• Journal of Chest Surgery
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• v.17 no.1
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• pp.59-66
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• 1984

After open heart surgery, the patient must be carefully observed and adequately managed for his survival. This report reviewed 10 cases of ventricular septal defect and 12 mitral valvular diseases as hemodynamics early after open heart surgery. For postoperative 24 hours, clinical status was evaluated for left atrial pressure, central venous pressure,DP[LAP-CVP], peak systolic pressure, heart rate, urine amount, and other clinical findings. Especially, on postoperative fourth hour, cardiac output was most decreased, when the changes of monitoring were compared with two groups with or without using cardiotonics. Finally, we concluded as followings; 1.Postoperatively, variation of CVP was noted in VSD, but mitral valvular disease was more variable change of LAP. 2.DP was 1.3\ulcorner.4 cmH2O in VSD, and 6.4\ulcorner.2 cmH2O in mitral valvular disease. 3.Parameter using cardiotonic was CVP in VSD, and LAP in mitral valvular disease.

• Proceedings of the Korean Nuclear Society Conference
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• 1995.10a
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• pp.223-229
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• 1995

Loose Par Monitoring System(LPMS) is one of the fundamental diagnostic tools installed in the nuclear power plants. In this paper, recovery process algorithm and model for the corrupted impact signal generated by loose parts is presented. The characteristics of this algorithm can obtain a proper burst signal even though background noise is considerably high level comparing with actual impact signal. To verify performance of the proposed algorithm, we evaluate mathematically signal-to-noise ratio of primary output and noise. The performance of this recovery process algorithm is shown through computer simulation.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.416-422
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• 2010

Estimating condition of geotechnical structures are difficult because of nonlinear time dependency and seasonal effects. Measuring data of structure failure is highly variable in time and space, and a unique approach cannot be defined to model structure movements. Characteristics of movements are obtained by using a statistical method called Principal Component Analysis(PCA). The PCA is a non-parametric method to separate unknown, statistically uncorrelated source processes from observed mixed processes. Instead, since the "best" mathematical relationship is estimated for given data sets of the input and output measured from target systems. As a consequence, this method is advantageous in modeling systems whose geomechanical properties are unknown or difficult to be measured.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.12
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• pp.78-86
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• 1999

The improvement of the water level control is important since it will prevent the steam generator trip so that improve the reliability and credibility of operation system. In this paper, the closed loop system identification is performed which can be used for the system monitoring and prediction of the system response. The model also can be used for the prediction control. Irving model is used as a steam generator model. The plant is an open loop unstable and non-minimum phase system. Fuzzy controller stabilize the system and the stable controller stabilize the system and the stable closed loop system is identified using neural networks. The obtained neural network model is validated using the untrained input and output. The results of computer simulation show the obtained Neural Network model represents the closed loop system well.

• Proceedings of the KAIS Fall Conference
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• 2002.11a
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• pp.171-173
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• 2002

본 논문은 기존의 PC기반의 웹 서버를 이용한 것이 아닌 리눅스 기반의 임베디드 웹 서버를 제작하여 원격지 하드웨어의 제어와 감시를 구현했다. 리눅스는 2.4.1 버전을 ARM7 보드에 포팅했으며 웹 서버는 GPL(General Public License)규약인 Boa web server를 사용했다. 원격지 감시와 제어를 위해 Cirrus Logic의 ARM7 칩인 EP7312의 GPIO(General Purpose Inpout Output) B포트에 입력장치와 출력장치를 연결시켜 실험하였다. 리눅스 운영체제 환경에서의 GPIO 장치 드라이버를 작성하고 이를 구동시키는 응용프로그램은 리눅스용 C언어를 CGI프로그램화시켜 클라이언트 PC의 웹 브라우저에서 제어와 감시가 가능하게 했다. 이는 기존의 PC기반의 웹 서버를 사용하는 것 보다 비용절감이라는 장점이 있고 또한 운영체제 없이 구현되는 웹 서버보다는 응용 범위의 다양성과 개발기간 단축이라는 장점을 가지고 있다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.04b
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• pp.97-101
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• 1993

In this work, the imaginary part of the inner modulation transfer function of the cutting dynamics is introduced for tool wear monitoring. Time-series method is utilized to construct the generalthree dimensional cutting dynamics whose imaginary part of the inner modulation transfer funcition shows the proportionality to tool wear at the natural frequency of the machine tool dynamics. This modelis reduced to single-input single- output model without altering the proporitonality characteristics to tool wear and implemented to the dual computer system in which one computer performs measurement while the other calculates the imaginary part of the inner modulation transfer function of th cutting dynamics by the batchleast square method. The values of the imaginary part at the natural frequencyof the machine tool structure in the cutting direction are compared to the one calculated during machining with a brand new tool to decide the current stants of the tool. The experiments shows the relevance of the proposed concept.

• Smart Structures and Systems
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• v.7 no.2
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• pp.153-167
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• 2011

The Subspace based System Identification Techniques (SSIT) have been very popular within the research circles in the last decade due to their proven superiority over the other existing system identification techniques. For operational (output only) modal analysis, the stochastic SSIT and for operational modal analysis in the presence of exogenous inputs, the combined deterministic stochastic SSIT have been used in the literature. This study compares the application of the two alternative techniques on a typical school building in Istanbul using 100 Monte Carlo simulations. The study clearly shows that the combined deterministic stochastic SSIT performs superior to the stochastic SSIT when the techniques are applied on noisy data from low to mid rise stiff structures.

• Structural Monitoring and Maintenance
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• v.1 no.4
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• pp.427-449
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• 2014

A hybrid optimization method for the identification of state-space models is presented in this study. Hybridization is succeeded by combining the advantages of deterministic and stochastic algorithms in a superior scheme that promises faster convergence rate and reliability in the search for the global optimum. The proposed hybrid algorithm is developed by replacing the original stochastic mutation operator of Evolution Strategies (ES) by the Levenberg-Marquardt (LM) quasi-Newton algorithm. This substitution results in a scheme where the entire population cloud is involved in the search for the global optimum, while single individuals are involved in the local search, undertaken by the LM method. The novel hybrid identification framework is assessed through the Monte Carlo analysis of a simulated system and an experimental case study on a shear frame structure. Comparisons to subspace identification, as well as to conventional, self-adaptive ES provide significant indication of superior performance.

• Journal of the Korea Institute of Military Science and Technology
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• v.9 no.3
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• pp.132-140
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• 2006

In this paper, a new fault detection method for the extended Kalman filter, which uses a N-step predictor, is proposed. The N-step predictor performs the only time propagations for N-step intervals without measurement updates and its output is used as a monitoring signal for the fault detection. A consistency between the extended Kalman filter and the N-step predictor is tested to detect a fault. A test statistic is defined by the difference between the extended Kalman filter and the N-step predictor. The proposed method is applied to strapdown inertial navigation system (SDINS). By computer simulation, it is shown that the proposed method detects a fault effectively.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2690-2692
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• 2005

CAN communication can minimize the interfacing lines between equipments because it is composed of only the input and output lines, also is used for automatic system including vehicle, aircraft, railway vehicles and robot because the reliability of data is high by the capability of data-related error detect and correcting function. It can also improve the low-reliable and inefficient system which is composed of the existing Wiring Harness(W/H), so in case of vehicle, it is used in place of the present ECU as the new electro-control unit. In this paper, we constructed the electro-control unit of vehicle by using CAN communication and implemented system that could monitor the condition of vehicle through the web or mobile by connecting the electro-control unit to imbedded system. Such a system is expected to be helpful to the intelligent vehicle and the adoption of ACC(Adaptive Cruise Control).