• Journal of the Korean Society of Costume
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• v.39
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• pp.91-98
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• 1998

This paper is to study the development background of casual Korean clothes through the consideration of the style change of traditional clothes. The purpose of this study is to present the method for the settlement of casual Koran clothes as everyday clothes and to present the direction which casual Koran clothes follow in the future. The development. The development backgrounds of casual Korean clothes are as followings. 1) the self-awakening for the importance of national culture. 2) practical aspects 3) the change of life style accompanied with economic growth 4) the development of mass media Casual Korean clothes in the future should be studied and developed in following aspects. 1) practical aspects by developing design for easy activity 2) environmental aspects by natural dyeing which is harmless to human body and the nature 3) emotional aspects by regarding traditional beauty as importance 4) color sense aspects according to scarcity of as form change of the Korean clothes 5) production aspects by mass production of ready-made clothes not order clothes 6) diplomatic aspects as folk costume which is corresponding with international trend 7) scientific aspects by developing many patterns according to various bodies 8) economic aspects by low price through the mass cultivation of natural materials 9) fashionable aspects by subdividing traditional clothes to ceremonial clothes, everyday clothes, working clothes.

• Journal of Environmental Science International
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• v.11 no.6
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• pp.507-517
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• 2002

Cheeka Peak is a unique site for monitoring the background chemistry and aerosol contents of pristine marine air at mid-latitude. During long-range onshore winds that occur frequently throughout the year, it is predicted to have the cleanest air in the northern hemisphere. Measurements of CO and O$_3$were conducted at Cheeka Peak Observatory(CPO) on the northwestern tip of Washington state, USA during March 6 ∼May 29, 2001. The data have been segregated to quantify the mixing ratio of these species in the Pacific marine atmosphere. Also the marine air masses were further classified into four categories based on 10-day backward isentropic trajectories; high, mid, and low latitude and those which had crossed over the Asian industrial region. The diurnal variation of CO and O$_3$at CPO showed a similar to tendency of background measurement site. When marine air mass flowed to CPO, CO concentration was lower and O$_3$was similar or higher than those of total data. The westerly flow from ocean, not easterly from continent occurred the high concentration of CO and O$_3$at CPO. Using the trajectory segregation of marine air mass, the comparison of concentration according to latitude calculated. the CO concentration of Asian trajectory was lower than other latitudes, O$_3$concentration was higher.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.2
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• pp.95-99
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• 2002

The Loose Part Monitoring System(LPMS) has been designed to detect. locate and evaluate detached or loosened parts and foreign objects in the reactor coolant system. In this paper, at first, we presents an application of the back propagation neural network. At the preprocessing step, the moving window average filter is adopted to reject the reject the low frequency background noise components. And then, extracting the acoustic signature such as Starting point of impact signal. Rising time. Half period. and Global time, they are used as the inputs to neural network . Secondly, we applied the neural network algorithm to LPMS in order to estimate the mass of loose parts. We trained the impact test data of YGN3 using the backpropagation method. The input parameter for training is Rising clime. Half Period amplitude. The result shored that the neural network would be applied to LPMS. Also, applying the neural network to thin practical false alarm data during startup and impact test signal at nuclear power plant, the false alarms are reduced effectively.

• Journal of Environmental Health Sciences
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• v.24 no.3
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• pp.114-123
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• 1998

Particulate matters(less than 10 $\mu$m, PM10) at Kanghwa and Yangyang, which are located in the western and the eastern coastal regions in Korea, were measured in using low volume air sampler from December 1995 to November 1996, and their characteristics were investigated from the view point of background level.(and in order to characterize the particulate matters.) The particulate matters were analyzed for major water soluble ionic components(SO$_{4}^{2-}$, NO$_{3}^{-}$, Cl$^{-}$, Na$^{+}$, NH$_{4}^{+}$, K$^{+}$, Mg$^{2+}$ and Ca$^{2+}$) by ion chromatography. Mass concentrations of particulate matters were $48.77 \pm 22.45 \mug/m^{3}$ at Kanghwa and $54.04 \pm 32.98 \mug/m^{3}$ at Yangyang and SO$_{4}^{2-}$, NO$_{3}^{-}$ and NH$_{4}^{+}$ contributed largely to water soluble ionic components. nss(non sea salt)-SO$_{4}^{2-}$, contributed more than 95 percentage to SO$_{4}^{2-}$ and nss-K$^{+}$ and nss-Ca$^{2+}$ also contributed high percentages to K$^{+}$ and Ca$^{2+}$. It was supposed that most SO$_{4}^{2-}$, was originated from anthropogenic sources, and K$^{+}$ and Ca$^{+}$ were mainty originated from soil. The results of factor analysis suggested possibility of interpreting the correlation between air pollutants and regional characteristics.

• Korean Journal of Clinical Laboratory Science
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• v.45 no.4
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• pp.159-163
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• 2013

To investigate the cognitive degree about hepatitis and hepatosis, 916 subjects are examined with query and hepatotitis B, C, E test as well as s-AST and s-ALT as liver function test. Based on results, there are 4.9% of positive hepatitis and 8.9% of hepatosis and 13.8% of liver disorder. Among positive hepatitis, there are 93.3% of type B, 42.2% of type E and 6.7% of type C, respectively. From 45% of positive hepatitis B, they carry hepatitis B and E together. The cognitive degree about positive hepatitis is 64.4%, hepatosis 8.6%. The knowledge degree from cognitive group is higher than that of noncognitive group but there is no difference from hepatosis between two groups (p<0.001). The cognitive degree of liver disorder depends on academic background (p<0.001), mother's academic background (p<0.001), job (p<0.05) and family's income (p<0.001), showing significant difference. In summary, hepatitis carrier aware quite well about liver disorder but very low from hepatosis. Accordingly, the plan to increase a cognitive degree and continuous education as well as policy support to minimize spread of disease and to protect not to be worsen disease will be needed.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.4
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• pp.1154-1158
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• 2004

The classical ABC (avidin-biotin peroxidase complex) method for immunohistochemistry in the paraffin-embedded tissues bring into being disadvantage such as low sensitivity of antigen detection and highly background. The biotinyl-tyramide conjugation recently introduced for sensitive immunohistochemistry was applied to light microscopy in paraffin-embedded pancreatic and liver tissues. The protocol consists of an indirect method in which 4-5㎛ tissue sections are reacted successively within a specific primary antibody, followed by a biotinylated secondary antibody, streptavidin-horseradich peroxidase (HRP), and then finally with biotinyl-tyramide. The labeling obtained for insulin and collagen antigen tested in pancreatic and liver tissues, respectively, was found to be highly specific with the labeling for each antigen confined to its particular cellular compartment. In this study, fish (flounder) serum was specially applied to remove nonspecific binding. Background levels and nospecific deposition of the staining were negligible. This results suggest that super-signal induction method by biotinyl-tyramide conjugate can readily applied to antigen detection of the paraffin-embedded tissues.

• Transactions on Electrical and Electronic Materials
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• v.14 no.4
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• pp.187-192
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• 2013

Because of the importance of small target detection in infrared images, many studies have been carried out in this area. Using a Kalman filter and mean shift algorithm, this study proposes an algorithm to track multiple small moving targets even in cases of target disappearance and appearance in serial infrared images in an environment with many noises. Difference images, which highlight the background images estimated with a background estimation filter from the original images, have a relatively very bright value, which becomes a candidate target area. Multiple target tracking consists of a Kalman filter section (target position prediction) and candidate target classification section (target selection). The system removes error detection from the detection results of candidate targets in still images and associates targets in serial images. The final target detection locations were revised with the mean shift algorithm to have comparatively low tracking location errors and allow for continuous tracking with standard model updating. In the experiment with actual marine infrared serial images, the proposed system was compared with the Kalman filter method and mean shift algorithm. As a result, the proposed system recorded the lowest tracking location errors and ensured stable tracking with no tracking location diffusion.

• Journal of Distribution Science
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• v.3 no.2
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• pp.121-142
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• 2005

We're living in a world of one global village. The globalization of business is acceleration as more companies cross national borders to find customers, materials and money. Many foreign companies and organizations are doing their business aggressively in Korea and many Korean companies and rushing into foreign market. When people communicate for business with someone from another culture, there could be difficult communication barriers to overcome resulting from differences in their values, beliefs, norms for behavior, expectations, attitudes and so on. To do successfully business, we need to understand culture background and communication style that is different from nation, race, language. Communication barriers stemming from cultural differences may vary. Largely, they can be divided into value system, non-verbal communication, and perception process. Value system can be divided into individualism versus group orientation, avoidance of uncertainty degree, power distance, and high- context culture versus low-context culture. Also non-verbal communication method and perception process may play decisive roles in communication effectiveness. Especially nonverbal communication barriers which sometimes play more important roles than the verbal parts are composed of eye contact, gesture, kinesics, proxemics, chronemics, paralanguage and language of color Cross-cultural communication affect business situation. I expect that if we understand cultural background, and then we overcome cross-cultural communication barriers. To overcome and to adapt inter-cultural business, we need to develope curriculum on the cross-cultural education which I will study in the next paper.

• Journal of Korea Multimedia Society
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• v.10 no.4
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• pp.432-440
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• 2007

In this paper, we propose a small target detection algorithm for FLIR image with complex background. First, we compute the motion information of target from the difference between the current frame and the created background image. However, the slow speed of target cause that it has the very low gray level value in the difference image. To improve the gray level value, we perform the local gamma correction for difference image. So, the detection index is computed by using statistical characteristics in the improved image and then we chose the lowest detection index a true target. Experimental results show that the proposed method has significantly the good detection performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.49-52
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• 2003

본 논문에서는 실시간 감시 시스템의 응용분야를 위한 백그라운드 모델링과 업데이트 그리고 오브젝트 추출 시스템을 설계 구현한다. 일반적인 감시 시스템은 백그라운드의 모델링(background modeling)과 오브젝트의 검출(object detection), 오브젝트의 추적(tracking)으로 구성된다. 실시간 감시시스템을 가능하게 하기 위해서는 작은 시간 복잡도(low time complexity)로 백그라운드와 오브젝트를 검출할 수 있어야 하고 실외환경(outdoor)의 노이즈(noise)를 반영할 수 있어야 한다. 기존에는 빠른 백그라운드 모델링을 위해 분산, 평균, 최빈값 등을 사용한 연구들이 있었다. 이러한 방법들은 빠른 수행 속도를 보장하지만 노이즈를 오브젝트로 검출하는 문제점이 있다. 또 다른 연구 분야인 메디안(median) 검출 방법은 실외환경에 존재하는 노이즈 반영에 적합한 반면, 정렬(sorting) 연산에 많은 시간이 소요된다. 본 논문은 윈도우(Window) 기반의 러닝 윈도우 리스트(Running Window List)를 이용하여 메디안 정렬 시간을 최소화하고 실시간으로 백그라운드 모델링, 오브젝트 검출, 백그라운드 업데이트를 할 수 있는 방법을 제안한다.