• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.93-109
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• 2013

This study extracted quality control factors for invigorating Institutional Repository operations, and re-extracted key quality control factors with significant influence among them. Furthermore, this study developed an operating model reflecting an improvement scheme of these key quality control factors, and estimated how much effective the operating model was to the user. As a result of inspecting satisfaction for IR operating model and the general system, it has been found that librarians' satisfaction for them is higher than that of the general user. Korea's universities prefer a proxy submission mode by librarians to a self-archiving submission mode by writers. Therefore, based on the operation model developed by this study, it is suggested that Institutional Repository operation can be actively invigorated with librarians of these universities as central players.

• Journal of Conservation Science
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• v.28 no.2
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• pp.113-118
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• 2012

Cultural heritages emit volatile organic compounds(VOCs) during degradation as chemical, biological factors. These VOCs in the atmosphere are degradation factors for another materials. But non-destructive organic analysis methods are uncommon, and have difficulties for field application. In this study, solid phase micro-extraction(SPME) and gas chromatography( GC) are carried out for analysis of VOCs which are emitted from leather, and prove SPME field holder's efficiency. I analize leather archival objects at The National Archives of Korea by cross-checking GC and SPME methods. It could be confirmed that the compounds are (E)-2-nonenal, butyl hydroxy toluene emitted itself from leather.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2004.04a
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• pp.245-250
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• 2004

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5534-5541
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• 2012

This paper classifies cities in the metropolitan area based on natural hazard vulnerability. The procedure of our empirical analysis is divided into three parts as follows: First, it summarizes variables related to natural hazard vulnerability to significant factors, carrying out principal component analysis. Second, it classifies cities in the metropolitan area, conducting cluster analysis using factor scores. Lastly, it proposes differential measures for natural hazard mitigation for classified cities in the metropolitan area, based on natural hazard vulnerability.

• Journal of Korean Library and Information Science Society
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• v.44 no.4
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• pp.71-92
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• 2013

The purpose of this study was to identify the service factors of university libraries which aim to improve the educational welfare of the disabled, and to develop an evaluation indicator to evaluate these vital service factors. To proceed with this study, guidelines of public library services for people with disabilities, and previous research and job description of academy library analysed and developed indicators suited for evaluating academic library services for people with disabilities. A pilot survey and main survey about the evaluation factors and indicators conducted with librarians who work for university libraries, and the questions were refined by exploratory factor analysis of the data collected from the survey. As a result, through the process of identifying reliability and validity, it turned out that the evaluation factor and subordinate index of university library services for the disabled consisted of 8 factors and 33 indicators.

• Journal of Korean Society of Transportation
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• v.23 no.1
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• pp.9-20
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• 2005

Accident type and/or factor identification is important in accident reduction planning. The aim of this paper is to apply the hierarchical approach with binomial distribution and logistic regression analysis to find out types and factors, respectively. Based on 2001 Suwon city black spot data, a binomial distribution modeling approach has been applied to diagnose the black spots, with the help of safety performance modeling approach has been applied to diagnose the black spots, with the help of safety performance function. Then, the logistic regression analysis has been employed to identify the critical factors. Some accident remedies are also reviewed in the light of the model outcomes. The proposed research framework sheds light on a different accident related research and can also be successfully applied to similar studies and sites.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.257-261
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• 2019

Service user satisfaction in the community service is also an important factor that leads to the improvement of the quality of the social service and the self - reliance of the service provider. The purpose of this paper is to examine the satisfaction factors affecting service continuity intentions in community service users, and provide direction and demand forecast information to improve user satisfaction and service satisfaction. In this study, the reliability test was conducted to check the reliability of each measurement tool and descriptive statistics and frequency analysis were conducted to identify the general characteristics of the study subjects. Logistic regression analysis was conducted to determine the effect of user satisfaction factors on service continuity. As a result of this study, it was confirmed that service user satisfaction in the community service is an important factor for improving the quality of social services and for the independence of service providers.

• Information Systems Review
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• v.10 no.2
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• pp.49-70
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• 2008

The increase in demand for e-learning has created a need to explore the implications of the emerging paradigm shift on the learning environment. To utilize information technology to improve learning processes, the pedagogical assumptions underlying the design of information technology for educational purposes must be understood. However, little theoretical development or empirical research has examined the learning effectiveness in web-based distance learning. In this regard, the primary purpose of this study is to investigate which factors of E-learning influence the effectiveness of education and expectation. Based on the prior studies of the education and business training field, research model and research hypotheses were developed. Factors studied in this paper were student characteristics, system environment and teacher characteristics. The result showed that the student characteristics has the significant effect on the effectiveness of education and expectation. However, the system characteristics and the teacher characteristics have the partial significant effects. This result is partially due to the subject characteristics of this study, because the subjects of this study are the students and they have already the experiences in IT and e-learning.

• Journal of Gifted/Talented Education
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• v.24 no.2
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• pp.289-312
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• 2014

The purpose of this study is to develop academic resilience scale for gifted youth. We extracted the pilot questionnaire of 101 items from open-ended questions with 178 scientifically gifted students and literature review. Item analysis and exploratory factor analysis were also carried out with data of 240 gifted youth. Finally, 11 factors from which 42 items were extracted and validated through the confirmatory factor analysis involving 444 gifted youth throughout the nation. The names of the extracted factors were sense of purpose, self-understanding, educational aspirations, academic self-regulation, task commitment, attribution for success (ability), attribution for success (effort), the interpersonal relationship (friend), the interpersonal relationship (parent), the interpersonal relationship(teacher), and optimism. The results show that all of the path coefficient and construct reliability, AVE (Average Variance Extracted), and coefficient of determination were all acceptable. The result of the study indicated that Academic Resilience Scale for Gifted Youth was positively and significantly correlated with School Adaptation Scale and Resilience Scale. However it was negatively correlated with Academic Burnout Scale, and it was statistically significant. Thus, Academic Resilience Scale for Gifted Youth demonstrated satisfactory internal validity and external validity. The results of the present study suggests theoretical and practical implications of the newly developed Academic Resilience Scale for Gifted Youth.

• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.595-604
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• 2004

Automatic analysis of concepts or semantic relations from text documents enables not only an efficient acquisition of relevant information, but also a comparison of documents in the concept level. We present a multiple cause model-based approach to text analysis, where latent topics are automatically extracted from document sets and similarity between documents is measured by semantic kernels constructed from the extracted topics. In our approach, a document is assumed to be generated by various combinations of underlying topics. A topic is defined by a set of words that are related to the same topic or cooccur frequently within a document. In a network representing a multiple-cause model, each topic is identified by a group of words having high connection weights from a latent node. In order to facilitate teaming and inferences in multiple-cause models, some approximation methods are required and we utilize an approximation by Helmholtz machines. In an experiment on TDT-2 data set, we extract sets of meaningful words where each set contains some theme-specific terms. Using semantic kernels constructed from latent topics extracted by multiple cause models, we also achieve significant improvements over the basic vector space model in terms of retrieval effectiveness.