• Title/Summary/Keyword: 이선형 모델

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Model-based Ozone Forecasting System using Fuzzy Clustering and Decision tree (퍼지 클러스터링과 결정 트리를 이용한 모델기반 오존 예보 시스템)

  • 천성표;이미희;이상혁;김성신
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.458-461
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    • 2004
  • 오존 반응 메카니즘은 상당히 복잡하고 비선형적이기 때문에 오존 농도를 예측하는 것은 상당한 어려움을 안고 있다 따라서, 신뢰성 높은 오존 예측값을 구하는데 단일 예측모델만으로는 한계가 있으며, 이를 개선하기 위하여 다중 모델을 제안하였다. 입력데이터에 퍼지 클러스터링을 사용하여 고, 중, 저농도별로 그룹핑한 후, 그룹핑된 오존농도에 대해서 의사결정 트리를 사용하여 그룹핑된 오존데이터가 어느 정도 분류능력을 갖는지 파악하여, 오차가 가장 적은 분류특성을 갖는 그룹을 설정하여, 다중모델의 입력 데이터로 사용하여 모델을 형성하였다. 의사결정 트리를 이용하여 모델의 입력 데이터를 설정하는 것은 어떤 오존농도까지의 범위를 클래스로 설정하느냐에 따라서 모델의 성능과 고, 중, 저농도의 오존을 분류하는 성능이 달라지므로 본 논문에서는 퍼지 클러스터링을 이용하여 의사결정 트리의 클래스의 범위를 설정하여 예측 시스템을 구현하였다.

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Diffraction Effects of Parabolic Mild-Slope Equations in the Shadow Zone behind a Detached Breakwater (이안제 배후 차폐역에서 포물선형 완경사방정식의 회절효과)

  • 김인철
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.8 no.4
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    • pp.297-304
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    • 1996
  • The purpose of this study is to observe the applicability of parabolic mild-slope equations allowing relatively large angles of wave propagation based on the use of a Pade approximant or minimax approximation and also the applicability of the models with nonlinearity of diffracted waves in the shadow zone behind coastal structures. To accomplish these objectives, numerical solutions are obtained from the above parabolic models and are compared with the results from Watanabe and Maruyama's(1984) hydraulic model test on the wave field with an impermeable detached breakwater. From this study, it is found that computed wave heights increase for the nonlinear results in comparison to the linear results due to the increased diffraction effect across the geometric shadow boundary. The model with a larger aperture with respect to the principal direction was found to spread laterally to a much greater degree where spreading angle (diffraction effect) is relatively large. which causes a distortion in the overall results due to the error accumulated by the approximation of wave length.

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Zoom Lens Distortion Correction Of Video Sequence Using Nonlinear Zoom Lens Distortion Model (비선형 줌-렌즈 왜곡 모델을 이용한 비디오 영상에서의 줌-렌즈 왜곡 보정)

  • Kim, Dae-Hyun;Shin, Hyoung-Chul;Oh, Ju-Hyun;Nam, Seung-Jin;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.14 no.3
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    • pp.299-310
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    • 2009
  • In this paper, we proposed a new method to correct the zoom lens distortion for the video sequence captured by the zoom lens. First, we defined the nonlinear zoom lens distortion model which is represented by the focal length and the lens distortion using the characteristic that lens distortion parameters are nonlinearly and monotonically changed while the focal length is increased. Then, we chose some sample images from the video sequence and estimated a focal length and a lens distortion parameter for each sample image. Using these estimated parameters, we were able to optimize the zoom lens distortion model. Once the zoom lens distortion model was obtained, lens distortion parameters of other images were able to be computed as their focal lengths were input. The proposed method has been made experiments with many real images and videos. As a result, accurate distortion parameters were estimated from the zoom lens distortion model and distorted images were well corrected without any visual artifacts.

A Study of Short-Term Load Forecasting System Using Data Mining (데이터 마이닝을 이용한 단기 부하 예측 시스템 연구)

  • Joo, Young-Hoon;Jung, Keun-Ho;Kim, Do-Wan;Park, Jin-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.2
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    • pp.130-135
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    • 2004
  • This paper presents a new design methods of the short-term load forecasting system (STLFS) using the data mining. The structure of the proposed STLFS is divided into two parts: the Takagi-Sugeno (T-S) fuzzy model-based classifier and predictor The proposed classifier is composed of the Gaussian fuzzy sets in the premise part and the linearized Bayesian classifier in the consequent part. The related parameters of the classifier are easily obtained from the statistic information of the training set. The proposed predictor takes form of the convex combination of the linear time series predictors for each inputs. The problem of estimating the consequent parameters is formulated by the convex optimization problem, which is to minimize the norm distance between the real load and the output of the linear time series estimator. The problem of estimating the premise parameters is to find the parameter value minimizing the error between the real load and the overall output. Finally, to show the feasibility of the proposed method, this paper provides the short-term load forecasting example.

Design of Rigid Joints Using Strut-Tie Model (스터럿-타이 모델에 의한 강절점 영역설계에 관한 연구)

  • Won, Dae-Yon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.18 no.1
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    • pp.31-39
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    • 2014
  • In order to design rigid zone area of frame structures, it is important to predict the direction change of internal stresses according to the bending moment acting on the joint region. In this study, it was examined whether current highway bridge design standards are useful to design different types of rigid joints having a various haunch shapes. In addition, stress distributions of inside of various rigid joints were inspected using the linear elastic finite element analysis. Based on the results of finite element analysis, the strut-tie models to design rigid joints are proposed. Suggested by this study, the strut-tie models have a same level of accuracy to a linear elastic finite element analysis. The proposed strut-tie models will be useful to design reinforcement details of rigid joints having a various haunch types.

Intelligent Digital Control of a Single Link Flexible-Joint Robot with Uncertainties (불확실성을 갖는 단일 링크 유연로봇의 지능형 디지털 제어)

  • Jang Kwon Kyu;Joo Young Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.3
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    • pp.318-323
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    • 2005
  • In this paper, we propose a systematic method of a fuzzy-model-based controller for continuous-time nonlinear dynamical systems which may contain uncertainties. The continuous-time uncertain TS fuzzy model is first constructed to represent the uncertain nonlinear system. A parallel distributed compensation (PDC) technique is then used to design a fuzzy model based controller for both stabilization and tracking. Finally, the designed continuous-time controller is converted to an equivalent discrete-time controller by using an intelligent digital redesign method. This new design technique provides a systematic and effective framework for integration of the fuzzy model based control theory and the advanced digital redesign technique for nonlinear dynamical systems with uncertainties. Finally, the single link flexible-joint robot arm is used as an illustrative example to show the effectiveness and the feasibility of the developed design method.

Analytical Models of Beam-Column joints in a Unit Modular Frame (단위 모듈러 구조체의 보-기둥 접합부 해석 모델)

  • Choi, Kyung-Suk;Kim, Hyung-Joon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.6
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    • pp.663-672
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    • 2014
  • Recently, modular structural systems have been applicable to building construction since they can significantly reduce building construction time. They consists of several unit modular frames of which each beam-column joint employs an access hole for connecting unit modular frames. Their structural design is usually carried out under the assumption that their load-carrying mechanism is similar to that of a traditional steel moment-resisting system. In order to obtain the validation of this assumption, the cyclic characteristics of beam-column joints in a unit modular frame should be investigate. This study carried out finite element analyses(FEM) of unit modular frames to investigate the cyclic behavior of beam-column joints with the structural influence of access holes. Analysis results show that the unit modular frames present stable cyclic response with large deformation capacities and their joints are classified into partial moment connections. Also, this study develops a simple spring model for earthquake nonlinear analyses and suggests the Ramberg-Osgood hysteretic rule to capture the cyclic response of unit modular frames.

A Study on the analysis of ship motion using system identification method (시스템 식별법을 이용한 선체운동 해석에 관한 연구)

  • Song, Jaeyoung;Yim, Jeong-Bin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.271-271
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    • 2019
  • Estimating ship motion is difficult because it take place in complex environments.. Estimating ship motion is an important factor in ensuring the safety of ship, so accurate estimates are needed. Existing motion-related studies compare the apparent motion of the model acquired and the reference model by experimenting with the ship motion on a particular alignment, making it difficult to intuitively estimate the hull motion. This study introduces the concept of estimating the characteristics of ship motion as a transfer function through pole-zero interpretation and frequency response analysis by applying the method of transfer function of Linear-Time Invariant system. Ship motion analysis model using Linear-Time Invariant system is consist with 1) wave as input signal 2) ship motion as output signal 3) hull defined as black box. This model can be defined by numericalizing the ship motion as a transfer function and is expected to facilitate the characterization of the ship motion through pole-zero analysis and frequency response analysis.

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A Test on the Aseismic capacity of a Traditional Three-bay-straw-roof House(II): Soil Site Condition (전통 초가삼간 가옥의 내진성능 평가 실험 (II): 연약지반 조건)

  • 서정문;최인길;전영선;이종림;신재철
    • Journal of the Earthquake Engineering Society of Korea
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    • v.1 no.4
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    • pp.21-28
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    • 1997
  • The aseismic capacity of a traditional three-bay-straw-roof wooden house for soft soil site condition is quantitatively estimated. One 1/4 scale model was tested for the Imperial Valley Earthquake up to failure. The natural frequency of the wooden house measured in elastic range is 1.66 Hz and 1.76 Hz in the longitudinal and transversal direction, respectively. Damping ratio of the house measured in elastic range is 7%. The peak horizontal acceleration response of the house was reduced compared with input motion due to the nonlinear inelastic characteristics of the wooden frame. The horizontal displacement response was significantly increased as the level of input motion was increased. The model was collapsed at 0.25g due to the low frequency contents of the input motion. The results of nonlinear seismic analysis were compared with the test results.

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Phonon Scattering and Impact ionization for Silicon using Full Band Model at 77K (풀밴드 모델을 이용한 77K Si의 포논산란 및 임팩트이온화에 관한 연구)

  • 유창관;고석웅;정학기;이종인
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.11a
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    • pp.552-554
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    • 1999
  • Phonon scattering and impact ionization models have been presented to analyze hot carrier transport in high energy region, using full band model and Fermi's golden rule. We have investigated temperature dependent properties for impact ionization process of Si using realistic energy band structures at 77K and look. The realistic full band model, obtained from the empirical pseudopotential method with local from factors, is used to calculate scattering rate. The accurate calculation of impact ionization rate requires the use of a wavevector- and frequency-dependent dielectric function ξ ( q,$\omega$). The empirical phonon scattering rate P$\sub$ph/, is given by deriving from linear function for P$\sub$ph/ versus D(E) since the phonon scattering rate is linearly depended on density of states D(E). Impact ionization rate p,, is calculated from the first principle's theory. and fitted by modified Keldysh formula having power of above 2.

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