• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.328-330
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• 2016

내시경을 이용한 진단 및 시술은 빈번하게 이루어지고 있으며, 대장암의 증가와 정부의 암 조기검진사업의 영향으로 시행건수가 많아지면서 천공 및 출혈 등의 의료사고도 늘어나고 있다. 내시경 장비를 이용한 시술은 시술자의 경험이나 감각, 숙련도에 의존하여 시행된다. 내시경 시술시 내시경 선단부의 수평 및 수직, 압력에 대한 실시간 정보를 제공하면 의료사고를 줄일 수 있다. 본 논문에서는 가속도와 자이로센서를 융합하여 각도 및 자세정보를 얻고 압력센서를 이용하여 선단부가 받는 압력을 시술자에게 제공하여 내시경 시술시 천공 및 출혈 등의 의료사고를 줄일 수 있는 방안을 제시한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.2
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• pp.84-91
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• 2009

This paper presents an online partial 3D modeling methodology that uses a mobile augmented reality system and aerial photographs, and a tracking methodology that compares the 3D model with a video image. Instead of relying on models which are created in advance, the system generates a 3D model for a real building on the fly by combining frontal and aerial views. A user's initial pose is estimated using an aerial photograph, which is retrieved from a database according to the user's GPS coordinates, and an inertial sensor which measures pitch. We detect edges of the rooftop based on Graph cut, and find edges and a corner of the bottom by minimizing the proposed cost function. To track the user's position and orientation in real-time, feature-based tracking is carried out based on salient points on the edges and the sides of a building the user is keeping in view. We implemented camera pose estimators using both a least squares estimator and an unscented Kalman filter (UKF). We evaluated the speed and accuracy of both approaches, and we demonstrated the usefulness of our computations as important building blocks for an Anywhere Augmentation scenario.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.93-102
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• 2007

A serious problem to fight DDoS attacks is that attackers use incorrect or spoofed IP addresses in the attack packets. Due to the stateless nature of the internet, it is a difficult problem to determine the source of these spoofed IP packets. The most of previous studies to prevent and correspond to DDoS attacks using the traceback mechanism have been accomplished in IPv4 environment. Even though a few studies in IPv6 environment were introduced, those have no detailed mechanism to cope with DDoS attacks. The mechanisms for tracing the origin of attacks in IPv6 networks have so many differences from those of IPv4 networks. In this paper we proposed a lightweight IP traceback mechanism in IPv6 network environment. When marking for traceback is needed, the router can generate Hop-by-Hop option and transmit the marked packet. We measured the performance of this mechanism and at the same time meeting the efficient marking for traceback.

• The KIPS Transactions:PartB
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• v.17B no.5
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• pp.345-354
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• 2010

Visual tracking techniques for Augmented Reality are classified as either a marker tracking approach or a natural feature tracking approach. Marker-based tracking algorithms can be efficiently implemented sufficient to work in real-time on mobile devices. On the other hand, natural feature tracking methods require a lot of computationally expensive procedures. Most previous natural feature tracking methods include heavy feature extraction and pattern matching procedures for each of the input image frame. It is difficult to implement real-time augmented reality applications including the capability of natural feature tracking on low performance devices. The required computational time cost is also in proportion to the number of patterns to be matched. To speed up the natural feature tracking process, we propose a novel fast tracking method based on optical flow. We implemented the proposed method on mobile devices to run in real-time and be appropriately used with mobile augmented reality applications. Moreover, during tracking, we keep up the total number of feature points by inserting new feature points proportional to the number of vanished feature points. Experimental results showed that the proposed method reduces the computational cost and also stabilizes the camera pose estimation results.

• ICROS
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• v.3 no.2
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• pp.58-63
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• 1997

GPS 응용 기술 중에서 항공우주에 연관된 2분야인 비행체 항법과 위성체 자세 결정 및 항법에 대해 알아보았다. 그밖의 중요한 GPS의 응용으로 자동차 항법 및 추적, 항공교통 통제, 측량, 측지학, 선박의 항법 및 추적, 시각동기 등이 있다. 항공기의 항법장치는 그 정확도와 안전도가 매우 엄격하기 때문에 가장 진보된 GPS 응용기술이 요구되고 있다. 따라서 항공기 항법장치의 개발은 다른 GPS 응용에 대한 파급 효과가 크기 때문에 무척 중요하다고 하겠다. 서기 2000년대에 광역위성항법시스템(WAAS)이 본격적으로 작동하게 되면 미국은 항공에 관한 사업만으로도 약 20억불을 절약할 수 있게 된다. 한국에서도 4-5개의 광역기준으로 구성되는 광영위성항법시스템을 구축하면 착륙접근을 위한 공간이 충분하지 않은 많은 공항들에 대해 항공기 착륙유도에 대한 안전도와 신뢰도를 높일 수 있고 따라서 항공기 사고를 효과적으로 예방할 수 있게 된다. 광역위성항법 시스템은 항공기 뿐만 아니라, 자동차나 선박 그리고 다른 GPS 응용에 있어서도 그 정확도와 안전도를 높이는데 이용될 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.526-528
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• 2004

본 논문은 센서 네트워크 환경에서 사용자 센싱을 통한 입력장치인 MGlove (Multiple-sensing Clove)의 구현에 대해 기술한다. 본 입력장치는 버튼 없이 2축 가속 센서, 2축 자기 센서, 포토 다이오드의 세 가지 종류의 센서를 사용하여 사용자의 손동작을 통해 입력을 감지하고 RF 모듈을 이용하여 무선으로 통신 가능하다. 구현한 MGlove는 유비 쿼터스 센서 네트워크 환경을 위한 입력 장치로 context-aware input device로의 발전 가능성이 있으며, 센서 추적 기법을 통해 사용자의 자세, 위치, 방향에 관계없이 입력 가능하고 RF모듈을 통해 먼 거리에서도 조작이 가능한 특징을 가진다.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.96-102
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• 2007

본 논문에서는 자연스러운 증강현실 환경을 위하여 패치 기반의 텍스쳐 합성을 통한 마커 은닉 방법을 제안한다. 증강현실에서 카메라의 자세를 구하기 위한 보편적인 방법은 음영 대비가 뚜렷한 정사각형의 마커를 사용하는 것이다. 이러한 인위적인 마커의 사용은 물체의 인식과 추적을 용이하게 하지만 증강된 장면의 실감성을 감소시켜 사용성 저하를 유발하기도 한다. 제안된 마커 은닉 방법은 실시간성을 보장하면서, 배경 텍스쳐의 전역적인 특성을 유지하고, 주변 환경의 변화에 유연하다.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.424-431
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• 2020

This paper focused on the development of sports robot that detects a human player and shots a serve ball automatically. When robot technologies apply to the sports machine, the domain problems occurs such as outdoor environments and playing condition to recognize the visual and the vocal modalities. Gaussian mixture model and Kalman filter are used to detect the player's position in the left, right, and depth direction and to avoid the noises caused by the player's posture variation around the net. The sports robot is designed by the pan-tilt structure to shot a serve ball by pneumatic control under the multi layered software architecture. Finally, the proposed tracking and the machine performance are discussed by experimental results.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.101-111
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• 2011

Most researches in WSN-based parking management system used wireless sensors to monitor the events in a car parking area. However, the problem of car collisions in car parks was not discussed by previous researches. The car position details over time are vital in analyzing a collision event. This paper proposes a collision verification method to detect and to analyze the collision event in the parking area, and then notifies car owners. The detection uses the information from motion sensors for comprehensive details of position and direction of a moving car, and the verification processes an object tracking technique with a fast OBB intersection test. The performance tests show that the location technique is more accurate with additional sensors and the OBB collision test is faster compared to a normal OBB intersection test.

• The KIPS Transactions:PartB
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• v.14B no.3 s.113
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• pp.171-182
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• 2007

We propose a simple method for tracking a nonparameterized subject contour in a single video stream with a moving camera and changing background. Then we present a method to eliminate the tracked contour object by replacing with the background scene we get from other frame. First we track the object using LOD (Level-of-Detail) canny edge maps, then we generate background of each image frame and replace the tracked object in a scene by a background image from other frame that is not occluded by the tracked object. Our tracking method is based on level-of-detail (LOD) modified Canny edge maps and graph-based routing operations on the LOD maps. We get more edge pixels along LOD hierarchy. Our accurate tracking is based on reducing effects from irrelevant edges by selecting the stronger edge pixels, thereby relying on the current frame edge pixel as much as possible. The first frame background scene is determined by camera motion, camera movement between two image frames, and other background scenes are computed from the previous background scenes. The computed background scenes are used to eliminate the tracked object from the scene. In order to remove the tracked object, we generate approximated background for the first frame. Background images for subsequent frames are based on the first frame background or previous frame images. This approach is based on computing camera motion. Our experimental results show that our method works nice for moderate camera movement with small object shape changes.