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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.

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. Source

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. Source

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. Source

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. Source

Hsueh C.-F.,Chien Hsin University of Science and Technology
Computers and Industrial Engineering | Year: 2010

This paper proposes a new design for a bi-directional automated guided vehicle (AGV) system, in which two AGVs can exchange their loads, their scheduled transportation tasks, and even their vehicle numbers when they move in opposite directions. With this load-exchangeable AGV (EX-AGV) system, common problems such as conflicts and deadlocks will not occur; therefore, the load of an AGV is always on its shortest path, resulting in higher system performance and avoiding unnecessary waiting times and detours. An off-line mathematical model and on-line control rules are proposed for the EX-AGV system. A series of simulation experiments is carried out; the results show that the EX-AGV system performs efficiently and robustly. © 2009 Elsevier Ltd. All rights reserved. Source

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