• Korean journal of communication and information
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• v.79
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• pp.196-225
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• 2016

This study investigated the coverage on the settlement of pro-Japanese Koreans by Dongailbo and Chosunilbo during the U.S. Military Government period. 266 related articles of two newspapers searched by 6 keywords were analyzed quantitatively. And the qualitative analysis on the coverage of related issues were supplemented. Generally two newspapers can be evaluated as passive on the pro-Japanese issues. They said that anti-national activities of that time which might be an obstacle to the establishment of independent nation even more critical than the pro-Japanese activities in the past. In addition they suggested to suspend the settlement of pro-Japanese Koreans after the establishment of Korean Government, because the settlement might cause a big confusion and a vacuum of personnel. On some issues the distinction between two newspapers derived from their political orientation were revealed. Dongailbo represented the standpoint of the rightists fully and Chosunilbo revealed relatively balanced coverage.

• Journal of Science and Technology Studies
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• v.3 no.1 s.5
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• pp.105-156
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• 2003

This paper aims to explore the cause and aspect of inter-ministerial policy conflict and its coordination in science and technology policy-making with the case of science and technology basic law-making process in Korea. This law-making processes are analysed through the three periods for the last 10 years starting 1992, such as law-formulation(1st) period, interim law-making (2nd) period, and final law-making(3rd) period. Based on these steps, it tries to concretely describe the phenomenon of policy conflict and the coordination mechanism among government departments and analyses the characteristics of dynamic interaction and mutual adjustment among the related agencies. The analysis is mainly focussed on the underlying causes and determinants of policy conflict, the development and coordination process of the conflict, the strategies and logics of the conflict participants, and eliciting some policy implications for effective policy coordination among government departments. Research results are summarized as follows. First, in science and technology policy-making the main causes of policy conflict among government departments are attributed to the difference of policy-orientation and jurisdiction-orientation of each agency. During the first period, the main aspect of policy conflict was policy-oriented, during the second, the main aspects of policy conflict were both policy-oriented and jurisdiction-oriented, and during the third, policy-oriented conflict was dominant. Second, the dominant typology and strategies of policy coordination which the participants used were vertical-political and horizontal-analytic approach. During the first period, horizontal and analytical approach were used, during the second, horizontal and political approach are mixedly used, and during the third, vertical and political approach were dominantly used. Third, The Korean National Assembly and the ruling party played a pivotal role in science and technology policy-making process(the basic law-making process) in particular during the final period.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.15-27
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• 2022

An omnidirectional VR treadmill is a highly-immersive walking simulator that allows identical body movements, such as walking, running, and sitting. However, the operation difficulty of an omnidirectional VR treadmill may cause data reliability problems. Therefore, this study aims to verify the effectiveness of a VR treadmill by comparing the ability to orient in the real and virtual worlds spatially. For this purpose, a rotating and searching path experiment was conducted with participants. This experiment showed that there was no statistically significant difference in the ability of the participants to orient in the real and virtual worlds spatially. In addition, the omnidirectional VR treadmill requires an adaptation time for the users due to the difficulty in the treadmill operation. However, there was no significant difference in the difficulty felt by the participants according to the adaptation time. Hence, these findings supported the possibility of collecting realistic walking data without safety concerns through an omnidirectional VR treadmill. Furthermore, this treadmill could be used in future research to solve problems directly related to pedestrian safety, such as the interaction between vehicles and pedestrians.

• The Journal of the Petrological Society of Korea
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• v.28 no.2
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• pp.129-141
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• 2019

The Eoraesan area, Chungju, which is located in the northwestern part of Ogcheon Metamorphic Zone, Korea, mainly consists of the Neoproterozoic Gyemyeongsan Formation and the Mesozoic igneous rocks which intruded it. The metaacidic rocks (MAR) of the Gyemyeongsan Formation show a maximum radioactive value, and the Early Jurassic biotite granite is regionally distributed in this area. In this paper is researched the microstructure related to the growth of rare-earth mineral of allanite in the MAR, and is considered the source and occurrence time of rare-earth element (REE) mineralization. The MAR is mainly composed of alkalic feldspar (mainly microcline), quartz, iron-oxidizing mineral, biotite, muscovite, plagioclase, hornblende, allanite, zircon, epidote, fluorite, apatite, garnet, (clino)zoisite etc. The radioactive elements contained in the allanite cause a dark brown hale in the surrounding biotite, and the allinte also occurs as aggregate along the regional foliation. The deflection of regional foliation and the strain shadows, which are common to the pre-tectonic porphyroblast grown before the formation of regional foliation, can't be observed around most allanites (aggregates). The grain size and orientation of ironoxidizing mineral included in the allanite aggregate are the same as those in the matrix. It is recognized the hydrothermal conversion of hornblende to biotite due to the intrusion of igneous rock, and the secondary biotite occurs and contacts with allanite, zircon, epidote etc. These microstructures indicate that the rare-earth mineral of allanite (aggregate) grew by the hydrothermal alteration due to the intrusion of igneous rock after the formation of regional foliation. It is considered that the REE mineralization is closely related to the intrusion of Early Jurassic biotite granite which is regionally distributed in this area.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.95-104
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• 2015

In recent years, in accordance with the rapidly increasing number of smartphone users, various social problems have started to occur. Examples of these problems are the overuse of smartphones and bad usage habits of smartphone users that can cause new social problems such as smartphone addiction and other smartphone related diseases. With the aim of preventing these social problems, this paper proposes a new smartphone addiction and disease prevention system. This system was developed by collecting and analyzing smartphone usage patterns. This proposed system analyzes the usage patterns and working hours of smartphone users in real time. If the detected smartphone usage patterns reach a dangerous level, the system will send warning messages to the user. This will enable users to recognize the unhealthy situation in advance by themselves. In addition, this solution could possibly prevent smartphone addiction and other smartphone related illness by preventing overuse and encouraging abstinence from using smartphones to the extent that it becomes harmful to the user.

• Journal of Korean Academy of Nursing
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• v.8 no.1
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• pp.163-180
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• 1978

Much of a person's energy is spent in the effort of becoming a productive member of to-day's complex society. This activity may cause tension, and chronic unrelieved tension is an influential factor in blood pressure elevation. The problem of this study was to identify manifest needs and self-actualization of patients with essential hypertension, and to analyse and compare their manifest needs and selt-actualization with the selected general characteristics of We, sex, religion, occupation and level of education with a control group of patients with normal blood pressure readings. The purpose was to contribute to the planning of nursing interventions toward reducing the impact of complex psycho-somatic factors on the anxiety of patients with essential hypertension. The instruments used included selected items from the Edwards (1959) Personal Preference Schedule (EPPS) as adapted by Hwang (1965) and from the Personal Orientation Inventory (POI) (Shostrom 1964, 1974) adapted by Kim and Lee (1977) to measure manifest needs and self-actualization. The convenience sample was chosen from 149 persons who presented themselves for general physical examinations at Ewha University Medical Centre and 41 patients diagnosed with essential hypertension at three general hospitals in Seoul during June 1 and August 31, 1977. Forty-nine persons from the Ewha group with blood-pressure readings exceeding 150/90 were added to the experimental group. Data were analysed by the S.P.S.S. computer programme using t-test and tests for statistical significance. Statistically significant findings were as follows: A. Blood Pressure and Manifest Needs. 1. with the exception of Autonomy, patients with hypertension had significantly high scores on all variables Abasement, Achievement, Affiliation, Aggression, Dominance, Emotionality, Exhibitionism and Sex. 2. When mean scores of normal persons were compared by age groups, normal persons had higher scores in the following order on Abasement (50's, 40's, 20's, 30's), Achievement (50's, 30's, 40's, 20's), Affiliation (50's, 40's, 30's, 20's), Dominance (50's, 40's, 40's, 20's) and Exhibitionism (30's, 50's, 40's, 20's). In each case, there was a significant difference between the first and last age group scores. 3. When the mean scores of normal persons were compared by sex, normal men had higher scores than women on Achievement, Affiliation, Aggression, Dominance, Exhibitionism and Sex. Male patients had higher scores than female patients on Achievement, Dominance, Exhibitionism and Sex, but female patients scored higher in Emotionality. 4. Normal persons had higher scores related to religion in the following order on Achievement (Buddhism, no religion, Christianity). Hyper tensive patients had higher scores on. Exhibitionism (no religion, Christianity, Buddhism). 5. Normal persons had higher scores related to occupation in the following order on Achievement and Exhibitionism (unemployed, office workers, teachless, businessmen), Emotionality (office workers, unemployed, businessmen, teacher) and Sex (office workers, unemployed, teachers, businessmen). Hypertensive patients had higher scores on Achievement and Aggression (teachers, businessmen, office worker, unemployed), Dominance and Exhibitionism (businessmen, teacher, of ace workers, unemployed) and Sex (teachers, office worker, businessmen, unemployed). 6. Normal persons had higher scores related to level of edification in the following order on Abasement, Emotionality and Autonomy (secondary school graduation, university). Hypertensive patients had higher scores on Abasement (no education, primary, university, secondary), Achievement (no education, secondary, university, primary) , Dominance (university, no education, secondary, primary), Exhibitionism (university, secondary, no education, primary), and Sex (university, secondary, primary, no education). B. Blood Pressure and Self_Actualization 1, Patients with hypertension had significantly lower scores on all variables. 2. Normal persons had higher scores related to age groups in the following order on Existentiality (20's, 30's, 40's, 50's). Hypertensive patients showed no significantly different scores. 3. Normal women had higher scores than men on Time Competence. Normal men had higher scores on Feeling Reactivity. Male patients had higher scores than women on Self-Actualizing Value and Self-Regard. 4. Normal persons ha 1 higher scores related to religion on spontaneity (Buddhism, no religion, Christianity). Hypertensive patients had higher scores on Time Competence and Nature of Man (Buddhism, Christianity, no religion). 5. Normal persons had higher scores related to occupation in the following order on Existentiality (teachers, office workers, businessmen, unemployed) and Self-Regard (unemployed, office workers, teachers, businessmen). Hypertensive patients showed no significantly different scores. 6. Normal persons had higher scores related to level of education in the following order on Existentiality and Self-Acceptance (university, secondary). Hypertensive patients had higher scores on inner-Director (university, secondary, no education, primary) and Existentiality (university, secondary, primary, no education). Recommendations for nursing interventions with hypertensive patients with emotional problems or low self-actualization were made. 1. The nurse should encourage the patient through her interactions with other members of the medical team to accept counselling and health education. 2. Through her therapeutic interpersonal relationships with the patient, the nurse should help him discover the causes of his emotional tension. 3. Through her health teaching with the family, the nurse should encourage them to participate with the medical team in the patient's therapeutic plan and in providing him with the minimum possible emotional support. 4. Through frequent counselling with the obsessive-thinking and inflexible patient, the nurse should reevaluate the patient's behaviour and her interventions. 5. Seriously ill patients should be given needed reeducation by members of the professional medical team.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.33-54
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• 2021

With the fourth industrial revolution and the arrival of the New Normal era due to Corona, the importance of Non-contact technologies such as artificial intelligence and big data research has been increasing. Convergent research is being conducted in earnest to keep up with these research trends, but not many studies have been conducted in the area of nuclear research using artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. This study was conducted to confirm the applicability of data science analysis techniques to the field of nuclear research. Furthermore, the study of identifying trends in nuclear spent fuel recognition is critical in terms of being able to determine directions to nuclear industry policies and respond in advance to changes in industrial policies. For those reasons, this study conducted a media trend analysis of pyroprocessing, a spent nuclear fuel treatment technology. We objectively analyze changes in media perception of spent nuclear fuel dry treatment techniques by applying text mining analysis techniques. Text data specializing in Naver's web news articles, including the keywords "Pyroprocessing" and "Sodium Cooled Reactor," were collected through Python code to identify changes in perception over time. The analysis period was set from 2007 to 2020, when the first article was published, and detailed and multi-layered analysis of text data was carried out through analysis methods such as word cloud writing based on frequency analysis, TF-IDF and degree centrality calculation. Analysis of the frequency of the keyword showed that there was a change in media perception of spent nuclear fuel dry treatment technology in the mid-2010s, which was influenced by the Gyeongju earthquake in 2016 and the implementation of the new government's energy conversion policy in 2017. Therefore, trend analysis was conducted based on the corresponding time period, and word frequency analysis, TF-IDF, degree centrality values, and semantic network graphs were derived. Studies show that before the 2010s, media perception of spent nuclear fuel dry treatment technology was diplomatic and positive. However, over time, the frequency of keywords such as "safety", "reexamination", "disposal", and "disassembly" has increased, indicating that the sustainability of spent nuclear fuel dry treatment technology is being seriously considered. It was confirmed that social awareness also changed as spent nuclear fuel dry treatment technology, which was recognized as a political and diplomatic technology, became ambiguous due to changes in domestic policy. This means that domestic policy changes such as nuclear power policy have a greater impact on media perceptions than issues of "spent nuclear fuel processing technology" itself. This seems to be because nuclear policy is a socially more discussed and public-friendly topic than spent nuclear fuel. Therefore, in order to improve social awareness of spent nuclear fuel processing technology, it would be necessary to provide sufficient information about this, and linking it to nuclear policy issues would also be a good idea. In addition, the study highlighted the importance of social science research in nuclear power. It is necessary to apply the social sciences sector widely to the nuclear engineering sector, and considering national policy changes, we could confirm that the nuclear industry would be sustainable. However, this study has limitations that it has applied big data analysis methods only to detailed research areas such as "Pyroprocessing," a spent nuclear fuel dry processing technology. Furthermore, there was no clear basis for the cause of the change in social perception, and only news articles were analyzed to determine social perception. Considering future comments, it is expected that more reliable results will be produced and efficiently used in the field of nuclear policy research if a media trend analysis study on nuclear power is conducted. Recently, the development of uncontact-related technologies such as artificial intelligence and big data research is accelerating in the wake of the recent arrival of the New Normal era caused by corona. Convergence research is being conducted in earnest in various research fields to follow these research trends, but not many studies have been conducted in the nuclear field with artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. The academic significance of this study is that it was possible to confirm the applicability of data science analysis technology in the field of nuclear research. Furthermore, due to the impact of current government energy policies such as nuclear power plant reductions, re-evaluation of spent fuel treatment technology research is undertaken, and key keyword analysis in the field can contribute to future research orientation. It is important to consider the views of others outside, not just the safety technology and engineering integrity of nuclear power, and further reconsider whether it is appropriate to discuss nuclear engineering technology internally. In addition, if multidisciplinary research on nuclear power is carried out, reasonable alternatives can be prepared to maintain the nuclear industry.