• Title/Summary/Keyword: 평균속도벡터

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Development of Surface Image Velocimetry with Space-Time Image Analysis (시공간 영상 분석을 이용한 영상 유속계의 개발)

  • Yu, Kwon-Kyu;Kim, Nam-Kil;Yoon, Byung-Man
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.483-487
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    • 2010
  • 하천에서 물이 비교적 빠른 속도로 흘러가면 압력 변동, 하상의 조도, 하천내 구조물 등의 영향에 의해 수면이 끊임없이 변형을 일으키며 수면에 작은 물결(수면 파문)이 생긴다. 이러한 수면 파문은 유수에 의해 유수의 평균 유속으로 이류되며, 이 때문에 인간이 유수의 흐름을 시각적으로 인식할 수 있다. 이러한 표면 파문은 적절한 영상 분석을 하면 표면 유속 측정의 추적자로 이용할 수 있다. 본 연구는 유수 표면을 연속된 영상을 촬영하고, 일련의 영상을 시공간 영상(space-time image)으로 만든 뒤, 휘도 경사법(graylevel gradient method)으로 유속 벡터를 추출하는 새로운 방법을 제시하였다. 이 분석 과정은 기존의 입자 영상 유속계(PIV, Particle Image Velocimetry) 기법을 이용하는 방법보다 훨씬 간단하고 분석 시간도 크게 절약할 수 있다. 또한, 수면 파문의 전파에 따른 중력파의 영향을 시공간 영상의 처리 과정에서 잡음으로 간주하여 처리할 수 있다는 장점을 가지고 있다. 개발된 루틴을 표면 영상 유속계(SIV, Surface Image Velocimtery)에 구현하여 새로운 영상 유속계를 개발하였다. 시공간 영상 분속을 이용하는 새로운 영상 유속계를 실험실 수로의 영상 자료에 적용하여 그 정확도, 적용성, 장단점 등을 분석하였다. 제안된 방법에 의한 평균류 산정 결과는 물리적으로 타당하며, 저속 또는 저휘도에서의 분석 성능이 뛰어난 것으로 밝혀졌다. 다만, 이방향 흐름의 분석에서는 문제가 있는 것이 밝혀졌다.

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Rainfall Prediction of Seoul Area by the State-Vector Model (상태벡터 모형에 의한 서울지역의 강우예측)

  • Chu, Chul
    • Water for future
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    • v.28 no.5
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    • pp.219-233
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    • 1995
  • A non-stationary multivariate model is selected in which the mean and variance of rainfall are not temporally or spatially constant. And the rainfall prediction system is constructed which uses the recursive estimation algorithm, Kalman filter, to estimate system states and parameters of rainfall model simulataneously. The on-line, real-time, multivariate short-term, rainfall prediction for multi-stations and lead-times is carried out through the estimation of non-stationary mean and variance by the storm counter method, the normalized residual covariance and rainfall speed. The results of rainfall prediction system model agree with those generated by non-stationary multivariate model. The longer the lead time is, the larger the root mean square error becomes and the further the model efficiency decreases form 1. Thus, the accuracy of the rainfall prediction decreases as the lead time gets longer. Also it shows that the mean obtained by storm counter method constitutes the most significant part of the rainfall structure.

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The Visualization of the Flowfield around Three Circular Cylinders in the Tandem Arrangement by the PIV (PIV에 의한 직렬배열 상태에 놓인 3원주 주위의 유동장 가시화)

  • Ro, Ki-Deok;Jang, Dong-Hyu;Bae, Hung-Sub;Kim, Won-Cheol
    • Journal of Advanced Marine Engineering and Technology
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    • v.35 no.2
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    • pp.264-270
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    • 2011
  • The Characteristics of the flowfield around three circular cylinders in tandem arrangement was investigated by PIV. Strouhal numbers, vorticity, velocity vectors and velocity profiles were observed at centre-to-centre space ratios of P/D=1.25~3.75, and Reynolds number of Re=$3.0{\times}10^3{\sim}5.0{\times}10^3$. As the results the Strouhal numbers measured in the rear region of 3rd the cylinder were distinguished three kind of regions with the space ratios and The flow pattern in the wake of each cylinder was different according to these regions. The time averaged flow at region of each cylinder was almost stagnated and the size of the stagnated region was small in order of 1st, 2nd and 3rd cylinder. The direction of vortex at the front and rear region of 2nd cylinder was opposed each other with the small difference(${\alpha}= {\pm}5^{\circ}$) of the attack angle ${\alpha}$.

Study on the Measurements of Flow Field around Cambered Otter Board Using Particle Image Velocimetry (PIV를 이용한 만곡형 전개판의 유동장 계측에 관한 연구)

  • 박경현;이주희;현범수;노영학;배재현
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.38 no.1
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    • pp.43-57
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    • 2002
  • This paper introduces an analysis method to predicting the flow characteristic of flow field around otter board In order to develope a high performance model. In this experiment, it is used a numerical analysis of flow field through CFD(Computational Fluid Dynamic), PIV method in which quantitative, qualitative evaluation is possible. In this experiment, it is used PIV method with flow filed image around otter board in order to analysis of flow characteristic. The result compared flow pattern with analysis result through CFD and also measurement result of lift and drag force coefficient carried out in CWC(Circulating Water Channel). The numerical analysis result is matched well with experiment result of PIV in the research and it is able to verify In the physical aspect. The result is as follows ; (1) It was carried out visibility experiment using laser light sheet, and picture analysis through PIV method in order to analysis fluid field of otter-board. As a result, the tendency of qualitative fluid movement only through the fluid particle's flow could be known. (2) Since PIV analysis result is quantitative, this can be seen in velocity vector distributions, instantaneous streamline contour, and average vorticity distributions through various post processing method. As a result, the change of flow field could be confirmed. (3) At angle of attack 24$^{\circ}$ where It Is shown maximum spreading force coefficient, the analysis result of CFD and PIV had very similar flow pattern. In both case, at the otter-board post edge a little boundary layer separation was seen, but, generally they had a good flow (4) As the result of post processing with velocity vector distributions, instantaneous streamline contour and average vorticity distributions by PIV, boundary layer separation phenomenon started to happen from angle of attack 24$^{\circ}$, and from over angle of attack 28$^{\circ}$, it happen at leading edge side with the width enlarged.

A Diagnosis Method of Basal Cell Carcinoma by Raman Spectra of Skin Tissue using NMF Algorithm (피부 조직의 라만 스펙트럼에서 NMF 알고리즘을 통한 기저 세포암 진단 방법)

  • Park, Aaron;Baek, Sung-June
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.8
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    • pp.196-202
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    • 2013
  • Basal cell carcinoma (BCC) is the most common skin cancer and its incidence is increasing rapidly. In this paper, we propose a diagnosis method of basal cell carcinoma by Raman spectra of skin tissue using the NMF(non-negative matrix factorization) algorithm. After preprocessing steps, measured Raman spectra is used classification experiments. The weight and the basis can be obtained in a simple matrix operation and a column vector of the matrix decompsed by the NMF. Linear combination of bases and weights, it is possible to approximate the average of Raman spectra. The classification method is to select the class which to minimize the root mean square of the difference of the linear combination and the objective spectrum. According to the experimental results, the proposed method shows the promising results to diagnosis BCC. In addition, it confirmed that the proposed method compared with the previous research result could be effectively applied in the analysis of the Raman spectra.

Estimation of Mean Surface Current and Current Variability in the East Sea using Surface Drifter Data from 1991 to 2017 (1991년부터 2017년까지 표층 뜰개 자료를 이용하여 계산한 동해의 평균 표층 해류와 해류 변동성)

  • PARK, JU-EUN;KIM, SOO-YUN;CHOI, BYOUNG-JU;BYUN, DO-SEONG
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.24 no.2
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    • pp.208-225
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    • 2019
  • To understand the mean surface circulation and surface currents in the East Sea, trajectories of surface drifters passed through the East Sea from 1991 to 2017 were analyzed. By analyzing the surface drifter trajectory data, the main paths of surface ocean currents were grouped and the variation in each main current path was investigated. The East Korea Warm Current (EKWC) heading northward separates from the coast at $36{\sim}38^{\circ}N$ and flows to the northeast until $131^{\circ}E$. In the middle (from $131^{\circ}E$ to $137^{\circ}E$) of the East Sea, the average latitude of the currents flowing eastward ranges from 36 to $40^{\circ}N$ and the currents meander with large amplitude. When the average latitude of the surface drifter paths was in the north (south) of $37.5^{\circ}N$, the meandering amplitude was about 50 (100) km. The most frequent route of surface drifters in the middle of the East Sea was the path along $37.5-38.5^{\circ}N$. The surface drifters, which were deployed off the coast of Vladivostok in the north of the East Sea, moved to the southwest along the coast and were separated from the coast to flow southeastward along the cyclonic circulation around the Japan Basin. And, then, the drifters moved to the east along $39-40^{\circ}N$. The mean surface current vector and mean speed were calculated in each lattice with $0.25^{\circ}$ grid spacing using the velocity data of surface drifters which passed through each lattice. The current variance ellipses were calculated with $0.5^{\circ}$ grid spacing. Because the path of the EKWC changes every year in the western part of the Ulleung Basin and the current paths in the Yamato Basin keep changing with many eddies, the current variance ellipses are relatively large in these region. We present a schematic map of the East Sea surface current based on the surface drifter data. The significance of this study is that the surface ocean circulation of the East Sea, which has been mainly studied by numerical model simulations and the sea surface height data obtained from satellite altimeters, was analyzed based on in-situ Lagrangian observational current data.

Face Recognition Using Fisherface Algorithm and Fixed Graph Matching (Fisherface 알고리즘과 Fixed Graph Matching을 이용한 얼굴 인식)

  • Lee, Hyeong-Ji;Jeong, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.6
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    • pp.608-616
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    • 2001
  • This paper proposes a face recognition technique that effectively combines fixed graph matching (FGM) and Fisherface algorithm. EGM as one of dynamic link architecture uses not only face-shape but also the gray information of image, and Fisherface algorithm as a class specific method is robust about variations such as lighting direction and facial expression. In the proposed face recognition adopting the above two methods, linear projection per node of an image graph reduces dimensionality of labeled graph vector and provides a feature space to be used effectively for the classification. In comparison with a conventional EGM, the proposed approach could obtain satisfactory results in the perspectives of recognition speeds. Especially, we could get higher average recognition rate of 90.1% than the conventional methods by hold-out method for the experiments with the Yale Face Databases and Olivetti Research Laboratory (ORL) Databases.

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Two-phase Content-based Image Retrieval Using the Clustering of Feature Vector (특징벡터의 끌러스터링 기법을 통한 2단계 내용기반 이미지검색 시스템)

  • 조정원;최병욱
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.3
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    • pp.171-180
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    • 2003
  • A content-based image retrieval(CBIR) system builds the image database using low-level features such as color, shape and texture and provides similar images that user wants to retrieve when the retrieval request occurs. What the user is interest in is a response time in consideration of the building time to build the index database and the response time to obtain the retrieval results from the query image. In a content-based image retrieval system, the similarity computing time comparing a query with images in database takes the most time in whole response time. In this paper, we propose the two-phase search method with the clustering technique of feature vector in order to minimize the similarity computing time. Experimental results show that this two-phase search method is 2-times faster than the conventional full-search method using original features of ail images in image database, while maintaining the same retrieval relevance as the conventional full-search method. And the proposed method is more effective as the number of images increases.

Support Vector Data Description using Mean Shift Clustering (평균 이동 알고리즘 기반의 지지 벡터 영역 표현 방법)

  • Chang, Hyung-Jin;Kim, Pyo-Jae;Choi, Jung-Hwan;Choi, Jin-Young
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.307-309
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    • 2007
  • SVDD의 scale prob1em을 해결하기 위하여, 학습 데이터를 sub-groupings하여 group 단위로 SVDD를 통해 학습함으로써 학습 시간을 줄이는, K-means clustering을 이용한 SVDD 방범(KMSVDD)이 제안되었다. 하지만 KMSVDD는 K-means clustering 알고리즘의 본질상 최적의 K값을 정하기 힘들다는 문제와, 동일한 데이터를 학습할지라도 clustered group이 램덤하게 형성되기 때문에 매번 학습의 결과가 달라지는 문제점이 있었다. 또한 데이터의 분포 상태와 관계없이 무조건 타원(dlliptic) 형태의 K개의 cluster로 나누기 때문에 각각의 나눠진 cluster들은 데이터 분포에 대한 특징을 나타내기 힘들게 된다. 이러한 문제점을 해결하기 위하여 본 논문에서는 데이터 분포에서 mode를 먼저 찾은 후 이 mode를 기준으로 clustering하는 Mean Shift clustering 방법을 이용한 SVDD를 제안하고자 한다. 제안된 알고리즘은 KMSVDD와 비교해 데이터 학습 속도에서는 큰 차이가 없으면서도 데이터의 분포 상태를 고려한 형태로 clustering 한 sub-group을 학습하므로 학습의 정확도가 일정하게 되며, 각각의 cluster는 데이터 분표의 특징을 포함하는 효과가 있다. 또한 Mean Shift Kernel의 bandwidth의 결정은 K-Means의 K와는 달리 어느 정도 여유를 갖고 결정되어도 학습 결과에는 차이가 없다. 다양한 데이터들을 이용한 모의실험을 통하여 위의 내용들을 검증하도록 한다.

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Effects of Slits and Swirl Vanes on the Main Flow Fields of a Gun-Type Gas Swirl Burner (슬릿과 스월베인이 Gun식 가스버너의 주 유동장에 미치는 영향)

  • Kim, J.K.;Jeong, K.J.
    • Journal of Power System Engineering
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    • v.6 no.4
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    • pp.23-29
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    • 2002
  • This paper is studied to investigate the effect of slits and swirl vanes on the main flow fields of a gun-type gas burner through X-Y plane and Y-Z plane respectively by using X-probe from hot-wire anemometer system. This experiment was carried out with flow rate $450{\ell}/min$ in respective burner models installed in the test section of a subsonic wind tunnel. The burner models with only slits and only swirl vanes respectively were made by modifying original gun-type gas burner. The fast jet flow spurted from slits played a role such as an air-curtain because it encircled rotational flow by swirl vanes and drives mixed main flow to axial direction. As a result, the gun-type gas burner had a wider flow range up to about Y/R=1.5 deviated from slits and maintains a comparatively large velocity in the central part of burner within the range of about X/R=2.5. Therefore, it was very desirable that swirl vanes were installed within slits in gun-type gas burner in order to control the main flow fields effectively.

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