• Title/Summary/Keyword: empirical ratio

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Analysis of the two dimensional sheet debris flight equations: initial and final state

  • Scarabino, A.;Giacopinelli, P.
    • Wind and Structures
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    • v.13 no.2
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    • pp.109-125
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    • 2010
  • This work presents some analytical and numerical results of a dynamic analysis of the dimensionless 2-D sheet flight equations. Two empirical models for aerodynamic forces and moments are used and compared. Results show that the initial condition of rest is always unstable, and for long times three distinct flight regimes are possible, depending on the initial angle of attack, the Tachikawa number, Ta (in fact, the parameter chosen was its inverse, ${\Omega}$), and a mass ratio ${\Phi}$. The final orbits in the velocity space and their maximum kinetic energy are compared with a theoretical asymptotic state of the motion equations, and some design considerations are proposed.

Analytical Rapid Prediction of Tsunami Run-up Heights: Application to 2010 Chilean Tsunami

  • Choi, Byung Ho;Kim, Kyeong Ok;Yuk, Jin-Hee;Kaistrenko, Victor;Pelinovsky, Efim
    • Ocean and Polar Research
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    • v.37 no.1
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    • pp.1-9
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    • 2015
  • An approach based on the combined use of a 2D shallow water model and analytical 1D long wave run-up theory is proposed which facilitates the forecasting of tsunami run-up heights in a more rapid way, compared with the statistical or empirical run-up ratio method or resorting to complicated coastal inundation models. Its application is advantageous for long-term tsunami predictions based on the modeling of many prognostic tsunami scenarios. The modeling of the Chilean tsunami on February 27, 2010 has been performed, and the estimations of run-up heights are found to be in good agreement with available observations.

Experimental Study on Characteristics of Two-Phase Flow through a Bypass Orifice Expansion Device

  • Choi, Jong-Min;Kim, Yong-Chan
    • International Journal of Air-Conditioning and Refrigeration
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    • v.9 no.1
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    • pp.11-19
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    • 2001
  • To establish optimum cycle of the inverter-driven heat pump with a variation of frequency, the bypass orifice, which was a short tube haying a bypass hole in the middle, was designed and tested. Flow characteristics of the bypass orifice were measured as a function of orifice geometry and operating conditions. Flow trends with respect to frequency were compared with those of short tube orifices and capillary tubes. Generally, the bypass orifice showed the best flow trends among them. and it would enhance the seasonal energy efficiency ratio of an inverter heat pump system, Based on experimental data, a semi-empirical flow model was developed to predict mass flow rate through bypass orifices. The maximum difference between measured data and model`s prediction was within $\pm$5%.

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Quantitative Comparison of Probabilistic Multi-source Spatial Data Integration Models for Landslide Hazard Assessment

  • Park No-Wook;Chi Kwang-Hoon;Chung Chang-Jo F.;Kwon Byung-Doo
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.622-625
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    • 2004
  • This paper presents multi-source spatial data integration models based on probability theory for landslide hazard assessment. Four probabilistic models such as empirical likelihood ratio estimation, logistic regression, generalized additive and predictive discriminant models are proposed and applied. The models proposed here are theoretically based on statistical relationships between landslide occurrences and input spatial data sets. Those models especially have the advantage of direct use of continuous data without any information loss. A case study from the Gangneung area, Korea was carried out to quantitatively assess those four models and to discuss operational issues.

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Nonparametric tests of parallelism aginst umbrella alternatives of slopes in k-regression lines (k개의 회귀직선에서 기울기들의 우산형 대립가설에 대한 평행성의 비모수 검정법에 관한 연구)

  • 김동희;임동훈
    • The Korean Journal of Applied Statistics
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    • v.7 no.1
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    • pp.19-34
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    • 1994
  • In this paper we propose nonparametric tests of parallelism against umbrella alternatives of slopes in k-regression lines and investigate the asymptotic properties of the proposed test statistics. For the known peak and unknown peak, we suggest the test statistics and show that, from Monte Carlo study, the proposed test statistics have good empirical powers for heavy tailed distributions than the likelihood ratio tests.

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Initial Configuration Layout Design for 95-Seat Regional Turboprop Aircraft

  • Hwang, In Seong;Chung, Jindeog;Kang, Wanggu;Lee, Hae-Chang
    • International Journal of Aeronautical and Space Sciences
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    • v.15 no.2
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    • pp.138-145
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    • 2014
  • The initial configuration for 95-seat passenger regional turboprop aircraft, the so called KC950, was designed to meet the market requirements. This paper prescribes the initial design based upon aircraft design guidelines and compared the competitive aircraft configurations after considering the related FAR 25 regulations. More specifically, results of design describe how to select the fuselage cross-sectional area, how to layout the cabin, and how to determine the overall shape and physical dimension of the fuselage. Sizing of wing and empennage areas is estimated using empirical equations and tail volume coefficients in this design. Some design guidelines to determine wing sweep angle, taper ratio, incidence angle and location are also introduced.

An Examination of Fault Exposure Rate of Switching Software of TDX Series from Empirical failure data (선험적 고장 데이터에 의한 TDX 계열 교환 소프트웨어의 결함 검출율 분석)

  • 이재기;신상권;홍성백
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.3
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    • pp.27-35
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    • 1999
  • 소프트웨어의 결함 검출율(FER : Fault Exposure Ratio)은 소프트웨어에 대한 시험의 효율성과 고장 당결함 발생율(per fault hazard rate)을 제어하는데 매우 중요한 요소이다. 특히 시험이 불규칙적으로 수행될 때 고장 발견은 더욱 어려워진다. 시험이 종료되는 단계에서 소프트웨어 결함 검출율이 낮은 경우는 시험의 유효성을 기대하기 어렵기 때문이다 일반적으로 결함 검출율(K)이 점차 높아지는 시험 종료 단계에서는 Random Test 보다는 강도 높은 실 시험이 수행되기 때문이다. 이런 가정하에 본 논문에서는 TDX 교환 소프트웨어의 결함 검출율을 추정하여 이를 기반으로 한 ATM 소프트웨어의 결함 검출율을 예측하고 또한 소프트웨어 신뢰도가 향상되어 가는 과정에 대해 논했다..

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Prediction of Thermal Decomposition Temperature of Polymers Using QSPR Methods

  • Ajloo, Davood;Sharifian, Ali;Behniafar, Hossein
    • Bulletin of the Korean Chemical Society
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    • v.29 no.10
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    • pp.2009-2016
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    • 2008
  • The relationship between thermal decomposition temperature and structure of a new data set of eighty monomers of different polymers were studied by multiple linear regression (MLR). The stepwise method was used in order to variable selection. The best descriptors were selected from over 1400 descriptors including; topological, geometrical, electronic and hybrid descriptors. The effect of number of descriptors on the correlation coefficient (R) and F-ratio were considered. Two models were suggested, one model having four descriptors ($R^2$ = 0.894, $Q^2_{cv}$ = 0.900, F = 172.1) and other model involving 13 descriptors ($R^2$ = 0.956, $Q^2_{cv}$ = 0.956, F = 125.4).

A Study on Shear Strength of RC Slender Beams Using Non-Bernoulli Compatibility Truss Model (NBCTM) (비-베르누이 적합 트러스 모델을 이용한 RC보의 전단강도 예측)

  • 정제평;김대중;모귀석;김우
    • Proceedings of the Korea Concrete Institute Conference
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    • 2003.11a
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    • pp.229-233
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    • 2003
  • This paper describes a practical formulation of Non-Bernoulli-Compatibility Truss Model. Not only equilibrium conditions but also some approximations are employed to solve for the unknowns included in the proposed model. By assuming that the ratio of $V_a$ to V remains to be constant along the shear span, the relationship between $\alpha$ and z is mathematically established as an arch shape function. $V_m$ is also approximated to be an empirical value that is equal to the least membrane shear strength. The coefficient a is made utilizing a nonlinear finite element analysis. The adequacy of the model is examined by test results available in literatures, and the predicted values are shown to be in excellent agreement with the experimental results.

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The network model for Detection Systems based on data mining and the false errors

  • Lee Se-Yul;Kim Yong-Soo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.6 no.2
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    • pp.173-177
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    • 2006
  • This paper investigates the asymmetric costs of false errors to enhance the detection systems performance. The proposed method utilizes the network model to consider the cost ratio of false errors. By comparing false positive errors with false negative errors this scheme achieved better performance on the view point of both security and system performance objectives. The results of our empirical experiment show that the network model provides high accuracy in detection. In addition, the simulation results show that effectiveness of probe detection is enhanced by considering the costs of false errors.