• Journal of The Korean Association For Science Education
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• v.22 no.4
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• pp.796-805
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• 2002

This study examined the knowledge structure constructed by children before formal instruction, and successive changes in the structural complexity of knowledge during and after the learning of 'Structure and Function of Plant' unit. It also investigated how those changes were affected by children's learning modes. The researchers made the 5th graders draw the first draft of their concept map to see the pre-existing knowledge structure concerned with the unit and four more concept maps after completing every fourth lesson. And to see how long their knowledge structures were preserved, the researchers made children draw additional concept maps in 3 days, 3 months, and 7 months after completing the unit. Children drew their current concept maps on the basis of the previous one while learning the unit and without the previous one after completing the unit. Each concept map drawn by children showed the degree of their current understanding on the structures and functions of plants. The results revealed that only two levels of hierarchy and five relationships among the components of the first concept map(relationship, hierarchy, cross link and example) were proven to be valid in terms of conceptual relevance. Growth in the structural complexity of knowledge took place progressively throughout the unit and the effects of learning mode on the growth were favorably reflected in concept map scores of meaningful learners over time(relationship, cross link, example: p<.01, hierarchy: p<.05). Although there were some differences on the concept map scores between two types of learners, they commonly showed that knowledge restructuring had occurred apparently in the early periods from the 1st to the 6th lesson and had not occurred at all in the last period of the unit. The frequency of tuning was higher in rote learners than in meaningful learners throughout the unit, but the frequency of accretion was reverse. Concept map scores of rote learners constructed in the course of learning of the unit decreased little by little gradually in all the categories after completing the unit. However, the average total map score of meaningful learners increased a little more in 7 months than in 3 months after completing the unit. Therefore it can be inferred that meaningful learners construct more stable and well-differentiated knowledge structures than the rote learners.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.9
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• pp.1199-1208
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• 2013

In recent years, the development of application programs for distribution system analysis and control has been essential part for distribution management system (DMS). In this paper, we propose the common database for application programs of distribution management system. The proposed database model has several characteristics as followings. First, the proposed database model is designed for the common use of almost the whole distribution application software. The static equipment model and dynamic type tables are mixed and the parallel table structure is applied. Second, the linked list structure of database are used for the fast processing of applications. The database model includes the hierarchy and non-hierarchy distribution system structure. Third, the reduction method of distribution database is applied. For this, we present the network reduction rules. The basic concept of reduction rules are the electrical unification of successive line section which has not lateral branches and the removal of simple lateral branches which has no devices and other laterals. Proposed database model is tested for the Jeju system of Korea Electric Power Corporation (KEPCO). Through the test, we verified that the proposed database structure can be effectively used to accomplish the distribution system operation.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.4
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• pp.61-70
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• 1996

This paper deals with consciousn~s structure by means of human subjective judgement. Fuzzy structural modeling which is a modeling method for consciousness structure have the large number of pairwise comparigon by human subjective judgement, is difficplt to check the consistency index which denotes the precision for human judgement. To improve these points, we set the structure of consciousness by fuzzy structural modeling method using the concept of pairwise compariqon matrix in AHP. The efficiency of this method is showed by means of the consciousness structure graph to the qyality system construction.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.557-568
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• 2008

An ontology as the core element of Semantic Web is a formal specification of a conceptualization of shared domain knowledge. The use of well-defined ontologies can increase the quality of interoperable information systems in the area of Semantic Web. However, in practice, it is not easy to develop high-quality ontologies which have no errors. Therefore, with methodologies for ontology design, various methods or tools for ontology analysis supporting for error-detection might be very helpful for ontology developers. In this paper, we propose a novel approach for analyzing the core constructs of ontology based on the Formal Concept Analysis and develop a tool that supports error-checking ontologies. Our approach can serve not only as a guidance to modify the existing ontologies, but also as a valuable tool in developing high-quality ontologies.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.111-125
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• 2011

Clustering is a process of grouping similar or relevant documents into a cluster and assigning a meaningful concept to the cluster. By this process, clustering facilitates fast and correct search for the relevant documents by narrowing down the range of searching only to the collection of documents belonging to related clusters. For effective clustering, techniques are required for identifying similar documents and grouping them into a cluster, and discovering a concept that is most relevant to the cluster. One of the problems often appearing in this context is the detection of a complex concept that overlaps with several simple concepts at the same hierarchical level. Previous clustering methods were unable to identify and represent a complex concept that belongs to several different clusters at the same level in the concept hierarchy, and also could not validate the semantic hierarchical relationship between a complex concept and each of simple concepts. In order to solve these problems, this paper proposes a new clustering method that identifies and represents complex concepts efficiently. We developed the Hierarchical Overlapping Clustering (HOC) algorithm that modified the traditional Agglomerative Hierarchical Clustering algorithm to allow overlapped clusters at the same level in the concept hierarchy. The HOC algorithm represents the clustering result not by a tree but by a lattice to detect complex concepts. We developed a system that employs the HOC algorithm to carry out the goal of complex concept detection. This system operates in three phases; 1) the preprocessing of documents, 2) the clustering using the HOC algorithm, and 3) the validation of semantic hierarchical relationships among the concepts in the lattice obtained as a result of clustering. The preprocessing phase represents the documents as x-y coordinate values in a 2-dimensional space by considering the weights of terms appearing in the documents. First, it goes through some refinement process by applying stopwords removal and stemming to extract index terms. Then, each index term is assigned a TF-IDF weight value and the x-y coordinate value for each document is determined by combining the TF-IDF values of the terms in it. The clustering phase uses the HOC algorithm in which the similarity between the documents is calculated by applying the Euclidean distance method. Initially, a cluster is generated for each document by grouping those documents that are closest to it. Then, the distance between any two clusters is measured, grouping the closest clusters as a new cluster. This process is repeated until the root cluster is generated. In the validation phase, the feature selection method is applied to validate the appropriateness of the cluster concepts built by the HOC algorithm to see if they have meaningful hierarchical relationships. Feature selection is a method of extracting key features from a document by identifying and assigning weight values to important and representative terms in the document. In order to correctly select key features, a method is needed to determine how each term contributes to the class of the document. Among several methods achieving this goal, this paper adopted the $x^2$�� statistics, which measures the dependency degree of a term t to a class c, and represents the relationship between t and c by a numerical value. To demonstrate the effectiveness of the HOC algorithm, a series of performance evaluation is carried out by using a well-known Reuter-21578 news collection. The result of performance evaluation showed that the HOC algorithm greatly contributes to detecting and producing complex concepts by generating the concept hierarchy in a lattice structure.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.208.2-208.2
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• 2010

폐기물 가스화는 생산된 합성가스를 이용하여 발전 등 직접적인 에너지원으로 이용할 수 있으며, 고부가가치 화합물의 원료 공급원으로도 이용할 수 있다. 폐기물 가스화를 이용한 고부가가치 화합물 제조의 경우 기존 화합물 제조공정에 폐기물 가스화 공정이 연계되어, 하나의 복합시스템으로 운영이 된다. 따라서 기존 공정과 최적으로 연계될 수 있는 폐기물 가스화 시스템의 개발 또는 선정이 필요하며, 이를 위하여 폐기물 가스화 시스템에 대한 분석 평가가 적절하게 이루어져야 한다. 본 연구에서는 시스템공학 개념을 적용하여 폐기물 가스화 시스템의 체계적인 분석 평가를 위한 프레임워크를 개발하였다. 시스템공학은 요건분석, 기능분석, 합성(통합), 분석/관리 프로세스를 통하여 시스템을 성공적으로 구현하기 위한 다학제적인 접근방법이다. 이러한 시스템공학의 개념 및 기본 프로세스를 적용 조정하여 폐기물 가스화 분석 평가 프레임워크를 개발하였으며, 개발된 프레임워크는 계층구조로 표현이 된다. 계층구조는 분석관점, 분석항목, 분석지표로 구성이 되며 분석된 데이터에 대한 평가는 AHP를 통하여 계산된 가중치를 적용하여 이루어진다.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.3
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• pp.441-457
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• 2011

In this study, the axiomatic design(AD) method is applied to construct the hierarchical structure of evaluation criteria and the AHP method is used to calculate the weights of criteria in order to develop the proposal evaluation index for the overseas weapon system purchasing projects. The common evaluation items as main categories are selected through the review of evaluation criteria from the previous works and projects, relevant regulations and defense policy, and the design matrix using fuzzy concept is established and evaluated by the expert group in each design phase to determine the independency, that is the satisfaction of decoupled or uncoupled design, for each criteria in the same hierarchy when they are derived from the main categories. The establishment of decoupled or uncoupled design matrix provides mutually exclusiveness of how small number of DPs can be accounted for FRs within the same hierarchy. The proposal evaluation index developed in this study will be used as a general proposal evaluation index for the overseas weapon system purchasing projects which there are no systematically established evaluation tools.

• Journal of The Korean Association For Science Education
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• v.15 no.2
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• pp.213-222
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• 1995

Analyzing textbook is the first step for enhancing the level of biology education especially in Korea. Prior studies of textbook analysis have mostly dealt with such topics as terminology analysis, content analysis, relationship analysis of chapters, and comparative studies. However, not much attention was paid to concept system to be learned and to relevance of concepts chosen. Therefore, the purpose of this study is to clarify the concept system and to elucidate the relationship among concepts for effective learning. Novak's concept map was utilized as a theoretical framework for the analysis of chapter I of high school biology textbook. Concept map has several distinctive merits in many aspects such as teaching, learning, and evaluation. It not only makes the understanding of key concepts and proposition a lot easier, but also helps to link prior knowledge and new concepts more effectively. This study will be a basic material for improving textbook for effective biology learning. The conclusions of the study are as follows: 1. Concepts in subchapters were arranged unsystematically or they were overlapping. For more effective understanding, those items should be rearranged. 2. Key concepts are not arrayed properly according to their hierarchy. Therefore, it was hard for students to set up concept structure. 3. The concepts emphasized by bold letters were not selected properly in accordance with their importance. Appropriate concepts should be chosen. 4. Key concepts should be explained by using examples in everyday life for easy understanding. 5. Many concepts in molecular biology is too abstract to grasp their meaning. Therefore, many audio-visual materials should be used to aid concept building.

• Journal of Korean Society of Transportation
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• v.25 no.4
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• pp.123-133
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• 2007

This study analyzed whether a transit network with hierarchy is efficient or not, and if transit network hierarchy has cost efficiency, then which condition guarantees the efficiency of the transit network hierarchy. The authors modeled the total cost of the transit network and suggested the conditions in which the transit network hierarchy has cost efficiency through comparing the cost of the transit network with and without hierarchy. The efficiency of transit network hierarchy is guaranteed when the travel cost savings induced by using a higher hierarchy transit network is larger than the increasing non-travel cost, which is the sum of access cost, waiting cost, and operating cost, induced by the introduction of a higher hierarchy transit network. This result is consistent with common sense and with the concept of cost and benefit analysis. If a passenger traveling within the area divided by a higher hierarchy transit network uses only a lower hierarchy transit network and the passenger traveling out of the area divided by the higher hierarchy transit network uses both lower and higher hierarchy transit networks, the travel demand using the higher hierarchy transit network is inversely proportional to the square of the line spacing. This means that the transit network becomes more efficient and small increases of travel demand guarantee the efficiency of the transit network hierarchy as the connectivity of the network becomes higher. This result shows that transit networks have economies of aggregation. This study is the first analytical research on transit network hierarchy and is expected to be a basis for numerical research. However, numerical research should complement this study, since analytical research has some limitations for considering a real network.

• Journal of the Daesoon Academy of Sciences
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• v.35
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• pp.427-476
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• 2020

Park Wudang formally registered Daesoon Jinrihoe in 1969. While it shares ideas and history with other Jeungsanist groups, this paper argues that its organizational profile is unique. The two major institutional structures, the bonbu (headquarters) and the bangmyeon (branch) have together created space for the rapid development of this Korean new religion. The bonbu is a centralized hierarchy, while the bangmyeon exhibits the strong loyalty and cohesiveness of the clan. Running throughout both structural forms is the lineage concept, which is conceived here as an articulating paradigm able to operate in different organizational forms. This finely-balanced institutional structure makes a major contribution to Daesoon Jinrihoe's ability to fulfill its religious mission. The first side of this balance is the headquarters, which includes the core organization based in Yeoju as well as some outside temples and training centers. All of these were established under the direction of the Lord of Principle, the Dojeon, Park Wudang. Park Wudang also fixed the Dao Constitution, the Doheon, which serves as a blueprint for governance. From the Central Council to the various institutions for propagation, guidance, and auditing, current management practices conform closely to Park Wudang's organization vision. The second aspect of Daesoon Jinrihoe's organization is the branch structure. The larger branches, such as Yeongwol and Geumreung, are complex organizations in their own rights. The paper concludes by characterizing the two major axes of headquarters and branch as organizational types. Using Robert Quinn and Kim Cameron's institutional typology, the paper concludes that the bonbu is a classic centralized hierarchy with its focus on efficiency. The bangmyeon, in contrast, with its high level of group identity and spirit, comes approximates the clan institutional structure.