• Title/Summary/Keyword: physically based model

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Physically-based Haptic Rendering of a Deformable Object Using Two Dimensional Visual Information for Teleoperation (원격조작을 위한 이차원 영상정보를 이용한 변형체의 물리적 모델 기반 햅틱 렌더링)

  • Kim, Jung-Sik;Kim, Jung
    • 한국HCI학회:학술대회논문집
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    • 2008.02c
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    • pp.19-24
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    • 2008
  • This paper presents a physically-based haptic rendering algorithm for a deformable object based on visual information about the intervention between a tool and a real object in a remote place. The physically-based model of a deformable object is created from the mechanical properties of the object and the captured image obtained with a CCD camera. When a slave system exerts manipulation tasks on a deformable object, the reaction force for haptic rendering is computed using boundary element method. Snakes algorithm is used to obtain the geometry information of a deformable object. The proposed haptic rendering algorithm can provide haptic feedback to a user without using a force transducer in a teleoperation system.

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THE PHYSICALLY-BASED SOIL MOISTURE BALANCE MODEL DEVELOPMENT AND APPLICATIONS ON PADDY FIELDS

  • Park, Jae-Young;Lee, Jae-Hyoung
    • Water Engineering Research
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    • v.1 no.3
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    • pp.243-256
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    • 2000
  • This physically-based hydrologic model is developed to calculate the soil-moisture balance on paddy fields. This model consists of three modules; the first is the unsaturated module, the second is the rice evapotranspiration module with SPAC(soil-plant-atmospheric-continuum), and the third is the groundwater and open channel flows based upon the interrehtionship module. The model simulates the hydrlogical processes of infiltration, soil water storage, deep perocolation or echarge to the shallow water table, transpiration and evaporation from the soil surface and also the interrelationship of the groundwater and river flow exchange. To verify the applicability of the developed model, it was applied to the Kimjae Plains, located in the center of the Dongjin river basin in Korea, during the most serious drought season of 1994. The result shows that the estimated water net requirement was 757mm and the water deficit was about 5.9% in this area in 1994. This model can easily evaluate the irrigated water quantity and visualize the common crop demands and soil moisture conditions.

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B-spline Volume BRDF Representation and Application in Physically-based Rendering (물리기반 렌더링에서의 비스플라인 볼륨 BRDF 표현과 응용)

  • Lee, Joo-Haeng;Park, Hyung-Jun
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.6
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    • pp.469-477
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    • 2008
  • Physically-based rendering is an image synthesis technique based on simulation of physical interactions between light and surface materials. Since generated images are highly photorealistic, physically-based rendering has become an indispensable tool in advanced design visualization for manufacturing and architecture as well as in film VFX and animations. Especially, BRDF (bidirectional reflectance distribution function) is critical in realistic visualization of materials since it models how an incoming light is reflected on the surface in terms of intensity and outgoing angles. In this paper, we introduce techniques to represent BRDF as B-spline volumes and to utilize them in physically-based rendering. We show that B-spline volume BRDF (BVB) representation is suitable for measured BRDFs due to its compact size without quality loss in rendering. Moreover, various CAGD techniques can be applied to B-spline volume BRDFs for further controls such as refinement and blending.

Assessment of Landslide Susceptibility of Physically Based Model Considering Characteristics of the Unsaturated Soil (불포화지반 특성을 고려한 물리적 사면 모델 기반의 산사태 취약성 분석)

  • Kim, Jin Seok;Park, Hyuck Jin
    • Economic and Environmental Geology
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    • v.47 no.1
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    • pp.49-59
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    • 2014
  • Rainfall-induced landslides are caused by reduction of effective stress and shear strength due to rainfall infiltration. In order to analyze the susceptibility of landslides, the statistical analysis approach has been used widely but this approach has the limitation which cannot take into account of landslide triggering mechanism. Therefore, the physically based model which can consider the process of landslide occurrence was proposed and commonly used. However, the most previous physically based model analyses evaluate and consider the strength characteristics for saturated soil only in the susceptibility analysis. But the strength parameters for unsaturated soil such as matric suction should be considered with the strength parameters for saturated soil since the shear strength in unsaturated soil also plays important role in the stability of slope. Consequently this study suggested the modified physically based slope model which can evaluate strength characteristics for both of saturated and unsaturated soils. In addition, this study evaluated the thickness of saturated part in slope with rainfall intensity and hydraulic characteristics of slope on the basis of physically based model. In order to evaluate the feasibility, the proposed model was applied to practical example in Jinbu area, Gangwon-do, which was experienced large amount of landslides in July 2006. The ROC graph analysis was used to evaluate the validation of the model, and the analysis results were compared with the results of the previous analysis approach.

A Physically Based Dynamic Recrystallization Model for Predicting High Temperature Flow Stress (열간 유동응력 예측을 위한 물리식 기반 동적 재결정 모델)

  • Lee, H.W.;Kang, S.H.;Lee, Y.S.
    • Transactions of Materials Processing
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    • v.22 no.8
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    • pp.450-455
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    • 2013
  • In the current study, a new dynamic recrystallization model for predicting high temperature flow stress is developed based on a physical model and the mean field theory. In the model, the grain aggregate is assumed as a representative volume element to describe dynamic recrystallization. The flow stress and microstructure during dynamic recrystallization were calculated using three sub-models for work hardening, for nucleation and for growth. In the case of work hardening, a single parameter dislocation density model was used to calculate change of dislocation density and stress in the grains. For modeling nucleation, the nucleation criterion developed was based on the grain boundary bulge mechanism and a constant nucleation rate was assumed. Conventional rate theory was used for describing growth. The flow stress behavior of pure copper was investigated using the model and compared with experimental findings. Simulated results by cellular automata were used for validating the model.

Physically-based Soil-water Erosion Model - Based on Hairsine and Rose's Concept - (물리적인 기반의 토양침식모델 개발)

  • 김성준
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.4
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    • pp.82-89
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    • 1997
  • A physically-based soil-water erosion model with simple hydrology and Rose & Hairsine's erosion concept is described, and was implemented in the form of computer program. The model derived from the concept of stream power(Bagnold, 1977) considers settling velocity characteristics of the soil and distinguishes between the processes of entrainment and re-entrainment. It deals separately with rill flow and sheet flow, handles vegetation in terms of soil contact cover, and has the ability to simulate soil movement on nonuniform slopes. The model predicted sediment concentrations reasonably with the results of Mclsaac et al. (1990). It showed a capability to quantitatively predict the movement of soil on uniform and nonuniform slopes. Among the model parameters, soil depositability $({\phi})$ was the most sensitive from the sensitivity analysis.

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A Review of Quantitative Landslide Susceptibility Analysis Methods Using Physically Based Modelling (물리사면모델을 활용한 정량적 산사태 취약성 분석기법 리뷰)

  • Park, Hyuck-Jin;Lee, Jung-Hyun
    • The Journal of Engineering Geology
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    • v.32 no.1
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    • pp.27-40
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    • 2022
  • Every year landslides cause serious casualties and property damages around the world. As the accurate prediction of landslides is important to reduce the fatalities and economic losses, various approaches have been developed to predict them. Prediction methods can be divided into landslide susceptibility analysis, landslide hazard analysis and landslide risk analysis according to the type of the conditioning factors, the predicted level of the landslide dangers, and whether the expected consequence cased by landslides were considered. Landslide susceptibility analyses are mainly based on the available landslide data and consequently, they predict the likelihood of landslide occurrence by considering factors that can induce landslides and analyzing the spatial distribution of these factors. Various qualitative and quantitative analysis techniques have been applied to landslide susceptibility analysis. Recently, quantitative susceptibility analyses have predominantly employed the physically based model due to high predictive capacity. This is because the physically based approaches use physical slope model to analyze slope stability regardless of prior landslide occurrence. This approach can also reproduce the physical processes governing landslide occurrence. This review examines physically based landslide susceptibility analysis approaches.

Heavy Rainfall Prediction by the Physically Based Model (물리 모형을 토대로한 호우 예측)

  • Lee, Jae Hyoung;Sonu, Jung Ho;Ceon, Ir Kweon;Hwang, Man Ha
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.14 no.5
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    • pp.1129-1136
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    • 1994
  • A point heavy rainfall process is physically modeled. It uses meteorological variables at the ground level as its inputs. The components of the model are parameterized based on well established observations and the previous studies of cloud physics. Particular emphasis is placed on the efficiency of accretion. So we adopt the modified skew-symmetric model for hydrometeor size distribution function that is suitable for the heavy rain cloud. The dominant parameters included in the model are estimated by the optimization technique. The rainfall intensity is predicted by the model with the medium values of estimated parameters.

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Vision-Based Haptic Interaction Method for Telemanipulation: Macro and Micro Applications (원격조작을 위한 영상정보 기반의 햅틱인터렉션 방법: 매크로 및 마이크로 시스템 응용)

  • Kim, Jung-Sik;Kim, Jung
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1594-1599
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    • 2008
  • Haptic rendering is a process that provides force feedback during interactions between a user and an object. This paper presents a haptic rendering technique for a telemanipulation system of deformable objects using image processing and physically based modeling techniques. The interaction forces between an instrument driven by a haptic device and a deformable object are inferred in real time based on a continuum mechanics model of the object, which consists of a boundary element model and ${\alpha}$ priori knowledge of the object's mechanical properties. Macro- and micro-scale experimental systems, equipped with a telemanipulation system and a commercial haptic display, were developed and tested using silicone (macro-scale) and zebrafish embryos (micro-scale). The experimental results showed the effectiveness of the algorithm in different scales: two experimental systems applied the same algorithm provided haptic feedback regardless of the system scale.

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PBR(Physically based Render) simulation considered mathematical Fresnel model for Game Improvement (효율적 게임개선을 위한 프레넬수학모델의 PBR 시뮬레이션)

  • Kim, Seongdong
    • Journal of Korea Game Society
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    • v.16 no.1
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    • pp.111-118
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    • 2016
  • This paper proposes the mathematical model of Fresnel effect used to illuminate and simulate a surface character model for defense game play. The term illumination is used to represent the process by which the amount of light reaching a surface character model used on game play is determined. The character surface shaders generally use a mathematical model to predict how light will reflect on triangles. The shading normally represents the methods used to determine the color and intensity of light reflected toward the viewer for each pixel representing the character surface model of the game. This model computes the reflection and transmission coefficients and compares simulated results to the Fresnel equations for the real game improvement.