• 대한가정학회지
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• 제49권1호
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• pp.1-16
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• 2011

This study analyzed the items for the Home Economics teacher selection test, which were carried out through the school year 2002 to 2010, based on Pedagogical Content Knowledge in Home Economics Education (H-PCK). Two frameworks were used: (1) H-PCK matrix transformed from the Content Knowledge in Home Economics Education (H-CK) and the Pedagogical Knowledge; (2) Five components of H-PCK. The results of this study were as follows: (1) The test items were classified into H-CK items and H-PCK items from the H-PCK matrix analysis. (2) While the number of items on knowledge of teaching strategies was the highest, no item on knowledge of understanding students was identified. Since the test can be considered as Measurement-Driven Instruction, it will have backward influences on the teacher education program in universities. Thus, if promising and capable new Home Economics teachers are to be recruited, the test items should include all the components of H-PCK.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권2호
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• pp.194-199
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• 2003

Data are an expression of the language or numerical values that show some features. And the information is extracted from data for the specific purposes. The knowledge is utilized as information to construct rules that recognize patterns or make a decision. Today, knowledge extraction and application of that are broadly accomplished for the easy comprehension and the performance improvement of systems in the several industrial fields. The knowledge extraction can be achieved by some steps that include the knowledge acquisition, expression, and implementation. Such extracted knowledge is drawn by rules with data mining techniques. Clustering (CL), input space partition (ISP), neuro-fuzzy (NF), neural network (NN), extension matrix (EM), etc. are employed for the knowledge expression based upon rules. In this paper, the various approaches of the knowledge extraction are surveyed and categorized by methodologies and applied industrial fields. Also, the trend and examples of each approaches are shown in the tables and graphes using the categories such as CL, ISP, NF, NN, EM, and so on.

• International Journal of Contents
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• 제12권4호
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• pp.31-44
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• 2016

Knowledge creation and management are regarded as critical success factors for an organization's survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization's system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.

• 한국건설관리학회논문집
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• 제11권5호
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• pp.65-74
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• 2010

시공단계의 경험 및 지식을 반영한 설계 결과물은 시공 효율성을 향상시키고 설계변경을 최소화하여 프로젝트의 낭비요인 제거와 전체적인 생산성 향상을 가능하게 해준다. 설계자가 설계단계에서 시공단계의 경험 및 지식을 효과적으로 활용하기 위해서는, 설계과정에서 필요한 시공성 지식을 필요한 시점에 활용할 수 있어야 한다. 설계단계에서 시공성 지식의 효과적인 활용을 위한 기존의 접근방법은 체크리스트와 같이 설계단계 별로 활용되는 시공성 지식의 구조화에 초점을 맞추고, 설계의 사결정과정의 기본단위가 되는 액티비티 수준에서 시공성 지식의 활용시점에 대한 고려가 부족하다. 하지만 적절하지 않은 시점에서 고려된 시공성 지식은 설계자에게 불필요한 재작업을 야기해 설계생산성을 저하시키는 문제를 발생시킬 수 있다. 이러한 비효율적인 정보교환을 최소화하기 위해서는, 설계 프로세스 상에서 정보흐름에 중점을 둔 설계관리를 통해 각 시공성 지식들을 요구하는 설계 액티비티가 무엇인지를 파악해야 한다. 이에 본 연구는 Dependency Structure Matrix(DSM)를 이용하여 설계의사결정과정의 기본단위가 되는 설계 익티비티와 설계과정에서 고려해야 하는 시공성 지식간의 상호관계를 고려한 정보흐름기반의 설계프로세스관리를 제안한다. 이는 설계프로세스관리를 설계단계에서의 단순한 설계검토보다 한 단계 높은, 건설프로젝트 전 과정과 연계된 포괄적인 관리활동으로 발전시켜 건설생산합리화에 크게 기여할 수 있으리라 예상된다.

• 정보관리학회지
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• 제19권4호
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• pp.349-381
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• 2002

21세기 무한경쟁의 시대에 지식을 창조, 획득하고 관리하는 자만이 살아남을 수 있다. 즉 모든 지식정보자원을 디지털화한 디지털지식콘텐츠를 누가 많이 확보하느냐에 달려있다고 할 것이다. 여기에서 핵심적인 미래산업이 될 디지털콘텐츠 산업발전 조성과 그 경쟁력을 강화시킬 수 있는 기반을 제공하기 위해서는 디지털콘텐츠관리와 유통 프레임워크가 필요하다. 따라서 본 연구는 학문적 연구와 현장조사를 토대로 디지털콘텐츠 프레임워크와 혁신확산을 기반으로한 지식콘텐츠 의사결정과 단계적 모델, 지식관리매트릭스와 지식관리지수를 제시하는데 그 목적이 있다.

• 대한전자공학회논문지
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• 제25권12호
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• pp.1639-1648
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• 1988

This paper deals with an analyzing method of the Korean syntax to implement a natural language understanding system. A matrix of the syntactic structure is derived by the structural features of the Korean language. The modificatoty and conceptual structures are extracted from the matrix and the predicate logic form is expressed by extracting the phrase, clause and conceptual structure in the analyzing process. This logic form constructs an knowledge base of the sentence and proposes the possibility of the inference.

• 지식경영연구
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• 제4권1호
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• pp.81-94
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• 2003

The Russian theory of inventive problem solving method in Engineering, TRIZ is introduced to the non Engineering field these days. In this paper, the applications of TRIZ to creative knowledge management for knowledge creation are reviewed. This paper shows some examples on the systematic win-win problem solving in business environments using TRIZ methodology and comments the possibility of TRIZ in conceptual creative business innovation in future.

• 대한가정학회지
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• 제47권8호
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• pp.13-24
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• 2009

This study investigated college students' time management behavior and time satisfaction according to the use of the time-matrix. Data were collected from 400 college students in Seoul by a self-administered questionnaire. Collected data were subjected to descriptive and comparative statistical analyses using the software SPSS(version 12.0). The conclusions of this study were as follows; 1. The use of time-matrix was categorized into 4 task groups: (1) not urgent but important, (2) urgent but notimportant, (3) neither urgent nor important, (4) urgent and important. 2. Time-management-behavior of planning was categorized into 3 components: standard setting, reality overlapping and implementing into 3 components(i.e., checking, adjusting, facilitating condition). 3. In all domains except overlapping, 'not urgent but importance' was the most popular managerial behavior. 4. However, 'neither urgent nor important' was voted the most popular in terms of managerial satisfaction. This study provides useful knowledge on managerial time-use categorization. Furthermore also contributes towards the knowledge base of time-managerial behaviors and dispels stereotypical-thinking that only bing busy all the time using is an indication of good time management behavior. Finally, this study advocates use of the time-matrix to achieve efficient time management.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1999년도 춘계학술대회 논문집
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• pp.242-250
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• 1999

The objective of this paper is to propose an Extended AND-OR Graph (EAOG)-driven inferential simulation mechanism with which decision makers engaged in electronic commerce (EC) can effectively deal with complicated decision making problem. In the field of traditional expect systems research, AND-OR Graph approach cannot be effectively used in the EC problems in which real-time problem-solving property should be highly required. In this sense, we propose the EAOG inference mechanism for EC problem-solving in which heurisric knowledge necessary for intelligent EC problem-solving can be represented in a form of matrix. The EAOG method possesses the following three characteristics. 1. Realtime inference: The EAOG inference mechanism is suitable for the real-time inference because its computational mechanism is based on matrix computation.2. Matrix operation: All the subjective knowledge is delineated in a matrix form, so that inference process can proceed based on the matrix operation which is computationally efficient.3. Bi-directional inference: Traditional inference method of expert systems is based on either forward chaining or based on either and computational efficiency. However, the proposed EAOG inference mechanism is generically bi-directional without loss of both speed and efficiency.We have proved the validity of our approach with several propositions and an illustrative EC example.

• 한국문헌정보학회지
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• 제41권2호
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• pp.335-357
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• 2007

다차원척도법(MDS)은 지적 구조의 시각화를 위해서 오랫동안 사용되어 왔다. 그러나 MDS는 지적 구조를 시각적으로 표현하는데 있어서 세부 구조의 표현력이 취약하다는 약점을 가지고 있다. 이 연구에서는 상관계수 행렬의 가공 방식과 MDS 알고리즘을 조합한 여섯 가지 MDS 지도 작성 방식을 파악한 다음, 실제 지적 구조 데이터에 적용하여 비교해보았다. 실험 결과에서 가장 나쁜 방식으로 파악된 것은 가장 널리 사용되고 있는 방식으로서, 상관계수행렬로부터 유클리드 거리를 산출한 후 ALSCAL 알고리즘으로 MDS 지도를 작성하는 방식인 것으로 나타났다. 반면에 가장 좋은 방식은 상관계수를 z점수로 표준화하여 유클리드 거리를 산출한 후 PROXSCAL 알고리즘를 사용하는 방식이었다. 결론적으로 MDS 처리 과정을 주의깊게 구성한다면 더 구체적이고 명확한 지적 구조를 파악할 수 있음이 확인되었다.