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The Determinants of South Korea’s Trade Balance: A Cointegrating Regression Approach
Ting-Huan Chang,Jun-De Lee,Yi-Hsien Wang 한국무역학회 2012 Journal of Korea trade Vol.16 No.3
This paper examines the key determinants of South Korea’s trade balance using three fully efficient cointegrating regression methods. We find that the trade balance, foreign income, money supply, real effective exchange rate, and domestic income are cointegrated. Consistent with the Marshall-Lerner condition, appreciation in the real effective exchange rate is negatively related to the trade balance. Our results have important implications for using exchange rate policy as a device to achieve trade balance.
Huan-Chan Ting,Jeang-Lin Chang,Yon-Ping Chen 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.6
For time-delay systems with mismatched disturbances and uncertainties, this paper develops an integral sliding mode control algorithm using output information only to stabilize the systems. An integral sliding surface is comprised of output signals and an auxiliary full-order compensator. The proposed output feedback sliding mode controller can satisfy the reaching and sliding condition and maintain the system on the sliding surface from the initial moment. When two specific algebraic Ric-cati inequalities have solutions, our method can guarantee the stability of the closed-loop system and satisfy the property of robust disturbance attenuation. Moreover, the design parameters of controller and compensator can be simultaneously determined by solutions to the algebraic Riccati inequalities. Finally, two numerical examples illustrate the applicability of the proposed scheme.
Huan-Chan Ting,Jeang-Lin Chang,Yon-Ping Chen 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.5
This paper considers the problem of estimating the state of an MIMO linear system with unknown inputs in the state and output. Through a series of linear transformations in the state and output equations, the original system can be transformed into a descriptor system form. The proposed propor-tional derivative observer can accurately estimate the system state and avoid the peaking phenomenon. Moreover, the approach developed in this paper does not require the derivatives of the output and can be applied to the system with unstable zeros (with respect to the relation between the output and the unknown input). Finally, our algorithm can prove the valid feasibility and the property of disturbance attenuation through demonstrating a simulation-base example.
Ya-Ting Chang,Ying-Ying Yang,Chung-Pin Li,Chen-Huan Chen 한국보건의료인국가시험원 2022 보건의료교육평가 Vol.19 No.-
Purpose In 2013, medical schools in Taiwan implemented a 6-year medical program that replaced the previous 7-year medical education program. The postgraduate year (PGY) program was also extended from 1 year to 2 years. The new program is characterized by diversified teaching, integration of medical skills, a system-oriented curriculum, and the implementation of primary care and clinical thinking training. The purpose of this study was to examine whether postgraduate residents who learned under the new program have better patient care skills than those who learned under the previous program. Methods Of 101 residents in the PGY program at Taipei Veterans General Hospital, 78 were trained in the 6-year program, while 23 were trained in the 7-year program. During the PGY training, 2 objective structured clinical examinations (OSCEs) were used to evaluate clinical reasoning, communication skills, and procedural skills at the beginning of the training and after 11 months of training, respectively. The scores of each OSCE and the rate of improvement of the pre- and post-tests were analyzed. Results Residents trained in the new program scored higher on clinical reasoning (P<0.001) and the total scores of the 3 tested skills (P=0.019) on the pre-test. In terms of improvement, residents educated in the previous system improved more in clinical reasoning than those educated in the new education system. Conclusion The new medical education program, which emphasizes clinical thinking, improved residents’ clinical skills. The PGY program was effective in improving the clinical performance of residents who were educated in the previous system.
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.