastic modulus of concrete. Unfortunately, determining the static elastic modulus requires destructive methods and determining the dynamic elastic modulus is greatly complicated by the shape and size of the specimens. This paper reports on a novel approach to the prediction of compressive strength in concrete cylinders using numerical calculations in conjunction with the impact-echo method. This non-destructive technique involves obtaining the speeds of P-waves and S-waves using correction factors through numerical calculation based on frequencies measured using the impact-echo method. This approach makes it possible to calculate the dynamic elastic modulus with relative ease, thereby enabling the prediction of compressive strength. Experiment results demonstrate the speed, convenience, and efficacy of the proposed method.
Development of IGZO TFTs and Their Applications to Next-Generation Flat-Panel Displays
Hsing-Hung Hsieh,Hsiung-Hsing Lu,Hung-Che Ting,Ching-Sang Chuang,Chia-Yu Chen,Yusin Lin 한국정보디스플레이학회 2010 Journal of information display Vol.11 No.4
Organic light-emitting devices (OLEDs) have shown superior characteristics and are expected to dominate the nextgeneration flat-panel displays. Active-matrix organic light-emitting diode (AMOLED) displays, however, have stringent demands on the performance of the backplane. In this paper, the development of thin-film transistors (TFTs) based on indium gallium zinc oxide (IGZO) on both Gen 1 and 6 glasses, and their decent characteristics, which meet the AMOLED requirements,are shown. Further, several display prototypes (e.g., 2.4” AMOLED, 2.4” transparent AMOLED, and 32” AMLCD) using IGZO TFTs are demonstrated to confirm that they can indeed be strong candidates for the next-generation TFT technology not only of AMOLED but also of AMLCD (active-matrix liquid crystal display)
Wei-Che Hsieh,Yu-Nong Lin,Ting-Chien Lin,Chun-Hung Hans Lin 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1
Fucosyltransferases (FucTs) usually catalyze the final step of glycosylation and are critical to many biological processes. High levels of specific FucT activities are often associated with various cancers. Here we report the development of a chemoenzymatic method for synthesizing a library of GDP-L-fucose derivatives, followed by in situ screening for inhibitory activity against bacterial and human -1,3-FucTs (4). Several compounds incorporating appropriate hydrophobic moieties were identified from the initial screening. These were individually synthesized, purified and characterized in detail for their inhibition kinetics. Compound 5 had a Ki of 29 nM for human FucT-VI, and is 269 and 11 times more selective than for Helicobacter pylori FucT (Ki = 7.8 □ M) and for human FucT-V (Ki = 0.31 □ M).
Development of IGZO TFTs and Their Applications to Next-Generation Flat-Panel Displays
Hsieh, Hsing-Hung,Lu, Hsiung-Hsing,Ting, Hung-Che,Chuang, Ching-Sang,Chen, Chia-Yu,Lin, Yusin The Korean Infomation Display Society 2010 Journal of information display Vol.11 No.4
Organic light-emitting devices (OLEDs) have shown superior characteristics and are expected to dominate the nextgeneration flat-panel displays. Active-matrix organic light-emitting diode (AMOLED) displays, however, have stringent demands on the performance of the backplane. In this paper, the development of thin-film transistors (TFTs) based on indium gallium zinc oxide (IGZO) on both Gen 1 and 6 glasses, and their decent characteristics, which meet the AMOLED requirements, are shown. Further, several display prototypes (e.g., 2.4" AMOLED, 2.4" transparent AMOLED, and 32" AMLCD) using IGZO TFTs are demonstrated to confirm that they can indeed be strong candidates for the next-generation TFT technology not only of AMOLED but also of AMLCD (active-matrix liquid crystal display).