National Library of Energy BETA

Sample records for text sampling errors

  1. The Impact of Soil Sampling Errors on Variable Rate Fertilization

    SciTech Connect (OSTI)

    R. L. Hoskinson; R C. Rope; L G. Blackwood; R D. Lee; R K. Fink

    2004-07-01

    Variable rate fertilization of an agricultural field is done taking into account spatial variability in the soilís characteristics. Most often, spatial variability in the soilís fertility is the primary characteristic used to determine the differences in fertilizers applied from one point to the next. For several years the Idaho National Engineering and Environmental Laboratory (INEEL) has been developing a Decision Support System for Agriculture (DSS4Ag) to determine the economically optimum recipe of various fertilizers to apply at each site in a field, based on existing soil fertility at the site, predicted yield of the crop that would result (and a predicted harvest-time market price), and the current costs and compositions of the fertilizers to be applied. Typically, soil is sampled at selected points within a field, the soil samples are analyzed in a lab, and the lab-measured soil fertility of the point samples is used for spatial interpolation, in some statistical manner, to determine the soil fertility at all other points in the field. Then a decision tool determines the fertilizers to apply at each point. Our research was conducted to measure the impact on the variable rate fertilization recipe caused by variability in the measurement of the soilís fertility at the sampling points. The variability could be laboratory analytical errors or errors from variation in the sample collection method. The results show that for many of the fertility parameters, laboratory measurement error variance exceeds the estimated variability of the fertility measure across grid locations. These errors resulted in DSS4Ag fertilizer recipe recommended application rates that differed by up to 138 pounds of urea per acre, with half the field differing by more than 57 pounds of urea per acre. For potash the difference in application rate was up to 895 pounds per acre and over half the field differed by more than 242 pounds of potash per acre. Urea and potash differences accounted

  2. Analysis of Cloud Variability and Sampling Errors in Surface and Satellite Mesurements

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

    Analysis of Cloud Variability and Sampling Errors in Surface and Satellite Measurements Z. Li, M. C. Cribb, and F.-L. Chang Earth System Science Interdisciplinary Center University of Maryland College Park, Maryland A. P. Trishchenko and Y. Luo Canada Centre for Remote Sensing Ottawa, Ontario, Canada Introduction Radiation measurements have been widely employed for evaluating cloud parameterization schemes and model simulation results. As the most comprehensive program aiming to improve cloud

  3. Errors of Nonobservation

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

    Errors of Nonobservation Finally, several potential sources of nonsampling error and bias result from errors of nonobservation. The 1994 MECS represents, in terms of sampling...

  4. Tuning the narrow-band beam position monitor sampling clock to remove the aliasing errors in APS storage ring orbit measurements.

    SciTech Connect (OSTI)

    Sun, X.; Singh, O. )

    2007-01-01

    The Advanced Photon Source storage ring employs a real-time orbit correction system to reduce orbit motion up to 50 Hz. This system uses up to 142 narrow-band rf beam position monitors (Nbbpms) in a correction algorithm by sampling at a frequency of 1.53 kHz. Several Nbbpms exhibit aliasing errors in orbit measurements, rendering these Nbbpms unusable in real-time orbit feedback. The aliasing errors are caused by beating effects of the internal sampling clocks with various other processing clocks residing within the BPM electronics. A programmable external clock has been employed to move the aliasing errors out of the active frequency band of the real-time feedback system (RTFB) and rms beam motion calculation. This paper discusses the process of tuning and provides test results.

  5. Error abstractions

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

    Error and fault abstractions Mattan Erez UT Austin *Who should care about faults and errors? *Ideally, only system cares about masked faults? - Assuming application bugs are not...

  6. EIA - Sorry! Unexpected Error

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

    Cold Fusion Error Unexpected Error Sorry An error was encountered. This error could be due to scheduled maintenance. Information about the error has been routed to the appropriate...

  7. EIA - Sorry! Unexpected Error

    Gasoline and Diesel Fuel Update (EIA)

    Cold Fusion Error Unexpected Error Sorry An error was encountered. This error could be due to scheduled maintenance. Information about the error has been routed to the appropriate ...

  8. Error Page

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

    script writes out the header html. We are sorry to report that an error has occurred. Internal identifier for doc type not found. Return to RevCom | Return to Web Portal Need help? Email Technical Support. This site managed by the Office of Management / US Department of Energy Directives | Regulations | Technical Standards | Reference Library | DOE Forms | About Us | Privacy & Security Notice This script breaks up the email address to avoid spam

  9. Solar Webinar Text Version

    Office of Energy Efficiency and Renewable Energy (EERE)

    Download the text version of the audio from the DOE Office of Indian Energy webinar on solar renewable energy.

  10. MDF Overview (Text Version)

    Broader source: Energy.gov [DOE]

    This is a text version of the Manufacturing Demonstration Facilities (MDF) overview video, originally presented on March 12, 2012 at the MDF Workshop held in Chicago, Illinois.

  11. Error detection method

    DOE Patents [OSTI]

    Olson, Eric J.

    2013-06-11

    An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).

  12. Trouble Shooting and Error Messages

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

    ... Check the error code of your application. error obtaining user credentials system Resubmit. Contact consultants for repeated problems. nemgnierrorhandler(): a transaction error ...

  13. runtime error message: "readControlMsg: System returned error...

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

    readControlMsg: System returned error Connection timed out on TCP socket fd" runtime error message: "readControlMsg: System returned error Connection timed out on TCP socket fd"...

  14. Trouble Shooting and Error Messages

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

    ... Check the error code of your application. error obtaining user credentials system Resubmit. Contact consultants for repeated problems. NERSC and Cray are working on this issue. ...

  15. Trouble Shooting and Error Messages

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

    not be a problem. Check the error code of your application. error obtaining user credentials system Resubmit. Contact consultants for repeated problems. Last edited: 2015-01-16 ...

  16. Modular error embedding

    DOE Patents [OSTI]

    Sandford, II, Maxwell T.; Handel, Theodore G.; Ettinger, J. Mark

    1999-01-01

    A method of embedding auxiliary information into the digital representation of host data containing noise in the low-order bits. The method applies to digital data representing analog signals, for example digital images. The method reduces the error introduced by other methods that replace the low-order bits with auxiliary information. By a substantially reverse process, the embedded auxiliary data can be retrieved easily by an authorized user through use of a digital key. The modular error embedding method includes a process to permute the order in which the host data values are processed. The method doubles the amount of auxiliary information that can be added to host data values, in comparison with bit-replacement methods for high bit-rate coding. The invention preserves human perception of the meaning and content of the host data, permitting the addition of auxiliary data in the amount of 50% or greater of the original host data.

  17. Text analysis methods, text analysis apparatuses, and articles of manufacture

    DOE Patents [OSTI]

    Whitney, Paul D; Willse, Alan R; Lopresti, Charles A; White, Amanda M

    2014-10-28

    Text analysis methods, text analysis apparatuses, and articles of manufacture are described according to some aspects. In one aspect, a text analysis method includes accessing information indicative of data content of a collection of text comprising a plurality of different topics, using a computing device, analyzing the information indicative of the data content, and using results of the analysis, identifying a presence of a new topic in the collection of text.

  18. Error 404 - Document not found

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

    govErrors ERROR 404 - URL Not Found We are sorry but the URL that you have requested cannot be found or it is linked to a file that no longer exists. Please check the spelling or...

  19. Text analysis devices, articles of manufacture, and text analysis methods

    DOE Patents [OSTI]

    Turner, Alan E; Hetzler, Elizabeth G; Nakamura, Grant C

    2013-05-28

    Text analysis devices, articles of manufacture, and text analysis methods are described according to some aspects. In one aspect, a text analysis device includes processing circuitry configured to analyze initial text to generate a measurement basis usable in analysis of subsequent text, wherein the measurement basis comprises a plurality of measurement features from the initial text, a plurality of dimension anchors from the initial text and a plurality of associations of the measurement features with the dimension anchors, and wherein the processing circuitry is configured to access a viewpoint indicative of a perspective of interest of a user with respect to the analysis of the subsequent text, and wherein the processing circuitry is configured to use the viewpoint to generate the measurement basis.

  20. Portable RSA encryption-decryption subprogram for protecting proprietary text

    SciTech Connect (OSTI)

    Hanson, R.J.

    1981-09-01

    A virtually portable (FORTRAN) version of the RSA (Rivest, Shamir, Adleman) algorithm for encryption and decryption of proprietary text has been written. This system uses three previously developed software packages. These are an extended precision integer arithmetic package, an error processing package, and machine-sensitive input/output subprograms from the Text Exchange System.

  1. Trouble Shooting and Error Messages

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

    Trouble Shooting and Error Messages Trouble Shooting and Error Messages Error Messages Message or Symptom Fault Recommendation job hit wallclock time limit user or system Submit job for longer time or start job from last checkpoint and resubmit. If your job hung and produced no output contact consultants. received node failed or halted event for nid xxxx system resubmit the job error with width parameters to aprun user Make sure #PBS -l mppwidth value matches aprun -n value new values for

  2. Register file soft error recovery

    DOE Patents [OSTI]

    Fleischer, Bruce M.; Fox, Thomas W.; Wait, Charles D.; Muff, Adam J.; Watson, III, Alfred T.

    2013-10-15

    Register file soft error recovery including a system that includes a first register file and a second register file that mirrors the first register file. The system also includes an arithmetic pipeline for receiving data read from the first register file, and error detection circuitry to detect whether the data read from the first register file includes corrupted data. The system further includes error recovery circuitry to insert an error recovery instruction into the arithmetic pipeline in response to detecting the corrupted data. The inserted error recovery instruction replaces the corrupted data in the first register file with a copy of the data from the second register file.

  3. CEMI Industrial Efficiency (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version for the Clean Energy Manufacturing Initiative Industrial Efficiency and Energy Productivity Video.  

  4. Text analysis devices, articles of manufacture, and text analysis methods

    DOE Patents [OSTI]

    Turner, Alan E; Hetzler, Elizabeth G; Nakamura, Grant C

    2015-03-31

    Text analysis devices, articles of manufacture, and text analysis methods are described according to some aspects. In one aspect, a text analysis device includes a display configured to depict visible images, and processing circuitry coupled with the display and wherein the processing circuitry is configured to access a first vector of a text item and which comprises a plurality of components, to access a second vector of the text item and which comprises a plurality of components, to weight the components of the first vector providing a plurality of weighted values, to weight the components of the second vector providing a plurality of weighted values, and to combine the weighted values of the first vector with the weighted values of the second vector to provide a third vector.

  5. Confidence limits and their errors

    SciTech Connect (OSTI)

    Rajendran Raja

    2002-03-22

    Confidence limits are common place in physics analysis. Great care must be taken in their calculation and use especially in cases of limited statistics. We introduce the concept of statistical errors of confidence limits and argue that not only should limits be calculated but also their errors in order to represent the results of the analysis to the fullest. We show that comparison of two different limits from two different experiments becomes easier when their errors are also quoted. Use of errors of confidence limits will lead to abatement of the debate on which method is best suited to calculate confidence limits.

  6. Error studies for SNS Linac. Part 1: Transverse errors

    SciTech Connect (OSTI)

    Crandall, K.R.

    1998-12-31

    The SNS linac consist of a radio-frequency quadrupole (RFQ), a drift-tube linac (DTL), a coupled-cavity drift-tube linac (CCDTL) and a coupled-cavity linac (CCL). The RFQ and DTL are operated at 402.5 MHz; the CCDTL and CCL are operated at 805 MHz. Between the RFQ and DTL is a medium-energy beam-transport system (MEBT). This error study is concerned with the DTL, CCDTL and CCL, and each will be analyzed separately. In fact, the CCL is divided into two sections, and each of these will be analyzed separately. The types of errors considered here are those that affect the transverse characteristics of the beam. The errors that cause the beam center to be displaced from the linac axis are quad displacements and quad tilts. The errors that cause mismatches are quad gradient errors and quad rotations (roll).

  7. text | OpenEI Community

    Open Energy Info (EERE)

    Contributor 17 September, 2013 - 12:39 Are you willing to reply to a text message once a day with information about your comfort level at your indoor location? building...

  8. Error 404 - Document not found

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

    govErrors ERROR 404 - URL Not Found We are sorry but the URL that you have requested cannot be found or it is linked to a file that no longer exists. Please check the spelling or send e-mail to WWW Administrator

  9. Trouble Shooting and Error Messages

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

    Trouble Shooting and Error Messages Trouble Shooting and Error Messages Error Messages Message or Symptom Fault Recommendation job hit wallclock time limit user or system Submit job for longer time or start job from last checkpoint and resubmit. If your job hung and produced no output contact consultants. received node failed or halted event for nid xxxx system One of the compute nodes assigned to the job failed. Resubmit the job PtlNIInit failed : PTL_NOT_REGISTERED user The executable is from

  10. error | netl.doe.gov

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

    error Sorry, there is no www.netl.doe.gov web page that matches your request. It may be possible that you typed the address incorrectly. Connect to National Energy Technology...

  11. Catastrophic photometric redshift errors: Weak-lensing survey requirements

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bernstein, Gary; Huterer, Dragan

    2010-01-11

    We study the sensitivity of weak lensing surveys to the effects of catastrophic redshift errors - cases where the true redshift is misestimated by a significant amount. To compute the biases in cosmological parameters, we adopt an efficient linearized analysis where the redshift errors are directly related to shifts in the weak lensing convergence power spectra. We estimate the number Nspec of unbiased spectroscopic redshifts needed to determine the catastrophic error rate well enough that biases in cosmological parameters are below statistical errors of weak lensing tomography. While the straightforward estimate of Nspec is ~106 we find that using onlymore¬†¬Ľ the photometric redshifts with z ‚ȧ 2.5 leads to a drastic reduction in Nspec to ~ 30,000 while negligibly increasing statistical errors in dark energy parameters. Therefore, the size of spectroscopic survey needed to control catastrophic errors is similar to that previously deemed necessary to constrain the core of the zs ‚Äď zp distribution. We also study the efficacy of the recent proposal to measure redshift errors by cross-correlation between the photo-z and spectroscopic samples. We find that this method requires ~ 10% a priori knowledge of the bias and stochasticity of the outlier population, and is also easily confounded by lensing magnification bias. In conclusion, the cross-correlation method is therefore unlikely to supplant the need for a complete spectroscopic redshift survey of the source population.¬ę¬†less

  12. Wind Webinar Text Version | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Text Version Wind Webinar Text Version Download the text version of the audio from the DOE Office of Indian Energy webinar on wind renewable energy. PDF icon Text Version of the ...

  13. Biomass Webinar Text Version | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Text Version Biomass Webinar Text Version Dowload the text version of the audio from the DOE Office of Indian Energy webinar on biomass. DOE Office of Indian Energy Foundational Course Webinar on Biomass: Text Version (153.94 KB) More Documents & Publications Biomass Webinar Presentation Slides Assessing Energy Resources Webinar Text Version Transcript: Biomass Clean Cities Webinar - Workforce Development

  14. Field errors in hybrid insertion devices

    SciTech Connect (OSTI)

    Schlueter, R.D.

    1995-02-01

    Hybrid magnet theory as applied to the error analyses used in the design of Advanced Light Source (ALS) insertion devices is reviewed. Sources of field errors in hybrid insertion devices are discussed.

  15. Protections: Sampling

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

    Protections: Sampling Protections: Sampling Protection #3: Sampling for known and unexpected contaminants August 1, 2013 Monitoring stormwater in Los Alamos Canyon Monitoring stormwater in Los Alamos Canyon The Environmental Sampling Board, a key piece of the Strategy, ensures that LANL collects relevant and appropriate data to answer questions about the protection of human and environmental health, and to satisfy regulatory requirements. LANL must demonstrate the data are technically justified

  16. Widget:AnchorText | Open Energy Information

    Open Energy Info (EERE)

    you can specify a target, title, and style to the link. Parameters include: page - pagearticle title for href link text - anchor text title - title to display for anchor...

  17. Connected Outdoor Lighting Systems for Municipalities - Text...

    Energy Savers [EERE]

    Outdoor Lighting Systems for Municipalities - Text-Alt Version Connected Outdoor Lighting Systems for Municipalities - Text-Alt Version Welcome, everyone. This is Bruce Kinzey with ...

  18. Clover: Compiler directed lightweight soft error resilience

    SciTech Connect (OSTI)

    Liu, Qingrui; Lee, Dongyoon; Jung, Changhee; Tiwari, Devesh

    2015-05-01

    This paper presents Clover, a compiler directed soft error detection and recovery scheme for lightweight soft error resilience. The compiler carefully generates soft error tolerant code based on idem-potent processing without explicit checkpoint. During program execution, Clover relies on a small number of acoustic wave detectors deployed in the processor to identify soft errors by sensing the wave made by a particle strike. To cope with DUE (detected unrecoverable errors) caused by the sensing latency of error detection, Clover leverages a novel selective instruction duplication technique called tail-DMR (dual modular redundancy). Once a soft error is detected by either the sensor or the tail-DMR, Clover takes care of the error as in the case of exception handling. To recover from the error, Clover simply redirects program control to the beginning of the code region where the error is detected. Lastly, the experiment results demonstrate that the average runtime overhead is only 26%, which is a 75% reduction compared to that of the state-of-the-art soft error resilience technique.

  19. Clover: Compiler directed lightweight soft error resilience

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Liu, Qingrui; Lee, Dongyoon; Jung, Changhee; Tiwari, Devesh

    2015-05-01

    This paper presents Clover, a compiler directed soft error detection and recovery scheme for lightweight soft error resilience. The compiler carefully generates soft error tolerant code based on idem-potent processing without explicit checkpoint. During program execution, Clover relies on a small number of acoustic wave detectors deployed in the processor to identify soft errors by sensing the wave made by a particle strike. To cope with DUE (detected unrecoverable errors) caused by the sensing latency of error detection, Clover leverages a novel selective instruction duplication technique called tail-DMR (dual modular redundancy). Once a soft error is detected by either themore¬†¬Ľ sensor or the tail-DMR, Clover takes care of the error as in the case of exception handling. To recover from the error, Clover simply redirects program control to the beginning of the code region where the error is detected. Lastly, the experiment results demonstrate that the average runtime overhead is only 26%, which is a 75% reduction compared to that of the state-of-the-art soft error resilience technique.¬ę¬†less

  20. Approximate error conjugation gradient minimization methods

    DOE Patents [OSTI]

    Kallman, Jeffrey S

    2013-05-21

    In one embodiment, a method includes selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, calculating an approximate error using the subset of rays, and calculating a minimum in a conjugate gradient direction based on the approximate error. In another embodiment, a system includes a processor for executing logic, logic for selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, logic for calculating an approximate error using the subset of rays, and logic for calculating a minimum in a conjugate gradient direction based on the approximate error. In other embodiments, computer program products, methods, and systems are described capable of using approximate error in constrained conjugate gradient minimization problems.

  1. Impact of Measurement Error on Synchrophasor Applications

    SciTech Connect (OSTI)

    Liu, Yilu; Gracia, Jose R.; Ewing, Paul D.; Zhao, Jiecheng; Tan, Jin; Wu, Ling; Zhan, Lingwei

    2015-07-01

    Phasor measurement units (PMUs), a type of synchrophasor, are powerful diagnostic tools that can help avert catastrophic failures in the power grid. Because of this, PMU measurement errors are particularly worrisome. This report examines the internal and external factors contributing to PMU phase angle and frequency measurement errors and gives a reasonable explanation for them. It also analyzes the impact of those measurement errors on several synchrophasor applications: event location detection, oscillation detection, islanding detection, and dynamic line rating. The primary finding is that dynamic line rating is more likely to be influenced by measurement error. Other findings include the possibility of reporting nonoscillatory activity as an oscillation as the result of error, failing to detect oscillations submerged by error, and the unlikely impact of error on event location and islanding detection.

  2. Protections: Sampling

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

    Protection 3: Sampling for known and unexpected contaminants August 1, 2013 Monitoring stormwater in Los Alamos Canyon Monitoring stormwater in Los Alamos Canyon The Environmental ...

  3. Protections: Sampling

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

    and unexpected contaminants August 1, 2013 Monitoring stormwater in Los Alamos Canyon Monitoring stormwater in Los Alamos Canyon The Environmental Sampling Board, a key piece...

  4. Searching for Text (pbl/help)

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

    for Text Other Navigation Aids PDF File Info Firstgov Searching for Text The Power Services web site features a Search tool (powered by Google) in the upper right corner of...

  5. Alt Text Requirements for Web Images

    Office of Energy Efficiency and Renewable Energy (EERE)

    Per Section 508 requirements, images on Office of Energy Efficiency and Renewable Energy (EERE) websites and applications must have alt text. Alt text describes what an image looks like in words, making it accessible to screen readers.

  6. Text Redelegation Procedures - DOE Directives, Delegations, and...

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

    Text Redelegation Procedures by Website Administrator Delegation Procedures Redelegation Procedures Redelegation Procedures for Functional Area Managers This page contains...

  7. Strategic Energy Planning Webinar Text Version

    Broader source: Energy.gov [DOE]

    Download the text version of the audio from the DOE Office of Indian Energy webinar on strategic energy planning.

  8. Error handling strategies in multiphase inverse modeling

    SciTech Connect (OSTI)

    Finsterle, S.; Zhang, Y.

    2010-12-01

    Parameter estimation by inverse modeling involves the repeated evaluation of a function of residuals. These residuals represent both errors in the model and errors in the data. In practical applications of inverse modeling of multiphase flow and transport, the error structure of the final residuals often significantly deviates from the statistical assumptions that underlie standard maximum likelihood estimation using the least-squares method. Large random or systematic errors are likely to lead to convergence problems, biased parameter estimates, misleading uncertainty measures, or poor predictive capabilities of the calibrated model. The multiphase inverse modeling code iTOUGH2 supports strategies that identify and mitigate the impact of systematic or non-normal error structures. We discuss these approaches and provide an overview of the error handling features implemented in iTOUGH2.

  9. Group representations, error bases and quantum codes

    SciTech Connect (OSTI)

    Knill, E

    1996-01-01

    This report continues the discussion of unitary error bases and quantum codes. Nice error bases are characterized in terms of the existence of certain characters in a group. A general construction for error bases which are non-abelian over the center is given. The method for obtaining codes due to Calderbank et al. is generalized and expressed purely in representation theoretic terms. The significance of the inertia subgroup both for constructing codes and obtaining the set of transversally implementable operations is demonstrated.

  10. Linux Kernel Error Detection and Correction

    Energy Science and Technology Software Center (OSTI)

    2007-04-11

    EDAC-utils consists fo a library and set of utilities for retrieving statistics from the Linux Kernel Error Detection and Correction (EDAC) drivers.

  11. SAMPLING SYSTEM

    DOE Patents [OSTI]

    Hannaford, B.A.; Rosenberg, R.; Segaser, C.L.; Terry, C.L.

    1961-01-17

    An apparatus is given for the batch sampling of radioactive liquids such as slurries from a system by remote control, while providing shielding for protection of operating personnel from the harmful effects of radiation.

  12. Sampling box

    DOE Patents [OSTI]

    Phillips, Terrance D.; Johnson, Craig

    2000-01-01

    An air sampling box that uses a slidable filter tray and a removable filter cartridge to allow for the easy replacement of a filter which catches radioactive particles is disclosed.

  13. runtime error message: "readControlMsg: System returned error Connection

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

    timed out on TCP socket fd" readControlMsg: System returned error Connection timed out on TCP socket fd" runtime error message: "readControlMsg: System returned error Connection timed out on TCP socket fd" June 30, 2015 Symptom User jobs with sinlge or multiple apruns in a batch script may get this run time error: "readControlMsg: System returned error Connection timed out on TCP socket fd". This problem is intermittent, sometimes resubmit works. This error

  14. Connected Buildings Interoperability Vision Webinar (Text Version) |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Connected Buildings Interoperability Vision Webinar (Text Version) Connected Buildings Interoperability Vision Webinar (Text Version) Below is the text version of the webinar Connected Buildings Interoperability Vision, presented in May 2015. Steve Widergren: Presentation cover slide: ... the webinar that we have for you today on Connected Buildings Interoperability Vision. I wanted -- My name is Steve Widergren. I'm with Pacific Northwest National Laboratory. I'm going

  15. Manufacturing Ecosystems and Keystone Technologies (Text Version)

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a text version of the Manufacturing Ecosystems and Keystone Technologies video, originally presented on March 12, 2012 at the MDF Workshop held in Chicago, Illinois.

  16. Welcome and Advanced Manufacturing Partnership (Text Version)

    Broader source: Energy.gov [DOE]

    This is a text version of the Welcome and Advanced Manufacturing Partnership video, originally presented on March 12, 2012 at the MDF Workshop held in Chicago, Illinois.

  17. Fuel Cell Animation- Chemical Process (Text Version)

    Broader source: Energy.gov [DOE]

    This text version of the fuel cell animation demonstrates how a fuel cell uses hydrogen to produce electricity, with only water and heat as byproducts.

  18. DOE and Critical Materials Video (Text Version)

    Broader source: Energy.gov [DOE]

    This is a text version of the "DOE and Critical Materials" video presented at the Critical Materials Workshop, held on April 3, 2012 in Arlington, Virginia.

  19. Hydroelectric Webinar Presentation Slides and Text Version

    Broader source: Energy.gov [DOE]

    Download presentation slides and a text version of the audio from the DOE Office of Indian Energy webinar on hydroelectric renewable energy. 

  20. SAMPLING OSCILLOSCOPE

    DOE Patents [OSTI]

    Sugarman, R.M.

    1960-08-30

    An oscilloscope is designed for displaying transient signal waveforms having random time and amplitude distributions. The oscilloscopc is a sampling device that selects for display a portion of only those waveforms having a particular range of amplitudes. For this purpose a pulse-height analyzer is provided to screen the pulses. A variable voltage-level shifter and a time-scale rampvoltage generator take the pulse height relative to the start of the waveform. The variable voltage shifter produces a voltage level raised one step for each sequential signal waveform to be sampled and this results in an unsmeared record of input signal waveforms. Appropriate delay devices permit each sample waveform to pass its peak amplitude before the circuit selects it for display.

  1. Sampling apparatus

    DOE Patents [OSTI]

    Gordon, Norman R.; King, Lloyd L.; Jackson, Peter O.; Zulich, Alan W.

    1989-01-01

    A sampling apparatus is provided for sampling substances from solid surfaces. The apparatus includes first and second elongated tubular bodies which telescopically and sealingly join relative to one another. An absorbent pad is mounted to the end of a rod which is slidably received through a passageway in the end of one of the joined bodies. The rod is preferably slidably and rotatably received through the passageway, yet provides a selective fluid tight seal relative thereto. A recess is formed in the rod. When the recess and passageway are positioned to be coincident, fluid is permitted to flow through the passageway and around the rod. The pad is preferably laterally orientable relative to the rod and foldably retractable to within one of the bodies. A solvent is provided for wetting of the pad and solubilizing or suspending the material being sampled from a particular surface.

  2. Sampling apparatus

    DOE Patents [OSTI]

    Gordon, N.R.; King, L.L.; Jackson, P.O.; Zulich, A.W.

    1989-07-18

    A sampling apparatus is provided for sampling substances from solid surfaces. The apparatus includes first and second elongated tubular bodies which telescopically and sealingly join relative to one another. An absorbent pad is mounted to the end of a rod which is slidably received through a passageway in the end of one of the joined bodies. The rod is preferably slidably and rotatably received through the passageway, yet provides a selective fluid tight seal relative thereto. A recess is formed in the rod. When the recess and passageway are positioned to be coincident, fluid is permitted to flow through the passageway and around the rod. The pad is preferably laterally orientable relative to the rod and foldably retractable to within one of the bodies. A solvent is provided for wetting of the pad and solubilizing or suspending the material being sampled from a particular surface. 15 figs.

  3. Verification of unfold error estimates in the unfold operator code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1997-01-01

    Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

  4. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  5. Style Guide Full Text | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Style Guide Full Text Style Guide Full Text Below is the full text of the Style Guide for web pages for the Office of Energy Efficiency and Renewable Energy. The guide features formatting, spelling, punctuation, capitalization, grammar, and language guidelines. Guidelines are listed alphabetically for easy reference. You may also use the topic index to locate information covered in the guide. A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z a

  6. Texts to Hillary-- from Secretary Chu

    Broader source: Energy.gov [DOE]

    We showed the "Texts from Hillary" Tumblr to Secretary Chu and he thought is was as hilarious as everyone else on the Internet, so we got to work on a contribution on his behalf.

  7. Vehicle Technologies Office: Lightweighting Video Text Version

    Broader source: Energy.gov [DOE]

    This is a text version of the Motorweek video segment Materials Technology / Vehicle Lightweighting, which aired on April 21, 2014. The full video is on the Lightweight Materials for Cars and...

  8. MDF Form and Function (Text Version)

    Broader source: Energy.gov [DOE]

    This is a text version of the Manufacturing Demonstration Facilities (MDF) Form and Function video, originally presented on March 12, 2012 at the MDF Workshop held in Chicago, Illinois.

  9. Error recovery to enable error-free message transfer between nodes of a computer network

    DOE Patents [OSTI]

    Blumrich, Matthias A.; Coteus, Paul W.; Chen, Dong; Gara, Alan; Giampapa, Mark E.; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd; Steinmacher-Burow, Burkhard; Vranas, Pavlos M.

    2016-01-26

    An error-recovery method to enable error-free message transfer between nodes of a computer network. A first node of the network sends a packet to a second node of the network over a link between the nodes, and the first node keeps a copy of the packet on a sending end of the link until the first node receives acknowledgment from the second node that the packet was received without error. The second node tests the packet to determine if the packet is error free. If the packet is not error free, the second node sets a flag to mark the packet as corrupt. The second node returns acknowledgement to the first node specifying whether the packet was received with or without error. When the packet is received with error, the link is returned to a known state and the packet is sent again to the second node.

  10. Quantum error-correcting codes and devices

    DOE Patents [OSTI]

    Gottesman, Daniel

    2000-10-03

    A method of forming quantum error-correcting codes by first forming a stabilizer for a Hilbert space. A quantum information processing device can be formed to implement such quantum codes.

  11. Evaluating operating system vulnerability to memory errors.

    SciTech Connect (OSTI)

    Ferreira, Kurt Brian; Bridges, Patrick G.; Pedretti, Kevin Thomas Tauke; Mueller, Frank; Fiala, David; Brightwell, Ronald Brian

    2012-05-01

    Reliability is of great concern to the scalability of extreme-scale systems. Of particular concern are soft errors in main memory, which are a leading cause of failures on current systems and are predicted to be the leading cause on future systems. While great effort has gone into designing algorithms and applications that can continue to make progress in the presence of these errors without restarting, the most critical software running on a node, the operating system (OS), is currently left relatively unprotected. OS resiliency is of particular importance because, though this software typically represents a small footprint of a compute node's physical memory, recent studies show more memory errors in this region of memory than the remainder of the system. In this paper, we investigate the soft error vulnerability of two operating systems used in current and future high-performance computing systems: Kitten, the lightweight kernel developed at Sandia National Laboratories, and CLE, a high-performance Linux-based operating system developed by Cray. For each of these platforms, we outline major structures and subsystems that are vulnerable to soft errors and describe methods that could be used to reconstruct damaged state. Our results show the Kitten lightweight operating system may be an easier target to harden against memory errors due to its smaller memory footprint, largely deterministic state, and simpler system structure.

  12. A Bayesian Measurment Error Model for Misaligned Radiographic Data

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lennox, Kristin P.; Glascoe, Lee G.

    2013-09-06

    An understanding of the inherent variability in micro-computed tomography (micro-CT) data is essential to tasks such as statistical process control and the validation of radiographic simulation tools. The data present unique challenges to variability analysis due to the relatively low resolution of radiographs, and also due to minor variations from run to run which can result in misalignment or magnification changes between repeated measurements of a sample. Positioning changes artificially inflate the variability of the data in ways that mask true physical phenomena. We present a novel Bayesian nonparametric regression model that incorporates both additive and multiplicative measurement error inmore¬†¬Ľ addition to heteroscedasticity to address this problem. We also use this model to assess the effects of sample thickness and sample position on measurement variability for an aluminum specimen. Supplementary materials for this article are available online.¬ę¬†less

  13. A Bayesian Measurment Error Model for Misaligned Radiographic Data

    SciTech Connect (OSTI)

    Lennox, Kristin P.; Glascoe, Lee G.

    2013-09-06

    An understanding of the inherent variability in micro-computed tomography (micro-CT) data is essential to tasks such as statistical process control and the validation of radiographic simulation tools. The data present unique challenges to variability analysis due to the relatively low resolution of radiographs, and also due to minor variations from run to run which can result in misalignment or magnification changes between repeated measurements of a sample. Positioning changes artificially inflate the variability of the data in ways that mask true physical phenomena. We present a novel Bayesian nonparametric regression model that incorporates both additive and multiplicative measurement error in addition to heteroscedasticity to address this problem. We also use this model to assess the effects of sample thickness and sample position on measurement variability for an aluminum specimen. Supplementary materials for this article are available online.

  14. Text Delegation Procedures - DOE Directives, Delegations, and

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

    Requirements Text Delegation Procedures Delegation Procedures Re-Delegation Procedures by Website Administrator Procedures for Line Managers' Delegations of Authority when proposing new delegations, redelegating existing delegation, proposing an amendment, rescinding a delegation, and when a delegation is not needed. Delegation Procedures Redelegation Procedures Procedures for Delegations of Authority Please use the following procedures when Proposing New Delegations; Redelegating Existing

  15. Computation of term dominance in text documents

    DOE Patents [OSTI]

    Bauer, Travis L.; Benz, Zachary O.; Verzi, Stephen J.

    2012-04-24

    An improved entropy-based term dominance metric useful for characterizing a corpus of text documents, and is useful for comparing the term dominance metrics of a first corpus of documents to a second corpus having a different number of documents.

  16. Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates

    SciTech Connect (OSTI)

    Jakeman, J.D. Wildey, T.

    2015-01-01

    In this paper we present an algorithm for adaptive sparse grid approximations of quantities of interest computed from discretized partial differential equations. We use adjoint-based a posteriori error estimates of the physical discretization error and the interpolation error in the sparse grid to enhance the sparse grid approximation and to drive adaptivity of the sparse grid. Utilizing these error estimates provides significantly more accurate functional values for random samples of the sparse grid approximation. We also demonstrate that alternative refinement strategies based upon a posteriori error estimates can lead to further increases in accuracy in the approximation over traditional hierarchical surplus based strategies. Throughout this paper we also provide and test a framework for balancing the physical discretization error with the stochastic interpolation error of the enhanced sparse grid approximation.

  17. Defining And Characterizing Sample Representativeness For DWPF Melter Feed Samples

    SciTech Connect (OSTI)

    Shine, E. P.; Poirier, M. R.

    2013-10-29

    Representative sampling is important throughout the Defense Waste Processing Facility (DWPF) process, and the demonstrated success of the DWPF process to achieve glass product quality over the past two decades is a direct result of the quality of information obtained from the process. The objective of this report was to present sampling methods that the Savannah River Site (SRS) used to qualify waste being dispositioned at the DWPF. The goal was to emphasize the methodology, not a list of outcomes from those studies. This methodology includes proven methods for taking representative samples, the use of controlled analytical methods, and data interpretation and reporting that considers the uncertainty of all error sources. Numerous sampling studies were conducted during the development of the DWPF process and still continue to be performed in order to evaluate options for process improvement. Study designs were based on use of statistical tools applicable to the determination of uncertainties associated with the data needs. Successful designs are apt to be repeated, so this report chose only to include prototypic case studies that typify the characteristics of frequently used designs. Case studies have been presented for studying in-tank homogeneity, evaluating the suitability of sampler systems, determining factors that affect mixing and sampling, comparing the final waste glass product chemical composition and durability to that of the glass pour stream sample and other samples from process vessels, and assessing the uniformity of the chemical composition in the waste glass product. Many of these studies efficiently addressed more than one of these areas of concern associated with demonstrating sample representativeness and provide examples of statistical tools in use for DWPF. The time when many of these designs were implemented was in an age when the sampling ideas of Pierre Gy were not as widespread as they are today. Nonetheless, the engineers and

  18. Extraction of information from unstructured text

    SciTech Connect (OSTI)

    Irwin, N.H.; DeLand, S.M.; Crowder, S.V.

    1995-11-01

    Extracting information from unstructured text has become an emphasis in recent years due to the large amount of text now electronically available. This status report describes the findings and work done by the end of the first year of a two-year LDRD. Requirements of the approach included that it model the information in a domain independent way. This means that it would differ from current systems by not relying on previously built domain knowledge and that it would do more than keyword identification. Three areas that are discussed and expected to contribute to a solution include (1) identifying key entities through document level profiling and preprocessing, (2) identifying relationships between entities through sentence level syntax, and (3) combining the first two with semantic knowledge about the terms.

  19. Neutron multiplication error in TRU waste measurements

    SciTech Connect (OSTI)

    Veilleux, John [Los Alamos National Laboratory; Stanfield, Sean B [CCP; Wachter, Joe [CCP; Ceo, Bob [CCP

    2009-01-01

    Total Measurement Uncertainty (TMU) in neutron assays of transuranic waste (TRU) are comprised of several components including counting statistics, matrix and source distribution, calibration inaccuracy, background effects, and neutron multiplication error. While a minor component for low plutonium masses, neutron multiplication error is often the major contributor to the TMU for items containing more than 140 g of weapons grade plutonium. Neutron multiplication arises when neutrons from spontaneous fission and other nuclear events induce fissions in other fissile isotopes in the waste, thereby multiplying the overall coincidence neutron response in passive neutron measurements. Since passive neutron counters cannot differentiate between spontaneous and induced fission neutrons, multiplication can lead to positive bias in the measurements. Although neutron multiplication can only result in a positive bias, it has, for the purpose of mathematical simplicity, generally been treated as an error that can lead to either a positive or negative result in the TMU. While the factors that contribute to neutron multiplication include the total mass of fissile nuclides, the presence of moderating material in the matrix, the concentration and geometry of the fissile sources, and other factors; measurement uncertainty is generally determined as a function of the fissile mass in most TMU software calculations because this is the only quantity determined by the passive neutron measurement. Neutron multiplication error has a particularly pernicious consequence for TRU waste analysis because the measured Fissile Gram Equivalent (FGE) plus twice the TMU error must be less than 200 for TRU waste packaged in 55-gal drums and less than 325 for boxed waste. For this reason, large errors due to neutron multiplication can lead to increased rejections of TRU waste containers. This report will attempt to better define the error term due to neutron multiplication and arrive at values that are

  20. Superdense coding interleaved with forward error correction

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Humble, Travis S.; Sadlier, Ronald J.

    2016-05-12

    Superdense coding promises increased classical capacity and communication security but this advantage may be undermined by noise in the quantum channel. We present a numerical study of how forward error correction (FEC) applied to the encoded classical message can be used to mitigate against quantum channel noise. By studying the bit error rate under different FEC codes, we identify the unique role that burst errors play in superdense coding, and we show how these can be mitigated against by interleaving the FEC codewords prior to transmission. As a result, we conclude that classical FEC with interleaving is a useful methodmore¬†¬Ľ to improve the performance in near-term demonstrations of superdense coding.¬ę¬†less

  1. Laser Phase Errors in Seeded FELs

    SciTech Connect (OSTI)

    Ratner, D.; Fry, A.; Stupakov, G.; White, W.; /SLAC

    2012-03-28

    Harmonic seeding of free electron lasers has attracted significant attention from the promise of transform-limited pulses in the soft X-ray region. Harmonic multiplication schemes extend seeding to shorter wavelengths, but also amplify the spectral phase errors of the initial seed laser, and may degrade the pulse quality. In this paper we consider the effect of seed laser phase errors in high gain harmonic generation and echo-enabled harmonic generation. We use simulations to confirm analytical results for the case of linearly chirped seed lasers, and extend the results for arbitrary seed laser envelope and phase.

  2. Intel C++ compiler error: stl_iterator_base_types.h

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

    C++ compiler error: stliteratorbasetypes.h Intel C++ compiler error: stliteratorbasetypes.h December 7, 2015 by Scott French Because the system-supplied version of GCC is...

  3. Error estimates for fission neutron outputs (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Error estimates for fission neutron outputs Citation Details In-Document Search Title: Error estimates for fission neutron outputs You are accessing a document from the...

  4. Internal compiler error for function pointer with identically...

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

    Internal compiler error for function pointer with identically named arguments Internal compiler error for function pointer with identically named arguments June 9, 2015 by Scott...

  5. V-235: Cisco Mobility Services Engine Configuration Error Lets...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    5: Cisco Mobility Services Engine Configuration Error Lets Remote Users Login Anonymously V-235: Cisco Mobility Services Engine Configuration Error Lets Remote Users Login ...

  6. Error Estimation for Fault Tolerance in Numerical Integration...

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

    Error Estimation for Fault Tolerance in Numerical Integration Solvers Event Sponsor: ... In numerical integration solvers, approximation error can be estimated at a low cost. We ...

  7. A posteriori error analysis of parameterized linear systems using...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: A posteriori error analysis of parameterized linear systems using spectral methods. Citation Details In-Document Search Title: A posteriori error analysis of ...

  8. Table 1b. Relative Standard Errors for Effective, Occupied, and...

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

    b.Relative Standard Errors Table 1b. Relative Standard Errors for Effective Occupied, and Vacant Square Footage, 1992 Building Characteristics All Buildings (thousand) Total...

  9. Accounting for Model Error in the Calibration of Physical Models...

    Office of Scientific and Technical Information (OSTI)

    Accounting for Model Error in the Calibration of Physical Models. Citation Details In-Document Search Title: Accounting for Model Error in the Calibration of Physical Models. ...

  10. Table 2b. Relative Standard Errors for Electricity Consumption...

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

    2b. Relative Standard Errors for Electricity Table 2b. Relative Standard Errors for Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and...

  11. Error Analysis in Nuclear Density Functional Theory (Journal...

    Office of Scientific and Technical Information (OSTI)

    Error Analysis in Nuclear Density Functional Theory Citation Details In-Document Search Title: Error Analysis in Nuclear Density Functional Theory Authors: Schunck, N ; McDonnell,...

  12. Error Analysis in Nuclear Density Functional Theory (Journal...

    Office of Scientific and Technical Information (OSTI)

    Error Analysis in Nuclear Density Functional Theory Citation Details In-Document Search Title: Error Analysis in Nuclear Density Functional Theory You are accessing a document...

  13. Raman Thermometry: Comparing Methods to Minimize Error. (Conference...

    Office of Scientific and Technical Information (OSTI)

    Raman Thermometry: Comparing Methods to Minimize Error. Citation Details In-Document Search Title: Raman Thermometry: Comparing Methods to Minimize Error. Abstract not provided....

  14. Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jakeman, J. D.; Wildey, T.

    2015-01-01

    In this paper we present an algorithm for adaptive sparse grid approximations of quantities of interest computed from discretized partial differential equations. We use adjoint-based a posteriori error estimates of the interpolation error in the sparse grid to enhance the sparse grid approximation and to drive adaptivity. We show that utilizing these error estimates provides significantly more accurate functional values for random samples of the sparse grid approximation. We also demonstrate that alternative refinement strategies based upon a posteriori error estimates can lead to further increases in accuracy in the approximation over traditional hierarchical surplus based strategies. Throughout this papermore¬†¬Ľ we also provide and test a framework for balancing the physical discretization error with the stochastic interpolation error of the enhanced sparse grid approximation.¬ę¬†less

  15. Analysis of Solar Two Heliostat Tracking Error Sources

    SciTech Connect (OSTI)

    Jones, S.A.; Stone, K.W.

    1999-01-28

    This paper explores the geometrical errors that reduce heliostat tracking accuracy at Solar Two. The basic heliostat control architecture is described. Then, the three dominant error sources are described and their effect on heliostat tracking is visually illustrated. The strategy currently used to minimize, but not truly correct, these error sources is also shown. Finally, a novel approach to minimizing error is presented.

  16. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  17. WIPP Weatherization: Common Errors and Innovative Solutions Presentation

    Broader source: Energy.gov [DOE]

    This presentation contains information on WIPP Weatherization: Common Errors and Innovative Solutions.

  18. Errors in response calculations for beams

    SciTech Connect (OSTI)

    Wada, H.; Wurburton, G.B.

    1985-05-01

    When the finite element method is used to idealize a structure, its dynamic response can be determined from the governing matrix equation by the normal mode method or by one of the many approximate direct integration methods. In either method the approximate data of the finite element idealization are used, but further assumptions are introduced by the direct integration scheme. It is the purpose of this paper to study these errors for a simple structure. The transient flexural vibrations of a uniform cantilever beam, which is subjected to a transverse force at the free end, are determined by the Laplace transform method. Comparable responses are obtained for a finite element idealization of the beam, using the normal mode and Newmark average acceleration methods; the errors associated with the approximate methods are studied. If accuracy has priority and the quantity of data is small, the normal mode method is recommended; however, if the quantity of data is large, the Newmark method is useful.

  19. Detecting Soft Errors in Stencil based Computations

    SciTech Connect (OSTI)

    Sharma, V.; Gopalkrishnan, G.; Bronevetsky, G.

    2015-05-06

    Given the growing emphasis on system resilience, it is important to develop software-level error detectors that help trap hardware-level faults with reasonable accuracy while minimizing false alarms as well as the performance overhead introduced. We present a technique that approaches this idea by taking stencil computations as our target, and synthesizing detectors based on machine learning. In particular, we employ linear regression to generate computationally inexpensive models which form the basis for error detection. Our technique has been incorporated into a new open-source library called SORREL. In addition to reporting encouraging experimental results, we demonstrate techniques that help reduce the size of training data. We also discuss the efficacy of various detectors synthesized, as well as our future plans.

  20. Redundancy and Error Resilience in Boolean Networks

    SciTech Connect (OSTI)

    Peixoto, Tiago P.

    2010-01-29

    We consider the effect of noise in sparse Boolean networks with redundant functions. We show that they always exhibit a nonzero error level, and the dynamics undergoes a phase transition from nonergodicity to ergodicity, as a function of noise, after which the system is no longer capable of preserving a memory of its initial state. We obtain upper bounds on the critical value of noise for networks of different sparsity.

  1. Systematic errors in long baseline oscillation experiments

    SciTech Connect (OSTI)

    Harris, Deborah A.; /Fermilab

    2006-02-01

    This article gives a brief overview of long baseline neutrino experiments and their goals, and then describes the different kinds of systematic errors that are encountered in these experiments. Particular attention is paid to the uncertainties that come about because of imperfect knowledge of neutrino cross sections and more generally how neutrinos interact in nuclei. Near detectors are planned for most of these experiments, and the extent to which certain uncertainties can be reduced by the presence of near detectors is also discussed.

  2. Improving Memory Error Handling Using Linux

    SciTech Connect (OSTI)

    Carlton, Michael Andrew; Blanchard, Sean P.; Debardeleben, Nathan A.

    2014-07-25

    As supercomputers continue to get faster and more powerful in the future, they will also have more nodes. If nothing is done, then the amount of memory in supercomputer clusters will soon grow large enough that memory failures will be unmanageable to deal with by manually replacing memory DIMMs. "Improving Memory Error Handling Using Linux" is a process oriented method to solve this problem by using the Linux kernel to disable (offline) faulty memory pages containing bad addresses, preventing them from being used again by a process. The process of offlining memory pages simplifies error handling and results in reducing both hardware and manpower costs required to run Los Alamos National Laboratory (LANL) clusters. This process will be necessary for the future of supercomputing to allow the development of exascale computers. It will not be feasible without memory error handling to manually replace the number of DIMMs that will fail daily on a machine consisting of 32-128 petabytes of memory. Testing reveals the process of offlining memory pages works and is relatively simple to use. As more and more testing is conducted, the entire process will be automated within the high-performance computing (HPC) monitoring software, Zenoss, at LANL.

  3. Common Errors and Innovative Solutions Transcript | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Common Errors and Innovative Solutions Transcript Common Errors and Innovative Solutions Transcript An example of case studies, mainly by showing photos of errors and good examples, then discussing the purpose of the home energy professional guidelines and certification. There may be more examples of what not to do only because these were good learning opportunities. common_errors_innovative_solutions.doc (41.5 KB) More Documents & Publications WIPP Weatherization: Common Errors and

  4. Verification of unfold error estimates in the UFO code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1996-07-01

    Spectral unfolding is an inverse mathematical operation which attempts to obtain spectral source information from a set of tabulated response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the UFO (UnFold Operator) code. In addition to an unfolded spectrum, UFO also estimates the unfold uncertainty (error) induced by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5% (standard deviation). 100 random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95% confidence level). A possible 10% bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetemined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-Pinch and ion-beam driven hohlraums.

  5. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Salmon, Mississippi, Site, Water Sampling Location Map .........5 Water Sampling Field Activities Verification ...

  6. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........1 Water Sampling Locations at the Rulison, .........3 Water Sampling Field Activities Verification ...

  7. SU-C-BRD-03: Analysis of Accelerator Generated Text Logs for Preemptive Maintenance

    SciTech Connect (OSTI)

    Able, CM; Baydush, AH; Nguyen, C; Munley, MT; Gersh, J; Ndlovu, A; Rebo, I; Booth, J; Perez, M; Sintay, B

    2014-06-15

    Purpose: To develop a model to analyze medical accelerator generated parameter and performance data that will provide an early warning of performance degradation and impending component failure. Methods: A robust 6 MV VMAT quality assurance treatment delivery was used to test the constancy of accelerator performance. The generated text log files were decoded and analyzed using statistical process control (SPC) methodology. The text file data is a single snapshot of energy specific and overall systems parameters. A total of 36 system parameters were monitored which include RF generation, electron gun control, energy control, beam uniformity control, DC voltage generation, and cooling systems. The parameters were analyzed using Individual and Moving Range (I/MR) charts. The chart limits were calculated using a hybrid technique that included the use of the standard 3? limits and the parameter/system specification. Synthetic errors/changes were introduced to determine the initial effectiveness of I/MR charts in detecting relevant changes in operating parameters. The magnitude of the synthetic errors/changes was based on: the value of 1 standard deviation from the mean operating parameter of 483 TB systems, a small fraction (? 5%) of the operating range, or a fraction of the minor fault deviation. Results: There were 34 parameters in which synthetic errors were introduced. There were 2 parameters (radial position steering coil, and positive 24V DC) in which the errors did not exceed the limit of the I/MR chart. The I chart limit was exceeded for all of the remaining parameters (94.2%). The MR chart limit was exceeded in 29 of the 32 parameters (85.3%) in which the I chart limit was exceeded. Conclusion: Statistical process control I/MR evaluation of text log file parameters may be effective in providing an early warning of performance degradation or component failure for digital medical accelerator systems. Research is Supported by Varian Medical Systems, Inc.

  8. Error Reduction for Weigh-In-Motion

    SciTech Connect (OSTI)

    Hively, Lee M; Abercrombie, Robert K; Scudiere, Matthew B; Sheldon, Frederick T

    2009-01-01

    Federal and State agencies need certifiable vehicle weights for various applications, such as highway inspections, border security, check points, and port entries. ORNL weigh-in-motion (WIM) technology was previously unable to provide certifiable weights, due to natural oscillations, such as vehicle bouncing and rocking. Recent ORNL work demonstrated a novel filter to remove these oscillations. This work shows further filtering improvements to enable certifiable weight measurements (error < 0.1%) for a higher traffic volume with less effort (elimination of redundant weighing).

  9. Error Reduction in Weigh-In-Motion

    Energy Science and Technology Software Center (OSTI)

    2007-09-21

    Federal and State agencies need certifiable vehicle weights for various applications, such as highway inspections, border security, check points, and port entries. ORNL weigh-in-motion (WIM) technology was previously unable to provide certifiable weights, due to natural oscillations, such as vehicle bounding and rocking. Recent ORNL work demonstrated a novel filter to remove these oscillations. This work shows further filtering improvements to enable certifiable weight measurements (error < 0.1%) for a higher traffic volume with lessmore¬†¬Ľ effort (elimination of redundant weighing)¬ę¬†less

  10. DOE Challenge Home Comprehensive Building Science Webinar (Text...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Comprehensive Building Science Webinar (Text Version) DOE Challenge Home Comprehensive Building Science Webinar (Text Version) Below is the text version of the webinar, DOE Zero...

  11. Home Energy Score Pilot Analysis Webinar (Text Version) | Department...

    Energy Savers [EERE]

    Home Energy Score Pilot Analysis Webinar (Text Version) Home Energy Score Pilot Analysis Webinar (Text Version) Below is a text version of the webinar titled "Home Energy Score: ...

  12. Home Energy Score Program Update Webinar (Text Version) | Department...

    Energy Savers [EERE]

    Webinar (Text Version) Home Energy Score Program Update Webinar (Text Version) Below is a text version of the webinar titled "Home Energy Score: Program Update for Interested ...

  13. Resolved: "error while loading shared libraries: libalpslli.so...

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

    "error while loading shared libraries: libalpslli.so.0" with serial codes on login nodes Resolved: "error while loading shared libraries: libalpslli.so.0" with serial codes on...

  14. MPI errors from cray-mpich/7.3.0

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

    MPI errors from cray-mpich7.3.0 MPI errors from cray-mpich7.3.0 January 6, 2016 by Ankit Bhagatwala A change in the MPICH2 library that now strictly enforces non-overlapping...

  15. text_sunshot_rtc.docx | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    text_sunshot_rtc.docx text_sunshot_rtc.docx text_sunshot_rtc.docx text_sunshot_rtc.docx (12.94 KB) More Documents & Publications SunShot Summit: Regional Test Centers text_sunshot_csp.docx text_sunshot_pdil.docx

  16. Pressure Change Measurement Leak Testing Errors

    SciTech Connect (OSTI)

    Pryor, Jeff M; Walker, William C

    2014-01-01

    A pressure change test is a common leak testing method used in construction and Non-Destructive Examination (NDE). The test is known as being a fast, simple, and easy to apply evaluation method. While this method may be fairly quick to conduct and require simple instrumentation, the engineering behind this type of test is more complex than is apparent on the surface. This paper intends to discuss some of the more common errors made during the application of a pressure change test and give the test engineer insight into how to correctly compensate for these factors. The principals discussed here apply to ideal gases such as air or other monoatomic or diatomic gasses; however these same principals can be applied to polyatomic gasses or liquid flow rate with altered formula specific to those types of tests using the same methodology.

  17. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater and Surface Water Sampling at the Slick Rock, Colorado, Processing Sites .........7 Water Sampling Field Activities Verification ...

  18. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Green River, Utah, Disposal Site August 2014 LMSGRN.........7 Water Sampling Field Activities Verification ...

  19. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and May 2014 Groundwater and Surface Water Sampling at the Shiprock, New Mexico, Disposal .........9 Water Sampling Field Activities Verification ...

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Rio Blanco, Colorado, Site October 2014 LMSRBLS00514 .........5 Water Sampling Field Activities Verification ...

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Natural Gas and Produced Water Sampling at the Rulison, Colorado, Site November 2014 LMS.........3 Water Sampling Field Activities Verification ...

  2. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Groundwater and Surface Water Sampling at the Rulison, Colorado, Site October 2015 LMS.........5 Water Sampling Field Activities Verification ...

  3. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Monticello, Utah, Processing Site July 2015 LMSMNT.........7 Water Sampling Field Activities Verification ...

  4. September 2004 Water Sampling

    Office of Legacy Management (LM)

    2015 Groundwater and Surface Water Sampling at the Shiprock, New Mexico, Disposal Site .........9 Water Sampling Field Activities Verification ...

  5. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Rio Blanco, Colorado, Site October 2015 LMSRBLS00515 .........5 Water Sampling Field Activities Verification ...

  6. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Produced Water Sampling at the Rulison, Colorado, Site May 2015 LMSRULS00115 Available .........3 Water Sampling Field Activities Verification ...

  7. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Natural Gas and Produced Water Sampling at the Gasbuggy, New Mexico, Site December 2013 .........5 Water Sampling Field Activities Verification ...

  8. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Produced Water Sampling at the Rulison, Colorado, Site January 2016 LMSRULS00915 .........3 Water Sampling Field Activities Verification ...

  9. September 2004 Water Sampling

    Office of Legacy Management (LM)

    3 Groundwater and Surface Water Sampling at the Monument Valley, Arizona, Processing Site .........7 Water Sampling Field Activities Verification ...

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    July 2015 Groundwater and Surface Water Sampling at the Gunnison, Colorado, Processing .........5 Water Sampling Field Activities Verification ...

  11. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Monticello, Utah, Processing Site July 2014 LMSMNT.........7 Water Sampling Field Activities Verification ...

  12. September 2004 Water Sampling

    Office of Legacy Management (LM)

    3 Water Sampling at the Monticello, Utah, Processing Site January 2014 LMSMNTS01013 This .........7 Water Sampling Field Activities Verification ...

  13. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Naturita, Colorado Processing Site October 2013 LMSNAP.........5 Water Sampling Field Activities Verification ...

  14. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater and Surface Water Sampling at the Gunnison, Colorado, Processing Site .........5 Water Sampling Field Activities Verification ...

  15. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Tuba City, Arizona, Disposal Site November 2013 LMSTUB.........9 Water Sampling Field Activities Verification ...

  16. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Groundwater and Surface Water Sampling at the Monticello, Utah, Processing Site January .........7 Water Sampling Field Activities Verification ...

  17. Locked modes and magnetic field errors in MST

    SciTech Connect (OSTI)

    Almagri, A.F.; Assadi, S.; Prager, S.C.; Sarff, J.S.; Kerst, D.W.

    1992-06-01

    In the MST reversed field pinch magnetic oscillations become stationary (locked) in the lab frame as a result of a process involving interactions between the modes, sawteeth, and field errors. Several helical modes become phase locked to each other to form a rotating localized disturbance, the disturbance locks to an impulsive field error generated at a sawtooth crash, the error fields grow monotonically after locking (perhaps due to an unstable interaction between the modes and field error), and over the tens of milliseconds of growth confinement degrades and the discharge eventually terminates. Field error control has been partially successful in eliminating locking.

  18. sunshot_summit_chu_text.docx | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    sunshot_summit_chu_text.docx sunshot_summit_chu_text.docx sunshot_summit_chu_text.docx sunshot_summit_chu_text.docx (26.97 KB) More Documents & Publications SunShot Summit: Steven Chu Plenary Session Home Performance with ENERGY STAR Webinar (text version) SunShot Summit: Bill Ritter Plenary Session

  19. Analysis of Errors in a Special Perturbations Satellite Orbit Propagator

    SciTech Connect (OSTI)

    Beckerman, M.; Jones, J.P.

    1999-02-01

    We performed an analysis of error densities for the Special Perturbations orbit propagator using data for 29 satellites in orbits of interest to Space Shuttle and International Space Station collision avoidance. We find that the along-track errors predominate. These errors increase monotonically over each 36-hour prediction interval. The predicted positions in the along-track direction progressively either leap ahead of or lag behind the actual positions. Unlike the along-track errors the radial and cross-track errors oscillate about their nearly zero mean values. As the number of observations per fit interval decline the along-track prediction errors, and amplitudes of the radial and cross-track errors, increase.

  20. Printing a Car: A Team Effort in Innovation (Text Version) |...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Printing a Car: A Team Effort in Innovation (Text Version) Printing a Car: A Team Effort in Innovation (Text Version) Below is the text version of the video Printing a Car: A Team ...

  1. text_sunshot_pdil.docx | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    pdil.docx text_sunshot_pdil.docx text_sunshot_pdil.docx text_sunshot_pdil.docx (13.13 KB) More Documents & Publications SunShot Summit: Process Development and Integration Laboratory

  2. text_sunshot_softcosts.docx | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    softcosts.docx text_sunshot_softcosts.docx text_sunshot_softcosts.docx text_sunshot_softcosts.docx (13.17 KB) More Documents & Publications SunShot Summit: Soft Costs

  3. Error-eliminating rapid ultrasonic firing

    DOE Patents [OSTI]

    Borenstein, Johann; Koren, Yoram

    1993-08-24

    A system for producing reliable navigation data for a mobile vehicle, such as a robot, combines multiple range samples to increase the "confidence" of the algorithm in the existence of an obstacle. At higher vehicle speed, it is crucial to sample each sensor quickly and repeatedly to gather multiple samples in time to avoid a collision. Erroneous data is rejected by delaying the issuance of an ultrasonic energy pulse by a predetermined wait-period, which may be different during alternate ultrasonic firing cycles. Consecutive readings are compared, and the corresponding data is rejected if the readings differ by more than a predetermined amount. The rejection rate for the data is monitored and the operating speed of the navigation system is reduced if the data rejection rate is increased. This is useful to distinguish and eliminate noise from the data which truly represents the existence of an article in the field of operation of the vehicle.

  4. Error-eliminating rapid ultrasonic firing

    DOE Patents [OSTI]

    Borenstein, J.; Koren, Y.

    1993-08-24

    A system for producing reliable navigation data for a mobile vehicle, such as a robot, combines multiple range samples to increase the confidence'' of the algorithm in the existence of an obstacle. At higher vehicle speed, it is crucial to sample each sensor quickly and repeatedly to gather multiple samples in time to avoid a collision. Erroneous data is rejected by delaying the issuance of an ultrasonic energy pulse by a predetermined wait-period, which may be different during alternate ultrasonic firing cycles. Consecutive readings are compared, and the corresponding data is rejected if the readings differ by more than a predetermined amount. The rejection rate for the data is monitored and the operating speed of the navigation system is reduced if the data rejection rate is increased. This is useful to distinguish and eliminate noise from the data which truly represents the existence of an article in the field of operation of the vehicle.

  5. Text-Alternative Version: Evaluating LED Street Lighting Solutions...

    Energy Savers [EERE]

    Evaluating LED Street Lighting Solutions Text-Alternative Version: Evaluating LED Street Lighting Solutions Below is the text-alternative version of the Evaluating LED Street ...

  6. Text-Alternative Version: Municipal Solid-State Street Lighting...

    Energy Savers [EERE]

    Text-Alternative Version: Municipal Solid-State Street Lighting Consortium Kickoff Below is the text-alternative version of the Municipal Solid-State Street Lighting Consortium ...

  7. Text-Alternative Version: Hitting the Target: ENERGY STAR¬ģ SSL...

    Energy Savers [EERE]

    Hitting the Target: ENERGY STAR SSL Outdoor Area Lighting Text-Alternative Version: Hitting the Target: ENERGY STAR SSL Outdoor Area Lighting Below is the text-alternative ...

  8. Text-Alternative Version: Pedestrian-Friendly Nighttime Lighting...

    Energy Savers [EERE]

    Pedestrian-Friendly Nighttime Lighting Webinar Text-Alternative Version: Pedestrian-Friendly Nighttime Lighting Webinar Below is the text-alternative version of the ...

  9. Electricity Grid Basics Webinar Presentation Slides and Text...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Electricity Grid Basics Webinar Presentation Slides and Text Version Download presentation slides and a text version of the audio from the DOE Office of Indian Energy webinar on ...

  10. Video, Audio, and Animation Text Versions for Web Accessibility...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Videos, Animations, & Audio Video, Audio, and Animation Text Versions for Web Accessibility Video, Audio, and Animation Text Versions for Web Accessibility For accessibility, ...

  11. A technique for human error analysis (ATHEANA)

    SciTech Connect (OSTI)

    Cooper, S.E.; Ramey-Smith, A.M.; Wreathall, J.; Parry, G.W.

    1996-05-01

    Probabilistic risk assessment (PRA) has become an important tool in the nuclear power industry, both for the Nuclear Regulatory Commission (NRC) and the operating utilities. Human reliability analysis (HRA) is a critical element of PRA; however, limitations in the analysis of human actions in PRAs have long been recognized as a constraint when using PRA. A multidisciplinary HRA framework has been developed with the objective of providing a structured approach for analyzing operating experience and understanding nuclear plant safety, human error, and the underlying factors that affect them. The concepts of the framework have matured into a rudimentary working HRA method. A trial application of the method has demonstrated that it is possible to identify potentially significant human failure events from actual operating experience which are not generally included in current PRAs, as well as to identify associated performance shaping factors and plant conditions that have an observable impact on the frequency of core damage. A general process was developed, albeit in preliminary form, that addresses the iterative steps of defining human failure events and estimating their probabilities using search schemes. Additionally, a knowledge- base was developed which describes the links between performance shaping factors and resulting unsafe actions.

  12. LCLS Sample Preparation Laboratory | Sample Preparation Laboratories

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

    LCLS Sample Preparation Laboratory Kayla Zimmerman | (650) 926-6281 Lisa Hammon, LCLS Lab Coordinator Welcome to the LCLS Sample Preparation Laboratory. This small general use wet lab is located in Rm 109 of the Far Experimental Hall near the MEC, CXI, and XCS hutches. It conveniently serves all LCLS hutches and is available for final stage sample preparation. Due to space limitations, certain types of activities may be restricted and all access must be scheduled in advance. User lab bench

  13. Text-Alternative Version: LED Essentials- Technology, Applications, Advantages, Disadvantages

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the LED Essentials - Technology, Applications, Advantages, Disadvantages webcast.

  14. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... Inductively Coupled Plasma (ICP) Interference Check Sample (ICS) Analysis ICP interference check samples ICSA and ICSAB were analyzed at the required frequency to verify the ...

  15. Visual Sample Plan Flyer

    Office of Energy Efficiency and Renewable Energy (EERE)

    This flyer better explains that VSP is a free, easy-to-use software tool that supports development of optimal sampling plans based on statistical sampling theory.

  16. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Groundwater and Surface Water Sampling at the Tuba City, Arizona Disposal Site June 2015 .........7 Water Sampling Field Activities Verification ...

  17. Polaractivation for classical zero-error capacity of qudit channels

    SciTech Connect (OSTI)

    Gyongyosi, Laszlo; Imre, Sandor

    2014-12-04

    We introduce a new phenomenon for zero-error transmission of classical information over quantum channels that initially were not able for zero-error classical communication. The effect is called polaractivation, and the result is similar to the superactivation effect. We use the Choi-Jamiolkowski isomorphism and the Schmidt-theorem to prove the polaractivation of classical zero-error capacity and define the polaractivator channel coding scheme.

  18. Internal compiler error for function pointer with identically named

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

    arguments Internal compiler error for function pointer with identically named arguments Internal compiler error for function pointer with identically named arguments June 9, 2015 by Scott French, NERSC USG Status: Bug 21435 reported to PGI For pgcc versions after 12.x (up through 12.9 is fine, but 13.x and 14.x are not), you may observe an internal compiler error associated with function pointer prototypes when named arguments are used. Specifically, if a function pointer type is defined

  19. WIPP Weatherization: Common Errors and Innovative Solutions Presentati...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    More Documents & Publications Common Errors and Innovative Solutions Transcript Building ... America Best Practices Series: Volume 12. Energy Renovations-Insulation: A Guide for ...

  20. Output-Based Error Estimation and Adaptation for Uncertainty...

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

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  1. Platform-Independent Method for Detecting Errors in Metagenomic...

    Office of Scientific and Technical Information (OSTI)

    Title: Platform-Independent Method for Detecting Errors in Metagenomic Sequencing Data: DRISEE Authors: Keegan, K. P. ; Trimble, W. L. ; Wilkening, J. ; Wilke, A. ; Harrison, T. ; ...

  2. Detecting and correcting hard errors in a memory array

    DOE Patents [OSTI]

    Kalamatianos, John; John, Johnsy Kanjirapallil; Gelinas, Robert; Sridharan, Vilas K.; Nevius, Phillip E.

    2015-11-19

    Hard errors in the memory array can be detected and corrected in real-time using reusable entries in an error status buffer. Data may be rewritten to a portion of a memory array and a register in response to a first error in data read from the portion of the memory array. The rewritten data may then be written from the register to an entry of an error status buffer in response to the rewritten data read from the register differing from the rewritten data read from the portion of the memory array.

  3. Info-Gap Analysis of Truncation Errors in Numerical Simulations...

    Office of Scientific and Technical Information (OSTI)

    Title: Info-Gap Analysis of Truncation Errors in Numerical Simulations. Authors: Kamm, James R. ; Witkowski, Walter R. ; Rider, William J. ; Trucano, Timothy Guy ; Ben-Haim, Yakov. ...

  4. Info-Gap Analysis of Numerical Truncation Errors. (Conference...

    Office of Scientific and Technical Information (OSTI)

    Title: Info-Gap Analysis of Numerical Truncation Errors. Authors: Kamm, James R. ; Witkowski, Walter R. ; Rider, William J. ; Trucano, Timothy Guy ; Ben-Haim, Yakov. Publication ...

  5. Table 6b. Relative Standard Errors for Total Electricity Consumption...

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

    b. Relative Standard Errors for Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total...

  6. Accounting for Model Error in the Calibration of Physical Models

    Office of Scientific and Technical Information (OSTI)

    ... model error term in locations where key modeling assumptions and approximations are made ... to represent the truth o In this context, the data has no noise o Discrepancy ...

  7. Handling Model Error in the Calibration of Physical Models

    Office of Scientific and Technical Information (OSTI)

    ... model error term in locations where key modeling assumptions and approximations are made ... to represent the truth o In this context, the data has no noise o Discrepancy ...

  8. Confirmation of standard error analysis techniques applied to...

    Office of Scientific and Technical Information (OSTI)

    reported parameter errors are not reliable in many EXAFS studies in the literature. ... Country of Publication: United States Language: English Subject: 75; ABSORPTION; ACCURACY; ...

  9. U-058: Apache Struts Conversion Error OGNL Expression Injection...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    in Apache Struts. A remote user can execute arbitrary commands on the target system. PLATFORM: Apache Struts 2.x ABSTRACT: Apache Struts Conversion Error OGNL Expression...

  10. Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics

    SciTech Connect (OSTI)

    Lundquist, J. K.; Churchfield, M. J.; Lee, S.; Clifton, A.

    2015-02-23

    Wind-profiling lidars are now regularly used in boundary-layer meteorology and in applications such as wind energy and air quality. Lidar wind profilers exploit the Doppler shift of laser light backscattered from particulates carried by the wind to measure a line-of-sight (LOS) velocity. The Doppler beam swinging (DBS) technique, used by many commercial systems, considers measurements of this LOS velocity in multiple radial directions in order to estimate horizontal and vertical winds. The method relies on the assumption of homogeneous flow across the region sampled by the beams. Using such a system in inhomogeneous flow, such as wind turbine wakes or complex terrain, will result in errors.

    To quantify the errors expected from such violation of the assumption of horizontal homogeneity, we simulate inhomogeneous flow in the atmospheric boundary layer, notably stably stratified flow past a wind turbine, with a mean wind speed of 6.5 m s-1 at the turbine hub-height of 80 m. This slightly stable case results in 15¬į of wind direction change across the turbine rotor disk. The resulting flow field is sampled in the same fashion that a lidar samples the atmosphere with the DBS approach, including the lidar range weighting function, enabling quantification of the error in the DBS observations. The observations from the instruments located upwind have small errors, which are ameliorated with time averaging. However, the downwind observations, particularly within the first two rotor diameters downwind from the wind turbine, suffer from errors due to the heterogeneity of the wind turbine wake. Errors in the stream-wise component of the flow approach 30% of the hub-height inflow wind speed close to the rotor disk. Errors in the cross-stream and vertical velocity components are also significant: cross-stream component errors are on the order of 15% of the hub-height inflow wind speed (1.0 m s‚ąí1) and errors in the vertical velocity measurement

  11. Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lundquist, J. K.; Churchfield, M. J.; Lee, S.; Clifton, A.

    2015-02-23

    Wind-profiling lidars are now regularly used in boundary-layer meteorology and in applications such as wind energy and air quality. Lidar wind profilers exploit the Doppler shift of laser light backscattered from particulates carried by the wind to measure a line-of-sight (LOS) velocity. The Doppler beam swinging (DBS) technique, used by many commercial systems, considers measurements of this LOS velocity in multiple radial directions in order to estimate horizontal and vertical winds. The method relies on the assumption of homogeneous flow across the region sampled by the beams. Using such a system in inhomogeneous flow, such as wind turbine wakes ormore¬†¬Ľ complex terrain, will result in errors. To quantify the errors expected from such violation of the assumption of horizontal homogeneity, we simulate inhomogeneous flow in the atmospheric boundary layer, notably stably stratified flow past a wind turbine, with a mean wind speed of 6.5 m s-1 at the turbine hub-height of 80 m. This slightly stable case results in 15¬į of wind direction change across the turbine rotor disk. The resulting flow field is sampled in the same fashion that a lidar samples the atmosphere with the DBS approach, including the lidar range weighting function, enabling quantification of the error in the DBS observations. The observations from the instruments located upwind have small errors, which are ameliorated with time averaging. However, the downwind observations, particularly within the first two rotor diameters downwind from the wind turbine, suffer from errors due to the heterogeneity of the wind turbine wake. Errors in the stream-wise component of the flow approach 30% of the hub-height inflow wind speed close to the rotor disk. Errors in the cross-stream and vertical velocity components are also significant: cross-stream component errors are on the order of 15% of the hub-height inflow wind speed (1.0 m s‚ąí1) and errors in the vertical velocity measurement exceed the actual

  12. Scheme for precise correction of orbit variation caused by dipole error field of insertion device

    SciTech Connect (OSTI)

    Nakatani, T.; Agui, A.; Aoyagi, H.; Matsushita, T.; Takao, M.; Takeuchi, M.; Yoshigoe, A.; Tanaka, H.

    2005-05-15

    We developed a scheme for precisely correcting the orbit variation caused by a dipole error field of an insertion device (ID) in a storage ring and investigated its performance. The key point for achieving the precise correction is to extract the variation of the beam orbit caused by the change of the ID error field from the observed variation. We periodically change parameters such as the gap and phase of the specified ID with a mirror-symmetric pattern over the measurement period to modulate the variation. The orbit variation is measured using conventional wide-frequency-band detectors and then the induced variation is extracted precisely through averaging and filtering procedures. Furthermore, the mirror-symmetric pattern enables us to independently extract the orbit variations caused by a static error field and by a dynamic one, e.g., an error field induced by the dynamical change of the ID gap or phase parameter. We built a time synchronization measurement system with a sampling rate of 100 Hz and applied the scheme to the correction of the orbit variation caused by the error field of an APPLE-2-type undulator installed in the SPring-8 storage ring. The result shows that the developed scheme markedly improves the correction performance and suppresses the orbit variation caused by the ID error field down to the order of submicron. This scheme is applicable not only to the correction of the orbit variation caused by a special ID, the gap or phase of which is periodically changed during an experiment, but also to the correction of the orbit variation caused by a conventional ID which is used with a fixed gap and phase.

  13. Two-stage sampling for acceptance testing

    SciTech Connect (OSTI)

    Atwood, C.L.; Bryan, M.F.

    1992-09-01

    Sometimes a regulatory requirement or a quality-assurance procedure sets an allowed maximum on a confidence limit for a mean. If the sample mean of the measurements is below the allowed maximum, but the confidence limit is above it, a very widespread practice is to increase the sample size and recalculate the confidence bound. The confidence level of this two-stage procedure is rarely found correctly, but instead is typically taken to be the nominal confidence level, found as if the final sample size had been specified in advance. In typical settings, the correct nominal [alpha] should be between the desired P(Type I error) and half that value. This note gives tables for the correct a to use, some plots of power curves, and an example of correct two-stage sampling.

  14. Two-stage sampling for acceptance testing

    SciTech Connect (OSTI)

    Atwood, C.L.; Bryan, M.F.

    1992-09-01

    Sometimes a regulatory requirement or a quality-assurance procedure sets an allowed maximum on a confidence limit for a mean. If the sample mean of the measurements is below the allowed maximum, but the confidence limit is above it, a very widespread practice is to increase the sample size and recalculate the confidence bound. The confidence level of this two-stage procedure is rarely found correctly, but instead is typically taken to be the nominal confidence level, found as if the final sample size had been specified in advance. In typical settings, the correct nominal {alpha} should be between the desired P(Type I error) and half that value. This note gives tables for the correct a to use, some plots of power curves, and an example of correct two-stage sampling.

  15. Fluid sampling tool

    DOE Patents [OSTI]

    Garcia, Anthony R.; Johnston, Roger G.; Martinez, Ronald K.

    2000-01-01

    A fluid-sampling tool for obtaining a fluid sample from a container. When used in combination with a rotatable drill, the tool bores a hole into a container wall, withdraws a fluid sample from the container, and seals the borehole. The tool collects fluid sample without exposing the operator or the environment to the fluid or to wall shavings from the container.

  16. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........5 Water Sampling Field Activities Verification ... Groundwater Quality Data Surface Water Quality Data Equipment Blank Data ...

  17. The Sample Preparation Laboratories | Sample Preparation Laboratories

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

    Cynthia Patty 1 Sam Webb 2 John Bargar 3 Arizona 4 Chemicals 5 Team Work 6 Bottles 7 Glass 8 Plan Ahead! See the tabs above for Laboratory Access and forms you'll need to complete. Equipment and Chemicals tabs detail resources already available on site. Avoid delays! Hazardous materials use may require a written Standard Operating Procedure (SOP) before you work. Check the Chemicals tab for more information. The Sample Preparation Laboratories The Sample Preparation Laboratories provide wet lab

  18. DOE Challenge Home Better Business for Builders Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is a text version of the webinar titled "DOE Challenge Home: Better Business for Builders," originally presented in May 2012. In addition to this text version of the audio, you can access the...

  19. Video, Audio, and Animation Text Versions for Web Accessibility

    Broader source: Energy.gov [DOE]

    For accessibility, Section 508 requires text versions of video, audio, and animations.  Follow the Office of Energy Efficiency and Renewable Energy's (EERE's) requirements for developing a text...

  20. EECLP Webinar #1: Overview and Cost Effectiveness-- Text Version

    Office of Energy Efficiency and Renewable Energy (EERE)

    Below is the text version of the webinar, EECLP Webinar 1: Overview and Cost Effectiveness, presented in December 2014.

  1. Home Performance with ENERGY STAR Webinar (text version) | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Webinar (text version) Home Performance with ENERGY STAR Webinar (text version) This Better Buildings webinar took place on August 5, 2010. Webinar transcript (150.29 KB) More Documents & Publications May 21, 2011 - Getting Useful Real Time Feedback About Your Program Webinar (text version) February 13, 2013 Webinar: Preliminary Process and Market Evaluation - Better Buildings Neighborhood Program Webcast April 27, 2011 - How to Work with the Media Webinar (text version)

  2. Geothermal Webinar Presentation Slides and Text Version | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Geothermal Webinar Presentation Slides and Text Version Geothermal Webinar Presentation Slides and Text Version Download presentation slides and a text version of the audio from the DOE Office of Indian Energy webinar on geothermal renewable energy. DOE-IE_Foundational_Geothermal_PresentationSlides.pdf (5.69 MB) DOE-IE_Foundational_Geothermal_TextVersion.pdf (144.65 KB) More Documents & Publications Overview of Geothermal Energy Development Webcast Geothermal Energy: A Geothermal

  3. EECLP Webinar #6: Solar Program Overview-- Text Version

    Broader source: Energy.gov [DOE]

    Below is the text version of the EECLP Webinar 6: Solar Program Overview, presented in January 2015.

  4. National Residential Efficiency Measures Database Unveiled (text version) |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy National Residential Efficiency Measures Database Unveiled (text version) National Residential Efficiency Measures Database Unveiled (text version) Below is the text version of the Webinar titled "National Residential Efficiency Measures Database Unveiled," originally presented on January 18, 2011. In addition to this text version of the audio, you can view the presentation slides and a recording of the Webinar (WMV 47 MB). Operator: Welcome to today's webinar.

  5. Text-Alternative Version: Smithsonian GATEWAY Demonstration Video

    Broader source: Energy.gov [DOE]

    Following is a text version of a video about the GATEWAY demonstration project at the Smithsonian American Art Museum.

  6. Assessing Energy Resources Webinar Text Version | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Text Version Assessing Energy Resources Webinar Text Version Download the text version of the audio from the DOE Office of Indian Energy webinar on assessing energy resources. DOE Office of Indian Energy Foundational Course on Renewable Energy Technologies: Assessing Energy Resources Text Version (162.06 KB) More Documents & Publications TAP Webcast Transcript July-29, 2009 webinar_innovation_permitting_inspections.doc Community Energy Strategic Planning Resources

  7. BENEFIT Funding Opportunity 2016 Webinar #1 (Text Version)

    Office of Energy Efficiency and Renewable Energy (EERE)

    Below is the text version of the BENEFIT Funding Opportunity 2016 Webinar #1, presented in December 2015. Watch the presentation.

  8. EECBG Strategies and Considerations Approaching Lenders Webcast (Text Version)

    Broader source: Energy.gov [DOE]

    Below is a text version of the December 3, 2009 What Drives Consumer Borrowing for Energy Efficiency?

  9. Structuring Credit Enhancements for Clean Energy Finance Programs (Text Version)

    Broader source: Energy.gov [DOE]

    Below is a text version of the January 15, 2010 Structuring Loan Loss Reserve Funds for Clean Energy Finance Programs.

  10. Strengthening the Workforce in Better Buildings Neighborhoods (Text Version)

    Broader source: Energy.gov [DOE]

    Below is a text version of the Better Buildings Neighborhood Program "Strengthening the Workforce in Better Buildings Neighborhoods" video.

  11. DOE Challenge Home Comprehensive Building Science Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar, DOE Zero Energy Ready Home - Comprehensive Building Science, presented in March 2014.

  12. Form:SampleForm | Open Energy Information

    Open Energy Info (EERE)

    SampleForm Jump to: navigation, search Input the name of a Test Page below. If the resource already exists, you will be able to edit its information. AddEdit a Test Page The text...

  13. Error localization in RHIC by fitting difference orbits

    SciTech Connect (OSTI)

    Liu C.; Minty, M.; Ptitsyn, V.

    2012-05-20

    The presence of realistic errors in an accelerator or in the model used to describe the accelerator are such that a measurement of the beam trajectory may deviate from prediction. Comparison of measurements to model can be used to detect such errors. To do so the initial conditions (phase space parameters at any point) must be determined which can be achieved by fitting the difference orbit compared to model prediction using only a few beam position measurements. Using these initial conditions, the fitted orbit can be propagated along the beam line based on the optics model. Measurement and model will agree up to the point of an error. The error source can be better localized by additionally fitting the difference orbit using downstream BPMs and back-propagating the solution. If one dominating error source exist in the machine, the fitted orbit will deviate from the difference orbit at the same point.

  14. Integrated fiducial sample mount and software for correlated microscopy

    SciTech Connect (OSTI)

    Timothy R McJunkin; Jill R. Scott; Tammy L. Trowbridge; Karen E. Wright

    2014-02-01

    A novel design sample mount with integrated fiducials and software for assisting operators in easily and efficiently locating points of interest established in previous analytical sessions is described. The sample holder and software were evaluated with experiments to demonstrate the utility and ease of finding the same points of interest in two different microscopy instruments. Also, numerical analysis of expected errors in determining the same position with errors unbiased by a human operator was performed. Based on the results, issues related to acquiring reproducibility and best practices for using the sample mount and software were identified. Overall, the sample mount methodology allows data to be efficiently and easily collected on different instruments for the same sample location.

  15. Rain sampling device

    DOE Patents [OSTI]

    Nelson, D.A.; Tomich, S.D.; Glover, D.W.; Allen, E.V.; Hales, J.M.; Dana, M.T.

    1991-05-14

    The present invention constitutes a rain sampling device adapted for independent operation at locations remote from the user which allows rainfall to be sampled in accordance with any schedule desired by the user. The rain sampling device includes a mechanism for directing wet precipitation into a chamber, a chamber for temporarily holding the precipitation during the process of collection, a valve mechanism for controllably releasing samples of the precipitation from the chamber, a means for distributing the samples released from the holding chamber into vessels adapted for permanently retaining these samples, and an electrical mechanism for regulating the operation of the device. 11 figures.

  16. Rain sampling device

    DOE Patents [OSTI]

    Nelson, Danny A.; Tomich, Stanley D.; Glover, Donald W.; Allen, Errol V.; Hales, Jeremy M.; Dana, Marshall T.

    1991-01-01

    The present invention constitutes a rain sampling device adapted for independent operation at locations remote from the user which allows rainfall to be sampled in accordance with any schedule desired by the user. The rain sampling device includes a mechanism for directing wet precipitation into a chamber, a chamber for temporarily holding the precipitation during the process of collection, a valve mechanism for controllably releasing samples of said precipitation from said chamber, a means for distributing the samples released from the holding chamber into vessels adapted for permanently retaining these samples, and an electrical mechanism for regulating the operation of the device.

  17. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... 100, 17B, 1A, 72, and 81 were classified as Category II. The sample results were qualified with a "Q" flag, indicating the data are qualitative because of the sampling technique. ...

  18. Water and Sediment Sampling

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

    MDC Blank 7222014 Below MDC Below MDC Water Sampling Results Location Sample Date WIPP ... Tut Tank 3132014 Below MDC Below MDC Fresh Water Tank 3122014 Below MDC Below MDC Hill ...

  19. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... the applicable MDL. Inductively Coupled Plasma Interference Check Sample Analysis ... and background correction factors for all inductively coupled plasma instruments. ...

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........7 Water Sampling Field Activities Verification ... Groundwater Quality Data Static Water Level Data Time-Concentration Graphs ...

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........9 Water Sampling Field Activities Verification ... Data Durango Processing Site Surface Water Quality Data Equipment Blank Data Static ...

  2. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........3 Water Sampling Field Activities Verification ... Groundwater Quality Data Surface Water Quality Data Natural Gas Analysis Data ...

  3. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........5 Water Sampling Field Activities Verification ... Groundwater Quality Data Static Water Level Data Hydrographs Time-Concentration ...

  4. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........5 Water Sampling Field Activities Verification ... Groundwater Quality Data Static Water Level Data Hydrograph Time-Concentration ...

  5. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........5 Water Sampling Field Activities Verification ... Groundwater Quality Data Surface Water Quality Data Time-Concentration Graph ...

  6. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........5 Water Sampling Field Activities Verification ... Quality Data Equipment Blank Data Static Water Level Data Time-Concentration Graphs ...

  7. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........5 Water Sampling Field Activities Verification ... Groundwater Quality Data Static Water Level Data Time-Concentration Graphs ...

  8. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........9 Water Sampling Field Activities Verification ... Groundwater Quality Data Surface Water Quality Data Static Water Level Data ...

  9. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........3 Water Sampling Field Activities Verification ... Groundwater Quality Data Surface Water Quality Data Time-Concentration Graphs ...

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........7 Water Sampling Field Activities Verification ... Groundwater Quality Data Surface Water Quality Data Equipment Blank Data Static ...

  11. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........5 Water Sampling Field Activities Verification ... Groundwater Quality Data Surface Water Quality Data Equipment Blank Data Static ...

  12. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Water Sampling at the Ambrosia Lake, New Mexico, Disposal Site February 2015 LMS/AMB/S01114 This page intentionally left blank U.S. Department of Energy DVP-November 2014, Ambrosia Lake, New Mexico February 2015 RIN 14116607 Page i Contents Sampling Event Summary ...............................................................................................................1 Ambrosia Lake, NM, Disposal Site Planned Sampling Map...........................................................3 Data

  13. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Sampling at the Ambrosia Lake, New Mexico, Disposal Site March 2016 LMS/AMB/S01215 This page intentionally left blank U.S. Department of Energy DVP-December 2015, Ambrosia Lake, New Mexico March 2016 RIN 15117494 Page i Contents Sampling Event Summary ...............................................................................................................1 Ambrosia Lake, NM, Disposal Site Planned Sampling Map...........................................................3 Data Assessment

  14. September 2004 Water Sampling

    Office of Legacy Management (LM)

    October 2013 Groundwater Sampling at the Bluewater, New Mexico, Disposal Site December 2013 LMS/BLU/S00813 This page intentionally left blank U.S. Department of Energy DVP-August and October 2013, Bluewater, New Mexico December 2013 RIN 13085537 and 13095651 Page i Contents Sampling Event Summary ...............................................................................................................1 Private Wells Sampled August 2013 and October 2013, Bluewater, NM, Disposal Site

  15. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Monument Valley, Arizona, Processing Site February 2015 LMS/MON/S01214 This page intentionally left blank U.S. Department of Energy DVP-December 2014, Monument Valley, Arizona February 2015 RIN 14126645 Page i Contents Sampling Event Summary ...............................................................................................................1 Monument Valley, Arizona, Disposal Site Sample Location Map ..................................................5

  16. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Alternate Water Supply System Sampling at the Riverton, Wyoming, Processing Site May 2014 LMS/RVT/S00314 This page intentionally left blank U.S. Department of Energy DVP-March 2014, Riverton, Wyoming May 2014 RIN 14035986 Page i Contents Sampling Event Summary ...............................................................................................................1 Riverton, WY, Processing Site, Sample Location Map ...................................................................3 Data

  17. September 2004 Water Sampling

    Office of Legacy Management (LM)

    February 2015 Groundwater and Surface Water Sampling at the Grand Junction, Colorado, Site April 2015 LMS/GJO/S00215 This page intentionally left blank U.S. Department of Energy DVP-February 2015, Grand Junction, Colorado, Site April 2015 RIN 15026795 Page i Contents Sampling Event Summary ...............................................................................................................1 Grand Junction, Colorado, Site Sample Location Map

  18. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Sampling at the Grand Junction, Colorado, Disposal Site November 2013 LMS/GRJ/S00813 This page intentionally left blank U.S. Department of Energy DVP-August 2013, Grand Junction, Colorado November 2013 RIN 13075515 Page i Contents Sampling Event Summary ...............................................................................................................1 Grand Junction, Colorado, Disposal Site Sample Location Map ....................................................3 Data Assessment

  19. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Old and New Rifle, Colorado, Processing Sites August 2013 LMS/RFN/RFO/S00613 This page intentionally left blank U.S. Department of Energy DVP-June 2013, Rifle, Colorado August 2013 RIN 13065380 Page i Contents Sampling Event Summary ...............................................................................................................1 Sample Location Map, New Rifle, Colorado, Processing Site ........................................................5 Sample Location Map, Old Rifle,

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Groundwater and Surface Water Sampling at the Slick Rock East and West, Colorado, Processing Sites November 2013 LMS/SRE/SRW/S0913 This page intentionally left blank U.S. Department of Energy DVP-September 2013, Slick Rock, Colorado November 2013 RIN 13095593 Page i Contents Sampling Event Summary ...............................................................................................................1 Slick Rock East and West, Colorado, Processing Sites, Sample Location Map

  1. Slope Error Measurement Tool for Solar Parabolic Trough Collectors: Preprint

    SciTech Connect (OSTI)

    Stynes, J. K.; Ihas, B.

    2012-04-01

    The National Renewable Energy Laboratory (NREL) has developed an optical measurement tool for parabolic solar collectors that measures the combined errors due to absorber misalignment and reflector slope error. The combined absorber alignment and reflector slope errors are measured using a digital camera to photograph the reflected image of the absorber in the collector. Previous work using the image of the reflection of the absorber finds the reflector slope errors from the reflection of the absorber and an independent measurement of the absorber location. The accuracy of the reflector slope error measurement is thus dependent on the accuracy of the absorber location measurement. By measuring the combined reflector-absorber errors, the uncertainty in the absorber location measurement is eliminated. The related performance merit, the intercept factor, depends on the combined effects of the absorber alignment and reflector slope errors. Measuring the combined effect provides a simpler measurement and a more accurate input to the intercept factor estimate. The minimal equipment and setup required for this measurement technique make it ideal for field measurements.

  2. Balancing aggregation and smoothing errors in inverse models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Turner, A. J.; Jacob, D. J.

    2015-01-13

    Inverse models use observations of a system (observation vector) to quantify the variables driving that system (state vector) by statistical optimization. When the observation vector is large, such as with satellite data, selecting a suitable dimension for the state vector is a challenge. A state vector that is too large cannot be effectively constrained by the observations, leading to smoothing error. However, reducing the dimension of the state vector leads to aggregation error as prior relationships between state vector elements are imposed rather than optimized. Here we present a method for quantifying aggregation and smoothing errors as a function ofmore¬†¬Ľ state vector dimension, so that a suitable dimension can be selected by minimizing the combined error. Reducing the state vector within the aggregation error constraints can have the added advantage of enabling analytical solution to the inverse problem with full error characterization. We compare three methods for reducing the dimension of the state vector from its native resolution: (1) merging adjacent elements (grid coarsening), (2) clustering with principal component analysis (PCA), and (3) applying a Gaussian mixture model (GMM) with Gaussian pdfs as state vector elements on which the native-resolution state vector elements are projected using radial basis functions (RBFs). The GMM method leads to somewhat lower aggregation error than the other methods, but more importantly it retains resolution of major local features in the state vector while smoothing weak and broad features.¬ę¬†less

  3. Balancing aggregation and smoothing errors in inverse models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Turner, A. J.; Jacob, D. J.

    2015-06-30

    Inverse models use observations of a system (observation vector) to quantify the variables driving that system (state vector) by statistical optimization. When the observation vector is large, such as with satellite data, selecting a suitable dimension for the state vector is a challenge. A state vector that is too large cannot be effectively constrained by the observations, leading to smoothing error. However, reducing the dimension of the state vector leads to aggregation error as prior relationships between state vector elements are imposed rather than optimized. Here we present a method for quantifying aggregation and smoothing errors as a function ofmore¬†¬Ľ state vector dimension, so that a suitable dimension can be selected by minimizing the combined error. Reducing the state vector within the aggregation error constraints can have the added advantage of enabling analytical solution to the inverse problem with full error characterization. We compare three methods for reducing the dimension of the state vector from its native resolution: (1) merging adjacent elements (grid coarsening), (2) clustering with principal component analysis (PCA), and (3) applying a Gaussian mixture model (GMM) with Gaussian pdfs as state vector elements on which the native-resolution state vector elements are projected using radial basis functions (RBFs). The GMM method leads to somewhat lower aggregation error than the other methods, but more importantly it retains resolution of major local features in the state vector while smoothing weak and broad features.¬ę¬†less

  4. Small Business Program (Text Version) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Small Business Program (Text Version) Small Business Program (Text Version) This is the text version for the images on the EERE Small Business Program page. North American Industry Classification System This pie chart shows the top ten North American Industry Classification System codes used by businesses working with the Department of Energy in September 2015. They are 541611: Administrative Management and General Management Consulting Services: $35,932,769; 541330: Engineering Services:

  5. Project Profile: Helios: Understanding Solar Evolution through Text

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Analytics | Department of Energy Soft Costs ¬Ľ Project Profile: Helios: Understanding Solar Evolution through Text Analytics Project Profile: Helios: Understanding Solar Evolution through Text Analytics Logo of SRI International. SRI International, under the Solar Energy Evolution and Diffusion Studies (SEEDS) program, is developing a new system for large-scale text analytics, called Helios, to isolate and map recurring patterns of technology evolution through the inspection of thousands of

  6. ZERH Webinar: Successful Strategies for the Housing Innovation Awards (Text

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Version) | Department of Energy Successful Strategies for the Housing Innovation Awards (Text Version) ZERH Webinar: Successful Strategies for the Housing Innovation Awards (Text Version) Here is the text version of the webinar Successful Strategies for the Housing Innovation Awards, presented in April 2016. Watch the presentation. Sam Rashkin: ... this advantage of being a partner with Zero Energy Ready Home that you can get recognition. First presentation slide: And, in fact, we think

  7. Assistant Secretary for EERE Danielson Keynote (text version) | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Assistant Secretary for EERE Danielson Keynote (text version) Assistant Secretary for EERE Danielson Keynote (text version) Below is the text version for the Keynote: The Honorable David T. Danielson, Assistant Secretary for Energy Efficiency and Renewable Energy, U.S. Department of Energy Video. DAVID DANIELSON: Next up, we are going to have a very exciting panel with some major thought leaders in the private sector and then we will be moving to the incredibly value networking

  8. Cost Principles Webinar for DOE Grant Recipients - Text Version |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Cost Principles Webinar for DOE Grant Recipients - Text Version Cost Principles Webinar for DOE Grant Recipients - Text Version Following is a text transcript of the April 2011 Cost Principles Webinar for DOE Grant Recipients. Title Slide: Cost Principles Webinar for DOE Grant Recipients U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Golden Field Office April 2011 Narration: The following webinar can be used as a reference tool for recipients

  9. DOE Zero Energy Home Webinar: Comprehensive Building Science (Text Version)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Home Webinar: Comprehensive Building Science (Text Version) DOE Zero Energy Home Webinar: Comprehensive Building Science (Text Version) Below is the text version of the webinar, DOE Zero Energy Ready Home - Comprehensive Building Science, presented in March 2014. Watch the presentation. Lindsay Parker: Hi, everyone. Thanks for joining us for the Department of Energy Challenge Home technical webinar. We'll be starting in a couple minutes. Waiting for people to come on

  10. Selling Zero Energy Ready Homes Made Easy Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar Selling Zero Energy Ready Homes Made Easy, presented in October 2015. Watch the presentation.

  11. Home Energy Score Update (text version) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Update (text version) Home Energy Score Update (text version) Below is a text version of the webinar titled "Home Energy Score Update," originally presented on November 17, 2010. In addition to this text version of the audio, you can access the presentation slides and a recording of the Webinar (WMV 58 MB). Joan Glickman: We'll get through as many as we can in the next half an hour. Next slide: So as many of you probably know, this all started through the Recovery Through Retrofit

  12. Text-Alternative Version: MSSLC Member Case Studies - LED Street...

    Energy Savers [EERE]

    MSSLC Member Case Studies - LED Street Lighting Programs Webinar Text-Alternative Version: MSSLC Member Case Studies - LED Street Lighting Programs Webinar Below is the ...

  13. Text-Alternative Version: Municipal Solid-State Street Lighting...

    Energy Savers [EERE]

    Street Lighting Consortium Retrofit Financial Analysis Tool Webcast Below is the text-alternative version of the "Municipal Solid-State Street Lighting Consortium ...

  14. Text-Alternative Version: Using the Street and Parking Facility...

    Energy Savers [EERE]

    Using the Street and Parking Facility Lighting Retrofit Financial Analysis Tool Text-Alternative Version: Using the Street and Parking Facility Lighting Retrofit Financial Analysis ...

  15. Text-Alternative Version: LED Site Lighting in the Commercial...

    Energy Savers [EERE]

    Site Lighting in the Commercial Building Sector: Opportunities, Challenges, and the CBEA Performance Specification Text-Alternative Version: LED Site Lighting in the Commercial ...

  16. BENEFIT 2015 Funding Opportunity Announcement Webinar 1 (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar, BENEFIT 2015 Funding Opportunity Announcement, presented in October 2014 by Antonio Bouza, technology manager, and Pat Phelan, program manager, Building...

  17. Electricity Grid Basics Webinar Presentation Slides and Text Version

    Office of Energy Efficiency and Renewable Energy (EERE)

    Download presentation slides and a text version of the audio from the DOE Office of Indian Energy webinar on electricity grid basics.

  18. Text-Alternative Version: Philadelphia Market Introduction Workshop Video

    Broader source: Energy.gov [DOE]

    Following is a text version of Jim Brodrick's opening presentation video from the July 2010 DOE SSL Market Introduction Workshop in Philadelphia, Pennsylvania.

  19. Department of Energy Critical Materials Strategy Video (Text Version)

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a text version of the "Department of Energy Critical Materials Strategy" video presented at the Critical Materials Workshop, held on April 3, 2012 in Arlington, Virginia.

  20. National Academies Criticality Methodology and Assessment Video (Text Version)

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a text version of the "National Academies Criticality Methodology and Assessment" video presented at the Critical Materials Workshop, held on April 3, 2012 in Arlington, Virginia.

  1. Solar Energy Education. Renewable energy: a background text....

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

    Citation Details In-Document Search Title: Solar Energy Education. Renewable energy: a background text. Includes glossary You are accessing a document from the Department of ...

  2. Fuel Cell Animation- Fuel Cell Stack (Text Version)

    Broader source: Energy.gov [DOE]

    This text version of the fuel cell animation demonstrates how a fuel cell uses hydrogen to produce electricity, with only water and heat as byproducts.

  3. Fuel Cell Animation- Fuel Cell Components (Text Version)

    Broader source: Energy.gov [DOE]

    This text version of the fuel cell animation demonstrates how a fuel cell uses hydrogen to produce electricity, with only water and heat as byproducts.

  4. Biomass 2013: Register Now (Text Version) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Register Now (Text Version) Biomass 2013: Register Now (Text Version) Below is the text version for the Biomass 2013: Register Now video. The Video opens with "U.S. Department of Energy Biomass 2013." The Biomass 2013 graphic is shown onscreen. Music with an opening video montage plays. A video of Chris Coons speaking at Biomass 2012 begins. The next phase of biofuels is ready to leap from the lab bench to the marketplace... Video shows pictures of Biomass 2012 conference. Text shows

  5. Text-Alternative Version: Raleigh R&D Workshop Video

    Broader source: Energy.gov [DOE]

    Following is a text version of Jim Brodrick's opening presentation video from the February 2010 DOE SSL R&D Workshop in Raleigh, North Carolina.

  6. Text-Alternative Version of Building America Webinar: Field Test...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Field Test Best Practices, BEopt, and the National Residential Efficiency Measures Database Text-Alternative Version of Building America Webinar: Field Test Best Practices, BEopt, ...

  7. Critical Materials Research in DOE Video (Text Version)

    Broader source: Energy.gov [DOE]

    This is a text version of the "Critical Materials Research in DOE" video presented at the Critical Materials Workshop, held on April 3, 2012 in Arlington, Virginia.

  8. Microsoft PowerPoint - TextAnalysis_w_Hadoop

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

    Scientific Computing Hadoop-based document management architecture nt Source HBase Ingest Pub M d RSS Email cumen Source Text Metadata Process Med Do Metadata Annotations Katta...

  9. Text-Alternative Version: Seattle Market Introduction Workshop Video

    Broader source: Energy.gov [DOE]

    Following is a text version of Jim Brodrick's welcome presentation video from the July 2011 DOE SSL Market Introduction Workshop in Seattle, Washington.

  10. BENEFIT 2016 Funding Opportunity- Full Applications Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Here is the text version of the webinar BENEFIT 2016 Funding Opportunity - Full Applications, presented in March 2016. Watch the presentation.