• Title/Summary/Keyword: 이동패턴 분석

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Backward Moving Shockwave Speed Measurement in Traffic Images (교통 영상에서의 Backward Moving 충격파 속도 측정)

  • 권영탁;소영성
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.3
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    • pp.6-13
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    • 2002
  • In this paper, we propose an image processing based method to measure red-time and green-time backward moving shockwave speed automatically at signalized intersections. Shockwave means the discontinuous boundary line between different vehicle traffic flows, and its moving speed is called shockwave speed which is obtain from the slope of boundary line. In this paper, we compose distance-time diagram for measuring shockwave speed automatically. By global vehicle tracking, we draw all of the vehicle moving path on distance-time diagram. We analyze the slope change pattern of curved moving path line, and compute red-time and green-time backward moving shockwave speed. We obtain the measurement result of shockwave speed, when applying above mentioned proposed method to experiment at signalized intersections, Once we can measure the shockwave speed, we could apply the result to highway ramp metering and automatic signal control at intersections effectively since we know the situation of frontal congestion easily.

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Spatio-temporal Visualization of PM10 Flow Pattern Using Gravity Model (중력모델을 적용한 미세먼지 흐름 패턴 시공간 시각화)

  • Lee, Geon-Woo;Yom, Jae-Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.6
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    • pp.417-426
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    • 2019
  • Conventional visualization of PM (Particulate Matter)10 flows applies superimposition of concentration distribution maps and wind field maps. This method is efficient for small scale maps where only macro flow trends are of interest. However, in the case of urban areas, local flows are difficult to model at micro level using wind fields, and therefore different methods of flow extraction is deemed necessary. In this study, flow information is extracted and visualized directly from the PM10 density data by using the gravity model. This method has the advantage that additional information such as wind field is not necessary for estimating the intensity and direction of PM10 flow. The extracted spatio-temporal flow patterns of PM10 are analyzed with relation to traffic information.

Analysis of Three-Dimensional Profile of Bacterial Colony and Visualization of Fluidic Biofilm Using Fluorescent Microbeads (형광 미세입자를 이용한 박테리아 군집의 3차원 형상 분석 및 유동성 생물막의 가시화)

  • Kim, Kyung-Hoon;Park, Eun-Jung;Kim, Jung-Kyung
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.36 no.11
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    • pp.1119-1126
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    • 2012
  • The collective behavior of bacteria plays an important role in biofilm development. In this study, the fluidic properties of biofilms formed in Escherichia coli (E. coli) and Bacillus subtilis (B. subtilis) colonies were compared by visualizing 200-nm fluorescent beads that were initially embedded in an agar plate and distributed spontaneously on the upper surface of the growing colonies. We conducted experiments to measure the three-dimensional profile of the E. coli colony using fluorescent microbeads that did not flow in the colony. Vortical flow patterns near the edge of the B. subtilis colony were observed clearly by tracking the movement of the beads in the biofilm of the colony. The present study should be the first step toward determining the effect of fluidic biofilms on the growth and swarming dynamics of bacteria.

Active Object Tracking System for Intelligent Video Surveillance (지능형 비디오 감시를 위한 능동적 객체 추적 시스템)

  • Park, Ho-Sik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.7 no.2
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    • pp.82-85
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    • 2014
  • It is helpful to use Intelligent Video Surveillance to replace and supplement the demerit which can possibly occur due to the mistake that can be made by human management. To accomplish this, it is essential that the system should digitalize image information from surveillance camera so that the system, itself, can be able to locate a object and to analyze the pattern of the object. Also, it is imperative that the system should have ability to operate a alarm and a entrance blocking system and to notify a situation to a security manager. Zooming a small object form a screen, however, requires a exact zooming ratio of the object and a shift of centric coordinate. In this paper, It is able to locate and observe closely a object from flexible background, regardless of the distance, by calculating a zooming ratio according to object moment, pan coordinate, and tilt coordinate.

Design and Implementation of Social Network Real-Time Traffic Broadcast Platform (소셜네트워크 실시간교통 방송 플랫폼 설계 및 구현)

  • Han, Jun-Woo;Lee, Eun-Jin;Kim, Heung-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.337-339
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    • 2015
  • As much interest recently location based service, a study to analyze the movement patterns of the users from getting a lot of large amounts of data collected from a GPS installed in the smart device. Also it is recorded in the log file in the form of day-to-day personal computer, the development of a variety of a smart phone, a black box, and navigation. This data is collected by the user have been developed a variety of personalized services. In this paper, using the black box camera, such as the vehicle to form a social network platform that broadcasts real-time traffic utilization real-time video information.

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Dynamic Relocation of Virtual Machines for Load Balancing in Virtualization Environment (가상화 환경에서 부하균형을 위한 가상머신 동적 재배치)

  • Sa, Seong-Il;Ha, Chang-Su;Park, Chan-Ik
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.12
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    • pp.568-575
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    • 2008
  • Server consolidation by sever virtualization can make one physical machine(PM) to run several virtual machines simultaneously. Although It is attractive in cost, it has complex workload behaviors. For that reason, efficient resource management method is required. Dynamic relocation of virtual machine(VM)[3,4] by live migration[1,2] is one of resource management methods. We proposed SCOA(Server Consolidation Optimizing Algorithm) : a fine-grained load balancing mechanism worked on this dynamic relocation mechanism. We could obtain accurate resource distribution information through pointed physical machines on multi dimensional resource usage coordination, so we could maintain more balanced resource state. In this paper, we show the effectiveness of our algorithm by comparison of experimental results between SCOA and sandpiper[3] by software simulation.

Locomotion of Dog-like Quadruped Robots: Walk and Trot (견형 4족 로봇의 위치 이동: 걷기 및 속보)

  • Lim, Seung-Chul;Kim, Kwang-Han
    • Journal of the Korea Society for Simulation
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    • v.20 no.1
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    • pp.51-59
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    • 2011
  • This paper is concerned with locomotion of dog-like quadruped robots that can adapt to various terrains, mainly dealing with implementation methods and characteristics of static and dynamic gaits. To this end, a 12-DOF robot is built in house, motional trajectories of its body and feet are generated mimicking biological life, and the corresponding leg joint angles are analytically obtained by inverse kinematics. Such joint angle data are then applied to the robot's ADAMS model for computer simulations so that the planned walk and trot gaits are both confirmed dynamically stable. However, contrary to the simulation results, previous trot patterns showed unstable behavior during experiments. This problem led us to analyze the reason, and in the course we discovered the importance of maximally utilizing the concept of WSM rather than ZMP and therefore reducing the gait period to secure the stability of dynamic gaits such as trot.

An algorithm of the natural view transition in the panoramic image based navigation using Fast Fourier Transform Techniques (파노라마 영상 기반 네비게이션에서 FFT 기술을 이용한 자연스러운 장면 전환 알고리즘)

  • Kim, Dae-Hyun;Choi, Jong-Soo;Kim, Tae-Eun
    • The KIPS Transactions:PartB
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    • v.10B no.5
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    • pp.561-566
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    • 2003
  • This paper proposes a new algorithm that generates smooth and realistic transition views from one viewpoint to another view point on the panorama based navigation system. The proposed algorithm is composed with two steps. One is prewarping that aligns the viewing direction in two panorama image, the other is bidirectional disparity morphing (BDM) that generates the intermediate scene from the aligned panorama images. For the prewarping, first of all, we compute the phase correlation between two images in order to get the information such as the displacement, rotation, and scale. Then we align the original images using these information. As soon as finishing the prewarping, we compute the block based disparity vectors (DVs) and smooth them using the two occluding patterns. As we apply these DVs to the BDM, we can get the elaborate intermediate scenes. We make an experiment on the proposed algorithm with real panoramic images and we can get the satisfactory results.

Development of Performance Analysis Tool for Flash Disk on Windows Platform (윈도우즈 기반 플래시 디스크의 성능 분석을 위한 도구 개발)

  • Park Sung-Hwan;Yoo Hyun-Seok;Kim Do Yun;Park Won-Joo;Oh Kisun;Lee Sang-Won;Park Sangwon
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07a
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    • pp.826-828
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    • 2005
  • 이동 기기의 저장 장치로 플래시 메모리가 널리 사용되고 있으며 고정 하드 디스크를 대체하는 저장 매제로 부상하고 있다. 그러므로 플래시 메모리의 특성을 잘 이해하고, 최대한 효율적으로 플래시 메모리를 사용할 필요성이 있다. 이러한 역할을 해주는 것은 플래시 내부의 시스템 소프트웨어인 FTL(Fiash Translation Layer)이다. FTL은 운영체제가 디스크에 전달하는 블록을 물리적인 플래시 메모리에 맵핑하는 역할을 한다. 그러므로 플래시 메모리의 성능은 FTL 알고리즘이 결정한다. 플래시를 대체한 플래시 디스크에서는 기존의 파일 시스템이 탑재되며 간단한 섹터 기반외 이동형 기기에서와는 다른 특성을 가진다. FTL 성능을 평가하기 위해서는 실제적으로 플래시 메모리가 장착된 제품들이 동작하는 시스템에서 실험을 해야 한다. 많은 플래시 디스크는 윈도우즈에서 동작하므로 윈도우즈의 디스크 I/O를 추출하여 실험을 해야만 한다. 본 논문에서는 윈도우즈에서 물리적인 디스크 I/O 패턴을 추출하여 FTL 알고리즘의 성능을 평가하기 위한 도구 개발에 대하여 설명하고 이에 대한 간단한 결과를 보인다.

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Underwater Visualization for Fish Behaviour Model in the Towed Fisheries using Chaos Theory (혼돈이론을 응용한 예망어구에 대한 어류반응 행동모델의 수중현상 시각화)

  • 박명철;김용해;하석운
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.3
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    • pp.645-653
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    • 2004
  • The prediction and its visualization on fish behaviour in relation to fishing gear are carried out based on field detection and observation during fishing operation. However, field observation is very difficult due to variable underwater environments and accordingly due to complex, chaotic response of fish behaviour in the physiological and ecological points. Therefore simple graphic display in previous results was not enough to represent real underwater images of the fishing gear and fish behaviour. In this study more actual visualization technique was developed using by previous fish behaviour model with chaos theory in order to predict, evaluate or analyse complex and non-linear phenomena of response patterns in complex fish behaviour. In addition, display of the fish finder was also designed to simulate the underwater fish detection and distribution in fishing ground. This suggested visualization tool was very similar to the information of the fish movement in the field observation in visual underwater reality and useful to check up between simulations and observations.