• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.687-692
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• 2023

We analyze the accuracy of emotion analysis of natural language processing deep learning model and propose to use it for emotional content development. After looking at the outline of the GPT-3 model, about 6,000 pieces of dialogue data provided by Aihub were input to 9 emotion categories: 'joy', 'sadness', 'fear', 'anger', 'disgust', and 'surprise'. ', 'interest', 'boredom', and 'pain'. Performance evaluation was conducted using the evaluation indices of accuracy, precision, recall, and F1-score, which are evaluation methods for natural language processing models. As a result of the emotion analysis, the accuracy was over 91%, and in the case of precision, 'fear' and 'pain' showed low values. In the case of reproducibility, a low value was shown in negative emotions, and in the case of 'disgust' in particular, an error appeared due to the lack of data. In the case of previous studies, emotion analysis was mainly used only for polarity analysis divided into positive, negative, and neutral, and there was a limitation in that it was used only in the feedback stage due to its nature. We expand emotion analysis into 9 categories and suggest its use in the development of emotional content considering it from the planning stage. It is expected that more accurate results can be obtained if emotion analysis is performed by additionally collecting more diverse daily conversations through follow-up research.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.401-408
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• 2023

The purpose of this study is to design textbook metadata as a basic task for building a textbook database. To this end, reading textbooks were defined as a category of textbooks, and a metadata development methodology was established through previous research. In order to ensure that bibliographically essential elements are not omitted, the catalog description elements of institutions that collect, accumulate, and service textbooks such as the National Library of Korea were investigated. The elements of Dublin Core, MODS, and KEM were mapped to derive elements suitable for describing textbooks. Finally, a set of textbook metadata elements consisting of 14 elements in three categories - bibliography, context, and textbook characteristics were presented by adding publication type, genre, and curriculum period elements. The 14 elements are titles, authors, publications, formats, identification sign, languages, locations, subject names, annotation, genres, table of contents, subjects, curriculum period, and curriculum information. In this study, we contributed to this field by discussing how to organize textbook resources with national knowledge resources, and in future studies, we proposed to evaluate usability by applying metadata elements to actual textbooks and revise and supplement them according to the evaluation results.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.457-465
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• 2023

This study was carried out in order to determine the essential structure and meaning of sexual harassment experienced by nurses, prepare a systematic mediation measure that could prevent sexual harassment. In this study, Giorgi's phenomenological research method and an in-depth interview were used, and data was collected from seven participants in general hospital nurses who had experienced sexual harassment from August 6, 2022 to March 25, 2023. The main question used in the in-depth interview was "What does sexual harassment mean to you?". The transcribed data was analyzed according to the method presented by Giorgi through the stages including reading of the data, breaking of the data into some kind of parts, organization and expression of the data from a disciplinary perspective and synthesis or summary of the data for purposes of communication to the scholarly community. As a result, 159 meaning units, 37 essential psychological meanings, 13 sub-constituents, 5 constituents were drawn. The five components include 'exposed to the front line of sexual harassment', 'struggling alone', 'feeling abandoned from the organization', 'finding a way to get through together' and 'feeling changing'. Based on the above results, it is expected to prevent sexual harassment of nurses and provide basic data useful for preparing systematic intervention measures for them and improving the system.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.39-49
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• 2023

This study data were collected from 217 nursing students in J city to analyze major satisfaction and awareness of the importance of practice and performance of nursing students' practice at the public health center, and to identify improvement plans for the practice contents of the health center. The collected data was analyzed using SPSS WIN 25.0, and the research results showed that there was a positive correlation (r=.55, p<.001) between major satisfaction and public health center clinical practice performance, and the sub-factors of performance It showed positive correlation with all (r=.41~.54, p<.001). In particular, among the sub-factors, Internal growth through practice and Correlation with the actual application of theory were highly correlated (r=.54~.56, p<.001). In order to improve nursing students' satisfaction with their major, theoretical study should be preceded, and through area analysis, in order to obtain satisfaction through identity and internal growth of nursing students while practicing health center practice, practice instructors during health center practice Establish various networks, do our best to communicate smoothly with nursing students, and strive to present opinions through meetings with practice institutions before and after practice to improve the community health center practice environment. Also, nursing college students In order for the public health center practice to be carried out smoothly, practice guidance instructors drew improvement points that nursing college students need prior learning related to practice before practicing health center practice.

• Industry Promotion Research
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• v.8 no.3
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• pp.37-50
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• 2023

The purpose of this study is to study the impact of knowledge sharing behavior, self-efficacy, team collaboration, and job autonomy on organizational innovation among the smart work characteristic factors for members of small and medium-sized venture companies, and to study the differences according to generation/digital literacy level. It is to provide implications so that it can be reflected in the organizational innovation of venture companies. As a result of the analysis, it was found that knowledge sharing behavior and team collaboration had an effect on organizational innovation, while self-efficacy and job autonomy did not affect organizational innovation. In addition, as a moderating effect, it was confirmed that there were differences in self-efficacy and team collaboration according to the level of digital literacy, and differences in knowledge sharing behavior, self-efficacy, and team collaboration by generation. Therefore, in this study, we identified important influencing factors for organizational innovation according to changes in the smart work environment of small and medium-sized venture companies, and suggested ways to secure corporate competitiveness. It suggests that organizational innovation can be strengthened only by confirming the relationship between organizational innovation and finding ways to develop and utilize differentiated capabilities.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.1
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• pp.21-32
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• 2023

Interrill erosion dominates in forest areas, and the erosion rate in surface-disturbed areas is significantly increased by the development and expansion of rill. In this study, soil erosion experiments using simulated rainfall and inflow were performed to understand the development and the micromorphological changes of rill on steep slopes. The characteristic factors of the micromorphology, such as the rill cross section, rill volume, rill density, rill order, and rill sharpness, were analyzed according to steepness and location (upper or lower) of slope. The head-cut of the simultaneous incised rills by rainfall simulation moved rapidly upslope, and the randomly developed rills expanded deeply and widely with their connection. The rill cross section evolved to downslope gradually increased. The rill volume occupied about 78 % of the sediment volume, confirming that the contribution of the sediment from the rill erosion is greater than that of the interrill erosion. Although the rate of increase in rill order slowed as the slope increased, the total length and density of the rill generally increased. As the slope increased from 15° to 20°, the bed incision of rills became larger than the sidewall expansion, and the rill sharpness increased by 1.6 times. The runoff coefficient on the lower slope decreased by 12.3 % than that on the upper slope. It was evaluated that the subsoil exposures and formation changes by the rill expansion increased the infiltration rate. Although the sediment accompanying the rills generally increased with slope increase, it was directly influenced by the hydraulic velocity of enhanced rill with the local convergence and expansion in the process of the rill evolution.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.443-450
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• 2023

This study is a study to develop a guide for the increasing number of elderly people to use digital finance smoothly. Through previous studies, the definition of the elderly and digital finance was found out, and the elderly support system related to digital finance was reviewed. In the case of the digital financial support system for the elderly, the current status of overseas and domestic situations were compared to derive implications, and cases of senior-friendly digital guides implemented by overseas institutions and private companies in the technical aspect were presented. In order to develop the guide, cases of using digital finance by the elderly in Korea were reviewed through actual measurement, and inconveniences in use and needs for improvement were derived, and supplementary items necessary for the institutional guide for digital finance were presented. Research Results Based on previous studies and case studies and actual measurement results of the elderly, a total of 10 guidelines for digital financial apps for the elderly were presented based on the ISO standards for supporting the elderly. This study is meaningful in that it provided a guide for the smooth use of digital finance by the increasing number of seniors, and it seems necessary to improve the system and apply it to the financial market.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.349-355
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• 2023

This study attempted to investigate the effect of competitive anxiety on injury psychology according to the athletic career of tennis athletes at Chinese universities. To study the method, 208 athletes enrolled in a four-year university (0 university, 0 university) located in A City, Hanam Province, were surveyed for a total of three weeks from the end of January to the beginning of February 2023. To verify the research model, frequency analysis, exploratory factor analysis, reliability analysis, and correlation analysis were conducted using SPSS Statistics 25. And independent sample t-test and one-way ANOVA were conducted to find out the differences in variables according to general characteristics, and multiple regression analysis was conducted to verify hypotheses through the concept of measurement. As a result of the study, first, it was found that there was a significant difference in the athletic career of tennis athletes at West China University. Second, the non-standardized coefficient of competition anxiety was found to have a positive (+) effect on exercise weaponry. Third, the non-standardized coefficient of competition anxiety was found to have a positive (+) effect on anxiety and anxiety. Therefore, it was found that other competitive anxiety in the exercise career had an effect on injury psychology. Since competition anxiety according to the athletic career of tennis athletes at Chinese universities affects injury psychology, it suggests that a psychological program that can control competition anxiety and injury psychology of athletes should be developed and introduced to athletes.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.193-204
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• 2023

In recent years, the concept of influencer marketing has experienced rapid growth in both academia and industry, leading to its emergence as a crucial consideration in the marketing strategies of many businesses. Despite the significance and expansion of the influencer market, however, research on the topic has not kept pace with its growth. Thus, this study seeks to address this gap by empirically analyzing the impact of influencer characteristics on consumer behavior through the coexistence of buyers and providing an empirical contribution to expand the relevant literature. To accomplish this, a survey was conducted with a sample of 400 individuals who had purchased a product through an influencer, and 384 responses were ultimately utilized in the analysis. The results revealed that the attractiveness and empathy of influencers had a positive impact on satisfaction among coexisting buyers, while also having a negative impact on dissatisfaction. In contrast, expertise had no impact on satisfaction, but a positive impact on dissatisfaction. Moreover, satisfaction was found to have a positive impact on brand image and recommendation intention, whereas dissatisfaction had a negative impact on both. Overall, this study adds to the growing body of literature on influencer marketing by providing empirical evidence of the impact of influencer characteristics on consumer behavior, specifically through the lens of coexistence with buyers. These findings hold important implications for businesses looking to develop effective influencer marketing strategies that can enhance their brand image and recommendation intention among consumers.