• Journal of the Korean Society of Costume
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• v.5
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• pp.173-183
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• 1981

In 1895(32nd year of King Ko-Jong), Kyung-moo-chung as westernized police system was established and the uniform of the police developed. Regarding to the Uniform of the Kyung-bu-dai-sin(the Minister Kyung-bu) and to that of the Sun-gum(the low position of the Kyung-bu police), the Kyung-bu costume(Uniform of the police) is divided as Ye-bok(Formal uniform) and Sang-bok(Informal uniform). Ye-bok(Formal uniform) is put on in the case of the law described, and Sang-bok(Informal uniform) is an everyday wear. Ye-bok(Formal uniform) is composed of Ye-mo(hat), Eui(jacket), Go(trousers), Dai(decorative belt), Do(decorative sword), and Hwa(footwear). Sang-bok(Informal uniform) is composed of Sang-mo(hat), Eui(jacket), Go(trousers), and Hwa(footwear). Differences between Sang-bok(Informal uniform) and Ye-bok(Formal uniform) is the materials of the ornament, numbers of the decorative lines. Ye-bok(Formal uniform) has more grandeur[ornament. A historic changes in the Kyung-bu costume(Uniform of the police) during the late of Yi Dynasty was little but the decorative materials and the numbers of the decorative line.

• Research in Plant Disease
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• v.12 no.2
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• pp.91-98
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• 2006

A filtrate powder, designated as KNF2022, produced from culture broth of Acinetobacter sp. KTB3 was tested for their inhibitory effects on Pepper mild mottle virus (PMMoV) infection to Nicotiana glutinosa or N. tabacum cv. Xanthi nc. When 1/100 dilution with distilled water was treated to the plants and PMMoV was inoculated, the inhibition was estimated to be 94.3 and 95.6%, respectively. The same concentrations of KNF2022 inhibited infections of Pepper mottle virus (PepMoV) and Cucumber mosaic virus (CMV) on Chenopodium amaranticolor by 97.1 and 92.5%, respectively. Duration of inhibitory activity of the filtrate powder from Acinetobacter sp. culture broth against PMMoV infection on N. glutinosa was maintained for 2 days at 80% inhibition level, however, the inhibitory effect was diminished from 4 days after treatment to 50% levels. To evaluate inhibitory effects on systemic host plants of the antiviral agent, symptom developments of PMMoV, PepMoV and CMV on KNF2022-treated pepper plants were investigated. Delayed symptom developments until 10 days after inoculation (DAI) were observed for all the three viruses when the viruses were inoculated individually, and these delayed symptom development effects were maintained until 30 DAI in case of PepMoV. Moreover, PepMoV was not detected by RT-PCR and ELISA until 30 DAI. These delayed symptom development effects were diminished in all combinations of three virus co-inoculations due to synergism of three viruses on symptom developments. Inhibitory effect of KNF2022 was verified under electron microscopic examinations using purified virus preparations. Particles of PMMoV and PepMoV were observed on specimens from 5 min after KNF2022 treatment, and the particle sizes were reached in the range of 200-250 nm and 400-600 nm, respectively. Furthermore, the viral particles were destructed and particle sizes were reached in the range of 100-150 nm and 300-500 nm, respectively, on 60 min after treatments. Reduction of local lesion numbers on N. tabacum cv. Xanthi nc and C. amaranticolor were accompanied with reduction of virus particle sizes. In the case of CMV destructed particle numbers were also increased according to incubation period after KNF2022 treatment and local lesions on C. amaranticolor were reduced.

• The Research Journal of the Costume Culture
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• v.8 no.3
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• pp.486-492
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• 2000

This study is concerned with the jang il (　日). The purpose of this study was to trace the origin of jang il and to identify forms and the meaning of it. Significant findings and results of this research can be summerized as follows : It was found that jang il was a kind of brimmed hat with a round crown. People of Han Dynasty period wore jang il. It was favored by the people of Wei Chin (魏晉) Dynasty period of China and was a very popular hat in these periods. It was used by farmers and merchants. It was found that jang il was worn by a tribe of Kang(羌) in prehistorical period. It is considered that jang il of the Chinese, was derived from the people of Kang(羌). In the Tang and Five Dynasty periods women also wore jang il. Women from the upper class appeared used jang il. It appeared that Koguryoreans also used jang il : it was a kind of black wide brimmed hat with a round crown. which can be found in the tomb paintings of Yong Kang(龍崗). A horse rider wears jang il.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2005.04a
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• pp.107-110
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• 2005

Tribological behaviors of carbon epoxy composites whose surfaces have many small grooves were compared with respect to coating method under dry sliding and water lubricating conditions. The surface coating materials were epoxy (Ep) and polyethylene (PE) mixed with self-lubricating $MoS_2$ and PTFE powders. The wear morphology of the composites observed with a scanning electron microscopic (SEM) revealed that the surface coating layer mixed with the self-lubricating powder on the grooved surface significantly improved the wear resistance under water lubricating condition because the surface coating layer blocked water to penetrate the composite surface and the self-lubricating powder reduced the wear on the coating by suppressing the generation of blisters.

• The Journal of Korea Robotics Society
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• v.3 no.2
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• pp.117-122
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• 2008

This paper presents a multi-robot localization based on multidimensional scaling (MDS) in spite of the existence of incomplete and noisy data. While the traditional algorithms for MDS work on the full-rank distance matrix, there might be many missing data in the real world due to occlusions. Moreover, it has no considerations to dealing with the uncertainty due to noisy observations. We propose a robust MDS to handle both the incomplete and noisy data, which is applied to solve the multi-robot localization problem. To deal with the incomplete data, we use the Nystr$\ddot{o}$m approximation which approximates the full distance matrix. To deal with the uncertainty, we formulate a Bayesian framework for MDS which finds the posterior of coordinates of objects by means of statistical inference. We not only verify the performance of MDS-based multi-robot localization by computer simulations, but also implement a real world localization of multi-robot team. Using extensive empirical results, we show that the accuracy of the proposed method is almost similar to that of Monte Carlo Localization(MCL).

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.263-266
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• 2007

We introduce a vision-based hand gesture recognition fer understanding musical time and patterns without extra special devices. We suggest a simple and reliable vision-based hand gesture recognition having two features First, the motion-direction code is proposed, which is a quantized code for motion directions. Second, the conducting feature point (CFP) where the point of sudden motion changes is also proposed. The proposed hand gesture recognition system extracts the human hand region by segmenting the depth information generated by stereo matching of image sequences. And then, it follows the motion of the center of the gravity(COG) of the extracted hand region and generates the gesture features such as CFP and the direction-code finally, we obtain the current timing pattern of beat and tempo of the playing music. The experimental results on the test data set show that the musical time pattern and tempo recognition rate is over 86.42% for the motion histogram matching, and 79.75% fer the CFP tracking only.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.433-438
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• 2007

This paper presents a distance mapping-based localization method with incomplete data which means partially observed data. We make three contributions. First, we propose the use of Multi Dimensional Scaling (MDS) for multi-robot localization. Second, we formulate the problem to accomodate partial observations common in multi-robot settings. We solve the resulting optimization problem using #Scaling by Majorizing a Complicated function (SMACOF)#, a popular algorithm fur iterative MDS. Third, we not only verify the performance of MDS-based multi-robot localization by computer simulations, but also implement a real world localization of multi-robot team. Using extensive empirical results, we show that the accuracy of the proposed method is almost similar to that of Monte Carlo Localization(MCL).

• Journal of Animal Science and Technology
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• v.50 no.2
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• pp.157-166
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• 2008

• Proceedings of the Korean Biophysical Society Conference
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• 2002.06b
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• pp.56-56
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• 2002

Muscle contraction and relaxation are regulated by the sarcoplasmic reticulum (SR)-mediated $Ca^{2＋}$ release and $Ca^{2＋}$ uptake. The SR functions are closely related with the proteins residing in the SR such as ryanodine receptor, $Ca^{2＋}$-ATpase, calsequestrin, triadin and junctin. In an effort to further identify important functional SR proteins, experiments of sucrose-density gradient of SR fractionation, concanavalin A treatment, 2D gel electrophoresis, $^{45}$ Ca$^{2+}$ overlay, Strains-all staining, and peptide finger printing (PFP) were carried out.(omitted)d)

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.357-361
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• 2007

This paper presents a multi-robot localization based on Bayesian Multidimensional Scaling (BMDS). We propose a robust MDS to handle both the incomplete and noisy data, which is applied to solve the multi-robot localization problem. To deal with the incomplete data, we use the Nystr${\ddot{o}}$m approximation which approximates the full distance matrix. To deal with the uncertainty, we formulate a Bayesian framework for MDS which finds the posterior of coordinates of objects by means of statistical inference. We not only verify the performance of MDS-based multi-robot localization by computer simulations, but also implement a real world localization of multi-robot team. Using extensive empirical results, we show that the accuracy of the proposed method is almost similar to that of Monte Carlo Localization(MCL).