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Taipei, Taiwan

National Chengchi University is a public university located in Taipei City, Republic of China. Colloquially, NCCU is known by the Chinese as "ChengDà" . The school was founded by the Nationalist government of Nanjing in 1927 as an incubator for senior civil service in China. It has been considered one of the most important institutions of the Republic of China with Whampoa Military Academy, which is a prestigious incubator for commanders. Today, NCCU has been elected as the "Aim for the Top University Project" sponsored school of the Ministry of Education.NCCU specializes in Arts & Humanities, Social science, Management, Politics, and International Affairs programs. A great number of graduate students work in government departments.Today, NCCU has established an education system for students from pre-school to higher education, including a kindergarten, an elementary school, a high school, 9 colleges, and several graduate institutes. Wikipedia.


Chao D.Y.,National Chengchi University
IET Control Theory and Applications | Year: 2011

Deadlocks halt a system completely causing a significant financial loss to a company. To resolve this problem, deadlock prevention (by adding monitors to problematic siphons) has been quite a popular research. Uzam and Zhou applied region analysis to a well-known S3PR to achieve a near-maximum permissive control policy. However, they do not list the lost states, which is essential to improve the control model. The lost states can be obtained by reachability analysis, which is a rather tedious process. Without theory, one could waste much time failing to reach more states and there is no effective solution so far in the literature. Thus, it is important to find out the condition where more states can be reached. If no more states can be reached, one should simply stop and remain satisfied with the suboptimal model obtained or employ weighted control arcs to reach more states. It is desirable to compute the gain of states without the costly reachability analysis when an alternative control policy is employed. It is interesting to explore which live states are lost in the first-met bad marking (FBM) method, which has not yet been available in the literature. This study presents the very first method to compute all lost states based on invariant without reachability analysis. © 2011 The Institution of Engineering and Technology. Source


Chen C.-M.,National Chengchi University
Expert Systems with Applications | Year: 2011

Many countries have already become aging societies, as evidenced by annually decreasing fertility rates. Elderly individuals often live independently because their families cannot look after them. Therefore, computer-assisted nursing has received increasing attention in modern society, explaining why intelligent systems with physiology signal monitoring for e-health care is an emerging area of development, owing to the urgent needs of homecare for elderly people suffering chronic or sudden diseases at home. Importantly, a physiology signal monitoring system can help medical staff to monitor and analyze physiology signal effectively, such that they can not only monitor the patients' physiology states immediately, but also reduce medical cost and avoid having to visit doctors in hospital. Therefore, this study adopts system on chip (SOC) techniques to develop an embedded human pulse monitoring system with intelligent data analysis mechanism for disease detection and long-term health care. The proposed system can be applied to monitor and analyze pulse signal in daily life. The proposed system also has a friendly web-based interface for medical staff to observe immediate pulse signals for remote treatment. Hence, the proposed system provides aids long-distance medical treatment, exploring trends of potential chronic diseases, and urgent situations informing for sudden diseases. Moreover, this study also presents an intelligent data analysis scheme based on the modified cosine similarity measure to diagnose abnormal pulses for exploring potential chronic diseases. © 2010 Elsevier Ltd. All rights reserved. Source


Yang C.-K.,National Chengchi University
Computer Physics Communications | Year: 2011

We study the interaction between boron nitride nanotubes (BNNTs) and a variety of biological molecules using density functional theory. Some amino acids and nitrogenous bases that are parts of nucleotides are inserted inside the cavity of the BNNT and the overall electronic structure calculated. We conclude that there is no bonding or chemical adsorption between the wide band-gap BNNT and the biological molecules considered. This suggests that BNNTs can be used as a smooth nanoscale channel for transporting biological molecules. © 2010 Elsevier B.V. All rights reserved. Source


Tsai H.-H.,National Chengchi University
Expert Systems with Applications | Year: 2012

Using a bibliometric approach, this paper analyzes research trends and forecasts of data mining from 1989 to 2009 by locating heading "data mining" in topic in the SSCI database. The bibliometric analytical technique was used to examine the topic in SSCI journals from 1989 to 2009, we found 1181 articles with data mining. This paper implemented and classified data mining articles using the following eight categories - publication year, citation, country/territory, document type, institute name, language, source title and subject area - for different distribution status in order to explore the differences and how data mining technologies have developed in this period and to analyze technology tendencies and forecasts of data mining under the above results. Also, the paper performs the K-S test to check whether the analysis follows Lotka's law. Besides, the analysis also reviews the historical literatures to come out technology diffusions of data mining. The paper provides a roadmap for future research, abstracts technology trends and forecasts, and facilitates knowledge accumulation so that data mining researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon "success breeds success" is more common in higher quality publications. © 2012 Elsevier Ltd. All rights reserved. Source


There are few comprehensive studies and categorization schemes to discuss the characteristics for both data mining and customer relationship management (CRM) although they have already become more important recently. Using a bibliometric approach, this paper analyzes data mining and CRM research trends from 1989 to 2009 by locating headings "data mining" and "customer relationship management" or "CRM" in topics in the SSCI database. The bibliometric analytical technique was used to examine these two topics in SSCI journals from 1989 to 2009, we found 1181 articles with data mining and 1145 articles with CRM. This paper implemented and classified data mining and CRM articles using the following eight categories-publication year, citation, country/territory, document type, institute name, language, source title and subject area-for different distribution status in order to explore the differences and how data mining and CRM technologies have developed in this period and to analyze data mining and CRM technology tendencies under the above result. Also, the paper performs the K-S test to check whether the analysis follows Lotka's law. The research findings can be extended to investigate author productivity by analyzing variables such as chronological and academic age, number and frequency of previous publications, access to research grants, job status, etc. In such a way characteristics of high, medium and low publishing activity of authors can be identified. Besides, these findings will also help to judge scientific research trends and understand the scale of development of research in data mining and CRM through comparing the increases of the article author. Based on the above information, governments and enterprises may infer collective tendencies and demands for scientific researcher in data mining and CRM to formulate appropriate training strategies and policies in the future. This analysis provides a roadmap for future research, abstracts technology trends and facilitates knowledge accumulations so that data mining and CRM researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon "success breeds success" is more common in higher quality publications. © 2011 Akadémiai Kiadó, Budapest, Hungary. Source

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