• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.50-59
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• 2007

This paper describes a question analysis and expansion based on semantics for on efficient information retrieval. Results of all information retrieval systems include many non-relevant documents because the index cannot naturally reflect the contents of documents and because queries used in information retrieval systems cannot represent enough information in user's question. To solve this problem, we analyze user's question semantically, determine the answer type, and extract semantic features. And then we expand user's question using them and syntactic structures which are used to represent the answer. Our similarity is to rank documents which include expanded queries in high position. Especially, we found that an efficient document retrieval is possible by a question analysis and expansion based on semantics on natural language questions which are comparatively short but fully expressing the information demand of users.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1214-1218
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• 2010

As a study on activities associated with sleeping, this paper is aimed to trace a behavior log by differentiating human behavior patterns. Toward this research purpose, we define a behavior log and a simplified feature vector about human behavior patterns associated with sleeping. Then, based on thresholds of the feature vector, we did experiments applying the individual-base behavior pattern decision algorithm to human behavior patterns. The important results derived from these experiments indicate that the proposed approach reflecting individual behavioral characteristics is more useful than the existing single group approach.

• Journal of Korean Society of Transportation
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• v.29 no.6
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• pp.67-74
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• 2011

This study deals with the traffic accidents data from the Korean rotaries (circular intersections) to verify their characteristics affected by different vehicle types. This paper categorized the data into three groups based on vehicle types, and developed a set of accident models. The paper proposed two ZIP models and one negative binomial model through a statistical analysis for three vehicle types: automobile, truck and van, and others. The differences among those models were then statistically compared.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.585-594
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• 2013

In this study, we studied methods of communication among audiences, artwork and artist and analyzed interactive media art using the nonverbal communication methods. We analyzed the 4 types of nonverbal communication based on sign and meaning[1] and reclassified suitably for analysis of interactive media art. According to the analysis result, we draw typical characters by analyzing interactive media artwork which were corresponding to the each types. Also we analyzed overlap area and classify. Through these processes, we found communication methods in interactive media artwork connect audiences and artwork by organic combination of several nonverbal communication. In this paper, we suggest a new approach about the communication among audiences, artwork and artist through analyzing interactive media art using nonverbal communication.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.95-115
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• 2001

We propose classifying the venture firms into four types of knowledge management. For this purpose, we collected questionnaire data from 101 venture firms listed in KOSDAQ, and applied a unsupervised neural network algorithm SOM to obtain four clusters representing knowledge management types-High Tech Type, Organizational Knowledge Type, Information Technology Type, and Beginner Type. Based on the results, we conclude that the venture firms listed in KOSDAQ should first know its own knowledge management type, and then apply appropriate strategies to take advantage of the knowledge management impacts on the competitiveness.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.792-802
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• 2003

Earlier program plagiarism check systems are performed by using simple text, attribute or token string base on match techniques. They have difficulties in checking program styles which have nothing to do with program syntax such as indentation, spacing and comments. This paper introduces a plagiarism check model which compares syntax-trees for the given programs. By using syntax-trees, this system can overcome the weekness of filtering program styles and have advantage of comparing the structure of programs by syntax and semantic analysis. Our study introduces syntactic tree creation, unparsing and similarity check algorithms about C/C++ program plagiarism checking for internet cyber education and estimate plagiarism pattern.

• Annual Conference on Human and Language Technology
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• 1998.10c
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• pp.304-315
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• 1998

정보 검색 시스템에서 가장 문제가 되는 어휘 클라스는 소위 '고유 명사'와 '합성 명사'로 분류되는 명사 유형이다. 이들 클라스는, 기존 대사전 및 전자 사전 (MRD)류에서, 그 어휘 목록을 체계적으로 제공하지 못하는 가장 대표적인 부류들인데, 실제 검색 시스템에서는 많은 경우 정보의 핵심어 (Key Word)가 된다. 본 연구에서는 신문, 잡지등 시사 문서류에서 가장 빈번히 발견되는 명사 유형의 하나인, '인명 관련 고유 명사' 유형에 대한 문제에 그 논의의 촛점을 두고, 이들 명사들의 체계적인 처리를 위해서 어떠한 형태로 사전을 구성해야 하는지를 검토할 것이다. '고유 명사'라는 개념 자체가 지니고 있는 외연적 정의상의 문제점을 극복하기 위해서 우리는 '백과 명사 (Encyclopedic Noun)'라는 용어를 사용하기로 하며, 이는 좁은 의미의 고유 명사 및, 전문어, 고유 명사 관련 파생-복합어류 등을 포함하는, 보다 확장된 개념으로 이해되어야 한다. <인명> 관련 백과 명사류의 하위 유형 분류 및 그 특징적 결합어 형태(Appropriate Particle)에 대한 연구 결과들이 소개된다.

• Journal of Educational Research in Mathematics
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• v.27 no.2
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• pp.191-205
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• 2017

The purpose of this study is to investigate the types and characteristics of the Seventh Graders' proofs. Harel, & Sowder's proof schemes were used to analyze the subjects' responses. As a result of the study, there was a difference in the type of proof schemes used by the students depending on the academic achievement level. While the proportion of students using a transformative proof scheme decreased from the top to the bottom, the proportion of students using inductive (measure) proof scheme increased. In addition, features of each type of proof schemes were shown, such as using informal codes in the proof process, and dividing a given picture into a specific ratio in the problem. Based on this, we extracted four meaningful conclusions and discussed implications for proof teaching and learning.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.600-607
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• 2018

This study is designed to examine the effects of transformational and transactional leadership on organizational commitment. A survey questionnaire is used to gather the data while judgement sampling was utilized to choose the respondents. The results from the study indicate that transformational leadership is found to positively affect emotional and normative commitment respectively. Using multiple regression, it is also found continuance commitment is not related to transformational and transactional leadership. The study partially supports the model that perceived leadership affects organizational commitment. It is proposed that transactional leadership appears to be a more useful predictor of organizational commitment. Given the findings of this study, firms are provided with insights into how transformational and transactional leadership may contribute to managing workers' organizational commitment.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.406-406
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• 2023

자연재난은 각각의 유형별로 발생 특성이 다양하고, 피해 유형도 상이하기에 재난 발생 시 재난 특성에 따른 최적 자원의 비축 및 동원이 필요하다. 하지만, 재난관리자원은 종류가 다양하고 요구 비축량이 많으며, 재난유형별로 발생특성이 다양하고 피해유형도 상이하기 때문에 모든 자원을 비축하고 활용하기에는 어려움이 따른다. 따라서 재난특성에 맞는 필요 자원의 비축을 통한 효율적인 재난관리자원 운영 및 관리체계 마련이 필요하다. 특히, 침수관련 재난(호우, 태풍, 풍랑)의 경우 과거 20년(2001년~2020년)동안 발생 건수는 282건으로 같은 기간 발생한 413건의 자연재난 중 68%를 차지할 만큼 침수 대응에 따른 필요 자원의 분석이 필요하지만, 관련 자원의 운영현황 및 발생한 문제점에 대한 분석은 미흡한 실정이다. 이에 본 연구에서는 과거 20년(2001년~2020년)동안 발생한 침수관련 재난(호우, 태풍, 풍랑)발생 시 동원된 재난관리자원 사례를 분석하였다. 재해연보, 관련 백서 및 보고서 등의 수집 및 분석을 통해 침수 발생 시 동원된 장비, 자재를 분석하였으며, 자원동원 시 발생하는 문제점을 자원비축, 자원능력, 자원활용, 대응시간으로 구분할 수 있었다. 본 연구는 과거 발생한 침수관련 재난에 대하여 재난관리자원의 동원 사례와 시사점 및 문제점을 도출한 점에서 그 의미가 있으며, 향후 침수 관련 재난 발생 시 자원의 효율적인 비축 및 관리, 동원 및 응원 등 효율적 운영방안 수립에 활용할 수 있을 것으로 기대된다.