Property:EstimatedCostMedianUSD | 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.
Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Greensburg, Kansas. USD 422 Greensburg K-12 School (Revised) (Brochure), Energy Efficiency & Renewable Energy (EERE) Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg...
Property:EstimatedCostHighUSD | Open Energy Information
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Property:EstimatedCostLowUSD | Open Energy Information
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Rebuilding It Better: Greensburg, Kansas, USD 422 Greensburg K-12 School (Revised) (Brochure)
Not Available
2011-04-01T23:59:59.000Z
This brochure details the energy efficient and sustainable aspects of the USD 422 K-12 school in Greensburg, Kansas.
USD 373 Walton Rural Life Wind Project | Open Energy Information
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USD 440 Halstead Schools Wind Project | Open Energy Information
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Kirschner, Denise
The MVR fee for all other states, US territories and provinces is as follows: State/Province Fee (USD) State/Province Fee (USD) Alabama $11.25 North Carolina $11.50 Alaska $8.50 North Dakota.50 Georgia $11.50 Tennessee $10.50 Hawaii $26.50 Texas $10.00 Idaho $12.50 Utah $12.50 Illinois
Dynamic Code Overlay of SDF-Modeled Programs on Low-end Embedded Systems
Ha, Soonhoi
Dynamic Code Overlay of SDF-Modeled Programs on Low-end Embedded Systems Hae-woo Park Kyoungjoo Oh of synchronous data-flow (SDF) Âmodeled program for low-end embedded systems which lack MMU- support-program code, dynamic loader and linker script files from the given SDF- modeled blocks and schematic, so we
Oil Spill Management Market is Estimated to Reach USD 114,441...
from the well, resulting in an oil spill. Increased drilling activities in deepwater and ultra-deepwater regions with extreme and erratic well pressure are one of the major...
Global expenditure on subsea manifolds is estimated to reach USD 3,716.42
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Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 |
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Oil Spill Management Market is Estimated to Reach USD 114,441.1 Million by
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Biomass Power Generation Market Capacity is Estimated to Reach...
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)...
Perwej, Yusuf; 10.5121/ijcsea.2012.2204
2012-01-01T23:59:59.000Z
A large part of the workforce, and growing every day, is originally from India. India one of the second largest populations in the world, they have a lot to offer in terms of jobs. The sheer number of IT workers makes them a formidable travelling force as well, easily picking up employment in English speaking countries. The beginning of the economic crises since 2008 September, many Indians have return homeland, and this has had a substantial impression on the Indian Rupee (INR) as liken to the US Dollar (USD). We are using numerational knowledge based techniques for forecasting has been proved highly successful in present time. The purpose of this paper is to examine the effects of several important neural network factors on model fitting and forecasting the behaviours. In this paper, Artificial Neural Network has successfully been used for exchange rate forecasting. This paper examines the effects of the number of inputs and hidden nodes and the size of the training sample on the in-sample and out-of-sample...
Property:EstimatedTime | Open Energy Information
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Property:EstimatedTimeHigh | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,PillarPublicationTypeEstimatedCostMedianUSD Jump to: navigation,EstimatedTimeHigh
Property:EstimatedTimeMedian | Open Energy Information
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Property:EstimatedTimeExplained | Open Energy Information
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Property:EstimatedTimeLow | Open Energy Information
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USD Catalysis Group for Alternative Energy
James D. Hoefelmeyer, Ranjit Koodali, Grigoriy Sereda, Dan Engebretson, Hao Fong, Jan Puszynski, Rajesh Shende, Phil Ahrenkiel
2012-03-13T23:59:59.000Z
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.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.
Turkey Marine Lubricants Market is Expected to Reach USD 177...
base oil production is anticipated to hinder the overall market growth. As, Group I base oil form one of the impeccable raw materials required for manufacturing marine lubricants....
Floating Production Systems Market Is Expected To Reach USD 38...
such as Royal Dutch Shell Plc, Petrobras and ENI are using FPSO to extract crude oil from offshore fields. FSO accounted for a moderate share of the total FPS market,...
Marine Hybrid Propulsion Market Revenue is anticipated to Reach USD
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USD 307 Ell-Saline Wind Project | Open Energy Information
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USD 345 Seaman High School 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project Jump
USD 375 Circle High School 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project
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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Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
This chapter focuses on the components (or elements) of the cost estimation package and their documentation.
Check Estimates and Independent Costs
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
The chapter describes the estimates required on government-managed projects for both general construction and environmental management.
Systems Engineering Cost Estimation
Bryson, Joanna J.
on project, human capital impact. 7 How to estimate Cost? Difficult to know what we are building early on1 Systems Engineering Lecture 3 Cost Estimation Dr. Joanna Bryson Dr. Leon Watts University of Bath: Contrast approaches for estimating software project cost, and identify the main sources of cost
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.
Cooling load estimation methods
McFarland, R.D.
1984-01-01T23:59:59.000Z
Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.
PCB: Physically Changeable Bit for Preserving Privacy in Low-End RFID Tags
Zou, Cliff C.
of consumers, e.g., "smart" home appliances that can automatically check and alert users of food-frequency identification (RFID) tags in consumer market. To tackle this privacy issue, a simple and ef- fective approach-end RFID tags in consumer market, where each tag is supposed to be 5 cents or less, it is very hard to use
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2011-05-09T23:59:59.000Z
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.
1992-04-01T23:59:59.000Z
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
Operated device estimation framework
Rengarajan, Janarthanan
2009-05-15T23:59:59.000Z
Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution...
FY 2015 FY 2016 FY 2017 FY 2013 President's Budget Request 3,821.2 3,712.8 3,932.8 4,076.5 4,076.5 4 Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014 FY 2015 FY 2016 FY 2017 FY 2013EXPLORATION EXP-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014
MELE: Maximum Entropy Leuven Estimators
Paris, Quirino
2001-01-01T23:59:59.000Z
of the Generalized Maximum Entropy Estimator of the Generaland Douglas Miller, Maximum Entropy Econometrics, Wiley andCalifornia Davis MELE: Maximum Entropy Leuven Estimators by
Thermodynamic estimation: Ionic materials
Glasser, Leslie, E-mail: l.glasser@curtin.edu.au
2013-10-15T23:59:59.000Z
Thermodynamics establishes equilibrium relations among thermodynamic parameters (“properties”) and delineates the effects of variation of the thermodynamic functions (typically temperature and pressure) on those parameters. However, classical thermodynamics does not provide values for the necessary thermodynamic properties, which must be established by extra-thermodynamic means such as experiment, theoretical calculation, or empirical estimation. While many values may be found in the numerous collected tables in the literature, these are necessarily incomplete because either the experimental measurements have not been made or the materials may be hypothetical. The current paper presents a number of simple and relible estimation methods for thermodynamic properties, principally for ionic materials. The results may also be used as a check for obvious errors in published values. The estimation methods described are typically based on addition of properties of individual ions, or sums of properties of neutral ion groups (such as “double” salts, in the Simple Salt Approximation), or based upon correlations such as with formula unit volumes (Volume-Based Thermodynamics). - Graphical abstract: Thermodynamic properties of ionic materials may be readily estimated by summation of the properties of individual ions, by summation of the properties of ‘double salts’, and by correlation with formula volume. Such estimates may fill gaps in the literature, and may also be used as checks of published values. This simplicity arises from exploitation of the fact that repulsive energy terms are of short range and very similar across materials, while coulombic interactions provide a very large component of the attractive energy in ionic systems. Display Omitted - Highlights: • Estimation methods for thermodynamic properties of ionic materials are introduced. • Methods are based on summation of single ions, multiple salts, and correlations. • Heat capacity, entropy, lattice energy, enthalpy, Gibbs energy values are available.
SPACE TECHNOLOGY Actual Estimate
SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR
; - calculated separately for the most important radionuclides produced in nuclear weapons tests. Those would averages for all tests. 2. Provide a list of references regarding: (1) the history of nuclear weapons to the Population of the Continental U.S. from Nevada Weapons Tests and Estimates of Deposition Density
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.
Monotonic Local Decay Estimates
Avy Soffer
2011-10-29T23:59:59.000Z
For the Hamiltonian operator H = -{\\Delta}+V(x) of the Schr\\"odinger Equation with a repulsive potential, the problem of local decay is considered. It is analyzed by a direct method, based on a new, L^2 bounded, propagation observable. The resulting decay estimate, is in certain cases monotonic in time, with no "Quantum Corrections". This method is then applied to some examples in one and higher dimensions. In particular the case of the Wave Equation on a Schwarzschild manifold is redone: Local decay, stronger than the known ones are proved (minimal loss of angular derivatives and lower order of radial derivatives of initial data). The method developed here can be an alternative in some cases to the Morawetz type estimates, with L^2-multipliers replacing the first order operators. It provides an alternative to Mourre's method, by including thresholds and high energies.
Estimating radiogenic cancer risks
NONE
1994-06-01T23:59:59.000Z
This document presents a revised methodology for EPA`s estimation of cancer risks due to low-LET radiation exposures in light of information that has become available since the publication of BIER III, especially new information on the Japanese atomic bomb survivors. For most cancer sites, the risk model is one in which the age-specific relative risk coefficients are obtained by taking the geometric mean of coefficients derived from the atomic bomb survivor data employing two different methods for transporting risks from Japan to the U.S. (multiplicative and NIH projection methods). Using 1980 U.S. vital statistics, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population.
Kampa, Aleksander Edward
1988-01-01T23:59:59.000Z
) December 1988 Extremal Index Estimation (December 1988) Aleksander Edward Kampa, Ecole Centrale de Paris, France Chairman of Advisory Comittee: Dr. Tailen Hsing If (X ) is a strictly stationary sequence satisfying certain n dependence restrictions (e.... g. D or A), then the relationship between the extremal properties of (X ) and its associated independent sequence (X ) n n can. under certain conditions, be summed up by a single constant Be[0. 1]. called the extremal index. Results of extreme...
Blumenthal, Jurg M.; Thompson, Wayne
2009-06-12T23:59:59.000Z
can collect samples from a corn field and use this data to calculate the yield estimate. An interactive grain yield calculator is provided in the Appendix of the pdf version of this publication. The calculator is also located in the publication.... Plan and prepare for sample and data collection. 2. Collect field samples and record data. 3. Analyze the data using the interactive grain yield calculator in the Appendix. Plan and prepare for sample and data collection Predetermine sample locations...
Artificial Lift Systems Market is expected to reach USD 19,806...
Full TOC at http:www.transparencymarketresearch.comartificial-lift-system-market.html Products segments analyzed in this study include electrical submersible pump, rod lift,...
Turbines Market is Expected to Reach USD 191.87 Billion by 2020...
by 2020 in terms of Revenue Home > Groups > Future of Condition Monitoring for Wind Turbines Wayne31jan's picture Submitted by Wayne31jan(150) Contributor 16 June, 2015 -...
Floating Production Systems Market Is Expected To Reach USD 38,752.7
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Turbines Market is Expected to Reach USD 191.87 Billion by 2020 in terms of
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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas, Texas Zip:HillsTucker,Tupman,Revenue |
Turkey Marine Lubricants Market is Expected to Reach USD 177.8 Million by
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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas, Texas2022 | OpenEI Community
Artificial Lift Systems Market is expected to reach USD 19,806.8 Million by
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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcatAntrimArkansas County,Minnesota:Arthur, North Dakota:2020 |
Biomass Boiler Market is Projected to Reach USD 8,907.0 Million by 2022 |
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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouth Carolina:EnergyPark,BioJetMadison,BioflameBioil
Global Fuel Cells Market to Value USD910.3 million by 2018 | OpenEI
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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/Exploration <Glacial EnergyEnergy Information
Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg K-12 School
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012 Qualified11Department ofMeeting Energy Savings GoalsOn
Image-based meteorologic visibility estimation
Graves, Nathan
2011-01-01T23:59:59.000Z
the estimated luminance. . . . . . . . . . . . . . . . . .Nephelometer . . . . . . 3.4.3 Luminance Meter . . . . 4intensity and the estimated luminance. . . . . . . . . .
Energy Expenditure Estimation DEMO Application
Lu?trek, Mitja
and against the SenseWear, a dedicated commercial product for energy expenditure estimation. Keywords: humanEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal
Cost Estimating, Analysis, and Standardization
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1984-11-02T23:59:59.000Z
To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992
POINTWISE ESTIMATES AND MONOTONICITY FORMULAS
POINTWISE ESTIMATES AND MONOTONICITY FORMULAS WITHOUT MAXIMUM PRINCIPLE MARCELO MONTENEGRO;2 MARCELO MONTENEGRO AND ENRICO VALDINOCI In this paper, a central role will be played by the following
Linear Constrained Moving Horizon Estimator With Pre-Estimating Observer
Johansen, Tor Arne
in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The idea of MHE is to estimate of robustness in the presence of uncertainties such as noise, disturbances and modeling errors, see Alessandri in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The pre-estimator leads
Frequency tracking and parameter estimation for robust quantum state estimation
Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)
2011-11-15T23:59:59.000Z
In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.
Examples of Cost Estimation Packages
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.
Measurement enhancement for state estimation
Chen, Jian
2009-05-15T23:59:59.000Z
in the power system. A robust state estimation should have the capability of keeping the system observable during different contingencies, as well as detecting and identifying the gross errors in measurement set and network topology. However, this capability...
Estimation of resources and reserves
Massachusetts Institute of Technology. Energy Laboratory.
1982-01-01T23:59:59.000Z
This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...
Motion Estimation from Disparity Images
Demirdjian, D.
2001-05-07T23:59:59.000Z
A new method for 3D rigid motion estimation from stereo is proposed in this paper. The appealing feature of this method is that it directly uses the disparity images obtained from stereo matching. We assume that the stereo ...
A Bayesian Framework for Combining Valuation Estimates
Kenton K. Yee
2007-07-24T23:59:59.000Z
Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.
A Bayesian Framework for Combining Valuation Estimates
Yee, Kenton K
2007-01-01T23:59:59.000Z
Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.
Quick Estimate of IRR From Capital Estimate Ratios
Larson, R. J.
specific problem. However, the derivation is simple enough so that a new chart can be derived, using the principles described, which is applicable to a specific situation or class of situations. Using conventional Discounted Cash Flow techniques... of the use of this chart is as follows: The estimate capital to carry out a proj ct is $24,000. The estimated savings to be experienced n the first year of operation is $11,300. 21 ESL-IE-85-05-05 Proceedings from the Seventh National Industrial Energy...
Weldon Spring historical dose estimate
Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.
1986-07-01T23:59:59.000Z
This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.
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...
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
Adjusted Estimates of Texas Natural Gas Production
U.S. Energy Information Administration (EIA) Indexed Site
1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural...
Optical Flow Estimation versus Motion Estimation Draft: Anita Sellent
Heermann, Dieter W.
. In the proposed challenge we aim to estimate the physical motion of objects. In industrial applications in the Camera System In industrial applications, sufficient illumination cannot always be provided. This can in the path of a robot or the trajectories of objects [7,12,13,17]. Video cameras provide information
An Improved Cluster Richness Estimator
Rozo, Eduardo; /Ohio State U.; Rykoff, Eli S.; /UC, Santa Barbara; Koester, Benjamin P.; /Chicago U. /KICP, Chicago; McKay, Timothy; /Michigan U.; Hao, Jiangang; /Michigan U.; Evrard, August; /Michigan U.; Wechsler, Risa H.; /SLAC; Hansen, Sarah; /Chicago U. /KICP, Chicago; Sheldon, Erin; /New York U.; Johnston, David; /Houston U.; Becker, Matthew R.; /Chicago U. /KICP, Chicago; Annis, James T.; /Fermilab; Bleem, Lindsey; /Chicago U.; Scranton, Ryan; /Pittsburgh U.
2009-08-03T23:59:59.000Z
Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L{sub X}-richness relation, from {sigma}{sub lnL{sub X}}{sup 2} = (0.86 {+-} 0.02){sup 2} to {sigma}{sub lnL{sub X}}{sup 2} = (0.69 {+-} 0.02){sup 2}. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L{sub X}-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.
Efficient Power System State Estimation
Lavaei, Javad
monitoring of power systems. 2. Background Power systems have four main components: transmission, sub-transmissionEfficient Power System State Estimation Zafirah Baksh Expected BS, Department of Electrical Engineering May 2013 ELEN E4511 Power Systems Analysis Professor Javad Lavaeiyanesi #12;1. Introduction Power
Empirical Bayes Estimation of Reliability
Pensky, Marianna
types of equipment relies on statistical inference about char- acteristics of reliabilityEmpirical Bayes Estimation of Reliability Introduction Assessment of the reliability of various such as reliability function, mean lifetime of the devices, or failure rate. Gen- eral techniques of statistical
Best Linear Unbiased Estimate Motivation for BLUE
Fowler, Mark
1 Chapter 6 Best Linear Unbiased Estimate (BLUE) #12;2 Motivation for BLUE Except for Linear Model to a sub-optimal estimate BLUE is one such sub-optimal estimate Idea for BLUE: 1. Restrict estimate) Advantage of BLUE:Needs only 1st and 2nd moments of PDF Mean & Covariance Disadvantages of BLUE: 1. Sub
Enhanced State Estimators Final Project Report
. State estimators, integrated into control center energy management systems, provide estimates of varying magnitude. As a result, a state estimator is an essential tool for system monitoring becauseEnhanced State Estimators Final Project Report Power Systems Engineering Research Center A National
Chapter 11Chapter 11 Estimating the Weighted
Schubart, Christoph
Chapter 11Chapter 11 Estimating the Weighted Average Cost of Capital DES Chapter 11 1 #12;U i th C.xls for shortfor short. DES Chapter 11 2 #12;S i l i hSteps to estimate value using the Corporate Valuation stockholders DES Chapter 11 7 #12;Estimating Target Weights Page 223: To calculate WACC, we need to estimate
autoregressive spectral estimation: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Estimation: A Tunable High-Resolution Spectral Estimator CiteSeer Summary: Traditional maximum entropy spectral estimation determines a power spectrum from covariance estimates....
To estimate vapor pressure easily
Yaws, C.L.; Yang, H.C. (Lamar Univ., Beaumont, TX (USA))
1989-10-01T23:59:59.000Z
Vapor pressures as functions of temperature for approximately 700 major organic chemical compounds are given. The tabulation also gives the temperature range for which the data are applicable. Minimum and maximum temperatures are denoted by TMIN and TMAX. The Antoine equation that correlates vapor pressure as a function of temperature is described. A representative comparison of calculated and actual data values for vapor pressure is shown for ethyl alcohol. The coefficient tabulation is based on both literature (experimental data) and estimated values.
Waste to Energy: Escalating Energy Concerns to Push Global Market...
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)...
Portland General Electic RFP--deadline for intent to bid September...
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)...
Refiners Increasingly Employing Catalyst Regeneration as Alternative...
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)...
Lubrication Systems Market : Mining & Mineral Processing Industry...
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)...
Maximum likelihood estimation for cooperative sequential adsorption
Burton, Geoffrey R.
Maximum likelihood estimation for cooperative sequential adsorption Mathew D. Penrose and Vadim;Maximum likelihood estimation for cooperative sequential adsorption M.D. Penrose, Department of the region. Keywords: cooperative sequential adsorption, space-time point pro- cess, maximum likelihood
Uncertainty Quantification in ocean state estimation
Kalmikov, Alexander G
2013-01-01T23:59:59.000Z
Quantifying uncertainty and error bounds is a key outstanding challenge in ocean state estimation and climate research. It is particularly difficult due to the large dimensionality of this nonlinear estimation problem and ...
Harmonizing Systems and Software Cost Estimation
Wang, Gan
2009-07-19T23:59:59.000Z
The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...
Econometric Analysis on Efficiency of Estimator
M. Khoshnevisan; F. Kaymram; Housila P. Singh; Rajesh Singh; Florentin Smarandache
2003-04-16T23:59:59.000Z
This paper investigates the efficiency of an alternative to ratio estimator under the super population model with uncorrelated errors and a gamma-distributed auxiliary variable. Comparisons with usual ratio and unbiased estimators are also made.
Bayesian estimation of resistivities from seismic velocities
Werthmüller, Dieter
2014-06-30T23:59:59.000Z
I address the problem of finding a background model for the estimation of resistivities in the earth from controlled-source electromagnetic (CSEM) data by using seismic data and well logs as constraints. Estimation of ...
Cost Model and Cost Estimating Software
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.
Coal Bed Methane Market to Value USD 15,318.9 Million by 2018 | OpenEI
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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationin UrbanCity ofCityCleanInformationCommunity Coal Bed
A SIMPLEX-BASED PROJECTIVE TRANSFORM ESTIMATOR
Robinson, John A.
A SIMPLEX-BASED PROJECTIVE TRANSFORM ESTIMATOR J A Robinson University of York, UK. INTRODUCTION. THE SAM ESTIMATOR The estimator to be described here is called Simplex-Adapted Mesh (SAM). It has two to in the name a sparse sam- ple mesh and the Nelder-Mead simplex and is more novel. For convenience I use
Types of Costs Types of Cost Estimates
Boisvert, Jeff
· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining% accuracy. 2-5% of pre-production capital Types of Cost Estimates #12;3. Definitive Based on definitive-even $ Production Level Fixed Cost Break-even $ Production Level Cost-Revenue Relationships · Capital Costs (or
2007 Estimated International Energy Flows
Smith, C A; Belles, R D; Simon, A J
2011-03-10T23:59:59.000Z
An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.
Supplemental report on cost estimates'
NONE
1992-04-29T23:59:59.000Z
The Office of Management and Budget (OMB) and the U.S. Army Corps of Engineers have completed an analysis of the Department of Energy's (DOE) Fiscal Year (FY) 1993 budget request for its Environmental Restoration and Waste Management (ERWM) program. The results were presented to an interagency review group (IAG) of senior-Administration officials for their consideration in the budget process. This analysis included evaluations of the underlying legal requirements and cost estimates on which the ERWM budget request was based. The major conclusions are contained in a separate report entitled, ''Interagency Review of the Department of Energy Environmental Restoration and Waste Management Program.'' This Corps supplemental report provides greater detail on the cost analysis.
Population estimates for Phase 1: Hanford Environmental Dose Reconstruction Project
Beck, D.M.; Erickson, A.R.; Harkreader, S.A.
1992-03-01T23:59:59.000Z
This report summarizes the population estimates of Phase I of the Hanford Environmental Dose Reconstruction (HEDR) Project. These estimates were used to develop preliminary dose estimates.
Reassessing Wind Potential Estimates for India: Economic and Policy Implications
Phadke, Amol
2012-01-01T23:59:59.000Z
the need to reassess wind potential estimates in India andDivision Reassessing Wind Potential Estimates for India:July 2011 Reassessing Wind Potential Estimates for India:
Estimating Pedestrian Accident Exposure: Automated Pedestrian Counting Devices Report
Bu, Fanping; Greene-Roesel, Ryan; Diogenes, Mara Chagas; Ragland, David R
2007-01-01T23:59:59.000Z
291. Estimating Pedestrian Accident Exposure: Draft ProtocolEstimating Pedestrian Accident Exposure: Draft Protocol39. Estimating Pedestrian Accident Exposure: Draft Protocol
State energy data report 1994: Consumption estimates
NONE
1996-10-01T23:59:59.000Z
This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.
Estimating Methods - DOE Directives, Delegations, and Requirements
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
direct costs, and other estimating considerations are discussed in this chapter. g4301-1chp15.pdf -- PDF Document, 28 KB Writer: John Makepeace Subjects: Administration Management...
Estimating Specialty Costs - DOE Directives, Delegations, and...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
project specialty costs and methods of estimating costs for specialty projects. g4301-1chp20.pdf -- PDF Document, 56 KB Writer: John Makepeace Subjects: Administration Management...
Improved diagnostic model for estimating wind energy
Endlich, R.M.; Lee, J.D.
1983-03-01T23:59:59.000Z
Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.
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...
Flux recovery and a posteriori error estimators
2010-05-20T23:59:59.000Z
bility and the local efficiency bounds for this estimator are established provided that the ... For simple model problems, the energy norm of the true error is equal.
Estimating Temperature Distributions In Geothermal Areas Using...
an analytical model, showing that the errors in neuronet temperature estimates based on well log data derive from: (a) the neuronet "education level" (which depends on the amount...
Estimating Pedestrian Accident Exposure: Protocol Report
Greene-Roesel, Ryan; Diogenes, Mara Chagas; Ragland, David R
2007-01-01T23:59:59.000Z
A Method of Measuring Exposure to Pedestrian Accident Risk.Accident Analysis and Prevention, Vol. 14, 1982, pp 397-405.Estimating Pedestrian Accident Exposure: Protocol Report,
Reliability Estimates for Power Supplies
Lee C. Cadwallader; Peter I. Petersen
2005-09-01T23:59:59.000Z
Failure rates for large power supplies at a fusion facility are critical knowledge needed to estimate availability of the facility or to set priorties for repairs and spare components. A study of the "failure to operate on demand" and "failure to continue to operate" failure rates has been performed for the large power supplies at DIII-D, which provide power to the magnet coils, the neutral beam injectors, the electron cyclotron heating systems, and the fast wave systems. When one of the power supplies fails to operate, the research program has to be either temporarily changed or halted. If one of the power supplies for the toroidal or ohmic heating coils fails, the operations have to be suspended or the research is continued at de-rated parameters until a repair is completed. If one of the power supplies used in the auxiliary plasma heating systems fails the research is often temporarily changed until a repair is completed. The power supplies are operated remotely and repairs are only performed when the power supplies are off line, so that failure of a power supply does not cause any risk to personnel. The DIII-D Trouble Report database was used to determine the number of power supply faults (over 1,700 reports), and tokamak annual operations data supplied the number of shots, operating times, and power supply usage for the DIII-D operating campaigns between mid-1987 and 2004. Where possible, these power supply failure rates from DIII-D will be compared to similar work that has been performed for the Joint European Torus equipment. These independent data sets support validation of the fusion-specific failure rate values.
Budget estimates. Fiscal year 1998
NONE
1997-02-01T23:59:59.000Z
The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.
Cost Estimating Handbook for Environmental Restoration
NONE
1990-09-01T23:59:59.000Z
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.
Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Abstract: Many...
Bayesian surface estimation for white light interferometry
Hamprecht, Fred A.
.hamprecht@iwr.uni-heidelberg.de). 1 #12;The development of white light interferometers for industry was first guidedBayesian surface estimation for white light interferometry Michael Hissmann Fred A. Hamprecht 2004/07/05 Abstract In conventional white light interferometry (WLI) surface estimation, data acquisition is followed
Systematic Approach for Decommissioning Planning and Estimating
Dam, A. S.
2002-02-26T23:59:59.000Z
Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.
Articulated Human Pose Estimation in Natural Images
Hogg, David
Articulated Human Pose Estimation in Natural Images by Samuel Alan Johnson Submitted in accordance. c 2012 The University of Leeds and Samuel Alan Johnson 2 #12;Abstract In this thesis the problem. Johnson and M. Everingham, "Learning Effective Human Pose Estimation from In- accurate Annotation
Wavelet Based Estimation for Univariate Stable Laws
GonĂ§alves, Paulo
Wavelet Based Estimation for Univariate Stable Laws Anestis Antoniadis Laboratoire IMAG to implement. This article describes a fast, wavelet-based, regression-type method for estimating the parameters of a stable distribution. Fourier domain representations, combined with a wavelet multiresolution
Falcon 9 Launch Vehicle NAFCOM Cost Estimates
. The updated estimates provided both Cost Plus Fee and Firm Fixed Price approaches and included two flight Updated Estimate Cost Plus Fee Cost Plus Fee Firm Fixed Price Cost Plus Fee Total Total Total Total in structure Interstage (composite material) was included in structures (aluminum lithium material) Interstage
Effort estimation for corrective software maintenance
Bae, Doo-Hwan
Stefanucci Proceedings of the 14th international conference on software engineering and knowledge engineering estimating Size Duration Staff Costs Effort #12;4/20 Introduction (2/2) · Effort estimation Is a valuable asset to maintenance managers in · Planning maintenance · Performing cost/benefits analysis · Approach
Types of Costs Types of Cost Estimates
Boisvert, Jeff
05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408-Revenue Relationships · Capital Costs (or first cost or capital investment): Expenditures made to acquire or develop capital assets Three main classes of capital costs: 1. Depreciable Investment: · Investment allocated
2009 Cost Estimates of Establishing and
Collins, Gary S.
2009 Cost Estimates of Establishing and Producing Gala Apples in Washington WASHINGTON STATE include estimating 1) the costs of the equipment, materials, supplies, and labor required to establish for any particular orchard operation due to case-specific: · Capital, labor, and natural resources · Crop
2013 Cost Estimation of Establishing a
Collins, Gary S.
1 2013 Cost Estimation of Establishing a Cider Apple Orchard in Western Washington W A S H I N G factors: · Capital, labor, and natural resources · Crop yield · Cultural practices · Input prices Cost estimations in this enterprise budget also vary depending on the budget's intended use. To avoid
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
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
Vegetation Indices to Aid Areal Evapotranspiration Estimations
Szilagyi, Jozsef
Vegetation Indices to Aid Areal Evapotranspiration Estimations Jozsef Szilagyi1 Abstract: Multiyear Seevers and Ottmann 1994; Nicholson et al. 1996; Sz- ilagyi et al. 1998; Szilagyi and Parlange 1999; Szilagyi 2000 . Different authors drew differing conclusions about the appli- cability of NDVI to estimate
Estimation of Evolutionary Distance between Nucleotide Sequences'
Nei, Masatoshi
Estimation of Evolutionary Distance between Nucleotide Sequences' Fumio Tajima and Masatoshi Nei University of Texas at Houston A mathematical formula for estimating the average number of nucleotide sub rates of substitution among different nucleotide pairs. Although this formula is obtained for the equal
8, 20612084, 2008 Estimation of Asian
Paris-Sud XI, Université de
ACPD 8, 20612084, 2008 Estimation of Asian dust effect on cloud radiation forcing J. Su et al Chemistry and Physics Discussions Estimation of Asian dust aerosol effect on cloud radiation forcing using of Asian dust effect on cloud radiation forcing J. Su et al. Title Page Abstract Introduction Conclusions
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
A maximum entropy-least squares estimator for elastic origin-destination trip matrix estimation
Kockelman, Kara M.
A maximum entropy-least squares estimator for elastic origin- destination trip matrix estimation propose a combined maximum entropy-least squares (ME-LS) estimator, by which O- D flows are distributed-destination trip table; elastic demand; maximum entropy; least squares; subnetwork analysis; convex combination
Sanford, P. C.; Templeton, J. H.; Stevens, J. L.; Dorr, K.
2002-02-25T23:59:59.000Z
Rocky Flats Closure Project (Site) includes several multi-year decontamination and decommissioning (D&D) projects which, over the next four years, will dismantle and demolish four major plutonium facilities, four major uranium facilities, and over 400 additional facilities of different types. The projects are currently generating large quantities of transuranic, low-level, mixed, hazardous, and sanitary wastes. A previous paper described the initial conceptual estimates and methods, and the evolution of these methods based on the actual results from the decommissioning of a ''pilot'' facility. The waste estimating method that resulted from that work was used for the waste estimates incorporated into the current Site baseline. This paper discusses subsequent developments on the topic of waste estimating that have occurred since the baseline work. After several months of operation under the current Site baseline, an effort was initiated to either validate or identify improvements to the waste basis-of-estimate. Specific estimate and estimating method elements were identified for additional analysis based on the element's potential for error and the impact of that error on Site activities. The analysis took advantage of actual, more detailed data collected both from three years additional experience in decommissioning a second plutonium facility and from experience in deactivating certain non-plutonium facilities. It compared the actual transuranic and low-level waste generation against their respective estimates based on overall distribution and for individual media (i.e. equipment type), and evaluated trends. Finally, it projected the quantity of lead-characteristic low-level mixed waste that will be generated from plutonium building decommissioning and upgraded the decommissioning waste estimates of the non-plutonium buildings.
State energy data report 1993: Consumption estimates
NONE
1995-07-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.
How to fool CMB parameter estimation
William H. Kinney
2000-05-19T23:59:59.000Z
With the release of the data from the Boomerang and MAXIMA-1 balloon flights, estimates of cosmological parameters based on the Cosmic Microwave Background (CMB) have reached unprecedented precision. In this paper I show that it is possible for these estimates to be substantially biased by features in the primordial density power spectrum. I construct primordial power spectra which mimic to within cosmic variance errors the effect of changing parameters such as the baryon density and neutrino mass, meaning that even an ideal measurement would be unable to resolve the degeneracy. Complementary measurements are necessary to resolve this ambiguity in parameter estimation efforts based on CMB temperature fluctuations alone.
State energy data report 1995 - consumption estimates
NONE
1997-12-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2014-10-31T23:59:59.000Z
This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.
State Energy Data Report, 1991: Consumption estimates
Not Available
1993-05-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.
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...
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)
1997-08-01T23:59:59.000Z
The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.
Statistical Risk Estimation for Communication System Design
May 2012 SSL # 6-12 #12;#12;Statistical Risk Estimation for Communication System Design Alessandra Babuscia, David W. Miller May 2012 SSL # 6-12 This work is based on the unaltered text of the thesis
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 ...
Language model parameter estimation using user transcriptions
Hsu, Bo-June
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyond the unlabeled test ...
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.
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
1996-03-01T23:59:59.000Z
This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.
FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION
Burgman, Mark
such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing
ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS
ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS Supplement to California Energy. There are also likely additional savings from initiatives that are neither finalized nor funded are referred to as additional achievable energy efficiency (AAEE) impacts. Staff developed five AAEE
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 ...
Estimating uncertainties in integrated reservoir studies
Zhang, Guohong
2004-09-30T23:59:59.000Z
To make sound investment decisions, decision makers need accurate estimates of the uncertainties present in forecasts of reservoir performance. In this work I propose a method, the integrated mismatch method, that incorporates the misfit...
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.
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01T23:59:59.000Z
This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...
REPORT NO. 4 ESTIMATES AND EVALUATION OF
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, "Health Implications of Fallout From Nuclear Weapons Testing Through 1961", May 1962
Data Fusion for Improved Respiration Rate Estimation
Nemati, Shamim
We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the ...
Estimating a mixed strategy employing maximum entropy
Golan, Amos; Karp, Larry; Perloff, Jeffrey M.
1996-01-01T23:59:59.000Z
MIXED STRATEGY EMPLOYING MAXIMUM ENTROPY by Amos Golan LarryMixed Strategy Employing Maximum Entropy Amos Golan Larry S.Abstract Generalized maximum entropy may be used to estimate
Sub-Second Parallel State Estimation
Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu
2014-10-31T23:59:59.000Z
This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days’ worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than today’s commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimator’s single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators’ actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.
On Quantum Channel Estimation with Minimal Resources
M. Zorzi; F. Ticozzi; A. Ferrante
2011-06-10T23:59:59.000Z
We determine the minimal experimental resources that ensure a unique solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically admissible solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.
Estimates of US biomass energy consumption 1992
Not Available
1994-05-06T23:59:59.000Z
This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.
LAT and Solar Neutrons: Preliminary estimates
Longo, Francesco [Department of Physics, University of Trieste, Trieste, via Valerio 2, 34127 Trieste (Italy)]|[INFN, Trieste, via Valerio 2, 34127 Trieste (Italy)
2007-07-12T23:59:59.000Z
GLAST LAT will detect several solar flares in gamma rays. Motivated by the CGRO results on neutrons emitted during a solar flare, we try to estimate the possibility of the LAT to detect solar neutrons. Besides gamma rays, neutrons could indeed interact in the LAT instrument and mimic a gamma-ray signal. An estimate of the contamination of gamma-ray detection in solar flares by the neutron component is given.
Statistical Estimation of Quantum Tomography Protocols Quality
Yu. I. Bogdanov; G. Brida; M. Genovese; S. P. Kulik; E. V. Moreva; A. P. Shurupov
2010-02-18T23:59:59.000Z
A novel operational method for estimating the efficiency of quantum state tomography protocols is suggested. It is based on a-priori estimation of the quality of an arbitrary protocol by means of universal asymptotic fidelity distribution and condition number, which takes minimal value for better protocol. We prove the adequacy of the method both with numerical modeling and through the experimental realization of several practically important protocols of quantum state tomography.
Guidelines for Estimating Unmetered Industrial Water Use
Boyd, Brian K.
2010-08-01T23:59:59.000Z
The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.
Quantum risk-sensitive estimation and robustness
Naoki Yamamoto; Luc Bouten
2008-03-31T23:59:59.000Z
This paper studies a quantum risk-sensitive estimation problem and investigates robustness properties of the filter. This is a direct extension to the quantum case of analogous classical results. All investigations are based on a discrete approximation model of the quantum system under consideration. This allows us to study the problem in a simple mathematical setting. We close the paper with some examples that demonstrate the robustness of the risk-sensitive estimator.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Madhavacheril, Mathew S. [Stony Brook Univ., NY (United States); Slosar, Anze [Brookhaven National Lab. (BNL), Upton, NY (United States); McDonald, Patrick [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sehgal, Neelima [Stony Brook Univ., NY (United States)
2015-01-01T23:59:59.000Z
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima
2015-01-01T23:59:59.000Z
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmore »of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.« less
Cost estimating projects for large cutter and hopper dredges
Belesimo, Francesco John
2000-01-01T23:59:59.000Z
Estimating the cost of a dredging project is the most important part of a project's life cycle. A precise account of the costs associated with performing dredging work begins with the production estimate and ends with the cost estimate...
Categorical missing data imputation for software cost estimation by
Bae, Doo-Hwan
the cost usually begins by building estimation model Apply estimation method to historical data setsCategorical missing data imputation for software cost estimation by multinomial logistic regression Organization type Banking, Construction, Gas, Defense, Engergy, ... bartype Business area type Accounting
A Flexible Method of Estimating Luminosity Functions
Brandon C. Kelly; Xiaohui Fan; Marianne Vestergaard
2008-05-19T23:59:59.000Z
We describe a Bayesian approach to estimating luminosity functions. We derive the likelihood function and posterior probability distribution for the luminosity function, given the observed data, and we compare the Bayesian approach with maximum-likelihood by simulating sources from a Schechter function. For our simulations confidence intervals derived from bootstrapping the maximum-likelihood estimate can be too narrow, while confidence intervals derived from the Bayesian approach are valid. We develop our statistical approach for a flexible model where the luminosity function is modeled as a mixture of Gaussian functions. Statistical inference is performed using Markov chain Monte Carlo (MCMC) methods, and we describe a Metropolis-Hastings algorithm to perform the MCMC. The MCMC simulates random draws from the probability distribution of the luminosity function parameters, given the data, and we use a simulated data set to show how these random draws may be used to estimate the probability distribution for the luminosity function. In addition, we show how the MCMC output may be used to estimate the probability distribution of any quantities derived from the luminosity function, such as the peak in the space density of quasars. The Bayesian method we develop has the advantage that it is able to place accurate constraints on the luminosity function even beyond the survey detection limits, and that it provides a natural way of estimating the probability distribution of any quantities derived from the luminosity function, including those that rely on information beyond the survey detection limits.
Quantum limits to estimation of photon deformation
Giovanni De Cillis; Matteo G. A. Paris
2014-07-08T23:59:59.000Z
We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.
Optimal error estimates for corrected trapezoidal rules
Talvila, Erik
2012-01-01T23:59:59.000Z
Corrected trapezoidal rules are proved for $\\int_a^b f(x)\\,dx$ under the assumption that $f"\\in L^p([a,b])$ for some $1\\leq p\\leq\\infty$. Such quadrature rules involve the trapezoidal rule modified by the addition of a term $k[f'(a)-f'(b)]$. The coefficient $k$ in the quadrature formula is found that minimizes the error estimates. It is shown that when $f'$ is merely assumed to be continuous then the optimal rule is the trapezoidal rule itself. In this case error estimates are in terms of the Alexiewicz norm. This includes the case when $f"$ is integrable in the Henstock--Kurzweil sense or as a distribution. All error estimates are shown to be sharp for the given assumptions on $f"$. It is shown how to make these formulas exact for all cubic polynomials $f$. Composite formulas are computed for uniform partitions.
Robust estimation procedure in panel data model
Shariff, Nurul Sima Mohamad [Faculty of Science of Technology, Universiti Sains Islam Malaysia (USIM), 71800, Nilai, Negeri Sembilan (Malaysia); Hamzah, Nor Aishah [Institute of Mathematical Sciences, Universiti Malaya, 50630, Kuala Lumpur (Malaysia)
2014-06-19T23:59:59.000Z
The panel data modeling has received a great attention in econometric research recently. This is due to the availability of data sources and the interest to study cross sections of individuals observed over time. However, the problems may arise in modeling the panel in the presence of cross sectional dependence and outliers. Even though there are few methods that take into consideration the presence of cross sectional dependence in the panel, the methods may provide inconsistent parameter estimates and inferences when outliers occur in the panel. As such, an alternative method that is robust to outliers and cross sectional dependence is introduced in this paper. The properties and construction of the confidence interval for the parameter estimates are also considered in this paper. The robustness of the procedure is investigated and comparisons are made to the existing method via simulation studies. Our results have shown that robust approach is able to produce an accurate and reliable parameter estimates under the condition considered.
State energy data report 1996: Consumption estimates
NONE
1999-02-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.
Fourier Analytic Approach to Phase Estimation
Hiroshi Imai; Masahito Hayashi
2008-10-31T23:59:59.000Z
For a unified analysis on the phase estimation, we focus on the limiting distribution. It is shown that the limiting distribution can be given by the absolute square of the Fourier transform of $L^2$ function whose support belongs to $[-1,1]$. Using this relation, we study the relation between the variance of the limiting distribution and its tail probability. As our result, we prove that the protocol minimizing the asymptotic variance does not minimize the tail probability. Depending on the width of interval, we derive the estimation protocol minimizing the tail probability out of a given interval. Such an optimal protocol is given by a prolate spheroidal wave function which often appears in wavelet or time-limited Fourier analysis. Also, the minimum confidence interval is derived with the framework of interval estimation that assures a given confidence coefficient.
Estimating exposure of terrestrial wildlife to contaminants
Sample, B.E.; Suter, G.W. II
1994-09-01T23:59:59.000Z
This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.
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...
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...
Check Estimates and Independent Costs - DOE Directives, Delegations...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
estimates and their procedures and various types of independent cost estimates. g4301-1chp13.pdf -- PDF Document, 33 KB Writer: John Makepeace Subjects: Administration Management...
Types of Cost Estimates - DOE Directives, Delegations, and Requirement...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
CURRENT DOE G 430.1-1 Chp 4, Types of Cost Estimates by John Makepeace Functional areas: Procurement, Project Management The chapter describes the estimates required on...
Reassessing Wind Potential Estimates for India: Economic and Policy Implications
Phadke, Amol
2012-01-01T23:59:59.000Z
Estimates for India: Economic and Policy Implications AmolEstimates for India: Economic and Policy Implications Amolpolicies, and programs, wind energy can be a core component of India’
Precise attention filters for Weber contrast derived from centroid estimations
Sperling, George
Precise attention filters for Weber contrast derived from centroid estimations Department attention filters for Weber contrast derived from centroid estimations. Journal of Vision, 10(10):20, 1
Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Estimating the Wind Resource in Uttarakhand: Comparison of...
adjust efficacy estimates: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Entropy Estimation Vincent Q. Vu Mathematics Websites Summary: -likelihood, the Good-Turing coverage estimate and the total probability of unobserved words converge at rate OP...
A Method for Estimating Undiscovered Geothermal Resources in...
was estimated using digital maps of geothermal wells, temperature gradient holes, oil wells, water wells, and depth to the water table. The resulting resource estimate does...
An Analytical Approach for Tail-Pipe Emissions Estimation with...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine and Aftertreatment System An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled...
Estimating Costs and Efficiency of Storage, Demand, and Heat...
Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters 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...
Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping...
Broader source: Energy.gov (indexed) [DOE]
Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22,...
Lucas, Matthew Allen
2009-05-15T23:59:59.000Z
.............................................................. 31 Results: ROW Estimation State of Practice ................................... 31 Critical Issues ....................................................................... 32 Overview of Current Practice... ............................................... 35 Analysis: Critical Review of Practices ........................................... 41 General ROW Cost Estimation Procedure ........................... 42 ROW Cost Estimation...
Estimates of US biofuels consumption, 1990
Not Available
1991-10-01T23:59:59.000Z
This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 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
2013-07-16T23:59:59.000Z
Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.
A robustness application for linear estimation
Kitzman, Kenneth Victor
1990-01-01T23:59:59.000Z
the maximization of a, term which reflects the ' contributions of both estimator robustness and performance. Recall from Chapter II that we denote this term as J = q P. + (1 ? q) %. , where q can vary, according to the estimator application, between zero... error formula, we recall from Chapter II tlrat the maximum of this performance value is achieved at the point E[XY] E[Xz] Recall that our example nominal densities are Jz+y, if0?*1, 0&y&1; ), 0, otherwise, f ()z+z, if0&z&1; I 0, otherwise. 23 I...
CONTAMINATED SOIL VOLUME ESTIMATE TRACKING METHODOLOGY
Durham, L.A.; Johnson, R.L.; Rieman, C.; Kenna, T.; Pilon, R.
2003-02-27T23:59:59.000Z
The U.S. Army Corps of Engineers (USACE) is conducting a cleanup of radiologically contaminated properties under the Formerly Utilized Sites Remedial Action Program (FUSRAP). The largest cost element for most of the FUSRAP sites is the transportation and disposal of contaminated soil. Project managers and engineers need an estimate of the volume of contaminated soil to determine project costs and schedule. Once excavation activities begin and additional remedial action data are collected, the actual quantity of contaminated soil often deviates from the original estimate, resulting in cost and schedule impacts to the project. The project costs and schedule need to be frequently updated by tracking the actual quantities of excavated soil and contaminated soil remaining during the life of a remedial action project. A soil volume estimate tracking methodology was developed to provide a mechanism for project managers and engineers to create better project controls of costs and schedule. For the FUSRAP Linde site, an estimate of the initial volume of in situ soil above the specified cleanup guidelines was calculated on the basis of discrete soil sample data and other relevant data using indicator geostatistical techniques combined with Bayesian analysis. During the remedial action, updated volume estimates of remaining in situ soils requiring excavation were calculated on a periodic basis. In addition to taking into account the volume of soil that had been excavated, the updated volume estimates incorporated both new gamma walkover surveys and discrete sample data collected as part of the remedial action. A civil survey company provided periodic estimates of actual in situ excavated soil volumes. By using the results from the civil survey of actual in situ volumes excavated and the updated estimate of the remaining volume of contaminated soil requiring excavation, the USACE Buffalo District was able to forecast and update project costs and schedule. The soil volume tracking methodology helped the USACE Buffalo District track soil quantity changes from projected excavation work over time and across space, providing the basis for an explanation of some of the project cost and schedule variances.
Background Suppression Effects on Signal Estimation
Burr, Tom [Los Alamos National Laboratory
2008-01-01T23:59:59.000Z
Gamma detectors at border crossings are intended to detect illicit nuclear material. One performance challenge involves the fact that vehicles suppress the natural background, thus potentially reducing detection probability for threat items. Methods to adjust for background suppression have been considered in related but different settings. Here, methods to adjust for background suppression are tested in the context of signal estimation. Adjustment methods include several clustering options. We find that for the small-to-moderate suppression magnitudes exhibited in the analyzed data, suppression adjustment is only moderatel helpful in locating the signal peak, and in estimating its width or magnitude.
Estimation of precipitable water from surface observations
Kahan, Archie Marion
1959-01-01T23:59:59.000Z
for estimating the precipitable water at Lake Charles, Louisiana. P red ic tors employed were surface vapor p re s ? sure, ceiling, cloud cover , cloud type, wind, pressure change and iv season. E rrors of estimate averaged approximately one tenth o f... of the photocells and the intense radiation of the noon sun leads one to accept the reality of a ce ll temperature greater than the ambient air temperature. The ce lls are, in effect, miniature green ? houses, The epoxy resin cylinder encasing the crysta l...
PDE Estimation Techniques for Advanced Battery Management Systems -Part I: SOC Estimation
Krstic, Miroslav
- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part I: SOC Estimation S. J sensing and actuation exists to monitor and control the internal state of these systems. As such, battery
Estimate of the scatter component in SPECT
Ivanovic, M.; Weber, D.A. [Univ. of California, Sacramento, CA (United States); Loncaric, S. [Univ. of Zagreb (Croatia)
1996-12-31T23:59:59.000Z
Analytical expressions that describe the dependence of slopes and amplitudes of the scatter distribution functions (SDF) on source depth and media density are used to estimate a scatter component in SPECT projection data. Since the ratio of detected scattered to total photons (S/T), SDF amplitude and slope depend strongly on line source length (SL) used to obtain SDFs, we compared estimated scattered components using SDFs, obtained for lengths of 2-21 cm. At 10 cm source depth, S/T changes from 0.19 to 0.36 when SL changes from 2 to 21 cm. Scatter amplitude`s dependence on source depth (d) in water was described by 6.38e{sup -0.186d} for a 2 cm and 16.15e{sup -0.129d} for a 21 cm SL. Slope was described by 0.292d{sup -0.601} for a cm SL and by 0.396d{sup -0.82} for a 21 cm SL. The estimated scatter components are compared with simulated SPECT projection data obtained with Monte Carlo modeling of six hot spheres placed in a cylindrical water filled phantom. The comparison of estimated with simulated total counts/projection shows very good agreement when approaching SDF for a point source (the % difference varied from 2 to 13% for 2 cm SL). Significant overestimate is seen when source length increases.
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING
Paris-Sud XI, Université de
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jřrgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jřrgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns
PMU Deployment for Optimal State Estimation Performance
Roy, Sumit
the observability of candidate deployments at each step and improves the convergence speed of the search. In [5PMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit electronic devices (IED), that sense the grid state variables so as to support enhanced, real-time monitoring
Estimating the Burden of Neurocysticercosis in Mexico
Bhattarai, Rachana
2012-10-19T23:59:59.000Z
-demographic characteristics of NCC patients, to compare quality of life of individuals diagnosed with NCC with an age and sex matched control population and to estimate the non-monetary burden of NCC in Mexico. In order to accomplish these objectives, a case series of NCC...
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING
Ewing, Richard E.
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade the location and subsequent remediation of contaminants in groundwater to the optimization of production on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used
Modeling and Parameter Estimation of Interpenetrating
Grossmann, Ignacio E.
Modeling and Parameter Estimation of Interpenetrating Polymer Network ProcessPolymer Network, PA 15213 #12;Interpenetrating Polymer Network Processp g y Monomer Initiator P l i ti tPolymerization reactor Seed particle Monomer droplet Aqueous mediaq Seed Polymer A Monomer B Seed Polymer A 2Fig 1. Seed
Estimates of Oil Reserves Jean Laherrere
O'Donnell, Tom
Estimates of Oil Reserves Jean Laherrere e-mail: jean.laherrere@wanadoo.fr sites: http will solve the present problems on welfare, retirement and they would dearly love to see the reserves of oil or oil reserves is a political act. The SEC, to satisfy bankers and shareholders, obliges the oil
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
N000149510521 Estimating Relative Vehicle Motions
Markovitch, Shaul
CARÂTRÂ881 CSÂTRÂ3882 N00014Â95Â1Â0521 March 1998 Estimating Relative Vehicle Motions in Traffic for Automation Research University of Maryland College Park, MD 20742Â3275 2 Computer Science Department George of Technology Haifa, Israel 32000 Abstract Autonomous operation of a vehicle on a road calls for understanding
Estimating Bounds for Quadratic Assignment Problems Associated ...
2010-09-17T23:59:59.000Z
?Department of Mathematics and Statistics, Arizona State University, Tempe, AZ 85287-. 1804 ... Department of Industrial and Enterprise System Engineering , ... Malah used the projection method [13] to estimate lower and upper bounds for ...... DIMACS 25 Series in Discrete Mathematics and Theoretical Computer Sci-.
Edgar Gabriel Estimation of MPI Application
Subhlok, Jaspal
Edgar Gabriel Estimation of MPI Application Performance on Volunteer Environments Girish Nandagudi, Jaspal Subhlok, Edgar Gabriel Department of Computer Science, University of Houston jaspal, egabriel@uh.edu Judit Gimenez Barcelona Supercomputing Center judit@bsc.es #12;Edgar Gabriel Overview · The Volpex
Estimating density of Florida Key deer
Roberts, Clay Walton
2006-08-16T23:59:59.000Z
for this species since 1968; however, a need to evaluate the precision of existing and alternative survey methods (i.e., road counts, mark-recapture, infrared-triggered cameras [ITC]) was desired by USFWS. I evaluated density estimates from unbaited ITCs and road...
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
Schedule Estimation for Web Application Development
Fernando, Lake
2008-05-16T23:59:59.000Z
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...
Temperature Dependent Wire Delay Estimation in Floorplanning
Nannarelli, Alberto
Temperature Dependent Wire Delay Estimation in Floorplanning Andreas Thor Winther, Wei Liu, Alberto, Arizona State University, Tempe, USA Abstract--Due to large variations in temperature in VLSI cir- cuits and the linear relationship between metal resistance and temperature, the delay through wires of the same length
Estimating the uncertainty in underresolved nonlinear dynamics
Chorin, Alelxandre; Hald, Ole
2013-06-12T23:59:59.000Z
The Mori-Zwanzig formalism of statistical mechanics is used to estimate the uncertainty caused by underresolution in the solution of a nonlinear dynamical system. A general approach is outlined and applied to a simple example. The noise term that describes the uncertainty turns out to be neither Markovian nor Gaussian. It is argued that this is the general situation.
REACTOR SAFETY KEYWORDS: best estimate plus
Hoppe, Fred M.
REACTOR SAFETY KEYWORDS: best estimate plus uncertainty analysis, epistemic error and aleatory phe- nomena that underlie the safety analyses. The use of BE codes within the reactor technology in advance and that result from a variety of operating conditions or states. These arise because the reactor
SWOT Satellite Mission: Combined State Parameter Estimation
Washington at Seattle, University of
-parameter estimation problem Data assimilation experiments Water depth Discharge Channel width Roughness coefficient #12;3 Need for a surface water mission Importance to hydrology gauge measurements insufficient hydraulics Amazon Siberia Ohio #12;4 Global gauge measurements #12;5 SWOT Technology These surface water
Estimating Vehicle Miles Traveled on Local Roads
Qian, Jiayu
2013-11-07T23:59:59.000Z
This research presents a new method to estimate the local road vehicle miles traveled (VMT) with the concept of betweenness centrality. Betweenness centrality is a measure of a node’s or link’s centrality on a network that has been applied popularly...
Kernel Density Based Linear Regression Estimate and Zhibiao Zhao
Zhao, Zhibiao
Kernel Density Based Linear Regression Estimate Weixin Yao and Zhibiao Zhao Abstract For linear regression models with non-normally distributed errors, the least squares estimate (LSE) will lose some words: EM algorithm, Kernel density estimate, Least squares estimate, Linear regression, Maximum
Fuzzy Estimation of DC Motor Winding Currents Innovatia Software
Simon, Dan
stator windings. an attractive alternative to current estimation using In order to implement an e. The fuzzy estimator is applied to actual motor wind- When the stator and rotor °uxes are not aligned the rotor stator winding current estimation. #12;2 Fuzzy Estimation The output of the correction mapping
Aerosol Best Estimate Value-Added Product
Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C
2012-07-19T23:59:59.000Z
The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.
Recursive bias estimation for high dimensional smoothers
Hengartner, Nicolas W [Los Alamos National Laboratory; Matzner-lober, Eric [UHB, FRANCE; Cornillon, Pierre - Andre [INRA
2008-01-01T23:59:59.000Z
In multivariate nonparametric analysis, sparseness of the covariates also called curse of dimensionality, forces one to use large smoothing parameters. This leads to biased smoothers. Instead of focusing on optimally selecting the smoothing parameter, we fix it to some reasonably large value to ensure an over-smoothing of the data. The resulting smoother has a small variance but a substantial bias. In this paper, we propose to iteratively correct the bias initial estimator by an estimate of the latter obtained by smoothing the residuals. We examine in detail the convergence of the iterated procedure for classical smoothers and relate our procedure to L{sub 2}-Boosting. We apply our method to simulated and real data and show that our method compares favorably with existing procedures.
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2013-07-31T23:59:59.000Z
This paper presents a parallel state estimation (PSE) implementation using a preconditioned gradient algorithm and an orthogonal decomposition-based algorithm. The preliminary tests against a commercial Energy Management System (EMS) State Estimation (SE) tool using real-world data are performed. The results show that while the precondition gradient algorithm can solve the SE problem quicker with the help of parallel computing techniques, it might not be good for real-world data due to the large condition number of gain matrix introduced by the wide range of measurement weights. With the help of PETSc package and considering one iteration of the SE process, the orthogonal decomposition-based PSE algorithm can achieve 5-20 times speedup comparing against the commercial EMS tool. It is very promising that the developed PSE can solve the SE problem for large power systems at the SCADA rate, to improve grid reliability.
Fast quantum algorithm for numerical gradient estimation
Stephen P. Jordan
2005-01-02T23:59:59.000Z
Given a blackbox for f, a smooth real scalar function of d real variables, one wants to estimate the gradient of f at a given point with n bits of precision. On a classical computer this requires a minimum of d+1 blackbox queries, whereas on a quantum computer it requires only one query regardless of d. The number of bits of precision to which f must be evaluated matches the classical requirement in the limit of large n.
Estimating Energy Savings in Compressed Air Systems
Schmidt, C.; Kissock, J. K.
2004-01-01T23:59:59.000Z
are frequently overestimated because the methods used to estimate savings neglect to consider important factors such as compressor control and type, storage, and multiple compressor operation. In this paper, a methodology is presented for modeling air... compressor performance and calculating projected energy savings from easily obtainable performance data such as full-load power, no-load power, rated capacity, average fraction full-load power or average fraction rated capacity. The methodology...
Budget estimates fiscal year 1995: Volume 10
Not Available
1994-02-01T23:59:59.000Z
This report contains the Nuclear Regulatory Commission (NRC) 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 1995. The NRC 1995 budget request is $546,497,000. This is an increase of $11,497,000 above the proposed level for FY 1994. The NRC FY 1995 budget request is 3,218 FTEs. This is a decrease of 75 FTEs below the 1994 proposed level.
State energy data report 1992: Consumption estimates
Not Available
1994-05-01T23:59:59.000Z
This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.
Crop acreage estimators based on satellite imagery
Vidart, Stephane
1983-01-01T23:59:59.000Z
acreages have been pooled during the creation of the two data sets. Each data set refers to a particular part of the state of Texas. The two regions are shown in Figure 1. The partitioning is made according to crop reporting districts (CRD), which... studies are reported: (1) a comparison of sample behavior with theoretical asymptotic behavior, (2) an evaluation using CAMS data and fixed size sampling units of the improvement of the estimators under the new decision process over the old multinomial...
The TRANSIMS Approach to Emission Estimation
Barth, M.J.; Smith, L.; Thayer, G.R.; Williams, M.D.
1999-02-01T23:59:59.000Z
Transportation systems play a significant role in urban air quality, energy consumption and carbon-dioxide emissions. Recently, it has been found that current systems for estimating emissions of pollutants from transportation devices lead to significant inaccuracies. Most of the existing emission modules use very aggregate representations of traveler behavior and attempt to estimate emissions on typical driving cycles. However, recent data suggests that typical driving cycles produce relatively low emissions with most emissions coming from off-cycle driving, cold-starts, malfunctioning vehicles, and evaporative emissions. TRANSIMS is a simulation system for the analysis of transportation options in metropolitan areas. It's major functional components are: (1) a population disaggregation module, (2) a travel planning module, (3) a regional microsimulation module, and (4) an environmental module. In addition to the major functional components, it includes a strong underpining of simulation science and an analyst's tool box. The purpose of the environmental module is to translate traveler behavior into consequent air quality. The environmental module uses information from the TRANSIMS planner and the microsimulation and it supports the analyst's toolbox. The TRANSIMS system holds the promise of a more complete description of the role of heterogeneity in transportation in emission estimation.
Estimating radiological background using imaging spectroscopy
Bernacki, Bruce E.; Schweppe, John E.; Stave, Sean C.; Jordan, David V.; Kulisek, Jonathan A.; Stewart, Trevor N.; Seifert, Carolyn E.
2014-06-13T23:59:59.000Z
Optical imaging spectroscopy is investigated as a method to estimate radiological background by spectral identification of soils, sediments, rocks, minerals and building materials derived from natural materials and assigning tabulated radiological emission values to these materials. Radiological airborne surveys are undertaken by local, state and federal agencies to identify the presence of radiological materials out of regulatory compliance. Detection performance in such surveys is determined by (among other factors) the uncertainty in the radiation background; increased knowledge of the expected radiation background will improve the ability to detect low-activity radiological materials. Radiological background due to naturally occurring radiological materials (NORM) can be estimated by reference to previous survey results, use of global 40K, 238U, and 232Th (KUT) values, reference to existing USGS radiation background maps, or by a moving average of the data as it is acquired. Each of these methods has its drawbacks: previous survey results may not include recent changes, the global average provides only a zero-order estimate, the USGS background radiation map resolutions are coarse and are accurate only to 1 km – 25 km sampling intervals depending on locale, and a moving average may essentially low pass filter the data to obscure small changes in radiation counts. Imaging spectroscopy from airborne or spaceborne platforms can offer higher resolution identification of materials and background, as well as provide imaging context information. AVIRIS hyperspectral image data is analyzed using commercial exploitation software to determine the usefulness of imaging spectroscopy to identify qualitative radiological background emissions when compared to airborne radiological survey data.
Estimated United States Transportation Energy Use 2005
Smith, C A; Simon, A J; Belles, R D
2011-11-09T23:59:59.000Z
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.
Position estimation of transceivers in communication networks
Kent, Claudia A. (Pleasanton, CA); Dowla, Farid (Castro Valley, CA)
2008-06-03T23:59:59.000Z
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.
Drift estimation from a simple field theory
Mendes, F. M.; Figueiredo, A. [Instituto de Fisica, Universidade de Brasilia, CP: 04455, 70919-970-Brasilia (Brazil)
2008-11-06T23:59:59.000Z
Given the outcome of a Wiener process, what can be said about the drift and diffusion coefficients? If the process is stationary, these coefficients are related to the mean and variance of the position displacements distribution. However, if either drift or diffusion are time-dependent, very little can be said unless some assumption about that dependency is made. In Bayesian statistics, this should be translated into some specific prior probability. We use Bayes rule to estimate these coefficients from a single trajectory. This defines a simple, and analytically tractable, field theory.
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOENurse Triage LinesCytogeneticHowResponseDose Estimates
Nonlinear estimation of water network demands form limited measurement information
Rabie, Ahmed Ibrahim El Said
2009-05-15T23:59:59.000Z
the simulator EPANET using 3 case studies. In the second phase, the estimation formulation was tested using the same 3 case studies with different sensor configurations. In each of the case studies, estimation results are reasonable with fewer sensors than...
Cost and production estimation for a cutter suction dredge
Miertschin, Michael Wayne
1997-01-01T23:59:59.000Z
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 production and cost for clamshell mechanical dredges
Adair, Robert Fletcher
2005-02-17T23:59:59.000Z
methodology for production and cost estimation for clamshell dredge projects. There are current methods of predicting clamshell dredge production which rely on production curves and constant cycle times. This thesis calculates production estimation...
Estimating Power System Dynamic States Using Extended Kalman Filter
Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning
2014-10-31T23:59:59.000Z
Abstract—The state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated “dynamic state estimation” includes true system dynamics reflected in differential equations, not like previously proposed “dynamic state estimation” which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.
Updated Capital Cost Estimates for Utility Scale Electricity
Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii for Utility Scale Electricity Generating Plants ii Contents Introduction
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
Global estimation of precipitation using opaque microwave bands
Chen, Frederick Wey-Min, 1975-
2004-01-01T23:59:59.000Z
This thesis describes the use of opaque microwave bands for global estimation of precipitation rate. An algorithm was developed for estimating instantaneous precipitation rate for the Advanced Microwave Sounding Unit (AMSU) ...
Estimating Wireless Network Properties with Spatial Statistics and Models
Paris-Sud XI, Université de
Estimating Wireless Network Properties with Spatial Statistics and Models Janne Riihij statistics and models for different estimation problems related to wireless networks. We focus specifically wireless networks. We provide a concise survey of existing techniques from the spatial statistics
Statistical estimation of water distribution system pipe break risk
Yamijala, Shridhar
2009-05-15T23:59:59.000Z
and maintenance decisions. A number of statistical methods have been proposed for this estimation problem. This thesis focuses on comparing these statistical models on the basis of short time histories. The goals of this research are to estimate the likelihood...
Estimating Coke and Pepsi's Price and Advertising Strategies
Golan, Amos; Karp, Larry S.; Perloff, Jeffrey M.
1998-01-01T23:59:59.000Z
2b: GME-Nash Estimates of Pepsi’s Strategies (First QuarterStrategy Distributions for Pepsi (First Quarter 1977) a)789 ESTIMATING COKE AND PEPSI'S PRICE ADVERTISING STRATEGIES
Estimating Coke and Pepsi's price and advertising strategies
Golan, Amos; Karp, Larry; Perloff, Jeffrey M.
1999-01-01T23:59:59.000Z
No. 789 ESTIMATING COKE AND PEPSI’ PRICE S AND ADVERTISINGAdvertising Strategies: Coke and Pepsi) by Amos Golan, LarryMarch 1999 Estimating Coke and Pepsi’s Price and Advertising
High-Speed Parameter Estimation Algorithms For Nonlinear Smart Materials
for ferroelectric, ferromagnetic, and ferroelastic materials is the estimation or identification of material alters the position of the cutting head. The nonlinear material behavior creates difficulty whenHigh-Speed Parameter Estimation Algorithms For Nonlinear Smart Materials Jon M. Ernstberger
Sample covariance based estimation of Capon algorithm error probabilities
Richmond, Christ D.
The method of interval estimation (MIE) provides a strategy for mean squared error (MSE) prediction of algorithm performance at low signal-to-noise ratios (SNR) below estimation threshold where asymptotic predictions fail. ...
A Wegner estimate for multi-particle random Hamiltonians
Werner Kirsch
2007-04-20T23:59:59.000Z
We prove a Wegner estimate for a large class of multiparticle Anderson Hamiltonians on the lattice. These estimates will allow us to prove Anderson localization for such systems. A detailed proof of localization will be given in a subsequent paper.
Analysis of power estimation techniques in CDMA systems
Pei, Ying
1999-01-01T23:59:59.000Z
estimation techniques, the expectation maximization (EM) algorithm, the decorrelating estimator and the averaging method, on both AWGN and Rayleigh fading channels. The implementation of the EM algorithm on TMS320C62 is also presented. The performance...
Microsphere estimates of blood flow: Methodological considerations
von Ritter, C.; Hinder, R.A.; Womack, W.; Bauerfeind, P.; Fimmel, C.J.; Kvietys, P.R.; Granger, D.N.; Blum, A.L. (Univ. of the Witwatersrand, Johannesburg (South Africa) Louisianna State Univ. Medical Center, Shreveport (USA) Universitaire Vaudois (Switzerland))
1988-02-01T23:59:59.000Z
The microsphere technique is a standard method for measuring blood flow in experimental animals. Sporadic reports have appeared outlining the limitations of this method. In this study the authors have systematically assessed the effect of blood withdrawals for reference sampling, microsphere numbers, and anesthesia on blood flow estimates using radioactive microspheres in dogs. Experiments were performed on 18 conscious and 12 anesthetized dogs. Four blood flow estimates were performed over 120 min using 1 {times} 10{sup 6} microspheres each time. The effects of excessive numbers of microspheres pentobarbital sodium anesthesia, and replacement of volume loss for reference samples with dextran 70 were assessed. In both conscious and anesthetized dogs a progressive decrease in gastric mucosal blood flow and cardiac output was observed over 120 min. This was also observed in the pancreas in conscious dogs. The major factor responsible for these changes was the volume loss due to the reference sample withdrawals. Replacement of the withdrawn blood with dextran 70 led to stable blood flows to all organs. The injection of excessive numbers of microspheres did not modify hemodynamics to a greater extent than did the injection of 4 million microspheres. Anesthesia exerted no influence on blood flow other than raising coronary flow. The authors conclude that although blood flow to the gastric mucosa and the pancreas is sensitive to the minor hemodynamic changes associated with the microsphere technique, replacement of volume loss for reference samples ensures stable blood flow to all organs over a 120-min period.
Estimates of Savings Achievable from Irrigation Controller
Williams, Alison; Fuchs, Heidi; Whitehead, Camilla Dunham
2014-03-28T23:59:59.000Z
This paper performs a literature review and meta-analysis of water savings from several types of advanced irrigation controllers: rain sensors (RS), weather-based irrigation controllers (WBIC), and soil moisture sensors (SMS).The purpose of this work is to derive average water savings per controller type, based to the extent possible on all available data. After a preliminary data scrubbing, we utilized a series of analytical filters to develop our best estimate of average savings. We applied filters to remove data that might bias the sample such as data self-reported by manufacturers, data resulting from studies focusing on high-water users, or data presented in a non-comparable format such as based on total household water use instead of outdoor water use. Because the resulting number of studies was too small to be statistically significant when broken down by controller type, this paper represents a survey and synthesis of available data rather than a definitive statement regarding whether the estimated water savings are representative.
Cosmological parameter estimation: impact of CMB aberration
Catena, Riccardo [Institut für Theoretische Physik, Friedrich-Hund-Platz 1, 37077 Göttingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de Física Fondamental i Institut de Ciéncies del Cosmos, Universitat de Barcelona, Martí i Franqués 1, 08028 Barcelona (Spain)
2013-04-01T23:59:59.000Z
The peculiar motion of an observer with respect to the CMB rest frame induces an apparent deflection of the observed CMB photons, i.e. aberration, and a shift in their frequency, i.e. Doppler effect. Both effects distort the temperature multipoles a{sub lm}'s via a mixing matrix at any l. The common lore when performing a CMB based cosmological parameter estimation is to consider that Doppler affects only the l = 1 multipole, and neglect any other corrections. In this paper we reconsider the validity of this assumption, showing that it is actually not robust when sky cuts are included to model CMB foreground contaminations. Assuming a simple fiducial cosmological model with five parameters, we simulated CMB temperature maps of the sky in a WMAP-like and in a Planck-like experiment and added aberration and Doppler effects to the maps. We then analyzed with a MCMC in a Bayesian framework the maps with and without aberration and Doppler effects in order to assess the ability of reconstructing the parameters of the fiducial model. We find that, depending on the specific realization of the simulated data, the parameters can be biased up to one standard deviation for WMAP and almost two standard deviations for Planck. Therefore we conclude that in general it is not a solid assumption to neglect aberration in a CMB based cosmological parameter estimation.
Risk Estimation Methodology for Launch Accidents.
Clayton, Daniel James; Lipinski, Ronald J.; Bechtel, Ryan D.
2014-02-01T23:59:59.000Z
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.
adaptive parameter estimation: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Tokamak Heat Computer Technologies and Information Sciences Websites Summary: . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation,...
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,
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
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
Estimating ventilation time scales using overturning stream functions
Döös, Kristofer
Estimating ventilation time scales using overturning stream functions Bijoy Thompson & Jonas 2014 # Springer-Verlag Berlin Heidelberg 2014 Abstract A simple method for estimating ventilation time-enclosed ocean basin ventilated through a narrow strait over a sill, and the result is compared to age estimates
Cardiovascular Signal Decomposition and Estimation with the Extended Kalman Smoother
Cardiovascular Signal Decomposition and Estimation with the Extended Kalman Smoother James Mc of cardiovascular signals that can be used with the extended Kalman filter or smoother to simultaneously estimate with the extended Kalman filter and smoother to estimate and track all the model parameters of interest including
Parameter estimation for energy balance models with memory
Parameter estimation for energy balance models with memory By Lionel Roques1,*, MickaÂ¨el D parameter estimation for one-dimensional energy balance models with mem- ory (EBMMs) given localized estimate is still possible in certain cases. Keywords: age dating; Bayesian inference; energy balance model
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
Fast Error Estimates For Indirect Measurements: Applications To Pavement Engineering
Kreinovich, Vladik
Fast Error Estimates For Indirect Measurements: Applications To Pavement Engineering Carlos that is difficult to measure directly (e.g., lifetime of a pavement, efficiency of an engine, etc). To estimate y computation time. As an example of this methodology, we give pavement lifetime estimates. This work
Accuracy of Contemporary Parametric Software Estimation Models: A Comparative Analysis
Tomkins, Andrew
with delays and being costly and error- prone. Inaccurate estimation of project resources is considered as one the costs, schedule and the resources for IT projects. Software estimation is the process of predicting the effort, duration and cost required to develop a software system [2]. Estimators often rely on one or more
Cost Estimation for Cross-organizational ERP Projects: Research Perspectives
Wieringa, Roel
Cost Estimation for Cross-organizational ERP Projects: Research Perspectives Maya Daneva, Roel There are many methods for estimating size, effort, schedule and other cost aspects of IS projects, but only one domain of cross-organizational ERP cost estimation, to survey available solutions, and to propose
Rank-Based Estimation for GARCH Processes Beth Andrews
Andrews, Beth
Rank-Based Estimation for GARCH Processes Beth Andrews Northwestern University September 7, 2011 Abstract We consider a rank-based technique for estimating GARCH model parameters, some of which are scale transformations of conventional GARCH parameters. The estimators are obtained by minimizing a rank-based residual
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
Spatial Sequence Estimation Based Decoding Algorithm for V-BLAST
Al-Ghadhban, Samir
Spatial Sequence Estimation Based Decoding Algorithm for V-BLAST Maruf Mohammad, Samir Al degrades the performance. A detection algorithm for V-BLAST based on sequence estimation is proposed. The concept of maximum likelihood sequence estimation (MLSE) is applied to combat spatial interference. State
CDF and Survival Function Estimation with Infinite-Order Kernels
Politis, Dimitris N.
) and the survival function is proposed using infinite-order kernels. Fourier transform theory on generalizedCDF and Survival Function Estimation with Infinite-Order Kernels Arthur Berg and Dimitris N sample sizes these estimators can significantly improve the estimation of the CDF and survival function
Prediction-based estimating functions: review and new developments
SĂ¸rensen, Michael
Prediction-based estimating functions: review and new developments Michael SĂ¸rensen University@math.ku.dk March 9, 2011 Abstract The general theory of prediction-based estimating functions for stochastic differential equations. The Pearson diffusions, for which explicit optimal prediction-based estimating func
SNR Estimation in Nakagami Fading with Diversity for Turbo Decoding
Chockalingam, A.
SNR Estimation in Nakagami Fading with Diversity for Turbo Decoding A. RameshÂŁ, A. Chockalingam-Ă? fading channels without di- versity combining and used this estimate in the decoding of turbo codes. Now equal gain diversity combining. We use our SNR estimates in the iterative decoding of turbo codes
Estimation of building occupancy levels through environmental signals deconvolution
Johansson, Karl Henrik
, and ventilation actuation signals in order to identify a dynamic model. The building occupancy estimation problem Abstract We address the problem of estimating the occupancy lev- els in rooms using the information is formulated as a regularized deconvolution problem, where the estimated occupancy is the input that, when
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
2010-09-30T23:59:59.000Z
We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the first in a series of inference uncertainty estimations. While the methods demonstrated are primarily statistical, these do not preclude the use of nonprobabilistic methods for uncertainty characterization. The methods presented permit accurate determinations for validation and eventual prediction. It is a goal that these methods establish a standard against which best practice may evolve for determining degree of validation.
Chauhan, Sanjay S.
of dam failure for use in Dam Safety Risk Assessments. For the emergency preparedness applications inundation characteristics. The scale of estimated consequences associated with dam failure, and especially making up the dam, and the reservoir head and volume at the time of failure. Defining breach parameters
Aldrin, Magne
the Norwegian coast, feed in the Norwegian Sea and adjacent areas, and overwinter in various partsEstimating and decomposing total uncertainty for survey-based abundance estimates of Norwegian uncertainty for survey-based abundance estimates of Norwegian spring-spawning herring. ICES Journal
US Army Corps of Engineers
Recipient Report JOB ESTIMATION The complete jobs estimate guidance in OMB Memorandum M-10-08 can by the Recovery Act for estimates of jobs created or retained and what changes have been made to the job calculation methodology? There are two distinct types of jobs reports that are required in the accountability
Chapter 17: Estimating Net Savings: Common Practices
Violette, D. M.; Rathbun, P.
2014-09-01T23:59:59.000Z
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.
Estimating photometric redshifts with artificial neural networks
Andrew E. Firth; Ofer Lahav; Rachel S. Somerville
2002-10-21T23:59:59.000Z
A new approach to estimating photometric redshifts - using Artificial Neural Networks (ANNs) - is investigated. Unlike the standard template-fitting photometric redshift technique, a large spectroscopically-identified training set is required but, where one is available, ANNs produce photometric redshift accuracies at least as good as and often better than the template-fitting method. The Bayesian priors on the underlying redshift distribution are automatically taken into account. Furthermore, inputs other than galaxy colours - such as morphology, angular size and surface brightness - may be easily incorporated, and their utility assessed. Different ANN architectures are tested on a semi-analytic model galaxy catalogue and the results are compared with the template-fitting method. Finally the method is tested on a sample of ~ 20000 galaxies from the Sloan Digital Sky Survey. The r.m.s. redshift error in the range z < 0.35 is ~ 0.021.
Estimated Water Flows in 2005: United States
Smith, C A; Belles, R D; Simon, A J
2011-03-16T23:59:59.000Z
Flow charts depicting water use in the United States have been constructed from publicly available data and estimates of water use patterns. Approximately 410,500 million gallons per day of water are managed throughout the United States for use in farming, power production, residential, commercial, and industrial applications. Water is obtained from four major resource classes: fresh surface-water, saline (ocean) surface-water, fresh groundwater and saline (brackish) groundwater. Water that is not consumed or evaporated during its use is returned to surface bodies of water. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states in addition to Puerto Rico and the Virgin Islands) and one national water flow chart representing a comprehensive systems view of national water resources, use, and disposition.
FUZZY SUPERNOVA TEMPLATES. II. PARAMETER ESTIMATION
Rodney, Steven A. [Department of Physics and Astronomy, Johns Hopkins University, Baltimore, MD 21218 (United States); Tonry, John L., E-mail: rodney@jhu.ed, E-mail: jt@ifa.hawaii.ed [Institute for Astronomy, University of Hawaii, Honolulu, HI 96822 (United States)
2010-05-20T23:59:59.000Z
Wide-field surveys will soon be discovering Type Ia supernovae (SNe) at rates of several thousand per year. Spectroscopic follow-up can only scratch the surface for such enormous samples, so these extensive data sets will only be useful to the extent that they can be characterized by the survey photometry alone. In a companion paper we introduced the Supernova Ontology with Fuzzy Templates (SOFT) method for analyzing SNe using direct comparison to template light curves, and demonstrated its application for photometric SN classification. In this work we extend the SOFT method to derive estimates of redshift and luminosity distance for Type Ia SNe, using light curves from the Sloan Digital Sky Survey (SDSS) and Supernova Legacy Survey (SNLS) as a validation set. Redshifts determined by SOFT using light curves alone are consistent with spectroscopic redshifts, showing an rms scatter in the residuals of rms{sub z} = 0.051. SOFT can also derive simultaneous redshift and distance estimates, yielding results that are consistent with the currently favored {Lambda}CDM cosmological model. When SOFT is given spectroscopic information for SN classification and redshift priors, the rms scatter in Hubble diagram residuals is 0.18 mag for the SDSS data and 0.28 mag for the SNLS objects. Without access to any spectroscopic information, and even without any redshift priors from host galaxy photometry, SOFT can still measure reliable redshifts and distances, with an increase in the Hubble residuals to 0.37 mag for the combined SDSS and SNLS data set. Using Monte Carlo simulations, we predict that SOFT will be able to improve constraints on time-variable dark energy models by a factor of 2-3 with each new generation of large-scale SN surveys.
Restating artistic value : why do people pay 2,000,000 US.D. for a urinal signed by R. Mutt?
Zavoleas, Ioannis
2004-01-01T23:59:59.000Z
This thesis examines how Marcel Duchamp's artwork Fountain has been reproduced and evaluated over time. The original piece was made in 1917 and was lost soon after it was created. Fountain has become renowned through its ...
IDC RP2 & 3 US Industry Standard Cost Estimate Summary.
Harris, James M.; Huelskamp, Robert M.
2015-01-01T23:59:59.000Z
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.
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.
2012-12-01T23:59:59.000Z
The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) 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).
Dresser, George Brayton
1969-01-01T23:59:59.000Z
are pre- ;ected. The operating ratio is defined and its use for regulatory pur- poses discussed. Procedures for the estimation of operating ratios from CTS and cost data are explained. An approximate formula for the variance of the ratio of two random... 31 TEXAS INTRASTATE TRAFFIC 1967 (Operating Ratio by Actual Weight of Shipment). . 32 TEXAS INTRASTATE TRAFFIC 1967 (Operating Ratio by Number Miles Shipm nt Moved) 33 CHAPTER I STATEMENT QF THE PRGBLEM 1. 1 Introduction The Southwestern...
Research opportunities to improve DSM impact estimates
Misuriello, H.; Hopkins, M.E.F. [Fleming Group, Washington, DC (United States)
1992-03-01T23:59:59.000Z
This report was commissioned by the California Institute for Energy Efficiency (CIEE) as part of its research mission to advance the energy efficiency and productivity of all end-use sectors in California. Our specific goal in this effort has been to identify viable research and development (R&D) opportunities that can improve capabilities to determine the energy-use and demand reductions achieved through demand-side management (DSM) programs and measures. We surveyed numerous practitioners in California and elsewhere to identify the major obstacles to effective impact evaluation, drawing on their collective experience. As a separate effort, we have also profiled the status of regulatory practices in leading states with respect to DSM impact evaluation. We have synthesized this information, adding our own perspective and experience to those of our survey-respondent colleagues, to characterize today`s state of the art in impact-evaluation practices. This scoping study takes a comprehensive look at the problems and issues involved in DSM impact estimates at the customer-facility or site level. The major portion of our study investigates three broad topic areas of interest to CIEE: Data analysis issues, field-monitoring issues, issues in evaluating DSM measures. Across these three topic areas, we have identified 22 potential R&D opportunities, to which we have assigned priority levels. These R&D opportunities are listed by topic area and priority.
AN OVERVIEW OF TOOL FOR RESPONSE ACTION COST ESTIMATING (TRACE)
FERRIES SR; KLINK KL; OSTAPKOWICZ B
2012-01-30T23:59:59.000Z
Tools and techniques that provide improved performance and reduced costs are important to government programs, particularly in current times. An opportunity for improvement was identified for preparation of cost estimates used to support the evaluation of response action alternatives. As a result, CH2M HILL Plateau Remediation Company has developed Tool for Response Action Cost Estimating (TRACE). TRACE is a multi-page Microsoft Excel{reg_sign} workbook developed to introduce efficiencies into the timely and consistent production of cost estimates for response action alternatives. This tool combines costs derived from extensive site-specific runs of commercially available remediation cost models with site-specific and estimator-researched and derived costs, providing the best estimating sources available. TRACE also provides for common quantity and key parameter links across multiple alternatives, maximizing ease of updating estimates and performing sensitivity analyses, and ensuring consistency.
Robust Single-Qubit Process Calibration via Robust Phase Estimation
Shelby Kimmel; Guang Hao Low; Theodore J. Yoder
2015-02-09T23:59:59.000Z
An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].
Quantitative estimation in Health Impact Assessment: Opportunities and challenges
Bhatia, Rajiv, E-mail: rajiv.bhatia@sfdph.or [San Francisco Department of Public Health, CA (United States); Seto, Edmund [University of California at Berkeley, CA (United States)
2011-04-15T23:59:59.000Z
Health Impact Assessment (HIA) considers multiple effects on health of policies, programs, plans and projects and thus requires the use of diverse analytic tools and sources of evidence. Quantitative estimation has desirable properties for the purpose of HIA but adequate tools for quantification exist currently for a limited number of health impacts and decision settings; furthermore, quantitative estimation generates thorny questions about the precision of estimates and the validity of methodological assumptions. In the United States, HIA has only recently emerged as an independent practice apart from integrated EIA, and this article aims to synthesize the experience with quantitative health effects estimation within that practice. We use examples identified through a scan of available identified instances of quantitative estimation in the U.S. practice experience to illustrate methods applied in different policy settings along with their strengths and limitations. We then discuss opportunity areas and practical considerations for the use of quantitative estimation in HIA.
Quantum-enhanced metrology for multiple phase estimation with noise
Jie-Dong Yue; Yu-Ran Zhang; Heng Fan
2014-08-10T23:59:59.000Z
We present a general framework to study the simultaneous estimation of multiple phases in the presence of noise as a discretized model for phase imaging. This approach can lead to nontrivial bounds of the precision for multiphase estimation. Our results show that simultaneous estimation (SE) of multiple phases is always better than individual estimation (IE) of each phase even in noisy environment. However with $d$ being the number of phases, the $O(d)$ advantage in the variance of the estimation, with which SE outperforms IE schemes for noiseless processes, may disappear asymptotically. When noise is low, those bounds recover the Heisenberg scale with the $O(d)$ advantage. The utility of the bound of multiple phase estimation for photon loss channels is exemplified.
Of fishes and birthdays: Efficient estimation of polymer configurational entropies
Nemenman, Ilya; Strauss, Charlie E
2015-01-01T23:59:59.000Z
We present an algorithm to estimate the configurational entropy $S$ of a polymer. The algorithm uses the statistics of coincidences among random samples of configurations and is related to the catch-tag-release method for estimation of population sizes, and to the classic "birthday paradox". Bias in the entropy estimation is decreased by grouping configurations in nearly equiprobable partitions based on their energies, and estimating entropies separately within each partition. Whereas most entropy estimation algorithms require $N\\sim 2^{S}$ samples to achieve small bias, our approach typically needs only $N\\sim \\sqrt{2^{S}}$. Thus the algorithm can be applied to estimate protein free energies with increased accuracy and decreased computational cost.
Stochastic Wireless Channel Modeling, Estimation and Identification from Measurements
Olama, Mohammed M [ORNL; Djouadi, Seddik M [ORNL; Li, Yanyan [ORNL
2008-07-01T23:59:59.000Z
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.
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01T23:59:59.000Z
. The PARCOR parametrization has received considerable attention because of its attractive features. One of these features shows that the magnitudes of the k?'s obtained from the autocorrelation method are guaranteed to be less than one (6]. 10 2. 1. 2... are asymptotically unbiased estimates with covsriance matrix CA, because A are the maximum likelihood estimates. Similarly, the asymptotic probability density function of the PARCOR coeffi- cient estimates K = (kq, ks, ~ ~ ~, k&) is Gaussian and given by f(K...
Fourier Analytic Approach to Quantum Estimation of Group Action
Masahito Hayashi
2014-09-08T23:59:59.000Z
This article proposes a unified method to estimation of group action by using the inverse Fourier transform of the input state. The method provides optimal estimation for commutative and non-commutative group with/without energy constraint. The proposed method can be applied to projective representations of non-compact groups as well as of compact groups. This paper addresses the optimal estimation of R, U(1), SU(2), SO(3), and R^2 with Heisenberg representation under a suitable energy constraint.
Using Photogrammetry to Estimate Tank Waste Volumes from Video
Field, Jim G. [Washington River Protection Solutions, LLC, Richland, WA (United States)
2013-03-27T23:59:59.000Z
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.
Battery Calendar Life Estimator Manual Modeling and Simulation
Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia
2012-10-01T23:59:59.000Z
The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.
Estimation of beef tenderness with the Armour Tenderometer
Culp, Gary Ray
1974-01-01T23:59:59.000Z
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...
Estimation of Highway Maintenance Marginal Cost under Multiple Maintenance Activities
Anani, Shadi B.; Madanat, Samer M
2010-01-01T23:59:59.000Z
Marginal costs for road maintenance and operation - a cost2010-01) Estimation of Highway Maintenance Marginal Costunder Multiple Maintenance Activities Shadi B. Anani 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...
Estimating the Benefits and Costs of Distributed Energy Technologies...
Broader source: Energy.gov (indexed) [DOE]
2014, the Department of Energy hosted a 2-day workshop on "Estimating the Benefits and Costs of Distributed Energy Technologies." The purpose of the workshop was to foster...
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...
ERP SOURCE ESTIMATION BY INTEGRATION OF ANATOMICAL AND
ERP SOURCE ESTIMATION BY INTEGRATION OF ANATOMICAL AND DYNAMICAL CONSTRAINTS Thesis submitted a small EEG signal analysis project under his supervision, in which I applied blind source separation
Efficientt Conditional Quantile Estimation: The Time Series Case
Komunjer, Ivana; Vuong, Quang
2006-01-01T23:59:59.000Z
74) implies E(T U 2 ) = o(1). EFFICIENT QUANTILE ESTIMATIONStatistical Association, EFFICIENT QUANTILE ESTIMATIONSeries Analysis, 4, 185—207. EFFICIENT QUANTILE ESTIMATION (
Mean and covariance matrix adaptive estimation for a weakly ...
2011-01-25T23:59:59.000Z
AMS 2000 subject classification: Primary: 62G05, 62M10; Secondary: 90C15. Key words and phrases: Adaptive estimation, weakly stationary process, stochastic ...
Cost Model and Cost Estimating Software - DOE Directives, Delegations...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
is basically a cost model, which forms the basis for estimating software. g4301-1chp22.pdf -- PDF Document, 190 KB Writer: John Makepeace Subjects: Administration...
Robust quantum parameter estimation: Coherent magnetometry with feedback
Stockton, John K.; Geremia, J.M.; Doherty, Andrew C.; Mabuchi, Hideo [Norman Bridge Laboratory of Physics, Mail Code 12-33, California Institute of Technology, Pasadena, California 91125 (United States)
2004-03-01T23:59:59.000Z
We describe the formalism for optimally estimating and controlling both the state of a spin ensemble and a scalar magnetic field with information obtained from a continuous quantum limited measurement of the spin precession due to the field. The full quantum parameter estimation model is reduced to a simplified equivalent representation to which classical estimation and control theory is applied. We consider both the tracking of static and fluctuating fields in the transient and steady-state regimes. By using feedback control, the field estimation can be made robust to uncertainty about the total spin number.
Quality Guidline for Cost Estimation Methodology for NETL Assessments...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
20111455 National Energy Technology Laboratory Office of Program Performance and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies...
Optimization Online - Sparse/Robust Estimation and Kalman ...
Aleksandr Aravkin
2012-02-29T23:59:59.000Z
Feb 29, 2012 ... Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory. Aleksandr ...
Methodology for Estimating Reductions of GHG Emissions from Mosaic...
Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation AgencyCompany Organization: World Bank Sector: Land Focus Area: Forestry Topics: Co-benefits...
age estimation: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
face Wiskott, Laurenz 7 OPTIMUM ALWCATION FOR ESTIMATING AGE COMPOSITION USING AGE-LENGTH KEY Environmental Sciences and Ecology Websites Summary: OPTIMUM ALWCATION FOR...
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions...
Broader source: Energy.gov (indexed) [DOE]
MDT State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it...
Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation...
Asymptotics and computations for approximation of method of regularization estimators
Lee, Sang-Joon
2005-08-29T23:59:59.000Z
, 1973) and one-sided cross-validation (Hart and Yi, 1998) can be employed for the MOR estimator. Rice (1986) demonstrated that a reasonable choice of the smoothing parameter for making mean squared error small for estimating ? may not be reasonable... in terms of the estimation error incurred for f, and vice versa. O'Sullivan (1986) overviewed various issues in MOR estimation and the solution to ill-posed inverse problems with an extension of CV and related smoothing parameter selection criteria...
Real Time Estimation of Ship Motions Using Kalman Filtering Techniques
Triantafyllou, Michael S.
1983-01-01T23:59:59.000Z
The estimation of the heave, pitch, roll, sway, and yaw motions of a DD-963 destroyer is studied, using Kalman filtering
Brush Busters: How to Estimate Costs for Controlling Pricklypear
Ueckert, Darrell; McGinty, Allan
1999-04-15T23:59:59.000Z
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....
Nonmarket Valuation under Preference Uncertainty: Econometric Models and Estimation
Hanemann, W. Michael; Kristrom, Bengt; Li, Chuan-Zhong
1996-01-01T23:59:59.000Z
3 The EconometricUNCERTAINTY: ECONOMETRIC MODELS AND ESTIMATION bY W. MichaelSection 3 introduces ihe econometric model. Section 4
Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Mass Production Cost Estimation of Direct H 2 PEM Fuel Cell Systems for Transportation Applications: 2012 Update October 18, 2012 Prepared By: Brian D. James Andrew B. Spisak...
Geothermal reservoir temperatures estimated from the oxygen isotope...
reservoir temperatures estimated from the oxygen isotope compositions of dissolved sulfate and water from hot springs and shallow drillholes Jump to: navigation, search OpenEI...
Geothermal Reservoir Temperatures Estimated from the Oxygen Isotope...
Temperatures Estimated from the Oxygen Isotope Compositions of Dissolved Sulfate and Water from Hot Springs and Shallow Drillholes Jump to: navigation, search OpenEI Reference...
Reassessing Wind Potential Estimates for India: Economic and Policy Implications
Phadke, Amol
2012-01-01T23:59:59.000Z
MW installed worldwide. 6 Wind energy costs in India areWe estimate the cost of wind energy and compare it with
,"New York 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 York Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2013...
Estimated Global Mortality Attributable to Smoke from Landscape Fires
2012-01-01T23:59:59.000Z
fine matter Phys shape peat Epidemiol cigarette episode.of carbon Forest, pollution peat approximately grasslandin Southeast Asia in and peat fires Estimated annual La Nińa
amended budget estimates: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
NITROGEN BUDGETS AND N2 FLUX MEASUREMENTS TO ESTIMATE THE ROLE OF DENITRIFICATION IN BROWNFIELD STORMWATER WETLANDS Environmental Sciences and Ecology Websites Summary: and at...
Preliminary relative permeability estimates of methane hydrate-bearing sand
Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis, George J.
2006-01-01T23:59:59.000Z
gas production from gas hydrate reservoirs. We estimated theof gas production from gas hydrate reservoirs. Fieldpermeability function in gas hydrate-bearing sediments is
Estimating atmospheric parameters and reducing noise for multispectral imaging
Conger, James Lynn
2014-02-25T23:59:59.000Z
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.
Clutter, David John
1992-01-01T23:59:59.000Z
Range Estimating Decision Technology (REDT) is a statistical analysis program designed to evaluate the quality of estimates. REDT provides two analysis of an estimate. 1) It evaluates the probability of attaining the estimated cost of a project. 2...
Second order accurate variance estimation in poststratified two-stage sampling
Kim, Kyong Ryun
2007-09-17T23:59:59.000Z
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 are popular...
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31T23:59:59.000Z
This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.
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
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
Interdisciplinary Institute for Innovation Estimating the costs of nuclear
Paris-Sud XI, Université de
Interdisciplinary Institute for Innovation Estimating the costs of nuclear power: benchmarks;1/36 Estimating the costs of nuclear power: benchmarks and uncertainties François Lévęque Introduction The debate and voters that they are being manipulated: each side is just defending its own interests and the true cost
DFMA Cost Estimates of Fuel-Cell/Reformer Systems
Page 1 DFMA Cost Estimates of Fuel-Cell/Reformer Systems at Low/Medium/High Production Rates Brian estimates of complete fuel cell- reformer systems at low/medium/high manufacturing rates to assess of Boothroyd Dewhurst Inc. #12;Page 4 Scope of Project Reformer System Fuel Cell System Fuel Storage What
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
Blind subpixel Point Spread Function estimation from scaled image pairs
Paris-Sud XI, Université de
Blind subpixel Point Spread Function estimation from scaled image pairs Mauricio Delbracio§ Andr, causing aliasing effects. This work introduces a blind algorithm for the subpixel estimation of the point shows that the proposed algorithm reaches the accuracy levels of the best non- blind state
FRACTAL DIMENSION ESTIMATION: EMPIRICAL MODE DECOMPOSITION VERSUS WAVELETS
GonĂ§alves, Paulo
FRACTAL DIMENSION ESTIMATION: EMPIRICAL MODE DECOMPOSITION VERSUS WAVELETS Paulo GoncÂ¸alves INRIA, France. {firstname.lastname}@ens-lyon.fr ABSTRACT We address the problem of fractal dimension estimation motions. Index Terms-- fractal dimension, regularity exponents, wavelet transform, EMD 1. MOTIVATION
Blind Channel Estimation for Orthogonal STBC in MISO Systems
Adve, Raviraj
1 Blind Channel Estimation for Orthogonal STBC in MISO Systems Elzbieta Beres, and Raviraj Adve-input single-output (MISO) systems, with specific focus on Alamouti's code for two transmit antennas of the received signal. Unlike previous blind estimation schemes for MISO systems, the proposed algorithm
Estimating ventilation time scales using overturning stream functions
Döös, Kristofer
Estimating ventilation time scales using overturning stream functions Bijoy Thompson & Jonas for estimating ventilation time scales from overturning stream functions is proposed. The stream function may describing an ide- alized semi-enclosed ocean basin ventilated through a narrow strait over a sill
agronomie: agriculture and environment Estimation des apports de produits phytosanitaires
Paris-Sud XI, Université de
a method to evaluate the input of agrochemicals on an agricultural watershed. First, land use was estimated (RGA). Second, the input of agrochemicals on each cropping was estimated, since 1970, from a survey of agrochemicals was computed as the product of the input of agrochemicals on each cropping and the surface area
Kalman Filter Constraint Switching for Turbofan Engine Health Estimation
Simon, Dan
Kalman Filter Constraint Switching for Turbofan Engine Health Estimation Dan Simon Cleveland State Cleveland, Ohio, 44135 Abstract Kalman filters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman filters some known signal information is often either
Kalman Filtering with Inequality Constraints for Turbofan Engine Health Estimation
Simon, Dan
Kalman Filtering with Inequality Constraints for Turbofan Engine Health Estimation ¤ Dan Simon, OH 44115 Cleveland, OH 44135 Abstract Kalman Żlters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman Żlters some known signal information is often either
Piecewise Linear Instrumental Variable Estimation of Causal Influence Richard Scheines
Spirtes, Peter
studies show that when the causal influence of X on Y is non-linear, the piecewise linear linear IV-estimator. In the final section, we describe an experiment comparing regular regression, linearPiecewise Linear Instrumental Variable Estimation of Causal Influence Richard Scheines Dept
Connectivity Based Location Estimation Scheme for Wireless Ad Hoc Networks
Ramanathan, Parameswaran "Parmesh"
Connectivity Based Location Estimation Scheme for Wireless Ad Hoc Networks Niveditha Sundaram. The loca- tion estimates rely on neighborhood relationships gathered by each user through message, form factors, energy consumption, etc., providing GPS support may not be feasible even in outdoor
Sensitivity of health risk estimates to air quality adjustment procedure
Whitfield, R.G.
1997-06-30T23:59:59.000Z
This letter is a summary of risk results associated with exposure estimates using two-parameter Weibull and quadratic air quality adjustment procedures (AQAPs). New exposure estimates were developed for children and child-occurrences, six urban areas, and five alternative air quality scenarios. In all cases, the Weibull and quadratic results are compared to previous results, which are based on a proportional AQAP.
Calibration as Parameter Estimation in Sensor Networks Kamin Whitehouse
Whitehouse, Kamin
Calibration as Parameter Estimation in Sensor Networks Kamin Whitehouse UC Berkeley Berkeley, CA an ad-hoc localization system for sensor net- works and explain why traditional calibration methods are inadequate for this system. Building upon previous work, we frame calibration as a parameter estimation
Direct Estimation of Noisy Sinusoids Using Abductive Networks
Abdel-Aal, Radwan E.
1 Direct Estimation of Noisy Sinusoids Using Abductive Networks R. E. Abdel-Aal Center for Applied portable apparatus for fast and automated estimation in real time. We propose using abductive network, Machine learning, Abductive networks, Cramer-Rao bounds, Sinusoid, Gaussian noise. Dr. R. E. Abdel-Aal, P
FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL
L'Ecuyer, Pierre
1 FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL Pierre L'Ecuyer, Benoit Martin, controlled by a replacement rule based on age thresholds. We show how to estimate the expected costÂ generative simulation, maintenance models, age replacement policies. #12; 2 L'ECUYER, MARTIN, AND V ' AZQUEZ
FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL
VĂˇzquez-Abad, Felisa J.
FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL Pierre L'Ecuyer, Benoit Martin, controlled by a replacement rule based on age thresholds. We show how to estimate the expected costÂ generative simulation, maintenance models, age replacement policies. #12; L'ECUYER, MARTIN, AND V ' AZQUEZ
Estimation and prediction in spatial models with block composite likelihoods
Reich, Brian J.
Estimation and prediction in spatial models with block composite likelihoods Jo Eidsvik1 , Benjamin, IA 50011, U.S.A. (niemi@iastate.edu) 1 #12;Abstract A block composite likelihood is developed for estimation and prediction in large spatial datasets. The composite likelihood is constructed from the joint
Concurrent signal combining and channel estimation in digital communications
Ormesher, Richard C. (Albuquerque, NM); Mason, John J. (Albuquerque, NM)
2011-08-30T23:59:59.000Z
In the reception of digital information transmitted on a communication channel, a characteristic exhibited by the communication channel during transmission of the digital information is estimated based on a communication signal that represents the digital information and has been received via the communication channel. Concurrently with the estimating, the communication signal is used to decide what digital information was transmitted.
Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands
Szilagyi, Jozsef
region using micrometeorological, energy balance, and remote sensing techniques [Malek et al., 1990 supplies, accurate estimates of evapotranspiration (LE) from arid shrublands of the Southwestern United States are needed to develop or refine basin water budgets. In this work, a novel approach to estimating
A Unified Framework for Designing Optimal STSA Estimators Assuming Maximum
Alwan, Abeer
) estimators for speech enhancement assuming phase equivalence of speech and noise. By assuming additive measure [34], when applied to the Noizeus database [28]. Although single-channel speech enhancement;2 Speech Enhancement, Noise Suppression, Short-Time Spectral Amplitude Estimation, Generalized Gamma
Robust wavelet estimation and blind deconvolution of noisy surface seismics
van der Baan, Mirko
Robust wavelet estimation and blind deconvolution of noisy surface seismics Mirko Van der Baan1 if the bandwidth of the seismic wavelet is narrow to very narrow; that is, if the wavelet bandwidth is similar to its principal frequency. The main problem is to estimate the phase of the wavelet with sufficient
Computer-intensive rate estimation, diverging statistics, and scanning
Politis, Dimitris N.
Computer-intensive rate estimation, diverging statistics, and scanning Tucker McElroy U.S. Bureau in a very general setting without requiring the choice of a tun- ing parameter. The notion of scanning method is ap- plied to different scans, and the resulting estimators are then combined to improve
Revised Manuscript Estimation of Peak Power Dissipation in VLSI Circuits
Pedram, Massoud
and a gate-level circuit structure. Last, but not least, the proposed method produces maximum power estimatesRevised Manuscript 1 Estimation of Peak Power Dissipation in VLSI Circuits Using the Limiting Qiu, Massoud Pedram Department of EE-Systems Univ. of Southern California Los Angeles, CA 90089 Email
Presentation of Master's Project Estimating survival of dormant plants using
Bardsley, John
Presentation of Master's Project Estimating survival of dormant plants using mark-recapture methods By Martha Ellis Plant ecologists are interested in estimating survival and other demographic rates for dormant plants. When dormant, plants may be alive but unobservable for one or more years. When individuals
Savings Estimates for the ENERGY STAR Voluntary Labeling Program
. This paper presents past and predicted savings for the ENERGY STAR Â® labeling program, operated jointly appliances. This report presents savings estimates for a subset of ENERGY STAR program activities, focused primarily on labeled products. We present estimates of the energy, dollar and carbon savings achieved
Advanced EL inspection with predictive estimation of module power loss
with no relation to its significance on potential power degradation 7pi4_robotics GmbH #12;The idea: Estimate power photovoltaic modules due to micro-cracks" #12;Three step approach to estimate power loss PL1 : power loss
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
Dynamic Bayesian Networks model to estimate process availability.
Paris-Sud XI, Université de
Dynamic Bayesian Networks model to estimate process availability. Weber P. Centre de Recherche en reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability of the system availability estimation comparing DBN model with the classical Markov chain model. Keywords
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
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
Gravitational Potential Variations of the Sun and Moon for Estimation
Firoozabadi, Abbas
compressibility in a fractured reservoir is estimated using the pressure response due to gravitational potentialGravitational Potential Variations of the Sun and Moon for Estimation of Reservoir Compressibility Eric Chang,* SPE, and Abbas Firoozabadi, SPE, Reservoir Engineering Research Inst. Summary Total
Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities
Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities by Adam C. Baylin-Stern B.A. & Sc in the estimation of ESUBs from CIMS. Keywords: Elasticity of substitution; hybrid energy-economy model; translog-Stern Degree: Project No.: Master of Resource Management 535 Title of Thesis: Hybrid Simulation Modeling
Estimating Coke and Pepsi's Price and Advertising Strategies Amos Golan*
Lansky, Joshua
Estimating Coke and Pepsi's Price and Advertising Strategies Amos Golan* Larry S. Karp** Jeffrey M strategies in prices and advertising for Coca-Cola and Pepsi-Cola. Separate strategies for each firm theory. We use these methods to estimate the pricing and adver- tising strategies of Coca-Cola and Pepsi
Parameter Estimation from an Optimal Projection in a Local Environment
A. Bijaoui; A. Recio-Blanco; P. de Laverny
2008-11-03T23:59:59.000Z
The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters. The Local MultiLinear Regression (LMLR) algorithms allow one to fit linearly the data in a local environment. The MATISSE algorithm, developed in the context of the estimation of stellar parameters from the Gaia RVS spectra, is connected to this class of estimators. A two-steps procedure was introduced. A raw parameter estimation is first done in order to localize the parameter environment. The parameters are then estimated by projection on specific vectors computed for an optimal estimation. The MATISSE method is compared to the estimation using the objective analysis. In this framework, the kernel choice plays an important role. The environment needed for the parameter estimation can result from it. The determination of a first parameter set can be also avoided for this analysis. These procedures based on a local projection can be fruitfully applied to non linear parameter estimation if the number of data sets to be fitted is greater than the number of models.
Cost estimate guidelines for advanced nuclear power technologies
Delene, J.G.; Hudson, C.R. II.
1990-03-01T23:59:59.000Z
To make comparative assessments of competing technologies, consistent ground rules must be applied when developing cost estimates. This document provides a uniform set of assumptions, ground rules, and requirements that can be used in developing cost estimates for advanced nuclear power technologies. 10 refs., 8 figs., 32 tabs.
JITTER COMPENSATION IN SAMPLING VIA POLYNOMIAL LEAST SQUARES ESTIMATION
Goyal, Vivek K
JITTER COMPENSATION IN SAMPLING VIA POLYNOMIAL LEAST SQUARES ESTIMATION Daniel S. Weller and Vivek Science Email: {dweller, vgoyal}@mit.edu ABSTRACT Sampling error due to jitter, or noise in the sample independent jitter and additive noise, as an alternative to the linear least squares (LLS) estimator. After
Synchronization in Cooperative Networks: Estimation of Multiple Carrier Frequency Offsets
Blostein, Steven D.
and reliability when assuming perfect synchronization [2]. Moreover, even though many coop- erative space coding synchronization is key to future deployments of cooperative networks. Multiple-input-single-output (MISO) systems methods for MISO systems include [5][7]. In [5], a maximum-likelihood estimator (MLE) for CFO estimation
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
Complete System Power Estimation using Processor Performance Events
John, Lizy Kurian
Complete System Power Estimation using Processor Performance Events W. Lloyd Bircher and Lizy K measurement of complete system power consumption. The approach takes advantage of the "trickle-down" effect and existing on-chip performance event counters, it is possible to estimate system power consumption without
Estimating Emissions in Latin America: An Alternative to Traffic Models
Richner, Heinz
Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Ossés de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed
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
Statistical Methods for Estimating the Minimum Thickness Along a Pipeline
along the pipeline can be used to estimate corrosion levels. The traditional parametric model method for this problem is to estimate parameters of a specified corrosion distribution and then to use these parameters companies use pipelines to transfer oil, gas and other materials from one place to another. Manufactures
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
Remote estimation of carbon dioxide uptake by a Mediterranean forest
Garbulsky, MartĂn
to assessing the global carbon budget in a context of climate change (Ciais et al., 2005; Boisvenue & RunningRemote estimation of carbon dioxide uptake by a Mediterranean forest M A R T IÂ´ N F. G A R B U L of the ecology of global change. Current remote sensing methodologies for estimating gross primary productivity
Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions
Paris-Sud XI, Université de
Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions-validation (GCV) and x2 test are compared for the first time under a realistic setting in a mesoscale CO2 estimation, uncertainty quantification, mesoscale carbon dioxide inversions 1. Introduction The atmosphere
Seismic shape parameters estimation and ground-roll suppression using
Spagnolini, Umberto
Seismic shape parameters estimation and ground-roll suppression using vector-sensor beamforming the problem of estimating the shape parameters of seismic wavefields in linear arrays. The purpose of the subsurface layers from the seismic wavefields registered by surface sensors. However, only the waves
GMM Estimation of a Maximum Entropy Distribution with Interval Data
Perloff, Jeffrey M.
GMM Estimation of a Maximum Entropy Distribution with Interval Data Ximing Wu* and Jeffrey M estimate it using a simple yet flexible maximum entropy density. Our Monte Carlo simulations show that the proposed maximum entropy density is able to approximate various distributions extremely well. The two
Kalman filter data assimilation: Targeting observations and parameter estimation
Bellsky, Thomas, E-mail: bellskyt@asu.edu; Kostelich, Eric J.; Mahalov, Alex [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)] [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)
2014-06-15T23:59:59.000Z
This paper studies the effect of targeted observations on state and parameter estimates determined with Kalman filter data assimilation (DA) techniques. We first provide an analytical result demonstrating that targeting observations within the Kalman filter for a linear model can significantly reduce state estimation error as opposed to fixed or randomly located observations. We next conduct observing system simulation experiments for a chaotic model of meteorological interest, where we demonstrate that the local ensemble transform Kalman filter (LETKF) with targeted observations based on largest ensemble variance is skillful in providing more accurate state estimates than the LETKF with randomly located observations. Additionally, we find that a hybrid ensemble Kalman filter parameter estimation method accurately updates model parameters within the targeted observation context to further improve state estimation.
Demonstration of Entanglement-Enhanced Phase Estimation in Solid
Gang-Qin Liu; Yu-Ran Zhang; Yan-Chun Chang; Jie-Dong Yue; Heng Fan; Xin-Yu Pan
2015-04-08T23:59:59.000Z
Precise parameter estimation plays a central role in science and technology. The statistical error in estimation can be decreased by repeating measurement, leading to that the resultant uncertainty of the estimated parameter is proportional to the square root of the number of repetitions in accordance with the central limit theorem. Quantum parameter estimation, an emerging field of quantum technology, aims to use quantum resources to yield higher statistical precision than classical approaches. Here, we report the first room-temperature implementation of entanglement-enhanced phase estimation in a solid-state system: the nitrogen-vacancy centre in pure diamond. We demonstrate a super-resolving phase measurement with two entangled qubits of different physical realizations: an nitrogen-vacancy centre electron spin and a proximal ${}^{13}$C nuclear spin. The experimental data shows clearly the uncertainty reduction when entanglement resource is used, confirming the theoretical expectation. Our results represent an elemental demonstration of enhancement of quantum metrology against classical procedure.
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.; Mercurio, Matthew G.; Schellenberg, Josh A.; Eto, Joseph H.
2010-06-08T23:59:59.000Z
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.
Joint estimation of phase and phase diffusion for quantum metrology
Mihai D. Vidrighin; Gaia Donati; Marco G. Genoni; Xian-Min Jin; W. Steven Kolthammer; M. S. Kim; Animesh Datta; Marco Barbieri; Ian A. Walmsley
2014-10-20T23:59:59.000Z
Phase estimation, at the heart of many quantum metrology and communication schemes, can be strongly affected by noise, whose amplitude may not be known, or might be subject to drift. Here, we investigate the joint estimation of a phase shift and the amplitude of phase diffusion, at the quantum limit. For several relevant instances, this multiparameter estimation problem can be effectively reshaped as a two-dimensional Hilbert space model, encompassing the description of an interferometer phase probed with relevant quantum states -- split single-photons, coherent states or N00N states. For these cases, we obtain a trade-off bound on the statistical variances for the joint estimation of phase and phase diffusion, as well as optimum measurement schemes. We use this bound to quantify the effectiveness of an actual experimental setup for joint parameter estimation for polarimetry. We conclude by discussing the form of the trade-off relations for more general states and measurements.
Appendix C Rate Estimates In order to estimate the time needed to obtain a complete data set for one combination of colliding beams at one energy the following requirements were defined to obtain the model predictions. Also, since emphasis is put on the most central collisions, a 5% trigger is employed
Scarrott, Carl
Spatial Spectral Estimation forSpatial Spectral Estimation for Reactor Modeling and ControlReactor in Magnox nuclear reactors l Establish safe operating limits l Issues: Â Subset of measurements Â Control Modeling and Control Carl Scarrott Granville Tunnicliffe-Wilson Lancaster University, UK c
and joint testing of temporal and spatial patterns in Climate Change Jean-Marc AzaĂŻs, AurĂ©lien Ribes, JournĂ©es climat, Orsay 28 et 29 Janvier 2010 #12;Example: the Mediterranean basin Statistical ModelExample: the Mediterranean basin Statistical Model Estimation Hypothesis testing Estimation
Distributed Dynamic State Estimation with Extended Kalman Filter
Du, Pengwei; Huang, Zhenyu; Sun, Yannan; Diao, Ruisheng; Kalsi, Karanjit; Anderson, Kevin K.; Li, Yulan; Lee, Barry
2011-08-04T23:59:59.000Z
Increasing complexity associated with large-scale renewable resources and novel smart-grid technologies necessitates real-time monitoring and control. Our previous work applied the extended Kalman filter (EKF) with the use of phasor measurement data (PMU) for dynamic state estimation. However, high computation complexity creates significant challenges for real-time applications. In this paper, the problem of distributed dynamic state estimation is investigated. One domain decomposition method is proposed to utilize decentralized computing resources. The performance of distributed dynamic state estimation is tested on a 16-machine, 68-bus test system.
Brush Busters: How to Estimate Costs for Controlling Small Mesquite
Ueckert, Darrell; McGinty, Allan
1999-04-15T23:59:59.000Z
, then calculate the average mesquite density for your pasture. Step 2. Use the graphs to estimate cost per acre. ? Find the appropriate figure in this brochure for the Brush Busters method you will use. (Figure 1 estimates costs for the leaf spray method...) on the left side of the chart. Make a mark on the cost axis. This point is an estimate of what your cost per acre should be in $/acre. Example: If you have an average of 100 small mesquite plants per acre, you?re using the Brush Busters leaf spray method...
MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT
R.E. Sweeney
2001-02-08T23:59:59.000Z
The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.
Optimized replica gas estimation of absolute integrals and partition functions.
Minh, D. (Biosciences Division)
2010-01-01T23:59:59.000Z
In contrast with most Monte Carlo integration algorithms, which are used to estimate ratios, the replica gas identities recently introduced by Adib enable the estimation of absolute integrals and partition functions using multiple copies of a system and normalized transition functions. Here, an optimized form is presented. After generalizing a replica gas identity with an arbitrary weighting function, we obtain a functional form that has the minimal asymptotic variance for samples from two replicas and is provably good for a larger number. This equation is demonstrated to improve the convergence of partition function estimates in a two-dimensional Ising model.
Estimating pixel variances in the scenes of staring sensors
Simonson, Katherine M. (Cedar Crest, NM); Ma, Tian J. (Albuquerque, NM)
2012-01-24T23:59:59.000Z
A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.
Workforce estimates for environmental restoration at Pinellas Plant
April, J.G.; Stahlman, E.J.
1993-10-01T23:59:59.000Z
The purpose of this study was to assist the Pinellas Plant, Largo, Florida, in estimating work-force requirements for the anticipated environmental restoration (ER) mission. Pacific Northwest Laboratory (PNL) has prepared workforce estimates required for ER and the decontamination and decommissioning (D&D) at Pinellas Plant. These estimates are presented in the report and were based on a comparison of several ER projects of similar magnitude, including Elmendorf Air Force Base in Alaska; Hanford in Richland, Washington; and the Radium Chemical D&D project in Queens, New York. The characterization of the Pinellas Plant was based on the RCRA [Resource Conservation and Recovery Act] Facility Investigation Report: Pinellas Plant.
Continuous-Estimator Representation for Monte Carlo Criticality Diagnostics
Kiedrowski, Brian C. [Los Alamos National Laboratory; Brown, Forrest B. [Los Alamos National Laboratory
2012-06-18T23:59:59.000Z
An alternate means of computing diagnostics for Monte Carlo criticality calculations is proposed. Overlapping spherical regions or estimators are placed covering the fissile material with a minimum center-to-center separation of the 'fission distance', which is defined herein, and a radius that is some multiple thereof. Fission neutron production is recorded based upon a weighted average of proximities to centers for all the spherical estimators. These scores are used to compute the Shannon entropy, and shown to reproduce the value, to within an additive constant, determined from a well-placed mesh by a user. The spherical estimators are also used to assess statistical coverage.
Noisy Independent Factor Analysis Model for Density Estimation and Classification
Amato, U.
2009-06-09T23:59:59.000Z
We consider the problem of multivariate density estimation when the unknown density is assumed to follow a particular form of dimensionality reduction, a noisy independent factor analysis (IFA) model. In this model the ...
Control and estimation problems under partially nested information pattern
Gattami, Ather Said
In this paper we study distributed estimation and control problems over graphs under partially nested information patterns. We show a duality result that is very similar to the classical duality result between state ...
Production, Cost, and Soil Compaction Estimates for Two Western Juniper
Dodson, Beth
, Crook County Soil and Water Conservation District, Prineville, OR 97754. ABSTRACT: Harvesting trialsProduction, Cost, and Soil Compaction Estimates for Two Western Juniper Extraction Systems, production rates, and soil compaction impacts of two systems for harvesting western juniper (Juniperus
Cost Estimation Package - DOE Directives, Delegations, and Requirement...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
components (or elements) of the cost estimation package and their documentation. g4301-1chp2.pdf -- PDF Document, 10 KB Writer: John Makepeace Subjects: ID: DOE G 430.1-1 Chp 2...
Use of Cost Estimating Relationships - DOE Directives, Delegations...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
must be aware so the Cost Estimating Relationships can be properly used. g4301-1chp18.pdf -- PDF Document, 41 KB Writer: John Makepeace Subjects: Administration Management...
aided state estimation: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
estimated from the information content Szilagyi, Jozsef 7 STATE AID TO ENTERPRISES IN CROATIA IN 2001 CiteSeer Summary: State aid to enterprises is a form of government...
Multiple phase estimation for arbitrary pure states under white noise
Yao Yao; Li Ge; Xing Xiao; Xiaoguang Wang; C. P. Sun
2014-09-08T23:59:59.000Z
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.
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 ...
Modeling, estimation, and control of robot-soil interactions
Hong, Won, 1971-
2001-01-01T23:59:59.000Z
This thesis presents the development of hardware, theory, and experimental methods to enable a robotic manipulator arm to interact with soils and estimate soil properties from interaction forces. Unlike the majority of ...
A Posteriori Error Estimation for - Department of Mathematics ...
Shuhao Cao supervised under Professor Zhiqiang Cai
2013-10-31T23:59:59.000Z
Oct 19, 2013 ... the “correct” Hilbert space the true flux µ?1?×u lies in, to recover a ...... The error heat map shows that ZZ-patch recovery estimator leads.
Estimation and Fate of New Production in the Marine Environment
McInnes, Allison Skinner
2014-06-03T23:59:59.000Z
new nutrients and the effect on the ecosystem, the effect of currents on our measurements and estimates of export (equivalent to new production), and finally development of a new method which will allow in situ determination of new production...
Applications of the Bayesian approach for experimentation and estimation
De Man, Patrick A. P. (Patrick Antonius Petrus)
2006-01-01T23:59:59.000Z
A Bayesian framework for systematic data collection and parameter estimation is proposed to aid experimentalists in effectively generating and interpreting data. The four stages of the Bayesian framework are: system ...
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 ...
The Effect of Signal Quality on Six Cardiac Output Estimators
Mark, Roger Greenwood
The effect of signal quality on the accuracy of cardiac output (CO) estimation from arterial blood pressure (ABP) was evaluated using data from the MIMIC II database. Thermodilution CO (TCO) was the gold standard. A total ...
In silico estimates of cell electroporation by electrical incapacitation waveforms
Weaver, James C.
We use a system model of a cell and approximate magnitudes of electrical incapacitation (EI) device waveforms to estimate conditions that lead to responses with or without electroporation (EP) of cell membranes near ...
Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled
Reports and Publications (EIA)
2000-01-01T23:59:59.000Z
The findings described here compare odometer readings with self-reported estimates of Vehicle Miles Traveled (VMT) to investigate to what extent self-reported VMT is a reliable surrogate for odometer-based VMT.
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.
2010-01-01T23:59:59.000Z
and costs per annual kWh. Cost estimates are provided forper event, costs per average kW, costs per un-served kWhinvestments: 1. Cost per un-served kWh is substantially
Enhancement of satellite precipitation estimation via unsupervised dimensionality reduction
Mahrooghy, Majid [Mississippi State University (MSU); Younan, Nicolas H. [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Aanstoos, James [Mississippi State University (MSU)
2012-01-01T23:59:59.000Z
A methodology to enhance Satellite Precipitation Estimation (SPE) using unsupervised dimensionality reduction (UDR) techniques is developed. This enhanced technique is an extension to the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network (PERSIANN) and Cloud Classification System (CCS) method (PERSIANN-CCS) enriched using wavelet features combined with dimensionality reduction. Cloud-top brightness temperature measurements from Geostationary Operational Environmental Satellite (GOES-12) are used for precipitation estimation at 4 km 4 km spatial resolutions every 30 min. The study area in the continental United States covers parts of Louisiana, Arkansas, Kansas, Tennessee, Mississippi, and Alabama. Based on quantitative measures, root mean square error (RMSE) and Heidke skill score (HSS), the results show that the UDR techniques can improve the precipitation estimation accuracy. In addition, ICA is shown to have better performance than other UDR techniques; and in some cases, it achieves 10% improvement in the HSS.
Transition state theory: Variational formulation, dynamical corrections, and error estimates
Van Den Eijnden, Eric
Transition state theory: Variational formulation, dynamical corrections, and error estimates Eric, Brazil Received 18 February 2005; accepted 9 September 2005; published online 7 November 2005 Transition which aim at computing dynamical corrections to the TST transition rate constant. The theory
Estimating A Shear Modulus Of A Transversely Isotropic Formation
Ellefsen, K. J.
1990-01-01T23:59:59.000Z
A method to estimate c[subscript 66], which is a shear modulus of a transversely isotropic formation (with its symmetry axis parallel to the borehole), is developed and tested. The inversion for c[subscript 66] is based ...
Nonparametric function estimation with infinite-order kernels and applications
Berg, Arthur Steven
2007-01-01T23:59:59.000Z
2.5.3 GARCH Model . . . . . . . . . . . . . . . . . 2.5.4N = 2000. . . estimates on garch data for N = 200 and N =data. . Histograms based on garch data. . Histograms based
Estimating the Potential Impact of Renewable Energy on the Caribbean
Kammen, Daniel M.
Estimating the Potential Impact of Renewable Energy on the Caribbean Job Sector Rebekah Shirley renewable energy projects within the Caribbean region. We present a model scenario where together energy
Nonlinear bayesian filtering with applications to estimation and navigation
Lee, Deok-Jin
2005-08-29T23:59:59.000Z
In principle, general approaches to optimal nonlinear filtering can be described in a unified way from the recursive Bayesian approach. The central idea to this recur- sive Bayesian estimation is to determine the probability density function...
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
Empirical Estimates of 0Day Vulnerabilities in Control Systems
Miles A. McQueen; Wayne F. Boyer; Sean M. McBride; Trevor A. McQueen
2009-01-01T23:59:59.000Z
We define a 0Day vulnerability to be any vulnerability, in deployed software, which has been discovered by at least one person but has not yet been publicly announced or patched. These 0Day vulnerabilities are of particular interest when assessing the risk to well managed control systems which have already effectively mitigated the publicly known vulnerabilities. In these well managed systems the risk contribution from 0Days will have proportionally increased. To aid understanding of how great a risk 0Days may pose to control systems, an estimate of how many are in existence is needed. Consequently, using the 0Day definition given above, we developed and applied a method for estimating how many 0Day vulnerabilities are in existence on any given day. The estimate is made by: empirically characterizing the distribution of the lifespans, measured in days, of 0Day vulnerabilities; determining the number of vulnerabilities publicly announced each day; and applying a novel method for estimating the number of 0Day vulnerabilities in existence on any given day using the number of vulnerabilities publicly announced each day and the previously derived distribution of 0Day lifespans. The method was first applied to a general set of software applications by analyzing the 0Day lifespans of 491 software vulnerabilities and using the daily rate of vulnerability announcements in the National Vulnerability Database. This led to a conservative estimate that in the worst year there were, on average, 2500 0Day software related vulnerabilities in existence on any given day. Using a smaller but intriguing set of 15 0Day software vulnerability lifespans representing the actual time from discovery to public disclosure, we then made a more aggressive estimate. In this case, we estimated that in the worst year there were, on average, 4500 0Day software vulnerabilities in existence on any given day. We then proceeded to identify the subset of software applications likely to be used in some control systems, analyzed the associated subset of vulnerabilities, and characterized their lifespans. Using the previously developed method of analysis, we very conservatively estimated 250 control system related 0Day vulnerabilities in existence on any given day. While reasonable, this first order estimate for control systems is probably far more conservative than those made for general software systems since the estimate did not include vulnerabilities unique to control system specific components. These control system specific vulnerabilities were unable to be included in the estimate for a variety of reasons with the most problematic being that the public announcement of unique control system vulnerabilities is very sparse. Consequently, with the intent to improve the above 0Day estimate for control systems, we first identified the additional, unique to control systems, vulnerability estimation constraints and then investigated new mechanisms which may be useful for estimating the number of unique 0Day software vulnerabilities found in control system components. We proceeded to identify a number of new mechanisms and approaches for estimating and incorporating control system specific vulnerabilities into an improved 0Day estimation method. These new mechanisms and approaches appear promising and will be more rigorously evaluated during the course of the next year.
A Simple, Fast Method of Estimating Fractured Reservoir Geometry...
Simple, Fast Method of Estimating Fractured Reservoir Geometry from Tracer Tests Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: A Simple, Fast...
Estimation of dibaryon (OO) yields at RHIC energies
Zhong-Dao Lu
2002-07-02T23:59:59.000Z
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.
An uncertainty principle, Wegner estimates and localization near fluctuation boundaries
Anne Boutet de Monvel; Daniel Lenz; Peter Stollmann
2009-05-18T23:59:59.000Z
We prove a simple uncertainty principle and show that it can be applied to prove Wegner estimates near fluctuation boundaries. This gives new classes of models for which localization at low energies can be proven.
Efficient Estimation in a Regression Model with Missing Responses
Crawford, Scott
2012-10-19T23:59:59.000Z
This article examines methods to efficiently estimate the mean response in a linear model with an unknown error distribution under the assumption that the responses are missing at random. We show how the asymptotic variance is affected...
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
2001-12-06T23:59:59.000Z
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.
Reassessing Wind Potential Estimates for India: Economic and Policy Implications
Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet
2011-09-15T23:59:59.000Z
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.
Estimation of hydrologic properties of an unsaturated, fractured rock mass
Klavetter, E.A.; Peters, R.R.
1986-07-01T23:59:59.000Z
In this document, two distinctly different approaches are used to develop continuum models to evaluate water movement in a fractured rock mass. Both models provide methods for estimating rock-mass hydrologic properties. Comparisons made over a range of different tuff properties show good qualitative and quantitative agreement between estimates of rock-mass hydrologic properties made by the two models. This document presents a general discussion of: (1) the hydrology of Yucca Mountain, and the conceptual hydrological model currently being used for the Yucca Mountain site, (2) the development of two models that may be used to estimate the hydrologic properties of a fractured, porous rock mass, and (3) a comparison of the hydrologic properties estimated by these two models. Although the models were developed in response to hydrologic characterization requirements at Yucca Mountain, they can be applied to water movement in any fractured rock mass that satisfies the given assumptions.
Resolvent estimates and local decay of waves on conic manifolds
Dean Baskin; Jared Wunsch
2012-10-01T23:59:59.000Z
We consider manifolds with conic singularites that are isometric to $\\mathbb{R}^{n}$ outside a compact set. Under natural geometric assumptions on the cone points, we prove the existence of a logarithmic resonance-free region for the cut-off resolvent. The estimate also applies to the exterior domains of non-trapping polygons via a doubling process. The proof of the resolvent estimate relies on the propagation of singularities theorems of Melrose and the second author to establish a "very weak" Huygens' principle, which may be of independent interest. As applications of the estimate, we obtain a exponential local energy decay and a resonance wave expansion in odd dimensions, as well as a lossless local smoothing estimate for the Schr{\\"o}dinger equation.
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01T23:59:59.000Z
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 ...
Lane estimation for autonomous vehicles using vision and LIDAR
Huang, Albert Shuyu
2010-01-01T23:59:59.000Z
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 ...
Jitter compensation in sampling via polynomial least squares estimation
Weller, Daniel Stuart
Sampling error due to jitter, or noise in the sample times, affects the precision of analog-to-digital converters in a significant, nonlinear fashion. In this paper, a polynomial least squares (PLS) estimator is derived ...
On the Estimation of Nonrandom Signal Coefficients From Jittered Samples
Goyal, Vivek K.
This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive, independent identically distributed (i.i.d.) Gaussian noise, where ...
Preliminary relative permeability estimates of methanehydrate-bearing sand
Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.
2006-05-08T23:59:59.000Z
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.
Preliminary relative permeability estimates of methanehydrate-bearing sand
Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.
2006-05-08T23:59:59.000Z
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.
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
Estimating erosional exhumation on Titan from drainage network morphology
Perron, Taylor
, to estimate cumulative erosion into an initially rough surface. We calibrate this method with a numerical the Cassini spacecraft. While Titan does not host a global surface ocean, Synthetic Aperture Radar (SAR
Estimating material and energy intensities of urban areas
Quinn, David James, Ph. D. Massachusetts Institute of Technology
2012-01-01T23:59:59.000Z
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 ...
aerodynamic loads estimated: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
of sector 78 1. The estimate of the helium inventory, a prerequisite for the heat load calculation, is also presented. Heat loads to the cold mass are evaluated from the...
Estimation of Random-Coefficient Demand Models: Two Empiricists' Perspective
Metaxoglou, Konstantinos
We document the numerical challenges we experienced estimating random-coefficient demand models as in Berry, Levinsohn, and Pakes (1995) using two well-known data sets and a thorough optimization design. The optimization ...
Genetic parameter estimation of mohair production traits in Angora goats
Podisi, Baitsi
1998-01-01T23:59:59.000Z
analyzed included fiber diameter (FD; n = 4329), grease fleece weight (FW; n = 7073), body weight (BW; n = 4171) and fertility (FERT; n = 2118). Heritability estimates were obtained for all the traits using REML procedures with a multivariate animal model...
Reassessing Wind Potential Estimates for India: Economic and Policy Implications
Phadke, Amol
2012-01-01T23:59:59.000Z
planning, policies, and programs, wind energy can be a coreof Wind Integration in the Tamil Nadu Grid. Energy PolicyEnergy Technologies Division Reassessing Wind Potential Estimates for India: Economic and Policy
Web integrated cost estimation system in architecture education
Darapureddy, K.S. Kiran
2001-01-01T23:59:59.000Z
these objectives a Web-based cost estimation system has been developed. This software has been developed using Active Server Pages (ASP), Microsoft Access database, Structured Query Language (SQL) and the Internet technology. In order to find students' inclination...
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 ...
Estimation of food consumption. Hanford Environmental Dose Reconstruction Project
Callaway, J.M. Jr.
1992-04-01T23:59:59.000Z
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
Seismic fragility estimates for reinforced concrete framed buildings
Ramamoorthy, Sathish Kumar
2007-04-25T23:59:59.000Z
story drift given the spectral acceleration at the fundamental period of the building. The unknown parameters of the demand models are estimated using the simulated response data obtained from nonlinear time history analyses of the structural models...
A Measurement Study of Available Bandwidth Estimation Jacob Strauss
Gummadi, Ramakrishna
A Measurement Study of Available Bandwidth Estimation Tools Jacob Strauss jastr@mit.edu Dina are not made or distributed for profit or commercial advantage and that copies bear this notice and the full
Mesoscale predictability and background error convariance estimation through ensemble forecasting
Ham, Joy L
2002-01-01T23:59:59.000Z
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 associated with the best...
EM algorithm estimation of TCM scheme over multipath fading
Gunawan, Wiedy
1997-01-01T23:59:59.000Z
The performance of Trellis Coded Modulation scheme via Expectation-Maximization algorithm utilizing a Kalman filter over multipath fading is presented. EM algorithm offers an easier computation than the classical ML estimation does. To get a better...
Some methods of estimating uncertainty in accident reconstruction
Milan Batista
2011-07-20T23:59:59.000Z
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.
A Comparative Study of Estimation Models for Satellite Relative Motion
Desai, Uri
2013-01-31T23:59:59.000Z
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 ...
Direct estimation of gas reserves using production data
Buba, Ibrahim Muhammad
2004-09-30T23:59:59.000Z
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, ...
State energy data report: Consumption estimates, 1960--1987
Not Available
1989-04-20T23:59:59.000Z
The State Energy Data Report presents estimates of annual energy consumption at the state and national levels by major economic sector and by principal energy type for 1960 through 1987. Included in the report are documentation describing how the estimates were made for each energy source, sources of all input data, and a summary of changes from the State Energy Data Report published in April 1988.
Dynamic State Estimation Utilizing High Performance Computing Methods
Schneider, Kevin P.; Huang, Zhenyu; Yang, Bo; Hauer, Matthew L.; Nieplocha, Jaroslaw
2009-03-18T23:59:59.000Z
The state estimation tools which are currently deployed in power system control rooms are based on a quasi-steady-state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper presents an overview of the Kalman Filtering process and then focuses on the implementation of the predication component on multiple processors.
Using doppler radar images to estimate aircraft navigational heading error
Doerry, Armin W. (Albuquerque, NM); Jordan, Jay D. (Albuquerque, NM); Kim, Theodore J. (Albuquerque, NM)
2012-07-03T23:59:59.000Z
A yaw angle error of a motion measurement system carried on an aircraft for navigation is estimated from Doppler radar images captured using the aircraft. At least two radar pulses aimed at respectively different physical locations in a targeted area are transmitted from a radar antenna carried on the aircraft. At least two Doppler radar images that respectively correspond to the at least two transmitted radar pulses are produced. These images are used to produce an estimate of the yaw angle error.
Logit Models for Estimating Urban Area Through Travel
Talbot, Eric
2011-10-21T23:59:59.000Z
LOGIT MODELS FOR ESTIMATING URBAN AREA THROUGH TRAVEL A Thesis by ERIC TALBOT Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE August 2010 Major Subject: Civil Engineering LOGIT MODELS FOR ESTIMATING URBAN AREA THROUGH TRAVEL A Thesis by ERIC TALBOT 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)
2010-03-16T23:59:59.000Z
Techniques are described for estimating the propagation velocity through a surface acoustic wave sensor. In particular, techniques which measure and exploit a proper segment of phase frequency response of the surface acoustic wave sensor are described for use as a basis of bacterial detection by the sensor. As described, use of velocity estimation based on a proper segment of phase frequency response has advantages over conventional techniques that use phase shift as the basis for detection.
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)
2011-06-28T23:59:59.000Z
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.
Dynamics of Noncommutative Solitons I: Spectral Theory and Dispersive Estimates
August J. Krueger; Avy Soffer
2014-11-16T23:59:59.000Z
We consider the Schr\\"odinger equation with a Hamiltonian given by a second order difference operator with nonconstant growing coefficients, on the half one dimensional lattice. This operator appeared first naturally in the construction and dynamics of noncommutative solitons in the context of noncommutative field theory. We prove pointwise in time decay estimates, with the optimal decay rate $t^{-1}\\log^{-2}t$ generically. We use a novel technique involving generating functions of orthogonal polynomials to achieve this estimate.
Estimation and specification tests of count data recreation demand functions
Gomez, Irma Adriana
1991-01-01T23:59:59.000Z
is ultimately used to compute consumer surplus for natural resource policy analysis. Data from population-wide surveys, although not collected quite as frequently as user survey data, are also useful for estimating recreation demand functions. However, data... of distributions. They specify the mean and variance of the Katz distribution under the alternative to be p. ; and (lt; + u p. ; ), 2-k respectively. In this case, the Poisson estimator is obtain when u = 0. This suggest that a test for the null against...
Empirical Study of MacroBIM and Conceptual Estimation
Gajbhiye, Anand Dhanraj
2011-08-08T23:59:59.000Z
of _________ This thesis follows the style of Journal of Construction Engineering and Management. 2 construction. For this reason, conceptual estimation has been of real importance for the three main actors of the construction industry, i.e. designer, owner... the historical cost database provided by ENR for the multistory steel framed office buildings. According to him, since the costs books provides the cost based on just the gross floor area of the building, it results into the variabilities in the estimated...
Global emission estimates and radiative impact of C4
Global emission estimates and radiative impact of C4 F10 , C5 F12 , C6 F14 , C7 F16 and C8 F18 Chemistry and Physics Global emission estimates and radiative impact of C4F10, C5F12, C6F14, C7F16 and C8F18): decafluorobu- tane (C4F10), dodecafluoropentane (C5F12), tetradecafluo- rohexane (C6F14), hexadecafluoroheptane
Multidimentional Poverty in Bhutan: Estimates and Policy Implications
Santos, Maria Emma; Ura, Karma
2008-01-01T23:59:59.000Z
Multidimensional Poverty in Bhutan: Estimates and Policy Implications Maria Emma Santos* and Karma Ura** Abstract This paper estimates multidimensional poverty in Bhutan applying a recently developed methodology by Alkire and Foster (2007... Investigaciones Cientificas y Tecnicas (CONICET)-Universidad Nacional del Sur, Argentina. ** President, The Centre for Bhutan Studies, Thimphu. Journal of Bhutan Studies 2 1. Introduction Fostered by Sen’s (1985, 1990, 1999) pioneering ‘capability...
Estimating Externalities of Hydro Fuel Cycles, Report 6
Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.
1994-12-01T23:59:59.000Z
There are three major objectives of this hydropower study: (1) to implement the methodological concepts that were developed in the background document (ORNL/RFF 1992) as a means of estimating the external costs and benefits of fuel cycles and, by so doing, to demonstrate their application to the hydroelectric fuel cycle (different fuel cycles have unique characteristics that need to be addressed in different ways); (2) to develop, given the time and resources, the best range of estimates of externalities associated with hydroelectric projects, using two benchmark projects at two reference sites in the US; and (3) to assess the state of the information that is available to support the estimation of externalities associated with the hydroelectric fuel cycle and, by so doing, to assist in identifying gaps in knowledge and in setting future research agendas. The main consideration in defining these objectives was a desire to have more information about externalities and a better method for estimating them. As set forth in the agreement between the US and the EC, the study is explicitly and intentionally not directed at any one audience. This study is about a methodology for estimating externalities. It is not about how to use estimates of externalities in a particular policy context.
On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation
Mahrooghy, Majid [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Younan, Nicolas H. [Mississippi State University (MSU); Aanstoos, James [Mississippi State University (MSU); Hsu, Kuo-Lin [University of California, Irvine
2012-01-01T23:59:59.000Z
By employing wavelet and selected features (WSF), median merging (MM), and selected curve-fitting (SCF) techniques, the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) has been improved. The PERSIANN-CCS methodology includes the following four main steps: 1) segmentation of satellite cloud images into cloud patches, 2) feature extraction, 3) classification of cloud patches, and 4) derivation of the temperature rain-rate (T R) relationship for every cluster. The enhancements help improve step 2 by employing WSF, and step 4 by employing MM and SCF. For the study area herein, the results show that the enhanced methodology improves the equitable threat score (ETS) of the daily and hourly rainfall estimates mostly in the winter and fall. The ETS percentage improvement is about 20% for the daily (10% for hourly) estimates in the winter, 10% for the daily (8% for hourly) estimates in the fall, and at most 5% for the daily estimates in the summer at some rainfall thresholds. In the winter and fall, the area bias is improved almost at all rainfall thresholds for daily and hourly estimates. However, no significant improvement is obtained in the spring, and the area bias in the summer is also greater than that of the implemented PERSIANN-CCS algorithm.
Quantum phase estimation using a multi-headed cat state
Su-Yong Lee; Chang-Woo Lee; Hyunchul Nha; Dagomir Kaszlikowski
2015-03-12T23:59:59.000Z
It was recently shown that an entangled coherent state, which is a superposition of two different coherent states, can surpass the performance of N00N state in estimating an unknown phase-shift. This may hint at further enhancement in phase estimation by incorporating more component states in the superposition of resource state. We here study a four-headed cat state (4HCS), a superposition of four different coherent states, and propose its application to quantum phase estimation. We first investigate how the 4HCS is more nonclassical than a 2HCS in view of some nonclassical measures including sub-Poissonian statistics, negativity of Wigner distribution, and entanglement potential. We then demonstrate the enhanced performance in phase estimation by employing an entangled state via the 4HCS, which can surpass that of the 2HCS particularly in the regime of small average photon number. Moreover, we show that an entangled state modified from the 4HCS can further enhance the phase estimation even in the regime of large average photon number under a photon-loss channel. Our investigation further extends to incorporate an increasingly large number of component states in the resource superposition state and clearly show its merit in phase estimation.
Verification of unfold error estimates in the unfold operator code
Fehl, D.L.; Biggs, F. [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)] [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)
1997-01-01T23:59:59.000Z
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.}
Quantum phase estimation using a multi-headed cat state
Su-Yong Lee; Chang-Woo Lee; Hyunchul Nha; Dagomir Kaszlikowski
2015-05-16T23:59:59.000Z
It was recently shown that an entangled coherent state, which is a superposition of two different coherent states, can surpass the performance of noon state in estimating an unknown phase-shift. This may hint at further enhancement in phase estimation by incorporating more component states in the superposition of resource state. We here introduce a four-headed cat state (4HCS), a superposition of four different coherent states, and propose its application to quantum phase estimation. We demonstrate the enhanced performance in phase estimation by employing an entangled state via the 4HCS, which can surpass that of the two-headed cat state (2HCS), particularly in the regime of small average photon numbers. Moreover, we show that an entangled state modified from the 4HCS can further enhance the phase estimation, even in the regime of large average photon number under a photon-loss channel. Our investigation further extends to incorporate an increasingly large number of component states in the resource superposition state and clearly show its merit in phase estimation.
Occupational dose estimates for a monitored retrievable storage facility
Harty, R.; Stoetzel, G.A.
1986-06-01T23:59:59.000Z
Occupational doses were estimated for radiation workers at the monitored retrievable storage (MRS) facility. This study provides an estimate of the occupational dose based on the current MRS facility design, examines the extent that various design parameters and assumptions affect the dose estimates, and identifies the areas and activities where exposures can be reduced most effectively. Occupational doses were estimated for both the primary storage concept and the alternate storage concept. The dose estimates indicate the annual dose to all radiation workers will be below the 5 rem/yr federal dose equivalent limit. However, the estimated dose to most of the receiving and storage crew (the workers responsible for the receipt, storage, and surveillance of the spent fuel and its subsequent retrieval), to the crane maintenance technicians, and to the cold and remote maintenance technicians is above the design objective of 1 rem/yr. The highest annual dose is received by the riggers (4.7 rem) in the receiving and storage crew. An indication of the extent to which various design parameters and assumptions affect the dose estimates was obtained by changing various design-based assumptions such as work procedures, background dose rates in radiation zones, and the amount of fuel received and stored annually. The study indicated that a combination of remote operations, increased shielding, and additional personnel (for specific jobs) or changes in operating procedures will be necessary to reduce worker doses below 1.0 rem/yr. Operations that could be made at least partially remote include the removal and replacement of the tiedowns, impact limiters, and personnel barriers from the shipping casks and the removal or installation of the inner closure bolts. Reductions of the background dose rates in the receiving/shipping and the transfer/discharge areas may be accomplished with additional shielding.
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.
2008-11-21T23:59:59.000Z
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.
Analysis of neutron scattering data: Visualization and parameter estimation
Beauchamp, J.J.; Fedorov, V.; Hamilton, W.A.; Yethiraj, M.
1998-09-01T23:59:59.000Z
Traditionally, small-angle neutron and x-ray scattering (SANS and SAXS) data analysis requires measurements of the signal and corrections due to the empty sample container, detector efficiency and time-dependent background. These corrections are then made on a pixel-by-pixel basis and estimates of relevant parameters (e.g., the radius of gyration) are made using the corrected data. This study was carried out in order to determine whether treatment of the detector efficiency and empty sample cell in a more statistically sound way would significantly reduce the uncertainties in the parameter estimators. Elements of experiment design are shortly discussed in this paper. For instance, we studied the way the time for a measurement should be optimally divided between the counting for signal, background and detector efficiency. In Section 2 we introduce the commonly accepted models for small-angle neutron and x-scattering and confine ourselves to the Guinier and Rayleigh models and their minor generalizations. The traditional approaches of data analysis are discussed only to the extent necessary to allow their comparison with the proposed techniques. Section 3 describes the main stages of the proposed method: visual data exploration, fitting the detector sensitivity function, and fitting a compound model. This model includes three additive terms describing scattering by the sampler, scattering with an empty container and a background noise. We compare a few alternatives for the first term by applying various scatter plots and computing sums of standardized squared residuals. Possible corrections due to smearing effects and randomness of estimated parameters are also shortly discussed. In Section 4 the robustness of the estimators with respect to low and upper bounds imposed on the momentum value is discussed. We show that for the available data set the most accurate and stable estimates are generated by models containing double terms either of Guinier's or Rayleigh's type. The optimal partitioning of the total experimental time between measuring various signals is discussed in Section 5. We applied a straightforward optimization instead of some special experimental techniques because of the numerical simplicity of the corresponding problem. As a criterion of optimality we selected the variance of the gyration radius maximum likelihood estimator. The statistical background of the proposed approach is given in the appendix. The properties of the maximum likelihood estimators and the corresponding iterated estimator together with its possible numerical realization are presented in subsection A.1. In subsection A.2 we prove that the use of a compound model leads to more efficient estimators than a stage-wise analysis of different components entering that model.
ML BLIND CHANNEL ESTIMATION IN OFDM USING CYCLOSTATIONARITY AND SPECTRAL FACTORIZATION
Quadeer, Ahmed Abdul
ML BLIND CHANNEL ESTIMATION IN OFDM USING CYCLOSTATIONARITY AND SPECTRAL FACTORIZATION A. A is vital in OFDM systems for efficient data recovery. In this paper, we propose a blind algorithm. Index Terms-- Blind channel estimation, Maximum likelihood estimation, Spectral factorization
Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations
Konopacki, S.J.
2010-01-01T23:59:59.000Z
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
Methods for Rapid Estimation of Motor Input Power in HVAC Assessments
Christman, Kevin D.
2011-08-08T23:59:59.000Z
In preliminary building energy assessments, it is often desired to estimate a motor's input power. Motor power estimates in this context should be rapid, safe, and noninvasive. Existing methods for motor input power estimation, such as direct...
Application of the Continuous EUR Method to Estimate Reserves in Unconventional Gas Reservoirs
Currie, Stephanie M.
2010-10-12T23:59:59.000Z
to generate a time-dependent profile of the estimated ultimate recovery (EUR). The "objective" is to estimate the final EUR value(s) from several complimentary analyses. In this work we present the "Continuous EUR Method" to estimate reserves...
Cash Flow and Discount Rate news estimation: which method to choose?
Khimich, Natalya V.
2012-01-01T23:59:59.000Z
form the VAR method . Implied Cost of Capital estimates byt+1 . TABLE 3: Cost of Capital Estimates by Year Year Numberdifferent estimates of the implied cost of capital. See
Demonstration of Entanglement-Enhanced Phase Estimation in Solid
Gang-Qin Liu; Yu-Ran Zhang; Yan-Chun Chang; Jie-Dong Yue; Heng Fan; Xin-Yu Pan
2014-08-03T23:59:59.000Z
Precise parameter estimation plays a central role in science and technology. The statistical error in estimation can be decreased by repeating measurement, leading to that the resultant uncertainty of the estimated parameter is proportional to the square root of the number of repetitions in accordance with the central limit theorem. Quantum parameter estimation, an emerging field of quantum technology, aims to use quantum resources to yield higher statistical precision than classical approaches. Here, we report the first room-temperature implementation of entanglement-enhanced phase estimation in a solid-state system: the nitrogen-vacancy (NV) centre in pure diamond. We demonstrate a super-resolving phase measurement with two entangled qubits of different physical realizations: a NV centre electron spin and a proximal ${}^{13}$C nuclear spin. The experimental data shows clearly the uncertainty reduction when entanglement resource is used, confirming the theoretical expectation. Our results represent a more generalized and elemental demonstration of enhancement of quantum metrology against classical procedure, which fully exploits the quantum nature of the system and probes.
SECPOP90: Sector population, land fraction, and economic estimation program
Humphreys, S.L.; Rollstin, J.A.; Ridgely, J.N.
1997-09-01T23:59:59.000Z
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.
Estimation of scalar moments from explosion-generated surface waves
Stevens, J.L.
1985-04-01T23:59:59.000Z
Rayleigh waves from underground nuclear explosions are used to estimate scaler moments for 40 Nevada Test Site (NTS) explosions and 18 explosions at the Soviet East Kazakh test site. The Rayleigh wave spectrum is written as a product of functions that depend on the elastic structure of the travel path, the elastic structure of the source region and the Q structure of the path. Results are used to examine the worldwide variability of each factor and the resulting variability of surface wave amplitudes. The path elastic structure and Q structure are found by inversion of Rayleigh wave phase and group velocities and spectral amplitudes. The Green's function derived from this structure is used to estimate the moments of explosions observed along the same path. This procedure produces more consistent amplitude estimates than conventional magnitude measurements. Network scatter in log moment is typically 0.1. In contrast with time-domain amplitudes, the elastic structure of the travel path causes little variability in spectral amplitudes. When the mantle Q is constrained to a value of approximately 100 at depths greater than 120 km, the inversion for Q and moment produces moments that remain constant with distance. Based on the best models available, surface waves from NTS explosions should be larger than surface waves from East Kazakh explosions with the same moment. Estimated scaler moments for the largest East Kazakh explosions since 1976 are smaller than the estimated moments for the largest NTS explosions for the same time period.
Smith, Elaine M.; Alley, Gordon R.
1981-04-01T23:59:59.000Z
districts in Kansas which are participating in various studies include: United School District (USD) 384, Blue Valley; USD 500, Kansas City; USD 469, Lansing; USD 497, Lawrence; USD 453, Leavenworth; USD 233, Olathe; USD 305, Salina; USO 450, Shawnee...-Deshler (1979) model designed especially for Insert Table 2 about here intermediate-grade LD students. Ten days of original ba~eline were taken whereupon the intervention stage was initiated according to the steps previously listed. After observing...
Inter-sensor propagation delay estimation using sources of opportunity
Vincent, Rémy; Michel, Olivier; Lacoume, Jean-Louis
2015-01-01T23:59:59.000Z
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.
Empirical Estimates and Observations of 0Day Vulnerabilities
Miles A. McQueen; Trevor A. McQueen; Wayne F. Boyer; May R. Chaffin
2009-01-01T23:59:59.000Z
We define a 0Day vulnerability to be any vulnerability, in deployed software, that has been discovered by at least one person but has not yet been publicly announced or patched. These 0Day vulnerabilities are of particular interest when assessing the risk to a system from exploit of vulnerabilities which are not generally known to the public or, most importantly, to the owners of the system. Using the 0Day definition given above, we analyzed the 0Day lifespans of 491 vulnerabilities and conservatively estimated that in the worst year there were on average 2500 0Day vulnerabilities in existence on any given day. Then using a small but intriguing set of 15 0Day vulnerability lifespans representing the time from actual discovery to public disclosure, we made a more aggressive estimate. In this case, we estimated that in the worst year there were, on average, 4500 0Day vulnerabilities in existence on any given day.
Soft-Decision-Driven Channel Estimation for Pipelined Turbo Receivers
Yoon, Daejung
2011-01-01T23:59:59.000Z
We consider channel estimation specific to turbo equalization for multiple-input multiple-output (MIMO) wireless communication. We develop a soft-decision-driven sequential algorithm geared to the pipelined turbo equalizer architecture operating on orthogonal frequency division multiplexing (OFDM) symbols. One interesting feature of the pipelined turbo equalizer is that multiple soft-decisions become available at various processing stages. A tricky issue is that these multiple decisions from different pipeline stages have varying levels of reliability. This paper establishes an effective strategy for the channel estimator to track the target channel, while dealing with observation sets with different qualities. The resulting algorithm is basically a linear sequential estimation algorithm and, as such, is Kalman-based in nature. The main difference here, however, is that the proposed algorithm employs puncturing on observation samples to effectively deal with the inherent correlation among the multiple demappe...
Adaptive Sampling for Estimating a Scalar Field using a Robotic Boat and a Sensor Network
Zhang, Bin; Sukhatme, Gaurav
2007-01-01T23:59:59.000Z
LOCAL REGRESSION A. Linear Local Regression Non-parametricnon- parametric estimators. Kernel estimators include Nadaraya- Waston, Gasser-Muller and local linear regression
Biofuel Boundaries: Estimating the Medium-Term Supply Potential of Domestic Biofuels
Jones, Andrew; O'Hare, Michael; Farrell, Alexander
2007-01-01T23:59:59.000Z
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.
2010-01-01T23:59:59.000Z
NOTE Estimation of Biomass Heat Storage Using Thermalmethod to estimate tree biomass heat storage from thermalinfrared (TIR) imaging of biomass surface temperature is
A Methodology for Estimating Large-Customer Demand Response Market Potential
Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter
2008-01-01T23:59:59.000Z
Estimating Large-Customer Demand Response Market PotentialEstimating Large-Customer Demand Response Market PotentialSyracuse, NY ABSTRACT Demand response (DR) is increasingly
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...
Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Applications: 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...
A STUDY OF AGGREGATION BIAS IN ESTIMATING THE MARKET FOR HOME HEATING AND COOLING EQUIPMENT
Wood, D.J.
2010-01-01T23:59:59.000Z
Estimating the Market for Home Heating and Cooling EquipmentBIAS IN ESTIMATING THE MARKET FOR HOME HEATING AND COOLINGESTIMATING THE MARKET FOR HOME HEATING AND COOLING EQUIPMENT
Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...
Broader source: Energy.gov (indexed) [DOE]
Application Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application This report estimates fuel cell system cost for systems produced in the...
Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...
Broader source: Energy.gov (indexed) [DOE]
07 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...
Improving urban transport performances by tendering lots : an econometric estimation of
Paris-Sud XI, Université de
- 1 - Improving urban transport performances by tendering lots : an econometric estimation, Christensen & Tretheway 1984), and a large number of econometric estimations had been realised on urban
Soffer, Bernard H; Kikuchi, Ryoichi
1994-01-01T23:59:59.000Z
of Confidence for Maximum Entropy Restoration and EstimationApril 3, 1992) The Maximum Entropy method, using physicalare discussed. Maximum Entropy (ME) estimation has been
Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings
Fridley, David G.
2008-01-01T23:59:59.000Z
Estimating Total Energy Consumption and Emissions of China’sof China’s total energy consumption mix. However, accuratelyof China’s total energy consumption, while others estimate
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.
1998-01-01T23:59:59.000Z
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.
Impact of price specials on estimates of retail meat prices
Degner, Robert L
1970-01-01T23:59:59.000Z
ighting Technique V. V. SUM'JARA' AND CONCLUSIONS. 46 55 o3 69 Ti. me-of-the-Week to Collect Prices. Bias Reduced by Regression. Concluding Statement. REFEBENCES. APPENDIX. 89 90 95 100 115 vill LIST OF TABLES Table Page 1-1. Relative...' or individual items in Dallas and Houston. 101 3-1. Simulated BLS price estimates of 46 meat items based upon different sampling rates and weighted average price, or all data, July 1968. . . . . . . . . . . . 107 "Error" of price estimates; differences...
Bounded limit for the Monte Carlo point-flux-estimator
Grimesey, R.A.
1981-01-01T23:59:59.000Z
In a Monte Carlo random walk the kernel K(R,E) is used as an expected value estimator at every collision for the collided flux phi/sub c/ r vector,E) at the detector point. A limiting value for the kernel is derived from a diffusion approximation for the probability current at a radius R/sub 1/ from the detector point. The variance of the collided flux at the detector point is thus bounded using this asymptotic form for K(R,E). The bounded point flux estimator is derived. (WHK)
Fuel Cell System for Transportation -- 2005 Cost Estimate
Wheeler, D.
2006-10-01T23:59:59.000Z
Independent review report of the methodology used by TIAX to estimate the cost of producing PEM fuel cells using 2005 cell stack technology. The U.S. Department of Energy (DOE) Hydrogen, Fuel Cells and Infrastructure Technologies Program Manager asked the National Renewable Energy Laboratory (NREL) to commission an independent review of the 2005 TIAX cost analysis for fuel cell production. The NREL Systems Integrator is responsible for conducting independent reviews of progress toward meeting the DOE Hydrogen Program (the Program) technical targets. An important technical target of the Program is the proton exchange membrane (PEM) fuel cell cost in terms of dollars per kilowatt ($/kW). The Program's Multi-Year Program Research, Development, and Demonstration Plan established $125/kW as the 2005 technical target. Over the last several years, the Program has contracted with TIAX, LLC (TIAX) to produce estimates of the high volume cost of PEM fuel cell production for transportation use. Since no manufacturer is yet producing PEM fuel cells in the quantities needed for an initial hydrogen-based transportation economy, these estimates are necessary for DOE to gauge progress toward meeting its targets. For a PEM fuel cell system configuration developed by Argonne National Laboratory, TIAX estimated the total cost to be $108/kW, based on assumptions of 500,000 units per year produced with 2005 cell stack technology, vertical integration of cell stack manufacturing, and balance-of-plant (BOP) components purchased from a supplier network. Furthermore, TIAX conducted a Monte Carlo analysis by varying ten key parameters over a wide range of values and estimated with 98% certainty that the mean PEM fuel cell system cost would be below DOE's 2005 target of $125/kW. NREL commissioned DJW TECHNOLOGY, LLC to form an Independent Review Team (the Team) of industry fuel cell experts and to evaluate the cost estimation process and the results reported by TIAX. The results of this independent review will permit NREL and DOE to better understand the credibility of the TIAX cost estimation process and to implement changes in future cost analyses, if necessary. The Team found the methodology used by TIAX to estimate the cost of producing PEM fuel cells to be reasonable and, using 2005 cell stack technology and assuming production of 500,000 units per year, to have calculated a credible cost of $108/kW.
A better estimation of the Universal Gravitational Constant
Prasanna, Thankasala
1993-01-01T23:59:59.000Z
) can bc computed. If m ?m I (say), then eq(2) can be written ))12 ) r 'i+ Gmj I + ? ): = 0 fyl t 2 (3) Hence, the gravitational parameters Gm; of various large bodies in space can be deter- mined. More typically, rather than attempting to measure... r and 'r, some more easily mea- surable solution property of the differential equation (3) is used to estimate Gm, This has been the basic principle behind estimation of the gravitational parameters of celestial objects in space. Several...
Dose estimates in a loss of lead shielding truck accident.
Dennis, Matthew L.; Osborn, Douglas M.; Weiner, Ruth F.; Heames, Terence John (Alion Science & Technology Albuquerque, NM)
2009-08-01T23:59:59.000Z
The radiological transportation risk & consequence program, RADTRAN, has recently added an updated loss of lead shielding (LOS) model to it most recent version, RADTRAN 6.0. The LOS model was used to determine dose estimates to first-responders during a spent nuclear fuel transportation accident. Results varied according to the following: type of accident scenario, percent of lead slump, distance to shipment, and time spent in the area. This document presents a method of creating dose estimates for first-responders using RADTRAN with potential accident scenarios. This may be of particular interest in the event of high speed accidents or fires involving cask punctures.
Estimating two-loop radiative effects in the MOLLER experiment
Aleksejevs, A. G., E-mail: aaleksejevs@swgc.mun.ca [Grenfell Campus Memorial University (Canada); Barkanova, S. G., E-mail: svetlana.barkanova@acadiau.ca [Acadia University (Canada); Zykunov, V. A., E-mail: vladimir.zykunov@cern.ch [Belarussian State University of Transport (Belarus); Kuraev, E. A., E-mail: kuraev@theor.jinr.ru [Joint Institute for Nuclear Research (Russian Federation)
2013-07-15T23:59:59.000Z
Within the on-shell renormalization scheme, two-loop electroweak corrections to the parityviolating polarization asymmetry in the reaction e{sup -}e{sup -} {yields} e{sup -}e{sup -}({gamma}, {gamma}{gamma}) were estimated for the MOLLER experiment at JLab. The infrared divergence and the imaginary part of the amplitude were taken completely under control. Relevant compact expressions obtained by using asymptotic methods are free from unphysical parameters and are convenient for analysis and for numerical estimations. A numerical analysis revealed a significant scale of two-loop effects and the need for taking them into account in the MOLLER experiment.
Szlenk Index, Upper Estimates, and Embedding in Banach Spaces
Causey, Ryan Michael
2014-08-07T23:59:59.000Z
and the topology of the space. But Enflo's famous example of a Banach space failing the approximation property [8] is also a Banach space failing to have either a Schauder basis or a finite dimensional decomposition. For this reason, one often wishes to determine... subsequential U upper tree estimates, then X embeds into Y . 8 (ii) If U, V are as in Theorem 1.2, then there exists a reflexive Banach space Z with FDD F satisfying subsequential V lower and subsequential U upper block estimates in Z such that if X ? REFL...
Introduction: Integrative Approaches for Estimating Current and Future Feedstock Availability
West, Tristram O.
2010-09-08T23:59:59.000Z
Biomass that is used to generate energy, through conversion processes or direct combustion, is referred to as a bioenergy feedstock. Establishment of bioenergy feedstocks as an agricultural commodity has the potential to alter land management, carbon stocks, water quality, and greenhouse gas emissions over large geographic areas. Estimation of current and future feedstock availability is an essential step in assessing potential environmental and economic impacts of feedstock production. The purpose of this special issue is to communicate integrative approaches that combine data and modeling capabilities for estimation of current and future feedstock availability.
Nearest Neighbor Conditional Estimation for Harris Recurrent Markov Chains
Sancetta, Alessio
and to estimate Ei?1f (Xi) (Ei?1 is expectation conditional on the sigma algebra generated by (Xs)sEi?1f (Xi) over some class of functions from which we can derive conditional extremum estimators. Most common examples include... . To formalize this we need the following additional condition, which is minimal. Condition 19 For any x ? C ? E, let G = Gx be any arbitrary open set that contains f0 (x) and let Gc be its complement. Then, inf f?Gc Pf (x) > Pf0 (x) . Corollary 20 Suppose (F, ?...