• 제목/요약/키워드: Joint PDF

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전자문헌 개발도구에 관한 고찰 - SGML, HTML과 PDF를 중심으로 - (A Study on Tools to Develop Electronic Documents)

  • 김용;남궁황
    • 정보관리연구
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    • 제29권1호
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    • pp.1-19
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    • 1998
  • 정보의 이용과 보존에 따른 시간적, 공간적 한계를 극복하기 위해서 컴퓨터와 네트워크 기술을 기반으로 하는 전자도서관에 대한 국가적인 관심과 지원이 더욱 증대되고 있다. 전자도서관의 궁극적 목적인 정보의 자유로운 유통과 관리를 위한 전자문헌형식과 이에 대한 표준화는 오늘날 중요한 논점으로서 부각되고 있다. 현재, 디지털 정보를 담을 수 있는 다양한 전자문헌개발을 위한 도구들이 있으며, 여러 분야에서 활용되고 있다. 그러나, 단지 특정한 전자문헌개발도구만이 전자도서관을 구축하기 위한 도구로서 기능적인 측면에서나 전자문헌의 제작에 있어서 절대적인 우위성을 갖고 있지는 못하다. 즉, 개개의 도구들은 전자문헌의 형식과 기능 및 정보량에 따른 검색의 효율성에 따라서 상대적인 장, 단점을 가지고 있다. 본 연구에서는 향후의 전자도서관에서 전자문헌이 갖추어야 할 기본조건들과 전자문헌의 개발을 위한 도구로서 사용되어질 대표적인 전자문헌개발도구인 SGML, HTML과 PDF에 의한 전자문헌의 제작 방법과 특징들을 살펴보고, 각각의 상대적인 장, 단점을 비교, 분석함으로써 미래의 전자도서관에서의 자료유형에 따라 적응될 수 있는 적절한 전자문헌개발도구를 제안하였다.

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성능의 상관관계를 고려한 시스템 신뢰성 해석 (System Reliability Analysis Considering Correlation of Performances)

  • 김새결;임우철;이태희
    • 대한기계학회논문집A
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    • 제41권4호
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    • pp.291-297
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    • 2017
  • 신뢰성 해석은 설계변수의 공차나 환경변수 및 재료 물성치의 불확실성으로 인해 발생하는 제품성능의 불확실성을 고려하기 위해 제품의 신뢰도를 평가하는 기법이다. 기존의 많은 신뢰성 해석 기법은 성능의 신뢰도를 독립적으로 계산한다. 그러나 실제 공학 문제에서 시스템의 성능은 상관관계를 가질 수 있으며 이로 인해 전체 시스템의 신뢰도와 성능의 신뢰도 사이에 차이가 발생한다. 본 연구에서는 코플라를 이용하여 시스템에서 상관관계가 있는 성능의 결합확률밀도함수를 추정하고 이를 이용하여 시스템의 신뢰도를 평가하는 시스템 신뢰성 해석 기법을 제안한다. 수학예제를 통하여 제안하는 기법의 정확성을 검증하고 트러스 구조물에 시스템 신뢰성 해석 기법을 적용하여 제안하는 기법의 유용성을 확인한다.

A New Joint Packet Scheduling/Admission Control Framework for Multi-Service Wireless Networks

  • Long Fei;Feng Gang;Tang Junhua
    • Journal of Communications and Networks
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    • 제7권4호
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    • pp.408-416
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    • 2005
  • Quality of service (QoS) provision is an important and indispensable function for multi-service wireless networks. In this paper, we present a new scheduling/admission control frame­work, including an efficient rate-guaranteed opportunistic scheduling (ROS) scheme and a coordinated admission control (ROS­CAC) policy to support statistic QoS guarantee in multi-service wireless networks. Based on our proposed mathematical model, we derive the probability distribution function (PDF) of queue length under ROS and deduce the packet loss rate (PLR) for individual flows. The new admission control policy makes admission decision for a new incoming flow to ensure that the PLR requirements of all flows (including the new flow) are satisfied. The numerical results based on ns-2 simulations demonstrate the effectiveness of the new joint packet scheduling/admission control framework.

SHM-based probabilistic representation of wind properties: statistical analysis and bivariate modeling

  • Ye, X.W.;Yuan, L.;Xi, P.S.;Liu, H.
    • Smart Structures and Systems
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    • 제21권5호
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    • pp.591-600
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    • 2018
  • The probabilistic characterization of wind field characteristics is a significant task for fatigue reliability assessment of long-span railway bridges in wind-prone regions. In consideration of the effect of wind direction, the stochastic properties of wind field should be represented by a bivariate statistical model of wind speed and direction. This paper presents the construction of the bivariate model of wind speed and direction at the site of a railway arch bridge by use of the long-term structural health monitoring (SHM) data. The wind characteristics are derived by analyzing the real-time wind monitoring data, such as the mean wind speed and direction, turbulence intensity, turbulence integral scale, and power spectral density. A sequential quadratic programming (SQP) algorithm-based finite mixture modeling method is proposed to formulate the joint distribution model of wind speed and direction. For the probability density function (PDF) of wind speed, a double-parameter Weibull distribution function is utilized, and a von Mises distribution function is applied to represent the PDF of wind direction. The SQP algorithm with multi-start points is used to estimate the parameters in the bivariate model, namely Weibull-von Mises mixture model. One-year wind monitoring data are selected to validate the effectiveness of the proposed modeling method. The optimal model is jointly evaluated by the Bayesian information criterion (BIC) and coefficient of determination, $R^2$. The obtained results indicate that the proposed SQP algorithm-based finite mixture modeling method can effectively establish the bivariate model of wind speed and direction. The established bivariate model of wind speed and direction will facilitate the wind-induced fatigue reliability assessment of long-span bridges.

광대역 실측채널모델에서 스마트 안테나를 적용한 W-CDMA 성능분석 (On the W-CDMA system with Smart Antenna over Wideband Realistic Channel Model)

  • 김병학;배형오;김철성
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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    • pp.91-94
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    • 2000
  • In this paper, the performance of the W-CDMA system with smart antenna is investigated. The realistic wideband channel is assumed, one of which is JTC(Joint Technique Committee) channel model. It is also assumed that multipaths are clustered. The beamforming-RAKE receiver structure of W-CDMA system is proposed, whose performance is analyzed on the assumption of perfect channel estimation. The probability density function (pdf) of SINR(Signal to Interference and Noise Ratio) for different number of antennas and users is presented, and the BER(Bit Error Rate) is presented based on that. As a result, the performance of the W-CDMA system with smart antenna in the realistic wideband channel has been considerably improved.

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Kernel PCA를 이용한 GMM 기반의 음성변환 (GMM Based Voice Conversion Using Kernel PCA)

  • 한준희;배재현;오영환
    • 대한음성학회지:말소리
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    • 제67호
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    • pp.167-180
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    • 2008
  • This paper describes a novel spectral envelope conversion method based on Gaussian mixture model (GMM). The core of this paper is rearranging source feature vectors in input space to the transformed feature vectors in feature space for the better modeling of GMM of source and target features. The quality of statistical modeling is dependent on the distribution and the dimension of data. The proposed method transforms both of the distribution and dimension of data and gives us the chance to model the same data with different configuration. Because the converted feature vectors should be on the input space, only source feature vectors are rearranged in the feature space and target feature vectors remain unchanged for the joint pdf of source and target features using KPCA. The experimental result shows that the proposed method outperforms the conventional GMM-based conversion method in various training environment.

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Estimation of Radar Cross Section for a Swerving 1 Target

  • Jung, Young-Hun;Hong, Young-Ho
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 2001년도 춘계학술대회논문집:21세기 신지식정보의 창출
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    • pp.232-236
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    • 2001
  • In this paper, we consider the problem of estimation of average radar cross section (RCS) for Swerling 1 fluctuation model, based on the maximum likelihood (ML) estimation method. In a mathematical development we take into account the event that target strength is lower than detection threshold, or the target is not detected. Our ML estimation for the SWR uses the score function that is the joint probability-pdf of the events and random variables. The solution to the ML estimation reduces to an expression in the from of a contraction mapping. The computational efficiency of the contraction mapping theorem is significant in computing the ML estimation as compared with other root-finding algorithms fur most radar tracking conditions.

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비모수적 기대최대치(NPEM)연산방법에 의한 미국인과 재미동포 충수돌기염 환자에게 겐타마이신의 모집단 약물동태학 (Population Pharmacokinetics for Gentamicin in American and Korean-American Appendicitis Patients Using Nonparametric Expected Maximum(NPEM) Algorithm)

  • 범진필;최준식
    • 약학회지
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    • 제39권2호
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    • pp.103-112
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    • 1995
  • Population pharmacokinetics for gentamicin were compared with 24 American patients (16 male and 8 female) and 16 Korean-American appendicitis patients(12 male and 4 female). Two to six blood specimens were collected from all patients at the following times: just before a regularly scheduled infusion and at 1/2 hour after the end of a 1/2 hour infusion. Nonparametric expected maximum(NPEM) algorithm for population modeling was used. The estimated parameters were the elimination rate constant(K), the slope of the relationship between K versus creatinine clearance(KS), the apparent volume of distribution(V), the slope of the relationship between V versus weight(VS), gentamicin clearance(CL) and the slope of the relationship between CL versus creatinine clearance and the VS(CS). The output includes a 3-dimensional plot of the joint probability density function(PDF), two marginal PDF, means, medians, modes, variance, skewness, kurtosis, and CV%. The mean K(KS) were 0.424$\pm$0.139(0.00429$\pm$0.00164) and 0.411$\pm$0.135 hr$^{-1}$ (0.00475$\pm$0.00180[hr.mL/min/1.73m$^{2}]^{-1}$) for American and Korean-American populations, respectively. The mean V(VS) were not different at 15.6$\pm$4.77(0.233$\pm$0.0526) and 15.1$\pm$3.84L(0.239$\pm$0.0492 L/kg) for American and Korean-American populations, respectively (P>0.2). The mean CL (CS) were 6.28$\pm$1.85(0.0634$\pm$0.0191) and 5.70$\pm$1.77 L/hr(0.0701$\pm$0.0215 L/kg[hr.mL/min/1.73m$^{2}$)] for American and Korean-American populations, respectively. There are no differences in gentamicin pharmacokinetics between American and Korean-American Appendicitis patients.

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셀룰러 시스템의 셀 경계에서의 하향 링크 성능 향상을 위한 Joint SD-MRC 수신 방식 (A Joint SD-MRC Method for Downlink Performance Improvement at Coverage Boundaries of Cellular Systems)

  • 이상대;장재원;성원진
    • 한국전자파학회논문지
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    • 제19권5호
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    • pp.506-514
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    • 2008
  • WiBro 시스템과 같은 최근 통신 시스템에서 대역폭 효율을 증가시키기 위해 모든 셀에서 주파수를 재사용하는 경우, 셀 경계에 위치하는 수신기는 인접 셀로부터 오는 간섭 신호로 인해 수신 성능이 열화된다. 본 논문에서는 셀룰러 시스템에서 셀 경계에서의 하향 링크 성능 향상을 위해, 다수 개의 안테나를 가진 단말기에서 활용할 수 있는 수신 방식을 제안한다. 성능 검증을 위하여 인접 셀의 간섭 신호 세기 및 단말기의 안테나 개수의 변화에 따른 유효 신호 대 간섭 잡음비의 화률 밀도 함수와 대역폭 효율을 산출한다. 제안하는 방식은 MRC(Maximum Ratio Combining) 및 SD(Spatial Multiplexing) 방식 대비 유효 신호 대 간섭 잡음비와 대역폭 효율을 큰 폭으로 향상시킴을 분석 결과로 확인할 수 있으며, 실험을 통해 그 결과를 검증한다.

체결부 및 공차를 고려한 구조물의 확률기반 동적 특성 연구 (Probabilistic Analysis of Dynamic Characteristics of Structures considering Joint Fastening and Tolerance)

  • 원준호;강광진;최주호
    • 한국항공운항학회지
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    • 제18권4호
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    • pp.44-50
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    • 2010
  • Structural vibration is a significant problem in many multi-part or multi-component assemblies. In aircraft industry, structures are composed of various fasteners, such as bolts, snap, hinge, weld or other fastener or connector (collectively "fasteners"). Due to these, prediction and design involving dynamic characteristics is quite complicated. However, the current state of the art does not provide an analytical tool to effectively predict structure's dynamic characteristics, because consideration of structural uncertainties (i.e. material properties, geometric tolerance, dimensional tolerance, environment and so on) is difficult and very small fasteners in the structure cause a huge amount of analysis time to predict dynamic characteristics using the FEM (finite element method). In this study, to resolve the current state of the art, a new approach is proposed using the FEM and probabilistic analysis. Firstly, equivalent elements are developed using simple element (e.g. bar, beam, mass) to replace fasteners' finite element model. Developed equivalent elements enable to explain static behavior and dynamic behavior of the structure. Secondly, probabilistic analysis is applied to evaluate the PDF (probability density function) of dynamic characteristics due to tolerance, material properties and so on. MCS (Monte-Carlo simulation) is employed for this. Proposed methodology offers efficiency of dynamic analysis and reality of the field as well. Simple plates joined by fasteners are taken as an example to illustrate the proposed method.