• 제목/요약/키워드: Probability density estimate

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테스트 용이도를 이용한 전력소모 예측 (Power Estimation by Using Testability)

  • 이재훈;민형복
    • 한국정보처리학회논문지
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    • 제6권3호
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    • pp.766-772
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    • 1999
  • With the increase of portable system and high-density IC, power consumption of VLSI circuits is very important factor in design process. Power estimation is required in order to estimate the power consumption. A simple and correct solution of power estimation is to use circuit simulation. But it is very time consuming and inefficient way. Probabilistic method has been proposed to overcome this problem. Transition density using probability was an efficient method to estimate power consumption using BDD and Boolean difference. But it is difficult to build the BDD and compute complex Boolean difference. In this paper, we proposed Propowest. Propowest is building a digraph of circuit, and easy and fast in computing transition density by using modified COP algorithm. Propowest provides an efficient way for power estimation.

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THE MINIMUM VARIANCE UNBIASED ESTIMATION OF SYSTEM RELIABILITY

  • Park, C.J.;Kim, Jae-Joo
    • 대한산업공학회지
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    • 제4권1호
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    • pp.29-32
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    • 1978
  • We obtain the minimum variance unbiased estimate of system reliability when a system consists of n components whose life times are assumed to be independent and identically distributed either negative exponential or geometric random variables. For the case of a negative exponential life time, we obtain the minimum variance unbiased estimate of the probability density function of the i-th order statistic.

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온라인 지문 인식 시스템을 위한 지문 품질 측정 (Fingerprint Image Quality Assessment for On-line Fingerprint Recognition)

  • 이상훈
    • 대한전자공학회논문지SP
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    • 제47권2호
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    • pp.77-85
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    • 2010
  • 온라인 지문 인식 시스템에서는 주변 환경, 사용자의 지문 상태 및 입력 방법에 따라 다양한 품질의 지문이 입력된다. 따라서 지문 인식 시스템의 성능을 향상시키기 위해서는, 입력된 지문 영상을 이용하여 본인과 타인간의 변별력을 높이는 연구뿐만 아니라 다양한 품질의 지문 영상들 중에서 품질이 좋은 지문 영상을 선택하여 이를 인식에 사용하는 연구도 병행이 되어야 한다. 하지만 대부분의 기존 연구에서는 지문의 지역적인 품질만을 측정하였기 때문에 한 장의 지문영상의 품질에 대한 예측은 거의 이루어지지 않았다. 따라서 본 논문에서는 획득된 지문 영상의 품질을 판단하기 위해서 지역적인 지문 품질 측정과 이를 통한 전역적 지문 품질 측정 방볍을 제안하였다. 지역적인 지문 품질 평가에서는 각 지문 블록에서 그레디언트(Gradient)의 확률 밀도 함수(Probability Density Function)의 형태를 측정하여 블록 별 품질 값을 예측하였고, 이를 기반으로 전역적인 품질 평가에서는 신경망(Neural network)올 사용하여 지문 영상 전체를 평가함으로써 입력된 영상의 사용 여부를 판단하였다. FVC2002 데이터베이스를 사용하여 실험한 결과, 제안한 전역적 방법을 사용하였을 때 NFIQ(NIST Fingerprint Image Quality)의 방법보다 정합 예측 성능이 높게 나타난 것올 확인할 수 있었다.

Pattern Optimization of Intentional Blade Mistuning for the Reduction of the Forced Response Using Genetic Algorithm

  • Park, Byeong-Keun
    • Journal of Mechanical Science and Technology
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    • 제17권7호
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    • pp.966-977
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    • 2003
  • This paper investigates how intentional mistuning of bladed disks reduces their sensitivity to unintentional random mistuning. The class of intentionally mistuned disks considered here is limited, for cost reasons, to arrangements of two types of blades (A and B, say). A two-step procedure is then described to optimize the arrangement of these blades around the disk to reduce the effects of unintentional random mistuning. First, a pure optimization effort is undertaken to obtain the pattern (s) of the A and B blades that yields small/the smallest value of the largest amplitude of response to a given excitation in the absence of unintentional random mistuning using Genetic Algorithm. Then, in the second step, a qualitative/quantitative estimate of the sensitivity for the optimized intentionally mistuned bladed disks with respect to unintentional random mistuning is performed by analyzing their amplification factor, probability density function and passband/stopband structures. Examples of application with simple bladed disk models demonstrate the significant benefits of using this class of intentionally mistuned disks.

Laplacian 분포 함수를 이용한 양자화 잡음 모델링 (Modeling Quantization Error using Laplacian Probability Density function)

  • 최지은;이병욱
    • 한국통신학회논문지
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    • 제26권11A호
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    • pp.1957-1962
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    • 2001
  • 영상 압축 또는 영상 부호화에서 후처리, 복원, transcoding을 하는 경우, DCT 계수의 양자화 잡음 모델이 필요하다. 양자화 된 계수만 알고 있는 경우에는 양자화 되기 전의 분포를 구할 수 없다. 본 논문에서는 양자화 되기 전의 DCT 계수의 확률 분포함수를 Laplacian으로 가정하고, 양자화된 계수로부터 분산을 구하고 이를 사용하여 양자화 이전의 분산을 추정하는 방법을 제시하였다. 여러 영상을 사용한 실험을 통하여 제안된 방법의 결과가 기존의 방법에서는 분산이 작게 나오는 단점을 보완하는 것을 확인하였다.

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Wakeby Distribution and the Maximum Likelihood Estimation Algorithm in Which Probability Density Function Is Not Explicitly Expressed

  • Park Jeong-Soo
    • Communications for Statistical Applications and Methods
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    • 제12권2호
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    • pp.443-451
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    • 2005
  • The studied in this paper is a new algorithm for searching the maximum likelihood estimate(MLE) in which probability density function is not explicitly expressed. Newton-Raphson's root-finding routine and a nonlinear numerical optimization algorithm with constraint (so-called feasible sequential quadratic programming) are used. This algorithm is applied to the Wakeby distribution which is importantly used in hydrology and water resource research for analysis of extreme rainfall. The performance comparison between maximum likelihood estimates and method of L-moment estimates (L-ME) is studied by Monte-carlo simulation. The recommended methods are L-ME for up to 300 observations and MLE for over the sample size, respectively. Methods for speeding up the algorithm and for computing variances of estimates are discussed.

A QUALITATIVE METHOD TO ESTIMATE HSI DISPLAY COMPLEXITY

  • Hugo, Jacques;Gertman, David
    • Nuclear Engineering and Technology
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    • 제45권2호
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    • pp.141-150
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    • 2013
  • There is mounting evidence that complex computer system displays in control rooms contribute to cognitive complexity and, thus, to the probability of human error. Research shows that reaction time increases and response accuracy decreases as the number of elements in the display screen increase. However, in terms of supporting the control room operator, approaches focusing on addressing display complexity solely in terms of information density and its location and patterning, will fall short of delivering a properly designed interface. This paper argues that information complexity and semantic complexity are mandatory components when considering display complexity and that the addition of these concepts assists in understanding and resolving differences between designers and the preferences and performance of operators. This paper concludes that a number of simplified methods, when combined, can be used to estimate the impact that a particular display may have on the operator's ability to perform a function accurately and effectively. We present a mixed qualitative and quantitative approach and a method for complexity estimation.

확률강우량 추정을 위한 확률분포함수의 매개변수 추정법에 대한 신뢰성 평가 (Reliability Evaluation of Parameter Estimation Methods of Probability Density Function for Estimating Probability Rainfalls)

  • 한정우;권현한;김태웅
    • 한국방재학회 논문집
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    • 제9권6호
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    • pp.143-151
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    • 2009
  • 최근의 극한 수문사상은 홍수, 가뭄과 같은 심각한 재해를 발생시킨다. 많은 연구자들은 불확실한 미래의 확률강우량 및 유출량의 예측을 위해 많은 노력을 하고 있다. 본 연구에서는 불확실성이 낮은 확률강우량의 산정을 위하여 매개변수 추정법을 평가하였다. 인천, 강릉, 광주, 부산, 추풍령 관측소를 연구 대상 관측소로 선정하여 자료를 수집하였고, ARMA모형을 이용하여 합성강우자료를 구축하였다. 본 연구에서는 극치강우사상에 적합한 것으로 알려진 Gumbel 분포와 GEV 분포모형에 대한 매개변수를 최우도법과 베이지안 추론방법을 사용하여 추정하였으며, Bootstrap 방법을 이용하여 확률강우량의 신뢰구간 길이를 추정하였다. 매개변수 추정 방법별 산정된 확률강우량의 신뢰구간 길이를 비교함으로서 불확실성이 낮은 확률강우량을 산정할 수 있는 매개변수 추정방법을 선정하였다.

Efficient Deployment of RSUs in Smart Highway Environment

  • Ge, Mingzhu;Chung, Yeongjee
    • International journal of advanced smart convergence
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    • 제8권4호
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    • pp.179-187
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    • 2019
  • Vehicular density is usually low in a highway environment. Consequently, connectivity of the vehicular ad hoc networks (VANETs) might be poor. We are investigating the problem of deploying the approximation optimal roadside units (RSUs) on the highway covered by VANETs, which employs VANETs to provide excellent connectivity. The goal is to estimate the minimal number of deployed RSUs to guarantee the connectivity probability of the VANET within a given threshold considering that RSUs are to be allocated equidistantly. We apply an approximation algorithm to distribute RSUs locations in the VANETs. Thereafter, performance of the proposed scheme is evaluated by calculating the connectivity probability of the VANET. The simulation results show that there is the threshold value M of implemented RSUs corresponding to each vehicular network with N vehicles. The connectivity probability increases slowly with the number of RSUs getting larger.

Structural reliability estimation based on quasi ideal importance sampling simulation

  • Yonezawa, Masaaki;Okuda, Shoya;Kobayashi, Hiroaki
    • Structural Engineering and Mechanics
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    • 제32권1호
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    • pp.55-69
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    • 2009
  • A quasi ideal importance sampling simulation method combined in the conditional expectation is proposed for the structural reliability estimation. The quasi ideal importance sampling joint probability density function (p.d.f.) is so composed on the basis of the ideal importance sampling concept as to be proportional to the conditional failure probability multiplied by the p.d.f. of the sampling variables. The respective marginal p.d.f.s of the ideal importance sampling joint p.d.f. are determined numerically by the simulations and partly by the piecewise integrations. The quasi ideal importance sampling simulations combined in the conditional expectation are executed to estimate the failure probabilities of structures with multiple failure surfaces and it is shown that the proposed method gives accurate estimations efficiently.