Increased Efficiency with Model Based Calibration | Department...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Calibration Increased Efficiency with Model Based Calibration Meeting future TIER 4 emission limits requires the integration of many new technology elements. deer09diewald.pdf...
Cost Model and Cost Estimating Software
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01
This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...
Hoen, Ben
2013-01-01
National Laboratory’s Photovoltaic System Valuation Model –of the Effects of Photovoltaic Energy Systems on Residentialimpacts of photovoltaic (PV) energy systems on home sales
Hoen, Ben
2013-01-01
No. DE-AC02-05CH11231. Do PV Systems Increase Residentialimpacts of photovoltaic (PV) energy systems on home salesthat existing homes with PV systems sold for a premium over
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING
Ewing, Richard E.
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used parameters in petroleum and groundwater models. It is not intended to be exhaustive, but rather to give
Statistical Surrogate Models for Estimating Probability of High...
Office of Scientific and Technical Information (OSTI)
Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating...
2007-01-01
Atmospheric Environment 41 (2007) 18031818 Estimating the effects of increased urbanization School of Architecture, Planning & Preservation, Columbia University, NY, USA f Department of Geography this region from ``present-day'' (ca. 1990) conditions to a future year (ca. 2050), and these projections were
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01
Chair of Advisory Committee: Dr. Shiping Li This thesis is a document of studying empirical statistics of the parameter estimates in parametric modeling. After reviewing some common estimation methods, some simulation results on the empirical..., a new estimation method is proposed to improve the accuracy of the estimates for ARMA models. In chapter four, a new estimation method is proposed for exponential models. This method first utilizes singular value decomposition of the signal...
Estimating Wireless Network Properties with Spatial Statistics and Models
Paris-Sud XI, Université de
Estimating Wireless Network Properties with Spatial Statistics and Models Janne Riihij statistics and models for different estimation problems related to wireless networks. We focus specifically wireless networks. We provide a concise survey of existing techniques from the spatial statistics
Asymptotics for the maximum likelihood estimators of diffusion models
Jeong, Minsoo
2009-05-15
In this paper I derive the asymptotics of the exact, Euler, and Milstein ML estimators for diffusion models, including general nonstationary diffusions. Though there have been many estimators for the diffusion model, their asymptotic properties were...
New DOE Modeling Tool Estimates Economic Benefits of Offshore...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis To help...
New DOE Modeling Tool Estimates Economic Benefits of Offshore...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis...
None
2013-07-22
The Interdisciplinary Consortium for Research and Educational Access in Science and Engineering (INCREASE), assists minority-serving institutions in gaining access to world-class research facilities.
Multi-rate Estimation of Coloured Noise Models in Graph-Based Estimation Algorithms
Nelson, James
Multi-rate Estimation of Coloured Noise Models in Graph-Based Estimation Algorithms Simon J. Julier. In this paper, we consider how coloured noise models can be efficiently incorporated within graph position, three velocity, three orientation). The GPS noise model introduces an extra six states (second
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLAN FOR THE SITE-218in a V2O5 BatteryIncreased confinement
Glass Property Models and Constraints for Estimating the Glass...
Office of Scientific and Technical Information (OSTI)
increases in waste loading in HLW and LAW glasses are possible over current system planning estimates. The data (although limited in some cases) were evaluated to determine a...
Estimators in step regression models Ursula U. Muller
Wefelmeyer, Wolfgang
Estimators in step regression models Ursula U. M¨uller Texas A&M University Anton Schick Binghamton function but smooth; see Schick and Wefelmeyer (2012) and (2013). Here the regression function has jumps. Then the corresponding convolution estimator can have the rate n-1/2 of an empirical estimator; see again Schick
A model for pricing data bundles based on minimax risks for estimation of a location parameter
Robertson, Edward L.
A model for pricing data bundles based on minimax risks for estimation of a location parameter of progress on the fundamental conceptual issues of the mathematical modeling of data, increasingly attention to this line of work; in particular, we propose and analyze a model for the pricing of data when the value
Pilot Models for Estimating Bicycle Intersection Volumes
Griswold, Julia B.; Medury, Aditya; Schneider, Robert J.
2011-01-01
and Table 4. Alternative Bicycle Model Specifications Model= 2-hr Intersection Bicycle Count Constant NComPropT BikeSymof Portland, OR. Portland Bicycle Counts 2008. Available
Control relevant modeling and nonlinear state estimation applied to
Foss, Bjarne A.
Control relevant modeling and nonlinear state estimation applied to SOFC-GT power systems #12;ii #12;iii Rambabu Kandepu Control relevant modeling and nonlin- ear state estimation applied to SOFC- GT of the most promising fuel cell technologies is the Solid Oxide Fuel Cell (SOFC), due to its solid state
Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem
White, Luther
Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem Exchange Data Luther in the context of a deterministic com- partmental carbon sequestration system. Sensitivity and approximation usefulness in the estimation of parameters within a compartmental carbon sequestration model. Previously we
Scarrott, Carl
in Magnox nuclear reactors l Establish safe operating limits l Issues: Subset of measurements ControlSpatial Spectral Estimation forSpatial Spectral Estimation for Reactor Modeling and ControlReactor Modeling and Control Carl Scarrott Granville Tunnicliffe-Wilson Lancaster University, UK c
Nonparametric estimation of econometric models with categorical variables
Ouyang, Desheng
2006-10-30
shows that regression model with only discrete vari- ables differs significantly from the mixed discrete and continuous variables case. In the mixed variable case with at least one relevant continuous regressor, the irrele- vant variables can be smoothed... CV-based estimator has a high probability of smoothing out the irrele- vant variable, hence it leads to a more efficient (in finite samples) estimation result than the frequency estimator. It is interesting to observe that our nonparametric CV...
Battery Calendar Life Estimator Manual Modeling and Simulation
Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia
2012-10-01
The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.
Stochastic Wireless Channel Modeling, Estimation and Identification from Measurements
Olama, Mohammed M [ORNL; Djouadi, Seddik M [ORNL; Li, Yanyan [ORNL
2008-07-01
This paper is concerned with stochastic modeling of wireless fading channels, parameter estimation, and system identification from measurement data. Wireless channels are represented by stochastic state-space form, whose parameters and state variables are estimated using the expectation maximization algorithm and Kalman filtering, respectively. The latter are carried out solely from received signal measurements. These algorithms estimate the channel inphase and quadrature components and identify the channel parameters recursively. The proposed algorithm is tested using measurement data, and the results are presented.
Ridge Regression Estimation Approach to Measurement Error Model
Shalabh
Ridge Regression Estimation Approach to Measurement Error Model A.K.Md. Ehsanes Saleh Carleton of the regression parameters is ill conditioned. We consider the Hoerl and Kennard type (1970) ridge regression (RR) modifications of the five quasi- empirical Bayes estimators of the regression parameters of a measurement error
ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL
furnace emissions to 2050. Despite insufficient variation in energy prices over the historical periodESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy
Estimating Emissions in Latin America: An Alternative to Traffic Models
Richner, Heinz
Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Ossés de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed
Piecewise Convex Function Estimation: Representations, Duality and Model Selection
functionals correspond to variable halfwidth data-adaptive kernels, i.e. the e#11;ective halfwidth decreasesPiecewise Convex Function Estimation: Representations, Duality and Model Selection Kurt S. Riedel
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01
This paper considers fixed effects estimation and inference in linear and nonlinear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of ...
Root Modeling: Estimating Storage, Live, and Dead Pool
Post, Wilfred M.
Root Modeling: Estimating Storage, Live, and Dead Pool Turnover Times; Storage Inputs to New Root to choose best-fit parameters · "Storage" simulations with in-growth cores · Live and dead pool simulations Atmosphere East Atmosphere; 1 SD East tree rings f(Average respiration and soil gas) Modeled GSD = 1.3 Range
Estimated increases in the cost of electricity under three acid-rain control bills
Hillsman, E.L. (Oak Ridge National Lab., TN (United States)); Alvic, D.R. (Tennessee Univ., Knoxville, TN (United States))
1991-01-01
Several bills were introduced in the past two Congresses to reduce emissions of sulfur dioxide and nitrogen oxides from electric power plants. The effects of these bills on electricity costs depend on features of the bills, on the mix of generating capacity owned by different electric utilities, on the technologies available for complying with the legislation, and on the time horizon used to calculate the costs. A system of computer software has been developed to make utility-specific estimates of the effects of different legislation on electricity costs. This paper presents sample results from a larger analysis of six pieces of legislation. These results suggest that the emissions trading systems proposed in some legislation, and adopted in the Clean Air Act Amendments of 1991, may have less effect than expected on the cost of complying with the legislation. 5 refs., 2 figs., 2 tabs.
Model Year 2012 Fuel Economy Guide: EPA Fuel Economy Estimates
2011-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.
Model Year 2011 Fuel Economy Guide: EPA Fuel Economy Estimates
2010-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.
Model Year 2013 Fuel Economy Guide: EPA Fuel Economy Estimates
2012-12-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.
Estimating Failure Propagation in Models of Cascading Blackouts
Dobson, Ian [University of Wisconsin, Madison; Carreras, Benjamin A [ORNL; Lynch, Vickie E [ORNL; Nkei, Bertrand [ORNL; Newman, David E [University of Alaska
2005-09-01
We compare and test statistical estimates of failure propagation in data from versions of a probabilistic model of loading-dependent cascading failure and a power systems blackout model of cascading transmission line overloads. The comparisons suggest mechanisms affecting failure propagation and are an initial step towards monitoring failure propagation from practical system data. Approximations to the probabilistic model describe the forms of probability distributions of cascade sizes.
Locatelli, R.
A modelling experiment has been conceived to assess the impact of transport model errors on methane emissions estimated in an atmospheric inversion system. Synthetic methane observations, obtained from 10 different model ...
Comparison of model estimates of the effects of aviation emissions on atmospheric ozone and methane
Jacobson, Mark
of the world econ- omy and demand for aviation and its emissions are expected to increase in the future from aviation (mainly carbon dioxide (CO2), water vapor (H2O), nitrogen oxides (NOx = NO + NO2), VOCsComparison of model estimates of the effects of aviation emissions on atmospheric ozone and methane
PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN
Sweetman, Bert
1 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN Lance Manuel1 Paul S-4020 ABSTRACT International standards for wind turbine certification depend on finding long-term fatigue load loads. #12;2 INTRODUCTION Design constraints for wind turbine structures fall into either extreme load
AIAA-2001-0047 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE
Sweetman, Bert
AIAA-2001-0047 1 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN Lance 94305-4020 ABSTRACT International standards for wind turbine certification depend on finding long. INTRODUCTION Design constraints for wind turbine structures fall into either extreme load or fatigue categories
The Lithium-Ion Cell: Model, State Of Charge Estimation
Schenato, Luca
The Lithium-Ion Cell: Model, State Of Charge Estimation and Battery Management System Tutor and Y. Fuentes. Computer simulations of a lithium-ion polymer battery and implications for higher. Di Domenico, A. Stefanopoulou, and G. Fiengo., Reduced Order Lithium-ion Battery Electrochemical
IMPROVING EFFICIENT MARGINAL ESTIMATORS IN BIVARIATE MODELS WITH PARAMETRIC MARGINALS
Schick, Anton
AND ANTON SCHICK Abstract. Suppose we have data from a bivariate model with parametric marginals. Efficient nonparametric estimators in the presence of a constraint, see e.g. Schick and Wefelmeyer (2008) for a recent = The research of Hanxiang Peng was supported in parts by NSF Grant DMS 0940365. The research of Anton Schick
AIAA-2001-0047 PARAMETRIC MODELS FOR ESTIMATING WIND
AIAA-2001-0047 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN Lance Manuel Laboratories Wind Energy Technology Department Albuquerque, NM 87185-0708 Steven R. Winterstein Department standards for wind turbine certification depend on finding long-term fatigue load distributions
SPATIOTEMPORAL MODELS IN THE ESTIMATION OF AREA PRECIPITATION
Lisbon, University of
SPATIOTEMPORAL MODELS IN THE ESTIMATION OF AREA PRECIPITATION Eduardo Severino and Teresa Alpuim University of Lisbon, Portugal SUMMARY Since area precipitation measurements are difficult to obtain because of the large spatial and time variability of the precipitation field, the development of statistical methods
Emulating maize yields from global gridded crop models using statistical estimates
Blanc, E.
This study estimates statistical models emulating maize yield responses to changes in temperature and
Model Reduction and Parameter Estimation in Groundwater Modeling
Siade, Adam
2012-01-01
Uncon?ned Groundwater Model Reduction via Proper Orthogonalvi List of Figures One-dimensional groundwater ?owQuadratic Programming 3.1 Con?ned aquifer groundwater ?ow
Model Year 2006 Fuel Economy Guide: EPA Fuel Economy Estimates
2005-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2005 Fuel Economy Guide: EPA Fuel Economy Estimates
2004-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2010 Fuel Economy Guide: EPA Fuel Economy Estimates
2009-10-14
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2007 Fuel Economy Guide: EPA Fuel Economy Estimates
2007-10-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2015 Fuel Economy Guide: EPA Fuel Economy Estimates
2014-12-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2009 Fuel Economy Guide: EPA Fuel Economy Estimates
2008-10-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2008 Fuel Economy Guide: EPA Fuel Economy Estimates
2007-10-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2016 Fuel Economy Guide: EPA Fuel Economy Estimates
2015-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2014 Fuel Economy Guide: EPA Fuel Economy Estimates
2013-12-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Zettlemoyer, M.D.
1990-01-01
The Air Force Toxic Chemical Dispersion (AFTOX) model is a Gaussian puff dispersion model that predicts plumes, concentrations, and hazard distances of toxic chemical spills. A measurement uncertainty propagation formula derived by Freeman et al. (1986) is used within AFTOX to estimate resulting concentration uncertainties due to the effects of data input uncertainties in wind speed, spill height, emission rate, and the horizontal and vertical Gaussian dispersion parameters, and the results are compared to true uncertainties as estimated by standard deviations computed by Monte Carlo simulations. The measurement uncertainty uncertainty propagation formula was found to overestimate measurement uncertainty in AFTOX-calculated concentrations by at least 350 percent, with overestimates worsening with increasing stability and/or increasing measurement uncertainty.
Chen, Jinsong; Dickens, Thomas
2007-04-09
This study investigates the effects of uncertainty inrockphysics models on estimates of reservoir parameters from jointinversion of seismic AVA and CSEMdata. The reservoir parameters arerelated to electrical resistivity using Archie's law, and to seismicvelocity and density using the Xu-White model. To account for errors inthe rock-physics models, we use two methods to handle uncertainty: (1)the model outputs are random functions with modes or means given by themodel predictions, and (2) the parameters of the models are themselvesrandom variables. Using a stochastic framework and Markov Chain MonteCarlo methods, we obtain estimates of reservoir parameters as well as ofthe uncertainty in the estimates. Synthetic case studies show thatuncertainties in both rock-physics models and their associated parameterscan have significant effects on estimates of reservoir parameters. Ourmethod provides a means of quantifying how the uncertainty in theestimated reservoir parameters increases with increasing uncertainty inthe rock-physics model and in the model parameters. We find that in theexample we present, the estimation of water saturation is relatively lessaffected than is the estimation of clay content and porosity.
Araujo, Marcelo Guimaraes; Magrini, Alessandra; Mahler, Claudio Fernando; Bilitewski, Bernd
2012-02-15
Highlights: Black-Right-Pointing-Pointer Literature of WEEE generation in developing countries is reviewed. Black-Right-Pointing-Pointer We analyse existing estimates of WEEE generation for Brazil. Black-Right-Pointing-Pointer We present a model for WEEE generation estimate. Black-Right-Pointing-Pointer WEEE generation of 3.77 kg/capita year for 2008 is estimated. Black-Right-Pointing-Pointer Use of constant lifetime should be avoided for non-mature market products. - Abstract: Sales of electrical and electronic equipment are increasing dramatically in developing countries. Usually, there are no reliable data about quantities of the waste generated. A new law for solid waste management was enacted in Brazil in 2010, and the infrastructure to treat this waste must be planned, considering the volumes of the different types of electrical and electronic equipment generated. This paper reviews the literature regarding estimation of waste electrical and electronic equipment (WEEE), focusing on developing countries, particularly in Latin America. It briefly describes the current WEEE system in Brazil and presents an updated estimate of generation of WEEE. Considering the limited available data in Brazil, a model for WEEE generation estimation is proposed in which different methods are used for mature and non-mature market products. The results showed that the most important variable is the equipment lifetime, which requires a thorough understanding of consumer behavior to estimate. Since Brazil is a rapidly expanding market, the 'boom' in waste generation is still to come. In the near future, better data will provide more reliable estimation of waste generation and a clearer interpretation of the lifetime variable throughout the years.
ASYMPTOTIC AND INCREASING PROPAGATION OF CHAOS EXPANSIONS FOR GENEALOGICAL PARTICLE MODELS
Del Moral , Pierre
ASYMPTOTIC AND INCREASING PROPAGATION OF CHAOS EXPANSIONS FOR GENEALOGICAL PARTICLE MODELS PIERRE with genealogical tree models. Applications to nonlinear filtering problems and interacting Markov chain Monte Carlo algorithms are discussed. Key words. Interacting particle systems, historical and genealogical tree models
Similarity-based semi-local estimation of EMOS models
Lerch, Sebastian
2015-01-01
Weather forecasts are typically given in the form of forecast ensembles obtained from multiple runs of numerical weather prediction models with varying initial conditions and physics parameterizations. Such ensemble predictions tend to be biased and underdispersive and thus require statistical postprocessing. In the ensemble model output statistics (EMOS) approach, a probabilistic forecast is given by a single parametric distribution with parameters depending on the ensemble members. This article proposes two semi-local methods for estimating the EMOS coefficients where the training data for a specific observation station are augmented with corresponding forecast cases from stations with similar characteristics. Similarities between stations are determined using either distance functions or clustering based on various features of the climatology, forecast errors, ensemble predictions and locations of the observation stations. In a case study on wind speed over Europe with forecasts from the Grand Limited Area...
Estimation of landfill emission lifespan using process oriented modeling
Ustohalova, Veronika . E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim; Widmann, Renatus
2006-07-01
Depending on the particular pollutants emitted, landfills may require service activities lasting from hundreds to thousands of years. Flexible tools allowing long-term predictions of emissions are of key importance to determine the nature and expected duration of maintenance and post-closure activities. A highly capable option represents predictions based on models and verified by experiments that are fast, flexible and allow for the comparison of various possible operation scenarios in order to find the most appropriate one. The intention of the presented work was to develop a experimentally verified multi-dimensional predictive model capable of quantifying and estimating processes taking place in landfill sites where coupled process description allows precise time and space resolution. This constitutive 2-dimensional model is based on the macromechanical theory of porous media (TPM) for a saturated thermo-elastic porous body. The model was used to simulate simultaneously occurring processes: organic phase transition, gas emissions, heat transport, and settlement behavior on a long time scale for municipal solid waste deposited in a landfill. The relationships between the properties (composition, pore structure) of a landfill and the conversion and multi-phase transport phenomena inside it were experimentally determined. In this paper, we present both the theoretical background of the model and the results of the simulations at one single point as well as in a vertical landfill cross section.
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
model using GRACE water storage and estimated base flow data,model using GRACE water storage and estimated base flow datawith esti- mated base flow data in the model calibration.
Multi-rate Modeling, Model Inference, and Estimation for Statistical Classifiers
Washington at Seattle, University of
Multi-rate Modeling, Model Inference, and Estimation for Statistical Classifiers ¨Ozg¨ur C University of Washington 2004 Program Authorized to Offer Degree: Electrical Engineering #12;#12;University: Mari Ostendorf Reading Committee: Mari Ostendorf Jeffrey A. Bilmes Maya R. Gupta Date: #12;#12;In
Nonparametric estimation of varying coefficient dynamic panel models
Cai, Zongwu; Li, Qi
2008-10-01
#2; m2 because the number of parameters in ~6! is m2+ However, when m1 #7; m2, the model is overidentified, and there may not exist a unique a to satisfy ~6!+ To obtain a unique a satisfy- ing ~6!, we premultiply ~6! by an m2 #3; m1 matrix Sn' , where... with Qit #1; Q~Vit ! and n #1; NT, Sn #1; 1 n #6; i#1;1 N #6; t#1;1 T QitUit' Kh~Zit #5; z!+ Then solving for a we obtain [a #1; ~Sn' Sn !#5;1Sn' Tn , (7) where Tn #1; 1 n #6; i#1;1 N #6; t#1;1 T Qit Kh~Zit #5; z!Yit + The estimator [a defined in ~7...
Maximum Likelihood Estimation for the Proportional Odds Model with Random Effects
Zeng, Donglin
Maximum Likelihood Estimation for the Proportional Odds Model with Random Effects DONGLIN ZENG, D. Y. LIN, and GUOSHENG YIN In this article, we study the semiparametric proportional odds model; Frailty model; Linear transformation model; Proportional hazards; Semiparametric efficiency; Survival data
A Comparative Study of Estimation Models for Satellite Relative Motion
Desai, Uri
2013-01-31
The problem of relative spacecraft motion estimation is considered with application to various reference and relative orbits. Mean circular and elliptic orbits are analyzed, with relative orbits ranging in size from 1 km to 10 km. Estimators...
Mass Flow Estimation with Model Bias Correction for a Turbocharged Diesel Engine
Johansen, Tor Arne
Mass Flow Estimation with Model Bias Correction for a Turbocharged Diesel Engine Tomás Polóni. Based on an augmented observable Mean Value En- gine Model (MVEM) of a turbocharged Diesel engine in the intake duct. Keywords: Diesel engine, Mass flow estimation, Bias estimation, Kalman filtering, Mean value
Wunsch, Carl
A depth-derived Pleistocene age model: Uncertainty estimates, sedimentation variability. To avoid biasing this ``depth-derived'' age estimate, the depth scale is first corrected for the effects sediment accumulation rates are estimated and modeled as an autocorrelated stochastic process. Depth-derived
Weston, Ken
Atomistic Modeling of Macromolecular Crowding Predicts Modest Increases in Protein Folding that macromolecular crowding can increase protein folding stability, but depending on details of the models (e.g., how on the effects of macro- molecular crowding on protein folding and binding stability has been reached. Crowders
A conceptual model to estimate the nitrogen requirement of corn (Zea mays L.)
Lopez Collado, Catalino Jorge
2007-04-25
The objectives of this work were to evaluate the vegetative parameters used to estimate crop N demand and to estimate the accuracy and precision of the conceptual model of fertilization using an error propagation method. ...
Sun, Jian
[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...
Modeling, Estimation, and Control of Waste Heat Recovery Systems
Luong, David
2013-01-01
State Estimation for Open Organic Rankine Cycle (ORC)138optimization of an organic Rankine cycle waste heat powerand Simulation of an Organic Rankine Cycle (ORC) System for
Model Test Setup and Program for Experimental Estimation of Surface Loads of the SSG Kvitsy
Model Test Setup and Program for Experimental Estimation of Surface Loads of the SSG Kvitsøy Pilot Engineering No. 32 ISSN: 1603-9874 Model Test Setup and Program for Experimental Estimation of Surface Loads University October, 2005 #12;#12;Preface This report presents the preparations done prior to model tests
SENSITIVITY OF SINGLE DIODE MODELS FOR PHOTOVOLTAIC MODULES TO METHOD USED FOR PARAMETER ESTIMATION
PV modules representative of a variety of technologies. Keywords: Modeling, Parameter estimation to represent the electrical performance of a photovoltaic (PV) module. A single diode model is formulated) but no standard method has been adopted by the broad community. Without a standard method for estimating model
Estimation of system reliability using a semiparametric model
Wu, Leon
An important problem in reliability engineering is to predict the failure rate, that is, the frequency with which an engineered system or component fails. This paper presents a new method of estimating failure rate using ...
sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model, J. Geophys System model Roman Olson,1 Ryan Sriver,1 Marlos Goes,2,3 Nathan M. Urban,4,5 H. Damon Matthews,6 MuraliA climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth
Hierarchical models for estimating state and demographic trends in U.S. death penalty public opinion
Gelman, Andrew
Hierarchical models for estimating state and demographic trends in U.S. death penalty public?" Because the death penalty is governed by state laws rather than federal laws, it is of special interest logistic regression model to estimate support for the death penalty as a function of the year, the state
Assessment of model estimates of land-atmosphere CO2 exchange across Northern Eurasia
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Rawlins, M. A.; McGuire, A. D.; Kimball, J. S.; Dass, P.; Lawrence, D.; Burke, E.; Chen, X.; Delire, C.; Koven, C.; MacDougall, A.; et al
2015-07-28
A warming climate is altering land-atmosphere exchanges of carbon, with a potential for increased vegetation productivity as well as the mobilization of permafrost soil carbon stores. Here we investigate land-atmosphere carbon dioxide (CO2) cycling through analysis of net ecosystem productivity (NEP) and its component fluxes of gross primary productivity (GPP) and ecosystem respiration (ER) and soil carbon residence time, simulated by a set of land surface models (LSMs) over a region spanning the drainage basin of Northern Eurasia. The retrospective simulations cover the period 1960–2009 at 0.5° resolution, which is a scale common among many global carbon and climate modelmore »simulations. Model performance benchmarks were drawn from comparisons against both observed CO2 fluxes derived from site-based eddy covariance measurements as well as regional-scale GPP estimates based on satellite remote-sensing data. The site-based comparisons depict a tendency for overestimates in GPP and ER for several of the models, particularly at the two sites to the south. For several models the spatial pattern in GPP explains less than half the variance in the MODIS MOD17 GPP product. Across the models NEP increases by as little as 0.01 to as much as 0.79 g C m?² yr?², equivalent to 3 to 340 % of the respective model means, over the analysis period. For the multimodel average the increase is 135 % of the mean from the first to last 10 years of record (1960–1969 vs. 2000–2009), with a weakening CO2 sink over the latter decades. Vegetation net primary productivity increased by 8 to 30 % from the first to last 10 years, contributing to soil carbon storage gains. The range in regional mean NEP among the group is twice the multimodel mean, indicative of the uncertainty in CO2 sink strength. The models simulate that inputs to the soil carbon pool exceeded losses, resulting in a net soil carbon gain amid a decrease in residence time. Our analysis points to improvements in model elements controlling vegetation productivity and soil respiration as being needed for reducing uncertainty in land-atmosphere CO2 exchange. These advances will require collection of new field data on vegetation and soil dynamics, the development of benchmarking data sets from measurements and remote-sensing observations, and investments in future model development and intercomparison studies.« less
Estimating Student Proficiency Using an Item Response Theory Model
Massachusetts at Amherst, University of
into two broad categories: expert-centric or data-centric [14]. The expert-centric approach, which includes. Examples of data-centric student models are structure-learned dynamic Bayesian networks [14], models learned using the Q-Matrix method [6], and Item Response Theory [16, 17] models. Data-centric models
Logit Models for Estimating Urban Area Through Travel
Talbot, Eric
2011-10-21
because the variable of interest is a proportion, rather than a continuous number. To improve on these previous models, the research described in this document developed a system of two models. Each model was developed using logistic regression... to develop through trip tables. For predictor variables, the models use results from a very simple gravity model; the average daily traffic (ADT) at each external station as a proportion of the total ADT at all available external stations; the number...
Wavelet Based Density Estimators for Modeling Multidimensional Data Sets
Shahabi, Cyrus
the distribution of this random variable. We exhibit an estimator for the wavelet coeÃ?cients of this density and ionospheric data. After three levels of o#11;-line pre-processing, observations of temperature, water vapor agreement nr. F30602-99-1-0524, and unrestricted cash/equipment gifts from NCR, IBM, Intel and SUN. #12; 1
Bilinear estimation of pollution source profiles in receptor models
Washington at Seattle, University of
the pollution sources based on air pollution data. This article is concerned with estimation of the source and assess the contribution of each source based on this data. There have been two traditional approaches. Los Angeles, CA 90089-2531 + Address for correspondence: NRCSE, University of Washington, Box 351720
Automatic Parameter Estimation in a Mesoscale Model Without Ensembles
Duane, Gregory S.
. Hacker National Center for Atmospheric Research, Boulder, CO gduane,hacker@ucar.edu In numerical as extra state variables, and applying standard data assimilation methods that use ensembles to rep- resent, it is argued that the approach to parameter estimation can be extended to a more general scheme for machine
Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities
to Estimate U.S. Energy Elasticities Examining Committee: Chair: Jacob Fox Master of Resource Management energy efficiency index (AEEI) parameters. The ability of economies to reduce greenhouse gas emissions to calculate price- independent changes in energy-efficiency in the form of the AEEI, by comparing energy
Modeling, Estimation, and Control of Waste Heat Recovery Systems
Luong, David
2013-01-01
presented along with a centrifugal pump model. General ModelCentrifugal pumps are comprised of hydraulic and mechanicalK is the pump constant, and ? is the pump speed. Centrifugal
Plan-view Trajectory Estimation with Dense Stereo Background Models
Darrell, T.
2001-02-01
In a known environment, objects may be tracked in multiple views using a set of back-ground models. Stereo-based models can be illumination-invariant, but often have undefined values which inevitably lead to foreground ...
Model estimates food-versus-biofuel trade-off
Rajagapol, Deepak; Sexton, Steven; Hochman, Gal; Roland-Holst, David; Zilberman, David D
2009-01-01
D. 2007. Challenge of biofuel: Filling the tank withoutaddition to policies such as biofuel subsidies and mandates.Whereas biofuel subsidies and man- dates increase the
Parameter Estimation Techniques for a Class of Nonlinear Hysteresis Models
materials employed in a wide range of actuators and sensors. These models are formulated as integral of the hysteresis loop. Hence optimal tendon design to attenuate wind or earthquake-induced vibrations in civil energy models [8,10,1820,24,25], Preisach formulations [2,3,5,7,16,26], and domain wall models [6
Richardson, John G. (Idaho Falls, ID)
2009-11-17
An impedance estimation method includes measuring three or more impedances of an object having a periphery using three or more probes coupled to the periphery. The three or more impedance measurements are made at a first frequency. Three or more additional impedance measurements of the object are made using the three or more probes. The three or more additional impedance measurements are made at a second frequency different from the first frequency. An impedance of the object at a point within the periphery is estimated based on the impedance measurements and the additional impedance measurements.
Three Essays on Estimation and Testing of Nonparametric Models
Ma, Guangyi
2012-10-19
| , then the local quadratic estimator for (m0 (x) ;m1 (x) ;m2 (x)) | can be written as b (x) = b 0 (x) ; b 1 (x) ; b 2 (x) | ; 8 where for j = 0; 1; 2, b j (x) = 1 hj 1 n Xn i=1 Wji (x)Yi 1 n Xn i=1 W0i (x) ; and the corresponding weights...) Xi x h s21 s0s2 Xi x h 2 # Ki; where sj = 1 nh Xn i=1 Xi x h j Ki for j = 0; 1; 2; 3; 4: 2.2.2 EL for the Local Quadratic Estimating Equations In this subsection we construct the empirical likelihood formulation...
Estimating home energy decision parameters for a hybrid energyYeconomy policy model
, household energy demand, hybrid energy model, bottom-up energy model 1. Introduction: energy a variety of energyYeconomy models are available to forecast the effectiveness of energy and envi- ronmentEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard
Chen, Jinsong
) presented a method for quantitative estimation of reservoir parameters (porosity, water saturationEstimating reservoir parameters from seismic and electromagnetic data using stochastic rock Berkeley National Laboratory Summary A Bayesian model is developed to estimate porosity, fluid saturation
Modeling, Estimation, and Control of Waste Heat Recovery Systems
Luong, David
2013-01-01
Steam Turbine . . . . . .and A. Ghaffari. “Steam Turbine Model. ” Simulation= m ? v (h in ? h out ) Steam Turbine As with the pump, the
Model estimates food-versus-biofuel trade-off
Rajagapol, Deepak; Sexton, Steven; Hochman, Gal; Roland-Holst, David; Zilberman, David D
2009-01-01
associ- ated with biofuel production and model the effectspolicymakers blame biofuel production mandates for the foodfood crisis struck as biofuel production, driven largely by
Modelling estimation on the impacts of global warming on rice production in China
Wang Futang
1997-12-31
In this paper, based on the validation and sensitivity analyses of two rice growth models (ORYZA1 and DRISIC--Double Rice Cropping Simulation Model for China), and their joining with global warming scenarios projected by GCMs (GFDL, UKMO-H, MPI and DKRZ OPYC, DKRZ LSG, respectively), the modelling experiments were carried out on the potential impacts of global warming on rice production in China. The results show that although there are the some features for each rice cropping patterns because of different models and estimated methods, the rice production for all cropping patterns in China will trend to decrease with different degrees. In average, early, middle and later rice production, as well as, double-early and double-later rice production in different areas of China will decrease 3.7%, 10.5% and 10.4%, as well as, 15.9% and 14.4%, respectively. It do illustrates that the advantage effects induced by elevated CO{sub 2} concentration on photosynthesis does not compensate the adverse effects of temperature increase. Thus, it is necessary to adjusting rice cropping patterns, cultivars and farming techniques to the global warming timely.
A categorical model for traffic incident likelihood estimation
Kuchangi, Shamanth
2007-04-25
In this thesis an incident prediction model is formulated and calibrated. The primary idea of the model developed is to correlate the expected number of crashes on any section of a freeway to a set of traffic stream characteristics, so that a...
Innovative Methodology Efficient Estimation of Detailed Single-Neuron Models
Columbia University
) and propose a simple statistical method for automatically building large, detailed compartmental models of single neurons, circumvent- ing some of the traditional complexities in building these models "by hand, the knowledge that passive properties of neurons are accurately described by the cable equation (Baldi et al
Variance bounds for estimators in autoregressive models with constraints
Wefelmeyer, Wolfgang
&M University Anton Schick Binghamton University Wolfgang Wefelmeyer Universit¨at zu K¨oln Abstract We consider), Koul and Schick (1997) and Schick (2001). For regression models Yi = r(Xi) + i, corresponding results are in Schick (1993). We follow their approach in our model (1.3) with restrictions on T. We consider
Numerically Estimating Internal Models of Dynamic Virtual Objects
Sekuler, Robert
human subjects to manipulate a computer-animated virtual object. This virtual object (vO) was a high, human cognition, human information processing, ideal performer, internal model, virtual object, virtual, specifically how humans acquire an internal model of a dynamic virtual object. Our methodology minimizes
General model selection estimation of a periodic regression with a Gaussian noise
Konev, Victor; 10.1007/s10463-008-0193-1
2010-01-01
This paper considers the problem of estimating a periodic function in a continuous time regression model with an additive stationary gaussian noise having unknown correlation function. A general model selection procedure on the basis of arbitrary projective estimates, which does not need the knowledge of the noise correlation function, is proposed. A non-asymptotic upper bound for quadratic risk (oracle inequality) has been derived under mild conditions on the noise. For the Ornstein-Uhlenbeck noise the risk upper bound is shown to be uniform in the nuisance parameter. In the case of gaussian white noise the constructed procedure has some advantages as compared with the procedure based on the least squares estimates (LSE). The asymptotic minimaxity of the estimates has been proved. The proposed model selection scheme is extended also to the estimation problem based on the discrete data applicably to the situation when high frequency sampling can not be provided.
Genealogies and Increasing Propagation of Chaos for FeynmanKac and Genetic Models
Del Moral , Pierre
Genealogies and Increasing Propagation of Chaos for FeynmanÂKac and Genetic Models P. Del Moral L for the genealogical structure of genetic algorithms is presented. We connect the historical process Interacting particle systems, genetic algorithms, historical process, genealogy, relative entropy, propagation
Logistic Regression and Bayesian Model Selection in Estimation of Probability of Success
Shemyakin, Arkady
1 1 Logistic Regression and Bayesian Model Selection in Estimation of Probability of Success Arkady ABSTRACT Logistic regression and linear discriminant analysis are used to estimate probability of success X is analyzed as an explanatory variable. A comparison is made between logistic regression technique
A Performance Model to Estimate Execution Time of Scientific Workflows on the Cloud
Sakellariou, Rizos
. In the evaluation, three real-world scientific workflows are used to compare the estimated makespan calculatedA Performance Model to Estimate Execution Time of Scientific Workflows on the Cloud Ilia Pietri.K Information Sciences Institute, University of Southern California, USA Abstract--Scientific workflows, which
Flood control of rivers with nonlinear model predictive control and moving horizon estimation
]. Several studies can be found in literature where MPC is used to control water systems [15], [16] and [5Flood control of rivers with nonlinear model predictive control and moving horizon estimation control (MPC) in combination with moving horizon estimation (MHE) can more effectively be used for flood
Chen, Jinsong
reservoir model. We consid- er the porosity and fluid saturation of each layer in the reservoir, the bulk- trical resistivity of reservoir materials is highly sensitive to water saturation. However, estimating saturation estimation using marine seismic AVA and CSEM data Jinsong Chen1 , G. Michael Hoversten1 , Donald
A NEW APPROACH FOR ESTIMATING ENTRAINMENT RATE IN CUMULUS AND PARAMETERIZATION IN MODELS
A NEW APPROACH FOR ESTIMATING ENTRAINMENT RATE IN CUMULUS AND PARAMETERIZATION IN MODELS Chunsong Entrainment of dry air into clouds is essential to many cloud processes, affecting cloud microphysical for estimating fractional entrainment rate in cumulus clouds from aircraft observations. This approach is based
Precise Propagations of Chaos Estimates for FeynmanKac and Genealogical Particle Models
Del Moral , Pierre
Precise Propagations of Chaos Estimates for FeynmanÂKac and Genealogical Particle Models P. Del genealogical tree evolution yielding what seems to be the first precise propagations of chaos estimates ). In this situation the NÂpath particle algoÂ rithm # i n = (# #i p,n )0#p#n # E # [0,n] represents the genealogical
Statistical testing and estimation in continuous time interest rate models
Kim, Myung Suk
2006-10-30
The shape of drift function in continuous time interest rate models has been investigated by many authors during the past decade. The main concerns have been whether the drift function is linear or nonlinear, but no convincing conclusions have been...
Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation
Xu, X.; Wang, S.
2006-01-01
Building level energy models are important to provide accurate prediction of energy consumption for building performance diagnosis and energy efficiency assessment of retrofitting alternatives for building performance upgrading. Simplified...
Abstract--Using a bioenergetics model, we estimated daily ration and
332 Abstract--Using a bioenergetics model, we estimated daily ration and seasonal prey consumption sandbar sharks (Carcharhinus plumbeus) in Chesapeake Bay, Virginia, using a bioenergetics model* W. Wesley used in error analyses of the sandbar shark (Carcharhinus plumbeus) bioenergetics model. See text
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models and characterize capacity fade in lithium-ion batteries. As a comple- ment to approaches to mathematically model been made in developing lithium-ion battery models that incor- porate transport phenomena
Linear and NonLinear Estimation Methods Applied to the Hemodynamic model
Schaal, Stefan
Linear and NonLinear Estimation Methods Applied to the Hemodynamic model Evangelos A. Theodorou s that controls the blood inflow. The total balloon model can be defined by the 4 differential equations the hemodynamic process of the balloon model. These equations consist of a set of deterministic highly non
Impact of aerothermal modeling on the estimation of turbine blade life
Collin, Jean E., 1978-
2004-01-01
The impact of aerothermal modeling on estimates of turbine blade heat transfer and life was assessed for three high pressure turbine blades. The work was conducted as part of a project aimed at the evaluation of the effect ...
Griffith, Daniel Todd
2005-02-17
The main objective of this work is to demonstrate some new computational methods for estimation, optimization and modeling of dynamical systems that use automatic differentiation. Particular focus will be upon dynamical ...
Weijo, R. O.; and Brown, D. R.
1988-01-01
This study estimated the market penetration for residential cool storage technology using economic cost modeling. Residential cool storage units produce and store chill during off-peak periods of the day to be used during times of peak electric...
Tabares Velasco, P. C.
2011-04-01
This presentation discusses estimating heat and mass transfer processes in green roof systems: current modeling capabilities and limitations. Green roofs are 'specialized roofing systems that support vegetation growth on rooftops.'
Faquih, Yaquta Fakhruddin
2010-10-12
Facility managers use various cost models and techniques to estimate the cost of renovating a building and to secure the required funds needed for building renovation. A literature search indicates that these techniques offer both advantages...
A Model for Estimating Demand for Irrigation Water on the Texas High Plains
Condra, G. D.; Lacewell, R. D.; Sprott, J. M.; Adams, B. M.
1975-01-01
and soybeans. Inputs that can be evaluated include irrigation water, natural gas, diesel, nitrogen fertilizer and herbicides. The primary focus of this work was to estimate the demand for irrigation water in the study area. The model was applied using...
Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
Bi, Pierre (Pierre Yanhe)
2015-01-01
Battery management systems using parameter and state estimators based on electrochemical models for Lithium ion cells, are promising efficient use and safety of the battery. In this thesis, two findings related to ...
Stochastic Analog Circuit Behavior Modeling by Point Estimation Method
He, Lei
-based method such as APEX with the similar accuracy. ACM Classification Keywords: B.7.2: - Integrated Circuits- Design Aids General Terms: Algorithms, Performance Authors Keywords: Behavior Modeling, Point Estima and man- Permission to make digital or hard copies of all or part of this work for personal or classroom
ESTIMATING RETARDATION FROM THE FREUNDLICH ISOTHERM FOR MODELING CONTAMINANT TRANSPORT
Coles, Cynthia
to model leachate migration from landfills is needed to protect the public and the environment. Introduction A concern with landfills, and especially older unlined landfills, is the migration of leachate risk of off-site leachate migration at newer, lined landfills with leachate collection systems
FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL
Vázquez-Abad, Felisa J.
@iro.umontreal.ca SYNOPTIC ABSTRACT We consider a multicomponent system with identical components subject to failures generative simulation, maintenance models, age replacement policies. #12; L'ECUYER, MARTIN, AND V ' AZQUEZABAD 1. INTRODUCTION We consider a system with M identical components subject to failures. Each time
Evaluation of Clear Sky Models for Satellite-Based Irradiance Estimates
Sengupta, M.; Gotseff, P.
2013-12-01
This report describes an intercomparison of three popular broadband clear sky solar irradiance model results with measured data, as well as satellite-based model clear sky results compared to measured clear sky data. The authors conclude that one of the popular clear sky models (the Bird clear sky model developed by Richard Bird and Roland Hulstrom) could serve as a more accurate replacement for current satellite-model clear sky estimations. Additionally, the analysis of the model results with respect to model input parameters indicates that rather than climatological, annual, or monthly mean input data, higher-time-resolution input parameters improve the general clear sky model performance.
Experimental Validation of Stochastic Wireless Urban Channel Model: Estimation and Prediction
Kuruganti, Phani Teja [ORNL] [ORNL; Ma, Xiao [ORNL] [ORNL; Djouadi, Seddik M [ORNL] [ORNL
2012-01-01
Stochastic differential equations (SDE) can be used to describe the time-varying nature of wireless channels. This paper validates a long-term fading channel model for estimation and prediction from solely using measured received signal strength measurements. Such channel models can be used for optimizing wireless networks deployed for industrial automation, public access, and communication. This paper uses two different sets of received signal measurement data to estimate an predict the signal strength based on past measurements. The realworld performance of the estimation and prediction algorithm is demonstrated.
ARM - PI Product - Climate Modeling Best Estimate (CMBE)
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach HomeA Better Anode DesigngovCampaignsSpring SinglegovFieldgovDataPI Data ProductsClimate Modeling Best
Heald, Colette L.
Quantifying the impact of model errors on topdown estimates of carbon monoxide emissions using use of inverse modeling to better quantify regional surface emissions of carbon monoxide (CO), which to or larger than the combustion source, optimizing the CO from NMVOC emissions on larger spatial scales than
Modeling and Bayesian parameter estimation for shape memory alloy bending actuators
. In this paper we employ a computationally efficient model for a SMA bending actuator. Furthermore, we utilizeModeling and Bayesian parameter estimation for shape memory alloy bending actuators John H. Crewsa Carolina State University, Raleigh, NC, United States ABSTRACT In this paper, we employ a homogenized
Computing Estimates in the Proportional Odds Model David R. Hunter1
Hunter, David
Computing Estimates in the Proportional Odds Model David R. Hunter1 Kenneth Lange2 Department running head: Computing MLE for proportional odds Submitted to Annals of the Institute of Statistical The semiparametric proportional odds model for survival data is useful when mortality rates of different groups
Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models
functions. Policies that change energy prices, such as a tax on GHG emissions, can be simulated for their effect on output, energy demand, and, as a result, emissions. The model responses to these price changesStatistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models
Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll form 17 October 2000; accepted 1 June 2001 Abstract A remotely sensed image of Loch Leven, a shallow in the remotely sensed image. It is proposed that CFD modelling benefits the interpretation of remotely sensed
Chen, X.; Liu, X.; Gales, M. J. F.; Woodland, P. C.
2015-04-22
, recurrent neural network, GPU, noise contrastive estimation, speech recognition 1. INTRODUCTION Statistical language models (LMs) are crucial components in many speech and language processing systems designed for tasks such as speech recognition, spoken... as follows. In section 2, recur- rent neural network LMs are reviewed. Noise contrastive estimation is presented in section 3. The detailed implement of NCE training is presented in section 4. Experiment results on a large vocabulary conversational telephone...
Maximum likelihood parameter estimation in time series models using sequential Monte Carlo
Yildirim, Sinan
2013-06-11
, respectively. This approach is useful to handle the case where the columns of Y are generated sequentially in time, such as in audio signal processing. Usually very large number of columns in Y leads to the necessity of online algorithms to learn the model... .6 (dashed lines). For illustrative purposes, every 1000th estimate is shown . . . . . . . . . . . . . . . . . . . . . . . 130 6.1 Histograms of Monte Carlo estimates of gradients of log p?,?,?? (Y ?,?,?) w.r.t. the parameters of the ?-stable distribution...
Mukhopadhyay, S.; Tsang, Y.; Finsterle, S.
2009-01-15
A simple conceptual model has been recently developed for analyzing pressure and temperature data from flowing fluid temperature logging (FFTL) in unsaturated fractured rock. Using this conceptual model, we developed an analytical solution for FFTL pressure response, and a semianalytical solution for FFTL temperature response. We also proposed a method for estimating fracture permeability from FFTL temperature data. The conceptual model was based on some simplifying assumptions, particularly that a single-phase airflow model was used. In this paper, we develop a more comprehensive numerical model of multiphase flow and heat transfer associated with FFTL. Using this numerical model, we perform a number of forward simulations to determine the parameters that have the strongest influence on the pressure and temperature response from FFTL. We then use the iTOUGH2 optimization code to estimate these most sensitive parameters through inverse modeling and to quantify the uncertainties associated with these estimated parameters. We conclude that FFTL can be utilized to determine permeability, porosity, and thermal conductivity of the fracture rock. Two other parameters, which are not properties of the fractured rock, have strong influence on FFTL response. These are pressure and temperature in the borehole that were at equilibrium with the fractured rock formation at the beginning of FFTL. We illustrate how these parameters can also be estimated from FFTL data.
Estimate of B(K -> pi nu nubar) from Standard Model fits to lambda_t
S. H. Kettell; L. G. Landsberg; H. Nguyen
2003-05-19
We estimate B(K -> pi nu nubar) in the context of the Standard Model by fitting for lambda_t = Vtd x V*ts of the `kaon unitarity triangle' relation. We fit data from epsilon_K, the CP-violating parameter describing K-mixing, and a_{psi K}, the CP-violating asymmetry in B -> J/psi K decays. Our estimate is independent of the CKM matrix element Vcb and of the ratio of Bs to Bd mixing frequencies. The measured value of B(K+ -> pi+ nu nubar) can be compared both to this estimate and to predictions made from the ratio of B mixing frequencies.
Li, Ke
2012-02-14
functions or any function of independent variables within the suggested frameworks. Also shown was that adopting suggested models could greatly increase predictive accuracy through simulations. In the second essay we generalized the suggested models...
Ajo-Franklin, Jonathan
models on estimates of reservoir parameters from joint inversion of seismic AVA and CSEM data. The reser framework and Markov Chain Monte Carlo methods, we obtain estimates of reservoir parameters as well as of the uncertainty in the estimates. Synthetic case studies show that uncertainties in both rock-physics models
Noise modeling concepts in nonlinear state estimation S. Kols a,b,*, B.A. Foss a
Foss, Bjarne A.
Noise modeling concepts in nonlinear state estimation S. Kolås a,b,*, B.A. Foss a , T.S. Schei c Keywords: Nonlinear state estimation Constrained nonlinear systems Noise modeling Joint UKF a b s t r a c study noise modeling based on a hypothesis that it is important to model noise correctly. In practice
Tadi?, Vladislav B
2009-01-01
This paper considers the asymptotic properties of the recursive maximum likelihood estimation in hidden Markov models. The paper is focused on the asymptotic behavior of the log-likelihood function and on the point-convergence and convergence rate of the recursive maximum likelihood estimator. Using the principle of analytical continuation, the analyticity of the asymptotic log-likelihood function is shown for analytically parameterized hidden Markov models. Relying on this fact and some results from differential geometry (Lojasiewicz inequality), the almost sure point-convergence of the recursive maximum likelihood algorithm is demonstrated, and relatively tight bounds on the convergence rate are derived. As opposed to the existing result on the asymptotic behavior of maximum likelihood estimation in hidden Markov models, the results of this paper are obtained without assuming that the log-likelihood function has an isolated maximum at which the Hessian is strictly negative definite.
Estimating present climate in a warming world: a model-based approach
Raeisaenen, J.; Ruokolainen, L. [University of Helsinki (Finland). Division of Atmospheric Sciences and Geophysics
2008-09-30
Weather services base their operational definitions of 'present' climate on past observations, using a 30-year normal period such as 1961-1990 or 1971-2000. In a world with ongoing global warming, however, past data give a biased estimate of the actual present-day climate. Here we propose to correct this bias with a 'delta change' method, in which model-simulated climate changes and observed global mean temperature changes are used to extrapolate past observations forward in time, to make them representative of present or future climate conditions. In a hindcast test for the years 1991-2002, the method works well for temperature, with a clear improvement in verification statistics compared to the case in which the hindcast is formed directly from the observations for 1961-1990. However, no improvement is found for precipitation, for which the signal-to-noise ratio between expected anthropogenic changes and interannual variability is much lower than for temperature. An application of the method to the present (around the year 2007) climate suggests that, as a geographical average over land areas excluding Antarctica, 8-9 months per year and 8-9 years per decade can be expected to be warmer than the median for 1971-2000. Along with the overall warming, a substantial increase in the frequency of warm extremes at the expense of cold extremes of monthly-to-annual temperature is expected.
Gianmarco Munaò; Francisco Gàmez; Dino Costa; Carlo Caccamo; Francesco Sciortino; Achille Giacometti
2015-05-26
We investigate thermodynamic properties of anisotropic colloidal dumbbells in the frameworks provided by the Reference Interaction Site Model (RISM) theory and an Optimized Perturbation Theory (OPT), this latter based on a fourth-order high-temperature perturbative expansion of the free energy, recently generalized to molecular fluids. Our model is constituted by two identical tangent hard spheres surrounded by square-well attractions with same widths and progressively different depths. Gas-liquid coexistence curves are obtained by predicting pressures, free energies, and chemical potentials. In comparison with previous simulation results, RISM and OPT agree in reproducing the progressive reduction of the gas-liquid phase separation as the anisotropy of the interaction potential becomes more pronounced; in particular, the RISM theory provides reasonable predictions for all coexistence curves, bar the strong anisotropy regime, whereas OPT performs generally less well. Both theories predict a linear dependence of the critical temperature on the interaction strength, reproducing in this way the mean-field behavior observed in simulations; the critical density~--~that drastically drops as the anisotropy increases~--~turns to be less accurate. Our results appear as a robust benchmark for further theoretical studies, in support to the simulation approach, of self-assembly in model colloidal systems.
A Neural Network Model for Construction Projects Site Overhead Cost Estimating in Egypt
ElSawy, Ismaail; Razek, Mohammed Abdel
2011-01-01
Estimating of the overhead costs of building construction projects is an important task in the management of these projects. The quality of construction management depends heavily on their accurate cost estimation. Construction costs prediction is a very difficult and sophisticated task especially when using manual calculation methods. This paper uses Artificial Neural Network (ANN) approach to develop a parametric cost-estimating model for site overhead cost in Egypt. Fifty-two actual real-life cases of building projects constructed in Egypt during the seven year period 2002-2009 were used as training materials. The neural network architecture is presented for the estimation of the site overhead costs as a percentage from the total project price.
A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors Nicky Kern, Stavros Antifakos, Bernt Schiele Perceptual Computing and Computer Vision ETH Zurich sensors. It is scalable for a large number of sensors, contexts, and situations and allows for online
Estimating Litter Decomposition Rate in Single-Pool Models Using Nonlinear Beta Regression
Thomas, David D.
Estimating Litter Decomposition Rate in Single-Pool Models Using Nonlinear Beta Regression Etienne the performance of nonlinear regression using the beta distribution, which is well-suited to bounded data and this type of heteroscedasticity, to standard nonlinear regression (normal errors) on simulated and real
Parameter Estimation and Model Discrimination for a Lithium-Ion Cell
-18 This interest has been fueled by the combination of the fast growing lithium-ion battery market and the desireParameter Estimation and Model Discrimination for a Lithium-Ion Cell Shriram Santhanagopalan parameters using nonlinear regression from experimental charge/ discharge curves of a lithium-ion cell
SO2 emissions and lifetimes: Estimates from inverse modeling using in situ and global, spacebased
Dickerson, Russell R.
SO2 emissions and lifetimes: Estimates from inverse modeling using in situ and global, spacebased 18 March 2011. [1] Topdown constraints on global sulfur dioxide (SO2) emissions are inferred through of GEOSChem for inversion of SO2 columns to emissions. The seasonal mean SO2 lifetime calculated with the GEOS
Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Sekhon, Jasjeet S.
Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data Walter R research on labor rela- tions (Card 1990), the relationship between patents and R&D (Hausman, Hall counts in political science includes studies of child care services (Bratton and Ray 2002), gender
Irwin, Mark E.
2005-01-01
conditional on observed (or forecasted) meteorology including temperature, humidity, pressure, and wind speed, defining the spatialtemporal extent of episodes of dangerous air quality, forecasting urban and areaAtmospheric Environment 39 (2005) 13731382 A hierarchical Bayesian model to estimate and forecast
Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep
Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep Sediments at the Idaho National Engineering and Environmental Laboratory, Idaho Scientific Investigations Report 2005 Survey DOE/ID-22196 #12;Cover: Graph showing example of water-retention (q(y)) curve showing components
Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process
Yu, Qian
Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process Abstract: The study investigates water quality pollution impacts on urbanization by analyzing temporal the greatest contributors of surface water quality pollution from 1996 to 2003. High values existed
Parameter Estimation and Life Modeling of Lithium-Ion Cells Shriram Santhanagopalan,*,a
Parameter Estimation and Life Modeling of Lithium-Ion Cells Shriram Santhanagopalan,*,a Qi Zhang Carolina, Columbia, South Carolina 29208, USA Lithium-ion pouch cells were cycled at five different. The lithium-ion cell is among the most popular candidates con- sidered actively as a replacement for nickel
Zhu, Chen
of radioactive waste repositories. A case study of a regional aquifer in northeastern Arizona shows the rechargeEstimate of recharge from radiocarbon dating of groundwater and numerical flow and transport ages using a linked numerical 14 C transport and flow model while hydraulic conductivity values
Edinburgh Research Explorer Comparison of models for estimation of long-term exposure to
Millar, Andrew J.
-term exposure to air pollution in cohort studies' Atmospheric Environment, vol 62, pp. 530-539., 10.1016/j to Air Pollution in Cohort Studies Beverland, I.J.* Department of Civil Engineering, University.L. and Agius, R.M. (2012) Comparison of models for estimation of long-term exposure to air pollution in cohort
Estimation of Distributed Parameters in Permittivity Models of Composite Dielectric Materials Using
such as ceramic matrix composites (CMC's) are currently being studied for their use in a wide rangeEstimation of Distributed Parameters in Permittivity Models of Composite Dielectric Materials Using the feasibility of quantifying properties of a composite dielectric ma- terial through the reflectance, where
ASSESSMENT OF THE MODELS FOR THE ESTIMATION OF THE CO2 RELEASES TOXIC EFFECTS
Boyer, Edmond
the global warming due to high concentration of CO2 in the atmosphere. However, in case of massive accidental to specific properties regarding its triple point. Then, this CO2 flakes creation may be followed1 ASSESSMENT OF THE MODELS FOR THE ESTIMATION OF THE CO2 RELEASES TOXIC EFFECTS Frédéric Antoine
Everingham, Mark
Appearance Models for Human Pose Estimation Sam Johnson s.a.johnson04@leeds.ac.uk Mark Everingham m.everingham@leeds.ac.uk School of Computing University of Leeds Leeds, UK Abstract We investigate the task of 2D articulated parts e.g. labeling the position and orientation of the head, torso, arms and legs in an image
Subramanian, Venkat
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First parameters of lithium-ion batteries are estimated using a first-principles electrochemical engineering model and understanding of lithium-ion batteries using physics-based first-principles models. These models are based
Burrows, Susannah M.; Rayner, Perter; Butler, T.; Lawrence, M.
2013-06-04
Model-simulated transport of atmospheric trace components can be combined with observed concentrations to obtain estimates of ground-based sources using various inversion techniques. These approaches have been applied in the past primarily to obtain source estimates for long-lived trace gases such as CO2. We consider the application of similar techniques to source estimation for atmospheric aerosols, by using as a case study the estimation of bacteria emissions from different ecosystem regions in the global atmospheric chemistry and climate model ECHAM5/MESSy-Atmospheric Chemistry (EMAC). Simulated particle concentrations in the tropopause region and at high latitudes, as well as transport of particles to tundra and land ice regions are shown to be highly sensitive to scavenging in mixed-phase clouds, which is poorly characterized in most global climate models. This may be a critical uncertainty in correctly simulating the transport of aerosol particles to the Arctic. Source estimation via Monte Carlo Markov Chain is applied to a suite of sensitivity simulations and the global mean emissions are estimated. We present an analysis of the partitioning of uncertainties in the global mean emissions that are attributable to particle size, CCN activity, the ice nucleation scavenging ratios for mixed-phase and cold clouds, and measurement error. Uncertainty due to CCN activity or to a 1 um error in particle size is typically between 10% and 40% of the uncertainty due to data uncertainty, as measured by the 5%-ile to 95%-ile range of the Monte Carlo ensemble. Uncertainty attributable to the ice nucleation scavenging ratio in mized-phase clouds is as high as 10% to 20% of the data uncertainty. Taken together, the four model 20 parameters examined contribute about half as much to the uncertainty in the estimated emissions as do the measurements. This was a surprisingly large contribution from model uncertainty in light of the substantial data uncertainty, which ranges from 81% to 870% for each of ten ecosystems for this case study. The effects of these and other model parameters in contributing to the uncertainties in the transport of atmospheric aerosol particles should be treated explicitly and systematically in both forward and inverse modelling studies.
Development of a mass balance model for estimating PCB export from the lower Fox River to Green Bay
Velleux, M.; Endicott, D.
1994-01-01
A mass balance approach was used to model contaminant cycling in the lower Fox River from the DePere Dam to Green Bay. The objectives of this research were (1) to estimate present contaminant export from the Fox River to Green Bay, and (2) to quantify contaminant transport and fate pathways in the lower river for the study period. Specifically, a model describing the transport, fate, and export of chlorides, total suspended solids, total PCBs, and six PCB congeners for the lower Fox River was developed. Field data collected as part of the U.S. Environmental Protection Agency's Green Bay Mass Balance Study were used to calibrate the model. Model results suggest that the transport of inplace pollutants significantly contributed to the cumulative export of total PCBs over this period. Estimated total PCB transport in the Fox River during 1989 increased 60% between the dam and river mouth due to the resuspension of lower river sediments. Total suspended solids and PCB predictions are most sensitive to particle transport parameters, particularly the settling and resuspension velocities. The significant components of the total PCB mass balance are import (loading over the DePere Dam), settling, resuspension, and export to Green Bay. Volatilization, porewater transport, and point source input were not significant to the mass balance. Present point source discharges to the river are not significant total PCB sources, collectively contributing less than 6 kg of PCB to the river during the mass balance period.
The Sun, stellar-population models, and the age estimation of high-redshift galaxies
Louisa A. Nolan; James S. Dunlop; Raul Jimenez
2000-10-24
Given sufficiently deep optical spectroscopy, the age estimation of high-redshif t ($z > 1$) galaxies has been claimed to be a relatively robust process (e.g. Dunlop et al. 1996) due to the fact that, for ages $< 5$Gyr, the near-ultraviolet light of a stellar population is expected to be dominated by `well-understood' main-sequence (MS) stars. Recently, however, the reliability of this process has been called into question by Yi et al (2000), who claim to have developed models in which the spectrum produced by the main sequence reddens much more rapidly than in the models of Jimenez et al (2000a), leading to much younger age estimates for the reddest known high-redshift ellipticals. In support of their revised age estimates, Yi et al cite the fact that their models can reproduce the spectrum of the Sun at an age of 5 Gyr, whereas the solar spectrum is not reproduced by the Jimenez et al models until $\\simeq 10$ Gyr. Here we confirm this discrepancy, but point out that this is in fact a {\\it strength} of the Jimenez et al models and indicative of some flaw in the models of Yi et al (which, in effect, imply that the Sun will turn into a red giant any minute now). We have also explored the models of Worthey (1994) (which are known to differ greatly from those of Jimenez et al in the treatment of post-MS evolution) and find that the main-sequence component of Worthey's models also cannot reproduce the solar spectrum until an age of 9-10 Gyr. We conclude that either the models of Yi et al are not as main-sequence dominated at 4-5 Gyr as claimed, or that the stellar evolutionary timescale in these models is in error by a factor possibly as high as two. (abridged)
Estimation of a supply and demand model for the hired farm labor market in Texas
Turley, Keith Pool
1977-01-01
ESTIMATION OF A SUPPLY AND DEMAND MODEL FOR THE HIRED FARM LABOR MARKET IN TEXAS A Thesis by KEITH POOL TURLEY Submitted to the Craduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER... Or SCIENCI. December 1977 Major Subject: Agricultural Economics ESTIMATION OF A SUPPLY AND DEMAND NODEL FOR THE HIRED FARM LABOR MARKET IN TEXAS A Thesis by KEITH POOL TURLEY Approved as to style and content by: Ch rman of Comm' tee) Member Mem r...
Estimating a model discrepancy term for the Community Land Model using latent heat and
Ray, Jaideep
system models; coupled to an atmosphere & ocean model · Can be used in global (gridded) mode or locally calibration = O(104) #12;What is CLM? · A model for biogeochemical & hydrological processes · Used in Earth
Miller, C.; Little, C.A.
1982-08-01
The purpose is to summarize estimates based on currently available data of the uncertainty associated with radiological assessment models. The models being examined herein are those recommended previously for use in breeder reactor assessments. Uncertainty estimates are presented for models of atmospheric and hydrologic transport, terrestrial and aquatic food-chain bioaccumulation, and internal and external dosimetry. Both long-term and short-term release conditions are discussed. The uncertainty estimates presented in this report indicate that, for many sites, generic models and representative parameter values may be used to calculate doses from annual average radionuclide releases when these calculated doses are on the order of one-tenth or less of a relevant dose limit. For short-term, accidental releases, especially those from breeder reactors located in sites dominated by complex terrain and/or coastal meteorology, the uncertainty in the dose calculations may be much larger than an order of magnitude. As a result, it may be necessary to incorporate site-specific information into the dose calculation under these circumstances to reduce this uncertainty. However, even using site-specific information, natural variability and the uncertainties in the dose conversion factor will likely result in an overall uncertainty of greater than an order of magnitude for predictions of dose or concentration in environmental media following shortterm releases.
Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models
S. A. Eide; D. M. Rasmuson; C. L. Atwood
2008-09-01
The U.S. Nuclear Regulatory Commission maintains a set of risk models covering the U.S. commercial nuclear power plants. These standardized plant analysis risk (SPAR) models include several loss-of-coolant accident (LOCA) initiating events such as small (SLOCA), medium (MLOCA), and large (LLOCA). All of these events involve a loss of coolant inventory from the reactor coolant system. In order to maintain a level of consistency across these models, initiating event frequencies generally are based on plant-type average performance, where the plant types are boiling water reactors and pressurized water reactors. For certain risk analyses, these plant-type initiating event frequencies may be replaced by plant-specific estimates. Frequencies for SPAR LOCA initiating events previously were based on results presented in NUREG/CR-5750, but the newest models use results documented in NUREG/CR-6928. The estimates in NUREG/CR-6928 are based on historical data from the initiating events database for pressurized water reactor SLOCA or an interpretation of results presented in the draft version of NUREG-1829. The information in NUREG-1829 can be used several ways, resulting in different estimates for the various LOCA frequencies. Various ways NUREG-1829 information can be used to estimate LOCA frequencies were investigated and this paper presents two methods for the SPAR model standard inputs, which differ from the method used in NUREG/CR-6928. In addition, results obtained from NUREG-1829 are compared with actual operating experience as contained in the initiating events database.
Harlim, John; Mahdi, Adam; Majda, Andrew J.
2014-01-15
A central issue in contemporary science is the development of nonlinear data driven statistical–dynamical models for time series of noisy partial observations from nature or a complex model. It has been established recently that ad-hoc quadratic multi-level regression models can have finite-time blow-up of statistical solutions and/or pathological behavior of their invariant measure. Recently, a new class of physics constrained nonlinear regression models were developed to ameliorate this pathological behavior. Here a new finite ensemble Kalman filtering algorithm is developed for estimating the state, the linear and nonlinear model coefficients, the model and the observation noise covariances from available partial noisy observations of the state. Several stringent tests and applications of the method are developed here. In the most complex application, the perfect model has 57 degrees of freedom involving a zonal (east–west) jet, two topographic Rossby waves, and 54 nonlinearly interacting Rossby waves; the perfect model has significant non-Gaussian statistics in the zonal jet with blocked and unblocked regimes and a non-Gaussian skewed distribution due to interaction with the other 56 modes. We only observe the zonal jet contaminated by noise and apply the ensemble filter algorithm for estimation. Numerically, we find that a three dimensional nonlinear stochastic model with one level of memory mimics the statistical effect of the other 56 modes on the zonal jet in an accurate fashion, including the skew non-Gaussian distribution and autocorrelation decay. On the other hand, a similar stochastic model with zero memory levels fails to capture the crucial non-Gaussian behavior of the zonal jet from the perfect 57-mode model.
Glass Property Data and Models for Estimating High-Level Waste Glass Volume
Vienna, John D.; Fluegel, Alexander; Kim, Dong-Sang; Hrma, Pavel R.
2009-10-05
This report describes recent efforts to develop glass property models that can be used to help estimate the volume of high-level waste (HLW) glass that will result from vitrification of Hanford tank waste. The compositions of acceptable and processable HLW glasses need to be optimized to minimize the waste-form volume and, hence, to save cost. A database of properties and associated compositions for simulated waste glasses was collected for developing property-composition models. This database, although not comprehensive, represents a large fraction of data on waste-glass compositions and properties that were available at the time of this report. Glass property-composition models were fit to subsets of the database for several key glass properties. These models apply to a significantly broader composition space than those previously publised. These models should be considered for interim use in calculating properties of Hanford waste glasses.
Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels
Olama, Mohammed M [ORNL] [ORNL; Djouadi, Seddik M [ORNL] [ORNL; Li, Yanyan [ORNL] [ORNL; Fathy, Aly [University of Tennessee (UT)] [University of Tennessee (UT)
2013-01-01
In this paper, stochastic differential equations (SDEs) are used to model ultrawideband (UWB) indoor wireless channels. We show that the impulse responses for time-varying indoor wireless channels can be approximated in a mean square sense as close as desired by impulse responses that can be realized by SDEs. The state variables represent the inphase and quadrature components of the UWB channel. The expected maximization and extended Kalman filter are employed to recursively identify and estimate the channel parameters and states, respectively, from online received signal strength measured data. Both resolvable and non-resolvable multipath received signals are considered and represented as small-scaled Nakagami fading. The proposed models together with the estimation algorithm are tested using UWB indoor measurement data demonstrating the method s viability and the results are presented.
Modeling and estimation in Gaussian graphical models : maximum-entropy methods and walk-sum analysis
Chandrasekaran, Venkat
2007-01-01
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fields such as computer vision, image processing, ...
Evolution of Meteorological Base Models for Estimating Hourly Global Solar Radiation in Texas
Kim, H.; Baltazar, J.C.; Haberl, J.S
2013-01-01
-11-01 Available online at www.sciencedirect.com Energy Procedia 00 (2013) 000–000 www.elsevier.com/locate/procedia 2013 ISES Solar World Congress Evaluation of Meteorological Base Models for Estimating Hourly Global Solar Radiation in Texas Kee Han..., U.S.A. Abstract Building thermal performance and potential solar applications depend on the quality of the solar resource data available. Unfortunately, most of the locations do not account for measured solar radiation data and, as a result, rely...
ESTIMATING THE PROPERTIES OF HARD X-RAY SOLAR FLARES BY CONSTRAINING MODEL PARAMETERS
Ireland, J. [ADNET Systems, Inc. at NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Tolbert, A. K.; Schwartz, R. A. [Catholic University of America at NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Holman, G. D.; Dennis, B. R. [NASA Goddard Space Flight Center, Code 671, Greenbelt, MD 20771 (United States)
2013-06-01
We wish to better constrain the properties of solar flares by exploring how parameterized models of solar flares interact with uncertainty estimation methods. We compare four different methods of calculating uncertainty estimates in fitting parameterized models to Ramaty High Energy Solar Spectroscopic Imager X-ray spectra, considering only statistical sources of error. Three of the four methods are based on estimating the scale-size of the minimum in a hypersurface formed by the weighted sum of the squares of the differences between the model fit and the data as a function of the fit parameters, and are implemented as commonly practiced. The fourth method is also based on the difference between the data and the model, but instead uses Bayesian data analysis and Markov chain Monte Carlo (MCMC) techniques to calculate an uncertainty estimate. Two flare spectra are modeled: one from the Geostationary Operational Environmental Satellite X1.3 class flare of 2005 January 19, and the other from the X4.8 flare of 2002 July 23. We find that the four methods give approximately the same uncertainty estimates for the 2005 January 19 spectral fit parameters, but lead to very different uncertainty estimates for the 2002 July 23 spectral fit. This is because each method implements different analyses of the hypersurface, yielding method-dependent results that can differ greatly depending on the shape of the hypersurface. The hypersurface arising from the 2005 January 19 analysis is consistent with a normal distribution; therefore, the assumptions behind the three non-Bayesian uncertainty estimation methods are satisfied and similar estimates are found. The 2002 July 23 analysis shows that the hypersurface is not consistent with a normal distribution, indicating that the assumptions behind the three non-Bayesian uncertainty estimation methods are not satisfied, leading to differing estimates of the uncertainty. We find that the shape of the hypersurface is crucial in understanding the output from each uncertainty estimation technique, and that a crucial factor determining the shape of hypersurface is the location of the low-energy cutoff relative to energies where the thermal emission dominates. The Bayesian/MCMC approach also allows us to provide detailed information on probable values of the low-energy cutoff, E{sub c} , a crucial parameter in defining the energy content of the flare-accelerated electrons. We show that for the 2002 July 23 flare data, there is a 95% probability that E{sub c} lies below approximately 40 keV, and a 68% probability that it lies in the range 7-36 keV. Further, the low-energy cutoff is more likely to be in the range 25-35 keV than in any other 10 keV wide energy range. The low-energy cutoff for the 2005 January 19 flare is more tightly constrained to 107 {+-} 4 keV with 68% probability. Using the Bayesian/MCMC approach, we also estimate for the first time probability density functions for the total number of flare-accelerated electrons and the energy they carry for each flare studied. For the 2002 July 23 event, these probability density functions are asymmetric with long tails orders of magnitude higher than the most probable value, caused by the poorly constrained value of the low-energy cutoff. The most probable electron power is estimated at 10{sup 28.1} erg s{sup -1}, with a 68% credible interval estimated at 10{sup 28.1}-10{sup 29.0} erg s{sup -1}, and a 95% credible interval estimated at 10{sup 28.0}-10{sup 30.2} erg s{sup -1}. For the 2005 January 19 flare spectrum, the probability density functions for the total number of flare-accelerated electrons and their energy are much more symmetric and narrow: the most probable electron power is estimated at 10{sup 27.66{+-}0.01} erg s{sup -1} (68% credible intervals). However, in this case the uncertainty due to systematic sources of error is estimated to dominate the uncertainty due to statistical sources of error.
Fact #718: March 12, 2012 Number of Flex-Fuel Models Offered Increased in 2011
Broader source: Energy.gov [DOE]
General Motors (GM), Ford, and Chrysler have produced many different models of flex-fuel vehicles (cars and light trucks) over the last five years. In 2011, the number of models offered by those...
Modeling Estimated Personnel Needs for a Potential Foot and Mouth Disease Outbreak
Simmons, K; Hullinger, P
2008-01-29
Foot and Mouth disease (FMD) is a highly infectious and contagious viral disease affecting cloven-hoofed livestock that was last detected in the United States (US) in 1929. The prevalence of FMD in other countries, as well as the current potential for this virus to be used as a form of agroterrorism, has made preparations for a potential FMD outbreak a national priority. To assist in the evaluation of national preparedness, all 50 states were surveyed via e-mail, telephone and web search to obtain emergency response plans for FMD or for foreign animal diseases in general. Information from 33 states was obtained and analyzed for estimates of personnel resources needed to respond to an outbreak. These estimates were consolidated and enhanced to create a tool that could be used by individual states to better understand the personnel that would be needed to complete various tasks over time during an outbreak response. The estimates were then coupled, post-processing, to the output from FMD outbreaks simulated in California using the Multiscale Epidemiological/Economic Simulation and Analysis (MESA) model at Lawrence Livermore National Laboratory to estimate the personnel resource demands, by task, over the course of an outbreak response.
Madas, Balázs G
2013-01-01
There is a considerable debate between research groups applying the two stage clonal expansion model for lung cancer risk estimation, whether radon exposure affects initiation and transformation or promotion. The objective of the present study is to quantify the effects of radon progeny on these stages with biophysical models. For this purpose, numerical models of mutation induction and clonal growth were applied in order to estimate how initiation, transformation and promotion rates depend on tissue dose rate. It was found that rates of initiation and transformation increase monotonically with dose rate, while effective promotion rate decreases with time, but increases in a supralinear fashion with dose rate. Despite the uncertainty of the results due to the lack of experimental data, present study suggests that effects of radon exposure on both mutational events and clonal growth are significant, and should be considered in epidemiological analyses applying mathematical models of carcinogenesis.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Wang, Mo; Xu, B.; Cao, J.; Tie, X.; Wang, Hailong; Zhang, Rudong; Qian, Yun; Rasch, Philip J.; Zhao, Shuyu; Wu, Guangjian; et al
2015-02-02
High temporal resolution measurements of black carbon (BC) and organic carbon (OC) covering the time period of 1956–2006 in an ice core over the southeastern Tibetan Plateau show a distinct seasonal dependence of BC and OC with higher respective concentrations but a lower OC / BC ratio in the non-monsoon season than during the summer monsoon. We use a global aerosol-climate model, in which BC emitted from different source regions can be explicitly tracked, to quantify BC source–receptor relationships between four Asian source regions and the southeastern Tibetan Plateau as a receptor. The model results show that South Asia hasmore »the largest contribution to the present-day (1996–2005) mean BC deposition at the ice-core drilling site during the non-monsoon season (October to May) (81%) and all year round (74%), followed by East Asia (14% to the non-monsoon mean and 21% to the annual mean). The ice-core record also indicates stable and relatively low BC and OC deposition fluxes from the late 1950s to 1980, followed by an overall increase to recent years. This trend is consistent with the BC and OC emission inventories and the fuel consumption of South Asia (as the primary contributor to annual mean BC deposition). Moreover, the increasing trend of the OC / BC ratio since the early 1990s indicates a growing contribution of coal combustion and/or biomass burning to the emissions. The estimated radiative forcing induced by BC and OC impurities in snow has increased since 1980, suggesting an increasing potential influence of carbonaceous aerosols on the Tibetan glacier melting and the availability of water resources in the surrounding regions. Our study indicates that more attention to OC is merited because of its non-negligible light absorption and the recent rapid increases evident in the ice-core record.« less
Wang, Mo; Xu, B.; Cao, J.; Tie, X.; Wang, Hailong; Zhang, Rudong; Qian, Yun; Rasch, Philip J.; Zhao, Shuyu; Wu, Guangjian; Zhao, Huabiao; Joswiak, Daniel R.; Li, Jiule; Xie, Ying
2015-01-01
High temporal resolution measurements of black carbon (BC) and organic carbon (OC) covering the time period of 1956–2006 in an ice core over the southeastern Tibetan Plateau show a distinct seasonal dependence of BC and OC with higher respective concentrations but a lower OC / BC ratio in the non-monsoon season than during the summer monsoon. We use a global aerosol-climate model, in which BC emitted from different source regions can be explicitly tracked, to quantify BC source–receptor relationships between four Asian source regions and the southeastern Tibetan Plateau as a receptor. The model results show that South Asia has the largest contribution to the present-day (1996–2005) mean BC deposition at the ice-core drilling site during the non-monsoon season (October to May) (81%) and all year round (74%), followed by East Asia (14% to the non-monsoon mean and 21% to the annual mean). The ice-core record also indicates stable and relatively low BC and OC deposition fluxes from the late 1950s to 1980, followed by an overall increase to recent years. This trend is consistent with the BC and OC emission inventories and the fuel consumption of South Asia (as the primary contributor to annual mean BC deposition). Moreover, the increasing trend of the OC / BC ratio since the early 1990s indicates a growing contribution of coal combustion and/or biomass burning to the emissions. The estimated radiative forcing induced by BC and OC impurities in snow has increased since 1980, suggesting an increasing potential influence of carbonaceous aerosols on the Tibetan glacier melting and the availability of water resources in the surrounding regions. Our study indicates that more attention to OC is merited because of its non-negligible light absorption and the recent rapid increases evident in the ice-core record.
A Biomass-based Model to Estimate the Plausibility of Exoplanet Biosignature Gases
Seager, S; Hu, R
2013-01-01
Biosignature gas detection is one of the ultimate future goals for exoplanet atmosphere studies. We have created a framework for linking biosignature gas detectability to biomass estimates, including atmospheric photochemistry and biological thermodynamics. The new framework is intended to liberate predictive atmosphere models from requiring fixed, Earth-like biosignature gas source fluxes. New biosignature gases can be considered with a check that the biomass estimate is physically plausible. We have validated the models on terrestrial production of NO, H2S, CH4, CH3Cl, and DMS. We have applied the models to propose NH3 as a biosignature gas on a "cold Haber World," a planet with a N2-H2 atmosphere, and to demonstrate why gases such as CH3Cl must have too large of a biomass to be a plausible biosignature gas on planets with Earth or early-Earth-like atmospheres orbiting a Sun-like star. To construct the biomass models, we developed a functional classification of biosignature gases, and found that gases (such...
Nonlinear harmonic modeling of phemt devices for increased power amplifier efficiencies
Strassner, Bernd Herbert
1997-01-01
This thesis is a comprehensive study of how harmonic terminations can greatly increase a power amplifier's efficiency (PAE). To show this improvement, the PHEMT amplifier is biased in the low noise region of operation (L, ...
Oostrom, Martinus; Truex, Michael J.; Rice, Amy K.; Johnson, Christian D.; Carroll, Kenneth C.; Becker, Dave; Simon, Michelle A.
2014-04-28
Soil vapor extraction (SVE) is a prevalent remediation approach for volatile contaminants in the vadose zone. To support selection of an appropriate endpoint for the SVE remedy, an evaluation is needed to determine whether vadose zone contamination has been diminished sufficiently to protect groundwater. When vapor-phase transport is an important component of the overall contaminant fate and transport from a vadose zone source, the contaminant concentration expected in groundwater is controlled by a limited set of parameters, including specific site dimensions, vadose zone properties, and source characteristics. An approach was developed for estimating the contaminant concentration in groundwater resulting from a contaminant source in the vadose zone based on pre-modeling contaminant transport for a matrix of parameter value combinations covering a range of potential site conditions. An interpolation and scaling process are then applied to estimate groundwater impact for site-specific conditions.
Developing a Cost Model and Methodology to Estimate Capital Costs for Thermal Energy Storage
Glatzmaier, G.
2011-12-01
This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation system leads to higher thermal-to-electric conversion efficiency. However, in a CSP system, higher operating temperature also leads to greater thermal losses. These two effects combine to give an optimal system-level operating temperature that may be less than the upper operating temperature limit of system components. The overall efficiency may be improved by developing materials, power cycles, and system-integration strategies that enable operation at elevated temperature while limiting thermal losses. This is particularly true for the TES system and its components. Meeting the SunShot cost target will require cost and performance improvements in all systems and components within a CSP plant. Solar collector field hardware will need to decrease significantly in cost with no loss in performance and possibly with performance improvements. As higher temperatures are considered for the power block, new working fluids, heat-transfer fluids (HTFs), and storage fluids will all need to be identified to meet these new operating conditions. Figure 1 shows thermodynamic conversion efficiency as a function of temperature for the ideal Carnot cycle and 75% Carnot, which is considered to be the practical efficiency attainable by current power cycles. Current conversion efficiencies for the parabolic trough steam cycle, power tower steam cycle, parabolic dish/Stirling, Ericsson, and air-Brayton/steam Rankine combined cycles are shown at their corresponding operating temperatures. Efficiencies for supercritical steam and carbon dioxide (CO{sub 2}) are also shown for their operating temperature ranges.
Improving the representation of terrestrial ecosystem processes in Earth system models to increase results are incorporated into Earth system models to improve climate projections. e overarching goal of TES is to improve the representation of terrestrial ecosystem processes in Earth system models
Hwang, Ho-Ling; Davis, Stacy Cagle
2009-12-01
This report is designed to document the analysis process and estimation models currently used by the Federal Highway Administration (FHWA) to estimate the off-highway gasoline consumption and public sector fuel consumption. An overview of the entire FHWA attribution process is provided along with specifics related to the latest update (2008) on the Off-Highway Gasoline Use Model and the Public Use of Gasoline Model. The Off-Highway Gasoline Use Model is made up of five individual modules, one for each of the off-highway categories: agricultural, industrial and commercial, construction, aviation, and marine. This 2008 update of the off-highway models was the second major update (the first model update was conducted during 2002-2003) after they were originally developed in mid-1990. The agricultural model methodology, specifically, underwent a significant revision because of changes in data availability since 2003. Some revision to the model was necessary due to removal of certain data elements used in the original estimation method. The revised agricultural model also made use of some newly available information, published by the data source agency in recent years. The other model methodologies were not drastically changed, though many data elements were updated to improve the accuracy of these models. Note that components in the Public Use of Gasoline Model were not updated in 2008. A major challenge in updating estimation methods applied by the public-use model is that they would have to rely on significant new data collection efforts. In addition, due to resource limitation, several components of the models (both off-highway and public-us models) that utilized regression modeling approaches were not recalibrated under the 2008 study. An investigation of the Environmental Protection Agency's NONROAD2005 model was also carried out under the 2008 model update. Results generated from the NONROAD2005 model were analyzed, examined, and compared, to the extent that is possible on the overall totals, to the current FHWA estimates. Because NONROAD2005 model was designed for emission estimation purposes (i.e., not for measuring fuel consumption), it covers different equipment populations from those the FHWA models were based on. Thus, a direct comparison generally was not possible in most sectors. As a result, NONROAD2005 data were not used in the 2008 update of the FHWA off-highway models. The quality of fuel use estimates directly affect the data quality in many tables published in the Highway Statistics. Although updates have been made to the Off-Highway Gasoline Use Model and the Public Use Gasoline Model, some challenges remain due to aging model equations and discontinuation of data sources.
Increased fermentation activity and persistent methanogenesis in a model aquifer system
Alvarez, Pedro J.
being used as a blending agent for gasoline, which increases the likelihood of ethanol blend releases source removal of an ethanol blend release Jie Ma a,1 , William G. Rixey b , Pedro J.J. Alvarez a contamination by ethanol-blended fuel calls for improved understanding of how remediation efforts affect
Long, David G.
Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood
Rauhut, Holger
686 IEEE TRANSACTIONS ON MAGNETICS, VOL. 44, NO. 6, JUNE 2008 Estimating the Eddy-Current Modeling Zurich, CH-8092 ZÃ¼rich, Switzerland The eddy-current model is an approximation of the full Maxwell delivers a mathematical basis for assessing the scope of the eddy-current model. Index Terms--Eddy current
Mooijaart, Ab; Satorra, Albert
2011-01-01
of-?t summaries for the MM method degrees of freedom chi-regarding the robustness of the MM method to non-normality.MM versus ML estimates of structural equation models with
Lautenberger, Chris; Rein, Guillermo; Fernandez-Pello, Carlos
A methodology based on an automated optimization technique that uses a genetic algorithm (GA) is developed to estimate the material properties needed for CFD-based fire growth modeling from bench-scale fire test data. ...
A mathematical model for the estimation of flue temperature in a coke oven
Choi, K.I.; Kim, S.Y.; Suo, J.S.; Hur, N.S.; Kang, I.S.; Lee, W.J.
1997-12-31
The coke plants at the Kwangyang works has adopted an Automatic Battery Control (ABC) system which consists of four main parts, battery heating control, underfiring heat and waste gas oxygen control, pushing and charging schedule and Autotherm-S that measures heating wall temperature during pushing. The measured heating wall temperature is used for calculating Mean Battery Temperature (MBT) which is average temperature of flues for a battery, but the Autotherm-S system can not provide the flue temperatures of an oven. This work attempted to develop mathematical models for the estimation of the flue temperature using the measured heating wall temperature and to examine fitness of the mathematical model for the coke plant operation by analysis of raw gas temperature at the stand pipe. Through this work it is possible to reflect heating wall temperature in calculating MBT for battery heating control without the interruption caused by a maintenance break.
Barnes, Elizabeth A.
Response of the Midlatitude Jets, and of Their Variability, to Increased Greenhouse Gases This work documents how the midlatitude, eddy-driven jets respond to climate change using model output from Atlantic, the North Pacific, and the Southern Hemisphere jets. The analysis is not limited to annual- mean
Zhu, Ke; 10.1214/11-AOS895
2012-01-01
This paper investigates the asymptotic theory of the quasi-maximum exponential likelihood estimators (QMELE) for ARMA--GARCH models. Under only a fractional moment condition, the strong consistency and the asymptotic normality of the global self-weighted QMELE are obtained. Based on this self-weighted QMELE, the local QMELE is showed to be asymptotically normal for the ARMA model with GARCH (finite variance) and IGARCH errors. A formal comparison of two estimators is given for some cases. A simulation study is carried out to assess the performance of these estimators, and a real example on the world crude oil price is given.
Anderson, Charles W.
THESIS A MODELING APPROACH TO ESTIMATING SNOW COVER DEPLETION AND SOIL MOISTURE RECHARGE IN A SEMI A MODELING APPROACH TO ESTIMATING SNOW COVER DEPLETION AND SOIL MOISTURE RECHARGE IN A SEMI-ARID CLIMATE ________________________________________ Department Head #12;iii ABSTRACT A MODELING APPROACH TO ESTIMATING SNOW COVER DEPLETION AND SOIL MOISTURE
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
Calibration Using GRACE Data and Base Flow Estimates [ 17 ]ESTIMATION USING GRACE DATA base flow data. In this casemeasured GRACE data and estimated base flow simultaneously
Importance of exposure model in estimating impacts when a water distribution system is contaminated.
Davis, M. J.; Janke, R.; Environmental Science Division; USEPA
2008-09-01
The quantity of a contaminant ingested by individuals using tap water drawn from a water distribution system during a contamination event depends on the concentration of the contaminant in the water and the volume of water ingested. If the concentration varies with time, the actual time of exposure affects the quantity ingested. The influence of the timing of exposure and of individual variability in the volume of water ingested on estimated impacts for a contamination event has received limited attention. We examine the significance of ingestion timing and variability in the volume of water ingested by using a number of models for ingestion timing and volume. Contaminant concentrations were obtained from simulations of an actual distribution system for cases involving contaminant injections lasting from 1 to 24 h. We find that assumptions about exposure can significantly influence estimated impacts, especially when injection durations are short and impact thresholds are high. The influence of ingestion timing and volume should be considered when assessing impacts for contamination events.
Moeller, M. P.; Urbanik, II, T.; Desrosiers, A. E.
1982-03-01
This paper describes the methodology and application of the computer model CLEAR (Calculates Logical Evacuation And Response) which estimates the time required for a specific population density and distribution to evacuate an area using a specific transportation network. The CLEAR model simulates vehicle departure and movement on a transportation network according to the conditions and consequences of traffic flow. These include handling vehicles at intersecting road segments, calculating the velocity of travel on a road segment as a function of its vehicle density, and accounting for the delay of vehicles in traffic queues. The program also models the distribution of times required by individuals to prepare for an evacuation. In order to test its accuracy, the CLEAR model was used to estimate evacuatlon tlmes for the emergency planning zone surrounding the Beaver Valley Nuclear Power Plant. The Beaver Valley site was selected because evacuation time estimates had previously been prepared by the licensee, Duquesne Light, as well as by the Federal Emergency Management Agency and the Pennsylvania Emergency Management Agency. A lack of documentation prevented a detailed comparison of the estimates based on the CLEAR model and those obtained by Duquesne Light. However, the CLEAR model results compared favorably with the estimates prepared by the other two agencies.
Moment-Based Probability Modeling and Extreme Response Estimation, The FITS Routine Version 1.2
MANUEL,LANCE; KASHEF,TINA; WINTERSTEIN,STEVEN R.
1999-11-01
This report documents the use of the FITS routine, which provides automated fits of various analytical, commonly used probability models from input data. It is intended to complement the previously distributed FITTING routine documented in RMS Report 14 (Winterstein et al., 1994), which implements relatively complex four-moment distribution models whose parameters are fit with numerical optimization routines. Although these four-moment fits can be quite useful and faithful to the observed data, their complexity can make them difficult to automate within standard fitting algorithms. In contrast, FITS provides more robust (lower moment) fits of simpler, more conventional distribution forms. For each database of interest, the routine estimates the distribution of annual maximum response based on the data values and the duration, T, over which they were recorded. To focus on the upper tails of interest, the user can also supply an arbitrary lower-bound threshold, {chi}{sub low}, above which a shifted distribution model--exponential or Weibull--is fit.
Chen, Jinsong
seismic AVA and CSEM data Jinsong Chen*, Lawrence Berkeley National Laboratory, and Thomas Dickens, ExxonMobil models on estimates of reservoir parameters from joint inversion of seismic AVA and CSEM data. The reser and CSEM data. In practice, model parameters are often derived from nearby well logs. First, an appropriate
Martin, Timothy
-relative-humidity-based two-source (ARTS) E model that simulates the surface energy balance, soil water balanceGlobal estimation of evapotranspiration using a leaf area index-based surface energy and water balance model H. Yan a, , S.Q. Wang b , D. Billesbach c , W. Oechel d , J.H. Zhang e , T. Meyers f , T
Post, Ellen S.; Grambsch, A.; Weaver, C. P.; Morefield, Philip; Huang, Jin; Leung, Lai-Yung R.; Nolte, Christopher G.; Adams, P. J.; Liang, Xin-Zhong; Zhu, J.; Mahoney, Hardee
2012-11-01
Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still have investigated the sensitivity of estimates to the underlying modeling choices.
Galtchouk, Leonid
2008-01-01
An adaptive nonparametric estimation procedure is constructed for the estimation problem of heteroscedastic regression when the noise variance depends on the unknown regression. A non-asymptotic upper bound for a quadratic risk (an oracle inequality) is constructed.
Collins, D E; Gammon, J; Shaw, M L
1980-01-01
The Capital Requirements Estimating Model for the Electric Utilities (CREMOD) is a system of programs and data files used to estimate the capital requirements of the electric utility industry for each year between the current one and 1990. CREMOD disaggregates new electric plant capacity levels from the Mid-term Energy Forecasting System (MEFS) Integrating Model solution over time using actual projected commissioning dates. It computes the effect on aggregate capital requirements of dispersal of new plant and capital expenditures over relatively long construction lead times on aggregate capital requirements for each year. Finally, it incorporates the effects of real escalation in the electric utility construction industry on these requirements and computes the necessary transmission and distribution expenditures. This model was used in estimating the capital requirements of the electric utility sector. These results were used in compilation of the aggregate capital requirements for the financing of energy development as published in the 1978 Annual Report to Congress. This volume, Vol. I, explains CREMOD's methodology, functions, and applications.
Using coronal seismology to estimate the magnetic field strength in a realistic coronal model
Chen, Feng
2015-01-01
Coronal seismology is extensively used to estimate properties of the corona, e.g. the coronal magnetic field strength are derived from oscillations observed in coronal loops. We present a three-dimensional coronal simulation including a realistic energy balance in which we observe oscillations of a loop in synthesised coronal emission. We use these results to test the inversions based on coronal seismology. From the simulation of the corona above an active region we synthesise extreme ultraviolet (EUV) emission from the model corona. From this we derive maps of line intensity and Doppler shift providing synthetic data in the same format as obtained from observations. We fit the (Doppler) oscillation of the loop in the same fashion as done for observations to derive the oscillation period and damping time. The loop oscillation seen in our model is similar to imaging and spectroscopic observations of the Sun. The velocity disturbance of the kink oscillation shows an oscillation period of 52.5s and a damping tim...
Experimental estimation of dynamic plastic bending moments by plastic hinge models
Sogo, T.; Ujihashi, S.; Matsumoto, H.; Adachi, T.
1995-12-31
In the present paper, the experimental estimation of dynamic plastic bending moments for metallic materials is investigated. The three-point bending, test under impact and static loads is applied to aluminum alloy (JIS A6063S) and mild steel (JIS SS400). It is confirmed that tile dynamic bending deformations in three-point bending test can be modeled as a plastic hinge, tile experimental results show that the consumed energies of the specimens are proportional to the bending angles. The ratio of the consumed energy to the bending angle is approximately equal to the plastic bending moment. In the case of aluminum alloy, the dynamic plastic bending moments for the different average bending angular velocities coincide with the static plastic bending moments. On the other hand, in the case of mild steel, the dynamic plastic bending moments are proportional to the average bending angular velocities. As a result, we confirm that the present method based on the plastic hinge model and the consumed energy is efficient for determining tile dynamic plastic bending moment.
Ely, Gregory
2013-01-01
In this paper we present a novel technique for micro-seismic localization using a group sparse penalization that is robust to the focal mechanism of the source and requires only a velocity model of the stratigraphy rather than a full Green's function model of the earth's response. In this technique we construct a set of perfect delta detector responses, one for each detector in the array, to a seismic event at a given location and impose a group sparsity across the array. This scheme is independent of the moment tensor and exploits the time compactness of the incident seismic signal. Furthermore we present a method for improving the inversion of the moment tensor and Green's function when the geometry of seismic array is limited. In particular we demonstrate that both Tikhonov regularization and truncated SVD can improve the recovery of the moment tensor and be robust to noise. We evaluate our algorithm on synthetic data and present error bounds for both estimation of the moment tensor as well as localization...
N. Daniel Kumar
2009-01-06
Machine learning techniques are utilised in several areas of astrophysical research today. This dissertation addresses the application of ML techniques to two classes of problems in astrophysics, namely, the analysis of individual astronomical phenomena over time and the automated, simultaneous analysis of thousands of objects in large optical sky surveys. Specifically investigated are (1) techniques to approximate the precise orbits of the satellites of Jupiter and Saturn given Earth-based observations as well as (2) techniques to quickly estimate the distances of quasars observed in the Sloan Digital Sky Survey. Learning methods considered include genetic algorithms, particle swarm optimisation, artificial neural networks, and radial basis function networks. The first part of this dissertation demonstrates that GAs and PSO can both be efficiently used to model functions that are highly non-linear in several dimensions. It is subsequently demonstrated in the second part that ANNs and RBFNs can be used as effective predictors of spectroscopic redshift given accurate photometry, especially in combination with other learning-based approaches described in the literature. Careful application of these and other ML techniques to problems in astronomy and astrophysics will contribute to a better understanding of stellar evolution, binary star systems, cosmology, and the large-scale structure of the universe.
Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical model
Stefanopoulou, Anna
Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical model Domenico Di Domenico, Giovanni Fiengo and Anna Stefanopoulou Abstract-- Lithium-ion battery hybrid electric vehicles (HEV). In most cases the lithium-ion battery performance plays an important role
deYoung, Brad
modelling, catchability, fish eggs, sampling, survey design, uncertainty, vertical distribution. Received 28 an absolute measure of abundance, because gear avoidance is non-existent and the reten- tion efficiency of plankton nets can be estimated precisely (Lo, 1985). However, survey design and precision represent key
Stefanopoulou, Anna
ESTIMATION OF ETHANOL CONTENT IN FLEX-FUEL VEHICLES USING AN EXHAUST GAS OXYGEN SENSOR: MODEL periods of intense interest in using ethanol as an alternative fuel to petroleum-based gasoline and diesel derivatives. Currently available flexible fuel vehicles (FFVs) can operate on a blend of gasoline and ethanol
Sahu, Sujit K
for estimating the health effects of air pollution Duncan Lee1, , Alastair Rushworth1 and Sujit K. Sahu2 . 1.Lee@glasgow.ac.uk Summary: Estimation of the long-term health effects of air pollution is a challenging task, especially effects confound the effects of air pollution, which are also globally smooth. To avoid this collinearity
Venditti, Jeremy G.
Estimating suspended sediment concentrations in areas with limited hydrological data using a mixed of Geography, Simon Fraser University, Burnaby, British Columbia, Canada Abstract: Sediment rating curves are commonly used to estimate the suspended sediment load in rivers and streams under the assumption
Fact #812: January 13, 2014 The Number of Models Achieving 40 MPG or More is Increasing Rapidly
Broader source: Energy.gov [DOE]
For the 2009 model year, there were only two models that achieved a combined EPA rating of 40 MPG or higher. By the 2013 model year, that number rose to 30 models. In 2009, the only two models with...
Donovan, E. M.; James, H.; Bonora, M.; Yarnold, J. R.; Evans, P. M.
2012-10-15
Purpose: To compare organ specific cancer incidence risks for standard and complex external beam radiotherapy (including cone beam CT verification) following breast conservation surgery for early breast cancer.Method: Doses from breast radiotherapy and kilovoltage cone beam CT (CBCT) exposures were obtained from thermoluminescent dosimeter measurements in an anthropomorphic phantom in which the positions of radiosensitive organs were delineated. Five treatment deliveries were investigated: (i) conventional tangential field whole breast radiotherapy (WBRT), (ii) noncoplanar conformal delivery applicable to accelerated partial beast irradiation (APBI), (iii) two-volume simultaneous integrated boost (SIB) treatment, (iv) forward planned three-volume SIB, and (v) inverse-planned three volume SIB. Conformal and intensity modulated radiotherapy methods were used to plan the complex treatments. Techniques spanned the range from simple methods appropriate for patient cohorts with a low cancer recurrence risk to complex plans relevant to cohorts with high recurrence risk. Delineated organs at risk included brain, salivary glands, thyroid, contralateral breast, left and right lung, esophagus, stomach, liver, colon, and bladder. Biological Effects of Ionizing Radiation (BEIR) VII cancer incidence models were applied to the measured mean organ doses to determine lifetime attributable risk (LAR) for ages at exposure from 35 to 80 yr according to radiotherapy techniques, and included dose from the CBCT imaging. Results: All LAR decreased with age at exposure and were lowest for brain, thyroid, liver, and bladder (<0.1%). There was little dependence of LAR on radiotherapy technique for these organs and for colon and stomach. LAR values for the lungs for the three SIB techniques were two to three times those from WBRT and APBI. Uncertainties in the LAR models outweigh any differences in lung LAR between the SIB methods. Constraints in the planning of the SIB methods ensured that contralateral breast doses and LAR were comparable to WBRT, despite their added complexity. The smaller irradiated volume of the ABPI plan contributed to a halving of LAR for contralateral breast compared with the other plan types. Daily image guided radiotherapy (IGRT) for a left breast protocol using kilovoltage CBCT contributed <10% to LAR for the majority of organs, and did not exceed 22% of total organ dose. Conclusions: Phantom measurements and calculations of LAR from the BEIR VII models predict that complex breast radiotherapy techniques do not increase the theoretical risk of second cancer incidence for organs distant from the treated breast, or the contralateral breast where appropriate plan constraints are applied. Complex SIB treatments are predicted to increase the risk of second cancer incidence in the lungs compared to standard whole breast radiotherapy; this is outweighed by the threefold reduction in 5 yr local recurrence risk for patients of high risk of recurrence, and young age, from the use of radiotherapy. APBI may have a favorable impact on risk of second cancer in the contralateral breast and lung for older patients at low risk of recurrence. Intensive use of IGRTincreased the estimated values of LAR but these are dominated by the effect of the dose from the radiotherapy, and any increase in LAR from IGRT is much lower than the models' uncertainties.
Raschke, Mathias
2015-01-01
In this paper, I introduce a novel approach to modelling the individual random component (also called the intra-event uncertainty) of a ground-motion relation (GMR), as well as a novel approach to estimating the corresponding parameters. In essence, I contend that the individual random component is reproduced adequately by a simple stochastic mechanism of random impulses acting in the horizontal plane, with random directions. The random number of impulses was Poisson distributed. The parameters of the model were estimated according to a proposal by Raschke (2013a), with the sample of random difference xi=ln(Y1)-ln(Y2), in which Y1 and Y2 are the horizontal components of local ground-motion intensity. Any GMR element was eliminated by subtraction, except the individual random components. In the estimation procedure the distribution of difference xi was approximated by combining a large Monte Carlo simulated sample and Kernel smoothing. The estimated model satisfactorily fitted the difference xi of the sample o...
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2010-08-11
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-05-14
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2010-08-11
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-05-14
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-05-14
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC3)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-05-14
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-CLDRAD SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-02-20
The ARM CMBE-CLDRAD [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected cloud and radiation relevant quantities from ACRF observations
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-CLDRAD SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-05-14
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1 V4)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Nauru (ARMBE-ATM TWPC2)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
Appendix A: GPRA08 benefits estimates: NEMS and MARKAL Model Baseline Cases
None, None
2009-01-18
Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.
An improved blade passage model for estimating off-design axial compressor performance
Brand, Maximilian Lewis
2013-01-01
Accurate estimates of multistage axial compressor performance at off-design operating conditions are essential to the determination of key performance metrics of aircraft gas turbine engines, such as fuel burn, thrust ...
Masuda, H.; Claridge, D.
2012-01-01
This paper presents and evaluates an indirect data-driven method to estimate influential building parameters: air exchange rates and overall heat transfer coefficients of building envelopes from the separately metered energy use for electricity...
Mukhopadhyay, S.
2009-01-01
the Drift Scale Test at Yucca Mountain Figure 1a. Figure 1b.Drift Scale Test at Yucca Mountain, Nevada, J. of Contam.gas into a tunnel at Yucca Mountain – Estimating large-scale
Efficient Hydraulic State Estimation Technique Using Reduced Models of Urban Water Networks
Preis, Ami
This paper describes and demonstrates an efficient method for online hydraulic state estimation in urban water networks. The proposed method employs an online predictor-corrector (PC) procedure for forecasting future water ...
Nonlinear Estimation for Model Based Fault Diagnosis of Nonlinear Chemical Systems
Qu, Chunyan
2011-02-22
Kalman filter (EKF), unscented Kalman filter (UKF), particle filtering (PF) and moving horizon estimation (MHE) etc. However, many issues related to the available techniques are to be solved. This dissertation discusses three important techniques...
ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-05-14
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2013-12-26
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2010-10-05
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2013-12-26
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1 V4)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2013-12-26
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2013-12-26
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Nauru (ARMBE-ATM TWPC2)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2010-10-05
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2013-12-26
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2012-05-14
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2010-10-05
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2010-10-05
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2013-12-27
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2011-12-13
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-CLDRAD SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-CLDRAD [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected cloud and radiation relevant quantities from ACRF observations
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC3)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-CLDRAD SGPC1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
Melanoma costs: A dynamic model comparing estimated overall costs of various clinical stages
Alexandrescu, Doru Traian
2009-01-01
AL. Trends in treatment costs for localized prostate cancer:R, Elkin EP, et al. Cumulative cost pattern comparison ofAn estimate of the annual direct cost of treating cutaneous
A BIOMASS-BASED MODEL TO ESTIMATE THE PLAUSIBILITY OF EXOPLANET BIOSIGNATURE GASES
Seager, Sara
Biosignature gas detection is one of the ultimate future goals for exoplanet atmosphere studies. We have created a framework for linking biosignature gas detectability to biomass estimates, including atmospheric photochemistry ...
Load Modeling and State Estimation Methods for Power Distribution Systems: Final Report
Tom McDermott
2010-05-07
The project objective was to provide robust state estimation for distribution systems, comparable to what has been available on transmission systems for decades. This project used an algorithm called Branch Current State Estimation (BCSE), which is more effective than classical methods because it decouples the three phases of a distribution system, and uses branch current instead of node voltage as a state variable, which is a better match to current measurement.
SU-E-J-01: 3D Fluoroscopic Image Estimation From Patient-Specific 4DCBCT-Based Motion Models
Dhou, S; Hurwitz, M; Lewis, J; Mishra, P
2014-06-01
Purpose: 3D motion modeling derived from 4DCT images, taken days or weeks before treatment, cannot reliably represent patient anatomy on the day of treatment. We develop a method to generate motion models based on 4DCBCT acquired at the time of treatment, and apply the model to estimate 3D time-varying images (referred to as 3D fluoroscopic images). Methods: Motion models are derived through deformable registration between each 4DCBCT phase, and principal component analysis (PCA) on the resulting displacement vector fields. 3D fluoroscopic images are estimated based on cone-beam projections simulating kV treatment imaging. PCA coefficients are optimized iteratively through comparison of these cone-beam projections and projections estimated based on the motion model. Digital phantoms reproducing ten patient motion trajectories, and a physical phantom with regular and irregular motion derived from measured patient trajectories, are used to evaluate the method in terms of tumor localization, and the global voxel intensity difference compared to ground truth. Results: Experiments included: 1) assuming no anatomic or positioning changes between 4DCT and treatment time; and 2) simulating positioning and tumor baseline shifts at the time of treatment compared to 4DCT acquisition. 4DCBCT were reconstructed from the anatomy as seen at treatment time. In case 1) the tumor localization error and the intensity differences in ten patient were smaller using 4DCT-based motion model, possible due to superior image quality. In case 2) the tumor localization error and intensity differences were 2.85 and 0.15 respectively, using 4DCT-based motion models, and 1.17 and 0.10 using 4DCBCT-based models. 4DCBCT performed better due to its ability to reproduce daily anatomical changes. Conclusion: The study showed an advantage of 4DCBCT-based motion models in the context of 3D fluoroscopic images estimation. Positioning and tumor baseline shift uncertainties were mitigated by the 4DCBCT-based motion models, while they caused errors when using 4DCT-based motion models. Partially funded by Varian research grant.
Byrd, Jimmy
2010-01-14
The purpose of the study was to examine multilevel regression models in the context of multilevel structural equation modeling (SEM) in terms of accuracy of parameter estimates, standard errors, and fit indices in normal ...
Parameter Estimation of Dynamic Air-conditioning Component Models Using Limited Sensor Data
Hariharan, Natarajkumar
2011-08-08
This thesis presents an approach for identifying critical model parameters in dynamic air-conditioning systems using limited sensor information. The expansion valve model and the compressor model parameters play a crucial ...
Fallon, Michael Brooks
2012-11-12
to assess the deformation demand on asymmetric offshore jacket platforms subject to wave and current loadings. The probabilistic model is constructed by adding correction terms and a model error to an existing deterministic deformation demand model...
Models for estimating saturation flow and maximum demand at closely spaced intersections
Nanduri, Sreelata
1995-01-01
This thesis describes models for saturation flow and maximum demand at closely spaced intersections. The effects of queue interaction between these two intersections are taken into account in both models. The saturation flow model is based...
Efficient Models for the Evaluation and Estimation of the Gravity Field
Born, George
models. Problem Cubed-Sphere Gravity Model Designed for Fast Evaluation Orbit Propagation/FORMOSAT-3 4 #12;The spherical harmonic gravity model dominates force model execution time 0 10 20 30 40 50 60 Two-Body + Overhead Precession Nutation Gravity (36x36) Lunar-Solar Drag SRP Jacobian (36x36
Richardson, Andrew D.
and earth system models, especially for long-term (multian- nual and greater) simulations. Data assimilation
USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING
~ is illustrated by developing a model that makes monthly forecasts of skipjack tuna, Katsuwonus pelamis, catches
Tang, Robert Y.; Laamanen, Curtis McDonald, Nancy; LeClair, Robert J.
2014-05-15
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.
Standardized Mean Differences for Complex Multilevel Models: Parametric and Nonparametric Estimation
Lai, Hok Chio
2015-06-02
that the degree of imbalance was quite strong. R 3.0.1 (R Core Team, 2013) was used to generate 500 data sets for each conditions, with µC••• = 0 and ?2W = 1.0. All random effects were normally distributed. The estimation of D1 and V (D1) was performed in R with ?...
Model-based PSF and MTF estimation and validation from skeletal clinical CT images
Pakdel, Amirreza; Mainprize, James G.; Robert, Normand; Fialkov, Jeffery; Whyne, Cari M.
2014-01-15
Purpose: A method was developed to correct for systematic errors in estimating the thickness of thin bones due to image blurring in CT images using bone interfaces to estimate the point-spread-function (PSF). This study validates the accuracy of the PSFs estimated using said method from various clinical CT images featuring cortical bones. Methods: Gaussian PSFs, characterized by a different extent in the z (scan) direction than in the x and y directions were obtained using our method from 11 clinical CT scans of a cadaveric craniofacial skeleton. These PSFs were estimated for multiple combinations of scanning parameters and reconstruction methods. The actual PSF for each scan setting was measured using the slanted-slit technique within the image slice plane and the longitudinal axis. The Gaussian PSF and the corresponding modulation transfer function (MTF) are compared against the actual PSF and MTF for validation. Results: The differences (errors) between the actual and estimated full-width half-max (FWHM) of the PSFs were 0.09 ± 0.05 and 0.14 ± 0.11 mm for the xy and z axes, respectively. The overall errors in the predicted frequencies measured at 75%, 50%, 25%, 10%, and 5% MTF levels were 0.06 ± 0.07 and 0.06 ± 0.04 cycles/mm for the xy and z axes, respectively. The accuracy of the estimates was dependent on whether they were reconstructed with a standard kernel (Toshiba's FC68, mean error of 0.06 ± 0.05 mm, MTF mean error 0.02 ± 0.02 cycles/mm) or a high resolution bone kernel (Toshiba's FC81, PSF FWHM error 0.12 ± 0.03 mm, MTF mean error 0.09 ± 0.08 cycles/mm). Conclusions: The method is accurate in 3D for an image reconstructed using a standard reconstruction kernel, which conforms to the Gaussian PSF assumption but less accurate when using a high resolution bone kernel. The method is a practical and self-contained means of estimating the PSF in clinical CT images featuring cortical bones, without the need phantoms or any prior knowledge about the scanner-specific parameters.
Garrison, M.; Gill, S.; Sherwell, J.
1999-07-01
The CALMET/CALPUFF modeling system has been used to estimate nitrogen deposition in an area surrounding Baltimore and the northern portion of the Chesapeake Bay. Comprehensive NO{sub x} emissions inventories and meteorological data bases have been developed to conduct the modeling. A previous study reported on an evaluation of predicted non-ammonia, inorganic nitrogen wet deposition rates compared to measured rates at two NADP/NTN sites in Maryland. This paper presents the results of an expanded evaluation of the performance of the modeling system. Data collected at a total of 38 monitoring stations located in or near the Chesapeake Bay Watershed, including NADP/NTN, CASTNET, and AIRS sites, have been used to conduct evaluations of the model's ability to predict concentrations of nitric acid, particulate nitrate, and NO{sub x} in addition to wet nitrate deposition. This expanded evaluation has allowed for the testing of additional model technical options in an attempt to improve the performance when compared to measured data. Results of this evaluation are expected to allow for better estimates of the impacts of nitrogen species formed from utility and other anthropogenic sources of NO{sub x} on the environment in Maryland.
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
variations of river water storage from a multiple satellite2007), Estimating ground water storage changes in theAnalysis of terrestrial water storage changes from GRACE and
Mohan, S; Kim, Y; Siegel, JB; Samad, NA; Stefanopoulou, AG
2014-09-19
A phenomenological model of the bulk force exerted by a lithium ion cell during various charge, discharge, and temperature operating conditions is developed. The measured and modeled force resembles the carbon expansion behavior associated with the phase changes during intercalation, as there are ranges of state of charge (SOC) with a gradual force increase and ranges of SOC with very small change in force. The model includes the influence of temperature on the observed force capturing the underlying thermal expansion phenomena. Moreover the model is capable of describing the changes in force during thermal transients, when internal battery heating due to high C-rates or rapid changes in the ambient temperature, which create a mismatch in the temperature of the cell and the holding fixture. It is finally shown that the bulk force model can be very useful for a more accurate and robust SOC estimation based on fusing information from voltage and force (or pressure) measurements. (C) The Author(s) 2014. Published by ECS. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives 4.0 License (CC BY-NC-ND, http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is not changed in any way and is properly cited. For permission for commercial reuse, please email oa@electrochem.org. All rights reserved.
Global oceanic rainfall estimation from AMSR-E data based on a radiative transfer model
Jin, Kyoung-Wook
2006-04-12
An improved physically-based rainfall algorithm was developed using AMSR-E data based on a radiative transfer model. In addition, error models were designed and embedded in the algorithm to assess retrieval errors ...
Pearce, Fred
2003-01-01
We use a 3-D finite difference numerical model to generate synthetic seismograms from a simple fractured reservoir
Eslinger, Paul W.; Friese, Judah I.; Lowrey, Justin D.; McIntyre, Justin I.; Miley, Harry S.; Schrom, Brian T.
2014-09-01
Abstract The International Monitoring System (IMS) of the Comprehensive-Nuclear-Test-Ban-Treaty monitors the atmosphere for radioactive xenon leaking from underground nuclear explosions. Emissions from medical isotope production represent a challenging background signal when determining whether measured radioxenon in the atmosphere is associated with a nuclear explosion prohibited by the treaty. The Australian Nuclear Science and Technology Organisation (ANSTO) operates a reactor and medical isotope production facility in Lucas Heights, Australia. This study uses two years of release data from the ANSTO medical isotope production facility and Xe-133 data from three IMS sampling locations to estimate the annual releases of Xe-133 from medical isotope production facilities in Argentina, South Africa, and Indonesia. Atmospheric dilution factors derived from a global atmospheric transport model were used in an optimization scheme to estimate annual release values by facility. The annual releases of about 6.8×1014 Bq from the ANSTO medical isotope production facility are in good agreement with the sampled concentrations at these three IMS sampling locations. Annual release estimates for the facility in South Africa vary from 1.2×1016 to 2.5×1016 Bq and estimates for the facility in Indonesia vary from 6.1×1013 to 3.6×1014 Bq. Although some releases from the facility in Argentina may reach these IMS sampling locations, the solution to the objective function is insensitive to the magnitude of those releases.
A Simple Model for Estimating Water Balance and Salinity of Reservoirs and Outflow
Miyamoto, S; Yuan, F; Anand, Shilpa
2010-08-23
storage and inflow information in advance of the actual release. A simple two-layer model is used to describe the reservoir processes. The second part addresses water and salt transport through semi-arid river channels. A routing model referred... part concerns with water and salt storage in the riparian zones. The models are coded in FORTRAN and are available upon request. The models were applied to the middle reach of the Pecos River (Malaga, New Mexico, to Girvin, Texas) and, to a limited...
Battery State Estimation for a Single Particle Model with Electrolyte Dynamics
Moura, Scott J; Bribiesca Argomedo, Federico; Klein, Reinhardt; Mirtabatabaei, Anahita; Krstic, Miroslav
2015-01-01
and G. Fiengo, “Lithium-Ion Battery State of Charge andestimation of the lithium-ion battery using an adaptiveelectrochemical model for lithium ion battery on electric
Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect
Everingham, Mark
on the popular pictorial structure model (PSM) [8]. Fig. 1 outlines our proposal: using the PSM we infer 2D human
Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals
Coudière, Yves
-to-access measurements on a patient: the ECG (Electrocardiogram), and a time sequence of volumetric ultrasound images pump induced by weakened cardiac contractility resulting in increased local wall thickness
Method Comparison For Estimation Of Distributed Parameters In Permittivity Models Using Reflectance
;1 Introduction There is a current interest in the integration of ceramic matrix composites (CMCs) for both static matrix composites. In order to model the reflectance, one must specify a model for the complex have hypothesized that as the CMC under study (a ceramic matrix with a silicon carbide fiber
Distributed Estimation Distributed Estimation
Gupta, Vijay
with a Star Topology 2 2.1 Static Sensor Fusion . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1.1 Combining Estimators . . . . . . . . . . . . . . . . . . . . 3 2.1.2 Static Sensor Fusion for Star Topology;Distributed Estimation 3 Non-Ideal Networks with Star Topology 10 3.1 Sensor Fusion in Presence of Message
Testing of a model to estimate vapor concentration of various organic chemicals. Master's thesis
Bakalyar, S.M.
1990-01-01
A model developed by Dr. Parker C. Reist to predict the build-up and decay rates of vapor concentrations following a chemical spill and clean-up was tested. The chemicals tested were: acetone, butyl acetate, ethyl acetate, hexane, methylene chloride, methyl ethyl ketone, and toluene. The evaporation rates of these chemicals were determined both by prediction, using a model developed by I. Kawamura and D. Mackay, and empirically and these rates were used in the Reist model. Chamber experiments were done to measure actual building-up and decay of vapor concentrations for simulated spills and simulated clean-up.
Hayes, Daniel J [ORNL; Turner, David P [Oregon State University, Corvallis; Stinson, Graham [Pacific Forestry Centre, Canadian Forest Service; Mcguire, David [University of Alaska; Wei, Yaxing [ORNL; West, Tristram O. [Joint Global Change Research Institute, PNNL; Heath, Linda S. [USDA Forest Service; De Jong, Bernardus [ECOSUR; McConkey, Brian G. [Agriculture and Agri-Food Canada; Birdsey, Richard A. [U.S. Department of Agriculture Forest Service; Kurz, Werner [Canadian Forest Service; Jacobson, Andrew [NOAA ESRL and CIRES; Huntzinger, Deborah [University of Michigan; Pan, Yude [U.S. Department of Agriculture Forest Service; Post, Wilfred M [ORNL; Cook, Robert B [ORNL
2012-01-01
We develop an approach for estimating net ecosystem exchange (NEE) using inventory-based information over North America (NA) for a recent 7-year period (ca. 2000 2006). The approach notably retains information on the spatial distribution of NEE, or the vertical exchange between land and atmosphere of all non-fossil fuel sources and sinks of CO2, while accounting for lateral transfers of forest and crop products as well as their eventual emissions. The total NEE estimate of a 327 252 TgC yr1 sink for NA was driven primarily by CO2 uptake in the Forest Lands sector (248 TgC yr1), largely in the Northwest and Southeast regions of the US, and in the Crop Lands sector (297 TgC yr1), predominantly in the Midwest US states. These sinks are counteracted by the carbon source estimated for the Other Lands sector (+218 TgC yr1), where much of the forest and crop products are assumed to be returned to the atmosphere (through livestock and human consumption). The ecosystems of Mexico are estimated tobe a small net source (+18 TgC yr1) due to land use change between 1993 and 2002. We compare these inventorybased estimates with results from a suite of terrestrial biosphere and atmospheric inversion models, where the mean continental-scale NEE estimate for each ensemble is 511 TgC yr1 and 931 TgC yr1, respectively. In the modeling approaches, all sectors, including Other Lands, were generally estimated to be a carbon sink, driven in part by assumed CO2 fertilization and/or lack of consideration of carbon sources from disturbances and product emissions. Additional fluxes not measured by the inventories, although highly uncertain, could add an additional 239 TgC yr1 to the inventory-based NA sink estimate, thus suggesting some convergence with the modeling approaches.
Peinke, Joachim
Stochastic model for indirect estimation of instantaneous and cumulative loads in wind turbines present our recent findings for estimating instantaneous and cumulative loads in singles wind turbines at single wind turbines, driven by wind speed measurements. Through a standard fatigue analysis of data
Seismic scattering attributes to estimate reservoir fracture density : a numerical modeling study
Pearce, Frederick D. (Frederick Douglas), 1978-
2003-01-01
We use a 3-D finite difference numerical model to generate synthetic seismograms from a simple fractured reservoir containing evenly-spaced, discrete, vertical fracture zones. The fracture zones are represented using a ...
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Braatz, Richard D.
Many researchers have worked to develop methods to analyze and characterize capacity fade in lithium-ion batteries. As a complement to approaches to mathematically model capacity fade that require detailed understanding ...
Bakhtiary, Esmaeel
2013-01-15
This thesis presents a probability model to predict the maximum rotation of rocking bodies exposed to seismic excitations given specific earthquake intensity measures. After obtaining the nonlinear equations of motion and clarification...
On-line Hydraulic State Estimation in Urban Water Networks Using Reduced Models
Preis, Ami
A Predictor-Corrector (PC) approach for on-line forecasting of water usage in an urban water system is presented and demonstrated. The M5 Model-Trees algorithm is used to predict water demands and Genetic Algorithms (GAs) ...
Efficient Bayesian estimates for discrimination among topologically different systems biology models
Hagen, David Robert
A major effort in systems biology is the development of mathematical models that describe complex biological systems at multiple scales and levels of abstraction. Determining the topology—the set of interactions—of a ...
Seismic Scattering Attributes to Estimate Reservoir Fracture Density: A Numerical Modeling Study
Pearce, Frederick Douglas
We use a 3-D finite difference numerical model to generate synthetic seismograms from a simple fractured reservoir containing evenly-spaced, discrete, vertical fracture zones. The fracture zones are represented using a ...
A comparative study of analytical models to estimate the LNAPL mound formation
Ahmed, Ashfaq
1994-01-01
developed. Even though these models are based on various as- sumptions, they are useful as tools in evaluating the spreading of the free oil phase during sn oil spill. The spreading depends on many factors, such as leak volume, type of petroleum product..., hydrogeological conditions, and hydraulic properties of the medium as well as the oil. Among the various modeling approaches to predict spill migration, the sharp interface approach has been widely examined due to its simplicity for homogeneous media...
Thompson, R. L.
This study examines N[subscript 2]O emission estimates from five different atmospheric inversion frameworks based on chemistry transport models (CTMs). The five frameworks differ in the choice of CTM, meteorological data, ...
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.
Computational Methods for Estimation in the Modeling of Nonlinear Elastomers \\Lambda
vibration suppression devices. Materials such as elastomers, rubberlike composites typically filled and springs. One could imagine using active fillers, such as piezoelectric, magnetic, or conductive particles [12, 16, 19, 20]). Some of these models are based on the statistical molecular theory of polymers
costs. · HOMER https://analysis.nrel.gov/homer/ Simplifies the task of evaluating design options for off-grid and grid-connected power systems. #12;· Hybrid Power System Simulation Model http types of electrical loads, multiple wind turbines of different types, photovoltaics, multiple diesel
Estimation of Parameters for Single Diode Models Using Measured IV Clifford W. Hansen
. In contrast, module testing frequently records IV curves at a wide range of irradiance and temperature is a popular way to represent the electrical performance of a photovoltaic (PV) module. A single diode model]) and is often interpreted by an equivalent circuit comprising a current source, a diode, a parallel resistor
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
spatially variable water and energy balance processes, Waterdistributed land surface water and energy balance model, J.
Beasley, Ryan A.
Robot assistance can enhance minimally invasive image-guided surgery, but flexion of the thin surgical instrument shaft impairs accurate control by creating errors in the kinematic model. Two controller enhancements that ...
Measuring and Modeling Fault Density for Plume-Fault Encounter Probability Estimation
Jordan, P.D.; Oldenburg, C.M.; Nicot, J.-P.
2011-05-15
Emission of carbon dioxide from fossil-fueled power generation stations contributes to global climate change. Storage of this carbon dioxide within the pores of geologic strata (geologic carbon storage) is one approach to mitigating the climate change that would otherwise occur. The large storage volume needed for this mitigation requires injection into brine-filled pore space in reservoir strata overlain by cap rocks. One of the main concerns of storage in such rocks is leakage via faults. In the early stages of site selection, site-specific fault coverages are often not available. This necessitates a method for using available fault data to develop an estimate of the likelihood of injected carbon dioxide encountering and migrating up a fault, primarily due to buoyancy. Fault population statistics provide one of the main inputs to calculate the encounter probability. Previous fault population statistics work is shown to be applicable to areal fault density statistics. This result is applied to a case study in the southern portion of the San Joaquin Basin with the result that the probability of a carbon dioxide plume from a previously planned injection had a 3% chance of encountering a fully seal offsetting fault.
Girani, Joseph
2014-04-17
_rr, showing a suction vacuum increase throughout the test. ........................................................................................... 44 Figure 20. Photo sequence showing the effects of slowing the pump and closing discharge valve to clear... River and the Red Sea (Herbich, 1992). Since then, this process has been developed to use a multitude of hydraulic and mechanical systems. Specifically, a cutter at the end of the suction pipe loosens or cuts the sediment and the centrifugal pump...
Quantitative Modeling and Estimation in Systems Biology using Fluorescent Reporter Systems
Bansal, Loveleena
2013-12-10
FIM Fischer Information Matrix FP Fluorescent Protein GFP Green Fluorescent Protein GLS Generalized Least Squares IBVP Intital Boundary Value Problem IL-6 Interleukin-6 IPDE Integro Partial Differential Equation LHS Latin Hypercube... Sampling MSE Mean Squared Error nM Nano Molar O.D. Optical Density ODE Ordinary Differential Equation PBE Population Balance Equation PBM Population Balance Model RE Relative Error S.D. Standard Deviation STAT3 Signal transducer...
Deng, Zhiqun; Carlson, Thomas J.; Ploskey, Gene R.; Richmond, Marshall C.
2005-11-30
BioIndex testing of hydro-turbines is sought as an analog to the hydraulic index testing conducted on hydro-turbines to optimize their power production efficiency. In BioIndex testing the goal is to identify those operations within the range identified by Index testing where the survival of fish passing through the turbine is maximized. BioIndex testing includes the immediate tailrace region as well as the turbine environment between a turbine's intake trashracks and the exit of its draft tube. The US Army Corps of Engineers and the Department of Energy have been evaluating a variety of means, such as numerical and physical turbine models, to investigate the quality of flow through a hydro-turbine and other aspects of the turbine environment that determine its safety for fish. The goal is to use these tools to develop hypotheses identifying turbine operations and predictions of their biological performance that can be tested at prototype scales. Acceptance of hypotheses would be the means for validation of new operating rules for the turbine tested that would be in place when fish were passing through the turbines. The overall goal of this project is to evaluate the performance of numerical blade strike models as a tool to aid development of testable hypotheses for bioIndexing. Evaluation of the performance of numerical blade strike models is accomplished by comparing predictions of fish mortality resulting from strike by turbine runner blades with observations made using live test fish at mainstem Columbia River Dams and with other predictions of blade strike made using observations of beads passing through a 1:25 scale physical turbine model.
Aagaard, B; Brocher, T; Dreger, D; Frankel, A; Graves, R; Harmsen, S; Hartzell, S; Larsen, S; McCandless, K; Nilsson, S; Petersson, N A; Rodgers, A; Sjogreen, B; Tkalcic, H; Zoback, M L
2007-02-09
We estimate the ground motions produced by the 1906 San Francisco earthquake making use of the recently developed Song et al. (2008) source model that combines the available geodetic and seismic observations and recently constructed 3D geologic and seismic velocity models. Our estimates of the ground motions for the 1906 earthquake are consistent across five ground-motion modeling groups employing different wave propagation codes and simulation domains. The simulations successfully reproduce the main features of the Boatwright and Bundock (2005) ShakeMap, but tend to over predict the intensity of shaking by 0.1-0.5 modified Mercalli intensity (MMI) units. Velocity waveforms at sites throughout the San Francisco Bay Area exhibit characteristics consistent with rupture directivity, local geologic conditions (e.g., sedimentary basins), and the large size of the event (e.g., durations of strong shaking lasting tens of seconds). We also compute ground motions for seven hypothetical scenarios rupturing the same extent of the northern San Andreas fault, considering three additional hypocenters and an additional, random distribution of slip. Rupture directivity exerts the strongest influence on the variations in shaking, although sedimentary basins do consistently contribute to the response in some locations, such as Santa Rosa, Livermore, and San Jose. These scenarios suggest that future large earthquakes on the northern San Andreas fault may subject the current San Francisco Bay urban area to stronger shaking than a repeat of the 1906 earthquake. Ruptures propagating southward towards San Francisco appear to expose more of the urban area to a given intensity level than do ruptures propagating northward.
Efficient Semiparametric Estimators for Nonlinear Regressions and Models under Sample Selection Bias
Kim, Mi Jeong
2012-10-19
.0080 10.0107 0.0075 0.0076 2 = 0:6 -0.5999 1.42e 4 -0.5999 7.96e 5 8.09e 5 -0.6001 8.73e 5 7.85e 5 1 = 1 1.0379 0.0578 0.0555 1.0395 0.0632 0.0618 2 = 0:1 0.0959 6.36e 4 5.77e 4 0.0963 7.39e 4 5.15e 4 Growth model 1 = 10 10.0040 0.0258 10.0062 0...
Estimating market power in homogeneous product markets using a composed error model
Orea, Luis; Steinbuks, Jevgenijs
2012-04-25
for assisting us with computation of residual demand elasticities based on PX bidding data. We also thank David Newbery, Jacob LaRiviere, Mar Reguant, the anonymous reviewer, and the participants of the 3rd International Workshop on Empirical Methods in Energy... that variation in the error term is an exponential function of an intercept term, the day-ahead forecast of total demand and its square (i.e., FQ, FQ2), that are included in the model in order to capture possible demand-size effects, and a vector of days...
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Medeiros, Stephen; Hagen, Scott; Weishampel, John; Angelo, James
2015-03-25
Digital elevation models (DEMs) derived from airborne lidar are traditionally unreliable in coastal salt marshes due to the inability of the laser to penetrate the dense grasses and reach the underlying soil. To that end, we present a novel processing methodology that uses ASTER Band 2 (visible red), an interferometric SAR (IfSAR) digital surface model, and lidar-derived canopy height to classify biomass density using both a three-class scheme (high, medium and low) and a two-class scheme (high and low). Elevation adjustments associated with these classes using both median and quartile approaches were applied to adjust lidar-derived elevation values closer tomore »true bare earth elevation. The performance of the method was tested on 229 elevation points in the lower Apalachicola River Marsh. The two-class quartile-based adjusted DEM produced the best results, reducing the RMS error in elevation from 0.65 m to 0.40 m, a 38% improvement. The raw mean errors for the lidar DEM and the adjusted DEM were 0.61 ± 0.24 m and 0.32 ± 0.24 m, respectively, thereby reducing the high bias by approximately 49%.« less
Greenblatt, Jeffery B.
2013-10-10
A California Greenhouse Gas Inventory Spreadsheet (GHGIS) model was developed to explore the impact of combinations of state policies on state greenhouse gas (GHG) and regional criteria pollutant emissions. The model included representations of all GHG- emitting sectors of the California economy (including those outside the energy sector, such as high global warming potential gases, waste treatment, agriculture and forestry) in varying degrees of detail, and was carefully calibrated using available data and projections from multiple state agencies and other sources. Starting from basic drivers such as population, numbers of households, gross state product, numbers of vehicles, etc., the model calculated energy demands by type (various types of liquid and gaseous hydrocarbon fuels, electricity and hydrogen), and finally calculated emissions of GHGs and three criteria pollutants: reactive organic gases (ROG), nitrogen oxides (NOx), and fine (2.5 ?m) particulate matter (PM2.5). Calculations were generally statewide, but in some sectors, criteria pollutants were also calculated for two regional air basins: the South Coast Air Basin (SCAB) and the San Joaquin Valley (SJV). Three scenarios were developed that attempt to model: (1) all committed policies, (2) additional, uncommitted policy targets and (3) potential technology and market futures. Each scenario received extensive input from state energy planning agencies, in particular the California Air Resources Board. Results indicate that all three scenarios are able to meet the 2020 statewide GHG targets, and by 2030, statewide GHG emissions range from between 208 and 396 MtCO2/yr. However, none of the scenarios are able to meet the 2050 GHG target of 85 MtCO2/yr, with emissions ranging from 188 to 444 MtCO2/yr, so additional policies will need to be developed for California to meet this stringent future target. A full sensitivity study of major scenario assumptions was also performed. In terms of criteria pollutants, targets were less well-defined, but while all three scenarios were able to make significant reductions in ROG, NOx and PM2.5 both statewide and in the two regional air basins, they may nonetheless fall short of what will be required by future federal standards. Specifically, in Scenario 1, regional NOx emissions are approximately three times the estimated targets for both 2023 and 2032, and in Scenarios 2 and 3, NOx emissions are approximately twice the estimated targets. Further work is required in this area, including detailed regional air quality modeling, in order to determine likely pathways for attaining these stringent targets.
Meyer, Philip D.; Ye, Ming; Rockhold, Mark L.; Neuman, Shlomo P.; Cantrell, Kirk J.
2007-07-30
This report to the Nuclear Regulatory Commission (NRC) describes the development and application of a methodology to systematically and quantitatively assess predictive uncertainty in groundwater flow and transport modeling that considers the combined impact of hydrogeologic uncertainties associated with the conceptual-mathematical basis of a model, model parameters, and the scenario to which the model is applied. The methodology is based on a n extension of a Maximum Likelihood implementation of Bayesian Model Averaging. Model uncertainty is represented by postulating a discrete set of alternative conceptual models for a site with associated prior model probabilities that reflect a belief about the relative plausibility of each model based on its apparent consistency with available knowledge and data. Posterior model probabilities are computed and parameter uncertainty is estimated by calibrating each model to observed system behavior; prior parameter estimates are optionally included. Scenario uncertainty is represented as a discrete set of alternative future conditions affecting boundary conditions, source/sink terms, or other aspects of the models, with associated prior scenario probabilities. A joint assessment of uncertainty results from combining model predictions computed under each scenario using as weight the posterior model and prior scenario probabilities. The uncertainty methodology was applied to modeling of groundwater flow and uranium transport at the Hanford Site 300 Area. Eight alternative models representing uncertainty in the hydrogeologic and geochemical properties as well as the temporal variability were considered. Two scenarios represent alternative future behavior of the Columbia River adjacent to the site were considered. The scenario alternatives were implemented in the models through the boundary conditions. Results demonstrate the feasibility of applying a comprehensive uncertainty assessment to large-scale, detailed groundwater flow and transport modeling and illustrate the benefits of the methodology I providing better estimates of predictive uncertiay8, quantitative results for use in assessing risk, and an improved understanding of the system behavior and the limitations of the models.
Cohen, N. [New York Univ. Medical Center, Tuxedo, NY (United States). Dept. of Environmental Medicine
1989-03-15
A Polonium metabolic model was derived and incorporated into a Fortran algorithm which estimates the systemic radiation dose from {sup 210}Po when applied to occupational urine bioassay data. The significance of the doses estimated are examined by defining the degree of uncertainty attached to them through comprehensive statistical testing procedures. Many parameters necessary for dosimetry calculations (such as organ partition coefficients and excretion fractions), were evaluated from metabolic studies of {sup 210}Po in non-human primates. Two tamarins and six baboons were injected intravenously with {sup 210}Po citrate. Excreta and blood samples were collected. Five of the baboons were sacrificed at times ranging from 1 day to 3 months post exposure. Complete necropsies were performed and all excreta and the majority of all skeletal and tissue samples were analyzed radiochemically for their {sup 210}Po content. The {sup 210}Po excretion rate in the baboon was more rapid than in the tamarin. The biological half-time of {sup 210}Po excretion in the baboon was approximately 15 days while in the tamarin, the {sup 210}Po excretion rate was in close agreement with the 50 day biological half-time predicted by ICRP 30. Excretion fractions of {sup 210}Po in the non-human primates were found to be markedly different from data reported elsewhere in other species, including man. A thorough review of the Po urinalysis procedure showed that significant recovery losses resulted when metabolized {sup 210}Po was deposited out of raw urine. Polonium-210 was found throughout the soft tissues of the baboon but not with the partition coefficients for liver, kidneys, and spleen that are predicted by the ICRP 30 metabolic model. A fractional distribution of 0.29 for liver, 0.07 for kidneys, and 0.006 for spleen was determined. Retention times for {sup 210}Po in tissues are described by single exponential functions with biological half-times ranging from 15 to 50 days.
Estimates of frequency-dependent compressibility from a quasistatic double-porosity model
Berryman, J. G.; Wang, H. F.
1998-09-16
Gassmann's relationship between the drained and undrained bulk modulus of a porous medium is often used to relate the dry bulk modulus to the saturated bulk modulus for elastic waves, because the compressibility of air is considered so high that the dry rock behaves in a drained fashion and the frequency of elastic waves is considered so high that the saturated rock behaves in an undrained fashion. The bulk modulus calculated from ultrasonic velocities, however, often does not match the Gassmann prediction. Mavko and Jizba examined how local flow effects and unequilibrated pore pressures can lead to greater stiffnesses. Their conceptual model consists of a distribution of porosities obtained from the strain-versus-confining-pressure behavior. Stiff pores that close at higher confining pressures are considered to remain undrained (unrelaxed) while soft pores drain even for high-frequency stress changes. If the pore shape distribution is bimodal, then the rock approximately satisfies the assumptions of a double-porosity, poroelastic material. Berryman and Wang [1995] established linear constitutive equations and identified four different time scales of ow behavior: (1) totally drained, (2) soft pores are drained but stiff pores are undrained, (3) soft and stiff pores are locally equilibrated, but undrained beyond the grain scale, and (4) both soft and stiff pores are undrained. The relative magnitudes of the four associated bulk moduli will be examined for all four moduli and illustrated for several sandstones.
{\\sc CosmoNet}: fast cosmological parameter estimation in non-flat models using neural networks
T. Auld; M. Bridges; M. P. Hobson
2007-03-16
We present a further development of a method for accelerating the calculation of CMB power spectra, matter power spectra and likelihood functions for use in cosmological Bayesian inference. The algorithm, called {\\sc CosmoNet}, is based on training a multilayer perceptron neural network. We compute CMB power spectra (up to $\\ell=2000$) and matter transfer functions over a hypercube in parameter space encompassing the $4\\sigma$ confidence region of a selection of CMB (WMAP + high resolution experiments) and large scale structure surveys (2dF and SDSS). We work in the framework of a generic 7 parameter non-flat cosmology. Additionally we use {\\sc CosmoNet} to compute the WMAP 3-year, 2dF and SDSS likelihoods over the same region. We find that the average error in the power spectra is typically well below cosmic variance for spectra, and experimental likelihoods calculated to within a fraction of a log unit. We demonstrate that marginalised posteriors generated with {\\sc CosmoNet} spectra agree to within a few percent of those generated by {\\sc CAMB} parallelised over 4 CPUs, but are obtained 2-3 times faster on just a \\emph{single} processor. Furthermore posteriors generated directly via {\\sc CosmoNet} likelihoods can be obtained in less than 30 minutes on a single processor, corresponding to a speed up of a factor of $\\sim 32$. We also demonstrate the capabilities of {\\sc CosmoNet} by extending the CMB power spectra and matter transfer function training to a more generic 10 parameter cosmological model, including tensor modes, a varying equation of state of dark energy and massive neutrinos. {\\sc CosmoNet} and interfaces to both {\\sc CosmoMC} and {\\sc Bayesys} are publically available at {\\tt www.mrao.cam.ac.uk/software/cosmonet}.
Chamberlain, Travis L.; Dickerson, Sarah; Ravenhill, Scott D.; Murray, Allan; Morris, Frederic A.; Herdes, Gregory A.
2009-10-07
In 2004, Australia, through the Australian Nuclear Science and Technology Organisation (ANSTO), created the Regional Security of Radioactive Sources (RSRS) project and partnered with the U.S. Department of Energy’s Global Threat Reduction Initiative (GTRI) and the International Atomic Energy Agency (IAEA) to form the Southeast Asian Regional Radiological Security Partnership (RRSP). The intent of the RRSP is to cooperate with countries in Southeast Asia to improve the security of their radioactive sources. This Southeast Asian Partnership supports objectives to improve the security of high risk radioactive sources by raising awareness of the need and developing national programs to protect and control such materials, improve the security of such materials, and recover and condition the materials no longer in use. The RRSP has utilized many tools to meet those objectives including: provision of physical protection upgrades, awareness training, physical protection training, regulatory development, locating and recovering orphan sources, and most recently - development of model security procedures at a model facility. This paper discusses the benefits of establishing a model facility, the methods employed by the RRSP, and three of the expected outcomes of the Model Facility approach. The first expected outcome is to increase compliance with source security guidance materials and national regulations by adding context to those materials, and illustrating their impact on a facility. Second, the effectiveness of each of the tools above is increased by making them part of an integrated system. Third, the methods used to develop the model procedures establishes a sustainable process that can ultimately be transferred to all facilities beyond the model. Overall, the RRSP has utilized the Model Facility approach as an important tool to increase the security of radioactive sources, and to position facilities and countries for the long term secure management of those sources.
Hale, Steve
2013-09-11
Abstract The National Center for Manufacturing Sciences (NCMS) worked with the U.S. Department of Energy (DOE), National Energy Technology Laboratory (NETL), to bring together research and development (R&D) collaborations to develop and accelerate the knowledgebase and infrastructure for lightweighting materials and manufacturing processes for their use in structural and applications in the automotive sector. The purpose/importance of this DOE program: • 2016 CAFÉ standards. • Automotive industry technology that shall adopt the insertion of lightweighting material concepts towards manufacturing of production vehicles. • Development and manufacture of advanced research tools for modeling and simulation (M&S) applications to reduce manufacturing and material costs. • U.S. competitiveness that will help drive the development and manufacture of the next generation of materials. NCMS established a focused portfolio of applied R&D projects utilizing lightweighting materials for manufacture into automotive structures and components. Areas that were targeted in this program: • Functionality of new lightweighting materials to meet present safety requirements. • Manufacturability using new lightweighting materials. • Cost reduction for the development and use of new lightweighting materials. The automotive industry’s future continuously evolves through innovation, and lightweight materials are key in achieving a new era of lighter, more efficient vehicles. Lightweight materials are among the technical advances needed to achieve fuel/energy efficiency and reduce carbon dioxide (CO2) emissions: • Establish design criteria methodology to identify the best materials for lightweighting. • Employ state-of-the-art design tools for optimum material development for their specific applications. • Match new manufacturing technology to production volume. • Address new process variability with new production-ready processes.
Increasing carbon storage in intact African tropical forests
Malhi, Yadvinder
to predictions of future levels of atmospheric carbon dioxide1,2 . The role of tropical forests is critical dioxide concentrations, may be the cause of the increase in carbon stocks13 , as some theory14 and models2 with estimates of fossil fuel emissions, ocean carbon fluxes and carbon released from land-use change, indicate
Brioude, J.; Kim, S. W.; Angevine, Wayne M.; Frost, G. J.; Lee, S. H.; McKeen, S. A.; Trainer, Michael; Fehsenfeld, Fred C.; Holloway, J. S.; Ryerson, T. B.; Williams, E. J.; Petron, Gabrielle; Fast, Jerome D.
2011-10-31
The 2000 and 2006 Texas Air Quality Study (TexAQS 2000 and 2006) field campaigns took place in eastern Texas in August-October of 2000 and 2006. Several flights of the National Oceanic and Atmospheric Administration (NOAA) and National Center for Atmospheric Research (NCAR) research aircraft were dedicated to characterizing anthropogenic emissions over Houston. Houston is known for having serious problems with non-attainment of air quality standards. We present a method that uses three models and aircraft observations to assess and improve existing emission inventories using an inverse modeling technique. We used 3-dimensional and 4-dimensional variational (3D-VAR and 4D-VAR) inverse modeling techniques based on a least-squares method to improve the spatial and temporal distribution of CO, NOy (sum of all reactive nitrogen compounds), and SO2 emissions predicted by the 4-km-resolution U.S. Environmental Protection Agency (EPA) National Emission Inventory (NEI) for 2005. Differences between the prior and posterior inventories are discussed in detail. We found that in 2006 the prior daytime emissions in the urban area of Houston have to be reduced by 40% {+-} 12% for CO and 7% {+-} 13% for NOy. Over the Houston Ship Channel, where industrial emissions are predominant, the prior emissions have to be reduced by 41% {+-} 15% for CO and 51% {+-} 9% for NOy. Major ports around Houston have their NOy emissions reduced as well, probably due to uncertainties in near-shore ship emissions in the EPA NEI inventory. Using the measurements from the two field campaigns, we assessed the interannual emission variability between 2000 and 2006. Daytime CO emissions from the Houston urban area have been reduced by 8% {+-} 20%, while the NOy emissions have increased by 20% {+-} 12% from 2000 to 2006. In the Houston Ship Channel, the daytime NOy emissions have increased by 13% {+-} 17%. Our results show qualitative consistencies with known changes in Houston emissions sources.
Eslinger, Paul W. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Biegalski, S. [Univ. of Texas at Austin, TX (United States); Bowyer, Ted W. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Cooper, Matthew W. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Haas, Derek A. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Hayes, James C. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Hoffman, Ian [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Korpach, E. [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Yi, Jing [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Miley, Harry S. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Rishel, Jeremy P. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Ungar, R. Kurt [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); White, Brian [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Woods, Vincent T. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
2014-01-01
Systems designed to monitor airborne radionuclides released from underground nuclear explosions detected radioactive fallout from the Fukushima Daiichi nuclear accident in March 2011. Atmospheric transport modeling (ATM) of plumes of noble gases and particulates were performed soon after the accident to determine plausible detection locations of any radioactive releases to the atmosphere. We combine sampling data from multiple International Modeling System (IMS) locations in a new way to estimate the magnitude and time sequence of the releases. Dilution factors from the modeled plume at five different detection locations were combined with 57 atmospheric concentration measurements of 133-Xe taken from March 18 to March 23 to estimate the source term. This approach estimates that 59% of the 1.24×1019 Bq of 133-Xe present in the reactors at the time of the earthquake was released to the atmosphere over a three day period. Source term estimates from combinations of detection sites have lower spread than estimates based on measurements at single detection sites. Sensitivity cases based on data from four or more detection locations bound the source term between 35% and 255% of available xenon inventory.
Zhang, Xuesong; Sahajpal, Ritvik; Manowitz, D.; Zhao, Kaiguang; LeDuc, Stephen D.; Xu, Min; Xiong, Wei; Zhang, Aiping; Izaurralde, Roberto C.; Thomson, Allison M.; West, Tristram O.; Post, W. M.
2014-05-01
The development of effective measures to stabilize atmospheric CO2 concentration and mitigate negative impacts of climate change requires accurate quantification of the spatial variation and magnitude of the terrestrial carbon (C) flux. However, the spatial pattern and strength of terrestrial C sinks and sources remain uncertain. In this study, we designed a spatially-explicit agroecosystem modeling system by integrating the Environmental Policy Integrated Climate (EPIC) model with multiple sources of geospatial and surveyed datasets (including crop type map, elevation, climate forcing, fertilizer application, tillage type and distribution, and crop planting and harvesting date), and applied it to examine the sensitivity of cropland C flux simulations to two widely used soil databases (i.e. State Soil Geographic-STATSGO of a scale of 1:250,000 and Soil Survey Geographic-SSURGO of a scale of 1:24,000) in Iowa, USA. To efficiently execute numerous EPIC runs resulting from the use of high resolution spatial data (56m), we developed a parallelized version of EPIC. Both STATSGO and SSURGO led to similar simulations of crop yields and Net Ecosystem Production (NEP) estimates at the State level. However, substantial differences were observed at the county and sub-county (grid) levels. In general, the fine resolution SSURGO data outperformed the coarse resolution STATSGO data for county-scale crop-yield simulation, and within STATSGO, the area-weighted approach provided more accurate results. Further analysis showed that spatial distribution and magnitude of simulated NEP were more sensitive to the resolution difference between SSURGO and STATSGO at the county or grid scale. For over 60% of the cropland areas in Iowa, the deviations between STATSGO- and SSURGO-derived NEP were larger than 1MgCha(-1)yr(-1), or about half of the average cropland NEP, highlighting the significant uncertainty in spatial distribution and magnitude of simulated C fluxes resulting from differences in soil data resolution.
McKone, Thomas E.; Maddalena, Randy L.
2008-01-01
of polychlorinated dibenzo-p-dioxins and dibenzofurans totetrachlorodibenzo-p-dioxin (tcdd) and related compoundsI: Estimating exposure to dioxin-like compounds. Volume 2:
Peng, Huei
A Unified Open-Circuit-Voltage Model of Lithium-ion Batteries for State-of-Charge Estimation. Keywords: Electric vehicles, Lithium-ion batteries, Open-Circuit-Voltage, State-of-Charge, State is widely used for characterizing battery properties under different conditions. It contains important
Berlin,Technische Universität
DEWEK Wind Energy Conference 2012 Category: 4. Simulation models 1 BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND TURBINES Dipl.-Ing. René Kamieth, Prof. Dr, Germany, Tel.: +49-(0)30-314-23603, Fax: +49-(0)30-314-26131 Summary Wind turbines built in the last
Jamieson, Bruce
be used to measure incoming solar radiation, but they are not common due to cost and maintenance issuesA SOLAR WARMING MODEL (SWarm) TO ESTIMATE DIURNAL CHANGES IN NEAR-SURFACE SNOWPACK TEMPERATURES. To facilitate use in large forecast areas where representative meteorological data are typically scarce
Ewain Gwynne; Xin Sun
2015-05-13
We continue our study of the inventory accumulation introduced by Sheffield (2011), which encodes a random planar map decorated by a collection of loops sampled from the critical Fortuin-Kastelyn (FK) model. We prove various "local" estimates for the inventory accumulation model, i.e.\\ estimates for the precise number of symbols of a given type in a word sampled from the model. Using our estimates, we obtain the scaling limit of the associated two-dimensional random walk conditioned on the event that it stays in the first quadrant for one unit of time and ends up at a particular position in the interior of the first quadrant. We also obtain the exponent for the probability that a word of length $2n$ sampled from the inventory accumulation model corresponds to an empty reduced word. The estimates of this paper will be used in a subsequent paper to obtain the scaling limit of the random walk associated with a finite-volume FK planar map.
Dominici, Francesca
Abstract In air pollution epidemiology, improvements in statistical analysis tools can translate for confounding. In studies of air pollution and health, the focus should ideally be on estimating health effects estimate the association between prenatal and lifetime exposures to air pollutants and pulmonary function
Chen, Jinsong
non-economic and economic gas saturation because electrical resistivity of reservoir materialsJoint inversion of seismic AVO and EM data for gas saturation estimation using a sampling- based is developed to estimate gas saturation and porosity using seismic AVO and EM data. Markov chain Monte Carlo
Chen, Jinsong
Joint inversion of 2D or 3D seismic and EM data for reservoir parameter estimation is computationallyEstimating reservoir parameters from seismic and electromagnetic data using stochastic rock, and pore pressure in reservoirs using seismic and electromagnetic (EM) data. Within the Bayesian framework
Chamroukhi, Faicel
of fuel cell life time Raïssa Onanena(1) , Faicel Chamroukhi(1) , Latifa Oukhellou(1)(2) , Denis Candusso to estimate fuel cell duration time from electrochemical impedance spectroscopy measurements. It consists for the estimation of fuel cell time duration. The performances of the proposed approach are evaluated
Chamroukhi, Faicel
of Fuel Cell lifetime Raïssa Onanena(1), Faicel Chamroukhi(1), Latifa Oukhellou(1), Denis Candusso(1 A probabilistic approach Parameter estimation 3 Fuel Cell lifetime estimation 4 Conclusion Faicel Chamroukhi maintenance of the Fuel Cells (FCs) Fuel Cells (FCs) are widely used in many domains including transport
Distributed Road Grade Estimation
Johansson, Karl Henrik
Distributed Road Grade Estimation for Heavy Duty Vehicles PER SAH LHOLM Doctoral Thesis in Automatic Control Stockholm, Sweden 2011 #12;Distributed Road Grade Estimation for Heavy Duty Vehicles PER state-of-charge control decrease the energy consumption of vehicles and increase the safety
ARM Climate Modeling Best Estimate from Manus Island, PNG (ARMBE-CLDRAD TWPC1 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2011-02-07
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Darwin, AU (ARMBE-CLDRAD TWPC3 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2010-08-10
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
Chen, Yu-Han, 1973-
2004-01-01
Methane (CH?) and carbon dioxide (CO?) are the two most radiatively important greenhouse gases attributable to human activity. Large uncertainties in their source and sink magnitudes currently exist. We estimate global ...
McCollum, David L; Ogden, Joan M
2006-01-01
for estimating the drilling cost of an onshore injectionSurvey (JAS) on Drilling Costs” report. The equations of [8]C drill = capital cost for drilling of the injection well [
ARM Climate Modeling Best Estimate from Darwin, AU (ARMBE-CLDRAD TWPC3 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
ARM Climate Modeling Best Estimate from Manus Island, PNG (ARMBE-CLDRAD TWPC1 V2.1)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
McCollum, David L; Ogden, Joan M
2006-01-01
C drill = capital cost for drilling of the injection well [for estimating the drilling cost of an onshore injectionSurvey (JAS) on Drilling Costs” report. The equations of [8
Natesan, Prathiba
2009-05-15
IRT models. However, models such as 2-PL MLIRT models have not been studied yet. This dissertation consists of two studies, a simulation and a substantiation for an urban school district dataset. The simulation study tested the performance...
Wang, Ruofan; Wang, Jiang; Deng, Bin Liu, Chen; Wei, Xile; Tsang, K. M.; Chan, W. L.
2014-03-15
A combined method composing of the unscented Kalman filter (UKF) and the synchronization-based method is proposed for estimating electrophysiological variables and parameters of a thalamocortical (TC) neuron model, which is commonly used for studying Parkinson's disease for its relay role of connecting the basal ganglia and the cortex. In this work, we take into account the condition when only the time series of action potential with heavy noise are available. Numerical results demonstrate that not only this method can estimate model parameters from the extracted time series of action potential successfully but also the effect of its estimation is much better than the only use of the UKF or synchronization-based method, with a higher accuracy and a better robustness against noise, especially under the severe noise conditions. Considering the rather important role of TC neuron in the normal and pathological brain functions, the exploration of the method to estimate the critical parameters could have important implications for the study of its nonlinear dynamics and further treatment of Parkinson's disease.
Shimizu, Noritaka; Futamura, Yasunori; Sakurai, Tetsuya; Mizusaki, Takahiro; Otsuka, Takaharu
2015-01-01
We introduce a novel method to obtain level densities in large-scale shell-model calculations. Our method is a stochastic estimation of eigenvalue count based on a shifted Krylov-subspace method, which enables us to obtain level densities of huge Hamiltonian matrices. This framework leads to a successful description of both low-lying spectroscopy and the experimentally observed equilibration of $J^\\pi=2^+$ and $2^-$ states in $^{58}$Ni in a unified manner.
Reiser, I; Lu, Z [University of Chicago, Chicago, IL (United States)
2014-06-01
Purpose: Recently, task-based assessment of diagnostic CT systems has attracted much attention. Detection task performance can be estimated using human observers, or mathematical observer models. While most models are well established, considerable bias can be introduced when performance is estimated from a limited number of image samples. Thus, the purpose of this work was to assess the effect of sample size on bias and uncertainty of two channelized Hotelling observers and a template-matching observer. Methods: The image data used for this study consisted of 100 signal-present and 100 signal-absent regions-of-interest, which were extracted from CT slices. The experimental conditions included two signal sizes and five different x-ray beam current settings (mAs). Human observer performance for these images was determined in 2-alternative forced choice experiments. These data were provided by the Mayo clinic in Rochester, MN. Detection performance was estimated from three observer models, including channelized Hotelling observers (CHO) with Gabor or Laguerre-Gauss (LG) channels, and a template-matching observer (TM). Different sample sizes were generated by randomly selecting a subset of image pairs, (N=20,40,60,80). Observer performance was quantified as proportion of correct responses (PC). Bias was quantified as the relative difference of PC for 20 and 80 image pairs. Results: For n=100, all observer models predicted human performance across mAs and signal sizes. Bias was 23% for CHO (Gabor), 7% for CHO (LG), and 3% for TM. The relative standard deviation, ?(PC)/PC at N=20 was highest for the TM observer (11%) and lowest for the CHO (Gabor) observer (5%). Conclusion: In order to make image quality assessment feasible in the clinical practice, a statistically efficient observer model, that can predict performance from few samples, is needed. Our results identified two observer models that may be suited for this task.
Kumar, Vipin
ecosystem (tundra and boreal) sinks for atmospheric CO2. Key Words: carbon dioxide, ecosystems, remote "missing sink" for carbon dioxide emissions. Measured atmospheric CO2, 13 C, and O2/N2 distributionsContinental Scale Comparisons of Terrestrial Carbon Sinks Estimated from Satellite Data
Washington at Seattle, University of
Estimating the Size of Populations at High Risk of HIV in Bangladesh Using a Bayesian Hierarchical the numbers of injecting drug users and female sex workers in Bangladesh. Contents 1 Introduction 1 2 Methods of Intravenous Drug Users in Bangladesh in 2004 7 3.1 Results from the multiplier method
-Based Electrochemical Estimation and Constraint Management for Pulse Operation of Lithium Ion Batteries Kandler A. Smith Technologies, Graduate Automotive Technology Education Pro- gram. This work was performed at the Pennsylvania-mail: kandlers@hotmail.com; kandler_smith@nrel.gov). C. D. Rahn and C.-Y. Wang are with the Department
Dowd, William Wesley; Brill, R W; Bushnell, P G; Musick, J A
2006-01-01
error analy- sis of fish bioenergetics models. Can J. Fish.importance of activity in bioenergetics models applied toA. C. Cockcroft. 1990. Bioenergetics of fishes in a high-
Dobbs, Kevin Edward
2010-04-27
The Kansas Biological Survey has developed a library of modeled flood inundation extents, using the FLDPLN model, for major streams across Kansas that can be accessed in near real-time to provide valuable information to disaster responders...
Pylyshyn, Zenon
) Check that it opened to the "Lng Model" sheet (look at sheet tabs at bottom left of workbook window the section below on "Interpreting Protocols." 5) To enter a ready-made protocol into the Lng Model, select it). Go back to Lng Model sheet, select the uppermost, leftmost input cell (Cell A3, which is grayed
Barik, Muhammad Ghulam
2014-01-01
evapotranspiration equations and their relevance to stream flow modeling in semi-arid environments.evapotranspiration equations and their relevance to stream flow modeling in semi-arid environments.evapotranspiration equations and their relevance to stream flow modeling in semi-arid environments.
Snyder, Mark A.
consis- tent with the GCM, especially in this study, where the GCM and RCM use the same solar radiation or decrease) is uncertain. Estimates of changes in snow accumulation are not presented. To date, the use
Gregory L. Eyink
1996-02-19
We establish and discuss {\\em a priori} estimates on subgrid stress and subgrid flux for filtering schemes used in the turbulence modelling method of Large-Eddy Simulation (LES). Our estimates are derived as rigorous consequences of the exact subgrid stress formulae from Navier-Stokes equations under realistic conditions for inertial-range velocity fields, those conjectured in the Parisi-Frisch ``multifractal model.'' The estimates are shown to be an expression of ``local energy cascade,'' i.e. the dominance of local wavevector triads in the energy transfer. We prove that for nearly any reasonable filter function the LES method defines an energy flux in which local triads dominate in individual realizations, due to cancellation of distant triadic contributions by detailed conservation. A somewhat similar observation of Leslie and Quarini on graded filters in the EDQNM closure is shown to be unrelated to the cancellation we establish in Navier-Stokes solutions. The sharp Fourier cutoff filter is one example which does not satisfy the modest conditions of our proof and, in fact, we show that with that filter the energy transfer in individual realizations at arbitrarily high Reynolds number will be dominated by nonlocal, convective sweeping.
Estimating the bias of a noisy coin
Christopher Ferrie; Robin Blume-Kohout
2012-01-06
Optimal estimation of a coin's bias using noisy data is surprisingly different from the same problem with noiseless data. We study this problem using entropy risk to quantify estimators' accuracy. We generalize the "add Beta" estimators that work well for noiseless coins, and we find that these hedged maximum-likelihood (HML) estimators achieve a worst-case risk of O(N^{-1/2}) on noisy coins, in contrast to O(1/N) in the noiseless case. We demonstrate that this increased risk is unavoidable and intrinsic to noisy coins, by constructing minimax estimators (numerically). However, minimax estimators introduce extreme bias in return for slight improvements in the worst-case risk. So we introduce a pointwise lower bound on the minimum achievable risk as an alternative to the minimax criterion, and use this bound to show that HML estimators are pretty good. We conclude with a survey of scientific applications of the noisy coin model in social science, physical science, and quantum information science.
Linearity of Climate Response to Increases in Black Carbon Aerosols
Mahajan, Salil [ORNL; Evans, Katherine J [ORNL; Hack, James J [ORNL; Truesdale, John [National Center for Atmospheric Research (NCAR)
2013-01-01
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.
Chen, Jinsong; Dickens, Thomas
2008-01-01
random functions of reservoir water saturation and porosity,models We relate reservoir water saturation S w and porosityexponent Saturation exponent Reservoir brine resistivity (W-
Technical report: Multivariate generalized S-estimators
Van Aelst, Stefan
Technical report: Multivariate generalized S-estimators Roelant E. a, Van Aelst S. a Croux C. b a-estimators for the multivariate regression model. This class of estimators combines high robustness and high efficiency of residuals. In the special case of a multivariate location model, the generalized S-estimator has
Wang, M.Q.
1996-03-01
This report documents the development and use of the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The model, developed in a spreadsheet format, estimates the full fuel- cycle emissions and energy use associated with various transportation fuels for light-duty vehicles. The model calculates fuel-cycle emissions of five criteria pollutants (volatile organic compounds, carbon monoxide, nitrogen oxides, sulfur oxides, and particulate matter measuring 10 microns or less) and three greenhouse gases (carbon dioxide, methane, and nitrous oxide). The model also calculates the total fuel-cycle energy consumption, fossil fuel consumption, and petroleum consumption using various transportation fuels. The GREET model includes 17 fuel cycles: petroleum to conventional gasoline, reformulated gasoline, clean diesel, liquefied petroleum gas, and electricity via residual oil; natural gas to compressed natural gas, liquefied petroleum gas, methanol, hydrogen, and electricity; coal to electricity; uranium to electricity; renewable energy (hydrogen, solar energy, and wind) to electricity; corn, woody biomass, and herbaceous biomass to ethanol; and landfill gases to methanol. This report presents fuel-cycle energy use and emissions for a 2000 model-year car powered by each of the fuels that are produced from the primary energy sources considered in the study.
Paris-Sud XI, Université de
SimHydro 2012: Hydraulic modeling and uncertainty, 12-14 September 2012, Sophia Antipolis N. Jean-Baptiste, C. Dorée, P-O. Malaterre, J. Sau - Data assimilation for hydraulic state estimation of a development project Data assimilation for hydraulic state estimation of a development project Assimilation de données
Ponte, R. M.
This paper presents the ECCO v4 non-linear inverse modeling framework and its baseline solution for the evolving ocean state over the period 1992–2011. Both components are publicly available and subjected to regular, ...
Kandelous, Maziar M.; Šim?nek, Ji?í
2010-01-01
and clay (33.5%), and water contents for pressures of -33times, antecedent water contents, and emitter locations, andthe saturated soil water content as one of the model
Virtanen, Tuomas
Transients Modeling Mikko Parviainen1 and Tuomas Virtanen2 Institute of Signal Processing Tampere University of Technology, P.O. BOX 33101, Tampere, Finland 1 E-mail: mikko.p.parviainen@tut.fi 2 E-mail: tuomasv
Moon, Jordan R.; Hull, Holly R.; Tobkin, Sarah E.; Teramoto, Masaru; Karabulut, Murat; Roberts, Michael D.; Ryan, Eric D.; Kim, So Jung; Dalbo, Vincent J.; Herda, Ashley A.
2007-11-07
-free mass and fat mass can be used to identify minimal nutri- tion requirements and resting energy expenditure [2,3]. Additionally, sports nutrition experts can utilize body composition values to develop specific dietary interven- tions. Validated laboratory... is not in total agreement when comparing HW to the multiple-compartment model in adult women [4,8]. Ultimately, both multiple- compartment models and HW entail greater facility requirements and are more costly compared to more con- venient field methods...
arXiv:1403.5085v1[math.OC]20Mar2014 Modeling and Estimation of the Humans'
-liberis@berkeley.edu, and bayen@berkeley.edu #12;1 Introduction 1.1 Motivation Reducing energy demand is an important component of smart building research. Build- ing energy use is responsible for an increasing proportion of the total energy demand. In the United States, the proportion of building electricity consumption has raised to 40
Mirocha, Jordan; Burns, Jack O
2015-01-01
Following our previous work, which related generic features in the sky-averaged (global) 21-cm signal to properties of the intergalactic medium, we now investigate the prospects for constraining a simple galaxy formation model with current and near-future experiments. Markov-Chain Monte Carlo fits to our synthetic dataset, which includes a realistic galactic foreground, a plausible model for the signal, and noise consistent with 100 hours of integration by an ideal instrument, suggest that a simple four-parameter model that links the production rate of Lyman-$\\alpha$, Lyman-continuum, and X-ray photons to the growth rate of dark matter halos can be well-constrained (to $\\sim 0.1$ dex in each dimension) so long as all three spectral features expected to occur between $40 \\lesssim \
Vijayaraghavan, K.; Zhang, Y.; Seigneur, C.; Karamchandani, P.; Snell, H.E.
2009-02-15
The export of reactive nitrogen (nitrogen oxides and their oxidation products, collectively referred to as NOy) from coal-fired power plants in the U.S. to the rest of the world could have a significant global contribution to ozone. Traditional Eulerian gridded air quality models cannot characterize accurately the chemistry and transport of plumes from elevated point sources such as power plant stacks. A state-of-the-science plume-in-grid (PinG) air quality model, a reactive plume model embedded in an Eulerian gridded model, is used to estimate the export of NOy from 25 large coal-fired power plants in the U. S. (in terms of NOx and SO{sub 2} emissions) in July 2001 to the global atmosphere. The PinG model used is the Community Multiscale Air Quality Model with Advanced Plume Treatment (CMAQ-APT). A benchmark simulation with only the gridded model, CMAQ, is also conducted for comparison purposes. The simulations with and without advanced plume treatment show differences in the calculated export of NOy from the 25 plants considered reflecting the effect of using a detailed and explicit treatment of plume transport and chemistry. The advanced plume treatment results in 31% greater simulated export of NOy compared to the purely grid-based modeling approach. The export efficiency of NOy (the fraction of NOy emitted that is exported) is predicted to be 21% without APT and 27% with APT. When considering only export through the eastern boundary across the Atlantic, CMAQ-APT predicts that the export efficiency is 24% and that 2% of NOy is exported as NOx, 49% as inorganic nitrate, and 25% as PAN. These results are in reasonably good agreement with an analysis reported in the literature of aircraft measurements over the North Atlantic.
Wu, Huan; Adler, Robert F.; Tian, Yudong; Huffman, George; Li, Hongyi; Wang, Jianjian
2014-04-09
A community land surface model, the Variable Infiltration Capacity (VIC) model, is coupled with a newly developed hierarchical dominant river tracing-based runoff-routing model to form the Dominant river tracing-Routing Integrated with VIC Environment (DRIVE) model system, which serves as the new core of the real-time Global Flood Monitoring System (GFMS). The GFMS uses real-time satellite-based precipitation to derive flood-monitoring parameters for the latitude-band 50{degree sign}N-50{degree sign}S at relatively high spatial (~12km) and temporal (3-hourly) resolution. Examples of model results for recent flood events are computed using the real-time GFMS (http://flood.umd.edu). To evaluate the accuracy of the new GFMS, the DRIVE model is run retrospectively for 15 years using both research-quality and real-time satellite precipitation products. Statistical results are slightly better for the research-quality input and significantly better for longer duration events (three-day events vs. one-day events). Basins with fewer dams tend to provide lower false alarm ratios. For events longer than three days in areas with few dams, the probability of detection is ~0.9 and the false alarm ratio is ~0.6. In general, these statistical results are better than those of the previous system. Streamflow was evaluated at 1,121 river gauges across the quasi-global domain. Validation using real-time precipitation across the tropics (30ºS-30ºN) gives positive daily Nash-Sutcliffe Coef?cients for 107 out of 375 (28%) stations with a mean of 0.19 and 51% of the same gauges at monthly scale with a mean of 0.33. There were poorer results in higher latitudes, probably due to larger errors in the satellite precipitation input.
Casey, James Elmer
1973-01-01
of agricul- tural production and the environment. Restricting this discussion to reports concerned with agriculture, the publications can be separated into (1) nature of agriculture pollution, (2) value of pesticides to farmers, (3) impact of withdrawing..., the desirability of introducing pesticidee into the environment has been questioned. Increased awareness of the environ- ment has caused society to focus on the social costs of using chemicals. Certain pesticides present a threat to fish, wildlife, crops...
Jiajuan Liang; Peter Bentler
2011-01-01
The model can be expressed as ( Vgi 9i v v w i t h the basicis given by 5 V = cov I \\Vgi I , J S I , w and the between-value v . g g YgO q+(N Vgi N g Under the basic assumptions B
Hespanha, João Pedro
Robust UAV Coordination for Target Tracking using Output-Feedback Model Predictive Control consider the control of two UAVs tracking an evasive moving ground vehicle. The UAVs are small fixed-wing aircraft equipped with gimbaled cameras and must coordinate their control actions so that at least one UAV
Thornton, Mitchell
required resources.. The accuracy of the model is measured by validation using parallelism profiles under functions is presented. By using a data dependence graph, or alternatively, an available parallelism profile to a finite number of processing elements. 1 Introduction Parallelism profiles have been used in the past
Batzel, Jerry
flow dynamics. This model is an approach to assess the lymph flow by measurements of the substance chain of alternating units of glucuronic acid and Nacetylglucosamine that is linked glycosidically via, it takes part in the regulation of tissue hydration and is an important determinant for hydraulic
Shapiro, Benjamin
are presented and the effect of motor dynamics on the overall dynamics are investigated. Flowfield velocity the helicopter aerodynamics onboard and modulates the motor torque, rather than the collective pitch, during take- niques often require a system model with empirically fit aero- dynamic coefficients that are unique
's radiation budget through absorption and scattering of solar and terrestrial radiation, (2) the indirect and regional, but to date, there have been few attempts to compare the performance of these models impact of mineral dust in particular is relatively poorly understood, despite evidence that the radiative
Li, Xiang; Zhou, Bei; He, Hao-Ning; Fan, Yi-Zhong; Wei, Da-Ming, E-mail: yzfan@pmo.ac.cn [Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Science, Nanjing 210008 (China)
2014-12-10
The existence of fast radio bursts (FRBs), a new type of extragalatic transient, has recently been established, and quite a few models have been proposed. In this work, we discuss the possible connection between the FRB sources and ultra high energy (>10{sup 18} eV) cosmic rays. We show that in the blitzar model and the model of merging binary neutron stars, which includes the huge energy release of each FRB central engine together with the rather high rate of FRBs, the accelerated EeV cosmic rays may contribute significantly to the observed ones. In other FRB models, including, for example, the merger of double white dwarfs and the energetic magnetar radio flares, no significant EeV cosmic ray is expected. We also suggest that the mergers of double neutron stars, even if they are irrelevant to FRBs, may play a nonignorable role in producing EeV cosmic ray protons if supramassive neutron stars are formed in a sufficient fraction of mergers and the merger rate is ? 10{sup 3} yr{sup –1} Gpc{sup –3}. Such a possibility will be unambiguously tested in the era of gravitational wave astronomy.
Logue, J. M.; Turner, W. J.N.; Walker, I. S.; Singer, B. C.
2015-07-01
Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector’s energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level.
Ning, Ling
2015-08-05
(IC) statistics, (b) nested model likelihood ratio test derivative, (c) the entropy statistic and entropy-penalty based indexes, (d) goodness of fit tests (Bauer & Curran, 2003b; Liu & Hancock, 2014; Peugh & Fan, 2012; Peugh & Fan, 2015; Tofighi... rescaled entropy 18 measure proposed by Ramaswamy, DeSarbo, Reibstein, and Robinson (1993). The rescaled entropy ranges from 0 to 1 with 1 indicating perfect classification (Bauer & Curran, 2003a; B. Muthén & Muthén, 2000). Celeux & Soromenho (1996...
Cost Estimating, Analysis, and Standardization
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1984-11-02
To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992
Perry, Richard Jay
1985-01-01
4. 5 percentage units less fat (21. 64% vs 26, 1% carcass fat) than non-implanted steers of the same carcass weight and rate of gain (350 kg and ADG of 1. 0 kg/d). Fat as a percentage of gain averaged 67. 85, 52. 05 and 39. 59 for non... model which can be used for projecting changes in yield grade and quality grade with performance of cattle in the feedlot over time. The primary objectives of this research were: 1) To determine the "shelf life" of a steer in the feedlot. 2...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit the followingConcentrating Solar Deployment System (CSDS) - A New Model for
Hoen, Ben
2013-01-01
of Photovoltaic Energy Systems on Residential Selling Pricesof photovoltaic (PV) energy systems on home sales prices.
Hoen, Ben
2013-01-01
underlying net installation costs for PV systems between newfrom electricity cost savings after PV system installationannual electricity cost savings associated with PV they are
Hoen, Ben
2013-01-01
Research (GTM), "U.S. Solar Market Insight - 2011 Year inSunpower Solar Systems Are Bright Spot in Market," Ryness
1 Increased nitrogen availability in soil after repeated compost applications: use of the PASTIS : 10.1016/j.soilbio.2013.05.023 #12;2 Abstract Regular application of composts on cropped soils has composts on the nitrogen (N) dynamics in a cropped loamy soil was compared to farmyard manure application
Best Linear Unbiased Estimate Motivation for BLUE
Fowler, Mark
1 Chapter 6 Best Linear Unbiased Estimate (BLUE) #12;2 Motivation for BLUE Except for Linear Model to a sub-optimal estimate BLUE is one such sub-optimal estimate Idea for BLUE: 1. Restrict estimate) Advantage of BLUE:Needs only 1st and 2nd moments of PDF Mean & Covariance Disadvantages of BLUE: 1. Sub
Sawan, Samuel P. (Tyngsborough, MA); Talhi, Abdelhafid (Rochester, MI); Taylor, Craig M. (Jemez Springs, NM)
1998-08-25
The invention features polymers with increased order, and methods of making them featuring a dense gas.
Incoporating rubble mound jetties in elliptic harbor wave models
Zhang, Jianfeng
2007-09-17
Simulation models based on the elliptic mild or steep slope wave equation are frequently used to estimate wave properties needed for the engineering calculations of harbors. To increase the practical applicability of such models, a method...
Winkel, Matthias
, Kaplan-Meier estimator 1. Public health officials often compare the effects of different changes function in terms of the underlying lifetime distribution. What form will the Kaplan-Meier estimate that when no censoring or truncation occurs, the Kaplan-Meier estimator corresponds to the empirical
Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis
Wang, Feng, E-mail: fwang@unu.edu [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Huisman, Jaco [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Stevels, Ab [Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Baldé, Cornelis Peter [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Statistics Netherlands, Henri Faasdreef 312, 2492 JP Den Haag (Netherlands)
2013-11-15
Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.
Harmonizing Systems and Software Cost Estimation
Wang, Gan
2009-07-19
The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...
Parameter Estimation Through Ignorance
Hailiang Du; Leonard A. Smith
2012-06-06
Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.
Managing Increased Charging Demand
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Managing Increased Charging Demand Carrie Giles ICF International, Supporting the Workplace Charging Challenge Workplace Charging Challenge Do you already own an EV? Are you...
Does Deinstitutionalization Increase Suicide?
Yoon, Jangho; Bruckner, Tim A
2009-01-01
RESEARCH ARTICLE Does Deinstitutionalization IncreaseHowever, the literature does not support this notion ofsupply. If privatization does not influence the availability
Park, J.K. [Inje Univ., Kimhae (Korea, Republic of). Dept. of Environmental Sciences; Allen, E.R. [Univ. of Florida, Gainesville, FL (United States). Dept. of Environmental Engineering Sciences
1997-12-31
The harmful effects of dry acid deposition on terrestrial ecosystems could be as significant as those from wet acid deposition. Dry deposition involves removal of air pollutants to surfaces by sedimentation, impaction, interception and diffusion. Dry deposition velocities and fluxes of air pollutants, such as SO{sub 2}(g), O{sub 3}(g), HNO{sub 3}(g), submicron particulates, NO{sub 3}{sup {minus}}(s), and SO{sub 4}{sup 2{minus}}(s), have been estimated according to local meteorological elements in the boundary layer. The model that was used for these calculations is the multiple layer resistance model developed by Hicks. It consists of multiple layered resistances including an aerodynamic resistance, a boundary layer resistance, and a surface resistance. Meteorological data were recorded on an hourly basis from July, 1990 to June, 1991 at the Austin Cary forest site, near Gainesville FL. Weekly integrated samples of ambient dry deposition species were collected at the site using triple filter packs and chemically analyzed. For the study period at this site annual average dry deposition velocities were estimated to be : 0.87--0.07 [cm/s] for SO{sub 2}(g), 0.65--0.11 [cm/s] for O{sub 3}(g), 1.20--0.14 [cm/s] for HNO{sub 3}(g), 0.0045--0.0006 [cm/s] for submicron particulates, and 0.089--0.014 [cm/s] for NO{sub 3}{sup {minus}}(s) and SO{sub 4}{sup 2{minus}}(s). Trends observed in daily mean deposition velocities are largely seasonal, indicated by larger deposition velocities for the summer season and smaller deposition velocities for the winter season. Note that the summer season at this southern US site extends from April through October (7 months) and the winter season extends from December through February. Monthly and weekly averaged values for deposition velocities do not show large differences over the year but do show a tendency for increased deposition velocities in summer and decreased values in winter.
Resource demand growth and sustainability due to increased world consumption
Balatsky, Alexander V.; Balatsky, Galina I.; Borysov, Stanislav S.
2015-03-20
The paper aims at continuing the discussion on sustainability and attempts to forecast the impossibility of the expanding consumption worldwide due to the planet’s limited resources. As the population of China, India and other developing countries continue to increase, they would also require more natural and financial resources to sustain their growth. We coarsely estimate the volumes of these resources (energy, food, freshwater) and the gross domestic product (GDP) that would need to be achieved to bring the population of India and China to the current levels of consumption in the United States. We also provide estimations for potentially needed immediate growth of the world resource consumption to meet this equality requirement. Given the tight historical correlation between GDP and energy consumption, the needed increase of GDP per capita in the developing world to the levels of the U.S. would deplete explored fossil fuel reserves in less than two decades. These estimates predict that the world economy would need to find a development model where growth would be achieved without heavy dependence on fossil fuels.
Resource demand growth and sustainability due to increased world consumption
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Balatsky, Alexander V.; Balatsky, Galina I.; Borysov, Stanislav S.
2015-03-20
The paper aims at continuing the discussion on sustainability and attempts to forecast the impossibility of the expanding consumption worldwide due to the planet’s limited resources. As the population of China, India and other developing countries continue to increase, they would also require more natural and financial resources to sustain their growth. We coarsely estimate the volumes of these resources (energy, food, freshwater) and the gross domestic product (GDP) that would need to be achieved to bring the population of India and China to the current levels of consumption in the United States. We also provide estimations for potentially neededmore »immediate growth of the world resource consumption to meet this equality requirement. Given the tight historical correlation between GDP and energy consumption, the needed increase of GDP per capita in the developing world to the levels of the U.S. would deplete explored fossil fuel reserves in less than two decades. These estimates predict that the world economy would need to find a development model where growth would be achieved without heavy dependence on fossil fuels.« less
Stukey, Jared D.
2011-02-22
, individual bole height (IBH), diameter at breast height (DBH), length of crown (CrHT), and age for use in TAMBEETLE; (2) to estimate individual tree age using lidar-estimated height and site index provided by the United States Department of Agriculture (USDA...
Estimating solar irradiance using a geostationary satellite
Urquhart, Bryan Glenn
2011-01-01
Heliosat procedure for irradiance Estimates from Satellitethe pro duction of solar irradiance and daylight illuminancesatellite based solar irradiance modelling - The SOLIS clear
Xie, B; Dong, X; Xie, S
2012-05-18
To support the LLNL ARM infrastructure team Climate Modeling Best Estimate (CMBE) data development, the University of North Dakota (UND)'s group will provide the LLNL team the NASA CERES and ISCCP satellite retrieved cloud and radiative properties for the periods when they are available over the ARM permanent research sites. The current available datasets, to date, are as follows: the CERES/TERRA during 200003-200812; the CERES/AQUA during 200207-200712; and the ISCCP during 199601-200806. The detailed parameters list below: (1) CERES Shortwave radiative fluxes (net and downwelling); (2) CERES Longwave radiative fluxes (upwelling) - (items 1 & 2 include both all-sky and clear-sky fluxes); (3) CERES Layered clouds (total, high, middle, and low); (4) CERES Cloud thickness; (5) CERES Effective cloud height; (6) CERES cloud microphysical/optical properties; (7) ISCCP optical depth cloud top pressure matrix; (8) ISCCP derived cloud types (r.g., cirrus, stratus, etc.); and (9) ISCCP infrared derived cloud top pressures. (10) The UND group shall apply necessary quality checks to the original CERES and ISCCP data to remove suspicious data points. The temporal resolution for CERES data should be all available satellite overpasses over the ARM sites; for ISCCP data, it should be 3-hourly. The spatial resolution is the closest satellite field of view observations to the ARM surface sites. All the provided satellite data should be in a format that is consistent with the current ARM CMBE dataset so that the satellite data can be easily merged into the CMBE dataset.
Estimate product quality with ANNs
Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)
1996-09-01
Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2011-02-07
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2011-02-07
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2011-02-07
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
2011-02-07
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
Kupke, Joshua Scott
2011-02-22
quantitative computed tomography (pQCT), mechanical testing in two different loading conditions, and estimated strength indices. Adult male Sprague-Dawley rats (6-mo) were grouped into baseline (BL), ambulatory cage control (CC) and hindlimb unloaded (HU); HU...
2007-01-01
Estimating past hepatitis C infection risk from reportedHS. The prevalence of hepatitis C virus infection in theStatement Management of Hepatitis C: June 10-12, 2002. HIV
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
McCoy, Renata; Xie, Shaocheng
The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.
Souradeep, Tarun
Saha,1,2,3,4, Pankaj Jain,4, and Tarun Souradeep1,x 1 IUCAA, Post Bag 4, Ganeshkhind, Pune-411007 of CMB power spectrum estimation was proposed by Saha et al. 2006. This methodology demonstrates
Towards increased policy relevance in energy modeling
Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale
2003-01-01
Economic Activity. Energy Policy 28(6-7): 351-501 Michael J.with MiniCAM 1.0. Energy Policy 27(14):855-879. Worrell,years the importance of energy policy has been demonstrated
Residential propane price increases
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases
Residential propane price increases
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases4,
Residential propane prices increase
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase The
Residential propane prices increase
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase
Diesel prices increase nationally
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increase nationally The
Diesel prices slightly increase
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDieselDieselDiesel
Interconnect Delay and Area Estimation for Multiple-Pin Nets
Pan, David Z.
,000,000 second = 3 years ! #12;Needs for Efficient Interconnect Estimation Models nn EfficiencyEfficiency nn
2003-01-01
are nonlinear dynamical systems for which an exact mathematical model cannot be used for estimator design to avoid rotating stall (Emmons et al., 1955). Rotating stall is described in Fig. 1, where a row of axial compressor blades is shown: a non-uniformity in the inlet flow causes an increase in the angle of attack
Stefanopoulou, Anna
PSM: Lithium-Ion Battery State of Charge (SOC) and Critical Surface Charge (CSC) Estimation using. INTRODUCTION Lithium-ion battery is the core of new plug-in hybrid- electrical vehicles (PHEV) as well transient loads [22]. The importance of lithium-ion battery has grown in the past years. Based
Brady 1D seismic velocity model ambient noise prelim
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Mellors, Robert J.
Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 km. Poorly constrained with increasing depth.
Brady 1D seismic velocity model ambient noise prelim
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Mellors, Robert J.
2013-10-25
Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 km. Poorly constrained with increasing depth.
Numerical Estimation of Frictional Torques with Rate and State Friction
Arun K. Singh; T. N. Singh
2015-01-20
In this paper, numerical estimation of frictional torques is carried out of a rotary elastic disc on a hard and rough surface under different rotating conditions. A one dimensional spring- mass rotary system is numerically solved under the quasistatic condition with the rate and state dependent friction model. It is established that torque of frictional strength as well as torque of steady dynamic stress increases with radius and found to be maximum at the periphery of the disc. Torque corresponding to frictional strength estimated using the analytical solution matches closely with the simulation only in the case of high stiffness of the connecting spring. In steady relaxation simulation, a steadily rotating disc is suddenly stopped and relaxational angular velocity and corresponding frictional torque decreases with both steady angular velocity and stiffness of the connecting spring in the velocity strengthening regime. In velocity weakening regime, in contrast, torque of relaxation stress deceases but relaxation velocity increases. The reason for the contradiction is explained.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
This chapter focuses on the components (or elements) of the cost estimation package and their documentation.
Drought: Monitoring, Estimation and Prediction
Washington at Seattle, University of
.S. disaster before hurricane Katrina) Significant social consequences (e.g. Dust Bowl) Challenges U.S. dataset (1915-present) Need method for objective identification and estimation of drought Capacity model Solves energy and water balance over gridded domain Sub-grid variability in topography
Check Estimates and Independent Costs
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.
Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications
Garcia, Tanya
2012-10-19
Many statistical models, like measurement error models, a general class of survival models, and a mixture data model with random censoring, are semiparametric where interest lies in estimating finite-dimensional parameters ...
Input estimation from measured structural response
Harvey, Dustin [Los Alamos National Laboratory; Cross, Elizabeth [Los Alamos National Laboratory; Silva, Ramon A [Los Alamos National Laboratory; Farrar, Charles R [Los Alamos National Laboratory; Bement, Matt [Los Alamos National Laboratory
2009-01-01
This report will focus on the estimation of unmeasured dynamic inputs to a structure given a numerical model of the structure and measured response acquired at discrete locations. While the estimation of inputs has not received as much attention historically as state estimation, there are many applications where an improved understanding of the immeasurable input to a structure is vital (e.g. validating temporally varying and spatially-varying load models for large structures such as buildings and ships). In this paper, the introduction contains a brief summary of previous input estimation studies. Next, an adjoint-based optimization method is used to estimate dynamic inputs to two experimental structures. The technique is evaluated in simulation and with experimental data both on a cantilever beam and on a three-story frame structure. The performance and limitations of the adjoint-based input estimation technique are discussed.
State energy data report 1994: Consumption estimates
1996-10-01
This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.
Fernandez, Thomas
of the price of European-style options. However, the basic assumptions on the assets and market made in the B-S model are ideal. Furthermore, a lot of factors which might affect the prices of options have not been) are applied to forecast the prices of stock options by using the six basic factors in the B-S model
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
The chapter describes the estimates required on government-managed projects for both general construction and environmental management.
Bisht, Gautam
2010-01-01
The Fourth Assessment Report of the Intergovernmental Panel on Climate Change acknowledged that the lack of relevant observations in various regions of the world is a crucial gap in understanding and modeling impacts of ...
Broader source: Energy.gov [DOE]
This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.
Fracture compliance estimation using borehole tube waves
Bakku, Sudhish Kumar
We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...
Kamangar, Faranak; Millsop, Jillian W; Tsai, Dino; Koo, John YM
2015-01-01
clinics operate very efficiently with a range of 30 patientsa model of a highly efficient system to deliver adequates system of clinical efficiency as a possible model for
Broccoli, Anthony J.
relative to full PRP calculations in two experiments: one in which carbon dioxide concentration is doubled in their ice sheet albedo forcing fields are clearly captured by the APRP method. Hence this method. 2001). Likewise, models used to simulate the climate of the Last Glacial Maximum produce a range
Noé, Reinhold
current loss in interior permanent magnet machines is presented. To check the generality of the developed model, two different types of commonly employed interior permanent magnet machines are considered. 2D of 2 as in applications like hybrid and pure electric cars [1]. These motors are fed from an inverter
Yardim, Caglar; Gerstoft, Peter; Hodgkiss, William S.
2007-01-01
Estimating evaporation duct heights from radar sea echo,”Estimation of surface-based duct parameters from surfaceapplication of an evaporation duct model,” Radio Science,
Middle East sparking increase in world drilling
Not Available
1990-02-01
Global drilling outside the United States appears to have bottomed out last year if official numbers and estimates supplied to World oil prove accurate. The 1990:0090 forecast calls for a 7.8% boost to 22,316 wells (excluding the USSR, Eastern Europe and North Korea), and every region expects to see a net increase. Figures provided by governmental agencies, operating companies and other sources indicate Middle Eastern drilling last year hit a new high for the 1980's with 948 wells. These figures are also given for Western Europe, the Far East, Africa, South America, Canada, Mexico, Costa Rica, and Guatemala.
Xia, Xuhua
estimates, but the Gompertz model had R2 values consistently larger than the logistic model. The HT clones and logistic models were used to estimate these three parameters. The two models gave almost identical hypotheses [9]. Such experimental studies generate results more feasible to reveal the cause^ e
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.
SPACE TECHNOLOGY Actual Estimate
technology readiness of new missions, mitigate their technological risks, improve the quality of cost estimates, and thereby contribute to better overall mission cost management..." Space Technology investmentsSPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY
Sub-Second Parallel State Estimation
Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu
2014-10-31
This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days’ worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than today’s commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimator’s single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators’ actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.
Estimating exposure of terrestrial wildlife to contaminants
Sample, B.E.; Suter, G.W. II
1994-09-01
This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.
Actual and Estimated Energy Savings Comparison for Deep Energy Retrofits in the Pacific Northwest
Blanchard, Jeremy; Widder, Sarah H.; Giever, Elisabeth L.; Baechler, Michael C.
2012-10-01
Seven homes from the Pacific Northwest were selected to evaluate the differences between estimated and actual energy savings achieved from deep energy retrofits. The energy savings resulting from these retrofits were estimated, using energy modeling software, to save at least 30% on a whole-house basis. The modeled pre-retrofit energy use was trued against monthly utility bills. After the retrofits were completed, each of the homes was extensively monitored, with the exception of one home which was monitored pre-retrofit. This work is being conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. This work found many discrepancies between actual and estimated energy savings and identified the potential causes for the discrepancies. The differences between actual energy use and modeled energy use also suggest improvements to improve model accuracy. The difference between monthly whole-house actual and estimated energy savings ranged from 75% more energy saved than predicted by the model to 16% less energy saved for all the monitored homes. Similarly, the annual energy savings difference was between 36% and -14%, which was estimated based on existing monitored savings because an entire year of data is not available. Thus, on average, for all six monitored homes the actual energy use is consistently less than estimates, indicating home owners are saving more energy than estimated. The average estimated savings for the eight month monitoring period is 43%, compared to an estimated savings average of 31%. Though this average difference is only 12%, the range of inaccuracies found for specific end-uses is far greater and are the values used to directly estimate energy savings from specific retrofits. Specifically, the monthly post-retrofit energy use differences for specific end-uses (i.e., heating, cooling, hot water, appliances, etc.) ranged from 131% under-predicted to 77% over-predicted by the model with respect to monitored energy use. Many of the discrepancies were associated with occupant behavior which influences energy use, dramatically in some cases, actual versus modeled weather differences, modeling input limitations, and complex homes that are difficult to model. The discrepancy between actual and estimated energy use indicates a need for better modeling tools and assumptions. Despite the best efforts of researchers, the estimated energy savings are too inaccurate to determine reliable paybacks for retrofit projects. While the monitored data allows researchers to understand why these differences exist, it is not cost effective to monitor each home with the level of detail presented here. Therefore an appropriate balance between modeling and monitoring must be determined for more widespread application in retrofit programs and the home performance industry. Recommendations to address these deficiencies include: (1) improved tuning process for pre-retrofit energy use, which currently utilized broad-based monthly utility bills; (2) developing simple occupant-based energy models that better address the many different occupant types and their impact on energy use; (3) incorporating actual weather inputs to increase accuracy of the tuning process, which uses utility bills from specific time period; and (4) developing simple, cost-effective monitoring solutions for improved model tuning.
Risk Analytics for Estimating and Validating Magnitude of Earthquake Losses
Rau-Chaplin, Andrew
Risk Analytics for Estimating and Validating Magnitude of Earthquake Losses A. Astoul, C. Filliter-time estimation and visualisation of insured losses incurred due to earthquakes is presented. The system incorporates a model for estimating losses due to earthquakes in near real-time and a geo
Hybrid Systems State estimation for hybrid systems: applications
Tomlin, Claire
Hybrid Systems State estimation for hybrid systems: applications to aircraft tracking I. Hwang, H of a stochastic linear hybrid system, given only the continuous system output data, is studied. Well established techniques for hybrid estimation, known as the multiple model adaptive estimation algorithm
Cost Estimating Handbook for Environmental Restoration
1990-09-01
Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W.
1997-08-01
The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.
: Helmholtz machine estimation .
: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2011-05-09
This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.
Estimation of food consumption
Callaway, J.M. Jr.
1992-04-01
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
Chapter 3: FY 2005 benefits estimates
None, None
2009-01-18
The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed—NEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.
Chapter 3: FY 2006 benefits estimates
None, None
2009-01-18
The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed–NEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.
Fifield, Shivali
2014-10-13
This paper considers the role that Carbon Conversations, as an example of deliberative workshops, can play in increasing carbon literacy among a group of low-income social housing tenants living in Glasgow. With some adaptations, Carbon...
State Energy Data Report, 1991: Consumption estimates
Not Available
1993-05-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.
State energy data report 1993: Consumption estimates
1995-07-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.
State energy data report 1995 - consumption estimates
1997-12-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.
Benefits to the United States of Increasing Global Uptake of Clean Energy Technologies
Kline, D.
2010-07-01
A previous report describes an opportunity for the United States to take leadership in efforts to transform the global energy system toward clean energy technologies (CET). An accompanying analysis to that report provides estimates of the economic benefits to the United States of such a global transformation on the order of several hundred billion dollars per year by 2050. This report describes the methods and assumptions used in developing those benefit estimates. It begins with a summary of the results of the analysis based on an updated and refined model completed since the publication of the previous report. The framework described can be used to estimate the economic benefits to the U.S. of coordinated global action to increase the uptake of CETs worldwide. Together with a Monte Carlo simulation engine, the framework can be used to develop plausible ranges for benefits, taking into account the large uncertainty in the driving variables and economic parameters. The resulting estimates illustrate that larger global clean energy markets offer significant opportunities to the United States economy.
Optimizing Blast Furnace Operation to Increase Efficiency and...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Optimizing Blast Furnace Operation to Increase Efficiency and Lower Costs State-of-the-Art Computational Fluid Dynamics Model Optimizes Fuel Rate in Blast Furnaces The blast...
Impacts of increasing anthropogenic soluble iron and nitrogen deposition on ocean biogeochemistry
2009-01-01
some increased CO 2 outgassing in the equatorial Pacific. [estimated oceanic O 2 outgassing associated to global warm-increased oceanic O 2 outgassing by $10 Tmol O 2 /a in the
Unintended Impacts of Increased Truck Loads on Pavement Supply-Chain Emissions
California at Berkeley, University of
Unintended Impacts of Increased Truck Loads on Pavement Supply-Chain Emissions Nakul Sathaye, Arpad emissions, raising the question of whether increased vehicle weights may cause unintended environmental consequences. This paper presents scenarios with estimated emissions resulting from load consolidation
Jochem, Warren C; Sims, Kelly M; Bright, Eddie A; Urban, Marie L; Rose, Amy N; Coleman, Phil R; Bhaduri, Budhendra L
2013-01-01
In recent years, uses of high-resolution population distribution databases are increasing steadily for environmental, socioeconomic, public health, and disaster-related research and operations. With the development of daytime population distribution, temporal resolution of such databases has been improved. However, the lack of incorporation of transitional population, namely business and leisure travelers, leaves a significant population unaccounted for within the critical infrastructure networks, such as at transportation hubs. This paper presents two general methodologies for estimating passenger populations in airport and cruise port terminals at a high temporal resolution which can be incorporated into existing population distribution models. The methodologies are geographically scalable and are based on, and demonstrate how, two different transportation hubs with disparate temporal population dynamics can be modeled utilizing publicly available databases including novel data sources of flight activity from the Internet which are updated in near-real time. The airport population estimation model shows great potential for rapid implementation for a large collection of airports on a national scale, and the results suggest reasonable accuracy in the estimated passenger traffic. By incorporating population dynamics at high temporal resolutions into population distribution models, we hope to improve the estimates of populations exposed to or at risk to disasters, thereby improving emergency planning and response, and leading to more informed policy decisions.
Local Harmonic Estimation in Musical Sound Rafael A. IRIZARRY
Irizarry, Rafael A.
Local Harmonic Estimation in Musical Sound Signals Rafael A. IRIZARRY Statistical modeling so a local harmonic model that tracks changes in pitch and in the amplitudes of the harmonics is fit estimates of the harmonic signal and of the noise signal. Different musical composition applications may
Ridge Regression Estimation for Survey Samples Mingue Park
Yang, Min
Ridge Regression Estimation for Survey Samples Mingue Park and Min Yang Korea University and University of Missouri Abstract A procedure for constructing a vector of regression weights is considered. Under the re- gression superpopulation model, the ridge regression estimator that has minimum model mean
Efficient Cosmological Parameter Estimation from Microwave Background Anisotropies
Arthur Kosowsky; Milos Milosavljevic; Raul Jimenez
2002-06-02
We revisit the issue of cosmological parameter estimation in light of current and upcoming high-precision measurements of the cosmic microwave background power spectrum. Physical quantities which determine the power spectrum are reviewed, and their connection to familiar cosmological parameters is explicated. We present a set of physical parameters, analytic functions of the usual cosmological parameters, upon which the microwave background power spectrum depends linearly (or with some other simple dependence) over a wide range of parameter values. With such a set of parameters, microwave background power spectra can be estimated with high accuracy and negligible computational effort, vastly increasing the efficiency of cosmological parameter error determination. The techniques presented here allow calculation of microwave background power spectra $10^5$ times faster than comparably accurate direct codes (after precomputing a handful of power spectra). We discuss various issues of parameter estimation, including parameter degeneracies, numerical precision, mapping between physical and cosmological parameters, and systematic errors, and illustrate these considerations with an idealized model of the MAP experiment.
Thermodynamic estimation: Ionic materials
Glasser, Leslie, E-mail: l.glasser@curtin.edu.au
2013-10-15
Thermodynamics establishes equilibrium relations among thermodynamic parameters (“properties”) and delineates the effects of variation of the thermodynamic functions (typically temperature and pressure) on those parameters. However, classical thermodynamics does not provide values for the necessary thermodynamic properties, which must be established by extra-thermodynamic means such as experiment, theoretical calculation, or empirical estimation. While many values may be found in the numerous collected tables in the literature, these are necessarily incomplete because either the experimental measurements have not been made or the materials may be hypothetical. The current paper presents a number of simple and relible estimation methods for thermodynamic properties, principally for ionic materials. The results may also be used as a check for obvious errors in published values. The estimation methods described are typically based on addition of properties of individual ions, or sums of properties of neutral ion groups (such as “double” salts, in the Simple Salt Approximation), or based upon correlations such as with formula unit volumes (Volume-Based Thermodynamics). - Graphical abstract: Thermodynamic properties of ionic materials may be readily estimated by summation of the properties of individual ions, by summation of the properties of ‘double salts’, and by correlation with formula volume. Such estimates may fill gaps in the literature, and may also be used as checks of published values. This simplicity arises from exploitation of the fact that repulsive energy terms are of short range and very similar across materials, while coulombic interactions provide a very large component of the attractive energy in ionic systems. Display Omitted - Highlights: • Estimation methods for thermodynamic properties of ionic materials are introduced. • Methods are based on summation of single ions, multiple salts, and correlations. • Heat capacity, entropy, lattice energy, enthalpy, Gibbs energy values are available.
Structured estimation for the nonparametric Cox model
Bradic, J; Song, R
2015-01-01
2007), Sparsity oracle inequalities for the Lasso, Electron.Q. (2012), Hoefding’s inequality for super- martingales,Lemler, S. (2012), Oracle inequalities for the Lasso for the
Estimating transition times for a model of
Mitchener, W. Garrett
= mean usage rate of G2 dm dt = birth q(m) - death m 0.0 0.2 0.4 0.6 0.8 1.0 0.2 0.4 0.6 0.8 1.0 Mean at a rate k K Simplify K = 1: Each agent uses G1 (state 0) or G2 (state 1) @ Ck = number youth in state kD = death rate: each time step each adult dies with prob- ability pD = rD N , replaced by sampling from
Probabilistic models for mobile phone trajectory estimation
Thiagarajan, Arvind
2011-01-01
This dissertation is concerned with the problem of determining the track or trajectory of a mobile device - for example, a sequence of road segments on an outdoor map, or a sequence of rooms visited inside a building - in ...
Building unbiased estimators from non-Gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Sehgal, Neelima; McDonald, Patrick; Slosar, Anže E-mail: pvmcdonald@lbl.gov E-mail: anze@bnl.gov
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong's estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g|=0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze
2015-01-15
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmore »of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.« less
Lensed CMB simulation and parameter estimation
Antony Lewis
2010-11-16
Modelling of the weak lensing of the CMB will be crucial to obtain correct cosmological parameter constraints from forthcoming precision CMB anisotropy observations. The lensing affects the power spectrum as well as inducing non-Gaussianities. We discuss the simulation of full sky CMB maps in the weak lensing approximation and describe a fast numerical code. The series expansion in the deflection angle cannot be used to simulate accurate CMB maps, so a pixel remapping must be used. For parameter estimation accounting for the change in the power spectrum but assuming Gaussianity is sufficient to obtain accurate results up to Planck sensitivity using current tools. A fuller analysis may be required to obtain accurate error estimates and for more sensitive observations. We demonstrate a simple full sky simulation and subsequent parameter estimation at Planck-like sensitivity. The lensed CMB simulation and parameter estimation codes are publicly available.
MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
Van Aelst, Stefan
1 MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE Stefan Van Aelst-estimators for multivariate regression. We study the robustness of the estimators in terms of their breakdown point and in and multivariate location and scatter. Furthermore we develop a fast and robust bootstrap method
Unbiased Robust Template Estimation
Reuter, Martin
Unbiased Robust Template Estimation for Longitudinal Analysis in FreeSurfer Compared with cross-sectional may have a profound clinical impact. The current methods that utilize cross-sectional approaches, R. & Maguire, P. & Rosas, D. & Makris, N. & Dale, A. & Dickerson, B. & Fischl, B. (2006
4, 49995017, 2004 Increased Northern
Boyer, Edmond
that strong boreal forest fires in the HNH induced the increased CO burdens. 1. Introduction The importance forest fires, Andreae and Merlet, 2001). This is much larger than the global contribution from Tg/year) or from methane oxidation (760 Tg/year). The CO emission from HNH boreal forest fires
Does integration increase life satisfaction?
Koczan, Zs
2013-04-19
groups with no spillovers, especially due to changes in residence permit regulations. Changes could also be seen more as a process than an abrupt jump, as reflected by the gradual increase in naturalizations in the early 1990s. 21 alized naturalization...
Temperature-associated increases in the global soil respiration record
Bond-Lamberty, Benjamin; Thomson, Allison M.
2010-03-25
Soil respiration (RS), the flux of CO2 from the soil surface to the atmosphere, comprises the second-largest terrestrial carbon flux, but its dynamics are incompletely understood, and the global flux remains poorly constrained. Ecosystem warming experiments, modelling analyses, and biokinetics all suggest that RS should change with climate. This has been difficult to confirm observationally because of the high spatial variability of RS, inaccessibility of the soil medium, and inability of remote sensing instruments to measure large-scale RS fluxes. Given these constraints, is it possible to discern climate-driven changes in regional or global RS fluxes in the extant four-decade record of RS chamber measurements? Here we use a database of worldwide RS observations, matched with high-resolution historical climate data, to show a previously unknown temporal trend in the RS record after accounting for mean annual climate, leaf area, nitrogen deposition, and changes in CO2 measurement technique. Air temperature anomaly (deviation from the 1961-1990 mean) is significantly and positively correlated with changes in RS fluxes; both temperature and precipitation anomalies exert effects in specific biomes. We estimate that the current (2008) annual global RS flux is 98±12 Pg and has increased 0.1 Pg yr-1 over the last 20 years, implying a global RS temperature response (Q10) of 1.5. An increasing global RS flux does not necessarily constitute a positive feedback loop to the atmosphere; nonetheless, the available data are consistent with an acceleration of the terrestrial carbon cycle in response to global climate change.
Dispersivity estimates from a tracer experiment in a sandy aquifer
Mallants, D.; Espino, A.; Van Hoorick, M.; Feyen, J.; Vandenberghe, N.; Loy, W.
2000-04-01
The success or failure of transport models in predicting the migration of a contaminant plume is ground water depends to a large extent on the quality of flow and transport parameters used. In this study, the authors investigate the spatial variability in the tracer velocity and dispersivity in a shallow sandy aquifer in northern Belgium. Based on hydraulic conductivity measurements on cores sampled along a vertical profile, the aquifer was found to be mildly heterogeneous, i.e., with the variance of the log-transformed conductivity K, {sigma}{sup 2}{sub lnK}, equal to 0.22. By means of a natural gradient tracer experiment, transport of a chloride tracer was investigated in a three-dimensional network of multilevel point samplers (MLS). Least squares fitting of a two-dimensional transport model to the individual breakthrough curves resulted in an average longitudinal dispersivity that was 10 times larger than the transverse dispersivity. The results further showed the existence of a dispersion-scale effect whereby the depth-averaged longitudinal dispersivity increases with increasing travel distance. The average longitudinal dispersivity corresponding to a travel distance of 10 m was equal to 0.2 m. The authors finally show that theoretical expressions for the macroscopic dispersivity tensor, which require input on hydraulic conductivity heterogeneity, could be used here to approximate the observed dispersive behavior. These conceptually simple models are useful to estimate macroscopic dispersivities when no tracer data are available.
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.
Estimated recharge rates at the Hanford Site
Fayer, M.J.; Walters, T.B.
1995-02-01
The Ground-Water Surveillance Project monitors the distribution of contaminants in ground water at the Hanford Site for the U.S. Department of Energy. A subtask called {open_quotes}Water Budget at Hanford{close_quotes} was initiated in FY 1994. The objective of this subtask was to produce a defensible map of estimated recharge rates across the Hanford Site. Methods that have been used to estimate recharge rates at the Hanford Site include measurements (of drainage, water contents, and tracers) and computer modeling. For the simulations of 12 soil-vegetation combinations, the annual rates varied from 0.05 mm/yr for the Ephrata sandy loam with bunchgrass to 85.2 mm/yr for the same soil without vegetation. Water content data from the Grass Site in the 300 Area indicated that annual rates varied from 3.0 to 143.5 mm/yr during an 8-year period. The annual volume of estimated recharge was calculated to be 8.47 {times} 10{sup 9} L for the potential future Hanford Site (i.e., the portion of the current Site bounded by Highway 240 and the Columbia River). This total volume is similar to earlier estimates of natural recharge and is 2 to 10x higher than estimates of runoff and ground-water flow from higher elevations. Not only is the volume of natural recharge significant in comparison to other ground-water inputs, the distribution of estimated recharge is highly skewed to the disturbed sandy soils (i.e., the 200 Areas, where most contaminants originate). The lack of good estimates of the means and variances of the supporting data (i.e., the soil map, the vegetation/land use map, the model parameters) translates into large uncertainties in the recharge estimates. When combined, the significant quantity of estimated recharge, its high sensitivity to disturbance, and the unquantified uncertainty of the data and model parameters suggest that the defensibility of the recharge estimates should be improved.
Filtering and parameter estimation for electricity
Fournier, John J.F.
Filtering and parameter estimation for electricity markets by Alberto Molina-Escobar B to be particularly difficult for electricity, where markets are complex, and ex- hibit a number of unique features, mainly due to the problems involved in storing electricity. In this thesis we propose three models
County Level Wind Erosion Estimation Using National
, Fuller (1987), Rao (2003). 11 #12;Model searching for Wind Erosion In NRI, wind erosion WEQCounty Level Wind Erosion Estimation Using National Resources Inventory Survey Taps Maiti. · Approx. 3 points/PSU; 800,000 points in 1997 NRI 4 #12;· Data on Urban land, small water etc
Essays on Estimation of Inflation Equation
Kim, Woong
2009-05-15
. . . . . . . . . . . . 11 1. Models . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2. Numerical Analysis for the Theoretical Relationship . 13 3. Numerical Analysis for the Empirical Issues . . . . . . 25 C. Alternative Kurtosis... 3. Detection of Outliers . . . . . . . . . . . . . . . . . . . 71 C. Empirical Results . . . . . . . . . . . . . . . . . . . . . . . 73 D. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 IV ESTIMATION OF HYBRID PHILLIPS CURVE...
Magnetic nanoparticle temperature estimation
Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.
2009-05-15
The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.
Consumer Vehicle Choice Model Documentation
Liu, Changzheng; Greene, David L
2012-08-01
In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, “While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle.” Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.
Diesel prices continue to increase
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel prices continue to increase
Hosseini, Ali, M. Eng. Massachusetts Institute of Technology
2010-01-01
The knowledge of Anterior Cruciate Ligament (ACL) forces in-vivo is instrumental for understanding ACL injury mechanisms and for improvement of surgical ACL reconstruction. The goal of this thesis was to develop and implement ...
Kim, Myungsoo; Kim, Seok Won; Lee, Sung Uk; Lee, Nam Kwon; Jung, So-Youn; Kim, Tae Hyun; Lee, Eun Sook; Kang, Han-Sung; Shin, Kyung Hwan
2013-07-01
Purpose: The development of breast cancer-related lymphedema (LE) is closely related to the number of dissected axillary lymph nodes (N-ALNs), chemotherapy, and radiation therapy. In this study, we attempted to estimate the risk of LE based on combinations of these treatment-related factors. Methods and Materials: A total of 772 patients with breast cancer, who underwent primary surgery with axillary lymph node dissection from 2004 to 2009, were retrospectively analyzed. Adjuvant chemotherapy (ACT) was performed in 677 patients (88%). Among patients who received radiation therapy (n=675), 274 (35%) received supraclavicular radiation therapy (SCRT). Results: At a median follow-up of 5.1 years (range, 3.0-8.3 years), 127 patients had developed LE. The overall 5-year cumulative incidence of LE was 17%. Among the 127 affected patients, LE occurred within 2 years after surgery in 97 (76%) and within 3 years in 115 (91%) patients. Multivariate analysis showed that N-ALN (hazard ratio [HR], 2.81; P<.001), ACT (HR, 4.14; P=.048), and SCRT (HR, 3.24; P<.001) were independent risk factors for LE. The total number of risk factors correlated well with the incidence of LE. Patients with no risk or 1 risk factor showed a significantly lower 5-year probability of LE (3%) than patients with 2 (19%) or 3 risk factors (38%) (P<.001). Conclusions: The risk factors associated with LE were N-ALN, ACT, and SCRT. A simple model using combinations of these factors may help clinicians predict the risk of LE.
Using Photogrammetry to Estimate Tank Waste Volumes from Video
Field, Jim G. [Washington River Protection Solutions, LLC, Richland, WA (United States)
2013-03-27
Washington River Protection Solutions (WRPS) contracted with HiLine Engineering & Fabrication, Inc. to assess the accuracy of photogrammetry tools as compared to video Camera/CAD Modeling System (CCMS) estimates. This test report documents the results of using photogrammetry to estimate the volume of waste in tank 241-C-I04 from post-retrieval videos and results using photogrammetry to estimate the volume of waste piles in the CCMS test video.
Cheng, Shinko Yuanhsien
2007-01-01
Driver body-pose analysis . . . . . . . . . . . . . . . . .Body Pose Estimation . . . . . . . . . . . . . . . . .Mixture Model . . 4. Learning Pose using EM . . . . . .
Measurement enhancement for state estimation
Chen, Jian
2009-05-15
to accurately monitor the system operating state. State estimation is an essential tool in an energy management system (EMS). It is responsible for providing an accurate and correct estimate for the system operating state based on the available measurements...
Hydrocarbon Reservoir Parameter Estimation Using
van Vliet, Lucas J.
Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic #12;#12;Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic PROEFSCHRIFT ter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Recovery process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Field
Geothermal Electricity Technology Evaluation Model (GETEM) Development...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating the performance and...
Security enhanced with increased vehicle inspections
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Security enhanced with increased vehicle inspections Security measures increase as of March: vehicle inspections won't delay traffic New increased security procedures meet LANL's...
State energy data report 1996: Consumption estimates
1999-02-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.
Conditional Regression Forests for Human Pose Estimation Pushmeet Kohli
Kohli, Pushmeet
Conditional Regression Forests for Human Pose Estimation Min Sun Pushmeet Kohli Jamie Shotton estimation from depth images. The conditional regression model proposed in the paper is general and can body joint prediction as a regression problem which avoids intermediate body part classification
EPA 402-R-93-076 ESTIMATING RADIOGENIC CANCER RISKS
comparing health risk estimates due to low level exposures of low-LET radiation based on models recently This document presents a revised methodology for EPA's estimation of cancer risks due to low-LET radiation. With the exception of breast cancer, low-LET radiogenic cancer risks are assumed to be reduced by a dose and dose
DAMAGE ESTIMATION USING MULTI-OBJECTIVE GENETIC ALGORITHMS Faisal Shabbir
Boyer, Edmond
DAMAGE ESTIMATION USING MULTI-OBJECTIVE GENETIC ALGORITHMS Faisal Shabbir 1 , Piotr Omenzetter 2 1.omenzetter@abdn.ac.uk ABSTRACT It is common to estimate structural damage severity by updating a structural model against experimental responses at different damage states. When experimental results from the healthy and damaged
Parameter Estimation for the Heat Equation on Perforated Domains
Parameter Estimation for the Heat Equation on Perforated Domains H.T. Banks1 , D. Cioranescu2 , A for simulated data for heat flow in a porous medium. We consider data simulated from a model on a perforated Words: Inverse problems, parameter estimation, perforated domains, homogeniza- tion, thermal diffusion
Estimating long-term world coal production with logit and probit transforms David Rutledge
Low, Steven H.
Estimating long-term world coal production with logit and probit transforms David Rutledge form 27 October 2010 Accepted 27 October 2010 Available online 4 November 2010 Keywords: Coal reserves Coal resources Coal production estimates IPCC Logistic model Cumulative normal model An estimate
Projecting the climatic effects of increasing carbon dioxide
MacCracken, M C; Luther, F M
1985-12-01
This report presents the current knowns, unknowns, and uncertainties regarding the projected climate changes that might occur as a result of an increasing atmospheric CO/sub 2/ concentration. Further, the volume describes what research is required to estimate the magnitude and rate of a CO/sub 2/-induced clamate change with regional and seasonal resolution. Separate abstracts have been prepared for the individual papers. (ACR)
Technological Opportunities to Increase the Proliferation Resistance...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Opportunities to Increase the Proliferation Resistance of Global Civilian Nuclear Power Systems (TOPS) Technological Opportunities to Increase the Proliferation...
Of fishes and birthdays: Efficient estimation of polymer configurational entropies
Nemenman, Ilya; Strauss, Charlie E
2015-01-01
We present an algorithm to estimate the configurational entropy $S$ of a polymer. The algorithm uses the statistics of coincidences among random samples of configurations and is related to the catch-tag-release method for estimation of population sizes, and to the classic "birthday paradox". Bias in the entropy estimation is decreased by grouping configurations in nearly equiprobable partitions based on their energies, and estimating entropies separately within each partition. Whereas most entropy estimation algorithms require $N\\sim 2^{S}$ samples to achieve small bias, our approach typically needs only $N\\sim \\sqrt{2^{S}}$. Thus the algorithm can be applied to estimate protein free energies with increased accuracy and decreased computational cost.
Evaluation of mutual information estimators on nonlinear dynamic systems
A. Papana; D. Kugiumtzis
2008-09-12
Mutual information is a nonlinear measure used in time series analysis in order to measure the linear and non-linear correlations at any lag $\\tau$. The aim of this study is to evaluate some of the most commonly used mutual information estimators, i.e. estimators based on histograms (with fixed or adaptive bin size), $k$-nearest neighbors and kernels. We assess the accuracy of the estimators by Monte-Carlo simulations on time series from nonlinear dynamical systems of varying complexity. As the true mutual information is generally unknown, we investigate the existence and rate of consistency of the estimators (convergence to a stable value with the increase of time series length), and the degree of deviation among the estimators. The results show that the $k$-nearest neighbor estimator is the most stable and less affected by the method-specific parameter.