• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.149-161
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• 2013

In this paper, we propose a novel approach to construction of classification hierarchies for user tags of folksonomies, using WordNet-based Formal Concept Analysis tool, called TagLighter, which is developed on this research. Finally, to give evidence of the usefulness of this approach in practice, we describe some experiments on user tag data of Bibsonomy.org site. The classification hierarchies of user tags constructed by our approach allow us to gain a better and further understanding and insight in tagged data during information retrieval and data analysis on the folksonomy-based systems. We expect that the proposed approach can be used in the fields of web data mining for folksonomy-based web services, social networking systems and semantic web applications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1877-1893
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• 2009

Folksonomy is a user-generated taxonomy to organize information by which a user assigns tags to resources published on the web. Triadic datas that indicate relations of between users, tags, and resources, are created by collaborative tagging from many users in folksonomy-based system. Such the folksonomy data has been utilized in the field of the semantic web and web2.0 as metadata about web resources. In this paper, we propose FCA-based folksonomy data mining approach in order to extract the useful information from folksonomy data with various points of view. And we developed tool for supporting our approach. In order to verify the usefulness of our proposed approach and FMT, we have done some experiments for data of del.icio.us, which is a popular folksonomy-based bookmarking system. And we report about result of our experiments.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.1
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• pp.125-136
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• 2018

This study classified and analyzed the assignments for the Hanbok skill contests between 1998 and 2017 so that the Korean hanbok can be properly passed down. this study proposes a variety of useful values for the Hanbok culture industry by providing basic data on various Hanbok making techniques to the Hanbok artisan. The results of the analysis of 39 assignments for the Hanbok skill contest are as follows. Firstly, The 20 assignments presented in the Local Skills Competitions consisted of 13 tasks (65%) in formal wear and 7 tasks (35%) in casual wear. Formal wear is mainly comprised of men's and children's wear (85.7%). There are Pungcha Baji, Sagusam, Kkachi Durumagi, Jeonbok & Bokgeon, Durumagi, and others on the formal wear of men'schildren's wear. In casual wear, 66.7% of women's wear such as scarves, skirts, jeogori, Hwejang Jeogori & chima were on the list of assignments. Secondly, All of the 19 assignments presented in the National Skills Competitions were in adult suits. Thirteen tasks (68.4%) were in formal wear and 6 tasks (31.6%) were in casual wear. Nine out of the 13 formal wear tasks (69.2%) were men's clothes. In 6 assignments of the casual wear, men's and women's clothes were presented three times each. Formal wear that had many assignments was the men's Chulik, which was presented three times in 2006, 2008 and 2016. Thirdly, Eighteen (90%) of the 20 assignments presented at the Local Skills Competitions were for lined clothes, and the remaining 2 (10%) were for unlined clothes. Eleven tasks (57.9%) out of the 19 assignments presented in the National Skills Competitions were for lined clothes, and 8 tasks (42.1%) were for unlined clothes.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.85-92
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• 2019

Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network's statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media's data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework's design by performing Z model checking of formal specification's output through Z-EVES tool.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1130-1137
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• 2022

The Industry Foundation Classes (IFC) provides standardized product models for the building construction domain. However, the current IFC schema has limited representation for infrastructure. Several studies have examined the data schema for road and highway modeling, but not in a sufficiently comprehensive and robust manner to facilitate the overall integrated project delivery of road projects. Several discussions have focused on slope engineering for road projects, but no solution has been provided regarding the formalized parametric modeling up to now. Iterative design, analysis, and modification are observed during the process of slope design for road projects. The practitioners need to carry out the stability analysis to consider different road design alternatives, including horizontal, vertical, and cross-section designs. The procedure is neither formalized nor automated. Thus, there is a need to develop the formal representation of the product and process of slope analysis for road design. The objective of this research is to develop a formal representation (i.e., an IFC extension data schema) for slope analysis. It consists of comprehensive information required for slope analysis in a structured manner. The deliverable of this study contributes to both the formal representation of infrastructure development and, further, the automated process of slope design for road projects.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.5
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• pp.713-722
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• 1995

The purpose of the study is to investigate the types of apparel usage situations percieved by female consumers. Data (N=132) were collected via a questionnaire developed on the focused stoup interviews and previous studies. By multidimensional scaling (MDS) analysis, two dimensions of perceptual criteria on apparel usage situations are identified: formality, and normative aspects of apparel style. Results indicate that apparel usage situations perceived by female consumers can be classified into four major types: (1) Formal-Normative Situations, (2) Informal-Normative Situations, (3) Informal-Normless Situations, and (4) Formal-Normless Situations.

• Journal of the Korean Society of Clothing and Textiles
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• v.14 no.1 s.33
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• pp.31-43
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• 1990

This research studied the first impression of a stranger in various styles of Korean or Western attire in several socially interacting contexts. The semantic differential scale was used to analyze the responses of IHO male and 180 female university students to line drawings of male and female figures in Korean or Western formal and informal attire in campus, office, and ambiguous contexts. The data were analyzed by factor analysis, one-way ANOVA, and Duncan's test. Six factors emerged to account for dimensions of first impressions. These were evaluation, potency, prestige and formality, conformity, likableness, and conspicuousness. Clothing styles had a larger effect on responses than context. Persons in traditional Korean styles were perceived as more prestigious, formal, individualistic, and less competent than those in Western styles. Conversely persons in both formal and informal Western styles were perceived as more attractive and more competent than those in traditional Korean styles. Persons in casual Western styles were considered least prestigious and least formal. A weak interaction effect was found between clothing style and social context.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.53 no.6
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• pp.380-387
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• 2004

In accordance with the computerization of railway signaling systems, the interface link between the signaling systems has been replaced by a digital communication channel. At the same time, the importance of the communication link has become increasingly significant. However, there are some questionable matters in the current state of railway signaling systems in KNR. First, different communication protocols have been applied to create an interface between railway signaling systems although the protocols have the same functions. Next, the communication protocols currently used in the railway fields have some illogical parts such as structure, byte formation, error correction scheme, and so on. To solve these matters, the standard communication protocol for railway signaling systems is designed. The newly designed protocol is overviews in this paper. And the simulation is performed to analysis the performance of data link control for designed protocol. According to this simulation, it is identified that the link throughput of new protocol is improved about 10% and the frame error rate is improved than existing protocol. And it is verified the safety and liveness properties of designed protocol by using a formal method for specifying the designed protocol. It is expected that there will be an increase in safety, reliability and efficiency in terms of the maintenance of the signaling systems by using the designed communication protocol for railway signaling.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.125-160
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• 2007

Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

• The Research Journal of the Costume Culture
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• v.8 no.6
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• pp.864-870
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• 2000

The purpose of this study were to investigate clothing design preference (style, color, fabric print, kinds of fabrics) & satisfaction with the fit of ready-to-wear clothing for older Men. For this study, the questionnaires were administered to 650 older men in seoul from June to August, 1998. Employing a sample of 504 data were analyzed by mean, frequency and percent. With respect to clothing design preference, they prefer suit the style of outdoor clothing on going-out. On distinguish clothing into formal wear & casual wear, the color preference due to seasons has difference in spring clothing. Regarding the degree of fabric pattern preference, nonpattern single color fabric has occupied in formal wear, pattern in casual wear. Regarding the degree of fabric preference, they take a serious view of shape preservation in formal wear, utility (washing, sweat absorption) in causal wear. Suit has the lowest satisfaction in the fit of ready-to-wear clothing. Sleeve length the lowest in the degree of satisfaction for each part.