• Title/Summary/Keyword: 고유함수

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Numerov-Cooley Method on a Potential of NO Molecule (산화질소 분자 퍼텐셜에 적용한 Numerov-Cooley 방법)

  • Cho, Seon-Woog
    • Journal of the Korean Chemical Society
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    • v.51 no.2
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    • pp.125-128
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    • 2007
  • In applying Numerov-Cooley method, Excel tool ‘Solver' is used to match those two wave functions propagated inward and outward, respectively. It is numerically confirmed that the same eigenvalue is obtained by using the average of two energy values of each inward and outward wave functions. This method is applied to a NO molecule potential, and we calculated the variations of the average bond distance and tunneling for a given vibrational energy. It is found that the average bond lengths increase proportionately to the vibrational energy, while the tunneling is not so sensitive to the energy changes. Rather substantial amount of tunnel effect is found for every vibrational state.

Speaker Linear Distortion Canceller Considering Properties of Human Ear (귀의 특성을 고려한 스피커의 선형 왜곡보상 시스템의 설계 및 구현에 관한 연구)

  • 이원우;허정권;김진영;성굉모
    • The Journal of the Acoustical Society of Korea
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    • v.12 no.5
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    • pp.38-46
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    • 1993
  • 스피커는 입력이 전기신호이고 출력이 소리인 전기 음향 장치로서, 고유의 전달함수를 갖는 하나의 시스템으로 생각할 수 있다. 일한 스피커 시스템의 전달함수는 여러 가지 원인으로 인해 주파수 영역에서 평탄한 특성을 가지지 못하며 선형위상의 조건을 만족시키기가 힘들다. 음색을 변화시키는 스피커의 전달함수를 선형이라고 가정할 때 스피커의 앞단에서 스피커의 선형 전달함수의 역에 해당하는 선형 필터를 추가함으로쏘, 음색의 왜곡은 보정할 수 있다. 본 연구에서는 이러한 스피커의 선형왜곡을 보상하기 위한 선형필터로서 FIR 필터를 사용하였으나, 2장에 제시되어 있는 기존의 알고리듬과는달리 귀의 청감특성을 이용하여 가청주파수 대역에 대해 몇 개의 대역으로 나눈 후, 각 대역마다 보상 할 주파수 해상도를 달리하는 새로운 알고리듬에 대해 기술하였다. 이러한 다해상도 선형왜곡 보상시스템은 각 대역마다 다른 해상도로 보상한다는점에서는 필터뱅크 보상 시스템과 유사하지만, 대역통과필터가 아닌 저역통과필터만을 이용하여 설계의 복잡서응ㄹ 줄였으며 각 대역마다 독립적으로 보상하는 필터뱅크 보상시스템과는 달리 1차 대역에서 보상하지 ath한 오차를 2차, 3차에서 보상하는 새로운 기법을 이용하였다. 본 알고리듬을 적용한 모의실험을 통하여 성능을 평가한 결과 가청음대역에서 ±6dB의 왜곡을 보인 스피커가 실효 tap수를 272로 했을 때 ±0.5dB의 리플을 보이는 양호한 결과를 얻었다.

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Primary study on evaluation of wetting front distribution for weathered soil (토층 사면에서의 침윤선 분포 특성 파악을 위한 실험 연구)

  • Kim, Man-Il;Chae, Byung-Gon;Seo, Yong-Seok;Kim, Hyeun
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.03a
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    • pp.1395-1399
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    • 2008
  • 국내 토층 사면을 대상으로 강우에 의해 발생되는 침투수 거동 특성을 분석함으로써 지속적인 토층의 물성 변화 계측을 통해 산사태 예 경보시스템을 구축이 가능하다. 본 연구에서는 산사태 예 경보시스템 구축의 사전 단계로써, 국내 대표적인 지질 매질인 화강암 풍화토, 편마암 풍화토와 주문진 표준사에 대해 공극률과 체적함수비 등의 토질 물성 변화를 고려한 실내 보정실험을 수행하였다. 실험조건은 공극률, 체적함수비 변화에 대한 측정센서의 측정 정밀도 향상과 이를 통해 국내 현장토에 대한 고유 보정기법을 제시하기 위함이다. 측정센서는 각 실험 조건별 물성 변화에 따라 전압을 측정함으로써 현장토에 대한 물성치와 상호 분석이 가능하도록 하였다. 주문진 표준사 뿐만 아니라 국내 현장토인 화강암 풍화토와 편마암 풍화토에 대한 체적함수비에 대한 보정식도 함께 제시하였다.

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Determination of Degraded Fiber Properties of Laminated CFRP Flat Plates Using the Bivariate Gaussian Distribution Function (이변량 Gaussian 분포함수를 적용한 CFRP 적층 평판의 보강섬유 물성저하 규명)

  • Kim, Gyu-Dong;Lee, Sang-Youl
    • Composites Research
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    • v.29 no.5
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    • pp.299-305
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    • 2016
  • This paper presents a method to detect the fiber property variation of laminated CFRP plates using the bivariate Gaussian distribution function. Five unknown parameters are considered to determine the fiber damage distribution, which is a modified form of the bivariate Gaussian distribution function. To solve the inverse problem using the combined computational method, this study uses several natural frequencies and mode shapes in a structure as the measured data. The numerical examples show that the proposed technique is a feasible and practical method which can prove the location of a damaged region as well as inspect the distribution of deteriorated stiffness of CFRP plates for different fiber angles and layup sequences.

Face Recognition by Combining Linear Discriminant Analysis and Radial Basis Function Network Classifiers (선형판별법과 레이디얼 기저함수 신경망 결합에 의한 얼굴인식)

  • Oh Byung-Joo
    • The Journal of the Korea Contents Association
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    • v.5 no.6
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    • pp.41-48
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    • 2005
  • This paper presents a face recognition method based on the combination of well-known statistical representations of Principal Component Analysis(PCA), and Linear Discriminant Analysis(LDA) with Radial Basis Function Networks. The original face image is first processed by PCA to reduce the dimension, and thereby avoid the singularity of the within-class scatter matrix in LDA calculation. The result of PCA process is applied to LDA classifier. In the second approach, the LDA process Produce a discriminational features of the face image, which is taken as the input of the Radial Basis Function Network(RBFN). The proposed approaches has been tested on the ORL face database. The experimental results have been demonstrated, and the recognition rate of more than 93.5% has been achieved.

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A Study on Pixel Brightness Transfer Function for Low Light Edge Detection (저조도 에지 검출을 위한 화소 휘도 변환 함수에 관한 연구)

  • Ko, You-Hak;Kwon, Se-Ik;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.787-789
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    • 2017
  • Edge detection is used in many applications such as image analysis, pattern recognition and computer vision. Existing edge detection methods, there is such Sobel, Prewitt, Roberts, and LoG(Laplacian of Gaussian). In the conventional edge detection method, edge detection is insufficient because the change of the pixel brightness is small when the original image is in low illumination. Therefore, in this paper, we proposed a function to convert the pixel brightness of low illumination image to solve this problem. And it was compared by applying the conventional methods Sobel, Prewitt, Roberts, LoG(Laplacian of Gaussian) to determine the performance of the pixel brightness transform function.

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Variability of Mid-plane Symmetric Functionally Graded Material Beams in Free Vibration (중립면 대칭 기능경사재료 보의 자유진동 변화도)

  • Nguyen, Van Thuan;Noh, Hyuk-Chun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.3
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    • pp.127-132
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    • 2018
  • In this paper, a scheme for the evaluation of variability in the eigen-modes of functionally graded material(FGM) beams is proposed within the framework of perturbation-based stochastic analysis. As a random parameter, the spatially varying elastic modulus of FGM along the axial direction at the mid-surface of the beam is chosen, and the thru-thickness variation of the elastic modulus is assumed to follow the original form of exponential variation. In deriving the formulation, the first order Taylor expansion on the eigen-modes is employed. As an example, a simply supported FGM beam having symmetric elastic modulus with respect to the mid-surface is chosen. Monte Carlo analysis is also performed to check if the proposed scheme gives reasonable outcomes. From the analyses it is found that the two schemes give almost identical results of the mean and standard deviation of eigen-modes. With the propose scheme, the standard deviation shape of respective eigen-modes can be evaluated easily. The deviated mode shape is found to have one more zero-slope points than the mother modes shapes, irrespective of order of modes. The amount of deviation from the mean is found to have larger values for the higher modes than the lower modes.

A Study of Impact Reduction Characteristics of Hat-Shaped Stiffened Panel Under Hypervelocity Impact (초고속 충돌을 받는 모자형 보강 패널의 충격 저감 특성에 관한 연구)

  • Yang, Tae-Ho;Lee, Young-Shin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.7
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    • pp.929-935
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    • 2013
  • This paper presents the results of sizing optimization of ahat-shaped stiffener on a rectangular stiffened panel. The stiffened panel is subjected to impact loading by a projectile with a velocity of 1500-2500 m/s. To determine the size of the hat-shaped stiffener, sizing optimization was performed. The sizing optimization consists of three functions: objective, constraint, and design functions. The objective function is used to maximize the fundamental frequency of the stiffened panel. The constraint function is that the stiffener volume is less than 10% of the plate volume. The design function is the dimensions of the hat-shaped stiffener. By using the stiffened panel with the optimized hat-shaped stiffener, a hypervelocity impact was simulated, and the velocity and kinetic energy on the optimized stiffener was obtained. To evaluate the impact reduction on the stiffened panel, the velocity and kinetic energy of the projectile was normalized and compared.

Estimation of Pump Induced Vibration Force by Frequency Response Function (진동수응답함수 측정에 따른 펌프 가진력 산정)

    • Journal of the Earthquake Engineering Society of Korea
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    • v.3 no.1
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    • pp.103-112
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    • 1999
  • This is study to estimate the pump induced vibration in time and frequency domain by frequency response function between two points in case of 20Hp and 50Hp centrifugal pumps. The frequency response function has real and imaginary information of signals, and response function has also real and imaginary information. So the vibration force can be obtained from the response function and frequency response function by complex calculation. And it is compared with the theoretically estimated values and it is suggested that the amplitude of vibration with main frequency is about 10~25% of pump and motor weight, and the magnitude of unbalanced mass is about 30~60% of pump and motor weight to estimated vibration force in time domain. There are the other kinds of vibration components with different frequency values of 2~3 times of its main frequency, and these kinds of information are used to control the tuning ratio between operating frequency of pump and structural frequency of concrete slab.

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Association rule ranking function using conditional probability increment ratio (조건부 확률증분비를 이용한 연관성 순위 결정 함수)

  • Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.709-717
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    • 2010
  • The task of association rule mining is to find certain association relationships among a set of data items in a database. There are three primary measures for association rule, support and confidence and lift. In this paper we developed a association rule ranking function using conditional probability increment ratio. We compared our function with several association rule ranking functions by some numerical examples. As the result, we knew that our decision function was better than the existing functions. The reasons were that the proposed function of the reference value is not affected by a particular association threshold, and our function had a value between -1 and 1 regardless of the range for three association thresholds. And we knew that the ranking function using conditional probability increment ratio was very well reflected in the difference between association rule measures and the minimum association rule thresholds, respectively.