• Journal of the Semiconductor & Display Technology
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• v.22 no.3
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• pp.112-118
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• 2023

As technology advances, the need for enhanced preparedness against cyber-attacks becomes an increasingly critical problem. Therefore, it is imperative to consider various circumstances and to prepare for cyber-attack strategic technology. This paper proposes a method to solve network security problems by applying reinforcement learning to cyber-security. In general, traditional static cyber-security methods have difficulty effectively responding to modern dynamic attack patterns. To address this, we implement cyber-attack scenarios such as 'Tiny Alpha' and 'Small Alpha' and evaluate the performance of various reinforcement learning methods using Network Attack Simulator, which is a cyber-attack simulation environment based on the gymnasium (formerly Open AI gym) interface. In addition, we experimented with different RL algorithms such as value-based methods (Q-Learning, Deep-Q-Network, and Double Deep-Q-Network) and policy-based methods (Actor-Critic). As a result, we observed that value-based methods with discrete action spaces consistently outperformed policy-based methods with continuous action spaces, demonstrating a performance difference ranging from a minimum of 20.9% to a maximum of 53.2%. This result shows that the scheme not only suggests opportunities for enhancing cybersecurity strategies, but also indicates potential applications in cyber-security education and system validation across a large number of domains such as military, government, and corporate sectors.

• Journal of the Korean Society for information Management
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• v.41 no.3
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• pp.145-169
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• 2024

This study examined university library services for students, including international students, and the AI-based information services provided by libraries. Additionally, the standards of Korean language education for international students were investigated. Based on the analysis of library services and these standards, a book recommendation system for learning Korean was developed using ChatGPT. The recommendation results from three training datasets were evaluated for recommendation precision. The results of the chatbot's book recommendations based on the 13 test questions were evaluated by recommendation precision. The comparison of the recommendation precision showed that the chatbot using the combined dataset was more successful in recommending all relevant books compared to the individual datasets. This study serves as an example of an effective approach to utilizing artificial intelligence technology for user services in university libraries.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.11
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• pp.1399-1408
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• 2007

This study was conducted to compare health and nutritional status of 45 home-living elderly people receiving free Meals on Wheels (MOW) (13 men, 32 women) and 81 low income class elderly people receiving free congregate meals (CM) (10 men, 71 women) served in Seoul. Data were obtained from questionnaires, anthropometry and interviews for the 24-hour dietary recall methods. There were no significant differences between the two groups in age and body mass index. Education level, type of housing, family type and income of the two groups also were not significantly different. In MOW, frequencies of exercise were lower while the prevalence of stroke, respiratory disease and loneliness were higher, compared with the CM. The scores of ADL, IADL and food habit of MOW were lower than those of CM. The average daily nutritional intake of both MOW and CM were as a whole under the DRI for Koreans. Energy and macro-nutrient intakes of MOW were tended to be lower than CM (except protein intakes for female). Ca, K, vitamin A, vitamin $B_1$, vitamin $B_2$, vitamin C and folate intakes of MOW were less than 50% of DRI. Percentages of subjects consuming energy less than 75% of EER and 4 nutrients intakes less than EAR were higher in MOW (42.2%) than in CM (1.2%). Our results indicated that dietary nutritional status of MOW was very poor, especially in the case of female elderly groups. For the welfare of the home-living elderly people receiving free MOW, meal service programs should be improved in quality of diet by national supports.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.2
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• pp.133-155
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• 2022

The purpose of this study was to develop the indicatives for the analysis of the effects of Gyeonggi-do Book Sharing Project on pre-schoolers of supporter' reading care and thereby, suggest some data useful to the establishment of a reading culture promotion policy in Gyeonggi-do. Preceding studies and cases were reviewed to analyze the effects of the book-sharing project on pre-schoolers of supporter' reading care and thereby, develop some measurement indicatives, and thus, the indicatives were verified by professionals using the Delphi technique. Then, supporter of 3~5 year-old pre-schoolers were sampled from 7 cities and counties in Gyeonggi-do (Pocheon-si, Yangpyeong-gun, Yeoju-si, Dongducheon-si, Gapyeong-gun, Yeoncheon-gun and Yangju-si) to be divided into control and test groups and thereby, their reading care effect indicatives were compared before and after the test. The theoretical background is theory of family literacy, emergent literacy and parenting efficacy. As a result of developing the indicatives for analysis of pre-schoolers of supporter's reading care effects and comparing them for the sample pre-schoolers of supporter, before and after the test, the book-sharing project was found effective in improving reading care. The most difficult problem in pre-schoolers' earlier reading education involves acquisition of reading habit. So, it is deemed necessary to operate a regular book sharing project involving public organization and homes. As a result of developing the indicatives and analyzing the effects of the book-sharing project, it was confirmed that the project would serve to improve pre-schoolers of support's reading care and therefore, this study seems to provide some ground for the operation of a sustainable book-sharing project to narrow the education divide and promote a book reading culture in Gyeonggi-do.

• Communications of Mathematical Education
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• v.37 no.1
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• pp.65-84
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• 2023

The method of Lagrange multipliers, one of the most fundamental algorithms for solving equality constrained optimization problems, has been widely used in basic mathematics for artificial intelligence (AI), linear algebra, optimization theory, and control theory. This method is an important tool that connects calculus and linear algebra. It is actively used in artificial intelligence algorithms including principal component analysis (PCA). Therefore, it is desired that instructors motivate students who first encounter this method in college calculus. In this paper, we provide an integrated perspective for instructors to teach the method of Lagrange multipliers effectively. First, we provide visualization materials and Python-based code, helping to understand the principle of this method. Second, we give a full explanation on the relation between Lagrange multiplier and eigenvalues of a matrix. Third, we give the proof of the first-order optimality condition, which is a fundamental of the method of Lagrange multipliers, and briefly introduce the generalized version of it in optimization. Finally, we give an example of PCA analysis on a real data. These materials can be utilized in class for teaching of the method of Lagrange multipliers.

• Journal of Microbiology and Biotechnology
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• v.26 no.9
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• pp.1570-1578
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• 2016

Commercial application of laccase is often hampered by insufficient enzyme stocks, with very low yields obtained from natural sources. This study aimed to improve laccase production by mutation of a Coriolopsis gallica strain and to determine the biological properties of the mutant. The high-yield laccase strain C. gallica TCK was treated with N-methyl-N-nitro-N-nitrosoguanidine and ultraviolet light. Among the mutants isolated, T906 was found to be a high-production strain of laccases. The mutant strain T906 was stabilized via dozens of passages, and the selected ones were further processed for optimization of metallic ion, inducers, and nutritional requirements, which resulted in the optimized liquid fermentation medium MF9. The incubation temperature and pH were optimized to be 30℃ and 4.5, respectively. The mutant strain T906 showed 3-times higher laccase activity than the original strain TCK under optimized conditions, and the maximum laccase production (303 U/ml) was accomplished after 13 days. The extracellular laccase isoenzyme 1 was purified and characterized from the two strains, respectively, and their cDNA sequence was determined. Of note, the laccase isoenzyme 1 transcription levels were overtly increased in T906 mycelia compared with values obtained for strain TCK. These findings provide a basis for C. gallica modification for the production of high laccase amounts.

• Korean Journal of Food Science and Technology
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• v.25 no.6
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• pp.596-601
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• 1993

Changes of textural properties of garlic pickle was studied during aging at room temperature with or without skin or addition of $CaCl_{2}$. The alcohol insoluble solids(AIS) was gradually decreased by aging. The decreasing rate of AIS was less for those of unpeeled and $CaCl_{2}-added$ pickles. In pectic substances, HSP was a little decreased and HXSP was significantly increased and HWSP and total pectin was changed little. The $CaCl_{2}-added$ pickles showed higher HSP and lower HXSP than those of $CaCl_{2}-not$ added pickles. The hardness of unpeeled pickles was slightly higher than peeled pickles and of $CaCl_{2}-added$ pickles was higher than $CaCl_{2}-not$ added pickles and decreased generally during aging for all samples.

• Advanced Industrial SCIence
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• v.2 no.2
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• pp.25-30
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• 2023

The purpose of this study is to empirically analyze the impact of corporate innovation activities on corporate innovation performance using data from companies participating in the smart farm project. A company's innovation activities were divided into planning capacity, R&D capacity, and commercialization capacity, and the impact of each innovation activity on the company's sales and patent creation was estimated. The moderating effect was also analyzed. Regression analysis was conducted as a research method, and as a result of the analysis, it was found that planning capacity, R&D capacity, and commercialization capacity related to innovation within a company have an impact on corporate performance creation. appeared to be In order to increase the business performance of technology commercialization, it was confirmed that planning and R&D capabilities as well as governmental technology policy support are needed.

• Informatization Policy
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• v.24 no.2
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• pp.3-19
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• 2017

This article examines the issues around the coming age of artificial intelligence and the 4th industrial revolution. First, this articles addresses the changes we will encounter with the advance of innovative technologies. Changes in future jobs, education, travel and other lifestyle issues are discussed and responses of a few countries(governments) regarding preparations for such future changes are illustrated. To sum up, three dimensions - sustainable technology development, legal and policy-related establishments, and consensus building among the public - are identified as areas to focus on for the future. Particularly, it is advised that the Korean government apply and utilize new technologies to solve public issues and problems, particularly the newly-emerging "urban renewal" and "smart city" issues.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.565-574
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• 2024

ChatGPT is causing significant reverberations across all sectors of our society, and this holds true for the field of education as well. However, scholarly and societal discussions regarding ChatGPT in academic settings have primarily focused on issues such as plagiarism, with relatively limited research on the positive effects of utilizing generative AI. Additionally, amidst the educational crisis of the post-COVID era, there is a growing recognition of the need to enhance academic engagement. In light of these concerns, we investigated how academic engagement varies based on students' levels of ChatGPT literacy and examined whether students' academic confidence and perceived academic competence serve as mediators between ChatGPT literacy and academic engagement. An analysis using SPSS was conducted on the data collected from 406 college students. The results showed that ChatGPT literacy had a positive effect on academic engagement, and academic confidence mediated the relationship between ChatGPT literacy and academic engagement. Also, when the mediating effect of perceived academic competence was significant only when it was serially mediated. Based on these findings, we discussed the theoretical contributions of identifying the theoretical mechanism between ChatGPT literacy and academic engagement. In addition, practical implications regarding the importance of ChatGPT literacy education were described.