• Journal of Digital Convergence
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• v.18 no.12
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• pp.363-375
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• 2020

This study attempted to verify the structural model of the influence of parental intimacy, parental supervision, peer pressure, and TV alcohol advertising on drinking behavior for adolescents. It was conducted through a self-written questionnaire from May 1 to 28, 2019, targeting 602 students in grades 1 to 3 of 8 middle schools in G city. Results First, The direct effect on drinking behavior was in the order of peer pressure and TV alcohol advertisement, and they explained the degree of drinking behavior by 14.4%. second, Parental intimacy has an indirect effect on peer pressure and drinking behavior through TV alcohol advertising. Parental supervision has an indirect effect on drinking alcohol through TV alcohol advertisements. In multiple groups, there is a difference between the groups in the parental supervision and peer pressure, and the parental supervision and the channel coefficient of TV alcohol advertisement. In order to reduce drinking behavior, a realistic light that can cope with peer pressure is needed.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.552-560
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• 2021

With the recent development of the art distribution system, interest in art investment is increasing rather than seeing art as an object of aesthetic utility. Unlike stocks and bonds, the price of artworks has a heterogeneous characteristic that is determined by reflecting both objective and subjective factors, so the uncertainty in price prediction is high. In this study, we used LSTM Recurrent Neural Network deep learning model to predict the auction winning price by inputting the artist, physical and sales charateristics of the Korean artist. According to the result, the RMSE value, which explains the difference between the predicted and actual price by model, was 0.064. Painter Lee Dae Won had the highest predictive power, and Lee Joong Seop had the lowest. The results suggest the art market becomes more active as investment goods and demand for auction winning price increases.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.251-283
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• 2021

As a national library, the National Library of Korea is responsible for collection, provision, and preservation of national knowledge, information, and cultural heritage. This study aims to develop performance indicators as a rational tool to improve management of the National Library of Korea for its continuous growth and development. The performance indicators are based on the BSC(Balanced Scorecard), which is useful for linking the organization's strategies in response to changes in the library environment with performance measurement. As a result, 4 BSC-based perspectives (① Resources, Access, Infrastructure Perspective, ② Usage Perspective, ③ Efficiency Perspective, ④ Potential and Growth Perspective), 19 key success factors, and 71 performance indicators were developed for the National Library of Korea. Also, differences in perception of performance indicators by ranks and job duties at the National Library of Korea were analyzed.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.345-352
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• 2021

Based on the exploration of the reasons why Shunji Iwai is called "Wong Kar-wai of Japan", this paper compared and studied the image style of two directors films, and explored the theoretical characteristics of their similarities and differences, so as to provide inspiration for the development of Chinese national films. This is the purpose of this paper. Through the search of literature, cultural background analysis of the two directors, film style comparison and film aesthetics comparative analysis and other research methods, this paper made a more in-depth theoretical research on the films of the two directors. It was found that the films of the two directors showed the characteristics of narrative abstraction and image beautification, but there were also some differences in the choice of narrative subjects. The research of this paper provided a new train of thought and starting point for us to study and explore the films of two directors, and pointed out a new direction for us to explore the trend of national films.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.143-150
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• 2021

Prior research on consumer psychology has primarily focused on when and why consumers exhibit impulsive behavior, such as impulse buying. This study focuses on physical stimulation during an impulse purchase as another meaningful factor. Specifically, this study examines whether thirst depletes cognitive resources. The results of two experiments show that impulse purchase tendency increases when consumers are thirsty (Exp. 1), and that the loss of self-control is based on the relationship between thirst and impulse purchase tendency (Exp. 2). These findings suggest that physical stimulation, such as thirst, may be a useful indicator of impulsive behavior in consumers.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.941-948
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• 2021

This study investigated the differences between active and inactive TV watching groups, in terms of residential characteristics, of class-oriented drama viewing rate. We compared Flow and Social Comparison Theories to explain the relationship between class-oriented contents in the drama and viewing rate. We collected 110,000 TV viewers data of 4 class-oriented and the other 4 dramas, aired between Feb. 2016 and March 2019, through D-Live local cable service provider. Controlling gender ratio and income level which may affect viewing rate, we found that class-oriented content significantly and positively affects viewing rate in active watching group while the same content significantly and negatively affects viewing rate in inactive watching group. These results imply that Flow and Social Comparison Theories may apply in opposite directions in different watching groups.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.62-70
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• 2022

This study investigates the temporal structure and movement of floating people near university areas in Daegu metropolitan city, South Korea, before and after Covid-19. In order to determine Daegu's position, the current study compares Daegu and Seoul. The floating population is used as an index to reveal people's various activities in the area known as the local business district, which surrounds the university campus. The information was provided by mobile phone manufacturers. A municipal authority managed a public website where mobile data was made available. Several statistical and visualization techniques were used after the data pre-processing steps. As a result, the floating population fluctuation patterns in both cities in the first half of 2019 and 2020 were comparable. When the Covid-19 diffusion rate in Daegu stabilized in the second half of 2020, the floating population in Daegu increased slightly over the previous year, while the population in Seoul decreased due to the second wave of Covid-19.

• Journal of Naturopathy
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• v.10 no.1
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• pp.33-41
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• 2021

Purposes: We studied whether forest bathing is effective in improving the stress of the human body. Therefore, we investigated changes in pulse rate, stress index, and autonomic nervous system after 2 hours of forest bathing on Jeju Samdasu Forest Methods : The study was conducted before and after forest bathing through heart rate variability and questionnaire. Results: After forest bathing, the average pulse rate of the experimental group was significantly increased. The stress index significantly decreased in the post-test in the experimental group. The cumulative stress, sympathetic activity (LF), parasympathetic activity (HF) change, and LF/HF ratio were slightly different from those of post-test in the experimental group, but were not statistically significant. In the survey of job stress average index and state characteristic anxiety index through questionnaire, it decreased significantly after forest bathing (p<.001). Conclusions: The Samdasu forest bathing has been proven effective in enhancing pulse and reducing stress, so it is evaluated that forest bathing is effective in promoting health.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.43-51
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• 2022

The purpose of this study is to provide basic information necessary for the establishment of mobile service marketing strategies, educational service development, and engineering education for Generation Z by analyzing the utilitization of various applications by Gen Z. To this end, 177 essays on mobile service usage experience were collected, major topics were analyzed using topic modeling, and these were visualized through word cloud analysis. As a result of the study, the main topics were related to 'transportation' such as movement and public transportation, 'personal management' such as schedule management, financial management, food management, 'transaction' such as checkout, meeting, purchase, 'leisure' such as eating out, travel, study, culture. Additionally, words such as time, thought, people, life, bus, information, confirmation, payment, KakaoTalk, and so on were found to have a high of frequency of use. Also, there was found to be a difference between topics by college. This study is meaningful in that it collected essays, which are unstructured data, and analyzed them through topic modeling.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.359-364
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• 2021

Recently, research on predictive systems using deep learning and machine learning of artificial intelligence is being actively conducted. Due to the development of artificial intelligence, the role of the investment manager is being replaced by artificial intelligence, and due to the higher rate of return than the investment manager, algorithmic trading using artificial intelligence is becoming more common. Algorithmic trading excludes human emotions and trades mechanically according to conditions, so it comes out higher than human trading yields when approached in the long term. The deep learning technique of artificial intelligence learns past time series data and predicts the future, so it learns like a human and can respond to changing strategies. In particular, the LSTM technique is used to predict the future by increasing the weight of recent data by remembering or forgetting part of past data. fbprophet, an artificial intelligence algorithm recently developed by Facebook, boasts high prediction accuracy and is used to predict stock prices and cryptocurrency prices. Therefore, this study intends to establish a sound investment culture by providing a new algorithm for automatic cryptocurrency trading by analyzing the actual value and difference using fbprophet and presenting conditions for accurate prediction.