• Title/Summary/Keyword: 이춘영

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Changes in Electrophoretic Patterns of Egg White Proteins during Incubation (부화과정에 있어 난단백의 변화에 대하여)

  • Lee, C.Y.;Jo, D.H.;Cheon, H.W.
    • Applied Biological Chemistry
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    • v.14 no.3
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    • pp.201-205
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    • 1971
  • The electrophoretic patterns of the thin and thick layers of EWP were observered and the densitometry was conducted. 1. Most characteristic were the patterns of both layers at 7-day incubation compared with those of fresh stage. 2. After 15 days the patterns of both layers were almost same. 3. The ratio of some components of the fresh EWP is in a good accordance with the other wisely measured data.

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Quantitative Determination of Flavor Constituents of Korean Milgam (Citrus unshiu) Juice (밀감 쥬스 향기(香氣) 성분(成分)의 정량(定量))

  • Kim, H.;Jo, D.H.;Park, Y.H.;Lee, C.Y.;Lee, Y.H.
    • Applied Biological Chemistry
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    • v.23 no.2
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    • pp.106-114
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    • 1980
  • The flavor constituents of Korean Milgam were extracted with a nitrogen gas stream under partial vacuum and identified by gas liquid chromatography. By employing the extraction coefficient, it was possible to determine the concentration of components in Milgam as well as in the extracts. Among 53 GLC peaks, 26 components were identified. Ethanol was the most abundant component (140ppm), followed by limonene (120ppm). These two were the most important flavor constituents.

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Hydroxyproline determination in silk fibroin (견사 Fibroin 중의 Hydroxyproline정량에 대한 보고)

  • 최병희;이춘영;김한수
    • Journal of Sericultural and Entomological Science
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    • v.5
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    • pp.53-55
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    • 1965
  • This was the report of Hydroxyproline detection in silk fibroin and the obtained results were as followings. 1. Hydroxyproline was analized 25∼75 p.p.m. in specific species silk fibroin. 2. The amino acid was included more in crossed species silk fibroin than in the original species fibroin. 3. The number of amino acids in silk fibroin increased from 18 to 19 kinds.

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A New Approach in Analysis of the Factors Affecting the Chemical Components in Brown Rice (현미중 화학성분함량 결정요인 해석에 관한 새시도)

  • Park, Hoon;Lee, Chun-Yung
    • Applied Biological Chemistry
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    • v.14 no.1
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    • pp.103-107
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    • 1971
  • The hypothesis that the grain having the same specific gravity has the same content in some chemical constituents as a genetic constant of a variety without being affected by the environmental conditions which affect only the percent distribution of grain in specific gravity was tested on nitrogen. Also the applicability of hypothesis on phosphorus, potassium, calcium and physiological significance of hypothesis were discussed.

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Proposed algorithm for improved recognition in a variety of environment 'Adaptive Two Scale Retinex Algorithm' (다양한 환경속에서도 영상의 인식률 향상을 위한 알고리즘 제안)

  • Choe, Jin-Yeong;Lee, Chun-Yeong;Baek, Seung-Dae;Seo, Seong-Jun
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.417-420
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    • 2011
  • 로봇이 능동적으로 행동하기 위해서는 외부 신호를 받아서 처리해야 되는데 여러 가지 센서 중에서도 영상처리가 중요해지고 있다. 하지만 영상처리를 사용하였을 경우는 예측할 수 없는 외부환경으로부터 영향을 받을 수 있다. 예를 들면 조명이 일정한 내부 환경에서는 인식이 가능하나 외부환경에서는 불가능한 경우가 있다. 그러므로 로봇산업이 발전에 중요한 축을 담당하고 있는 영상처리에 분야 중에서 논문에서는 조명이 변하는 상황을 설정해보고 그 상황을 토대로 기존의 알고리즘인 [2][3] Single-scale Retinex. [4][5] Multi-scale Retinex와 인식률을 비교해보고 Single-scale Retinex을 기반으로 단순히 Multi- scale Retinex처럼 가중치를 같이 두는 것이 아니라 상황에 따라 가중치를 다르게 주는 알고리즘 'Adaptive Two Scale Relinex Algorilhm'을 소개하겠다. 더불어 앞으로 나아가야 될 방향에 대해서도 언급하겠다.

Mobile measurement system of ECG signal in vehicle environment (차량운전자 심전도 신호의 QRS 검출 방법)

  • Park, Jae-Yong;Oh, Kwang-Seok;Lee, Choon-Young;Lee, Sang-Ryong
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.895-896
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    • 2006
  • This paper proposes a new method to measure the ECG signal from the driver. The ECG signal is often measured in the room. But it is mixed with many kinds of noise when we measure it during the vehicle moving. We classified noise occupied most many parts as the experimental among them. And we designed one suitable filter for each noise. It used ALE(Adaptive Line Enhancement) to remove the noise occurred to electromagnetic wave in vehicle. To remove the noise occurred to steering or vibration of vehicle, we used Wavelet transformation after ALE(preprocessing filter).

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Adaptive Signal Processing Methods for ECG Signal Analysis using EMG Signal Analysis (근전도 신호를 이용한 심전도 신호의 적응신호처리 방법)

  • Oh, Kwang-Seok;Park, Jun-Sik;Lee, Choon-Young;Lee, Sang-Ryong
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.889-890
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    • 2006
  • This paper pertains to introducing the design of adaptive filters for the cancellation of muscle noise among several types of noise sources from the ECG signal. We used EMG signals measured along with ECG at the same time to use it as the reference input to the adaptive filter for the experiments. PSD results showed that the statistical characteristics of ECG are closely correlated with those of EMG.

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Material Classification Using Reflected Signal of Ultrasonic Sensor (초음파의 반사 신호를 이용한 실내환경의 재질 인식)

  • Kim Dal-Ho;Lee Sang-Ryong;Lee Choon-Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.6
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    • pp.580-584
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    • 2006
  • Material information for environment may be useful to accomplish mobile robot localization. A procedure to classify a set of indoor materials (glass, steel, wood, aluminum and concrete) with the reflected signal of ultrasonic sensor is proposed in this paper. The main idea is to use material-specific reflection characteristics for the recognition of material type. To achieve the classification task, we modeled reflected signal as a maximum amplitude with respect to distance. In this way, we can generate echo signal models for the given materials and these models are used to compare with the current sensor reading. The experimental results show that the proposed method may give material information during map building task of mobile robot.

Intelligent Driver Assistance Systems Using Biosignal (생체신호계측을 이용한 지능형 운전보조 시스템)

  • Lee, Sang-Ryong;Park, Keun-Young;Lee, Choon-Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.12
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    • pp.1186-1191
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    • 2007
  • Human driver monitoring system is one of the most important systems for the safety in driving vehicles, and therefore driver assistance system has gained much attention during the last decade. This paper proposed an intelligent driver assistance system which monitors human driver's states from bio-signals such as ECG and Blood Pressure. The proposed system used mamdani fuzzy inference to evaluate the driver's mental strain and generated warning signals to the driver. The approach using bio-signals in driver assistance system is the main issue of the related systems and the preliminary results showed the possibility of further research topics in developing more intelligent embedded systems with bio-signal feedback.