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1

Student UEC Member Goes Above and Beyond  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Student UEC Member Goes Above and Beyond Student UEC Member Goes Above and Beyond Print As a student representative to the ALS Users Executive Committee (UEC) for the past two...

2

09/14/2012 UEC Lunch Meeting Attended by: All 2012 UEC members...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

UEC Lunch Meeting Attended by: All 2012 UEC members, Sean Smith, Peter Cummings, Tony Haynes * Discussion of Intro slides from Sean . They were approved as is. * Discussion about...

3

CNMS UEC Agenda, Wednesday, October 1, 2014  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of which have already been addressed in the Strategic Plan * UEC will have opportunity to review the Strategic Plan for annual updates, identify how UEC can can become more...

4

Microsoft Word - UEC_LURR20130062_CX  

Broader source: Energy.gov (indexed) [DOE]

Sandra Billings - TERR-FRANKLIN Sandra Billings - TERR-FRANKLIN Project Manager Proposed Action: Umatilla Electric Cooperative (UEC) use of right-of-way south of McNary Substation Land Use Review Request Case No.: 20130062 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B4.9 Multiple Use of Powerline Rights-of-Way Location: Umatilla, Oregon Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to allow UEC to use 0.7 miles of BPA fee-owned right-of-way to construct a portion of a 3-mile, double-circuit 115-kV transmission line. The area has been previously disturbed by the construction of transmission lines and other utilities. UEC's proposed line would cross eight BPA transmission lines ranging in voltage from

5

Microsoft Word - UEC Town_Hall_Meeting_notes.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3. Nominations for the UEC 20132014: We discussed the nomination and election process and discussed the current slate of nominees. There are two for vice chair, one for...

6

Microsoft Word - UEC_Minutes_20130510.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

May 10, 2013 May 10, 2013 Attending: Mary Anne Cummings, Craig Group, Daniel Kaplan, Sergo Jindariani, Breese Quinn (remote), Lee Roberts, Mandy Rominsky, Gregory Snow (remote), Nikos Varelas, Bob Zwaska (Not Present: Ryan Patterson, Greg Pawloski) FSPA: Leo Aliaga, Carrie McGivern Guests: Barb Book, Kaitlin Chell (remote), Stephen Holmes, Young-Kee Kim (remote), Pier Oddone (remote), Bob Tschirhart Presentations https://indico.fnal.gov/conferenceDisplay.py?confId=6829 Chair's Report - Nikos Varelas The UEC will need to elect six new members this year. Last year there were 18 nominations, which was considered to be a large number. Nominations can be made by the UEC or by written petitions. Nikos submitted testimony to the Senate Energy and Water Development Appropriations

7

Microsoft Word - UEC_Minutes_Sep14_2012.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

September 14, 2012 September 14, 2012 Attending: Mary Anne Cummings, Craig Group (remote), Sergo Jindariani, Daniel Kaplan, , Greg Pawloski (remote), Breese Quinn, Lee Roberts (remote), Mandy Rominsky, Gregory Snow, Nikos Varelas, Bob Zwaska (Absent: Ryan Patterson) GSA officers: Chris Prokop, Brian Tice Guests: Michael Cooke, Barb Book, Pier Oddone Introduction - UEC Procedures and Administration - Barb Book The UEC is administered through the International Services Office. Barb is our primary contact, helping organize travel, the monthly meetings, the Washington visit, and the Users Meeting. News from the Directorate - Pier Oddone Starting with politics, the Director noted that funding is likely to be tight in all scenarios. Congress is in the process of passing a continuing resolution for 6 months.

8

UEC Conference Call Minutes, Wednesday, May 4, 2011 10:00-11:00am EST  

E-Print Network [OSTI]

UEC Conference Call Minutes, Wednesday, May 4, 2011 10:00-11:00am EST Participants (attendees at Theme meeting on Friday ­ ranked list will be distributed after the meeting Next Conference Call ­ TBD

Pennycook, Steve

9

Microsoft Word - UEC_Minutes_19Apr13.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

April 19, 2013 April 19, 2013 Attending: Mary Anne Cummings, Craig Group, Sergo Jindariani, Ryan Patterson, Greg Pawloski (remote), Lee Roberts (remote), Breese Quinn (remote), Mandy Rominsky, Gregory Snow, Nikos Varelas (Not Present: Daniel Kaplan, Bob Zwaska) FSPA: Anthony Barker, Carrie McGivern Guests: Pier Oddone, Young-Kee Kim, Glen Crawford, Carole McGuire Presentations https://indico.fnal.gov/conferenceDisplay.py?confId=6718 News from the Directorate - Pier Oddone and Young-Kee Kim Pier discussed the aftermath of the President's FY14 budget. HEP is reduced by 1.8%. It may take a while to know what the final number will be. Pier and Young-Kee praised UEC's efforts for passing a strong message to the members of Congress supporting the HEP program during our March trip to the Capitol Hill.

10

CNMS_UEC_19_Sep_2011_Smith.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Annual Annual Meeting of the CNMS User Executive Committee September 1 9, 2 011 a t 1 2:15P, ORNL Bldg 8600, Room C--152 UEC Members Attending: Mark Dadmun (Chair), Martyn McLachlan, Nina Balke, David Bucknall, Vivek Prabhu, Colin Wolden, Marco Nardelli, Michael Hickner, Tony Hmelo CNMS r epresentatives: Peter Cummings, Laura Edwards, Tony Haynes, Sean Smith Meeting C onvened 1 2:15P CNMS Update Provided by Sean Smith (slides attached) Discussion P oints * It was noticed that the total number of user publications for the current year through 9/9/11 appear to be down. Haynes explained that this is an artifact of the data collection cycle and that the year was not complete. * The number of active user projects appears to be leveling off at ~250 per year. CNMS

11

UEC MSP OPSYE, Technologie des centrales nuclaires Projets d'Approfondissement Autonome  

E-Print Network [OSTI]

http://florent.ravelet.free.fr/uec.html Liens utiles : http://organic-rankine-cycle.blogspot.fr http sera divis� en deux �quipes mises en concurrence. Les cycles � r�aliser sont du type cycle de Hirn-Rankine, circuit hydraulique...). La moiti� du groupe (TSx1) travaillera sur un cycle utilisant l'eau, l

Ravelet, Florent

12

Component of variance estimation based on synthesis  

E-Print Network [OSTI]

Component of Variance Estimation based on. Synthesis. (August lg (2) Jocelyn Anthea Tommerup, B. Sc. , B. Econ. , University of Queenslsnd Directed. by: Dr. H. 0. Hartley Analysis of variance, widely used in the study of statistical variation.... Essentially the problem is to find these coefficients so that, estimstes of the components may be computed. Hartley [1967] hss proposed a method which gives these coef'ficients directly for sry design, balanced of' unbalanced. It is the objective...

Tommerup, Jocelyn Anthea

2012-06-07T23:59:59.000Z

13

Magnetic Field based Heading Estimation for Pedestrian Navigation Environments  

E-Print Network [OSTI]

Magnetic Field based Heading Estimation for Pedestrian Navigation Environments Muhammad Haris Afzal held devices, these other sources are accelerometers for roll and pitch estimates and magnetic field sensors for the heading. In order to utilize the magnetic field sensors for heading estimation

Calgary, University of

14

HSRL mass estimate based on CALIPSO  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

NASA B-200 King Air ARCTAS/ISDAC NASA B-200 King Air ARCTAS/ISDAC Operations and Science Richard Ferrare, Chris Hostetler, John Hair, Anthony Cook, David Harper, Mike Obland, Ray Rogers, Sharon Burton, Matt Shupe, Dave Turner, Connor Flynn B200/HSRL Deployment During ARCTAS (Spring)  Independently measures aerosol/cloud extinction and backscatter profiles at 532 nm  Includes - Backscatter channels at 1064 nm - Polarization sensitivity at 532 and 1064 nm  Profile Measurement capabilities - Extensive measurements * Backscatter at 532 and 1064 nm * Extinction at 532 nm - Intensive measurements * Color ratio (or Angstrom coeff.) for backscatter (β 1064 / β 532 ) * Extinction-to-backscatter ratio at 532 nm * Depolarization at 532 and 1064 nm High Spectral Resolution Lidar (HSRL) *B200 based in Barrow, Alaska

15

Sample Based Unit Liter Dose Estimates  

SciTech Connect (OSTI)

The Tank Waste Characterization Program has taken many core samples, grab samples, and auger samples from the single-shell and double-shell tanks during the past 10 years. Consequently, the amount of sample data available has increased, both in terms of quantity of sample results and the number of tanks characterized. More and better data is available than when the current radiological and toxicological source terms used in the Basis for Interim Operation (BIO) (FDH 1999) and the Final Safety Analysis Report (FSAR) (FDH 1999) were developed. The Nuclear Safety and Licensing (NS&L) organization wants to use the new data to upgrade the radiological and toxicological source terms used in the BIO and FSAR. The NS and L organization requested assistance in developing a statistically based process for developing the source terms. This report describes the statistical techniques used and the assumptions made to support the development of a new radiological source term for liquid and solid wastes stored in single-shell and double-shell tanks.

JENSEN, L.

1999-07-08T23:59:59.000Z

16

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS  

E-Print Network [OSTI]

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS By HUI JIN Bachelor of Science validation of the water-to-air heat pump model. It's hard to find any words to express the thanks to my BASED MODELS OF WATER SLOURCE HEAT PUMPS Thesis Approved: Thesis Adviser Dean of the Graduate College ii

17

CALIBRATING C-IV-BASED BLACK HOLE MASS ESTIMATORS  

SciTech Connect (OSTI)

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.

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

18

Cooperative Vision Based Estimation and Tracking Using Multiple UAVs  

E-Print Network [OSTI]

Cooperative Vision Based Estimation and Tracking Using Multiple UAVs Brett Bethke, Mario Valenti. Unmanned aerial vehicles (UAVs) are excellent platforms for detecting and tracking objects of interest to give better results than could be achieved with a single UAV, while being robust to failures. In addi

How, Jonathan P.

19

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets  

E-Print Network [OSTI]

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets Cari Kaufman, Mark the likelihood can be computationally infeasible for large datasets, requiring O(n3) calculations for a dataset and Marshall, 1984). However, evaluating the likelihood requires order n3 operations for a dataset of size n

20

Who's In The Dark: Satellite Based Estimates Of Electrification Rates  

SciTech Connect (OSTI)

A technique has been developed to estimate the percent population having electric power access based on the presence of satellite detected nighttime lighting. A global survey was conducted for the year 2006 using nighttime lights collected by the U.S. Air Force Defense Meteorological Satellite Program (DMSP) in combination with the U.S. Department of Energy Landscan population dataset. The survey includes results for 229 countries and more than 2000 subnational units. The results are compared to reported electrification rates for 87 countries compiled from a variety of sources by the International Energy Agency. The DMSP derived estimate of number of people worldwide who lack access to electricity is 1.62 billion, only slightly larger than the 1.58 billion estimated by the International Energy Agency.

Elvidge, Christopher D. [NOAA National Geophysical Data Center,; Baugh, Kimberly E. [NOAA National Geophysical Data Center,; Sutton, Paul S. [University of Denver; Bhaduri, Budhendra L [ORNL; Tuttle, Benjamin T. [NOAA National Geophysical Data Center,; Ghosh, Tilottama [University of Denver; Ziskin, Daniel [University of Colorado, Boulder; Erwin, Edward [NOAA National Geophysical Data Center,

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Template Construction using a Patch-based Robust Estimator Pierrick Coup1  

E-Print Network [OSTI]

Template Construction using a Patch-based Robust Estimator Pierrick Coupé1 , Vladimir Fonov1 , José these limitations, we propose to use a robust patch-based estimation which is less sensitive to outliers during denoising within a patch-based estimation scheme [Coupe et al. 2008]. The main idea of patch

Paris-Sud XI, Université de

22

EKF BASED ESTIMATOR FOR FDI IN THE MODEL IV FCCU Yuanjie Huang, Sourabh Dash  

E-Print Network [OSTI]

EKF BASED ESTIMATOR FOR FDI IN THE MODEL IV FCCU Yuanjie Huang, Sourabh Dash G. V. Reklaitis study, a EKF based estimator for the Model IV FCCU is investigated. This model is multivariable variables. Performance of the estimator's application to the AmocoModel IV FCCU case study in terms of early

Venkatasubramanian, Venkat

23

Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation  

Science Journals Connector (OSTI)

An unsupervised stochastic model-based approach to image segmentation is described, and some of its properties investigated. In this approach, the problem of model parameter estimation is formulated as a problem of parameter estimation from incomplete ...

Jun Zhang; J. W. Modestino; D. A. Langan

1994-07-01T23:59:59.000Z

24

Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint  

SciTech Connect (OSTI)

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.

Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.

2013-05-01T23:59:59.000Z

25

Wavelet Based Density Estimators for Modeling Multidimensional Data Sets  

E-Print Network [OSTI]

the distribution of this random variable. We exhibit an estimator for the wavelet coe?cients of this density and ionospheric data. After three levels of o#11;-line pre-processing, observations of temperature, water vapor agreement nr. F30602-99-1-0524, and unrestricted cash/equipment gifts from NCR, IBM, Intel and SUN. #12; 1

Shahabi, Cyrus

26

Bandwidth Estimation for IEEE 802.11-Based Ad Hoc Networks  

E-Print Network [OSTI]

Bandwidth Estimation for IEEE 802.11-Based Ad Hoc Networks Cheikh Sarr, Claude Chaudet, Guillaume for bandwidth-constrained applications. In multihop ad hoc networks, such evaluation becomes even more difficult mechanism to estimate the available bandwidth in IEEE 802.11-based ad hoc networks. Through simulations, we

Paris-Sud XI, Université de

27

HEART MOTION PREDICTION BASED ON ADAPTIVE ESTIMATION ALGORITHMS FOR ROBOTIC-ASSISTED  

E-Print Network [OSTI]

HEART MOTION PREDICTION BASED ON ADAPTIVE ESTIMATION ALGORITHMS FOR ROBOTIC-ASSISTED BEATING HEART of the Graduate School of Engineering and Science ii #12;ABSTRACT HEART MOTION PREDICTION BASED ON ADAPTIVE ESTIMATION ALGORITHMS FOR ROBOTIC-ASSISTED BEATING HEART SURGERY Eser Erdem Tuna M.S. in Electrical

Cavusoglu, Cenk

28

Impact of satellite based PAR on estimates of terrestrial net primary productivity  

E-Print Network [OSTI]

of the satellite- based estimates of PAR for modelling terrestrial primary productivity. 1. Introduction The global energy is referred to as net primary production (NPP). For terrestrial ecosystems GPP and NPP are givenImpact of satellite based PAR on estimates of terrestrial net primary productivity RACHEL T. PINKER

Montana, University of

29

Generalized watermarking attack based on watermark estimation and perceptual remodulation  

E-Print Network [OSTI]

on a stochastic formulation of the watermark removal problem, considering the embedded watermark as additive noise image statistics to perform the best watermark removal or damage. The proposed attack is based and partial removal by a filtering based on a Maximum a Posteriori (MAP) approach; b) watermark alteration

Genève, Université de

30

Linear Tuning and Estimates for the Initial Beam Based Alignment  

E-Print Network [OSTI]

of the magnetic centre of the magnets with respect to the local BPM (i.e. determination of BPM offsets), and 2 is "zeroed" at each down stream BPM. The position of the beam with respect to the magnet centres is then given by the accuracy to which the BPM offset was determined (point 1 above.) After beam-based alignment

31

Parameter Estimation Using Ensemble Based Data Assimilation in the Presence of Model Error  

Science Journals Connector (OSTI)

This work explores the potential of on-line parameter estimation as a technique for model error treatment under an imperfect model scenario, in an ensemble-based data assimilation system, using a simple atmospheric general circulation model and an ...

Juan Ruiz; Manuel Pulido

32

Towards the estimation of feature-based semantic similarity using multiple ontologies  

Science Journals Connector (OSTI)

A key application of ontologies is the estimation of the semantic similarity between terms. By means of this assessment, the comprehension and management of textual resources can be improved. However, most ontology-based similarity measures only support ... Keywords: Feature-based semantic similarity, MeSH, Multiple ontologies, Ontologies, WordNet

Albert Sol-Ribalta; David Snchez; Montserrat Batet; Francesc Serratosa

2014-01-01T23:59:59.000Z

33

Estimating Methods  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

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.

1997-03-28T23:59:59.000Z

34

Harmonics and inter harmonics estimation of DFIG based standalone wind power system by parametric techniques  

Science Journals Connector (OSTI)

Abstract This paper presents application of parametric techniques (Estimation of signal parameter by rotational invariance techniques (ESPRIT), Root multiple signal classification (Root MUSIC)) for the estimation of harmonics/inter harmonics produced by wind generator under constant, variable rotor speed, load imbalance. Accuracy of estimation by parametric techniques is checked on synthetic signal as well as signal extracted from DFIG based standalone system with constant rotor speed and balanced load condition. Further sliding window concept is applied to parametric techniques to estimate the harmonics/inter harmonics under variable rotor speed and load unbalance. Series of simulation results demonstrate the advantages of the sliding window ESPRIT over sliding window Root MUSIC in the estimation of harmonics and inter harmonics under variable rotor speed as well as load unbalance condition.

Sanjay Agrawal; Soumya R. Mohanty; Vineeta Agarwal

2015-01-01T23:59:59.000Z

35

Feature-based investment cost estimation based on modular design of a continuous pharmaceutical manufacturing system  

E-Print Network [OSTI]

Previous studies of continuous manufacturing processes have used equipment-factored cost estimation methods to predict savings in initial plant investment costs. In order to challenge and validate the existing methods of ...

Collins, Donovan (Donovan Scott)

2011-01-01T23:59:59.000Z

36

Ad hoc UEC Conference Call  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

will review draft program by Mon Aug 11 so authors can be notified by Aug 13 * 51 posters submitted before the deadline, 2 late; can accept them all but poster session space...

37

Electromechanical Mode Shape Estimation Based on Transfer Function Identification Using PMU Measurement  

SciTech Connect (OSTI)

Power system mode shapes are key indication of how dynamic components participate in low-frequency oscillations. Traditionally, mode shapes are calculated from a linearized dynamic model. For large-scale power systems, obtaining accu-rate dynamic models is very difficult. Therefore, measurement-based mode shape estimation methods have certain advantages, especially for the application of real-time small signal stability monitoring. In this paper, a measurement-based mode shape iden-tification method is proposed. The general relationship between transfer function (TF) and mode shape is derived. As an example, a least square (LS) method is implemented to estimate mode shape using an autoregressive exogenous (ARX) model. The per-formance of the proposed method is evaluated by Monte-Carlo studies using simulation data from a 17-machine model. The re-sults indicate the validity of the proposed method in estimating mode shapes with reasonably good accuracy

Zhou, Ning; Huang, Zhenyu; Dosiek, Luke; Trudnowski, Daniel J.; Pierre, John W.

2009-07-30T23:59:59.000Z

38

On the Performance of Dimension Estimation-based Spectrum Sensing for Cognitive Radio  

E-Print Network [OSTI]

On the Performance of Dimension Estimation-based Spectrum Sensing for Cognitive Radio Bassem Zayen-day spectrum allocation and spectrum use suggests that radio spectrum shortage could be overcome by allowing immediate local spectrum availability. A new class of radios that is able to reliably sense the spectral

Gesbert, David

39

Dimension Estimation-based Spectrum Sens-ing for Cognitive Radio  

E-Print Network [OSTI]

Dimension Estimation-based Spectrum Sens- ing for Cognitive Radio Bassem Zayen and Aawatif Hayar. Introduction The discrepancy between current-day spectrum allocation and spectrum use sug- gests that radio mean that radios could find and adapt to any immediate local spectrum availability. A new class

Gesbert, David

40

Model Based Torque Control and Estimation for Common Rail Diesel Engine  

Science Journals Connector (OSTI)

A rapid control prototyping based on torque control algorithm using V-cycle mode for common rail diesel engine was developed, and a torque prediction model was present which including a feed-forward mean value engine model and a feedback correction of ... Keywords: common rail diesel engine, control strategies, torque control, torque estimation

Wang Hongrong; Wang Yongfu; Liu Zhi

2010-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

MRI based diffusion and perfusion predictive model to estimate stroke Stephen E. Rosea,  

E-Print Network [OSTI]

MRI based diffusion and perfusion predictive model to estimate stroke evolution Stephen E. Rosea and perfusion images acquired in the acute stage of stroke. The validity of this methodology was tested on novel patient data including data acquired from an independent stroke clinic. Regions-of-interest (ROIs

McLachlan, Geoff

42

An hybrid ensemble based approach for process parameter estimation in offshore oil platforms  

E-Print Network [OSTI]

An hybrid ensemble based approach for process parameter estimation in offshore oil platforms Piero in offshore oil platforms. In particular, the difference between the theoretical value of the valve flow on real measurements performed on a number of similar offshore choke valves. 1. Introduction In this paper

Paris-Sud XI, Université de

43

CONTEXT-BASED ENERGY ESTIMATOR: APPLICATION TO OBJECT SEGMENTATION ON THE TREE OF SHAPES  

E-Print Network [OSTI]

CONTEXT-BASED ENERGY ESTIMATOR: APPLICATION TO OBJECT SEGMENTATION ON THE TREE OF SHAPES Yongchao. A classical approach is to define an energy minimization framework, where interesting contours correspond to local minima of this energy. Active contours, graph cuts or minimum ratio cuts are instances of such ap

Paris-Sud XI, Université de

44

Estimation of A Sensitivity-Based Metric for Detecting Market Power  

E-Print Network [OSTI]

to measure market power ([1], [3]). The This project was support in part by the US Department of Energy1 Estimation of A Sensitivity-Based Metric for Detecting Market Power HyungSeon Oh and Robert J. Thomas, Fellow, IEEE Abstract ­ The abuse of market power is a potentially serious problem for market

45

Projection-based, frequency-domain estimation of superimposed translational motions  

E-Print Network [OSTI]

. The proposed algorithm relies on properties of the projection (Radon) transform to reduce the problem fromProjection-based, frequency-domain estimation of superimposed translational motions Peyman Milanfar SRI International, 333 Ravenswood Avenue, Mail Stop 404-69, Menlo Park, California 94025 Received June

Milanfar, Peyman

46

Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process  

E-Print Network [OSTI]

Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process Abstract: The study investigates water quality pollution impacts on urbanization by analyzing temporal, more populations were moved from rural area into urban area, and more costs were input in water quality

Yu, Qian

47

Local Frequency Based Estimators for Anomaly Detection in Oil and Gas Applications  

E-Print Network [OSTI]

Local Frequency Based Estimators for Anomaly Detection in Oil and Gas Applications Alexander Singh industrial applications such as the smart grid and oil and gas are continuously monitored. The massive to positively impact the bottom line. In the oil and gas industry, modern oil rigs are outfitted with thousands

Slatton, Clint

48

Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals  

E-Print Network [OSTI]

Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals by comparing the actual patient's ECG with computational results and the deformation of the biomechani- cal-to-access measurements on a patient: the ECG (Electrocardiogram), and a time sequence of volumetric ultrasound images

Coudière, Yves

49

E-Print Network 3.0 - area estimators based Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Primer on small area estimation - direct and indirect estimation - synthetic... and composite estimation - borrowing strength and shrinkage - ... Source: Colorado State...

50

Blade root attachment evaluation low-cycle fatigue estimates based on probabilistic approach  

SciTech Connect (OSTI)

When utilities purchase replacement blades from a manufacturer, the machining tolerances in the root attachment and the material fatigue properties are a major quality concern. These factors can have significant impact on the low-cycle fatigue life. For any replacement blades, the primary concern is to minimize the risk of an in-service failure. However, excessively conservative acceptance criteria would unnecessarily drive up the unit price for the replacement blades. Acceptance criteria with estimates of associated risks of in-service failure are therefore needed for each specific blade design based on the expected operating environment, material, and service life. In the work presented herein, a probabilistic model to estimate LCF in the blade root attachment is presented. The approach is demonstrated using stresses and material fatigue properties for a representative LP last stage blade of a steam turbine. The LCF life estimates obtained using the proposed approach show good correlation with field experience.

Sarlashkar, A.V.; Lam, T.C.T. [Stress Technology Inc., Rochester, NY (United States); McCloskey, T.H. [Electric Power Research Inst., Palo Alto, CA (United States)

1996-12-31T23:59:59.000Z

51

An Earned Schedule-based regression model to improve cost estimate at completion  

Science Journals Connector (OSTI)

Abstract Traditional Earned Value Management (EVM) index-based methods for Cost Estimate at Completion (CEAC) of an ongoing project have been known for their limitations inherent with both the assumption that past EVM data is the best available information and early-stage unreliability. In an attempt to overcome such limitations, a new CEAC methodology is proposed based on a modified index-based formula predicting expected cost for the remaining work with the Gompertz growth model via nonlinear regression curve fitting. Moreover, the proposed equation accounts for the schedule progress as a factor of cost performance. To this end, it integrates into its equation an Earned Schedule-based factor indicating expected duration at completion. The proposed model shows itself to be more accurate and precise in all early, middle, and late stage estimates than those of four compared traditional index-based formulae. The developed methodology is a practical tool for Project Managers to better incorporate the progress status into the task of computing CEAC and is a contribution to extending EVM research to better capture the inherent relation between cost and schedule factors.

Timur Narbaev; Alberto De Marco

2014-01-01T23:59:59.000Z

52

Bearing fault severity estimation using time-based descriptors for rotating electric machines  

Science Journals Connector (OSTI)

This paper evaluates the bearing fault severity in rotating electric machines based on the time-based descriptors derived from machine vibration signal. Time-based descriptors are independent of bearing dimensions and machine dynamics. To establish the relationship between the time-based descriptor and bearing fault severity, a wide range of defective bearings are examined on an experimental set-up and the factors contributing to the value of time-based descriptor are determined. The application of this technique to the bearing faults such as rolling element, inner-race and outer-race fault, has confirmed that time-based descriptor successfully measures the severity of faults. The significance of time-based descriptors has been evaluated and tested by developing online bearing failure situation via shaft current. Since the time-based descriptors are independent of dimensions and characteristic frequencies of the bearing, the severity estimation is less sensitive to operating conditions for data acquisition. The laboratory investigations on 10-hp cage induction motor are presented.

Rajesh Patel; S.P. Gupta; Vinod Kumar

2014-01-01T23:59:59.000Z

53

Evaluation of Clear Sky Models for Satellite-Based Irradiance Estimates  

SciTech Connect (OSTI)

This report describes an intercomparison of three popular broadband clear sky solar irradiance model results with measured data, as well as satellite-based model clear sky results compared to measured clear sky data. The authors conclude that one of the popular clear sky models (the Bird clear sky model developed by Richard Bird and Roland Hulstrom) could serve as a more accurate replacement for current satellite-model clear sky estimations. Additionally, the analysis of the model results with respect to model input parameters indicates that rather than climatological, annual, or monthly mean input data, higher-time-resolution input parameters improve the general clear sky model performance.

Sengupta, M.; Gotseff, P.

2013-12-01T23:59:59.000Z

54

Comparison of Historical Satellite-Based Estimates of Solar Radiation Resources with Recent Rotating Shadowband Radiometer Measurements: Preprint  

SciTech Connect (OSTI)

The availability of rotating shadow band radiometer measurement data at several new stations provides an opportunity to compare historical satellite-based estimates of solar resources with measurements. We compare mean monthly daily total (MMDT) solar radiation data from eight years of NSRDB and 22 years of NASA hourly global horizontal and direct beam solar estimates with measured data from three stations, collected after the end of the available resource estimates.

Myers, D. R.

2009-03-01T23:59:59.000Z

55

Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities  

Science Journals Connector (OSTI)

This paper investigates a possibility for estimating rotor angles in the time frame of transient (angle) stability of electric power systems, for use in real-time. The proposed dynamic state estimation technique is based on the use of voltage and current ... Keywords: Electric power systems, Multilayer perceptrons, Phasor measurement units, Transient stability monitoring and control

Alberto Del Angel; Pierre Geurts; Damien Ernst; Mevludin Glavic; Louis Wehenkel

2007-10-01T23:59:59.000Z

56

654 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 18, NO. 3, MAY 2010 Model-Based Electrochemical Estimation and  

E-Print Network [OSTI]

in the literature. Accurate estimation of the battery's internal electrochemical state enables an expanded range governor, state-of-charge (SOC) estimation. I. INTRODUCTION MODEL-BASED battery monitoring algorithms theories, captures relevant solid-state and electrolyte diffusion dynamics and accurately predicts current

57

Estimation of expected human attention weights based on a decision field theory model  

Science Journals Connector (OSTI)

Abstract Modeling human decision making behavior is of great interest in understanding how a decision maker weights different decision attributes when making a decision. Such knowledge is critically important in helping predict future decisions, evaluating human decision performance, and improving the design of human and machine interface systems. Decision field theory (DFT) provides a psychological representation of the cognitive deliberation process, which is driven by the fluctuations of a persons attention among decision attributes. In this research area, the most common use of a DFT model is to estimate or predict the human decisions by using a set of pre-specified expected attention weights (EAWs) in the DFT model. Unlike other research, this paper extends the capabilities of DFT in a complementary direction, showing how to fit or train a DFT model by estimating the EAW based on sequentially obtained samples of decision trials. Furthermore, the inherent connection between the EAW and the decision choice uncertainty is investigated. The proposed modeling method is discussed in detail for a two-alternative decision scenario based on two attributes. Both simulations and a case study are conducted in the paper to demonstrate the effectiveness of the proposed modeling approach.

Andres G. Abad; Jionghua (Judy) Jin; Young-Jun Son

2014-01-01T23:59:59.000Z

58

Joint inversion of seismic AVO and EM data for gas saturation estimation using a sampling-based stochastic model  

E-Print Network [OSTI]

hypothesis using a sampling-based stochastic model, based on a typical situation of gas explorationJoint inversion of seismic AVO and EM data for gas saturation estimation using a sampling- based stochastic model Jinsong Chen*, G. Michael Hoversten, and D. W. Vasco, Lawrence Berkeley National Laboratory

Chen, Jinsong

59

Estimation of Ground-Level Reflectivity Factor in Operational Weather Radar Networks Using VPR-Based Correction Ensembles  

Science Journals Connector (OSTI)

An operational method is presented that corrects the bias of radar-based quantitative precipitation estimations (QPE) in radar networks that is due to the vertical profile of reflectivity (VPR) factor. It is used in both rain and snowfall. ...

Jarmo Koistinen; Heikki Pohjola

2014-10-01T23:59:59.000Z

60

Validation of error estimators and superconvergence by a computer-based approach  

E-Print Network [OSTI]

ESTIMATORS FOR PATCHWISE UNIFORM MESHES 5. 1 The methodology for checking the estimators. 5. 2 Numerical study of the estimators. . . . . 5. 3 Major results. 58 . . 58 65 160 CHAPTER VI STUDY OF THE ERROR ESTIMATORS FOR GENERAL MESHES . . 6. 1... Definition of the robustness index 6. 2 The computational methodology for general grids . . 6. 3 Numerical studies of robustness of various error estimators . . 6. 4 Major results. vn Page 164 164 166 167 , 198 CHAPTER VII STUDY OF SUPERCONVERGENCE...

Upadhyay, Chandra Shekhar

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Distributed Linear Combination Estimators for Localization Based on Received Signal Strength  

E-Print Network [OSTI]

.8 Estimation under Unknown Propagation Model Parameters . . . . . . 55 2.8.1 Estimation of p0(d0) and np . . . . . . . . . . . . . . . . . . . 55 2.8.2 Estimation of p0(d0), np, and ? . . . . . . . . . . . . . . . . . 58 2.8.3 Location Estimation using... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 vii LIST OF FIGURES FIGURE Page 2.1 Range dependence of RMSE of various estimators with np = 3 and ? = 5...

Chen, Wei-Yu

2013-12-05T23:59:59.000Z

62

Photometric redshift estimation based on data mining with PhotoRApToR  

E-Print Network [OSTI]

Photometric redshifts (photo-z) are crucial to the scienti?c exploitation of modern panchromatic digital surveys. In this paper we present PhotoRApToR (Photometric Research Application To Redshift): a Java/C++ based desktop application capable to solve non-linear regression and multi-variate classi?cation problems, in particular specialized for photo-z estimation. It embeds a machine learning algorithm, namely a multilayer neural network trained by the Quasi Newton learning rule, and special tools dedicated to pre- and postprocessing data. PhotoRApToR has been successfully tested on several scienti?c cases. The application is available for free download from the DAME Program web site.

Cavuoti, Stefano; De Stefano, Virgilio; Longo, Giuseppe

2015-01-01T23:59:59.000Z

63

A model-based technique for real-time estimation of absolute fluorine concentration in a CF4/Ar plasma  

E-Print Network [OSTI]

A model-based technique for real-time estimation of absolute fluorine concentration in a CF4/Ar for quantitative interpretation of actinometric data to deduce bulk plasma fluorine concentration in a CF4/Ar, for application of real-time feedback control to plasma etching. Based upon a model of CF4 chemistry reaction

Terry, Fred L.

64

Parameter estimation of coupled water and energy balance models based on stationary constraints of surface states  

E-Print Network [OSTI]

[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...

Sun, Jian

65

Context-Sensitive Measurement-Based Worst-Case Execution Time Estimation Michael Zolda, Sven Bunte  

E-Print Network [OSTI]

analysis (MBTA) [1], we estimate the WCET of a given piece of software by executing it with selected input

66

Design Through Operation of an Image-Based Velocity Estimation System for Mars Landing  

Science Journals Connector (OSTI)

During the Mars Exploration Rover (MER) landings, the Descent Image Motion Estimation System (DIMES) was used for horizontal velocity estimation. The DIMES algorithm combined measurements from a descent camera, a radar altimeter, and an inertial measurement ... Keywords: DIMES, Mars Exploration Rover, Mars lander, computer vision, feature tracking, robotics, velocity estimation

Andrew Johnson; Reg Willson; Yang Cheng; Jay Goguen; Chris Leger; Miguel Sanmartin; Larry Matthies

2007-09-01T23:59:59.000Z

67

Development of the town data base: Estimates of exposure rates and times of fallout arrival near the Nevada Test Site  

SciTech Connect (OSTI)

As part of the U.S. Department of Energy`s Off-Site Radiation Exposure Review Project, the time of fallout arrival and the H+12 exposure rate were estimated for populated locations in Arizona, California, Nevada, and Utah that were affected by fallout from one or more nuclear tests at the Nevada Test Site. Estimates of exposure rate were derived from measured values recorded before and after each test by fallout monitors in the field. The estimate for a given location was obtained by retrieving from a data base all measurements made in the vicinity, decay-correcting them to H+12, and calculating an average. Estimates were also derived from maps produced after most events that show isopleths of exposure rate and time of fallout arrival. Both sets of isopleths on these maps were digitized, and kriging was used to interpolate values at the nodes of a 10-km grid covering the pattern. The values at any location within the grid were then estimated from the values at the surrounding grid nodes. Estimates of dispersion (standard deviation) were also calculated. The Town Data Base contains the estimates for all combinations of location and nuclear event for which the estimated mean H+12 exposure rate was greater than three times background. A listing of the data base is included as an appendix. The information was used by other project task groups to estimate the radiation dose that off-site populations and individuals may have received as a result of exposure to fallout from Nevada nuclear tests.

Thompson, C.B.; McArthur, R.D. [Univ. and Community College System of Nevada, Las Vegas, NV (United States); Hutchinson, S.W. [Mead Johnson Nutritional Group, Evansville, IN (United States)

1994-09-01T23:59:59.000Z

68

Fast communication: Inverse filtering based method for estimation of noisy autoregressive signals  

Science Journals Connector (OSTI)

In this paper we present a new method for estimating the parameters of an autoregressive (AR) signal from observations corrupted with white noise. The least-squares (LS) estimate of the AR parameters is biased when the observation noise is added to the ... Keywords: Autoregressive signals, Least-squares method, Yule-Walker equations

Alimorad Mahmoudi; Mahmood Karimi

2011-07-01T23:59:59.000Z

69

FPGA based neural network position and speed estimator for switched reluctance motor drive  

Science Journals Connector (OSTI)

This paper presents the design and implementation of the sensorless control system for the Switched Reluctance Motor (SRM) drive without a position sensor. The SRM has been receiving attention for industry applications due to its low cost in mass production, ... Keywords: position estimation, resistance estimation, switched reluctance motor

Jakub Talla; Josef Stehlik

2008-12-01T23:59:59.000Z

70

PHYSICALLY-BASED DEFORMABLE IMAGE REGISTRATION WITH MATERIAL PROPERTY AND BOUNDARY CONDITION ESTIMATION  

E-Print Network [OSTI]

of image- guided radiotherapy. In order to estimate the radiation dose accumulated in different parts ESTIMATION Huai-Ping Lee1 , Mark Foskey1,2 , Marc Niethammer1 , and Ming Lin1 1 Department of Computer Science, 2 Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC, USA ABSTRACT

North Carolina at Chapel Hill, University of

71

On-board Velocity Estimation and Closed-loop Control of a Quadrotor UAV based on Optical Flow  

E-Print Network [OSTI]

On-board Velocity Estimation and Closed-loop Control of a Quadrotor UAV based on Optical Flow an efficient fall back routine for any kind of UAV (Unmanned Aerial Vehicles) since we rely solely. The results show that our approach is able to recover the ego-motion of a flying UAV in realistic conditions

72

A Comparison of Scale Estimation Schemes for a Quadrotor UAV based on Optical Flow and IMU Measurements  

E-Print Network [OSTI]

A Comparison of Scale Estimation Schemes for a Quadrotor UAV based on Optical Flow and IMU of autonomous UAV flight control, cameras are ubiquitously exploited as a cheap and effective onboard sensor linear velocity in the UAV body frame from direct measurement of the instantaneous (and non

Paris-Sud XI, Université de

73

Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical model  

E-Print Network [OSTI]

Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical state of charge (SOC). In this paper an averaged electrochemical Lithium-ion battery model suitable-Volmer current and the solid concentration at the interface with the electrolyte and (ii) the battery current

Stefanopoulou, Anna

74

3D Model Based Pose Estimation For Omnidirectional Stereovision Guillaume Caron, Eric Marchand and El Mustapha Mouaddib  

E-Print Network [OSTI]

3D Model Based Pose Estimation For Omnidirectional Stereovision Guillaume Caron, Eric Marchand, FRANCE; e-mail {guillaume.caron, mouaddib}@u-picardie.fr Eric Marchand is with INRIA, IRISA, Lagadic, 35000 Rennes, France; e-mail {Eric.Marchand}@irisa.fr Fig. 1. Our sensor: orthographic camera, parabolic

Paris-Sud XI, Université de

75

Estimating future global per capita water availability based on changes in climate and population  

SciTech Connect (OSTI)

Human populations are profoundly affected by water stress, or the lack of sufficient per capita available freshwater. Water stress can result from overuse of available freshwater resources or from a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by the uncertainties associated with climate change projections and population projections. We present a simple methodology developed to integrate disparate climate and population data sources and develop first-order per capita water availability projections at the global scale. Simulations from the coupled land-ocean-atmosphere Community Climate System Model version 3 (CCSM3) forced with a range of hypothetical greenhouse gas emissions scenarios are used to project grid-based changes in precipitation minus evapotranspiration as proxies for changes in runoff, or fresh water supply. Population growth changes according to several Intergovernmental Panel on Climate Change (IPCC) storylines are used as proxies for changes in fresh water demand by 2025, 2050 and 2100. These freshwater supply and demand projections are then combined to yield estimates of per capita water availability aggregated by watershed and political unit. Results suggest that important insights might be extracted from the use of the process developed here, notably including the identification of the globe s most vulnerable regions in need of more detailed analysis and the relative importance of population growth versus climate change in in altering future freshwater supplies. However, these are only exemplary insights and, as such, could be considered hypotheses that should be rigorously tested with multiple climate models, multiple observational climate datasets, and more comprehensive population change storylines.

Parish, Esther S [ORNL; Kodra, Evan [Northeastern University; Ganguly, Auroop R [Northeastern University; Steinhaeuser, Karsten [University of Minnesota

2012-01-01T23:59:59.000Z

76

Computational aspects of robust Holt-Winters smoothing based on M-estimation  

Science Journals Connector (OSTI)

To obtain a robust version of exponential and Holt-Winters smoothing the idea of M...-estimation can be used. The difficulty is the formulation of an easy-to-use recursive formula for its computation. A first att...

Christophe Croux; Sarah Gelper; Roland Fried

2008-06-01T23:59:59.000Z

77

A BIOMASS-BASED MODEL TO ESTIMATE THE PLAUSIBILITY OF EXOPLANET BIOSIGNATURE GASES  

E-Print Network [OSTI]

Biosignature gas detection is one of the ultimate future goals for exoplanet atmosphere studies. We have created a framework for linking biosignature gas detectability to biomass estimates, including atmospheric photochemistry ...

Seager, Sara

78

Errors in Estimating River Discharge from Remote Sensing based on Manning's Equation  

E-Print Network [OSTI]

° inclination; all rivers, lakes, reservoirs observed at least twice every 22 days. Will measure reach (2008) estimated errors in width resulting from water coherence time effects (due to wind and turbulence

Washington at Seattle, University of

79

Magnetic Resonance Imaging-Based Radiation-Absorbed Dose Estimation of 166Ho Microspheres in Liver Radioembolization  

Science Journals Connector (OSTI)

Purpose To investigate the potential of magnetic resonance imaging (MRI) for accurate assessment of the three-dimensional 166Ho activity distribution to estimate radiation-absorbed dose distributions in 166Ho-loaded poly (L-lactic acid) microsphere (166Ho-PLLA-MS) liver radioembolization. Methods and Materials MRI, computed tomography (CT), and single photon emission CT (SPECT) experiments were conducted on an anthropomorphic gel phantom with tumor-simulating gel samples and on an excised human tumor-bearing liver, both containing known amounts of 166Ho-PLLA-MS. Three-dimensional radiation-absorbed dose distributions were estimated at the voxel level by convolving the 166Ho activity distribution, derived from quantitative MRI data, with a 166Ho dose point-kernel generated by MCNP (Monte Carlo N-Particle transport code) and from Medical Internal Radiation Dose Pamphlet 17. MRI-based radiation-absorbed dose distributions were qualitatively compared with CT and autoradiography images and quantitatively compared with SPECT-based dose distributions. Both MRI- and SPECT-based activity estimations were validated against dose calibrator measurements. Results Evaluation on an anthropomorphic phantom showed that MRI enables accurate assessment of local 166Ho-PLLA-MS mass and activity distributions, as supported by a regression coefficient of 1.05 and a correlation coefficient of 0.99, relating local MRI-based mass and activity calculations to reference values obtained with a dose calibrator. Estimated MRI-based radiation-absorbed dose distributions of 166Ho-PLLA-MS in an exvivo human liver visually showed high correspondence to SPECT-based radiation-absorbed dose distributions. Quantitative analysis revealed that the differences in local and total amounts of 166Ho-PLLA-MS estimated by MRI, SPECT, and the dose calibrator were within 10%. Excellent agreement was observed between MRI- and SPECT-based dosevolume histograms. Conclusions Quantitative MRI was demonstrated to provide accurate three-dimensional 166Ho-PLLA-MS activity distributions, enabling localized intrahepatic radiation-absorbed dose estimation by convolution with a 166Ho dose point-kernel for liver radioembolization treatment optimization and evaluation.

Peter R. Seevinck; Gerrit H. van de Maat; Tim C. de Wit; Maarten A.D. Vente; Johannes F.W. Nijsen; Chris J.G. Bakker

2012-01-01T23:59:59.000Z

80

Revised estimates of Greenland ice sheet thinning histories based on ice-core records  

Science Journals Connector (OSTI)

Ice core records were recently used to infer elevation changes of the Greenland ice sheet throughout the Holocene. The inferred elevation changes show a significantly greater elevation reduction than those output from numerical models, bringing into question the accuracy of the model-based reconstructions and, to some extent, the estimated elevation histories. A key component of the ice core analysis involved removing the influence of vertical surface motion on the ?18O signal measured from the Agassiz and Renland ice caps. We re-visit the original analysis with the intent to determine if the use of more accurate land uplift curves can account for some of the above noted discrepancy. To improve on the original analysis, we apply a geophysical model of glacial isostatic adjustment calibrated to sea-level records from the Queen Elizabeth Islands and Greenland to calculate the influence of land height changes on the ?18O signal from the two ice cores. This procedure is complicated by the fact that ?18O contained in Agassiz ice is influenced by land height changes distant from the ice cap and so selecting a single location at which to compute the land height signal is not possible. Uncertainty in this selection is further complicated by the possible influence of Innuitian ice during the early Holocene (128kaBP). Our results indicate that a more accurate treatment of the uplift correction leads to elevation histories that are, in general, shifted down relative to the original curves at GRIP, NGRIP, DYE-3 and Camp Century. In addition, compared to the original analysis, the 1-? uncertainty is considerably larger at GRIP and NGRIP. These changes reduce the data-model discrepancy reported by Vinther etal. (2009) at GRIP, NGRIP, DYE-3 and Camp Century. A more accurate treatment of isostasy and surface loading also acts to improve the data-model fits such that the residuals at all four sites for the period 8kaBP to present are significantly reduced compared to the original analysis. Prior to 8kaBP, the possible influence of Innuitian ice on the inferred elevation histories prevents a meaningful comparison.

Benoit S. Lecavalier; Glenn A. Milne; Bo M. Vinther; David A. Fisher; Arthur S. Dyke; Matthew J.R. Simpson

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Unfolding-based corrector estimates for a reaction-diffusion system predicting concrete corrosion  

E-Print Network [OSTI]

We use the periodic unfolding technique to derive corrector estimates for a reaction-diffusion system describing concrete corrosion penetration in the sewer pipes. The system, defined in a periodically-perforated domain, is semi-linear, partially dissipative, and coupled via a non-linear ordinary differential equation posed on the solid-water interface at the pore level. After discussing the solvability of the pore scale model, we apply the periodic unfolding techniques (adapted to treat the presence of perforations) not only to get upscaled model equations, but also to prepare a proper framework for getting a convergence rate (corrector estimates) of the averaging procedure.

Fatima, Tasnim; Ptashnyk, Mariya

2011-01-01T23:59:59.000Z

82

Methods for estimating temperature sensitivity of soil organic matter based on incubation data: A comparative evaluation  

Science Journals Connector (OSTI)

Abstract Although the temperature sensitivity (Q10) of soil organic matter (SOM) decomposition has been widely studied, the estimate substantially depends on the methods used with specific assumptions. Here we compared several commonly used methods (i.e., one-pool (1P) model, two-discrete-pool (2P) model, three-discrete-pool (3P) model, and time-for-substrate (T4S) Q10 method) plus a new and more process-oriented approach for estimating Q10 of SOM decomposition from laboratory incubation data to evaluate the influences of the different methods and assumptions on Q10 estimation. The process-oriented approach is a three-transfer-pool (3PX) model that resembles the decomposition sub-model commonly used in Earth system models. The temperature sensitivity and other parameters in the models were estimated from the cumulative CO2 emission using the Bayesian Markov Chain Monte Carlo (MCMC) technique. The estimated \\{Q10s\\} generally increased with the soil recalcitrance, but decreased with the incubation temperature increase. Our results indicated that the 1P model did not adequately simulate the dynamics of SOM decomposition and thus was not adequate for the Q10 estimation. All the multi-pool models fitted the soil incubation data well. The Akaike information criterion (AIC) analysis suggested that the 2P model is the most parsimonious. As the incubation progressed, Q10 estimated by the 3PX model was smaller than those by the 2P and 3P models because the continuous C transfers from the slow and passive pools to the active pool were included in the 3PX model. Although the T4S method could estimate the Q10 of labile carbon appropriately, our analyses showed that it overestimated that of recalcitrant SOM. The similar structure of 3PX model with the decomposition sub-model of Earth system models provides a possible approach, via the data assimilation techniques, to incorporate results from numerous incubation experiments into Earth system models.

Junyi Liang; Dejun Li; Zheng Shi; James M. Tiedje; Jizhong Zhou; Edward A.G. Schuur; Konstantinos T. Konstantinidis; Yiqi Luo

2015-01-01T23:59:59.000Z

83

ESTIMATING PHOTOMETRIC REDSHIFTS OF QUASARS VIA THE k-NEAREST NEIGHBOR APPROACH BASED ON LARGE SURVEY DATABASES  

SciTech Connect (OSTI)

We apply one of the lazy learning methods, the k-nearest neighbor (kNN) algorithm, to estimate the photometric redshifts of quasars based on various data sets from the Sloan Digital Sky Survey (SDSS), the UKIRT Infrared Deep Sky Survey (UKIDSS), and the Wide-field Infrared Survey Explorer (WISE; the SDSS sample, the SDSS-UKIDSS sample, the SDSS-WISE sample, and the SDSS-UKIDSS-WISE sample). The influence of the k value and different input patterns on the performance of kNN is discussed. kNN performs best when k is different with a special input pattern for a special data set. The best result belongs to the SDSS-UKIDSS-WISE sample. The experimental results generally show that the more information from more bands, the better performance of photometric redshift estimation with kNN. The results also demonstrate that kNN using multiband data can effectively solve the catastrophic failure of photometric redshift estimation, which is met by many machine learning methods. Compared with the performance of various other methods of estimating the photometric redshifts of quasars, kNN based on KD-Tree shows superiority, exhibiting the best accuracy.

Zhang Yanxia; Ma He; Peng Nanbo; Zhao Yongheng [Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 100012 Beijing (China); Wu Xuebing, E-mail: zyx@bao.ac.cn [Department of Astronomy, Peking University, 100871 Beijing (China)

2013-08-01T23:59:59.000Z

84

Unbiased MMSE-Based Noise Power Estimation with Low Complexity and Low Tracking Delay  

E-Print Network [OSTI]

of the speech power and the estimation of the clean speech. We show that the proposed SPP approach maintains Agreement PIAP-GA-2008-214699 AUDIS and the Dutch Technology Foundation STW. T. Gerkmann heads the Speech Signal Processing Group, Universit¨at Olden- burg, 26111 Oldenburg, Germany, email: timo

85

MODEL-BASED VEHICLE STATE ESTIMATION USING PREVIEWED ROAD GEOMETRY AND NOISY SENSORS  

E-Print Network [OSTI]

to the automotive world. Unfortunately for the designers of vehicle driver assist systems, however, most low- cost states from low-cost sensors remains [2]. In the case of autonomous vehicle guidance or in modeling another sen- sor input to estimate vehicle state. This is a particularly low-cost data source, especially

Brennan, Sean

86

Arterial Travel Time Estimation Based On Vehicle Re-Identification Using Magnetic Sensors: Performance Analysis  

E-Print Network [OSTI]

: the arterial travel time estimation system is summarized in Section II. The test site and vehicle detection are explained in Section IV. An analysis of the ground truth and the vehicle detection system data is presented City (Figure 1). The performance of the original system and the system with the modified vehicle re

Horowitz, Roberto

87

Estimating cancer risk from dental cone-beam CT exposures based on skin dosimetry  

Science Journals Connector (OSTI)

The aim of this study was to measure entrance skin doses on patients undergoing cone-beam computed tomography (CBCT) examinations, to establish conversion factors between skin and organ doses, and to estimate cancer risk from CBCT exposures. 266 patients (age 883) were included, involving three imaging centres. CBCT scans were acquired using the SCANORA 3D (Soredex, Tuusula, Finland) and NewTom 9000 (QR, Verona, Italy). Eight thermoluminescent dosimeters were attached to the patient's skin at standardized locations. Using previously published organ dose estimations on various CBCTs with an anthropomorphic phantom, correlation factors to convert skin dose to organ doses were calculated and applied to estimate patient organ doses. The BEIR VII age- and gender-dependent dose-risk model was applied to estimate the lifetime attributable cancer risk. For the SCANORA 3D, average skin doses over the eight locations varied between 484 and 1788Gy. For the NewTom 9000 the range was between 821 and 1686Gy for Centre 1 and between 292 and 2325Gy for Centre 2. Entrance skin dose measurements demonstrated the combined effect of exposure and patient factors on the dose. The lifetime attributable cancer risk, expressed as the probability to develop a radiation-induced cancer, varied between 2.7 per million (age >60) and 9.8per million (age 811) with an average of 6.0 per million. On average, the risk for female patients was 40% higher. The estimated radiation risk was primarily influenced by the age at exposure and the gender, pointing out the continuing need for justification and optimization of CBCT exposures, with a specific focus on children.

Ruben Pauwels; Lesley Cockmartin; Deimante Ivanauskait; Ausra Urbonien?; Sophia Gavala; Catherine Donta; Kostas Tsiklakis; Reinhilde Jacobs; Hilde Bosmans; Ria Bogaerts; Keith Horner; The SEDENTEXCT Project Consortium

2014-01-01T23:59:59.000Z

88

E-Print Network 3.0 - affecting pcr-based estimates Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

from the January 2007 issue of Summary: - time PCR is now possible (1,10,13). A survey by Pappu et al. (13), using a PCR-based detection assay... were tested with the PCR-based...

89

A Simple Biomass-Based Length-Cohort Analysis for Estimating Biomass and Fishing Mortality  

E-Print Network [OSTI]

, Washington 98115, USA Abstract.--A biomass-based length-cohort analysis (LCA) was examined for its compared two LCA methods--(1) a numbers-based LCA that relies on catch numbers at length as input data and (2) a new biomass-based LCA that relies on catch biomass at length--by applying both to simulated

90

Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using LALInference  

E-Print Network [OSTI]

The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary coalescence (CBC) signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We are able to show using three independent sampling algorithms that our implementation consistently converges on the same results, giving confidence in the parameter estimates thus obtained. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star-black hole binary and a bin...

Veitch, John; Farr, Benjamin; Farr, Will M; Graff, Philip; Vitale, Salvatore; Aylott, Ben; Blackburn, Kent; Christensen, Nelson; Coughlin, Michael; Del Pozzo, Walter; Feroz, Farhan; Gair, Jonathan; Haster, Carl-Johan; Kalogera, Vicky; Littenberg, Tyson; Mandel, Ilya; O'Shaughnessy, Richard; Pitkin, Matthew; Rodriguez, Carl; Rver, Christian; Sidery, Trevor; Smith, Rory; Van Der Sluys, Marc; Vecchio, Alberto; Vousden, Will; Wade, Leslie

2014-01-01T23:59:59.000Z

91

Feedback-based Information Roadmap (FIRM): Graph-based Estimation and Control of Robotic Systems Under Uncertainty  

E-Print Network [OSTI]

for these problems is the exponential growth of the search tree in the information space, as well as the dependency of the entire search tree on the initial belief. Inspired by sampling-based (roadmap-based) methods, this dissertation proposes a method to construct...

Aghamohammadi, Aliakbar

2014-05-07T23:59:59.000Z

92

Microsoft Word - UEC_Minutes_20130614.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

June 14, 2013 June 14, 2013 Attending: Mary Anne Cummings, Craig Group, Sergo Jindariani, Breese Quinn, Greg Pawloski, Lee Roberts, Mandy Rominsky, Gregory Snow, Nikos Varelas, Bob Zwaska (Not Present: Daniel Kaplan, Ryan Patterson) FSPA: Leo Aliaga Guests: Carole McGuire (remote), Young-Kee Kim, Vladimir Shiltsev Presentations https://indico.fnal.gov/conferenceDisplay.py?confId=6993 Discussion of Users Meeting The Users Meeting was deemed a success and all presentations were well received. The banquet was very good and the public lecture engaging. The Fermilab Children's Center was contacted after some questions about childcare came up at the meeting. The Children's Center is willing to take children on a day-by-day basis for attendees. Also, the hours could be extended to cover the meeting times with

93

2013 UEC Tokyo. Visual Event Mining  

E-Print Network [OSTI]

Rangers Rangers Ballpark West, WWDC, Apple WWDC WWDC Golden, Gate, Bridge Golden Golden Gate Bridge Square

Yanai, Keiji

94

Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities  

Science Journals Connector (OSTI)

This paper investigates a possibility for estimating rotor angles in the time frame of transient (angle) stability of electric power systems, for use in real-time. The proposed dynamic state estimation technique is based on the use of voltage and current phasors obtained from a phasor measurement unit supposed to be installed on the extra-high voltage side of the substation of a power plant, together with a multilayer perceptron trained off-line from simulations. We demonstrate that an intuitive approach to directly map phasor measurement inputs to the neural network to generator rotor angle does not offer satisfactory results. We found out that a good way to approach the angle estimation problem is to use two neural networks in order to estimate the sin ( ? ) and cos ( ? ) of the angle and recover the latter from these values by simple post-processing. Simulation results on a part of the Mexican interconnected system show that the approach could yield satisfactory accuracy for real-time monitoring and control of transient instability.

Alberto Del Angel; Pierre Geurts; Damien Ernst; Mevludin Glavic; Louis Wehenkel

2007-01-01T23:59:59.000Z

95

Estimation of vocal?tract area function from lip impulse response based on lossy vocal?tract digital filter model  

Science Journals Connector (OSTI)

A method for estimating vocal?tract area function from lip impulse response based on lossy vocal?tract digital filter model is provided. Previous methods of lip impulse response [M. M. Sondhi and J. R. Resnick 73 9851002 (1983)] determines the area function from impulse response measured at lips by using the incident signal excited outside the oral cavity. This method is sensitive to the noise of measured impulse response. An alternative method [M. Honda and T. Mochida Proc. 1st ETRW?SPM 167170 (1996)] is advantageous for accurate estimation under noisy acoustic condition based on the vocal?tract digital filter model that optimizes the M sections of areas by using the impulse response longer than M samples. In this method however the vocal?tract model is based on the transmission line that treats the effect of loss in simplified form. The new method proposed in this study applies a mixture model of the lossless distributed circuit and the lumped circuit accounting for effects such as viscous loss heat conduction loss and loss due to wall vibration. The results on acoustic measurements have shown that the new method has better performance over the old method using optimization scheme based on simplified transmission line model. [Work supported by CREST JST.

2001-01-01T23:59:59.000Z

96

A BIOMASS-BASED MODEL TO ESTIMATE THE PLAUSIBILITY OF EXOPLANET BIOSIGNATURE GASES  

SciTech Connect (OSTI)

Biosignature gas detection is one of the ultimate future goals for exoplanet atmosphere studies. We have created a framework for linking biosignature gas detectability to biomass estimates, including atmospheric photochemistry and biological thermodynamics. The new framework is intended to liberate predictive atmosphere models from requiring fixed, Earth-like biosignature gas source fluxes. New biosignature gases can be considered with a check that the biomass estimate is physically plausible. We have validated the models on terrestrial production of NO, H{sub 2}S, CH{sub 4}, CH{sub 3}Cl, and DMS. We have applied the models to propose NH{sub 3} as a biosignature gas on a 'cold Haber World', a planet with a N{sub 2}-H{sub 2} atmosphere, and to demonstrate why gases such as CH{sub 3}Cl must have too large of a biomass to be a plausible biosignature gas on planets with Earth or early-Earth-like atmospheres orbiting a Sun-like star. To construct the biomass models, we developed a functional classification of biosignature gases, and found that gases (such as CH{sub 4}, H{sub 2}S, and N{sub 2}O) produced from life that extracts energy from chemical potential energy gradients will always have false positives because geochemistry has the same gases to work with as life does, and gases (such as DMS and CH{sub 3}Cl) produced for secondary metabolic reasons are far less likely to have false positives but because of their highly specialized origin are more likely to be produced in small quantities. The biomass model estimates are valid to one or two orders of magnitude; the goal is an independent approach to testing whether a biosignature gas is plausible rather than a precise quantification of atmospheric biosignature gases and their corresponding biomasses.

Seager, S.; Bains, W.; Hu, R. [Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139 (United States)

2013-10-01T23:59:59.000Z

97

A Biomass-based Model to Estimate the Plausibility of Exoplanet Biosignature Gases  

Science Journals Connector (OSTI)

Biosignature gas detection is one of the ultimate future goals for exoplanet atmosphere studies. We have created a framework for linking biosignature gas detectability to biomass estimates, including atmospheric photochemistry and biological thermodynamics. The new framework is intended to liberate predictive atmosphere models from requiring fixed, Earth-like biosignature gas source fluxes. New biosignature gases can be considered with a check that the biomass estimate is physically plausible. We have validated the models on terrestrial production of NO, H2S, CH4, CH3Cl, and DMS. We have applied the models to propose NH3 as a biosignature gas on a "cold Haber World," a planet with a N2-H2 atmosphere, and to demonstrate why gases such as CH3Cl must have too large of a biomass to be a plausible biosignature gas on planets with Earth or early-Earth-like atmospheres orbiting a Sun-like star. To construct the biomass models, we developed a functional classification of biosignature gases, and found that gases (such as CH4, H2S, and N2O) produced from life that extracts energy from chemical potential energy gradients will always have false positives because geochemistry has the same gases to work with as life does, and gases (such as DMS and CH3Cl) produced for secondary metabolic reasons are far less likely to have false positives but because of their highly specialized origin are more likely to be produced in small quantities. The biomass model estimates are valid to one or two orders of magnitude; the goal is an independent approach to testing whether a biosignature gas is plausible rather than a precise quantification of atmospheric biosignature gases and their corresponding biomasses.

S. Seager; W. Bains; R. Hu

2013-01-01T23:59:59.000Z

98

Groundwater velocities at the Nevada Test Site: {sup 14}Carbon-based estimates  

SciTech Connect (OSTI)

Chemical and isotopic data can be used to constrain and validate groundwater flow models. This study examines probable groundwater flowpaths at the Nevada Test Site (NTS) and estimates groundwater velocities for these flowpaths using water chemistry and carbon isotopes. These velocities are provided for comparison to velocities calculated by a numerical flow model developed by GeoTrans, Inc. Similar to numerical flow models, models of chemical and isotopic evolution are not unique; any number of combinations of reactions can simulate evolution from one water to another, but are no guarantee that the simulation is correct. Knowledge of the hydrology, mineralogy, and chemistry must be combined to produce feasible evolutionary paths.

Chapman, J.B.; Hershey, R.L.; Lyles, B.F.

1995-07-01T23:59:59.000Z

99

A Biomass-based Model to Estimate the Plausibility of Exoplanet Biosignature Gases  

E-Print Network [OSTI]

Biosignature gas detection is one of the ultimate future goals for exoplanet atmosphere studies. We have created a framework for linking biosignature gas detectability to biomass estimates, including atmospheric photochemistry and biological thermodynamics. The new framework is intended to liberate predictive atmosphere models from requiring fixed, Earth-like biosignature gas source fluxes. New biosignature gases can be considered with a check that the biomass estimate is physically plausible. We have validated the models on terrestrial production of NO, H2S, CH4, CH3Cl, and DMS. We have applied the models to propose NH3 as a biosignature gas on a "cold Haber World," a planet with a N2-H2 atmosphere, and to demonstrate why gases such as CH3Cl must have too large of a biomass to be a plausible biosignature gas on planets with Earth or early-Earth-like atmospheres orbiting a Sun-like star. To construct the biomass models, we developed a functional classification of biosignature gases, and found that gases (such...

Seager, S; Hu, R

2013-01-01T23:59:59.000Z

100

Roc-based estimates of neural-behavioral covariations using matched filters  

Science Journals Connector (OSTI)

Correlations between responses in visual cortex and perceptual performance help draw a functional link between neural activity and visually guided behavior. These correlations are commonly derived with ROC-based neural-behavioral covariances referred ...

Kamal Farah; Jackson E. T. Smith; Erik P. Cook

2014-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Estimation algorithm for autonomous aerial refueling using a vision based relative navigation system  

E-Print Network [OSTI]

-loop autonomous aerial refueling simulation which includes models of the receiver aircraft, VisNav sensor, Reference Observer-based Tracking Controller (ROTC), and atmospheric turbulence. The Kalman filter is tuned and evaluated for four aerial refueling scenarios...

Bowers, Roshawn Elizabeth

2005-11-01T23:59:59.000Z

102

A new algorithm for context-based biomedical diagram similarity estimation  

Science Journals Connector (OSTI)

......the relatively simple n-gram sets-based approach achieves the...Their idea is to find a minimum set of addition, deletion and moving...of a diagram does not always cover every message illustrated in...characterize G as , where is the set of nodes in G; is the set of......

Songhua Xu; Jianqiang Sheng; Xiaonan Luo

2013-03-15T23:59:59.000Z

103

Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation  

E-Print Network [OSTI]

tethered to the ground at a high velocity across the wind direction. Power can be generated by a, the first option is considered. Because it involves a much lighter structure, a major advantage of powerControl of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving

104

ISET Journal of Earthquake Technology, Paper No. 501, Vol. 46, No. 1, March 2009, pp. 1928 ARTIFICIAL NEURAL NETWORK-BASED ESTIMATION OF PEAK  

E-Print Network [OSTI]

­28 ARTIFICIAL NEURAL NETWORK-BASED ESTIMATION OF PEAK GROUND ACCELERATION C.R. Arjun and Ashok Kumar Department the application of artificial neural networks (ANNs) for the estimation of peak ground acceleration (PGA inputs. KEYWORDS: Artificial Neural Networks, Peak Ground Acceleration, Hypocentral Distance, Shear Wave

Gupta, Vinay Kumar

105

Estimation of pKa for Druglike Compounds Using Semiempirical and Information-Based Descriptors  

Science Journals Connector (OSTI)

The resultant speed and accuracy of the approach has also enabled the development of Web application on the Novartis intranet for pKa prediction. ... These constants can have a profound effect on the physicochemical properties of a compound and are therefore essential for the optimization of absorption, distribution, metabolism, and excretion (ADME) characteristics. ... (12)?Ertl, P.; Selzer, P.; Mhlbacher, J. Web-based Cheminformatics Tools Deployed via Corporate Intranets. ...

Stephen Jelfs; Peter Ertl; Paul Selzer

2007-01-13T23:59:59.000Z

106

Screening Microalgae Strains for Biodiesel Production: Lipid Productivity and Estimation of Fuel Quality Based on Fatty Acids Profiles as Selective Criteria  

Science Journals Connector (OSTI)

The viability of algae-based biodiesel industry depends on the selection of adequate ... fatty acid profiles, used for estimating the biodiesel fuel properties. Volumetric lipid productivity varied among...?1day

Iracema Andrade Nascimento; Sheyla Santa Izabel Marques

2013-03-01T23:59:59.000Z

107

Utility of SCaMPR Satellite versus Ground-Based Quantitative Precipitation Estimates in Operational Flood Forecasting: The Effects of TRMM Data Ingest  

Science Journals Connector (OSTI)

This study examines the utility of satellite-based quantitative precipitation estimates (QPEs) from the Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) algorithm for hydrologic prediction. In this work, two sets of SCaMPR QPEs, one ...

Haksu Lee; Yu Zhang; Dong-Jun Seo; Robert J. Kuligowski; David Kitzmiller; Robert Corby

2014-06-01T23:59:59.000Z

108

Reconciling Ground-Based and Space-Based Estimates of the Frequency of Occurrence and Radiative Effect of Clouds around Darwin, Australia  

SciTech Connect (OSTI)

The objective of this paper is to investigate whether estimates of the cloud frequency of occurrence and associated cloud radiative forcing as derived from ground-based and satellite active remote sensing and radiative transfer calculations can be reconciled over a well instrumented active remote sensing site located in Darwin, Australia, despite the very different viewing geometry and instrument characteristics. It is found that the ground-based radar-lidar combination at Darwin does not detect most of the cirrus clouds above 10 km (due to limited lidar detection capability and signal obscuration by low-level clouds) and that the CloudSat radar - Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) combination underreports the hydrometeor frequency of occurrence below 2 km height, due to instrument limitations at these heights. The radiative impact associated with these differences in cloud frequency of occurrence is large on the surface downwelling shortwave fluxes (ground and satellite) and the top-of atmosphere upwelling shortwave and longwave fluxes (ground). Good agreement is found for other radiative fluxes. Large differences in radiative heating rate as derived from ground and satellite radar-lidar instruments and RT calculations are also found above 10 km (up to 0.35 Kday-1 for the shortwave and 0.8 Kday-1 for the longwave). Given that the ground-based and satellite estimates of cloud frequency of occurrence and radiative impact cannot be fully reconciled over Darwin, caution should be exercised when evaluating the representation of clouds and cloud-radiation interactions in large-scale models and limitations of each set of instrumentation should be considered when interpreting model-observations differences.

Protat, Alain; Young, Stuart; McFarlane, Sally A.; L'Ecuyer, Tristan; Mace, Gerald G.; Comstock, Jennifer M.; Long, Charles N.; Berry, Elizabeth; Delanoe, Julien

2014-02-01T23:59:59.000Z

109

A comparison of reconstruction methods for the estimation of CME kinematics based on SECCHI/HI observations  

E-Print Network [OSTI]

A study of the kinematics and arrival times of CMEs at Earth, derived from time-elongation maps (J-maps) constructed from STEREO/Heliospheric Imager (HI) observations, provides an opportunity to understand the heliospheric evolution of CMEs in general. We implement various reconstruction techniques, based on the use of time-elongation profiles of propagating CMEs viewed from single or multiple vantage points, to estimate the dynamics of three geo-effective CMEs. We use the kinematic properties, derived from analysis of the elongation profiles, as inputs to the Drag Based Model for the distance beyond which the CMEs cannot be tracked unambiguously in the J-maps. The ambient solar wind into which these CMEs, which travel with different speeds, are launched, is different. Therefore, these CMEs will evolve differently throughout their journey from the Sun to 1 AU. We associate the CMEs, identified and tracked in the J-maps, with signatures observed in situ near 1 AU by the WIND spacecraft. By deriving the kinemat...

Mishra, Wageesh; Davies, Jackie A

2014-01-01T23:59:59.000Z

110

The Application of Traits-Based Assessment Approaches to Estimate the Effects of Hydroelectric Turbine Passage on Fish Populations  

SciTech Connect (OSTI)

One of the most important environmental issues facing the hydropower industry is the adverse impact of hydroelectric projects on downstream fish passage. Fish that migrate long distances as part of their life cycle include not only important diadromous species (such as salmon, shads, and eels) but also strictly freshwater species. The hydropower reservoirs that downstream-moving fish encounter differ greatly from free-flowing rivers. Many of the environmental changes that occur in a reservoir (altered water temperature and transparency, decreased flow velocities, increased predation) can reduce survival. Upon reaching the dam, downstream-migrating fish may suffer increased mortality as they pass through the turbines, spillways and other bypasses, or turbulent tailraces. Downstream from the dam, insufficient environmental flow releases may slow downstream fish passage rates or decrease survival. There is a need to refine our understanding of the relative importance of causative factors that contribute to turbine passage mortality (e.g., strike, pressure changes, turbulence) so that turbine design efforts can focus on mitigating the most damaging components. Further, present knowledge of the effectiveness of turbine improvements is based on studies of only a few species (mainly salmon and American shad). These data may not be representative of turbine passage effects for the hundreds of other fish species that are susceptible to downstream passage at hydroelectric projects. For example, there are over 900 species of fish in the United States. In Brazil there are an estimated 3,000 freshwater fish species, of which 30% are believed to be migratory (Viana et al. 2011). Worldwide, there are some 14,000 freshwater fish species (Magurran 2009), of which significant numbers are susceptible to hydropower impacts. By comparison, in a compilation of fish entrainment and turbine survival studies from over 100 hydroelectric projects in the United States, Winchell et al. (2000) found useful turbine passage survival data for only 30 species. Tests of advanced hydropower turbines have been limited to seven species - Chinook and coho salmon, rainbow trout, alewife, eel, smallmouth bass, and white sturgeon. We are investigating possible approaches for extending experimental results from the few tested fish species to predict turbine passage survival of other, untested species (Cada and Richmond 2011). In this report, we define the causes of injury and mortality to fish tested in laboratory and field studies, based on fish body shape and size, internal and external morphology, and physiology. We have begun to group the large numbers of unstudied species into a small number of categories, e.g., based on phylogenetic relationships or ecological similarities (guilds), so that subsequent studies of a few representative species (potentially including species-specific Biological Index Testing) would yield useful information about the overall fish community. This initial effort focused on modifying approaches that are used in the environmental toxicology field to estimate the toxicity of substances to untested species. Such techniques as the development of species sensitivity distributions (SSDs) and Interspecies Correlation Estimation (ICE) models rely on a considerable amount of data to establish the species-toxicity relationships that can be extended to other organisms. There are far fewer studies of turbine passage stresses from which to derive the turbine passage equivalent of LC{sub 50} values. Whereas the SSD and ICE approaches are useful analogues to predicting turbine passage injury and mortality, too few data are available to support their application without some form of modification or simplification. In this report we explore the potential application of a newer, related technique, the Traits-Based Assessment (TBA), to the prediction of downstream passage mortality at hydropower projects.

Cada, Glenn F [ORNL; Schweizer, Peter E [ORNL

2012-04-01T23:59:59.000Z

111

Estimation of dynamic petrophysical properties of water-bearing sands invaded with oil-base mud from the interpretation  

E-Print Network [OSTI]

to estimate fundamental dynamic properties of rock formations such as permeability, capillary pressure) invades connate water- saturated rocks. This is a favorable condition for the estimation of dynamic tested a new method to estimate porosity, fluid saturation, per- meability, capillary pressure

Torres-Verdín, Carlos

112

Model-Based Estimation of Off-Highway Road Geometry using Single-Axis LADAR and Inertial Sensing  

E-Print Network [OSTI]

Submitted, 2006 International Conference on Robotics and Automation Abstract-- This paper applies some for a variety of automotive applications in intelligent transporta- tion systems, because it enables prediction estimation schemes for road estimation to "off-highway" environments, where roads are typically not painted

Murray, Richard M.

113

ReproducedfromCropScience.PublishedbyCropScienceSocietyofAmerica.Allcopyrightsreserved. Pedigree-vs. DNA Marker-Based Genetic Similarity Estimates in Cotton  

E-Print Network [OSTI]

- vs. DNA Marker-Based Genetic Similarity Estimates in Cotton Guillermo Van Becelaere, Edward L and detailed pedi- mates for a set of 36 Upland cotton (Gossypium hirsutum L.) cultivars. gree records similarity measures the degree ofof true genetic resemblance among cotton cultivars. Nevertheless

Chee, Peng W.

114

Speed-and Facility-Specific Emission Estimates for On-Road Light-Duty Vehicles based on Real-World Speed Profiles  

E-Print Network [OSTI]

06-1096 Speed- and Facility-Specific Emission Estimates for On-Road Light-Duty Vehicles based on Real-World Speed Profiles By H. Christopher Frey, Ph.D. Professor Department of Civil, Construction demand and land use models such as TransCAD, TranPlan or TRANUS produce average link speed and link VMT

Frey, H. Christopher

115

ESTIMATES OF THE PLANET YIELD FROM GROUND-BASED HIGH-CONTRAST IMAGING OBSERVATIONS AS A FUNCTION OF STELLAR MASS  

SciTech Connect (OSTI)

We use Monte Carlo simulations to estimate the number of extrasolar planets that are directly detectable in the solar neighborhood using current and forthcoming high-contrast imaging instruments. Our calculations take into consideration the important factors that govern the likelihood for imaging a planet, including the statistical properties of stars in the solar neighborhood, correlations between star and planet properties, observational effects, and selection criteria. We consider several different ground-based surveys, both biased and unbiased, and express the resulting planet yields as a function of stellar mass. Selecting targets based on their youth and visual brightness, we find that strong correlations between star mass and planet properties are required to reproduce high-contrast imaging results to date (i.e., HR 8799, {beta} Pic). Using the most recent empirical findings for the occurrence rate of gas-giant planets from radial velocity (RV) surveys, our simulations indicate that naive extrapolation of the Doppler planet population to semimajor axes accessible to high-contrast instruments provides an excellent agreement between simulations and observations using present-day contrast levels. In addition to being intrinsically young and sufficiently bright to serve as their own beacon for adaptive optics correction, A-stars have a high planet occurrence rate and propensity to form massive planets in wide orbits, making them ideal targets. The same effects responsible for creating a multitude of detectable planets around massive stars conspire to reduce the number orbiting low-mass stars. However, in the case of a young stellar cluster, where targets are approximately the same age and situated at roughly the same distance, MK-stars can easily dominate the number of detections because of an observational bias related to small number statistics. The degree to which low-mass stars produce the most planet detections in this special case depends upon whether multiple formation mechanisms are at work. Upon relaxing our assumption that planets in ultra-wide (a > 100 AU) orbits resemble the RV sample, our simulations suggest that the companions found orbiting late-type stars (AB Pic, 1RXSJ1609, GSC 06214, etc.) are consistent with a formation channel distinct from that of RV planets. These calculations explain why planets have thus far been imaged preferentially around A-stars and K-, M-stars, but no spectral types in between, despite concerted efforts targeting F-, G-stars.

Crepp, Justin R.; Johnson, John Asher, E-mail: jcrepp@astro.caltech.edu [California Institute of Technology, 1200 E. California Blvd., Pasadena, CA 91125 (United States); NASA Exoplanet Science Institute (NExScI), California Institute of Technology, Mail Code 100-22, 770 South Wilson Avenue, Pasadena, CA 91125 (United States)

2011-06-01T23:59:59.000Z

116

Estimates of the Planet Yield from Ground-based High-contrast Imaging Observations as a Function of Stellar Mass  

Science Journals Connector (OSTI)

We use Monte Carlo simulations to estimate the number of extrasolar planets that are directly detectable in the solar neighborhood using current and forthcoming high-contrast imaging instruments. Our calculations take into consideration the important factors that govern the likelihood for imaging a planet, including the statistical properties of stars in the solar neighborhood, correlations between star and planet properties, observational effects, and selection criteria. We consider several different ground-based surveys, both biased and unbiased, and express the resulting planet yields as a function of stellar mass. Selecting targets based on their youth and visual brightness, we find that strong correlations between star mass and planet properties are required to reproduce high-contrast imaging results to date (i.e., HR 8799, ? Pic). Using the most recent empirical findings for the occurrence rate of gas-giant planets from radial velocity (RV) surveys, our simulations indicate that naive extrapolation of the Doppler planet population to semimajor axes accessible to high-contrast instruments provides an excellent agreement between simulations and observations using present-day contrast levels. In addition to being intrinsically young and sufficiently bright to serve as their own beacon for adaptive optics correction, A-stars have a high planet occurrence rate and propensity to form massive planets in wide orbits, making them ideal targets. The same effects responsible for creating a multitude of detectable planets around massive stars conspire to reduce the number orbiting low-mass stars. However, in the case of a young stellar cluster, where targets are approximately the same age and situated at roughly the same distance, MK-stars can easily dominate the number of detections because of an observational bias related to small number statistics. The degree to which low-mass stars produce the most planet detections in this special case depends upon whether multiple formation mechanisms are at work. Upon relaxing our assumption that planets in ultra-wide (a > 100 AU) orbits resemble the RV sample, our simulations suggest that the companions found orbiting late-type stars (AB Pic, 1RXSJ1609, GSC 06214, etc.) are consistent with a formation channel distinct from that of RV planets. These calculations explain why planets have thus far been imaged preferentially around A-stars and K-, M-stars, but no spectral types in between, despite concerted efforts targeting F-, G-stars.

Justin R. Crepp; John Asher Johnson

2011-01-01T23:59:59.000Z

117

Energy Efficiency Potential for Distribution Transformers in the APEC Economies  

E-Print Network [OSTI]

APERC, 2012. APEC Energy Demand and Supply Outlook 5thand, based on the APERC Energy Demand and Supply Outlook (BUENAS calculates final energy demand according to the UEC

Letschert, Virginie

2014-01-01T23:59:59.000Z

118

Los Alamos PC estimating system  

SciTech Connect (OSTI)

The Los Alamos Cost Estimating System (QUEST) is being converted to run on IBM personal computers. This very extensive estimating system is capable of supporting cost estimators from many different and varied fields. QUEST does not dictate any fixed method for estimating. QUEST supports many styles and levels of detail estimating. QUEST can be used with or without data bases. This system allows the estimator to provide reports based on levels of detail defined by combining work breakdown structures. QUEST provides a set of tools for doing any type of estimate without forcing the estimator to use any given method. The level of detail in the estimate can be mixed based on the amount of information known about different parts of the project. The system can support many different data bases simultaneously. Estimators can modify any cost in any data base.

Stutz, R.A.; Lemon, G.D.

1987-01-01T23:59:59.000Z

119

ROBUST TDE-BASED DOA ESTIMATION FOR COMPACT AUDIO ARRAYS Krishnaraj Varma, Takeshi Ikuma, and A. A. (Louis) Beex  

E-Print Network [OSTI]

algorithm with PHAT weighting (SRP-PHAT algorithm) [1]. The SRP-PHAT algorithm computes a cumulative cumulative GCC-PHAT value is assumed to be the true DOA. While it has been argued [1] that the SRP computational effort. While improving DOA estimation accuracy toward that of the SRP-PHAT algorithm

Beex, A. A. "Louis"

120

Power estimation and reliability evaluation of municipal waste water and self-excited induction generator-based micro hydropower generation system  

Science Journals Connector (OSTI)

This paper presents power estimation and reliability evaluation of the micro hydro power generation system based on municipal waste water. Self-excited induction generator was used in the developed power plant, situated at IIT (BHU) campus, Varanasi, India. The hydro potential of the waste water flowing through sewage system of the Banaras Hindu University has been determined for annual flow duration and daily flow duration curves by ordering the recorded waste water from maximum to minimum flows. This paper estimates output power and determines reliability indices like: failure rate, repair rate, MTTF, MTTR and MTBF of the MWW-based developed generation plant. Design parameters of the SEIG with suitable values of the capacitor have been used and recommended for improvement of the power generation quality and reliability of the system.

Lokesh Varshney; R.K. Saket; Saeid Eslamian

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Real-time estimation of gas turbine engine damage using a control-based Kalman filter algorithm  

SciTech Connect (OSTI)

In this paper a second-generation Kalman filter algorithm is described that has sufficient accuracy and response for real-time detection and estimation of gas turbine engine gas path damage caused by normal wear, mechanical failures, and ingestion of foreign objects. The algorithm was developed for in-flight operation of aircraft engines but also has application for marine and industrial gas turbines. The control measurement and microcomputer requirements are described. The performance and sensitivity to engine transients and measurement errors is evaluated. The algorithm is demonstrated with actual engine data of ice and bird ingestion tests.

Kerr, L.J.; Nemec, T.S.; Gallops, G.W. (Pratt and Whitney, United Technologies Corp., West Palm Beach, FL (US))

1992-04-01T23:59:59.000Z

122

A neural network based approach to estimate of power system harmonics for an induction furnace under the different load conditions  

Science Journals Connector (OSTI)

This study presents an artificial neural network based intelligent monitoring algorithm to detect of a power system harmonics. The proposed approach was tested on the current and voltage data of an induction furn...

Hayrettin Gokozan; Sezai Taskin; Serhat Seker; Huseyin Ekiz

2014-11-01T23:59:59.000Z

123

Cost Estimator  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as a senior cost and schedule estimator who is responsible for preparing life-cycle cost and schedule estimates and analyses associated with the...

124

A new GA optimised Reliability Ratio based integration weight estimation scheme for decision fusion Audio-Visual Speech Recognition  

Science Journals Connector (OSTI)

Audio-Visual Speech Recognition (AVSR) using acoustic and visual signals of speech have received attention recently because of its robustness in noisy environments. An important issue in decision fusion AVSR systems is the determination of appropriate integration weight for better performance. A new Genetic Algorithm (GA) based scheme to obtain an appropriate integration weight is proposed here. The performance of the proposed scheme is demonstrated for commonly used mobile functions isolated word recognition via multi-speaker database experiment. The results show that the proposed scheme improves robust recognition accuracy over conventional unimodal systems and other related bimodal systems, namely, Reliability ratio and Neural Network based AVSR systems.

R. Rajavel; P.S. Sathidevi

2011-01-01T23:59:59.000Z

125

A Method for energy estimation and mass composition determination of primary cosmic rays at Chacaltaya observation level based on atmospheric Cerenkov light technique  

E-Print Network [OSTI]

A new method for energy and mass composition estimation of primary cosmic ray radiation based on atmospheric Cerenkov light flux in extensive air showers (EAS) analysis is proposed. The Cerenkov light flux in EAS initiated by primary protons and iron nuclei is simulated with CORSIKA 5.62 code for Chacaltaya observation level (536 g/cm2) in the energy range 10 TeV - 10 PeV. An adequate model, approximation of lateral distribution of Cerenkov light in showers is obtained. Using the proposed model and solution of overdetermined system of nonlinear equations based on Gauss Newton method with autoregularization, two different array detector arrangements are compared. The detector response for the detector sets is simulated. The accuracies in energy and shower axis determination are studied and the corresponding selection criteria are proposed. An approximation with nonlinear fit is obtained and the energy dependence of the proposed model function parameters is studied. The approximation of model parameters as function of the primary energy is carried out. This permits, taking into account the properties of the proposed method and model, to distinguish proton primaries from iron primaries. The detector response for the detector sets is simulated and the accuracies in energy determination are calculated. Moreover the accuracies in shower axis determination are studied and criteria in shower axis position estimation are proposed.

S. Mavrodiev; A. Mishev; J. Stamenov

2003-10-22T23:59:59.000Z

126

Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model  

Science Journals Connector (OSTI)

Abstract Carbon dioxide is an important greenhouse gas, and its atmospheric concentration has been predicted to increase in the future. The objective of this study was to quantify the soil CO2 efflux in a suburban area including mixed deciduous forest and grass by numerically modeling the CO2 transport through the soil profile. Three stations per land-cover (forest and grass) were selected at the Cub Hill site (MD, USA), where the US Forest Service operates an urban flux tower. Six VAISALA CO2 sensors (Vaisala Inc., Finland) per monitoring station were horizontally installed at 6 different depths (soil surface, 0.02, 0.05, 0.10, 0.20, and 0.30m from the soil surface) in the mid of May, 2011. Temperature and volumetric soil moisture measurements were taken using thermistors and EC-5 sensors (Decagon devices, Pullman, WA, USA) that were installed at the same depths as the CO2 sensors except for the soil surface. These data were recorded every 10min. To evaluate the numerical model (SOILCO2), CO2 efflux using the standard chamber method was measured once a week. The CO2 effluxes from the standard chamber method ranged from 3.32נ10?9 to 7.28נ10?8m3m?2s?1 and 6.79נ10?9 to 1.45נ10?7m3m?2s?1 for forest and grass, respectively. The CO2 effluxes from bare soil at the grass site varied with the range of 3.63נ10?8 to 9.37נ10?8m3m?2s?1. The pulse effect (a rapid increase of CO2 concentrations right after rainfall events) in grass, where changes in soil moisture were larger than in the forest, was more apparent than in the forest. Diurnal patterns similar to those of temperature were observed from CO2 profiles in soils. The SOILCO2 model estimated the soil CO2 effluxes with coefficients of correlation of 0.64 and 0.76 at forest and grass, respectively, and root mean square error (RMSE) of 1.58נ10?8 and 2.06נ10?8m3m?2s?1 for forest and grass, respectively. This study suggests that the SOILCO2 model can provide a better understanding of the contribution of the soil ecosystem to the carbon cycle in suburban environments including mixed deciduous forest and grass.

J.A. Chun; K. Szlavecz; M. Bernard; D. Ferrer; J. Hom; N. Saliendra

2014-01-01T23:59:59.000Z

127

Online estimation of wax deposition thickness in single-phase sub-sea pipelines based on acoustic chemometrics: A feasibility study  

Science Journals Connector (OSTI)

Wax deposition in sub-sea oil producing pipelines is a concern to the oil producing companies. The deposition of wax in pipelines can cause serious economic implications if not monitored and controlled. Several researchers have developed models and investigated the deposition of wax in crude oil pipelines. As of today, there is no off the shelf instrument available for reliable online estimation of the wax deposition thickness in sub-sea pipelines. Acoustic chemometrics was applied to investigate the potential for online estimation of wax deposition thickness in sub-sea pipelines. This feasibility study was carried out as a so called piggy back on experiments performed at Statoil research centre in Porsgrunn, Norway with real crude oil or waxy gas condensate. The first investigations focused on the repeatability of the acoustic chemometric technique followed by online prediction of the wax deposition thickness in a single-phase oil flow pipeline. A partial least squares regression model was calibrated and validated with a totally independent data set. The calibrated model had a root mean squared error of prediction of 0.28mm with a final wax deposition thickness of 3.36mm, a slope of 0.91 and R2 of 0.83 which were satisfactory results. The effect of varying oil flow rates on the wax deposition thickness was also investigated. The preliminary results showed the need for further investigations based on a robust experimental design and sample pre-processing. The general conclusion that can be drawn from this feasibility study was that the potential of adapting the acoustic chemometric technique for online estimation of the wax deposition thickness exist and must be further investigated.

Maths Halstensen; Benjamin Kaku Arvoh; Lene Amundsen; Rainer Hoffmann

2013-01-01T23:59:59.000Z

128

Comparison and application of different empirical correlations for estimating the hydrate safety margin of oil-based drilling fluids containing ethylene glycol  

Science Journals Connector (OSTI)

As the oil and gas industries continue to increase their activity in deep water, gas hydrate hazards will become more serious and challenging, both at present and in the future. Accurate predictions of the hydrate-free zone and the suitable addition of salts and/or alcohols in preparing drilling fluids are particularly important both in preventing hydrate problems and decreasing the cost of drilling operations. In this paper, we compared several empirical correlations commonly used to estimate the hydrate inhibition effect of aqueous organic and electrolyte solutions using experiments with ethylene glycol (EG) as a hydrate inhibitor. The results show that the Najibi et al. correlation (for single and mixed thermodynamic inhibitors) and the Ostergaard et al. empirical correlation (for single thermodynamic inhibitors) are suitable for estimating the hydrate safety margin of oil-based drilling fluids (OBDFs) in the presence of thermodynamic hydrate inhibitors. According to the two correlations, the OBDF, composed of 1.6 L vaporizing oil, 2% emulsifying agent, 1% organobentonite, 0.5% SP-1, 1% LP-1, 10% water and 40% EG, can be safely used at a water depth of up to 1900 m. However, for more accurate predictions for drilling fluids, the effects of the solid phase, especially bentonite, on hydrate inhibition need to be considered and included in the application of these two empirical correlations.

Fulong Ning; Ling Zhang; Guosheng Jiang; Yunzhong Tu; Xiang Wu; Yibing Yu

2011-01-01T23:59:59.000Z

129

Establish the multi-source data fusion model of the shape of blast furnace burden surface based on co-universal kriging estimation method  

Science Journals Connector (OSTI)

This paper presents a multi-source data fusion model method which could improve the blast furnace (BF) burden surface model accuracy. First, the three sections of straight line are used to describe the cross section of BF burden surface, and apply the motion law of the furnace burden to constrain the specific parameters of the three sections of straight line. Secondly, a multi-source data fusion method based on co-universal kriging estimation method is proposed. The temperature and height data are combined to build the unbiased estimation for the burden surface shape. Finally, an example of surface shape model using our proposed method in a 2500 m BF of a steel plant is discussed. The application shows that, contrasted with the traditional model, the model accuracy has arisen by 8%, and the resolution of surface shape has arisen by 0.32. The novel method can provide necessary guidance for energy saving and emission reduction in operation of the BF.

Liangliang Miao; Xianzhong Chen; Shilong Zhao; Zhenlong Bai

2014-01-01T23:59:59.000Z

130

Sliding mode observer design for a PWR to estimate the xenon concentration & delayed neutrons precursor density based on the two point nuclear reactor model  

Science Journals Connector (OSTI)

Abstract One of the important operations in nuclear power plants is load-following in which imbalance of axial power distribution induces xenon oscillations. These oscillations must be maintained within acceptable limits otherwise the nuclear power plant could become unstable. Therefore, bounded xenon oscillation considered to be a constraint for the load-following operation. In other hands, precursors produce delayed neutrons which are most important in control of nuclear reactor, but xenon concentration & precursor density cannot be measured directly. In this paper, non-linear sliding mode observer which has the robust characteristics facing the parameters uncertainties and disturbances is proposed based on the two point nuclear reactor model to estimate the xenon concentration & delayed neutron precursor density of the Pressurized-Water Nuclear Reactor (PWR) using reactor power measurement. The stability analysis is given by means Lyapunov approach, thus the system is guaranteed to be stable within a large range. The employed method is easy to implement in practical applications. This estimation is done taking into account the effects of reactivity feedback due to temperature and xenon concentration. Simulation results clearly show that the sliding mode observer follows the actual system variables accurately and is satisfactory in the presence of the parameters uncertainties & disturbances.

G.R. Ansarifar; M.H. Esteki; M. Arghand

2015-01-01T23:59:59.000Z

131

Estimation of the recycled power associated with the cryogenic refrigeration power of a fusion reactor based on TORE SUPRA experiment and ITER design  

Science Journals Connector (OSTI)

The refrigeration power associated with the superconducting magnets and cryopumps of a steady-state fusion reactor is not negligible. The power has to be minimized because it plays a role in the power station global efficiency and in the required amplification factor Q. On the one hand, the long plasma discharges obtained in December 2003 on TORE SUPRA give an insight of the cryogenic losses that might be expected for a steady-state fusion reactor equipped with superconducting magnets. The superfluid bath of the windings in TORE SUPRA allows a simple calorimetric estimation of the cryogenic losses through the temperature evolution of the bath during the long discharge. The different kinds of losses in TORE SUPRA are estimated, discussed and explained. Not all of them will be present in a real reactor. On the other hand, in the framework of ITER preparation, the magnet system and the associated refrigerator have been dimensioned taking into account again all kinds of cold losses. This exercise is important because ITER, by its size, could be relevant to the steady-state reactor situation regarding refrigeration. Based on TORE SUPRA experiment and ITER design it is, therefore, possible to propose for the first time a preliminary figure for the cryoplant power of a steady-state reactor. The order of magnitude of the cryoplant power is ten times lower than that of the fusion reactor recycled power which can be considered acceptable.

J.L. Duchateau; J.Y. Journeaux; F. Millet

2006-01-01T23:59:59.000Z

132

Microsoft Word - UEC_Minutes_08Mar13.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

March 8, 2013 March 8, 2013 Attending: Mary Anne Cummings, Craig Group (remote), Daniel Kaplan, Sergo Jindariani, Breese Quinn (remote), Lee Roberts, Mandy Rominsky, Gregory Snow (remote), Nikos Varelas, Bob Zwaska (Not Present: Ryan Patterson, Greg Pawloski) FSPA: Vladimir Khalatyan, Carrie McGivern Guests: Bob Bernstein, Pier Oddone, Katie Yurkewicz Presentations https://indico.fnal.gov/conferenceDisplay.py?confId=6550 News from the Chair - Nikos Varelas The new brochure for the DC trip was discussed. A QR code was inserted into our new HEP brochure pointing to the Accelerators for America's Future webpage. Computing Division will be working on articles for Computing Bits (http://computing.fnal.gov/news/) or Fermilab Today to highlight the computing

133

Microsoft Word - UEC Agenda-19Oct2012.doc  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Wilson Hall, 7XO (Racetrack) Friday October 19, 2012 08:30am - noon Agenda 08:30 - 08:50 am Continental Breakfast News/Announcement - Young-Kee Kim 08:50 - 09:15 am Group Photo (WH Atrium @ 9am sharp) 09:20 - 09:45 am News from the Chair - Nikos Varelas 09:45 - 10:30 am Subcommittee Reports and Plans 10:30 - 11:00 am View from Washington - Carole McGuire (Lewis-Burke Associates) 11:00 - 11:30 am News from the Office of Communication - Katie Yurkewicz

134

Microsoft Word - UEC_Minutes_Dec07.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

December 7, 2012 December 7, 2012 Attending: Mary Anne Cummings, Craig Group, Sergo Jindariani, Daniel Kaplan, Ryan Patterson (remote), Greg Pawloski (remote), Breese Quinn (remote), Lee Roberts, Mandy Rominsky, Gregory Snow (remote), Nikos Varelas, Bob Zwaska FSPA: Leonidas Aliaga, Carrie McGivern, Jason St. John Guests: Joel Butler, Herman White, Young-Kee Kim (remote), Carole McGuire (remote) Presentations https://indico.fnal.gov/conferenceDisplay.py?confId=6162 News from the Directorate - Young-Kee Kim Deputy Director Young-Kee Kim reported on the status of the Lab. The LBNE had its CD-1 review, and it went well. The final step of the review is a meeting with the Director of DOE Office of Science Bill Brinkman during the 2 nd week of December. There are discussions with European and Indian Institutions/Agencies for their

135

Microsoft Word - UEC_Minutes_Jan04_2013.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

January 4, 2013 January 4, 2013 Attending: Mary Anne Cummings, Daniel Kaplan, Ryan Patterson (remote), Greg Pawloski (remote), Breese Quinn (remote), Lee Roberts, Mandy Rominsky, Gregory Snow, Nikos Varelas, Bob Zwaska (Not Present: Craig Group, Sergo Jindariani) FSPA: Leonidas Aliaga, Carrie McGivern Guests: Barb Book, Young-Kee Kim, Pier Oddone, Katie Yurkewicz Presentations https://indico.fnal.gov/conferenceDisplay.py?confId=6213 News from the Chair & Washington - Nikos Varelas Nikos reviewed the news that Finland had declined to host the Long Baseline Neutrino Oscillation experiment (LBNO). This may increase the chance for European participation in LBNE. Meanwhile, LBNE was granted CD-1 by DOE. Global Entry interview slots are filling up, but some are still available for the later date

136

Microsoft Word - UEC-Dinner-meeting-2014_Final.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

once thought to be a benign modification, provides a new means to tune the optoelectronic properties of conducting polymers used for solar cells by affecting their intra-...

137

Microsoft Word - UEC_Minutes_Oct19_2012.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

October 19, 2012 October 19, 2012 Attending: Mary Anne Cummings, Craig Group, Sergo Jindariani, Greg Pawloski (remote), Breese Quinn, Lee Roberts, Mandy Rominsky, Gregory Snow (remote), Nikos Varelas, Bob Zwaska (Absent: Daniel Kaplan, Ryan Patterson) FSPA: Chris Prokop Guests: Greg Bock, Young-Kee Kim, Katie Yurkewicz Presentations https://indico.fnal.gov/conferenceDisplay.py?confId=6045 News from the Directorate (1) - Young-Kee Kim The Deputy Director came early to discuss next year's Users Meeting in coordination with an international ILC event. The ILC is completing its TDR and reorganizing to be headed by Lyn Evans. It is hoped to have an international event next summer to highlight this milestone, and the proposed dates coincide with the Users Meeting in June 12-13,

138

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

139

Highly Automated Dipole EStimation , A. Pascarella2  

E-Print Network [OSTI]

filter, HADES (Highly Automatic Dipole EStimation). HADES is an open-source, freely downloadable, Matlab-based

Piana, Michele

140

Estimation of the electron density and radiative energy losses in a calcium plasma source based on an electron cyclotron resonance discharge  

SciTech Connect (OSTI)

The parameters of a calcium plasma source based on an electron cyclotron resonance (ECR) discharge were calculated. The analysis was performed as applied to an ion cyclotron resonance system designed for separation of calcium isotopes. The plasma electrons in the source were heated by gyrotron microwave radiation in the zone of the inhomogeneous magnetic field. It was assumed that, in such a combined trap, the energy of the extraordinary microwave propagating from the high-field side was initially transferred to a small group of resonance electrons. As a result, two electron components with different transverse temperatures-the hot resonance component and the cold nonresonance component-were created in the plasma. The longitudinal temperatures of both components were assumed to be equal. The entire discharge space was divided into a narrow ECR zone, where resonance electrons acquired transverse energy, and the region of the discharge itself, where the gas was ionized. The transverse energy of resonance electrons was calculated by solving the equations for electron motion in an inhomogeneous magnetic field. Using the law of energy conservation and the balance condition for the number of hot electrons entering the discharge zone and cooled due to ionization and elastic collisions, the density of hot electrons was estimated and the dependence of the longitudinal temperature T{sub e Parallel-To} of the main (cold) electron component on the energy fraction {beta} lost for radiation was obtained.

Potanin, E. P., E-mail: potanin@imp.kiae.ru; Ustinov, A. L. [National Research Centre Kurchatov Institute (Russian Federation)

2013-06-15T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
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141

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network [OSTI]

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density...

Chang, Meng-Shiuh

2012-10-19T23:59:59.000Z

142

Cost Estimating, Analysis, and Standardization  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

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

1984-11-02T23:59:59.000Z

143

Estimation of bremsstrahlung photon energy in the environment of high-energy electron accelerator using CaSO4:Dy based TL dosemeter  

Science Journals Connector (OSTI)

......Estimation of bremsstrahlung photon energy in the environment of high-energy electron accelerator using CaSO4...Mishra S. C. Quality control audit using TLDs for linear accelerators...Estimation of bremsstrahlung photon energy in the environment of high-energy......

A. K. Bakshi; M. K. Nayak; G. Haridas; S. Chatterjee; R. K. Kher

2008-01-01T23:59:59.000Z

144

Doppler Effect removal based on instantaneous frequency estimation and time domain re-sampling for wayside acoustic defective bearing detector system  

Science Journals Connector (OSTI)

Abstract The phenomenon of Doppler Effect in the acoustic signal recorded by the wayside acoustic defective bearing detector (ADBD) leads to the difficulty for fault diagnosis of train bearings with a high moving speed, which is a barrier that would badly reduce the effectiveness of online defect detection. In order to improve the performance of condition monitoring of the bearings on a passing train with microphones amounted besides the railway, the elimination of the Doppler Effect should be solved firstly. An effective method for removing the Doppler Effect embedded in the source signal is presented in this paper. The Short Time Fourier Transform-Viterbi Algorithm (STFT-VA) is applied to obtain instantaneous frequency estimation of the distorted signal. According to the acoustic theory of Morse, the non-linear data fitting is then carried out to get the fitting instantaneous frequencies. The necessary parameters for time domain interpolation re-sampling, which is totally based on the kinematic analysis, are acquired from the fitting curve and the re-sampling sequence could be established in the time domain. As a result of the preceding steps, the fault diagnosis for the train bearings could be implemented with the restored signal. The effectiveness of this proposed method is verified by means of a simulation with three adjacent frequencies and an experiment with practical acoustic signals of train bearings with a crack on the outer race and the inner race. The results of the simulation and the experiment indicate that the proposed method has an excellent performance in removing Doppler Effect, and could be well employed to the condition monitoring and fault diagnosis of train bearings with a high moving speed.

Chao Wang; Fanrang Kong; Qingbo He; Fei Hu; Fang Liu

2014-01-01T23:59:59.000Z

145

Estimation of the contribution of photon radiation for measurement of the exposure dose rate of neutron sources based on 252Cf  

Science Journals Connector (OSTI)

A method for the estimation of the contribution of photon radiation to the detector readings for measurement of the exposure dose rate and the equivalent activity of neutron ... screens and filters is considered....

N. F. Demchenko; R. N. Minvaliev; V. I. Shipilov

2012-06-01T23:59:59.000Z

146

Challenges in estimating waste confinement costs  

SciTech Connect (OSTI)

This paper presents a systems analysis framework for cost estimating and outlines the challenges likely to be confronted during the cost estimating and data base development process. 1 ref., 8 figs.

Rivera, A.L.

1990-01-01T23:59:59.000Z

147

Real-time data processing and magnetic field pitch angle estimation of the JET motional Stark effect diagnostic based on Kalman filtering  

SciTech Connect (OSTI)

A novel technique for the real-time measurement of the magnetic field pitch angle in JET discharges using the motional Stark effect diagnostic is presented. Kalman filtering techniques are adopted to estimate the amplitude of the avalanche photodiode signals' harmonics that are relevant for the pitch angle calculation. The proposed technique {l_brace}for extended technical details of the generic algorithm see [R. Coelho and D. Alves, IEEE Trans. Plasma Sci. 37, 164 (2009)]{r_brace} is shown to be much more robust and provides less noisy estimates than an equivalent lock-in amplifier scheme, in particular when dealing with edge localized modes.

Coelho, R.; Alves, D. [Instituto de Plasmas e Fusao Nuclear, Associacao Euratom/IST, 1049-001 Lisboa (Portugal); Hawkes, N.; Brix, M. [Euratom/UKAEA Fusion Association, Culham Science Centre, Abingdon, Oxon, OX14 3DB (United Kingdom); Collaboration: JET EFDA Contributors

2009-06-15T23:59:59.000Z

148

Satellite-based estimates of ground-level fine particulate matter during extreme events: A case study of the Moscow fires in 2010  

E-Print Network [OSTI]

adverse health effects. Large short-term increases in air pollution, or air pollution episodes, in the mid on August 7, 2010 in the Moscow region of the Russian Federation. We estimate that exposure to air pollution, but it is reasonable to assume that these extreme, short-lived excursions in ambient air pollution resulted in serious

Martin, Randall

149

ARM - Lesson Plans: Estimating Local Sea Level  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lesson Plans Lesson Plans: Estimating Local Sea Level Objective The objective is to train students' skills in observing the local environment based upon the sea level...

150

U.S. Uranium Reserves Estimates  

Gasoline and Diesel Fuel Update (EIA)

The initial uranium property reserves estimates were based on bore hole radiometric data validated by chemical analysis of samples from cores and drill cuttings. The...

151

Characterization Of State Estimation Biases  

Science Journals Connector (OSTI)

The control and operation of an electric power system is based on the ability to determine the state of the system in real time. State estimation (SE) has been introduced in the 1960s to achieve this objective. The initial implementation was based on ...

A. P. Sakis Meliopoulos; George K. Stefopoulos

2006-01-01T23:59:59.000Z

152

From carbon to light: a new framework for estimating greenhouse gas emissions reductions from replacing fuel-based lighting with LED systems  

Science Journals Connector (OSTI)

There is considerable well-intended, yet wishful anticipation about reducing greenhouse gas emissions by replacing fuel-based lighting in the developing world with grid-independent light-emitting diode (LED) lighting

Evan Mills; Arne Jacobson

2011-11-01T23:59:59.000Z

153

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population;TABLE OF CONTENTS Page F- Part I. Estimates of Dose...........................................................................................40 Comparison to dose estimates from global fallout

154

Parameter Estimation Through Ignorance  

E-Print Network [OSTI]

Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

Hailiang Du; Leonard A. Smith

2012-06-06T23:59:59.000Z

155

Evaluation of prediction equations to estimate gross, digestible, and metabolizable energy content of maize dried distillers grains with solubles (DDGS) for swine based on chemical composition  

Science Journals Connector (OSTI)

Abstract The objective of this study was to cross-validate prediction equations to estimate the concentration of GE, DE, and ME among sources of corn distillers dried grains with solubles (DDGS) with variable chemical composition in growing pigs. Published concentrations (DM basis) of GE, CP, ether extract (EE), NDF, and total dietary fiber (TDF) along with particle size (PS, ?m), bulk density (BD, g/cm3) and in vivo determinations of DE and ME from 45 sources of DDGS samples were obtained from 5 published studies. Prediction equations for GE (5 equations), DE (20 equations), and ME (19 equations) from published studies were used to calculate the concentration of GE, DE, and ME among DDGS sources and compare with experimentally determined in vivo values. Each equation was evaluated using the entire data set, and data sets that excluded data from which the equation was developed (cross-validation). Equations were compared for their overall explanation of variance (R2), precision for reduction in prediction error (PE, kcal/kg DM), and accuracy in deviation of the predicted mean from the overall observed mean (bias, kcal/kg DM). Prediction of GE concentrations among DDGS sources was poor (PE150) despite moderate explanation of overall variance (R2<0.6). Therefore, we tested DE and ME equations that included GE as an input using the actual analyzed GE concentration of samples. Under this condition, the most precise (PE=144) and accurate (bias=19) DE equation was DE=?2,161+(1.39נGE)?(20.7נNDF)?(49.3נEE). The most precise (PE=149) and accurate (bias=?82) ME equation was ME=?261+(1.05נGE)?(7.89נCP)+(2.47נNDF)?(4.99נEE). Predicting GE with equation GE=4,583+(50.6נEE)?(0.1נPS), and using this estimate in the equation of ME=?261+(1.05נGE)?(7.89נCP)+(2.47נNDF)?(4.99נEE), resulted in moderate precision (PE=134) and accuracy (bias=48). Cross-validation of equations that require PS, BD, or TDF as inputs was not possible because these inputs were only measured in 1 of the 5 published studies used in this evaluation.

P.E. Urriola; M. Li; B.J. Kerr; G.C. Shurson

2014-01-01T23:59:59.000Z

156

This paper presents a neural network based technique for the solution of a water system state estimation problem.The technique  

E-Print Network [OSTI]

ABSTRACT This paper presents a neural network based technique for the solution of a water system applied to a realistic 34-node water network. By changing the values of neural network parameters both with respect to their sensitivity to measurement errors. INTRODUCTION Efficient control of a complex water

Bargiela, Andrzej

157

Cost Estimation Package  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

1997-03-28T23:59:59.000Z

158

Development of an ANN based system identification tool to estimate the performance-emission characteristics of a CRDI assisted CNG dual fuel diesel engine  

Science Journals Connector (OSTI)

Abstract In the present study the performance and emission parameters of a single cylinder four-stroke CRDI engine under CNG-diesel dual-fuel mode have been modeled by Artificial Neural Network. An ANN model was developed to predict BSFC, BTE, NOx, PM and HC based on the experimental data, with load, fuel injection pressure and CNG energy share as input parameters for the network. The developed ANN model was capable of predicting the performance and emission parameters with commendable accuracy as observed from correlation coefficients within the range of 0.998330.99999, mean absolute percentage error in the range of 0.0451.66% along with noticeably low root mean square errors provided an acceptable index of the robustness of the predicted accuracy.

Sumit Roy; Rahul Banerjee; Ajoy Kumar Das; Probir Kumar Bose

2014-01-01T23:59:59.000Z

159

Check Estimates and Independent Costs  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

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.

1997-03-28T23:59:59.000Z

160

Model-Based Estimation of Forest Canopy Height in Red and Austrian Pine Stands Using Shuttle Radar Topography Mission and Ancillary Data: a Proof-of-Concept Study  

SciTech Connect (OSTI)

In this paper, accurate tree stand height retrieval is demonstrated using C-band Shuttle Radar Topography Mission (SRTM) height and ancillary data. The tree height retrieval algorithm is based on modeling uniform tree stands with a single layer of randomly oriented vegetation particles. For such scattering media, the scattering phase center height, as measured by SRTM, is a function of tree height, incidence angle, and the extinction coefficient of the medium. The extinction coefficient for uniform tree stands is calculated as a function of tree height and density using allometric equations and a fractal tree model. The accuracy of the proposed algorithm is demonstrated using SRTM and TOPSAR data for 15 red pine and Austrian pine stands (TOPSAR is an airborne interferometric synthetic aperture radar). The algorithm yields root-mean-square (rms) errors of 2.5-3.6 m, which is a substantial improvement over the 6.8-8.3-m rms errors from the raw SRTM minus National Elevation Dataset Heights.

Brown Jr., C G; Sarabandi, K; Pierce, L E

2007-04-06T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay  

E-Print Network [OSTI]

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay , Jason Fordz and John propose a risk-sensitive approach to parameter estimation for hidden Markov models HMMs. The parameter the improvement in estimation simu- lation studies are presented that compare parameter estimation based on risk-sensitive

Moore, John Barratt

162

Radiation Dose Estimates from  

E-Print Network [OSTI]

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air- tantly, what radiation dose people may have received. An independent Technical Steering Panel (TSP, additionalProjectworkcouldresultin revisions of these dose estimates. April 21, 1994 Companion

163

State Energy Production Estimates  

U.S. Energy Information Administration (EIA) Indexed Site

State Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052...

164

Types of Cost Estimates  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

1997-03-28T23:59:59.000Z

165

External Dose Estimates from  

E-Print Network [OSTI]

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure-MQ-003539 March 15, 2000 G-2 #12;Abstract This report provides estimates of the external radiation-62. Estimates are given on a county by county basis for each month from 1953-1972. The average population dose

166

External Dose Estimates from  

E-Print Network [OSTI]

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure. 1, 1999) E-2 #12;Abstract This report provides estimates of the external radiation exposure of this report to: "Prepare crude estimates of the doses from external irradiation received by the American

167

Density Estimation Trees in High Energy Physics  

E-Print Network [OSTI]

Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.

Anderlini, Lucio

2015-01-01T23:59:59.000Z

168

Nonlinear parameter estimation in parallel computing environments  

E-Print Network [OSTI]

This thesis examines issues related to the paralielization of PESTI a parameter estimation code which was originally developed by Dr. A. T. Watson. PEST is based on the trust region implementation of Levenberg-Marquardt nonlinear least square...

Li, Jie

2012-06-07T23:59:59.000Z

169

ONLINE TRAFFIC LIGHT CONTROL THROUGH GRADIENT ESTIMATION USING  

E-Print Network [OSTI]

Infinitesimal Perturbation and Analysis (IPA) but the model we use to derive the #12;IPA estimates developed which is based on IPA (Cassandras et al., 2002). In this approach, we derive estimators

Panayiotou, Christos

170

Crop acreage estimators based on satellite imagery  

E-Print Network [OSTI]

to acknowledge Dr. E. E. Gbur and Dr. L. F. Guseman, Jr. for their willingness to serve on my committee. TABLE OF CONTENTS Page 1. INTRODUCTION. 2. NEED FOR A NEW DECISION PROCESS 2. 1 Description of the Multinomial Decision Process 2. 2 Maximum Likelihood... 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...

Vidart, Stephane

2012-06-07T23:59:59.000Z

171

HSRL mass estimate based on CALIPSO  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

NASA B-200 King Air ARCTASISDAC Operations and Science Richard Ferrare, Chris Hostetler, John Hair, Anthony Cook, David Harper, Mike Obland, Ray Rogers, Sharon Burton, Matt Shupe,...

172

HSRL mass estimate based on CALIPSO  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

OBSERVATIONS FROM THE NASA LANGLEY AIRBORNE HIGH SPECTRAL RESOLUTION LIDAR AND PLANS FOR ACTIVE-PASSIVE AEROSOL-CLOUD RETRIEVALS Chris A. Hostetler, Richard A. Ferrare, John W....

173

Vision-based UAV pose estimation.  

E-Print Network [OSTI]

??The popularity of Unmanned Aerial Vehicles(UAVs) has increased dramatically in the past few decades. The main challenging task for UAVs operation is to find their (more)

Mohajerani, Zahra

2008-01-01T23:59:59.000Z

174

Introduction Estimation paramtrique (exemples)  

E-Print Network [OSTI]

Introduction Estimation paramétrique (exemples) FARMAN : Laboratoire SATIE Jean-Pierre Barbot J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 1/36 #12;Introduction Estimation paramétrique (exemples de paramètres de synchronisation (VDSL 2) J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 2

175

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix H Internal Dose Estimates from Global Fallout H-1 #12;Radiation Dose to the Population. 263-MQ-008090 September 30, 2000 H-2 #12;Radiation Dose to the Population of the Continental United Site Part I. Estimates of Dose Lynn R. Anspaugh Lynn R. Anspaugh, Consulting Salt Lake City, UT Report

176

Estimating Specialty Costs  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

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.

1997-03-28T23:59:59.000Z

177

Building Energy Software Tools Directory: Energy Estimation Software with  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation logo. Energy Estimation Software for Fan and Pumping Applications estimates energy savings achieved when using a variable frequency drive instead of conventional control methods for fan and pumping applications. The results can be viewed in graphical format and text format and the software has built-in functions to generate an energy estimation report especially designed for consultants. The energy estimator software is available in two editions: Single System Edition This edition allows users to estimate energy savings for a single fan or pump system and generate a multi-page report based on the estimated savings. Project Edition This edition allows users to estimate energy savings of a single fan or

178

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

CHP Emissions Reduction Estimator CHP Emissions Reduction Estimator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CHP Emissions Reduction Estimator Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/chp/basic/calculator.html Country: United States UN Region: Northern America CHP Emissions Reduction Estimator Screenshot References: http://www.epa.gov/chp/basic/calculator.html "This Emissions Estimator provides the amount of reduced emissions in terms of pounds of CO2, SO2, and NOX based on input from the User regarding the CHP technology being used. In turn the User will be provided with

179

Standard errors of parameter estimates in the ETAS model  

E-Print Network [OSTI]

1 Standard errors of parameter estimates in the ETAS model Abstract Point process models of seismic catalogs and in short- term earthquake forecasting. The standard errors of parameter estimates of conventional standard error estimates based on the Hessian matrix of the log- likelihood function of the ETAS

Schoenberg, Frederic Paik (Rick)

180

EPA 402-R-93-076 ESTIMATING RADIOGENIC CANCER RISKS  

E-Print Network [OSTI]

comparing health risk estimates due to low level exposures of low-LET radiation based on models recently This document presents a revised methodology for EPA's estimation of cancer risks due to low-LET radiation, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Distributed Robust Power System State Estimation  

E-Print Network [OSTI]

Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

182

Cost Estimating Guide  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

2011-05-09T23:59:59.000Z

183

: Helmholtz machine estimation .  

E-Print Network [OSTI]

: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self

184

Please cite this article in press as: M.M. Rogers, et al., HERO: A smart-phone application for location based emissions estimates, Sustain. Comput.: Inform. Syst. (2014), http://dx.doi.org/10.1016/j.suscom.2014.09.001  

E-Print Network [OSTI]

on a model that estimates air emission rates of user-selected pollutants based on real-time spatially, the generator's efficiency, and installed pollution controls. Just as the demand for electricity and the gen created that provides consumers with real-time information about local air emissions resulting from

Shi, Weisong

185

Oil reservoir properties estimation using neural networks  

SciTech Connect (OSTI)

This paper investigates the applicability as well as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data. This approach relies on JPL`s adjoint operators general purpose neural network code to determine the best suited architecture. The authors believe that results presented in this work demonstrate that artificial neural networks produce surprisingly accurate estimates of the reservoir parameters.

Toomarian, N.B. [California Inst. of Tech., Pasadena, CA (United States); Barhen, J.; Glover, C.W. [Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research; Aminzadeh, F. [UNOCAL Corp., Sugarland, TX (United States)

1997-02-01T23:59:59.000Z

186

Estimating Power System Dynamic States Using Extended Kalman Filter  

SciTech Connect (OSTI)

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.

Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning

2014-10-31T23:59:59.000Z

187

Hybrid Estimation of CMB Polarization Power Spectra  

E-Print Network [OSTI]

This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation. The hybrid power spectrum estimator is unbiased and we show that it is close to optimal at all multipoles, provided the pixel noise satisfies certain reasonable constraints. Furthermore, the hybrid estimator is computationally fast and can easily be incorporated in a Monte-Carlo chain for Planck-sized data sets. Simple formulae are given for the covariance matrices, including instrumental noise, and these are tested extensively against numerical simulations. We compare the behaviour of simple pseudo-Cell estimates with maximum likelihood estimates at low multipoles. For realistic sky cuts, maximum likelihood estimates reduce very significantly the mixing of E and B modes. To achieve limits on the scalar-tensor ratio of r<<0.1 from sky maps with realistic sky cuts, maximum likelihood methods, or pseudo-Cell estimators based on unambiguous E and B modes, will be essential.

G. Efstathiou

2006-01-05T23:59:59.000Z

188

3D pose estimation and segmentation using specular cues  

E-Print Network [OSTI]

We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection and (b) specular flow as cues, which are ...

Raskar, Ramesh

189

Weekly Coal Production Estimation Methodology  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio...

190

Part cost estimation at early design phase  

Science Journals Connector (OSTI)

Abstract Although 70% of part cost is determined during the early design stage, designers rarely accurately estimate the costs of their designs. Based on extensive literature review, in-depth industrial survey and close collaboration with multiple manufacturers, forty factors were identified as governing part cost and ranked according to cost impact. Based on parameter ranking and availability at the early stages of design, a cost estimator for designers is proposed. As the design progresses and more parameters become available, a more accurate cost model is derived and proposed to manufacturers. Results are analyzed and compared to actual manufacturing costing demonstrating good fit.

Gila Molcho; Asher Cristal; Moshe Shpitalni

2014-01-01T23:59:59.000Z

191

REQUESTS FOR RETIREMENT ESTIMATE  

Broader source: Energy.gov (indexed) [DOE]

REQUEST FOR RETIREMENT ANNUITY ESTIMATE REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________ _____________________ Name (last, first, middle) Last four SSN Date of Birth ___________________________ _________________________ __________________________ Organization Office Telephone Number Fax Number

192

A J-integral estimation method for C(T) specimens using the Common Format Equation  

Science Journals Connector (OSTI)

A new $$\\cal J$$ ...estimation scheme based on the Common Format Equation (CFE) is laid out for Compact Tension ( ... ...

U. Mhlich; J. R. Donoso; J. D. Landes

2005-06-01T23:59:59.000Z

193

CNMS UEC Agenda, Monday, August 1, 2012 11:00 am Eastern Daylight Time  

E-Print Network [OSTI]

Haynes, Sandy Lowe, Sean Smith · 2012 User Meeting o Call for abstracts- selection process (preview or on Thursday evening 9/13 instead of during the `lunchtime' mtg o Town Hall meeting must include close

Pennycook, Steve

194

CNMS UEC Agenda, Thursday December 1, 2011 10:00 am Eastern Daylight Time  

E-Print Network [OSTI]

Directors' Mtg 11/8 o Summary and slides were distributed to the committee by Haynes in advance 2 for SHaRE-only that were transferred to SHaRE for their review process; 2 converted to Rapid processing before Feb 1 starts. · Starting in mid-December, we'll be accepting applications for extension

Pennycook, Steve

195

Estimating SCR installation costs  

SciTech Connect (OSTI)

The EUCG surveyed 72 separate US installations of selective catalytic reduction (SCR) systems at coal-fired units totalling 41 GW of capacity to identify the systems' major cost drivers. The results, summarized in this article, provide excellent first-order estimates and guidance for utilities considering installing the downstream emissions-control technology. 4 figs., 1 tab.

Marano, M.; Sharp, G. [American Electric Power (United States)

2006-01-15T23:59:59.000Z

196

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

197

A simple method to estimate interwell autocorrelation  

SciTech Connect (OSTI)

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.

Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)

1997-08-01T23:59:59.000Z

198

Augmenting Satellite Precipitation Estimation with Lightning Information  

SciTech Connect (OSTI)

We have used lightning information to augment the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network - Cloud Classification System (PERSIANN-CCS). Co-located lightning data are used to segregate cloud patches, segmented from GOES-12 infrared data, into either electrified (EL) or non-electrified (NEL) patches. A set of features is extracted separately for the EL and NEL cloud patches. The features for the EL cloud patches include new features based on the lightning information. The cloud patches are classified and clustered using self-organizing maps (SOM). Then brightness temperature and rain rate (T-R) relationships are derived for the different clusters. Rain rates are estimated for the cloud patches based on their representative T-R relationship. The Equitable Threat Score (ETS) for daily precipitation estimates is improved by almost 12% for the winter season. In the summer, no significant improvements in ETS are noted.

Mahrooghy, Majid [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Younan, Nicolas H. [Mississippi State University (MSU); Petersen, Walter A. [NASA Marshall Space Flight Center, Huntsville, AL; Hsu, Kuo-Lin [University of California, Irvine; Behrangi, Ali [Jet Propulsion Laboratory, Pasadena, CA; Aanstoos, James [Mississippi State University (MSU)

2013-01-01T23:59:59.000Z

199

Use of Cost Estimating Relationships  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

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.

1997-03-28T23:59:59.000Z

200

Reinforcing floodrisk estimation  

Science Journals Connector (OSTI)

...publication of the Flood estimation handbook, studies of ood risk are now...especially for its neglect of the physics of catchment pro- cesses of...recommended in the Flood estimation handbook (Institute of Hydrology 1999...estimates. The Flood estimation handbook (Institute of Hydrology 1999...

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Research Summary Estimating Woodfuel Resource Cost Curves  

E-Print Network [OSTI]

and plant based biomass, with the largest proportion (39%) from domestic wood combustion. Objectives utilise an additional 2 million `green' tonnes of wood biomass a year - equivalent to 1 million oven dry, the estimated amount of woodfuel biomass most immediately available from UMW is 12% of the FCE target

202

NPP Estimation for Grasslands  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

NPP for Grasslands NPP for Grasslands Introduction The Oak Ridge DAAC Net Primary Production (NPP) Database includes field measurements from grassland study sites worldwide. The following brief review and discussion is intended to explain the complexity of NPP estimates derived from grassland measurements. There is no single answer to the question, "What is the productivity of the ecosystem at study site A?"; rather there may be range of estimates of NPP, depending upon what data were actually collected and how these data are processed. Although some of these methods for determining NPP for grasslands may be applicable to other vegetation types (e.g., semi-deserts, tundra, or some crops), methods for forests, in particular, are significantly different. Nevertheless, it should be possible to answer the question, "Is this modelled value of NPP reasonable for this ecosystem type at this location?"

203

Assumptions to the Annual Energy Outlook 2013  

U.S. Energy Information Administration (EIA) Indexed Site

Demand Module Demand Module This page inTenTionally lefT blank 27 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing

204

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

205

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

206

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

207

Distribution System State Estimation  

Office of Scientific and Technical Information (OSTI)

these include reactive power management, outage management, loss reduction, demand response, adaptable over-current protection, condition-based maintenance, distributed...

208

Online Vehicle Detection For Estimating Traffic Status  

E-Print Network [OSTI]

We propose a traffic congestion estimation system based on unsupervised on-line learning algorithm. The system does not rely on background extraction or motion detection. It extracts local features inside detection regions of variable size which are drawn on lanes in advance. The extracted features are then clustered into two classes using K-means and Gaussian Mixture Models(GMM). A Bayes classifier is used to detect vehicles according to the previous cluster information which keeps updated whenever system is running by on-line EM algorithm. Experimental result shows that our system can be adapted to various traffic scenes for estimating traffic status.

Lai, Ranch Y Q

2011-01-01T23:59:59.000Z

209

Activity Based Costing  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Activity Based Costing (ABC) is method for developing cost estimates in which the project is subdivided into discrete, quantifiable activities or a work unit. This chapter outlines the Activity Based Costing method and discusses applicable uses of ABC.

1997-03-28T23:59:59.000Z

210

Additional Resources for Estimating Building Energy and Cost Savings to  

Broader source: Energy.gov (indexed) [DOE]

Additional Resources for Estimating Building Energy and Cost Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases October 7, 2013 - 11:06am Addthis For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type. When deciding what resource to use for developing energy- and cost-savings estimates, a program should consider items detailed in Table 1. Table 1.Resources for Estimating Energy Savings Resource Items to consider Advanced Energy Retrofit Guides Based on representative building models of commercial buildings. Guidance available for a limited number of building types using the most common technologies.

211

Variance estimation for radiation analysis and multi-sensor fusion.  

SciTech Connect (OSTI)

Variance estimates that are used in the analysis of radiation measurements must represent all of the measurement and computational uncertainties in order to obtain accurate parameter and uncertainty estimates. This report describes an approach for estimating components of the variance associated with both statistical and computational uncertainties. A multi-sensor fusion method is presented that renders parameter estimates for one-dimensional source models based on input from different types of sensors. Data obtained with multiple types of sensors improve the accuracy of the parameter estimates, and inconsistencies in measurements are also reflected in the uncertainties for the estimated parameter. Specific analysis examples are presented that incorporate a single gross neutron measurement with gamma-ray spectra that contain thousands of channels. The parameter estimation approach is tolerant of computational errors associated with detector response functions and source model approximations.

Mitchell, Dean James

2010-09-01T23:59:59.000Z

212

Battery Calendar Life Estimator Manual Modeling and Simulation  

SciTech Connect (OSTI)

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.

Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

2012-10-01T23:59:59.000Z

213

Component external leakage and rupture frequency estimates  

SciTech Connect (OSTI)

In order to perform detailed internal flooding risk analyses of nuclear power plants, external leakage and rupture frequencies are needed for various types of components - piping, valves, pumps, flanges, and others. However, there appears to be no up-to-date, comprehensive source for such frequency estimates. This report attempts to fill that void. Based on a comprehensive search of Licensee Event Reports (LERs) contained in Nuclear Power Experience (NPE), and estimates of component populations and exposure times, component external leakage and rupture frequencies were generated. The remainder of this report covers the specifies of the NPE search for external leakage and rupture events, analysis of the data, a comparison with frequency estimates from other sources, and a discussion of the results.

Eide, S.A.; Khericha, S.T.; Calley, M.B.; Johnson, D.A.; Marteeny, M.L.

1991-11-01T23:59:59.000Z

214

Kalman Filter Constraint Switching for Turbofan Engine Health Estimation  

E-Print Network [OSTI]

, Estimation, Quadratic Pro- gramming, Residuals, Gas Turbine Engines. 1 Introduction For linear dynamic to constrain the state estimates. The confidence measure is based on the agreement of measurement residuals with their theoretical values. If some measurement residuals are low, and those residuals are highly sensitive to a given

Simon, Dan

215

Distributed Predictive Control and Estimation for Systems with Information  

E-Print Network [OSTI]

constraints and a stationary LQG (Linear Quadratic Gaussian) control law is presented based on the model control and estimation law is demonstrated through a numerical simulation of smart grid. KeywordsDistributed Predictive Control and Estimation for Systems with Information Structures Exemplified

216

Two Applications of Nonparametric Regression in Survey Estimation  

E-Print Network [OSTI]

) Nonparametric model-assisted estimator (b) Utah Forest Survey 4. Specific Inference for Survey Data (a (m) System asp aspect (deg) (GIS) slope slope (deg) hillshd hillshade (solar radiation) N = 67, 216 Moderate generic specific model-assisted model-based Small specific small domain estimation · "Number

217

Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled  

Reports and Publications (EIA)

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.

2000-01-01T23:59:59.000Z

218

Thickness Estimation with Optical Coherence Tomography and Statistical Decision Theory  

Science Journals Connector (OSTI)

We implement a maximum-likelihood (ML) estimator to interpret Optical Coherence Tomography (OCT) data, based on a Fourier-Domain OCT and a two-interface tear film model. We use the...

Huang, Jinxin; Clarkson, Eric; Kupinski, Matthew; Rolland, Jannick P

219

Fact #663: February 21, 2011 Clean Cities Program Petroleum Displacement Estimates for 2009  

Broader source: Energy.gov [DOE]

Each year, estimates are made of the amount of petroleum that is displaced by the efforts of the U.S. Department of Energy's Clean Cities Program. These estimates are based on data provided by...

220

On the Estimation of Lagrangian Diffusivity: Influence of Nonstationary Mean Flow  

Science Journals Connector (OSTI)

Eddymean flow decomposition is crucial to the estimation of Lagrangian diffusivity based on drifter data. Previous studies have shown that inhomogeneous mean flow induces shear dispersion that increases the estimated diffusivity with time. In the ...

Yu-Kun Qian; Shiqiu Peng; Chang-Xia Liang; Rick Lumpkin

2014-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

New Results in Stability, Control, and Estimation of Fractional Order Systems  

E-Print Network [OSTI]

of control and estimation, even for systems where fractional order models do not arise naturally. This dissertation is aimed at further building of the base methodology with a focus on robust feedback control and state estimation. By setting...

Koh, Bong Su

2012-07-16T23:59:59.000Z

222

Assessment of SCaMPR and NEXRAD Q2 Precipitation Estimates Using Oklahoma Mesonet Observations  

Science Journals Connector (OSTI)

Although satellite precipitation estimates provide valuable information for weather and flood forecasts, infrared (IR) brightness temperature (BT)-based algorithms often produce large errors for precipitation detection and estimation during deep ...

Ronald Stenz; Xiquan Dong; Baike Xi; Robert J. Kuligowski

2014-12-01T23:59:59.000Z

223

Retrofit Energy Savings Estimation Model | Open Energy Information  

Open Energy Info (EERE)

Retrofit Energy Savings Estimation Model Retrofit Energy Savings Estimation Model Jump to: navigation, search Tool Summary Name: Retrofit Energy Savings Estimation Model Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: btech.lbl.gov/tools/resem/resem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model[1] Logo: Retrofit Energy Savings Estimation Model RESEM, the Retrofit Energy Savings Estimation Model, is a PC-based tool designed to allow Department of Energy (DOE) Institutional Conservation Program (ICP) staff and participants to reliably determine the energy savings directly caused by ICP-supported retrofit measures implemented in a

224

The effect of missing data on wind resource estimation  

Science Journals Connector (OSTI)

Investment in renewable energy sources requires reliable data. However, meteorological datasets are often plagued by missing data, which can bias energy resource estimates if the missingness is systematic. We address this issue by considering the influence of missing data due to icing of equipment during the winter on the wind resource estimation for a potential wind turbine site in Norway. Using a mean-reverting jump-diffusion (MRJD) process to model electricity prices, we also account for the impact on the expected revenue from a wind turbine constructed at the site. While missing data due to icing significantly bias the wind resource estimate downwards, their impact on revenue estimates is dampened because of volatile electricity spot prices. By contrast, with low-volatility electricity prices, the effect of missing data on revenue estimates is highly significant. The seasonality-based method we develop removes most of the bias in wind resource and revenue estimation caused by missing data.

Aidan Coville; Afzal Siddiqui; Klaus-Ole Vogstad

2011-01-01T23:59:59.000Z

225

Cost estimate of electricity produced by TPV  

Science Journals Connector (OSTI)

A crucial parameter for the market penetration of TPV is its electricity production cost. In this work a detailed cost estimate is performed for a Si photocell based TPV system, which was developed for electrically self-powered operation of a domestic heating system. The results are compared to a rough estimate of cost of electricity for a projected GaSb based system. For the calculation of the price of electricity, a lifetime of 20 years, an interest rate of 4.25% per year and maintenance costs of 1% of the investment are presumed. To determine the production cost of TPV systems with a power of 1220 kW, the costs of the TPV components and 100 EUR kW?1el,peak for assembly and miscellaneous were estimated. Alternatively, the system cost for the GaSb system was derived from the cost of the photocells and from the assumption that they account for 35% of the total system cost. The calculation was done for four different TPV scenarios which include a Si based prototype system with existing technology (?sys = 1.0%), leading to 3000 EUR kW?1el,peak, an optimized Si based system using conventional, available technology (?sys = 1.5%), leading to 900 EUR kW?1el,peak, a further improved system with future technology (?sys = 5%), leading to 340 EUR kW?1el,peak and a GaSb based system (?sys = 12.3% with recuperator), leading to 1900 EUR kW?1el,peak. Thus, prices of electricity from 6 to 25 EURcents kWh?1el (including gas of about 3.5 EURcents kWh?1) were calculated and compared with those of fuel cells (31 EURcents kWh?1) and gas engines (23 EURcents kWh?1).

Gnther Palfinger; Bernd Bitnar; Wilhelm Durisch; Jean-Claude Mayor; Detlev Grtzmacher; Jens Gobrecht

2003-01-01T23:59:59.000Z

226

Guidelines for Estimating Unmetered Landscaping Water Use  

SciTech Connect (OSTI)

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.

McMordie Stoughton, Kate

2010-07-28T23:59:59.000Z

227

Examples of Cost Estimation Packages  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

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.

1997-03-28T23:59:59.000Z

228

5, 30473104, 2005 Estimates of  

E-Print Network [OSTI]

parametrisations, one relating convective preciptation (CP scheme) to lightning flash15 distributionsACPD 5, 3047­3104, 2005 Estimates of lightning NOx production K. F. Boersma et al. Title Page Discussions Estimates of lightning NOx production from GOME satellite observations K. F. Boersma, H. J. Eskes

Paris-Sud XI, Université de

229

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

of accelerometry. An average smart phone contains an inertial sensor and today we hardly leave our home without itEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

Lu?trek, Mitja

230

Development of surface mine cost estimating equations  

SciTech Connect (OSTI)

Cost estimating equations were developed to determine capital and operating costs for five surface coal mine models in Central Appalachia, Northern Appalachia, Mid-West, Far-West, and Campbell County, Wyoming. Engineering equations were used to estimate equipment costs for the stripping function and for the coal loading and hauling function for the base case mine and for several mines with different annual production levels and/or different overburden removal requirements. Deferred costs were then determined through application of the base case depreciation schedules, and direct labor costs were easily established once the equipment quantities (and, hence, manpower requirements) were determined. The data points were then fit with appropriate functional forms, and these were then multiplied by appropriate adjustment factors so that the resulting equations yielded the model mine costs for initial and deferred capital and annual operating cost. (The validity of this scaling process is based on the assumption that total initial and deferred capital costs are proportional to the initial and deferred costs for the primary equipment types that were considered and that annual operating cost is proportional to the direct labor costs that were determined based on primary equipment quantities.) Initial capital costs ranged from $3,910,470 in Central Appalachia to $49,296,785; deferred capital costs ranged from $3,220,000 in Central Appalachia to $30,735,000 in Campbell County, Wyoming; and annual operating costs ranged from $2,924,148 in Central Appalachia to $32,708,591 in Campbell County, Wyoming. (DMC)

Not Available

1980-09-26T23:59:59.000Z

231

Letters of Interest PRICE/COST Estimate Sheet for [Insert LOI...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

(Typed Name) NREL Form (10-5-2000) Letters of Interest PRICECOST Estimate Sheet for Description Base Year Phase Option Year I Phase Option Year...

232

Estimated Annual Net Change in Soil Carbon per US County  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimated Annual Net Change in Soil Carbon per US County These data represent the estimated net change (Megagram per year) in soil carbon due to changes in the crop type and tillage intensity. Estimated accumulation of soil carbon under Conservation Reserve Program (CRP)lands is included in these estimates. Negative values represent a net flux from the atmosphere to the soil; positive values represent a net flux from the soil to the atmosphere. As such, soil carbon sequestration is represented here as a negative value. The method of analysis is based on empirical relationshipsbetween land management and soil carbon. The method for modeling land management and estimating soil carbonchange, used to generate these data, is described in the following publication:

233

Mass Flow Estimation with Model Bias Correction for a Turbocharged Diesel Engine  

E-Print Network [OSTI]

Mass Flow Estimation with Model Bias Correction for a Turbocharged Diesel Engine Tomás Polóni. Based on an augmented observable Mean Value En- gine Model (MVEM) of a turbocharged Diesel engine in the intake duct. Keywords: Diesel engine, Mass flow estimation, Bias estimation, Kalman filtering, Mean value

Johansen, Tor Arne

234

Robust Model-Free Multiclass Probability Estimation Yichao WU, Hao Helen ZHANG, and Yufeng LIU  

E-Print Network [OSTI]

Classical statistical approaches for multiclass probability estimation are typically based on regression classification; SVM. 1. INTRODUCTION Multiclass probability estimation is an important problem in statisticsRobust Model-Free Multiclass Probability Estimation Yichao WU, Hao Helen ZHANG, and Yufeng LIU

Liu, Yufeng

235

CX-011832: Categorical Exclusion Determination | Department of...  

Broader source: Energy.gov (indexed) [DOE]

to purchase equipment owned by Umatilla Electric Cooperative (UEC) within BPA's McNary Substation. BPA already maintains all of UEC's equipment in the substation under an...

236

Microsoft Word - CX_McNaryEquipmentAcquisition.doc  

Broader source: Energy.gov (indexed) [DOE]

to purchase equipment owned by Umatilla Electric Cooperative (UEC) within BPA's McNary Substation. BPA already maintains all of UEC's equipment in the substation under an...

237

ALSNews Vol. 350  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

refreshments will be provided. International Summer School of Crystallography Hamburg, Germany: May 11-17, 2014 UEC Corner The UEC Team for 2014 February 20, 2014: Members of...

238

Reinforcing floodrisk estimation  

Science Journals Connector (OSTI)

...However, most ood-risk estimates support decisions...charac- ter. These are investment decisions, where the...current level of ood risk, making improvements...generated a national ood-risk map with a high political and societal impact...

2002-01-01T23:59:59.000Z

239

Estimation of resources and reserves  

E-Print Network [OSTI]

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 ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

240

Estimates of Savings Achievable from Irrigation Controller  

SciTech Connect (OSTI)

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.

Williams, Alison; Fuchs, Heidi; Whitehead, Camilla Dunham

2014-03-28T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Estimate steam-turbine losses to justify maintenance funds  

SciTech Connect (OSTI)

A procedure to estimate steam-turbine losses is described. The estimates are based on analytical calculations and field inspections of turbines with known performance deterioration resulting from their environment, not their construction. They are, therefore, applicable to many types of steam turbines. Common causes of deterioration are the following: solid particle erosion, deposits, increased clearances, and peening or damage from foreign material. Performance losses due to these factors are analyzed. An example of application is given.

Not Available

1982-05-01T23:59:59.000Z

242

Worm virulence estimation for the containment of local worm outbreak  

Science Journals Connector (OSTI)

A worm-infected host scanning globally may not cause any new infection in its underlying local network before it is detected and quarantined by a worm detector. To defend this type of scanning hosts, a number of worm scanner detection methods such as failed scan detection, honeypot, and dark port detection are proposed. However, for a stealthier worm limiting its scan inside an enterprise network, the chance of a successful local outbreak increases substantively due to the more limited scan space. To protect a local or enterprise network against a local outbreak, we need a coordinated and cost-conscious defense that entails an accurate estimate of worm virulence level. Unfortunately, many existing defense methods suffer from estimating the worm virulence level in a local or enterprise network. In this regard, we propose a maximum likelihood estimator to progressively estimate the size of susceptible host population in the local or enterprise network. From analysis and experimental evaluation, it is shown that the proposed estimator can report a reliable estimate of the size of susceptible population only after a few infections, sometimes only four, much faster than a similar method based on a Kalman filter. Also, based on maximum likelihood estimate, an appropriate containment threshold can be set to effectively stop the worm propagation while causing minimum service disruption to normal network users.

Y.-H. Choi; L. Li; P. Liu; G. Kesidis

2010-01-01T23:59:59.000Z

243

On the empirical statistics of parameter estimates in parametric modeling  

E-Print Network [OSTI]

FOR ESTIMATING HIGHLY DAMPED SINUSOIDAL SIGNALS IN ADDTIVE NOISE Page 4. 1 Introduction 4. 2 Eigenvector Method 4. 3 Weighted Least Squares Estimation of Damped Sinusoids Based on. Noise-Reduced Data 4. 3. 1 Noise Reduction with SVD 4. 3. 2 Weighted Least... Squares Method 4. 3. 3 Experimental Results 55 59 63 63 65 68 V CONCLUSIONS AND POSSIBLE EXTENSIONS REFERENCES 72 VITA 77 LIST OF TABLES Table 2. 1 The sample biases of the parameter estimates using Burg lattice method, in model one...

Zhu, Yao

1988-01-01T23:59:59.000Z

244

Chapter 6 - Subsea Cost Estimation  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides guidelines for cost estimation during a project feasibility study, where the accuracy range is between 30% for subsea field development projects. Subsea cost refers to the cost of the whole project, which generally includes the capital expenditures (CAPEX) and operation expenditures (OPEX) of the subsea field development. The feasibility studies are performed before execution of the project, which may include three phases as shown in the figure: prefield development; conceptual/feasibility study; and front-end engineering design (FEED). Cost estimations are made for several purposes, and the methods used for the estimations as well as the desired amount of accuracy will be different. The cost estimation classifications according to Association for the Advancement of Cost Engineering (AACE): level of project definition: expressed as percentage of complete definition; end usage: typical purpose of estimation; methodology: typical estimating method; expected accuracy range: typical range relative to best index of 1; and preparation effort: typical degree of effort relative to least cost index of 1.

Yong Bai; Qiang Bai

2010-01-01T23:59:59.000Z

245

A study of design oriented cost estimation  

E-Print Network [OSTI]

, embossing, draw- 14 ing, forming and extruding of one inch or less. The value of 5 hours is based on the time taken for the following: 1. machine the unit length using a continuous path wire EDM machine, 2. make the die block, 3. make the punch, 4... Function-Cost Table for the Alternatives for Connecting Gear and Shaft 4. 5 Function-Cost Table for the Check Valve 4. 6 Function-Cost Table for the Gas Damper Assembly. . 69 Al. 1 Spreadsheet Used in Machining Cost Estimation A1. 2 Characterestics...

Raman, Ramchand P.

2012-06-07T23:59:59.000Z

246

ON THE RELIABILITY OF POLARIZATION ESTIMATION USING ROTATION MEASURE SYNTHESIS  

SciTech Connect (OSTI)

We benchmark the reliability of the rotation measure (RM) synthesis algorithm using the 1005 Centaurus A field sources of Feain et al. The RM synthesis solutions are compared with estimates of the polarization parameters using traditional methods. This analysis provides verification of the reliability of RM synthesis estimates. We show that estimates of the polarization parameters can be made at lower signal-to-noise ratio (S/N) if the range of RMs is bounded, but reliable estimates of individual sources with unusual RMs require unconstrained solutions and higher S/N. We derive from first principles the statistical properties of the polarization amplitude associated with RM synthesis in the presence of noise. The amplitude distribution depends explicitly on the amplitude of the underlying (intrinsic) polarization signal. Hence, it is necessary to model the underlying polarization signal distribution in order to estimate the reliability and errors in polarization parameter estimates. We introduce a Bayesian method to derive the distribution of intrinsic amplitudes based on the distribution of measured amplitudes. The theoretically derived distribution is compared with the empirical data to provide quantitative estimates of the probability that an RM synthesis solution is correct as a function of S/N. We provide quantitative estimates of the probability that any given RM synthesis solution is correct as a function of measured polarized amplitude and the intrinsic polarization amplitude compared to the noise.

Macquart, J.-P.; Ekers, R. D. [ICRAR/Curtin University of Technology, Bentley, WA 6845 (Australia); Feain, I. [CSIRO Astronomy and Space Science, P.O. Box 76, Epping, NSW 1710 (Australia); Johnston-Hollitt, M., E-mail: J.Macquart@curtin.edu.au [School of Chemical and Physical Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140 (New Zealand)

2012-05-10T23:59:59.000Z

247

7 - Estimation of Radiation Doses  

Science Journals Connector (OSTI)

Abstract Radiation doses to the Japanese population from inhalation of contaminated air, external irradiation, terrestrial and marine food contamination are estimated and compared with other sources of anthropogenic (global fallout, Chernobyl accident), natural (radionuclides in food, cosmic radiation) and medical applications (X-ray tests, CT-tests, etc.) of ionizing radiation. The estimated doses from inhalation, ingestion of terrestrial and marine food, and radiation exposure from radioactive clouds and deposited radionuclides were generally below the levels which could cause health damage of the Japanese population, as well as of the world population. The estimated total radiation doses to fish and shellfish in coastal waters during the largest radionuclide releases were by a factor of 10 lower than the baseline safe level postulated for the marine organisms, therefore no harmful effects are expected for the marine ecosystem as well.

Pavel P. Povinec; Katsumi Hirose; Michio Aoyama

2013-01-01T23:59:59.000Z

248

Estimated Cost Description Determination Date:  

Broader source: Energy.gov (indexed) [DOE]

and posted 2/10/2011 and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-11 Estimated Schedule (**NEPA Milestones) South Carolina Department of Health and Environmental Control (SCDHEC) issued a National Pollutant Discharge Elimination System (NPDES) Industrial Stormwater General Permit (IGP) # SCR000000 November 12, with an effective date of January

249

Cosmological parameter estimation: impact of CMB aberration  

SciTech Connect (OSTI)

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.

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

250

Estimates of LGBT Public Employees  

E-Print Network [OSTI]

Tinker Air Force Base Arcelormittal Integris Baptist Medical Center Cleveland Clinic Foundation Oklahoma

Sears, Brad; Mallory, Christy; Hunter, Nan D.

2009-01-01T23:59:59.000Z

251

Estimate sequence methods: extensions and approximations  

E-Print Network [OSTI]

Aug 11, 2009 ... Estimate sequence methods: extensions and approximations ... or both, and draw some guidelines on the design of further estimate sequence...

Michel Baes

2009-08-11T23:59:59.000Z

252

BPA Metering Services Editing and Estimating Procedures  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Editing and Estimating Interval Data 1. Introduction This section defines the meter interval data editing and estimation techniques performed by BPA's Metering Services...

253

ORISE: Radiation Dose Estimates and Other Compendia  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

downloaded free from the Adobe website. Early Internal and External Dose Magnitude Estimation (PDF) This article addresses methods that can be used to rapidly estimate internal...

254

Mississippi Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Mississippi Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

255

California Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) California Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

256

Pennsylvania Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Pennsylvania Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

257

Estimating Waste Inventory and Waste Tank Characterization |...  

Office of Environmental Management (EM)

Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue...

258

GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process  

Broader source: Energy.gov (indexed) [DOE]

GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define program characteristics In a technical baseline description document, identify the program's

259

Cost Estimates for New Molecules  

Science Journals Connector (OSTI)

Cost Estimates for New Molecules ... Once this has been carried out, the projected cost/kilogram for the new drug substance (if only raw material costs and no manufacturing/overhead/labour costs are considered) may well come down by a factor of 10 or even 100, and this is often more acceptable to management trying to make strategic decisions about potential profitability. ...

Trevor Laird

2005-02-22T23:59:59.000Z

260

Trades Estimate Guide September, 2013  

E-Print Network [OSTI]

labor hours are provided using "industry standard" hours. Each trade has an hourly recharge rate. Here are a few examples of why our shops estimates may be considered high. HVAC & SHEET METAL · In the HVAC area. This work can include: required engineering and design, new HVAC equipment to accommodate design

Rose, Michael R.

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS  

E-Print Network [OSTI]

Chapter 1 ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS: RANDOMIZED VS. DETERMINISTIC ALGORITHMS difficult or even impossible to directly measure the quantity in which we are interested: e.g., we cannot directly measure a distance to a distant galaxy or the amount of oil in a given well. Since we cannot

Kreinovich, Vladik

262

2012 Proved Reserves Estimation Methodology  

U.S. Energy Information Administration (EIA) Indexed Site

-366 11,933 Estimated 818 124 759 0 0 19 0 0 236 1,693 1,658 Imputation for nonresponse Unit and item nonresponse on the EIA-23 is imputed for using the same ratio function that is...

263

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED  

E-Print Network [OSTI]

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED TOMOGRAPHY DATA A. López (a) , R. Molina (b) (a limited due to several factors. These factors include the need of greater computational time than to the projection data to obtain two-dimensional slices or cross sections (images) of activity distribution. #12

Granada, Universidad de

264

Enhancement of satellite precipitation estimation via unsupervised dimensionality reduction  

SciTech Connect (OSTI)

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.

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

265

An Estimate of Biofilm Properties using an Acoustic Microscope  

SciTech Connect (OSTI)

Noninvasive measurements over a biofilm, a three-dimensional community of microorganisms immobilized at a substratum, were made using an acoustic microscope operating at frequencies up to 70 MHz. Spatial variation of surface heterogeneity, thickness, interior structure, and biomass of a living biofilm was estimated over a 2.5-mm by 2.5-mm region. Ultrasound based estimates of thickness were corroborated using optical microscopy and the nominal biofilm thickness was 100 microns. Experimental data showed that the acoustic microscope combined with signal processing was capable of imaging and making quantitative estimates of the spatial distribution of biomass within the biofilm. The revealed surface topology and interior structure of the biofilm provide data for use in advanced biofilm mass transport models. The experimental acoustic and optical systems, methods to estimate of biofilm properties and potential applications for the resulting data are discussed.

Good, Morris S.; Wend, Christopher F.; Bond, Leonard J.; Mclean, Jeffrey S.; Panetta, Paul D.; Ahmed, Salahuddin; Crawford, Susan L.; Daly, Don S.

2006-09-01T23:59:59.000Z

266

Augmenting Inertial Navigation with Image-Based Motion Estimation  

E-Print Network [OSTI]

. Johnson and James F. Montgomery1 Abstract Numerous upcoming NASA misions need to land safely and precisely's roadmap for solar system exploration is filled with missions that require landing on planets, moons, comets and asteroids. Each mission has its own criteria for suc- cess, but all will require some level

Roumeliotis, Stergios I.

267

Gradient-Based Distance Estimation for Spatial Computers  

Science Journals Connector (OSTI)

......the reduced width area, the average gradient value Gout avg and the SMG value Gout si are shown using Equation (12) and (13). If...Gin si as shown using Equation (14) and (15). Gout avg = nl (a - 1) + nl a + nl (a + 1) nl = a......

Qingzhi Liu; Andrei Pruteanu; Stefan Dulman

2013-12-01T23:59:59.000Z

268

ASTRAL: genome-scale coalescent-based species tree estimation  

Science Journals Connector (OSTI)

......statistically consistent, can run on datasets with thousands of genes and...com/smirarab/ASTRAL/ . Datasets studied in this article are...diversification according to the long nuclear gene rag-1. Syst. Biol...Identifying localized biases in large datasets: a case study using the avian......

S. Mirarab; R. Reaz; Md. S. Bayzid; T. Zimmermann; M. S. Swenson; T. Warnow

2014-09-01T23:59:59.000Z

269

Estimating farm machinery complements based on cropmix and farm size  

E-Print Network [OSTI]

Machinery complement information is used in farm simulation models such as the FLIPSIM model when studying of the impacts of agricultural policies on representative farms. Since acquiring machinery complement data for FLIPSIM simulations is a...

Barrera, Anna Marie

1993-01-01T23:59:59.000Z

270

An Analogy Based Method for Freight Forwarding Cost Estimation  

E-Print Network [OSTI]

30 Figure 6. Normalized oil price and freight cost perprices (Figure 6. Normalized oil price and freight cost perof information on rising oil prices in popular culture and

Straight, Kevin Andrew

2014-01-01T23:59:59.000Z

271

hal00270908, A leave-p-out based estimation  

E-Print Network [OSTI]

(FDR) and #25;0 , many multiple testing procedures (MTP) designed to control the FDR may be improved are testing each of m hypotheses at level 0 positive (e hypotheses Alain CELISSE St#19;ephane ROBIN July 2007 Abstract In the multiple testing context, a challenging

Paris-Sud XI, Université de

272

Spectral-Based Illumination Estimation and Color Correction  

E-Print Network [OSTI]

address: Department of Information Technology, Lappeenranta University of Technology, P.O. Box 20, Fin-53851 Lappeenranta, Finland * Correspondence to: R. Lenz, Department of Science and Engineering, Campus

273

CS decomposition based Bayesian subspace estimation Olivier Besson  

E-Print Network [OSTI]

, Department Electronics Optronics Signal, Toulouse (e- mail: olivier.besson@isae.fr). The work of O. Besson

Dobigeon, Nicolas

274

Clutter-Based Evaporation Duct Estimation Performance Using Meteorological Statistics  

E-Print Network [OSTI]

of California, Mediterranean, Persian Gulf, and Coast of Brazil. The effects of the radar frequency (S, C, and X, such as the Mediterranean, Persian Gulf, East China Sea, and California Coast, atmospheric ducts are common occurrences

Gerstoft, Peter

275

A Fast Moving Horizon Estimation Algorithm Based on Nonlinear ...  

E-Print Network [OSTI]

At the next sampling time tk+1, we get the new measurement y(k + 1) and ...... We add two disturbances on the activation energy Ea to test the robust ... evolution of these states can be described by material balances around each plant unit,.

2008-02-19T23:59:59.000Z

276

Fuzzy logic based ELF magnetic field estimation in substations  

Science Journals Connector (OSTI)

......field strength in a combined cycle gas turbine power station were described...Sebo S. A., Caldecott R. Development of a computer program for modeling...buildings. (1995) Stockholm Power Technology Conference, 18-22 June. Stockholm......

Ilhan Kosalay

2008-08-01T23:59:59.000Z

277

Model-based Estimation and Inference Procedures for Clock Synchronization  

E-Print Network [OSTI]

the Freund distribution .. 99 5.2 ReliabilityReliability block diagram for the Marshall-Olkin distributionexponential distribution. In the field reliability, there is

Pettyjohn, Jeffrey Stuart

2010-01-01T23:59:59.000Z

278

Optimal phase estimation with arbitrary a priori knowledge  

SciTech Connect (OSTI)

The optimal-phase estimation strategy is derived when partial a priori knowledge on the estimated phase is available. The solution is found with the help of the most famous result from the entanglement theory: the positive partial transpose criterion. The structure of the optimal measurements, estimators, and the optimal probe states is analyzed. This Rapid Communication provides a unified framework bridging the gap in the literature on the subject which until now dealt almost exclusively with two extreme cases: almost perfect knowledge (local approach based on Fisher information) and no a priori knowledge (global approach based on covariant measurements). Special attention is paid to a natural a priori probability distribution arising from a diffusion process.

Demkowicz-Dobrzanski, Rafal [Faculty of Physics, University of Warsaw, ul. Hoza 69, PL-00-681 Warszawa (Poland)

2011-06-15T23:59:59.000Z

279

Statistical error in a chord estimator of correlation dimension: The ``rule of five``  

SciTech Connect (OSTI)

The statistical precision of a chord method for estimating dimension from a correlation integral is derived. The optimal chord length is determined, and a comparison is made to other estimators. The simple chord estimator is only 25% less precise than the optimal estimator which uses the full resolution and full range of the correlation integral. The analytic calculations are based on the hypothesis that all pairwise distances between the points in the embedding space are statistically independent. The adequacy of this approximation is assessed numerically, and a surprising result is observed in which dimension estimators can be anomalously precise for sets with reasonably uniform (nonfractal) distributions.

Theiler, J. [Los Alamos National Lab., NM (United States); Lookman, T. [University of Western Ontario, London, ON (Canada). Dept. of Applied Mathematics

1992-09-01T23:59:59.000Z

280

Statistical error in a chord estimator of correlation dimension: The rule of five''  

SciTech Connect (OSTI)

The statistical precision of a chord method for estimating dimension from a correlation integral is derived. The optimal chord length is determined, and a comparison is made to other estimators. The simple chord estimator is only 25% less precise than the optimal estimator which uses the full resolution and full range of the correlation integral. The analytic calculations are based on the hypothesis that all pairwise distances between the points in the embedding space are statistically independent. The adequacy of this approximation is assessed numerically, and a surprising result is observed in which dimension estimators can be anomalously precise for sets with reasonably uniform (nonfractal) distributions.

Theiler, J. (Los Alamos National Lab., NM (United States)); Lookman, T. (University of Western Ontario, London, ON (Canada). Dept. of Applied Mathematics)

1992-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Indirect Estimation of Radioactivity in Containerized Cargo  

SciTech Connect (OSTI)

Detecting illicit nuclear and radiological material in containerized cargo challenges the state of the art in detection systems. Current systems are being evaluated and new systems envisioned to address the need for the high probability of detection and extremely low false alarm rates necessary to thwart potential threats and extremely low nuisance and false alarm rates while maintaining necessary to maintain the flow of commerce impacted by the enormous volume of commodities imported in shipping containers. Maintaining flow of commerce also means that primary inspection must be rapid, requiring relatively indirect measurements of cargo from outside the containers. With increasing information content in such indirect measurements, it is natural to ask how the information might be combined to improved detection. Toward this end, we present an approach to estimating isotopic activity of naturally occurring radioactive material in cargo grouped by commodity type, combining container manifest data with radiography and gamma spectroscopy aligned to location along the container. The heart of this approach is our statistical model of gamma counts within peak regions of interest, which captures the effects of background suppression, counting noise, convolution of neighboring cargo contributions, and down-scattered photons to provide physically constrained estimates of counts due to decay of specific radioisotopes in cargo alone. Coupled to that model, we use a mechanistic model of self-attenuated radiation flux to estimate the isotopic activity within cargo, segmented by location within each container, that produces those counts. We demonstrate our approach by applying it to a set of measurements taken at the Port of Seattle in 2006. This approach to synthesizing disparate available data streams and extraction of cargo characteristics holds the potential to improve primary inspection using current detection capabilities and to enable simulation-based evaluation of new candidate detection systems.

Jarman, Kenneth D.; Scherrer, Chad; Smith, Eric L.; Chilton, Lawrence; Anderson, K. K.; Ressler, Jennifer J.; Trease, Lynn L.

2011-01-01T23:59:59.000Z

282

UEC Conference Call Minutes, Wednesday, January 6, 2010 12:00 noon 1:00 pm EST  

E-Print Network [OSTI]

. A meeting on Solar Energy and Energy Storage Challenges and Opportunities will be held at Oak Ridge opportunities for collaboration with ORNL researchers in the areas of Solar Energy and Energy Storage on two research areas, solar energy and energy storage, that have been identified by the U.S. Department

Pennycook, Steve

283

Error estimation and adaptive mesh refinement for aerodynamic flows  

E-Print Network [OSTI]

Error estimation and adaptive mesh refinement for aerodynamic flows Ralf Hartmann, Joachim Held-oriented mesh refinement for single and multiple aerodynamic force coefficients as well as residual-based mesh refinement applied to various three-dimensional lam- inar and turbulent aerodynamic test cases defined

Hartmann, Ralf

284

Position estimator for a brushless-DC machine  

E-Print Network [OSTI]

of machine a powerful alternative for electric vehicles (EVs) and HEVs applications (Chan and Chau, 1997 application is for a hybrid electric vehicle, where the generator will be used as a motor to start electric vehicle (EV). The first one uses an estimation method based on core saturation and the second one

Catholic University of Chile (Universidad Católica de Chile)

285

Direct estimation of Patlak parameters from list mode pet data  

Science Journals Connector (OSTI)

We describe a method to directly estimate Patlak parameters from list mode data. Based on the Patlak model, the uptake rate function of each voxel can be written as a linear combination of the blood input function and its integral, with the slope and ... Keywords: FDG PET, PET, incremental gradient, list mode, the Patlak Model

Quanzheng Li; Richard M. Leahy

2009-06-01T23:59:59.000Z

286

Ring current intensity estimated from low-altitude proton observations  

E-Print Network [OSTI]

. Oksavik Department of Physics, University of Bergen, Bergen, Norway D. S. Evans NOAA Space Environment as a proxy for estimating the energy injection rate into the ring current (RC) due to energetic protons. The injection rate Q(t) is not based upon solar wind parameters but directly on the observed proton

Bergen, Universitetet i

287

Measurement enhancement for state estimation  

E-Print Network [OSTI]

, the control center receives the system-wide device information and measurement data through the Supervisory Control and Data Acquisition (SCADA) system. However, the information and measurement data provided by SCADA may not always be accurate and reliable... estimation use the measurement data from SCADA system, the status information about the circuit breakers (CB), switches and transformer taps, as well as the parameters of transmission lines, transformers, shunts capacitors/reactors and other devices...

Chen, Jian

2009-05-15T23:59:59.000Z

288

Solar sky radiation estimation techniques  

SciTech Connect (OSTI)

Empirical correlations suggested by various authors, for estimating monthly mean daily diffuse irradiation, are compared statistically to test their applicability to the southern African region. The correlations are compared by calculating root mean square error, mean bias error and mean percentage error. The correlations suggested by Gopinathan and Gladius Lewis are found to be most accurate for the southern African region. Equations suggested by Iqbal give poor results and cannot be employed for the region.

Gopinathan, K.K. (National Univ. of Lesotho, Roma (South Africa))

1992-07-01T23:59:59.000Z

289

Wind speed estimation using multilayer perceptron  

Science Journals Connector (OSTI)

Abstract Wind speed knowledge is prerequisite in the siting of wind turbines. In consequence the wind energy use requires meticulous and specified knowledge of the wind characteristics at a location. This paper presents a method for determining the annual average wind speed at a complex terrain site by using neural networks, when only short term data are available for that site. This information is useful for preliminary calculations of the wind resource at a remote area having only a short time period of wind measurements measurement in a site. Artificial neural networks are useful for implementing non-linear process variables over time, and therefore are a useful tool for estimating the wind speed. The neural network used is multilayer perceptron with three layers and the supervised learning algorithm used is backpropagation. The inputs used in the neural network were wind speed and direction data from a single station, and the training patterns used correspond to sixty days data. The results obtained by simulating the annual average wind speed at the selected site based on data from nearby stations with correlation coefficients above 0.5 were satisfactory, compared with actual values. Reliable estimations were obtained, with errors below 6%.

Ramn Velo; Paz Lpez; Francisco Maseda

2014-01-01T23:59:59.000Z

290

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Status Report - Savings Estimates for the ENERGY STAR Voluntary Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Date Published 11/2007 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2008) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR includes more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2007, what we expect in 2008, and provide savings forecasts for the periods 2008 to 2015 and 2008 to 2025. The forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic ENERGY STAR unit sales for each of the products.

291

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

292

Estimation of Density of Biodiesel  

Science Journals Connector (OSTI)

In addition, the numeric value for coefficient e is very small (?0.00001) and the nd(ave) of most biodiesels are not greater than 2. Therefore, the product of e nd(ave) can be neglected without affecting the accuracy of the calculation and eq 30 is good for estimation of density of biodiesel. ... Interestingly, the %AAD for mixed biodiesel (0.38) is lower than those of pure (0.41%) and total biodiesels. ... (21) The model cannot differentiate a mixed biodiesel from pure biodiesels. ...

Suriya Phankosol; Kaokanya Sudaprasert; Supathra Lilitchan; Kornkanok Aryusuk; Kanit Krisnangkura

2014-06-16T23:59:59.000Z

293

STATE ESTIMATION AND THE MEANING The discipline of the scholar is a consecration to the pursuit of the truth.  

E-Print Network [OSTI]

with the things of God. Optimal State Estimation, First Edition. By Dan J. Simon ISBN 0471708585 c 2006 John Wiley, and other subatomic particles. Similarly, on a superficial level it appears that state estimation estimation is based on mathematical truth. · God created the universe and all that is in it. This includes

Simon, Dan

294

Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant  

DOE Patents [OSTI]

System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.

Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa

2013-09-17T23:59:59.000Z

295

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation  

E-Print Network [OSTI]

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation Chapter 3 University of Amsterdam #12;Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information

Dorst, Leo

296

Prophylactic radiotherapy against heterotopic ossification following internal fixation of acetabular fractures: a comparative estimate of risk  

E-Print Network [OSTI]

on quality of life. Estimating risk from RT A method to estimate the risk of fatal radiation-induced malignancy over the lifetime of the patient is provided by the International Commission on Radiological Protection (ICRP) [25]. It is based largely... on epidemiological studies of individuals exposed to whole body low dose irradiation, particularly survivors at Hiroshima and Nagasaki, and provides an estimate of global population risk, irrespective of age. However, this is designed explicitly for use...

Burnet, N. G.; Nasr, P.; Yip, G.; Scaife, J. E.; House, T.; Thomas, S. J.; Harris, F.; Owen, P. J.; Hull, P.

2014-09-08T23:59:59.000Z

297

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network [OSTI]

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory% postconsumer waste #12;i Independent Review Panel Summary Report September 28, 2011 From: Independent Review Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE

298

Harmonizing Systems and Software Cost Estimation  

E-Print Network [OSTI]

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 ...

Wang, Gan

2009-07-19T23:59:59.000Z

299

On coherence in parametric density estimation  

Science Journals Connector (OSTI)

......1990 research-article Miscellanea On coherence in parametric density estimation J...KullbackLeibler directed divergence has this coherence property whereas the corresponding symmetric...estimation is also discussed. Admissibility|Coherence|Kullback-Leibler divergence|Predictive......

J. AITCHISON

1990-12-01T23:59:59.000Z

300

Estimating UV Index Climatology over Canada  

Science Journals Connector (OSTI)

Hourly UV index values at 45 sites in Canada were estimated using a statistical relationship between UV irradiance and global solar radiation, total ozone, and dewpoint temperature. The estimation method also takes into account the enhancement of ...

V. E. Fioletov; J. B. Kerr; L. J. B. McArthur; D. I. Wardle; T. W. Mathews

2003-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

E-Print Network 3.0 - activity based costing Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

based costing Page: << < 1 2 3 4 5 > >> 1 Generating and Maintaining Activity-based Cost Estimates with Feature-Based Product Models Summary: 1 Generating and Maintaining...

302

Cost Model and Cost Estimating Software  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

1997-03-28T23:59:59.000Z

303

Estimation of Fuel Use by Idling Commercial Trucks  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimation of Fuel Use Estimation of Fuel Use by Idling Commercial Trucks Estimation of Fuel Use by Idling Commercial Trucks TRB 85 th Annual Meeting Washington, DC January 22-26, 2006 Linda Gaines, Anant Vyas, and John L. Anderson 2 Trucks are classified into 8 classes Based on gross vehicle weight (GVW) - Includes empty vehicle plus cargo - Classes formulated >50 years ago Classes 1 and 2 include commercial and personal vehicles - Our analysis removes personal vehicles - Commercial uses include service and retail, construction, agriculture, manufacturing - Class 2 is divided into 2A and 2B (>8,500 lbs.) Single unit (SU) trucks cover classes 1-8 - Flatbed, pickup, dump, van dominate Combination (C) trucks are in classes 6-8 - About half have sleepers * Travel long distances * Driver often sleeps in truck

304

Statistical Exposure Estimation Spatial Confounding Bias  

E-Print Network [OSTI]

, and 3 Account for spatial correlation in the health outcome data. Applications include air pollution Epidemiology Estimates of chronic health effects of air pollution are identified from cross-sectional (i Exposure Estimation Methods for Air Pollution Often researchers estimate ambient concentrations and use

Paciorek, Chris

305

Risk Estimation; Background Radiation (Natural and Artificial )  

E-Print Network [OSTI]

-threshold mode estimate the response at lower doses. · The Committee on Biological Effects of Ionizing RadiationModule 9 Risk Estimation; Background Radiation (Natural and Artificial ) · sources of background radiation · various risk models. · estimating risk and on the sources of background radiation, both

Massey, Thomas N.

306

Estimated Ultraviolet Radiation Doses in Wetlands in  

E-Print Network [OSTI]

Estimated Ultraviolet Radiation Doses in Wetlands in Six National Parks Stephen A. Diamond,1 ABSTRACT Ultraviolet-B radiation (UV-B, 280­320-nm wave- lengths) doses were estimated for 1024 wetlands of vegetative features, and quantification of DOC concentration and spectral absorbance. UV-B dose estimates

Knapp, Roland

307

Training Signal Design for Estimation of Correlated MIMO Channels with Colored  

E-Print Network [OSTI]

Training Signal Design for Estimation of Correlated MIMO Channels with Colored Interference Yong error (MMSE) channel estimator is derived and the optimal training sequences are designed based in the construction of the optimal training sequences. We also design an efficient scheme to feed back the required

Hager, William

308

Economic Burden of Cancer in the United States: Estimates, Projections, and Future Research  

Science Journals Connector (OSTI)

...and then combined with human capital or WTP estimates of the value...the employment-based human capital method. As expected, the...productivity valued with the human capital approach is estimated to increase...surveys [e.g., Medical Expenditure Panel Survey (MEPS)] and...

K. Robin Yabroff; Jennifer Lund; Deanna Kepka; and Angela Mariotto

2011-10-01T23:59:59.000Z

309

Estimated Cost Description Determination Date:  

Broader source: Energy.gov (indexed) [DOE]

Title, Location Title, Location Estimated Cost Description Determination Date: 2010 LCLS Undulator 2 is envisioned to be a 0.2 - 2keV FEL x-ray source, capable of delivering x-rays to End Station A (ESA), located in the existing Research Yard at SLAC. It will also be configurable as a non- FEL hard x-ray source capable of delivering a chirped x-ray pulse for single-shot broad-spectrum measurements. The project would entail reconstruction of the electron beam transport to End Station A, construction and installation of a new undulator in the tunnel upstream of ESA and beam dump, and construction and installation of x-ray transport, optics, and diagnostics in ESA. It also includes the construction of an annex to End Station A , providing hutches for experiment stations.

310

Atmospheric Inverse Estimates of Methane Emissions from Central California  

SciTech Connect (OSTI)

Methane mixing ratios measured at a tall-tower are compared to model predictions to estimate surface emissions of CH{sub 4} in Central California for October-December 2007 using an inverse technique. Predicted CH{sub 4} mixing ratios are calculated based on spatially resolved a priori CH{sub 4} emissions and simulated atmospheric trajectories. The atmospheric trajectories, along with surface footprints, are computed using the Weather Research and Forecast (WRF) coupled to the Stochastic Time-Inverted Lagrangian Transport (STILT) model. An uncertainty analysis is performed to provide quantitative uncertainties in estimated CH{sub 4} emissions. Three inverse model estimates of CH{sub 4} emissions are reported. First, linear regressions of modeled and measured CH{sub 4} mixing ratios obtain slopes of 0.73 {+-} 0.11 and 1.09 {+-} 0.14 using California specific and Edgar 3.2 emission maps respectively, suggesting that actual CH{sub 4} emissions were about 37 {+-} 21% higher than California specific inventory estimates. Second, a Bayesian 'source' analysis suggests that livestock emissions are 63 {+-} 22% higher than the a priori estimates. Third, a Bayesian 'region' analysis is carried out for CH{sub 4} emissions from 13 sub-regions, which shows that inventory CH{sub 4} emissions from the Central Valley are underestimated and uncertainties in CH{sub 4} emissions are reduced for sub-regions near the tower site, yielding best estimates of flux from those regions consistent with 'source' analysis results. The uncertainty reductions for regions near the tower indicate that a regional network of measurements will be necessary to provide accurate estimates of surface CH{sub 4} emissions for multiple regions.

Zhao, Chuanfeng; Andrews, Arlyn E.; Bianco, Laura; Eluszkiewicz, Janusz; Hirsch, Adam; MacDonald, Clinton; Nehrkorn, Thomas; Fischer, Marc L.

2008-11-21T23:59:59.000Z

311

Site characterization: a spatial estimation approach  

SciTech Connect (OSTI)

In this report the application of spatial estimation techniques or kriging to groundwater aquifers and geological borehole data is considered. The adequacy of these techniques to reliably develop contour maps from various data sets is investigated. The estimator is developed theoretically in a simplified fashion using vector-matrix calculus. The practice of spatial estimation is discussed and the estimator is then applied to two groundwater aquifer systems and used also to investigate geological formations from borehole data. It is shown that the estimator can provide reasonable results when designed properly.

Candy, J.V.; Mao, N.

1980-10-01T23:59:59.000Z

312

Incremental condition estimation for sparse matrices  

SciTech Connect (OSTI)

Incremental condition estimation provides an estimate for the smallest singular value of a triangular matrix. In particular, it gives a running estimate of the smallest singular value of a triangular factor matrix as the factor is generated one column or row at a time. An incremental condition estimator for dense matrices was originally suggested by Bischof. In this paper this scheme is generalized to handle sparse triangular matrices, especially those that are factors of sparse matrices. Numerical experiments on a variety of matrices demonstrate the reliability of this scheme in estimating the smallest singular value. A partial description of its implementation in a sparse matrix factorization code further illustrates its practicality.

Bischof, C.H. (Argonne National Lab., IL (United States)); Lewis, J.G.; Pierce, D.J. (Boeing Computer Servies, Seattle, WA (United States))

1990-10-01T23:59:59.000Z

313

Precipitation Estimates from MSG SEVIRI Daytime, Nighttime, and Twilight Data with Random Forests  

Science Journals Connector (OSTI)

In the present study, a new rainfall retrieval technique to determine rainfall rates in a continuous manner (day, twilight and night) resulting in a 24-hour estimation applicable to mid-latitudes is presented. The approach is based on satellite-...

Meike Khnlein; Tim Appelhans; Boris Thies; Thomas Nau

314

Six degrees of freedom estimation using monocular vision and moir patterns  

E-Print Network [OSTI]

We present the vision-based estimation of the position and orientation of an object using a single camera relative to a novel target that incorporates the use of moire patterns. The objective is to acquire the six degree ...

Tournier, Glenn P. (Glenn Paul)

2006-01-01T23:59:59.000Z

315

Using terrestrial laser scanner for estimating leaf areas of individual trees in a conifer forest  

Science Journals Connector (OSTI)

A method that applies the terrestrial laser scanning to estimate leaf areas of individual trees in a mature conifer forest is presented. It is based on the...Picea abies [L.] Karst.) stand located in southern Bav...

Peng Huang; Hans Pretzsch

2010-08-01T23:59:59.000Z

316

The Essentials of Preparing Cost Estimates Yielding Long-Run Profitability  

E-Print Network [OSTI]

appropriately. The five primary cost estimating methods are:(Garrett 2008) 1. Analogy Method: This approach is based on using historical data from similar projects in the past. The advantages of using this method are that it can be used early in project... (WBS) and includes all overhead and fees added to material cost and labor hours. Essentials of Winning Cost Estimates Cost estimating is an inexact practice, a blend of art and science and, therefore, full of risk.(Garrett 2008) Yet an estimate...

Khan, Sadia

2010-05-14T23:59:59.000Z

317

Electromechanical Mode Online Estimation using Regularized Robust RLS Methods  

SciTech Connect (OSTI)

This paper proposes a regularized robust recursive least square (R3LS) method for on-line estimation of power-system electromechanical modes based on synchronized phasor measurement unit (PMU) data. The proposed method utilizes an autoregressive moving average exogenous (ARMAX) model to account for typical measurement data, which includes low-level pseudo-random probing, ambient, and ringdown data.? A robust objective function is utilized to reduce the negative influence from non-typical data, which include outliers and missing data. A dynamic regularization method is introduced to help include a priori knowledge about the system and reduce the influence of under-determined problems. Based on a 17-machine simulation model, it is shown through the Monte-Carlo method that the proposed R3LS method can estimate and track electromechani-cal modes by effectively using combined typical and non-typical measurement data.

Zhou, Ning; Trudnowski, Daniel; Pierre, John W.; Mittelstadt, William

2008-11-01T23:59:59.000Z

318

PURDUE EXTENSION Estimating Breakeven Sales  

E-Print Network [OSTI]

, based on price and sales forecasts? · How low must fixed costs be to break even? · How sensitive, packaging, and energy costs (fuel, electricity, natural gas) associated with #12;2 Purdue Extension and special offers) by the number of units you expect to sell. If you have created a sales forecast as part

319

IMPROVED MMSE-BASED NOISE PSD TRACKING USING TEMPORAL CEPSTRUM Timo Gerkmann  

E-Print Network [OSTI]

, The Netherlands r.c.hendriks@tudelft.nl ABSTRACT Recently, it has been shown that MMSE-based noise power estima-based approaches. The MMSE-based approach employs two estimates of the speech power to estimate the unbiased noise power. In this work, we improve the MMSE-based noise power estimator by employing a more advanced

320

Numerical estimation of the relative entropy of entanglement  

SciTech Connect (OSTI)

We propose a practical algorithm for the calculation of the relative entropy of entanglement (REE), defined as the minimum relative entropy between a state and the set of states with positive partial transpose. Our algorithm is based on a practical semidefinite cutting plane approach. In low dimensions the implementation of the algorithm in matlab provides an estimation for the REE with an absolute error smaller than 10{sup -3}.

Zinchenko, Yuriy [Department of Mathematics and Statistics, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4 (Canada); Friedland, Shmuel [Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, 851 S. Morgan Street, Chicago, Illinois 60607-7045 (United States); Gour, Gilad [Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, 851 S. Morgan Street, Chicago, Illinois 60607-7045 (United States); Institute for Quantum Information Science, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4 (Canada)

2010-11-15T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Improved dose estimates for nuclear criticality accidents  

SciTech Connect (OSTI)

Slide rules are improved for estimating doses and dose rates resulting from nuclear criticality accidents. The original slide rules were created for highly enriched uranium solutions and metals using hand calculations along with the decades old Way-Wigner radioactive decay relationship and the inverse square law. This work uses state-of-the-art methods and better data to improve the original slide rules and also to extend the slide rule concept to three additional systems; i.e., highly enriched (93.2 wt%) uranium damp (H/{sup 235}U = 10) powder (U{sub 3}O{sub 8}) and low-enriched (5 wt%) uranium mixtures (UO{sub 2}F{sub 2}) with a H/{sup 235}U ratio of 200 and 500. Although the improved slide rules differ only slightly from the original slide rules, the improved slide rules and also the new slide rules can be used with greater confidence since they are based on more rigorous methods and better nuclear data.

Wilkinson, A.D.; Basoglu, B.; Bentley, C.L.; Dunn, M.E.; Plaster, M.J.; Dodds, H.L. [Univ. of Tennessee, Knoxville, TN (United States). Nuclear Engineering Dept.; Haught, C.F. [Martin Marietta Utility Systems, Piketon, OH (United States); Yamamoto, T. [Japan Atomic Energy Research Inst., Tokai (Japan). Tokai Research Establishment; Hopper, C.M. [Oak Ridge National Lab., TN (United States)

1995-08-01T23:59:59.000Z

322

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 Status Report - Savings Estimates for the ENERGY STAR Voluntary 7 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 38 Date Published 03/2007 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2007) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR® is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2006, what we expect in 2007, and provide savings forecasts for two market penetration scenarios for the periods 2007 to 2015 and 2007 to 2025. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

323

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 Status Report - Savings Estimates for the ENERGY STAR Voluntary 5 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 35 Date Published 03/2006 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2005) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), Energy Star labels exist for more than forty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2004, what we expect in 2005, and provide savings forecasts for two market penetration scenarios for the periods 2005 to 2010 and 2005 to 2020. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

324

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6 Status Report - Savings Estimates for the ENERGY STAR Voluntary 6 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 38 Date Published March 2006 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2006) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR® is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2005, what we expect in 2006, and provide savings forecasts for two market penetration scenarios for the periods 2006 to 2015 and 2006 to 2025. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

325

GAO Cost Estimating and Assessment Guide | Department of Energy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft Word...

326

DOE Challenge Home Savings and Cost Estimate Summary | Department...  

Energy Savers [EERE]

Savings and Cost Estimate Summary DOE Challenge Home Savings and Cost Estimate Summary The U.S. Department of Energy Challenge Home Savings and Cost Estimate Summary, November...

327

Estimating heat of combustion for waste materials  

SciTech Connect (OSTI)

Describes a method of estimating the heat of combustion of hydrocarbon waste (containing S,N,Q,C1) in various physical forms (vapor, liquid, solid, or mixtures) when the composition of the waste stream is known or can be estimated. Presents an equation for predicting the heat of combustion of hydrocarbons containing some sulfur. Shows how the method is convenient for estimating the heat of combustion of a waste profile as shown in a sample calculation.

Chang, Y.C.

1982-11-01T23:59:59.000Z

328

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

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.

NONE

1996-10-01T23:59:59.000Z

329

A robustness application for linear estimation  

E-Print Network [OSTI]

, recursive algorithm for yielding estimates of the state of a linear dynamic system (see, for example, the excellent tutorial [1]). Many other applications of this estimation scheme exist in the areas of signal processing, power systems, telecommunications... on robustness causes the coefficient which maximizes J to approach the coefficient which produces maximum robustness. 37 REFERENCES [1] I. B. Rhodes, "A Tutorial Introduction to Estimation and Filtering, "IEEE Trans. on Automatic Control, vol. AC-16, pp...

Kitzman, Kenneth Victor

1990-01-01T23:59:59.000Z

330

Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method,  

U.S. Energy Information Administration (EIA) Indexed Site

Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Underground - Minable Coal Surface - Minable Coal Total Coal-Resource State Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base

331

Convergence Estimates of Multilevel Additive and Multiplicative ...  

E-Print Network [OSTI]

Dec 7, 1993 ... Ming-Hsiung, Chia-Yi 621, Taiwan. New uniform estimates for multigrid algorithms are established for certain non-symmetric indefinite prob-.

2005-04-06T23:59:59.000Z

332

Improved diagnostic model for estimating wind energy  

SciTech Connect (OSTI)

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.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

333

Quantum Process Estimation with an Unknown Detector  

Science Journals Connector (OSTI)

We present an operational approach to quantum process estimation, where the detector response is characterized directly by a set of probe states. Numerical simulations are presented...

Karpinski, Michal; Cooper, Merlin; Smith, Brian J

334

Fast Algorithms for the Minimum Volume Estimator  

E-Print Network [OSTI]

Abstract: The MVE estimator is an important tool in robust regression and outlier detection in statistics. We develop fast and efficient algorithms for the MVE...

S D Ahipasaoglu

335

Thermal Hydraulic Simulations, Error Estimation and Parameter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M. Wildey Sandia National...

336

Recoverable Resource Estimate of Identified Onshore Geopressured...  

Office of Scientific and Technical Information (OSTI)

Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana AAPG 2012 Annual Convention and Exhibition Ariel Esposito and Chad...

337

Guidelines for Estimating Unmetered Landscaping Water Use  

Broader source: Energy.gov [DOE]

Document describes the step-by-step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method.

338

Process fidelity estimation of linear optical quantum CZ gate: A comparative study  

E-Print Network [OSTI]

We present a systematic comparison of different methods of fidelity estimation of a linear optical quantum controlled-Z gate implemented by two-photon interference on a partially polarizing beam splitter. We have utilized a linear fidelity estimator based on the Monte Carlo sampling technique as well as a non-linear estimator based on maximum likelihood reconstruction of a full quantum process matrix. In addition, we have also evaluated lower bound on quantum gate fidelity determined by average quantum state fidelities for two mutually unbiased bases. In order to probe various regimes of operation of the gate we have introduced a tunable delay line between the two photons. This allowed us to move from high-fidelity operation to a regime where the photons become distinguishable and the success probability of the scheme significantly depends on input state. We discuss in detail possible systematic effects that could influence the gate fidelity estimation.

M. Micuda; M. Sedlak; I. Straka; M. Mikova; M. Dusek; M. Jezek; J. Fiurasek

2014-03-19T23:59:59.000Z

339

Cost Estimating Handbook for Environmental Restoration  

SciTech Connect (OSTI)

Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

NONE

1990-09-01T23:59:59.000Z

340

Physical acoustic information for magnitude estimation of rate of speech  

Science Journals Connector (OSTI)

Several studies have demonstrated that the phonetic identity of a segment can be altered by the rate of a precursive sequence. While this rate normalization effect has been shown for both consonants and vowels [J. L. Miller Phonetica 38 159180(1981)] it has never been clear what the physical acoustic basis of the rate information is. In these experiments subjects' magnitude estimations of rate for a short passage are used to assess the physical acoustic parameters used by the listener to perceive rate of speech. From earlier experiments [F. Grosjean and N. Lass Lang. Speech20(3) 198208(1977)] it appears likely that the source of information for rate is not based upon any higher information including words or word boundaries. In the first experiment subjects give rate estimations for a passage spoken at five rates by a female English speaker that has been low?pass filtered at 300 Hz. Estimates for these filtered stimuli in which energy for F1 and higher formants is deleted leaving only pitch and amplitude information are indistinguishable from those for intact passages. It appears then that not even phonetic perception is necessary for perception of rate in this paradigm. Data for estimates of rate for passages with only pitch or only amplitude information will also be presented. [Work supported by NINCDS.

Keith R. Kluender

1984-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Estimating the potential of ocean wave power resources  

Science Journals Connector (OSTI)

The realistic assessment of an ocean wave energy resource that can be converted to an electrical power at various offshore sites depends upon many factors, and these include estimating the resource recognizing the random nature of the site-specific wave field, and optimizing the power conversion from particular wave energy conversion devices. In order to better account for the uncertainty in wave power resource estimates, conditional probability distribution functions of wave power in a given sea-state are derived. Theoretical expressions for the deep and shallow water limits are derived and the role of spectral width is studied. The theoretical model estimates were compared with the statistics obtained from the wave-by-wave analysis of JONSWAP based ocean wave time-series. It was shown that the narrow-band approximation is appropriate when the variability due to wave period is negligible. The application of the short-term models in evaluating the long-term wave power resource at a site was illustrated using wave data measured off the California coast. The final example illustrates the procedure for incorporating the local wave data and the sea-state model together with a wave energy device to obtain an estimate of the potential wave energy that could be converted into a usable energy resource.

Amir H. Izadparast; John M. Niedzwecki

2011-01-01T23:59:59.000Z

342

Reservation Price Estimation by Adaptive Conjoint Analysis  

E-Print Network [OSTI]

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

Schmidt-Thieme, Lars

343

MATLAB Functions for Profiled Estimation of  

E-Print Network [OSTI]

MATLAB Functions for Profiled Estimation of Differential Equations Giles Hooker June 23, 2010: . . . . . . . . . . . . . . . . . . . 5 2 Example: FitzHugh-Nagumo Equations 5 3 MATLAB Objects Needed for the Estimation. 6 3.1 Cell is designed to accompany a Matlab software package that esti- mates the parameters in differential equation

Keinan, Alon

344

Systematic Approach for Decommissioning Planning and Estimating  

SciTech Connect (OSTI)

Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.

Dam, A. S.

2002-02-26T23:59:59.000Z

345

Estimating Motor Efficiency in the Field  

Broader source: Energy.gov [DOE]

Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency.

346

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable) costs apply

Boisvert, Jeff

347

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408 ­ off-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable

Boisvert, Jeff

348

5 SAMPLING TO ESTIMATE SPATIAL PATTERN  

Science Journals Connector (OSTI)

......be chosen to average out uninformative...range over their home territory and...pooled before consumption and thus reflect...estimation of average, maximum or...in a specific energy window, which...estimate the average over the entire...exposure via milk consumption of radionuclides......

5 SAMPLING TO ESTIMATE SPATIAL PATTERN

2006-06-01T23:59:59.000Z

349

Power estimation technique for DSP architectures  

Science Journals Connector (OSTI)

The main goal of power estimation is to optimize the power consumption of a electronic design. Power is a strongly pattern dependent function. Input statistics greatly influence on average power. We solve the pattern dependence problem for intellectual ... Keywords: DSP architecture, Digital filter, Intellectual property, Macromodel, Monte Carlo simulation, Power estimation

Yaseer A. Durrani; Teresa Riesgo

2009-03-01T23:59:59.000Z

350

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview model description (e.g., the 1 #12;2 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES extended Kalman

Bernard, Olivier

351

How the Carbon Emissions Were Estimated  

U.S. Energy Information Administration (EIA) Indexed Site

How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated Carbon dioxide emissions are the main component of greenhouse gas emissions caused by human activity. Carbon dioxide is emitted mostly as a byproduct of the combustion of fossil fuels for energy, although certain industrial processes (e.g., cement manufacture) also emit carbon dioxide. The estimates of energy-related carbon emissions require both data on the energy use and carbon emissions coefficients relating energy use to the amount of carbon emitted. The Energy Information Administration (EIA) is the main source of data on U.S. energy use. Emissions of Greenhouse Gases in the United States 1998 used annual data provided by energy suppliers. However, to obtain more detail on how different sectors use energy, the emissions estimates in Energy and GHG Analysis rely data from on surveys of energy users, such as manufacturing establishments and commercial buildings.

352

New approaches to estimation of magnetotelluric parameters  

SciTech Connect (OSTI)

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the dead band'' (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-01-01T23:59:59.000Z

353

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...

354

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Marginal Residential Energy Prices in the Analysis of Proposed Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Title Estimating Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Publication Type Report LBNL Report Number LBNL-44230 Year of Publication 2000 Authors Chaitkin, Stuart, James E. McMahon, Camilla Dunham Whitehead, Robert D. Van Buskirk, and James D. Lutz Document Number LBNL-44230 Date Published March 1 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Use of marginal energy prices, instead of average energy prices, represents a theoretically valuable and challenging refinement to the usual life-cycle cost analysis conducted for proposed appliance energy efficiency standards. LBNL developed a method to estimate marginal residential energy prices using a regression analysis based on a nationally representative sample of actual consumer energy bills. Based on the 1997 Residential Energy Consumption Survey (RECS), national mean marginal electricity prices were estimated to be 2.5% less than average electricity prices in the summer and 10.0% less than average prices in the non-summer months. For natural gas, marginal prices were 4.4% less than average prices in the winter and 15.3% less than average prices in the non-winter months.

355

PERIOD ERROR ESTIMATION FOR THE KEPLER ECLIPSING BINARY CATALOG  

SciTech Connect (OSTI)

The Kepler Eclipsing Binary Catalog (KEBC) describes 2165 eclipsing binaries identified in the 115 deg{sup 2} Kepler Field based on observations from Kepler quarters Q0, Q1, and Q2. The periods in the KEBC are given in units of days out to six decimal places but no period errors are provided. We present the PEC (Period Error Calculator) algorithm, which can be used to estimate the period errors of strictly periodic variables observed by the Kepler Mission. The PEC algorithm is based on propagation of error theory and assumes that observation of every light curve peak/minimum in a long time-series observation can be unambiguously identified. The PEC algorithm can be efficiently programmed using just a few lines of C computer language code. The PEC algorithm was used to develop a simple model that provides period error estimates for eclipsing binaries in the KEBC with periods less than 62.5 days: log {sigma}{sub P} Almost-Equal-To - 5.8908 + 1.4425(1 + log P), where P is the period of an eclipsing binary in the KEBC in units of days. KEBC systems with periods {>=}62.5 days have KEBC period errors of {approx}0.0144 days. Periods and period errors of seven eclipsing binary systems in the KEBC were measured using the NASA Exoplanet Archive Periodogram Service and compared to period errors estimated using the PEC algorithm.

Mighell, Kenneth J. [National Optical Astronomy Observatory, 950 North Cherry Avenue, Tucson, AZ 85719 (United States); Plavchan, Peter [NASA Exoplanet Science Institute, California Institute of Technology, Pasadena, CA 91125 (United States)

2013-06-15T23:59:59.000Z

356

1 Comparison of Data-driven Link Estimation Methods in Low-power Wireless Networks  

E-Print Network [OSTI]

AbstractLink estimation is a basic element of routing in low-power wireless networks, and data-driven link estimation using unicast MAC feedback has been shown to outperform broadcast-beacon based link estimation. Nonetheless, little is known about how different data-driven link estimation methods affect routing behaviors. To address this issue, we classify existing data-driven link estimation methods into two broad categories: L-NT that uses aggregate information about unicast and L-ETX that uses information about the individual unicast-physical transmissions. Through mathematical analysis and experimental measurement in a testbed of 98 XSM motes (an enhanced version of MICA2 motes), we examine the accuracy and stability of L-NT and L-ETX in estimating the ETX routing metric. We also experimentally study the routing performance of L-NT and L-ETX. We discover that these two representative, seemingly similar methods of data-driven link estimation differ significantly in routing behaviors: L-ETX is much more accurate and stable than L-NT in estimating the ETX metric, and, accordingly, L-ETX achieves a higher data delivery reliability and energy efficiency than L-NT (for instance, by 25.18 % and a factor of 3.75 respectively in our testbed). These findings provide new insight into the subtle design issues in data-driven link estimation that significantly impact the reliability, stability, and efficiency of wireless routing, thus shedding light on how to design link estimation methods for mission-critical wireless networks which pose stringent requirements on reliability and predictability. Index TermsLow-power wireless networks, sensor networks, link estimation and routing, data-driven, beacon-based, distancevector routing, geographic routing I.

Hongwei Zhang; Lifeng Sang; Student Member; Anish Arora

357

Estimating Part Tolerance Bounds Based on Adaptive Cloud-Based Grasp Planning with Slip  

E-Print Network [OSTI]

-slip push grasps, which can be rapidly evaluated without simulation. In [21], we restricted the class-grasps allowing slip that can enhance part alignment for parts that can be modeled as extruded polygons. The grasp. INTRODUCTION One of the primary focuses of automation is ensuring qual- ity and reliability through structured

Goldberg, Ken

358

LET Estimation of Heavy Ion Particles based on a Timepix-Based Si Detector  

E-Print Network [OSTI]

of ionizing radiation as expressed in dosimetric endpoints such as Dose-equivalent. Pixel detectors from the raw Timepix outputs. Dose is defined as the energy deposited by a source of radiation per unit of the dose caused by a particular type of particle for radiation protection purposes. To calculate the Dose

Vilalta, Ricardo

359

Evaluation of solar radiation estimation methods for reference evapotranspiration estimation in Canada  

Science Journals Connector (OSTI)

The accuracy of nine solar radiation (R s ) estimation models and their effects on reference evapotranspiration (ET o ...)...

Olanike O Aladenola; Chandra A Madramootoo

2013-12-01T23:59:59.000Z

360

A robust approach to battery fuel gauging, part II: Real time capacity estimation  

Science Journals Connector (OSTI)

Abstract In this paper, the second of a series on battery fuel gauging, we present an approach for real time capacity estimation. In part I of this series, we presented a real time parameter estimation approach for various battery equivalent models. The proposed capacity estimation scheme has the following novel features: it employes total least squares (TLS) estimation in order to account for uncertainties in both model and the observations in capacity estimation. The TLS method can adaptively track changes in battery capacity. We propose a second approach to estimate battery capacity by exploiting reststates in the battery. This approach is devised to minimize the effect of hysteresis in capacity estimation. Finally, we propose a novel approach for optimally fusing capacity estimates obtained through different methods. Then, the proposed algorithm was validated using hardware-in-the-loop (HIL) data collected from commercially available Li-ion batteries. The proposed approach performs within 1% or better accuracy in terms of capacity estimation based on both simulated as well as HIL evaluations.

B. Balasingam; G.V. Avvari; B. Pattipati; K.R. Pattipati; Y. Bar-Shalom

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength  

E-Print Network [OSTI]

1 Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent-strength reliability by assuming the Burr-XII distribution. The research methodology adopted here is to estimate. By using real data sets we well illustrate the procedure. Key Words: Burr-XII distribution, reliability

Kundu, Debasis

362

Fatigue Loads Estimation Through a Simple Stochastic Model  

E-Print Network [OSTI]

We propose a procedure to estimate the fatigue loads on wind turbines, based in a recent framework used for reconstructing data series of stochastic properties measured at wind turbines. Through a standard fatigue analysis, we show that it is possible to accurately estimate fatigue loads in any wind turbine within one wind park, using only the load measurements at one single turbine and the set of wind speed measurements. Our framework consists of deriving a stochastic differential equation that describes the evolution of the torque at one wind turbine driven by the wind speed. The stochastic equation is derived directly from the measurements and is afterwards used for predicting the fatigue loads at neighboring turbines. Such a framework could be used to mitigate the financial efforts usually necessary for placing measurement devices in all wind turbines within one wind farm. Finally, we also discuss the limitations and possible improvements of the proposed procedure.

Lind, Pedro G; Peinke, Joachim

2014-01-01T23:59:59.000Z

363

Estimation of input energy in rocket-triggered lightning Vinod Jayakumar,1  

E-Print Network [OSTI]

the input power and energy, each per unit channel length and as a function of time, associated with return- lightning first stroke, based on the conversion of measured optical energy to total energy using energy., 2002] and measured current, I(t), at the channel base to estimate the input power per unit length, P

Florida, University of

364

Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? -The Relationship between Homogeneity of Analogues  

E-Print Network [OSTI]

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

Bae, Doo-Hwan

365

Parallel State Estimation Assessment with Practical Data  

SciTech Connect (OSTI)

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.

Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

2014-10-31T23:59:59.000Z

366

The MIRD method of estimating absorbed dose  

SciTech Connect (OSTI)

The estimate of absorbed radiation dose from internal emitters provides the information required to assess the radiation risk associated with the administration of radiopharmaceuticals for medical applications. The MIRD (Medical Internal Radiation Dose) system of dose calculation provides a systematic approach to combining the biologic distribution data and clearance data of radiopharmaceuticals and the physical properties of radionuclides to obtain dose estimates. This tutorial presents a review of the MIRD schema, the derivation of the equations used to calculate absorbed dose, and shows how the MIRD schema can be applied to estimate dose from radiopharmaceuticals used in nuclear medicine.

Weber, D.A.

1991-01-01T23:59:59.000Z

367

Estimating pool energy requirements with a thermometer  

SciTech Connect (OSTI)

It is pointed out that there is a need for a simple method of estimating the energy required by a swimming pool. (This is the first step in determining the size of solar pool heaters for a specific application.) Previous methods for estimating pool energy requirements demand mathematical skills. The method proposed here requires only: (1) measurement of the average pool temperature; (2) an estimate of the pool volume; and (3) a knowledge of the desired temperature. Average temperature of the pool is measured using a weighted thermometer at different locations under various weather conditions. Step-by-step instructions complete with a table are provided. (MJJ)

Not Available

1980-04-01T23:59:59.000Z

368

A priori estimates for relativistic liquid bodies  

E-Print Network [OSTI]

We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.

Oliynyk, Todd A

2015-01-01T23:59:59.000Z

369

Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water  

Broader source: Energy.gov (indexed) [DOE]

Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters June 14, 2012 - 7:38pm Addthis A water heater's energy efficiency is determined by the energy factor (EF), which is based on the amount of hot water produced per unit of fuel consumed over a typical day. The higher the energy factor, the more efficient the water heater. A water heater's energy efficiency is determined by the energy factor (EF), which is based on the amount of hot water produced per unit of fuel consumed over a typical day. The higher the energy factor, the more efficient the water heater. What does this mean for me? Estimate the annual operating costs and compare several water heaters to determine whether it is worth investing in a more efficient

370

Attribution and Apportionment - Preliminary Estimation Procedures  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Preliminary Estimation Procedures Preliminary Estimation Procedures FHWA completes several steps in the motor fuel analysis process prior to beginning the annual State-by-State analysis. These steps include an estimation of non-highway fuel uses, public fuel uses, and gasohol consumption. The estimation models are briefly described below. The models require data from several outside sources. One major dataset is the Census Bureau's Vehicle Inventory and Use Survey (VIUS). This data set contains information on annual vehicle miles of travel, percent of off-road use, major use of the truck (agriculture, retail, etc.), engine type, and the State in which the truck is registered. VIUS does not, however, provide a fuel use breakdown between gasoline and gasohol, on-road versus off-road fuel economy, or a distribution of off-road travel by State. The VIUS is conducted every five years; the latest survey was in 1997.

371

Guidelines for Estimating Unmetered Landscapting Water Use  

Broader source: Energy.gov (indexed) [DOE]

Guidelines for Estimating Guidelines for Estimating Unmetered Landscaping Water Use July 2010 i Summary Executive Order 13514 requires Federal agencies to develop a baseline for industrial, landscaping, and agricultural water use in fiscal year 2010. Measuring actual water use through flow meters is the best method to develop this baseline. But there are instances where Federal sites do not meter these applications, so developing a baseline will be problematic. Therefore the intent of this document is to assist Federal agencies in the baseline development by providing a methodology to calculate unmetered sources of landscaping water use utilizing engineering estimates. The document lays-out step by step instructions to estimate landscaping water using two alternative

372

Estimating Demand Response with Panel Data  

Science Journals Connector (OSTI)

In this paper, we extend to panel data the iterated linear least squares estimator of Blundell and Robin (in J Appl Econometrics 14: 209232 1999). It is shown to be consistent when total expenditure and regre...

Sbastien Lecocq; Jean-Marc Robin

2006-11-01T23:59:59.000Z

373

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 24Wm?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1Wm?2 at wind farm scales larger than about 100km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

374

Data Fusion for Improved Respiration Rate Estimation  

E-Print Network [OSTI]

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the ...

Nemati, Shamim

375

Budget estimates, fiscal year 1997. Volume 12  

SciTech Connect (OSTI)

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.

NONE

1996-03-01T23:59:59.000Z

376

Nonparametric estimation of multiple structures with outliers  

E-Print Network [OSTI]

Nonparametric estimation of multiple structures with outliers Wei Zhang and Jana Kosecka George outliers (pseudo outliers) to it in addition to the true outliers (gross outliers). The problem of robust

Kosecka, Jana

377

Fracture compliance estimation using borehole tube waves  

E-Print Network [OSTI]

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 ...

Bakku, Sudhish Kumar

378

Risk Bounds for Mixture Density Estimation  

E-Print Network [OSTI]

In this paper we focus on the problem of estimating a bounded density using a finite combination of densities from a given class. We consider the Maximum Likelihood Procedure (MLE) and the greedy procedure described by ...

Rakhlin, Alexander

2004-01-27T23:59:59.000Z

379

PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS  

E-Print Network [OSTI]

EQUATIONS 17 FIGURE 1. DRILL STRING ROUND TRIP 19 FIGURE 2. STANDARD ROTARY CORING (RCB) WIRELINE TRIP 21) WIRELINE TRIP 25 FIGURE 5. ESTIMATED RIGGING, WIRELINE, AND SCANNING TIME FOR REENTRY. 27 #12;Preliminary

380

REPORT NO. 4 ESTIMATES AND EVALUATION OF  

E-Print Network [OSTI]

ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Section II History of Nuclear Weapons Testing. . . . . . . . . . . . . . . . 4 Section III Atmospheric, "Health Implications of Fallout From Nuclear Weapons Testing Through 1961", May 1962

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

On the estimation of numerus clausus  

Science Journals Connector (OSTI)

In this paper a method for estimating the necessary number of enrollments is derived, when the future need of graduates and the probabilities of ever graduating and of graduating in a certain time are given. T...

Anita Lukka

1972-01-01T23:59:59.000Z

382

State Estimation of the Micro-grid  

Science Journals Connector (OSTI)

For the goal of actual needs of power companies, this chapter develops a state estimation procedure of the micro-grid, using branch currents as state variables, ... In this chapter, an IEEE-33 nodes micro-grid is...

Jinling Lu; Guodong Zhu; Yuyang Miao

2014-01-01T23:59:59.000Z

383

Estimating wave energy from a wave record  

Science Journals Connector (OSTI)

This note is concerned with the calculation of wave energy from a time series record of wave heights. Various methods are used to estimate the wave energy. For wave records that contain a number of different ... ...

Sasithorn Aranuvachapun; John A. Johnson

1977-01-01T23:59:59.000Z

384

Sub-Second Parallel State Estimation  

SciTech Connect (OSTI)

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.

Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu

2014-10-31T23:59:59.000Z

385

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect (OSTI)

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.

Boyd, Brian K.

2010-08-01T23:59:59.000Z

386

Lognormal parameter estimation with censored data  

E-Print Network [OSTI]

[1966] reopened. the case for maximum-likcli- hooc. by exploring iterative echniques i'or the solutions to the maxim~. -likelihood equst, iona for truncated ani ccrsored samples. Tney noted. th. t although the local-msximim-likelihood estimates were... of expected biases for given parsmete. values. In addition, a +echnique is developed for the elimination oi' the bias in the maximum-likelihood estimators for a mu'tiparameter case. The latter two problem- have not pre- viously been discussed...

Zeis, Charles David

1970-01-01T23:59:59.000Z

387

Estimated and observed performance of a neutron SNM portal monitor for vehicles  

SciTech Connect (OSTI)

In July 1987, we completed our development of a neutron-detection- based vehicle SNM portal monitor with a conference paper presented at the annual meeting. The paper described the neutron vehicle portal (NVP), described source-response measurements made with it at Los Alamos, and gave our estimate of the monitor`s potential performance. Later, in December 1988, we had a chance to do a performance test with the monitor in a plant environment. This paper discusses how our original performance estimate should vary in different circumstances, and it uses the information to make a comparison between the monitor`s estimated and actual performance during the 1988 performance testing.

Fehlau, P.E.; Close, D.A.; Coop, K.L.; York, R.

1996-11-01T23:59:59.000Z

388

Fission fizzles: Estimating the yield of a predetonated nuclear weapon  

Science Journals Connector (OSTI)

An undergraduate-level model is developed for estimating the fraction of the design yield that can be realized if a uranium or a plutonium fission bomb suffers an uncontrolled predetonation due to a spontaneous fission of the fissile material. The model is based on the combination of one published earlier for the predetonation probability and a yield model developed by Mark et al. [Explosive properties of reactor-grade plutonium Sci. Global Secur.17 (2) 170185 (2009); a reprint of the same paper published in Sci. Global Secur.4 (1) 111128 (1993)].

B. Cameron Reed

2011-01-01T23:59:59.000Z

389

Calibration and Measurement Uncertainty Estimation of Radiometric Data: Preprint  

SciTech Connect (OSTI)

Evaluating the performance of photovoltaic cells, modules, and arrays that form large solar deployments relies on accurate measurements of the available solar resource. Therefore, determining the accuracy of these solar radiation measurements provides a better understanding of investment risks. This paper provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements by radiometers using methods that follow the International Bureau of Weights and Measures Guide to the Expression of Uncertainty (GUM). Standardized analysis based on these procedures ensures that the uncertainty quoted is well documented.

Habte, A.; Sengupta, M.; Reda, I.; Andreas, A.; Konings, J.

2014-11-01T23:59:59.000Z

390

IDC Reengineering Phase 2 & 3 Rough Order of Magnitude (ROM) Cost Estimate Summary (Leveraged NDC Case).  

SciTech Connect (OSTI)

Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, based on leveraging a fully funded, Sandia executed NDC Modernization project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

Harris, James M.; Prescott, Ryan; Dawson, Jericah M.; Huelskamp, Robert M.

2014-11-01T23:59:59.000Z

391

Using the fracture energies for the two films a first estimate of fracture toughness, K, can be found.  

E-Print Network [OSTI]

· Using the fracture energies for the two films a first estimate of fracture toughness, K, can be found. · Assumptions are made to estimate the crack area based on the fracture mode seen in the SEM. · The total crack length is assumed to be 3 times the contact radius, , at the fracture depth. · To find

Collins, Gary S.

392

Estimation of Volatility The values of the parameters r, t, St, T, and K used to price a call op-  

E-Print Network [OSTI]

is the price of light sweet crude oil futures traded on the New York Mercantile Exchange (NYMEX), basedChapter 7 Estimation of Volatility The values of the parameters r, t, St, T, and K used to price in the stock price model dSt St = µdt + dBt. A natural estimator for the trend parameter µ can be written as ^µ

Privault, Nicolas

393

Discrete stimulus estimation from neural responses in the turtle retina K. Shane Guillory a,*, Shy Shoham b  

E-Print Network [OSTI]

Discrete stimulus estimation from neural responses in the turtle retina K. Shane Guillory a,*, Shy this method to estimate stimuli based on microelectrode array recordings in the turtle retina. This method. All rights reserved. Keywords: Stochastic; Retina; Model; Stimulus; Discrimination; Turtle (Pseudemys

Shoham, Shy

394

Uncertainty estimation improves energy measurement and verification procedures  

Science Journals Connector (OSTI)

Abstract Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

Travis Walter; Phillip N. Price; Michael D. Sohn

2014-01-01T23:59:59.000Z

395

Distributed target tracking and boundary estimation in wireless sensor networks  

Science Journals Connector (OSTI)

We study the problem of target tracking and boundary detection of a substance diffusing from a mobile source using a wireless sensor network. We present a Prediction-based Mobility Adaptive Tracking (P-MAT algorithm to study the tradeoff among energy, accuracy of tracking, coverage and boundary estimation. P-MAT minimises overall energy consumption by incorporating adaptivity in two forms: (1) the size of the active region and (2) modulation of the sampling rate. It uses adaptive Kalman filtering to predict the target's future location and velocity. The predicted target location determines a set of sensors surrounding that location to be activated known as the active region. Sensors in the active region are responsible for target tracking and boundary detection. In this article, we include dynamic boundary estimation. Boundary estimation in many situations can be performed efficiently using a subset of nodes within the vicinity of the phenomenon. This subset of nodes in our algorithm is the set of nodes in the active region. As the substance spreads, sensors in the active region determine if additional sensors outside of the active region are needed to enclose the boundary. Results from simulation experiments show that P-MAT can perform both tracking and boundary.

Jennifer Yick; Biswanath Mukherjee; Dipak Ghosal

2008-01-01T23:59:59.000Z

396

Uncertainty Estimation Improves Energy Measurement and Verification Procedures  

SciTech Connect (OSTI)

Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

Walter, Travis; Price, Phillip N.; Sohn, Michael D.

2014-05-14T23:59:59.000Z

397

Decommissioning Cost Estimating Factors And Earned Value Integration  

SciTech Connect (OSTI)

The Rocky Flats 771 Project progressed from the planning stage of decommissioning a plutonium facility, through the strip-out of highly-contaminated equipment, removal of utilities and structural decontamination, and building demolition. Actual cost data was collected from the strip-out activities and compared to original estimates, allowing the development of cost by equipment groupings and types and over time. Separate data was developed from the project control earned value reporting and compared with the equipment data. The paper discusses the analysis to develop the detailed factors for the different equipment types, and the items that need to be considered during characterization of a similar facility when preparing an estimate. The factors are presented based on direct labor requirements by equipment type. The paper also includes actual support costs, and examples of fixed or one-time start-up costs. The integration of the estimate and the earned value system used for the 771 Project is also discussed. The paper covers the development of the earned value system as well as its application to a facility to be decommissioned and an existing work breakdown structure. Lessons learned are provided, including integration with scheduling and craft supervision, measurement approaches, and verification of scope completion. In summary: The work of decommissioning the Rocky Flats 771 Project process equipment was completed in 2003. Early in the planning process, we had difficulty in identifying credible data and implementing processes for estimating and controlling this work. As the project progressed, we were able to collect actual data on the costs of removing plutonium contaminated equipment from various areas over the life of this work and associate those costs with individual pieces of equipment. We also were able to develop and test out a system for measuring the earned value of a decommissioning project based on an evolving estimate. These were elements that would have been useful to us in our early planning process, and we would expect that they would find application elsewhere as the DOE weapons complex and some commercial nuclear facilities move towards closure. (authors)

Sanford, P.C.; Cimmarron, E. [Englewood, CO, B. Skokan, Office of Project Management Oversight, EM-53, United States Department of Energy, Washington, DC (United States)

2008-07-01T23:59:59.000Z

398

Estimated cumulative radiation dose from PET/CT in children with malignancies: a 5-year retrospective review  

E-Print Network [OSTI]

EE, Thomas SR et al (2002) MIRD dose estimate report No. 19:of a mathematical phantom (MIRD phantom) by a range of CTselect using a diagram of the MIRD phantom provided. Based

2010-01-01T23:59:59.000Z

399

Estimation of nitrous oxide emissions (GHG) from wastewater treatment plants using closed-loop mass balance and data reconciliation  

Science Journals Connector (OSTI)

The amount of greenhouse gases (GHG), especially, nitrous oxide (N2O) emitted from wastewater treatment plants (WWTP) using data reconciliation and closed-loop mass balance was estimated. This study is based on a...

JungJin Lim; Boddupalli Sankarrao; TaeSeok Oh

2012-09-01T23:59:59.000Z

400

Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators  

Science Journals Connector (OSTI)

We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of...

Taher Niknam

2008-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Nonsensor control of centrifugal water pump with asynchronous electric-drive motor based on extended Kalman filter  

Science Journals Connector (OSTI)

An approach is described for estimating the pumps variables based only on measuring the motors electrical variables. The method is based on extended Kalman filter estimation of the pumps shaft power and vel...

O. I. Kiselichnik; M. Bodson

2011-02-01T23:59:59.000Z

402

Marker-less Human Motion Estimation using Articulated Deformable Model  

E-Print Network [OSTI]

Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and backtrack re-estimation algorithm enable accurate estimation. The power to track challenging whole body

Tokyo, University of

403

Online parameter estimation applied to mixed conduction/radiation  

E-Print Network [OSTI]

) is the most widely used parameter estimation algorithm for nonlinear models. The unscented Kalman filter (UKF) is a new and more accurate technique for parameter estimation. These parameter estimation techniques have been evaluated with respect to data from...

Shah, Tejas Jagdish

2005-08-29T23:59:59.000Z

404

Uncertainty Quantification and Calibration in Well Construction Cost Estimates  

E-Print Network [OSTI]

or to individual cost components. Application of the methodology to estimation of well construction costs for horizontal wells in a shale gas play resulted in well cost estimates that were well calibrated probabilistically. Overall, average estimated...

Valdes Machado, Alejandro

2013-08-05T23:59:59.000Z

405

Hybrid Recursive Energy-based Method for Robust Optical Flow on Large Motion Fields  

E-Print Network [OSTI]

Hybrid Recursive Energy-based Method for Robust Optical Flow on Large Motion Fields Jangheon Kim for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimation in a recursive block-to-pixel estimation scheme. Integrated local and global

Wichmann, Felix

406

A. Appendix: Cost Estimate for the Facility  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Appendix: Cost Estimate for the Facility Appendix: Cost Estimate for the Facility Determining the cost of a facility as complex as the neutrino source presented here is a very difficult task within the short time period of six months. Three factors contribute to the uncertainty significantly: 1. The number of subsystems in the facility, which are described throughout the report, is comparatively large. All of the subsystems contribute a considerable amount of complexity and cost that have to be addressed by specific expertise in order to find a technical solution and a reasonable cost estimate. The variety of technologies is large and many of them have to be pushed to the edge or beyond and therefore has to be addressed with an appropriate R&D program. Cost savings from mass production will not be

407

Adjusted Estimates of Texas Natural Gas Production  

U.S. Energy Information Administration (EIA) Indexed Site

1 Energy Information Administration 1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO 2 ) production. Normally, EIA would wait until publication of the Natural Gas Annual (NGA) before revising the 2004 data, but the adjustments for CO 2 are large enough to warrant making the changes at this time. Prior to 2005, EIA relied exclusively on the voluntary sharing of production data by state and federal government entities to develop its natural gas production estimates. In 2005, EIA began collecting production data directly from operators on the new EIA-914 production

408

Estimating Renewable Energy Costs | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Estimating Renewable Energy Costs Estimating Renewable Energy Costs Estimating Renewable Energy Costs October 16, 2013 - 4:40pm Addthis Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically require large, additional capital investments with savings accruing over the project's life. It is crucial that these systems are considered early on in the budgeting process. Early budget requests need to include a set of technologies that could be used to meet the project's design requirements and their associated implementation costs. The design team may respond with a different set of feasible technologies, but it is wise to have an existing placeholder in the budget. Federal agencies can continue to update the budget as decisions

409

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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.

NONE

1999-02-01T23:59:59.000Z

410

Estimating exposure of terrestrial wildlife to contaminants  

SciTech Connect (OSTI)

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.

Sample, B.E.; Suter, G.W. II

1994-09-01T23:59:59.000Z

411

Quantum limits to estimation of photon deformation  

E-Print Network [OSTI]

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.

Giovanni De Cillis; Matteo G. A. Paris

2014-07-08T23:59:59.000Z

412

A rotor position estimator for switched reluctance motors using CMAC  

Science Journals Connector (OSTI)

This paper presents an approach to rotor position estimation in switched reluctance motors (SRMs) by using a cerebellum model articulation controller (CMAC). Previous research has shown that an artificial neural network (ANN) forms an efficient mapping structure through measurement of the flux linkages and currents for the phases. A CMAC is investigated in this paper in order to overcome the high computational power requirement problem that is encountered in a feedforward ANN based rotor position estimator. The CMAC structure does not contain neurons with activation functions, and all mathematical operations are performed without multiplication. These simplicities increase the throughput in real time implementation performed with conventional embedded controllers. However, the distributed memory structure of a CMAC requires more space. The issues involved in designing, training and implementing a CMAC are presented. In order to demonstrate the feasibility of the concept, a 20 kW, 6/4, three phase SRM is studied with training and evaluation data, which are obtained from a simulation program. A CMAC that is based on experimentally measured training and testing data for the same SRM is also used to demonstrate the promise of this approach.

Erkan Mese

2003-01-01T23:59:59.000Z

413

Likelihood transform: making optimization and parameter estimation easier  

E-Print Network [OSTI]

Parameterized optimization and parameter estimation is of great importance in almost every branch of modern science, technology and engineering. A practical issue in the problem is that when the parameter space is large and the available data is noisy, the geometry of the likelihood surface in the parameter space will be complicated. This makes searching and optimization algorithms computationally expensive, sometimes even beyond reach. In this paper, we define a likelihood transform which can make the structure of the likelihood surface much simpler, hence reducing the intrinsic complexity and easing optimization significantly. We demonstrate the properties of likelihood transform by apply it to a simplified gravitational wave chirp signal search. For the signal with an signal-to-noise ratio 20, likelihood transform has made a deterministic template-based search possible for the first time, which turns out to be 1000 times more efficient than an exhaustive grid- based search. The method in principle can be applied to other problems in other fields as the spirit of parameterized optimization and parameter estimation problem is the same.

Yan Wang

2014-02-25T23:59:59.000Z

414

Estimating the Capacity Value of Concentrating Solar Power Plants: A Case Study of the Southwestern United States  

SciTech Connect (OSTI)

We estimate the capacity value of concentrating solar power (CSP) plants without thermal energy storage in the southwestern U.S. Our results show that CSP plants have capacity values that are between 45% and 95% of maximum capacity, depending on their location and configuration. We also examine the sensitivity of the capacity value of CSP to a number of factors and show that capacity factor-based methods can provide reasonable approximations of reliability-based estimates.

Madaeni, S. H.; Sioshansi, R.; Denholm, P.

2012-05-01T23:59:59.000Z

415

Performance estimates for personnel access control systems  

SciTech Connect (OSTI)

Current performance estimates for personnel access control systems use estimates of Type I and Type II verification errors. A system performance equation which addresses normal operation, the insider, and outside adversary attack is developed. Examination of this equation reveals the inadequacy of classical Type I and II error evaluations which require detailed knowledge of the adversary threat scenario for each specific installation. Consequently, new performance measures which are consistent with the performance equation and independent of the threat are developed as an aid in selecting personnel access control systems.

Bradley, R. G.

1980-10-01T23:59:59.000Z

416

Online Sensor Calibration Monitoring Uncertainty Estimation  

SciTech Connect (OSTI)

Empirical modeling techniques have been applied to online process monitoring to detect equipment and instrumentation degradations. However, few applications provide prediction uncertainty estimates, which can provide a measure of confidence in decisions. This paper presents the development of analytical prediction interval estimation methods for three common nonlinear empirical modeling strategies: artificial neural networks, neural network partial least squares, and local polynomial regression. The techniques are applied to nuclear power plant operational data for sensor calibration monitoring, and the prediction intervals are verified via bootstrap simulation studies.

Hines, J. Wesley; Rasmussen, Brandon [University of Tennessee (United States)

2005-09-15T23:59:59.000Z

417

Estimates of US biofuels consumption, 1990  

SciTech Connect (OSTI)

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Not Available

1991-10-01T23:59:59.000Z

418

PDE Estimation Techniques for Advanced Battery Management Systems -Part I: SOC Estimation  

E-Print Network [OSTI]

- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part I: SOC Estimation S. J and renewable energy research, including advanced batteries, under the American Recovery and Rein- vestment Act

Krstic, Miroslav

419

Estimating Variance under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation  

E-Print Network [OSTI]

. In practice, these values come either from measurements or from expert estimates. In both case, we get only for these characteristics. It is desirable to estimate the accuracy of these approximations. Case of measurement uncertainty. Measurements are never 100% accurate. As a result, the result x of the measurement is, in general, different

Kreinovich, Vladik

420

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large Wildfires  

E-Print Network [OSTI]

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large: Global Biomass Burning & Carbon Emissions Standard Emissions Inventories: Burned Area & GFED recently daily. Fire occurrenceoccurrence Roy et al.Roy et al. Carbon emissions (C) = burned area . fuel

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421

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...  

Broader source: Energy.gov (indexed) [DOE]

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel...

422

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE ...  

Broader source: Energy.gov (indexed) [DOE]

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating Procedures INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating...

423

How to Estimate the Economic Impacts from Renewable Energy |...  

Energy Savers [EERE]

How to Estimate the Economic Impacts from Renewable Energy How to Estimate the Economic Impacts from Renewable Energy U.S. Department of Energy Technical Assistance Project (TAP)...

424

Estimate Greenhouse Gas Emissions by Building Type | Department...  

Broader source: Energy.gov (indexed) [DOE]

Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type YOU ARE HERE Step 2 Starting with the programs contributing the greatest...

425

Parametric estimating for early electric substation construction cost.  

E-Print Network [OSTI]

??Developing accurate construction estimates is critical for electric utilities to make reliable financial plans for their future. Parametric estimating is just one of several techniques (more)

Wall, Darden Lee

2010-01-01T23:59:59.000Z

426

The Greenhouse Gas Protocol Initiative: Measurement and Estimation...  

Open Energy Info (EERE)

Estimation of Uncertainty of GHG Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Measurement and Estimation of...

427

Louisiana - North Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Louisiana - North Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

428

Texas - RRC District 10 Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 10 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

429

U.S. Federal Offshore Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) U.S. Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

430

Nebraska Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Nebraska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

431

Texas - RRC District 7B Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7B Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

432

Florida Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Florida Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

433

Texas - RRC District 6 Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 6 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

434

Alabama Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Alabama Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

435

Louisiana State Offshore Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Louisiana State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

436

Louisiana - South Onshore Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Louisiana - South Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

437

Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

438

New Mexico - West Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) New Mexico - West Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

439

Utah Crude Oil + Lease Condensate Estimated Production from Reserves...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Utah Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

440

Texas - RRC District 7C Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7C Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

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441

Texas Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

442

Wyoming Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Wyoming Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

443

Indiana Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Indiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

444

Arkansas Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Arkansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

445

Ohio Crude Oil + Lease Condensate Estimated Production from Reserves...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Ohio Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

446

Kansas Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Kansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

447

Alaska Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Alaska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

448

California State Offshore Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) California State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

449

New Mexico - East Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) New Mexico - East Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

450

Colorado Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Colorado Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

451

California Federal Offshore Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) California Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

452

Miscellaneous States Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

453

Oklahoma Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Oklahoma Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

454

Texas State Offshore Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

455

Louisiana Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Louisiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

456

Texas - RRC District 8A Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8A Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

457

Texas - RRC District 9 Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 9 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

458

Michigan Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Michigan Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

459

New Mexico Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) New Mexico Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

460

Montana Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Montana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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461

Illinois Crude Oil + Lease Condensate Estimated Production from...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Illinois Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

462

Lower 48 States Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Lower 48 States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

463

Texas - RRC District 8 Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

464

North Dakota Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) North Dakota Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

465

Texas - RRC District 1 Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 1 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

466

Texas - RRC District 5 Crude Oil + Lease Condensate Estimated...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) Texas - RRC District 5 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

467

West Virginia Crude Oil + Lease Condensate Estimated Production...  

U.S. Energy Information Administration (EIA) Indexed Site

Estimated Production from Reserves (Million Barrels) West Virginia Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

468

Estimating Coke and Pepsi's Price and Advertising Strategies  

E-Print Network [OSTI]

Strategy Distributions for Coke (First Quarter 1977) a)Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE ADVERTISINGEconomics July, 1998 Estimating Coke and Pepsis Price and

Golan, Amos; Karp, Larry S.; Perloff, Jeffrey M.

1998-01-01T23:59:59.000Z

469

Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping...  

Broader source: Energy.gov (indexed) [DOE]

Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22,...

470

Estimating the Value of Electricity Storage Resources in Electricity...  

Broader source: Energy.gov (indexed) [DOE]

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

471

A Review of Geothermal Resource Estimation Methodology | Open...  

Open Energy Info (EERE)

to library Conference Paper: A Review of Geothermal Resource Estimation Methodology Abstract The reliability of resource estimation methodology has become increasingly...

472

Partitioning of seismo-acoustic motions for near-surface explosions and yield estimation  

Science Journals Connector (OSTI)

Explosions near the Earths surface excite both atmospheric overpressure and seismic ground motions. The amplitudes of air-blast (and hence acoustic/infrasound) overpressures and seismic motions depend on the explosive yield as well as the height-of-burst (HOB for above ground emplacement) or depth-of-burial (DOB for buried emplacement). We present analysis of air-blast overpressures and seismic motions with the goal of developing methods for robust yield estimation for near-surface blasts. Our investigations are based on the HUMBLE REDWOOD set of chemical high-explosive tests at Kirkland Air Force Base in Albuquerque NM. We find that the air-blast positive phase impulse and seismic P-wave zero-to-peak displacement amplitude are robust estimators of yield. An empirical model for the amplitudes as a function of yield range and HOB/DOB is presented and allows estimation of yield and HOB/DOB given a set of air-blast and seismic measurements. We find that yield and HOB/DOB can be estimated simultaneously by combining air-blast and seismic measurements. Strong trade-offs between the amplitudes and the yield and HOB/DOB for a single measurement type inhibit accurate estimates. However simultaneous inversion of both overpressure and seismic measurements improve estimates justifying combined seismo-acoustic analysis.

Arthur Rodgers

2013-01-01T23:59:59.000Z

473

Buried transuranic wastes at ORNL: Review of past estimates and reconciliation with current data  

SciTech Connect (OSTI)

Inventories of buried (generally meaning disposed of) transuranic (TRU) wastes at Oak Ridge National Laboratory (ORNL) have been estimated for site remediation and waste management planning over a period of about two decades. Estimates were required because of inadequate waste characterization and incomplete disposal records. For a variety of reasons, including changing definitions of TRU wastes, differing objectives for the estimates, and poor historical data, the published results have sometimes been in conflict. The purpose of this review was (1) to attempt to explain both the rationale for and differences among the various estimates, and (2) to update the estimates based on more recent information obtained from waste characterization and from evaluations of ORNL waste data bases and historical records. The latter included information obtained from an expert panel`s review and reconciliation of inconsistencies in data identified during preparation of the ORNL input for the third revision of the Baseline Inventory Report for the Waste Isolation Pilot Plant. The results summarize current understanding of the relationship between past estimates of buried TRU wastes and provide the most up-to-date information on recorded burials thereafter. The limitations of available information on the latter and thus the need for improved waste characterization are highlighted.

Trabalka, J.R.

1997-09-01T23:59:59.000Z

474

October 2005 Gasification-Based Fuels and Electricity Production from  

E-Print Network [OSTI]

October 2005 Gasification-Based Fuels and Electricity Production from Biomass, without......................................................................... 9 3.1.1 Biomass Gasification, and production cost estimates for gasification-based thermochemical conversion of switchgrass into Fischer

475

A difference based approach to the semiparametric partial linear model  

E-Print Network [OSTI]

A commonly used semiparametric partial linear model is considered. We propose analyzing this model using a difference based approach. The procedure estimates the linear component based on the differences of the observations ...

Wang, Lie

2011-01-01T23:59:59.000Z

476

Estimating Fuel Cycle Externalities: Analytical Methods and Issues, Report 2  

SciTech Connect (OSTI)

The activities that produce electric power typically range from extracting and transporting a fuel, to its conversion into electric power, and finally to the disposition of residual by-products. This chain of activities is called a fuel cycle. A fuel cycle has emissions and other effects that result in unintended consequences. When these consequences affect third parties (i.e., those other than the producers and consumers of the fuel-cycle activity) in a way that is not reflected in the price of electricity, they are termed ''hidden'' social costs or externalities. They are the economic value of environmental, health and any other impacts, that the price of electricity does not reflect. How do you estimate the externalities of fuel cycles? Our previous report describes a methodological framework for doing so--called the damage function approach. This approach consists of five steps: (1) characterize the most important fuel cycle activities and their discharges, where importance is based on the expected magnitude of their externalities, (2) estimate the changes in pollutant concentrations or other effects of those activities, by modeling the dispersion and transformation of each pollutant, (3) calculate the impacts on ecosystems, human health, and any other resources of value (such as man-made structures), (4) translate the estimates of impacts into economic terms to estimate damages and benefits, and (5) assess the extent to which these damages and benefits are externalities, not reflected in the price of electricity. Each step requires a different set of equations, models and analysis. Analysts generally believe this to be the best approach for estimating externalities, but it has hardly been used! The reason is that it requires considerable analysis and calculation, and to this point in time, the necessary equations and models have not been assembled. Equally important, the process of identifying and estimating externalities leads to a number of complex issues that also have not been fully addressed. This document contains two types of papers that seek to fill part of this void. Some of the papers describe analytical methods that can be applied to one of the five steps of the damage function approach. The other papers discuss some of the complex issues that arise in trying to estimate externalities. This report, the second in a series of eight reports, is part of a joint study by the U.S. Department of Energy (DOE) and the Commission of the European Communities (EC)* on the externalities of fuel cycles. Most of the papers in this report were originally written as working papers during the initial phases of this study. The papers provide descriptions of the (non-radiological) atmospheric dispersion modeling that the study uses; reviews much of the relevant literature on ecological and health effects, and on the economic valuation of those impacts; contains several papers on some of the more complex and contentious issues in estimating externalities; and describes a method for depicting the quality of scientific information that a study uses. The analytical methods and issues that this report discusses generally pertain to more than one of the fuel cycles, though not necessarily to all of them. The report is divided into six parts, each one focusing on a different subject area.

Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

1994-07-01T23:59:59.000Z

477

Brain mass estimation by head circumference and body mass methods in neonatal glycaemic modelling and control  

Science Journals Connector (OSTI)

AbstractIntroduction Hyperglycaemia is a common complication of stress and prematurity in extremely low-birth-weight infants. Model-based insulin therapy protocols have the ability to safely improve glycaemic control for this group. Estimating non-insulin-mediated brain glucose uptake by the central nervous system in these models is typically done using population-based body weight models, which may not be ideal. Method A head circumference-based model that separately treats small-for-gestational-age (SGA) and appropriate-for-gestational-age (AGA) infants is compared to a body weight model in a retrospective analysis of 48 patients with a median birth weight of 750g and median gestational age of 25 weeks. Estimated brain mass, model-based insulin sensitivity (SI) profiles, and projected glycaemic control outcomes are investigated. SGA infants (5) are also analyzed as a separate cohort. Results Across the entire cohort, estimated brain mass deviated by a median 10% between models, with a per-patient median difference in SI of 3.5%. For the SGA group, brain mass deviation was 42%, and per-patient SI deviation 13.7%. In virtual trials, 8793% of recommended insulin rates were equal or slightly reduced (?head circumference method, while glycaemic control outcomes showed little change. Conclusion The results suggest that body weight methods are not as accurate as head circumference methods. Head circumference-based estimates may offer improved modelling accuracy and a small reduction in insulin administration, particularly for SGA infants.

Cameron Allan Gunn; Jennifer L. Dickson; Christopher G. Pretty; Jane M. Alsweiler; Adrienne Lynn; Geoffrey M. Shaw; J. Geoffrey Chase

2014-01-01T23:59:59.000Z

478

Property:EstimatedTime | Open Energy Information  

Open Energy Info (EERE)

EstimatedTime EstimatedTime Jump to: navigation, search Property Name EstimatedTime Property Type Quantity Description An estimate of a particular chronological span, uses the Type:Epoch. Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Subproperties This property has the following 35 subproperties: G GRR/Elements/14-CA-b.1 - NPDES Permit Application GRR/Elements/14-CA-b.12 - Were all EPA objections resolved GRR/Elements/14-CA-b.13 - NPDES Permit issued GRR/Elements/14-CA-b.3 - Is the application complete for the Regional Water Quality Control Board

479

ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS  

E-Print Network [OSTI]

, as provided in the 2013 California Energy Efficiency Potential and Goals Study (2013 Potential Study 2013.1 The 2013 Potential Study estimated energy efficiency savings that could be realized through G. Brown Jr., Governor California Energy Commission DRAFT STAFF REPORT #12;CALIFORNIA ENERGY

480

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network [OSTI]

Retrofit Energy Savings Estimation Model Reference Manual #12;#12;Retrofit Energy Savings commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does from the Department of Energy. Any conclusions or opinions expressed in this manual represent solely

Note: This page contains sample records for the topic "uec estimates based" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Machine Learning ! ! ! ! ! Srihari Parameter Estimation for  

E-Print Network [OSTI]

· Bayesian Approach ­Thumbtack vs Coin Toss · Uniform Prior vs Beta Prior ­Multinomial · Dirichlet Prior 2 · Statistical estimation theory deals with Confidence Intervals ­E.g., in election polls 61 + 2 percent plan

482

Capacitary estimates and the local behavior of  

E-Print Network [OSTI]

... in virtue of (3.11), (3.12) the estimate (3.6) continues to hold. Namely, for every U R n there exist. C,R0 >0 such that. C Q(x)jB(x,r)j jB(x, r)j C 1 QjB(x,r)j,. (3.13).

1996-10-25T23:59:59.000Z

483

PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING  

E-Print Network [OSTI]

on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely usedPARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade in the model, the numerical discretization used, and the solution algorithms employed. Parameter identification

Ewing, Richard E.

484

Estimating density of Florida Key deer  

E-Print Network [OSTI]

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...

Roberts, Clay Walton

2006-08-16T23:59:59.000Z

485

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING  

E-Print Network [OSTI]

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jørgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jørgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns

Paris-Sud XI, Université de

486

Background estimation using a robust Bayesian analysis  

Science Journals Connector (OSTI)

A novel method for the estimation of the background in a powder diffraction pattern has been developed using a robust Bayesian analysis. The underlying probability theory is discussed in terms of going beyond the Gaussian approximation normally associated with counting statistics and least-squares analysis, and various examples are presented that illustrate the general applicability of the approach.

David, W.I.F.

2001-05-22T23:59:59.000Z

487

Estimating nanoparticle size from diffraction measurements  

Science Journals Connector (OSTI)

A Fourier transform of a Debye-Scherrer diffraction pattern can be used to estimate the characteristic size of nanoparticle samples. This method is insensitive to nanoparticle structure and therefore preferable to the Scherrer formula (which is unreliable because it assumes an underlying size-limited perfect crystal structure).

Hall, B.D.

2000-12-01T23:59:59.000Z

488

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview in "Wastewater Quality Monitoring and Wastewater Quality Monitoring and Treatment, Philippe Quevauviller (Ed

Paris-Sud XI, Université de

489

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS  

E-Print Network [OSTI]

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS G. C. Papanicolaoua, K. Solnab and D, University of Utah, Salt Lake City, UT 84112 cPhillips Laboratory, Kirtland AFB, NM 87117 ABSTRACT We present of the detail coe cients at scale j. The spectrum can therefore be interpreted as representing the energy

Papanicolaou, George C.

490

PMU Deployment for Optimal State Estimation Performance  

E-Print Network [OSTI]

the benefits from data aggregation. Phasor Measurement Unit (PMU) is such an advanced device capablePMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective

Roy, Sumit

491

Estimating the Burden of Neurocysticercosis in Mexico  

E-Print Network [OSTI]

region (p< 0.05). The mean total number of DALYs lost due to NCC in Mexico was estimated to be 99,866 (95 percent CR: 43,187 189,182), with a mean of 0.95 (95 percent CR: 0.41.8) DALYs lost per thousand persons per year....

Bhattarai, Rachana

2012-10-19T23:59:59.000Z

492

Preprint # 1010 Bayesian Methods for Estimating the  

E-Print Network [OSTI]

a bottom-up approach for approximating the pos- terior distribution of reliability of series and parallelPreprint # 10­10 Bayesian Methods for Estimating the Reliability of Complex Systems Using Ames, Iowa, 50011 August 8, 2010 ABSTRACT We propose a Bayesian approach for assessing the reliability

493

The generation of shared cryptographic keys through channel impulse response estimation at 60 GHz.  

SciTech Connect (OSTI)

Methods to generate private keys based on wireless channel characteristics have been proposed as an alternative to standard key-management schemes. In this work, we discuss past work in the field and offer a generalized scheme for the generation of private keys using uncorrelated channels in multiple domains. Proposed cognitive enhancements measure channel characteristics, to dynamically change transmission and reception parameters as well as estimate private key randomness and expiration times. Finally, results are presented on the implementation of a system for the generation of private keys for cryptographic communications using channel impulse-response estimation at 60 GHz. The testbed is composed of commercial millimeter-wave VubIQ transceivers, laboratory equipment, and software implemented in MATLAB. Novel cognitive enhancements are demonstrated, using channel estimation to dynamically change system parameters and estimate cryptographic key strength. We show for a complex channel that secret key generation can be accomplished on the order of 100 kb/s.

Young, Derek P.; Forman, Michael A.; Dowdle, Donald Ryan

2010-09-01T23:59:59.000Z

494

ESTIMATION UNCERTAINTY IN THE DETERMINATION OF THE MASTER CURVE REFERENCE TEMPERATURE  

SciTech Connect (OSTI)

The Master Curve Reference Temperature, T0, characterizes the fracture performance of structural steels in the ductile-to-brittle transition region. For a given material, this reference temperature is estimated via fracture toughness testing. A methodology is presented to compute the standard error of an estimated T0 value from a finite sample of toughness data, in a unified manner for both single temperature and multiple temperature test methods. Using the asymptotic properties of maximum likelihood estimators, closed-form expressions for the standard error of the estimate of T0 are presented for both test methods. This methodology includes statistically rigorous treatment of censored data, which represents an advance over the current ASTM E1921 methodology. Through Monte Carlo simulations of realistic single temperature and multiple temperature test plans, the recommended likelihood-based procedure is shown to provide better statistical performance than the methods in the ASTM E1921 standard.

Sham, Sam [ORNL] [ORNL; Eno, Daniel R [Bechtel Marine Propulsion Corporation] [Bechtel Marine Propulsion Corporation

2010-01-01T23:59:59.000Z

495

Cost estimate of high-level radioactive waste containers for the Yucca Mountain Site Characterization Project  

SciTech Connect (OSTI)

This report summarizes the bottoms-up cost estimates for fabrication of high-level radioactive waste disposal containers based on the Site Characterization Plan Conceptual Design (SCP-CD). These estimates were acquired by Babcock and Wilcox (B&S) under sub-contract to Lawrence Livermore National Laboratory (LLNL) for the Yucca Mountain Site Characterization Project (YMP). The estimates were obtained for two leading container candidate materials (Alloy 825 and CDA 715), and from other three vendors who were selected from a list of twenty solicited. Three types of container designs were analyzed that represent containers for spent fuel, and for vitrified high-level waste (HLW). The container internal structures were assumed to be AISI-304 stainless steel in all cases, with an annual production rate of 750 containers. Subjective techniques were used for estimating QA/QC costs based on vendor experience and the specifications derived for the LLNL-YMP Quality Assurance program. In addition, an independent QA/QC analysis is reported which was prepared by Kasier Engineering. Based on the cost estimates developed, LLNL recommends that values of $825K and $62K be used for the 1991 TSLCC for the spent fuel and HLW containers, respectively. These numbers represent the most conservative among the three vendors, and are for the high-nickel anstenitic steel (Alloy 825). 6 refs., 7 figs.

Russell, E.W.; Clarke, W. [Lawrence Livermore National Lab., CA (United States)] [Lawrence Livermore National Lab., CA (United States); Domian, H.A. [Babcock and Wilcox Co., Lynchburg, VA (United States)] [Babcock and Wilcox Co., Lynchburg, VA (United States); Madson, A.A. [Kaiser Engineers California Corp., Oakland, CA (United States)] [Kaiser Engineers California Corp., Oakland, CA (United States)

1991-08-01T23:59:59.000Z

496

The Study on Oil Prices Effect on International Gas Prices Based on Using Wavelet Based Boltzmann Cooperative Neural Network  

Science Journals Connector (OSTI)

In this paper, we build up WBNNK model based on wavelet-based cooperative Boltzmann neural network and kernel density estimation. The international oil prices time series is decomposed into approximate components...

Xiazi Yi; Zhen Wang

2013-01-01T23:59:59.000Z

497

Tracking object's type changes with fuzzy based fusion rule Albena Tchamova, Jean Dezert and Florentin Smarandache  

E-Print Network [OSTI]

Tracking object's type changes with fuzzy based fusion rule Albena Tchamova, Jean Dezert/sequential attribute data fusion for target type estimation are analyzed. The comparative analysis is based on fusion rule influence over target type estimation performance is studied and estimated. 1 Introduction

Paris-Sud XI, Université de

498

Historic Land Use and Carbon Estimates for South and Southeast Asia:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Historic Land Use and Carbon Estimates for South and Southeast Asia: Historic Land Use and Carbon Estimates for South and Southeast Asia: 1880-1980 (1994) (NDP-046) DOI: 10.3334/CDIAC/lue.ndp046 data Data PDF PDF Contributors J. F. Richards and E. P. Flint Description This data base contains estimates of land use change and the carbon content of vegetation for South and Southeast Asia for the years 1880, 1920, 1950, 1970, and 1980. These data were originally collected for climate modelers so they could reduce the uncertainty associated with the magnitude and time course of historical land use change and of carbon release. For this data base, South and Southeast Asia is defined as encompassing nearly 8 × 106 km2 of the earth's land surface and includes the countries of India, Sri Lanka, Bangladesh, Myanmar (Burma), Thailand, Laos, Kampuchea (Cambodia),

499

>Carbon Dioxide Emission Estimates from Fossil-Fuel Burning, Hydraulic  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Carbon Dioxide Emission Estimates from Fossil-Fuel Burning, Hydraulic Carbon Dioxide Emission Estimates from Fossil-Fuel Burning, Hydraulic Cement Production, and Gas Flaring for 1995 on a One Degree Grid Cell Basis (NDP-058a) Prepared by Antoinette L. Brenkert Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee 37831-6290 Date Published: February 1998 (Revised for the Web: 2003) CONTENTS Abstract Documentation file for Data Base NDP-058a (2-1998) Data Base NDP-058a (2-1998) Abstract Carbon Dioxide Emission Estimates from Fossil-Fuel Burning, Hydraulic Cement Production, and Gas Flaring for 1995 on a One Degree Grid Cell Basis. (March 1998) Antoinette L. Brenkert DOI: 10.3334/CDIAC/ffe.ndp058.2003 This data package presents the gridded (one degree latitude by one degree longitude) summed emissions from fossil-fuel burning, hydraulic cement

500

Standard guide for estimating the atmospheric corrosion resistance of low-alloy steels  

E-Print Network [OSTI]

1.1 This guide presents two methods for estimating the atmospheric corrosion resistance of low-alloy weathering steels, such as those described in Specifications A242/A242M, A588/A588M, A606 Type 4, A709/A709M grades 50W, HPS 70W, and 100W, A852/A852M, and A871/A871M. One method gives an estimate of the long-term thickness loss of a steel at a specific site based on results of short-term tests. The other gives an estimate of relative corrosion resistance based on chemical composition. 1.2 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard.

American Society for Testing and Materials. Philadelphia

2004-01-01T23:59:59.000Z