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Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Robust likelihood inference for regression parameters in partially linear models  

Science Conference Proceedings (OSTI)

A robust likelihood approach is proposed for inference about regression parameters in partially-linear models. More specifically, normality is adopted as the working model and is properly corrected to accomplish the objective. Knowledge about the true ... Keywords: Generalized additive models, Partially-linear models, Robust likelihood

Chung-Wei Shen; Tsung-Shan Tsou; N. Balakrishnan

2011-04-01T23:59:59.000Z

2

Robust mixture linear EIV regression models by t-distribution.  

E-Print Network (OSTI)

??A robust estimation procedure for mixture errors-in-variables linear regression models is proposed in the report by assuming the error terms follow a t-distribution. The estimation… (more)

Liu, Yantong

2012-01-01T23:59:59.000Z

3

A variable spread fuzzy linear regression model with higher explanatory power and forecasting accuracy  

Science Conference Proceedings (OSTI)

Fuzzy regression models have been applied to operational research (OR) applications such as forecasting. Some of previous studies on fuzzy regression analysis obtain crisp regression coefficients for eliminating the problem of increasing spreads for ... Keywords: Forecasting, Fuzzy inference, Fuzzy sets, Linear regression, Mathematical programming

Shih-Pin Chen; Jr-Fong Dang

2008-10-01T23:59:59.000Z

4

Optimal Policies and Approximations for a Bayesian Linear Regression Inventory Model  

Science Conference Proceedings (OSTI)

In this paper, we consider a periodic review inventory problem where demand in each period is modeled by linear regression. We use a Bayesian formulation to update the regression parameters as new information becomes available. We find that a state-dependent ... Keywords: Bayesian regression, approximations heuristics, inventory production, stochastic models

Katy S. Azoury; Julia Miyaoka

2009-05-01T23:59:59.000Z

5

Open source software maturity model based on linear regression and Bayesian analysis  

E-Print Network (OSTI)

Open Source Software (OSS) is widely used and is becoming a significant and irreplaceable part of the software engineering community. Today a huge number of OSS exist. This becomes a problem if one needs to choose from such a large pool of OSS candidates in the same category. An OSS maturity model that facilitates the software assessment and helps users to make a decision is needed. A few maturity models have been proposed in the past. However, the parameters in the model are assigned not based on experimental data but on human experiences, feelings and judgments. These models are subjective and can provide only limited guidance for the users at the best. This dissertation has proposed a quantitative and objective model which is built from the statistical perspective. In this model, seven metrics are chosen as criteria for OSS evaluation. A linear multiple-regression model is created to assign a final score based on these seven metrics. This final score provides a convenient and objective way for the users to make a decision. The coefficients in the linear multiple-regression model are calculated from 43 OSS. From the statistical perspective, these coefficients are considered random variables. The joint distribution of the coefficients is discussed based on Bayesian statistics. More importantly, an updating rule is established through Bayesian analysis to improve the joint distribution, and thus the objectivity of the coefficients in the linear multiple-regression model, according to new incoming data. The updating rule provides the model the ability to learn and improve itself continually.

Zhang, Dongmin

2007-08-01T23:59:59.000Z

6

A general approach to heteroscedastic linear regression  

Science Conference Proceedings (OSTI)

Our article presents a general treatment of the linear regression model, in which the error distribution is modelled nonparametrically and the error variances may be heteroscedastic, thus eliminating the need to transform the dependent variable in many ... Keywords: Density estimation, Dirichlet process mixture, Heteroscedasticity, Model checking, Nonparametric regression, Variable selection

David S. Leslie; Robert Kohn; David J. Nott

2007-06-01T23:59:59.000Z

7

Regional residual plots for assessing the fit of linear regression models  

Science Conference Proceedings (OSTI)

An intuitively appealing lack-of-fit test to assess the adequacy of a regression model is introduced together with a graphical diagnostic tool. The graphical method itself includes a formal testing procedure, and, it is particularly useful to detect ... Keywords: Diagnostic tool, Graphical method, Lack-of-fit, Multiple regression

E. Deschepper; O. Thas; J. P. Ottoy

2006-04-01T23:59:59.000Z

8

Solving Fuzzy Linear Regression with Hybrid Optimization  

Science Conference Proceedings (OSTI)

Fuzzy linear regression is an important tool to find the linear inexact relationship between uncertain data. We then propose a hybrid optimization method based on tabu search and harmony search as a potential way of solving fuzzy linear regression. The ... Keywords: Fuzzy linear regression, Harmony search, Hybrid optimization, Tabu search

M. H. Mashinchi; M. A. Orgun; M. Mashinchi

2009-12-01T23:59:59.000Z

9

In-situ prediction on sensor networks using distributed multiple linear regression models  

E-Print Network (OSTI)

Within sensor networks for environmental monitoring, a class of problems exists that requires in-situ control and modeling. In this thesis, we provide a solution to these problems, enabling model-driven computation where ...

Basha, Elizabeth (Elizabeth Ann)

2010-01-01T23:59:59.000Z

10

Testing model assumptions in functional regression models  

Science Conference Proceedings (OSTI)

In the functional regression model where the responses are curves, new tests for the functional form of the regression and the variance function are proposed, which are based on a stochastic process estimating L^2-distances. Our approach avoids the explicit ... Keywords: 62G10, Functional data, Goodness-of-fit tests, Parametric bootstrap, Tests for heteroscedasticity

Axel Bücher; Holger Dette; Gabriele Wieczorek

2011-11-01T23:59:59.000Z

11

A multivariate linear regression analysis using finite mixtures of t distributions  

Science Conference Proceedings (OSTI)

Recently, finite mixture models have been used to model the distribution of the error terms in multivariate linear regression analysis. In particular, Gaussian mixture models have been employed. A novel approach that assumes that the error terms follow ... Keywords: EM algorithm, Maximum likelihood, Model identifiability, Non-normal error distribution, Unobserved heterogeneity

Giuliano Galimberti, Gabriele Soffritti

2014-03-01T23:59:59.000Z

12

Nonlinear regression model generation using hyperparameter optimization  

Science Conference Proceedings (OSTI)

An algorithm of the inductive model generation and model selection is proposed to solve the problem of automatic construction of regression models. A regression model is an admissible superposition of smooth functions given by experts. Coherent Bayesian ... Keywords: Coherent Bayesian inference, Hyperparameters, Model generation, Model selection, Regression

Vadim Strijov; Gerhard Wilhelm Weber

2010-08-01T23:59:59.000Z

13

Prediction of Boiler Output Variables Through the PLS Linear Regression Technique  

E-Print Network (OSTI)

Abstract: In this work, we propose to use the linear regression partial least square method to predict the output variables of the RA1G boiler. This method consists in finding the regression of an output block regarding an input block. These two blocks represent the outputs and inputs of the process. A criteria of cross validation, based on the calculation of the predicted residual sum of squares, is used to select the components of the model in the partial least square regression. The obtained results illustrate the effectiveness of this method for prediction purposes.

Abdelmalek Kouadri; Mimoun Zelmat; Alhussein Albarbar

2008-01-01T23:59:59.000Z

14

Model selection for Gaussian regression with  

E-Print Network (OSTI)

Model selection for Gaussian regression with random design Lucien Birg´e Universit´e Paris VI and U of the L2-distance allows to recover the usual rates and to perform model selection in great generality 62G07. Key words and phrases. Random design regression, model selection, Hellinger distance, minimax

Université Pierre-et-Marie-Curie, Paris 6

15

Significance Tests for Regression Model Hierarchies  

Science Conference Proceedings (OSTI)

Methods of estimating the significance of optimal regression models selected from a model hierarchy proposed by Barnett and Hasselmann (1979) are reexamined allowing for the multiple-candidate nature of the selection criteria. It is found that ...

T. P. Barnett; R. W. Preisendorfer; L. M. Goldstein; K. Hasselmann

1981-08-01T23:59:59.000Z

16

Volumetric stem biomass modelling using multiple regression  

Science Conference Proceedings (OSTI)

This paper presented the development of a simple model for obtaining the stem volume of a tropical tree species, that is, Cinnamomum iners based on the two volumetric equations, namely, the Huber's and Newton's equations. Variables considered during ... Keywords: best model, correlation tests, interactions, multiple regression, selection criteria, stem volume, volumetric equations

Noraini Abdullah; Zainodin Hj. Jubok; J. B. Nigel Jonney

2007-12-01T23:59:59.000Z

17

Piecewise Linear Modeling: Theory, Guidelines, and Applications  

E-Print Network (OSTI)

Statistical analysis underlies most published research in every scientific field of study. A common statistical tool for the analysis of cross-sectional data is the general linear model, or multiple regression. For the analysis of time series data, the most commonly employed tool is autoregressive integrated moving averages (ARIMA), which also is implicitly linear.

Kenneth O. Cogger

2006-01-01T23:59:59.000Z

18

Regression modeling method of space weather prediction  

E-Print Network (OSTI)

A regression modeling method of space weather prediction is proposed. It allows forecasting Dst index up to 6 hours ahead with about 90% correlation. It can also be used for constructing phenomenological models of interaction between the solar wind and the magnetosphere. With its help two new geoeffective parameters were found: latitudinal and longitudinal flow angles of the solar wind. It was shown that Dst index remembers its previous values for 2000 hours.

Parnowski, Aleksei

2009-01-01T23:59:59.000Z

19

An algorithm for the estimation of a regression function by continuous piecewise linear functions  

Science Conference Proceedings (OSTI)

The problem of the estimation of a regression function by continuous piecewise linear functions is formulated as a nonconvex, nonsmooth optimization problem. Estimates are defined by minimization of the empirical L 2 risk over a ... Keywords: Nonparametric regression, Nonsmooth optimization, Semismooth functions, Subdifferential

Adil Bagirov; Conny Clausen; Michael Kohler

2010-01-01T23:59:59.000Z

20

Application of dynamic linear regression to improve the skill of ensemble-based deterministic ozone forecasts  

SciTech Connect

Forecasts from seven air quality models and surface ozone data collected over the eastern USA and southern Canada during July and August 2004 provide a unique opportunity to assess benefits of ensemble-based ozone forecasting and devise methods to improve ozone forecasts. In this investigation, past forecasts from the ensemble of models and hourly surface ozone measurements at over 350 sites are used to issue deterministic 24-h forecasts using a method based on dynamic linear regression. Forecasts of hourly ozone concentrations as well as maximum daily 8-h and 1-h averaged concentrations are considered. It is shown that the forecasts issued with the application of this method have reduced bias and root mean square error and better overall performance scores than any of the ensemble members and the ensemble average. Performance of the method is similar to another method based on linear regression described previously by Pagowski et al., but unlike the latter, the current method does not require measurements from multiple monitors since it operates on individual time series. Improvement in the forecasts can be easily implemented and requires minimal computational cost.

Pagowski, M O; Grell, G A; Devenyi, D; Peckham, S E; McKeen, S A; Gong, W; Monache, L D; McHenry, J N; McQueen, J; Lee, P

2006-02-02T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Testing for causal e ffects in a generalized regression model with endogenous regressors  

E-Print Network (OSTI)

A unifying framework to test for causal effects in nonlinear models is proposed. We consider a generalized linear-index regression model with endogenous regressors and no parametric assumptions on the error disturbances. ...

Abrevaya, Jason

22

Dirichlet Process Mixtures of Generalized Linear Models  

Science Conference Proceedings (OSTI)

We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLM), a new class of methods for nonparametric regression. Given a data set of input-response pairs, the DP-GLM produces a global model of the joint distribution through a mixture ...

Lauren A. Hannah; David M. Blei; Warren B. Powell

2011-02-01T23:59:59.000Z

23

Linear Solar Models  

E-Print Network (OSTI)

We present a new approach to study the properties of the sun. We consider small variations of the physical and chemical properties of the sun with respect to Standard Solar Model predictions and we linearize the structure equations to relate them to the properties of the solar plasma. By assuming that the (variation of) the present solar composition can be estimated from the (variation of) the nuclear reaction rates and elemental diffusion efficiency in the present sun, we obtain a linear system of ordinary differential equations which can be used to calculate the response of the sun to an arbitrary modification of the input parameters (opacity, cross sections, etc.). This new approach is intended to be a complement to the traditional methods for solar model calculation and allows to investigate in a more efficient and transparent way the role of parameters and assumptions in solar model construction. We verify that these Linear Solar Models recover the predictions of the traditional solar models with an high...

Villante, F L

2009-01-01T23:59:59.000Z

24

Piecewise Linear Modeling and Analysis  

Science Conference Proceedings (OSTI)

From the Publisher:Piecewise Linear Modeling and Analysis explains in detail all possible model descriptions to efficiently store piecewise linear functions starting with the Chua descriptions. Detailed explanation on how the model parameter can be obtained ...

Domine M. W. Leenaerts; Wim M. Van Bokhoven

1998-07-01T23:59:59.000Z

25

?1-penalized quantile regression in high-dimensional sparse models  

E-Print Network (OSTI)

We consider median regression and, more generally, a possibly infinite collection of quantile regressions in high-dimensional sparse models. In these models, the number of regressors p is very large, possibly larger than ...

Belloni, Alexandre

26

Predicting Daily Maximum Temperatures Using Linear Regression and Eta Geopotential Thickness Forecasts  

Science Conference Proceedings (OSTI)

The relationship between forecast geopotential thickness and observed maximum temperature is investigated, and regression equations are calculated using numerical model thickness forecasts for Nashville. Model thickness forecast accuracy is shown ...

Darrell R. Massie; Mark A. Rose

1997-12-01T23:59:59.000Z

27

A Sparse Regression Mixture Model for Clustering Time-Series  

Science Conference Proceedings (OSTI)

In this study we present a new sparse polynomial regression mixture model for fitting time series. The contribution of this work is the introduction of a smoothing prior over component regression coefficients through a Bayesian framework. This is done ... Keywords: Clustering time-series, Expectation-Maximization (EM) algorithm, Regression mixture model, sparse prior

K. Blekas; Nikolaos Galatsanos; A. Likas

2008-10-01T23:59:59.000Z

28

Semiparametrically weighted robust estimation of regression models  

Science Conference Proceedings (OSTI)

A class of two-step robust regression estimators that achieve a high relative efficiency for data from light-tailed, heavy-tailed, and contaminated distributions irrespective of the sample size is proposed and studied. In particular, the least weighted ... Keywords: Adaptive estimation, Asymptotic efficiency, Breakdown point, Least weighted squares

Pavel íek

2011-01-01T23:59:59.000Z

29

Jackknife empirical likelihood tests for error distributions in regression models  

Science Conference Proceedings (OSTI)

Regression models are commonly used to model the relationship between responses and covariates. For testing the error distribution, some classical test statistics such as Kolmogorov-Smirnov test and Cramer-von-Mises test suffer from the complicated limiting ... Keywords: Goodness-of-fit test, Jackknife empirical Likelihood method, Regression model, primary

Huijun Feng; Liang Peng

2012-11-01T23:59:59.000Z

30

Deterministic regression model and visual basic code for optimal forecasting of financial time series  

Science Conference Proceedings (OSTI)

A new, non-statistical method is presented for analysis of the past history and current evolution of economic and financial processes. The method is based on the sliding model approach using linear differential or difference equations applied to discrete ... Keywords: Optimal forecasting in finance, Sliding deterministic regression models

Alejandro Balbás; Beatriz Balbás; Inna Galperin; Efim Galperin

2008-11-01T23:59:59.000Z

31

Improved estimators for a general class of beta regression models  

Science Conference Proceedings (OSTI)

In this article, we extend the beta regression model proposed by Ferrari and Cribari-Neto (2004), which is generally useful in situations where the response is restricted to the standard unit interval in two different ways: we let the regression structure ...

Alexandre B. Simas; Wagner Barreto-Souza; Andréa V. Rocha

2010-02-01T23:59:59.000Z

32

Multiple regression models of the volumetric stem biomass  

Science Conference Proceedings (OSTI)

The development of a simple model was presented for obtaining the volumetric stem biomass of a tropical tree species. To model the volumetric stem biomass, Cinnamomum of family Lauracea was chosen. Mensuration data were collected based on two volumetric ... Keywords: best model, correlation tests, interactions, multiple regression, selection criteria, stem volume, volumetric equations

Noraini Abdullah; Zainodin H. J. Jubok; J. B. Nigel Jonney

2008-07-01T23:59:59.000Z

33

B-spline nonparametric regression models and information criteria  

E-Print Network (OSTI)

Abstract. We consider the use of B-spline nonparametric regression models to analyze data with complex structure. The essential points of model construction in B-splines are the choice of the smoothing parameter and the number of basis functions. We investigate this problem from an information theoretic point of view and introduce a criterion as an estimator of Kullback-Leibler information. We also introduce B-spline nonlinear regression model with discontinuities or with heterogeneous error variances, and apply it to estimate the change points. Real data examples and numerical comparisons are used to examine the properties of the proposed method. Key words and phrases: Nonparametric regression, B-spline, Smoothing parameter, Information criteria, Change point.

Seiya Imoto; Sadanori Konishi

2000-01-01T23:59:59.000Z

34

Application and Comparison of Robust Linear Regression Methods for Trend Estimation  

Science Conference Proceedings (OSTI)

In this study, robust parametric regression methods are applied to temperature and precipitation time series in Switzerland and the trend results are compared with trends from classical least squares (LS) regression and nonparametric approaches. ...

Andreas Muhlbauer; Peter Spichtinger; Ulrike Lohmann

2009-09-01T23:59:59.000Z

35

A linear merging methodology for high-resolution precipitation products using spatiotemporal regression  

SciTech Connect

Currently, the only viable option for a global precipitation product is the merger of several precipitation products from different modalities. In this article, we develop a linear merging methodology based on spatiotemporal regression. Four highresolution precipitation products (HRPPs), obtained through methods including the Climate Prediction Center's Morphing (CMORPH), Geostationary Operational Environmental Satellite-Based Auto-Estimator (GOES-AE), GOES-Based Hydro-Estimator (GOES-HE) and Self-Calibrating Multivariate Precipitation Retrieval (SCAMPR) algorithms, are used in this study. The merged data are evaluated against the Arkansas Red Basin River Forecast Center's (ABRFC's) ground-based rainfall product. The evaluation is performed using the Heidke skill score (HSS) for four seasons, from summer 2007 to spring 2008, and for two different rainfall detection thresholds. It is shown that the merged data outperform all the other products in seven out of eight cases. A key innovation of this machine learning method is that only 6% of the validation data are used for the initial training. The sensitivity of the algorithm to location, distribution of training data, selection of input data sets and seasons is also analysed and presented.

Turlapaty, Anish C. [Mississippi State University (MSU); Younan, Nicolas H. [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL

2012-01-01T23:59:59.000Z

36

Fuzzy regression model of R&D project evaluation  

Science Conference Proceedings (OSTI)

Engineering and technology play an important role in strengthening the competitive power of a company and in surviving a severe competition in the world. About 70% of the total R&D investment in Japan comes from the private sector. It is the most important ... Keywords: AHP, Fuzzy regression model, Management of technology and engineering, Project management, R&D

Shinji Imoto; Yoshiyuki Yabuuchi; Junzo Watada

2008-06-01T23:59:59.000Z

37

Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis  

Science Conference Proceedings (OSTI)

A dynamic physical system often undergoes phase transitions in response to fluctuations induced on system parameters. For example, hurricane activity is the climate system's response initiated by a liquid-vapor phase transition associated with non-linearly ... Keywords: Anomaly detection, Rainfall prediction, Tropical cyclone prediction, spatio-temporal data mining, regression, classification

Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick Semazzi, Vipin Kumar, Anatoli Melechko, Nagiza F. Samatova

2012-12-01T23:59:59.000Z

38

Applicability of Regression Technique for Physical Modeling: A case study on Adsorption in Wastewater Treatment  

E-Print Network (OSTI)

The reliability of Physical Modeling in applications such as Adsorption and Heat transfer studies is not accurate since their mechanisms are complex and a proper understanding of the physics of the system is incomplete. In order to verify the applicability of Regression technique for Physical Modeling, a physical model is developed based on Multiple regression technique to predict the Pollutant Removal efficiency of fluoride in adsorption studies. Two sets of data points are collected viz., of twenty-one points consisting of homogeneous data with respect to adsorbent and of forty-eight points (heterogeneous data, including the above twenty-one points) and tested with the model. Results showed that, the physical model is giving encouraging results for homogeneous data (Standard Deviation (SD): 0.157) but is giving erratic results (SD: 0.361) for the heterogeneous data. The heterogeneous data consists of non-linear adsorption data, which the model could not predict accurately indicating that, the Regression technique holds a limitation in understanding the physics of the system. Novel techniques such as ANN can be used to predict the output from the data set with better accuracy than that using Regression technique. Back propagation Network of ANN is used as a test trial for the above database and the results are encouraging (SD: 0.29) with respect to heterogeneous data.

B. V. Babu; V. Ramakrishna

2002-01-01T23:59:59.000Z

39

Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple-Linear Inverse Building Energy Analysis Models, ASHRAE Research Project 1050-RP, Final Report  

E-Print Network (OSTI)

This report summarizes the results of ASHRAE Research Project 1050: Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple Linear Inverse Building Energy Analysis Models. The Inverse Modeling Toolkit (WIT) is a FORTRAN 90 application for developing regression models of building energy use. IMT can identify single and multi-variable least-squares regression models. It can also identify variable-base degree-day and single and multi-variable change-point models, which have been shown to be especially useful for modeling building energy use. This report includes background information about IMT and the models, instructions for its installation and operation, and the results of accuracy and robustness testing.

Kissock, J. K.; Haberl, J. S.; Claridge, D. E.

2002-11-01T23:59:59.000Z

40

?[subscript 1]-penalized quantile regression in high-dimensional sparse models  

E-Print Network (OSTI)

We consider median regression and, more generally, a possibly infinite collection of quantile regressions in high-dimensional sparse models. In these models, the number of regressors p is very large, possibly larger than ...

Belloni, Alexandre

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Combining quasi and empirical likelihoods in generalized linear models with missing responses  

Science Conference Proceedings (OSTI)

By only specifying the conditional mean and variance functions of the response variable given covariates, the quasi-likelihood can produce valid semiparametric inference for regression parameter in generalized linear models (GLMs). However, in many studies, ... Keywords: 62F12, 62F30, 62G10, Auxiliary information, Combined quasi and empirical likelihood, Generalized linear models, Missing responses, Wilks' theorem

Tianqing Liu; Xiaohui Yuan

2012-10-01T23:59:59.000Z

42

Regression Models for Demand Reduction based on Cluster Analysis...  

NLE Websites -- All DOE Office Websites (Extended Search)

respect to the validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial...

43

Insight into the Properties of the UK Power Consumption Using a Linear Regression and Wavelet Transform Approach  

E-Print Network (OSTI)

In this paper, the relationship between the Gross Domestic Product (GDP), air temperature variations and power consumption is evaluated using the linear regression and Wavelet Coherence (WTC) approach on a 1971-2011 time series for the United Kingdom (UK). The results based on the linear regression approach indicate that some 66% variability of the UK electricity demand can be explained by the quarterly GDP variations, while only 11% of the quarterly changes of the UK electricity demand are caused by seasonal air temperature variations. WTC however, can detect the period of time when GDP and air temperature significantly correlate with electricity demand and the results of the wavelet correlation at different time scales indicate that a significant correlation is to be found on a long-term basis for GDP and on an annual basis for seasonal air-temperature variations. This approach provides an insight into the properties of the impact of the main factors on power consumption on the basis of which the power syst...

Avdakovic, Samir; Nuhanovic, Amir

2013-01-01T23:59:59.000Z

44

Quantile approximations in auto-regressive portfolio models  

Science Conference Proceedings (OSTI)

This paper develops an analytical approximation for the distribution function of a terminal value of a periodic series of buy-and-hold investments placed over a fixed time horizon for the case when log-returns of assets follow a p-th order vector auto-regressive ... Keywords: Multi-period portfolio return, Taylor conditioned approximation, Vector auto-regressive returns

Aleš Ah?an; Igor Masten; Sašo Polanec; Mihael Perman

2011-02-01T23:59:59.000Z

45

Multi-Anticipative Piecewise-Linear Car-Following Model  

E-Print Network (OSTI)

We propose in this article an extension of the piecewise linear car-following model to multi-anticipative driving. As in the one-car-anticipative model, the stability and the stationary regimes are characterized thanks to a variational formulation of the car-dynamics. We study the homogeneous driving case. We show that in term of the stationary regime, the multi-anticipative model guarantees the same macroscopic behavior as for the one-car-anticipative one. Nevertheless, in the transient traffic, the variance in car-velocities and accelerations is mitigated by the multi-anticipative driving, and the car-trajectories are smoothed. A parameter identification of the model is made basing on NGSIM data and using a piecewise linear regression approach.

Nadir Farhi; Habib Haj-Salem; Jean-Patrick Lebacque

2013-02-01T23:59:59.000Z

46

On linear models for nonlinear systems  

Science Conference Proceedings (OSTI)

Best linear time-invariant (LTI) approximations are analysed for several interesting classes of discrete nonlinear time-invariant systems. These include nonlinear finite impulse response systems and a class of nonsmooth systems called bi-gain systems. ... Keywords: Approximation, Discrete-time systems, Fréchet derivative, Linear models, Nonlinear systems, System identification, Wiener systems

P. M. MäKilä; J. R. Partington

2003-01-01T23:59:59.000Z

47

Piecewise linear car-following modeling  

E-Print Network (OSTI)

We present a traffic model which extends the linear car-following model as well as the min-plus traffic model (a model based on the min-plus algebra). A discrete-time car-dynamics describing the traffic on a 1-lane road without passing is interpreted as a dynamic programming equation of a stochastic optimal control problem of a Markov chain. This variational formulation permits to characterize the stability of the car-dynamics and to calculte the stationary regimes when they exist. The model is based on a piecewise linear approximation of the fundamental traffic diagram.

Farhi, Nadir

2011-01-01T23:59:59.000Z

48

A new extended Birnbaum-Saunders regression model for lifetime modeling  

Science Conference Proceedings (OSTI)

A new class of extended Birnbaum-Saunders regression models is introduced. It can be applied to censored data and be used more effectively in survival analysis and fatigue life studies. Maximum likelihood estimation of the model parameters with censored ... Keywords: Birnbaum-Saunders distribution, Censored data, Fatigue life distribution, Lifetime data, Local influence analysis

Artur J. Lemonte

2013-08-01T23:59:59.000Z

49

Optimal aggregation of linear time series models  

Science Conference Proceedings (OSTI)

Aggregation is a central and mainly unsolved problem in econometrics. When considering linear time series models, a widely used method is to replace the disaggregate model by an aggregative one in which the variables are grouped and replaced by sums ... Keywords: Aggregation, Industrial classification, Threshold accepting

J. Chipman; P. Winker

2005-04-01T23:59:59.000Z

50

Linear regression analysis of emissions factors when firing fossil fuels and biofuels in a commercial water-tube boiler  

Science Conference Proceedings (OSTI)

This paper compares the emissions factors for a suite of liquid biofuels (three animal fats, waste restaurant grease, pressed soybean oil, and a biodiesel produced from soybean oil) and four fossil fuels (i.e., natural gas, No. 2 fuel oil, No. 6 fuel oil, and pulverized coal) in Penn State's commercial water-tube boiler to assess their viability as fuels for green heat applications. The data were broken into two subsets, i.e., fossil fuels and biofuels. The regression model for the liquid biofuels (as a subset) did not perform well for all of the gases. In addition, the coefficient in the models showed the EPA method underestimating CO and NOx emissions. No relation could be studied for SO{sub 2} for the liquid biofuels as they contain no sulfur; however, the model showed a good relationship between the two methods for SO{sub 2} in the fossil fuels. AP-42 emissions factors for the fossil fuels were also compared to the mass balance emissions factors and EPA CFR Title 40 emissions factors. Overall, the AP-42 emissions factors for the fossil fuels did not compare well with the mass balance emissions factors or the EPA CFR Title 40 emissions factors. Regression analysis of the AP-42, EPA, and mass balance emissions factors for the fossil fuels showed a significant relationship only for CO{sub 2} and SO{sub 2}. However, the regression models underestimate the SO{sub 2} emissions by 33%. These tests illustrate the importance in performing material balances around boilers to obtain the most accurate emissions levels, especially when dealing with biofuels. The EPA emissions factors were very good at predicting the mass balance emissions factors for the fossil fuels and to a lesser degree the biofuels. While the AP-42 emissions factors and EPA CFR Title 40 emissions factors are easier to perform, especially in large, full-scale systems, this study illustrated the shortcomings of estimation techniques. 23 refs., 3 figs., 8 tabs.

Sharon Falcone Miller; Bruce G. Miller [Pennsylvania State University, University Park, PA (United States). Energy Institute

2007-12-15T23:59:59.000Z

51

Regression Models for Demand Reduction based on Cluster Analysis of Load  

NLE Websites -- All DOE Office Websites (Extended Search)

Regression Models for Demand Reduction based on Cluster Analysis of Load Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles Speaker(s): Nobuyuki Yamaguchi Date: March 26, 2009 - 12:00pm Location: 90-3122 This seminar provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. We examined the performance of the proposed models with respect to the validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial

52

An Iterative Regression Model for Estimating Soybean Yields from Environmental Data  

Science Conference Proceedings (OSTI)

A model was developed for using weather data, to estimate the yields of soybeans for varieties adapted to the central United States. The model utilized an iterative regression analysis for relating soybean yields to environmental variables. This ...

Andres C. Ravelo; Wayne L. Decker

1981-11-01T23:59:59.000Z

53

Fair SMG and Linear Time Model Checking  

E-Print Network (OSTI)

SMG is a system designed to generate a finite state model of a program from the program itself and an operational semantics for the programming language. This finite state model can then be model-checked to verify desired temporal properties of the original program. In this paper we first show how we have incorporated notions of fairness into SMG; in particular, a user is now able to define semantics with "fair" constructs, for example, parallel, repetitive choice, etc. The user can, indeed, mix different forms of fairness checking. Secondly we describe a practical approach to model checking of linear temporal formulae over the fair structures generated by SMG. Our approach is a refinement and extension of the fair-satisfiability algorithms, presented earlier by Lichtenstein and Pnueli, together with techniques developed in our practical implementations of decision procedures for linear temporal logic.

Howard Barringer; Michael D. Fisher; Graham D. Gough

1989-01-01T23:59:59.000Z

54

Research Article: Environmental adaptation of proteins: Regression models with simple physicochemical properties  

Science Conference Proceedings (OSTI)

Bio-sequences from ortholog proteins are well suited for statistical inference when the sequences can be divided into ordinal groups based on known environmental features or traits of the host organisms. In this paper two new regression models are described ... Keywords: Comparative genomics, False discovery rate, Mann-Kendall test, Non-parametric regression, Psychrophiles

Steinar Thorvaldsen; Elinor Ytterstad

2009-10-01T23:59:59.000Z

55

A support vector regression based prediction model of affective responses for product form design  

Science Conference Proceedings (OSTI)

In this paper, a state-of-the-art machine learning approach known as support vector regression (SVR) is introduced to develop a model that predicts consumers' affective responses (CARs) for product form design. First, pairwise adjectives were used to ... Keywords: Genetic algorithm, Kansei engineering, Neural network, Product form design, Support vector regression

Chih-Chieh Yang; Meng-Dar Shieh

2010-11-01T23:59:59.000Z

56

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

Science Conference Proceedings (OSTI)

This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.

Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila

2009-06-28T23:59:59.000Z

57

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network (OSTI)

??This thesis presents a forecasting model for the propane consumption within the residential sector. In this research we explore the dynamic behavior of different variables… (more)

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

58

Septic shock : providing early warnings through multivariate logistic regression models  

E-Print Network (OSTI)

(cont.) The EWS models were then tested in a forward, casual manner on a random cohort of 500 ICU patients to mimic the patients' stay in the unit. The model with the highest performance achieved a sensitivity of 0.85 and ...

Shavdia, Dewang

2007-01-01T23:59:59.000Z

59

A beta regression model for improved solar radiation predictions  

Science Conference Proceedings (OSTI)

Predicting global solar radiation is an integral part of much environmental modeling. There are several approaches for predicting global solar radiation at a site where no instrumentation exists. One popular approach uses the difference between ...

Randall Mullen; Lucy Marshall; Brian McGlynn

60

A Beta Regression Model for Improved Solar Radiation Predictions  

Science Conference Proceedings (OSTI)

Predicting global solar radiation is an integral part of much environmental modeling. There are several approaches for predicting global solar radiation at a site where no instrumentation exists. One popular approach uses the difference between ...

Randall Mullen; Lucy Marshall; Brian McGlynn

2013-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Macroeconomic Activity Module (Mam) 1998 (Kernel Regression), Model Documentation  

Reports and Publications (EIA)

The Macroeconomic Activity Module (MAM) serves two functions within the National Energy Modeling System (NEMS). First, it provides consistent sets of baselines macroeconomic variables (GDP and components, aggregate prices, interest rates, industrial output, housing starts, commercial floorspace, newcar sales, etc.) which are used by the supply, demand and conversion modules in reaching an energy market equilibrium. Second, it is designed to provide a feedback mechanism that alters the baseline variables during the course of an integrated NEMS run.

Ron Earley

1998-10-01T23:59:59.000Z

62

Estimation and regularization techniques for regression models with multidimensional prediction functions  

Science Conference Proceedings (OSTI)

Boosting is one of the most important methods for fitting regression models and building prediction rules. A notable feature of boosting is that the technique can be modified such that it includes a built-in mechanism for shrinking coefficient estimates ... Keywords: Count data model, Gradient boosting, Multidimensional prediction function, Scale parameter estimation, Variable selection

Matthias Schmid; Sergej Potapov; Annette Pfahlberg; Torsten Hothorn

2010-04-01T23:59:59.000Z

63

Learning uncertainty models from weather forecast performance databases using quantile regression  

Science Conference Proceedings (OSTI)

Forecast uncertainty information is not available in the immediate output of Numerical weather prediction (NWP) models. Such important information is required for optimal decision making processes in many domains. Prediction intervals are a prominent ... Keywords: numerical weather forecast, prediction interval, quantile regression, uncertainty modeling

Ashkan Zarnani; Petr Musilek

2013-07-01T23:59:59.000Z

64

Depth recovery using an adaptive color-guided auto-regressive model  

Science Conference Proceedings (OSTI)

This paper proposes an adaptive color-guided auto-regressive (AR) model for high quality depth recovery from low quality measurements captured by depth cameras. We formulate the depth recovery task into a minimization of AR prediction errors subject ... Keywords: AR model, depth camera, depth recovery, nonlocal filtering

Jingyu Yang; Xinchen Ye; Kun Li; Chunping Hou

2012-10-01T23:59:59.000Z

65

Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy  

Science Conference Proceedings (OSTI)

Non-linear regression based on reproducing kernel Hilbert space (RKHS) has recently become very popular in fitting high-dimensional data. The RKHS formulation provides an automatic dimension reduction of the covariates. This is particularly helpful when ... Keywords: Bayesian prediction, Laplace distribution, Metropolis-Hastings algorithm, Near infrared spectroscopy, Nonlinear regression, Reproducing kernel Hilbert space, Vapnik's ?-insensitive loss

Sounak Chakraborty

2012-09-01T23:59:59.000Z

66

Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability  

Science Conference Proceedings (OSTI)

Predictive models are constructed to best describe an observed field’s statistics within a given class of nonlinear dynamics driven by a spatially coherent noise that is white in time. For linear dynamics, such inverse stochastic models are ...

S. Kravtsov; D. Kondrashov; M. Ghil

2005-11-01T23:59:59.000Z

67

An analysis of poverty in Italy through a fuzzy regression model  

Science Conference Proceedings (OSTI)

Over recent years, and related in particular to the significant recent international economic crisis, an increasingly worrying rise in poverty levels has been observed both in Italy, as well as in other countries. Such a phenomenon may be analysed from ... Keywords: Eu-Silc, fuzzy logic, poverty, regression model

Silvestro Montrone; Francesco Campobasso; Paola Perchinunno; Annarita Fanizzi

2011-06-01T23:59:59.000Z

68

Linearized Functional Minimization for Inverse Modeling  

SciTech Connect

Heterogeneous aquifers typically consist of multiple lithofacies, whose spatial arrangement significantly affects flow and transport. The estimation of these lithofacies is complicated by the scarcity of data and by the lack of a clear correlation between identifiable geologic indicators and attributes. We introduce a new inverse-modeling approach to estimate both the spatial extent of hydrofacies and their properties from sparse measurements of hydraulic conductivity and hydraulic head. Our approach is to minimize a functional defined on the vectors of values of hydraulic conductivity and hydraulic head fields defined on regular grids at a user-determined resolution. This functional is constructed to (i) enforce the relationship between conductivity and heads provided by the groundwater flow equation, (ii) penalize deviations of the reconstructed fields from measurements where they are available, and (iii) penalize reconstructed fields that are not piece-wise smooth. We develop an iterative solver for this functional that exploits a local linearization of the mapping from conductivity to head. This approach provides a computationally efficient algorithm that rapidly converges to a solution. A series of numerical experiments demonstrates the robustness of our approach.

Wohlberg, Brendt [Los Alamos National Laboratory; Tartakovsky, Daniel M. [University of California, San Diego; Dentz, Marco [Institute of Environmental Assessment and Water Research, Barcelona, Spain

2012-06-21T23:59:59.000Z

69

Goodness-of-fit tests in semi-linear models  

Science Conference Proceedings (OSTI)

Specification tests for the error distribution are proposed in semi-linear models, including the partial linear model and additive models. The tests utilize an integrated distance involving the empirical characteristic function of properly estimated ... Keywords: Bootstrap test, Empirical characteristic function, Goodness-of-fit test, Semiparametric model, Symmetry test

Simos G. Meintanis; Jochen Einbeck

2012-07-01T23:59:59.000Z

70

The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements  

Science Conference Proceedings (OSTI)

In this paper a brute force logistic regression (LR) modeling approach is proposed and used to develop predictive credit scoring model for corporate entities. The modeling is based on 5years of data from end-of-year financial statements of Serbian corporate ... Keywords: Corporate entities, Credit scoring, Logistic regression, Probability of default, Weight of evidence approach

Nebojsa Nikolic, Nevenka Zarkic-Joksimovic, Djordje Stojanovski, Iva Joksimovic

2013-11-01T23:59:59.000Z

71

Fitting a Linear Autoregressive Model for Long-Range Forecasting  

Science Conference Proceedings (OSTI)

Methods of fitting a linear autoregressive model to a stationary time series are summarized. Parameters of the linear autoregressive model were estimated by the Durbin stepwise procedure and the order of this model was chosen by means of a t-test ...

C. S. Yao

1983-04-01T23:59:59.000Z

72

Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)  

Science Conference Proceedings (OSTI)

Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial ... Keywords: Artificial Neural Networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Exchange rate, Financial markets, Fuzzy logic, Time series forecasting

Mehdi Khashei; Mehdi Bijari; Gholam Ali Raissi Ardali

2009-01-01T23:59:59.000Z

73

Neural Network and Multiple Linear Regression for Estimating Surface Albedo from ASTER Visible and Near-Infrared Spectral Bands  

Science Conference Proceedings (OSTI)

The current Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)-based broadband albedo model requires shortwave infrared bands 5 (2.145–2.185 nm), 6 (2.185–2.225 nm), 8 (2.295–2.365 nm), and 9 (2.360–2.430 nm) and visible/near-...

Mohammad H. Mokhtari; Ibrahim Busu; Hossein Mokhtari; Gholamreza Zahedi; Leila Sheikhattar; Mohammad A. Movahed

2013-04-01T23:59:59.000Z

74

A Linearized Convective Overturning Model for Prediction of Thunderstorm Movement  

Science Conference Proceedings (OSTI)

A linearized model of convective overturning in shear for prediction of storm propagation is presented. Good correspondence between the model and observation is found for a number of case studies of real storms. Supercell storms, however, are an ...

Adrian Marroquin; David J. Raymond

1982-01-01T23:59:59.000Z

75

Convective Interaction with Dynamics in a Linear Primitive Equation Model  

Science Conference Proceedings (OSTI)

A new global atmosphere model purpose designed for climate studies is introduced. The model is solved in terms of the normal modes of the linearized primitive equations on a sphere, which allows use of long time steps without introducing ...

Richard Seager; Stephen E. Zebiak

1994-05-01T23:59:59.000Z

76

Linear Spectral Numerical Model for Internal Gravity Wave Propagation  

Science Conference Proceedings (OSTI)

A three-dimensional linear spectral numerical model is proposed to simulate the propagation of internal gravity wave fluctuations in a stably stratified atmosphere. The model is developed to get first-order estimations of gravity wave ...

J. Marty; F. Dalaudier

2010-05-01T23:59:59.000Z

77

A constrained regression technique for cocomo calibration  

Science Conference Proceedings (OSTI)

Building cost estimation models is often considered a search problem in which the solver should return an optimal solution satisfying an objective function. This solution also needs to meet certain constraints. For example, a solution for the estimates ... Keywords: calibration, cocomo, linear programming, linear regression with constraints, optimization, quadratic programming, software cost estimation

Vu Nguyen; Bert Steece; Barry Boehm

2008-10-01T23:59:59.000Z

78

Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models  

E-Print Network (OSTI)

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. In particular we calibrate AR/ARX (”X” stands for exogenous/fundamental variable — system load in our study), AR/ARX-GARCH, TAR/TARX and Markov regime-switching models to California Power Exchange (CalPX) system spot prices. We then use them for out-ofsample point and interval forecasting in normal and extremely volatile periods preceding the market crash in winter 2000/2001. We find evidence that (i) non-linear, threshold regime-switching (TAR/TARX) models outperform their linear counterparts, both in point and interval forecasting, and that (ii) an additional GARCH component generally decreases point forecasting efficiency. Interestingly, the former result challenges a number of previously published studies on the failure of non-linear regime-switching models in forecasting.

Adam Misiorek; Stefan Trueck; Rafal Weron

2006-01-01T23:59:59.000Z

79

A Note on Static Software Reliability Models by GMDH: Comparison with a Multiple Regression Model  

Science Conference Proceedings (OSTI)

This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can be considered as an extension of ... Keywords: Software reliability, GMDH, Software project data, Software quality management, Regression analysis

Mitsuhiro Kimura; Ryohei Shimada

2012-11-01T23:59:59.000Z

80

Modeling Linear Kinematic Features in Sea Ice  

Science Conference Proceedings (OSTI)

Sea ice deformation is localized in narrow zones of high strain rate that extend hundreds of kilometers, for example, across the Arctic Basin. This paper demonstrates that these failure zones may be modeled with a viscous–plastic sea ice model, ...

Jennifer K. Hutchings; Petra Heil; William D. Hibler III

2005-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Linear Models: Useful Tools to Analyze GCM Results  

Science Conference Proceedings (OSTI)

Using a two-level linear, steady state model, we diagnose the 40-day mean response of a GCM to a tropical sea surface temperature (SST) anomaly. The time-mean anomalies produced by the GCM are simulated as linear response to the anomalous ...

C. J. Kok; J. D. Opsteegh; H. M. van den Dool

1987-09-01T23:59:59.000Z

82

Comparison of the prediction accuracy of daily and monthly regression models for energy consumption in commercial buildings  

E-Print Network (OSTI)

The measured energy savings from retrofits in commercial buildings are generally determined as the difference between the energy consumption predicted using a baseline model and the measured energy consumption during the post retrofit period. Most baseline models are developed by regressing the daily energy consumption versus the daily average temperature (daily models) or by regressing the monthly energy consumption versus the monthly average temperature (monthly models). Since the post-retrofit weather is generally different from the weather used for model development, the prediction error of the baseline model may be different from the fitting error. Daily and monthly baseline models were developed for a midsize commercial building with (i) dual-duct CAV and VAV systems, (ii) office and university occupancy schedules, and (iii) different operating practices using the weather of a mild weather year. The prediction errors were identified as the difference between the energy use predicted by the regression models and the values simulated by a calibrated simulation program when both models use weather from a year very different from the weather year used to develop the regression model. The major results are summarized below: 1. When the AHUs operate 24 hours per day, annual energy prediction errors of daily regression models were found to be less than 1.4%. The errors of monthly regression models were found to be in the same range as the error of the daily models. 2. When the AHUs were shut down during unoccupied periods, annual prediction errors for both daily and monthly regression models were as high as 15%. However, the prediction error of daily regression models can be decreased to a range of 2% to 3% if the daily average energy consumption is regressed versus the average temperature during the operation period. Based on these findings, we suggest use of daily or monthly regression models when the AHUs are operated 24 hours per day. When shut-down is performed during unoccupied hours, daily energy consumption should be regressed versus the average ambient temperature during operating hours to develop the baseline model.

Wang, Jinrong

1996-01-01T23:59:59.000Z

83

A Linear Stochastic Dynamical Model of ENSO. Part II: Analysis  

Science Conference Proceedings (OSTI)

In this study the behavior of a linear, intermediate model of ENSO is examined under stochastic forcing. The model was developed in a companion paper (Part I) and is derived from the Zebiak–Cane ENSO model. Four variants of the model are used ...

C. J. Thompson; D. S. Battisti

2001-02-01T23:59:59.000Z

84

Increased precision in sampling using regression modeling, with an application to electric load research  

SciTech Connect

A model is given for situations in survey sampling in which the characteristic of interest is an expected value of the dependent variable in a regression. For each sample unit, a regression can be used to estimate the expected value of the characteristic of interest for a given set of values of the explanatory variables. The model can be used to calculate the expected value and variance of an estimator of the population total of the expected value of the characteristic of interest, for a given set of values of the explanatory variables. The application involves the estimation of a class-load curve on the system peak day of an electric utility. The conventional method uses, for each customer in the sample, the customer's actual demand on the system peak day to estimate the customer's expected demand under the conditions of the peak day. The proposed method uses, for each customer in the sample, a model to estimate the customer's expected demand under the conditions of the peak day. The conditions are variables such as the time-of-day and weather. The variance of an estimator of a class expected load curve under the conditions of the peak day may be reduced by using the proposed method instead of the conventional method.

Oberg, K.M.

1988-01-01T23:59:59.000Z

85

A Linear Markov Model for East Asian Monsoon Seasonal Forecast  

Science Conference Proceedings (OSTI)

A linear Markov model has been developed to predict the short-term climate variability of the East Asian monsoon system, with emphasis on precipitation variability. Precipitation, sea level pressure, zonal and meridional winds at 850 mb, along ...

Qiaoyan Wu; Ying Yan; Dake Chen

2013-07-01T23:59:59.000Z

86

Forecasting Pacific SSTs: Linear Inverse Model Predictions of the PDO  

Science Conference Proceedings (OSTI)

A linear inverse model (LIM) is used to predict Pacific (30°S–60°N) sea surface temperature anomalies (SSTAs), including the Pacific decadal oscillation (PDO). The LIM is derived from the observed simultaneous and lagged covariance statistics of ...

Michael A. Alexander; Ludmila Matrosova; Cécile Penland; James D. Scott; Ping Chang

2008-01-01T23:59:59.000Z

87

Fractional models for modeling complex linear systems under poor frequency resolution measurements  

Science Conference Proceedings (OSTI)

When modeling a linear system in a parametric way, one needs to deal with (i) model structure selection, (ii) model order selection as well as (iii) an accurate fit of the model. The most popular model structure for linear systems has a rational form ... Keywords: Continuous-time modeling, Fractional order systems, Linear systems, Non-asymptotic, Nonlinear least squares, Parametric models, Poor frequency resolutions, Statistical signal processing, Transfer function

Kurt Barbé, Oscar J. Olarte Rodriguez, Wendy Van Moer, Lieve Lauwers

2013-07-01T23:59:59.000Z

88

Confirming the Lanchestrian linear-logarithmic model of attrition  

Science Conference Proceedings (OSTI)

This paper is the fourth in a series of reports on the breakthrough research in historical validation of attrition in conflict. Significant defense policy decisions, including weapons acquisition and arms reduction, are based in part on models of conflict. Most of these models are driven by their attrition algorithms, usually forms of the Lanchester square and linear laws. None of these algorithms have been validated. The results of this paper confirm the results of earlier papers, using a large database of historical results. The homogeneous linear-logarithmic Lanchestrian attrition model is validated to the extent possible with current initial and final force size data and is consistent with the Iwo Jima data. A particular differential linear-logarithmic model is described that fits the data very well. A version of Helmbold's victory predicting parameter is also confirmed, with an associated probability function. 37 refs., 73 figs., 68 tabs.

Hartley, D.S. III.

1990-12-01T23:59:59.000Z

89

Assessing the reliability of linear dynamic transformer thermal modelling  

E-Print Network (OSTI)

Assessing the reliability of linear dynamic transformer thermal modelling X. Mao, D.J. Tylavsky and G.A. McCulla Abstract: Improving the utilisation of transformers requires that the hot-spot and top. An alternative method for assessing transformer model reliability is provided. 1 Introduction The maximally

90

Hybrid Linear Modeling via Local Best-Fit Flats  

Science Conference Proceedings (OSTI)

We present a simple and fast geometric method for modeling data by a union of affine subspaces. The method begins by forming a collection of local best-fit affine subspaces, i.e., subspaces approximating the data in local neighborhoods. The correct sizes ... Keywords: Face clustering, High-dimensional data, Hybrid linear modeling, Local PCA, Motion segmentation, Spectral clustering, Subspace clustering

Teng Zhang; Arthur Szlam; Yi Wang; Gilad Lerman

2012-12-01T23:59:59.000Z

91

Forecast Combinations of Computational Intelligence and Linear Models for the  

E-Print Network (OSTI)

Forecast Combinations of Computational Intelligence and Linear Models for the NN5 Time Series Forecasting competition Robert R. Andrawis Dept Computer Engineering Cairo University, Giza, Egypt robertrezk@eg.ibm.com November 6, 2010 Abstract In this work we introduce a forecasting model with which we participated

Atiya, Amir

92

Modeling NOx emissions from coal-fired utility boilers using support vector regression with ant colony optimization  

Science Conference Proceedings (OSTI)

Modeling NO"x emissions from coal fired utility boiler is critical to develop a predictive emissions monitoring system (PEMS) and to implement combustion optimization software package for low NO"x combustion. This paper presents an efficient NO"x emissions ... Keywords: Ant colony optimization, Artificial neural networks, Combustion modeling, NOx emissions modeling, Support vector regression

Hao Zhou; Jia Pei Zhao; Li Gang Zheng; Chun Lin Wang; Ke Fa Cen

2012-02-01T23:59:59.000Z

93

HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA  

Science Conference Proceedings (OSTI)

The aim of this study is to develop a new hybrid model by combining a linear and nonlinear model for forecasting time-series data. The proposed model (GRANN_ARIMA) integrates nonlinear grey relational artificial neural network (GRANN) and a linear autoregressive ...

Roselina Sallehuddin; Siti Mariyam Hj. Shamsuddin

2009-05-01T23:59:59.000Z

94

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

E-Print Network (OSTI)

on Cluster Analysis of Load Profiles Nobuyuki Yamaguchi,on Cluster Analysis of Load Profiles Nobuyuki Yamaguchi,regressions, using actual load profile data of Pacific Gas

Kiliccote, Sila

2010-01-01T23:59:59.000Z

95

A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization  

Science Conference Proceedings (OSTI)

A time series forecasting is an active research applied significantly in a variety of economics areas. Over the past three decades an auto-regressive integrated moving average (ARIMA) model, as one of the most important time series models, has been applied ... Keywords: ARIMA, Forecasting, PSOARIMA

Shahrokh Asadi; Akbar Tavakoli; Seyed Reza Hejazi

2012-04-01T23:59:59.000Z

96

Exact Solutions to Kawase's Linear Model of Deep Ocean Circulation  

Science Conference Proceedings (OSTI)

Exact solutions are found for Kawase's linear, two-layer model of mass-driven deep-ocean circulation. It is demonstrated that for strong damping, even though the deep western boundary current (DWBC) bifurcates at the equator as found in Kawase's ...

Dailin Wang; Dennis W. Moore; Lewis M. Rothstein

1994-10-01T23:59:59.000Z

97

A Bayesian Framework for Multimodel Regression  

Science Conference Proceedings (OSTI)

This paper presents a framework based on Bayesian regression and constrained least squares methods for incorporating prior beliefs in a linear regression problem. Prior beliefs are essential in regression theory when the number of predictors is ...

Timothy DelSole

2007-06-01T23:59:59.000Z

98

Semiparametric regression with shape-constrained penalized splines  

Science Conference Proceedings (OSTI)

In semiparametric regression models, penalized splines can be used to describe complex, non-linear relationships between the mean response and covariates. In some applications it is desirable to restrict the shape of the splines so as to enforce properties ... Keywords: Linear mixed model, MCMC, Shape constraint, Spline, Truncated multivariate normal

Martin L. Hazelton; Berwin A. Turlach

2011-10-01T23:59:59.000Z

99

Linear lattice modeling of the recycler ring at Fermilab  

SciTech Connect

Substantial differences are found in tunes and beta functions between the existing linear model and the real storage ring. They result in difficulties when tuning the machine to new lattice conditions. We are trying to correct the errors by matching the model into the real machine using Orbit Response Matrix (ORM) Fit method. The challenges with ORM particularly in the Recycler ring and the results are presented in this paper.

Xiao, Meiqin; Valishev, Alexander; Nagaslaev, Vladimir P.; /Fermilab; Sajaev, Vadim; /Argonne

2006-06-01T23:59:59.000Z

100

Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction  

Science Conference Proceedings (OSTI)

In this paper we present a novel approach for nonlinear time series prediction using Kernel methods. The kernel methods such as Support Vector Machine(SVM) and Support Vector Regression(SVR) deal with nonlinear problems assuming independent and identically ...

Venkataramana B. Kini; C. Chandra Sekhar

2007-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Modeling Personalized Email Prioritization: Classification-based and Regression-based Approaches  

Science Conference Proceedings (OSTI)

Email overload, even after spam filtering, presents a serious productivity challenge for busy professionals and executives. One solution is automated prioritization of incoming emails to ensure the most important are read and processed quickly, while others are processed later as/if time permits in declining priority levels. This paper presents a study of machine learning approaches to email prioritization into discrete levels, comparing ordinal regression versus classier cascades. Given the ordinal nature of discrete email priority levels, SVM ordinal regression would be expected to perform well, but surprisingly a cascade of SVM classifiers significantly outperforms ordinal regression for email prioritization. In contrast, SVM regression performs well -- better than classifiers -- on selected UCI data sets. This unexpected performance inversion is analyzed and results are presented, providing core functionality for email prioritization systems.

Yoo S.; Yang, Y.; Carbonell, J.

2011-10-24T23:59:59.000Z

102

Comparison between artificial neural network and multilinear regression models in an evaluation of cognitive workload in a flight simulator  

Science Conference Proceedings (OSTI)

In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography ... Keywords: Cognitive load, Heart rate analysis, Intelligent systems, Nonlinear data analysis, Psychophysiological stress factors

Manne Hannula; Kerttu Huttunen; Jukka Koskelo; Tomi Laitinen; Tuomo Leino

2008-11-01T23:59:59.000Z

103

Using support vector regression to model the correlation between the clinical metastases time and gene expression profile for breast cancer  

Science Conference Proceedings (OSTI)

Objective: Recently, the microarray analysis has been an important tool used for studying the cancer type, biological mechanism, and diagnostic biomarkers. There are several machine-learning methods being used to construct the prognostic model based ... Keywords: Breast cancer, Feature selection, Metastases time, Microarray, Support vector regression

Shih-Hau Chiu; Chien-Chi Chen; Thy-Hou Lin

2008-11-01T23:59:59.000Z

104

Large scale nuclear sensor monitoring and diagnostics by means of an ensemble of regression models based on Evolving Clustering Methods  

E-Print Network (OSTI)

signals measured at a nuclear Boiling Water Reactor (BWR) located in Oskarshamn, Sweden. A total number NLarge scale nuclear sensor monitoring and diagnostics by means of an ensemble of regression models the validation and reconstruction of 792 signals measured at the Swedish boiling water reactor located

105

NON-LINEAR MODELING OF THE RHIC INTERACTION REGIONS.  

Science Conference Proceedings (OSTI)

For RHIC's collision lattices the dominant sources of transverse non-linearities are located in the interaction regions. The field quality is available for most of the magnets in the interaction regions from the magnetic measurements, or from extrapolations of these measurements. We discuss the implementation of these measurements in the MADX models of the Blue and the Yellow rings and their impact on beam stability.

TOMAS,R.FISCHER,W.JAIN,A.LUO,Y.PILAT,F.

2004-07-05T23:59:59.000Z

106

Choosing the best set of variables in regression analysis using integer programming  

Science Conference Proceedings (OSTI)

This paper is concerned with an algorithm for selecting the best set of s variables out of k(> s) candidate variables in a multiple linear regression model. We employ absolute deviation as the measure of deviation and solve ... Keywords: 0-1 integer programming, Cardinality constraint, Least absolute deviation, Linear regression, Variable selection

Hiroshi Konno; Rei Yamamoto

2009-06-01T23:59:59.000Z

107

An application of regression model for evaluation of blast vibration in an opencast coal mine: a case analysis  

Science Conference Proceedings (OSTI)

Different models of vibration studies are examined. A case analysis to determine the parameters governing the prediction of blast vibration in an opencast coal mine is described. A regression model was developed to evaluate peak particle velocity (PPV) of the blast. The results are applicable to forecasting ground vibration before blasting and to the design of various parameters in controlled blasting. 16 refs., 1 fig., 1 tab.

Brahma, K.C.; Pal, B.K.; Das, C. [CMPDI, Bhubaneswar (India)

2005-07-01T23:59:59.000Z

108

Machining force regression models and real time control when turning MET 4 metallized coating  

Science Conference Proceedings (OSTI)

Due to their wide range of application, metallized coatings are widely used in industry, both for wear resistance or corrosion protection. In order to obtain the required geometric precision, machining these coatings is many times required. As their ... Keywords: control system, experiments design, force, metallized coating, real time, regression, turning

Mihaiela Iliescu; Luigi Vl?d?reanu; Marius Soceanu

2011-07-01T23:59:59.000Z

109

Revenue forecasting using a least-squares support vector regression model in a fuzzy environment  

Science Conference Proceedings (OSTI)

Revenue forecasting is difficult but essential for companies that want to create high-quality revenue budgets, especially in an uncertain economic environment with changing government policies. Under these conditions, the subjective judgment of decision ... Keywords: Genetic algorithms, Least-squares support vector regression, Membership function, Revenue forecasting

Kuo-Ping Lin; Ping-Feng Pai; Yu-Ming Lu; Ping-Teng Chang

2013-01-01T23:59:59.000Z

110

Modeling of permeability and compaction characteristics of soils using evolutionary polynomial regression  

Science Conference Proceedings (OSTI)

This paper presents a new approach, based on evolutionary polynomial regression (EPR), for prediction of permeability (K), maximum dry density (MDD), and optimum moisture content (OMC) as functions of some physical properties of soil. EPR is a data-driven ... Keywords: Data mining, Evolutionary computing, Maximum dry density, Optimum moisture content, Permeability

A. Ahangar-Asr; A. Faramarzi; N. Mottaghifard; A. A. Javadi

2011-11-01T23:59:59.000Z

111

Impact of Nighttime Shut Down on the Prediction Accuracy of Monthly Regression Models for Energy Consumption in Commercial Buildings  

E-Print Network (OSTI)

Regression models of measured energy use in buildings are widely used as baseline models to determine retrofit savings from measured energy consumption. It is less expensive to determine savings from monthly utility bills when they are available than to install hourly metering equipment. However, little is known about the impact of nighttime shut off on the accuracy of savings determined from monthly data. This paper reports a preliminary investigation of this question by comparing the heating and cooling energy use predicted by regression models based on monthly data against the predictions of calibrated hourly simulation models when applied to a medium-sized university building in Texas with (i) DDCAV system operating 24 hours per day, (ii) DDCAV system with nighttime shut down, (iii) DDVAV system operating 24 hours per day, and (iv) DDVAV system with nighttime shut down. The results of the four cases studied indicate : 1) when the AHUs are operated 24 hours/day, the annual prediction error of the cooling regression models is less than 0.5% of the annual cooling energy consumption; however, 2) when the AHUs are operated with nighttime shut down, the annual prediction error of the cooling models becomes as high as 6% of annual energy consumption. It should be noted that the cases considered here include only single end-uses of energy and have not investigated energy-use data which includes multiple end-uses. Modified regression models are therefore recommended when AHUs are not operated 24 hours per day and the temperature pattern is significantly different between pre and post retrofit years.

Wang, J.; Claridge, D. E.

1998-01-01T23:59:59.000Z

112

Source of Gravity Waves within a Vortex-Dipole Jet Revealed by a Linear Model  

Science Conference Proceedings (OSTI)

This study develops a linear numerical model to address the source mechanism of the gravity waves generated within a vortex dipole simulated in a fully nonlinear nonhydrostatic mesoscale model. The background flow for this linear model is ...

Shuguang Wang; Fuqing Zhang

2010-05-01T23:59:59.000Z

113

A Linear Parabolic Trough Solar Collector Performance Model  

E-Print Network (OSTI)

A performance model has been programmed for solar thermal collector based on a linear, tracking parabolic trough reflector focused on a surface-treated metallic pipe receiver enclosed in an evacuated transparent tube: a Parabolic Trough Solar Collector (PTSC). This steady state, single dimensional model comprises the fundamental radiative and convective heat transfer and mass and energy balance relations programmed in the Engineering Equation Solver, EES. It considers the effects of solar intensity and incident angle, collector dimensions, material properties, fluid properties, ambient conditions, and operating conditions on the performance of the collector: the PTSC. Typical performance calculations show that when hot-water at 165C flows through a 6m by 2.3m PTSC with 900 w/m^2 solar insulation and 0 incident angle, the estimated collector efficiency is about 55% The model predictions will be confirmed by the operation of PTSCs now being installed at Carnegie Mellon.

Qu, M.; Archer, D.; Masson, S.

2006-01-01T23:59:59.000Z

114

Global illumination with radiance regression functions  

Science Conference Proceedings (OSTI)

We present radiance regression functions for fast rendering of global illumination in scenes with dynamic local light sources. A radiance regression function (RRF) represents a non-linear mapping from local and contextual attributes of surface points, ... Keywords: global illumination, neural network, non-linear regression, real time rendering

Peiran Ren; Jiaping Wang; Minmin Gong; Stephen Lin; Xin Tong; Baining Guo

2013-07-01T23:59:59.000Z

115

Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering  

Science Conference Proceedings (OSTI)

This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the linear dependencies between circuit performances and design parameters. ...

Simona Doboli; Gaurav Gothoskar; Alex Doboli

2003-03-01T23:59:59.000Z

116

Identification and modeling for non-linear dynamic system using neural networks type MLP  

Science Conference Proceedings (OSTI)

In control systems, the model dynamics of linear systems is the principal and most important phase of a project, but when working with dynamic of non-linear systems obtain the model becomes a very complex task can be used techniques of system identification. ... Keywords: LP, algorithms, dynamic backprogation, modeling, multilayer perceptrons, neural networks dynamics, non-linear dynamics, training

Hernán González Acuña; Max Suell Dutra; Omar Lengerke

2009-06-01T23:59:59.000Z

117

Testing linearity in a cointegrating STR model for the money demand function: International evidence from G-7 countries  

Science Conference Proceedings (OSTI)

The motivation behind this paper is to re-investigate the stability of the long-run money demand function (MDF) in a non-linear cointegrating framework for G-7 countries. Previous studies on non-linearity in the MDF are only related to the short-run ... Keywords: G-7 countries, Money demand function, Non-linear cointegration, Smooth transition regression

Chien-Chiang Lee; Pei-Fen Chen; Chun-Ping Chang

2007-12-01T23:59:59.000Z

118

Application of an SVM-based regression model to the air quality study at local scale in the Avilés urban area (Spain)  

Science Conference Proceedings (OSTI)

The objective of this study is to build a regression model of air quality by using the support vector machine (SVM) technique in the Aviles urban area (Spain) at local scale. Hazardous air pollutants or toxic air contaminants refer to any substance that ... Keywords: Air quality, Machine learning, Pollutant substances, Support vector regression

A. SuáRez SáNchez; P. J. GarcíA Nieto; P. Riesgo FernáNdez; J. J. Del Coz DíAz; F. J. Iglesias-RodríGuez

2011-09-01T23:59:59.000Z

119

On estimation and influence diagnostics for zero-inflated negative binomial regression models  

Science Conference Proceedings (OSTI)

The zero-inflated negative binomial model is used to account for overdispersion detected in data that are initially analyzed under the zero-inflated Poisson model. A frequentist analysis, a jackknife estimator and a non-parametric bootstrap for parameter ... Keywords: Bootstrap, EM algorithm, Global influence, Local influence, Negative binomial distribution, Zero-inflated models

Aldo M. Garay; Elizabeth M. Hashimoto; Edwin M. M. Ortega; Víctor H. Lachos

2011-03-01T23:59:59.000Z

120

Seasonal Prediction of Tropical Cyclone Activity Near Taiwan Using the Bayesian Multivariate Regression Method  

Science Conference Proceedings (OSTI)

A Poisson generalized linear regression model cast within a Bayesian framework is applied to forecast the seasonal tropical cyclone (TC) counts in the vicinity of Taiwan. The TC season considered is June–November and the data period used for ...

Mong-Ming Lu; Pao-Shin Chu; Yun-Ching Lin

2010-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

A Bayesian Regression Approach for Predicting Seasonal Tropical Cyclone Activity over the Central North Pacific  

Science Conference Proceedings (OSTI)

In this study, a Poisson generalized linear regression model cast in the Bayesian framework is applied to forecast the tropical cyclone (TC) activity in the central North Pacific (CNP) in the peak hurricane season (July–September) using large-...

Pao-Shin Chu; Xin Zhao

2007-08-01T23:59:59.000Z

122

Solution of a Linearized Model of Heisenberg's Fundamental Equation II  

E-Print Network (OSTI)

A linearized version of Heisenberg's fundamental equation is solved, and the solutions satisfy the axioms of a relativistic quantum field theory with a fundamental length.

E. Brüning; S. Nagamachi

2008-04-11T23:59:59.000Z

123

Mixed-Integer Models for Nonseparable Piecewise Linear ...  

E-Print Network (OSTI)

55. Society for Industrial and Applied Mathematics. Wilson, D. L. 1998. Polyhedral methods for piecewise-linear functions. Ph.D. thesis, University of Kentucky.

124

Three-Dimensional Linear Instability Modeling of the Cloud Level Venus Atmosphere  

Science Conference Proceedings (OSTI)

Based on the success of several 2-D (latitude, longitude) linear barotropic instability models at matching some of the observed characteristics of the cloud level, polar region of the Venus atmosphere, a more realistic, linear, 3-D (height, ...

Lee S. Elson

1989-12-01T23:59:59.000Z

125

Linearization of a Simple Moist Convection Scheme for Large-Scale NWP Models  

Science Conference Proceedings (OSTI)

A simple Kuo-type convection scheme with an improved closure based on moist enthalpy accession (Kuo symmetric) has been linearized for the tangent-linear (TL) and adjoint (AD) versions of the Global Environmental Multiscale (GEM) model. The ...

Jean-François Mahfouf

2005-06-01T23:59:59.000Z

126

Regression Models for Outlier Identification (Hurricanes and Typhoons) in Wave Hindcast Databases  

Science Conference Proceedings (OSTI)

The development of numerical wave prediction models for hindcast applications allows a detailed description of wave climate in locations where long-term instrumental records are not available. Wave hindcast databases (WHDBs) have become a powerful ...

R. Mínguez; B. G. Reguero; A. Luceño; F. J. Méndez

2012-02-01T23:59:59.000Z

127

QAARM: Quasi-anharmonic auto-regressive model reveals molecular recognition pathways in ubiquitin  

SciTech Connect

Molecular dynamics (MD) simulations have dramatically improved the atomistic understanding of protein motions, energetics and function. These growing datasets have necessitated a corresponding emphasis on trajectory analysis methods for characterizing simulation data, particularly since functional protein motions and transitions are often rare and/or intricate events. Observing that such events give rise to long-tailed spatial distributions, we recently developed a higher-order statistics based dimensionality reduction method, called quasi-anharmonic analysis (QAA), for identifying biophysically-relevant reaction coordinates and substates within MD simulations. Further characterization of conformation space should consider the temporal dynamics specific to each identified substate. Our model uses hierarchical clustering to learn energetically coherent substates and dynamic modes of motion from a 0.5 {mu}s ubiqutin simulation. Autoregressive (AR) modeling within and between states enables a compact and generative description of the conformational landscape as it relates to functional transitions between binding poses. Lacking a predictive component, QAA is extended here within a general AR model appreciative of the trajectory's temporal dependencies and the specific, local dynamics accessible to a protein within identified energy wells. These metastable states and their transition rates are extracted within a QAA-derived subspace using hierarchical Markov clustering to provide parameter sets for the second-order AR model. We show the learned model can be extrapolated to synthesize trajectories of arbitrary length.

Ramanathan, Arvind [ORNL; Agarwal, Pratul K [ORNL

2011-01-01T23:59:59.000Z

128

On-line regression algorithms for learning mechanical models of robots: A survey  

Science Conference Proceedings (OSTI)

With the emergence of more challenging contexts for robotics, the mechanical design of robots is becoming more and more complex. Moreover, their missions often involve unforeseen physical interactions with the environment. To deal with these difficulties, ... Keywords: Adaptive and learning systems, Adaptive control, Mechanical models

Olivier Sigaud; Camille Salaün; Vincent Padois

2011-12-01T23:59:59.000Z

129

Predictions of monthly energy consumption and annual patterns of energy usage for convenience stores by using multiple and nonlinear regression models  

E-Print Network (OSTI)

Thirty convenience stores in College Station, Texas, have been selected as the samples for an energy consumption prediction. The predicted models assist facility energy managers for making decisions of energy demand/supply plans. The models are applied to historical data for two years: 2001 and 2002. The approaches are (1) to analyze nonlinear regression models for long term forecasting of annual patterns compared with outdoor temperature, and (2) to analyze multiple regression models for the building type regardless of outdoor temperature. In the first approach, twenty four buildings are categorized as base load group and no base group. Average temperature, cooling efficiencies, and cooling knot temperature are estimated by nonlinear regression models: segment and parabola models. The adjusted r-square results in good performance up to ninety percent accuracy. In the second approach, the other selected six buildings are categorized as no trend group. This group does not respond to outdoor temperature. As the result, multiple a regression model is formed by combination of variables from the nonlinear models and physical building variables of cooling efficiency, cooling temperature, light bulbs, area, outdoor temperature, and orientation of fronts. This model explains up to sixty percent of all convenience stores' data. In conclusion, the accuracy of prediction models is measured by the adjusted r-square results. Among these three models, the multiple regression model shows the highest adjusted r-square (0.597) over the parabola (0.5419) and segment models (0.4806). When the three models come to the application, the multiple regression model is best fit for no trend data type. However, when it is used to predict the energy consumption with the buildings that relate to outdoor temperature, segment and parabola model provide a better prediction result.

Muendej, Krisanee

2004-08-01T23:59:59.000Z

130

Comparison of multimarker logistic regression models, with application to a genomewide scan of schizophrenia.  

E-Print Network (OSTI)

with asymptotics do not explain the pattern of ?^ seen above, since the multimarker model with fewest parameters has the higher inflation in the med- ian. Other quality control factors could be responsible, but the pre-study QC step should have gone some way... , for example the window on chromosome 16 starting at rs17618203 using the haplotype test, actually become more significant after correction; others are cor- rected by an order of magnitude or more. QC of top ranked windows We examined quality control statistics...

Wason, James M S; Dudbridge, Frank

2010-09-09T23:59:59.000Z

131

Steady Linear Response to Thermal Forcing of an Anomaly Model with an Asymmetric Climatology  

Science Conference Proceedings (OSTI)

An anomaly model linearized around the observed winter climatology is used to study the steady response of the atmosphere to diabatic heating. The model is an R7, nine vertical levels, primitive equations, fully spectral model, derived from the ...

A. Navarra

1990-01-01T23:59:59.000Z

132

Linear and Nonlinear Diagnostic Models of Stationary Eddies in the Upper Troposphere during Northern Summer  

Science Conference Proceedings (OSTI)

The upper tropospheric circulation during northern summer produced by a general circulation model (GCM) is studied using linear and nonlinear barotropic models and by analysing a streamfunction budget. The model experiments and the budget ...

In-Sik Kang; Isaac M. Held

1986-12-01T23:59:59.000Z

133

Validity of the Tangent Linear Approximation in a Moist Convective Cloud Model  

Science Conference Proceedings (OSTI)

The validity of the moist tangent linear model (TLM) derived from a time-dependent 1D Eulerian cloud model is investigated by comparing TLM solutions to differences between results from a nonlinear model identically perturbed. The TLM solutions ...

Seon Ki Park; Kelvin K. Droegemeier

1997-12-01T23:59:59.000Z

134

Results and Comparison from the SAM Linear Fresnel Technology Performance Model: Preprint  

DOE Green Energy (OSTI)

This paper presents the new Linear Fresnel technology performance model in NREL's System Advisor Model. The model predicts the financial and technical performance of direct-steam-generation Linear Fresnel power plants, and can be used to analyze a range of system configurations. This paper presents a brief discussion of the model formulation and motivation, and provides extensive discussion of the model performance and financial results. The Linear Fresnel technology is also compared to other concentrating solar power technologies in both qualitative and quantitative measures. The Linear Fresnel model - developed in conjunction with the Electric Power Research Institute - provides users with the ability to model a variety of solar field layouts, fossil backup configurations, thermal receiver designs, and steam generation conditions. This flexibility aims to encompass current market solutions for the DSG Linear Fresnel technology, which is seeing increasing exposure in fossil plant augmentation and stand-alone power generation applications.

Wagner, M. J.

2012-04-01T23:59:59.000Z

135

Determining manufacturing parameters to suppress system variance using linear and non-linear models  

Science Conference Proceedings (OSTI)

Determining manufacturing parameters for a new product is fundamentally a difficult problem, because there has little suggestion information. There are several researches on this topic, and most of them focus on single specific model or the engineer's ... Keywords: Engineering problem, Manufacturing, TFT-LCD

Der-Chiang Li; Wen-Chih Chen; Chiao-Wen Liu; Che-Jung Chang; Chien-Chih Chen

2012-03-01T23:59:59.000Z

136

Density-based logistic regression  

Science Conference Proceedings (OSTI)

This paper introduces a nonlinear logistic regression model for classification. The main idea is to map the data to a feature space based on kernel density estimation. A discriminative model is then learned to optimize the feature weights as well as ... Keywords: density estimation, logistic regression, medical prediction, nonlinear classification

Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo

2013-08-01T23:59:59.000Z

137

Simulation of Tropical Climate with a Linear Primitive Equation Model  

Science Conference Proceedings (OSTI)

The tropical climate simulated with a new global atmosphere model is presented. The model is purposely designed for climate studies and is still under development. It is designed to bridge the gap between very efficient but simple models of the ...

Richard Seager; Stephen E. Zebiak

1995-10-01T23:59:59.000Z

138

Modeling and Regression  

Science Conference Proceedings (OSTI)

... voltage at elevated temperatures," IEEE Transactions on Electrical Insulation 23, 249-259. ... "A robust estimator for wall following," Communications ...

139

Diagnosing the Impact of Stratospheric Planetary Wave Breaking in a Linear Model  

Science Conference Proceedings (OSTI)

In the past, linear quasigeostrophic theory has proven successful in modeling the vertical and meridional propagation of stationary planetary waves in the stratosphere. Since in such models the wave solution does not sensitively depend on the ...

Christian Hauck; Volkmar Wirth

2001-06-01T23:59:59.000Z

140

Estimating the Spatial Distribution of Precipitation in Iceland Using a Linear Model of Orographic Precipitation  

Science Conference Proceedings (OSTI)

A linear model of orographic precipitation that includes airflow dynamics, condensed water advection, and downslope evaporation is adapted for Iceland. The model is driven using coarse-resolution 40-yr reanalysis data from the European Centre for ...

Philippe Crochet; Tómas Jóhannesson; Trausti Jónsson; Oddur Sigurðsson; Helgi Björnsson; Finnur Pálsson; Idar Barstad

2007-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

A Linear Equivalent Barotropic Model of the Antarctic Circumpolar Current with Realistic Coastlines and Bottom Topography  

Science Conference Proceedings (OSTI)

A linear equivalent barotropic (EB) model is applied to study the effects of the bottom topography H and baroclinicity on the total transport and the position of the Antarctic Circumpolar Current (ACC). The model is based on the observation of ...

Alexander Krupitsky; Vladimir M. Kamenkovich; Naomi Naik; Mark A. Cane

1996-09-01T23:59:59.000Z

142

Nonlinear and linear models for losses of plug in hybrid electric vehicle: A computation approach  

Science Conference Proceedings (OSTI)

This paper presents nonlinear and linear models for the losses of Plug in Hybrid Electric Vehicle (PHEV). An accurate model to calculate the PHEV losses for just one vehicle is not remarkable. However

2013-01-01T23:59:59.000Z

143

Fuzzy Clustering Based Multi-model Support Vector Regression State of Charge Estimator for Lithium-ion Battery of Electric Vehicle  

Science Conference Proceedings (OSTI)

Based on fuzzy clustering and multi-model support vector regression, a novel lithium-ion battery state of charge (SOC) estimating model for electric vehicle is proposed. Fuzzy C-means and Subtractive clustering combined algorithm is employed to implement ...

Xiaosong Hu; Fengchun Sun

2009-08-01T23:59:59.000Z

144

SystemC-AMS high-level modeling of linear analog blocks with power consumption information  

Science Conference Proceedings (OSTI)

SystemC-AMS allows the modeling of complex heterogeneous systems at different levels of abstraction using different modeling styles, called Models of Computation (MoC). This work presents an approach for including energy consumption information in high-level ... Keywords: passive fourth-order low pass filter, systemC-AMS high-level modeling, linear analog blocks, power consumption information, energy consumption information, linear electrical circuits, systemC-AMS linear signal flow MoC, SPICE netlist, state space representation extraction, LSF description level

L. Bousquet; F. Cenni; E. Simeu

2011-03-01T23:59:59.000Z

145

Multi-scale Modelling Applied to Non Linear Constitutive Equations  

Science Conference Proceedings (OSTI)

A Continuum General Noise Brownian Thermostat with Applications to Film Morphology · A Multiscale, Nonlinear, Modeling Framework Enabling the Design and ...

146

Direct-Steam Linear Fresnel Performance Model for NREL's System Advisor Model  

DOE Green Energy (OSTI)

This paper presents the technical formulation and demonstrated model performance results of a new direct-steam-generation (DSG) model in NREL's System Advisor Model (SAM). The model predicts the annual electricity production of a wide range of system configurations within the DSG Linear Fresnel technology by modeling hourly performance of the plant in detail. The quasi-steady-state formulation allows users to investigate energy and mass flows, operating temperatures, and pressure drops for geometries and solar field configurations of interest. The model includes tools for heat loss calculation using either empirical polynomial heat loss curves as a function of steam temperature, ambient temperature, and wind velocity, or a detailed evacuated tube receiver heat loss model. Thermal losses are evaluated using a computationally efficient nodal approach, where the solar field and headers are discretized into multiple nodes where heat losses, thermal inertia, steam conditions (including pressure, temperature, enthalpy, etc.) are individually evaluated during each time step of the simulation. This paper discusses the mathematical formulation for the solar field model and describes how the solar field is integrated with the other subsystem models, including the power cycle and optional auxiliary fossil system. Model results are also presented to demonstrate plant behavior in the various operating modes.

Wagner, M. J.; Zhu, G.

2012-09-01T23:59:59.000Z

147

New classical r-matrices from integrable non-linear sigma models  

E-Print Network (OSTI)

Non linear sigma models on Riemannian symmetric spaces constitute the most general class of classical non-linear sigma models which are known to be integrable. Using the current algebra structure of these models their canonical structure is analysed and it is shown that their non ultralocal fundamental Poisson bracket relation is governed by a field dependent non antisymmetric r-matrix obeying a dynamical Yang Baxter equation. Contribution presented at the XIX ICGTMP Salamanca June 92

Laartz, J; Forger, M; Schäper, U

1992-01-01T23:59:59.000Z

148

E-model for Transportation Problem of Linear Stochastic Fractional ...  

E-Print Network (OSTI)

studied stochastic transportation model for petroleum transport as well ... homogenous commodity from m sources to n of destinations, where the demand for the.

149

Nonlinear Normal Mode Initialization of a Limited-Area Model: Inclusion of All Beta Terms in the Linearized Model Equations  

Science Conference Proceedings (OSTI)

A nonlinear normal mode initialization method with all of the beta terms included in the linearized model equations is formulated for a limited-area model. It is the extension of an earlier method examining the sensitivity of nonlinear normal ...

S. J. Bijlsma

1991-04-01T23:59:59.000Z

150

A Method for Direct Solution of a Steady Linearized Spectral General Circulation Model  

Science Conference Proceedings (OSTI)

A steady linearized version of a general circulation model (GCM) is a potentially useful tool for diagnosis and understanding of the time-mean solutions of the GCM. A method is developed for direct solution of the linearized equations. The method ...

Edwin K. Schneider

1989-10-01T23:59:59.000Z

151

Development of the Upgraded Tangent Linear and Adjoint of the Weather Research and Forecasting (WRF) Model  

Science Conference Proceedings (OSTI)

The authors propose a new technique for parallelizations of tangent linear and adjoint codes, which were applied in the redevelopment for the Weather Research and Forecasting (WRF) model with its Advanced Research WRF dynamic core using the ...

Xin Zhang; Xiang-Yu Huang; Ning Pan

2013-06-01T23:59:59.000Z

152

A Linear Stochastic Model of a GCM’s Midlatitude Storm Tracks  

Science Conference Proceedings (OSTI)

A linear stochastic model is used to simulate the midlatitude storm tracks produced by an atmospheric GCM. A series of six perpetual insolation/SST GCM experiments are first performed for each month. These experiments capture the “midwinter ...

Yunqing Zhang; Isaac M. Held

1999-10-01T23:59:59.000Z

153

Linearization of an Oceanic General Circulation Model for Data Assimilation and Climate Studies  

Science Conference Proceedings (OSTI)

A recipe for the linearization and state reduction of a general circulation model (GCM) is evaluated in a North Pacific test basin. The underlying assumption is that modern GCMs are, or will become, sufficiently accurate so that large-scale ...

Dimitris Menemenlis; Carl Wunsch

1997-12-01T23:59:59.000Z

154

An Estimation of the Bulk Transfer Coefficients for a Bare Soil Surface Using a Linear Model  

Science Conference Proceedings (OSTI)

A linear heat budget model is developed to estimate the daytime means of the bulk transfer coefficients for heat and evaporation efficiency using the daily variation of observational data. The daily variation of shortwave radiation, ground-level ...

Dai Matsushima; Junsei Kondo

1995-04-01T23:59:59.000Z

155

N = (2, 2) Non-Linear sigma-Models: A Synopsis  

E-Print Network (OSTI)

We review N=(2,2) supersymmetric non-linear sigma-models in two dimensions and their relation to generalized Kahler and Calabi-Yau geometry. We illustrate this with an explicit non-trivial example.

Alexander Sevrin; Daniel C. Thompson

2013-05-21T23:59:59.000Z

156

A Linear Model of Wintertime Low-Frequency Variability. Part I: Formulation and Forecast Skill  

Science Conference Proceedings (OSTI)

A linear inverse model (LIM) suitable for studies of atmospheric extratropical variability on longer than weekly timescales is constructed using observations of the past 30 years. Notably, it includes tropical diabatic heating as an evolving ...

Christopher R. Winkler; Matthew Newman; Prashant D. Sardeshmukh

2001-12-01T23:59:59.000Z

157

Prediction of Tropical Atlantic Sea Surface Temperatures Using Linear Inverse Modeling  

Science Conference Proceedings (OSTI)

The predictability of tropical Atlantic sea surface temperature on seasonal to interannual timescales by linear inverse modeling is quantified. The authors find that predictability of Caribbean Sea and north tropical Atlantic sea surface ...

Cécile Penland; Ludmila Matrosova

1998-03-01T23:59:59.000Z

158

Quasi-Linear Blocks Forced by Orography in a Hemispheric, Quasi-Geostrophic Barotropic Model  

Science Conference Proceedings (OSTI)

Stationary linear perturbation responses to Northern Hemisphere orography are calculated in a quasi-geostrophic barotropic model in solid-body rotation. The stationary mountain torque induced by these perturbations is then used to construct ...

John O. Roads

1981-07-01T23:59:59.000Z

159

Bounding the electrostatic free energies associated with linear continuum models of molecular solvation  

Science Conference Proceedings (OSTI)

The importance of electrostatic interactions in molecular biology has driven extensive research toward the development of accurate and efficient theoretical and computational models. Linear continuum electrostatic theory has been surprisingly successful

Jaydeep P. Bardhan; Matthew G. Knepley; Mihai Anitescu

2009-01-01T23:59:59.000Z

160

Non-linear approximations for solving 3D-packing MIP models: a ...  

E-Print Network (OSTI)

MINLP solvers up to exploiting linear substructures of the mathematical model. ..... Floudas CA (1995) Nonlinear and Mixed Integer Optimization: Fundamentals and ... (1999) Handbook of Test Problems in Local and Global Optimization.

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Variational bayesian inference for point process generalized linear models in neural spike trains analysis  

E-Print Network (OSTI)

Point process generalized linear models (GLMs) have been widely used for neural spike trains analysis. Statistical inference for GLMs include maximum likelihood and Bayesian estimation. Variational Bayesian (VB) methods ...

Chen, Zhe

162

Non-linear inversion modeling for Ultrasound Computer Tomography: transition from soft to hard tissues imaging  

E-Print Network (OSTI)

Non-linear inversion modeling for Ultrasound Computer Tomography: transition from soft to hard, the tomographic procedure used is adapted to broadband data acquired in scattering configurations while, Iterative Approximation, Soft Tissues Imaging, Hard Tissues Imaging, Breast, Bones 1. INTRODUCTION

163

The Quasi-Linear Equilibration of a Thermally Maintained, Stochastically Excited Jet in a Quasigeostrophic Model  

Science Conference Proceedings (OSTI)

A theory for quasigeostrophic turbulence in baroclinic jets is examined in which interaction between the mean flow and the perturbations is explicitly modeled by the nonnormal operator obtained by linearization about the mean flow, while the eddy–...

Timothy Delsole; Brian F. Farrell

1996-07-01T23:59:59.000Z

164

Vibration Model Validation for Linear Collider Detector Platforms  

SciTech Connect

The ILC and CLIC reference designs incorporate reinforced-concrete platforms underneath the detectors so that the two detectors can each be moved onto and off of the beamline in a Push-Pull configuration. These platforms could potentially amplify ground vibrations, which would reduce luminosity. In this paper we compare vibration models to experimental data on reinforced concrete structures, estimate the impact on luminosity, and summarize implications for the design of a reinforced concrete platform for the ILC or CLIC detectors.

Bertsche, Kirk; Amann, J.W.; Markiewicz, T.W.; Oriunno, M.; Weidemann, A.; White, G.; /SLAC

2012-05-16T23:59:59.000Z

165

Battery Life Estimator Manual Linear Modeling and Simulation  

DOE Green Energy (OSTI)

The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

2009-08-01T23:59:59.000Z

166

Characteristics of identifying linear dynamic models from impulse response data using Prony analysis  

SciTech Connect

The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general rules-of-thumb'' for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.

Trudnowski, D.J.

1992-12-01T23:59:59.000Z

167

Characteristics of identifying linear dynamic models from impulse response data using Prony analysis  

SciTech Connect

The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general ``rules-of-thumb`` for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.

Trudnowski, D.J.

1992-12-01T23:59:59.000Z

168

Modeling and linear function parametric identification for a helicopter main rotor  

Science Conference Proceedings (OSTI)

A model of a helicopter test rotor obtained according to the Euler-Lagrange approach is presented. A simplified linear representation for this model, suitable for control system design, is also proposed. The dynamics of the helicopter test rotor are ... Keywords: helicopter rotors, identification, modeling

José M. Molinar-Monterrubio; Rafael Castro-Linares; Eduardo Licéaga-Castro

2007-05-01T23:59:59.000Z

169

Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers  

Science Conference Proceedings (OSTI)

The multivariate linear mixed model (MLMM) has become the most widely used tool for analyzing multi-outcome longitudinal data. Although it offers great flexibility for modeling the between- and within-subject correlation among multi-outcome repeated ... Keywords: 62F15, 62H12, 91-08, Conditional conjugate priors, Hierarchical models, Inverse Bayes formulas, MCMC, Multivariate longitudinal data

Wan-Lun Wang; Tsai-Hung Fan

2012-02-01T23:59:59.000Z

170

A comparative study of non linear MISO process modelling techniques: application to a chemical reactor  

Science Conference Proceedings (OSTI)

This paper proposes the design and a comparative study of two non linear Multiple Input Single Output (MISO) models. The first, titled Volterra model, is built using Volterra series and the second, named RKHS model, uses the Statistical Learning Theory ... Keywords: RKHS, Volterra, chemical reactor, statistical learning theory

Okba Taouali; Nabiha Saidi; Hassani Messaoud

2009-05-01T23:59:59.000Z

171

Modeling the Interaction between Cumulus Convection and Linear Gravity Waves Using a Limited-Domain Cloud System–Resolving Model  

Science Conference Proceedings (OSTI)

A limited-domain cloud system–resolving model (CSRM) is used to simulate the interaction between cumulus convection and two-dimensional linear gravity waves, a single horizontal wavenumber at a time. With a single horizontal wavenumber, soundings ...

Zhiming Kuang

2008-02-01T23:59:59.000Z

172

Analysis of General Circulation Model Sea-Surface Temperature Anomaly Simulations Using a Linear Model. Part I: Forced Solutions  

Science Conference Proceedings (OSTI)

Experiments are presented which indicate that many features of the response of a general circulation model to sea-surface temperature anomalies in the equatorial Pacific east of the dateline can be reproduced with a linear nondivergent barotropic ...

Grant Branstator

1985-11-01T23:59:59.000Z

173

Correlation between Median Household Income and LEED Sustainable Site Criteria for Public Transportation Access and a Regression Model Predicting Appraised Unit Value of Unimproved Parcels in Houston, Texas  

E-Print Network (OSTI)

The Leadership in Energy and Environmental Design (LEED) Green Building Rating System provides third-party verification for environmentally sustainable construction. LEED certified buildings often provide healthier work and living environments, however, it does not provide any direct economic incentives to the owners and developers. An early research suggested that there was a significant correlation between appraised unit value of a parcel and LEED sustainable site criteria for public transportation access. Moreover, the regression model for predicting appraised unit value of a parcel suggested that the coefficient of Number of Light Rail Stations was positive, while the coefficient of Number of Bus Stops was negative. This result contradicted our original expectation that both number of bus stops and light rail stations could have a positive effect on the appraised unit value. Hence it becomes important to conduct further research to explain this phenomenon. In this research, Pearson correlation was examined to determine whether there is a significant correlation between median household income and the number of bus stops and light rail stations for a given parcel that meet LEED sustainable site criteria for public transportation access. After confirming no significant correlation exists, multiple regression analysis was applied to establish a regression model for predicting unit value of a given parcel using number of bus stops and light rail stations for a given parcel that meet LEED sustainable site criteria for public transportation access, median household income and parcel area as the independent variables. Result of Pearson correlation indicated that there was no significant correlation exists between median household income and the number of bus stops and light rail stations for a given parcel which met LEED sustainable site criteria for public transportation access. Findings of multiple regression analysis suggested that all independent variables were significant predictors for unit value of a parcel. Besides, this regression model had a higher adjusted R- square value than that of the model which was established by Bhagyashri Joshi. It means that this regression model could better predict appraised unit value of an unimproved parcel.

Ji, Qundi

2010-05-01T23:59:59.000Z

174

A Linear Model Study of Cross-Equatorial Flow Forced by Summer Monsoon Heat Sources  

Science Conference Proceedings (OSTI)

A linear model of the steady response of a stratified fluid to isolated heat sources on a sphere is developed. The model is used to examine the response to diabatic heating associated with summer monsoon precipitation in India and to low-level ...

Keith D. Sashegyi; John E. Geisler

1987-07-01T23:59:59.000Z

175

Linear driving force models for dynamic adsorption of volatile organic compound traces by porous adsorbent beds  

Science Conference Proceedings (OSTI)

Models for the dynamic adsorption of volatile organic compound (VOC) traces in air are considered. They are based on the linear driving force approximation associated with various adsorption isotherms characteristic of the couple VOC-adsorbent (Langmuir, ... Keywords: Comsol, Dubinin-Astakhov isotherm, Dynamic adsorption modelling, Finite element

Agnès Joly; Alain Perrard

2009-08-01T23:59:59.000Z

176

Solving large-scale sparse eigenvalue problems and linear systems of equations for accelerator modeling  

SciTech Connect

The solutions of sparse eigenvalue problems and linear systems constitute one of the key computational kernels in the discretization of partial differential equations for the modeling of linear accelerators. The computational challenges faced by existing techniques for solving those sparse eigenvalue problems and linear systems call for continuing research to improve on the algorithms so that ever increasing problem size as required by the physics application can be tackled. Under the support of this award, the filter algorithm for solving large sparse eigenvalue problems was developed at Stanford to address the computational difficulties in the previous methods with the goal to enable accelerator simulations on then the world largest unclassified supercomputer at NERSC for this class of problems. Specifically, a new method, the Hemitian skew-Hemitian splitting method, was proposed and researched as an improved method for solving linear systems with non-Hermitian positive definite and semidefinite matrices.

Gene Golub; Kwok Ko

2009-03-30T23:59:59.000Z

177

Bayesian and non-Bayesian contributions to fuzzy regression analysis.  

E-Print Network (OSTI)

??In this dissertation, the performance of the newly developed Fuzzy Regression analysis is explored in various ways. First, the Fuzzy Regression model is compared with… (more)

Feng, Hui

2006-01-01T23:59:59.000Z

178

A Wave Amplitude Transition in a Quasi-Linear Model with Radiative Forcing and Surface Drag  

Science Conference Proceedings (OSTI)

A quasi-linear two-layer quasigeostrophic ?-plane model of the interaction between a baroclinic jet and a single zonal wavenumber perturbation is used to study the mechanics leading to a wave amplitude bifurcation—in particular, the role of the ...

Orli Lachmy; Nili Harnik

2009-11-01T23:59:59.000Z

179

Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion  

E-Print Network (OSTI)

Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion Dagfinn combustion have been proposed as an alternative to conventional gas turbine cycles for achieving CO2-capture for CO2 sequestration purposes. While combustion instabilities is a problem in modern conventional gas

Foss, Bjarne A.

180

Parametric investigations for extrapolation of a log-linear creep model  

Science Conference Proceedings (OSTI)

The mathematical modelling of certain nonlinear physical phenomena has traditionally been expedited by transforming an equation of the general form y=a+bx^n to a linear one by logarithms and solving for the parameters by graphical techniques or least-squares ...

S. H. Foust; K. P. Chong

1988-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

DDoS attack detection method based on linear prediction model  

Science Conference Proceedings (OSTI)

Distributed denial of service (DDoS) attack is one of the major threats to the current Internet. The IP Flow feature value (FFV) algorithm is proposed based on the essential features of DDoS attacks, such as the abrupt traffic change, flow dissymmetry, ... Keywords: ARMA model, attack features, distributed denial of service, linear prediction, network security

Jieren Cheng; Jianping Yin; Chengkun Wu; Boyun Zhang; Yun Liu

2009-09-01T23:59:59.000Z

182

Generalized linear model-based expert system for estimating the cost of transportation projects  

Science Conference Proceedings (OSTI)

Timely effective cost management requires reliable cost estimates at every stage of project development. While underestimation of transportation costs seems to be a global trend, improving early cost prediction accuracy in estimates is difficult. This ... Keywords: Cost management, Expert system, Generalized linear model, Relational database, Transportation projects

Jui-Sheng Chou

2009-04-01T23:59:59.000Z

183

Formant tracking linear prediction model using HMMs and Kalman filters for noisy speech processing  

Science Conference Proceedings (OSTI)

This paper presents a formant tracking linear prediction (LP) model for speech processing in noise. The main focus of this work is on the utilization of the correlation of the energy contours of speech, along the formant tracks, for improved formant ...

Qin Yan; Saeed Vaseghi; Esfandiar Zavarehei; Ben Milner; Jonathan Darch; Paul White; Ioannis Andrianakis

2007-07-01T23:59:59.000Z

184

Decadal Predictability of the Atlantic Ocean in a Coupled GCM: Forecast Skill and Optimal Perturbations Using Linear Inverse Modeling  

Science Conference Proceedings (OSTI)

The decadal predictability of three-dimensional Atlantic Ocean anomalies is examined in a coupled global climate model [the third climate configuration of the Met Office Unified Model (HadCM3)] using a linear inverse modeling (LIM) approach. It ...

Ed Hawkins; Rowan Sutton

2009-07-01T23:59:59.000Z

185

Application of a Linear Input/Output Model to Tankless Water Heaters  

DOE Green Energy (OSTI)

In this study, the applicability of a linear input/output model to gas-fired, tankless water heaters has been evaluated. This simple model assumes that the relationship between input and output, averaged over both active draw and idle periods, is linear. This approach is being applied to boilers in other studies and offers the potential to make a small number of simple measurements to obtain the model parameters. These parameters can then be used to predict performance under complex load patterns. Both condensing and non-condensing water heaters have been tested under a very wide range of load conditions. It is shown that this approach can be used to reproduce performance metrics, such as the energy factor, and can be used to evaluate the impacts of alternative draw patterns and conditions.

Butcher T.; Schoenbauer, B.

2011-12-31T23:59:59.000Z

186

Support vector regression with chaos-based firefly algorithm for stock market price forecasting  

Science Conference Proceedings (OSTI)

Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as the Box-Jenkins autoregressive integrated moving average (ARIMA) are not adequate for stock market ... Keywords: Chaotic mapping, Firefly algorithm, Stock market price forecasting, Support vector regression

Ahmad Kazem; Ebrahim Sharifi; Farookh Khadeer Hussain; Morteza Saberi; Omar Khadeer Hussain

2013-02-01T23:59:59.000Z

187

A Comparison between Raw Ensemble Output, (Modified) Bayesian Model Averaging, and Extended Logistic Regression Using ECMWF Ensemble Precipitation Reforecasts  

Science Conference Proceedings (OSTI)

Using a 20-yr ECMWF ensemble reforecast dataset of total precipitation and a 20-yr dataset of a dense precipitation observation network in the Netherlands, a comparison is made between the raw ensemble output, Bayesian model averaging (BMA), and ...

Maurice J. Schmeits; Kees J. Kok

2010-11-01T23:59:59.000Z

188

Simulation of Mobile Wireless Networks with Accurate Modelling of Non-linear Battery Effects  

E-Print Network (OSTI)

For the simulation of protocols and algorithms of mobile devices, an ideal energy source, i.e. a battery with linear charge and discharge characteristics, is often assumed. However, real batteries like lithium-ion cells show nonlinear behavior, taking Rate Capacity Effect and Recovery Effect into account. The battery model presented by Rakhmatov and Vrudhula models non-linear battery behavior and can be utilized for lifetime optimization strategies since it provides a formal cost metric. A drawback of this lifetime optimization algorithm is that the load profile of the battery has to be known completely in advance. An estimation of battery lifetime at simulation runtime is not feasible. We present an algorithm for a runtime estimation of battery lifetime of lithium-ion cells. Our algorithm allows the integration of a non-linear battery model into network simulation environments for mobile devices. As an example, we describe the integration of our algorithm for battery lifetime estimation into a popular network simulation tool.

D. Timmermann

2003-01-01T23:59:59.000Z

189

Predictability of Linear Coupled Systems. Part II: An Application to a Simple Model of Tropical Atlantic Variability  

Science Conference Proceedings (OSTI)

A predictability analysis developed within a general framework of linear stochastic dynamics in a companion paper is applied to a simple coupled climate model of tropical Atlantic variability (TAV). The simple model extends the univariate ...

Ping Chang; R. Saravanan; Faming Wang; Link Ji

2004-04-01T23:59:59.000Z

190

Estimation of Sensible and Latent Heat Fluxes from Soil Surface Temperature Using a Linear Air-Land Heat Transfer Model  

Science Conference Proceedings (OSTI)

The authors present a linearized model of the heat transfer between the soil layer and the atmosphere. Using this model, the moisture availability at the surface can be estimated from the diurnal variations of the soil surface temperature and ...

Fujio Kimura; Yugo Shimizu

1994-04-01T23:59:59.000Z

191

Duality, thermodynamics, and the linear programming problem in constraint-based models of metabolism  

E-Print Network (OSTI)

It is shown that the dual to the linear programming problem that arises in constraint-based models of metabolism can be given a thermodynamic interpretation in which the shadow prices are chemical potential analogues, and the objective is to minimise free energy consumption given a free energy drain corresponding to growth. The interpretation is distinct from conventional non-equilibrium thermodynamics, although it does satisfy a minimum entropy production principle. It can be used to motivate extensions of constraint-based modelling, for example to microbial ecosystems.

Patrick B. Warren; Janette L. Jones

2007-02-09T23:59:59.000Z

192

Angular momentum transport modeling: achievements of a gyrokinetic quasi-linear approach  

E-Print Network (OSTI)

QuaLiKiz, a model based on a local gyrokinetic eigenvalue solver is expanded to include momentum flux modeling in addition to heat and particle fluxes. Essential for accurate momentum flux predictions, the parallel asymmetrization of the eigenfunctions is successfully recovered by an analytical fluid model. This is tested against self-consistent gyrokinetic calculations and allows for a correct prediction of the ExB shear impact on the saturated potential amplitude by means of a mixing length rule. Hence, the effect of the ExB shear is recovered on all the transport channels including the induced residual stress. Including these additions, QuaLiKiz remains ~10 000 faster than non-linear gyrokinetic codes allowing for comparisons with experiments without resorting to high performance computing. The example is given of momentum pinch calculations in NBI modulation experiments.

Cottier, P; Camenen, Y; Gurcan, O D; Casson, F J; Garbet, X; Hennequin, P; Tala, T

2014-01-01T23:59:59.000Z

193

Robust regression for high throughput drug screening  

Science Conference Proceedings (OSTI)

Effective analysis of high throughput screening (HTS) data requires automation of dose-response curve fitting for large numbers of datasets. Datasets with outliers are not handled well by standard non-linear least squares methods, and manual outlier ... Keywords: Agonist activity, Dose-response curve, HTS, IRLS, M-estimation, Robust regression

Igor Fomenko; Mark Durst; David Balaban

2006-04-01T23:59:59.000Z

194

Regression Model Predicting Appraised Unit Value of Land in San Francisco County from Number of and Distance to Public Transit Stops using GIS  

E-Print Network (OSTI)

The objective of this study is to develop a quantifying model that predicts the appraised unit value of parcels in San Francisco County based on number of LEED-NC Public Transportation Access (PTA) qualified bus, light rail and commuter rail stops, distance to closest bus, light rail and commuter rail stops, zoning class and parcel size. As a population of interest, San Francisco County was chosen since it is known as a region having well-organized transportation systems including bus, light rail and commuter rail systems. According to the correlation results, for mixed zone, an appraised unit value increases as the number of LEED qualified transit stops increases (bus, light rail, and commuter rail). In addition, the appraised unit value increases as the distance to LEED qualified bus stops light rail stops decreases. For residential zone, the appraised unit value increases as the number of LEED qualified bus and light rail stations increases. Furthermore, the appraised unit value increases as the distance to LEED qualified bus stops decreases. When it comes to the predictive regression model for mixed zone, the adjusted R-square of the transformed model was 0.713, which indicates that 71.3 percent variability in transformed unit value of parcels could be explained by these variables. In addition, for the predictive model of residential zone, the adjusted R-square for the model was 0.622 thus the independent variables together accounted for 62.2 percent variability in the transformed unit value of parcels. The predicting models for mixed and residential zones were significant that suggests that the components of LEED-NC PTA criteria, number and distance from parcels, this could affect land development strategies. In addition, an appraised unit value of parcels in San Francisco County can be estimated by using the predictive models developed in this study. Therefore, the findings of this study could encourage real-estate developers to site their projects according to the LEED-NC PTA criteria.

Son, Kiyoung

2012-05-01T23:59:59.000Z

195

Parametric Optimization of Linear and Non-Linear Models via Parallel Computing to Enhance Web-Spatial DSS Interactivity  

Science Conference Proceedings (OSTI)

A web based Spatial Decision Support System web SDSS has been implemented in Thessaly, the most significant arable cropping region in Greece, to evaluate energy crop supply. The web SDSS uses an optimization module to support the decision process launching ... Keywords: Common Agricultural Policy CAP, Farm Model, Parallel Programming, Positive Mathematical Programming PMP, Spatial Decision Support Systems SDSS

D. Kremmydas; A. Petsakos; S. Rozakis

2012-01-01T23:59:59.000Z

196

Transformer modelling for distribution system studies. Part 1; Linear modelling basics  

SciTech Connect

In this paper a distribution transformer modelling procedure is discussed which represents the distribution transformer with a minimum of input data for network, load, and fault studies thereby allowing the transformer to be routinely included as part of the distribution network. The method presented in this paper illustrates how transformer models are developed and how their parameters are estimated.

Gorman, M.J.; Grainger, J.J. (Electric Power Research Center, North Carolina State Univ., Raleigh, NC (US))

1992-04-01T23:59:59.000Z

197

Possibility of Skill Forecast Based on the Finite-Time Dominant Linear Solutions for a Primitive Equation Regional Forecast Model  

Science Conference Proceedings (OSTI)

The possibility of using forecast errors originating from the finite-time dominant linear modes for the prediction of forecast skill for a primitive equation regional forecast model is studied. This is similar to the method for skill prediction ...

Tomislava Vuki?evi?

1993-06-01T23:59:59.000Z

198

A Direct Inverse Method for Inferring Open Boundary Conditions of a Finite-Element Linear Harmonic Ocean Circulation Model  

Science Conference Proceedings (OSTI)

A direct inverse method is presented for inferring numerical model open boundary conditions from interior observational data. The dynamical context of the method is the frequency-domain 3D linear shallow water equations. A set of weight matrices ...

Zhigang Xu

1998-12-01T23:59:59.000Z

199

Convective Entrainment into a Shear-Free, Linearly Stratified Atmosphere: Bulk Models Reevaluated through Large Eddy Simulations  

Science Conference Proceedings (OSTI)

Relationships between parameters of convective entrainment into a shear-free, linearly stratified atmosphere predicted by the zero-order jump and general-structure bulk models of entrainment are reexamined using data from large eddy simulations (...

Evgeni Fedorovich; Robert Conzemius; Dmitrii Mironov

2004-02-01T23:59:59.000Z

200

The impact of parallel programming models on the performance of iterative linear solvers for finite element applications  

Science Conference Proceedings (OSTI)

Parallel iterative linear solvers for unstructured grids in FEM applications, originally developed for the Earth Simulator (ES), are ported to various types of parallel computer. The performance of flat MPI and hybrid parallel programming models is compared ...

Kengo Nakajima

2006-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

A semiempirical linear model of indirect, flat-panel x-ray detectors  

Science Conference Proceedings (OSTI)

Purpose: It is important to understand signal and noise transfer in the indirect, flat-panel x-ray detector when developing and optimizing imaging systems. For optimization where simulating images is necessary, this study introduces a semiempirical model to simulate projection images with user-defined x-ray fluence interaction. Methods: The signal and noise transfer in the indirect, flat-panel x-ray detectors is characterized by statistics consistent with energy-integration of x-ray photons. For an incident x-ray spectrum, x-ray photons are attenuated and absorbed in the x-ray scintillator to produce light photons, which are coupled to photodiodes for signal readout. The signal mean and variance are linearly related to the energy-integrated x-ray spectrum by empirically determined factors. With the known first- and second-order statistics, images can be simulated by incorporating multipixel signal statistics and the modulation transfer function of the imaging system. To estimate the semiempirical input to this model, 500 projection images (using an indirect, flat-panel x-ray detector in the breast CT system) were acquired with 50-100 kilovolt (kV) x-ray spectra filtered with 0.1-mm tin (Sn), 0.2-mm copper (Cu), 1.5-mm aluminum (Al), or 0.05-mm silver (Ag). The signal mean and variance of each detector element and the noise power spectra (NPS) were calculated and incorporated into this model for accuracy. Additionally, the modulation transfer function of the detector system was physically measured and incorporated in the image simulation steps. For validation purposes, simulated and measured projection images of air scans were compared using 40 kV/0.1-mm Sn, 65 kV/0.2-mm Cu, 85 kV/1.5-mm Al, and 95 kV/0.05-mm Ag. Results: The linear relationship between the measured signal statistics and the energy-integrated x-ray spectrum was confirmed and incorporated into the model. The signal mean and variance factors were linearly related to kV for each filter material (r{sup 2} of signal mean to kV: 0.91, 0.93, 0.86, and 0.99 for 0.1-mm Sn, 0.2-mm Cu, 1.5-mm Al, and 0.05-mm Ag, respectively; r{sup 2} of signal variance to kV: 0.99 for all four filters). The comparison of the signal and noise (mean, variance, and NPS) between the simulated and measured air scan images suggested that this model was reasonable in predicting accurate signal statistics of air scan images using absolute percent error. Overall, the model was found to be accurate in estimating signal statistics and spatial correlation between the detector elements of the images acquired with indirect, flat-panel x-ray detectors. Conclusions: The semiempirical linear model of the indirect, flat-panel x-ray detectors was described and validated with images of air scans. The model was found to be a useful tool in understanding the signal and noise transfer within indirect, flat-panel x-ray detector systems.

Huang, Shih-Ying; Yang Kai; Abbey, Craig K.; Boone, John M. [Department of Biomedical Engineering, University of California, Davis, California, One Shields Avenue, Davis, California 95616 (United States) and Department of Radiology, University of California, Davis, Medical Center, 4860 Y Street, Ambulatory Care Center Suite 0505, Sacramento, California 95817 (United States); Department of Radiology, University of California, Davis, Medical Center, 4860 Y Street, Ambulatory Care Center Suite 0505, Sacramento, California 95817 (United States); Department of Psychological and Brain Sciences, University of California, Santa Barbara, California 92106 (United States); Department of Biomedical Engineering, University of California, Davis, California, One Shields Avenue, Davis, California 95616 (United States) and Department of Radiology, University of California, Davis, Medical Center, 4860 Y Street, Ambulatory Care Center Suite 3100, Sacramento, California 95817 (United States)

2012-04-15T23:59:59.000Z

202

The Component Slope Linear Model for Calculating Intensive Partial Molar Properties: Application to Waste Glasses  

SciTech Connect

Partial molar properties are the changes occurring when the fraction of one component is varied while the fractions of all other component mole fractions change proportionally. They have many practical and theoretical applications in chemical thermodynamics. Partial molar properties of chemical mixtures are difficult to measure because the component mole fractions must sum to one, so a change in fraction of one component must be offset with a change in one or more other components. Given that more than one component fraction is changing at a time, it is difficult to assign a change in measured response to a change in a single component. In this study, the Component Slope Linear Model (CSLM), a model previously published in the statistics literature, is shown to have coefficients that correspond to the intensive partial molar properties. If a measured property is plotted against the mole fraction of a component while keeping the proportions of all other components constant, the slope at any given point on a graph of this curve is the partial molar property for that constituent. Actually plotting this graph has been used to determine partial molar properties for many years. The CSLM directly includes this slope in a model that predicts properties as a function of the component mole fractions. This model is demonstrated by applying it to the constant pressure heat capacity data from the NaOH-NaAl(OH{sub 4}H{sub 2}O system, a system that simplifies Hanford nuclear waste. The partial molar properties of H{sub 2}O, NaOH, and NaAl(OH){sub 4} are determined. The equivalence of the CSLM and the graphical method is verified by comparing results detennined by the two methods. The CSLM model has been previously used to predict the liquidus temperature of spinel crystals precipitated from Hanford waste glass. Those model coefficients are re-interpreted here as the partial molar spinel liquidus temperature of the glass components.

Reynolds, Jacob G. [Washington River Protection Solutions, Richland, WA (United States)

2013-01-11T23:59:59.000Z

203

Analyzing Regression Test Selection Techniques  

Science Conference Proceedings (OSTI)

Abstract¿Regression testing is a necessary but expensive maintenance activity aimed at showing that code has not been adversely affected by changes. Regression test selection techniques reuse tests from an existing test suite to test a modified program. ... Keywords: Software maintenance, regression testing, selective retest, regression test selection.

Gregg Rothermel; Mary Jean Harrold

1996-08-01T23:59:59.000Z

204

Scale-Selective Ridge Regression for Multimodel Forecasting  

Science Conference Proceedings (OSTI)

This paper proposes a new approach to linearly combining multimodel forecasts, called scale-selective ridge regression, which ensures that the weighting coefficients satisfy certain smoothness constraints. The smoothness constraint reflects the “...

Timothy DelSole; Liwei Jia; Michael K. Tippett

2013-10-01T23:59:59.000Z

205

Learning and transferring geographically weighted regression trees across time  

Science Conference Proceedings (OSTI)

The Geographically Weighted Regression (GWR) is a method of spatial statistical analysis which allows the exploration of geographical differences in the linear effect of one or more predictor variables upon a response variable. The parameters of this ...

Annalisa Appice; Michelangelo Ceci; Donato Malerba; Antonietta Lanza

2011-10-01T23:59:59.000Z

206

Linear modeling and simulation of low-voltage electric system for single-point vulnerability assessment of military installation  

Science Conference Proceedings (OSTI)

This paper describes the formulation and development of a linear model to support the single-point vulnerability assessment of electric distribution systems at existing and future U.S. Department of Defense (DoD) military sites. The model uses flow sensitivity ...

Edgar C. Portante; Thomas N. Taxon; James A. Kavicky; Tarek Abdallah; Timothy K. Perkins

2008-12-01T23:59:59.000Z

207

Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects  

Science Conference Proceedings (OSTI)

Estimation of generalized linear mixed models (GLMMs) with non-nested random effects structures requires the approximation of high-dimensional integrals. Many existing methods are tailored to the low-dimensional integrals produced by nested designs. ... Keywords: EM algorithm, Fully exponential Laplace approximation, Joint model, Multiple membership, Multivariate, Sparse matrix

Andrew T. Karl, Yan Yang, Sharon L. Lohr

2014-05-01T23:59:59.000Z

208

Improved interval estimation of long run response from a dynamic linear model: A highest density region approach  

Science Conference Proceedings (OSTI)

This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the bias-corrected bootstrap, in which small sample biases associated with the parameter estimators ... Keywords: ARDL model, Bias-correction, Bootstrapping, Highest density region, Long run elasticity

Jae H. Kim; Iain Fraser; Rob J. Hyndman

2011-08-01T23:59:59.000Z

209

Study of Higgs self couplings of a supersymmetric $E_6$ model at the International Linear Collider  

E-Print Network (OSTI)

We study the Higgs self couplings of a supersymmetric $E_6$ model that has two Higgs doublets and two Higgs singlets. The lightest scalar Higgs boson in the model may be heavier than 112 GeV, at the one-loop level, where the negative results for the Higgs search at the LEP2 experiments are taken into account. The contributions from the top and scalar top quark loops are included in the radiative corrections to the one-loop mass of the lightest scalar Higgs boson, in the effective potential approximation. The effect of the Higgs self couplings may be observed in the production of the lightest scalar Higgs bosons in $e^+e^-$ collisions at the International Linear Collider (ILC) via double Higgs-strahlung process. For the center of mass energy of 500 GeV with the integrated luminosity of 500 fb$^{-1}$ and the efficiency of 20 %, we expect that at least 5 events of the lightest scalar Higgs boson may be produced at the ILC via double Higgs-strahlung process.

S. W. Ham; Kideok Han; Jungil Lee; S. K. Oh

2009-11-30T23:59:59.000Z

210

A generalized linear-quadratic model incorporating reciprocal time pattern of radiation damage repair  

Science Conference Proceedings (OSTI)

Purpose: It has been conventionally assumed that the repair rate for sublethal damage (SLD) remains constant during the entire radiation course. However, increasing evidence from animal studies suggest that this may not the case. Rather, it appears that the repair rate for radiation-induced SLD slows down with increasing time. Such a slowdown in repair would suggest that the exponential repair pattern would not necessarily accurately predict repair process. As a result, the purpose of this study was to investigate a new generalized linear-quadratic (LQ) model incorporating a repair pattern with reciprocal time. The new formulas were tested with published experimental data. Methods: The LQ model has been widely used in radiation therapy, and the parameter G in the surviving fraction represents the repair process of sublethal damage with T{sub r} as the repair half-time. When a reciprocal pattern of repair process was adopted, a closed form of G was derived analytically for arbitrary radiation schemes. The published animal data adopted to test the reciprocal formulas. Results: A generalized LQ model to describe the repair process in a reciprocal pattern was obtained. Subsequently, formulas for special cases were derived from this general form. The reciprocal model showed a better fit to the animal data than the exponential model, particularly for the ED50 data (reduced {chi}{sup 2}{sub min} of 2.0 vs 4.3, p = 0.11 vs 0.006), with the following gLQ parameters: {alpha}/{beta} = 2.6-4.8 Gy, T{sub r} = 3.2-3.9 h for rat feet skin, and {alpha}/{beta} = 0.9 Gy, T{sub r} = 1.1 h for rat spinal cord. Conclusions: These results of repair process following a reciprocal time suggest that the generalized LQ model incorporating the reciprocal time of sublethal damage repair shows a better fit than the exponential repair model. These formulas can be used to analyze the experimental and clinical data, where a slowing-down repair process appears during the course of radiation therapy.

Huang, Zhibin; Mayr, Nina A.; Lo, Simon S.; Wang, Jian Z.; Jia Guang; Yuh, William T. C.; Johnke, Roberta [Department of Radiation Oncology, East Carolina University, Greenville, North Carolina 27834 (United States); Department of Radiation Oncology, Ohio State University, Columbus, Ohio 43210 (United States); Department of Radiation Oncology, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, Ohio 44106 (United States); Department of Radiation Oncology, Ohio State University, Columbus, Ohio 43210 (United States); Department of Radiology, Ohio State University, Columbus, Ohio 43210 (United States); Department of Radiation Oncology, East Carolina University, Greenville, North Carolina, 27834 (United States)

2012-01-15T23:59:59.000Z

211

TYPE Ia SUPERNOVAE: CALCULATIONS OF TURBULENT FLAMES USING THE LINEAR EDDY MODEL  

SciTech Connect

The nature of carbon burning flames in Type Ia supernovae is explored as they interact with Kolmogorov turbulence. One-dimensional calculations using the Linear Eddy Model of Kerstein elucidate three regimes of turbulent burning. In the simplest case, large-scale turbulence folds and deforms thin laminar flamelets to produce a flame brush with a total burning rate given approximately by the speed of turbulent fluctuations on the integral scale, U{sub L} , This is the regime where the supernova explosion begins and where most of its pre-detonation burning occurs. As the density declines, turbulence starts to tear the individual flamelets, making broader structures that move faster. For a brief time, these turbulent flamelets are still narrow compared to their spacing and the concept of a flame brush moving with an overall speed of U{sub L} remains valid. However, the typical width of the individual flamelets, which is given by the condition that their turnover time equals their burning time, continues to increase as the density declines. Eventually, mixed regions almost as large as the integral scale itself are transiently formed. At that point, a transition to detonation can occur. The conditions for such a transition are explored numerically and it is estimated that the transition will occur for densities near 1 x 10{sup 7} g cm{sup -3}, provided the turbulent speed on the integral scale exceeds about 20% sonic. An example calculation shows the details of a detonation actually developing.

Woosley, S. E. [Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064 (United States); Kerstein, A. R.; Sankaran, V. [Combustion Research Facility, Sandia National Laboratory, Livermore, CA 94551 (United States); Aspden, A. J. [Center for Computational Science and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Roepke, F. K., E-mail: woosley@ucolick.or, E-mail: arkerst@sandia.go, E-mail: AJAspden@lbl.go, E-mail: fritz@mpa-Garching.mpg.d [Max Planck Institut fuer Astrophysik, Garching (Germany)

2009-10-10T23:59:59.000Z

212

Poisson Regression Analysis of Illness and Injury Surveillance Data  

Science Conference Proceedings (OSTI)

The Department of Energy (DOE) uses illness and injury surveillance to monitor morbidity and assess the overall health of the work force. Data collected from each participating site include health events and a roster file with demographic information. The source data files are maintained in a relational data base, and are used to obtain stratified tables of health event counts and person time at risk that serve as the starting point for Poisson regression analysis. The explanatory variables that define these tables are age, gender, occupational group, and time. Typical response variables of interest are the number of absences due to illness or injury, i.e., the response variable is a count. Poisson regression methods are used to describe the effect of the explanatory variables on the health event rates using a log-linear main effects model. Results of fitting the main effects model are summarized in a tabular and graphical form and interpretation of model parameters is provided. An analysis of deviance table is used to evaluate the importance of each of the explanatory variables on the event rate of interest and to determine if interaction terms should be considered in the analysis. Although Poisson regression methods are widely used in the analysis of count data, there are situations in which over-dispersion occurs. This could be due to lack-of-fit of the regression model, extra-Poisson variation, or both. A score test statistic and regression diagnostics are used to identify over-dispersion. A quasi-likelihood method of moments procedure is used to evaluate and adjust for extra-Poisson variation when necessary. Two examples are presented using respiratory disease absence rates at two DOE sites to illustrate the methods and interpretation of the results. In the first example the Poisson main effects model is adequate. In the second example the score test indicates considerable over-dispersion and a more detailed analysis attributes the over-dispersion to extra-Poisson variation. The R open source software environment for statistical computing and graphics is used for analysis. Additional details about R and the data that were used in this report are provided in an Appendix. Information on how to obtain R and utility functions that can be used to duplicate results in this report are provided.

Frome E.L., Watkins J.P., Ellis E.D.

2012-12-12T23:59:59.000Z

213

Model-Inspired Predictors for Model Output Statistics (MOS)  

Science Conference Proceedings (OSTI)

This article addresses the problem of the choice of the predictors for the multiple linear regression in model output statistics. Rather than devising a selection procedure directly aimed at the minimization of the final scores, it is examined ...

Piet Termonia; Alex Deckmyn

2007-10-01T23:59:59.000Z

214

Linear versus Nonlinear Filtering with Scale-Selective Corrections for Balanced Dynamics in a Simple Atmospheric Model  

Science Conference Proceedings (OSTI)

This paper investigates the role of the linear analysis step of the ensemble Kalman filters (EnKF) in disrupting the balanced dynamics in a simple atmospheric model and compares it to a fully nonlinear particle-based filter (PF). The filters have ...

Aneesh C. Subramanian; Ibrahim Hoteit; Bruce Cornuelle; Arthur J. Miller; Hajoon Song

2012-11-01T23:59:59.000Z

215

IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 19, NO. 4, NOVEMBER 2004 1903 Analysis and Implementation of Model-Based Linear  

E-Print Network (OSTI)

and dynamic symmetrical components in energy processing systems. The procedure is based on the Kalman filter and experimental re- sults on model-based linear estimation of dynamic phasors and dy- namic symmetrical components a Kalman filter is used to detect problems in energy supply to an uninterruptible power supply (UPS

Stankoviæ, Aleksandar

216

Designing a cost-effective CO2 storage infrastructure using a GIS based linear optimization energy model  

Science Conference Proceedings (OSTI)

Large-scale deployment of carbon capture and storage needs a dedicated infrastructure. Planning and designing of this infrastructure require incorporation of both temporal and spatial aspects. In this study, a toolbox has been developed that integrates ... Keywords: CCS, CHP, CO2 capture transport and storage, Energy systems model, Ft, GIS, IGCC, Linear optimization, MARKAL, NGCC, O&M&M, PC

Machteld van den Broek; Evelien Brederode; Andrea Ramírez; Leslie Kramers; Muriel van der Kuip; Ton Wildenborg; Wim Turkenburg; André Faaij

2010-12-01T23:59:59.000Z

217

A Linear Balance Model of Wind-Driven, Midlatitude Ocean Circulation  

Science Conference Proceedings (OSTI)

The Linear Balance Equations (LBE) are intermediate between the more familiar Quasi-geostrophic (QG) and Primitive Equations (PE) in both physical completeness and computational efficiency. We first present a consistent boundary-value problem for ...

James C. Mcwilliams; Nancy J. Norton; Peter R. Gent; Dale B. Haidvogel

1990-09-01T23:59:59.000Z

218

Accelerated Iterative Method for Solving Steady Problems of Linearized Atmospheric Models  

Science Conference Proceedings (OSTI)

A new approach, referred to as the accelerated iterative method (AIM), is developed for obtaining steady atmospheric responses with a zonally varying basic state. The linear dynamical operator is divided into two parts, one associated with the ...

Masahiro Watanabe; Fei-fei Jin; Lin Pan

2006-12-01T23:59:59.000Z

219

Surface Wind over Tropical Oceans: Diagnosis of the Momentum Balance, and Modeling the Linear Friction Coefficient  

Science Conference Proceedings (OSTI)

Previous diagnostic studies of surface wind momentum balances over tropical oceans showed that, under a linear friction assumption, the meridional friction coefficient is two to three times larger than the zonal friction coefficient, and that ...

John C. H. Chiang; Stephen E. Zebiak

2000-05-01T23:59:59.000Z

220

Analitic modeling of a solar power plant with parabolic linear collectors.  

E-Print Network (OSTI)

??Foi desenvolvido um modelo analÃtico de um sistema solar tÃrmico de geraÃÃo de eletricidade, com concentradores parabÃlicos de foco linear. O modelo permite simular, realizar… (more)

Milton Matos Rolim

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Regression Error Characteristic CurVes  

E-Print Network (OSTI)

Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generalize ROC curves to regression. REC curves plot the error tolerance on the xaxis versus the percentage of points predicted within the tolerance on the y-axis. The resulting curve estimates the cumulative distribution function of the error. The REC curve visually presents commonly-used statistics. The area-over-the-curve (AOC) is a biased estimate of the expected error. The R 2 value can be estimated using the ratio of the AOC for a given model to the AOC for the null model. Users can quickly assess the relative merits of many regression functions by examining the relative position of their REC curves. The shape of the curve reveals additional information that can be used to guide modeling. 1.

Jinbo Bi; Kristin P. Bennett

2003-01-01T23:59:59.000Z

222

Author age prediction from text using linear regression  

Science Conference Proceedings (OSTI)

While the study of the connection between discourse patterns and personal identification is decades old, the study of these patterns using language technologies is relatively recent. In that more recent tradition we frame author age prediction from text ...

Dong Nguyen; Noah A. Smith; Carolyn P. Rosé

2011-06-01T23:59:59.000Z

223

Predicting cognitive data from medical images using sparse linear regression  

Science Conference Proceedings (OSTI)

We present a new framework for predicting cognitive or other continuous-variable data from medical images. Current methods of probing the connection between medical images and other clinical data typically use voxel-based mass univariate approaches. ...

Benjamin M. Kandel, David A. Wolk, James C. Gee, Brian Avants

2013-06-01T23:59:59.000Z

224

Sample Size Calculation for Method Validation Using Linear Regression  

E-Print Network (OSTI)

, J. L. O. Miranda Departament of Statistics, Federal University of Minas Gerais, 31270-901 - Belo. Compared to a traditional method and us- ing Monte Carlo simulations, encouraging results attest

Cruz, Frederico

225

A Review of Two different Approaches for the Analysis of Growth Data Using Longitudinal Mixed Linear Models: Comparing Hierarchical Linear Regression (ML3), HLM) and Repeated Measures Designs with Structured Covariance Matrices (BMDP5V)  

E-Print Network (OSTI)

analyses involving very large data sets. ML3/E is especially compiled for personal computers with expanded RAM (

Rien van der Leeden; Karen Vrijburg; Jan de Leeuw

2011-01-01T23:59:59.000Z

226

Fitting Dynamic Models to the Geosat Sea Level Observations in the Tropical Pacific Ocean. Part II: A Linear, Wind-driven Model  

Science Conference Proceedings (OSTI)

The Geosat altimeter sea level observations in the tropical Pacific Ocean are used to evaluate the Performance of a linear wind-driven equatorial wave model. The question posed is the extent to which such a model can describe the observed sea ...

Lee-Lueng Fu; Ichiro Fukumori; Robert N. Miller

1993-10-01T23:59:59.000Z

227

Learning in a Misspecified Multivariate Self-referential Linear Stochastic Model  

E-Print Network (OSTI)

)) #21; or = #20; 11 12 12 22 #21; All the components of this symmetric matrix can be expressed using components of the matrix var (Yt). Each partitioned matrix is a block diagonal matrix consisting of 20 components of var (Yt). Each matrix takes... represent the matrix N where all of the rows of the variables not considered in the regression of variable i are removed from N . This covariance matrix can also be represented by a symmetric partitioned matrix consisting of components of the matrix var (Yt...

Guse, Eran A

2006-03-14T23:59:59.000Z

228

Phenomenology of the minimal $B-L$ Model: the Higgs sector at the Large Hadron Collider and future Linear Colliders  

E-Print Network (OSTI)

This Thesis is devoted to the study of the phenomenology of the Higgs sector of the minimal $B-L$ extension of the Standard Model at present and future colliders. Firstly, the motivations that call for the minimal $B-L$ extension are summarised. In addition, the model is analysed in its salient parts. Moreover, a detailed review of the phenomenological allowed Higgs sector parameter space is given. Finally, a complete survey of the distinctive Higgs boson signatures of the model at both the Large Hadron Collider and the future linear colliders is presented.

Giovanni Marco Pruna

2011-06-23T23:59:59.000Z

229

Nonparametric comparison of regression functions  

Science Conference Proceedings (OSTI)

In this work, we provide a new methodology for comparing regression functions m"1 and m"2 from two samples. Since apart from smoothness no other (parametric) assumptions are required, our approach is based on a comparison of nonparametric estimators ... Keywords: 60G10, 62G08, Maximin test, Nonparametric regression, Test of equality

Ramidha Srihera; Winfried Stute

2010-10-01T23:59:59.000Z

230

Examination of Numerical Results from Tangent Linear and Adjoint of Discontinuous Nonlinear Models  

Science Conference Proceedings (OSTI)

The forward model solution and its functional (e.g., the cost function in 4DVAR) are discontinuous with respect to the model's control variables if the model contains discontinuous physical processes that occur during the assimilation window. In ...

S. Zhang; X. Zou; Jon E. Ahlquist

2001-11-01T23:59:59.000Z

231

Theoretical and practical aspects of linear and nonlinear model order reduction techniques  

E-Print Network (OSTI)

Model order reduction methods have proved to be an important technique for accelerating time-domain simulation in a variety of computer-aided design tools. In this study we present several new techniques for model reduction ...

Vasilyev, Dmitry Missiuro

2008-01-01T23:59:59.000Z

232

The Role of Wave Breaking, Linear Instability, and PV Transports in Model Block Onset  

Science Conference Proceedings (OSTI)

To understand mechanisms responsible for the onset of atmospheric blocks, the authors study model blocks that form in a two-layer isentropic primitive equation model. The latter includes diabatic heating, parameterized as a Newtonian relaxation ...

Manuel S. F. V. de Pondeca; Albert Barcilon; Xiaolei Zou

1998-09-01T23:59:59.000Z

233

Is the gasoline tax regressive?  

E-Print Network (OSTI)

Claims of the regressivity of gasoline taxes typically rely on annual surveys of consumer income and expenditures which show that gasoline expenditures are a larger fraction of income for very low income households than ...

Poterba, James M.

1990-01-01T23:59:59.000Z

234

Development of linear capacitance-resistance models for characterizing waterflooded reservoirs.  

E-Print Network (OSTI)

??The capacitance-resistance model (CRM) has been continuously improved and tested on both synthetic and real fields. For a large waterflood, with hundreds of injectors and… (more)

Kim, Jong Suk

2012-01-01T23:59:59.000Z

235

Linear Solar Models: a simple tool to investigate the properties of solar interior  

E-Print Network (OSTI)

We describe a simple method to study the dependence of the solar properties on a generic (small) modification the physical inputs adopted in standard solar models calculations.

Villante, F L

2010-01-01T23:59:59.000Z

236

Approximate forward-backward algorithm for a switching linear Gaussian model  

Science Conference Proceedings (OSTI)

A hidden Markov model with two hidden layers is considered. The bottom layer is a Markov chain and given this the variables in the second hidden layer are assumed conditionally independent and Gaussian distributed. The observation process is Gaussian ... Keywords: Approximation, Forward-backward algorithm, Hidden Markov model, Metropolis-Hastings algorithm, Seismic inversion

Hugo Hammer; Håkon Tjelmeland

2011-01-01T23:59:59.000Z

237

A Simplified Quasi-Linear Model for Wave Generation and Air–Sea Momentum Flux  

Science Conference Proceedings (OSTI)

A simplified model is described for wave generation and air–sea momentum flux. The model is based upon the quasilinear theory employed by Fabrikant and Janssen, in which the mean flow is approximated to second order in the wave amplitude and ...

Alastair D. Jenkins

1993-09-01T23:59:59.000Z

238

Normal Mode Initialization for a Multilevel Grid-Point Model. Part I: Linear Aspects  

Science Conference Proceedings (OSTI)

In Part I of this paper we review initialization methods for numerical weather prediction models, leading up to the development of schemes based on the normal modes of the forecast model. We present the derivation of the normal modes of ECMWF's ...

Clive Temperton; David L. Williamson

1981-04-01T23:59:59.000Z

239

A Joint-Diffused Inpainting Model for Underexposure Image Preserving the Linear Geometric Structure  

Science Conference Proceedings (OSTI)

To restore the underexposure image, an illumination compensation inpainting model which employs the joint-diffused partial differential equations (PDEs) is proposed. Firstly, the novel model compensates the illumination effect in multi-scaled underexposure ... Keywords: illumination compensation, image inpainting, partial differential equation (PDE), quotient image (QI)

Jiying Wu; Qiuqi Ruan; Gaoyun An

2009-01-01T23:59:59.000Z

240

A parameter estimation approach for non-linear systems biology models using spline approximation  

Science Conference Proceedings (OSTI)

Mathematical models for revealing the dynamics and interactions properties of biological systems play an important role in computational systems biology. The inference of model parameter values from time-course data can be considered as a "reverse engineering" ... Keywords: nonlinear programming, parameter estimation, spline

Choujun Zhan; Lam Fat Yeung

2010-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

A "Nearly Ideal" Solution to Linear Time-Varying Rational Expectations Models  

Science Conference Proceedings (OSTI)

For a well-identified class of forward-looking models under rational expectations and time-varying parameters, it is shown that there exists always a solution having the property of being the closest, in mean square, to the state motion of the autoregressive ... Keywords: C5, C6, Kalman Filtering, Rational expectations models, Time-varying parameters

Francesco Carravetta; Marco M. Sorge

2010-04-01T23:59:59.000Z

242

Stochastic Control of Linear and Nonlinear Econometric Models: Some Computational Aspects  

Science Conference Proceedings (OSTI)

This paper considers the optimal control of small econometric models applying the OPTCON algorithm. OPTCON determines approximate numerical solutions to optimum control problems for nonlinear stochastic systems. These optimum control problems consist ... Keywords: Algorithms, Nonlinear models, Optimal control, Outliers, Policy applications, Stochastic control

D. Blueschke; V. Blueschke-Nikolaeva; R. Neck

2013-06-01T23:59:59.000Z

243

Regression benchmarking with simple middleware benchmarks  

E-Print Network (OSTI)

The paper introduces the concept of regression benchmarking as a variant of regression testing focused at detecting performance regressions. Applying the regression benchmarking in the area of middleware development, the paper explains how regression benchmarking differs from middleware benchmarking in general. On a real-world example of TAO, the paper shows why the existing benchmarks do not give results sufficient for regression benchmarking, and proposes techniques for detecting performance regressions using simple benchmarks. 1.

Lubomír Bulej; TomᚠKalibera; Petr T?ma

2004-01-01T23:59:59.000Z

244

A mixed-integer linear optimization model for local energy system planning based on simplex and branch-and-bound algorithms  

Science Conference Proceedings (OSTI)

A Mixed-integer linear optimization model is developed to support the decision making for the sustainable use of energy in the local area. It details exploitation of primary energy sources, electrical and thermal generation, enduse sectors and emissions. ... Keywords: branch-and-bound algorithm, local energy system, low-carbon society, mixed-integer linear optimization, simplex algorithm

Hongbo Ren; Weisheng Zhou; Weijun Gao; Qiong Wu

2010-09-01T23:59:59.000Z

245

TEA - a linear frequency domain finite element model for tidal embayment analysis  

E-Print Network (OSTI)

A frequency domain (harmonic) finite element model is developed for the numerical prediction of depth average circulation within small embayments. Such embayments are often characterized by irregular boundaries and bottom ...

Westerink, Joannes J.

1984-01-01T23:59:59.000Z

246

Reduced-order, trajectory piecewise-linear models for nonlinear computational fluid dynamics  

E-Print Network (OSTI)

Computational fluid dynamics (CFD) is now widely used throughout the fluid dynamics community and yields accurate models for problems of interest. However, due to its high computational cost, CFD is limited for some ...

Gratton, David, 1979-

2004-01-01T23:59:59.000Z

247

A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory  

E-Print Network (OSTI)

Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast Mingzhou (Joe) Song1 significantly expressed genes in response to bioethanol conversion inhibitor 5-hydroxymethylfurfural in detoxification for bioethanol conversion by yeast. 1 Introduction Computational modeling of gene regulatory

Song, Joe

248

Universal squash model for optical communications using linear optics and threshold detectors  

SciTech Connect

Transmission of photons through open-air or optical fibers is an important primitive in quantum-information processing. Theoretical descriptions of this process often consider single photons as information carriers and thus fail to accurately describe experimental implementations where any number of photons may enter a detector. It has been a great challenge to bridge this big gap between theory and experiments. One powerful method for achieving this goal is by conceptually squashing the received multiphoton states to single-photon states. However, until now, only a few protocols admit a squash model; furthermore, a recently proven no-go theorem appears to rule out the existence of a universal squash model. Here we show that a necessary condition presumed by all existing squash models is in fact too stringent. By relaxing this condition, we find that, rather surprisingly, a universal squash model actually exists for many protocols, including quantum key distribution, quantum state tomography, Bell's inequality testing, and entanglement verification.

Fung, Chi-Hang Fred; Chau, H. F. [Department of Physics and Center of Computational and Theoretical Physics, University of Hong Kong, Pokfulam Road (Hong Kong); Lo, Hoi-Kwong [Center for Quantum Information and Quantum Control, Department of Physics and Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, M5S 3G4 (Canada)

2011-08-15T23:59:59.000Z

249

Unsteady, Turbulent Convection into a Rotating, Linearly Stratified Fluid: Modeling Deep Ocean Convection  

Science Conference Proceedings (OSTI)

A laboratory experiment has been constructed to Model the deep convective processes in a stratified ocean driven by the energetic cooling at the ocean surface. For convenience in the laboratory the authors have examined the analogous but inverted ...

M. J. Coates; G. N. Ivey; J. R. Taylor

1995-12-01T23:59:59.000Z

250

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling  

Science Conference Proceedings (OSTI)

Data collection for landslide susceptibility modeling is often an inhibitive activity. This is one reason why for quite some time landslides have been described and modelled on the basis of spatially distributed values of landslide-related attributes. ... Keywords: Artificial neural network, GIS, Klang Valley, Landslide, Malaysia, Susceptibility

Biswajeet Pradhan; Saro Lee

2010-06-01T23:59:59.000Z

251

Universal Squash Model For Optical Communications Using Linear Optics And Threshold Detectors  

E-Print Network (OSTI)

The transmission of photons through open-air or an optical fiber is an important primitive in quantum information processing. Theoretical description of such a transmission process often considers only a single photon as the information carrier and thus fails to accurately describe experimental optical implementations where any number of photons may enter a detector. It is important to bridge this big gap between experimental implementations and the theoretical description. One powerful method that emerges from recent efforts to achieve this goal is to consider a squash model that conceptually converts multi-photon states to single-photon states, thereby justifying the equivalence between theory and experiments. However, up to now, only a limited number of protocols admit a squash model; furthermore, a no-go theorem has been proven which appears to rule out the existence of a universal squash model. Here, we observe that an apparently necessary condition demanded by all existing squash models to preserve measurement statistics is too stringent a requirement for many protocols. By chopping this requirement, we show that rather surprisingly, a universal squash model actually exists for a wide range of protocols including quantum key distribution protocols, quantum state tomography, the testing of Bell's inequalities, and entanglement verification, despite the standard no-go theorem.

Chi-Hang Fred Fung; H. F. Chau; Hoi-Kwong Lo

2010-11-12T23:59:59.000Z

252

Linear Equatorial Wave Mode Initialization in a Model of the Tropical Pacific Ocean: An Initialization Scheme for Tropical Ocean Models  

Science Conference Proceedings (OSTI)

Data assimilation in models of the tropical oceans can generate spurious equatorial wave modes which are potentially harmful to the model background fields. The amplitudes of these spurious wave modes can often be large and, in general, depend ...

Andrew M. Moore

1990-03-01T23:59:59.000Z

253

Dynamic Characteristics of Regional Flows around the Pyrénées in View of the PYREX Experiment. Part II: Solution of a Linear Model Compared to Field Measurements  

Science Conference Proceedings (OSTI)

This paper considers a linear hydrostatic model of a stable, uniform, constant rotational airflow over three- dimensional, elliptic, cross-sectional families of mountains in a z system. The surface pressure and the winds that are induced around ...

E. Koffi; B. Bénech; J. Stein; B. Terliuc

1998-01-01T23:59:59.000Z

254

A linear discrete dynamic system model for temporal gene interaction and regulatory network influence in response to bioethanol conversion inhibitor HMF for ethanologenic yeast  

Science Conference Proceedings (OSTI)

A linear discrete dynamic system model is constructed to represent the temporal interactions among significantly expressed genes in response to bioethanol conversion inhibitor 5-hydroxymethylfurfural for ethanologenic yeast Saccharomyces cerevisiae. ...

Mingzhou Joe Song; Z. Lewis Liu

2006-12-01T23:59:59.000Z

255

Development of a linear predictive model for carbon dioxide sequestration in deep saline carbonate aquifers  

Science Conference Proceedings (OSTI)

CO"2 injection into deep saline aquifers is a preferred method for mitigating CO"2 emission. Although deep saline aquifers are found in many sedimentary basins and provide very large storage capacities, several numerical simulations are needed before ... Keywords: CO2 sequestration, Deep saline carbonate aquifer, Latin hypercube space filling design, Predictive model

Sultan Anbar; Serhat Akin

2011-11-01T23:59:59.000Z

256

Augmented l1 and Nuclear-Norm Models with a Globally Linearly ...  

E-Print Network (OSTI)

and X? and XF are the nuclear and Frobenius norms of X, respectively. We show that they let .... the total energy x0. 2 is roughly ..... Some expert readers may know that in theory, given matrix A, whether or not model (1) can exactly recover x0 ...

257

On enhanced non-linear free surface flow simulations with a hybrid LBM-VOF model  

Science Conference Proceedings (OSTI)

In this paper, we present extensions, extensive validations and applications of our previously published hybrid volume-of-fluid-based (VOF) model for the simulation of free-surface flow problems. For the solution of the flow field, the lattice Boltzmann ... Keywords: Free surface, Lattice Boltzmann method, PLIC, Plunging breaker, Potential flow, Volume of fluid

Christian F. JaníEn; Stephan T. Grilli; Manfred Krafczyk

2013-01-01T23:59:59.000Z

258

Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming  

Science Conference Proceedings (OSTI)

This work presents a new algorithm for solving the explicit/multi-parametric model predictive control (or mp-MPC) problem for linear, time-invariant discrete-time systems, based on dynamic programming and multi-parametric programming techniques. The ... Keywords: Dynamic programming, Explicit Model Predictive Control, Model Predictive Control, Multi-parametric control, Multi-parametric programming

K. I. Kouramas; N. P. Faísca; C. Panos; E. N. Pistikopoulos

2011-08-01T23:59:59.000Z

259

The systems edge of the Parameterized Linear Array with a Reconfigurable Pipelined Bus System (LARPBS(p)) optical bus parallel computing model  

Science Conference Proceedings (OSTI)

This paper is about exploring the various systems related aspects pertinent in the recent Parameterized Linear Array with a Reconfigurable Pipelined Bus System (LARPBS(p)) model. The two principal features of the LARPBS(p) model is, firstly, its bridging ... Keywords: Optical bus, Parallel computing model

Brian J. D'Auriol

2009-05-01T23:59:59.000Z

260

Exact analysis to any order of the linear coupling problem in the thin lens model  

SciTech Connect

In this report we attempt the exact solution of the motion of a charged particle in a circular accelerator under the effects of skew quadrupole errors. We adopt the model of error distributions, lumped in locations with zero extensions. This thin-lens approximation provides an analytical insight to the problem to any order. The total solution is expressed in terms of driving terms which are actually correlation factors to several order. An application follows on the calculation and correction of tune-splitting and on the estimate of the role the higher-order terms play in the correction method.

Ruggiero, A.G.

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Developing physical surrogates for benthic biodiversity using co-located samples and regression tree models: a conceptual synthesis for a sandy temperate embayment  

Science Conference Proceedings (OSTI)

Marine physical and geochemical data can be valuable surrogates for predicting the distributions and assemblages of marine species. This study investigated the bio-environment surrogacy relationships in Jervis Bay, a sandy marine embayment in south-eastern ... Keywords: Jervis Bay, benthic biodiversity, conceptual model, surrogates

Zhi Huang; Matthew McArthur; Lynda Radke; Tara Anderson; Scott Nichol; Justy Siwabessy; Brendan Brooke

2012-11-01T23:59:59.000Z

262

Implementing Distributed Systems Using Linear Naming  

E-Print Network (OSTI)

Linear graph reduction is a simple computational model in which the cost of naming things is explicitly represented. The key idea is the notion of "linearity". A name is linear if it is only used once, so with linear ...

Bawden, Alan

1993-03-01T23:59:59.000Z

263

The Response of a Linear Model of the Tropical Pacific to Surface Winds from the NCAR General Circulation Model  

Science Conference Proceedings (OSTI)

An experiment in which surface wind stress data from the National Center for Atmospheric Research global circulation model (GCM) was used to drive a simple model of the tropical Pacific is described. First, a 15-year integration of the GCM was ...

Nicholas E. Graham; Tim P. Barnett; Vijay G. Panchang; Ole M. Smedstad; James J. O'Brien; Robert M. Chervin

1989-09-01T23:59:59.000Z

264

Regression analysis of oncology drug licensing deal values  

E-Print Network (OSTI)

This work is an attempt to explain wide variations in drug licensing deal value by using regression modeling to describe and predict the relationship between oncology drug deal characteristics and their licensing deal ...

Hawkins, Paul Allen

2006-01-01T23:59:59.000Z

265

The component slope linear model for calculating intensive partial molar properties /application to waste glasses and aluminate solutions  

SciTech Connect

Partial molar properties are the changes occurring when the fraction of one component is varied while the fractions of all other component mole fractions change proportionally. They have many practical and theoretical applications in chemical thermodynamics. Partial molar properties of chemical mixtures are difficult to measure because the component mole fractions must sum to one, so a change in fraction of one component must be offset with a change in one or more other components. Given that more than one component fraction is changing at a time, it is difficult to assign a change in measured response to a change in a single component. In this study, the Component Slope Linear Model (CSLM), a model previously published in the statistics literature, is shown to have coefficients that correspond to the intensive partial molar properties. If a measured property is plotted against the mole fraction of a component while keeping the proportions of all other components constant, the slope at any given point on a graph of this curve is the partial molar property for that constituent. Actually plotting this graph has been used to determine partial molar properties for many years. The CSLM directly includes this slope in a model that predicts properties as a function of the component mole fractions. This model is demonstrated by applying it to the constant pressure heat capacity data from the NaOH-NaAl(OH){sub 4}-H{sub 2}O system, a system that simplifies Hanford nuclear waste. The partial molar properties of H{sub 2}O, NaOH, and NaAl(OH){sub 4} are determined. The equivalence of the CSLM and the graphical method is verified by comparing results determined by the two methods. The CSLM model has been previously used to predict the liquidus temperature of spinel crystals precipitated from Hanford waste glass. Those model coefficients are re-interpreted here as the partial molar spinel liquidus temperature of the glass components.

Reynolds, Jacob G. [Washington River Protection Solutions, LLC, Richland, WA (United States)

2013-01-11T23:59:59.000Z

266

Geometric phase effects in low-energy dynamics near conical intersections: A study of the multidimensional linear vibronic coupling model  

E-Print Network (OSTI)

In molecular systems containing conical intersections (CIs), a nontrivial geometric phase (GP) appears in the nuclear and electronic wave-functions in the adiabatic representation. We study GP effects in nuclear dynamics of an N-dimensional linear vibronic coupling (LVC) model. The main impact of GP on low-energy nuclear dynamics is reduction of population transfer between the local minima of the LVC lower energy surface. For the LVC model, we proposed an isometric coordinate transformation that confines non-adiabatic effects within a two-dimensional subsystem interacting with an N-2 dimensional environment. Since environmental modes do not couple electronic states, all GP effects originate from nuclear dynamics within the subsystem. We explored when the GP affects nuclear dynamics of the isolated subsystem, and how the subsystem-environment interaction can interfere with GP effects. Comparing quantum dynamics with and without GP allowed us to devise simple rules to determine significance of the GP for nuclear dynamics in this model.

Loic Joubert-Doriol; Ilya G. Ryabinkin; Artur F. Izmaylov

2013-10-10T23:59:59.000Z

267

Efficient approximate leave-one-out cross-validation for kernel logistic regression  

Science Conference Proceedings (OSTI)

Kernel logistic regression (KLR) is the kernel learning method best suited to binary pattern recognition problems where estimates of a-posteriori probability of class membership are required. Such problems occur frequently ... Keywords: Kernel logistic regression, Model selection

Gavin C. Cawley; Nicola L. Talbot

2008-06-01T23:59:59.000Z

268

White noise assumptions revisited: regression metamodels and experimental designs in practice  

Science Conference Proceedings (OSTI)

Classic linear regression metamodels and their concomitant experimental designs assume a univariate (not multivariate) simulation response and white noise. By definition, white noise is normally (Gaussian), independently (implying no common random numbers), ...

Jack P. C. Kleijnen

2006-12-01T23:59:59.000Z

269

One-Dimensional CCA and SVD, and Their Relationship to Regression Maps  

Science Conference Proceedings (OSTI)

The canonical correlation analysis (CCA) and singular value decomposition (SVD) approaches for estimating a time series from a time-dependent vector and vice versa are investigated, and their relationship to multiple linear regression (MLR) and ...

Martin Widmann

2005-07-01T23:59:59.000Z

270

A Quasi-linear Eddy-Viscosity Model for the Flux of Energy and Momentum to Wind Waves Using Conservation-Law Equations in a Curvilinear Coordinate System  

Science Conference Proceedings (OSTI)

The airflow above ocean waves is calculated using a quasi-linear model—one in which the effect of the waves on the mean flow is taken into account. The model uses curvilinear coordinates, in which one coordinate surface coincides with the ...

Alastair D. Jenkins

1992-08-01T23:59:59.000Z

271

Predicting corporate financial distress based on integration of support vector machine and logistic regression  

Science Conference Proceedings (OSTI)

The support vector machine (SVM) has been applied to the problem of bankruptcy prediction, and proved to be superior to competing methods such as the neural network, the linear multiple discriminant approaches and logistic regression. However, the conventional ... Keywords: Corporate financial distress, Empirical risk, Logistic regression, Prediction, Support vector machine

Zhongsheng Hua; Yu Wang; Xiaoyan Xu; Bin Zhang; Liang Liang

2007-08-01T23:59:59.000Z

272

LINEAR ACCELERATOR  

DOE Patents (OSTI)

Improvements in linear particle accelerators are described. A drift tube system for a linear ion accelerator reduces gap capacity between adjacent drift tube ends. This is accomplished by reducing the ratio of the diameter of the drift tube to the diameter of the resonant cavity. Concentration of magnetic field intensity at the longitudinal midpoint of the external sunface of each drift tube is reduced by increasing the external drift tube diameter at the longitudinal center region.

Christofilos, N.C.; Polk, I.J.

1959-02-17T23:59:59.000Z

273

Polynomial regression with derivative information in nuclear reactor uncertainty quantification*  

E-Print Network (OSTI)

1 Polynomial regression with derivative information in nuclear reactor uncertainty quantification in the outputs. The usual difficulties in modeling the work of the nuclear reactor models include the large size, applying the existing AD tools to nuclear reactor models still takes considerable development effort

Anitescu, Mihai

274

The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions  

SciTech Connect

This paper evaluates the performance of Poisson and negative binomial (NB) regression models in establishing the relationship between truck accidents and geometric design of road sections. Three types of models are considered. Poisson regression, zero-inflated Poisson (ZIP) regression, and NB regression. Maximum likelihood (ML) method is used to estimate the unknown parameters of these models. Two other feasible estimators for estimating the dispersion parameter in the NB regression model are also examined: a moment estimator and a regression-based estimator. These models and estimators are evaluated based on their (1) estimated regression parameters, (2) overall goodness-of-fit, (3) estimated relative frequency of truck accident involvements across road sections, (4) sensitivity to the inclusion of short mad sections, and (5) estimated total number of truck accident involvements. Data from the highway Safety Information System (HSIS) are employed to examine the performance of these models in developing such relationships. The evaluation results suggest that the NB regression model estimated using the moment and regression-based methods should be used with caution. Also, under the ML method, the estimated regression parameters from all three models are quite consistent and no particular model outperforms the other two models in terms of the estimated relative frequencies of truck accident involvements across road sections. It is recommended that the Poisson regression model be used as an initial model for developing the relationship. If the overdispersion of accident data is found to be moderate or high, both the NB and ZIP regression model could be explored. Overall, the ZIP regression model appears to be a serious candidate model when data exhibit excess zeros due, e.g., to underreporting.

Miaou, Shaw-Pin

1993-07-01T23:59:59.000Z

275

Development of polynomial regression reference model for ...  

Science Conference Proceedings (OSTI)

... Minsung Kim(1), Seok Ho Yoon(2), W. Vance Payne(3)* and Piotr A. Domanski(3) (1)Geothermal Energy Research Center, Korea Institute of ...

2008-07-22T23:59:59.000Z

276

Design of active suspension control based upon use of tubular linear motor and quarter-car model  

E-Print Network (OSTI)

The design, fabrication, and testing of a quarter-car facility coupled with various control algorithms are presented in this thesis. An experimental linear tubular motor, capable of producing a 52-N force, provides control actuation to the model. Controllers consisting of two designs were implemented: a classical controller employing lead and lag networks and a state-space feedback design. Each design was extensively simulated to screen for receptiveness to actuation force limitations and robustness regarding the inexact tire modeling. The goal of each controller was to minimize the acceleration of the sprung mass in the presence of simulated road disturbances, modeled by both sinusoidal and step input excitation wheels. Different reference velocity inputs were applied to the control scheme. Responses to a zero reference were juxtaposed to those that resulted from tracking a reference built off a model that incorporated inertial-frame damping attached to the sprung mass. The outcome of this comparison was that low-frequency disturbances were attenuated better when tracking a zero reference, but the reference relaxation introduced by the inertialframe damping model allowed for better-attenuated high frequency signals. Employing an inertial-frame damping value of 250 N-s/m, the rejected frequency component of the system response synchronous with the disturbance input excitation of 40 rad/s bettered by 33% and 28% when feeding control force from the classical controller and state-space controller, respectively. The experimental analysis conducted on the classical and state-space controllers produced sinusoidal disturbance rejection of at worst 50% within their respective bandwidths. At 25 rad/s, the classical controller was able to remove 80% of the base component synchronous with the disturbance excitation frequency, while the state-space controller filtered out nearly 60%. Analysis on the system's ability to reject step disturbances was greatly confounded with the destructive lateral loading transferred during the excitation process. As a result, subjection to excitation could only occur up to 25 rad/s. At the 20 rad/s response synchronous to the disturbance excitation, the classical and state-space controllers removed 85% and 70% of the disturbance, respectively. Sharp spikes in timebased amplitude were present due to the binding that ensued during testing.

Allen, Justin Aaron

2008-08-01T23:59:59.000Z

277

IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 27, NO. 2, JUNE 2012 489 Modeling of a Complementary and Modular Linear  

E-Print Network (OSTI)

and Modular Linear Flux-Switching Permanent Magnet Motor for Urban Rail Transit Applications Ruiwu Cao-switching permanent magnet (MLFSPM) motor is investi- gated, in which both the magnets and armature windings incorporates the high power density of a linear permanent magnet synchronous motor and the simple structure

Mi, Chunting "Chris"

278

Benchmark studies of the Bending Corrected Rotating Linear Model (BCRLM) reactive scattering code: Implications for accurate quantum calculations  

SciTech Connect

The Bending Corrected Rotating Linear Model (BCRLM), developed by Hayes and Walker, is a simple approximation to the true multidimensional scattering problem for reaction of the type: A + BC {yields} AB + C. While the BCRLM method is simpler than methods designed to obtain accurate three dimensional quantum scattering results, this turns out to be a major advantage in terms of our benchmarking studies. The computer code used to obtain BCRLM scattering results is written for the most part in standard FORTRAN and has been reported to several scalar, vector, and parallel architecture computers including the IBM 3090-600J, the Cray XMP and YMP, the Ardent Titan, IBM RISC System/6000, Convex C-1 and the MIPS 2000. Benchmark results will be reported for each of these machines with an emphasis on comparing the scalar, vector, and parallel performance for the standard code with minimum modifications. Detailed analysis of the mapping of the BCRLM approach onto both shared and distributed memory parallel architecture machines indicates the importance of introducing several key changes in the basic strategy and algorithums used to calculate scattering results. This analysis of the BCRLM approach provides some insights into optimal strategies for mapping three dimensional quantum scattering methods, such as the Parker-Pack method, onto shared or distributed memory parallel computers.

Hayes, E.F.; Darakjian, Z. (Rice Univ., Houston, TX (USA). Dept. of Chemistry); Walker, R.B. (Los Alamos National Lab., NM (USA))

1990-01-01T23:59:59.000Z

279

Ground Clutter Canceling with a Regression Filter  

Science Conference Proceedings (OSTI)

This paper explores ground clutter filtering with a class of cancelers that use regression. Regression filters perform this task in a simple manner, resulting in similar or better performance than the fifth-order elliptic filter implemented in ...

Sebastián M. Torres; Dusan S. Zrnic

1999-10-01T23:59:59.000Z

280

Projecting Monthly Natural Gas Sales for Space Heating Using a Monthly Updated Model and Degree-days from Monthly Outlooks  

Science Conference Proceedings (OSTI)

The problem of projecting monthly residential natural gas sales and evaluating interannual changes in demand is investigated using a linear regression model adjusted monthly. with lagged monthly heating degree-days as the independent variable. ...

Richard L. Lehman; Henry E. Warren

1994-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

An Objective Comparison of Model Output Statistics and “Perfect Prog” Systems in Producing Numerical Weather Element Forecasts  

Science Conference Proceedings (OSTI)

The “perfect prog” (PP) and model output statistics (MOS) approaches were used to develop multiple linear regression equations to forecast probabilities of more than a trace of precipitation over 6-h periods, probabilities of precipitation ...

N. Brunet; R. Verret; N. Yacowar

1988-12-01T23:59:59.000Z

282

Analyzing the Potential Impacts of Soil Moisture on the Observed and Model-Simulated Australian Surface Temperature Variations  

Science Conference Proceedings (OSTI)

Based on observational and modeling analyses, this study aims to assess the potential influence of land surface conditions (soil moisture, in particular) on the Australian surface temperature variations. At first, a simple linear regression ...

Huqiang Zhang

2004-11-01T23:59:59.000Z

283

Eddy–Zonal Flow Interactions Associated with the Southern Hemisphere Annular Mode: Results from NCEP–DOE Reanalysis and a Quasi-Linear Model  

Science Conference Proceedings (OSTI)

Using a recent 22-yr (1979–2000) record of the NCEP–Department of Energy (DOE) reanalysis 2 dataset (hereafter, NCEP2 reanalysis) and a two-level spherical quasi-geostrophic, quasi-linear model, the eddy–zonal- mean flow interactions associated ...

Harun A. Rashid; Ian Simmonds

2004-04-01T23:59:59.000Z

284

Modeling of decentralized linear observer and tracker for a class of unknown interconnected large-scale sampled-data nonlinear systems with closed-loop decoupling property  

Science Conference Proceedings (OSTI)

A novel low-order modeling of decentralized linear observer-based tracker is presented in this paper for a class of unknown interconnected large-scale sampled-data nonlinear systems with closed-loop decoupling property. The appropriate (low-)order decentralized ... Keywords: Digital redesign, Large-scale system, Observer, Observer/Kalman filter identification, Tracker

Jason Sheng-Hong Tsai; Nien-Tsu Hu; Po-Chuan Yang; Shu-Mei Guo; Leang-San Shieh

2010-08-01T23:59:59.000Z

285

Application of linear mixed-effect models for the analysis of exam scores: Online video associated with higher scores for undergraduate students with lower grades  

Science Conference Proceedings (OSTI)

In higher education, many of the new teaching interventions are introduced in the format of audio-visual files distributed through the Internet. A pedagogical tool consisting of questions listed as learning objectives and answers presented using online ... Keywords: BSc, CGPA, Exam scores, LME, Linear mixed-effect models, Molecular biology, NMP, NTP, Online videos, PPi, Undergraduate

JoséE Dupuis; JoséE Coutu; Odette Laneuville

2013-08-01T23:59:59.000Z

286

Compiled code simulation of analog and mixed-signal systems using piecewise linear modeling of nonlinear parameters: A case study for ?? modulator simulation  

Science Conference Proceedings (OSTI)

This paper presents a methodology for fast time-domain simulation of analog systems with nonlinear parameters. Specifically, the paper focuses on @D@S analog-to-digital converters (ADC). The method creates compiled-code simulators based on symbolic analysis. ... Keywords: Analog and mixed-signal systems, Neural networks, Nonlinear modeling, Piecewise linear, Simulation

Hui Zhang; Simona Doboli; Hua Tang; Alex Doboli

2007-04-01T23:59:59.000Z

287

Construction of reduced order models for the non-linear Navier-Stokes equations using the proper orthogonal fecomposition (POD)/Galerkin method.  

SciTech Connect

The construction of stable reduced order models using Galerkin projection for the Euler or Navier-Stokes equations requires a suitable choice for the inner product. The standard L2 inner product is expected to produce unstable ROMs. For the non-linear Navier-Stokes equations this means the use of an energy inner product. In this report, Galerkin projection for the non-linear Navier-Stokes equations using the L2 inner product is implemented as a first step toward constructing stable ROMs for this set of physics.

Fike, Jeffrey A.

2013-08-01T23:59:59.000Z

288

PLATO: a new piecewise linear simulation tool  

Science Conference Proceedings (OSTI)

This paper describes the basic concepts of a new piecewise linear circuit simulation program called PLATO. Piecewise linear modeling is a very generic and powerful approach to the modeling of electronic components. It allows for the use of macro modeling ...

M. T. van Stiphout; J. T. J. van Eijndhoven; H. W. Buurman

1990-03-01T23:59:59.000Z

289

An approach to iterative learning control for spatio-temporal dynamics using nD discrete linear systems models  

Science Conference Proceedings (OSTI)

Iterative Learning Control (ILC) is now well established in terms of both the underlying theory and experimental application. This approach is specifically targeted at cases where the same operation is repeated over a finite duration with resetting between ... Keywords: Explicit discretization, Iterative learning control, PDEs, nD linear systems

B?a?ej Cichy; Krzysztof Ga?kowski; Eric Rogers; Anton Kummert

2011-03-01T23:59:59.000Z

290

A novel method for testing normality in a mixed model of a nested classification  

Science Conference Proceedings (OSTI)

Normality is one of the most common assumptions made in the development of statistical models such as the fixed effect model and the random effect model. White and MacDonald [1980. Some large-sample tests for normality in the linear regression model. ... Keywords: Normality test, Random effect model, Shapiro-Wilk test, Simulations, Skewness test, Transformation

Yi-Ting Hwang; Peir Feng Wei

2006-11-01T23:59:59.000Z

291

Minimising the delta test for variable selection in regression problems  

Science Conference Proceedings (OSTI)

The problem of selecting an adequate set of variables from a given data set of a sampled function becomes crucial by the time of designing the model that will approximate it. Several approaches have been presented in the literature although recent studies ... Keywords: FBS, GAs, delta test, forward-backward search, genetic algorithms, hybrid algorithms, parallel architectures, regression problems, tabu search, variable selection

Alberto Guillen; Dusan Sovilj; Amaury Lendasse; Fernando Mateo; Ignacio Rojas

2008-03-01T23:59:59.000Z

292

Linear Quadratic  

E-Print Network (OSTI)

The proposal of Reshef et. al. (“MIC”) is an interesting new approach for discovering non-linear dependencies among pairs of measurements in exploratory data mining. However, it has a potentially serious drawback. The authors laud the fact that MIC has no preference for some alternatives over others, but as the authors know, there is no free lunch in Statistics: tests which strive to have high power against all alternatives can have low power in many important situations. To investigate this, we ran simulations to compare the power of MIC to that of standard Pearson correlation and distance correlation (dcor) Székely & Rizzo (2009). We simulated pairs of variables with different relationships (most of which were considered by the Reshef et. al.), but with varying levels of noise added. To determine proper cutoffs for testing the independence hypothesis, we simulated independent data with the appropriate marginals. As one can see from the Figure, MIC has lower power than dcor, in every case except the somewhat pathological

Noah Simon; Robert Tibshirani; Noah Simon; Robert Tibshirani

2011-01-01T23:59:59.000Z

293

Non-Linear Integral Equations for the SL(2,R)/U(1) black hole sigma model  

E-Print Network (OSTI)

It was previously established that the critical staggered XXZ spin chain provides a lattice regularization of the black hole CFT. We reconsider the continuum limit of this spin chain with the exact method of non-linear integral equations (NLIEs), paying particular attention to the effects of a singular integration kernel. With the help of the NLIEs, we rederive the continuous black hole spectrum, but also numerically match the density of states of the spin chain with that of the CFT, which is a new result. Finally, we briefly discuss the integrable structure of the black hole CFT and the identification of its massive integrable perturbation on the lattice.

Constantin Candu; Yacine Ikhlef

2013-06-11T23:59:59.000Z

294

Non-Linear Integral Equations for the SL(2,R)/U(1) black hole sigma model  

E-Print Network (OSTI)

It was previously established that the critical staggered XXZ spin chain provides a lattice regularization of the black hole CFT. We reconsider the continuum limit of this spin chain with the exact method of non-linear integral equations (NLIEs), paying particular attention to the effects of a singular integration kernel. With the help of the NLIEs, we rederive the continuous black hole spectrum, but also numerically match the density of states of the spin chain with that of the CFT, which is a new result. Finally, we briefly discuss the integrable structure of the black hole CFT and the identification of its massive integrable perturbation on the lattice.

Candu, Constantin

2013-01-01T23:59:59.000Z

295

A Two-Layer Model with Empirical Linear Corrections and Reduced Order for Studies of Internal Climate Variability  

Science Conference Proceedings (OSTI)

This work discusses the formulation and testing of a simplified model of atmospheric dynamics. The model, which has only 200- and 700-mb streamfunctions as its prognostic fields, is designed to have a climate that approximates that of a ...

Ulrich Achatz; Grant Branstator

1999-09-01T23:59:59.000Z

296

Analysis of the GISS GCM Response to a Subtropical Sea Surface Temperature Anomaly Using a Linear Model  

Science Conference Proceedings (OSTI)

The GISS general circulation model (GCM) is used to investigate the influence of a positive sea surface temperature (SST) anomaly in the subtropical North Pacific on the Northern Hemisphere wintertime circulation. As the set of model data is ...

Claude Frankignoul; Antoine Molin

1988-12-01T23:59:59.000Z

297

A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression  

Science Conference Proceedings (OSTI)

A hierarchical Bayesian regression model is presented for reconstructing the average summer streamflow at five gauges in the Delaware River basin using eight regional tree-ring chronologies. The model provides estimates of the posterior ...

Naresh Devineni; Upmanu Lall; Neil Pederson; Edward Cook

2013-06-01T23:59:59.000Z

298

Adaptive nonparametric regression on spin fiber bundles  

Science Conference Proceedings (OSTI)

The construction of adaptive nonparametric procedures by means of wavelet thresholding techniques is now a classical topic in modern mathematical statistics. In this paper, we extend this framework to the analysis of nonparametric regression on sections ... Keywords: 42B35, 42C10, 42C40, 46E35, 62G08, 62G20, Adaptive nonparametric regression, Mixed spin needlets, Spin Besov spaces, Spin fiber bundles, Thresholding

Claudio Durastanti; Daryl Geller; Domenico Marinucci

2012-02-01T23:59:59.000Z

299

The Relationship between Statistically Linear and Nonlinear Feedbacks and Zonal-Mean Flow Variability in an Idealized Climate Model  

Science Conference Proceedings (OSTI)

Simulations using an idealized, atmospheric general circulation model (GCM) subjected to various thermal forcings are analyzed via a combination of probability density function (PDF) estimation and spectral analysis techniques. Seven different ...

Sergey Kravtsov; John E. Ten Hoeve; Steven B. Feldstein; Sukyoung Lee; Seok-Woo Son

2009-02-01T23:59:59.000Z

300

DYNA3D/ParaDyn Regression Test Suite Inventory  

Science Conference Proceedings (OSTI)

The following table constitutes an initial assessment of feature coverage across the regression test suite used for DYNA3D and ParaDyn. It documents the regression test suite at the time of production release 10.1 in September 2010. The columns of the table represent groupings of functionalities, e.g., material models. Each problem in the test suite is represented by a row in the table. All features exercised by the problem are denoted by a check mark in the corresponding column. The definition of ''feature'' has not been subdivided to its smallest unit of user input, e.g., algorithmic parameters specific to a particular type of contact surface. This represents a judgment to provide code developers and users a reasonable impression of feature coverage without expanding the width of the table by several multiples. All regression testing is run in parallel, typically with eight processors. Many are strictly regression tests acting as a check that the codes continue to produce adequately repeatable results as development unfolds, compilers change and platforms are replaced. A subset of the tests represents true verification problems that have been checked against analytical or other benchmark solutions. Users are welcomed to submit documented problems for inclusion in the test suite, especially if they are heavily exercising, and dependent upon, features that are currently underrepresented.

Lin, J I

2011-01-25T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Regression based D-optimality experimental design for sparse kernel density estimation  

Science Conference Proceedings (OSTI)

This paper derives an efficient algorithm for constructing sparse kernel density (SKD) estimates. The algorithm first selects a very small subset of significant kernels using an orthogonal forward regression (OFR) procedure based on the D-optimality ... Keywords: D-optimality, Optimal experimental design, Orthogonal forward regression, Parzen window estimate, Probability density function, Sparse kernel modelling

S. Chen; X. Hong; C. J. Harris

2010-01-01T23:59:59.000Z

302

ARM - Evaluation Product - SASHE Langley Regressions  

NLE Websites -- All DOE Office Websites (Extended Search)

ProductsSASHE Langley Regressions ProductsSASHE Langley Regressions Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : SASHE Langley Regressions Site(s) PVC SGP General Description The Shortwave Array Spectroradiometer Hemispheric (SAS-He) is a ground-based instrument that measures both direct and diffuse shortwave irradiance. In this regard, the instrument is similar to the Multi-Filter Rotating Shadowband Radiometer (MFRSR) - an instrument that has been in the ACRF stable for more than 15 years. However, the two instruments differ significantly in wavelength resolution and range. In particular, the SAS-He provides hyperspectral measurements from about 350 nm to 1700 nm at a wavelength resolution from 1 to several nanometers, while the MFRSR only

303

Travel Demand Modeling  

SciTech Connect

This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

2011-01-01T23:59:59.000Z

304

Network regression with predictive clustering trees  

Science Conference Proceedings (OSTI)

Network data describe entities represented by nodes, which may be connected with (related to) each other by edges. Many network datasets are characterized by a form of autocorrelation, where the value of a variable at a given node depends on the values ... Keywords: Autocorrelation, Network data, Predictive clustering trees, Regression inference

Daniela Stojanova; Michelangelo Ceci; Annalisa Appice; Sašo DžEroski

2012-09-01T23:59:59.000Z

305

Application of linear multiple model predictive control (MMPC) framework towards dynamic maximazation of oxygen yield in an elevated-pressure air separation unit  

SciTech Connect

In a typical air separation unit (ASU) utilizing either a simple gaseous oxygen (GOX) cycle or a pumped liquid oxygen (PLOX) cycle, the flowrate of liquid nitrogen (LN2) stream connecting high-pressure and low-pressure ASU columns plays an important role in the total oxygen yield. It has been observed that this yield reaches a maximum at a certain optimal flowrate of LN2 stream. At nominal full-load operation, the flowrate of LN2 stream is maintained near this optimum value, whereas at part-load conditions this flowrate is typically modified in proportion with the load-change (oxygen demand) through a ratio/feed-forward controller. Due to nonlinearity in the entire ASU process, the ratio-modified LN2 flowrate does not guarantee an optimal oxygen yield at part-load conditions. This is further exacerbated when process disturbances in form of “cold-box” heat-leaks enter the system. To address this problem of dynamically maximizing the oxygen yield while the ASU undergoes a load-change and/or a process disturbance, a multiple model predictive control (MMPC) algorithm is proposed. This approach has been used in previous studies to handle large ramp-rates of oxygen demand posed by the gasifier in an IGCC plant. In this study, the proposed algorithm uses linear step-response “blackbox” models surrounding the operating points corresponding to maximum oxygen yield points at different loads. It has been shown that at any operating point of the ASU, the MMPC algorithm, through model-weight calculation based on plant measurements, naturally and continuously selects the dominant model(s) corresponding to the current plant state, while making control-move decisions that approach the maximum oxygen yield point. This dynamically facilitates less energy consumption in form of compressed feed-air compared to a simple ratio control during load-swings. In addition, since a linear optimization problem is solved at each time step, the approach involves much less computational cost compared to a firstprinciple based nonlinear MPC. Introduction

Mahapatra, P.; Zitney, S.; Bequette, B. Wayne

2012-01-01T23:59:59.000Z

306

Linearized Additive Classifiers  

E-Print Network (OSTI)

We revisit the additive model learning literature and adapt a penalized spline formulation due to Eilers and Marx, to train additive classifiers efficiently. We also propose two new embeddings based two classes of orthogonal basis with orthogonal derivatives, which can also be used to efficiently learn additive classifiers. This paper follows the popular theme in the current literature where kernel SVMs are learned much more efficiently using a approximate embedding and linear machine. In this paper we show that spline basis are especially well suited for learning additive models because of their sparsity structure and the ease of computing the embedding which enables one to train these models in an online manner, without incurring the memory overhead of precomputing the storing the embeddings. We show interesting connections between B-Spline basis and histogram intersection kernel and show that for a particular choice of regularization and degree of the B-Splines, our proposed learning algorithm closely appr...

Maji, Subhransu

2011-01-01T23:59:59.000Z

307

A Bayesian Regression Approach to Seasonal Prediction of Tropical Cyclones Affecting the Fiji Region  

Science Conference Proceedings (OSTI)

This study presents seasonal prediction schemes for tropical cyclones (TCs) affecting the Fiji, Samoa, and Tonga (FST) region. Two separate Bayesian regression models are developed: (i) for cyclones forming within the FST region (FORM) and (ii) ...

Savin S. Chand; Kevin J. E. Walsh; Johnny C. L. Chan

2010-07-01T23:59:59.000Z

308

Linear Thermite Charge  

The Linear Thermite Charge (LTC) is designed to rapidly cut through concrete and steel structural components by using extremely high temperature thermite reactions jetted through a linear nozzle. 

309

General linear cameras : theory and applications  

E-Print Network (OSTI)

I present a General Linear Camera (GLC) model that unifies many previous camera models into a single representation. The GLC model describes all perspective (pinhole), orthographic, and many multiperspective (including ...

Yu, Jingyi, 1978-

2005-01-01T23:59:59.000Z

310

Data Mining Within a Regression Framework  

E-Print Network (OSTI)

basis is usally replaced by a B-spline basis. That is, theIn brief, all splines are linear combinations of B-splines;B-splines are a basis for the space of splines. They are

Richard A. Berk

2011-01-01T23:59:59.000Z

311

Data Mining Within a Regression Framework  

E-Print Network (OSTI)

basis is usally replaced by a B-spline basis. That is, theIn brief, all splines are linear combinations of B-splines;B-splines are a basis for the space of splines. They are

Berk, Richard

2004-01-01T23:59:59.000Z

312

Air Leakage of US Homes: Regression  

NLE Websites -- All DOE Office Websites (Extended Search)

Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit Wanyu R. Chan, Jeffrey Joh, and Max H. Sherman Environmental Energy Technologies Division Lawrence Berkeley National Laboratory University of California, Berkeley Berkeley, CA 94720 August 2012 LBNL-5966E 2 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the

313

Asymptotic confidence intervals for Poisson regression  

Science Conference Proceedings (OSTI)

Let (X,Y) be a R^dxN"0-valued random vector where the conditional distribution of Y given X=x is a Poisson distribution with mean m(x). We estimate m by a local polynomial kernel estimate defined by maximizing a localized log-likelihood function. We ... Keywords: 62G08, 62G15, 65H12, Confidence interval, Local polynomial kernel estimate, Poisson regression

Michael Kohler; Adam Krzy?ak

2007-05-01T23:59:59.000Z

314

Handbook on Regression Testing of Digital Systems  

Science Conference Proceedings (OSTI)

Even after established use in power plants, digital monitoring, control, and protection systems typically undergo necessary changes to fix defects, make necessary improvements to functionality, and adapt to the evolution of commercially supported components. These common changes can introduce new defects and cause previously fixed defects to reappear. This handbook is concerned with regression testing, a software testing technique that focuses on ensuring that modifications to proven software-based syste...

2008-02-28T23:59:59.000Z

315

736 EXTENDED ABSTRACTS linear regressions of the data obtained with exposures at high and low  

E-Print Network (OSTI)

for total cancers as a function of dose in the atomic bomb survivors raised the question in some minds rates. Variations on the Theme For many years there have been sporadic reports of increased effec of the reports are for genetic effects), is an enigma unless it represents one aspect of the complex dose

Brenner, David Jonathan

316

Solution to Practice Problems: Linear regression/classification and kNN  

E-Print Network (OSTI)

,073,750 = 82.65 dollars per square foot Square Footage House Price 800 74,000 1150 110,000 1450 134,000 1600 for the price of a house that is 1000 sq. ft. HP = (10,460.42 dollars) + (82.65 dollars per square foot) * (1000, approximately how much would a house cost if it is 1000 square feet? A best-fit line for this data is shown

Yates, Alexander

317

Convertibility of Function Points into COSMIC Function Points: A study using Piecewise Linear Regression  

Science Conference Proceedings (OSTI)

Background: COSMIC Function Points and traditional Function Points (i.e., IFPUG Function Points and more recent variation of Function Points, such as NESMA and FISMA) are probably the best known and most widely used Functional Size Measurement methods. ... Keywords: COSMIC Function Points, Data analysis, Function Point analysis, Functional Size Measurement, Functional size measure convertibility, Outliers

Luigi Lavazza; Sandro Morasca

2011-08-01T23:59:59.000Z

318

Non-linear Regression - Subbituminous / CS-ESP / Darco Hg-LH  

NLE Websites -- All DOE Office Websites (Extended Search)

of Activated Carbon Injection Prepared for U.S. Department of Energy Office of Fossil Energy National Energy Technology Laboratory Innovations for Existing Plants Program...

319

One-loop Higgs boson production at the Linear Collider within the general two-Higgs-doublet model: e+e- versus gamma-gamma  

E-Print Network (OSTI)

We present an updated overview on the phenomenology of one-loop Higgs boson production at Linear Colliders within the general Two-Higgs-Doublet Model (2HDM). First we report on the Higgs boson pair production, and associated Higgs-Z boson production, at O(alpha^3_{ew}) from e+e- collisions. These channels furnish cross-sections in the range of 10-100 fb for Ecm=0.5 TeV and exhibit potentially large radiative corrections (of order 50%), whose origin can be traced back to the genuine enhancement capabilities of the triple Higgs boson self-interactions. Next we consider the loop-induced production of a single Higgs boson from direct gamma-gamma scattering. We single out sizable departures from the corresponding rates in the Standard Model, which are again correlated to trademark dynamical features of the 2HDM -- namely the balance of the non-standard Higgs/gauge, Higgs/fermion and Higgs self-interactions leading to sizable (destructive) interference effects. This pattern of quantum effects is unmatched in the MSSM, and could hence provide distinctive footprints of non-supersymmetric Higgs boson physics. Both calculations are revisited within a common, brought-to-date framework and include, in particular, the most stringent bounds from unitarity and flavor physics.

Joan Sola; David Lopez-Val

2011-07-07T23:59:59.000Z

320

Valuing a gas-fired power plant: A comparison of ordinary linear models, regime-switching approaches, and models with stochastic volatility  

E-Print Network (OSTI)

and natural gas daily spot prices and suggests that with the aim of valuing a gas-fired power plant, there is limited information about modelling electricity and natural gas spot prices distinctly, i.e., taking-run evolution of energy prices, such as oil, coal, and natural gas, and suggests that although the long

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Hybrid modeling to predict the economic feasibility of mining undiscovered porphyry copper deposits  

Science Conference Proceedings (OSTI)

Few studies attempt to model the economic feasibility of mining undiscovered mineral resources given the sparseness of data; and the coupled, nonlinear, spatial, and temporal relationships among variables. In this study, a type of unsupervised artificial ... Keywords: Cluster analysis, Economic filter, Mineral resource assessment, Multivariate linear regression, Porphyry copper, Self-organizing map, Stochastic modeling, Uncertainty

Michael J. Friedel

2013-02-01T23:59:59.000Z

322

Testing Higgs models via the H{sup {+-}}W{sup {-+}}Z vertex by a recoil method at the International Linear Collider  

SciTech Connect

In general, charged Higgs bosons H{sup {+-}} appear in nonminimal Higgs models. The H{sup {+-}}W{sup {-+}}Z vertex is known to be related to the violation of the global symmetry (custodial symmetry) in the Higgs sector. Its magnitude strongly depends on the structure of the exotic Higgs models which contain higher isospin SU(2){sub L} representations such as triplet Higgs bosons. We study the possibility of measuring the H{sup {+-}}W{sup {-+}}Z vertex via single charged Higgs boson production associated with the W{sup {+-}} boson at the International Linear Collider (ILC) by using the recoil method. The feasibility of the signal e{sup +}e{sup -}{yields}H{sup {+-}}W{sup {-+}}{yields}l{nu}jj is analyzed assuming the polarized electron and positron beams and the expected detector performance for the resolution of the two-jet system at the ILC. The background events can be reduced to a considerable extent by imposing the kinematic cuts even if we take into account the initial state radiation. For a relatively light charged Higgs boson whose mass m{sub H}{sup {+-}} is in the region of 120-130 GeV

Kanemura, Shinya; Yagyu, Kei; Yanase, Kazuya [Department of Physics, University of Toyama, 3190 Gofuku, Toyama 930-8555 (Japan)

2011-04-01T23:59:59.000Z

323

Selection of a representative set of parameters for robust ordinal regression outranking methods  

Science Conference Proceedings (OSTI)

We introduce the concept of a representative set of parameters for multiple criteria outranking methods: ELECTRE^G^K^M^S and PROMETHEE^G^K^S which apply the principle of robust ordinal regression. We exploit the necessary and the possible results provided ... Keywords: ELECTRE-like method, Outranking relation, PROMETHEE-like method, Representative preference model, Representative set of parameters, Robust ordinal regression

Mi?osz Kadzi?ski; Salvatore Greco; Roman S?owi?ski

2012-11-01T23:59:59.000Z

324

Technical Section: Linear approximation of Bidirectional Reflectance Distribution Functions  

Science Conference Proceedings (OSTI)

Various empirical and theoretical models of the surface reflectance have been introduced so far. Most of these models are based on functions with non-linear parameters and therefore faces some computational difficulties involved in non-linear optimization ... Keywords: BRDF representation, Linear models, Principal components, Reflection models, Rendering

Aydin Ozturk; Murat Kurt; Ahmet Bilgili; Cengiz Gungor

2008-04-01T23:59:59.000Z

325

Exact acceleration of linear object detectors  

Science Conference Proceedings (OSTI)

We describe a general and exact method to considerably speed up linear object detection systems operating in a sliding, multi-scale window fashion, such as the individual part detectors of part-based models. The main bottleneck of many of those systems ... Keywords: linear object detection, part-based models

Charles Dubout; Fran$#231;ois Fleuret

2012-10-01T23:59:59.000Z

326

Generating exact D-optimal designs for polynomial models  

Science Conference Proceedings (OSTI)

This paper compares several optimization algorithms that can be used to generate exact D-optimal designs (i.e., designs for a specified number of runs) for any polynomial model. The merits and limitations of each algorithm are demonstrated on ... Keywords: general linear regression, mathematical optimization, optimal experimental design

Jacob E. Boon

2007-03-01T23:59:59.000Z

327

Predictive discrete latent factor models for large scale dyadic data  

Science Conference Proceedings (OSTI)

We propose a novel statistical method to predict large scale dyadic response variables in the presence of covariate information. Our approach simultaneously incorporates the effect of covariates and estimates local structure that is induced by interactions ... Keywords: co-clustering, dyadic data, generalized linear regression, latent factor modeling

Deepak Agarwal; Srujana Merugu

2007-08-01T23:59:59.000Z

328

Linear Prediction of Indian Monsoon Rainfall  

Science Conference Proceedings (OSTI)

This paper proposes a strategy for selecting the best linear prediction model for Indian monsoon rainfall. In this strategy, a cross-validation procedure first screens out all models that perform poorly on independent data, then the error ...

Timothy DelSole; J. Shukla

2002-12-01T23:59:59.000Z

329

Linear reachability problems and minimal solutions to linear Diophantine equation systems  

Science Conference Proceedings (OSTI)

The linear reachability problem for finite state transition systems is to decide whether there is an execution path in a given finite state transition system such that the counts of labels on the path satisfy a given linear constraint. Using some known ... Keywords: linear diophantine equation systems, minimal solutions, model-checking, reachability, timed automata

Gaoyan Xie; Cheng Li; Zhe Dang

2004-11-01T23:59:59.000Z

330

Determining the Optimum Number of Predictors for a Linear Prediction Equation  

Science Conference Proceedings (OSTI)

It is generally recognized that all of the available variables should not necessarily be used as predictors in a linear regression equation because the skill of prediction may actually deteriorate with increasing numbers of predictors. The ...

Meg Brady Carr

1988-08-01T23:59:59.000Z

331

Characterization of the 11-Year Solar Signal Using a Multiple Regression Analysis of the ERA-40 Dataset  

Science Conference Proceedings (OSTI)

A multiple linear regression analysis of the ERA-40 dataset for the period 1979–2001 has been used to study the influence of the 11-yr solar cycle on atmospheric temperature and zonal winds. Volcanic, North Atlantic Oscillation (NAO), ENSO, and ...

Simon A. Crooks; Lesley J. Gray

2005-04-01T23:59:59.000Z

332

Linear collider: a preview  

Science Conference Proceedings (OSTI)

Since no linear colliders have been built yet it is difficult to know at what energy the linear cost scaling of linear colliders drops below the quadratic scaling of storage rings. There is, however, no doubt that a linear collider facility for a center of mass energy above say 500 GeV is significantly cheaper than an equivalent storage ring. In order to make the linear collider principle feasible at very high energies a number of problems have to be solved. There are two kinds of problems: one which is related to the feasibility of the principle and the other kind of problems is associated with minimizing the cost of constructing and operating such a facility. This lecture series describes the problems and possible solutions. Since the real test of a principle requires the construction of a prototype I will in the last chapter describe the SLC project at the Stanford Linear Accelerator Center.

Wiedemann, H.

1981-11-01T23:59:59.000Z

333

Detroit as linear city.  

E-Print Network (OSTI)

??Detroit is a city in decline. Through strategic withdrawal into a linear city its main artery -Woodward Avenue- becomes an assembly line that holds different… (more)

Kuys, J.I.

2012-01-01T23:59:59.000Z

334

Linear phase compressive filter  

DOE Patents (OSTI)

A phase linear filter for soliton suppression is in the form of a laddered series of stages of non-commensurate low pass filters with each low pass filter having a series coupled inductance (L) and a reverse biased, voltage dependent varactor diode, to ground which acts as a variable capacitance (C). L and C values are set to levels which correspond to a linear or conventional phase linear filter. Inductance is mapped directly from that of an equivalent nonlinear transmission line and capacitance is mapped from the linear case using a large signal equivalent of a nonlinear transmission line.

McEwan, Thomas E. (Livermore, CA)

1995-01-01T23:59:59.000Z

335

Focusing in Linear Accelerators  

DOE R&D Accomplishments (OSTI)

Review of the theory of focusing in linear accelerators with comments on the incompatibility of phase stability and first-order focusing in a simple accelerator.

McMillan, E. M.

1950-08-24T23:59:59.000Z

336

Linear Graphene Plasmons  

Science Conference Proceedings (OSTI)

The coupling of the plasmon spectra of graphene and a nearby thick plasma is examined here in detail. The coupled modes include linear plasmons. Keywords: Graphene, plasmons, surface

N. J.M. Horing

2010-11-01T23:59:59.000Z

337

Low dose radiation and cancer in A-bomb survivors: latency and non-linear dose-response in the 1950–90 mortality cohort  

E-Print Network (OSTI)

which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background: Analyses of Japanese A-bomb survivors ' cancer mortality risks are used to establish recommended annual dose limits, currently set at 1 mSv (public) and 20 mSv (occupational). Do radiation doses below 20 mSv have significant impact on cancer mortality in Japanese A-bomb survivors, and is the dose-response linear? Methods: I analyse stomach, liver, lung, colon, uterus, and all-solid cancer mortality in the 0 – 20 mSv colon dose subcohort of the 1950–90 (grouped) mortality cohort, by Poisson regression using a time-lagged colon dose to detect latency, while controlling for gender, attained age, and age-atexposure. I compare linear and non-linear models, including one adapted from the cellular bystander effect for ? particles. Results: With a lagged linear model, Excess Relative Risk (ERR) for the liver and all-solid cancers is significantly positive and several orders of magnitude above extrapolations from the Life Span Study Report 12 analysis of the full cohort. Non-linear models are strongly superior to the linear model for the stomach (latency 11.89 years), liver (36.90), lung (13.60) and all-solid (43.86) in fitting

Greg Dropkin; Greg Dropkin

2007-01-01T23:59:59.000Z

338

A linear fluid inertia model for improved prediction of force coefficients in grooved squeeze film dampers and grooved oil seal rings  

E-Print Network (OSTI)

In Squeeze Film Dampers, (SFD), grooves (deep or shallow) are used to feed oil into the damper and prevent oil starvation within the fluid film lands. In oil seals with film land of clearance c, short shallow grooves (depth ? 15c, length ? 30c) are machined to reduce the cross-coupled stiffness coefficients, and thus improve the seal stability characteristics. Moreover, test stands for these devices can also incorporate grooves or recesses as part of oil feeding/ discharge arrangements. A common assumption is that these grooves do not influence the test system forced response. However, unexpected large added mass coefficients are reported in these configurations and not adequately predicted. In the case of grooved oil seals, experimental results also show that circumferential grooves do aid to reduce cross-coupled force coefficients but to a lesser extent than predictions otherwise indicate. A linear fluid inertia model for analysis of multiple-groove SFD or oil seal configurations is advanced. A perturbation analysis for small motion about a journal centered and off-centered position yields zeroth and first order flow equations defined at each individual flow region (land and grooves) of constant clearance ( c ).The analysis considers both the circumferential and axial dynamic pressure variations across the groove and land regions. At the groove regions, an effective groove depth ( d? ) and effective clearance (c d c ? ? = + ) are defined based on qualitative observations of the laminar flow pattern through annular cavities. This depth differs from the actual physical groove depth. The boundary conditions at the inlet and exit plane are a function of the geometric configuration. Integration of the resulting dynamic pressure fields on the journal surface yields the force coefficients (stiffness, damping, and inertia). Comparisons between predicted and experimental force coefficients for a grooved oil seal and a SFD show excellent correlation over a narrow range of effective groove depths. The results confirm that large added mass coefficients are associated to the feed/discharge grooves in the scrutinized test configurations. Furthermore, predictions, benchmarking experimental data, corroborate that short inner land grooves in an oil seal do not isolate the pressure field of the adjacent film lands, and hence contribute greatly to the force response of the seal.

Delgado-Marquez, Adolfo

2008-12-01T23:59:59.000Z

339

Can linear approximation improve performance prediction ?  

Science Conference Proceedings (OSTI)

Software performance evaluation relies on the ability of simple models to predict the performance of complex systems. Often, however, the models are not capturing potentially relevant effects in system behavior, such as sharing of memory caches or sharing ... Keywords: linear models, performance modeling, resource sharing

Vlastimil Babka; Petr T?ma

2011-10-01T23:59:59.000Z

340

Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks  

Science Conference Proceedings (OSTI)

Since superconducting coils cause the current decay due to connection resistance and intrinsic characteristic in the persistent current mode, various current compensations should be required to maintain stable property in the superconducting magnet system. ... Keywords: Charging characteristic, Fuzzy C-means (FCM) clustering method, Granular-based radial basis function neural network, Information granules, K-means clustering, Linear-type superconducting power supply

H. -S. Park; W. Pedrycz; Y. -D. Chung; S. -K. Oh

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Modeling Plot-Level Biomass and Volume Using Airborne and Terrestrial Lidar Measurements  

E-Print Network (OSTI)

The United States Forest Service (USFS) Forest Inventory and Analysis (FIA) program provides a diverse selection of data used to assess the status of the nation’s forested areas using sample locations dispersed throughout the country. Airborne, and more recently, terrestrial lidar (light detection and ranging) systems are capable of producing accurate measurements of individual tree dimensions and also possess the ability to characterize three-dimensional vertical forest structure. This study investigates the potential of airborne and terrestrial scanning lidar systems for modeling forest volume and aboveground biomass on FIA subplots in the Malheur National Forest, eastern Oregon. A methodology for the creation of five airborne lidar metric sets (four point cloud-based and one individual tree based) and four terrestrial lidar metric sets (three height-based and one distance-based) is presented. Metrics were compared to estimates of subplot aboveground biomass and gross volume derived from FIA data using national and regional allometric equations respectively. Simple linear regression models from the airborne lidar data accounted for 15 percent of the variability in subplot biomass and 14 percent of the variability in subplot volume, while multiple linear regression models increased these amounts to 29 percent and 25 percent, respectively. When subplot estimates of biophysical parameters were scaled to the plot-level and compared with plot-level lidar metrics, simple linear regression models were able to account for 60 percent of the variability in biomass and 71 percent of the variation in volume. Terrestrial lidar metrics produced moderate results with simple linear regression models accounting for 41 percent of the variability in biomass and 46 percent of the variability in volume, with multiple linear regression models accounting for 71 percent and 84 percent, respectively. Results show that: (1) larger plot sizes help to mitigate errors and produce better models; and (2) a combination of height-based and distance-based terrestrial lidar metrics has the potential to estimate biomass and volume on FIA subplots.

Sheridan, Ryan D.

2011-05-01T23:59:59.000Z

342

Waste management under multiple complexities: Inexact piecewise-linearization-based fuzzy flexible programming  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer Inexact piecewise-linearization-based fuzzy flexible programming is proposed. Black-Right-Pointing-Pointer It's the first application to waste management under multiple complexities. Black-Right-Pointing-Pointer It tackles nonlinear economies-of-scale effects in interval-parameter constraints. Black-Right-Pointing-Pointer It estimates costs more accurately than the linear-regression-based model. Black-Right-Pointing-Pointer Uncertainties are decreased and more satisfactory interval solutions are obtained. - Abstract: To tackle nonlinear economies-of-scale (EOS) effects in interval-parameter constraints for a representative waste management problem, an inexact piecewise-linearization-based fuzzy flexible programming (IPFP) model is developed. In IPFP, interval parameters for waste amounts and transportation/operation costs can be quantified; aspiration levels for net system costs, as well as tolerance intervals for both capacities of waste treatment facilities and waste generation rates can be reflected; and the nonlinear EOS effects transformed from objective function to constraints can be approximated. An interactive algorithm is proposed for solving the IPFP model, which in nature is an interval-parameter mixed-integer quadratically constrained programming model. To demonstrate the IPFP's advantages, two alternative models are developed to compare their performances. One is a conventional linear-regression-based inexact fuzzy programming model (IPFP2) and the other is an IPFP model with all right-hand-sides of fussy constraints being the corresponding interval numbers (IPFP3). The comparison results between IPFP and IPFP2 indicate that the optimized waste amounts would have the similar patterns in both models. However, when dealing with EOS effects in constraints, the IPFP2 may underestimate the net system costs while the IPFP can estimate the costs more accurately. The comparison results between IPFP and IPFP3 indicate that their solutions would be significantly different. The decreased system uncertainties in IPFP's solutions demonstrate its effectiveness for providing more satisfactory interval solutions than IPFP3. Following its first application to waste management, the IPFP can be potentially applied to other environmental problems under multiple complexities.

Sun Wei [Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, S4S 0A2 (Canada); Huang, Guo H., E-mail: huang@iseis.org [Institute for Energy, Environment and Sustainability Research, UR-NCEPU, North China Electric Power University, Beijing 102206 (China); Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Saskatchewan, S4S 0A2 (Canada); Lv Ying; Li Gongchen [Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, S4S 0A2 (Canada)

2012-06-15T23:59:59.000Z

343

Fast Bayesian Model Assessment for Nonparametric Additive Regression $  

E-Print Network (OSTI)

hydrocarbon fossil fuels to biofuels (particularly bioethanol and biodiesel).5­9 hal-00602695,version1" for transportation. hal-00602695,version1-9Jul2013 #12;Ethanol is produced by alcoholic fermentation of sucrose

Ghoshal, Subhashis

344

Heterogeneous breast phantom development for microwave imaging using regression models  

Science Conference Proceedings (OSTI)

As new algorithms for microwave imaging emerge, it is important to have standard accurate benchmarking tests. Currently, most researchers use homogeneous phantoms for testing new algorithms. These simple structures lack the heterogeneity of the dielectric ...

Camerin Hahn; Sima Noghanian

2012-01-01T23:59:59.000Z

345

Estimation in Hazard Regression Models under Ordered Departures from Proportionality  

E-Print Network (OSTI)

ri wkh gdwd wlowlqj phwkrgrorj| lv wr #15;qg s @ s #24;wkdw plqlplvhv d srzhu phdvxuh ri glyhujhqfh +Fuhvvlh dqg Uhdg/ 4<;7, iurp s #19;#20;#14; #18;#22;#21;dprqj doo s*v iru zklfk wkh frqvwudlqw lv vdwlv#15;hg/ l1h1/ iru zklfk a#15; #19;w #7; #3; #8... wkh hoderudwh mdfnqlih surfhgxuhv uhtxluhg lq wkh suhylrxvphwkrg1Ixuwkhu/ zh #15;qg dgdswlyh edqgzlgwk hvwlpdwruv hdvlhu wr lqwhusuhw wkdq gdwd wlow0lqj1 Jlyhq wkh rswlpdo edqgzlgwkv dw wkh gl#14;huhqw djhv/ wkh xvhu fdq dovr lqihu derxwwkh vwuhqjwk ri...

Bhattacharjee, Arnab

2004-06-16T23:59:59.000Z

346

Own-price and income elasticities for household electricity demand : a survey of literature using meta-regression analysis.  

E-Print Network (OSTI)

??Maria Wist Langmoen Own-price and income elasticities for household electricity demand -A Literature survey using meta-regression analysis Economists have been modelling the electricity demand for… (more)

Langmoen, Maria Wist

2004-01-01T23:59:59.000Z

347

Linear Anelastic Equations for Atmospheric Vortices  

Science Conference Proceedings (OSTI)

A linear anelastic-vortex model is derived using assumptions appropriate to waves on vortices with scales similar to tropical cyclones. The equation set is derived through application of a multiple-scaling technique, such that the radial ...

Daniel Hodyss; David S. Nolan

2007-08-01T23:59:59.000Z

348

Linear Baroclinic Instability in the Martian Atmosphere  

Science Conference Proceedings (OSTI)

The linear baroclinic instability of zonal-mean flows like those in the wintertime Martian atmosphere under both relatively nondusty and highly dusty conditions is examined using a spherical quasi-geostrophic model. The basic states are idealized,...

Jeffrey R. Barnes

1984-05-01T23:59:59.000Z

349

Robust Neural Network Regression for Ofine and Online Learning  

E-Print Network (OSTI)

. The latter Now with McKinsey & Company, Inc. #12;is commonly used for robust regression. The £rst goal

Tresp, Volker

350

FE Magnetic Field Analysis Simulation Models based Design, Development, Control and Testing of An Axial Flux Permanent Magnet Linear Oscillating Motor  

E-Print Network (OSTI)

Abstract- Development, finite element(FE) analysis of magnetic field distribution, performance, control and testing of a new axial flux permanent magnet linear oscillating motor (PMLOM) along with a suitable speed and thrust control technique is described in this paper. The PMLOM can perform precision oscillation task without exceeding the given limit on allowable average power dissipation. The use of new powerful permanent magnet materials such as Neodymium-Iron-Boron alloys can greatly improve the performance of electrical machines. Also its performance parameters, such as the force, current etc. are experimentally assessed. The objective of this paper is to determine the forces for aluminium mover embedded with rare earth permanent magnet experimentally and analytically through FEMM software and develop a microcontroller based IGBT Inverter for its control. Index Terms- Axial flux machine, finite element analysis, microcontroller based IGBT inverter, permanent magnet linear oscillating motor, rare earth permanent magnet. I.

Govindaraj T; Prof Dr; Ashoke K. Ganguli

2009-01-01T23:59:59.000Z

351

A linear program for testing local realism  

E-Print Network (OSTI)

We present a linear program that is capable of determining whether a set of correlations can be captured by a local realistic model. If the correlations can be described by such a model, the linear program outputs a joint probability distribution that produces the given correlations. If the correlations cannot be described under the assumption of local realism, the program outputs a Bell inequality violated by the correlations.

Matthew B. Elliott

2009-05-18T23:59:59.000Z

352

North Linear Accelerator  

NLE Websites -- All DOE Office Websites (Extended Search)

North Linear Accelerator North Linear Accelerator Building Exterior Beam Enclosure Level Walk to the North Spreader North Recombiner Extras! North Linear Accelerator The North Linear Accelerator is one of the two long, straight sections of Jefferson Lab's accelerator. Electrons gain energy in this section by passing through acceleration cavities. There are 160 cavities in this straightaway, all lined up end to end. That's enough cavities to increase an electron's energy by 400 million volts each time it passes through this section. Electrons can pass though this section as many as five times! The cavities are powered by microwaves that travel down the skinny rectangular pipes from the service buildings above ground. Since the cavities won't work right unless they are kept very cold, they

353

Linear Motor Powered Transportation  

E-Print Network (OSTI)

This special issue on linear-motor powered transportation covers both supporting technologies and innovative transport systems in various parts of the World, as this technology moves from the lab to commercial operations. ...

Thornton, Richard D.

354

Edges and linearization  

E-Print Network (OSTI)

This thesis is concerned with how grammar determines the phonological consequence of syntactic dislocation. It centers on a hypothesis regarding the linearization of movement chains - the Edge Condition on Copy Deletion, ...

Trinh, Tue H. (Tue Huu)

2011-01-01T23:59:59.000Z

355

Linear Baroclinic instability with the Geostrophic Momentum Approximation  

Science Conference Proceedings (OSTI)

The linear Eady model of baroclinic instability with the geostrophic momentum (GM) approximation is solved analytically in physical space and shown to be identical to linear three-dimensional semigeostrophic theory. Both the growth rates and the ...

Peter R. Bannon

1989-02-01T23:59:59.000Z

356

2011 Special Issue: Reliable prediction intervals with regression neural networks  

Science Conference Proceedings (OSTI)

This paper proposes an extension to conventional regression neural networks (NNs) for replacing the point predictions they produce with prediction intervals that satisfy a required level of confidence. Our approach follows a novel machine learning framework, ... Keywords: Confidence measures, Conformal Prediction, Neural networks, Prediction intervals, Regression, Total Electron Content

Harris Papadopoulos; Haris Haralambous

2011-10-01T23:59:59.000Z

357

Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit  

NLE Websites -- All DOE Office Websites (Extended Search)

Leakage of US Homes: Regression Analysis and Improvements from Retrofit Leakage of US Homes: Regression Analysis and Improvements from Retrofit Title Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit Publication Type Report LBNL Report Number LBNL-5966E Year of Publication 2012 Authors Chan, Wanyu R., Jeffrey Joh, and Max H. Sherman Date Published 08/2012 Keywords air infiltration, blower door, fan pressurization measurements, retrofit, weatherization Abstract LBNL Residential Diagnostics Database (ResDB) contains blower door measurements and other diagnostic test results of homes in United States. Of these, approximately 134,000 single-family detached homes have sufficient information for the analysis of air leakage in relation to a number of housing characteristics. We performed regression analysis to consider the correlation between normalized leakage and a number of explanatory variables: IECC climate zone, floor area, height, year built, foundation type, duct location, and other characteristics. The regression model explains 68% of the observed variability in normalized leakage. ResDB also contains the before and after retrofit air leakage measurements of approximately 23,000 homes that participated in weatherization assistant programs (WAPs) or residential energy efficiency programs. The two types of programs achieve rather similar reductions in normalized leakage: 30% for WAPs and 20% for other energy programs.

358

Next Linear Collider Home Page  

NLE Websites -- All DOE Office Websites (Extended Search)

Welcome to the Next Linear Collider NLC Home Page If you would like to learn about linear colliders in general and about this next-generation linear collider project's mission,...

359

On test suite composition and cost-effective regression testing  

E-Print Network (OSTI)

Regression testing is an expensive testing process used to re-validate software as it evolves. Various methodologies for improving regression testing processes have been explored, but the cost-effectiveness of these methodologies has been shown to vary with characteristics of regression test suites. One such characteristic involves the way in which test inputs are composed into test cases within a test suite. This article reports the results of controlled experiments examining the effects of two factors in test suite composition — test suite granularity and test input grouping — on the costs and benefits of several regression-testing-related methodologies: retest-all, regression test selection, test suite reduction, and test case prioritization. These experiments consider the application of several specific techniques, from each of these methodologies, across ten releases each of two substantial software systems, using seven levels of test suite granularity and two types of test input grouping. The effects of granularity, technique, and grouping on the cost and fault-detection effectiveness of regression testing under the given methodologies are analyzed. This analysis shows that test suite granularity significantly affects several cost-benefit factors for the methodologies considered, while test input grouping has limited effects. Further, the results expose essential tradeoffs affecting the relationship between test suite design and regression testing cost-effectiveness, with several implications for practice. 1

Gregg Rothermel; Sebastian Elbaum; Alexey Malishevsky; Praveen Kallakuri

2004-01-01T23:59:59.000Z

360

Portable Linear Accelerator Development  

Science Conference Proceedings (OSTI)

This report describes Minac-3, a miniaturized linear accelerator system. It covers the current equipment capabilities and achievable modifications, applications information for prospective users, and technical information on high-energy radiography that is useful for familiarization and planning. The design basis, development, and applications history of Minac are also summarized.

1982-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Lecture Notes on Classical Linear Logic 15-816: Linear Logic  

E-Print Network (OSTI)

Originally, linear logic was conceived by Girard [Gir87] as a classical system, with one-sided sequents, an involutive negation, and an appropriate law of excluded middle. For a number of the applications, such as functional computation, logic programming, and implicit computational complexity the intuitionistic version is more suitable. In the case of concurrent computation, both classical and intuitionistic systems may be used, although the additional expressiveness afforded by the intuitionistic system seems to have some advantages even in that setting. In this lecture we present classical linear logic and then show that we can easily interpret it intuitionistically. Briefly, classical linear logic can be modeled intuitionistically as deriving a contradiction from linear assumptions. This is shown via a so-called double-negation translation. Its parametric nature allows a number of additional variants of classical linear logic to be explained intuitionistically, in particular the so-called mix rules. 1 Classical Linear Sequents

Frank Pfenning

2012-01-01T23:59:59.000Z

362

DARK ENERGY AND NON–LINEAR PERTURBATIONS  

E-Print Network (OSTI)

Dark energy might have an influence on the formation of non–linear structures during the cosmic history. For example, in models in which dark energy couples to dark matter, it will be non–homogeneous and will influence on the collapse of a dark matter overdensity. We use the spherical collapse model to estimate how much influence dark energy might have. 1.

C. Van; De Bruck; D. F. Mota

2005-01-01T23:59:59.000Z

363

Dark Energy and Non-linear Perturbations  

E-Print Network (OSTI)

Dark energy might have an influence on the formation of non--linear structures during the cosmic history. For example, in models in which dark energy couples to dark matter, it will be non--homogeneous and will influence the collapse of a dark matter overdensity. We use the spherical collapse model to estimate how much influence dark energy might have.

C. van de Bruck; D. F. Mota

2005-01-14T23:59:59.000Z

364

Scheduling functional regression tests for IBM DB2 products  

Science Conference Proceedings (OSTI)

Functional Regression Testing (FRT) is performed to ensure that a new version of a product functions properly as designed. In a corporate environment, the large numbers of test jobs and the complexity of scheduling the jobs on different platforms make ...

Edward Xia; Igor Jurisica; Julie Waterhouse; Valerie Sloan

2005-10-01T23:59:59.000Z

365

A multi-regression analysis of airline indirect operating costs  

E-Print Network (OSTI)

A multiple regression analysis of domestic and local airline indirect costs was carried out to formulate cost estimating equations for airline indirect costs. Data from CAB and FAA sources covering the years 1962-66 was ...

Taneja, Nawal K.

1968-01-01T23:59:59.000Z

366

Analysis of some methods for reduced rank gaussian process regression  

Science Conference Proceedings (OSTI)

While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational complexity makes them impractical when the size of the training set exceeds a few thousand ...

Joaquin Quiñonero-Candela; Carl Edward Rasmussen

2003-09-01T23:59:59.000Z

367

Post-pruning in regression tree induction: An integrated approach  

Science Conference Proceedings (OSTI)

The regression tree (RT) induction process has two major phases: the growth phase and the pruning phase. The pruning phase aims to generalize the RT that was generated in the growth phase by generating a subtree that avoids over-fitting to the training ... Keywords: Analytic hierarchy process, Data mining, Decision tree, Mixed integer programming, Multi-objective programming, Performance measures, Post-pruning, Regression tree

Kweku-Muata Osei-Bryson

2008-02-01T23:59:59.000Z

368

Oil price shocks: Testing a macroeconomic model  

SciTech Connect

The main research objective was to answer the following question: Will Consumer Price Index forecast models utilizing computer oil-consumption ratios have better predictive capability as indicated by lower numerical differences from actual results than a model utilizing oil prices as the energy-related variable Multiple linear regressions were run on the components of the United States CPI to reduce them to a kernel set with meaningful predictive capability. New linear regressions were run with this kernel set and crude oil prices during the 1973 to 1984 time period. Crude oil prices were rationalized with a 1972 = 100 based index of GNP base petroleum consumption, the index of net energy imports, and the index of petroleum imports to create new oil substitute constructs to be used in multiple regressions with the CPI. Predictions obtained from the model were compared with actual results in the 1985-1987 time period to determine which model version showed the greatest predictive power. Results of the model tests show that oil prices are strongly related to the CPI, but neither the use of oil prices or the index of GNP-based petroleum consumption produced results that closely predict future prices.

Williams, D.D.

1988-01-01T23:59:59.000Z

369

Modeling wealth distribution in growing markets  

E-Print Network (OSTI)

We introduce an auto-regressive model which captures the growing nature of realistic markets. In our model agents do not trade with other agents, they interact indirectly only through a market. Change of their wealth depends, linearly on how much they invest, and stochastically on how much they gain from the noisy market. The average wealth of the market could be fixed or growing. We show that in a market where investment capacity of agents differ, average wealth of agents generically follow the Pareto-law. In few cases, the individual distribution of wealth of every agent could also be obtained exactly. We also show that the underlying dynamics of other well studied kinetic models of markets can be mapped to the dynamics of our auto-regressive model.

Urna Basu; P. K. Mohanty

2008-03-27T23:59:59.000Z

370

Air pollutant emissions prediction by process modelling - Application in the iron and steel industry in the case of a re-heating furnace  

Science Conference Proceedings (OSTI)

Monitoring air pollutant emissions of large industrial installations is necessary to ensure compliance with environmental legislation. Most of the available measurement techniques are expensive, and measurement conditions such as high-temperature emissions, ... Keywords: Artificial neural networks, CO2, Correlation method, Fume emissions, Multiple linear regression, NO2, Steelworks process modelling

Anda Ionescu; Yves Candau

2007-09-01T23:59:59.000Z

371

The TESLA superconducting linear collider  

Science Conference Proceedings (OSTI)

This paper summarizes the present status of the studies for a superconducting Linear Collider (TESLA).

R. Brinkmann; the TESLA Collaboration

1997-01-01T23:59:59.000Z

372

Linear induction accelerator  

DOE Patents (OSTI)

A linear induction accelerator includes a plurality of adder cavities arranged in a series and provided in a structure which is evacuated so that a vacuum inductance is provided between each adder cavity and the structure. An energy storage system for the adder cavities includes a pulsed current source and a respective plurality of bipolar converting networks connected thereto. The bipolar high-voltage, high-repetition-rate square pulse train sets and resets the cavities. 4 figs.

Buttram, M.T.; Ginn, J.W.

1988-06-21T23:59:59.000Z

373

Received: 17 August 2008, Revised: 18 October 2008, Accepted: 29 October 2008, Published online in Wiley InterScience: 2009 Modeling multi-way data with linearly  

E-Print Network (OSTI)

their patterns of variation. To demonstrate the approach, we apply it first to fluorescence spectroscopy types of radiative energy transfer in fluorescence spectroscopy, as described, e.g. by Ross and Leurgans for a fluorescence dataset. The actual results of applying the models are discussed in Section 4. An algorithm

Sidiropoulos, Nikolaos D.

374

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey)  

Science Conference Proceedings (OSTI)

The purpose of this study is to compare the landslide susceptibility mapping methods of frequency ratio (FR), logistic regression and artificial neural networks (ANN) applied in the Kat County (Tokat-Turkey). Digital elevation model (DEM) was first constructed ... Keywords: Artificial neural networks, Frequency ratio, GIS, Kat (Tokat-Turkey), Landslide, Logistic regression, Susceptibility map

I??k Yilmaz

2009-06-01T23:59:59.000Z

375

A renormalized large-n solution of the U(n) x U(n) linear sigma model in the broken symmetry phase  

E-Print Network (OSTI)

Dyson-Schwinger equations for the U(n) x U(n) symmetric matrix sigma model reformulated with two auxiliary fields in a background breaking the symmetry to U(n) are studied in the so-called bare vertex approximation. A large n solution is constructed under the supplementary assumption so that the scalar components are much heavier than the pseudoscalars. The renormalizability of the solution is investigated by explicit construction of the counterterms.

G. Fejos; A. Patkos

2010-05-09T23:59:59.000Z

376

Optical linear algebra  

SciTech Connect

Many of the linear algebra operations and algorithms possible on optical matrix-vector processors are reviewed. Emphasis is given to the use of direct solutions and their realization on systolic optical processors. As an example, implicit and explicit solutions to partial differential equations are considered. The matrix-decomposition required is found to be the major operation recommended for optical realization. The pipelining and flow of data and operations are noted to be key issues in the realization of any algorithm on an optical systolic array processor. A realization of the direct solution by householder qr decomposition is provided as a specific case study. 19 references.

Casasent, D.; Ghosh, A.

1983-01-01T23:59:59.000Z

377

Kuparuk River field: a regression approach to pseudo-relative permeabilities  

SciTech Connect

The Kuparuk River field located about 25 miles west of the Prudhoe Bay Unit, North Slope Alaska, represents a large accumulation of oil spread over a wide areal extent. The large areal extent of the reservoir presented a major difficulty for full scale reservoir simulation of this field especially under waterflood conditions. To overome this difficulty a regression approach was successfully used to match finely-gridded, three-dimensional waterflood models with coarse-grid models. With this technique it was possible to construct a fieldwide model for facilities planning and to study the effect of facilities on ultimate recovery from the reservoir. 6 refs.

Johnson, J.B.; Nanney, M.M.; Killough, J.E.; Lin, Y.T.

1982-01-01T23:59:59.000Z

378

A Comparative Study of Multi-step-ahead Prediction for Crude Oil Price with Support Vector Regression  

Science Conference Proceedings (OSTI)

Accurate prediction on crude oil price in a long time horizon has been appealing both for academia and practitioners. Recursive strategy and direct strategy are two mainstream modeling schemas widely used for multi-step-ahead prediction in the context ... Keywords: Crude Oil Price Predicition, Multip-step-aheand Prediction, Support Vector Regression, Time Sereis Modeling

Yukun Bao; Yunfei Yang; Tao Xiong; Jinlong Zhang

2011-04-01T23:59:59.000Z

379

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

1 1 May 2001 Lattice Description for NLC Damping Rings at 120 Hz Andrzej Wolski Lawrence Berkeley National Laboratory Abstract: We present a lattice design for the NLC Main Damping Rings at 120 Hz repe tition rate. A total wiggler length of a little over 46 m is needed to achieve the damping time required for extracted, normalized, vertical emittance below 0.02 mm mrad. The dynamic aperture (using a linear model for the wiggler) is in excess of 15 times the injected beam size. The principal lattice parameters and characteristics are presented in this note; we also outline results of studies of alignment and field quality tolerances. CBP Tech Note-227 LCC-0061 Lattice Description for NLC Main Damping Rings at 120 Hz Andrzej Wolski Lawrence Berkeley National Laboratory

380

History of Proton Linear Accelerators  

DOE R&D Accomplishments (OSTI)

Some personal recollections are presented that relate to the author`s experience developing linear accelerators, particularly for protons. (LEW)

Alvarez, L. W.

1987-01-00T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

HEAVY ION LINEAR ACCELERATOR  

DOE Patents (OSTI)

A linear accelerator of heavy ions is described. The basic contributions of the invention consist of a method and apparatus for obtaining high energy particles of an element with an increased charge-to-mass ratio. The method comprises the steps of ionizing the atoms of an element, accelerating the resultant ions to an energy substantially equal to one Mev per nucleon, stripping orbital electrons from the accelerated ions by passing the ions through a curtain of elemental vapor disposed transversely of the path of the ions to provide a second charge-to-mass ratio, and finally accelerating the resultant stripped ions to a final energy of at least ten Mev per nucleon.

Van Atta, C.M.; Beringer, R.; Smith, L.

1959-01-01T23:59:59.000Z

382

Lake Aggregate Mesoscale Disturbances. Part I: Linear Analysis  

Science Conference Proceedings (OSTI)

The steady boundary-layer responses that occur over the Great Lakes region during wintertime cold air outbreaks are examined using a two-dimensional, linear, analytic model. The planetary boundary layer (PBL) is modeled as an idealized, ...

Peter J. Sousounis; Hampton N. Shirer

1992-01-01T23:59:59.000Z

383

Reconciling Non-Gaussian Climate Statistics with Linear Dynamics  

Science Conference Proceedings (OSTI)

Linear stochastically forced models have been found to be competitive with comprehensive nonlinear weather and climate models at representing many features of the observed covariance statistics and at predictions beyond a week. Their success ...

Prashant D. Sardeshmukh; Philip Sura

2009-03-01T23:59:59.000Z

384

Residential wood burning: Energy modeling and conventional fuel displacement in a national sample  

SciTech Connect

This research studied the natural, built, and behavioral factors predictive of energy consumption for residential space heating with wood or conventional fuels. This study was a secondary analysis of survey data from a nationwide representative sample of 5,682 households collected DOE in the 1984-1985 REC survey. Included were: weather, census division and utility data, interviewer-supplied dwelling measurements and respondent-reported energy-related family behaviors. Linear-regression procedures were used to develop a model that identified key determinants accounting for the variability in wood consumption. A nonlinear-regression model was employed to estimate the amount of conventional fuels used for space heating. The model was also used to estimate the amount of conventional fuels being displaced by wood-heating systems. There was a significant (p {le} .05) linear relationship between the dependent variable, square root of cords burned, various independent variables.

Warsco, K.S.

1988-01-01T23:59:59.000Z

385

MASTER'S PROJECT NONPARAMETRIC SURVEY REGRESSION ESTIMATION IN TWO-STAGE  

E-Print Network (OSTI)

Northeastern Lakes Survey. Siobhan Everson-Stewart Statistics Department Colorado State University Fort Collins data, aerial pho- tographs, or other sources. In a common survey situation, a statistical agency, oftenMASTER'S PROJECT NONPARAMETRIC SURVEY REGRESSION ESTIMATION IN TWO-STAGE SPATIAL SAMPLING Submitted

386

Automated root cause isolation of performance regressions during software development  

Science Conference Proceedings (OSTI)

Performance is crucial for the success of an application. To build responsive and cost efficient applications, software engineers must be able to detect and fix performance problems early in the development process. Existing approaches are either relying ... Keywords: performance regression, root cause analysis

Christoph Heger; Jens Happe; Roozbeh Farahbod

2013-04-01T23:59:59.000Z

387

Book Reviews 935 Statistical Learning from a Regression Perspective  

E-Print Network (OSTI)

Book Reviews 935 Statistical Learning from a Regression Perspective R. A. Berk, 2008 New York developed statistical learning techniques. The emphasis in the book is more on the applications in detail. This book should be of interest to statisticians for a few reasons. Firstly, it gathers together

Carlin, Bradley P.

388

15.060 Data, Models, and Decisions, Fall 2002  

E-Print Network (OSTI)

Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, linear and nonlinear optimization, ...

Freund, Robert Michael

389

Linear induction pump  

DOE Patents (OSTI)

Electromagnetic linear induction pump for liquid metal which includes a unitary pump duct. The duct comprises two substantially flat parallel spaced-apart wall members, one being located above the other and two parallel opposing side members interconnecting the wall members. Located within the duct are a plurality of web members interconnecting the wall members and extending parallel to the side members whereby the wall members, side members and web members define a plurality of fluid passageways, each of the fluid passageways having substantially the same cross-sectional flow area. Attached to an outer surface of each side member is an electrically conductive end bar for the passage of an induced current therethrough. A multi-phase, electrical stator is located adjacent each of the wall members. The duct, stators, and end bars are enclosed in a housing which is provided with an inlet and outlet in fluid communication with opposite ends of the fluid passageways in the pump duct. In accordance with a preferred embodiment, the inlet and outlet includes a transition means which provides for a transition from a round cross-sectional flow path to a substantially rectangular cross-sectional flow path defined by the pump duct.

Meisner, John W. (Newbury Park, CA); Moore, Robert M. (Canoga Park, CA); Bienvenue, Louis L. (Chatsworth, CA)

1985-03-19T23:59:59.000Z

390

Berkeley Proton Linear Accelerator  

DOE R&D Accomplishments (OSTI)

A linear accelerator, which increases the energy of protons from a 4 Mev Van de Graaff injector, to a final energy of 31.5 Mev, has been constructed. The accelerator consists of a cavity 40 feet long and 39 inches in diameter, excited at resonance in a longitudinal electric mode with a radio-frequency power of about 2.2 x 10{sup 6} watts peak at 202.5 mc. Acceleration is made possible by the introduction of 46 axial "drift tubes" into the cavity, which is designed such that the particles traverse the distance between the centers of successive tubes in one cycle of the r.f. power. The protons are longitudinally stable as in the synchrotron, and are stabilized transversely by the action of converging fields produced by focusing grids. The electrical cavity is constructed like an inverted airplane fuselage and is supported in a vacuum tank. Power is supplied by 9 high powered oscillators fed from a pulse generator of the artificial transmission line type.

Alvarez, L. W.; Bradner, H.; Franck, J.; Gordon, H.; Gow, J. D.; Marshall, L. C.; Oppenheimer, F. F.; Panofsky, W. K. H.; Richman, C.; Woodyard, J. R.

1953-10-13T23:59:59.000Z

391

Solving linear program as linear system in polynomial time  

Science Conference Proceedings (OSTI)

A physically concise polynomial-time iterative-cum-non-iterative algorithm is presented to solve the linear program (LP) Minc^txsubject toAx=b,x>=0. The iterative part-a variation of Karmarkar projective transformation algorithm-is essentially due to ... Keywords: Barnes algorithm, Error-free computation, Linear program, Linear system, Matlab program, Polynomial-time iterative-cum-non-iterative algorithm

Syamal K. Sen; Suja Ramakrishnan; Ravi P. Agarwal

2011-03-01T23:59:59.000Z

392

Manuscrit auteur, publié dans "42èmes Journées de Statistique (2010)" A Functional Regression Approach for Prediction in a District-Heating System  

E-Print Network (OSTI)

Nous considérons le problème de la prédiction à court terme des pics de demande dans un système de chauffage urbain. Notre dataset consiste en quatre périodes séparées, avec 198 jours pour chaque période et 24 observations horaires dans chaque jour relatifs à la consommation de chaleur et le climat. Nous tenons en considération la nature fonctionnelle des données et proposons une méthodologie de prédiction basée sur la régression fonctionnelle. L’influence de variables explicatives exogènes est modelée d’une façon appropriée. Le résultats “out-of-sample ” de l’approche proposée sont évalués. We consider the problem of short-term peak demand forecasting in a district heating system. Our dataset consists of four separated periods, with 198 days each period and 24 hourly observations within each day relative to heat consumption and climate. We take advantage of the functional nature of the data and we propose a forecasting methodology based on functional regression. The influence of exogenous explanatory variables is modelled in a suitable way. The out-of-sample performances of the proposed approach are evaluated. Mots clés Functional linear model, penalized splines estimation, peak load forecasting, district heating system

Aldo Goia

2010-01-01T23:59:59.000Z

393

Load transfer coupling regression curve fitting for distribution load forecasting  

SciTech Connect

The planning of distribution facilities requires forecasts of future substation and feeder loads. Extrapolation based on a curve fit to past annual peak loads is currently the most popular manner of accomplishing this forecast. Curve fitting suffers badly from data shifts caused by switching as loads are routinely moved from one substation to another during the course of utility operations. This switching contaminates the data, reducing forecast accuracy. A new regression application reduces error due to these transfers by over an order of magnitude. A key to the usefulness of this method is that the amount of the transfer, and its direction (whether it was to or from a substation), is not a required input. The new technique, aspects of computer implementation of it, and a series of tests showing its advantage over normal multiple regression methods are given.

Willis, H.L.; Powell, R.W.

1984-05-01T23:59:59.000Z

394

On Aggregation of Linear Dynamic Models  

E-Print Network (OSTI)

;' #7; [ #26;' #25; #30; | #12; qc#26;#16; #25; | .Q 32 #7; [ #16;' #7; [ #26;' wu +#12; %c#16;#26; #12; qc#26;#16; , .Q 32 #7; [ #16;' #7; [ #26;' #30; #16;#26; > +7167, zkhuh #25; | @ H +{ #16;| m | ,/ #12; qc#16;#26; @ H #19; #15; #16; #15; #30...

Pesaran, M Hashem

2004-06-16T23:59:59.000Z

395

Optimal portfolios using Linear Programming models  

E-Print Network (OSTI)

Feb 12, 2003 ... three portfolios will then be compared with various utility functions and with out of sample data. ... interest rate, and not allowing short selling.

396

Linear Stability Models of Shelfbreak Fronts  

Science Conference Proceedings (OSTI)

The stability of inviscid frontally trapped waves along a shelfbreak is examined to determine whether frontal instabilities may contribute to the alongfront variability frequently observed. Three different basic states with increasingly complex ...

Glen Gawarkiewicz

1991-04-01T23:59:59.000Z

397

Linear Accelerator | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

electrons emitted from a cathode heated to 1100 C. The electrons are accelerated by high-voltage alternating electric fields in a linear accelerator (linac; photo below)....

398

First–Order Representations of Discrete Linear MultidimensionalSystems  

Science Conference Proceedings (OSTI)

The classical local state–space models for discrete multidimensional linear systems, as proposed by Roesser or Fornasini and Marchesini, require causality of the resulting transfer matrices. We consider a generalization comprising non-causal ... Keywords: (Laurent) polynomial matrices, behavior, first–, input–, kernel and image representation, linear fractional transformation, minimality, order representation, output structure, properness

Eva Zerz

2000-10-01T23:59:59.000Z

399

Computation of the constrained infinite time linear quadratic regulator  

Science Conference Proceedings (OSTI)

This paper presents an efficient algorithm for computing the solution to the constrained infinite-time, linear quadratic regulator (CLQR) problem for discrete time systems. The algorithm combines multi-parametric quadratic programming with reachability ... Keywords: Constrained infinite horizon control, Invariant Set, Linear quadratic regulator, Model predictive control

Pascal Grieder; Francesco Borrelli; Fabio Torrisi; Manfred Morari

2004-04-01T23:59:59.000Z

400

Optimal control for linear-rate multi-mode systems  

Science Conference Proceedings (OSTI)

Linear-Rate Multi-Mode Systems is a model that can be seen both as a subclass of switched linear systems with imposed global safety constraints and as hybrid automata with no guards on transitions. We study the existence and design of a controller for ...

Dominik Wojtczak

2013-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Semiparametric Additive Transformation Model under Current Status Data  

E-Print Network (OSTI)

We consider the efficient estimation of the semiparametric additive transformation model with current status data. A wide range of survival models and econometric models can be incorporated into this general transformation framework. We apply the B-spline approach to simultaneously estimate the linear regression vector, the nondecreasing transformation function, and a set of nonparametric regression functions. We show that the parametric estimate is semiparametric efficient in the presence of multiple nonparametric nuisance functions. An explicit consistent B-spline estimate of the asymptotic variance is also provided. All nonparametric estimates are smooth, and shown to be uniformly consistent and have faster than cubic rate of convergence. Interestingly, we observe the convergence rate interfere phenomenon, i.e., the convergence rates of B-spline estimators are all slowed down to equal the slowest one. The constrained optimization is not required in our implementation. Numerical results are used to illustra...

Cheng, Guang

2011-01-01T23:59:59.000Z

402

Linear conductance through parallel coupled quantum dots  

Science Conference Proceedings (OSTI)

We study the electronic transport through two parallel coupled quantum dots (QDs), employing the X-boson treatment for the single impurity Anderson model. We compute the linear conductance (LC) and transmission coefficient for different regimes of the ... Keywords: 71.10.Ay, 71.27.+a, 73.21.La, 73.23.-b, Fano resonance, Kondo effect, Quantum dot, Transport, X-boson

R. Franco; J. Silva-Valencia; M. S. Figueira

2008-03-01T23:59:59.000Z

403

Non-linear Seismic Soil Structure Interaction Method for Developing Nonlinear Seismic SSI  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Linear Seismic Soil Structure Interaction (SSI) Linear Seismic Soil Structure Interaction (SSI) Method for Developing Non-Linear Seismic SSI Analysis Techniques Justin Coleman, P.E. October 25th, 2011 E102003020BDS Presentation Outline  Purpose of Presentation  Linear versus Non-Linear Seismic SSI  Non-Linear seismic Soil Structure Interaction (NLSSI) Studies  The NLSSI Introduction  Non-Linearity in Seismic SSI Analysis  Commercial Software Elements  Commercial Software Non-Linear Constitutive Models  Non-Linear Seismic SSI Damping  Demonstration of Time Domain 2D Model  NLSSI Validation Approach  NLSSI Implementation  Need For NLSSI  Conclusions E102003020BDS Purpose of Presentation  The purpose of the presentation is to establish the need for using non-linear analysis

404

Topics in ordinal logistic regression and its applications  

E-Print Network (OSTI)

Sample size calculation methods for ordinal logistic regression are proposed to test statistical hypotheses. The author was motivated to do this work by the need for statistical analysis of the red imported ?re ants data. The proposed methods use the concept of approximation by the moment-generating function. Some correction methods are also suggested. When a prior data set is available, an empirical method is explored. Application of the proposed methodology to the ?re ant mating ?ight data is demonstrated. The proposed sample size and power calculation methods are applied in the hypothesis testing problems. Simulation studies are also conducted to illustrate their performance and to compare them with existing methods.

Kim, Hyun Sun

2004-08-01T23:59:59.000Z

405

Exploring nonlinear regression methods, with application to association studies  

E-Print Network (OSTI)

Glossary of Symbols Below is an outline of the notation I use throughout this thesis. Data Variables n - number of samples, indexed by the variable i. N - number of predictors, indexed by the variable g. X - predictor matrix (size n×N). Y - response vector... can also be applied to non-tertiary predictors, carries out MCMC sampling with the addition of Sampling Stage Four. iv Contents Summary i Glossary of Symbols ii List of Abbreviations iii Algorithm Schematic iv 1 Introduction 1 1.1 Regression Notation...

Speed, Douglas Christopher

2011-07-12T23:59:59.000Z

406

Structural Determinism of Linear Baroclinic Waves and Simple Nonlinear Equilibration  

Science Conference Proceedings (OSTI)

The linear evolution of arbitrarily specified perturbations in a zonally homogeneous, two-layer model is analyzed in a dynamical system which describes the disturbances in terms of the phase difference and amplitude ratio between the temperature ...

Brian Reinhold

1986-07-01T23:59:59.000Z

407

An Analysis of West African Dynamics Using a Linearized GCM  

Science Conference Proceedings (OSTI)

This study utilizes a linear, primitive equation spherical model to study the development and propagation of easterly wave disturbances over West Africa. Perturbations are started from an initial disturbance consisting of a barotropic vortex and ...

S. E. Nicholson; A. I. Barcilon; M. Challa

2008-04-01T23:59:59.000Z

408

The Linear Response of a Stratified Global Atmosphere to Tropical Thermal Forcing  

Science Conference Proceedings (OSTI)

The linear response of model normal modes in a stratified atmosphere to tropical thermal forcing is investigated by using global primitive equations which are linearized with respect to a resting state and include a prescribed thermal forcing and ...

Akira Kasahara

1984-07-01T23:59:59.000Z

409

Adaptive friction compensation for permanent magnet linear synchronous motor  

Science Conference Proceedings (OSTI)

The paper discussed an adaptive friction compensation scheme based on Coulomb friction and a parameter identifier. The model reference adaptive system based on Coulomb friction was designed to compensate the friction on-line. The designed model reference ... Keywords: friction compensation, model reference adaptive control, parameter identification, permanent magnet linear synchronous motor (PMLSM)

Wang Li-Mei; Wu Lin

2009-06-01T23:59:59.000Z

410

Recent Progress in Nonlinear and Linear Solvers  

SciTech Connect

We discuss two approaches for tackling algebraic systems, one is based on block preconditioning and the other is based on multifrontal and hierarchical matrix methods. First we consider a new preconditioner framework for supporting implicit time integration within an atmospheric climate model. We give an overview of the computational infrastructure used in atmospheric climate studies, address specific challenges of weak-scalability of numerical methods used in these codes, outline a strategy for addressing these challenges, and provide details about the software infrastructure being developed to implement these ideas. In the second part, we present our recent results of employing hierarchically semiseparable low-rank structure in a multifrontal factorization framework. This leads to superfast linear solvers for elliptic PDEs and effective preconditioners for a wider class of sparse linear systems.

Lott, P Aaron [Lawrence Livermore National Laboratory (LLNL); Elman, Howard [University of Maryland; Evans, Katherine J [ORNL; Li, X S [Lawrence Berkeley National Laboratory (LBNL); Salinger, Andy [Sandia National Laboratories (SNL); Woodward, Carol [Lawrence Livermore National Laboratory (LLNL)

2011-01-01T23:59:59.000Z

411

A Degeneracy in Cross-Validated Skill in Regression-based Forecasts  

Science Conference Proceedings (OSTI)

Highly negative skill scores may occur in regression-based experimental forecast trials in which the data being forecast are withheld in turn from a fixed sample, and the remaining data are used to develop regression relationships-that is, ...

Anthony G. Barnston; Huug M. van den Dool

1993-05-01T23:59:59.000Z

412

Calibrated Short-Range Ensemble Precipitation Forecasts Using Extended Logistic Regression with Interaction Terms  

Science Conference Proceedings (OSTI)

Extended logistic regression has been shown to be a method well suited to calibrating precipitation forecasts from medium-range ensemble prediction systems. The extension of the logistic regression unifies the separate predictive equations for ...

Zied Ben Bouallègue

2013-04-01T23:59:59.000Z

413

Development of a Novel Linear Magnetostrictive Actuator  

E-Print Network (OSTI)

This dissertation presents the development of a novel linear magnetostrictive actuator. The magnetostrictive material used here is Terfenol-D, an alloy of the formula Tb0.3Dy0.7Fe1.92. In response to a traveling magnetic field inside the Terfenol-D element, it moves in the opposite direction with a peristaltic motion. The proposed design offers the flexibility to operate the actuator in various configurations including local and conventional three-phase excitation. The conceptual design of the linear magnetostrictive actuator was performed during which different configurations were analyzed. Finite Element Analysis (FEA) was extensively used for magnetic circuit design and analysis in conceptual design. Eventually one of these designs was chosen based on which detailed design of linear magnetostrictive actuator was carried out. A new force transmission assembly incorporates spring washers to avoid the wear due to the sudden collision of Terfenol-D element with the force transmission assembly. All mechanical parts were then fabricated at the mechanical engineering machine shop. The power electronics to operate the motor in a local three-phase mode was designed and implemented. It was demonstrated that the power consumption can be reduced significantly by operating the magnetostrictive linear actuator in the local excitation mode. A finite-element model of the actuator was developed using ATILA and an empirical model was presented using the data gathered from numerous tests performed on the actuator. The closed-loop control system was implemented using relay control which resulted in an optimal closed-loop performance. The magnetostrictive actuator has demonstrated 410-N load capacity with a travel range of 45 mm, and the maximum speed is 9 mm/min. The maximum power consumption by the motor is 95 W. The sensorless control of the linear magnetostrictive actuator was successfully conducted using two different approaches. First, using a linear-approximation method, we achieved a position estimation capability with ±1 mm error. Then, an adaptive neuro-fuzzy inference system was employed for estimating the position which resulted in a position estimation capability with only a ±0.5 mm error.

Sadighi, Ali

2010-08-01T23:59:59.000Z

414

Constructions of fault tolerant linear compressors and linear decompressors  

E-Print Network (OSTI)

Abstract — The constructions of optical buffers is one of the most critically sought after optical technologies in all-optical packet-switched networks, and constructing optical buffers directly via optical Switches and fiber Delay Lines (SDL) has received a lot of attention recently in the literature. A practical and challenging issue of the constructions of optical buffers that has not been addressed before is on the fault tolerant capability of such constructions. In this paper, we focus on the constructions of fault tolerant linear compressors and linear decompressors. The basic network element for our constructions is scaled optical memory cell, which is constructed by a 2 × 2 optical crossbar switch and a fiber delay line. We give a multistage construction of a self-routing linear compressor by a concatenation of scaled optical memory cells. We also show that if the delays, say d1, d2,..., dM, of the fibers in the scaled optical memory cells satisfy a certain condition (specifically, the condition in (A2) given in Section I), then our multistage construction can be operated as a self-routing linear compressor with maximum delay ? M?F even after up to F of the M scaled optical memory cells fail to function properly, where 0 ? F ? M ? 1. Furthermore, we prove that our multistage construction with the fiber delays d1, d2,..., dM given by the generalized Fibonacci series of order F is the best among all constructions of a linear compressor that can tolerate up to F faulty scaled optical memory cells by using M scaled optical memory cells. Similarly results are also obtained for the constructions of fault tolerant linear decompressors. I.

Cheng-shang Chang; Tsz-hsuan Chao; Jay Cheng; Duan-shin Lee

2007-01-01T23:59:59.000Z

415

SunShot Initiative: Linear Fresnel  

NLE Websites -- All DOE Office Websites (Extended Search)

Linear Fresnel to someone by Linear Fresnel to someone by E-mail Share SunShot Initiative: Linear Fresnel on Facebook Tweet about SunShot Initiative: Linear Fresnel on Twitter Bookmark SunShot Initiative: Linear Fresnel on Google Bookmark SunShot Initiative: Linear Fresnel on Delicious Rank SunShot Initiative: Linear Fresnel on Digg Find More places to share SunShot Initiative: Linear Fresnel on AddThis.com... Concentrating Solar Power Systems Parabolic Trough Linear Fresnel Power Tower Dish Engine Components Competitive Awards Staff Photovoltaics Systems Integration Balance of Systems Linear Fresnel DOE funds solar research and development (R&D) in linear Fresnel systems as one of four CSP technologies aiming to meet the goals of the SunShot Initiative. Linear Fresnel systems, which are a type of linear

416

Non-linear image processing  

SciTech Connect

Processing of nuclear medicine images is generally performed by essentially linear methods with the non-negativity condition being applied as the only non-linear process. The various methods used: matrix methods in signal space and Fourier or Hadamard transforms in frequency or sequency space are essentially equivalent. Further improvement in images can be obtained by the use of inherently non-linear methods. The recent development of an approximation to a least-difference method (as opposed to a least-square method) has led to an appreciation of the effects of data bounding and to the development of a more powerful process. Data bounding (modification of statistically improbable data values) is an inherently non-linear method with considerable promise. Strong bounding depending on two-dimensional least-squares fitting yields a reduction of mottling (buttermilk effect) not attainable with linear processes. A pre- bounding process removing very bad points is used to protect the strong bounding process from incorrectly modifying data points due to the weight of an extreme but yet unbounded point as the fitting area approaches it. (auth)

Bell, P.R.; Dillon, R.S.; Bell, M.R.

1976-01-01T23:59:59.000Z

417

On Test Suite Composition and Cost-Effective Regression Testing. Gregg Rothermel  

E-Print Network (OSTI)

On Test Suite Composition and Cost-Effective Regression Testing. Gregg Rothermel , Sebastian Elbaum}@cse.unl.edu August 30, 2003 Abstract Regression testing is an expensive testing process used to re-validate software as it evolves. Various methodologies for improving regression testing processes have been explored, but the cost

Rothermel, Gregg

418

On Test Suite Composition and Cost-Effective Regression Testing Gregg Rothermel  

E-Print Network (OSTI)

On Test Suite Composition and Cost-Effective Regression Testing Gregg Rothermel , Sebastian Elbaum}@cse.unl.edu August 31, 2004 Abstract Regression testing is an expensive testing process used to re-validate software as it evolves. Various methodologies for improving regression testing processes have been explored, but the cost

Rothermel, Gregg

419

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification  

Science Conference Proceedings (OSTI)

We consider a fully complex-valued radial basis function (RBF) network for regression and classification applications. For regression problems, the locally regularised orthogonal least squares (LROLS) algorithm aided with the D-optimality experimental ... Keywords: Classification, Complex-valued radial basis function network, D-optimality experimental design, Fisher ratio of class separability measure, Orthogonal least squares algorithm, Regression

S. Chen; X. Hong; C. J. Harris; L. Hanzo

2008-10-01T23:59:59.000Z

420

Zonal Momentum Budget of the Madden–Julian Oscillation: The Source and Strength of Equivalent Linear Damping  

Science Conference Proceedings (OSTI)

Linear, dissipative models with resting base states are sometimes used in theoretical studies of the Madden–Julian oscillation (MJO). Linear mechanical damping in such models ranges from nonexistent to strong, since an observational basis for its ...

Jia-Lin Lin; Minghua Zhang; Brian Mapes

2005-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Regression analysis of residential air-conditioning energy consumption at Dhahran, Saudi Arabia  

Science Conference Proceedings (OSTI)

The energy consumption of a house air conditioner located at Dhahran, Saudi Arabia, is modeled as a function of weather parameters and total (global) solar radiation on a horizontal surface. The selection of effective parameters that significantly influence energy consumption is carried out using general stepping regression methods. The problem of collinearity between the regressors is also investigated. The final model involves parameters of total solar radiation on a horizontal surface, wind speed, and temperature difference between the indoor and outdoor condition. However, the model coefficients are functions of relative humidity and/or temperature difference between the indoor and outdoor condition. Model adequacy is examined by the residual analysis technique. Model validation is carried out by the data-splitting technique. The sensitivity of the model indicates that relative humidity and temperature difference strongly influence the cooling energy consumption. It was found that an increase in relative humidity from 20% to 100% can cause a 100% increase in cooling energy consumption during the high cooling season.

Abdel-Nabi, D.Y.; Zubair, S.M.; Abdelrahman, M.A.; Bahel, V. (Energy Systems Group, Div. of Energy Resources, Research Inst., King Fahd Univ. of Petroleum and Minerals, Dhahran (SA))

1990-01-01T23:59:59.000Z

422

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

6, 27/05/99 6, 27/05/99 Tolerances of Random RF Jitters in X-Band Main Linacs May 27, 1999 Kiyoshi KUBO KEK Tsukuba, Japan Abstract: Tracking simulations have been performed for the main linacs of an X-band linear collider. We discuss the choice of phase of the accelerating field relative to the bunches. The tolerances of the phase and the amplitude errors are studied. Tolerances of Random RF Jitters in X-Band Main Linacs K. Kubo, KEK Abstract Tracking simulations have been performed for main linacs of X-band linear collider. We discuss about choice of the phase of the accelerating field relative to the bunches. The tolerances of the phase and the amplitude errors are studied. 1 INTRODUCTION In order to preserve the low emittance through the main linacs of future linear colliders, various effects

423

LINEAR COUNT-RATE METER  

DOE Patents (OSTI)

A linear count-rate meter is designed to provide a highly linear output while receiving counting rates from one cycle per second to 100,000 cycles per second. Input pulses enter a linear discriminator and then are fed to a trigger circuit which produces positive pulses of uniform width and amplitude. The trigger circuit is connected to a one-shot multivibrator. The multivibrator output pulses have a selected width. Feedback means are provided for preventing transistor saturation in the multivibrator which improves the rise and decay times of the output pulses. The multivibrator is connected to a diode-switched, constant current metering circuit. A selected constant current is switched to an averaging circuit for each pulse received, and for a time determined by the received pulse width. The average output meter current is proportional to the product of the counting rate, the constant current, and the multivibrator output pulse width.

Henry, J.J.

1961-09-01T23:59:59.000Z

424

Nested local adiabatic evolution for quantum-neuron-based adaptive support vector regression and its forecasting applications  

Science Conference Proceedings (OSTI)

Instead of traditionally (globally) adiabatic evolution algorithm for unstructured search proposed by Farhi or Van Dam, the high efficiency search using nested local adiabatic evolution algorithm for structured search is herein introduced to the quantum-like ... Keywords: BPNN-weighted Grey-C3LSP model, Hopfield-neural-net, Nested local adiabatic evolution algorithm, Nonlinear autoregressive conditional heteroscedasticity, Structured adiabatic quantum search, Support vector regression

Bao Rong Chang; Hsiu Fen Tsai

2009-03-01T23:59:59.000Z

425

A polynomial projection algorithm for linear programming  

E-Print Network (OSTI)

Jul 5, 2013 ... Abstract: We propose a polynomial algorithm for linear programming. The algorithm represents a linear optimization or decision problem in the ...

426

Annual Planning Summaries: Stanford Linear Accelerator (SLAC...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Stanford Linear Accelerator (SLAC) Annual Planning Summaries: Stanford Linear Accelerator (SLAC) Document(s) Available For Download January 11, 2012 2012 Annual Planning Summary...

427

Linear Circuits Designation: Required course  

E-Print Network (OSTI)

circuits. Node and mesh analysis. Operational amplifiers. Signal acquisition and conditioning. Electric, 11k). Objective 4: To acquaint students with the rudiments of electrical-to-mechanical energy) Steady-state and dynamic behavior of linear, lumped-parameter electrical circuits. Kirchoff's laws. RLC

Krstic, Miroslav

428

Linear electric field mass spectrometry  

DOE Patents (OSTI)

A mass spectrometer and methods for mass spectrometry are described. The apparatus is compact and of low weight and has a low power requirement, making it suitable for use on a space satellite and as a portable detector for the presence of substances. High mass resolution measurements are made by timing ions moving through a gridless cylindrically symmetric linear electric field. 8 figs.

McComas, D.J.; Nordholt, J.E.

1992-12-01T23:59:59.000Z

429

Linear electric field mass spectrometry  

DOE Patents (OSTI)

A mass spectrometer and methods for mass spectrometry. The apparatus is compact and of low weight and has a low power requirement, making it suitable for use on a space satellite and as a portable detector for the presence of substances. High mass resolution measurements are made by timing ions moving through a gridless cylindrically symmetric linear electric field.

McComas, David J. (Los Alamos, NM); Nordholt, Jane E. (Los Alamos, NM)

1992-01-01T23:59:59.000Z

430

Linear electric field mass spectrometry  

DOE Patents (OSTI)

A mass spectrometer is described having a low weight and low power requirement, for use in space. It can be used to analyze the ionized particles in the region of the spacecraft on which it is mounted. High mass resolution measurements are made by timing ions moving through a gridless cylindrically sysmetric linear electric field.

McComas, D.J.; Nordholt, J.E.

1991-03-29T23:59:59.000Z

431

Experiments with Non-Normal-Mode Initialization of a Shallow-Water Limited-Area Model: Impact of Relaxation, Orography, and of an Extended Linearization Including Most of the ? Terms  

Science Conference Proceedings (OSTI)

A non-normal-mode initialization scheme, that is, an initialization scheme that does not require an explicit computation of the normal modes of the linearized equations, is considered. Such a scheme is applied to a shallow-water limited-area ...

Régis Juvanon Du Vachat

1992-09-01T23:59:59.000Z

432

On resampling and uncertainty estimation in Linear System Identification  

Science Conference Proceedings (OSTI)

Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single input-output data set. Here we investigate the utility of various methods for estimating the probability distribution of this nominal ... Keywords: Bootstrap, Model validation, Monte Carlo, Resampling, Subsampling, System identification

Simone Garatti; Robert R. Bitmead

2010-05-01T23:59:59.000Z

433

Mesoscale Lake-effect Snowstorms in the Vicinity of Lake Michigan: Linear Theory and Numerical Simulations  

Science Conference Proceedings (OSTI)

Mesoscale lake-effect snowstorms in the vicinity of Lake Michigan are studied by a linear steady-state analytic model and a nonlinear time-dependent numerical model with parameterized subgrid-scale physics. The solutions of the linear model show ...

Hsiao-ming Hsu

1987-04-01T23:59:59.000Z

434

Linear electron-hole-electron pair model of high-temperature superconductivity in La sub 2-x M sub x CuO sub 4 and YBa sub 2 Cu sub 3 O sub 7-y : 2, Dependence of the superconducting transition temperatures on pressure and on hole concentration  

Science Conference Proceedings (OSTI)

On the basis of the linear electron-hole-electron (e-h-e) pair model, we discuss how the number of holes (i.e., formal Cu{sup 3+} sites), and an applied pressure, affect the superconducting transition temperatures {Tc} of La{sub 2-x}M{sub x}CuO{sub 4} and LBa{sub 2}Cu{sub 3}O{sub 7-y}(L = Y, Sm, Eu, Gd, Dy, Ho, Yb). We also examine the origin of the plateaus in the {Tc} vs oxygen content pilot of YBa{sub 2}Cu{sub 3}O{sub 7-y} within the framework of the linear e-h-e pair model. 17 refs.

Whangbo, Myung-Hwan; Evain, M.; Canadell, E.; Williams, J.M. (North Carolina State Univ., Raleigh, NC (USA). Dept. of Chemistry; Paris-11 Univ., 91 - Orsay (France). Lab. de Chimie Theorique; Argonne National Lab., IL (USA))

1989-01-01T23:59:59.000Z

435

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

Notes Notes LCC - 0018, 15/06/99 Rev B, June 2002 Correct Account of RF Deflections in Linac Acceleration June 15, 1999 G.V. Stupakov Stanford Linear Accelerator Center Stanford, California Abstract: During acceleration in the linac structure, the beam not only increases its longitudinal momentum, but also experiences a transverse kick from the accelerating mode which is linear in accelerating gradient. This effect is neglected in such computer codes as LIAR and TRANSPORT. We derived the Hamiltonian equations that describe the effect of RF deflection into the acceleration process and included it into the computational engine of LIAR. By comparing orbits for the NLC main linac, we found that the difference between the two algorithms is about 10\%. The effect will be more pronounced at smaller

436

Frequency scaling of linear super-colliders  

SciTech Connect

The development of electron-positron linear colliders in the TeV energy range will be facilitated by the development of high-power rf sources at frequencies above 2856 MHz. Present S-band technology, represented by the SLC, would require a length in excess of 50 km per linac to accelerate particles to energies above 1 TeV. By raising the rf driving frequency, the rf breakdown limit is increased, thereby allowing the length of the accelerators to be reduced. Currently available rf power sources set the realizable gradient limit in an rf linac at frequencies above S-band. This paper presents a model for the frequency scaling of linear colliders, with luminosity scaled in proportion to the square of the center-of-mass energy. Since wakefield effects are the dominant deleterious effect, a separate single-bunch simulation model is described which calculates the evolution of the beam bunch with specified wakefields, including the effects of using programmed phase positioning and Landau damping. The results presented here have been obtained for a SLAC structure, scaled in proportion to wavelength.

Mondelli, A.; Chernin, D.; Drobot, A.; Reiser, M.; Granatstein, V.

1986-06-01T23:59:59.000Z

437

Segmented rail linear induction motor  

DOE Patents (OSTI)

A segmented rail linear induction motor has a segmented rail consisting of a plurality of nonferrous electrically conductive segments aligned along a guideway. The motor further includes a carriage including at least one pair of opposed coils fastened to the carriage for moving the carriage. A power source applies an electric current to the coils to induce currents in the conductive surfaces to repel the coils from adjacent edges of the conductive surfaces. 6 figs.

Cowan, M. Jr.; Marder, B.M.

1996-09-03T23:59:59.000Z

438

Precision linear ramp function generator  

DOE Patents (OSTI)

A ramp function generator is provided which produces a precise linear ramp function which is repeatable and highly stable. A derivative feedback loop is used to stabilize the output of an integrator in the forward loop and control the ramp rate. The ramp may be started from a selected baseline voltage level and the desired ramp rate is selected by applying an appropriate constant voltage to the input of the integrator.

Jatko, W.B.; McNeilly, D.R.; Thacker, L.H.

1984-08-01T23:59:59.000Z

439

Cast dielectric composite linear accelerator  

DOE Patents (OSTI)

A linear accelerator having cast dielectric composite layers integrally formed with conductor electrodes in a solventless fabrication process, with the cast dielectric composite preferably having a nanoparticle filler in an organic polymer such as a thermosetting resin. By incorporating this cast dielectric composite the dielectric constant of critical insulating layers of the transmission lines of the accelerator are increased while simultaneously maintaining high dielectric strengths for the accelerator.

Sanders, David M. (Livermore, CA); Sampayan, Stephen (Manteca, CA); Slenes, Kirk (Albuquerque, NM); Stoller, H. M. (Albuquerque, NM)

2009-11-10T23:59:59.000Z

440

Segmented rail linear induction motor  

DOE Patents (OSTI)

A segmented rail linear induction motor has a segmented rail consisting of a plurality of nonferrous electrically conductive segments aligned along a guideway. The motor further includes a carriage including at least one pair of opposed coils fastened to the carriage for moving the carriage. A power source applies an electric current to the coils to induce currents in the conductive surfaces to repel the coils from adjacent edges of the conductive surfaces.

Cowan, Jr., Maynard (1107 Stagecoach Rd. SE., Albuquerque, NM 87123); Marder, Barry M. (1412 Pinnacle View Dr. NE., Albuquerque, NM 87123)

1996-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Literature Review of Uncertainty of Analysis Methods (Inverse Model Toolkit), Report to the Texas Commission on Environmental Quality  

E-Print Network (OSTI)

This report reviews the reported uncertainty of ASHRAE’s Inverse Model Toolkit (IMT) analysis method and the linear, and change-point linear algorithms that it uses by reviewing the published literature on the related accuracy of IMT and its algorithms versus other well-accepted statistical analysis tools, such as SAS. This report begins with a review of the history of the IMT, and the linear and change-point linear models. Then it reviews the published comparisons of the IMT and other analysis software, relying heavily on the accuracy testing that was performed as part of ASHRAE’s Research Project 1050-RP. It also includes a detailed description of the basic algorithms and an example of the IMT weather-normalization analysis. In summary, from the literature it was found that the algorithms in the IMT almost exactly reproduce the same regression analysis one would get by running any one of the programs that it was compared against (i.e., usually to several significant digits). Therefore, it can be concluded that the IMT is accurate, when it is called upon to perform weather normalized regressions for modeling building energy use.

Haberl, J. S.; Cho, S.

2004-01-01T23:59:59.000Z

442

Modeling Avena fatua seedling emergence dynamics: An artificial neural network approach  

Science Conference Proceedings (OSTI)

Avena fatua is an invasive weed of the semiarid region of Argentina. Seedling emergence patterns are very irregular along the season showing a great year-to-year variability mainly due to a highly unpredictable precipitation regime. Non-linear regression ... Keywords: Emergence prediction, Hydrothermal-time, Non-linear regression, Semiarid region, Wild oat

Guillermo R. Chantre; AníBal M. Blanco; Mariela V. Lodovichi; Alberto J. Bandoni; Mario R. Sabbatini; Ricardo L. LóPez; Mario R. Vigna; RamóN GigóN

2012-10-01T23:59:59.000Z

443

Does Marginal Price Matter? A Regression Discontinuity Approach to Estimating Water Demand  

E-Print Network (OSTI)

Does Marginal Price Matter? A Regression DiscontinuityCCF discontinuity, though, does not correspond to any waterin the RD analysis. A consumer does not know her exact water

Nataraj, Shanthi; Hanemann, W. Michael

2008-01-01T23:59:59.000Z

444

Nonferromagnetic linear variable differential transformer  

DOE Patents (OSTI)

A nonferromagnetic linear variable differential transformer for accurately measuring mechanical displacements in the presence of high magnetic fields is provided. The device utilizes a movable primary coil inside a fixed secondary coil that consists of two series-opposed windings. Operation is such that the secondary output voltage is maintained in phase (depending on polarity) with the primary voltage. The transducer is well-suited to long cable runs and is useful for measuring small displacements in the presence of high or alternating magnetic fields.

Ellis, James F. (Powell, TN); Walstrom, Peter L. (Oak Ridge, TN)

1977-06-14T23:59:59.000Z

445

Linearized gyro-kinetic equation  

SciTech Connect

An ordering of the linearized Fokker-Planck equation is performed in which gyroradius corrections are retained to lowest order and the radial dependence appropriate for sheared magnetic fields is treated without resorting to a WKB technique. This description is shown to be necessary to obtain the proper radial dependence when the product of the poloidal wavenumber and the gyroradius is large (k rho much greater than 1). A like particle collision operator valid for arbitrary k rho also has been derived. In addition, neoclassical, drift, finite $beta$ (plasma pressure/magnetic pressure), and unperturbed toroidal electric field modifications are treated. (auth)

Catto, P.J.; Tsang, K.T.

1976-01-01T23:59:59.000Z

446

Asymptotics for penalized additive B-spline regression  

E-Print Network (OSTI)

This paper is concerned with asymptotic theory for penalized spline estimator in bivariate additive model. The focus of this paper is put upon the penalized spline estimator obtained by the backfitting algorithm. The convergence of the algorithm as well as the uniqueness of its solution are shown. The asymptotic bias and variance of penalized spline estimator are derived by an efficient use of the asymptotic results for the penalized spline estimator in marginal univariate model. Asymptotic normality of estimator is also developed, by which an approximate confidence interval can be obtained. Some numerical experiments confirming theoretical results are provided.

Yoshida, T

2011-01-01T23:59:59.000Z

447

Bayesian nonlinear regression for large p small n problems  

Science Conference Proceedings (OSTI)

Statistical modeling and inference problems with sample sizes substantially smaller than the number of available covariates are challenging. This is known as large p small n problem. Furthermore, the problem is more complicated when we have multiple ... Keywords: 62F15, 62G08, 62H99, 62J02, 62M20, Bayesian hierarchical model, Empirical Bayes, Gibbs sampling, Markov chain Monte Carlo, Metropolis-Hastings algorithm, Near infrared spectroscopy, Relevance vector machine, Reproducing kernel Hilbert space, Support vector machine, Vapnik's ?-insensitive loss

Sounak Chakraborty; Malay Ghosh; Bani K. Mallick

2012-07-01T23:59:59.000Z

448

The Next Linear Collider Program  

NLE Websites -- All DOE Office Websites (Extended Search)

To use the left side navigation on this page, you will need to turn on To use the left side navigation on this page, you will need to turn on Javascript. You do not need JavaScript to use the text-based navigation bar at the bottom of the page. The Next Linear Collider at SLAC Navbar MISSION: Scientists expect research at this facility to answer fundamental questions about the behavior of matter and the origins of the Universe. NLC 8-Pack on the Drawing Board What's New In the Next Linear Collider: • NLC Newsletter October, 2001 • NLC Snowmass report 2001 • NLC All Hands Talk, August 2001 Upcoming Events: • Fall 2001 Working Sessions, Oct. 22-23, 2001 • Pulse Compression Workshop, Oct. 22-24, 2001 • Machine Advisory Committee Mtg., Oct. 24-26, 2001 • ISG-7 at KEK, Nov. 12-15, 2001 • LC' 02 at SLAC, Feb. 4-8, 2002 NLC Website Search: Entire SLAC Web | Help |

449

Algorithm for very fast computation of least absolute value regression  

Science Conference Proceedings (OSTI)

The Least Squares (LS) problem has been popular in industrial modeling applications due to its speed, efficiency and simplicity. However, the LS solution is known to be unreliable when the data distribution is not Gaussian and is flat-tailed and such ...

Amin Nobakhti; Hong Wang; Tianyou Chai

2009-06-01T23:59:59.000Z

450

A SAS-macro for estimation of the cumulative incidence using Poisson regression  

Science Conference Proceedings (OSTI)

In survival analyses, we often estimate the hazard rate of a specific cause. Sometimes the main focus is not the hazard rates but the cumulative incidences, i.e., the probability of having failed from a specific cause prior to a given time. The cumulative ... Keywords: Competing risks, Cox regression, Cumulative incidence, Hazard rate, Poisson regression, Survival analysis

Berit Lindum Waltoft

2009-02-01T23:59:59.000Z

451

Recursive support vector censored regression for monitoring product quality based on degradation profiles  

Science Conference Proceedings (OSTI)

The time-consuming evaluation of a product's lifetime or quality often prevents manufacturers from meeting market requirements within the time allotted for product development. Degradation profiles obtained from harsh testing environments have been widely ... Keywords: Accelerated test, Cycle-life evaluation, Degradation profile, Genetic algorithm, Machine learning and data mining, Nonlinear censored regression, Recursive support vector censored regression, Secondary rechargeable battery

Jong In Park; Myong K. Jeong

2011-08-01T23:59:59.000Z

452

A simulation-and-regression approach for stochastic dynamic programs with endogenous state variables  

Science Conference Proceedings (OSTI)

We investigate the optimum control of a stochastic system, in the presence of both exogenous (control-independent) stochastic state variables and endogenous (control-dependent) state variables. Our solution approach relies on simulations and regressions ... Keywords: Approximate dynamic programming, Hydropower management, Least-squares Monte Carlo, Simulation and regression, Stochastic control

Michel Denault, Jean-Guy Simonato, Lars Stentoft

2013-11-01T23:59:59.000Z

453

Linear Concentrator Systems for Concentrating Solar Power  

Energy.gov (U.S. Department of Energy (DOE))

Linear concentrating solar power (CSP) collectors capture the sun's energy with large mirrors that reflect and focus the sunlight onto a linear receiver tube. The receiver contains a fluid that is...

454

Proof Synthesis and Reflection for Linear Arithmetic  

Science Conference Proceedings (OSTI)

This article presents detailed implementations of quantifier elimination for both integer and real linear arithmetic for theorem provers. The underlying algorithms are those by Cooper (for Z) and by Ferrante and Rackoff ... Keywords: Linear arithmetic, Proof synthesis, Reflection

Amine Chaieb; Tobias Nipkow

2008-07-01T23:59:59.000Z

455

New architecture for RF power amplifier linearization  

E-Print Network (OSTI)

Power amplifier linearization has become an important part of the transmitter system as 3G and developing 4G communication standards require higher linearity than ever before. The thesis proposes two power amplifier ...

Boo, Hyun H

2009-01-01T23:59:59.000Z

456

Linear Stability of Modons on a Sphere  

Science Conference Proceedings (OSTI)

The linear stability of two stationary dipolar modon solutions of the nondivergent barotropic vorticity equation on a rotating sphere is investigated. A numerical normal mode analysis of the linearized equation is performed by solving the ...

E. C. Neven

2001-08-01T23:59:59.000Z

457

A polynomial projection algorithm for linear programming  

E-Print Network (OSTI)

a linear optimization or decision problem in the form of a system of linear ... we understand the number of arithmetic and the other elementary operations ..... where M is a diagonal matrix whose entries on the main diagonal are non-

458

Temporal Accumulation of First-Order Linearization Error for Semi-Lagrangian Passive Advection  

Science Conference Proceedings (OSTI)

The tangent linear model (TLM) is obtained by linearizing the governing equations around a space- and time-dependent basic state referred to as the trajectory. The TLM describes to first-order the evolution of perturbations in a nonlinear model ...

Monique Tanguay; Saroja Polavarapu; Pierre Gauthier

1997-06-01T23:59:59.000Z

459

Linear Collider Collaboration Tech Notes LCC-0109  

NLE Websites -- All DOE Office Websites (Extended Search)

9 9 TESLA 2002-11 CBP Tech Note-269 November 2002 Alignment Stability Models for Damping Rings Andrej Wolski Lawrence Berkeley National Laboratory University of California Berkeley, CA Winfried Decking Deutsches Elektron Synchrotron (DESY) Hamburg, Germany Abstract: Linear collider damping rings are highly sensitive to magnet alignment. Emittance tuning simulations for current designs of damping rings for TESLA and NLC have given encouraging results, but depend on invasive measurements of dispersion. The frequency with which such measurements must be made is therefore an operational issue, and depends on the time stability of the alignment. In this note, we consider three effects that lead to misalignment and the need to retune the damping ring: (1)

460

Symmetry Breaking in Linearly Coupled Dynamical Lattices  

E-Print Network (OSTI)

We examine one- and two-dimensional (1D and 2D) models of linearly coupled lattices of the discrete-nonlinear-Schr{\\"{o}}dinger type. Analyzing ground states of the systems with equal powers in the two components, we find a symmetry-breaking phenomenon beyond a critical value of the squared $l^2$-norm. Asymmetric states, with unequal powers in their components, emerge through a subcritical pitchfork bifurcation, which, for very weakly coupled lattices, changes into a supercritical one. We identify the stability of various solution branches. Dynamical manifestations of the symmetry breaking are studied by simulating the evolution of the unstable branches. The results present the first example of spontaneous symmetry breaking in 2D lattice solitons. This feature has no counterpart in the continuum limit, because of the collapse instability in the latter case.

Herring, G; Malomed, B A; Carretero-González, R; Frantzeskakis, D J

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "linear regression model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Acceleration Modules in Linear Induction Accelerators  

E-Print Network (OSTI)

Linear Induction Accelerator (LIA) is a unique type of accelerator, which is capable to accelerate kiloAmpere charged particle current to tens of MeV energy. The present development of LIA in MHz busting mode and successful application into synchrotron broaden LIAs usage scope. Although transformer model is widely used to explain the acceleration mechanism of LIAs, it is not appropriate to consider the induction electric field as the field which accelerates charged particles for many modern LIAs. Authors examined the transition of the magnetic cores functions during LIA acceleration modules evolution, distinguished transformer type and transmission line type LIA acceleration modules, and reconsidered several related issues based on transmission line type LIA acceleration module. The clarified understanding should be helpful in the further development and design of the LIA acceleration modules.

Wang, Shaoheng

2013-01-01T23:59:59.000Z

462

Summary of Linear Elastic Fracture Mechanics Concepts  

Science Conference Proceedings (OSTI)

...in this Volume."Stress Intensity Factors"A brief summary of linear elastic fracture mechanics (LEFM) concepts

463

Energy Basics: Linear Concentrator Systems for Concentrating...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Photovoltaics Concentrating Solar Power Linear...

464

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

0 0 April 2001 Rev.1 July 2003 Guide to LIBXSIF, a Library for Parsing the Extended Standard Input Format of Accelerated Beamlines Peter G. Tenenbaum Stanford Linear Accelerator Center Stanford University Stanford, CA Abstract: We describe LIBXSIF, a standalone library for parsing the Extended Standard Input Format of accelerator beamlines. Included in the description are: documentation of user commands; full description of permitted accelerator elements and their attributes; the construction of beamline lists; the mechanics of adding LIBXSIF to an existing program; and "under the hood" details for users who wish to modify the library or are merely morbidly curious. Guide to LIBXSIF, a Library for Parsing the Extended Standard Input Format of

465

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

NLC Home Page NLC Technical SLAC The LCC Tech Note series was started in July 1998 to document the JLC/NLC collaborative design effort. The notes are numbered sequentially and may also be given a SLAC, FNAL, LBNL, LLNL and/or KEK publication number. The LCC notes will be distributed through the Web in electronic form as PDF files -- the authors are responsible for keeping the original documents. Other document series are the NLC Notes that were started for the SLAC ZDR, the KEK ATF Notes, and at some future time there should be a series of Technical (NLD) Notes to document work on detector studies for the next-generation linear collider. LCC-0001 "Memorandum of Understanding between KEK and SLAC," 2/98. LCC-0002 "Transparencies and Summaries from the 1st ISG meeting: January 1998," G. Loew, ed., 2/98.

466

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

5 08//00 5 08//00 Study of Beam Energy Spectrum Measurement in the NLC Extraction Line August 2000 Yuri Nosochkov and Tor Raubenheimer Stanford Linear Accelerator Center Stanford, CA Abstract: The NLC extraction line optics includes a secondary focal point with a very small _- function and 2 cm dispersion which can be used for measurement of outgoing beam energy spread. In this study, we performed tracking simulations to transport the NLC disrupted beam from the Interaction Point (IP) to the extraction line secondary focus (the IP image), `measure' the transverse beam pro_le at the IP image and reconstruct the beam energy spectrum. The resultant distribution was compared with the original energy spectrum at the IP. Study of Beam Energy Spectrum Measurement

467

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

2 03/12/99 2 03/12/99 PEP-II RF Cavity Revisited December 3, 1999 R. Rimmer, G. Koehler, D. Li, N. Hartmann, N. Folwell, J. Hodgson, B. McCandless Lawrence Berkeley National Laboratory Stanford Linear Accelerator Center Berkeley, CA, USA Stanford, CA, USA Abstract: This report describes the results of numerical simulations of the PEP-II RF cavity performed after the completion of the construction phase of the project and comparisons are made to previous calculations and measured results. These analyses were performed to evaluate new calculation techniques for the HOM distribution and RF surface heating that were not available at the time of the original design. These include the use of a high frequency electromagnetic element in ANSYS and the new Omega 3P code to study wall

468

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

4, 10/03/00 4, 10/03/00 Luminosity for NLC Design Variations March 10, 1999 K.A. Thompson and T.O. Raubenheimer Stanford Linear Accelerator Center Stanford, CA, USA Abstract: In this note we give Guineapig simulation results for the luminosity and luminosity spectrum of three baseline NLC designs at 0.5~TeV and 1.0~TeV and compare the simulation results with analytic approximations. We examine the effects of varying several design parameters away from the NLC-B-500 and NLC-B-1000 designs, in order to study possible trade-offs of parameters that could ease tolerances, increase luminosity, or help to optimize machine operation for specific physics processes. Luminosity for NLC Design Variations K.A. Thompson and T.O.Raubenheimer INTRODUCTION In this note we give Guineapig [l] simulation results for the luminosity and

469

Linear Collider Collaboration Tech Notes  

NLE Websites -- All DOE Office Websites (Extended Search)

Notes Notes LCC - 0038 29/04/00 CBP Tech Note - 234 Transverse Field Profile of the NLC Damping Rings Electromagnet Wiggler 29 April 2000 17 J. Corlett and S. Marks Lawrence Berkeley National Laboratory M. C. Ross Stanford Linear Accelerator Center Stanford, CA Abstract: The primary effort for damping ring wiggler studies has been to develop a credible radiation hard electromagnet wiggler conceptual design that meets NLC main electron and positron damping ring physics requirements [1]. Based upon an early assessment of requirements, a hybrid magnet similar to existing designs satisfies basic requirements. However, radiation damage is potentially a serious problem for the Nd-Fe-B permanent magnet material, and cost remains an issue for samarium cobalt magnets. Superconducting magnet designs have not been

470

Reticle stage based linear dosimeter  

DOE Patents (OSTI)

A detector to measure EUV intensity employs a linear array of photodiodes. The detector is particularly suited for photolithography systems that includes: (i) a ringfield camera; (ii) a source of radiation; (iii) a condenser for processing radiation from the source of radiation to produce a ringfield illumination field for illuminating a mask; (iv) a reticle that is positioned at the ringfield camera's object plane and from which a reticle image in the form of an intensity profile is reflected into the entrance pupil of the ringfield camera, wherein the reticle moves in a direction that is transverse to the length of the ringfield illumination field that illuminates the reticle; (v) detector for measuring the entire intensity along the length of the ringfield illumination field that is projected onto the reticle; and (vi) a wafer onto which the reticle imaged is projected from the ringfield camera.

Berger, Kurt W. (Livermore, CA)

2007-03-27T23:59:59.000Z

471

On the equivalence of linear complementarity problems  

Science Conference Proceedings (OSTI)

We show that the Extended Linear Complementarity Problem (ELCP) can be recast as a standard Linear Complementarity Problem (LCP) provided that the surplus variables or the feasible set of the ELCP are bounded. Since many extensions of the LCP are special ... Keywords: Complementarity problems, Integer programming, Linear complementarity problem, Nonlinear algorithms, Optimization

B. De Schutter; W. P. M. H. Heemels; A. Bemporad

2002-08-01T23:59:59.000Z

472

Tightening the Linear Relaxation of a Mixed Integer Nonlinear Program Using Constraint Programming  

Science Conference Proceedings (OSTI)

This paper aims at solving a nonconvex mixed integer nonlinear programming (MINLP) model used to solve a refinery crude-oil operations scheduling problem. The model is mostly linear but contains bilinear products of continuous variables in the objective ...

Sylvain Mouret; Ignacio E. Grossmann; Pierre Pestiaux

2009-05-01T23:59:59.000Z

473

The Steady Linear Response of a Spherical Atmosphere to Thermal and Orographic Forcing  

Science Conference Proceedings (OSTI)

Motivated by some results from barotropic models, a linearized steady-state five-layer baroclinic model is used to study the response of a spherical atmosphere to thermal and orographic forcing. At low levels the significant perturbations are ...

Brian J. Hoskins; David J. Karoly

1981-06-01T23:59:59.000Z

474

Gravity Waves in a Forest: A Linear Analysis  

Science Conference Proceedings (OSTI)

Wavelike oscillations are a common form of air motion in the forest canopy at night. This paper investigates the canopy wave phenomenon using a two-dimensional inviscid linear wave model taking into account the drag force exerted on the wave wind ...

Xuhui Lee

1997-11-01T23:59:59.000Z

475

A Linear Stability Analysis of Coupled Tropical Atlantic Variability  

Science Conference Proceedings (OSTI)

A linear stability analysis of an intermediate coupled ocean–atmosphere model reveals that the tropical Atlantic has two types of coupled modes: a meridional mode at the decadal time scale and a zonal mode at the interannual time scale. The ...

Faming Wang; Ping Chang

2008-06-01T23:59:59.000Z

476

Automatic stability checking for large linear analog integrated circuits  

Science Conference Proceedings (OSTI)

Stability analysis is one of the key challenges in the design of large linear analog circuits with complex multi-loop structures. In this paper, we present an efficient loop finder algorithm to identify potentially unstable loops in such circuits. At ... Keywords: analog circuit design, eigenvalue problem, model order reduction, small-signal analysis, stability analysis

Parijat Mukherjee; G. Peter Fang; Rod Burt; Peng Li

2011-06-01T23:59:59.000Z

477

Linear to Non-linear Rheology of Wheat Flour Dough  

E-Print Network (OSTI)

We provide an overview of transient extensional rheometry techniques for wheat flour doughs in which the deformation and material response is well defined. The behavior of a range of model doughs was

Ng, Trevor S.K.

2007-01-23T23:59:59.000Z

478

Governance of the International Linear Collider Project  

SciTech Connect

Governance models for the International Linear Collider Project are examined in the light of experience from similar international projects around the world. Recommendations for one path which could be followed to realize the ILC successfully are outlined. The International Linear Collider (ILC) is a unique endeavour in particle physics; fully international from the outset, it has no 'host laboratory' to provide infrastructure and support. The realization of this project therefore presents unique challenges, in scientific, technical and political arenas. This document outlines the main questions that need to be answered if the ILC is to become a reality. It describes the methodology used to harness the wisdom displayed and lessons learned from current and previous large international projects. From this basis, it suggests both general principles and outlines a specific model to realize the ILC. It recognizes that there is no unique model for such a laboratory and that there are often several solutions to a particular problem. Nevertheless it proposes concrete solutions that the authors believe are currently the best choices in order to stimulate discussion and catalyze proposals as to how to bring the ILC project to fruition. The ILC Laboratory would be set up by international treaty and be governed by a strong Council to whom a Director General and an associated Directorate would report. Council would empower the Director General to give strong management to the project. It would take its decisions in a timely manner, giving appropriate weight to the financial contributions of the member states. The ILC Laboratory would be set up for a fixed term, capable of extension by agreement of all the partners. The construction of the machine would be based on a Work Breakdown Structure and value engineering and would have a common cash fund sufficiently large to allow the management flexibility to optimize the project's construction. Appropriate contingency, clearly apportioned at both a national and global level, is essential if the project is to be realised. Finally, models for running costs and decommissioning at the conclusion of the ILC project are proposed. This document represents an interim report of the bodies and individuals studying these questions inside the structure set up and supervised by the International Committee for Future Accelerators (ICFA). It represents a request for comment to the international community in all relevant disciplines, scientific, technical and most importantly, political. Many areas require further study and some, in particular the site selection process, have not yet progressed sufficiently to be addressed in detail in this document. Discussion raised by this document will be vital in framing the final proposals due to be published in 2012 in the Technical Design Report being prepared by the Global Design Effort of the ILC.

Foster, B.; /Oxford U.; Barish, B.; /Caltech; Delahaye, J.P.; /CERN; Dosselli, U.; /INFN, Padua; Elsen, E.; /DESY; Harrison, M.; /Brookhaven; Mnich, J.; /DESY; Paterson, J.M.; /SLAC; Richard, F.; /Orsay, LAL; Stapnes, S.; /CERN; Suzuki, A.; /KEK, Tsukuba; Wormser, G.; /Orsay, LAL; Yamada, S.; /KEK, Tsukuba

2012-05-31T23:59:59.000Z

479

Linear and nonlinear interactions in the dark sector  

E-Print Network (OSTI)

We investigate models of interacting dark matter and dark energy for the universe in a spatially flat Friedmann-Robertson-Walker (FRW) space-time. We find the "source equation" for the total energy density and determine the energy density of each dark component. We introduce an effective one-fluid description to evidence that interacting and unified models are related with each other, analyze the effective model and obtain the attractor solutions. We study linear and nonlinear interactions, the former comprises a linear combination of the dark matter and dark energy densities, their first derivatives, the total energy density, its first and second derivatives and a function of the scale factor. The latter is a possible generalization of the linear interaction consisting of an aggregate of the above linear combination and a significant nonlinear term built with a rational function of the dark matter and dark energy densities homogeneous of degree one. We solve the evolution equations of the dark components for both interactions and examine exhaustively several examples. There exist cases where the effective one-fluid description produces different alternatives to the $\\La$CDM model and cases where the problem of coincidence is alleviated. In addition, we find that some nonlinear interactions yield an effective one-fluid model with a Chaplygin gas equation of state, whereas others generate cosmological models with de Sitter and power-law expansions. We show that a generic nonlinear interaction induces an effective equation of state which depends on the scale factor in the same way that the variable modified Chaplygin gas model, giving rise to the "relaxed Chaplygin gas model".

Luis P. Chimento

2009-11-30T23:59:59.000Z

480

BEAM-BASED NON-LINEAR OPTICS CORRECTIONS IN COLLIDERS.  

Science Conference Proceedings (OSTI)

A method has been developed to measure and correct operationally the non-linear effects of the final focusing magnets in colliders, that gives access to the effects of multi-pole errors by applying closed orbit bumps, and analyzing the resulting tune and orbit shifts. This technique has been tested and used during 4 years of RHIC (the Relativistic Heavy Ion Collider at BNL) operations. I will discuss here the theoretical basis of the method, the experimental set-up, the correction results, the present understanding of the machine model, the potential and limitations of the method itself as compared with other non-linear correction techniques.

PILAT, R.; LUO, Y.; MALITSKY, N.; PTITSYN, V.

2005-05-16T23:59:59.000Z

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481

LDRD final report : autotuning for scalable linear algebra.  

SciTech Connect

This report summarizes the progress made as part of a one year lab-directed research and development (LDRD) project to fund the research efforts of Bryan Marker at the University of Texas at Austin. The goal of the project was to develop new techniques for automatically tuning the performance of dense linear algebra kernels. These kernels often represent the majority of computational time in an application. The primary outcome from this work is a demonstration of the value of model driven engineering as an approach to accurately predict and study performance trade-offs for dense linear algebra computations.

Heroux, Michael Allen; Marker, Bryan (University of Texas at Austin, Austin, TX)

2011-09-01T23:59:59.000Z

482

Physics and technology of the Next Linear Collider  

E-Print Network (OSTI)

We present the current expectations for the design and physics program of an e+e- linear collider of center of mass energy 500 GeV -- 1 TeV. We review the experiments that would be carried out at this facility and demonstrate its key role in exploring physics beyond the Standard Model over the full range of theoretical possibilities. We then show the feasibility of constructing this machine, by reviewing the current status of linear collider technology and by presenting a precis of our `zeroth- order' design.

Kuhlman, S; Aiello, R; Akemoto, M; Alley, R; Assmann, R W; Baer, Howard W; Baltay, C; Bane, Karl Leopold Freitag; Barakat, B; Barker, A; Barklow, Timothy L; Barletta, W A; Bauer, D A; Bertolini, L R; Bharadwaj, V K; Bogart, J R; Bowden, G B; Bower, G; Brau, J E; Breidenbach, M; Brown, K L; Burke, D L; Burrows, P N; Byrd, J M; Cai, Y; Caryotakis, G; Cassel, R L; Chattopadhyay, S; Chen, P; Clark, S L; Cleaver, G B; Clem, D; Clendenin, J E; Corlett, J N; Corvin, C; Couture, G; Cuypers, F; Danielson, M; Deadrick, F J; Decker, Franz Josef; Donaldson, A R; Dragt, A J; Dubois, R; Early, R A; Ecklund, S D; Eichner, J; Einhorn, Martin B; Emma, P; Eppley, K R; Eriksson, L; Fahey, S; Farkas, Z D; Fawley, W M; Feng, J L; Fero, M J; Fisher, A S; Foundoulis, C; Fowkes, W R; Frey, R E; Frisch, J; Fuller, R W; Furman, M A; Genova, L F; Gintner, M; Giordano, G; Gluckstern, R L; Godfrey, S; Gold, S; Goluboff, M; Gross, G; Gunion, J F; Haber, Howard E; Han, T; Hanna, S; Hartman, S; Heifets, S A; Helm, R H; Hendrickson, L; Henestroza, E; Hertzbach, S S; Heusch, C A; Hewett, J L; Higashi, K; Higo, T; Hoag, H A; Hodgson, J; Hollebeek, R J; Holt, J A; Houck, T L; Humphrey, J W; Humphrey, R; Irwin, J; Jackson, A; Jacobsen, R A; Jaros, J A; Jobe, R Keith; Jones, R M; Kalyniak, P A; Kane, G L; Keller, L P; Kim, K J; Klem, D E; Ko, K; Koontz, R F; Kraft, E; Krejcik, P; Kroll, N M; Kubo, K; Kulikov, A; Lavine, T L; Li, H; Li, Z; Lidia, S M; Linebarger, W A; Loew, G A; Loewen, R J; Maeshima, K; Manly, S L; Marciano, W J; Markiewicz, T W; Maruyama, T; Mattison, T S; McDonald, K F; McKee, B; Messner, R; Meyerhofer, D D; Miller, R H; Minkowski, Peter; Minty, Michiko G; Moshammer, W; Munro, M H; Munroe, R; Murayama, H; Nantista, C D; Nauenberg, U; Nelson, E M; Nelson, H; Nelson, W R; Ng, C K; Nosochkov, Yu M; Ohgaki, T; Oide, K; Paige, Frank E; Palmer, D; Palmer, R B; Paterson, J M; Pearson, C; Perry, M; Peskin, Michael E; Phillips, R M; Phinney, N; Pope, R S; Raja, R; Raubenheimer, T O; Reginato, L; Rifkin, J; Riles, K; Rimmer, R A; Rinolfi, Louis; Rizzo, T; Robin, D; Rokni, S H; Ronan, Michael T; Rosenzweig, J; Ross, M C; Rowson, P C; Ruland, R E; Ruth, Ronald D; Saab, A; Sawyer, L; Schumm, B; Schwarz, H; Scott, B; Sessler, Andrew M; Sheppard, J C; Shoaee, H; Smith, S; Spence, W L; Spencer, C M; Spencer, J E; Sprehn, D; Strom, D; Stupakov, G; Takahashi, T; Tanaka, K; Tang, H; Tantawi, S G; Tata, Xerxes; Telnov, V I; Tenenbaum, P G; Thomas, S; Thompson, K A; Tian, F; Turner, J; Usher, T; Van Bibber, K; Van Kooten, R; Vanecek, D L; Vlieks, A E; Wagner, D L; Walz, D R; Wang, J W; Ward, B F L; Weidemann, A W; Westenskow, G A; White, T; Whittum, D H; Wilson, P B; Wilson, Z; Woodley, M; Woods, M; Wudka, J; Wurtele, J S; Xie, M; Yan, Y T; Yeremian, A D; Yokoya, K; Yu, S S; Zholents, A A; Zimmermann, Frank

1996-01-01T23:59:59.000Z

483

Weighted exponential regression for characterizing radionuclide concentrations in soil depth profiles  

Science Conference Proceedings (OSTI)

Characterization of radionuclide concentrations in soil profiles requires accurate evaluation of the depth distribution of the concentrations as measured by gamma emissions. An ongoing study based on 137Cs activity has shown that such concentration data generally follow an exponential trend when the fraction of radioactivity below depth is plotted against the depth. The slope of the exponential regression fit is defined as alpha/rho, the depth profile parameter. A weighted exponential regression procedure has been developed to compute a mean ??? for a group of related soil samples. Regression results from different areas or from different time periods can be used to compare representative radionuclide concentrations for the specified groupings.

C.P.Oertel; J.R.Giles

2009-11-01T23:59:59.000Z

484

A Vector Approach to Regression Analysis and Its Implications to Heavy-Duty Diesel Emissions  

DOE Green Energy (OSTI)

An alternative approach is presented for the regression of response data on predictor variables that are not logically or physically separable. The methodology is demonstrated by its application to a data set of heavy-duty diesel emissions. Because of the covariance of fuel properties, it is found advantageous to redefine the predictor variables as vectors, in which the original fuel properties are components, rather than as scalars each involving only a single fuel property. The fuel property vectors are defined in such a way that they are mathematically independent and statistically uncorrelated. Because the available data set does not allow definitive separation of vehicle and fuel effects, and because test fuels used in several of the studies may be unrealistically contrived to break the association of fuel variables, the data set is not considered adequate for development of a full-fledged emission model. Nevertheless, the data clearly show that only a few basic patterns of fuel-property variation affect emissions and that the number of these patterns is considerably less than the number of variables initially thought to be involved. These basic patterns, referred to as ''eigenfuels,'' may reflect blending practice in accordance with their relative weighting in specific circumstances. The methodology is believed to be widely applicable in a variety of contexts. It promises an end to the threat of collinearity and the frustration of attempting, often unrealistically, to separate variables that are inseparable.

McAdams, H.T.

2001-02-14T23:59:59.000Z

485

Regression-Guided Clustering: A Semisupervised Method for Circulation-to-Environment Synoptic Classification  

Science Conference Proceedings (OSTI)

Regression-guided clustering is introduced as a means of constructing circulation-to-environment synoptic climatological classifications. Rather than applying an unsupervised clustering algorithm to synoptic-scale atmospheric circulation data, one ...

Alex J. Cannon

2012-02-01T23:59:59.000Z

486

Consolidation of Multimodel Forecasts by Ridge Regression: Application to Pacific Sea Surface Temperature  

Science Conference Proceedings (OSTI)

The performance of ridge regression methods for consolidation of multiple seasonal ensemble prediction systems is analyzed. The methods are applied to predict SST in the tropical Pacific based on ensembles from the Development of a European ...

Malaquias Peña; Huug van den Dool

2008-12-01T23:59:59.000Z

487

Dual-Regression Retrieval Algorithm for Real-Time Processing of Satellite Ultraspectral Radiances  

Science Conference Proceedings (OSTI)

A fast physically based dual-regression (DR) method is developed to produce, in real time, accurate profile and surface- and cloud-property retrievals from satellite ultraspectral radiances observed for both clear- and cloudy-sky conditions. The ...

William L. Smith Sr.; Elisabeth Weisz; Stanislav V. Kireev; Daniel K. Zhou; Zhenglong Li; Eva E. Borbas

2012-08-01T23:59:59.000Z

488

Comparison of WPMM versus Regression for Evaluating Z–R Relationships  

Science Conference Proceedings (OSTI)

The accuracy of the estimation of Z–R relationships is evaluated for the Window Probability Matching Method (WPMM) and regression methods. The evaluation is based on experiments of random subsampling of disdrometer-obtained 1-min reflectivity Z ...

Daniel Rosenfeld; Eyal Amitai

1998-10-01T23:59:59.000Z

489

Modeling Ambient Carbon Monoxide Trends to Evaluate Mobile Source Emissions Reductions  

Science Conference Proceedings (OSTI)

Regression models have been used with poor success to detect the effect of emission control programs in ambient concentration measurements of carbon monoxide. An advanced CO regression model is developed whose form is based on an understanding of ...

Robin L. Dennis; Mary W. Downton

1987-10-01T23:59:59.000Z

490

Information content of the non-linear matter power spectrum  

E-Print Network (OSTI)

We use an ensemble of N-body simulations of the currently favoured (concordance) cosmological model to measure the amount of information contained in the non-linear matter power spectrum about the amplitude of the initial power spectrum. Two surprising results emerge from this study: (i) that there is very little independent information in the power spectrum in the translinear regime (k ~ 0.2-0.8 Mpc/h at the present day) over and above the information at linear scales and (ii) that the cumulative information begins to rise sharply again with increasing wavenumber in the non-linear regime. In the fully non-linear regime, the simulations are consistent with no loss of information during translinear and non-linear evolution. If this is indeed the case then the results suggest a picture in which translinear collapse is very rapid, and is followed by a bounce prior to virialization, impelling a wholesale revision of the HKLM-PD formalism.

C. D. Rimes; A. J. S. Hamilton

2005-02-03T23:59:59.000Z

491

Improved Linear Programming Decoding using Frustrated Cycles  

E-Print Network (OSTI)

We consider transmission over a binary-input additive white Gaussian noise channel using low-density parity-check codes. One of the most popular techniques for decoding low-density parity-check codes is the linear programming decoder. In general, the linear programming decoder is suboptimal. I.e., the word error rate is higher than the optimal, maximum a posteriori decoder. In this paper we present a systematic approach to enhance the linear program decoder. More precisely, in the cases where the linear program outputs a fractional solution, we give a simple algorithm to identify frustrated cycles which cause the output of the linear program to be fractional. Then adding these cycles, adaptively to the basic linear program, we show improved word error rate performance.

Kudekar, Shrinivas; Chertkov, Misha

2011-01-01T23:59:59.000Z

492

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

E-Print Network (OSTI)

ESCRIPTIVE S TATISTICS Maximum Demand (kW) Num. of Obs. Meanrate and customer’s maximum demand. C’ i, t : a constant, Arate and customer’s maximum demand. The load sensitivity to

Kiliccote, Sila

2010-01-01T23:59:59.000Z

493

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

E-Print Network (OSTI)

Demand Response Research Center, Lawrence Berkeley National Laboratory, One Cyclotron Road, MS: 90- 3111, Berkeley, CA 94720 USA.

Kiliccote, Sila

2010-01-01T23:59:59.000Z

494

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

E-Print Network (OSTI)

Methods for Customer and Demand Response Policies SelectionC. McParland,“Open Automated Demand Response Communicationset al, “Estimating Demand Response Load Impacts: Evaluation

Kiliccote, Sila

2010-01-01T23:59:59.000Z

495

Spatial Regression Models Using Inter-Region Distances in a Non-Random Context  

E-Print Network (OSTI)

located for many diseases like Lyme disease, thyroid goiterto rivers will increase the chance of Lyme disease.In a study about Lyme disease by Magnarelli et al. (1993)

Christou, Nicholas; Simon, Gary

2007-01-01T23:59:59.000Z

496

Spatial Regression Models Using Inter-Region Distances in a Non-Random Context  

E-Print Network (OSTI)

from epidemiology are Lyme disease, where the proximity towill increase the chance of lyme disease, thyroid goiterneighborhood. In a study about Lyme disease by Magnarelli et

Nicolas Christou; Gary Simon

2011-01-01T23:59:59.000Z

497

Spatial Regression Models Using Inter-Region Distances in a Non-Random Context  

E-Print Network (OSTI)

located for many diseases like Lyme disease, thyroid goiterto rivers will increase the chance of Lyme disease.In a study about Lyme disease by Magnarelli et al. (1993)

Nicolas Christou; Gary Simon

2011-01-01T23:59:59.000Z

498

Ma, Kockelman & Damien 1 A Multivariate Poisson-Lognormal Regression Model for Prediction  

E-Print Network (OSTI)

Analysis and Prevention, 18(1), pp.1-12. Hauer, E. (1997). Observational Before-After Studies in Road.V., Stewart, J.R., Huang, H.H., and Lagerwey, P.A. (2002). Safety Effects of Marked Vs. Unmarked Crosswalks.S. DOT. #12;Ma, Kockelman & Damien 18 List of Tables Table 1 Summary Statistics of Variables

Kockelman, Kara M.

499

Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity  

E-Print Network (OSTI)

' to 20') is predicted to result in 18% and 23% fewer fatal and disabling injury cases per 100 million VMT. (1986). On the estimation of the expected number of accidents. Accident Analysis and Prevention, 18, Federal Highway Administration. Zegeer, C.V., Stewart, J.R., Huang, H.H., and Lagerwey, P.A. (2002

Kockelman, Kara M.

500

New Methods for Solving Maximum Likelihood Estimating Equations of Logistic and Probit Regression Models  

E-Print Network (OSTI)

I II III IV V Criterion Truth Table 7.16: Median Value ofI II III IV V Criterion Truth Table 7.17: Statistics of ? ˆI II III IV V Criterion Truth Table 7.21: Median Value of

Wang, Haoyu

2011-01-01T23:59:59.000Z