• Title/Summary/Keyword: Contour Features

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Wide-Field Near-IR Photometric Study for Spatial Distribution of Stars around Globular Clusters in the Galactic Bulge

  • Chang, Cho-Rhong;Chun, Sang-Hyun;Han, Mi-Hwa;Jung, Mi-Young;Lim, Dong-Wook;Sohn, Young-Jong
    • 한국우주과학회:학술대회논문집(한국우주과학회보)
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    • 한국우주과학회 2009년도 한국우주과학회보 제18권2호
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    • pp.29.4-30
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    • 2009
  • Extra-tidal feature of the globular clusters such as tidal tails and halos can be a crucial evidence of the merging scenario of the Galaxy formation in the dynamical point of view. To search for such an extra-tidal feature of globular clusters located in the Galactic bulge(RGC<3kpc), we obtained wide-field near-infrared JHKs images of 6 metal-poor ([Fe/H]<-1.0) clusters and 3 metal-rich ([Fe/H]>-1.0) clusters. Observations were carried out using IRSF 1.4m telescope and SIRIUS near-infrared camera, during 2006~2007. The obtained images have a total maximum field-of-view of ~ $21'\times 21'$. To select clusters' member stars and minimize the field star contaminations, we applied CMD masking algorithm. Smoothed surface density contour maps with selected stars for each cluster show overdensity features around the tidal radius and beyond. Also, radial surface density profiles within the tidal radius of the clusters show an overdensity feature as a change of slope of the radial profile. The results add further observational constraints of the formation of the Galactic bulge.

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액체로켓 추력실의 성능 예측 및 최적 형상 설계를 위한 해석코드 개발 (Development of Chemical Equilibrium CFD Code for Performance Prediction and Optimum Design of LRE Thrust Chamber)

  • 김성구;문윤완;박태선
    • 한국추진공학회지
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    • 제9권1호
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    • pp.1-8
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    • 2005
  • 설계단계에서 수행되는 액체로켓엔진의 추력실 형상설계와 성능예측을 위하여 화학평형을 고려한 축대칭 압축성 해석코드를 개발하였다. 사용자의 편리함과 효율성에 중점을 두었으며, 형상파라미터의 입력값에 따라 자동으로 격자를 생성하고 연소실 조건은 추진제 조합, 연소압 그리고 혼합비를 지정함으로서 내부에서 계산하게 된다. 따라서 설계자는 추력실 형상 및 작동조건을 변화시켜 각각의 설계변수가 추력성능에 미치는 영향을 빠르고 손쉽게 파악할 수 있도록 하였다. CEA의 결과, JPL 노즐의 실험결과, 두 종류의 LRE 실제 엔진 자료, 그리고 KSR-III의 설계점 및 탈설계점 연소시험결과와 비교함으로서, 다양한 측면에서 해석코드의 정확도와 적용성을 평가하였다.

감쇠탱크 설계를 위한 체류시간 계산 방법에 관한 연구 (A Study of Residence Time Calculation Methods in Decay Tank Design)

  • 정민규;서경우;김성훈
    • 설비공학논문집
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    • 제29권5호
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    • pp.220-230
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    • 2017
  • In this study we apply and compare a variety of numerical methods for calculating residence time distribution in decay tanks, a major design component in the for reducing N-16 radioactivity. Our research group has used a streamlined method using user-defined particle numbers. However, this streamlined method has several problems, including low exiting particle ratios, particle diminishing, and unphysical time distribution, among others. We utilize three numerical methods to establish residence time and time distribution (streamlined, discrete phase method [DPM], and user defined scalar [UDS]) and subsequently compare the averaged results of each. The three tests demonstrate the flow features within the decay tanks, which are then numerically simulated to enable comparison. We conclude that although each simulation predicts similar time averages, the UDS methodology provides a smoother time distribution and tracer contour plots at specific times.

컴퓨터 시각장치를 이용한 자동 캡슐 검사장치 (Automate Capsule Inspection System using Computer Vision)

  • 강현철;이병래;김용규
    • 전자공학회논문지B
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    • 제32B권11호
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    • pp.1445-1454
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    • 1995
  • In this study, we have developed a prototype of the automatic defects detection system for capsule inspection using the computer vision techniques. The subjects for inspection are empty hard capsules of various sizes which are made of gelatine. To inspect both sides of a capsule, 2-stage recognition is performed. Features we have used are various lengths of a capsule, area, linearity, symmetricity, head curvature and so on. Decision making is performed based on average value which is computed from 20 good capsules in training and permission bounds in factories. Most of time-consuming process for feature extraction is computed by hardware to meet the inspection speed of more than 20 capsules/sec. The main logic for control and arithmetic computation is implemented using EPLD for the sake of easy change of design and reduction in time for developement. As a result of experiment, defects on size or contour of binary images are detected over 95%. Because of dead zone in imaging system, detection ratio of defects on surface, such as bad joint, chip, speck, etc, is lower than the former case. In this case, detection ratio is 50-85%. Defects such as collet pinch and mashed cap/body seldom appear in binary image, and detection ratio is very low. So we have to process the gray-level image directly in partial region.

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억양이 과장된 원어민 발화를 통한 영어 억양 교육과 평가 (Evaluation of Teaching English Intonation through Native Utterances with Exaggerated Intonation)

  • 윤규철
    • 말소리와 음성과학
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    • 제3권1호
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    • pp.35-43
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    • 2011
  • The purpose of this paper is to evaluate the viability of employing the intonation exaggeration technique proposed in [4] in teaching English prosody to university students. Fifty-six female university students, twenty-two in a control group and the other thirty-four in an experimental group, participated in a teaching experiment as part of their regular coursework for a five-and-a-half week period. For the study material of the experimental group, a set of utterances was synthesized whose intonation contours had been exaggerated whereas the control group was given the same set without any intonation modification. Recordings from both before and after the teaching experiment were made and one sentence set was chosen for analysis. The parameters analyzed were the pitch range, words containing the highest and lowest pitch points, and the 3-dimensional comparison of the three prosodic features [2]. An AXB and subjective rating test were also performed along with a qualitative screening of the individual intonation contours. The results showed that the experimental group performed slightly better in that their intonation contour was more similar to that of the model native speaker's utterance. This appears to suggest that the intonation exaggeration technique can be employed in teaching English prosody to students.

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미국인 남성과 여성이 발음한 영어이중모음의 음향적 연구 (An Acoustical Study of English Diphthongs Produced by American Males and Females)

  • 양병곤
    • 말소리와 음성과학
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    • 제2권2호
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    • pp.43-50
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    • 2010
  • English vowels can be divided into monophthongs and diphthongs depending on the number of vocal tract shapes. Diphthongs are usually produced with more than one shape. This study attempts to collect acoustical data of English diphthongs published by Hillenbrand et al.(1995) online and to examine acoustic features of the diphthongs for phoneticians and English teachers. Sixty three American males and females were chosen after excluding those subjects with different target vowels or ambiguous formant tracks. The author used Praat to obtain the acoustical data systematically at eleven equidistant timepoints over the diphthongal segment. Obvious errors were corrected based on the spectrographic display of each diphthong. Results show that the formant trajectories of the diphthongs produced by the American males and females appeared quite similar. When the female formant values were uniformly normalized to those of the males, almost a perfect collapse occurred. Secondly, the diphthongal movements on the vowel space appeared not linear due to the coarticulatory gesture for the following consonant. Thirdly, the average duration of the diphthongs produced by the females was 1.156 times longer than that of the males while the pitch ratio between the two groups turned out to be 1.746 with a similar contour over measurement points. The author concludes that English diphthongs produced by various groups can be compared systematically when the acoustical values are obtained at proportional timepoints. Further studies will be desirable on the comparison of English diphthongs produced by native and nonnative speakers.

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지하레이다를 이용한 고고학 탐사 (Application of Ground Penetrating Radar for Archaeological Monuments)

  • 손호웅
    • 자원환경지질
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    • 제29권6호
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    • pp.745-752
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    • 1996
  • 일본 이시카와현 나카지마시의 고분에서 500 MHz 안테나를 사용하여 지하레이다를 이용한 고고학 탐사를 실시하였다. 이 연구의 주목적은 지하레이다를 활용하여 고분내 매장물에 손상을 주지 않고 탐사하는데 있었다. 탐사지역을 격자상태로 탐사하였으며, 교차점의 수신레이다파 자료를 2.4 nanosecond 간격으로 나누고 구간내의 대표 값으로 분산치를 취하여 횡단면 등고선도를 만들었다. 자료처리 결과 레이다탐사로 깊이에 따른 고분의 중요 특징들을 발견할 수 있었으며, 고분내 관의 방향은 수평면하 9.6 nanosecond 아래에서 잘 보여지고 있다. 레이다 탐사자료는 전기비저항 탐사결과와 비교 분석되었으며, 고분내 관의 위치, 방향 및 건축양식에 대한 정보를 주고 있다.

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Experimental Study on Satellite Image Restoration for Vanished Area by Dam Construction

  • Yeon, Sang-Ho;Hong, Il-Hwa
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1424-1426
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    • 2003
  • It will be a real good news for the people who were lost their hometown by the construction of a large dam to be restored to the former state. Focused on Cheung-Pyung around where most part were flooded by the Chungju large Dam founded in early 1980s, we used Remote Sensing Technique in this study in order to restore topographical features before the flood with 3 dimensional effects. We gathered comparatively good satellite photos and remotely sensed digital images, then we made a new color image from these and the topographical map which had been made before the flood. This task was putting together two kinds of different timed images. And then, we generated DEM including the outskirts of that area as harmonizing current contour lines with the map. That could be a perfect 3D image of Cheung-Pyung around before when it had been flood by making perspective images from all directions, north, south, east and west, for showing there in three dimensions. Also, flying simulation we made for close visiting can bring us to experience their real space at that time.

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Pruning and Matching Scheme for Rotation Invariant Leaf Image Retrieval

  • Tak, Yoon-Sik;Hwang, Een-Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제2권6호
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    • pp.280-298
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    • 2008
  • For efficient content-based image retrieval, diverse visual features such as color, texture, and shape have been widely used. In the case of leaf images, further improvement can be achieved based on the following observations. Most plants have unique shape of leaves that consist of one or more blades. Hence, blade-based matching can be more efficient than whole shape-based matching since the number and shape of blades are very effective to filtering out dissimilar leaves. Guaranteeing rotational invariance is critical for matching accuracy. In this paper, we propose a new shape representation, indexing and matching scheme for leaf image retrieval. For leaf shape representation, we generated a distance curve that is a sequence of distances between the leaf’s center and all the contour points. For matching, we developed a blade-based matching algorithm called rotation invariant - partial dynamic time warping (RI-PDTW). To speed up the matching, we suggest two additional techniques: i) priority queue-based pruning of unnecessary blade sequences for rotational invariance, and ii) lower bound-based pruning of unnecessary partial dynamic time warping (PDTW) calculations. We implemented a prototype system on the GEMINI framework [1][2]. Using experimental results, we showed that our scheme achieves excellent performance compared to competitive schemes.

EXTRACTION OF THE LEAN TISSUE BOUNDARY OF A BEEF CARCASS

  • Lee, C. H.;H. Hwang
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.III
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    • pp.715-721
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    • 2000
  • In this research, rule and neuro net based boundary extraction algorithm was developed. Extracting boundary of the interest, lean tissue, is essential for the quality evaluation of the beef based on color machine vision. Major quality features of the beef are size, marveling state of the lean tissue, color of the fat, and thickness of back fat. To evaluate the beef quality, extracting of loin parts from the sectional image of beef rib is crucial and the first step. Since its boundary is not clear and very difficult to trace, neural network model was developed to isolate loin parts from the entire image input. At the stage of training network, normalized color image data was used. Model reference of boundary was determined by binary feature extraction algorithm using R(red) channel. And 100 sub-images(selected from maximum extended boundary rectangle 11${\times}$11 masks) were used as training data set. Each mask has information on the curvature of boundary. The basic rule in boundary extraction is the adaptation of the known curvature of the boundary. The structured model reference and neural net based boundary extraction algorithm was developed and implemented to the beef image and results were analyzed.

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