• Journal of Distribution Science
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• v.10 no.11
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• pp.31-37
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• 2012

Purpose - This study was conducted under the assumption that brand A, a store of company Z of Pangyo, with a new store at Pangyo station is targeting the Bundang-gu area of the newly developed city of Seongnam. Research design, data, methodology - As a result of demand forecasting using geometric series models, an extrapolation of past trends provided the coefficient estimates, without utilizing regression analysis on a constant increase in children's wear, for which the population size and estimated parameter were required. Results - Demand forecasting on the basis of past trends indicates the likelihood that sales of discount stores in the Bundang area, where brand A currently has a presence, would fetch a higher estimated value than that of the average discount store in the country during 2015. If past trends persist, future sales of operational stores are likely to increase. Conclusions - In evaluating location using the simple weighting model, Seohyun Lotte Mart obtained a high rating amongst new stores in Pangyo, on the basis of accessibility, demand class, and existing stores. Therefore, when opening a new counter at a relevant store, a positive effect can be predicted.

• Current Research on Agriculture and Life Sciences
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• v.31 no.4
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• pp.233-239
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• 2013

Understanding the temporal variability of agricultural parameters derived from historical climate data is important for planning in agriculture. Therefore, this study assessed the magnitude and recent trends of the transpiration ratio defined as the crop water use per harvested yield for the period from 1980 to 2010. The crop water use was estimated using the Food and Agriculture Organization's Crop Wat model for eight administrative provinces in Korea. The temporal trends and spatial uncertainty were explored using the Mann-Kendall and Theil Sen's methods. The regional average rice yield was $6.31t\;ha^{-1}$(range 5.9 to $6.9t\;ha^{-1}$). The results showed that the rice yield in Korea increased by $26kg\;ha^{-1}yr^{-1}$. Overall, the regional average transpiration ratio was $1,298m^3t^{-1}$ (range 1,162 to $1,470m^3t^{-1}$). From 1980 to 2010, the transpiration ratio decreased by $8.2m^3t^{-1}$ (range 2.7 to $14.4m^3t^{-1}$), largely as a result of the increasing yield. The statistical approach to historical data used in this study also provides a basis for simulating the future transpiration ratio.

• Journal of muscle and joint health
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• v.21 no.3
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• pp.255-264
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• 2014

Purpose: The purpose of the study were to analyze the research trends of compassion fatigue in Korea nurses and to suggest future research directions. Methods: For this study, RISS, KISTI, KISS, National Assembly Library databases were searched using the key words 'compassion fatigue', 'secondary traumatic stress', 'professional quality of life' that contains compassion fatigue as a sub-element, and 'nurses' for this study. A total of 124 articles published in June 2014 were searched and analyzed 19 articles for the final analysis. Results: The most frequently used study design was descriptive (N=17, 89.5%). High compassion fatigue was reported in this study. Factors affecting compassion fatigue were personal factors (e.g., age, health state, and sleep hours), work-related factors (e.g., experience with traumatized patients), and psychological factors (e.g., job stress, anxiety, excessive empathy, social support, and coping strategy). Finally, Consequence factors of compassion fatigue was reported burnout, silencing response and turnover intention. Conclusion: There was a few studies on compassion fatigue. Further research on compassion fatigue needs to use a variety of study designs instruments suitable for Korean nurses, and to develop management programs on compassion fatigue in nurses.

• Korean Medical Education Review
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• v.22 no.1
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• pp.32-45
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• 2020

This narrative review introduces global trends in pharmacovigilance (PV) education for healthcare professionals and the status of PV education in Korea. Proactive participation of healthcare professionals, including physicians, pharmacists, and nurses in reporting suspected adverse events is the main driving force for effective operation of the spontaneous adverse event reporting system database, which in turn facilitates early safety signal detection of otherwise unknown suspected adverse events. The World Health Organization recognizes PV education curriculum as a key aspect in promoting awareness of PV and adverse event reporting among healthcare professionals, and multiple studies have demonstrated that PV educational interventions for healthcare professionals have increased overall adverse event reporting. Considering the global trends in PV education, the curriculum in Korean universities still has room for improvement in promoting PV obligation among future healthcare professionals. Further research is needed to develop PV education curriculum. We suggest a three-step project for innovating PV education in Korea to meet the global PV educational standards: a survey to gauge current PV competencies among healthcare professionals, reform of current PV academic curriculum, and evaluation and fine-tuning of the reformed curriculum.

• Agribusiness and Information Management
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• v.11 no.1
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• pp.1-9
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• 2019

This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• Journal of Korean Society of Archives and Records Management
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• v.13 no.3
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• pp.199-229
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• 2013

This study analyzed the trends of research on archival information services in Korea from 2001 to 2013. A total of 73 research articles were analyzed by quantitative and qualitative content analysis to summarize research output done so far and identify future research areas. Based on the analysis, it concludes that the research on archival information service requires increase of practice-based study, in-depth discussions of theoretical frameworks, and emergence of diverse perspectives of FOIA and relevant policies.

• Electronics and Telecommunications Trends
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• v.33 no.5
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• pp.111-120
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• 2018

Agent-based modeling and simulation (ABMS) is a computational method for analyzing research targets through observations of agent-to-agent interactions, and can be applied to multidimensional policy experiments in various fields of social sciences to support policy and decision making. Recently, according to increasing complexity of society and the rapid growth of collected data, the need for high-speed processing is considered to be more important in this field. For this reason, in the ABMS research field, a scalable and large-scale computing infrastructure is becoming an essential element, and cloud computing has been considered a promising infrastructure of ABMS. This paper surveys the technology trends of ABMS tools, cloud computing-based modeling, and simulation studies, and forecasts the use of cloud-computing infrastructure for future modeling and simulation tools. Although fundamental studies are underway to apply and operate cloud computing in the areas of modeling and simulation, new and additional studies are required to devise an optimal cloud computing infrastructure to satisfy the needs of large-scale ABMS.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.37-47
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• 2013

Text Mining is a research area of retrieving high quality hidden information such as patterns, trends, or distributions through analyzing unformatted text. Basically, since text mining assumes an unstructured text, it needs to be represented as a simple text model for analyzing it. So far, most frequently used model is VSM(Vector Space Model), in which a text is represented as a bag of words. However, recently much researches tried to apply a graph-based text model for representing semantic relationships between words. In this paper, we survey research trends of graph-based text representation models for text mining. Additionally, we also discuss about future models of graph-based text mining.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.821-835
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• 2016

This study investigates the domestic and international research trends to analyze the economic effects of various information security certification systems. Results of the study can suggest future research topics for researchers, and help make rational decision-making on introducing information security management systems for practitioners.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.127-130
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• 2013

Apple's iPhone was released and the SmartPhone craze started in the world. Then, Many kind of SmartPhone released on the market, the number of subscribers increased explosively for the convenience of SmartPhone. By SmartPhone users increases rapidly, the number of Malware targeting SmartPhones increased explosively. The SmartPhone Malware, tend to increase explosively in 2012 beginning to be discovered in earnest from the second half of 2011, and is continuously increasing even now. In this paper, describes the status and trends of SmartPhone Malware, through the analysis of trends in the SmartPhone Malware, we describe the future prospects of SmartPhone Malware.