• Journal of the Korean Home Economics Association
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• v.49 no.1
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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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• v.3 no.2
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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.

• Korean Journal of Construction Engineering and Management
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• v.11 no.5
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• pp.65-74
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• 2010

The design with construction knowledge and experience can eliminate inefficiency in the process of construction and improve productivity in all phase of construction project. To utilize constructability knowledge most effectively in design phase, the information must be made available to the design team at the proper point in time. Current methods for effective utilization of constructability knowledge have focused on the structuralization of constructability knowledge such as checklist, which lack the consideration of the proper point in time. However, constructability knowledge which is used at the inapposite point in time consequently leads to unnecessary rework. To minimize this inefficiency and improve productivity, project manager needs to consider the design process and know what constructability knowledge is required for specific design activities. This paper therefore presents a design process management using Dependency Structure Matrix (DSM) that focus on information flows between design activities and constructability knowledge. We expect that the results of this paper will support that design process management become comprehensive management related to every phase of construction project beyond design review or inspection in design phase, and be used as a basis of the integration of design and construction.

• Journal of the Korean Society for information Management
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• v.19 no.4
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• pp.349-381
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• 2002

The 21st century survive only who creating, taking, and managing to knowledge. Digital contents industry becomes to the core in the future. That is, to win in a competition have to the digitalizing knowledge contents to all knowledge and information resources. Therefore, it needs to the digital contents management and the distribution framework. This study aims to propose a model stages in the knowledge contents-decision process, KM Matrix, and KMI Score founded on digital contents framework and diffusion of innovation.

• International Journal of Contents
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• v.12 no.4
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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.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.12
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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.

• Knowledge Management Research
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• v.4 no.1
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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.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.04a
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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.

• Journal of the Korean Home Economics Association
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• v.47 no.8
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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.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.2
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• pp.335-357
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• 2007

There has been many studies representing intellectual structures with multidimensional scaling(MDS) However MDS configuration is limited in representing local details and explicit structures. In this paper, we identified two components of MDS mapping approach; one is MDS algorithm and the other is preparation of data matrix. Various combinations of the two components of MDS mapping are compared through some measures of fit. It is revealed that the conventional approach composed of ALSCAL algorithm and Euclidean distance matrix calculated from Pearson's correlation matrix is the worst of the compared MDS mapping approaches. Otherwise the best approach to make MDS map is composed of PROXSCAL algorithm and z-scored Euclidean distance matrix calculated from Pearson's correlation matrix. These results suggest that we could obtain more detailed and explicit map of a knowledge domain through careful considerations on the process of MDS mapping.