Property:EstimatedCostLowUSD | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh PlainsOttawa, Ontario:InformationProperty Edit withProperty Edit withEstimatedCostLowUSD
Property:EstimatedCostMedianUSD | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh PlainsOttawa, Ontario:InformationProperty Edit withProperty Edit
Oil Shale Market is Estimated to Reach USD 7,400.70 Million by...
Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor 1 July, 2015...
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.
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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307USD 373USD
Property:EstimatedCostHighUSD | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh PlainsOttawa, Ontario:InformationProperty Edit withProperty Edit with
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.
Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg K-12 School (Brochure)
Not Available
2010-04-01T23:59:59.000Z
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
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307USD 373
USD 376 Sterling 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307USD 373USDUSD
USD 384 Blue Valley Wind Project | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307USD
Office of Energy Efficiency and Renewable Energy (EERE)
This brochure details the energy efficient and sustainable aspects of the USD 422 K-12 school in Greensburg, Kansas.
Global Fuel Cells Market to Value USD910.3 million by 2018 |...
Global Fuel Cells Market to Value USD910.3 million by 2018 Home > Groups > Renewable Energy RFPs John55364's picture Submitted by John55364(95) Contributor 15 May, 2015 - 02:14...
Biomass Boiler Market is Projected to Reach USD 8,907.0 Million...
Market is Projected to Reach USD 8,907.0 Million by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor 24 June, 2015 -...
Artificial Lift Systems Market is expected to reach USD 19,806...
Market is expected to reach USD 19,806.8 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor 16 June, 2015 -...
Oil Spill Management Market is Estimated to Reach USD 114,441...
lead to the release of hydrocarbons from the well, resulting in an oil spill. Increased drilling activities in deepwater and ultra-deepwater regions with extreme and erratic well...
Weighted median of the data in solving least absolute
Scitovski, Rudolf
is illustrated by an example of hourly natural gas consumption forecast. Key words. median, weighted median
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...
Integer-Sided Triangles with integral medians
Konstantine Zelator
2013-08-15T23:59:59.000Z
In this work, we prove that any triangle whose three sidelengths are integers, cannot have all of its three medians also having integral lengths.This is done in Proposition 2.In Section 5, we give precise(i.e.necessary and sufficient)conditions for a nonisosceles, integer-sided triangle to have two integral medians.In Section 3, we offer parametric descriptions of three special families of integer-sided triangles.The first family consists of all Pythagorean triangles whose medians to their hypotenuses is integral. The other two medians (to the two legs)of any Pythagorean triangle are irrational, a proof of this fact can be found in reference 4 of this paper.The second family consists of all integer-sided isosceles triangles, whose only integral median is the one contained between the two sides of equal length. Finally, the third family consists of all isosceles integer-sided triangles with the two medians of equal length;having integer length.
Median regression and the missing information principle Ian W. McKeague
McKeague, Ian
Median regression and the missing information principle Ian W. McKeague Department of Statistics regression analysis has robustness properties which make it an attractive alternative to regression based of the median regression model, leading to a new estimator for the regression parameters. Our approach adapts
Theoretical advances on multichromosomal median computation
Chauve, Cedric
consider the classical problem of com- puting an optimal median for three multichromosomal genomes G1, G2, G3. More precisely, we consider the case where G1, G2, G3 are mixed genomes as they can have (possibly) both linear and circular chromosomes; pairs G, G of genomes on n genes are compared using
Efficient Randomized Algorithms for the Repeated Median Line Estimator \\Lambda
Mount, David
(n log 2 n) randomized algorithm for this problem, which uses no complex data structures. We provide of Computer Science and Institute for Advanced Computer Studies University of Maryland College Park, Maryland, Maryland, 20742, USA and Center of Excellence in Space Data and Information Sciences, Code 930.5 NASA
Property:EstimatedTimeMedian | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh PlainsOttawa, Ontario:InformationProperty Edit withProperty EditProperty EditProperty Edit
Reactive Stochastic Local Search Algorithms for the Genomic Median Problem
Wolf, Christian
Reactive Stochastic Local Search Algorithms for the Genomic Median Problem Renaud Lenne1 5558, Universit´e de Lyon 1, France eric.tannier@inria.fr Abstract. The genomic median problem of the common ancestor to multiple living species. It is formulated as the search for a genome that minimizes
Introduction The median problem for the reversal distance in
Lonardi, Stefano
genomes E. Ohlebusch, M.I. Abouelhoda, K. Hockel, J. Stallkamp University of Ulm, Germany CPM 2005 The median problem for the reversal distance in circular bacterial genomes #12;Introduction Methods Conclusion General Problem Distances Specific Problem Median Problem Given 3 genomes G1, G2, and G3, find
NMDOT Application for Permit to Construct an Access or Median...
or Median Opening on Public Right of Way Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: NMDOT Application for Permit to Construct an...
Securely Computing an Approximate Median in Wireless Sensor Networks
Setia, Sanjeev
Securely Computing an Approximate Median in Wireless Sensor Networks Sankardas Roy 1 sroy1@gmu and the unattended nature of sensor nodes, sensor network protocols need to be designed with security in mind and efficient. Categories and Subject Descriptors C.2.0 [Computer-Communication Networks]: General- Security
Chepoi, Victor
. This demonstrates that the median algebras featured by Avann and Sholander half a century ago and, more generally
Local Stability of the Median LMS Filter W.A. Sethares // J.A. Bucklew
Bucklew, James Antonio
Local Stability of the Median LMS Filter W.A. Sethares // J.A. Bucklew November 17, 2000 1 #12; Abstract Local stability properties of the recently proposed median LMS adaptive filter are investigated. This will help delineate those applications for which the median LMS is an appropriate adaptive al gorithm
Salt-and-Pepper Noise Removal by Median-type Noise Detectors and
Chan, Raymond
1 Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving Regularization for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify remove salt-and-pepper-noise with noise level as high as 90%. Index Terms Impulse noise, adaptive median
ON THE p-MEDIAN POLYTOPE OF A SPECIAL CLASS OF ...
p-median and the uncapacitated facility location polytopes, the odd cycle ... description of the fractional extreme points of the linear relaxation for the p-
An Efficient Probabilistic Population-Based Descent for the Median Genome Problem
Goëffon, Adrien
An Efficient Probabilistic Population-Based Descent for the Median Genome Problem Adrien Goëffon@labri.fr ABSTRACT We present a novel population-based local search algorithm for the median genome problem of ancestral genome reconstruc- tion compared to existing methods, making it possible to tackle problems where
Development of guidelines for the aesthetic surface treatment of safety-shaped median barriers
Ness, Jacob Raymond
2004-11-15T23:59:59.000Z
Safety-shaped median barriers have long been employed to keep misguided vehicles on the roadway. In recent years there has been a growing national desire for more aesthetically pleasing roadside safety systems. Adding surface texture is one...
Development of guidelines for the aesthetic surface treatment of safety-shaped median barriers
Ness, Jacob Raymond
2004-11-15T23:59:59.000Z
of the requirements for the degree of MASTER OF SCIENCE August 2004 Major Subject: Civil Engineering DEVELOPMENT OF GUIDELINES FOR THE AESTHETIC SURFACE TREATMENT OF SAFETY-SHAPED MEDIAN BARRIERS A Thesis by JACOB...) Harry Hogan (Member) Paul N. Roschke (Head of Department) August 2004 Major Subject: Civil Engineering iii ABSTRACT Development of Guidelines for the Aesthetic Surface Treatment of Safety-Shaped Median Barriers. (August 2004...
-98 -97 -96 -95 -94 -93 -92 -91 -90 -89 -88 -87 -86 -85 Longitude (median for dredges)
Geist, Dennis
-85 Nb/Zr Longitude (median for dredges) Existing Data Western GSC Eastern GSC Ingle Investigating -98 -96 -94 -92 -90 -88 -86 -84 -82 -80 K/Ti*100 Longitude (median for dredges) Existing data Western
Effects of muscle fiber type and size on EMG median frequency and conduction velocity
De Luca, Carlo J.
an in vitro method for comparing surface-detected electromyographic median fre- quency (MF) and conduction-sectional area (CSA). Electromyographic sig- nals were recorded during electrically elicited tetanic contrac a muscular contraction are related to muscle fiber type com- position and muscle fiber CSA. electromyographic
European Conference on Objectoriented Programming (ECOOP) h5index: 28 h5median: 45
Xie, Tao
European Conference on Objectoriented Programming (ECOOP) h5index: 28 h5median: 45 #17 Software Saftoiu, S Krishnamurthi Proceedings of the 24th European conference on Objectoriented programming ... 109 Vafeiadis Proceedings of the 24th European conference on Objectoriented programming ... 92 2010 JCo
Online Maintenance of k-Medians and k-Covers Rudolf Fleischer1
Fleischer, Rudolf
Processing, Department of Computer Science and Engineering, Shanghai, China. Email: fleischer@acm.org. 2 are given a graph G = (V, E) with nonnegative edge costs. We want to choose k nodes (the medians) from V so Region, China (Project No. HKUST6010/01E) and by RGC/HKUST Direct Allocation Grant DAG03/04.EG05
Online Maintenance of k-Medians and k-Covers Rudolf Fleischer1
Fleischer, Rudolf
, Department of Computer Science and Engineering, Shanghai, China. Email: fleischer@acm.org. 2 Department are given a graph G = (V, E) with nonnegative edge costs. We want to choose k nodes (the medians) from V so Region, China (Project No. HKUST6010/01E) and by RGC/HKUST Direct Allocation Grant DAG03/04.EG05
Adaptive hybrid mean and median filtering of high-ISO long-exposure sensor noise for
Rabie, Tamer
Adaptive hybrid mean and median filtering of high-ISO long-exposure sensor noise for digital for Standardization (ISO) and long- exposure settings. The problem lies in the fact that the algorithm must deal, namely blue-channel noise and JPEG blocking artifacts, common in high-ISO digital camera images. A third
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.
South Florida Sun-Sentinel.com Census shows another decline in median income
Fernandez, Eduardo
's official poverty rate was 15 percent, up a percent from a year earlier when the recession officially ended. That means almost 3 million more Americans were living in poverty in 2010, the Census Bureau reported. It was the fourth annual increase and the largest number of poor people in the 52 years the poverty estimates have
IEEE/ACM International Conference on Automated Software Engineering (ASE) h5-index: 34 h5-median: 50
Xie, Tao
IEEE/ACM International Conference on Automated Software Engineering (ASE) h5-index: 34 h5-median source code on the web S Thummalapenta, T Xie Proceedings of the twenty-second IEEE/ACM international, Z Hu, H Zhao, M Takeichi, H Mei Proceedings of the twenty-second IEEE/ACM international conference
Floating Production Systems Market Is Expected To Reach USD 38...
63.8% of the total market share in 2012. Companies such as Royal Dutch Shell Plc, Petrobras and ENI are using FPSO to extract crude oil from offshore fields. FSO accounted for...
Turkey Marine Lubricants Market is Expected to Reach USD 177...
are primarily categorized into seven different applications including engine oils, hydraulic oils, grease, turbine oils, gear oils, compressor oils and heat transfer fluids....
USD 307 Ell-Saline Wind Project | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307 Ell-Saline
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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307
USD 393 Solomon 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307USDUSD 393
USD 440 Halstead Schools Wind Project | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPID |SpaceThe German WindfieldTurkmenistan-GEFUResourcesUSUSD 307USDUSD
Heath, G. A.; Burkhardt, J. J.
2011-09-01T23:59:59.000Z
In reviewing life cycle assessment (LCA) literature of utility-scale CSP systems, this analysis focuses on clarifying central tendency and reducing variability in estimates of life cycle greenhouse gas (GHG) emissions through a meta-analytical process called harmonization. From 125 references reviewed, 10 produced 36 independent GHG emission estimates passing screens for quality and relevance: 19 for parabolic trough technology and 17 for power tower technology. The interquartile range (IQR) of published GHG emission estimates was 83 and 20 g CO2eq/kWh for trough and tower, respectively, with medians of 26 and 38 g CO2eq/kWh. Two levels of harmonization were applied. Light harmonization reduced variability in published estimates by using consistent values for key parameters pertaining to plant design and performance. Compared to the published estimates, IQR was reduced by 69% and median increased by 76% for troughs. IQR was reduced by 26% for towers, and median was reduced by 34%. A second level of harmonization was applied to five well-documented trough LC GHG emission estimates, harmonizing to consistent values for GHG emissions embodied in materials and from construction activities. As a result, their median was further reduced by 5%, while the range increased by 6%. In sum, harmonization clarified previous results.
Computing median and antimedian sets in median graphs Kannan Balakrishnan
Klavzar, Sandi
, Slovenia bostjan.bresar@uni-mb.si Manoj Changat Department of Futures Studies University of Kerala. Subhamathi Department of Futures Studies University of Kerala, Trivandrum-695034, India ajithars
Computing median and antimedian sets in median graphs # Kannan Balakrishnan
Klavzar, Sandi
, Slovenia bostjan.bresar@unimb.si Manoj Changat Department of Futures Studies University of Kerala.kovse@gmail.com Ajitha R. Subhamathi Department of Futures Studies University of Kerala, Trivandrum695034, India
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
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.
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.
Blumenthal, Jurg M.; Thompson, Wayne
2009-06-12T23:59:59.000Z
This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure....
Distributed Road Grade Estimation
Johansson, Karl Henrik
Distributed Road Grade Estimation for Heavy Duty Vehicles PER SAH LHOLM Doctoral Thesis in Automatic Control Stockholm, Sweden 2011 #12;Distributed Road Grade Estimation for Heavy Duty Vehicles PER state-of-charge control decrease the energy consumption of vehicles and increase the safety
SPACE TECHNOLOGY Actual Estimate
technology readiness of new missions, mitigate their technological risks, improve the quality of cost estimates, and thereby contribute to better overall mission cost management..." Space Technology investmentsSPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.
Operated device estimation framework
Rengarajan, Janarthanan
2009-05-15T23:59:59.000Z
Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution...
Operated device estimation framework
Rengarajan, Janarthanan
2009-05-15T23:59:59.000Z
protective device estimation algorithm which helps in identifying which protective devices have operated to clear a short circuit condition. The algorithm uses manufacturers device details, power quality data measured from substation monitoring devices...
Estimation of food consumption
Callaway, J.M. Jr.
1992-04-01T23:59:59.000Z
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
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.
Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik (Applied Biomathematics, Setauket, New York); Oberkampf, William Louis (Applied Biomathematics, Setauket, New York); Ginzburg, Lev (Applied Biomathematics, Setauket, New York); Ferson, Scott (Applied Biomathematics, Setauket, New York); Hajagos, Janos (Applied Biomathematics, Setauket, New York)
2007-05-01T23:59:59.000Z
This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.
MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
Van Aelst, Stefan
1 MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE Stefan Van Aelst-estimators for multivariate regression. We study the robustness of the estimators in terms of their breakdown point and in and multivariate location and scatter. Furthermore we develop a fast and robust bootstrap method
SMOOTHED ESTIMATING EQUATIONS FOR INSTRUMENTAL VARIABLES QUANTILE REGRESSION
Kaplan, David M.; Sun, Yixiao
2012-01-01T23:59:59.000Z
Instrumental quantile regression inference for structuralsample inference for quantile regression models. Journal ofmethods for median regression models. Econometrica,
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
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.
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...
Turbines Market is Expected to Reach USD 191.87 Billion by 2020...
buy power from other sources, which could cost much more than the average market price as it is being bought under distress. Thus, power producers decided to shift from coal...
Coal Bed Methane Market to Value USD 15,318.9 Million by 2018...
be additionally benefitted from the rising global demands for liquefied natural gas (LNG). Also, the growing market for LNG (liquefied natural gas) is providing immense...
REQUESTS FOR RETIREMENT ESTIMATE
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 of Thomas P.Oil,J. B.Department ofEnergyREQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions:
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. . . . . . . . . .
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
Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...
Broader source: Energy.gov (indexed) [DOE]
DOE U.S. Department of Energy GVAX Ganges Valley Aerosol Experiment HPC High performance computing MAE Mean absolute error MDE Median absolute error MF Mobile facility NREL...
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 ...
Estimate product quality with ANNs
Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)
1996-09-01T23:59:59.000Z
Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.
Archisman Ghosh; Walter Del Pozzo; Parameswaran Ajith
2015-05-21T23:59:59.000Z
We characterize the expected statistical errors with which the parameters of black-hole binaries can be measured from gravitational-wave (GW) observations of their inspiral, merger and ringdown by a network of second-generation ground-based GW observatories. We simulate a population of black-hole binaries with uniform distribution of component masses in the interval $(3,80)~M_\\odot$, distributed uniformly in comoving volume, with isotropic orientations. From signals producing signal-to-noise ratio $\\geq 5$ in at least two detectors, we estimate the posterior distributions of the binary parameters using the Bayesian parameter estimation code LALInference. The GW signals will be redshifted due to the cosmological expansion and we measure only the "redshifted" masses. By assuming a cosmology, it is possible to estimate the gravitational masses by inferring the redshift from the measured posterior of the luminosity distance. We find that the measurement of the gravitational masses will be in general dominated by the error in measuring the luminosity distance. In spite of this, the component masses of more than $50\\%$ of the population can be measured with accuracy better than $\\sim 25\\%$ using the Advanced LIGO-Virgo network. Additionally, the mass of the final black hole can be measured with median accuracy $\\sim 18\\%$. Spin of the final black hole can be measured with median accuracy $\\sim 5\\% ~(17\\%)$ for binaries with non-spinning (aligned-spin) black holes. Additional detectors in Japan and India significantly improve the accuracy of sky localization, and moderately improve the estimation of luminosity distance, and hence, that of all mass parameters. We discuss the implication of these results on the observational evidence of intermediate-mass black holes and the estimation of cosmological parameters using GW observations.
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.
Adjusted Estimates of Texas Natural Gas Production
U.S. Energy Information Administration (EIA) Indexed Site
1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural...
Hydrogen Production Cost Estimate Using Biomass Gasification...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is the...
Efficient Power System State Estimation
Lavaei, Javad
monitoring of power systems. 2. Background Power systems have four main components: transmission, sub-transmissionEfficient Power System State Estimation Zafirah Baksh Expected BS, Department of Electrical Engineering May 2013 ELEN E4511 Power Systems Analysis Professor Javad Lavaeiyanesi #12;1. Introduction Power
TOWARDS ESTIMATING TOTAL ECONOMIC VALUE
Bateman, Ian J.
TOWARDS ESTIMATING TOTAL ECONOMIC VALUE OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello Cervigni Dominic Moran Centre for Social and SEDESOL for their assistance whilst in Mexico, and David Pearce and Kerry Turner for comments on earlier
Empirical Bayes Estimation of Reliability
Pensky, Marianna
types of equipment relies on statistical inference about char- acteristics of reliabilityEmpirical Bayes Estimation of Reliability Introduction Assessment of the reliability of various such as reliability function, mean lifetime of the devices, or failure rate. Gen- eral techniques of statistical
Operating Costs Estimates Cost Indices
Boisvert, Jeff
cost projections Chemical Engineering (CE) Plant Construction Cost Index Base value = 100 in 1957.0 in 2Q 2001 Engineering News Record (ENR) Nelson Refinery (NR) Construction Cost Index Cost Indices available for estimation are based upon the past These data must be updated using cost indexes . Cost
Mandatory Photovoltaic System Cost Estimate
Broader source: Energy.gov [DOE]
If the customer has a ratio of estimated monthly kilowatt-hour (kWh) usage to line extension mileage that is less than or equal to 1,000, the utility must provide the comparison at no cost. If the...
Technical report: Multivariate generalized S-estimators
Van Aelst, Stefan
Technical report: Multivariate generalized S-estimators Roelant E. a, Van Aelst S. a Croux C. b a-estimators for the multivariate regression model. This class of estimators combines high robustness and high efficiency of residuals. In the special case of a multivariate location model, the generalized S-estimator has
Guidelines for Estimating Unmetered Landscapting Water Use
None
2010-07-30T23:59:59.000Z
Guidance to help Federal agencies estimate unmetered landscaping water use as required by Executive Order 13514
Best Linear Unbiased Estimate Motivation for BLUE
Fowler, Mark
1 Chapter 6 Best Linear Unbiased Estimate (BLUE) #12;2 Motivation for BLUE Except for Linear Model to a sub-optimal estimate BLUE is one such sub-optimal estimate Idea for BLUE: 1. Restrict estimate) Advantage of BLUE:Needs only 1st and 2nd moments of PDF Mean & Covariance Disadvantages of BLUE: 1. Sub
Enhanced State Estimators Final Project Report
. State estimators, integrated into control center energy management systems, provide estimates of varying magnitude. As a result, a state estimator is an essential tool for system monitoring becauseEnhanced State Estimators Final Project Report Power Systems Engineering Research Center A National
Towards local progression estimation of pulmonary emphysema using CT
Staring, M., E-mail: m.staring@lumc.nl; Bakker, M. E.; Shamonin, D. P.; Reiber, J. H. C.; Stoel, B. C. [Department of Radiology, Division of Image Processing, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden (Netherlands)] [Department of Radiology, Division of Image Processing, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden (Netherlands); Stolk, J. [Department of Pulmonology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden (Netherlands)] [Department of Pulmonology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden (Netherlands)
2014-02-15T23:59:59.000Z
Purpose: Whole lung densitometry on chest CT images is an accepted method for measuring tissue destruction in patients with pulmonary emphysema in clinical trials. Progression measurement is required for evaluation of change in health condition and the effect of drug treatment. Information about the location of emphysema progression within the lung may be important for the correct interpretation of drug efficacy, or for determining a treatment plan. The purpose of this study is therefore to develop and validate methods that enable the local measurement of lung density changes, which requires proper modeling of the effect of respiration on density. Methods: Four methods, all based on registration of baseline and follow-up chest CT scans, are compared. The first nave method subtracts registered images. The second employs the so-called dry sponge model, where volume correction is performed using the determinant of the Jacobian of the transformation. The third and the fourth introduce a novel adaptation of the dry sponge model that circumvents its constant-mass assumption, which is shown to be invalid. The latter two methods require a third CT scan at a different inspiration level to estimate the patient-specific density-volume slope, where one method employs a global and the other a local slope. The methods were validated on CT scans of a phantom mimicking the lung, where mass and volume could be controlled. In addition, validation was performed on data of 21 patients with pulmonary emphysema. Results: The image registration method was optimized leaving a registration error below half the slice increment (median 1.0 mm). The phantom study showed that the locally adapted slope model most accurately measured local progression. The systematic error in estimating progression, as measured on the phantom data, was below 2 gr/l for a 70 ml (6%) volume difference, and 5 gr/l for a 210 ml (19%) difference, if volume correction was applied. On the patient data an underlying linearity assumption relating lung volume change with density change was shown to hold (fitR{sup 2} = 0.94), and globalized versions of the local models are consistent with global results (R{sup 2} of 0.865 and 0.882 for the two adapted slope models, respectively). Conclusions: In conclusion, image matching and subsequent analysis of differences according to the proposed lung models (i) has good local registration accuracy on patient data, (ii) effectively eliminates a dependency on inspiration level at acquisition time, (iii) accurately predicts progression in phantom data, and (iv) is reasonably consistent with global results in patient data. It is therefore a potential future tool for assessing local emphysema progression in drug evaluation trials and in clinical practice.
Harmonizing Systems and Software Cost Estimation
Wang, Gan
2009-07-19T23:59:59.000Z
The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...
Bayesian estimation of resistivities from seismic velocities
Werthmller, Dieter
2014-06-30T23:59:59.000Z
I address the problem of finding a background model for the estimation of resistivities in the earth from controlled-source electromagnetic (CSEM) data by using seismic data and well logs as constraints. Estimation of ...
Uncertainty Quantification in ocean state estimation
Kalmikov, Alexander G
2013-01-01T23:59:59.000Z
Quantifying uncertainty and error bounds is a key outstanding challenge in ocean state estimation and climate research. It is particularly difficult due to the large dimensionality of this nonlinear estimation problem and ...
Cost Model and Cost Estimating Software
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.
An approach to Bayesian based Effort Estimation
Bae, Doo-Hwan
project/activities and performing cost/benefits analysis Early estimate and accurate evaluation can of considering to estimate effort for software maintenance in view of system architecture Not enough to reflect as to requirement in architecture Lack of supporting to estimate effort for software maintenance in view
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
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.
Robustness analysis of linear estimators
Tayade, Rajeshwary
2004-09-30T23:59:59.000Z
. Conditional Maximum Likelihood, i.e. given that the conditional probability function p(yjx) is known, find x such that p(y0jx) is maximum for a particular observation y0. Thus we can have estimators that minimize the average cost, or minimizes the max- imum... as the particle moves from t0 to t is given by s = Z t t0 jx0(t)jdt (2.2) Here we have an expression for s as a function of t : s = f(t). To show that s is a regular parameter, we note that this function is also analytic. Differentiating equation 2.2 we have, ds...
Crop acreage estimators based on satellite imagery
Vidart, Stephane
1983-01-01T23:59:59.000Z
of S and K. That attempt requires that equations J z (x T(x /s)+x v(x /s) ij (Xl +X2) f ((X. +X. )/S) lj 2j lj 2j = X log(p ) + X log(P ) ? (X +X )log(P +P ), be solved for S and J Z ((T -X . ) V((T -X )/KS) ? T. 'P(T /Ks)+X III(X /Ks)) = X log... Estimators 15 4. ESTIMATION OF THE PARAMETERS OF THE KDP 18 4. 1 Moment Estimates of the KDP 4. 2 Other Estimation Techniques 18 20 4. 2. 1 Need for new estimates 4. 2. 2 Maximum likelihood estimators of S and K 4. 2. 3 Other estimators . 20 21 23...
Robust bearing estimation for 3-component stations
CLAASSEN,JOHN P.
2000-02-01T23:59:59.000Z
A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the inherent information in the arrival at every step of the process to achieve near-optimal results. In particular the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, and finally to apply bias corrections when calibration information is available to yield a single final estimate. The algorithm was applied to a small but challenging set of events in a seismically active region. It demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted from these findings.
PANCHROMATIC ESTIMATION OF STAR FORMATION RATES IN BzK GALAXIES AT 1 < z < 3
Kurczynski, Peter; Gawiser, Eric [Department of Physics and Astronomy, Rutgers University, Piscataway, NJ 08854 (United States); Huynh, Minh [International Centre for Radio Astronomy Research, University of Western Australia M468, 35 Stirling Highway, Crawley, WA 6009 (Australia); Ivison, Rob J. [UK Astronomy Technology Centre, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ (United Kingdom); Treister, Ezequiel [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Smail, Ian [Institute for Computational Cosmology, Department of Physics, Durham University, South Road, Durham DH1 3LE (United Kingdom); Blanc, Guillermo A. [Department of Astronomy, The University of Texas at Austin, Austin, TX (United States); Cardamone, Carolin N. [Physics Department, Massachusetts Institute of Technology, Cambridge, MA 02139 (United States); Greve, Thomas R.; Schinnerer, Eva; Van der Werf, Paul [MPI for Astronomy, Koenigstuhl 17, 69117 Heidelberg (Germany); Urry, Meg [Department of Physics, Yale University, P.O. Box 208121, New Haven, CT 06520-8121 (United States)
2012-05-10T23:59:59.000Z
We determine star formation rates (SFRs) in a sample of color-selected, star-forming (sBzK) galaxies (K{sub AB} < 21.8) in the Extended Chandra Deep Field-South. To identify and avoid active galactic nuclei, we use X-ray, IRAC color, and IR/radio flux ratio selection methods. Photometric redshift-binned, average flux densities are measured with stacking analyses in Spitzer-MIPS IR, BLAST and APEX/LABOCA submillimeter, VLA and GMRT radio, and Chandra X-ray data. We include averages of aperture fluxes in MUSYC UBVRIz'JHK images to determine UV-through-radio spectral energy distributions. We determine the total IR luminosities and compare SFR calibrations from FIR, 24 {mu}m, UV, radio, and X-ray wavebands. We find consistency with our best estimator, SFR{sub IR+UV}, to within errors for the preferred radio SFR calibration. Our results imply that 24 {mu}m only and X-ray SFR estimates should be applied to high-redshift galaxies with caution. Average IR luminosities are consistent with luminous infrared galaxies. We find SFR{sub IR+UV} for our stacked sBzKs at median redshifts 1.4, 1.8, and 2.2 to be 55 {+-} 6 (random error), 74 {+-} 8, and 154 {+-} 17 M{sub Sun} yr{sup -1}, respectively, with additional systematic uncertainty of a factor of {approx}2.
Global Subsea Pumps Market to be Led by Brazil | OpenEI Community
Energy Concerns to Push Global Market to Grow at 8.1% CAGR from 2013 to 2019 Oil Shale Market is Estimated to Reach USD 7,400.70 Million by 2022 more Group members (32)...
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)...
Request for Information Renewable Energy Generation/Production...
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)...
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)...
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)...
Input estimation from measured structural response
Harvey, Dustin [Los Alamos National Laboratory; Cross, Elizabeth [Los Alamos National Laboratory; Silva, Ramon A [Los Alamos National Laboratory; Farrar, Charles R [Los Alamos National Laboratory; Bement, Matt [Los Alamos National Laboratory
2009-01-01T23:59:59.000Z
This report will focus on the estimation of unmeasured dynamic inputs to a structure given a numerical model of the structure and measured response acquired at discrete locations. While the estimation of inputs has not received as much attention historically as state estimation, there are many applications where an improved understanding of the immeasurable input to a structure is vital (e.g. validating temporally varying and spatially-varying load models for large structures such as buildings and ships). In this paper, the introduction contains a brief summary of previous input estimation studies. Next, an adjoint-based optimization method is used to estimate dynamic inputs to two experimental structures. The technique is evaluated in simulation and with experimental data both on a cantilever beam and on a three-story frame structure. The performance and limitations of the adjoint-based input estimation technique are discussed.
Guidance on Utility Rate Estimations and Weather Normalization...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
on Utility Rate Estimations and Weather Normalization in an ESPC Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Document explains how to use estimated...
Population estimates for Phase 1: Hanford Environmental Dose Reconstruction Project
Beck, D.M.; Erickson, A.R.; Harkreader, S.A.
1992-03-01T23:59:59.000Z
This report summarizes the population estimates of Phase I of the Hanford Environmental Dose Reconstruction (HEDR) Project. These estimates were used to develop preliminary dose estimates.
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.
2010-01-01T23:59:59.000Z
most current estimates of outage costs, it is hopeful thatand D. M. Keane. Outage Cost Estimation Guidebook, EPRIanalysts on how to apply outage cost estimates to a smart
State energy data report 1994: Consumption estimates
NONE
1996-10-01T23:59:59.000Z
This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.
Budget estimates. Fiscal year 1998
NONE
1997-02-01T23:59:59.000Z
The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.
Shivvers, I.; Berger, E. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)
2011-06-10T23:59:59.000Z
We present single-epoch radio afterglow observations of 24 long-duration gamma-ray burst (GRB) on a timescale of {approx}> 100 days after the burst. These observations trace the afterglow evolution when the blast wave has decelerated to mildly or non-relativistic velocities and has roughly isotropized. We infer beaming-independent kinetic energies using the Sedov-Taylor self-similar solution, and find a median value for the sample of detected bursts of about 7 x 10{sup 51} erg, with a 90% confidence range of 1.1 x 10{sup 50}-3.3 x 10{sup 53} erg. Both the median and 90% confidence range are somewhat larger than the results of multi-wavelength, multi-epoch afterglow modeling (including large beaming corrections), and the distribution of beaming-corrected {gamma}-ray energies. This is due to bursts in our sample with only a single-frequency observation for which we can only determine an upper bound on the peak of the synchrotron spectrum. This limitation leads to a wider range of allowed energies than for bursts with a well-measured spectral peak. Our study indicates that single-epoch centimeter-band observations covering the spectral peak on a timescale of {delta}t {approx} 1 yr can provide a robust estimate of the total kinetic energy distribution with a small investment of telescope time. The substantial increase in bandwidth of the Expanded Very Large Array (up to 8 GHz simultaneously with full coverage at 1-40 GHz) will provide the opportunity to estimate the kinetic energy distribution of GRBs with only a few hours of data per burst.
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 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...
8, 20612084, 2008 Estimation of Asian
Paris-Sud XI, Universit de
ACPD 8, 20612084, 2008 Estimation of Asian dust effect on cloud radiation forcing J. Su et al Chemistry and Physics Discussions Estimation of Asian dust aerosol effect on cloud radiation forcing using of Asian dust effect on cloud radiation forcing J. Su et al. Title Page Abstract Introduction Conclusions
Quality Estimation and Segmentation of Pig Backs
Quality Estimation and Segmentation of Pig Backs Mads Fogtmann Hansen Kongens Lyngby 2005 Master the quality of the pig product "18cm back". It presents the necessary tools for deriving the measures, which are needed to perform a quality estimation. This includes finding the ribs, extracting the 18cm back from
Hydrogen Production Cost Estimate Using Biomass Gasification
Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE dollars. Costs for a pioneer plant [a 1st plant with a capacity of 500 dry ton per day (dtpd) biomass
CONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS
Brennand, Tracy
is the conflict of interest between in- formation sharing and disclosure control. Statistical agencies routinelyCONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS by Wen Wilson Lu M.Sc., Simon Fraser of Philosophy Title of thesis: Confidentiality and Variance Estimation in Complex Surveys Examining Committee
The Importance of Carbon Footprint Estimation Boundaries
Kammen, Daniel M.
The Importance of Carbon Footprint Estimation Boundaries H . S C O T T M A T T H E W S , C H R I and organizations are pursuing "carbon footprint" projects to estimate their own contributions to global climate change. Protocol definitions from carbon registries help organizations analyze their footprints
REPORT NO. 4 ESTIMATES AND EVALUATION OF
REPORT NO. 4 ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Section II History of Nuclear Weapons Testing. . . . . . . . . . . . . . . . 4 Section III Atmospheric
Wavelet Based Estimation for Univariate Stable Laws
Gonçalves, 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
Schedule Estimation for Web Application Development
Fernando, Lake
2008-05-16T23:59:59.000Z
application system when it comes to estimating development time. The main reasons for difficulty in estimating hours are the dynamic nature of the business and the customers lack of requirements for the web application. This particular project will generate...
Falcon 9 Launch Vehicle NAFCOM Cost Estimates
. The updated estimates provided both Cost Plus Fee and Firm Fixed Price approaches and included two flight Updated Estimate Cost Plus Fee Cost Plus Fee Firm Fixed Price Cost Plus Fee Total Total Total Total in structure Interstage (composite material) was included in structures (aluminum lithium material) Interstage
Reservation Price Estimation by Adaptive Conjoint Analysis
Schmidt-Thieme, Lars
Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using
Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Abstract: Many...
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
Bae, Doo-Hwan
Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? - The Relationship between/4)( / ) Software cost estimation Definition Task of predicting the cost required to complete a software projectproject Techniques for software cost estimation Algorithmic estimationAlgorithmic estimation Calculate
CLOUD MICROPHYSICAL PROPERTIES, PROCESSES, AND RAINFALL ESTIMATION OPPORTUNITIES
Daniel, Rosenfeld
, and a formulation of the RDSD into the simplest free parameters of the rain intensity R, rain water content W intensity R, rain water content W and median volume drop diameter D0. This is accomplished through-R relationships is explored from the combined approach of rain-forming physical processes that shape the RDSD
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2014-10-31T23:59:59.000Z
This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.
State energy data report 1993: Consumption estimates
NONE
1995-07-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.
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.
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.
Estimates of Oil Reserves Jean Laherrere
O'Donnell, Tom
Estimates of Oil Reserves Jean Laherrere e-mail: jean.laherrere@wanadoo.fr sites: http oil will solve the present problems on welfare, retirement and they would dearly love to see the reserves of oil
Minimizing Biases in Radar Precipitation Estimates
McRoberts, Douglas B
2014-12-08T23:59:59.000Z
The demand for real-time drought information in recent years led to the development of a suite of objective drought indicators that relies on the high-resolution Stage IV precipitation estimates that are produced each day ...
Budget estimates, fiscal year 1997. Volume 12
NONE
1996-03-01T23:59:59.000Z
This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.
Fracture compliance estimation using borehole tube waves
Bakku, Sudhish Kumar
We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...
Broader source: Energy.gov [DOE]
This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.
BPA Metering Services Editing and Estimating Procedures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
be used to scale the estimated interval data with a shape projection applied. If SCADA data is available and has been mapped to the point of metering, it may be used for...
FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION
Burgman, Mark
such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing
Compressing measurements in quantum dynamic parameter estimation
Magesan, Easwar
We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with ...
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01T23:59:59.000Z
This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...
Information Fusion for Improved Motion Estimation
Peacock, Andrew M
Motion Estimation is an important research field with many commercial applications including surveillance, navigation, robotics, and image compression. As a result, the field has received a great deal of attention and ...
Buildings GHG Mitigation Estimator Worksheet, Version 1
Broader source: Energy.gov [DOE]
Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.
Language model parameter estimation using user transcriptions
Hsu, Bo-June
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyond the unlabeled test ...
Nonlinear parameter estimation in parallel computing environments
Li, Jie
1996-01-01T23:59:59.000Z
Paragon supercomputer. We use a two-dimensional permeability estimation problem as the example to test and demonstrate the usage of the parallel PEST. An existing simulator program called US3D, which solves the three-dimensional groudwater flow...
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 todays commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimators single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.
Estimating diesel engine performance by indirect methods
McKiernan, Michael
1987-01-01T23:59:59.000Z
ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT METHODS A Thesis by MICHAEL MCKIERNAN Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements of the degree of MASTER OF SCIENCE May 1987 Major... Subject: Agricultural Engineering ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT NETHODS A Thesis by NICHAEL MCKIERNAN Approved as to style and content by: i A. Stout (Chairman of Comittee) ephen W. Searcy (Member) Thomas R. La (Nember...
Estimates of US biomass energy consumption 1992
Not Available
1994-05-06T23:59:59.000Z
This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.
Guidelines for Estimating Unmetered Industrial Water Use
Boyd, Brian K.
2010-08-01T23:59:59.000Z
The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.
Estimating diesel engine performance by indirect methods
McKiernan, Michael
1987-01-01T23:59:59.000Z
ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT METHODS A Thesis by MICHAEL MCKIERNAN Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements of the degree of MASTER OF SCIENCE May 1987 Major... Subject: Agricultural Engineering ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT NETHODS A Thesis by NICHAEL MCKIERNAN Approved as to style and content by: i A. Stout (Chairman of Comittee) ephen W. Searcy (Member) Thomas R. La (Nember...
On Quantum Channel Estimation with Minimal Resources
M. Zorzi; F. Ticozzi; A. Ferrante
2011-06-10T23:59:59.000Z
We determine the minimal experimental resources that ensure a unique solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically admissible solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.
LAT and Solar Neutrons: Preliminary estimates
Longo, Francesco [Department of Physics, University of Trieste, Trieste, via Valerio 2, 34127 Trieste (Italy)]|[INFN, Trieste, via Valerio 2, 34127 Trieste (Italy)
2007-07-12T23:59:59.000Z
GLAST LAT will detect several solar flares in gamma rays. Motivated by the CGRO results on neutrons emitted during a solar flare, we try to estimate the possibility of the LAT to detect solar neutrons. Besides gamma rays, neutrons could indeed interact in the LAT instrument and mimic a gamma-ray signal. An estimate of the contamination of gamma-ray detection in solar flares by the neutron component is given.
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.
Section 5: Expected Value; Percentiles, Median, and Mode
2014-09-27T23:59:59.000Z
Sep 30, 2014 ... Smith finds the carnival game over-under-seven irresistible. The game involves the random toss of two fair dice. If a player bets 1 on over...
Placement of Traffic Barriers on Roadside and Median Slopes
Ferdous, Md Rubiat
2011-08-08T23:59:59.000Z
. These simulations capture the full encroachment event from departure of the vehicle off the traveled way through impact with the barrier....
Medians and Beyond: New Aggregation Techniques for Sensor Networks
Gao, Jie
databases, Query processing General Terms Algorithms Keywords Sensor Networks, Aggregation, Approximation Algorithms, Dis tributed Algorithms # The authors were supported by NSF grant IIS0121562 and Army Research Organisation grant DAAD1903D0004 through the In stitute for Collaborative Biotechnologies. Permission
Medians and Beyond: New Aggregation Techniques for Sensor Networks
Chaudhuri, Soma
databases, Query processing General Terms Algorithms, Performance Keywords Sensor Networks, Aggregation, Approximation Algorithms, Dis- tributed Algorithms The authors were supported by NSF grant IIS-0121562 and Army Research Organisation grant DAAD19-03-D-0004 through the In- stitute for Collaborative Biotechnologies
Computational study of large-scale p-Median problems
techniques to the simplex method for the solution of large-scale instances. ... instances up to 5535 nodes and 666639 arcs, arising from an industrial ..... For each node v ? TF ? AF we build a layered graph rooted in v, where layer.
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 Armstrongs estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Madhavacheril, Mathew S.; 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 workmoreof Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrongs estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.less
Cheng, Christine
rise to mirror posets and vice versa, and mirror posets give rise to SR stable matchings and vice versa to as the bipartite version of SR, is the stable marriage problem (SM). There are n men and n women each of whom ranks-0830678. 1 #12;preference list, append an arbitrary ordering of the other men; do the same for the women
Cheng, Christine
rise to mirror posets and vice versa, and mirror posets give rise to SR stable matchings and vice versa problem (SM). There are n men and n women each of whom ranks participants from the opposite sex only the same for the women. It is straightforward to check that both instances have exactly the same stable
A Flexible Method of Estimating Luminosity Functions
Brandon C. Kelly; Xiaohui Fan; Marianne Vestergaard
2008-05-19T23:59:59.000Z
We describe a Bayesian approach to estimating luminosity functions. We derive the likelihood function and posterior probability distribution for the luminosity function, given the observed data, and we compare the Bayesian approach with maximum-likelihood by simulating sources from a Schechter function. For our simulations confidence intervals derived from bootstrapping the maximum-likelihood estimate can be too narrow, while confidence intervals derived from the Bayesian approach are valid. We develop our statistical approach for a flexible model where the luminosity function is modeled as a mixture of Gaussian functions. Statistical inference is performed using Markov chain Monte Carlo (MCMC) methods, and we describe a Metropolis-Hastings algorithm to perform the MCMC. The MCMC simulates random draws from the probability distribution of the luminosity function parameters, given the data, and we use a simulated data set to show how these random draws may be used to estimate the probability distribution for the luminosity function. In addition, we show how the MCMC output may be used to estimate the probability distribution of any quantities derived from the luminosity function, such as the peak in the space density of quasars. The Bayesian method we develop has the advantage that it is able to place accurate constraints on the luminosity function even beyond the survey detection limits, and that it provides a natural way of estimating the probability distribution of any quantities derived from the luminosity function, including those that rely on information beyond the survey detection limits.
Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands
Szilagyi, Jozsef
Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands J supplies, accurate estimates of evapotranspiration (LE) from arid shrublands of the Southwestern United for estimating regional LE in arid shrubland environments. Our observational evidence supports the idea
Cost estimating projects for large cutter and hopper dredges
Belesimo, Francesco John
2000-01-01T23:59:59.000Z
Estimating the cost of a dredging project is the most important part of a project's life cycle. A precise account of the costs associated with performing dredging work begins with the production estimate and ends with the cost estimate...
Fourier Analytic Approach to Phase Estimation
Hiroshi Imai; Masahito Hayashi
2008-10-31T23:59:59.000Z
For a unified analysis on the phase estimation, we focus on the limiting distribution. It is shown that the limiting distribution can be given by the absolute square of the Fourier transform of $L^2$ function whose support belongs to $[-1,1]$. Using this relation, we study the relation between the variance of the limiting distribution and its tail probability. As our result, we prove that the protocol minimizing the asymptotic variance does not minimize the tail probability. Depending on the width of interval, we derive the estimation protocol minimizing the tail probability out of a given interval. Such an optimal protocol is given by a prolate spheroidal wave function which often appears in wavelet or time-limited Fourier analysis. Also, the minimum confidence interval is derived with the framework of interval estimation that assures a given confidence coefficient.
Estimating exposure of terrestrial wildlife to contaminants
Sample, B.E.; Suter, G.W. II
1994-09-01T23:59:59.000Z
This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.
Quantum limits to estimation of photon deformation
Giovanni De Cillis; Matteo G. A. Paris
2014-07-08T23:59:59.000Z
We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.
Optimal error estimates for corrected trapezoidal rules
Talvila, Erik
2012-01-01T23:59:59.000Z
Corrected trapezoidal rules are proved for $\\int_a^b f(x)\\,dx$ under the assumption that $f"\\in L^p([a,b])$ for some $1\\leq p\\leq\\infty$. Such quadrature rules involve the trapezoidal rule modified by the addition of a term $k[f'(a)-f'(b)]$. The coefficient $k$ in the quadrature formula is found that minimizes the error estimates. It is shown that when $f'$ is merely assumed to be continuous then the optimal rule is the trapezoidal rule itself. In this case error estimates are in terms of the Alexiewicz norm. This includes the case when $f"$ is integrable in the Henstock--Kurzweil sense or as a distribution. All error estimates are shown to be sharp for the given assumptions on $f"$. It is shown how to make these formulas exact for all cubic polynomials $f$. Composite formulas are computed for uniform partitions.
Robust estimation procedure in panel data model
Shariff, Nurul Sima Mohamad [Faculty of Science of Technology, Universiti Sains Islam Malaysia (USIM), 71800, Nilai, Negeri Sembilan (Malaysia); Hamzah, Nor Aishah [Institute of Mathematical Sciences, Universiti Malaya, 50630, Kuala Lumpur (Malaysia)
2014-06-19T23:59:59.000Z
The panel data modeling has received a great attention in econometric research recently. This is due to the availability of data sources and the interest to study cross sections of individuals observed over time. However, the problems may arise in modeling the panel in the presence of cross sectional dependence and outliers. Even though there are few methods that take into consideration the presence of cross sectional dependence in the panel, the methods may provide inconsistent parameter estimates and inferences when outliers occur in the panel. As such, an alternative method that is robust to outliers and cross sectional dependence is introduced in this paper. The properties and construction of the confidence interval for the parameter estimates are also considered in this paper. The robustness of the procedure is investigated and comparisons are made to the existing method via simulation studies. Our results have shown that robust approach is able to produce an accurate and reliable parameter estimates under the condition considered.
State energy data report 1996: Consumption estimates
NONE
1999-02-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.
Estimation of precipitable water from surface observations
Kahan, Archie Marion
1959-01-01T23:59:59.000Z
for estimating the precipitable water at Lake Charles, Louisiana. P red ic tors employed were surface vapor p re s ? sure, ceiling, cloud cover , cloud type, wind, pressure change and iv season. E rrors of estimate averaged approximately one tenth o f... of the photocells and the intense radiation of the noon sun leads one to accept the reality of a ce ll temperature greater than the ambient air temperature. The ce lls are, in effect, miniature green ? houses, The epoxy resin cylinder encasing the crysta l...
CONTAMINATED SOIL VOLUME ESTIMATE TRACKING METHODOLOGY
Durham, L.A.; Johnson, R.L.; Rieman, C.; Kenna, T.; Pilon, R.
2003-02-27T23:59:59.000Z
The U.S. Army Corps of Engineers (USACE) is conducting a cleanup of radiologically contaminated properties under the Formerly Utilized Sites Remedial Action Program (FUSRAP). The largest cost element for most of the FUSRAP sites is the transportation and disposal of contaminated soil. Project managers and engineers need an estimate of the volume of contaminated soil to determine project costs and schedule. Once excavation activities begin and additional remedial action data are collected, the actual quantity of contaminated soil often deviates from the original estimate, resulting in cost and schedule impacts to the project. The project costs and schedule need to be frequently updated by tracking the actual quantities of excavated soil and contaminated soil remaining during the life of a remedial action project. A soil volume estimate tracking methodology was developed to provide a mechanism for project managers and engineers to create better project controls of costs and schedule. For the FUSRAP Linde site, an estimate of the initial volume of in situ soil above the specified cleanup guidelines was calculated on the basis of discrete soil sample data and other relevant data using indicator geostatistical techniques combined with Bayesian analysis. During the remedial action, updated volume estimates of remaining in situ soils requiring excavation were calculated on a periodic basis. In addition to taking into account the volume of soil that had been excavated, the updated volume estimates incorporated both new gamma walkover surveys and discrete sample data collected as part of the remedial action. A civil survey company provided periodic estimates of actual in situ excavated soil volumes. By using the results from the civil survey of actual in situ volumes excavated and the updated estimate of the remaining volume of contaminated soil requiring excavation, the USACE Buffalo District was able to forecast and update project costs and schedule. The soil volume tracking methodology helped the USACE Buffalo District track soil quantity changes from projected excavation work over time and across space, providing the basis for an explanation of some of the project cost and schedule variances.
Estimating vehicle height using homographic projections
Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter
2013-07-16T23:59:59.000Z
Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.
Background Suppression Effects on Signal Estimation
Burr, Tom [Los Alamos National Laboratory
2008-01-01T23:59:59.000Z
Gamma detectors at border crossings are intended to detect illicit nuclear material. One performance challenge involves the fact that vehicles suppress the natural background, thus potentially reducing detection probability for threat items. Methods to adjust for background suppression have been considered in related but different settings. Here, methods to adjust for background suppression are tested in the context of signal estimation. Adjustment methods include several clustering options. We find that for the small-to-moderate suppression magnitudes exhibited in the analyzed data, suppression adjustment is only moderatel helpful in locating the signal peak, and in estimating its width or magnitude.
A robustness application for linear estimation
Kitzman, Kenneth Victor
1990-01-01T23:59:59.000Z
the maximization of a, term which reflects the ' contributions of both estimator robustness and performance. Recall from Chapter II that we denote this term as J = q P. + (1 ? q) %. , where q can vary, according to the estimator application, between zero... error formula, we recall from Chapter II tlrat the maximum of this performance value is achieved at the point E[XY] E[Xz] Recall that our example nominal densities are Jz+y, if0?*1, 0&y&1; ), 0, otherwise, f ()z+z, if0&z&1; I 0, otherwise. 23 I...
Recent experiences with error estimation and adaptivity
Haque, Khalid Ansar
1991-01-01T23:59:59.000Z
RECENT EXPERIENCES WITH ERROR ESTIMATION AND ADAPTIVITY A Thesis by K HA LID ANSA R I I A & )UE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE December 1991 Major Subject: Aerospace Engineering RECENT EXPERIENCES WITH ERROR ESTIMATION AND ADAPTIVITY A Thesis by KHALID ANSAR HAQUE Approved as to style and content by: W b4 f. ou Lou (i s T. Strouboulis (Chair of Committee) W. E...
Parameter and state estimation in nonlinear dynamical systems
Creveling, Daniel R.
2008-01-01T23:59:59.000Z
and J. Kurths. Nonlinear dynamical system identi?ca- tionEstimation In Nonlinear Dynamical Systems A dissertationState Estimation In Nonlinear Dynamical Systems by Daniel R.
Summary and Presentations from "Estimating the Benefits and Costs...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Summary and Presentations from "Estimating the Benefits and Costs of Distributed Energy Technologies" Workshop Now Available Summary and Presentations from "Estimating the Benefits...
Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...
Estimating Appliance and Home Electronic Energy Use | Department...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
how much electricity your appliances and home electronics use: The Energy Guide Label, which shows the estimated yearly operating cost and estimated yearly electricity use...
Methodology for Estimating Reductions of GHG Emissions from Mosaic...
Estimating Reductions of GHG Emissions from Mosaic Deforestation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Methodology for Estimating Reductions of GHG Emissions...
An Analytical Approach for Tail-Pipe Emissions Estimation with...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine and Aftertreatment System An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled...
Estimating the Benefits and Costs of Distributed Energy Technologies...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop -...
Estimating the Impact (Energy, Emissions and Economics) of the...
Office of Scientific and Technical Information (OSTI)
Technical Report: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry Citation Details In-Document Search Title: Estimating the Impact (Energy,...
Energy savings estimates and cost benefit calculations for high...
Office of Scientific and Technical Information (OSTI)
Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost...
Estimation and Control of Diesel Engine Processes Utilizing Variable...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve Actuation Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve...
Estimating Costs and Efficiency of Storage, Demand, and Heat...
Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's...
Lucas, Matthew Allen
2009-05-15T23:59:59.000Z
.............................................................. 31 Results: ROW Estimation State of Practice ................................... 31 Critical Issues ....................................................................... 32 Overview of Current Practice... ............................................... 35 Analysis: Critical Review of Practices ........................................... 41 General ROW Cost Estimation Procedure ........................... 42 ROW Cost Estimation...
Estimating density of Florida Key deer
Roberts, Clay Walton
2006-08-16T23:59:59.000Z
for this species since 1968; however, a need to evaluate the precision of existing and alternative survey methods (i.e., road counts, mark-recapture, infrared-triggered cameras [ITC]) was desired by USFWS. I evaluated density estimates from unbaited ITCs and road...
Temperature Dependent Wire Delay Estimation in Floorplanning
Nannarelli, Alberto
Temperature Dependent Wire Delay Estimation in Floorplanning Andreas Thor Winther, Wei Liu, Alberto, Arizona State University, Tempe, USA Abstract--Due to large variations in temperature in VLSI cir- cuits and the linear relationship between metal resistance and temperature, the delay through wires of the same length
Estimating the Burden of Neurocysticercosis in Mexico
Bhattarai, Rachana
2012-10-19T23:59:59.000Z
-demographic characteristics of NCC patients, to compare quality of life of individuals diagnosed with NCC with an age and sex matched control population and to estimate the non-monetary burden of NCC in Mexico. In order to accomplish these objectives, a case series of NCC...
BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL
Berger, Jim
BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL DUE TO TECHNOLOGY IMPROVEMENTS by Richard W. Andrews comments. 4 #12; 1. INTRODUCTION 1.1 Background and Overview In 1975 the Energy Policy and Conservation Act average fuel economy (CAFE) standard. This legislation separates each manufacturer's production
Research Summary Estimating Woodfuel Resource Cost Curves
and extraction methods. Background Just under half of the final energy consumed in the UK (49%) is in the formResearch Summary Estimating Woodfuel Resource Cost Curves As a renewable energy source, woodfuel. The woodfuel strategy adopted by Forestry Commission England supports delivery of these. It aims to sustainably
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING
Paris-Sud XI, Universit de
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jrgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jrgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns
REACTOR SAFETY KEYWORDS: best estimate plus
Hoppe, Fred M.
REACTOR SAFETY KEYWORDS: best estimate plus uncertainty analysis, epistemic error and aleatory phe- nomena that underlie the safety analyses. The use of BE codes within the reactor technology in advance and that result from a variety of operating conditions or states. These arise because the reactor
PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS
., under contract with the National Science Foundation. Funding for the program is provided by the following agencies: Department of Energy, Mines and Resources (Canada) Deutsche ForschungsgemeinschaftPRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS Ocean Drilling Program Texas A&M University
Guidelines for Estimating Unmetered Landscaping Water Use
McMordie Stoughton, Kate
2010-07-28T23:59:59.000Z
The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy one-stop-shop for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.
PMU Deployment for Optimal State Estimation Performance
Roy, Sumit
the observability of candidate deployments at each step and improves the convergence speed of the search. In [5PMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit electronic devices (IED), that sense the grid state variables so as to support enhanced, real-time monitoring
Estimating Vehicle Miles Traveled on Local Roads
Qian, Jiayu
2013-11-07T23:59:59.000Z
This research presents a new method to estimate the local road vehicle miles traveled (VMT) with the concept of betweenness centrality. Betweenness centrality is a measure of a nodes or links centrality on a network that has been applied popularly...
Estimating the uncertainty in underresolved nonlinear dynamics
Chorin, Alelxandre; Hald, Ole
2013-06-12T23:59:59.000Z
The Mori-Zwanzig formalism of statistical mechanics is used to estimate the uncertainty caused by underresolution in the solution of a nonlinear dynamical system. A general approach is outlined and applied to a simple example. The noise term that describes the uncertainty turns out to be neither Markovian nor Gaussian. It is argued that this is the general situation.
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING
Ewing, Richard E.
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade the location and subsequent remediation of contaminants in groundwater to the optimization of production on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
SWOT Satellite Mission: Combined State Parameter Estimation
Washington at Seattle, University of
-parameter estimation problem Data assimilation experiments Water depth Discharge Channel width Roughness coefficient #12;3 Need for a surface water mission Importance to hydrology gauge measurements insufficient hydraulics Amazon Siberia Ohio #12;4 Global gauge measurements #12;5 SWOT Technology These surface water
Essays on Estimation of Inflation Equation
Kim, Woong
2009-05-15T23:59:59.000Z
. . . . . . . . . . . . 11 1. Models . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2. Numerical Analysis for the Theoretical Relationship . 13 3. Numerical Analysis for the Empirical Issues . . . . . . 25 C. Alternative Kurtosis... 3. Detection of Outliers . . . . . . . . . . . . . . . . . . . 71 C. Empirical Results . . . . . . . . . . . . . . . . . . . . . . . 73 D. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 IV ESTIMATION OF HYBRID PHILLIPS CURVE...
Adaptive Background Estimation using Intensity Independent Features
Lunds Universitet
Adaptive Background Estimation using Intensity Independent Features Håkan Ardö, Rikard Berthilsson to rapid changes in lighting conditions. Furthermore, the features can be computed very efficiently using reliable way, also in outdoor scenes where the lighting conditions is changing rapidly due to passing
ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS
by assumptions related to economic growth, changes in electricity and natural gas rates, and a host of inputs Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION's demand forecast. #12;2 utility level.4 AAEE electricity savings were estimated for the Pacific Gas
IFE Target Fabrication, Delivery, and Cost Estimates
Foam Shell Generation Seal Coat Formation CO2 Drying High-Z Sputter CoatingDT Filling DT LayeringIFE Target Fabrication, Delivery, and Cost Estimates N. B. Alexander, L. Brown, D. Callahan, P degrees... SOMBRERO 3-D model for neutronics analysisLaser Fusion HIF - HYLIFE-II ZFE #12;An initial cost
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
Filtering and parameter estimation for electricity
Fournier, John J.F.
Filtering and parameter estimation for electricity markets by Alberto Molina-Escobar B to be particularly difficult for electricity, where markets are complex, and ex- hibit a number of unique features, mainly due to the problems involved in storing electricity. In this thesis we propose three models
Estimating Bounds for Quadratic Assignment Problems Associated ...
2010-09-17T23:59:59.000Z
?Department of Mathematics and Statistics, Arizona State University, Tempe, AZ 85287-. 1804 ... Department of Industrial and Enterprise System Engineering , ... Malah used the projection method [13] to estimate lower and upper bounds for ...... DIMACS 25 Series in Discrete Mathematics and Theoretical Computer Sci-.
Edgar Gabriel Estimation of MPI Application
Subhlok, Jaspal
Edgar Gabriel Estimation of MPI Application Performance on Volunteer Environments Girish Nandagudi, Jaspal Subhlok, Edgar Gabriel Department of Computer Science, University of Houston jaspal, egabriel@uh.edu Judit Gimenez Barcelona Supercomputing Center judit@bsc.es #12;Edgar Gabriel Overview The Volpex
Probability Grid: A Location Estimation Scheme for Wireless Sensor Networks
Stankovic, John A.
estimation, grid topology, probability. I. INTRODUCTION Recent advances in micro-electro-mechanical systems
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
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01T23:59:59.000Z
Chair of Advisory Committee: Dr. Shiping Li This thesis is a document of studying empirical statistics of the parameter estimates in parametric modeling. After reviewing some common estimation methods, some simulation results on the empirical..., a new estimation method is proposed to improve the accuracy of the estimates for ARMA models. In chapter four, a new estimation method is proposed for exponential models. This method first utilizes singular value decomposition of the signal...
A multivariate phase distribution and its estimation
Charles F. Cadieu; Kilian Koepsell
2009-06-21T23:59:59.000Z
Circular variables such as phase or orientation have received considerable attention throughout the scientific and engineering communities and have recently been quite prominent in the field of neuroscience. While many analytic techniques have used phase as an effective representation, there has been little work on techniques that capture the joint statistics of multiple phase variables. In this paper we introduce a distribution that captures empirically observed pair-wise phase relationships. Importantly, we have developed a computationally efficient and accurate technique for estimating the parameters of this distribution from data. We show that the algorithm performs well in high-dimensions (d=100), and in cases with limited data (as few as 100 samples per dimension). We also demonstrate how this technique can be applied to electrocorticography (ECoG) recordings to investigate the coupling of brain areas during different behavioral states. This distribution and estimation technique can be broadly applied to any setting that produces multiple circular variables.
Aerosol Best Estimate Value-Added Product
Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C
2012-07-19T23:59:59.000Z
The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.
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.
Interruption Cost Estimate Calculator | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP aCentrothermDepew,Independent EnergyInternational Maritime LawInterruption Cost Estimate Calculator
State energy data report 1992: Consumption estimates
Not Available
1994-05-01T23:59:59.000Z
This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.
Estimating Energy Savings in Compressed Air Systems
Schmidt, C.; Kissock, J. K.
2004-01-01T23:59:59.000Z
are frequently overestimated because the methods used to estimate savings neglect to consider important factors such as compressor control and type, storage, and multiple compressor operation. In this paper, a methodology is presented for modeling air... compressor performance and calculating projected energy savings from easily obtainable performance data such as full-load power, no-load power, rated capacity, average fraction full-load power or average fraction rated capacity. The methodology...
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.
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the Complex(MARSSIM) Site InvestigationType text]Dose Estimates and Other
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.
Non parametric estimation problems for truncated distribution
Al-Khalidi, Abdulsattar Rashid Saleem
1975-01-01T23:59:59.000Z
to estimate the parameters a and B, for the linear transformation Y = u + BX for complete distribu- tion, where q, = P(x, o, B) = F(y . ) is distributed either normally or i 1 binomially. He also discusses the case when the function is not linear... points (k non-overlapping intervals), by: U ? L y=L+ t lt 0, 1, 2, . . . , k U 10 11 12 lk-1 lk 14 and define "expected" proportional frequencies by: P(p(yl )) ? P(p(y )) t k-2 6P =F(a +oy +. . . +a y ) k-2 1 l, t-i ''' k-2 l, t-2 and finally...
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.
Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H
2010-01-01T23:59:59.000Z
Calibration Using GRACE Data and Base Flow Estimates [ 17 ]ESTIMATION USING GRACE DATA base flow data. In this casemeasured GRACE data and estimated base flow simultaneously
Cosmological parameter estimation: impact of CMB aberration
Catena, Riccardo [Institut fr Theoretische Physik, Friedrich-Hund-Platz 1, 37077 Gttingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de Fsica Fondamental i Institut de Cincies del Cosmos, Universitat de Barcelona, Mart i Franqus 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.
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.
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.
Estimating Power System Dynamic States Using Extended Kalman Filter
Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning
2014-10-31T23:59:59.000Z
AbstractThe 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.
Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation
Xu, X.; Wang, S.
2006-01-01T23:59:59.000Z
are estimated and optimized using short-term monitored operation data. A genetic algorithm estimator is developed to optimize these parameters. The parameter optimization of the simplified model and the hybrid building model are validated in a high...
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 Pepsis 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 Pepsis Price and Advertising
Asymptotics for the maximum likelihood estimators of diffusion models
Jeong, Minsoo
2009-05-15T23:59:59.000Z
In this paper I derive the asymptotics of the exact, Euler, and Milstein ML estimators for diffusion models, including general nonstationary diffusions. Though there have been many estimators for the diffusion model, their asymptotic properties were...
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
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...
New DOE Modeling Tool Estimates Economic Benefits of Offshore...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis...
New DOE Modeling Tool Estimates Economic Benefits of Offshore...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis To help...
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 Suppression of Eddy Mixing by Mean Flows
Klocker, Andreas
Particle- and tracer-based estimates of lateral diffusivities are used to estimate the suppression of eddy mixing across strong currents. Particles and tracers are advected using a velocity field derived from sea surface ...
New DOE Report Estimates LED Savings in Common Lighting Applications...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
New DOE Report Estimates LED Savings in Common Lighting Applications New DOE Report Estimates LED Savings in Common Lighting Applications July 24, 2015 - 11:00am Addthis The U.S....
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
Estimating Wireless Network Properties with Spatial Statistics and Models
Paris-Sud XI, Universit de
Estimating Wireless Network Properties with Spatial Statistics and Models Janne Riihij statistics and models for different estimation problems related to wireless networks. We focus specifically wireless networks. We provide a concise survey of existing techniques from the spatial statistics
Interconnect Delay and Area Estimation for Multiple-Pin Nets
Pan, David Z.
,000,000 second = 3 years ! #12;Needs for Efficient Interconnect Estimation Models nn EfficiencyEfficiency nn
Statewide Estimate of 2012 Safety Belt Use in Texas
Statewide Estimate of 2012 Safety Belt Use in Texas All Passenger Vehicles Passenger Cars Pickups Front Seat--Estimated Safety Belt Use 94.04 94.88 91.71 Driver--Estimated Safety Belt Use 94.66 95.56 92.10 Passenger--Estimated Safety Belt Use 91.05 91.74 82.11 #12;2012 Safety Belt Use in 18 Texas Cities #12
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,
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
NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of
Oak Ridge National Laboratory
NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of Mixed System Air Conditioners and Technology #12;NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of Mixed System Air Conditioners combination, an empirically based calculation procedure may be used for estimating a unit's Energy Efficiency
Optimal Estimation from Relative Measurements: Error Scaling (Extended Abstract)
Hespanha, Joo Pedro
"relative" measurement between xu and xv is available: uv = xu - xv + u,v Rk , (u, v) E V V, (1) whereOptimal Estimation from Relative Measurements: Error Scaling (Extended Abstract) Prabir Barooah Jo~ao P. Hespanha I. ESTIMATION FROM RELATIVE MEASUREMENTS We consider the problem of estimating a number
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
Ds, 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
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
A SENSOR AND DATA FUSION ALGORITHM FOR ROAD GRADE ESTIMATION
Johansson, Karl Henrik
A SENSOR AND DATA FUSION ALGORITHM FOR ROAD GRADE ESTIMATION Per Sahlholm Henrik Jansson Ermin presents a road grade estimation algorithm for fusion of GPS and vehicle real-time sensor data, with measurements from previous runs over the same road segment. The resulting road grade estimate is thus enhanced
ESTIMATION OF WOODY BIOMASS AVAILABILITY FOR ENERGY IN TEXAS
ESTIMATION OF WOODY BIOMASS AVAILABILITY FOR ENERGY IN TEXAS Prepared for Todd Staples Commissioner. Estimation of Woody Biomass Availability for Energy in Texas. College Station, TX: Texas Forest Service. 96 p. #12;Estimation of Woody Biomass Availability for Energy in Texas I Table of Contents TABLE
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
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
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
A Tool for Estimating Software Testing Requirements James M. Bieman
Bieman, James M.
A Tool for Estimating Software Testing Requirements James M. Bieman Department of Computer Science 10, 1990 Abstract We describe a prototype software tool that estimates the number of test cases to evaluate proposed testing techniques, estimate the resources required to test a software system
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
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
Fuzzy Estimation of DC Motor Winding Currents Innovatia Software
Simon, Dan
Fuzzy Estimation of DC Motor Winding Currents Dan Simon Innovatia Software 775 Rothrock Circle ux is rotated in the desired direction of ofuzzy ltering to motor winding current estimation stator windings. an attractive alternative to current estimation using In order to implement an e
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.
Kundu, Debasis
11]), in biomedical signal processing ([12,13]), modeling of biological systems ([14,15]), radio location of distant problem in digital signal processing. In this paper, we consider the problem of estimation of parameters are present in a variety of signal processing applications and time series data analysis. The review work
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
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.
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.
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.
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
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
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 Energys (DOEs) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).
IDC RP2 & 3 US Industry Standard Cost Estimate Summary.
Harris, James M.; Huelskamp, Robert M.
2015-01-01T23:59:59.000Z
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.
Fast cosmological parameter estimation using neural networks
T. Auld; M. Bridges; M. P. Hobson; S. F. Gull
2007-09-17T23:59:59.000Z
We present a method for accelerating the calculation of CMB power spectra, matter power spectra and likelihood functions for use in cosmological parameter estimation. The algorithm, called CosmoNet, is based on training a multilayer perceptron neural network and shares all the advantages of the recently released Pico algorithm of Fendt & Wandelt, but has several additional benefits in terms of simplicity, computational speed, memory requirements and ease of training. We demonstrate the capabilities of CosmoNet by computing CMB power spectra over a box in the parameter space of flat \\Lambda CDM models containing the 3\\sigma WMAP1 confidence region. We also use CosmoNet to compute the WMAP3 likelihood for flat \\Lambda CDM models and show that marginalised posteriors on parameters derived are very similar to those obtained using CAMB and the WMAP3 code. We find that the average error in the power spectra is typically 2-3% of cosmic variance, and that CosmoNet is \\sim 7 \\times 10^4 faster than CAMB (for flat models) and \\sim 6 \\times 10^6 times faster than the official WMAP3 likelihood code. CosmoNet and an interface to CosmoMC are publically available at www.mrao.cam.ac.uk/software/cosmonet.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Lu, Z.; Streets, D. G.; de Foy, B.; Lamsal, L. N.; Duncan, B. N.; Xing, J.
2015-05-28T23:59:59.000Z
Satellite remote sensing of tropospheric nitrogen dioxide (NO2) can provide valuable information for estimating surface nitrogen oxides (NOx) emissions. Using an exponentially-modified Gaussian (EMG) method and taking into account the effect of wind on observed NO2 distributions, we estimate three-year moving-average emissions of summertime NOx from 35 US urban areas directly from NO2 retrievals of the Ozone Monitoring Instrument (OMI) during 20052014. Following the conclusions of previous studies that the EMG method provides robust and accurate emission estimates under strong-wind conditions, we derive top-down NOx emissions from each urban area by applying the EMG method to OMI data with windmorespeeds greater than 35 m s-1. Meanwhile, we find that OMI NO2 observations under weak-wind conditions (i.e., -1) are qualitatively better correlated with the surface NOx source strength in comparison to all-wind OMI maps; and therefore we use them to calculate the satellite-observed NO2 burdens of urban areas and compare with NOx emission estimates. The EMG results show that OMI-derived NOx emissions are highly correlated (R > 0.93) with weak-wind OMI NO2 burdens as well as bottom-up NOx emission estimates over 35 urban areas, implying a linear response of the OMI observations to surface emissions under weak-wind conditions. The simultaneous, EMG-obtained, effective NO2 lifetimes (~3.5 1.3 h), however, are biased low in comparison to the summertime NO2 chemical lifetimes. In general, isolated urban areas with NOx emission intensities greater than ~ 2 Mg h-1 produce statistically significant weak-wind signals in three-year average OMI data. From 2005 to 2014, we estimate that total OMI-derived NOx emissions over all selected US urban areas decreased by 49%, consistent with reductions of 43, 47, 49, and 44% in the total bottom-up NOx emissions, the sum of weak-wind OMI NO2 columns, the total weak-wind OMI NO2 burdens, and the averaged NO2 concentrations, respectively, reflecting the success of NOx control programs for both mobile sources and power plants. The decrease rates of these NOx-related quantities are found to be faster (i.e., -6.8 to -9.3% yr-1) before 2010 and slower (i.e., -3.4 to -4.9% yr-1) after 2010. For individual urban areas, we calculate the R values of pair-wise trends among the OMI-derived and bottom-up NOx emissions, the weak-wind OMI NO2 burdens, and ground-based NO2 measurements; and high correlations are found for all urban areas (median R = 0.8), particularly large ones (R up to 0.97). The results of the current work indicate that using the EMG method and considering the wind effect, the OMI data allow for the estimation of NOx emissions from urban areas and the direct constraint of emission trends with reasonable accuracy.less
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.
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)].
Evaluation of mutual information estimators on nonlinear dynamic systems
A. Papana; D. Kugiumtzis
2008-09-12T23:59:59.000Z
Mutual information is a nonlinear measure used in time series analysis in order to measure the linear and non-linear correlations at any lag $\\tau$. The aim of this study is to evaluate some of the most commonly used mutual information estimators, i.e. estimators based on histograms (with fixed or adaptive bin size), $k$-nearest neighbors and kernels. We assess the accuracy of the estimators by Monte-Carlo simulations on time series from nonlinear dynamical systems of varying complexity. As the true mutual information is generally unknown, we investigate the existence and rate of consistency of the estimators (convergence to a stable value with the increase of time series length), and the degree of deviation among the estimators. The results show that the $k$-nearest neighbor estimator is the most stable and less affected by the method-specific parameter.
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.
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 and Reduction Methodologies for Fugitive Emissions from Equipment
Scataglia, A.
and programs that should allow a facility to further reduce the fugitive emissions estimated for equipment leaks. A facility should first assess what field testing procedures, data management, and emission estimation techniques are currently being used...Estimation and Reduction Methodologies for Fugitive Emissions from Equipment Anthony Scataglia, Branch Manager, Team, Incorporated, Webster, Texas ABSTRACT Environmental regulations have resulted in the need for industrial facilities...
Statewide Estimate of 2011 Safety Belt Use in Texas
Statewide Estimate of 2011 Safety Belt Use in Texas All Passenger Vehicles Passenger Cars Pickups Front Seat--Estimated Safety Belt Use Standard Error Lower 95% confidence limit Upper 95% confidence limit 93.68 2.31 89.15 98.21 94.67 2.28 90.20 99.14 90.81 2.33 86.24 95.38 Driver--Estimated Safety Belt
Quantum enhanced estimation of a multi-dimensional field
Tillmann Baumgratz; Animesh Datta
2015-07-10T23:59:59.000Z
We present a framework for the quantum enhanced estimation of multiple parameters corresponding to non-commuting unitary generators. Our formalism provides a recipe for the simultaneous estimation of all three components of a magnetic field. We propose a probe state that surpasses the precision of estimating the three components individually and discuss measurements that come close to attaining the quantum limit. Our study also reveals that too much quantum entanglement may be detrimental to attaining the Heisenberg scaling in quantum metrology.
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.
Estimating the Benefits and Costs of Distributed Energy Technologies...
Office of Environmental Management (EM)
Distributed Energy Technologies Workshop - Day 1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Grid Architecture...
Visual Vibrometry: Estimating Material Properties from Small Motions in Video
Davis, Myers Abraham
The estimation of material properties is important for scene understanding, with many applications in vision, robotics, and structural engineering. This paper connects fundamentals of vibration mechanics with computer ...
Estimating the Value of Electricity Storage Resources in Electricity...
Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this...
Modeling, Estimation, and Control of Waste Heat Recovery Systems
Luong, David
2013-01-01T23:59:59.000Z
State Estimation for Open Organic Rankine Cycle (ORC)138optimization of an organic Rankine cycle waste heat powerand Simulation of an Organic Rankine Cycle (ORC) System for
Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at...
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...
Ef?cient Parameter Estimation Using Implicit Statistical Inference
Patch Occupancy Models of Metapopulation Dynamics: Ef?cient Parameter. Estimation Using Implicit Statistical Inference. Atte Moilanen. Ecology, Vol. 80, No
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...
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, 185207. 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...
Radiological Source Term Estimates for the February 14, 2014...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
event. This document corresponds to Appendix D: Modeling Integrated Summary Report of the Technical Assessment Team Report. Radiological Source Term Estimates for the February 14,...
Report Now Available: DC Microgrids Scoping Study--Estimate of...
Broader source: Energy.gov (indexed) [DOE]
systems and improved energy utilization. Los Alamos National Laboratory has released a report titled DC Microgrids Scoping Study: Estimate of Technical and Economic Benefits,...
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.
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
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
Estimating energy-augmenting technological change in developing country industries
Sanstad, Alan H.; Roy, Joyashree; Sathaye, Jayant A.
2006-01-01T23:59:59.000Z
Productivity trends in India's energy-intensive industries,estimates. However, in India, the energy trend is negativefor several energy-intensive industries in India and South
Quality Guidline for Cost Estimation Methodology for NETL Assessments...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
National Energy Technology Laboratory Office of Program Performance and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies April 2011...
On Error Estimates of the Penalty Method for Unsteady Navier ...
Nov 26, 2002 ... http://WWW.jstor.org/about/terms.html. ... However, the best error estimates available to the author's knowledge" ... AMS subject classi?cations.
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...
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
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Energy Economics can ease this task. It is a free, open-access tool that estimates the hourly emissions and generation benefits of energy efficiency and renewable energy...
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....
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Smallwood, D.O.
1996-01-01T23:59:59.000Z
It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density matrix of the input and output records. The results can be equivalently obtained using singular value decomposition (SVD) of the cross-spectral density matrix. Using SVD suggests a new form of fractional coherence. The formulation as a SVD problem also suggests a way to order the inputs when a natural physical order of the inputs is absent.
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31T23:59:59.000Z
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 Authoritys Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the grid visibility question. The generator parameter identification method fills an important and practical need of the industry. The energy function based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to play back disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with play back capability.
Parameter estimation with Sandage-Loeb test
Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin, E-mail: gengjiajia163@163.com, E-mail: jfzhang@mail.neu.edu.cn, E-mail: zhangxin@mail.neu.edu.cn [Department of Physics, College of Sciences, Northeastern University, Shenyang 110004 (China)
2014-12-01T23:59:59.000Z
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2?
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...
Original article Estimation of leaf water content and specific leaf
Boyer, Edmond
Original article Estimation of leaf water content and specific leaf weight from reflectance and transmittance spectra measured over the 1 300-2 400-nm domain and the corresponding water content (g.cm-2) for pure water. We then investigated the possibility of estimating leaf water content and specific weight
FUNDAMENTALSTUDY FOR IMPROVEMENT OF ESTIMATION ACCURACY CHLORIDE CONTENT USING
Boyer, Edmond
by the electromagnetic wave radar that chloride contents and water contents, and temperature affected the electricalFUNDAMENTALSTUDY FOR IMPROVEMENT OF ESTIMATION ACCURACY CHLORIDE CONTENT USING ELECTROMAGNETIC, Tokyo, Japan mami.uchida.4k@stu.hosei.ac.jp ABSTRACT Chloride contents estimation using electromagnetic
Think Global, Act Local; Projectome Estimation with BlueMatter
Wandell, Brian A.
[1]. Understanding the architecture of these long-range projections (the projectome) is importantThink Global, Act Local; Projectome Estimation with BlueMatter Anthony J. Sherbondy1 , Robert F, USA Abstract. Estimating the complete set of white matter fascicles (the projectome) from diffusion
SARC Power Estimation Methodology Daniele Ludovici and Georgi N. Gaydadjiev
. Accurate estimation of power dis- sipation is very important during micro-architectural de- sign of every power consumption of the SARC architecture. SARC project is targeting next generation scalable com is one of the main challenges of this project. Therefore, adequate methodology to estimate it is needed
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
agronomie: agriculture and environment Estimation des apports de produits phytosanitaires
Paris-Sud XI, Universit 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 lters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman lters 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
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
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.
Parameter Estimation for the Heat Equation on Perforated Domains
Parameter Estimation for the Heat Equation on Perforated Domains H.T. Banks1 , D. Cioranescu2 , A: Inverse problems, parameter estimation, perforated domains, homogeniza- tion, thermal diffusion, ordinary porous samples by use of solutions of a heat equation on a randomly perforated domain. As noted
Parameter Estimation for the Heat Equation on Perforated Domains
Parameter Estimation for the Heat Equation on Perforated Domains H.T. Banks1 , D. Cioranescu2 , A for simulated data for heat flow in a porous medium. We consider data simulated from a model on a perforated Words: Inverse problems, parameter estimation, perforated domains, homogeniza- tion, thermal diffusion
ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL
furnace emissions to 2050. Despite insufficient variation in energy prices over the historical periodESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy
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
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.
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, Universit de
Interdisciplinary Institute for Innovation Estimating the costs of nuclear power: benchmarks;1/36 Estimating the costs of nuclear power: benchmarks and uncertainties Franois Lvque Introduction The debate and voters that they are being manipulated: each side is just defending its own interests and the true cost
2006 EAAM Photogrammetric Estimates of Size and Mass in Hawaiian
2006 EAAM Photogrammetric Estimates of Size and Mass in Hawaiian Monk Seals (Monachus-invasive photographic technique was devel- oped to estimate the body mass of Hawaiian monk seals (Monachus schauinslandi-kg weaned pups. Key Words: Hawaiian monk seals, Monachus schauinslandi, photogrammetry, morphometric
Estimating ventilation time scales using overturning stream functions
Ds, 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
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
A Multivariate Approach to Estimate Complexity of FMRI Time Series
A Multivariate Approach to Estimate Complexity of FMRI Time Series Henry Sch¨utze1,2 , Thomas (MPSE), a multivariate entropy ap- proach that estimates spatio-temporal complexity of fMRI time series. In a temporally sliding window, MPSE measures the differential entropy of an assumed multivariate Gaussian density
Multivariate Selection Response and Estimation of Fitness Surfaces
Walsh, Bruce
Multivariate Selection Response and Estimation of Fitness Surfaces 2nd Annual NSF short course: multivariate selection response (response when selection is acting on a vector of traits) and fitness surface traits. Multivariate Selection Response and Estimation of Fitness Surfaces, pg. 1 #12;* + Select All X Y
Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions
Paris-Sud XI, Universit 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
The ARM Best Estimate 2-dimensional Gridded Surface
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Xie,Shaocheng; Qi, Tang
The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set.
Efficient On-Line Estimation of Autoregressive Department of Mathematics
Sheldon, Nathan D.
control, optimization, and signal processing. A comprehensive survey of the related results and of some allows for incorporation of auxiliary information into the estimation process and, under certain class of on-line estimating procedures for the AR(m) processes. The advantage of our approach is that
Distance Estimation Using Bidirectional Communications Without Synchronous Clocking
Sethares, William A.
Estimation via Asynchronous Clocks (DEVAC) and (2) Distance Estimation via Asynchronous Phase Shift (DEVAPS a reply that acts analogously to the return of the radar. The DEVAPS method operates analogously and frequency accuracy are computed to show the limits of performance with the DEVAPS method. The analytical
Estimating Emissions in Latin America: An Alternative to Traffic Models
Richner, Heinz
Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Osss de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed
AIAA-2001-0044 Extreme Load Estimation for Wind Turbines
AIAA-2001-0044 Extreme Load Estimation for Wind Turbines: Issues and Opportunities for Improved design load estimation procedures for wind turbines often do not accurately treat the statistical nature of loads. Current practice for wind turbine load analysis is reviewed. The authors
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
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
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan
Spletzer, John R.
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan Aerospace Engineering, Penn for distributed parameter estimation of a previously unknown wind field is described. The application is dynamic parameterization of the wind field is used, allowing implementation of a linear Kalman filter for parameter
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.
Estimation of the optimal damping for mechanical vibrating systems
Truhar, Ninoslav
Estimation of the optimal damping for mechanical vibrating systems NinoslavTruhar, Zoran University of Osijek Series: Technical Reports #12;ESTIMATION OF THE OPTIMAL DAMPING FOR MECHANICAL VIBRATING in mechanical systems. Our algorithm optimize simultaneously the dampers' positions and their viscosities
STATISTICAL METHODS FOR1 ESTIMATING HISTORICAL FIRE2
Reed, W.J.
STATISTICAL METHODS FOR1 ESTIMATING HISTORICAL FIRE2 FREQUENCY FROM MULTIPLE FIRE3 SCAR DATA.4 of fire-interval charts8 based on fire-scar data. Estimation of the fire interval (expected time9 between scar-registering fires at any location) by maximum likelihood10 is presented. Because of the fact
NEAR SURFACE WATER CONTENT ESTIMATION USING GPR DATA: INVESTIGATIONS WITHIN
Rubin, Yoram
NEAR SURFACE WATER CONTENT ESTIMATION USING GPR DATA: INVESTIGATIONS WITHIN CALIFORNIA VINEYARDS S (sshubbard@lbl.gov) Detailed estimates of water content are necessary for variety of hydrogeological inves to obtain sufficient information about the spatial variation of water content within the root zone using
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
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
Guaranteed state estimation by zonotopes for systems with interval uncertainties
Damm, Werner
. Stoica T. Alamo E.F. Camacho D. Dumur This talk focuses on guaranteed state estimation by zonotopes [1 example. References [1] T. Alamo, J.M. Bravo, and E.F. Camacho. Guaranteed state estimation by zonotopes. Automatica, 41:10351043, 2005. [2] V.T.H. Le, T. Alamo, E.F. Camacho, C. Stoica, and D. Dumur. A new
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, Universit 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
Ridge Regression Estimation for Survey Samples Mingue Park
Yang, Min
Ridge Regression Estimation for Survey Samples Mingue Park and Min Yang Korea University and University of Missouri Abstract A procedure for constructing a vector of regression weights is considered. Under the re- gression superpopulation model, the ridge regression estimator that has minimum model mean
Probability Density Function Estimation Using Orthogonal Forward Regression
Chen, Sheng
Probability Density Function Estimation Using Orthogonal Forward Regression S. Chen, X. Hong and C estimation is formulated as a regression problem and the orthogonal forward regression tech- nique is adopted procedure. Two examples are used to demonstrate the ability of this regression- based approach
Conditional Regression Forests for Human Pose Estimation Pushmeet Kohli
Kohli, Pushmeet
Conditional Regression Forests for Human Pose Estimation Min Sun Pushmeet Kohli Jamie Shotton estimation from depth images. The conditional regression model proposed in the paper is general and can body joint prediction as a regression problem which avoids intermediate body part classification
Ridge Regression Estimation Approach to Measurement Error Model
Shalabh
Ridge Regression Estimation Approach to Measurement Error Model A.K.Md. Ehsanes Saleh Carleton of the regression parameters is ill conditioned. We consider the Hoerl and Kennard type (1970) ridge regression (RR) modifications of the five quasi- empirical Bayes estimators of the regression parameters of a measurement error
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.
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.
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.
Improving Estimation Accuracy of Aggregate Queries on Data Cubes
Pourabbas, Elaheh; Shoshani, Arie
2008-08-15T23:59:59.000Z
In this paper, we investigate the problem of estimation of a target database from summary databases derived from a base data cube. We show that such estimates can be derived by choosing a primary database which uses a proxy database to estimate the results. This technique is common in statistics, but an important issue we are addressing is the accuracy of these estimates. Specifically, given multiple primary and multiple proxy databases, that share the same summary measure, the problem is how to select the primary and proxy databases that will generate the most accurate target database estimation possible. We propose an algorithmic approach for determining the steps to select or compute the source databases from multiple summary databases, which makes use of the principles of information entropy. We show that the source databases with the largest number of cells in common provide the more accurate estimates. We prove that this is consistent with maximizing the entropy. We provide some experimental results on the accuracy of the target database estimation in order to verify our results.
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.
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.
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.
Estimating the Attractor Dimension of the Equatorial Weather System
Melvin Leok Boon Tiong
1995-10-25T23:59:59.000Z
The correlation dimension and limit capacity serve theoretically as lower and upper bounds, respectively, of the fractal dimension of attractors of dynamic systems. In this paper, we show that estimates of the correlation dimension grow rapidly with increasing noise level in the time-series, while estimates of the limit capacity remain relatively unaffected. It is therefore proposed that the limit capacity be used in studies of noisy data, despite its heavier computational requirements. An analysis of Singapore wind data with the limit capacity estimate revealed a surprisingly low dimension (~2.5). It is suggested that further studies be made with comprehensive equatorial weather data.
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...
A novel method for improving the accuracy of parameter estimates
Otter, Russell William
1985-01-01T23:59:59.000Z
-Squares Estimation Measures of Accuracy The Monte Carlo Study CHAPTER IV RESULTS FROM THE MONTE CARLO STUDY vi viii iX 10 21 24 26 28 28 33 40 44 The ULS Results The DSLS Results Comparison of ULS and DSLS 56 66 The Effect of The True Function... used in unbiased estimation are discussed as well as the measures used for this study. In the last section the Monte Carlo method is described in detail. Least-Squares Estimation This section examines the choice of the objective function...
Kernel regression estimates of time delays between gravitationally lensed fluxes
Otaibi, Sultanah AL; Cuevas-Tello, Juan C; Mandel, Ilya; Raychaudhury, Somak
2015-01-01T23:59:59.000Z
Strongly lensed variable quasars can serve as precise cosmological probes, provided that time delays between the image fluxes can be accurately measured. A number of methods have been proposed to address this problem. In this paper, we explore in detail a new approach based on kernel regression estimates, which is able to estimate a single time delay given several datasets for the same quasar. We develop realistic artificial data sets in order to carry out controlled experiments to test of performance of this new approach. We also test our method on real data from strongly lensed quasar Q0957+561 and compare our estimates against existing results.
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 ...
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, ...
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 and Fate of New Production in the Marine Environment
McInnes, Allison Skinner
2014-06-03T23:59:59.000Z
The fate of carbon in the ocean determines both the amount of CO_(2) that can be sequestered and the amount of sustainable biomass. Compartmentalization into new and regenerated production allows a first order estimate of ...
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 ...
EM algorithm estimation of TCM scheme over multipath fading
Gunawan, Wiedy
1997-01-01T23:59:59.000Z
Channel State Estimation on Slow-Fading Channels, " Proceedings 1994 IEEE International Symposium on Information Theory, Trondheim, Norway, June 1994, p. 27. [3] Jae Choong Han, "Optimum Decoding of TCM in the Presence of Phase Errors, " M. S. Thesis...
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.
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 ...
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.
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.
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...
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 ...
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
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...
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...
Indonesia Power Generation Capacity is Estimated to Reach 90...
Indonesia Power Generation Capacity is Estimated to Reach 90.1 GW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor 23...
Biomass Power Generation Market Capacity is Estimated to Reach...
Biomass Power Generation Market Capacity is Estimated to Reach 122,331.6 MW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150)...
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 ...
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.
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 ...
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.
A Method for Estimating Undiscovered Geothermal Resources in...
the Great Basin Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: A Method for Estimating Undiscovered Geothermal Resources in Nevada and the...
A 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 Method of Estimating Fractured Reservoir Geometry from Tracer...
Brush Busters: How to Estimate Costs for Controlling Small Cedar
Ueckert, Darrell; McGinty, Allan
2001-04-25T23:59:59.000Z
Simple directions help you determine the density of cedar on rangeland or improved pastures, and then estimate the cost of controlling these plants with any of the three Brush Busters methods.
Brush Busters: How to Estimate Costs for Controlling Small Mesquite
Ueckert, Darrell; McGinty, Allan
1999-04-15T23:59:59.000Z
This publication includes simple directions for determining the density of mesquite and then estimating the cost of controlling these plants with either the leaf spray or stem spray method.
A reconciled estimate of ice-sheet mass balance
2012-01-01T23:59:59.000Z
Estimate of Ice-Sheet Mass Balance Andrew Shepherd, 1 * Erikand models of surface mass balance and glacial isostaticThis Ice Sheet Mass Balance Exercise (IMBIE) was facilitated
Linear estimation of flux sensitivity to uncertainty in porous media
Evans, A. J.; Caulfield, C. P.; Woods, Andrew W.
2015-03-11T23:59:59.000Z
to construct an estimation for the permeability across the flow domain. A widely used example of linear interpolation in mining, hydrology and fossil fuel extraction is kriging. Kriging was first proposed by D. G. Krige (Krige 1951) and subsequently promoted...
Bearing estimation techniques for improved performance spread spectrum receivers
Thompson, John S
The main topic of this thesis is the use of bearing estimation techniques combined with multiple antenna elements for spread spectrum receivers. The motivation behind this work is twofold: firstly, this type of receiver ...
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.
Geothermal reservoir temperatures estimated from the oxygen isotope...
of Yellowstone Park, Wyoming, Long Valley, California, and Raft River, Idaho to estimate deep reservoir temperatures of 360, 240, and 142C, respectively. Authors McKenzie, W.F.;...
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 ...
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
Simulation-based comparison of TCP retransmission timeout estimators
Shankarkumar, Vinaychandra
2000-01-01T23:59:59.000Z
The implementation of the retransmission timeout estimator for TCP re-initializes the timer with the retransmit timeout (RTO) after receiving an acknowledgement (ACK), if any more segments are in flight. This allows an ...
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.
Estimating Costs and Efficiency of Storage, Demand, and Heat...
Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters March 10, 2015 - 7:38pm Addthis...
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 ...
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 ...
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...
Spatial correlation structure estimation using geophysical and hydrogeological data
Hubbard, Susan
and sufficient hydraulic property measurements using conventional sampling techniques, render estimation the spatial correlation structure of these properties using these conventional field sampling techniques) hydrological techniques require drilling, and the installed wells change the nature of the flow processes
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.
Estimation and Fate of New Production in the Marine Environment
McInnes, Allison Skinner
2014-06-03T23:59:59.000Z
The fate of carbon in the ocean determines both the amount of CO_(2) that can be sequestered and the amount of sustainable biomass. Compartmentalization into new and regenerated production allows a first order estimate of carbon available...
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.
Brush Busters: How to Estimate Costs for Controlling Small Cedar
Ueckert, Darrell; McGinty, Allan
2001-04-25T23:59:59.000Z
Simple directions help you determine the density of cedar on rangeland or improved pastures, and then estimate the cost of controlling these plants with any of the three Brush Busters methods....
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.
Seismic Fragility Analysis and Loss Estimation for Concrete Structures
Bai, Jong Wha
2012-02-14T23:59:59.000Z
The main objective of this study is to develop a methodology to assess seismic vulnerability of concrete structures and to estimate direct losses related to structural damage due to future seismic events. This dissertation ...
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 ...
Observational tests of hurricane intensity estimations using GPS radio occultations
Vergados, Panagiotis
This study presents a novel approach to estimating the intensity of hurricanes using temperature profiles from Global Positioning System radio occultation (GPSRO) measurements. Previous research has shown that the temperature ...
Variable Selection and Function Estimation Using Penalized Methods
Xu, Ganggang
2012-02-14T23:59:59.000Z
Penalized methods are becoming more and more popular in statistical research. This dissertation research covers two major aspects of applications of penalized methods: variable selection and nonparametric function estimation. ...
A categorical model for traffic incident likelihood estimation
Kuchangi, Shamanth
2007-04-25T23:59:59.000Z
that the model distinguished different levels of crash rate for different precursor values and hence could be a useful tool in estimating the likelihood of incidents for real-time freeway incident management systems....
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
Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic
U.S. Energy Information Administration (EIA) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home PageSummary" ,"Click worksheet nameDomesticResidentialEstimatedCrude Oil + Lease CondensateFeet) Estimated
Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)
U.S. Energy Information Administration (EIA) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home PageSummary" ,"Click worksheet nameDomesticResidentialEstimatedCrude Oil +DecadeEstimated Production (Billion Cubic
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.
Mesoscale ensemble-based data assimilation and parameter estimation
Aksoy, Altug
2005-11-01T23:59:59.000Z
-1 MESOSCALE ENSEMBLE-BASED DATA ASSIMILATION AND PARAMETER ESTIMATION A Dissertation by ALTUG AKSOY Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR... OF PHILOSOPHY August 2005 Major Subject: Atmospheric Sciences MESOSCALE ENSEMBLE-BASED DATA ASSIMILATION AND PARAMETER ESTIMATION A Dissertation by ALTUG AKSOY Submitted to the Office of Graduate Studies of Texas A...
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.
Mesoscale predictability and background error convariance estimation through ensemble forecasting
Ham, Joy L
2002-01-01T23:59:59.000Z
MESOSCALE PREDICTABILITY AND BACKGROUND ERROR COVARIANCE ESTIMATION THROUGH ENSEMBLE FORECASTING A Thesis by JOY L. HAM Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 2002 Major Subject: Atmospheric Sciences MESOSCALE PREDICTABILITY AND BACKGROUND ERROR COVARIANCE ESTIMATION THROUGH ENSEMBLE FORECASTING A Thesis by JOY L. HAM Submitted to the Office of Graduate Studies...
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.
Using percolation techniques to estimate interwell connectivity probability
Li, Weiqiang
2009-06-02T23:59:59.000Z
results for fluid travel time between locations in a percolation model, we developed a method to estimate interwell connectivity. Three parameters are needed to use this approach: the sandbody occupied probability sand p , the dimensionless reservoir... and can estimate the interwell connectivity accurately for thin intervals with sand p in the 60% to 80% range. The proposed method requires that the reservoir interval for evaluation be sufficiently thin so that 2D percolation results can...
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
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
ESTIMATION AND SPECIFICATION TESTS OF COUNT DATA RECREATION DEMAND FUNCTIONS A Thesis IRMA ADRIANA GOMEZ Submitted to the Office of Graduate Studies of Texas A8cM University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE December 1991 Major Subject: Agricultural Economics ESTIMATION AND SPECIFICATION TESTS OF COUNT DATA RECREATION DEMAND FUNCTIONS A Thesis by IRMA ADRIANA GOMEZ Approved as to style and content by: T o a, Jr. (C a' of Committee) Lonnie...
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.
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...
Mesoscale predictability and background error convariance estimation through ensemble forecasting
Ham, Joy L
2002-01-01T23:59:59.000Z
MESOSCALE PREDICTABILITY AND BACKGROUND ERROR COVARIANCE ESTIMATION THROUGH ENSEMBLE FORECASTING A Thesis by JOY L. HAM Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 2002 Major Subject: Atmospheric Sciences MESOSCALE PREDICTABILITY AND BACKGROUND ERROR COVARIANCE ESTIMATION THROUGH ENSEMBLE FORECASTING A Thesis by JOY L. HAM Submitted to the Office of Graduate Studies...
A review of instrumental variable estimators for Mendelian randomization
Burgess, Stephen; Small, Dylan S.; Thompson, Simon G.
2015-07-13T23:59:59.000Z
, and so do not change due to environmental factors, thus avoiding reverse causation; and genetic variants are generally inherited independently, meaning that they tend to be specific in their associations. The use of genetic variants as instrumental... or logistic regression with a binary outcome. Although a causal estimate is likely to differ from the effect of a clinical intervention on the same exposure in practice [7], an effect estimate may be desired, for instance, to give a quantitative indication...
An evaluation of risk simulation models for reserve estimates
Judah, Janeen Sue
1983-01-01T23:59:59.000Z
1983 Major Subject: Petroleum Engineering AN EVALUATION OF RISK SIMULATION MODELS FOR RESERVE ESTIMATES A Thesis by JANEEN SUE JUDAH A pproved as to style and content by: (Chairman of Committee) Richard A. tartzman (Member) eund ( mber) o 9... in estimating reserves for petroleum economic evaluations is an 1mportant everyday problem encountered by practicing petroleum engineers. This study addresses the problem of est1mating reserves for petroleum evaluations with little available data. The risk...
Tyre curve estimation in slip-controlled braking
Miller, Jonathan I.; Cebon, David
2015-06-09T23:59:59.000Z
al.8, 9 that actuation delays in heavy vehicles could be reduced by an order of magnitude (from over 40 ms to under 4 ms) by placing fast pneumatic valves featuring binary-actuation technology directly on brake chambers, instead of conventional... estimated with a sliding mode observer by Cadiou et al.23 The estimator produced plausible force time histories, but the results showed significant scatter when plotted on slip-friction curves. Tyre curve identification Knowledge of the road friction...
Semi-analytical estimates of permeability obtained from capillary pressure
Huet, Caroline Cecile
2006-04-12T23:59:59.000Z
-1 SEMI-ANALYTICAL ESTIMATES OF PERMEABILITY OBTAINED FROM CAPILLARY PRESSURE A Thesis by CAROLINE CECILE HUET Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 2005 Major Subject: Petroleum Engineering SEMI-ANALYTICAL ESTIMATES OF PERMEABILITY OBTAINED FROM CAPILLARY PRESSURE A Thesis by CAROLINE CECILE HUET...
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.
An Improved Virial Estimate of Solar Active Region Energy
M. S. Wheatland; T. R. Metcalf
2005-09-21T23:59:59.000Z
The MHD virial theorem may be used to estimate the magnetic energy of active regions based on vector magnetic fields measured at the photosphere or chromosphere. However, the virial estimate depends on the measured vector magnetic field being force-free. Departure from force-freeness leads to an unknown systematic error in the virial energy estimate, and an origin dependence of the result. We present a method for estimating the systematic error by assuming that magnetic forces are confined to a thin layer near the photosphere. If vector magnetic field measurements are available at two levels in the low atmosphere (e.g. the photosphere and the chromosphere), the systematic error may be directly calculated using the observed horizontal and vertical field gradients, resulting in an energy estimate which is independent of the choice of origin. If (as is generally the case) measurements are available at only one level, the systematic error may be approximated using the observed horizontal field gradients together with a simple linear force-free model for the vertical field gradients. The resulting `improved' virial energy estimate is independent of the choice of origin, but depends on the choice of the model for the vertical field gradients, i.e. the value of the linear force-free parameter $\\alpha$. This procedure is demonstrated for five vector magnetograms, including a chromospheric magnetogram.
Lucas, Matthew Allen
2009-05-15T23:59:59.000Z
Escalation of right-of-way (ROW) costs have been shown to be a prime contributor to project cost escalation in the highway industry. Two problems contribute to ROW cost escalation: 1) the ROW cost estimation and cost ...
Hideyuki Tagoshi; Chandra Kant Mishra; Archana Pai; K. G. Arun
2014-12-12T23:59:59.000Z
We investigate the effects of using the {\\it full} waveform (FWF) over the conventional {\\it restricted} waveform (RWF) of the inspiral signal from a coalescing compact binary (CCB) system in extracting the parameters of the source, using a global network of second generation interferometric detectors. We study a hypothetical population of (1.4-10)$M_\\odot$ NS-BH binaries (uniformly distributed and oriented in the sky) by employing the full post-Newtonian waveforms, which not only include contributions from various harmonics other than the dominant one (quadrupolar mode) but also the post-Newtonian amplitude corrections associated with each harmonic, of the inspiral signal expected from this system. It is expected that the GW detector network consisting of the two LIGO detectors and a Virgo detector will be joined by KAGRA and by proposed LIGO-India. We study the problem of parameter estimation with all 16 possible detector configurations. Comparing medians of error distributions obtained using FWFs with those obtained using RWFs (which only include contributions from the dominant harmonic with Newtonian amplitude) we find that the measurement accuracies for luminosity distance and the cosine of the inclination angle improve almost by a factor of 1.5-2 depending upon the network under consideration. Although the use of FWF does not improve the source localization accuracy much, the global network consisting of five detectors will improve the source localization accuracy by a factor of 4 as compared to the estimates using a 3 detector LIGO-Virgo network for the same waveform model.
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.
CALIBRATING C-IV-BASED BLACK HOLE MASS ESTIMATORS
Park, Daeseong; Woo, Jong-Hak; Shin, Jaejin [Astronomy Program, Department of Physics and Astronomy, Seoul National University, Seoul 151-742 (Korea, Republic of); Denney, Kelly D., E-mail: pds2001@astro.snu.ac.kr, E-mail: woo@astro.snu.ac.kr, E-mail: jjshin@astro.snu.ac.kr, E-mail: kelly@dark-cosmology.dk [Dark Cosmology Centre, Niels Bohr Institute, Juliane Maries Vej 30, DK-2100 Copenhagen O (Denmark)
2013-06-20T23:59:59.000Z
We present the single-epoch black hole mass estimators based on the C IV {lambda}1549 broad emission line, using the updated sample of the reverberation-mapped active galactic nuclei and high-quality UV spectra. By performing multi-component spectral fitting analysis, we measure the C IV line widths (FWHM{sub C{sub IV}} and line dispersion, {sigma}{sub C{sub IV}}) and the continuum luminosity at 1350 A (L{sub 1350}) to calibrate the C-IV-based mass estimators. By comparing with the H{beta} reverberation-based masses, we provide new mass estimators with the best-fit relationships, i.e., M{sub BH}{proportional_to}L{sub 1350}{sup 0.50{+-}0.07}{sigma}{sub C{sub IV}{sup 2}} and M{sub BH}{proportional_to}L{sub 1350}{sup 0.52{+-}0.09} FWHM{sub C{sub IV}{sup 0.56{+-}0.48}}. The new C-IV-based mass estimators show significant mass-dependent systematic difference compared to the estimators commonly used in the literature. Using the published Sloan Digital Sky Survey QSO catalog, we show that the black hole mass of high-redshift QSOs decreases on average by {approx}0.25 dex if our recipe is adopted.
Estimation of uncertainty for contour method residual stress measurements
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.
2015-03-01T23:59:59.000Z
This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulnessmoreof the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 76 mm, the estimated uncertainty was approximately 5 MPa (?/E = 7 10??) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (?/E = 14 10??).less
Donnell, Kelly Elaine
2005-08-29T23:59:59.000Z
that a relationship exists between applying good estimating practices and minimizing cost escalation from the initial planning estimate to the engineer??s estimate at final design. The objective of this research is to develop a preliminary list...
Improved measurement placement and topology processing in power system state estimation
Wu, Yang
2009-06-02T23:59:59.000Z
State estimation plays an important role in modern power system energy management systems. The network observability is a pre-requisite for the state estimation solution. Topological error in the network may cause the state estimation results...
EFFICIENT NONPARAMETRIC DENSITY ESTIMATION ON THE SPHERE WITH APPLICATIONS IN FLUID MECHANICS
Egecioglu, mer
EFFICIENT NONPARAMETRIC DENSITY ESTIMATION ON THE SPHERE WITH APPLICATIONS IN FLUID MECHANICS OMER density, nonparametric estimation, fluid mechanics, convergence, kernel method, efficient algorithm AMS, an important application of nonparametric density estimation is in computational fluid mechanics. When the flow
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...
Vision-based head pose estimation and interactivity analysis : algorithms, systems and evaluation
Murphy-Chutorian, Erik Marshall
2009-01-01T23:59:59.000Z
1.3 Head Pose Estimation Methods . . . . . .Chapter 1 A Survey of Head Pose Estimation in Computer 1.11.4 Head Pose Estimation Comparisons . . . . . . . . 1.4.1
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...
Gruben, David Christopher
1987-01-01T23:59:59.000Z
MODEL A Thesis by DAVID CHRISTOPHER GRUBEN Approved as to style and content by: P. Fred Dahm (Chair of Committee) Thomas E. Wehrly (Member) Roy F. Gilbert (Member) ge (Interim Head of Department) August 1987 ABSTRACT Development of a.... Small sample properties of the three estimators will be examined. Key Words: measurement error, structural model, maximum likelihood, in- strumental variable, consistent, asymptotic variance. DEDICATION To my parents, James and Theresa Gruben...
Inter-sensor propagation delay estimation using sources of opportunity
Vincent, Rmy; 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.
Model Year 2005 Fuel Economy Guide: EPA Fuel Economy Estimates
None
2004-11-01T23:59:59.000Z
The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.
Non-parametric estimation of Fisher information from real data
Shemesh, Omri Har; Miano, Borja; Hoekstra, Alfons G; Sloot, Peter M A
2015-01-01T23:59:59.000Z
The Fisher Information matrix is a widely used measure for applications ranging from statistical inference, information geometry, experiment design, to the study of criticality in biological systems. Yet there is no commonly accepted non-parametric algorithm to estimate it from real data. In this rapid communication we show how to accurately estimate the Fisher information in a nonparametric way. We also develop a numerical procedure to minimize the errors by choosing the interval of the finite difference scheme necessary to compute the derivatives in the definition of the Fisher information. Our method uses the recently published "Density Estimation using Field Theory" algorithm to compute the probability density functions for continuous densities. We use the Fisher information of the normal distribution to validate our method and as an example we compute the temperature component of the Fisher Information Matrix in the two dimensional Ising model and show that it obeys the expected relation to the heat capa...
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.
Estimate of resources required for a meaningful reform of education
Glazek, Stanislaw D
2012-01-01T23:59:59.000Z
A simple estimate in terms of currency units shows that a meaningful educational reform process can be launched and sustained over many generations of teachers with support of parents of students. In the estimate, the steady inflow of resources from parents provides support for advanced studies by teachers. Not to waste the resources on spurious activities, the estimated inflow proceeds directly from the parents as clients to the providers of required reform program. The providers are the experts in various disciplines who excel in helping teachers become great. Their services to teachers are ultimately assessed by parents on the basis of changes in behavior of children. The resulting reform program grows slowly from small seeds. The running cost of the reform process to parents appears surprisingly low while its development leads to the desired changes over time.
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.
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.
Estimation of the Mass Outflow Rate From Compact Objects
Sandip K. Chakrabarti
1998-12-02T23:59:59.000Z
Outflows are common in many astrophysical systems which contain black holes and neutron stars. Difference between stellar outflows and outflows from these systems is that the outflows in these systems have to form out of the inflowing material only. The inflowing material can form a hot and dense cloud surrounding the compact object either because of centrifugal barrier or a denser barrier due to pair plasma or pre-heating effects. This barrier behaves like a stellar surface as far as the mass loss is concerned. We estimate the outflow rate from such considerations. These estimated rates roughly match with the rates in real observations as well as those obtained from numerical experiments.
Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706 802 1979-2013OctoberEstimated ProductionWorkingProduction (BillionYear JanEstimated
Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review
Ruth, M.
2011-10-01T23:59:59.000Z
This independent review is the conclusion arrived at from data collection, document reviews, interviews and deliberation from December 2010 through April 2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification. The Panel reviewed the current H2A case (Version 2.12, Case 01D) for hydrogen production via biomass gasification and identified four principal components of hydrogen levelized cost: CapEx; feedstock costs; project financing structure; efficiency/hydrogen yield. The panel reexamined the assumptions around these components and arrived at new estimates and approaches that better reflect the current technology and business environments.
Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint
Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.
2013-05-01T23:59:59.000Z
The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.
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...