Chien Hsin University of Science and Technology
Taoyuan, Taiwan

Ching Yun University(traditional Chinese: 清雲科技大學; simplified Chinese: 清云科技大学; Tongyong Pinyin: Chingyún Dàsyué; Hanyu Pinyin: Qīngyún Dàxué; Wade–Giles: Ch'ing-yun Ta-hsüeh; Pe̍h-ōe-jī: Chheng-hûn Tāi-ha̍k; Zhuyin Fuhao: ㄑㄧㄥ ㄩㄣˊ ㄉㄚˋ ㄒㄩㄝˊ; Hakka: Ciàng-iŭn Tai-hok; abbreviation CYU)is a university in Zhongli City, Taoyuan County, Taiwan. CYU is also known as Ching Yun Tech . Wikipedia.

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Decety J.,University of Chicago | Yang C.-Y.,Chien Hsin University of Science and Technology | Cheng Y.,National Yang Ming University
NeuroImage | Year: 2010

Watching or imagining other people experiencing pain activates the central nervous system's pain matrix in the observer. Without emotion regulation skills, repeated exposure to the suffering of others in healthcare professionals may be associated with the adverse consequences of personal distress, burnout and compassion fatigue, which are detrimental to their wellbeing. Here, we recorded event-related potentials (ERP) from physicians and matched controls as they were presented with visual stimuli depicting body parts pricked by a needle (pain) or touched by a Q-tip (no-pain). The results showed early N110 differentiation between pain and no-pain over the frontal area as well as late P3 over the centro-parietal regions were observed in the control participants. In contrast, no such early and late ERP responses were detected in the physicians. Our results indicate that emotion regulation in physicians has very early effects, inhibiting the bottom-up processing of the perception of pain in others. It is suggested that physicians' down-regulation of the pain response dampens their negative arousal in response to the pain of others and thus may have many beneficial consequences including freeing up cognitive resources necessary for being of assistance. © 2010 Elsevier Inc.

Lee C.-C.,Chien Hsin University of Science and Technology
Journal of Geophysical Research: Space Physics | Year: 2011

This study examines the variations in F2 layer thickness parameter (B0) in September from 2003 to 2008. The B0 data are derived from the observed ionograms at Jicamarca (12°S, 76.9°W), located near the dip equator. Results show the maximum B0 (B0max) at 1200 LT decreases from 2003 to 2007 with a deceasing solar activity, except 2008. It is noted that the solar activities are extremely low in September 2008. This anomaly, appearing in B0 max, does not occur in two other F2 layer parameters, the density and height of F2 peak. The plasma densities at fixed altitudes are studied to explore what causes the B0max anomaly in September 2008. There is an obvious discrepancy appearing in the rate of decrease (R) of plasma density between at the F2 peak and 200 km. Through considering the relationship of terms in the analytical function of bottomside F2 layer profile, this R discrepancy would be mainly responsible for the B0max anomaly in September 2008. Copyright © 2011 by the American Geophysical Union.

Lee C.-K.,Chien Hsin University of Science and Technology
Materials Science and Engineering B: Solid-State Materials for Advanced Technology | Year: 2012

This study elucidated structure and mechanical properties of the electroplated hydroxyapatite/nano-TiO 2 composite coatings on Ti-6Al-4V alloy. Their effect on the corrosion and wear corrosion resistance in Hanks' solution was examined as well. The anodizing process was performed on Ti-6Al-4V alloy surface to enhance the adhesion of these composite coatings on Ti alloy. Anodizing treatment was then conducted at 10 V at room temperature with different times of 40, 50, 60, 120 and 180 min. Experimental results indicate that the hardness of Ti-6Al-4V alloy was increased due to the anodizing treatment, capable of improving the adhesion of electroplated calcium phosphate coating in addition to the electroplated hydroxyapatite/nano-TiO 2 composite coatings. Additionally, the coatings on anodic substrate exhibited a higher uniformity and Ca/P ratio and thickness than that on nonanodized substrate. The nano-TiO 2 particles could be co-deposited on the Ti-6Al-4V alloys and capable of reinforcing the hydroxyapatite coating, subsequently increasing the hardness and refining the structure. Moreover, the corrosion and wear corrosion resistance of the electroplated hydroxyapatite/nano-TiO 2 composite coatings were also improved significantly when increasing the duration of anodizing alloy substrates. © 2012 Elsevier B.V. All rights reserved.

Lee C.K.,Chien Hsin University of Science and Technology
Tribology International | Year: 2012

Carbon nanotubes (CNT) have received considerable interest in many industries, but composite coatings of CNTs have not yet been sufficiently developed for use in biomedical implants. This investigation elucidates the wear and corrosion behavior of electroplated Ni/CNT composite coatings on Ti-6Al-4V alloy in Hanks' solution. Experimental results indicate that the CNTs in an electroplated Ni/CNT composite coating increase its hardness to 98.5% higher than that of a pure Ni coating. Additionally, an Ni/CNT composite coating can form stable and dense passive film, which significantly improves wear and corrosion in Hanks′ solution. © 2012 Elsevier Ltd All rights reserved.

Lu C.-J.,Chien Hsin University of Science and Technology
Expert Systems with Applications | Year: 2010

The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In this paper, an integrated independent component analysis (ICA)-based denoising scheme with neural network is proposed for stock price prediction. The proposed approach first uses ICA on the forecasting variables to generate the independent components (ICs). After identifying and removing the ICs containing the noise, the rest of the ICs are then used to reconstruct the forecasting variables. The reconstructed forecasting variables will contain less noise information and are served as the input variables of the neural network model to build the forecasting model. The TAIEX closing index and Nikkei 225 opening index are used as illustrative examples to evaluate the performance of the proposed model. Experimental results show that the proposed model outperforms the integrated wavelet denoising technique with BPN model, the BPN model with non-filtered forecasting variables, and a random walk model. © 2010 Elsevier Ltd. All rights reserved.

Lu C.-J.,Chien Hsin University of Science and Technology
Neurocomputing | Year: 2014

Since computer products are highly replaceable and consumer demand often changes dramatically with the invention of new computer products, sales forecasting is therefore always crucial for computer product sales management. When constructing a sales forecasting model, discussing and understanding the important predictor variables can help focus on improving sales management efficacy. Aiming at to select appropriate predictor variable and construct effective forecasting model, this study combines variable selection method and support vector regression (SVR) to construct a hybrid sales forecasting model for computer products. In order to evaluate the feasibility and performance of the proposed approach, this study compiles the weekly sales data of five computer products including Notebook (NB), Liquid Crystal Display (LCD), Main Board (MB), Hard Disk (HD), and Display Card (DC) from a computer product retailer as the illustrative example. The experimental results indicate that the proposed hybrid sales forecasting scheme can not only provide a better forecasting result than the four competing models in terms of forecasting error, but also exhibit the capability of identifying important predictor variables. Furthermore, useful information can be provided by discussing the identified predictor variables for the five different computer products, thereby increasing sales management efficacy. © 2013 Elsevier B.V.

Chou F.-D.,Chien Hsin University of Science and Technology
International Journal of Production Economics | Year: 2013

This paper addresses the problem of multiprocessor task-scheduling in a hybrid flow shop (HFS) problem to minimize the makespan. Due to the complex nature of an HFS problem, it is decomposed into the following two sequential decision problems: determining the job permutation in stage 1, followed by a decoding method to assign jobs into each machine in subsequent stages when designing a heuristic algorithm. The decoding method plays a pivotal role for improving the solution quality of any algorithm for the HFS problem. However, the majority of existing algorithms ignores the problem and is only concerned with the first decision problem. This study emphasizes the importance of the decoding method via a small test, and searches for a number of solid decoding methods that can be incorporated into the cocktail decoding method. Then, this study develops a particle swarm optimization (PSO) algorithm that can be combined with the cocktail decoding method. In the PSO, a variety of job sequences are generated using the PSO procedure in stage 1, and the cocktail decoding method is used to assign the jobs to machines in sequential stages. Moreover, a modified lower bound is introduced. Computational results show that the proposed lower bound is competitive, and with the help of the cocktail decoding method, the proposed PSO, and even the adoption of a standard PSO framework, significantly outperforms the majority of existing algorithms in terms of quality of solutions, especially for large problems. © 2012 Elsevier B.V. All rights reserved.

Hsueh C.-F.,Chien Hsin University of Science and Technology
International Journal of Production Economics | Year: 2011

This paper investigates inventory control policies in a manufacturing/remanufacturing system during the product life cycle, which consists of four phases: introduction, growth, maturity, and decline. Both demand rate and return rate of products are random variables with normal distribution; the mean of the distribution varies according to the time in the product life cycle. Closed-form formulas of optimal production lot size, reorder point, and safety stock in each phase of the product life cycle are derived. A numerical example is presented with sensitivity analysis. The result shows that different inventory control policies should be adopted in different phases of the product life cycle. It is also found that the optimal production lot size and reorder point are not sensitive to the phase length and the demand changing rate. © 2011 Elsevier B.V. All right reserved.

Hsueh C.-F.,Chien Hsin University of Science and Technology
International Journal of Production Economics | Year: 2014

Due to the social and environmental impacts of industrial activities in supply chains, corporate social responsibility (CSR) has become critical for many international companies. This paper aims to integrate CSR into supply chain coordination. A new revenue sharing contract embedding corporate social responsibility (RS-CSR) is proposed for coordinating a two-tier supply chain. The RS-CSR contract requires that the manufacturer invest in CSR and charge the retailer a wholesale price. After the retailer sells products, it will return a ratio of its revenue to the manufacturer. A mathematical model is proposed to determine the optimal CSR investment, the wholesale price, and the revenue sharing ratio such that channel coordination is achieved. Two different objectives of the supply chain are discussed: profit maximizing and CSR performance maximizing. Numerical examples show that the RS-CSR contract can simultaneously achieve the following objectives under proper parameter settings: (1) improve CSR performance; (2) improve total supply chain profits; (3) ensure that each partner in the supply chain can benefit from the contract. The RS-CSR contract can be designed to achieve different level of CSR performance, subject to corporate culture of the SC and how the SC expects its profits and CSR performance. This study also provides theoretical support and operational procedures for SC managers to integrate CSR into business routines. © 2013 Elsevier B.V.

Yang C.-T.,Chien Hsin University of Science and Technology
International Journal of Production Economics | Year: 2014

In this paper, we develop an inventory model under a stock-dependent demand rate and stock-dependent holding cost rate with relaxed terminal conditions. Shortages are allowed and partially backlogged in the model. The purpose of this study is to determine the optimal order quantity and the ending inventory level such that the total profit per unit time is maximized for the retailer. We first establish a proper model for a mathematical formulation. Then we develop several theoretical results and provide the decision-maker with an algorithm to determine the optimal solution. Finally, numerical examples are provided to illustrate the solution procedure, and a sensitivity analysis of the optimal solution with respect to major parameters is carried out. © 2014 Elsevier B.V. All rights reserved.

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