• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제49권6호
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• pp.380-386
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• 2000

This paper presents the mathematical modelling analysis of Brushless Synchronous Motor(BLSM). The dynamic and the steady state characteristics of BLSM are simulated and analyzed : electromagnetic torque, speed, line voltage, and current. We used mathematical modelling to model of BLSM with sinusoidal back EMF, namely the shaft transformation referencing rotor frame from a, b, c three to produce constant torque like synchronous motor. The experiment result has already similar to compare with simulation result : torque error about 7%, speed error about 5%. The validity of proposed modelling and analysis was confirmed by the experimental result.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제10권2호
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• pp.156-173
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• 2004

협업 워크플로우 관점에서 비즈니스 프로세스는 기업 내외의 애플리케이션들과 인적 자원들과의 유기적인 결합을 통하여 협업 프로세스를 신속하고 유연하게 수행할 수 있도록 지원하여야 한다. 현재기업 업무에 대한 시스템 의존도가 높아지고는 있지만, 인간은 여전히 핵심적인 역할을 차지한다. 즉 워크플로우 모델링에는 이러한 인간의 역할이 강조되어야 하며 인간 의사결정 과정 자체를 분석하여 인적오류를 제어할 수 있는 구조가 반드시 필요하다. 또한 액티비티간의 협업을 통하여 빠르고 효율적인 커뮤니케이션이 구축되어 궁극적으로는 액티비티들이 목표 프로세스에 연류되어 결과물에 대한 품질이 향상되도록 하여야 한다. 이에 본 논문에서는 협업 워크플로우에서 발생할 수 있는 인적오류를 제어하기 위해 GEMS(Generic Error Modeling System) 모델을 적용한다. 또한 하이브리드 기반의 모델링 방법을 통한 인적오류 제어 방법을 제시한다. 아울러 이러한 기반에서 협업 워크플로우를 모델링할 수 있는 도구를 설계하고 구현한다. 이와 같은 모델링 방법을 사용하면 인간 자체의 특성을 고려함으로써 인적오류를 제어할 수 있는 워크플로우 모델링이 될 수 있도록 지원할 수 있다.

• 한국농공학회지
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• 제45권5호
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• pp.110-116
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• 2003

A catchment modelling system is the summation of the numerous hydrologic, hydraulic and other process models necessary to simulate the response of a catchment to a storm event. Differences between the recorded catchment response and that predicted by a catchment modelling system can arise from structural errors within the catchment modelling system, evaluation errors in the control parameters, or measurement errors in the recorded data being used to assess the reliability of the evaluation of the control parameters. Presented herein is an investigation of the potential measurement errors within the recorded information, which was considered to occur from instrument error in the ultra sonic flow monitor. This investigation was undertaken using three available rating curves at the Musgrave Avenue Stormwater System in Centennial Park, Sydney, developed by Abustan (1997), Water Board (1994), and using Manning's equation.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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• pp.2827-2830
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• 2003

Tele manipulator is distingushed from industrial robot by iterating same specified work. Manipulator operator is included in control loop for controlling the telemanipulator because he decide directly during the work and order controllabily reducing the modelling error of telemanipulator which depend on the PID controller. But position-force control method of bidirectional control impose unsafety of vibiration and Analytic Hierachy Method can stabilize for reducing nonlinear modelling error by expert operator because of transformation empirical control rule to linear model.

• 한국정보통신학회논문지
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• 제24권2호
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• pp.304-310
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• 2020

본 연구는 레이저스캐닝과 포토그래메트리 소프트웨어를 이용한 3D모델링과 실제 수목 사이의 재현 특성(수형, 질감, 세부 치수)을 비교분석하여 그 활용성을 밝히는데 있다. 연구 방법은 포토그래메트리(Pix4d)와 3D스캐너(Faro S350)를 이용하여 향나무를 3D모델링으로 재현하였다. 연구 결과 3D스캐닝과 포토그래메트리 모두 높은 재현성을 보였다. 특히 원거리에서 UAVs로 촬영한 포토그래메트리에 비해, 3D스캐닝 기술은 수피와 잎의 재현에 있어 매우 우수한 결과를 보였다. 수목의 세부 치수를 비교한 결과, 실제 수목과 3D스캐닝 사이의 오차는 1.7~2.2%로 스캐닝 결과가 실제 수목보다 크게 나타났으며, 실제 수목과 포토그래메트리 사이의 오차는 0.2~0.5%로 포토그래메트리에 의한 모델링이 실제 수목보다 크게 측정되었다. 본 연구는 수목의 가상 3D모델링 구현특성을 살핌으로써, 향후 BIM을 위한 조경수목 DB 구축, 증강현실 연계 조경 설계 및 경관 분석, 노거수의 보전 등의 활용을 위한 기초 연구로서 의의를 가진다.

• Structural Engineering and Mechanics
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• 제43권3호
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• pp.371-394
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• 2012

Accurate finite element (FE) models are needed in many applications of Civil Engineering such as health monitoring, damage detection, structural control, structural evaluation and assessment. Model accuracy depends on both the model structure (the form of the equations) and the model parameters (the coefficients of the equations), and can be generally improved through that process of experimental reconciliation known as model updating. However, modelling errors, including (i) errors in the model structure and (ii) errors in parameters excluded from adjustment, may bias the solution, leading to an updated model which replicates measurements but lacks physical meaning. In this paper, an application of ambient-vibration-based model updating to a large-scale benchmark prototype of a building structure is reported in which both types of error are met. The error in the model structure, originating from unmodelled secondary structural elements unexpectedly working as resonant appendages, is faced through a reduction of the experimental modal model. The error in the model parameters, due to the inevitable constraints imposed on parameters to avoid ill-conditioning and under-determinacy, is faced through a multi-model parameterization approach consisting in the generation and solution of a multitude of models, each characterized by a different set of updating parameters. Results show that modelling errors may significantly impair updating even in the case of seemingly simple systems and that multi-model reasoning, supported by physical insight, may effectively improve the accuracy and robustness of calibration.

• 대한원격탐사학회지
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• 제35권1호
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• pp.137-149
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• 2019

Traffic emissions are the main cause of environmental pollution in cities and respiratory problems amongst people. This study developed a model based on an integration of support vector regression (SVR) algorithm and geographic information system (GIS) to map traffic carbon monoxide (CO) concentrations and produce prediction maps from micro level to macro level at a particular time gap in a day in a very densely populated area (Utara-Selatan Expressway-NKVE, Kuala Lumpur, Malaysia). The proposed model comprised two models: the first model was implemented to estimate traffic CO concentrations using the SVR model, and the second model was applied to create prediction maps at different times a day using the GIS approach. The parameters for analysis were collected from field survey and remote sensing data sources such as very-high-resolution aerial photos and light detection and ranging point clouds. The correlation coefficient was 0.97, the mean absolute error was 1.401 ppm and the root mean square error was 2.45 ppm. The proposed models can be effectively implemented as decision-making tools to find a suitable solution for mitigating traffic jams near tollgates, highways and road networks.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권4호
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• pp.294-298
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• 2009

본 연구에서는 에지 성분의 추출을 보다 섬세하게 처리함으로써 이미지 화질을 개선하기 위한 방법을 제안한다. 제안 방법은 고전적인 보간을 응용한 ESII(Edge Sensitive Image Interpolation)으로 보간 커널 식에서 고정된 매개 변수를 사용하지 않고 주변 화소 값으로부터 적절한 정보를 얻어내서 매 화소마다 매개변수를 변화시킨다. LSE(Least Square Error)를 이용하여 CME(Camera Modelling Error)를 최소화 하도록 보간 할 화소 값을 결정함으로써 이미지를 복원하며, 기존 방법에 비교하여 객관적, 주관적 화질이 우수함을 실험, 제시하였으며 또한 영상을 1차원 정보로 분리하여 고려한 결과 계산상의 복잡도를 줄이는 효과를 기대할 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1144-1148
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• 1996

This paper presents WMR modelling and path tracking algorithm using Inertial Navigation System. The error models of gyroscope and accelerometers in INS are derived by Gauss-Newton method which is nonlinear regression model. Then, to test availability of error model, we pursue the fitness diagnosis about probability characteristic for real data and estimated data. Performance of inertial sensor with error model and Kalman filter is pursued by comparing with one without them. The computer simulation shows that position error remarkably decrease when error compensation is applied.

• 한국해양공학회지
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• 제10권1호
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• pp.65-74
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• 1996

Up to now, the existing crack growth modelling has used a mathematical approximation but an assumed function have a great influence on this method. Especially, crack growth behavior that shows very strong nonlinearity needed complicated function which has difficulty in setting parameter of it. The main characteristics of neural network modelling to engineering field are simple calculations and absence of assumed function. In this paper, after discussing learning and generalization of neural networks, we performed crack growth modelling on the basis of above learning algorithms. J'-da/dt relation predicted by neural networks shows that test condition with unlearned data is simulated well within estimated mean error(5%).