• 한국실내디자인학회논문집
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• 제24권2호
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• pp.134-141
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• 2015

Brand space is one of the important elements of urban cultural space and can stimulate the urban culture as a significant landmark. Thus, it is necessary to develop factors for evaluating the communication with users in brand spaces. In particular, factors for evaluating the psychological, emotional aspects of users is essential. This study is aimed at developing evaluation factors with a space marketing perspective through an user behavioral analysis. As for research method, the emotional responses of users will be examined and analyzed through an eye-tracking device. First, The researcher will visit brand spaces and take photos of them to collect data and analyze the status. Second, we filled out the questionnaire based on analytical framework and selected 20 architectural students for survey. Third, Eye-tracking experiment will be conducted. Forth, Space design marketing evaluation factors will be established based on the results. Final, suggestions for future research based on the analysis results. When the 30 images of premium supermarkets were used for the survey, men were more sensitive to the store design. But women were more sensitive to the quality or store accessibility. Also, the furniture factor was most important for women, and spatial factor was most important for men. When the eye-tracking experiment was done as to the 5 selected brand spaces, both men and women looked at the furniture factor that includes the showcases more than anything else. It shows the same result as the previous survey.

• 정보관리학회지
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• 제29권1호
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• pp.395-404
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• 2012

도서관의 관종 구분은 도서관의 개념에 대한 이해 및 도서관 경영실무에서 각 도서관의 역할, 임무, 사명 및 업무 수행의 틀을 제공하는 데에 의의가 있다. 역사적으로 공공, 대학, 학교, 전문으로의 관종의 사구분법이 가장 일반적이나, 각 관종의 정의는 귀납적이고 열거적으로 내려져, 관종간 구분의 명확성이 떨어지고, 새로운 환경에서의 관종구분 적용을 곤란하게 하는 단점이 있다. 본 개념적 논문에서는 정보요구의 특성을 이용하여 도서관 관종의 사구분법에 대한 연역적인 기준을 제시한다. 또한 제시된 기준에 의한 사구분법의 도서관경영에 있어서의 의미를 제시하고, 특히 이해관계자(stakeholders)의 존재 및 도서관경영에 있어서의 영향을 논의한다. 추가로, 본 논문은 도서관 실무와 정보학영역을 개념적으로 연결하여 문헌정보학 내의 세부영역간 관련성을 강화하는 시도로서도 그 의미를 가진다.

• 한국의상디자인학회지
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• 제4권2호
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• pp.5-29
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• 2002

This study was to analyze the social identity described in the dress of the American novelist Pearl S. Buck's (1892-1973) major works. A novelist pursues varying and refined expressions in an effort to convey to readers the character' identities of his or her own creation. In particular, Pearl S, Buck was a great writer who was awarded the Novel Literature Prize, and since her work The Good Earth recorded a world-wide bestseller, she might well be called a popular novelist. She depicted well her characters' identities from divers viewpoints with her unique delicacy and realistic expressions. For this study, the following seven works which are considered to feature the dresses for character's identity well were selected out of her 85 works: The Good Earth (1931), Sons(1932), The Mother (1934), A Housed Divided (1935), The Hidden Flower (1952), Love and the Morning Calm (1953) and Letter from Peking (1957). For an analytical tool, the content analysis method was used. In order to systematically review the social identity described in the dress individuals' identity were classified into the following categories based on the identity theories: Social identity were divided into ① age identity ② sex, gender identity ③ economic identity ④ occupational identity ⑤ political identity ⑥ religious identity ⑦ kinship identity ⑧ regional identity. The characters' age identity, sex, gender identity, economic identity, occupational identity, political identity, religious identity, kinship identity, regional identity were depicted by their dresses and physical features. All in all, it is hoped that this study would provided important cues to the understanding of the other party's identity through his or her dresses in mutual relationship: It is believed that this study would be useful because they are arranged through the analysis of the dresses featured in the great writer's works using a consistent framework of analysis.

• 농촌계획
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• 제19권4호
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• pp.33-46
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• 2013

The present study aims to provide an analytical framework for achieving aid and development effectiveness of agricultural cooperation with a demand-oriented perspective. This paper pays particular attention to categorize the stages of agricultural development of African recipients to identify demands for agricultural aid of the categorized groups. To do so, first of all, it establishes theoretical background to apply the demand-oriented concept and utilize the phase of agricultural development as an alternative for aid and development effectiveness. On the basis of the theoretical robustness, it conducts a series of analyses to categorize the African recipients by the development stages, incorporating factor analysis, cluster analysis and comparison between the present-future agricultural development levels. The findings propose analysis indicators for phase of agricultural development and clustered results including 18 countries of KAFACI members and priority countries in Africa. In addition to the practical application of the results, the methodological flow can be used as steps for sketching a future roadmap to construct the demand-oriented ODA(Official Development Assistance) plan. This paper also offers implications regarding ODA strategy of Korea in response to the phase of agricultural development and the aid demands.

• 대한교통학회지
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• 제33권4호
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• pp.417-429
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• 2015

본 연구에서는 고속도로에서 수집되는 차량검지기 자료를 대상으로 자료의 품질에 영향을 미치는 요인을 분석하여, 신뢰성 있는 교통자료의 관리 및 활용을 위한 교통자료 품질 통합평가지표를 개발하였다. 이를 위하여 국내외 자료품질평가에 대한 현황 조사 및 분석을 수행하여 시사점을 도출하였다. 품질관리지표는 기존의 고속도로 검지자료 품질평가에 사용되고 있는 평가지표인 완전성과 유효성뿐만 아니라, 이를 수정 보완한 지표들을 제시하였으며, 교통자료의 특성을 반영한 시공간 일관성 지표와 결측심각성 지표를 신규지표로 제시하였다. 또한, 개별 품질 평가지표들을 통합적으로 관리할 수 있는 통합 평가지표를 개발하고 평가 프레임워크를 제시하였다. 통합 품질평가지표는 쌍대비교를 통한 설문조사 방법으로 가중치를 산출하는 AHP기법과 자료의 변동성을 고려하여 가중치를 산출하는 엔트로피방법을 통합하는 혼합가중치 산출 방안을 적용하여 도출하였다. 본 연구의 결과물은 교통자료의 효율적 관리를 가능하게 하고, 교통자료의 품질을 높일 수 있는 품질관리체계의 중요 구성요소로 활용될 것으로 기대된다.

• 한국문헌정보학회지
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• 제43권2호
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• pp.277-298
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• 2009

한국학술진흥재단 기초학문자료센터(Korean Research Memory: KRM)의 기 구축된 인문사회 학술용어는 각 용어 및 연구 성과물간에 성립하는 의미관계의 분석을 통해 수요에 적합한 정보를 보다 효율적으로 탐색 활용할 수 있도록 연구성과물 메타데이터의 유기적 연동이 요구되었다. 본 연구에서는 첫째, 연구성과물의 핵심적 개념을 표현하는 주제 색인어로 구성된 인문사회 학술용어 온톨로지를 기반으로 각 해당 연구성과물 지식구조를 표현하는 개념모델를 정의하고, 둘째, 연구성과물 간에 성립하는 의미관계 정의를 통해, 연구성과물에 대응하는 연구자 정보수요를 분석하여 이에 맞춘 정보 탐색서비스 모델을 설계하였다. 셋째, 학술용어 온톨로지 및 연구성과물 DB의 유기적 연계통합 운영을 위한 기술적이고 관리적 체계 수립방안을 제시하였다.

• 한국산학기술학회논문지
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• 제14권6호
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• pp.2707-2716
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• 2013

본 연구는 다양한 형태의 조직들에서 IT 거버넌스와 관련된 통제에 대해 조직원들의 개인기기 사용 확산에 따른 반발 심리의 분석에 초점을 둔다. 이를 위해 IT 거버넌스 통제와 관련된 선행 연구, 조직원의 반발 심리에 대한 척도 및 기대이론을 바탕으로 연구 모형을 구성하였다. Hong의 심리적 반발 척도, 기대이론의 보상 정도, 조직에서의 직급이나 조직 규모에 따라 조직원들의 IT 통제에 대한 반발요인과 태도의 통계적 유의성을 검증할 수 있었다. 이를 통해 IT 거버넌스를 통한 경영목표 달성을 위한 통제와 조직원 반발요인에 대한 체계적 분석을 통한 분석 틀을 제시하고 실무적으로도 조직의 IT 거버넌스 통제에 대한 시사점을 얻을 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권6호
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• pp.1098-1115
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• 2010

An inseparable challenge associated with every random access network is the design of an efficient Collision Resolution Algorithm (CRA), since collisions cannot be completely avoided in such network. To maximize the collision resolution efficiency of a popular CRA, namely Binary Exponential Backoff (BEB), we propose a reactive backoff algorithm. The proposed backoff algorithm is reactive in the sense that it updates the contention window based on the previously selected backoff value in the failed contention stage to avoid a typical type of collision, referred as cross-collision. Cross-collision would occur if the contention slot pointed by the currently selected backoff value appeared to be present in the overlapped portion of the adjacent (the previous and the current) windows. The proposed reactive algorithm contributes to significant performance improvements in the network since it offers a supplementary feature of Cross Collision Exclusion (XCE) and also retains the legacy collision mitigation features. We formulate a Markovian model to emulate the characteristics of the proposed algorithm. Based on the solution of the model, we then estimate the throughput and delay performances of WLAN following the signaling mechanisms of the Distributed Coordination Function (DCF) considering IEEE 802.11b system parameters. We validate the accuracy of the analytical performance estimation framework by comparing the analytically obtained results with the results that we obtain from the simulation experiments performed in ns-2. Through the rigorous analysis, based on the validated model, we show that the proposed reactive cross collision exclusionary backoff algorithm significantly enhances the throughput and reduces the average packet delay in the network.

• 한국시스템다이내믹스연구
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• 제14권3호
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• pp.25-49
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• 2013

As global competition for green car, that is environmentally friendly car, is getting tougher, the governments and the related industries are putting their core efforts in its diffusion. However, the green car sales are disappointing so far. To overcome the gridlock, it is necessary to develop concrete analytical framework to understand the diffusion process. Based on causal loop analysis from the previous work, we have identified main variables and relationships of them in the diffusion process and developed a stock-flow diagram and mathematical formula for the main components. The model would be applied for further quantitative simulation on the diffusion process of green car and other innovative goods as well. Also, we have suggested constructive insights for the policy makers and for the related industries. First, it is important to increase consumers' willingness to consider through marketing and word of mouth to accelerate the diffusion process. Second, in the perspective of the industry, the market share of green car should be increased at the earliest possible stage and this could be done by enhancing each components of green car attractiveness(e.g. price, driving range, social infra). Third, companies should develop a balanced investment between consumer and technology sector through a flexible financial policy. Fourth, the government continuously has the role of investing in the related R&D and social infra building. We expect the green car diffusion model and related formula from the research can provide meaningful tools to analyze the diffusion process of other new and innovative goods based on its deep researched literature review.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1963-1978
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• 2015

With the advancement of mobile web environments, identification and analysis of the user behavior play a significant role and remains a challenging task to implement with variations observed in the model. This paper presents an efficient method for mining optimized user behavior prediction model using genetic algorithm on mobile web structure. The framework of optimized user behavior prediction model integrates the temporary and permanent register information and is stored immediately in the form of integrated logs which have higher precision and minimize the time for determining user behavior. Then by applying the temporal characteristics, suitable time interval table is obtained by segmenting the logs. The suitable time interval table that split the huge data logs is obtained using genetic algorithm. Existing cluster based temporal mobile sequential arrangement provide efficiency without bringing down the accuracy but compromise precision during the prediction of user behavior. To efficiently discover the mobile users' behavior, prediction model is associated with region and requested services, a method called optimized user behavior Prediction Model using Genetic Algorithm (PM-GA) on mobile web structure is introduced. This paper also provides a technique called MAA during the increase in the number of models related to the region and requested services are observed. Based on our analysis, we content that PM-GA provides improved performance in terms of precision, number of mobile models generated, execution time and increasing the prediction accuracy. Experiments are conducted with different parameter on real dataset in mobile web environment. Analytical and empirical result offers an efficient and effective mining and prediction of user behavior prediction model on mobile web structure.