• The Journal of Korean Medicine
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• v.35 no.1
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• pp.41-49
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• 2014

Objectives: We propose a method to model and represent formulas in Korean medicine information systems. Methods: All the formulas were codified in the form of graphs representing the relationship between a formula and its constituents. To identify a unique formula in a graph, the formula's name, the book in which the formula was written, the book where the formula was extracted, and the page number in the extracted book are used. All the formulas and the relationship between formulas are modelled as an ontology based on graphs. Results: A formula search system was constructed using our ontology, which can represent formula information efficiently by grouping and filtering of formulas. Our formula model was also constructed as a mobile application. Conclusions: The information in our formula search system depends on our ontology. However, our model or our search scenarios could be extended according to formula information.

• The Mathematical Education
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• v.51 no.1
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• pp.21-45
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• 2012

The purpose of the study was to investigate how students understand each operations with whole numbers and fractions, and the relationship between their knowledge of operations with whole numbers and conceptual understanding of operations on fractions. Researchers categorized students' understanding of operations with whole numbers and fractions based on their semantic structure of these operations, and analyzed the relationship between students' understanding of operations with whole numbers and fractions. As the results, some students who understood multiplications with whole numbers as only situations of "equal groups" did not properly conceptualize multiplications of fractions as they interpreted wrongly multiplying two fractions as adding two fractions. On the other hand, some students who understood multiplications with whole numbers as situations of "multiplicative comparison" appropriately conceptualize multiplications of fractions. They naturally constructed knowledge of fractions as they build on their prior knowledge of whole numbers compared to other students. In the case of division, we found that some students who understood divisions with whole numbers as only situations of "sharing" had difficulty in constructing division knowledge of fractions from previous division knowledge of whole numbers.

• Korean Journal of Human Ecology
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• v.13 no.4
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• pp.609-616
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• 2004

The purpose of this study is to examine the difference of judge's gender and age groups in preference of S/S men's suit fabrics, and to analyze the relationship between the preference and the texture by gender and age group. For this study, 60 types of S/S men's suit fabrics were used with variously-composed fibers, such as wool, wool-blended, and PET, thickness, and weight. To evaluate the texture and the preference subjectively, nine ranks' semantic differential scale questions of 22 texture adjectives and preference of 4 apparel items were developed, Through the factor analysis, texture adjectives were classified into 7 categories: "stiffness," "elasticity," "bulkiness," "coolness," "smoothness," and "drapability." Depending on gender and age groups of judges, statistically significant differences on texture factors and the preference were observed. Especially, men under 30 years of age showed a higher grade of stiffness and a lower preference on pants than other groups. The relationship between the texture and the preference was different by gender and age group: Women evaluated a preference of men's suit fabrics in relation to stiffness and smoothness, whereas men did so in relation to stiffness, smoothness, coolness, and drapability. A young age group put more importance on drapability for preference of men's suit fabric.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.735-749
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• 2016

Purpose: This study is addressing the establishment of the knowledge information system supplying the quality management of weapon system. It is going to support the continuous quality management through the linkages and integration between the product structure and the quality information. Methods: The interrelated relationship of the product structure information and quality information of weapon system would be expressed explicitly by taking advantage of the ontology concept. The quality information of distributed systems would be integrated through the SOA(Service Oriented Architecture)-based Web services. After defining the inference rules, which could be utilized in the quality management, in the constructed knowledge information system, the quality information would be inferred through the queries. Results: By building the integrated quality information knowledge system through the ontology and SOA, the connectivity between the product structures and dispersed quality information was enhanced. The utility and applicability of this study were checked up through the inferences on the products and quality information by using the information built by the semantic relationship of facts. Conclusion: We established the knowledge and information system as a systematic approach to support the quality management of weapon system. This is not affected by the organizations and systems, and it seems that it could be utilized across the quality management as the efficient knowledge sharing architecture supporting the quality management of weapon systems in the aspect of the product integration.

• Journal of the Korean Society for information Management
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• v.1 no.1
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• pp.25-42
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• 1984

The intellectual organization of information for storage and retrieval is one of the problem areas of information science. But the most of the methods have been developed are based on the coordination of keywords by Boolean logic or traditional classification systems. It is necessary to include in indexing process not just concepts or keywords, but also to express explicitly the relationship between them. Farradane believed that such a system should be founded on the psychology of thinking and developed an outline structure for concept organization and a series of explicit relations. The system of relational operators provides nine symbols which enable the semantic relationship between any two concepts to be explicitly specified in a analet. With the addition of the permutations of such analets, formed according to simple rules, alphabetical arrangement of the first term provides a complete logical subject index. Relational indexing as the basis of an indexing language has the potential to offer improved retrieval performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.4
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• pp.727-739
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• 2021

The purpose of this study is to present the objective evaluation semantic scale of avant-garde design. Apparel majors were asked to express associative vocabulary, design development, and final design intentions for the avant-garde, and the final 70 copies were used for analysis. The results found the item style was shown often in the order of dress, coat, and combination of shirt and pants. In order, the silhouettes appeared as atypical, complex, square, and triangular; the decorations appeared as feathers, frills, and round sculptures; and the idea method appeared as extreme, association, and removal method. In examining the relations of associative words and idea designs, the dress had relations with associative words such as 'peculiar,' 'futuristic,' 'fancy,' 'Comme des Garcons,' and 'deconstruction.' As for the relationship between the idea design and the expression image vocabulary, it was found that 'one piece' recalled 'huge,' 'volume,' 'abundant,' 'peculiar,' and 'unknown,' while 'coat' recalled 'huge,' 'big silhouette,' and 'padding.' In conducting the word cloud technique, the overall design showed the central keywords were 'huge,' 'big silhouette,' 'unbalance,' 'feather,' 'structural,' 'unknown,' and 'frill,' in order.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.267-268
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• 2022

Recently, big data analysis can use various techniques according to the development of machine learning. Big data collected in reality lacks an automated refining technique for the same or similar terms based on semantic analysis of the relationship between words. Big data is usually in the form of sentences, and morphological analysis or understanding of the sentences is required. Accordingly, NLP, a technique for analyzing natural language, can understand the relationship of words and sentences. In this paper, we study the advantages and disadvantages of Transformers and Reformers, which are techniques that complement the disadvantages of RNN, which is a time series approach to big data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.10
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• pp.1773-1778
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• 2006

This paper propose the method of constructing the Digital Logic Systems based on the Improved Automatic Theorem Proving Techniques(IATP) over Finite Fields. The proposed method is as following. First, we discuss the background and the important mathematical properties for Finite Fields. Also, we discuss the concepts of the Automatic Theorem Proving Techniques(ATP) including the syntactic method and semantic method, and discuss the basic properties for the Alf. In this step, we define several definitions of the IAIP, Table Pseudo Function Tab and Equal. Next, we propose the T-gate as Building Block(BB) and describe the mathematical representation for the notation of T-gate. Then we discuss the important properties for the T-gate. Also, we propose the several relationships that are Identity relationship, Constant relationship, Tautology relationship and Mod R cyclic relationship. Then we propose Mod R negation gate and the manipulation of the don't care conditions. Finally, we propose the algorithm for the constructing the method of the digital logic systems over finite fields. The proposed method is more efficiency and regularity than my other earlier methods. Thet we prospect the future research and prospects.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.149-156
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• 2011

Recently, enterprise systems require the necessity of integration for data sharing and cooperation. As a methodology for integration, Service-Oriented Architecture for service integration and Master Data for integration of data, which is used for service, were appeared. This paper suggests a method that operates BP(Business Process) efficiently. We make XMDR(eXtended Meta Data Registry) as knowledge-repository to support the BP and construct data hubs to operate it. XMDR manages MDM(Master Data Management) to integrate the data, resolves heterogeneity between the data and provides relationship to the business efficiently. This is composed of MDR(Meta Data Registry), ontology and BR(Business Relations). MDR describes relationship between meta data to solve structured heterogeneity. Ontology describes semantic heterogeneity and relationship between data. BR describes relationship between tasks. XMDR data hub supports the management of master data and interaction of different process effectively.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.672-678
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• 2008

Entities in reality have direct relationships between each other. They also have new and indirect relationships through such direct relationships. An ontology gives explicit meaning of such relationships. Thus, we can discover new relationships between entities based on an ontology. Such new relationships are applied in indentifying new communities or constructing social networks. Measuring for the degree of relationships is an important problem in such domains. This paper proposes a measurement for the degree of relationships between entities based on an ontology. Most of researches are based on connected paths between entities. However, there are meaningful relationships between two entities through the schema in an ontology even through there are no connected paths between the entities. The proposed method measures for the degree of relationships between two entities not based on connected paths, but also relationships through the schema. The experiment result shows that the relationships through the schema are meaningful to measure the degree of relationships between entities.