• Title/Summary/Keyword: Motion estimation.

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A Study on Feasibility of Surface Wave Application for the Assessment of Physical Properties of Dam (표면파 적용 댐체 물성 조사 타당성 연구)

  • Kim, Hyoung-Soo;Min, Dong-Ju;Kim, Jung-Yul;Ha, Ik-Soo;Oh, Suk-Hoon
    • Proceedings of the Korean Geotechical Society Conference
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    • 2005.03a
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    • pp.384-391
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    • 2005
  • Three dimensional finite difference elastic wave model was developed to estimate the feasibility of surface wave applications in geotechnical problems. The wave motions calculated by the developed program in this study shows good agreement with well known analytic solutions. The surface wave motions calculated from layered dam type structure can be interpreted as a infinite layer structure using dispersion curve but it is need a special source of which high energy in frequency band lower than 10 Hz to get information of physical properties in few tens meter deep. The source which has high energy in the low frequency band, however, can give defect on dam and this will make some limitation in real field applications. The dispersion curves calculated from the surface wave motion of homogeneous and center core type dam models will give rise to fatal errors if the conventional infinite layer structure used in their interpretation because the surrounding materials and boundaries of dam make some distortion in dispersion curve of surface wave. So it is strongly recommended to use three dimensional inversion model for correct interpretation and estimation of physical properties of dam materials.

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Computer Analysis of Kinematic Parameters of the Intact Heart Using X-ray Image Sequence (X-ray 영상을 이용한 심장운동해석에 관한 연구)

  • Min, Byeong-Gu;Kim, Seong-Wan;Kim, Hui-Chan
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.4
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    • pp.101-112
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    • 1985
  • It is important to extract the mechanical informations from the image sequences of the moving object. We have studied the computer algorithms for analysis of the moving heart using X-ray image sequence. A new mathematical method was developed to estimate the local epicardial deformation, wall thickness, and the regional circumferential and longitudinal wall stress using biplane coronary cineangiograms. In this method, the motion images of the coronary artery bifurca-tion points were used as natural landmarks for the kinematic analysis of the ventricular deformation. In four dogs and a normal patient's coronary cineangiograms, the estimation results show the validity of the present analysis, compared with the experimental results based upon the implanted markers. Thus, the present method provides a new method of evaluating the regional wall deformation and wall stress together with the blood vessel conditions using the coronary cineangiography procedure.

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Estimation of User Activity States for Context-Aware Computing in Mobile Devices (모바일 디바이스에서 상황인식 컴퓨팅을 위한 사용자 활동 상태 추정)

  • Baek Jonghun;Yun Byoung-Ju
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.1 s.307
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    • pp.67-74
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    • 2006
  • Contort-aware computing technology is one of the key technology of ubiquitous computing in the mobile device environment. Context recognition computing enables computer applications that automatically respond to user's everyday activity to be realized. In this paper, We use accelerometer could sense activity states of the object and apply to mobile devices. This method for estimating human motion states utilizes various statistics of accelerometer data, such as mean, standard variation, and skewness, as features for classification, and is expected to be more effective than other existing methods that rely on only a few simple statistics. Classification algorithm uses simple decision tree instead of existing neural network by considering mobile devices with limited resources. A series of experiments for testing the effectiveness of the our context detection system for mobile applications and ubiquitous computing has been performed, and its result is presented.

Model Based Investigation of Surface Area Effect on the Voltage Generation Characteristics of Ionic Polymer Metal Composite Film (모델 기반의 이온 전도성 고분자 필름 금속 복합체의 표면적 증가에 따른 전압생성 특성 변화에 관한 연구)

  • Park, Kiwon;Kim, Dong Hyun
    • Composites Research
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    • v.29 no.6
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    • pp.401-407
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    • 2016
  • IPMC is composed of thin ion conductive polymer film sandwiched between metallic electrodes plated on both surfaces. Ionic Polymer-Metal Composite (IPMC) generates voltages when bent by mechanical stimuli. IPMC has a potential for the variety of energy harvesting applications due to its soft and hydrophilic characteristics. However, the large-scale implementation is necessary to increase the output power. In this paper, the scale-up of surface area effect on voltage generation characteristics of IPMC was investigated using IPMC samples with different surface areas. Also, a circuit model simulating both the output voltage and its offset variations was designed for estimating the voltages from IPMC samples. The proposed model simulated the output voltages with offsets well corresponding to various frequencies of input bending motion. However, some samples showed that the increase of error between real and simulated voltages with time due to the nonlinear characteristic of offset variations.

Real-Time Implementation of Medical Ultrasound Strain Imaging System (의료용 초음파 스트레인 영상 시스템의 실시간 구현)

  • Jeong, Mok-Kun;Kwon, Sung-Jae;Bae, Moo-Ho
    • Journal of the Korean Society for Nondestructive Testing
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    • v.28 no.2
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    • pp.101-111
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    • 2008
  • Strain imaging in a medical ultrasound imaging system can differentiate the cancer or tumor in a lesion that is stiffer than the surrounding tissue. In this paper, a strain imaging technique using quasistatic compression is implemented that estimates the displacement between pre- and postcompression ultrasound echoes and obtains strain by differentiating it in the spatial direction. Displacements are computed from the phase difference of complex baseband signals obtained using their autocorrelation, and errors associated with converting the phase difference into time or distance are compensated for by taking into the center frequency variation. Also, to reduce the effect of operator's hand motion, the displacements of all scanlines are normalized with the result that satisfactory strain image quality has been obtained. These techniques have been incorporated into implementing a medical ultrasound strain imaging system that operates in real time.

Estimation about Local Strength using FE-Analysis for Steel Yacht (유한요소해석을 이용한 강선요트의 국부강도 평가)

  • Park Joo-Shin;Ko Jae-Yong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.11 no.2 s.23
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    • pp.77-82
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    • 2005
  • Previously sailing yachts or leisure yachts were mainly made from FRP(Fiber glass reinforced plastic) in the small shipbuilding, but recently there is a trend to replace it for steel or aluminum to substitute FRP for environmental friendly materials. Although It have to need a many checked item in case of hull girder strength and transverse strength normally evaluate base on calculation of class guideline so called direct calculation method. Otherwise. this method of initial structural design considered enough for safety margin on the structure. But, case of small craft must consider for evaluating local strength through rational method. In this paper, check the bow structure members for satisfying results base on allowable stress criterion of damaged bow structure by dynamic load due to slamming and bottom impact load due to pitching motion through finite element analysis. and investigate engine bed structure considering engine weight load and transverse wave load.

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The Estimation of Parameters to minimize the Energy Function of the Piecewise Constant Model Using Three-way Analysis of Variance (3원 변량분석을 이용한 구분적으로 일정한 모델의 에너지 함수 최소화를 위한 매개변수들 추정)

  • Joo, Ki-See;Cho, Deog-Sang;Seo, Jae-Hyung
    • Journal of Advanced Navigation Technology
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    • v.16 no.5
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    • pp.846-852
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    • 2012
  • The result of imaging segmentation becomes different with the parameters involved in the segmentation algorithms; therefore, the parameters for the optimal segmentation have been found through a try and error. In this paper, we propose the method to find the best values of parameters involved in the area-based active contour method using three-way ANOVA. The segmentation result applied by three-way ANOVA is compared with the optimal segmentation which is drawn by user. We use the global consistency rate for comparing two segmentations. Finally, we estimate the main effects and interactions between each parameter using three-way ANOVA, and then calculate the point and interval estimate to find the best values of three parameters. The proposed method will be a great help to find the optimal parameters before working the motion segmentation using piecewise constant model.

Fast Intra Mode Selection Algorithm Based on Edge Activity in Transform Domain for H.264/AVC Video (변환영역에서의 에지활동도에 기반한 H.264/AVC 고속 인트라모드 선택 방법)

  • Seo, Jae-Sung;Kim, Dong-Hyung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.8C
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    • pp.790-800
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    • 2009
  • For the improvement of coding efficiency, the H.264/AYC standard uses new coding tools such as 1/4-pel-accurate motion estimation, multiple references, intra prediction, loop filter, variable block size etc. Using these coding tools, H.264/AYC has achieved significant improvements from rate-distortion point of view compared to existing standards. However, the encoder complexity was greatly increased due to these coding tools. We focus on the complexity reduction method of intra macroblock mode selection. The proposed algorithm for fast intra mode selection calculates the edge activity in transform domain, and performs fast encoding of intra frame in H.264/AYC through the fast prediction mode selection of intra4x4 and chrominance blocks. Simulation results show that the proposed method saves about 59.76% for QCIF sequences and 65.03% for CIF sequences of total encoding time, while bitrate increase and PSNR decrease are very small.

Adaptive Frame Rate Up-Conversion Algorithm using the Neighbouring Pixel Information and Bilateral Motion Estimation (이웃하는 블록 정보와 양방향 움직임 예측을 이용한 적응적 프레임 보간 기법)

  • Oh, Hyeong-Chul;Lee, Joo-Hyun;Min, Chang-Ki;Jeong, Je-Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.9C
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    • pp.761-770
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    • 2010
  • In this paper, we propose a new Frame Rate Up-Conversion (FRUC) scheme to increase the frame rate from a lower number into a higher one and enhance the decoded video quality at the decoder. The proposed algorithm utilizes the preliminary frames of forward and backward direction using bilateral prediction. In the process of the preliminary frames, an additional interpolation is performed for the occlusion area because if the calculated value of the block with reference frame if larger than the predetermine thresholdn the block is selected as the occlusion area. In order to interpolate the occlusion area, we perform re-search to obtain the osiomal block considerhe osiomnumber of available ne block consblock. The experimental results show that performance of the proposed algorithm has better PSNR and visual quality than the conventional methods.

Optimal Facial Emotion Feature Analysis Method based on ASM-LK Optical Flow (ASM-LK Optical Flow 기반 최적 얼굴정서 특징분석 기법)

  • Ko, Kwang-Eun;Park, Seung-Min;Park, Jun-Heong;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.512-517
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    • 2011
  • In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.