• 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.

• Science of Emotion and Sensibility
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• v.10 no.4
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• pp.539-554
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• 2007

Pilots of large airplanes have to land their airplanes with insufficient visual information because of high approach speed, high vertical velocity and high location or altitude of the cockpits from the runway intending to touch down. This study verifies that, due to the insufficient information, large airplane pilots can't exactly perceive height of their airplanes during the flare. Study 1 explored whether it's possible for the pilots to accurately perceive height with the static visual cues only. We showed them pictures of the runway taken from the pilot's pionts of view and asked them to assess the height of the airplanes. They determined exact height of the airplanes at the height of 85 feet, but they could not, at lower than 55 feet which is the flare preparation altitude. Study 2 explored whether it's possible for the pilots to accurately perceive height when dynamic cues were added to the static visual cues. We showed them videos of the runway taken from the pilot's pionts of view. With more cues they determined exact height of the airplanes at the height of 50 feet, but they could not, at the altitude of lower than 30 feet which is the flare altitude. As experience is believed to be a major factor which affects interpretation of the visual cues, we compared the accuracy of the assessment of the experienced captions and that of the in-experienced first officers. We found there was no significant difference between them.

• 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.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2013.10a
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• pp.833-835
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• 2013

• Journal of Korean Ophthalmic Optics Society
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• v.20 no.3
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• pp.385-390
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• 2015

Purpose: This study evaluated the static stereoacuity by Distance Randot Stereotest (STEREO OPTICAL. Co., Inc. USA) and the dynamic stereoacuity by three-rods test (iNT, Korea). Criterion and correlation of stereoacuity between both tests and usefulness of two stereotest methods were also evaluated. Methods: For normal adults of 109 (male 61, female 48), mean age of 20.88 (19-32 years) years old, static stereoacuity by using Distance Randot Stereotest at 3 m distance, dynamic stereoacuity by using three-rods test at 2.5 m distance were measured. Results: The mean of distance static stereoacuity was $155.77{\pm}133.11sec$ of arc and the mean of error distance dynamic stereoacuity $11.13{\pm}9.69mm$. With equivalent-conversion stereoacuity of $23.44{\pm}20.96sec$ of arc, there was statistically significant differences (p=0.00) between two dynamic stereoacuity, but correlation was relatively low (${\rho}=0.226$). In the case of dynamic stereoacuity, separated to normal range by criterion of the error distance 20 mm, it showed the error distance of less than 20 mm in 97 subjects(89%) whose average of error distance and conversion mean dynamic stereoacuity were $8.43{\pm}5.10mm$ and $17.68{\pm}10.67sec$ of arc. repectively. The error distance of was equivalent-conversion dynamic stereoacuity 40.99 sec of arc (PD 62 mm basis) was 20 mm. Conclusions: The results of lower correlation between static and dynamic stereoacuity suggest that seterotest should be applied separately to different functions. The results of this study also suggest that Distance Randot Stereotest can be applied to static stereoacuity excluding monocular cues. Three-rods test can be applied to dynamic stereoacuity containing the response of the eye-hand coordination in the daily life of natural vision condition, including the monocular cues. These different approaches canprovide a criterion of the two stereoacuity and parallel use of the two tests would be useful. For dynamic stereoacuity by three-rods test, error distance 20 mm in a normal range of adults can be used as a criteria to get statistical meaning of the results.

• Korean Journal of Materials Research
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• v.7 no.4
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• pp.339-346
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• 1997

회전 불밀에 있어서 볼의 운동을 비선형 spring과 비선형 deshpot로 구성된 Kelvin모델을 사용한 DEM(Distinct Element Method;개별요소법)에 의하여 2차원으로 해석하였다. 모델에 있어서 점성계수는 볼과 밀벽사이의 반발실험 데이타로 부터 결정하였다. 각볼의 동적인 운동은 비선형 점탄성과 Newton의 운동법칙를 기초로하여 모사되었다. 밀이 회전하는 동안 볼의 궤적과 동적인 운동은 실제 실험에 의한 밀내에서의 볼의 운동고 잘 일치하였다. 본 연구에서 제안된 모델 시뮬레이션은 회전 볼밀내의 실제의 3차원인 볼의 운동에 대한 해석에 중요한 단서가 될 수 있었다. 볼의 운동고 운동에너지는 회전 볼밀의 속도와 볼의 충진율에 의해 크게 영향을 받았다.

• Journal of Korea Multimedia Society
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• v.18 no.4
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• pp.460-472
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• 2015

Most of previous visual attention system finds attention regions based on saliency map which is combined by multiple extracted features. The differences of these systems are in the methods of feature extraction and combination. This paper presents a new system which has an improvement in feature extraction method of color and motion, and in weight decision method of spatial and temporal features. Our system dynamically extracts one color which has the strongest response among two opponent colors, and detects the moving objects not moving pixels. As a combination method of spatial and temporal feature, the proposed system sets the weight dynamically by each features' relative activities. Comparative results show that our suggested feature extraction and integration method improved the detection rate of attention region.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.215-219
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• 1997

내적 감성상태와 표정을 연결하는 상관모형을 개발하기 위\ulcorner 기초자료로서 광범위한 얼굴표정자료를 수집하였다. 다양한 얼굴유형의 표정자료를 DB화하기 위해서는 궁극적으로 50명 이상의 인물표정 자료수집이 필요하다고 보고, 우선 영화배우 10면분의 표정자료를 수집하였다. 이를 위해 표정연기가 자연스럽다고 평가된 영화배우 10명을 선정하고, 이들이 출연한 50여편의 영화비디오에서 표정자료를 수집하였다. 한사람의 인물당 50개의 표정을 한세트로 하여 총 10명분 500가지의 표정자료수집을 완료하였다. 한사람의 인물당 50개의 표정을 한 세트로 하여 총 10명분 500가지의 표정자료수집을 완료하였다. 각각의 표정은 시작-상승-절정-하강-종료의 연속 5단계를 비율적으로 표집하여 동적정보를 포함하고 있다. 이들 자료들은 등자인물의 출연맥락이나 상황별로 분류하여 표정관련 맥락단서를 기록하였고, 후속연구를 통해 각 표정에 대응되는 내적상태를 기록할 수 있도록 DB화 하였다. 이와같이 구조화된 자료들은 표정인식과 합성의 입출력모형을 위한 기초자료로 활용될 뿐 아니라, 한국인의 얼굴 프로토타입 DB구축 및 향후 표정관련 연구의 타당성을 검증할 수 있는 Benchmarking 정보를 제공할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.123-125
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• 2020

정보 서비스를 포함한 웹 서비스에서 사용자 의도를 파악하는 것은 해당 사용자에게 맞춤형 서비스를 제공하기 위한 중요한 단서가 된다. 본 연구는 과학기술 대표 정보 서비스인 ScienceON에 맞춤형 서비스를 도입하기 위해 사용자가 해당 서비스를 사용하는 과정에서 발생시키는 사용자-서비스 간 상호작용인 사용자 행동을 분석하고 사용자 의도를 파악하여 동적으로 맞춤형 서비스를 제공하는 방식을 제안한다. 특히, 사용자 행동 상태 전이 모델을 도입하여 사용자가 반복적으로 행하는 검색 행동과 내비게이션 행동을 추적하고 의도를 파악할 수 있도록 한다. 288,200 건의 웹 로그 분석을 통해 만들어진 상태 전이 모델과 특정 사용자 로그를 분석하여 본 연구가 어떻게 사용자 의도를 파악할 수 있는 지를 보여준다.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.309-316
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• 2014

In this paper, we propose an efficient detph map creation method using Graph Cut and Discrete Wavelet Transform. First, we have segmented the original image by using Graph Cut to process with its each areas. After that, the information which describes segmented areas of original image have been created by proposed labeling method for segmented areas. And then, we have created four subbands which contain the original image's frequency information. Finally, the depth map have been created by frequency map which made with HH, HL subbands and depth information calculation along the each segmented areas. The proposed method can perform efficient depth map creation process because of dynamic allocation using depth information. We also have tested the proposed method using PSNR(Peak Signal to Noise Ratio) method to evaluate ours.