• Journal of the Korea Computer Graphics Society
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• v.26 no.5
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• pp.15-24
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• 2020

We present a supervised learning method that estimates the simulation parameters required to simulate the fabric from the static drape shape of a given fabric sample. The static drape shape was inspired by Cusick's drape, which is used in the apparel industry to classify fabrics according to their mechanical properties. The input vector of the training model consists of the feature vector extracted from the static drape and the density value of a fabric specimen. The output vector consists of six simulation parameters that have a significant influence on deriving the corresponding drape result. To generate a plausible and unbiased training data set, we first collect simulation parameters for 400 knit fabrics and generate a Gaussian Mixed Model (GMM) generation model from them. Next, a large number of simulation parameters are randomly sampled from the GMM model, and cloth simulation is performed for each sampled simulation parameter to create a virtual static drape. The generated training data is fitted with a log-linear regression model. To evaluate our method, we check the accuracy of the training results with a test data set and compare the visual similarity of the simulated drapes.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.3 s.303
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• pp.23-30
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• 2005

As a human identification technique, gait recognition has recently gained significant attention. Silhouette-based gait recognition is one of the most popular methods. This paper aims to investigate features that determine the style of walking in silhouette-based gait recognition. Gait can be represented using two cues: static(shape) cue and dynamic(motion) cue. Most recently, research results have been reported in the literature that the characteristics of gait are mainly determined by static cue but not affected by dynamic cue. Unlike this, experimental results in this paper verifies that dynamic cue is as important as and in many cases more important than static cue. For experiments, we use two well-blown gait databases: UBC DB and Southampton Small DB. The images of UBC DB correspond to the 'ordinary' style of walking. The images of Southampton Small DB correspond to the 'disguised' (not ordinary by wearing special clothes or bags) style of walking. As results of experiments, the recognition rate was 100% by static cue and $95.2\%$ by dynamic cue for the images of UBC DB. For the images of Southampton Small DB, the recognition rate was $50.0\%$ by static cue and $55.8\%$ by dynamic cue. The risk against correct recognition was 0.91 by static cue and 0.97 by dynamic cue for the images of UBC DB. For the images of Southampton Small DB, the risk was 0.98 by static cue and 0.98 by dynamic cue. Consequently, the characteristics of ordinary gait are mainly determined by static cue but that of disguised gait by dynamic cue.

• The tire
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• s.111
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• pp.20-29
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• 1984

유한요소법에 의하여 축대칭 정적하중을 받는 승용차용 래디알 타이어의 변형을 해석하였다. 요소는 8절점 parabolic-isoparametric 요소를 사용하였으며 타이어를 구성하는 cord-rubber복합체를 선형직교성을 갖는다고 가정하고, 그 복합체의 물성치를 간단한 식으로 표시하여 적용하였다. 공기압으로 인해 변형된 모양 및 cord에 작용하는 장력을 계산해 냈으며 이 변형된 모양을 plaster cast를 이용하여 측정한 실험치와 비교하였다. 또 타이어를 구성하는 구조가 달라지면 공기압으로 인하여 변형형태가 어떻게 변화하는가를 계산해 보았다. 이 결과로 belt의 cord수가 감소하거나 belt cord angle이 증가하면 타이어 외경이 증가함을 알 수 있다.

• Journal of Ocean Engineering and Technology
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• v.10 no.1
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• pp.92-99
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• 1996

Longline type aquaculture facilities are being used for scallpop culture in 30 m of water 2.5 km off the coast of Joomoonjin, Kangwon-do. In this paper, the facilities are modeled by the cabele-buoy-weight system, subject to the nonlinear behaviors of the mooring lines and the effects of current. Its static configuration is shown as a solution of 3-D nonlinear static equation and Runge-Kutta $4^{th}$ method is employed.

• Tunnel and Underground Space
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• v.27 no.3
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• pp.121-131
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• 2017

We studied the time-dependent behaviors of rock and concrete materials by conducting the static and dynamic long-term strength tests. In particular, acoustic emission(AE) signals generated while the tests were analyzed and used for the long-term stability evaluation. In the static subcritical crack growth test, the long-term behavior and AE characteristics of Mode I and Mode II were investigated. In the dynamic long-term strength test, the fatigue limit and characteristics of generation of AE were analyzed through cyclic four points bending test. The graph of the cumulative AE hits versus time showed a shape similar to that of the creep curve with the first, second and third stages. The possibility for evaluating the static and dynamic long-term stability of rock and concrete is presented from the log - log relationship between the slope of the secondary stage of cumulative AE hits curve and the delayed failure time.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.323-326
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• 2014

본 논문에서는 깊이 카메라를 이용한 사용자의 손 모양, 특히 수화를 인식하는 방법에 대해 제안한다. 손 모양 인식은 손가락 검출과 손 인식으로 크게 2가지로 나눌 수 있다. 손가락 검출을 위해 본 시스템에서는 Distance Transform을 이용하여 손의 뼈대를 검출 하고, Convex Hull을 통해 손가락을 검출하는 방법을 제안한다. 뼈대 검출은 보다 정확한 손가락을 검출할 수 있는 장점이 생긴다. 손 인식에는 손 중심과 손가락의 길이, 손의 축, 손가락의 축, 팔 중심의 위치 등을 이용하여 Decision Tree를 생성하고, 반복적 검사를 통해 인식의 오류율을 줄였다. 실험결과에서는 수화 인식이 성공적으로 잘 인식 되었다는 것을 보인다.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1304-1319
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• 2004

We can significantly reduce the cost o# program testing by automating the process of test data generation. Test data generation usually concerns identifying input values on which a selected path is executed. Although lots of research has been done so far, there still remains a lot of issues to be addressed. One of the issues is the shape problem. The shape problem refers to the problem of figuring out a shape of the input data structure required to cause the traversal of a given path. In this paper, we introduce a new method for the shape problem. The method converts the selected path into static single assignment (SSA) form without pointer dereferences. This allows us to consider each statement in the selected path as a constraint involving equality or inequality. We solve the constraints to get a solution which will be represented in terms of the points-to relations for each input variable. Simple, but illustrative examples are given to explain the proposed method.

• The Korean Journal of Nuclear Medicine
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• v.22 no.2
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• pp.205-207
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• 1988

이제까지 슬관절 파열의 진단에는 관절조영술이나 관절경검사가 주로 이용되어 왔다. 저자들은 골스캔을 이응해서 슬관절 반월판 파열의 진단을 시도하였다. 슬관절 조영술이나 관절경검사로 확진된 반월판 파열 환자 7명에 대해 $^{99m}Tc-MDP$와 $^{99m}Tc-PYP$, 20mCi를 주사해서 동적, 정적영상 및 바늘구명 조준기를 이용한 영상을 얻었다. 그 소견은 1) 동적영상에서 반월판 손상부위의 혈류가 국소적으로 증가되었고, 2) 정적영상 및 바늘구멍 조준기를 이용한 영상에서 손상 부위의 경골과(tibial plateau)를 따라 특징적으로 얇은판 모양의 방사능 집적을 관찰할 수 있었다. 슬관절의 골신티그래피는 반월판 파열의 유용한 진단 방법으로 사료된다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.178-181
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• 2002

본 논문에서는 서명의 동적 특징에 기반한 구간 분할과 3단계 정합을 특징으로 하는 온라인서명 인증 시스템을 제안한다. 온라인 서명 인증을 위해 구간 분할에 이은 구간별 정합이 널리 연구, 적용되어왔다. 그러나 기존의 구간 분할법은 정적 특징인 서명의 모양에 기반하므로 모조의 단서를 제공하는 위험이 있었다. 제안한 방법은 전자 펜의 속도나 가속도 등과 같은 동적 특징을 기반으로 구간 분할을 수행하므로써 모조가 어렵게 하였다. 분할된 구간들은 모델 서명의 구간들과 보강된 동적 프로그래밍(DP) 기법으로 대응 구간들을 찾도록 하였으며, 이 과정에서 정적 특징량을 제한 조건으로 사용하므로써 안정되게 대응 구간을 추출하였다. 또한 서명 특징들에 가중치를 부여하고, 정합 단계를 세 단계로 분리하므로써 상충 관계에 있는 Type Ⅰ과 Ⅱ오류를 최소화하였다. 실험은 온라인 서명 특징들간의 비교 분석을 통해 그들의 가중치를 결정하는 근거를 보이고, 동적 특징에 기반한 구간 분할의 유효성을 보였다.

• Journal of the Society of Naval Architects of Korea
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• v.32 no.2
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• pp.56-67
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• 1995

In this paper, a ship-cable-vehicle system's static configuration is shown obtained by solving cable nonlinear statics. Eigenfrequencies of the cable were calculated by the frequency domain analysis application of the linearized cable dynamic equations. Also extreme tensions in a slack-and-snapping long vertical cable were calculated by the clip-ping-off model.