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1

CNMS UEC Agenda, Wednesday, January 9, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe, Sean Smith * Welcome new UEC Members * News from CNMS (Haynes) o Proposal call...

2

Microsoft Word - UEC_LURR20130062_CX  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

3

Microsoft Word - UEC_Minutes_20130510.docx  

NLE Websites -- All DOE Office Websites (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

4

Microsoft Word - UEC_Minutes_Sep14_2012.docx  

NLE Websites -- All DOE Office Websites (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.

5

Microsoft Word - UEC meeting with SHUG reps 09-17-09.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

from combined meeting of CNMS UEC and SHUG* representatives on 91709 (* SHUG SNS-HFIR User Group, see http:neutrons.ornl.govshugindex.shtml) Attendees- Users Mike Crawford,...

6

Microsoft Word - UEC_Minutes_19Apr13.docx  

NLE Websites -- All DOE Office Websites (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.

7

CNMS_UEC_19_Sep_2011_Smith.pptx  

NLE Websites -- All DOE Office Websites (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

8

Base line estimation using sparse nonlinear operators  

Science Conference Proceedings (OSTI)

Efficient nonlinear operators for base line estimation of high energy physics detector signals are introduced. Due to the high processing rate requirements the operators are simplified using sparse input sequences. The operators are a sparse order statistic ... Keywords: base line estimation, filter training, order statistic filter

Sami J. Inkinen; Yrjö Neuvo

2002-05-01T23:59:59.000Z

9

Vehicle Velocity Estimation Based on RSS Measurements  

Science Conference Proceedings (OSTI)

This paper presents a technique which is based on pattern recognition techniques, in order to estimate Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements and more precisely on information extracted ... Keywords: HIDden Markov Model, WCDMA, clustering, location based services, pattern recognition, propagation modeling, traffic information

Theodore S. Stamoulakatos; Antonis S. Markopoulos; Miltiadis E. Anagnostou; Michalis E. Theologou

2007-03-01T23:59:59.000Z

10

Ensemble-Based Data Assimilation for Estimation of River Depths  

Science Conference Proceedings (OSTI)

A method is presented for estimating bathymetry in a river, based on observations of depth-averaged velocity during steady flow. The estimator minimizes a cost function that combines known information in the form of a prior estimate and measured ...

Greg Wilson; H. Tuba Özkan-Haller

2012-10-01T23:59:59.000Z

11

2001: Surface estimation based on LIDAR  

E-Print Network (OSTI)

In the past several years, the use of airborne laser systems or LIDAR for the rapid collection of digital terrain models (DTMs) has proliferated. Flood plain studies, contouring, road engineering projects, volumetric computations, ortho-photo production, and mapping for beach erosion are just some of the applications driving the demand for this technology. The ability of LIDAR systems to capture accurate spot heights at an extremely rapid rate is the principle reason behind LIDAR's success. Many applications, for example, contouring, require a bald-earth DTM. Unfortunately, the raw data points captured by LIDAR do not constitute a bald-earth DTM. Even though most LIDAR systems can measure "lastreturn" data points, these "last-return " points often measure ground clutter like shrubbery, cars, buildings, and even the canopy of dense foliage. Consequently, raw LIDAR points must be post-processed to remove these undesirable returns. The degree to which this post processing is successful is critical in determining whether LIDAR is cost effective for large-scale mapping applications. We present our approach to estimating bald-earth surfaces from LIDAR data. Our approach is different from typical approaches in that we estimate a surface based on the original LIDAR points while at the same time considering important supplementary information. This other information includes independently measured breaklines and surface categories. We use a least-squares adjustment with robust estimation similar to that proposed by (Kraus, Pfeifer, 1998). The surface model is represented using a triangular irregular network or TIN. We present examples from a real mapping project that demonstrate the success of this approach.

Wolfgang Schickler; Anthony Thorpe

2001-01-01T23:59:59.000Z

12

Optimal Project Feature Weights in Analogy-Based Cost Estimation  

E-Print Network (OSTI)

Optimal Project Feature Weights in Analogy-Based Cost Estimation: Improvement and Limitations, IEEE Abstract--Cost estimation is a vital task in most important software project decisions as measured by standard metrics. Index Terms--Software cost estimation, analogy-based cost estimation, project

13

Compressive Sensing Based High Resolution Channel Estimation ...  

E-Print Network (OSTI)

estimation architecture. We first provide the motivation, as well as the CS ...... security, and smart grid communication. Dr. Han is an Associate Editor of IEEE ...

14

STABILIZATION OF GAS LIFTED WELLS BASED ON STATE ESTIMATION  

E-Print Network (OSTI)

STABILIZATION OF GAS LIFTED WELLS BASED ON STATE ESTIMATION Gisle Otto Eikrem Lars Imsland Bjarne well. Two different controllers are investigated, PI control using the estimated downhole pressure in the well, and nonlinear model based control of the total mass in the system. Both control structures rely

Foss, Bjarne A.

15

HSRL mass estimate based on CALIPSO  

NLE Websites -- All DOE Office Websites (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

16

Estimating Gas Concentration of Coal Mines Based on ISGNN  

Science Conference Proceedings (OSTI)

Online detecting failure of gas sensors in mine wells is an important problem. A key step for solution of the problem is estimating sample values of detected gas sensor, according to sample values of other gas sensors. We propose a scheme based on ISGNN ... Keywords: Estimating gas concentration, Gas concentration modeling, Generating Neural Networks, ISGNN

Aiguo Li; Lina Song

2009-11-01T23:59:59.000Z

17

Rapid Energy Estimation of Computations on FPGA based Soft Processors  

E-Print Network (OSTI)

such energy performance, we propose a methodology based on instruction level energy profiling. We first, techniques that can quickly and ac- curately obtain the energy dissipation of the software programs executing1 Rapid Energy Estimation of Computations on FPGA based Soft Processors Jingzhao Ou and Viktor K

Hwang, Kai

18

Rapid energy estimation of computations on FPGA based soft processors  

E-Print Network (OSTI)

Abstract — FPGA based soft processors are an attractive option for implementing embedded applications. As energy efficiency has become a key performance metric, techniques that can quickly and accurately obtain the energy performance of these soft processors are needed. While low-level simulation based on traditional FPGA design flow is too time consuming for obtaining such energy performance, we propose a methodology based on instruction level energy profiling. We first analyze the energy dissipation of various instructions. An energy estimator is built using this information. To illustrate the effectiveness of our approach, the energy performance of several FFT and matrix multiplication software programs running on a state-of-the-art soft processor is evaluated using the estimator. Compared with the results obtained through low-level simulation, an average estimation error of 5.9 % is observed in our experiments. I.

Jingzhao Ou; Viktor K. Prasanna

2004-01-01T23:59:59.000Z

19

Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process  

Science Conference Proceedings (OSTI)

In this paper, a hybrid intelligent parameter estimation algorithm is proposed for predicting the strip temperature during laminar cooling process. The algorithm combines a hybrid genetic algorithm (HGA) with grey case-based reasoning (GCBR) in order ... Keywords: Grey case-based reasoning, Hybrid genetic algorithm, Laminar cooling process, Parameter estimation

Guishan Xing; Jinliang Ding; Tianyou Chai; Puya Afshar; Hong Wang

2012-03-01T23:59:59.000Z

20

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

SciTech Connect

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

Robust Talker Direction Estimation Based on Weighted CSP Analysis and Maximum Likelihood Estimation  

Science Conference Proceedings (OSTI)

This paper describes a new talker direction estimation method for front-end processing to capture distant-talking speech by using a microphone array. The proposed method consists of two algorithms: One is a TDOA (Time Delay Of Arrival) estimation algorithm ... Keywords: robust talker direction estimation, CSP analysis, CSP coefficient subtraction, ML estimation, microphone array

Yuki Denda; Takanobu Nishiura; Yoichi Yamashita

2006-03-01T23:59:59.000Z

22

Monte Carlo simulation-based algorithms for estimating the reliability of mobile agent-based systems  

Science Conference Proceedings (OSTI)

In this paper, we propose two algorithms for estimating the task route reliability of mobile agent-based systems (MABS), which are based on the conditions of the underlying computer network. In addition, we propose a third algorithm for generating a ... Keywords: Algorithms, Mobile agents, Monte Carlo simulation, Random walk, Reliability

Mosaab Daoud; Qusay H. Mahmoud

2008-01-01T23:59:59.000Z

23

Real-Time Bias Reduction for Satellite-Based Precipitation Estimates  

Science Conference Proceedings (OSTI)

A new approach to reduce biases in satellite-based estimates in real time is proposed and tested in this study. Currently satellite-based precipitation estimates exhibit considerable biases, and there have been many efforts to reduce these biases ...

Yudong Tian; Christa D. Peters-Lidard; John B. Eylander

2010-12-01T23:59:59.000Z

24

On enhancing H.264/AVC video rate control by PSNR-based frame complexity estimation  

Science Conference Proceedings (OSTI)

In this paper, we present a PSNR-based frame complexity estimation to improve H.264/AVC rate control. Our scheme is based on adding PSNR-based complexity estimation to the existing mean absolute difference based (MAD-based) complexity measure to form ...

Minqiang Jiang; Nam Ling

2005-02-01T23:59:59.000Z

25

Distribution System Modeling Based on Dynamic State Estimation.  

E-Print Network (OSTI)

??Distribution automation, demand response and advanced metering infrastructure (AMI) are three important elements of modern smart distribution grid. To achieve it, the real-time state estimate… (more)

Huang, Shih-Che

2013-01-01T23:59:59.000Z

26

A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation  

Science Conference Proceedings (OSTI)

This paper presents a hybrid adaptive network based fuzzy inference system (ANFIS), computer simulation and time series algorithm to estimate and predict electricity consumption estimation. The difficulty with electricity consumption estimation modeling ... Keywords: Adaptive network based fuzzy inference system, Computer simulation, Electricity consumption, Hybrid, Improvement, Time series

A. Azadeh; M. Saberi; A. Gitiforouz; Z. Saberi

2009-10-01T23:59:59.000Z

27

Radar Reflectivity–Based Estimates of Mixed Layer Depth  

Science Conference Proceedings (OSTI)

This study investigates the potential for estimating mixed layer depth by taking advantage of the radial gradients in the radar reflectivity field produced by the large vertical gradients in water vapor mixing ratio that are characteristic of the ...

P. L. Heinselman; P. L. Spencer; K. L. Elmore; D. J. Stensrud; R. M. Hluchan; P. C. Burke

2009-02-01T23:59:59.000Z

28

An Evaluation of Satellite-based Insolation Estimates for Ohio  

Science Conference Proceedings (OSTI)

The National Environmental Satellite, Data and Information Service (NESDIS) has developed an operational procedure to estimate hourly and daily totals of global solar radiation (insolation) from geostationary operational environmental satellite (...

John C. Klink; Kevin J. Dollhopf

1986-11-01T23:59:59.000Z

29

Automatic Age Estimation Based on Facial Aging Patterns  

E-Print Network (OSTI)

Abstract—While recognition of most facial variations, such as identity, expression, and gender, has been extensively studied, automatic age estimation has rarely been explored. In contrast to other facial variations, aging variation presents several unique characteristics which make age estimation a challenging task. This paper proposes an automatic age estimation method named AGES (AGing pattErn Subspace). The basic idea is to model the aging pattern, which is defined as the sequence of a particular individual’s face images sorted in time order, by constructing a representative subspace. The proper aging pattern for a previously unseen face image is determined by the projection in the subspace that can reconstruct the face image with minimum reconstruction error, while the position of the face image in that aging pattern will then indicate its age. In the experiments, AGES and its variants are compared with the limited existing age estimation methods (WAS and AAS) and some well-established classification methods (kNN, BP, C4.5, and SVM). Moreover, a comparison with human perception ability on age is conducted. It is interesting to note that the performance of AGES is not only significantly better than that of all the other algorithms, but also comparable to that of the human observers. Index Terms—Computer vision, pattern recognition, machine learning, face and gesture recognition, age estimation. 1

Xin Geng; Zhi-hua Zhou; Senior Member; Kate Smith-miles; Senior Member

2007-01-01T23:59:59.000Z

30

Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint  

DOE Green Energy (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

31

EVALUATION AND CALIBRATION OF SOFTWARE-BASED ENERGY ESTIMATION  

E-Print Network (OSTI)

the power consumption. The article does not provide any results in form of error rates, instead it states widely used estimation model, which incorporates the state transitions of the radio transceiver. The im. To quantify the error rates, we determined the power consumption of a wireless sensor node through hardware

Braun, Torsten

32

Automatic thumbnail extraction for DVR based on production technique estimation  

Science Conference Proceedings (OSTI)

The automatic recording function of DVR is a powerful tool for users. However, increase of the stored content makes it difficult to access desired content. To solve this issue, this paper proposes a new method of providing suitable thumbnails of TV programs ... Keywords: DVR, STB, Object detection, Production technique estimation

T. Takahashi; M. Sugano; S. Sakazsawa

2010-05-01T23:59:59.000Z

33

Model-based estimation of time-varying parameters and state variables in aerobic bioprocesses  

Science Conference Proceedings (OSTI)

Keywords: adaptive observer, aerobic bioprocess, biomass concentration, biomass growth rate, model-based estimation, observer stability, oxygen comsumption, time-varying parameters, yield coefficient

V. Lubenova

2000-08-01T23:59:59.000Z

34

A single-view based framework for robust estimation of height and position of moving people  

Science Conference Proceedings (OSTI)

In recent years, there has been increased interest in characterizing and extracting 3D information from 2D images for human tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. ... Keywords: height estimation, human tracking, position estimation, video surveillance

Seok-Han Lee; Jong-Soo Choi

2007-12-01T23:59:59.000Z

35

Extreme wind load estimates based on Gumbel distribution of ...  

Science Conference Proceedings (OSTI)

... morning breezes and so forth-are as unwarranted as inferences on the height of adults based on the heights of children in a kinder- garten class. ...

2013-09-27T23:59:59.000Z

36

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

E-Print Network (OSTI)

A Simple Biomass-Based Length-Cohort Analysis for Estimating Biomass and Fishing Mortality CHANG IK, Washington 98115, USA Abstract.--A biomass-based length-cohort analysis (LCA) was examined for its performance in estimating total stock biomass and fishing mortality (F) for a population in equilibrium. We

37

Factor estimation using MCMC-based Kalman filter methods  

Science Conference Proceedings (OSTI)

An exact MCMC-based solution for the Kalman filter with Markov switching and GARCH components is proposed. To motivate the solution, an international equity market model incorporating common Markovian regimes and GARCH residuals in a persistent factor ...

Sarantis Tsiaplias

2008-12-01T23:59:59.000Z

38

Bearing fault prognosis based on health state probability estimation  

Science Conference Proceedings (OSTI)

In condition-based maintenance (CBM), effective diagnostic and prognostic tools are essential for maintenance engineers to identify imminent fault and predict the remaining useful life before the components finally fail. This enables remedial actions ... Keywords: Degradation stage, High pressure LNG pump, Prognosis, Remaining useful life (RUL), Support Vector Machine (SVM)

Hack-Eun Kim; Andy C. C. Tan; Joseph Mathew; Byeong-Keun Choi

2012-04-01T23:59:59.000Z

39

Toward a consistency cross-check of eddy covariance flux–based and biometric estimates of ecosystem carbon balance  

E-Print Network (OSTI)

estimates of annual carbon sequestration in a Sitka spruce (carbon cycling in a temperate forest: Radiocarbon-based estimates of residence times, sequestration

2009-01-01T23:59:59.000Z

40

Regression based D-optimality experimental design for sparse kernel density estimation  

Science Conference Proceedings (OSTI)

This paper derives an efficient algorithm for constructing sparse kernel density (SKD) estimates. The algorithm first selects a very small subset of significant kernels using an orthogonal forward regression (OFR) procedure based on the D-optimality ... Keywords: D-optimality, Optimal experimental design, Orthogonal forward regression, Parzen window estimate, Probability density function, Sparse kernel modelling

S. Chen; X. Hong; C. J. Harris

2010-01-01T23:59:59.000Z

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.


41

A New Moments based Skew Estimation Technique using Pixels in the Word for Binary Document Images  

Science Conference Proceedings (OSTI)

Accurate skew angle estimation is an essential component in document analysis system to enhance the performance of the optical character recognition (OCR). In this paper, a new and efficient moments based method to estimate skew angle of a pixels in ... Keywords: Connected component, Boundary growing, Moments, Skew detection, Optical character recognition.

P. Shivakumara; G. Hemantha Kumar; H. S. Varsha; S. Rekha; M. R. Rashmi Nayaka

2005-08-01T23:59:59.000Z

42

Design and rule base reduction of a fuzzy lter for the estimation of motor currents  

E-Print Network (OSTI)

in permanent magnet synchronous motors. Motor winding current estimation is an important problem because of a permanent magnet synchronous motor are spaced on the stator (the ®xed part of the motor) at regular angles########### ##### Design and rule base reduction of a fuzzy ®lter for the estimation of motor

Simon, Dan

43

A nearest-neighbor chain based approach to skew estimation in document images  

Science Conference Proceedings (OSTI)

A nearest-neighbor chain (NNC) based approach is proposed in this paper to develop a skew estimation method with a high accuracy and with language-independent capability. Size restriction is introduced to the detection of nearest-neighbors (NN). Then ... Keywords: document analysis, nearest-neighbor chain, skew estimation

Yue Lu; Chew Lim Tan

2003-10-01T23:59:59.000Z

44

Effects of Retrospective Gauge-Based Readjustment of Multisensor Precipitation Estimates on Hydrologic Simulations  

Science Conference Proceedings (OSTI)

This paper presents methodologies for mitigating temporally inconsistent biases in National Weather Service (NWS) real-time multisensor quantitative precipitation estimates (MQPEs) through rain gauge–based readjustments, and examines their effects ...

Yu Zhang; Seann Reed; David Kitzmiller

2011-06-01T23:59:59.000Z

45

Local Balance and Variability of Atmospheric Heat Budget over Oceans: Observation and Reanalysis-based Estimates  

Science Conference Proceedings (OSTI)

We quantify systematic differences between modern observation- and reanalysis-based estimates of atmospheric heating rates and identify dominant variability modes over tropical oceans. Convergence of heat fluxes between the top of the atmosphere ...

Sun Wong; Tristan S. L’Ecuyer; William S. Olson; Xianan Jiang; Eric J. Fetzer

46

Underwater acoustic signal separation based on prior estimation of the channel impulse response  

Science Conference Proceedings (OSTI)

An underwater acoustic signals separation method based on prior information about the channel impulse response (IR) is presented. Using a sound speed profile measured in a real world environment, the IR of the ocean is estimated with normal mode theory ...

S. Bonnifay; K. Yao; C. Jutten

2000-06-01T23:59:59.000Z

47

An Evaluation of Dvorak Technique–Based Tropical Cyclone Intensity Estimates  

Science Conference Proceedings (OSTI)

The satellite-based Dvorak technique (DVKT) is the most widely available and readily used tool for operationally estimating the maximum wind speeds associated with tropical cyclones. The DVKT itself produces internally consistent results, is ...

John A. Knaff; Daniel P. Brown; Joe Courtney; Gregory M. Gallina; John L. Beven II

2010-10-01T23:59:59.000Z

48

LBS Position Estimation by Adaptive Selection of Positioning Sensors Based on Requested QoS  

Science Conference Proceedings (OSTI)

With increasing attractiveness of location-based services (LBS), the need for consistent establishment and deployment of the LBS Quality of Service (QoS) hierarchy is strongly demanded. The position estimation is in the heart of every location-based ... Keywords: Location Based Services (LBS) QoS Positioning Sensor Selection

Renato Filjar; Lidija Buši?; Saša Deši?; Darko Huljeni?

2008-09-01T23:59:59.000Z

49

A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection  

Science Conference Proceedings (OSTI)

This paper combines an optimization model and input parameters estimation from empirical data, in order to propose condition-based maintenance policies. The system deterioration is described by discrete states ordered from the state ''as good as new'' ... Keywords: Condition-based maintenance, Decision-making under uncertainty, Hidden Markov Models, Optimal control, Stochastic-dynamic programming

Maxstaley L. Neves; Leonardo P. Santiago; Carlos A. Maia

2011-10-01T23:59:59.000Z

50

Application of Smoothed Estimators in Spectrum Sensing Technique Based on Model Selection  

E-Print Network (OSTI)

Application of Smoothed Estimators in Spectrum Sensing Technique Based on Model Selection Bassem--In cognitive radio networks, secondary user (SU) does not have rights to transmit when the primary user (PU technique based on distribution analysis was developed for sensing the spectrum holes in the PU band

Gesbert, David

51

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

52

Comparison of Historical Satellite Based Estimates of Solar Radiation Resources with Recent Rotating Shadowland Radiometer Measurements  

Science Conference Proceedings (OSTI)

Satellite-based solar radiation estimates have recently been incorporated into the 1990-2005 update to the 1961-1990 U.S. National Solar Radiation Database (NSRDB). The National Aeronautics and Space Administration (NASA) also supplies satellite-based estimates of solar radiation. The usefulness of such data with respect to solar resources for site selection and designing solar energy conversion systems is often questioned. 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. We compare the most recent shadowband radiometer MMDT with a complement of thermopile 'first class' solar radiometers at one site. Quantitative analysis shows that in most cases, the long-term average MMDT and measured data are comparable, within 10% of each other for global, and 20% for direct-radiation MMDT.

Myers, D.

2009-01-01T23:59:59.000Z

53

A Neural Networks–Based Fusion Technique to Estimate Half-Hourly Rainfall Estimates at 0.1° Resolution from Satellite Passive Microwave and Infrared Data  

Science Conference Proceedings (OSTI)

The purpose of this paper is to evaluate a new operational procedure to produce half-hourly rainfall estimates at 0.1° spatial resolution. Rainfall is estimated using a neural networks (NN)–based approach utilizing passive microwave (PMW) and ...

Francisco J. Tapiador; Chris Kidd; Vincenzo Levizzani; Frank S. Marzano

2004-04-01T23:59:59.000Z

54

Biasing of the Covariance-Based Spectral Mean Estimator in the Presence of Band-Limited Noise  

Science Conference Proceedings (OSTI)

Estimation of spectral mean frequency (spectral first moment) by the variance technique is considered for a signal process contaminated by band limited, additive noise. It is shown that the covariance-based spectral mean estimator is biased for ...

Albert J. Plueddemann; Robert Pinkel

1991-02-01T23:59:59.000Z

55

A Trust Based Distributed Kalman Filtering Approach for Mode Estimation in Power Systems  

E-Print Network (OSTI)

scale communication networks underlying the power grids make it impossible to collect data and control, the uncertainty of data accuracy has to be taken into consideration. Second, PMUs in the power grids often operateA Trust Based Distributed Kalman Filtering Approach for Mode Estimation in Power Systems Tao Jiang

Baras, John S.

56

Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics  

E-Print Network (OSTI)

Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics the equilibrium free energy and the nonequilibrium work is useful for computer simulations. In this paper, we exploit the fact that the free energy is a state function, independent of the pathway taken to change

Sun, Sean

57

Adaptive prediction based approach for congestion estimation (APACE) in active queue management  

Science Conference Proceedings (OSTI)

Active Queue Management (AQM) policies provide an early indication of incipient congestion to the sources. In this paper, we propose a new AQM policy called APACE. APACE stands for Adaptive Prediction based Approach for Congestion Estimation in AQM that ... Keywords: Active queue management (AQM), Congestion control, Random early detection (RED), TCP

Abhishek Jain; Abhay Karandikar; Rahul Verma

2004-10-01T23:59:59.000Z

58

Near-surface air temperature estimation from ASTER data based on neural network algorithm  

Science Conference Proceedings (OSTI)

An algorithm based on the radiance transfer model (MODTRAN4) and a dynamic learning neural network for estimation of near-surface air temperature from ASTER data are developed in this paper. MODTRAN4 is used to simulate radiance transfer from the ground ...

K. B. Mao; H. J. Tang; X. F. Wang; Q. B. Zhou; D. L. Wang

2008-10-01T23:59:59.000Z

59

Gaze Estimation for Off-Angle Iris Recognition Based on the Biometric Eye Model  

SciTech Connect

Iris recognition is among the highest accuracy biometrics. However, its accuracy relies on controlled high quality capture data and is negatively affected by several factors such as angle, occlusion, and dilation. Non-ideal iris recognition is a new research focus in biometrics. In this paper, we present a gaze estimation method designed for use in an off-angle iris recognition framework based on the ANONYMIZED biometric eye model. Gaze estimation is an important prerequisite step to correct an off-angle iris images. To achieve the accurate frontal reconstruction of an off-angle iris image, we first need to estimate the eye gaze direction from elliptical features of an iris image. Typically additional information such as well-controlled light sources, head mounted equipment, and multiple cameras are not available. Our approach utilizes only the iris and pupil boundary segmentation allowing it to be applicable to all iris capture hardware. We compare the boundaries with a look-up-table generated by using our biologically inspired biometric eye model and find the closest feature point in the look-up-table to estimate the gaze. Based on the results from real images, the proposed method shows effectiveness in gaze estimation accuracy for our biometric eye model with an average error of approximately 3.5 degrees over a 50 degree range.

Karakaya, Mahmut [ORNL; Barstow, Del R [ORNL; Santos-Villalobos, Hector J [ORNL; Thompson, Joseph W [ORNL; Bolme, David S [ORNL; Boehnen, Chris Bensing [ORNL

2013-01-01T23:59:59.000Z

60

Wavelet-based image watermarking with visibility range estimation based on HVS and neural networks  

Science Conference Proceedings (OSTI)

This work proposes a wavelet-based image watermarking (WIW) technique, based on the human visible system (HVS) model and neural networks, for image copyright protection. A characteristic of the HVS, which is called the just noticeable difference (JND) ... Keywords: Human visual system, Image watermarking, Just noticeable difference, Neural networks, Wavelet transformation

Hung-Hsu Tsai; Chi-Chih Liu

2011-04-01T23:59:59.000Z

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.


61

Comparison of Fourier and model-based estimators in single mode multiaxial interferometry  

E-Print Network (OSTI)

There are several solutions to code the signal arising from optical long baseline multi-aperture interferometers. In this paper,we focus on the {\\bf non homothetic spatial coding scheme} (multiaxial) with the fringe pattern coded along one dimension on one detector(all-in-one). After describing the physical principles governing single mode interferometers using that sort of recombination scheme, we analyze two different existing methods that measure the source visibility. The first technique, so-called Fourier estimator, consists in integrating the high frequency peak of the power spectral density of the interferogram. The second method, so-called model-based estimator, has been specifically developed for the AMBER instrument of the VLTI and deals with directly modelling the interferogram recorded on the detector. Performances of both estimators are computed in terms of Signal to Noise Ratio (SNR) of the visibility, assuming that the interferograms are perturbed by photon and detector noises. Theoretical expressions of the visibility SNR are provided, validated through numerical computations and then compared. We show that the model-based estimator offers up to 5 times better performances than the Fourier one.

E. Tatulli; J. -B. LeBouquin

2006-02-15T23:59:59.000Z

62

RSS Fingerprints Based Distributed Semi-Supervised Locally Linear Embedding (DSSLLE) Location Estimation System for Indoor WLAN  

Science Conference Proceedings (OSTI)

An important requirement for many novel location based services, is to determine the locations of people, equipment, animals, etc. The accuracy and response time of estimation are critical issues in location estimation system. Most of the location estimation ... Keywords: Dimensional reduction techniques, Distributed systems, Locally linear embedding (LLE), Location aware services, Semi-supervised learning, User location and tracking, Wireless LANs

Vinod Kumar Jain; Shashikala Tapaswi; Anupam Shukla

2013-07-01T23:59:59.000Z

63

Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-II censored samples  

Science Conference Proceedings (OSTI)

The maximum likelihood estimators, based on Type-II censored samples, of a two-parameter Birnbaum-Saunders distribution are discussed. We propose a simple bias-reduction method to reduce the bias of the maximum likelihood estimators. We also discuss ... Keywords: Asymptotic distribution, Bias-corrected estimator, Confidence interval, Monte Carlo EM-algorithm, Monte Carlo simulation, Probability coverage

H. K. T. Ng; D. Kundu; N. Balakrishnan

2006-07-01T23:59:59.000Z

64

Global Precipitation Estimates Based on a Technique for Combining Satellite-Based Estimates, Rain Gauge Analysis, and NWP Model Precipitation Information  

Science Conference Proceedings (OSTI)

The “satellite-gauge-model” (SGM) technique is described for combining precipitation estimates from microwave satellite data, infrared satellite data, rain gauge analyses, and numerical weather prediction models into improved estimates of global ...

George J. Huffman; Robert F. Adler; Bruno Rudolf; Udo Schneider; Peter R. Keehn

1995-05-01T23:59:59.000Z

65

Critical analysis of the Hanford spent nuclear fuel project activity based cost estimate  

Science Conference Proceedings (OSTI)

In 1997, the SNFP developed a baseline change request (BCR) and submitted it to DOE-RL for approval. The schedule was formally evaluated to have a 19% probability of success [Williams, 1998]. In December 1997, DOE-RL Manager John Wagoner approved the BCR contingent upon a subsequent independent review of the new baseline. The SNFP took several actions during the first quarter of 1998 to prepare for the independent review. The project developed the Estimating Requirements and Implementation Guide [DESH, 1998] and trained cost account managers (CAMS) and other personnel involved in the estimating process in activity-based cost (ABC) estimating techniques. The SNFP then applied ABC estimating techniques to develop the basis for the December Baseline (DB) and documented that basis in Basis of Estimate (BOE) books. These BOEs were provided to DOE in April 1998. DOE commissioned Professional Analysis, Inc. (PAI) to perform a critical analysis (CA) of the DB. PAI`s review formally began on April 13. PAI performed the CA, provided three sets of findings to the SNFP contractor, and initiated reconciliation meetings. During the course of PAI`s review, DOE directed the SNFP to develop a new baseline with a higher probability of success. The contractor transmitted the new baseline, which is referred to as the High Probability Baseline (HPB), to DOE on April 15, 1998 [Williams, 1998]. The HPB was estimated to approach a 90% confidence level on the start of fuel movement [Williams, 1998]. This high probability resulted in an increased cost and a schedule extension. To implement the new baseline, the contractor initiated 26 BCRs with supporting BOES. PAI`s scope was revised on April 28 to add reviewing the HPB and the associated BCRs and BOES.

Warren, R.N.

1998-09-29T23:59:59.000Z

66

CostStudio: a web-based cost estimation tool for architectural design studios  

E-Print Network (OSTI)

The advent of computers has had a tremendous impact on every field of study. Their phenomenal computing power and storage capabilities, along with the ability to "network" and share information, afford tremendous possibilities. The Internet has become the single largest source for the dissemination and sharing of information. Academia has proactively seized the opportunity to review existing educational methodology and devise methods that use the power of computers and networking to improve knowledge transfer and create a better learning experience for students. Online accredited degrees offered by virtual universities epitomize the impact of technology on the field of education. The vertical impact of a broader and deeper educational experience in every academic field has been complimented by a horizontal impact on all the fields, as they continue to discover areas of overlap and foster inter-disciplinary learning. Architecture is one of the fields that has benefited tremendously by advances in information technology. Computers have replaced traditional manual drafting techniques, design techniques and storage of information. Not only do these tools provide the means of doing things better and faster, but they also enhance the learning process. The current research focuses on a cost estimation tool that accentuates knowledge of the cost estimation process for architectural students and audits the student's usage of the tool by recording each interaction in an auditing database. Cost estimation, traditionally, has received more focus by construction engineers. However, it holds considerable significance for architects who must evaluate the cost feasibility of their designs. CostStudio, an online web-based cost estimation tool, was developed for architecture students to fulfill these needs. The tool was developed in Java using Java Server Pages and component based Java Beans technology with a pure Java based database at the backend. The research effort focuses on educating architectural students and studying the impact and acceptance of such tools among students.

Shah, Neelu

2001-01-01T23:59:59.000Z

67

Statistical Cue Estimation for Model-Based Shape and Motion Tracking  

E-Print Network (OSTI)

Vision-based tracking of moving objects is important in many applications, ranging from sports and medicine to security and recognition of human action. In this dissertation we discuss novel methods for statistical deformable model tracking. Our main contribution is a method to estimate the probability distributions of the observations in a deformable model tracking system. This method offers the compelling advantage that it does not require us to make many of the traditional assumptions about the underlying probability distributions of the cues. Despite this advantage, it still is fast; the run time overhead over non-statistical approaches is only 5-10%.

Dimitris Metaxas; Benjamin Pierce; Siome Goldenstein; Siome Goldenstein

2002-01-01T23:59:59.000Z

68

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

DOE Green Energy (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

69

Direct Torque Control Based on Space Vector Modulation with Adaptive Neural Integrator for Stator Flux Estimation in Induction Motors  

Science Conference Proceedings (OSTI)

Direct torque control based on space vector modulation (SVM-DTC) preserve DTC transient merits, furthermore, produce better quality steady-state performance in a wide speed range. A new adaptive neural integration algorithm for estimating stator flux ... Keywords: DTC, space vector modulation, adaptive neural integrator, stator flux estimation

Chunhua Zang; Xianqing Cao

2009-08-01T23:59:59.000Z

70

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

Science Conference Proceedings (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

71

Real-time estimation of olive oil quality parameters: a combined approach based on ANNs and machine vision  

Science Conference Proceedings (OSTI)

The present work describes a combined approach based on Artificial Neural Networks and Machine Vision for the real-time estimation of some qualitative olive oil parameters. The proposed methodology proves to be a useful tool for the real-time estimation ... Keywords: ANNs, acidity, machine vision, olive oil, peroxides, ripeness, sanitation condition

Monica Carfagni; Marco Daou; Rocco Furferi

2008-07-01T23:59:59.000Z

72

Geothermal resource base of the world: a revision of the Electric Power Research Institute's estimate  

DOE Green Energy (OSTI)

Review of the Electric Power Research Institute's (EPRI) method for calculating the geothermal resource base of a country shows that modifications are needed for several of the assumptions used in the calculation. These modifications include: (1) separating geothermal belts into volcanic types with a geothermal gradient of 50{sup 0}C/km and complex types in which 80% of the area has a temperature gradient of 30{sup 0}C/km and 20% has a gradient of 45{sup 0}C/km, (2) using the actual mean annual temperature of a country rather than an assumed 15{sup 0}C average ambient temperature, and (3) making separate calculations for the resource stored in water/brine and that stored in rock. Comparison of this method (Revised EPRI) for calculating a geothermal resource base with other resource base estimates made from a heat flow map of Europe indicates that the technique yields reasonable values. The calculated geothermal resource bases, stored in water and rock to a depth of 5 km, for each country in the world are given. Approximately five times as much energy is stored in rock as is stored in water.

Aldrich, M.J.; Laughlin, A.W.; Gambill, D.T.

1981-04-01T23:59:59.000Z

73

Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector  

E-Print Network (OSTI)

years later, standards on these products alone were estimated to have reduced annual national electricity consumptionyear, given by UEC 0c (y) = UEC 0 (Income c (y),CDD) The total electricity consumption

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

74

SWAT-Based Streamflow Estimation and Its Responses to Climate Change in the Kadongjia River Watershed, Southern Tibet  

Science Conference Proceedings (OSTI)

Runoff estimation and its response to climate change in ungauged or poorly gauged basins based on hydrological models are frontier research issues of the hydrological cycle. For the Kadongjia River watershed (KRW), a poorly gauged watershed ...

Rui Sun; Xueqin Zhang; Yang Sun; Du Zheng; Klaus Fraedrich

2013-10-01T23:59:59.000Z

75

SWAT-based streamflow estimation and its responses to climate change in Kadongjia River Watershed, South Tibet, China  

Science Conference Proceedings (OSTI)

Runoff estimation and its response to climate change in ungauged or poorly gauged basins based on hydrological models are frontier research issues of the hydrological cycle. For Kadongjia River Watershed (KRW), a poorly gauged watershed located in ...

Rui Sun; Xueqin Zhang; Yang Sun; Du Zheng; Klaus Fraedrich

76

Radar-Based Quantitative Precipitation Estimation for the Cool Season in Complex Terrain: Case Studies from the NOAA Hydrometeorology Testbed  

Science Conference Proceedings (OSTI)

This study explores error sources of the National Weather Service operational radar-based quantitative precipitation estimation (QPE) during the cool season over the complex terrain of the western United States. A new, operationally geared radar ...

Jian Zhang; Youcun Qi; David Kingsmill; Kenneth Howard

2012-12-01T23:59:59.000Z

77

A framework for non-ICP lidar-based pose estimation using an optimally constrained 3D target.  

E-Print Network (OSTI)

??This thesis describes a non-ICP-based framework fohr [sic] the computation of a pose estimate of a special target shape from raw LIDAR scan data. In… (more)

Saint-Cyr, Pierre

2010-01-01T23:59:59.000Z

78

Precipitation Estimate Using NEXRAD Ground-Based Radar Images: Validation, Calibration and Spatial Analysis  

Science Conference Proceedings (OSTI)

Precipitation is an important input variable for hydrologic and ecological modeling and analysis. Next Generation Radar (NEXRAD) can provide precipitation products that cover most of the continental United States with a high resolution display of approximately 4 × 4 km2. Two major issues concerning the applications of NEXRAD data are (1) lack of a NEXRAD geo-processing and geo-referencing program and (2) bias correction of NEXRAD estimates. In this chapter, a geographic information system (GIS) based software that can automatically support processing of NEXRAD data for hydrologic and ecological models is presented. Some geostatistical approaches to calibrating NEXRAD data using rain gauge data are introduced, and two case studies on evaluating accuracy of NEXRAD Multisensor Precipitation Estimator (MPE) and calibrating MPE with rain-gauge data are presented. The first case study examines the performance of MPE in mountainous region versus south plains and cold season versus warm season, as well as the effect of sub-grid variability and temporal scale on NEXRAD performance. From the results of the first case study, performance of MPE was found to be influenced by complex terrain, frozen precipitation, sub-grid variability, and temporal scale. Overall, the assessment of MPE indicates the importance of removing bias of the MPE precipitation product before its application, especially in the complex mountainous region. The second case study examines the performance of three MPE calibration methods using rain gauge observations in the Little River Experimental Watershed in Georgia. The comparison results show that no one method can perform better than the others in terms of all evaluation coefficients and for all time steps. For practical estimation of precipitation distribution, implementation of multiple methods to predict spatial precipitation is suggested.

Zhang, Xuesong

2012-12-17T23:59:59.000Z

79

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

Science Conference Proceedings (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 ...

A. Protat; S. A. Young; S. A. McFarlane; T. L’Ecuyer; G. G. Mace; J. M. Comstock; C. N. Long; E. Berry; J. Delanoë

80

Intercomparison of Rain Gauge, Radar, and Satellite-Based Precipitation Estimates with Emphasis on Hydrologic Forecasting  

Science Conference Proceedings (OSTI)

This study compares mean areal precipitation (MAP) estimates derived from three sources: an operational rain gauge network (MAPG), a radar/gauge multisensor product (MAPX), and the Precipitation Estimation from Remotely Sensed Information using ...

Koray K. Yilmaz; Terri S. Hogue; Kuo-lin Hsu; Soroosh Sorooshian; Hoshin V. Gupta; Thorsten Wagener

2005-08-01T23:59:59.000Z

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.


81

Statistical Aspects of Estimated Principal Vectors (EOFs) Based on small Sample Sizes  

Science Conference Proceedings (OSTI)

Statistical properties of estimated nonisotropic principal vectors [empirical orthogonal functions (EOFs)] are reviewed and discussed. The standard eigenvalue estimator is nonnormally distributed and biased: the largest one becomes overestimated, ...

Hans von Storch; Gerhard Hannoschöck

1985-07-01T23:59:59.000Z

82

Regional Earth-Atmosphere Energy Balance Estimates Based on Assimilations with a GCM  

Science Conference Proceedings (OSTI)

The column budget technique described by Oort and Vonder Haar (1976) is used to assess the physical consistency and accuracy of estimates of the earth-atmosphere energy balance. Regional estimates of the atmospheric budget terms, the net ...

Michael A. Alexander; Siegfried D. Schubert

1990-01-01T23:59:59.000Z

83

Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system  

Science Conference Proceedings (OSTI)

This paper proposes a precise real-time wind speed estimation method and sensorless control for variable-speed variable-pitch wind turbine power generation system (WTPGS). The wind speed estimation is realized by a nonlinear input-output mapping extreme ... Keywords: Extreme learning machine, Sensorless control, Wind speed estimation, Wind turbine power generation system

Si Wu; Youyi Wang; Shijie Cheng

2013-02-01T23:59:59.000Z

84

Estimating Total Discharge in the Yangtze River Basin Using Satellite-Based Observations  

E-Print Network (OSTI)

Abstract: The measurement of total basin discharge along coastal regions is necessary for understanding the hydrological and oceanographic issues related to the water and energy cycles. However, only the observed streamflow (gauge-based observation) is used to estimate the total fluxes from the river basin to the ocean, neglecting the portion of discharge that infiltrates to underground and directly discharges into the ocean. Hence, the aim of this study is to assess the total discharge of the Yangtze River (Chang Jiang) basin. In this study, we explore the potential response of total discharge to changes in precipitation (from the Tropical Rainfall Measuring Mission—TRMM), evaporation (from four versions of the Global Land Data Assimilation—GLDAS, namely, CLM, Mosaic, Noah and VIC), and water-storage changes (from the Gravity Recovery and Climate Experiment—GRACE) by using the terrestrial water budget method. This method has been validated by comparison with the observed streamflow, and shows an agreement with a root mean square error (RMSE) of 14.30 mm/month for GRACE-based discharge and 20.98 mm/month for that derived from precipitation minus evaporation (P ? E). This improvement of approximately 32 % indicates that monthly terrestrial water-storage

Vagner G. Ferreira; Zheng Gong; Xiufeng He; Yonglei Zhang; Samuel A. Andam-akorful

2013-01-01T23:59:59.000Z

85

Microsoft Word - UEC_Minutes_20130614.docx  

NLE Websites -- All DOE Office Websites (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

86

CNMS UEC Agenda, Thursday, February 7, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

you can see from the attached invitation, the National L abs C aucus b elieves t hat N UFO i s u niquely p ositioned t o i llustrate t he b enefits of the investments in National...

87

CNMS UEC Agenda, Thursday, August 1, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

August 1, 2013 10:00 am Eastern Time Participants (attendees in blue) Chair - Tony Hmelo (Vanderbilt University) Vice-Chair - Vivek Prabhu (NIST) Secretary - Milan Buncick (AEgis...

88

CNMS UEC Agenda, Thursday, April 4, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe * 2013 User Meeting plans (Hmelo) Attachments distributed via email o Invited...

89

CNMS UEC Agenda, Tuesday, July 9, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe * News from CNMS (Haynes) o Proposal Call results: 103 approved of 166 received...

90

CNMS UEC Agenda, Thursday, June 6, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe * News from CNMS (Haynes) o Proposal Call update 166 proposals were received;...

91

CNMS UEC Agenda, Thursday, March 7, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe * News from CNMS (Haynes) o Underway at CNMS this week is the 12 th International...

92

CNMS UEC Agenda, Monday, July 2, 2012  

NLE Websites -- All DOE Office Websites (Extended Search)

member - Mark Dadmun (University of Tennessee) CNMS (non-members) - Tony Haynes, Sandy Lowe * News from CNMS o Proposal Call wrap-up 79 of 102 proposals awarded (77%);...

93

CNMS UEC Agenda, Thursday, May 2, 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe * News from CNMS o Proposal call closed May 1; more than 160 proposals received,...

94

Electrochemistry theorem based state-of-charge estimation of the lead acid batteries for electric vehicles  

Science Conference Proceedings (OSTI)

A method for the estimation of the state-of-charge in lead-acid batteries for electric vehicles is investigated. The electrochemistry theorem is introduced to measure the resistance effect of the electrode reaction and to estimate the internal energy ... Keywords: digital signal processor, electric vehicles, electrode reaction, electrolyte specific gravity, lead-acid battery, state-of-charge

Ying-Shing Shiao; Ding-Tsair Su; Jui-Liang Yang; Rong-Wen Hung

2008-10-01T23:59:59.000Z

95

MMSE channel estimation scheme based on two-dimensional hadamard transform for OFDM systems  

Science Conference Proceedings (OSTI)

In this paper, a novel minimum-mean-square-error (MMSE) channel estimation algorithm for OFDM systems is proposed. The algorithm adopts two-dimensional Hadamard transform (TDHT) instead of the conventional Fourier transform, and more noise interference ... Keywords: MMSE, OFDM, channel estimation, two-dimensional hadamard transform

Qihong Ge; Liuguo Yin; Huazhong Yang

2006-04-01T23:59:59.000Z

96

B-Spline Image Model for Energy Minimization-Based Optical Flow Estimation  

Science Conference Proceedings (OSTI)

Robust estimation of the optical flow is addressed through a multiresolution energy minimization. It involves repeated evaluation of spatial and temporal gradients of image intensity which rely usually on bilinear interpolation and image filtering. We ... Keywords: Optical flow (OF), robust estimation, splines

G. Le Besnerais; F. Champagnat

2006-10-01T23:59:59.000Z

97

New autoregressive (AR) order selection criteria based on the prediction error estimation  

Science Conference Proceedings (OSTI)

The most important problem in data modeling using the AR model is the order selection. Some AR order selection criteria estimate the prediction error and choose the order that minimizes this estimated prediction error. All of these criteria use the same ... Keywords: Autoregressive model order selection, Least-Squares-Forward method, Prediction error

S. Khorshidi; M. Karimi; A. R. Nematollahi

2011-10-01T23:59:59.000Z

98

Three-dimensional image-based modelling of linear features for plant biomass estimation  

Science Conference Proceedings (OSTI)

Biomass estimation is important for biological research and agricultural management. Low-cost two-dimensional 2D computer vision has been applied to non-contact biomass estimation. However, the rapid increase of computing power has enabled the use of ...

RanNisim Lati, Alex Manevich, Sagi Filin

2013-09-01T23:59:59.000Z

99

Generalized linear model-based expert system for estimating the cost of transportation projects  

Science Conference Proceedings (OSTI)

Timely effective cost management requires reliable cost estimates at every stage of project development. While underestimation of transportation costs seems to be a global trend, improving early cost prediction accuracy in estimates is difficult. This ... Keywords: Cost management, Expert system, Generalized linear model, Relational database, Transportation projects

Jui-Sheng Chou

2009-04-01T23:59:59.000Z

100

Evaluation of preliminary data analysis framework in software cost estimation based on ISBSG R9 Data  

Science Conference Proceedings (OSTI)

Previous research has argued that preliminary data analysis is necessary for software cost estimation. In this paper, a framework for such analysis is applied to a substantial corpus of historical project data (ISBSG R9 data), selected without explicit ... Keywords: ISBSG Data R9, Software cost estimation, Software engineering data analysis

Qin Liu; Wen Zhong Qin; Robert Mintram; Margaret Ross

2008-09-01T23:59:59.000Z

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.


101

Sharing information for Q-learning-based network bandwidth estimation and network failure detection  

Science Conference Proceedings (OSTI)

Distributed bandwidth (bw) estimation for effective routing and network failure detection are essential in several networked applications. However, they are hard problems since the individual nodes (agents) do not have global knowledge about the network ... Keywords: Q-learning, bandwidth estimation, network failures

Partha S. Dutta; Nicholas R. Jennings; R. Jennings; Luc Moreau

2005-07-01T23:59:59.000Z

102

GPU-based roofs' solar potential estimation using LiDAR data  

Science Conference Proceedings (OSTI)

Solar potential estimation using LiDAR data is an efficient approach for finding suitable roofs for photovoltaic systems' installations. As the amount of LiDAR data increases, the non-parallel methods take considerable time to accurately estimate the ... Keywords: CUDA, GPU, LiDAR, Solar potential

Niko Luka?, Borut Alik

2013-03-01T23:59:59.000Z

103

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

Science Conference Proceedings (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

104

Satellite solar insolation-based daily evapotranspiration estimation in Puerto Rico  

Science Conference Proceedings (OSTI)

A technique is presented in which satellite solar insolation estimates are used to predict daily reference evapotranspiration (ETo) using the Penman-Monteith (PM), Preistly-Taylor (PT) and Hargreaves-Samini (HS) methods for Puerto Rico. For ...

Eric W. Harmsen; John Mecikalski; Melvin J. Cardona-Soto; Alejandra Rojas Gonzalez; Ramön Vasquez

2009-05-01T23:59:59.000Z

105

Adjoint-Based Estimation of Eddy-Induced Tracer Mixing Parameters in the Global Ocean  

Science Conference Proceedings (OSTI)

Using the German Estimating the Circulation and Climate of the Ocean (GECCO) synthesis framework, four separate eddy tracer mixing coefficients are adjusted jointly with external forcing fields, such as to reduce a global misfit between the model ...

Chuanyu Liu; Armin Köhl; Detlef Stammer

2012-07-01T23:59:59.000Z

106

A conceptual framework to energy estimation in buildings using agent based modeling  

Science Conference Proceedings (OSTI)

Actual energy consumption in buildings is typically different from predictions during the design phase. While differences in occupant energy usage characteristics play an important role in this variation, actual energy estimation software do not account ...

Elie Azar; Carol Menassa

2010-12-01T23:59:59.000Z

107

An Evaluation of a Drop Distribution–Based Polarimetric Radar Rainfall Estimator  

Science Conference Proceedings (OSTI)

A method for estimating the governing parameters of gamma drop size distributions (DSDs) and associated rainfall rates from polarimetric radar measurements at the S band is examined. The technique uses radar reflectivity at horizontal ...

Edward A. Brandes; Guifu Zhang; J. Vivekanandan

2003-05-01T23:59:59.000Z

108

Kalman filter-based multialternative method for fault detection and estimation  

Science Conference Proceedings (OSTI)

Proposed was a computationally efficient multialternative method for detection and estimation of faults additively involved in the right-hand sides of the linear equations of the state and measurement vectors. In distinction to the classical approach ...

D. A. Koshaev

2010-05-01T23:59:59.000Z

109

Estimating Contemporary and Future Wind-Damage Losses from Hurricanes Affecting Eglin Air Force Base, Florida  

Science Conference Proceedings (OSTI)

The strongest hurricanes over the North Atlantic Ocean are getting stronger, with the increase related to rising ocean temperature. Here, the authors develop a procedure for estimating future wind losses from hurricanes and apply it to Eglin Air ...

James B. Elsner; Shawn W. Lewers; Jill C. Malmstadt; Thomas H. Jagger

2011-07-01T23:59:59.000Z

110

Continental Passive Microwave-Based Rainfall Estimation Algorithm: Application to the Amazon Basin  

Science Conference Proceedings (OSTI)

This paper presents a new statistical algorithm to estimate rainfall over the Amazon Basin region using the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI). The algorithm relies on empirical relationships derived for different ...

Thiago S. Biscaro; Carlos A. Morales

2008-07-01T23:59:59.000Z

111

Continuous, Array-Based Estimates of Atlantic Ocean Heat Transport at 26.5°N  

Science Conference Proceedings (OSTI)

Continuous estimates of the oceanic meridional heat transport in the Atlantic are derived from the Rapid Climate Change–Meridional Overturning Circulation (MOC) and Heatflux Array (RAPID–MOCHA) observing system deployed along 26.5°N, for the ...

W. E. Johns; M. O. Baringer; L. M. Beal; S. A. Cunningham; T. Kanzow; H. L. Bryden; J. J. M. Hirschi; J. Marotzke; C. S. Meinen; B. Shaw; R. Curry

2011-05-01T23:59:59.000Z

112

Reanalyses-Based Tropospheric Temperature Estimates: Uncertainties in the Context of Global Climate Change Detection  

Science Conference Proceedings (OSTI)

Uncertainties in estimates of tropospheric mean temperature were investigated in the context of climate change detection through comparisons of the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) ...

Muthuvel Chelliah; C. F. Ropelewski

2000-09-01T23:59:59.000Z

113

Scintillometer-Based Estimates of Sensible Heat Flux Using Lidar-Derived Surface Roughness  

Science Conference Proceedings (OSTI)

The estimation of sensible heat flux, H, using large aperture scintillometer (LAS) under varying surface heterogeneity conditions was investigated. Surface roughness features characterized by variable topography and vegetation height were ...

Hatim M. E. Geli; Christopher M. U. Neale; Doyle Watts; John Osterberg; Henk A. R. De Bruin; Wim Kohsiek; Robert T. Pack; Lawrence E. Hipps

2012-08-01T23:59:59.000Z

114

Small-Area Estimation based on Survey Data from a Left-Censored Fay-Herriot Model  

E-Print Network (OSTI)

Administration's monthly crude oil report is based on a survey (EIA-813, http://www.eia.doe.gov/oss/forms.html) in which respondent compa- nies that carry or store more than 1000 barrels of crude oil are required is the US Census Bureau's Small Area Income and Poverty Estimation (SAIPE) program, an ongoing effort

Maryland at College Park, University of

115

An area-dependent wind function for estimating open water evaporation using land-based meteorological data  

Science Conference Proceedings (OSTI)

We propose a generally applicable formula for estimating evaporation rate from open water bodies which utilizes readily available land-based meteorological data. We follow the well-known aerodynamic approach in which evaporation rate is modelled as the ... Keywords: Evaporation, Lake, Open water, Pond, Uncertainty, Water body, Wind function, Wind speed

D. L. McJannet; I. T. Webster; F. J. Cook

2012-05-01T23:59:59.000Z

116

Estimates of Refrigerator Loads in Public Housing Based on Metered Consumption Data  

SciTech Connect

The New York Power Authority (NYPA), the New York City Housing Authority (NYCHA), and the U.S. Departments of Housing and Urban Development (HUD) and Energy (DOE) have joined in a project to replace refrigerators in New York City public housing with new, highly energy-efficient models. This project laid the ground work for the Consortium for Energy Efficiency (CEE) and DOE to enable housing authorities throughout the United States to bulk-purchase energy-efficient appliances. DOE helped develop and plan the program through the ENERGY STAR@ Partnerships program conducted by its Pacific Nofiwest National Laboratory (PNNL). PNNL was subsequently asked to conduct the savings evahations for 1996 and 1997. PNNL designed the metering protocol and occupant survey, supplied and calibrated the metering equipment, and managed and analyzed the data. The 1996 metering study of refrigerator energy usage in New York City public housing (Pratt and Miller 1997) established the need and justification for a regression-model-based approach to an energy savings estimate. The need originated in logistical difficulties associated with sampling the population and pen?orming a stratified analysis. Commonly, refrigerators[a) with high representation in the popula- tion were missed in the sampling schedule, leaving significant holes in the sample and difficulties for the stratified anrdysis. The just{jfcation was found in the fact that strata (distinct groups of identical refrigerators) were not statistically distinct in terms of their label ratio (ratio of metered consumption to label rating). This finding suggested a general regression model could be used to represent the consumption of all refrigerators in the population. In 1996 a simple two-coefficient regression model, a function of only the refrigerator label rating, was developed and used to represent the existing population of refrigerators. A key concept used in the 1997 study grew from findings in a small number of apartments metered in 1996 with a detailed protocol. Fifteen-minute time-series data of ambient and compartment temperatures and refrigerator power were analyzed and demonstrated the potential for reducing power records into three components. This motivated the development of an analysis process to divide the metered consumption into baseline load, occupant-associated load, and defrosting load. The baseline load is the consumption that would occur if the refrigerator were on but had no occupant usage load (no door- opening events) and the defrosting mechanism was disabled. The motivation behind this component reduction process was the hope that components could be more effectively modeled than the total. We reasoned that the components would lead to abetter (more general and more significant) understanding of the relationships between consumption, the characteristics of the refrigerator, and its operating environment.

JD Miller; RG Pratt

1998-09-11T23:59:59.000Z

117

A high-quality video denoising algorithm based on reliable motion estimation  

Science Conference Proceedings (OSTI)

Although the recent advances in the sparse representations of images have achieved outstanding denosing results, removing real, structured noise in digital videos remains a challenging problem. We show the utility of reliable motion estimation to establish ... Keywords: approximate K-nearest neighbors, non-local means, optical flow, structured noise, video denoising

Ce Liu; William T. Freeman

2010-09-01T23:59:59.000Z

118

Multiple initial point prediction based search pattern selection for fast motion estimation  

Science Conference Proceedings (OSTI)

A novel, computationally efficient and robust scheme for multiple initial point prediction has been proposed in this paper. A combination of spatial and temporal predictors has been used for initial motion vector prediction, determination of magnitude ... Keywords: Block matching, Correlation, Motion estimation, Motion vectors, Spatial, Temporal, Video coding

Humaira Nisar; Tae-Sun Choi

2009-03-01T23:59:59.000Z

119

A multi-sensor based occupancy estimation model for supporting demand driven HVAC operations  

Science Conference Proceedings (OSTI)

Heating, ventilation, and air conditioning (HVAC) is a major energy consumer in buildings, and implementing demand driven HVAC operations is a way to reduce HVAC related energy consumption. This relies on the availability of occupancy information, which ... Keywords: HVAC, building energy consumption, demand driven, non-intrusive sensor, occupancy estimation

Zheng Yang; Nan Li; Burcin Becerik-Gerber; Michael Orosz

2012-03-01T23:59:59.000Z

120

A neural network-based estimation of electric fields along high voltage insulators  

Science Conference Proceedings (OSTI)

This paper presents a two-dimensional (2D) electric fields estimation program to calculate the field distribution along the leakage distance of an insulator under polluted conditions using artificial neural network (ANN). A fog type suspension insulator ... Keywords: Electric fields, Insulator, Neural networks, Pollution

Zafer Aydogmus

2009-05-01T23:59:59.000Z

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

Estimation of feedwater heater parameters based on a grey-box approach  

Science Conference Proceedings (OSTI)

The first-principle modeling of a feedwater heater operating in a coal-fired power unit is presented, along with a theoretical discussion concerning its structural simplifications, parameter estimation, and dynamical validation. The model is a part of ... Keywords: First-Principle Model, Grey-Box, Heat Exchanger, Heater, System Identification

Tomasz Barszcz; Piotr Czop

2011-12-01T23:59:59.000Z

122

3D model retrieval using accurate pose estimation and view-based similarity  

Science Conference Proceedings (OSTI)

In this paper, a novel framework for 3D object retrieval is presented. The paper focuses on the investigation of an accurate 3D model alignment method, which is achieved by combining two intuitive criteria, the plane reflection symmetry and rectilinearity. ... Keywords: 3D object retrieval, alignment, pose estimation

Apostolos Axenopoulos; Georgios Litos; Petros Daras

2011-04-01T23:59:59.000Z

123

Neural-network-based fault location estimator for transmission line protection  

Science Conference Proceedings (OSTI)

A classical task in the protection of transmission lines against short circuits is the estimation of the electrical distance to the fault and its comparison against a given threshold to determine whether the line is faulted or not. This paper presents ...

Héctor J. Altuve; Oscar L. Chacón; Ernesto Vázquez; Daniel Posadas; Edgar N. Sánchez

1999-04-01T23:59:59.000Z

124

Stable crack growth estimates based on effective crack length and crack-opening displacements  

SciTech Connect

A method was developed for estimating the amount of stable crack growth that has occurred in a fracture toughness specimen that were loaded into the plastic range and for which only a monotonically increasing load-displacement curve was measured. The method was applied to data from several pressure vessel steels. The resulting J vs ..delta..a values compare favorably with a resistance curve obtained by the multiple specimen heat-tinting technique for A533, Grade B, Class 1 steel. The method for estimating stable crack growth uses several existing concepts heretofore mainly used separately. These concepts include an approximate expression for J for the compact specimen proposed by Andrews, the effective crack length concept of McCabe and Landes, the UK representation of the crack profile as a pair of straight lines intersecting at a hinge point, and Well's expression, J = m sigma/sub y/delta, for relating the crack-opening displacement to the value of J. The value of the constraint factor, m, at the advancing crack tip is estimated by means of a relation between ductility and fracture toughness. When calculated with respect to the COD at the original fatigue crack tip, the constraint factor, m/sub o/, is found to have a value consistently close to 2.0 for compact and precracked Charpy specimens. The method of estimation requires no auxiliary load-deflection measurements or calculations, and so permits single specimen estimates of stable crack growth to be made without the necessity of making high precision unloading compliance measurements.

Merkle, J.G.; Hudson, C.E.

1979-01-01T23:59:59.000Z

125

Cloud-Base Height Estimates Using a Combination of Meteorological Satellite Imagery and Surface Reports  

Science Conference Proceedings (OSTI)

This paper describes how the combination of a satellite-derived cloud classification with surface observations can improve analysis of cloud-base height. A cloud-base retrieval that combines a cloud classification derived from visible and ...

John M. Forsythe; Thomas H. Vonder Haar; Donald L. Reinke

2000-12-01T23:59:59.000Z

126

Iterative equalization and decoding using reduced-state sequence estimation based soft-output algorithms  

E-Print Network (OSTI)

We study and analyze the performance of iterative equalization and decoding (IED) using an M-BCJR equalizer. We use bit error rate (BER), frame error rate simulations and extrinsic information transfer (EXIT) charts to study and compare the performances of M-BCJR and BCJR equalizers on precoded and non-precoded channels. Using EXIT charts, the achievable channel capacities with IED using the BCJR, M-BCJR and MMSE LE equalizers are also compared. We predict the BER performance of IED using the M-BCJR equalizer from EXIT charts and explain the discrepancy between the observed and predicted performances by showing that the extrinsic outputs of the $M$-BCJR algorithm are not true logarithmic-likelihood ratios (LLR's). We show that the true LLR's can be estimated if the conditional distributions of the extrinsic outputs are known and finally we design a practical estimator for computing the true LLR's from the extrinsic outputs of the M-BCJR equalizer.

Tamma, Raja Venkatesh

2005-05-01T23:59:59.000Z

127

SOLAR RADIATION ESTIMATION ON BUILDING ROOFS AND WEB-BASED SOLAR CADASTRE  

E-Print Network (OSTI)

The aim of this study is the estimation of solar irradiance on building roofs in complex Alpine landscapes. Very high resolution geometric models of the building roofs are generated by means of advanced automated image matching methods. Models are combined with raster and vector data sources to estimate the incoming solar radiation hitting the roofs. The methodology takes into account for atmospheric effects, site latitude and elevation, slope and aspect of the terrain as well as the effects of shadows cast by surrounding buildings, chimneys, dormers, vegetation and terrain topography. An open source software solution has been developed and applied to a study area located in a mountainous site and containing some 1250 residential, commercial and industrial buildings. The method has been validated by data collected with a pyranometer and results made available through a prototype WebGIS platform. 1.

G. Agugiaro A; Commission Ii Wg

2012-01-01T23:59:59.000Z

128

Video-based lane estimation and tracking for driver assistance: Survey, system, and evaluation  

E-Print Network (OSTI)

2002. [6] W. Enkelmann, “Video-based driver assistance—FromK. Kalaitzakis, “A survey of video processing techniques forand thermal infrared video: Algorithms and experimental

McCall, J C; Trivedi, Mohan Manubhai

2006-01-01T23:59:59.000Z

129

Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration  

Science Conference Proceedings (OSTI)

Vegetation albedo is a critical component of the Earth s climate system, yet efforts to evaluate and improve albedo parameterizations in climate models have lagged relative to other aspects of model development. Here, we calculated growing season albedos for deciduous and evergreen forests, crops, and grasslands based on over 40 site-years of data from the AmeriFlux network and compared them with estimates presently used in the land surface formulations of a variety of climate models. Generally, the albedo estimates used in land surface models agreed well with this data compilation. However, a variety of models using fixed seasonal estimates of albedo overestimated the growing season albedo of northerly evergreen trees. In contrast, climatemodels that rely on a common two-stream albedo submodel provided accurate predictions of boreal needle-leaf evergreen albedo but overestimated grassland albedos. Inverse analysis showed that parameters of the two-stream model were highly correlated. Consistent with recent observations based on remotely sensed albedo, the AmeriFlux dataset demonstrated a tight linear relationship between canopy albedo and foliage nitrogen concentration (for forest vegetation: albedo 50.0110.071%N, r250.91; forests, grassland, and maize: albedo50.0210.067%N, r250.80). However, this relationship saturated at the higher nitrogen concentrations displayed by soybean foliage. We developed similar relationships between a foliar parameter used in the two-stream albedo model and foliage nitrogen concentration. These nitrogen-based relationships can serve as the basis for a new approach to land surface albedo modeling that simplifies albedo estimation while providing a link to other important ecosystem processes.

Hollinger, D. [USDA Forest Service; Ollinger, S. V. [University of Hew Hampshire; Richardson, A. D. [University of Hew Hampshire; Martin, M. E. [University of New Hampshire; Meyers, T. P. [NOAA ATDD; Dail, D. B. [University of Maine; Scott, N. A. [Queens University, Kingston, ON, Canada; Arkebauer, T. J. [University of Nebraska, Lincoln; Baldocchi, D. D. [University of California, Berkeley; Clark, K. L. [USDA Forest Service; Curtis, Peter [Ohio State University, The, Columbus; Davis, K. J. [Pennsylvania State University; Desai, Desai Ankur R. [University of Wisconsin, Madison; Dragoni, Danilo [Indiana University; Goulden, M. L. [University of California, Irvine; Gu, Lianhong [ORNL; Katul, G. G. [Duke University; Pallardy, Stephen G. [University of Missouri; Pawu, K. T. [University of California, Davis; Schmid, H. P. [IFU, FZK IMK, Institute of Meteorology & Climate, Garmisch Partenkirchen, Germany; Stoy, P. C. [University of Edinburgh; Suyker, A. E. [University of Nebraska, Lincoln; Verma, Shashi [University of Nebraska

2009-02-01T23:59:59.000Z

130

On the use of satellite-based estimates of rainfall temporal distribution to simulate the potential for malaria transmission in rural Africa  

E-Print Network (OSTI)

[1] This paper describes the use of satellite-based estimates of rainfall to force the Hydrology, Entomology and Malaria Transmission Simulator (HYDREMATS), a hydrology-based mechanistic model of malaria transmission. We ...

Yamana, Teresa K.

131

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

132

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

NLE Websites -- All DOE Office Websites (Extended Search)

is being pushed as a priority o CNMS has had visits from P&G and Owens Corning o DOE nanocenters are developing a new web portal that will be searchable and promote the...

133

Effects of Resolution of Satellite-based Rainfall Estimates on Hydrologic Modeling Skill at Different Scales  

Science Conference Proceedings (OSTI)

Uncertainty due to resolution of current satellite-based rainfall products is believed to be an important source of error in applications of hydrologic modeling and forecasting systems. A method to account for input’s resolution and to accurately ...

Humberto Vergara; Yang Hong; Jonathan J. Gourley; Emmanouil N. Anagnostou; Viviana Maggioni; Dimitrios Stampoulis; Pierre-Emmanuel Kirstetter

134

Attenuation-Based Estimates of Rainfall Rates Aloft with Vertically Pointing Ka-Band Radars  

Science Conference Proceedings (OSTI)

An approach is suggested to retrieve low-resolution rainfall rate profiles and layer-averaged rainfall rates, Ra, from radar reflectivity measurements made by vertically pointing Ka-band radars. This approach is based on the effects of ...

Sergey Y. Matrosov

2005-01-01T23:59:59.000Z

135

The estimation of base temperature for heating and cooling degree days for Korea  

Science Conference Proceedings (OSTI)

In Korea, heating degree days (HDD) and cooling degree days (CDD) have been widely used as climatic indicators for the assessment of the impact of climate change, but arbitrary or customary base temperatures have been used for calculation of HDD ...

Kyoungmi Lee; Hee-Jeong Baek; ChunHo Cho

136

Long-Term Regional Estimates of Evapotranspiration for Mexico Based on Downscaled ISCCP Data  

Science Conference Proceedings (OSTI)

The development and evaluation of a long-term high-resolution dataset of potential and actual evapotranspiration for Mexico based on remote sensing data are described. Evapotranspiration is calculated using a modified version of the Penman–...

Justin Sheffield; Eric F. Wood; Francisco Munoz-Arriola

2010-04-01T23:59:59.000Z

137

Application of cycle-based simulation to estimate loss of logistics productivity on construction sites  

Science Conference Proceedings (OSTI)

Logistics management is a critical factor that determines the successful delivery of a construction project. The logistics activities have close connection with other logistics/construction activities, often producing hazards on site. Moreover, the policies ... Keywords: cycle-based simulation, hazard prevention, hazardous interaction, logistics productivity loss, safety

Feng Xu; Yuanbin Song; Hao Hu

2012-09-01T23:59:59.000Z

138

Effects of Channel Estimation Errors in OFDM-MIMO-Based Underwater Communications  

Science Conference Proceedings (OSTI)

State-of-the-art radio communication systems are in a large extent based on multi-carrier communication (OFDM) and multiple antennas (MIMO). In this paper the performance of such systems adapted to an underwater acoustic communication channel is assessed. ... Keywords: Acoustic communication, OFDM, MIMO

Jan Erik Hakegard; Knut Grythe

2009-05-01T23:59:59.000Z

139

Knowledge-based duty cycle estimation in wireless sensor networks: Application for sound pressure monitoring  

Science Conference Proceedings (OSTI)

Wireless sensor networks comprise an important research area and a near future for industry and communications. Wireless sensor networks contain resource-constrained sensor nodes that are powered by small batteries, limited process and memory and wireless ... Keywords: Constrained device, Fuzzy rule based system, Multi-agent system, Sound pressure, Wireless sensor network

J. C. Cuevas-Martinez; J. Canada-Bago; J. A. Fernandez-Prieto; M. A. Gadeo-Martos

2013-02-01T23:59:59.000Z

140

Bathymetry estimation using drifter-based velocity measurements on the Kootenai River, ID, USA  

Science Conference Proceedings (OSTI)

Velocity measurements from drifter GPS records are used in an ensemble-based data assimilation technique to extract the river bathymetry. The method is tested on a deep meandering reach and a shallow braided reach of the Kootenai River in Idaho, ...

Kyle C. Landon; Greg W. Wilson; H. Tuba Özkan-Haller; Jamie H. MacMahan

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.


141

Estimating the frequency of extremely energetic solar events, based on solar, stellar, lunar, and terrestrial records  

E-Print Network (OSTI)

The most powerful explosions on the Sun [...] drive the most severe space-weather storms. Proxy records of flare energies based on SEPs in principle may offer the longest time base to study infrequent large events. We conclude that one suggested proxy, nitrate concentrations in polar ice cores, does not map reliably to SEP events. Concentrations of select radionuclides measured in natural archives may prove useful in extending the time interval of direct observations up to ten millennia, but as their calibration to solar flare fluences depends on multiple poorly known properties and processes, these proxies cannot presently be used to help determine the flare energy frequency distribution. Being thus limited to the use of direct flare observations, we evaluate the probabilities of large-energy solar explosions by combining solar flare observations with an ensemble of stellar flare observations. We conclude that solar flare energies form a relatively smooth distribution from small events to large flares, while...

Schrijver, C J; Baltensperger, U; Cliver, E W; Guedel, M; Hudson, H S; McCracken, K G; Osten, R A; Peter, Th; Soderblom, D R; Usoskin, I G; Wolff, E W

2012-01-01T23:59:59.000Z

142

Reconciling estimates of the contemporary North American carbon balance among terrestrial biosphere models, atmospheric inversions and a new approach for estimating net ecosystem exchange from inventory-based data  

Science Conference Proceedings (OSTI)

While fossil fuel emissions are calculated with relatively high precision, understanding the fate of those emissions with respect to sequestration in terrestrial ecosystems requires data and methods that can reduce uncertainties in the diagnosis of land-based CO2 sinks. The wide range in the land surface flux estimates is related to a number of factors, but most generally because of the different methodologies used to develop estimates of carbon stocks and flux, and the uncertainties inherent in each approach. The alternative approaches to estimating continental scale carbon fluxes that we explored here can be broadly classified as applying a top-down or bottom-up perspective. Top-down approaches calculate land-atmosphere carbon fluxes based on atmospheric budgets and inverse modeling. Bottom-up approaches rely primarily on measurements of carbon stock changes (the inventory approach) or on spatially distributed simulations of carbon stocks and/or fluxes using process-based modeling (the forward modelapproach).

Hayes, D. J.; Turner, D. P.; Stinson, Graham; McGuire, A. David; Wei, Yaxing; West, Tristram O.; Heath, L.; deJong, B.; McConkey, Brian; Birdsey, Richard A.; Kurz, Werner; Jacobson, Andy; Huntzinger, Deborah N.; Pan, Y.; Post, W. M.; Cook, R. B.

2012-04-02T23:59:59.000Z

143

Assessing Satellite-Based Rainfall Estimates in Semiarid Watersheds Using the USDA-ARS Walnut Gulch Gauge Network and TRMM PR  

Science Conference Proceedings (OSTI)

The rain gauge network associated with the Walnut Gulch Experimental Watershed (WGEW) in southeastern Arizona provides a unique opportunity for direct comparisons of in situ measurements and satellite-based instantaneous rain rate estimates like ...

Eyal Amitai; Carl L. Unkrich; David C. Goodrich; Emad Habib; Bryson Thill

2012-10-01T23:59:59.000Z

144

Difficulties with Correcting Radar Rainfall Estimates Based on Rain Gauge Data: A Case Study of Severe Weather in Montana on 16–17 June 2007  

Science Conference Proceedings (OSTI)

The principal source of information for operational flash flood monitoring and warning issuance is weather radar–based quantitative estimates of precipitation. Rain gauges are considered truth for the purposes of validating and calibrating real-...

Steven V. Vasiloff; Kenneth W. Howard; Jian Zhang

2009-10-01T23:59:59.000Z

145

The role of GPS precipitable water vapor and atmosphere stability index in the statistically-based rainfall estimation using MTSAT data  

Science Conference Proceedings (OSTI)

A rainfall estimation method was developed based on the statistical relationships between cloud top temperature and rainfall rates acquired by both the 10.8 ?m channel of the Multi-functional Transport Satellite (MTSAT) series and the Automated ...

Dwi Prabowo Yuga Suseno; Tomohito J. Yamada

146

Plant Uptake of Organic Pollutants from Soil: A Critical Review ofBioconcentration Estimates Based on Modelsand Experiments  

SciTech Connect

The role of terrestrial vegetation in transferring chemicals from soil and air into specific plant tissues (stems, leaves, roots, etc.) is still not well characterized. We provide here a critical review of plant-to-soil bioconcentration ratio (BCR) estimates based on models and experimental data. This review includes the conceptual and theoretical formulations of the bioconcentration ratio, constructing and calibrating empirical and mathematical algorithms to describe this ratio and the experimental data used to quantify BCRs and calibrate the model performance. We first evaluate the theoretical basis for the BCR concept and BCR models and consider how lack of knowledge and data limits reliability and consistency of BCR estimates. We next consider alternate modeling strategies for BCR. A key focus of this evaluation is the relative contributions to overall uncertainty from model uncertainty versus variability in the experimental data used to develop and test the models. As a case study, we consider a single chemical, hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), and focus on variability of bioconcentration measurements obtained from 81 experiments with different plant species, different plant tissues, different experimental conditions, and different methods for reporting concentrations in the soil and plant tissues. We use these observations to evaluate both the magnitude of experimental variability in plant bioconcentration and compare this to model uncertainty. Among these 81 measurements, the variation of the plant/soil BCR has a geometric standard deviation (GSD) of 3.5 and a coefficient of variability (CV-ratio of arithmetic standard deviation to mean) of 1.7. These variations are significant but low relative to model uncertainties--which have an estimated GSD of 10 with a corresponding CV of 14.

McKone, Thomas E.; Maddalena, Randy L.

2007-01-01T23:59:59.000Z

147

Terminal phase vision-based target recognition and 3d pose estimation for a tail-sitter, vertical takeoff and landing unmanned air vehicle  

Science Conference Proceedings (OSTI)

This paper presents an approach to accurately identify landing targets and obtain 3D pose estimates for vertical takeoff and landing unmanned air vehicles via computer vision methods. The objective of this paper is to detect and recognize a pre-known ... Keywords: computer vision, moment invariants, parallel lines, perspective transformation and vision-based autonomous landing, tail-sitter vertical takeoff and landing unmanned air vehicle, target identification/detection, vanishing points, vision-based pose/attitude estimation

Allen C. Tsai; Peter W. Gibbens; R. Hugh Stone

2006-12-01T23:59:59.000Z

148

Reconciling estimates of the contemporary North American carbon balance among terrestrial biosphere models, atmospheric inversions and a new approach for estimating net ecosystem exchange from inventory-based data  

Science Conference Proceedings (OSTI)

We develop an approach for estimating net ecosystem exchange (NEE) using inventory-based information over North America (NA) for a recent 7-year period (ca. 2000 2006). The approach notably retains information on the spatial distribution of NEE, or the vertical exchange between land and atmosphere of all non-fossil fuel sources and sinks of CO2, while accounting for lateral transfers of forest and crop products as well as their eventual emissions. The total NEE estimate of a 327 252 TgC yr1 sink for NA was driven primarily by CO2 uptake in the Forest Lands sector (248 TgC yr1), largely in the Northwest and Southeast regions of the US, and in the Crop Lands sector (297 TgC yr1), predominantly in the Midwest US states. These sinks are counteracted by the carbon source estimated for the Other Lands sector (+218 TgC yr1), where much of the forest and crop products are assumed to be returned to the atmosphere (through livestock and human consumption). The ecosystems of Mexico are estimated tobe a small net source (+18 TgC yr1) due to land use change between 1993 and 2002. We compare these inventorybased estimates with results from a suite of terrestrial biosphere and atmospheric inversion models, where the mean continental-scale NEE estimate for each ensemble is 511 TgC yr1 and 931 TgC yr1, respectively. In the modeling approaches, all sectors, including Other Lands, were generally estimated to be a carbon sink, driven in part by assumed CO2 fertilization and/or lack of consideration of carbon sources from disturbances and product emissions. Additional fluxes not measured by the inventories, although highly uncertain, could add an additional 239 TgC yr1 to the inventory-based NA sink estimate, thus suggesting some convergence with the modeling approaches.

Hayes, Daniel J [ORNL; Turner, David P [Oregon State University, Corvallis; Stinson, Graham [Pacific Forestry Centre, Canadian Forest Service; Mcguire, David [University of Alaska; Wei, Yaxing [ORNL; West, Tristram O. [Joint Global Change Research Institute, PNNL; Heath, Linda S. [USDA Forest Service; De Jong, Bernardus [ECOSUR; McConkey, Brian G. [Agriculture and Agri-Food Canada; Birdsey, Richard A. [U.S. Department of Agriculture Forest Service; Kurz, Werner [Canadian Forest Service; Jacobson, Andrew [NOAA ESRL and CIRES; Huntzinger, Deborah [University of Michigan; Pan, Yude [U.S. Department of Agriculture Forest Service; Post, Wilfred M [ORNL; Cook, Robert B [ORNL

2012-01-01T23:59:59.000Z

149

An algorithm to estimate soil moisture over vegetated areas based on in situ and remote sensing information  

Science Conference Proceedings (OSTI)

An algorithm is proposed for estimating soil moisture over vegetated areas. The algorithm uses in situ and remote sensing information and statistical tools to estimate soil moisture at 1 km spatial resolution and at 20 cm ...

N. D. Ramírez-Beltran, C. Calderón-Arteaga, E. Harmsen, R. Vasquez, J. Gonzalez

2010-05-01T23:59:59.000Z

150

A Robust Error-Based Rain Estimation Method for Polarimetric Radar. Part I: Development of a Method  

Science Conference Proceedings (OSTI)

The algorithms used to estimate rainfall from polarimetric radar variables show significant variance in error characteristics over the range of naturally occurring rain rates. As a consequence, to improve rainfall estimation accuracy using ...

Acacia S. Pepler; Peter T. May; Merhala Thurai

2011-10-01T23:59:59.000Z

151

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation  

Science Conference Proceedings (OSTI)

Context: In software industry, project managers usually rely on their previous experience to estimate the number men/hours required for each software project. The accuracy of such estimates is a key factor for the efficient application of human resources. ... Keywords: Feature selection, Genetic algorithms, Regression, Software effort estimation, Support vector regression

Adriano L. I. Oliveira; Petronio L. Braga; Ricardo M. F. Lima; Márcio L. Cornélio

2010-11-01T23:59:59.000Z

152

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

DOE Green Energy (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

153

Methods for dependency estimation and system unavailability evaluation based on failure data statistics. Volume 1, Summary report  

SciTech Connect

This report introduces a new perspective on the basic concept of dependent failures where the definition of dependency is based on clustering in failure times of similar components. This perspective has two significant implications: first, it relaxes the conventional assumption that dependent failures must be simultaneous and result from a severe shock; second, it allows the analyst to use all the failures in a time continuum to estimate the potential for multiple failures in a window of time (e.g., a test interval), therefore arriving at a more accurate value for system unavailability. In addition, the models developed here provide a method for plant-specific analysis of dependency, reflecting the plant-specific maintenance practices that reduce or increase the contribution of dependent failures to system unavailability. The proposed methodology can be used for screening analysis of failure data to estimate the fraction of dependent failures among the failures. In addition, the proposed method can evaluate the impact of the observed dependency on system unavailability and plant risk. The formulations derived in this report have undergone various levels of validations through computer simulation studies and pilot applications. The pilot applications of these methodologies showed that the contribution of dependent failures of diesel generators in one plant was negligible, while in another plant was quite significant. It also showed that in the plant with significant contribution of dependency to Emergency Power System (EPS) unavailability, the contribution changed with time. Similar findings were reported for the Containment Fan Cooler breakers. Drawing such conclusions about system performance would not have been possible with any other reported dependency methodologies.

Azarm, M.A.; Hsu, F.; Martinez-Guridi, G. [Brookhaven National Lab., Upton, NY (US); Vesely, W.E. [Science Applications International Corp., Dublin, OH (US)

1993-07-01T23:59:59.000Z

154

On the Use of Wavelet-Based Denoising to Improve Power Delay Profile Estimates from 1.8 GHz Indoor Wideband Measurements  

Science Conference Proceedings (OSTI)

This work presents an alternative processing scheme to improve measurement-based power delay profiles (PDP) estimates, using wavelet-based denoising. The usual PDP processing comprises cutting off all the data below a previously determined flat noise ... Keywords: 1.8 GHz, indoor wideband channel, measurements, power delay profile, wavelet denoising

M. H. Dias; G. L. Siqueira

2005-01-01T23:59:59.000Z

155

Prescriber-consumer social network analysis for risk level re-estimation based on an asymmetrical rating exchange model  

Science Conference Proceedings (OSTI)

In this paper, we present a novel approach to re-estimate the risk level of prescribers and consumers (doctors and patients) that were previously evaluated by various independent Risk Analysis Systems (RAS). This is achieved by taking into consideration ... Keywords: fraud detection, risk level estimation, social network analysis

Yingsong Hu, D. Wayne Murray, Yin Shan, Alison Sutinen, B. Sumudu U. Mendis, MingJian Tang

2011-12-01T23:59:59.000Z

156

Ultra-Wideband Time-of-Arrival and Angle-of-Arrival Estimation Using a Signal Model Based on Measurements  

Science Conference Proceedings (OSTI)

This paper presents an ultra wideband (UWB) channel sounding scheme with a technique for estimating time of arrival (TOA) and angle of arrival (AOA) using measurement signals. Since the power spectrum over the UWB bandwidth can be measured in advance, ... Keywords: Cramér-Rao bound, multiple signal classification, radio channel measurement and estimation, ultra-wideband propagation

Naohiko Iwakiri; Takehiko Kobayashi

2007-11-01T23:59:59.000Z

157

Product Pricing in TAC SCM using Adaptive Real-Time Probability of Acceptance Estimations based on Economic Regimes  

E-Print Network (OSTI)

is fulfilled. In the sales process configuration used as benchmark in our research, price trends are estimated); trends = getTrends(d, g); // Estimate parameters using RBFNs priceDistr = estParams(regPriceDistr, getDistr, error, regProbs); // Retrieve allocated quota quota = getQuota(d, g, median, trends); // Determine price

Ketter, Wolfgang

158

Measures and techniques for effort estimation of web applications: an empirical study based on a single-company dataset  

Science Conference Proceedings (OSTI)

Effort estimation is a key management activity which goes on throughout a software project being fundamental for accurate project planning and for allocating resources adequately. Thus, it is important to identify techniques and measures that can support ... Keywords: effort estimation, empirical validation, size measures, web applications

Sergio Di Martino; Filomena Ferrucci; Carmine Gravino; Emilia Mendes

2009-06-01T23:59:59.000Z

159

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman, the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of ...

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

160

Attenuation-based estimation of patient size for the purpose of size specific dose estimation in CT. Part II. Implementation on abdomen and thorax phantoms using cross sectional CT images and scanned projection radiograph images  

SciTech Connect

Purpose: To estimate attenuation using cross sectional CT images and scanned projection radiograph (SPR) images in a series of thorax and abdomen phantoms. Methods: Attenuation was quantified in terms of a water cylinder with cross sectional area of A{sub w} from both the CT and SPR images of abdomen and thorax phantoms, where A{sub w} is the area of a water cylinder that would absorb the same dose as the specified phantom. SPR and axial CT images were acquired using a dual-source CT scanner operated at 120 kV in single-source mode. To use the SPR image for estimating A{sub w}, the pixel values of a SPR image were calibrated to physical water attenuation using a series of water phantoms. A{sub w} and the corresponding diameter D{sub w} were calculated using the derived attenuation-based methods (from either CT or SPR image). A{sub w} was also calculated using only geometrical dimensions of the phantoms (anterior-posterior and lateral dimensions or cross sectional area). Results: For abdomen phantoms, the geometry-based and attenuation-based methods gave similar results for D{sub w}. Using only geometric parameters, an overestimation of D{sub w} ranging from 4.3% to 21.5% was found for thorax phantoms. Results for D{sub w} using the CT image and SPR based methods agreed with each other within 4% on average in both thorax and abdomen phantoms. Conclusions: Either the cross sectional CT or SPR images can be used to estimate patient attenuation in CT. Both are more accurate than use of only geometrical information for the task of quantifying patient attenuation. The SPR based method requires calibration of SPR pixel values to physical water attenuation and this calibration would be best performed by the scanner manufacturer.

Wang Jia; Christner, Jodie A.; Duan Xinhui; Leng Shuai; Yu Lifeng; McCollough, Cynthia H. [Department of Radiology, Mayo Clinic, Rochester, Minnesota 55905 (United States)

2012-11-15T23:59:59.000Z

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.


161

A Simplified Diagnostic Model of Orographic Rainfall for Enhancing Satellite-Based Rainfall Estimates in Data-Poor Regions  

Science Conference Proceedings (OSTI)

An extension of Sinclair's diagnostic model of orographic precipitation (“VDEL”) is developed for use in data-poor regions to enhance rainfall estimates. This extension (VDELB) combines a 2D linearized internal gravity wave calculation with the ...

Chris Funk; Joel Michaelsen

2004-10-01T23:59:59.000Z

162

A Surface Wind Model–Based Method to Estimate Rain-Induced Radar Path Attenuation over Ocean  

Science Conference Proceedings (OSTI)

The rainfall retrieved using the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) depends on estimating the radar signal path-integrated attenuation using the surface reference technique (SRT). This technique assumes uniform ...

Li Li; Eastwood Im; Stephen L. Durden; Ziad S. Haddad

2002-05-01T23:59:59.000Z

163

Model-Based Estimation of Dynamic Effect on Twenty-First-Century Precipitation for Swiss River Basins  

Science Conference Proceedings (OSTI)

Projections of twenty-first-century precipitation for seven Swiss river basins are generated by linking high-resolution (2 km × 2 km) radar-estimated precipitation observations to a global climate model (GCM) via synoptic weather patterns. The use ...

James V. Rudolph; Katja Friedrich; Urs Germann

2012-04-01T23:59:59.000Z

164

An assessment of density-based fine-scale methods for estimating diapycnal diffusivity in the Southern Ocean  

Science Conference Proceedings (OSTI)

Fine-scale estimates of diapycnal diffusivity ? are computed from CTD and XCTD data sampled in Drake Passage and in the eastern Pacific sector of the Southern Ocean and are compared against microstructure measurements from the same times and ...

Marina Frants; Gillian M. Damerell; Sarah T. Gille; Karen J. Heywood; Jennifer MacKinnon; Janet Sprintall

165

Estimation of Daily Mean Photosynthetically Active Radiation under All-Sky Conditions Based on Relative Sunshine Data  

Science Conference Proceedings (OSTI)

Photosynthetically active radiation (PAR) is absorbed by plants to carry out photosynthesis. Its estimation is important for many applications such as ecological modeling. In this study, a broadband transmittance scheme for solar radiation at the ...

Jun Qin; Kun Yang; Shunlin Liang; Wenjun Tang

2012-01-01T23:59:59.000Z

166

A First-Guess Feature-Based Algorithm for Estimating Wind Speed in Clear-Air Doppler Radar Spectra  

Science Conference Proceedings (OSTI)

Algorithms for deriving winds from profiler range-gated spectra currently rely on consensus averaging to remove outliers from the subhourly velocity estimates. For persistent ground clutter in the echo return that is stronger than the atmospheric ...

E. E. Clothiaux; R. S. Penc; D. W. Thomson; T. P. Ackerman; S. R. Williams

1994-08-01T23:59:59.000Z

167

Ensemble-Based Exigent Analysis. Part II: Using Ensemble Regression to Estimate Conditions Antecedent to Worst-Case Forecast Damage Scenarios  

Science Conference Proceedings (OSTI)

In Part I of this series on ensemble-based exigent analysis, a Lagrange multiplier minimization technique is used to estimate the exigent damage state (ExDS), the “worst case” with respect to a user-specified damage function and confidence level. ...

Daniel Gombos; Ross N. Hoffman

2013-06-01T23:59:59.000Z

168

Performance Assessment of a New Stationarity-based Parameter Estimation Method with a Simplified Land Surface Model Using In-situ and Remotely Sensed Surface States  

Science Conference Proceedings (OSTI)

We evaluate the performance of a new stationarity-based method for parameter estimation of a simple coupled water and energy balance model using in-situ and remotely sensed surface soil moisture (from AMSR-E) and surface temperature (from a ...

Jian Sun; Guido D. Salvucci

169

Fuzzy Clustering Based Multi-model Support Vector Regression State of Charge Estimator for Lithium-ion Battery of Electric Vehicle  

Science Conference Proceedings (OSTI)

Based on fuzzy clustering and multi-model support vector regression, a novel lithium-ion battery state of charge (SOC) estimating model for electric vehicle is proposed. Fuzzy C-means and Subtractive clustering combined algorithm is employed to implement ...

Xiaosong Hu; Fengchun Sun

2009-08-01T23:59:59.000Z

170

Hawaii demand-side management resource assessment. Final report, Reference Volume 2: Final residential and commercial building prototypes and DOE-2.1E developed UECs and EUIs; Part 2  

SciTech Connect

This section contains the detailed measured impact results and market segment data for each DSM case examined for this building type. A complete index of all base and measure cases defined for this building type is shown first. This index represents an expansion of the base and measure matrix presented in Table 1 (residential) or Table 2 (commercial) for the applicable sector. Following this index, a summary report sheet is provided for each DSM measure case in the order shown in the index. The summary report sheet contains a host of information and selected graphs which define and depict the measure impacts and outline the market segment data assumptions utilized for each case in the DBEDT DSM Forecasting models. The variables and figures included in the summary report sheet are described. Numerous tables and figures are included.

NONE

1995-04-01T23:59:59.000Z

171

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

E-Print Network (OSTI)

previously been incorporated in estimating capacity of VRLA batteries by considering the voltage discharge over the entire life of a particular battery (Battery 0009) was separated into a `training' date set have also been made on sealed lead acid (SLA) cells and valve regulated lead acid (VRLA) batteries

172

An Estimate of the Lorenz Energy Cycle for the World Ocean Based on the STORM/NCEP Simulation  

Science Conference Proceedings (OSTI)

This paper presents an estimate of the oceanic Lorenz energy cycle derived from a simulation forced by 6-hourly fluxes obtained from NCEP–NCAR reanalysis-1. The total rate of energy generation amounts to 6.6 TW, of which 1.9 TW is generated by ...

Jin-Song von Storch; Carsten Eden; Irina Fast; Helmuth Haak; Daniel Hernández-Deckers; Ernst Maier-Reimer; Jochem Marotzke; Detlef Stammer

2012-12-01T23:59:59.000Z

173

2546 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 54, NO. 7, JULY 2006 Training-Based and Semiblind Channel Estimation for  

E-Print Network (OSTI)

. Jagannatham, and Bhaskar D. Rao, Fellow, IEEE Abstract--This paper is a comparative study of training-bearing spectrally white data symbols. Employing matrix perturbation theory, we develop expressions for the mean of elements, , grows linearly with . Added to this, the complexity of reliably estimating the channel

Jagannatham, Aditya K.

174

Use of a ground-based scanning lidar for estimation of biophysical properties of western larch (Larix occidentalis)  

Science Conference Proceedings (OSTI)

Ground-based laser scanners represent a relatively new technology that promises to enhance the ability to remotely sense biophysical properties of vegetation. In this study, we utilized a commercially available discrete-return ground-based laser scanning ...

R. Clawges; L. Vierling; M. Calhoon; M. Toomey

2007-09-01T23:59:59.000Z

175

Analytical Estimation of CO2 Storage Capacity in Depleted Oil and Gas Reservoirs Based on Thermodynamic State Functions  

E-Print Network (OSTI)

Numerical simulation has been used, as common practice, to estimate the CO2 storage capacity of depleted reservoirs. However, this method is time consuming, expensive and requires detailed input data. This investigation proposes an analytical method to estimate the ultimate CO2 storage in depleted oil and gas reservoirs by implementing a volume constrained thermodynamic equation of state (EOS) using the reservoir?s average pressure and fluid composition. This method was implemented in an algorithm which allows fast and accurate estimations of final storage, which can be used to select target storage reservoirs, and design the injection scheme and surface facilities. Impurities such as nitrogen and carbon monoxide, usually contained in power plant flue gases, are considered in the injection stream and can be handled correctly in the proposed algorithm by using their thermodynamic properties into the EOS. Results from analytical method presented excellent agreement with those from reservoir simulation. Ultimate CO2 storage capacity was predicted with an average difference of 1.3%, molar basis, between analytical and numerical methods; average oil, gas, and water saturations were also matched. Additionally, the analytical algorithm performed several orders of magnitude faster than numerical simulation, with an average of 5 seconds per run.

Valbuena Olivares, Ernesto

2011-12-01T23:59:59.000Z

176

Microsoft Word - UEC_Minutes_08Mar13.docx  

NLE Websites -- All DOE Office Websites (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

177

Microsoft Word - UEC_Minutes_Dec07.docx  

NLE Websites -- All DOE Office Websites (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

178

Microsoft Word - UEC_Minutes_Jan04_2013.docx  

NLE Websites -- All DOE Office Websites (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

179

Microsoft Word - UEC_Minutes_Nov09_2012.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

for a poster session and shortening this to one hour long, as well as accommodating a banquet in this time slot might be difficult. Outreach Subcommittee - Mandy Rominsky The...

180

Microsoft Word - UEC_Minutes_01Feb13.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

February 1, 2013 Attending Mary Anne Cummings, Craig Group, Sergo Jindariani, Daniel Kaplan, Greg Pawloski, Breese Quinn, Lee Roberts, Mandy Rominsky, Gregory Snow, Nikos Varelas,...

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

Microsoft Word - UEC Agenda-04Jan2013.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

of Communication - Katie Yurkewicz 01:30 - 01:45 pm Preparations for the Washington Trip - Barb Book 01:45 - 03:00 pm Subcommittee Reports and Plans 03:00 - 03:30 pm News...

182

Microsoft Word - UEC Agenda-14jun2013.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

2NW (Black Hole) Friday June 14, 2013 08:30 am - 12:00 pm Agenda 08:30 - 09:00 am Breakfast 09:00 - 09:30 am News from the Directorate - Pier Oddone and Young-Kee Kim 09:30 - 10:00...

183

Microsoft Word - UEC Agenda-07Dec2012.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

2NW Wilson Hall, Black Hole Friday December 7, 2012 12:00 - 04:00 pm Agenda 12:00 - 12:30 pm Lunch 12:30 - 01:00 pm News from the Directorate - Young-Kee Kim 01:00 - 01:30 pm News...

184

Microsoft Word - UEC Agenda-19Oct2012.doc  

NLE Websites -- All DOE Office Websites (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

185

Microsoft Word - UEC-CC_090413_min_TEH.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe * User Meeting planning process and results (Hmelo) o Lessons learned: what...

186

Microsoft Word - UEC-CC_100213_min_TEH.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

(Imperial College, London) CNMS (non-members) - Tony Haynes, Viviane Schwartz, Sandy Lowe, Karren More * Welcome ShaRE observer (Hmelo) * BES Review o Preliminary feedback...

187

Microsoft Word - UEC-CC_010610_min.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

- Hai-Ping Cheng (University of Florida) CNMS (non-members) Tony Haynes; Laura Edwards; Sandy Lowe Following introductions, the floor was opened to discuss items on the agenda: -...

188

Microsoft Word - UEC_Minutes_Oct19_2012.docx  

NLE Websites -- All DOE Office Websites (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,

189

Bias Adjustment of Satellite Precipitation Estimation Using Ground-Based Measurement: A Case Study Evaluation over the Southwestern United States  

Science Conference Proceedings (OSTI)

Reliable precipitation measurement is a crucial component in hydrologic studies. Although satellite-based observation is able to provide spatial and temporal distribution of precipitation, the measurements tend to show systematic bias. This paper ...

Farid Ishak Boushaki; Kuo-Lin Hsu; Soroosh Sorooshian; Gi-Hyeon Park; Shayesteh Mahani; Wei Shi

2009-10-01T23:59:59.000Z

190

Estimations of Cloud Optical Thickness from Ground-Based Measurements of Incoming Solar Radiation in the Arctic  

Science Conference Proceedings (OSTI)

A technique for evaluation of cloud optical thickness (plant-parallel, homogeneous layer) from ground-based measurements of incoming solar irradiance using a simple radiation model is introduced. The sensitivities of downward and upward fluxes of ...

E. Leontyeva; K. Stamnes

1994-04-01T23:59:59.000Z

191

Ensemble-Based Exigent Analysis. Part I: Estimating Worst-Case Weather-Related Forecast Damage Scenarios  

Science Conference Proceedings (OSTI)

Exigent analysis supplements an ensemble forecast of weather-related damage with a map of the worst-case scenario (WCS), a multivariate confidence bound of the damage. For multivariate Gaussian ensembles, ensemble-based exigent analysis uses a ...

Daniel Gombos; Ross N. Hoffman

2013-06-01T23:59:59.000Z

192

Comparison of High-Cloud Characteristics as Estimated by Selected Spaceborne Observations and Ground-Based Lidar Datasets  

Science Conference Proceedings (OSTI)

The characterization of high clouds as performed from selected spaceborne observations is assessed in this article by employing a number of worldwide ground-based lidar multiyear datasets as reference. Among the latter, the ground lidar ...

Artemio Plana-Fattori; Gérard Brogniez; Patrick Chervet; Martial Haeffelin; Olga Lado-Bordowsky; Yohann Morille; Frédéric Parol; Jacques Pelon; Antoine Roblin; Geneviève Sèze; Claudia Stubenrauch

2009-06-01T23:59:59.000Z

193

Seasonal Variation of Aerosol Direct Radiative Forcing and Optical Properties Estimated from Ground-Based Solar Radiation Measurements  

Science Conference Proceedings (OSTI)

The surface direct radiative forcing and optical properties of aerosols have been analyzed from a ground-based solar radiation measurement, which was made under clear-sky conditions in Tsukuba, Japan, over two years from April 1997 to March 1999. ...

Tomoaki Nishizawa; Shoji Asano; Akihiro Uchiyama; Akihiro Yamazaki

2004-01-01T23:59:59.000Z

194

An intelligent modified fuzzy c-means based algorithm for bias estimation and segmentation of brain MRI  

Science Conference Proceedings (OSTI)

The segmentation of magnetic resonance images (MRI) is a challenging problem that has received an enormous amount of attention lately. Many researchers have applied various techniques however fuzzy c-means (FCM) based algorithms have produced better ... Keywords: FCM, MRI, Medical image processing, Segmentation

M. Y. Siyal; Lin Yu

2005-10-01T23:59:59.000Z

195

Estimation of Citation-Based Scholarly Activity Among Radiation Oncology Faculty at Domestic Residency-Training Institutions: 1996-2007  

SciTech Connect

Purpose: Advancement in academic radiation oncology is largely contingent on research productivity and the perceived external influence of an individual's scholarly work. The purpose of this study was to use the Hirsch index (h-index) to estimate the research productivity of current radiation oncology faculty at U.S. academic institutions between 1996 and 2007. Methods and Materials: We performed bibliometric citation database searches for available radiation oncology faculty at domestic residency-training institutions (n = 826). The outcomes analyzed included the total number of manuscripts, total number of citations, and the h-index between 1996 and 2007. Analysis of overall h-index rankings with stratification by academic ranking, junior vs. senior faculty status, and gender was performed. Results: Of the 826 radiation oncologists, the mean h-index was 8.5. Of the individuals in the top 10% by the h-index, 34% were chairpersons, 88% were senior faculty, and 13% were women. A greater h-index was associated with a higher academic ranking and senior faculty status. Recursive partitioning analysis revealed an h-index threshold of 15 (p <0.0001) as an identified breakpoint between the senior and junior faculty. Overall, women had lower h-indexes compared with men (mean, 6.4 vs. 9.4); however, when stratified by academic ranking, the gender differential all but disappeared. Conclusion: Using the h-index as a partial surrogate for research productivity, it appears that radiation oncologists in academia today comprise a prolific group, however, with a highly skewed distribution. According to the present analysis, the h-index correlated with academic ranking. Thus, it potentially has utility in the process of promotion decisions. Overall, women in radiation oncology were less academically productive than men; the possible reasons for the gender differential are discussed.

Choi, Mehee [Department of Radiation Medicine, Oregon Health and Science University, Portland, OR (United States); Fuller, Clifton D. [Department of Radiation Medicine, Oregon Health and Science University, Portland, OR (United States); Department of Radiation Oncology, Division of Radiological Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Department of Radiology, Division of Radiological Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Thomas, Charles R. [Department of Radiation Medicine, Oregon Health and Science University, Portland, OR (United States)], E-mail: thomasch@ohsu.edu

2009-05-01T23:59:59.000Z

196

Estimating the Influence of Evaporation and Moisture-Flux Convergence upon Seasonal Precipitation Rates. Part II: An Analysis for North America Based upon the NCEP–DOE Reanalysis II Model  

Science Conference Proceedings (OSTI)

In this paper, a diagnostic metric—termed the local-convergence ratio—is used to analyze the contribution of evaporation and atmospheric moisture-flux convergence to model-based estimates of climatological precipitation over the North American ...

Bruce T. Anderson; Alex C. Ruane; John O. Roads; Masao Kanamitsu

2009-08-01T23:59:59.000Z

197

Accuracy of two simple methods for estimation of thyroidal {sup 131}I kinetics for dosimetry-based treatment of Graves' disease  

Science Conference Proceedings (OSTI)

One of the major challenges to the more widespread use of individualized, dosimetry-based radioiodine treatment of Graves' disease is the development of a reasonably fast, simple, and cost-effective method to measure thyroidal {sup 131}I kinetics in patients. Even though the fixed activity administration method does not optimize the therapy, giving often too high or too low a dose to the gland, it provides effective treatment for almost 80% of patients without consuming excessive time and resources. In this article two simple methods for the evaluation of the kinetics of {sup 131}I in the thyroid gland are presented and discussed. The first is based on two measurements 4 and 24 h after a diagnostic {sup 131}I administration and the second on one measurement 4 h after such an administration and a linear correlation between this measurement and the maximum uptake in the thyroid. The thyroid absorbed dose calculated by each of the two methods is compared to that calculated by a more complete {sup 131}I kinetics evaluation, based on seven thyroid uptake measurements for 35 patients at various times after the therapy administration. There are differences in the thyroid absorbed doses between those derived by each of the two simpler methods and the ''reference'' value (derived by more complete uptake measurements following the therapeutic {sup 131}I administration), with 20% median and 40% 90-percentile differences for the first method (i.e., based on two thyroid uptake measurements at 4 and 24 h after {sup 131}I administration) and 25% median and 45% 90-percentile differences for the second method (i.e., based on one measurement at 4 h post-administration). Predictably, although relatively fast and convenient, neither of these simpler methods appears to be as accurate as thyroid dose estimates based on more complete kinetic data.

Traino, A. C.; Xhafa, B. [Sezione di Fisica Medica, U.O. Fisica Sanitaria, Azienda Ospedaliero-Universitaria Pisana, via Roma n. 67, Pisa 56125 (Italy); Sezione di Fisica Medica, U.O. Fisica Sanitaria, Azienda Ospedaliero-Universitaria Pisana, via Roma n. 67, Pisa 56125 (Italy) and Faculty of Medicine, University of Prishtina, Bulevardi i deeshmoreeve, 10000 Prishtinee, Republic of Kosova (Macedonia, The Former Yugoslav Republic of)

2009-04-15T23:59:59.000Z

198

User`s guide for the KBERT 1.0 code: For the knowledge-based estimation of hazards of radioactive material releases from DOE nuclear facilities  

Science Conference Proceedings (OSTI)

The possibility of worker exposure to radioactive materials during accidents at nuclear facilities is a principal concern of the DOE. The KBERT software has been developed at Sandia National Laboratories under DOE support to address this issue by assisting in the estimation of risks posed by accidents at chemical and nuclear facilities. KBERT is an acronym for Knowledge-Based system for Estimating hazards of Radioactive material release Transients. The current prototype version of KBERT focuses on calculation of doses and consequences to in-facility workers due to accidental releases of radioactivity. This report gives detailed instructions on how a user who is familiar with the design, layout and potential hazards of a facility can use KBERT to assess the risks to workers in that facility. KBERT is a tool that allows a user to simulate possible accidents and observe the predicted consequences. Potential applications of KBERT include the evaluation of the efficacy of evacuation practices, worker shielding, personal protection equipment and the containment of hazardous materials.

Browitt, D.S.; Washington, K.E.; Powers, D.A. [and others

1995-07-01T23:59:59.000Z

199

Rainfall-Rate Estimation Using Gaussian Mixture Parameter Estimator: Training and Validation  

Science Conference Proceedings (OSTI)

This study develops a Gaussian mixture rainfall-rate estimator (GMRE) for polarimetric radar-based rainfall-rate estimation, following a general framework based on the Gaussian mixture model and Bayes least squares estimation for weather radar–...

Zhengzheng Li; Yan Zhang; Scott E. Giangrande

2012-05-01T23:59:59.000Z

200

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

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

Density estimation for data with rounding errors  

Science Conference Proceedings (OSTI)

Rounding of data is common in practice. The problem of estimating the underlying density function based on data with rounding errors is addressed. A parametric maximum likelihood estimator and a nonparametric bootstrap kernel density estimator are proposed. ... Keywords: Bootstrapping, Deconvolution density estimation, Fast Fourier transformation, Kernel density estimation, Measurement error

B. Wang, W. Wertelecki

2013-09-01T23:59:59.000Z

202

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

SciTech Connect

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

203

Faster Phase Estimation  

E-Print Network (OSTI)

We develop several algorithms for performing quantum phase estimation based on basic measurements and classical post-processing. We present a pedagogical review of quantum phase estimation and simulate the algorithm to numerically determine its scaling in circuit depth and width. We show that the use of purely random measurements requires a number of measurements that is optimal up to constant factors, albeit at the cost of exponential classical post-processing; the method can also be used to improve classical signal processing. We then develop a quantum algorithm for phase estimation that yields an asymptotic improvement in runtime, coming within a factor of log* of the minimum number of measurements required while still requiring only minimal classical post-processing. The corresponding quantum circuit requires asymptotically lower depth and width (number of qubits) than quantum phase estimation.

Krysta M. Svore; Matthew B. Hastings; Michael Freedman

2013-04-02T23:59:59.000Z

204

A Bayesian Framework for Combining Valuation Estimates  

E-Print Network (OSTI)

Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

Kenton K. Yee

2007-07-24T23:59:59.000Z

205

Extending the Capabilities of High-Frequency Rainfall Estimation from Geostationary-Based Satellite Infrared via a Network of Long-Range Lightning Observations  

Science Conference Proceedings (OSTI)

An algorithm for real-time precipitation estimation that combines satellite infrared with long-range lightning network observations is developed. The emphasis is on enhancing current capabilities in continuous rainfall monitoring over large ...

Carlos A. Morales; Emmanouil N. Anagnostou

2003-04-01T23:59:59.000Z

206

An Improved Method for Estimating Global Evapotranspiration Based on Satellite Determination of Surface Net Radiation, Vegetation Index, Temperature, and Soil Moisture  

Science Conference Proceedings (OSTI)

A simple and accurate method to estimate regional or global latent heat of evapotranspiration (ET) from remote sensing data is essential. The authors proposed a method in an earlier study that utilized satellite-determined surface net radiation (...

Kaicun Wang; Shunlin Liang

2008-08-01T23:59:59.000Z

207

Retrieving the Root-Zone Soil Moisture from Surface Soil Moisture or Temperature Estimates: A Feasibility Study Based on Field Measurements  

Science Conference Proceedings (OSTI)

The bulk soil water content must be estimated accurately for short- and medium-term meteorological modeling. A method is proposed to retrieve the total soil moisture content as well as the field capacity from observed surface parameters such as ...

J-C. Calvet; J. Noilhan; P. Bessemoulin

1998-04-01T23:59:59.000Z

208

How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods  

Science Conference Proceedings (OSTI)

In many service industries, companies compete with each other on the basis of the waiting time their customers experience, along with other strategic instruments such as the price they charge for their service. The objective of this paper is to conduct ... Keywords: choice models, operations marketing interface, queueing, service competition, structural estimation

Gad Allon; Awi Federgruen; Margaret Pierson

2011-10-01T23:59:59.000Z

209

Estimation, Economic methodology  

E-Print Network (OSTI)

In this paper I analyse the main strengths and weaknesses of agent-based computational models. I first describe how agent-based simulations can complement more traditional modelling techniques. Then, I rationalise the main theoretical critiques against the use of simulation, which point to the following problematic areas: (i) interpretation of the simulation dynamics, (ii) estimation of the simulation model, and (iii) generalisation of the results. I show that there exist solutions for all these issues. Along the way, I clarify some confounding differences in terminology between the computer science and the economic literature.

Matteo Richiardi; Laboratorio Riccardo; Revelli Centre; Employment Studies; I’m Indebted Francesco Devicienti; Roberto Leombruni; Bruno Contini For Their

2004-01-01T23:59:59.000Z

210

Italian Association of Energy EconomistsYardstick Regulation of Electricity Distribution Utilities Based on the Estimation of an Average Cost Function *  

E-Print Network (OSTI)

In this paper we estimate an average-cost function for a panel of 45 Swiss electricity distribution utilities as a basis for yardstick regulation of the distribution-network access prices. Unlike the existing literature, we separate the electricity sales function of utilities from the network operation function. Several exogenous variables measuring the heterogeneity of the service areas were included in the model specification in order to allow the regulator to set differentiated benchmark prices incorporating this heterogeneity. We can identify different exogenous service area characteristics that affect average cost. These are the load factor, the customer density and the output density of different consumer groups. Moreover, the estimation results indicate the existence of significant economies of scale; i.e. most of the Swiss utilities in our sample are too small to reach minimum efficient scale. However, to give the small utilities incentives to merge the size of the utilities must not be included in the yardstick calculation. 1.

Massimo Filippini; Jörg Wild; Massimo Filippini; Jörg Wild

1999-01-01T23:59:59.000Z

211

Estimation of Radiation Doses in the Marshall Islands Based on Whole Body Counting of Cesium-137 (137Cs) and Plutonium Urinalysis  

SciTech Connect

Under the auspices of the U.S. Department of Energy (USDOE), researchers from the Lawrence Livermore National Laboratory (LLNL) have recently implemented a series of initiatives to address long-term radiological surveillance needs at former nuclear test sites in the Republic of the Marshall Islands (RMI). The aim of this radiological surveillance monitoring program (RSMP) is to provide timely radiation protection for individuals in the Marshall Islands with respect to two of the most important internally deposited fallout radionuclides-cesium-137 ({sup 137}Cs) and long-lived isotopes 239 and 240 of plutonium ({sup 239+240}Pu) (Robison et al., 1997 and references therein). Therefore, whole-body counting for {sup 137}Cs and a sensitive bioassay for the presence of {sup 239+240}Pu excreted in urine were adopted as the two most applicable in vivo analytical methods to assess radiation doses for individuals in the RMI from internally deposited fallout radionuclides (see Hamilton et al., 2006a-c; Bell et al., 2002). Through 2005, the USDOE has established three permanent whole-body counting facilities in the Marshall Islands: the Enewetak Radiological Laboratory on Enewetak Atoll, the Utrok Whole-Body Counting Facility on Majuro Atoll, and the Rongelap Whole-Body Counting Facility on Rongelap Atoll. These whole-body counting facilities are operated and maintained by trained Marshallese technicians. Scientists from LLNL provide the technical support and training necessary for maintaining quality assurance for data acquisition and dose reporting. This technical basis document summarizes the methodologies used to calculate the annual total effective dose equivalent (TEDE; or dose for the calendar year of measurement) based on whole-body counting of internally deposited {sup 137}Cs and the measurement of {sup 239+240}Pu excreted in urine. Whole-body counting provides a direct measure of the total amount (or burden) of {sup 137}Cs present in the human body at the time of measurement. The amount of {sup 137}Cs detected is often reported in activity units of kilo-Becquerel (kBq), where 1 kBq equals 1000 Bq and 1 Bq = 1 nuclear transformation per second (t s{sup -1}). [However, in the United States the Curie (Ci) continues to be used as the unit of radioactivity; where 1 Ci = 3.7 x 10{sup 10} Bq.] The detection of {sup 239}Pu and {sup 240}Pu in bioassay (urine) samples indicates the presence of internally deposited (systemic) plutonium in the body. Urine samples that are collected in the Marshall Islands from volunteers participating in the RSMP are transported to LLNL, where measurements for {sup 239+240}Pu are performed using a state-of-the-art technology based on Accelerator Mass Spectrometry (AMS) (Hamilton et al., 2004, 2007; Brown et al., 2004). The urinary excretion of plutonium by RSMP volunteers is usually described in activity units, expressed as micro-Becquerel ({micro}Bq) of {sup 239+240}Pu (i.e., representing the sum of the {sup 239}Pu and {sup 240}Pu activity) excreted (lost) per day (d{sup -1}), where 1 {micro}Bq d{sup -1} = 10{sup -6} Bq d{sup -1} and 1 Bq = 1 t s{sup -1}. The systemic burden of plutonium is then estimated from biokinetic relationships as described by the International Commission on Radiological Protection (e.g., see ICRP, 1990). In general, nuclear transformations are accompanied by the emission of energy and/or particles in the form of gamma rays ({gamma}), beta particles ({beta}), and/or alpha particles ({alpha}). Tissues in the human body may adsorb these emissions, where there is a potential for any deposited energy to cause biological damage. The general term used to quantify the extent of any radiation exposure is referred to as the dose. The equivalent dose is defined by the average absorbed dose in an organ or tissue weighted by the average quality factor for the type and energy of the emission causing the dose. The effective dose equivalent (EDE; as applied to the whole body), is the sum of the average dose equivalent for each tissue weighted by each applicable tissue-specific weighing factor

Daniels, J; Hickman, D; Kehl, S; Hamilton, T

2007-06-11T23:59:59.000Z

212

Statistical Evaluation of Travel Time Estimation Based on Data from Freeze-Branded Chinook Salmon on the Snake River, 1982-1990.  

DOE Green Energy (OSTI)

The purpose of this investigation is to assess the strengths and limitations of existing freeze brand recapture data in describing the migratory dynamics of juvenile salmonids in the mainstream, impounded sections of the Snake and Columbia Rivers. With the increased concern over the threatened status of spring and summer chinook salmon in the Snake River drainage, we used representative stocks for these races as our study populations. However, statistical considerations resultant from these analyses apply to other species and drainages as well. This report describes analyses we conducted using information derived from freeze-branded groups. We examined both index production groups released from hatcheries upstream from Lower Granite Dam (1982--1990) and freeze-branded groups used as controls in smolt transportation evaluations conducted by the National Marine Fisheries Service (1986, 1989). The scope of our analysis was limited to describing travel time estimates and derived relationships, as well as reach survival estimates through the mainstem Snake River from Lower Granite to McNary Dam.

Smith, Steven G.; Skalski, J.R.; Giorgi, Albert E.

1993-10-01T23:59:59.000Z

213

Development of a Time Series–Based Methodology for Estimation of Large-Area Soil Wetness over India Using IRS-P4 Microwave Radiometer Data  

Science Conference Proceedings (OSTI)

Soil moisture is a very important boundary parameter in numerical weather prediction at different spatial and temporal scales. Satellite-based microwave radiometric observations are considered to be the best because of their high sensitivity to ...

P. K. Thapliyal; P. K. Pal; M. S. Narayanan; J. Srinivasan

2005-01-01T23:59:59.000Z

214

One-Lag Estimators for Cross-Polarization Measurements  

Science Conference Proceedings (OSTI)

Estimators of the linear depolarization ratio (LDR) and cross-polarization correlation coefficients (?xh) free from noise biases are devised. The estimators are based on the 1-lag correlation functions. The 1-lag estimators can be implemented ...

Valery M. Melnikov

2006-07-01T23:59:59.000Z

215

Use of experience curves to estimate the future cost of power plants with CO2 capture  

E-Print Network (OSTI)

2007 Keywords: CO 2 capture Cost estimates Experience curveshand, reliance on cost estimates for current technology hassummarizes the nominal cost estimates for each system based

Rubin, Edward S.; Yeh, Sonia; Antes, Matt; Berkenpas, Michael; Davison, John

2007-01-01T23:59:59.000Z

216

Energy savings estimates and cost benefit calculations for high performance relocatable classrooms  

E-Print Network (OSTI)

hybrid incremental cost estimates were developed based onsizing . Final incremental cost estimates ranged from $1,786Energy Savings Estimates and Cost Benefit Calculations for

Rainer, Leo I.; Hoeschele, Marc A.; Apte, Michael G.; Shendell, Derek G.; Fisk, William J.

2003-01-01T23:59:59.000Z

217

Estimated Global Hydrographic Variability  

Science Conference Proceedings (OSTI)

An estimate is made of the three-dimensional global oceanic temperature and salinity variability, omitting the seasonal cycle, both as a major descriptive element of the ocean circulation and for use in the error estimates of state estimation. ...

Gaël Forget; Carl Wunsch

2007-08-01T23:59:59.000Z

218

Internal Dose Estimates from  

E-Print Network (OSTI)

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population...........................................................................................40 Comparison to dose estimates from global fallout

219

Radiation dose estimates for radiopharmaceuticals  

SciTech Connect

Tables of radiation dose estimates based on the Cristy-Eckerman adult male phantom are provided for a number of radiopharmaceuticals commonly used in nuclear medicine. Radiation dose estimates are listed for all major source organs, and several other organs of interest. The dose estimates were calculated using the MIRD Technique as implemented in the MIRDOSE3 computer code, developed by the Oak Ridge Institute for Science and Education, Radiation Internal Dose Information Center. In this code, residence times for source organs are used with decay data from the MIRD Radionuclide Data and Decay Schemes to produce estimates of radiation dose to organs of standardized phantoms representing individuals of different ages. The adult male phantom of the Cristy-Eckerman phantom series is different from the MIRD 5, or Reference Man phantom in several aspects, the most important of which is the difference in the masses and absorbed fractions for the active (red) marrow. The absorbed fractions for flow energy photons striking the marrow are also different. Other minor differences exist, but are not likely to significantly affect dose estimates calculated with the two phantoms. Assumptions which support each of the dose estimates appears at the bottom of the table of estimates for a given radiopharmaceutical. In most cases, the model kinetics or organ residence times are explicitly given. The results presented here can easily be extended to include other radiopharmaceuticals or phantoms.

Stabin, M.G.; Stubbs, J.B.; Toohey, R.E. [Oak Ridge Inst. of Science and Education, TN (United States). Radiation Internal Dose Information Center

1996-04-01T23:59:59.000Z

220

Estimation of the development possibility of the ABC/ATW fuel cycle based on LiF-BeF{sub 2} fuel salt. Part 2  

SciTech Connect

The aim of the first chapter was generalization of data on solubility and equilibrium states of fission product and actinide fluorides in fluoride salt melts-solvents and fuel composition melts based on LiF-BeF{sub 2} mixture which was proposed as fuel basis for ABC/ATW facility. The second chapter is devoted to description of processes proposed for the chemical-technological complex of the ABC/ATW facility and their physico-chemical peculiarities. The complex is responsible for the removal of fission products and actinides from irradiated fuel salt.

Bychkov, A.V.; Naumov, V.S. [State Scientific Center of Russian Federation, Dimitrovgrad (Russian Federation). Research Inst. of Atomic Reactors

1994-12-31T23:59:59.000Z

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

Software Cost Estimation  

E-Print Network (OSTI)

Software cost estimation is the process of predicting the effort required to develop a software system. Many estimation models have been proposed over the last 30 years. This paper provides a general overview of software cost estimation methods including the recent advances in the field. As a number of these models rely on a software size estimate as input, we first provide an overview of common size metrics. We then highlight the cost estimation models that have been proposed and used successfully. Models may be classified into 2 major categories: algorithmic and non-algorithmic. Each has its own strengths and weaknesses. A key factor in selecting a cost estimation model is the accuracy of its estimates. Unfortunately, despite the large body of experience with estimation models, the accuracy of these models is not satisfactory. The paper includes comment on the performance of the estimation models and description of several newer approaches to cost estimation.

Hareton Leung Zhang; Zhang Fan

2002-01-01T23:59:59.000Z

222

Bandlet Image Estimation with Model Selection  

E-Print Network (OSTI)

A new estimator is introduced to reduce white noise added to images having a geometrical regularity. This estimator projects the observations on orthogonal bandlet vectors selected in a dictionary of orthonormal bases. It is proved that the resulting risk is quasi asymptotically minimax for geometrically regular images. This paper is also a tutorial on estimation with general dictionary of orthogonal bases, through model selection. It explains how to build a thresholding estimator in a adaptively chosen ``best'' basis and gives a simple proof of its performance with the model selection approach of Barron, Birge and Massart

Dossal, Charles; Mallat, Stéphane

2008-01-01T23:59:59.000Z

223

Cost Estimation Recommendations  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

224

HSRL mass estimate based on CALIPSO  

NLE Websites -- All DOE Office Websites (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....

225

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network (OSTI)

) & assume steam generation efficiency Subtract estimated electricity use for printing (when no pulp & paper energy use data available) Calculate the ratio of estimated energy use & BAT-based best case 256 #12 distortions, regulation and plant systems optimisation Future technologies focus on black liquor gasification

226

Process-Based Cost Modeling to Support Target Value Design  

E-Print Network (OSTI)

Maintaining Activity-based Cost Estimates with Feature-Based2004). “Effective Cost Estimate and Construction Processesof new designs. These cost estimates are inflated by the

Nguyen, Hung Viet

2010-01-01T23:59:59.000Z

227

Real time estimation of Bayesian networks  

Science Conference Proceedings (OSTI)

For real time evaluation of a Bayesian network when there is not sufficient time to obtain an exact solution, a guaranteed response time, approximate solution is required. It is shown that non traditional methods utilizing estimators based on an archive ...

Robert L. Welch

1996-08-01T23:59:59.000Z

228

Data Assimilation via Error Subspace Statistical Estimation.  

Science Conference Proceedings (OSTI)

Identical twin experiments are utilized to assess and exemplify the capabilities of error subspace statistical estimation (ESSE). The experiments consists of nonlinear, primitive equation–based, idealized Middle Atlantic Bight shelfbreak front ...

P. F. J. Lermusiaux

1999-07-01T23:59:59.000Z

229

Optimization of Multiparameter Radar Estimates of Rainfall  

Science Conference Proceedings (OSTI)

The estimates of rainfall rate derived from a multiparameter radar based on reflectivity factor (RZH), differential reflectivity (RDR), and specific differential propagation phase (RDP) have widely varying accuracies over the dynamic range of the ...

V. Chandrasekar; Eugenio Gorgucci; Gianfranco Scarchilli

1993-07-01T23:59:59.000Z

230

Estimating Corn Grain Yields  

E-Print Network (OSTI)

This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure.

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

231

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1988-1998 Total Energy *** Electricity ***...

232

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity ***...

233

How EIA Estimates Natural Gas Production  

Reports and Publications (EIA)

The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing States and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The States and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

Information Center

2004-02-01T23:59:59.000Z

234

Microsoft Word - CNMS UEC Meeting 09-26-08 minutes.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

Tonya Klein, Scott Retterer, Mike Kilbey (ex-officio), Brian Holloway (by phone), Sandy Lowe, Tony Haynes and Linda Horton (on behalf of CNMS), and Tof Carim (from DOE)....

235

Globally Optimal Estimation of Nonrigid Image Distortion  

Science Conference Proceedings (OSTI)

Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps a distorted image back to its undistorted template. Generative approaches based ... Keywords: Combine generative and discriminative approaches, Computer vision, Distortion estimation, Feature correspondence, Global optimum, Image alignment, Image registration, Iterative approach, Motion and tracking, Nonrigid deformation, Physics-based vision, Water distortion

Yuandong Tian; Srinivasa G. Narasimhan

2012-07-01T23:59:59.000Z

236

Cooling load estimation methods  

DOE Green Energy (OSTI)

Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

McFarland, R.D.

1984-01-01T23:59:59.000Z

237

Estimating frequency of change  

Science Conference Proceedings (OSTI)

Many online data sources are updated autonomously and independently. In this article, we make the case for estimating the change frequency of data to improve Web crawlers, Web caches and to help data mining. We first identify various scenarios, where ... Keywords: Change frequency estimation, Poisson process

Junghoo Cho; Hector Garcia-Molina

2003-08-01T23:59:59.000Z

238

Estimating Suppression of Eddy Mixing by Mean Flows  

Science Conference Proceedings (OSTI)

Particle- and tracer-based estimates of lateral diffusivities are used to estimate the suppression of eddy mixing across strong currents. Particles and tracers are advected using a velocity field derived from sea surface height measurements from ...

Andreas Klocker; Raffaele Ferrari; Joseph H. LaCasce

2012-09-01T23:59:59.000Z

239

A simple estimator for the distribution of random coefficients  

E-Print Network (OSTI)

We propose a simple mixtures estimator for recovering the joint distribution of parameter heterogeneity in economic models, such as the random coefficients logit. The estimator is based on linear regression subject to ...

Ryan, Stephen

240

Estimates of Freshwater Discharge from Continents: Latitudinal and Seasonal Variations  

Science Conference Proceedings (OSTI)

Annual and monthly mean values of continental freshwater discharge into the oceans are estimated at 1° resolution using several methods. The most accurate estimate is based on streamflow data from the world's largest 921 rivers, supplemented with ...

Aiguo Dai; Kevin E. Trenberth

2002-12-01T23:59:59.000Z

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.


241

Normalized Maximum-Likelihood Estimators of the Directional Wave Spectrum  

Science Conference Proceedings (OSTI)

A new family of data-adaptative directional wave spectrum estimators is proposed. These estimators may be considered as an improvement over the well-known extended maximum-likelihood method (EMLM). The normalization is based on the idea of ...

M. A. Arribas; J. J. Egozcue

1995-06-01T23:59:59.000Z

242

Diversity with practical channel estimation in arbitrary fading environments  

E-Print Network (OSTI)

This thesis presents a framework for evaluating the bit error probability of Nd-branch diversity combining in the presence of non-ideal channel estimates. The estimator structure is based on the maximum likelihood (ML) ...

Gifford, Wesley M. (Wesley Michael), 1979-

2004-01-01T23:59:59.000Z

243

A Quantitative Assessment of the NESDIS Auto-Estimator  

Science Conference Proceedings (OSTI)

A systematic evaluation of the National Environmental Satellite, Data and Information Service Auto-Estimator (A-E), a satellite-based algorithm for the estimation of rainfall, was performed for a 13-month period ending December 1998. This effort ...

Robert A. Rozumalski

2000-08-01T23:59:59.000Z

244

Radiation Stress Estimators  

Science Conference Proceedings (OSTI)

The radiation stresses Sij associated with the propagation of wind-generated waves are principal driving forces for several important surf-zone processes. The accurate estimation of the onshore flux of longshore-directed mean momentum Syx, using ...

S. S. Pawka; D. L. Inman; R. T. Guza

1983-09-01T23:59:59.000Z

245

Building Energy Software Tools Directory: Energy Estimation Software with  

NLE Websites -- All DOE Office Websites (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

246

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

247

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

248

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 separately. In the second stage, the joint density of estimated marginal cumulative distribution functions (CDF) are approximated by the exponential series estimator. The final estimate is then obtained as the product of the marginal densities and the joint density estimated in the second stage. Extensive Monte Carlo studies show the proposed estimator outperforms kernel estimators in joint density and tail distribution estimation. An illustrative example on estimating the conditional copula density between S & P 500 and FTSE 100 given Hangseng and Nikkei 225 is also discussed. In the second essay, I extended the semiparametric model by Chen and Fan [X. Chen, Y. Fan, Estimation of copula-based semiparametric time series models, Journal of Econometrics 130 (2006) 307-335], and studied a class of univariate copula-based nonparametric stationary Markov models in which the copulas and the marginal distributions are estimated nonparametrically. In particular, I focused on the stationary Markov process of order 1 with continuous state space because it has the beta-mixing property for the analysis of weakly dependent processes. The copula density functions for time series models are approximated by the series estimate on sieve spaces. In this study, a finite dimensional linear space spanned by a sequence of power functions is treated as the sieve space where the estimation space of the copula density function is based. This sieve series estimator can be characterized as the exponential series estimator under mild smoothness conditions. By using the beta-mixing properties, I showed that the copula density function approximated by the exponential series estimator for stationary first-order Markov processes has the same convergence rate as the i.i.d. data. The Monte Carlo simulations show that the proposed estimator outperforms the kernel estimator in the conditional density estimation, except for the Frank copula-based Markov model. In addition, the proposed estimator considerably dominates the the kernel estimator when used in the one-step-ahead forecast.

Chang, Meng-Shiuh

2011-08-01T23:59:59.000Z

249

HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates  

E-Print Network (OSTI)

. Then the selectivity sU of PU can be estimated based on the synopsis on U. We augment the auxiliary vector xjHASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates Xiaohui Yu1 , Nick, Canada calisto@ca.ibm.com Abstract. Current methods for selectivity estimation fall into two broad

Yu, Xiaohui

250

Swarm intelligence approaches to estimate electricity energy demand in Turkey  

Science Conference Proceedings (OSTI)

This paper proposes two new models based on artificial bee colony (ABC) and particle swarm optimization (PSO) techniques to estimate electricity energy demand in Turkey. ABC and PSO electricity energy estimation models (ABCEE and PSOEE) are developed ... Keywords: Ant colony optimization, Artificial bee colony, Electricity energy estimation, Particle swarm optimization, Swarm intelligence

Mustafa Servet K?Ran; Eren ÖZceylan; Mesut GüNdüZ; Turan Paksoy

2012-12-01T23:59:59.000Z

251

REQUESTS FOR RETIREMENT ESTIMATE  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

252

Iterative phase estimation  

E-Print Network (OSTI)

We give an iterative algorithm for phase estimation of a parameter theta, which is within a logarithmic factor of the Heisenberg limit. Unlike other methods, we do not need any entanglement or an extra rotation gate which can perform arbitrary rotations with almost perfect accuracy: only a single copy of the unitary channel and basic measurements are needed. Simulations show that the algorithm is successful. We also look at iterative phase estimation when depolarizing noise is present. It is seen that the algorithm is still successful provided the number of iterative stages is below a certain threshold.

Caleb J O'Loan

2009-04-22T23:59:59.000Z

253

Optimal Estimation of Spherical Harmonic Components from a Sample with Spatially Nonuniform Covariance Statistics  

Science Conference Proceedings (OSTI)

An optimal estimation technique is presented to estimate spherical harmonic coefficients. This technique is based on the minimization of the mean square error. This optimal estimation technique consists of computing optimal weights for a given ...

Kwang-Y. Kim; Gerald R. North; Samuel S. Shen

1996-03-01T23:59:59.000Z

254

External Dose Estimates from  

E-Print Network (OSTI)

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure as the dependence on fallout time of arrival. The most exposed individuals were outdoor workers; the least exposed was about a factor of 20 less than that from "global fallout" from high- yield weapons tests carried out

255

External Dose Estimates from  

E-Print Network (OSTI)

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure from the fallout from all of these tests was about 0.7 mSv, about equivalent to 2-3 years of external radiation exposure from natural background. In contrast to the fallout from tests at the Nevada Test site

256

EPA Revises Emissions Estimation Methodology  

U.S. Energy Information Administration (EIA)

The changes to the historical emission estimates are the result of revisions to the data and estimation ... b K.D . Smythe, RAND ... RAND Environmental Science and ...

257

Multiple fundamental frequency estimation and polyphony inference of polyphonic music signals  

Science Conference Proceedings (OSTI)

This paper presents a frame-based system for estimating multiple fundamental frequencies (F0s) of polyphonic music signals based on the short-time Fourier transform (STFT) representation. To estimate the number of sources along with their F0s, it is ... Keywords: automatic music transcription, frequency estimation, music information retrieval, noise estimation, signal analysis, source separation

Chunghsin Yeh; Axel Roebel; Xavier Rodet

2010-08-01T23:59:59.000Z

258

NPP Estimation for Grasslands  

NLE Websites -- All DOE Office Websites (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?"

259

Operated device estimation framework  

E-Print Network (OSTI)

Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution systems. Operation of a protective device in response to a particular fault condition depends upon the protective device’s operating behavior and coordination of various such protective devices. This thesis presents the design and implementation of a protective device estimation algorithm which helps in identifying which protective devices have operated to clear a short circuit condition. The algorithm uses manufacturer’s device details, power quality data measured from substation monitoring devices and power system event features estimated using existing DFA algorithms. The proposed technique can be used to evaluate coordination of these protective devices and helps in locating a fault in a distribution system feeder. This approach is independent of feeder topology and could be readily used for any distribution system. The effectiveness of this algorithm is verified by simulated and actual test data. Suggestions are included for future research and application by electric utilities.

Rengarajan, Janarthanan

2008-12-01T23:59:59.000Z

260

GAO Cost Estimating and Assessment Guide  

E-Print Network (OSTI)

The U.S. Government Accountability Office is responsible for, among other things, assisting the Congress in its oversight of the federal government, including agencies ’ stewardship of public funds. To use public funds effectively, the government must meet the demands of today’s changing world by employing effective management practices and processes, including the measurement of government program performance. In addition, legislators, government officials, and the public want to know whether government programs are achieving their goals and what their costs are. To make those evaluations, reliable cost information is required and federal standards have been issued for the cost accounting that is needed to prepare that information. 1 We developed the Cost Guide in order to establish a consistent methodology that is based on best practices and that can be used across the federal government for developing, managing, and evaluating capital program cost estimates. For the purposes of this guide, a cost estimate is the summation of individual cost elements, using established methods and valid data, to estimate the future costs of a program, based on what is known today. 2 The management of a cost estimate involves continually updating the estimate with actual data as they become available, revising the estimate to reflect changes, and analyzing differences between estimated and actual costs—for example, using data from a reliable earned value management (EVM) system. 3 The ability to generate reliable cost estimates is a critical function, necessary to support the Office of Management and Budget’s (OMB) capital programming process. 4 Without this ability, agencies are at risk of experiencing cost overruns, missed deadlines, and performance shortfalls—all recurring problems that our program assessments too often reveal. Furthermore, cost increases often mean that the government

Best Practices For Developing

2009-01-01T23:59:59.000Z

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.


261

Evaluation of Uncertainties in Cost Estimations  

E-Print Network (OSTI)

This paper examines uncertainty in several cost estimation methods for large infrastructure projects. In particular the impact and consequences of different unexpected events that have occurred during the construction of various tunnels and aqueducts will be treated. Combined with the cost estimation development, several hypotheses concerning uncertainty prediction and correlation will be verified. First, the basis for researching this topic is described and the methods of estimation and uncertainty prediction are presented. Based upon the results of an extensive investigation into the occurrence of unexpected events, several hypotheses concerning unexpected events and correlations are verified. Other related topics that have been researched are also briefly mentioned. Finally the findings are contemplated in a larger context based upon which the conclusions are presented

Meint Boschloo; Meint Boschloo; Pieter Van Gelder; Han Vrijling; Han Vrijling

2001-01-01T23:59:59.000Z

262

Estimation of Global Ground Heat Flux  

Science Conference Proceedings (OSTI)

This study investigates the use of a previously published algorithm for estimating ground heat flux (GHF) at the global scale. The method is based on an analytical solution of the diffusion equation for heat transfer in a soil layer and has been ...

William B. Bennett; Jingfeng Wang; Rafael L. Bras

2008-08-01T23:59:59.000Z

263

Estimating the Soil Surface Specific Humidity  

Science Conference Proceedings (OSTI)

Based on the recent experiment results, a formula is proposed to be used in numerical weather-climate models to estimate the soil surface humidity. The formula has a very simple form and shows a smooth transition in the soil surface specific ...

Tsengdar J. Lee; Roger A. Pielke

1992-05-01T23:59:59.000Z

264

An Estimate of Global Absolute Dynamic Topography  

Science Conference Proceedings (OSTI)

We estimate the absolute dynamic topography of the world ocean from the largest scales to a short-wavelength cutoff of about 6700 km for the period July through September 1978. The data base consisted of the time-averaged sea-surface topography ...

Chang-Kou Tai; Carl Wunsch

1984-02-01T23:59:59.000Z

265

Utility Savings Estimators | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

the Utility Savings Estimators: Commercial Estimator | Residential Estimator (These *.zip files contain the Microsoft Excel macro-enabled (*.xlsm) estimator files. You will...

266

Analysis of the tradeoff between irrigated agriculure and hydroelectric power in the Pacific Northwest. [Base-line estimate of the effects of agricultural irrigation on the hydroelectric power generating potential projected for the year 2020  

DOE Green Energy (OSTI)

Hydrogeneration and irrigated agriculture are major competing users of the waters of the Columbia River and its tributaries. Irrigated agriculture requires the diversion of large amounts of water from the rivers, only part of which returns. As a result, streamflow is reduced and the generation potential of dams located downstream from points of irrigation diversion is reduced. In addition, irrigated agriculture involves the direct consumption of electricity to pump irrigation water and to apply it to crops in the field. The purpose of this report is to make a baseline estimate of the impact on the electrical generation system in the region of the level of irrigation development projected for year 2020 by the states of Oregon, Washington, and Idaho. This baseline estimate reflects the assumption that current conditions will prevail in the future. The results, therefore, provide a standard against which the impacts of changes in current conditions can be measured. It is estimated that the projected development level of 11.4 million acres of irrigated agriculture in Oregon, Washington, and Idaho by year 2020 would result in foregone hydroelectric generation potential of approximately 17.8 million megawatt-hours (MWh) annually and direct consumption of electric power for pumping and application of approximately 10.3 million MWh's annually. Thus, a total of 28.1 million MWh's of electric power generation will have to be traded off each year if irrigated agriculture is to be conducted on the projected scale. (ERB)

Davis, A. E.

1979-01-01T23:59:59.000Z

267

Estimation of the Mean Field Bias of Radar Rainfall Estimates  

Science Conference Proceedings (OSTI)

In this paper procedures are developed for estimating the mean field bias of radar rainfall estimates. Mean field bias is modeled as a random process that varies not only from storm to storm but also over the course of a storm. State estimates of ...

James A. Smith; Witold F. Krajewski

1991-04-01T23:59:59.000Z

268

Estimating Civilian Owned Firearms  

E-Print Network (OSTI)

Most of the world’s firearms are privately owned. 1 They include improvised craft guns as well as handguns, rifles, shotguns, and machine guns. The legal definition of a civilian firearm varies; some states allow civilian ownership of certain firearms that are restricted to military use in other states. The word civilian is used here to refer to actual possession, not legality. In 2007, the Small Arms Survey estimated the number of civilian firearm ownership worldwide at approximately 650 million weapons out of some 875 then in existence (see Figures 1 and 2). National ownership rates range from a high of 90 firearms per every 100 people in the United States, to one firearm or less for every 100 residents in countries like South Korea and Ghana (see Table 1). With the world’s factories delivering millions of newly manufactured firearms annually, and with far fewer being destroyed, civilian ownership is growing (Small Arms Survey, 2007, p. 39). Poor record-keeping and the near absence of reporting requirements for detailed information complicate assessments of global stockpiles of small arms and light weapons. When it comes to estimating civilian firearm ownership, differences in national gun culture —each country’s unique combination of historic and current sources of supply, laws and attitudes toward firearms ownership—often have distinct effects on the classification, ownership and perception of firearms. In addition, categories of firearm holders may overlap, as some individuals may use their private firearms at work as security guards, in armed groups, or in gangs.

unknown authors

2011-01-01T23:59:59.000Z

269

Empirical Methods of Cost Estimation  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

270

Optimal estimation with limited measurements  

Science Conference Proceedings (OSTI)

This paper introduces a sequential estimation problem with two decision makers, or agents, who work as members of a team. One of the agents sits at an observation post, and makes sequential observations about the state of an underlying stochastic process ... Keywords: WSNs, limited information, networked control systems, optimal estimation, real-time control, real-time monitoring, recursive estimation, sequential estimation, wireless networks, wireless sensor networks

Orhan C. Imer; Tamer Basar

2010-01-01T23:59:59.000Z

271

Computer-intensive rate estimation, diverging statistics and scanning  

E-Print Network (OSTI)

A general rate estimation method is proposed that is based on studying the in-sample evolution of appropriately chosen diverging/converging statistics. The proposed rate estimators are based on simple least squares arguments, and are shown to be accurate in a very general setting without requiring the choice of a tuning parameter. The notion of scanning is introduced with the purpose of extracting useful subsamples of the data series; the proposed rate estimation method is applied to different scans, and the resulting estimators are then combined to improve accuracy. Applications to heavy tail index estimation as well as to the problem of estimating the long memory parameter are discussed; a small simulation study complements our theoretical results.

McElroy, Tucker

2007-01-01T23:59:59.000Z

272

Additional Resources for Estimating Building Energy and Cost Savings to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

273

Range Selectivity Estimation for Continuous Attributes  

E-Print Network (OSTI)

Many commercial database systems maintain histograms to efficiently estimate query selectivities as part of query optimization. Most work on histogram design is implicitly geared towards discrete or categorical attribute value domains. In this paper, we consider approaches that are better suited for the continuous valued attributes commonly found in scientific and statistical databases. We propose two methods based on spline functions for estimating the selectivity of range queries over univariate and multivariate data. These methods are more accurate than histograms. As the results from our experiments on both real and synthetic data sets demonstrate, the proposed methods achieved substantially better (up to 5.5 times) estimation error than the state-of-the-art histograms, at exactly the same storage space and with comparable CPU runtime overhead; moreover, the superiority of the proposed spline methods is amplified when applied to multivariate data. 1 Introduction Selectivity esti...

Flip Korn; Theodore Johnson; H. V. Jagadish

1999-01-01T23:59:59.000Z

274

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

275

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

276

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,

277

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

278

Battery Calendar Life Estimator Manual Modeling and Simulation  

SciTech Connect

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

279

Battery Life Estimator Manual Linear Modeling and Simulation  

DOE Green Energy (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

2009-08-01T23:59:59.000Z

280

Time of arrival and power delay profile estimation for IR-UWB systems  

Science Conference Proceedings (OSTI)

In time of arrival (TOA) estimation of received ultra-wideband (UWB) pulses, traditional maximum likelihood (ML) and generalized likelihood estimators become impractical because they require sampling at the Nyquist rate. Sub-Nyquist ML-based TOA estimation ... Keywords: Average power delay profile (APDP), Radio frequency identification (RFID), Source localization, Time of arrival (TOA) estimation, Ultra-wideband (UWB) pulse signals

Fang Shang; Benoit Champagne; Ioannis Psaromiligkos

2013-05-01T23:59:59.000Z

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

NONPARAMETRIC BAYESIAN ESTIMATION OF PERIODIC LIGHT CURVES  

SciTech Connect

Many astronomical phenomena exhibit patterns that have periodic behavior. An important step when analyzing data from such processes is the problem of identifying the period: estimating the period of a periodic function based on noisy observations made at irregularly spaced time points. This problem is still a difficult challenge despite extensive study in different disciplines. This paper makes several contributions toward solving this problem. First, we present a nonparametric Bayesian model for period finding, based on Gaussian Processes (GPs), that does not make assumptions on the shape of the periodic function. As our experiments demonstrate, the new model leads to significantly better results in period estimation especially when the light curve does not exhibit sinusoidal shape. Second, we develop a new algorithm for parameter optimization for GP which is useful when the likelihood function is very sensitive to the parameters with numerous local minima, as in the case of period estimation. The algorithm combines gradient optimization with grid search and incorporates several mechanisms to overcome the high computational complexity of GP. Third, we develop a novel approach for using domain knowledge, in the form of a probabilistic generative model, and incorporate it into the period estimation algorithm. Experimental results validate our approach showing significant improvement over existing methods.

Wang Yuyang; Khardon, Roni [Department of Computer Science, Tufts University, Medford, MA (United States); Protopapas, Pavlos [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)

2012-09-01T23:59:59.000Z

282

River flow estimation using adaptive neuro fuzzy inference system  

Science Conference Proceedings (OSTI)

Accurate estimation of River flow changes is a quite important problem for a wise and sustainable use. Such a problem is crucial to the works and decisions related to the water resources and management. In this study, an adaptive network-based fuzzy ... Keywords: ANFIS, ANN, Fuzzy logic, Great Menderes River, River flow estimation

Mahmut Firat; Mahmud Güngör

2007-07-01T23:59:59.000Z

283

Estimation of global solar radiation using ANN over Turkey  

Science Conference Proceedings (OSTI)

The main objective of the present study is to develop an artificial neural network (ANN) model based on multi-nonlinear regression (MNLR) method for estimating the monthly mean daily sum global solar radiation at any place of Turkey. For this purpose, ... Keywords: Artificial neural networks, Estimation, Global solar radiation, Stepwise multi-nonlinear regression, Turkey

Muammer Ozgoren; Mehmet Bilgili; Besir Sahin

2012-04-01T23:59:59.000Z

284

Tangential residual as error estimator in the boundary element method  

Science Conference Proceedings (OSTI)

In this paper a new error estimator based on tangential derivative Boundary Integral Equation residuals for 2D Laplace and Helmholtz equations is shown. The direct problem for general mixed boundary conditions is solved using standard and hypersingular ... Keywords: Adaptivity, Boundary Integral Equation residual, Boundary element method, Error estimation, Mesh adaptation, Mesh refinement, Nodal sensitivity

Alejandro E. Martínez-Castro; Rafael Gallego

2005-04-01T23:59:59.000Z

285

Statistical estimation of multiple faults in aircraft gas turbine engines  

E-Print Network (OSTI)

415 Statistical estimation of multiple faults in aircraft gas turbine engines S Sarkar, C Rao of multiple faults in aircraft gas-turbine engines, based on a statistical pattern recognition tool called commercial aircraft engine. Keywords: aircraft propulsion, gas turbine engines, multiple fault estimation

Ray, Asok

286

An adaptive location estimator using tracking algorithms for indoor WLANs  

Science Conference Proceedings (OSTI)

This paper presents adaptive algorithms for estimating the location of a mobile terminal (MT) based on radio propagation modeling (RPM), Kalman filtering (KF), and radio-frequency identification (RFID) assisting for indoor wireless local area networks ... Keywords: Calibration, Kalman filtering, Location estimation, Neural network, Radio-frequency identification, Tracking, Wireless local area network

Yih-Shyh Chiou; Chin-Liang Wang; Sheng-Cheng Yeh

2010-10-01T23:59:59.000Z

287

A fixed complexity velocity estimation method for mobile MIMO users  

Science Conference Proceedings (OSTI)

To estimate speed of a moving user transmitting data over a Single Input Single Output (SISO) Rayleigh fading channels, many Autocorrelation function (ACF) based schemes have been presented in literature [2-7]. Recently, it was shown that in a Multiple ... Keywords: autocorrelation function, complexity reduction, correlated MIMO channels, velocity estimation

Salman A. Khan

2010-01-01T23:59:59.000Z

288

Cost estimation and analysis for government contract pricing in china  

Science Conference Proceedings (OSTI)

Software cost estimation methods and their applications in government contract pricing have been developed and practiced for years. However, in China, the government contract process has been questioned in some aspects. It is largely based on analogy ... Keywords: cost analysis., cost estimation, government contract pricing

Mei He; Ye Yang; Qing Wang; Mingshu Li

2007-05-01T23:59:59.000Z

289

Cost estimating projects for large cutter and hopper dredges  

E-Print Network (OSTI)

Estimating the cost of a dredging project is the most important part of a project's life cycle. A precise account of the costs associated with performing dredging work begins with the production estimate and ends with the cost estimate. The production estimate is based on a clear understanding of some fundamental laws governing hydraulic transport including variations of the Bernoulli Equation. Newer theories concerning friction loss in a pipeline aid in the development of the production estimate phase of the program. Practical experience aids in the transition from production estimate to cost estimate. This thesis reviews the process of creating a program that for the first time provides users not associated with the government or dredging companies a method to determine the cost of a dredging project employing a hopper dredge. The program consists of two Microsoft Excel spreadsheets and provides a means to estimate either large cutter (27" and larger) or hopper dredge projects. The program allows for a high degree of customization to account for either a particular dredge or project. In a series of comparisons, the program output had an average difference of 17.3% between the estimated price and the price awarded to the winning bidder. For the same projects the government estimate varied an average of 16.2%. Using the accuracy of the government estimate as a measure of accomplishment, the program can be considered a success.

Belesimo, Francesco John

2000-01-01T23:59:59.000Z

290

State estimation on correlated copies  

E-Print Network (OSTI)

State estimation is usually analyzed in the situation when copies are in a product state, either mixed or pure. We investigate here the concept of state estimation on correlated copies. We analyze state estimation on correlated N qubit states, which are permutationally invariant. Using a correlated state we try to estimate as good as possible the direction of the Bloch vector of a single particle reduced density matrix. We derive the optimal fidelity for all permutation invariant states. We find the optimal state, which yields the highest estimation fidelity among the states with the same reduced density matrix. Interestingly this state is not a product state. We also point out that states produced by optimal universal cloning machines are the worst form the point of view of estimating the reduced density matrix.

Rafal Demkowicz-Dobrzanski

2004-12-20T23:59:59.000Z

291

Estimates of Tropical Diabatic Heating Profiles: Commonalities and Uncertainties  

Science Conference Proceedings (OSTI)

This study aims to evaluate the consistency and discrepancies in estimates of diabatic heating profiles associated with precipitation based on satellite observations and microphysics and those derived from the thermodynamics of the large-scale ...

Samson Hagos; Chidong Zhang; Wei-Kuo Tao; Steve Lang; Yukari N. Takayabu; Shoichi Shige; Masaki Katsumata; Bill Olson; Tristan L’Ecuyer

2010-02-01T23:59:59.000Z

292

Estimating the Meridional Energy Transports in the Atmosphere and Ocean  

Science Conference Proceedings (OSTI)

The poleward energy transports in the atmosphere–ocean system are estimated for the annual mean and the four seasons based on satellite measurements of the net radiation balance at the top of the atmosphere, atmospheric transports of energy at ...

B. C. Carissimo; A. H. Oort; T. H. Vonder Haar

1985-01-01T23:59:59.000Z

293

Estimating Open-Ocean Barotropic Tidal Dissipation: The Hawaiian Ridge  

Science Conference Proceedings (OSTI)

The generalized inverse of a regional model is used to estimate barotropic tidal dissipation along the Hawaiian Ridge. The model, based on the linear shallow-water equations, incorporates parameterizations for the dissipation of energy via ...

Edward D. Zaron; Gary D. Egbert

2006-06-01T23:59:59.000Z

294

Estimates of Meridional Atmosphere and Ocean Heat Transports  

Science Conference Proceedings (OSTI)

New estimates of the poleward energy transport based on atmospheric reanalyses from the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) and the European Centre for Medium-Range Weather Forecasts ...

Kevin E. Trenberth; Julie M. Caron

2001-08-01T23:59:59.000Z

295

Overland Precipitation Estimation from TRMM Passive Microwave Observations  

Science Conference Proceedings (OSTI)

Procedures for passive microwave precipitation estimation over land are investigated based on a large database of Tropical Rainfall Measuring Mission (TRMM) observations. The procedures include components for rain area delineation, convective/...

Mircea Grecu; Emmanouil N. Anagnostou

2001-08-01T23:59:59.000Z

296

Bird Migration and Bias of WSR-88D Wind Estimates  

Science Conference Proceedings (OSTI)

Migrating birds can greatly influence base velocity, velocity azimuth display (VAD), and VAD wind profile products of the WSR-88D. This is documented by comparing estimates of wind velocity and direction from these products with corresponding ...

Sidney A. Gauthreaux Jr.; David S. Mizrahi; Carroll G. Belser

1998-06-01T23:59:59.000Z

297

A state estimator including conventional and synchronized phasor measurements  

Science Conference Proceedings (OSTI)

This paper presents an effective weighted least square formulation for the solution of the state estimation problem, considering conventional as well as synchronized phasor measurements. The proposed algorithm is based on a reference-free formulation, ...

George N. Korres; Nikolaos M. Manousakis

2012-03-01T23:59:59.000Z

298

Estimation of Cirrus Optical Thickness from Sun Photometer Measurements  

Science Conference Proceedings (OSTI)

A method is proposed to estimate the optical thickness of cirrus clouds from ground-based sun photometry. Transfer calculations of solar radiation in ice clouds were made by the Monte Carlo method. A scattering phase function presented by Takano ...

Masataka Shiobara; Shoji Asano

1994-06-01T23:59:59.000Z

299

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.

Information Center

2000-08-01T23:59:59.000Z

300

Estimation of Atmospheric Motion Vectors from Kalpana-1 Imagers  

Science Conference Proceedings (OSTI)

The estimation of atmospheric motion vectors from infrared and water vapor channels on the geostationary operational Indian National Satellite System Kalpana-1 has been attempted here. An empirical height assignment technique based on a genetic ...

C. M. Kishtawal; S. K. Deb; P. K. Pal; P. C. Joshi

2009-11-01T23:59:59.000Z

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.


301

Frequency tracking and parameter estimation for robust quantum state estimation  

SciTech Connect

In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.

Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)

2011-11-15T23:59:59.000Z

302

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

303

Application of the evidence procedure to the estimation of wireless channels  

Science Conference Proceedings (OSTI)

We address the application of the Bayesian evidence procedure to the estimation of wireless channels. The proposed scheme is based on relevance vector machines (RVM) originally proposed by M. Tipping. RVMs allow to estimate channel parameters as well ...

Dmitriy Shutin; Gernot Kubin; Bernard H. Fleury

2007-01-01T23:59:59.000Z

304

Center of Mass Estimation in Closed Vortices: A Verification in Principle and Practice  

Science Conference Proceedings (OSTI)

The problem of tracking closed mesoscale vortices using center of mass estimation techniques is studied. Three estimators are evaluated using data from a warm core Gulf Stream ring. The comparisons show that a method based on the intersection of ...

Stanford B. Hooker; Donald B. Olson

1984-09-01T23:59:59.000Z

305

A Comparison of Radar Reflectivity Estimates of Rainfall from Collocated Radars  

Science Conference Proceedings (OSTI)

Radar reflectivity–based rainfall estimates from collocated radars are examined. The usual large storm-to-storm variations in radar bias and high correlation between radar estimates and rain gauge observations are found. For three storms in ...

Edward A. Brandes; J. Vivekanandan; James W. Wilson

1999-09-01T23:59:59.000Z

306

A Method to Estimate Missing Daily Maximum and Minimum Temperature Observations  

Science Conference Proceedings (OSTI)

A method to estimate missing daily maximum and minimum temperatures is presented. Temperature estimates are based on departures from daily temperature normals at the three closest stations with similar observation times. Although applied to ...

Arthur T. DeGaetano; Keith L. Eggleston; Warren W. Knapp

1995-02-01T23:59:59.000Z

307

Evaluation of Methods to Estimate the Surface Downwelling Longwave Flux during Arctic Winter  

Science Conference Proceedings (OSTI)

Surface longwave radiation fluxes dominate the energy budget of nighttime polar regions, yet little is known about the relative accuracy of existing satellite-based techniques to estimate this parameter. We compare eight methods to estimate the ...

Marc Chiacchio; Jennifer Francis; Paul Stackhouse Jr.

2002-03-01T23:59:59.000Z

308

Principal Components Instrumental Variable Estimation  

E-Print Network (OSTI)

. The reason for the inconsistency is that the least squares estimation used for the projection of the first stage tends to fit too well, rendering an overfitted PKX which is still correlated with u if the number of instruments is large. The estimating... -dimensional IVE is just an IVE and as such possesses up to rn?G?2 moments, and thus it may achieve the performance in terms of bias of the ‘no moments’ estimators without displaying their unduly volatility due to fat tails. The fulfilment of condition (A) is key...

Winkelried, Diego; Smith, Richard J.

2011-01-31T23:59:59.000Z

309

Estimation of 1945 to 1957 food consumption  

Science Conference Proceedings (OSTI)

This report details the methods used and the results of the study on the estimated historic levels of food consumption by individuals in the Hanford Environmental Dose Reconstruction (HEDR) study area from 1945--1957. This period includes the time of highest releases from Hanford and is the period for which data are being collected in the Hanford Thyroid Disease Study. These estimates provide the food-consumption inputs for the HEDR database of individual diets. This database will be an input file in the Hanford Environmental Dose Reconstruction Integrated Code (HEDRIC) computer model that will be used to calculate the radiation dose. The report focuses on fresh milk, eggs, lettuce, and spinach. These foods were chosen because they have been found to be significant contributors to radiation dose based on the Technical Steering Panel dose decision level.

Anderson, D.M.; Bates, D.J.; Marsh, T.L.

1993-03-01T23:59:59.000Z

310

Estimation of Surface Heat Flux  

Science Conference Proceedings (OSTI)

The authors reconsider the problem of estimating the sensible heat transfer at the earth's surface from direct measurements of turbulent fluxes in the atmospheric boundary layer. For simplicity, only horizontally homogeneous conditions are ...

Jielun Sun; Steven K. Esbensen; L. Mahrt

1995-09-01T23:59:59.000Z

311

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

312

Quantum estimation of relative information  

E-Print Network (OSTI)

We derive optimal schemes for preparation and estimation of relational degrees of freedom between two quantum systems. We specifically analyze the case of rotation parameters representing relative angles between elements of the SU(2) symmetry group. Our estimation procedure does not assume prior knowledge of the absolute spatial orientation of the systems and as such does not require information on the underlying classical reference frame in which the states are prepared.

Netanel H. Lindner; Petra F. Scudo; Dagmar Bruss

2005-06-27T23:59:59.000Z

313

PDV Uncertainty Estimation & Methods Comparison  

Science Conference Proceedings (OSTI)

Several methods are presented for estimating the rapidly changing instantaneous frequency of a time varying signal that is contaminated by measurement noise. Useful a posteriori error estimates for several methods are verified numerically through Monte Carlo simulation. However, given the sampling rates of modern digitizers, sub-nanosecond variations in velocity are shown to be reliably measurable in most (but not all) cases. Results support the hypothesis that in many PDV regimes of interest, sub-nanosecond resolution can be achieved.

Machorro, E.

2011-11-01T23:59:59.000Z

314

Estimate product quality with ANNs  

Science Conference Proceedings (OSTI)

Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.

Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)

1996-09-01T23:59:59.000Z

315

SEARCH PATTERNS SWITCHING FOR MOTION ESTIMATION USING RATE OF ERROR DESCENT  

E-Print Network (OSTI)

SEARCH PATTERNS SWITCHING FOR MOTION ESTIMATION USING RATE OF ERROR DESCENT Ka-Ho Ng, Lai-Man Po estimation algorithms based on search- point pattern are only good at handling videos with small motions, for example, block-based gradient descent search, diamond search and hexagonal-based search. An adaptive

Po, Lai-Man

316

DOE G 430.1-1 Chp 15, Estimating Methods  

Directives, Delegations, and Requirements

Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

1997-03-28T23:59:59.000Z

317

Estimated Annual Net Change in Soil Carbon per US County  

NLE Websites -- All DOE Office Websites (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:

318

Development of a right-of-way cost estimation and cost estimate management process framework for highway projects  

E-Print Network (OSTI)

Escalation of right-of-way (ROW) costs have been shown to be a prime contributor to project cost escalation in the highway industry. Two problems contribute to ROW cost escalation: 1) the ROW cost estimation and cost estimate management process generally lacks structure and definition as compared to other areas of cost estimation; and 2) there is a lack of integration and communication between those responsible for ROW cost estimating and those responsible for general project cost estimating. The research for this thesis was preceded by a literature review to establish the basis for the study. Data collection was completed through interviews of seven state highway agencies (SHAs) and two local public agencies (LPAs). The findings of the research are presented in a set of ROW flowcharts which document the steps, inputs, and outputs of the ROW cost estimation and cost estimate management process. Three ROW cost estimates and a cost management process take place throughout project development. An effort was made from the onset of the research to relate the ROW cost estimating and cost estimate management process to the first four project development phases (planning, programming. preliminary design, and final design). There are five flowcharts produced as a result of this research: 1) an agency-level flowchart showing all cost estimates and the interaction of ROW with the project development process; 2) a conceptual ROW cost estimating flowchart which depicts the required steps during planning; 3) a baseline ROW cost estimating flowchart which depicts the required steps during programming; 4) an update ROW cost estimating flowchart which depicts the required steps during preliminary design to include a cost estimate management loop; and 5) a ROW cost management flowchart which depicts the required steps during final design. Although selected SHA contacts provided input following the development of the flowcharts, the flowcharts were only validated to a limited extent due to time and budget constraints. These flowcharts attempt to address the two contributing problems to ROW cost escalation by providing structure to the ROW cost estimation process and by developing the ROW process flowcharts linked to the project development process. Based on the input provided by SHA contacts, the flowcharts appear to have the potential to provide guidance to SHAs in improving the accuracy of ROW cost estimates through addressing these two problems.

Lucas, Matthew Allen

2007-12-01T23:59:59.000Z

319

Geothermal Energy: National Estimate for Direct Use  

SciTech Connect

The purpose of this report is to present the first national estimate of direct geothermal energy use based upon an aggregation of site-specific analyses of all known geothermal resources. The conclusions are: (1) Geothermal energy can make a significant contribution can to the nation's low temperature energy needs and lessen dependence on foreign energy sources. (2) Federal tax incentives and regulatory easement will enhance the development of geothermal energy in the U.S. (3) District heating applications will constitute the major portion of geothermal market penetration. (4) Most development will occur in the western U.S.

1980-12-01T23:59:59.000Z

320

Geothermal Energy: National Estimate for Direct Use  

DOE Green Energy (OSTI)

The purpose of this report is to present the first national estimate of direct geothermal energy use based upon an aggregation of site-specific analyses of all known geothermal resources. The conclusions are: (1) Geothermal energy can make a significant contribution can to the nation's low temperature energy needs and lessen dependence on foreign energy sources. (2) Federal tax incentives and regulatory easement will enhance the development of geothermal energy in the U.S. (3) District heating applications will constitute the major portion of geothermal market penetration. (4) Most development will occur in the western U.S.

None

1980-12-01T23:59:59.000Z

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.


321

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

NLE Websites -- All DOE Office Websites (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...

322

James-Stein type estimators of variances  

Science Conference Proceedings (OSTI)

In this paper we propose James-Stein type estimators for variances raised to a fixed power by shrinking individual variance estimators towards the arithmetic mean. We derive and estimate the optimal choices of shrinkage parameters under both the squared ... Keywords: 62H12, Inadmissibility, Shrinkage estimation, Shrinkage parameter, Squared loss function, Stein loss function, Variance estimation

Tiejun Tong; Homin Jang; Yuedong Wang

2012-05-01T23:59:59.000Z

323

Dynamic State Estimation Utilizing High Performance Computing Methods  

SciTech Connect

The state estimation tools which are currently deployed in power system control rooms are based on a quasi-steady-state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper presents an overview of the Kalman Filtering process and then focuses on the implementation of the predication component on multiple processors.

Schneider, Kevin P.; Huang, Zhenyu; Yang, Bo; Hauer, Matthew L.; Nieplocha, Jaroslaw

2009-03-18T23:59:59.000Z

324

Estimating the Economic 'Trade' Value of Increased Transmission Capability  

Science Conference Proceedings (OSTI)

The authors offer a new method of estimating the potential gains achievable via transmission expansion in moving power from lower-priced to higher-priced regions. Rather than relying on simulation approaches, where electricity is dispatched based on specific assumptions regarding market-bidding behavior, plant generating costs, and plant availability, this technique instead relies on actual market data to estimate this source of economic value. (author)

Kleit, Andrew N.; Reitzes, James D.

2006-03-01T23:59:59.000Z

325

Continuous-Estimator Representation for Monte Carlo Criticality Diagnostics  

Science Conference Proceedings (OSTI)

An alternate means of computing diagnostics for Monte Carlo criticality calculations is proposed. Overlapping spherical regions or estimators are placed covering the fissile material with a minimum center-to-center separation of the 'fission distance', which is defined herein, and a radius that is some multiple thereof. Fission neutron production is recorded based upon a weighted average of proximities to centers for all the spherical estimators. These scores are used to compute the Shannon entropy, and shown to reproduce the value, to within an additive constant, determined from a well-placed mesh by a user. The spherical estimators are also used to assess statistical coverage.

Kiedrowski, Brian C. [Los Alamos National Laboratory; Brown, Forrest B. [Los Alamos National Laboratory

2012-06-18T23:59:59.000Z

326

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

of stocks, UECs, and national energy consumption for theseSanchez 1997). National energy consumption of these end-usesUECs, and National Energy Consumption of Miscellaneous

Wenzel, T.P.

2010-01-01T23:59:59.000Z

327

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

classes of new appliances; and a large database of stockrecords for those appliances in the database. UECs for otheron the UEC database. For new appliances entering the market,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

328

ALSNews Vol. 290  

NLE Websites -- All DOE Office Websites (Extended Search)

Award UEC Corner: 2008 Users' Meeting; the UEC Needs New Members Compass Students Tour the ALS Operations Bulletin Board Top-Off Update New General ALS Requirement:...

329

Estimated Cost Description Determination Date:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

330

Effective-SNR estimation for wireless sensor network using Kalman filter  

Science Conference Proceedings (OSTI)

In many Wireless Sensor Network (WSN) applications, the availability of a simple yet accurate estimation of the RF channel quality is vital. However, due to measurement noise and fading effects, it is usually estimated through probe or learning based ... Keywords: Estimation, Kalman filter, Link quality, SNR, Sensor networks

Fei Qin; Xuewu Dai; John E. Mitchell

2013-05-01T23:59:59.000Z

331

Classification of telemetric signals and their spectral density estimation with the help of wavelets  

Science Conference Proceedings (OSTI)

The present paper is concerned with a new technique intended for the spectral density estimation of telemetric signals with the help of the wavelet transform. We briefly revise basic information on classical spectral estimates based on the calculation ... Keywords: classification, spectral density estimation, telemetric signals, wavelets

V. V. Geppener; D. M. Klionsky; N. I. Oreshko

2012-10-01T23:59:59.000Z

332

Parameter Estimation from an Optimal Projection in a Local Environment  

E-Print Network (OSTI)

The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters. The Local MultiLinear Regression (LMLR) algorithms allow one to fit linearly the data in a local environment. The MATISSE algorithm, developed in the context of the estimation of stellar parameters from the Gaia RVS spectra, is connected to this class of estimators. A two-steps procedure was introduced. A raw parameter estimation is first done in order to localize the parameter environment. The parameters are then estimated by projection on specific vectors computed for an optimal estimation. The MATISSE method is compared to the estimation using the objective analysis. In this framework, the kernel choice plays an important role. The environment needed for the parameter estimation can result from it. The determination of a first parameter set can be also avoided for this analysis. These procedures based on a local projection can be fruitfully applied to non linear parameter estimation if the number of data sets to be fitted is greater than the number of models.

A. Bijaoui; A. Recio-Blanco; P. de Laverny

2008-11-03T23:59:59.000Z

333

Challenges to estimating carbon emissions from tropical deforestation  

E-Print Network (OSTI)

An accurate estimate of carbon fluxes associated with tropical deforestation from the last two decades is needed to balance the global carbon budget. Several studies have already estimated carbon emissions from tropical deforestation, but the estimates vary greatly and are difficult to compare due to differences in data sources, assumptions, and methodologies. In this paper, we review the different estimates and datasets, and the various challenges associated with comparing them and with accurately estimating carbon emissions from deforestation. We performed a simulation study over legal Amazonia to illustrate some of these major issues. Our analysis demonstrates the importance of considering land-cover dynamics following deforestation, including the fluxes from reclearing of secondary vegetation, the decay of product and slash pools, and the fluxes from regrowing forest. It also suggests that accurate carbon-flux estimates will need to consider historical land-cover changes for at least the previous 20 years. However, this result is highly sensitive to estimates of the partitioning of cleared carbon into instantaneous burning vs. long-timescale slash pools. We also show that carbon flux estimates based on ‘committed flux ’ calculations, as used by a few studies, are not comparable with the ‘annual balance ’ calculation method used by other studies.

Holly K. Gibbsw; Frédéric Achardz; Ruth Defries; Jonathan A. Foleyw; R. A. Houghton

2006-01-01T23:59:59.000Z

334

BLE: Battery Life Estimator | Argonne National Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

Life Estimator (BLE) software is a state-of-the-art tool kit for fitting battery aging data and for battery life estimation. It was designed to make life-cycle estimates...

335

Periodicity estimation of Dynamic Textures  

Science Conference Proceedings (OSTI)

Dynamic Textures (DTs) are image sequences of natural events like fire, smoke, water etc., that possesses regular motion patterns. Periodicity is a widely used tool to analyse regular structures of periodic one dimensional signals as well as two dimensional ... Keywords: co-occurrence matrix, dynamic textures, image sequences, image texture analysis, motion patterns, natural events, periodicity estimation, temporal textures

Khalid Zaman Bijon; Ahmed Hasan; Ashfaqur Rahman; Manzur Murshed

2008-03-01T23:59:59.000Z

336

Practical Estimates of Lake Evaporation  

Science Conference Proceedings (OSTI)

Practical estimates of lake evaporation must rely on data that can be observed in the land environment. This requires the ability to take into account the changes in the temperature and humidity that occur when the air passes from the land to the ...

F. I. Morton

1986-03-01T23:59:59.000Z

337

An Improved Cluster Richness Estimator  

Science Conference Proceedings (OSTI)

Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L{sub X}-richness relation, from {sigma}{sub lnL{sub X}}{sup 2} = (0.86 {+-} 0.02){sup 2} to {sigma}{sub lnL{sub X}}{sup 2} = (0.69 {+-} 0.02){sup 2}. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L{sub X}-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.

Rozo, Eduardo; /Ohio State U.; Rykoff, Eli S.; /UC, Santa Barbara; Koester, Benjamin P.; /Chicago U. /KICP, Chicago; McKay, Timothy; /Michigan U.; Hao, Jiangang; /Michigan U.; Evrard, August; /Michigan U.; Wechsler, Risa H.; /SLAC; Hansen, Sarah; /Chicago U. /KICP, Chicago; Sheldon, Erin; /New York U.; Johnston, David; /Houston U.; Becker, Matthew R.; /Chicago U. /KICP, Chicago; Annis, James T.; /Fermilab; Bleem, Lindsey; /Chicago U.; Scranton, Ryan; /Pittsburgh U.

2009-08-03T23:59:59.000Z

338

Unsupervised clustering and centroid estimation using dynamic ...  

Science Conference Proceedings (OSTI)

solving cluster detection and centroid estimation prob- lems. ... density function and these vectors estimate the cen- ..... an algorithm to minimize a cost function.

339

Estimating Waste Inventory and Waste Tank Characterization |...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

340

GIS-Based estimation of wetland conservation potentials in europe  

Science Conference Proceedings (OSTI)

In the EU socio-economic considerations and economic activities play an important part in land use management and conservation planning. However, conservation studies that offer high-accuracy landscape information at the European level are often recommended ... Keywords: land use planning, restoration ecology, spatial analysis

Christine Schleupner

2010-03-01T23:59:59.000Z

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.


341

Confidence bounds for sampling-based group by estimates  

Science Conference Proceedings (OSTI)

Sampling is now a very important data management tool, to such an extent that an interface for database sampling is included in the latest SQL standard. In this article we reconsider in depth what at first may seem like a very simple problem—computing ... Keywords: Approximate query processing, multiple hypothesis testing, sampling

Fei Xu; Christopher Jermaine; Alin Dobra

2008-08-01T23:59:59.000Z

342

Frequency domain model-based intracranial pressure estimation  

E-Print Network (OSTI)

Elevation of intracranial pressure (ICP), the pressure of the fluid surrounding the brain, can require urgent medical attention. Current methods for determining ICP are invasive, require neurosurgical expertise, and can ...

Hwang, Irena T. (Irena Tammy)

2012-01-01T23:59:59.000Z

343

Real-Time Precipitation Estimation Based on Index Station Percentiles  

Science Conference Proceedings (OSTI)

Operational hydrologic models are typically calibrated using meteorological inputs derived from retrospective station data that are commonly not available in real time. Inconsistencies between the calibration and (generally sparser) real-time ...

Qiuhong Tang; Andrew W. Wood; Dennis P. Lettenmaier

2009-02-01T23:59:59.000Z

344

Sample design-based methodology for estimating delta smelt abundance  

E-Print Network (OSTI)

of the gear from a cov- ered cod-end experiment, stratifiedcollect- ed during a covered cod-end experiment (Sweetnamcover was attached to the cod-end of a midwater trawl which

Newman, Ken B.

2008-01-01T23:59:59.000Z

345

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

E-Print Network (OSTI)

applications with negligible on-line computational costs. .... The cost function ...... Oils. Waxes. Tubular. Reactor. Hyper-Compressor. High-Pressure. Separator.

346

Correlation and local feature based cloud motion estimation  

Science Conference Proceedings (OSTI)

Short-term changes in atmospheric transmissivity caused by clouds can engender more severe fluctuations in photovoltaic (PV) outputs than those from traditional power plants. As PV energy continues to penetrate the U. S. National Energy Grid, such volatility ...

Hao Huang; Shinjae Yoo; Dantong Yu; Dong Huang; Hong Qin

2012-08-01T23:59:59.000Z

347

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS  

E-Print Network (OSTI)

a two-year research program in heat transfer and viscoelastic fluid flows, after working for some time Sciences), Fluid Mechanics, Heat Transfer and related (815) 753-9975 Page 1 of 2WSEAS Conferences: www on HEAT and MASS TRANSFER (HMT'09) [Download a Map of the area (16 Kbytes)] [Download a Map of the city

348

Stable Multiscale Bases and Local Error Estimation for Elliptic Problems  

E-Print Network (OSTI)

methods to accelerate the search, can form practical algorithms for rigorously finding all roots at such points in the second problem. nle-1 This one-dimensional problem is given by f(x) = |x2 + 5x| + x + 1 = 0. Its roots are at x = -2 - 5 [-4.237, -4.236] and x = -3 - 8 [-5.829, -5.828]. nle-2 This two

Dahlke, Stephan

349

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS  

E-Print Network (OSTI)

, Singapore. ©2006, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www operating refrigerant pressure limits). A design goal must therefore be to control the rise or drop exponent is dependent on the refrigerant type; the values of the isentropic exponents are obtained from

350

RADIAL-BASED NOISE POWER ESTIMATION FOR WEATHER RADARS  

Science Conference Proceedings (OSTI)

A radar antenna intercepts thermal radiation from various sources including the ground, the sun, the sky, precipitation and man-made radiators. In the radar receiver, this external radiation produces noise that constructively adds to the receiver ...

Igor R. Ivi?; Christopher Curtis; Sebastián M. Torres

351

The Estimation of Wind Turbine Pitch Angle Based on ANN  

Science Conference Proceedings (OSTI)

Variable-speed and constant-frequency (VSCF) pitch-controlled wind turbine is believed to be superior to other types of wind turbine due to its features such as high efficiency and ideal starting and braking performance, Artificial Neural Networks (ANN) ... Keywords: VSCF, ANN, pitch angle, Pitch-controlled system

Yanping Liu; Shuhong Liu; Hongmei Guo; Huajun Wang

2009-11-01T23:59:59.000Z

352

An Observationally Based Estimate of the Climate Sensitivity  

Science Conference Proceedings (OSTI)

A probability distribution for values of the effective climate sensitivity, with a lower bound of 1.6 K (5th percentile), is obtained on the basis of the increase in ocean heat content in recent decades from analyses of observed interior-ocean ...

J. M. Gregory; R. J. Stouffer; S. C. B. Raper; P. A. Stott; N. A. Rayner

2002-11-01T23:59:59.000Z

353

Estimating Impacts of Diesel Fuel Reformulation with Vector-based...  

NLE Websites -- All DOE Office Websites (Extended Search)

On-road diesel fuel Volume, MBD 680.2 688.8 +1.3 Marginal cost, bbl 38.11 38.11 0.0 Home heating oil Volume, MBD 19.3 20.28 +5.0 Marginal cost, bbl 38.05 33.48 -12.0...

354

Earth resistivity estimation based on satellite imaging techniques  

Science Conference Proceedings (OSTI)

This paper proposes a useful technique for generating an earth resistivity map. Earth resistance is one of essential factors in a broad range of power system analysis and design. Information of earth resistivity is helpful for practical power system ... Keywords: Wenner method, classification technique, earth resistivity, multispectral, power system grounding, satellite image technology

Kwanchai Norsangsri; Thanatchai Kulworawanichpong

2009-09-01T23:59:59.000Z

355

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

356

Figure 1.6 State-Level Energy Consumption Estimates and Estimated ...  

U.S. Energy Information Administration (EIA)

Figure 1.6 State-Level Energy Consumption Estimates and Estimated Consumption per Capita, 2010 Consumption Consumption per Capita

357

Bayesian estimation in homodyne interferometry  

E-Print Network (OSTI)

We address phase-shift estimation by means of squeezed vacuum probe and homodyne detection. We analyze Bayesian estimator, which is known to asymptotically saturate the classical Cramer-Rao bound to the variance, and discuss convergence looking at the a posteriori distribution as the number of measurements increases. We also suggest two feasible adaptive methods, acting on the squeezing parameter and/or the homodyne local oscillator phase, which allow to optimize homodyne detection and approach the ultimate bound to precision imposed by the quantum Cramer-Rao theorem. The performances of our two-step methods are investigated by means of Monte Carlo simulated experiments with a small number of homodyne data, thus giving a quantitative meaning to the notion of asymptotic optimality.

Stefano Olivares; Matteo G. A. Paris

2009-01-16T23:59:59.000Z

358

Analysis of Cost Estimating Processes Used Within a Concurrent Engineering  

E-Print Network (OSTI)

Concurrent engineering environments affect the cost estimating and engineering capability of an organisation. Cost estimating tools become outdated and need changing in order to reflect the new environment. This is essential, since cost estimating is the start of the cost management process and influences the `go', `no go' decisions concerning a new product development. This paper examines both traditional and more recent developments in order to highlight their advantages and limitations. The analysis includes parametric estimating, feature based costing, artificial intelligence, and cost management techniques. This study was deemed necessary because recent investigations carried out by Cranfield University highlighted that many concurrent engineering companies are not making efficient, wide spread use of existing estimating and cost management tools. In order to promote more efficient use of the discussed estimating processes within the twenty first century, this paper highlights the work of a leading European aerospace manufacturer and their efforts to develop a more seamless estimating environment. Furthermore, a matrix is developed that illustrates particular concurrent engineering environments to which each technique is aptly suited.

Environment Throughout Product; Christopher Rush; Dr. Rajkumar Roy

2000-01-01T23:59:59.000Z

359

Measurement campaigns for holdup estimation  

SciTech Connect

The derivation of technically defensible holdup estimates is described. Considerations important in the planning of measurement campaigns to provide necessary data are reviewed and the role of statistical sampling is discussed. By design, the presentation is nonmathematical and intended for a general audience. Though clearly important, use of sampling principles in the planning of holdup-related activities is sometimes viewed with apprehension. Holdup is often poorly understood to begin with, and the incorporation of the esoteric matters only adds to an image problem. Unfortunately, there are no painless options. In many operating facilities, surface areas on which holdup has accumulated amount to many square miles. It is not practical to pursue 100% measurement of all such surface areas. Thus, some portion is measured - constituting a ''sample,'' whether obtained by a formal procedure or not. Understanding the principles behind sampling is important in planning and in developing legitimate holdup estimates. Although derivation of legitimate, facility-wide holdup estimates is not currently mandated by Department of Energy regulatory requirements, the related activities would greatly advance the present state of knowledge.

Picard, R.R. (Los Alamos National Lab., Los Alamos, NM (US))

1988-07-01T23:59:59.000Z

360

Enhancement of satellite precipitation estimation via unsupervised dimensionality reduction  

SciTech Connect

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

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

An Accurate Jitter Estimation Technique for Efficient High Speed I/O Testing  

Science Conference Proceedings (OSTI)

This paper describes a technique for estimating total jitter that, along with a loopback-based margining test, can be applied to test high speed serial interfaces. We first present the limitations of the existing estimation method, which is based on ...

Dongwoo Hong; Kwang-Ting (Tim) Cheng

2007-10-01T23:59:59.000Z

362

Assessment of the Global Monthly Mean Surface Insolation Estimated from Satellite Measurements Using Global Energy Balance Archive Data  

Science Conference Proceedings (OSTI)

Global datasets of surface radiation budget (SRB) have been obtained from satellite programs. These satellite-based estimates need validation with ground-truth observations. This study validates the estimates of monthly mean surface insolation ...

Zhanqing Li; Charles H. Whitlock; Thomas P. Charlock

1995-02-01T23:59:59.000Z

363

Satellite-Derived Surface Radiation Budget over the African Continent. Part I: Estimation of Downward Solar Irradiance and Albedo  

Science Conference Proceedings (OSTI)

Downward surface solar irradiance and albedo of the African continent are estimated from Meteosat B2 data at 30-km spatial resolution. The algorithm, based on Dedieu et al.’s approach, is verified against other satellite estimates and ground-...

Mamoudou B. Ba; Robert Frouin; Sharon E. Nicholson; Gérard Dedieu

2001-01-01T23:59:59.000Z

364

Cost and production estimation for a cutter suction dredge  

E-Print Network (OSTI)

The need for accurate cost estimates is well recognized in the dredging industry. In order for a dredging contractor to efficiently execute a project from its conception to its completion, an accurate estimate of the final cost is imperative. The most practical method of determining the cost is through the use of a computer program, based on the capability of personal computers to manipulate large amounts of data and perform difficult calculations without error. Development of such a program requires both theoretical and practical knowledge of the dredging process. There are several existing cost estimation and production estimation programs in use in the dredging industry today. Several different algorithms to estimate production have been developed over the years, and there are some non-proprietary production programs. However, the majority of both cost and production estimation programs are proprietary and therefore not available to those apart from the individual company. Therefore, the need exists for a program of this type which can be made available to the general public. This report discusses the development of a new generalized cost and production estimation program. Both slurry transport theory and centrifugal pump theory are incorporated into the production component of the program. This is necessary to obtain an accurate production estimate in the absence of a great deal of data for a specific dredge. Practical knowledge of costs associated with the dredging process is applied in the cost estimation component. The gram is written in the Quattropro(version6.01)spread sheet formatand may be used in conjunction with Microsoft Windows version 3.1 or Windows95. The acronym CSDCEP has been given to the program, which stands for Cutter detailing the operation of the program is available. The cost estimate results produced by CSDCEP were compared with actual data and government cost estimates for twenty one completed projects. The average difference between the estimate and the actual costs was twenty four percent. CSDCEP is a generalized cost estimating program that yields a good approximation of the final dredging cost.

Miertschin, Michael Wayne

1997-01-01T23:59:59.000Z

365

Integrated Estimates of Global Terrestrial Carbon Sequestration  

SciTech Connect

Assessing the contribution of terrestrial carbon sequestration to international climate change mitigation requires integration across scientific and disciplinary boundaries. As part of a scenario analysis for the US Climate Change Technology Program, measurements and geographic data were used to develop terrestrial carbon sequestration estimates for agricultural soil carbon, reforestation and pasture management. These estimates were then applied in the MiniCAM integrated assessment model to evaluate mitigation strategies within policy and technology scenarios aimed at achieving atmospheric CO2 stabilization by 2100. Adoption of terrestrial sequestration practices is based on competition for land and economic markets for carbon. Terrestrial sequestration reach a peak combined rate of 0.5 to 0.7 Gt carbon yr-1 in mid-century with contributions from agricultural soil (0.21 Gt carbon yr-1), reforestation (0.31 Gt carbon yr-1) and pasture (0.15 Gt carbon yr-1). Sequestration rates vary over time period and with different technology and policy scenarios. The combined contribution of terrestrial sequestration over the next century ranges from 31 to 41 GtC. The contribution of terrestrial sequestration to mitigation is highest early in the century, reaching up to 20% of total carbon mitigation. This analysis provides insight into the behavior of terrestrial carbon mitigation options in the presence and absence of climate change mitigation policies.

Thomson, Allison M.; Izaurralde, R Cesar; Smith, Steven J.; Clarke, Leon E.

2008-02-01T23:59:59.000Z

366

Bounding estimate of DWPF mercury emissions  

DOE Green Energy (OSTI)

Purges required for H2 flammability control and verification of elevated Formic Acid Vent Condenser (FAVC) exit temperatures due to NO{sub x} reactions have lead to significant changes in Chemical Process Cell (CPC) operating conditions. Accordingly, mercury emissions estimates have been updated based upon the new operating requirements, IDMS (Integrated DWPF Melter System) experience, and development of an NO{sub x}/FAVC model which predicts FAVC exit temperatures. Using very conservative assumptions and maximum purge rates, the maximum calculated Hg emissions is approximately 130 lbs/yr. A range of 100 to 120 lbs/yr is conservatively predicted for other operating conditions. Defense Waste Processing Facility (DWPF) permitted Hg emissions are 175 lbs/yr (0.02 lbs/hr annual average).

Jacobs, R.A.

1992-12-01T23:59:59.000Z

367

Well cost estimates in various geothermal regions  

DOE Green Energy (OSTI)

A project to estimate well costs in regions of current geothermal activity has been initiated. Costs associated with commonly encountered drilling problems will be included. Activity-based costing techniques will be employed to allow the identification of cost drivers and the evaluation of the economic effects of new technologies and operational procedures on well costs. The sensitivity of well costs to a number of parameters such as rate-of-penetration and daily operating costs will be examined. Additional sensitivity analyses and trade-off studies will evaluate the efficiency of various operational practices and preventive, as well as remedial, actions. These efforts should help provide an understanding of the consumption of resources in geothermal drilling.

Pierce, K.G.; Bomber, T.M. [Sandia National Labs., Albuquerque, NM (United States); Livesay, B.J. [Livesay Consultants, Encinitas, CA (United States)

1997-06-01T23:59:59.000Z

368

Estimation of Chinese Inventories for Historical NMVOCs Emissions from Combustion  

Science Conference Proceedings (OSTI)

Based on time-varying statistical data and emission factors, multiyear NMVOCs emission inventories from fossil fuel combustion, biofuel burning, and biomass open burning in China for 1980-2005 were presented by a bottom-up estimate. The contributions ... Keywords: NMVOCs, emission inventory, combustion, China

Y. Bo; H. Cai; S. D. Xie

2008-10-01T23:59:59.000Z

369

Estimating the Correlation Dimension of Atmospheric Time Series  

Science Conference Proceedings (OSTI)

The correlation dimension D is commonly used to quantify the chaotic structure of atmospheric time series. The standard algorithm for estimating the value of D is based on finding the slope of the curve obtained by plotting ln C(r) versus ln r, ...

Hampton N. Shirer; Christian J. Fosmire; Robert Wells; Laurentia Suciu

1997-01-01T23:59:59.000Z

370

Comparison of weighted grey relational analysis for software effort estimation  

Science Conference Proceedings (OSTI)

In recent years, grey relational analysis (GRA), a similarity-based method, has been proposed and used in many applications. However, we found that most traditional GRA methods only consider nonweighted similarity for predicting software development ... Keywords: Grey relational analysis (GRA), Software cost, Software development effort, Software effort estimation, Weighted assignment

Chao-Jung Hsu; Chin-Yu Huang

2011-03-01T23:59:59.000Z

371

On resampling and uncertainty estimation in Linear System Identification  

Science Conference Proceedings (OSTI)

Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single input-output data set. Here we investigate the utility of various methods for estimating the probability distribution of this nominal ... Keywords: Bootstrap, Model validation, Monte Carlo, Resampling, Subsampling, System identification

Simone Garatti; Robert R. Bitmead

2010-05-01T23:59:59.000Z

372

The Lithium-Ion Cell: Model, State Of Charge Estimation  

E-Print Network (OSTI)

The Lithium-Ion Cell: Model, State Of Charge Estimation and Battery Management System Tutor degradation mechanisms of a Li-ion cell based on LiCoO2", Journal of Power Sources #12;Lithium ions and e and Y. Fuentes. Computer simulations of a lithium-ion polymer battery and implications for higher

Schenato, Luca

373

Wind Power Technology Status and Performance and Cost Estimates - 2009  

Science Conference Proceedings (OSTI)

This report provides an update on the status and cost of wind power technology based on the Wind Power Technology Status and Performance and Cost Estimates – 2008 (EPRI report 1015806). It addresses the status of wind turbine and related technology for both onshore and offshore applications and the performance and cost of onshore wind power plants.

2009-11-20T23:59:59.000Z

374

Improved stove programs need robust methods to estimate carbon offsets  

E-Print Network (OSTI)

supply demand mapping tool for woodfuel management. Biomassbiomass Uncertainty based on sample size and variability in measurements Community- level estimates using C-WISDOM fuel wood supply/supply/demand imbalances at the local level: a case study for Central Mexico. Biomass

Johnson, Michael; Edwards, Rufus; Masera, Omar

2010-01-01T23:59:59.000Z

375

Phase estimation with weak measurement using a white light source  

E-Print Network (OSTI)

We report results of a high precision phase estimation based on a weak measurements scheme using commercial light-emitting diode. The method is based on a measurement of the imaginary part of the weak value of a polarization operator. The imaginary part of the weak value appeared due to the measurement interaction itself. The sensitivity of our method is equivalent to resolving light pulses of order of attosecond and it is robust against chromatic dispersion.

Xiao-Ye Xu; Yaron Kedem; Kai Sun; Lev Vaidman; Chuan-Feng Li; Guang-Can Guo

2013-06-20T23:59:59.000Z

376

Upper Estimates for Banach Spaces  

E-Print Network (OSTI)

We study the relationship of dominance for sequences and trees in Banach spaces. In the context of sequences, we prove that domination of weakly null sequences is a uniform property. More precisely, if $(v_i)$ is a normalized basic sequence and $X$ is a Banach space such that every normalized weakly null sequence in $X$ has a subsequence that is dominated by $(v_i)$, then there exists a uniform constant $C\\geq1$ such that every normalized weakly null sequence in $X$ has a subsequence that is $C$-dominated by $(v_i)$. We prove as well that if $V=(v_i)_{i=1}^\\infty$ satisfies some general conditions, then a Banach space $X$ with separable dual has subsequential $V$ upper tree estimates if and only if it embeds into a Banach space with a shrinking FDD which satisfies subsequential $V$ upper block estimates. We apply this theorem to Tsirelson spaces to prove that for all countable ordinals $\\alpha$ there exists a Banach space $X$ with Szlenk index at most $\\omega^{\\alpha \\omega +1}$ which is universal for all Banach spaces with Szlenk index at most $\\omega^{\\alpha\\omega}$.

Freeman, Daniel B.

2009-08-01T23:59:59.000Z

377

Estimating uncertainty of inference for validation  

SciTech Connect

We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the first in a series of inference uncertainty estimations. While the methods demonstrated are primarily statistical, these do not preclude the use of nonprobabilistic methods for uncertainty characterization. The methods presented permit accurate determinations for validation and eventual prediction. It is a goal that these methods establish a standard against which best practice may evolve for determining degree of validation.

Booker, Jane M [Los Alamos National Laboratory; Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Ross, Timothy J [UNM

2010-09-30T23:59:59.000Z

378

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

379

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (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.

380

Knowledge-Based Multi-Criteria Optimization to Support Indoor Positioning  

E-Print Network (OSTI)

University of Potsdam, Germany Abstract Indoor position estimation constitutes a central task in home-based

Schaub, Torsten

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

Occupational dose estimates for a monitored retrievable storage facility  

SciTech Connect

Occupational doses were estimated for radiation workers at the monitored retrievable storage (MRS) facility. This study provides an estimate of the occupational dose based on the current MRS facility design, examines the extent that various design parameters and assumptions affect the dose estimates, and identifies the areas and activities where exposures can be reduced most effectively. Occupational doses were estimated for both the primary storage concept and the alternate storage concept. The dose estimates indicate the annual dose to all radiation workers will be below the 5 rem/yr federal dose equivalent limit. However, the estimated dose to most of the receiving and storage crew (the workers responsible for the receipt, storage, and surveillance of the spent fuel and its subsequent retrieval), to the crane maintenance technicians, and to the cold and remote maintenance technicians is above the design objective of 1 rem/yr. The highest annual dose is received by the riggers (4.7 rem) in the receiving and storage crew. An indication of the extent to which various design parameters and assumptions affect the dose estimates was obtained by changing various design-based assumptions such as work procedures, background dose rates in radiation zones, and the amount of fuel received and stored annually. The study indicated that a combination of remote operations, increased shielding, and additional personnel (for specific jobs) or changes in operating procedures will be necessary to reduce worker doses below 1.0 rem/yr. Operations that could be made at least partially remote include the removal and replacement of the tiedowns, impact limiters, and personnel barriers from the shipping casks and the removal or installation of the inner closure bolts. Reductions of the background dose rates in the receiving/shipping and the transfer/discharge areas may be accomplished with additional shielding.

Harty, R.; Stoetzel, G.A.

1986-06-01T23:59:59.000Z

382

K East basin sludge volume estimates for integrated water treatment system  

Science Conference Proceedings (OSTI)

This document provides estimates of the volume of sludge expected from Integrated Process Strategy (IPS) processing of the fuel elements and in the fuel storage canisters in K East Basin. The original estimates were based on visual observations of fuel element condition in the basin and laboratory measurements of canister sludge density. Revision 1 revised the volume estimates of sludge from processing of the fuel elements based on additional data from evaluations of material from the KE Basin fuel subsurface examinations. A nominal Working Estimate and an upper level Working Bound is developed for the canister sludge and the fuel wash sludge components in the KE Basin.

Pearce, K.L.

1998-08-19T23:59:59.000Z

383

The Federal Highway Administration Gasohol Consumption Estimation Model  

SciTech Connect

The Federal Highway Administration (FHWA) is responsible for estimating the portion of Federal highway funds attributable to each State. The process involves use of State-reported data (gallons) and a set of estimation models when accurate State data is unavailable. To ensure that the distribution of funds is equitable, FHWA periodically reviews the estimation models. Estimation of the use of gasohol is difficult because of State differences in the definition of gasohol, inability of many States to separate and report gasohol usage from other fuel types, changes in fuel composition in nonattainment areas to address concerns over the use of certain fuel additives, and the lack of a valid State-level surrogate data set for gasohol use. Under the sponsorship of FHWA, Oak Ridge National Laboratory (ORNL) reviewed the regression-based gasohol estimation model that has been in use for several years. Based on an analytical assessment of that model and an extensive review of potential data sets, ORNL developed an improved rule-based model. The new model uses data from Internal Revenue Service, Energy Information Administration, Environmental Protection Agency, Department of Energy, ORNL, and FHWA sources. The model basically consists of three parts: (1) development of a controlled total of national gasohol usage, (2) determination of reliable State gasohol consumption data, and (3) estimation of gasohol usage for all other States. The new model will be employed for the 2004 attribution process. FHWA is currently soliciting comments and inputs from interested parties. Relevant data, as identified, will be pursued and refinements will be made by the research team if warranted.

Hwang, HL

2003-08-28T23:59:59.000Z

384

Estimating the Urban Bias of Surface Shelter Temperatures Using Upper-Air and Satellite Data. Part II: Estimation of the Urban Bias  

Science Conference Proceedings (OSTI)

A methodology is presented for estimating the urban bias of surface shelter temperatures due to the effect of the urban heat island. Multiple regression techniques were used to predict surface shelter temperatures based on the time period 1986?89 ...

David L. Epperson; Jerry M. Davis; Peter Bloomfield; Thomas R. Karl; Alan L. McNab; Kevin P. Gallo

1995-02-01T23:59:59.000Z

385

Estimation of Convective Rainfall from Lightning Observations  

Science Conference Proceedings (OSTI)

The objective of this study is to develop a technique to use lightning observations for estimating convective rainfall. A framework for rainfall estimation is developed in which key elements are 1) the rainfall–lightning ratio, that is, the ...

Alberto Tapia; James A. Smith; Michael Dixon

1998-11-01T23:59:59.000Z

386

Estimates of Large Spectrum Width from Autocovariances  

Science Conference Proceedings (OSTI)

The authors demonstrate that there are maximum measurable (saturation) spectrum widths for standard autocovariance techniques, the 0,1-lag autocovariance estimator and the 1,2-lag estimator. The maximal mean measurable spectrum widths from the ...

Valery M. Melnikov; Dusan S. Zrni?

2004-06-01T23:59:59.000Z

387

Estimating UV Index Climatology over Canada  

Science Conference Proceedings (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

388

Prediction accuracy of link-quality estimators  

Science Conference Proceedings (OSTI)

The accuracy of link-quality estimators (LQE) is missioncritical in many application scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing decisions or neighborhood formation. Link-quality estimation must offer ...

Christian Renner; Sebastian Ernst; Christoph Weyer; Volker Turau

2011-02-01T23:59:59.000Z

389

Estimated Cost Description Determination Date:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

390

Software Cost Estimation and Control  

E-Print Network (OSTI)

this report, provided that the source of such material is fully acknowledged. Additional copies are available free of charge from: Publication Office Institute for Information Technology National Research Council of Canada Ottawa, Ontario, Canada K1A 0R6 Copyright 1994 par Conseil national de recherches du Canada Il est permis de citer de courts extraits et de reproduire des figures ou tableaux du présent rapport, à condition d'en identifier clairement la source. Des exemplaires supplémentaires peuvent être obtenus gratuitement à l'addresse suivante: Bureau des publications Institut de technologie de l'information Conseil national de recherches du Canada Ottawa (Ontario) Canada K1A 0R6 Software Cost Estimation 1 Table of Contents

M. R. Vigder; A.W. Kark

1994-01-01T23:59:59.000Z

391

2007 Estimated International Energy Flows  

Science Conference Proceedings (OSTI)

An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

Smith, C A; Belles, R D; Simon, A J

2011-03-10T23:59:59.000Z

392

Quantum parameter estimation using general single-mode Gaussian states  

E-Print Network (OSTI)

We calculate the quantum Cram\\'er--Rao bound for the sensitivity with which one or several parameters, encoded in a general single-mode Gaussian state, can be estimated. This includes in particular the interesting case of mixed Gaussian states. We apply the formula to the problems of estimating phase, purity, loss, amplitude, and squeezing. In the case of the simultaneous measurement of several parameters, we provide the full quantum Fisher information matrix. Our results unify previously known partial results, and constitute a complete solution to the problem of knowing the best possible sensitivity of measurements based on a single-mode Gaussian state.

Olivier Pinel; Pu Jian; Claude Fabre; Nicolas Treps; Daniel Braun

2013-06-19T23:59:59.000Z

393

Intermediate-Term Uranium Supply Curve Estimation  

Science Conference Proceedings (OSTI)

A study was undertaken to estimate U.S. natural uranium supply capacities and associated production costs over the period 1979-1990 and to develop the general supply outlook to 2000. Annual supply capacity schedules were estimated on an individual mill and mine family basis. Future production schedules were estimated by balancing estimated supply capacity with DOE's future demand projections; the impact of private-sector inventory levels was accounted for.

1981-02-01T23:59:59.000Z

394

Estimating Flexoelectric Properties of Piezoelectric Crystals  

Science Conference Proceedings (OSTI)

Energy Harvesting Utilized Resonance Phenomena of Piezoelectric Unimorph · Estimating Flexoelectric Properties of Piezoelectric Crystals: Utilization of a ...

395

Nonlinear spectral density estimation: thresholding the correlogram  

E-Print Network (OSTI)

in a nonlinear way. The rate of convergence of the new estimators is quantified, and practical issues estimation of the spectral density function; examples include astronomy, economics, electrical engineering Einstein (1914); see Brillinger (1993) for a historical perspective. The prevalent spectral estimation

Politis, Dimitris N.

396

New Methodology for Natural Gas Production Estimates  

Reports and Publications (EIA)

A new methodology is implemented with the monthly natural gas production estimates from the EIA-914 survey this month. The estimates, to be released April 29, 2010, include revisions for all of 2009. The fundamental changes in the new process include the timeliness of the historical data used for estimation and the frequency of sample updates, both of which are improved.

Information Center

2010-04-26T23:59:59.000Z

397

Skew estimation of document images using bagging  

Science Conference Proceedings (OSTI)

This paper proposes a general-purpose method for estimating the skew angles of document images. Rather than to derive a skew angle merely from text lines, the proposed method exploits various types of visual cues of image skew available in local image ... Keywords: bagging estimator, document image analysis, floating cascade, radon transform, skew estimation

Gaofeng Meng; Chunhong Pan; Nanning Zheng; Chen Sun

2010-07-01T23:59:59.000Z

398

Developing an activity-based costing approach for system development and implementation  

Science Conference Proceedings (OSTI)

This paper proposes the use of the Activity Based Costing (ABC) approach to software estimation. Like other more traditional approaches to software estimation, ABC provides man-day estimates. In addition, it also provides detailed costing information ... Keywords: IS project planning, activity-based costing, effort estimation, organizational learning, software process measurement, time and cost estimation

Ginny Ooi; Christina Soh

2003-08-01T23:59:59.000Z

399

Estimating Terrorist Risk with Possibility Theory  

SciTech Connect

This report summarizes techniques that use possibility theory to estimate the risk of terrorist acts. These techniques were developed under the sponsorship of the Department of Homeland Security (DHS) as part of the National Infrastructure Simulation Analysis Center (NISAC) project. The techniques have been used to estimate the risk of various terrorist scenarios to support NISAC analyses during 2004. The techniques are based on the Logic Evolved Decision (LED) methodology developed over the past few years by Terry Bott and Steve Eisenhawer at LANL. [LED] The LED methodology involves the use of fuzzy sets, possibility theory, and approximate reasoning. LED captures the uncertainty due to vagueness and imprecision that is inherent in the fidelity of the information available for terrorist acts; probability theory cannot capture these uncertainties. This report does not address the philosophy supporting the development of nonprobabilistic approaches, and it does not discuss possibility theory in detail. The references provide a detailed discussion of these subjects. [Shafer] [Klir and Yuan] [Dubois and Prade] Suffice to say that these approaches were developed to address types of uncertainty that cannot be addressed by a probability measure. An earlier report discussed in detail the problems with using a probability measure to evaluate terrorist risk. [Darby Methodology]. Two related techniques are discussed in this report: (1) a numerical technique, and (2) a linguistic technique. The numerical technique uses traditional possibility theory applied to crisp sets, while the linguistic technique applies possibility theory to fuzzy sets. Both of these techniques as applied to terrorist risk for NISAC applications are implemented in software called PossibleRisk. The techniques implemented in PossibleRisk were developed specifically for use in estimating terrorist risk for the NISAC program. The LEDTools code can be used to perform the same linguistic evaluation as performed in PossibleRisk. [LEDTools] LEDTools is a general purpose linguistic evaluation tool and allows user defined universes of discourse and approximate reasoning rules, whereas PossibleRisk uses predefined universes of discourse (risk, attack, success, loss, and consequence) and rules. Also LEDTools has the capability to model a large number of threat scenarios with a graph and to integrate the scenarios (paths from the graph) into the linguistic evaluation. Example uses of PossibleRisk and LEDTools for the possibilistic evaluation of terrorist risk are provided in this report.

J.L. Darby

2004-11-30T23:59:59.000Z

400

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

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

COBRA: A Hybrid Method for Software Cost Estimation, Benchmarking, and Risk Assessment  

E-Print Network (OSTI)

Current cost estimation techniques have a number of drawbacks. For example, developing algorithmic models requires extensive past project data. Also, off-the-shelf models have been found to be difficult to calibrate but inaccurate without calibration. Informal approaches based on experienced estimators depend on estimators' availability and are not easily repeatable, as well as not being much more accurate than algorithmic techniques. In this paper we present a method for cost estimation that combines aspects of algorithmic and experiential approaches (referred to as COBRA, COst estimation, Benchmarking, and Risk Assessment). We find through a case study that cost estimates using COBRA show an average ARE of 0.09, and show that the results are easily usable for benchmarking and risk assessment purposes. 1 Introduction Project and program managers require accurate and reliable cost estimates to allocate and control project resources, and to make realistic bids on external contracts. ...

Lionel C. Briand; Khaled El Emam; Frank Bomarius

1997-01-01T23:59:59.000Z

402

Estimation of Fuel Use by Idling Commercial Trucks  

NLE Websites -- All DOE Office Websites (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

403

Estimating the State of AC Power Systems using Semidefinite Programming  

E-Print Network (OSTI)

An important monitoring task for power networks is to estimate accurately the underlying grid state, which is useful for security-constrained dispatch and power system control. For nonlinear AC power systems, the state estimation (SE) problem is inherently nonconvex giving rise to many local optima. As a result, existing estimators used extensively in practice rely on iterative optimization methods, which are destined to return only locally optimal solutions. A semidefinite programming (SDP) based approach is introduced in this paper, which relies on convex relaxation of the original SE problem and thereby renders it efficiently solvable. A sufficient condition also becomes available to guarantee that the dual SDP problem attains zero duality gap, and thus ensure that the globally optimal SE solution is achievable in polynomial time. The novel scheme's ability to markedly outperform existing iterative alternatives is corroborated through numerical tests on the standard IEEE 14-bus benchmark system.

Zhu, Hao

2011-01-01T23:59:59.000Z

404

A posteriori error estimates for finite volume approximations of elliptic equations on general surfaces  

SciTech Connect

In this paper, we present a residual-based a posteriori error estimate for the finite volume discretization of steady convection– diffusion–reaction equations defined on surfaces in R3, which are often implicitly represented as level sets of smooth functions. Reliability and efficiency of the proposed a posteriori error estimator are rigorously proved. Numerical experiments are also conducted to verify the theoretical results and demonstrate the robustness of the error estimator.

Ju, Lili [University of South Carolina; Tian, Li [University of South Carolina; Wang, Desheng [Nanyang Technological University

2009-01-01T23:59:59.000Z

405

A Study of Channel Estimation and Postprocessing in Quantum Key Distribution Protocols  

E-Print Network (OSTI)

This thesis investigate the channel estimation and the postprocessing of the quantum key distribution protocols. In particular, we propose a new channel estimation procedure, in which we utilize the bit sequences transmitted and received by different bases, and a new postprocessing with two-way classical communication. Then, we show that the key generation rates of the QKD protocols with our channel estimation and/or our postprocessing are higher than those with conventional ones.

Shun Watanabe

2009-04-13T23:59:59.000Z

406

Conditional Value-at-Risk and Average Value-at-Risk: Estimation and Asymptotics  

Science Conference Proceedings (OSTI)

We discuss linear regression approaches to the estimation of law-invariant conditional risk measures. Two estimation procedures are considered and compared; one is based on residual analysis of the standard least-squares method, and the other is in the ... Keywords: M-estimators, average value-at-risk, conditional risk measures, law-invariant risk measures, least-squares residuals, linear regression, quantile regression, statistical inference, value-at-risk

So Yeon Chun; Alexander Shapiro; Stan Uryasev

2012-07-01T23:59:59.000Z

407

Atmospheric Inverse Estimates of Methane Emissions from Central California  

SciTech Connect

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

408

LBNL-5940E Monitoring-based HVAC  

NLE Websites -- All DOE Office Websites (Extended Search)

estimate, and then was further calibrated based on monitored data from the EMCS and EIS (Energy Information Systems). Design flow rates, fan pressure rise and speed of supply...

409

Geographically Based Infrastructure Margo Melendez & Keith Parks  

E-Print Network (OSTI)

Diagram Geographically-based Infrastructure Analysis GIS Transportation Technologies & Systems Electric resulting H2 demand and changing demand ­ Estimate infrastructure needs and usage ­ Predict transition

410

New Methodology for Estimating Fuel Economy by Vehicle Class  

SciTech Connect

Office of Highway Policy Information to develop a new methodology to generate annual estimates of average fuel efficiency and number of motor vehicles registered by vehicle class for Table VM-1 of the Highway Statistics annual publication. This paper describes the new methodology developed under this effort and compares the results of the existing manual method and the new systematic approach. The methodology developed under this study takes a two-step approach. First, the preliminary fuel efficiency rates are estimated based on vehicle stock models for different classes of vehicles. Then, a reconciliation model is used to adjust the initial fuel consumption rates from the vehicle stock models and match the VMT information for each vehicle class and the reported total fuel consumption. This reconciliation model utilizes a systematic approach that produces documentable and reproducible results. The basic framework utilizes a mathematical programming formulation to minimize the deviations between the fuel economy estimates published in the previous year s Highway Statistics and the results from the vehicle stock models, subject to the constraint that fuel consumptions for different vehicle classes must sum to the total fuel consumption estimate published in Table MF-21 of the current year Highway Statistics. The results generated from this new approach provide a smoother time series for the fuel economies by vehicle class. It also utilizes the most up-to-date and best available data with sound econometric models to generate MPG estimates by vehicle class.

Chin, Shih-Miao [ORNL; Dabbs, Kathryn [University of Tennessee, Knoxville (UTK); Hwang, Ho-Ling [ORNL

2011-01-01T23:59:59.000Z

411

Density-based logistic regression  

Science Conference Proceedings (OSTI)

This paper introduces a nonlinear logistic regression model for classification. The main idea is to map the data to a feature space based on kernel density estimation. A discriminative model is then learned to optimize the feature weights as well as ... Keywords: density estimation, logistic regression, medical prediction, nonlinear classification

Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo

2013-08-01T23:59:59.000Z

412

Distributed Estimation in Sensor Networks with Modeling Uncertainty  

E-Print Network (OSTI)

A major issue in distributed wireless sensor networks (WSNs) is the design of efficient distributed algorithms for network-wide dissemination of information acquired by individual sensors, where each sensor, by itself, is unable to access enough data for reliable decision making. Without a centralized fusion center, network-wide reliable inferencing can be accomplished by recovering meaningful global statistics at each sensor through iterative inter-sensor message passing. In this dissertation, we first consider the problem of distributed estimation of an unknown deterministic scalar parameter (the target signal) in a WSN, where each sensor receives a single snapshot of the field. An iterative distributed least-squares (DLS) algorithm is investigated with and without the consideration of node failures. In particular, without sensor node failures it is shown that every instantiation of the DLS algorithm converges, i.e., consensus is reached among the sensors, with the limiting agreement value being the centralized least-squares estimate. With node failures during the iterative exchange process, the convergence of the DLS algorithm is still guaranteed; however, an error exists be- tween the limiting agreement value and the centralized least-squares estimate. In order to reduce this error, a modified DLS scheme, the M-DLS, is provided. The M-DLS algorithm involves an additional weight compensation step, in which a sensor performs a one-time weight compensation procedure whenever it detects the failure of a neighbor. Through analytical arguments and simulations, it is shown that the M-DLS algorithm leads to a smaller error than the DLS algorithm, where the magnitude of the improvement dependents on the network topology. We then investigate the case when the observation or sensing mode is only partially known at the corresponding nodes, perhaps, due to their limited sensing capabilities or other unpredictable physical factors. Specifically, it is assumed that the observation validity at a node switches stochastically between two modes, with mode I corresponding to the desired signal plus noise observation mode (a valid observation), and mode II corresponding to pure noise with no signal information (an invalid observation). With no prior information on the local sensing modes (valid or invalid), we introduce a learning-based distributed estimation procedure, the mixed detection-estimation (MDE) algorithm, based on closed-loop interactions between the iterative distributed mode learning and the target estimation. The online learning (or sensing mode detection) step re-assesses the validity of the local observations at each iteration, thus refining the ongoing estimation update process. The convergence of the MDE algorithm is established analytically, and the asymptotic performance analysis studies shows that, in the high signal-to-noise ratio (SNR) regime, the MDE estimation error converges to that of an ideal (centralized) estimator with perfect information about the node sensing modes. This is in contrast with the estimation performance of a naive average consensus based distributed estimator (with no mode learning), whose estimation error blows up with an increasing SNR.

Zhou, Qing

2013-05-01T23:59:59.000Z

413

Reliability Estimates for Power Supplies  

Science Conference Proceedings (OSTI)

Failure rates for large power supplies at a fusion facility are critical knowledge needed to estimate availability of the facility or to set priorties for repairs and spare components. A study of the "failure to operate on demand" and "failure to continue to operate" failure rates has been performed for the large power supplies at DIII-D, which provide power to the magnet coils, the neutral beam injectors, the electron cyclotron heating systems, and the fast wave systems. When one of the power supplies fails to operate, the research program has to be either temporarily changed or halted. If one of the power supplies for the toroidal or ohmic heating coils fails, the operations have to be suspended or the research is continued at de-rated parameters until a repair is completed. If one of the power supplies used in the auxiliary plasma heating systems fails the research is often temporarily changed until a repair is completed. The power supplies are operated remotely and repairs are only performed when the power supplies are off line, so that failure of a power supply does not cause any risk to personnel. The DIII-D Trouble Report database was used to determine the number of power supply faults (over 1,700 reports), and tokamak annual operations data supplied the number of shots, operating times, and power supply usage for the DIII-D operating campaigns between mid-1987 and 2004. Where possible, these power supply failure rates from DIII-D will be compared to similar work that has been performed for the Joint European Torus equipment. These independent data sets support validation of the fusion-specific failure rate values.

Lee C. Cadwallader; Peter I. Petersen

2005-09-01T23:59:59.000Z

414

Budget estimates. Fiscal year 1998  

SciTech Connect

The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.

1997-02-01T23:59:59.000Z

415

DEVELOPMENT OF A PRODUCTION COST ESTIMATION FRAMEWORK TO SUPPORT PRODUCT FAMILY DESIGN  

E-Print Network (OSTI)

The main task of a product family designer is to decide the right components/design variables to share among products to maintain economies of scale with minimum sacrifice in the performance of each product in the family. The decisions are usually based on several criteria, but production cost is of primary concern. Estimating the production cost of a family of products involves both estimating the production cost of each product in the family and the costs incurred by common and variant components/design variables in the family. To estimate these costs consistently and accurately, we propose a production cost estimation framework to support product family design based on Activity-Based Costing (ABC) that consists of three stages: (1) allocation, (2) estimation, and (3) analysis. In the allocation stage, the production activities and resources needed to produce the entire products in a family are identified and classified with an activity table, a resource table, and a production flow. To help allocate product data for production, a product family structure is represented by a hierarchical classification of products that form the product family. In the estimation stage, production costs are estimated with cost estimation methods selected based on the type of information available. In the analysis stage,

Jaeil Park; Timothy W. Simpson

2004-01-01T23:59:59.000Z

416

A fresh look at cost estimation, process models and risk analysis”, EDSER-1  

E-Print Network (OSTI)

Reliable cost estimation is indispensable for industrial software development. A detailed analysis shows why the existing cost models are unreliable. Cost estimation should integrate software process modelling and risk analysis. A novel approach based on probability theory is proposed. A probabilistic cost model could provide a solid basis for cost-benefit analyses. 1

Frank Padberg

1999-01-01T23:59:59.000Z

417

A genetic algorithm approach to the spectral estimation of time series with noise and missed observations  

Science Conference Proceedings (OSTI)

This study considers the problem of estimating the autoregressive moving average (ARMA) power spectral density when measurements are corrupted by noise and by missed observations. The missed observations model is based on a probabilistic structure. Unlike ... Keywords: ARMA model, Bernoulli modulation, Genetic algorithm, Missed observations, Spectral estimation

Jui-Chung Hung

2008-12-01T23:59:59.000Z

418

ALGORITHMS FOR JOINT ESTIMATION OF ATTENUATION AND EMISSION IMAGES IN PET  

E-Print Network (OSTI)

ALGORITHMS FOR JOINT ESTIMATION OF ATTENUATION AND EMISSION IMAGES IN PET Hakan Erdogan IBM TJ information about the at- tenuating medium. To use all the available information, we propose a joint in these two scans, one can derive a joint objective function based on both scans to jointly estimate attenu

Erdogan, Hakan

419

Joint Estimation of Attenuation and Emission Images from PET Scans Hakan Erdogan and Jeffrey A. Fessler  

E-Print Network (OSTI)

Joint Estimation of Attenuation and Emission Images from PET Scans Hakan Erdogan and Jeffrey A information about the attenuating medium. To use all the available information, we propose a joint estimation optimal use of the information in these two scans, one can derive a joint objective function based on both

Erdogan, Hakan

420

Emission Factors Handbook: Guidelines for Estimating Trace Substance Emissions from Fossil Fuel Steam Electric Plants  

Science Conference Proceedings (OSTI)

The "Emission Factors Handbook" provides a tool for estimating trace substances emissions from fossil-fuel-fired power plants. The suggested emission factors are based on EPRI and Department of Energy (DOE) field measurements conducted at over 50 power plants using generally consistent sampling and analytical protocols. This information will help utility personnel estimate air toxic emissions for permitting purposes.

2002-04-10T23:59:59.000Z

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.


421

MOTOR-VEHICLE INFRASTRUCTURE AND SERVICES PROVIDED BY THE PUBLIC SECTOR Report #7 in the series: The Annualized Social Cost of Motor-Vehicle Use in the United States, based on 1990-1991 Data  

E-Print Network (OSTI)

based on the cost estimates for private parking, in Report #and institutional parking The cost estimates for 1991 area complete social-cost estimate would include, in addition,

Delucchi, Mark

2005-01-01T23:59:59.000Z

422

Motor-Vehicle Infrastructure and Services Provided by the Public Sector: Report #7 in the series: The Annualized Social Cost of Motor-Vehicle Use in the United States, based on 1990-1991 Data  

E-Print Network (OSTI)

based on the cost estimates for private parking, in Report #and institutional parking The cost estimates for 1991 area complete social-cost estimate would include, in addition,

Delucchi, Mark; Murphy, James

2005-01-01T23:59:59.000Z

423

Fuel Cell System for Transportation -- 2005 Cost Estimate  

Science Conference Proceedings (OSTI)

Independent review report of the methodology used by TIAX to estimate the cost of producing PEM fuel cells using 2005 cell stack technology. The U.S. Department of Energy (DOE) Hydrogen, Fuel Cells and Infrastructure Technologies Program Manager asked the National Renewable Energy Laboratory (NREL) to commission an independent review of the 2005 TIAX cost analysis for fuel cell production. The NREL Systems Integrator is responsible for conducting independent reviews of progress toward meeting the DOE Hydrogen Program (the Program) technical targets. An important technical target of the Program is the proton exchange membrane (PEM) fuel cell cost in terms of dollars per kilowatt ($/kW). The Program's Multi-Year Program Research, Development, and Demonstration Plan established $125/kW as the 2005 technical target. Over the last several years, the Program has contracted with TIAX, LLC (TIAX) to produce estimates of the high volume cost of PEM fuel cell production for transportation use. Since no manufacturer is yet producing PEM fuel cells in the quantities needed for an initial hydrogen-based transportation economy, these estimates are necessary for DOE to gauge progress toward meeting its targets. For a PEM fuel cell system configuration developed by Argonne National Laboratory, TIAX estimated the total cost to be $108/kW, based on assumptions of 500,000 units per year produced with 2005 cell stack technology, vertical integration of cell stack manufacturing, and balance-of-plant (BOP) components purchased from a supplier network. Furthermore, TIAX conducted a Monte Carlo analysis by varying ten key parameters over a wide range of values and estimated with 98% certainty that the mean PEM fuel cell system cost would be below DOE's 2005 target of $125/kW. NREL commissioned DJW TECHNOLOGY, LLC to form an Independent Review Team (the Team) of industry fuel cell experts and to evaluate the cost estimation process and the results reported by TIAX. The results of this independent review will permit NREL and DOE to better understand the credibility of the TIAX cost estimation process and to implement changes in future cost analyses, if necessary. The Team found the methodology used by TIAX to estimate the cost of producing PEM fuel cells to be reasonable and, using 2005 cell stack technology and assuming production of 500,000 units per year, to have calculated a credible cost of $108/kW.

Wheeler, D.

2006-10-01T23:59:59.000Z

424

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (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

425

Kalman Filter–Based CMORPH  

Science Conference Proceedings (OSTI)

A Kalman filter (KF)-based Climate Prediction Center (CPC) morphing technique (CMORPH) algorithm is developed to integrate the passive microwave (PMW) precipitation estimates from low-Earth-orbit (LEO) satellites and infrared (IR) observations ...

Robert J. Joyce; Pingping Xie

2011-12-01T23:59:59.000Z

426

Estimation of Rainfall in Burkina Faso Using the ESOC Precipitation Index  

Science Conference Proceedings (OSTI)

Rainfall is estimated in Burkina Faso for a full year using the ESOC precipitation index (EPI), a statistical cloud indexing method based on satellite data from METEOSAT. The EPI is converted into rainfall with the linear regression calculated ...

Olli M. Turpeinen; A. A. Diallo

1989-02-01T23:59:59.000Z

427

Development and Application of a Physical Approach to Estimating Wind Gusts  

Science Conference Proceedings (OSTI)

A new wind gust estimate method (denoted WGE method) is proposed. Contrary to most techniques used in operational weather forecasting, the determination of gusts in this approach is fully based on physical considerations. The main motivation for ...

O. Brasseur

2001-01-01T23:59:59.000Z

428

A variational method for estimating surface fluxes with mass conservation constraint  

Science Conference Proceedings (OSTI)

Based on the similarity theory of the atmospheric surface layer and the mass conservation principle, a new scheme using a variational method is developed to estimate the surface momentum and sensible and latent heat fluxes. In this scheme, the ...

Sen Li; Zhong Zhong; Weidong Guo; Wei Lu

429

Rainfall Estimation from Polarimetric S-Band Radar Measurements: Validation of a Neural Network Approach  

Science Conference Proceedings (OSTI)

A procedure for the estimation of rainfall rate, capitalizing on a radar-based raindrop size distribution (RSD) parameter retrieval and neural network (NN) inversion techniques, is validated using an extensive and quality-controlled archive. The ...

Gianfranco Vulpiani; Scott Giangrande; Frank S. Marzano

2009-10-01T23:59:59.000Z

430

On the empirical estimation of utility distribution damping parameters using power quality waveform data  

Science Conference Proceedings (OSTI)

This paper describes an efficient yet accurate methodology for estimating system damping. The proposed technique is based on linear dynamic system theory and the Hilbert damping analysis. The proposed technique requires capacitor switching waveforms ...

Kyeon Hur; Surya Santoso; Irene Y. H. Gu

2007-01-01T23:59:59.000Z

431

Empirical-Statistical Method to Estimate the Surface Wind Speed over Complex Terrain  

Science Conference Proceedings (OSTI)

An empirical-statistical method to estimate surface wind speed over complex terrain under strong wind condition is proposed. This method is based on the postulation that the surface wind speed depends on a surface roughness parameter and a ...

Hiromi Yamazawa; Junsei Kondo

1989-09-01T23:59:59.000Z

432

Analyses of Global Monthly Precipitation Using Gauge Observations, Satellite Estimates, and Numerical Model Predictions  

Science Conference Proceedings (OSTI)

An algorithm is developed to construct global gridded fields of monthly precipitation by merging estimates from five sources of information with different characteristics, including gauge-based monthly analyses from the Global Precipitation ...

Pingping Xie; Phillip A. Arkin

1996-04-01T23:59:59.000Z

433

Estimating Cloud Field Albedo Using One-Dimensional Series Of Optical Depth  

Science Conference Proceedings (OSTI)

This study examines the ability to estimate regional cloud albedo using 1D series of cloud optical depth ? similar to those inferred from ground-based microwave radiometers. The investigation has two facets: use of appropriate radiative transfer ...

Howard W. Barker

1996-10-01T23:59:59.000Z

434

Estimating Rainfall Intensities from Weather Radar Data: The Scale-Dependency Problem  

Science Conference Proceedings (OSTI)

Meteorological radar is a remote sensing system that provides rainfall estimations at high spatial and temporal resolutions. The radar-based rainfall intensities (R) are calculated from the observed radar reflectivities (Z). Often, rain gauge ...

Efrat Morin; Witold F. Krajewski; David C. Goodrich; Xiaogang Gao; Soroosh Sorooshian

2003-10-01T23:59:59.000Z

435

Estimation of Surface Solar Global Radiation from NOAA AVHRR Data in High Latitudes  

Science Conference Proceedings (OSTI)

A physical method for estimating the instantaneous global irradiance and daily cumulative insolation based on Advanced Very High Resolution Radiometer data was developed and tested at high latitudes in a boreal subarctic region. The satellite ...

Vesa Laine; Ari Venäläinen; Martti Heikinheimo; Otto Hyvärinen

1999-12-01T23:59:59.000Z

436

An Improved Parameterization for Estimating Effective Atmospheric Emissivity for Use in Calculating Daytime Downwelling Longwave Radiation  

Science Conference Proceedings (OSTI)

An improved parameterization is presented for estimating effective atmospheric emissivity for use in calculating downwelling longwave radiation based on temperature, humidity, pressure, and solar radiation observations. The first improvement is ...

Todd M. Crawford; Claude E. Duchon

1999-04-01T23:59:59.000Z

437

Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks  

Science Conference Proceedings (OSTI)

We propose a statistical method for estimating a genenetwork based on Bayesian networks from microarray geneexpression data together with biological knowledge includingprotein-protein interactions, protein-DNA interactions,binding site information, existing ...

Seiya Imoto; Tomoyuki Higuchi; Takao Goto; Kousuke Tashiro; Satoru Kuhara; Satoru Miyano

2003-08-01T23:59:59.000Z

438

GPS Meteorology: Direct Estimation of the Absolute Value of Precipitable Water  

Science Conference Proceedings (OSTI)

A simple approach to estimating vertically integrated atmospheric water vapor, or precipitable water, from Global Positioning System (GPS) radio signals collected by a regional network of ground-based geodetic GPS receiver is illustrated and ...

Jingping Duan; Michael Bevis; Peng Fang; Yehuda Bock; Steven Chiswell; Steven Businger; Christian Rocken; Frederick Solheim; Terasa van Hove; Randolph Ware; Simon McClusky; Thomas A. Herring; Robert W. King

1996-06-01T23:59:59.000Z

439

A New Approach to Estimate Directional Spreading Parameters of a Cosine-2s Model  

Science Conference Proceedings (OSTI)

For accurate and consistent estimates of the directional spreading parameter and mean wave direction of directional seas based on a cosine-2s directional spreading model, a new approach is proposed, employing a maximum likelihood method (MLM) to ...

Shaosong Zhang; Jun Zhang

2006-02-01T23:59:59.000Z

440

Method for Estimation of Surface Roughness and Similarity Function of Wind Speed Vertical Profile  

Science Conference Proceedings (OSTI)

This study is aimed at identifying and refining a method suitable to estimate the surface roughness length (z0) and the universal similarity function of the wind speed profile (?M) based on ultrasonic anemometer measurements carried out at only ...

Roberto Sozzi; Maurizio Favaron; Teodoro Georgiadis

1998-05-01T23:59:59.000Z

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.


441

Rainfall Intensity, the Weibull Distribution, and Estimation of Daily Surface Runoff  

Science Conference Proceedings (OSTI)

A new method for estimating absorption and runoff at a point on the basis of total daily precipitation and the absorption capacity of the soil is proposed. The method is based on a statistical characterization of the variation of precipitation ...

Daniel S. Wilks

1989-01-01T23:59:59.000Z

442

Combining GA and iterative MVDR for DOA estimation in space-time CDMA systems  

Science Conference Proceedings (OSTI)

This paper deals with direction-of-arrival (DOA) estimation of minimum variance distortionless response (MVDR) approach based on iterative searching technique for space-time code-division multiple access (CDMA) systems. It has been shown that the iterative ...

Jhih-Chung Chang

2012-11-01T23:59:59.000Z

443

Estimation of Wind-Induced Error of Rainfall Gauge Measurements Using a Numerical Simulation  

Science Conference Proceedings (OSTI)

A new method of estimating the wind-induced error of rainfall gauge measurements is presented. The method is based on a three-dimensional numerical simulation of the airflow around a precipitation gauge and subsequent computation of particle ...

Vladislav Nešpor; Boris Sevruk

1999-04-01T23:59:59.000Z

444

Thermography for Estimating Near-Surface Soil Moisture under Developing Crop Canopies  

Science Conference Proceedings (OSTI)

Previous investigations of thermal infrared techniques using remote sensors (thermography) for estimating soil water content have been limited primarily to bare soil. Ground-based and aircraft investigations were conducted to evaluate the ...

J. L. Heilman; D. G. Moore

1980-03-01T23:59:59.000Z

445

Estimation of selenium (Se) intake from Se in serum, whole blood, toenails, or urine  

SciTech Connect

Because Se content of food varies widely, estimates of intake based on Se status are more accurate than those based on food composition tables. 77 free-living subjects from South Dakota and Wyoming, where the range of Se intake was large, provided blood, toenails, and 24-hour urines. Se intake, measured by chemical analysis of 4-8 days of duplicate-plate food composites from each subject, was estimated on the basis of the Se indices. To predict the natural logarithm of Se intake from serum Se the best fit was provided by : {minus}0.465 + 0.568{asterisk}SSe. Addition of lean body mass (LBM (kg)) and energy intake (EI (MJ)) to the model markedly improved the fit. Models based on Se in blood or urine gave slightly better estimates than those based on toenail Se. Consideration of data in addition to indices of Se status resulted in improved estimates of intake.

Longnecker, M.P.; Taylor, P.R.; Levander, O.A.; Flack, V.; Veillon, C.; McAdam, P.A.; Patterson, K.Y.; Holden, J.; Stampfer, M.J.; Morris, J.S.; Willett, W.C. (Univ. of California, Los Angeles (United States) NCI, Rockville, MD (United States) USDA, Beltsville, MD (United States) Harvard Univ., Boston, MA (United States) Univ. of Missouri, Columbia (United States))

1991-03-11T23:59:59.000Z

446

Comments on “Estimating Soil Water Contents from Soil Temperature Measurements by Using an Adaptive Kalman Filter”  

Science Conference Proceedings (OSTI)

A scheme was proposed by Zhang et al. to estimate soil water content from soil temperature measurements by using an adaptive Kalman filter. Their scheme is based on the fact that soil heat capacity and thermal conductivity are a monotonic ...

Kun Yang; Toshio Koike

2005-04-01T23:59:59.000Z

447

Leffler's Method of Estimating Average Temperatures of Appalachian Summits: Evaluation in New York  

Science Conference Proceedings (OSTI)

R. J. Leffler recently presented regression equations to estimate average monthly temperatures of Appalachian summits based on the long-term average temperatures on Mt. Washington, New Hampshire, and temperature lapse rates as a function of ...

Thomas W. Schmidlin

1982-05-01T23:59:59.000Z

448

Robust and efficient photo-consistency estimation for volumetric 3d reconstruction  

Science Conference Proceedings (OSTI)

Estimating photo-consistency is one of the most important ingredients for any 3D stereo reconstruction technique that is based on a volumetric scene representation. This paper presents a new, illumination invariant photo-consistency measure for high ...

Alexander Hornung; Leif Kobbelt

2006-05-01T23:59:59.000Z

449

Vertical Diabatic Heating Structure of the MJO: Intercomparison between Recent Reanalyses and TRMM Estimates  

Science Conference Proceedings (OSTI)

Capitalizing on recently released reanalysis datasets and diabatic heating estimates based on Tropical Rainfall Measuring Mission (TRMM), the authors have conducted a composite analysis of vertical anomalous heating structures associated with the ...

Xianan Jiang; Duane E. Waliser; William S. Olson; Wei-Kuo Tao; Tristan S. L’Ecuyer; King-Fai Li; Yuk L. Yung; Shoichi Shige; Stephen Lang; Yukari N. Takayabu

2011-10-01T23:59:59.000Z

450

Estimating Emissions of Other Greenhouse Gases  

U.S. Energy Information Administration (EIA)

Estimating Emissions of Other Greenhouse Gases Presentation to the Department of Energy Republic of the Philippines September 17, 1997 Arthur Rypinski Energy ...

451

Improved diagnostic model for estimating wind energy  

DOE Green Energy (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

452

Estimate sequence methods: extensions and approximations  

E-Print Network (OSTI)

Aug 11, 2009 ... The approach of estimate sequence offers an interesting rereading of a ... a strategy for reducing the iteration cost by solving only coarsely ...

453

Estimating Mitigation Potential of Agricultural Projects: an...  

Open Energy Info (EERE)

Tool (EX-ACT) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Brazil-Estimating Mitigation Potential of Agricultural Projects: an Application of the...

454

ORISE: Radiation Dose Estimates and Other Compendia  

NLE Websites -- All DOE Office Websites (Extended Search)

article addresses methods that can be used to rapidly estimate internal and external radiation dose magnitudes that can be used to help guide early medical management. Included...

455

Estimating IPv6 & DNSSEC Deployment Status  

Science Conference Proceedings (OSTI)

Estimating IPv6 & DNSSEC External Service Deployment Status Background and Methodology. ... gov.two. Agency Two, (errors & islands). gov.three. ...

2013-11-07T23:59:59.000Z

456

Argonne Software Licensing: Battery Life Estimation Software  

Battery Life Estimation. Rising gasoline and diesel fuel prices have resulted in a resurgence of interest in hybrid electric and plug-in hybrid ...

457

Bayesian methods for estimating ROC curves.  

E-Print Network (OSTI)

?? Receiver operating characteristic (ROC) analysis is a fundamental method for assessing imaging systems. However, clinical trials to estimate ROC curves can be costly as… (more)

Zur, Richard Michael

2011-01-01T23:59:59.000Z

458

Mechanical estimating guidebook for building construction  

SciTech Connect

Rapid and reliable techniques for estimating the cost of materials and labor are offered in the fifth edition of this handbook. It contains work-hour task times and performance data for hundreds of jobs compiled over years to testing and analysis. New sections are devoted to solar heating, energy management, computer estimating, fire control and sprinkler systems, and estimating life-cycle costs. Like its predecessors, the book also covers criteria for estimating, mechanical cooling and heating equipment, piping, ductwork, insulation, electrical wiring, and foundations and supports. Air distribution, tools and special equipment, tanks, pumps, instrumentation and controls, excavating and trenching, heat and air recovery, and antipollution filtration are also discussed.

Gladstone, J.

1987-01-01T23:59:59.000Z

459

Hydrogen Production Cost Estimate Using Biomass Gasification...  

NLE Websites -- All DOE Office Websites (Extended Search)

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov...

460

,"Pennsylvania Dry Natural Gas Reserves Estimated Production...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

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.


461

,"Mississippi Dry Natural Gas Reserves Estimated Production ...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

462

,"Dry Natural Gas Reserves Estimated Production "  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Dry Natural Gas Reserves Estimated Production ",52,"Annual",2011,"6301977" ,"Release Date:","81...

463

Estimating solar irradiance using a geostationary satellite  

E-Print Network (OSTI)

207. Web References WR1. California Energy Commision (CEC)UNIVERSITY OF CALIFORNIA, SAN DIEGO Estimating SolarChair University of California, San Diego iii DEDICATION

Urquhart, Bryan Glenn

2011-01-01T23:59:59.000Z

464

Automated Estimating System (AES): Version 6.1: User`s manual. Revision 6  

SciTech Connect

This document describes Version 6.1 of the Automated Estimating System (AES), a personal computer-based software package. The AES is designed to aid in the creation, updating, and reporting of project cost estimates for the Estimating and Scheduling Engineering Department of Central Engineering Services of Lockheed Martin Energy Systems,Inc. AES provides formatted input screens to guide the user through the estimate creation/update process and provides several standardized reports that allow cost to be sorted and summarized in many different formats and at several levels of aggregation.

Schwarz, R.K. [ed.; Holder, D.A.

1996-03-01T23:59:59.000Z

465

Automated Estimating System (AES) version 6.0 - user`s manual. Revision 5  

SciTech Connect

This document describes Version 6.0 of the Automated Estimating System (AES), a personal computer-based software package. The AES is designed to aid in the creation, updating, and reporting of project cost estimates for the Estimating and Scheduling Engineering Department of Central Engineering Services of Martin Marietta Energy Systems, Inc. AES provides formatted input screens to guide the user through the estimate creation/update process and provides several standardized reports that allow cost to be sorted and summarized in many different formats and at several levels of aggregation.

Holder, D.A.; Schwarz, R.K. [ed.

1994-06-01T23:59:59.000Z

466

Estimating the Cost of Large Superconducting Thin Solenoid Magnets  

E-Print Network (OSTI)

for making a preliminary cost estimate of proposed one of afor making a budgetary cost estimate of relatively lightbut in other cases, the cost estimates are wildly different

Green, M.A.

2011-01-01T23:59:59.000Z

467

GAO Cost Estimating and Assessment Guide | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

GAO 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...

468

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (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.

469

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (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.

470

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (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.

471

Cost Estimating Handbook for Environmental Restoration  

Science Conference Proceedings (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

472

COBRA: A hybrid method for software cost estimation, benchmarking and risk assessment  

E-Print Network (OSTI)

Current cost estimation techniques have a number of drawbacks. For example, developing algorithmic models requires extensive past project data. Also, off-the-shelf models have been found to be difficult to calibrate but inaccurate without calibration. Informal approaches based on experienced estimators depend on estimators ’ availability and are not easily repeatable, as well as not being much more accurate than algorithmic techniques. In this paper we present a method for cost estimation that combines aspects of algorithmic and experiential approaches (referred to as COBRA, COst estimation, Benchmarking, and Risk Assessment). We find through a case study that cost estimates using COBRA show an average ARE of 0.09, and show that the results are easily usable for benchmarking and risk assessment purposes. 1

Lionel C. Bri; Lionel C. Bri; Khaled El Emam; Khaled El Emam; Frank Bomarius; Frank Bomarius

1998-01-01T23:59:59.000Z

473

Slide Rule for Rapid Response Estimation of Radiological Dose from Criticality Accidents  

SciTech Connect

This paper describes a functional slide rule that provides a readily usable ?in-hand? method for estimating nuclear criticality accident information from sliding graphs, thereby permitting (1) the rapid estimation of pertinent criticality accident information without laborious or sophisticated calculations in a nuclear criticality emergency situation, (2) the appraisal of potential fission yields and external personnel radiation exposures for facility safety analyses, and (3) a technical basis for emergency preparedness and training programs at nonreactor nuclear facilities. The slide rule permits the estimation of neutron and gamma dose rates and integrated doses based upon estimated fission yields, distance from the fission source, and time-after criticality accidents for five different critical systems. Another sliding graph permits the estimation of critical solution fission yields based upon fissile material concentration, critical vessel geometry, and solution addition rate. Another graph provides neutron and gamma dose-reduction factors for water, steel, and concrete shields.

Broadhead, B.L.; Childs, R.L.; Hopper, C.M.; Parks, C.V.

1999-09-20T23:59:59.000Z

474

Density estimation for spatial data streams  

Science Conference Proceedings (OSTI)

In this paper we study the problem of estimating several types of spatial queries in a streaming environment. We propose a new approach, which we call Local Kernels, for computing density estimators by using local rather than global statistics on the ...

Cecilia M. Procopiuc; Octavian Procopiuc

2005-08-01T23:59:59.000Z

475

Bivariate density estimation using BV regularisation  

Science Conference Proceedings (OSTI)

The problem of bivariate density estimation is studied with the aim of finding the density function with the smallest number of local extreme values which is adequate with the given data. Adequacy is defined via Kuiper metrics. The concept of the taut-string ... Keywords: Density estimation, Modality, Regularisation

Andreas Obereder; Otmar Scherzer; Arne Kovac

2007-08-01T23:59:59.000Z

476

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408) costs apply to those items that are consumed in production process and are roughly proportional to level in cash flow analysis and in the decision to use the equipment for reclamation? Types of Costs #12

Boisvert, Jeff

477

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining the equipment for reclamation? Types of Costs #12;· Marginal Cost: ­ Change in total cost ­ Any production process involves fixed and variable costs. As production increases/expands, fixed costs are unchanged, so

Boisvert, Jeff

478

Semiparametrically weighted robust estimation of regression models  

Science Conference Proceedings (OSTI)

A class of two-step robust regression estimators that achieve a high relative efficiency for data from light-tailed, heavy-tailed, and contaminated distributions irrespective of the sample size is proposed and studied. In particular, the least weighted ... Keywords: Adaptive estimation, Asymptotic efficiency, Breakdown point, Least weighted squares

Pavel íek

2011-01-01T23:59:59.000Z

479

REPORT NO. 4 ESTIMATES AND EVALUATION OF  

E-Print Network (OSTI)

REPORT NO. 4 ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Transport and Distribution of Fallout. . . . . . . . . . . . . . . 6 Section IV Radionuclides in the Diet

480

Estimating the Change of Web Pages  

Science Conference Proceedings (OSTI)

This paper presents the estimation methods computing the probabilities of how many times web pages are downloaded and modified, respectively, in the future crawls. The methods can make web database administrators avoid unnecessarily requesting undownloadable ... Keywords: web database administration, web page change estimation

Sung Jin Kim; Sang Ho Lee

2007-05-01T23:59:59.000Z

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.


481

Structural Workshop Paper---Estimating Discrete Games  

Science Conference Proceedings (OSTI)

This paper provides a critical review of the methods for estimating static discrete games and their relevance for quantitative marketing. We discuss the various modeling approaches, alternative assumptions, and relevant trade-offs involved in taking ... Keywords: discrete choice, games estimation, structural models

Paul B. Ellickson; Sanjog Misra

2011-11-01T23:59:59.000Z

482

Broadband ML estimation under model order uncertainty  

Science Conference Proceedings (OSTI)

The number of signals hidden in data plays a crucial role in array processing. When this information is not available, conventional approaches apply information theoretic criteria or multiple hypothesis tests to simultaneously estimate model order and ... Keywords: Broadband signals, Direction of arrival, Maximum likelihood estimation, Overparameterized models, Unknown number of signals

Pei-Jung Chung; Mats Viberg; Christoph F. Mecklenbräuker

2010-05-01T23:59:59.000Z

483

An algorithm for underdetermined mixing matrix estimation  

Science Conference Proceedings (OSTI)

This paper considers the problem of mixing matrix estimation in underdetermined blind source separation (UBSS). We propose a simple and effective detection algorithm which detects the time-frequency (TF) points occupied by only a single source for each ... Keywords: Mixing matrix estimation, Robust clustering, Sparse component analysis, Underdetermined blind source separation

Tianbao Dong; Yingke Lei; Jingshu Yang

2013-03-01T23:59:59.000Z

484

Outdoor Visual Position Estimation for Planetary Rovers  

Science Conference Proceedings (OSTI)

This paper describes (1) a novel, effective algorithm for outdoor visual position estimation; (2) the implementation of this algorithm in the Viper system; and (3) the extensive tests that have demonstrated the superior accuracy and speed of ... Keywords: computer vision, mobile robots, position estimation, space robotics

Fabio Cozman; Eric Krotkov; Carlos Guestrin

2000-09-01T23:59:59.000Z

485

Cloud-Base-Height Estimation from Paired Ground-Based Hemispherical Observations  

Science Conference Proceedings (OSTI)

Total-sky imager (TSI) and hemispheric-sky imager (HSI) each have a hemispherical field of view, and many TSIs are now deployed. These instruments have been used routinely to provide a time series of the fractional sky cover only. In this study, ...

Evgueni Kassianov; Charles N. Long; Jason Christy

2005-08-01T23:59:59.000Z

486

A Space-Filling Algorithm to Extrapolate Narrow-Swath Instantaneous TRMM Microwave Rain-Rate Estimates Using Thermal IR Imagery  

Science Conference Proceedings (OSTI)

A space-filling algorithm (SFA) based on 2D spectral estimation techniques was developed to extrapolate the spatial domain of the narrow-swath near-instantaneous rain-rate estimates from Tropical Rainfall Measuring Mission (TRMM) precipitation ...

Ana P. Barros; Kun Tao

2008-11-01T23:59:59.000Z

487

New approaches to estimation of magnetotelluric parameters  

DOE Green Energy (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

488

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.

489

REFAME: Rain Estimation Using Forward-Adjusted Advection of Microwave Estimates  

Science Conference Proceedings (OSTI)

A new multiplatform multisensor satellite rainfall estimation technique is proposed in which sequences of Geostationary Earth Orbit infrared (GEO-IR) images are used to advect microwave (MW)-derived precipitation estimates along cloud motion ...

Ali Behrangi; Bisher Imam; Kuolin Hsu; Soroosh Sorooshian; Timothy J. Bellerby; George J. Huffman

2010-12-01T23:59:59.000Z

490

Gravitational wave parameter estimation with compressed likelihood evaluations  

E-Print Network (OSTI)

One of the main bottlenecks in gravitational wave (GW) astronomy is the high cost of performing parameter estimation and GW searches on the fly. We propose a novel technique based on Reduced Order Quadratures (ROQs), an application and data-specific quadrature rule, to perform fast and accurate likelihood evaluations. These are the dominant cost in Markov chain Monte Carlo (MCMC) algorithms, which are widely employed in parameter estimation studies, and so ROQs offer a new way to accelerate GW parameter estimation. We illustrate our approach using a four dimensional GW burst model embedded in noise. We build an ROQ for this model, and perform four dimensional MCMC searches with both the standard and ROQs quadrature rules, showing that, for this model, the ROQ approach is around 25 times faster than the standard approach with essentially no loss of accuracy. The speed-up from using ROQs is expected to increase for more complex GW signal models and therefore has significant potential to accelerate parameter estimation of GW sources such as compact binary coalescences.

Priscilla Canizares; Scott E. Field; Jonathan R. Gair; Manuel Tiglio

2013-04-01T23:59:59.000Z

491

Estimating Spatial Velocity Statistics with Coherent Doppler Lidar  

Science Conference Proceedings (OSTI)

The spatial statistics of a simulated turbulent velocity field are estimated using radial velocity estimates from simulated coherent Doppler lidar data. The structure functions from the radial velocity estimates are processed to estimate the ...

Rod Frehlich; Larry Cornman

2002-03-01T23:59:59.000Z

492

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

493

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

NLE Websites -- All DOE Office Websites (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.

494

Estimation of turbulence level and scale for wind turbine applications  

DOE Green Energy (OSTI)

A simplified method is presented for estimating onsite turbulence variance within the wind turbine layer for horizontal wind speed. The method is based principally on estimating the probability distribution of wind speed and assigning a variance to each mean wind speed based on surface roughness estimates. The model is not proposed as an alternative to onsite measurement and analysis, but rather as an adjunct to such a program. A revision of the Kaimal neutral u-component spectrum is suggested to apply to the mix of the stabilities occurring during operational winds. Values of integral length scale calculated from data analysis are shown to contradict the length scale model implicit in turbulence power spectra. Also, these calculated values are shown to be extremely sensitive to the length of the time series and the detrending method used. The analysis and modeling are extended to the rotational frame of reference for a horizontal-axis wind turbine by modeling the ratios of harmonic spike variances (1P, 2P, etc.) in the rotational spectrum to the Eulerian turbulence variance. 15 refs., 11 figs., 3 tabs.

Powell, D.C.

1988-11-01T23:59:59.000Z

495

Emissions estimation for lignite-fired power plants in Turkey  

SciTech Connect

The major gaseous emissions (e.g. sulfur dioxide, nitrogen oxides, carbon dioxide, and carbon monoxide), some various organic emissions (e.g. benzene, toluene and xylenes) and some trace metals (e.g. arsenic, cobalt, chromium, manganese and nickel) generated from lignite-fired power plants in Turkey are estimated. The estimations are made separately for each one of the thirteen plants that produced electricity in 2007, because the lignite-fired thermal plants in Turkey are installed near the regions where the lignite is mined, and characteristics and composition of lignite used in each power plant are quite different from a region to another. Emission factors methodology is used for the estimations. The emission factors obtained from well-known literature are then modified depending on local moisture content of lignite. Emission rates and specific emissions (per MWh) of the pollutants from the plants without electrostatic precipitators and flue-gas desulfurization systems are found to be higher than emissions from the plants having electrostatic precipitators and flue -gas desulfurization systems. Finally a projection for the future emissions due to lignite-based power plants is given. Predicted demand for the increasing generation capacity based on the lignite-fired thermal power plant, from 2008 to 2017 is around 30%. 39 refs., 13 figs., 10 tabs.

Nurten Vardar; Zehra Yumurtaci [Yildiz Technical University Mechanical Engineering Faculty, Istanbul (Turkey)

2010-01-15T23:59:59.000Z

496

Class I Disposal Well Plugging and Abandonment Cost Estimate  

E-Print Network (OSTI)

Per your request, Petrotek Engineering Corporation (Petrotek) has prepared a plugging and abandonment cost estimate for the proposed COGEMA DW No. 4 and No. 5 wells. Because the well design and completion for both wells are very similar, one cost is provided that is representative for each of the wells. The procedures included herein are based on COGEMA's permit modification application to Wyoming Department of Environmental Quality (WDEQ) UIC Permit 00-340 which applies to both wells, and WDEQ regulations and guidance. A time and materials cost estimate for plugging either of the wells follows. The cost is based on information provided by COGEMA, WDEQ requirements, our field experience, and recent quotes from applicable vendors. The costs are based on the following assumptions:> A falloff test and Radioactive Tracer log (RAT) may be required. Based on historical WDEQ requirements, (1) a falloff test would be required if more than six months has elapsed since the last falloff test, and (2) a Part II mechanical integrity test (e.g., a RAT log) would be required if more than 2 years had elapsed since the last RAT log.> Materials disposal (e.g., tubing, packer, wellhead and other debris) will be

Christensen Ranch; Disposal Wellfield; Donna Wichers

2007-01-01T23:59:59.000Z

497

Life cycle cost and risk estimation of environmental management options  

SciTech Connect

The evaluation process is demonstrated in this paper through comparative analysis of two alternative scenarios identified for the management of the alpha-contaminated fixed low-level waste currently stored at INEL. These two scenarios, the Base Case and the Delay Case, are realistic and based on actual data, but are not intended to exactly match actual plans currently being developed at INEL. Life cycle cost estimates were developed for both scenarios using the System Cost Model; resulting costs are presented and compared. Life cycle costs are shown as a function of time and also aggregated by pretreatment, treatment, storage, and disposal activities. Although there are some short-term cost savings for the Delay Case, cumulative life cycle costs eventually become much higher than costs for the Base Case over the same period of time, due mainly to the storage and repackaging necessary to accommodate the longer Delay Case schedule. Life cycle risk estimates were prepared using a new risk analysis method adapted to the System Cost Model architecture for automated, systematic cost/risk applications. Relative risk summaries are presented for both scenarios as a function of time and also aggregated by pretreatment, treatment, storage, and disposal activities. Relative risk of the Delay Case is shown to be higher than that of the Base Case. Finally, risk and cost results are combined to show how the collective information can be used to help identify opportunities for risk or cost reduction and highlight areas where risk reduction can be achieved most economically.

Shropshire, D.; Sherick, M.

1996-04-01T23:59:59.000Z

498

State energy data report 1993: Consumption estimates  

SciTech Connect

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

NONE

1995-07-01T23:59:59.000Z

499

State Energy Data Report, 1991: Consumption estimates  

DOE Green Energy (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

Not Available

1993-05-01T23:59:59.000Z

500

State energy data report 1995 - consumption estimates  

Science Conference Proceedings (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 State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

NONE

1997-12-01T23:59:59.000Z