• 제목/요약/키워드: Saturation function

검색결과 393건 처리시간 0.03초

자기 공명 영상법에서 Agarose 표준 물질을 사용한 유체 포화도의 계산 (Estimation of Fluid Saturations Using Agarose Standard in NMR Imaging)

  • 김경회
    • 공업화학
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    • 제10권1호
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    • pp.160-165
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    • 1999
  • Gel 표준 물질의 핵자기 공명적 완화 성질들이 다공성 매체내 유체의 핵자기 공명적 완화 성질들과 잘 부합될 수 있기 때문에, agarose gel은 다공성 매체내 유체의 성질을 측정하기 위한 표준 물질로 사용될 수 있다. 다공성 매체의 세공도(porosity)와 포화도(saturation)를 결정하기 위한 표준물질의 사용을 논의하였고, gel의 핵자기 공명적 성질에 대한 필요조건들도 제시하였다. 2.0 Tesla에서 측정된 agarose gel의 완화시간은 agarose 농도와 상자기성 불순물의 ($CuSO_4$) 농도 함수로 표시하였고, agarose gel 조성과 완화시간 사이의 실험적 결과를 나타내었다. 세공도 분포에 대한 평균값은 17.7%이고, 이 값은 중량 분석법에 의해 계산된 값과 잘 일치한다. 끝으로, agarose gel을 표준 물질로 사용한 비혼화성 2상 유체실험을 수행하였다. 포화 profile들은 균일한 다공성 매체내에서 일차원 치환실험을 했을 때 계산된 결과와 잘 일치하고 있다.

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다종의 Pulse Oximeter에서 측정된 산소 분압도의 차이와 상호 비교 결과에 대한 보고 (COMPARATIVE STUDY OF SEVERAL TYPE PULSE OXIMETER AND OXYGEN SATURATION EXTRACTED FROM THEM)

  • 유승훈;김응학;권순원;김종수
    • 대한소아치과학회지
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    • 제27권4호
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    • pp.494-498
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    • 2000
  • 진정요법하의 치과진료에서 환자의 상태를 지속적으로 감시하는 것은 매우 중요하다. 여러 방법 중 가장 널리 사용되는 것 중 Pulse Oximeter가 있다. Pulse Oximeter는 비침습적 방법으로 계속해서 동맥혈액의 산소포화도를 측정할 수 있도록 고안된 장치로서 기기에 나타나는 산소포화도$(SpO_2)$는 실제로 측정한 동맥혈액의 산소포화도$(SaO_2)$와 거의 일치하는 것으로 알려져 있다. 본 진료실에 있는 세종류의 Pulse Oximeter를 이용하여 한 환자에게 동시에 두 개의 기기를 적용하였을 경우, 산출값을 상호 비교한 결과, 짧은(3회) 맥박수를 평균하는 기기가 낮은값이 나왔으며, 다른 두개의 Pulse Oximeter와 유의한 차이가 있는 것으로 밝혀졌다. 짧은 맥박수를 평균하는 기기는 반응이 빠르나, 산소포화도의 값이 작게 산출되고, 외부의 신호에 더욱 민감하여, 오류가 존재할 가능성 또한 높다. 기기의 특성을 알아, 술자는 적절한 기기를 선택하는 것이 중요하다.

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Incentive Spirometer를 사용한 심호흡 방법이 폐환기 기능에 미치는 효과에 관한 연구 -상복부 수술 환자를 대상으로- (A Study on the Effect which the Method of Deep Breathing with the Use of Incentive Spirometer has on the function of pulmonary Ventilation - In Upper Abdominal Operation Patients -)

  • 김종혜;변영순
    • 대한간호학회지
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    • 제21권3호
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    • pp.268-280
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    • 1991
  • The nursing intervention for the prevention of the pulmonary complication and of the function lowering of pulmonary ventilation which emerge with high generation frequency during the nursing of operation patient is necessary for performing the qualitative nursing for operation patient. So, this researcher tried this study so as to obtain the data which can be utilized for the trial of nursing intervention, by grasping the effect that the deep breathing with Incentive Spirometer has on the function of pulmonary ventilation, analysing the factor to have influence on the function of pulmonary ventilation, and applying the effective method of deep breathing to the clinic. By making 42 patients who underwent the operation of upper abdomen after admitting G Hospital in Seoul from Mar. 7, 1991 to Apr.30, 1991 as the object, they were classified into the experiment group that the deep breathing was made with the use of Incentive Spiromenter and the comparison group that the deep breathing exercise was made without the use of Incentive Spirometer. And then, by measuring Tidal Volume and Forced Vital Capacity with Respirometer and $O_2$ Saturation with Pulse Oximeter at preoperation postoperation 24 hours, 72 hours, and 120 hours data were collected. The collected data were analyzed with of, average, standard deviation, x$^2$-test, t-test and ANOVA by SPSS. The result of this study is as follows : 1. As for the hypothesis that the function of pulmonary ventilation at postoperation 24 hours, 72 hours and 120 hours will be better in the experiment group that the deep breathing was made with the use of Incentive Spirometer, in comparison with the comparison group that deep breathing was made without the use of Incentive Spirometer, experiment group and comparison group didn't show the significant difference in Tidal Volume, Foreced Vital Capacity and $O_2$ Saturation at postoperation 24 hours and 72 hours. But experiment group and comparison group showed the significant difference in Tidal Volume at postoperation 120 hours (p<0.01). So, this hypothesis was supported partially. 2. The variables that there were the significant differences about the function of pulmonary ventilation in experiment group at postoperation 24 hours stastically were smoking existence (p<0.05), and the variables that there were not significant differences about the function of pulmonary ventilation were distinction of sex, age, anesthetic duration, smoking extent, body weight, surface area of body, existence of narcotic use, regular exercise existence, and past experience existence of respiratory disease. As above result, it appeared that the method of deep breathing with the use of the Incentive Spirometer is more effective for the function recovery of pulmonary ventilation, in comparison with the deep breathing without use of Incentive Spirometer and that smoking existence was the factor to have influence on the function of pulmonary ventilation. In the aspect of clinic, the trial of nursing intervention of deep breathing with use of Incentive Spirometer is expected. And, in the aspect of study, the study through various operative site patients about the effect of Incentive Spirometer use at the clinic will have to be confirmed.

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네트워크 대역폭 고갈 공격에 대한 정책 기반 재구성 가능 대역폭제어기 (Policy-based Reconfigurable Bandwidth-Controller for Network Bandwidth Saturation Attacks)

  • 박상길;오진태;김기영
    • 정보처리학회논문지C
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    • 제11C권7호
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    • pp.951-958
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    • 2004
  • 초고속 인터넷 망등의 국내 인터넷의 저변확대로 인해 전자상거래, 인터넷뱅킹, 전자정부, 이메일등 의 많은 서비스와 다양한 정보의 보고로서 인터넷이 사용되고 있다. 근래에는 가상생환환경의 제공과 멀티미디어 서비스를 제공하고자 새로운 미래형 네트워크인 NGN(Next Gener-ation Network)로서 발전하고 있다. 인터넷은 원격지에서도 원하는 정보를 취득할 수 있는 장점이 있는데, 반대 급부로서 상대방의 정보를 허가없이 몰래 추출, 변조하거나 서비스를 제공하는 경쟁사의 서버를 다운시키는 등의 공격이 증대되고 있다. 2000년부터 님다(Nimda) 바이러스, 코드레드(Code Red) 바이러스, 분산서비스 거부 공격(DDoS : Distributed Denial of Service)이 인터넷 전반에 걸쳐 수행되어 네트워크의 사용을 불편하게 하며, 내부 네트워크 트래픽의 비정상적인 증가를 수반했다. 이러한 대역폭 고갈 침해공격에 대하여 네트워크의 유입점에 위치하는 게이트웨이 시스템에 기가비트 이더넷 인터페이스를 갖는 보안네트워크 카드에 재구성 가능한 하드웨어 기능을 제공 가능한 FPGA (Field Programmable Gate Arrart)상에 대역폭 재어기능인 폴리싱(Policing)을 구현한다.

8비트 데이타 정밀도를 가지는 다층퍼셉트론의 역전파 학습 알고리즘 (Learning of multi-layer perceptrons with 8-bit data precision)

  • 오상훈;송윤선
    • 전자공학회논문지B
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    • 제33B권4호
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    • pp.209-216
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    • 1996
  • In this paper, we propose a learning method of multi-layer perceptrons (MLPs) with 8-bit data precision. The suggested method uses the cross-entropy cost function to remove the slope term of error signal in output layer. To decrease the possibility of overflows, we use 16-bit weighted sum results into the 8-bit data with appropriate range. In the forwared propagation, the range for bit-conversion is determined using the saturation property of sigmoid function. In the backwared propagation, the range for bit-conversion is derived using the probability density function of back-propagated signal. In a simulation study to classify hadwritten digits in the CEDAR database, our method shows similar generalization performance to the error back-propagation learning with 16-bit precision.

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An Adaptive Learning Rate with Limited Error Signals for Training of Multilayer Perceptrons

  • Oh, Sang-Hoon;Lee, Soo-Young
    • ETRI Journal
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    • 제22권3호
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    • pp.10-18
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    • 2000
  • Although an n-th order cross-entropy (nCE) error function resolves the incorrect saturation problem of conventional error backpropagation (EBP) algorithm, performance of multilayer perceptrons (MLPs) trained using the nCE function depends heavily on the order of nCE. In this paper, we propose an adaptive learning rate to markedly reduce the sensitivity of MLP performance to the order of nCE. Additionally, we propose to limit error signal values at out-put nodes for stable learning with the adaptive learning rate. Through simulations of handwritten digit recognition and isolated-word recognition tasks, it was verified that the proposed method successfully reduced the performance dependency of MLPs on the nCE order while maintaining advantages of the nCE function.

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축방향 베어링 통합 회전 구동기의 개발 (Development of Rotary Actuator Including Function of Axial Bearing)

  • 허진혁;정광석;백윤수
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.1083-1086
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    • 2003
  • Recently, the study on bearingless motors which integrate both motor and magnetic bearing function in one stator is very active, as many machines have high rotational speed, high precision, smaller size and lighter weight. In this paper, we propose a novel rotary actuator including function of axial bearing using Lorentz force as a preceding research for development of a bearingless motor. As using Lorentz force, this type has some merits such as the linearity of control force, freedom from flux saturation and high efficiency unlike conventional rotary actuators using a reluctance force. This type is cotrolled independently in levitation and rotational directions respectively. It shows by mathematical expression of levitation force and torque in the proposed rotary actuator. And also, the levitation force is generated by magnetic interaction between the magnetic materials and the rotational torque is generated by Lorentz force. Finally. for verification of this proposed system, a prototype is made and some experiments will be performed in the near future.

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Complex radial basis function network을 이용한 비선형 디지털 위성 통신 채널의 등화 (Equalizationof nonlinear digital satellite communicatio channels using a complex radial basis function network)

  • 신요안;윤병문;임영선
    • 한국통신학회논문지
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    • 제21권9호
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    • pp.2456-2469
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    • 1996
  • A digital satellite communication channel has a nonlinearity with memory due to saturation characeristis of the high poer amplifier in the satellite and transmitter/receiver linear filter used in the overall system. In this paper, we propose a complex radial basis function network(CRBFN) based adaptive equalizer for compensation of nonlinearities in digital satellite communication channels. The proposed CRBFN untilizes a complex-valued hybrid learning algorithm of k-means clustering and LMS(least mean sequare) algorithm that is an extension of Moody Darken's algorithm for real-valued data. We evaluate performance of CRBFN in terms of symbol error rates and mean squared errors nder various noise conditions for 4-PSK(phase shift keying) digital modulation schemes and compare with those of comples pth order inverse adaptive Volterra filter. The computer simulation results show that the proposed CRBFN ehibits good equalization, low computational complexity and fast learning capabilities.

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Adaptive Neural Network Control for Robot Manipulators

  • Lee, Min-Jung;Choi, Young-Kiu
    • KIEE International Transaction on Systems and Control
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    • 제12D권1호
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    • pp.43-50
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    • 2002
  • In the recent years neural networks have fulfilled the promise of providing model-free learning controllers for nonlinear systems; however, it is very difficult to guarantee the stability and robustness of neural network control systems. This paper proposes an adaptive neural network control for robot manipulators based on the radial basis function netwo.k (RBFN). The RBFN is a branch of the neural networks and is mathematically tractable. So we adopt the RBFN to approximate nonlinear robot dynamics. The RBFN generates control input signals based on the Lyapunov stability that is often used in the conventional control schemes. The saturation function is also chosen as an auxiliary controller to guarantee the stability and robustness of the control system under the external disturbances and modeling uncertainties.

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자기포화를 고려한 SRM의 토크리플 저감 제어 (Torque Ripple Minimization in Switched Reluctance Motor Drives Considering Magnetic Saturation)

  • 강준호;김재혁
    • 조명전기설비학회논문지
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    • 제28권7호
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    • pp.48-54
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    • 2014
  • This paper discusses study of torque ripple minimization employing an improved TDF(torque distribution function)-based instantaneous torque control to reduce acoustic noise and vibration problem of the SRM. As the flux linkage of the SRM is a nonlinear function of phase current and rotor position, design of optimal controller for the SRM is quite complicated. Hence, an accurate mathematical model considering the nonlinearity of the SRM is required. An improved TDF based torque control has been proposed in order to reduce the toque ripple at high speed operation. Dynamic simulation using Matlab/Simulink as well as Finite Element Analysis is presented. A prototype SRM for electric vehicle traction has been manufactured to validate the experimental results comparing the dynamic simulation results.