• Title/Summary/Keyword: transformed pattern

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Computer Simulation of the Electric Potential Distribution of Human Cross Section (심장 횡단면의 전위분포 컴퓨터 시뮬레이션)

  • 고용훈;박상희
    • Journal of Biomedical Engineering Research
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    • v.3 no.2
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    • pp.65-70
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    • 1982
  • This paper presents a new method of solving the electric potential distribution using the finite element method. The thoracic region surrounded by the body surface and the heart is discretized into finite elements and the Continuous Laplace-equation is transformed into one of the finite degrees of freedom. The current source density, the conductivity, and the excitable range is obtained by the references. From the result of simulation, it was revealed that the potential pattern of in homogeneity was much different from that of homogeneity.

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An intelligent system for isomorphic transformation pattern recognition

  • Xie, Qiusheng;Kobayashi, Akira
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.939-944
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    • 1990
  • To recognize isomorphic transformation patterns, such as scale-change, translation and rotation transformed patterns, is an old difficult but interesting problem. Many researches have been done with a dominant approach of normalization by many eminent pioneers. However, there seems no a perfect system which can even recognize 90 .deg.-multiple rotation isomorphic transformation patterns for real needs. Here, as a new challenge, we propose a method of how to recognize 90 .deg.-multiple rotation isomorphic and symmetry isomorphic transformation patterns.

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An Adaptive Neuro-Fuzzy System Using Fuzzy Min-Max Networks (퍼지 Min-Max 네트워크를 이용한 적응 뉴로-퍼지 시스템)

  • 곽근창;김성수;김주식;유정웅
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.367-367
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    • 2000
  • In this paper, an Adaptive neuro-fuzzy Inference system(ANFIS) using fuzzy min-max network(FMMN) is proposed. Fuzzy min-max network classifier that utilizes fuzzy sets as pattern classes is described. Each fuzzy set is an aggregation of fuzzy set hyperboxes. Here, the proposed method transforms the hyperboxes into gaussian membership functions, where the transformed membership functions are inserted for generating fuzzy rules of ANFIS. Finally, we applied the proposed method to the classification problem of iris data and obtained a better performance than previous works.

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Culture of Hairy Roots Induced by Agrobacterium rhizogenes in Platycodon grandiflorum DC. (Balloon Flower) (Agrobacterium rhizogenes 에 의하여 유도된 도라지 (Platycodon grandiflorum DC.) Hairy Root 의 배양)

  • 김병노
    • Journal of Plant Biology
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    • v.33 no.3
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    • pp.183-188
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    • 1990
  • Induction and culture of hairy roots by Agrobacterium rhizogenes A4 were carried out in Platycodon grandiflorum DC. After 2-4 weeks of inoculation with Agrobacterium rhizogenes hairy roots were formed at root segments in the balloon flower. Optimized growth of hairy roots was obtained in hormone-free MS medium, 6% sucrose and pH 5.8. The pattern of ginsenoside in the transformed roots was not different with that in the ordinary roots.

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Emotion Recognition System Using Neural Networks in Textile Images (신경망을 이용한 텍스타일 영상에서의 감성인식 시스템)

  • Kim, Na-Yeon;Shin, Yun-Hee;Kim, Soo-Jeong;Kim, Jee-In;Jeong, Karp-Joo;Koo, Hyun-Jin;Kim, Eun-Yi
    • Journal of KIISE:Software and Applications
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    • v.34 no.9
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    • pp.869-879
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    • 2007
  • This paper proposes a neural network based approach for automatic human emotion recognition in textile images. To investigate the correlation between the emotion and the pattern, the survey is conducted on 20 peoples, which shows that a emotion is deeply affected by a pattern. Accordingly, a neural network based classifier is used for recognizing the pattern included in textiles. In our system, two schemes are used for describing the pattern; raw-pixel data extraction scheme using auto-regressive method (RDES) and wavelet transformed data extraction scheme (WTDES). To assess the validity of the proposed method, it was applied to recognize the human emotions in 100 textiles, and the results shows that using WTDES guarantees better performance than using RDES. The former produced the accuracy of 71%, while the latter produced the accuracy of 90%. Although there are some differences according to the data extraction scheme, the proposed method shows the accuracy of 80% on average. This result confirmed that our system has the potential to be applied for various application such as textile industry and e-business.

Edge Detection Using the Co-occurrence Matrix (co-occurrence 행렬을 이용한 에지 검출)

  • 박덕준;남권문;박래홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.11
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    • pp.111-119
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    • 1992
  • In this paper, we propose an edge detection scheme for noisy images based on the co-occurrence matrix. In the proposed scheme based on the step edge model, the gray level information is simply converted into a bit-map, i.e., the uniform and boundary regions of an image are transformed into a binary pattern by using the local mean. In this binary bit-map pattern, 0 and 1 densely distributed near the boundary region while they are randomly distributed in the uniform region. To detect the boundary region, the co-occurrence matrix on the bit-map is introduced. The effectiveness of the proposed scheme is shown via a quantitative performance comparison to the conventional edge detection methods and the simulation results for noisy images are also presented.

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Wavelet circular harmonic function frequency selective joint transform correlator for rotation invariant pattern recognition (회전불변 패턴인식을 위한 WCHF-FSJTC)

  • 방준학;이하운;노덕수;김수중
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.2
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    • pp.94-103
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    • 1997
  • The WCHF-FSJTC (wavelet circular harmonic function frequency selective joint transform correlator) using th wavelet transformed CHF as the reference image in FSJTC is proposed for rotation invariant pattern recognition. Since the wavelet transform has the property of feature extraction, the proposed system can have the better DC (discrimination cpability) and the higher SNR(signal to noise ratio) compared with the conventional CHF-CJTC(circular harmonic function conventional joint transform correlator). And since the structure of the proposed system is FSJTC which can eliminate auto-correlation and cross-correlation between input images, it can eliminate false alarm caused by the overlapping among correlation peaks. The used wavelet functio is the morlet function, which is proper for the reference image used in this paper. the optimal dialation parameter and oscillation frequency of the wavelet function are also achieved with varying the parameters of the wavelet function. The computer simulation shows that the proposed system has the best performance when the dilation parameter is 0.8 and the oscillation frequency is 0.48.

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Elliptic Integral Solutions of Large Deflection of Reinforcing Fiber Elastica with Circular Wavy Pattern

  • Jung, Jae-Ho;Lee, Kyung-Woo;Kang, Tae-Jin
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2001.10a
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    • pp.163-169
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    • 2001
  • The solution of two-dimensional deflection of circular wavy reinforcing fiber elastics was obtained for one end clamped boundary under concentrated load condition. The fiber was regarded as a linear elastic material. Wavy shape was described as a combination of half-circular arc smoothly connected each other with constant curvature of all the same magnitude and alternative sign. Also load direction was taken into account. As a result, the solution was expressed in terms of a series of elliptic integrals. These elliptic integrals had two different transformed parameters involved with load value and initial radius of curvature. While we found the exact solutions and expressed them in terms of elliptic integrals, the recursive ignition formulae about the displacement and arc length at each segment of circular section were obtained. Algorithm of determining unknown parameters was established and the profile curve of deflected beam was shown in comparison with initial shape.

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Winding Fault Diagnosis for BLDC Motor using MCSA (MCSA를 이용한 BLDC 전동기의 고정자 권선 고장 진단)

  • Lee, Dae-Seong;Yang, Chul-Oh;Kim, Jun-Young;Kim, Dae-Hong;Moon, Yong-Seon;Park, Kyu-Nam;Song, Myung-Hyun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1876-1877
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    • 2011
  • In this paper, a winding fault diagnosis method base on MCSA(Motor Current Signature Analysis) for BLDC motor is proposed. This method is programmed by LabVIEW for winding fault diagnosis. For winding fault diagnosis, two types of winding fault(shorted turn at one pole, shorted turn at two pole in same phase) are put intentionally in on phase. The motor current is collected by hole sensor, and transformed by the Park's transform, and then the Park's Vector Pattern are obtained, Usually this pattern is formed an ellipse, so a proper threshold value of distortion ratio(the ratio of the shortest axis and longest axis of ellipse) is suggested for winding faults diagnosis.

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Development of Morphological Pattern Recognition System - Morphological Shape Decomposition using Shape Function (형태론적 패턴인식 시스템의 개발 - 형상함수를 이용한 형태론적 형상분해)

  • Jong Ho Choi
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.8
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    • pp.1127-1136
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    • 1995
  • In this paper, a morphological shape decomposition method is proposed for the purpose of pattern recognition and image compression. In the method, a structuring element that geometrical characteristics is more similar to the shape function is preselected. The shape is decomposed into the primitive elements corresponding to the structuring element. A gray scale image also is transformed into 8 bit plane images for the hierarchical reconstruction required in image communication systems. The shape in each bitplane is decomposed to the proposed method. Through the experiment. it is proved that the description error is reduced and the coding efficiency is improved.

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