• 한국IT서비스학회지
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• 제10권4호
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• pp.295-307
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• 2011

The purpose of this research is to find a better knowledge service R&D management process. There are four basic characteristics in service : intangibility, inseparability, inconsistency, and no inventory. These intrinsic characteristics require us to change the traditional manufacturing sector based R&D management process. It is necessary to develop an effective knowledge service R&D management model to improve the competitiveness of the service industry and Korean economy. A model case knowledge service R&D has been performed to find a better R&D management model. The whole cycle of R&D process, such as planning, selection, performing, and evaluation has been reviewed by real experience. Several important aspects of R&D process are compared between manufacturing R&D and service R&D. A knowledge service R&D management framework has been suggested. The results of this research can be used for building a better service R&D management process.

• Journal of information and communication convergence engineering
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• 제15권2호
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• pp.85-90
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• 2017

Expert systems for health diagnosis are only for medical experts who have deep knowledge in the field but we need a self-checking pre-diagnosis system for preventive public health monitoring. Korea Traditional Medicine is popular in use among Korean public but there exist few available health information systems on the internet. A computerized self-checking diagnosis system is proposed to reduce the social cost by monitoring health status with simple symptom checking procedures especially for Korea Traditional Medicine users. Based on the national reports for disease/symptoms of Korea Traditional Medicine, we build a reliable database and devise an intelligent inference engine using fuzzy c-means clustering. The implemented system gives five most probable diseases a user might have with respect to symptoms given by the user. Inference results are verified by Korea Traditional Medicine doctors as sufficiently accurate and easy to use.

• 한국실내디자인학회논문집
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• 제23호
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• pp.139-147
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• 2000

The cultural identity of design is very critical in the modern society which is called the society of complex culture and multi-culture. In addition, adopting a traditional lattice-like pattern as a composition element of interior space is an effective way in the context of adding a traditional touch to the modern interior space. Meanwhile, in the process of applying Korean traditional lattices to modern interior space, some problems occurred: it has not been properly embodied; or it has been mistaken for those of China and Japan sharing similar culture with Korea. Thus, this study is designed to have precise knowledge of Korea, Chinese and Japanese traditional lattices. Besides, typical patterns of each nation's lattices are comparatively analyzed from the geometrical viewpoint, in a bid to pave the way for th modernization of traditional lattices. In particular, standards are set and proposed to identify different nations's lattices mainly focusing on grid type lattices which are often used and confusing.

• International Journal of Contents
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• 제5권3호
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• pp.14-18
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• 2009

Traditional methods and materials used for Korean buildings need to be well organized and managed so that they can be utilized in modernization of old buildings. Supporting web-based management of information of Korean traditional building materials helps spread the related knowledge. This paper identifies the characteristics of traditional building materials data, and develops an information structure to represent the related information effectively. It also describes design decisions on web-based user interfaces to support flexible browsing and retrieval of the managed data. As the traditional building data are described by old domain-specific technical terms, utility of the developed service might be limited to those who are familiar with the terms. As an approach to tackle this problem, the proposed system supports user tagging by allowing users to classify the stored information using their own terms, and also to retrieve data using the user-supplied tags.

• 아동학회지
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• 제19권1호
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• pp.141-154
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• 1998

This study investigated how kindergarten teachers apply children's traditional play to educational curriculum and how kindergarten children engaged in traditional play. The subjects of this study were 120 kindergarten teachers and their 2930 5-year-old kindergarten children. Data were gathered through questionnaires. The results showed that most teachers included children's traditional play in educational curriculum as indoor and outdoor play activities, but they had difficulties in this process by lack of play materials and their knowledge of children's traditional play. The results also showed that kindergarten children played "Yut" most frequently and, in most cases, they engaged in traditional play in ways which were adjusted to their developmental level and life style.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1997년도 제12회 동계학술발표회 논문집
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• pp.133-158
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• 1997

This paper analyzes the characteristics of technological knowledge flow-structure of Korean manufacturing in dynamic perspective. In doing that, the concept of the knowledge network is introduced which is defined as a set of industries and their interaction(knowledge flow) or linkage. The analysis of the inter-industrial knowledge flows is based on the technological similarity by using R&D researchers'academic background in the year of 1984, 1987, 1990. The analysis is carried out by such methodology as network analysis, indicator analysis and simple statistical analysis. And the final results are drawn both in absolute terms(dimension effect) and in relative terms (proportion effect) respectively. The main findings are as follow. First, the Korean manufacturing knowledge network appears to strengthen existing inter-industrial knowledge linkages rather than to construct new linkages. Second, the network seems to form a dualistic structure in that some high-technology sectors (knowledge production sectors) emerge along with traditional sectors (knowledge absorbing sectors). Third, since the mid-1980s, an inter-industrial fusion is witnessed among technologically intensive sectors, indicating that some sophisticated innovation modes are emerging in Korean manufacturing system.

• 지능정보연구
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• 제9권2호
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• pp.19-38
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• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.99-104
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• 2003

In this research, we proposed the mechanism to develop self evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most former researchers tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, thy have some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, many of researchers had tried to develop an automatic knowledge extraction and refining mechanisms. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, in this study, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference. Our proposed mechanism has five advantages empirically. First, it could extract and reduce the specific domain knowledge from incomplete database by using data mining algorithm. Second, our proposed mechanism could manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it could construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems). Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic. Fifth, RDB-driven forward and backward inference is faster than the traditional text-oriented inference.

• 정보관리연구
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• 제37권4호
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• pp.105-124
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• 2006

원자력지식경영은 한국원자력연구소에서 실제로 운영되고 있으며, IAEA에서도 INIS사무국의 적극적인 주도하에 회원국을 중심으로 활발하게 수행되고 있다. 지식경영은 사서의 업무영역으로, 전통적인 도서관 업무영역의 축소에 따른 블루오션 성격의 유망 대체업무라 볼 수 있다. 따라서 이에 대한 이해와 관심이 절실히 필요하다. INIS는 원자력을 평화적으로 사용하기 위한 국가 간의 협력에 의해 IAEA가 중심이 되어 설립된 국제적인 정보유통시스템이다. INIS는 270만 건이 넘는 원자력 관련 분야의 DB를 구축하여 이용자에게 제공한다. 국내의 INIS 활동은 INIS 입력량(세계 5위) 및 INIS2 호스트사이트 운영 등으로 IAEA에서 선도적인 역할을 담당하고 있다.

• 대한본초학회지
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• 제27권5호
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• pp.45-53
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• 2012

Objectives : In recent years, the Chinese Government has been providing full support aimed at promoting the excellence of Chinese culture, including Traditional Chinese Medicine (TCM), to the world after recognizing Chinese culture and medicine as elements that can generate national wealth. Methods : In investigating China's awareness of the issues surrounding the intellectual property rights of TCM, as well as its implementation of protective measures, this study analyzed the law and platform policies of the Chinese Government, as well as the designation status of China's intangible cultural heritages and the recent research trend in the TCM field. Results : First, China is taking various protective measures based on laws and institutional devices, including the Patent Act. Second, China is protecting the intellectual property rights of traditional Chinese medicines by registering them as Chinese intangible cultural heritages or UNESCO world heritages. Third, China is seeking to promote TCM throughout the wider world through various research and academic conferences, and by strengthening ties between nations. Conclusions : With the adoption of the international regimes of the WIPO and CBD, and particularly the Nagoya Protocol in 2010, China is seeking to implement measures aimed at maximizing the national interest based on the intellectual property rights of TCM. China began to implement a system of protection of medicinal resources and the related traditional knowledge after recognizing the potential crisis that could occur if Chinese medicine-related patents were taken over by foreign countries. As such, the system now takes various forms.