• 제목/요약/키워드: Mean-shift model

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전치부 개교환자의 하악 운동에 관한 연구 (A STUDY ON THE MANDIBULAR MOVEMENT OF ANTERIOR OPENBITE PATIENTS)

  • 곽재영;김광남;장익태
    • 대한치과보철학회지
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    • 제32권2호
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    • pp.281-295
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    • 1994
  • It is very important for the ideal restorations of anterior openbite patients to record the mandibular movement and to harmonize mandibular movement with other organs in stomatognathic systems. This study was designed to compare the mandibular movement of anterior openbite patients with that of normal bite(Angle Class I) patients, to ascertain which components of mandibular movement have differences between two groups, and to use for occlusal treatment of mandibular movement. Saphon Visi-trainer Model 3(Tokyo Shizaisha Co. Japan) and Denar Pantronic(Denar Corp.,U.S.A.) were used to record mandibular movement. Pantronic survey was peformed by using an arbitrary hinge axis according to manufacturer's direction. Twenty-eight adult who have physiologically normal occlusion(Angle Class I) and are free of TM dysfunction were selected as a control group(Group 1). Fifteen adult who are anterior openbite patient and have not anterior guidance function and have posterior interference at protrusion were selected as a experimental group(Group 2). The results are as follows : 1. There was no statistically significant difference between the average immediate and progressive side shift of anterior openbite patients(0.54mm, $7.57^{\circ}$) and those of normal group(0.49mm, $5.96^{\circ}$). 2. The average protrusive and orbiting condylar inclination of anterior openbite patient$(30.87^{\circ},\;32.27^{\circ})$ were significantly lower than those of normal group$(36.11^{\circ},\;39.04^{\circ})$ (P<0.05). 3. In the results of Visi-trainer recordings, the mean for the maximum protrusion, the maximum laterotrusion, the angle of laterotrusion and the angle of protrusion in the horizontal trajectory between group 1 and 2 did not differ significantly. 4. The mean for the angle of protrusion, the maximum opening in the frontal trajectory, the ICP-RCP(A-P) distance and the angle of protrusion in the sagittal trajectory differ significantly(P<0.05). 5. The significant correlation was found between orbiting condylar inclination and protrusive condylar inclination.

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강인한 손가락 끝 추출과 확장된 CAMSHIFT 알고리즘을 이용한 자연스러운 Human-Robot Interaction을 위한 손동작 인식 (A Robust Fingertip Extraction and Extended CAMSHIFT based Hand Gesture Recognition for Natural Human-like Human-Robot Interaction)

  • 이래경;안수용;오세영
    • 제어로봇시스템학회논문지
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    • 제18권4호
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    • pp.328-336
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    • 2012
  • In this paper, we propose a robust fingertip extraction and extended Continuously Adaptive Mean Shift (CAMSHIFT) based robust hand gesture recognition for natural human-like HRI (Human-Robot Interaction). Firstly, for efficient and rapid hand detection, the hand candidate regions are segmented by the combination with robust $YC_bC_r$ skin color model and haar-like features based adaboost. Using the extracted hand candidate regions, we estimate the palm region and fingertip position from distance transformation based voting and geometrical feature of hands. From the hand orientation and palm center position, we find the optimal fingertip position and its orientation. Then using extended CAMSHIFT, we reliably track the 2D hand gesture trajectory with extracted fingertip. Finally, we applied the conditional density propagation (CONDENSATION) to recognize the pre-defined temporal motion trajectories. Experimental results show that the proposed algorithm not only rapidly extracts the hand region with accurately extracted fingertip and its angle but also robustly tracks the hand under different illumination, size and rotation conditions. Using these results, we successfully recognize the multiple hand gestures.

토크 컨버터의 모델링을 중심으로 한 변속과도 특성해석 (Analysis of Shifting Transients with Emphasis on the Modeling of a Torque Converter)

  • 임원식;박영일;이장무
    • 대한기계학회논문집
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    • 제19권1호
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    • pp.132-141
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    • 1995
  • The torque converter, an important component of automatic transmissions, is a hydrodynamic device which has a great influence on transient characteristics of vehicle during shift. To predict the accurate driving performance in extremely transient state such as shifting process, a detailed analysis of the torque converter is required. In this study, one dimensional performance model of the torque converter based on the concept of mean flow path, was used to analyze the shifting transients and the exact values of equivalent parameters were determined from the experimental results by using BOX program. The dynamic modelings of the components of power transmission systems such as engines, planetary gear systems, clutches and one-way clutches, were carried out. To analyze the shifting transients of tracked vehicle, a simulation program was developed. In the modeling of power transmission systems, the stiffness of shafts was neglected and shifting control logic(TCU) was included. Using the developed simulation program, the driving conditions were simulated and the results of simulation were verified through the experiments on the dynamometer.

CELP 부호화기를 위한 양방향 패킷 손실 은닉 알고리즘 (BS-PLC(Both Side-Packet Loss Concealment) for CELP Coder)

  • 이인성;황정준;정규혁
    • 대한전자공학회논문지TC
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    • 제42권12호
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    • pp.127-134
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    • 2005
  • VoIP에서 패킷의 손실은 음성의 품질에 영향을 주는 가장 중요한 요인이다. 따라서 수신된 정보로부터 손실된 패킷을 복구하는 것은 중요하다. 따라서 본 논문은 VoIP에서 가장 많이 사용되는 CELP 부호화기를 위한 수신측 기반의 손실 패킷 복구방법을 제안한다. 제안하는 WSOLA(Waveform Shift OverLab Add)기반의 BS-PLC (Both Side Packet Loss Concealment) 방법은 패킷 손실이 발생하였을 경우 미래 패킷을 이용할 수 있는 경우와 그렇지 않을 경우로 나누고, LP(Linear prediction) 파라미터와 여기 신호를 복구한다. 미래 패킷을 이용할 수 없는 경우에는 과거에 전송된 정상 패킷만을 가지고 복원을 하며, 미래 패킷을 이용할 수 있을 경우에는 과거의 정상 패킷과 미래의 정상 패킷을 동시에 이용하여 손실된 패킷을 복구한다. 연속 패킷 손실 환경은 Gilbert 모델로 설정하였고, 제안한 알고리즘을 VoIP에서 가장 많이 사용되는 CELP 음성부호화기인 G.729에 적용하여 성능을 비교한다. 성능 비교를 위해 손실율을 변화시키면서 SNR(Signal to Noise)와 MOS(Mean Opinion Score)측정하였고, 제안한 방법을 G.729의 패킷 손실 은닉 방법과 비교하였다. 실험 결과, 평균 손실률이 $20\%$에서도 SNR은 2dB, MOS값은 0.3정도로의 음질 개선을 보였다.

A Study on Obtaining Tree Data from Green Spaces in Parks Using Unmanned Aerial Vehicle Images: Focusing on Mureung Park in Chuncheon

  • Lee, Do-Hyung;Kil, Sung-Ho;Lee, Su-Been
    • 인간식물환경학회지
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    • 제24권4호
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    • pp.441-450
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    • 2021
  • Background and objective: The purpose of study is to analyze the three-dimensional (3D) structure by creating a 3D model for green spaces in a park using unmanned aerial vehicle (UAV) images. Methods: After producing a digital surface model (DSM) and a digital terrain model (DTM) using UAV images taken in Mureung Park in Chuncheon-si, we generated a digital tree height model (DHM). In addition, we used the mean shift algorithm to test the classification accuracy, and obtain accurate tree height and volume measures through field survey. Results: Most of the tree species planted in Mureung Park were Pinus koraiensis, followed by Pinus densiflora, and Zelkova serrata, and most of the shrubs planted were Rhododendron yedoense, followed by Buxus microphylla, and Spiraea prunifolia. The average height of trees measured at the site was 7.8 m, and the average height estimated by the model was 7.5 m, showing a difference of about 0.3 m. As a result of the t-test, there was no significant difference between height values of the field survey data and the model. The estimated green coverage and volume of the study site using the UAV were 5,019 m2 and 14,897 m3, respectively, and the green coverage and volume measured through the field survey were 6,339 m2 and 17,167 m3. It was analyzed that the green coverage showed a difference of about 21% and the volume showed a difference of about 13%. Conclusion: The UAV equipped with RTK (Real-Time Kinematic) and GNSS (Global Navigation Satellite System) modules used in this study could collect information on tree height, green coverage, and volume with relatively high accuracy within a short period of time. This could serve as an alternative to overcome the limitations of time and cost in previous field surveys using remote sensing techniques.

스톰 하중을 받는 용접 구조물의 피로 수명 평가에 대한 실험 연구 (An Experimental Study on Fatigue Life Evaluation of Welded Joints under Storm Loading)

  • 유창혁;김경수;서용석;심용래;하영수;유원효;최현준
    • 대한조선학회논문집
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    • 제49권1호
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    • pp.99-108
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    • 2012
  • In this paper, fatigue tests are conducted for the specimens with longitudinal and transverse attachment under variable amplitude axial loading based on storm model. Considered loadings include repeated single storm, 6 or 8 storms randomly, and storms including calm sea condition while the mean stress and the maximum stress of loadings are changed. The effect of three variables are investigated; root mean square(RMS) value of stress amplitude, mean stress shift and maximum stress, which can characterize storm loading on fatigue life. In addition, experiments including calm sea loading are also carried out to investigate the effect of calm sea state. Test results are evaluated and compared with DNV-CN2005 and Matsuoka's method for the estimation of crack initiation and propagation life. To verify the validity of the criteria, the measured crack initiation lifes are compared with the specific crack length 15mm, which are calculated with beach marks.

가우시안 영역 분리 기반 명암 대비 향상 (Contrast Enhancement based on Gaussian Region Segmentation)

  • 심우성
    • 방송공학회논문지
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    • 제22권5호
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    • pp.608-617
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    • 2017
  • 영역 분리에 의한 명암대비 방법들이 제안되어 왔지만 영상의 히스토그램에 따라 과포화 되는 부작용이나 밝기 값 보존과 명암대비 효과의 상반 관계에 대한 개선이 필요하다. 본 논문은 다양한 히스토그램에서도 명암 대비가 개선 되도록 영역 분리 시 각 서브 영역이 가우시안 분포를 갖도록 분리하고 영역별 평활화하는 명암 대비 방법을 제안 한다. 영역 분리는 $L^*a^*b^*$ 컬러 공간에서 K-평균 방법과 기대-최대 방법에 의해 영역맵과 확률맵을 생성하며 영역별 히스토그램 평활화 방법은 영역간 히스토그램 중복 최소를 위해 평균값 이동과 영역 분리에서 생성된 확률맵을 변환 함수에 활용함으로써 영역별 밝기값을 보존 하였다. 실험은 기존의 명암 대비 방법들과 평균 밝기 차이와 평균 엔트로피 값을 이용하여 밝기 변화가 적고 영상의 세부 정보가 표현됨에 의한 명암대비 개선을 보인다.

국내 식품냉동창고 온도분포 실태 및 확률분포모델 분석 (Analysis of Temperature and Probability Distribution Model of Frozen Storage Warehouses in South Korea)

  • 박명수;김가람;박경진
    • 한국식품위생안전성학회지
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    • 제34권2호
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    • pp.199-204
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    • 2019
  • 본 연구는 국내 냉동보관창고 보관온도에 대한 조사자료를 활용하여, 온도분포를 추정하였고 이를 미생물 위해 평가(microbial risk assessment; MRA)의 입력변수로 활용할 수 있도록 적정 확률분포 모델을 제시하였다. 조사에 참여한 8곳의 냉동보관창고에서 측정된 공간상의 온도는 최저 $-25.8^{\circ}C$, 최고 $-10.3^{\circ}C$, 평균 $-20.48{\pm}3.08^{\circ}C$이었으며, $-18^{\circ}C$이상의 냉동창고 비율은 20.4%로 조사되었다. 공간별 온도분포는 자연대류를 이용하는 냉동창고의 경우 상단(2.4~4 m) $-22.57{\pm}0.84^{\circ}C$, 중단(1.5~2.4 m) $-22.49{\pm}1.05^{\circ}C$, 하단(0.7~1.5 m) $-22.68{\pm}1.03^{\circ}C$, 최고온도차이는 $1.78^{\circ}C$이었으며, 강제대류를 이용하는 냉동창고의 온도분포는 상단(2.4~4 m) $-17.81{\pm}1.47^{\circ}C$, 중단(1.5~2.4 m) $-17.94{\pm}1.44^{\circ}C$, 하단(0.7~1.5 m) $-18.08{\pm}1.42^{\circ}C$, 최고온도차이는 $0.94^{\circ}C$로 조사되었다. 보관온도는 냉동창고 모든 공간에서 온도가 일정하게 유지되는 것이 아니라 편차가 존재하는 것으로 나타났다. 이상의 수집된 온도자료는 @RISK를 이용, 적합성 검정(GOF: A-D, K-S test)을 수행하여, MRA에서 활용할 수 있는 국내 냉동보관창고 온도분포에 대한 가장 적합한 확률분포모델로 Lognormal [5.9731,3.3483, shift(-26.4281)]이 선정하였다.

Real-Time Eye Detection and Tracking Under Various Light Conditions

  • Park Ho Sik;Nam Kee Hwan;Seol Jeung Bo;Cho Hyeon Seob;Ra Sang Dong;Bae Cheol Soo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.862-866
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    • 2004
  • Non-intrusive methods based on active remote IR illumination for eye tracking is important for many applications of vision-based man-machine interaction. One problem that has plagued those methods is their sensitivity to lighting condition change. This tends to significantly limit their scope of application. In this paper, we present a new real-time eye detection and tracking methodology that works under variable and realistic lighting conditions. Based on combining the bright-pupil effect resulted from IR light and the conventional appearance-based object recognition technique, our method can robustly track eyes when the pupils are not very bright due to significant external illumination interferences. The appearance model is incorporated in both eyes detection and tracking via the use of support vector machine and the mean shift tracking. Additional improvement is achieved from modifying the image acquisition apparatus including the illuminator and the camera.

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Detection of Multiple Salient Objects by Categorizing Regional Features

  • Oh, Kang-Han;Kim, Soo-Hyung;Kim, Young-Chul;Lee, Yu-Ra
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.272-287
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    • 2016
  • Recently, various and effective contrast based salient object detection models to focus on a single target have been proposed. However, there is a lack of research on detection of multiple objects, and also it is a more challenging task than single target process. In the multiple target problem, we are confronted by new difficulties caused by distinct difference between properties of objects. The characteristic of existing models depending on the global maximum distribution of data point would become a drawback for detection of multiple objects. In this paper, by analyzing limitations of the existing methods, we have devised three main processes to detect multiple salient objects. In the first stage, regional features are extracted from over-segmented regions. In the second stage, the regional features are categorized into homogeneous cluster using the mean-shift algorithm with the kernel function having various sizes. In the final stage, we compute saliency scores of the categorized regions using only spatial features without the contrast features, and then all scores are integrated for the final salient regions. In the experimental results, the scheme achieved superior detection accuracy for the SED2 and MSRA-ASD benchmarks with both a higher precision and better recall than state-of-the-art approaches. Especially, given multiple objects having different properties, our model significantly outperforms all existing models.