• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.47-54
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• 2019

We examined previous studies of the correlation analysis of heart rate variability as a method to reduce the stress caused by outside noise during driving, and we investigated whether there are electrocardiographic changes when drivers play music, which provides a stable sound source amid the noise. Because the number of cars increases every year, drivers and passengers show an increase in stress caused by outside noise. The stress from outside noise while a person is driving can cause several disorders, such as anxiety, immunosuppression, depression, and heart disease. Subjects in this study operated a vehicle simulator to reduce the stress from outside noise and were given different auditory stimuli, and we studied the drivers' responses to the stimuli. Repeated-measures analysis of variance revealed a significant differences between subjects exposed to different auditory stimuli (ρ < 0.05). Through post hoc analyses, we examined these differences. We found significant differences between factor 1 (stability) and factor 2 (simulation driving), between factor 1 (stability) and factor 3 (driving + police siren), and between factor 1 (stability) and factor 4 (driving + police siren + music). In addition, the factor that produced the highest level of sympathetic nervous system activity was factor 4 (driving + police siren + music), followed by factor 3 (driving + police siren), factor 2 (driving), and factor 1 (stability). In conclusion, even when a police siren was heard during driving, there were no significant differences on electrocardiograms (ECGs). In addition, even when the siren was heard over the music, there was no difference on the ECGs (ρ < 0.01). In future studies, investigators should determine which types of music help stabilize the heart rate during driving.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.103-108
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• 2019

Although the Korean Armistice Agreement resulted in complete cessation of the hostilities of the Korean War, it also initiated a rule that obligates Korean men to compulsorily participate in military service. However, psychological factors such as anxiety, stress, and negative perception among the young participants joining the military lead to inefficiency in training and performance. Several types of media production companies have been tasked to deal with this problem. However, their tools have not adequately addressed the root causes of the psychological distress. Stress rates are still high among the youth. This paper offers a method of reducing anxiety and psychological stress among those joining the military. It also aims to help improve concentration and cope with the pessimism of military life. The study measured the increase in concentration as well as the changing rate of anxiety and psychological stress in the participants of two experimental groups. A significant result with t = 2.487, p = 0.042, and 95% confidence levels was revealed by analyzing the data pertaining to the experimental group that was directly exposed to the sensorimotor rhythm (SMR) wave implying that this brain wave alleviated feelings of anxiety and psychological stress. The method proposed in this paper can thus be applied to mitigate stress in soldiers and help them with their personal and military lives. Further interdisciplinary experiments examining the associations between the electrocardiogram and electroencephalogram are required.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.25 no.5
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• pp.399-405
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• 1992

Using $MnO_2-coated$ fiber extraction and gamma counting techniques, we measured the distributions of $^{226}Ra$\;and\;^{228}Ra$ in the surface waters at 14 stations of East Sea of Korea in September, 1988. The concentrations of $^{226}Ra$\;and\;^{228}Ra$ in the surface waters ranged $70-110\;dpm/10^3l$ and 102=232 $dpm/10^3l$, respectively. In general, the concentrations of Ra isotopes were shown higher in the coastal and southern stations than those in the outer and northern stations in our observed area. Also, the concentrations of Ra isotopes in the study area were significantly higher than values in the other area of the East Sea and Kuroshio surface water, but much lower than the concentrations in the surface water of Yellow Sea reported previously. There was an inverse relationship between the $^{226}Ra/^{228}Ra$ ratio and salinity in the surface waters of Kuroshio, Yellow Sea and East Sea of Korea. This indicates that the continental shelf waters such as Yellow Sea and East China Sea are main source of Ra isotopes in surface waters of the East Sea of Korea.

• Informatization Policy
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• v.19 no.4
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• pp.63-82
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• 2012

The world's best level of ICT(Information, Communication and Technology) infrastructure has experienced the world's worst level of ICT accident in Korea. The number of major accidents of privacy invasion has been three times larger than the total number of Internet user of Korea. The cause of the severe accident was due to big data environment. As a result, big data environment has become an important policy agenda. This paper has conducted analyzing the accident case of data spill to study policy issues for ICT security from a social science perspective focusing on risk. The results from case analysis are as follows. First, ICT risk can be categorized 'severe, strong, intensive and individual'from the level of both probability and impact. Second, strategy of risk management can be designated 'avoid, transfer, mitigate, accept' by understanding their own culture type of relative group such as 'hierarchy, egalitarianism, fatalism and individualism'. Third, personal data has contained characteristics of big data such like 'volume, velocity, variety' for each risk situation. Therefore, government needs to establish a standing organization responsible for ICT risk policy and management in a new big data era. And the policy for ICT risk management needs to balance in considering 'technology, norms, laws, and market'in big data era.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.2
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• pp.223-266
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• 2020

Massively Multiplayer Online Role-Playing Games (MMORPGs) are played by millions of people around the world. Within MMORPGs, players explore, solve mysteries, craft items, battle against dungeon or raid bosses, or compete against other players, all while using a variety of information and information behaviors. Role-players in MMORPGs develop identities and engage in interactive storytelling with other role-players as their characters. An ethnographic approach combining overt participant observation and engagement, semi-structured interviews, and artifact collection was used to explore and describe the social information behaviors of role-players through the lens of the theory of information worlds. The social types evident in the role-playing community in WildStar, a science fantasy-themed MMORPG, are closely interrelated to and differentiated by social norms and information values that dictate acceptable characters, stories, character actions, and appropriate lore sources as well as how to role-play without violating the boundary between in- and out-of-character information worlds. Role-players maintained the in-character and out-of-character boundary using a set of specific information behaviors to enable engaging and immersive role-playing experiences. Implications of the findings for the theory of information worlds as well as potential applications of role-playing and MMORPGs are also discussed.

• Science of Emotion and Sensibility
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• v.23 no.4
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• pp.33-40
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• 2020

As the number of automobile registrations increases and luxury expectations grow, consumers are increasingly interested in indoor environment of vehicles. Therefore, manufacturers have an increasing interest in improving the indoor comfort as well as automobile performance. Research on indoor automobile comfort can help manufacturers increase driver satisfaction and reduce driver stress and discomfort, thereby reducing the risk of traffic accidents. Using electroencephalogram (EEG) measurements, we investigated the change in comfort and comfortable temperature according to the ventilating seat temperature change for both men and women. Results showed that the sensation of comfort was statistically significantly higher at 25℃ than at 28℃. Secondly, there was no statistically significant difference in temperature-based comfort feeling between male and female subjects. In the future, if the correlation between the driver's comfort feeling and the change in ventilating seat temperature is analyzed, it is possible to reduce traffic accidents caused by human error and reduce the electric energy consumption of the automobile.

• Cross-Cultural Studies
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• v.53
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• pp.1-24
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• 2018

This following research is a study on the use of French and de-locality in the modern Korean poet Lee Sang's poetry (1910-1937). His hometown was Kyung Sung, Seoul. He mainly wrote his works in Korean, Chinese character, and Japanese, using the language of education and his native language at that time. So then, what was the spirit that he wanted to embody through use of French words? By using words like "ESQUISSE", "AMOUREUSE", Sang's French was not a one-time use of foreign words intended to amuse, but to him the words were as meticulously woven as his intentions. French words were harmonized with other non-poetic symbols such as "${\Box}$, ${\triangle}$, ${\nabla}$", and described as a type of typographical hieroglyphics. Instead of his mother-tongue language, French was applied as a surrealistic vocabulary that implemented the moral of infinite freedom and imagination, and expressed something new or extrasensory. Subsequently, the de-localized French (words) in his poetry can be seen as poetic words to implement a "new spirit", proposed by western avant-garde artists. Analysis of French in his poetry, showed a sense of yearning for the scientific civilization, calling for his sense of defeat and escape from the colonized inferior native land. Most of all, comparing his pursuit of western civilization and avant-garde art to French used in his poetry, is regarded as world-oriented poetry intended to implement the new tendency of the "the locomotive of modernity," transcending the territory of the native country.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.6
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• pp.1161-1175
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• 2018

An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.3
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• pp.419-432
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• 2019

Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

• The Journal of Korean Philosophical History
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• no.43
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• pp.171-202
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• 2014

The purpose of this study was to explore the changes of right people for society on the period from liberation in 1945 to democracy in the late 1990s. Those periods classified into 'Transitional Era', Industrial Era and 'Democracy Era' based on historical events significantly influenced the changes of value system of Korean people or Korean society. In this study, not only main values and right people for society but also the way of changing value system in those periods were suggested by investigating factors of politics, economy and society. The results are as follows : Main values and right people for society on each period were as follows : In Transitional Era, main values were manners and social norms, and right people for this period were practical intellectuals pursuing the principle of action-oriented truth-and- knowledge-seeking. In Industrial Era, main values were sincerity, diligence, self-help and collaboration, and right people for this period were skilled man having occupational ability which was essential for economic development. In Democracy Era, main values were sincerity, participation, equality and coexistence, and right people for this period were scientific talented man who can make the survival of the country and prosperity in the crisis of the slowdown in economic growth A discussion of right people for each era, proposed that emphasis on the pragmatic and practical type of person in those days required, On the other hand, emphasized that were considered important of Community value.