• Progress in Medical Physics
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• v.23 no.1
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• pp.54-61
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• 2012

A polymer gel dosimeter was fabricated. A 3-dimensional dosimetry experiment was performed in the small field of the photon of the cyberknife. The dosimeter was installed in a head and neck phantom. It was manufactured from the acrylic and it was used in dosimetry. By using the head and neck CT protocol of the CyberKnife system, CT images of the head and neck phantom were obtained and delivered to the treatment planning system. The irradiation to the dosimeter in the treatment planning was performed, and then, the image was obtained by using 3.0T magnetic resonance imaging (MRI) after 24 hours. The dose distribution of the phantom was analyzed by using MATLAB. The results of this measurement were compared to the results of calculation in the treatment planning. In the isodose curve on the axial direction, the dose distribution coincided with the high dose area, 0.76mm difference on 80%, rather than the low dose area, 1.29 mm difference on 40%. In this research, the fact that the polymer gel dosimeter and MRI can be applied for analyzing a small field in a 3 dimensional dosimetry was confirmed. Moreover, the feasibility of using these for the therapeutic radiation quality control was also confirmed.

• Journal of Korea Spatial Information System Society
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• v.5 no.2 s.10
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• pp.33-53
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• 2003

This study presents the system to develop the web-based pro-environmental road planning and evaluation system in order to support the decision making for the land development. It was found that the proposed system can display the analysis result 3 dimensionally based on digital map and it can be applied to document development towards efficient operations.

• Tunnel and Underground Space
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• v.19 no.3
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• pp.167-173
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• 2009

Underground storage cavern is known as the most complicated underground project because of the complexity of construction schedule, tunnel size, and geological problems. In order to optimize the construction schedule of underground storage cavern, two up-to-date technologies were applied. The first technology was 3 dimensional visualization of complicated underground structures, and the second was 4 dimensional simulation considering construction resources, geological conditions and construction schedule. This application case shows that we can achieve optimized construction schedule in the ways to optimize the number of work teams, fleets, the sequence of tunnel excavation, the commencement time of excavation and the hauling route of materials and excavated rocks. 3 dimensional modeling can help designer being able to understand the status of complicated underground structures and to investigate the geological data in the exact 3 dimensional space. Moreover, using 4 dimensional simulation, designer is able to determine the bottle neck point which appear during hauling of excavated rocks and to investigate the daily fluctuation in cost.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.6
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• pp.385-391
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• 2022

This paper presents to develop a path planning algorithm combining gradient descent-based path planning (GBPP) and particle swarm optimization (PSO) for considering prohibited flight areas, terrain information, and characteristics of fixed-wing unmmaned aerial vehicle (UAV) in 3D space. Path can be generated fast using GBPP, but it is often happened that an unsafe path can be generated by converging to a local minimum depending on the initial path. Bio-inspired swarm intelligence algorithms, such as Genetic algorithm (GA) and PSO, can avoid the local minima problem by sampling several paths. However, if the number of optimal variable increases due to an increase in the number of UAVs and waypoints, it requires heavy computation time and efforts due to increasing the number of particles accordingly. To solve the disadvantages of the two algorithms, hierarchical path planning algorithm associated with hierarchical particle swarm optimization (HPSO) is developed by defining the initial path, which is the input of GBPP, as two variables including particles variables. Feasibility of the proposed algorithm is verified by software-in-the-loop simulation (SILS) of flight control computer (FCC) for UAVs.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.132-135
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• 2011

최근 설계 단계에서 설계품질 향상과 시공 단계에서 비용 절감을 효과를 기대하며 3차원 BIM 관련 기술에 대한 관심이 높아가고 있으며, 또한 부분적으로 기술 도입 효과가 나타나고 있다. BIM 기술은 크게 BIM 도구를 활용하여 설계정보를 디지털화하는 모델링 단계 기술과 BIM 모델로부터 설계 정보를 추출하여 업무 진행에 필요한 형태로 가공, 변환하는 정보 활용 기술로 구분하여 생각할 수 있다. BIM 기술에 대한 근자의 높은 관심에도 불구하고 실제 현장에 적용되어 가시적인 성과를 내는 데에 한계를 보이고 있는 이유 중 하나로 후자의 정보 추출 및 활용 기술의 범위와 완성도의 한계를 들 수 있다. 즉 많은 노력을 통하여 BIM 모델을 구축하더라도 이를 기반으로 물량산출, 도면 생성 등 가장 기본적인 업무조차도 현장에서 바로 사용할 수 있는 수준의 기능이 제공되고 있지 않다. 본 연구에서는 건축 골조를 대상으로 3차원 골조 모델을 이용하여 골조 물량, 특히 정확한 물량산출이 상대적으로 어려운 철근에 대하여 철근의 이음, 정착 등이 고려된 실행물량을 산출할 수 있는 시스템을 설계하고 구현하였다. 또한 3차원 모델을 기반으로 철근 배근시공도와 가공일람표를 관련 기준에 따라 정확히 자동 작성함으로써 골조공사가 효율적으로 수행되고, 특히 정확한 이음 및 정착과 가공 계획을 통하여 철근 손실율을 최소화함이 기대된다. 본 논문에서는 이러한 BIM 기반 골조 물량산출 및 도면생성 시스템과 관련하여 주요 시스템 설계 내용과 구현 결과에 대하여 기술한다.

• 한국게임학회지
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• v.6 no.1
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• pp.52-54
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• 2009

프로그램된 정보를 사용하는 자율 가상 캐릭터는 항상 반복된 패턴 행동을 하기 때문에 사용자가 흥미를 잃는 경우가 많고 현실성도 떨어진다. 본 논문에서는 이러한 문제점을 해결하기 위해, 자율 가상캐릭터가 자율적으로 인지한 정보를 저장하고 저장한 정보를 활용하여 상황에 맞는 행동을 수행할 수 있는 메모리 체계를 제안한다. 본 논문은 자율 가상 캐릭터가 시각 주목으로 인지한 정보를 저장하고 관리하는 메모리 체계의 모델을 제시한다. 메모리 용량을 효율적으로 사용할 수 있도록 게임 환경에 적합한 빠른 시각 주목 알고리즘을 연구하여 중요하고 눈에 띄는 정보만 저장한다. 자율 가상 캐릭터의 인지 메모리를 크게 시각 기억와 공간 관계 기억 구조로 구성한다. 시각 기억은 쿼드그래프로 구현된 저장 구조에 인지한 정보를 저장한다. 공간 관계 기억은 공간 관계 그래프 이론을 기반으로 객체들간의 방향과 거리 정보를 저장한다. 본 논문의 제안 방법을 가상 환경에서 실험한 결과, 자율 가상 캐릭터는 시각 주목 기능으로 3차원 가상 환경의 동적 객체까지 감지하여 자율적으로 정보를 주목하여 저장하고 있음을 확인했다. 자율 가상캐릭터는 메모리 정보를 활용하여 목표 객체를 빠르게 탐색하며 길찾기에 필요한 경로 계획을 수립한다. 성능면에서는 주목맵만들기 위한 특징맵으로 가장 주목할 수 있는 특징들로 구성하여 처리속도가 1.6배 이상 향상됨을 확인했다.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.3
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• pp.160-173
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• 2013

In this paper, we propose a new visual odometry technique by combining a forward-looking stereo camera and a backward-looking monocular camera. The main goal of the proposed technique is to identify the location of a moving vehicle which travels long distance and comes back to the initial position in urban road environments. While the vehicle is moving to the destination, a global 3D map is updated continuously by a stereo visual odometry technique using a graph theorem. Once the vehicle reaches the destination and begins to come back to the initial position, a map-based monocular visual odometry technqieu is used. To estimate the position of the returning vehicle accurately, 2D features in the backward-looking camera image and the global map are matched. In addition, we utilize the previous matching nodes to limit the search ranges of the next vehicle position in the global map. Through two navigation paths, we analyze the accuracy of the proposed method.

• Journal of the Korean Academy of Esthetic Dentistry
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• v.30 no.2
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• pp.71-90
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• 2021

The virtual patient dataset is a collection of diagnostic data from various sources acquired from a single patient into a coordinate system of three-dimensional visualization. Virtual patient dataset makes it possible to establish a treatment plan, simulate various treatment procedures, and create a treatment planning delivery device. Clinicians can design and simulate a patient's smile on the virtual patient dataset and select the optimal result from the diagnostic process. The selected treatment plan can be delivered identically to the patient using manufacturing techniques such as 3D printing, milling, and injection molding. The delivery of this treatment plan can be linked to the final prosthesis through mockup confirmation through provisional restoration fabrication and delivery in the patient's mouth. In this way, if the diagnostic data superimposition and processing accuracy during the manufacturing process are guaranteed, 3D digital smile design simulated in 3D visualization can be accurately delivered to the real patient. As a clinical application method of the virtual patient dataset, we suggest a decision-making method that can exclude occlusal adjustment treatment from the treatment plan through the digital occlusal pressure analysis. A comparative analysis of whole-body scans before and after temporomandibular joint treatment was suggested for adolescent idiopathic scoliosis patients with temporomandibular joint disease. Occlusal plane and smile aesthetic analysis based on the virtual patient dataset was presented when treating patients with complete dentures.

• The Journal of Korea Robotics Society
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• v.18 no.3
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• pp.337-345
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• 2023

In this paper, we propose a 3D LiDAR sensor-based costmap generation and path planning algorithm using it for reliable autonomous flight in complex indoor environments. 3D path planning is essential for reliable operation of UAVs. However, existing grid search-based or random sampling-based path planning algorithms in 3D space require a large amount of computation, and UAVs with weight constraints require reliable path planning results in real time. To solve this problem, we propose a method that divides a 3D space into several 2D spaces and a path planning algorithm that considers the distance to obstacles within each space. Among the paths generated in each space, the final path (Best path) that the UAV will follow is determined through the proposed objective function, and for this purpose, we consider the rotation angle of the 2D space, the path length, and the previous best path information. The proposed methods have been verified through autonomous flight of UAVs in real environments, and shows reliable obstacle avoidance performance in various complex environments.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.347-352
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• 2012

In this paper, an 2D spatial-map construction for workers identification and avoidance of AGV using the detection scheme of the spatial coordinates based on stereo camera is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity map obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth map can be detected. From some experiments on AGV driving with 240 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the worker's width is found to be very low value of 2.19% and 1.52% on average.