• Title/Summary/Keyword: Moving condition

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Motives for Moving and Residential Satisfaction after Moving (아파트 입주가구의 이주동기와 주거만족도 변화에 관한 연구)

  • 윤복자
    • Journal of the Korean Home Economics Association
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    • v.29 no.3
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    • pp.113-130
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    • 1991
  • The objectives of study were 1) to investigate the motives for moving to the current residence, 2) to analyze residential satisfaction after moving in relation to household characteristics and the motives for moving, and 3) to test relationships among household characteristics, residential satisfaction before moving, motives for moving, and residential satisfaction after moving. Residential satisfaction was evaluated in relation to housing, neighborhood, and socio-psychological environments. Methdo-logy included literature and questionnaire survey. Questionnaires were administered to 269 homemakers living in an apartment complex in seoul. Data were analyzed with the use of SPSSS PC+ computer package. The motives for moving were classified in five types: tenureship improvement, improvement of the physical condition of housing, improvement of neighborhood environment, commuting improvement, and constraints. There were significant differences in the types of motives for moving by socio-economic status, types of houses lived in previously, change in type of tenures, and the duration of residence before moving. There were significant differences in residential satisfaction after moving among types of houses lived in previously, change in type of tenures, and the types of the motives for moving. There were significant relationships among residential satisfaction variables. They were the socio-economic status, change in type of tenures, residential satisfaction before moving.

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The moving object detection for moving picture with gaussian noise (프레임간 가우시안 잡음이 있는 동영상에서의 움직임 객체 검출)

  • Kim, dong-woo;Song, young-jun;Kim, ae-kyeong;Ahn, jae-hyeong
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.839-842
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    • 2009
  • It is used to differential image for moving object detection in general. But it is difficult to detect the accurate detection which uses differential image between frames. In this paper, the proposed method overcome the noise that is generated by camera, grabber card, or weather condition. It extract to moving big object such as human or vehicle. The proposed method process morphological filtering and binary for the image with noise, reduce error. We are expect to apply to a real-time moving object detection system at fog condition, pass the limit of the object detection method using the differential image.

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Transmission of Moving Image on the Internet Using Wavelet Transform and Neural Network (웨이블릿변환과 신경회로를 이용한 동영상의 실시간 전송)

  • Kim, Jeong-Ha;Lee, Hak-No;Nam, Boo-Hee
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.11
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    • pp.1077-1081
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    • 2004
  • In this Paper we discuss an algorithm for a real-time transmission of moving color image on the TCP/IP network using wavelet transform and neural network. The Image frames received from the camera are two-level wavelet-transformed in the server, and are transmitted to the client on the network. Then, the client performs the inverse wavelet-transform using only the received pieces of each image frame within the prescribed time limit to display the moving images. When the TCP/IP network is busy, only a fraction of each image frame will be delivered. When the line is free, the whole frame of each image will be transferred to the client. The receiver warns the sender of the condition of traffic congestion in the network by sending a special short frame for this specific purpose. The sender can respond to this information of warning by simply reducing the data rate which is adjusted with a neural network or fuzzy logic. In this way we can send a stream of moving images adaptively adjusting to the network traffic condition.

On Stationarity of TARMA(p,q) Process

  • Lee, Oesook;Lee, Mihyun
    • Journal of the Korean Statistical Society
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    • v.30 no.1
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    • pp.115-125
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    • 2001
  • We consider the threshold autoregressive moving average(TARMA) process and find a sufficient condition for strict stationarity of the proces. Given region for stationarity of TARMA(p,q) model is the same as that of TAR(p) model given by Chan and Tong(1985), which shows that the moving average part of TARMA(p,q) process does not affect the stationarity of the process. We find also a sufficient condition for the existence of kth moments(k$\geq$1) of the process with respect to the stationary distribution.

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Stability Analyses of Magnetic Levitation Tables Using Repulsions of Permanent Magnets (영구자석에 의한 반발형 자기부상 테이블의 안정성 해석)

  • Choe, Gi-Bong;Jo, Yeong-Geun;Tadahiko Shinshi;Akira Shimokohbe
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.7
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    • pp.36-42
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    • 2002
  • This paper presents two actuators for levitation using repulsions of permanent magnet and two magnetic levitation tables using the actuators. Here, one actuator for levitation consists of one fixed magnet and one moving magnet, and the other actuator consists of two fixed magnets and one moving magnet. The moving part of the magnetic levitation table contains the moving magnets. repulsive forces caused by the permanent magnets are linearized, and then the equation of motion of the moving part of the table is derived. Using the equation of motion, stability conditions of the moving part are deduced. The stability conditions are analyzed for positional relations of the moving magnets and the minimum number of active control required for stable system. As a result, in the each case of magnetic levitation tables, the requirements for stabilization are expressed by the positional relations and the number of the active controls.

Application of Neural Network to Prediction and estimation of Rolling Condition for Hydraulic members (유압구동부재의 구름운동상태 예지 및 판정을 위한 신경 회로망의 적용)

  • 조연상;김동호;박흥식;전태옥
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.646-649
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    • 2002
  • It can be effect on diagnosis of hydraulic machining system to analyze working conditions with shape characteristics of wear debris in a lubricated machine. But, in order to predict and estimate working conditions, it is need to analyze the shape characteristics of wear debris and to identify. Therefor, if shape characteristics of wear debris is identified by computer image analysis and the neural network, it is possible to find the cause and effect of moving condition. In this study, wear debris in the lubricant oil are extracted by membrane filter, and the quantitative value of shape characteristics of wear debris we calculated by the digital image processing. This morphological informations are studied and identified by the artificial neural network. The purpose of this study is In apply morphological characteristics of wear debris to prediction and estimation of working condition in hydraulic driving systems.

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Image Analysis of Wear Debris on Operating Condition of the Lubricated Moving Surface (윤활운동면의 작동조건에 따른 마멸분 화상해석)

  • Seo, Y.B.;Park, H.S.;Jun, T.O.;Lee, K.Y.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.5
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    • pp.143-149
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    • 1997
  • This paper was undertaken to do image analysis of wear debris on operating condition of the lubricated moving surfaces. This lubricating wear test was performed under different experimental conditions using the wear test device was made in our laboratory and wear testing specimen of the pin on dist type was rubbed in paraffine series base oil, by materials, varying applied load, sliding distance. The four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) to describe wear debris have been developed and are outlined in the paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology for machine condition monitoring, this to overcome many of the difficulties with current methods and facilitating wider use of wear particle analysis in machine condition monitouing.

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Experimental Study on Lift Characteristics Considering Moving Ground Effects of Low Aspect Ratio Wings for Wing-In Ground Effect Crafts (이동지면 효과를 고려한 위그선용 저 종횡비 날개의 양력특성에 대한 실험연구)

  • Ahn, Byoung-Kwon;Koo, Sung-Phil;Lew, Jae-Moon;Nho, In-Sik
    • Journal of the Society of Naval Architects of Korea
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    • v.48 no.5
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    • pp.381-389
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    • 2011
  • In this study, we are focusing our attention on lift characteristics of the low aspect wings for Wing-In Ground effect crafts (WIG). Experimental measurements at an open-type wind tunnel are carried out and results are comparatively presented. In order to simulate the realistic ground condition in where the WIG craft is flying, moving ground is implemented by a conveyor belt rotating with the same velocity of the inflow. We consider two different wings (NACA0012 and DHMTU section) which have four different aspect ratios (0.5, 1.0, 1.5 and 2.0). Forces acting on the wings are measured and lift characteristics are elaborately investigated for various different conditions. In addition, end-plate effects are estimated. Results are validated by comparing with theoretic solutions of the symmetric airfoil. Present results show that ground effects are differently generated in moving or fixed ground conditions, and hence left characteristics are affected by the ground condition. Consequently, accurate aerodynamic forces acting on the WIG craft are guaranteed in a realistic moving ground condition.

Influence of Rotating Wheel and Moving Ground Condition to Aerodynamic Performance of 3-Dimensional Automobile Configuration (돌아가는 바퀴 및 이동지면 조건이 3차원 자동차 형상의 공력성능에 미치는 영향에 관한 연구)

  • Kang, Seung-On;Jun, Sang-Ook;Park, Hoon-Il;Ku, Yo-Cheon;Kee, Jung-Do;Hong, Dong-Hee;Kim, Kyu-Hong;Lee, Dong-Ho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.18 no.5
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    • pp.100-107
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    • 2010
  • This paper gives new conceptual descriptions of drag reduction mechanism owing to rotating wheel and moving ground condition when dealing with automotive aerodynamics. Using Computational Fluid Dynamics (CFD), flow simulation of three dimensional automobile configuration made by Vehicle Modeling Function (VMF) is performed and the influence of wheel arch, wheels, rotating wheel & moving ground condition to the automotive aerodynamic performance is analyzed. Finally, it is shown that rotating wheel & moving ground condition decreases automotive aerodynamic drag owing to the reduction of the induced drag led by the decrease of COANDA flow intensity of the rear trunk flow.

Evaluation of Dynamic Delivery Quality Assurance Process for Internal Target Volume Based RapidArc

  • Song, Ju-Young
    • Progress in Medical Physics
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    • v.28 no.4
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    • pp.181-189
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    • 2017
  • The conventional delivery quality assurance (DQA) process for RapidArc (Varian Medical Systems, Palo Alto, USA), has the limitation that it measures and analyzes the dose in a phantom material and cannot analyze the dosimetric changes under the motional organ condition. In this study, a DQA method was designed to overcome the limitations of the conventional DQA process for internal target volume (ITV) based RapidArc. The dynamic DQA measurement device was designed with a moving phantom that can simulate variable target motions. The dose distribution in the real volume of the target and organ-at-risk (OAR)s were reconstructed using 3DVH with the ArcCHECK (SunNuclear, Melbourne, USA) measurement data under the dynamic condition. A total of 10 ITV-based RapidArc plans for liver-cancer patients were analyzed with the designed dynamic DQA process. The average pass rate of gamma evaluation was $81.55{\pm}9.48%$ when the DQA dose was measured in the respiratory moving condition of the patient. Appropriate method was applied to correct the effect of moving phantom structures in the dose calculation, and DVH data of the real volume of target and OARs were created with the recalculated dose by the 3DVH program. We confirmed the valid dose coverage of a real target volume in the ITV-based RapidArc. The variable difference of the DVH of the OARs showed that dose variation can occur differently according to the location, shape, size and motion range of the target. The DQA process devised in this study can effectively evaluate the DVH of the real volume of the target and OARs in a respiratory moving condition in addition to the simple verification of the accuracy of the treatment machine. This can be helpful to predict the prognosis of treatment by the accurate dose analysis in the real target and OARs.