• Proceedings of the KAIS Fall Conference
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• 2001.05a
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• pp.129-134
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• 2001

본 논문에서는 자동차 계기판 지시계 구동용 액츄에이터 연구의 일환으로써 소형 2상 스텝모터에 대하여 유한요소 수치해석을 이용한 설계, 해석 및 One Chip을 이용한 유량, 온도, RPM 및 속도 지시계 동시제어용 전용 구동 IC를 설계하였다. 일반적으로 자동차 계기판에 사용되어지고 있는 지시계의 구동원으로 코일형의 액츄에이터를 사용하고 있으나, 동작구간내의 선형성 및 속응성 저하와 구조상 큰 체적으로 인한 공간확대의 문제가 야기되어지고 있다. 따라서, 본 연구에서는 고 에너지 밀도를 갖는 소형의 영구자석과 저 손실 특성을 갖는 정밀 기어부 설계를 통하여 경량. 박형의 PM형 스텝모터를 설계하였으며. 또한 다수 모델 제어용 전용 드라이버 IC 설계 및 제작을 하였다. 실제로 제작한 모델을 대상으로 특성평가를 행하였으며, 이로부터 높은 선형성 및 고정밀도와 저소음 특성을 갖는 자동차 계기판 지시계용 구동원 및 드라이버의 활용 가능성을 확인 할 수 있었다.

• Proceedings of the KIPE Conference
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• 2012.07a
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• pp.405-406
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• 2012

본 논문은 확장형 회전자 자속 모델 기반의 칼만 필터를 이용한 매입형 영구자석 동기 전동기 센서리스 제어에 관한 연구이다. 또한 센서리스 구동의 성능을 향상시키기 위하여 간단한 제정수 추정 방법을 제안하였다. 매입형 영구자석 동기전동기 구동 시스템은 비선형성과 제정수 변동 이라는 문제점을 가지고 있다. 이러한 주요 문제점을 극복하기 위하여, 우선 칼만 필터를 이용한 확정형 회전자 자속 추정을 통해 다양한 노이즈를 포함한 비선형 시스템에서의 높은 성능적 안정성을 가질 수 있다. 제정수 추정 기법 또한 제정수의 변동을 감소시키기 위하여 제안하였다. 본 논문에서 제안한 센서리스 제어방법과 제정수 추정 방법의 타당성을 확인하기 위하여 모의실험과 실제실험 세트를 구성하여 실제값과 실험값을 비교하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.297-300
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• 2006

본 논문에서는 비선형 기동표적의 추적에 대한 새로운 접근 방식을 소개한다. 이 논문에서는 표적의 가속도를 시변 변수인 표적의 추가적인 잡음으로 두고 각각의 가속도 간격의 정도에 따라 얻어지는 모든 잡음에 대한 변수에 의해 각각의 하부 모델들을 특성화시켰다. 표적의 기동중에 나타나는 가속도를 효과적으로 다루기 위하여, 잡음의 크기가 급격히 증가할 경우 증가분을 가속도로 인식하여 기동표적 관계식에 이용하였다. 또한 모르는 가속도에 따른 시변 변수를 적응적으로 어립잡기는 어렵기 때문에 정밀한 계산을 위하여 퍼지 뉴럴 네트워크와 적응 상호작용 다중모델 기법을 이용하였다. 퍼지 뉴럴 네트워크의 동정을 위해서는 오차 역전파 학습법을 사용하였다. 그리고 제안된 알고리즘의 수행 가능성을 보여주기 위하여 몇 가지 예를 제시하였다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.16 no.2
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• pp.237-248
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• 2014

Linear cutting test is known to be very effective to determine machine parameters (i.e. thrust force and torque) and to estimate penetration rate of TBM and other operation conditions. Although the linear cutting test has significant advantages, the test is expensive and time-consuming because it requires large size specimen and high load capacity of the testing machine. Therefore, a few empirical prediction models (e.g. CSM, NTNU and QTBM) alternatively adopt laboratory index tests to estimate design parameters of TBM. This study discusses the estimation method of TBM machine parameters and disc cutter consumption using punch penetration test and Cerchar abrasion test of which the researches are rare. The cutter forces and cutter consumption can be estimated by the empirical models derived from the relationship between laboratory test result with field data and linear cutting test data. In addition, the estimation process was programmed through which the design parameters of TBM (e.g. thrust, torque, penetration rate, and cutter consumption) are automatically estimated using laboratory test results.

• The Journal of Engineering Geology
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• v.21 no.4
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• pp.361-367
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• 2011

The uniaxial compressive strength (UCS) is an important factor in the design and construction of surface and underground structures. However, the method employed to measure UCS is time consuming and expensive to apply in the field. Therefore, we developed a model to estimate UCS based on a few properties using linear regression analysis, which is a statistical method. To develop the model, valid factors from the test results were selected from a correlation analysis using a statistical program, and the model was formulated by linear regression based on the relationships among factors. UCS estimates derived from the model were compared with the results of UCS tests, to assess the reliability of the model. The relationship between rock properties and UCS indicates that the factors with the greatest influence on UCS are point load strength and shape facto r. The UCS values obtained using the model are in good agreement with the results of the UCS test. Therefore, the developed model may be used to estimate the UCS of rocks in regions with similar conditions to those of the present study area.

• Journal of Korea Water Resources Association
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• v.50 no.11
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• pp.781-793
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• 2017

In this study, applicabilities of aerodynamic approaches for the estimation of pan evaporation were evaluated on 56 study stations in South Korea. To accomplish this study purpose, previous researchers' evaporation estimation equations based on aerodynamic approaches were grouped into seven generalized evaporation models. Furthermore, four multiple linear regression (MLR) models were developed and tested. The independent variables of MLR models are meteorological variables such as wind speed, vapor pressure deficit, air temperature, and atmospheric pressure. These meteorological variables are required for the application of aerodynamic approaches. In order to consider the effect of autocorrelation, MLR models were developed after differencing variables. The applicability of MLR models with differenced variables was compared with that of MLR models with undifferenced variables and the comparison results showed no significant difference between the two methods. The study results have indicated that there is strong correlation between estimated pan evaporation (using aerodynamic models and MLR models) and measured pan evaporation. However, pan evaporation are overestimated during August, September, October, November, and December. Most of meteorological variables that are used for MLR models show statistical significance in the estimation of pan evaporation. Vapor pressure deficit was turned out to be the most significant meteorological variable. The second most significant variable was air temperature; wind speed was the third most significant variable, followed by atmospheric pressure.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.31 no.6
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• pp.339-346
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• 2018

An Industry Foundation Classes(IFC), which is a data schema developed focusing on architecture, is being expanded to civil engineering structures. However, it is difficult to create an information model based on extended IFC since the BIM software cannot provide support functions. To manage a railway track based on the extended IFC, this paper proposed a method to create an alignment-centered separated railway track model and convert it to an extended IFC-based information model. First, railway track elements have been classified into continuous and discontinuous structures. The continuous structures were created by an alignment-based software, and discontinuous structures were created as independent objects through linkage of the discretized alignment. Second, a classification system and extended IFC schema for railway track have been proposed. Finally, the semantic information was identified by using the property of classification code and user interface. The availability of the methods was verified by developing an extended IFC-based information model of the Osong railway site.

• Journal of the Korea Computer Industry Society
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• v.6 no.3
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• pp.495-508
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• 2005

Moving objects are spatiotemporal data that change their location or shape continuously over time. Their location coordinates are periodically measured and stored i3l the application systems. The linear function is mainly used to estimate the location information that is not in the system at the query time point. However, a new method is needed to improve uncertainties of the location representation, because the location estimation by linear function induces the estimation error. This paper proposes an application method of the cubic spline interpolation in order to reduce deviation of the location estimation by linear function. First, we define location information of the moving object on the two-dimensional space. Next, we apply the cubic spline interpolation to location estimation of the proposed data model and describe algorithm of the estimation operation. Finally, the precision of this estimation operation model is experimented. The experimentation comes out more accurate results than the method by linear function.

• Journal of the Earthquake Engineering Society of Korea
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• v.10 no.4 s.50
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• pp.35-44
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• 2006

The purpose of this study is to investigate the inelastic behavior of hollow reinforced concrete bridge columns under varying axial load. The role of the variable axial load is very important in the ductility, strength, stiffness, and energy dissipation. A computer program, named RCAHEST (Reinforced Concrete Analysis in Higher Evaluation System Technology), for the analysis of reinforced concrete structures was used. Material nonlinearity is taken into account by comprising tensile, compressive and shear models of cracked concrete and a model of reinforcing steel. The proposed numerical method for the inelastic behavior of hollow reinforced concrete bridge columns under varying axial load is verified by comparison with reliable experimental results.

• Journal of the Earthquake Engineering Society of Korea
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• v.11 no.5
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• pp.49-59
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• 2007

The purpose of this study is to investigate the seismic behavior of reinforced concrete bridge columns using shaking table tests. A computer program, named RCAHEST (Reinforced Concrete Analysis in Higher Evaluation System Technology), for the analysis of reinforced concrete structures was used. Material nonlinearity is taken into account by comprising tensile, compressive and shear models of cracked concrete and a model of reinforcing steel. Solution of the equations of motion is obtained by numerical integration using Hither-Hughes-Taylor (HMT) algorithm. The proposed numerical method for the seismic behavior of reinforced concrete bridge columns using shaking table tests is verified by comparison with reliable experimental results.