• Journal of Research and Publication Ethics
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• v.3 no.1
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• pp.7-11
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• 2022

Purpose: The purpose of this study is to derive clues about the development direction of research ethics and areas of interest which has recently become a social issue in Korea by confirming overseas research trends. Research design, data and methodology: We collected 2,760 articles in scienceON, which including 'research ethics' in their paper. For analysis, frequency analysis, word clouding, keyword association analysis, and LDA topic modeling were used. Results: It was confirmed that many of the papers were published in medical, bio, pharmaceutical, and nursing journals and its interest has been continuously increasing. From word frequency analysis, many words of medical fields such as health, clinical, and patient was confirmed. From topic modeling, 7 topics were extracted such as ethical policy development and human clinical ethics. Conclusions: We founded that overseas research trends on research ethics are related to basic aspects than Korea. This means that a fundamental approach to ethics and the application of strict standards can become the basis for cultivating an overall ethical awareness. Therefore, academic discussions on the application of strict standards for publishing ethics and conducting researches in various fields where community awareness and social consensus are necessary for overall ethical awareness.

• Journal of the Health Care and Life Science
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• v.10 no.2
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• pp.237-242
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• 2022

The purpose of this study is to explore an effective learning process by applying PBL to the subject of welfare theory for the disabled. To this end, 'Welfare Measures for the Severely Disabled in the Situation of COVID-19' was conducted as a class on the welfare of the disabled. A total of 20 students participated in the PBL class, and data were collected and analyzed through individual learning activities, group learning activities, evaluation papers, and reflection journals. The analysis results showed the effectiveness of the PBL class in the learners' problem-solving ability, self-directed learning ability, critical thinking ability, and cooperative learning ability. Based on the results of this study, a method for applying problem-focused learning (PBL) to social welfare subjects was suggested.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.4
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• pp.546-552
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• 2007

Purpose: This study was performed to identify current characteristics(Academic Value and Outcome) of the Journal of Korean Academy of Nursing Administration. Method: This 57 papers analyzed the Journal of Korean Academy of Nursing Administration(2006) and comparisons were made with similar studies in Health and Social Science(2006). Results: The analysis of the contents for the papers were suggested according to research purposes: research compatibility, research creativity, research excellence. Conclusion: It is suggested that in depth research be made on nursing management based on evidence practice, nursing informatics, legal and ethical issues. It is developmental direction for academic value and outcome of the Journal of Korean Academy of Nursing Administration.

• Journal of Information Processing Systems
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• v.14 no.2
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• pp.455-468
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• 2018

The concepts of graph theory are applied to model and analyze dynamics of computer networks, biochemical networks and, semantics of social networks. The analysis of dynamics of complex networks is important in order to determine the stability and performance of networked systems. The analysis of non-stationary and nonlinear complex networks requires the applications of ordinary differential equations (ODE). However, the process of resolving input excitation to the dynamic non-stationary networks is difficult without involving external functions. This paper proposes an analytical formulation for generating solutions of nonlinear network ODE systems with functional decomposition. Furthermore, the input excitations are analytically resolved in linearized dynamic networks. The stability condition of dynamic networks is determined. The proposed analytical framework is generalized in nature and does not require any domain or range constraints.

• Journal of applied mathematics & informatics
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• v.28 no.3_4
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• pp.569-582
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• 2010

The following "Periodic Jacobi Procrustes" problem is studied: find the Periodic Jacobi matrix X which minimizes the Frobenius (or Euclidean) norm of AX - B, with A and B as given rectangular matrices. The class of Procrustes problems has many application in the biological, physical and social sciences just as in the investigation of elastic structures. The different problems are obtained varying the structure of the matrices belonging to the feasible set. Higham has solved the orthogonal, the symmetric and the positive definite cases. Andersson and Elfving have studied the symmetric positive semidefinite case and the (symmetric) elementwise nonnegative case. In this contribution, we extend and develop these research, however, in a relatively simple way. Numerical difficulties are discussed and illustrated by examples.

• Journal of Society of Preventive Korean Medicine
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• v.13 no.2
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• pp.115-128
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• 2009

Background : Currently, ontology research has led the trend of technical development in medical informatics area. For Korean medicine, the reference terminology should be developed to facilitate the ontology research. Objective : This research aimed to design the management system for traditional Korean medical terms. Method :We built the internet-based system in which multi-users work simultaneously by using the relational database system(SQL Server2005) and visual studio 2005. Result : By this system, researchers can collect, refine, and inspect Korean medicine terms efficiently, and the terms can be transcribed into synonym, Korean, Chinese, and simplified Chinese. It enables the terms be input into the system accurately and managed by its classification. Conclusion : We developed the concept groups and its hierarchy system for Korean medicine terms which provides the basis for ontology system.

• Safety and Health at Work
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• v.7 no.3
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• pp.201-207
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• 2016

Background: Korean Working Conditions Surveys (KWCS), referencing European Working Conditions Surveys, have been conducted three times in order to survey working condition and develop work-related policies. However, we found three limitations for managing the collected KWCS data: (1) there was no computerized system for managing data; (2) statistical KWCS data were provided by limited one-way communication; and (3) the concept of a one-time provision of information was pursued. We suggest a web-based public service system that enables ordinary people to make greater use of the KWCS data, which can be managed constantly in the future. Methods: After considering data characteristics, we designed a database, which was able to have the result of all pairwise combinations with two extracted data to construct an analysis system. Using the data of the social network for each user, the tailored analysis system was developed. This system was developed with three methods: clustering and classification for building a social network, and an infographic method for improving readability through a friendly user interface. Results: We developed a database including one input entity consisting of the sociodemographic characteristics and one output entity consisting of working condition characteristics, such as working pattern and work satisfaction. A web-based public service system to provide tailored contents was completed. Conclusion: This study aimed to present a customized analysis system to use the KWCS data efficiently, provide a large amount of data in a form that can give users a better understanding, and lay the ground for helping researchers and policy makers understand the characteristics.

• Journal of Internet Computing and Services
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• v.15 no.5
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• pp.33-41
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• 2014

The purpose of this study is to provide statistical analysis based suggestions on effective methods to take advantage of social network service (SNS) for educational purposes based on investigations of undergraduate students with high utilization of SNS. To achieve this, we conducted an open questionnaire survey and qualitatively analyzed the data using NVivo 10 program. Additionally, to visualize the analysis by education subject of the SNS educational methods, we have divided the data into 3 categories of teacher, student and common area. As a result, our analysis showed that the exchange opinions and discussions, information sharing and learning of contents of questions and answers, surveys, intimacy formation, counseling etc. were of the common area. Furthermore, teacher area included the notice announcement, teaching materials sharing, real-time assessment (quiz), attendance check, assignment grading and feedback, etc. Finally the student area was of project activities (group/individual), prepare and review the shared data, video self learning, peer review and feedback of projects, lecture evaluation, etc.

• Journal of The Korean Association of Information Education
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• v.16 no.1
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• pp.1-10
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• 2012

The purpose of this paper is a study of survey about teachers' attitude and recognition of education using newest information technology such as s-learning, social network and Web 3.0. We researched for elementary school teachers about recognition of the newest IT trend, educational necessity and effect of the newest IT. As a result, recognition and understanding of the newest IT is low but teachers think that effect of education using the newest IT is very high. Moreover, they have a lot of will for using the newest IT devices and training about the newest IT. However, it shows that they are diffident of taking charge of the newest IT and teaching for students using it. Also, the results showed different tendency as generations. This study would be a important role for deciding on direction of informatics education for 21C.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.69-78
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• 2024

Recently, consumers have shown an increasing tendency to seek information related to environmental, social, and governance (ESG) aspects in order to choose products with higher social value and environmental friendliness. In this paper, we proposes a product recommendation system applying ESG indicators tailored to the recent consumer trend of value-based consumption, utilizing a model called MultiSAGE that combines GraphSAGE and GAT. To achieve this, ESG rating data for 1,033 companies in 2022 collected from the Korea ESG Standard Institute and actual product data from N companies were transformed into a Heterogeneous Graph format through a data processing pipeline. The MultiSAGE model was then applied in machine learning to implement a recommendation system that, given a specific product, suggests eco-friendly alternatives. The implementation results indicate that consumers can easily compare and purchase products with ESG indicators applied, and it is anticipated that this system will be utilized in recommending products with social value and environmental friendliness.