• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.206-208
• /
• 2022

As the big data industry has recently developed significantly, interest in privacy violations caused by personal information leakage has increased. There have been attempts to automate this through named entity recognition in natural language processing. In this paper, named entity recognition data is constructed semi-automatically by identifying sentences with de-identification information from de-identification information in Korean Wikipedia. This can reduce the cost of learning about information that is not subject to de-identification compared to using general named entity recognition data. In addition, it has the advantage of minimizing additional systems based on rules and statistics to classify de-identification information in the output. The named entity recognition data proposed in this paper is classified into twelve categories. There are included de-identification information, such as medical records and family relationships. In the experiment using the generated dataset, KoELECTRA showed performance of 0.87796 and RoBERTa of 0.88.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.182-184
• /
• 2022

As artificial intelligence (AI) is emphasized in elementary and secondary school education, interest in AI-applied class activities is increasing. Since AI is taught across various subjects in schools, teachers must plan lessons based on the principles of convergence education. In this paper, the concept of convergence education and matters to be considered for productive class activities were reviewed. Then, considerations for designing AI classes in schools are presented in the following aspects: characteristics of AI education in schools; educational goals for each school level in the general guidelines of the national curriculum; resources to be referenced when composing class content; perspectives on AI-applied software; and anticipated instructional procedures. As a suggestion, the following is presented. First, it is necessary to derive competencies that can be cultivated by AI education in school. Second, it is necessary to specify the design elements and procedures of AI classes based on the subject characteristics.

• Journal of the Korean Society of Radiology
• /
• v.17 no.2
• /
• pp.267-275
• /
• 2023

Occupational exposure records are subject of global interest, and analysis of radiation workers in work categories is being conducted. In Rep. of Korea, according to relevant ministries, the MOHW(Ministry of Health and Welfare), the MAFRA(Ministry of Agriculture, Food and Rural Affairs), and the NSSC(Nuclear Safety and Security Commission) collect and analyze records of occupational exposure by dividing them into 11 work categories. However, this classification system lacks consistency with the systems of major countries, including the UNSCEAR(United Nations Scientific Committee on the Effects of Atomic Radiation). The domestic radiation work field classification system does not have clear classification criteria and does not reflect the characteristics of the radiation work field. Through the analysis of the classification system of the UNSCEAR, we suggested the five main categories(nuclear cycle, medical, industrial, others(education/research, military/public) field and several sub-categories according to each radiation work field.

• Journal of the Korean Society for information Management
• /
• v.40 no.2
• /
• pp.33-57
• /
• 2023

This study aims to analyze students' information needs and information-seeking behavior at science schools for gifted through in-depth interviews. The research design was conducted based on previous studies. Through in-depth interviews, this study examined ten students from six out of eight science schools for the gifted in Korea for information needs and overall information-seeking behavior. The results showed the information needs of students at science schools for gifted in the areas of curricular and extracurricular activities as well as the information-seeking behavior in teaching, learning, and research activities, which were the main topics of interest to students based on the ISP model. Based on these results, we identified the preferred information sources in the information-seeking process and discussed the peculiarities and implications of students' information-seeking behavior. The research is meaningful as it can be used as a basis for further research on the science school for gifted library and as a resource for providing services for students with deep interests and talents in science subject areas.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.19 no.2
• /
• pp.187-198
• /
• 2008

If mentoring is performed in university libraries for mentors, the senior librarians with much experience and mentees, the juniors with less or no experience, how would they respond to it and what would be the mentoring they wish to do? This study aims to find those out by analyzing data. For this, it referred to literature and conducted a survey with the subject of the librarians at the P university library. As a result, they showed relatively higher intentions to participate in mentoring. Their highest interest topics were their job related advice or consultation. For the mentor-mentee matching, they wished to have such relationship from the board organized in the library, or mentees wanted to select. They chose work ability as the most important requirement for their partners involved in the mentoring. They responded that the best mentor-mentee matching would be 1:1 and less than a year would be appropriate for the mentoring period. As shown above, most of the librarians showed intentions to participate in mentoring for their professional development and self-learning opportunity; therefore, university libraries should publicize librarians' mentoring actively and develop various programs for it.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.5
• /
• pp.215-228
• /
• 2019

The purpose of this study is to analyze the trends of research themes of the Korean dance in recent 20 years using text mining. The study has analyzed 3,047 words in 1,468 academic papers posted in the Research & Information Services Section(RISS). TEXTOM, a big data analysis solution, has been used to refine and analyse data, and the keyword analysis and topic modeling have been adopted during the text-mining process to come up with meaningful results. First, the theme of studies has shifted from the structure of the basic Korean dance moves to the use and transmission of the Korean dance. Second, those who participate in studies of the Korean dance have changed from middle-aged women to elderly women. Third, studies on dance records have been inactivated. Fourth, studies on Choi Seung-hee have consistently been a subject of interest. Fifth, the focus of studies has turned from the Korean creative dance to the Korean traditional dance. Sixth, there are no iconic research themes that would lead the academic trends with no clear boundaries of research themes.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.5
• /
• pp.59-65
• /
• 2019

The decline of cybersickness, an important task that must be addressed in terms of growth of the virtual reality content industry, is a subject of much attention not only in the industrial sector but also in academia. However, despite the long-standing interest in and research on cybersickness, the solution is insufficient. In this paper, the purpose of this paper is to develop a tool to effectively measure cybersickness when users experience immersive virtual reality, and come up with measures to reduce cybersickness. First, the common factors related to cybersickness were analyzed in the method used in the preceding study, and each was derived as a subcomponent. Based on this, we are going to present an effective cybersickness measurement assessment tool model in immersive virtual reality. We would like to refer the assessment tool model to the study as well as to the reduction of cybersickness.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.33 no.3
• /
• pp.365-374
• /
• 2023

Objectives: After the MSDS submission and non-disclosure review system was introduced in January 2021, there were compliance difficulties in the field. Accordingly, for the establishment of the MSDS system, the government intends to investigate what has been improved and what urgently needs to be improved in the future, and to suggest detailed improvement plans. Methods: The background and problems of urgent difficulties in the field handling chemicals were investigated, and realistic improvement plans were derived through review of other laws related to the MSDS system and overseas cases. Results: In order to guarantee the safety of the public while at the same time promoting corporate R&D, it is necessary to alleviate the non-disclosure screening system for chemical substances for R&D, and to improve the irrationality of failing to implement the non-disclosure screening system due to information on unclassified substances being circulated. For this reason, it seems necessary to ease the requirement to submit all ingredients. In addition, it is necessary to strengthen punishment to raise awareness so that health problems do not occur due to the harmfulness and danger of hidden substances among workers who handle chemical substances and downstream users due to false descriptions in MSDS. Conclusions: All members of our society, including chemical manufacturers/importers and handling companies, academia, civil society, and the government, each subject of chemicals, should take an interest in the entire process from production to disposal of chemicals and work together to prevent harm to the public.

• Korea Trade Review
• /
• v.45 no.6
• /
• pp.133-156
• /
• 2020

This study analyzed the research trend of the papers in the field of customs clearance published from the first issue of the Korean Trade Review to the August 2020 issue. The research method used mixed methods. This method uses both quantitative and qualitative methods, and is a research method to make use of the strengths and weaknesses of each research method. The quantitative study results are as follows. First, an average of 0.7 papers were published for the entire period, but since 2006, an average of 1.2 papers have been published, and the overall interest is increasing. Second, in the case of researchers, the proportion of joint research was slightly higher, with 43.8% of independent research and 56.2% of joint research. In particular, the ratio of 3 or more people is also increasing to 21. Third, looking at the trends by research subject, it was found that among the research fields, there were relatively more studies in the fields of FTA, country of origin, and CISG than in the fields of tariff policy, tariff system and legislation. Fourth, Domestic studies accounted for 75.2% and overseas studies 24.8%, with a high proportion of domestic studies, 13.4 articles in domestic literature, 12.2 articles overseas, and 40 articles supporting research funding. The results of qualitative research need to secure diversity in terms of the generality and specificity of the research topic, and that research in industry-academia or public-private connection should increase, and research from the point of view of "why" rather than "how" Suggested that it is necessary.

• Food Science of Animal Resources
• /
• v.43 no.6
• /
• pp.1087-1110
• /
• 2023

The growing demand for sustainable food production and the rising consumer preference for fresh, healthy, and safe food products have been driving the need for innovative methods for processing and preserving food. In the meat industry, this demand has led to the development of new interventions aimed at extending the shelf life of meats and its products while maintaining their quality and nutritional value. Cold plasma has recently emerged as a subject of great interest in the meat industry due to its potential to enhance the microbiological safety of meat and its products. This review discusses the latest research on the possible application of cold plasma in the meat processing industry, considering its effects on various quality attributes and its potential for meat preservation and enhancement. In this regard, many studies have reported substantial antimicrobial efficacy of cold plasma technology in beef, pork, lamb and chicken, and their products with negligible changes in their physicochemical attributes. Further, the application of cold plasma in meat processing has shown promising results as a potential novel curing agent for cured meat products. Understanding the mechanisms of action and the interactions between cold plasma and food ingredients is crucial for further exploring the potential of this technology in the meat industry, ultimately leading to the development of safe and high-quality meat products using cold plasma technology.