• Title/Summary/Keyword: 밀도 함수

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Noisy Speech Enhancement Based on Complex Laplacian Probability Density Function (복소 라플라시안 확률 밀도 함수에 기반한 음성 향상 기법)

  • Park, Yun-Sik;Jo, Q-Haing;Chang, Joon-Hyuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.6
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    • pp.111-117
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    • 2007
  • This paper presents a novel approach to speech enhancement based on a complex Laplacian probability density function (pdf). With a use of goodness-of-fit (GOF) test we show that the complex Laplacian pdf is more suitable to describe the conventional Gaussian pdf. The likelihood ratio (LR) is applied to derive the speech absence probability in the speech enhancement algorithm. The performance of the proposed algorithm is evaluated by the objective test and yields better results compared with the conventional Gaussian pdf-based scheme.

Theoretical Calculations of Metol as Corrosion Inhibitor of Steel (강철 부식 방지제인 메톨에 대한 이론적 계산)

  • Gece, Gokhan
    • Journal of the Korean Chemical Society
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    • v.53 no.6
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    • pp.671-676
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    • 2009
  • Described here for the first time is an investigation on geometrical and electronic molecular structure of metol (N-methyl-p-aminophenol sulphate) as corrosion inhibitor of steel using density functional theory (DFT) calculations. Quantum chemical parameters such as highest occupied molecular orbital energy (EHOMO), lowest unoccupied molecular orbital energy (ELUMO), energy gap ((${\Delta}E$), Mulliken charges (($q_M$) and natural atomic (($q_n$) charge have been calculated both for gas and aqueous phases by using B3LYP/6-31G+(d,p) basis set. The relation between the inhibition efficiency and quantum chemical parameters have been discussed in order to elucidate the inhibition mechanism of the title compound.

Likelihood Approximation of Diffusion Models through Approximating Brownian Bridge (브라운다리 근사를 통한 확산모형의 우도 근사법)

  • Lee, Eun-kyung;Sim, Songyong;Lee, Yoon Dong
    • The Korean Journal of Applied Statistics
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    • v.28 no.5
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    • pp.895-906
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    • 2015
  • Diffusion is a mathematical tool to explain the fluctuation of financial assets and the movement of particles in a micro time scale. There are ongoing statistical trials to develop an estimation method for diffusion models based on likelihood. When we estimate diffusion models by applying the maximum likelihood estimation method on data observed at discrete time points, we need to know the transition density of the diffusion. In order to approximate the transition densities of diffusion models, we suggests the method to approximate the path integral of the random process with normal random variables, and compare the numerical properties of the method with other approximation methods.

광방사 세기비를 이용한 공정 플라즈마의 변수 진단

  • Lee, Yeong-Gwang;O, Se-Jin;Lee, Jae-Won;Hwang, Hye-Ju;Lee, Hui-Jin;Kim, Yu-Sin;Jeong, Jin-Uk
    • Proceedings of the Korean Vacuum Society Conference
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    • 2011.08a
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    • pp.149-149
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    • 2011
  • 아르곤 기체의 방사세기 또는 그 세기 비는 플라즈마 공정 진단에서 일반적으로 사용된다. 본 실험에서는 100 mTorr 압력 조건하의 유도결합 플라즈마(13.56 MHz)에서 E-H 모드 전이 영역, rf 바이어스(12.5 MHz) 전력 인가 및 N2 혼합 시 단순화한 충돌-방사 모델에 기초한 광방사 세기비 방법을 적용하여 플라즈마 변수를 진단하였다. 개발 프로그램 기반의 분광기를 사용하여 아르곤 기체의 특정 파장(750.4, 751.5 그리고 811.5 nm)들을 관측하였고, 동일한 조건하에서 정전 탐침법으을 이용하여 전자 에너지 분포함수의 변화도 측정 하였다. 맥스웰 전자 에너지 분포를 가정하는 일반적인 경우와 비교하여 볼 때 실제적인 전자 에너지 분포함수의 측정은 전자의 가열 메커니즘에 대한 상세한 정보를 제공함과 동시에 플라즈마 재흡수에 대한 보정을 가능하게 해준다. 광방사 세기비법에 의해 측정된 결과에 의하면, 750.4 nm/751.5 nm는 높은 에너지(>13.08 eV)의 전자들의 유효 전자온도에 대한 정보를 나타내는 반면 811.5 nm/750.4 nm는 아르곤 준안정 준위 밀도(1s5)에 대한 정보를 제공하게 된다. 수행된 실험 조건하에서, 측정된 준안정 준위 밀도는 E-H 모드 전이 영역에서 최대값을 나타내었고 바이어스 전압 및 N2 기체 혼합 비율이 증가함에 따라 감소하는 결과를 얻었다. 유효 전자온도의 경우 광방사 세기비법과 정전 탐침법 모두 같은 결과를 보여 주었는데, E-H 모드 전이 영역에서는 전자온도는 거의 일정하였고 바이어스 전압 및 N2 기체 혼합 비율이 증가함에 따라 전자온도는 증가하였다. 이러한 실험 결과는 방전 모드 전이, 바이어스 인가 그리고 혼합 기체 사용하는 공정 플라즈마를 이해하는데 있어 이들 변수의 진단이 중요한 요소임을 보여준다.

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The Validity Test of Statistical Matching Simulation Using the Data of Korea Venture Firms and Korea Innovation Survey (벤처기업정밀실태조사와 한국기업혁신조사 데이터를 활용한 통계적 매칭의 타당성 검증)

  • An, Kyungmin;Lee, Young-Chan
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.245-271
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    • 2023
  • The change to the data economy requires a new analysis beyond ordinary research in the management field. Data matching refers to a technique or processing method that combines data sets collected from different samples with the same population. In this study, statistical matching was performed using random hotdeck and Mahalanobis distance functions using 2020 Survey of Korea Venture Firms and 2020 Korea Innovation Survey datas. Among the variables used for statistical matching simulation, the industry and the number of workers were set to be completely consistent, and region, business power, listed market, and sales were set as common variables. Simulation verification was confirmed by mean test and kernel density. As a result of the analysis, it was confirmed that statistical matching was appropriate because there was a difference in the average test, but a similar pattern was shown in the kernel density. This result attempted to expand the spectrum of the research method by experimenting with a data matching research methodology that has not been sufficiently attempted in the management field, and suggests implications in terms of data utilization and diversity.

Low Noise Characteristics of the Comformal Sensor Array's Support Structure (곡면배열 센서의 저소음화를 위한 지지구조 설계 구조)

  • Lee, Jong-Kil;Lee, Sang-Won;Seo, Hee-Sun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.10a
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    • pp.340-341
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    • 2010
  • Noise reduction is an important factor to design low noise sensor array. In this paper three layers of the de-coupler in the conformal sensor array were used to investigate noise reduction. Conformal sensor array is positioned in the layers and the distance from the layer is 0.25cm~1.5cm. Transfer function in the frequency density function is investigated according to the three different positions. When increasing the embedded distance the flow noise decreased in the region of the kx>10.

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A Study on the Availability Evaluation with Failure Density Function of Equipment of Small-scale Plant (소규모 플랜트 기자재의 고장밀도함수가 가용도에 미치는 영향 평가)

  • Lee, Hongcheol;Hwang, Inju
    • The KSFM Journal of Fluid Machinery
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    • v.19 no.3
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    • pp.33-36
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    • 2016
  • The investigation on the verification of availability simulation for small-scale plant has been carried out. This study focuses on the availability variation induced by number of equipment and iteration with failure density function. The equipment classification of small-scale plant and failure type and the methodologies on Monte-Carlo simulation are established. The availability deviation with programs showed under Max. 1.7% for the case of normal function. This method could be used to availability evaluation of small-scale plant, but calibration of the failure density function is necessary for general application.

Measurement of Mechanical Material Properties of Rubber Compounds Sampled from a Pneumatic Tire (타이어에서 채취한 고무배합물의 기계적 물성 측정)

  • 김용우;김종국
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.04a
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    • pp.404-409
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    • 2002
  • Pneumatic tires usually contain a variety of rubber compositions, each designed to contribute some particular factor to overall performance. Rubber compounds designed for a specific function will usually be similar but not identical In composition and properties. Since 1970`s finite element analysis of tire has been performed extensively, which requires some energy density functions of rubber components of a tire. The conventional Mooney-Rivlin material model is one of the description that is commonly used in the analysis of tire. In this paper, we report the two material constants of gooney-Rivlin material model for some rubber compounds of a real pneumatic tire, which are obtained through uniaxial tension test.

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Decomposition of the Changes in Wage Density Function : 2000~2007 (임금밀도함수의 변화 및 구성분해 : 2000~2007년)

  • Kim, Dae Il
    • Journal of Labour Economics
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    • v.36 no.3
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    • pp.29-64
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    • 2013
  • This paper documents the recent changes in wage density and decomposes them. Middle group is found to have shrunk, one-third of which reflects the changes in worker composition. The rest mostly reflects insufficient supply response to the rising skill demand within jobs. The pattern is more pronounced among manufacturing, large and unionized firms, and production workers.

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Development of Probability Theory based Dynamic Travel Time Models (확률론적 이론에 기초한 동적 통행시간 모형 정립)

  • Yang, Chul-Su
    • Journal of Korean Society of Transportation
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    • v.29 no.3
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    • pp.83-91
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    • 2011
  • This paper discusses models for estimating dynamic travel times based on probability theory. The dynamic travel time models proposed in the paper are formulated assuming that the travel time of a vehicle depends on the distribution of the traffic stream condition with respect to the location along a road when the subject vehicle enters the starting point of a travel distance or with respect to the time at the starting point of a travel distance. The models also assume that the dynamic traffic flow can be represented as an exponential distribution function among other types of probability density functions.