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Yilan, Taiwan

Fo Guang University is a private university in Jiaoxi Township, Yilan County, Taiwan. It was founded by the Mahayana Buddhist Fo Guang Shan monastic order in 2000 and as such represents the culmination of education efforts of the order that started in 1963 with establishing Chinese Buddhist Research Institute at Fo Guang Shan.A gradual approach was adopted in developing the campus as a part of a plan for the overall area. The Ministry of Education granted approval on July 20, 2000, and the school formally opened in September that year. The Schools of Humanities and Sociology were the first to be founded during the initial phase of establishment. By introducing the undergraduate and postgraduate level of education, Fo Guang University is gradually developing into a full-rounded university. Currently, it comprises the College of Arts and Humanities, College of Social science and Management, College of Technology, and College of Buddhist Studies. All programs are taught in Chinese Mandarin, with the exception of the MA program in Buddhism Studies, which has both Chinese and English tracks. A new Center for Buddhist Studies will open in early 2013. As of 2012-2013 academic year, its total enrollment is 3,400 students, including undergraduate and graduate students. The university library holds more than 253,000 volumes. Wikipedia.

Lo J.-H.,Fo Guang University
Proceedings of the International Conference on Uncertainty Reasoning and Knowledge Engineering, URKE 2011

For more than three decades, Box and Jenkins' Auto-Regressive Integrated Moving Average (ARIMA) technique has been one of the most widely used linear models in time series forecasting. However, it is well documented that many software failure observations are nonlinear and ARIMA is a general univariate model developed based on the assumption that the time series data being predicted are linear. Therefore, in this study, the utilization of Support Vector Machine (SVM) as a nonlinear model and ARIMA as a linear model are integrated in software reliability forecasting. Experiments on real-world data set validate the effectiveness of the hybrid model. These results also show that the proposed methodology can be a more effective way in order to combine linear and nonlinear models together than traditional methodologies. Therefore, it can significantly improve the prediction performance and can be applied as an appropriate alternative approach for software reliability forecasting field, especially when higher prediction performance is needed. © 2011 IEEE. Source

Chou C.-Y.,Yuan Ze University | Huang B.-H.,Yuan Ze University | Lin C.-J.,Fo Guang University
Computers and Education

This study proposes a virtual teaching assistant (VTA) to share teacher tutoring tasks in helping students practice program tracing and proposes two mechanisms of complementing machine intelligence and human intelligence to develop the VTA. The first mechanism applies machine intelligence to extend human intelligence (teacher answers) to evaluate the correctness of student program tracing answers, to locate student errors, and to generate hints to indicate errors. The second mechanism applies machine intelligence to reuse human intelligence (previous hints that the teacher gave to other students in a similar error situation) to provide program-specific hints. Two evaluations were conducted with 85 and 64 participants, respectively. The evaluation results showed that the system helped above 89% of students correct their errors. The error-indicating hints generated by the first mechanism help students correct more than half of errors. Each teacher-generated hint was reused averagely three times by the second mechanism. The results also revealed that some error situations occurred frequently and occupied a major occurred percentage of student error situations. In sum, the VTA and these two mechanisms reduce teacher tutoring load and reduce the complexity of developing machine intelligence. © 2011 Elsevier Ltd. All rights reserved. Source

Huang Y.-J.,Tamkang University | Chen K.-H.,Fo Guang University | Yang C.-H.,National Central University
Energy Economics

This paper analyzes the cost efficiency and optimal scale of Taiwan's electricity distribution industry. Due to the substantial difference in network density, firms may differ widely in production technology. We employ the stochastic metafrontier approach to estimate the cost efficiency of 24 distribution units during the period 1997-2002. Empirical results find that the average cost efficiency is overestimated using the traditional stochastic frontier model, especially for low density regions. The average cost efficiency of the high density group is significantly higher than that of the low density group as it benefits from network economies. This study also calculates both short-term and long-term optimal scales of electricity distribution firms, lending policy implications for the deregulation of the electricity distribution industry. © 2009 Elsevier B.V. All rights reserved. Source

Suryani E.,National Taiwan University of Science and Technology | Chou S.-Y.,National Taiwan University of Science and Technology | Chen C.-H.,Fo Guang University
Expert Systems with Applications

This paper deals with how to develop a model to forecast air passenger demand and to evaluate some policy scenarios related with runway and passenger terminal capacity expansion to meet the future demand. System dynamics frameworks can be used to model, to analyze and to generate scenario to increase the system performance because of its capability of representing physical and information flows, based on information feedback control that are continuously converted into decisions and actions. We found that airfare impact, level of service impact, GDP, population, number of flights per day and dwell time play an important roles in determining the air passenger volume, runway utilization and total additional area needed for passenger terminal capacity expansion. © 2009 Elsevier Ltd. All rights reserved. Source

Hsu M.-J.,Fo Guang University
Publishing Research Quarterly

The main objective of this study was to understand the critically essential competences for digital publishing editors in digital era. The study firstly established a draft of the framework based on the literature review and document analysis in competences required for digital publishing editors, the draft in turn was used as the basis and merged with experts' opinions to establish the final Competence Framework. The study further designed the Delphi Technique Questionnaires according to the Competence Framework to obtain various competences deemed essential for digital publishing editors. The results of Delphi Technique Questionnaire Survey were 30 critically essential competences. © 2013 Springer Science+Business Media New York. Source

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