• Korean Journal of Oriental Medicine
• /
• v.3 no.1
• /
• pp.119-151
• /
• 1997

Conclusions for the relationship between a conceptional model of stress theory and its examination based on the Oriental medicine; 1. It was considered that a general conception of stress is included into the meaning of Ki in the Oriental medicine. 2. The response-based model to stress could be comparable to a conception of Ki-pathogens interchange In the Onental medicine. 3. The stimulus-based model may be explained as a modern conception of immoderation feeling related with an internal etiological factor, specially injury of seven emotions, among three groups of etiological factors for disease. 4. The feedback conception based on the interaction model could explain the principal of reversible emotion therapy in the nine Ki. 5. In the Oriental medicine, a study to clarify a emotional etiologic factor and its pathophysiologlcal mechanism has been continued for long time before establishment of stress theory.

• Proceedings of the KIEE Conference
• /
• 1999.07b
• /
• pp.693-695
• /
• 1999

In this paper, the adaptive nonlinear state observer is proposed to estimate the internal states and the nonlinearities of 4-cylinders 4-cycles spark ignition(SI) engines. The observed states and nonlinearities will be used to design the adaptive feedback linearization controller for reducing the fluctuation of idle speed. The simulation results are represented to show the validity of the proposed nonlinear observer-based adaptive controller.

• 제어로봇시스템학회:학술대회논문집
• /
• 1991.10a
• /
• pp.305-310
• /
• 1991

In industrial multivariable plants, it is often the case that the plant outputs are detected in a similar components not simultaneously but serially. In this paper, the problem of estimating the state vector of the plant based on the data obtained from such a detecting scheme is considered, and a special type of observer (referred to as a "multiple serial-sampling" type observer) which renews its internal states whenever a new group of data is obtained is proposed. It is proved that such an observer can be constructed for almost every sampling period if the plant is observable as a continuous-time multivariable system, and that the poles of the closed-loop system using the serial-sampling type observer consist of the poles of the observer and those of the state feedback system. The behaviors of the observer and the closed-loop system are studied by simulation. The results of simulation indicate that a multiple serial-sampling type observer can estimate the state of the plant more accurately than the ordinary type observers and improve the closed-loop performance, especially, in the existence of dectecting noise.ing noise.

• 제어로봇시스템학회:학술대회논문집
• /
• 1999.10a
• /
• pp.306-308
• /
• 1999

Recently 2DOF control system has been widely recognized to be efficient. The major merit of 2DOF control is the independency between tracking performance and feedback performance. But the design of two parameters of 2DOF control system is not much considered about the relation between the identification and the design. In the field of robust control, the joint control, which can combine the identification with the design, is investigated. Then are apply the joint control to the design of 2DOF control system, and verify the effectiveness by some simulation.

• Journal of the Korean Society for Railway
• /
• v.8 no.2
• /
• pp.155-160
• /
• 2005

We propose a tram position estimation method for automatic train control system. The accurate train position should be continuously feedback to control system for safe and efficient operation of trains in railway. In this paper, we propose the sensor fusion method integrating a tachometer, a transponder, and a doppler sensor far estimation of train position. The external sensors(transponder, doppler sensor) are used to compensate for the error of internal sensor (tachometer). The Kalman filter is also applied to reduce the measurement error of the sensors. Simulation results are then presented to verify the usefulness of the proposed method.

• 제어로봇시스템학회:학술대회논문집
• /
• 1990.10a
• /
• pp.544-549
• /
• 1990

In industrial multivariable plants, it is often the case that the plant outputs are detected not simultaneously but serially. In this paper, the problem of estimating the state vector of the plant based on the data obtained from such a detecting scheme is considered, and a special type of observer (referred to as a "serial-sampling' type observer) which renews its internal states whenever a new data is obtained is proposed. It is proved that such an observer can be constructed for almost every sampling period if the plant is observable as a continuous-time multivariable system, and that the poles of the closed-loop system using the serial-sampling type observer consist of the poles of the observer and those of the state feedback system. The behaviors of the observer and the closed-loop system are studied by simulation. The results of simulation indicate that a serial-sampling type observer can estimate the state of the plant more accurately than the ordinary type observers and improve the closed-loop performance.ance.

• Korean Medical Education Review
• /
• v.18 no.3
• /
• pp.119-124
• /
• 2016

The Korea Association of Medical Colleges (KAMC) has been developing learning outcomes for basic medical education (BME) since 2012. This initiative is designed to help medical schools implement competency-based medical education. KAMC divided the BME competencies into three domains (clinical practice, scientific concepts and principles, and human beings and society) with learning outcomes for each domain. KAMC plans to revise the learning outcomes to reflect feedback from medical schools, changes in social health needs, and changes in the healthcare environment and healthcare system in the near future. KAMC also plans to specify learning outcomes that integrate the three domains.

• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.492-492
• /
• 2000

This paper proposes LQ optimal controller design method based on the modal decomposition. Here, the design problem of linear time-invariant systems is considered by using pencil model. The mathematical model based on matrix pencil is one of the most general representation of the system. By adding some conditions the model can be reduced to traditional system models. In pencil model, the state feedback is considered as an algebraic constraint between the state variable and the control input variable. The algebraic constraint on pencil model is called purely static mode, and is included in infinite mode. Therefore, the information of the constant gain controller is included in the purely static mode of the augmented system which consists of the plant and the control conditions. We pay attention to the coordinate transformation matrix, and LQ optimal controller is derived from the algebraic constraint of the internal variable. The proposed method is applied to the numerical examples, and the results are verified.

• Animal cells and systems
• /
• v.16 no.1
• /
• pp.1-10
• /
• 2012

Most living organisms synchronize their physiological and behavioral activities with the daily changes in the environment using intrinsic time-keeping systems called circadian clocks. In mammals, the key molecular features of the internal clock are transcription- and translational-based negative feedback loops, in which clock-specific transcription factors activate the periodic expression of their own repressors, thereby generating the circadian rhythms. CLOCK and BMAL1, the basic helix-loop-helix (bHLH)/PAS transcription factors, constitute the positive limb of the molecular clock oscillator. Recent investigations have shown that various levels of posttranslational regulation work in concert with CLOCK/BMAL1 in mediating circadian and cellular stimuli to control and reset the circadian rhythmicity. Here we review how the CLOCK and BMAL1 activities are regulated by intracellular distribution, posttranslational modification, and the recruitment of various epigenetic regulators in response to circadian and cellular signaling pathways.

• Proceedings of the KSR Conference
• /
• 2004.10a
• /
• pp.1205-1211
• /
• 2004

We propose a train position estimation method for automatic train control system. The accurate train position should be continuously feedback to control system for safe and efficient operation of trains in railway. In this paper, we propose the sensor fusion method integrating the tachometer, the transponder, and the doppler sensor for estimation of train position. The external sensors(transponder, doppler sensor) are used to compensate for the error of internal sensor(tachometer). The Kalman filter is also applied to reduce the measurement error of the sensors. Simulation results are then presented to verify the usefulness of the proposed method.