• Title/Summary/Keyword: Visual flow

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A Study on Quantitative Analysis Method of Museum Architecture Arrangement - Focused on Space Syntax and Visibility Graph Analysis - (뮤지엄건축 공간배치의 정량적 분석방법에 관한 연구 -공간구문론(Space Syntax)과 가시장분석(Visibility Graph Analysis)을 중심으로 -)

  • Park, Chong-Ku;Lee, Sung-Hoon
    • Korean Institute of Interior Design Journal
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    • v.18 no.4
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    • pp.97-104
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    • 2009
  • This thesis analyzed arrangement and mixture method of function elements, which are getting more important in museum planning. It used quantitative method, Space Syntax and Visibility Graph Analysis tool to analyze five case museums. Through this analysis, advantages and disadvantages of two methods were derived and case museums' arrangement and mixture attributes were grasped. Results of the analysis were derived differently by two kinds of plan form which were room to room type and open type. Open typed museum recorded similar graphs of Integration, Visual Integration and Visual Connectivity. Since whole space structures were relatively simple and structure of exhibition halls were opened, the results of Space Syntax and Visibility Graph Analysis had similar graphs. Room to room typed museum showed differences in Integration, Visual Integration and Visual Connectivity. In the result, the most accessible space was lobby and Mediation Space became the center of visibility. Also, the exhibition hall, where the opening of room to room typed exhibition hall was penetrated visually, became a center of visibility. Lobby space, which was close to entrance, had the highest Visibility Connectivity. As Space Syntax could analyze the museum as whole space structure, Space Syntax showed strength in room to room typed museum analysis compared to open typed museum analysis which has relatively simple structure. Visibility Graph Analysis could expect the flow of exhibit distance including visibility analysis unlike the flow of exhibit distance with space arrangement. The exhibition hall, which secures the sight to penetration of an opening, couldn't be analyzed in existing Space Syntax. However, it became the biggest advantages in Visibility Graph Analysis of room to room typed museum. Visibility Graph Analysis derived detailed results in exhibit arrangement so it will be the useful method not only for architecture but also for planning of exhibit arrangement in open typed museum. Through this study, various possibilities on Quantitative Analysis Method of Museum Architecture could be verified. However, the analysis still has limitation of second dimension. Therefore, diverse and liberal following study will be expected to accomplish.

Development of a Visual Hydraulic Oil System for the Efficient Hydraulic Oil Experiment Education (효율적인 유압 실험실습교육을 위한 비주얼 유압 시스템 개발)

  • Roh Hyung-Woon;Kim Jae-Soo;Kim Wook;Lee Hee-Sang
    • Journal of Engineering Education Research
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    • v.4 no.2
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    • pp.11-19
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    • 2001
  • Current educational hydraulic oil systems consist of the composites for the hydraulic circuits. These systems not only could attract students' interests, but also increase the teaching efficiency during the lectures. Thus, the visual hydraulic oil system has been developed to enhance educational efficiency and to improve learning methods. With this new system, the students can easily examine the oil flow for hydraulic oil parts in mechanical engineering experiments. In order to develop the new system, the hydraulic constitute was made of acryl resin, and previous pipes were replaced by transparent and flexible tubes. Red colored oil was also used to visualize the oil flow. Furthermore, if OHP (Over Head Projector) was used for a theoretical lectures, the visual units can be used to classify the differences of the valve structure or the circuits. If lecturers use the developed visual hydraulic system, students can make an effective experiment on the basic theories and principles. Therefore, we can promote the students' interests and materialize the objectives of the subject. The results of this paper can be widely used to improve the efficiency of the mechanical engineering education.

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Numerical Analytic Study on Internal Flow Characteristics of a PCV valve (PCV 밸브 내부 유동특성에 관한 수치해석적 연구)

  • Lee, Jong-Hoon;Lee, Yeon-Won;Kim, Jae-Hwan
    • 한국가시화정보학회:학술대회논문집
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    • 2005.12a
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    • pp.111-116
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    • 2005
  • An automobile engine has the Positive Crankcase Ventilation system (PCV system) for preventing air pollution as the environmental problem is important In this system, a PCV valve is the most important component to control the flow rate of Blowby gas which is generated by various engine powers. But, in the working place, the design of a PCV valve is very difficult because of interaction between fluid and solid motions. In this study, we investigated fluid flow characteristics using re-meshing method of a CFD technique to simulate spool behavior. As the results, a spool is periodically oscillated with time and is largely oscillated in proportion to the differential pressure between inlet and outlet. And, although the velocity at the orifice increases with the differential pressure, the flow rate of the outlet decreases. This research may give PCV designers visual flow information to help them

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Obstacle Avoidance for a Mobile Robot Using Optical Flow (광류 정보를 이용한 이동 로봇의 장애물 회피 항법)

  • Lee, Han-Sik;Baek, Jun-Geol;Jang, Dong-Sik
    • Journal of Korean Institute of Industrial Engineers
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    • v.28 no.1
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    • pp.25-35
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    • 2002
  • This paper presents a heuristic algorithm that a mobile robot avoids obstacles using optical flow. Using optical flow, the mobile robot can easily avoid static obstacles without a prior position information as well as moving obstacles with unknown trajectories. The mobile robot in this paper is able to recognize the locations or routes of obstacles, which can be detected by obtaining 2-dimensional optical flow information from a CCD camera. It predicts the possibilities of crash with obstacles based on the comparison between planned routes and the obstacle routes. Then it modifies its driving route if necessary. Driving acceleration and angular velocity of mobile robot are applied as controlling variables of avoidance. The corresponding simulation test is performed to verify the effectiveness of these factors. The results of simulation show that the mobile robot can reach the goal with avoiding obstacles which have variable routes and speed.

A study on the effect of a underbody shape of rear part of a vehicle on pressure distribution of downstream using PIV (디지털 화상처리를 이용한 자동차 후부의 하면형상 이 압력분포에 미치는 영향)

  • Baek, Tae-Sil;Cho, Ki-Hyon;aek, Yee;Song, Dong-Young
    • Journal of the Korean Society of Industry Convergence
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    • v.3 no.1
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    • pp.29-36
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    • 2000
  • In order to reduce a aerodynamic drag of the rear, body, effects of rear lower end configuration of a vehicles were investigated by measuring the pressure distribution, visual flow phenomena by the use of digital image processing technique. The use of flow visualization in recent years has improved the general understanding of structure of complex flow and has yielded valuable information for analyzing fluid flow. As the results, it was found that the shape of rear lower part vehicles not only effected on the pressure distribution of the rear part of the vehicle but also difference of the flow phenomena.

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Visual Tracking Using Snake Algorithm Based on Optical Flow Information

  • Kim, Won;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.13-16
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    • 1999
  • An active contour model, Snake, was developed as a useful segmenting and tracking tool lot rigid or non-rigid (i.e. deformable) objects by Kass in 1987 In this research, Snake is newly designed to cover this large moving case. Image flow energy is proposed to give Snake the motion information of the target object. By this image flow energy Snake's nodes can move uniformly along the direction of the target motion in spite of the existences of local minima. Furthermore, when the motion is too large to apply image flow energy to tracking, a jump mode is proposed for solving the problem. The vector used to make Snake's nodes jump to the new location can be obtained by processing the image flow. The effectiveness of the proposed Snake is confirmed by some simulations.

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Estimation of Moving Information for Tracking of Moving Objects

  • Park, Jong-An;Kang, Sung-Kwan;Jeong, Sang-Hwa
    • Journal of Mechanical Science and Technology
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    • v.15 no.3
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    • pp.300-308
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    • 2001
  • Tracking of moving objects within video streams is a complex and time-consuming process. Large number of moving objects increases the time for computation of tracking the moving objects. Because of large computations, there are real-time processing problems in tracking of moving objects. Also, the change of environment causes errors in estimation of tracking information. In this paper, we present a new method for tracking of moving objects using optical flow motion analysis. Optical flow represents an important family of visual information processing techniques in computer vision. Segmenting an optical flow field into coherent motion groups and estimating each underlying motion are very challenging tasks when the optical flow field is projected from a scene of several moving objects independently. The problem is further complicated if the optical flow data are noisy and partially incorrect. Optical flow estimation based on regulation method is an iterative method, which is very sensitive to the noisy data. So we used the Combinatorial Hough Transform (CHT) and Voting Accumulation for finding the optimal constraint lines. To decrease the operation time, we used logical operations. Optical flow vectors of moving objects are extracted, and the moving information of objects is computed from the extracted optical flow vectors. The simulation results on the noisy test images show that the proposed method finds better flow vectors and more correctly estimates the moving information of objects in the real time video streams.

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Diagnosis of Processing Equipment Using Neural Network Recognition of Radio Frequency Impedance Matching

  • Kim, Byungwhan
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.157.1-157
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    • 2001
  • A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency(rf) impedance match data. Using a realtime match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with experimental variations in process factors, which include rf source power, pressure, Ar and O$_2$ flow rates. As the inputs to neural networks, two means and standard deviations of positions were used ...

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Heat Transfer Correlations for Air-Water Two-Phase Flow of Different Flow Patterns In a Horizontal Pipe

  • Kim, Dongwoo
    • Journal of Mechanical Science and Technology
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    • v.15 no.12
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    • pp.1711-1727
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    • 2001
  • Heat transfer coefficient were measured and new correlations were developed for two-phase heat transfer in a horizontal pipe for different patterns. Flow patterns were observed in a transparent circular pipe (2.54 cm I. D. and L/D=96) using an air/water mixture. Visual identification of the flow patterns was supplemented with photographic data and the results were plotted on the flow regime map proposed by Taitel and Dukler and agreed quite well with each other. A two-phase heat transfer experimental setup was built for this study and a total of 150 two-phase heat transfer data with different flow patterns were obtained under a uniform wall heat flux boundary condition. For these data, the superficial Reynolds number ranged from 640 to 35,500 for the liquid and from 540 to 21,200 for the gas. Our previously developed robust two-phase heat transfer correlation for a vertical pipe with modified constants predicted the horizontal pipe air-water heat transfer experimental data with good accuracy. Overall the proposed correlations predicted the data with a mean deviation of 1.0% and an rms deviation of 12%.

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Visual Characteristic Assessment of Sidewalk According to Street Planting Types - Focus on Sidewalk in Daejeon Metropolitan City - (가로수 식재 유형에 따른 보도의 시각적 특성평가 - 대전광역시를 대상으로 -)

  • Jeong, Dae-Young
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.11 no.6
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    • pp.49-60
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    • 2008
  • In this study, the green zone patterns of sidewalks are classified 'one street-tree row + building,' 'one street-tree row + green zone,' 'two street-tree rows + building,' and 'two street-tree rows + green zone' and assessed their visual characteristic in order to provide desirable measures for scenery design. As a result of the analysis of visual images of sidewalk, the scenery in which street trees are planted in one row was generally assessed to be negative, while roads where green zones rather than buildings are adjacent were revealed to seem stable and pleasant. The scenery in which street trees are planted in two rows was assessed highly in an image of 'extensionality' indicating street circumstances, and especially the pattern 'two street-tree rows + green zone' was shown to be the most beautiful scenery. According to the results of factor analysis of sidewalks, three factors were identified : 'extensionality' showing sidewalk circumstances; 'peculiarity' including unique personality, and 'pliability' showing the organic flow of the scenery. The results of the analysis of visual preference of the scenery according to green zone patterns showed that the 'two street-tree rows + green zone' was measured to be highest. When buildings are adjacent to a sidewalk, two street-tree rows rather than one street-tree row were assessed to increase preference. As for the correlation between visual factors and preference analyzed through multiple regression analysis, all 'extensionality,' 'peculiarity,' and 'pliability' were revealed to show positive correlation for visual preference.