• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.13-23
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• 2000

As software becomes more complicated and large-scaled, user's demands become more varied and his expectation levels about software products are raised. Therefore it is very important that a software engineer analyzes user's requirements precisely and applies it effectively in the development step. This paper presents a requirements analysis system that reduces and revises errors of requirements specifications analysis effectively. As this system measures the similarity among requirements documents and sentences, it assists users in analyzing the dependency among requirements specifications and finding the traceability, redundancy, inconsistency and incompleteness among requirements sentences. It also extracts sentences that contain ambiguous words. Indexing method for the similarity measurement combines sliding window model and dependency structure model. This method can complement each model's weeknesses. This paper verifies the efficiency of similarity measure techniques through experiments and presents a proccess of the requirements specifications analysis using the embodied system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1402-1408
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• 2013

Document managements are very important in internal communication for good performance on projects. In case of small scale projects, the document management criteria often have very different from each of the cooperation departments and changes of document structure of work process are frequent over a project period. In this thesis, we propose a monitoring system of document management which is based on P2P(Peer-to-Peer). The proposed monitoring system of document management, which is based on P2P, makes up for time limits and a specific work process in small scale project groups. It can be managed focusing on work process and can monitor effectively the status of creations, sharing and distributions of documents. We can be installed at a low cost by using P2P in a small scale project.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.789-796
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• 2005

Because existing information retrieval systems, in particular library retrieval systems, use 'exact keyword matching' with user's query, they present user with massive results including irrelevant information. So, a user spends extra effort and time to get the relevant information from the results. Thus, this paper will propose SULRM a Retrieval Model using Subject Classification Table, User profile, and LSI(Latent Semantic Indexing), to provide more relevant results. SULRM uses document filtering technique for classified data and document ranking technique for non-classified data in the results of keyword-based retrieval. Filtering technique uses Subject Classification Table, and ranking technique uses user profile and LSI. And, we have performed experiments on the performance of filtering technique, user profile updating method, and document ranking technique using the results of information retrieval system of our university' digital library system. In case that many documents are retrieved proposed techniques are able to provide user with filtered data and ranked data according to user's subject and preference.

• Communications of Mathematical Education
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• v.31 no.1
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• pp.85-101
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• 2017

The purpose of this study is to investigate how elementary school students understand and use the number line relating number concept and what is the main problem in the learning process. For the efficient achievement of this purpose, we investigated how the number line metaphor is related to the number concept and considered the role of the number line on Freudenthal's number concept teaching theory. The test conducted to find the degree of understanding and difficulty on using the number line by actual elementary school students consisted of two questions ; to find appropriate number corresponding to the given number on the number line and to identify contents of chapters about the use of number line on each grade. It was found that many students couldn't solve the problem represented by the number line though they could solve the problem represented by other ways such as number track and pictures. The only difference between the two problems was the way of representation, and they had same contents and structure. This study tried to figure out the meaning of this phenomenon. Also, by using various teaching-learning method (number track, pictures, empty number line, and double number line etc.), this study was aimed to provide the way to help learning 'related number concept' and to solve the difficulty on understanding the number line.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.440-440
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• 2018

홍수피해의 위험성이 증가하고, 발생 시기가 불규칙해짐에 따라 보다 효과적인 홍수위험관리가 요구되며, 최적의 홍수피해저감대책을 수립하기 위해서는 다양한 홍수피해저감 대책들에 대해서 비용대비 피해저감효과 분석이 필요하다(FLOODsite, 2007). 홍수피해저감효과를 분석하기 위해서는 수리 수문학적 분석을 통한 피해범위와 침수심 등 피해규모를 분석함과 함께 피해규모에 따른 홍수피해액 추정이 가능해야 하며, 이를 통해 홍수피해저감 대책에 대한 비용대비 효과분석 수행이 가능하다(Kim et al., 2014). 국내에서 많이 적용되고 있는 다차원법은 침수편입율을 산정하고 건물에 대해서 손상률에 해당하는 피해율이 제시되어 있으며, 이를 이용하여 구조물과 내용물에 대해 피해액을 추정할 수 있다(Choi et al., 2006a; Choi et al., 2006b; Yi et al., 2010). 그러나, 단독주택, 아파트, 연립주택 등 주택 이외 다른 용도의 건물에 대해서는 손상함수가 없어 우리나라 여건에 맞는 공공건물에 대한 손상함수 개발이 필요한 상황이다. 본 연구에서는 실제 피해지역의 자료들을 토대로 공공건물 용도별 침수심별 손상함수를 개발하고 적용하였다. 공공건물에 대한 손상함수 개발을 위해서는 많은 피해자료의 수집이 필요하나, 실제 공공건물의 경우 다양한 건물유형으로 인하여 유형별 침수사례가 많지 않은 상황이다. 이로 인하여 현장조사에 의한 침수현황 조사는 한계가 있기 때문에 보험가입자에게 사고로 인하여 손해가 발생했을 때 그 손해액을 결정하고 보험금을 산정하는 업무를 수행하는 손해사정사들을 통해 여러 가지 공공건물을 대상으로 침수심별 손상률에 대한 설문 조사를 실시하였다. 본 연구를 통해 공공건물에 대한 손상함수의 개발절차, 침수심별 손상함수의 개발결과, 보완과정 그리고 손상함수의 적용결과에 대한 국내외 기법과의 비교 결과를 제시하였다. 적용결과 본 연구에서 현장 조사 기반으로 개발한 손상률을 적용한 경우 국내 실제 피해액을 가장 잘 반영하는 것으로 분석되었는데, 다만 동일 건물용도(예컨대 공공업무시설)일지라도 바닥재 등 마감재 재질이 건물마다 다르며, 건물별로 공간 활용 여건이 다양하여 동일한 침수심에 대해서 피해액의 변동폭이 크게 발생 되어 동일한 침수심에 대한 피해내용이 달라져 변동폭이 크게 발생되는 한계가 발생하였다. 향후 보다 많은 피해사례를 지속적으로 조사할 필요가 있으며, 이를 통해 손상함수를 개선하기 위한 연구가 계속 진행되어야 할 것이다.

• Journal of Korea Port Economic Association
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• v.36 no.4
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• pp.107-120
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• 2020

This study analyzed the competitiveness of major export industries following the FTA between Korea and five Central American countries. Findings revealed that Korea mainly exports industrial products such as ships, automobiles and parts, steel, and electronic devices, and it imports raw materials and agricultural products such as coffee and copper, indicating a complementary trade structure. Similarly, the trade specialization index analysis revealed that Korea specialized in exporting industrial products such as ships, automobiles, steel, and machinery, and in importing primary products such as copper and coffee. Products such as ships, steel, and machinery, which are major export items to Central America, are expected to further strengthen their competitiveness due to tariff cuts. In addition, it is expected that the demand for medicines and medical supplies could increase in future due to the COVID-19 pandemic. This study attempted to present implications for establishing export strategies by analyzing the competitiveness of Korea's major export industries in the Central American market, in accordance with the Korean-Central American FTA. These findings could be used as basic data for future entry into South America as a bridgehead in the Central American market.

• The Korean Journal of Archival Studies
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• no.69
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• pp.153-187
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• 2021

Narrative runs through the entire human life. 'Narrative' is a means of understanding and experiencing human life. The past, the present and the future are not disconnected. The past is open to the future. The future defines the meaning of the past, and the past rreturn as the horizon of life. Past, present and future temporality functions as a Narrative. Records reproduce the past time as Narrative, and recount the past according to reading behavior. Reality and records complement each other with a cyclic and dialectic structure. This paper examines the relationship between reality and records. This paper applies Paul Ricoeur's Hermeneutics to records as a tool to examine the relationship between reality and record. We want to look at how records interpret and relates to reality, and how social justice of collective memory should be should be achieved against them.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.17-24
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• 2018

This study attempted to analyze technology convergence structure and key technology research sectors in bio-health. For this, network analysis was performed based on the patent outcomes achieved through national R&Ds. Then, a patent network was analyzed to derive problems and collect data from the National Science & Technology Information Service. With the five groups obtained through the analysis of IPC network and national R&D patents in bio-health based on a research frame network, topics were chosen based on the bio-healthcare technology system. Then, the technology with the greatest ripple effects was derived and compared to other sectors, suggesting a direction for national R&D investments. It is anticipated that this study would make a contribution to a search for R&D investment direction by additionally analyzing overseas patent data and improving correlation analysis between technology convergence and government-led R&D expenses.

• Cross-Cultural Studies
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• v.40
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• pp.133-158
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• 2015

This study aims to analyse the conversation structure on Talking Culture("說漢語 淡文化") that is one of the conversation textbooks about Chinese culture and investigate Chinese textbooks published in Korea and Japan from a integration point of view among language, literature and culture for improving upon the problems on Talking Culture. For this purpose, this study, before analysing and investigating, considered the concept of language socialization on learning Chinese as a foreign language, and on the basis of it, analysed the conversation structure of Talking Culture. And then this study examined how we should organize the structures and contents when making conversations in Chinese textbook related with culture in compared with the Chinese textbooks published in Korea and Japan. In conclusion, this study argues that when composing a conversation textbook with culture, we not only need to pay attention not to have an inclination for conversation structure, but need to make use of the contents in Chinese literary and culture works for organizing conversations from the perspective of integration among language, literature and culture.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.213-225
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• 2018

For constructing three-dimensional (3D) spatial information occlusion region problem arises in the process of taking the texture of the building. In order to solve this problem, it is necessary to investigate the automation method to automatically recognize the occlusion region, issue it, and automatically complement the texture. In fact there are occasions when it is possible to generate a very large number of structures and occlusion, so alternatives to overcome are being considered. In this study, we attempt to apply an approach to automatically create an occlusion region based on learning by patterning the blocked region using the recently emerging deep learning algorithm. Experiment to see the performance automatic detection of people, banners, vehicles, and traffic lights that cause occlusion in building walls using two advanced algorithms of Convolutional Neural Network (CNN) technique, Faster Region-based Convolutional Neural Network (R-CNN) and Mask R-CNN. And the results of the automatic detection by learning the banners in the pre-learned model of the Mask R-CNN method were found to be excellent.