• 제목/요약/키워드: Estimation of Technology values

검색결과 526건 처리시간 0.024초

Software Effort Estimation in Rapidly Changing Computng Environment

  • Eung S. Jun;Lee, Jae K.
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.133-141
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    • 2001
  • Since the computing environment changes very rapidly, the estimation of software effort is very difficult because it is not easy to collect a sufficient number of relevant cases from the historical data. If we pinpoint the cases, the number of cases becomes too small. However is we adopt too many cases, the relevance declines. So in this paper we attempt to balance the number of cases and relevance. Since many researches on software effort estimation showed that the neural network models perform at least as well as the other approaches, so we selected the neural network model as the basic estimator. We propose a search method that finds the right level of relevant cases for the neural network model. For the selected case set. eliminating the qualitative input factors with the same values can reduce the scale of the neural network model. Since there exists a multitude of combinations of case sets, we need to search for the optimal reduced neural network model and corresponding case, set. To find the quasi-optimal model from the hierarchy of reduced neural network models, we adopted the beam search technique and devised the Case-Set Selection Algorithm. This algorithm can be adopted in the case-adaptive software effort estimation systems.

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Position Estimation of Sound Source Using Three Optical Mach-Zehnder Acoustic Sensor Array

  • Hwang, Jeong-hwan;Seon, Seokpyeong;Park, Chang-Soo
    • Current Optics and Photonics
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    • 제1권6호
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    • pp.573-578
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    • 2017
  • Position estimation of a sound source based on time difference of arrival at an array of three acousto-optic sensors is introduced. Each sensor consists of a Mach-Zehnder interferometer including a sensing part in one arm that is a piece of fiber surrounded by membrane in order to enhance the acousto-optic effect. Estimation error of a recorded gunshot sound signal was evaluated with the theoretically calculated values for two different locations.

전리층 TEC를 이용한 GPS 수신기와 위성의 DCB 추정 (GPS Receiver and Satellite DCB Estimation using Ionospheric TEC)

  • 최병규;조성기;이상정
    • Journal of Astronomy and Space Sciences
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    • 제26권2호
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    • pp.221-228
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    • 2009
  • 한반도 상공의 전리층 총전자수(TEC, Total Electron Content)를 추정하는 방법을 통해 GPS 수신기와 위성의 코드 바이어스(DCB, Differential Code Bias)를 함께 추정하였다. 한국천문연구원에서 운영하고 있는 GPS 기준국망 데이터를 사용하였으며, 가중치 최소자승법을 이용하여 매 1시간 간격으로 DCB를 산출하였다. 총 3일간의 데이터를 처리한 결과 9개 GPS 수신기의 DCB는 ${\pm}2m$ 이내에서 변화하는 것으로 나타났으며, 3일 동안 크게 변하지 않았다. 또한 일일 평균값으로 산출된 위성의 DCB는 최대 약 4.09ns(nano-second), 최소 약 -6.28ns를 갖는 것으로 나타났다. 그리고 산출된 DCB를 전리층 총전자수 산출에 적용한 결과, 적용 전에 비해 특정시점에서 최대 약 9TECU 이상의 총전자수 변화가 검출됨을 확인 할 수 있었다.

A New Sea Trial Method for Estimating Hydrodynamic Derivatives

  • Rhee, Key-Pyo;Kim, Kun-ho
    • Journal of Ship and Ocean Technology
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    • 제3권3호
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    • pp.25-44
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    • 1999
  • Estimation efficiencies according to different sea trial are investigated in connection with sensitivity analysis, and new trial method is proposed which can improve the estimation efficiency of hydrodynamic derivatives. MMG Equation with Kijima's formula is used for simulation. Extended Kalman Filter is chosen for estimation technique and hydrodynamic derivatives of interest is limited to 12 of those in sway and yaw equations. Esso Osaka is selected for the test ship. Sensitivity analysis and estimation results based on conventional trials show that a more sensitive derivative gives more efficient estimation result. Sensitivities of nonlinear derivatives become pronounced in the trial where steady condition lasts longer such as turning test, while sensitivities of linear derivatives gas a larger values in the trial where unsteady condition lasts longer such as 10deg-10deg zigzag test. Consequently, in new method , named S-type trial, steady and unsteady condition are combined appropriately to increase sensitivities. Linear derivatives are estimated better in S-type trial and the estimation of nonlinear derivatives is improved to extent.

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A study on hydrodynamic coefficients estimation of modelling ship using system identification method

  • Kim, Dae-Won;Benedict, Knud;Paschen, Mathias
    • Journal of Advanced Marine Engineering and Technology
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    • 제40권10호
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    • pp.935-941
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    • 2016
  • Predicting and evaluating ship manoeuvring characteristics are very important not only for the design stage, but also for the existing vessels. There are several ways to predict ship's manoeuvrability and most of them are highly connected with the estimation of hydrodynamic coefficients. This paper presents a new estimation method using the system identification with mathematical algorithms for estimating hydrodynamic coefficient in the ship's mathematical model. Specifically a double ended ferry which equips four azimuth propulsion systems were chosen as benchmark ship and a set of benchmark data which is generated in the fast time simulation software was provided to conduct mathematical optimization process. Also the initial values for the optimization were borrowed from the empirical regression formulas of the simulation software of Rheinmetall Defence ship simulator. Therefore the newly suggested mathematical optimization algorithm gave a successful result for estimation hydrodynamic coefficients. Proper optimization conditions of the objective function and constraints were also verified during the study.

Inverse active wind load inputs estimation of the multilayer shearing stress structure

  • Chen, Tsung-Chien;Lee, Ming-Hui
    • Wind and Structures
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    • 제11권1호
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    • pp.19-33
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    • 2008
  • This research investigates the adaptive input estimation method applied to the multilayer shearing stress structure. This method is to estimate the values of wind load inputs by analyzing the active reaction of the system. The Kalman filter without the input term and the adaptive weighted recursive least square estimator are two main portions of this method. The innovation vector can be produced by the Kalman filter, and be applied to the adaptive weighted recursive least square estimator to estimate the wind load input over time. This combined method can effectively estimate the wind loads to the structure system to enhance the reliability of the system active performance analysis. The forms of the simulated inputs (loads) in this paper include the periodic sinusoidal wave, the decaying exponent, the random combination of the sinusoidal wave and the decaying exponent, etc. The active reaction computed plus the simulation error is regard as the simulated measurement and is applied to the input estimation algorithm to implement the numerical simulation of the inverse input estimation process. The availability and the precision of the input estimation method proposed in this research can be verified by comparing the actual value and the one obtained by numerical simulation.

Adaptive Video Streaming over HTTP with Dynamic Resource Estimation

  • Thang, Truong Cong;Le, Hung T.;Nguyen, Hoc X.;Pham, Anh T.;Kang, Jung Won;Ro, Yong Man
    • Journal of Communications and Networks
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    • 제15권6호
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    • pp.635-644
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    • 2013
  • Adaptive hypertext transfer protocol (HTTP) streaming has become a new trend to support adaptivity in video delivery. An HTTP streaming client needs to estimate exactly resource availability and resource demand. In this paper, we focus on the most important resource which is bandwidth. A new and general formulation for throughput estimation is presented taking into account previous values of instant throughput and round trip time. Besides, we introduce for the first time the use of bitrate estimation in HTTP streaming. The experiments show that our approach can effectively cope with drastic changes in connection throughput and video bitrate.

An investigation into the application of fractals for rock roughness estimation

  • Pal S. K.;Chakravarty D.
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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    • pp.66-71
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    • 2003
  • Profiles of naturally fractured surfaces of three sedimentary rock samples were plotted from the measured data using a mechanical profilometer. Fractal dimension of these profiles were computed and statistical F-test indicates that fractal dimension (FD) values can be used as a parameter for distinguishing the rock types. The comparison between FD values and a commonly used profile-roughness parameter called the Mayer's $Z_2$ parameter shows the superiority of the FD values as roughness estimator. Two-dimensional fractal roughness parameters of the same naturally fractured rock surfaces were also studied from their scanning electron microscopic (SEM) images at various magnification levels. The most suitable level of magnification of the SEM images for the study of the 2-D fractal roughness parameter was identified. The values of 2-D fractal roughness parameter for three different rocks were also compared using different methods of fractal dimensioning.

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Design of Time-varying Stochastic Process with Dynamic Bayesian Networks

  • Cho, Hyun-Cheol;Fadali, M.Sami;Lee, Kwon-Soon
    • Journal of Electrical Engineering and Technology
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    • 제2권4호
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    • pp.543-548
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    • 2007
  • We present a dynamic Bayesian network (DBN) model of a generalized class of nonstationary birth-death processes. The model includes birth and death rate parameters that are randomly selected from a known discrete set of values. We present an on-line algorithm to obtain optimal estimates of the parameters. We provide a simulation of real-time characterization of load traffic estimation using our DBN approach.

Determining the target strength bambood wrasse (Pseudolabrus japonicus) using Kirchhoff-ray mode

  • Kusdinar, Afriana;Hwang, Bo-Kyu;Shin, Hyeon-Ok
    • 수산해양기술연구
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    • 제50권4호
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    • pp.427-434
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    • 2014
  • Although ex situ target strength (TS) measurements using dual- and split-beam systems have become the primary approach of estimating fish abundance, theoretical model estimation is a powerful tool for verifying the measurements, as well as for providing values when making direct measurements is difficult. TS values for 20 samples of live bambooleaf wrasse (Pseudolabrus japonicus) whose target length (TL) ranged between 13.7 and 21.3 cm were estimated theoretically using the Kirchhoff-ray mode model, and the TS values for 18 live fish samples were additionally measured at ${\sim}0^{\circ}$ tilt angle to the swimming aspect using a tethered method at a frequency of 120 kHz to verify the theoretical values. The digitizing intervals used to extract the fish body and swim bladder morphology in the X-ray photographs significantly affected the calculated TS patterns, but variations based on the speed of sound and density ratio values for the general range of fish flesh were relatively small (within 1 dB). Close agreement was observed between the measured and theoretical TS values, and the correlation between the average TS and body length of the fish could be calculated accurately as <$TS_{120kHz}$>= 20logTL (cm) -71.6 using the theoretical method.