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1

Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis  

E-Print Network [OSTI]

Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel ...

Preacher, K. J.; Curran, Patrick J.; Bauer, D. J.

2007-04-09T23:59:59.000Z

2

Inclusion of Building Envelope Thermal Lag Effects in Linear Regression Models of Daily Basis Building Energy Use Data  

E-Print Network [OSTI]

Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?for?simple?energy?performance?analysis ? 24?hour?cycle?variations?are?averaged?out?in?daily?data. ? The?dominant?driving?terms?of?most?buildings?follow?a?24?h?cycle.?(Rabl,?1992)? solar?irradiance,?OA?temperature,?ventilation,?occupancy?level,?lights?and?equipment?loads,? delayed?loads?due?to?thermal...

Masuda, H.; Claridge, D. E.

2012-01-01T23:59:59.000Z

3

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

4

E-Print Network 3.0 - adaptive regression modeling Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Computation (ABC) Michael Blum Olivier... regression model parameter, s summary statistic (here in one dimension) 12;Linear regression improves... ABC 12;Blum and OF (2009)...

5

Fitting Reduced Rank Regression Models by Alternating Maximum Likelihoods  

E-Print Network [OSTI]

Fitting longitudinal reduced rank regression models byA J . (1965). Reduced-rank regression for the multivariateFITTING LONGITUDINAL REDUCED RANK REGRESSION MODELS BY

Jan de Leeuw

2011-01-01T23:59:59.000Z

6

Time-varying Linear Regression with Total Variation Regularization  

E-Print Network [OSTI]

a sparse set of parameters describing the energy consumption of a refrigerator and enables us to predict in the time series. Our motivating example is the problem of modeling and predicting energy consumption learn- ing the parameters of multiple linear systems as well as the change points that describe when

Murphy, Robert F.

7

Censored regression modeling in agricultural economics  

E-Print Network [OSTI]

. 30 . 33 III. TESTING FOR MISSPECIFICATION IN A CENSORED DEMAND MODEL . . 36 Methodology. . Model Specification & Data Sources. Estimation Results. Concluding Comments . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 . . 41 42 IV.... CONCLUSIONS AND FUTURE RESEARCH. . . . ? Summary Limitation. . . Topics for Future Research. . . . 47 . . . 47 REFERENCES. . . . . . 49 APPENDIX: PROGRAM OF SPECIFICATION TEST FOR A CENSORED REGRESSION MODEL...

Khee-Guan Tan, Andrew

1991-01-01T23:59:59.000Z

8

Efficient inference in general semiparametric regression models  

E-Print Network [OSTI]

Conclusions ................. 33 II.5.3.1. Can Semiparametric Methods Improve Upon the Sample Mean? .......... 34 II.5.3.2. How Critical Are Our Assumptions on Z?35 III TESTING IN SEMIPARAMETRIC MODELS WITH IN- TERACTION ............................ 38 III.1... ........................................ 134 x LIST OF TABLES TABLE Page 1. Significance levels (p-values) of the test for genetic e?ects in a regression model in which Z is years since stopped smoking. ..... 68 2. Mean, empirical standard errors (emp s.e.), root mean squared error (RMSE...

Maity, Arnab

2009-05-15T23:59:59.000Z

9

PD Dr. Martin Stetter, Siemens AG 1 Das lineare Modell  

E-Print Network [OSTI]

PD Dr. Martin Stetter, Siemens AG 1 Das lineare Modell · Ausgangspunkt: Lineares Perceptron vorgegeben, werden nicht gelernt #12;PD Dr. Martin Stetter, Siemens AG 2 · Geschrieben als Regressionsmodell Regression: Lineares Modell #12;PD Dr. Martin Stetter, Siemens AG 3 · ML-Parameterschätzung des linearen

Popeea, Corneliu - Chair for Foundations of Software Reliability and Theoretical Computer Science

10

Linear Regression and Random Forests for Layer Identification in IC Layout Reverse-Engineering  

E-Print Network [OSTI]

050 051 052 053 Linear Regression and Random Forests for Layer Identification in IC Layout Reverse in the process; the bulk of the work consists of tracing from the die images the regions which form components, resistors, and capacitors. The common types of layers are the bulk (substrate, i.e. the base silicon

de Freitas, Nando

11

Efficient Estimation in a Regression Model with Missing Responses  

E-Print Network [OSTI]

function for the linear regression model where r#(X) = #>X is b( i; Xi; i) = E h fX E(Xj = 1)gl( ) + E(Xj = 1) 2 i n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o> 1 i n [Xi E(Xj = 1)]l( i) + E(Xj = 1) i 2 o : Proof: Assuming r#(X...) = #>X then _r#(X) = X, and Equation 2.2 becomes ( i; Xi; i) = fX E[Xj = 1]g l( i) + E[Xj = 1] i 2 : The e cient in uence function from Equation 2.3 is b( i; Xi; i) = E n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o n [X E(Xj = 1)]l( ) + E...

Crawford, Scott

2012-10-19T23:59:59.000Z

12

Regression models Consequences of auto-generation  

E-Print Network [OSTI]

with conventional models 2 Consequences of auto-generation Sampling bias Volunteer samples Joint distributions of Y into two components x1(u) = (variety(u), treatment(u), . . .) affecting the mean x2(u) = (block; ) = Nn(X1, 2 0In + 2 1K[x2])(A) A Rn, K[x] = {K(xi, xj)} block-factor models: K(i, j) = 1 if block

McCullagh, Peter

13

Climate Multi-model Regression Using Spatial Smoothing Karthik Subbian  

E-Print Network [OSTI]

Climate Multi-model Regression Using Spatial Smoothing Karthik Subbian Arindam Banerjee Abstract There are several Global Climate Models (GCMs) reported by var- ious countries to the Intergovernmental Panel on Climate Change (IPCC). Due to the varied nature of the GCM assumptions, the fu- ture projections

Banerjee, Arindam

14

PERSONALIZED ILLUMINANCE MODELING USING INVERSE MODELING AND PIECEWISE LINEAR REGRESSION  

E-Print Network [OSTI]

and 25% of the energy use in commercial buildings. Increased energy. Of this, lighting accounts for 11% of energy use in residential buildings efficiency in lighting systems could have a major impact on energy usage

Agogino, Alice M.

15

Photovoltaic Array Condition Monitoring Based on Online Regression of Performance Model  

E-Print Network [OSTI]

Photovoltaic Array Condition Monitoring Based on Online Regression of Performance Model Sergiu Abstract -- Photovoltaic (PV) system performance can be degraded by a series of factors affecting the PV monitoring, fault detection, performance model, photovoltaic systems, regression analysis. I. INTRODUCTION

Teodorescu, Remus

16

Predictive Linear Regression Model for Microinverter Internal Temperature  

E-Print Network [OSTI]

, photovoltaic (PV) module temperature, irradiance and AC power data. Time-series environmental, temperature prediction, reliabil- ity, photovoltaic systems. I. INTRODUCTION PV modules equipped with microinverters have system. Reliability of microinverters in harsh and extreme real- world outdoor operating conditions has

Rollins, Andrew M.

17

Testing regression models with residuals as data by Xia Hua.  

E-Print Network [OSTI]

Abstract In polynomial regression ... . In this thesis, I developed a residual based test, the turning point test for residuals, which tests the hypothesis that the kth order polynomial regression holds with ... while the ...

Hua, Xia, Ph. D. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

18

Partially linear models with unit roots  

E-Print Network [OSTI]

in the regression and consider Dy t H11005dy tH110021 H11001utH11001 ( jH110051 p p j Dy tH11002j H11001g~x t !H11001e t , (2.4) where t is a simple time trend+ In practice, ~2+4! would be used to test if a series has a unit root with a drift versus ~linear! trend... with these regressors+ Thus, corresponding to regression ~2+3!, z t H11005 ~y tH110021 , Dy tH110021 ,+++,Dy tH11002p ! ' ,gH11005~d,p 1 ,+++,p p ! H11477 ; and corresponding to regression ~2+4!, z t H11005~y tH110021 ,t,Dy tH110021 ,+++,Dy tH11002p ! H11477 ,gH11005~d...

Juhl, Ted P.; Xiao, Z. J.

2005-10-01T23:59:59.000Z

19

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models  

SciTech Connect (OSTI)

A central issue in contemporary science is the development of nonlinear data driven statistical–dynamical models for time series of noisy partial observations from nature or a complex model. It has been established recently that ad-hoc quadratic multi-level regression models can have finite-time blow-up of statistical solutions and/or pathological behavior of their invariant measure. Recently, a new class of physics constrained nonlinear regression models were developed to ameliorate this pathological behavior. Here a new finite ensemble Kalman filtering algorithm is developed for estimating the state, the linear and nonlinear model coefficients, the model and the observation noise covariances from available partial noisy observations of the state. Several stringent tests and applications of the method are developed here. In the most complex application, the perfect model has 57 degrees of freedom involving a zonal (east–west) jet, two topographic Rossby waves, and 54 nonlinearly interacting Rossby waves; the perfect model has significant non-Gaussian statistics in the zonal jet with blocked and unblocked regimes and a non-Gaussian skewed distribution due to interaction with the other 56 modes. We only observe the zonal jet contaminated by noise and apply the ensemble filter algorithm for estimation. Numerically, we find that a three dimensional nonlinear stochastic model with one level of memory mimics the statistical effect of the other 56 modes on the zonal jet in an accurate fashion, including the skew non-Gaussian distribution and autocorrelation decay. On the other hand, a similar stochastic model with zero memory levels fails to capture the crucial non-Gaussian behavior of the zonal jet from the perfect 57-mode model.

Harlim, John, E-mail: jharlim@psu.edu [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States)] [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States); Mahdi, Adam, E-mail: amahdi@ncsu.edu [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States)] [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States); Majda, Andrew J., E-mail: jonjon@cims.nyu.edu [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 (United States)

2014-01-15T23:59:59.000Z

20

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

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

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

22

Multiple linear regression: fixed and multinormal data with missing observations among the independent variables  

E-Print Network [OSTI]

) b 23 + W ( 3)b E (W'(x3) El b2 + W" (x3 E) b" ) 3 " ' "3 23 E (W (x ) + W (x ))B2 x3 '23 (3. 21) since W'(x ) + W" (x ) = l. 3 3 It should also be noted that if any group j (except 0) is not large enough to provide regression estimates... of The General Solution or that found in the previous section) from each of the t groups. Let b represent the estimate of B from the t-th group. Then an i estimate of the variance of b is found by the equation k Var(b)- E ( b -b ) /k 1 t i i k k . E t~l (3...

Johnston, Walter Edward

1965-01-01T23:59:59.000Z

23

Photon emission within the linear sigma model  

E-Print Network [OSTI]

Soft-photon emission rates are calculated within the linear sigma model. The investigation is aimed at answering the question to which extent the emissivities map out the phase structure of this particular effective model of strongly interacting matter.

F. Wunderlich; B. Kampfer

2014-12-22T23:59:59.000Z

24

Regression-Based RTL Power Modeling ALESSANDRO BOGLIOLO  

E-Print Network [OSTI]

introduce a low overhead on-line characterization method for enhancing the accuracy of off-line estimation is a key feature for synthesis-based design flows. The main challenge in establishing a sound RTL-up off-line characterization of regression-based power macromodels is discussed in detail. Moreover, we

De Micheli, Giovanni

25

Bayesian Regularization and Model Choice in Structured Additive Regression  

E-Print Network [OSTI]

on the regression coefficients with an inno- vative multiplicative parameter expansion that induces desirable shrinkage properties. This thesis points out a possible reason why previous attempts at extending SSVS with locally varying exponential-gamma distributed variances for the differences of the P-spline coefficients

Gerkmann, Ralf

26

Statistical Modeling of Daily Energy Consumption in Commercial Buildings Using Multiple Regression and Principal Component Analysis  

E-Print Network [OSTI]

analysis to identify these models. However, such models tend to suffer from physically unreasonable regression coefficients and instability due to the fact that the predictor variables (i.e., climatic parameters, building internal loads, etc...

Reddy, T. A.; Claridge, D.; Wu, J.

27

Bias in Predicting Annual Energy Use in Commercial Buildings with Regression Models Developed from Short Data Sets  

E-Print Network [OSTI]

from energy conserving retrofits. The regression modeling approach is accurate and reliable if several months of data (more than six months) are used to develop the model. If such is not the case, the regression models can, unfortunately, lead...

Katipamula, S.; Reddy, T. A.; Claridge, D. E.

1994-01-01T23:59:59.000Z

28

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

SciTech Connect (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

29

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

SciTech Connect (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

30

Mining customer credit by using neural network model with logistic regression approach  

E-Print Network [OSTI]

. The objective of this research was to investigate the methodologies to mine customer credit history for the bank industry. Particularly, combination of logistic regression model and neural network technique are proposed to determine if the predictive capability...

Kao, Ling-Jing

2001-01-01T23:59:59.000Z

31

Logistic regression models for predicting trip reporting accuracy in GPS-enhanced household travel surveys  

E-Print Network [OSTI]

This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...

Forrest, Timothy Lee

2007-04-25T23:59:59.000Z

32

Learning Dynamic Models of Compartment Systems by Combining Symbolic Regression with Fuzzy Vector  

E-Print Network [OSTI]

. Categories and Subject Descriptors I.2.1 [Pattern Recognition]: Models--Fuzzy Set; I.2.6 [ArtificialLearning Dynamic Models of Compartment Systems by Combining Symbolic Regression with Fuzzy Vector and fuzzy represen- tation. We need differential capabilities because, in a dy- namic environment, models

Fernandez, Thomas

33

A Bayesian Bivariate Failure Time Regression Model by Paul Damien  

E-Print Network [OSTI]

. In engineering studies, reliability is defined as the probability that the system has not failed at time t . The reliability of a system using the model in (1) is given by R(t) = P (T 1 ? t; T 2 ? t) = exp(\\Gammaâ??t)[1 using Markov Chain Monte Carlo methods. Keywords: Gumbel Distribution, Gibbs Sampling, Correlation

West, Mike

34

Prediction of tree diameter growth using quantile regression and mixed-effects models  

E-Print Network [OSTI]

Prediction of tree diameter growth using quantile regression and mixed-effects models Som B. Bohora diameter predictions for the same tree in the future. Another approach considered in this study involved and mixed-effects models in predicting tree diameter growth. Tree diameter at the end of each growth period

Cao, Quang V.

35

SPATIO-TEMPORAL REGRESSION MODELS FOR DEFORESTATION IN THE BRAZILIAN AMAZON Giovana M. de Espindolaa  

E-Print Network [OSTI]

SPATIO-TEMPORAL REGRESSION MODELS FOR DEFORESTATION IN THE BRAZILIAN AMAZON Giovana M. de change, spatial simultaneous autoregression ABSTRACT: Deforestation in the Brazilian Amazon has sharply of deforestation in a selected area by relating data from 2002-2008 to a number of explanatory variables, part

Camara, Gilberto

36

Non-parametric regression and neural-network inll drilling recovery models for carbonate reservoirs  

E-Print Network [OSTI]

, and operations e- ciency. Consequent to the primary recovery, water- ¯ood is often used as a secondary recoveryNon-parametric regression and neural-network in®ll drilling recovery models for carbonate ultimate oil recovery from reservoirs in San Andres and Clearfork carbonate formations in West Texas

Valkó, Peter

37

Multiple regression models: A methodology for evaluating trihalomethane concentrations in drinking water from  

E-Print Network [OSTI]

September 2001; accepted 28 January 2002 Abstract The presence of trihalomethanes (THMs) in drinking water in finished drinking water, using data from the Menidi Treatment Plant of Athens. A number of routinely Science Ltd. All rights reserved. Keywords: Multiple regression model; Trihalomethanes; Drinking water

Arhonditsis, George B.

38

A spatiotemporal auto-regressive moving average model for solar radiation  

E-Print Network [OSTI]

A spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D 1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two years otherwise there are too many parameters to be estimated. As we wish to simulate solar radiation on a network

Stone, J. V.

39

Cooling energy demand evaluation by means of regression models obtained from dynamic simulations  

E-Print Network [OSTI]

Cooling energy demand evaluation by means of regression models obtained from dynamic simulations Ph, Université Lyon1, FRANCE ABSTRACT The forecast of the energy heating/cooling demand would be a good indicator between simple and complex methods of evaluating the cooling energy demand we have proposed to use energy

Paris-Sud XI, Université de

40

PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression  

E-Print Network [OSTI]

PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression · Lineares Modell · Vom-Netze Regression #12;PD Dr. Martin Stetter, Siemens AG 2 Das lineare Modell · Ausgangspunkt: Lineares Perceptron vorgegeben, werden nicht gelernt #12;PD Dr. Martin Stetter, Siemens AG 3 · Geschrieben als Regressionsmodell

Popeea, Corneliu - Chair for Foundations of Software Reliability and Theoretical Computer Science

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

A difference based approach to the semiparametric partial linear model  

E-Print Network [OSTI]

A commonly used semiparametric partial linear model is considered. We propose analyzing this model using a difference based approach. The procedure estimates the linear component based on the differences of the observations ...

Wang, Lie

2011-01-01T23:59:59.000Z

42

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...

Wang, J.; Claridge, D. E.

1998-01-01T23:59:59.000Z

43

IEEE Transactions on Software Engineering (to appear). Empirical Studies of a Prediction Model for Regression Test  

E-Print Network [OSTI]

for Regression Test Selection Mary Jean Harrold 1 David Rosenblum 2 Gregg Rothermel 3 Elaine Weyuker 4 Abstract Regression testing is an important activity that can account for a large proportion of the cost of software maintenance. One approach to reducing the cost of regression testing is to employ a selective regression

Rothermel, Gregg

44

Diagnostics for multiple regression problems  

SciTech Connect (OSTI)

In the last 10 to 15 years there has been much work done in trying to improve linear regression results. Individuals have analyzed the susceptibility of least-squares results to values far removed from the center of the independent variable observations. They have studied the problem of heavy-tailed residuals, and they have studied the problem of collinearity. From these studies have come ridge regression techniques, robust regression techniques, regression on principal components, etc. However, many practitioners view these methods with suspicion (and ignorance), and prefer to continue using the usual least-squares procedures to fit their models, even though their results might not be answering the question they think. In reaction to this, statisticians are spending more time analyzing how the individual observations affect the least squares results. In the last few years approximately 10 papers and one text have appeared that address the problem of how to study the influence of the individual observations. This report is a study of the recent work done in linear regression diagnostics. It is concerned with analyzing the effect of one case at a time, since the methods to analyze this situation are relatively straight-forward and are not prohibitive computationally.

Daly, J.C.

1982-03-01T23:59:59.000Z

45

Efficient Semiparametric Estimators for Nonlinear Regressions and Models under Sample Selection Bias  

E-Print Network [OSTI]

simulations. : : : : 68 VIII Five estimates of and and their estimated standard deviation for the ambulatory expenditures data, under two weighting func- tion models. The rst weighting function is w(x; ) = e e x , the second weighting function is w...(X; ) + ; where Y 2 R is the response variable, X 2 Rk is the predictor variable, 2 Rp is the unknown regression parameter and is the random error satisfying E( jX) = 0 and E( 2jX) = 2. Y and are assumed to have nite fourth moments. The parameter vector...

Kim, Mi Jeong

2012-10-19T23:59:59.000Z

46

A near infrared regression model for octane measurements in gasolines which contain MTBE  

SciTech Connect (OSTI)

Near infrared (NIR) spectroscopy has emerged as a superior technique for the on-line determination of octane during the blending of gasoline. This results from the numerous advantages that NIR spectroscopy has over conventional on-line instrumentation. Methyl t-butyl ether (MTBE) is currently the oxygenated blending component of choice. MTBE is advantageous because it has a high blending octane, a low Reid vapor pressure, is relatively cheap, and does not form peroxides (1). The goal of this project was to develop a NIR regression model that could be used to predict pump octanes regardless of whether they contained MTBE.

Maggard, S.M. (Ashland Petroleum Co., KY (USA))

1990-01-01T23:59:59.000Z

47

Error Control of Iterative Linear Solvers for Integrated Groundwater Models  

E-Print Network [OSTI]

and presentation of GMRES performance benchmarking results. Introduction As the groundwater model infrastructureError Control of Iterative Linear Solvers for Integrated Groundwater Models by Matthew F. Dixon1 for integrated groundwater models, which are implicitly coupled to another model, such as surface water models

Bai, Zhaojun

48

Worldsheet instantons and (0,2) linear models  

E-Print Network [OSTI]

We study the stability of heterotic compactifications described by (0,2) gauged linear sigma models with respect to worldsheet instanton corrections to the space-time superpotential following the work of Beasley and Witten. We show that generic models elude the vanishing theorem proved there, and may not determine supersymmetric heterotic vacua. We then construct a subclass of linear models for which a vanishing theorem holds, generating an extensive list of consistent heterotic backgrounds.

Marco Bertolini; M. Ronen Plesser

2014-10-16T23:59:59.000Z

49

Lineales: Algebraic Models of Linear Logic from a Categorical  

E-Print Network [OSTI]

Lineales: Algebraic Models of Linear Logic from a Categorical Perspective Valeria de Paiva with category theory. A secondary aim is to argue for the virtues of Lineales as algebraic structures supporting This paper describes algebraic semantics for (intuitionistic and classical) propositional linear logic, using

de Paiva, Valeria

50

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...

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

2006-01-01T23:59:59.000Z

51

Model Error Correction for Linear Methods in PET Neuroreceptor Measurements  

E-Print Network [OSTI]

Model Error Correction for Linear Methods in PET Neuroreceptor Measurements Hongbin Guo address: hguo1@asu.edu (Hongbin Guo) Preprint submitted to NeuroImage December 11, 2008 #12;reached. A new

Renaut, Rosemary

52

Double Generalized Linear Models: Approximate REML and Diagnostics  

E-Print Network [OSTI]

added com­ plication in a generalized linear model setting by adjusting the working vector and working the dispersion will be of direct interest in its own right, to identify the sources of variability

Smyth, Gordon K.

53

Computational Reality XII Linear regression  

E-Print Network [OSTI]

Abstract We have seen many different examples where the balance equations are solved with some given material relations, to get the response of the matter subject to the loading. In this and the next have three equations to find two unknowns, here C, D. We actually needed two equation to solve two

Berlin,Technische Universität

54

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...

Zhang, Dongmin

2009-05-15T23:59:59.000Z

55

Parameter estimation of a linear vehicle model  

E-Print Network [OSTI]

(1987) . It has already been seen that the discrete-time vehicle model can be described by equation 5. 1 as Y(kr) = Md CdY((k 1)r) Md Rdr((k 2)Y) +ldd SldU((k 1)Y) + Md 82dU((k 1)Y) + N(kr) + Md CdN((k-1)Y) + ldd RdN((k ? 2) Y) A discrete state...-space representation of the model of the form T(k+1) = [F ]T(k) + [G ]U? X(k) = [HQT(k) Y(k) = X(k) + N(k) is now sought. If the state vector I (k) is given by (5. 28) x(k) 1(k) = X(k+1) Md SldU(k) then the state-space model can be described as follows: (5...

Helin, Franz

1990-01-01T23:59:59.000Z

56

Accelerated Failure Time Regression Model with a Regression Model of Surviving Fraction: An Application to the Analysis of RPermanent EmploymentS in Japan  

E-Print Network [OSTI]

other hand, for any given accelerated failure-time model, weconsidered improvements of accelerated failure-time models.Although representative accelerated failure-time models can

Kazuo Yamaguchi

2011-01-01T23:59:59.000Z

57

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

58

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

59

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

SciTech Connect (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

60

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

E-Print Network [OSTI]

Large scale nuclear sensor monitoring and diagnostics by means of an ensemble of regression models , Enrico Ziob a Institute for Energy Technology, Halden, Norway b Polytechnic of Milan, Milan, Italy actions for safely steering critical situations and preventing accidents. To avoid misleading information

Boyer, Edmond

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

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

E-Print Network [OSTI]

MIP models: a heuristic approach ... three-dimensional packing, MIP/MINLP models, linear/non-linear ..... Springer Science + Business Media, New York.

Manlio.Parisch

2011-02-21T23:59:59.000Z

62

Modeling spray impingement using linear stability theories for droplet shattering  

SciTech Connect (OSTI)

This paper compares several linear-theory-based models for droplet shattering employed for simulations of spray impingement on flat wall surface or a circular cylinder. Numerical simulations are conducted using a stochastic separated flow (SSF) technique that includes sub-models for droplet dynamics and impact. Results for spray impingement over a flat wall indicate that the linear theory applicable for a single droplet impact over-predicts the number of satellite (or secondary) droplets upon shattering when compared to experimental data. The causes for the observed discrepancies are discussed. Numerical simulation results for spray impingement over for a circular cylinder in cross flow are obtained and discussed.

DesJardin, Paul Edward; Yoon, Sam Sukgoo

2005-03-01T23:59:59.000Z

63

Independent Demand Models Non Linear (Chemical Industry -take or pay)  

E-Print Network [OSTI]

casesshippedperweek #12;High Variability Between Forecast and Actual · Demand in relation to the forecast means almostIndependent Demand Models · Non Linear (Chemical Industry - take or pay) · Deterministic Simulation (make to stock - lumpy demand) · Mathematical Programming (family structure - near optimum) · Heuristic

Brock, David

64

absorption models linear: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

absorption models linear First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 A Simulation of Ly-alpha...

65

Phase transition in linear sigma model and disoriented chiral condensate  

E-Print Network [OSTI]

We have investigated the phase transition and disoriented chiral condensate domain formation in linear sigma model. Solving the equation of motion for the sigma model fields in contact with a heat bath, we have shown that the fields undergo phase transition above a certain critical temperature(T_c). It was also shown that when the fields thermalised at temperature above T_c are cooled down sufficiently rapidly, disoriented chiral condensate domains are formed quite late in the evolution.

A. K. Chaudhuri

2000-07-28T23:59:59.000Z

66

PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression  

E-Print Network [OSTI]

PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression · Lineares Modell · Vom: Optimierungsverfahren #12;PD Dr. Martin Stetter, Siemens AG 2 Optimierung konvexer Funktionen · Häufiges Problem bei

Popeea, Corneliu - Chair for Foundations of Software Reliability and Theoretical Computer Science

67

Regression analysis Dependent variable (WMMY)  

E-Print Network [OSTI]

;64 65 #12;66 Multiple Linear Regression 67 Example ­ Acid rain in Norwegian lakes Data from a study of the influence of acid rain on Norwegian lakes, made in 1986. Totally 1005 lakes were studied. In this example

Langseth, Helge

68

Developing a gas purchasing strategy using a linear model  

SciTech Connect (OSTI)

This paper outlines the process of developing a gas purchasing strategy with the use of a linear programming model. The linear model is used to determine the least cost approach regarding the acquisition of natural gas which has a considerable impact on the company`s financial performance. The author discusses the importance of optimizing gas costs from an end-user`s perspective. The Midland Cogeneration Venture (MCV) is the country`s largest cogeneration facility. The Facility has been certified by FERC (Federal Energy Regulatory Commission) as a Q.F. (Qualifying Facility) under PURPA (Public Utility Regulatory Policies Act of 1978). Unlike utilities, who have the ability to pass costs through to customers, MCV`s revenues are based on long-term contracts with its utility and industrial customers. Therefore, MCV cannot pass costs through to its customers. As such, effectively managing costs is vital to the success of the company.

Alst, K.M. Van [Midland Cogeneration Venture Limited Partnership, Midland, MI (United States)

1995-12-31T23:59:59.000Z

69

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]

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...

Ji, Qundi

2010-07-14T23:59:59.000Z

70

The use of logistic regression to model the probability of oak wilt occurrence in the Texas hill country using forest stand and site characteristics  

E-Print Network [OSTI]

THE USE OF LOGISTIC REGRESSION TO MODEL THE PROBABILITY OF OAK MILT OCCURRENCE IN THE TEXAS HILL COUNTRY USING FOREST STAND AND SITE CHARACTERISTICS A Thesis by DAVID RORY DIGNUM Submitted to the Graduate College of Texas Afdi University... in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1988 Maj or Subj cot: Forestry THE USE OF LOGISTIC REGRESSION TO MODEL THE PROBABILITY OF OAK WILT OCCURRENCE IN THE TEXAS HILL COUNTRY USING FOREST STAND AND SITE...

Dignum, David Rory

2012-06-07T23:59:59.000Z

71

BIOMETRICS55, 580-584 A Global Goodness-of-Fit Statistic for Cox Regression Models  

E-Print Network [OSTI]

of the models would be helpful. Schoenfeld (1980), Moreau, O'Quigley, and Mesbah (1985), and Moreau, O'Quigley

Parzen, Michael

72

Scaled modeling and simulation of ocean wave linear generator buoy systems.  

E-Print Network [OSTI]

??Accurate scaled modeling and simulation are critical to advancing ocean wave linear generator buoys. A 100th scaled model of ocean wave generator buoy systems is… (more)

Gore, Ganesh P.

2006-01-01T23:59:59.000Z

73

Representing and querying regression models in a relational database management system  

E-Print Network [OSTI]

Curve fitting is a widely employed, useful modeling tool in several financial, scientific, engineering and data mining applications, and in applications like sensor networks that need to tolerate missing or noisy data. ...

Thiagarajan, Arvind

2007-01-01T23:59:59.000Z

74

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

E-Print Network [OSTI]

Automated Demand Response in a Large Office Building”, CECBuilding Control Strategies and Techniques for Demand Response”,Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings

Kiliccote, Sila

2010-01-01T23:59:59.000Z

75

Modelling the e#ects of air pollution on health using Bayesian Dynamic Generalised Linear Models  

E-Print Network [OSTI]

Modelling the e#ects of air pollution on health using Bayesian Dynamic Generalised Linear Models (2004)). Large multi­city studies such as `Air pollution and health: a European approach' (APHEA across a number of US and European cities. Short­term e#ects of air pollution on health are estimated

Bath, University of

76

Examination of temporal DDT trends in Lake Erie fish communities using dynamic linear modeling  

E-Print Network [OSTI]

Examination of temporal DDT trends in Lake Erie fish communities using dynamic linear modeling 25 July 2013 Communicated by Dr. Erik Christensen Keywords: DDT Bayesian inference Dynamic linear (DDT) was initially heralded for its effectiveness against malaria and agricultural pests

Arhonditsis, George B.

77

Non-Linear Stochastic Fractional Programming Model of Financial ...  

E-Print Network [OSTI]

2. Charles, V. and Dutta, D., A method for solving linear stochastic fractional programming problem with mixed constraints, Acta Ciencia Indica, Vol. XXX M,. No.

2005-04-19T23:59:59.000Z

78

Two Stage Smooth Semi Parametric Quantile Regression  

E-Print Network [OSTI]

We propose a root n consistent estimator for ?0 when the qth conditional quantile of Y given X=x and Z=z takes the semi linear form g(x) + z??0 where g(.) is an unknown real valued function,?0 a finite dimensional parameter and (X,Z)a couple of explanatory variables.Importantly, our estimator attains,under homoscedasticity,the semi parametric efficiency bound.This estimation is conducted in two steps. First, a Robinson’s like demeaning of the original model is employed which provides a new quantile regression whose nuisance terms are estimated via a non parametric procedure.In the second stage, the quantile regression is conducted by smoothing the check function.We show that the previous estimator belongs to a class of estimators we propose to name ”two stage smooth semi parametric quantile”

J. M. Krief

2009-01-01T23:59:59.000Z

79

Low-order simultaneous stabilization of linear bicycle models at different forward speeds  

E-Print Network [OSTI]

Low-order simultaneous stabilization of linear bicycle models at different forward speeds A. N. G¨undes¸1 and A. Nanjangud2 Abstract-- Linear models of bicycles with rigidly attached riders, operating-track vehicles with human riders, such as bicycles, present challenging problems of modeling and control. Based

Gundes, A. N.

80

On the existence of affine Landau-Ginzburg phases in gauged linear sigma models  

E-Print Network [OSTI]

We prove a simple criterion for the existence of an affine Landau-Ginzburg point in the K\\"ahler moduli space of a gauged linear sigma model.

Patrick Clarke; Josh Guffin

2010-09-04T23:59:59.000Z

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

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

SciTech Connect (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

82

Ice stream basal conditions from block-wise surface data inversion and simple regression models of ice stream flow: Application to  

E-Print Network [OSTI]

Ice stream basal conditions from block-wise surface data inversion and simple regression models of ice stream flow: Application to Bindschadler Ice Stream O. V. Sergienko,1 R. A. Bindschadler,2 P. L; published 4 December 2008. [1] Widespread basal conditions controlling ice stream flows are still beyond

Boyce, C. Kevin

83

Finite-element discretization of a linearized 2 -D model for lubricated oil transportation  

E-Print Network [OSTI]

Finite-element discretization of a linearized 2 - D model for lubricated oil transportation V acts as a lubricant by coating the wall of the pipeline, thus preventing the oil from adhering is devoted to the numerical simulation of a linearized model for the lubricated trans- portation of heavy

Frey, Pascal

84

Optimisation and comparison of integrated models of direct-drive linear machines for wave energy conversion   

E-Print Network [OSTI]

Combined electrical and structural models of five types of permanent magnet linear electrical machines suitable for direct-drive power take-off on wave energy applications are presented. Electromagnetic models were ...

Crozier, Richard Carson

2014-06-30T23:59:59.000Z

85

Estimation of linear autoregressive models with Markov-switching, the E.M. algorithm revisited  

E-Print Network [OSTI]

This work concerns estimation of linear autoregressive models with Markov-switching using expectation maximisation (E.M.) algorithm. Our method generalise the method introduced by Elliot for general hidden Markov models and avoid to use backward recursion.

Rynkiewicz, Joseph

2008-01-01T23:59:59.000Z

86

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

SciTech Connect (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

87

Process Modeling of Ti-6Al-4V Linear Friction Welding (LFW)  

E-Print Network [OSTI]

Process Modeling of Ti-6Al-4V Linear Friction Welding (LFW) Mica Grujicic, G. Arakere, B finite-element analysis of the linear friction welding (LFW) process is combined with the basic physical in the open literature revealed that the weld region consists of a thermo- mechanically affected zone (TMAZ

Grujicic, Mica

88

Ac-conductivity and electromagnetic energy absorption for the Anderson model in linear response theory  

E-Print Network [OSTI]

We continue our study of the ac-conductivity in linear response theory for the Anderson model using the conductivity measure. We establish further properties of the conductivity measure, including nontriviality at nonzero temperature, the high temperature limit, and asymptotics with respect to the disorder. We also calculate the electromagnetic energy absorption in linear response theory in terms of the conductivity measure.

Abel Klein; Peter Müller

2014-03-03T23:59:59.000Z

89

Learning Non-linear Models Shape and Motion  

E-Print Network [OSTI]

Models or Eigen Models have been introduced. These statistical models of deformation overcome some, from a training set of examples. This semi-automated learning procedure provides a more generic. A special word of thanks for Dr Dave Cohen for the many valued discussions related to this work. Id like

Bowden, Richard

90

Some computer simulations based on the linear relative risk model  

SciTech Connect (OSTI)

This report presents the results of computer simulations designed to evaluate and compare the performance of the likelihood ratio statistic and the score statistic for making inferences about the linear relative risk mode. The work was motivated by data on workers exposed to low doses of radiation, and the report includes illustration of several procedures for obtaining confidence limits for the excess relative risk coefficient based on data from three studies of nuclear workers. The computer simulations indicate that with small sample sizes and highly skewed dose distributions, asymptotic approximations to the score statistic or to the likelihood ratio statistic may not be adequate. For testing the null hypothesis that the excess relative risk is equal to zero, the asymptotic approximation to the likelihood ratio statistic was adequate, but use of the asymptotic approximation to the score statistic rejected the null hypothesis too often. Frequently the likelihood was maximized at the lower constraint, and when this occurred, the asymptotic approximations for the likelihood ratio and score statistics did not perform well in obtaining upper confidence limits. The score statistic and likelihood ratio statistics were found to perform comparably in terms of power and width of the confidence limits. It is recommended that with modest sample sizes, confidence limits be obtained using computer simulations based on the score statistic. Although nuclear worker studies are emphasized in this report, its results are relevant for any study investigating linear dose-response functions with highly skewed exposure distributions. 22 refs., 14 tabs.

Gilbert, E.S.

1991-10-01T23:59:59.000Z

91

Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming  

SciTech Connect (OSTI)

This paper describes the introduction of stochastic linear programming into Operations DER-CAM, a tool used to obtain optimal operating schedules for a given microgrid under local economic and environmental conditions. This application follows previous work on optimal scheduling of a lithium-iron-phosphate battery given the output uncertainty of a 1 MW molten carbonate fuel cell. Both are in the Santa Rita Jail microgrid, located in Dublin, California. This fuel cell has proven unreliable, partially justifying the consideration of storage options. Several stochastic DER-CAM runs are executed to compare different scenarios to values obtained by a deterministic approach. Results indicate that using a stochastic approach provides a conservative yet more lucrative battery schedule. Lower expected energy bills result, given fuel cell outages, in potential savings exceeding 6percent.

Cardoso, Goncalo; Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; DeForest, Nicholas; Barbosa-Povoa, Ana; Ferrao, Paulo

2013-05-23T23:59:59.000Z

92

Testing Linear Diagnostics of Ensemble Performance on a Simplified Global Circulation Model  

E-Print Network [OSTI]

is inherently flow dependent and that the ensemble predicts potential patterns of forecast errors more reliably than the magnitudes of the errors. A low-resolution global circulation model is implemented to calculate linear diagnostics in the vector space...

Nelson, Ethan

2011-04-21T23:59:59.000Z

93

Accelerated Iterative Method for Solving Steady Solutions of Linearized Atmospheric Models  

E-Print Network [OSTI]

Accelerated Iterative Method for Solving Steady Solutions of Linearized Atmospheric Models Masahiro approach, referred to as the accelerated iterative method (AIM), is developed for solving steady state, respectively. For ensuring the accelerated asymptotic convergence of iterative procedure

Watanabe, Masahiro

94

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

SciTech Connect (OSTI)

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

95

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

SciTech Connect (OSTI)

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

96

Non-linear load-deflection models for seafloor interaction with steel catenary risers  

E-Print Network [OSTI]

load-deflection (P-y) models (non-degradating and degradating models) to simulate seafloor-riser interaction. These two models considered the seafloor-riser system in terms of an elastic steel pipe supported on non-linear soil springs with vertical...

Jiao, Yaguang

2009-05-15T23:59:59.000Z

97

Nonparametric Stochastic Modeling Of Linear Systems With Pre-scribed Variance Of Several Natural Frequencies  

E-Print Network [OSTI]

Nonparametric Stochastic Modeling Of Linear Systems With Pre- scribed Variance Of Several Natural of the inverse of the random matrix. The efficient simulation of sam- ples of random matrices according matrices, maximum entropy, probabilistic model 1 INTRODUCTION The stochastic modeling and simulation

Paris-Sud XI, Université de

98

Control-Oriented Linear Parameter-Varying Modelling of a Turbocharged Diesel Engine  

E-Print Network [OSTI]

Control-Oriented Linear Parameter-Varying Modelling of a Turbocharged Diesel Engine Merten Jung-- In this paper, a third order nonlinear model of the airpath of a turbocharged diesel engine is derived, which and to a higher order nonlinear model suggests the validity of this approach. I. INTRODUCTION Modern diesel

Cambridge, University of

99

A Hierarchy of Linear Threshold Models for the Spread of Political Revolutions on Social Networks  

E-Print Network [OSTI]

We study a linear threshold agent-based model (ABM) for the spread of political revolutions on social networks using empirical network data. We propose new techniques for building a hierarchy of simplified ordinary differential equation (ODE) based models that aim to capture essential features of the ABM, including effects of the actual networks, and give insight in the parameter regime transitions of the ABM. We relate the ABM and the hierarchy of models to a population-level compartmental ODE model that we proposed previously for the spread of political revolutions [1], which is shown to be mathematically consistent with the proposed ABM and provides a way to analyze the global behaviour of the ABM. This consistency with the linear threshold ABM also provides further justification a posteriori for the compartmental model of [1]. Extending concepts from epidemiological modelling, we define a basic reproduction number $R_0$ for the linear threshold ABM and apply it to predict ABM behaviour on empirical networ...

Lang, John C

2015-01-01T23:59:59.000Z

100

Vibration Stabilization of a Mechanical Model of a X-Band Linear Collider Final Focus Magnet  

SciTech Connect (OSTI)

The small beam sizes at the interaction point of a X-band linear collider require mechanical stabilization of the final focus magnets at the nanometer level. While passive systems provide adequate performance at many potential sites, active mechanical stabilization is useful if the natural or cultural ground vibration is higher than expected. A mechanical model of a room temperature linear collider final focus magnet has been constructed and actively stabilized with an accelerometer based system.

Frisch, Josef; Chang, Allison; Decker, Valentin; Doyle, Eric; Eriksson, Leif; Hendrickson, Linda; Himel, Thomas; Markiewicz, Thomas; Partridge, Richard; Seryi, Andrei; /SLAC

2006-09-28T23:59:59.000Z

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

A Two Step Model for Linear Prediction, with Connections to PLS  

E-Print Network [OSTI]

A Two Step Model for Linear Prediction, with Connections to PLS Ying Li Faculty of Natural ISSN, 1654-9406 ISBN, 978-91-576-9055-5 c 2011 Ying Li, Uppsala Print: SLU Service/Repro, Uppsala 2011 Model, Krylov Space, MLE, PLS. Author's address: Ying Li SLU, Department of Energy and Technology, Box

102

Non-Linear Factor Model for Asset Selection using Multi Objective Genetic Programming  

E-Print Network [OSTI]

and sensi- tivity to market movement. In [8], the interest rates, money growth, oil prices, and growth framework of the model. It was shown that the market exhibits evidence for nonlinear behaviour with effectsNon-Linear Factor Model for Asset Selection using Multi Objective Genetic Programming Ghada Hassan

Fernandez, Thomas

103

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 at suppressing thermoacoustic instabilities. As a first step towards achieving the same for oxy-fuel combustion, we develop a control relevant model of oxy-fuel combustion. In oxy-fuel combustion CO2 is used

Foss, Bjarne A.

104

Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control  

E-Print Network [OSTI]

Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control Zhenwu Shi prediction of time-delays caused by real-time scheduling. Then, a model predictive controller is designed, the interaction between real-time scheduling and control design has received interest in the literature

Zhang, Fumin

105

Quantile Regression Caren Marzban  

E-Print Network [OSTI]

. European Wind Energy Conference. (QR Forests) 4 #12;Quantile Regression (Forests) Instead of minimizing n i.95 quantile - 0.05 quantile. 3 #12;History Google counts: meteorology regression 655,000 meteorology Kariniotakis (2007): Probabilistic short- term wind power forecasting based on kernel density estimators

Marzban, Caren

106

Collinearity in Linear Structural Models of Market Power Jeffrey M. Perloff*  

E-Print Network [OSTI]

if the marginal cost and demand equations are linear. Key Words: collinearity, estimation, market power. JEL that the marginal cost curve is cMC = + w+ r + Q + , (1) where w is the wage, r is the rental rate on capital, Q The well-known structural model used to estimate market power suffers from a severe collinearity problem

Perloff, Jeffrey M.

107

Manufacturing Equipment Modeling For a linear axis actuated by an electric motor complete the following  

E-Print Network [OSTI]

Manufacturing Equipment Modeling QUESTION 1 For a linear axis actuated by an electric motor(t). Include the axis disturbance force, but do not include motor electrical dynamics or Coulomb friction For a spindle actuated by an electric motor complete the following: a. Derive a differential equation

Landers, Robert G.

108

LINEAR TIME PERIODIC MODELLING OF POWER ELECTRONIC DEVICES FOR POWER SYSTEM HARMONIC ANALYSIS AND SIMULATION  

E-Print Network [OSTI]

LINEAR TIME PERIODIC MODELLING OF POWER ELECTRONIC DEVICES FOR POWER SYSTEM HARMONIC ANALYSIS by simulation. 1. INTRODUCTION The variety and the wide spread use of power electronic devices in the power networks is due to their diverse and multiple functions: compensation, protection and interface

Boyer, Edmond

109

Land cover time profiles from linear mixture models applied to MODIS images P. Oliveira a,  

E-Print Network [OSTI]

the coarse spatial resolution of satellites such as the Advanced Very High Resolution Radiometer (AVHRR) (e and AQUA launched on December 18, 1999 and on May 4, 2002, respectively. MODIS images correspond to high the pixel. In linear models (LMM) the electromagnetic energy interacts with a single component before being

Gonçalves, Paulo

110

Linear Free Energy Relationships between Dissolution Rates and Molecular Modeling Energies of Rhombohedral  

E-Print Network [OSTI]

Linear Free Energy Relationships between Dissolution Rates and Molecular Modeling Energies, and Geochemistry Department, Sandia National Laboratories, Albuquerque, New Mexico 87185-0750 Received July 24, 2003. In Final Form: December 18, 2003 Bulk and surface energies are calculated for endmembers

111

Steam-circuit Model for the Compact Linear Fresnel Reflector , G. L. Morrison1  

E-Print Network [OSTI]

Steam-circuit Model for the Compact Linear Fresnel Reflector Prototype J. D. Pye1 , G. L. Morrison1 , D. R. Mills2 , P. Le Lievre3 and M. Behnia1 1 School of Mechanical and Manufacturing, University currently in the prototype stage at the Liddell power station in the Hunter Valley, NSW. A system

112

OFS model-based adaptive control for block-oriented non-linear Systems  

E-Print Network [OSTI]

) and a heavy oil distillation column (Zhang et al., 2004b). Meanwhile, he has also made some theoretical processes such as distillation, pH neutralization control, hydro-control and chemical reactions linear model predictive control (MPC) based on a Laguerre series and successfully applied the scheme to p

Cambridge, University of

113

ON THE LINEAR GROWTH OF THE SPLITANDMERGE SIMULATION TREE FOR A MULTICOMPONENT AGE REPLACEMENT MODEL  

E-Print Network [OSTI]

ON THE LINEAR GROWTH OF THE SPLIT­AND­MERGE SIMULATION TREE FOR A MULTICOMPONENT AGE REPLACEMENT Functional estimation, split­and­merge tree, opti­ mization, maintenance models, age replacement poli­ cies Abstract We a consider a replacement policy based on age thresholds, for a multicomponent system. We want

Vázquez-Abad, Felisa J.

114

Testing Lack-of-Fit of Generalized Linear Models via Laplace Approximation  

E-Print Network [OSTI]

Coefficients used in (5.6) to evaluate power to detect the omission of a interaction term. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 12 Performance of the Bayes sum test in detecting an omitted dichoto- mous variable and its interaction... was obtained using a smoothing spline fit. The parametric model was obtained by modeling the log odds with the parametric linear predictor: ?0 + ?3(x ? 12)? I(x > 12) where x denotes the start variable. . . . . . . . . . . . . . . . . . . . . . . . . 138 4...

Glab, Daniel Laurence

2012-07-16T23:59:59.000Z

115

Lattice spacing dependence of phase transition temperature in the classical linear sigma model  

E-Print Network [OSTI]

We have investigated the phase transition properties of classical linear sigma model. The fields were kept in contact with a heat bath for sufficiently long time such that fields are equilibrated at the temperature of the heat bath. It was shown that the sigma model fields undergoes phase transition, but the transition temperature depend crucially on the lattice spacing. In the continuum limit, the transition temperature tends to zero or at least to a very low value.

A. K. Chaudhuri

2001-05-02T23:59:59.000Z

116

E-Print Network 3.0 - applied regression including Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Model command5 to obtain the multiple regression output (p 118) RSquare RSquare... 2003 Module 4 The Multiple Regression Model Example: Explaining and predicting fuel efficiency...

117

Non-linear Langevin model for the early-stage dynamics of electrospinning jets  

E-Print Network [OSTI]

We present a non-linear Langevin model to investigate the early-stage dynamics of electrified polymer jets in electrospinning experiments. In particular, we study the effects of air drag force on the uniaxial elongation of the charged jet, right after ejection from the nozzle. Numerical simulations show that the elongation of the jet filament close to the injection point is significantly affected by the non-linear drag exerted by the surrounding air. These result provide useful insights for the optimal design of current and future electrospinning experiments.

Lauricella, Marco; Pisignano, Dario; Succi, Sauro

2015-01-01T23:59:59.000Z

118

A Model for Non-Linear Quantum Evolution based on Time Displaced Entanglement  

E-Print Network [OSTI]

We discuss a model for non-linear quantum evolution based on the idea of time displaced entanglement, produced by taking one member of an entangled pair on a round trip at relativistic speeds, thus inducing a time-shift between the pair. We show that decoherence of the entangled pair is predicted. For non-maximal entanglement this then implies the ability to induce a non-unitary, non-linear quantum evolution. Although exhibiting unusual characteristics, we show that these evolutions cannot be dismissed on the basis of entropic or causal arguments.

T. C. Ralph

2006-10-12T23:59:59.000Z

119

High Dimensional Sparse Econometric Models: An Introduction  

E-Print Network [OSTI]

In this chapter we discuss conceptually high dimensional sparse econometric models as well as estimation of these models using ?1-penalization and post-?1-penalization methods. Focusing on linear and nonparametric regression ...

Belloni, Alexandre

2011-06-26T23:59:59.000Z

120

Photon emission rates near the critical point in the linear sigma model  

E-Print Network [OSTI]

Employing the linear sigma model, the effective masses of quasi-particle excitations are found to exhibit significant variations within the phase diagram, which has a critical point at non-zero chemical potential, where a first-order phase transition sets in. Soft-photon emission rates in lowest order display, for selected channels, a sensible dependence on the effective masses of the involved excitations and let us argue that they could map out the phase diagram.

Wunderlich, Falk

2015-01-01T23:59:59.000Z

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.


121

Sporting Good Manufacturing Company: Optimal Manufacturing and Shipping Cost Through Linear Programming Models  

E-Print Network [OSTI]

Figure 15: Example Transshipment Model.............................................................................. 18 vi List of Principal Symbols and Nomenclature SGMC Sporting Good Manufacturing Company LP Linear Programming CEO Chief... Executive Officer COO Chief Operation Officer PKR Pakistani Rupees EMGT Engineering Management O.F. Objective Function A i No. of bats manufactured in factory i; where i = k, l BB i No. of Stumps manufactured in factory i; where i = k, l C i No...

Malik, Ejaz

2009-05-15T23:59:59.000Z

122

The linear model and experimentally observed resonant field amplification in tokamaks and reversed field pinches  

SciTech Connect (OSTI)

A review is given of the experimentally observed effects related to the resonant field amplification (RFA) and the Resistive Wall Mode (RWM) instability in tokamaks and reversed field pinches (RFPs). This includes the feedback rotation of RWM in RFX-mod RFP, dependence of the RWM growth rate on the plasma-wall separation observed in JT-60U, appearance of the slowly growing RWM precursors in JT-60U and similar phenomena in other devices. The experimental results are compared with theoretical predictions based on the model comprising the Maxwell equations, Ohm's law for the conducting wall, the boundary conditions and assumption of linear plasma response to the external magnetic perturbations. The model describes the plasma reaction to the error field as essentially depending on two factors: the plasma proximity to the RWM stability threshold and the natural rotation frequency of the plasma mode. The linear response means that these characteristics are determined by the plasma equilibrium parameters only. It is shown that the mentioned effects in different devices under different conditions can be described on a common basis with only assumption that the plasma behaves as a linear system. To extend the range of the model validation, some predictions are derived with proposals for experimental studies of the RFA dynamics.

Pustovitov, V. D. [Russian Research Centre Kurchatov Institute, Institute of Tokamak Physics (Russian Federation)

2011-01-15T23:59:59.000Z

123

Variable-Speed Wind Turbine Controller Systematic Design Methodology: A Comparison of Non-Linear and Linear Model-Based Designs  

SciTech Connect (OSTI)

Variable-speed, horizontal axis wind turbines use blade-pitch control to meet specified objectives for three regions of operation. This paper focuses on controller design for the constant power production regime. A simple, rigid, non-linear turbine model was used to systematically perform trade-off studies between two performance metrics. Minimization of both the deviation of the rotor speed from the desired speed and the motion of the actuator is desired. The robust nature of the proportional-integral-derivative (PID) controller is illustrated, and optimal operating conditions are determined. Because numerous simulation runs may be completed in a short time, the relationship of the two opposing metrics is easily visualized. Traditional controller design generally consists of linearizing a model about an operating point. This step was taken for two different operating points, and the systematic design approach was used. A comparison of the optimal regions selected using the n on-linear model and the two linear models shows similarities. The linearization point selection does, however, affect the turbine performance slightly. Exploitation of the simplicity of the model allows surfaces consisting of operation under a wide range of gain values to be created. This methodology provides a means of visually observing turbine performance based upon the two metrics chosen for this study. Design of a PID controller is simplified, and it is possible to ascertain the best possible combination of controller parameters. The wide, flat surfaces indicate that a PID controller is very robust in this variable-speed wind turbine application.

Hand, M. M.

1999-07-30T23:59:59.000Z

124

Fracture permeability and seismic wave scattering--Poroelastic linear-slip interface model for heterogeneous fractures  

SciTech Connect (OSTI)

Schoenberg's Linear-slip Interface (LSI) model for single, compliant, viscoelastic fractures has been extended to poroelastic fractures for predicting seismic wave scattering. However, this extended model results in no impact of the in-plane fracture permeability on the scattering. Recently, we proposed a variant of the LSI model considering the heterogeneity in the in-plane fracture properties. This modified model considers wave-induced, fracture-parallel fluid flow induced by passing seismic waves. The research discussed in this paper applies this new LSI model to heterogeneous fractures to examine when and how the permeability of a fracture is reflected in the scattering of seismic waves. From numerical simulations, we conclude that the heterogeneity in the fracture properties is essential for the scattering of seismic waves to be sensitive to the permeability of a fracture.

Nakagawa, S.; Myer, L.R.

2009-06-15T23:59:59.000Z

125

Cosmological constraints on a dark energy model with a non-linear scalar field  

E-Print Network [OSTI]

In the present work we study a dark energy model in which a non-linear scalar field (tachyon) with a Born-Infeld type of action is responsible for the observed cosmic acceleration. The potential of the tachyon is well-motivated since it comes from open string theory and the model is subjected to various cosmological constraints with data coming from supernovae as well as from microwave background radiation. Our analysis shows that in the particular model under study the tachyon can be an excellent candidate for dark energy in the universe, as the model agrees with a series of observational data and for a wide range of the parameters of the model.

G. Panotopoulos

2006-06-16T23:59:59.000Z

126

A new sliced inverse regression method for multivariate response regression  

E-Print Network [OSTI]

inverse regression. 1 Introduction In analyzing large datasets, multivariate response regression analysis) which is a well-known method to estimate the EDR space. The link function can be estimatedA new sliced inverse regression method for multivariate response regression Rapha¨el Coudret1, St

Paris-Sud XI, Université de

127

Quadratic integer programming and a technique for selection of regression coefficients  

E-Print Network [OSTI]

. . ~. . . ~. . . . . . . . . 1 Programming Problems. Linear Programming. Non-Linear Programming. Integer Linear Programming. Quadratic Integer Programming . kpplication in Statistics 1 2 6 7 II. QUADRATIC INTEGER PROGRAMMING. . . . . . . 9 Formulation of the Quadratic... Integer Programming Problem. The Kunsi-Oettli Algorithm. Theoretical Development Numerical Examples. 9 1$ 15 21 III. ~ICATION IN REGRESSION JQIMYSIS. Formulation of the Regression Problem . . . $0 Conclusions . . . . . . . . . . . . . . . 55...

Coward, James Michael

1966-01-01T23:59:59.000Z

128

Rank Estimation in ReducedRank Regression Efstathia Bura  

E-Print Network [OSTI]

Rank Estimation in Reduced­Rank Regression Efstathia Bura Department of Statistics, The George, University of Minnesota, St. Paul, MN 55108 E­mail: dennis@stat.umn.edu Reduced rank regression assumes that the coe#cient matrix in a multi­ variate regression model is not of full rank. The unknown rank

Bura, Efstathia

129

Predicting oropharyngeal tumor volume throughout the course of radiation therapy from pretreatment computed tomography data using general linear models  

SciTech Connect (OSTI)

Purpose: The purpose of this work was to develop and evaluate the accuracy of several predictive models of variation in tumor volume throughout the course of radiation therapy. Methods: Nineteen patients with oropharyngeal cancers were imaged daily with CT-on-rails for image-guided alignment per an institutional protocol. The daily volumes of 35 tumors in these 19 patients were determined and used to generate (1) a linear model in which tumor volume changed at a constant rate, (2) a general linear model that utilized the power fit relationship between the daily and initial tumor volumes, and (3) a functional general linear model that identified and exploited the primary modes of variation between time series describing the changing tumor volumes. Primary and nodal tumor volumes were examined separately. The accuracy of these models in predicting daily tumor volumes were compared with those of static and linear reference models using leave-one-out cross-validation. Results: In predicting the daily volume of primary tumors, the general linear model and the functional general linear model were more accurate than the static reference model by 9.9% (range: ?11.6%–23.8%) and 14.6% (range: ?7.3%–27.5%), respectively, and were more accurate than the linear reference model by 14.2% (range: ?6.8%–40.3%) and 13.1% (range: ?1.5%–52.5%), respectively. In predicting the daily volume of nodal tumors, only the 14.4% (range: ?11.1%–20.5%) improvement in accuracy of the functional general linear model compared to the static reference model was statistically significant. Conclusions: A general linear model and a functional general linear model trained on data from a small population of patients can predict the primary tumor volume throughout the course of radiation therapy with greater accuracy than standard reference models. These more accurate models may increase the prognostic value of information about the tumor garnered from pretreatment computed tomography images and facilitate improved treatment management.

Yock, Adam D., E-mail: ADYock@mdanderson.org; Kudchadker, Rajat J. [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States)] [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States); Rao, Arvind [Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and the Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States)] [Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and the Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States); Dong, Lei [Scripps Proton Therapy Center, San Diego, California 92121 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States)] [Scripps Proton Therapy Center, San Diego, California 92121 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States); Beadle, Beth M.; Garden, Adam S. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 (United States)] [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 (United States); Court, Laurence E. [Department of Radiation Physics and Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States)] [Department of Radiation Physics and Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030 (United States)

2014-05-15T23:59:59.000Z

130

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

131

Statistical physics of a model binary genetic switch with linear feedback  

E-Print Network [OSTI]

We study the statistical properties of a simple genetic regulatory network that provides heterogeneity within a population of cells. This network consists of a binary genetic switch in which stochastic flipping between the two switch states is mediated by a "flipping" enzyme. Feedback between the switch state and the flipping rate is provided by a linear feedback mechanism: the flipping enzyme is only produced in the on switch state and the switching rate depends linearly on the copy number of the enzyme. This work generalises the model of [Phys. Rev. Lett., 101, 118104] to a broader class of linear feedback systems. We present a complete analytical solution for the steady-state statistics of the number of enzyme molecules in the on and off states, for the general case where the enzyme can mediate flipping in either direction. For this general case we also solve for the flip time distribution, making a connection to first passage and persistence problems in statistical physics. We show that the statistics of the model are non-Poissonian, leading to a peak in the flip time distribution. The occurrence of such a peak is analysed as a function of the parameter space. We present a new relation between the flip time distributions measured for two relevant choices of initial condition. We also introduce a new correlation measure to show that this model can exhibit long-lived temporal correlations, thus providing a primitive form of cellular memory. Motivated by DNA replication as well as by evolutionary mechanisms involving gene duplication, we study the case of two switches in the same cell. This results in correlations between the two switches; these can either positive or negative depending on the parameter regime.

Paolo Visco; Rosalind J. Allen; Martin R. Evans

2009-03-31T23:59:59.000Z

132

The fixed structurally robust internal model principle for linear multivariable regulators  

E-Print Network [OSTI]

)]~ = 0 where all the poles must be within C . The property described by (6) is defined as loop stability, Note that loop s . ability does not guarantee internal stability since un'table canoelle, t'ion may occur in the ce. . cede of T(s, 0, )F(s). W(s... for the degree of I'V. STER OF S"IENCE Vay 1980 Va jor Sub jec ~: Elec+r ical Engineering THE FIXED STRUCTURALLY ROBUST INTERNAL MODEL PRINCIPLE FOR LINEAR MULTIVARIABLE REGUIATORS A Thesis by JOHN THOMAS MCGRATH Aoproved as to style and content by...

McGrath, John Thomas

2012-06-07T23:59:59.000Z

133

Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model  

E-Print Network [OSTI]

(Gueorguieva, 2001). 2.3 Assessing Correlation in Generalized Linear Mixed Model A number of measurements of agreement among multiple measurements taken by several observers or methods have been proposed. Cohen?s kappa statistics (Cohen, 1960) and weighted... gives ?inter,i = Ti? t=1 Ti? t?=1 Cov(?i1t, ?i2t?) ???? [ Ti? t=1 E{?1h1(?i1t)} + Var ( Ti? t=1 ?i1t )] [ Ti? t?=1 E{?2h2(?i2t?)} + Var ( Ti? t?=1 ?i2t? )] . It can be shown that the inter-CC is a ratio of functions of Ti? t=1 E(?i...

Chen, Hsiang-Chun

2013-08-01T23:59:59.000Z

134

Poisson Regression Analysis of Illness and Injury Surveillance Data  

SciTech Connect (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

135

Kinetic simulations and reduced modeling of longitudinal sideband instabilities in non-linear electron plasma waves  

SciTech Connect (OSTI)

Kinetic Vlasov simulations of one-dimensional finite amplitude Electron Plasma Waves are performed in a multi-wavelength long system. A systematic study of the most unstable linear sideband mode, in particular its growth rate ? and quasi- wavenumber ?k, is carried out by scanning the amplitude and wavenumber of the initial wave. Simulation results are successfully compared against numerical and analytical solutions to the reduced model by Kruer et al. [Phys. Rev. Lett. 23, 838 (1969)] for the Trapped Particle Instability (TPI). A model recently suggested by Dodin et al. [Phys. Rev. Lett. 110, 215006 (2013)], which in addition to the TPI accounts for the so-called Negative Mass Instability because of a more detailed representation of the trapped particle dynamics, is also studied and compared with simulations.

Brunner, S., E-mail: stephan.brunner@epfl.ch; Hausammann, L. [Centre de Recherches en Physique des Plasmas, Association Euratom-Confédération Suisse, Ecole Polytechnique Fédérale de Lausanne, CRPP-PPB, CH-1015 Lausanne (Switzerland); Berger, R. L., E-mail: berger5@llnl.gov; Cohen, B. I. [Lawrence Livermore National Laboratory, University of California, P.O. Box 808, Livermore, California 94551 (United States); Valeo, E. J. [Princeton Plasma Physics Laboratory, P.O. Box 451, Princeton, New Jersey 08543-0451 (United States)

2014-10-15T23:59:59.000Z

136

Non-linear model of particle acceleration at colliding shock flows  

E-Print Network [OSTI]

Powerful stellar winds and supernova explosions with intense energy release in the form of strong shock waves can convert a sizeable part of the kinetic energy release into energetic particles. The starforming regions are argued as a favorable site of energetic particle acceleration and could be efficient sources of nonthermal emission. We present here a non-linear time-dependent model of particle acceleration in the vicinity of two closely approaching fast magnetohydrodynamic (MHD) shocks. Such MHD flows are expected to occur in rich young stellar cluster where a supernova is exploding in the vicinity of a strong stellar wind of a nearby massive star. We find that the spectrum of the high energy particles accelerated at the stage of two closely approaching shocks can be harder than that formed at a forward shock of an isolated supernova remnant. The presented method can be applied to model particle acceleration in a variety of systems with colliding MHD flows.

Bykov, A M; Osipov, S M

2012-01-01T23:59:59.000Z

137

Using Linear Genetic Programming to Develop a C/C++ Simulation Model of a Waste Incinerator. Larry M Deschaine PE  

E-Print Network [OSTI]

Using Linear Genetic Programming to Develop a C/C++ Simulation Model of a Waste Incinerator. Larry incinerator accurately. Human expert written simulation models are used worldwide in a variety of industrial waste incinerator. This process is a difficult problem to model. Previously, in a well-conducted study

Fernandez, Thomas

138

Adaptive matrix distances aiming at optimum regression subspaces  

E-Print Network [OSTI]

with distances of the associated target space. The formalism of multivariate subspace regression (MSR) is based space, such as linear discriminant analysis (LDA) for dis- crete class labels [3], generalized linear.strickert@uni-siegen.de Abstract. A new supervised adaptive metric approach is introduced for mapping an input vector space

Blanz, Volker

139

Multiple Linear Regression Models: Predicting the Texas Windstrom Insurance Association Claim Payout and Ratio Versus the Appraised Value of Commercial Buildings from Hurricae Ike  

E-Print Network [OSTI]

). This estimate does not cover indirect costs such as insurance compensation from the United States government or indirect costs to companies and individuals. Moreover, Hurricane Andrew, in August of 1992, created insured losses of $150 million in a single..., but also compares the geographical vulnerability of each area. Table 2. Definition of Hurricane Surge Zone Hurricane Surge Zone Wind Speed (mph) Surge Height (ft) 5 74 ~ 95 4 ~ 5 4 96 ~ 110 6 ~ 8 3 111 ~ 129 9 ~ 12 2 130 ~ 156 13 ~ 18 1 >157 >18...

Kim, Ji Myong

2013-07-31T23:59:59.000Z

140

Steady state and transient model of a linear solar concentrator with cylindrical absorber  

SciTech Connect (OSTI)

A linear parabolic collector with integrated absorber pipe assembly is one of the main elements of a solar energy collection system that produces electricity or process heat. This kind of a system must geometrically and thermally be optimized so that a reasonable operating efficiency can be reached. A linear parabolic collector having an absorber, encircled with a cylindrical cavity, has been studied and the geometrical parameters of the system have been optimized before the collector was built and put into operation. The collector having dimensions of 200X95 sq.cm and having a focal length of 60 cm. is built under the view of the optimization procedure. The collector is oriented EW horizontal in the NS tracking mode and the longitudinal deviations of the focal line is examined. The energy distribution along the focal line of the collector is measured using a laser together with a wattmeter. The effects of the thermal and optical parameters on the performance of the system is studied by the use of a theoretical model that is built for the collector absorber system. The value of each parameter is changed from a minimum to a maximum, keeping the other parameters at their average values.

Ecevit, A.

1980-12-01T23:59:59.000Z

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

Abstract--In order to design a model based controller availability of a linear model of the system to be controlled is  

E-Print Network [OSTI]

-elastic simulators. The use of such linearized models describing the WT dynamics was a real breakthrough, since of the resulting models is unnecessarily high for describing the plant dynamics, including non- observable modes, mechanical modelling, electrical models, etc. Based on these researches, some advanced WT simulation tools

Boyer, Edmond

142

N=(4,4) Gauged Linear Sigma Models for Defect Five-branes  

E-Print Network [OSTI]

We study two-dimensional ${\\cal N}=(4,4)$ gauged linear sigma model (GLSM). Its low energy effective theory is a nonlinear sigma model whose target space gives rise to a configuration of five-branes in string theory. In this article we focus on sigma models for NS5-branes, KK5-branes and an exotic $5^2_2$-brane. In particular, we carefully analyze the GLSM for an exotic $5^2_2$-brane whose background configuration is multi-valued. The exotic $5^2_2$-brane is a concrete example of nongeometric configuration in string theory. We find that the exotic feature originates from the string winding coordinate in a very clear way. In order to complete this analysis, we propose a duality transformation formula which converts an ${\\cal N}=(2,2)$ chiral superfield in F-term to a twisted chiral superfield coupled to an unconstrained complex superfield. This article is a short review based on arXiv:1304.4061 in collaboration with Shin Sasaki.

Kimura, Tetsuji

2015-01-01T23:59:59.000Z

143

Generating 24-Hour ECG, BP and Respiratory Signals with Realistic Linear and Nonlinear Clinical Characteristics Using a Nonlinear Model  

E-Print Network [OSTI]

Generating 24-Hour ECG, BP and Respiratory Signals with Realistic Linear and Nonlinear Clinical, London School of Economics, London, UK Abstract A nonlinear model for generating lifelike human ECG it to three ordinary differential equations, the model generates a 24-hour ECG signal. Using both standard

McSharry, Patrick E.

144

Two Species of Vortices in a massive Gauged Non-linear Sigma Model  

E-Print Network [OSTI]

Non-linear sigma models with scalar fields taking values on $\\mathbb{C}\\mathbb{P}^n$ complex manifolds are addressed. In the simplest $n=1$ case, where the target manifold is the $\\mathbb{S}^2$ sphere, we describe the scalar fields by means of stereographic maps. In this case when the $\\mathbb{U}(1)$ symmetry is gauged and Maxwell and mass terms are allowed, the model accommodates stable self-dual vortices of two kinds with different energies per unit length and where the Higgs field winds at the cores around the two opposite poles of the sphere. Allowing for dielectric functions in the magnetic field, similar and richer self-dual vortices of different species in the south and north charts can be found by slightly modifying the potential. Two different situations are envisaged: either the vacuum orbit lies on a parallel in the sphere, or one pole and the same parallel form the vacuum orbit. Besides the self-dual vortices of two species, there exist BPS domain walls in the second case. Replacing the Maxwell contribution of the gauge field to the action by the second Chern-Simons secondary class, only possible in $(2+1)$-dimensional Minkowski space-time, new BPS topological defects of two species appear. Namely, both BPS vortices and domain ribbons in the south and the north charts exist because the vacuum orbit consits of the two poles and one parallel. Formulation of the gauged $\\mathbb{C}\\mathbb{P}^2$ model in a Reference chart shows a self-dual structure such that BPS semi-local vortices exist. The transition functions to the second or third charts break the $\\mathbb{U}(1)\\times\\mathbb{S}\\mathbb{U}(2)$ semi-local symmetry, but there is still room for standard self-dual vortices of the second species. The same structures encompassing $N$ complex scalar fields are easily generalized to gauged $\\mathbb{C}\\mathbb{P}^N$ models.

Alberto Alonso-Izquierdo; Wifredo Garcia Fuertes; Juan Mateos Guilarte

2015-02-03T23:59:59.000Z

145

Predictions of flow through an isothermal serpentine passage with linear eddy-viscosity Reynolds Averaged Navier Stokes models.  

SciTech Connect (OSTI)

Flows with strong curvature present a challenge for turbulence models, specifically eddy viscosity type models which assume isotropy and a linear and instantaneous equilibrium relation between stress and strain. Results obtained from three different codes and two different linear eddy viscosity turbulence models are compared to a DNS simulation in order to gain some perspective on the turbulence modeling capability of SIERRA/Fuego. The Fuego v2f results are superior to the more common two-layer k-e model results obtained with both a commercial and research code in terms of the concave near wall behavior predictions. However, near the convex wall, including the separated region, little improvement is gained using the v2f model and in general the turbulent kinetic energy prediction is fair at best.

Laskowski, Gregory Michael

2005-12-01T23:59:59.000Z

146

Geodesic image regression with a sparse parameterization of diffeomorphisms  

E-Print Network [OSTI]

Geodesic image regression with a sparse parameterization of diffeomorphisms James Fishbaugh1 statistical analysis on longitudinal images. Geodesic models are particularly well suited for statistical, existing geodesic im- age regression models are parameterized by a large number of initial momenta, equal

Gerig, Guido

147

Efficient modelling of particle collisions using a non-linear viscoelastic contact force  

E-Print Network [OSTI]

In this paper the normal collision of spherical particles is investigated. The particle interaction is modelled in a macroscopic way using the Hertzian contact force with additional linear damping. The goal of the work is to develop an efficient approximate solution of sufficient accuracy for this problem which can be used in soft-sphere collision models for Discrete Element Methods and for particle transport in viscous fluids. First, by the choice of appropriate units, the number of governing parameters of the collision process is reduced to one, thus providing a dimensionless parameter that characterizes all such collisions up to dynamic similitude. It is a simple combination of known material parameters as well as initial conditions. A rigorous calculation of the collision time and restitution coefficient from the governing equations, in the form of a series expansion in this parameter is provided. Such a first principles calculation is particularly interesting from a theoretical perspective. Since the governing equations present some technical difficulties, the methods employed are also of interest from the point of view of the analytical technique. Using further approximations, compact expressions for the restitution coefficient and the collision time are then provided. These are used to implement an approximate algebraic rule for computing the desired stiffness and damping in the framework of the adaptive collision model (Kempe & Fr\\"ohlich, J. Fluid Mech., 709: 445-489, 2012). Numerical tests with binary as well as multiple particle collisions are included that illustrate the accuracy of the proposed method and its superiority in terms of numerical efficiency.

Shouryya Ray; Tobias Kempe; Jochen Fröhlich

2015-02-26T23:59:59.000Z

148

High power high linearity waveguide photodiodes : measurement, modeling, and characterization for analog optical links  

E-Print Network [OSTI]

Techniques to Characterize Photodiode Linearity," Int.for Measurement of Photodiode Harmonic Distortion," J.voltage for a PD3000 photodiode, using one, two and three-

Draa, Meredith Nicole

2010-01-01T23:59:59.000Z

149

Gauged Linear Sigma Model with F-term for A-type ALE Space  

E-Print Network [OSTI]

We construct yet another ${\\mathcal N}=(4,4)$ gauged linear sigma model for the $A_N$-type ALE space. In our construction the toric data of the ALE space are manifest. Due to the $SU(2)_R$ symmetry, the F-term is automatically determined. The toric data, which govern the K\\"{a}hler structures of the ALE space, are embedded into $U(1)$ charges of charged hypermultiplets. The F-term is also inevitable to determine the complex structures of the ALE space. In the IR limit, we obtain the K\\"{a}hler potential of the $A_N$-type ALE space. We also find the origin of the ${\\mathbb Z}_{N+1}$ orbifold symmetry in the singular limit of the $A_N$-type ALE space. In a special case, we reproduce an explicit form of the K\\"{a}hler potential of the $A_1$-type ALE space, i.e., the Eguchi-Hanson space.

Tetsuji Kimura; Masaya Yata

2014-04-21T23:59:59.000Z

150

New Advances in Logistic Regression for Handling Missing and Mismeasured Data with Applications in Biostatistics  

E-Print Network [OSTI]

As a probabilistic statistical classification model, logistic regression (or logit regression) is widely used to model the outcome of a categorical dependent variable based on one or more predictor variables/features. We study two problems related...

Miao, Jingang

2014-05-30T23:59:59.000Z

151

A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank Farm Operations  

E-Print Network [OSTI]

1 A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank) formulation for the Tank Farm Operation Problem (TFOP), which involves simultaneous scheduling of continuous multi-product processing lines and the assignment of dedicated storage tanks to finished products

Grossmann, Ignacio E.

152

Calculation of probabilities of transfer, recurrence intervals, and positional indices for linear compartment models. Environmental Sciences Division Publication no. 1544  

SciTech Connect (OSTI)

Six indices are presented for linear compartment systems that quantify the probable pathways of matter or energy transfer, the likelihood of recurrence if the model contains feedback loops, and the number of steps (transfers) through the system. General examples are used to illustrate how these indices can simplify the comparison of complex systems or organisms in unrelated systems.

Carney, J.H.; DeAngelis, D.L.; Gardner, R.H.; Mankin, J.B.; Post, W.M.

1981-02-01T23:59:59.000Z

153

Lagrangian theory of gravitational instability of Friedman-Lemaitre cosmologies - generic third-order model for non-linear clustering  

E-Print Network [OSTI]

The Lagrangian perturbation theory on Friedman-Lemaitre cosmologies investigated and solved up to the second order in earlier papers (Buchert 1992, Buchert \\& Ehlers 1993) is evaluated up to the third order. On its basis a model for non-linear clustering applicable to the modeling of large-scale structure in the Universe for generic initial conditions is formulated. A truncated model is proposed which represents the ``main body'' of the perturbation sequence in the early non-linear regime by neglecting all gravitational sources which describe interaction of the perturbations. However, I also give the irrotational solutions generated by the interaction terms to the third order, which induce vorticity in Lagrangian space. The consequences and applicability of the solutions are put into perspective. In particular, the model presented enables the study of previrialization effects in gravitational clustering and the onset of non-dissipative gravitational turbulence within the cluster environment.

Thomas Buchert

1993-09-30T23:59:59.000Z

154

Topics on Regularization of Parameters in Multivariate Linear Regression  

E-Print Network [OSTI]

are selected. Estimating the degrees of freedom when penalizing the entries of the matrices presents new computational challenges. A simulation study and real data analysis demonstrate that the MRCEII, which selects the tuning parameter of the precision matrix...

Chen, Lianfu

2012-02-14T23:59:59.000Z

155

Investigation of a Linear Model to Describe Hydrologic Phenomenon of Drainage Basins  

E-Print Network [OSTI]

This investigation is concerned with the applicability of the linear convolution relationship for approximating the rainfall-runoff phenomenon for small drainage basins. A solution for the transfer function of the convolution relationship...

Schmer, F. A.

156

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

157

On a three-layer Hele-Shaw model of enhanced oil recovery with a linear viscous profile  

E-Print Network [OSTI]

We present a non-standard eigenvalue problem that arises in the linear stability of a three-layer Hele-Shaw model of enhanced oil recovery. A nonlinear transformation is introduced which allows reformulation of the non-standard eigenvalue problem as a boundary value problem for Kummer's equation when the viscous profile of the middle layer is linear. Using the existing body of works on Kummer's equation, we construct an exact solution of the eigenvalue problem and provide the dispersion relation implicitly through the existence criterion for the non-trivial solution. We also discuss the convergence of the series solution. It is shown that this solution reduces to the physically relevant solutions in two asymptotic limits: (i) when the linear viscous profile approaches a constant viscous profile; or (ii) when the length of the middle layer approaches zero.

Daripa, Prabir; Meneses, Rodrigo

2015-01-01T23:59:59.000Z

158

Extraction of diffuse correlation spectroscopy flow index by integration of Nth-order linear model with Monte Carlo simulation  

SciTech Connect (OSTI)

Conventional semi-infinite solution for extracting blood flow index (BFI) from diffuse correlation spectroscopy (DCS) measurements may cause errors in estimation of BFI (?D{sub B}) in tissues with small volume and large curvature. We proposed an algorithm integrating Nth-order linear model of autocorrelation function with the Monte Carlo simulation of photon migrations in tissue for the extraction of ?D{sub B}. The volume and geometry of the measured tissue were incorporated in the Monte Carlo simulation, which overcome the semi-infinite restrictions. The algorithm was tested using computer simulations on four tissue models with varied volumes/geometries and applied on an in vivo stroke model of mouse. Computer simulations shows that the high-order (N???5) linear algorithm was more accurate in extracting ?D{sub B} (errors?models. Although adding random noises to DCS data resulted in ?D{sub B} variations, the mean values of errors in extracting ?D{sub B} were similar to those reconstructed from the noise-free DCS data. In addition, the errors in extracting the relative changes of ?D{sub B} using both linear algorithm and semi-infinite solution were fairly small (errors?linear algorithm. DCS with the high-order linear algorithm shows the potential for the inter-subject comparison and longitudinal monitoring of absolute BFI in a variety of tissues/organs with different volumes/geometries.

Shang, Yu; Lin, Yu; Yu, Guoqiang, E-mail: guoqiang.yu@uky.edu [Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506 (United States); Li, Ting [Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506 (United States); State Key Laboratory for Electronic Thin Film and Integrated Device, University of Electronic Science and Technology of China, Chengdu 610054 (China); Chen, Lei; Toborek, Michal [Department of Neurosurgery, University of Kentucky, Lexington, Kentucky 40536 (United States)

2014-05-12T23:59:59.000Z

159

KINETIC ANALYSIS OF HIGH-NITROGEN ENERGETIC MATERIALS USING MULTIVARIATE NONLINEAR REGRESSION  

SciTech Connect (OSTI)

New high-nitrogen energetic materials were synthesized by Hiskey and Naud. J. Opfermann reported a new tool for finding the probable model of the complex reactions using multivariate non-linear regression analysis of DSC and TGA data from several measurements run at different heating rates. This study is to take the kinetic parameters from the different steps and discover which reaction step is responsible for the runaway reaction by comparing predicted results from the Frank-Kamenetsckii equation with the critical temperature found experimentally using the modified Henkin test.

Campbell, M. S. (Mary Stinecipher); Rabie, R. L. (Ronald L.); Diaz-Acosta, I. (Irina); Pulay, P. (Peter)

2001-01-01T23:59:59.000Z

160

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

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

LOG HAZARD REGRESSION Huiying Sun  

E-Print Network [OSTI]

LOG HAZARD REGRESSION by Huiying Sun Ph.D, Harbin Institute of Technology, Harbin, CHINA, 1991 .................................................................... .................................................................... .................................................................... .................................................................... THE UNIVERSITY OF BRITISH COLUMBIA September, 1999 c flHuiying Sun, 1999 #12; Abstract We propose using

Heckman, Nancy E.

162

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

163

Vacuum models with a linear and a quadratic term in H: structure formation and number counts analysis  

E-Print Network [OSTI]

We focus on the class of cosmological models with a time-evolving vacuum energy density of the form $\\rho_\\Lambda=C_0+C_1 H+C_2 H^2$, where $H$ is the Hubble rate. Higher powers of $H$ could be important for the early inflationary epoch, but are irrelevant afterwards. We study these models at the background level and at the perturbations level, both at the linear and at the nonlinear regime. We find that those with $C_0=0$ are seriously hampered, as they are unable to fit simultaneously the current observational data on Hubble expansion and the linear growth rate of clustering. This is in contrast to the $C_0\

Adria Gomez-Valent; Joan Sola

2014-12-18T23:59:59.000Z

164

Vacuum models with a linear and a quadratic term in H: structure formation and number counts analysis  

E-Print Network [OSTI]

We focus on the class of cosmological models with a time-evolving vacuum energy density of the form $\\rho_\\Lambda=C_0+C_1 H+C_2 H^2$, where $H$ is the Hubble rate. Higher powers of $H$ could be important for the early inflationary epoch, but are irrelevant afterwards. We study these models at the background level and at the perturbations level, both at the linear and at the nonlinear regime. We find that those with $C_0=0$ are seriously hampered, as they are unable to fit simultaneously the current observational data on Hubble expansion and the linear growth rate of clustering. This is in contrast to the $C_0\

Adria Gomez-Valent; Joan Sola

2015-01-29T23:59:59.000Z

165

II MODEL AND FEEDBACK LINEARIZING CONTROLLER 1 A Multilayer Perceptron Replaces a Feedback  

E-Print Network [OSTI]

in a permanent magnetic field DC Programa de P'os Gradua¸c~ao em Engenharia El'etrica, Pontif'icia Universidade magnetic field DC motor connected to a load via a gear train. The nonlinear load is a shaft with a mass and Feedback Linearizing Controller The servomechanism studied in this research consists of a permanent

Amaral, José Nelson

166

Lattice and off-lattice side chain models of protein folding: Linear time structure prediction better than 86% of optimal  

SciTech Connect (OSTI)

This paper considers the protein structure prediction problem for lattice and off-lattice protein folding models that explicitly represent side chains. Lattice models of proteins have proven extremely useful tools for reasoning about protein folding in unrestricted continuous space through analogy. This paper provides the first illustration of how rigorous algorithmic analyses of lattice models can lead to rigorous algorithmic analyses of off-lattice models. The authors consider two side chain models: a lattice model that generalizes the HP model (Dill 85) to explicitly represent side chains on the cubic lattice, and a new off-lattice model, the HP Tangent Spheres Side Chain model (HP-TSSC), that generalizes this model further by representing the backbone and side chains of proteins with tangent spheres. They describe algorithms for both of these models with mathematically guaranteed error bounds. In particular, the authors describe a linear time performance guaranteed approximation algorithm for the HP side chain model that constructs conformations whose energy is better than 865 of optimal in a face centered cubic lattice, and they demonstrate how this provides a 70% performance guarantee for the HP-TSSC model. This is the first algorithm in the literature for off-lattice protein structure prediction that has a rigorous performance guarantee. The analysis of the HP-TSSC model builds off of the work of Dancik and Hannenhalli who have developed a 16/30 approximation algorithm for the HP model on the hexagonal close packed lattice. Further, the analysis provides a mathematical methodology for transferring performance guarantees on lattices to off-lattice models. These results partially answer the open question of Karplus et al. concerning the complexity of protein folding models that include side chains.

Hart, W.E.; Istrail, S. [Sandia National Labs., Albuquerque, NM (United States). Algorithms and Discrete Mathematics Dept.

1996-08-09T23:59:59.000Z

167

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...

Muendej, Krisanee

2004-11-15T23:59:59.000Z

168

Fracture permeability and seismic wave scattering--Poroelastic linear-slip interface model for heterogeneous fractures  

E-Print Network [OSTI]

modeling of faults and fractures: Geophysics, 60, 1514-1526.Poroelastic modeling of fracture-seismic wave interaction:by a heterogeneous fracture: J. Acoust. Soc. Am. , 115,

Nakagawa, S.

2010-01-01T23:59:59.000Z

169

A Modeling and Filtering Framework for Linear Differential-Algebraic Equations  

E-Print Network [OSTI]

, Dymola, the SimMechanics toolbox for MATLAB, and Modelica [14], [20]. Such modeling software makes

Schön, Thomas

170

Development of a Regression Kriging Model Conditioned with Sequential Gaussian Simulation to Predict the Spatial Distribution of Site Index for The Savannah River Site.  

SciTech Connect (OSTI)

The primary research objective of the project is to determine an optimum model to spatially interpolate point derived tree site index (SI). This optimum model will use relevant data from 635 measured sample points to create continuous 40 meter SI raster layer of entire study extent.

Edwards, Lloyd [USDA Forest Service, Southern Research Station] [USDA Forest Service, Southern Research Station; Parresol, Bernie [USDA Forest Service, Southern Research Station] [USDA Forest Service, Southern Research Station

2012-09-17T23:59:59.000Z

171

A trajectory piecewise-linear approach to model order reduction of nonlinear dynamical systems  

E-Print Network [OSTI]

(cont.) Finally, we present projection schemes which result in improved accuracy of the reduced order TPWL models, as well as discuss approaches leading to guaranteed stable and passive TPWL reduced-order models.

Rewień ski, Michał Jerzy, 1975-

2003-01-01T23:59:59.000Z

172

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

173

Regression analysis with missing data  

E-Print Network [OSTI]

: Statistios REGRESSION ANALYSIS WITH MISS1NG DATA A Thesis FRANK ANTHONY MICHELLI Approved as to style and content by: hairman of o ttee Member Head of Department Member Member Zanuary 196B ACZNOWLED ONE NT S I can only begin to express my sincere...

Michelli, Frank Anthony

1968-01-01T23:59:59.000Z

174

High power high linearity waveguide photodiodes : measurement, modeling, and characterization for analog optical links  

E-Print Network [OSTI]

the layer structure using Silvaco and the thermal analysis708 (2004). Appendix A Silvaco Models All of the equationsthis appendix are from the Silvaco User's Manual Volume I.

Draa, Meredith Nicole

2010-01-01T23:59:59.000Z

175

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...

Son, Kiyoung

2012-07-16T23:59:59.000Z

176

Bounding A Protein's Free Energy In Lattice Models Via Linear Programming  

E-Print Network [OSTI]

in understanding protein structure prediction. In these models, a protein folds to maximize H-H contacts (minimize [4], abstracts the dominant force in protein folding: the hydrophobic interaction. The hydrophobicity of protein folding in the Hydro- phobic-Hydrophilic (HP) model. We formulate several di#11;erent integer

Newman, Alantha

177

A non-linear behavior model for SiC/SiC composites  

SciTech Connect (OSTI)

An interactive analytical model has been developed for modeling the behavior of Continuous Fiber reinforced Ceramic matrix Composites (CFCC). The model integrates a large number of micromechanics solution to problems associated with the microstructure of CFCC materials into an easy to use tool for predicting properties, strengths, and stress states for these materials in unidirectional and laminated forms. Particulate reinforcement and voids can be included in the material description. Inherent in the code is a model for handling the accumulation of micro cracks within the matrix as loading is increased, resulting in a nonlinear stress-strain response of the composite. Sufficient material characteristics are retained within the model to enable sensitivity studies to identify principal causes for material behavior.

Kibler, J.J.; Jones, M.L.; Yen, C.F. [Materials Sciences Corp., Fort Washington, PA (United States)

1995-10-01T23:59:59.000Z

178

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

179

Goodness-of-Fit Test Issues in Generalized Linear Mixed Models  

E-Print Network [OSTI]

. However, in the mixed-effects logistic model, the violation of the assumption of normally distributed random effects may result in inconsistency for estimates of some fixed effects and the variance component of random effects when the variance...

Chen, Nai-Wei

2012-02-14T23:59:59.000Z

180

ab initio Electronic Transport Model with Explicit Solution to the Linearized Boltzmann Transport Equation  

E-Print Network [OSTI]

Accurate models of carrier transport are essential for describing the electronic properties of semiconductor materials. To the best of our knowledge, the current models following the framework of the Boltzmann transport equation (BTE) either rely heavily on experimental data (i.e., semi-empirical), or utilize simplifying assumptions, such as the constant relaxation time approximation (BTE-cRTA). While these models offer valuable physical insights and accurate calculations of transport properties in some cases, they often lack sufficient accuracy -- particularly in capturing the correct trends with temperature and carrier concentration. We present here a general transport model for calculating low-field electrical drift mobility and Seebeck coefficient of n-type semiconductors, by explicitly considering all relevant physical phenomena (i.e. elastic and inelastic scattering mechanisms). We first rewrite expressions for the rates of elastic scattering mechanisms, in terms of ab initio properties, such as the ban...

Faghaninia, Alireza; Lo, Cynthia S

2015-01-01T23:59:59.000Z

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.


181

Non Linear Programming (NLP) Formulation for Quantitative Modeling of Protein Signal Transduction Pathways  

E-Print Network [OSTI]

Modeling of signal transduction pathways plays a major role in understanding cells' function and predicting cellular response. Mathematical formalisms based on a logic formalism are relatively simple but can describe how ...

Mitsos, Alexander

182

Non-Linear Drying Diffusion and Viscoelastic Drying Shrinkage Modeling in Hardened Cement Pastes  

E-Print Network [OSTI]

modeling with an average diffusion coefficient and with determined viscoelastic parameters from creep tests agreed well compared to the shrinkage data from experiments, indicating that drying shrinkage of cement paste may be considered as a poroviscoelastic...

Leung, Chin K.

2010-07-14T23:59:59.000Z

183

Comparison of Single, Double, and Triple Linear Flow Models for Shale Gas/Oil Reservoirs  

E-Print Network [OSTI]

reservoirs effectively. Verification and derivation of asymptotic and associated equations from the Laplace space for dual porosity and triple porosity models are performed in order to generate analysis equations. Theories and practical applications...

Tivayanonda, Vartit

2012-10-19T23:59:59.000Z

184

Effect of Fractionation in Stereotactic Body Radiation Therapy Using the Linear Quadratic Model  

SciTech Connect (OSTI)

Purpose: To examine the fractionation effect of stereotactic body radiation therapy with a heterogeneous dose distribution. Methods: Derived from the linear quadratic formula with measurements from a hypothetical 2-cm radiosurgical tumor, the threshold percentage was defined as (?/?{sub tissue}/?/?{sub tumor}), the balance ?/? ratio was defined as (prescription dose/tissue tolerance*?/?{sub tumor}), and the balance dose was defined as (tissue tolerance/threshold percentage). Results: With increasing fractions and equivalent peripheral dose to the target, the biological equivalent dose of “hot spots” in a target decreases. The relative biological equivalent doses of serial organs decrease only when the relative percentage of its dose to the prescription dose is above the threshold percentage. The volume of parallel organs at risk decreases only when the tumor's ?/? ratio is above the balance ?/? ratio and the prescription dose is lower than balance dose. Conclusions: The potential benefits of fractionation in stereotactic body radiation therapy depend on the complex interplay between the total dose, ?/? ratios, and dose differences between the target and the surrounding normal tissues.

Yang, Jun, E-mail: JunBME@yahoo.com [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States) [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States); Philadelphia Cyberknife, Havertown, Pennsylvania (United States); Lamond, John [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States) [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States); Philadelphia Cyberknife, Havertown, Pennsylvania (United States); Fowler, Jack [Department of Radiation Oncology, University of Wisconsin, Madison, Wisconsin (United States)] [Department of Radiation Oncology, University of Wisconsin, Madison, Wisconsin (United States); Lanciano, Rachelle [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States) [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States); Philadelphia Cyberknife, Havertown, Pennsylvania (United States); Feng, Jing [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States)] [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States); Brady, Luther [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States) [Department of Radiation Oncology, Drexel University, Philadelphia, Pennsylvania (United States); Philadelphia Cyberknife, Havertown, Pennsylvania (United States)

2013-05-01T23:59:59.000Z

185

3-D Model of Broadband Emission from Supernova Remnants Undergoing Non-linear Diffusive Shock Acceleration  

SciTech Connect (OSTI)

We present a 3-dimensional model of supernova remnants (SNRs) where the hydrodynamical evolution of the remnant is modeled consistently with nonlinear diffusive shock acceleration occurring at the outer blast wave. The model includes particle escape and diffusion outside of the forward shock, and particle interactions with arbitrary distributions of external ambient material, such as molecular clouds. We include synchrotron emission and cooling, bremsstrahlung radiation, neutral pion production, inverse-Compton (IC), and Coulomb energy-loss. Boardband spectra have been calculated for typical parameters including dense regions of gas external to a 1000 year old SNR. In this paper, we describe the details of our model but do not attempt a detailed fit to any specific remnant. We also do not include magnetic field amplification (MFA), even though this effect may be important in some young remnants. In this first presentation of the model we don't attempt a detailed fit to any specific remnant. Our aim is to develop a flexible platform, which can be generalized to include effects such as MFA, and which can be easily adapted to various SNR environments, including Type Ia SNRs, which explode in a constant density medium, and Type II SNRs, which explode in a pre-supernova wind. When applied to a specific SNR, our model will predict cosmic-ray spectra and multi-wavelength morphology in projected images for instruments with varying spatial and spectral resolutions. We show examples of these spectra and images and emphasize the importance of measurements in the hard X-ray, GeV, and TeV gamma-ray bands for investigating key ingredients in the acceleration mechanism, and for deducing whether or not TeV emission is produced by IC from electrons or pion-decay from protons.

Lee, Shiu-Hang; Kamae, Tuneyoshi; Ellison, Donald C.

2008-07-02T23:59:59.000Z

186

Documentation of the Tangent Linear and Adjoint Models of New MPI Version of the FSU Global  

E-Print Network [OSTI]

over the optimal interpolation and 3-D data assimilation and con- sidering the ever increasing types of observational data, especially the asynoptic data, 4-D variational data assimilation has attracted more and more(Li, Navon and Zhu 2000). The objective of the 4-D variational data assimilation is to fit the model

Navon, Michael

187

Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models  

E-Print Network [OSTI]

, Matthew J. Beal, and Sam T. Roweis Department of Computer Science University of Toronto Toronto, Ontario, . . . , xn-1), is generated according to some stochastic transition model. We observe y = (y0, . . . , yn-1), with each yt being generated from the corresponding xt according to some stochastic ob- servation process

Roweis, Sam

188

Integrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified Linear Models  

E-Print Network [OSTI]

on dynamic real-time optimization (D- RTO) of waterflooding strategies in petroleum reservoirs haveIntegrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified, the used large-scale, nonlinear, physics-based reservoir models suffer from vast parametric uncertainty

Van den Hof, Paul

189

Linear and Quasilinear Model for Pressure-Driven Interchange and Entropy Modes in a !  

E-Print Network [OSTI]

, the quasilinear particle and heat flux are calculated and show turbulent self-organization that drives profiles that Regulate Interchange Motion Vasyliunas, "Mathematical Models of Magnetospheric Convection and Its Coupling at times of an active magnetospheric dynamo (e.g. during substorms). Figure 3. Dynamo forces, auroral

Mauel, Michael E.

190

Implicit Rate-Type Models for Elastic Bodies: Development, Integration, Linearization and Application  

E-Print Network [OSTI]

much richer class of models than traditional elasticity wherein the Helmholtz potential is utilized, and the relationship between the stress and stretch is governed by a tensor-valued rate equation. For the special case of an isotropic body, we obtain a...

Bridges, Ronald 1980-

2011-08-02T23:59:59.000Z

191

Logistic Regression Applied to Seismic Discrimination  

SciTech Connect (OSTI)

The usefulness of logistic discrimination was examined in an effort to learn how it performs in a regional seismic setting. Logistic discrimination provides an easily understood method, works with user-defined models and few assumptions about the population distributions, and handles both continuous and discrete data. Seismic event measurements from a data set compiled by Los Alamos National Laboratory (LANL) of Chinese events recorded at station WMQ were used in this demonstration study. PNNL applied logistic regression techniques to the data. All possible combinations of the Lg and Pg measurements were tried, and a best-fit logistic model was created. The best combination of Lg and Pg frequencies for predicting the source of a seismic event (earthquake or explosion) used Lg{sub 3.0-6.0} and Pg{sub 3.0-6.0} as the predictor variables. A cross-validation test was run, which showed that this model was able to correctly predict 99.7% earthquakes and 98.0% explosions for this given data set. Two other models were identified that used Pg and Lg measurements from the 1.5 to 3.0 Hz frequency range. Although these other models did a good job of correctly predicting the earthquakes, they were not as effective at predicting the explosions. Two possible biases were discovered which affect the predicted probabilities for each outcome. The first bias was due to this being a case-controlled study. The sampling fractions caused a bias in the probabilities that were calculated using the models. The second bias is caused by a change in the proportions for each event. If at a later date the proportions (a priori probabilities) of explosions versus earthquakes change, this would cause a bias in the predicted probability for an event. When using logistic regression, the user needs to be aware of the possible biases and what affect they will have on the predicted probabilities.

BG Amindan; DN Hagedorn

1998-10-08T23:59:59.000Z

192

A reduced order model for the study of asymmetries in linear gas chromatography for homogeneous tubular columns.  

SciTech Connect (OSTI)

In gas chromatography, a chemical sample separates into its constituent components as it travels along a long thin column. As the component chemicals exit the column they are detected and identified, allowing the chemical makeup of the sample to be determined. For correct identification of the component chemicals, the distribution of the concentration of each chemical along the length of the column must be nearly symmetric. The prediction and control of asymmetries in gas chromatography has been an active research area since the advent of the technique. In this paper, we develop from first principles a general model for isothermal linear chromatography. We use this model to develop closed-form expressions for terms related to the first, second, and third moments of the distribution of the concentration, which determines the velocity, diffusion rate, and asymmetry of the distribution. We show that for all practical experimental situations, only fronting peaks are predicted by this model, suggesting that a nonlinear chromatography model is required to predict tailing peaks. For situations where asymmetries arise, we analyze the rate at which the concentration distribution returns to a normal distribution. Numerical examples are also provided.

Whiting, Joshua J.; Romero, Louis Anthony; Parks, Michael L.

2005-08-01T23:59:59.000Z

193

Adjoint-based linear analysis in reduced order thermo-acoustic models  

E-Print Network [OSTI]

is reported in the supplementary material of Luchini and Bottaro [37]. To find the adjoint operator with the CA approach we have to perform integration by parts of (7). The above relation is an elaboration of the generalized Green’s identity [30, 38... Instabilities in Gas Turbine Engines: Operational Experience, Fundamental Mechanisms, and Modeling. American Institute of Aeronautics and Astronautics, Inc., 2005. [3] F. E. C. Culick. Unsteady motions in combustion chambers for propulsion systems. RTO...

Magri, Luca; Juniper, Matthew P.

2014-09-23T23:59:59.000Z

194

The Econometric Analysis of Interval-valued Data and Adaptive Regression Splines  

E-Print Network [OSTI]

and Miller, D. (2000). Econometric Foundations. CambridgeRegression Models,” Econometric Reviews. Vol. 8, pp. 217-De- pendent Bootstrap,” Econometric Reviews. Vol. 23, pp.

Lin, Wei

2013-01-01T23:59:59.000Z

195

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, Argonne National Laboratory, Argonne, IL, USA b Nuclear Engineering Division, Argonne National Laboratory

Anitescu, Mihai

196

Linear Parameter Varying Model Identification for Control of Rotorcraft-based UAV  

E-Print Network [OSTI]

A rotorcraft-based unmanned aerial vehicle exhibits more complex properties compared to its full-size counterparts due to its increased sensitivity to control inputs and disturbances and higher bandwidth of its dynamics. As an aerial vehicle with vertical take-off and landing capability, the helicopter specifically poses a difficult problem of transition between forward flight and unstable hover and vice versa. The LPV control technique explicitly takes into account the change in performance due to the real-time parameter variations. The technique therefore theoretically guarantees the performance and robustness over the entire operating envelope. In this study, we investigate a new approach implementing model identification for use in the LPV control framework. The identification scheme employs recursive least square technique implemented on the LPV system represented by dynamics of helicopter during a transition. The airspeed as the scheduling of parameter trajectory is not assumed to vary slowly. The exclu...

Budiyono, Agus

2008-01-01T23:59:59.000Z

197

Real-Time Forcast Model Analysis of Daily Average Building Load for a Thermal Storage System Control  

E-Print Network [OSTI]

of a building and three real-time building load forecasting models were developed. They are first-order autogressive model, random walk model and linear regression model. Finally, the comparison of results show the random walk model provides the best...

Song, L.; Joo, I. S.; Guwana, S.

198

WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation  

SciTech Connect (OSTI)

Purpose: Develop a method to subtract fat tissue contributions to wide-angle x-ray scatter (WAXS) signals of breast biopsies in order to estimate the differential linear scattering coefficients ?{sub s} of fatless tissue. Cancerous and fibroglandular tissue can then be compared independent of fat content. In this work phantom materials with known compositions were used to test the efficacy of the WAXS subtraction model. Methods: Each sample 5 mm in diameter and 5 mm thick was interrogated by a 50 kV 2.7 mm diameter beam for 3 min. A 25 mm{sup 2} by 1 mm thick CdTe detector allowed measurements of a portion of the ? = 6° scattered field. A scatter technique provided means to estimate the incident spectrum N{sub 0}(E) needed in the calculations of ?{sub s}[x(E, ?)] where x is the momentum transfer argument. Values of ?{sup ¯}{sub s} for composite phantoms consisting of three plastic layers were estimated and compared to the values obtained via the sum ?{sup ¯}{sub s}{sup ?}(x)=?{sub 1}?{sub s1}(x)+?{sub 2}?{sub s2}(x)+?{sub 3}?{sub s3}(x), where ?{sub i} is the fractional volume of the ith plastic component. Water, polystyrene, and a volume mixture of 0.6 water + 0.4 polystyrene labelled as fibphan were chosen to mimic cancer, fat, and fibroglandular tissue, respectively. A WAXS subtraction model was used to remove the polystyrene signal from tissue composite phantoms so that the ?{sub s} of water and fibphan could be estimated. Although the composite samples were layered, simulations were performed to test the models under nonlayered conditions. Results: The well known ?{sub s} signal of water was reproduced effectively between 0.5 < x < 1.6 nm{sup ?1}. The ?{sup ¯}{sub s} obtained for the heterogeneous samples agreed with ?{sup ¯}{sub s}{sup ?}. Polystyrene signals were subtracted successfully from composite phantoms. The simulations validated the usefulness of the WAXS models for nonlayered biopsies. Conclusions: The methodology to measure ?{sub s} of homogeneous samples was quantitatively accurate. Simple WAXS models predicted the probabilities for specific x-ray scattering to occur from heterogeneous biopsies. The fat subtraction model can allow ?{sub s} signals of breast cancer and fibroglandular tissue to be compared without the effects of fat provided there is an independent measurement of the fat volume fraction ?{sub f}. Future work will consist of devising a quantitative x-ray digital imaging method to estimate ?{sub f} in ex vivo breast samples.

Tang, Robert Y., E-mail: rx-tang@laurentian.ca [Biomolecular Sciences Program, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada); Laamanen, Curtis, E-mail: cx-laamanen@laurentian.ca; McDonald, Nancy, E-mail: mcdnancye@gmail.com [Department of Physics, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada)] [Department of Physics, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada); LeClair, Robert J., E-mail: rleclair@laurentian.ca [Department of Physics, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada and Biomolecular Sciences Program, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada)

2014-05-15T23:59:59.000Z

199

Geodesic Regression on Riemannian Manifolds P. Thomas Fletcher  

E-Print Network [OSTI]

Geodesic Regression on Riemannian Manifolds P. Thomas Fletcher School of Computing, University a manifold-valued random variable and a real-valued independent parameter. The principle is to fit a geodesic is evaluated as the sum-of-squared geodesic distances from the model to the data, and this provides

Boyer, Edmond

200

Is a Direct Numerical Simulation of Chaos or Turbulence Possible: A Study of a Model Non-Linearity  

E-Print Network [OSTI]

There are many subtle issues associated with solving the Navier-Stokes equations. In this paper, several of these issues, which have been observed previously in research involving the Navier-Stokes equations, are studied within the framework of the one-dimensional Kuramoto-Sivashinsky (KS) equation, a model nonlinear partial-differential equation. This alternative approach is expected to more easily expose major points and hopefully identify open questions that are related to the Navier-Stokes equations. In particular, four interesting issues are discussed. The first is related to the difficulty in defining regions of linear stability and instability for a time-dependent governing parameter; this is equivalent to a time-dependent base flow for the Navier-Stokes equations. The next two issues are consequences of nonlinear interactions. These include the evolution of the solution by exciting its harmonics or sub-harmonics (Fourier components) simultaneously in the presence of a constant or a time-dependent governing parameter; and the sensitivity of the long-time solution to initial conditions. The final issue is concerned with the lack of convergent numerical chaotic solutions, an issue that has not been previously studied for the Navier-Stokes equations. The last two issues, consequences of nonlinear interactions, are not commonly known. Conclusions and questions uncovered by the numerical results are discussed. The reasons behind each issue are provided with the expectation that they will stimulate interest in further study.

Lun-Shin Yao

2006-04-17T23:59:59.000Z

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

Quantum Energy Regression using Scattering Transforms  

E-Print Network [OSTI]

We present a novel approach to the regression of quantum mechanical energies based on a scattering transform of an intermediate electron density representation. A scattering transform is a deep convolution network computed with a cascade of multiscale wavelet transforms. It possesses appropriate invariant and stability properties for quantum energy regression. This new framework removes fundamental limitations of Coulomb matrix based energy regressions, and numerical experiments give state-of-the-art accuracy over planar molecules.

Hirn, Matthew; Mallat, Stephane

2015-01-01T23:59:59.000Z

202

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

SciTech Connect (OSTI)

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

203

Software Testing and Maintenance 1 Regression Testing  

E-Print Network [OSTI]

1 Software Testing and Maintenance 1 Regression Testing Introduction Test Selection Test Minimization Test Prioritization Summary Software Testing and Maintenance 2 What is it? Regression testing refers to the portion of the test cycle in which a program is tested to ensure that changes do not affect

Lei, Jeff Yu

204

Regression of Environmental Noise in LIGO Data  

E-Print Network [OSTI]

We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the gravitational-wave channel from the PEM measurements. One of the most promising regression method is based on the construction of Wiener-Kolmogorov filters. Using this method, the seismic noise cancellation from the LIGO GW channel has already been performed. In the presented approach the Wiener-Kolmogorov method has been extended, incorporating banks of Wiener filters in the time-frequency domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also we presents the first results on regression of the bi-coherent noise in the LIGO data.

Tiwari, Vaibhav; Frolov, Valery; Klimenko, Sergey; Mitselmakher, Guenakh; Necula, Valentin; Prodi, Giovanni; Re, Virginia; Salemi, Francesco; Vedovato, Gabriele; Yakushin, Igor

2015-01-01T23:59:59.000Z

205

Regression of Environmental Noise in LIGO Data  

E-Print Network [OSTI]

We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the gravitational-wave channel from the PEM measurements. One of the most promising regression method is based on the construction of Wiener-Kolmogorov filters. Using this method, the seismic noise cancellation from the LIGO GW channel has already been performed. In the presented approach the Wiener-Kolmogorov method has been extended, incorporating banks of Wiener filters in the time-frequency domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also we presents the first results on regression of the bi-coherent noise in the LIGO data.

Vaibhav Tiwari; Marco Drago; Valery Frolov; Sergey Klimenko; Guenakh Mitselmakher; Valentin Necula; Giovanni Prodi; Virginia Re; Francesco Salemi; Gabriele Vedovato; Igor Yakushin

2015-03-25T23:59:59.000Z

206

Sequential Change--Point Detection in GARCH(p; q) Models \\Lambda  

E-Print Network [OSTI]

Sequential Change--Point Detection in GARCH(p; q) Models \\Lambda Istv'an Berkes y A. R 84322­3900, USA We suggest a sequential monitoring scheme to detect changes in the parameters of a GARCH. Unlike for linear regression models, the squared residuals of nonlinear time series models like GARCH do

Kokoszka, Piotr

207

ANALYTICAL EMISSION MODELS FOR SIGNALISED ARTERIALS Bruce Hellinga, Mohammad Ali Khan, and Liping Fu  

E-Print Network [OSTI]

ANALYTICAL EMISSION MODELS FOR SIGNALISED ARTERIALS Bruce Hellinga, Mohammad Ali Khan, and Liping for quantifying vehicle tailpipe emissions. In this paper we present non-linear regression models that can be used for emission data is examined using field data. The proposed models have adjusted R 2 values ranging from 0

Hellinga, Bruce

208

Fast Optimization of Nano-CMOS Voltage-Controlled Oscillator using Polynomial Regression and Genetic Algorithm  

E-Print Network [OSTI]

Fast Optimization of Nano-CMOS Voltage-Controlled Oscillator using Polynomial Regression in a current-starved 50nm voltage-controlled oscillator (VCO). Accurate polynomial-regression based models have-CMOS), Voltage-Controlled Oscillator (VCO). 1. Introduction Digital design exploration and optimization is highly

Mohanty, Saraju P.

209

Regression Based Investigation of Pumping Limits and Springflow Within the Edwards Aquifer  

E-Print Network [OSTI]

Regression Based Investigation of Pumping Limits and Springflow Within the Edwards Aquifer K . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 A Model to Study the Effects of Pumping Limits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Investigation of the Effects of Pumping Allocations on Springflow

McCarl, Bruce A.

210

PENALIZED MULTIVARIATE LOGISTIC REGRESSION WITH A LARGE DATA SET  

E-Print Network [OSTI]

-linear model to build a partly exible model for multivariate Bernoulli data. The joint distribution the association between outcome variables. A numer- ical scheme based on the block one-step SOR-Leibler) distance. It is used to adaptively select smoothing parameters in each block one-step SOR itera- tion

Liblit, Ben

211

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… (more)

Pruna, Giovanni Marco

2011-01-01T23:59:59.000Z

212

Developmental Regression in Children with Down Syndrome  

E-Print Network [OSTI]

This study presents in detail the data on a group of 20 participants, female and male, from 2 to 12 years old with Down syndrome (DS) who experienced developmental regression. This study took place at the Down syndrome clinic at Kennedy Krieger...

Bernad Ripoll, Susana

2011-05-18T23:59:59.000Z

213

Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting  

E-Print Network [OSTI]

Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting Ryan: predictive: daylight harvesting: piecewise linear regression: building energy efficiency Abstract: Smart light levels, discretized by sub-hourly sun angles. Applied on two days of daylight and ten days

Agogino, Alice M.

214

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

SciTech Connect (OSTI)

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

215

Distributed Multivariate Regression Using Wavelet-based Collective Data Mining.  

E-Print Network [OSTI]

an approach to the analysis of distributed, heterogeneous databases with distinct feature spacesDistributed Multivariate Regression Using Wavelet-based Collective Data Mining. Daryl E a method for distributed multivariate regression using wavelet- based Collective Data Mining (CDM

Kargupta, Hilol

216

A Regression Test Selection Technique for Graphical User Interfaces  

E-Print Network [OSTI]

Regression testing is a quality control measure to ensure that the newly modified part of the software still complies with its specified requirements and that the unmodified part has not been affected by the maintenance activity. Regression testing...

Chesser, Carl

2012-08-31T23:59:59.000Z

217

Time-warped Geodesic Regression , Nikhil Singh1  

E-Print Network [OSTI]

Time-warped Geodesic Regression Yi Hong1 , Nikhil Singh1 , Roland Kwitt3 , and Marc Niethammer1,2 1 geodesic regression with parametric time-warps. This allows, for example, to capture saturation effects. We demonstrate that by augmenting geodesic regression with parametric time-warp functions, we can

218

Evaluation of syngas production unit cost of bio-gasification facility using regression analysis techniques  

SciTech Connect (OSTI)

Evaluation of economic feasibility of a bio-gasification facility needs understanding of its unit cost under different production capacities. The objective of this study was to evaluate the unit cost of syngas production at capacities from 60 through 1800Nm 3/h using an economic model with three regression analysis techniques (simple regression, reciprocal regression, and log-log regression). The preliminary result of this study showed that reciprocal regression analysis technique had the best fit curve between per unit cost and production capacity, with sum of error squares (SES) lower than 0.001 and coefficient of determination of (R 2) 0.996. The regression analysis techniques determined the minimum unit cost of syngas production for micro-scale bio-gasification facilities of $0.052/Nm 3, under the capacity of 2,880 Nm 3/h. The results of this study suggest that to reduce cost, facilities should run at a high production capacity. In addition, the contribution of this technique could be the new categorical criterion to evaluate micro-scale bio-gasification facility from the perspective of economic analysis.

Deng, Yangyang; Parajuli, Prem B.

2011-08-10T23:59:59.000Z

219

MONT 102N Environmental Mathematics Lab on Linear Regression, Correlation, and Data Analysis  

E-Print Network [OSTI]

to Plot Residuals and Line Fit and check 1 #12;the box for labels. Press OK and a new "sheet. · To generate the y-versus-x scatter plot, highlight the cells in those columns, then press the Insert tab on the top, look for the Scatter option under the Charts category and press that button. You can experiment

Little, John B.

220

SU(3) Polyakov Linear $\\sigma$-Model in Magnetic Field: Thermodynamics, Higher-Order Moments, Chiral Phase Structure and Meson Masses  

E-Print Network [OSTI]

Effects of external magnetic field on various properties of the quantum chromodynamics under extreme conditions of temperature and density have been analysed. To this end, we use SU(3) Polyakov linear sigma-model and assume that the external magnetic field eB adds some restrictions to the quarks energy due to the existence of free charges in the plasma phase. In doing this, we apply the Landau theory of quantization. This requires an additional temperature to drive the system through the chiral phase-transition. Accordingly, the dependence of the critical temperature of chiral and confinement phase-transitions on the magnetic field is characterized. Based on this, we have studied the thermal evolution of thermodynamic quantities and the first four higher-order moment of particle multiplicity. Having all these calculations, we have studied the effects of magnetic field on chiral phase-transition. We found that both critical temperature T_c and critical chemical potential increase with increasing the magnetic f...

Tawfik, Abdel Nasser

2015-01-01T23:59:59.000Z

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

Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines  

E-Print Network [OSTI]

1 Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines H. In this paper, the MARS technique is applied to forecast the hourly Ontario energy price (HOEP). The MARS models values of the latest pre- dispatch price and demand information, made available by the Ontario

Cañizares, Claudio A.

222

Fast Object Detection By Regression in Robot Soccer Susana Brand~ao  

E-Print Network [OSTI]

Fast Object Detection By Regression in Robot Soccer Susana Brand~ao , Manuela Veloso, and Jo detection, where a given image is efficiently processed in real-time with the learned models. For each image since both task rely on images to provide ground truth for landmarks and objects localization. One

Veloso, Manuela M.

223

What is the Chance that the Equity Premium Varies Evidence from Predictive Regressions  

E-Print Network [OSTI]

Regressions Abstract We examine the evidence on excess stock return predictability in a Bayesian setting by the historical time series of returns and predictor variables. We find that taking into account the stochastic;1 Introduction This paper investigates the evidence in favor of stock return predictability from a model

Kahana, Michael J.

224

acute behavioral regression: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

is to propose a new classification and regression method for challenging highdimensional data. The proposed new technique casts classification problems (class labels as output)...

225

Least Squares Linear Discriminant Analysis Jieping Ye jieping.ye@asu.edu  

E-Print Network [OSTI]

Analysis (LDA) is a well-known method for dimensionality reduc- tion and classification. LDA in the binaryLeast Squares Linear Discriminant Analysis Jieping Ye jieping.ye@asu.edu Department of Computer stud- ies have shown certain relationship between multivariate linear regression and LDA for the multi

Liu, Huan

226

ARTICLE IN PRESS EJMFLU:2254 Please cite this article as: Y. Zheng, H. Struchtrup, A linearization of Mieussens's discrete velocity model for kinetic equations, European  

E-Print Network [OSTI]

, University of Victoria, Victoria, V8W 3P6, Canada Received 14 September 2005; received in revised form 23 March 2006; accepted 31 August 2006 Abstract A linearization is developed for Mieussens's discrete

Struchtrup, Henning

227

Linearized theory of peridynamic states.  

SciTech Connect (OSTI)

A state-based peridynamic material model describes internal forces acting on a point in terms of the collective deformation of all the material within a neighborhood of the point. In this paper, the response of a state-based peridynamic material is investigated for a small deformation superposed on a large deformation. The appropriate notion of a small deformation restricts the relative displacement between points, but it does not involve the deformation gradient (which would be undefined on a crack). The material properties that govern the linearized material response are expressed in terms of a new quantity called the modulus state. This determines the force in each bond resulting from an incremental deformation of itself or of other bonds. Conditions are derived for a linearized material model to be elastic, objective, and to satisfy balance of angular momentum. If the material is elastic, then the modulus state is obtainable from the second Frechet derivative of the strain energy density function. The equation of equilibrium with a linearized material model is a linear Fredholm integral equation of the second kind. An analogue of Poincare's theorem is proved that applies to the infinite dimensional space of all peridynamic vector states, providing a condition similar to irrotationality in vector calculus.

Silling, Stewart Andrew

2009-04-01T23:59:59.000Z

228

Computational dealings in nonlinear spline regression  

E-Print Network [OSTI]

(2. 7) 77 (2) i, k-l ti+k 1-ti (2. 8) N (t) i+1 k 1 t i+1 Substituting (2. 6), (2. 7), and (2. 8) into (2. 5) we obtain: With the B-spline, N. (t) , developed above, it is easy to i, k evaluate a function F(t) for t t [t. , t. ) , where F(t...(x ) ], is minimum. n n As indicated above, our choice for P is a linear combination of B-spline so that for each data point, (xf, ff) , where xf c [t , t 1) F(xf) = ( A N k(xf) i=j-k+1 We will now define an inner product on the span of the N 's i, k by L (2...

Hrncir, Stanley Godfrey

1976-01-01T23:59:59.000Z

229

On the Global Optimality for Linear Constrained Rank Minimization ...  

E-Print Network [OSTI]

Nov 10, 2014 ... Abstract: The rank minimization with linear equality constraints has two closely related models, the low rank approximation model, that is to find ...

Xin Liu

2014-11-10T23:59:59.000Z

230

Feature selection in high dimensional regression problems for genomics  

E-Print Network [OSTI]

Feature selection in high dimensional regression problems for genomics Julie Hamon1,2,3 , Clarisse, France julien.jacques@lifl.fr Abstract. In the context of genomic selection in animal breeding and "closed to real" datasets. Keywords: Feature selection, combinatorial optimization, regression, genomic. 1

Paris-Sud XI, Université de

231

Regression Testing Minimisation, Selection and Prioritisation : A Survey  

E-Print Network [OSTI]

Regression Testing Minimisation, Selection and Prioritisation : A Survey Shin Yoo, Mark Harman King's College London, Centre for Research on Evolution, Search & Testing, Strand, London, WC2R 2LS, UK ABSTRACT Regression testing is a testing activity that is performed to provide confidence that changes do not harm

Singer, Jeremy

232

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil resources resulting in water stress. Effective water management ­ a solution Supply side management Demand side management #12;Developing a regression equation based on cluster analysis for forecasting water

Keller, Arturo A.

233

Fitting Reduced Rank Regression Models by Alternating Maximum Likelihoods  

E-Print Network [OSTI]

to use a new blood sphygmomanometer, at '+ diureticum' thewas high. The new sphygmomanometer gives a considerable

Jan de Leeuw

2011-01-01T23:59:59.000Z

234

Fitting Reduced Rank Regression Models by Alternating Maximum Likelihoods  

E-Print Network [OSTI]

to use a new blood sphygmomanometer, at '+ diureticum' thewas high. The new sphygmomanometer gives a considerable

Leeuw, Jan de

1991-01-01T23:59:59.000Z

235

Large-scale sparse regression models under weak assumptions  

E-Print Network [OSTI]

Sufficient conditions for success . . . . . . . Main result20]. Sufficient conditions for success The high-dimensional

Raskutti, Garvesh

2012-01-01T23:59:59.000Z

236

Large-scale sparse regression models under weak assumptions  

E-Print Network [OSTI]

Sufficient conditions for success . . . . . . . Main result20]. Sufficient conditions for success The high-dimensionalsufficient conditions for the success of ? 1 -relaxations

Raskutti, Garvesh

2012-01-01T23:59:59.000Z

237

Low-Dimensional Models for PCA and Regression  

E-Print Network [OSTI]

Dwight Gasol, Pau Odom, Lamar Hilario, Nene Evans, Jeremyvery highly of Pau Gasol and Lamar Odom, two of Kobe Bryant’

Omidiran, Christian Ladapo

2013-01-01T23:59:59.000Z

238

Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models  

E-Print Network [OSTI]

diagnosed, quantifying the severity of the ab- normality is much more subjective and not a standard part

Washington at Seattle, University of

239

LOCAL LINEAR PID CONTROLLERS FOR NONLINEAR CONTROL  

E-Print Network [OSTI]

1 LOCAL LINEAR PID CONTROLLERS FOR NONLINEAR CONTROL Jing Lan1, Jeongho Cho1, Deniz Erdogmus2, Jos}@cnel.ufl.edu, derdogmus@ieee.org, m.a.motter@larc.nasa.gov Abstract Nonlinear PID design is difficult if one approaches modeling approach with traditional linear PID controller design techniques to arrive at a principled

Slatton, Clint

240

Hierarchical Linear Discriminant Analysis for Beamforming  

E-Print Network [OSTI]

model of h-LDA by relating it to the two-way multivariate analysis of variance (MANOVA), which fits well dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial localization1 Hierarchical Linear Discriminant Analysis for Beamforming Jaegul Choo , Barry L. Drake

Park, Haesun

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

Best Linear Unbiased Estimate Motivation for BLUE  

E-Print Network [OSTI]

1 Chapter 6 Best Linear Unbiased Estimate (BLUE) #12;2 Motivation for BLUE Except for Linear Model to a sub-optimal estimate BLUE is one such sub-optimal estimate Idea for BLUE: 1. Restrict estimate) Advantage of BLUE:Needs only 1st and 2nd moments of PDF Mean & Covariance Disadvantages of BLUE: 1. Sub

Fowler, Mark

242

History of Proton Linear Accelerators  

E-Print Network [OSTI]

much. References 1. Linear Accelerators, edited by P. M .at the 1986 Linear Accelerator Conference, SLAC, Stanford,HISTORY OF PROTON LINEAR ACCELERATORS Luis W. Alvarez TWO-

Alvarez, Luis W.

1987-01-01T23:59:59.000Z

243

Unit I-2 Linear Maps 1 Linear maps  

E-Print Network [OSTI]

Unit I-2 Linear Maps 1 Unit I-2 Linear maps Unit I-2 Linear Maps 2 Linear map · V & U are vector spaces over the same scalars · a function f: VU is a linear map if it preserves the vector space transformation [particularly when f: RnRm] ­ linear operator when f: V V [same v.s.] ­ linear mapping ­ linear

Birkett, Stephen

244

Support graph preconditioners for sparse linear systems  

E-Print Network [OSTI]

Elliptic partial differential equations that are used to model physical phenomena give rise to large sparse linear systems. Such systems can be symmetric positive de?nite and can be solved by the preconditioned conjugate gradients method...

Gupta, Radhika

2005-02-17T23:59:59.000Z

245

The Computational Complexity of Linear Optics  

E-Print Network [OSTI]

We give new evidence that quantum computers---moreover, rudimentary quantum computers built entirely out of linear-optical elements---cannot be efficiently simulated by classical computers. In particular, we define a model ...

Aaronson, Scott

2011-01-01T23:59:59.000Z

246

Joint Quantile Regression through Bayesian Semiparametrics  

E-Print Network [OSTI]

of tropical cyclones in the North Atlantic. Keywords: Bayesian inference, Gaussian process, Tropical cyclones by specifying a separate model for each candidate value of the quantile. In some applications, a unique quantile, it is not at all clear how to combine these separate analysis to form a coherent single view of the effect

247

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

248

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...

Kim, Hyun Sun

2004-11-15T23:59:59.000Z

249

Robust regression on noisy data for fusion scaling laws  

SciTech Connect (OSTI)

We introduce the method of geodesic least squares (GLS) regression for estimating fusion scaling laws. Based on straightforward principles, the method is easily implemented, yet it clearly outperforms established regression techniques, particularly in cases of significant uncertainty on both the response and predictor variables. We apply GLS for estimating the scaling of the L-H power threshold, resulting in estimates for ITER that are somewhat higher than predicted earlier.

Verdoolaege, Geert, E-mail: geert.verdoolaege@ugent.be [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium); Laboratoire de Physique des Plasmas de l'ERM - Laboratorium voor Plasmafysica van de KMS (LPP-ERM/KMS), Ecole Royale Militaire - Koninklijke Militaire School, B-1000 Brussels (Belgium)

2014-11-15T23:59:59.000Z

250

Energy Star for Hospitals 2011 Update: Progression or Regression?  

E-Print Network [OSTI]

Energy Star for Hospitals 2011 Update: Progression or Regression? Brandon E. Travis1 1 Project Manager, SSRCx, 2995 Sidco Drive, Nashville, TN 37204, U.S.A. Email: btravis@ssr-inc.com Abstract: The Energy Star performance rating system...ENERGY STAR for Hospitals 2011 Update: Progression or Regression? Brandon E. Travis October 24, 2012 History of Energy Star Energy Star for Hospitals Critique & Conclusions Outline ? Benchmarks are important ? Energy efficiency void...

Travis, B.

2012-01-01T23:59:59.000Z

251

## R code for fitting various polynomial regressions ## generate some data  

E-Print Network [OSTI]

= sin(2*pi*x) + rnorm(11, sd=0.3) ## plot it plot(x,y) ## fit a linear model lm1 = lm(y~x) ## you can look at the output with, e.g. summary(lm1) ## now fit everything lm10 = lm(y~x +I(x^2)+I(x^3)+I(x^4)+I(x^5)+I(x^6)+I(x^7)+I(x^8)+I(x^9)+I(x^10)) lm9 = lm(y~x +I(x^2)+I(x^3)+I(x^4)+I(x^5)+I(x^6)+I(x^7)+I

Reid, Nancy

252

A FAST ASYMPTOTICALLY EFFICIENT ALGORITHM FOR BLIND SEPARATION OF A LINEAR MIXTURE OF BLOCK-WISE STATIONARY AUTOREGRESSIVE PROCESSES  

E-Print Network [OSTI]

A FAST ASYMPTOTICALLY EFFICIENT ALGORITHM FOR BLIND SEPARATION OF A LINEAR MIXTURE OF BLOCK separation algorithm called Block AutoRegressive Blind Identi cation (BARBI). The al- gorithm to be applicable in blind separation of a linear mixture of speech signals. Index Terms-- Approximate joint

Yeredor, Arie

253

A FAST ASYMPTOTICALLY EFFICIENT ALGORITHM FOR BLIND SEPARATION OF A LINEAR MIXTURE OF BLOCK-WISE STATIONARY AUTOREGRESSIVE PROCESSES  

E-Print Network [OSTI]

A FAST ASYMPTOTICALLY EFFICIENT ALGORITHM FOR BLIND SEPARATION OF A LINEAR MIXTURE OF BLOCK separation algorithm called Block AutoRegressive Blind Identification (BARBI). The al- gorithm to be applicable in blind separation of a linear mixture of speech signals. Index Terms-- Approximate joint

Yeredor, Arie

254

Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models  

E-Print Network [OSTI]

-0645293 (Zhang), DMS-0906497 (Cheng) and DMS-0747575 (Liu), NIH Grants NIH/NCI R01 CA-085848 (Zhang), NIH/NCI R01 CA-149569 (Liu), and NIH/NCI P01 CA142538 (Zhang and Liu). 1 #12;new estimator is established

Zhang, Hao "Helen"

255

automata linear rules: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the same Sontag, Eduardo 25 CHARACTERIZATION OF NON-LINEAR CELLULAR AUTOMATA MODEL FOR PATTERN RECOGNITION Computer Technologies and Information Sciences Websites Summary:...

256

Designing AC Power Grids using Integer Linear Programming  

E-Print Network [OSTI]

Although our linearization forces the power loss to be zero, we can use a dif- ferent approach to sucessfully approximate the power loss. This model is way more.

2011-02-18T23:59:59.000Z

257

Robust Linear Optimization With Recourse  

E-Print Network [OSTI]

We propose an approach to two-stage linear optimization with recourse that does ... Linear optimization with recourse was first introduced by Dantzig in [17] as a ...

2010-05-19T23:59:59.000Z

258

Linear Quantum Feedback Networks  

E-Print Network [OSTI]

The mathematical theory of quantum feedback networks has recently been developed for general open quantum dynamical systems interacting with bosonic input fields. In this article we show, for the special case of linear dynamical systems Markovian systems with instantaneous feedback connections, that the transfer functions can be deduced and agree with the algebraic rules obtained in the nonlinear case. Using these rules, we derive the the transfer functions for linear quantum systems in series, in cascade, and in feedback arrangements mediated by beam splitter devices.

J. Gough; R. Gohm; M. Yanagisawa

2008-07-15T23:59:59.000Z

259

Application of Finite Mixture Models for Vehicle Crash Data Analysis  

E-Print Network [OSTI]

heterogeneity through the use of finite mixture regression models. A Finite mixture of Poisson or NB regression models is especially useful when the count data were generated from a heterogeneous population. To evaluate these models, Poisson and NB mixture...

Park, Byung Jung

2010-07-14T23:59:59.000Z

260

Linear Programming Environmental  

E-Print Network [OSTI]

Linear Program to control air pollution was developed in 1968 by Teller, which minimized cost Fall 2006 #12;Topics · Introduction · Background · Air · Land · Water #12;Introduction · "The United States spends more than 2% of its gross domestic product on pollution control, and this is more than any

Nagurney, Anna

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

Kernel Machine Based Feature Extraction Algorithms for Regression Problems  

E-Print Network [OSTI]

Kernel Machine Based Feature Extraction Algorithms for Regression Problems Csaba Szepesv´ari 1 and Andr´as Kocsor and Korn´el Kov´acs 2 Abstract. In this paper we consider two novel kernel machine based performance of the algorithm. The second algo- rithm combines kernel machines with average derivative

Szepesvari, Csaba

262

Secure computation with horizontally partitioned data using adaptive regression  

E-Print Network [OSTI]

illustrate the protocol with air pollution data. Key words: Confidentiality, Disclosure, Regression, Secure mining with association rules (Kantarcioglu and Clifton, 2002; Vaidya and Clifton, 2002; Evfimievski et- ature on privacy-preserving data mining (Agrawal and Srikant, 2000; Lindell and Pinkas, 2000) contains

Reiter, Jerome P.

263

A Data Partitioning Scheme for Spatial Regression Slobodan Vucetic1  

E-Print Network [OSTI]

A Data Partitioning Scheme for Spatial Regression Slobodan Vucetic1 , Tim Fiez2 and Zoran Obradovic dealing with agricultural problems characterized with strong spatial data correlation. A sim- ple spatial better generalization is proposed. Also, integration of predictors formed from spatially partitioned data

Vucetic, Slobodan

264

Worldwide Oil Production Michaelis-Menten Kinetics Correlation and Regression  

E-Print Network [OSTI]

Worldwide Oil Production Michaelis-Menten Kinetics Topic 4 Correlation and Regression Transformed Variables 1 / 13 #12;Worldwide Oil Production Michaelis-Menten Kinetics Outline Worldwide Oil Production Michaelis-Menten Kinetics Lineweaver-Burke double reciprocal plot 2 / 13 #12;Worldwide Oil Production

Watkins, Joseph C.

265

A Visual Analytics Approach for Correlation, Classification, and Regression Analysis  

E-Print Network [OSTI]

multivariate visual analysis. The current work features an expanded version of MDX that builds on recentA Visual Analytics Approach for Correlation, Classification, and Regression Analysis Chad A. Steeda, Mississippi State University, Stennis Space Center, MS, 39529; cDepartment of Computer Science and Engineering

Swan II, J. Edward

266

Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema  

E-Print Network [OSTI]

Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema Brian Holt, Eng with the extraction of geodesic extrema to find extremities. We show how these approaches are complementary obtained by exploiting the geodesic structure supports accurate estimation of extremal points which cor

Bowden, Richard

267

Geodesic shape regression in the framework of currents  

E-Print Network [OSTI]

Geodesic shape regression in the framework of currents James Fishbaugh1 , Marcel Prastawa1 , Guido fully parameterize the geodesic shape evolution. This is in contrast to previous shape re- gression on the shape space and the corresponding re- gression function. In [5], a piecewise geodesic method has been

Prastawa, Marcel

268

Geodesic shape regression in the framework of currents  

E-Print Network [OSTI]

Geodesic shape regression in the framework of currents James Fishbaugh1 , Marcel Prastawa1 , Guido fully parameterize the geodesic shape evolution. This is in contrast to previous shape re- gression and the corresponding re- gression function. In [5], a piecewise geodesic method has been proposed, which extends

Gerig, Guido

269

Discrete geodesic regression in shape space Benjamin Berkels1  

E-Print Network [OSTI]

Discrete geodesic regression in shape space Benjamin Berkels1 , P. Thomas Fletcher2 , Behrend Benedikt.Wirth@cims.nyu.edu Abstract. A new approach for the effective computation of geodesic re- gression curves in shape spaces is presented. Here, one asks for a geodesic curve on the shape manifold

Rumpf, Martin

270

Regression and Causation: A Critical Examination of Six Econometrics Textbooks  

E-Print Network [OSTI]

Regression and Causation: A Critical Examination of Six Econometrics Textbooks Bryant Chen-1596, USA (310) 825-3243 September 10, 2013 Abstract This report surveys six influential econometric acceptance of the causal content of econometric equations and, uniformly, fail to provide coherent

California at Los Angeles, University of

271

Duality in linearized gravity  

SciTech Connect (OSTI)

We show that duality transformations of linearized gravity in four dimensions, i.e., rotations of the linearized Riemann tensor and its dual into each other, can be extended to the dynamical fields of the theory so as to be symmetries of the action and not just symmetries of the equations of motion. Our approach relies on the introduction of two superpotentials, one for the spatial components of the spin-2 field and the other for their canonically conjugate momenta. These superpotentials are two-index, symmetric tensors. They can be taken to be the basic dynamical fields and appear locally in the action. They are simply rotated into each other under duality. In terms of the superpotentials, the canonical generator of duality rotations is found to have a Chern-Simons-like structure, as in the Maxwell case.

Henneaux, Marc; Teitelboim, Claudio [Physique Theorique et Mathematique and International Solvay Institutes, Universite Libre de Bruxelles, Campus Plaine C. P. 231, B-1050 Brussels (Belgium) and Centro de Estudios Cientificos (CECS), Valdivia (Chile); Centro de Estudios Cientificos (CECS), Valdivia (Chile)

2005-01-15T23:59:59.000Z

272

Combustion powered linear actuator  

DOE Patents [OSTI]

The present invention provides robotic vehicles having wheeled and hopping mobilities that are capable of traversing (e.g. by hopping over) obstacles that are large in size relative to the robot and, are capable of operation in unpredictable terrain over long range. The present invention further provides combustion powered linear actuators, which can include latching mechanisms to facilitate pressurized fueling of the actuators, as can be used to provide wheeled vehicles with a hopping mobility.

Fischer, Gary J. (Albuquerque, NM)

2007-09-04T23:59:59.000Z

273

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

274

Moment-linear stochastic systems and their applications  

E-Print Network [OSTI]

Our work is motivated by the need for tractable stochastic models for complex network and system dynamics. With this motivation in mind, we develop a class of discrete-time Markov models, called moment-linear stochastic ...

Roy, Sandip, 1978-

2003-01-01T23:59:59.000Z

275

Latest Jurassic-early Cretaceous regressive facies, northeast Africa craton  

SciTech Connect (OSTI)

Nonmarine to paralic detrital deposits accumulated in six large basins between Algeria and the Arabo-Nubian shield during major regression in latest Jurassic and Early Cretaceous time. The Ghadames Sirte (north-central Libya), and Northern (Egypt) basins lay along the cratonic margin of northeastern Africa. The Murzuk, Kufra, and Southern (Egypt) basins lay in the south within the craton. Data for reconstructing distribution, facies, and thickness of relevant sequences are adequate for the three northern basins only. High detrital influx near the end of Jurassic time and in mid-Cretaceous time produced regressive nubian facies composed largely of low-sinuosity stream and fahdelta deposits. In the west and southwest the Ghadames, Murzuk, and Kufra basins were filled with a few hundred meters of detritus after long-continued earlier Mesozoic aggradation. In northern Egypt the regressive sequence succeeded earlier Mesozoic marine sedimentation; in the Sirte and Southern basins correlative deposits accumulated on Precambrian and Variscan terranes after earlier Mesozoic uplift and erosion. Waning of detrital influx into southern Tunisia and adjacent Libya in the west and into Israel in the east initiated an Albian to early Cenomanian transgression of Tethys. By late Cenomanian time it had flooded the entire cratonic margin, and spread southward into the Murzuk and Southern basins, as well as onto the Arabo-Nubian shield. Latest Jurassic-earliest Cretaceous, mid-Cretaceous, and Late Cretaceous transgressions across northeastern Africa recorded in these sequences may reflect worldwide eustatic sea-level rises. In contrast, renewed large supply of detritus during each regression and a comparable subsidence history of intracratonic and marginal basins imply regional tectonic control. 6 figures.

van Houten, F.B.

1980-06-01T23:59:59.000Z

276

Original Paper Fully interconnected, linear control  

E-Print Network [OSTI]

Original Paper Fully interconnected, linear control for limit cycle walking Joseph H Solomon1 and simple control methodologies for these models (Collins & Ruina, 2005; Hobbelen & Wisse, 2008a, 2008b. Corresponding author: Joseph H. Solomon, Northwestern University, Department of Mechanical Engineering, 2145

Hartmann, Mitra J. Z.

277

History of Proton Linear Accelerators  

E-Print Network [OSTI]

the board to show why the accelerator couldn't work. Then atmuch. References 1. Linear Accelerators, edited by P. M .at the 1986 Linear Accelerator Conference, SLAC, Stanford,

Alvarez, Luis W.

1986-01-01T23:59:59.000Z

278

Nonlinear GARCH model and 1/f noise  

E-Print Network [OSTI]

Auto-regressive conditionally heteroskedastic (ARCH) family models are still used, by practitioners in business and economic policy making, as a conditional volatility forecasting models. Furthermore ARCH models still are attracting an interest of the researchers. In this contribution we consider the well known GARCH(1,1) process and its nonlinear modifications, reminiscent of NGARCH model. We investigate the possibility to reproduce power law statistics, probability density function and power spectral density, using ARCH family models. For this purpose we derive stochastic differential equations from the GARCH processes in consideration. We find the obtained equations to be similar to a general class of stochastic differential equations known to reproduce power law statistics. We show that linear GARCH(1,1) process has power law distribution, but its power spectral density is Brownian noise-like. However, the nonlinear modifications exhibit both power law distribution and power spectral density of the power ...

Kononovicius, Aleksejus

2014-01-01T23:59:59.000Z

279

Wave functions of linear systems  

E-Print Network [OSTI]

Complete analysis of quantum wave functions of linear systems in an arbitrary number of dimensions is given. It is shown how one can construct a complete set of stationary quantum states of an arbitrary linear system from purely classical arguments. This construction is possible because for linear systems classical dynamics carries the whole information about quantum dynamics.

Tomasz Sowinski

2007-06-05T23:59:59.000Z

280

Positrons for linear colliders  

SciTech Connect (OSTI)

The requirements of a positron source for a linear collider are briefly reviewed, followed by methods of positron production and production of photons by electromagnetic cascade showers. Cross sections for the electromagnetic cascade shower processes of positron-electron pair production and Compton scattering are compared. A program used for Monte Carlo analysis of electromagnetic cascades is briefly discussed, and positron distributions obtained from several runs of the program are discussed. Photons from synchrotron radiation and from channeling are also mentioned briefly, as well as positron collection, transverse focusing techniques, and longitudinal capture. Computer ray tracing is then briefly discussed, followed by space-charge effects and thermal heating and stress due to showers. (LEW)

Ecklund, S.

1987-11-01T23:59:59.000Z

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

Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric Concentrations on Wind Direction  

E-Print Network [OSTI]

Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric Concentrations. #12;1 Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric. * Corresponding author. Submitted to Atmospheric Environment July, 2001. Abstract The relationship

Washington at Seattle, University of

282

The Impact of Test Suite Granularity on the CostEffectiveness of Regression Testing  

E-Print Network [OSTI]

The Impact of Test Suite Granularity on the Cost­Effectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modi#12;cations. The cost-e#11;ective- ness of regression testing techniques varies with characteris- tics of test

Rothermel, Gregg

283

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

284

The Impact of Test Suite Granularity on the Cost-Effectiveness of Regression Testing  

E-Print Network [OSTI]

The Impact of Test Suite Granularity on the Cost-Effectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modi cations. The cost-e ective- ness of regression testing techniques varies with characteris- tics of test

Rothermel, Gregg

285

The Impact of Test Suite Granularity on the CostEffectiveness of Regression Testing  

E-Print Network [OSTI]

The Impact of Test Suite Granularity on the Cost­Effectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modifications. The cost­effective­ ness of regression testing techniques varies with characteris­ tics of test

Rothermel, Gregg

286

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

287

The Application of Program Slicing to Regression Testing David Binkley \\Lambda  

E-Print Network [OSTI]

The Application of Program Slicing to Regression Testing David Binkley \\Lambda Loyola College in Maryland ABSTRACT Software maintainers are faced with the task of regression testing: retesting a program after a modifica­ tion. The goal of regression testing is to ensure that bug fixes and new functionality

Binkley, David W.

288

Cyclic transgressive and regressive sequences, Paleocene Suite, Sirte basin, Libya  

SciTech Connect (OSTI)

The Farrud lithofacies represent the main reservoir rock of the Ghani oil field and Western Concession Eleven of the Sirte basin, Libya. Eight microfacies are recognized in the Farrud lithofacies in the Ghani field area: (1) bryozoan-bioclastic (shallow, warm, normal marine shelf deposits); (2) micrite (suggesting quiet, low-energy conditions such as may have existed in a well-protected lagoon); (3) dasycladacean (very shallow, normal marine environment); (4) bioclastic (very shallow, normal marine environment with moderate to vigorous energy); (5) mgal (very shallow, normal marine environment in a shelf lagoon); (6) pelletal-skeletal (deposition within slightly agitated waters of a sheltered lagoon with restricted circulation); (7) dolomicrite (fenestrate structures indicating a high intertidal environment of deposition); and (8) anhydrite (supratidal environment). The Paleocene suite of the Farrud lithofacies generally shows a prograding, regressive sequence of three facies: (1) supratidal facies, characterized by nonfossiliferous anhydrite, dolomite, and dolomitic pelletal carbonate mudstone; (2) intertidal to very shallow subtidal facies, characterized by fossiliferous, pelletal, carbonate mudstone and skeletal calcarenite; and (3) subtidal facies, characterized by a skeletal, pelletal, carbonate mudstone. Source rocks were primarily organic-rich shales overlying the Farrud reservoir rock. Porosity and permeability were developed in part by such processes as dolomitization, leaching, and fracturing in the two progradational, regressive carbonate facies. Hydrocarbons were trapped by a supratidal, anhydrite cap rock.

Abushagur, S.A.

1986-05-01T23:59:59.000Z

289

Physics at the e+ e- Linear Collider  

E-Print Network [OSTI]

A comprehensive review of physics at an e+e- Linear Collider in the energy range of sqrt{s}=92 GeV--3 TeV is presented in view of recent and expected LHC results, experiments from low energy as well as astroparticle physics.The report focuses in particular on Higgs boson, Top quark and electroweak precision physics, but also discusses several models of beyond the Standard Model physics such as Supersymmetry, little Higgs models and extra gauge bosons. The connection to cosmology has been analyzed as well.

Moortgat-Pick, G; Battaglia, M; Belanger, G; Fujii, K; Kalinowski, J; Heinemeyer, S; Kiyo, Y; Olive, K; Simon, F; Uwer, P; Wackeroth, D; Zerwas, P M; Arbey, A; Asano, M; Bechtle, P; Bharucha, A; Brau, J; Brummer, F; Choi, S Y; Denner, A; Desch, K; Dittmaier, S; Ellis, J; Ellwanger, U; Englert, C; Freitas, A; Ginzburg, I; Godfrey, S; Greiner, N; Grojean, C; Grunewald, M; Heisig, J; Hocker, A; Kanemura, S; Kawagoe, K; Kogler, R; Krawczyk, M; Kronfeld, A S; Kroseberg, J; Liebler, S; List, J; Mahmoudi, F; Mambrini, Y; Matsumoto, S; Mnich, J; Monig, K; Muhlleitner, M M; Poschl, R; Porod, W; Porto, S; Rolbiecki, K; Schlatter, D; Schmitt, M; Serpico, P; Stanitzki, M; Stål, O; Stefaniak, T; Stockinger, D; Wagner, A; Weiglein, G; Wilson, G W; Zeune, L; Moortgat, F; Xella, S

2015-01-01T23:59:59.000Z

290

Physics at the e+ e- Linear Collider  

E-Print Network [OSTI]

A comprehensive review of physics at an e+e- Linear Collider in the energy range of sqrt{s}=92 GeV--3 TeV is presented in view of recent and expected LHC results, experiments from low energy as well as astroparticle physics.The report focuses in particular on Higgs boson, Top quark and electroweak precision physics, but also discusses several models of beyond the Standard Model physics such as Supersymmetry, little Higgs models and extra gauge bosons. The connection to cosmology has been analyzed as well.

G. Moortgat-Pick; H. Baer; M. Battaglia; G. Belanger; K. Fujii; J. Kalinowski; S. Heinemeyer; Y. Kiyo; K. Olive; F. Simon; P. Uwer; D. Wackeroth; P. M. Zerwas; A. Arbey; M. Asano; P. Bechtle; A. Bharucha; J. Brau; F. Brummer; S. Y. Choi; A. Denner; K. Desch; S. Dittmaier; U. Ellwanger; C. Englert; A. Freitas; I. Ginzburg; S. Godfrey; N. Greiner; C. Grojean; M. Grunewald; J. Heisig; A. Hocker; S. Kanemura; K. Kawagoe; R. Kogler; M. Krawczyk; A. S. Kronfeld; J. Kroseberg; S. Liebler; J. List; F. Mahmoudi; Y. Mambrini; S. Matsumoto; J. Mnich; K. Monig; M. M. Muhlleitner; R. Poschl; W. Porod; S. Porto; K. Rolbiecki; M. Schmitt; P. Serpico; M. Stanitzki; O. Stål; T. Stefaniak; D. Stockinger; G. Weiglein; G. W. Wilson; L. Zeune; F. Moortgat; S. Xella

2015-04-07T23:59:59.000Z

291

Winding for linear pump  

DOE Patents [OSTI]

A winding and method of winding for a submersible linear pump for pumping liquid sodium is disclosed. The pump includes a stator having a central cylindrical duct preferably vertically aligned. The central vertical duct is surrounded by a system of coils in slots. These slots are interleaved with magnetic flux conducting elements, these magnetic flux conducting elements forming a continuous magnetic field conduction path along the stator. The central duct has placed therein a cylindrical magnetic conducting core, this core having a cylindrical diameter less than the diameter of the cylindrical duct. The core once placed to the duct defines a cylindrical interstitial pumping volume of the pump. This cylindrical interstitial pumping volume preferably defines an inlet at the bottom of the pump, and an outlet at the top of the pump. Pump operation occurs by static windings in the outer stator sequentially conveying toroidal fields from the pump inlet at the bottom of the pump to the pump outlet at the top of the pump. The winding apparatus and method of winding disclosed uses multiple slots per pole per phase with parallel winding legs on each phase equal to or less than the number of slots per pole per phase. The slot sequence per pole per phase is chosen to equalize the variations in flux density of the pump sodium as it passes into the pump at the pump inlet with little or no flux and acquires magnetic flux in passage through the pump to the pump outlet.

Kliman, Gerald B. (Schenectady, NY); Brynsvold, Glen V. (San Jose, CA); Jahns, Thomas M. (Schenectady, NY)

1989-01-01T23:59:59.000Z

292

Prediction Intervals in Generalized Linear Mixed Models  

E-Print Network [OSTI]

3.1. BLP Based Prediction Intervals………………………………………..……3.2. BP Based Prediction Intervals………………..………………………..……4.1.1. BLP Based Prediction Interval………………………………………. 4.1.2.

Yang, Cheng-Hsueh

2013-01-01T23:59:59.000Z

293

Linear Modeling Optimization for Workload Assignments  

E-Print Network [OSTI]

.2843 X92 0.9082 1.0000 No Upper Limit X95 0.0716 1.0000 No Upper Limit X97 No Lower Limit 1.0000 1.0132 X914 0.9868 1...

Smith, Casey G.

2014-05-16T23:59:59.000Z

294

A computer program for linear models  

E-Print Network [OSTI]

II Z J 8 UJ 0 IU 4- IA Z a 0 IA IU K 2 O 0 Z IZ ?aa C w a 4IOO I- XVV ' ~ V ?I 2 2 J J 58 IL IU 4 4 0 0 4J UJ IU e VJ z UJ e V Z Z J W E 4 ll X RUJW ?I Vl I- I- VI ~ Z V UJ cl cl ZZ aa w V4JRZZ cl 0 ?LIL VV ZZ &I- IUIL a Vl IUW Ww... V I I 0 R H I-I 0 Z ZZ 3 3 0 0 Y Y X R Z IJI I- V I IU Z 0 4. V 4J EII Z Z K 4. Z K J 4. 3 H IU IU 0 $ +ZIU 0 0 N Pl Z I- ? J 4 Z EEI ORVIV 45 I- Z 0 V Z 4 R 0 V Z b H I- Z 0 ? V ? IA 0 IU Z a K?a IA IU ZP) LJ Q...

Zerbe, Manfred Rudolf

2012-06-07T23:59:59.000Z

295

Linear equalities in blackbox optimization ?  

E-Print Network [OSTI]

May 28, 2014 ... extensions to treat problems with linear equalities whose expression is known. The main idea consists in reformulating the optimization ...

Mathilde Peyrega

2014-05-28T23:59:59.000Z

296

Quantization of general linear electrodynamics  

SciTech Connect (OSTI)

General linear electrodynamics allow for an arbitrary linear constitutive relation between the field strength 2-form and induction 2-form density if crucial hyperbolicity and energy conditions are satisfied, which render the theory predictive and physically interpretable. Taking into account the higher-order polynomial dispersion relation and associated causal structure of general linear electrodynamics, we carefully develop its Hamiltonian formulation from first principles. Canonical quantization of the resulting constrained system then results in a quantum vacuum which is sensitive to the constitutive tensor of the classical theory. As an application we calculate the Casimir effect in a birefringent linear optical medium.

Rivera, Sergio; Schuller, Frederic P. [Albert Einstein Institute, Max Planck Institute for Gravitational Physics, Am Muehlenberg 1, 14476 Potsdam (Germany)

2011-03-15T23:59:59.000Z

297

Regression analysis of residential air-conditioning energy consumption at Dhahran, Saudi Arabia  

SciTech Connect (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

298

Linear and nonlinear time series analysis of the black hole candidate Cygnus X-1  

E-Print Network [OSTI]

We analyze the variability in the X-ray lightcurves of the black hole candidate Cygnus X-1 by linear and nonlinear time series analysis methods. While a linear model describes the over-all second order properties of the observed data well, surrogate data analysis reveals a significant deviation from linearity. We discuss the relation between shot noise models usually applied to analyze these data and linear stochastic autoregressive models. We debate statistical and interpretational issues of surrogate data testing for the present context. Finally, we suggest a combination of tools from linear andnonlinear time series analysis methods as a procedure to test the predictions of astrophysical models on observed data.

J. Timmer; U. Schwarz; H. U. Voss; I. Wardinski; T. Belloni; G. Hasinger; M. van der Klis; Juergen Kurths

1999-11-10T23:59:59.000Z

299

Optimization of a dual acting, magnetically driven, linear actuator  

E-Print Network [OSTI]

In this study the geometry of a dual acting, magnetically driven, linear motion actuator will be optimized. This will be accomplished by modeling the system through a set of differential equations to be solved in Matlab. An ANSYS finite element...

Willerton, Justin Ryan

2012-06-07T23:59:59.000Z

300

Linear Supply Function Equilibrium: Generalizations, Application, and Limitations  

E-Print Network [OSTI]

reforms in England and Wales (E&W). Green (1996) used a linear version of this model and applied in the electricity industry. Recent reforms of the electricity industry around the world have stimulated numerous

California at Berkeley. University of

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

The viscoelastic properties of linear-star blends  

E-Print Network [OSTI]

In order to understand the nature of polydispersity and characterize the effect of branching architecture, the model blend of linear and star polymer, which is the simplest branched polymer, is contrived. In this blend system, chain dynamics...

Lee, Jung Hun

2000-01-01T23:59:59.000Z

302

A Visual Analytics Approach for Correlation, Classification, and Regression Analysis  

SciTech Connect (OSTI)

New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today's increasing complex, multivariate data sets. In this paper, a novel visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that addresses the challenges of today's data by combining automated statistical analytics with a highly interactive parallel coordinates based canvas. In addition to several intuitive interaction capabilities, this framework offers a rich set of graphical statistical indicators, interactive regression analysis, visual correlation mining, automated axis arrangements and filtering, and data classification techniques. The current work provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.

Steed, Chad A [ORNL; SwanII, J. Edward [Mississippi State University (MSU); Fitzpatrick, Patrick J. [Mississippi State University (MSU); Jankun-Kelly, T.J. [Mississippi State University (MSU)

2012-02-01T23:59:59.000Z

303

Linear ParameterVarying versus Linear TimeInvariant Control Design for a Pressurized Water Reactor  

E-Print Network [OSTI]

. The plant can thus have widely varying dynamics over the operating range. The controllers designed perform to a description of the problem statement. Section 4 describes the identification and modelling of the plant. Se the worst­case time variation of a measurable parameter which enters the plant in a linear fractional manner

Bodenheimer, Bobby

304

Homogeneous Charge Compression Ignition Free Piston Linear Alternator  

SciTech Connect (OSTI)

An experimental and theoretical investigation of a homogeneous charge compression ignition (HCCI) free piston powered linear alternator has been conducted to determine if improvements can be made in the thermal and conversion efficiencies of modern electrical generator systems. Performance of a free piston engine was investigated using a rapid compression expansion machine and a full cycle thermodynamic model. Linear alternator performance was investigated with a computer model. In addition linear alternator testing and permanent magnet characterization hardware were developed. The development of the two-stroke cycle scavenging process has begun.

Janson Wu; Nicholas Paradiso; Peter Van Blarigan; Scott Goldsborough

1998-11-01T23:59:59.000Z

305

Distributed, Cross-Platform, and Regression Testing Architecture for Service-Oriented Architecture  

E-Print Network [OSTI]

As per leading IT experts, today's large enterprises are going through business transformations. They are adopting service-based IT models such as SOA to develop their enterprise information systems and applications. In fact, SOA is an integration of loosely-coupled interoperable components, possibly built using heterogeneous software technologies and hardware platforms. As a result, traditional testing architectures are no more adequate for verifying and validating the quality of SOA systems and whether they are operating to specifications. This paper first discusses the various state-of-the-art methods for testing SOA applications, and then it proposes a novel automated, distributed, cross-platform, and regression testing architecture for SOA systems. The proposed testing architecture consists of several testing units which include test engine, test code generator, test case generator, test executer, and test monitor units. Experiments conducted showed that the proposed testing architecture managed to use p...

Bassil, Youssef

2012-01-01T23:59:59.000Z

306

MIXED INTEGER LINEAR PROGRAMMING FORMULATION ...  

E-Print Network [OSTI]

Jul 22, 2014 ... multi-commodity network flow problem with piecewise linear costs. ...... [82] IBM ILOG, CPLEX High-performance mathematical programming engine. .... Scheduling of Public Transport Urban Passenger Vehicle and Crew ...

2014-07-22T23:59:59.000Z

307

[New technology for linear colliders  

SciTech Connect (OSTI)

This report discusses the following topics on research of microwave amplifiers for linear colliders: Context in current microwave technology development; gated field emission for microwave cathodes; cathode fabrication and tests; microwave cathode design using field emitters; and microwave localization.

McIntyre, P.M.

1992-08-12T23:59:59.000Z

308

Linear actuator powered flapping wing  

E-Print Network [OSTI]

Small scale unmanned aerial vehicles (UAVs) have proven themselves to be useful, but often too noisy for certain operations due to their rotary motors. This project examined the feasibility of using an almost silent linear ...

Benson, Christopher Lee

2010-01-01T23:59:59.000Z

309

Considering Error Propagation in Stepwise Polynomial Regression Neima Brauner*  

E-Print Network [OSTI]

of thermophysical properties,2 the maximal poly- nomial order for solid, liquid, or gas heat capacity was set as a complete empirical model (heat capacity, for example) or as a complement to theory-based models

Brauner, Neima

310

A linear induction motor conveyer  

E-Print Network [OSTI]

A LINEAR INCUCTION MOTOR CONVEYER A Thesis Kenneth Sheldon. Solinsky Submitted to the Graduate College of Texas AkM University in partial fulfillment of the requirement for the degree of MASTER 07 SCIENCE May 1973 Major Subject: Industrial.... Howie, USAMC-ITC-P/P, Red River Army Depot, Texarkana, Texas 75501. Approved owxe, xe , ro uc o uction Engineering For the Commander ne , grec or, I A LINEAR INDUCTION MOTOR CONVEYER A Thesis by Kenneth Sheldon Solinsky App ved as to style...

Solinsky, Kenneth Sheldon

1973-01-01T23:59:59.000Z

311

Poisson regression analysis of the mortality among a cohort of World War II nuclear industry workers  

SciTech Connect (OSTI)

A historical cohort mortality study was conducted among 28,008 white male employees who had worked for at least 1 month in Oak Ridge, Tennessee, during World War II. The workers were employed at two plants that were producing enriched uranium and a research and development laboratory. Vital status was ascertained through 1980 for 98.1% of the cohort members and death certificates were obtained for 96.8% of the 11,671 decedents. A modified version of the traditional standardized mortality ratio (SMR) analysis was used to compare the cause-specific mortality experience of the World War II workers with the U.S. white male population. An SMR and a trend statistic were computed for each cause-of-death category for the 30-year interval from 1950 to 1980. The SMR for all causes was 1.11, and there was a significant upward trend of 0.74% per year. The excess mortality was primarily due to lung cancer and diseases of the respiratory system. Poisson regression methods were used to evaluate the influence of duration of employment, facility of employment, socioeconomic status, birth year, period of follow-up, and radiation exposure on cause-specific mortality. Maximum likelihood estimates of the parameters in a main-effects model were obtained to describe the joint effects of these six factors on cause-specific mortality of the World War II workers. We show that these multivariate regression techniques provide a useful extension of conventional SMR analysis and illustrate their effective use in a large occupational cohort study.

Frome, E.L.; Cragle, D.L.; McLain, R.W. (Oak Ridge National Laboratory, TN (USA))

1990-08-01T23:59:59.000Z

312

Comparison of open-source linear programming solvers.  

SciTech Connect (OSTI)

When developing linear programming models, issues such as budget limitations, customer requirements, or licensing may preclude the use of commercial linear programming solvers. In such cases, one option is to use an open-source linear programming solver. A survey of linear programming tools was conducted to identify potential open-source solvers. From this survey, four open-source solvers were tested using a collection of linear programming test problems and the results were compared to IBM ILOG CPLEX Optimizer (CPLEX) [1], an industry standard. The solvers considered were: COIN-OR Linear Programming (CLP) [2], [3], GNU Linear Programming Kit (GLPK) [4], lp_solve [5] and Modular In-core Nonlinear Optimization System (MINOS) [6]. As no open-source solver outperforms CPLEX, this study demonstrates the power of commercial linear programming software. CLP was found to be the top performing open-source solver considered in terms of capability and speed. GLPK also performed well but cannot match the speed of CLP or CPLEX. lp_solve and MINOS were considerably slower and encountered issues when solving several test problems.

Gearhart, Jared Lee; Adair, Kristin Lynn; Durfee, Justin D.; Jones, Katherine A.; Martin, Nathaniel; Detry, Richard Joseph

2013-10-01T23:59:59.000Z

313

Cooee bitumen II: Stability of linear asphaltene nanoaggregates  

E-Print Network [OSTI]

Asphaltene and smaller aromatic molecules tend to form linear nanoaggregates in bitumen.Over the years bitumen undergoes chemical aging and during this process, the size of the nanoaggregate increases. This increase is associated with an increase in viscosity and brittleness of the bitumen, eventually leading to road deterioration. This paper focuses on understanding the mechanisms behind nanoaggregate size and stability. We used molecular dynamics simulations to quantify the probability of having a nanoaggregate of a given size in the stationary regime. To model this complicated behavior, we chose first to consider the simple case where only asphaltene molecules are counted in a nanoaggregate. We used a master equation approach and a related statistical mechanics model. The linear asphaltene nanoaggregates behave as a rigid linear chain. The most complicated case where all aromatic molecules are counted in a nanoaggregate is then discussed. The linear aggregates where all aromatic molecules are counted seem ...

Lemarchand, Claire A; Dyre, Jeppe C; Hansen, Jesper S

2014-01-01T23:59:59.000Z

314

E-Print Network 3.0 - applying non-linear dynamics Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of the International Conference on Modeling and Simulation 2006 28 30 August 2006, Konya, TURKEY Summary: the predistortion approach is applied to the linearization of highly...

315

E-Print Network 3.0 - approach investigating non-linear Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

non-smooth non-linear... is investigated. While the su- perposition principle does ... Source: Ecole Polytechnique, Centre de mathmatiques Collection: Mathematics 5 Modelling...

316

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net  

E-Print Network [OSTI]

. Furthermore, un- like the Lasso, the Elastic Net can yield a sparse esti- mate with more than n non-zero477 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net Alexander to regression regulariza- tion called the Pairwise Elastic Net is pro- posed. Like the Elastic Net, it simultane

Low, Steven H.

317

TR-09-09: Regression Testing Minimisation, Selection and Prioritisation -A Survey  

E-Print Network [OSTI]

TR-09-09: Regression Testing Minimisation, Selection and Prioritisation - A Survey Shin Yoo & Mark Harman Centre for Research on Evolution, Search & Testing King's College London Strand, London, WC2R 2LS, UK October 26, 2009 Abstract Regression testing is a testing activity that is performed to provide

Singer, Jeremy

318

Why You Should Care About Quantile Regression Augusto Born de Oliveira  

E-Print Network [OSTI]

demonstrate the successful application of quantile regression, a recent development in statistics, to computer, with the additional benefit of be- ing applicable to data from any distribution. This property makes it especially Evaluation, ANOVA, Quantile Regression 1. Introduction Both academia and industry use performance evaluation

Tomkins, Andrew

319

Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses  

E-Print Network [OSTI]

Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses by David Title of Thesis: Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses I in whole or in part. Any reproduction will not be for commercial use or profit. Signature Date ii #12;Gas

Salvaggio, Carl

320

Uniform strong consistency of a frontier estimator using kernel regression on high order moments  

E-Print Network [OSTI]

Uniform strong consistency of a frontier estimator using kernel regression on high order moments order moments estimator of the frontier of a random pair in- troduced by Girard, S., Guillou, A., Stupfler, G. (2012). Frontier estimation with kernel regression on high order moments. It is shown

Paris-Sud XI, Université de

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

Biholomorphic maps with linear parts having Jordan blocks: linearization and  

E-Print Network [OSTI]

Jordan block. Our main result proves convergence of the linearizing transformation of maps for which the Jordan part of the spectrum lies inside the unit circle and the spectrum satis#12;es a R in (C [x]) n , (1.2) where C [x] stands for the set of all formal power series with complex coe

322

Linear operator inequalities for strongly stable weakly regular linear systems  

E-Print Network [OSTI]

that A has compact resolvent and its eigenvectors form a Riesz basis for the state space, we give an explicit to a spectral factorization problem and to a lin- ear quadratic optimal control problem. More concretely R, which implies that R #21; 0. The associated linear matrix inequality in the unknown self

Curtain, Ruth F.

323

Generalized Linear Modeling (GLM) Approach to Stochastic Weather Generators RICHARD W. KATZ Institute for Study of Society and Environment, NCAR, rwk@ucar.edu EVA M. FURRER Institute for Mathematics Applied to Geosciences, NCAR, eva@ucar.edu  

E-Print Network [OSTI]

) with a transformed conditional mean expressed as a linear function of covariates X1,...,Xp: g E(Y |X1,...,Xp) = 0 +1X. · Markov chain assumption for precipitation occurrence, Jt = 1 if tth day wet, Jt = 0 if tth day dry variables: (Chandler WRR 2002, Env 2005) · Includes geophysical covariates (e.g., NAO) to Stern & Coe-type

Katz, Richard

324

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network [OSTI]

regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

325

REGRESSION ANALYSIS OF QUANTITY DATA WITH EXACT ZEROES #  

E-Print Network [OSTI]

models, weather variables such as wind speed, rainfall, snowfall, and population size (Perry 1981, 1985 or inclined supine the worst, with respect to presence/absence of reflux, mean pH, number of reflux episodes

Smyth, Gordon K.

326

Regression Analysis of Quantity Data with Exact Zeroes  

E-Print Network [OSTI]

, for example threshold models, weather variables such as wind speed, rainfall, snowfall, and population size the best and supine or inclined supine the worst, with respect to presence/absence of reflux, mean p

Smyth, Gordon K.

327

Sparse Convolved Gaussian Processes for Multi-output Regression  

E-Print Network [OSTI]

the concentration of different heavy metal pollutants [5]. Modelling multiple output variables is a challenge as we methodology for synthetic data and real world applications on pollution prediction and a sensor network. 1

Rattray, Magnus

328

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

329

Transformations for densities Linear transformations  

E-Print Network [OSTI]

' & $ % Lecture 28 Transformations for densities Linear transformations 1-1 differentiable functions General transformations Expectation of a function 1 #12;' & $ % Transformations for discrete transformation of a U[0, 1] · Take X U[0, 1], so that fX(x) = 1 0 0 and set Y

Adler, Robert J.

330

Why quantum dynamics is linear  

E-Print Network [OSTI]

Quantum dynamics is linear. How do we know? From theory or experiment? The history of this question is reviewed. Nonlinear generalizations of quantum mechanics have been proposed. They predict small but clear nonlinear effects, which very accurate experiments have not seen. Is there a reason in principle why nonlinearity is not found? Is it impossible? Does quantum dynamics have to be linear? Attempts to prove this have not been decisive, because either their assumptions are not compelling or their arguments are not conclusive. The question has been left unsettled. There is a simple answer, based on a simple assumption. It was found in two steps separated by 44 years. They are steps back to simpler and more compelling assumptions. A proof of the assumptions of the Wigner-Bargmann proof has been known since 1962. It assumes that the maps of density matrices in time are linear. For this step, it is also assumed that density matrices are mapped one-to-one onto density matrices. An alternative is to assume that pure states are mapped one-to-one onto pure states and that entropy does not decrease. In a step taken in 2006, it is proved that the maps of density matrices in time are linear. It is assumed, as in the earlier step, that at each time the physical quantities and states are described by the usual linear structures of quantum mechanics, so the question is only about how things change in time. Beyond that, the proof assumes only that the dynamics does not depend on anything outside the system, but must allow the system to be described as part of a larger system.

Thomas F. Jordan

2007-02-16T23:59:59.000Z

331

Nonlinear Analysis of a Two DOF Piecewise Linear Aeroelastic System  

E-Print Network [OSTI]

.37) For the purpose of numerical simulations the system is presented in the following first order from 1 2 3 4, , ,x y x y x x? ?? ?? ? ? ? (2.38) 2 3eff x x? ? ? ? (2.39) 1 2 2 2 1 2 1 2 3 4 2 4 3 4 4 3 ( ) ( ) l eff l eff x x x p x x p C x x... x p x p x C ? ? ? ? ? ? ? ? ? ? ? ? ? ? (2.40) 18 2.2.2 The piecewise linear aerodynamic model Applying the same scales to the piecewise linear model and substituting into the equations of motion, the following set...

Elgohary, Tarek Adel Abdelsalam

2011-10-21T23:59:59.000Z

332

Support vector regression from simulation data and few experimental samples  

E-Print Network [OSTI]

Institut Pluridisciplinaire de Recherche en Ing´enierie des Syst`emes, M´ecanique, Energ´etique (PRISME), University of Orl. The problem of how to best incorporate the data provided by the simulator, possibly biased, into the learning of the model is addressed. This problem, although particular, is very representative of numerous situations met

Boyer, Edmond

333

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

334

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

335

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

336

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

337

A regression approach to infer electricity consumption of legacy telecom equipment  

E-Print Network [OSTI]

A regression approach to infer electricity consumption of legacy telecom equipment [Extended and communications technology accounts for a significant fraction of worldwide electricity consumption. Given inferring the electricity consumption of different components of the installed base of telecommu- nications

Fisher, Kathleen

338

New Approaches in Testing Common Assumptions for Regressions with Missing Data  

E-Print Network [OSTI]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2.... EFFICIENTLY ESTIMATING THE ERROR DISTRIBUTION IN NON- PARAMETRIC REGRESSION WITH RESPONSES MISSING AT RAN- DOM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1 Efficiency...

Chown, Justin Andrew

2014-07-30T23:59:59.000Z

339

Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors  

E-Print Network [OSTI]

BAYESIAN SEMIPARAMETRIC DENSITY DECONVOLUTION AND REGRESSION IN THE PRESENCE OF MEASUREMENT ERRORS A Dissertation by ABHRA SARKAR Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment... Copyright 2014 Abhra Sarkar ABSTRACT Although the literature on measurement error problems is quite extensive, so- lutions to even the most fundamental measurement error problems like density de- convolution and regression with errors...

Sarkar, Abhra

2014-06-24T23:59:59.000Z

340

The Evolutionary Reduction Principle for Linear Variation in Genetic Transmission  

E-Print Network [OSTI]

The Evolutionary Reduction Principle for Linear Variation in Genetic Transmission Lee Altenberg of modifier gene models, in which a neutral gene is posited to control the transmission of other genes under principle": in a population near equilibrium, a new modifier allele that scales equally all transition

Altenberg, Lee

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

Evolution of Biped Locomotion using Linear Genetic Programming  

E-Print Network [OSTI]

of anthropomorphic bipedal loco- motion is addressed by means of artificial evolution using linear genetic model free evolution of bipedal gaits for a system with high number of degrees of freedom. 1, except when the robot is on a steep slope. Legged robots, on the contrary, lift their feet off the ground

Wolff, Krister

342

Coded Adaptive Linear Precoded Discrete Multitone Over PLC Channel  

E-Print Network [OSTI]

Coded Adaptive Linear Precoded Discrete Multitone Over PLC Channel Fahad Syed Muhammmad, Jean- DMT system is presented in the power line communication (PLC) context with a loading algorithm which spectral density constraint. Using a multipath model of PLC channel, it is shown that the proposed coded

Boyer, Edmond

343

Unit I-4 More about linear maps 1 More about linear maps  

E-Print Network [OSTI]

Unit I-4 More about linear maps 1 Unit I-4 More about linear maps Unit I-4 More about linear maps 2 Using bases to define linear maps · V, U vector spaces · a unique linear map T: V U is determined · if v = a1v1 + ... + anvn then T(v) = a1T(v1) + ... + anT(vn) Unit I-4 More about linear maps 3 Example

Birkett, Stephen

344

Linear Accelerator | Advanced Photon Source  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011Liisa O'Neill About Us LiisaLin WangLinear

345

Duality for Mixed-Integer Linear Programs  

E-Print Network [OSTI]

The theory of duality for linear programs is well-developed and has been ... tended to mixed-integer linear programs, but this has proven difficult, in part because ...

2007-04-05T23:59:59.000Z

346

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

347

Optimization Online - Vector Space Decomposition for Linear ...  

E-Print Network [OSTI]

Feb 26, 2015 ... Abstract: This paper describes a vector space decomposition algorithmic framework for linear programming guided by dual feasibility ...

Jean Bertrand Gauthier

2015-02-26T23:59:59.000Z

348

Repair of overheating linear accelerator  

SciTech Connect (OSTI)

Los Alamos Neutron Science Center (LANSCE) is a proton accelerator that produces high energy particle beams for experiments. These beams include neutrons and protons for diverse uses including radiography, isotope production, small feature study, lattice vibrations and material science. The Drift Tube Linear Accelerator (DTL) is the first portion of a half mile long linear section of accelerator that raises the beam energy from 750 keV to 100 MeV. In its 31st year of operation (2003), the DTL experienced serious issues. The first problem was the inability to maintain resonant frequency at full power. The second problem was increased occurrences of over-temperature failure of cooling hoses. These shortcomings led to an investigation during the 2003 yearly preventative maintenance shutdown that showed evidence of excessive heating: discolored interior tank walls and coper oxide deposition in the cooling circuits. Since overheating was suspected to be caused by compromised heat transfer, improving that was the focus of the repair effort. Investigations revealed copper oxide flow inhibition and iron oxide scale build up. Acid cleaning was implemented with careful attention to protection of the base metal, selection of components to clean and minimization of exposure times. The effort has been very successful in bringing the accelerator through a complete eight month run cycle allowing an incredible array of scientific experiments to be completed this year (2003-2004). This paper will describe the systems, investigation analysis, repair, return to production and conclusion.

Barkley, Walter; Baldwin, William; Bennett, Gloria; Bitteker, Leo; Borden, Michael; Casados, Jeff; Fitzgerald, Daniel; Gorman, Fred; Johnson, Kenneth; Kurennoy, Sergey; Martinez, Alberto; O’Hara, James; Perez, Edward; Roller, Brandon; Rybarcyk, Lawrence; Stark, Peter; Stockton, Jerry

2004-01-01T23:59:59.000Z

349

(Parallel Linear Algebra Package) Jess Cmara Moreno  

E-Print Network [OSTI]

álgebra lineal (Linear Algebra Objects). También permite la utilización de vistas (objetos referenciadosPLAPACK (Parallel Linear Algebra Package) Jesús Cámara Moreno Programación Paralela y Computación Reducción de Vectores Inicialización de PLAPACK. Funciones. Templates. Funciones. Linear Algebra Objects

Giménez, Domingo

350

CPR: Composable Performance Regression for Scalable Multiprocessor Models Benjamin C. Lee  

E-Print Network [OSTI]

utilization cycle by cycle to estimate performance. Multiprocessor simulators, however, must account for synchronization events that in- crease the cost of every cycle simulated and shared resource contention that increases the total number of cycles simulated. These effects cause multiprocessor simulation times to scale

Lee, Benjamin C.

351

Building design and thermal renovation measures proposal by means of regression models issued from dynamic simulations  

E-Print Network [OSTI]

comparison between different energy reduction strategies, like improving the insulation levels or increasing the thermal inertia. An example of their use and a data comparison with a dynamic simulation is shown in last;Nowadays, the most reliable solutions to calculate the energy demand are the simulation energy tools

Boyer, Edmond

352

A regression model predicting the compressive strength of concrete by means of nondestructive, acoustic measurements  

E-Print Network [OSTI]

A sample size of 81, 4" diameter concrete standard cylinders were tested using nondestructive means. These cylinders were collected from three different ready-mix plants across Texas located in Houston, San Antonio and Victoria. The sound...

Pinto, Zeena Blossom

2012-06-07T23:59:59.000Z

353

Bayesian Methods for Cumulative, Sequential and Twostep Ordinal Data Regression Models  

E-Print Network [OSTI]

\\Lambda Bowling Green State University, Bowling Green, USA Siddhartha Chib Washington University, St of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH 43403, USA. Email addresses education, the gender, the race (white or nonwhite), the region of the United States of birth (east, midwest

Albert, James H.

354

auto-regressive neuro-fuzzy model: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

with respect to PID, Fuzzy PD+I controls are presented to validate the controller design. The results presented emphasize that a satisfactory tracking precision could be...

355

Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models  

E-Print Network [OSTI]

for statistical inference. If a sample x1; x2; ; xn of n independent observations are drawn from probability den- sity f( j ), then the likelihood function is defined as L( jx1; x2; ; xn) = nY i=1 f(xij ) : 6 The point estimator b MLE called... the maximum likelihood estimator (MLE) is obtained by maximizing log likelihood function b MLE = argmax log fL( jx1; x2; ; xn)g = argmax nX i=1 log ff(xij )g : For a large sample size, the MLE has the following asymptotic properties: strong...

Sun, Xiuzhen

2011-10-21T23:59:59.000Z

356

Regression Model for Daily Maximum Stream Temperature David W. Neumann1  

E-Print Network [OSTI]

U.S. river basins and elsewhere in the world is that water storage and use for mu- nicipal, industrial, agricultural, and power production purposes leaves river biota with insufficient flow to maintain more rapidly than higher flows. High stream tempera- tures reduce cold water fish populations

Balaji, Rajagopalan

357

Cooling Energy Demand Evaluation by Meansof Regression Models Obtained From Dynamic Simulations  

E-Print Network [OSTI]

The forecast of the energy heating/cooling demand would be a good indicator for the choice between different conception solutions according to the building characteristics and the local climate. A previous study (Catalina T. et al 2008...

Catalina, T.; Virgone, J.

2011-01-01T23:59:59.000Z

358

Essays on Regression Spline Structural Nonparametric Stochastic Production Frontier Estimation and Inefficiency Analysis Models  

E-Print Network [OSTI]

and concavity constraints required by microeconomic theory. However it is inflexible and implies undesired assumptions as well. The Trans-log function is very flexible and does not imply undesired assumptions, yet it is very hard to impose both monotonicity...

Li, Ke

2012-02-14T23:59:59.000Z

359

SEP Request for Approval Form 3 - Other Complex Regression Model Rationale  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l LPROJECTS IN7 Roadmap forDKT. NO. 14-98-LNG3365 |LLCVentureof

360

Governance of the International Linear Collider Project  

SciTech Connect (OSTI)

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

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

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

362

On extreme Bosonic linear channels  

E-Print Network [OSTI]

The set of all channels with fixed input and output is convex. We first give a convenient formulation of necessary and sufficient condition for a channel to be extreme point of this set in terms of complementary channel, a notion of big importance in quantum information theory. This formulation is based on the general approach to extremality of completely positive maps in an operator algebra due to Arveson. We then apply this formulation to prove the main result of this note: under certain nondegeneracy conditions, purity of the environment is necessary and sufficient for extremality of Bosonic linear (quasi-free) channel. It follows that Gaussian channel between finite-mode Bosonic systems is extreme if and only if it has minimal noise.

A. S. Holevo

2011-11-15T23:59:59.000Z

363

Complex geometric optics for symmetric hyperbolic systems I: linear theory  

E-Print Network [OSTI]

We obtain an asymptotic solution for $\\ep \\to 0$ of the Cauchy problem for linear first-order symmetric hyperbolic systems with oscillatory initial values written in the eikonal form of geometric optics with frequency $1/\\ep$, but with complex phases. For the most common linear wave propagation models, this kind on Cauchy problems are well-known in the applied literature and their asymptotic theory, referred to as complex geometric optics, is attracting interest for applications. In this work, which is the first of a series of papers dedicated to complex geometric optics for nonlinear symmetric hyperbolic systems, we develop a rigorous linear theory and set the basis for the subsequent nonlinear analysis.

Omar Maj

2008-02-12T23:59:59.000Z

364

Linear Transformer Ideal Transformer Consider linear and ideal transformers attached to Circuit 1 and Circuit 2.  

E-Print Network [OSTI]

Linear Transformer Ideal Transformer I1 + V2 _ + V1 _ Consider linear and ideal transformers in linear transformer equations for :MLL ,, 21 ( ) ( ) ( ) ( ) ( ) ( ) 12212212 2 1 112 2 12 2 1 2212 2 PP Now solve the linear transformer equations for the currents: 1 212 2 22 2 1 2 1 212 2 22 12 2 2 2

Kozick, Richard J.

365

6, 66276694, 2006 linearized ozone  

E-Print Network [OSTI]

Parameterization (CHEM2D-OPP) for high- altitude numerical weather prediction (NWP) systems and climate models meteorological centers have extended the vertical20 range of their numerical weather prediction (NWP) and data parameterization for high-altitude NWP and climate models J. P. McCormack1 , S. D. Eckermann1 , D. E. Siskind1

Boyer, Edmond

366

Dereverberation by linear systems techniques  

E-Print Network [OSTI]

and thus the behavior of the water model is determined. In a similar manner, all the co. fiicients of the imouls. . response of the earth are determined. VI, CONCLUSION This thesis has developed a linea?, recursive model for a reverb rating =ystem...

Schell, John August

1970-01-01T23:59:59.000Z

367

An application of ratio and regression estimation to a forest land ownership project  

E-Print Network [OSTI]

AN APPLICATION OF RATIO AND REGRESSION ESTIMATION TO A FOREST LAND OWNERSHIP PROJECT A Thesis By DAVID LYNN MINALDI Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE May 1967 Major Subject: Statistics AN APPLICATION OF RATIO AND REGRESSION ESTIMATION TO A FOREST LAND OWNERSHIP PROJECT A Thesis By DAVID I YNN MINALDI Approve as t~~ye and content by: ( (Chai(man f - mmittee) (Member) (Head...

Minaldi, David Lynn

1967-01-01T23:59:59.000Z

368

Estimating lower winds aloft at Houston, Texas, using a spatial vector regression technique  

E-Print Network [OSTI]

methods, to obtain estimates of the 500-m, 1000-m, 1500-m, and 2000-m winds from the surface winds at Houston, 17 3. To evaluate the results obtained using Scott's and Durst's methods for both vertical and horizontal wind regression. In selecting a..., Asheville, North Carolina. Wir;0 c!izei tio? !era!) gii en in 16 points of )he conpas and wind speed ! r& r!p The results obtained by regressing th' Rousto)z winds on thc winds at L, ice (. 'n& r) es& Louisiana, are superi or for all mont(os ancl all...

Zumwalt, James Tweed

2012-06-07T23:59:59.000Z

369

Mapping microphytobenthos biomass by non-linear inversion of visible-infrared hyperspectral images  

E-Print Network [OSTI]

- 1 - Mapping microphytobenthos biomass by non-linear inversion of visible-infrared hyperspectral-Philippe.Combe@chimie.univ-nantes.fr Abstract This study presents an innovative approach to map microphytobenthos biomass and fractional cover to microscale intimate mixtures. This prevents the use of classical linear unmixing models to retrieve biomass

Combe, Jean-Philippe

370

Workshop on Linear Logic Geometry of Interaction, Traced Monoidal Categories and Implicit Complexity  

E-Print Network [OSTI]

on Linear Logic Geometry of Interaction, Traced Monoidal Categories and Implicit Complexity of Interaction for Polarized Linear Logic We present a Geometry of Interaction (GoI) model for the multiplicative & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & Date: 7th November 2011 ­ 11th November 2011 Venue: Room 110, Faculty of Science Building No.3, Kyoto

Banbara, Mutsunori

371

Mean-Variance Optimal Linear Precoders for Random MISO Broadcast Channels  

E-Print Network [OSTI]

Mean-Variance Optimal Linear Precoders for Random MISO Broadcast Channels Alon Shalev Housfater the problem of designing linear pre- coders for Gaussian multiple input, single output (MISO) broad- cast (BC and constraint functions. I. INTRODUCTION Random MISO BC channels are powerful models for the practical scenario

Lim, Teng Joon

372

LS-SVM based regression and spectral clustering for predicting maintenance of machines  

E-Print Network [OSTI]

with sensory3 faults have been used [? ],[? ],[? ]: corrective maintenance, preventive main-4 tenance, manual the machine fails, it is expensive and6 safety and environmental issues arise. Preventive maintenance is basedLS-SVM based regression and spectral clustering for predicting maintenance of machines Rocco

373

Harnessing Web-based Application Similarities to Aid in Regression Testing Kinga Dobolyi and Westley Weimer  

E-Print Network [OSTI]

for reducing the number of false positives associated with regression testing such applications, simultaneously focusing on returning all true positives. Our approach predicts which test cases merit human inspection, security, and availability requirements [20], which translates into well-designed and well-tested software

Weimer, Westley

374

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net  

E-Print Network [OSTI]

, the Elastic Net can yield a sparse esti- mate with more than n non-zero weights (Efron et al., 2004). One canExploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net Alexander Lorbert- tion called the Pairwise Elastic Net is pro- posed. Like the Elastic Net, it simultane- ously performs

Blei, David M.

375

A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China  

E-Print Network [OSTI]

A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China t There is an increasing demand for improving spatial resolution of climate data. However, an increase in resolution does spatial data of monthly mean temperature and monthly precipitation at a national scale in mainland China

Pittendrigh, Barry

376

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

E-Print Network [OSTI]

Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit Wanyu R. Chan, Jeffrey,000 single-family detached homes have sufficient information for the analysis of air leakage in relation variability in normalized leakage. ResDB also contains the before and after retrofit air leakage measurements

377

A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator  

E-Print Network [OSTI]

A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic database containing sample data is used for simulation purposes. Keywords--Photovoltaic generator, SVR, k-NNR, reversed polarity fault, diagnosis, prognosis. NOMENCLATURE PV = Photovoltaic; SVM = Support Vector

Paris-Sud XI, Université de

378

Localized Regression Analysis as a Method for Detecting Erroneous Measurements in Geospatial  

E-Print Network [OSTI]

Localized Regression Analysis as a Method for Detecting Erroneous Measurements in Geospatial at El Paso, El Paso, TX 79968, USA Abstract Geospatial databases generally consist of measurements dealing with many other types of point data. Keywords: Geospatial Databases; Error Detection; Gravity Data

Ward, Karen

379

Practical 3(a): Case Studies in Poisson Regression Practical 3(a): Case Studies in Poisson  

E-Print Network [OSTI]

randomised to 6 different schools #12;Practical 3(a): Case Studies in Poisson Regression Outline questions: Shaper et al. (1988, Lancet) describe a cohort study of a random sample of 7729 middle-aged British men-economic background Interventions: Control (3), Oral health education (1), Enrichment of the school diet with rice

Boehning, Dankmar

380

Frontier estimation via kernel regression on high power-transformed data  

E-Print Network [OSTI]

Frontier estimation via kernel regression on high power-transformed data S´ephane Girard(1 Abstract We present a new method for estimating the frontier of a multidimensional sample. The estimator is illustrated on some finite sample situations. Keywords: kernel estimator, power-transform, frontier estimation

Paris-Sud XI, Université de

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

Teasing Out the Effect of Tutorials via Multiple Regression Stephanie V. Chasteen  

E-Print Network [OSTI]

Teasing Out the Effect of Tutorials via Multiple Regression Stephanie V. Chasteen Science Education instruction, did not achieve the same impacts. Keywords: physics education research, course reform, electricity and magnetism, assessment PACS: 01.30.Ib, 01.40.Di, 01.40.Fk, 01.40.G-, 01.40.gb INTRODUCTION

Colorado at Boulder, University of

382

A Functional Regression Approach for Prediction in a District-Heating System  

E-Print Network [OSTI]

A Functional Regression Approach for Prediction in a District-Heating System Aldo Goia Dipartimento in a district heating sys- tem. Our dataset consists of four separated periods, with 198 days each period and 24 load forecasting, district heat- ing system Introduction Among the activities of support

Paris-Sud XI, Université de

383

Nonparametric Regression for Geographic Visualization and Analysis of Environmental Policy Gerald Whittaker  

E-Print Network [OSTI]

Nonparametric Regression for Geographic Visualization and Analysis of Environmental Policy Gerald August 9-13, 1998. The views expressed are the author's, and do not necessarily represent policies; averaged shifted histogram; environmental economics The U.S. Department of Agriculture administers

Scott, David W.

384

Spatially Penalized Regression for Extremes Dependence Analysis and Prediction: Case of Precipitation Extremes  

E-Print Network [OSTI]

Spatially Penalized Regression for Extremes Dependence Analysis and Prediction: Case of Precipitation Extremes Debasish Das1,2 , Auroop R. Ganguly1 , Snigdhansu Chatterjee3 , Vipin Kumar4 , Zoran@cs.umn.edu, zoran.obradovic@temple.edu. ABSTRACT The inability to predict precipitation extremes under non

Obradovic, Zoran

385

Summer 2012 Mathematics 317, Linear Algebra  

E-Print Network [OSTI]

or download a .pdf version for use on a Kindle or Sony Reader or a printable .pdf version. You do not need://linear.ups.edu/xml/latest/fcla-xml-latest.xml Amazon Kindle DX format (optimized PDF): http://linear.ups.edu/download/fcla-kindleDX-2.30.pdf SONY Reader format (optimized PDF for PRS-500, PRS-505): http://linear.ups.edu/download/fcla-sony505-2.30.pdf

Long, Nicholas

386

International Workshop on Linear Colliders 2010  

ScienceCinema (OSTI)

IWLC2010 International Workshop on Linear Colliders 2010ECFA-CLIC-ILC joint meeting: Monday 18 October - Friday 22 October 2010Venue: CERN and CICG (International Conference Centre Geneva, Switzerland) This year, the International Workshop on Linear Colliders organized by the European Committee for Future Accelerators (ECFA) will study the physics, detectors and accelerator complex of a linear collider covering both CLIC and ILC options.Contact Workshop Secretariat  IWLC2010 is hosted by CERN

None

2011-10-06T23:59:59.000Z

387

ASYMPTOTIC THEORY FOR A VECTOR ARMA-GARCH MODEL  

E-Print Network [OSTI]

ASYMPTOTIC THEORY FOR A VECTOR ARMA-GARCH MODEL SHHHIIIQQQIIINNNGGG LIIINNNGGG Hong Kong University conditional heteroskedasticity ~ARMA- GARCH! model+ The conditions for the strict stationarity, the ergodicity for the univariate auto- regressive conditional heteroskedasticity ~ARCH! and GARCH models+ More- over

Ling, Shiqing

388

Limited Dependent Variable Correlated Random Coefficient Panel Data Models  

E-Print Network [OSTI]

OF CONTENTS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : vii LIST OF TABLES : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : ix 1. INTRODUCTION : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 1.1 Linear Models... : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 1.2 Binary Response Models : : : : : : : : : : : : : : : : : : : : : : : : : 3 1.3 Truncated Models : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 6 2. LINEAR CRC PANEL DATA MODELS : : : : : : : : : : : : : : : : : : 8 2.1...

Liang, Zhongwen

2012-10-19T23:59:59.000Z

389

Ultra-high vacuum photoelectron linear accelerator  

DOE Patents [OSTI]

An rf linear accelerator for producing an electron beam. The outer wall of the rf cavity of said linear accelerator being perforated to allow gas inside said rf cavity to flow to a pressure chamber surrounding said rf cavity and having means of ultra high vacuum pumping of the cathode of said rf linear accelerator. Said rf linear accelerator is used to accelerate polarized or unpolarized electrons produced by a photocathode, or to accelerate thermally heated electrons produced by a thermionic cathode, or to accelerate rf heated field emission electrons produced by a field emission cathode.

Yu, David U.L.; Luo, Yan

2013-07-16T23:59:59.000Z

390

Optimization Online - Linear equalities in blackbox optimization  

E-Print Network [OSTI]

May 28, 2014 ... ... neither in theory nor in practice. The present work proposes extensions to treat problems with linear equalities whose expression is known.

Charles Audet

2014-05-28T23:59:59.000Z

391

LED Replacements for Linear Fluorescent Lamps Webcast  

Broader source: Energy.gov [DOE]

In this June 20, 2011 webcast on LED products marketed as replacements for linear fluorescent lamps, Jason Tuenge of the Pacific Northwest National Laboratory (PNNL) discussed current Lighting...

392

Elastic Wave Behavior Across Linear Slip Interfaces  

E-Print Network [OSTI]

plane waves incident at arbitrary angles upon a plane linear slip interface are computed ... Also included in these sections is an analysis ... ish, Ut is of the form.

Schoenberg, M.

393

Optimization Online - Accelerated Linearized Bregman Method  

E-Print Network [OSTI]

Jun 27, 2011 ... Abstract: In this paper, we propose and analyze an accelerated linearized Bregman (ALB) method for solving the basis pursuit and related ...

Bo Huang

2011-06-27T23:59:59.000Z

394

Stochastic linear programming games with concave preferences  

E-Print Network [OSTI]

We study stochastic linear programming games: a class of stochastic ... which include minimum cost spanning trees (Granot and Huberman 1981) as a special

2014-12-04T23:59:59.000Z

395

Linear conic optimization for nonlinear optimal control  

E-Print Network [OSTI]

Jul 7, 2014 ... 3Faculty of Electrical Engineering, Czech Technical University in Prague, ..... This linear transport equation is classical in fluid mechanics, ...

2014-07-07T23:59:59.000Z

396

Subcritical Fission Reactor Based on Linear Collider  

E-Print Network [OSTI]

The beams of Linear Collider after main collision can be utilized to build an accelerator--driven sub--critical reactor.

I. F. Ginzburg

2005-07-29T23:59:59.000Z

397

Linear dependence of exponentials - Department of Mathematics ...  

E-Print Network [OSTI]

in the books of the Russian mathematician A. Leontiev. Dear Steven and Sherman,. I recently saw the problem on “linear independence of exponentials”.

2012-09-30T23:59:59.000Z

398

Linear PM Generator for Wave Energy Conversion.  

E-Print Network [OSTI]

??The main objective of this thesis is to design a selected version of linear PM generator and to determine the electromechanical characteristics at variable operating… (more)

Parthasarathy, Rajkumar

2012-01-01T23:59:59.000Z

399

Siting the International Linear Collider at Hanford  

SciTech Connect (OSTI)

Review of the proposed International Linear Collider, applications in high energy physics, and evaluation of the Hanford Site as a possible location for siting the facilityl.

Kouzes, Richard T.; Asner, David M.; Brodzinski, Ronald L.; Fast, James E.; Miley, Harry S.

2012-03-15T23:59:59.000Z

400

Siting the International Linear Collider at Hanford  

SciTech Connect (OSTI)

Review of the proposed International Linear Collider, applications in high energy physics, and evaluation of the Hanford Site as a possible location for siting the facility.

Kouzes, Richard T.; Asner, David M.; Brodzinski, Ronald L.; Fast, James E.; Miley, Harry S.

2012-05-01T23:59:59.000Z

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

Linear Functionals in ECG and Diplomarbeit  

E-Print Network [OSTI]

Linear Functionals in ECG and VCG Diplomarbeit zur Erlangung des akademischen Grades Diplom . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5. 12-lead ECG . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2. Heart

Münster, Westfälische Wilhelms-Universität

402

LINEAR APPROXIMATION OF OPEN-CHANNEL FLOW ROUTING WITH BACKWATER EFFECT  

E-Print Network [OSTI]

available methods are derived from either kinematic wave or diffusion analogy models. Different linear to a local feedback between the discharge and the water level deviations. A moment matching method

Paris-Sud XI, Université de

403

Bearing options, including design and testing, for direct drive linear generators in wave energy converters   

E-Print Network [OSTI]

The key focus of this research was to investigate the bearing options most suited to operation in a novel direct drive linear generator. This was done through bearing comparisons, modelling and testing. It is fundamental ...

Caraher, Sarah

2011-11-22T23:59:59.000Z

404

Rate Transient Analysis in Shale Gas Reservoirs with Transient Linear Behavior  

E-Print Network [OSTI]

. ............................................................................... 31 3.6 Comparison of Linear Model (homogeneous, zero skin ,closed) with Fekete, ECLIPSE and Ozkan Laplace Solution................................ 33 4.1 Effect of ? and ?Ac on Linear Model Response (yDe = 1..., ?Ac =10-4, ? = 10-5)...................................................................................... 47 4.6 Effect of yDe (Case A ? slab matrix dual porosity, constant pwf, closed).... 48 4.7 Effect of yDe (Case B ? slab matrix dual...

Bello, Rasheed O.

2010-07-14T23:59:59.000Z

405

NONEQUILIBRIUM LINEAR BEHAVIOR OF BIOLOGICAL SYSTEMS  

E-Print Network [OSTI]

-phosphorylation in mitochondria (2, 3), sodium transport in frog skin, toad bladder (4) and toad skin (5), and hydrogen ion transport in turtle bladder (6). Linearity has also been noted in a synthetic membrane exhibiting active transport (7). (Linearity as used in these papers and here implies the flow, J, is related to the force, A1

Stanley, H. Eugene

406

Architecture of an Automatic Tuned Linear Algebra  

E-Print Network [OSTI]

/01 and PI-34/00788/F5/01. #12;Hierarchical Architecture of a Self-Optimised Lineal Algebra LibraryArchitecture of an Automatic Tuned Linear Algebra Library* Javier Cuenca Domingo Giménez José .... SPt c,z Architecture of a Self-Optimised Linear Algebra Routine (SOLAR) Installation_information n1

Giménez, Domingo

407

Voltage regulation in linear induction accelerators  

DOE Patents [OSTI]

Improvement in voltage regulation in a Linear Induction Accelerator wherein a varistor, such as a metal oxide varistor, is placed in parallel with the beam accelerating cavity and the magnetic core. The non-linear properties of the varistor result in a more stable voltage across the beam accelerating cavity than with a conventional compensating resistance.

Parsons, William M. (Santa Fe, NM)

1992-01-01T23:59:59.000Z

408

Voltage regulation in linear induction accelerators  

DOE Patents [OSTI]

Improvement in voltage regulation in a linear induction accelerator wherein a varistor, such as a metal oxide varistor, is placed in parallel with the beam accelerating cavity and the magnetic core is disclosed. The non-linear properties of the varistor result in a more stable voltage across the beam accelerating cavity than with a conventional compensating resistance. 4 figs.

Parsons, W.M.

1992-12-29T23:59:59.000Z

409

Soft materials for linear electromechanical energy conversion  

E-Print Network [OSTI]

We briefly review the literature of linear electromechanical effects of soft materials, especially in synthetic and biological polymers and liquid crystals (LCs). First we describe results on direct and converse piezoelectricity, and then we discuss a linear coupling between bending and electric polarization, which maybe called bending piezoelectricity, or flexoelectricity.

Antal Jakli; Nandor Eber

2014-07-29T23:59:59.000Z

410

Decomposing Linear Programs for Parallel Solution?  

E-Print Network [OSTI]

Decomposing Linear Programs for Parallel Solution? Ali P nar, Umit V. Catalyurek, Cevdet Aykanat in the solution of Linear Programming (LP) problems with block angular constraint matrices has been exploited industrial applications and the advent of powerful computers have in- creased the users' ability to formulate

�atalyürek, �mit V.

411

Decomposing Linear Programs for Parallel Solution ?  

E-Print Network [OSTI]

Decomposing Linear Programs for Parallel Solution ? Ali Pinar, ¨ Umit V. C¸ ataly¨urek, Cevdet in the solution of Linear Programming (LP) problems with block angular constraint matrices has been exploited with successful industrial applications and the advent of powerful computers have in­ creased the users' ability

�atalyürek, �mit V.

412

On linear programing approach to inventory control  

E-Print Network [OSTI]

On linear programing approach to inventory control problems Zhu received his PhD from Wayne State with inventory control problems under the discounted criterion. The objective is to minimize the discounted total imbeds the inventory control problem into an infinite-dimensional linear program over a space of measures

Mayfield, John

413

Company Name: Linear Technology Corporation Web Site: www.linear.com  

E-Print Network [OSTI]

Company Name: Linear Technology Corporation Web Site: www.linear.com Industry: Semiconductor Brief worldwide for three decades. The Company's products provide an essential bridge between our analog world

New Hampshire, University of

414

Assumptions that imply quantum dynamics is linear  

E-Print Network [OSTI]

A basic linearity of quantum dynamics, that density matrices are mapped linearly to density matrices, is proved very simply for a system that does not interact with anything else. It is assumed that at each time the physical quantities and states are described by the usual linear structures of quantum mechanics. Beyond that, the proof assumes only that the dynamics does not depend on anything outside the system but must allow the system to be described as part of a larger system. The basic linearity is linked with previously established results to complete a simple derivation of the linear Schrodinger equation. For this it is assumed that density matrices are mapped one-to-one onto density matrices. An alternative is to assume that pure states are mapped one-to-one onto pure states and that entropy does not decrease.

Thomas F. Jordan

2006-01-26T23:59:59.000Z

415

Chaos Pass Filter: Linear Response of Synchronized Chaotic Systems  

E-Print Network [OSTI]

The linear response of synchronized time-delayed chaotic systems to small external perturbations, i.e., the phenomenon of chaos pass filter, is investigated for iterated maps. The distribution of distances, i.e., the deviations between two synchronized chaotic units due to external perturbations on the transfered signal, is used as a measure of the linear response. It is calculated numerically and, for some special cases, analytically. Depending on the model parameters this distribution has power law tails in the region of synchronization leading to diverging moments of distances. This is a consequence of multiplicative and additive noise in the corresponding linear equations due to chaos and external perturbations. The linear response can also be quantified by the bit error rate of a transmitted binary message which perturbs the synchronized system. The bit error rate is given by an integral over the distribution of distances and is calculated analytically and numerically. It displays a complex nonmonotonic behavior in the region of synchronization. For special cases the distribution of distances has a fractal structure leading to a devil's staircase for the bit error rate as a function of coupling strength. The response to small harmonic perturbations shows resonances related to coupling and feedback delay times. A bi-directionally coupled chain of three units can completely filtered out the perturbation. Thus the second moment and the bit error rate become zero.

Steffen Zeeb; Johannes Kestler; Ido Kanter; Wolfgang Kinzel

2013-01-29T23:59:59.000Z

416

Linear Transformations In this Chapter, we will define the notion of a linear transformation between  

E-Print Network [OSTI]

Chapter 6 Linear Transformations In this Chapter, we will define the notion of a linear transformation between two vector spaces V and W which are defined over the same field and prove the most basic transformations is equivalent to matrix theory. We will also study the geometric properties of linear

Carrell, Jim

417

A new sliced inverse regression method for multivariate response R. Coudreta, S. Girardb, J. Saraccoa,c,  

E-Print Network [OSTI]

to the same EDR space is provided. Thus, the proposed multivariate SIR method can be used properly on each, multivariate response regression analysis with a p-dimensional vector of regressors has been extensively) introduced sliced inverse regression (SIR) which is a well-known method to estimate the EDR space. The link

Paris-Sud XI, Université de

418

Journal of Software Testing, Verification, and Reliability, V. 10, no. 2, June 2000. Regression Test Selection for C++ Software  

E-Print Network [OSTI]

Journal of Software Testing, Verification, and Reliability, V. 10, no. 2, June 2000. Regression Test Selection for C++ Software Gregg Rothermel Dept. of Computer Science Oregon State University University Corvallis, OR 97331 dedhia@cs.orst.edu Abstract Regression testing is an important but expensive

Rothermel, Gregg

419

Electromagnetic field quantization in a linear dielectric medium  

E-Print Network [OSTI]

By modeling a dielectric medium with two independent reservoirs, i.e., electric and magnetic reservoirs, the electromagnetic field is quantized in a linear dielectric medium consistently. A Hamiltonian is proposed from which using the Heisenberg equations, not only the Maxwell equations but also the structural equations can be obtained. Using the Laplace transformation, the wave equation for the electromagnetic vector potential is solved in the case of a homogeneous dielectric medium. Some examples are considered showing the applicability of the model to both absorptive and nonabsorptive dielectrics.

F. Kheirandish; M. Amooshahi

2005-11-13T23:59:59.000Z

420

Non-intrusive Low-Rank Separated Approximation of High-Dimensional Stochastic Models  

E-Print Network [OSTI]

This work proposes a sampling-based (non-intrusive) approach within the context of low-rank separated representations to tackle the issue of curse-of-dimensionality associated with the solution of models, e.g., PDEs/ODEs, with high-dimensional random inputs. Under some conditions discussed in details, the number of random realizations of the solution, required for a successful approximation, grows linearly with respect to the number of random inputs. The construction of the separated representation is achieved via a regularized alternating least-squares regression, together with an error indicator to estimate model parameters. The computational complexity of such a construction is quadratic in the number of random inputs. The performance of the method is investigated through its application to three numerical examples including two ODE problems with high-dimensional random inputs.

Alireza Doostan; AbdoulAhad Validi; Gianluca Iaccarino

2012-10-04T23:59:59.000Z

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

LED Linear Lamps and Troffer Lighting  

Broader source: Energy.gov [DOE]

The CALiPER program performed a series of investigations on linear LED lamps. Each report in the series covers the performance of up to 31 linear LED lamps, which were purchased in late 2012 or 2013. The first report focuses on bare lamp performance of LED T8 replacement lamps and subsequent reports examine performance in various troffers, as well as cost-effectiveness. There is also a concise guidance document that describes the findings of the Series 21 studies and provides practical advice to manufacturers, specifiers, and consumers (Report 21.4: Summary of Linear (T8) LED Lamp Testing , 5 pages, June 2014).

422

Linear phase distribution of acoustical vortices  

SciTech Connect (OSTI)

Linear phase distribution of phase-coded acoustical vortices was theoretically investigated based on the radiation theory of point source, and then confirmed by experimental measurements. With the proposed criterion of positive phase slope, the possibility of constructing linear circular phase distributions is demonstrated to be determined by source parameters. Improved phase linearity can be achieved at larger source number, lower frequency, smaller vortex radius, and/or longer axial distance. Good agreements are observed between numerical simulations and measurement results for circular phase distributions. The favorable results confirm the feasibility of precise phase control for acoustical vortices and suggest potential applications in particle manipulation.

Gao, Lu; Zheng, Haixiang [Key Laboratory of Optoelectronics of Jiangsu Province, School of Physics Science and Technology, Nanjing Normal University, 1 Wenyuan Road, Xianlin District, Nanjing 210023 (China); Ma, Qingyu, E-mail: maqingyu@njnu.edu.cn [Key Laboratory of Optoelectronics of Jiangsu Province, School of Physics Science and Technology, Nanjing Normal University, 1 Wenyuan Road, Xianlin District, Nanjing 210023 (China); Laboratory of Modern Acoustics of MOE, Nanjing University, Nanjing 210093 (China); Tu, Juan; Zhang, Dong [Laboratory of Modern Acoustics of MOE, Nanjing University, Nanjing 210093 (China)

2014-07-14T23:59:59.000Z

423

Optically isolated signal coupler with linear response  

DOE Patents [OSTI]

An optocoupler for isolating electrical signals that translates an electrical input signal linearly to an electrical output signal. The optocoupler comprises a light emitter, a light receiver, and a light transmitting medium. The light emitter, preferably a blue, silicon carbide LED, is of the type that provides linear, electro-optical conversion of electrical signals within a narrow wavelength range. Correspondingly, the light receiver, which converts light signals to electrical signals and is preferably a cadmium sulfide photoconductor, is linearly responsive to light signals within substantially the same wavelength range as the blue LED.

Kronberg, James W. (Aiken, SC)

1994-01-01T23:59:59.000Z

424

E-Print Network 3.0 - analysis physical models Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

theory, regression analysis, ARAM modelling (6... and Richard E. Thomson - Data Analysis ... Source: deYoung, Brad - Department of Physics and Physical Oceanography,...

425

age-period-cohort model application: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for logistic regression, including stepwise 15 Development and application of earth system models Environmental Sciences and Ecology Websites Summary: Development and...

426

Modeling  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical...

427

Linear Thermodynamics of Rodlike DNA Filtration  

E-Print Network [OSTI]

Linear thermodynamics transportation theory is employed to study filtration of rodlike DNA molecules. Using the repeated nanoarray consisting of alternate deep and shallow regions, it is demonstrated that the complex ...

Li, Zirui

428

18.06 Linear Algebra, Spring 2005  

E-Print Network [OSTI]

This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and ...

Strang, Gilbert

429

Analysis of Copositive Optimization Based Linear Programming ...  

E-Print Network [OSTI]

instances on which upper and lower bounds are exact at a finite level of the hierarchy, .... where r ? N, gives rise to a linear programming problem with O(nr+

2014-04-18T23:59:59.000Z

430

A polynomial projection algorithm for linear programming  

E-Print Network [OSTI]

algorithm is based on a procedure whose input is a homogeneous system of linear ..... In this case s = 0 and the procedure sets the output vector yout to 0.

2013-05-03T23:59:59.000Z

431

Finite element analyses of a linear-accelerator electron gun  

SciTech Connect (OSTI)

Thermo-structural analyses of the Beijing Electron-Positron Collider (BEPCII) linear-accelerator, electron gun, were performed for the gun operating with the cathode at 1000?°C. The gun was modeled in computer aided three-dimensional interactive application for finite element analyses through ANSYS workbench. This was followed by simulations using the SLAC electron beam trajectory program EGUN for beam optics analyses. The simulations were compared with experimental results of the assembly to verify its beam parameters under the same boundary conditions. Simulation and test results were found to be in good agreement and hence confirmed the design parameters under the defined operating temperature. The gun is operating continuously since commissioning without any thermal induced failures for the BEPCII linear accelerator.

Iqbal, M., E-mail: muniqbal.chep@pu.edu.pk, E-mail: muniqbal@ihep.ac.cn [Centre for High Energy Physics, University of the Punjab, Lahore 45590 (Pakistan); Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049 (China); Wasy, A. [Department of Mechanical Engineering, Changwon National University, Changwon 641773 (Korea, Republic of)] [Department of Mechanical Engineering, Changwon National University, Changwon 641773 (Korea, Republic of); Islam, G. U. [Centre for High Energy Physics, University of the Punjab, Lahore 45590 (Pakistan)] [Centre for High Energy Physics, University of the Punjab, Lahore 45590 (Pakistan); Zhou, Z. [Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049 (China)] [Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049 (China)

2014-02-15T23:59:59.000Z

432

Zeros in linear multivariable control systems  

E-Print Network [OSTI]

ZEROS IN LINEAR MULTIVARIABLE CONTROL SYSTEMS A Thesis by ROBERT FENNELL EWING Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE August 1974 Major... Control Systems (August 1974) Robert Fennell Ewing, B. S. , Texas A&M University Chairman of Advisory Committee: Dr. J. W. Howze This thesis examines the problem of altering the transfer function matrix of a linear, time-invariant, multivariable system...

Ewing, Robert Fennell

1974-01-01T23:59:59.000Z

433

Hoechst Celanese Energy Model  

E-Print Network [OSTI]

day, this report documents the key operating variables for optimal operation of plant energy systems, such as boiler load, breakdowns, steam vents and turbo-generator stage flows. LINEAR PROGRAMMING APPROACH Linear programming is an optimization... and for ongoing plant optimization. The model optimizes variable utilities production costs using a linear programming approach. Every operating area provides input to the model for use in forecasting their utilities demand. All costs associated...

Fitzpatrick, B. A.; Gangadhar, K.

434

Linearity of Climate Response to Increases in Black Carbon Aerosols  

SciTech Connect (OSTI)

The impact of absorbing aerosols on global climate are not completely understood. Here, we present results of idealized experiments conducted with the Community Atmosphere Model (CAM4) coupled to a slab ocean model (CAM4-SOM) to simulate the climate response to increases in tropospheric black carbon aerosols (BC) by direct and semi-direct effects. CAM4-SOM was forced with 0, 1x, 2x, 5x and 10x an estimate of the present day concentration of BC while maintaining their estimated present day global spatial and vertical distribution. The top of the atmosphere (TOA) radiative forcing of BC in these experiments is positive (warming) and increases linearly as the BC burden increases. The total semi-direct effect for the 1x experiment is positive but becomes increasingly negative for higher BC concentrations. The global average surface temperature response is found to be a linear function of the TOA radiative forcing. The climate sensitivity to BC from these experiments is estimated to be 0.42 K $\\textnormal W^{-1} m^{2}$ when the semi-direct effects are accounted for and 0.22 K $\\textnormal W^{-1} m^{2}$ with only the direct effects considered. Global average precipitation decreases linearly as BC increases, with a precipitation sensitivity to atmospheric absorption of 0.4 $\\%$ $\\textnormal W^{-1} \\textnormal m^{2}$ . The hemispheric asymmetry of BC also causes an increase in southward cross-equatorial heat transport and a resulting northward shift of the inter-tropical convergence zone in the simulations at a rate of 4$^{\\circ}$N $\\textnormal PW^{-1}$. Global average mid- and high-level clouds decrease, whereas the low-level clouds increase linearly with BC. The increase in marine stratocumulus cloud fraction over the south tropical Atlantic is caused by increased BC-induced diabatic heating of the free troposphere.

Mahajan, Salil [ORNL; Evans, Katherine J [ORNL; Hack, James J [ORNL; Truesdale, John [National Center for Atmospheric Research (NCAR)

2013-01-01T23:59:59.000Z

435

Lectures on Linear Algebra over Division Ring  

E-Print Network [OSTI]

In this book i treat linear algebra over division ring. A system of linear equations over a division ring has properties similar to properties of a system of linear equations over a field. However, noncommutativity of a product creates a new picture. Matrices allow two products linked by transpose. Biring is algebra which defines on the set two correlated structures of the ring. As in the commutative case, solutions of a system of linear equations build up right or left vector space depending on type of system. We study vector spaces together with the system of linear equations because their properties have a close relationship. As in a commutative case, the group of automorphisms of a vector space has a single transitive representation on a frame manifold. This gives us an opportunity to introduce passive and active representations. Studying a vector space over a division ring uncovers new details in the relationship between passive and active transformations, makes this picture clearer. Considering of twin representations of division ring in Abelian group leads to the concept of D vector space and their linear map. Based on polyadditive map I considered definition of tensor product of rings and tensor product of D vector spaces.

Aleks Kleyn

2014-10-11T23:59:59.000Z

436

Lineal: A linear-algebraic -calculus Pablo Arrighia,1  

E-Print Network [OSTI]

Lineal: A linear-algebraic -calculus Pablo Arrighia,1 , Gilles Dowekc aUniversit´e de Grenoble, together with linear algebra. We see this Linear-algebraic -calculus (also referred to as Lineal for short and linear algebra. This language extends the -calculus with the possibility to make arbitrary linear

Dowek, Gilles

437

Lineal: A linear-algebraic -calculus Pablo Arrighia,1  

E-Print Network [OSTI]

Lineal: A linear-algebraic -calculus Pablo Arrighia,1 , Gilles Dowekc aUniversit´e de Grenoble, together with linear algebra. We see this Linear-algebraic -calculus (also referred to as Lineal for short and linear algebra. This language extends the -calculus with the possibility to make arbitrary linear

Paris-Sud XI, Université de

438

1Kaiserslautern 9/05 Structural Break Detection in Time Series ModelsStructural Break Detection in Time Series Models  

E-Print Network [OSTI]

Regressive Modeling 4 pieces, 2.58 seconds. #12;4Kaiserslautern 9/05 Introduction Examples AR GARCH Stochastic for structural break estimation Simulation results Applications Simulation results for GARCH and SSM #12. Segmented GARCH model: where 0 = 1

439

FREQFIT: Computer program which performs numerical regression and statistical chi-squared goodness of fit analysis  

SciTech Connect (OSTI)

The computer program FREQFIT is designed to perform regression and statistical chi-squared goodness of fit analysis on one-dimensional or two-dimensional data. The program features an interactive user dialogue, numerous help messages, an option for screen or line printer output, and the flexibility to use practically any commercially available graphics package to create plots of the program`s results. FREQFIT is written in Microsoft QuickBASIC, for IBM-PC compatible computers. A listing of the QuickBASIC source code for the FREQFIT program, a user manual, and sample input data, output, and plots are included. 6 refs., 1 fig.

Hofland, G.S.; Barton, C.C.

1990-10-01T23:59:59.000Z

440

Experimental Analysis of Two Measurement Techniques to Characterize Photodiode Linearity  

E-Print Network [OSTI]

Experimental Analysis of Two Measurement Techniques to Characterize Photodiode Linearity Anand anand@ece.ucsb.edu Abstract--As photodiodes become more linear, accurately characterizing, the limitations of the measurement system in determining the distortion of highly linear photodiodes. I

Coldren, Larry A.

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

Data Envelopment Analysis: A Linear Programming Application to Measure the Relative Efficiencies of Internal Business Divisions  

E-Print Network [OSTI]

that an A/E/C firm may want to evaluate include: 1. Customer Satisfaction Data Envelopment Analysis: A Linear Programming Application to Measure the Relative Efficiencies of Internal Business Divisions Laura Shockley 26 2. Percent Repeat Customer... the Relative Efficiencies of Internal Business Divisions Laura Shockley 1 Executive Summary Data Envelopment Analysis (DEA) is a non-parametric linear programming model used to determine relative efficiencies of similar decision making units based...

Shockley, Laura

2014-05-16T23:59:59.000Z

442

fhrtinnen seiner Tchter von anderen Testbullen oder von geprften Altbullen abstammen. Dieser Nachteil tritt nicht auf, wenn die Regression der zuknftigen Tchter auf die durchsch-  

E-Print Network [OSTI]

Nachteil tritt nicht auf, wenn die Regression der zukünftigen Töchter auf die durchsch- nittliche Differenz

Paris-Sud XI, Université de

443

Designing Networks: A Mixed-Integer Linear Optimization Approach  

E-Print Network [OSTI]

Designing networks with specified collective properties is useful in a variety of application areas, enabling the study of how given properties affect the behavior of network models, the downscaling of empirical networks to workable sizes, and the analysis of network evolution. Despite the importance of the task, there currently exists a gap in our ability to systematically generate networks that adhere to theoretical guarantees for the given property specifications. In this paper, we propose the use of Mixed-Integer Linear Optimization modeling and solution methodologies to address this Network Generation Problem. We present a number of useful modeling techniques and apply them to mathematically express and constrain network properties in the context of an optimization formulation. We then develop complete formulations for the generation of networks that attain specified levels of connectivity, spread, assortativity and robustness, and we illustrate these via a number of computational case studies.

Gounaris, Chrysanthos E; Kevrekidis, Ioannis G; Floudas, Christodoulos A

2015-01-01T23:59:59.000Z

444

Charged relativistic fluids and non-linear electrodynamics  

E-Print Network [OSTI]

The electromagnetic fields in Maxwell's theory satisfy linear equations in the classical vacuum. This is modified in classical non-linear electrodynamic theories. To date there has been little experimental evidence that any of these modified theories are tenable. However with the advent of high-intensity lasers and powerful laboratory magnetic fields this situation may be changing. We argue that an approach involving the self-consistent relativistic motion of a smooth fluid-like distribution of matter (composed of a large number of charged or neutral particles) in an electromagnetic field offers a viable theoretical framework in which to explore the experimental consequences of non-linear electrodynamics. We construct such a model based on the theory of Born and Infeld and suggest that a simple laboratory experiment involving the propagation of light in a static magnetic field could be used to place bounds on the fundamental coupling in that theory. Such a framework has many applications including a new description of the motion of particles in modern accelerators and plasmas as well as phenomena in astrophysical contexts such as in the environment of magnetars, quasars and gamma-ray bursts.

T. Dereli; R. W. Tucker

2010-01-08T23:59:59.000Z

445

alfven fluctuations linear: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of open and expanding magnetic field configuration with a realistic temperature distribution. We compute the maximum transversal velocity of both linear and non-linear Alfven...

446

2009 Linear Collider Workshop of the Americas  

SciTech Connect (OSTI)

The 2009 Linear Collider Workshop of the Americas was held on the campus of the University of New Mexico from 29 September to 3 October, 2009. This was a joint meeting of the American Linear Collider Physics Group and the ILC Global Design Effort. Two hundred fifty people attended. The number of scientific contributions was 333. The complete agenda, with links to all of the presentations, is available at physics.unm.edu/LCWA09/. The meeting brought together international experts as well as junior scientists, to discuss the physics potential of the linear collider and advances in detector technology. The validation of detector designs was announced, and the detector design groups planned the next phase of the effort. Detector R&D teams reported on progress on many topics including calorimetry and tracking. Recent accelerator design considerations were discussed in a special session for experimentalists and theorists.

Seidel, Sally

2009-09-29T23:59:59.000Z

447

On frequency dependence of pulsar linear polarization  

E-Print Network [OSTI]

Frequency dependence of pulsar linear polarization is investigated by simulations of emission and propagation processes. Linearly polarized waves are generated through curvature radiation by relativistic particles streaming along curved magnetic field lines, which have ordinary mode (O-mode) and extra-ordinary mode (X-mode) components. As emitted waves propagate outwards, two mode components are separated due to re- fraction of the O mode, and their polarization states are also modified. According to the radius to frequency mapping, low frequency emission is generated from higher magnetosphere, where significant rotation effect leads the X and O modes to be sepa- rated. Hence, the low frequency radiation has a large fraction of linear polarization. As the frequency increases, emission is generated from lower heights, where the rotation effect becomes weaker and the distribution regions of two modes are more overlapped. Hence, more significant depolarization appears for emission at higher frequencies. In addit...

Wang, P F; Han, J L

2015-01-01T23:59:59.000Z

448

Dual-range linearized transimpedance amplifier system  

DOE Patents [OSTI]

A transimpedance amplifier system is disclosed which simultaneously generates a low-gain output signal and a high-gain output signal from an input current signal using a single transimpedance amplifier having two different feedback loops with different amplification factors to generate two different output voltage signals. One of the feedback loops includes a resistor, and the other feedback loop includes another resistor in series with one or more diodes. The transimpedance amplifier system includes a signal linearizer to linearize one or both of the low- and high-gain output signals by scaling and adding the two output voltage signals from the transimpedance amplifier. The signal linearizer can be formed either as an analog device using one or two summing amplifiers, or alternately can be formed as a digital device using two analog-to-digital converters and a digital signal processor (e.g. a microprocessor or a computer).

Wessendorf, Kurt O. (Albuquerque, NM)

2010-11-02T23:59:59.000Z

449

On fast trust region methods for quadratic models with linear ...  

E-Print Network [OSTI]

employs conjugate gradients with termination at the trust region boundary. In particular, we ... An extension to the conjugate gradient method for searching round.

2014-08-28T23:59:59.000Z

450

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

E-Print Network [OSTI]

the problem are random in nature, and the demand vector under study is also random. ... Patrick Viguerie, Strategy Under Uncertainty, Harvard Business Review,. Nov. ... blossomed into fields that have solid mathematical foundations, reliable ...

Dr.V.Charles

2007-03-07T23:59:59.000Z

451

Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming  

E-Print Network [OSTI]

of offering strategies for a wind power producer, Electricdevelop offering strategies for wind power production whilethe uncertainty in wind power and market prices. In [23],

Cardoso, Goncalo

2014-01-01T23:59:59.000Z

452

Gas Network Optimization: A comparison of Piecewise Linear Models  

E-Print Network [OSTI]

aXM, Compañía de Expertos en Mercados, Colombian Power System Operator, Medellín, ...... rate of heat transfer per unit time and unit mass of the gas [W/kg].

2014-06-22T23:59:59.000Z

453

Toward understanding predictability of climate: a linear stochastic modeling approach  

E-Print Network [OSTI]

(E?) ? ; (2.29) which represents the predictable information(Schneider and Gri?es, 1999). In our case here, it is convenient to work with a derived quantity which we call predictive power loss (PPL) PPL(?) = e? 2nI(?x; x) = det ?E?C?1?1=n (2.30) after... the predictive power (PP) of Schneider and Gri?es (1999). Using the properties of positive de?nite matrix, one can show 0 6 PPL 6 1. It is consistent with ?(?) in the sense that PPL(0) = 0 and PPL(?1) = 1. The predictive power loss has some nice mathematical...

Wang, Faming

2004-11-15T23:59:59.000Z

454

Efficient Model Selection for Regularized Linear Discriminant Analysis  

E-Print Network [OSTI]

of Minnesota Minneapolis, MN 55455 janardan@cs.umn.edu Jinbo Bi CAD group, Siemens Medical Solutions, Inc. Malvern, PA 19355 jinbo.bi@siemens.com Vladimir Cherkassky University of Minnesota Minneapolis, MN 55455 the optimal transformation of RLDA for a large set of parameter candi- dates, with approximately the same cost

Ye, Jieping

455

Bayesian wavelet shrinkage in transformation based linear models  

E-Print Network [OSTI]

subsequences are formed: (1. 8) sa&v 32 3r +2 (1. 9) The cross-validatory threshold Z is a minimizer of: M(2)=g (T"'(d, ?;A) ? ry ) +g (T"s(d;L) ? d, ' ' ) (1. 10) multiplied by the correction factor (1 ? log 2/log N) ' ', where d s " and d", are discrete... power 2. , our shrinkage prior is given by d, ~ y, ?cr, zI- 1V(0, y?gcr'), cr, 2 ? p(yt) / cr (3. 12) (3 13) where di is the discrete wavelet coefficient at a scale j and a location k2'; and the hyperparametcrs y, c [0, 1] are indicator variables...

Ray, Shubhankar

2002-01-01T23:59:59.000Z

456

Mixed-Integer Models for Nonseparable Piecewise Linear ...  

E-Print Network [OSTI]

H. Milton Stewart School of Industrial and Systems Engineering, Georgia ... from factors such as economies of scale or complex technological processes.

2009-06-23T23:59:59.000Z

457

Gas Network Optimization: A comparison of Piecewise Linear Models  

E-Print Network [OSTI]

Oct 4, 2014 ... ... and advanced MILP formulations for the gas network optimization in dynamic or in steady-state conditions. ... Search, Browse the Repository.

CARLOS M. CORREA-POSADA

2014-10-04T23:59:59.000Z

458

Model minimization by linear PSR Masoumeh T. Izadi  

E-Print Network [OSTI]

for robotics applications, in which states can have similar dynam- ics but sensor reading will often(o,s,a) = P(ot+1 = o|st+1 = s,at = a); an initial belief state b0, which is a vector of size |S|, giving

Verbrugge, Clark

459

Modeling of a detonation driven, linear electric generator facility  

E-Print Network [OSTI]

the heat and the force produced from the detonation wave. In previous experimental work, a single that involve coupling a PDE with different systems to drive a generator and produce electricity [2, 3]. One. For instance, it may be possible to design a generator that uses the force created by the pressure rise from

Texas at Arlington, University of

460

HERITABILITY ESTIMATION IN HIGH DIMENSIONAL LINEAR MIXED MODELS  

E-Print Network [OSTI]

estimator. Our approach is implemented in the R package HiLMM which is available from the web page) the "dark matter" of the genome or the "dark matter" of heritability. To estimate this lacking heritability

Gassiat, Elisabeth

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

Modeling  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

a single-fluid diffuse interface model in the ALE-AMR hydrodynamics code to simulate surface tension effects. We show simula- tions and compare them to other surface tension...

462

Modeling  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

sion effects. We show the result of a test case, and compare it to the result without surface tension. The model describes droplet formation nicely. Application The ARRA-funded...

463

Abstract--A linear and a rotational switched reluctance drive with a large airgap are developed and manufactured  

E-Print Network [OSTI]

and control objectives are to maximize the efficiency and to minimize the acoustic noise at the given motor system. Two further types of linear electric motors have been considered: the linear induction motor (LIM and manufactured for a test track of autonomous railway vehicles. The motor design, a coupled model and the results

Paderborn, Universität

464

Linear and angular retroreflecting interferometric alignment target  

DOE Patents [OSTI]

The present invention provides a method and apparatus for measuring both the linear displacement and angular displacement of an object using a linear interferometer system and an optical target comprising a lens, a reflective surface and a retroreflector. The lens, reflecting surface and retroreflector are specifically aligned and fixed in optical connection with one another, creating a single optical target which moves as a unit that provides multi-axis displacement information for the object with which it is associated. This displacement information is useful in many applications including machine tool control systems and laser tracker systems, among others.

Maxey, L. Curtis (Powell, TN)

2001-01-01T23:59:59.000Z

465

Linear Parameter-Varying versus Linear Time-Invariant Control Design for a Pressurized Water Reactor  

E-Print Network [OSTI]

-dependent control to a nuclear pressurized water reactor is investigated and is compared to that of using an H1Linear Parameter-Varying versus Linear Time-Invariant Control Design for a Pressurized Water Reactor Pascale Bendotti y Electricit e de France Direction des Etudes et Recherches 6 Quai Watier, 78401

Bodenheimer, Bobby

466

A linear logical view of linear type isomorphisms Vincent Balat and Roberto Di Cosmo  

E-Print Network [OSTI]

A linear logical view of linear type isomorphisms Vincent Balat and Roberto Di Cosmo LIENS ' Ecole lambda calculus) have recently been investigated due to their practical interest in library search, where they provide a means to search functions by type (see [18, 19, 17, 20, 9, 8, 10]) and to match

Balat, Vincent - Laboratoire Preuves, Programmes et Systèmes, Université Paris 7

467

Modelling  

E-Print Network [OSTI]

Modeling of technical machines became a standard technique since computer became powerful enough to handle the amount of data relevant to the specific system. Simulation of an existing physical device requires the knowledge of all relevant quantities. Electric fields given by the surrounding boundary as well as magnetic fields caused by coils or permanent magnets have to be known. Internal sources for both fields are sometimes taken into account, such as space charge forces or the internal magnetic field of a moving bunch of charged particles. Used solver routines are briefly described and some bench-marking is shown to estimate necessary computing times for different problems. Different types of charged particle sources will be shown together with a suitable model to describe the physical model. Electron guns are covered as well as different ion sources (volume ion sources, laser ion sources, Penning ion sources, electron resonance ion sources, and H$^-$-sources) together with some remarks on beam transport.

Spädtke, P

2013-01-01T23:59:59.000Z

468

Automatic tuning for linearly tunable filter  

E-Print Network [OSTI]

A new tuning scheme for linearly tunable high-Q filters is proposed. The tuning method is based on using the phase information for both frequency and Q factor tuning. There is no need to find out the relationship between a filter's passband...

Huang, Sung-Ling

2004-09-30T23:59:59.000Z

469

SME0141 lgebra Linear e Equaes Diferenciais  

E-Print Network [OSTI]

SME0141 Álgebra Linear e Equações Diferenciais Aula 5 Maria Luísa Bambozzi de Oliveira marialuisa; Propriedades; Teorema. Maria Luísa SME0141 Aula 5 #12;Equações Diferenciais ­ Introdução Fenômenos em física químicas, etc. Maria Luísa SME0141 Aula 5 #12;Equações Diferenciais ­ Definições Equação diferencial

Spreafico, Mauro - Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo

470

Primes Solutions Of Linear Diophantine Equations  

E-Print Network [OSTI]

Let k => 1, m => 1 be small fixed integers, gcd(k, m) = 1. This note develops some techniques for proving the existence of infinitely many primes solutions x = p, and y = q of the linear Diophantine equation y = mx + k.

N. A. Carella

2014-04-03T23:59:59.000Z

471

Linearity -statistics 1.1B training  

E-Print Network [OSTI]

Linearity - statistics IPAT 1.1B training 300M training D0 resolution is evaluated using 100k. Black is a bank with 3.5 times as much statistics. There may be a hint of slight improvement;Narrow beam + high statistics IPAT Default FTK constants Narrow-beam constants Reconstruction performance

472

Numerical Linear Algebra and Optimization on Facebook  

E-Print Network [OSTI]

Numerical Linear Algebra and Optimization on Facebook: "In a relationship" or "It's complicated indicate their "relationship status" on Facebook (!!!). (I don't need to define Facebook, right?) #12;Facebook is close to ubiquitous (1.2 billion users in March 2014). 556 million people log on to Facebook

Sidorov, Nikita

473

QCD Interconnection Studies at Linear Colliders  

E-Print Network [OSTI]

Heavy objects like the W, Z and t are short-lived compared with typical hadronization times. When pairs of such particles are produced, the subsequent hadronic decay systems may therefore become interconnected. We study such potential effects at Linear Collider energies.

Valery A. Khoze; Torbjörn Sjöstrand

1999-12-10T23:59:59.000Z

474

Section Notes 5 Review of Linear Programming  

E-Print Network [OSTI]

3 Lecture 4: Convexity, Extreme points 3 4 Lecture 5: Primal Simplex 4 5 Lecture 6: Advanced Primal (LP) is an optimization problem that involves maximizing or minimizing a linear objective function, ..., Am form a square matrix that is invertible · Span ­ These vectors A1, ..., Am span the vector space

Chen, Yiling

475

Controlling Wild Bodies Using Linear Temporal Logic  

E-Print Network [OSTI]

Controlling Wild Bodies Using Linear Temporal Logic Leonardo Bobadilla Oscar Sanchez Justin or state feedback. We do this by exploiting the wild motions of very simple bodies in an environment propose to start with a "wildly behaving" body for which its precise equations of motion are unknown

LaValle, Steven M.

476

ASYMPTOTIC DISTRIBUTION OF ESTIMATES FOR A TIME-VARYING PARAMETER IN A HARMONIC MODEL  

E-Print Network [OSTI]

ASYMPTOTIC DISTRIBUTION OF ESTIMATES FOR A TIME-VARYING PARAMETER IN A HARMONIC MODEL WITH MULTIPLE harmonic regression models are useful for cases where harmonic parameters appear to be time-varying. Least, harmonic regression, signal processing, sound analysis, time-varying parameters, weighted least squares

Irizarry, Rafael A.

477

Observability Criteria and Estimator Design for Stochastic Linear Hybrid Systems  

E-Print Network [OSTI]

. Alessandri and Coletta [5] proposed a Luenberger observer design methodology for deterministic linear hybrid

Gummadi, Ramakrishna

478

SWITCHING TIME ESTIMATION OF PIECEWISE LINEAR SYSTEMS. APPLICATION TO DIAGNOSIS  

E-Print Network [OSTI]

systems. Recently (Alessandri, 2001), Alessandri considered the case where continuous evolution is linear

Boyer, Edmond

479

Compact Proof Certificates For Linear Logic Kaustuv Chaudhuri  

E-Print Network [OSTI]

Compact Proof Certificates For Linear Logic Kaustuv Chaudhuri INRIA, France http://kaustuv.chaudhuri

Chaudhuri, Kaustuv

480

Model-Based Approaches to Robust Speech Recognition  

E-Print Network [OSTI]

Compensation · A standard scheme for speaker/environment adaptation is linear transforms Various forms used ­ multiple regression classes used to increase power of transform · The recognition system (back based noise compensation ­ vector-Taylor series approximation (VTS) ­ joint uncertainty decoding (JUD

Gales, Mark

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.


481

ANALYZING SURFACE ROUGHNESS DEPENDENCE OF LINEAR RF LOSSES  

SciTech Connect (OSTI)

Topographic structure on Superconductivity Radio Frequency (SRF) surfaces can contribute additional cavity RF losses describable in terms of surface RF reflectivity and absorption indices of wave scattering theory. At isotropic homogeneous extent, Power Spectrum Density (PSD) of roughness is introduced and quantifies the random surface topographic structure. PSD obtained from different surface treatments of niobium, such Buffered Chemical Polishing (BCP), Electropolishing (EP), Nano-Mechanical Polishing (NMP) and Barrel Centrifugal Polishing (CBP) are compared. A perturbation model is utilized to calculate the additional rough surface RF losses based on PSD statistical analysis. This model will not consider that superconductor becomes normal conducting at fields higher than transition field. One can calculate the RF power dissipation ratio between rough surface and ideal smooth surface within this field range from linear loss mechanisms.

Reece, Charles E. [JLAB; Kelley, Michael J. [JLAB, W& M College; Xu, Chen [JLAB, W& M College

2012-09-01T23:59:59.000Z

482

H and A Discrimination using Linear Polarization of Photons at the PLC  

E-Print Network [OSTI]

First realistic estimate of the usefulness of the Photon Linear Collider with linearly polarized photons as analyzer of the CP-parity of Higgs bosons is presented. MSSM Higgs bosons H and A with 300 GeV mass, for the model parameters corresponding to the so called "LHC wedge" region, are considered. When switching from circular to linear photon polarization a significant increase in heavy quark production background, which is no longer suppressed by helicity conservation, and decrease of the Higgs boson production cross sections by a factor of two is expected. Nevertheless, after three years of Photon Linear Collider running heavy scalar and pseudoscalar Higgs bosons in MSSM can be distinguished at a 4.5 sigma level.

A. F. Zarnecki; P. Niezurawski; M. Krawczyk

2007-10-20T23:59:59.000Z

483

Using the sequential regression (SER) algorithm for long-term signal processing. [Intrusion detection  

SciTech Connect (OSTI)

The use of the sequential regression (SER) algorithm (Electron. Lett., 14, 118(1978); 13, 446(1977)) for long-term processing applications is limited by two problems that can occur when an SER predictor has more weights than required to predict the input signal. First, computational difficulties related to updating the autocorrelation matrix inverse could arise, since no unique least-squares solution exists. Second, the predictor strives to remove very low-level components in the input, and hence could implement a gain function that is essentially zero over the entire passband. The predictor would then tend to become a no-pass filter which is undesirable in certain applications, e.g., intrusion detection (SAND--78-1032). Modifications to the SER algorithm that overcome the above problems are presented, which enable its use for long-term signal processing applications. 3 figures.

Soldan, D. L.; Ahmed, N.; Stearns, S. D.

1980-01-01T23:59:59.000Z

484

A Comparative Study of Estimation Models for Satellite Relative Motion  

E-Print Network [OSTI]

increases, the linear models begin to diverge greatly from the true response. The additional two models (the biased CW equations, and the linear STM) show decent performance under specific conditions. The former accounts for some of the unaccounted...

Desai, Uri

2013-01-31T23:59:59.000Z

485

Towards a Future Linear Collider and The Linear Collider Studies at CERN  

ScienceCinema (OSTI)

During the week 18-22 October, more than 400 physicists will meet at CERN and in the CICG (International Conference Centre Geneva) to review the global progress towards a future linear collider. The 2010 International Workshop on Linear Colliders will study the physics, detectors and accelerator complex of a linear collider covering both the CLIC and ILC options. Among the topics presented and discussed will be the progress towards the CLIC Conceptual Design Report in 2011, the ILC Technical Design Report in 2012, physics and detector studies linked to these reports, and an increasing numbers of common working group activities. The seminar will give an overview of these topics and also CERN?s linear collider studies, focusing on current activities and initial plans for the period 2011-16. n.b: The Council Chamber is also reserved for this colloquium with a live transmission from the Main Auditorium.

None

2011-10-06T23:59:59.000Z

486

Enhanced dielectric-wall linear accelerator  

DOE Patents [OSTI]

A dielectric-wall linear accelerator is enhanced by a high-voltage, fast e-time switch that includes a pair of electrodes between which are laminated alternating layers of isolated conductors and insulators. A high voltage is placed between the electrodes sufficient to stress the voltage breakdown of the insulator on command. A light trigger, such as a laser, is focused along at least one line along the edge surface of the laminated alternating layers of isolated conductors and insulators extending between the electrodes. The laser is energized to initiate a surface breakdown by a fluence of photons, thus causing the electrical switch to close very promptly. Such insulators and lasers are incorporated in a dielectric wall linear accelerator with Blumlein modules, and phasing is controlled by adjusting the length of fiber optic cables that carry the laser light to the insulator surface. 6 figs.

Sampayan, S.E.; Caporaso, G.J.; Kirbie, H.C.

1998-09-22T23:59:59.000Z

487

Linearized warp drive and the energy conditions  

E-Print Network [OSTI]

''Warp drive'' spacetimes are useful as ''gedanken-experiments'' and as a theoretician's probe of the foundations of general relativity. Applying linearized gravity to the weak-field warp drive, i.e., for non-relativistic warp-bubble velocities, we find that the occurrence of energy condition violations in this class of spacetimes is generic to the form of the geometry under consideration and is not simply a side-effect of the ''superluminal'' properties. Using the linearized construction it is now possible to compare the warp field energy with the mass-energy of the spaceship, and applying the ''volume integral quantifier'', extremely stringent conditions on the warp drive spacetime are found.

Francisco S. N. Lobo; Matt Visser

2004-12-14T23:59:59.000Z

488

An LED pulser for measuring photomultiplier linearity  

E-Print Network [OSTI]

A light-emitting diode (LED) pulser for testing the low-rate response of a photomultiplier tube (PMT) to scintillator-like pulses has been designed, developed, and implemented. This pulser is intended to simulate 80 ns full width at half maximum photon pulses over the dynamic range of the PMT, in order to precisely determine PMT linearity. This particular design has the advantage that, unlike many LED test rigs, it does not require the use of multiple calibrated LEDs, making it insensitive to LED gain drifts. Instead, a finite-difference measurement is made using two LEDs which need not be calibrated with respect to one another. These measurements give a better than 1% mapping of the response function, allowing for the testing and development of particularly linear PMT bases.

Friend, M; Quinn, B

2011-01-01T23:59:59.000Z

489

Can the Stock Market be Linearized?  

E-Print Network [OSTI]

ARCH spin-o? models such as GARCH, EGARCH, etc. [4] [24].shared by the popular GARCH(1,1) model [3]—is associated

Politis, D N

2006-01-01T23:59:59.000Z

490

A robustness application for linear estimation  

E-Print Network [OSTI]

, recursive algorithm for yielding estimates of the state of a linear dynamic system (see, for example, the excellent tutorial [1]). Many other applications of this estimation scheme exist in the areas of signal processing, power systems, telecommunications... on robustness causes the coefficient which maximizes J to approach the coefficient which produces maximum robustness. 37 REFERENCES [1] I. B. Rhodes, "A Tutorial Introduction to Estimation and Filtering, "IEEE Trans. on Automatic Control, vol. AC-16, pp...

Kitzman, Kenneth Victor

1990-01-01T23:59:59.000Z

491

Positive energy quantization of linear dynamics  

E-Print Network [OSTI]

The abstract mathematical structure behind the positive energy quantization of linear classical systems is described. It is separated into 3 stages: the description of a classical system, the algebraic quantization and the Hilbert space quantization. 4 kinds of systems are distinguished: neutral bosonic, neutral bosonic, charged bosonic and charged fermionic. The formalism that is described follows closely the usual constructions employed in quantum physics to introduce non-interacting quantum fields.

Derezinski, Jan

2009-01-01T23:59:59.000Z

492

Subsonic Free Surface Waves in Linear Elasticity  

E-Print Network [OSTI]

For general anisotropic linear elastic solids with smooth boundaries, Rayleigh-type surface waves are studied. Using spectral factorizations of matrix polynomials, a self-contained exposition of the case of a homogeneous half-space is given first. The main result is about inhomogeneous anisotropic bodies with curved surfaces. The existence of subsonic free surface waves is shown by giving ray series asymptotic expansions, including formulas for the transport equation.

Sönke Hansen

2014-05-09T23:59:59.000Z

493

Linear Concentrator Systems | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories on climateJuno Beach,October,Lighthouse Solar JumpLindeLinear

494

Linear Collider Physics Resource Book Snowmass 2001  

SciTech Connect (OSTI)

The American particle physics community can look forward to a well-conceived and vital program of experimentation for the next ten years, using both colliders and fixed target beams to study a wide variety of pressing questions. Beyond 2010, these programs will be reaching the end of their expected lives. The CERN LHC will provide an experimental program of the first importance. But beyond the LHC, the American community needs a coherent plan. The Snowmass 2001 Workshop and the deliberations of the HEPAP subpanel offer a rare opportunity to engage the full community in planning our future for the next decade or more. A major accelerator project requires a decade from the beginning of an engineering design to the receipt of the first data. So it is now time to decide whether to begin a new accelerator project that will operate in the years soon after 2010. We believe that the world high-energy physics community needs such a project. With the great promise of discovery in physics at the next energy scale, and with the opportunity for the uncovering of profound insights, we cannot allow our field to contract to a single experimental program at a single laboratory in the world. We believe that an e{sup +}e{sup -} linear collider is an excellent choice for the next major project in high-energy physics. Applying experimental techniques very different from those used at hadron colliders, an e{sup +}e{sup -} linear collider will allow us to build on the discoveries made at the Tevatron and the LHC, and to add a level of precision and clarity that will be necessary to understand the physics of the next energy scale. It is not necessary to anticipate specific results from the hadron collider programs to argue for constructing an e{sup +}e{sup -} linear collider; in any scenario that is now discussed, physics will benefit from the new information that e{sup +}e{sup -} experiments can provide. This last point merits further emphasis. If a new accelerator could be designed and built in a few years, it would make sense to wait for the results of each accelerator before planning the next one. Thus, we would wait for the results from the Tevatron before planning the LHC experiments, and wait for the LHC before planning any later stage. In reality accelerators require a long time to construct, and they require such specialized resources and human talent that delay can cripple what would be promising opportunities. In any event, we believe that the case for the linear collider is so compelling and robust that we can justify this facility on the basis of our current knowledge, even before the Tevatron and LHC experiments are done. The physics prospects for the linear collider have been studied intensively for more than a decade, and arguments for the importance of its experimental program have been developed from many different points of view. This book provides an introduction and a guide to this literature. We hope that it will allow physicists new to the consideration of linear collider physics to start from their own personal perspectives and develop their own assessments of the opportunities afforded by a linear collider.

Ronan (Editor), M.T.

2001-06-01T23:59:59.000Z

495

Modeling covariance structure in unbalanced longitudinal data  

E-Print Network [OSTI]

CHAPTER I INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . 1 II A REVIEW OF MODELING COVARIANCE MATRICES WITH MODIFIED CHOLESKY DECOMPOSITION . . . . . . 5 2.1 Modified Cholesky Decomposition . . . . . . . . . . . . . . 5 2.2 Fixed... Linear Mixed Models . . . . . . . . . . . . . 14 2.6 Linear Mixed-Effects Models: Balanced Longitudinal Data 15 III FIXED-EFFECTS MODELS WITH UNBALANCED LON- GITUDINAL DATA . . . . . . . . . . . . . . . . . . . . . . . . 19 3.1 Introduction...

Chen, Min

2009-05-15T23:59:59.000Z

496

Chemical Enrichment at High Redshifts Understanding the Nature of Damped Ly$\\alpha$ Systems in Hierarchical Models  

E-Print Network [OSTI]

We use cosmological hydrodynamical simulations including star formation and metal enrichment to study the evolution of the chemical properties of galaxy-like objects at high redshift in the range $0.25Hydrogen column densities with abundances and scatter comparable to those observed in damped Lyman-$\\alpha$ systems (DLAs).The unweighted mean of abundance ratios and least square linear regressions through the simulated DLAs yield intrinsic metallicity evolution for the [Zn/H] and [Fe/H], consistent with results obtained from similar analysis of available observations. Our model statistically reproduces the mild evolution detected in the metallicity of the neutral hydrogen content of the Universe, given by mass-weighted means,if observational constraints are considered (as suggested by Boiss\\'ee et al. 1998). For the $\\alpha$-elements in the simulated DLAs, we find n...

Tissera, P B; Cora, S A

2001-01-01T23:59:59.000Z

497

Enhanced localized energetic ion losses resulting from first-orbit linear and non-linear interactions with Alfvén eigenmodes in DIII-D  

SciTech Connect (OSTI)

Two key insights into interactions between Alfvén eigenmodes (AEs) and energetic particles in the plasma core are gained from measurements and modeling of first-orbit beam-ion loss in DIII-D. First, the neutral beam-ion first-orbit losses are enhanced by AEs and a single AE can cause large fast-ion displacement. The coherent losses are from born trapped full energy beam-ions being non-resonantly scattered by AEs onto loss orbits within their first poloidal transit. The loss amplitudes scale linearly with the mode amplitude but the slope is different for different modes. The radial displacement of fast-ions by individual AEs can be directly inferred from the measurements. Second, oscillations in the beam-ion first-orbit losses are observed at the sum, difference, and harmonic frequencies of two independent AEs. These oscillations are not plasma modes and are absent in magnetic, density, and temperature fluctuations. The origin of the non-linearity as a wave-particle coupling is confirmed through bi-coherence analysis, which is clearly observed because the coherences are preserved by the first-orbit loss mechanism. An analytic model and full orbit simulations show that the non-linear features seen in the loss signal can be explained by a non-linear interaction between the fast ions and the two independent AEs.

Chen, X. [University of California-Irvine, Irvine, California 92697 (United States); General Atomics, P.O. Box 85608, San Diego, California 92186 (United States); Heidbrink, W. W. [University of California-Irvine, Irvine, California 92697 (United States); Kramer, G. J.; Nazikian, R.; Grierson, B. A.; Podesta, M. [Princeton Plasma Physics Laboratory, P.O. Box 451, Princeton, New Jersey 08543 (United States); Van Zeeland, M. A.; Pace, D. C.; Petty, C. C.; Fisher, R. K. [General Atomics, P.O. Box 85608, San Diego, California 92186 (United States); Zeng, L. [University of California, Los Angeles 90095, California (United States); Austin, M. E. [University of Texas-Austin, Austin, Texas 78712 (United States)

2014-08-15T23:59:59.000Z

498

Model for electric energy consumption in eastern Saudi Arabia  

SciTech Connect (OSTI)

Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five years of data have been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy is determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

Al-Garni, A.Z.; Al-Nassar, Y.N.; Zubair, S.M.; Al-Shehri, A. [King Fahd Univ. of Petroleum and Minerals, Dhahran (Saudi Arabia)

1997-05-01T23:59:59.000Z

499

Oxidation kinetics of methylphosphonic acid in supercritical water : experimental measurements and model development  

E-Print Network [OSTI]

(cont.) at well-defined operating conditions and to develop. both microscopic and macroscopic models, ranging from regressed global models to an elementary reaction mechanism, to quantify MPA oxidation kinetics in supercritical ...

Sullivan, Patricia A. (Patricia Ann), 1978-

2004-01-01T23:59:59.000Z

500

1. Consider the following linear dynarnical system X = A X + B U  

E-Print Network [OSTI]

1. Consider the following linear dynarnical system X = A X + B U Y = C X (i) Please statethe-looptracking transfer function. (4) Find the steady-state value of outputx due to: (a) unit-step load force disturbace change; (b) unit-ramp load force disturbancechange. Controller Motor drive model #12;3. Consider

Huang, Haimei