• Communications of Mathematical Education
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• v.32 no.1
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• pp.37-57
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• 2018

In the early days, the use of concept maps in mathematics education focused on how to represent mathematical ideas in the concept map. In recent years, however, concept maps have proved beneficial for improving problem solving ability. Conceptual diagrams can be used for collaboration among students, tools for exploring problems, tools for introducing problem structures, tools for developing and systematizing knowledge systems. In this study, we focused on the structure analysis of mathematical problems using Concept Map based on the analysis of previous research. In addition, we have devised a method of using concept maps for problem analysis and a method of analysis of systematic mathematical problem structure. The method developed in this study was found to have significant value by applying to the university scholastic ability test.

• Journal of the Korean association of regional geographers
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• v.8 no.1
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• pp.110-121
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• 2002

The aim of this study is to develop multimedia courseware which can make studying picture map interesting in a more concrete and three-dimensional situation by using multimedia materials such as graphics, animation, and moving images, which breaks from the past teaching methods for picture map. The multimedia courseware used in this research can help learners understand the concept on picture map in a much easier way, and study wherever and whenever they want to. In addition, students can pass through the levels up according to their levels through the process of students' constructing the knowledge by themselves and individualized materials which can enhance their desire to learn and make the individualized learning possible.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.45-52
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• 2009

Recently, we started a project development of the digital expert system for the product design supporting in manufacturing industry. This digital expert system is used to the engineers in manufacturing industry for the process control, production management and system management. In this paper, we develop the ontology based inference engine shell for building of expert system. This expert system shell included a various functions which of Korean language supporting, graphical ontology map modeling interface, fuzzy rule definition function and etc. And, we introduce the knowledge representation method for the ontology map building and ontology based fuzzy inferencing method.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.5
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• pp.55-65
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• 2008

The strategic decision makers of the firm have faced with uncertainty and complexity. Although they must make decision under these environments, they can't have enough time, man power, budget and knowledge that they need to decide. They can't, therefore, help getting supports by experts who have implicit knowledge about the domain. But it is difficult for them to find any other procedures and methods to create, transform, combine, and apply new knowledges, whenever decision makers face the problem This paper provides a new method to support a strategic decision making by using the knowledge transformation process suggested by Nonaka. We illustrate an application case of the strategic decision making in consulting industry. This paper uses cognitive map as a decision support technology based on the suggested method.

• Korean Journal of Child Studies
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• v.29 no.1
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• pp.355-371
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• 2008

Concept mapping was used to investigate kindergarten teachers' knowledge about early childhood literature instructional content. Participants were 87 teachers recruited by the Provincial Authority for Supervision of Education in Jeonam Province. Data were analyzed by Yun's (1998) method based on Novack & Gowin (1984), Morine-Dershimer (1993), and Markham et al. (1994). Findings were that (1) the majority of the participants perceived superordinate concepts of early childhood instructional content in literature to be typesof literature, reading, writing, speaking, expression, and listening. Subordinate concepts were stated by 456 different words. (2) Types of literature and writing were highest in frequency of superordinate concepts and were also high among subordinate concepts and hierarchy. (3) Teachers' concepts varied by teaching careers in writing and reading.

• Knowledge Management Research
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• v.10 no.2
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• pp.35-48
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• 2009

The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.337-340
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• 2000

기업의 핵심역량 강화를 위한 방안으로서 출현된 지식경영은 학계와 기업에 의하여 그 중요성이 부각되어 가고 있다. 특히 지식경영의 실천방안으로서의 구축방법론은 현재 학계와 기업에 있어서 각각의 특성에 적합한 형태로 많은 연구가 진행되고 있는데, 아직까지는 이론적인 연구단계에 그치고 있는 것이 그 실정이라고 할 수 있다. 특히 지식경영 구축방법론에 대한 연구결과를 보면 많은 경우에 있어서 지식지도의 필요성을 이론적으로 강조하고 있는 반면, 실제적으로 지식 지도를 어떠한 절차를 따라서 작성해 나가는가에 대한 구체적인 언급은 전무한 상태라고 말할 수 있다. 따라서 본 연구에서는 지식경영 구축방법론의 가장 핵심적인 비중을 차지하고 있는 지식지도(Knowledge Map)의 구축방법론을 실제 산업현장에 적용함으로써 지식경영의 실제적인 응용방안을 제시하고자 한다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.375-381
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• 2007

Cognitive map (CM) has long been used as an effective way of constructing the human thinking process. In literature regarding CM, a number of successful researches were reported, where CM based what-if analysis could enhance firm's performance. However, there exit very few researches investigating the CM generation method. Therefore this study proposes a GENCOM (Genetic Algorithm based Cognitive Map Generator). In this model combined with CM and GA, GA will find the optimal weight and input vector so that the CM generation. To empirically prove the effectiveness of GENCOM, we collected valid questionnaires from expert in S/W sales cases. Empirical results showed that GENCOM could contribute to effective CM simulation and very useful method to extracting the tacit knowledge of sales experts.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.231-234
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• 2008

Urban redevelopment make a short term effects without consideration about resident‘s lives. so, there are many problems and planners solve the problems to improve urban redevelopment based on resident leaded direction. The purpose of this research is to find inherent district which is character by residents. Most of them could be explained in relation to life, religious leadership, traditional cultural heritage and democratic movement. Group interviews at a field site were carried as the main methodology by people who have an intimate knowledge of the place facts. This research has implication on a cognitive and emotional community map of residents compared to the just physical and geographical map. The places and place recognition activities and movement can be a basic foundation for residents participation in improving their housing neighborhood environment.

• Journal of Korea Multimedia Society
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• v.19 no.7
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• pp.1116-1126
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• 2016

Image segmentation is widely used in the pre-processing stage of image analysis and, therefore, the accuracy of image segmentation is important for performance of an image-based analysis system. An efficient image segmentation method is proposed, including a filtering process for super-pixels, improved saliency map information, and a merge process. The proposed algorithm removes areas that are not equal or of small size based on comparison of the area of smoothed superpixels in order to maintain generation of a similar size super pixel area. In addition, application of a bilateral filter to an existing saliency map that represents human visual attention allows improvement of separation between objects and background. Finally, a segmented result is obtained based on the suggested merging process without any prior knowledge or information. Performance of the proposed algorithm is verified experimentally.