Property:EstimatedCostMedianUSD | Open Energy Information
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Oil Shale Market is Estimated to Reach USD 7,400.70 Million by...
Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor 1 July, 2015...
Oil Spill Management Market is Estimated to Reach USD 114,441...
Oil Spill Management Market is Estimated to Reach USD 114,441.1 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor...
Property:EstimatedCostHighUSD | Open Energy Information
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Property:EstimatedTimeMedian | Open Energy Information
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USD 422 Greensburg K-12 School
Office of Energy Efficiency and Renewable Energy (EERE)
This poster highlights energy efficiency, renewable energy, and sustainable features of the high-performing USD 422 K-12 school in Greensburg, Kansas.
Floating Production Systems Market Is Expected To Reach USD 38...
Production Systems Market Is Expected To Reach USD 38,752.7 Million Globally By 2019 Home > Groups > Future of Condition Monitoring for Wind Turbines Wayne31jan's picture...
Property:EstimatedCostLowUSD | 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 QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigation Jump to:
Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg K-12 School (Brochure)
Not Available
2010-04-01
This brochure details the energy efficient and sustainable aspects of the USD 422 K-12 school in Greensburg, Kansas.
Rebuilding It Better: Greensburg, Kansas, USD 422 Greensburg K-12 School (Revised) (Brochure)
Not Available
2011-04-01
This brochure details the energy efficient and sustainable aspects of the USD 422 K-12 school in Greensburg, Kansas.
USD 307 Ell-Saline Wind Project | 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 QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin Film SolarTown(LECBP)BioGen LLC JumpForestry ConflictUSD 307
USD 345 Seaman High School Wind Project | Open Energy Information
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USD 373 Walton Rural Life Wind Project | 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 QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin Film SolarTown(LECBP)BioGen LLC JumpForestry ConflictUSD 307453
USD 375 Circle High School Wind Project | Open Energy Information
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USD 376 Sterling High School Wind Project | Open Energy Information
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USD 384 Blue Valley Wind Project | Open Energy Information
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USD 393 Solomon High School Wind Project | Open Energy Information
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USD Catalysis Group for Alternative Energy - Final report
Hoefelmeyer, James
2014-10-03
I. Project Summary Catalytic processes are a major technological underpinning of modern society, and are essential to the energy sector in the processing of chemical fuels from natural resources, fine chemicals synthesis, and energy conversion. Advances in catalyst technology are enormously valuable since these lead to reduced chemical waste, reduced energy loss, and reduced costs. New energy technologies, which are critical to future economic growth, are also heavily reliant on catalysts, including fuel cells and photo-electrochemical cells. Currently, the state of South Dakota is underdeveloped in terms of research infrastructure related to catalysis. If South Dakota intends to participate in significant economic growth opportunities that result from advances in catalyst technology, then this area of research needs to be made a high priority for investment. To this end, a focused research effort is proposed in which investigators from The University of South Dakota (USD) and The South Dakota School of Mines and Technology (SDSMT) will contribute to form the South Dakota Catalysis Group (SDCG). The multidisciplinary team of the (SDCG) include: (USD) Dan Engebretson, James Hoefelmeyer, Ranjit Koodali, and Grigoriy Sereda; (SDSMT) Phil Scott Ahrenkiel, Hao Fong, Jan Puszynski, Rajesh Shende, and Jacek Swiatkiewicz. The group is well suited to engage in a collaborative project due to the resources available within the existing programs. Activities within the SDCG will be monitored through an external committee consisting of three distinguished professors in chemistry. The committee will provide expert advice and recommendations to the SDCG. Advisory meetings in which committee members interact with South Dakota investigators will be accompanied by individual oral and poster presentations in a materials and catalysis symposium. The symposium will attract prominent scientists, and will enhance the visibility of research in the state of South Dakota. The SDCG requests funding through the Department of Energy (DoE) to establish this multidisciplinary research cluster in the area of catalysis. This long-term approach includes synthesis, characterization, catalyst evaluation, modeling, and scale-up. The project includes plans to acquire instrumentation critical to enabling competitive research. These acquisitions will complement existing resources in the state. The effect of implementation of the proposed efforts will be to significantly enhance state infrastructure in personnel and equipment, and lead to a nationally and internationally recognized research center.
Office of Energy Efficiency and Renewable Energy (EERE)
This brochure details the energy efficient and sustainable aspects of the USD 422 K-12 school in Greensburg, Kansas.
Global Fuel Cells Market to Value USD910.3 million by 2018 |...
Global Fuel Cells Market to Value USD910.3 million by 2018 Home > Groups > Renewable Energy RFPs John55364's picture Submitted by John55364(100) Contributor 15 May, 2015 - 02:14...
Artificial Lift Systems Market is expected to reach USD 19,806...
Artificial Lift Systems Market is expected to reach USD 19,806.8 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor...
Annual salary: 90,000 USD Deadline (midnight, Paris time): December 31, 2014
Annual salary: 90,000 USD Deadline (midnight, Paris time): December 31, 2014 Apply: https, lectures courses). BENEFITS AND ENTITLEMENTS UNESCO's salaries are calculated in US dollars. They consist of a basic salary and a post adjustment which reflects the cost of living in a pa
Integer-Sided Triangles with integral medians
Konstantine Zelator
2013-08-15
In this work, we prove that any triangle whose three sidelengths are integers, cannot have all of its three medians also having integral lengths.This is done in Proposition 2.In Section 5, we give precise(i.e.necessary and sufficient)conditions for a nonisosceles, integer-sided triangle to have two integral medians.In Section 3, we offer parametric descriptions of three special families of integer-sided triangles.The first family consists of all Pythagorean triangles whose medians to their hypotenuses is integral. The other two medians (to the two legs)of any Pythagorean triangle are irrational, a proof of this fact can be found in reference 4 of this paper.The second family consists of all integer-sided isosceles triangles, whose only integral median is the one contained between the two sides of equal length. Finally, the third family consists of all isosceles integer-sided triangles with the two medians of equal length;having integer length.
Median regression and the missing information principle Ian W. McKeague
McKeague, Ian
Median regression and the missing information principle Ian W. McKeague Department of Statistics regression analysis has robustness properties which make it an attractive alternative to regression based of the median regression model, leading to a new estimator for the regression parameters. Our approach adapts
Theoretical advances on multichromosomal median computation
Chauve, Cedric
consider the classical problem of com- puting an optimal median for three multichromosomal genomes G1, G2, G3. More precisely, we consider the case where G1, G2, G3 are mixed genomes as they can have (possibly) both linear and circular chromosomes; pairs G, G of genomes on n genes are compared using
Reactive Stochastic Local Search Algorithms for the Genomic Median Problem
Wolf, Christian
Reactive Stochastic Local Search Algorithms for the Genomic Median Problem Renaud Lenne1 5558, Universit´e de Lyon 1, France eric.tannier@inria.fr Abstract. The genomic median problem of the common ancestor to multiple living species. It is formulated as the search for a genome that minimizes
Introduction The median problem for the reversal distance in
Lonardi, Stefano
genomes E. Ohlebusch, M.I. Abouelhoda, K. Hockel, J. Stallkamp University of Ulm, Germany CPM 2005 The median problem for the reversal distance in circular bacterial genomes #12;Introduction Methods Conclusion General Problem Distances Specific Problem Median Problem Given 3 genomes G1, G2, and G3, find
Placement of Traffic Barriers on Roadside and Median Slopes
Ferdous, Md Rubiat
2011-08-08
terrains are investigated using numerical simulations. A procedure is developed that provide guidance for their placement on roadside and median slopes. The research approach consists of nonlinear finite element analyses and multi-rigid-body dynamic...
NMDOT Application for Permit to Construct an Access or Median...
NMDOT Application for Permit to Construct an Access or Median Opening on Public Right of Way Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document-...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentat LENA| ReactionSite Map SiteUS ITER Jobs
Chepoi, Victor
. This demonstrates that the median algebras featured by Avann and Sholander half a century ago and, more generally
Local Stability of the Median LMS Filter W.A. Sethares // J.A. Bucklew
Bucklew, James Antonio
Local Stability of the Median LMS Filter W.A. Sethares // J.A. Bucklew November 17, 2000 1 #12; Abstract Local stability properties of the recently proposed median LMS adaptive filter are investigated. This will help delineate those applications for which the median LMS is an appropriate adaptive al gorithm
Salt-and-Pepper Noise Removal by Median-type Noise Detectors and
Chan, Raymond
1 Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving Regularization for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify remove salt-and-pepper-noise with noise level as high as 90%. Index Terms Impulse noise, adaptive median
ON THE p-MEDIAN POLYTOPE OF A SPECIAL CLASS OF ...
p-median and the uncapacitated facility location polytopes, the odd cycle ... description of the fractional extreme points of the linear relaxation for the p-
An Efficient Probabilistic Population-Based Descent for the Median Genome Problem
Goëffon, Adrien
An Efficient Probabilistic Population-Based Descent for the Median Genome Problem Adrien Goëffon@labri.fr ABSTRACT We present a novel population-based local search algorithm for the median genome problem of ancestral genome reconstruc- tion compared to existing methods, making it possible to tackle problems where
Best, Matthew Evans
1996-01-01
Many freeways in the United States contain median high occupancy vehicle (HOV) facilities. These facilities have been envisioned by some as reserved space for future rail guideway transit. This thesis examines the cost-effectiveness of converting a...
Development of guidelines for the aesthetic surface treatment of safety-shaped median barriers
Ness, Jacob Raymond
2004-11-15
treatment of safety-shaped median barriers. Numerical simulation was utilized to develop these guidelines. This was done by first validating the vehicle model that was used in this research, which was the National Crash Analysis Center (NCAC) 2000P...
Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008
Broader source: Energy.gov [DOE]
The median age of cars and trucks in the U.S. continued to grow in 2008. Due to the economic climate and high gasoline prices that summer, consumers held onto their vehicles longer and delayed new...
European Conference on Objectoriented Programming (ECOOP) h5index: 28 h5median: 45
Xie, Tao
European Conference on Objectoriented Programming (ECOOP) h5index: 28 h5median: 45 #17 Software Saftoiu, S Krishnamurthi Proceedings of the 24th European conference on Objectoriented programming ... 109 Vafeiadis Proceedings of the 24th European conference on Objectoriented programming ... 92 2010 JCo
Effects of muscle fiber type and size on EMG median frequency and conduction velocity
De Luca, Carlo J.
an in vitro method for comparing surface-detected electromyographic median fre- quency (MF) and conduction-sectional area (CSA). Electromyographic sig- nals were recorded during electrically elicited tetanic contrac a muscular contraction are related to muscle fiber type com- position and muscle fiber CSA. electromyographic
EFFICIENT SERIAL AND PARALLEL ALGORITHMS FOR MEDIAN FILTERING + Sanjay Ranka* and Sartaj Sahni
Sahni, Sartaj K.
on an N?N image matrix I [1..N, 1..N ] using a W?W window where W = 2w + 1 is an odd number. The result, w, N) and nbhd (b, j, w, N)} where nbhd (p, q, r, s) = ¡ ¢ £ false otherwise true (p - q) mod s r or (q - p) mod s r A straightforward serial computation of MEDIAN2D takes O (N2 W2 ) time
Investigation of an empirical methodology for linking value of time with census tract median income
Stockton, William Radney
2009-05-15
This research examines a new methodology for prospectively estimating the willingness of travelers to use a toll road by combining travel time saved with the income of the prospective customer base. The purpose of the ...
USD Catalysis Group for Alternative Energy
Hoefelmeyer, James D.; Koodali, Ranjit; Sereda, Grigoriy; Engebretson, Dan; Fong, Hao; Puszynski, Jan; Shende, Rajesh; Ahrenkiel, Phil
2012-03-13
The South Dakota Catalysis Group (SDCG) is a collaborative project with mission to develop advanced catalysts for energy conversion with two primary goals: (1) develop photocatalytic systems in which polyfunctionalized TiO2 are the basis for hydrogen/oxygen synthesis from water and sunlight (solar fuels group), (2) develop new materials for hydrogen utilization in fuel cells (fuel cell group). In tandem, these technologies complete a closed chemical cycle with zero emissions.
South Florida Sun-Sentinel.com Census shows another decline in median income
Fernandez, Eduardo
's official poverty rate was 15 percent, up a percent from a year earlier when the recession officially ended. That means almost 3 million more Americans were living in poverty in 2010, the Census Bureau reported. It was the fourth annual increase and the largest number of poor people in the 52 years the poverty estimates have
Distributed Estimation Distributed Estimation
Gupta, Vijay
with a Star Topology 2 2.1 Static Sensor Fusion . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1.1 Combining Estimators . . . . . . . . . . . . . . . . . . . . 3 2.1.2 Static Sensor Fusion for Star Topology;Distributed Estimation 3 Non-Ideal Networks with Star Topology 10 3.1 Sensor Fusion in Presence of Message
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.
IEEE/ACM International Conference on Automated Software Engineering (ASE) h5-index: 34 h5-median: 50
Xie, Tao
IEEE/ACM International Conference on Automated Software Engineering (ASE) h5-index: 34 h5-median source code on the web S Thummalapenta, T Xie Proceedings of the twenty-second IEEE/ACM international, Z Hu, H Zhao, M Takeichi, H Mei Proceedings of the twenty-second IEEE/ACM international conference
Lauder, George V.
2002-01-01
. But the orientations and magnitudes of these forces, the mechanisms by which they are generated, and how fish modulate reveal that lateral forces are high relative to thrust force, and that mechanical performance of median propulsor may also enhance stability and maneuverability. Analysis of hydrodynamic function of the soft
Heath, G. A.; Burkhardt, J. J.
2011-09-01
In reviewing life cycle assessment (LCA) literature of utility-scale CSP systems, this analysis focuses on clarifying central tendency and reducing variability in estimates of life cycle greenhouse gas (GHG) emissions through a meta-analytical process called harmonization. From 125 references reviewed, 10 produced 36 independent GHG emission estimates passing screens for quality and relevance: 19 for parabolic trough technology and 17 for power tower technology. The interquartile range (IQR) of published GHG emission estimates was 83 and 20 g CO2eq/kWh for trough and tower, respectively, with medians of 26 and 38 g CO2eq/kWh. Two levels of harmonization were applied. Light harmonization reduced variability in published estimates by using consistent values for key parameters pertaining to plant design and performance. Compared to the published estimates, IQR was reduced by 69% and median increased by 76% for troughs. IQR was reduced by 26% for towers, and median was reduced by 34%. A second level of harmonization was applied to five well-documented trough LC GHG emission estimates, harmonizing to consistent values for GHG emissions embodied in materials and from construction activities. As a result, their median was further reduced by 5%, while the range increased by 6%. In sum, harmonization clarified previous results.
Turkey Marine Lubricants Market is Expected to Reach USD 177...
are primarily categorized into seven different applications including engine oils, hydraulic oils, grease, turbine oils, gear oils, compressor oils and heat transfer fluids....
A New Forecasting Model for USD/CNY Exchange Rate
Cai, Zongwu; Chen, Linna; Fang, Ying
2012-09-18
hypothesis and using GARCH type models or their variants, most studies found evidence of nonlinearity in volatilities of exchange rates; see, for example, Bollerslev (1990), Brock, Hsieh and Lebaron (1991), Engle, Ito and Lin (1990), West and Cho (1995.... Alternatively, one might consider other smoothing variables used in the literature, such as the moving average technique trading rule (MATTR) Ut,MATTR = Yt?1 ?L j=1 Yt?j/L ? 1 for certain L (say, L = 21), as in Brock, Lakonishock and Lebaron (1992) and Hong...
USD 440 Halstead Schools Wind Project | 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 QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin Film SolarTown(LECBP)BioGen LLC JumpForestry
Computing median and antimedian sets in median graphs Kannan Balakrishnan
Klavzar, Sandi
, Slovenia bostjan.bresar@uni-mb.si Manoj Changat Department of Futures Studies University of Kerala. Subhamathi Department of Futures Studies University of Kerala, Trivandrum-695034, India ajithars
Computing median and antimedian sets in median graphs # Kannan Balakrishnan
Klavzar, Sandi
, Slovenia bostjan.bresar@unimb.si Manoj Changat Department of Futures Studies University of Kerala.kovse@gmail.com Ajitha R. Subhamathi Department of Futures Studies University of Kerala, Trivandrum695034, India
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
This chapter focuses on the components (or elements) of the cost estimation package and their documentation.
Check Estimates and Independent Costs
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
The chapter describes the estimates required on government-managed projects for both general construction and environmental management.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.
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
: Helmholtz machine estimation .
: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2011-05-09
This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.
Estimation of food consumption
Callaway, J.M. Jr.
1992-04-01
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
Thermodynamic estimation: Ionic materials
Glasser, Leslie, E-mail: l.glasser@curtin.edu.au
2013-10-15
Thermodynamics establishes equilibrium relations among thermodynamic parameters (properties) and delineates the effects of variation of the thermodynamic functions (typically temperature and pressure) on those parameters. However, classical thermodynamics does not provide values for the necessary thermodynamic properties, which must be established by extra-thermodynamic means such as experiment, theoretical calculation, or empirical estimation. While many values may be found in the numerous collected tables in the literature, these are necessarily incomplete because either the experimental measurements have not been made or the materials may be hypothetical. The current paper presents a number of simple and relible estimation methods for thermodynamic properties, principally for ionic materials. The results may also be used as a check for obvious errors in published values. The estimation methods described are typically based on addition of properties of individual ions, or sums of properties of neutral ion groups (such as double salts, in the Simple Salt Approximation), or based upon correlations such as with formula unit volumes (Volume-Based Thermodynamics). - Graphical abstract: Thermodynamic properties of ionic materials may be readily estimated by summation of the properties of individual ions, by summation of the properties of double salts, and by correlation with formula volume. Such estimates may fill gaps in the literature, and may also be used as checks of published values. This simplicity arises from exploitation of the fact that repulsive energy terms are of short range and very similar across materials, while coulombic interactions provide a very large component of the attractive energy in ionic systems. Display Omitted - Highlights: Estimation methods for thermodynamic properties of ionic materials are introduced. Methods are based on summation of single ions, multiple salts, and correlations. Heat capacity, entropy, lattice energy, enthalpy, Gibbs energy values are available.
MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
Van Aelst, Stefan
1 MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE Stefan Van Aelst-estimators for multivariate regression. We study the robustness of the estimators in terms of their breakdown point and in and multivariate location and scatter. Furthermore we develop a fast and robust bootstrap method
Unbiased Robust Template Estimation
Reuter, Martin
Unbiased Robust Template Estimation for Longitudinal Analysis in FreeSurfer Compared with cross-sectional may have a profound clinical impact. The current methods that utilize cross-sectional approaches, R. & Maguire, P. & Rosas, D. & Makris, N. & Dale, A. & Dickerson, B. & Fischl, B. (2006
Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev; Ferson, Scott; Hajagos, Janos
2007-05-01
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.
SMOOTHED ESTIMATING EQUATIONS FOR INSTRUMENTAL VARIABLES QUANTILE REGRESSION
Kaplan, David M.; Sun, Yixiao
2012-01-01
Instrumental quantile regression inference for structuralsample inference for quantile regression models. Journal ofmethods for median regression models. Econometrica,
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.
Magnetic nanoparticle temperature estimation
Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.
2009-05-15
The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.
Parameter Estimation Through Ignorance
Hailiang Du; Leonard A. Smith
2012-06-06
Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.
Measurement enhancement for state estimation
Chen, Jian
2009-05-15
to accurately monitor the system operating state. State estimation is an essential tool in an energy management system (EMS). It is responsible for providing an accurate and correct estimate for the system operating state based on the available measurements...
Hydrocarbon Reservoir Parameter Estimation Using
van Vliet, Lucas J.
Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic #12;#12;Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic PROEFSCHRIFT ter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Recovery process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Field
Cost Estimating, Analysis, and Standardization
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1984-11-02
To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992
Turbines Market is Expected to Reach USD 191.87 Billion by 2020...
reaction turbines, the feed material e.g. air in case of wind turbines and rivers or dams in case of hydropower ones, goes 'through' the blades to drive the turbine. Currently,...
Biomass Boiler Market is Projected to Reach USD 8,907.0 Million...
Naval SpA, Hurst Boiler & Welding Co, Inc., Jernforsen Energi System AB, Justsen Energiteknik AS, Kohlbach Group, LAMBION Energy Solutions GmbH, Leroux & Lotz Technologies,...
Coal Bed Methane Market to Value USD 15,318.9 Million by 2018...
generation to observe the fastest growth, at a CAGR of 4.5% during the forecast period. Demand for CBM is also high in the application areas such as commercial, residential and...
Winston, Fred
Exp12 Exp13 Median 14C Note 14C YOL052C-A DDR2 11.7 4.33 17.8 11.48 2.91 2.99 10.34 10.33870994 GOOD
Robust and intelligent bearing estimation
Claassen, John P. (Albuquerque, NM)
2000-01-01
A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.
Examples of Cost Estimation Packages
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
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.
Vortex-Based Aero- and Hydrodynamic Estimation
Hemati, Maziar Sam
2013-01-01
Vortex-Based Aero- and Hydrodynamic Estimation . . . . . .2 Aero- andbenefit from vortex-based aero- and hydrodynamic estimation.
Motion Estimation from Disparity Images
Demirdjian, D.
2001-05-07
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 ...
Estimation of resources and reserves
Massachusetts Institute of Technology. Energy Laboratory.
1982-01-01
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 ...
Estimate product quality with ANNs
Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)
1996-09-01
Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.
Archisman Ghosh; Walter Del Pozzo; Parameswaran Ajith
2015-05-21
We characterize the expected statistical errors with which the parameters of black-hole binaries can be measured from gravitational-wave (GW) observations of their inspiral, merger and ringdown by a network of second-generation ground-based GW observatories. We simulate a population of black-hole binaries with uniform distribution of component masses in the interval $(3,80)~M_\\odot$, distributed uniformly in comoving volume, with isotropic orientations. From signals producing signal-to-noise ratio $\\geq 5$ in at least two detectors, we estimate the posterior distributions of the binary parameters using the Bayesian parameter estimation code LALInference. The GW signals will be redshifted due to the cosmological expansion and we measure only the "redshifted" masses. By assuming a cosmology, it is possible to estimate the gravitational masses by inferring the redshift from the measured posterior of the luminosity distance. We find that the measurement of the gravitational masses will be in general dominated by the error in measuring the luminosity distance. In spite of this, the component masses of more than $50\\%$ of the population can be measured with accuracy better than $\\sim 25\\%$ using the Advanced LIGO-Virgo network. Additionally, the mass of the final black hole can be measured with median accuracy $\\sim 18\\%$. Spin of the final black hole can be measured with median accuracy $\\sim 5\\% ~(17\\%)$ for binaries with non-spinning (aligned-spin) black holes. Additional detectors in Japan and India significantly improve the accuracy of sky localization, and moderately improve the estimation of luminosity distance, and hence, that of all mass parameters. We discuss the implication of these results on the observational evidence of intermediate-mass black holes and the estimation of cosmological parameters using GW observations.
Weldon Spring historical dose estimate
Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.
1986-07-01
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.
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...
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
Strichartz Estimates Counterexample to Strichartz
Smith, Hart F.
for the Wave Equation on Compact Manifolds with Boundary Hart F. Smith Department of Mathematics University of Washington, Seattle Carolina Meeting on Harmonic Analysis and PDE Hart F. Smith Strichartz Estimates g L2(M) For manifolds without boundary: 1 p + n q = n 2 - 2 p + n - 1 q n - 1 2 Hart F. Smith
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
Drought: Monitoring, Estimation and Prediction
Washington at Seattle, University of
.S. disaster before hurricane Katrina) Significant social consequences (e.g. Dust Bowl) Challenges U.S. dataset (1915-present) Need method for objective identification and estimation of drought Capacity model Solves energy and water balance over gridded domain Sub-grid variability in topography
Christopher P. L. Berry; Ilya Mandel; Hannah Middleton; Leo P. Singer; Alex L. Urban; Alberto Vecchio; Salvatore Vitale; Kipp Cannon; Ben Farr; Will M. Farr; Philip B. Graff; Chad Hanna; Carl-Johan Haster; Satya Mohapatra; Chris Pankow; Larry R. Price; Trevor Sidery; John Veitch
2015-05-12
Advanced ground-based gravitational-wave (GW) detectors begin operation imminently. Their intended goal is not only to make the first direct detection of GWs, but also to make inferences about the source systems. Binary neutron-star mergers are among the most promising sources. We investigate the performance of the parameter-estimation \\edit{(PE)} pipeline that will be used during the first observing run of the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) in 2015: we concentrate on the ability to reconstruct the source location on the sky, but also consider the ability to measure masses and the distance. Accurate, rapid sky-localization is necessary to alert electromagnetic (EM) observatories so that they can perform follow-up searches for counterpart transient events. We consider PE accuracy in the presence of \\edit{non-stationary}, non-Gaussian noise. We find that the character of the noise makes negligible difference to the PE performance \\edit{at a given signal-to-noise ratio}. The source luminosity distance can only be poorly constrained, the median $90\\%$ ($50\\%$) credible interval scaled with respect to the true distance is $0.85$ ($0.38$). However, the chirp mass is well measured. Our chirp-mass estimates are subject to systematic error because we used gravitational-waveform templates without component spin to carry out inference on signals with moderate spins, but the total error is typically less than $10^{-3} M_\\odot$. The median $90\\%$ ($50\\%$) credible region for sky localization is $\\sim600~\\mathrm{deg^{2}}$ ($\\sim150~\\mathrm{deg^{2}}$), with $3\\%$ ($30\\%$) of detected events localized within $100~\\mathrm{deg^{2}}$. Early aLIGO, with only two detectors, will have a sky-localization accuracy for binary neutron stars of hundreds of square degrees; this makes EM follow-up challenging, but not impossible.
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
Guidelines for Estimating Unmetered Landscapting Water Use
None
2010-07-30
Guidance to help Federal agencies estimate unmetered landscaping water use as required by Executive Order 13514
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
Nonlinear and distributed sensory estimation
Sugathevan, Suranthiran
2005-08-29
!tdt (2.3) where ! is frequency in rad/sec. Fff(t)g is also known as the spectrum of f(t). De nition 4 Inverse Fourier Transform: The Inverse Fourier Transform (F 1f:g) recovers the function f(t) from its Fourier Transform Fff(t)g. F 1fFff(t)gg = f(t) = 12...=ISO-8859-1 NONLINEAR AND DISTRIBUTED SENSORY ESTIMATION A Dissertation by SURANTHIRAN SUGATHEVAN Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR OF PHILOSOPHY May...
Principal Components Instrumental Variable Estimation
Winkelried, Diego; Smith, Richard J.
2011-01-31
badly if the IV do not admit a factor representation 3 (cf., Kapetanios and Marcellino, 2006). We rely instead on a vague notion of correlation among instruments (assumption A5 or A6 below), as the merits of the PCIVE depend on the instruments displaying... Assumption A4. Hence, Assumption A4 simply places a bound for ??? such that the implied restriction on the 6 explanatory power of the instruments in (3) also holds in matrix norms. 2.1 The Case for a Lower-Dimensional IVE We study the properties of estimators...
Harmonizing Systems and Software Cost Estimation
Wang, Gan
2009-07-19
The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...
Cost Model and Cost Estimating Software
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.
A Fast Algorithm for Nonstationary Delay Estimation
So, Hing-Cheung
to the explicit time delay estimator (ETDE) algorithm 4] but it is more computationally e cient and provides more
PROBABILISTIC METHODS FOR LOCATION ESTIMATION IN
Myllymki, Petri
PROBABILISTIC METHODS FOR LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllym;PROBABILISTIC METHODS FOR LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllymaki, Teemu Roos METHODS FOR LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllymki, Teemu Roos, Henry
New Methodology for Natural Gas Production Estimates
Reports and Publications (EIA)
2010-01-01
A new methodology is implemented with the monthly natural gas production estimates from the EIA-914 survey this month. The estimates, to be released April 29, 2010, include revisions for all of 2009. The fundamental changes in the new process include the timeliness of the historical data used for estimation and the frequency of sample updates, both of which are improved.
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
2007 Estimated International Energy Flows
Smith, C A; Belles, R D; Simon, A J
2011-03-10
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.
Supplemental report on cost estimates'
NONE
1992-04-29
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.
Robustness analysis of linear estimators
Tayade, Rajeshwary
2004-09-30
. 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...
Robust bearing estimation for 3-component stations
CLAASSEN,JOHN P.
2000-02-01
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.
Input estimation from measured structural response
Harvey, Dustin [Los Alamos National Laboratory; Cross, Elizabeth [Los Alamos National Laboratory; Silva, Ramon A [Los Alamos National Laboratory; Farrar, Charles R [Los Alamos National Laboratory; Bement, Matt [Los Alamos National Laboratory
2009-01-01
This report will focus on the estimation of unmeasured dynamic inputs to a structure given a numerical model of the structure and measured response acquired at discrete locations. While the estimation of inputs has not received as much attention historically as state estimation, there are many applications where an improved understanding of the immeasurable input to a structure is vital (e.g. validating temporally varying and spatially-varying load models for large structures such as buildings and ships). In this paper, the introduction contains a brief summary of previous input estimation studies. Next, an adjoint-based optimization method is used to estimate dynamic inputs to two experimental structures. The technique is evaluated in simulation and with experimental data both on a cantilever beam and on a three-story frame structure. The performance and limitations of the adjoint-based input estimation technique are discussed.
Renewable Energy RFPs | OpenEI Community
Energy Concerns to Push Global Market to Grow at 8.1% CAGR from 2013 to 2019 Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 more Group members (32)...
Wind Energy Timeline - From Persian Windmills Crushing Grains...
Energy Concerns to Push Global Market to Grow at 8.1% CAGR from 2013 to 2019 Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 more Group members (32)...
Circulating Fluidized Bed (CFB) Boilers Market will grow due...
Energy Concerns to Push Global Market to Grow at 8.1% CAGR from 2013 to 2019 Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 more Group members (32)...
Lucrative Opportunities in Asia Pacific to Help Global Bunker...
Energy Concerns to Push Global Market to Grow at 8.1% CAGR from 2013 to 2019 Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 more Group members (32)...
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.
2010-01-01
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
GAO Cost Estimating and Assessment Guide | Department of Energy
Office of Environmental Management (EM)
Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft Word...
Population estimates for Phase 1: Hanford Environmental Dose Reconstruction Project
Beck, D.M.; Erickson, A.R.; Harkreader, S.A.
1992-03-01
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.
State energy data report 1994: Consumption estimates
1996-10-01
This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.
Budget estimates. Fiscal year 1998
NONE
1997-02-01
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.
Adjoint Error Estimation for Elastohydrodynamic Lubrication
Jimack, Peter
Adjoint Error Estimation for Elastohydrodynamic Lubrication by Daniel Edward Hart Submitted elastohydro- dynamic lubrication (EHL) problems. A functional is introduced, namely the friction
An Estimator of Propagation of Cascading Failure
Dobson, Ian; Wierzbicki, Kevin; Carreras, Benjamin A; Lynch, Vickie E; Newman, David E
2006-01-01
The authors suggest a statistical estimator to measure the extent to which failures propagate in cascading failures such as large blackouts.
Adjusted Estimates of Texas Natural Gas Production
Reports and Publications (EIA)
2005-01-01
The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO2) production.
Estimating solar irradiance using a geostationary satellite
Urquhart, Bryan Glenn
2011-01-01
Heliosat procedure for irradiance Estimates from Satellitethe pro duction of solar irradiance and daylight illuminancesatellite based solar irradiance modelling - The SOLIS clear
Estimating Mitigation Potential of Agricultural Projects: an...
Tool (EX-ACT) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Brazil-Estimating Mitigation Potential of Agricultural Projects: an Application of the...
How EIA Estimates Natural Gas Production
Reports and Publications (EIA)
2004-01-01
The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing states and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The states and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.
Cost Estimating Handbook for Environmental Restoration
1990-09-01
Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.
Section 5: Expected Value; Percentiles, Median, and Mode
2014-09-27
Sep 30, 2014 ... Smith finds the carnival game over-under-seven irresistible. The game involves the random toss of two fair dice. If a player bets 1 on over...
The Online Median Problem Ramgopal R. Mettu C. Greg Plaxton
Mettu, Ramgopal
@cs.utexas.edu. The second author is presently on leave at Akamai Techologies, Inc., Cambridge, MA 02139. #12; 1 Introduction
The Online Median Problem Ramgopal R. Mettu C. Greg Plaxton
Mettu, Ramgopal
on leave at Akamai Techologies, Inc., Cambridge, MA 02139. #12;1 Introduction Suppose we wish to open a new
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
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
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
Enhanced State Estimators Final Project Report
Enhanced State Estimators Final Project Report Power Systems Engineering Research Center A National Engineering Research Center Enhanced State Estimators Final Project Report Report Authors Jun Zhu, Ph-373-3051 Fax: 617-373-4431 Email: abur@ece.neu.edu Power Systems Engineering Research Center This is a project
Hybrid Estimation of CMB Polarization Power Spectra
G. Efstathiou
2006-01-05
This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation. The hybrid power spectrum estimator is unbiased and we show that it is close to optimal at all multipoles, provided the pixel noise satisfies certain reasonable constraints. Furthermore, the hybrid estimator is computationally fast and can easily be incorporated in a Monte-Carlo chain for Planck-sized data sets. Simple formulae are given for the covariance matrices, including instrumental noise, and these are tested extensively against numerical simulations. We compare the behaviour of simple pseudo-Cell estimates with maximum likelihood estimates at low multipoles. For realistic sky cuts, maximum likelihood estimates reduce very significantly the mixing of E and B modes. To achieve limits on the scalar-tensor ratio of r<<0.1 from sky maps with realistic sky cuts, maximum likelihood methods, or pseudo-Cell estimators based on unambiguous E and B modes, will be essential.
Martin, Ralph R.
___________________________________________________________________________________________________ Estimating the Fundamental Matrix via Constrained Least-Squares: A Convex Approach Graziano Chesi, AndreaIn this paper, a new method for the estimation of the fundamental matrix from point correspondences is presented on the fundamental matrix. It is shown how this nonconvex optimization problem can be solved avoiding local minima
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
Estimated Costs of Pasture and Hay Production
Duffy, Michael D.
Estimated Costs of Pasture and Hay Production This report summarizes estimated costs of improving pasture by five different systems. For each system, both the initial cost per acre and the annual maintenance cost per acre are presented. In addition, costs of establishing alfalfa or alfalfagrass hay
Estimated Costs of Pasture and Hay Production
Duffy, Michael D.
Estimated Costs of Pasture and Hay Production This report summarizes estimated costs of improving pasture by five different systems. For each system, both the initial cost per acre and the annual maintenance cost per acre are presented. In addition, costs of establishing alfalfa or alfalfa-grass hay
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
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
Cheng, Christine
rise to mirror posets and vice versa, and mirror posets give rise to SR stable matchings and vice versa to as the bipartite version of SR, is the stable marriage problem (SM). There are n men and n women each of whom ranks-0830678. 1 #12;preference list, append an arbitrary ordering of the other men; do the same for the women
Cheng, Christine
rise to mirror posets and vice versa, and mirror posets give rise to SR stable matchings and vice versa problem (SM). There are n men and n women each of whom ranks participants from the opposite sex only the same for the women. It is straightforward to check that both instances have exactly the same stable
Estimating the bias of a noisy coin
Christopher Ferrie; Robin Blume-Kohout
2012-01-06
Optimal estimation of a coin's bias using noisy data is surprisingly different from the same problem with noiseless data. We study this problem using entropy risk to quantify estimators' accuracy. We generalize the "add Beta" estimators that work well for noiseless coins, and we find that these hedged maximum-likelihood (HML) estimators achieve a worst-case risk of O(N^{-1/2}) on noisy coins, in contrast to O(1/N) in the noiseless case. We demonstrate that this increased risk is unavoidable and intrinsic to noisy coins, by constructing minimax estimators (numerically). However, minimax estimators introduce extreme bias in return for slight improvements in the worst-case risk. So we introduce a pointwise lower bound on the minimum achievable risk as an alternative to the minimax criterion, and use this bound to show that HML estimators are pretty good. We conclude with a survey of scientific applications of the noisy coin model in social science, physical science, and quantum information science.
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
CLOUD MICROPHYSICAL PROPERTIES, PROCESSES, AND RAINFALL ESTIMATION OPPORTUNITIES
Daniel, Rosenfeld
, and a formulation of the RDSD into the simplest free parameters of the rain intensity R, rain water content W intensity R, rain water content W and median volume drop diameter D0. This is accomplished through-R relationships is explored from the combined approach of rain-forming physical processes that shape the RDSD
A priori estimates for relativistic liquid bodies
Todd A. Oliynyk
2014-12-30
We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.
A priori estimates for relativistic liquid bodies
Oliynyk, Todd A
2015-01-01
We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.
State Energy Data Report, 1991: Consumption estimates
Not Available
1993-05-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2014-10-31
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
1995-07-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.
State energy data report 1995 - consumption estimates
1997-12-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W.
1997-08-01
The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.
Nonlinear parameter estimation in parallel computing environments
Li, Jie
1996-01-01
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...
March 12, 2015 Parametric estimation in
Di Girolami, Cristina
Tahar Department of Mathematics University of Abou Bekr Belkaid Tlemcen, Algeria #12;Consider Estimator of is known We observe a trajectory (Xt, t [0, T]) of (1) Consider the statistic : for t > 0
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01
This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...
Preliminary CBECS End-Use Estimates
U.S. Energy Information Administration (EIA) Indexed Site
For the past three CBECS (1989, 1992, and 1995), we used a statistically-adjusted engineering (SAE) methodology to estimate end-use consumption. The core of the SAE methodology...
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...
Perceptually inspired image estimation and enhancement
Li, Yuanzhen, Ph. D. Massachusetts Institute of Technology
2009-01-01
In this thesis, we present three image estimation and enhancement algorithms inspired by human vision. In the first part of the thesis, we propose an algorithm for mapping one image to another based on the statistics of a ...
Minimizing Biases in Radar Precipitation Estimates
McRoberts, Douglas B
2014-12-08
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 ...
ORIGINAL CONTRIBUTION Implementing Diagnostic Criteria and Estimating
ORIGINAL CONTRIBUTION Implementing Diagnostic Criteria and Estimating Frequency of Mild Cognitive criteria. Objectives: To operationalize diagnostic criteria for MCI and examine the frequency of MCI in ethnically and lin- guistically diverse elders (individuals older than 65 years). Design: Prospective
Speed estimation using single loop detector outputs
Ye, Zhirui
2009-05-15
that speed estimation is a nonlinear system under various traffic conditions. Thus, a methodology of using Unscented Kalman Filter (UKF) is first proposed for such a system. The UKF is a parametric filtering technique that is suitable for nonlinear problems...
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.
Broader source: Energy.gov [DOE]
This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.
Fracture compliance estimation using borehole tube waves
Bakku, Sudhish Kumar
We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...
U.S. Uranium Reserves Estimates
Gasoline and Diesel Fuel Update (EIA)
Methodology The U.S. uranium ore reserves reported by EIA for specific MFC categories represent the sums of quantities estimated to occur in known deposits on properties where data...
Lensed CMB simulation and parameter estimation
Antony Lewis
2010-11-16
Modelling of the weak lensing of the CMB will be crucial to obtain correct cosmological parameter constraints from forthcoming precision CMB anisotropy observations. The lensing affects the power spectrum as well as inducing non-Gaussianities. We discuss the simulation of full sky CMB maps in the weak lensing approximation and describe a fast numerical code. The series expansion in the deflection angle cannot be used to simulate accurate CMB maps, so a pixel remapping must be used. For parameter estimation accounting for the change in the power spectrum but assuming Gaussianity is sufficient to obtain accurate results up to Planck sensitivity using current tools. A fuller analysis may be required to obtain accurate error estimates and for more sensitive observations. We demonstrate a simple full sky simulation and subsequent parameter estimation at Planck-like sensitivity. The lensed CMB simulation and parameter estimation codes are publicly available.
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
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 ...
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 ...
Budget estimates, fiscal year 1997. Volume 12
NONE
1996-03-01
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.
Sub-Second Parallel State Estimation
Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu
2014-10-31
This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than todays 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 estimators 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.
Chapter 3: FY 2005 benefits estimates
None, None
2009-01-18
The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employedNEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.
Estimates of US biomass energy consumption 1992
Not Available
1994-05-06
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.
Chapter 3: FY 2006 benefits estimates
None, None
2009-01-18
The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employedNEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.
Estimating diesel engine performance by indirect methods
McKiernan, Michael
1987-01-01
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...
Estimating present climate in a warming world: a model-based approach
Raeisaenen, J.; Ruokolainen, L. [University of Helsinki (Finland). Division of Atmospheric Sciences and Geophysics
2008-09-30
Weather services base their operational definitions of 'present' climate on past observations, using a 30-year normal period such as 1961-1990 or 1971-2000. In a world with ongoing global warming, however, past data give a biased estimate of the actual present-day climate. Here we propose to correct this bias with a 'delta change' method, in which model-simulated climate changes and observed global mean temperature changes are used to extrapolate past observations forward in time, to make them representative of present or future climate conditions. In a hindcast test for the years 1991-2002, the method works well for temperature, with a clear improvement in verification statistics compared to the case in which the hindcast is formed directly from the observations for 1961-1990. However, no improvement is found for precipitation, for which the signal-to-noise ratio between expected anthropogenic changes and interannual variability is much lower than for temperature. An application of the method to the present (around the year 2007) climate suggests that, as a geographical average over land areas excluding Antarctica, 8-9 months per year and 8-9 years per decade can be expected to be warmer than the median for 1971-2000. Along with the overall warming, a substantial increase in the frequency of warm extremes at the expense of cold extremes of monthly-to-annual temperature is expected.
Estimated recharge rates at the Hanford Site
Fayer, M.J.; Walters, T.B.
1995-02-01
The Ground-Water Surveillance Project monitors the distribution of contaminants in ground water at the Hanford Site for the U.S. Department of Energy. A subtask called {open_quotes}Water Budget at Hanford{close_quotes} was initiated in FY 1994. The objective of this subtask was to produce a defensible map of estimated recharge rates across the Hanford Site. Methods that have been used to estimate recharge rates at the Hanford Site include measurements (of drainage, water contents, and tracers) and computer modeling. For the simulations of 12 soil-vegetation combinations, the annual rates varied from 0.05 mm/yr for the Ephrata sandy loam with bunchgrass to 85.2 mm/yr for the same soil without vegetation. Water content data from the Grass Site in the 300 Area indicated that annual rates varied from 3.0 to 143.5 mm/yr during an 8-year period. The annual volume of estimated recharge was calculated to be 8.47 {times} 10{sup 9} L for the potential future Hanford Site (i.e., the portion of the current Site bounded by Highway 240 and the Columbia River). This total volume is similar to earlier estimates of natural recharge and is 2 to 10x higher than estimates of runoff and ground-water flow from higher elevations. Not only is the volume of natural recharge significant in comparison to other ground-water inputs, the distribution of estimated recharge is highly skewed to the disturbed sandy soils (i.e., the 200 Areas, where most contaminants originate). The lack of good estimates of the means and variances of the supporting data (i.e., the soil map, the vegetation/land use map, the model parameters) translates into large uncertainties in the recharge estimates. When combined, the significant quantity of estimated recharge, its high sensitivity to disturbance, and the unquantified uncertainty of the data and model parameters suggest that the defensibility of the recharge estimates should be improved.
Building unbiased estimators from non-Gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Sehgal, Neelima; McDonald, Patrick; Slosar, Ane E-mail: pvmcdonald@lbl.gov E-mail: anze@bnl.gov
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong's estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g|=0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrongs estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze
2015-01-15
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmoreof 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 Armstrongs 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
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
Fourier Analytic Approach to Phase Estimation
Hiroshi Imai; Masahito Hayashi
2008-10-31
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.
Optimal error estimates for corrected trapezoidal rules
Talvila, Erik
2012-01-01
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.
Estimating exposure of terrestrial wildlife to contaminants
Sample, B.E.; Suter, G.W. II
1994-09-01
This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.
State energy data report 1996: Consumption estimates
1999-02-01
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.
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
2013-07-16
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.
Scalable Ensemble Learning and Computationally Efficient Variance Estimation
LeDell, Erin
2015-01-01
Metalearning 5 Computationally Efficient Variance Estimation12] Peter J. Bickel et al. Efficient and adaptive estimationJ. Wainwright. Communication-Efficient Algorithms for
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...
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.
2010-01-01
to apply outage cost estimates to a smart grid investmentapply these outage cost estimates to a smart grid investmentoutage costs with and without a smart grid investment
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...
Methodology for Estimating Reductions of GHG Emissions from Mosaic...
Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Methodology for Estimating Reductions of...
Report Now Available: DC Microgrids Scoping Study--Estimate of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Report Now Available: DC Microgrids Scoping Study--Estimate of Technical and Economic Benefits (March 2015) Report Now Available: DC Microgrids Scoping Study--Estimate of Technical...
Parameter and state estimation in nonlinear dynamical systems
Creveling, Daniel R.
2008-01-01
and J. Kurths. Nonlinear dynamical system identi?ca- tionEstimation In Nonlinear Dynamical Systems A dissertationState Estimation In Nonlinear Dynamical Systems by Daniel R.
Radiological Source Term Estimates for the February 14, 2014...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event This document was...
Statistical Surrogate Models for Estimating Probability of High...
Office of Scientific and Technical Information (OSTI)
Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating...
Estimating the Benefits and Costs of Distributed Energy Technologies...
Broader source: Energy.gov (indexed) [DOE]
- Carl Imhoff, PNNL More Documents & Publications Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations Estimating the...
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...
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 Costs and Efficiency of Storage, Demand, and Heat...
Office of Environmental Management (EM)
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...
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...
Estimating Costs and Efficiency of Storage, Demand, and Heat...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters March 10, 2015 -...
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...
Multi-rate Estimation of Coloured Noise Models in Graph-Based Estimation Algorithms
Nelson, James
Multi-rate Estimation of Coloured Noise Models in Graph-Based Estimation Algorithms Simon J. Julier. In this paper, we consider how coloured noise models can be efficiently incorporated within graph position, three velocity, three orientation). The GPS noise model introduces an extra six states (second
Empowering Developers to Estimate App Energy Consumption
Shihada, Basem
are not even aware of the amount of energy their app consumes un- der a typical usage pattern. While they couldEmpowering Developers to Estimate App Energy Consumption Radhika Mittal , Aman Kansal , Ranveer on mobile devices. However, it is difficult for app developers to mea- sure the energy used by their apps
Guidelines for Estimating Unmetered Landscaping Water Use
McMordie Stoughton, Kate
2010-07-28
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.
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
Distributed Sensing and Estimation Under Communication Constraints
Mostofi, Yasamin
. Murray University of New Mexico California Institute of Technology Abstract-- In this paper we consider the impact of imperfect communication links on distributed sensing and estimation in mobile networks. First a wide range of applications such as environmental monitoring, surveillance and security, smart homes
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
PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS
PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS Ocean Drilling Program Texas A&M University portion requires the written consent of the Director, Ocean Drilling Program, Texas A&M University, College Station, Texas 77843-3469, as well as appropriate acknowledgment of this source. Technical Note 1
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
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
PMU Deployment for Optimal State Estimation Performance
Roy, Sumit
PMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective minimal-PMU sets that achieve full observability, affording an additional degree of freedom to select
Adaptive Background Estimation using Intensity Independent Features
Lunds Universitet
Adaptive Background Estimation using Intensity Independent Features Håkan Ardö, 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
Estimating the uncertainty in underresolved nonlinear dynamics
Chorin, Alelxandre; Hald, Ole
2013-06-12
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.
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING
Paris-Sud XI, Universit de
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jrgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jrgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING
Ewing, Richard E.
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used parameters in petroleum and groundwater models. It is not intended to be exhaustive, but rather to give
IMPROVED DENSITY ESTIMATORS FOR INVERTIBLE LINEAR PROCESSES
Wefelmeyer, Wolfgang
IMPROVED DENSITY ESTIMATORS FOR INVERTIBLE LINEAR PROCESSES Anton Schick Department of Mathematical-statistic with kernel of the form K(x) = k(x - ay)k(y) dy. Schick and Wefelmeyer (2004b, 2007a) prove functional central and Schick (2007) obtain similar results for derivatives of convolutions. Schick and Wefelmeyer (2008b
Frequency Offset Estimator with Low Computational Complexity
Minn, Hlaing
decomposition for the derivative of the cost function. The CFO estimate's variance and Cramer-Rao bound (CRB systems [3][9], but a relatively new one for MIMO or MIMO OFDM systems [10][16]. Numerical calculations operators, respectively. [X]m,n denotes the (m, n)-th entry of a matrix X. [x]m denotes the m-th entry
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
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
Integrated Pedestrian Classification and Orientation Estimation
Gavrila, Dariu M.
Integrated Pedestrian Classification and Orientation Estimation Markus Enzweiler1 Dariu M. Gavrila2, The Netherlands Abstract This paper presents a novel approach to single-frame pedestrian classification) in a Bayesian fashion. This mixture-of-experts formulation approximates the probability density of pedestrian
SPONTANEOUS AND EXPLICIT ESTIMATION OF TIME DELAYS
So, Hing-Cheung
, called the explicit time delay estimator (ETDE), is rst developed to nd the di erential delay of a signal through only one propagation path. Basically, the ETDE is an adaptive FIR lter whose coe cients it can provide direct delay measurements on a sample-by-sample basis. The ETDE performance surface
Schedule Estimation for Web Application Development
Fernando, Lake
2008-05-16
The purpose of the project is to come up with a robust methodology for estimating hours for web application systems development. For the scope of the project, a web application system is an application which is accessed via a web browser...
County Level Wind Erosion Estimation Using National
, Fuller (1987), Rao (2003). 11 #12;Model searching for Wind Erosion In NRI, wind erosion WEQCounty Level Wind Erosion Estimation Using National Resources Inventory Survey Taps Maiti. Approx. 3 points/PSU; 800,000 points in 1997 NRI 4 #12; Data on Urban land, small water etc
Essays on Estimation of Inflation Equation
Kim, Woong
2009-05-15
. . . . . . . . . . . . 11 1. Models . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2. Numerical Analysis for the Theoretical Relationship . 13 3. Numerical Analysis for the Empirical Issues . . . . . . 25 C. Alternative Kurtosis... 3. Detection of Outliers . . . . . . . . . . . . . . . . . . . 71 C. Empirical Results . . . . . . . . . . . . . . . . . . . . . . . 73 D. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 IV ESTIMATION OF HYBRID PHILLIPS CURVE...
microclim: Global estimates of hourly microclimate based
Porter, Warren P.
temperature, wind speed, relative humidity, solar radiation, sky radiation and substrate temperatures from substrates (soil, rock and sand) per pixel. These data are suitable for deriving biophysical estimates of the heat, water and activity budgets of terrestrial organisms. Design Type(s) observation design data
Seismic Fragility Analysis and Loss Estimation for Concrete Structures
Bai, Jong Wha
2012-02-14
seismic vulnerability of concrete structures and effective in quantifying the uncertainties in the loss estimation process....
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
Estimating the error distribution function in semiparametric regression
Mueller, Uschi
Schick, Wolfgang Wefelmeyer Abstract We prove a stochastic expansion for a residual-based estimator linear smoother, i.i.d. representation, Donsker class, effi- ciency. #12;2 Muller - Schick - Wefelmeyer estimators of ; see e.g. Schick (1996). Given such an estimator ^ of , we estimate by a local linear smoother
A multivariate phase distribution and its estimation
Charles F. Cadieu; Kilian Koepsell
2009-06-21
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.
Bayesian parameter estimation for effective field theories
Wesolowski, S; Furnstahl, R J; Phillips, D R; Thapaliya, A
2015-01-01
We present procedures based on Bayesian statistics for effective field theory (EFT) parameter estimation from data. The extraction of low-energy constants (LECs) is guided by theoretical expectations that supplement such information in a quantifiable way through the specification of Bayesian priors. A prior for natural-sized LECs reduces the possibility of overfitting, and leads to a consistent accounting of different sources of uncertainty. A set of diagnostic tools are developed that analyze the fit and ensure that the priors do not bias the EFT parameter estimation. The procedures are illustrated using representative model problems and the extraction of LECs for the nucleon mass expansion in SU(2) chiral perturbation theory from synthetic lattice data.
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01
Chair of Advisory Committee: Dr. Shiping Li This thesis is a document of studying empirical statistics of the parameter estimates in parametric modeling. After reviewing some common estimation methods, some simulation results on the empirical..., a new estimation method is proposed to improve the accuracy of the estimates for ARMA models. In chapter four, a new estimation method is proposed for exponential models. This method first utilizes singular value decomposition of the signal...
State energy data report 1992: Consumption estimates
Not Available
1994-05-01
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.
Parameter estimation on gravitational waves from neutron-star binaries with spinning components
Ben Farr; Christopher P. L. Berry; Will M. Farr; Carl-Johan Haster; Hannah Middleton; Kipp Cannon; Philip B. Graff; Chad Hanna; Ilya Mandel; Chris Pankow; Larry R. Price; Trevor Sidery; Leo P. Singer; Alex L. Urban; Alberto Vecchio; John Veitch; Salvatore Vitale
2015-08-24
Inspiraling binary neutron stars are expected to be one of the most significant sources of gravitational-wave signals for the new generation of advanced ground-based detectors. Advanced LIGO will begin operation in 2015 and we investigate how well we could hope to measure properties of these binaries should a detection be made in the first observing period. We study an astrophysically motivated population of sources (binary components with masses $1.2~\\mathrm{M}_\\odot$-$1.6~\\mathrm{M}_\\odot$ and spins of less than $0.05$) using the full LIGO analysis pipeline. While this simulated population covers the observed range of potential binary neutron-star sources, we do not exclude the possibility of sources with parameters outside these ranges; given the existing uncertainty in distributions of mass and spin, it is critical that analyses account for the full range of possible mass and spin configurations. We find that conservative prior assumptions on neutron-star mass and spin lead to average fractional uncertainties in component masses of $\\sim 16\\%$, with little constraint on spins (the median $90\\%$ upper limit on the spin of the more massive component is $\\sim 0.7$). Stronger prior constraints on neutron-star spins can further constrain mass estimates, but only marginally. However, we find that the sky position and luminosity distance for these sources are not influenced by the inclusion of spin; therefore, if LIGO detects a low-spin population of BNS sources, less computationally expensive results calculated neglecting spin will be sufficient for guiding electromagnetic follow-up.
Position estimation of transceivers in communication networks
Kent, Claudia A. (Pleasanton, CA); Dowla, Farid (Castro Valley, CA)
2008-06-03
This invention provides a system and method using wireless communication interfaces coupled with statistical processing of time-of-flight data to locate by position estimation unknown wireless receivers. Such an invention can be applied in sensor network applications, such as environmental monitoring of water in the soil or chemicals in the air where the position of the network nodes is deemed critical. Moreover, the present invention can be arranged to operate in areas where a Global Positioning System (GPS) is not available, such as inside buildings, caves, and tunnels.
Estimated United States Transportation Energy Use 2005
Smith, C A; Simon, A J; Belles, R D
2011-11-09
A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.
ORISE: Radiation Dose Estimates and Other Compendia
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEY UNIVERSEHow ORISE is Making aDose Estimates and Other Compendia
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01
Calibration Using GRACE Data and Base Flow Estimates [ 17 ]ESTIMATION USING GRACE DATA base flow data. In this casemeasured GRACE data and estimated base flow simultaneously
Risk Estimation Methodology for Launch Accidents.
Clayton, Daniel James; Lipinski, Ronald J.; Bechtel, Ryan D.
2014-02-01
As compact and light weight power sources with reliable, long lives, Radioisotope Power Systems (RPSs) have made space missions to explore the solar system possible. Due to the hazardous material that can be released during a launch accident, the potential health risk of an accident must be quantified, so that appropriate launch approval decisions can be made. One part of the risk estimation involves modeling the response of the RPS to potential accident environments. Due to the complexity of modeling the full RPS response deterministically on dynamic variables, the evaluation is performed in a stochastic manner with a Monte Carlo simulation. The potential consequences can be determined by modeling the transport of the hazardous material in the environment and in human biological pathways. The consequence analysis results are summed and weighted by appropriate likelihood values to give a collection of probabilistic results for the estimation of the potential health risk. This information is used to guide RPS designs, spacecraft designs, mission architecture, or launch procedures to potentially reduce the risk, as well as to inform decision makers of the potential health risks resulting from the use of RPSs for space missions.
Estimates of Savings Achievable from Irrigation Controller
Williams, Alison; Fuchs, Heidi; Whitehead, Camilla Dunham
2014-03-28
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.
Estimating Wireless Network Properties with Spatial Statistics and Models
Paris-Sud XI, Universit de
Estimating Wireless Network Properties with Spatial Statistics and Models Janne Riihij statistics and models for different estimation problems related to wireless networks. We focus specifically wireless networks. We provide a concise survey of existing techniques from the spatial statistics
Microsoft PowerPoint - 15.1615_Cost Estimating Panel
Cost Estimate (ICE) - Same Basis as Project Cost Estimate (PCE) Sa e as s as ojec Cos s a e ( C ) - Reconcilable with PCE to Facilitate Validation * Independent Cost Review...
Evaporation Duct Estimation from Clutter Using Meteorological Statistics
Gerstoft, Peter
Evaporation Duct Estimation from Clutter Using Meteorological Statistics Caglar Yardim*, Peter under duct- ing conditions. Electromagnetic ducts result in non-standard electromagnetic prop- agation addresses how to incorporate meteo- rological statistics into evaporative duct estimation within a Bayesian
A Methodology for Estimating Interdomain Web Traffic Demand
Maggs, Bruce M.
A Methodology for Estimating Interdomain Web Traffic Demand Anja Feldmann , Nils Kammenhuber-varying) interdomain HTTP traffic demand matrix pairing several hundred thousand blocks of client IP addresses, Traffic demand, Interdomain, Es- timation 1. INTRODUCTION The reliable estimation and prediction
Development of the Potential Energy Savings Estimation (PESE) Toolkit
Liu, J.; Baltazar, J. C.; Claridge, D. E.
2010-01-01
This study has developed a prototype computer tool called the Potential Energy Savings Estimation (PESE) Toolkit. Baltazars methodology for potential energy savings estimation from EBCx/retrofit measures has been improved ...
Estimation of the ion toroidal rotation source due to momentum...
Office of Scientific and Technical Information (OSTI)
Estimation of the ion toroidal rotation source due to momentum transfer from Lower Hybrid waves in Alcator C-Mod Citation Details In-Document Search Title: Estimation of the ion...
Asymptotics for the maximum likelihood estimators of diffusion models
Jeong, Minsoo
2009-05-15
In this paper I derive the asymptotics of the exact, Euler, and Milstein ML estimators for diffusion models, including general nonstationary diffusions. Though there have been many estimators for the diffusion model, their asymptotic properties were...
New DOE Modeling Tool Estimates Economic Benefits of Offshore...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis To help...
New DOE Report Estimates LED Savings in Common Lighting Applications...
New DOE Report Estimates LED Savings in Common Lighting Applications New DOE Report Estimates LED Savings in Common Lighting Applications July 24, 2015 - 11:00am Addthis The U.S....
Cost and production estimation for a cutter suction dredge
Miertschin, Michael Wayne
1997-01-01
The need for accurate cost estimates is well recognized in the dredging industry. In order for a dredging contractor to efficiently execute a project from its conception to its completion, an accurate estimate of the final cost is imperative...
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 ...
A Comparative Study of Estimation Models for Satellite Relative Motion
Desai, Uri
2013-01-31
The problem of relative spacecraft motion estimation is considered with application to various reference and relative orbits. Mean circular and elliptic orbits are analyzed, with relative orbits ranging in size from 1 km to 10 km. Estimators...
New DOE Modeling Tool Estimates Economic Benefits of Offshore...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis...
Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat
Boyer, Edmond
. Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role
Experimental Investigation of Helicopter Weight and Mass Center Estimation
Taylor, Bradley Whitten
2013-04-09
Real-time estimates of weight and mass center location for helicopters are desirable for flight control and condition-based maintenance purposes. While methods to estimate mass parameters of helicopters have been developed, they often assume near...
Improving earthquake source spectrum estimation using multitaper techniques
Prieto, Germn A.
2007-01-01
65 Uncertainties in earthquake source spectrum estimation1. Earthquake physics . . . . . . . . . . . . . . .1. Static and dynamic earthquake parameters 2. Scaling of
Estimating the Economic Cost of Sea-Level Rise
Sugiyama, Masahiro.
To improve the estimate of economic costs of future sea-level rise associated with global climate change,
Interconnect Delay and Area Estimation for Multiple-Pin Nets
Pan, David Z.
,000,000 second = 3 years ! #12;Needs for Efficient Interconnect Estimation Models nn EfficiencyEfficiency nn
Statewide Estimate of 2012 Safety Belt Use in Texas
Statewide Estimate of 2012 Safety Belt Use in Texas All Passenger Vehicles Passenger Cars Pickups Front Seat--Estimated Safety Belt Use 94.04 94.88 91.71 Driver--Estimated Safety Belt Use 94.66 95.56 92.10 Passenger--Estimated Safety Belt Use 91.05 91.74 82.11 #12;2012 Safety Belt Use in 18 Texas Cities #12
Working Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE
Karp, Larry S.
Working Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE AND ADVERTISING STRATEGIES (formerly Estimating Firms'Mixed Price and Advertising Strategies: Coke and Pepsi) by Amos Golan, Larry S. Karp. #12;Estimating Coke and Pepsi's Price and Advertising Strategies Amos Golan* Larry S. Karp** Jeffrey M
A Tool for Estimating Software Testing Requirements James M. Bieman
Bieman, James M.
A Tool for Estimating Software Testing Requirements James M. Bieman Department of Computer Science 10, 1990 Abstract We describe a prototype software tool that estimates the number of test cases to evaluate proposed testing techniques, estimate the resources required to test a software system
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
Jayaweera, Sudharman K.
Wimalajeewa and Sudharman K. Jayaweera Dept. of Electrical and Computer Engineering University of New Mexico corrupted estimator from the previous node. Since all nodes in the network may not carry useful information estimation problem, the required parameter is to be estimated based on noise corrupted observations at local
TOPICS IN PROBABILISTIC LOCATION ESTIMATION IN WIRELESS NETWORKS
Myllymki, Petri
TOPICS IN PROBABILISTIC LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllym;TOPICS IN PROBABILISTIC LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllymaki, Teemu, Spain, IEEE Press, 2004. TOPICS IN PROBABILISTIC LOCATION ESTIMATION IN WIRELESS NETWORKS Petri
Optimal Estimation from Relative Measurements: Error Scaling (Extended Abstract)
Hespanha, Joo Pedro
"relative" measurement between xu and xv is available: uv = xu - xv + u,v Rk , (u, v) E V V, (1) whereOptimal Estimation from Relative Measurements: Error Scaling (Extended Abstract) Prabir Barooah Jo~ao P. Hespanha I. ESTIMATION FROM RELATIVE MEASUREMENTS We consider the problem of estimating a number
Risk Analytics for Estimating and Validating Magnitude of Earthquake Losses
Rau-Chaplin, Andrew
Risk Analytics for Estimating and Validating Magnitude of Earthquake Losses A. Astoul, C. Filliter-time estimation and visualisation of insured losses incurred due to earthquakes is presented. The system incorporates a model for estimating losses due to earthquakes in near real-time and a geo
Remote estimation of carbon dioxide uptake by a Mediterranean forest
Garbulsky, Martn
Remote estimation of carbon dioxide uptake by a Mediterranean forest M A R T I N F. G A R B U L Science and Environment, University of Tuscia, 01100 Viterbo, Italy Abstract The estimation of the carbon of the ecology of global change. Current remote sensing methodologies for estimating gross primary productivity
Transmission Strategies for Correlated MIMO Links with Imperfect Channel Estimates
Yener, Aylin
Transmission Strategies for Correlated MIMO Links with Imperfect Channel Estimates Semih Serbetli for channel estimation versus data transmission. The optimum power allocation problem between the training sequences for channel estimation and data transmission for the correlated MIMO link is shown to have
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
Achieving Real-time Mode Estimation through Offline Compilation
Achieving Real-time Mode Estimation through Offline Compilation by John M. Van Eepoel B, Committee on Graduate Students #12;Achieving Real-time Mode Estimation through Offline Compilation2 This page intentionally left blank. #12;Achieving Real-time Mode Estimation through Offline Compilation 3
Hybrid Systems State estimation for hybrid systems: applications
Tomlin, Claire
Hybrid Systems State estimation for hybrid systems: applications to aircraft tracking I. Hwang, H of a stochastic linear hybrid system, given only the continuous system output data, is studied. Well established techniques for hybrid estimation, known as the multiple model adaptive estimation algorithm
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
Filament Estimation and Uncertainty Measures Yen-Chi Chen
Filament Estimation and Uncertainty Measures Yen-Chi Chen Larry Wasserman Christopher Genovese Mellon University April 21, 2014 1 / 39 #12;Outline Introduction to Filaments Filament Estimation Uncertainty Measures Future Work 2 / 39 #12;Introduction Outline Introduction to Filaments Filament Estimation
Estimators in step regression models Ursula U. Muller
Wefelmeyer, Wolfgang
Estimators in step regression models Ursula U. Muller Texas A&M University Anton Schick Binghamton function but smooth; see Schick and Wefelmeyer (2012) and (2013). Here the regression function has jumps. Then the corresponding convolution estimator can have the rate n-1/2 of an empirical estimator; see again Schick
Estimated Costs of Crop Production in Iowa 2000
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2000 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agriculture cooperatives around the state. These costs estimates are representative
Estimated Costs for Production, Storage and Transportation of Switchgrass
Duffy, Michael D.
Estimated Costs for Production, Storage and Transportation of Switchgrass File A1-22 February 2008 updates earlier production cost estimates for switchgrass. The earlier estimations were com- pleted University (ISU) Extension publication Costs of Producing Switchgrass for Biomass in South- ern Iowa, PM 1866
Estimated Costs of Crop Production in Iowa 2001
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2001 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agriculture cooperatives around the state. These costs estimates are representative
Fuzzy Estimation of DC Motor Winding Currents Innovatia Software
Simon, Dan
Fuzzy Estimation of DC Motor Winding Currents Dan Simon Innovatia Software 775 Rothrock Circle ux is rotated in the desired direction of ofuzzy ltering to motor winding current estimation stator windings. an attractive alternative to current estimation using In order to implement an e
A SENSOR AND DATA FUSION ALGORITHM FOR ROAD GRADE ESTIMATION
Johansson, Karl Henrik
A SENSOR AND DATA FUSION ALGORITHM FOR ROAD GRADE ESTIMATION Per Sahlholm Henrik Jansson Ermin presents a road grade estimation algorithm for fusion of GPS and vehicle real-time sensor data, with measurements from previous runs over the same road segment. The resulting road grade estimate is thus enhanced
Seismic Velocity Estimation from Time Migration Maria Kourkina Cameron
Cameron, Maria Kourkina
Seismic Velocity Estimation from Time Migration by Maria Kourkina Cameron Diplom (Moscow Institute Dung-Hai Lee Spring 2007 #12;Seismic Velocity Estimation from Time Migration Copyright c 2007 by Maria Kourkina Cameron #12;Abstract Seismic Velocity Estimation from Time Migration by Maria Kourkina Cameron
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
2010-09-30
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.
Lucas, Matthew Allen
2009-05-15
was made from the onset of the research to relate the ROW cost estimating and cost estimate management process to the first four project development phases (planning, programming. preliminary design, and final design). There are five flowcharts produced...
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
Parameter estimation, nonlinearity and Occam's razor
Leandro M. Alonso
2014-10-30
Nonlinear systems are capable of displaying complex behavior even if this is the result of a small number of interacting time scales. A widely studied case is when complex dynamics emerges out of a nonlinear system being forced by a simple harmonic function. In order to identify if a recorded time series is the result of a nonlinear system responding to a simpler forcing, we develop a discrete nonlinear transformation for time series based on synchronization techniques. This allows a parameter estimation procedure which simultaneously searches for a good fit of the recorded data, and small complexity of a fluctuating driving parameter. We illustrate this procedure using data from respiratory patterns during birdsong production.
Chapter 17: Estimating Net Savings: Common Practices
Violette, D. M.; Rathbun, P.
2014-09-01
This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.
Zabulis, Xenophon
imaging, despite the low-resolution appearance of subjects. 1 Introduction 3D head pose estimation. In such situations, a human head is imaged in relatively low resolution, illumination artifacts are frequentZABULIS et al.: 3D HEAD POSE ESTIMATION FROM MULTIPLE DISTANT VIEWS 1 3D head pose estimation from
Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates
Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.
2012-12-01
The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energys (DOEs) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).
IDC RP2 & 3 US Industry Standard Cost Estimate Summary.
Harris, James M.; Huelskamp, Robert M.
2015-01-01
Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the 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.
Fast cosmological parameter estimation using neural networks
T. Auld; M. Bridges; M. P. Hobson; S. F. Gull
2007-09-17
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.
Of fishes and birthdays: Efficient estimation of polymer configurational entropies
Nemenman, Ilya; Strauss, Charlie E
2015-01-01
We present an algorithm to estimate the configurational entropy $S$ of a polymer. The algorithm uses the statistics of coincidences among random samples of configurations and is related to the catch-tag-release method for estimation of population sizes, and to the classic "birthday paradox". Bias in the entropy estimation is decreased by grouping configurations in nearly equiprobable partitions based on their energies, and estimating entropies separately within each partition. Whereas most entropy estimation algorithms require $N\\sim 2^{S}$ samples to achieve small bias, our approach typically needs only $N\\sim \\sqrt{2^{S}}$. Thus the algorithm can be applied to estimate protein free energies with increased accuracy and decreased computational cost.
Evaluation of mutual information estimators on nonlinear dynamic systems
A. Papana; D. Kugiumtzis
2008-09-12
Mutual information is a nonlinear measure used in time series analysis in order to measure the linear and non-linear correlations at any lag $\\tau$. The aim of this study is to evaluate some of the most commonly used mutual information estimators, i.e. estimators based on histograms (with fixed or adaptive bin size), $k$-nearest neighbors and kernels. We assess the accuracy of the estimators by Monte-Carlo simulations on time series from nonlinear dynamical systems of varying complexity. As the true mutual information is generally unknown, we investigate the existence and rate of consistency of the estimators (convergence to a stable value with the increase of time series length), and the degree of deviation among the estimators. The results show that the $k$-nearest neighbor estimator is the most stable and less affected by the method-specific parameter.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Lu, Z.; Streets, D. G.; de Foy, B.; Lamsal, L. N.; Duncan, B. N.; Xing, J.
2015-05-28
Satellite remote sensing of tropospheric nitrogen dioxide (NO2) can provide valuable information for estimating surface nitrogen oxides (NOx) emissions. Using an exponentially-modified Gaussian (EMG) method and taking into account the effect of wind on observed NO2 distributions, we estimate three-year moving-average emissions of summertime NOx from 35 US urban areas directly from NO2 retrievals of the Ozone Monitoring Instrument (OMI) during 20052014. Following the conclusions of previous studies that the EMG method provides robust and accurate emission estimates under strong-wind conditions, we derive top-down NOx emissions from each urban area by applying the EMG method to OMI data with windmorespeeds greater than 35 m s-1. Meanwhile, we find that OMI NO2 observations under weak-wind conditions (i.e., -1) are qualitatively better correlated with the surface NOx source strength in comparison to all-wind OMI maps; and therefore we use them to calculate the satellite-observed NO2 burdens of urban areas and compare with NOx emission estimates. The EMG results show that OMI-derived NOx emissions are highly correlated (R > 0.93) with weak-wind OMI NO2 burdens as well as bottom-up NOx emission estimates over 35 urban areas, implying a linear response of the OMI observations to surface emissions under weak-wind conditions. The simultaneous, EMG-obtained, effective NO2 lifetimes (~3.5 1.3 h), however, are biased low in comparison to the summertime NO2 chemical lifetimes. In general, isolated urban areas with NOx emission intensities greater than ~ 2 Mg h-1 produce statistically significant weak-wind signals in three-year average OMI data. From 2005 to 2014, we estimate that total OMI-derived NOx emissions over all selected US urban areas decreased by 49%, consistent with reductions of 43, 47, 49, and 44% in the total bottom-up NOx emissions, the sum of weak-wind OMI NO2 columns, the total weak-wind OMI NO2 burdens, and the averaged NO2 concentrations, respectively, reflecting the success of NOx control programs for both mobile sources and power plants. The decrease rates of these NOx-related quantities are found to be faster (i.e., -6.8 to -9.3% yr-1) before 2010 and slower (i.e., -3.4 to -4.9% yr-1) after 2010. For individual urban areas, we calculate the R values of pair-wise trends among the OMI-derived and bottom-up NOx emissions, the weak-wind OMI NO2 burdens, and ground-based NO2 measurements; and high correlations are found for all urban areas (median R = 0.8), particularly large ones (R up to 0.97). The results of the current work indicate that using the EMG method and considering the wind effect, the OMI data allow for the estimation of NOx emissions from urban areas and the direct constraint of emission trends with reasonable accuracy.less
Energy savings estimates and cost benefit calculations for high performance relocatable classrooms
Rainer, Leo I.; Hoeschele, Marc A.; Apte, Michael G.; Shendell, Derek G.; Fisk, William J.
2003-01-01
Energy Savings Estimates and Cost Benefit Calculations forEnergy Savings Estimates and Cost Benefit Calculations forEnergy Savings Estimates and Cost Benefit Calculations for
Nonparametric estimation of econometric models with categorical variables
Ouyang, Desheng
2006-10-30
shows that regression model with only discrete vari- ables differs significantly from the mixed discrete and continuous variables case. In the mixed variable case with at least one relevant continuous regressor, the irrele- vant variables can be smoothed... CV-based estimator has a high probability of smoothing out the irrele- vant variable, hence it leads to a more efficient (in finite samples) estimation result than the frequency estimator. It is interesting to observe that our nonparametric CV...
Using Photogrammetry to Estimate Tank Waste Volumes from Video
Field, Jim G. [Washington River Protection Solutions, LLC, Richland, WA (United States)
2013-03-27
Washington River Protection Solutions (WRPS) contracted with HiLine Engineering & Fabrication, Inc. to assess the accuracy of photogrammetry tools as compared to video Camera/CAD Modeling System (CCMS) estimates. This test report documents the results of using photogrammetry to estimate the volume of waste in tank 241-C-I04 from post-retrieval videos and results using photogrammetry to estimate the volume of waste piles in the CCMS test video.
Estimation of beef tenderness with the Armour Tenderometer
Culp, Gary Ray
1974-01-01
ESTIMATION OF BEEF TENDERNESS NITH THE ARMOUR TENDEROMETER A Thesis by GARY RAY CULP Submitted to the Graduate College of Texas AEM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1974 Major... Subject: Meat Science ESTIMATION OF BEEF TENDERNESS WITH THE ARMOUR TENDEROMETER A Thesis by Gary Ray Culp Approved as to style and content by: Co- a rman o-ch n ea o Department Mem er May 1974 ABSTRACT Estimation of Beef Tenderness...
Quantum enhanced estimation of a multi-dimensional field
Tillmann Baumgratz; Animesh Datta
2015-07-10
We present a framework for the quantum enhanced estimation of multiple parameters corresponding to non-commuting unitary generators. Our formalism provides a recipe for the simultaneous estimation of all three components of a magnetic field. We propose a probe state that surpasses the precision of estimating the three components individually and discuss measurements that come close to attaining the quantum limit. Our study also reveals that too much quantum entanglement may be detrimental to attaining the Heisenberg scaling in quantum metrology.
Battery Calendar Life Estimator Manual Modeling and Simulation
Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia
2012-10-01
The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.
Statewide Estimate of 2011 Safety Belt Use in Texas
Statewide Estimate of 2011 Safety Belt Use in Texas All Passenger Vehicles Passenger Cars Pickups Front Seat--Estimated Safety Belt Use Standard Error Lower 95% confidence limit Upper 95% confidence limit 93.68 2.31 89.15 98.21 94.67 2.28 90.20 99.14 90.81 2.33 86.24 95.38 Driver--Estimated Safety Belt
Stochastic Wireless Channel Modeling, Estimation and Identification from Measurements
Olama, Mohammed M [ORNL; Djouadi, Seddik M [ORNL; Li, Yanyan [ORNL
2008-07-01
This paper is concerned with stochastic modeling of wireless fading channels, parameter estimation, and system identification from measurement data. Wireless channels are represented by stochastic state-space form, whose parameters and state variables are estimated using the expectation maximization algorithm and Kalman filtering, respectively. The latter are carried out solely from received signal measurements. These algorithms estimate the channel inphase and quadrature components and identify the channel parameters recursively. The proposed algorithm is tested using measurement data, and the results are presented.
Estimating atmospheric parameters and reducing noise for multispectral imaging
Conger, James Lynn
2014-02-25
A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a "corrected" multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.
A Simple, Fast Method of Estimating Fractured Reservoir Geometry...
Fractured Reservoir Geometry from Tracer Tests Abstract A simple method of estimating flow geometry and pore geometry from conservative tracer tests in single phase geothermal...
Estimating Costs and Efficiency of Storage, Demand, and Heat...
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 energy...
Visual Vibrometry: Estimating Material Properties from Small Motions in Video
Davis, Myers Abraham
The estimation of material properties is important for scene understanding, with many applications in vision, robotics, and structural engineering. This paper connects fundamentals of vibration mechanics with computer ...
Estimation of Gas Leak Rates Through Very Small Orifices
Office of Scientific and Technical Information (OSTI)
Estimation of Gas Leak Rates Through Very Small Orifices and Channels by Herbert J. Bomelburg February 1977 Prepared for the Nuclear Regulatory Commission -..- Pacific Northwest...
Modeling, Estimation, and Control of Waste Heat Recovery Systems
Luong, David
2013-01-01
State Estimation for Open Organic Rankine Cycle (ORC)138optimization of an organic Rankine cycle waste heat powerand Simulation of an Organic Rankine Cycle (ORC) System for
Geothermal Reservoir Temperatures Estimated from the Oxygen Isotope...
Geothermal Reservoir Temperatures Estimated from the Oxygen Isotope Compositions of Dissolved Sulfate and Water from Hot Springs and Shallow Drillholes Jump to: navigation, search...
Geothermal reservoir temperatures estimated from the oxygen isotope...
Geothermal reservoir temperatures estimated from the oxygen isotope compositions of dissolved sulfate and water from hot springs and shallow drillholes Jump to: navigation, search...
Real Time Estimation of Ship Motions Using Kalman Filtering Techniques
Triantafyllou, Michael S.
1983-01-01
The estimation of the heave, pitch, roll, sway, and yaw motions of a DD-963 destroyer is studied, using Kalman filtering
Quality Guidline for Cost Estimation Methodology for NETL Assessments...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies April 2011 Disclaimer This report was prepared as an account of work...
Reliable estimation of biochemical parameters from C3 leafphotosynthe...
Office of Scientific and Technical Information (OSTI)
Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves Citation Details In-Document Search Title: Reliable...
Evaluation of Thermal Evolution Profiles and Estimation of Kinetic...
Office of Scientific and Technical Information (OSTI)
Evaluation of Thermal Evolution Profiles and Estimation of Kinetic Parameters for Pyrolysis of CoalCorn Stover Blends Using Thermogravimetric Analysis Citation Details...
Glass Property Models and Constraints for Estimating the Glass...
Office of Scientific and Technical Information (OSTI)
increases in waste loading in HLW and LAW glasses are possible over current system planning estimates. The data (although limited in some cases) were evaluated to determine a...
A Sensitivity Analysis of a Thin Film Conductivity Estimation...
Office of Scientific and Technical Information (OSTI)
Conference: A Sensitivity Analysis of a Thin Film Conductivity Estimation Method Citation Details In-Document Search Title: A Sensitivity Analysis of a Thin Film Conductivity...
Brush Busters: How to Estimate Costs for Controlling Pricklypear
Ueckert, Darrell; McGinty, Allan
1999-04-15
Simple directions help you determine the density of pricklypear on your land, and then estimate the cost of controlling these plants with the pad or stem spray method.
Estimating the Benefits and Costs of Distributed Energy Technologies...
Office of Environmental Management (EM)
Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and...
Estimating the Benefits and Costs of Distributed Energy Technologies...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations On September 30 and October 1, 2014, the Department of Energy...
,"New Mexico Dry Natural Gas Reserves Estimated Production (Billion...
U.S. Energy Information Administration (EIA) Indexed Site
Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2013...
Estimating energy-augmenting technological change in developing country industries
Sanstad, Alan H.; Roy, Joyashree; Sathaye, Jayant A.
2006-01-01
Productivity trends in India's energy-intensive industries,estimates. However, in India, the energy trend is negativefor several energy-intensive industries in India and South
Derivative-free optimization for parameter estimation in computational...
Office of Scientific and Technical Information (OSTI)
Derivative-free optimization for parameter estimation in computational nuclear physics Citation Details In-Document Search Title: Derivative-free optimization for parameter...
,"Texas Dry Natural Gas Reserves Estimated Production (Billion...
U.S. Energy Information Administration (EIA) Indexed Site
,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2013...
Estimating Pedestrian Accident Exposure: Automated Pedestrian Counting Devices Report
Bu, Fanping; Greene-Roesel, Ryan; Diogenes, Mara Chagas; Ragland, David R
2007-01-01
pp. 283-291. Estimating Pedestrian Accident Exposure: Draftand J. Thiran. Counting Pedestrians in Video Sequences UsingPartnership (CLP) Automatic Pedestrian Counting Trial. Stage
Estimating the Value of Electricity Storage Resources in Electricity...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this...
Estimating Appliance and Home Electronic Energy Use | Department...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual...
Estimation and Analysis of Life Cycle Costs of Baseline Enhanced...
Estimation and Analysis of Life Cycle Costs of Baseline Enhanced Geothermal Systems Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title...
Reconciling estimates of the contemporary North American carbon...
Office of Scientific and Technical Information (OSTI)
of carbon stocks and flux, and the uncertainties inherent in each approach. The alternative approaches to estimating continental scale carbon fluxes that we explored here can...
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Smallwood, D.O.
1996-01-01
It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density matrix of the input and output records. The results can be equivalently obtained using singular value decomposition (SVD) of the cross-spectral density matrix. Using SVD suggests a new form of fractional coherence. The formulation as a SVD problem also suggests a way to order the inputs when a natural physical order of the inputs is absent.
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31
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 Authoritys 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.
Parameter estimation with Sandage-Loeb test
Jia-Jia Geng; Jing-Fei Zhang; Xin Zhang
2014-11-28
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of $2\\lesssim z\\lesssim 5$ by detecting redshift drift in the spectra of Lyman-$\\alpha$ forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the $\\Lambda$CDM, the $w$CDM, and the $w_0w_a$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 $\\Omega_m$ and $H_0$ 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 $\\Omega_m$ and $H_0$ 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 $w_0$ and $w_a$ 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 $\\Omega_m$, $H_0$, and $w_a$ by more than 70\\%, 20\\%, and 60\\%, respectively, for the $w_0w_a$CDM model.
Parameter estimation with Sandage-Loeb test
Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin E-mail: jfzhang@mail.neu.edu.cn
2014-12-01
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2?
Herbert, Christopher; Liu, Mitchell; Tyldesley, Scott; Morris, W. James; Joffres, Michel; Khaira, Mandip; Kwan, Winkle; Moiseenko, Vitali; Pickles, Thomas
2012-05-01
Purpose: To identify subgroups of patients with carcinoma of the prostate treated with radical radiotherapy that have improved overall survival when disease is biochemically controlled. Methods and Materials: A cohort of 1,060 prostate cancer patients treated with radical radiotherapy was divided into nine subgroups based on National Comprehensive Cancer Network risk category and estimated 10-year overall survival (eOS 10y) derived from the age adjusted Charlson Comorbidity Index. Patients with and without biochemical control were compared with respect to overall survival. Actuarial estimates of overall survival were calculated using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazards models were used for analysis of overall survival. Results: Median follow-up was 125 months (range, 51-176 months). Only the subgroups with high or intermediate risk disease and an eOS 10y of >90% had a statistically significantly improved overall survival when prostate cancer was biochemically controlled. In all other groups, biochemical control made no significant difference to overall survival. In the subgroup with high-risk disease and eOS 10y >90%, actuarial overall survival was 86.3% (95% confidence interval [CI] 78.5%-94.1%) and 62.1% (95% CI 52.9%-71.3%) for patients with biochemical control and biochemical relapse respectively (p = 0.002). In the intermediate risk group with eOS >90%, actuarial overall survival was 95.3% (95% CI 89.0%-100%) and 79.8% (95% CI 68.0%-91.6%) for biochemically controlled and biochemically relapsed patients (p = 0.033). On multivariate analysis, National Comprehensive Cancer Network risk group (p = 0.005), biochemical control (p = 0.033) and eOS 10y (p < 0.001) were statistically significant. Conclusion: Biochemical control translates into improved overall survival in patients with high or intermediate risk disease and an estimated 10-year overall survival of >90%.
Second order accurate variance estimation in poststratified two-stage sampling
Kim, Kyong Ryun
2007-09-17
We proposed new variance estimators for the poststratified estimator of the population total in two-stage sampling. The linearization or Taylor series variance estimator and the jackknife linearization variance estimator ...
Freeman, Matthew A
2006-10-30
estimation is explained for a simple serial estimator. Then the thesis shows how conventional measurements and newer, more accurate PMU measurements work within the framework of weighted least squares estimation. Next, the multi-area state estimator...
Real Time Head Pose Estimation from Consumer Depth Cameras
Wolberg, George
for estimating location and orientation of a person's head, from depth data acquired by a low quality device. OurReal Time Head Pose Estimation from Consumer Depth Cameras Gabriele Fanelli1 , Thibaut Weise2 and the variance of the head position and orientation. We evaluate three different approaches to jointly take
Local Harmonic Estimation in Musical Sound Rafael A. IRIZARRY
Irizarry, Rafael A.
Local Harmonic Estimation in Musical Sound Signals Rafael A. IRIZARRY Statistical modeling so a local harmonic model that tracks changes in pitch and in the amplitudes of the harmonics is fit estimates of the harmonic signal and of the noise signal. Different musical composition applications may
MMSE Noise Power and SNR Estimation for OFDM Systems
Arslan, Hseyin
MMSE Noise Power and SNR Estimation for OFDM Systems Tevfik Yucek and Huseyin Arslan Department-- This paper proposes a minimum mean-square error (MMSE) filtering technique to estimate the noise power that takes into account the variation of the noise statistics across the orthogonal frequency division
Clutter-Based Evaporation Duct Estimation Performance Using Meteorological Statistics
Gerstoft, Peter
Clutter-Based Evaporation Duct Estimation Performance Using Meteorological Statistics Caglar Yardim in different regions of the world with varying duct strengths and statistics. The performance of evaporation duct estimation is investigated in littoral zones such as the North Sea, Wallops Island, Coast
NEAR SURFACE WATER CONTENT ESTIMATION USING GPR DATA: INVESTIGATIONS WITHIN
Rubin, Yoram
NEAR SURFACE WATER CONTENT ESTIMATION USING GPR DATA: INVESTIGATIONS WITHIN CALIFORNIA VINEYARDS S (sshubbard@lbl.gov) Detailed estimates of water content are necessary for variety of hydrogeological inves to obtain sufficient information about the spatial variation of water content within the root zone using
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
A Heat Kernel based Cortical Thickness Estimation Algorithm
Wang, Yalin
thickness, Heat Kernel, Tetrahedral Mesh, Streamline, False Discovery Rate 1 Introduction AlzheimerA Heat Kernel based Cortical Thickness Estimation Algorithm Gang Wang1,2 , Xiaofeng Zhang1.R.China Abstract. Cortical thickness estimation in magnetic resonance imag- ing (MRI) is an important technique
Ridge Regression Estimation for Survey Samples Mingue Park
Yang, Min
Ridge Regression Estimation for Survey Samples Mingue Park and Min Yang Korea University and University of Missouri Abstract A procedure for constructing a vector of regression weights is considered. Under the re- gression superpopulation model, the ridge regression estimator that has minimum model mean
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
Conditional Regression Forests for Human Pose Estimation Pushmeet Kohli
Kohli, Pushmeet
Conditional Regression Forests for Human Pose Estimation Min Sun Pushmeet Kohli Jamie Shotton estimation from depth images. The conditional regression model proposed in the paper is general and can body joint prediction as a regression problem which avoids intermediate body part classification
Ridge Regression Estimation Approach to Measurement Error Model
Shalabh
Ridge Regression Estimation Approach to Measurement Error Model A.K.Md. Ehsanes Saleh Carleton of the regression parameters is ill conditioned. We consider the Hoerl and Kennard type (1970) ridge regression (RR) modifications of the five quasi- empirical Bayes estimators of the regression parameters of a measurement error
ESTIMATION OF WOODY BIOMASS AVAILABILITY FOR ENERGY IN TEXAS
. Estimation of Woody Biomass Availability for Energy in Texas. College Station, TX: Texas Forest Service. 96 pESTIMATION OF WOODY BIOMASS AVAILABILITY FOR ENERGY IN TEXAS Prepared for Todd Staples Commissioner of Sustainable Forestry Division of Forest Resource Development & Sustainable Forestry Texas Forest Service
Bolstered Error Estimation Ulisses Braga-Neto a,c
Braga-Neto, Ulisses
the bolstered error estimators proposed in this paper, as part of a larger library for classification and error of the data. It has a direct geometric interpretation and can be easily applied to any classification rule as smoothed error estimation. In some important cases, such as a linear classification rule with a Gaussian
Remote GPP estimation in maize Proceedings of 10th
Gitelson, Anatoly
, as well as on the release of carbon dioxide (CO2) due to the decomposition of organic matter. FieldRemote GPP estimation in maize Proceedings of 10th Int. Conference on Precision Agriculture, July 18-21, 2010, Denver, Colorado, USA www.icpaonline.org 1 REMOTE ESTIMATION OF GROSS PRIMARY PRODUCTION
Concurrent signal combining and channel estimation in digital communications
Ormesher, Richard C. (Albuquerque, NM); Mason, John J. (Albuquerque, NM)
2011-08-30
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.
EPA 402-R-93-076 ESTIMATING RADIOGENIC CANCER RISKS
comparing health risk estimates due to low level exposures of low-LET radiation based on models recently This document presents a revised methodology for EPA's estimation of cancer risks due to low-LET radiation. With the exception of breast cancer, low-LET radiogenic cancer risks are assumed to be reduced by a dose and dose
Cost estimating issues in the Russian integrated system planning context
Allentuck, J.
1996-03-01
An important factor in the credibility of an optimal capacity expansion plan is the accuracy of cost estimates given the uncertainty of future economic conditions. This paper examines the problems associated with estimating investment and operating costs in the Russian nuclear power context over the period 1994 to 2010.
Estimation of Wind Speed in Connection to a Wind Turbine
Estimation of Wind Speed in Connection to a Wind Turbine X. Ma #3; , N. K. Poulsen #3; , H. Bindner y December 20, 1995 Abstract The wind speed varies over the rotor plane of wind turbine making the wind speed on the rotor plane will be estimated by using a wind turbine as a wind measuring device
AIAA-2001-0044 Extreme Load Estimation for Wind Turbines
AIAA-2001-0044 Extreme Load Estimation for Wind Turbines: Issues and Opportunities for Improved design load estimation procedures for wind turbines often do not accurately treat the statistical nature of loads. Current practice for wind turbine load analysis is reviewed. The authors
Guaranteed state estimation by zonotopes for systems with interval uncertainties
Damm, Werner
. Stoica T. Alamo E.F. Camacho D. Dumur This talk focuses on guaranteed state estimation by zonotopes [1 example. References [1] T. Alamo, J.M. Bravo, and E.F. Camacho. Guaranteed state estimation by zonotopes. Automatica, 41:10351043, 2005. [2] V.T.H. Le, T. Alamo, E.F. Camacho, C. Stoica, and D. Dumur. A new
Updated Capital Cost Estimates for Utility Scale Electricity
that will serve future demand for electricity. These parameters also help to determine how new capacity competesUpdated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii
DAMAGE ESTIMATION USING MULTI-OBJECTIVE GENETIC ALGORITHMS Faisal Shabbir
Boyer, Edmond
DAMAGE ESTIMATION USING MULTI-OBJECTIVE GENETIC ALGORITHMS Faisal Shabbir 1 , Piotr Omenzetter 2 1.omenzetter@abdn.ac.uk ABSTRACT It is common to estimate structural damage severity by updating a structural model against experimental responses at different damage states. When experimental results from the healthy and damaged
Statistical estimation of multiple faults in aircraft gas turbine engines
Ray, Asok
415 Statistical estimation of multiple faults in aircraft gas turbine engines S Sarkar, C Rao of multiple faults in aircraft gas-turbine engines, based on a statistical pattern recognition tool called commercial aircraft engine. Keywords: aircraft propulsion, gas turbine engines, multiple fault estimation
The ARM Best Estimate 2-dimensional Gridded Surface
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Xie,Shaocheng; Qi, Tang
2015-06-15
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.
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.
2006 EAAM Photogrammetric Estimates of Size and Mass in Hawaiian
2006 EAAM Photogrammetric Estimates of Size and Mass in Hawaiian Monk Seals (Monachus-invasive photographic technique was devel- oped to estimate the body mass of Hawaiian monk seals (Monachus schauinslandi-kg weaned pups. Key Words: Hawaiian monk seals, Monachus schauinslandi, photogrammetry, morphometric
INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION
INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION by Elias Kyriakides FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION by Elias Kyriakides has been approved December ABSTRACT A method to identify synchronous generator parameters from on-line measurements is presented
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion J. Rico G. T. Heydt A an alternative to estimate armature circuit parameters of large utility generators using real time operating data of digital fault recorder data to identify synchronous machine parameters. 1. INTRODUCTION The use orthogonal
A Multivariate Approach to Estimate Complexity of FMRI Time Series
A Multivariate Approach to Estimate Complexity of FMRI Time Series Henry Sch¨utze1,2 , Thomas (MPSE), a multivariate entropy ap- proach that estimates spatio-temporal complexity of fMRI time series. In a temporally sliding window, MPSE measures the differential entropy of an assumed multivariate Gaussian density
Multivariate Selection Response and Estimation of Fitness Surfaces
Walsh, Bruce
Multivariate Selection Response and Estimation of Fitness Surfaces 2nd Annual NSF short course: multivariate selection response (response when selection is acting on a vector of traits) and fitness surface traits. Multivariate Selection Response and Estimation of Fitness Surfaces, pg. 1 #12;* + Select All X Y
HIGH PRECISION FREQUENCY ESTIMATION FOR HARPSICHORD TUNING CLASSIFICATION
Dixon, Simon
HIGH PRECISION FREQUENCY ESTIMATION FOR HARPSICHORD TUNING CLASSIFICATION Dan Tidhar, Matthias of conservative transcription, and show that existing high-precision pitch estimation techniques are sufficient that "sound good" together) is de- rived from the sharing of partial frequencies. As musical instruments
Optimal Training Signals for MIMO OFDM Channel Estimation
Minn, Hlaing
Optimal Training Signals for MIMO OFDM Channel Estimation Hlaing Minn*, Member, IEEE and Naofal Al.minn@utdallas.edu, aldhahir@utdallas.edu Abstract--This paper presents general classes of optimal train- ing signals transform are used to derive the optimal training signals which minimize the channel estimation mean square
Research article Estimating the proportion of offspring attributable
Avise, John
Research article Estimating the proportion of offspring attributable to candidate adults ANTHONY C. Ecol. 9, 515528; 2000b, Mol. Ecol. 9, 529539) published a method (Pat) that estimates the proportion is consistent with a large proportion of the genotyped offspring, or if marker polymorphism is high. In addition
Think Global, Act Local; Projectome Estimation with BlueMatter
Wandell, Brian A.
[1]. Understanding the architecture of these long-range projections (the projectome) is importantThink Global, Act Local; Projectome Estimation with BlueMatter Anthony J. Sherbondy1 , Robert F, USA Abstract. Estimating the complete set of white matter fascicles (the projectome) from diffusion
SARC Power Estimation Methodology Daniele Ludovici and Georgi N. Gaydadjiev
. Accurate estimation of power dis- sipation is very important during micro-architectural de- sign of every power consumption of the SARC architecture. SARC project is targeting next generation scalable com is one of the main challenges of this project. Therefore, adequate methodology to estimate it is needed
Sensitivity of health risk estimates to air quality adjustment procedure
Whitfield, R.G.
1997-06-30
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.
Efficient On-Line Estimation of Autoregressive Department of Mathematics
Sheldon, Nathan D.
control, optimization, and signal processing. A comprehensive survey of the related results and of some allows for incorporation of auxiliary information into the estimation process and, under certain class of on-line estimating procedures for the AR(m) processes. The advantage of our approach is that
Estimating the error distribution function in nonparametric regression
Mueller, Uschi
Schick, Wolfgang Wefelmeyer Summary: We construct an efficient estimator for the error distribution estimator, influence function #12;2 Muller - Schick - Wefelmeyer Muller, Schick and Wefelmeyer (2004a. We refer also to the introduction of Muller, Schick and Wefelmeyer (2004b). Our proof is complicat
TESTS FOR NORMALITY BASED ON DENSITY ESTIMATORS OF CONVOLUTIONS
Wefelmeyer, Wolfgang
TESTS FOR NORMALITY BASED ON DENSITY ESTIMATORS OF CONVOLUTIONS ANTON SCHICK, YISHI WANG-type kernel density estimator, goodness-of-fit test. Anton Schick was supported by NSF Grant DMS0906551. 1 #12;2 ANTON SCHICK, YISHI WANG AND WOLFGANG WEFELMEYER Instead of comparing distribution functions, we can
ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL
furnace emissions to 2050. Despite insufficient variation in energy prices over the historical periodESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy
Original article Estimation of leaf water content and specific leaf
Boyer, Edmond
Original article Estimation of leaf water content and specific leaf weight from reflectance and transmittance spectra measured over the 1 300-2 400-nm domain and the corresponding water content (g.cm-2) for pure water. We then investigated the possibility of estimating leaf water content and specific weight
FUNDAMENTALSTUDY FOR IMPROVEMENT OF ESTIMATION ACCURACY CHLORIDE CONTENT USING
Boyer, Edmond
by the electromagnetic wave radar that chloride contents and water contents, and temperature affected the electricalFUNDAMENTALSTUDY FOR IMPROVEMENT OF ESTIMATION ACCURACY CHLORIDE CONTENT USING ELECTROMAGNETIC, Tokyo, Japan mami.uchida.4k@stu.hosei.ac.jp ABSTRACT Chloride contents estimation using electromagnetic
Estimation of the optimal damping for mechanical vibrating systems
Truhar, Ninoslav
Estimation of the optimal damping for mechanical vibrating systems NinoslavTruhar, Zoran University of Osijek Series: Technical Reports #12;ESTIMATION OF THE OPTIMAL DAMPING FOR MECHANICAL VIBRATING in mechanical systems. Our algorithm optimize simultaneously the dampers' positions and their viscosities
Interdisciplinary Institute for Innovation Estimating the costs of nuclear
Paris-Sud XI, Universit de
Interdisciplinary Institute for Innovation Estimating the costs of nuclear power: benchmarks;1/36 Estimating the costs of nuclear power: benchmarks and uncertainties Franois Lvque Introduction The debate and voters that they are being manipulated: each side is just defending its own interests and the true cost
Estimating Emissions in Latin America: An Alternative to Traffic Models
Richner, Heinz
Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Osss de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed
Estimated Costs of Crop Production in Iowa 2002
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2002 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs
Estimated Costs of Crop Production in Iowa 2006
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2006 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs
Estimated Costs of Crop Production in Iowa 2005
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2005 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs
Distance Estimation Using Bidirectional Communications Without Synchronous Clocking
Sethares, William A.
Estimation via Asynchronous Clocks (DEVAC) and (2) Distance Estimation via Asynchronous Phase Shift (DEVAPS a reply that acts analogously to the return of the radar. The DEVAPS method operates analogously and frequency accuracy are computed to show the limits of performance with the DEVAPS method. The analytical
Parameter Estimation for the Heat Equation on Perforated Domains
Parameter Estimation for the Heat Equation on Perforated Domains H.T. Banks1 , D. Cioranescu2 , A: Inverse problems, parameter estimation, perforated domains, homogeniza- tion, thermal diffusion, ordinary porous samples by use of solutions of a heat equation on a randomly perforated domain. As noted
Parameter Estimation for the Heat Equation on Perforated Domains
Parameter Estimation for the Heat Equation on Perforated Domains H.T. Banks1 , D. Cioranescu2 , A for simulated data for heat flow in a porous medium. We consider data simulated from a model on a perforated Words: Inverse problems, parameter estimation, perforated domains, homogeniza- tion, thermal diffusion
Control relevant modeling and nonlinear state estimation applied to
Foss, Bjarne A.
Control relevant modeling and nonlinear state estimation applied to SOFC-GT power systems #12;ii #12;iii Rambabu Kandepu Control relevant modeling and nonlin- ear state estimation applied to SOFC- GT of the most promising fuel cell technologies is the Solid Oxide Fuel Cell (SOFC), due to its solid state
Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem
White, Luther
Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem Exchange Data Luther in the context of a deterministic com- partmental carbon sequestration system. Sensitivity and approximation usefulness in the estimation of parameters within a compartmental carbon sequestration model. Previously we
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan
Spletzer, John R.
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan Aerospace Engineering, Penn for distributed parameter estimation of a previously unknown wind field is described. The application is dynamic parameterization of the wind field is used, allowing implementation of a linear Kalman filter for parameter
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.; Mercurio, Matthew G.; Schellenberg, Josh A.; Eto, Joseph H.
2010-06-08
A robust methodology for estimating the value of service reliability improvements is presented. Although econometric models for estimating value of service (interruption costs) have been established and widely accepted, analysts often resort to applying relatively crude interruption cost estimation techniques in assessing the economic impacts of transmission and distribution investments. This paper first shows how the use of these techniques can substantially impact the estimated value of service improvements. A simple yet robust methodology that does not rely heavily on simplifying assumptions is presented. When a smart grid investment is proposed, reliability improvement is one of the most frequently cited benefits. Using the best methodology for estimating the value of this benefit is imperative. By providing directions on how to implement this methodology, this paper sends a practical, usable message to the industry.
Scarrott, Carl
in Magnox nuclear reactors l Establish safe operating limits l Issues: Subset of measurements ControlSpatial Spectral Estimation forSpatial Spectral Estimation for Reactor Modeling and ControlReactor Modeling and Control Carl Scarrott Granville Tunnicliffe-Wilson Lancaster University, UK c
Fernando Cardoso; Claudio Cuevas; Georgi Vodev
2011-11-28
We prove optimal high-frequency resolvent estimates for perturbations of the Laplacian by large long-range magnetic and electric potentials in all dimensions $n\\ge 3$. As an application, we prove dispersive estimates for the corresponding wave group in the case $n=3$.
Improving Estimation Accuracy of Aggregate Queries on Data Cubes
Pourabbas, Elaheh; Shoshani, Arie
2008-08-15
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.
Estimation of economic parameters of U.S. hydropower resources
Hall, Douglas G.; Hunt, Richard T.; Reeves, Kelly S.; Carroll, Greg R.
2003-06-01
Tools for estimating the cost of developing and operating and maintaining hydropower resources in the form of regression curves were developed based on historical plant data. Development costs that were addressed included: licensing, construction, and five types of environmental mitigation. It was found that the data for each type of cost correlated well with plant capacity. A tool for estimating the annual and monthly electric generation of hydropower resources was also developed. Additional tools were developed to estimate the cost of upgrading a turbine or a generator. The development and operation and maintenance cost estimating tools, and the generation estimating tool were applied to 2,155 U.S. hydropower sites representing a total potential capacity of 43,036 MW. The sites included totally undeveloped sites, dams without a hydroelectric plant, and hydroelectric plants that could be expanded to achieve greater capacity. Site characteristics and estimated costs and generation for each site were assembled in a database in Excel format that is also included within the EERE Library under the title, Estimation of Economic Parameters of U.S. Hydropower Resources - INL Hydropower Resource Economics Database.
A novel method for improving the accuracy of parameter estimates
Otter, Russell William
1985-01-01
-Squares Estimation Measures of Accuracy The Monte Carlo Study CHAPTER IV RESULTS FROM THE MONTE CARLO STUDY vi viii iX 10 21 24 26 28 28 33 40 44 The ULS Results The DSLS Results Comparison of ULS and DSLS 56 66 The Effect of The True Function... used in unbiased estimation are discussed as well as the measures used for this study. In the last section the Monte Carlo method is described in detail. Least-Squares Estimation This section examines the choice of the objective function...
Kernel regression estimates of time delays between gravitationally lensed fluxes
Otaibi, Sultanah AL; Cuevas-Tello, Juan C; Mandel, Ilya; Raychaudhury, Somak
2015-01-01
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.
Model Year 2012 Fuel Economy Guide: EPA Fuel Economy Estimates
2011-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.
Model Year 2011 Fuel Economy Guide: EPA Fuel Economy Estimates
2010-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.
Estimating the Attractor Dimension of the Equatorial Weather System
Melvin Leok Boon Tiong
1995-10-25
The correlation dimension and limit capacity serve theoretically as lower and upper bounds, respectively, of the fractal dimension of attractors of dynamic systems. In this paper, we show that estimates of the correlation dimension grow rapidly with increasing noise level in the time-series, while estimates of the limit capacity remain relatively unaffected. It is therefore proposed that the limit capacity be used in studies of noisy data, despite its heavier computational requirements. An analysis of Singapore wind data with the limit capacity estimate revealed a surprisingly low dimension (~2.5). It is suggested that further studies be made with comprehensive equatorial weather data.
Estimation of covariance matrix of macroscopic quantum states
Lszl Ruppert; Vladyslav C. Usenko; Radim Filip
2015-11-20
For systems analogous to a linear harmonic oscillator, the simplest way to characterize the state is by a covariance matrix containing the symmetrically-ordered moments of position and momentum. We show that without direct access to either position or momentum, the estimation of the covariance matrix of non-classical states is still possible using interference with a classical noisy and low- intensity reference and linear detection of energy. Such a detection technique will allow to estimate macroscopic quantum states of electromagnetic radiation without a coherent high-intensity local oscillator. It can be directly applied to estimate the covariance matrix of macroscopically bright squeezed states of light.
Model Year 2013 Fuel Economy Guide: EPA Fuel Economy Estimates
2012-12-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.
Estimation and Fate of New Production in the Marine Environment
McInnes, Allison Skinner
2014-06-03
The fate of carbon in the ocean determines both the amount of CO_(2) that can be sequestered and the amount of sustainable biomass. Compartmentalization into new and regenerated production allows a first order estimate of ...
Estimating Appliance and Home Electronic Energy Use | Department...
Broader source: Energy.gov (indexed) [DOE]
Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo...
Lane estimation for autonomous vehicles using vision and LIDAR
Huang, Albert Shuyu
2010-01-01
Autonomous ground vehicles, or self-driving cars, require a high level of situational awareness in order to operate safely and eciently in real-world conditions. A system able to quickly and reliably estimate the location ...
Propeller blade stress estimates using lifting line theory
Epps, Brenden P.
OpenProp, an open-source computational tool for the design and analysis of propellers and horizontal-axis turbines, is extended to provide estimates of normal stresses in the blades for both on- and off-design operating ...
Multiple phase estimation for arbitrary pure states under white noise
Yao Yao; Li Ge; Xing Xiao; Xiaoguang Wang; C. P. Sun
2014-09-08
In any realistic quantum metrology scenarios, the ultimate precision in the estimation of parameters is limited not only by the so-called Heisenberg scaling, but also the environmental noise encountered by the underlying system. In the context of quantum estimation theory, it is of great significance to carefully evaluate the impact of a specific type of noise on the corresponding quantum Fisher information (QFI) or quantum Fisher information matrix (QFIM). Here we investigate the multiple phase estimation problem for a natural parametrization of arbitrary pure states under white noise. We obtain the explicit expression of the symmetric logarithmic derivative (SLD) and hence the analytical formula of QFIM. Moreover, the attainability of the quantum Cram\\'{e}r-Rao bound (QCRB) is confirmed by the commutability of SLDs and the optimal estimators are elucidated for the experimental purpose. These findings generalize previously known partial results and highlight the role of white noise in quantum metrology.
A Fast Moving Horizon Estimation Algorithm Based on Nonlinear ...
2008-02-19
Department of Chemical Engineering, Carnegie Mellon University, 5000 ... Moving Horizon Estimation (MHE) is an efficient optimization-based strategy ...... concentrations of ethylene, butane, methane and impurities throughout the plant units.
Biosensor Arrays for Estimating Molecular Concentration in Fluid Flows
Abolfath-Beygi, Maryam
2011-01-01
This paper constructs dynamical models and estimation algorithms for the concentration of target molecules in a fluid flow using an array of novel biosensors. Each biosensor is constructed out of protein molecules embedded in a synthetic cell membrane. The concentration evolves according to an advection-diffusion partial differential equation which is coupled with chemical reaction equations on the biosensor surface. By using averaging theory methods and the divergence theorem, an approximate model is constructed that describes the asymptotic behaviour of the concentration as a system of ordinary differential equations. The estimate of target molecules is then obtained by solving a nonlinear least squares problem. It is shown that the estimator is strongly consistent and asymptotically normal. An explicit expression is obtained for the asymptotic variance of the estimation error. As an example, the results are illustrated for a novel biosensor built out of protein molecules.
Estimation of system reliability using a semiparametric model
Wu, Leon
An important problem in reliability engineering is to predict the failure rate, that is, the frequency with which an engineered system or component fails. This paper presents a new method of estimating failure rate using ...
System to estimate ages and redshifts for radio galaxies
O. V. Verkhodanov; A. I. Kopylov; N. V. Verkhodanova; O. P. Zhelenkova; V. N. Chernenkov; Yu. N. Parijskij; N. S. Soboleva; A. V. Temirova
2001-12-06
The system allowing a user to operate with simulated curves of spectral energy distribution (SED) and to estimate ages and redshifts by photometric data at server {\\bf sed.sao.ru} is described.
Piecewise Convex Function Estimation: Representations, Duality and Model Selection
functionals correspond to variable halfwidth data-adaptive kernels, i.e. the e#11;ective halfwidth decreasesPiecewise Convex Function Estimation: Representations, Duality and Model Selection Kurt S. Riedel
Estimating the Actual Cost of Transmission System Congestion
with electric transmission. One such component is transmission system conEstimating the Actual Cost of Transmission System Congestion Thomas J. Overbye Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana, IL 61801 USA overbye
FAST CONDITION ESTIMATION FOR A CLASS OF STRUCTURED ...
2009-01-22
problems. The estimation algorithm costs O(n2) flops for all eigenvalues, ... matrix [3] (a matrix C is said to be rank symmetric if for any 2 2 block partition of.
Chapter 1: Estimating prospective benefits of EERE's portfolio
None, None
2009-01-18
Document summarizes the results of the benefits analysis of EEREs programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.
Identification and Estimation of a Discrete Game of Complete Information
Bajari, Patrick
We discuss the identification and estimation of discrete games of complete information. Following Bresnahan and Reiss (1990, 1991), a discrete game is a generalization of a standard discrete choice model where utility ...
Error estimation and adaptive mesh refinement for aerodynamic flows
Hartmann, Ralf
Error estimation and adaptive mesh refinement for aerodynamic flows Ralf Hartmann1 and Paul Houston, 38108 Braunschweig, Germany Ralf.Hartmann@dlr.de 2 School of Mathematical Sciences University
MULTITARGET ERROR ESTIMATION AND ADAPTIVITY IN AERODYNAMIC FLOW SIMULATIONS
Hartmann, Ralf
MULTITARGET ERROR ESTIMATION AND ADAPTIVITY IN AERODYNAMIC FLOW SIMULATIONS RALF HARTMANN of Scientific Computing, TU Braunschweig, Germany (Ralf.Hartmann@dlr.de). 1 #12; 2 R. HARTMANN
Error estimation and adaptive mesh refinement for aerodynamic flows
Hartmann, Ralf
Error estimation and adaptive mesh refinement for aerodynamic flows Ralf Hartmann, Joachim Held), Lilien- thalplatz 7, 38108 Braunschweig, Germany, e-mail: Ralf.Hartmann@dlr.de 1 #12;2 Ralf Hartmann
MULTITARGET ERROR ESTIMATION AND ADAPTIVITY IN AERODYNAMIC FLOW SIMULATIONS
Hartmann, Ralf
MULTITARGET ERROR ESTIMATION AND ADAPTIVITY IN AERODYNAMIC FLOW SIMULATIONS RALF HARTMANN Abstract, Germany (Ralf.Hartmann@dlr.de). 1 #12;2 R. HARTMANN quantity under consideration. However, in many
Estimation of dibaryon (OO) yields at RHIC energies
Zhong-Dao Lu
2002-07-02
The yields of dibaryon (Omega-Omega) in relativistic heavy ion collisions, especially at RHIC energies, are estimated by statistical model. The yields of hyperon Omega- and the ratio of dibaryon to Omega are also given.
Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications
Garcia, Tanya
2012-10-19
Many statistical models, like measurement error models, a general class of survival models, and a mixture data model with random censoring, are semiparametric where interest lies in estimating finite-dimensional parameters ...
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01
This paper considers fixed effects estimation and inference in linear and nonlinear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of ...
FAPRI-UMC Report #01-07 Estimating Water Quality,
Carbon and Carbon Sequestration...................................10 CRP EffectsFAPRI-UMC Report #01-07 Estimating Water Quality, Air Quality, and Soil Carbon Benefits Quality, Air Quality, and Soil Carbon Benefits of the Conservation Reserve Program FAPRI-UMC Report #01
Temperature estimates from zircaloy oxidation kinetics and microstructures. [PWR
Olsen, C.S.
1982-10-01
This report reviews state-of-the-art capability to determine peak zircaloy fuel rod cladding temperatures following an abnormal temperature excursion in a nuclear reactor, based on postirradiation metallographic analysis of zircaloy microstructural and oxidation characteristics. Results of a comprehensive literature search are presented to evaluate the suitability of available zircaloy microstructural and oxidation data for estimating anticipated reactor fuel rod cladding temperatures. Additional oxidation experiments were conducted to evaluate low-temperature zircaloy oxidation characteristics for postirradiation estimation of cladding temperature by metallographic examination. Results of these experiments were used to calculate peak cladding temperatures of electrical heater rods and nuclear fuel rods that had been subjected to reactor temperature transients. Comparison of the calculated and measured peak cladding temperatures for these rods indicates that oxidation kinetics is a viable technique for estimating peak cladding temperatures over a broad temperature range. However, further improvement in zircaloy microstructure technology is necessary for precise estimation of peak cladding temperatures by microstructural examination.
Mesoscale predictability and background error convariance estimation through ensemble forecasting
Ham, Joy L
2002-01-01
Over the past decade, ensemble forecasting has emerged as a powerful tool for numerical weather prediction. Not only does it produce the best estimate of the state of the atmosphere, it also could quantify the uncertainties ...
Estimating A Shear Modulus Of A Transversely Isotropic Formation
Ellefsen, K. J.
1990-01-01
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 ...
Challenges for improving estimates of soil organic carbon stored...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Challenges for improving estimates of soil organic carbon stored in permafrost regions September 30, 2013 Tweet EmailPrint One of the greatest environmental challenges of the 21st...
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
that was built for the US Environmental Protection Agency (EPA) by Synapse Energy Economics can ease this task. It is a free, open-access tool that estimates the hourly...
Neptunium estimation in dissolver and high-level-waste solutions
Pathak, P.N.; Prabhu, D.R.; Kanekar, A.S.; Manchanda, V.K.
2008-07-01
This papers deals with the optimization of the experimental conditions for the estimation of {sup 237}Np in spent-fuel dissolver/high-level waste solutions using thenoyltrifluoroacetone as the extractant. (authors)
Estimation of food consumption. Hanford Environmental Dose Reconstruction Project
Callaway, J.M. Jr.
1992-04-01
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
Brush Busters: How to Estimate Costs for Controlling Small Cedar
Ueckert, Darrell; McGinty, Allan
2001-04-25
Simple directions help you determine the density of cedar on rangeland or improved pastures, and then estimate the cost of controlling these plants with any of the three Brush Busters methods.
Brush Busters: How to Estimate Costs for Controlling Small Mesquite
Ueckert, Darrell; McGinty, Allan
1999-04-15
This publication includes simple directions for determining the density of mesquite and then estimating the cost of controlling these plants with either the leaf spray or stem spray method.
Spatial correlation structure estimation using geophysical and hydrogeological data
Hubbard, Susan
and sufficient hydraulic property measurements using conventional sampling techniques, render estimation the spatial correlation structure of these properties using these conventional field sampling techniques) hydrological techniques require drilling, and the installed wells change the nature of the flow processes
Bearing estimation techniques for improved performance spread spectrum receivers
Thompson, John S
The main topic of this thesis is the use of bearing estimation techniques combined with multiple antenna elements for spread spectrum receivers. The motivation behind this work is twofold: firstly, this type of receiver structure may offer...
A reconciled estimate of ice-sheet mass balance
2012-01-01
Estimate of Ice-Sheet Mass Balance Andrew Shepherd, 1 * Erikand models of surface mass balance and glacial isostaticThis Ice Sheet Mass Balance Exercise (IMBIE) was facilitated
Ultra High Frequency Volatility Estimation with Dependent Microstructure Noise
Ultra High Frequency Volatility Estimation with Dependent Microstructure Noise Yacine At sampled at frequencies high enough for that noise to be a dominant consideration. We show that combining; Serial dependence; High frequency data; Realized volatility; Sub- sampling; Two Scales Realized
Direct estimation of gas reserves using production data
Buba, Ibrahim Muhammad
2004-09-30
This thesis presents the development of a semi-analytical technique that can be used to estimate the gas-in-place for volumetric gas reservoirs. This new methodology utilizes plotting functions, plots, extrapolations, ...
Estimating Industrial Electricity Conservation Potential in the Pacific Northwest
Limaye, D. R.; Hinkle, B. K.; Lang, K.
1982-01-01
in each industry group. The plant level conservation estimates were extrapolated to the 4-digit and 2-digit SIC levels. An analysis of the market penetration of each conservation measure was performed using a distribution of desired rates of return...
Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled
Reports and Publications (EIA)
2000-01-01
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.
Some methods of estimating uncertainty in accident reconstruction
Milan Batista
2011-07-20
In the paper four methods for estimating uncertainty in accident reconstruction are discussed: total differential method, extreme values method, Gauss statistical method, and Monte Carlo simulation method. The methods are described and the program solutions are given.
Reassessing Wind Potential Estimates for India: Economic and Policy Implications
Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet
2011-09-15
We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios one with no farmland included, the other with all farmland included. Under the no farmland included case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the all farmland included case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.
U.S. Uranium Reserves Estimates - Energy Information Administration
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
all Nuclear Reports U.S. Uranium Reserves Estimates Data for: 2008 | Release Date: July 2010 | Next Release Date: Discontinued The U.S. Energy Information Administration (EIA) has...
Estimating material and energy intensities of urban areas
Quinn, David James, Ph. D. Massachusetts Institute of Technology
2012-01-01
The objective of this thesis is to develop methods to estimate, analyze and visualize the resource intensity of urban areas. Understanding the resource consumption of the built environment is particularly relevant in cities ...
Biomass Power Generation Market Capacity is Estimated to Reach...
Biomass Power Generation Market Capacity is Estimated to Reach 122,331.6 MW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150)...
April 9, 2002 STATISTICAL ESTIMATES FOR THE NAVIER-STOKES
Jolly, Michael S.
rigorous support for Kraichnan's eddy breakup mechanism. A rigorous estimate for the total energy is found by NSF grant number DMS-0074460, CNPq, Bras#19;#16;lia, Brazil, and FAPERJ, Rio de Janeiro, Brazil. Much
Preliminary relative permeability estimates of methanehydrate-bearing sand
Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.
2006-05-08
The relative permeability to fluids in hydrate-bearing sediments is an important parameter for predicting natural gas production from gas hydrate reservoirs. We estimated the relative permeability parameters (van Genuchten alpha and m) in a hydrate-bearing sand by means of inverse modeling, which involved matching water saturation predictions with observations from a controlled waterflood experiment. We used x-ray computed tomography (CT) scanning to determine both the porosity and the hydrate and aqueous phase saturation distributions in the samples. X-ray CT images showed that hydrate and aqueous phase saturations are non-uniform, and that water flow focuses in regions of lower hydrate saturation. The relative permeability parameters were estimated at two locations in each sample. Differences between the estimated parameter sets at the two locations were attributed to heterogeneity in the hydrate saturation. Better estimates of the relative permeability parameters require further refinement of the experimental design, and better description of heterogeneity in the numerical inversions.
Preliminary relative permeability estimates of methanehydrate-bearing sand
Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.
2006-05-08
The relative permeability to fluids in hydrate-bearingsediments is an important parameter for predicting natural gas productionfrom gas hydrate reservoirs. We estimated the relative permeabilityparameters (van Genuchten alpha and m) in a hydrate-bearing sand by meansof inverse modeling, which involved matching water saturation predictionswith observations from a controlled waterflood experiment. We used x-raycomputed tomography (CT) scanning to determine both the porosity and thehydrate and aqueous phase saturation distributions in the samples. X-rayCT images showed that hydrate and aqueous phase saturations arenon-uniform, and that water flow focuses in regions of lower hydratesaturation. The relative permeability parameters were estimated at twolocations in each sample. Differences between the estimated parametersets at the two locations were attributed to heterogeneity in the hydratesaturation. Better estimates of the relative permeability parametersrequire further refinement of the experimental design, and betterdescription of heterogeneity in the numerical inversions.
Appendix C: Biomass Program inputs for FY 2008 benefits estimates
None, None
2009-01-18
Document summarizes the results of the benefits analysis of EEREs programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.
Estimates of U.S. Biomass Energy Consumption 1992
Reports and Publications (EIA)
1994-01-01
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 U.S. economy. It presents estimates of 1991 and 1992 consumption.
Simulation-based comparison of TCP retransmission timeout estimators
Shankarkumar, Vinaychandra
2000-01-01
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 ...
Precipitable water structure in tropical systems as estimated from TOVS
Hatfield, Eric
1994-01-01
The spatial and temporal structures of precipitable water (pW) in tropical systems are estimated using TIROS Operational Vertical Sounder (TOVS) radiances over ten cool seasons and two entire years. Statistical regression ...
Observational tests of hurricane intensity estimations using GPS radio occultations
Vergados, Panagiotis
This study presents a novel approach to estimating the intensity of hurricanes using temperature profiles from Global Positioning System radio occultation (GPSRO) measurements. Previous research has shown that the temperature ...
UWB channel estimation using new generating TR transceivers
Nekoogar, Faranak (San Ramon, CA); Dowla, Farid U. (Castro Valley, CA); Spiridon, Alex (Palo Alto, CA); Haugen, Peter C. (Livermore, CA); Benzel, Dave M. (Livermore, CA)
2011-06-28
The present invention presents a simple and novel channel estimation scheme for UWB communication systems. As disclosed herein, the present invention maximizes the extraction of information by incorporating a new generation of transmitted-reference (Tr) transceivers that utilize a single reference pulse(s) or a preamble of reference pulses to provide improved channel estimation while offering higher Bit Error Rate (BER) performance and data rates without diluting the transmitter power.
Estimating demolition cost of plutonium buildings for dummies
Tower, S.E.
2000-07-01
The primary purpose of the Rocky Flats Field Office of the US Department of Energy is to decommission the entire plant. In an effort to improve the basis and the accuracy of the future decommissioning cost, Rocky Flats has developed a powerful but easy-to-use tool to determine budget cost estimates to characterize, decontaminate, and demolish all its buildings. The parametric cost-estimating tool is called the Facilities Disposition Cost Model (FDCM).
Uncertainty Quantification and Calibration in Well Construction Cost Estimates
Valdes Machado, Alejandro
2013-08-05
, it is possible to assess the probabilities of cost overruns, understand the accuracy of the estimates and provide identification of risk factors in the well construction operations. Capen (1976) claimed we have not learned to successfully deal with uncertainty... of the project. Both issues contribute to inefficient capital budgeting. Using a probabilistic methodology is not sufficient to assess the uncertainty reliably. Look-backs, which are based on the analysis of past estimations, are required to provide more...
Mesoscale ensemble-based data assimilation and parameter estimation
Aksoy, Altug
2005-11-01
-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...
Estimating propagation velocity through a surface acoustic wave sensor
Xu, Wenyuan (Oakdale, MN); Huizinga, John S. (Dellwood, MN)
2010-03-16
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.
Using percolation techniques to estimate interwell connectivity probability
Li, Weiqiang
2009-06-02
results for fluid travel time between locations in a percolation model, we developed a method to estimate interwell connectivity. Three parameters are needed to use this approach: the sandbody occupied probability sand p , the dimensionless reservoir... and can estimate the interwell connectivity accurately for thin intervals with sand p in the 60% to 80% range. The proposed method requires that the reservoir interval for evaluation be sufficiently thin so that 2D percolation results can...
Estimation and specification tests of count data recreation demand functions
Gomez, Irma Adriana
1991-01-01
ESTIMATION AND SPECIFICATION TESTS OF COUNT DATA RECREATION DEMAND FUNCTIONS A Thesis IRMA ADRIANA GOMEZ Submitted to the Office of Graduate Studies of Texas A8cM University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE December 1991 Major Subject: Agricultural Economics ESTIMATION AND SPECIFICATION TESTS OF COUNT DATA RECREATION DEMAND FUNCTIONS A Thesis by IRMA ADRIANA GOMEZ Approved as to style and content by: T o a, Jr. (C a' of Committee) Lonnie...
An Improved Virial Estimate of Solar Active Region Energy
M. S. Wheatland; T. R. Metcalf
2005-09-21
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.
Verification of unfold error estimates in the unfold operator code
Fehl, D.L.; Biggs, F.
1997-01-01
Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}
Atmospheric Inverse Estimates of Methane Emissions from Central California
Zhao, Chuanfeng; Andrews, Arlyn E.; Bianco, Laura; Eluszkiewicz, Janusz; Hirsch, Adam; MacDonald, Clinton; Nehrkorn, Thomas; Fischer, Marc L.
2008-11-21
Methane mixing ratios measured at a tall-tower are compared to model predictions to estimate surface emissions of CH{sub 4} in Central California for October-December 2007 using an inverse technique. Predicted CH{sub 4} mixing ratios are calculated based on spatially resolved a priori CH{sub 4} emissions and simulated atmospheric trajectories. The atmospheric trajectories, along with surface footprints, are computed using the Weather Research and Forecast (WRF) coupled to the Stochastic Time-Inverted Lagrangian Transport (STILT) model. An uncertainty analysis is performed to provide quantitative uncertainties in estimated CH{sub 4} emissions. Three inverse model estimates of CH{sub 4} emissions are reported. First, linear regressions of modeled and measured CH{sub 4} mixing ratios obtain slopes of 0.73 {+-} 0.11 and 1.09 {+-} 0.14 using California specific and Edgar 3.2 emission maps respectively, suggesting that actual CH{sub 4} emissions were about 37 {+-} 21% higher than California specific inventory estimates. Second, a Bayesian 'source' analysis suggests that livestock emissions are 63 {+-} 22% higher than the a priori estimates. Third, a Bayesian 'region' analysis is carried out for CH{sub 4} emissions from 13 sub-regions, which shows that inventory CH{sub 4} emissions from the Central Valley are underestimated and uncertainties in CH{sub 4} emissions are reduced for sub-regions near the tower site, yielding best estimates of flux from those regions consistent with 'source' analysis results. The uncertainty reductions for regions near the tower indicate that a regional network of measurements will be necessary to provide accurate estimates of surface CH{sub 4} emissions for multiple regions.
Surface daytime net radiation estimation using artificial neural networks
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang
2014-11-11
Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 19912010moreboth in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 Wm2 , and a bias of 0.61 Wm2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.less
Estimation of uncertainty for contour method residual stress measurements
Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.
2014-12-03
This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulness of the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 76 mm, the estimated uncertainty was approximately 5 MPa (?/E = 7 10??) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (?/E = 14 10??).
Estimation of uncertainty for contour method residual stress measurements
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.
2014-12-03
This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulnessmoreof the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 76 mm, the estimated uncertainty was approximately 5 MPa (?/E = 7 10??) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (?/E = 14 10??).less
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)
2013-06-20
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.
SECPOP90: Sector population, land fraction, and economic estimation program
Humphreys, S.L.; Rollstin, J.A.; Ridgely, J.N.
1997-09-01
In 1973 Mr. W. Athey of the Environmental Protection Agency wrote a computer program called SECPOP which calculated population estimates. Since that time, two things have changed which suggested the need for updating the original program - more recent population censuses and the widespread use of personal computers (PCs). The revised computer program uses the 1990 and 1992 Population Census information and runs on current PCs as {open_quotes}SECPOP90.{close_quotes} SECPOP90 consists of two parts: site and regional. The site provides population and economic data estimates for any location within the continental United States. Siting analysis is relatively fast running. The regional portion assesses site availability for different siting policy decisions; i.e., the impact of available sites given specific population density criteria within the continental United States. Regional analysis is slow. This report compares the SECPOP90 population estimates and the nuclear power reactor licensee-provided information. Although the source, and therefore the accuracy, of the licensee information is unknown, this comparison suggests SECPOP90 makes reasonable estimates. Given the total uncertainty in any current calculation of severe accidents, including the potential offsite consequences, the uncertainty within SECPOP90 population estimates is expected to be insignificant. 12 refs., 55 figs., 7 tabs.
Vision-based head pose estimation and interactivity analysis : algorithms, systems and evaluation
Murphy-Chutorian, Erik Marshall
2009-01-01
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
Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations
Konopacki, S.J.
2010-01-01
4. Figure 5-5. 1993 Electricity Consumption Estimates by EndkWh/ft ) 1993 Electricity Consumption Estimates by End Useof Total) 1993 Electricity Consumption Estimates by End Use
EFFICIENT NONPARAMETRIC DENSITY ESTIMATION ON THE SPHERE WITH APPLICATIONS IN FLUID MECHANICS
Egecioglu, mer
EFFICIENT NONPARAMETRIC DENSITY ESTIMATION ON THE SPHERE WITH APPLICATIONS IN FLUID MECHANICS OMER density, nonparametric estimation, fluid mechanics, convergence, kernel method, efficient algorithm AMS, an important application of nonparametric density estimation is in computational fluid mechanics. When the flow
Scott, Clayton
A Rate of Convergence for Mixture Proportion Estimation, with Application to Learning from Noisy Labels Clayton Scott University of Michigan, Department of EECS Abstract Mixture proportion estimation efficacy in classification with noisy labels. 1 Introduction Mixture proportion estimation (MPE
Improved measurement placement and topology processing in power system state estimation
Wu, Yang
2009-06-02
State estimation plays an important role in modern power system energy management systems. The network observability is a pre-requisite for the state estimation solution. Topological error in the network may cause the state estimation results...
Model Year 2006 Fuel Economy Guide: EPA Fuel Economy Estimates
2005-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2005 Fuel Economy Guide: EPA Fuel Economy Estimates
2004-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2010 Fuel Economy Guide: EPA Fuel Economy Estimates
2009-10-14
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2007 Fuel Economy Guide: EPA Fuel Economy Estimates
2007-10-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Non-parametric estimation of Fisher information from real data
Shemesh, Omri Har; Miano, Borja; Hoekstra, Alfons G; Sloot, Peter M A
2015-01-01
The Fisher Information matrix is a widely used measure for applications ranging from statistical inference, information geometry, experiment design, to the study of criticality in biological systems. Yet there is no commonly accepted non-parametric algorithm to estimate it from real data. In this rapid communication we show how to accurately estimate the Fisher information in a nonparametric way. We also develop a numerical procedure to minimize the errors by choosing the interval of the finite difference scheme necessary to compute the derivatives in the definition of the Fisher information. Our method uses the recently published "Density Estimation using Field Theory" algorithm to compute the probability density functions for continuous densities. We use the Fisher information of the normal distribution to validate our method and as an example we compute the temperature component of the Fisher Information Matrix in the two dimensional Ising model and show that it obeys the expected relation to the heat capa...
Inter-sensor propagation delay estimation using sources of opportunity
Vincent, Rmy; Michel, Olivier; Lacoume, Jean-Louis
2015-01-01
Propagation delays are intensively used for Structural Health Monitoring or Sensor Network Localization. In this paper, we study the performances of acoustic propagation delay estimation between two sensors, using sources of opportunity only. Such sources are defined as being uncontrolled by the user (activation time, location, spectral content in time and space), thus preventing the direct estimation with classical active approaches, such as TDOA, RSSI and AOA. Observation models are extended from the literature to account for the spectral characteristics of the sources in this passive context and we show how time-filtered sources of opportunity impact the retrieval of the propagation delay between two sensors. A geometrical analogy is then proposed that leads to a lower bound on the variance of the propagation delay estimation that accounts for both the temporal and the spatial properties of the sources field.
Estimate of resources required for a meaningful reform of education
Glazek, Stanislaw D
2012-01-01
A simple estimate in terms of currency units shows that a meaningful educational reform process can be launched and sustained over many generations of teachers with support of parents of students. In the estimate, the steady inflow of resources from parents provides support for advanced studies by teachers. Not to waste the resources on spurious activities, the estimated inflow proceeds directly from the parents as clients to the providers of required reform program. The providers are the experts in various disciplines who excel in helping teachers become great. Their services to teachers are ultimately assessed by parents on the basis of changes in behavior of children. The resulting reform program grows slowly from small seeds. The running cost of the reform process to parents appears surprisingly low while its development leads to the desired changes over time.
Model Year 2015 Fuel Economy Guide: EPA Fuel Economy Estimates
2014-12-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2009 Fuel Economy Guide: EPA Fuel Economy Estimates
2008-10-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2008 Fuel Economy Guide: EPA Fuel Economy Estimates
2007-10-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2016 Fuel Economy Guide: EPA Fuel Economy Estimates
2015-11-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Model Year 2014 Fuel Economy Guide: EPA Fuel Economy Estimates
2013-12-01
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Estimating Externalities of Natural Gas Fuel Cycles, Report 4
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.
1998-01-01
This report describes methods for estimating the external costs (and possibly benefits) to human health and the environment that result from natural gas fuel cycles. Although the concept of externalities is far from simple or precise, it generally refers to effects on individuals' well being, that result from a production or market activity in which the individuals do not participate, or are not fully compensated. In the past two years, the methodological approach that this report describes has quickly become a worldwide standard for estimating externalities of fuel cycles. The approach is generally applicable to any fuel cycle in which a resource, such as coal, hydro, or biomass, is used to generate electric power. This particular report focuses on the production activities, pollution, and impacts when natural gas is used to generate electric power. In the 1990s, natural gas technologies have become, in many countries, the least expensive to build and operate. The scope of this report is on how to estimate the value of externalities--where value is defined as individuals' willingness to pay for beneficial effects, or to avoid undesirable ones. This report is about the methodologies to estimate these externalities, not about how to internalize them through regulations or other public policies. Notwithstanding this limit in scope, consideration of externalities can not be done without considering regulatory, insurance, and other considerations because these institutional factors affect whether costs (and benefits) are in fact external, or whether they are already somehow internalized within the electric power market. Although this report considers such factors to some extent, much analysis yet remains to assess the extent to which estimated costs are indeed external. This report is one of a series of reports on estimating the externalities of fuel cycles. The other reports are on the coal, oil, biomass, hydro, and nuclear fuel cycles, and on general methodology.
Integral Operators Basic in Random Fields Estimation Theory
Alexander Kozhevnikov; Alexander G. Ramm
2004-05-03
The paper deals with the basic integral equation of random field estimation theory by the criterion of minimum of variance of the error estimate. This integral equation is of the first kind. The corresponding integra$ operator over a bounded domain $\\Omega $ in ${\\Bbb R}^{n}$ is weakly singular. This operator is an isomorphism between appropriate Sobolev spaces. This is proved by a reduction of the integral equ$ an elliptic boundary value problem in the domain exterior to $\\Omega .$ Extra difficulties arise due to the fact that the exterior boundary value problem should be solved in the Sobolev spaces of negative order.
Deriving Atmospheric Density Estimates Using Satellite Precision Orbit Ephemerides
Hiatt, Andrew Timothy
2009-01-01
due to atmospheric drag m/s2 ap geomagnetic 3-hourly planetary equivalent amplitude index gamma, Telsa, or kg s m-1 A satellite cross-sectional area m2 Ap geomagnetic daily planetary amplitude index gamma, Telsa, or kg s m-1 B B? estimated... due to atmospheric drag m/s2 ap geomagnetic 3-hourly planetary equivalent amplitude index gamma, Telsa, or kg s m-1 A satellite cross-sectional area m2 Ap geomagnetic daily planetary amplitude index gamma, Telsa, or kg s m-1 B B? estimated...
Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint
Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.
2013-05-01
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.
Design of a robust parameter estimator for nominally Laplacian noise
Bhagawat, Pankaj
2004-09-30
of standard deviation. 5 CHAPTER II MAXIMUM LIKELIHOOD ESTIMATOR(ML)FOR LAPLACIAN DATA The probability distribution function for Laplacian noise is given by f(x) = de jxj a c (2.1) where c = 2 and d = 12 (2.2) where is the standard deviation. In this work...jxj; jxj < +k p2k; x < k (3.21) Also notice that the parameter to be estimated for Laplacian data is its standard deviation ; thus, should be replaced by . The speci c integral parts for the Laplace distribution of the equation (3.20) can now...
Tyre curve estimation in slip-controlled braking
Miller, Jonathan I.; Cebon, David
2015-06-09
identifying a Kalman filter observer for vehicle handling dynamics. IMECHE Part D J. of Auto. Eng. 2006; 220: 10631072. 27. Yi J et al. Emergency braking control with an observer-based dynamic tire/road friction model and wheel angular velocity... also used by Shim et al.15, and Hong et al.16 Unsal and Kachroo17 compared an EKF with a sliding mode observer to estimate vehicle velocity, using this estimated velocity with a nominal slip-friction curve to determine the braking force. The authors...
Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review
2011-10-01
This independent review is the conclusion arrived at from data collection, document reviews, interviews and deliberation from December 2010 through April 2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification. The Panel reviewed the current H2A case (Version 2.12, Case 01D) for hydrogen production via biomass gasification and identified four principal components of hydrogen levelized cost: CapEx; feedstock costs; project financing structure; efficiency/hydrogen yield. The panel reexamined the assumptions around these components and arrived at new estimates and approaches that better reflect the current technology and business environments.
Estimation of the Mass Outflow Rate From Compact Objects
Sandip K. Chakrabarti
1998-12-02
Outflows are common in many astrophysical systems which contain black holes and neutron stars. Difference between stellar outflows and outflows from these systems is that the outflows in these systems have to form out of the inflowing material only. The inflowing material can form a hot and dense cloud surrounding the compact object either because of centrifugal barrier or a denser barrier due to pair plasma or pre-heating effects. This barrier behaves like a stellar surface as far as the mass loss is concerned. We estimate the outflow rate from such considerations. These estimated rates roughly match with the rates in real observations as well as those obtained from numerical experiments.
Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)
U.S. Energy Information Administration (EIA) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of theCubicEstimation ResultsYearYear Jan Feb MarEstimated
Yardim, Caglar; Gerstoft, Peter; Hodgkiss, William S.
2007-01-01
Estimating evaporation duct heights from radar sea echo,Estimation of surface-based duct parameters from surfaceapplication of an evaporation duct model, Radio Science,
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water...
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01
applied to indicators like SAIDI and SAIFI for purposes ofperformance (e.g. , SAIFI and SAIDI); estimate partialperformance (e.g. , SAIFI and SAIDI); estimate partial
Goal-oriendted local a posteriori error estimator for H(div)
2011-12-15
Dec 15, 2011 ... error estimator measures the pollution effect from the outside region of D ... error estimators which account for and quantify the pollution effect.
Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings
Fridley, David G.
2008-01-01
Estimating Total Energy Consumption and Emissions of Chinasof Chinas total energy consumption mix. However, accuratelyof Chinas total energy consumption, while others estimate
On Energy for Progressive and Consensus Estimation in Multihop Sensor Networks
Huang, Yi; Hua, Yingbo
2011-01-01
estimation in energy-constrained wireless sensor networks,Hua, Energy cost for estimation in multihop wireless sensorcomputing, and wireless communication. Although the energy
Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
2008 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update This report estimates fuel cell system cost for systems...
Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
2007 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update This report estimates fuel cell system cost for systems...
Biofuel Boundaries: Estimating the Medium-Term Supply Potential of Domestic Biofuels
Jones, Andrew; O'Hare, Michael; Farrell, Alexander
2007-01-01
Biofuel Boundaries: Estimating the Medium-Term SupplyAugust 22, 2007 Biofuel Boundaries: Estimating the Medium-significant amount of liquid biofuel (equivalent to 30-100%
Estimation of Biomass Heat Storage Using Thermal Infrared Imagery: Application to a Walnut Orchard
Garai, Anirban; Kleissl, Jan; Llewellyn Smith, Stefan G.
2010-01-01
NOTE Estimation of Biomass Heat Storage Using Thermalmethod to estimate tree biomass heat storage from thermalinfrared (TIR) imaging of biomass surface temperature is
Estimating U.S. Methane Emissions from the Natural Gas Supply...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
is to develop the empirical foundation for activity factor uncertainty estimation. 6. Transparency and credibility of inventory estimates can be improved by bolstering...