• Title/Summary/Keyword: Moving

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Design and implementation of a Moving Object Engine

  • Lee Hyun Ah;Kim Jin Suk
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.272-275
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    • 2004
  • Recently, the services using position information of moving objects is embossed. Theses services needs the moving objects databases to manage moving object data with efficiency. To build the moving object databases, we must develop the moving object engine to mange, store, and search the spatio temporal data of moving object. The moving object engine has to support query syntax to search data that suitable for user need like LBS, Telematics, ITS, vehicle management system. In this paper, we design and implement the moving object engine to support service with moving object data. The moving object engine is able to support system environment that users are able to get the moving object data easily even they don't know complex data structure.

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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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Time-moving Metaphors and Ego-moving Metaphors: Which Is Better Comprehended by Taiwanese?

  • Huang, Hsin-Mei;Hsieh, Ching-Yu
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.173-181
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    • 2007
  • This is a semantic pilot study which concentrates on how people in Taiwan process the temporal metaphors, ego-moving metaphor and time-moving metaphor. Motivated by the research of Gentner, Imai, and Boroditsky (2002) in which the English native speakers comprehend ego-moving metaphors faster than time-moving metaphors, the present study attempts to reexamine whether the faster reaction to ego-moving metaphors is shared by both the Chinese native speakers and EFL learners. To achieve the goals, 25 Chinese/English bilinguals are invited to be examined via the16 Chinese and 16 English test sentences. The recordings of their accuracy on each item are served as the databases used to compare with the study of Gentner, Imai, and Boroditsky (2002). The two finding presented here are: (1) when the subjects tested in their native language, Chinese, they process ego-moving metaphors better. (2) when tested in the foreign language, English, they conceptualize time-moving metaphors much better.

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Tracking of Moving Objects Using Morphological Segmentation, Statistical Moments and Hough Transform

  • Ahmad, Muhammad Bilal;Chang, Min-Hyuk;Park, Jong-An
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1377-1381
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    • 2003
  • This paper describes real time object tracking of 3D objects in 2D image sequences. The moving objects are segmented from the image sequence using morphological operations. The moving objects are segmented by the method of differential image followed by the process of morphological dilation. The moving objects are recognized and tracked using statistical moments. The direction of moving objects are determined by the Hough transform. The straight lines in the moving objects are found with the help of Hough transform. The direction of the moving object is calculated from the orientation of the straight lines in the direction of the principal axes of the moving objects. The direction of the moving object and the displacement of the object in the image sequence is used to calculate the velocity of the moving objects. The simulation results of the proposed method are promising on the test images.

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MOVING OBJECT JOIN ALGORITHMS USING TB- TREE

  • Lee Jai-Ho;Lee Seong-Ho;Kim Ju-Wan
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.309-312
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    • 2005
  • The need for LBS (Loc,ation Based Services) is increasing due to the wnespread of mobile computing devices and positioning technologies~ In LBS, there are many applications that need to manage moving objects (e.g. taxies, persons). The moving object join operation is to make pairs with spatio-temporal attribute for two sets in the moving object database system. It is import and complicated operation. And processing time increases by geometric progression with numbers of moving objects. Therefore efficient methods of spatio-temporal join is essential to moving object database system. In this paper, we apply spatial join methods to moving objects join. We propose two kind of join methods with TB- Tree that preserves trajectories of moving objects. One is depth first traversal spatio-temporaljoin and another is breadth-first traversal spatio-temporal join. We show results of performance test with sample data sets which are created by moving object ,generator tool.

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Stability Analysis of Axially Moving Beam with Attached Mass (축방향으로 이송되는 부가질량을 가진 보의 안정성 해석)

  • Hur, Kwan-Do;Son, In-Soo;Ahn, Sung-Jin
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.1
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    • pp.56-61
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    • 2012
  • The dynamic instability and natural frequency of axially moving beam with an attached mass are investigated. Thus, the effects of an attached mass on the stability of the moving beam are studied. The governing equation of motion of the moving beam with an attached mass is derived from the extended Hamilton's principle. The natural frequencies are investigated for the moving beams via the Galerkin method under the simple support boundary. Numerical examples show the effects of the attached mass and moving speed on the stability of moving beam. Moreover, the lowest critical moving speeds for the simple supported conditions have been presented. The results can be used in the analysis of axially moving beams with an attached mass for checking the stability.

Recognition and Tracking of Moving Objects Using Label-merge Method Based on Fuzzy Clustering Algorithm (퍼지 클러스터링 알고리즘 기반의 라벨 병합을 이용한 이동물체 인식 및 추적)

  • Lee, Seong Min;Seong, Il;Joo, Young Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.2
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    • pp.293-300
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    • 2018
  • We propose a moving object extraction and tracking method for improvement of animal identification and tracking technology. First, we propose a method of merging separated moving objects into a moving object by using FCM (Fuzzy C-Means) clustering algorithm to solve the problem of moving object loss caused by moving object extraction process. In addition, we propose a method of extracting data from a moving object and a method of counting moving objects to determine the number of clusters in order to satisfy the conditions for performing FCM clustering algorithm. Then, we propose a method to continuously track merged moving objects. In the proposed method, color histograms are extracted from feature information of each moving object, and the histograms are continuously accumulated so as not to react sensitively to noise or changes, and the average is obtained and stored. Thereafter, when a plurality of moving objects are overlapped and separated, the stored color histogram is compared with each other to correctly recognize each moving object. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

A Capturing Algorithm of Moving Object using Single Curvature Trajectory (단일곡률궤적을 이용한 이동물체의 포획 알고리즘)

  • Choi Byoung-Suk;Lee Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.2
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    • pp.145-153
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    • 2006
  • An optimal capturing trajectory for a moving object is proposed in this paper based on the observation that a single-curvature path is more accurate than double-or triple-curvature paths. Moving distance, moving time, and trajectory error are major factors considered in deciding an optimal path for capturing the moving object. That is, the moving time and distance are minimized while the trajectory error is maintained as small as possible. The three major factors are compared for the single and the double curvature trajectories to show superiority of the single curvature trajectory. Based upon the single curvature trajectory, a kinematics model of a mobile robot is proposed to follow and capture the moving object, in this paper. A capturing scenario can be summarized as follows: 1. Motion of the moving object has been captured by a CCD camera., 2. Position of the moving object has been estimated using the image frames, and 3. The mobile robot tries to follow the moving object along the single curvature trajectory which matches positions and orientations of the moving object and the mobile robot at the final moment. Effectiveness of the single curvature trajectory modeling and capturing algorithm has been proved, through simulations and real experiments using a 2-DOF wheel-based mobile robot.

Influence of Moving Masses on Dynamic Behavior of Cantilever Pipe Subjected to Uniformly Distributed Tangential Follower Forces (이동질량과 등분포접선종동력이 외팔보의 동특성에 미치는 영향)

  • 윤한익;김봉균;손인수
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.13 no.6
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    • pp.430-437
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    • 2003
  • A conveying fluid cantilever pipe subjected to a uniformly distributed tangential follower force and three moving masses upon it constitute this vibrational system. The influences of the velocities of moving masses, the distance between two moving masses, and the uniformly distributed tangential follower force have been studied on the dynamic behavior of a cantilever pipe system by numerical method. The uniformly distributed tangential follower force is considered within its critical value of a cantilever pipe without moving masses, and three constant velocities and three constant distances between two moving masses are also chosen. When the moving masses exist on pipe, as the velocity of the moving mass and the distributed tangential follower force Increases. the deflection of cantilever pipe conveying fluid is decreased, respectively Increasing of the velocity of fluid flow makes the amplitude of a cantilever pipe conveying fluid decrease. After the moving mass passed upon the pipe, the tip- displacement of a pipe is influenced by the coupling effect between interval and velocity of moving mass and the potential energy change of a cantilever pipe. Increasing of the moving mass make the frequency of the cantilever pipe conveying fluid decrease.

Moving Averages Based on Robust Statistical Analysis

  • Pak, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.471-479
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    • 2003
  • Moving averages are the most popular statistics in analyzing time-series data like stock indices. However, moving averages are quite sensitive to unusual observations. In other words, they are not robust against unusual observations. We introduce the moving averages in terms of an M-estimator, and show how we can take advantages of using the proposed moving averages in fitting the data more than usual moving averages.

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