• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.379-381
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• 2004

소프트웨어 아키텍처는 소프트웨어 시스템의 중요한 요소를 정의하고 이들 요소간의 상호관계를 나타낸 전체 시스템의 기본 구조이다. 시스템의 변경과 확장에 용이하고 시스템의 상호 연동성을 확보하는데 있어 아키텍처 기반의 기술 접근은 필수적인 요소이다. 이러한 소프트웨어 아키텍처를 명가하기 위한 다양한 방법들이 제시되고 있으며, 이 방법들은 비즈니스요구를 반영하고 품질속성에 따른 시나리오를 만들어 그것을 기반으로 소프트웨어 아키텍처를 평가하게 된다. 이에 본 논문에서는 ISO9126에서 제시한 소프트웨어의 품질을 기반으로 아키텍처 평가에 적용되어질 품질속성을 도출하기 위하여, 웹기반 전자상거래시스템인 B2C에서의 사용자요구사항을 분석 해 보고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.300-303
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• 2018

최근, 불균일 기억 장치 접근 (NUMA) 구조가 부각됨에 따라 NUMA 구조 기반의 관계 연산 기법들이 제안되고 있다. 본 논문에서는 NUMA 구조 기반의 효율적인 해시 조인 기법을 제안한다. NUMA 구조에서 조인 속성 값의 분포가 편중된 릴레이션들 간의 조인은 NUMA 노드들 간의 부하 불균형과 과도한 원격 메모리 접근을 발생시킬 수 있다. 제안 기법에서는 근사 히스토그램을 이용하여 조인 속성 값의 분포를 파악하고, 이를 기반으로 원격 메모리 접근을 줄이는 전달 방안을 제안한다. 실험에서는 입력 릴레이션들에 대해 조인 속성 값의 분포를 변화시키면서 제안 기법에 대한 성능을 평가한다.

• Culinary science and hospitality research
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• v.22 no.3
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• pp.33-43
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• 2016

This study examined the factors that affect the relationship between consumption value, bakery select properties and satisfaction. A total of 320 questionnaires were distributed to consumers, of which 300 were deemed suitable for analysis after the removal of 20 unusable responses. In order to perform required statistical analyses in the study, the SPSS 18.0 Statistical Program was used for frequency analysis, factor analysis, reliability analysis, correlations, and regression analysis. The results of exploratory factor analysis showed that four factors regarding consumption value were extracted from all measurements with a KMO of 0.841 and a total cumulative variance of 72.937%, With regard to bakery select property, one factor was extracted with a total cumulative variance of 64.917% and a KMO score of 0.756. One factor for satisfaction was extracted that accounted for a total cumulative variance of 76.944% and a KMO score of 0.719. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationship between consumption value, bakery select property and satisfaction was partially adopted.

• Management & Information Systems Review
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• v.36 no.1
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• pp.95-114
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• 2017

The purpose of this study is to search information attributes suitable for SNS and to identify the influence of individuals or groups who contribute to the creation and diffusion of information in the SNS. The researchers extracted the accuracy, two-sided information, novelty, diversity, and experiential factors that influence the acceptance and diffusion of information in the SNS, and identified the relationships among the variables, the usefulness of information and the degree of information diffusion intention. And researchers studied market maven who play the key role in creating and diffusing SNS information. A total of 600 questionnaires were collected and 549 questionnaires were used to test the research hypothesis. The results of the study are as follows. Consumers considered information, which had accuracy, two-sided, and experiential attributes, as useful. But novelty or diversity information were regarded as unuseful because of motive to avoid ambiguity. In the Market Maven Group who have the ability to acquire and edit SNS information, however, there were weak or negative causality between experience and accuracy and information usability factors. but positive causality between novelty and diversity factors of information and usability.

• Culinary science and hospitality research
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• v.22 no.5
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• pp.25-36
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• 2016

This study examined the factors that affect the relationship between single-person households, food related life style, restaurant selection attributes, and behavioral intention. In order to perform statistical analyses required in the study, SPSS 18.0 Statistical Program was employed for frequency analysis, factor analysis, reliability analysis, correlations, and regression analysis. The results of exploratory factor analysis showed that four factors regarding food related life style were extracted from all measurements with a KMO of 0.716 and a total cumulative variance of 64.437%, With regard to restaurant selection attributes, one factor was extracted with a total cumulative variance of 75.372% and a KMO score of 0.739. One factor for behavioral intention was extracted that accounted for a total cumulative variance of 61.312% and a KMO score of 0.666. All factors were significant to .000 and the correlation between variables was significant. Thus, based on the results, the main research hypotheses regarding the relationships among food related life style restaurant selection attributes, and behavioral intention were adopted.

• Information Systems Review
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• v.22 no.2
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• pp.167-199
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• 2020

The ICT-based curation as a series of experiences with the mobile exhibition-guide applications or guide programs in art galleries helps visitors fully immersed in the exhibition and allows them to have more informative and convenient guide experience at art galleries. This study aims to verify how the factors of ICT-based curation affects the commitment and satisfaction of visitors at art galleries, figure out whether the visitors' commitment has effects on their satisfaction, and then finally test the impact of their commitment and satisfaction on their revisit intention. In order to validate the cause-and-effect relationships between these factors, the ICT-based curation in this paper is categorized into five factors - gamification, quality of image/video information, quality of sound/text information, contextual offer, and instant connectivity. The main results of the study are as follows. First, only the gamification has significantly positive effects on the commitment of art gallery visitors, while other two factors - the instant connectivity, and the quality of sound/text information - have significantly positive effects on the satisfaction of visitors. Second, the commitment of visitors also has significantly positive effects on their satisfaction. Third, the commitment of the visitors don't have significantly positive relationship with their intention of revisit, but the satisfaction of the visitors have significantly positive relationship with their intention of revisit.

• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.23-27
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• 2016

최근 학제간 연구에 대한 관심이 커지면서 자연스럽게 연구자들 간의 협력관계, 특히 학술적 협력관계에 대한 관심 역시 증가하고 있다. 이에 따라 공저 네트워크 자체의 속성에 대한 연구 뿐만 아니라 공저 분석 기법을 통해 특정 학문 분야의 지적 구조를 해석하려는 연구들이 꾸준히 진행되고 있다. 본 연구는 공저 네트워크 분석을 통해 국외 학제적 저널의 공저 현황과 소속기관 유형을 살펴보고 매개 중심성과 연결정도 중심성을 통해 학술지별 주요 소속기관과 저자들의 위치, 그리고 그들간의 협력 관계를 살펴보고자 하였다.

• Journal of the Korean Society for information Management
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• v.25 no.3
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• pp.209-230
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• 2008

This study is based on the practical use for distributed resources considering growing network rapidly. The focal point of this study will be argued on semantic interoperability for sharing of resources, not be emphasized the technical issues of network. The aim of this article is developing the model of Collection-Level Description(CLD) for sharing of resources. The present article consists of a definition of collection in relation to the scope, objectives, and agents of the collection and an analysis of researches about CLD strengths and standards. Lastly, it was intended to construct the model focused on relation which was needed to be strengthened the existing CLD's function, thus, this study attempted to use the concept of ontology. The model of CLD based on ontology suggested the description could represent new relations inferred between classes and properties. Distinguishing class and property, furthermore, this study suggested properties were separated the characteristic of class and the relation with classes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.755-762
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• 2022

This paper propose a clustered algorithm that possible more efficient COVID-19 disease learning prediction within clustering using context-aware attribute information. In typically, clustering of COVID-19 diseases provides to classify interrelationships within disease cluster information in the clustering process. The clustering data will be as a degrade factor if new or newly processing information during treated as contaminated factors in comparative interrelationships information. In this paper, we have shown the solving the problems and developed a clustering algorithm that can extracting disease correlation information in using K-means algorithm. According to their attributes from disease clusters using accumulated information and interrelationships clustering, the proposed algorithm analyzes the disease correlation clustering possible and centering points. The proposed algorithm showed improved adaptability to prediction accuracy of the classification management system in terms of learning as a group of multiple disease attribute information of COVID-19 through the applied simulation results.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.191-199
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• 2009

The integrated medical information system is an effective medical diagnosis assistance system which offers an environment in which medial images and diagnosis information can be shared. Because of the large-scale medical institutions and their cooperating organizations are operating the integrated medical information systems, they can share medical images and diagnosis information. However, this system can only stored and transmitted information without other functions. To resolve this problem and to enhance the efficiency of diagnostic activities, a medical image analysis system is necessary. In this paper, the proposed relationship method analyzes medical images for features generation. Under this method, the medical images have been segmented into several objects. The medical image features have been extracted from each segmented image. Then, extracted features were applied to the Relationship Method for medical image analysis. Several experimental results that show the effectiveness of the proposed method are also presented.