• 한국CDE학회논문집
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• 제22권1호
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• pp.89-99
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• 2017

In order to make a virtual endoscopy system effective for exploring the interior of the 3D model of a human organ, it is necessary to generate an accurate navigation path located inside the 3D model and to obtain consistent camera position and pose estimation along the path. In this paper, we propose an approach to virtual navigation of blood vessels, which makes proper use of orthogonal contours and skeleton curves. The approach generates the orthogonal contours and the skeleton curves from the 3D mesh model and its voxel model, all of which represent the blood vessels. For a navigation zone specified by two nodes on the skeleton curves, it computes the shortest path between the two nodes, estimates the positions and poses of a virtual camera at the nodes in the navigation zone, and interpolates the positions and poses to make the camera move smoothly along the path. In addition to keyboard and mouse input, intuitive hand gestures determined by the Leap Motion SDK are used as user interface for virtual navigation of the blood vessels. The proposed approach provides easy and accurate means for the user to examine the interior of 3D blood vessels without any collisions between the camera and their surface. With a simple user study, we present illustrative examples of applying the approach to 3D mesh models of various blood vessels in order to show its quality and usefulness.

• 전기학회논문지
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• 제59권12호
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• pp.2314-2318
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• 2010

For human-robot interaction, a robot should recognize the meaning of human behavior. In the case of static behavior such as face expression and sign language, the information contained in a single image is sufficient to deliver the meaning to the robot. In the case of dynamic behavior such as gestures, however, the information of sequential images is required. This paper proposes behavior classification by using fuzzy classifier to deliver the meaning of dynamic behavior to the robot. The proposed method extracts feature points from input images by a skeleton model, generates a vector space from a differential image of the extracted feature points, and uses this information as the learning data for fuzzy classifier. Finally, we show the effectiveness and the feasibility of the proposed method through experiments.

• 전기학회논문지
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• 제60권10호
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• pp.1946-1950
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• 2011

This paper deals with an input device without the touch. The existing touch screens have some problems such as the week durability by frequent contact and the high cost by complex hardware configuration. In this paper, a non-touch input device is proposed to overcome these problems. The proposed method uses a skin color generated by the HCbCr color model and a hand region obtained by the labeling technique. In Addition, the skeleton model is employed to improve the recognition performance of the hand motion. Finally, the experiment results show the applicability of the proposed method.

• 한국군사과학기술학회지
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• 제12권2호
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• pp.152-158
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• 2009

In this paper, the right arm was modelled by muscle-skeleton elements to obtain the behavior of right arm of human under impact condition, where physical and geometrical properties of human body such as Young's modulus, shear modulus, cross sectional area, length, density, moment of inertia and position were defined. Based on the numerical model of the right arm, the impact response of the right arm was obtained. By the comparison with the experimental results, the model of the right arm was verified.

• Structural Engineering and Mechanics
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• 제27권6호
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• pp.697-711
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• 2007

Though extensive research has been carried out for the ultimate strength of steel reinforced concrete (SRC) members under static and cyclic load, there was only limited information on the applied analysis models. Modeling of the inelastic response of SRC members can be accomplished by using a microcosmic model. However, generally used microcosmic model, which usually contains a group of parameters, is too complicated to apply in the nonlinear structural computation for large whole buildings. The intent of this paper is to develop an effective modeling approach for the reliable prediction of the inelastic response of SRC columns. Firstly, five SRC columns were tested under cyclic static load and constant axial force. Based on the experimental results, normalized trilinear skeleton curves were then put forward. Theoretical equation of normalizing point (ultimate strength point) was built up according to the load-bearing mechanism of RC columns and verified by the 5 specimens in this test and 14 SRC columns from parallel tests. Since no obvious strength deterioration and pinch effect were observed from the load-displacement curve, hysteresis rule considering only stiffness degradation was proposed through regression analysis. Compared with the experimental results, the applied analysis model is so reasonable to capture the overall cyclic response of SRC columns that it can be easily used in both static and dynamic analysis of the whole SRC structural systems.

• 한국지능시스템학회논문지
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• 제25권2호
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• pp.139-146
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• 2015

본 논문에서는 교정 제어에 의한 스위칭 비동기 순차 머신의 모델 정합 문제를 다룬다. 스위칭 비동기 순차 머신은 스위칭 신호에 따라서 여러 개의 비동기 순차 머신 특성을 번갈아 가면서 가지는 시스템이라고 정의한다. 이번 연구에서 스위칭 시스템이 가질 수 있는 스위칭 시퀀스(sequence)는 일정하게 고정되어 있다고 가정한다. 제어 목적은 폐루프 시스템의 안정 상태 동작을 주어진 기준 모델과 일치시키는 교정 제어기의 존재조건을 규명하고 제어기를 설계하는 일이다. 이를 위해서 스위칭 비동기 머신이 가지는 도달가능성을 표현하는 새로운 skeleton 행렬을 도입하고 모델 정합 교정 제어기의 존재조건을 기술한다. 또한 사례 연구를 통해 스위칭 신호를 생성하면서 동시에 교정 제어 입력을 변화시키는 새로운 교정 제어 알고리듬을 예시한다.

• Geomechanics and Engineering
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• 제13권1호
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• pp.1-23
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• 2017

A coupled liquid-gas-solid three-phase model, linking two numerical codes (TOUGH2/EOS3 and $FLAC^{3D}$), was firstly established and validated by simulating an in-situ air flow test in Essen. Then the coupled model was employed to investigate responses of multiphase flow and soil skeleton deformation to compressed air or freshwater injection using the same simulation conditions in an aquifer of Tianjin, China. The simulation results show that with injecting pressurized fluids, the vertical effective stress in some area decreases owing to the pore pressure increasing, an expansion of soil skeleton appears, and land uplift occurs due to support actions from lower deformed soils. After fluids injection stops, soil deformation decreases overall due to injecting fluids dissipating. With the same applied pressure, changes in multiphase flow and geo-mechanical deformation caused by compressed air injection are relatively greater than those by freshwater injection. Furthermore, the expansion of soil skeleton induced by compressed air injection transfers upward and laterally continuously with time, while during and after freshwater injection, this expansion reaches rapidly a quasi-steady state. These differences induced by two fluids injection are mainly because air could spread upward and laterally easily for its lower density and phase state transition appears for compressed air injection.

• 한국산학기술학회논문지
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• 제21권8호
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• pp.530-536
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• 2020

일반적인 지문 인식기에서 이용되는 미뉴셔 특징은 표현 공격에는 강건하지만 오 정합률이 상대적으로 높다는 약점이 있다. 따라서 미뉴셔 특징은 스켈리톤 영상과 함께 이용되는 경향이 있다. 보통 지문의 미뉴셔 특징에 대한 보안 취약성 연구는 많이 진행되어 있으나 스켈리톤에 대한 취약성 연구는 미약한 형편이므로 본 연구에서는 스켈리톤에 대한 표현 공격의 취약성을 분석하고자 한다. 이를 위해, 본 연구에서는 지문의 스켈리톤으로부터 학습 알고리즘을 사용해 원래의 지문을 복구하는 방법을 제시한다. 본 논문에서 제시된 방법은 기존의 Pix2Pix 모델에 잠재 벡터를 추가한 새로운 학습 모델인 Pix2Pix을 제안하여, 보다 자연스러운 지문을 생성한다. 본 논문의 실험 결과에서는 제시된 학습 알고리즘을 이용해 원래의 지문을 복원한 다음, 복원된 지문을 지문 인식기에 입력시켜 높은 인식률을 달성하였다. 그러므로 본 연구는 스켈리톤을 함께 이용하는 지문 인식기는 표현 공격에 취약함을 검증하였다. 본 논문에서 제시된 접근방법은 지문 인식 및 복원, 비디오 보안, 생체 인식 등과 연관된 많은 실제적인 응용 분야에서 유용하게 사용될 것으로 기대된다.

• 방송공학회논문지
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• 제21권5호
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• pp.782-791
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• 2016

영상에서 배경으로부터 객체를 추출하는 영상 segmentation 알고리즘은 물체 인식 및 추적 등 다양한 응용분야에서 활용될 수 있다. 본 논문에서는 고정된 카메라에서 다수의 초기 프레임을 참조하여 실시간 객체 segmentation 방법을 제안한다. 먼저 객체와 배경을 분류하는 확률모델을 제안하였으며 초기 프레임 동안에 카메라의 color consistency와 focus 특성을 분석하여 안정적인 segmentation 성능을 증가시켰다. 또한 분류된 객체에서 human의 skeleton 특성을 이용하여 추출 결과를 보정하는 방법을 제안한다. 마지막으로 제안된 알고리즘은 객체 segmentation 실시간 처리를 위하여 복잡도를 최소화하므로 다양한 mobile 단말에 확대 적용 가능하다.

• Bulletin of the Korean Chemical Society
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• 제31권12호
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• pp.3760-3764
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• 2010

We screened 10,000 heterocyclic small molecules and identified a novel hit core skeleton of 3-(8-chloro-6-(trifluoromethyl) imidazo[1,2-a]pyridine-2-yl)phenyl acetate derivatives. It has been selected as a potential glucagon-like peptide 1 receptor (GLP-1R) activator and demonstrated its effects in increasing GLP-1 secretion, and thereby increasing the glucose responsiveness in both in vitro and pharmacology analyses. Further studies are currently underway to optimize the potency and selectivity of 3-(8-chloro-6-(trifluoromethyl)imidazo[1,2-a]pyridine-2-yl)phenyl acetate derivatives (hit compounds 2 and 8), and address their in vivo efficacy and therapeutic potential. These molecules may serve as useful evidence showing that compounds with a 3-(8-chloro-6-(trifluoromethyl)imidazo[1,2-a]pyridine-2-yl)phenyl acetate moiety are selective GLP-1R agonists, and have potential as anti-diabetic treatment agents.