• Convergence Security Journal
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• v.20 no.4
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• pp.47-59
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• 2020

The Army, which is dreaming of a military leap forward through the fourth industrial revolution, needs to also consider the side effects and adverse functions of the fourth industrial revolution. In particular, this study conducted an analysis of whether it was consistent with the global technological trend of normal 'military security'. This paper focuses on the countermeasures that could result from 4th industrial revolution by utilizing the text-mining technique and social network technique of big data. 1. Active promotion of a convergence program with private, public, militaryand industrial, academic, and solidarity, 2. Information Sharing for International Cooperation and Cooperation in Cyber security, 3. Military Innovation and Military Unsymmetric Cyber security innovation, 4.The Establishment of Military Security Convergence Interface Management System in accordance with the Fourth Industrial Revolution, 5. Cooperation in the transition from technology engineering to social technology, 6. Establishing a military security governance system in the military, 7. Specifying confidential military digital data We look forward to providing useful information so that the results of this study can help develop the military and enhance military confidentiality.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.115-126
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• 2022

The purpose of this study is to try to IPA(Importance-Performance Analysis) by applying text mining approaches to user review data for korea mobile banking applications, and to derive priorities for improvement. User review data on mobile banking applications of korea commercial banks (Kookmin Bank, Shinhan Bank, Woori Bank, Hana Bank), local banks (Gyeongnam Bank, Busan Bank), and Internet banks (Kakao Bank, K-Bank, Toss) that gained from Google playstore were used. And LDA topic modeling, frequency analysis, and sentiment analysis were used to derive key attributes and measure the importance and satisfaction of each attribute. Result, although 'Authorizing service', 'Improvement of Function', 'Login', 'Speed/Connectivity', 'System/Update' and 'Banking Service' are relatively important attributes when users use mobile banking applications, their satisfaction is not at the average level, indicating that improvement is urgent.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.145-155
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• 2022

North Korean defectors are experiencing economic hardship due to the prolonged COVID-19 outbreak. In order to solve this problem, interest in starting a business is increasing. This study targeted the current and previous government, and discovered major topics through text mining of news data on North Korean defector starting a business to examine the start-up support policies according to the keynote of the present regime. Additionally, key factors for successful start-ups were derived through interviews with North Korean defectors who have done them. As a result of the analysis, it is necessary to focus on women and the youth, and to actively expand specialized entrepreneurship education and financial support for North Korean defectors. In addition, it was confirmed that there is a need for a practical and continuous entrepreneurship education program.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.141-148
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• 2021

The mainstream tool for software education for elementary students is Educational Programming Language. It is essential for upper graders to advance from EPL to text based programming language. However, many students experience difficulty in adopting to this change since Python is run in English. Python is an actively used TPL. This study focuses on developing an education program to facilitate learning Python for Korean speaking students. We have extracted the necessary reserved words needed for data analysis in Python. Then we replaced the extracted words into Korean terms that could be understood in elementary level. The replaced terms were matched on one-to-one correspondence with reserved words used in Python. This devised program would assist students in experiencing data analysis with Python. We expect that this education program will be applied effectively as a basic resource to learn TPL.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.439-441
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• 2023

National park is one of the important types of protected area management systems established by IUCN and a management model for effective conservation and sustainable use of natural and cultural heritage in countries around the world, and it assumes important roles in conservation, scientific research, education, recreation and driving community development. This study takes Liaohe National Park in China, a typical representative of global coastal wetlands, as a case study, and uses python technology to collect travelogues and reviews of visitors from Mafengwo.com, Ctrip.com, Go.com, Meituan.com and Dianping.com as a source, and the text spans from 2015 to 2022. The results show that wildlife resources, natural landscape with river and sea, wetland ecology and fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park. However, there is still much room for improvement in terms of supporting services and facilities, public education and tourists' experience and participation in Liaohe National Park. In this paper, we use python data visualization technology to study the public perception of wetland wildlife as the theme, and grasp the satisfaction, spatial distribution, activity content and emotional tendency of the public in the process of wetland wildlife as the theme, so as to better promote the Liaohe National Park to better carry out the public experience while strictly adhering to ecological protection, and to provide the Liaohe National Park with a better opportunity to This will provide scientific basis for the Liaohe National Park to play a better role in ecological civilization construction and education of ecological civilization awareness.

• Informatization Policy
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• v.30 no.4
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• pp.89-112
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• 2023

Traffic safety policies have been established and carried out every five years according to the Traffic Safety Act. In addition to policies that are planned and carried out in the long run, there are also policies established to prevent the recurrence of various social issues and accidents. Citizens' participation in administrative affairs has recently seized the spotlight, and has become an efficient means of realizing administrative democracy. Based on big data analysis, this study aims to present how the "Kim Min-sik Case," which recently brought to the fore a social issue of strengthening laws on child school zones, has realized administrative democracy and contributed to legislation due to the emergence of the online platform called "national petition." Policy changes according to the cycle of issues are divided according to time series classification and what contents are devised in each section through text mining analysis. In this regard, the results of this study are expected to provide useful theoretical and practical implications for researchers and policymakers by presenting policy implications that it is important to prepare practical and realistic alternatives in solving policy problems.

• Journal of dental hygiene science
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• v.24 no.1
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• pp.9-21
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• 2024

Background: The purpose of this study was to utilize text network analysis and topic modeling to identify interconnected relationships among keywords present in patent information related to oral health, and subsequently extract latent topics and visualize them. By examining key keywords and specific subjects, this study sought to comprehend the technological trends in oral health-related innovations. Furthermore, it aims to serve as foundational material, suggesting directions for technological advancement in dentistry and dental hygiene. Methods: The data utilized in this study consisted of information registered over a 20-year period until July 31st, 2023, obtained from the patent information retrieval service, KIPRIS. A total of 6,865 patent titles related to keywords, such as "dentistry," "teeth," and "oral health," were collected through the searches. The research tools included a custom-designed program coded specifically for the research objectives based on Python 3.10. This program was used for keyword frequency analysis, semantic network analysis, and implementation of Latent Dirichlet Allocation for topic modeling. Results: Upon analyzing the centrality of connections among the top 50 frequently occurring words, "method," "tooth," and "manufacturing" displayed the highest centrality, while "active ingredient" had the lowest. Regarding topic modeling outcomes, the "implant" topic constituted the largest share at 22.0%, while topics concerning "devices and materials for oral health" and "toothbrushes and oral care" exhibited the lowest proportions at 5.5% each. Conclusion: Technologies concerning methods and implants are continually being researched in patents related to oral health, while there is comparatively less technological development in devices and materials for oral health. This study is expected to be a valuable resource for uncovering potential themes from a large volume of patent titles and suggesting research directions.

• The Journal of Korean Obstetrics and Gynecology
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• v.37 no.3
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• pp.63-84
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• 2024

Objectives: This study aims to understand the stress patterns and coping behaviors of women with infertility and to improve existing infertility stress assessment tools to develop a tool suited for Korean society. Methods: The study involved 10 women diagnosed with primary or secondary infertility. Data were collected through surveys and in-depth interviews. Participants were recruited voluntarily, and snowball sampling was used for additional recruitment. Data collection occurred from September 2023 to April 2024. Data analysis included Spearman's rank correlation, Mann-Whitney U test, and Kruskal-Wallis test. Interview results were analyzed using text mining and network analysis with Python 3.12. Results: There was a significant correlation between IVF/ICSI treatment and resilience scores, with non-IVF/ICSI groups showing higher resilience scores. Existing infertility stress assessment tools were generally useful but had limitations, such as discomfort with religious expressions and fixed gender roles, as well as issues with the number of items and response scales. Text mining of interview responses revealed key stress-related keywords including worry, depression, burden, pregnancy outcome, and health. Main stressors included uncertainty about pregnancy outcomes, physical discomfort during treatments, economic burdens, and emotional reactions from family and social relationships. Conclusions: This study identified the stress patterns of women with infertility through interviews. It showed the need for a new assessment tool to evaluate and support the complex stressors experienced by these women. Developing a comprehensive tool is essential for better understanding and managing the various stress factors faced by infertile women.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.77-84
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• 2024

In this paper, we design and implement an online exhibition application based on an Android platform that can showcase the artistic works of disabled artists. This application considers user convenience for disabled artists, particularly providing STT(Speech-to-Text) and TTS(Text-to-Speech) features for visually and hearing impaired individuals. Additionally, for the exhibition of works by disabled artists, the application implements disability certification during registration using disability certificates and registration numbers, ensuring that only authenticated disabled artists can exhibit their works. The database storing personal information of disabled artists and information about art pieces is implemented using MySQL. The server module utilizes RestAPI to transmit data in Json format. To address the large data size of art piece information, it is stored using Firebase Storage, eliminating data size limitations on the server. This application can alleviate issues such as a lack of exhibition space for disabled artists and a lack of communication with the general public.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.311-321
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• 2024

This study comprehensively analyzed the perceptions of Chinese consumers who have and have not purchased Samsung smartphones, based on data from the social media platform Weibo. Various big data analysis techniques were used, including text mining, frequency analysis, centrality analysis, semantic network analysis, and CONCOR analysis. The results indicate that positive perceptions of Samsung smartphones include aspects such as design aesthetics, camera functionality, AI features, screen quality, specifications, and performance, and their status as a premium brand. On the other hand, negative perceptions include issues with pricing, a yellow tint in photos, slow charging speeds, and safety concerns. These findings will provide a crucial basis for making significant improvements in Samsung's market strategy in China.