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Pingtung, Taiwan

National Pingtung University of Science and Technology is a public university in Neipu Township, Pingtung County, Taiwan. NPUST occupies the in all of Taiwan. It was established in April 1924 and over the years it has undergone several restructurings and name-changes. The current name of National Pingtung University of Science and Technology was adopted in August 1997. The university is the university in Taiwan to host a Rescue Center for Endangered Wild Animals, Shelter for Stray Dogs and Working Dog Training School. In addition to the Neipu Campus, NPUST also has additional land in Kenting National Park and Taitung County. Wikipedia.


Chen K.-Y.,National Pingtung University of Science and Technology
Expert Systems with Applications | Year: 2011

Much research shows that combining forecasts improves accuracy relative to individual forecasts. However, existing non-tourism related literature shows that combined forecasts from a linear and a nonlinear model can improve forecasting accuracy. This paper combined the linear and nonlinear statistical models to forecast time series with possibly nonlinear characteristics. Real time series data sets of Taiwanese outbound tourism demand were used to examine the forecasting accuracy of the combination models. The forecasting performance was compared among three individual models and six combination models, respectively. Among these models, the normalized mean square error (NMSE) and the mean absolute percentage error (MAPE) of the combination models were the lowest. The combination models were also able to forecast certain significant turning points of the test time series. Thus, this paper suggests that forecast combination can achieve considerably better predictive performances and show promising results in directional change detects ability in the tourism context. Besides, the empirical results also clearly show that how a high forecasting accuracy and an excellent directional change detect ability could be achieved by the SVR combination models. © 2011 Published by Elsevier Ltd. Source


Ko C.-H.,National Pingtung University of Science and Technology
Automation in Construction | Year: 2010

Effective monitoring of personnel movements, material locations, and construction equipment has always been a topic of concern in construction management. Radio Frequency Identification (RFID) technology has been proven to increase efficiency for staff and materials management. The objective of this study is to develop a Three-Dimensional (3D) location sensing algorithm using RFID technology to analyze the possible location of objects. To achieve this goal, this research first establishes an indoor wireless sensing network to collect Received Signal Strength Indication (RSSI). The distance between the antenna and target tag is calculated based on RSSI. The gradient decent method is then used to calculate the location of the electronic tag. The feasibility of this 3D positioning algorithm is verified using a real case. The experiment proves that the location sensing algorithm established in this study can gradually approach the actual location of the target tag. This research is one of the first studies for 3D location sensing with RFID application in the construction industry. The proposed RFID 3D sensing algorithm can be used to assist construction managers in locating the positions of relevant personnel, equipment, apparatus and materials, enhancing management efficiency and safety. © 2010 Elsevier B.V. All rights reserved. Source


Hsiung C.-M.,National Pingtung University of Science and Technology
Journal of Engineering Education | Year: 2010

BACKGROUND: Considerable evidence exists to suggest that students who study cooperatively reap significant benefits in terms of their learning performance. However, sooner or later, most cooperative learning teams have to deal with one or more members whose actions disturb the team. Unless these problems are quickly resolved, the cooperative learning team gradually becomes dysfunctional and the benefits of cooperative learning are diminished. PURPOSE (HYPOTHESIS): A method is proposed for identifying dysfunctional cooperative learning teams by comparing the academic achievement of students in a cooperative learning condition with that of students in an individual learning condition. DESIGN/METHOD: A series of experiments were performed in which 42 sophomore mechanical engineering students were randomly assigned to the two learning conditions and were formed into mixed-ability groups comprising three team members. The academic performance of the students in the two learning conditions was then systematically compared in terms of their respective test scores. RESULTS: Dysfunctional teams were identified using a new quality index defined as the mean test score of the team divided by the standard deviation of the team members' test scores. The probability of a Type I error was quantified using a control chart. The identification results were verified by analyzing the students' off-task behavior frequency and attitudes toward cooperative learning, respectively. CONCLUSIONS: The experimental results confirm that the proposed quality index is a potential indicator of dysfunctional cooperative learning teams. Source


Tsao L.C.,National Pingtung University of Science and Technology
Journal of Alloys and Compounds | Year: 2011

A Sn3.5Ag0.5Cu-0.5nano-TiO2 composite lead-free solder was prepared by adding 20 nm TiO2 to Sn3.5Ag0.5Cu (wt.%) solder. This study investigates the morphology of the intermetallic compounds (IMCs) formed during the soldering reactions between Sn3.5Ag0.5Cu-0.5nano-TiO2 solder and Cu substrates at various temperatures ranging from 250 to 325 °C. The Cu6Sn5 grains formed in all soldering below 300 °C were scallop-type, while those formed at both 300 °C and 325 °C were prism-type in the early stage of soldering (less than 30 min). Also, Cu6Sn5 grains that formed at both 300 °C and 325 °C changed from prism-type to scallop-type with increasing soldering time. It is quite interesting that the morphology of Cu6Sn5 grains affects absorption by nano-Ag3Sn particles. Especially, the scallop-type Cu6Sn5 grains formed by the ripening process are likely to be "captured" by the large amount of nano-Ag 3Sn particles. These nanoparticles apparently decrease the surface energy and hinder the growth of the Cu6Sn5 IMC layer. In addition, the grain size of the nano-Ag3Sn compounds increased with increasing soldering temperature and time. All these results indicate that Gibbs absorption theory can be used to explain the formation of these nanoparticles and their effects on the surface energy of the IMCs. © 2010 Elsevier B.V. All rights reserved. Source


Tsao L.C.,National Pingtung University of Science and Technology
Journal of Alloys and Compounds | Year: 2011

This study investigated the effects of adding 0.5 wt.% nano-TiO2 particles into Sn3.5Ag0.5Cu (SAC) leadfree solder alloys on the growth of intermetallic compounds (IMC) with Cu substrates during solid-state isothermal aging at temperatures of 100, 125, 150, and 175 °C for up to 7 days. The results indicate that the morphology of the Cu6Sn5 phase transformed from scallop-type to layer-type in both SAC solder/Cu joints and Sn3.5Ag0.5Cu-0.5 wt.% TiO2 (SAC) composite solder/Cu joints. In the SAC solder/Cu joints, a few coarse Ag3Sn particles were embedded in the Cu6Sn5 surface and grew with prolonged aging time. However, in the SAC composite solder/Cu aging, a great number of nano-Ag3Sn particles were absorbed in the Cu 6Sn5 surface. The morphology of adsorption of nano-Ag 3Sn particles changed dramatically from adsorption-type to moss-type, and the size of the particles increased. The apparent activation energies for the growth of overall IMC layers were calculated as 42.48 kJ/mol for SAC solder and 60.31 kJ/mol for SAC composite solder. The reduced diffusion coefficient was confirmed for the SAC composite solder/Cu joints. © 2011 Elsevier B.V. All rights reserved. Source

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