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The design and implementation of information system for the MBO of national R&D projects cooperated by industries, universities and government-supported research institutes

The design and implementation of information system for the ...

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Conference of the Portland-International-Center-for-management-of-Engineering-and-technology (PICMET 2007)

作者： Sohn, Kwon-Joong Yoo, Wang-jin Lee, Cheol-gyu National Program for Tera-level Nanodevices South Korea Graduate School Konkuk University Department of Venture Technology and Management South Korea National Program for Tera-level Nanodevices Graduate School Konkuk University Department of Venture Technology and Management

ISBN: (纸本)9781890843168

After finding the significance of effective objective management and communication by reviewing previous studies on the insufficient cooperation in projects undertaken by industries, universities and government-supported research institute collaborative system, We studied how to achieve successful implementation of massive research and development projects requiring collaboration among industries, universities and government-supported research institute. We have set up an engineering process innovation model to be deemed most adequately for all practical purposes, relying on the theoretical studies on the merits and analysis of the effect of the information system based on Milestone management, Work Breakdown Structures and Web, which is known to be effective for research project (schedule) management and the objective management, and implemented a real-world web-based project (objective) management system. After a review of various R&D Project Schedule management mothods, we found that this information system was very compatible with project objective management. This project (objective) management information system has adopted a web-based approach so that geographically distant organizations having different cultures may effectively and efficiently carry out research and development projects, getting together in cyber-space and sharing information, and been equipped with an Early Warning Subsystem to allow for pre-analysis and timely response to potential problems arising over the course of the project. The system also contains an Executive Information System that in real time, automatically provides the management information required by managers with the rate of project progress (achievement, fulfillment and delay). Generated documents are also registered as reports, which are compatible with HWP documents and Microsoft Word documents through XML conversion. Lastly, actual progress may be cross-checked through both on-line objective management on the web-based

关键词： Surveys

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A graduate course in faculty development

A graduate course in faculty development

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37th Annual Frontiers in EducationConference

作者： Dziedzic, Mauricio Janissek, Paulo Roberto Tozzi, Marcos Jose Graduate Program in Environmental Management Centro Universitário Positivo Faculty of Science and Technology Centro Universitário Positivo

ISBN: (纸本)9781424410835

Engineering undergraduate and graduate programs in science and technology usually do not include teaching courses. Thus, most professors are forced to rely on their experience as students, and mimic good teaching practices of their model teachers. The work reported herein is an attempt to correct this by giving future professors an opportunity to develop good teaching practices while in graduate school, through a course in "Faculty Development". The course syllabus includes: student attraction and retention, assessment, course content, faculty development, teaching methods, program organization, relationship with students, lecture preparation, teaching techniques, ethics, and learning theory. The class is split into groups of four or less students, which must read the references and prepare short presentations for the topics planned for each meeting. Some of the students which take the course are already teaching at the time and are able to apply what they learn even as the course progresses, reporting positive reactions from their students, as well as improved learning and student attitude.

关键词： faculty development graduate course

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Testing impact of knowledge characteristics and relationship ties on project performance

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Journal of Knowledge management 2007年第3期11卷 126-144页

作者： Kang, Jina Graduate Program of Technology and Management Department of Industrial Engineering Seoul National University Seoul South Korea

Purpose - The aim of this paper is to empirically test and find the correlation between knowledge characteristics and relationship ties on project performance. Design/methodology/approach - Data were collected via personal interviews based on a structured survey of project managers in a knowledge-intensive firm. The data were analyzed using a multiple regression model. Findings - The results show that project performance was positively related to the frequency and closeness of source, and difficulty of the "knowledge element" described in the survey. Interestingly, against the prevalent view, the source and the level of tacitness of the knowledge element were not found to be significant. Research limitations/implications - Data are limited to specific corporate setting and variables are not exhaustive, despite the fact that this study includes the most theoretically interesting variables. One implication is that strong ties to a knowledge element source are important for project success, but distinctions between internal and external sources, and degree of codification, are not. Practical implications - This study also implies that, in this day and age of knowledge management and chief knowledge officers, most of the important knowledge may already have been codified inside the firm, thus alleviating the past focus on transfer of tacit knowledge. This fact also implies that firms that are left behind in terms of managing their knowledge inside the firm stand to lose a lot more since the other firms are managing their own knowledge base better. Originality/value - This paper incorporates and empirically tests most of the variables considered important to theoreticians and practitioners in the realm of knowledge management and network theory. The latter theory is important in the field of knowledge management because it offers the link and medium in which knowledge travels and transfers.

关键词： Knowledge management Knowledge sharing Networking Tacit knowledge

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Cascade of genetic algorithm and decision tree for cancer classification on gene expression data

Cascade of genetic algorithm and decision tree for cancer cl...

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37th International Conference on Computers and Industrial Engineering 2007

作者： Yeh, Jinn-Yi Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department and Graduate Program of BioIndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)9781627486811

Cancer classification through gene expression data analysis has emerged as an active area of research recently. Gene expression is the process of transcribing a gene's DNA sequence into RNA. A gene's expression level indicates the approximate number of copies of that gene's RNA produced in a cell. This is thought to correlate with the amount of the corresponding protein made. The expression of a gene provides a measure of activity of a gene under certain biochemical conditions. For example, cancers are usually reflected in the change of the expression values of certain genes. Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. This implies that we must deal with a huge number of irrelevant genes. An efficient algorithm is required to reduce the computational overhead. The other challenge is from the presence of noise inherent in the data set. It makes accurate classification of data more difficult when the sample size is small. This paper applies genetic algorithms (GA) for selecting a group of relevant genes from cancer microarray data. Then the decision tree based cancer classifier is built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods (e.g., t-statistics, GS method, and information gain) using the publicly available gene expression data set such as Colon, Leukemia, Lymphoma, Lung and central nervous system (CNS). Experimental results indicate that the cascade of GA and decision tree has the highest accuracy rate among different methods.

关键词： Genetic algorithms

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Primates in Peril: The World's 25 most endangered primates 20082010

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Primate Conservation 2009年第1期24卷 1-57页

作者： Mittermeier, Russell A. Wallis, Janette Rylands, Anthony B. Ganzhorn, Jörg U. Oates, John F. Williamson, Elizabeth A. Palacios, Erwin Heymann, Eckhard W. Kierulff, M. Cecília M. Yongcheng, Long Supriatna, Jatna Roos, Christian Walker, Sally Cortés-Ortiz, Liliana Schwitzer, Christoph Bearder, Simon K. Bergl, Richard Bracebridge, Claire E. Brockelman, Warren Y. Butynski, Thomas M. Cornejo, Fanny M. Das, Jayantha Davenport, Tim R. B. De Luca, Daniela W. DeLuycker, Anneke M. Dolch, Rainer Hai, Dong Thanh Dunn, Andrew Peng-Fei, Fan Geissman, Thomas Guillen, Rosamira Long, Ha Thang Honess, Paul E. Islam, Awar Johnson, Steig Jones, Trevor Lamilla, Iader Larney, Eileen Quyet, Le Khac Sanchez, Karmele Llano Yoncheng, Long Louis Jr., Edward E. MacHaga, Sophy J. Martin, Sara K. Mbora, David McGraw, W. Scott Moisson, Pierre Molur, Sanjay Morales-Jiménez, Alba Lucia Morgan, Bethan Mpunga, Noah E. Nadler, Tilo Nekaris, K. Anna I. Nicholas, Aaron Nijman, Vincent Nkembi, Louis Pacheco, Victor Paciulli, Lisa M. Patel, Erik R. Perkin, Andrew Thuc, Phan Duy Quintana, Heidi Rabarivola, Clment J. Rafaliarison, Radoniana R. Raffel, Martina Ralainasolo, Fidimalala Randriatahina, Guy H. Ratsimbazafy, Jonah Ravoarimanana, Iary B. Rudran, Rasanayagam Rumpler, Yves Salim, Agus Savage, Anne Schrudde, Daniela Schwitzer, Nora Shekelle, Myron Singleton, Ian Soto, Luis Stevens, Nancy Sunderland-Groves, Jacqueline Thorn, James S. Urbani, Bernardo Volampeno, Sylviane N. M. Wanasinghe, Ananda Warren, Ymke Weerakoon, Kanchana Werre, J. Lodewijk Wich, Serge A. Winarti, Indah Wright, Patricia C. Andriamaharoa, Hubert Zaramody, Alphonse Carretero-Pinzon, Xyomara Ruiz-Garcia, Manuel Defler, Thomas R. Missouri Botanical Garden Research and Conservation Madagascar Program Antananarivo 101 B.P. 3391 Madagascar Department of Anthropology School of Social Science and Law Oxford Brookes University Oxford 0X3 OBP United Kingdom North Carolina Zoological Park Asheboro NC 27205 4401 Zoo Parkway United States Wildlife Conservation Society Mbeya PO Box 1475 Tanzania Applied Ecology Group Department of Environmental and Geographical Sciences Manchester Metropolitan University Manchester Ml 5GD Chester Street United Kingdom Center for Conservation Biology Institute of Science and Technology for Research and Development Mahidol University Salaya Nakhon Pathom 73170 Phuttthamon-thon 4 Road Thailand Bioko Biodiversity Protection Program Drexel University 10400 Nanyuki PO Box 149 Kenya Museo de Historia Natural Universidad Nacional Mayor de San Marcos Lima 11 Av. Arenales 1256 Peru Museum of Zoology Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor MI 48109-1079 138 Museums Annex 1109 Geddes Avenue United States Wildlife Areas Development and Welfare Trust Guwahati Assam 781 001 M.G. Road India Department of Anthropology Washington University St. Louis MO 63130 United States Prolemur Research Project Association Mitsinjo Andasibe Madagascar Department of Wildlife Management Faculty of Forest Resources and Environmental Management Vietnam Forestry Uiversity Xuan Mai Chuong My Hanoi Viet Nam Wildlife Conservation Society Calabar Cross River State GPO Box 796 Nigeria Kunming Institute of Zoology Chinese Academy of Sciences Kunming Graduate School of the Chinese Academy of Sciences Beijing China Jingdong Nature Reserve Management Bureau Jingdong China Institute of Zoology Ecology and Conservation 20146 Hamburg Martin Luther King Platz 3 Germany Anthropological Institute University Zurich-Irchel CH-8057 Zurich Winterthurerstr. 190 Switzerland Fundacion Proyecto Titi Barranquilla Carrera 56 # 68-85 Colombia Wildlife Research

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Applying data mining techniques for cancer classification from gene expression data

Applying data mining techniques for cancer classification fr...

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2nd International Conference on Convergent Information technology, ICCIT 07

作者： Yeh, Jinn-Yi Wu, Tai-Shi Wu, Min-Che Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department of Business Administration National Taipei University Taiwan Department and Graduate Program of Biolndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)0769530389

Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. It makes accurate classification of data more difficult. This paper applies genetic algorithms (GA) with an initial solution provided by t-statistics (t-GA) for selecting a group of relevant genes from cancer microarray data. The decision tree based cancer classifier is then built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods using the publicly available gene expression datasets. Experimental results indicate that t-GA has the highest accurate rate among different methods. The Z-score figure also shows that the gene selection operation provided by t-GA is reproducible. © 2007 IEEE.

关键词： Genetic algorithms

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A graduate course in faculty development

A graduate course in faculty development

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Frontiers in Education (FIE) Conference

作者： Mauricio Dziedzic Paulo Roberto Janissek Marcos Jose Tozzi Graduate Program in Environmental Management Centro Universitário Positivo Brazil Faculty of Science and Technology Centro Universitário Positivo Brazil

Engineering undergraduate and graduate programs in science and technology usually do not include teaching courses. Thus, most professors are forced to rely on their experience as students, and mimic good teaching practices of their model teachers. The work reported herein is an attempt to correct this by giving future professors an opportunity to develop good teaching practices while in graduate school, through a course in "faculty development". The course syllabus includes: student attraction and retention, assessment, course content, faculty development, teaching methods, program organization, relationship with students, lecture preparation, teaching techniques, ethics, and learning theory. The class is split into groups of four or less students, which must read the references and prepare short presentations for the topics planned for each meeting. Some of the students which take the course are already teaching at the time and are able to apply what they learn even as the course progresses, reporting positive reactions from their students, as well as improved learning and student attitude.

关键词： Education Ethics Environmental management Educational technology Employee welfare Educational institutions Meeting planning Writing Civil engineering Color

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Innovative revenue-sharing scheme for public-private partnerships in infrastructure projects

Innovative revenue-sharing scheme for public-private partner...

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25th Inaugural Construction management and Economics: 'Past, Present and Future' Conference, CME 2007

作者： Charoenpornpattana, Santi Minato, Takayuki Construction Engineering and Management Program Department of Civil Engineering King Mongkut's University of Technology Thonburi 126 Pracha-uthit Road Bangmod Thung Kharu Bangkok 10140 Thailand Department of International Studies Graduate School of Frontier Sciences University of Tokyo 5-1-5 Kashiwanoha Kashiwa Chiba 277-8563 Japan

ISBN: (纸本)9780415460590

One of the most important issues in developing a balanced relationship between the government and private concessionaire is establishment of a fair revenue-sharing scheme. In practice, there are several conventional types of revenue-sharing schemes and each type has its advantages and disadvantages. Appling a suitable revenue-sharing scheme for the multiple-operator system (where there are a number of private concessionaires) will enhance system fairness and management efficiency. Using the scheme for every private operator in the system, however, may not be appropriate, as each operator may have different financial configurations such as investment cost, operation & maintenance cost (OMC) and expected revenue. The objective of this paper is to discuss the conventional approaches of the revenue-sharing scheme and to recommend an innovative and appropriate one to reduce risk burden and maintain the incentive of the private concessionaires to improve efficiency and service quality of project.

关键词： Efficiency

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Applying Data Mining Techniques for Cancer Classification from Gene Expression Data

Applying Data Mining Techniques for Cancer Classification fr...

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International Conference on Convergence Information technology

作者： Jinn-Yi Yeh Tai-Shi Wu Min-Che Wu Der-Ming Chang Department of Management Information Systems National Chiayi University Taiwan Department of Business Administration National Taipei University Taiwan Department and Graduate Program of BioIndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)9780769530383

Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. It makes accurate classification of data more difficult. This paper applies genetic algorithms (GA) with an initial solution provided by t- statistics (t-GA) for selecting a group of relevant genes from cancer microarray data. The decision tree based cancer classifier is then built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods using the publicly available gene expression datasets. Experimental results indicate that t-GA has the highest accurate rate among different methods. The Z-score figure also shows that the gene selection operation provided by t-GA is reproducible.

关键词： Data mining Cancer Gene expression RNA DNA Sequences Genetic algorithms Decision trees Classification tree analysis Fluorescence

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A statistical analysis of engineering project risks in the Korean shipbuilding industry

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Journal of Ship Production 2007年第4期23卷 223-230页

作者： Lee, Eunchang Shin, Jong Gye Park, Yongtae Graduate Program in Technology and Management Seoul National University Seoul Korea Republic of Department of Naval Architecture and Ocean Engineering Seoul National University Seoul Korea Republic of Department of Industrial Engineering Seoul National University Seoul Korea Republic of

Risk management in shipbuilding projects is important in practice, but there have been few studies about risk assessment in the shipbuilding industry. The purpose of this study is to identify critical risks in shipbuilding projects and to examine the relationships among them, according to the ship production phases. A survey analysis was conducted with 248 experts from 10 major Korean shipbuilders in April 2007, and association rule mining was used as the research methodology. Twenty-six different risks are deduced. At the beginning stage of shipbuilding, it was discovered that design and financial risks were related, and human resource risks in ship design had relatively more influence but financial risks did not. At the block manufacturing stage, important risk factors were management of production equipment, supply of raw materials and labor, and quality management. Financial, technical, and managerial risks all had an important influence at this phase. At the erection stage, technical risks such as changes in design and managerial risks such as exceeding time and budget limits proved to be important. At the project finalization, phase risks were exchange rates, interest rates, timeline, fulfilling specifications, and natural disasters. The research results could be valuable for industrial participants to understand the shipbuilding risks in each construction stage.

关键词： Shipbuilding

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