• Journal of Digital Convergence
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• v.18 no.4
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• pp.411-417
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• 2020

In this study, the Interactive advertising in the Outdoor Interactive Digital Signage is taken as the research object, and the effect of the advertising in the Outdoor Interactive Digital Signage compared to the traditional advertising on consumer propensity is studied. Based on the research methods of literature data and case analysis, we first researched and analyzed the impact of the development of the Internet and artificial intelligence on Interactive Digital Signage advertising, combined with consumer trends and habits, according to the characteristics of Interactive Digital Signage advertising, and '199IT-Internet data Based on the data in the Resource Library, and using an example analysis method, three reasons for the impact of Interactive digital signage advertisements on consumer spending tendencies are proposed. The purpose is to provide reference for future companies to use Interactive digital signage for ad placement and help companies. Increase product sales to increase product value and customer trust in the brand.

• Journal of the Korean Society of School Health
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• v.27 no.1
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• pp.7-21
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• 2014

Purpose: This study aims to evaluate the effects of school-based education programmes to prevent unintentional injuries in 7~19 years old. Methods: To perform a systematic literature survey, the researchers searched three databases - MEDLINE (PubMed), EMBASE and THE COCHRANE LIBRARY - for literature relevant to 'safety accidents in school' (published up to October 2013). The term 'school-based unintentional injuries' was used to sort out studies on injuries. This study adopted a pretest-posttest comparative design and the participants were children and adolescents aged 7 to 19 years. Results: The search yielded 9,553 records, of which eight studies were included in the review. The eight studies examined the effect of school-based education programmes to prevent unintentional injuries. The research revealed that education programmes had a significant impact on knowledge improvement and behavior change. Although two studies of the total eight showed a difference in attitude scores between the experimental group and the control group, the difference was not statistically significant. Conclusion: Despite the changes in education and public policy, trauma-related injuries continue to result in an unacceptably high morbidity and mortality, particularly among young people. More effective school health programs, policies and programmatic interventions are needed to reduce safety accidents and improve health among youth.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.105-115
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• 2021

Many services are provided through big data analysis in various fields such as individuals, private sectors, and governments. There is a growing interest in training data scientists to provide these services. Particularly, interest in big data-based marketing curriculum is high. This study analyzed the domestic and foreign university big data-based marketing-related curriculum to utilize vast and diverse types of information from a marketing perspective in the era of big data. As a result of the analysis of 3,523 subjects related to digital marketing, big data marketing, data analysis, and developers collected according to the analysis criteria, it was analyzed that the specialized curriculum for training data scientists required in the era of the fourth industrial revolution was not appropriate. It is expected that the proposed curriculum in this study will be useful for the development of digital marketing and big data-based marketing curriculum.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.88-95
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• 2021

This study aims to provide implications for establishing support policies for students by empirically analyzing data on university students dropouts. To this end, data of students enrolled in D University after 2017 were sampled and collected. The collected data was analyzed using topic modeling(LDA: Latent Dirichlet Allocation) technique, which is a probabilistic model based on text mining. As a result of the study, it was found that topics that were characteristic of dropout students were found, and the classification performance between groups through topics was also excellent. Based on these results, a specific educational support system was proposed to prevent dropout of university students. This study is meaningful in that it shows the use of text mining techniques in the education field and suggests an education policy based on data analysis.

• Nuclear Engineering and Technology
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• v.56 no.3
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• pp.993-1001
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• 2024

The TANDEM project is a European initiative funded under the EURATOM program. The project started on September 2022 and has a duration of 36 months. TANDEM stands for Small Modular ReacTor for a European sAfe aNd Decarbonized Energy Mix. Small Modular Reactors (SMRs) can be hybridized with other energy sources, storage systems and energy conversion applications to provide electricity, heat and hydrogen. Hybrid energy systems have the potential to strongly contribute to the energy decarbonization targeting carbon-neutrality in Europe by 2050. However, the integration of nuclear reactors, particularly SMRs, in hybrid energy systems, is a new R&D topic to be investigated. In this context, the TANDEM project aims to develop assessments and tools to facilitate the safe and efficient integration of SMRs into low-carbon hybrid energy systems. An open-source "TANDEM" model library of hybrid system components will be developed in Modelica language which, by coupling, will extend the capabilities of existing tools implemented in the project. The project proposes to specifically address the safety issues of SMRs related to their integration into hybrid energy systems, involving specific interactions between SMRs and the rest of the hybrid systems; new initiating events may have to be considered in the safety approach. TANDEM will study two hybrid systems covering the main trends of the European energy policy and market evolution at 2035's horizon: a district heating network and power supply in a large urban area, and an energy hub serving energy conversion systems, including hydrogen production; the energy hub is inspired from a harbor-like infrastructure. TANDEM will provide assessments on SMR safety, hybrid system operationality and techno-economics. Societal considerations will also be encased by analyzing European citizen engagement in SMR technology safety.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.4
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• pp.270-279
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• 2017

Regional assessment of crop productivity using a gridded simulation approach could aid policy making and crop management. Still, little effort has been made to develop the systems that allows gridded simulations of crop growth using ORYZA 2000 model, which has been used for predicting rice yield in Korea. The objectives of this study were to develop a series of data processing modules for creating input data files, running the crop model, and aggregating output files in a region of interest using gridded data files. These modules were implemented using C++ and R to make the best use of the features provided by these programming languages. In a case study, 13000 input files in a plain text format were prepared using daily gridded weather data that had spatial resolution of 1km and 12.5 km for the period of 2001-2010. Using the text files as inputs to ORYZA2000 model, crop yield simulations were performed for each grid cell using a scenario of crop management practices. After output files were created for grid cells that represent a paddy rice field in South Korea, each output file was aggregated into an output file in the netCDF format. It was found that the spatial pattern of crop yield was relatively similar to actual distribution of yields in Korea, although there were biases of crop yield depending on regions. It seemed that those differences resulted from uncertainties incurred in input data, e.g., transplanting date, cultivar in an area, as well as weather data. Our results indicated that a set of tools developed in this study would be useful for gridded simulation of different crop models. In the further study, it would be worthwhile to take into account compatibility to a modeling interface library for integrated simulation of an agricultural ecosystem.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.614-626
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• 2018

This study was conducted to review the literature and examine the factors related to problem behaviors among students of multicultural families in Korea. A systematic review of the literature was conducted using domestic documents retrieved through July 4, 2018 based on online searches of domestic databases (the Research Information Sharing Service, Korean Studies Information Service System and the National Diet Library). A total of 2,084 studies were searched, and 21 studies were used for analysis. The factors related to problem behaviors were related to individual factors (gender, school record, self-esteem, etc.), family factors (family type, parent support, mothers' enculturation stress, etc.) and environmental factors (friend support, teacher support, social support). The variables measured the problem behaviors among students of multicultural families were school life adjustment (10), psychological, social adjustment or maladjustment (4), and emotional problem behavior (3). Overall, the results indicate that social and policy efforts are needed to improve individual, family, and environmental factors based on more specific and consistent theoretical definitions related to problem behaviors among students of multicultural families in Korea.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.11-20
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• 2018

The Q&A board is widely used as a means of communicating service enquiries, and the need for efficient management of the enquiry system has risen because certain questions are being repeatedly and frequently registered. This study aims to construct a student-centered FAQ, centered on the unstructured data posted on the university homepage's Q&A board. We extracted major keywords from 690 postings registered in the recent 3 years, and conducted the semantic network analysis to find the relationship between the keywords and the centrality analysis in order to carry out network visualization. The most central keywords found through the analysis, in order of centrality, were application, curriculum, credit point, completion, graduation, approval, period, major, portal, department. Also, the major keywords were classified into 8 groups of course, register, student life, scholarship, library, dormitory, IT and commute. If the most frequent questions are organized into these areas to form the FAQ, based on the results above, it is expected to contribute to user convenience and the efficiency of administration by simplifying the service enquiry process for repeated questions, as well as enabling smooth two-way communication among the members of the university.

• Journal of Information Management
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• v.39 no.2
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• pp.45-74
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• 2008

The purpose of this study was to promote the understanding of laboratory notebook's record characteristics through getting a line on the importance of the notebooks which have record, information, communication, and proof functions. To improve the research ethics and cultures, this study was examined and investigated by literature references and survey results. This study analyzed the status of the notebooks in part of laboratory information system of the R&D institutes, paper notebooks for laboratory records management, and the introduction of ELN for digital record. For the notebook's institutionalization, more review is needed to the possibility of involvement in the conflict, evidential requisite and signature by inspector, the limitation of autonomous policy for the notebook's operation, the difficulty of preservation for 30 years, the introduction of ELN and utilization for the notebooks. To improve management and institutionalization for the notebooks, it is needed to the notebook's record for knowledge management and evidential values, support and budget for the notebook's management department, researcher's recognition conversion for the notebooks related to the intellectual property and technology transference, the record method train for the notebooks from the university classes, and the introduction of ELN related to the laboratory information management system or project management system.

• Journal of Information Management
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• v.43 no.2
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• pp.67-83
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• 2012

Patents are the sources reflecting technology development by research and development(R&D) as well as the tools to secure economic benefits in the market, so using patent information is crucial for decision making processes in formulating technology development strategies. Intellectual property(IP) portfolios including a set of patents related to products and individual technologies are the basic unit that has the economic meaning in making national policies and technology strategies. Therefore, this research develops a total of 69 measures to identify the collective characteristics for IP portfolios("characteristics index"), by incorporating the patent indexes that have been widely used and the patent indexes that developed recently, and applying the concepts to patent analysis that have been used in interdisciplinary studies including economics and library and information science. The results of this research produced a characteristics index manual which helps experts to identify characteristics of technological innovation systems from various dimensions. We expect that the characteristics indexes can be used as a supportive tool for comparative analysis among IP portfolios in the technology policy making process.