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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De laLand-BasedRegistration RegisterTravel
CNMS UEC Agenda, Thursday, January 9, 2014
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of EnergyOn-Farm1 of 62.1Energy,Busy Week May" 9TRG2:UEC Agenda, Thursday,
CNMS UEC Agenda, Tuesday, July 7, 2015
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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CNMS UEC Agenda, Wednesday, August 6, 2014
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of EnergyOn-Farm1 of 62.1Energy,Busy Week May" 9TRG2:UEC Agenda,
CNMS UEC Agenda, Wednesday, February 5, 2014
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of EnergyOn-Farm1 of 62.1Energy,Busy Week May" 9TRG2:UEC Agenda,February 5,
CNMS UEC Agenda, Wednesday, July 2, 2014
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CNMS UEC Agenda, Wednesday, September 3, 2014
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey InsideMicroBooNE LArTPC SarahArea:SecuritypeopleLANL HIPAALosHNETL4, 2009ofUEC Lunch Meeting
UEC MSP OPSYE, Technologie des centrales nuclaires Projets d'Approfondissement Autonome
Ravelet, Florent
disponibles sur http://florent.ravelet.free.fr/uec.html Liens utiles : http://organic-rankine divisé en deux équipes mises en concurrence. Les cycles à réaliser sont du type cycle de Hirn-Rankine. Le
A SIMPLEX-BASED PROJECTIVE TRANSFORM ESTIMATOR
Robinson, John A.
A SIMPLEX-BASED PROJECTIVE TRANSFORM ESTIMATOR J A Robinson University of York, UK. INTRODUCTION. THE SAM ESTIMATOR The estimator to be described here is called Simplex-Adapted Mesh (SAM). It has two to in the name a sparse sam- ple mesh and the Nelder-Mead simplex and is more novel. For convenience I use
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of5, 2014 | Release Date:ProductionAdministration5t3/2013 UEC lunch
Wavelet Based Estimation for Univariate Stable Laws
GonÃ§alves, Paulo
Wavelet Based Estimation for Univariate Stable Laws Anestis Antoniadis Laboratoire IMAG to implement. This article describes a fast, wavelet-based, regression-type method for estimating the parameters of a stable distribution. Fourier domain representations, combined with a wavelet multiresolution
2013 UEC Tokyo. Real-time Mobile Food
Yanai, Keiji
. miso soup 3. Egg sunny-side up 4. Sirloin cutlet 5. Salmom meuniere 6. Fried fish 7. Boiled fish 8 · Real-time image recognition · Estimation of the more reliable direction 3 key features of the system the result The window with the maximum score Estimation of the more reliable direction 1 result #12; 2013
Image-based meteorologic visibility estimation
Graves, Nathan
2011-01-01T23:59:59.000Z
the estimated luminance. . . . . . . . . . . . . . . . . .Nephelometer . . . . . . 3.4.3 Luminance Meter . . . . 4intensity and the estimated luminance. . . . . . . . . .
An approach to Bayesian based Effort Estimation
Bae, Doo-Hwan
project/activities and performing cost/benefits analysis Early estimate and accurate evaluation can of considering to estimate effort for software maintenance in view of system architecture Not enough to reflect as to requirement in architecture Lack of supporting to estimate effort for software maintenance in view
Kernel Density Based Linear Regression Estimate and Zhibiao Zhao
Zhao, Zhibiao
Kernel Density Based Linear Regression Estimate Weixin Yao and Zhibiao Zhao Abstract For linear regression models with non-normally distributed errors, the least squares estimate (LSE) will lose some words: EM algorithm, Kernel density estimate, Least squares estimate, Linear regression, Maximum
Crop acreage estimators based on satellite imagery
Vidart, Stephane
1983-01-01T23:59:59.000Z
of S and K. That attempt requires that equations J z (x T(x /s)+x v(x /s) ij (Xl +X2) f ((X. +X. )/S) lj 2j lj 2j = X log(p ) + X log(P ) ? (X +X )log(P +P ), be solved for S and J Z ((T -X . ) V((T -X )/KS) ? T. 'P(T /Ks)+X III(X /Ks)) = X log... Estimators 15 4. ESTIMATION OF THE PARAMETERS OF THE KDP 18 4. 1 Moment Estimates of the KDP 4. 2 Other Estimation Techniques 18 20 4. 2. 1 Need for new estimates 4. 2. 2 Maximum likelihood estimators of S and K 4. 2. 3 Other estimators . 20 21 23...
Spatial Sequence Estimation Based Decoding Algorithm for V-BLAST
Al-Ghadhban, Samir
Spatial Sequence Estimation Based Decoding Algorithm for V-BLAST Maruf Mohammad, Samir Al degrades the performance. A detection algorithm for V-BLAST based on sequence estimation is proposed. The concept of maximum likelihood sequence estimation (MLSE) is applied to combat spatial interference. State
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01T23:59:59.000Z
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
Mesoscale ensemble-based data assimilation and parameter estimation
Aksoy, Altug
2005-11-01T23:59:59.000Z
-1 MESOSCALE ENSEMBLE-BASED DATA ASSIMILATION AND PARAMETER ESTIMATION A Dissertation by ALTUG AKSOY Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR... OF PHILOSOPHY August 2005 Major Subject: Atmospheric Sciences MESOSCALE ENSEMBLE-BASED DATA ASSIMILATION AND PARAMETER ESTIMATION A Dissertation by ALTUG AKSOY Submitted to the Office of Graduate Studies of Texas A...
Simplex-based screening designs for estimating metamodels
Boyer, Edmond
by one factor. In this article, we introduce a non-OAT simplex-based design for the elementary effectsSimplex-based screening designs for estimating metamodels Gilles Pujol Ecole Nationale Superieure experiments, sensitivity analysis, factor screening, elementary effect, simplex design 1 Introduction
CALIBRATING C-IV-BASED BLACK HOLE MASS ESTIMATORS
Park, Daeseong; Woo, Jong-Hak; Shin, Jaejin [Astronomy Program, Department of Physics and Astronomy, Seoul National University, Seoul 151-742 (Korea, Republic of); Denney, Kelly D., E-mail: pds2001@astro.snu.ac.kr, E-mail: woo@astro.snu.ac.kr, E-mail: jjshin@astro.snu.ac.kr, E-mail: kelly@dark-cosmology.dk [Dark Cosmology Centre, Niels Bohr Institute, Juliane Maries Vej 30, DK-2100 Copenhagen O (Denmark)
2013-06-20T23:59:59.000Z
We present the single-epoch black hole mass estimators based on the C IV {lambda}1549 broad emission line, using the updated sample of the reverberation-mapped active galactic nuclei and high-quality UV spectra. By performing multi-component spectral fitting analysis, we measure the C IV line widths (FWHM{sub C{sub IV}} and line dispersion, {sigma}{sub C{sub IV}}) and the continuum luminosity at 1350 A (L{sub 1350}) to calibrate the C-IV-based mass estimators. By comparing with the H{beta} reverberation-based masses, we provide new mass estimators with the best-fit relationships, i.e., M{sub BH}{proportional_to}L{sub 1350}{sup 0.50{+-}0.07}{sigma}{sub C{sub IV}{sup 2}} and M{sub BH}{proportional_to}L{sub 1350}{sup 0.52{+-}0.09} FWHM{sub C{sub IV}{sup 0.56{+-}0.48}}. The new C-IV-based mass estimators show significant mass-dependent systematic difference compared to the estimators commonly used in the literature. Using the published Sloan Digital Sky Survey QSO catalog, we show that the black hole mass of high-redshift QSOs decreases on average by {approx}0.25 dex if our recipe is adopted.
Estimation of Degradation-Based Reliability in Outdoor Environments
Estimation of Degradation-Based Reliability in Outdoor Environments Victor Chan and William Q degradation of materials or products that are exposed to the outdoor environment. There is a growing need to obtain timely predictions of such degradation behaviors on the basis of accelerated laboratory tests
Aldrin, Magne
the Norwegian coast, feed in the Norwegian Sea and adjacent areas, and overwinter in various partsEstimating and decomposing total uncertainty for survey-based abundance estimates of Norwegian uncertainty for survey-based abundance estimates of Norwegian spring-spawning herring. ICES Journal
Disk storage management for LHCb based on Data Popularity estimator
Hushchyn, Mikhail; Ustyuzhanin, Andrey
2015-01-01T23:59:59.000Z
This paper presents a system providing recommendations for optimizing the LHCb data storage. The LHCb data storage system is a hybrid system. All datasets are kept as archives on magnetic tapes. The most popular datasets are kept on disks. The recommendation system takes the dataset usage history and metadata (size, type, configuration etc.) to generate a recommendation report. In this article present how we use machine learning algorithms to predict future data popularity. Using these predictions it is possible to estimate which datasets should be removed from disk. We use regression algorithms and time series analysis to find the optimal number of replicas for datasets that are kept on disk. Based on the data popularity and the number of replicas optimization, the recommendation system minimizes a loss function to find the optimal data distribution. The loss function represents all requirements for data distribution in the data storage system. We demonstrate how the recommendation system helps to save disk ...
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01T23:59:59.000Z
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.
Kutas, Marta
Regression-based estimation of ERP waveforms: II. Nonlinear effects, overlap correction regression-based approach to estimating ERP waveforms. Here, we build on this foundation, showing how rERP framework provides a flexible way to adapt well-known regression techniques to the problem of estimating
A Proposed Method for Improving Residential Heating Energy Estimates Based on Billing Data
Lee, A. D.; Hadley, D. L.
1988-01-01T23:59:59.000Z
empirical energy consumption data, however, provide a basis for alternative ways to estimate program effects that utilize the empirical data. The PRISM methodology uses relatively inexpensive billing and weather data to estimate base and temperature...
2009-01-01T23:59:59.000Z
eddy covariance – based NEP has been tested against itscovariance – based estimates of NEP, GPP and Re but addsbased flux estimates of NEP, GPP, and Re require independent
A method to estimate the Leslie coefficients of liquid crystals based on MBBA data
Wu, Shin-Tson
A method to estimate the Leslie coefficients of liquid crystals based on MBBA data HAIYING WANG ) A new effective approach for estimating the Leslie coefficients of liquid crystals based on MBBA data of the Leslie coefficients based on the MBBA data. We used the published temperature-dependent MBBA data to fit
Simulation-based comparison of TCP retransmission timeout estimators
Shankarkumar, Vinaychandra
2000-01-01T23:59:59.000Z
The implementation of the retransmission timeout estimator for TCP re-initializes the timer with the retransmit timeout (RTO) after receiving an acknowledgement (ACK), if any more segments are in flight. This allows an ...
Kundu, Debasis
11]), in biomedical signal processing ([12,13]), modeling of biological systems ([14,15]), radio location of distant problem in digital signal processing. In this paper, we consider the problem of estimation of parameters are present in a variety of signal processing applications and time series data analysis. The review work
Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint
Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.
2013-05-01T23:59:59.000Z
The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.
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
On-line Structure and Motion Estimation based on an Novel Parameterized Extended Kalman Filter
Lunds Universitet
On-line Structure and Motion Estimation based on an Novel Parameterized Extended Kalman Filter sequences. The proposed method is based on an extended Kalman filter and a novel parameterization. We assume. Then we apply an extended Kalman filter for estimation of both structure and motion. The performance
BER Estimation for Serial Links Based on Jitter Spectrum and Clock Recovery Characteristics
BER Estimation for Serial Links Based on Jitter Spectrum and Clock Recovery Characteristics Dongwoo technique estimates the BER based on the spectral information of jitter and the characteristics of the clock-volume production testing [1]. One of the major contributors to the BER is jitter. Jitter is defined
Techniques and Technology Article Road-Based Surveys for Estimating Wild Turkey Density
Wallace, Mark C.
Techniques and Technology Article Road-Based Surveys for Estimating Wild Turkey Density-transectbased distance sampling has been used to estimate density of several wild bird species including wild turkeys (Meleagris gallopavo). We used inflatable turkey decoys during autumn (AugNov) and winter (DecMar) 2003
A Simple Biomass-Based Length-Cohort Analysis for Estimating Biomass and Fishing Mortality
A Simple Biomass-Based Length-Cohort Analysis for Estimating Biomass and Fishing Mortality CHANG IK, Washington 98115, USA Abstract.--A biomass-based length-cohort analysis (LCA) was examined for its performance in estimating total stock biomass and fishing mortality (F) for a population in equilibrium. We
Wavelet-Based Parameter Estimation for Trend Contaminated Fractionally Differenced Processes
Washington at Seattle, University of
Wavelet-Based Parameter Estimation for Trend Contaminated Fractionally Differenced Processes Peter to scientific problems in the environmental and ecological sciences. #12;#12;Wavelet-Based Parameter Estimation of polynomial trend plus FD noise and apply the discrete wavelet transform (DWT) to separate a time series
2009-01-01T23:59:59.000Z
estimates of annual carbon sequestration in a Sitka spruce (carbon cycling in a temperate forest: Radiocarbon-based estimates of residence times, sequestration
Linear Tuning and Estimates for the Initial Beam Based Alignment
of the magnetic centre of the magnets with respect to the local BPM (i.e. determination of BPM offsets), and 2 is "zeroed" at each down stream BPM. The position of the beam with respect to the magnet centres is then given by the accuracy to which the BPM offset was determined (point 1 above.) After beam-based alignment
High-Level Energy Estimation for ARM-Based SOCs
Cotofana, Sorin
-- In recent years, power consumption has become a critical concern for many VLSI systems. Whereas several case power consumption. Therefore, the energy-efficient design of portable, battery-powered systems demands and analysis tool for ARM based system-on-chip designs. The tool integrates the behavior and energy models
ChurnDetect: A Gossip-based Churn Estimator for Large-Scale Dynamic Networks
Langendoen, Koen
ChurnDetect: A Gossip-based Churn Estimator for Large-Scale Dynamic Networks Andrei Pruteanu1 computations, such as online detection of network churn, via distributed, robust and scalable algorithms. In this paper we introduce the ChurnDetect algorithm, a novel solution to the distributed churn estimation
An indirect transmission measurement-based spectrum estimation method for computed tomography
Zhao, Wei; Schafer, Sebastian; Royalty, Kevin
2015-01-01T23:59:59.000Z
The characteristics of an x-ray spectrum can greatly influence imaging and related tasks. In practice, due to the pile-up effect of the detector, it's difficult to directly measure the spectrum of a CT scanner using an energy resolved detector. An alternative solution is to estimate the spectrum using transmission measurements with a step phantom or other CT phantom. In this work, we present a new spectrum estimation method based on indirect transmission measurement and model spectra mixture approach. The estimated x-ray spectrum was expressed as weighted summation of a set of model spectra, which can significantly reduce the degrees of freedom (DOF) of the spectrum estimation problem. Next, an estimated projection can be calculated with the assumed spectrum. By iteratively updating the unknown weights, we minimized the difference between the estimated projection data and the raw projection data. The final spectrum was calculated with these calibrated weights and the model spectra. Both simulation and experim...
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
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.
Complete System Power Estimation: A Trickle-Down Approach Based on Performance Events
John, Lizy Kurian
Complete System Power Estimation: A Trickle-Down Approach Based on Performance Events W. Lloyd of microprocessor performance counters for online measurement of complete system power consumption. While past knowledge, we are the first to create power models for the entire system based on processor performance
Regression-based estimation of ERP waveforms: I. The rERP framework
Kutas, Marta
Regression-based estimation of ERP waveforms: I. The rERP framework NATHANIEL J. SMITHa AND MARTA Science and Neurosciences, University of California, San Diego, San Diego, California, USA Abstract ERP of experimental designs. We introduce the regression-based rERP framework, which extends ERP averaging to handle
Adaptive and Non-Adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in
Paris-Sud XI, Université de
Adaptive and Non-Adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in ML presented in [1] for estimation of sparse In- ter Symbol Interface (ISI) channels which will appear method based on SL0 sparse signal representation is proposed. ISI channel estimation will have a direct
Local Frequency Based Estimators for Anomaly Detection in Oil and Gas Applications
Slatton, Clint
Local Frequency Based Estimators for Anomaly Detection in Oil and Gas Applications Alexander Singh industrial applications such as the smart grid and oil and gas are continuously monitored. The massive to positively impact the bottom line. In the oil and gas industry, modern oil rigs are outfitted with thousands
Estimation of Indoor Physical Activity Level Based on Footstep Vibration Signal Measured
Helal, Abdelsalam
. Dif- ferent from image sensor and sound sensor, MEMS accelerometer sensor can measure some biomedical, Localization of footstep source, MEMS accelerometer, Personal health care, Sensor net- work, Smart home. 1Estimation of Indoor Physical Activity Level Based on Footstep Vibration Signal Measured by MEMS
A coherent sampling-based method for estimating the jitter used as entropy source for
Paris-Sud XI, Université de
A coherent sampling-based method for estimating the jitter used as entropy source for True Random: The paper presents a method, which can be employed to measure the timing jitter present in periodic clock be easily implemented inside the chip in order to test online the jitter source. The method was carefully
Title of dissertation: STATISTICAL INFERENCE BASED ON ESTIMATING FUNCTIONS IN EXACT
Yorke, James
ABSTRACT Title of dissertation: STATISTICAL INFERENCE BASED ON ESTIMATING FUNCTIONS IN EXACT AND MISSPECIFIED MODELS Ryan Janicki, Doctor of Philosophy, 2009 Dissertation directed by: Professor Abram Kagan in Exact and Misspecified Models by Ryan Janicki Dissertation submitted to the Faculty of the Graduate
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
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
Posterior Probability Estimation Techniques Embedded in a Bayes Filter for Vibration-based
Zell, Andreas
Posterior Probability Estimation Techniques Embedded in a Bayes Filter for Vibration-based Terrain Classification Philippe Komma and Andreas Zell Abstract Vibration signals acquired during robot traversal provide] or ladar sensors [15, 10] can be employed. Recently, several researchers considered vehicle vibrations
Lobe-based Estimating Ventilation and Perfusion from 3D CT scans of the Lungs
Warren, Joe
Lobe-based Estimating Ventilation and Perfusion from 3D CT scans of the Lungs Travis McPhail Joe Warren Rice University Thomas Guerrero, M.D. M.D. Anderson Cancer Center Introduction Lung cancer for lung cancer includes surgical removal or radiation therapy. 3D imaging technologies such CT, MRI
Wehrli, Bernhard
on magnetically active, young Sun-like stars have energies and frequencies markedly in excess of strong solar to the use of direct flare observations, we evaluate the probabilities of large-energy solar eventsEstimating the frequency of extremely energetic solar events, based on solar, stellar, lunar
Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics
Sun, Sean
Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics the equilibrium free energy and the nonequilibrium work is useful for computer simulations. In this paper, we exploit the fact that the free energy is a state function, independent of the pathway taken to change
Estimating future global per capita water availability based on changes in climate and population
Minnesota, University of
Estimating future global per capita water availability based on changes in climate and population: Received 22 September 2011 Received in revised form 16 December 2011 Accepted 26 January 2012 Available availability a b s t r a c t Human populations are profoundly affected by water stress, or the lack
The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Qi,Tang; Xie,Shaocheng
The ARM Best Estimate Station-based Surface (ARMBESTNS) data set merges together key surface measurements from the Southern Great Plains (SGP) sites. It is a twin data product of the ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set. Unlike the 2DGRID data set, the STNS data are reported at the original site locations and show the original information, except for the interpolation over time. Therefore, users have the flexibility to process the data with the approach more suitable for their applications.
2009-01-01T23:59:59.000Z
based and biometric estimates of ecosystem carbon balance S.Uncertainty of annual net ecosystem productivity estimatedand par- titioning of ecosystem respiration in a southern
A robust and efficient estimator of Sharpe ratios based on price records
Challet, Damien
2015-01-01T23:59:59.000Z
Sharpe ratios are much used in finance, yet cannot be measured directly because price returns are non-Gaussian. On the other hand, the number of records of a discrete-time random walk in a given time-interval follows a Gaussian distribution provided that its increment distribution has finite variance. As as consequence, record statistics of uncorrelated, biased, random walks provide an attractive new estimator of Sharpe ratios. First, I derive an approximate expression of the expected number of price records in a given time interval when the increments follow Student's t distribution with tail exponent equal to 4 in the limit of vanishing Sharpe ratios. Remarkably, this expression explicitly links the expected record numbers to Sharpe ratios and and suggests to estimate the average Sharpe ratio from record statistics. Numerically, the asymptotic efficiency of a permutation estimator of Sharpe ratios based on record statistics is several times larger than that of the t-statistics for uncorrelated returns with ...
On the estimation of the extremal index based on scaling and resampling
Hamidieh, Kamal; Michailidis, George
2010-01-01T23:59:59.000Z
The extremal index parameter theta characterizes the degree of local dependence in the extremes of a stationary time series and has important applications in a number of areas, such as hydrology, telecommunications, finance and environmental studies. In this study, a novel estimator for theta based on the asymptotic scaling of block-maxima and resampling is introduced. It is shown to be consistent and asymptotically normal for a large class of m-dependent time series. Further, a procedure for the automatic selection of its tuning parameter is developed and different types of confidence intervals that prove useful in practice proposed. The performance of the estimator is examined through simulations, which show its highly competitive behavior. Finally, the estimator is applied to three real data sets of daily crude oil prices, daily returns of the S&P 500 stock index, and high-frequency, intra-day traded volumes of a stock. These applications demonstrate additional diagnostic features of statistical plots ...
Wavelet-based density estimation for noise reduction in plasma simulations using particles
Nguyen van yen, Romain [Laboratoire de Meteorologie Dynamique-CNRL, Ecole Normale Superieure; Del-Castillo-Negrete, Diego B [ORNL; Schneider, Kai [Universite d'Aix-Marseille; Farge, Marie [Laboratoire de Meteorologie Dynamique-CNRL, Ecole Normale Superieure; Chen, Guangye [ORNL
2010-01-01T23:59:59.000Z
For given computational resources, one of the main limitations in the accuracy of plasma simulations using particles comes from the noise due to limited statistical sampling in the reconstruction of the particle distribution function. A method based on wavelet multiresolution analysis is proposed and tested to reduce this noise. The method, known as wavelet based density estimation (WBDE), was previously introduced in the statistical literature to estimate probability densities given a nite number of independent measurements. Its novel application to plasma simulations can be viewed as a natural extension of the nite size particles (FSP) approach, with the advantage of estimating more accurately distribution functions that have localized sharp features. The proposed method preserves the moments of the particle distribution function to a good level of accuracy, has no constraints on the dimensionality of the system, does not require an a priori selection of a global smoothing scale, and its able to adapt locally to the smoothness of the density based on the given discrete particle data. Most importantly, the computational cost of the denoising stage is of the same order as one timestep of a FSP simulation. The method is compared with a recently proposed proper orthogonal decomposition based method, and it is tested with particle data corresponding to strongly collisional, weakly collisional, and collisionless plasmas simulations.
Comparison of Fourier and model-based estimators in single mode multiaxial interferometry
E. Tatulli; J. -B. LeBouquin
2006-02-15T23:59:59.000Z
There are several solutions to code the signal arising from optical long baseline multi-aperture interferometers. In this paper,we focus on the {\\bf non homothetic spatial coding scheme} (multiaxial) with the fringe pattern coded along one dimension on one detector(all-in-one). After describing the physical principles governing single mode interferometers using that sort of recombination scheme, we analyze two different existing methods that measure the source visibility. The first technique, so-called Fourier estimator, consists in integrating the high frequency peak of the power spectral density of the interferogram. The second method, so-called model-based estimator, has been specifically developed for the AMBER instrument of the VLTI and deals with directly modelling the interferogram recorded on the detector. Performances of both estimators are computed in terms of Signal to Noise Ratio (SNR) of the visibility, assuming that the interferograms are perturbed by photon and detector noises. Theoretical expressions of the visibility SNR are provided, validated through numerical computations and then compared. We show that the model-based estimator offers up to 5 times better performances than the Fourier one.
Reconnaissance Estimates of Recharge Based on an Elevation-dependent Chloride Mass-balance Approach
Charles E. Russell; Tim Minor
2002-08-31T23:59:59.000Z
Significant uncertainty is associated with efforts to quantity recharge in arid regions such as southern Nevada. However, accurate estimates of groundwater recharge are necessary to understanding the long-term sustainability of groundwater resources and predictions of groundwater flow rates and directions. Currently, the most widely accepted method for estimating recharge in southern Nevada is the Maxey and Eakin method. This method has been applied to most basins within Nevada and has been independently verified as a reconnaissance-level estimate of recharge through several studies. Recharge estimates derived from the Maxey and Eakin and other recharge methodologies ultimately based upon measures or estimates of groundwater discharge (outflow methods) should be augmented by a tracer-based aquifer-response method. The objective of this study was to improve an existing aquifer-response method that was based on the chloride mass-balance approach. Improvements were designed to incorporate spatial variability within recharge areas (rather than recharge as a lumped parameter), develop a more defendable lower limit of recharge, and differentiate local recharge from recharge emanating as interbasin flux. Seventeen springs, located in the Sheep Range, Spring Mountains, and on the Nevada Test Site were sampled during the course of this study and their discharge was measured. The chloride and bromide concentrations of the springs were determined. Discharge and chloride concentrations from these springs were compared to estimates provided by previously published reports. A literature search yielded previously published estimates of chloride flux to the land surface. {sup 36}Cl/Cl ratios and discharge rates of the three largest springs in the Amargosa Springs discharge area were compiled from various sources. This information was utilized to determine an effective chloride concentration for recharging precipitation and its associated uncertainty via Monte Carlo simulations. Previously developed isohyetal maps were utilized to determine the mean and standard deviation of precipitation within the area. A digital elevation model was obtained to provide elevation information. A geologic model was obtained to provide the spatial distribution of alluvial formations. Both were used to define the lower limit of recharge. In addition, 40 boreholes located in alluvial sediments were drilled and sampled in an attempt to support the argument that the areal distribution of alluvial sediments can be used to define a zone of negligible recharge. The data were compiled in a geographic information system and used in a Monte Carlo analysis to determine recharge occurring within the study area. Results of the analysis yielded estimates of the mean and standard deviation of recharge occurring within the study area (28.168 x 10{sup 6} m{sup 3} yr{sup -1} and 7.008 x 10{sup 6} m{sup 3} yr{sup -1}, and 26.838 x 10{sup 6} m{sup 3} yr{sup -1} and 6.928 x 10{sup 6} m{sup 3} yr{sup -1}) for two sets of simulations using alternate definitions of the lower limit of recharge. A sensitivity analysis determined the recharge estimates were most sensitive to uncertainty associated with the chloride concentration of the spring discharge. The second most sensitive parameter was the uncertainty associated with the mean precipitation within the recharge areas. Comparison of the analysis to previously published estimates of recharge revealed mixed results with the recharge estimates derived during the course of this project generally greater relative to previously published estimates.
UEC election results announced | EMSL
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Angela Wilson (Past-Chair), University of North Texas Simon Bare, UOP LLC, a Honeywell Company Jeffrey Catalano, Washington University in St. Louis Mary Gilles, Lawrence...
Paris-Sud XI, Université de
Adaptive Kalman Filter for MEMS-IMU based Attitude Estimation under External Acceleration a viable quaternion-based Adaptive Kalman Filter (q-AKF) that is designed for rigid body attitude estimation. This approach is an alternative to overcome the limitations of the classical Kalman filter. The q
Small-Area Estimation based on Survey Data from a Left-Censored Fay-Herriot Model
Maryland at College Park, University of
Administration's monthly crude oil report is based on a survey (EIA-813, http://www.eiaSmall-Area Estimation based on Survey Data from a Left-Censored Fay-Herriot Model Eric V. Slud, survey estimation. This paper describes research and analysis of its authors, and is released to in- form
Estimates for Pu-239 loadings in burial ground culverts based on fast/slow neutron measurements
Winn, W.G.; Hochel, R.C.; Hofstetter, K.J.; Sigg, R.A.
1989-08-15T23:59:59.000Z
This report provides guideline estimates for Pu-239 mass loadings in selected burial ground culverts. The relatively high recorded Pu-239 contents of these culverts have been appraised as suspect relative to criticality concerns, because they were assayed only with the solid waste monitor (SWM) per gamma-ray counting. After 1985, subsequent waste was also assayed with the neutron coincidence counter (NCC), and a comparison of the assay methods showed that the NCC generally yielded higher assays than the SWM. These higher NCC readings signaled a need to conduct non-destructive/non-intrusive nuclear interrogations of these culverts, and a technical team conducted scoping measurements to illustrate potential assay methods based on neutron and/or gamma counting. A fast/slow neutron method has been developed to estimate the Pu-239 in the culverts. In addition, loading records include the SWM assays of all Pu-239 cuts of some of the culvert drums and these data are useful in estimating the corresponding NCC drum assays from NCC vs SWM data. Together, these methods yield predictions based on direct measurements and statistical inference.
Evolution of Meteorological Base Models for Estimating Hourly Global Solar Radiation in Texas
Kim, H.; Baltazar, J.C.; Haberl, J.S
ESL-PA-13-11-01 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 Kima,b*, Juan-Carlos Baltazarb, and Jeff S. Haberla,b aDepartment of Architecture, Texas A&M University, 3137 TAMU, College Station, TX 77843-3137, U.S.A. bEnergy Systems Laboratory, Texas A...
Evaluation of Clear Sky Models for Satellite-Based Irradiance Estimates
Sengupta, M.; Gotseff, P.
2013-12-01T23:59:59.000Z
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.
Myers, D. R.
2009-03-01T23:59:59.000Z
The availability of rotating shadow band radiometer measurement data at several new stations provides an opportunity to compare historical satellite-based estimates of solar resources with measurements. We compare mean monthly daily total (MMDT) solar radiation data from eight years of NSRDB and 22 years of NASA hourly global horizontal and direct beam solar estimates with measured data from three stations, collected after the end of the available resource estimates.
Nair, Remya; Tanaka, Takahiro
2015-01-01T23:59:59.000Z
We study the advantage of the co-existence of future ground and space based gravitational wave detectors, in estimating the parameters of a binary coalescence. Using the post-Newtonian waveform for the inspiral of non-spinning neutron star-black hole pairs in circular orbits, we study how the estimates for chirp mass, symmetric mass ratio, and time and phase at coalescence are improved by combining the data from different space-ground detector pairs. Since the gravitational waves produced by binary coalescence also provide a suitable domain where we can study strong field gravity, we also study the deviations from general relativity using the parameterized post-Einsteinian framework. As an example, focusing on the Einstein telescope and DECIGO pair, we demonstrate that there exists a sweet spot range of sensitivity in the pre-DECIGO phase where the best enhancement due to the synergy effect can be obtained for the estimates of the post-Newtonian waveform parameters as well as the modification parameters to ge...
Using parallel computation to improve Independent Metropolis--Hastings based estimation
Jacob, Pierre; Smith, Murray H
2010-01-01T23:59:59.000Z
In this paper, we consider the implications of the fact that parallel raw-power can be exploited by a generic Metropolis--Hastings algorithm if the proposed values are independent. In particular, we present improvements to the independent Metropolis--Hastings algorithm that significantly decrease the variance of any estimator derived from the MCMC output, for a null computing cost since those improvements are based on a fixed number of target density evaluations. Furthermore, the techniques developed in this paper do not jeopardize the Markovian convergence properties of the algorithm, since they are based on the Rao--Blackwell principles of Gelfand and Smith (1990), already exploited in Casella and Robert (1996), Atchade and Perron (2005) and Douc and Robert (2010). We illustrate those improvement both on a toy normal example and on a classical probit regression model but insist on the fact that they are universally applicable.
Reliable clock estimation using linear weighted fusion based on pairwise broadcast synchronization
Shi, Xin, E-mail: xinshih86029@gmail.com; Zhao, Xiangmo, E-mail: xinshih86029@gmail.com; Hui, Fei, E-mail: xinshih86029@gmail.com; Ma, Junyan, E-mail: xinshih86029@gmail.com; Yang, Lan, E-mail: xinshih86029@gmail.com [School of Information Engineering, Chang'an University, Xi'an City (China)
2014-10-06T23:59:59.000Z
Clock synchronization in wireless sensor networks (WSNs) has been studied extensively in recent years and many protocols are put forward based on the point of statistical signal processing, which is an effective way to optimize accuracy. However, the accuracy derived from the statistical data can be improved mainly by sufficient packets exchange, which will consume the limited power resources greatly. In this paper, a reliable clock estimation using linear weighted fusion based on pairwise broadcast synchronization is proposed to optimize sync accuracy without expending additional sync packets. As a contribution, a linear weighted fusion scheme for multiple clock deviations is constructed with the collaborative sensing of clock timestamp. And the fusion weight is defined by the covariance of sync errors for different clock deviations. Extensive simulation results show that the proposed approach can achieve better performance in terms of sync overhead and sync accuracy.
Reassessment of the technical bases for estimating source terms. Final report
Silberberg, M.; Mitchell, J.A.; Meyer, R.O.; Ryder, C.P.
1986-07-01T23:59:59.000Z
This document describes a major advance in the technology for calculating source terms from postulated accidents at US light-water reactors. The improved technology consists of (1) an extensive data base from severe accident research programs initiated following the TMI accident, (2) a set of coupled and integrated computer codes (the Source Term Code Package), which models key aspects of fission product behavior under severe accident conditions, and (3) a number of detailed mechanistic codes that bridge the gap between the data base and the Source Term Code Package. The improved understanding of severe accident phenonmena has also allowed an identification of significant sources of uncertainty, which should be considered in estimating source terms. These sources of uncertainty are also described in this document. The current technology provides a significant improvement in evaluating source terms over that available at the time of the Reactor Safety Study (WASH-1400) and, because of this significance, the Nuclear Regulatory Commission staff is recommending its use.
Vision-based head pose estimation and interactivity analysis : algorithms, systems and evaluation
Murphy-Chutorian, Erik Marshall
2009-01-01T23:59:59.000Z
1.3 Head Pose Estimation Methods . . . . . .Chapter 1 A Survey of Head Pose Estimation in Computer 1.11.4 Head Pose Estimation Comparisons . . . . . . . . 1.4.1
Pose and Motion Estimation Using Dual Quaternion-Based Extended Kalman Filtering
Goddard, J.S.; Abidi, M.A.
1998-06-01T23:59:59.000Z
A solution to the remote three-dimensional (3-D) measurement problem is presented for a dynamic system given a sequence of two-dimensional (2-D) intensity images of a moving object. The 3-D transformation is modeled as a nonlinear stochastic system with the state estimate providing the six-degree-of-freedom motion and position values as well as structure. The stochastic model uses the iterated extended Kalman filter (IEKF) as a nonlinear estimator and a screw representation of the 3-D transformation based on dual quaternions. Dual quaternions, whose elements are dual numbers, provide a means to represent both rotation and translation in a unified notation. Linear object features, represented as dual vectors, are transformed using the dual quaternion transformation and are then projected to linear features in the image plane. The method has been implemented and tested with both simulated and actual experimental data. Simulation results are provided, along with comparisons to a point-based IEKF method using rotation and translation, to show the relative advantages of this method. Experimental results from testing using a camera mounted on the end effector of a robot arm are also given.
Chen, Jinsong
Joint inversion of seismic AVO and EM data for gas saturation estimation using a sampling- based hypothesis using a sampling-based stochastic model, based on a typical situation of gas exploration and EM data are obtained from one-dimensional (or layered) models, (2) the thickness and electrical
Photometric redshift estimation based on data mining with PhotoRApToR
Cavuoti, Stefano; De Stefano, Virgilio; Longo, Giuseppe
2015-01-01T23:59:59.000Z
Photometric redshifts (photo-z) are crucial to the scienti?c exploitation of modern panchromatic digital surveys. In this paper we present PhotoRApToR (Photometric Research Application To Redshift): a Java/C++ based desktop application capable to solve non-linear regression and multi-variate classi?cation problems, in particular specialized for photo-z estimation. It embeds a machine learning algorithm, namely a multilayer neural network trained by the Quasi Newton learning rule, and special tools dedicated to pre- and postprocessing data. PhotoRApToR has been successfully tested on several scienti?c cases. The application is available for free download from the DAME Program web site.
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
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 ...
CostStudio: a web-based cost estimation tool for architectural design studios
Shah, Neelu
2001-01-01T23:59:59.000Z
process. The current research focuses on a cost estimation tool that accentuates knowledge of the cost estimation process for architectural students and audits the student's usage of the tool by recording each interaction in an auditing database. Cost...
Thompson, C.B.; McArthur, R.D. [Univ. and Community College System of Nevada, Las Vegas, NV (United States); Hutchinson, S.W. [Mead Johnson Nutritional Group, Evansville, IN (United States)
1994-09-01T23:59:59.000Z
As part of the U.S. Department of Energy`s Off-Site Radiation Exposure Review Project, the time of fallout arrival and the H+12 exposure rate were estimated for populated locations in Arizona, California, Nevada, and Utah that were affected by fallout from one or more nuclear tests at the Nevada Test Site. Estimates of exposure rate were derived from measured values recorded before and after each test by fallout monitors in the field. The estimate for a given location was obtained by retrieving from a data base all measurements made in the vicinity, decay-correcting them to H+12, and calculating an average. Estimates were also derived from maps produced after most events that show isopleths of exposure rate and time of fallout arrival. Both sets of isopleths on these maps were digitized, and kriging was used to interpolate values at the nodes of a 10-km grid covering the pattern. The values at any location within the grid were then estimated from the values at the surrounding grid nodes. Estimates of dispersion (standard deviation) were also calculated. The Town Data Base contains the estimates for all combinations of location and nuclear event for which the estimated mean H+12 exposure rate was greater than three times background. A listing of the data base is included as an appendix. The information was used by other project task groups to estimate the radiation dose that off-site populations and individuals may have received as a result of exposure to fallout from Nevada nuclear tests.
Design and rule base reduction of a fuzzy lter for the estimation of motor currents
Simon, Dan
®ltering to motor winding current estimation in permanent magnet synchronous motors. Motor winding current estimation of the current is needed. Motor winding currents are notoriously noisy because of electrical noise®cation for motor winding current estimation. With the assumption that the membership functions are triangular (but
Garg, Saurabh; David Dornfeld
2008-01-01T23:59:59.000Z
FOR ESTIMATING CARBON FOOTPRINT OF ACADEMIA LIBRARY SYSTEMSacross the world. A carbon footprint is a measure of thethat can calculate the carbon footprint of a library system
Washington at Seattle, University of
-based vehicle classification data are critical inputs for traffic operations,10 pavement design and maintenance classification data are important inputs for traffic operations, pavement2 design and maintenance the estimation results become statistically stable and converge. This method is20 straightforward
-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
Optimization-based Design of Plant-Friendly Input Signals for Data-Centric Estimation and Control
Mittelmann, Hans D.
and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy (1980-centric multivariable control algorithm) is demonstrated for the distillation column case study. 1To whom allPaper 242k Optimization-based Design of Plant-Friendly Input Signals for Data-Centric Estimation
Mittelmann, Hans D.
is shown by applying it to a case study involving composition control of a binary distillation column. I is demonstrated in a binary high-purity distillation column case study by Weischedel and McAvoy [7], a demandingOptimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model
Mesoscale variability in time series data: Satellite-based estimates for the U.S. JGOFS Bermuda TOPEX/PoseidonERS-1/2) are used to characterize, statistically, the mesoscale variability about the U to better understand the contribution of mesoscale eddies to the time series record and the model- data
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
Ghosh, Bijoy K.
been numerous attempts to combine the above men- tioned sensors by using different heuristics Line-Based Dynamic Vision and Inertial Sensors Henrik Rehbinder, Member, IEEE, and Bijoy K. Ghosh. Rigid body pose estimation using iner- tial sensors and a monocular camera is considered and it is shown
Boyer, Edmond
to explic- itly represent the energy fluxes of four surface components of agricultural fields including bare in north- western Mexico during the 2007-2008 agricultural season. Input data are composed of ASTERAn image-based four-source surface energy balance model to estimate crop evapotranspiration from
Regression-based estimates of the rate of accumulation of anthropogenic CO2 in the ocean: A fresh February 2012 Available online 23 February 2012 Keywords: Carbon dioxide Regression MLR eMLR Regression and guidelines for improvement are presented. Following these guidelines leads to a local two- regression method
Estimating future global per capita water availability based on changes in climate and population
Parish, Esther S [ORNL; Kodra, Evan [Northeastern University; Ganguly, Auroop R [Northeastern University; Steinhaeuser, Karsten [University of Minnesota
2012-01-01T23:59:59.000Z
Human populations are profoundly affected by water stress, or the lack of sufficient per capita available freshwater. Water stress can result from overuse of available freshwater resources or from a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by the uncertainties associated with climate change projections and population projections. We present a simple methodology developed to integrate disparate climate and population data sources and develop first-order per capita water availability projections at the global scale. Simulations from the coupled land-ocean-atmosphere Community Climate System Model version 3 (CCSM3) forced with a range of hypothetical greenhouse gas emissions scenarios are used to project grid-based changes in precipitation minus evapotranspiration as proxies for changes in runoff, or fresh water supply. Population growth changes according to several Intergovernmental Panel on Climate Change (IPCC) storylines are used as proxies for changes in fresh water demand by 2025, 2050 and 2100. These freshwater supply and demand projections are then combined to yield estimates of per capita water availability aggregated by watershed and political unit. Results suggest that important insights might be extracted from the use of the process developed here, notably including the identification of the globe s most vulnerable regions in need of more detailed analysis and the relative importance of population growth versus climate change in in altering future freshwater supplies. However, these are only exemplary insights and, as such, could be considered hypotheses that should be rigorously tested with multiple climate models, multiple observational climate datasets, and more comprehensive population change storylines.
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 ...
Zhang, Yin
ESTIMATION MIKKEL THORUP AND YIN ZHANG Abstract. In the framework of Carter and Wegman, a k-independent hash and Wegman [33]. For any i 1, let [i] = {0, 1, . . ., i - 1}. We consider "hash" functions from "keys" in [n
Zhang, Yin
ESTIMATION # MIKKEL THORUP + AND YIN ZHANG # Abstract. In the framework of Carter and Wegman, a k and Wegman [33]. For any i # 1, let [i] = {0, 1, . . . , i - 1}. We consider ``hash'' functions from ``keys
New findings about the complementary relationship-based evaporation estimation methods
Szilagyi, Jozsef
KEYWORDS Complementary relationship; AdvectionAridity model; Areal evaporation; Potential evaporation; Apparent potential evaporation; Wet environment evaporation; Evapotranspiration Summary A novel approach of long- term mean evaporation (E) estimation of the AdvectionAridity (AA) model when vali- dated
Estimation of the global impacts of aviation-related noise using an income-based approach
He, Qinxian
Current practices for assessing the monetary impacts of aviation noise typically use hedonic pricing methods that estimate noise-induced property value depreciation. However, this approach requires detailed knowledge of ...
Validation of error estimators and superconvergence by a computer-based approach
Upadhyay, Chandra Shekhar
1993-01-01T23:59:59.000Z
5. 8. Regular pattern: Quadratic elements, cubic harmonic solution. Range of the various estimstors as a. function of the aspect ratio. . . . . . . 76 Figure 5. 9. Chevron pattern: Quadratic elements, cubic harmonic solution. Range of the various... estimators as a function of the aspect ratio. . . . . . . 77 Figure 5. 10. Union-Jack pattern: Quadratic elements, cubic harmonic solution. Range of the various estimators as a function of the aspect ratio. . . . . . . 78 Figure 5. 11. Criss-cross pattern...
Real-Time Data Processing and Magnetic Field Pitch Angle Estimation of the JET Motional Stark Effect Diagnostic based on Kalman Filtering
Shielding and activity estimator for template-based nuclide identification methods
Nelson, Karl Einar
2013-04-09T23:59:59.000Z
According to one embodiment, a method for estimating an activity of one or more radio-nuclides includes receiving one or more templates, the one or more templates corresponding to one or more radio-nuclides which contribute to a probable solution, receiving one or more weighting factors, each weighting factor representing a contribution of one radio-nuclide to the probable solution, computing an effective areal density for each of the one more radio-nuclides, computing an effective atomic number (Z) for each of the one more radio-nuclides, computing an effective metric for each of the one or more radio-nuclides, and computing an estimated activity for each of the one or more radio-nuclides. In other embodiments, computer program products, systems, and other methods are presented for estimating an activity of one or more radio-nuclides.
Eça, L. [Instituto Superior Técnico, Department of Mechanical Engineering, Av. Rovisco Pais, 1049-001 Lisbon (Portugal); Hoekstra, M. [Maritime Research Institute Netherlands, PO Box 28 6700 AA, Wageningen (Netherlands)
2014-04-01T23:59:59.000Z
This paper offers a procedure for the estimation of the numerical uncertainty of any integral or local flow quantity as a result of a fluid flow computation; the procedure requires solutions on systematically refined grids. The error is estimated with power series expansions as a function of the typical cell size. These expansions, of which four types are used, are fitted to the data in the least-squares sense. The selection of the best error estimate is based on the standard deviation of the fits. The error estimate is converted into an uncertainty with a safety factor that depends on the observed order of grid convergence and on the standard deviation of the fit. For well-behaved data sets, i.e. monotonic convergence with the expected observed order of grid convergence and no scatter in the data, the method reduces to the well known Grid Convergence Index. Examples of application of the procedure are included. - Highlights: • Estimation of the numerical uncertainty of any integral or local flow quantity. • Least squares fits to power series expansions to handle noisy data. • Excellent results obtained for manufactured solutions. • Consistent results obtained for practical CFD calculations. • Reduces to the well known Grid Convergence Index for well-behaved data sets.
Deshmukh, Venkatesh
Dynamical Systems Venkatesh Deshmukh Center for Nonlinear Dynamics and Control Department of Mechanical dynamic system models to be constructed from available data. The parameters to be estimated are assumed in the dynamic system models are assumed to have a known form, and the models are assumed to be parameter affine
Optimization-based queue estimation on an arterial traffic link with measurement uncertainties
Horowitz, Roberto
ABSTRACT Advanced monitoring and control of arterial road traffic network operations requires accurate constraints, image processing accuracy, and maintenance costs. Several proposed onramp queue estimation), or by introducing heuristic volume adjustment mechanisms (6, 7) or statistical analyses (10). In (5), vehicle re
Estimation of A Sensitivity-Based Metric for Detecting Market Power
about network topology and parameters as well as the rules used to operate the market. While computing of the information. In this paper we suggest a method for estimating the M-matrix by using publicly available data to measure market power ([1], [3]). The This project was support in part by the US Department of Energy
Estimating Water Saturation at The Geysers Based on Historical Pressure and Temperature Production
Stanford University
Production Data Jericho L.P. Reyes June 2003 Financial support was provided through the Stanford Geothermal Program under California Energy Commission PIER grant PIR-00-004, and by the Department of Petroleum................................................................................................................. 1 2. Estimation of In-situ Saturation using Production Data
Global oceanic rainfall estimation from AMSR-E data based on a radiative transfer model
Jin, Kyoung-Wook
2006-04-12T23:59:59.000Z
retrieval uncertainties. The algorithm uses six channels (dual polarizations at 36.5, 18.7 and 10.65GHz) and retrieves rain rates on a pixel-by-pixel basis. Monthly rain totals are estimated by summing average rain rates computed by merging six rain rates...
Garg, Saurabh; David Dornfeld
2008-01-01T23:59:59.000Z
Input-Output Life Cycle Assessment (EIO-LCA) model”, http://SYSTEMS BASED ON LIFE CYCLE ASSESSMENT Garg S. , Dornfeld D.based on a thorough Life Cycle Assessment (LCA) of all the
Global oceanic rainfall estimation from AMSR-E data based on a radiative transfer model
Jin, Kyoung-Wook
2006-04-12T23:59:59.000Z
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 ...
Estimating Base Resistance and N value in Rotary Press-in
Ishihara, Yukihiro; Haigh, Stuart; Bolton, Malcolm
2015-01-01T23:59:59.000Z
component (base resistance (Qb), base torque (Tb)) and a shaft component (shaft resistance (Qs), shaft torque (Ts)), as expressed in Fig. 3 and equations (1) and (2). sb QQQ ?? (1) sb TTT ?? (2) If we assume the base stress qb to be uniformly...
Xu, Yangyang; Bahadur, R.; Zhao, Chun; Leung, Lai-Yung R.
2013-10-04T23:59:59.000Z
Carbonaceous aerosols have the potential to impact climate both through directly absorbing incoming solar radiation, and by indirectly affecting the cloud layer. To quantify this impact recent modeling studies have made great efforts to simulate both the spatial and temporal distribution of carbonaceous aerosols and their associated radiative forcing. This study makes the first observationally constrained assessment of the direct radiative forcing of carbonaceous aerosols at a regional scale over California. By exploiting multiple observations (including ground sites and satellites), we constructed the distribution of aerosol optical depths and aerosol absorption optical depths over California for a ten-year period (2000-2010). The total solar absorption was then partitioned into contributions from elemental carbon (EC), organic carbon (OC) and dust aerosols using a newly developed scheme. Aerosol absorption optical depth due to carbonaceous aerosols (EC and OC) at 440 nm is 50%-200% larger than natural dust, with EC contributing the bulk (70%-90%). Observationally constrained EC absorption agrees reasonably well with estimates from regional transport models, but the model underestimates the OC AAOD by at least 50%. We estimate that the TOA warming from carbonaceous aerosols is 0.7 W/m2 and the TOA forcing due to OC is close to zero. The atmospheric heating of carbonaceous aerosols is 2.2-2.9 W/m2, of which EC contributed about 80-90%. The atmospheric heating due to OC is estimated to be 0.1 to 0.4 W/m2, larger than model simulations. The surface brightening due to EC reduction over the last two decades is estimated to be 1.5-3.5 W/m2.
Estimating stellar atmospheric parameters based on LASSO and support-vector regression
Lu, Yu
2015-01-01T23:59:59.000Z
A scheme for estimating atmospheric parameters T$_{eff}$, log$~g$, and [Fe/H] is proposed on the basis of Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and Haar wavelet. The proposed scheme consists of three processes. A spectrum is decomposed using the Haar wavelet transform and low-frequency components at the fourth level are considered as candidate features. Then, spectral features from the candidate features are detected using the LASSO algorithm to estimate the atmospheric parameters. Finally, atmospheric parameters are estimated from the extracted spectral features using the support-vector regression (SVR) method. The proposed scheme was evaluated using three sets of stellar spectra respectively from Sloan Digital Sky Survey (SDSS), Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST), and Kurucz's model, respectively. The mean absolute errors are as follows: for 40~000 SDSS spectra, 0.0062 dex for log~T$_{eff}$ (85.83 K for T$_{eff}$), 0.2035 dex for log$~g$ and 0.1512...
Hollinger, D. [USDA Forest Service; Ollinger, S. V. [University of Hew Hampshire; Richardson, A. D. [University of Hew Hampshire; Martin, M. E. [University of New Hampshire; Meyers, T. P. [NOAA ATDD; Dail, D. B. [University of Maine; Scott, N. A. [Queens University, Kingston, ON, Canada; Arkebauer, T. J. [University of Nebraska, Lincoln; Baldocchi, D. D. [University of California, Berkeley; Clark, K. L. [USDA Forest Service; Curtis, Peter [Ohio State University, The, Columbus; Davis, K. J. [Pennsylvania State University; Desai, Desai Ankur R. [University of Wisconsin, Madison; Dragoni, Danilo [Indiana University; Goulden, M. L. [University of California, Irvine; Gu, Lianhong [ORNL; Katul, G. G. [Duke University; Pallardy, Stephen G. [University of Missouri; Pawu, K. T. [University of California, Davis; Schmid, H. P. [IFU, FZK IMK, Institute of Meteorology & Climate, Garmisch Partenkirchen, Germany; Stoy, P. C. [University of Edinburgh; Suyker, A. E. [University of Nebraska, Lincoln; Verma, Shashi [University of Nebraska
2009-02-01T23:59:59.000Z
Vegetation albedo is a critical component of the Earth s climate system, yet efforts to evaluate and improve albedo parameterizations in climate models have lagged relative to other aspects of model development. Here, we calculated growing season albedos for deciduous and evergreen forests, crops, and grasslands based on over 40 site-years of data from the AmeriFlux network and compared them with estimates presently used in the land surface formulations of a variety of climate models. Generally, the albedo estimates used in land surface models agreed well with this data compilation. However, a variety of models using fixed seasonal estimates of albedo overestimated the growing season albedo of northerly evergreen trees. In contrast, climatemodels that rely on a common two-stream albedo submodel provided accurate predictions of boreal needle-leaf evergreen albedo but overestimated grassland albedos. Inverse analysis showed that parameters of the two-stream model were highly correlated. Consistent with recent observations based on remotely sensed albedo, the AmeriFlux dataset demonstrated a tight linear relationship between canopy albedo and foliage nitrogen concentration (for forest vegetation: albedo 50.0110.071%N, r250.91; forests, grassland, and maize: albedo50.0210.067%N, r250.80). However, this relationship saturated at the higher nitrogen concentrations displayed by soybean foliage. We developed similar relationships between a foliar parameter used in the two-stream albedo model and foliage nitrogen concentration. These nitrogen-based relationships can serve as the basis for a new approach to land surface albedo modeling that simplifies albedo estimation while providing a link to other important ecosystem processes.
Ryabko, Boris
2007-01-01T23:59:59.000Z
We address the problem of nonparametric estimation of characteristics for stationary and ergodic time series. We consider finite-alphabet time series and real-valued ones and the following four problems: i) estimation of the (limiting) probability (or estimation of the density for real-valued time series), ii) on-line prediction, iii) regression and iv) classification (or so-called problems with side information). We show that so-called archivers (or data compressors) can be used as a tool for solving these problems. In particular, firstly, it is proven that any so-called universal code (or universal data compressor) can be used as a basis for constructing asymptotically optimal methods for the above problems. (By definition, a universal code can "compress" any sequence generated by a stationary and ergodic source asymptotically till the Shannon entropy of the source.) And, secondly, we show experimentally that estimates, which are based on practically used methods of data compression, have a reasonable preci...
Waste Estimates for a Future Recycling Plant in the US Based Upon AREVA Operating Experience - 13206
Foare, Genevieve; Meze, Florian [AREVA E and P, SGN - 1, rue des Herons, 78182 Montigny-le-Bretonneux (France)] [AREVA E and P, SGN - 1, rue des Herons, 78182 Montigny-le-Bretonneux (France); Bader, Sven; McGee, Don; Murray, Paul [AREVA Federal Services LLC, 7207 IBM Drive, Mail Code CLT- 1D, Charlotte NC 28262 (United States)] [AREVA Federal Services LLC, 7207 IBM Drive, Mail Code CLT- 1D, Charlotte NC 28262 (United States); Prud'homme, Pascal [AREVA NC SA - 1, place Jean Millier, 92084 Paris La Defense CEDEX (France)] [AREVA NC SA - 1, place Jean Millier, 92084 Paris La Defense CEDEX (France)
2013-07-01T23:59:59.000Z
Estimates of process and secondary wastes produced by a recycling plant built in the U.S., which is composed of a used nuclear fuel (UNF) reprocessing facility and a mixed oxide (MOX) fuel fabrication facility, are performed as part of a U.S. Department of Energy (DOE) sponsored study [1]. In this study, a set of common inputs, assumptions, and constraints were identified to allow for comparison of these wastes between different industrial teams. AREVA produced a model of a reprocessing facility, an associated fuel fabrication facility, and waste treatment facilities to develop the results for this study. These facilities were divided into a number of discrete functional areas for which inlet and outlet flow streams were clearly identified to allow for an accurate determination of the radionuclide balance throughout the facility and the waste streams. AREVA relied primarily on its decades of experience and feedback from its La Hague (reprocessing) and MELOX (MOX fuel fabrication) commercial operating facilities in France to support this assessment. However, to perform these estimates for a U.S. facility with different regulatory requirements and to take advantage of some technological advancements, such as in the potential treatment of off-gases, some deviations from this experience were necessary. A summary of AREVA's approach and results for the recycling of 800 metric tonnes of initial heavy metal (MTIHM) of LWR UNF per year into MOX fuel under the assumptions and constraints identified for this DOE study are presented. (authors)
A Biomass-based Model to Estimate the Plausibility of Exoplanet Biosignature Gases
Seager, S; Hu, R
2013-01-01T23:59:59.000Z
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...
Damage estimates for European and US sites using the US high-cycle fatigue data base
Sutherland, H.J.
1996-02-01T23:59:59.000Z
This paper uses two high-cycle fatigue data bases, US blade materials and one for European materials the service lifetime of a wind turbine blade sit WISPER load spectrum for northern European sit 19921 and the WISPER protocol load spectrum farm sites. The US data base, developed by Mandell, et al. (1995), contains over 2200 data points that were obtained using coupon testing procedures. These data are used to construct a Goodman diagram that is suitable for analyzing wind turbine blades. This result is compared to the Goodman diagram derived from the European fatigue data base FACT. The LIFE2 fatigue analysis code for wind turbines is then used to predict the service lifetime of a turbine blade subjected to the two loading histories. The results of this study indicate that the WISPER load spectrum from northern European sites significantly underestimates the WISPER protocol load spectrum from a US wind farm site; i.e., the WISPER load spectrum significantly underestimates the number and magnitude of the loads observed at a US wind farm site. Further, the analyses demonstrate that the European and the US fatigue material data bases are in general agreement for the prediction of tensile failures. However, for compressive failures, the two data bases are significantly different, with the US data base predicting significantly shorter service lifetimes than the European data base.
Validation of error estimators and superconvergence by a computer-based approach
Upadhyay, Chandra Shekhar
1993-01-01T23:59:59.000Z
In this work a computer-based methodology for studying the asymptotic properties of the finite element solution in the interior of grids of triangles is presented. This methodology is applied to numerically analyze the ...
The Use of Traits-Based Assessment to Estimate Effects of Hydropower Projects on Fish Populations
that influence the risk of downstream passage losses at hydroelectric power plants www.ornl.gov #12; for every hydroelectric project or turbine design. We are exploring the use of a Traits-Based Assessment
Estimation of Impedance Using Seismic Reflection Data Based on Transdimensional Inversion
Dadi, Sireesh
2014-04-23T23:59:59.000Z
parameters based on an ensemble of models. I apply Bayesian inversion with rjMCMC sampling for two applications. In the first application, I define upscaling velocity logs as an inversion problem to obtain optimal models and quantify uncertainty of upscaled... for a cost function, global optimization techniques are necessary to characterize the global minimum solution. Stochastic, model-based seismic inversion is a widely used global optimization technique and Markov Chain Monte Carlo (MCMC) method is a...
Nonlinear Estimation for Model Based Fault Diagnosis of Nonlinear Chemical Systems
Qu, Chunyan
2011-02-22T23:59:59.000Z
and the unknown inputs. Using mechanistic first principle models, Raja et. al [16] have proposed an observer-based methodology for diagnosing unknown sensor faults in systems with parametric uncertainties. However, the contribution of first principles model...-based fault diagnosis approaches to industrial practice has not been pervasive due to the cost and time required to develop a sufficiently accurate process model for a com- plex chemical plant [17]. Therefore, Raja et. al [18] extended their work to sensor...
Reassessment of the technical bases for estimating source terms. Draft report for comment
Silberberg, M.; Mitchell, J.A.; Meyer, R.O.; Pasedag, W.F.; Ryder, C.P.; Peabody, C.A.; Jankowski, M.W.
1985-07-01T23:59:59.000Z
NUREG-0956 describes the NRC staff and contractor efforts to reassess and update the agency's analytical procedures for estimating accident source terms for nuclear power plants. The effort included development of a new source term analytical procedure - a set of computer codes - that is intended to replace the methodology of the Reactor Safety Study (WASH-1400) and to be used in reassessing the use of TID-14844 assumptions (10 CFR 100). NUREG-0956 describes the development of these codes, the demonstration of the codes to calculate source terms for specific cases, the peer review of this work, some perspectives on the overall impact of new source terms on plant risks, the plans for related research projects, and the conclusions and recommendations resulting from the effort.
Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving arising in the Airborne Wind Energy paradigm, an essential one is the control of the tethered airfoil], [3], the Airborne Wind Energy (AWE) paradigm shift proposes to get rid of the structural elements
Signal to Noise Ratio estimation in passive correlation-based Josselin Garnier
Tsogka, Chrysoula
are not very long, as may be the case in non-destructive testing, the stability of the image (its SNR) can when the recorded signals are not of long duration, which is important in applications such as non-destructive testing. Key words:Correlation-based imaging, noise sources, resolution analysis, signal-to-noise ratio. 1
Gupta, Vinay Kumar
28 ARTIFICIAL NEURAL NETWORK-BASED ESTIMATION OF PEAK GROUND ACCELERATION C.R. Arjun and Ashok Kumar Department the application of artificial neural networks (ANNs) for the estimation of peak ground acceleration (PGA inputs. KEYWORDS: Artificial Neural Networks, Peak Ground Acceleration, Hypocentral Distance, Shear Wave
Evolution of Meteorological Base Models for Estimating Hourly Global Solar Radiation in Texas
Kim, H.; Baltazar, J.C.; Haberl, J.S
2013-01-01T23:59:59.000Z
such as San Antonio and Victoria, the statistical indices show similar values for either model. These findings are shown in Figure 3, where the climate zones categorized by the 2009 International Energy Conservation Code (IECC) [16] are also included... ESL-PA-13-11-01 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...
Nonlinear Estimation for Model Based Fault Diagnosis of Nonlinear Chemical Systems
Qu, Chunyan
2011-02-22T23:59:59.000Z
. . . . . . . . . . . . . . . . . . . . 84 xii TABLE Page XV MSEs for Algorithms (?t = 0.02,R = 0.01I) for EKF Imple- mentations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 XVI Summary of MSEs for All Algorithms for EKF Implementations 93 XVII MSEs for Algorithms with a...-dimensional states while Li and Kadirkamanathan [79] investigated the PF based likelihood ratio ap- proach to fault diagnosis in nonlinear stochastic systems. T. Chen and his coworkers used particle filters for dynamic data rectification and process change detection...
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
2012-01-01T23:59:59.000Z
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.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Medeiros, Stephen; Hagen, Scott; Weishampel, John; Angelo, James
2015-03-25T23:59:59.000Z
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
Mozhgan Mombeini; Ali Khaki Sedigh; Mohammad Ali Nekoui
2012-05-17T23:59:59.000Z
In this paper, a new approach to the problem of stabilizing a chaotic system is presented. In this regard, stabilization is done by sustaining chaotic properties of the system. Sustaining the chaotic properties has been mentioned to be of importance in some areas such as biological systems. The problem of stabilizing a chaotic singularly perturbed system will be addressed and a solution will be proposed based on the OGY (Ott, Grebogi and Yorke) methodology. For the OGY control, Poincare section of the system is defined on its slow manifold. The multi-time scale property of the singularly perturbed system is exploited to control the Poincare map with the slow scale time. Slow scale time is adaptively estimated using a parameter estimation technique. Control with slow time scale circumvents the need to observe the states. With this strategy, the system remains chaotic and chaos identification is possible with online calculation of lyapunov exponents. Using this strategy on ecological system improves their control in three aspects. First that for ecological systems sustaining the dynamical property is important to survival of them. Second it removes the necessity of insertion of control action in each sample time. And third it introduces the sufficient time for census.
A GIS-based Estimate of Net Erosion Rate for Semi-arid Watersheds in New Mexico Richardson, C.P.1
Cal, Mark P.
A GIS-based Estimate of Net Erosion Rate for Semi-arid Watersheds in New Mexico Richardson, C.P.1 subsequent management for beneficial use. GIS-based modeling and evaluation is another tool to evaluate-basin of the Rio Puerco basin to the Rio Grande. Objective The objective of this work is to utilize a GIS platform
Torres-Verdín, Carlos
Estimation of dynamic petrophysical properties of water-bearing sands invaded with oil-base mud, capillary pressure, and relative permeability of water-bearing sands invaded with oil-base mud (OBM) from-saturated sands are used for calibration of equivalent properties in hydrocarbon-bearing sands within the same
Duffy, Michael D.
The estimated costs of corn, corn silage, soybeans, al- falfa, and pasture maintenance record summaries, production and costs data from the Departments of Economics, Agricultural cooperatives and other input suppliers around the state. These costs estimates are representative of average
Cada, Glenn F [ORNL; Schweizer, Peter E [ORNL
2012-04-01T23:59:59.000Z
One of the most important environmental issues facing the hydropower industry is the adverse impact of hydroelectric projects on downstream fish passage. Fish that migrate long distances as part of their life cycle include not only important diadromous species (such as salmon, shads, and eels) but also strictly freshwater species. The hydropower reservoirs that downstream-moving fish encounter differ greatly from free-flowing rivers. Many of the environmental changes that occur in a reservoir (altered water temperature and transparency, decreased flow velocities, increased predation) can reduce survival. Upon reaching the dam, downstream-migrating fish may suffer increased mortality as they pass through the turbines, spillways and other bypasses, or turbulent tailraces. Downstream from the dam, insufficient environmental flow releases may slow downstream fish passage rates or decrease survival. There is a need to refine our understanding of the relative importance of causative factors that contribute to turbine passage mortality (e.g., strike, pressure changes, turbulence) so that turbine design efforts can focus on mitigating the most damaging components. Further, present knowledge of the effectiveness of turbine improvements is based on studies of only a few species (mainly salmon and American shad). These data may not be representative of turbine passage effects for the hundreds of other fish species that are susceptible to downstream passage at hydroelectric projects. For example, there are over 900 species of fish in the United States. In Brazil there are an estimated 3,000 freshwater fish species, of which 30% are believed to be migratory (Viana et al. 2011). Worldwide, there are some 14,000 freshwater fish species (Magurran 2009), of which significant numbers are susceptible to hydropower impacts. By comparison, in a compilation of fish entrainment and turbine survival studies from over 100 hydroelectric projects in the United States, Winchell et al. (2000) found useful turbine passage survival data for only 30 species. Tests of advanced hydropower turbines have been limited to seven species - Chinook and coho salmon, rainbow trout, alewife, eel, smallmouth bass, and white sturgeon. We are investigating possible approaches for extending experimental results from the few tested fish species to predict turbine passage survival of other, untested species (Cada and Richmond 2011). In this report, we define the causes of injury and mortality to fish tested in laboratory and field studies, based on fish body shape and size, internal and external morphology, and physiology. We have begun to group the large numbers of unstudied species into a small number of categories, e.g., based on phylogenetic relationships or ecological similarities (guilds), so that subsequent studies of a few representative species (potentially including species-specific Biological Index Testing) would yield useful information about the overall fish community. This initial effort focused on modifying approaches that are used in the environmental toxicology field to estimate the toxicity of substances to untested species. Such techniques as the development of species sensitivity distributions (SSDs) and Interspecies Correlation Estimation (ICE) models rely on a considerable amount of data to establish the species-toxicity relationships that can be extended to other organisms. There are far fewer studies of turbine passage stresses from which to derive the turbine passage equivalent of LC{sub 50} values. Whereas the SSD and ICE approaches are useful analogues to predicting turbine passage injury and mortality, too few data are available to support their application without some form of modification or simplification. In this report we explore the potential application of a newer, related technique, the Traits-Based Assessment (TBA), to the prediction of downstream passage mortality at hydropower projects.
McClellan, Y. [Sandia National Labs., Albuquerque, NM (United States); Royer, R. [New Mexico Univ., Albuquerque, NM (United States). Dept. of Biochemistry
1996-09-01T23:59:59.000Z
This report describes the analysis and conclusion of an investigation of the carbon monoxide emissions resulting from Sandia National Laboratories and Department of Energy (DOE) commuter and on-base traffic for the Clean Air Act (CAA) Conformity Determination. Albuquerque/Bernalillo County was classified as a nonattainment area by the Environmental Protection Agency. Nonattainment area is an area which is shown by monitored data or which is calculated by air quality modeling to exceed any National Ambient Air Quality Standard (NAAQS) for the pollutant. Albuquerque/Bernalillo County exceeds the NAAQS for carbon monoxide and ozone. The Conformity Determination was needed to complete the CAA Title V Permitting process for SNL and the DOE. The analysis used the EPA approved MOBILE5a Carbon Monoxide (CO) emissions modeling program. This analysis will provide a baseline for mobile sources to allow Sandia to estimate any future activity and how that activity will impact CO emissions. The General Conformity Rule (AQCR 43) requires that operations which will increase CO emissions in nonattaimnent or maintenance areas such as Bernalillo County undergo conformity analyses to determine whether or not they will impact ambient air quality in the area.
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
Howat, Ian M.
Prospects for river discharge and depth estimation through assimilation of swath water depth and discharge, reducing the discharge RMSE from 23.2% to 10.0% over an 84-day simulation. Clark, D. P. Lettenmaier, and D. E. Alsdorf (2007), Prospects for river discharge and depth estimation
Letschert, Virginie
2010-01-01T23:59:59.000Z
SAS-PAS Electric Water Heating UEC (kWh) 13 Reference (Jannuzzi G. 2005) (SAS+PAS Other Average Efficiency Base Case Reference Voice Mag. (oct 2005) (
Energy Efficiency Potential for Distribution Transformers in the APEC Economies
Letschert, Virginie
2014-01-01T23:59:59.000Z
APERC, 2012. APEC Energy Demand and Supply Outlook 5thand, based on the APERC Energy Demand and Supply Outlook (BUENAS calculates final energy demand according to the UEC
Estimated costs for advertising in Saturdays Canberra Times Stand Alone prices are based on small Appt. Saturday $1,801.62 $300.27 Press Advertising Currently we advertise mainly in Saturdays Canberra composite ads reducing costs significantly. All other advertisements would appear as standalones. All
Torres-Verdín, Carlos
SPE 109879 Estimation of Dry-Rock Elastic Moduli Based on the Simulation of Mud-Filtrate Invasion reproduction, distribution, or storage of any part of this paper for commercial purposes without the written of dry-rock elastic properties are critical to accurately interpreting the seismic response
Paris-Sud XI, Université de
1 Rating curves and estimation of average water depth at the upper Negro River based on satellite for 21 ``virtual gauge stations'' located at the upper Negro River (Amazon Basin, Brazil). A virtual station can be defined as any crossing of water body surface (i.e., large rivers) by radar altimeter
Patel, Ameera X.; Bullmore, Edward T.
2015-05-03T23:59:59.000Z
by denoising algorithms for head movement. Here, we used a wavelet-based method both to denoise fMRI data and to estimate the (effective) df of the denoised process. We show that seed voxel correlations corrected for locally variable df could be tested...
Remote-sensing GIS based investigations of coal fires in northern China; global monitoring to support the estimation of CO2 emissions from spontaneous combustion of coal Freek van der Meer, Paul van, disaster control, coal fires, China ABSTRACT The uncontrolled fires burning of coal seams, stock piles
Valbuena Olivares, Ernesto
2012-02-14T23:59:59.000Z
to estimate the ultimate CO2 storage in depleted oil and gas reservoirs by implementing a volume constrained thermodynamic equation of state (EOS) using the reservoir?s average pressure and fluid composition. This method was implemented in an algorithm...
Carter, Joshua A.; Winn, Joshua N., E-mail: carterja@mit.ed, E-mail: jwinn@mit.ed [Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139 (United States)
2009-10-10T23:59:59.000Z
We consider the problem of fitting a parametric model to time-series data that are afflicted by correlated noise. The noise is represented by a sum of two stationary Gaussian processes: one that is uncorrelated in time, and another that has a power spectral density varying as 1/f{sup g}amma. We present an accurate and fast [O(N)] algorithm for parameter estimation based on computing the likelihood in a wavelet basis. The method is illustrated and tested using simulated time-series photometry of exoplanetary transits, with particular attention to estimating the mid-transit time. We compare our method to two other methods that have been used in the literature, the time-averaging method and the residual-permutation method. For noise processes that obey our assumptions, the algorithm presented here gives more accurate results for mid-transit times and truer estimates of their uncertainties.
Dokania, N; Mathimalar, S; Garai, A; Nanal, V; Pillay, R G; Bhushan, K G
2015-01-01T23:59:59.000Z
The neutron flux at low energy ($E_n\\leq15$ MeV) resulting from the radioactivity of the rock in the underground cavern of the India-based Neutrino Observatory is estimated using Geant4-based Monte Carlo simulations. The neutron production rate due to the spontaneous fission of U, Th and ($\\alpha, n$) interactions in the rock is determined employing the actual rock composition. It has been demonstrated that the total flux is equivalent to a finite size cylindrical rock ($D=L=140$ cm) element. The energy integrated neutron flux thus obtained at the center of the underground tunnel is 2.76 (0.47) $\\times 10^{-6}\\rm~n ~cm^{-2}~s^{-1}$. The estimated neutron flux is of the same order ($\\sim10^{-6}\\rm~n ~cm^{-2}~s^{-1}$)~as measured in other underground laboratories.
N. Dokania; V. Singh; S. Mathimalar; A. Garai; V. Nanal; R. G. Pillay; K. G. Bhushan
2015-09-23T23:59:59.000Z
The neutron flux at low energy ($E_n\\leq15$ MeV) resulting from the radioactivity of the rock in the underground cavern of the India-based Neutrino Observatory is estimated using Geant4-based Monte Carlo simulations. The neutron production rate due to the spontaneous fission of U, Th and ($\\alpha, n$) interactions in the rock is determined employing the actual rock composition. It has been demonstrated that the total flux is equivalent to a finite size cylindrical rock ($D=L=140$ cm) element. The energy integrated neutron flux thus obtained at the center of the underground tunnel is 2.76 (0.47) $\\times 10^{-6}\\rm~n ~cm^{-2}~s^{-1}$. The estimated neutron flux is of the same order ($\\sim10^{-6}\\rm~n ~cm^{-2}~s^{-1}$)~as measured in other underground laboratories.
Povinelli, Richard J.
to the fact that in a no-load situation only the electrical circuits of the stator windings carry the currents estimation approach. In this technique, the stator currents, voltages and motor speed are used as the input detection [1-6]. Some of these works have mainly used the frequency spectrum of the stator current for rotor
Bahk, Saewoong
with ultra low duty cycles Wooguil Pak, Saewoong Bahk Department of EECS & INMC, Seoul National University Keywords: Wireless sensor network Routing protocol Ultra low duty cycle Network lifetime Multi-hop wakeup time estimation to maximize the network lifetime of WSNs under ultra low duty cycles. It does not use
Montemagno, C.D.; Irvine, R.L.
1990-08-01T23:59:59.000Z
This report presents a system design for using bioremediation to treat contaminated soil at Fort MacArthur near Los Angeles, California. The soil was contaminated by petroleum products that leaked from two underground storage tanks. Laboratory studies indicated that, with the addition of water and nutrients, soil bacteria can reduce the petroleum content of the soils to levels that meet regulatory standards. The system design includes soil excavation, screening, and mixing; treatment in five soil-slurry/sequencing-batch reactors; and dewatering by a rapid-infiltration basin. System specifications and cost estimates are provided. 5 refs., 8 figs., 5 tabs.
Subramanian, Venkat
concentration, electrolyte potential, solid-state potential, and solid-state concentration in the porous with cycling. Reformulated Model First-principles-based battery models typically solve electrolyte electrodes and electrolyte concentration and electrolyte potential in the separator. These models
Doughty, C.A.
1996-05-01T23:59:59.000Z
The hydrologic properties of heterogeneous geologic media are estimated by simultaneously inverting multiple observations from well-test data. A set of pressure transients observed during one or more interference tests is compared to the corresponding values obtained by numerically simulating the tests using a mathematical model. The parameters of the mathematical model are varied and the simulation repeated until a satisfactory match to the observed pressure transients is obtained, at which point the model parameters are accepted as providing a possible representation of the hydrologic property distribution. Restricting the search to parameters that represent fractal hydrologic property distributions can improve the inversion process. Far fewer parameters are needed to describe heterogeneity with a fractal geometry, improving the efficiency and robustness of the inversion. Additionally, each parameter set produces a hydrologic property distribution with a hierarchical structure, which mimics the multiple scales of heterogeneity often seen in natural geological media. Application of the IFS inverse method to synthetic interference-test data shows that the method reproduces the synthetic heterogeneity successfully for idealized heterogeneities, for geologically-realistic heterogeneities, and when the pressure data includes noise.
Rapid estimation of 4DCT motion-artifact severity based on 1D breathing-surrogate periodicity
Li, Guang, E-mail: lig2@mskcc.org; Caraveo, Marshall [Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York 10065 (United States); Wei, Jie [Department of Computer Science, City College of New York, New York, New York 10031 (United States); Rimner, Andreas; Wu, Abraham J.; Goodman, Karyn A. [Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065 (United States); Yorke, Ellen [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York 10065 (United States)
2014-11-01T23:59:59.000Z
Purpose: Motion artifacts are common in patient four-dimensional computed tomography (4DCT) images, leading to an ill-defined tumor volume with large variations for radiotherapy treatment and a poor foundation with low imaging fidelity for studying respiratory motion. The authors developed a method to estimate 4DCT image quality by establishing a correlation between the severity of motion artifacts in 4DCT images and the periodicity of the corresponding 1D respiratory waveform (1DRW) used for phase binning in 4DCT reconstruction. Methods: Discrete Fourier transformation (DFT) was applied to analyze 1DRW periodicity. The breathing periodicity index (BPI) was defined as the sum of the largest five Fourier coefficients, ranging from 0 to 1. Distortional motion artifacts (excluding blurring) of cine-scan 4DCT at the junctions of adjacent couch positions around the diaphragm were classified in three categories: incomplete, overlapping, and duplicate anatomies. To quantify these artifacts, discontinuity of the diaphragm at the junctions was measured in distance and averaged along six directions in three orthogonal views. Artifacts per junction (APJ) across the entire diaphragm were calculated in each breathing phase and phase-averaged APJ{sup ¯}, defined as motion-artifact severity (MAS), was obtained for each patient. To make MAS independent of patient-specific motion amplitude, two new MAS quantities were defined: MAS{sup D} is normalized to the maximum diaphragmatic displacement and MAS{sup V} is normalized to the mean diaphragmatic velocity (the breathing period was obtained from DFT analysis of 1DRW). Twenty-six patients’ free-breathing 4DCT images and corresponding 1DRW data were studied. Results: Higher APJ values were found around midventilation and full inhalation while the lowest APJ values were around full exhalation. The distribution of MAS is close to Poisson distribution with a mean of 2.2 mm. The BPI among the 26 patients was calculated with a value ranging from 0.25 to 0.93. The DFT calculation was within 3 s per 1DRW. Correlations were found between 1DRW periodicity and 4DCT artifact severity: ?0.71 for MAS{sup D} and ?0.73 for MAS{sup V}. A BPI greater than 0.85 in a 1DRW suggests minimal motion artifacts in the corresponding 4DCT images. Conclusions: The breathing periodicity index and motion-artifact severity index are introduced to assess the relationship between 1DRW and 4DCT. A correlation between 1DRW periodicity and 4DCT artifact severity has been established. The 1DRW periodicity provides a rapid means to estimate 4DCT image quality. The rapid 1DRW analysis and the correlative relationship can be applied prospectively to identify irregular breathers as candidates for breath coaching prior to 4DCT scan and retrospectively to select high-quality 4DCT images for clinical motion-management research.
John Veitch; Vivien Raymond; Benjamin Farr; Will M. Farr; Philip Graff; Salvatore Vitale; Ben Aylott; Kent Blackburn; Nelson Christensen; Michael Coughlin; Walter Del Pozzo; Farhan Feroz; Jonathan Gair; Carl-Johan Haster; Vicky Kalogera; Tyson Littenberg; Ilya Mandel; Richard O'Shaughnessy; Matthew Pitkin; Carl Rodriguez; Christian Röver; Trevor Sidery; Rory Smith; Marc Van Der Sluys; Alberto Vecchio; Will Vousden; Leslie Wade
2015-02-16T23:59:59.000Z
The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star black hole binary and a binary black hole, where we show a cross-comparison of results obtained using three independent sampling algorithms. These systems were analysed with non-spinning, aligned spin and generic spin configurations respectively, showing that consistent results can be obtained even with the full 15-dimensional parameter space of the generic spin configurations. We also demonstrate statistically that the Bayesian credible intervals we recover correspond to frequentist confidence intervals under correct prior assumptions by analysing a set of 100 signals drawn from the prior. We discuss the computational cost of these algorithms, and describe the general and problem-specific sampling techniques we have used to improve the efficiency of sampling the compact binary coalescence parameter space.
Wu, Huan; Adler, Robert F.; Tian, Yudong; Huffman, George; Li, Hongyi; Wang, Jianjian
2014-04-09T23:59:59.000Z
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.
ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS
Masanet, Eric
2010-01-01T23:59:59.000Z
11 Table 2: Estimated natural gas end use UECs and 95%annual supply chain natural gas related GHG emissions per2: Estimated annual direct natural gas GHG emissions per
Baiao, D.; Varandas, C. [Associacao EURATOM/IST, Instituto de Plasmas e Fusao Nuclear, Instituto Superior Tecnico, Universidade Tecnica de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa (Portugal); Medina, F.; Ochando, M.; McCarthy, K.; Tabares, F.; Pastor, I. [Laboratorio Nacional de Fusion, Asociacion EURATOM-CIEMAT, Av. Complutense 40, 28040 Madrid (Spain)
2012-05-15T23:59:59.000Z
The core electron temperature (T{sub e0}) of neutral beam heated plasmas is determined in TJ-II stellarator by using soft x ray detectors with beryllium filters of different thickness, based on the method known as the foil absorption technique. T{sub e0} estimations are done with the impurity code IONEQ, making use of complementary information from the TJ-II soft x ray tomography and the VUV survey diagnostics. When considering the actual electron density and temperature profile shapes, an acceptable agreement is found with Thomson scattering measurements for 8 different magnetic configurations. The impact of the use of both neutral beam injectors on the T{sub e0} measurements is addressed. Also, the behaviour of T{sub e0} during spontaneous profile transitions is presented.
Potanin, E. P., E-mail: potanin@imp.kiae.ru; Ustinov, A. L. [National Research Centre Kurchatov Institute (Russian Federation)
2013-06-15T23:59:59.000Z
The parameters of a calcium plasma source based on an electron cyclotron resonance (ECR) discharge were calculated. The analysis was performed as applied to an ion cyclotron resonance system designed for separation of calcium isotopes. The plasma electrons in the source were heated by gyrotron microwave radiation in the zone of the inhomogeneous magnetic field. It was assumed that, in such a combined trap, the energy of the extraordinary microwave propagating from the high-field side was initially transferred to a small group of resonance electrons. As a result, two electron components with different transverse temperatures-the hot resonance component and the cold nonresonance component-were created in the plasma. The longitudinal temperatures of both components were assumed to be equal. The entire discharge space was divided into a narrow ECR zone, where resonance electrons acquired transverse energy, and the region of the discharge itself, where the gas was ionized. The transverse energy of resonance electrons was calculated by solving the equations for electron motion in an inhomogeneous magnetic field. Using the law of energy conservation and the balance condition for the number of hot electrons entering the discharge zone and cooled due to ionization and elastic collisions, the density of hot electrons was estimated and the dependence of the longitudinal temperature T{sub e Parallel-To} of the main (cold) electron component on the energy fraction {beta} lost for radiation was obtained.
Cost Estimating, Analysis, and Standardization
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1984-11-02T23:59:59.000Z
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
CONSULTANT REPORT 2009 CALIFORNIA RESIDENTIAL
. Data collection was completed in early 2010. The study yielded energy consumption estimates for 27 statistical methods to combine survey data, household energy consumption data and weather information Commission, conditional demand analysis, CDA, unit energy consumption, UEC, residential, appliance
Thermodynamic estimation: Ionic materials
Glasser, Leslie, E-mail: l.glasser@curtin.edu.au
2013-10-15T23:59:59.000Z
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.
Microsoft Word - UEC Town_Hall_Meeting_notes.docx
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UEC MSP mod. OPSYE Technologie des centrales nucleaires
Ravelet, Florent
;Organisation 1 Energie Nucl´eaire (12h) 2 CAO et PLM (6h+6h) 3 Analyse des Risques (4.5h) 4 Analyse Modale (6h, coefficient 1. F. Ravelet (Lab. DynFluid) Organisation du support 23 juillet 2014 4 / 9 #12;CAO & PLM -- PLM (F. Segonds & N. Maranzana, 6h). Note B, coefficient 0.5. F. Ravelet (Lab. DynFluid) Organisation
CNMS_UEC_19_Sep_2011_Smith.pptx
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Lehman, Brad
output power of a solar photovoltaic array under the non-uniform shadow conditions at a given geographic as inputs, a multilayer feed-forward neural network estimates the output power of the solar photovoltaic output power of the solar PV arrays accurately. Further, the network is able to estimate the maximum
Coelho, R.; Alves, D. [Instituto de Plasmas e Fusao Nuclear, Associacao Euratom/IST, 1049-001 Lisboa (Portugal); Hawkes, N.; Brix, M. [Euratom/UKAEA Fusion Association, Culham Science Centre, Abingdon, Oxon, OX14 3DB (United Kingdom); Collaboration: JET EFDA Contributors
2009-06-15T23:59:59.000Z
A novel technique for the real-time measurement of the magnetic field pitch angle in JET discharges using the motional Stark effect diagnostic is presented. Kalman filtering techniques are adopted to estimate the amplitude of the avalanche photodiode signals' harmonics that are relevant for the pitch angle calculation. The proposed technique {l_brace}for extended technical details of the generic algorithm see [R. Coelho and D. Alves, IEEE Trans. Plasma Sci. 37, 164 (2009)]{r_brace} is shown to be much more robust and provides less noisy estimates than an equivalent lock-in amplifier scheme, in particular when dealing with edge localized modes.
optics, infrared devices, and substrates for electronic devices. Six companies account for most of the U catalysts, 31%; fiber-optic systems, 24%; infrared optics, 23%; electronics/solar electric applications, 12 estimated to be fiber-optic systems, 40%; infrared optics, 30%; electronics/solar electric applications, 20
of fiber optics, infrared devices, and substrates for electronic devices. Six companies account for most-optic systems, 35%; infrared optics, 30%; polymerization catalysts, 15%; electronics and solar electric and were estimated to be infrared optics, 50%; fiber-optic systems, 30%; electronics and solar electric
Estimating Temperature Distributions In Geothermal Areas Using...
an analytical model, showing that the errors in neuronet temperature estimates based on well log data derive from: (a) the neuronet "education level" (which depends on the amount...
Monotonic Local Decay Estimates
Avy Soffer
2011-10-29T23:59:59.000Z
For the Hamiltonian operator H = -{\\Delta}+V(x) of the Schr\\"odinger Equation with a repulsive potential, the problem of local decay is considered. It is analyzed by a direct method, based on a new, L^2 bounded, propagation observable. The resulting decay estimate, is in certain cases monotonic in time, with no "Quantum Corrections". This method is then applied to some examples in one and higher dimensions. In particular the case of the Wave Equation on a Schwarzschild manifold is redone: Local decay, stronger than the known ones are proved (minimal loss of angular derivatives and lower order of radial derivatives of initial data). The method developed here can be an alternative in some cases to the Morawetz type estimates, with L^2-multipliers replacing the first order operators. It provides an alternative to Mourre's method, by including thresholds and high energies.
Operating Costs Estimates Cost Indices
Boisvert, Jeff
cost projections · Chemical Engineering (CE) Plant Construction Cost Index Base value = 100 in 1957.0 in 2Q 2001 · Engineering News Record (ENR) · Nelson Refinery (NR) Construction Cost Index Cost Indices available for estimation are based upon the past · These data must be updated using cost indexes . · Cost
Liu, J; Bourland, J [Wake Forest University, Winston-salem, NC (United States)
2014-06-01T23:59:59.000Z
Purpose: To analytically estimate first-order x-ray scatter for kV cone beam x-ray imaging with high computational efficiency. Methods: In calculating first-order scatter using the Klein-Nishina formula, we found that by integrating the point-to-point scatter along an interaction line, a “pencil-beam” scatter kernel (BSK) can be approximated to a quartic expression when the imaging field is small. This BSK model for monoenergetic, 100keV x-rays has been verified on homogeneous cube and cylinder water phantoms by comparing with the exact implementation of KN formula. For heterogeneous medium, the water-equivalent length of a BSK was acquired with an improved Siddon's ray-tracing algorithm, which was also used in calculating pre- and post- scattering attenuation. To include the electron binding effect for scattering of low-kV photons, the mean corresponding scattering angle is determined from the effective point of scattered photons of a BSK. The behavior of polyenergetic x-rays was also investigated for 120kV x-rays incident to a sandwiched infinite heterogeneous slab phantom, with the electron binding effect incorporated. Exact computation and Monte Carlo simulations were performed for comparisons, using the EGSnrc code package. Results: By reducing the 3D volumetric target (o(n{sup 3})) to 2D pencil-beams (o(n{sup 2})), the computation expense can be generally lowered by n times, which our experience verifies. The scatter distribution on a flat detector shows high agreement between the analytic BSK model and exact calculations. The pixel-to-pixel differences are within (-2%, 2%) for the homogeneous cube and cylinder phantoms and within (0, 6%) for the heterogeneous slab phantom. However, the Monte Carlo simulation shows increased deviation of the BSK model toward detector periphery. Conclusion: The proposed BSK model, accommodating polyenergetic x-rays and electron binding effect at low kV, shows great potential in efficiently estimating the first-order scatter from small imaging fields. We are investigating more thoroughly to improve performance and explore applications.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
This chapter focuses on the components (or elements) of the cost estimation package and their documentation.
Check Estimates and Independent Costs
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
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.
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
2009-01-01T23:59:59.000Z
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.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
The chapter describes the estimates required on government-managed projects for both general construction and environmental management.
Weldon Spring historical dose estimate
Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.
1986-07-01T23:59:59.000Z
This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.
Shi, Weisong
2014-01-01T23:59:59.000Z
on a model that estimates air emission rates of user-selected pollutants based on real-time spatially created that provides consumers with real-time information about local air emissions resulting from- ator is associated with a unique profile of air emissions, based on the type of fuel consumed
Estimating Suppression of Eddy Mixing by Mean Flows
Klocker, Andreas
Particle- and tracer-based estimates of lateral diffusivities are used to estimate the suppression of eddy mixing across strong currents. Particles and tracers are advected using a velocity field derived from sea surface ...
Vortex-Based Aero- and Hydrodynamic Estimation
Hemati, Maziar Sam
2013-01-01T23:59:59.000Z
1. The strength of a vortex tube is uniform along the tube.3. The strength of a vortex tube is invariant in time. Theof Vortex Ring Formation at the Edge of a Circular Tube. ”
HSRL mass estimate based on CALIPSO
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
NASA B-200 King Air ARCTASISDAC Operations and Science Richard Ferrare, Chris Hostetler, John Hair, Anthony Cook, David Harper, Mike Obland, Ray Rogers, Sharon Burton, Matt Shupe,...
RECOVERY-BASED ERROR ESTIMATOR FOR INTERFACE ...
2009-06-09T23:59:59.000Z
See also [17, 27, 32] for asymptotically exact .... circle that may be inscribed in K. Note that the assumption of the regularity does not exclude ... It is well known (
Compressive Sensing Based High Resolution Channel Estimation ...
2011-09-17T23:59:59.000Z
arbitrary index set ? of cardinality M and discards the rest, and .... Lemma 2: For any given index set T with |T| = Scompression ratio of 16.
HSRL mass estimate based on CALIPSO
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville Power AdministrationHawaiiEnergyFloridaOutlook MaryVehiclesConfined Space Program,August 9,HSI BestNASA
HSRL mass estimate based on CALIPSO
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville Power AdministrationHawaiiEnergyFloridaOutlook MaryVehiclesConfined Space Program,August 9,HSI
Vortex-Based Aero- and Hydrodynamic Estimation
Hemati, Maziar Sam
2013-01-01T23:59:59.000Z
2001. [Kra91] R. Krasny. “Vortex Sheet Computations: Roll-NK94] M. Nitsche and R. Krasny. “A Numerical Study of Vortex
How to fool CMB parameter estimation
William H. Kinney
2000-05-19T23:59:59.000Z
With the release of the data from the Boomerang and MAXIMA-1 balloon flights, estimates of cosmological parameters based on the Cosmic Microwave Background (CMB) have reached unprecedented precision. In this paper I show that it is possible for these estimates to be substantially biased by features in the primordial density power spectrum. I construct primordial power spectra which mimic to within cosmic variance errors the effect of changing parameters such as the baryon density and neutrino mass, meaning that even an ideal measurement would be unable to resolve the degeneracy. Complementary measurements are necessary to resolve this ambiguity in parameter estimation efforts based on CMB temperature fluctuations alone.
Blumenthal, Jurg M.; Thompson, Wayne
2009-06-12T23:59:59.000Z
This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure....
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
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
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
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.
NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of
Oak Ridge National Laboratory
NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of Mixed System Air Conditioners and Technology #12;NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of Mixed System Air Conditioners combination, an empirically based calculation procedure may be used for estimating a unit's Energy Efficiency
On estimating avalanche danger from simulated snow profiles Sascha Bellaire
Jamieson, Bruce
On estimating avalanche danger from simulated snow profiles Sascha Bellaire 1,2 , Bruce Jamieson 1 and Geophysics, University of Innsbruck, Tyrol, Austria ABSTRACT: Estimating avalanche danger is the primary goal of avalanche warning services. Typically avalanche danger is estimated based on a variety of information
Estimating Power System Dynamic States Using Extended Kalman Filter
Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning
2014-10-31T23:59:59.000Z
Abstract—The state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated “dynamic state estimation” includes true system dynamics reflected in differential equations, not like previously proposed “dynamic state estimation” which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.
Statistical Estimation of Quantum Tomography Protocols Quality
Yu. I. Bogdanov; G. Brida; M. Genovese; S. P. Kulik; E. V. Moreva; A. P. Shurupov
2010-02-18T23:59:59.000Z
A novel operational method for estimating the efficiency of quantum state tomography protocols is suggested. It is based on a-priori estimation of the quality of an arbitrary protocol by means of universal asymptotic fidelity distribution and condition number, which takes minimal value for better protocol. We prove the adequacy of the method both with numerical modeling and through the experimental realization of several practically important protocols of quantum state tomography.
Operated device estimation framework
Rengarajan, Janarthanan
2009-05-15T23:59:59.000Z
Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution...
Operated device estimation framework
Rengarajan, Janarthanan
2009-05-15T23:59:59.000Z
protective device estimation algorithm which helps in identifying which protective devices have operated to clear a short circuit condition. The algorithm uses manufacturer’s device details, power quality data measured from substation monitoring devices...
Estimation of food consumption
Callaway, J.M. Jr.
1992-04-01T23:59:59.000Z
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.
ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS
Masanet, Eric
2010-01-01T23:59:59.000Z
database contains energy and cost savings estimates for hundreds of different industrial technology energy savings estimates for industrial HVAC, refrigeration, and lighting systems were derived using technology measure data from the IAC database. technology unit energy consumption (UEC) 6 and saturation data from the California Residential Appliance Saturation Survey (RASS) database (
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)
1997-08-01T23:59:59.000Z
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.
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
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
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.
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
Position and velocity estimation through acceleration measurements
Boyer, Edmond
from inertial sensors inherently causes errors to grow with time, commonly known as integration drift/position estimation based on inertial sensors requires some addi- tional source of information providing navigation systems (INS) aiding sensors are applied. An INS consists of a triad of orthogonal ac
Kampa, Aleksander Edward
1988-01-01T23:59:59.000Z
) December 1988 Extremal Index Estimation (December 1988) Aleksander Edward Kampa, Ecole Centrale de Paris, France Chairman of Advisory Comittee: Dr. Tailen Hsing If (X ) is a strictly stationary sequence satisfying certain n dependence restrictions (e.... g. D or A), then the relationship between the extremal properties of (X ) and its associated independent sequence (X ) n n can. under certain conditions, be summed up by a single constant Be[0. 1]. called the extremal index. Results of extreme...
Supplemental report on cost estimates'
NONE
1992-04-29T23:59:59.000Z
The Office of Management and Budget (OMB) and the U.S. Army Corps of Engineers have completed an analysis of the Department of Energy's (DOE) Fiscal Year (FY) 1993 budget request for its Environmental Restoration and Waste Management (ERWM) program. The results were presented to an interagency review group (IAG) of senior-Administration officials for their consideration in the budget process. This analysis included evaluations of the underlying legal requirements and cost estimates on which the ERWM budget request was based. The major conclusions are contained in a separate report entitled, ''Interagency Review of the Department of Energy Environmental Restoration and Waste Management Program.'' This Corps supplemental report provides greater detail on the cost analysis.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Activity Based Costing (ABC) is method for developing cost estimates in which the project is subdivided into discrete, quantifiable activities or a work unit. This chapter outlines the Activity Based Costing method and discusses applicable uses of ABC.
REQUESTS FOR RETIREMENT ESTIMATE
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 of Thomas P.Oil,J. B.Department ofEnergyREQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions:
Battery Calendar Life Estimator Manual Modeling and Simulation
Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia
2012-10-01T23:59:59.000Z
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.
Microsoft Word - UEC meeting with SHUG reps 09-17-09.doc
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3. EFFECTIVE DATE (M/D/Y) See9,4/2013 CNMS User Group
Microsoft Word - CNMS UEC Meeting 09-26-08 minutes.doc
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy Michigan:RECORD OF DECISION GRANTINGP R IGuide to CIPCM
Assessing the Reliability of a Human Estimator Gary D. Boetticher, Nazim Lokhandwala
Boetticher, Gary D.
than humans make [2]. Algorithmic-based estimation approaches are based on human subjectivity. The post-architecture from estimating models to current projects and organization environments in order to achieveAssessing the Reliability of a Human Estimator Gary D. Boetticher, Nazim Lokhandwala University
Concurrent signal combining and channel estimation in digital communications
Ormesher, Richard C. (Albuquerque, NM); Mason, John J. (Albuquerque, NM)
2011-08-30T23:59:59.000Z
In the reception of digital information transmitted on a communication channel, a characteristic exhibited by the communication channel during transmission of the digital information is estimated based on a communication signal that represents the digital information and has been received via the communication channel. Concurrently with the estimating, the communication signal is used to decide what digital information was transmitted.
The ARM Best Estimate 2-dimensional Gridded Surface
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Xie,Shaocheng; Qi, Tang
The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set.
Sensitivity of health risk estimates to air quality adjustment procedure
Whitfield, R.G.
1997-06-30T23:59:59.000Z
This letter is a summary of risk results associated with exposure estimates using two-parameter Weibull and quadratic air quality adjustment procedures (AQAPs). New exposure estimates were developed for children and child-occurrences, six urban areas, and five alternative air quality scenarios. In all cases, the Weibull and quadratic results are compared to previous results, which are based on a proportional AQAP.
STATISTICAL METHODS FOR1 ESTIMATING HISTORICAL FIRE2
Reed, W.J.
STATISTICAL METHODS FOR1 ESTIMATING HISTORICAL FIRE2 FREQUENCY FROM MULTIPLE FIRE3 SCAR DATA.4 of fire-interval charts8 based on fire-scar data. Estimation of the fire interval (expected time9 between scar-registering fires at any location) by maximum likelihood10 is presented. Because of the fact
Dynamic Bayesian Networks model to estimate process availability.
Paris-Sud XI, Université de
Dynamic Bayesian Networks model to estimate process availability. Weber P. Centre de Recherche en reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability of the system availability estimation comparing DBN model with the classical Markov chain model. Keywords
Probability Density Function Estimation Using Orthogonal Forward Regression
Chen, Sheng
Probability Density Function Estimation Using Orthogonal Forward Regression S. Chen, X. Hong and C estimation is formulated as a regression problem and the orthogonal forward regression tech- nique is adopted procedure. Two examples are used to demonstrate the ability of this regression- based approach
Web integrated cost estimation system in architecture education
Darapureddy, K.S. Kiran
2001-01-01T23:59:59.000Z
these objectives a Web-based cost estimation system has been developed. This software has been developed using Active Server Pages (ASP), Microsoft Access database, Structured Query Language (SQL) and the Internet technology. In order to find students' inclination...
Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled
Reports and Publications (EIA)
2000-01-01T23:59:59.000Z
The findings described here compare odometer readings with self-reported estimates of Vehicle Miles Traveled (VMT) to investigate to what extent self-reported VMT is a reliable surrogate for odometer-based VMT.
Estimating A Shear Modulus Of A Transversely Isotropic Formation
Ellefsen, K. J.
1990-01-01T23:59:59.000Z
A method to estimate c[subscript 66], which is a shear modulus of a transversely isotropic formation (with its symmetry axis parallel to the borehole), is developed and tested. The inversion for c[subscript 66] is based ...
Strichartz Estimates for the Water-Wave Problem with Surface Tension
Christianson, Hans
Strichartz-type estimates for one-dimensional surface water-waves under surface tension are studied, based on the formulation of the problem as a nonlinear dispersive equation. We establish a family of dispersion estimates ...
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2013-07-31T23:59:59.000Z
This paper presents a parallel state estimation (PSE) implementation using a preconditioned gradient algorithm and an orthogonal decomposition-based algorithm. The preliminary tests against a commercial Energy Management System (EMS) State Estimation (SE) tool using real-world data are performed. The results show that while the precondition gradient algorithm can solve the SE problem quicker with the help of parallel computing techniques, it might not be good for real-world data due to the large condition number of gain matrix introduced by the wide range of measurement weights. With the help of PETSc package and considering one iteration of the SE process, the orthogonal decomposition-based PSE algorithm can achieve 5-20 times speedup comparing against the commercial EMS tool. It is very promising that the developed PSE can solve the SE problem for large power systems at the SCADA rate, to improve grid reliability.
Evaluation of mutual information estimators on nonlinear dynamic systems
A. Papana; D. Kugiumtzis
2008-09-12T23:59:59.000Z
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.
Of fishes and birthdays: Efficient estimation of polymer configurational entropies
Nemenman, Ilya; Strauss, Charlie E
2015-01-01T23:59:59.000Z
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.
Estimating pixel variances in the scenes of staring sensors
Simonson, Katherine M. (Cedar Crest, NM); Ma, Tian J. (Albuquerque, NM)
2012-01-24T23:59:59.000Z
A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.
Fatigue Data Base," Proceedings of the IEA Fourth Symposium of Wind Turbine Fatigue, IEA, Implementing Agreement for Co-operation in the Research and Development of Wind Turbine Systems - Annex XI, February 1996 for European materials, to analyze the service lifetime of a wind turbine blade subjected to the WISPER load
Guidelines for Estimating Unmetered Landscaping Water Use
McMordie Stoughton, Kate
2010-07-28T23:59:59.000Z
The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy “one-stop-shop” for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.
Examples of Cost Estimation Packages
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.
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
Kalman filter data assimilation: Targeting observations and parameter estimation
Bellsky, Thomas, E-mail: bellskyt@asu.edu; Kostelich, Eric J.; Mahalov, Alex [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)] [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)
2014-06-15T23:59:59.000Z
This paper studies the effect of targeted observations on state and parameter estimates determined with Kalman filter data assimilation (DA) techniques. We first provide an analytical result demonstrating that targeting observations within the Kalman filter for a linear model can significantly reduce state estimation error as opposed to fixed or randomly located observations. We next conduct observing system simulation experiments for a chaotic model of meteorological interest, where we demonstrate that the local ensemble transform Kalman filter (LETKF) with targeted observations based on largest ensemble variance is skillful in providing more accurate state estimates than the LETKF with randomly located observations. Additionally, we find that a hybrid ensemble Kalman filter parameter estimation method accurately updates model parameters within the targeted observation context to further improve state estimation.
Farag, Aly A.
by information theoretic approach, using the Akiake Information Criterion (AIC). This paper provides empirical the weights may take positive and negative values. Various statistical properties of the estimator are studied evaluation of the estimator with respect to window-based estimators and the classical linear combinations
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
Location Prediction in Social Media Based on Tie Strength
McGee, Jeffrey A
2013-04-29T23:59:59.000Z
We propose a novel network-based approach for location estimation in social media that integrates evidence of the social tie strength between users for improved location estimation. Concretely, we propose a location estimator – Friendly...
Dynamic State Estimation Utilizing High Performance Computing Methods
Schneider, Kevin P.; Huang, Zhenyu; Yang, Bo; Hauer, Matthew L.; Nieplocha, Jaroslaw
2009-03-18T23:59:59.000Z
The state estimation tools which are currently deployed in power system control rooms are based on a quasi-steady-state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper presents an overview of the Kalman Filtering process and then focuses on the implementation of the predication component on multiple processors.
Estimating propagation velocity through a surface acoustic wave sensor
Xu, Wenyuan (Oakdale, MN); Huizinga, John S. (Dellwood, MN)
2010-03-16T23:59:59.000Z
Techniques are described for estimating the propagation velocity through a surface acoustic wave sensor. In particular, techniques which measure and exploit a proper segment of phase frequency response of the surface acoustic wave sensor are described for use as a basis of bacterial detection by the sensor. As described, use of velocity estimation based on a proper segment of phase frequency response has advantages over conventional techniques that use phase shift as the basis for detection.
Estimates of Savings Achievable from Irrigation Controller
Williams, Alison; Fuchs, Heidi; Whitehead, Camilla Dunham
2014-03-28T23:59:59.000Z
This paper performs a literature review and meta-analysis of water savings from several types of advanced irrigation controllers: rain sensors (RS), weather-based irrigation controllers (WBIC), and soil moisture sensors (SMS).The purpose of this work is to derive average water savings per controller type, based to the extent possible on all available data. After a preliminary data scrubbing, we utilized a series of analytical filters to develop our best estimate of average savings. We applied filters to remove data that might bias the sample such as data self-reported by manufacturers, data resulting from studies focusing on high-water users, or data presented in a non-comparable format such as based on total household water use instead of outdoor water use. Because the resulting number of studies was too small to be statistically significant when broken down by controller type, this paper represents a survey and synthesis of available data rather than a definitive statement regarding whether the estimated water savings are representative.
Measurement enhancement for state estimation
Chen, Jian
2009-05-15T23:59:59.000Z
in the power system. A robust state estimation should have the capability of keeping the system observable during different contingencies, as well as detecting and identifying the gross errors in measurement set and network topology. However, this capability...
Estimation of resources and reserves
Massachusetts Institute of Technology. Energy Laboratory.
1982-01-01T23:59:59.000Z
This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...
Motion Estimation from Disparity Images
Demirdjian, D.
2001-05-07T23:59:59.000Z
A new method for 3D rigid motion estimation from stereo is proposed in this paper. The appealing feature of this method is that it directly uses the disparity images obtained from stereo matching. We assume that the stereo ...
Kernel regression estimates of time delays between gravitationally lensed fluxes
Otaibi, Sultanah AL; Cuevas-Tello, Juan C; Mandel, Ilya; Raychaudhury, Somak
2015-01-01T23:59:59.000Z
Strongly lensed variable quasars can serve as precise cosmological probes, provided that time delays between the image fluxes can be accurately measured. A number of methods have been proposed to address this problem. In this paper, we explore in detail a new approach based on kernel regression estimates, which is able to estimate a single time delay given several datasets for the same quasar. We develop realistic artificial data sets in order to carry out controlled experiments to test of performance of this new approach. We also test our method on real data from strongly lensed quasar Q0957+561 and compare our estimates against existing results.
Estimate product quality with ANNs
Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)
1996-09-01T23:59:59.000Z
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.
Kong, Rong, E-mail: kongr413@yahoo.com [Veros Software Inc., 2333 N. Broadway, Santa Ana, CA 92706 (United States)] [Veros Software Inc., 2333 N. Broadway, Santa Ana, CA 92706 (United States); Spanier, Jerome, E-mail: jspanier@uci.edu [Beckman Laser Institute and Medical Clinic, 1002 Health Science Road E., University of California, Irvine, CA 92612 (United States)] [Beckman Laser Institute and Medical Clinic, 1002 Health Science Road E., University of California, Irvine, CA 92612 (United States)
2013-06-01T23:59:59.000Z
In this paper we develop novel extensions of collision and track length estimators for the complete space-angle solutions of radiative transport problems. We derive the relevant equations, prove that our new estimators are unbiased, and compare their performance with that of more conventional estimators. Such comparisons based on numerical solutions of simple one dimensional slab problems indicate the the potential superiority of the new estimators for a wide variety of more general transport problems.
ORNL/TM-2002/225 Estimating Impacts of Diesel Fuel
ORNL/TM-2002/225 Estimating Impacts of Diesel Fuel Reformulation with Vector-based Blending IMPACTS OF DIESEL FUEL REFORMULATION WITH VECTOR-BASED BLENDING G. R. Hadder Transportation Technology
Quick Estimate of IRR From Capital Estimate Ratios
Larson, R. J.
specific problem. However, the derivation is simple enough so that a new chart can be derived, using the principles described, which is applicable to a specific situation or class of situations. Using conventional Discounted Cash Flow techniques... of the use of this chart is as follows: The estimate capital to carry out a proj ct is $24,000. The estimated savings to be experienced n the first year of operation is $11,300. 21 ESL-IE-85-05-05 Proceedings from the Seventh National Industrial Energy...
Zheng, Yue
2014-10-13T23:59:59.000Z
and small urban transit facility industry. Unique characteristics and risk factors of those facilities were identified. A cost estimating database was constructed based on the historical cost data collected through online surveys. A cost estimating prototype...
Ungar, Lyle H.
prediction lim- its for ANN's: a frequentist approach, based on stan- dard non-linear regression theory for estimating the prediction uncertainties of non- linear regressionseee.g Seberand Wild, 1989, based on localEstimating Prediction Intervals for Arti cial Neural Networks Lyle H. Ungar Richard D. De Veaux
PELLET COUNT INDICES COMPARED TO MARKRECAPTURE ESTIMATES FOR EVALUATING SNOWSHOE HARE DENSITY
PELLET COUNT INDICES COMPARED TO MARKRECAPTURE ESTIMATES FOR EVALUATING SNOWSHOE HARE DENSITY L in the contiguous United States. Efforts to evalu- ate hare densities using pellets have traditionally been based there was concordance between pellet-based predictions and markrecapture density estimates of hares. We developed local
Cosmological parameter estimation: impact of CMB aberration
Catena, Riccardo [Institut für Theoretische Physik, Friedrich-Hund-Platz 1, 37077 Göttingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de Física Fondamental i Institut de Ciéncies del Cosmos, Universitat de Barcelona, Martí i Franqués 1, 08028 Barcelona (Spain)
2013-04-01T23:59:59.000Z
The peculiar motion of an observer with respect to the CMB rest frame induces an apparent deflection of the observed CMB photons, i.e. aberration, and a shift in their frequency, i.e. Doppler effect. Both effects distort the temperature multipoles a{sub lm}'s via a mixing matrix at any l. The common lore when performing a CMB based cosmological parameter estimation is to consider that Doppler affects only the l = 1 multipole, and neglect any other corrections. In this paper we reconsider the validity of this assumption, showing that it is actually not robust when sky cuts are included to model CMB foreground contaminations. Assuming a simple fiducial cosmological model with five parameters, we simulated CMB temperature maps of the sky in a WMAP-like and in a Planck-like experiment and added aberration and Doppler effects to the maps. We then analyzed with a MCMC in a Bayesian framework the maps with and without aberration and Doppler effects in order to assess the ability of reconstructing the parameters of the fiducial model. We find that, depending on the specific realization of the simulated data, the parameters can be biased up to one standard deviation for WMAP and almost two standard deviations for Planck. Therefore we conclude that in general it is not a solid assumption to neglect aberration in a CMB based cosmological parameter estimation.
Adjusted Estimates of Texas Natural Gas Production
U.S. Energy Information Administration (EIA) Indexed Site
1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural...
Hydrogen Production Cost Estimate Using Biomass Gasification...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is the...
Improving Estimation Accuracy of Aggregate Queries on Data Cubes
Pourabbas, Elaheh; Shoshani, Arie
2008-08-15T23:59:59.000Z
In this paper, we investigate the problem of estimation of a target database from summary databases derived from a base data cube. We show that such estimates can be derived by choosing a primary database which uses a proxy database to estimate the results. This technique is common in statistics, but an important issue we are addressing is the accuracy of these estimates. Specifically, given multiple primary and multiple proxy databases, that share the same summary measure, the problem is how to select the primary and proxy databases that will generate the most accurate target database estimation possible. We propose an algorithmic approach for determining the steps to select or compute the source databases from multiple summary databases, which makes use of the principles of information entropy. We show that the source databases with the largest number of cells in common provide the more accurate estimates. We prove that this is consistent with maximizing the entropy. We provide some experimental results on the accuracy of the target database estimation in order to verify our results.
Feasibility Studies of Applying Kalman Filter Techniques to Power System Dynamic State Estimation
Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jarek
2007-08-01T23:59:59.000Z
Abstract—Lack of dynamic information in power system operations mainly attributes to the static modeling of traditional state estimation, as state estimation is the basis driving many other operations functions. This paper investigates the feasibility of applying Kalman filter techniques to enable the inclusion of dynamic modeling in the state estimation process and the estimation of power system dynamic states. The proposed Kalman-filter-based dynamic state estimation is tested on a multi-machine system with both large and small disturbances. Sensitivity studies of the dynamic state estimation performance with respect to measurement characteristics – sampling rate and noise level – are presented as well. The study results show that there is a promising path forward to implementation the Kalman-filter-based dynamic state estimation with the emerging phasor measurement technologies.
Enhancement of satellite precipitation estimation via unsupervised dimensionality reduction
Mahrooghy, Majid [Mississippi State University (MSU); Younan, Nicolas H. [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Aanstoos, James [Mississippi State University (MSU)
2012-01-01T23:59:59.000Z
A methodology to enhance Satellite Precipitation Estimation (SPE) using unsupervised dimensionality reduction (UDR) techniques is developed. This enhanced technique is an extension to the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network (PERSIANN) and Cloud Classification System (CCS) method (PERSIANN-CCS) enriched using wavelet features combined with dimensionality reduction. Cloud-top brightness temperature measurements from Geostationary Operational Environmental Satellite (GOES-12) are used for precipitation estimation at 4 km 4 km spatial resolutions every 30 min. The study area in the continental United States covers parts of Louisiana, Arkansas, Kansas, Tennessee, Mississippi, and Alabama. Based on quantitative measures, root mean square error (RMSE) and Heidke skill score (HSS), the results show that the UDR techniques can improve the precipitation estimation accuracy. In addition, ICA is shown to have better performance than other UDR techniques; and in some cases, it achieves 10% improvement in the HSS.
Efficient Power System State Estimation
Lavaei, Javad
monitoring of power systems. 2. Background Power systems have four main components: transmission, sub-transmissionEfficient Power System State Estimation Zafirah Baksh Expected BS, Department of Electrical Engineering May 2013 ELEN E4511 Power Systems Analysis Professor Javad Lavaeiyanesi #12;1. Introduction Power
TOWARDS ESTIMATING TOTAL ECONOMIC VALUE
Bateman, Ian J.
TOWARDS ESTIMATING TOTAL ECONOMIC VALUE OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello Cervigni Dominic Moran Centre for Social and SEDESOL for their assistance whilst in Mexico, and David Pearce and Kerry Turner for comments on earlier
Empirical Bayes Estimation of Reliability
Pensky, Marianna
types of equipment relies on statistical inference about char- acteristics of reliabilityEmpirical Bayes Estimation of Reliability Introduction Assessment of the reliability of various such as reliability function, mean lifetime of the devices, or failure rate. Gen- eral techniques of statistical
Mandatory Photovoltaic System Cost Estimate
Broader source: Energy.gov [DOE]
If the customer has a ratio of estimated monthly kilowatt-hour (kWh) usage to line extension mileage that is less than or equal to 1,000, the utility must provide the comparison at no cost. If the...
Wu, Jiun-Yu
2011-10-21T23:59:59.000Z
researcher can either use the ad-hoc robust sandwich standard error estimators to correct the standard error estimates (Design-based approach) or perform multilevel analysis to model the multilevel data structure (Model-based approach) to analyze dependent...
Gossip-based density estimation in dynamic heterogeneous sensor networks
Langendoen, Koen
, introduce new challenges. Moreover, churn makes the problem even more complicated. In this paper we networks. The devised method supports node mobility and churn, as well as redeployment of new nodes/exit a cluster and they do not have fixed neighbors. One of the other challenges is churn caused by either nodes
DEVELOPMENT OF A MYOELECTRIC CONTROLLER BASED ON KNEE ANGLE ESTIMATION
Carvalho, João Luiz
_delis@yahoo.com, joaoluiz@gmail.com, adson@unb.br, assis@unb.br, gaborges@ene.unb.br Keywords: Electromyographic signal and pre-processing of surface electromyographic (SEMG) signals, as well as the proposal of a myoelectric robustness. Surface electromyographic (SEMG) signals provide a non-invasive tool for investigating
A Fast Moving Horizon Estimation Algorithm Based on Nonlinear ...
2008-02-19T23:59:59.000Z
dynamic system with long time delays due to the recycle loops and multiple compression stages. The only available ... hyper-compressor. The objective is to
Recovery-based error estimators for interface problems: mixed and ...
2010-04-01T23:59:59.000Z
methods, see [1, 2, 10, 11, 12, 14, 16, 17, 26, 27] and references therein. As demonstrated ... cal continuities: the solution u and the normal component of the flux ? = ?k? u. Mathematically, this ..... k. ?1/2Em 0,? ? C hs k1/2?us,? with h.
Model-based Estimation and Inference Procedures for Clock Synchronization
Pettyjohn, Jeffrey Stuart
2010-01-01T23:59:59.000Z
strenuous to perform in a WSN. The primary interest is inwithin the limitations of a WSN. A simpler solution iswithin the limitations of a WSN. However, this constrained
A Physically-Based Estimate of Radiative Forcing by Anthropogenic...
Office of Scientific and Technical Information (OSTI)
and aerosol precursors, is coupled to a general circulation model that predicts both cloud water mass and cloud droplet number. Both number and mass of several externally-mixed...
Output-Based Error Estimation and Adaptation for Uncertainty Quantification
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey InsideMicroBooNE LArTPC SarahArea:Securitypeople |09 C-ModCareIn memoriam: Michael
On Text-Based Estimation of Document Relevance
Myllymäki, Petri
Technology HIIT Tammasaarenkatu 3, Helsinki, Finland PO BOX 9800 FI-02015 TKK, Finland http-02015 HUT, Finland 2 Department of Computer Science P.O.Box 26, FIN-00014 University of Helsinki,Finland of Technology P.O.Box 9800, FIN-02015 HUT, Finland E-mail: {Ville.Tuulos, Petri
Bayesian Color Estimation for Adaptive Vision-based Robot Localization
Schulz, Dirk
to variations in the lighting condition, a robot needs to adapt its color model to such changes. We propose that the robot can localize under different lighting conditions and adapt to changes in the lighting condition Gaussian color model which enables a robot to quickly adapt to different lighting conditions. The lower
Wavelet Based Volatility Clustering Estimation of Foreign Exchange Rates
A. N. Sekar Iyengar
2009-10-01T23:59:59.000Z
We have presented a novel technique of detecting intermittencies in a financial time series of the foreign exchange rate data of U.S.- Euro dollar(US/EUR) using a combination of both statistical and spectral techniques. This has been possible due to Continuous Wavelet Transform (CWT) analysis which has been popularly applied to fluctuating data in various fields science and engineering and is also being tried out in finance and economics. We have been able to qualitatively identify the presence of nonlinearity and chaos in the time series of the foreign exchange rates for US/EURO (United States dollar to Euro Dollar) and US/UK (United States dollar to United Kingdom Pound) currencies. Interestingly we find that for the US-INDIA(United States dollar to Indian Rupee) foreign exchange rates, no such chaotic dynamics is observed. This could be a result of the government control over the foreign exchange rates, instead of the market controlling them.
Position Estimation Scheme for Lunar Rover Based on Integration of
Kuroda, Yoji
coordinate system at center of the Earth z-axis: north celestial pole x-axis: vernal equinox direction y-axis: vernal equinox direction y-axis: right-hand system of x-z origin: the Moon We can calculate the position
OCT-based arterial elastography: robust estimation exploiting tissue
Khalil, Ahmad S.
and Anatomically-Realistic Models," Journal of Engineering Mathematics 47(3-4), 299-314 (2003). 4. R.T. Lee, F
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
Guidelines for Estimating Unmetered Landscapting Water Use
None
2010-07-30T23:59:59.000Z
Guidance to help Federal agencies estimate unmetered landscaping water use as required by Executive Order 13514
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
Enhanced State Estimators Final Project Report
. State estimators, integrated into control center energy management systems, provide estimates of varying magnitude. As a result, a state estimator is an essential tool for system monitoring becauseEnhanced State Estimators Final Project Report Power Systems Engineering Research Center A National
On the Security of Bottleneck Bandwidth Estimation Techniques
Capkun, Srdjan
been proposed and evaluated both by simulations and empirically over a number of Internet paths] or a recommended server in content distribution networks based on the highest-capacity path. Similarly, untrustedOn the Security of Bottleneck Bandwidth Estimation Techniques Ghassan Karame, David Gubler
Modified LMS Algorithm for Unbiased Impulse Response Estimation
So, Hing-Cheung
Modified LMS Algorithm for Unbiased Impulse Response Estimation in Nonstationary Noise H. C. So and a modified least mean squares (LMS) algorithm is then developed for accurate system identification in noise, the least mean squares (LMS) algorithm [2], which is based on the minimum mean squared error (MMSE) crite
Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities
-data' based on a series of simulations in which I vary energy and capital input prices over a wide range. I to calculate price- independent changes in energy-efficiency in the form of the AEEI, by comparing energyHybrid Simulation Modeling to Estimate U.S. Energy Elasticities by Adam C. Baylin-Stern B.A. & Sc
Maximum likelihood estimation of the equity Efstathios Avdis
Kahana, Michael J.
premium is usually estimated by taking the sample mean of stock returns and subtracting a measure the expected return on the aggregate stock market less the government bill rate, is of central importance an alternative esti- mator, based on maximum likelihood, that takes into account informa- tion contained
Phasor Measurement Unit Data in Power System State Estimation
Phasor Measurement Unit Data in Power System State Estimation Intermediate Project Report Power Center since 1996 PSERC #12;Power Systems Engineering Research Center Phasor Measurement Unit Data deals with the placement of phasor measurement units (PMUs) based on the improvement in error
IVCNZ 2002 SUBMISSION 1 Pose Estimation by Applied Numerical Techniques
McCane, Brendan
process of how to deform the model in order to bring it into agreement with the input image. An energy. Keywords--- Numerical Optimisation, Pose Estimation, AnalysisÂbyÂSynthesis, Optimisation Algorithms (HCI). Traditionally, researchers have split approaches into an appearanceÂbased approach and a model
Parsons Brinckerhoff New Zealand Ltd COST ESTIMATES FOR
Laughlin, Robert B.
in this Report. Limitations This Report covers technical data relating to thermal generating plants and is basedParsons Brinckerhoff New Zealand Ltd COST ESTIMATES FOR THERMAL PEAKING PLANT "FINAL REPORT information for all plant. PB has made a number of assumptive statements throughout the Report, and the Report
Washington at Seattle, University of
CJS Profile Likelihood Confidence Intervals in SURPH 3 The CJS Estimates in SURPH 3 provide point based on profile likelihoods provide a non-parametric alternative. In most instances there will be close that the profile likelihood confidence intervals should be used. The theory behind profile likelihood confidence
An Improved Virial Estimate of Solar Active Region Energy
M. S. Wheatland; T. R. Metcalf
2005-09-21T23:59:59.000Z
The MHD virial theorem may be used to estimate the magnetic energy of active regions based on vector magnetic fields measured at the photosphere or chromosphere. However, the virial estimate depends on the measured vector magnetic field being force-free. Departure from force-freeness leads to an unknown systematic error in the virial energy estimate, and an origin dependence of the result. We present a method for estimating the systematic error by assuming that magnetic forces are confined to a thin layer near the photosphere. If vector magnetic field measurements are available at two levels in the low atmosphere (e.g. the photosphere and the chromosphere), the systematic error may be directly calculated using the observed horizontal and vertical field gradients, resulting in an energy estimate which is independent of the choice of origin. If (as is generally the case) measurements are available at only one level, the systematic error may be approximated using the observed horizontal field gradients together with a simple linear force-free model for the vertical field gradients. The resulting `improved' virial energy estimate is independent of the choice of origin, but depends on the choice of the model for the vertical field gradients, i.e. the value of the linear force-free parameter $\\alpha$. This procedure is demonstrated for five vector magnetograms, including a chromospheric magnetogram.
Estimating uncertainty of inference for validation
Booker, Jane M [Los Alamos National Laboratory; Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Ross, Timothy J [UNM
2010-09-30T23:59:59.000Z
We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the first in a series of inference uncertainty estimations. While the methods demonstrated are primarily statistical, these do not preclude the use of nonprobabilistic methods for uncertainty characterization. The methods presented permit accurate determinations for validation and eventual prediction. It is a goal that these methods establish a standard against which best practice may evolve for determining degree of validation.
Bowles, David S.
Estimating Overall Risk of Dam Failure: Practical Considerations in Combining Failure Probabilities ANCOLD 2003 Risk Workshop Page 1 ESTIMATING OVERALL RISK OF DAM FAILURE: PRACTICAL CONSIDERATIONS With the move to a risk based approach to dam safety there has been a concomitant focus on estimating
Optimal Estimation of States in Quantum Image Processing
Mario Mastriani
2014-06-19T23:59:59.000Z
An optimal estimator of quantum states based on a modified Kalman Filter is presented in this work. Such estimator acts after state measurement, allowing to obtain an optimal estimation of quantum state resulting in the output of any quantum image algorithm. Besides, a new criteria, logic, and arithmetic based on projections onto vertical axis of Bloch Sphere exclusively are presented too. This approach will allow us: 1) a simpler development of logic and arithmetic quantum operations, where they will closer to those used in the classical digital image processing algorithms, 2) building simple and robust classical-to-quantum and quantum-to-classical interfaces. Said so far is extended to quantum algorithms outside image processing too. In a special section on metrics and simulations, three new metrics based on the comparison between the classical and quantum versions algorithms for filtering and edge detection of images are presented. Notable differences between the results of classical and quantum versions of such algorithms (outside and inside of quantum computer, respectively) show the need for modeling state and measurement noise inside estimation scheme.
Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant
Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa
2013-09-17T23:59:59.000Z
System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31T23:59:59.000Z
This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.
Richardson, John G. (Idaho Falls, ID)
2009-11-17T23:59:59.000Z
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.
Harmonizing Systems and Software Cost Estimation
Wang, Gan
2009-07-19T23:59:59.000Z
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 ...
Bayesian estimation of resistivities from seismic velocities
Werthmüller, Dieter
2014-06-30T23:59:59.000Z
I address the problem of finding a background model for the estimation of resistivities in the earth from controlled-source electromagnetic (CSEM) data by using seismic data and well logs as constraints. Estimation of ...
Uncertainty Quantification in ocean state estimation
Kalmikov, Alexander G
2013-01-01T23:59:59.000Z
Quantifying uncertainty and error bounds is a key outstanding challenge in ocean state estimation and climate research. It is particularly difficult due to the large dimensionality of this nonlinear estimation problem and ...
Cost Model and Cost Estimating Software
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.
Training Signal Design for Estimation of Correlated MIMO Channels with Colored
Hager, William
Training Signal Design for Estimation of Correlated MIMO Channels with Colored Interference Yong error (MMSE) channel estimator is derived and the optimal training sequences are designed based in the construction of the optimal training sequences. We also design an efficient scheme to feed back the required
ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0
Feeny, Brian
ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0 B is outlined, involving a balance of dissipated and supplied energies over a cycle of pe- riodic vibration a damping estimation method based on the balance of energy. The idea is to compute the energy input per
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
Luhua, Lai
Estimating ProteinLigand Binding Free Energy: Atomic Solvation Parameters for Partition estimation method for proteinligand binding based on atomic solvation parameter (ASP), which has been shown to improve the power of protein ligand binding free energy predictions. The ASP set, designed to handle both
Gupta, Rajesh
Power Emulation: A New Paradigm for Power Estimation Joel Coburn, Srivaths Ravi, and Anand-labs.com ABSTRACT In this work, we propose a new paradigm called power emulation, which ex- ploits hardware acceleration to drastically speedup power estimation. Power emulation is based on the observation that most
Estimating Canopy Fuel Parameters with In-Situ and Remote Sensing Data
Mutlu, Muge
2012-02-14T23:59:59.000Z
is to estimate the forest canopy fuel parameters including crown base height (CBH) and crown bulk density (CBD), and to investigate the potential of using airborne lidar data in east Texas. The specific objectives are to: (1) propose allometric estimators of CBD...
Bouaynaya, Nidhal
estimated, the neural drive can be used to control upper- extremity myoelectric prosthesis. Commonly prosthesis control problem [1]. Such algorithms are based on the assumption that there exist distinguishable the hypothesis of muscle synergies to estimate the neural drive from the surface myoelectric signal. Once
2007 Estimated International Energy Flows
Smith, C A; Belles, R D; Simon, A J
2011-03-10T23:59:59.000Z
An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.
Robustness analysis of linear estimators
Tayade, Rajeshwary
2004-09-30T23:59:59.000Z
. Conditional Maximum Likelihood, i.e. given that the conditional probability function p(yjx) is known, find x such that p(y0jx) is maximum for a particular observation y0. Thus we can have estimators that minimize the average cost, or minimizes the max- imum... as the particle moves from t0 to t is given by s = Z t t0 jx0(t)jdt (2.2) Here we have an expression for s as a function of t : s = f(t). To show that s is a regular parameter, we note that this function is also analytic. Differentiating equation 2.2 we have, ds...
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. ...
Estimating Marginal Returns to Medical Care: Evidence from At-Risk Newborns
Almond, Douglas
A key policy question is whether the benefits of additional medical expenditures exceed their costs. We propose a new approach for estimating marginal returns to medical spending based on variation in medical inputs generated ...
Determination of uncertainty in reserves estimate from analysis of production decline data
Wang, Yuhong
2007-09-17T23:59:59.000Z
Analysts increasingly have used probabilistic approaches to evaluate the uncertainty in reserves estimates based on a decline curve analysis. This is because the results represent statistical analysis of historical data that usually possess...
Six degrees of freedom estimation using monocular vision and moiré patterns
Tournier, Glenn P. (Glenn Paul)
2006-01-01T23:59:59.000Z
We present the vision-based estimation of the position and orientation of an object using a single camera relative to a novel target that incorporates the use of moire patterns. The objective is to acquire the six degree ...
Direct estimation of the mitochondrial DNA mutation rate in Drosophila melanogaster
Keightley P.D.; Charlesworth B.; Haag-Liautard C.; Coffey N.; Houle D.; Lynch M.
2008-08-01T23:59:59.000Z
Mitochondrial DNA (mtDNA) variants are widely used in evolutionary genetics as markers for population history and to estimate divergence times among taxa. Inferences of species history are generally based on phylogenetic ...
High level power estimation of cache and TLB using complete machine simulation
Bhosekar, Sunil
2002-01-01T23:59:59.000Z
reduction and memory cell redesign. Our methodology is based on the memory cell redesign, specifically the redesign of the content addressable memory (CAM). In this work, we estimate the power dissipation in the cache and the Translation Lookaside Buffer...
Determination of uncertainty in reserves estimate from analysis of production decline data
Wang, Yuhong
2007-09-17T23:59:59.000Z
Analysts increasingly have used probabilistic approaches to evaluate the uncertainty in reserves estimates based on a decline curve analysis. This is because the results represent statistical analysis of historical data ...
Bogatov, Alexandr P; Kochetkov, A A; Konyaev, V P
2011-02-28T23:59:59.000Z
Relations for estimating the reliability of heterolasers operating under irradiation conditions are calculated based on the probabilistic analysis. The accumulation of defects in their active regions is considered to be the physical cause of their failure. (lasers)
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign InCenter (LMI-EFRC) HotelJefferson LabLocal
Robust bearing estimation for 3-component stations
CLAASSEN,JOHN P.
2000-02-01T23:59:59.000Z
A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the inherent information in the arrival at every step of the process to achieve near-optimal results. In particular the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, and finally to apply bias corrections when calibration information is available to yield a single final estimate. The algorithm was applied to a small but challenging set of events in a seismically active region. It demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted from these findings.
Accurate Estimation of Gaseous Strength using Transient Data
Kar, Swarnendu; 10.1109/TIM.2010.2084731
2012-01-01T23:59:59.000Z
Information about the strength of gas sources in buildings has a number of applications in the area of building automation and control, including temperature and ventilation control, fire detection and security systems. Here, we consider the problem of estimating the strength of a gas source in an enclosure when some of the parameters of the gas transport process are unknown. Traditionally, these problems are either solved by the Maximum-Likelihood (ML) method which is accurate but computationally intense, or by Recursive Least Squares (RLS, also Kalman) filtering which is simpler but less accurate. In this paper, we suggest a different statistical estimation procedure based on the concept of Method of Moments. We outline techniques that make this procedure computationally efficient and amenable for recursive implementation. We provide a comparative analysis of our proposed method based on experimental results as well as Monte-Carlo simulations. When used with the building control systems, these algorithms ca...
Overconstrained estimates of neutrinoless double beta decay within the QRPA
Amand Faessler; Gianluigi Fogli; Eligio Lisi; Vadim Rodin; Anna Maria Rotunno; Fedor Simkovic
2008-05-29T23:59:59.000Z
Estimates of nuclear matrix elements for neutrinoless double beta decay (0nu2beta) based on the quasiparticle random phase approximations (QRPA) are affected by theoretical uncertainties, which can be substantially reduced by fixing the unknown strength parameter g_pp of the residual particle-particle interaction through one experimental constraint - most notably through the two-neutrino double beta decay (2nu2beta) lifetime. However, it has been noted that the g_pp adjustment via 2\
Estimating Wet Bulb Globe Temperature Using Standard Meteorological Measurements
Hunter, C.H.
1999-11-18T23:59:59.000Z
The heat stress management program at the Department of Energy''s Savannah River Site (SRS) requires implementation of protective controls on outdoor work based on observed values of wet bulb globe temperature (WBGT). To ensure continued compliance with heat stress program requirements, a computer algorithm was developed which calculates an estimate of WBGT using standard meteorological measurements. In addition, scripts were developed to generate a calculation every 15 minutes and post the results to an Intranet web site.
PURDUE EXTENSION Estimating Breakeven Sales
, packaging, and energy costs (fuel, electricity, natural gas) associated with #12;2 Purdue Extension, based on price and sales forecasts? · How low must fixed costs be to break even? · How sensitive and special offers) by the number of units you expect to sell. If you have created a sales forecast as part
General model selection estimation of a periodic regression with a Gaussian noise
Konev, Victor; 10.1007/s10463-008-0193-1
2010-01-01T23:59:59.000Z
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.
Asymptotic Efficiency and Finite Sample Performance of Frequentist Quantum State Estimation
Raj Chakrabarti; Anisha Ghosh
2011-11-15T23:59:59.000Z
We undertake a detailed study of the performance of maximum likelihood (ML) estimators of the density matrix of finite-dimensional quantum systems, in order to interrogate generic properties of frequentist quantum state estimation. Existing literature on frequentist quantum estimation has not rigorously examined the finite sample performance of the estimators and associated methods of hypothesis testing. While ML is usually preferred on the basis of its asymptotic properties - it achieves the Cramer-Rao (CR) lower bound - the finite sample properties are often less than optimal. We compare the asymptotic and finite-sample properties of the ML estimators and test statistics for two different choices of measurement bases: the average case optimal or mutually unbiased bases (MUB) and a representative set of suboptimal bases, for spin-1/2 and spin-1 systems. We show that, in both cases, the standard errors of the ML estimators sometimes do not contain the true value of the parameter, which can render inference based on the asymptotic properties of the ML unreliable for experimentally realistic sample sizes. The results indicate that in order to fully exploit the information geometry of quantum states and achieve smaller reconstruction errors, the use of Bayesian state reconstruction methods - which, unlike frequentist methods, do not rely on asymptotic properties - is desirable, since the estimation error is typically lower due to the incorporation of prior knowledge.
Vibration-based structural health monitoring of highway bridges
Guan, Hong
2006-01-01T23:59:59.000Z
Complex Frequency-domain (LSCF) approximation. OriginallyThe main drawbacks of the LSCF approach, which is based on aCMIF Damping estimate biased LSCF Mode shape estimate hard
Guidance on Utility Rate Estimations and Weather Normalization...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
on Utility Rate Estimations and Weather Normalization in an ESPC Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Document explains how to use estimated...
Population estimates for Phase 1: Hanford Environmental Dose Reconstruction Project
Beck, D.M.; Erickson, A.R.; Harkreader, S.A.
1992-03-01T23:59:59.000Z
This report summarizes the population estimates of Phase I of the Hanford Environmental Dose Reconstruction (HEDR) Project. These estimates were used to develop preliminary dose estimates.
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.
2010-01-01T23:59:59.000Z
most current estimates of outage costs, it is hopeful thatand D. M. Keane. “Outage Cost Estimation Guidebook,” EPRIanalysts on how to apply outage cost estimates to a smart
Fast cosmological parameter estimation using neural networks
T. Auld; M. Bridges; M. P. Hobson; S. F. Gull
2007-09-17T23:59:59.000Z
We present a method for accelerating the calculation of CMB power spectra, matter power spectra and likelihood functions for use in cosmological parameter estimation. The algorithm, called CosmoNet, is based on training a multilayer perceptron neural network and shares all the advantages of the recently released Pico algorithm of Fendt & Wandelt, but has several additional benefits in terms of simplicity, computational speed, memory requirements and ease of training. We demonstrate the capabilities of CosmoNet by computing CMB power spectra over a box in the parameter space of flat \\Lambda CDM models containing the 3\\sigma WMAP1 confidence region. We also use CosmoNet to compute the WMAP3 likelihood for flat \\Lambda CDM models and show that marginalised posteriors on parameters derived are very similar to those obtained using CAMB and the WMAP3 code. We find that the average error in the power spectra is typically 2-3% of cosmic variance, and that CosmoNet is \\sim 7 \\times 10^4 faster than CAMB (for flat models) and \\sim 6 \\times 10^6 times faster than the official WMAP3 likelihood code. CosmoNet and an interface to CosmoMC are publically available at www.mrao.cam.ac.uk/software/cosmonet.
State energy data report 1994: Consumption estimates
NONE
1996-10-01T23:59:59.000Z
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.
Budget estimates. Fiscal year 1998
NONE
1997-02-01T23:59:59.000Z
The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.
Improved diagnostic model for estimating wind energy
Endlich, R.M.; Lee, J.D.
1983-03-01T23:59:59.000Z
Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.
Factors Affecting Prostate Volume Estimation in Computed Tomography Images
Yang, Cheng-Hsiu [Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan (China); Wang, Shyh-Jen [Divisions of Experimental Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan (China); Institute of Biomedical Engineering, National Yang Ming University, Taipei, Taiwan (China); Lin, Alex Tong-Long [Divisions of Urology, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan (China); Lin, Chao-An, E-mail: calin@pme.nthu.edu.t [Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan (China)
2011-04-01T23:59:59.000Z
The aim of this study was to investigate how apex-localizing methods and the computed tomography (CT) slice thickness affected the CT-based prostate volume estimation. Twenty-eight volunteers underwent evaluations of prostate volume by CT, where the contour segmentations were performed by three observers. The bottom of ischial tuberosities (ITs) and the bulb of the penis were used as reference positions to locate the apex, and the distances to the apex were recorded as 1.3 and 2.0 cm, respectively. Interobserver variations to locate ITs and the bulb of the penis were, on average, 0.10 cm (range 0.03-0.38 cm) and 0.30 cm (range 0.00-0.98 cm), respectively. The range of CT slice thickness varied from 0.08-0.48 cm and was adopted to examine the influence of the variation on volume estimation. The volume deviation from the reference case (0.08 cm), which increases in tandem with the slice thickness, was within {+-} 3 cm{sup 3}, regardless of the adopted apex-locating reference positions. In addition, the maximum error of apex identification was 1.5 times of slice thickness. Finally, based on the precise CT films and the methods of apex identification, there were strong positive correlation coefficients for the estimated prostate volume by CT and the transabdominal ultrasonography, as found in the present study (r > 0.87; p < 0.0001), and this was confirmed by Bland-Altman analysis. These results will help to identify factors that affect prostate volume calculation and to contribute to the improved estimation of the prostate volume based on CT images.
8, 20612084, 2008 Estimation of Asian
Paris-Sud XI, Université de
ACPD 8, 20612084, 2008 Estimation of Asian dust effect on cloud radiation forcing J. Su et al Chemistry and Physics Discussions Estimation of Asian dust aerosol effect on cloud radiation forcing using of Asian dust effect on cloud radiation forcing J. Su et al. Title Page Abstract Introduction Conclusions
Quality Estimation and Segmentation of Pig Backs
Quality Estimation and Segmentation of Pig Backs Mads Fogtmann Hansen Kongens Lyngby 2005 Master the quality of the pig product "18cm back". It presents the necessary tools for deriving the measures, which are needed to perform a quality estimation. This includes finding the ribs, extracting the 18cm back from
Hydrogen Production Cost Estimate Using Biomass Gasification
Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE dollars. Costs for a pioneer plant [a 1st plant with a capacity of 500 dry ton per day (dtpd) biomass
CONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS
Brennand, Tracy
is the conflict of interest between in- formation sharing and disclosure control. Statistical agencies routinelyCONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS by Wen Wilson Lu M.Sc., Simon Fraser of Philosophy Title of thesis: Confidentiality and Variance Estimation in Complex Surveys Examining Committee
The Importance of Carbon Footprint Estimation Boundaries
Kammen, Daniel M.
The Importance of Carbon Footprint Estimation Boundaries H . S C O T T M A T T H E W S , C H R I and organizations are pursuing "carbon footprint" projects to estimate their own contributions to global climate change. Protocol definitions from carbon registries help organizations analyze their footprints
REPORT NO. 4 ESTIMATES AND EVALUATION OF
REPORT NO. 4 ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Section II History of Nuclear Weapons Testing. . . . . . . . . . . . . . . . 4 Section III Atmospheric
Schedule Estimation for Web Application Development
Fernando, Lake
2008-05-16T23:59:59.000Z
application system when it comes to estimating development time. The main reasons for difficulty in estimating hours are the dynamic nature of the business and the customer’s lack of requirements for the web application. This particular project will generate...
Falcon 9 Launch Vehicle NAFCOM Cost Estimates
. The updated estimates provided both Cost Plus Fee and Firm Fixed Price approaches and included two flight Updated Estimate Cost Plus Fee Cost Plus Fee Firm Fixed Price Cost Plus Fee Total Total Total Total in structure Interstage (composite material) was included in structures (aluminum lithium material) Interstage
Reservation Price Estimation by Adaptive Conjoint Analysis
Schmidt-Thieme, Lars
Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using
Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Abstract: Many...
Estimation of turbulence level and scale for wind turbine applications
Powell, D.C.
1988-11-01T23:59:59.000Z
A simplified method is presented for estimating onsite turbulence variance within the wind turbine layer for horizontal wind speed. The method is based principally on estimating the probability distribution of wind speed and assigning a variance to each mean wind speed based on surface roughness estimates. The model is not proposed as an alternative to onsite measurement and analysis, but rather as an adjunct to such a program. A revision of the Kaimal neutral u-component spectrum is suggested to apply to the mix of the stabilities occurring during operational winds. Values of integral length scale calculated from data analysis are shown to contradict the length scale model implicit in turbulence power spectra. Also, these calculated values are shown to be extremely sensitive to the length of the time series and the detrending method used. The analysis and modeling are extended to the rotational frame of reference for a horizontal-axis wind turbine by modeling the ratios of harmonic spike variances (1P, 2P, etc.) in the rotational spectrum to the Eulerian turbulence variance. 15 refs., 11 figs., 3 tabs.
3D Model Retrieval Using Probability Density-Based Shape Descriptors
-based descriptor can be efficiently computed via kernel density estimation (KDE) coupled with fast Gauss transform into a canonical coordin
Back-and-forth Operation of State Observers and Norm Estimation of Estimation Error
Back-and-forth Operation of State Observers and Norm Estimation of Estimation Error Hyungbo Shim with the plant, this paper proposes a state estimation algorithm that executes Luenberger observers in a back in the past have employed time-varying gains to over- come this problem [1], where the basic idea is to obtain
Behavior-based trajectory adaptation based on bucket-volume estimation
Berns, Karsten
Outdoor Robot). Long-term goal of this project is to develop a fully autonomous bucket excavator which project is to create a fully autonomous bucket excavator which is capable of performing landscaping tasks on a construction site [1]. Figure 1 shows a picture of the automated 18-ton wheeled excavator test platform. CVT
Cohen, Ronald C.
Summary We estimated total ecosystem respiration from a ponderosa pine (Pinus ponderosa Dougl. ex, 1998. We apportioned ecosystem respi- ration among heterotrophic, root, stem and foliage based on re respiration component at selected sampling points, and scaled the mea- surements up to the ecosystem based
Bae, Doo-Hwan
Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? - The Relationship between/4)( / ) Software cost estimation Definition · Task of predicting the cost required to complete a software projectproject Techniques for software cost estimation · Algorithmic estimationAlgorithmic estimation Calculate
Estimation of soil moisture in paddy field using Artificial Neural Networks
Arif, Chusnul; Setiawan, Budi Indra; Doi, Ryoichi
2013-01-01T23:59:59.000Z
In paddy field, monitoring soil moisture is required for irrigation scheduling and water resource allocation, management and planning. The current study proposes an Artificial Neural Networks (ANN) model to estimate soil moisture in paddy field with limited meteorological data. Dynamic of ANN model was adopted to estimate soil moisture with the inputs of reference evapotranspiration (ETo) and precipitation. ETo was firstly estimated using the maximum, average and minimum values of air temperature as the inputs of model. The models were performed under different weather conditions between the two paddy cultivation periods. Training process of model was carried out using the observation data in the first period, while validation process was conducted based on the observation data in the second period. Dynamic of ANN model estimated soil moisture with R2 values of 0.80 and 0.73 for training and validation processes, respectively, indicated that tight linear correlations between observed and estimated values of s...
Estimates of the financial consequences of nuclear-power-reactor accidents
Strip, D.R.
1982-09-01T23:59:59.000Z
This report develops preliminary techniques for estimating the financial consequences of potential nuclear power reactor accidents. Offsite cost estimates are based on CRAC2 calculations. Costs are assigned to health effects as well as property damage. Onsite costs are estimated for worker health effects, replacement power, and cleanup costs. Several classes of costs are not included, such as indirect costs, socio-economic costs, and health care costs. Present value discounting is explained and then used to calculate the life cycle cost of the risks of potential reactor accidents. Results of the financial consequence estimates for 156 reactor-site combinations are summarized, and detailed estimates are provided in an appendix. The results indicate that, in general, onsite costs dominate the consequences of potential accidents.
Parameter estimation with Sandage-Loeb test
Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin, E-mail: gengjiajia163@163.com, E-mail: jfzhang@mail.neu.edu.cn, E-mail: zhangxin@mail.neu.edu.cn [Department of Physics, College of Sciences, Northeastern University, Shenyang 110004 (China)
2014-12-01T23:59:59.000Z
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2 ?< z ?< 5 by detecting redshift drift in the spectra of Lyman-? forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the ?CDM, the wCDM, and the w{sub 0}w{sub a}CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between ?{sub m} and H{sub 0} in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on ?{sub m} and H{sub 0} by more than 60% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant w by about 25%, and improve the constraints on w{sub 0} and w{sub a} by about 20% and 15%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of ?{sub m}, H{sub 0}, and w{sub a} by more than 70%, 20%, and 60%, respectively, for the w{sub 0}w{sub a}CDM model.
Ball, J.R.; Cohen, S.; Ziegler, E.Z.
1984-10-01T23:59:59.000Z
This document provides overall guidance to assist the NRC in preparing the types of cost estimates required by the Regulatory Analysis Guidelines and to assist in the assignment of priorities in resolving generic safety issues. The Handbook presents an overall cost model that allows the cost analyst to develop a chronological series of activities needed to implement a specific regulatory requirement throughout all applicable commercial LWR power plants and to identify the significant cost elements for each activity. References to available cost data are provided along with rules of thumb and cost factors to assist in evaluating each cost element. A suitable code-of-accounts data base is presented to assist in organizing and aggregating costs. Rudimentary cost analysis methods are described to allow the analyst to produce a constant-dollar, lifetime cost for the requirement. A step-by-step example cost estimate is included to demonstrate the overall use of the Handbook.
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2014-10-31T23:59:59.000Z
This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.
State energy data report 1993: Consumption estimates
NONE
1995-07-01T23:59:59.000Z
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
NONE
1997-12-01T23:59:59.000Z
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.
EDDY CURRENT INVERSION AND ESTIMATION METRICS FOR EVALUATING THERMAL BARRIER COATINGS
Sabbagh, Harold A.; Murphy, R. Kim; Sabbagh, Elias H. [Victor Technologies LLC, Bloomington, IN 47401 (United States); Knopp, Jeremy S. [Air Force Research Laboratory, Wright-Patterson AFB, OH 45433 (United States); Aldrin, John C. [Computational Tools, Gurnee, IL 60031 (United States); Nyenhuis, John [Dept. of Electric Computer Engineering, Purdue University, West Lafayette, IN (United States)
2010-02-22T23:59:59.000Z
In this paper, sophisticated eddy-current techniques incorporating model-based inverse methods were successfully demonstrated to measure the thickness and remaining-life of high-temperature coatings. To further assure the performance of these inverse methods, several estimation metrics including Fisher Information, Cramer-Rao Lower Bound (CRLB), covariance, and singular value decomposition (SVD) are introduced. The connections and utility of these metrics are illustrated in the design of eddy current methods for estimating layer thickness, conductivity and probe liftoff.
Estimates of Oil Reserves Jean Laherrere
O'Donnell, Tom
Estimates of Oil Reserves Jean Laherrere e-mail: jean.laherrere@wanadoo.fr sites: http oil will solve the present problems on welfare, retirement and they would dearly love to see the reserves of oil
Minimizing Biases in Radar Precipitation Estimates
McRoberts, Douglas B
2014-12-08T23:59:59.000Z
The demand for real-time drought information in recent years led to the development of a suite of objective drought indicators that relies on the high-resolution Stage IV precipitation estimates that are produced each day ...
Budget estimates, fiscal year 1997. Volume 12
NONE
1996-03-01T23:59:59.000Z
This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.
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 ...
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.
BPA Metering Services Editing and Estimating Procedures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
be used to scale the estimated interval data with a shape projection applied. If SCADA data is available and has been mapped to the point of metering, it may be used for...
FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION
Burgman, Mark
such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing
Compressing measurements in quantum dynamic parameter estimation
Magesan, Easwar
We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with ...
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01T23:59:59.000Z
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 ...
Information Fusion for Improved Motion Estimation
Peacock, Andrew M
Motion Estimation is an important research field with many commercial applications including surveillance, navigation, robotics, and image compression. As a result, the field has received a great deal of attention and ...
Buildings GHG Mitigation Estimator Worksheet, Version 1
Broader source: Energy.gov [DOE]
Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.
Language model parameter estimation using user transcriptions
Hsu, Bo-June
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyond the unlabeled test ...
Nonlinear parameter estimation in parallel computing environments
Li, Jie
1996-01-01T23:59:59.000Z
Paragon supercomputer. We use a two-dimensional permeability estimation problem as the example to test and demonstrate the usage of the parallel PEST. An existing simulator program called US3D, which solves the three-dimensional groudwater flow...
Estimated and observed performance of a neutron SNM portal monitor for vehicles
Fehlau, P.E.; Close, D.A.; Coop, K.L.; York, R.
1996-11-01T23:59:59.000Z
In July 1987, we completed our development of a neutron-detection- based vehicle SNM portal monitor with a conference paper presented at the annual meeting. The paper described the neutron vehicle portal (NVP), described source-response measurements made with it at Los Alamos, and gave our estimate of the monitor`s potential performance. Later, in December 1988, we had a chance to do a performance test with the monitor in a plant environment. This paper discusses how our original performance estimate should vary in different circumstances, and it uses the information to make a comparison between the monitor`s estimated and actual performance during the 1988 performance testing.
Coverage and large scale anisotropies estimation methods for the Pierre Auger Observatory
Hamilton, Jean-Christophe; /Paris, IN2P3
2005-07-01T23:59:59.000Z
When searching for anisotropies in the arrival directions of Ultra High Energy Cosmic Rays, one must estimate the number of events expected in each direction of the sky in the case of a perfect isotropy. We present in this article a new method, developed for the Auger Observatory, based on a smooth estimate of the zenith angle distribution obtained from the data itself (which is essentially unchanged in the case of the presence of a large scale anisotropy pattern). We also study the sensitivity of several methods to detect large-scale anisotropies in the cosmic ray arrival direction distribution : Rayleigh analysis, dipole fitting and angular power spectrum estimation.
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
2012-01-01T23:59:59.000Z
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.
Sub-Second Parallel State Estimation
Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu
2014-10-31T23:59:59.000Z
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 diesel engine performance by indirect methods
McKiernan, Michael
1987-01-01T23:59:59.000Z
ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT METHODS A Thesis by MICHAEL MCKIERNAN Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements of the degree of MASTER OF SCIENCE May 1987 Major... Subject: Agricultural Engineering ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT NETHODS A Thesis by NICHAEL MCKIERNAN Approved as to style and content by: i A. Stout (Chairman of Comittee) ephen W. Searcy (Member) Thomas R. La (Nember...
Estimates of US biomass energy consumption 1992
Not Available
1994-05-06T23:59:59.000Z
This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.
Guidelines for Estimating Unmetered Industrial Water Use
Boyd, Brian K.
2010-08-01T23:59:59.000Z
The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.
Estimating diesel engine performance by indirect methods
McKiernan, Michael
1987-01-01T23:59:59.000Z
ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT METHODS A Thesis by MICHAEL MCKIERNAN Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements of the degree of MASTER OF SCIENCE May 1987 Major... Subject: Agricultural Engineering ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT NETHODS A Thesis by NICHAEL MCKIERNAN Approved as to style and content by: i A. Stout (Chairman of Comittee) ephen W. Searcy (Member) Thomas R. La (Nember...
On Quantum Channel Estimation with Minimal Resources
M. Zorzi; F. Ticozzi; A. Ferrante
2011-06-10T23:59:59.000Z
We determine the minimal experimental resources that ensure a unique solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically admissible solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.
LAT and Solar Neutrons: Preliminary estimates
Longo, Francesco [Department of Physics, University of Trieste, Trieste, via Valerio 2, 34127 Trieste (Italy)]|[INFN, Trieste, via Valerio 2, 34127 Trieste (Italy)
2007-07-12T23:59:59.000Z
GLAST LAT will detect several solar flares in gamma rays. Motivated by the CGRO results on neutrons emitted during a solar flare, we try to estimate the possibility of the LAT to detect solar neutrons. Besides gamma rays, neutrons could indeed interact in the LAT instrument and mimic a gamma-ray signal. An estimate of the contamination of gamma-ray detection in solar flares by the neutron component is given.
Calibration and Measurement Uncertainty Estimation of Radiometric Data: Preprint
Habte, A.; Sengupta, M.; Reda, I.; Andreas, A.; Konings, J.
2014-11-01T23:59:59.000Z
Evaluating the performance of photovoltaic cells, modules, and arrays that form large solar deployments relies on accurate measurements of the available solar resource. Therefore, determining the accuracy of these solar radiation measurements provides a better understanding of investment risks. This paper provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements by radiometers using methods that follow the International Bureau of Weights and Measures Guide to the Expression of Uncertainty (GUM). Standardized analysis based on these procedures ensures that the uncertainty quoted is well documented.
Combined Estimation of Hydrogeologic Conceptual Model and Parameter Uncertainty
Meyer, Philip D.; Ye, Ming; Neuman, Shlomo P.; Cantrell, Kirk J.
2004-03-01T23:59:59.000Z
The objective of the research described in this report is the development and application of a methodology for comprehensively assessing the hydrogeologic uncertainties involved in dose assessment, including uncertainties associated with conceptual models, parameters, and scenarios. This report describes and applies a statistical method to quantitatively estimate the combined uncertainty in model predictions arising from conceptual model and parameter uncertainties. The method relies on model averaging to combine the predictions of a set of alternative models. Implementation is driven by the available data. When there is minimal site-specific data the method can be carried out with prior parameter estimates based on generic data and subjective prior model probabilities. For sites with observations of system behavior (and optionally data characterizing model parameters), the method uses model calibration to update the prior parameter estimates and model probabilities based on the correspondence between model predictions and site observations. The set of model alternatives can contain both simplified and complex models, with the requirement that all models be based on the same set of data. The method was applied to the geostatistical modeling of air permeability at a fractured rock site. Seven alternative variogram models of log air permeability were considered to represent data from single-hole pneumatic injection tests in six boreholes at the site. Unbiased maximum likelihood estimates of variogram and drift parameters were obtained for each model. Standard information criteria provided an ambiguous ranking of the models, which would not justify selecting one of them and discarding all others as is commonly done in practice. Instead, some of the models were eliminated based on their negligibly small updated probabilities and the rest were used to project the measured log permeabilities by kriging onto a rock volume containing the six boreholes. These four projections, and associated kriging variances, were averaged using the posterior model probabilities as weights. Finally, cross-validation was conducted by eliminating from consideration all data from one borehole at a time, repeating the above process, and comparing the predictive capability of the model-averaged result with that of each individual model. Using two quantitative measures of comparison, the model-averaged result was superior to any individual geostatistical model of log permeability considered.
Harris, James M.; Prescott, Ryan; Dawson, Jericah M.; Huelskamp, Robert M.
2014-11-01T23:59:59.000Z
Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, based on leveraging a fully funded, Sandia executed NDC Modernization project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.
Dickerson, Russell R.
New methodology for estimating biofuel consumption for cooking: Atmospheric emissions of black; accepted 8 June 2004; published 30 July 2004. [1] The dominance of biofuel combustion emissions in the Indian region, and the inherently large uncertainty in biofuel use estimates based on cooking energy
Paris-Sud XI, Université de
TO NICKEL MICROSTRUCTURE SIZE ESTIMATION. Abbreviated Title ESTIMATING THE SECTION ANGLE OF CUBES ON A CUBIC MESH FOR NICKEL SUPERALLOY CHARACTERISATION. Christian GERMAIN, Rémy BLANC, Marc DONIAS, Olivier are applicable to materials such as nickel base superalloys, the microstructure of which shows cubes arranged
Uncertainty Estimation Improves Energy Measurement and Verification Procedures
Walter, Travis; Price, Phillip N.; Sohn, Michael D.
2014-05-14T23:59:59.000Z
Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.
Applying guidance for methane emission estimation for landfills
Scharff, Heijo [NV Afvalzorg, Postbus 2, 1566 ZG Assendelft (Netherlands)]. E-mail: h.scharff@afvalzorg.nl; Jacobs, Joeri [NV Afvalzorg, Postbus 2, 1566 ZG Assendelft (Netherlands)]. E-mail: j.jacobs@afvalzorg.nl
2006-07-01T23:59:59.000Z
Quantification of methane emission from landfills is important to evaluate measures for reduction of greenhouse gas emissions. Both the United Nations and the European Union have adopted protocols to ensure quantification of methane emission from individual landfills. The purpose of these protocols is to disclose emission data to regulators and the general public. Criteria such as timeliness, completeness, certainty, comparability, consistency and transparency are set for inclusion of emission data in a publicly accessible database. All methods given as guidance to landfill operators to estimate landfill methane emissions are based on models. In this paper the consequences of applying six different models for estimates of three landfills are explored. It is not the intention of this paper to criticise or validate models. The modelling results are compared with whole site methane emission measurements. A huge difference in results is observed. This raises doubts about the accuracy of the models. It also indicates that at least some of the criteria previously mentioned are not met for the tools currently available to estimate methane emissions from individual landfills. This will inevitably lead to compiling and comparing data with an incomparable origin. Harmonisation of models is recommended. This may not necessarily reduce uncertainty, but it will at least result in comparable, consistent and transparent data.
Decommissioning Cost Estimating Factors And Earned Value Integration
Sanford, P.C.; Cimmarron, E. [Englewood, CO, B. Skokan, Office of Project Management Oversight, EM-53, United States Department of Energy, Washington, DC (United States)
2008-07-01T23:59:59.000Z
The Rocky Flats 771 Project progressed from the planning stage of decommissioning a plutonium facility, through the strip-out of highly-contaminated equipment, removal of utilities and structural decontamination, and building demolition. Actual cost data was collected from the strip-out activities and compared to original estimates, allowing the development of cost by equipment groupings and types and over time. Separate data was developed from the project control earned value reporting and compared with the equipment data. The paper discusses the analysis to develop the detailed factors for the different equipment types, and the items that need to be considered during characterization of a similar facility when preparing an estimate. The factors are presented based on direct labor requirements by equipment type. The paper also includes actual support costs, and examples of fixed or one-time start-up costs. The integration of the estimate and the earned value system used for the 771 Project is also discussed. The paper covers the development of the earned value system as well as its application to a facility to be decommissioned and an existing work breakdown structure. Lessons learned are provided, including integration with scheduling and craft supervision, measurement approaches, and verification of scope completion. In summary: The work of decommissioning the Rocky Flats 771 Project process equipment was completed in 2003. Early in the planning process, we had difficulty in identifying credible data and implementing processes for estimating and controlling this work. As the project progressed, we were able to collect actual data on the costs of removing plutonium contaminated equipment from various areas over the life of this work and associate those costs with individual pieces of equipment. We also were able to develop and test out a system for measuring the earned value of a decommissioning project based on an evolving estimate. These were elements that would have been useful to us in our early planning process, and we would expect that they would find application elsewhere as the DOE weapons complex and some commercial nuclear facilities move towards closure. (authors)
Carvalho, João Luiz
classification methods based solely on electromyographic data. The use of surface electromyographic signals and reduces estimation artifacts. Keywords - Electromyographic signals, proprioceptive sensors, entropy and a special software package. Processing of surface electromyographic (SEMG) signals may be used in actively
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. [Stony Brook Univ., NY (United States); Slosar, Anze [Brookhaven National Lab. (BNL), Upton, NY (United States); McDonald, Patrick [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sehgal, Neelima [Stony Brook Univ., NY (United States)
2015-01-01T23:59:59.000Z
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.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima
2015-01-01T23:59:59.000Z
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
A Flexible Method of Estimating Luminosity Functions
Brandon C. Kelly; Xiaohui Fan; Marianne Vestergaard
2008-05-19T23:59:59.000Z
We describe a Bayesian approach to estimating luminosity functions. We derive the likelihood function and posterior probability distribution for the luminosity function, given the observed data, and we compare the Bayesian approach with maximum-likelihood by simulating sources from a Schechter function. For our simulations confidence intervals derived from bootstrapping the maximum-likelihood estimate can be too narrow, while confidence intervals derived from the Bayesian approach are valid. We develop our statistical approach for a flexible model where the luminosity function is modeled as a mixture of Gaussian functions. Statistical inference is performed using Markov chain Monte Carlo (MCMC) methods, and we describe a Metropolis-Hastings algorithm to perform the MCMC. The MCMC simulates random draws from the probability distribution of the luminosity function parameters, given the data, and we use a simulated data set to show how these random draws may be used to estimate the probability distribution for the luminosity function. In addition, we show how the MCMC output may be used to estimate the probability distribution of any quantities derived from the luminosity function, such as the peak in the space density of quasars. The Bayesian method we develop has the advantage that it is able to place accurate constraints on the luminosity function even beyond the survey detection limits, and that it provides a natural way of estimating the probability distribution of any quantities derived from the luminosity function, including those that rely on information beyond the survey detection limits.
Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands
Szilagyi, Jozsef
Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands J supplies, accurate estimates of evapotranspiration (LE) from arid shrublands of the Southwestern United for estimating regional LE in arid shrubland environments. Our observational evidence supports the idea
Cost estimating projects for large cutter and hopper dredges
Belesimo, Francesco John
2000-01-01T23:59:59.000Z
Estimating the cost of a dredging project is the most important part of a project's life cycle. A precise account of the costs associated with performing dredging work begins with the production estimate and ends with the cost estimate...
Fourier Analytic Approach to Phase Estimation
Hiroshi Imai; Masahito Hayashi
2008-10-31T23:59:59.000Z
For a unified analysis on the phase estimation, we focus on the limiting distribution. It is shown that the limiting distribution can be given by the absolute square of the Fourier transform of $L^2$ function whose support belongs to $[-1,1]$. Using this relation, we study the relation between the variance of the limiting distribution and its tail probability. As our result, we prove that the protocol minimizing the asymptotic variance does not minimize the tail probability. Depending on the width of interval, we derive the estimation protocol minimizing the tail probability out of a given interval. Such an optimal protocol is given by a prolate spheroidal wave function which often appears in wavelet or time-limited Fourier analysis. Also, the minimum confidence interval is derived with the framework of interval estimation that assures a given confidence coefficient.
Estimating exposure of terrestrial wildlife to contaminants
Sample, B.E.; Suter, G.W. II
1994-09-01T23:59:59.000Z
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.
Quantum limits to estimation of photon deformation
Giovanni De Cillis; Matteo G. A. Paris
2014-07-08T23:59:59.000Z
We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.
Optimal error estimates for corrected trapezoidal rules
Talvila, Erik
2012-01-01T23:59:59.000Z
Corrected trapezoidal rules are proved for $\\int_a^b f(x)\\,dx$ under the assumption that $f"\\in L^p([a,b])$ for some $1\\leq p\\leq\\infty$. Such quadrature rules involve the trapezoidal rule modified by the addition of a term $k[f'(a)-f'(b)]$. The coefficient $k$ in the quadrature formula is found that minimizes the error estimates. It is shown that when $f'$ is merely assumed to be continuous then the optimal rule is the trapezoidal rule itself. In this case error estimates are in terms of the Alexiewicz norm. This includes the case when $f"$ is integrable in the Henstock--Kurzweil sense or as a distribution. All error estimates are shown to be sharp for the given assumptions on $f"$. It is shown how to make these formulas exact for all cubic polynomials $f$. Composite formulas are computed for uniform partitions.
Robust estimation procedure in panel data model
Shariff, Nurul Sima Mohamad [Faculty of Science of Technology, Universiti Sains Islam Malaysia (USIM), 71800, Nilai, Negeri Sembilan (Malaysia); Hamzah, Nor Aishah [Institute of Mathematical Sciences, Universiti Malaya, 50630, Kuala Lumpur (Malaysia)
2014-06-19T23:59:59.000Z
The panel data modeling has received a great attention in econometric research recently. This is due to the availability of data sources and the interest to study cross sections of individuals observed over time. However, the problems may arise in modeling the panel in the presence of cross sectional dependence and outliers. Even though there are few methods that take into consideration the presence of cross sectional dependence in the panel, the methods may provide inconsistent parameter estimates and inferences when outliers occur in the panel. As such, an alternative method that is robust to outliers and cross sectional dependence is introduced in this paper. The properties and construction of the confidence interval for the parameter estimates are also considered in this paper. The robustness of the procedure is investigated and comparisons are made to the existing method via simulation studies. Our results have shown that robust approach is able to produce an accurate and reliable parameter estimates under the condition considered.
State energy data report 1996: Consumption estimates
NONE
1999-02-01T23:59:59.000Z
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.
Estimation of precipitable water from surface observations
Kahan, Archie Marion
1959-01-01T23:59:59.000Z
for estimating the precipitable water at Lake Charles, Louisiana. P red ic tors employed were surface vapor p re s ? sure, ceiling, cloud cover , cloud type, wind, pressure change and iv season. E rrors of estimate averaged approximately one tenth o f... of the photocells and the intense radiation of the noon sun leads one to accept the reality of a ce ll temperature greater than the ambient air temperature. The ce lls are, in effect, miniature green ? houses, The epoxy resin cylinder encasing the crysta l...
CONTAMINATED SOIL VOLUME ESTIMATE TRACKING METHODOLOGY
Durham, L.A.; Johnson, R.L.; Rieman, C.; Kenna, T.; Pilon, R.
2003-02-27T23:59:59.000Z
The U.S. Army Corps of Engineers (USACE) is conducting a cleanup of radiologically contaminated properties under the Formerly Utilized Sites Remedial Action Program (FUSRAP). The largest cost element for most of the FUSRAP sites is the transportation and disposal of contaminated soil. Project managers and engineers need an estimate of the volume of contaminated soil to determine project costs and schedule. Once excavation activities begin and additional remedial action data are collected, the actual quantity of contaminated soil often deviates from the original estimate, resulting in cost and schedule impacts to the project. The project costs and schedule need to be frequently updated by tracking the actual quantities of excavated soil and contaminated soil remaining during the life of a remedial action project. A soil volume estimate tracking methodology was developed to provide a mechanism for project managers and engineers to create better project controls of costs and schedule. For the FUSRAP Linde site, an estimate of the initial volume of in situ soil above the specified cleanup guidelines was calculated on the basis of discrete soil sample data and other relevant data using indicator geostatistical techniques combined with Bayesian analysis. During the remedial action, updated volume estimates of remaining in situ soils requiring excavation were calculated on a periodic basis. In addition to taking into account the volume of soil that had been excavated, the updated volume estimates incorporated both new gamma walkover surveys and discrete sample data collected as part of the remedial action. A civil survey company provided periodic estimates of actual in situ excavated soil volumes. By using the results from the civil survey of actual in situ volumes excavated and the updated estimate of the remaining volume of contaminated soil requiring excavation, the USACE Buffalo District was able to forecast and update project costs and schedule. The soil volume tracking methodology helped the USACE Buffalo District track soil quantity changes from projected excavation work over time and across space, providing the basis for an explanation of some of the project cost and schedule variances.
Estimating vehicle height using homographic projections
Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter
2013-07-16T23:59:59.000Z
Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.
Background Suppression Effects on Signal Estimation
Burr, Tom [Los Alamos National Laboratory
2008-01-01T23:59:59.000Z
Gamma detectors at border crossings are intended to detect illicit nuclear material. One performance challenge involves the fact that vehicles suppress the natural background, thus potentially reducing detection probability for threat items. Methods to adjust for background suppression have been considered in related but different settings. Here, methods to adjust for background suppression are tested in the context of signal estimation. Adjustment methods include several clustering options. We find that for the small-to-moderate suppression magnitudes exhibited in the analyzed data, suppression adjustment is only moderatel helpful in locating the signal peak, and in estimating its width or magnitude.
A robustness application for linear estimation
Kitzman, Kenneth Victor
1990-01-01T23:59:59.000Z
the maximization of a, term which reflects the ' contributions of both estimator robustness and performance. Recall from Chapter II that we denote this term as J = q P. + (1 ? q) %. , where q can vary, according to the estimator application, between zero... error formula, we recall from Chapter II tlrat the maximum of this performance value is achieved at the point E[XY] E[Xz] Recall that our example nominal densities are Jz+y, if0?*1, 0&y&1; ), 0, otherwise, f ()z+z, if0&z&1; I 0, otherwise. 23 I...
Recent experiences with error estimation and adaptivity
Haque, Khalid Ansar
1991-01-01T23:59:59.000Z
RECENT EXPERIENCES WITH ERROR ESTIMATION AND ADAPTIVITY A Thesis by K HA LID ANSA R I I A & )UE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE December 1991 Major Subject: Aerospace Engineering RECENT EXPERIENCES WITH ERROR ESTIMATION AND ADAPTIVITY A Thesis by KHALID ANSAR HAQUE Approved as to style and content by: W b4 f. ou Lou (i s T. Strouboulis (Chair of Committee) W. E...
Estimating the greenhouse gas benefits of forestry projects: A Costa Rican Case Study
Busch, Christopher; Sathaye, Jayant; Sanchez Azofeifa, G. Arturo
2000-09-01T23:59:59.000Z
If the Clean Development Mechanism proposed under the Kyoto Protocol is to serve as an effective means for combating global climate change, it will depend upon reliable estimates of greenhouse gas benefits. This paper sketches the theoretical basis for estimating the greenhouse gas benefits of forestry projects and suggests lessons learned based on a case study of Costa Rica's Protected Areas Project, which is a 500,000 hectare effort to reduce deforestation and enhance reforestation. The Protected Areas Project in many senses advances the state of the art for Clean Development Mechanism-type forestry projects, as does the third-party verification work of SGS International Certification Services on the project. Nonetheless, sensitivity analysis shows that carbon benefit estimates for the project vary widely based on the imputed deforestation rate in the baseline scenario, e.g. the deforestation rate expected if the project were not implemented. This, along with a newly available national dataset that confirms other research showing a slower rate of deforestation in Costa Rica, suggests that the use of the 1979--1992 forest cover data originally as the basis for estimating carbon savings should be reconsidered. When the newly available data is substituted, carbon savings amount to 8.9 Mt (million tones) of carbon, down from the original estimate of 15.7 Mt. The primary general conclusion is that project developers should give more attention to the forecasting land use and land cover change scenarios underlying estimates of greenhouse gas benefits.
Parameter and state estimation in nonlinear dynamical systems
Creveling, Daniel R.
2008-01-01T23:59:59.000Z
and J. Kurths. Nonlinear dynamical system identi?ca- tionEstimation In Nonlinear Dynamical Systems A dissertationState Estimation In Nonlinear Dynamical Systems by Daniel R.
Summary and Presentations from "Estimating the Benefits and Costs...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Summary and Presentations from "Estimating the Benefits and Costs of Distributed Energy Technologies" Workshop Now Available Summary and Presentations from "Estimating the Benefits...
Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...
Estimating Appliance and Home Electronic Energy Use | Department...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
how much electricity your appliances and home electronics use: The Energy Guide Label, which shows the estimated yearly operating cost and estimated yearly electricity use...
Methodology for Estimating Reductions of GHG Emissions from Mosaic...
Estimating Reductions of GHG Emissions from Mosaic Deforestation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Methodology for Estimating Reductions of GHG Emissions...
An Analytical Approach for Tail-Pipe Emissions Estimation with...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine and Aftertreatment System An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled...
Estimating the Benefits and Costs of Distributed Energy Technologies...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop -...
Estimating the Impact (Energy, Emissions and Economics) of the...
Office of Scientific and Technical Information (OSTI)
Technical Report: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry Citation Details In-Document Search Title: Estimating the Impact (Energy,...
Energy savings estimates and cost benefit calculations for high...
Office of Scientific and Technical Information (OSTI)
Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost...
Estimation and Control of Diesel Engine Processes Utilizing Variable...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve Actuation Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve...
Estimating Costs and Efficiency of Storage, Demand, and Heat...
Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's...
Lucas, Matthew Allen
2009-05-15T23:59:59.000Z
.............................................................. 31 Results: ROW Estimation State of Practice ................................... 31 Critical Issues ....................................................................... 32 Overview of Current Practice... ............................................... 35 Analysis: Critical Review of Practices ........................................... 41 General ROW Cost Estimation Procedure ........................... 42 ROW Cost Estimation...
October 2005 Gasification-Based Fuels and Electricity Production from
October 2005 Gasification-Based Fuels and Electricity Production from Biomass, without......................................................................... 9 3.1.1 Biomass Gasification, and production cost estimates for gasification-based thermochemical conversion of switchgrass into Fischer
Estimating Fuel Cycle Externalities: Analytical Methods and Issues, Report 2
Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.
1994-07-01T23:59:59.000Z
The activities that produce electric power typically range from extracting and transporting a fuel, to its conversion into electric power, and finally to the disposition of residual by-products. This chain of activities is called a fuel cycle. A fuel cycle has emissions and other effects that result in unintended consequences. When these consequences affect third parties (i.e., those other than the producers and consumers of the fuel-cycle activity) in a way that is not reflected in the price of electricity, they are termed ''hidden'' social costs or externalities. They are the economic value of environmental, health and any other impacts, that the price of electricity does not reflect. How do you estimate the externalities of fuel cycles? Our previous report describes a methodological framework for doing so--called the damage function approach. This approach consists of five steps: (1) characterize the most important fuel cycle activities and their discharges, where importance is based on the expected magnitude of their externalities, (2) estimate the changes in pollutant concentrations or other effects of those activities, by modeling the dispersion and transformation of each pollutant, (3) calculate the impacts on ecosystems, human health, and any other resources of value (such as man-made structures), (4) translate the estimates of impacts into economic terms to estimate damages and benefits, and (5) assess the extent to which these damages and benefits are externalities, not reflected in the price of electricity. Each step requires a different set of equations, models and analysis. Analysts generally believe this to be the best approach for estimating externalities, but it has hardly been used! The reason is that it requires considerable analysis and calculation, and to this point in time, the necessary equations and models have not been assembled. Equally important, the process of identifying and estimating externalities leads to a number of complex issues that also have not been fully addressed. This document contains two types of papers that seek to fill part of this void. Some of the papers describe analytical methods that can be applied to one of the five steps of the damage function approach. The other papers discuss some of the complex issues that arise in trying to estimate externalities. This report, the second in a series of eight reports, is part of a joint study by the U.S. Department of Energy (DOE) and the Commission of the European Communities (EC)* on the externalities of fuel cycles. Most of the papers in this report were originally written as working papers during the initial phases of this study. The papers provide descriptions of the (non-radiological) atmospheric dispersion modeling that the study uses; reviews much of the relevant literature on ecological and health effects, and on the economic valuation of those impacts; contains several papers on some of the more complex and contentious issues in estimating externalities; and describes a method for depicting the quality of scientific information that a study uses. The analytical methods and issues that this report discusses generally pertain to more than one of the fuel cycles, though not necessarily to all of them. The report is divided into six parts, each one focusing on a different subject area.
Terwilliger, T. C.; Adams, P. D.; Read, R. J.; McCoy, A. J.; Moriarty, Nigel W.; Grosse-Kunstleve, R. W.; Afonine, P. V.; Zwart, P. H.; Hung, L.-W.
2009-03-01T23:59:59.000Z
Estimates of the quality of experimental maps are important in many stages of structure determination of macromolecules. Map quality is defined here as the correlation between a map and the map calculated based on a final refined model. Here we examine 10 different measures of experimental map quality using a set of 1359 maps calculated by reanalysis of 246 solved MAD, SAD, and MIR datasets. A simple Bayesian approach to estimation of map quality from one or more measures is presented. We find that a Bayesian estimator based on the skew of histograms of electron density is the most accurate of the 10 individual Bayesian estimators of map quality examined, with a correlation between estimated and actual map quality of 0.90. A combination of the skew of electron density with the local correlation of rms density gives a further improvement in estimating map quality, with an overall correlation coefficient of 0.92. The PHENIX AutoSol Wizard carries out automated structure solution based on any combination of SAD, MAD, SIR, or MIR datasets. The Wizard is based on tools from the PHENIX package and uses the Bayesian estimates of map quality described here to choose the highest-quality solutions after experimental phasing.
Ijaz, Umer Zeeshan; Khambampati, Anil Kumar [Department of Electronic Engineering, Cheju National University, Cheju 690-756 (Korea, Republic of); Lee, Jeong Seong; Kim, Sin [Department of Nuclear and Energy Engineering, Cheju National University, Cheju 690-756 (Korea, Republic of); Kim, Kyung Youn [Department of Electronic Engineering, Cheju National University, Cheju 690-756 (Korea, Republic of)], E-mail: kyungyk@cheju.ac.kr
2008-07-20T23:59:59.000Z
In this paper, an effective nonstationary phase boundary estimation scheme in electrical impedance tomography is presented based on the unscented Kalman filter. The inverse problem is treated as a stochastic nonlinear state estimation problem with the nonstationary phase boundary (state) being estimated online with the aid of unscented Kalman filter. This research targets the industrial applications, such as imaging of stirrer vessel for detection of air distribution or detecting large air bubbles in pipelines. Within the domains, there exist 'voids' having zero conductivity. The design variables for phase boundary estimation are truncated Fourier coefficients. Computer simulations and experimental results are provided to evaluate the performance of unscented Kalman filter in comparison with extended Kalman filter to show a better performance of the unscented Kalman filter approach.
The generation of shared cryptographic keys through channel impulse response estimation at 60 GHz.
Young, Derek P.; Forman, Michael A.; Dowdle, Donald Ryan
2010-09-01T23:59:59.000Z
Methods to generate private keys based on wireless channel characteristics have been proposed as an alternative to standard key-management schemes. In this work, we discuss past work in the field and offer a generalized scheme for the generation of private keys using uncorrelated channels in multiple domains. Proposed cognitive enhancements measure channel characteristics, to dynamically change transmission and reception parameters as well as estimate private key randomness and expiration times. Finally, results are presented on the implementation of a system for the generation of private keys for cryptographic communications using channel impulse-response estimation at 60 GHz. The testbed is composed of commercial millimeter-wave VubIQ transceivers, laboratory equipment, and software implemented in MATLAB. Novel cognitive enhancements are demonstrated, using channel estimation to dynamically change system parameters and estimate cryptographic key strength. We show for a complex channel that secret key generation can be accomplished on the order of 100 kb/s.
Model-based tomographic reconstruction
Chambers, David H.; Lehman, Sean K.; Goodman, Dennis M.
2012-06-26T23:59:59.000Z
A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.
Model-based Enhancement of Lighting Conditions in Image Sequences
Girod, Bernd
Model-based Enhancement of Lighting Conditions in Image Sequences Peter Eisert and Bernd Girod model-based technique for estimating and manipulating the lighting in an image sequence. The current scene lighting is estimated for each frame exploiting 3-D model information and by synthetic re-lighting
Estimating density of Florida Key deer
Roberts, Clay Walton
2006-08-16T23:59:59.000Z
for this species since 1968; however, a need to evaluate the precision of existing and alternative survey methods (i.e., road counts, mark-recapture, infrared-triggered cameras [ITC]) was desired by USFWS. I evaluated density estimates from unbaited ITCs and road...
Temperature Dependent Wire Delay Estimation in Floorplanning
Nannarelli, Alberto
Temperature Dependent Wire Delay Estimation in Floorplanning Andreas Thor Winther, Wei Liu, Alberto, Arizona State University, Tempe, USA Abstract--Due to large variations in temperature in VLSI cir- cuits and the linear relationship between metal resistance and temperature, the delay through wires of the same length
Estimating the Burden of Neurocysticercosis in Mexico
Bhattarai, Rachana
2012-10-19T23:59:59.000Z
-demographic characteristics of NCC patients, to compare quality of life of individuals diagnosed with NCC with an age and sex matched control population and to estimate the non-monetary burden of NCC in Mexico. In order to accomplish these objectives, a case series of NCC...
BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL
Berger, Jim
BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL DUE TO TECHNOLOGY IMPROVEMENTS by Richard W. Andrews comments. 4 #12; 1. INTRODUCTION 1.1 Background and Overview In 1975 the Energy Policy and Conservation Act average fuel economy (CAFE) standard. This legislation separates each manufacturer's production
Research Summary Estimating Woodfuel Resource Cost Curves
and extraction methods. Background Just under half of the final energy consumed in the UK (49%) is in the formResearch Summary Estimating Woodfuel Resource Cost Curves As a renewable energy source, woodfuel. The woodfuel strategy adopted by Forestry Commission England supports delivery of these. It aims to sustainably
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING
Paris-Sud XI, Université de
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jørgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jørgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns
REACTOR SAFETY KEYWORDS: best estimate plus
Hoppe, Fred M.
REACTOR SAFETY KEYWORDS: best estimate plus uncertainty analysis, epistemic error and aleatory phe- nomena that underlie the safety analyses. The use of BE codes within the reactor technology in advance and that result from a variety of operating conditions or states. These arise because the reactor
PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS
., under contract with the National Science Foundation. Funding for the program is provided by the following agencies: Department of Energy, Mines and Resources (Canada) Deutsche ForschungsgemeinschaftPRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS Ocean Drilling Program Texas A&M University
PMU Deployment for Optimal State Estimation Performance
Roy, Sumit
the observability of candidate deployments at each step and improves the convergence speed of the search. In [5PMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit electronic devices (IED), that sense the grid state variables so as to support enhanced, real-time monitoring
Estimating Vehicle Miles Traveled on Local Roads
Qian, Jiayu
2013-11-07T23:59:59.000Z
This research presents a new method to estimate the local road vehicle miles traveled (VMT) with the concept of betweenness centrality. Betweenness centrality is a measure of a node’s or link’s centrality on a network that has been applied popularly...
Estimating the uncertainty in underresolved nonlinear dynamics
Chorin, Alelxandre; Hald, Ole
2013-06-12T23:59:59.000Z
The Mori-Zwanzig formalism of statistical mechanics is used to estimate the uncertainty caused by underresolution in the solution of a nonlinear dynamical system. A general approach is outlined and applied to a simple example. The noise term that describes the uncertainty turns out to be neither Markovian nor Gaussian. It is argued that this is the general situation.
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 the location and subsequent remediation of contaminants in groundwater to the optimization of production on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used
SWOT Satellite Mission: Combined State Parameter Estimation
Washington at Seattle, University of
-parameter estimation problem Data assimilation experiments Water depth Discharge Channel width Roughness coefficient #12;3 Need for a surface water mission Importance to hydrology gauge measurements insufficient hydraulics Amazon Siberia Ohio #12;4 Global gauge measurements #12;5 SWOT Technology These surface water
Essays on Estimation of Inflation Equation
Kim, Woong
2009-05-15T23:59:59.000Z
. . . . . . . . . . . . 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...
Adaptive Background Estimation using Intensity Independent Features
Lunds Universitet
Adaptive Background Estimation using Intensity Independent Features HÃ¥kan ArdÃ¶, Rikard Berthilsson to rapid changes in lighting conditions. Furthermore, the features can be computed very efficiently using reliable way, also in outdoor scenes where the lighting conditions is changing rapidly due to passing
ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS
by assumptions related to economic growth, changes in electricity and natural gas rates, and a host of inputs Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION's demand forecast. #12;2 utility level.4 AAEE electricity savings were estimated for the Pacific Gas
IFE Target Fabrication, Delivery, and Cost Estimates
Foam Shell Generation Seal Coat Formation CO2 Drying High-Z Sputter CoatingDT Filling DT LayeringIFE Target Fabrication, Delivery, and Cost Estimates N. B. Alexander, L. Brown, D. Callahan, P degrees... SOMBRERO 3-D model for neutronics analysisLaser Fusion HIF - HYLIFE-II ZFE #12;An initial cost
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
Estimating Bounds for Quadratic Assignment Problems Associated ...
2010-09-17T23:59:59.000Z
?Department of Mathematics and Statistics, Arizona State University, Tempe, AZ 85287-. 1804 ... Department of Industrial and Enterprise System Engineering , ... Malah used the projection method [13] to estimate lower and upper bounds for ...... DIMACS 25 Series in Discrete Mathematics and Theoretical Computer Sci-.
Edgar Gabriel Estimation of MPI Application
Subhlok, Jaspal
Edgar Gabriel Estimation of MPI Application Performance on Volunteer Environments Girish Nandagudi, Jaspal Subhlok, Edgar Gabriel Department of Computer Science, University of Houston jaspal, egabriel@uh.edu Judit Gimenez Barcelona Supercomputing Center judit@bsc.es #12;Edgar Gabriel Overview · The Volpex
A Dynamic Programming Approach to Estimate the Capacity Value of Energy Storage
Broader source: Energy.gov [DOE]
We present a method to estimate the capacity value of storage. Our method uses a dynamic program to model the effect of power system outages on the operation and state of charge of storage in subsequent periods. We combine the optimized dispatch from the dynamic program with estimated system loss of load probabilities to compute a probability distribution for the state of charge of storage in each period. This probability distribution can be used as a forced outage rate for storage in standard reliability-based capacity value estimation methods. Our proposed method has the advantage over existing approximations that it explicitly captures the effect of system shortage events on the state of charge of storage in subsequent periods. We also use a numerical case study, based on five utility systems in the U.S., to demonstrate our technique and compare it to existing approximation methods.
Probability Grid: A Location Estimation Scheme for Wireless Sensor Networks
Stankovic, John A.
estimation, grid topology, probability. I. INTRODUCTION Recent advances in micro-electro-mechanical systems
Short communication Real-time estimation of lead-acid battery parameters: A dynamic
Ray, Asok
Short communication Real-time estimation of lead-acid battery parameters: A dynamic data of State of charge (SOC) and State of health (SOH) in lead-acid batteries. Algorithm development based Lead-acid battery Symbolic dynamic filtering k-NN regression a b s t r a c t This short paper presents
Stochastic inversion of seismic PP and PS data for reservoir parameter estimation
Chen, Jinsong
Stochastic inversion of seismic PP and PS data for reservoir parameter estimation Jinsong Chen1-based Bayesian method developed previously for inverting seismic PP data only, by including PS responses and time et al., 2013) and res- ervoir characterization (Brettwood et al., 2013). In this study, we use
IEEE SIGNAL PROCESSING LETTERS, VOL. 4, NO. 7, JULY 1997 195 Parameter Estimation in the Presence
Sayed, Ali
of bounded data uncertainties. The new method is suitable when a priori bounds on the uncertain data in estimation is to recover, to good accuracy, a set of unobservable parameters from corrupted data. Several of having had the most applications, are criteria that are based on quadratic cost functions. The most
A Novel Approach for the Rapid Estimation of Drainage Volume, Pressure and Well Rates
Gupta, Neha 1986-
2012-11-12T23:59:59.000Z
applied, based on the analytical solutions of the diffusivity equation. In this thesis, we have proposed a novel methodology for estimating the drainage volumes and utilizing it to obtain the pressure and flux at any location in the reservoir. The result...
Ungar, Lyle H.
to obtaining prediction lim its for ANN's: a frequentist approach, based on stan dard nonlinear regression of the prediction intervals, their computational costs and practical implementa tion issues of the two approaches of as doing nonlinear regression. Standard methods ex ist for estimating the prediction uncertainties of non
Using cuticular wax alkanes to estimate herbage intake in animals fed supplements
Boyer, Edmond
) were offered diets of lucerne chaff : oat grain in the ratios 593 : 107, 488 : 214 and 378 : 322 g DM Res, 43, 1711-1724). Intakes of lucerne chaff were then calculated from the concentrations of adjacent and the diet components. Three estimates of lucerne intake were thus possible, based on the alkane pairs C28/C
Using convolutional decoding to improve time delay and phase estimation in digital communications
Ormesher, Richard C. (Albuquerque, NM); Mason, John J. (Albuquerque, NM)
2010-01-26T23:59:59.000Z
The time delay and/or phase of a communication signal received by a digital communication receiver can be estimated based on a convolutional decoding operation that the communication receiver performs on the received communication signal. If the original transmitted communication signal has been spread according to a spreading operation, a corresponding despreading operation can be integrated into the convolutional decoding operation.
Statistical Estimation of Two-Body Hydrodynamic Properties Using System Identification
Xie, Chen
2010-01-14T23:59:59.000Z
cross-coupling terms were chosen to be kept based on the estimation of their energy. It is shown that both the heading and the loading condition can influence system motion behavior and that the impact of the wave in the gap between the two vessels...
AMUEM 2005 -International Workshop on Advanced Methods for Uncertainty Estimation in Measurement
Payeur, Pierre
, the estimation of the uncertainty level becomes a critical issue as it must become an active part of the model smooth progressive refinement in the construction of occupancy grids based on cumulative uncertain range measurements. The context of the application considered is that of collision-free path planning for mobile
AUGC2009 XX/XX, pages 1 X Estimation de la qualit des donnes
Paris-Sud XI, Université de
grilles de qualité. ABSTRACT. The control of failure risks of dams is of major importance in our society on the dam performance knowledge as regards their main failure modes and the reliability of this knowledge. Here, the estimation of the result reliability of the dam performance assessment model, based
A new approach for estimating entrainment rate in cumulus clouds Chunsong Lu,1,2
A new approach for estimating entrainment rate in cumulus clouds Chunsong Lu,1,2 Yangang Liu,2 entrainment rate in cumulus clouds. The new approach is directly derived from the definition of fractional entrainment rate and relates it to mixing fraction and the height above cloud base. The results derived from
Earthq Sci (2010)23: 417-424 417 Seismic interferometry and estimation of the
Nowack, Robert L.
2010-01-01T23:59:59.000Z
of Green's func- tion based on the cross-correlation of signals at two re- ceivers using seismic energy the dominant contributions of the seismic energy come from in the evaluation of Green's function. 2 ReciprocityEarthq Sci (2010)23: 417-424 417 Seismic interferometry and estimation of the Green's function
Reply to Quaas et al.: Can satellites be used to estimate indirect climate forcing by aerosols?
Penner, J. E.; Zhou, Cheng; Xu, Li; Wang, Minghuai
2011-11-15T23:59:59.000Z
We welcome the comments by Quaas et al. (1). In our paper (2), we used a model to show that the methods used to estimate indirect aerosol forcing using satellite data, especially those based on relating the slope of present-day (PD) drop number (Nc) to aerosol optical depth (AOD), underestimate the forcing calculated when both PD and preindustrial (PI) data are available.
The estimation of fuel cell operating time for predictive maintenance R. Onanena a,b,c
Paris-Sud XI, Université de
1 The estimation of fuel cell operating time for predictive maintenance strategies R. Onanena a of the limiting factors for the spreading of the fuel cell technology is the durability and researches to extend fuel cell operating time based on electrochemical impedance spectroscopy measurements. It consists
Use of SF6 to estimate anthropogenic CO2 in the upper ocean Toste Tanhua,1
Waugh, Darryn W.
Use of SF6 to estimate anthropogenic CO2 in the upper ocean Toste Tanhua,1 Darryn W. Waugh,2s. Here we apply SF6, a tracer that continues to increase in the atmosphere, as a basis for the Cant water mass transit time distributions (TTDs) calculated with SF6 are compared to those based on CFC-12
Distributed state estimation and model predictive control of linear interconnected system
Boyer, Edmond
requirements, modern control systems are becoming more and more complex. For these processes, different controlDistributed state estimation and model predictive control of linear interconnected system: In this paper, a distributed and networked control system architecture based on independent Model Predictive
Estimation of Radiation Protection Shielding for a EURISOL Linear Proton Accelerator
Thomas Otto, CERN
A linear accelerator for protons, based on superconducting radiofrequency technology, is envisaged as a driver accelerator for the isotope production targets in a future EURISOL facility. This note reports basic estimates of the required radiation protection shielding of such an accelerator.
Envelope: estimation of bottleneck and available bandwidth over multiple congested links
Bhati, Amit
2006-04-12T23:59:59.000Z
estimate bottleneck and available bandwidth over an end-to-end path with multiple heavily congested links. Envelope is based on a recursive extension of the stochastic queuing model ?rst proposed by Kang, Liu, Dai and Loguinov (2004), and a modi...
ERROR ESTIMATES FOR A TIME DISCRETIZATION METHOD FOR THE RICHARDS' EQUATION
Eindhoven, Technische Universiteit
. The continuity condition t() + · (q) = 0 combined with Darcy law (1.1) leads to Richards' equation (1.2) tERROR ESTIMATES FOR A TIME DISCRETIZATION METHOD FOR THE RICHARDS' EQUATION IULIU SORIN POP' equation. Written in its saturation-based form, this nonlinear para- bolic equation models water flow
Estimation of neutral lipid and carbohydrate quotas in microalgae using adaptive interval observers
Paris-Sud XI, Université de
Estimation of neutral lipid and carbohydrate quotas in microalgae using adaptive interval observers stress conditions, microalgae are known to accumulate large amounts of neutral lipids and carbohydrates- bohydrate quotas in microalgae. The observer is based on a change of coordinates that involves a time
Short communication Real-time estimation of lead-acid battery parameters: A dynamic
Ray, Asok
Short communication Real-time estimation of lead-acid battery parameters: A dynamic data-driven approach Yue Li, Zheng Shen, Asok Ray* , Christopher D. Rahn Department of Mechanical and Nuclear of State of charge (SOC) and State of health (SOH) in lead-acid batteries. Algorithm development based
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.
2015-04-29T23:59:59.000Z
Atmospheric inversions are frequently used to estimate fluxes of atmospheric greenhouse gases (e.g., biospheric CO2 flux fields) at Earth's surface. These inversions typically assume that flux departures from a prior model are spatially smoothly varying, which are then modeled using a multi-variate Gaussian. When the field being estimated is spatially rough, multi-variate Gaussian models are difficult to construct and a wavelet-based field model may be more suitable. Unfortunately, such models are very high dimensional and are most conveniently used when the estimation method can simultaneously perform data-driven model simplification (removal of model parameters that cannot be reliably estimated) and fitting.more »Such sparse reconstruction methods are typically not used in atmospheric inversions. In this work, we devise a sparse reconstruction method, and illustrate it in an idealized atmospheric inversion problem for the estimation of fossil fuel CO2 (ffCO2) emissions in the lower 48 states of the USA. Our new method is based on stagewise orthogonal matching pursuit (StOMP), a method used to reconstruct compressively sensed images. Our adaptations bestow three properties to the sparse reconstruction procedure which are useful in atmospheric inversions. We have modified StOMP to incorporate prior information on the emission field being estimated and to enforce non-negativity on the estimated field. Finally, though based on wavelets, our method allows for the estimation of fields in non-rectangular geometries, e.g., emission fields inside geographical and political boundaries. Our idealized inversions use a recently developed multi-resolution (i.e., wavelet-based) random field model developed for ffCO2 emissions and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also reduces the overall computational cost by a factor of 2. Further, the sparse reconstruction scheme imposes non-negativity without introducing strong nonlinearities, such as those introduced by employing log-transformed fields, and thus reaps the benefits of simplicity and computational speed that are characteristic of linear inverse problems.« less
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01T23:59:59.000Z
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...
Ball, J.R.
1986-04-01T23:59:59.000Z
This document is a supplement to a ''Handbook for Cost Estimating'' (NUREG/CR-3971) and provides specific guidance for developing ''quick'' approximate estimates of the cost of implementing generic regulatory requirements for nuclear power plants. A method is presented for relating the known construction costs for new nuclear power plants (as contained in the Energy Economic Data Base) to the cost of performing similar work, on a back-fit basis, at existing plants. Cost factors are presented to account for variations in such important cost areas as construction labor productivity, engineering and quality assurance, replacement energy, reworking of existing features, and regional variations in the cost of materials and labor. Other cost categories addressed in this handbook include those for changes in plant operating personnel and plant documents, licensee costs, NRC costs, and costs for other government agencies. Data sheets, worksheets, and appropriate cost algorithms are included to guide the user through preparation of rough estimates. A sample estimate is prepared using the method and the estimating tools provided.
A multivariate phase distribution and its estimation
Charles F. Cadieu; Kilian Koepsell
2009-06-21T23:59:59.000Z
Circular variables such as phase or orientation have received considerable attention throughout the scientific and engineering communities and have recently been quite prominent in the field of neuroscience. While many analytic techniques have used phase as an effective representation, there has been little work on techniques that capture the joint statistics of multiple phase variables. In this paper we introduce a distribution that captures empirically observed pair-wise phase relationships. Importantly, we have developed a computationally efficient and accurate technique for estimating the parameters of this distribution from data. We show that the algorithm performs well in high-dimensions (d=100), and in cases with limited data (as few as 100 samples per dimension). We also demonstrate how this technique can be applied to electrocorticography (ECoG) recordings to investigate the coupling of brain areas during different behavioral states. This distribution and estimation technique can be broadly applied to any setting that produces multiple circular variables.
Aerosol Best Estimate Value-Added Product
Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C
2012-07-19T23:59:59.000Z
The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.
Interruption Cost Estimate Calculator | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP aCentrothermDepew,Independent EnergyInternational Maritime LawInterruption Cost Estimate Calculator
State energy data report 1992: Consumption estimates
Not Available
1994-05-01T23:59:59.000Z
This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.
Estimating Energy Savings in Compressed Air Systems
Schmidt, C.; Kissock, J. K.
2004-01-01T23:59:59.000Z
are frequently overestimated because the methods used to estimate savings neglect to consider important factors such as compressor control and type, storage, and multiple compressor operation. In this paper, a methodology is presented for modeling air... compressor performance and calculating projected energy savings from easily obtainable performance data such as full-load power, no-load power, rated capacity, average fraction full-load power or average fraction rated capacity. The methodology...
Thresholded Lasso for high dimensional variable selection and statistical estimation
Zhou, Shuheng
2010-01-01T23:59:59.000Z
Given $n$ noisy samples with $p$ dimensions, where $n \\ll p$, we show that the multi-step thresholding procedure based on the Lasso -- we call it the {\\it Thresholded Lasso}, can accurately estimate a sparse vector $\\beta \\in \\R^p$ in a linear model $Y = X \\beta + \\epsilon$, where $X$ is an $n \\times p$ design matrix, and $\\epsilon \\sim N(0, \\sigma^2 I_n)$. We show that under the restricted eigenvalue (RE) condition (Bickel-Ritov-Tsybakov 09), it is possible to achieve the $\\ell_2$ loss within a logarithmic factor of the ideal mean square error one would achieve with an {\\em oracle} while selecting a sufficiently sparse model -- hence achieving {\\it sparse oracle inequalities}; the oracle would supply perfect information about which coordinates are non-zero and which are above the noise level. In some sense, the Thresholded Lasso recovers the choices that would have been made by the $\\ell_0$ penalized least squares estimators, in that it selects a sufficiently sparse model without sacrificing the accuracy in ...
Cost estimate for a proposed GDF Suez LNG testing program
Blanchat, Thomas K. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Brady, Patrick Dennis [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Jernigan, Dann A. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Luketa, Anay Josephine [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Nissen, Mark R. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Lopez, Carlos [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Vermillion, Nancy [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Hightower, Marion Michael [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
2014-02-01T23:59:59.000Z
At the request of GDF Suez, a Rough Order of Magnitude (ROM) cost estimate was prepared for the design, construction, testing, and data analysis for an experimental series of large-scale (Liquefied Natural Gas) LNG spills on land and water that would result in the largest pool fires and vapor dispersion events ever conducted. Due to the expected cost of this large, multi-year program, the authors utilized Sandia's structured cost estimating methodology. This methodology insures that the efforts identified can be performed for the cost proposed at a plus or minus 30 percent confidence. The scale of the LNG spill, fire, and vapor dispersion tests proposed by GDF could produce hazard distances and testing safety issues that need to be fully explored. Based on our evaluations, Sandia can utilize much of our existing fire testing infrastructure for the large fire tests and some small dispersion tests (with some modifications) in Albuquerque, but we propose to develop a new dispersion testing site at our remote test area in Nevada because of the large hazard distances. While this might impact some testing logistics, the safety aspects warrant this approach. In addition, we have included a proposal to study cryogenic liquid spills on water and subsequent vaporization in the presence of waves. Sandia is working with DOE on applications that provide infrastructure pertinent to wave production. We present an approach to conduct repeatable wave/spill interaction testing that could utilize such infrastructure.
The TRANSIMS Approach to Emission Estimation
Barth, M.J.; Smith, L.; Thayer, G.R.; Williams, M.D.
1999-02-01T23:59:59.000Z
Transportation systems play a significant role in urban air quality, energy consumption and carbon-dioxide emissions. Recently, it has been found that current systems for estimating emissions of pollutants from transportation devices lead to significant inaccuracies. Most of the existing emission modules use very aggregate representations of traveler behavior and attempt to estimate emissions on typical driving cycles. However, recent data suggests that typical driving cycles produce relatively low emissions with most emissions coming from off-cycle driving, cold-starts, malfunctioning vehicles, and evaporative emissions. TRANSIMS is a simulation system for the analysis of transportation options in metropolitan areas. It's major functional components are: (1) a population disaggregation module, (2) a travel planning module, (3) a regional microsimulation module, and (4) an environmental module. In addition to the major functional components, it includes a strong underpining of simulation science and an analyst's tool box. The purpose of the environmental module is to translate traveler behavior into consequent air quality. The environmental module uses information from the TRANSIMS planner and the microsimulation and it supports the analyst's toolbox. The TRANSIMS system holds the promise of a more complete description of the role of heterogeneity in transportation in emission estimation.
Markov models and the ensemble Kalman filter for estimation of sorption rates.
Vugrin, Eric D.; McKenna, Sean Andrew (Sandia National Laboratories, Albuquerque, NM); Vugrin, Kay White
2007-09-01T23:59:59.000Z
Non-equilibrium sorption of contaminants in ground water systems is examined from the perspective of sorption rate estimation. A previously developed Markov transition probability model for solute transport is used in conjunction with a new conditional probability-based model of the sorption and desorption rates based on breakthrough curve data. Two models for prediction of spatially varying sorption and desorption rates along a one-dimensional streamline are developed. These models are a Markov model that utilizes conditional probabilities to determine the rates and an ensemble Kalman filter (EnKF) applied to the conditional probability method. Both approaches rely on a previously developed Markov-model of mass transfer, and both models assimilate the observed concentration data into the rate estimation at each observation time. Initial values of the rates are perturbed from the true values to form ensembles of rates and the ability of both estimation approaches to recover the true rates is examined over three different sets of perturbations. The models accurately estimate the rates when the mean of the perturbations are zero, the unbiased case. For the cases containing some bias, addition of the ensemble Kalman filter is shown to improve accuracy of the rate estimation by as much as an order of magnitude.
An iterative stochastic ensemble method for parameter estimation of subsurface flow models
Elsheikh, Ahmed H., E-mail: aelsheikh@ices.utexas.edu [Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX (United States); Dept. of Earth Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia); Dept. of Applied Mathematics and Computational Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia); Wheeler, Mary F. [Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX (United States)] [Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX (United States); Hoteit, Ibrahim [Dept. of Earth Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia) [Dept. of Earth Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia); Dept. of Applied Mathematics and Computational Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia)
2013-06-01T23:59:59.000Z
Parameter estimation for subsurface flow models is an essential step for maximizing the value of numerical simulations for future prediction and the development of effective control strategies. We propose the iterative stochastic ensemble method (ISEM) as a general method for parameter estimation based on stochastic estimation of gradients using an ensemble of directional derivatives. ISEM eliminates the need for adjoint coding and deals with the numerical simulator as a blackbox. The proposed method employs directional derivatives within a Gauss–Newton iteration. The update equation in ISEM resembles the update step in ensemble Kalman filter, however the inverse of the output covariance matrix in ISEM is regularized using standard truncated singular value decomposition or Tikhonov regularization. We also investigate the performance of a set of shrinkage based covariance estimators within ISEM. The proposed method is successfully applied on several nonlinear parameter estimation problems for subsurface flow models. The efficiency of the proposed algorithm is demonstrated by the small size of utilized ensembles and in terms of error convergence rates.
BBOOLLLLEETTTTIINNOO NNOOVVIITT NNUUMMEERROO 232 AAPPRRIILLEE--MMAAGGGGIIOO--GGIIUUGGNNOO 22000077
Romeo, Alessandro
della concorrenza - Energia - UE/CE Direttive 3 #12;M. E. CARTIER (sous la direction de), Le mandat d
Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik (Applied Biomathematics, Setauket, New York); Oberkampf, William Louis (Applied Biomathematics, Setauket, New York); Ginzburg, Lev (Applied Biomathematics, Setauket, New York); Ferson, Scott (Applied Biomathematics, Setauket, New York); Hajagos, Janos (Applied Biomathematics, Setauket, New York)
2007-05-01T23:59:59.000Z
This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.
2014-08-20T23:59:59.000Z
We present a sparse reconstruction scheme that can also be used to ensure non-negativity when fitting wavelet-based random field models to limited observations in non-rectangular geometries. The method is relevant when multiresolution fields are estimated using linear inverse problems. Examples include the estimation of emission fields for many anthropogenic pollutants using atmospheric inversion or hydraulic conductivity in aquifers from flow measurements. The scheme is based on three new developments. Firstly, we extend an existing sparse reconstruction method, Stagewise Orthogonal Matching Pursuit (StOMP), to incorporate prior information on the target field. Secondly, we develop an iterative method that uses StOMP tomore »impose non-negativity on the estimated field. Finally, we devise a method, based on compressive sensing, to limit the estimated field within an irregularly shaped domain. We demonstrate the method on the estimation of fossil-fuel CO2 (ffCO2) emissions in the lower 48 states of the US. The application uses a recently developed multiresolution random field model and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also reduces the overall computational cost by a factor of two. Further, the sparse reconstruction scheme imposes non-negativity without introducing strong nonlinearities, such as those introduced by employing log-transformed fields, and thus reaps the benefits of simplicity and computational speed that are characteristic of linear inverse problems.« less