• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.293-297
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• 2007

This thesis suggests a new algorithm to detects multiple moving objects using a CMODE(Correct Multiple Object DEtection) method in the color images acquired in real-time and to track the interested pedestrian using motion and hue information. The multiple objects are detected, and then shaking trees or moving cars are removed using structural characteristics and shape information of the man , the interested pedestrian can be detected, The first similarity judgment for tracking an interested pedestrian is to use the distance between the previous interested pedestrian's centroid and the present pedestrian's centroid. For the area where the first similarity is detected, three feature points are calculated using k-mean algorithm, and the second similarity is judged and tracked using the average hue value for the $3{\times}3$ area of each feature point. The zooming of camera is adjusted to track an interested pedestrian at a long distance easily and the FOV(Field of View) of camera is adjusted in case the pedestrian is not situated in the fixed range of the screen. As a experiment results, comparing the suggested CMODE method with the labeling method, an average approach rate is one fourth of labeling method, and an average detecting time is faster three times than labeling method. Even in a complex background, such as the areas where trees are shaking or cars are moving, or the area of shadows, interested pedestrian detection is showed a high detection rate of average 96.5%. The tracking of an interested pedestrian is showed high tracking rate of average 95% using the information of situation and hue, and interested pedestrian can be tracked successively through a camera FOV and zooming adjustment.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.2
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• pp.54-61
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• 2016

Studies on assessment tools for predicting cardiovascular disease risk (CDR), along with the studies to prevent CDR have been consistently reported. The validity of the Framingham risk score (FRS), a commonly known tool, has been verified through the precedent studies. In this study, we examined the differences of FRS according to the application of categories of LDL cholesterol (LDL-C) or Total cholesterol (TC), and attempted to evaluate the agreement of 10 yr CHD risk judgment based on the above-mentioned application. Excluding those diagnosed as cardiovascular diseases, data on subjects (755 men and 775 women) from the 2011 Korean National Health and Nutrition Examination Survey were used. We found differences of FRS and 10 yr CHD risk depending on the application of categories of LDL cholesterol (LDL-C) or Total cholesterol (TC). FRS of TC points were higher than those of LDL-C in both men and women. In classification of low risk (<10%), intermediate risk (10~19%), and high risk (${\geq}20%$), there were disagreements for 106 men and 26 women. Women showed almost perfect agreement from Coefficient of Cohen's Kappa (0.718 in men, and 0.884 in women). In assessment of 10 yr CHD risk, R-squared value from regression including TC was higher than that of LDC-C in both men and women (0.972 vs 0.885). From this result, we can draw a conclusion that correlation coefficients of FRS and CHD risk including TC were higher than those of LDC-C, and women showed a greater degree of agreement than men.

• Journal of Radiation Protection and Research
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• v.39 no.4
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• pp.187-198
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• 2014

I developed a curriculum reflecting the perspectives of students, science teachers, and professionals in order to carry out standardized, fundamental nuclear power and radiation education in schools. Among elementary, middle, and high schools, 78.4%, 78.6%, and 93.1% respectively exhibited (with high frequency) a need for nuclear power and radiation education. The proposed elementary and middle/high school course titles are "Radiation and Life" and "Nuclear Power and Radiation" respectively. The courses are offered at every grade level and span one semester each year. The duration of each weekly class varies; at the elementary, middle, and high school levels classes meet for 40, 45, and 50 minutes respectively. Thin textbooks containing an abundance of cartoons and photos were requested. The starting points for education were fixed at the sixth grade, second year of middle school, and the first year of high school. It was stipulated that the education be separate from the regular curriculum, and encompass a creative and experimental field study based on the principal and science teachers' needs. Similar trends were observable according to grade levels regarding class hours, textbook format, form of education, and educational necessity. A simulation of the devised curriculum revealed an overall goodness of fit totaling $3.88{\pm}0.60$, $3.89{\pm}0.60$, and $3.66{\pm}0.63$ out of five for elementary, middle school, and high school students respectively, which are scores equivalent to 70 and above (out of 100). The significance of this study is that it is the first to propose a curriculum designed to cultivate value judgment based on understanding nuclear power and radiation. However, the realization of nuclear power and radiation education requires that follow-up measures be taken regarding textbook development, amendments to related laws, and the providing of teaching plans.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.47-56
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• 2020

The stock index is used not only as an economic indicator for a country, but also as an indicator for investment judgment, which is why research into predicting the stock index is ongoing. The task of predicting the stock price index involves technical, basic, and psychological factors, and it is also necessary to consider complex factors for prediction accuracy. Therefore, it is necessary to study the model for predicting the stock price index by selecting and reflecting technical and auxiliary factors that affect the fluctuation of the stock price according to the stock price. Most of the existing studies related to this are forecasting studies that use news information or macroeconomic indicators that create market fluctuations, or reflect only a few combinations of indicators. In this paper, this we propose to present an effective combination of the news information sentiment analysis and various macroeconomic indicators in order to predict the US Dow Jones Index. After Crawling more than 93,000 business news from the New York Times for two years, the sentiment results analyzed using the latest natural language processing techniques BERT and NLTK, along with five macroeconomic indicators, gold prices, oil prices, and five foreign exchange rates affecting the US economy Combination was applied to the prediction algorithm LSTM, which is known to be the most suitable for combining numeric and text information. As a result of experimenting with various combinations, the combination of DJI, NLTK, BERT, OIL, GOLD, and EURUSD in the DJI index prediction yielded the smallest MSE value.

• Cartoon and Animation Studies
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• s.36
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• pp.553-572
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• 2014

In this paper, for the evaluation of the ease of a particular Web site (www.appbelt.net), insert the log tracking code for Google Analytics in a page of the Web site to collect behavioral data of visitor and has studied the improvement measures for the problems of the Web site, after the evaluation of the overall quality of the Web site through the evaluation of Coolcheck. These findings set the target value of the company's priority (importance) companies want to influence the direction of the business judgment are set up correctly, and the user's needs and behavior will be appropriate for the service seems to help improvement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.38-46
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• 2019

This study analyzed the contents of KOSS-SF and PWI-SF by using ICF-VR core set and IPC framework for value judgment. The two instruments are self-report questionnaires commonly used for presenteeism in order to suggest vocational rehabilitation factors to predict presenteeism. The study was conducted from Dec 2018 to Feb 2019. For the analysis, the researchers independently linked the scales using the connection rules of ICF and IPC framework. The average agreement between the researchers was 90%. KOSS-SF was linked with 60 ICF-VR codes and PWI-SF with 34 ICF-VR codes, and mainly measured activities and participation, and body function domains. According to the IPC framework, the instruments were found to measure the Rational-Social, and Emotional-Psychological aspects. As a result, the two instruments did not adequately reflect the presenteeism (30% matched) and were particularly limited in ICF-VR environmental domains. Based on the results, questions of ICF body structure, environmental, and personal domains should be added to improve the validity of the presenteeism scale, and references and guidelines should be developed for collecting clearer data. Further study and discussion were provided.

• Journal of Korean Theatre Studies Association
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• no.40
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• pp.307-344
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• 2010

Cultural Studies built on the critical mind of New Left exposes the relationship between culture and power, and investigates how this relationship develops the cultural convention. It has achieved the new perspective that could make us to think culture and art in terms of political correctness. However, the critical voices against the theoretical premises of Cultural Studies have been increased as its heyday in 1980s was nearly over. For instance, Terry Eagleton, a former Marxist literary critic, declared in 2003 that the golden age of cultural theory is long past. This essay, therefore, intends to show the weak foundations on which the approaches of cultural studies to theatre rest and to clarify the general problem of their introduction to theatre studies. The approach of cultural studies to theatre takes the form of 'top-down inquiry' as it applies a theory to a particular play or historical period. In other word, from the theory the writer moves to the particular case. The result is not an inquiry but rather a demonstration. This circularity can destroy the point of serious intellectual investigation as the theory dictates answers. The goal-oriented narrow viewpoint as a logical consequence of 'top-down inquiry' makes the researcher to favor the plays or the parts of a play that are proper to test a theory. As a result it loses the fair judgment on the artistic value of a play, and brings about the misinterpretation. The interpreter-oriented reading is the other defect of cultural studies as it disregards the inherent meaning of the text, distorting a play. The approach of cultural studies also consists of a conventionality as it arrives at a stereotyped interpretation by using certain conventions of reasoning and rhetoric. The cultural theories are fundamentally the 'outside theories' that seek to explain not theatre but the very broad features of society and politics. Consequently their application to theatre risks the destructive criticism, disregarding the inherent experience of theatre. Most of, if not all, cultural theories, furthermore, are proven to be lack of empirical basis. The alternative method to them is a 'cognitive science' that proves scientifically our mind being influenced by bodily experience. The application of cultural materialism to Shakespeare's is one of the cases that reveal the limits of cultural studies. Jonathan Dollimore and Water Cohen provide a kind of 'canonical study' in this application that is imitated by the succeeding researchers. As a result the interpretation of has been flooded with repetitive critical remarks, revealing the problem of 'top-down inquiry' and conventional reasoning. Cultural Studies is antipodal to theatre in some respect. It is interested chiefly in the social and political reality while theatre aims to create the fiction world. The theatre studies, therefore, may have to risk the danger of destroying its own base when it adopts cultural studies uncritically. The different stance between theatre and cultural theories also occurs from the opposition of humanism vs. antihumanism. We have to introduce cultural theories selectively and properly not to destroy the inherent experience and domain of theatre.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.117-132
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• 2020

The study studied ways to improve the adjustment of the cadastral reform project after analyzing and evaluating the method of determining the boundaries and the overall status of the adjustment, focusing on cases of complaints in the business district in Sejong City, where the re-investigation project was completed. Measures to improve the adjustment amount of the cadastral reform project were largely divided into boundary adjustment and improvement measures according to the scope of area allowance and institutional improvement. According to an analysis of the status of boundary adjustment in Sejong City, the boundary of the cadastral reform project was being adjusted in various ways, and among them, it was found that it is simple to adjust, to formalize parcels, and that many adjustments are being made centering on resolving blind areas by establishing new roads. When setting such a boundary, it is necessary to establish an efficient and reasonable boundary by actively encouraging sufficient consultation with owners and an adjustment boundary that reflects the personal will of landowners to minimize disputes over the adjustment amount. In terms of improvement measures based on the area limit, it is necessary to accurately record and preserve the results of the cadastral resurvey in numerical data and to ease or exempt the adjustment amount if it is within the area permissible scope of the Spatial Data Management Act when calculating the adjustment amount. Finally, in relation to the adjustment, it was judged that it would be necessary to provide long-term low-interest loans to their own land to landowners, and that it would be necessary to calculate the adjustment through appraisal calculated by third parties fairly and objectively based on value judgment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.671-678
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• 2021

In a previous study, technology protection levels were set on a qualitative basis. That study lacked quantitative standards, so here, we conduct a study to complement the previous study and to present an objective standard. This paper provides a method of setting a technical protection level that applies statistical analysis. To set the technology protection level, statistical analysis of six technical survey items is performed first. Second, the technical survey items are analyzed by AHP to quantify the opinions of experts in order to derive weights for each technical survey item. Finally, by using the normal distribution scatter map and median calculation method, the technology protection level is selected in three stages using the final detailed factor technology score reflecting the weight. The technology protection level methodology developed through this study is the first methodology with objectivity that can evaluate defense technology by level. If this methodology is applied in practice, it is believed that it will provide a scientific and quantitative technology value judgment criterion when setting the technology protection level in the future.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.57-65
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• 2021

A hyper-connected intelligence information society is emerging that creates new value by converging IoT, AI, and Bigdata, which are new technologies of the fourth industrial revolution, in all industrial fields. Everything is connected to the network and data is exploding, and artificial intelligence can learn on its own and even intellectual judgment functions are possible. In particular, the Internet of Things provides a new communication environment that can be connected to anything, anytime, anywhere, enabling super-connections where everything is connected. Artificial intelligence technology is implemented so that computers can execute human perceptions, learning, reasoning, and natural language processing. Artificial intelligence is developing advanced technologies such as machine learning, deep learning, natural language processing, voice recognition, and visual recognition, and includes software, machine learning, and cloud technologies specialized in various applications such as safety, medical, defense, finance, and welfare. Through this, it is utilized in various fields throughout the industry to provide human convenience and new values. However, on the contrary, it is time to respond as intelligent and sophisticated cyber threats are increasing and accompanied by potential adverse functions such as securing the technical safety of new technologies. In this paper, we propose a new data modeling method to enable IoT integrated security control by utilizing artificial intelligence technology as a way to solve these adverse functions.