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1

Probabilistic Multiple-Linear Regression Modeling for Tropical Cyclone Intensity  

Science Journals Connector (OSTI)

The authors describe the development and verification of a statistical model relating tropical cyclone intensity to the local large-scale environment. A multiple linear regression framework is used to estimate the expected intensity of a tropical ...

Chia-Ying Lee; Michael K. Tippett; Suzana J. Camargo; Adam H. Sobel

2

A bayesian mixture model with linear regression mixing proportions  

Science Journals Connector (OSTI)

Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is to learn how complex data distributions evolve. We develop models and ... Keywords: bayesian mixture model, gibbs sampler, linear regression, mixing proportion

Xiuyao Song; Chris Jermaine; Sanjay Ranka; John Gums

2008-08-01T23:59:59.000Z

3

Generalized Additive Models versus Linear Regression in Generating Probabilistic MOS Forecasts of Aviation Weather Parameters  

Science Journals Connector (OSTI)

The skill of probabilistic Model Output Statistics forecasts generated from Generalized Additive Models (GAM) is compared to that of traditional multiple linear regression techniques. Unlike linear regression, where each predictor term in the ...

Robert L. Vislocky; J. Michael Fritsch

1995-12-01T23:59:59.000Z

4

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

5

Prediction of demand trends of coking coal in China based on grey linear regression composition model  

Science Journals Connector (OSTI)

The scarce of coking coal resources in China results in its short supply. By establishing a grey linear regression composition model, this paper has greatly improved the inadequacy of grey system prediction model and regression analysis method in trend prediction and finished the prediction of demand trends of coking coal in China with this model. As result of the prediction, it is estimated that in the next decade, the demand for coking coal in China will experience a growth trend; China's demand for coking coal will reach more than 1.535 billion tons by 2015, reach the maximum of 1.639 billion tons by 2020 and drop in 2025.

Hai-Dong Zhou; Qiang Wu; Min Fang; Zhong-Bao Ren; Li-Fei Jin

2013-01-01T23:59:59.000Z

6

Building an MLR Model Building a multiple linear regression (MLR) model from data is one of the  

E-Print Network (OSTI)

Chapter 3 Building an MLR Model Building a multiple linear regression (MLR) model from data is one- imation to the data can be difficult. Model building is an iterative process. Given the problem and data but no model, the model building process can often be aided by graphs that help visualize the relationships

Olive, David

7

Exploring the usefulness of a simple linear regression model for understanding price movements of selected recycled materials in the UK  

Science Journals Connector (OSTI)

The price volatility of recycled materials exposes many different organisations to financial and regulatory risk. These risks can be partially mitigated by improved understanding of price volatility using econometric models, although these have tended to be sophisticated autoregressive models, beyond the analytical capability or cost structure of the average market participant. In this context, this study explores the use of a simple linear regression model to understand the behaviour of prices for recycled plastic, recovered paper and glass, based on the price of their primary inputs, with a specific focus on the UK market. The results of the simple regression model are compared with a wavelet analysis to determine what information is lost in the trade off with simplicity. Both models found significant relationships between the price of crude oil/ethylene/naphtha and recycled plastics and it appears that there is no loss in model performance by using oil as the explanatory variable, rather than direct inputs (ethylene/naphtha). However, few correlations were found for recovered paper and glass. Initial findings from the wavelet analysis suggest that since 2004 the oil price has become more closely linked to the price of recycled plastics. It must be noted that this study is exploratory and particular dynamics of UK markets for recycled materials may affect price development in a way that would not be repeated on international markets.

A. Angus; M. Rivas Casado; D. Fitzsimons

2012-01-01T23:59:59.000Z

8

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

9

Predictive model-based for the critical submergence of horizontal intakes in open channel flows with different clearance bottoms using CART, ANN and linear regression approaches  

Science Journals Connector (OSTI)

This study presents the development of classification and regression tree (CART), artificial neural network (ANN) and linear regression approaches to predict the critical submergence in an open channel flow for different clearance bottoms. To use the ... Keywords: ANN, CART, Critical submergence

Mohammad Karim Ayoubloo; H. Md. Azamathulla; Ebrahim Jabbari; Morteza Zanganeh

2011-08-01T23:59:59.000Z

10

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

E-Print Network (OSTI)

?across?the?outside?air?temperature. Different?weather Toa data College?Station,?TX San?Francisco,?CA Phoenix,?AZ Chicago,?IL Wall?construction 4?in.?concrete?and?2?in.?insulation U?=?0.124?[Btu/hr?ft2??F] (=?0.707?[W/(m2?K)]) ?40 ?30 ?20 ?10 0 10 20 ?40 ?20 0 20 40 60 D a i...??F] (=?0.678?[W/(m2?K)]) Different thermal?mass?with?constant?U 0.6 0.62 0.64 0.66 0.68 0.7 0.72 0.74 MC=3 MC=8 MC=10 MC=20 U ? [ W / ( m 2 ? K ) ] Model?1 Model?2 True?value Model?1:?????? ? ?? ? ????? ? ? Model?2...

Masuda, H.; Claridge, D. E.

2012-01-01T23:59:59.000Z

11

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

12

Ensemble regression : using ensemble model output for atmospheric dynamics and prediction  

E-Print Network (OSTI)

Ensemble regression (ER) is a linear inversion technique that uses ensemble statistics from atmospheric model output to make dynamical inferences and forecasts. ER defines a multivariate regression operator using ensemble ...

Gombos, Daniel (Daniel Lawrence)

2009-01-01T23:59:59.000Z

13

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.

14

ELECTRICITY CONSUMPTION IN THE INDUSTRIAL SECTOR OF JORDAN: APPLICATION OF MULTIVARIATE LINEAR REGRESSION AND ADAPTIVE NEURO?FUZZY TECHNIQUES  

Science Journals Connector (OSTI)

In this study two techniques for modeling electricity consumption of the Jordanian industrial sector are presented: (i) multivariate linear regression and (ii) neuro?fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments number of employees electricity tariff prevailing fuel prices production outputs capacity utilizations and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro?fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However comparison that is based on the square root average squared error of data suggests that the neuro?fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work using different methods for other countries.

M. Samhouri; A. Al?Ghandoor; R. H. Fouad

2009-01-01T23:59:59.000Z

15

lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R  

Science Journals Connector (OSTI)

......studies (GWAS). Current implementations test the effect of one or more genetic markers...model that allows composite hypothesis tests to consider genotype interactions with...genome-wide association studies (GWAS) test statistics and can lead to a substantial......

Gabriel E. Hoffman; Jason G. Mezey; Eric E. Schadt

2014-11-01T23:59:59.000Z

16

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

17

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

18

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

19

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.

20

Log-Linear Models a.k.a. Logistic Regression,  

E-Print Network (OSTI)

(statistics) 2 #12;2 Probability is Useful We love probability distributions! summary of half of the course (statistics) 2 #12;2 Probability is Useful We love probability distributions! We've learned how to define & use p(...) functions. summary of half of the course (statistics) 2 #12;2 Probability is Useful We

Smith, David 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.


21

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

22

IE 361 Module 7 Calibration Studies and Inference Based on Simple Linear Regression  

E-Print Network (OSTI)

¯x)2 (x ¯x)2 where the least squares line is ^y = b0 + b1x and sLF is an estimate of derived from regression output, sLF = p MSE = "root mean square error" is a kind of estimated repeatability standard" using = n 2 degrees of freedom and limits sLF s n 2 2 upper and sLF s n 2 2 lower The least squares

Vardeman, Stephen B.

23

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

SciTech Connect

A central issue in contemporary science is the development of nonlinear data driven statisticaldynamical 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 (eastwest) 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

24

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

25

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

26

Limma: Linear Models for Microarray Data  

E-Print Network (OSTI)

397 23 Limma: Linear Models for Microarray Data Gordon K. Smyth Abstract A survey is given correction and control spots in conjunction with linear modelling is illustrated on the 7 data. 23.1 Introduction Limma1 is a package for differential expression analysis of data arising from microarray

Smyth, Gordon K.

27

Orthodontics diagnostic based on multinomial logistic regression model  

Science Journals Connector (OSTI)

The main objective of this study is evaluate the influence of several covariates in the occurrence of two types of vertical jaw dysplasia (open bite and deepbite) in orthodontics field. The study of vertical jaw dysplasia is of great interest to the ... Keywords: deepbite, hyoid bone (HB), logit, multinomial logistic regression, open bite, stepwise

Ana Cristina Braga; Vanda Urzal; A. Pinho Ferreira

2013-06-01T23:59:59.000Z

28

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

29

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

30

Regression Models for Demand Reduction based on Cluster Analysis of Load  

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

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

31

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

32

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

33

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

34

Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building  

E-Print Network (OSTI)

Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building C and Model Building Cong Liu, Tao Shi and Yoonkyung Lee Department of Statistics, The Ohio State University at two stages of statistical modeling, namely screening and formal model building, with different goals

Shi, Tao

35

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

Science Journals Connector (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 ... Keywords: Ensemble Kalman filter, Multi-level models, Nonlinear regression models, Parameter estimation of stochastic differential equations

John Harlim; Adam Mahdi; Andrew J. Majda

2014-01-01T23:59:59.000Z

36

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network (OSTI)

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

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

37

Estimation in regression models with externally estimated parameters  

Science Journals Connector (OSTI)

......compartmental system and involves...METABOLISM) Foster et al...kinetic model to study the early...2000; Wheeler and Bailer...G. S., FOSTER, D. AND...and Hall. FOSTER, D. M...environmental systems. In Patil...Wiley. WHEELER, M. W...simulation study of methods......

R. Todd Ogden; Thaddeus Tarpey

2006-01-01T23:59:59.000Z

38

Feature modeling using polynomial classifiers and stepwise regression  

Science Journals Connector (OSTI)

In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as the dimensionality of the feature ... Keywords: Image/video processing, Pattern classification, Polynomial classifier, Vision-based intelligent systems

T. Shanableh; K. Assaleh

2010-06-01T23:59:59.000Z

39

Language models for financial news recommendation  

Science Journals Connector (OSTI)

Keywords: application, evaluation, language models, piecewise linear regression, recommender system, text mining, time series

Victor Lavrenko; Matt Schmill; Dawn Lawrie; Paul Ogilvie; David Jensen; James Allan

2000-11-01T23:59:59.000Z

40

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

E-Print Network (OSTI)

in®ll drilling recovery model is capable of forecasting the oil recovery with less error variance®ll drilling recovery eciency. The approach we take here is stat- istical. It is based on an oil recoveryNon-parametric regression and neural-network in®ll drilling recovery models for carbonate

Valkó, Peter

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 spatiotemporal auto-regressive moving average model for solar radiation  

E-Print Network (OSTI)

1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two yearsA spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D, is important in many hydrological, agricultural and energy contexts. To assess solar energy potential, data

Stone, J. V.

42

Testing for Climate Change: An Application of the Two-Phase Regression Model  

Science Journals Connector (OSTI)

A statistical test for detecting a change in the behavior of an annual temperature series is presented. The test is based on the two-phase regression model. By trading the hypothesized time of change as an unknown parameter, the approach allows ...

Andrew R. Solow

1987-10-01T23:59:59.000Z

43

Fisheries Research 78 (2006) 309322 A Poisson and negative binomial regression model of sea turtle  

E-Print Network (OSTI)

Fisheries Research 78 (2006) 309­322 A Poisson and negative binomial regression model of sea turtle February 2005; received in revised form 28 November 2005; accepted 15 December 2005 Abstract Sea turtle measures, including a swordfish harvest ban, have been adopted to protect sea turtles. This study explores

Hawai'i at Manoa, University of

44

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.

45

Linear amplifier model for optomechanical systems  

Science Journals Connector (OSTI)

We model optomechanical systems as linear optical amplifiers. This provides a unified treatment of diverse optomechanical phenomena. We emphasize, in particular, the relationship between ponderomotive squeezing and optomechanically induced transparency, two foci of current research. We characterize the amplifier response to quantum and applied classical fluctuations, both optical and mechanical. Further, we apply these results to establish quantum limits on external force sensing both on and off cavity resonance. We find that the maximum sensitivity attained on resonance constitutes an absolute upper limit, not surpassed when detuning off cavity resonance. The theory is extended to a two-sided cavity with losses and limited detection efficiency.

Thierry Botter; Daniel W. C. Brooks; Nathan Brahms; Sydney Schreppler; Dan M. Stamper-Kurn

2012-01-09T23:59:59.000Z

46

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

47

Development and validation of regression models to predict monthly heating demand for residential buildings  

Science Journals Connector (OSTI)

The present research work concerns development of regression models to predict the monthly heating demand for single-family residential sector in temperate climates, with the aim to be used by architects or design engineers as support tools in the very first stage of their projects in finding efficiently energetic solutions. Another interest to use such simplified models is to make it possible a very quick parametric study in order to optimize the building structure versus environmental or economic criteria. All the energy prediction models were based on an extended database obtained by dynamic simulations for 16 major cities of France. The inputs for the regression models are the building shape factor, the building envelope U-value, the window to floor area ratio, the building time constant and the climate which is defined as function of the sol-air temperature and heating set-point. If the neural network (NN) methods could give precise representations in predicting energy use, with the advantage that they are capable of adjusting themselves to unexpected pattern changes in the incoming data, the multiple regression analysis was also found to be an efficient method, nevertheless with the requirement that an extended database should be used for the regression. The validation is probably the most important level when trying to find prediction models, so 270 different scenarios are analysed in this research work for different inputs of the models. It has been established that the energy equations obtained can do predictions quite well, a maximum deviation between the predicted and the simulated is noticed to be 5.1% for Nice climate, with an average error of 2%. In this paper, we also show that is possible to predict the building heating demand even for more complex scenarios, when the construction is adjacent to non-heated spaces, basements or roof attics.

Tiberiu Catalina; Joseph Virgone; Eric Blanco

2008-01-01T23:59:59.000Z

48

Variational inferences for partially linear additive models with variable selection  

Science Journals Connector (OSTI)

This article develops a mean field variational Bayes approximation algorithm for posterior inferences of the recently proposed partially linear additive models with simultaneous and automatic variable selection and linear/nonlinear component identification ... Keywords: Bayesian inference, Mean field variational Bayes, Model selection, Partially linear additive model

Kaifeng Zhao, Heng Lian

2014-12-01T23:59:59.000Z

49

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

50

Regional flood hydrology in a semi-arid catchment using a GLS regression model  

Science Journals Connector (OSTI)

Summary The regional flood frequency hydrology of the 86,000km2 and semi-arid Ebro catchment is investigated using an extended generalised least square model that includes separate descriptions for sampling errors and model errors. The Ebro catchment is characterised by large hydro-climatic heterogeneities among sub-regions. However, differences in flood processes among sites are better explained by a set of new catchment descriptors introduced into hydrological regression models, such as new characteristics derived from the slope of flow duration curves, the ratio of mean annual precipitation to extreme precipitations and the aridity index. These additions enabled a more direct link to be established between the general flow regime and the extreme flood characteristics through-out the entire catchment. The new regression models developed in this study were compared to a set of existing models recommended for flood frequency estimation in Spain. It was found that the generalised least squares model developed in this study improves the existing ordinary least squares models both at regional and trans-regional scales. An adequate description of flood processes is obtained and, as a direct consequence, more reliable flood predictions in ungauged catchments are achieved.

Luis Mediero; Thomas R. Kjeldsen

2014-01-01T23:59:59.000Z

51

A support vector regression model for predicting tunnel boring machine penetration rates  

Science Journals Connector (OSTI)

Abstract With widespread increasing applications of mechanized tunneling in almost all ground conditions, prediction of tunnel boring machine (TBM) performance is required for time planning, cost control and choice of excavation method in order to make tunneling economical. Penetration rate is a principal measure of full-face TBM performance and is used to evaluate the feasibility of the machine and predict advance rate of excavation. This research aims at developing a regression model to predict penetration rate of TBM in hard rock conditions based on a new artificial intelligence (AI) algorithm namely support vector regression (SVR). For this purpose, the Queens Water Tunnel, in New York City, was selected as a case study to test the proposed model. In order to find out the optimum values of the parameters and prevent over-fitting, 80% of the total data were selected randomly for training set and the rest were kept for testing the model. According to the results, it can be said that the proposed model is a useful and reliable means to predict TBM penetration rate provided that a suitable dataset exists. From the prediction results of training and testing samples, the squared correlation coefficient (R2) between the observed and predicted values of the proposed model was obtained 0.99 and 0.95, respectively, which shows a high conformity between predicted and actual penetration rate.

Satar Mahdevari; Kourosh Shahriar; Saffet Yagiz; Mohsen Akbarpour Shirazi

2014-01-01T23:59:59.000Z

52

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

53

Linearized Functional Minimization for Inverse Modeling  

SciTech Connect

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

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

2012-06-21T23:59:59.000Z

54

Diagnostics for multiple regression problems  

SciTech Connect

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

55

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

56

Automatic Digital Surface Model (DSM) Generation from Linear Array Images  

E-Print Network (OSTI)

Automatic Digital Surface Model (DSM) Generation from Linear Array Images A dissertation submitted-examiner Presented by Li Zhang Zurich 2005 #12;IGP Mitteilungen Nr. 88 Automatic Digital Surface Model (DSM-906467-55-4 #12;DISS. ETH NO. 16078 Automatic Digital Surface Model (DSM) Generation from Linear Array Images

Giger, Christine

57

ROC curves for regression  

Science Journals Connector (OSTI)

Receiver Operating Characteristic (ROC) analysis is one of the most popular tools for the visual assessment and understanding of classifier performance. In this paper we present a new representation of regression models in the so-called regression ROC ... Keywords: Asymmetric loss, Cost-sensitive regression, Error variance, MSE decomposition, Operating condition, ROC Curves

Jos Hernndez-Orallo

2013-12-01T23:59:59.000Z

58

A study of preproject planning and project success using \\{ANNs\\} and regression models  

Science Journals Connector (OSTI)

It has long been recognized by the industry practitioners that how well preproject planning is conducted has a great impact on project outcome. Through industry project data collection and model analysis, this research intends to investigate the relationship between preproject planning and project success. Preproject planning and project performance information from 62 industrial projects and 78 building projects, representing approximately $5billion U.S.D. in total construction cost, is collected and used for this research analysis. Based on the information obtained, preproject planning is identified as having direct impact on the project success (cost and schedule performance). Two techniques were then used to develop models for predicting cost and schedule performance: statistical regression analysis, and artificial neural networks (ANNs). The research results provide a valuable source of information that supports better planning in the early stage of the project life cycle and have positive impact on the final project outcome.

Yu-Ren Wang; G. Edward Gibson Jr.

2010-01-01T23:59:59.000Z

59

Testing Generalized Linear Models Using Smoothing Spline Methods  

E-Print Network (OSTI)

Testing Generalized Linear Models Using Smoothing Spline Methods Anna Liu, Wendy Meiring and Yuedong Wang University of California, Santa Barbara Abstract This article considers testing exponential families. The tests developed are based on the connection between the smoothing spline models

Meiring, Wendy

60

Development of Land Use Regression Models for elemental, organic carbon, PAH and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas  

Science Journals Connector (OSTI)

Land use regression (LUR) models have been used to model concentrations of mainly traffic related air pollutants (nitrogen oxides (NOx), particulate matter (PM) mass or absorbance). ...

Aleksandra Jedynska; Gerard Hoek; Meng Wang; Marloes Eeftens; Josef Cyrys; Menno Keuken; Christophe Ampe; Rob Beelen; Giulia Cesaroni; Francesco Forastiere; Marta Cirach; Kees de Hoogh; Audrey De Nazelle; Wenche Nystad; Christophe Declercq; Kirsten Thorup Eriksen; Konstantina Dimakopoulou; Timo Lanki; Kees Meliefste; Mark J Nieuwenhuijsen; Tarja Yli-Tuomi; Ole Raaschou-Nielsen; Bert Brunekreef; Ingeborg Kooter

2014-10-15T23:59:59.000Z

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


61

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

62

Estimation of the linear-plateau segmented regression model in the presence of measurement error  

E-Print Network (OSTI)

, with the asymptotic distribution imposed 34 2= u 4. 3 Histograms of & and &0 for n = 40, F = 7, e = 0. 8, 2= =2 0 0 x x v = 0. 1, v = 0. 2, 7 = 1. 0, with the best fitting normal 2= e ' u distribution imposed 36 4. 4 Histograms of & and & for n = 40, u = 7, c = 0...] = / [lim C'(v )] f (t) dt + P [lim m(-v ) ] f (t) dt m x m x m~ by Lease B. l, = 0, since lim @(v ) = @(- ) for t & Y , m lim @(-v ) = @(~) for t & Y m Therefore, in the limit, the probability of misclassification is zero. When the join point, Y...

Grimshaw, Scott D.

2012-06-07T23:59:59.000Z

63

Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models  

Science Journals Connector (OSTI)

This paper details the architecture and describes the preliminary experimentation with the proposed framework for anomaly detection in medical wireless body area networks for ubiquitous patient and healthcare monitoring. The architecture integrates novel ... Keywords: Healthcare Monitoring, Malicious Attacks, Medical Systems, Patient Anomaly Detection, Sensor Faults, Wireless Body Area Networks

Osman Salem, Alexey Guerassimov, Ahmed Mehaoua, Anthony Marcus, Borko Furht

2014-01-01T23:59:59.000Z

64

Visual comparison of software cost estimation models by regression error characteristic analysis  

Science Journals Connector (OSTI)

The well-balanced management of a software project is a critical task accomplished at the early stages of the development process. Due to this requirement, a wide variety of prediction methods has been introduced in order to identify the best strategy ... Keywords: Estimation by analogy, Regression analysis, Regression error characteristic curves, Software cost estimation

Nikolaos Mittas; Lefteris Angelis

2010-04-01T23:59:59.000Z

65

Reactive scattering in the bending-corrected rotating linear model  

SciTech Connect

We review the theory and applications of the Bending-Corrected Rotating Linear Model (BCRLM) to problems in the quantum description of reactions between atoms and diatomic molecules. 110 refs.

Walker, R.B.; Hayes, E.F.

1985-01-01T23:59:59.000Z

66

Ordinal Logistic Regression Model of Failure Mode and Effects Analysis (FMEA) in Pharmaceutical Tabletting Tools  

Science Journals Connector (OSTI)

The main objective of this paper is to use Ordinal Logistic Regression Modeling (OLRM) to predict and to investigate the relationship(s) between the different types of failures encountered in tableting tools of pharmaceutical industry and relevant tablet- and punch attributes. This would help minimize the occurrence of such failures in and avoid potential failure occurrences in future punch designs. Three punch attributes (punch diameter, location and shape) and five product attributes (tablet mass (gm), hardness (Kp), thickness (mm), moisture content (percent loss on drying (LOD %)) and sieve size (mm)) have been investigated in terms of their relative contributions towards different failure types. The present OLRM model has been successfully applied to the predict failure types according to the aforementioned factors. Furthermore, OLRM quantitatively links and evaluates the effects and contribution of each of these factors to the occurrence of different failure types. The OLRM methodology has been validated conveniently and proved to be powerful prediction tool. This is indicated by the marginal 2.4% error percentage encountered.

Mohammad D. AL-Tahat; Abdul Kareem M. Abdul Jawwad; Yousef L. Abu Nahleh

2013-01-01T23:59:59.000Z

67

An Earned Schedule-based regression model to improve cost estimate at completion  

Science Journals Connector (OSTI)

Abstract Traditional Earned Value Management (EVM) index-based methods for Cost Estimate at Completion (CEAC) of an ongoing project have been known for their limitations inherent with both the assumption that past EVM data is the best available information and early-stage unreliability. In an attempt to overcome such limitations, a new CEAC methodology is proposed based on a modified index-based formula predicting expected cost for the remaining work with the Gompertz growth model via nonlinear regression curve fitting. Moreover, the proposed equation accounts for the schedule progress as a factor of cost performance. To this end, it integrates into its equation an Earned Schedule-based factor indicating expected duration at completion. The proposed model shows itself to be more accurate and precise in all early, middle, and late stage estimates than those of four compared traditional index-based formulae. The developed methodology is a practical tool for Project Managers to better incorporate the progress status into the task of computing CEAC and is a contribution to extending EVM research to better capture the inherent relation between cost and schedule factors.

Timur Narbaev; Alberto De Marco

2014-01-01T23:59:59.000Z

68

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

69

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

70

A modelling methodology for the analysis of radon potential based on environmental geology and geographically weighted regression  

Science Journals Connector (OSTI)

Many countries have promoted environmental studies and established national radon programmes in order to identify those geographical areas where high indoor exposure risk of people to this radioactive gas are more likely to be found (often referred to ... Keywords: Environmental geology, Environmental radon potential modelling, Geographically Weighted Regression, Geostatistic, Indoor radon, Local spatial effect

Antonio Pasculli; Sergio Palermi; Annalina Sarra; Tommaso Piacentini; Enrico Miccadei

2014-04-01T23:59:59.000Z

71

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

72

Research of least squares support vector regression based on differential evolution algorithm in short-term load forecasting model  

Science Journals Connector (OSTI)

To improve the accuracy of short-term load forecasting a differential evolution algorithm (DE) based least squares support vector regression (LSSVR) method is proposed in this paper. Through optimizing the regularization parameter and kernel parameter of the LSSVR by DE a short-term load forecasting model which can take load affected factors such as meteorology weather and date types into account is built. The proposed LSSVR method is proved by implementing short-term load forecasting on the real historical data of Yangquan power system in China. The average forecasting error is less than 1.6% which shows better accuracy and stability than the traditional LSSVR and Support vector regression. The result of implementation of short-term load forecasting demonstrates that the hybrid model can be used in the short-term forecasting of the power system more efficiently.

2014-01-01T23:59:59.000Z

73

Nuclear fusion control-oriented plasma current linear models  

Science Journals Connector (OSTI)

The control of plasma in nuclear fusion has been revealed as a promising application of Control Engineering, with increasing interest in the control community during last years. In this paper it is developed a control-oriented linear model for the control ...

Aitor J. Garrido; Izaskun Garrido; M. Goretti Sevillano; Mikel Alberdi; Modesto Amundarain; Oscar Barambones; Manuel De La Sen

2010-07-01T23:59:59.000Z

74

Modeling of a detonation driven, linear electric generator facility  

E-Print Network (OSTI)

Modeling of a detonation driven, linear electric generator facility E.M. Braun, E. Baydar, and F.K. Lu 1 Introduction The pulsed detonation engine (PDE) has been developed over several decades due must consider if the unique properties of the detonation wave can be utilized to in- crease efficiency

Texas at Arlington, University of

75

Linear theory for filtering nonlinear multiscale systems with model error  

Science Journals Connector (OSTI)

...AJ , and J Harlim. 2013 Physics constrained nonlinear regression...for statistical estimation of physics constrained nonlinear regression...Warwick. 42 Gardiner, CW . 1997 Handbook of stochastic methods for physics, chemistry, and the natural...

2014-01-01T23:59:59.000Z

76

NON-LINEAR MODELING OF THE RHIC INTERACTION REGIONS.  

SciTech Connect

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

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

2004-07-05T23:59:59.000Z

77

Linear delta expansion applied to the O'Raifeartaigh model  

SciTech Connect

We reassess the method of the linear delta expansion for the calculation of effective potentials in superspace, by adopting the improved version of the super-Feynman rules in the framework of the O'Raifeartaigh model for spontaneous supersymmetry breaking. The effective potential is calculated using both the fastest apparent convergence and the principle of minimal sensitivity criteria and the consistency and efficacy of the method are checked in deriving the Coleman-Weinberg potential.

Abdalla, M. C. B.; Senise, Carlos R. Jr. [Instituto de Fisica Teorica, UNESP, Rua Pamplona 145, Bela Vista, Sao Paulo, SP, 01405-900 (Brazil); Helayeel-Neto, J. A. [Centro Brasileiro de Pesquisas Fisicas, Rua Dr. Xavier Sigaud 150, Urca, Rio de Janeiro, RJ, 22290-180 (Brazil); Nedel, Daniel L. [Universidade Federal do Pampa, Rua Carlos Barbosa S/N, Bairro Getulio Vargas, 96412-420, Bage, RS (Brazil)

2009-09-15T23:59:59.000Z

78

Evaluation of the Linear-Nonthreshold Dose-Response Model  

Science Journals Connector (OSTI)

National Council on Radiation Protection and Measurements MD: NCRP (2001) 287 pp, $50.00 Lively debate continues on the nature of the dose-response relationship for the excess risk of cancer following exposure to ionising radiation at low doses and/or low dose rates. Clearly, these are the exposure conditions of principal importance to radiological protection. Presently, for the purposes of radiological protection, the assumption is made that the underlying dose-response relationship is linear-quadratic with no threshold, and that in the low dose and/or low dose rate region this curve can be approximated by a straight line with a gradient half that of the linear relationship which (for cancers other than leukaemia) is appropriate for moderate to high doses received at high dose rates. This, in essence, is the `linear-nonthreshold (LNT) dose-response model' referred to in the title of NCRP Report No 136. The debate centres on whether this model is appropriate or not; but it is complicated by the marked polarisation of those that disagree with this model and with the vehemence that characterises the debate. At one extreme are those who argue for a supra-linear dose-response and claim that the assumption of linearity seriously underestimates the risks to health of low dose exposures. At the other extreme are those who argue for a threshold in the dose-response at some non-zero dose, or even for beneficial effects of irradiation at low doses (`radiation hormesis'). Understandably, the former viewpoint tends to be held by anti-nuclear activists whereas the latter tends to be adopted by pro-nuclear pressure groups, and this political backdrop does not assist a balanced discussion of this important issue. In the USA, considerable lobbying exists from the threshold/hormesis camp, and this can also be seen in France and Japan. Unfortunately, although there are reasonable scientific points to be made in favour of mechanisms that ameliorate the effects of radiation at low doses, the attitude struck by some in this camp is that support of the `LNT hypothesis' is quite unreasonable and flies in the face of the evidence. Obviously, this point of view brings into question the motivation of those who support the position presently adopted by, for example, the International Commission on Radiological Protection, and leads to acrimonious and unconstructive discussions. The same is true of the other extreme wing, where radiological protection is viewed as being disturbingly lax as a result of pressure being brought to bear by the `military-industrial complex', with scientists being complicit in this conspiracy. It is into this storm that NCRP has bravely marched in publishing its Report No 136. The re-evaluation of the scientific evidence reported in NCRP Report No 136 was carried out by Scientific Committee 1-6 of the NCRP which was charged to `reassess the weight of scientific evidence for and against the linear-nonthreshold dose-response model, without reference to associated policy implications'. In essence, the linear-nonthreshold dose-response model is based upon the assumption that biological damage which, if unrepaired, could lead to cancer is directly proportional to dose throughout the range of dose and dose rates of importance in routine radiological protection. Not only did NCRP Scientific Committee 1-6 deliberate amongst themselves, but the committee sought and obtained written and oral opinion from several scientists in the USA who held different views on the subject. The report begins by examining the way in which radiation energy is deposited in cells. It concludes that at low doses and low dose rates the relevant biological damage would be produced by a `single hit' because of the spatial and temporal sparseness of the events causing the damage. Since cancer is considered to be monoclonal (single cell) in origin, this suggests that the dose-response is linear at low doses with no threshold. However, it is possible that the whole organism may be more capable of repairing damage at low doses and low dose rates, which would m

79

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

80

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

E-Print Network (OSTI)

was calculated to be -8.78oC (Moscow in January) and maximum of 42.9 oC (Abu-Dhabi in August). The hourly values of outdoor air temperature and solar radiation were obtained using Trnsys (Trnsys, 2006) meteonorm files. b) Glazing surface and distribution... the ,,black-box,, function, dynamic simulations were conducted using Trnsys 16 software (Trnsys, 2005). The Trnsys building model, known as, Type 56, is compliant with general requirements of European Directive on the energy performance of buildings...

Catalina, T.; Virgone, J.

2011-01-01T23:59:59.000Z

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.


81

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

82

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 Robinsons 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

83

Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies  

Science Journals Connector (OSTI)

AbstractBackground Land-use regression (LUR) and dispersion models (DM) are commonly used for estimating individual air pollution exposure in population studies. Few comparisons have however been made of the performance of these methods. Objectives Within the European Study of Cohorts for Air Pollution Effects (ESCAPE) we explored the differences between LUR and DM estimates for NO2, PM10 and PM2.5. Methods The ESCAPE study developed LUR models for outdoor air pollution levels based on a harmonised monitoring campaign. In thirteen ESCAPE study areas we further applied dispersion models. We compared LUR and DM estimates at the residential addresses of participants in 13 cohorts for NO2; 7 for PM10 and 4 for PM2.5. Additionally, we compared the DM estimates with measured concentrations at the 2040 ESCAPE monitoring sites in each area. Results The median Pearson R (range) correlation coefficients between LUR and DM estimates for the annual average concentrations of NO2, PM10 and PM2.5 were 0.75 (0.190.89), 0.39 (0.230.66) and 0.29 (0.220.81) for 112,971 (13 study areas), 69,591 (7) and 28,519 (4) addresses respectively. The median Pearson R correlation coefficients (range) between DM estimates and ESCAPE measurements were of 0.74 (0.090.86) for NO2; 0.58 (0.360.88) for PM10 and 0.58 (0.390.66) for PM2.5. Conclusions LUR and dispersion model estimates correlated on average well for NO2 but only moderately for PM10 and PM2.5, with large variability across areas. DM predicted a moderate to large proportion of the measured variation for NO2 but less for PM10 and PM2.5.

Kees de Hoogh; Michal Korek; Danielle Vienneau; Menno Keuken; Jaakko Kukkonen; Mark J. Nieuwenhuijsen; Chiara Badaloni; Rob Beelen; Andrea Bolignano; Giulia Cesaroni; Marta Cirach Pradas; Josef Cyrys; John Douros; Marloes Eeftens; Francesco Forastiere; Bertil Forsberg; Kateryna Fuks; Ulrike Gehring; Alexandros Gryparis; John Gulliver; Anna L Hansell; Barbara Hoffmann; Christer Johansson; Sander Jonkers; Leena Kangas; Klea Katsouyanni; Nino Knzli; Timo Lanki; Michael Memmesheimer; Nicolas Moussiopoulos; Lars Modig; Gran Pershagen; Nicole Probst-Hensch; Christian Schindler; Tamara Schikowski; Dorothee Sugiri; Oriol Teixid; Ming-Yi Tsai; Tarja Yli-Tuomi; Bert Brunekreef; Gerard Hoek; Tom Bellander

2014-01-01T23:59:59.000Z

84

A Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue  

Science Journals Connector (OSTI)

We present a novel Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue. Linear solids are represented by the Lagrangian formulation of the stress-strain relationship that is extended to nonlinear solids ... Keywords: Lagrangian particle methods, Linear and nonlinear elasticity, Liver tissue simulation

Simone E. Hieber; Petros Koumoutsakos

2008-11-01T23:59:59.000Z

85

H? repetitive control of linear systems based on Two-Dimensional model  

Science Journals Connector (OSTI)

This paper concerns with the H? repetitive control of linear system based on Two-Dimensional (2D) system theory. First, a 2D model is established to describe the control behaviour within a repetition ... Keywords: 2D system, H-infinity repetitive control, LMI, linear matrix inequality, linear systems, stability, state feedback control

Yong-Hong Lan; Min Wu; Jin-Hua She

2009-08-01T23:59:59.000Z

86

Composite materials non-linear modelling for long fibre-reinforced laminates  

Science Journals Connector (OSTI)

An innovative computational methodology is proposed for modelling the material non-linear mechanical behaviour of FRP structures. To model a single unidirectional composite lamina, a serial-parallel (SP) continuum approach has been developed assuming ... Keywords: Composite failure, FEM, FRP, Long fibre laminates, Non-linear modelling

Fernando Rastellini; Sergio Oller; Omar Salomn; Eugenio Oate

2008-05-01T23:59:59.000Z

87

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.

88

Verification of a technical system model with linear temporal logic  

Science Journals Connector (OSTI)

We consider the verification problem for an electromechanical device with a variable number of connectors and solve it with the modal logic LTL (Linear Temporal Logic). In the course of the analysis, we prove continuity and unambiguity theorems for the ...

A. N. Nepeivoda

2012-09-01T23:59:59.000Z

89

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

SciTech Connect

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

90

Logistic Model Trees + Niels Landwehr  

E-Print Network (OSTI)

Logistic Model Trees + Niels Landwehr Institute for Computer Science, University of Freiburg for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data

Frank, Eibe

91

Logistic Model Trees Niels Landwehr  

E-Print Network (OSTI)

Logistic Model Trees Niels Landwehr Institute for Computer Science, University of Freiburg for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data

Frank, Eibe

92

Longitudinal Data Analysis Using Multilevel Linear Modeling (MLM): Fitting an Optimal Variance-Covariance Structure  

E-Print Network (OSTI)

LONGITUDINAL DATA ANALYSIS USING MULTILEVEL LINEAR MODELING (MLM): FITTING AN OPTIMAL VARIANCE-COVARIANCE STRUCTURE A Dissertation by YUAN-HSUAN LEE Submitted to the Office of Graduate Studies of Texas A&M University... in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2010 Major Subject: Educational Psychology Longitudinal Data Analysis Using Multilevel Linear Modeling (MLM...

Lee, Yuan-Hsuan

2011-10-21T23:59:59.000Z

93

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

94

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

SciTech Connect

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

95

Bayesian wavelet shrinkage in transformation based linear models  

E-Print Network (OSTI)

Most of the noise models in signal processing are either additive or multiplicative. However, the widely held wavelet shrinkage estimators for signal denoising deal only with additive noise. In this thesis, a new Bayesian wavelet shrinkage model...

Ray, Shubhankar

2012-06-07T23:59:59.000Z

96

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 nonlinear airpath model of the diesel engine will be described in Section III. The model will be derived

Cambridge, University of

97

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

98

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 Mller

2014-03-03T23:59:59.000Z

99

Smoothing in dynamic generalized linear models by Gibbs sampling  

Science Journals Connector (OSTI)

Optimal filtering and smoothing in non-Gaussian dynamic models based on ... approach for obtaining posterior mean smoothers in the exponential family framework. Implementation and performance are investigated...

Ludwig Fahrmeir; Wolfgang Hennevogl

1992-01-01T23:59:59.000Z

100

Artificial Neural Networks for Modelling and Control of Non-Linear Systems  

Science Journals Connector (OSTI)

From the Publisher:Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are the universal approximation ability, the ...

Johan A. Suykens; J. Vandewalle; Bart L. R. de Moor

1996-01-01T23:59:59.000Z

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


101

Threshold estimation from the linear dose-response model: Method and radiation data  

Science Journals Connector (OSTI)

The linear dose-response model is considered a conservative, nonthreshold relationship. This is based on a confusion between the sufficient condition (that is, zero slope at zero dose) and the necessary condit...

David J. Schaeffer; Konanur G. Janardan; Harold W. Kerster

1981-01-01T23:59:59.000Z

102

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

103

Linear and nonlinear instabilities in unified dark energy models  

SciTech Connect

We revisit the paradigm of unified dark energy discussing in detail the averaging problem in this type of scenario, highlighting the need for a full nonlinear treatment. We also address the question of if and how models with one or several dark fluids can be observationally distinguished. Simpler and physically clearer derivations of some key results, most notably on the relation between the generalized Chaplygin gas and the standard ({lambda}CDM) 'concordance' model and on a Jeans-type small-scale instability of some coupled dark energy/dark matter models are presented.

Avelino, P. P.; Beca, L. M. G. [Centro de Fisica do Porto, Rua do Campo Alegre 687, 4169-007 Porto (Portugal); Departamento de Fisica da Faculdade de Ciencias da Universidade do Porto, Rua do Campo Alegre 687, 4169-007 Porto (Portugal); Martins, C. J. A. P. [Centro de Fisica do Porto, Rua do Campo Alegre 687, 4169-007 Porto (Portugal); Centro de Astrofisica, Universidade do Porto, Rua das Estrelas s/n, 4150-762 Porto (Portugal); Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA (United Kingdom)

2008-03-15T23:59:59.000Z

104

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

SciTech Connect

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

Trudnowski, D.J.

1992-12-01T23:59:59.000Z

105

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

SciTech Connect

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

Trudnowski, D.J.

1992-12-01T23:59:59.000Z

106

TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION  

E-Print Network (OSTI)

TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION the computing time is still an open challenge. After spacial discretisation, the thermal model of a building is demonstrated by its application to the simulation of a multi-zones building. THERMAL AND AIRFLOW MODELS

Paris-Sud XI, Université de

107

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

108

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

109

Non-linear constitutive modeling of ferroelectrics Chad M. Landis *  

E-Print Network (OSTI)

including sonar, MEMS devices, fuel injectors for high efficiency-low emission diesel engines, actuators Engineering and Materials Science, MS 321, Rice University, P.O. Box 1892, Houston, TX 77251-1892, USA a fundamental coupling between the electrical and mechanical fields in these materials, and constitutive models

110

A Linear Parabolic Trough Solar Collector Performance Model  

E-Print Network (OSTI)

: 1 bar (winter) Pressure in solar collection loop: 10 bar (Summer), 5 bar (winter) Pressure in main chilled water loop : 1 bar (summer) TIC TIC TIC TIC Space Thermostat May 18,06 Parabolic Solar Trough Collector: 52.44 m^2 / 4 modules... & winter) Chilled/Heat Water Storage Current Existing Future Installation Current Installation TIC TIC EIC Temperature indicator controller Energy indicator controller Fig. 1 IW solar heating and cooling system 1.3 EES Model In order to understand...

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

2006-01-01T23:59:59.000Z

111

Vibration Model Validation for Linear Collider Detector Platforms  

SciTech Connect

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

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

2012-05-16T23:59:59.000Z

112

Logistic Model Trees Niels Landwehr1,2  

E-Print Network (OSTI)

Logistic Model Trees Niels Landwehr1,2 , Mark Hall2 , and Eibe Frank2 1 Department of Computer problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data in a natural way

Frank, Eibe

113

The Wasserstein geometry of non-linear sigma models and the Hamilton-Perelman Ricci flow  

E-Print Network (OSTI)

Non linear sigma models are quantum field theories describing, in the large deviations sense, random fluctuations of harmonic maps between a Riemann surface and a Riemannian manifold. Via their formal renormalization group analysis, they provide a framework for possible generalizations of the Hamilton-Perelman Ricci flow. By exploiting the heat kernel embedding introduced by N. Gigli and C. Mantegazza, we show that the Wasserstein geometry of the space of probability measures over Riemannian metric measure spaces provides a natural setting for discussing the relation between non-linear sigma models and Ricci flow theory. This approach provides a rigorous model for the embedding of Ricci flow into the renormalization group flow for non linear sigma models, and characterizes a non-trivial generalization of the Hamilton-Perelman version of the Ricci flow. We discuss in detail the monotonicity and gradient flow properties of this extended flow.

Mauro Carfora

2014-05-05T23:59:59.000Z

114

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

SciTech Connect

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

115

The Ising model in a transverse field on comb-like ramified linear structures  

E-Print Network (OSTI)

The Ising model in a transverse field on comb-like ramified linear structures R. Jullien, K. A une méthode de renormalisation et des résultats exacts, le modèle d'Ising dans un champ transverse Combining a real space renormalization group method and exact results, the Ising model with a transverse

Paris-Sud XI, Université de

116

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

117

A Rewriting-Based Model Checker for the Linear Temporal Logic of Rewriting  

Science Journals Connector (OSTI)

This paper presents a model checker for LTLR, a subset of the temporal logic of rewriting TLR* extending linear temporal logic with spatial action patterns. Both LTLR and TLR* are very expressive logics generalizing well-known state-based and action-based ... Keywords: model checking, reflective transformation, rewriting logic, temporal logic of rewriting

Kyungmin Bae; Jos Meseguer

2012-12-01T23:59:59.000Z

118

Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 201314 Solar Energy Prediction Contest  

Science Journals Connector (OSTI)

Abstract In 2013, American Meteorological Society Committees on AI (artificial intelligence) Applications organized a short-term solar energy prediction competition aiming at predicting total daily solar energy received at 98 solar farms based on the outputs of various weather patterns of a numerical weather prediction model. In this paper, a methodology to solve this problem has been explained and the performance of ordinary LSR (least-square regression), regularized LSR and ANN(artificial neural network) models has been compared. In order to improve the generalization capability of the models, more experiments like variable segmentation, subspace feature sampling and ensembling of models have been conducted. It is observed that model accuracy can be improved by proper selection of input data segments. Further improvements can be obtained by ensemble of forecasts of different models. It is observed that the performance of an ensemble of ANN and LSR models is the best among all the proposed models in this work. As far as the competition is concerned, Gradient Boosting Regression Tree has turned out to be the best algorithm. The proposed ensemble of ANN and LSR model is able to show a relative improvement of 7.63% and 39.99% as compared to benchmark Spline Interpolation and Gaussian Mixture Model respectively.

S.K. Aggarwal; L.M. Saini

2014-01-01T23:59:59.000Z

119

Coal Price Index Forecast by a New Partial Least-Squares Regression  

Science Journals Connector (OSTI)

Deviation of coal price has great influence on growth of China's economic. Daily coal price indexes in Qinhuangdao were collected. Past twenty days were used to predict next day index. The principal components of twenty days were extracted. The function between output variable and components was fitted by linear, quadratic and exponential model. This improved traditional partial least-squares regression. Traditional method such as multivariate linear regression and polynomial regression were coming into comparing with our method. Improved quadratic partial least-squares obtained the smallest relative errors in mean and variance for ten reserved indexes. Those ten errors had minimum 0.3%, median 3.3% and maximum 9.7%. The ideal forecast precision certified that quadratic partial least-squares was suitable for coal price indexes.

Bo Zhang; Junhai Ma

2011-01-01T23:59:59.000Z

120

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

E-Print Network (OSTI)

, Enrico Ziob a Institute for Energy Technology, Halden, Norway b Polytechnic of Milan, Milan, Italy is very large and cannot be handled effectively by a single reconstruction model. This paper tackles this issue by resorting to an ensemble of reconstruction models in which each model handles a small group

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.


121

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.

122

Linear model-based estimation of blood pressure and cardiac output for Normal and Paranoid cases  

Science Journals Connector (OSTI)

Provisioning a generic simple linear mathematical model for Paranoid and Healthy cases leading to auxiliary investigation of the neuroleptic drugs effect imposed on cardiac output (CO) and blood pressure (BP). Multi-input single output system identification ... Keywords: Blood pressure, Cardiac output, Heart rate, MISO transfer function, Stroke volume, System identification

Mohamed Abdelkader Aboamer, Ahmad Taher Azar, Khaled Wahba, Abdallah S. Mohamed

2014-11-01T23:59:59.000Z

123

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

124

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

E-Print Network (OSTI)

and Modular Linear Flux-Switching Permanent Magnet Motor for Urban Rail Transit Applications Ruiwu Cao on a prototype motor. Index Terms--Flux-switching permanent magnet (FSPM) motor, linear motor, modeling. I Wang, and Wenxiang Zhao, Member, IEEE Abstract--In this paper, a complementary and modular linear flux-switching

Mi, Chunting "Chris"

125

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

126

Improved test statistics for the slope parameter in a simple linear functional model  

E-Print Network (OSTI)

of the Studentized test statistic based on the NL estimator of ()1, 1. 2 Survey of the literature A wide variety of sources exists from which to extract useful information for attacking the problem of testing hypotheses in the errors-in-variables model. Se... via simulation that these test statistics perform poorly in moderate to small sample sizes. 1. 3 Pzamewozk of Expositions This thesis is organized as follows. Chapter 2 presents a simple linear functional model, formulates the problem...

Ollivier, Vincent Raymond

2012-06-07T23:59:59.000Z

127

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

E-Print Network (OSTI)

A non-linear sigma model with scalar fields taking values on the sphere is described by means of stereographic maps. When the U(1) symmetry is gauged and mass terms are allowed, the model accommodates stable self-dual vortices of two kinds with different energies per unit of length and where the Higgs field winds at the cores around the two opposite poles of the sphere.

Alonso-Izquierdo, Alberto; Guilarte, Juan Mateos

2014-01-01T23:59:59.000Z

128

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

129

Computationally efficient Gaussian Process changepoint detection and regression  

E-Print Network (OSTI)

Most existing GP regression algorithms assume a single generative model, leading to poor performance when data are nonstationary, i.e. generated from multiple switching processes. Existing methods for GP regression over ...

Grande, Robert Conlin

2014-01-01T23:59:59.000Z

130

Modeling and analysis of aircraft non-linear components for harmonics analysis  

SciTech Connect

Modern commercial aircraft Electric Power Systems (EPS) include many nonlinear components which produce harmonics. The addition of all the current harmonics could result in a power system with unacceptable levels of voltage distortion. It is important to be able to predict the levels of voltage distortion at early program stages to correct any potential problems and avoid costly redesigns. In this paper the nature and sources of harmonic producing equipment are described. These sources of harmonics and their effect on aircraft power system operation are described. Models for various aircraft non-linear components are developed in this paper. These component models are used in a model of the Boeing 777 EPS which is used to calculate voltage harmonics for various airplane configurations and flight conditions. A description of this model and the models used for various components are given. Tests performed to validate these models are described. Comparison of experimental results with analytical model predictions are given.

Karimi, K.J. [Boeing Computer Services, Seattle, WA (United States); Voss, J. [Boeing Commercial Airplane Group, Seattle, WA (United States)

1995-12-31T23:59:59.000Z

131

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

132

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

133

A Rewriting-Based Model Checker for the Linear Temporal Logic of Rewriting  

Science Journals Connector (OSTI)

This paper presents a model checker for LTLR, a subset of the temporal logic of rewriting TLR* extending linear temporal logic with spatial action patterns. Both LTLR and TLR* are very expressive logics generalizing well-known state-based and action-based logics. Furthermore, the semantics of TLR* is given in terms of rewrite theories, so that the concurrent systems on which the LTLR properties are model checked can be specified at a very high level with rewrite rules. This paper answers a nontrivial challenge, namely, to be able to build a model checker to model check LTLR formulas on rewrite theories with relatively little effort by reusing Maude?s LTL model checker for rewrite theories. For this, the reflective features of both rewriting logic and its Maude implementation have proved extremely useful.

Kyungmin Bae; Jos Meseguer

2012-01-01T23:59:59.000Z

134

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

135

Utilising of linear and non-linear prediction tools for evaluation of penetration rate of Tunnel Boring Machine in hard rock condition  

Science Journals Connector (OSTI)

Predicting Tunnel Boring Machine (TBM) penetration rate is a crucial issue for the successful fulfilment of a mechanical tunnel project. Penetration rate depends on many factors such as intact rock properties, rock mass conditions and machine specifications. In this paper, linear and non-linear multiple regression as well as Artificial Neural Network (ANN) techniques were applied to predict the penetration rate of TBM. In developing of the proposed models, five parameters, which include Uniaxial Compressive Strength (UCS), Brazilian Tensile Strength (BTS), peak slope index (punch penetration), spacing of discontinuities (of weakness planes) and orientation of discontinuities with respect to the tunnel axis (? angle), were incorporated. For this study, 46 datasets were collected. Performance of these models was assessed through the R, RMSE and MAPE. As a result, these indices revealed that the prediction performance of the ANN model is higher than that of the non-linear and linear multiple regression models.

Alireaza Salimi; Mohammad Esmaeili

2013-01-01T23:59:59.000Z

136

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

SciTech Connect

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-Confdration Suisse, Ecole Polytechnique Fdrale 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

137

Theory of the lattice Boltzmann method: Three-dimensional model for linear viscoelastic fluids Pierre Lallemand,1,  

E-Print Network (OSTI)

Theory of the lattice Boltzmann method: Three-dimensional model for linear viscoelastic fluids-dimensional lattice Boltzmann model with thirty two discrete velocity distribution functions for viscoelastic fluid is presented in this work. The model is based upon the generalized lattice Boltzmann equation constructed

Luo, Li-Shi

138

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)

to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Chair of Committee, Paul K. Woods Co-Chair of Committee, Rodney Culver Hill Committee Members, .. Ifte.... iv ACKNOWLEDGEMENTS I would like to thank my co-chairs, Dr. Paul K. Woods and Dr. Rodney Culver Hill, and committee members, Dr. Ifte Choudhury and Dr. Mikyoung Jun for their guidance and support through the course of this research. I also...

Kim, Ji Myong

2013-07-31T23:59:59.000Z

139

Non-linear curvature perturbation in multi-field inflation models with non-minimal coupling  

SciTech Connect

Using the ?N formalism we consider the non-linear curvature perturbation in multi-field models of inflation with non-minimal coupling. In particular, we focus on the relation between the ?N formalism as applied in the conformally related Jordan and Einstein frames. Exploiting results already known in the Einstein frame, we give expressions for the power spectrum, spectral tilt and non-gaussianity associated with the Jordan frame curvature perturbation. In the case that an adiabatic limit has not been reached, we find that in general these quantities differ from those associated with the Einstein frame curvature perturbation, and also confirm their equivalence in the absence of isocurvature modes. We then proceed to consider two analytically soluble examples, the first involving a non-minimally coupled 'spectator' field and the second being a non-minimally coupled extension of the multi-brid inflation model. In the first model we find that predictions can easily be brought into agreement with the recent Planck results, as the tensor-to-scalar ratio is generally small, the spectral tilt tuneable and the non-gaussianity suppressed. In the second model we find that predictions for all three parameters can differ substantially from those predicted in the minimally coupled case, and that the recent Planck results for the spectral tilt can be used to constrain the non-minimal coupling parameters.

White, Jonathan; Minamitsuji, Masato; Sasaki, Misao, E-mail: jwhite@yukawa.kyoto-u.ac.jp, E-mail: masato.minamitsuji@ist.utl.pt, E-mail: misao@yukawa.kyoto-u.ac.jp [Yukawa Institute for Theoretical Physics, Kyoto University, Kyoto 606-8502 (Japan)

2013-09-01T23:59:59.000Z

140

Pure and entangled N=4 linear supermultiplets and their one-dimensional sigma-models  

SciTech Connect

'Pure' homogeneous linear supermultiplets (minimal and non-minimal) of the N=4-extended one-dimensional supersymmetry algebra are classified. 'Pure' means that they admit at least one graphical presentation (the corresponding graph/graphs are known as 'Adinkras'). We further prove the existence of 'entangled' linear supermultiplets which do not admit a graphical presentation, by constructing an explicit example of an entangled N=4 supermultiplet with field content (3, 8, 5). It interpolates between two inequivalent pure N=4 supermultiplets with the same field content. The one-dimensional N=4 sigma-model with a three-dimensional target based on the entangled supermultiplet is presented. The distinction between the notion of equivalence for pure supermultiplets and the notion of equivalence for their associated graphs (Adinkras) is discussed. Discrete properties such as 'chirality' and 'coloring' can discriminate different supermultiplets. The tools used in our classification include, among others, the notion of field content, connectivity symbol, commuting group, node choice group, and so on.

Gonzales, Marcelo; Iga, Kevin; Khodaee, Sadi; Toppan, Francesco [CBPF, Rua Dr. Xavier Sigaud 150, Urca, cep 22290-180, Rio de Janeiro (RJ) (Brazil) and Natural Science Division, Pepperdine University, Malibu, California 90263 (United States)

2012-10-15T23:59:59.000Z

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

Regional Frequency Analysis at Ungauged Sites with the Generalized Additive Model  

Science Journals Connector (OSTI)

The log-linear regression model is one of the most commonly used models to estimate flood quantiles at ungauged sites within the regional frequency analysis (RFA) framework. However, hydrological processes are naturally complex in several aspects ...

F. Chebana; C. Charron; T. B. M. J. Ouarda; B. Martel

2014-12-01T23:59:59.000Z

142

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

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

An integrated fuzzy regression algorithm for improved electricity consumption estimation  

Science Journals Connector (OSTI)

This study presents an integrated fuzzy regression and time-series technique to estimate and predict electricity demand. Furthermore, it is difficult to model uncertain behaviour of energy consumption with only conventional time-series and fuzzy regression, which could be an ideal substitute for such cases. After reviewing various fuzzy regression models and studying their advantages and shortcomings, the best model is selected. Also, the impact of data preprocessing and post-processing on the fuzzy regression performance is to study and to show that this method does not contribute to the efficiency of the model. In addition, another unique feature of this study is utilisation of autocorrelation function to define input variables versus trial and error method. At last, the comparison of actual data with fuzzy regression and ARIMA model, using Granger??Newbold test, is achieved. Monthly electricity consumption of Iran from 1995 to 2005 is considered as the case of this study.

Ali Azadeh; Morteza Saberi; Anahita Gitiforouz

2010-01-01T23:59:59.000Z

145

Bulk viscosity and the phase transition of the linear sigma model  

E-Print Network (OSTI)

In this work we deal with the critical behavior of the bulk viscosity in the linear sigma model (LSM) as an example of a system which can be treated by using different techniques. Starting from the Boltzmann-Uehling-Uhlenbeck equation we compute the bulk viscosity over entropy density of the LSM in the large-N limit. We search for a possible maximum of the bulk viscosity over entropy density at the critical temperature of the chiral phase transition. The information about this critical temperature, as well as the effective masses, is obtained from the effective potential. We find that the expected maximum (as a measure of the conformality loss) is absent in the large N in agreement with other models in the same limit. However, this maximum appears when, instead of the large-N limit, the Hartree approximation within the Cornwall-Jackiw-Tomboulis (CJT) formalism is used. Nevertheless, this last approach to the LSM does not give rise to the Goldstone theorem and also predicts a first order phase transition instead of the expected second order one. Therefore both, the large-N limit and the CJT-Hartree approximations, should be considered as complementary for the study of the critical behavior of the bulk viscosity in the LSM.

Antonio Dobado; Juan M. Torres-Rincon

2012-06-06T23:59:59.000Z

146

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

SciTech Connect

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

147

Limited Dependent Variable Correlated Random Coefficient Panel Data Models  

E-Print Network (OSTI)

for the average slopes of a linear CRC model with a general nonparametric correlation between regressors and random coefficients. I construct a sqrt(n) consistent estimator for the average slopes via varying coefficient regression. The identification of binary...

Liang, Zhongwen

2012-10-19T23:59:59.000Z

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

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

SciTech Connect

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

150

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.

151

Estimating of the Dry Unit Weight of Compacted Soils Using General Linear Model and Multi-layer Perceptron Neural Networks  

Science Journals Connector (OSTI)

Compaction of earth fill is a very important stage of construction projects. Degree of compaction is defined by relative compaction. The relative compaction of a compacted earth fill is calculated by dividing the dry unit weight obtained from in situ ... Keywords: Dry unit weight, Earth fill, General linear model, Multi-layer perceptron neural networks, Relative compaction, Standard Proctor test

Ersin Kolay, Tugce Baser

2014-05-01T23:59:59.000Z

152

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

153

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

154

A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory Network Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast  

Science Journals Connector (OSTI)

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

Mingzhou (Joe) Song; Z. Lewis Liu

2007-01-01T23:59:59.000Z

155

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

SciTech Connect

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

156

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.

157

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

E-Print Network (OSTI)

??Foi desenvolvido um modelo analtico de um sistema solar trmico de gerao de eletricidade, com concentradores parablicos de foco linear. O modelo permite simular, realizar (more)

Milton Matos Rolim

2007-01-01T23:59:59.000Z

158

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.

159

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

160

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

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

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

162

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

163

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

164

Effective charges and isoscalar shifts in the linearized Hartree-Fock model  

Science Journals Connector (OSTI)

A simple method based on a linearized Hartree-Fock technique is proposed to calculate effective charges and isoscalar nuclear shifts. As an application, the change in rms radii near closed shell nuclei is calculated using a Skyrme interaction.NUCLEAR STRUCTURE Hartree-Fock calculation of effective charge, isoscalar nuclear shift, Skyrme interaction.

B. Castel and K. Goeke

1977-11-01T23:59:59.000Z

165

Long-memory effects in linear-response models of Earth's temperature and implications for future global warming  

E-Print Network (OSTI)

A linearized energy-balance model for global temperature is formulated, featuring a scale-free long-range memory (LRM) response and stochastic forcing representing the influence on the ocean heat reservoir from atmospheric weather systems. The model is parametrized by an effective response strength, the stochastic forcing strength, and the memory exponent. The instrumental global surface temperature record and the deterministic component of the forcing are used to estimate these parameters by means of the maximum-likelihood method. The residual obtained by subtracting the deterministic solution from the observed record is analyzed as a noise process and shown to be consistent with a long-memory time-series model and inconsistent with a short-memory model. By decomposing the forcing record in contributions from solar, volcanic, and anthropogenic activity one can estimate the contribution of each to 20'th century global warming. The LRM model is applied with a reconstruction of the forcing for the last millenni...

Rypdal, Martin

2013-01-01T23:59:59.000Z

166

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

SciTech Connect

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

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

168

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

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

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

Triple Higgs boson production at the high-energy Photon Linear Collider in the Higgs triplet model  

Science Journals Connector (OSTI)

Besides the SM-like Higgs boson h, the Higgs triplet model (HTM) predicts the existence of charged and doubly charged Higgs bosons ( and ). In this letter, we focus on the study of the triple Higgs production in ?? collisions at the high-energy linear collider: and . We present the production cross-sections and the distributions of the various observables, i.e., the distributions of the energy and the transverse momenta of the SM-like Higgs boson and charged Higgs bosons. Our numerical results show that, with reasonable parameter values, the values of the cross-sections for two processes can reach the level of several tens of fb and hundreds of fb, respectively. Due to the small SM background, the possible signals of and might be detected via these processes in the future high-energy linear-collider experiments.

Jie-Fen Shen; Yan-Ping Bi

2014-01-01T23:59:59.000Z

171

An efficient speech recognition system in adverse conditions using the nonparametric regression  

Science Journals Connector (OSTI)

General Regression Neural Networks (GRNN) have been applied to phoneme identification and isolated word recognition in clean speech. In this paper, the authors extended this approach to Arabic spoken word recognition in adverse conditions. In fact, noise ... Keywords: Arabic digits, General Regression Neural Network, Hidden Markov Model, Noisy environment, Nonparametric regression, Speech recognition

Abderrahmane Amrouche; Mohamed Debyeche; Abdelmalik Taleb-Ahmed; Jean Michel Rouvaen; Mustapha C. E. Yagoub

2010-02-01T23:59:59.000Z

172

Assessing the human cardiovascular response to moderate exercise: feature extraction by support vector regression  

Science Journals Connector (OSTI)

This study aims to quantitatively describe the steady-state relationships among percentage changes in key central cardiovascular variables (i.e. stroke volume, heart rate (HR), total peripheral resistance and cardiac output), measured using non-invasive means, in response to moderate exercise, and the oxygen uptake rate, using a new nonlinear regression approachsupport vector regression. Ten untrained normal males exercised in an upright position on an electronically braked cycle ergometer with constant workloads ranging from 25 W to 125 W. Throughout the experiment, was determined breath by breath and the HR was monitored beat by beat. During the last minute of each exercise session, the cardiac output was measured beat by beat using a novel non-invasive ultrasound-based device and blood pressure was measured using a tonometric measurement device. Based on the analysis of experimental data, nonlinear steady-state relationships between key central cardiovascular variables and were qualitatively observed except for the HR which increased linearly as a function of increasing . Quantitative descriptions of these complex nonlinear behaviour were provided by nonparametric models which were obtained by using support vector regression.

Lu Wang; Steven W Su; Branko G Celler; Gregory S H Chan; Teddy M Cheng; Andrey V Savkin

2009-01-01T23:59:59.000Z

173

Bifurcations of an epidemic model with non-linear incidence and infection-dependent removal rate  

Science Journals Connector (OSTI)

......result in epidemic outbreaks. However, most classical models of epi- demics...are not able to predict such dynamics...disease transmission model with nonlinear...evolution of the flu. Trends Ecol...2000) A simple model for complex dynamical...1995) Recurrent outbreaks of childhood diseases......

Seyed M. Moghadas; Murray E. Alexander

2006-09-01T23:59:59.000Z

174

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

175

Linear Lower Bounds for $?_c(p)$ for a Class of 2D Self-Destructive Percolation Models  

E-Print Network (OSTI)

The self-destructive percolation model is defined as follows: Consider percolation with parameter $p > p_c$. Remove the infinite occupied cluster. Finally, give each vertex (or, for bond percolation, each edge) that at this stage is vacant, an extra chance $\\delta$ to become occupied. Let $\\delta_c(p)$ be the minimal value of $\\delta$, needed to obtain an infinite occupied cluster in the final configuration. This model was introduced some years ago by van den Berg and Brouwer. They showed that, for the site model on the square lattice (and a few other 2D lattices satisfying a special technical condition) that $\\delta_c(p)\\geq\\frac{(p-p_c)}{p}$. In particular, $\\delta_c(p)$ is at least linear in $p-p_c$. Although the arguments used by van den Berg and Brouwer look quite rigid, we show that they can be suitably modified to obtain similar linear lower bounds for $\\delta_c(p)$ (with $p$ near $p_c$) for a much larger class of 2D lattices, including bond percolation on the square and triangular lattices, and site percolation on the star lattice (or matching lattice) of the square lattice.

J. van den Berg; B. N. B. de Lima

2007-11-22T23:59:59.000Z

176

Chiral phase transition in relativistic heavy-ion collisions with weak magnetic fields: Ring diagrams in the linear sigma model  

Science Journals Connector (OSTI)

Working in the linear sigma model with quarks, we compute the finite-temperature effective potential in the presence of a weak magnetic field, including the contribution of the pion ring diagrams and considering the sigma as a classical field. In the approximation where the pion self-energy is computed perturbatively, we show that there is a region of the parameter space where the effect of the ring diagrams is to preclude the phase transition from happening. Inclusion of the magnetic field has small effects that however become more important as the system evolves to the lowest temperatures allowed in the analysis.

Alejandro Ayala; Adnan Bashir; Alfredo Raya; Angel Snchez

2009-08-10T23:59:59.000Z

177

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

178

A method for quantitative fault diagnosability analysis of stochastic linear descriptor models  

Science Journals Connector (OSTI)

Analyzing fault diagnosability performance for a given model, before developing a diagnosis algorithm, can be used to answer questions like ''How difficult is it to detect a fault f"i?'' or ''How difficult is it to isolate a fault f"i from a fault f"j?''. ... Keywords: Fault detection and isolation, Fault diagnosability analysis, Model-based diagnosis

Daniel Eriksson; Erik Frisk; Mattias Krysander

2013-06-01T23:59:59.000Z

179

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

180

Biomass combustion for electric power: Allocation and plant siting using non-linear modeling and mixed integer optimization  

Science Journals Connector (OSTI)

Electricity generation from the combustion of biomass feedstocks provides low-carbon energy that is not as geographically constricted as other renewable technologies. This study uses non-linear programming to provide policymakers with scenarios of possible sources of biomass for power generation as well as locations and types of electricity generation facilities utilizing biomass. The scenarios are obtained by combining the output from existing agricultural optimization models with a non-linear mathematical program that calculates the least-cost ways of meeting an assumed biomass electricity standard. The non-linear program considers region-specific cultivation and transportation costs of biomass fuels as well as the costs of building and operating both coal plants capable of co-firing biomass and new dedicated biomass combustion power plants. The results of the model provide geographically detailed power plant allocation patterns that minimize the total cost of meeting the generation requirements which are varying proportions of total U.S. electric power generation under the assumptions made. The amount of each cost component comprising the objective functions of the various requirements are discussed and the results show that approximately two-thirds of the total cost of meeting a biomass electricity standard occurs on the farms and forests that produce the biomass. Plant capital costs and biomass transportation costs comprise the largest share of the remaining costs. The most important policy conclusion is that biomass use in power plants will require significant subsidies perhaps as much as half of their cost if they are to achieve significant penetrations in U.S. electricity markets.

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.


181

A Mathematical Study to Select Fractionation Regimen Based on Physical Dose Distribution and the Linear-Quadratic Model  

SciTech Connect

Purpose: Hypofractionated irradiation is often used in precise radiotherapy instead of conventional multifractionated irradiation. We propose a novel mathematical method for selecting a hypofractionated or multifractionated irradiation regimen based on physical dose distribution adding to biologic consideration. Methods and Materials: The linear-quadratic model was used for the radiation effects on tumor and normal tissues, especially organs at risk (OARs). On the basis of the assumption that the OAR receives a fraction of the dose intended for the tumor, the minimization problem for the damage effect on the OAR was treated under the constraint that the radiation effect on the tumor is fixed. Results: For an N-time fractionated irradiation regimen, the constraint of tumor lethality was described by an N-dimensional hypersphere. The total dose of the fractionated irradiations was considered for minimizing the damage effect on the OAR under the hypersphere condition. It was found that the advantage of hypofractionated or multifractionated irradiation therapies depends on the magnitude of the ratio of {alpha}/{beta} parameters for the OAR and tumor in the linear-quadratic model and the ratio of the dose for the OAR and tumor. Conclusions: Our mathematical method shows that multifractionated irradiation with a constant dose is better if the ratio of {alpha}/{beta} for the OAR and tumor is less than the ratio of the dose for the OAR and tumor, whereas hypofractionated irradiation is better otherwise.

Mizuta, Masahiro [Laboratory of Advanced Data Science, Information Initiative Center, Hokkaido University, Sapporo (Japan)] [Laboratory of Advanced Data Science, Information Initiative Center, Hokkaido University, Sapporo (Japan); Takao, Seishin [Faculty of Engineering, Hokkaido University, Sapporo (Japan)] [Faculty of Engineering, Hokkaido University, Sapporo (Japan); Date, Hiroyuki, E-mail: date@hs.hokudai.ac.jp [Faculty of Health Sciences, Hokkaido University, Sapporo (Japan)] [Faculty of Health Sciences, Hokkaido University, Sapporo (Japan); Kishimoto, Naoki [Graduate School of Information Science and Technology, Hokkaido University, Sapporo (Japan)] [Graduate School of Information Science and Technology, Hokkaido University, Sapporo (Japan); Sutherland, Kenneth L.; Onimaru, Rikiya; Shirato, Hiroki [Graduate School of Medicine, Hokkaido University, Sapporo (Japan)] [Graduate School of Medicine, Hokkaido University, Sapporo (Japan)

2012-11-01T23:59:59.000Z

182

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

SciTech Connect

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

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

2011-08-15T23:59:59.000Z

183

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

184

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

E-Print Network (OSTI)

Ensemble weather forecast systems are used to account for the uncertainty in the initial conditions of the atmosphere and the chaotic dynamics of the models. It has been previously found that forecast performance of an ensemble forecast system...

Nelson, Ethan

2011-04-21T23:59:59.000Z

185

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

186

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

E-Print Network (OSTI)

significantly expressed genes in response to bioethanol conversion inhibitor 5-hydroxymethylfurfural model, esti- mated from time course gene expression measurements during the earlier exposure to 5-hydroxymethylfurfural, reveals known transcriptional reg- ulations as well as potential significant genes involved

Song, Joe

187

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

188

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

189

Thermodynamics and higher order moments in SU(3) linear $\\sigma$-model with gluonic quasi-particles  

E-Print Network (OSTI)

In framework of linear $\\sigma$-model (LSM) with three quark flavors, the chiral phase-diagram at finite temperature and density is investigated. At temperatures higher than the critical temperature ($ T_c $), we added to LSM the gluonic sector from the quasi-particle model (QPM), which assumes that the interacting gluons in the strongly interacting matter, the quark-gluon plasma (QGP), are phenomenologically the same as non-interacting massive quasi-particles. The dependence of the chiral condensates of strange and non-strange quarks on temperature and chemical potential is analysed. Then, we have calculated the thermodynamics in the new approach (combination of LSM and QPM). Confronting the results with recent lattice QCD simulations shows an excellent agreement in almost all thermodynamic quantities. The first and second order moments of particle multiplicity are studied in dependence on the chemical potential but at fixed temperature and on the chemical potential but at fixed temperature. These are implem...

Tawfik, Abdel Nasser

2014-01-01T23:59:59.000Z

190

Introduction to Linear Bialgebra  

E-Print Network (OSTI)

The algebraic structure, linear algebra happens to be one of the subjects which yields itself to applications to several fields like coding or communication theory, Markov chains, representation of groups and graphs, Leontief economic models and so on. This book has for the first time, introduced a new algebraic structure called linear bialgebra, which is also a very powerful algebraic tool that can yield itself to applications. With the recent introduction of bimatrices (2005)we have ventured in this book to introduce new concepts like linear bialgebra and Smarandache neutrosophic linear bialgebra and also give the applications of these algebraic structures. It is important to mention here it is a matter of simple exercise to extend these to linear n-algebra for any n greater than 2; for n = 2 we get the linear bialgebra. This book has five chapters. In the first chapter we just introduce some basic notions of linear algebra and Slinear algebra and their applications. Chapter two introduces some new algebraic bistructures. In chapter three we introduce the notion of linear bialgebra and discuss several interesting properties about them. Also, application of linear bialgebra to bicodes is given. A remarkable part of our research in this book is the introduction of the notion of birepresentation of bigroups. The fourth chapter introduces several neutrosophic algebraic structures since they help in defining the new concept of neutrosophic linear bialgebra, neutrosophic bivector spaces, Smarandache neutrosophic linear bialgebra and Smarandache neutrosophic bivector spaces. Theirprobable applications to real-world models are discussed.

W. B. Vasantha Kandasamy; Florentin Smarandache; K. Ilanthenral

2005-08-15T23:59:59.000Z

191

Regression analysis with missing data  

E-Print Network (OSTI)

. . . 17 3. 1 Eumerical ZxamPle of Rocking and Smith Parameter Estimates. 17 3. 2 Comparisons of Regression Estimation Teohniques. 3. 3 Other Monte Carlo Results. . . 29 Chapter VT Conclusions. 30 d. l Review of Results. 30 4. 2 Possible.... 0409 4. 9183 6. 0949 3. 7522 3. 5057 3. 1420 8. 0696 6. 9420 4. 9000 2. 3000 4. 6000 3. 6000 3. 0125 6. 4000 Data Grou e 1 snd 2 Estimated Estimate Variance N. V. B. 7. 0132 2. 5695 2. 4500 1. 9650 1. 1785 1. 1500 6. 0342 2. 9019 . 6972...

Michelli, Frank Anthony

1968-01-01T23:59:59.000Z

192

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

SciTech Connect

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

193

Hybrid data mining-regression for infrastructure risk assessment based on zero-inflated data  

Science Journals Connector (OSTI)

Infrastructure disaster risk assessment seeks to estimate the probability of a given customer or area losing service during a disaster, sometimes in conjunction with estimating the duration of each outage. This is often done on the basis of past data about the effects of similar events impacting the same or similar systems. In many situations this past performance data from infrastructure systems is zero-inflated; it has more zeros than can be appropriately modeled with standard probability distributions. The data are also often non-linear and exhibit threshold effects due to the complexities of infrastructure system performance. Standard zero-inflated statistical models such as zero-inflated Poisson and zero-inflated negative binomial regression models do not adequately capture these complexities. In this paper we develop a novel method that is a hybrid classification tree/regression method for complex, zero-inflated data sets. We investigate its predictive accuracy based on a large number of simulated data sets and then demonstrate its practical usefulness with an application to hurricane power outage risk assessment for a large utility based on actual data from the utility. While formulated for infrastructure disaster risk assessment, this method is promising for data-driven analysis for other situations with zero-inflated, complex data exhibiting response thresholds.

S.D. Guikema; S.M. Quiring

2012-01-01T23:59:59.000Z

194

Linear Accelerator  

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

Linear Accelerator (LINAC) The core of the LANSCE facility is one of the nation's most powerful proton linear accelerators or LINAC. The LINAC at LANSCE has served the nation since...

195

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

196

Quantification and characterization of regional seismic signals from cast blasting in mines: a linear elastic model  

Science Journals Connector (OSTI)

......detonalions that sometimes accompany standard blasting operations. The models...past signal character. We also plan to study the effects of imperfect...pulse with, xf.A thorough review by Michael Hedlin is also appreciated...explosions from simultaneous mining blasts, Bull. seism. Soc......

Sridhar Anandakrishnan; Steven R. Taylor; Brian W. Stump

1997-10-01T23:59:59.000Z

197

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

198

New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups  

E-Print Network (OSTI)

New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups Minjung, and then we use the model to analyze terrorism data. We see that the richer Dirichlet process random effects, empirical studies of terrorism, logistic regression, gen- eralized linear mixed models, hierarchical models

Gill, Jeff

199

On a non-linear sigma model of knotted relaxed states far from thermodynamic equilibrium in plasma physics and beyond  

E-Print Network (OSTI)

We show that a Faddeev-Niemi non-linear sigma model describes in the long wavelength limit a wide class of steady-state, knotted physical systems far from thermodynamic equilibrium which are stable against perturbations of temperature and interact weakly with the external world. In these systems temperature gradients are negligible, inertial effects are negligible in comparison with diffusion effects, entropy is mainly produced through Joule and-or viscous heating, the macroscopic state is described by specifying a unit vector at each point, and the Gauss linking number of this unit vector is lower than a threshold. In fluids and plasmas, the model describes filamentary structures which adjust themselves in order to offer minimum resistance to the medium embedding them and to the electric currents (if any) flowing across them; in the latter case, Gauss linking number is related to magnetic helicity. Both n and the relative velocity of the filament with respect to the medium are approximately Double Beltrami v...

Di Vita, Andrea

2014-01-01T23:59:59.000Z

200

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

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

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

SciTech Connect

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

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

Efficient numerical surface wave propagation through the optimization of discrete crustal modelsa technique based on non-linear dispersion curve matching (DCM)  

Science Journals Connector (OSTI)

......and 8) are the least constrained. 4 Methodology The modification of discrete earth models...and (13), with their respective subsidiary conditions, exist. 4.2 Non-Linear...Schoenberg M. , Muir F., 1989. A calculus for finely layered anisotropic media......

Andreas Fichtner; Heiner Igel

2008-05-01T23:59:59.000Z

205

A GIS-LIKE TRAINING ALGORITHM FOR LOG-LINEAR MODELS WITH HIDDEN Georg Heigold, Thomas Deselaers, Ralf Schluter, and Hermann Ney  

E-Print Network (OSTI)

A GIS-LIKE TRAINING ALGORITHM FOR LOG-LINEAR MODELS WITH HIDDEN VARIABLES Georg Heigold, Thomas with Generalized Iterative Scal- ing (GIS). GIS offers, upon others, the immediate advantages that it is locally convergent, completely parameter free, and guarantees an improvement of the criterion in each step. GIS

Deselaers, Thomas

206

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

SciTech Connect

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

Fike, Jeffrey A.

2013-08-01T23:59:59.000Z

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

Assessment of Low Linear Energy Transfer RadiationInduced Bystander Mutagenesis in a Three-Dimensional Culture Model  

Science Journals Connector (OSTI)

...Department of Energy cleanup operations...mutation was a measurement of changes...with low-energy protons (28...Puck TT. Measurement of mutagenesis...on Radiation Units and Measurements; 1984. 23...low linear energy transfer radiation-induced...

Rudranath Persaud; Hongning Zhou; Sarah E. Baker; Tom K. Hei; and Eric J. Hall

2005-11-01T23:59:59.000Z

209

APPENDIX: BAYESIAN REGRESSION METHODS Introduction  

E-Print Network (OSTI)

statistics begins with a model for the joint probability distribution of and y, p(,y). may be a single to VI derive from Bayesian statistics. Bayesian methods are less familiar than some other statistical variables (Gelman et al. 1995). Bayesian methods can be used for any probability distribution. The methods

210

A Modeling and Exploration Framework for Mapping of Linear ArrayA Modeling and Exploration Framework for Mapping of Linear Array of Tasks onto Adaptive Computing Systemsof Tasks onto Adaptive Computing Systems Egor Andreev, Sumit Mohanty, Viktor K. Prasan  

E-Print Network (OSTI)

) · Supports applications modeled as data flow graphs · Interpretive simulation allows rapid hardware ModelingModeling Constraint Satisfaction using DESERTConstraint Satisfaction using DESERT Rapid EstimationIdentifying Final Design MILAN FrameworkMILAN Framework MILAN is a model-based, extensible simulation framework

Prasanna, Viktor K.

211

A consistent framework for Horton regression statistics that leads to a modified Hack's law  

Science Journals Connector (OSTI)

A statistical framework is introduced that resolves important problems with the interpretation and use of traditional Horton regression statistics. The framework is based on a univariate regression model that leads to an alternative expression for Horton ratio, connects Horton regression statistics to distributional simple scaling, and improves the accuracy in estimating Horton plot parameters. The model is used to examine data for drainage area A and mainstream length L from two groups of basins located in different physiographic settings. Results show that confidence intervals for the Horton plot regression statistics are quite wide. Nonetheless, an analysis of covariance shows that regression intercepts, but not regression slopes, can be used to distinguish between basin groups. The univariate model is generalized to include n>1 dependent variables. For the case where the dependent variables represent ln A and ln L, the generalized model performs somewhat better at distinguishing between basin groups than two separate univariate models. The generalized model leads to a modification of Hack's law where L depends on both A and Strahler order ?. Data show that ? plays a statistically significant role in the modified Hack's law expression.

Peter R. Furey; Brent M. Troutman

2008-01-01T23:59:59.000Z

212

ARM - Evaluation Product - SASHE Langley Regressions  

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

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

213

Rotation-based model trees for classification  

Science Journals Connector (OSTI)

Structurally, a model tree is a regression method that takes the form of a decision tree with linear regression functions instead of terminal class values at its leaves. In this study, model trees were coupled with a rotation-based ensemble for solving classification problems. In order to apply this regression technique to classification problems, we considered the conditional class probability function and sought a model-tree approximation to it. During classification, the class whose model tree generated the greatest approximated probability value was chosen as the predicted class. We performed a comparison with other well-known ensembles of decision trees on standard benchmark data sets, and the performance of the proposed technique was greater in most cases.

S.B. Kotsiantis

2010-01-01T23:59:59.000Z

214

Back from ICST 2011 Workshops (Regression 2011)  

E-Print Network (OSTI)

Testing Techniques: Challenges, Solutions and a Potential Way Forward (position paper) · Gregory: Multi Objective Regression Test Optimization (position paper) · Mark Harman, University College London · Designing for failure: Challenges for developing and testing complex systems of systems #12;Panel: Software

Yehudai, Amiram

215

Regression Kinetics of Mouse Skin Papillomas  

Science Journals Connector (OSTI)

...stronger tendency to regress. Roe et al. (8) have published...Skocik. APRIL 1976 1425 F. J. Burns et a!. REFERENCES 1. Berenblum...40: 823-846, 1968. 8. Roe, F. J. C., Carter, R...9. Salaman, M. H., and Roe, R. J. C. Carcinogenesis...

Fredric J. Burns; Martin Vanderlaan; Andrew Sivak; and Roy E. Albert

1976-04-01T23:59:59.000Z

216

Multiple regression analysis for the estimation of energy content of municipal solid waste  

Science Journals Connector (OSTI)

A regression equation is proposed to predict the Higher Heating Value (HHV) of Municipal Solid Waste (MSW) from the waste data of 86 cities of 35 countries. A mathematical model is developed, by using Statistical Package for Social Sciences (SPSS-10.0), to correlate the energy content of waste with the variables derived from its physical composition. Performance of the proposed multiple regression model is superior to available models. For validation, the proposed model is applied to the waste data of Jaipur City (India), nine cities of EEC countries and also to the MSW of USA. Energy content values obtained by proposed regression model and Modified Dulong's Equation (MDE) are closer to the measured mean energy content values for EEC countries compared to the values obtained by Khan's method. Objective of the paper is to propose a simple model, which can replace the lengthy MDE and which has universal applicability for the predication of HHVs.

G.D. Agrawal; A.P.S. Rathore; A.B. Gupta

2007-01-01T23:59:59.000Z

217

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

218

Air Leakage of US Homes: Regression  

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

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

219

Transmission Line Structure Spotting and Optimization within a Defined Transmission Line Routing Centerline Using Non-Linear Programming Models  

E-Print Network (OSTI)

and optimize structure heights for overhead transmission lines. The modeling tool will address common problems in determining overhead transmission line structure heights and locations. Some of the common problems consist of structure locations often having...

Cockrum, Joshua W.

2010-05-14T23:59:59.000Z

220

Generative Modeling for Continuous Non-Linearly Embedded Visual Inference Cristian Sminchisescu CRISMIN@CS.TORONTO.EDU  

E-Print Network (OSTI)

problems, like 3D human motion estimation, can be formu- lated in terms of inference using complex gen that are useful for tracking and for the reconstruction of 3D human motion in monocular video. 1. Introduction of representational power that restricts model usage to oversimplified scenarios. The use of priors in the original

Jepson, Allan D.

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they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


221

Texture Prediction in Intact Green Asparagus by Near Infrared (NIR) Spectroscopy, Assaying Linear and Non-linear Regression Strategies  

Science Journals Connector (OSTI)

Texture-related parameters were assessed in intact green asparagus at harvest and during postharvest storage ... 1,6002,400nm). Three hundred green asparagus spears (cv. Grande) were...r 2...b...

Mara-Jos De la Haba; Dolores Prez-Marn; Diego Rial-Huerta

2014-03-01T23:59:59.000Z

222

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

223

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

224

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

SciTech Connect

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

225

A fast randomized algorithm for overdetermined linear least-squares regression  

Science Journals Connector (OSTI)

...SIAM J Comput , in press . 7 Liberty E Woolfe F Martinsson P-G...20167 20172 . 8 Woolfe F Liberty E Rokhlin V Tygert M ( 2007...Anal , in press . 9 Ailon N Liberty E ( 2007 ) Fast dimension...Defense Advanced Research Projects Agency Grant FA9550-07-1-0541...

Vladimir Rokhlin; Mark Tygert

2008-01-01T23:59:59.000Z

226

IE 361 Module 7 Calibration Studies and Inference Based on Simple Linear Regression  

E-Print Network (OSTI)

is ^y = b0 + b1x and sLF is an estimate of derived from the ...t of the line to the data. Any good, sLF = p MSE = "root mean square error" is a kind of estimated repeatability standard deviation. One 2 degrees of freedom and limits sLF s n 2 2 upper and sLF s n 2 2 lower The least squares equation

Vardeman, Stephen B.

227

lgebra Linear Mauro Rincon  

E-Print Network (OSTI)

8.1 Álgebra Linear Mauro Rincon Márcia Fampa Aula 8: Soluções de Sistemas de Equações Lineares #12

Cabral, Marco

228

Potential of support vector regression for optimization of lens system  

Science Journals Connector (OSTI)

Abstract Lens system design is an important factor in image quality. The main aspect of the lens system design methodology is the optimization procedure. Since optimization is a complex, non-linear task, soft computing optimization algorithms can be used. There are many tools that can be employed to measure optical performance, but the spot diagram is the most useful. The spot diagram gives an indication of the image of a point object. In this paper, the spot size radius is considered an optimization criterion. Intelligent soft computing scheme Support Vector Regression (SVR) is implemented. In this study, the polynomial and radial basis functions (RBF) are applied as the SVR kernel function to estimate the optimal lens system parameters. The performance of the proposed estimators is confirmed with the simulation results. The SVR results are then compared with other soft computing techniques. According to the results, a greater improvement in estimation accuracy can be achieved through the SVR with polynomial basis function compared to other soft computing methodologies. The SVR coefficient of determination R 2 with the polynomial function was 0.9975 and with the radial basis function the R 2 was 0.964. The new optimization methods benefit from the soft computing capabilities of global optimization and multi-objective optimization rather than choosing a starting point by trial and error and combining multiple criteria into a single criterion in conventional lens design techniques.

Torki A. Altameem; Vlastimir Nikoli?; Shahaboddin Shamshirband; Dalibor Petkovi?; Hossein Javidnia; Miss Laiha Mat Kiah; Abdullah Gani

2015-01-01T23:59:59.000Z

229

Fit Index Sensitivity in Multilevel Structural Equation Modeling  

E-Print Network (OSTI)

, 1998). Multilevel modeling (MLM) is an extension of multiple regression analysis that provides a framework for such questions to be addressed (Raudenbush & Bryk, 2002; Snijders & Bosker, 10 1999). MLM, also known as hierarchical linear modeling... these parameters to vary across groups addresses several of the aforementioned problems while providing new analytic insights. For example, MLM permits investigators to analyze cross-level interactions in order to determine whether within-group effects...

Boulton, Aaron Jacob

2011-07-29T23:59:59.000Z

230

Linear chain magnetism  

Science Journals Connector (OSTI)

Linear chain magnetism ... A brief introduction to this concept, which is also called lower dimensional magnetism. ...

Richard L. Carlin

1991-01-01T23:59:59.000Z

231

A simple approach to lifetime learning in genetic programming-based symbolic regression  

Science Journals Connector (OSTI)

Genetic programming GP coarsely models natural evolution to evolve computer programs. Unlike in nature, where individuals can often improve their fitness through lifetime experience, the fitness of GP individuals generally does not change during their ... Keywords: Genetic programming, hybrid genetic algorithms, lifetime learning, local search, memetic algorithms, symbolic regression

Raja Muhammad Atif Azad; Conor Ryan

2014-06-01T23:59:59.000Z

232

Regression-based quantitative trait loci mapping: robust, efficient and effective  

Science Journals Connector (OSTI)

...model (section-union test)? Both Jansen (1993) and Zeng (1993) highlighted...regression. Genetics. 151, 885-894. Jansen, R.C 1993Interval mapping of multiple...140, 1111-1127. Johnson, D.L , Jansen, R.C, van Arendonk, J.A.M1999Mapping...

2005-01-01T23:59:59.000Z

233

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.

234

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

235

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

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

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

236

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network (OSTI)

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 waterFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil

Keller, Arturo A.

237

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

238

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

239

Piecewise Linear Phase Transitions  

E-Print Network (OSTI)

It is shown how simple assumptions lead to piecewise linear behavior, which is observed in certain phase transitions.

Joseph B. Keller

2007-11-26T23:59:59.000Z

240

Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models  

E-Print Network (OSTI)

described as a set of moving objects that follow various tracks and have differing individual life- cycle (ETCs) are responsible for severe-weather events with high winds and/or flooding over North America data analysis in the atmospheric sciences has been based on calculating Eulerian statistics

Smyth, Padhraic

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

Air Pollution Mapping Using Nonlinear Land Use Regression Models  

Science Journals Connector (OSTI)

Air pollution in cities is an important problem influencing ... due to a very complex distribution of the pollution sources, the morphology of cities and the ... processes leading to a multivariate nature of the

Alexandre Champendal; Mikhail Kanevski

2014-01-01T23:59:59.000Z

242

Efficient Bayesian inference for Gaussian copula regression models  

Science Journals Connector (OSTI)

......545 (0 792) 4 876 (0 784) Capital goods 1 073 (0 011) 5 449...1987 U.S. National Medical Expenditure Survey (Deb & Trivedi, 1997...investments in stock portfolios and capital budgets. Rev. Econ. Statist...67790. SHARPE, W. (1964). Capital asset prices: A theory of......

Michael Pitt; David Chan; Robert Kohn

2006-09-01T23:59:59.000Z

243

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

244

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

245

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

246

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

247

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

248

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

249

Regressing Gas/Particle Partitioning Data for Polycyclic Aromatic Hydrocarbons  

Science Journals Connector (OSTI)

Regressing Gas/Particle Partitioning Data for Polycyclic Aromatic Hydrocarbons ... Although PAHs can be emitted to the environment as a result of natural combustion processes (e.g., forest fires and volcanoes), human activities are believed to dominate global PAH emissions, because high atmospheric concentrations of PAHs are usually observed in urban and industrial areas where vehicle traffic, aluminum smelting, residential heating, and other activities emit PAHs into the atmosphere (4, 5). ... One of the earliest approaches to describing the G/P partitioning equilibrium of PAHs, known as the Junge?Pankow model, relates ? to PL using the following: The parameter A in this equation is sometimes interpreted as the product of two terms c and ?. ? is the surface area of particles in a unit volume of air (cm2cm-3) and c (Pacm) is a substance-specific factor depending on ambient temper ature, compound, sorption sites, and the heats of desorption from surface and vaporization from the liquid compound (7, 10, 14). ...

Yushan Su; Ying Duan Lei; Frank Wania; Mahiba Shoeib; Tom Harner

2006-04-22T23:59:59.000Z

250

Gaussian process modeling for measurement and verification of building energy savings  

Science Journals Connector (OSTI)

We present a Gaussian process (GP) modeling framework to determine energy savings and uncertainty levels in measurement and verification (M&V) practices. Existing M&V guidelines provide savings calculation procedures based on linear regression techniques that are limited in their predictive and uncertainty estimation capabilities. We demonstrate that, unlike linear regression, GP models can capture complex nonlinear and multivariable interactions as well as multiresolution trends of energy behavior. In addition, because GP models are developed under a Bayesian setting, they can capture different sources of uncertainty in a more systematic way. We demonstrate that these capabilities can ultimately lead to significantly less expensive M&V practices. We illustrate the developments using simulated and real data settings.

Yeonsook Heo; Victor M. Zavala

2012-01-01T23:59:59.000Z

251

Polynomial regression with derivative information in nuclear reactor uncertainty quantification*  

E-Print Network (OSTI)

, Argonne National Laboratory, Argonne, IL, USA b Nuclear Engineering Division, Argonne National Laboratory1 Polynomial regression with derivative information in nuclear reactor uncertainty quantification, Argonne, IL, USA Abstract. We introduce a novel technique of uncertainty quantification using polynomial

Anitescu, Mihai

252

Reduced rank regression via adaptive nuclear norm penalization  

Science Journals Connector (OSTI)

......of the 500 simulated datasets: 100 Pred( ^ CH...method often outperforms nuclear norm penalized regression...other methods. The nuclear norm penalized estimator...intensive for large datasets, while other methods...DISCUSSION Adaptive nuclear norm penalization can......

Kun Chen; Hongbo Dong; Kung-Sik Chan

2013-12-01T23:59:59.000Z

253

Use of structure coefficients in published reports of regression analysis  

E-Print Network (OSTI)

When considering the effect of an independent variable in a statistical analysis, one logical set of statistics to consult would be the regression weights. However, if the independent/predictor variables are correlated, the estimates...

Courville, Troy Gerard

1999-01-01T23:59:59.000Z

254

Extrapolation and bandwidth choice in the regression discontinuity design  

E-Print Network (OSTI)

This thesis consists of three methodological contributions to the literature on the regression discontinuity (RD) design. The first two chapters develop approaches to the extrapolation of treatment effects away from the ...

Rokkanen, Miikka

2014-01-01T23:59:59.000Z

255

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

256

lgebra Linear Mauro Rincon  

E-Print Network (OSTI)

10.1 Álgebra Linear Mauro Rincon Márcia Fampa Aula 10: Determinantes #12;10.2 8.1 - Definições #12

Cabral, Marco

257

Linear Graphene Plasmons  

Science Journals Connector (OSTI)

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

N. J.M. Horing

2010-11-01T23:59:59.000Z

258

Focusing in Linear Accelerators  

DOE R&D Accomplishments (OSTI)

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

McMillan, E. M.

1950-08-24T23:59:59.000Z

259

Linear phase compressive filter  

DOE Patents (OSTI)

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

McEwan, Thomas E. (Livermore, CA)

1995-01-01T23:59:59.000Z

260

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

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

Using Linearity Web Copyright 2007  

E-Print Network (OSTI)

Using Linearity Web Rev. 2.0 May 2007 Copyright © 2007 #12;Using Linearity Web i Contents Introduction to Linearity Web.............................................................................1 Features, Benefits, and Value of Linearity Web..............................................1 Before You

Rodriguez, Carlos

262

SLAC linear collider  

SciTech Connect

A brief description of the proposed SLAC Linear Collider is given. This machine would investigate the possibilities and limitations of Linear Colliders while at the same time producing thousands of Z/sup 0/ particles per day for the study of the weak interactions.

Hollebeek, R.

1980-06-01T23:59:59.000Z

263

Pharmacokinetic calculator program for generation of initial parameter estimates from a three-compartment infusion model  

Science Journals Connector (OSTI)

A polyexponential curve-stripping program, kin, is described for use on the HP-41CV programmable calculator. The program may be used in the analysis of plasma-concentration-time curves for a three-compartment intravenous bolus or infusion model with linear elimination processes. The coefficients and hybrid rate constants of the exponential function are then used to compute pharmacokinetic parameters (volume of the central compartment, intercompartmental rate transfer constants), which may be used as initial estimates of model parameters in non-linear regression curve-fitting procedures.

James D. Henderson; Richard D. Olson; William R. Ravis

1985-01-01T23:59:59.000Z

264

Dereverberation by linear systems techniques  

E-Print Network (OSTI)

- sentation by a finite number of thin layers and wave propagation normal to these layers. A linear, recursive mathematical model is developed and a method for the identification of parameters in the absence of noise i. , discussed. Appli ations are made...--Final System Configuration 29 16. Water Model--System Flow Diagram 17. The A Matrix 18. The B, C, and D Matrices 31 32 33 I. INTROD&JCTIO22 The removal of deleterious effects which arise in the transmission of waves through layered media is a problem...

Schell, John August

1970-01-01T23:59:59.000Z

265

## 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

266

North Linear Accelerator  

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

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

267

Syntactic edges and linearization  

E-Print Network (OSTI)

In this thesis, I investigate the question of how the units of a linguistic expression are linearly ordered in syntax. In particular, I examine interactions between locality conditions on movement and the mapping between ...

Ko, Heejeong

2005-01-01T23:59:59.000Z

268

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

269

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

270

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

271

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

272

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

273

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

274

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.

275

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

276

Applying logistic regression to relevance feedback in image retrieval systems  

Science Journals Connector (OSTI)

This paper deals with the problem of image retrieval from large image databases. A particularly interesting problem is the retrieval of all images which are similar to one in the user's mind, taking into account his/her feedback which is expressed as ... Keywords: Content-based image retrieval systems, Logistic regression, Low-level image descriptors, Visual information retrieval

T. Len; P. Zuccarello; G. Ayala; E. de Ves; J. Domingo

2007-10-01T23:59:59.000Z

277

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.

278

Linear Logic as CSP  

Science Journals Connector (OSTI)

......research-article Original Articles Linear Logic as CSP ERIC MONTEIRO Department of Informatics...translation from such proofs into a corresponding CSP process is offered. It is shown that the...between the cut elimination process and the CSP execution. Generalizations and related......

ERIC MONTEIRO

1994-08-01T23:59:59.000Z

279

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

280

PVT Correlations of Indian Crude Using Support Vector Regression  

Science Journals Connector (OSTI)

Department of Chemical Engineering, Indian Institute of Technology, Kanpur-208016, U. P., India ... Correlations for bubble point pressure, solution gas?oil ratio, oil formation volume factor (for both saturated and undersaturated crude) and viscosity (for both saturated and undersaturated crude) have been developed for Indian crude using support vector regression (SVR). ... Each data set was checked for any missing data and if found, such points were rejected. ...

Sarit Dutta; J. P. Gupta

2009-09-01T23:59:59.000Z

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

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

282

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

283

A multiple linear regression and partial least squares study of avonoid compounds with anti-HIV activity  

E-Print Network (OSTI)

.: 155-16-273-9975; fax: 155-16- 273-9975. E-mail address: alberico@iqsc.sc.usp.br (A.B.F. da Silva). #12

Ferreira, Márcia M. C.

284

Long-Term Wind Speed Analysis and Detection of its Trends Using MannKendall Test and Linear Regression Method  

Science Journals Connector (OSTI)

Exponentially growing global population, power demands, pollution levels, and on the other hand rapid advancement in means of communication have made the people aware of the complex do or die situation. Kingdom o...

Shafiqur Rehman

2013-02-01T23:59:59.000Z

285

New Approaches in Testing Common Assumptions for Regressions with Missing Data  

E-Print Network (OSTI)

(n ?1/2). We now apply the transfer principle for asymptotically linear statistics given by 7 Koul et al. (2012) to adapt the results from Theorem 2.1 for the MAR model. The complete case estimator for F (t) is given by Fc(t) = 1 N n? j=1 ?j1(?j,c ? t...

Chown, Justin Andrew

2014-07-30T23:59:59.000Z

286

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.

287

eXpress: guided path exploration for efficient regression test generation  

Science Journals Connector (OSTI)

Software programs evolve throughout their lifetime undergoing various changes. While making these changes, software developers may introduce regression faults. It is desirable to detect these faults as quickly as possible to reduce the cost involved ... Keywords: regression testing, test generation

Kunal Taneja; Tao Xie; Nikolai Tillmann; Jonathan de Halleux

2011-07-01T23:59:59.000Z

288

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

289

Linear Collider Collaboration Tech Notes  

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

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

290

Linear Fresnel | Department of Energy  

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

Linear Fresnel systems, which are a type of linear concentrator, are active in Germany, Spain, Australia, India, and the United States. The SunShot Initiative funds R&D on...

291

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

292

History of Proton Linear Accelerators  

DOE R&D Accomplishments (OSTI)

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

Alvarez, L. W.

1987-01-00T23:59:59.000Z

293

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

294

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

295

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

296

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.

297

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

298

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

299

Linear concentrating solar collector  

SciTech Connect

The present invention relates to a segment of a linear concentrating solar collector which includes two plates distanced from each other and extending parallel to each other; a member connects the plates to each other and holes are bored in each of the plates in a parallel manner along a parabolic curve. A member passes through the holes each holding a small strip made of a reflecting material all strips together forming a parabolic surface. The invention relates also to a collector comprising at least two of each segments and an absorber extending along the focus line of the entire collector. The collector is advantageously provided with horizontal and/or vertical members which ascertains that the collector can follow the position of the sun.

Aharon, N. B.

1985-08-06T23:59:59.000Z

300

Commissioning of Photon Beams of a Flattening Filter-Free Linear Accelerator and the Accuracy of Beam Modeling Using an Anisotropic Analytical Algorithm;TrueBeam; Flattening filter free; Commissioning; Anisotropic analytical algorithm  

SciTech Connect

Purpose: To investigate dosimetric characteristics of a new linear accelerator designed to deliver flattened, as well as flattening filter-free (FFF), beams. To evaluate the accuracy of beam modeling under physical conditions using an anisotropic analytical algorithm. Methods and Materials: Dosimetric data including depth dose curves, profiles, surface dose, penumbra, out-of-field dose, output, total and scatter factors were examined for four beams (X6, X6FFF, X10, and X10FFF) of Varian's TrueBeam machine. Beams modeled by anisotropic analytical algorithm were compared with measured dataset. Results: FFF beams have lower mean energy (tissue-phantom ratio at the depths of 20 and 10 cm (TPR 20/10): X6, 0.667; X6FFF, 0.631; X10, 0.738; X10FFF, 0.692); maximum dose is located closer to the surface; and surface dose increases by 10%. FFF profiles have sharper but faster diverging penumbra. For small fields and shallow depths, dose outside a field is lower for FFF beams; however, the advantage fades with increasing phantom scatter. Output increases 2.26 times for X6FFF and 4.03 times for X10FFF and is less variable with field size; collimator exchange effect is reduced. A good agreement between modeled and measured data is observed. Criteria of 2% depth-dose and 2-mm distance-to-agreement are always met. Conclusion: Reference dosimetric characteristics of TrueBeam photon bundles were obtained, and successful modeling of the beams was achieved.

Hrbacek, Jan, E-mail: jan.hrbacek@usz.ch [Department of Radiation Oncology, University Hospital Zuerich, Zuerich (Switzerland); Lang, Stephanie; Kloeck, Stephan [Department of Radiation Oncology, University Hospital Zuerich, Zuerich (Switzerland)

2011-07-15T23:59:59.000Z

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


301

TEMPERATURE PREDICTION IN 3013 CONTAINERS IN K AREA MATERIAL STORAGE (KAMS) FACILITY USING REGRESSION METHODS  

SciTech Connect

3013 containers are designed in accordance with the DOE-STD-3013-2004. These containers are qualified to store plutonium (Pu) bearing materials such as PuO2 for 50 years. DOT shipping packages such as the 9975 are used to store the 3013 containers in the K-Area Material Storage (KAMS) facility at Savannah River Site (SRS). DOE-STD-3013-2004 requires that a comprehensive surveillance program be set up to ensure that the 3013 container design parameters are not violated during the long term storage. To ensure structural integrity of the 3013 containers, thermal analyses using finite element models were performed to predict the contents and component temperatures for different but well defined parameters such as storage ambient temperature, PuO{sub 2} density, fill heights, weights, and thermal loading. Interpolation is normally used to calculate temperatures if the actual parameter values are different from the analyzed values. A statistical analysis technique using regression methods is proposed to develop simple polynomial relations to predict temperatures for the actual parameter values found in the containers. The analysis shows that regression analysis is a powerful tool to develop simple relations to assess component temperatures.

Gupta, N

2008-04-22T23:59:59.000Z

302

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

SciTech Connect

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

303

Proof-of-Principle Detonation Driven, Linear Electric Generator Facility  

E-Print Network (OSTI)

Proof-of-Principle Detonation Driven, Linear Electric Generator Facility Eric M. Braun, Frank K. Lu is described in which a detonation-driven piston system has been integrated with a linear generator in order in a single mass, two-spring system where the detonation wave pressure may be modeled as a variable force

Texas at Arlington, University of

304

Linear and Non Linear Analysis of the Hadley Circulation  

Science Journals Connector (OSTI)

We present a synthesis of results obtained with the linear stability of the one-cell Hadley circulation. This flow is observe in the...

P. Laure; B. Roux

1990-01-01T23:59:59.000Z

305

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

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

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

306

Berkeley Proton Linear Accelerator  

DOE R&D Accomplishments (OSTI)

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

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

1953-10-13T23:59:59.000Z

307

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

308

Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market  

SciTech Connect

For the economic and secure operation of power systems, a precise short-term load forecasting technique is essential. Modern load forecasting techniques - especially artificial neural network methods - are particularly attractive, as they have the ability to handle the non-linear relationships between load, weather temperature, and the factors affecting them directly. A test of two different ANN models on data from Australia's Victoria market is promising. (author)

Tripathi, M.M.; Upadhyay, K.G.; Singh, S.N.

2008-11-15T23:59:59.000Z

309

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

310

Unit I-3 Linear Independence & Bases 1 Linear independence & bases  

E-Print Network (OSTI)

} ­ so we can write u1 = c2u2 + c3u3 + ... + crur with not all ci = 0 ­ re-arranging gives a non-zero lc u1 - c2u2 - c3u3 - ... - crur = 0 so the vectors are linearly dependent ! Unit I-3 Linear

Birkett, Stephen

311

Linear and Convex Optimization  

E-Print Network (OSTI)

, Assignments, Optional Projects: https://t-square.gatech.edu/portal/site/gtc-6089-dba2-5a47-b722-565937d0333d for submis- sions 04/01/2014 Software environment: MATLAB and CVX CVX is an excellent user-friendly optimization solver working under MATLAB, free download at http://cvxr.com/cvx/ E. Optional bonus modeling

Nemirovski, Arkadi

312

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

313

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

314

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

315

Coupling Climate Damages and GHG Abatement Costs in a Linear Programming Framework  

Science Journals Connector (OSTI)

The paper discusses the coupling of non-linear non-convex damage costs due to climate change with a cost-efficiency analysis based on a technical-economic linear programming model like MARKAL and studies the impl...

M. Labriet; R. Loulou

2003-09-01T23:59:59.000Z

316

Homogeneous Charge Compression Ignition Free Piston Linear Alternator  

SciTech Connect

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

317

Penetration rate prediction for diamond bit drilling by adaptive neuro-fuzzy inference system and multiple regressions  

Science Journals Connector (OSTI)

Abstract In many mining, civil, and petroleum engineering applications diamond bit drilling is widely used due to high penetration rate, core recovery and its ability to drill with less deviation. Recently, many research have been conducted to estimate the penetration rate of diamond drilling which can be considered as one of the most important parameters in project planning and cost estimation of the operation. A database covering the rock properties and the machine operational parameters collected from seven different drilling sites in Turkey is constructed. Construction of an adaptive neuro-fuzzy inference system and the multiple regression models for predicting the penetration rate of diamond drilling is described. In the models, rock properties such as the uniaxial compressive strength, the rock quality designation, and the equipment operational parameters like bit load and bit rotation are considered. Although the prediction performance of multiple regression models is high, the adaptive neuro-fuzzy inference model exhibits better performance based on the comparison of performance indicators. By using the models, penetration rate of diamond bit drilling can be predicted effectively.

H. Basarir; L. Tutluoglu; C. Karpuz

2014-01-01T23:59:59.000Z

318

Non-linear dark energy clustering  

SciTech Connect

We consider a dark energy fluid with arbitrary sound speed and equation of state and discuss the effect of its clustering on the cold dark matter distribution at the non-linear level. We write the continuity, Euler and Poisson equations for the system in the Newtonian approximation. Then, using the time renormalization group method to resum perturbative corrections at all orders, we compute the total clustering power spectrum and matter power spectrum. At the linear level, a sound speed of dark energy different from that of light modifies the power spectrum on observationally interesting scales, such as those relevant for baryonic acoustic oscillations. We show that the effect of varying the sound speed of dark energy on the non-linear corrections to the matter power spectrum is below the per cent level, and therefore these corrections can be well modelled by their counterpart in cosmological scenarios with smooth dark energy. We also show that the non-linear effects on the matter growth index can be as large as 1015 per cent for small scales.

Anselmi, Stefano; Ballesteros, Guillermo [Dipartimento di Fisica ''G. Galilei'', Universit degli Studi di Padova, via Marzolo 8, I-35131 Padua (Italy); Pietroni, Massimo, E-mail: anselmi@pd.infn.it, E-mail: ballesteros@pd.infn.it, E-mail: pietroni@pd.infn.it [INFN Sezione di Padova, via Marzolo 8, I-35131 Padua (Italy)

2011-11-01T23:59:59.000Z

319

A first order geometric auto regressive process for boundary layer wind speed simulation  

Science Journals Connector (OSTI)

Under certain conditions the first order geometric auto regressive (AR) process has statistical properties similar to atmospheric boundary layer wind speed. In this contribution, we investigate ... this stochas...

T. Laubrich; H. Kantz

2009-08-01T23:59:59.000Z

320

About First Order Geometric Auto Regressive Processes for Boundary Layer Wind Speed Simulation  

Science Journals Connector (OSTI)

Under certain conditions the first order geometric auto regressive process has statistical properties similar to atmospheric boundary layer wind speed. In this contribution, we investigate ... this stochastic pro...

Thomas Laubrich; Holger Kantz

2010-01-01T23:59:59.000Z

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.


321

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

E-Print Network (OSTI)

Indoor Air Quality in New Homes. California Air Resourcesprograms, likely because WAP homes were more leaky pre-Air Leakage of US Homes: Regression Analysis and

Chan, Wanyu R.

2014-01-01T23:59:59.000Z

322

Two Applications of Nonparametric Regression in Survey Estimation  

E-Print Network (OSTI)

) Nonparametric model-assisted estimator (b) Utah Forest Survey 4. Specific Inference for Survey Data (a (m) System asp aspect (deg) (GIS) slope slope (deg) hillshd hillshade (solar radiation) N = 67, 216 Moderate generic specific model-assisted model-based Small specific small domain estimation · "Number

323

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

SciTech Connect

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

324

Regression analysis of technical parameters affecting nuclear power plant performances  

SciTech Connect

Since the 80's many studies have been conducted in order to explicate good and bad performances of commercial nuclear power plants (NPPs), but yet no defined correlation has been found out to be totally representative of plant operational experience. In early works, data availability and the number of operating power stations were both limited; therefore, results showed that specific technical characteristics of NPPs were supposed to be the main causal factors for successful plant operation. Although these aspects keep on assuming a significant role, later studies and observations showed that other factors concerning management and organization of the plant could instead be predominant comparing utilities operational and economic results. Utility quality, in a word, can be used to summarize all the managerial and operational aspects that seem to be effective in determining plant performance. In this paper operational data of a consistent sample of commercial nuclear power stations, out of the total 433 operating NPPs, are analyzed, mainly focusing on the last decade operational experience. The sample consists of PWR and BWR technology, operated by utilities located in different countries, including U.S. (Japan)) (France)) (Germany)) and Finland. Multivariate regression is performed using Unit Capability Factor (UCF) as the dependent variable; this factor reflects indeed the effectiveness of plant programs and practices in maximizing the available electrical generation and consequently provides an overall indication of how well plants are operated and maintained. Aspects that may not be real causal factors but which can have a consistent impact on the UCF, as technology design, supplier, size and age, are included in the analysis as independent variables. (authors)

Ghazy, R.; Ricotti, M. E.; Trueco, P. [Politecnico di Milano, Via La Masa, 34, 20156 Milano (Italy)

2012-07-01T23:59:59.000Z

325

Prototype of an adaptive disruption predictor for JET based on fuzzy logic and regression trees  

Science Journals Connector (OSTI)

Disruptions remain one of the most hazardous events in the operation of a tokamak device, since they can cause damage to the vacuum vessel and surrounding structures. Their potential danger increases with the plasma volume and energy content and therefore they will constitute an even more serious issue for the next generation of machines. For these reasons, in the recent years a lot of attention has been devoted to devise predictors, capable of foreseeing the imminence of a disruption sufficiently in advance, to allow time for undertaking remedial actions. In this paper, the results of applying fuzzy logic and classification and regression trees (CART) to the problem of predicting disruptions at JET are reported. The conceptual tools of fuzzy logic, in addition to being well suited to accommodate the opinion of experts even if not formulated in mathematical but linguistic terms, are also fully transparent, since their governing rules are human defined. They can therefore help not only in forecasting disruptions but also in studying their behaviour. The analysis leading to the rules of the fuzzy predictor has been complemented with a systematic investigation of the correlation between the various experimental signals and the imminence of a disruption. This has been performed with an exhaustive, non-linear and unbiased method based on decision trees. This investigation has confirmed that the relative importance of various signals can change significantly depending on the plasma conditions. On the basis of the results provided by CART on the information content of the various quantities, the prototype of an adaptive fuzzy logic predictor was trained and tested on JET database. Its performance is significantly better than the previous static one, proving that more flexible prediction strategies, not uniform over the whole discharge but tuned to the operational region of the plasma at any given time, can be very competitive and should be investigated systematically.

A. Murari; G. Vagliasindi; P. Arena; L. Fortuna; O. Barana; M. Johnson; JET-EFDA Contributors

2008-01-01T23:59:59.000Z

326

[New technology for linear colliders  

SciTech Connect

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

327

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

328

linear-elements-code.scm  

E-Print Network (OSTI)

(o Linear-finite-element-operator)) ;; initialize various fields that depend on the space ;; if coefficients is not defined, we set it to arrays of floating-point ;; zeros...

329

Highly linear low noise amplifier  

E-Print Network (OSTI)

, the Low Noise Amplifier (LNA) is expected to provide high linearity, thus preventing the intermodulation tones created by the interference signal from corrupting the carrier signal. The research focuses on designing a novel LNA which achieves high...

Ganesan, Sivakumar

2007-09-17T23:59:59.000Z

330

Linear Accelerator | Advanced Photon Source  

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

(MeV). At 450 MeV, the electrons are relativistic: they are traveling at >99.999% of the speed of light, which is 299,792,458 meters second (186,000 milessecond). Photo: Linear...

331

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.

332

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

333

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

334

SunShot Initiative: Linear Fresnel  

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

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

335

Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting  

Science Journals Connector (OSTI)

Abstract We present a new multiple criteria sorting method deriving from Dominance-based Rough Set Approach (DRSA). The preference information supplied by the Decision Maker (DM) is a set of possibly imprecise and inconsistent assignment examples on a subset of reference alternatives relatively well-known to the DM. To structure the data we use DRSA, and subsequently, represent the assignment examples by all minimal sets of rules covering all alternatives from the lower approximations of class unions. Such a set of rules is called minimal-cover set it is one of the instances of the preference model compatible with DMs preference information. In this way, we implement the principle of Robust Ordinal Regression (ROR) to decision rule preference model. For each alternative, we derive the necessary and possible assignments specifying the range of classes to which the alternative is assigned by all or at least one compatible set of rules, respectively, as well as class acceptability indices. We also introduce the notion of a representative compatible minimal-cover set of rules whose selection builds on the results of ROR, addressing the robustness concern. Application of the approach is demonstrated by classifying 69 land zones in 4 classes representing different risk levels.

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

2014-01-01T23:59:59.000Z

336

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

337

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

338

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.

339

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.

340

Linear Collider Collaboration Tech Notes  

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

6, 27/05/99 6, 27/05/99 Tolerances of Random RF Jitters in X-Band Main Linacs May 27, 1999 Kiyoshi KUBO KEK Tsukuba, Japan Abstract: Tracking simulations have been performed for the main linacs of an X-band linear collider. We discuss the choice of phase of the accelerating field relative to the bunches. The tolerances of the phase and the amplitude errors are studied. Tolerances of Random RF Jitters in X-Band Main Linacs K. Kubo, KEK Abstract Tracking simulations have been performed for main linacs of X-band linear collider. We discuss about choice of the phase of the accelerating field relative to the bunches. The tolerances of the phase and the amplitude errors are studied. 1 INTRODUCTION In order to preserve the low emittance through the main linacs of future linear colliders, various effects

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

Independent Oversight Inspection, Stanford Linear Accelerator...  

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

Stanford Linear Accelerator Center - January 2007 January 2007 Inspection of Environment, Safety, and Health Programs at the Stanford Linear Accelerator Center This report...

342

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.

343

The Next Linear Collider: NLC2001  

SciTech Connect

Recent studies in elementary particle physics have made the need for an e{sup +}e{sup -} linear collider able to reach energies of 500 GeV and above with high luminosity more compelling than ever [1]. Observations and measurements completed in the last five years at the SLC (SLAC), LEP (CERN), and the Tevatron (FNAL) can be explained only by the existence of at least one particle or interaction that has not yet been directly observed in experiment. The Higgs boson of the Standard Model could be that particle. The data point strongly to a mass for the Higgs boson that is just beyond the reach of existing colliders. This brings great urgency and excitement to the potential for discovery at the upgraded Tevatron early in this decade, and almost assures that later experiments at the LHC will find new physics. But the next generation of experiments to be mounted by the world-wide particle physics community must not only find this new physics, they must find out what it is. These experiments must also define the next important threshold in energy. The need is to understand physics at the TeV energy scale as well as the physics at the 100-GeV energy scale is now understood. This will require both the LHC and a companion linear electron-positron collider. A first Zeroth-Order Design Report (ZDR) [2] for a second-generation electron-positron linear collider, the Next Linear Collider (NLC), was published five years ago. The NLC design is based on a high-frequency room-temperature rf accelerator. Its goal is exploration of elementary particle physics at the TeV center-of-mass energy, while learning how to design and build colliders at still higher energies. Many advances in accelerator technologies and improvements in the design of the NLC have been made since 1996. This Report is a brief update of the ZDR.

D. Burke et al.

2002-01-14T23:59:59.000Z

344

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

345

Diagnosis of Harmful Aspects Using Regression Verification Shmuel Katz  

E-Print Network (OSTI)

, and aspect validation using model checking. Static analysis of only the aspect code is effective when are not harmed by an aspect, also by treating only the aspect code. Aspect validation to establish lack of harm the treatment of concerns that otherwise are scattered throughout the system, and tangled with code treating

Leavens, Gary T.

346

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.

347

Conformational properties of blends of cyclic and linear polymer melts  

Science Journals Connector (OSTI)

An adapted version of the annealing algorithm to identify primitive paths of a melt of ring polymers is presented. This algorithm ensures that the primitive path length becomes zero for nonconcatenated rings, and that no entanglements are observed. The bond-fluctuation model was used to simulate ring-linear blends with N=150 and 300 monomers. The primitive path length and the average number of entanglements of the linear component were found to be independent of the blend composition. In contrast, the primitive path length and the average number of entanglements on a ring molecule increased approximately linearly with the fraction of linear chains, and for large N, they approached values comparable with linear chains. Threading of ring molecules by linear chains, and ring-ring interactions were observed only in the presence of linear chains. It is conjectured that for large N, these latter interactions facilitate the formation of a percolating entangled network, thereby resulting in a disproportionate retardation of the dynamical processes.

Gopinath Subramanian and Sachin Shanbhag

2008-01-14T23:59:59.000Z

348

Classification and regression trees for epidemiologic research: an air pollution example  

Science Journals Connector (OSTI)

Regression trees can be used to hypothesize about joint effects of exposure mixtures and may be particularly useful in the field of air pollution epidemiology for gaining a better understanding of...

Katherine Gass; Mitch Klein; Howard H Chang; W Dana Flanders

2014-03-01T23:59:59.000Z

349

The Economic Value of Irrigation Water in the Western United States: An Application to Ridge Regression  

E-Print Network (OSTI)

problem ridge regression was employed. While admittedly a biased estimation technique, the credibility of the estimates appeared to increase. All parameter estimates, except for one out of 99, took on the expected positive sign and the standard errors were...

Frank, M. D.; Beattie, B. R.

350

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

E-Print Network (OSTI)

Although the literature on measurement error problems is quite extensive, solutions to even the most fundamental measurement error problems like density deconvolution and regression with errors-in-covariates are available only under numerous...

Sarkar, Abhra

2014-06-24T23:59:59.000Z

351

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

352

Spatial postprocessing of ensemble forecasts for temperature using nonhomogeneous Gaussian regression  

Science Journals Connector (OSTI)

Statistical postprocessing techniques are commonly used to improve the skill of ensembles of numerical weather forecasts. This paper considers spatial extensions of the well-established nonhomogeneous Gaussian regression (NGR) postprocessing ...

Kira Feldmann; Michael Scheuerer; Thordis L. Thorarinsdottir

353

ECOLOGIC REGRESSION ANALYSIS AND THE STUDY OF THE INFLUENCE OF AIR QUALITY ON MORTALITY  

E-Print Network (OSTI)

Control II Variables Air Quality Regression CoefficientsAppendices A. Sources of Air Quality and 11 Control" Data B.The relationship of air quality to disease has been

Selvin, S.

2014-01-01T23:59:59.000Z

354

Origin of the Increased Activity of ?-Glucuronidase in the Soluble Fraction of Rat Mammary Tumors during Ovariectomy-induced Regression  

Science Journals Connector (OSTI)

...in the activity of beta-glucuronidase midway regression was not paralleled by an increase...in the activity of beta-glucuronidase midway regression was not paralleled by an increase...increase in the activity of Y- glucuronidase midway regression was not paralleled by an increase...

Edvard P. Beem; Michel J. X. Hillebrand; Catherine Benckhuijsen; Bernard Overdijk

1987-08-01T23:59:59.000Z

355

Mathematical modeling for the performance and emission parameters of dual fuel diesel engine using hydrogen as secondary fuel  

Science Journals Connector (OSTI)

Abstract In this work, mathematical models were developed to correlate the brake thermal efficiency, un-burnt hydrocarbons, carbon monoxides and oxides of nitrogen by varying engine parameters like Load and Gaseous (H2) fuel substitution. The developed models can be used to predict the important performance and emission parameters for diesel-hydrogen operation in various combinations at different loads within the experimental domain. Response surface methodology (RSM) has been applied for developing the models using the techniques of design of experiments and multi linear regression analysis. General factorial design was used to plan the experiments. Second order response surface models were found to be the most suitable in the present work. Analysis of variance (ANOVA) of the experimental results at 95% confidence level revealed that the developed models are significant. Comparison of experimental output with those predicted by the developed models showed close proximity having high correlation coefficients R2 for the various response variables.

A.E. Dhole; R.B. Yarasu; D.B. Lata; S.S. Baraskar

2014-01-01T23:59:59.000Z

356

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

357

Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis  

Science Journals Connector (OSTI)

Abstract The prediction of GHG emissions is very important due to their negative impacts on climate and global warming. The aim of this study was to develop a model for GHG forecasting emissions at the national level using a new approach based on artificial neural networks (ANN) and broadly available sustainability, economical and industrial indicators acting as inputs. The ANN model architecture and training parameters were optimized, with inputs being selected using correlation analysis and principal component analysis. The developed ANN models were compared with the corresponding multiple linear regression (MLR) model, while an ANN model created using transformed inputs (principal components) was compared with a principal component regression (PCR) model. Since the best results were obtained with the ANN model based on correlation analysis, that particular model was selected for the actual 2011 GHG emissions forecasting. The relative errors of the 2010 GHG emissions predictions were used to adjust the ANN model predictions for 2011, which subsequently resulted in the adjusted 2011 predictions having a MAPE value of only 3.60%. Sensitivity analysis showed that gross inland energy consumption had the highest sensitivity to GHG emissions.

Davor Z. Antanasijevi?; Mirjana ?. Risti?; Aleksandra A. Peri?-Gruji?; Viktor V. Pocajt

2014-01-01T23:59:59.000Z

358

Linear Collider Collaboration Tech Notes  

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

Notes Notes LCC - 0018, 15/06/99 Rev B, June 2002 Correct Account of RF Deflections in Linac Acceleration June 15, 1999 G.V. Stupakov Stanford Linear Accelerator Center Stanford, California Abstract: During acceleration in the linac structure, the beam not only increases its longitudinal momentum, but also experiences a transverse kick from the accelerating mode which is linear in accelerating gradient. This effect is neglected in such computer codes as LIAR and TRANSPORT. We derived the Hamiltonian equations that describe the effect of RF deflection into the acceleration process and included it into the computational engine of LIAR. By comparing orbits for the NLC main linac, we found that the difference between the two algorithms is about 10\%. The effect will be more pronounced at smaller

359

Lattice Boltzmann BGK simulation of non-linear sound waves: The development of a shock front  

E-Print Network (OSTI)

Lattice Boltzmann BGK simulation of non-linear sound waves: The development of a shock front J. M Boltzmann model to simulating non-linear propagative acoustic waves is considered. The lattice Boltzmann propagation at highReynolds numberis considered. These results suggest that the lattice Boltzmann model

Boyer, Edmond

360

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

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

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

362

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

363

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

364

Optimized groundwater containment using linear programming  

SciTech Connect

Groundwater extraction systems are typically installed to contain contaminant plumes. These systems are expensive to install and maintain. A traditional approach to designing such a wellfield is to use a series of trial-and-error simulations to test the effects of various well locations and pump rates. However, optimal locations and pump rates of extraction wells are difficult to determine when the objectives of the potential pumping scheme and the site hydrogeology are considered. This paper describes a case study of an application of linear programming theory to determine optimal well placement and pump rates. Calculations were conducted by using ModMan to link a calibrated MODFLOW flow model with LINDO, a linear programming package. Past activities at the site under study included disposal of contaminants in pits. Several groundwater plumes have been identified, and others may be present. The area of concern is bordered on three sides by a wetland, which receives a portion of its input water budget as groundwater discharge from the disposal area. The objective function of the optimization was to minimize the rate of groundwater extraction while preventing discharge to the marsh across a user-specified boundary. In this manner, the optimization routine selects well locations and pump rates to produce a groundwater divide along this boundary.

Quinn, J.J.; Johnson, R.L.; Durham, L.A.

1998-07-01T23:59:59.000Z

365

An integrated approach for rapid phase behavior calculations in compositional modeling  

Science Journals Connector (OSTI)

Abstract The solution of the hydrocarbon phase equilibria problem through the use of an Equation of State (EoS) requires substantial computational power due to the complexity and iterative nature of the calculations particularly when the reservoir fluid needs to be described with a significant number of components. This high CPU time demand becomes particularly acute during the execution of compositional reservoir simulations as the phase equilibria problem needs to be solved repeatedly for each discretization block and at each iteration of the non-linear solver. Solving the hydrocarbon phase equilibrium problem is often reported to consume more than 50% of the simulation?s total CPU time, thus making the speeding up of these calculations a challenge of great interest. In this work, an integrated approach is presented which utilizes classification and regression models to provide direct answers to both the phase stability and phase split problems during compositional modeling. The models are generated offline, in an automated way, once the selected EoS model is tuned and finalized and prior to setting up and running the reservoir or process simulator. First, classifiers are trained, as previously presented in the literature, utilizing the fluid?s tuned EoS model, which label the fluid?s state as stable or unstable for given feed composition, pressure and temperature. Second, regression models are generated so as to provide the prevailing reduced variables values, thus emulating the unknown closed-form solution of the Equation-of-State based reduced flash formulation. An unsupervised training technique is proposed to optimize the usage of the regression model?s learning capacity. Once the models are generated an unlimited number of compositional modeling calculations can be made during which the models developed beforehand are simply called to determine directly both the stability state of the feed and the phase split reduced variables values, if the mixture is found unstable, which, in turn, will lead to the equilibrium phases properties and molar ratios. By providing the reduced variables values instead of the full equilibrium coefficients set, the regression model expression is kept simple, thus very fast to evaluate compared to the conventional iterative algorithms. The method is applicable to any type of simulation models requiring a great number of phase behavior calculations. The proposed approach is presented in two-phase equilibria formulation although it can be directly extended to multi-phase equilibria applications. Examples demonstrate the accuracy of the calculations and the very significant performance improvement achieved with respect to currently used methods.

Vassilis Gaganis; Nikos Varotsis

2014-01-01T23:59:59.000Z

366

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

367

Capacity expansion analysis in a chemical plant using linear programming  

Science Journals Connector (OSTI)

An analysis of the fuel additive production process of a US mid-western chemical manufacturer is described. Material balance constraints for each potential bottleneck of the manufacturing process are included as part of a linear programming model. Several capacity expansion scenarios are evaluated. The optimal way of modifying and expanding manufacturing capacity to meet forecast demand is determined.

Kenneth H. Myers; Reuven R. Levary

1996-01-01T23:59:59.000Z

368

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

369

An extension of the linear delta expansion to superspace  

SciTech Connect

We introduce and discuss the method of linear delta expansion for the calculation of effective potentials in superspace, by adopting the improved version of the super-Feynman rules. Calculations are carried out up to two loops and an expression for the optimized Kaehler potential in the Wess-Zumino model is worked out.

Abdalla, M. C. B.; Senise, Carlos R. Jr. [Instituto de Fisica Teorica, UNESP, Rua Pamplona 145, Bela Vista, Sao Paulo, SP, 01405-900 (Brazil); Helayeel-Neto, J. A. [Centro Brasileiro de Pesquisas Fisicas, Rua Dr. Xavier Sigaud 150, Urca, Rio de Janeiro, RJ, 22290-180 (Brazil); Nedel, Daniel L. [Universidade Federal do Pampa, Rua Carlos Barbosa S/N, Bairro Getulio Vargas, 96412-420, Bage, RS (Brazil)

2008-06-15T23:59:59.000Z

370

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

371

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

372

A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA  

Science Journals Connector (OSTI)

The Paonia-McClure Pass area of Colorado has been recognized as a region highly susceptible to mass movement. Because of the dynamic nature of this landscape, accurate methods are needed to predict susceptibil...

Netra R. Regmi; John R. Giardino; Eric V. McDonald; John D. Vitek

2014-04-01T23:59:59.000Z

373

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

E-Print Network (OSTI)

, for example Jolliffer, 1986; Van Rijckevorsel and de Leeuw, 1988; FlUry, 1988; Jackson, 1991; Daultrey, 1976) is a statistical technique useful for describing and summarizing data. It takes a group of "n" variables and re-expresses them as another set... if T and RH are known (Zaikong et al., 1985); (5) solar radiation SOL; and, (6) wind speed WIND. Weather independent variables include: (l) time schedules: regular (weekdays, weekends, holidays) and stochastic; (2) lighting loads; (3) occupant loads...

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

374

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.

375

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

376

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

377

Regression of Glioma in Rat Models by Intranasal Application of Parvovirus H-1  

Science Journals Connector (OSTI)

...digitized using a Leica DMRBE fluorescent microscope (Leica) equipped...infection of immunocompetent rats led to induction of H-1PV-neutralizing...indicated: (1) olfactory bulbs, (2) frontal cortex/caudate...signals). A, area of olfactory bulbs; B, tumor area; C, cerebellum...

Irina Kiprianova; Nadja Thomas; Ali Ayache; Manuel Fischer; Barbara Leuchs; Michle Klein; Jean Rommelaere; and Jrg R. Schlehofer

2011-08-15T23:59:59.000Z

378

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

E-Print Network (OSTI)

of energy and CO2 emitter in the EU and is the major energy consumer of the EU's total final energy consumption and CO2 emissions. Buildings account for 40­45% of energy consumption in Europe and China (and estimation of the energy consumption is very difficult. So, we need precise and easy to use support tools

Paris-Sud XI, Université de

379

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

380

Nonlinear relationship between health care expenditure and its determinants: a panel smooth transition regression model  

Science Journals Connector (OSTI)

This paper employs a panel of 16 OECD countries over the period 19752009 to reexamine the health care expenditure (HCE)-income relationship by considering a lagged ratio of public expenditures on health as th...

Po-Chin Wu; Shiao-Yen Liu; Sheng-Chieh Pan

2014-11-01T23:59:59.000Z

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.


381

Linear Collider Collaboration Tech Notes LCC-0109  

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

9 9 TESLA 2002-11 CBP Tech Note-269 November 2002 Alignment Stability Models for Damping Rings Andrej Wolski Lawrence Berkeley National Laboratory University of California Berkeley, CA Winfried Decking Deutsches Elektron Synchrotron (DESY) Hamburg, Germany Abstract: Linear collider damping rings are highly sensitive to magnet alignment. Emittance tuning simulations for current designs of damping rings for TESLA and NLC have given encouraging results, but depend on invasive measurements of dispersion. The frequency with which such measurements must be made is therefore an operational issue, and depends on the time stability of the alignment. In this note, we consider three effects that lead to misalignment and the need to retune the damping ring: (1)

382

Cryogenic technology boosts linear accelerator capability  

Science Journals Connector (OSTI)

Cryogenic technology boosts linear accelerator capability ... Two critical properties of matter at cryogenic temperaturessuperconductivity and superfluidityshould open the way for a major advance in electron linear accelerator capability. ...

1968-05-06T23:59:59.000Z

383

Ultrashort Pulse Propagation in the Linear Regime  

E-Print Network (OSTI)

First, we investigate the Bouguer-Lambert-Beer (BLB) law as applied to the transmission of ultrashort pulses through water in the linear absorption regime. We present a linear theory for propagation of ultrashort laser pulses, and related...

Wang, Jieyu

2010-07-14T23:59:59.000Z

384

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

385

The Next Linear Collider Program  

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

To use the left side navigation on this page, you will need to turn on To use the left side navigation on this page, you will need to turn on Javascript. You do not need JavaScript to use the text-based navigation bar at the bottom of the page. The Next Linear Collider at SLAC Navbar MISSION: Scientists expect research at this facility to answer fundamental questions about the behavior of matter and the origins of the Universe. NLC 8-Pack on the Drawing Board What's New In the Next Linear Collider: • NLC Newsletter October, 2001 • NLC Snowmass report 2001 • NLC All Hands Talk, August 2001 Upcoming Events: • Fall 2001 Working Sessions, Oct. 22-23, 2001 • Pulse Compression Workshop, Oct. 22-24, 2001 • Machine Advisory Committee Mtg., Oct. 24-26, 2001 • ISG-7 at KEK, Nov. 12-15, 2001 • LC' 02 at SLAC, Feb. 4-8, 2002 NLC Website Search: Entire SLAC Web | Help |

386

Challenges in future linear colliders  

SciTech Connect

For decades, electron-positron colliders have been complementing proton-proton colliders. But the circular LEP, the largest e-e+ collider, represented an energy limit beyond which energy losses to synchrotron radiation necessitate moving to e-e+ linear colliders (LCs), thereby raising new challenges for accelerator builders. Japanese-American, German, and European collaborations have presented options for the Future Linear Collider (FLC). Key accelerator issues for any FLC option are the achievement of high enough energy and luminosity. Damping rings, taking advantage of the phenomenon of synchrotron radiation, have been developed as the means for decreasing beam size, which is crucial for ensuring a sufficiently high rate of particle-particle collisions. Related challenges are alignment and stability in an environment where even minute ground motion can disrupt performance, and the ability to monitor beam size. The technical challenges exist within a wider context of socioeconomic and political challenges, likely necessitating continued development of international collaboration among parties involved in accelerator-based physics.

Swapan Chattopadhyay; Kaoru Yokoya

2002-09-02T23:59:59.000Z

387

Repair of overheating linear accelerator  

SciTech Connect

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; OHara, James; Perez, Edward; Roller, Brandon; Rybarcyk, Lawrence; Stark, Peter; Stockton, Jerry

2004-01-01T23:59:59.000Z

388

General linear methods for Volterra integral equations  

Science Journals Connector (OSTI)

We investigate the class of general linear methods of order p and stage order q=p for the numerical solution of Volterra integral equations of the second kind. Construction of highly stable methods based on the Schur criterion is described and examples ... Keywords: Convolution test equation, General linear methods, Linear stability analysis, Order conditions, Volterra integral equations

G. Izzo; Z. Jackiewicz; E. Messina; A. Vecchio

2010-09-01T23:59:59.000Z

389

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

390

Governance of the International Linear Collider Project  

SciTech Connect

Governance models for the International Linear Collider Project are examined in the light of experience from similar international projects around the world. Recommendations for one path which could be followed to realize the ILC successfully are outlined. The International Linear Collider (ILC) is a unique endeavour in particle physics; fully international from the outset, it has no 'host laboratory' to provide infrastructure and support. The realization of this project therefore presents unique challenges, in scientific, technical and political arenas. This document outlines the main questions that need to be answered if the ILC is to become a reality. It describes the methodology used to harness the wisdom displayed and lessons learned from current and previous large international projects. From this basis, it suggests both general principles and outlines a specific model to realize the ILC. It recognizes that there is no unique model for such a laboratory and that there are often several solutions to a particular problem. Nevertheless it proposes concrete solutions that the authors believe are currently the best choices in order to stimulate discussion and catalyze proposals as to how to bring the ILC project to fruition. The ILC Laboratory would be set up by international treaty and be governed by a strong Council to whom a Director General and an associated Directorate would report. Council would empower the Director General to give strong management to the project. It would take its decisions in a timely manner, giving appropriate weight to the financial contributions of the member states. The ILC Laboratory would be set up for a fixed term, capable of extension by agreement of all the partners. The construction of the machine would be based on a Work Breakdown Structure and value engineering and would have a common cash fund sufficiently large to allow the management flexibility to optimize the project's construction. Appropriate contingency, clearly apportioned at both a national and global level, is essential if the project is to be realised. Finally, models for running costs and decommissioning at the conclusion of the ILC project are proposed. This document represents an interim report of the bodies and individuals studying these questions inside the structure set up and supervised by the International Committee for Future Accelerators (ICFA). It represents a request for comment to the international community in all relevant disciplines, scientific, technical and most importantly, political. Many areas require further study and some, in particular the site selection process, have not yet progressed sufficiently to be addressed in detail in this document. Discussion raised by this document will be vital in framing the final proposals due to be published in 2012 in the Technical Design Report being prepared by the Global Design Effort of the ILC.

Foster, B.; /Oxford U.; Barish, B.; /Caltech; Delahaye, J.P.; /CERN; Dosselli, U.; /INFN, Padua; Elsen, E.; /DESY; Harrison, M.; /Brookhaven; Mnich, J.; /DESY; Paterson, J.M.; /SLAC; Richard, F.; /Orsay, LAL; Stapnes, S.; /CERN; Suzuki, A.; /KEK, Tsukuba; Wormser, G.; /Orsay, LAL; Yamada, S.; /KEK, Tsukuba

2012-05-31T23:59:59.000Z

391

Lattice Boltzmann method for linear oscillatory noncontinuum flows  

Science Journals Connector (OSTI)

Oscillatory gas flows are commonly generated by micro- and nanoelectromechanical systems. Due to their small size and high operating frequencies, these devices often produce noncontinuum gas flows. Theoretical analysis of such flows requires solution of the unsteady Boltzmann equation, which can present a formidable challenge. In this article, we explore the applicability of the lattice Boltzmann (LB) method to such linear oscillatory noncontinuum flows; this method is derived from the linearized Boltzmann Bhatnagar-Gross-Krook (BGK) equation. We formulate four linearized LB models in the frequency domain, based on Gaussian-Hermite quadratures of different algebraic precision (AP). The performance of each model is assessed by comparison to high-accuracy numerical solutions to the linearized Boltzmann-BGK equation for oscillatory Couette flow. The numerical results demonstrate that high even-order LB models provide superior performance over the greatest noncontinuum range. Our results also highlight intrinsic deficiencies in the current LB framework, which is incapable of capturing noncontinuum behavior at high oscillation frequencies, regardless of quadrature AP and the Knudsen number.

Yong Shi; Ying Wan Yap; John E. Sader

2014-03-12T23:59:59.000Z

392

Linear Collider Collaboration Tech Notes  

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

0 0 April 2001 Rev.1 July 2003 Guide to LIBXSIF, a Library for Parsing the Extended Standard Input Format of Accelerated Beamlines Peter G. Tenenbaum Stanford Linear Accelerator Center Stanford University Stanford, CA Abstract: We describe LIBXSIF, a standalone library for parsing the Extended Standard Input Format of accelerator beamlines. Included in the description are: documentation of user commands; full description of permitted accelerator elements and their attributes; the construction of beamline lists; the mechanics of adding LIBXSIF to an existing program; and "under the hood" details for users who wish to modify the library or are merely morbidly curious. Guide to LIBXSIF, a Library for Parsing the Extended Standard Input Format of

393

Linear Collider Collaboration Tech Notes  

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

NLC Home Page NLC Technical SLAC The LCC Tech Note series was started in July 1998 to document the JLC/NLC collaborative design effort. The notes are numbered sequentially and may also be given a SLAC, FNAL, LBNL, LLNL and/or KEK publication number. The LCC notes will be distributed through the Web in electronic form as PDF files -- the authors are responsible for keeping the original documents. Other document series are the NLC Notes that were started for the SLAC ZDR, the KEK ATF Notes, and at some future time there should be a series of Technical (NLD) Notes to document work on detector studies for the next-generation linear collider. LCC-0001 "Memorandum of Understanding between KEK and SLAC," 2/98. LCC-0002 "Transparencies and Summaries from the 1st ISG meeting: January 1998," G. Loew, ed., 2/98.

394

Linear Collider Collaboration Tech Notes  

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

5 08//00 5 08//00 Study of Beam Energy Spectrum Measurement in the NLC Extraction Line August 2000 Yuri Nosochkov and Tor Raubenheimer Stanford Linear Accelerator Center Stanford, CA Abstract: The NLC extraction line optics includes a secondary focal point with a very small _- function and 2 cm dispersion which can be used for measurement of outgoing beam energy spread. In this study, we performed tracking simulations to transport the NLC disrupted beam from the Interaction Point (IP) to the extraction line secondary focus (the IP image), `measure' the transverse beam pro_le at the IP image and reconstruct the beam energy spectrum. The resultant distribution was compared with the original energy spectrum at the IP. Study of Beam Energy Spectrum Measurement

395

Linear Collider Collaboration Tech Notes  

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

2 03/12/99 2 03/12/99 PEP-II RF Cavity Revisited December 3, 1999 R. Rimmer, G. Koehler, D. Li, N. Hartmann, N. Folwell, J. Hodgson, B. McCandless Lawrence Berkeley National Laboratory Stanford Linear Accelerator Center Berkeley, CA, USA Stanford, CA, USA Abstract: This report describes the results of numerical simulations of the PEP-II RF cavity performed after the completion of the construction phase of the project and comparisons are made to previous calculations and measured results. These analyses were performed to evaluate new calculation techniques for the HOM distribution and RF surface heating that were not available at the time of the original design. These include the use of a high frequency electromagnetic element in ANSYS and the new Omega 3P code to study wall

396

Linear Collider Collaboration Tech Notes  

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

4, 10/03/00 4, 10/03/00 Luminosity for NLC Design Variations March 10, 1999 K.A. Thompson and T.O. Raubenheimer Stanford Linear Accelerator Center Stanford, CA, USA Abstract: In this note we give Guineapig simulation results for the luminosity and luminosity spectrum of three baseline NLC designs at 0.5~TeV and 1.0~TeV and compare the simulation results with analytic approximations. We examine the effects of varying several design parameters away from the NLC-B-500 and NLC-B-1000 designs, in order to study possible trade-offs of parameters that could ease tolerances, increase luminosity, or help to optimize machine operation for specific physics processes. Luminosity for NLC Design Variations K.A. Thompson and T.O.Raubenheimer INTRODUCTION In this note we give Guineapig [l] simulation results for the luminosity and

397

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

398

Linear Collider Collaboration Tech Notes  

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

Notes Notes LCC - 0038 29/04/00 CBP Tech Note - 234 Transverse Field Profile of the NLC Damping Rings Electromagnet Wiggler 29 April 2000 17 J. Corlett and S. Marks Lawrence Berkeley National Laboratory M. C. Ross Stanford Linear Accelerator Center Stanford, CA Abstract: The primary effort for damping ring wiggler studies has been to develop a credible radiation hard electromagnet wiggler conceptual design that meets NLC main electron and positron damping ring physics requirements [1]. Based upon an early assessment of requirements, a hybrid magnet similar to existing designs satisfies basic requirements. However, radiation damage is potentially a serious problem for the Nd-Fe-B permanent magnet material, and cost remains an issue for samarium cobalt magnets. Superconducting magnet designs have not been

399

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

400

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.

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

Collaborative regression  

Science Journals Connector (OSTI)

......that some data is not accessible until after the fact; autopsy results may be very helpful in identifying different types of brain tumors, but it is hard to use that information to help current patients. CoRe seems like it provides a natural way in which......

Samuel M. Gross; Robert Tibshirani

2014-11-01T23:59:59.000Z

402

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

403

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

404

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

405

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

406

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.

407

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

408

Improved explanation of human intelligence using cortical features with second order moments and regression  

Science Journals Connector (OSTI)

Background: Cortical features derived from magnetic resonance imaging (MRI) provide important information to account for human intelligence. Cortical thickness, surface area, sulcal depth, and mean curvature were considered to explain human intelligence. ... Keywords: Cortical features, Cortical thickness, Curvature, Human intelligence, Partial least squares regression, Second order moments, Sulcal depth, Surface area

Hyunjin Park, Jin-Ju Yang, Jongbum Seo, Yu-Yong Choi, Kun-Ho Lee, Jong-Min Lee

2014-04-01T23:59:59.000Z

409

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

410

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

411

Information content of the non-linear matter power spectrum  

E-Print Network (OSTI)

We use an ensemble of N-body simulations of the currently favoured (concordance) cosmological model to measure the amount of information contained in the non-linear matter power spectrum about the amplitude of the initial power spectrum. Two surprising results emerge from this study: (i) that there is very little independent information in the power spectrum in the translinear regime (k ~ 0.2-0.8 Mpc/h at the present day) over and above the information at linear scales and (ii) that the cumulative information begins to rise sharply again with increasing wavenumber in the non-linear regime. In the fully non-linear regime, the simulations are consistent with no loss of information during translinear and non-linear evolution. If this is indeed the case then the results suggest a picture in which translinear collapse is very rapid, and is followed by a bounce prior to virialization, impelling a wholesale revision of the HKLM-PD formalism.

C. D. Rimes; A. J. S. Hamilton

2005-02-03T23:59:59.000Z

412

Development of integral bladed rotor using linear optimisation technique  

Science Journals Connector (OSTI)

Bladed disks are the most flexible elements in high speed rotating machinery. Stress analysis of these elements present some challenges. These challenges stem from high stress gradients due to contact faces, the non-linearities attending conforming contact with friction. Thermal gradients are also encountered across the disc bore and rim due to uneven temperature distribution. The rim of the disc is made heavier to resist the centrifugal pull of the blade, thus making the assembly heavier. Investigations have been carried out to develop and improve 'blisks' which are integrated version of blades and disc, offering significant weight saving. The present paper describes the possible development process of upgrading a general purpose conventional bladed disc of a single stage compressor into blisk, using linear programme, a finite element analysis tool for linear optimisation, as a dedicated 'design-tool' keeping the same operating conditions and the allowable design limits through numerical models. Design methodology, burst-failure criteria of blisk and bladed disc are discussed in full length. This tool developed exploits the quick convergence ability of a linear system for handling large iterations and overcomes the limitation imposed by material non-linearity, over-speed and burst margin for all decision points based on stress, strain and displacement, in the design-flow process.

K. Kumar; S.L. Ajit Prasad; K. Ramachandra

2012-01-01T23:59:59.000Z

413

Linear and nonlinear analysis of airflow recordings to help in sleep apnoeahypopnoea syndrome diagnosis  

Science Journals Connector (OSTI)

This paper focuses on the analysis of single-channel airflow (AF) signal to help in sleep apnoeahypopnoea syndrome (SAHS) diagnosis. The respiratory rate variability (RRV) series is derived from AF by measuring time between consecutive breathings. A set of statistical, spectral and nonlinear features are extracted from both signals. Then, the forward stepwise logistic regression (FSLR) procedure is used in order to perform feature selection and classification. Three logistic regression (LR) models are obtained by applying FSLR to features from AF, RRV and both signals simultaneously. The diagnostic performance of single features and LR models is assessed and compared in terms of sensitivity, specificity, accuracy and area under the receiver-operating characteristics curve (AROC). The highest accuracy (82.43%) and AROC (0.903) are reached by the LR model derived from the combination of AF and RRV features. This result suggests that AF and RRV provide useful information to detect SAHS.

G C Gutirrez-Tobal; R Hornero; D lvarez; J V Marcos; F del Campo

2012-01-01T23:59:59.000Z

414

Monte-Carlo Simulations of Linear Polarization in Clumpy OB-Star Winds  

E-Print Network (OSTI)

Monte-Carlo Simulations of Linear Polarization in Clumpy OB-Star Winds Rich Townsend & Nick Mast Department of Astronomy, University of Wisconsin-Madison Observations of linear polarization in OB-star winds can in principle be used to constrain the characteristics of wind clumping. However, models exploring

Townsend, Richard

415

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

416

Non-Linear Luminescent Coupling in Series-Connected Multijunction Solar Cells  

SciTech Connect

The assumption of superposition or linearity of photocurrent with solar flux is widespread for calculations and measurements of solar cells. The well-known effect of luminescent coupling in multijunction solar cells has also been assumed to be linear with excess current. Here we show significant non-linearities in luminescent coupling in III-V multijunction solar cells and propose a simple model based on competition between radiative and nonradiative processes in the luminescent junction to explain these non-linearities. We demonstrate a technique for accurately measuring the junction photocurrents under a specified reference spectrum, that accounts for and quantifies luminescent coupling effects.

Steiner, M. A.; Geisz, J. F.

2012-06-18T23:59:59.000Z

417

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 SecretariatIWLC2010 is hostedby CERN

None

2011-10-06T23:59:59.000Z

418

Linear degeneracy in the semiclassical atom  

Science Journals Connector (OSTI)

If the angular and radial quantum numbers of states with the same binding energy satisfy a linear relation, as is the situation in the Coulomb potential, the spectrum is said to be linearly degenerate. We present a detailed study of the consequences of such linear degeneracy in atomic potentials. One of the results is a new, and more general, derivation of Scotts correction to the Thomas-Fermi energy.

Berthold-Georg Englert and Julian Schwinger

1985-07-01T23:59:59.000Z

419

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

420

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

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

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

422

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

Huge market forecast for linear LDPE ... It now appears that the success of the new technology, which rests largely on energy and equipment cost savings, could be overwhelming. ...

1980-08-25T23:59:59.000Z

423

LED Replacements for Linear Fluorescent Lamps Webcast  

Energy.gov (U.S. Department of Energy (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...

424

Local Linear Learned Image Processing Pipeline  

Science Journals Connector (OSTI)

The local linear learned (L3) algorithm is presented that simultaneously performs the demosaicking, denoising, and color transform calculations of an image processing pipeline for a...

Lansel, Steven; Wandell, Brian

425

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

426

The Linear Engine Pathway of Transformation  

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

This poster highlights the major milestones in the history of the linear engine in terms of technological advances, novel designs, and economic/social impact.

427

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

428

Linear Fresnel Collector Receiver: Heat Loss and Temperatures  

Science Journals Connector (OSTI)

Abstract For design and component specification of a Linear Fresnel Collector (LFC) cavity receiver, the prediction of temperature distribution and heat loss is of great importance. In this paper we present a sensitivity analysis for a range of geometry and material parameters. For the LFC receiver analysis we use two models developed at Fraunhofer ISE. One is a detailed model, combining the spatial distribution of reflected radiation via ray tracing with detailed convective simulations through computational fluid dynamics. The second one is a fast algorithm based on a thermal resistance model. It is applying a similar methodology as the well-known model for vacuum absorber, enhancing an absorber tube model by parameters describing the influence of the secondary mirror and cover glass. The thermal resistance model is described in detail. Obtained results indicate a significant effect of the secondary mirror temperature on heat loss for specific geometries.

A. Heimsath; F. Cuevas; A. Hofer; P. Nitz; W.J. Platzer

2014-01-01T23:59:59.000Z

429

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

430

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

431

Dynamic feedback linearization applied to asymptotic tracking: generalization about the turbocharged diesel engine outputs choice  

Science Journals Connector (OSTI)

In this paper we apply dynamic feedback linearization to the tracking problem for a turbocharged diesel engine (TDE) equipped with exhaust gas recirculation (EGR) valve and variable geometry turbocharger (VGT). The model used here is the third-order ...

Marcelin Dabo; Nicolas Langlois; Houcine Chafouk

2009-06-01T23:59:59.000Z

432

Linear Hopfield Based Optimization for Combined Economic Emission Load Dispatch Problem  

Science Journals Connector (OSTI)

In this paper a linear Hopfield model is used to solve the problem of combined economic emission dispatch (CEED). The objective function of CEED problem comprises of power mismatch, total fuel...

J. P. Sharma; H. R. Kamath

2014-01-01T23:59:59.000Z

433

A study of a two-stroke free piston linear engine using numerical analysis  

Science Journals Connector (OSTI)

We studied a two-stroke free piston linear engine by numerical models and simulation. The numerical ... ratio, reciprocating mass, spark timing, and spring stiffness on the operating characteristics as well as pe...

Nguyen Ba Hung; Ock Taeck Lim

2014-04-01T23:59:59.000Z

434

Dynamic characteristics of a jacket type offshore structure considering non-linear behavior of pile foundations  

SciTech Connect

Dynamic characteristics of a typical six legged jacket type platform in Persian Gulf have been studied. An equivalent linearized pile stub has been used to model the pile-soil system. The properties of pile stub have been calculated for different levels of the pile-head deformations resulting from the action of different waves. Natural frequencies and mode shapes of resulting linear models have been determined and compared to each other.

Aaghaakouchak, A.A.; Asgarian, B. [Tarbiat Modarress Univ., Tehran (Iran, Islamic Republic of). Dept. of Civil Engineering

1996-12-31T23:59:59.000Z

435

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

436

A thermoacoustic traveling wave linear amplifier  

Science Journals Connector (OSTI)

This paper describes an experiment to show linear amplification of traveling sound waves in a duct using a thermoacoustic regenerator. As noted by Ceperley [J. Acoust. Soc. Am. 66 15081513 (1979)] a Stirling engine?type regenerator should act as an acoustic gain medium for traveling waves in a duct. This principle is used in thermoacoustic traveling wave engines to transfer power from heat reservoirs to acoustic energy. However it is difficult to produce finite gain for pure traveling wave impedance since viscous losses in the channels of the regenerator overcome the gain and previous workers have only been able to show reduced loss in such a system. Optimizing the regenerator design with numerical modeling and using a greater temperature difference suggest that a traveling wave thermal amplifier can produce 2 dB of real gain over two octaves for traveling waves in air. Such a device would amplify a broadband acoustic signal without electrical transducers. Design of the amplifier and experimental results will be shown.

Robert A. Hiller

2000-01-01T23:59:59.000Z

437

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

438

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

439

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

440

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

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

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.

442

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.

443

Non-linear wave equations Hans Ringstrom  

E-Print Network (OSTI)

105 3. Power type non-linearities 108 4. Global existence for small data 109 5. Observations the Maxwell vacuum equations for an electric and magnetic potential also yields wave equations. In order differential equations (PDE:s) is quite big. The linear theory is based on the fact that by adding two

Ringström, Hans

444

Non-linear wave equations Hans Ringstrom  

E-Print Network (OSTI)

105 3. Power type non-linearities 108 4. Global existence for small data 109 5. Observations boundary conditions. Formulating the Maxwell vacuum equations for an electric and magnetic potential also di#11;erential equations (PDE:s) is quite big. The linear theory is based on the fact that by adding

Ringström, Hans

445

E-Print Network 3.0 - area prediction models Sample Search Results  

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

for the area-specific model, and recalibrate confidence interval... predictive logis- tic regression ... Source: Montana, University of - Cooperative Wildlife Research Unit...

446

E-Print Network 3.0 - aspen computer models Sample Search Results  

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

seedling presence performed well (overall accuracy 73... the accuracy of the logis- tic regression model describing aspen seedling pres- ence (described below... present (1)...

447

E-Print Network 3.0 - aspen model development Sample Search Results  

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

develop into aspen stands in areas previously domi- nated... the accuracy of the logis- tic regression model describing ... Source: Turner, Monica G. - Department of Zoology,...

448

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

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

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

449

Logistic Gifi: A Logistic Distance Association Model for Exploratory Analysis of Categorical Data  

E-Print Network (OSTI)

likelihood esti- mates in logistic regression models.de Leeuw. Gifi goes logistic. SCASA Keynote, UCLA Department2005. [16] J de Leeuw. Logistic unfolding. UCLA Department

Evans, Gary William

2014-01-01T23:59:59.000Z

450

Independent Oversight Inspection, Stanford Linear Accelerator Center -  

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

Stanford Linear Accelerator Stanford Linear Accelerator Center - January 2007 Independent Oversight Inspection, Stanford Linear Accelerator Center - January 2007 January 2007 Inspection of Environment, Safety, and Health Programs at the Stanford Linear Accelerator Center The U.S. Department of Energy (DOE) Office of Independent Oversight, within the Office of Health, Safety and Security, conducted an inspection of environment, safety, and health (ES&H) programs at the DOE Stanford Linear Accelerator Center (SLAC) during October and November 2006. The inspection was performed by Independent Oversight's Office of Environment, Safety and Health Evaluations. Since the 2004 Type A electrical accident, SSO and SLAC have made improvements in many aspects of ES&H programs. However, the deficiencies in

451

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

452

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

453

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

454

Brief paper: Risk-sensitive filtering for jump Markov linear systems  

Science Journals Connector (OSTI)

In this paper, a risk-sensitive multiple-model filtering algorithm is derived using the reference probability methods. First, the approximation of the interacting multiple-model (IMM) algorithm is identified in the reference probability domain. Then, ... Keywords: IMM, Jump Markov linear system, Multiple-model estimation, Risk-sensitive estimation

Umut Orguner; Mbeccel Demirekler

2008-01-01T23:59:59.000Z

455

Linear and non-linear mechanistic modeling and simulation of the formation of carbon adsorbents.  

E-Print Network (OSTI)

??Carbon adsorbents, namely, activated carbons and carbon molecular sieves, can be variously applied in the purification and separation of gaseous and liquid mixtures, e.g., in (more)

Argoti Caicedo, Alvaro Andres

2007-01-01T23:59:59.000Z

456

Quantum Phase Transitions in a Linear Ion Trap  

E-Print Network (OSTI)

We show that the quantum phase transition of the Tavis-Cummings model can be realised in a linear ion trap of the kind proposed for quantum computation. The Tavis-Cummings model describes the interaction between a bosonic degree of freedom and a collective spin. In an ion trap, the collective spin system is a symmetrised state of the internal electronic states of N ions, while the bosonic system is the vibrational degree of freedom of the centre of mass mode for the ions.

G. J. Milburn; Paul Alsing

2000-03-01T23:59:59.000Z

457

A novel linear switched reluctance motor for railway transportation systems  

Science Journals Connector (OSTI)

This paper presents the design and realization of a new linear switched reluctance motor (LSRM) structure, especially suitable for high-speed railway systems. The new model has a double active stator configuration and provides high force for many applications with low cost. The characteristics of the LSRM are obtained by using finite element analysis (FEA) and analytical calculations. The results of the FEA and analytical calculations are presented, and compared with experimental results. In addition, a classical double-sided LSRM (DSLSRM) is modeled with the same specifications of the new motor structure and the results are compared.

Ferhat Daldaban; Nurettin Ustkoyuncu

2010-01-01T23:59:59.000Z

458

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

459

Linear Collider Collaboration Tech Notes LCC-0104  

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

4 4 October 2002 Beamstrahlung Photon Load on the TESLA Extraction Septum Blade Andrei Seryi Stanford Linear Accelerator Center Stanford, CA 94309, USA Abstract: This note describes work performed in the framework of the International Linear Collider Technical Review Committee [1] to estimate the power load on the TESLA extraction septum blade due to beamstrahlung photons. It is shown, that under realistic conditions the photon load can be several orders of magnitude higher than what was estimated in the TESLA TDR [2] for the ideal Gaussian beams, potentially representing a serious limitation of the current design. Beamstrahlung Photon Load on the TESLA Extraction Septum Blade ANDREI SERYI STANFORD LINEAR

460

LED Linear Lamps and Troffer Lighting  

Energy.gov (U.S. Department of Energy (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).

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

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

462

Linear chain tensioning of moored production vessels  

SciTech Connect

Part 1 of this two-part series discussed the worldwide floating production vessel (FPV) market and evolution of the linear puller concept. The three principal types of chain jack systems - hollow ram, single and twin cylinders - were introduced. And advantages of this relatively new form of passive mooring were outlined. This concluding article covers applications of linear chain pullers on various vessels, including use on an example 35,000-t North Sea semi-submersible. Chain wear and how linear pullers avoid wear associated with windlass-type systems are discussed, along with the optimization possible through use of a swiveling chain fair-lead latch (SCFL).

Peters, B. (Bardex Corp., London (United Kingdom))

1993-06-01T23:59:59.000Z

463

Linear Concentrator Systems | Open Energy Information  

Open Energy Info (EERE)

Linear Concentrator Systems Linear Concentrator Systems Jump to: navigation, search Introduction Linear concentrating collector fields consist of a large number of collectors in parallel rows that are typically aligned in a north-south orientation to maximize both annual and summertime energy collection. With a single-axis sun-tracking system, this configuration enables the mirrors to track the sun from east to west during the day, ensuring that the sun reflects continuously onto the receiver tubes. Parabolic Trough Systems The predominant CSP systems currently in operation in the United States are linear concentrators using parabolic trough collectors. In such a system, the receiver tube is positioned along the focal line of each parabola-shaped reflector. The tube is fixed to the mirror structure and

464

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

465

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

466

Kinematic moment invariants for linear Hamiltonian systems  

Science Journals Connector (OSTI)

Quadratic moments of a particle distribution being transported through a linear Hamiltonian system are considered. A complete set of kinematic invariants made out of these moments are constructed leading to the discovery of new invariants.

Filippo Neri and Govindan Rangarajan

1990-03-05T23:59:59.000Z

467

Linearity of Climate Response to Increases in Black Carbon Aerosols  

SciTech Connect

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

468

Development of whole-building energy performance models as benchmarks for retrofit projects  

Science Journals Connector (OSTI)

This paper presents a systematic development process of whole-building energy models as performance benchmarks for retrofit projects. Statistical regression-based models and computational performance models are being used for retrofit projects in industry ...

Omer Tugrul Karaguzel; Khee Poh Lam

2011-12-01T23:59:59.000Z

469

Removal of River-Stage Fluctuations from Well Response Using Multiple-Regression  

SciTech Connect

Many contaminated unconfined aquifers are located in proximity to river systems. In groundwater studies, the physical presence of a river is commonly represented as a transient-head boundary that imposes hydrologic responses within the intersected unconfined aquifer. The periodic fluctuation of river-stage height at the boundary produces associated responses within the adjacent aquifer system, the magnitude of which is a function of the existing well, aquifer, boundary conditions, and river-stage fluctuation characteristics. The presence of well responses induced by the river stage can significantly limit characterization and monitoring of remedial activities within the stress-impacted area. This paper demonstrates the use of a time-domain, multiple-regression, convolution (superposition) method to develop well/aquifer river response function (RRF) relationships. Following RRF development, a multiple-regression deconvolution correction approach can be applied to remove river-stage effects from well water-level responses. Corrected well responses can then be analyzed to improve local aquifer characterization activities in support of optimizing remedial actions, assessing the area-of-influence of remediation activities, and determining mean groundwater flow and contaminant flux to the river system.

Spane, Frank A.; Mackley, Rob D.

2011-11-01T23:59:59.000Z

470

Identification of weak non-linearities in cables of cable-stayed footbridges  

Science Journals Connector (OSTI)

A time-frequency identification technique for the non-linear identification of a cable element was proposed in this paper. A polynomial form of non-parametric method was used. A long cable of a newly constructed cable-stayed footbridge was modelled in the ANSYS structural software. The model was reduced to a SDoF system, by applying a harmonic force in the first modal frequency and the first mode shape. A good match between the identified and numerical data was obtained. Some interesting non-linear phenomena were observed: only a cubic type of non-linearity was identified. Moreover, the values of the damping and cubic parameters stabilised at higher load amplitudes. However, parameter relevant to linear-frequency was increasing with the loading amplitude showing a typical hardening behaviour of cable structures. Superharmonics were present in the response at higher loading amplitudes. Therefore, the identification procedure was found to be effective at higher load amplitudes.

Anil Kumar; Luca Zanotti Fragonara

2013-01-01T23:59:59.000Z

471

How car material life-cycle emissions are considered in environmental rating methodologies? Suggestion of expedite models and discussion  

Science Journals Connector (OSTI)

Abstract This paper reviews existing vehicle environmental rating methodologies worldwide and focuses on how these methodologies deal with alternative vehicle technologies (plug-in vehicles, hybrid vehicles, and fuel cell vehicles) and emissions of greenhouse gases (CO2, N2O, and CH4) and pollutants (NOx, VOC, CO, SOx, PM10 and PM2.5) derived from embodied materials life cycle. United States, Mexico, Europe and Australia have public access data and websites with top 10 rankings. The ways the scores are calculated for each vehicle have differences in what regards the considered boundaries for the emissions analysis. In Europe, there is still not a unique rating methodology or ranking system, e.g., Belgium, Germany and United Kingdom have their specific scoring schemes. Multilinear regression models were developed as an attempt to estimate the vehicle embodied emissions as a function of vehicle lifecycle mileage, electricity mix, vehicle mass, battery mass and fuel cell power to cope with different production regions and different alternative vehicle technologies. The regression models were validated against Volkswagen life cycle assessments (LCAs), and compared against American Council for an Energy Efficient Economy (ACEEE) Green Book linear functions for material assessment and UK 12 material dataset for materials assessment. The developed models proved to be useful in applications related to rating methodologies using life-cycle concepts, with good reliability for comparisons considering the complexity of processes involved in vehicle materials life-cycle assessment.

Gonalo N. Correia; Teresa P. Batista; Sara S. Marques; Carla M. Silva

2014-01-01T23:59:59.000Z

472

Modeling  

NLE Websites -- All DOE Office Websites (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...

473

Modeling  

NLE Websites -- All DOE Office Websites (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...

474

Non-linear Seismic Soil Structure Interaction Method for Developing...  

Office of Environmental Management (EM)

Contact - Sliding and Separation Non-linear springs * Material ElasticPlastic * Non-linear soil behavior * Non-linear behavior between soil and structure (i.e. the...

475

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.

476

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

477

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

478

Model experiments on refraction arrivals from a linear transition layer  

Science Journals Connector (OSTI)

...separate different arrivals from a complicated structure. The input square-wave pulse shown in fig. 5 has a duration of 7 usec and a height of 1200 volts~ The detected wave form is distorted consid- erably from the input pulse, primarily because of...

Yosio Nakamura

479

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

480

Testing independence and goodness-of-fit in linear models  

Science Journals Connector (OSTI)

......by Harrison & Rubinfeld (1978) to study the effect of air pollution on real estate prices in the greater Boston area. The...1978). Hedonic housing prices and the demand for clean air. J. Envir. Econ. Manag. 5, 81102. KENNEDY, P......

A. Sen; B. Sen

2014-12-01T23:59:59.000Z

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.
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to obtain the most current and comprehensive results.


481

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

482

Modelling human balance using switched systems with linear feedback control  

Science Journals Connector (OSTI)

...Road, Manchester M13 9PL, UK 4 School of Computer Science, The University of Manchester...Physical Sciences Research Council grant EP/E050441/1 (CICADA: Centre...and homoclinic bifurcations. | School of Computing, Mathematics and...

2012-01-01T23:59:59.000Z

483

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

484

RESEARCH PAPER Hybrid linear microactuators and their control models  

E-Print Network (OSTI)

Kirill Shcheglov & Xiaoning Jiang & Risaku Toda & Zensheu Chang & Eui-Hyeok Yang Received: 16 January

Yang, Eui-Hyeok

485

Gas Network Optimization: A comparison of Piecewise Linear Models  

E-Print Network (OSTI)

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

2014-06-22T23:59:59.000Z

486

Locally training the log-linear model for SMT  

Science Journals Connector (OSTI)

In statistical machine translation, minimum error rate training (MERT) is a standard method for tuning a single weight with regard to a given development data. However, due to the diversity and uneven distribution of source sentences, there are two problems ...

Lemao Liu; Hailong Cao; Taro Watanabe; Tiejun Zhao; Mo Yu; CongHui Zhu

2012-07-01T23:59:59.000Z

487

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

488

Linear Collider Collaboration Tech Notes LCC-0100  

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

100 100 August 2002 Systematic Ground Motion and Macroalignment for Linear Colliders Rainer Pitthan Stanford Linear Accelerator Center Stanford University Stanford, CA 94309, USA Abstract: Future colliders with their µm-range operational tolerances still need to be classically aligned to the 50 - 100 µm range, and kept there, over the km range. This requirement will not be a show-stopper, but not be trivial either. 50 µm movements over a betatron wavelength is a the range where systematic long term motions can prevent efficient operation. Systematic Ground Motion and Macro-Alignment for Linear Colliders Complete talk at: http://www-project.slac.stanford.edu/lc/wkshp/snowmass2001/t6/info/pitthan july

489

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

490

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

491

Solving Linear Systems of Differential Equations By MATLAB  

E-Print Network (OSTI)

Solving Linear Systems of Differential Equations By MATLAB. Consider X'=AX where A is nxn. Suppose there are n linearly independent eigenvectors for A,.

492

Safe bounds in linear and mixed-integer programming  

E-Print Network (OSTI)

Abstract: Current mixed-integer linear programming solvers are based on linear programming routines that use floating point arithmetic. Occasionally, this leads...

Arnold Neumaier

493

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

494

Modeling  

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

ALE-AMR ALE-AMR code Wangyi Liu, John Bernard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder June 4, 2011 Abstract In this paper we describe 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 state of the two phases. The only change to the existing fluid equations is an additional term in the stress tensor. We show results of applying the model to an expanding Al droplet surrounded by an Al vapor, where additional droplets are created. 1 Introduction The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The

495

The role of linear and voltage-dependent ionic currents in the generation of slow wave oscillations  

E-Print Network (OSTI)

inward current is not necessary for generating oscillations. Instead, a current INL that is linear. The current INL can be considered a linear approximation to the negative-conductance region of the current­voltage relation- ship of a regenerative inward current. Using a simple conductance-based model, we show that INL

Bose, Amitabha

496

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

497

Boundary observers for linear and quasi-linear hyperbolic systems with application to flow control  

Science Journals Connector (OSTI)

In this paper we consider the problem of boundary observer design for one-dimensional first order linear and quasi-linear strict hyperbolic systems with n rightward convecting transport PDEs. By means of Lyapunov based techniques, we derive some sufficient ... Keywords: Boundary observers, Hyperbolic systems, Infinite dimensional observer

Felipe Castillo; Emmanuel Witrant; Christophe Prieur; Luc Dugard

2013-11-01T23:59:59.000Z

498

ORISE-09-OEWH-0176 POISSON REGRESSION ANALYSIS OF ILLNESS AND INJURY SURVEILLANCE DATA  

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

ORISE-09-OEWH-0176 ORISE-09-OEWH-0176 POISSON REGRESSION ANALYSIS OF ILLNESS AND INJURY SURVEILLANCE DATA E. L. Frome J. P. Watkins E. D. Ellis Center for Epidemiologic Research Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA C. H. Strader U. S. Department of Energy Date Published: December 2012 Prepared by Oak Ridge Institute for Science and Education P.O. Box 117 Oak Ridge, TN 37831-0117 managed by Oak Ridge Associated Universities for the U.S. DEPARTMENT OF ENERGY under contract DE-AC05-06OR23100 DOCUMENT AVAILABILITY Approved for public release; further dissemination unlimited. Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge: Web site: http://www.osti.gov/bridge

499

A Bin Method for Calculating Energy Conservation Retrofit Savings in Commercial Buildings  

E-Print Network (OSTI)

retrofits to HVAC systems in the LoanSTAR program have been proposed, including linear and change-point linear empirical models and calibrated simulation models. Simple least squares linear regression is easiest to use and understand, but is incapable...

Thamilseran, S.; Haberl, J. S.

1994-01-01T23:59:59.000Z

500

Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction  

SciTech Connect

Purpose: To determine clinical factors for predicting the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. Methods and Materials: The study group consisted of 109 patients with esophageal cancer of T1-4 and Stage I-III who were treated with definitive radiotherapy and achieved a complete response of their primary lesion at Kyushu University Hospital between January 1998 and December 2007. Esophageal stenosis was evaluated using esophagographic images within 3 months after completion of radiotherapy. We investigated the correlation between esophageal stenosis after radiotherapy and each of the clinical factors with regard to tumors and therapy. For validation of the correlative factors for esophageal stenosis, an artificial neural network was used to predict the esophageal stenotic ratio. Results: Esophageal stenosis tended to be more severe and more frequent in T3-4 cases than in T1-2 cases. Esophageal stenosis in cases with full circumference involvement tended to be more severe and more frequent than that in cases without full circumference involvement. Increases in wall thickness tended to be associated with increases in esophageal stenosis severity and frequency. In the multivariate analysis, T stage, extent of involved circumference, and wall thickness of the tumor region were significantly correlated to esophageal stenosis (p = 0.031, p < 0.0001, and p = 0.0011, respectively). The esophageal stenotic ratio predicted by the artificial neural network, which learned these three factors, was significantly correlated to the actual observed stenotic ratio, with a correlation coefficient of 0.864 (p < 0.001). Conclusion: Our study suggested that T stage, extent of involved circumference, and esophageal wall thickness of the tumor region were useful to predict the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer.

Atsumi, Kazushige [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Shioyama, Yoshiyuki, E-mail: shioyama@radiol.med.kyushu-u.ac.jp [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Arimura, Hidetaka [Department of Health Sciences, Kyushu University, Fukuoka (Japan); Terashima, Kotaro [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Matsuki, Takaomi [Department of Health Sciences, Kyushu University, Fukuoka (Japan); Ohga, Saiji; Yoshitake, Tadamasa; Nonoshita, Takeshi; Tsurumaru, Daisuke; Ohnishi, Kayoko; Asai, Kaori; Matsumoto, Keiji [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Nakamura, Katsumasa [Department of Radiology, Kyushu University Hospital at Beppu, Oita (Japan); Honda, Hiroshi [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan)

2012-04-01T23:59:59.000Z