• Title/Summary/Keyword: observable

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수용성 DDB 유도체의 3개월 반복투여독성에 관한 연구 (Three Months Subacute Toxicity of Water Soluble Dimethyl Dimethoxy Biphenylate Derivative in Rats)

  • 신민기;손장원;김민영;방명주;김정현;최진혁;김준성;배미옥;문전옥
    • Toxicological Research
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    • 제16권2호
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    • pp.151-161
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    • 2000
  • The Three months subacute toxicity of water soluble dimethyl dimethoxy biphenylate derivative (DDB-S), newly formulated therapeutic agent for hepatitis, was invesgated in SD rats. The body weight and clinical signs were observed after intravenous injection of DDBs at doses of 57, 75 and 100 mg/kg/day for three months. Decrease in motor activity and tremor were observed above 75mg/kg treated groups. Statistically significant changes at serum biochemical analysis were found in some group, how-ever, those changes were within the normal range and had no relationship with dosage. There was no abnormal morphological and pathological findings in relation to DDB-S treatment. The no observable adverse effect level of DDB-S in rats was estimated to be 57 mg/kg/day in this study.

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과모델된 선형 시불변 이산 시간 시스템의 적응 제어법칙 (Adaptive control of overmodeled linear time-invariant discrete systems)

  • 양현석;이호신
    • 제어로봇시스템학회논문지
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    • 제2권2호
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    • pp.67-72
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    • 1996
  • This paper presents a parameter adaptive control law that stabilizes and asymptotically regulates any single-input, linear time-invariant, controllable and observable, discrete-time system when only the upper bounds on the order of the system is given. The algorithm presented in this paper comprises basically a nonlinear state feedback law which is represented by functions of the state vector in the controllable subspace of the model, an adaptive identifier of plant parameters which uses inputs and outputs of a certain length, and an adaptive law for feedback gain adjustment. A new psedu-inverse algorithm is used for the adaptive feedback gain adjustment rather than a least-square algorithm. The proposed feedback law results in not only uniform boundedness of the state vector to zero. The superiority of the proposed algorithm over other algorithms is shown through some examples.

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Extracting Frequency-Frequency Correlation Function from Two-Dimensional Infrared Spectroscopy: Peak Shift Measurement

  • Kwak, Kyung-Won
    • Bulletin of the Korean Chemical Society
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    • 제33권10호
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    • pp.3391-3396
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    • 2012
  • Two-dimensional infrared (2D-IR) spectroscopy can probe the fast structural evolution of molecules under thermal equilibrium. Vibrational frequency fluctuation caused by structural evolution produced the time-dependent line shape change in 2D-IR spectrum. A variety of methods has been used to connect the evolution of 2D-IR spectrum with Frequency-Frequency Correlation Function (FFCF), which connects the experimental observables to a molecular level description. Here, a new method to extract FFCF from 2D-IR spectra is described. The experimental observable is the time-dependent frequency shift of maximum peak position in the slice spectrum of 2D-IR, which is taken along the excitation frequency axis. The direct relation between the 2D-IR peak shift and FFCF is proved analytically. Observing the 2D-IR peak shift does not need the full 2D-IR spectrum which covers 0-1 and 1-2 bands. Thus data collection time to determine FFCF can be reduced significantly, which helps the detection of transient species.

Development of Classification Technique of Point Cloud Data Using Color Information of UAV Image

  • Song, Yong-Hyun;Um, Dae-Yong
    • 한국측량학회지
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    • 제35권4호
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    • pp.303-312
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    • 2017
  • This paper indirectly created high density point cloud data using unmanned aerial vehicle image. Then, we tried to suggest new concept of classification technique where particular objects from point cloud data can be selectively classified. For this, we established the classification technique that can be used as search factor in classifying color information in point cloud data. Then, using suggested classification technique, we implemented object classification and analyzed classification accuracy by relative comparison with self-created proof resource. As a result, the possibility of point cloud data classification was observable using the image's information. Furthermore, it was possible to classify particular object's point cloud data in high classification accuracy.

NON-COPLANAR MAGNETIC RECONNECTION AS A MAGNETIC TWIST ORIGIN

  • CHAE JONGCHUL
    • 천문학회지
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    • 제32권2호
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    • pp.137-147
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    • 1999
  • Recent studies show the importance of understanding three-dimensional magnetic reconnect ion on the solar surface. For this purpose, I consider non-coplanar magnetic reconnection, a simple case of three-dimensional reconnect ion driven by a collision of two straight flux tubes which are not on the same plane initially. The relative angle e between the two tubes characterizes such reconnection, and can be regarded as a measure of magnetic shear. The observable characteristics of non-coplanar reconnection are compared between the two cases of small and large angles. An important feature of the non-coplanar reconnect ion is that magnetic twist can be produced via the re-ordering of field lines. This is a consequence of the conversion of mutual helicity into self helicities by reconnection. It is shown that the principle of energy conservation when combined with the production of magnetic twist puts a low limit on the relative angle between two flux tubes for reconnect ion to occur. I provide several observations supporting the magnetic twist generation by reconnection, and discuss its physical implications for the origin of magnetic twist on the solar surface and the problem of coronal heating.

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Solution Structure of Bovine Pancreatic Trypsin Inhibitor using NMR Chemical Shift Restraints

  • Park, Kyunglae;Wil
    • 한국자기공명학회논문지
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    • 제1권2호
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    • pp.79-94
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    • 1997
  • The solution structure of bovine pancreatic trypsin inhibitor(BPTI) has been refined by NMR chemical shift data of C${\alpha}$H using classical molecular dynamics simulation. The structure dependent part of the observable chemical shift was modeled by ring current effect, magnetic anisotropy effect from the nearby groups, whereas the structure independent part was replaced with the random coil shift. A new harmonic function derived from the differences between the observed and calculated chemical shifts was added into physical force field as an pseudo potential energy term with force constant of 250 kJmol-1 ppm-2. During the 1.5 ns molecular dynamics simulation with chemical shift restraints BPTI has accessed different conformation space compared to crystal and NOE driven structure.

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뉴로 관측기를 이용한 교류서보 전동기 제어 (AC Servo Motor Control Using Neuro Observer)

  • 윤광호;김상훈;김낙교;남문현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.69-71
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    • 2004
  • DC servo motors have a defect that they need a periodical maintenance because of a brush commutation and also they have a difficulty at high speed operation. In this reason, the use of AC Servo motors are increasing these days. In this paper, a proposed neuro observer is applied to speed control of AC servo motor. The proposed observer complement a problem that occur from increase of gain of High-gain observer in proportion to the square number of observable state variables. And also, the proposed observer can tune the gain obtained by differentiating observational error automatically by using the backpropagation training method to stabilize the observational speed. The excellence and feasibility of the proposed observer is proved by making a comparison test between the proposed observer and the others applied to the same AC servo motor.

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EFFECT OF DOXYCYCLINE-REGULATED ERP57 EXPRESSION ON THROMBOPOIETIN PRODUCTIVITY IN RECOMBINANT CHO CELLS

  • 황선옥;정주영;이균민
    • 한국생물공학회:학술대회논문집
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    • 한국생물공학회 2001년도 추계학술발표대회
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    • pp.457-458
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    • 2001
  • To determine the effect of ERp57 expression on thrombopoiein (TPO) productivity in recombinant Chinese hamster ovary (rCHO) cells, TPO producing rCHO cell line with doxycycline-regulated ERp57 expression \Vas developed. The Erp57 expression level could be regulated by addition of different concentrations of doxycycline to culture medium. The doxycycline concentration of I ${\mu}g/mL$ was high enough to suppress the ERp57 expression. Up to 5 ${\mu}g/mL$ doxycycline concentration used in culture medium, no observable cytotoxic effect of doxycycline was detected during culture. Overexpression of ERp57 、 vas found to increase the specific TPO productivity ($q_{Tpo}$) without growth inhibition, probably due to the chaperone-like activity of ERp57 in CHO cells.

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초등학생들의 열과 온도에 대한 대안개념 조사 (Investigating Elementary Students에 Alternative Conceptions of Heat and Temperature)

  • 최행숙;김은경;백성혜;이길재;정완호
    • 한국초등과학교육학회지:초등과학교육
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    • 제20권1호
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    • pp.123-137
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    • 2001
  • In this study, the contents of elementary school science textbooks related to 'heat and temperature' are analyzed and alternative conceptions ofi"heat and temperature" among students enrolled in grades 4, 5 and 6 are investigated. 259 students were selected from a elementary school located in urban area. The relationships between students' alternative conceptions and the content of elementary science textbooks are also examined. Students' conceptions are analyzed from their answers to a paper-and-pencil test. The typical alternative conception of "heat and temperature" held by students was follows. They think that "heat" is a material and "temperature" is value of heat amount. They can't distinguish between "heat" and "temperature". Their explanation of "heat and temperature" is focused on hot or cool sensation and other observable characteristics of a material. A textbook analysis indicated that contents on "heat and temperature" were organized without the viewpoint of particle motion theory. This may be one of the causes of students' alternative conceptions.

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A Selective Induction Framework for Improving Prediction in Financial Markets

  • Kim, Sung Kun
    • Journal of Information Technology Applications and Management
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    • 제22권3호
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    • pp.1-18
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    • 2015
  • Financial markets are characterized by large numbers of complex and interacting factors which are ill-understood and frequently difficult to measure. Mathematical models developed in finance are precise formulations of theories of how these factors interact to produce the market value of financial asset. While these models are quite good at predicting these market values, because these forces and their interactions are not precisely understood, the model value nevertheless deviates to some extent from the observable market value. In this paper we propose a framework for augmenting the predictive capabilities of mathematical model with a learning component which is primed with an initial set of historical data and then adjusts its behavior after the event of prediction.