• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.1
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• pp.71-76
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• 2017

In BIM design, the construction and use of a library are very important. Since the existing contents can be re-used, the design can be executed more effectively and efficiently. Unlike the construction, the civil engineering, in particular, the railroad sees an inappropriate development and standardization of libraries. Thus, this study aims to develop and standardize the 3D object library in the railroad facility. We first gather and analyze the railroad facility breakdown structure and relevant drawings. We then match the items of analyzed standard drawings and the breakdown structure items. It was reviewed whether the library was required according to all items, and if required, it was reviewed what software was proper. Available software were found to be Civil 3D, Revit, etc. Based on this analysis, we will design the attribute items and specifications of the 3D railroad infrastructure library, as well as construct the library thereof.

• Journal of Korean Library and Information Science Society
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• v.42 no.3
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• pp.5-24
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• 2011

The purpose of this study aims to provide possible suggestions for the improvement KDC 5th ed. as a system. After analyzing and evaluating time & space devices of KDC 5th ed.(including DDC 22th ed. and NDC 9th ed.). such as main schedules, common auxiliary tables, internal tables and notes, suggestions for the improvement were proposed. If above suggestions are adopted, effective literature classification scheme which is suited to domestic circumstances will be certainly prepared.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.3
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• pp.107-140
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• 2011

The purpose of this study is to analyze Dongkuksipji's Yeamunji, written by Bae Sang-hyun(裴象鉉) in 1855. Dongkuksipji is a kind of encyclopedia. Dongkuksipji's Yeamunji record 137 books written in Goguryeo, Silla, Goryeo, Joseon and China. Yeamunji has its own classification system which includes 15 different topics. But this classification system emphasizes too much some field, such as Chinese classics of Confucianism. Yeamunji contains information on the period of compilation, author, title, and some bibliographic introductions. Although Dongkuksipji's Yeamunji does not have a perfect system for its contents, it is worthy of notice because it is a large catalogue of ancient books compiled by just one person.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.45-52
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• 2012

Recently, BIM is used at several areas actively because of introduction of BIM in the construction industry. In particular, the recent many studies on activation of BIM information sharing is underway and it is the future direction of BIM. Moreover, it should be clearly realized. In the BIM levels of domestic construction phase, Interference Review, calculating volume estimates in part based on the active research is underway. However, still interested in reviewing building codes have relatively little interest. As BIM enabled, The methods of reviewing building codes should be transformed into a automated system by using information of BIM. In overseas, they are already using diverse softwares for reviewing modeling. Thus, For an automatic review of building regulations research is needed. this study is research on the development Domestic building codes as an automatic review process by using BIM. In order to Automatic review of the current building regulations by using BIM, this study analyzes the characteristics of each piece of information.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.134-136
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• 2019

본 논문에서는 사람의 내면상태 인식을 위한 상호작용 체계 구축을 위하여 사람의 감정 데이터를 효과적으로 수집하기 위한 프로토콜을 제안하고, 프로토콜에 따라 수집된 데이터에 대한 분석 및 결과를 제시한다. 감정 데이터 수집 프로토콜의 개발은 기존 문헌과 시스템 리뷰를 통한 감정분류체계 수립, 분류체계에 따른 감정 유발 영상 수집 및 신뢰도 확보, 감정 데이터 수집을 위한 인간 대상 실험 절차 구축 및 타당도 확보의 단계로 이루어졌다. 수집된 사람의 실시간 감정 데이터는 기계학습을 통한 감정 분류 연구의 기준으로 활용이 가능하다.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.153-171
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• 2007

This study suggests that improvement of theses and dissertations retrieval can be made by applying appropriate academic department classification. We applied the Korea Research Institute for Vocational Education and Training(KRIVET)'s department classification to these and dissertations being serviced by Korea Education & Research Information Service(KERIS). The results show that the chosen classification appropriately represents diverse academic department information contained in the theses and dissertations either published or used within the recent three year period. The study also makes a number of suggestions that will facilitate the application of an academic department classification to a live system.

• Korean Journal of Construction Engineering and Management
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• v.8 no.2
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• pp.173-181
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• 2007

The purpose of this study is to estimate elemental costs of an apartment building. The adapted research method includes a case study from $^{\circ}{\AE}H^{\circ}{\phi}$ construction company. The results of this study are as follows: 1) An elemental cost format of an apartment building is proposed, 2) An elemental cost table based on a case study of $^{\circ}{\AE}H^{\circ}{\phi}$ construction company is suggested.

• Journal of Korean Library and Information Science Society
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• v.39 no.4
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• pp.171-188
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• 2008

This study investigated general problems concerning the food and nutrition field in the KDC 4th edition based comparative analysis DOC, NDC, and Disciplinary Classification System of Korean Research Foundation, and suggested on some ideas for the improvements of them. Results of the study is summarized as follows. First, the knowledge classification of the food and nutrition field is divided by nutrition, food, and food service management. Second, the library classification of the food and nutrition field deals separately with nutrition and food, namely the nutrition is subdivided in medical science and food is subdivided in home economics. Third, the food and nutrition field in the KDC 4th edition had to be improved to use current terminology, to choose appropriate headings, and to subdivide the subjects more to introduce new topics.

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.127-147
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• 2020

The world is suffering from numerous human and economic losses due to the novel coronavirus infection (COVID-19). The Korean government established a strategy to overcome the national infectious disease crisis through research and development. It is difficult to find distinctive features and changes in a specific R&D field when using the existing technical classification or science and technology standard classification. Recently, a few studies have been conducted to establish a classification system to provide information about the investment research areas of infectious diseases in Korea through a comparative analysis of Korea government-funded research projects. However, these studies did not provide the necessary information for establishing cooperative research strategies among countries in the infectious diseases, which is required as an execution plan to achieve the goals of national health security and fostering new growth industries. Therefore, it is inevitable to study information services based on the classification system and classification model for establishing a national collaborative R&D strategy. Seven classification - Diagnosis_biomarker, Drug_discovery, Epidemiology, Evaluation_validation, Mechanism_signaling pathway, Prediction, and Vaccine_therapeutic antibody - systems were derived through reviewing infectious diseases-related national-funded research projects of South Korea. A classification system model was trained by combining Scopus data with a bidirectional RNN model. The classification performance of the final model secured robustness with an accuracy of over 90%. In order to conduct the empirical study, an infectious disease classification system was applied to the coronavirus-related research and development projects of major countries such as the STAR Metrics (National Institutes of Health) and NSF (National Science Foundation) of the United States(US), the CORDIS (Community Research & Development Information Service)of the European Union(EU), and the KAKEN (Database of Grants-in-Aid for Scientific Research) of Japan. It can be seen that the research and development trends of infectious diseases (coronavirus) in major countries are mostly concentrated in the prediction that deals with predicting success for clinical trials at the new drug development stage or predicting toxicity that causes side effects. The intriguing result is that for all of these nations, the portion of national investment in the vaccine_therapeutic antibody, which is recognized as an area of research and development aimed at the development of vaccines and treatments, was also very small (5.1%). It indirectly explained the reason of the poor development of vaccines and treatments. Based on the result of examining the investment status of coronavirus-related research projects through comparative analysis by country, it was found that the US and Japan are relatively evenly investing in all infectious diseases-related research areas, while Europe has relatively large investments in specific research areas such as diagnosis_biomarker. Moreover, the information on major coronavirus-related research organizations in major countries was provided by the classification system, thereby allowing establishing an international collaborative R&D projects.

• Journal of KIISE:Databases
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• v.33 no.1
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• pp.102-116
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• 2006

Electronic catalogs (or e-catalogs) hold information about the goods and services offered or requested by the participants, and consequently, form the basis of an e-commerce transaction. Catalog management is complicated by a number of factors and product classification is at the core of these issues. Classification hierarchy is used for spend analysis, custom3 regulation, and product identification. Classification is the foundation on which product databases are designed, and plays a central role in almost all aspects of management and use of product information. However, product classification has received little formal treatment in terms of underlying model, operations, and semantics. We believe that the lack of a logical model for classification Introduces a number of problems not only for the classification itself but also for the product database in general. It needs to meet diverse user views to support efficient and convenient use of product information. It needs to be changed and evolved very often without breaking consistency in the cases of introduction of new products, extinction of existing products, class reorganization, and class specialization. It also needs to be merged and mapped with other classification schemes without information loss when B2B transactions occur. For these requirements, a classification scheme should be so dynamic that it takes in them within right time and cost. The existing classification schemes widely used today such as UNSPSC and eClass, however, have a lot of limitations to meet these requirements for dynamic features of classification. In this paper, we try to understand what it means to classify products and present how best to represent classification schemes so as to capture the semantics behind the classifications and facilitate mappings between them. Product information implies a plenty of semantics such as class attributes like material, time, place, etc., and integrity constraints. In this paper, we analyze the dynamic features of product databases and the limitation of existing code based classification schemes. And describe the semantic classification model, which satisfies the requirements for dynamic features oi product databases. It provides a means to explicitly and formally express more semantics for product classes and organizes class relationships into a graph. We believe the model proposed in this paper satisfies the requirements and challenges that have been raised by previous works.