• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.99-117
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• 2017

The present study positively analyzed the hyperlinks of 32 web sites with the purpose of analyzing the hyperlink network structure of web sites for each domestic library type. After collecting the hyperlink data using the crawler, we analyzed the overall characteristics of the websites in the network based on the characteristics of the library. The results are as follows. 1) Among all analyzed libraries, Yonsei scored the highest in degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. 2) By library type, Sejong for national library, Seoul for public library, and Yonsei for college library appeared an influential a relatively. Based on these analysis results, the present study will be utilized as basic data for establishing an operation strategy that improves the efficiency and effectiveness of library web sites in the future.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.120-130
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• 2008

In construction industry, project performance should be evaluated in terms of project value objectives, i.e., cost, time, quality, safety, and environment. However, there have been few, if any, systematic approaches in assessing comprehensive performance level which encompasses the whole spectrum of project value objectives. It is non trivial to establish the standardized performance metric system due to the project individualities. This study provides a new approach in assessing the wide variety of project performance types by collecting the real industry project data. In addition, the proposed system has been validated through industry survey on project practitioners. It is concluded that the developed quantitative project performance measurement system would be effectively useful in indicating the level of current status of a particular project and furthermore, to provide a meaningful strategy for the future project in a more sustainable way.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.1-12
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• 2003

In this paper, we Introduce the Unreal Tournament (UT) game and the Gamebots system. The former it a well-known 3D first-person action game and the latter is an intelligent agent research testbed based on UT And then we explain the design and implementation of KGBot, which is an intelligent non-player character deploying effectively within the 3D virtual environment provided by UT and the Gamebots system. KGBot is a bot client within the Gamebots System. KGBot accomplishes its own task to find out and dominate several domination points pro-located on the complex surface map of 3D virtual environment KGBot adopts UM-PRS as its control engine, which is a general BDI agent architecture. KGBot contains a hierarchical knowledge base representing its complex behaviors in multiple layers. In this paper, we explain details of KGBot's Intelligent behaviors, tuck af locating the hidden domination points by exploring the unknown world effectively. constructing a path map by collecting the waypoints and paths distributed over the world, and finding an optimal path to certain destination based on this path graph. Finally we analyze the performance of KGBot exploring strategy and control engine through some experiments on different 3D maps.

• Horticultural Science & Technology
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• v.34 no.3
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• pp.372-382
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• 2016

In this study, we investigated the effect of seed collection stage and alternating temperature on the germination of Deutzia paniculata (Hydrangeaceae). The seeds were collected from naturally growing D. paniculata populations in Mt. Palgong, Gyeonsangbuk-do, Korea every two weeks over a three month period from August through October, 2014, totaling five collections. We examined seed characteristics such as seed size (length and width) and weight, and germination percentages for each collection stage under four different germination temperature regimes. We also examined germination after 30 and 60 days of cold moist stratification. Each collection phase had a different germination percentage and the lowest germination percentage was observed in the seeds from phase I (average GP of 15.7%). The germination percentage was similar at the later collection phases and in the higher temperatures suggesting that later collection times and higher temperatures are optimal for D. paniculata germination. We found that the optimum collection stage with high viability and germination percentage of for D. paniculata was during the middle of the September.

• Journal of Electrochemical Science and Technology
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• v.10 no.3
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• pp.302-312
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• 2019

The voltage produced from the salinity gradient in reverse electrodialysis (RED) increases proportionally with the number of cell pairs of alternating cation and anion exchange membranes. Large-scale RED systems consisting of hundreds of cell pairs exhibit high voltage of more than 10 V, which is sufficient to utilize water electrolysis as the electrode reaction even though there is no specific strategy for minimizing the overpotential of water electrolysis. Moreover, hydrogen gas can be simultaneously obtained as surplus energy from the electrochemical reduction of water at the cathode if the RED system is equipped with proper venting and collecting facilities. Therefore, RED-driven water electrolysis system can be a promising solution not only for sustainable electric power but also for eco-friendly hydrogen production with high purity without $CO_2$ emission. The RED system in this study includes a high membrane voltage from more than 50 cells, neutral-pH water as the electrolyte, and an artificial NaCl solution as the feed water, which are more universal, economical, and eco-friendly conditions than previous studies on RED with hydrogen production. We measure the amount of hydrogen produced at maximum power of the RED system using a batch-type electrode chamber with a gas bag and evaluate the interrelation between the electric power and hydrogen energy with varied cell pairs. A hydrogen production rate of $1.1{\times}10^{-4}mol\;cm^{-2}h^{-1}$ is obtained, which is larger than previously reported values for RED system with simultaneous hydrogen production.

• 재활복지
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• v.22 no.2
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• pp.175-212
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• 2018

The purpose of this study was to identify factors that affect the optimal selection of rehabilitation therapy and explore a processing model of rehabilitation decision-making for parents of children with cerebral palsy. A ground theory of Strauss and Corbin(1988)was used. Thus, collecting data was classified into open coding 140 concepts, 29 sub-categories and 8 categories. As a result of analysis, we identified that the main phenomenon was 'finding optimal therapy in trial and error' and parents experienced 6 stages including 'embarrassment', 'confusion', 'maximization', 'wandering', 'strategy', and 'balance'. Furthermore, 'rehabilitation-daily life balance' was a key category for continuation of treatment. This qualitative study discribed factors influencing determination of treatment and its continuation, and suggested a processing model of parents' decision- making for rehabilitation of their children.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.26-36
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• 2019

Since more than 30 different information systems are collecting and providing construction related information, it is difficult for information users to figure out where and how to acquire the required information. Even if the user find the information, it is hard to meet users demand. Because the current systems accumulate the data just as administrative data and can do not connect the information from the different phases of the lifecycle for the specific facility. The information collected and managed in different information systems should be integrated in terms of lifecycle of the facility to improve money for value of public investment, the quality of life by improving quality of the facility and to provide the foundation for big data utilization in the construction industry. This paper suggested strategic planning for the development of the (assumed name) "The Lifecycle Integrated Construction Information Portal" as a foundation to use the data in construction industry, by investigating prerequisites and suggesting conceptual framework of the system.

• Journal of Industrial Convergence
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• v.16 no.3
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• pp.23-32
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• 2018

The purpose of this study was to investigate levels of emotional intelligence, resilience, post-traumatic growth and communication skill of nursing students and to identify the factors affecting communication skill of nursing students and to use them as basic data to improve communication skill. The data collecting period is from April to May, 2017, and the subjects are 296 nursing students in D city. The results of the study showed that there was a statistically significant positive correlation between emotional intelligence, resilience, post-traumatic growth, and communication skill of nursing students. Also, as emotional intelligence, resilience, and post-traumatic growth increased, communication skill improved. The explanatory power of regression model was 51.9%. In conclusion, it is necessary to efforts to improve the emotional intelligence, resilience, and post-traumatic growth as a strategy to enhance communication skills of nursing students in order to establish therapeutic relationships with patients as nurses.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.2
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• pp.175-185
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• 2021

Purpose: The aim of this study was to identify core keywords and topic groups in the 'Gestational diabetes mellitus (GDM) and Breastfeeding' field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', 'fetus', 'hypoglycemia', 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were 'cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: 'cardiovascular disease', 'obesity', 'complication prevention strategy', 'support of breastfeeding', 'educational program' and 'management of GDM'. Conclusion: This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.385-397
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• 2021

This study examined service failure and recovery of domestic ethnic food restaurants based on a model of the repercussions of service failure dealing with seriousness and control and the cause-and-effect relationships among the variables relevant to the quality of relationships -trust, satisfaction, and loyalty. This study provides valuable information for Korean restaurant managers regarding food service failure and response plans by collecting data from actual Japanese tourists visiting ethnic food restaurants. The results suggested that it is important to develop a strategy to present the distributional fairness to customers who recognize the seriousness of service failure to control the situation promptly. These results can be used to establish more systematic business plans, improving customer management and firm performance. The advantage of this research is that it is time for substantial research data on the booming domestic restaurant industry and service quality to overcome the current recession and grow and solidify the current restaurant market.