• The Korean Journal of Archival Studies
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• no.52
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• pp.315-342
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• 2017

Language is an important medium for communication among the members of society and a mirror that reflects society as a whole. As society and culture change and develop over centuries, language follows suit. To keep up with the changes in the new era and express new concepts, countless new neologisms continue to appear. Recently, the use of neologisms is getting increasingly focused on social networking service and other Internet communication sites, which then spread rapidly through various media. If you look at the popular neologisms on the Internet, it implicitly reflects conflicts between the eras and the generations, people's psychology and ideology, and social phenomena such as culture. The function of neologisms is not solely for the entertainment element of communication but also for criticizing social problems and their vital use as a search keyword. This study focuses on the meaning and importance of gathering information and analyzing records about neologisms that reflect the social phenomenon in a certain period, and this will be labeled as "neologism archiving." This study proposes a direction for the construction of a neologism archive by comparing the currently existing neologism archiving system with the existing dictionary concept. In addition, this study serves as a reminder of the convenience and the contemporary social phenomena, such as smooth communication between generations, and the dissemination of inequality of information sharing. Lastly, this study aims to support experts with their research on neologisms for the social phenomenon.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.375-375
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• 2020

우리나라는 현재 개발되어 적용되고 있는 홍수피해잠재능(Potential Flood Damage, PFD) 산정방법은 잠재성요소(인구, 자산, 사회기반시설, 도시화율)와 위험성요소(홍수피해액, 확률강우량, 외수방어능력, 댐 및 저수지, 내수방어능력)로 산정 후 지역평가를 통해 그룹(A,B,C,D)별로 평가하고 있다. 하지만, 홍수피해잠재능(PFD) 산정인자가 많아 자료조사 및 구축에 많은 시간이 소요 되며, 인자별 다양한 공간적 범위로 인해 실무 적용에 어려움이 있다. 또한, 소구역 단위 평가로 인해 하천의 침투 특성을 반영하지 못하여 하천 주변의 중요도 평가가 미흡한 실정이다. 이를 위해 본 연구에서는 중요도 분석 인자 단순화를 통해 자료 조사 및 구축 시간 단축과 더블어 위험성요소를 내포하는 홍수위험지도 사용을 통해 작업을 간소화하고, 하천 주변까지 고려하여 중요도 평가하는데 목적이 있다. 본 연구에서는 낙동강권역을 대상으로 홍수위험지도 및 중요도 분석 인자(인구, 자산(공시지가), 시회기반시설(도로,철도), 도시화율(시가화지역)) 공간정보를 구축하였고, 점수할당법에 의한 인자별 중요도 분석 및 상관성 분석을 통해 피해우선순위를 분석하였다. 분석결과, 인구·자산(공시지가) 인자가 높은 구역이 대체로 사회기반시설 연장 및 도시화 면적이 높게 나타났으며, 하천의 치수단위 구역별 중요도 분석시 인구·자산(공시지가) 두가지의 인자로도 치수안전도 결정에 활용이 가능할 것으로 판단된다.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1101-1112
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• 2004

In this paper, we propose a Web page weighting scheme using the user preference in each sense of query word to improve the performance of Web search. Generally search engines assign weights to a web page by using relevancy only, which is obtained by comparing the query word and the words in a web page. In the information retrieval from huge data such as the Web, simple word comparison cannot distinguish important documents because there exist too many documents with similar relevancy In this paper we implement a WordNet-based user interface that helps to distinguish different senses of query word, and constructed a search engine in which the implicit evaluations by multiple users are reflected in ranking by accumulating the number of clicks. In accumulating click counts, they are stored separately according to senses, so that more accurate search is possible. The experimental results with several keywords show that the precision of proposed system is improved compared to conventional search engines.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.5
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• pp.1-15
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• 2001

Expressing complex query conditions in a concise and intuitive way has been a challenge in the design of visual object-oriented query languages. We propose a visual query language called VOQL (Visual Object oriented Query Language) for object oriented databases. By employing the visual notation of graph and Venn diagram, the database schema and the advanced features of object oriented queries such as multi-valued path expressions and quantifiers can be represented in a simple way. VOQL has such good features as simple and intuitive syntax, well-defined semantics, and excellent expressive power of object-oriented queries compared with previous visual object-oriented query languages.

• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.477-497
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• 2008

Mood classification of blog text is an interesting problem, with a potential for a variety of services involving the Web. This paper introduces an approach to mood classification enhancements through the normalized negation n-grams which contain mood clues and corpus-specific term weighting(CSTW). We've done experiments on blog texts with two different classification methods: Enhanced Mood Flow Analysis(EMFA) and Support Vector Machine based Mood Classification(SVMMC). It proves that the normalized negation n-gram method is quite effective in dealing with negations and gave gradual improvements in mood classification with EMF A. From the selection of CSTW, we noticed that the appropriate weighting scheme is important for supporting adequate levels of mood classification performance because it outperforms the result of TF*IDF and TF.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.443-452
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• 2017

VR and AR technologies are recognized as one of important technologies during 4th Industrial Revolution Era. Also, the market size of VR/AR are anticipated to grow up to $150 billion by 2020. These technologies are used in theme parks as well as in other industries including games and films. The purpose of this study is to recognize the trend of VR/AR application in theme park attractions and recommend optimal ways for the future applications. The trends were studied from number of publications while future model was developed after visiting theme parks and interviewing the industry experts. As a result, number of theme parks and LBCs(Location Based Center) are using VR/AR in many of their attractions already, but still holds a number of issues. These issues could be overcome if Fun, Efficiency and Technology are considered holistic ways in the future. Further, conformity of the technologies and theme park concept should also be examined.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3819-3828
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• 2015

The present study discusses some of important issues in the word recognition such as the roles of the form(orthographic & phonologic) and semantic information by investigating the processes of Korean heteronym. The priming paradigm has been applied to see whether or not there would be facilitatory effect from form and/or semantic information. In experiment 1, orthographically-related or phonologically-related prime stimuli were presented and a lexical decision task for Korean heteronym was conducted. The same procedure was applied for the experiment 2, except the prime stimulus which was semantically-related. The results showed that orthographic and phonologic information did not influence the processing of the heteronym while semantic information facilitated its processing, suggesting that the semantic information plays an important role in the processes of the Korean heteronym.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.155-162
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• 2006

The medical thesaurus, MeSH (Medical Subject Heading), has been used as a controlled vocabulary thesaurus for English medical paper indexing for a long time. In this paper, we propose an automatic cross language keyword assignment method, which assigns English MeSH index terms to the abstract of a Korean medical paper. We compare the performance with the indexing performance of human indexers and the authors. The procedure of index term assignment is that first extracting Korean MeSH terms from text, changing these terms into the corresponding English MeSH terms, and calculating the importance of the terms to find the highest rank terms as the keywords. For the process, an effective method to solve spacing variants problem is proposed. Experiment showed that the method solved the spacing variant problem and reduced the thesaurus space by about 42%. And the experiment also showed that the performance of automatic keyword assignment is much less than that of human indexers but is as good as that of authors.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.57-66
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• 2003

We propose a technique to extract a relevant passage from text collection based on field-associated terms since they tries to concentrate relevant text to users query. Documents are supposed to be managed as a whole without any segmentation into small pieces, but the method presented is independent upon any text-embedded auxiliary information, and is based on topic continuity and transition. For users needs-relative sentences or passages, we present a passage retrieval techniques by using occurrence frequency of a field-associated term to delimit text, that is likely to be relevant to a particular topic, considering continuity and transition within topic flowing in text. We evaluate 50 Japanese documents and verify the usefulness with 82% for average precision and 63% for recall.

• Journal of Aerospace System Engineering
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• v.13 no.4
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• pp.50-59
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• 2019

The design of the main control valve, which is the main component of the flap control system, was based on actual manufacturing experience on the basis of trial and error method. In this paper, a model-based part design method is proosed. The flap control system consists of a main control valve, fail-safe valve, solenoid valve, LVDT and force motor. The main control valve consists mainly of a spool and slot. The important design parameters of the main control valve are the slot width, overlap and clearance. AMESim is linked to the model and it analyzes the flow path of the main control valve. Applying the proposed design procedure, it was confirmed that the required performance was satisfied within the allowable machining error range.