• 제목/요약/키워드: quantitative measure

검색결과 1,029건 처리시간 0.038초

정보이론 관점에서 음성 신호의 화자 특징 정보를 정량적으로 측정하는 방법에 관한 연구 (Quantitative Measure of Speaker Specific Information in Human Voice: From the Perspective of Information Theoretic Approach)

  • Kim Samuel;Seo Jung Tae;Kang Hong Goo
    • The Journal of the Acoustical Society of Korea
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    • 제24권1E호
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    • pp.16-20
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    • 2005
  • A novel scheme to measure the speaker information in speech signal is proposed. We develope the theory of quantitative measurement of the speaker characteristics in the information theoretic point of view, and connect it to the classification error rate. Homomorphic analysis based features, such as mel frequency cepstral coefficient (MFCC), linear prediction cepstral coefficient (LPCC), and linear frequency cepstral coefficient (LFCC) are studied to measure speaker specific information contained in those feature sets by computing mutual information. Theories and experimental results provide us quantitative measure of speaker information in speech signal.

A Quantitative Measure in Uniform Color Space for Dynamic False Contours on PDP

  • Park, Seung-Ho;Kim, Choon-Woo
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2002년도 International Meeting on Information Display
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    • pp.617-620
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    • 2002
  • Quantitative analysis of dynamic false contours on PDP is essential to evaluate the performance of algorithms for false contour reduction. It also serves as an optimization criterion for selecting the subfield pattern. In this paper, a color difference in uniform color space is defined as a new measure for dynamic false contours. Unlike the measures in previous works, it accounts for the channel dependencies among the RGB color channels.

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정지 영상에서 미도 값의 추출 (Extraction of Aesthetic Measure of Stabilized Image)

  • 이양원;이현창;김희애
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 춘계학술대회
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    • pp.122-124
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    • 2013
  • 미는 복잡 속의 질서에 의해 얻어진 것이라고 하였다. 여러 가지 배색의 조합에 대하여 조화가 좋은 아름다움은 정량적으로 표시된다고 하였다. 미도가 클수록 배색은 아름다우며, 보통 비도가 0.5이상이면 아름다운 배색이라 할 수 있다.

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Mean Phase Coherence as a Supplementary Measure to Diagnose Alzheimer's Disease with Quantitative Electroencephalogram (qEEG)

  • Che, Hui-Je;Jung, Young-Jin;Lee, Seung-Hwan;Im, Chang-Hwan
    • 대한의용생체공학회:의공학회지
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    • 제31권1호
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    • pp.27-32
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    • 2010
  • Noninvasive detection of patients with probable Alzheimer's disease (AD) is of great importance for assisting a medical doctor's decision for early treatment of AD patients. In the present study, we have extracted quantitative electroencephalogram (qEEG) variables, which can be potentially used to diagnose AD, from resting eyes-closed continuous EEGs of 22 AD patients and 27 age-matched normal control (NC) subjects. We have extracted qEEG variables from mean phase coherence (MPC) and EEG coherence, evaluated for all possible combinations of electrode pairs. Preliminary trials to discriminate the two groups with the extracted qEEG variables demonstrated that the use of MPC as a supplementary or alternative measure for the EEG coherence may enhance the accuracy of noninvasive diagnosis of AD.

A rolling analysis on the prediction of value at risk with multivariate GARCH and copula

  • Bai, Yang;Dang, Yibo;Park, Cheolwoo;Lee, Taewook
    • Communications for Statistical Applications and Methods
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    • 제25권6호
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    • pp.605-618
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    • 2018
  • Risk management has been a crucial part of the daily operations of the financial industry over the past two decades. Value at Risk (VaR), a quantitative measure introduced by JP Morgan in 1995, is the most popular and simplest quantitative measure of risk. VaR has been widely applied to the risk evaluation over all types of financial activities, including portfolio management and asset allocation. This paper uses the implementations of multivariate GARCH models and copula methods to illustrate the performance of a one-day-ahead VaR prediction modeling process for high-dimensional portfolios. Many factors, such as the interaction among included assets, are included in the modeling process. Additionally, empirical data analyses and backtesting results are demonstrated through a rolling analysis, which help capture the instability of parameter estimates. We find that our way of modeling is relatively robust and flexible.

모자이크 영상의 객관적 품질평가지수 산정 방법 (Calculation of Objective Quality-Evaluation-Index for Mosaic Imagery)

  • 우희숙;노명종;박준구;조우석;김병국
    • 대한공간정보학회지
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    • 제17권3호
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    • pp.33-40
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    • 2009
  • 본 연구에서는 모자이크 영상에 대하여 정량적인 품질평가지수에 대한 적용 가능성을 제시하였다. 우선, 영상 품질평가를 위해 접합영상의 접합선을 이용한 연속성 평가와 색상을 이용한 유사성(similarity) 및 대비(contrast)를 이용하여 품질평가지수를 산정하였다. 선정된 품질평가 항목을 기반으로 최종적인 품질평가지수를 산정하여 실험자에 의한 주관적 평가와의 비교, 검증을 수행하였다. 그 결과 정량적 품질평가지수가 주관적 평가지수와 유사한 결과를 나타냄으로써 제시한 영상 품질평가지수를 이용하여 제작된 모자이크 영상에 대한 정량적이고 객관적인 모자이크 영상의 품질평가가 가능하다는 것을 보여주었다.

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Quantitative measure for motion-induced artifacts in LCDs

  • Kim, Yu-Hoon;Chen, Qiao Song;Kang, Yoo-Jin;Kim, Choon-Woo
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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    • pp.987-990
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    • 2009
  • Motion-induced artifacts on LCDs appear as blurred boundaries and/or color aberration between the moving objects and background. Perceived degree of the motion-induced artifacts depends on the blur width as well as color difference. This paper presents a quantitative measure for the motion-induced artifacts on LCDs. Performance of the proposed measure is verified by calculating correlation coefficients between the proposed measures and the results of human visual tests performed on the 240 Hz and 120 Hz scanning LCD TVs.

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Quantitative Evaluation of Hepatic Steatosis Using Advanced Imaging Techniques: Focusing on New Quantitative Ultrasound Techniques

  • Junghoan Park;Jeong Min Lee;Gunwoo Lee;Sun Kyung Jeon;Ijin Joo
    • Korean Journal of Radiology
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    • 제23권1호
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    • pp.13-29
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    • 2022
  • Nonalcoholic fatty liver disease, characterized by excessive accumulation of fat in the liver, is the most common chronic liver disease worldwide. The current standard for the detection of hepatic steatosis is liver biopsy; however, it is limited by invasiveness and sampling errors. Accordingly, MR spectroscopy and proton density fat fraction obtained with MRI have been accepted as non-invasive modalities for quantifying hepatic steatosis. Recently, various quantitative ultrasonography techniques have been developed and validated for the quantification of hepatic steatosis. These techniques measure various acoustic parameters, including attenuation coefficient, backscatter coefficient and speckle statistics, speed of sound, and shear wave elastography metrics. In this article, we introduce several representative quantitative ultrasonography techniques and their diagnostic value for the detection of hepatic steatosis.

간접흡연의 정량적 노출측정 방법의 고찰 (Review of Various Quantitative Methods to Measure Secondhand Smoke)

  • 임수길;김정윤;임완령;손홍지;이기영
    • 한국환경보건학회지
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    • 제35권2호
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    • pp.100-115
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    • 2009
  • Secondhand smoke (SHS) is one of major public health threats. Since secondhand smoke is complex mixture of toxic chemicals, there has been no standardized method to measure SHS quantitatively. The purpose of this manuscript was to review various quantitative methods to measure SHS. There are two different methods: air monitoring and biological monitoring. Air monitoring methods include exhaled carbon monoxide level, ambient fine particulates, nicotine and 3-ethenylpyridine. Measurement of fine particulates has been utilized due to presence of real-time monitor, while fine particulates can have multiple indoor sources other than SHS. Ambient nicotine and 3-EP are more specific to SHS, although there is no real-time monitor for these chemicals. Biological monitoring methods include nicotine in hair, cotinine in urine, NNK in urine and DNA adducts. Nicotine in hair can provide chronic internal dose, while cotinine in urine can provide acute dose. Since biological monitoring can provide total internal dose, identification of specific exposure source may be difficult. NNK in urine can indicate carcinogenicity of the SHS exposure. DNA adducts can provide overall cancer causing exposure, but not specific to SHS. While there are many quantitative methods to measure SHS, selection of appropriate method should be based on purposes of assessment. Application of accurate and appropriate exposure assessment method is important for understanding health effects and establishing appropriate control measures.