• 한국식품영양학회지
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• 제23권2호
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• pp.269-275
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• 2010

The current exploratory study attempted to investigate the influence of environment-friendly agricultural products(EAPs) perception on EAPs consumption behavior. The survey was conducted to parents of elementary school in Chung-buk area by the help of homeroom teachers of each school. Out of 500 questionnaires administered, a total of 305 completed questionnaires were returned, yielding a response rate of 61%. Regarding buying behavior, 89.6% of respondents have ever bought EAPs, among them, 52.9% usually bought in a mart. The reason to buy EAPs was mostly safety(57.6%), nutrition & health(30.4%), and quality(7.0%). The 11 items representing the attitude and knowledge were analyzed, resulting in three distinct dimensions-'attitude', 'knowledge', and 'concern'. The knowledge level of EAPs was slightly higher than medium. Concerning the influence of EAPs perception on EAPs consumption behavior, the more having high knowledge and attitude level on EAPs, the more lead to the EAPs consumption behavior. This implicit the importance of education to enhance the knowledge level and positive attitude towards EAPs.

• 한국지능시스템학회논문지
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• 제13권3호
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• pp.366-370
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• 2003

In this research, we suggest a hybrid intelligent Web recommendation systems based on Web data mining and case-based reasoning (CBR). One of the important research topics in the field of Internet business is blending artificial intelligence (AI) techniques with knowledge discovering in database (KDD) or data mining (DM). Data mining is used as an efficient mechanism in reasoning for association knowledge between goods and customers＇ preference. In the field of data mining, the features, called attributes, are often selected primary for mining the association knowledge between related products. Therefore, most of researches, in the arena of Web data mining, used association rules extraction mechanism. However, association rules extraction mechanism has a potential limitation in flexibility of reasoning. If there are some goods, which were not retrieved by association rules-based reasoning, we can＇t present more information to customer. To overcome this limitation case, we combined CBR with Web data mining. CBR is one of the AI techniques and used in problems for which it is difficult to solve with logical (association) rules. A Web-log data gathered in real-world Web shopping mall was given to illustrate the quality of the proposed hybrid recommendation mechanism. This Web shopping mall deals with remote-controlled plastic models such as remote-controlled car, yacht, airplane, and helicopter. The experimental results showed that our hybrid recommendation mechanism could reflect both association knowledge and implicit human knowledge extracted from cases in Web databases.

• 산업경영시스템학회지
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• 제21권45호
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• pp.101-112
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• 1998

Data mining, which is also referred to as knowledge discovery in database, means a process of nontrivial extraction of implicit, previously unknown and potentially useful information (such as knowledge rules, constraints, regularities) from data in databases. The discovered knowledge can be applied to information management, decision making, and many other applications. In this paper, a new data mining problem, discovering sequential patterns, is proposed which is to find all sequential patterns using sampling method. Recognizing that the quantity of database is growing exponentially and transaction database is frequently updated, sampling method is a fast algorithm reducing time and cost while extracting the trend of customer behavior. This method analyzes the fraction of database but can in general lead to results of a very high degree of accuracy. The relaxation factor, as well as the sample size, can be properly adjusted so as to improve the result accuracy while minimizing the corresponding execution time. The superiority of the proposed algorithm will be shown through analyzing accuracy and efficiency by comparing with Apriori All algorithm.

• Educational Technology International
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• 제9권2호
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• pp.79-95
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• 2008

This paper aims to investigate modeling scripts based on the mode of group interaction in a computer-supported collaborative learning environment. Based on a literature review, this paper assumes that group interaction and its mode would have strong influence on the online collaborative learning process, and furthermore lead learners to create and share significant knowledge within a group. This paper deals with two different modes of group interaction- distributed and shared interaction. Distributed interaction depends on the external representation of individual knowledge, while shared interaction is concerned with sharing knowledge in group action. In order to facilitate these group interactions, this paper emphasizes the utilization of appropriate CSCL scripts, and then proposes the conceptual framework of CSCL scripts which integrate the existing scripts such as implicit, explicit, internal and external scripts. By means of the model regarding CSCL scripts based on the mode of group interaction, the implications for research on the design of CSCL scripts are explored.

• 정보교육학회논문지
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• 제10권1호
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• pp.13-22
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• 2006

학생들은 인터넷을 이용하여 정보와 자원을 찾을 수 있어야 한다. 또한 정보를 선별하고, 지식으로 변환하고, 이를 다시 남에게 전달하는 등 복합적인 지적능력이 필요하다. 그러나 학생들이 접하는 대부분의 학교, 학급 홈페이지는 정보만을 제공할 뿐, 학생들이 정보를 지식으로 만들 수 있도록 도와주는 기능이 미흡하다. 이는 학습자들이 홈페이지에 접속하는 비율을 낮추는 원인이 되기도 한다. 이에 본 연구에서는 학생들이 정보를 이해하고 해석하여 지식으로 변환할 수 있는 능력을 키울 수 있도록 지식공유기법을 활용한 학급 홈페이지를 개발하였다. 이 홈페이지는 학생들이 지식공유를 할 수 있도록 위키식 지식공유기법과 질문답변식 지식공유기법을 사용하였다. 실험 적용 결과, 학생들이 습득한 정보를 이해하고 해석하는 능력이 높아졌으며, 암묵지를 형식지로 바꾸는 능력도 향상된 것으로 나타났다. 또한 지식을 공유 하면서 새로운 지식을 창조하였으며, 자연스럽게 홈페이지 접속율도 높아졌다.

• 한국컴퓨터산업학회논문지
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• 제2권8호
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• pp.1025-1034
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• 2001

지식집약조직의 달성과 유지를 위한 정보기술의 활용에 대한 대안으로, 의사결정지원시스템(DSS： Decision Support System)의 활용 방안을 제시하였다. 의사결정과정의 구조화를 통해 집단의사결정을 지원하는 것이므로 집단 구성원들의 의사결정 과정에 대한 암묵적인 지식을 공유하고 이를 구조화, 종합화하여 명시적인 지식으로 변환할 수 있어야만 한다. 현재까지 조직에 구축된 KMS에 적용되지 못하고 있는 지식관리 기반기술을 DSS를 통해 활용할 수 있음도 파악할 수 있다. 즉, Share, Synthesize, Solve의 기능을 제공하는 정보기술을 활용한 KMS의 활용 사례를 찾기 어려우나, 이와 같은 기술들을 DSS에 적용함으로써 지식 집약적인 조직의 달성과 유지를 위해 DSS를 활용할 수 있을 것이다.

• 한국주거학회논문집
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• 제18권1호
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• pp.53-60
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• 2007

Storytelling approach is the way to formulate and solve problems using stories. Story is a means to understand and react everyday life that can be regarded as multi-dimensional problems. The approach becomes popular in various fields in conjunction with digital technology. In particular, it is used to solve problems in relation to whole context. In design, storytelling approach is used to clarify design constraints. It can be used to clarify and communicate thoughts for design artifacts, and to understand how the artifacts might be used in particular circumstances. In particular, the approach is useful to use under uncertain circumstances. In architecture, storytelling approach can be used in the area of design generation, design critique and capturing design knowledge. In design generation, it can be used to describe and formulate design experiences rather than simple designing artifacts. The approach formalizes design based on stories of user experiences. Digital technology such as virtual reality can be used to experience designed spaces for design modifications. In design critique area, it can be used to fill uncertain facts for historical buildings as welt as different from present status. Such stories can be used to build digital modeling and used to open criticism. Stories can be used to formalize knowledge in architectural domain as a form of implicit knowledge for certain projects. In architecture, it often is required to design types of environment never experienced before as well as to accomodate fast changing technologies. Storytelling methodology can be used as a method to cope with uncertainty and complexity in design requirements along with accumulating design knowledge.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1998년도 제13회 하계학술발표회 논문집
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• pp.226-249
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• 1998

Technology diffusion policy can be defined as the role of government in linking knowledge production with usage. It has an importance due to the fact that linking knowledge between the producing agent and using agent does not automatically occur. If knowledge produced by an R&D agent is not used by somebody else, the knowledge may deteriorate to a social loss since knowledge production consumes a considerable degree of social resources. Explicit technology diffusion policies are not found in Korea. There we, however, a number of implicit policies to promote technology diffusion, mainly by promoting cooperation among universities, industries and research institutes. Government R&D programs have provided incentives for cooperative research projects, and many government sponsored institutes have been assigned the role of technology assistance for small and medium sized firms. Nevertheless, diffusion policies remain weak in comparison to other innovation and technology policies. This is reflected in the relatively small scale of government support for technology diffusion programs. In addition, there is no systematic approach between the different ministries for enhancing diffusion across technologies, institutions, sectors and regions. A comprehensive evaluation of government diffusion programs, which is necessary for improving policy and program design, is lacking. Enhancing the diffusion of technology in Korea will require the strengthening of policies at different levels, including; 1) increasing the orientation of science and technology policies towards diffusion; 2) increasing the scale of existing diffusion programs; 3) developing new diffusion programs, in particular sector-specific or manpower training programs; 4) developing policies to encourage a culture of cooperation that can facilitate technology diffusion; and 5) carrying out substantial policy research to develop diffusion policies.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2011년도 추계학술대회
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• pp.205-211
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• 2011

The papaer reviews four theoretical acceptance sampling plans as OC(Operating Characteristics) curve based inspection, rectifying inspection, switching inspection, and continuous inspection. In addition, the study presents practical limitations of theoretical acceptance sampling by attribute and by variable. Finally, following research also recommends the sampling inspection based on production technology. However, the inspection method requires quality expertise with various experience and implicit knowledge of the field.

• 한국비블리아학회지
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• 제9권1호
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• pp.207-220
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• 1998

세계는 지식과 지식경영을 21세기 글로벌 문명의 키워드로서 자리매김 하는데에 동의하고 있다. 이 글은 현재까지 주로 경영학적 측면으로 다뤄지고 있는 지식경영의 문제를 $\ulcorner$지식$\lrcorner$을 객체로 하는 정보학적 시각으로 접근하여 지식의 구조에 터잡은 효율적 관리방법으로 해결하려는 것이다. 왜냐하면 지식경영의 본질은 지식이며, 나머지 영역은 지식을 효율적으로 운용하기 위한 여러가지 환경적 요소들-사람, 조직. 문화등 이기 때문이다. 이 글에서는 지식경영의 핵심요소를 지식 공유 시스템의 구축이라고 보고. 지식 공유 작업이 지식을 자원으로서 인식하는 수준이 아닌 그 진위여부와 가치의 평가, 신선한 지식창고로 유지 관리하는 과정으로 보다 신중하고 비중있게 검토되어야 한다는 사실을 지적한다. 아울러 지식의 관리에서 우선적인 것은 정보기술이 아닌 지식의 내용과 표현이므로 지식경영의 일반적 프로세스 중 '정보기술인프라' 는 '정보인프라' 로 수정되어 연구될 것을 제기한다.