• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.77-89
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• 2009

Visual tracking technique is one of the essential things which are very important in the major fields of modern society. While contour tracking is especially necessary technique in the aspect of its fast performance with target's external contour information, it sometimes fails to track target motion because it is affected by the surrounding edges around target and weak egdes on the target boundary. To overcome these weak points, in this research it is suggested that PDMs can be obtained by generating the virtual 6-DOF motions of the mobile robot with a CCD camera and the image tracking system which is robust to the local minima around the target can be configured by constructing Active Shape Model in modular base. To show the effectiveness of the proposed method, the experiment is performed on the image stream obtained by a real mobile robot and the better performance is confirmed by comparing the experimental results with the ones of other major tracking techniques.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.209-218
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• 2010

The aim of the study on the tactical object representation techniques in synthetic environment is on acquiring fundamental techniques for detection and tracking of tactical objects, and evaluating the strategic situation in the virtual ground. In order to acquire these techniques, there need the tactical objects' position tracking and evaluation, and an inter-sharing technique between tactical models. In this paper, we study the algorithms on the sensor data fusion and coordinate conversion, proportional navigation guidance(PNG), and pursuit-evasion technique for engineering and higher level models. Additionally, we simulate the position evaluation of tractical objects using the pursuit and evasion maneuvers between a submarine and a torpedo.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1235-1242
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• 2015

In global shipping logistics, it is important for users to keep track of the location of their continuously moving cargos. Analyzing the GPS data stream coming from the tag which is attached to the cargo, we are able to keep track of the cargo location in terms of going into or out of a certain logistics area using the information of the spatial relationship change between the tag and the logistics area. In this paper, we propose a simulation system for measuring the precision and false alarm rate of the cargo location tracking algorithm which generates spatial events over the global logistics areas. Due to the difficulty of experiment with a real tag, we developed a tag emulator to create a virtual tag which operates exactly like a real tag. We show the cargo location tracking system works correctly with the tag emulator which communicates with it using the same protocol as the real tag.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.2
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• pp.198-206
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• 2013

This paper presents the improvement of tracking performance using fuzzy inference system based task prioritizations for multi-function radars. The presented technique calculates elemental priorities using track information of a target and obtain the total priority from fuzzy inference system of each fuzzy set's membership function. In this paper, we proposed the task prioritization algorithms based on fuzzy inference system, and evaluated the tracking performance on multi-function radar scenario using it. As a result, we confirmed that excellent performance could be achieved when using the proposed algorithm.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.43-54
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• 2021

Since COVID-19 (Severe acute respiratory syndrome coronavirus type 2, SARS-Cov-2) was first discovered at the end of 2019, it has spread rapidly around the world. This study introduces an agent-based simulation model representing COVID-19 spread in South Korea to investigate the effect of detect level (contact tracing) on the virus spread. To develop the model, related data are aggregated and probability distributions are inferred based on the data. The entire process of infection, quarantine, recovery, and death is schematically described and the interaction of people is modeled based on the traffic data. A composite logistic functions are utilized to represent the compliance of people to the government move control such as social distancing. To demonstrate to effect of detect level on the virus spread, detect level is changed from 0% to 100%. The results indicate active contact tracing inhibits the virus spread and the inhibitory effect increases geometrically as the detect level increases.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.11
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• pp.1463-1471
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• 2012

In this study, a 3-axis camera system design is proposed for application to an existing 2-axis surveillance robot. A camera-image-based target-tracking algorithm for this robot has also been proposed. The algorithm has been validated using a virtual simulation. In the algorithm, the heading direction vector of the camera system in the mobile surveillance robot is obtained by the position error between the center of the view finder and the center of the object in the camera image. By using the heading direction vector of the camera system, the desired pan and tilt angles for target-tracking and the desired roll angle for the stabilization of the camera image are obtained through inverse kinematics. The algorithm has been validated using a virtual simulation model based on MATLAB and ADAMS by checking the corresponding movement of the robot to the target motion and the virtual image error of the view finder.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.577-580
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• 2022

본 논문에서는 마이크로소프트(Microsoft, MS) 홀로렌즈v2를 이용하여 물리 기반 애니메이션은 유체와 로프를 제어할 수 있는 새로운 방법에 대해 소개한다. 물리 기반 시뮬레이션 혼합현실, 메타버스, 게임 등 다양한 콘텐츠에서 몰입감을 개선하기 위해 활용되고 있는 기술이다. 하지만, 계산양이 크고 사용자가로 인한 직관적인 제어 시스템의 부재로 많은 시장에 활용되기에는 어려운 구조이다. 이러한 문제를 완화하기 위해 본 논문에서는 혼합현실 환경에서 무선으로 사용자 인터페이스를 구현한 홀로렌즈v2를 이용하여 물리 애니메이션을 제어하고자 한다. 이러한 도전은 혼합현실에서도 사용자의 손동작, 음성, 눈 추적 등 다양한 인터페이스를 통해 시뮬레이션을 제어할 수 있다는 가능성을 열어줌으로써, 관련시장도 확장 될 수 있다. 본 논문에서는 대표적으로 유체와 로프 시뮬레이션을 홀로렌즈를 통해 제어하는 결과를 보여준다.

• Journal of the Korea Computer Graphics Society
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• v.23 no.3
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• pp.123-133
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• 2017

Cache performance is an important factor in hardware system. We proceed with a cache simulation to analyze the cache performance suitable for sound rendering. In addition, we introduce hardware models based on ray tracing used in geometric method and studies to improve cache performance. Cache simulation is performed on various conditions for cache size, way and block. Various simulations can be found to influence the cache hit rate. We compare cache simulation results with actual hardware performance to analyze cache performance suitable for sound rendering.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.04a
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• pp.138-142
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• 1999

심장의 수축 및 이완기에서의 좌심실 벽 움직임은 허혈 및 심근경색증과 같은 심장질환에서 영상적 진단의 주요한 특징이다. 심장은 동적 기관으로써 진단을 위해서는 속도와 같은 4차원 파라미터의 추정이 필요하다. 본 논문에서는 심장의 좌심실 형태 및 움직임을 모델링하여 동적으로 가시화하는 방법을 제시한다. 본 논문에서는 좌심실을 Dynamic Gaussian Blob 모델로 근사화하였다. 이 모델은 가우시안 함수 기반 FEM 요소와 superellipsoid를 통합한 것으로 좌심실의 형태 및 벽의 움직임을 물리기반 방법에 의해 묘사할 수 있다. 즉, 일련의 영상들로부터 좌심실 벽에 대응되는 3차원 점들을 추출한 후 이 점들에 작용되는 힘에 의해 박동하는 좌심실의 움직임을 추적한다. 이와 같은 좌심실 벽 움직임 시뮬레이션은 심장 움직임에 이상이 있는 질환의 진단을 위한 빠르고 간편한 보조 도구로써 사용되어질 수 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.11
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• pp.1000-1008
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• 2014

Situation awareness for vehicles and pedestrians is very critical to ensure safety. While on-board sensors or systems can easily detect line-of-sight pedestrians, it is difficult to locate the positions of out-of-sight pedestrians especially with no GPS service. This paper proposes a method for accurate and on-time localization of indoor pedestrians by nearby vehicles. The proposed method is based on mobile ad-hoc networks among vehicles and pedestrians, without relying on infrastructures such as GPS, WiFi AP, and Bluetooth-based systems. Also, this paper develops a genetic algorithm to accurately and promptly locate pedestrians. Finally, simulation results are presented to quantitatively evaluate the proposed method compared to other studies.