• 제목/요약/키워드: Dai mo

검색결과 33건 처리시간 0.021초

경부복식(警部服飾) 소고(小考) (A Study on the Kyung-bu Costume (Uniform of the Police))

  • 최인려
    • 복식
    • /
    • 제5권
    • /
    • pp.173-183
    • /
    • 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.

  • PDF

Acinetobacter sp. 배양여과액 분말제제의 식물바이러스에 대한 감염억제 효과 및 작용 (Inhibitory Effect on Infection of Plant Viruses by Filtrate Powder from Culture Broth of Acinetobacter sp. and Its Mode of Action)

  • 김미순;정민영;김윤성;장철;황인천;류기현;최장경
    • 식물병연구
    • /
    • 제12권2호
    • /
    • pp.91-98
    • /
    • 2006
  • Acinetobacter sp. KTB3의 배양여과액으로 제조한 분말 제제 KNF2022의 바이러스 감염억제 효과를 PMMoV 와 N. glutinosa 또는 N. tabacum cv. Xanthi nc를 이용하여 검정한 결과, 증류수 1/100 배양액의 실질 농도 10,000 ppm) 희석농도에서 $94.3{\sim}95.6%$의 높은 감염억제 효과를 나타냈다. 이 1/100 희석농도를 이용하여 PepMoV-C amaranticolor에서 검정한 억제효과는 97.1%, CMV-C amaranticolor 에서는 92.5%의 감염억제를 나타냈다. KNF2022 희석액을 N. glutinosa의 반엽에 도말하고 일정 시간 경과 후 PMMoV를 접종하여 조사한 억제효과의 지속성은 처리 2 일 후까지 약 80% 선에서 억제효과를 나타냈으나, 처리 4 일 후부터는 50% 수준으로 저하되었다. 고추에 KNF2022를 처리한 후 3 종의 바이러스를 접종하고 발현되는 병징을 조사한 결과, 각 바이러스를 단독으로 접종하였을 경우는 바이러스의 종류에 관계없이 접종 후 10 일까지 병징발현이 지연되는 효과를 보였다. 특히 PepMoV를 접종한 경우는 접종 후 30 일까지 병징발현이 억제되어 제제의 처리효과가 뚜렷하게 나타났다. 한편 이들 3 종 바이러스의 복합감염에 대한 KNF2022의 효과는 모든 바이러스 조합에서 단독감염 보다 강하게 발현되어 병징억제의 효과는 뚜렷하게 나타나지 않았다. 제제를 처리한 고추에서 증식된 바이러스의 농도를 PCR 및 ELISA로 검출한 결과, PepMoV를 단독으로 접종한 경우, 접종 후 30 일까지 cDNA가 검출되지 않았다. RT-PCR 검정에서 억제효과가 인정된 PepMoV와 그 복합감염 의 조합에 대해서 ELISA 검정을 실시한 결과, PCR 검정에서 얻어진 결과와 유사한 패턴을 보여 PepMoV에 대한 감염억제효과가 뚜렷하게 인정되었다. KNF2022를 처리하여 전자현미경으로 관찰한 PMMoV와 PepMoV는 처리 5 분 후에 각각 200-250 nm 및 400-600 nm의 길이로 절단된 입자가 많이 관찰되었고, 처리 30 분 후에는 대부분 100-150nm와 300-500 nm의 절편입자로 관찰되었다. 이와 같이 절단된 입자가 증가할수록 N. tabacum cv. Xanthi nc 와 C. amaranticolor에서 나타난 병반수는 급격하게 감소되었다. 한편 KNF2022를 처리한 후 전자현미경을 관찰한 CMV의 바이러스 입자는 처리시간에 비례하여 파괴된 입자의 수가 증가하였으며, 파괴된 바이러스입자가 증가할수록 C. amaranticolor에서의 병반수도 감소되었다.

중국과 고구려의 장일 (A Study on Jang il of China and Koguryo)

  • 김진구
    • 복식문화연구
    • /
    • 제8권3호
    • /
    • pp.486-492
    • /
    • 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.

  • PDF

코팅된 요철표면을 가지는 탄소/에폭시 복합재료의 마찰 및 마모 특성 (Tribological behaviors of polymer coated carbon composite with small surface grooves)

  • 김성수;이학구;이대길
    • 한국복합재료학회:학술대회논문집
    • /
    • 한국복합재료학회 2005년도 춘계학술발표대회 논문집
    • /
    • pp.107-110
    • /
    • 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.

  • PDF

멀티로봇 위치 인식을 위한 강화 다차원 척도법 (Robust Multidimensional Scaling for Multi-robot Localization)

  • 제홍모;김대진
    • 로봇학회논문지
    • /
    • 제3권2호
    • /
    • pp.117-122
    • /
    • 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).

  • PDF

지휘행동 이해를 위한 손동작 인식 (Hand Gesture Recognition for Understanding Conducting Action)

  • 제홍모;김지만;김대진
    • 한국정보과학회:학술대회논문집
    • /
    • 한국정보과학회 2007년도 가을 학술발표논문집 Vol.34 No.2 (C)
    • /
    • pp.263-266
    • /
    • 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.

  • PDF

거리매칭에 기반한 다수로봇 위치추정 (Multi-Robot Localization based on Distance Mapping)

  • 제홍모;김정태;김대진
    • 한국정보과학회:학술대회논문집
    • /
    • 한국정보과학회 2007년도 가을 학술발표논문집 Vol.34 No.2 (C)
    • /
    • pp.433-438
    • /
    • 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).

  • PDF

Identification of novel $Ca^{2+}$ binding proteins in junctional sarcoplasmic reticulum of rabbit skeletal muscle

  • Jung, Dai-Hyun;Mo, Sang-Hyun;Kim, Do-Han
    • 한국생물물리학회:학술대회논문집
    • /
    • 한국생물물리학회 2002년도 제9회 학술 발표회 프로그램과 논문초록
    • /
    • pp.56-56
    • /
    • 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)

  • PDF

Multi-Robot Localization based on Bayesian Multidimensional Scaling

  • Je, Hong-Mo;Kim, Dai-Jin
    • 한국지능정보시스템학회:학술대회논문집
    • /
    • 한국지능정보시스템학회 2007년도 추계학술대회
    • /
    • pp.357-361
    • /
    • 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).

  • PDF