• Title/Summary/Keyword: Pattern discrimination

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The Evaluation of the Fuzzy-Chaos Dimension and the Fuzzy-Lyapunov Ddimension (화자인식을 위한 퍼지-상관차원과 퍼지-리아프노프차원의 평가)

  • Yoo, Byong-Wook;Park, Hyun-Sook;Kim, Chang-Seok
    • Speech Sciences
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    • v.7 no.3
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    • pp.167-183
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    • 2000
  • In this paper, we propose two kinds of chaos dimensions, the fuzzy correlation and fuzzy Lyapunov dimensions, for speaker recognition. The proposal is based on the point that chaos enables us to analyze the non-linear information contained in individual's speech signal and to obtain superior discrimination capability. We confirm that the proposed fuzzy chaos dimensions play an important role in enhancing speaker recognition ratio, by absorbing the variations of the reference and test pattern attractors. In order to evaluate the proposed fuzzy chaos dimensions, we suggest speaker recognition using the proposed dimensions. In other words, we investigate the validity of the speaker recognition parameters, by estimating the recognition error according to the discrimination error of an individual speaker from the reference pattern.

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A Study on the Optical Pattern Recognition using pSDF and Nonlinear Correlator (pSDF와 비선형 상관기를 이용한 광패턴 인식에 관한 연구)

  • 정창규;임종태;김경태;박한규
    • Korean Journal of Optics and Photonics
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    • v.1 no.2
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    • pp.130-134
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    • 1990
  • In this paper, pSDF-based referance image is reahzed. Using BJTC(binary joint transform correlator) as nonlinear correlator, optical pattern recognition for interclass discrimination is performed. Experimental results show that correlation peak intensity of one calss is two times higher than that of the other class, which indicates its superiority in discrimination sensitivity.

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Discrimination of Acoustic Emission Signals using Pattern Recognition Analysis (형상인식법을 이용한 음향방출신호의 분류)

  • Joo, Y.S.;Jung, H.K.;Sim, C.M.;Lim, H.T.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.10 no.2
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    • pp.23-31
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    • 1990
  • Acoustic Emission(AE) signals obtained during fracture toughness test and fatigue test for nuclear pressure vessel material(SA 508 cl.3) and artificial AE signals from pencil break and ultrasonic pulser were classified using pattern recognition methods. Three different classifiers ; namely Minimum Distance Classifier, Linear Discriminant Classifier and Maximum Likelihood Classifier were used for pattern recognition. In this study, the performance of each classifier was compared. The discrimination of AE signals from cracking and crack surface rubbing was possible and the analysis for crack propagation was applicable by pattern recognition methods.

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Discrimination of neutrons and gamma-rays in plastic scintillator based on spiking cortical model

  • Bing-Qi Liu;Hao-Ran Liu;Lan Chang;Yu-Xin Cheng;Zhuo Zuo;Peng Li
    • Nuclear Engineering and Technology
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    • v.55 no.9
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    • pp.3359-3366
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    • 2023
  • In this study, a spiking cortical model (SCM) based n-g discrimination method is proposed. The SCM-based algorithm is compared with three other methods, namely: (i) the pulse-coupled neural network (PCNN), (ii) the charge comparison, and (iii) the zero-crossing. The objective evaluation criteria used for the comparison are the FoM-value and the time consumption of discrimination. Experimental results demonstrated that our proposed method outperforms the other methods significantly with the highest FoM-value. Specifically, the proposed method exhibits a 34.81% improvement compared with the PCNN, a 50.29% improvement compared with the charge comparison, and a 110.02% improvement compared with the zero-crossing. Additionally, the proposed method features the second-fastest discrimination time, where it is 75.67% faster than the PCNN, 70.65% faster than the charge comparison and 38.4% slower than the zero-crossing. Our study also discusses the role and change pattern of each parameter of the SCM to guide the selection process. It concludes that the SCM's outstanding ability to recognize the dynamic information in the pulse signal, improved accuracy when compared to the PCNN, and better computational complexity enables the SCM to exhibit excellent n-γ discrimination performance while consuming less time.

A Statistical Analysis of the questionnaire concerning Sasang Constitutional Characteristics on 'Pattern of speech and activity' (말씨와 활동성의 체질특성 문항에 대한 통계적 분석)

  • Moon, Seong-Taek;Lee, Si-Woo;Kim, Hong-Gie;Kim, Jong-Yeol
    • Korean Journal of Oriental Medicine
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    • v.13 no.1 s.19
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    • pp.85-92
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    • 2007
  • To evaluate the suitability and effectiveness of the questionnaire concerning personal properties on 'pattern of speech and activity' according to the Sasang constitution that were used in Iksan Wonkwang Oriental Medicine, we analyzed the data of 1,335 patients obtained through the electronic chart in the aspect of 'relative discrimination ability' to Sasang constitutions and 'response ratio' using statistical Package SPSS. In categories of 'speech pattern', No.2 (speak mildly and softly) was effectively discriminating Soeum type. No.4 (talkative) and No.7 (speak fast) were effective factors for the discrimination of Soyang type, though No.4 (talkative) was needed to be improved in response ratio. The category of 'activity pattern' has shown high response ratio but low discriminating power. However, No.2 (keep staying home but avoid going out) in this category was effectively discriminating Soeum type. The discriminating power of 'pattern of speech and activity' for the age group less than 20 years old was too low, so it is necessary to develop the questionnaire for the elementary to high school students as well as for the preschoolers.

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Pattern Recognition for Typification of Whiskies and Brandies in the Volatile Components using Gas Chromatographic Data

  • Myoung, Sungmin;Oh, Chang-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.5
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    • pp.167-175
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    • 2016
  • The volatile component analysis of 82 commercialized liquors(44 samples of single malt whisky, 20 samples of blended whisky and 18 samples of brandy) was carried out by gas chromatography after liquid-liquid extraction with dichloromethane. Pattern recognition techniques such as principle component analysis(PCA), cluster analysis(CA), linear discriminant analysis(LDA) and partial least square discriminant analysis(PLSDA) were applied for the discrimination of different liquor categories. Classification rules were validated by considering sensitivity and specificity of each class. Both techniques, LDA and PLSDA, gave 100% sensitivity and specificity for all of the categories. These results suggested that the common characteristics and identities as typification of whiskies and brandys was founded by using multivariate data analysis method.

An Analysis on the Discrimination of the Information Usage Pattern by Pyeong-type Tenants: Focused on Tenants between Kohom's Permanent and Temporary Public Rental Housing (주택평형별 거주자들의 정보화 이용 패턴 차별성 분석 : 주택관리공단의 영구.국민 임대주택을 중심으로)

  • Ko, Jong-Moon;Kim, Shin-Pyo
    • Journal of Digital Convergence
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    • v.5 no.1
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    • pp.117-130
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    • 2007
  • This paper examines whether there exists discrimination of the information usage pattern between tenants of permanent and temporary public rental housing in Korea. Moreover, we focus to examine on that matters between two groups, $7{\sim}12$ pyeongs and $11{\sim}24$ pyeongs that indicate permanent and temporary public rental housing respectively. The results derived in this paper can be summarized as follows: there exists statistical significance in using computer, internet, communication and broadcasting, on the other hand, insignificance in using satellite communication and telephone between them. The implication of this results shows that as widen income gap, also widen gaps in using computer and internet between them. Thus government public rental housing policy should focus to make narrow income gap to diminish information gap between those groups.

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The discrimination model for the pattern identification diagnosis of the stroke (중풍의 변증 진단을 위한 판별모형)

  • Kang, Byeong-Kab;Kang, Kyung-Won;Park, Sae-Wook;Kim, Bo-Young;Kim, Jeong-Chul;Go, Mi-Mi;Seol, In-Chan;Jo, Hyun-Kyung;Lee, In;Choi, Sun-Mi
    • Korean Journal of Oriental Medicine
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    • v.13 no.2 s.20
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    • pp.59-63
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    • 2007
  • The purpose of this study was to diagnosis that what patterns identification using the statistical method. Discriminant analysis using the medical specialist and resident pattern identification agree case in stroke patients within 1 month of onset. The agreement rate of dificiency of Gi(75%), heat-transformation(74%), dampphlegm syndrome(69%), deficiency of Eum(51%) and syndrome of blood stagnation(43%) are respectively 0.75, 0.74, 0.69, 0.51 and 0.43 in medical specialist and using linear discriminant function pattern identification are same. The study of inspection, pulse feeling and palpitation will be continued to evaluate concordance rate. Discrimination model will be make to get higher Accuracy and prediction, it means becomes the help in pattern identification diagnosis objectivity and scientific.

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Discrimination of Ginseng Habitat by Using Instrumental Analysis Techniques

  • Sohn H. J.;Lee S. K.;Cho B. G.;Kim S. J.;Lee N. Y.;Choi D. S.;Jeong M. S.;Bae H. R.;Yang J. W.
    • Proceedings of the Ginseng society Conference
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    • 2002.10a
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    • pp.238-252
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    • 2002
  • In order to screen out indicators for the discrimination of ginseng habitat, some physical and chemical characteristics of Korean red ginsengs (94 kinds) and Chinese red ginsengs (50 kinds) were analyzed by using a rheometer, an electronic nose system, a combined technique of solid phase micro-extraction (SPME) and gas chromatograph equipped with an electron capture detector (GC/ECD), an X-ray fluorescence spectrometer (XRF), an inductively coupled plasma mass spectrometer (ICP/MS), a near infrared spectrometer (NIRs) and high performance liquid chromatography equipped with evaporative light scattering detector (HPLC/ELSD). The results are summarized as follows: (i) The rhizome strengths of Korean red ginsengs were significantly higher than those of Chinese red ginsengs. (ii) The electronic nose patterns of Korean red ginsengs were significantly different from those of Chinese red ginsengs. (iii) Some unidentified peaks were detected not in the headspace of Korean red ginsengs but in the headspace of Chinese red ginsengs when the headspace volatiles prepared by the SPME technique were analyzed by GC/ECD. (iv) Either the content ratios of K to Ca or Mn to Fe were significantly different between Korean red ginsengs and Chinese red ginsengs. (v) The reflectance ratios of NIRs wavenumbers such as $904\;cm^{-1}\;to\;1088\;cm^{-1}$ for Korean red ginsengs were significantly different from those for Chinese red ginsengs. (vi) The content ratios of ginsenoside-Rg to ginsenoside-Re of Korean red ginsengs were significantly higher than those of Chinese red ginsengs. These results indicate that the rhizome strength, the electronic nose pattern, the occurrence of ECD-sensitive headspace volatile components, the content ratios of K to Ca and Mn to Fe, the NIRs pattern and the content ratio of ginsenoside-Rg to -Re may be indicators for the discrimination of ginseng habitat.

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The Discrimination Model for the Pattern Identification Diagnosis of Overweight Patients (비만의 변증 진단을 위한 판별모형)

  • Kang, Kyung-Won;Moon, Jin-Seok;Kang, Byung-Gab;Kim, Bo-Young;Kim, No-Soo;Yoo, Jong-Hyang;Shin, Mi-Sook;Choi, Sun-Mi
    • Korean Journal of Oriental Medicine
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    • v.14 no.2
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    • pp.41-46
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    • 2008
  • The study was to investigate the agreement rate between the statistical diagnosis of pattern identification by discriminant analysis and the clinical diagnosis of pattern identification by medical specialist in obese patients with BMI$\geqq$23. The agreement rate of deficiency of the spleen, phlegm-retention, deficiency of Yang, retention of undigested food, stagnation of liver Gi, and blood stagnation are 0.40, 0.33, 0.52, 0.76, 0.71, and 0.66, respectively and accuracy rate and prediction rate using linear discriminant function are 0.59 and 0.61, respectively. Therefore, the complementary management in CRF questionnaires and/or consultation from experts will improve the accuracy and prediction rate, which will be helpful for pattern identification of obesity by clinical experts.

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