• Transactions of the Korean Society of Mechanical Engineers A
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• 제28권11호
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• pp.1621-1628
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• 2004

This paper proposes a design methodology for the robust observer using the eigenstructure assignment in multi-output systems so that the observer is less sensitive to the ill-conditioning factors such as unknown initial estimation error, modeling error and measurement bias in transient and steady-state observer performance. The robustness of the observer can be achieved by selecting the desired eigenvector matrix to have a small condition number that guarantees the small upper bound of the estimation error. So the left singular vectors of the unitary matrix spanned by space of the achievable eigenvectors are selected as a desired eigenvectors. Also, this paper proposes how to select the desired eigenvector based on the measure of observability and designs the observer with small gain. An example of a spindle drive system is simulated to validate the robustness to the ill-conditioning factors in the observer performance.

• Proceedings of the Korean Institute of Building Construction Conference
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.309-310
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• 2021

In order to respond to environmental problems and to efficiently recycle resources, it is important to evaluate the amount of construction waste generated. In particular, the estimation of the amount of waste generated in the demolition work was performed based on the basic unit of waste generated per floor area. This study proposes a method using drones as a method for evaluating the amount of demolition waste in a wide area. In the simulated application, the field measurement results and the proposed method were compared, and the effectiveness of the building volume calculation using drones was confirmed. It was confirmed that the building volume can be calculated quickly in the additional pilot application.

• Tunnel and Underground Space
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• 제30권2호
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• pp.109-135
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• 2020

Globally, the deepening depth in the underground is a situation of the high interest for a purpose of the development of various facilities. The development of deep underground space should be based on the structural stability of rocks. Spalling is known to have an impact on the structural stability degradation in deep underground space. As an attempt to predict spalling, many researchers have proposed predicted conditions in accordance with stress states which occur around the tunnel, rock conditions, and types of rock. In addition, the analysis on spalling method has been verified by using computer modeling such as FLAC, EXAMINE, Insight 2D, UDEC and FRACOD, along with in-situ measurement results. In Canada URL (Underground Research Tunnel), CWFS model (Cohesion Weakening Frictional Strengthening) was used to precisely predict for the state of spalling, comparing spalling modeling. CWFS model has been identified as a reliable method for predicting such phenomena. This study aims to analyze several cases of spalling, and then make a comparison between the conditions for spalling occurrence and the predicted results of model CWFS. With this, it investigates the applicability of prediction of spalling, targeting pillar under deep depth condition.

• Journal of Korean Society for Quality Management
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• 제35권4호
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• pp.1-15
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• 2007

The purpose of this study is to evaluate the causal relationship among the MBNQA health care criteria in Korean University Hospitals. The survey instrument consists of 109 questions based on the seven MBNQA health care criteria: '1.Leadership', '2.Strategic Planning', '3.Focus on Patients Other Customers. Markets', '4.Measurement Analysis Knowledge Management', '5.Human Resource Focus', '6.Process Management', and '7.Results'. Structural Equation Modeling(SEM) is used to analyze the path coefficients among the seven categories. The results indicate that fourteen hypotheses are statistically significant, among eighteen hypotheses. Conclusively, this study found that Leadership drives systems that create Results through Foundation and Direction.

• Proceedings of the KIEE Conference
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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• pp.179-182
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• 2003

A simulation on bootstrapping circuit has been performed by modelling a coaxial cable as a transmission line. It is shown that the bootstrapping circuit could be unstable due to the transmission line effect though an ideal amplifier is used. While the conventional bootstrapping circuit does not cancel the input capacitance of the input buffer, a new bootstrapping circuit that cancels input capacitance of the input buffer has been proposed. The proposed bootstrapping circuit consists of the input buffer of which gam is larger than 1 and a feedback resistor to control the loop gain. The proposed bootstrapping circuit has higher input impedance than that of the conventional circuit.

• Journal of ILASS-Korea
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• 제21권2호
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• pp.104-110
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• 2016

Main purpose of the current paper is to show results of time lag analysis using phase information of flame transfer function in order to predict combustion instabilities in a gas turbine combustor. The flame transfer function (FTF) is modeled using a commercial Computational Fluid Dynamics (CFD) code (Fluent). Comparisons of the modeled flame shapes with the measured ones were made using the optimized heat transfer conditions and combustion models. The FTF modeling results show a quite good agreement with the measurement data in predicting the phase delay (i.e. time lag). Time lag analysis results using the phase of FTF shows better combustion instability prediction accuracy than using time lag calculated from the steady state flame length.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.558-563
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• 1992

In this paper an identification of nonlinear continuous systems by using neural network is considered. The nonlinear continuous system is identified by two steps. At first, a linear approximate model of the continuous system with nonlinearity is obtained by IIR filtering approach. Then the modeling error due to the nonlinearity is reduced by a neural network compensator. The teaching signals to train the neural network is gotten by smoothing the measurement data corrupted by noise. An illustrative example is given to demonstrate the effectiveness of the proposed approach.

• Proceedings of the KSME Conference
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• 대한기계학회 2000년도 추계학술대회논문집A
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• pp.548-553
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• 2000

A new design of cylindrical capacitive sensor(CCS) for the displacement measurement of precision active magnetic bearing(AMB) spindle is presented in this paper. This research is motivated by the problem that existing 4-segment CCS is still sensitive to the $3^{rd}$ harmonic component of the geometric errors of a rotor. The procedure of designing new CCS starts from the modeling and error analysis of CCS. The angular size of CCS is set up as a design parameter, and new 8-segment CCS is introduced to possess an arbitrary angular size. The optimum geometry of CCS to minimize the effect of geometric errors is determined through minimum norm approach. Experimental results with test rotors have confirmed the improvement in geometric error suppression.

• Communications for Statistical Applications and Methods
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• 제10권1호
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• pp.239-246
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• 2003

Statisticians, or data miners, are often requested to assess the importances of input variables in the given supervised learning model. For the purpose, one may rely on separate ad hoc measures depending on modeling types, such as linear regressions, the neural networks or trees. Consequently, the conceptual consistency in input variable importance measures is lacking, so that the measures cannot be directly used in comparing different types of models, which is often done in data mining processes, In this short communication, we propose a unified approach to the importance measurement of input variables. Our method uses sensitivity analysis which begins by perturbing the values of input variables and monitors the output change. Research scope is limited to the models for continuous output, although it is not difficult to extend the method to supervised learning models for categorical outcomes.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 한국측량학회 2002년도 추계학술발표회 논문집
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• pp.117-120
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• 2002

일반적으로 많은 건축물들은 형태의 규칙성에 기인된 일련의 정의된 규칙을 이용하여 축조된다. 하지만, 기존 사진실측으로 건축물에 대한 3차원 모델링을 수행하기 위해서는 많은 기준점의 배치, 영상의 피복범위에 따른 촬영점 선점, 중복도 고려 등 다소 복잡한 절차가 수반된다. 본 연구에서는 평행, 수직성, 평면과 같은 대상물에 대한 사전정보가 유용하게 적용될 수 있는 건축물의 3차원 재건분야에 직선측정기법을 적용함으로써, 기존의 까다로운 조건을 탈피하여 보다 효율적으로 3차원 모델을 재현해 본 후, 정확도 검증을 통해 건축물 사진측량 분야에 이러한 기법의 효용 가능성을 제시하고자 하였다.