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Taichung, Taiwan

Chaoyang University of Technology is a university in Wufeng District, Taichung, Taiwan. Founded in 1994. Originally named Chaoyang Institute of Technology. In 1997, CYUT was designated by the Ministry of Education as a University of Technology, the highest level in the technological and vocational education system within the R.O.C.Currently, the University comprises 5 colleges and 22 departments, which offer 19 master's programs and 5 doctoral programs. The number of students currently enrollment is around 17,000, and the faculty and staff is about 1,000 in total. CYUT’s excellent teachers and facilities have been readily receiving recognition. With its goal of becoming a large type of institution of higher learning. Wikipedia.


Chiu S.W.,Chaoyang University of Technology
Computers and Operations Research | Year: 2010

This study is concerned with robust planning in optimization, specifically in determining the optimal run time for production system that is subject to random breakdowns under abort/resume (AR) control policy and failure in rework. In most real-life production processes, generation of defective items and breakdowns of manufacturing equipment are inevitable. In this study, random defective rate is assumed and all manufactured items are screened. The perfect quality, reworkable and scrap items are identified and separated; failure-in-rework is assumed. The system is also subject to random machine breakdown; and when it occurs, the AR policy is adopted. Under such policy, the production of the interrupted lot will be immediately resumed when the machine is restored. Mathematical modeling and derivation of the production-inventory cost functions for both systems with/without breakdowns are presented. The renewal reward theorem is used to cope with the variable cycle length when integrating cost functions. The long-run average cost per unit time is obtained. Theorems on convexity and on bounds of production run time are proposed and proved. A recursive searching algorithm is developed for locating the optimal run time that minimizes the expected production-inventory costs. A numerical example with sensitivity analysis is provided to give insight into the optimal operational control of such an unreliable system. © 2009 Elsevier Ltd. All rights reserved. Source


Hsieh F.-S.,Chaoyang University of Technology
Decision Support Systems | Year: 2010

Recently, researchers have proposed decision support tool for generating suggestions for bids in combinatorial reverse auction based on disclosure of bids. An interesting issue is to design an effective mechanism to guide the bidders to collectively minimize the overall cost without explicitly disclosing the bids. We consider a winner determination problem for combinatorial reverse auction and study how to support the bidders' decisions without explicitly disclosing the bids of others. We propose an information revelation scheme for a buyer to guide the sellers to generate potential winning bids to minimize the overall cost. The main results include: (1) a problem formulation for the combinatorial reverse auction problem; (2) a solution methodology based on Lagrangian relaxation; (3) a scheme to guide the sellers to generate potential winning bids for the bidders in multi-round combinatorial reverse auctions based on revelation of Lagrangian multipliers; (4) a heuristic algorithm for finding a near-optimal feasible solution and (5) results and analysis of our solution algorithms. © 2009 Elsevier B.V. All rights reserved. Source


Chen L.-H.,Chaoyang University of Technology
Computers and Education | Year: 2010

To consider how Web-based learning program is utilized by learners with different cognitive styles, this study presents a Web-based learning system (WBLS) and analyzes learners' browsing data recorded in the log file to identify how learners' cognitive styles and learning behavior are related. In order to develop an adapted WBLS, this study also proposes a design model for system designers to tailor the preferences linked with each cognitive style. The samples comprise 105 third-grade Accounting Information System course students from a technology university in central Taiwan. Analytical results demonstrate that learners with different cognitive styles have similar but linear learning approaches, and learners with different cognitive styles adopt different navigation tools to process learning. © 2009 Elsevier Ltd. All rights reserved. Source


Ko H.-C.,Chaoyang University of Technology
Electronic Commerce Research and Applications | Year: 2013

The popularity and growth of social networking sites (SNSs) have resulted in fierce competition among SNS providers. A critical concern of SNSs is to identify how to have users continuously use a specific SNS. This study examines the determinants of journal-type bloggers' continuous self-disclosure. An analysis of 283 samples with continuous self-disclosure experiences in journal-type blogs shows that personal factors, specifically the habit of self-disclosure, are the major factors affecting bloggers' continuous self-disclosure, followed by self-benefits. In contrast, social factors, such as positive audience feedback and social benefits, are not related to continuous self-disclosure. These results suggest that SNS providers must encourage users to develop the habit of using their web sites regularly. By providing differential benefits to users, SNS providers may attract users to continuously use their services. © 2012 Elsevier B.V. All rights reserved. Source


Chen L.-H.,Chaoyang University of Technology
Computers and Education | Year: 2011

Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately assessing and representing student knowledge structures. The personalized diagnosis and remedial learning system (PDRLS) proposed in this study enhances the effectiveness of the Pathfinder network by providing remedial learning paths for individual learners based on their knowledge structure. The sample was 145 students enrolled in introductory JAVA programming language courses at a Central Taiwan technology university. The experimental results demonstrate that learners who received personalized remedial learning guidance via PDRLS achieved improved learning performance, self-efficacy, and PDRLS use intention. The experimental results also indicated that students with lower knowledge level gain more benefits from the PDRLS than those with higher level of knowledge and that field dependence (FD) students obtain a greater benefit from PDRLS than field independence (FI) students do. © 2010 Elsevier Ltd. All rights reserved. Source

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