• Title/Summary/Keyword: Circle detection

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Study on Distortion Ratio Calculation of Park's Vector Pattern for Diagnosis of Stator Winding Fault of Induction Motor (유도전동기의 고정자 권선고장 진단을 위한 팍스벡터 패턴의 왜곡률 연산에 대한 연구)

  • Yang, Chul-Oh;Park, Kyu-Nam;Song, Myung-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.4
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    • pp.643-649
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    • 2012
  • The diagnosis technique of stator winding faults based on Motor Current Signature Analysis(MCSA) was suggested. Park's vector pattern, the circle that is drawn by d-q transformed currents($i_d$, $i_q$), is widely used for stator winding faults detection. The current Distortion Ratio(DR), defined by the ratio of max axis and min axis of ellipse of Park's vector's pattern, was more simple and powerful method than the Park's vector pattern. In this study, a calculation method of distortion ratio of Park's vector pattern was suggested for auto diagnosis of stator winding short fault and usefulness of suggested calculation method of distortion ratio was verified through simulation using LabVIEW program.

Speed Sign Recognition Using Sequential Cascade AdaBoost Classifier with Color Features

  • Kwon, Oh-Seol
    • Journal of Multimedia Information System
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    • v.6 no.4
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    • pp.185-190
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    • 2019
  • For future autonomous cars, it is necessary to recognize various surrounding environments such as lanes, traffic lights, and vehicles. This paper presents a method of speed sign recognition from a single image in automatic driving assistance systems. The detection step with the proposed method emphasizes the color attributes in modified YUV color space because speed sign area is affected by color. The proposed method is further improved by extracting the digits from the highlighted circle region. A sequential cascade AdaBoost classifier is then used in the recognition step for real-time processing. Experimental results show the performance of the proposed algorithm is superior to that of conventional algorithms for various speed signs and real-world conditions.

Robust Features Extraction by Human-based Hybrid Silhouette (하이브리드 실루엣 기반 인간의 강인한 특징 점 추출)

  • Kim, Jong-Seon;Park, Jin-Bae;Joo, Young-Hoon
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.4
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    • pp.433-438
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    • 2009
  • In this paper, we propose the robust features extraction method of human by using the skeleton model and hybrid silhouette model. The proposed feature extraction method is divided by hands, shoulder line and elbow region extraction. We use the peer's color information to find the position of hands and propose the circle detection method to extract the shoulder line and elbow. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

Localization Algorithm without Range Information in Wireless Sensor Networks

  • Lee, Byoung-Hwa;Lee, Woo-Yong;Eom, Doo-Seop
    • Journal of IKEEE
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    • v.11 no.4
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    • pp.297-306
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    • 2007
  • A sensor network is composed of a large number of sensor nodes that are densely deployed in a field. Each sensor performs a sensing task for detection specific events. After detecting this event, location information of the sensor node is very important. Range-based scheme of the proposed approaches typically achieve high accuracy on either node-to-node distances or angles, but this scheme have a drawback because all sensor nodes have the special hardware. On the other hand, range-free scheme provides economic advantage because of no needed hardware even if that leads to coarse positioning accuracy. In this paper, we propose a range-free localization algorithm without range information in wireless sensor networks. This is a range-free approach and uses a small number of anchor nodes and known sensor nodes. This paper develops a localization mechanism using the geometry conjecture (perpendicular bisector of a chord). The conjecture states that a perpendicular bisector of a chord passes through the center of the circle.

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OPTMAL LICATION OF ACOUSTIC SENSORS AND OPTIMAL OBSERVATION POLICY FOR DETECTING ANIMALIUS PLANE OBJECY IN SHIELD CINSTRUCTION METHOD

  • Yamane, Kenji;Tanaka, Shogo
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.240-243
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    • 1995
  • In excavating tunnels, shield tunneling machines having many cutters on their cutter planes are used. Not many observation data being available in the detection system, optimal observation policy is very important. From this viewpoint, we previously considered the optimal location of acoustic sensors on the cutter plane and also the optimal observation policy for the case where three receiving transducers were used, and showed that the optimal sensor location was given as arbitrary equally-spaced points on the cutter plane circle, and that the optimal rotating angles were also found to be arbitrary. In application, however, it is often difficult to locate sensors at arbitrary positions or to use three sensors from the viewpoints of machine structure and cost. This paper considers the optimal observation policy for detecting anomlous plane objects for the case where two receiving transducers are used and the case where three receiving transducers are located only on a diameter of the cutter plane.

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An Adaptive Line Enhancer Using Lattice Notch Filters (격자형 노치 필터를 이용한 정현파 검출기)

  • 조남익;최종호;이상욱
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.4
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    • pp.719-726
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    • 1987
  • In this paper, an adaptive IIR (infinite impulse response) notch filter of lattice type is constructed and its adaptation algorithm is proposed for the detection and retrieval of a sine wave signal embedded in noise. A modified method which adapts only one coefficient of the filter is also suggested. All these methods adapt the coefficients while keepting the poles of the filter inside the unit circle on z-plane, and thus they satisfy the condition on the stability of the IIR filter after it has converged. To investigate the convergence characteristics of these methods such as convergence speed and output S/N ratio, intensive computer simulation has been performed by varying the frequency of the sine wave and the input S/N ratio. And the results of the simulation have been compared to those of Rao and Kung's which shows relatively fast convergence speed. The methods proposed here, especially the second one. shows faster convergence speed and higher output S/N ratio than the Rao and Kung's.

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Stability Evaluation of Progressive Failure Slope in Biotite Granite Area of Andong (안동 흑운모화강암 지역의 진행성 파괴사면 안정성 평가)

  • Baek, Seung-Cheol
    • Journal of the Korean Society of Safety
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    • v.15 no.2
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    • pp.103-110
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    • 2000
  • This paper deal with the stability evaluation and suggestion of progressive failure slope in biotite granite area of Andong. Based on geological site investigation and field test, stability analysis of slope was performed in conjunction with limit equilibrium methods and stereographic projection. Additionally, initial design and construction procedure was critically evaluated. Series of the slope stability analysis reveals the detection of local wedge and plane failure under the current slope condition. It is additionally appeared that a certain synthetic behavior of circle and plane failure exists on the right spot where the overall failure's going in progress. In order to construct more stable slope based on the suitability for the real state of the slope circumstances, this study issues a solution to eliminate the primary factors which cause the instability, by means of the grade of weathering and RMR classification of rock mass.

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Digital Image Processing of Radar Image (레이다아 영상의 디지털 영화처리)

  • 손진현;홍창홍;류대근;김동일;김기문
    • Journal of the Korean Institute of Navigation
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    • v.13 no.1
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    • pp.11-20
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    • 1989
  • Radar image data were collected through the on-line data acquisition system of A/D converter and personal computer, and the image was restorated on CRT or plotter after digital image processing of the data. The digital image processing system which was developed for this study, consisted of some kinds of software as follows : rearrangement, transformation, and enhancement of the image data in real space or frequency space by Fourier transform, edge detection of the image, compact processing, state inferential processing, and so on. Since the image of PPI radar sweeps from the center to the circumference of a circle, the image within a given period has the shape of fan. Therefore the acquired data were transformed to have the same interval as that of data in outmost concentricity. The results of various image processing methods using transformed data were better than those of the methods using original data.

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A Fosmid Cloning Strategy for Detecting the Widest Possible Spectrum of Microbes from the International Space Station Drinking Water System

  • Choi, Sangdun;Chang, Mi Sook;Stuecker, Tara;Chung, Christine;Newcombe, David A.;Venkateswaran, Kasthuri
    • Genomics & Informatics
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    • v.10 no.4
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    • pp.249-255
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    • 2012
  • In this study, fosmid cloning strategies were used to assess the microbial populations in water from the International Space Station (ISS) drinking water system (henceforth referred to as Prebiocide and Tank A water samples). The goals of this study were: to compare the sensitivity of the fosmid cloning strategy with that of traditional culture-based and 16S rRNA-based approaches and to detect the widest possible spectrum of microbial populations during the water purification process. Initially, microbes could not be cultivated, and conventional PCR failed to amplify 16S rDNA fragments from these low biomass samples. Therefore, randomly primed rolling-circle amplification was used to amplify any DNA that might be present in the samples, followed by size selection by using pulsed-field gel electrophoresis. The amplified high-molecular- weight DNA from both samples was cloned into fosmid vectors. Several hundred clones were randomly selected for sequencing, followed by Blastn/Blastx searches. Sequences encoding specific genes from Burkholderia, a species abundant in the soil and groundwater, were found in both samples. Bradyrhizobium and Mesorhizobium, which belong to rhizobia, a large community of nitrogen fixers often found in association with plant roots, were present in the Prebiocide samples. Ralstonia, which is prevalent in soils with a high heavy metal content, was detected in the Tank A samples. The detection of many unidentified sequences suggests the presence of potentially novel microbial fingerprints. The bacterial diversity detected in this pilot study using a fosmid vector approach was higher than that detected by conventional 16S rRNA gene sequencing.

Radius-Measuring Algorithm for Small Tubes Based on Machine Vision using Fuzzy Searching Method (퍼지탐색을 이용한 머신비전 기반의 소형 튜브 내경측정 알고리즘)

  • Naranbaatar, Erdenesuren;Lee, Sang-Jin;Kim, Hyoung-Seok;Bae, Yong-Hwan;Lee, Byung-Ryong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.11
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    • pp.1429-1436
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    • 2011
  • In this paper, a new tube-radius-measuring algorithm has been proposed for effectively measuring the radii of small tubes under severe noise conditions that can also perform well when metal scraps that make it difficult to measure the radius correctly are inside the tube hole. In the algorithm, we adopt a fuzzy searching method that searches for the center of the inner circle by using fuzzy parameters for distance and orientation from the initial search point. The proposed algorithm has been implemented and tested on both synthetic and real-world tube images, and the performance is compared to existing circle-detection algorithms, such as the Hough transform and RANSAC methods, to prove the accuracy and effectiveness of the algorithm. From this comparison, it is concluded that the proposed algorithm has excellent performance in terms of measurement accuracy and computation time.