• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.3
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• pp.326-332
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• 2015

Analyzing electromagnetic properties in plasma medium, it is difficult to numerically solve electromagnetic problem with thin plasma. In this paper, subcell Maxwell-Boltzmann FDTD method was proposed which is combined with Maxwell-Boltzmann FDTD and subcell FDTD method for analyzing plasma and electrically thin materials, respectively. Calculations of reflection coefficient and absorption rate error were performed by using 1D FDTD method. Reflection coefficient computed by applying the proposed method is in agreement with analytic solution. Absorption rate error analyzed by employing the proposed method is 1/10 times less than one by using conventional method.

• Journal of the Korean Society of Costume
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• v.66 no.5
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• pp.82-98
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• 2016

Korea and Japan have a cultural homogeneity because they were affected by China. However, each country has developed its own original culture due to their own national characteristic and endemism, In traditional clothing, though Korea and Japan share the same origin, they have developed their own form, Hanbok and Kimono, which have completely different looks. The differences in the traditional clothing is the result of the differences in each country's aesthetic sense, which is reflects in the artwork of those days. Ink-and-wash painting was the typical painting form in East Asia, so Korean and Japanese ink-and-wash painting from that period can be used to observe the differences in the aesthetic sense. This study aims to search for commonly shared aesthetic sense in the design process of Hanbok and Kimono by analyzing the styles of a representative Korean painting, "Sehando(Wintry Days)" and a representative Japanese painting, "Pine Trees Screen". H. Wolfflin's methodology influenced not only painting, but also architecture and sculpture. Therefore, this theory can be applied to clothing, which can be considered a type of sculpture. Modernization of traditional clothing has to start by analyzing the aesthetic sense of artisans that have affected the design of traditional clothing. To spread Hanbok globally and differentiate it from Japanese clothing, we have to acknowledge the differences between Korean and Japanese aesthetic sense, and based on this, we have to develop the design of Hanbok.

• Journal of the Korean Society of School Health
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• v.14 no.2
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• pp.289-300
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• 2001

The purpose of this study is to offer basic data on sex education for middle and high school students through content analysis of sex education subjects. The objects of this study were sex related subjects in the 7th grade curriculum and sex education guide books. The results were as follows: According to the results of analyzing sex education topics classified by grade, the 7th grade accounted for 35.2% of total topics, the 8th grade 2.9%, the 9th grade 2.9%, and the 10th grade 32.3%, the result of analyzing sex education topics classified by subject, showed 76.4% of total topics in sex education guide book, 29.4% were technique and domestic subjects, 20.5% were physical subjects, 17.6% were moral subjects, 8.8% were science subjects, 2.9% were society subjects. The domains which were chiefly concerned in sex education curricula for middle school students were "Human Development", "Relationship", and "Sexual Health". On the other hand, the domains which were mainly concerned with sex education curricula for high school students were "Relationship", "Sexual Behavior" and "Sexual Health". Most sex education subjects provided less instruction concerning "Personal Skills" and "Sexual Behavior" than other domains. The suggestion according to the results were as follows: It is desirable to teach sex education as an integrated subject. Especially, sex education should be a part of a comprehensive school health education program. Because this study focused on analyzing materials for teachers, further research is recommended to analyze sex education materials for students.

• Journal of Korean Society on Water Environment
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• v.26 no.5
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• pp.822-833
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• 2010

Temperature increase due to climate changes causes change of water temperature in rivers which results in change of water quality etc. and the change of river ecosystem has a great impact on human life. Analyzing the impact of current climate changes on air and water temperature is an important thing in adapting to the climate changes. This study examined the effect of climate changes through analyzing air temperature trend for Nakdong river basin and analyzed the elasticity of air-water temperature to understand the effect of climate changes on water temperature. For analysis air temperature trend, collecting air temperature data from the National Weather Service on main points in Nakdong river basin, and resampling them at the units of year, season and month, used as data for air temperature trend analysis. Analyzing for elasticity of air-water temperature, the data were collected by the Water Environment Information system for water temperature, while air temperature data were collected at the National Weather Service point nearest in the water temperature point. And using the results of trend analysis and elasticity analysis, the effect of climate changes on water temperature was examined estimating future water temperature in 20 years and 50 years after. It is judged that analysis on mutual impact between factors such as heat budget, precipitation and evapotranspiration on river water temperature affected by climate changes and river water temperature is necessary.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1278-1288
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• 2011

The purpose of this study was to classify subjective structure of observation experience toward delivery on nursing students. A Q-methodological approach that gives information about the way of analyzing the subjectivity of each item was used. Q population was performed for analyzing through interview and literature review. From this, ultimately, a final Q sample of 35 statements was obtained. The P sample sorted the Q sample for observation experience toward delivery. The collected data was analyzing using PC QUANL program, which revealed three distinctive types of delivery experience about nursing students. Type 1 is a sympathy towards delivery woman, type 2 is a requirement of care. And type 3 is a future of analogical inference of delivery type. In conclusion, it is needed not only to give high quality of nursing service but also to have a right job value based on proper understanding of patient. Also, it is recommended about education of nursing students for making right view of value based on the three types of delivery experience.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.660-663
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• 2009

Consumers express how they evaluate what they purchased by writing reviews especially when they purchased products online. By analyzing the reviews about a product, it will be possible to find out what the consumers liked and disliked about the product. It will be also possible to identify the general consensus on what matters in purchaing certain product type such as a laptop if many reviews about many instances of a particular product type is analyzed. However, it takes a lot of time to manually analyzing the reviews. Thus, we propose to use two natural language processing oriented computational techniques to analyze a large number of reviews. The techniques are text classification and information extraction. We developed an review analysis system and conducted experiments against the reviews about the laptop computers posted on the Naver information portal.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.19-24
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• 2020

Artificial intelligence technology, which is the core of the 4th industrial revolution, is making intelligent judgments through deep learning techniques and machine learning that it is impossible to predict if it is applied to stock prediction beyond human capabilities. In US fund management companies, artificial intelligence is replacing the role of stock market analyst, and research in this field is actively underway. In this study, we use BLSTM to reduce errors that occur in unidirectional prediction of the existing LSTM method, reduce errors in predictions by predicting in both directions, and macroscopic indicators that affect stock prices, namely, economic growth rate, economic indicators, interest rate, analyze the trade balance, exchange rate, and volume of currency. To help stock investment by accurately predicting the target price of stocks by analyzing the PBR, BPS, and ROE of individual stocks after analyzing macro-indicators, and by analyzing the purchase and sale quantities of foreigners, institutions, pension funds, etc., which have the most influence on stock prices.

• Journal of Korea Multimedia Society
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• v.15 no.4
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• pp.472-484
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• 2012

Raised or plain block is widely used for the pedestrian's safe passage. The insincere construction, insufficient maintenance and obstacle overlaid on the pavement cause pedestrian's accidents. This paper proposes a method to detect brick path by analyzing the shape pattern and texture feature of brick located in visible distance for a safe passage. A brick appears to a regular type because of its specific shape which repeats with its sized gap and its type varies according to the surrounding environment or use. This paper shows a method which extracts the shape pattern by analyzing single surface polygon and its frequency appearing in road area. The shape pattern is used to detect similar shape regions. Some regions are not detected because extraneous substances or chopped bricks distort the original shape. This problem can be solved by analyzing the texture feature vector. The analyzed vector of the previously detected regions yields the Gaussian distribution. This value in each undetected region is computed and checked whether it's satisfied with Gaussian distribution or not. The satisfied region is detected as the brick path. The experiment was performed with the various type's bricks to recognize so that the results showed as accurate as 95.9% in average.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.4
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• pp.667-677
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• 2013

As the firewall is a typical network security equipment, it is usually installed at most of internal/external networks and makes many packet data in/out. So analyzing the its logs stored in it can provide important and fundamental data on the network security research. However, along with development of communications technology, the speed of internet network is improved and then the amount of log data is becoming 'Massive Data' or 'BigData'. In this trend, there are limits to analyze log data using the traditional database model RDBMS. In this paper, through our Method of Analyzing Firewall log data using MapReduce based on NoSQL, we have discovered that the introducing NoSQL data base model can more effectively analyze the massive log data than the traditional one. We have demonstrated execellent performance of the NoSQL by comparing the performance of data processing with existing RDBMS. Also the proposed method is evaluated by experiments that detect the three attack patterns and shown that it is highly effective.

• Fashion & Textile Research Journal
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• v.11 no.6
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• pp.925-933
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• 2009

This research was carried out by analyzing a form and composition in baseball cap targeting 97 marketing products, and we have typified it by frequency analysis. We have carried out comparing and wearing test between comparative pattern and the most preferred three products of sports brand, fashion brand A, and fashion brand B (flex fit). And also, in order to provide basic indices for developing new pattern, we have carried out analysis of variance. 1. As a result of analyzing a form in baseball cap, the most general pattern type for crown is central cutting with six pieces. In a cap, a basic type with no decoration was the most general. In the size adjustment and decoration, belt type and embroidery type (front or side embroidery of the crown) was the most common, respectively. 2. As a result of comparing and analyzing six-piece typed crown pattern, the comparative pattern was the same and symmetric in size and form of three patterns in front, side, and back. However, the patterns of marketing products of three brands were different in size and form of three patterns in front, side, and back. The patterns of sports brand were the largest in crown height and width, thus it was good at providing activity and motion. The patterns of fashion brand A were the shortest in the crown length and well-curved in front pattern, so it was well-matched with head shape. The patterns of fashion brand B were well-described back side of head since its convex and long patterns in the back head. 3. As a result of wearing test by five-point Likert scale among brand, pattern of fashion brand B outperformed the others since it was well-matched with head shape. In the cap, pattern of fashion brand A is the most preferred which was 7.5 cm of length and 18cm of width.