• 제목/요약/키워드: radial transform

검색결과 87건 처리시간 0.031초

잡음에 강건한 주목 연산자를 이용한 효과적인 BLU 얼룩 검사 (An Efficient BLU Inspection Using Noise-Tolerant Context-free Attention Operator)

  • 박창준;최흥문
    • 대한전자공학회논문지SP
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    • 제38권6호
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    • pp.640-647
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    • 2001
  • 본 논문에서는 BLU(back light unit) 검사에 적합하도록 잡음에 강건한 일반화 대칭 변환을 주목 연산자로 제안하여 적용함으로써 형태와 크기 및 명도가 다양한 BLU 얼룩들을 효과적으로 검출하였다. 제안한 주목 연산자는 두 화소 명도변화의 크기와 대칭성뿐만 아니라 그 방사(radial)방향의 수렴 및 발산 극성도 반영시켜 잡음이나 불규칙한 배경영상의 양극성 대칭도 누적을 상쇄시킴으로써 명도분포가 일정치 않고 복잡한 무늬의 배경을 갖는 BLU 특유의 검사영상으로부터 얼룩만을 효과적으로 검출할 수 있도록 하였다. CCD 카메라로 입력된 고해상도의 BLU 검사영상에 대해 실험하여 BLU 얼룩 검사에 효과적으로 활용할 수 있음을 확인하였다.

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축소확대 노즐에 의한 2유체 미립화의 유동가시화 및 분무특성 (Flow visualization and spray characteristics of twin-fluid atomization with converging-diverging nozzles)

  • 박병규;이준식
    • 대한기계학회논문집B
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    • 제21권8호
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    • pp.1056-1067
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    • 1997
  • Present study visualized flow pattern and investigated spray characteristics of twin-fluid atomization with converging-diverging nozzles. Particle sizes were measured by using the Malvern particle analyzer, and the radial size distributions were evaluated by using the tomographic transform technique. The results show that the SMD generally increases in the radial direction at a prescribed liquid flow rate and the increasing rate in the SMD becomes gradual as atomizing gas pressure increases. The SMD decreases as the liquid flow rate increases at a fixed GLR (gas/liquid mass ratio). The atomization performance of the protrusion-type nozzle turned out to be superior to that of the flush-type. However, in the case of the protrusion-type, flow separation occurs outside the liquid delivery tube when the pressure at the gas nozzle chamber is high enough, which may deteriorate the atomization performance.

MUSIC-based Diagnosis Algorithm for Identifying Broken Rotor Bar Faults in Induction Motors Using Flux Signal

  • Youn, Young-Woo;Yi, Sang-Hwa;Hwang, Don-Ha;Sun, Jong-Ho;Kang, Dong-Sik;Kim, Yong-Hwa
    • Journal of Electrical Engineering and Technology
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    • 제8권2호
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    • pp.288-294
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    • 2013
  • The diagnosis of motor failures using an on-line method has been the aim of many researchers and studies. Several spectral analysis techniques have been developed and are used to facilitate on-line diagnosis methods in industry. This paper discusses the first application of a motor flux spectral analysis to the identification of broken rotor bar (BRB) faults in induction motors using a multiple signal classification (MUSIC) technique as an on-line diagnosis method. The proposed method measures the leakage flux in the radial direction using a radial flux sensor which is designed as a search coil and is installed between stator slots. The MUSIC technique, which requires fewer number of data samples and has a higher detection accuracy than the traditional fast Fourier transform (FFT) method, then calculates the motor load condition and extracts any abnormal signals related to motor failures in order to identify BRB faults. Experimental results clearly demonstrate that the proposed method is a promising candidate for an on-line diagnosis method to detect motor failures.

Frequency analysis of deep curved nonlocal FG nanobeam via DTM

  • S. A. H. Hosseini;O. Rahmani
    • Steel and Composite Structures
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    • 제49권6호
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    • pp.603-614
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    • 2023
  • In this paper, frequency analysis of curved functionally graded (FG) nanobeam by consideration of deepness effect has been studied. Differential transform method (DTM) has been used to obtain frequency responses. The nonlocal theory of Eringen has been applied to consider nanoscales. Material properties are supposed to vary in radial direction according to power-law distribution. Differential equations and related boundary conditions have been derived using Hamilton's principle. Finally, by consideration of nonlocal theory, the governing equations have been derived. Natural frequencies have been obtained using semi analytical method (DTM) for different boundary conditions. In order to study the effect of deepness, the deepness term is considered in strain field. The effects of the gradient index, radius of curvature, the aspect ratio, the nonlocal parameter and interaction of aforementioned parameters on frequency value for different boundary conditions such as clamped-clamped (C-C), clamped-hinged (C-H), and clamped-free (C-F) have been investigated. In addition, the obtained results are compared with the results in previous literature in order to validate present study, a good agreement was observed in the present results.

이산 월시 변환이 메타모델을 사용한 유전 알고리즘에 미치는 영향 (Effect of Discrete Walsh Transform in Metamodel-assisted Genetic Algorithms)

  • 유동필;김용혁
    • 한국융합학회논문지
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    • 제10권12호
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    • pp.29-34
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    • 2019
  • 유전 알고리즘에서 해의 적합도를 계산하는 시간이 오래 걸린다면 메타모델을 만드는 것은 필수적이다. 이에 메타모델의 성능을 높여 유전 알고리즘이 더 좋을 해를 찾게 하기 위한 연구가 진행되어 왔다. 본 연구에서 우리는 이산적인 도메인에서 이산 월시 변환을 사용해 메타모텔의 성능을 높이고자 하였다. 이산 월시 변환을 통해 해의 기저를 변환했고 변환된 해를 사용해 메타모델을 만들었다. 의사-불리언 함수의 대표적인 함수인 NK 모형을 대상으로 실험했고 제안된 모델의 성능에 대한 실증적인 증거를 제공했다. 제안된 모델을 사용해 유전 알고리즘을 수행했을 때, 유전알고리즘이 더 좋은 해를 찾음을 확인했다. 특히, 선행 연구인 유사도 함수를 이산적인 도메인에 적합하게 수정한 방사기저 함수 네트워크보다 좋은 성능을 보였다.

Robust Digital Image Watermarking Algorithm Using RBF Neural Networks in DWT domain

  • Piao, Cheng-Ri;Guan, Qiang;Choi, Jun-Rim;Han, Seung-Soo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권2호
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    • pp.143-147
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    • 2007
  • This paper proposes a new watermarking scheme in which a logo watermark is embedded into the discrete wavelet transform (DWT) domain of the original image using exact radial basis function neural networks (RBF). RBF will learn the characteristics of the image, and then watermark is embedded and extracted by the trained RBF. A watermark is added to the coefficients at the low frequency band of the DWT of an image and a watermark is embedded into the DWT domain using the trained RBF. The trained RBF also used in watermark extracting process. Experimental results show that the proposed method has good imperceptibility and high robustness to common image processing attacks.

누적 유사도 변환을 이용한 물체 추적 (Moving Object Tracking using Cumulative Similarity Transform)

  • Choo, Moon-Won
    • 한국콘텐츠학회논문지
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    • 제3권1호
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    • pp.58-63
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    • 2003
  • 동영상에서의 물체추적은 각 프레임간의 시공간적 정보의 대응성을 추적함으로써 이루어질 수 있다. 시공간적 대응성을 결정함에 있어 각 프레임의 color invariant 속성을 이용하여 각 프레임의 물체 위치를 예측하고, 추출된 물체 블록의 누적 유사도 변환을 적용한 수치를 이용하여 프레임간의 물체 대응성을 결정함으로써 물체를 추적하는 방법론을 제시한다. 실험결과를 통하여 이러한 방법의 적용 적절성을 검증하였다.

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표면부착형 영구자석 동기전동기의 진동 특성 해석 (Vibration Characteristics Analysis of Surface-mounted Permanent Magnet Synchronous Motor)

  • 최장영;박형일;신현재;유대준;장석명
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.1083-1084
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    • 2011
  • This paper deals with the vibration characteristics analysis of surface-mounted permanent magnet synchronous motor. To analyze the vibration characteristics, In order to find the frequency of exciting vibration forces, torque ripple and radial force were analyzed by fast fourier transform (FFT), and stator were analyzed by modal analysis.

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An Automatic Camera Tracking System for Video Surveillance

  • Lee, Sang-Hwa;Sharma, Siddharth;Lin, Sang-Lin;Park, Jong-Il
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2010년도 하계학술대회
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    • pp.42-45
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    • 2010
  • This paper proposes an intelligent video surveillance system for human object tracking. The proposed system integrates the object extraction, human object recognition, face detection, and camera control. First, the object in the video signals is extracted using the background subtraction. Then, the object region is examined whether it is human or not. For this recognition, the region-based shape descriptor, angular radial transform (ART) in MPEG-7, is used to learn and train the shapes of human bodies. When it is decided that the object is human or something to be investigated, the face region is detected. Finally, the face or object region is tracked in the video, and the pan/tilt/zoom (PTZ) controllable camera tracks the moving object with the motion information of the object. This paper performs the simulation with the real CCTV cameras and their communication protocol. According to the experiments, the proposed system is able to track the moving object(human) automatically not only in the image domain but also in the real 3-D space. The proposed system reduces the human supervisors and improves the surveillance efficiency with the computer vision techniques.

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Transient heat transfer analysis of functionally graded CNT reinforced cylinders with various boundary conditions

  • Moradi-Dastjerdi, Rasool;Payganeh, Gholamhassan
    • Steel and Composite Structures
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    • 제24권3호
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    • pp.359-367
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    • 2017
  • In this work, transient heat transfer analysis of functionally graded (FG) carbon nanotube reinforced nanocomposite (CNTRC) cylinders with various essential and natural boundary conditions is investigated by a mesh-free method. The cylinders are subjected to thermal flux, convection environments and constant temperature faces. The material properties of the nanocomposite are estimated by an extended micro mechanical model in volume fraction form. The distribution of carbon nanotube (CNT) has a linear variation along the radial direction of axisymmetric cylinder. In the mesh-free analysis, moving least squares shape functions are used for approximation of temperature field in the weak form of heat transform equation and the transformation method is used for the imposition of essential boundary conditions. Newmark method is applied for solution time depended problem. The effects of CNT distribution pattern and volume fraction, cylinder thickness and boundary conditions are investigated on the transient temperature field of the nanocomposite cylinders.