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 soil’s characteristics. Most often, spatial variability in the soil’s 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 soil’s 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 for almost 87% of the cost difference. The sum of these differences could result in a $34 per acre cost difference for the fertilization. Because of these differences, better analysis or better sampling methods may need to be done, or more samples collected, to ensure that the soil measurements are truly representative of the field’s spatial variability.

  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. 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...

  5. 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...

  6. 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

  7. EIA - Sorry! Unexpected Error

    Gasoline and Diesel Fuel Update (EIA)

    Error Sorry An error was encountered. This error could be due to scheduled maintenance. Information about the error has been routed to the appropriate person. Please try...

  8. 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.

  9. 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.).

  10. TEXT ACCOMPANYING GMS46

    Office of Scientific and Technical Information (OSTI)

    DE87 013080 TEXT ACCOMPANYING GMS46 Geology o f the Breitenbush River Area, Linn and Marion Counties, Oregon By George R. Priest, Neil M. Woller, and Mark L. Ferns, Oregon Department of Geology and Mineral Industries Structural Geology The area is cut by a major N. 22" E.-trending fault that is here referred to as the "Hoover fault" for its exposure on the east end of Hoover Ridge. The Hoover fault separates northwest-tilted rocks of unit Tbl on Hoover Ridge from younger rocks

  11. 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"...

  12. 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.

  13. 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.

  14. 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. error while loading shared libraries: libxxxx.so: cannot open

  15. 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

  16. 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.

  17. 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.

  18. EIA - Sorry! Unexpected Error

    Gasoline and Diesel Fuel Update (EIA)

    Maps Combined Natural Gas Transportation Maps About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates U.S. Natural Gas Pipeline Network Map of U.S. Natural Gas Pipeline Network Major Natural Gas Supply Basins Relative to Natural Gas Pipeline Transportation Corridors Map of Major Natural Gas Supply Basins Relative to Natural Gas Pipeline Transportation Corridors see related text enlarge see related text enlarge U.S. Regional Breakdown

  19. 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.  

  20. 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.

  1. Trouble Shooting and Error Messages

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

    ... the compile time and run time if your code only uses MPI, otherwise you run into dependency issues between MPI and SHMEM shared libraries. libhugetlbfs: ERROR: RTLDNEXT used ...

  2. Trouble Shooting and Error Messages

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

    the job error with width parameters to aprun user Make sure PBS -l mppwidth value matches aprun -n value new values for MPICHUNEXBUFFERSIZE are required user Increase...

  3. 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.

  4. 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...

  5. 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

  6. 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...

  7. 2012 NERSC User Survey Text

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

    2012 User Survey Text 2010/2011 User Survey Results 2009/2010 User Survey Results 2008/2009 User Survey Results 2007/2008 User Survey Results 2006 User Survey Results 2005 User Survey Results 2004 User Survey Results 2003 User Survey Results 2002 User Survey Results 2001 User Survey Results 2000 User Survey Results 1999 User Survey Results 1998 User Survey Results HPC Requirements for Science HPC Workshop Reports NERSC Staff Publications & Presentations Journal Cover Stories Galleries

  8. 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 » the photometric redshifts with z ≤ 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 – 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.« less

  9. Assessing Energy Resources Webinar Text Version | Department...

    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. PDF ...

  10. Solar Webinar Text Version | Department of Energy

    Energy Savers [EERE]

    Text Version Solar Webinar Text Version Download the text version of the audio from the DOE Office of Indian Energy webinar on solar renewable energy. PDF icon DOE Office of Indian Energy Foundational Course on Solar: Text Version More Documents & Publications SERC Photovoltaics for Residential Buildings Webinar Transcript text_alternative_stat_webinar_2012_8_15.doc Wind Webinar Text Version

  11. 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. PDF icon DOE Office of Indian Energy ...

  12. 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.

  13. 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.

  14. 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...

  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. Wind Webinar Text Version | Department of Energy

    Energy Savers [EERE]

    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 DOE Office of Indian Energy Foundational Course on Wind More Documents & Publications SERC Photovoltaics for Residential Buildings Webinar Transcript strategiesforsuccessfulenergymanagement.doc Biomass Webinar

  17. 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.

  18. 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.

  19. 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...

  20. 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 ...

  1. Visio-Error&OmissionNoClouds.vsd

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

    *SCR - Sandia Contracting Representative *SDR - Sandia Delegated Representative *E&OB - Errors & Omissions Board * PM - Project Manager * REQ - Requester Facilities Projects Line ...

  2. 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.

  3. 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...

  4. 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

  5. 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.

  6. 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.

  7. 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.}

  8. 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.

  9. Manufacturing Ecosystems and Keystone Technologies (Text Version)

    Broader source: Energy.gov [DOE]

    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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. Full Text Glossary | Department of Energy

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

    Full Text Glossary Full Text Glossary The full-text glossary includes terms used throughout the website and in Biomass Program publications. Terms are listed alphabetically for easy reference. The term index lists all of the terms defined in the glossary. 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 acid: A solution that has an excess of hydrogen ions (H+), with a pH of less than 7. acetic acid: An acid with the structure of C2H4O2.

  17. 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.

  18. 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.

  19. 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.

  20. 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...

  1. 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.

  2. Thermal Hydraulic Simulations, Error Estimation and Parameter

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

    Thermal Hydraulic Simulations, Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M. Wildey Sandia National Laboratories September, 2013 CASL-U-2013-0203-001 SANDIA REPORT SAND2013-XXXX Unlimited Release Printed September 2013 Thermal Hydraulic Simulations, Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M.

  3. PPPL News sample:

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

    PPPL News sample:

  4. 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.

  5. 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 » 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.« less

  6. X-rays Illuminate Ancient Archimedes Text

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

    Related Links: May 2005 Headlines TIP Article Press Release Walters Art Museum SSRL Home Page SLAC Home Page Stanford Home Page Tuesday, 31 May 2005 X-rays Illuminate Ancient Archimedes Text (contact: Uwe Bergmann, bergmann@slac.stanford.edu) Archimedes Figure Image provided by Will Noel, The Walters Art Museum An early transcription of Archimedes' mathematical theories has been brought to light through the probing of high-intensity x-rays at SSRL's BL6-2. The text contains part of the Method of

  7. 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.

  8. 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.

  9. 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

  10. 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 more realistic and accurate. To do so, measurements of standards and waste drums were performed with High Efficiency Neutron Counters (HENC) located at Los Alamos National Laboratory (LANL). The data were analyzed for multiplication effects and new estimates of the multiplication error were computed. A concluding section will present alternatives for reducing the number of rejections of TRU waste containers due to neutron multiplication error.

  11. 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.

  12. 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 statisticians used carefully thought out designs that systematically and economically provided plans for data collection from the DWPF process. Key shared features of the sampling designs used at DWPF and the Gy sampling methodology were the specification of a standard for sample representativeness, an investigation that produced data from the process to study the sampling function, and a decision framework used to assess whether the specification was met based on the data. Without going into detail with regard to the seven errors identified by Pierre Gy, as excellent summaries are readily available such as Pitard [1989] and Smith [2001], SRS engineers understood, for example, that samplers can be biased (Gy�s extraction error), and developed plans to mitigate those biases. Experiments that compared installed samplers with more representative samples obtained directly from the tank may not have resulted in systematically partitioning sampling errors into the now well-known error categories of Gy, but did provide overall information on the suitability of sampling systems. Most of the designs in this report are related to the DWPF vessels, not the large SRS Tank Farm tanks. Samples from the DWPF Slurry Mix Evaporator (SME), which contains the feed to the DWPF melter, are characterized using standardized analytical methods with known uncertainty. The analytical error is combined with the established error from sampling and processing in DWPF to determine the melter feed composition. This composition is used with the known uncertainty of the models in the Product Composition Control System (PCCS) to ensure that the wasteform that is produced is comfortably within the acceptable processing and product performance region. Having the advantage of many years of processing that meets the waste glass product acceptance criteria, the DWPF process has provided a considerable amount of data about itself in addition to the data from many special studies. Demonstrating representative sampling directly from the large Tank Farm tanks is a difficult, if not unsolvable enterprise due to limited accessibility. However, the consistency and the adequacy of sampling and mixing at SRS could at least be studied under the controlled process conditions based on samples discussed by Ray and others [2012a] in Waste Form Qualification Report (WQR) Volume 2 and the transfers from Tanks 40H and 51H to the Sludge Receipt and Adjustment Tank (SRAT) within DWPF. It is important to realize that the need for sample representativeness becomes more stringent as the material gets closer to the melter, and the tanks within DWPF have been studied extensively to meet those needs.

  13. 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.

  14. 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....

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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,...

  1. 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...

  2. Common Errors and Innovative Solutions Transcript

    Broader source: Energy.gov [DOE]

    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.

  3. 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 » we also provide and test a framework for balancing the physical discretization error with the stochastic interpolation error of the enhanced sparse grid approximation.« less

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Improving Memory Error Handling Using Linux

    SciTech Connect (OSTI)

    Carlton, Michael Andrew [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Blanchard, Sean P. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Debardeleben, Nathan A. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    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.

  11. text_sunshot_softcosts.docx | Department of Energy

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

    softcosts.docx File text_sunshot_softcosts.docx More Documents & Publications text_sunshot_rtc.docx text_sunshot_csp.docx text_sunshot_pdil

  12. 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.

  13. 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 » effort (elimination of redundant weighing)« less

  14. 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).

  15. 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.

  16. 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...

  17. 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...

  18. 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...

  19. Geothermal Webinar Presentation Slides and Text Version | Department...

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

    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 ...

  20. text_sunshot_pdil.docx | Department of Energy

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

    pdil.docx File text_sunshot_pdil.docx More Documents & Publications text_sunshot_rtc.docx text_sunshot_csp

  1. text_sunshot_rtc.docx | Department of Energy

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

    rtc.docx File text_sunshot_rtc.docx More Documents & Publications text_sunshot_csp.docx text_sunshot_pdil

  2. 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...

  3. 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.

  4. Alt Text Requirements for Web Images | Department of Energy

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

    Graphics & Images » Alt Text Requirements for Web Images Alt Text Requirements for Web Images 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. Writing Alt Text Alt text is a written description of the items, events, and text in the image. Briefly summarize the image. Most alt text should look like this:

  5. Error-eliminating rapid ultrasonic firing

    DOE Patents [OSTI]

    Borenstein, Johann (Ann Arbor, MI); Koren, Yoram (Ann Arbor, MI)

    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.

  6. 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.

  7. 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.

  8. 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 ...

  9. sunshot_summit_chu_text.docx | Department of Energy

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

    sunshot_summit_chu_text.docx File sunshot_summit_chu_text.docx More Documents & Publications Home Performance with ENERGY STAR Webinar (text version) highperformanceleasingstrategiesforstateandlocalgovernments.doc Interior Lighting Efficiency for Municipalities

  10. 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 ...

  11. 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.

  12. 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

  13. 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...

  14. 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. ...

  15. 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 ...

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

    Office of Scientific and Technical Information (OSTI)

    Title: A posteriori error analysis of parameterized linear systems using spectral methods. Abstract not provided. Authors: Constantine, Paul ; Butler, Troy Publication Date: ...

  17. 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 ...

  18. 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...

  19. 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...

  20. A Posteriori Error Analysis and Adaptive Construction of Surrogate...

    Office of Scientific and Technical Information (OSTI)

    A Posteriori Error Analysis and Adaptive Construction of Surrogate Models. Citation ... Sponsoring Org: USDOE National Nuclear Security Administration (NNSA) Country of ...

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

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

    V-235: Cisco Mobility Services Engine Configuration Error Lets Remote Users Login ... and Local Users Gain Elevated Privileges V-076: Cisco Wireless LAN Controller Bugs Let ...

  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. Inherent Errors Associated with Raman Based Thermal Conductivity...

    Office of Scientific and Technical Information (OSTI)

    Title: Inherent Errors Associated with Raman Based Thermal Conductivity Measurements. Abstract not provided. Authors: Yates, Luke ; Beechem Iii, Thomas Edwin Publication Date: ...

  4. Water and Sediment Sampling

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

    L) (Bq/L) Sample of Opportunity * 9/13/2014 Below MDC Below MDC Sample of Opportunity * 9/13/2014 Below MDC Below MDC Sample of Opportunity * 9/13/2014 Below MDC Below MDC Sample of Opportunity (Dupe) * 9/13/2014 Below MDC Below MDC Sample of Opportunity * 9/13/2014 Below MDC Below MDC Sample of Opportunity * 9/13/2014 Below MDC Below MDC Blank 9/13/2014 Below MDC Below MDC Sample of Opportunity * 8/26/2014 Below MDC Below MDC Sample of Opportunity (Dupe) * 8/26/2014 Below MDC Below MDC Sample

  5. 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.

  6. 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.

  7. Video, Audio, and Animation Text Versions for Web Accessibility |

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

    Department of Energy Videos, Animations, & Audio » Video, Audio, and Animation Text Versions for Web Accessibility Video, Audio, and Animation Text Versions for Web Accessibility 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 version for a video, audio file, or animation. Requirements Follow these requirements for developing a text version for

  8. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... Treatment system locations 1202, 1205, and 1206 were not ... and types (alkalinity, temperature, specific conductance, ... and sampled using the low-flow sampling method and ...

  9. 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.

  10. 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...

  11. National Residential Efficiency Measures Database Unveiled (text version)

    Broader source: Energy.gov [DOE]

    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...

  12. Sample Preparation Laboratory Training - Course 204 | Sample...

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

    mandatory for: SLAC employees and non-employees who need unescorted access to SSRL or LCLS Sample Preparation Laboratories Note: This course may be taken in lieu of Course 199,...

  13. Text-Alternative Version: LEDs for Interior Office Applications

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the LEDs for Interior Office Applications webcast, held March 18, 2010.

  14. 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?

  15. Alternative Fuels Data Center: CNG Vehicle Fueling Animation Text Version

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Natural Gas Printable Version Share this resource Send a link to Alternative Fuels Data Center: CNG Vehicle Fueling Animation Text Version to someone by E-mail Share Alternative Fuels Data Center: CNG Vehicle Fueling Animation Text Version on Facebook Tweet about Alternative Fuels Data Center: CNG Vehicle Fueling Animation Text Version on Twitter Bookmark Alternative Fuels Data Center: CNG Vehicle Fueling Animation Text Version on Google Bookmark Alternative Fuels Data Center: CNG Vehicle

  16. Text-Alternative Version: Pedestrian-Friendly Nighttime Lighting Webinar

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "Pedestrian-Friendly Nighttime Lighting" webcast, held November 19, 2013.

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

    Broader source: Energy.gov [DOE]

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

  18. 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.

  19. Text-Alternative Version: LED Replacements for Linear Fluorescent Lamps

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "LED Replacements for Linear Fluorescent Lamps" webcast, held June 20, 2011.

  20. 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.

  1. 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.

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

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the Evaluating LED Street Lighting Solutions webcast, held July 20, 2010.

  3. 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.

  4. 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

  5. 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 » 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.« less

  6. 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 » 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.« less

  7. 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.

  8. 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: stl_iterator_base_types.h Intel C++ compiler error: stl_iterator_base_types.h December 7, 2015 by Scott French Because the system-supplied version of GCC is relatively old (4.3.4) it is common practice to load the gcc module on our Cray systems when C++11 support is required under the Intel C++ compilers. While this works as expected under the GCC 4.8 and 4.9 series compilers, the 5.x series can cause Intel C++ compile-time errors similar to the following:

  9. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  10. Link error from craype/2.5.0

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

    Link error from craype/2.5.0 Link error from craype/2.5.0 January 13, 2016 by Woo-Sun Yang If you build a code using a file called 'configure' with craype/2.5.0, Cray build-tools assumes that you want to use the 'native' link mode (e.g., gcc defaults to dynamic linking), by adding '-Wl,-rpath=/opt/intel/composer_xe_2015/compiler/lib/intel64 -lintlc'. This creates a link error: /usr/bin/ld: cannot find -lintlc A temporary work around is to swap the default craype (2.5.0) with an older or newer

  11. 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.

  12. Rain sampling device

    DOE Patents [OSTI]

    Nelson, Danny A. (Richland, WA); Tomich, Stanley D. (Richland, WA); Glover, Donald W. (Prosser, WA); Allen, Errol V. (Benton City, WA); Hales, Jeremy M. (Kennewick, WA); Dana, Marshall T. (Richland, WA)

    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.

  13. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... met when purging a Category I well: Was one pumptubing volume purged prior to sampling? ... Yes Was one pumptubing volume removed prior to sampling? Yes 9. Were duplicates taken at ...

  14. 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:

  15. Wind Career Map Text Version | Department of Energy

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

    Career Map Text Version Wind Career Map Text Version Below is the text version for the Wind Career Map. The application includes five fields of work-Project Development; Component Manufacturing; Construction; Operations; and Education, Training, and Research. Each section is divided into entry-level, mid-level, and advanced-level jobs, and lists advancement opportunities for each career. All jobs link to the Wind Energy Career Map: Resource List and the Frequently Asked Questions (FAQ). You can

  16. 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

  17. Strategic Energy Planning Webinar Text Version | Department of Energy

    Energy Savers [EERE]

    Text Version Strategic Energy Planning Webinar Text Version Download the text version of the audio from the DOE Office of Indian Energy webinar on strategic energy planning. PDF icon DOE Office of Indian Energy Foundational Course on Strategic Energy Planning Audio Version More Documents & Publications Strategic Energy Planning Webinar Presentation Slides 2016 Tribal Energy and Economic Development January Webinar: Energy Planning for Tribal Economic Development Community-Scale Tribal

  18. Strengthening the Workforce in Better Buildings Neighborhoods (Text

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

    Version) | Department of Energy Strengthening the Workforce in Better Buildings Neighborhoods (Text Version) Strengthening the Workforce in Better Buildings Neighborhoods (Text Version) Below is a text version of the Better Buildings Neighborhood Program "Strengthening the Workforce in Better Buildings Neighborhoods" video. [MUSIC] [GRAPHIC: Saving energy, creating jobs, improving neighborhoods] Gil Sperling, U.S. Department of Energy: Better Buildings is our signature initiative

  19. 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

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

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

    Department of Energy 1 (Text Version) BENEFIT 2015 Funding Opportunity Announcement Webinar 1 (Text Version) 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 Technologies Office. Antonio Bouza: OK. We're going to start the webinar. Can somebody just type in that you're able to hear me, just to give confirmation? Assuming that everybody can hear me.

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

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

    | Department of Energy 6 Funding Opportunity - Full Applications Webinar (Text Version) BENEFIT 2016 Funding Opportunity - Full Applications Webinar (Text Version) Here is the text version of the webinar BENEFIT 2016 Funding Opportunity - Full Applications, presented in March 2016. Watch the presentation. Karma Sawyer: Presentation cover slide: Good afternoon, everyone. Welcome to our webinar. Thank-you for your interest in the U.S. Department of Energy's efforts on renewable energy and

  2. BENEFIT Funding Opportunity 2016 Webinar #1 (Text Version) | Department of

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

    Energy Funding Opportunity 2016 Webinar #1 (Text Version) BENEFIT Funding Opportunity 2016 Webinar #1 (Text Version) Below is the text version of the BENEFIT Funding Opportunity 2016 Webinar #1, presented in December 2015. Watch the presentation. Karma Sawyer: Presentation cover slide: We are here today for a webinar regarding the 2016 BENEFIT FOA. "BENEFIT" stands for Buildings Energy Efficiency Frontiers and Innovation Technologies. The BENEFIT FOA was released by the Emerging

  3. Better Plants Look Ahead Webinar: Text Version | Department of Energy

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

    Technical Assistance » Better Plants » Better Plants Look Ahead Webinar: Text Version Better Plants Look Ahead Webinar: Text Version Description The Better Plants Program hosted a webinar on January 22, 2015 to review accomplishments to date and detail new initiatives to save partners energy and water. Question and answer session is included. Download presentation slides. Text Version Better Buildings, Better Plants Overview and Look Ahead - January 22, 2015 >> ANDRE DE FONTAINE:

  4. Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-Area Sky Surveys

    SciTech Connect (OSTI)

    Li, T.S.; et al.

    2016-01-01

    Meeting the science goals for many current and future ground-based optical large-area sky surveys requires that the calibrated broadband photometry is stable in time and uniform over the sky to 1% precision or better. Past surveys have achieved photometric precision of 1-2% by calibrating the survey's stellar photometry with repeated measurements of a large number of stars observed in multiple epochs. The calibration techniques employed by these surveys only consider the relative frame-by-frame photometric zeropoint offset and the focal plane position-dependent illumination corrections, which are independent of the source color. However, variations in the wavelength dependence of the atmospheric transmission and the instrumental throughput induce source color-dependent systematic errors. These systematic errors must also be considered to achieve the most precise photometric measurements. In this paper, we examine such systematic chromatic errors using photometry from the Dark Energy Survey (DES) as an example. We define a natural magnitude system for DES and calculate the systematic errors on stellar magnitudes, when the atmospheric transmission and instrumental throughput deviate from the natural system. We conclude that the systematic chromatic errors caused by the change of airmass in each exposure, the change of the precipitable water vapor and aerosol in the atmosphere over time, and the non-uniformity of instrumental throughput over the focal plane, can be up to 2% in some bandpasses. We compare the calculated systematic chromatic errors with the observed DES data. For the test sample data, we correct these errors using measurements of the atmospheric transmission and instrumental throughput. The residual after correction is less than 0.3%. We also find that the errors for non-stellar objects are redshift-dependent and can be larger than those for stars at certain redshifts.

  5. 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.

  6. 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.

  7. 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

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

    Broader source: Energy.gov [DOE]

    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.

  9. 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...

  10. Electricity Grid Basics 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 electricity grid basics.

  11. 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.

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

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

    text version of the webinar titled "Home Energy Score: Program Update for Interested ... who might be interested in becoming a Home Energy Score Partner. OK, so next slide. ...

  13. 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.

  14. 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.

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

    Broader source: Energy.gov [DOE]

    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.

  16. 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.

  17. Advisory on the reporting error in the combined propane stocks...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Advisory on the reporting error in the combined propane stocks for PADDs 4 and 5 Release Date: June 12, 2013 The U.S. Energy Information Administration issued the following...

  18. Locked modes and magnetic field errors in the Madison Symmetric...

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

    ... Here A de- creases at the sawtooth crash, showing the flattening and inward shift of the ... triple its value. (b) The m 1 component of the magnetic field error of the poloidal gap. ...

  19. Wind Power Forecasting Error Distributions over Multiple Timescales: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-03-01

    In this paper, we examine the shape of the persistence model error distribution for ten different wind plants in the ERCOT system over multiple timescales. Comparisons are made between the experimental distribution shape and that of the normal distribution.

  20. Servo control booster system for minimizing following error

    DOE Patents [OSTI]

    Wise, William L.

    1985-01-01

    A closed-loop feedback-controlled servo system is disclosed which reduces command-to-response error to the system's position feedback resolution least increment, .DELTA.S.sub.R, on a continuous real-time basis for all operating speeds. The servo system employs a second position feedback control loop on a by exception basis, when the command-to-response error .gtoreq..DELTA.S.sub.R, to produce precise position correction signals. When the command-to-response error is less than .DELTA.S.sub.R, control automatically reverts to conventional control means as the second position feedback control loop is disconnected, becoming transparent to conventional servo control means. By operating the second unique position feedback control loop used herein at the appropriate clocking rate, command-to-response error may be reduced to the position feedback resolution least increment. The present system may be utilized in combination with a tachometer loop for increased stability.

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........9 Sampling Quality Control Assessment ......the water level probe would become tangled with the dedicated pump tubing and power cable. ...

  2. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Sampling at the Falls City, Texas, Disposal Site July 2015 LMS/FCT/S00415 This page intentionally left blank U.S. Department of Energy DVP-April 2015, Falls City, Texas July 2015 RIN 15036899 Page i Contents Sampling Event Summary ...............................................................................................................1 Falls City, Texas, Disposal Site Sample Location Map...................................................................3 Data Assessment Summary

  3. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Sampling at the Hallam, Nebraska, Decommissioned Reactor Site September 2014 LMS/HAL/S00614 This page intentionally left blank U.S. Department of Energy DVP-June 2014, Hallam, Nebraska September 2014 RIN 14056211 Page i Contents Sampling Event Summary ...............................................................................................................1 Hallam, Nebraska, Sample Location Map .......................................................................................3 Data

  4. 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

  5. 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

  6. 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

  7. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Groundwater Sampling at the Bluewater, New Mexico, Disposal Site February 2015 LMS/BLU/S01114 This page intentionally left blank U.S. Department of Energy DVP-November 2014, Bluewater, New Mexico February 2015 RIN 14116606 Page i Contents Sampling Event Summary ...............................................................................................................1 Bluewater, New Mexico, Disposal Site, Sample Location Map......................................................5 Data

  8. 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

  9. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Monticello, Utah, Processing Site July 2014 LMS/MNT/S00414 This page intentionally left blank U.S. Department of Energy DVP-April 2014, Monticello, Utah July 2014 RIN 14046077 Page i Contents Sampling Event Summary ...............................................................................................................1 Planned Sampling Map, April 2014, Monticello, Utah, Processing Site .........................................5 Data Assessment Summary

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Monticello, Utah, Processing Site July 2015 LMS/MNT/S00415 This page intentionally left blank U.S. Department of Energy DVP-April 2015, Monticello, Utah July 2015 RIN 15046927 Page i Contents Sampling Event Summary ...............................................................................................................1 Monticello, Utah, Processing Site Sample Location Map ...............................................................5 Data Assessment

  11. September 2004 Water Sampling

    Office of Legacy Management (LM)

    3 Water Sampling at the Monticello, Utah, Processing Site January 2014 LMS/MNT/S01013 This page intentionally left blank U.S. Department of Energy DVP-October 2013, Monticello, Utah January 2014 RIN 13105661 and 13105711 Page i Contents Sampling Event Summary ...............................................................................................................1 Planned Sampling Map, Monticello, Utah, Processing and Disposal Site, October 2013 ..............5 Data Assessment Summary

  12. 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

  13. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Groundwater, Surface Water, and Alternate Water Supply System Sampling at the Riverton, Wyoming, Processing Site December 2013 LMS/RVT/S00913 This page intentionally left blank U.S. Department of Energy DVP-September 2013, Riverton, Wyoming December 2013 RIN 13095603 Page i Contents Sampling Event Summary ...............................................................................................................1 Riverton, Wyoming, Sample Location Map

  14. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and May 2014 Groundwater and Surface Water Sampling at the Shiprock, New Mexico, Disposal Site June 2014 LMS/SHP/S00314 This page intentionally left blank U.S. Department of Energy DVP-March and May 2014, Shiprock, New Mexico June 2014 RIN 14036011, 14036013, and 14056142 Page i Contents Sampling Event Summary ...............................................................................................................1 Shiprock, New Mexico, Disposal Site, Sample Location Map

  15. September 2004 Water Sampling

    Office of Legacy Management (LM)

    2015 Groundwater and Surface Water Sampling at the Shiprock, New Mexico, Disposal Site June 2015 LMS/SHP/S00315 This page intentionally left blank U.S. Department of Energy DVP-March 2015, Shiprock, New Mexico June 2015 RIN 15036862 and 15036863 Page i Contents Sampling Event Summary ...............................................................................................................1 Planned Sampling Map Shiprock, New Mexico, Disposal Site

  16. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Sampling at the Shirley Basin South, Wyoming, Disposal Site September 2013 LMS/SBS/S00613 This page intentionally left blank U.S. Department of Energy DVP-June 2013, Shirley Basin South, Wyoming September 2013 RIN 13065426 Page i Contents Sampling Event Summary ...............................................................................................................1 Shirley Basin South, Wyoming, Disposal Site Sample Location Map ............................................3 Data Assessment

  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)

    Groundwater Sampling at the Grand Junction, Colorado, Disposal Site November 2014 LMS/GRJ/S00814 This page intentionally left blank U.S. Department of Energy DVP-August 2014, Grand Junction, Colorado November 2014 RIN 14076376 Page i Contents Sampling Event Summary ...............................................................................................................1 Grand Junction, Colorado, Disposal Site Sample Location Map ....................................................3 Data

  19. 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

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater and Surface Water Sampling at the Gunnison, Colorado, Processing Site September 2014 LMS/GUP/S00414 This page intentionally left blank U.S. Department of Energy DVP-April and June 2014, Gunnison, Colorado September 2014 RIN 14046058 and 14066262 Page i Contents Sampling Event Summary ...............................................................................................................1 Gunnison, Colorado, Processing Site Planned Sampling Map

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Naturita, Colorado Processing Site October 2013 LMS/NAP/S00713 This page intentionally left blank U.S. Department of Energy DVP-July 2013, Naturita, Colorado October 2013 RIN 13075483 Page i Contents Sampling Event Summary ...............................................................................................................1 Naturita, Colorado, Sample Location Map ......................................................................................3

  2. 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,

  3. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater and Surface Water Sampling at the Slick Rock, Colorado, Processing Sites December 2014 LMS/SRW/SRE/S00914 This page intentionally left blank U.S. Department of Energy DVP-September 2014, Slick Rock, Colorado December 2014 RIN 14096456 Page i Contents Sampling Event Summary ...............................................................................................................1 Slick Rock, Colorado, Processing Sites, Sample Location Map

  4. 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

  5. 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...

  6. Visio-Error&OmissionNoClouds.vsd

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

    Error/Omission Process Process Owner: Department Managers, Corporate Projects and Facilities Projects February 7, 2008 KEY Responsibilities *A/E - Architectural/Engineering Firm *SCR - Sandia Contracting Representative *SDR - Sandia Delegated Representative *E&OB - Errors & Omissions Board * PM - Project Manager * REQ - Requester Facilities Projects Line Item Projects Review Design Findings and Begin Discovery PM Cost Impact? Yes Cost Impact <3% of ICAA? Yes Yes Take Out of Project

  7. Error and Uncertainty in Raman Thermal Conductivity Measurements

    Office of Scientific and Technical Information (OSTI)

    20695J 1 Error and Uncertainty in Raman Thermal Conductivity Measurements 2 Thomas Beechem,1, a) Luke Yates,1,2 and Samuel Graham2 3 !)Sandia National Laboratories, Albuquerque, NM, USA 87123 4 2' )G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 5 Atlanta, GA, 30332 Error and uncertainty in Raman thermal conductivity measurements are investigated via fi- nite element based numerical simulation of two geometries often employed-Joule-heating of a wire and

  8. Inherent Errors Associated with Raman Based Thermal Conductivity

    Office of Scientific and Technical Information (OSTI)

    Measurements. (Conference) | SciTech Connect Inherent Errors Associated with Raman Based Thermal Conductivity Measurements. Citation Details In-Document Search Title: Inherent Errors Associated with Raman Based Thermal Conductivity Measurements. Abstract not provided. Authors: Yates, Luke ; Beechem Iii, Thomas Edwin Publication Date: 2012-09-01 OSTI Identifier: 1116452 Report Number(s): SAND2012-7840C 480433 DOE Contract Number: AC04-94AL85000 Resource Type: Conference Resource Relation:

  9. WIPP Field Practices: Common Errors and Innovative Solutions | Department

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

    of Energy WIPP Field Practices: Common Errors and Innovative Solutions WIPP Field Practices: Common Errors and Innovative Solutions What to do when approaching an unfamiliar house for weatherization, with hidden air leakage and a multitude of mysteries? This webinar focuses on the Dos and Don'ts of WIPP weatherization, and is guaranteed to be an hour well spent looking over photographs that show detail and perspective on air sealing, blocking, venting, and other weatherization measures. This

  10. Using doppler radar images to estimate aircraft navigational heading error

    DOE Patents [OSTI]

    Doerry, Armin W.; Jordan, Jay D.; Kim, Theodore J.

    2012-07-03

    A yaw angle error of a motion measurement system carried on an aircraft for navigation is estimated from Doppler radar images captured using the aircraft. At least two radar pulses aimed at respectively different physical locations in a targeted area are transmitted from a radar antenna carried on the aircraft. At least two Doppler radar images that respectively correspond to the at least two transmitted radar pulses are produced. These images are used to produce an estimate of the yaw angle error.

  11. A Posteriori Error Analysis and Adaptive Construction of Surrogate Models.

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Posteriori Error Analysis and Adaptive Construction of Surrogate Models. Citation Details In-Document Search Title: A Posteriori Error Analysis and Adaptive Construction of Surrogate Models. Abstract not provided. Authors: Jakeman, John Davis ; Butler, Troy ; Constantine, Paul ; Dawson, Clint ; Bryant, Corey ; Prudhomme, Serge Publication Date: 2013-05-01 OSTI Identifier: 1080030 Report Number(s): SAND2013-4226C 455854 DOE Contract Number: AC04-94AL85000

  12. A posteriori error analysis of parameterized linear systems using spectral

    Office of Scientific and Technical Information (OSTI)

    methods. (Journal Article) | SciTech Connect Journal Article: A posteriori error analysis of parameterized linear systems using spectral methods. Citation Details In-Document Search Title: A posteriori error analysis of parameterized linear systems using spectral methods. Abstract not provided. Authors: Constantine, Paul ; Butler, Troy Publication Date: 2011-07-01 OSTI Identifier: 1106467 Report Number(s): SAND2011-4711J 463817 DOE Contract Number: AC04-94AL85000 Resource Type: Journal

  13. Confirmation of standard error analysis techniques applied to EXAFS using

    Office of Scientific and Technical Information (OSTI)

    simulations (Conference) | SciTech Connect Confirmation of standard error analysis techniques applied to EXAFS using simulations Citation Details In-Document Search Title: Confirmation of standard error analysis techniques applied to EXAFS using simulations Systematic uncertainties, such as those in calculated backscattering amplitudes, crystal glitches, etc., not only limit the ultimate accuracy of the EXAFS technique, but also affect the covariance matrix representation of real parameter

  14. Confirmation of standard error analysis techniques applied to EXAFS using

    Office of Scientific and Technical Information (OSTI)

    simulations (Conference) | SciTech Connect Confirmation of standard error analysis techniques applied to EXAFS using simulations Citation Details In-Document Search Title: Confirmation of standard error analysis techniques applied to EXAFS using simulations × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize

  15. A Possible Calorimetric Error in Heavy Water Electrolysis on Platinum

    SciTech Connect (OSTI)

    Shanahan, K.L.

    2001-03-16

    A systematic error in mass flow calorimetry calibration procedures potentially capable of explaining most positive excess power measurements is described. Data recently interpreted as providing evidence of the Pons-Fleischmann effect with a platinum cathode are reinterpreted with the opposite conclusion. This indicates it is premature to conclude platinum displays a Pons and Fleischmann effect, and places the requirement to evaluate the error's magnitude on all mass flow calorimetric experiments.

  16. Monte Carlo analysis of localization errors in magnetoencephalography

    SciTech Connect (OSTI)

    Medvick, P.A.; Lewis, P.S.; Aine, C.; Flynn, E.R.

    1989-01-01

    In magnetoencephalography (MEG), the magnetic fields created by electrical activity in the brain are measured on the surface of the skull. To determine the location of the activity, the measured field is fit to an assumed source generator model, such as a current dipole, by minimizing chi-square. For current dipoles and other nonlinear source models, the fit is performed by an iterative least squares procedure such as the Levenberg-Marquardt algorithm. Once the fit has been computed, analysis of the resulting value of chi-square can determine whether the assumed source model is adequate to account for the measurements. If the source model is adequate, then the effect of measurement error on the fitted model parameters must be analyzed. Although these kinds of simulation studies can provide a rough idea of the effect that measurement error can be expected to have on source localization, they cannot provide detailed enough information to determine the effects that the errors in a particular measurement situation will produce. In this work, we introduce and describe the use of Monte Carlo-based techniques to analyze model fitting errors for real data. Given the details of the measurement setup and a statistical description of the measurement errors, these techniques determine the effects the errors have on the fitted model parameters. The effects can then be summarized in various ways such as parameter variances/covariances or multidimensional confidence regions. 8 refs., 3 figs.

  17. Compiler-Assisted Detection of Transient Memory Errors

    SciTech Connect (OSTI)

    Tavarageri, Sanket; Krishnamoorthy, Sriram; Sadayappan, Ponnuswamy

    2014-06-09

    The probability of bit flips in hardware memory systems is projected to increase significantly as memory systems continue to scale in size and complexity. Effective hardware-based error detection and correction requires that the complete data path, involving all parts of the memory system, be protected with sufficient redundancy. First, this may be costly to employ on commodity computing platforms and second, even on high-end systems, protection against multi-bit errors may be lacking. Therefore, augmenting hardware error detection schemes with software techniques is of consider- able interest. In this paper, we consider software-level mechanisms to comprehensively detect transient memory faults. We develop novel compile-time algorithms to instrument application programs with checksum computation codes so as to detect memory errors. Unlike prior approaches that employ checksums on computational and architectural state, our scheme verifies every data access and works by tracking variables as they are produced and consumed. Experimental evaluation demonstrates that the proposed comprehensive error detection solution is viable as a completely software-only scheme. We also demonstrate that with limited hardware support, overheads of error detection can be further reduced.

  18. Error Rate Comparison during Polymerase Chain Reaction by DNA Polymerase

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

    McInerney, Peter; Adams, Paul; Hadi, Masood Z.

    2014-01-01

    As larger-scale cloning projects become more prevalent, there is an increasing need for comparisons among high fidelity DNA polymerases used for PCR amplification. All polymerases marketed for PCR applications are tested for fidelity properties (i.e., error rate determination) by vendors, and numerous literature reports have addressed PCR enzyme fidelity. Nonetheless, it is often difficult to make direct comparisons among different enzymes due to numerous methodological and analytical differences from study to study. We have measured the error rates for 6 DNA polymerases commonly used in PCR applications, including 3 polymerases typically used for cloning applications requiring high fidelity. Errormore » rate measurement values reported here were obtained by direct sequencing of cloned PCR products. The strategy employed here allows interrogation of error rate across a very large DNA sequence space, since 94 unique DNA targets were used as templates for PCR cloning. The six enzymes included in the study, Taq polymerase, AccuPrime-Taq High Fidelity, KOD Hot Start, cloned Pfu polymerase, Phusion Hot Start, and Pwo polymerase, we find the lowest error rates with Pfu , Phusion, and Pwo polymerases. Error rates are comparable for these 3 enzymes and are >10x lower than the error rate observed with Taq polymerase. Mutation spectra are reported, with the 3 high fidelity enzymes displaying broadly similar types of mutations. For these enzymes, transition mutations predominate, with little bias observed for type of transition.« less

  19. Aerosol sampling system

    DOE Patents [OSTI]

    Masquelier, Donald A.

    2004-02-10

    A system for sampling air and collecting particulate of a predetermined particle size range. A low pass section has an opening of a preselected size for gathering the air but excluding particles larger than the sample particles. An impactor section is connected to the low pass section and separates the air flow into a bypass air flow that does not contain the sample particles and a product air flow that does contain the sample particles. A wetted-wall cyclone collector, connected to the impactor section, receives the product air flow and traps the sample particles in a liquid.

  20. Sandia Text ANaLysis Extensible librarY Server

    Energy Science and Technology Software Center (OSTI)

    2006-05-11

    This is a server wrapper for STANLEY (Sandia Text ANaLysis Extensible librarY). STANLEY provides capabilities for analyzing, indexing and searching through text. STANLEY Server exposes this capability through a TCP/IP interface allowing third party applications and remote clients to access it.

  1. Sample Proficiency Test exercise

    SciTech Connect (OSTI)

    Alcaraz, A; Gregg, H; Koester, C

    2006-02-05

    The current format of the OPCW proficiency tests has multiple sets of 2 samples sent to an analysis laboratory. In each sample set, one is identified as a sample, the other as a blank. This method of conducting proficiency tests differs from how an OPCW designated laboratory would receive authentic samples (a set of three containers, each not identified, consisting of the authentic sample, a control sample, and a blank sample). This exercise was designed to test the reporting if the proficiency tests were to be conducted. As such, this is not an official OPCW proficiency test, and the attached report is one method by which LLNL might report their analyses under a more realistic testing scheme. Therefore, the title on the report ''Report of the Umpteenth Official OPCW Proficiency Test'' is meaningless, and provides a bit of whimsy for the analyses and readers of the report.

  2. Single Langmuir probe characteristic in a magnetized plasma at the text tokamak

    SciTech Connect (OSTI)

    Jachmich, S.

    1995-05-01

    A single Langmuir probe tip was used at TEXT-Upgrade to obtain I-V characteristics in a magnetized plasma. Noisy data were reduced by a boxcar-averaging routine. Unexpected effects, namely nonsaturation of ion current, hysterises in the characteristics and I(V)-data were observed, which are in disagreement to the common single probe model. A double probe model allows parameterization of the I(V) curves and to determine the plasma properties in the scrape-off layer. It is shown in this model that a Langmuir probe does perturb the local space potential in the plasma. Comparisons were made with the triple probe technique of measuring temperatures. The nonsaturation of ion current leads to an error in the triple probe technique of order 20%.

  3. The Better Buildings Neighborhood Program for a Better Future (Text

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

    Version) | Department of Energy The Better Buildings Neighborhood Program for a Better Future (Text Version) The Better Buildings Neighborhood Program for a Better Future (Text Version) Below is a text version of "The Better Buildings Neighborhood Program for a Better Future" video. [FAST-PACED MUSIC] "We are creating change in our community." "We are creating jobs." "We're making our homes more energy efficient." "We're using less energy."

  4. Full Text of the National Electric Transmission Congestion Study 2006

    Energy Savers [EERE]

    Full Text Glossary Full Text Glossary The full-text glossary includes terms used throughout the website and in Biomass Program publications. Terms are listed alphabetically for easy reference. The term index lists all of the terms defined in the glossary. 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 acid: A solution that has an excess of hydrogen ions (H+), with a pH of less than 7. acetic acid: An acid with the structure of C2H4O2.

  5. Quality Management Systems for Zero Energy Ready Home Webinar (Text

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

    Version) | Department of Energy Quality Management Systems for Zero Energy Ready Home Webinar (Text Version) Quality Management Systems for Zero Energy Ready Home Webinar (Text Version) Below is the text version of the webinar, Quality Management Systems for Zero Energy Ready Home, presented in October 2014. Watch the presentation. GoToWebinar voice: The broadcast is now starting. All attendees are in listen-only mode. Lindsay Parker: Hi, everyone. We're really glad that you can make it here

  6. Fuel Cell Animation (Text Version) | Department of Energy

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

    Information Resources » Multimedia » Fuel Cell Animation (Text Version) Fuel Cell Animation (Text Version) 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. Fuel cell shown with its inputs and outputs. Hydrogen input on left, oxygen input on right, water and heat outputs on the back, with an electrical circuit going around the top. A fuel cell is a device that uses hydrogen (or hydrogen-rich

  7. BENEFIT 2015 Funding Opportunity Announcement Webinar 2 (Text Version) |

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

    Department of Energy 2 (Text Version) BENEFIT 2015 Funding Opportunity Announcement Webinar 2 (Text Version) Below is the text version of the webinar, BENEFIT 2015 Funding Opportunity Announcement 2, presented in October 2014 by Antonio Bouza and Jim Payne of the Building Technologies Office. Presenters talking. Antonio Bouza: I'll give everybody one minute, since we have 21 people. Hello, all. This is Antonio M. Bouza from the U.S. Department of Energy. We're going to wait one minute just

  8. Project Profile: Helios: Understanding Solar Evolution through Text Analytics

    Broader source: Energy.gov [DOE]

    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...

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

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

    text version of the webinar titled "Home Energy Score: Analysis and Improvements to ... up with when we put together the Home Energy Score program and we look back at these ...

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

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

    a text version and understand all of the major themes and messages in a multimedia file. ... visitors who find the page through a search engine to find the original multimedia file. ...

  11. Text-Alternative Version: Understanding and Evaluating LM-79 Reports

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of Day 1 of the three-part TINSSL Webinar Series "Understanding and Evaluating LM-79 & LM-80 Reports for SSL Technology," held August 10, 2010.

  12. EV Everywhere: Text Version of Share Your EV Story Video

    Broader source: Energy.gov [DOE]

    This is a text version of the Share Your EV Story video, which features interviews with drivers of electric vehicles who work at the Department of Energy and its national laboratories sharing their experiences.

  13. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and September 2013 Groundwater and Surface Water Sampling at the Durango, Colorado, Disposal and Processing Sites March 2014 LMS/DUD/DUP/S00613 This page intentionally left blank U.S. Department of Energy DVP-June and September 2013, Durango, Colorado March 2014 RIN 13055370 and 13085577 Page i Contents Sampling Event Summary ...............................................................................................................1 Durango, Colorado, Disposal Site Sample Location Map-June

  14. Text Transcript of the Tribal Energy and Economic Development February

    Energy Savers [EERE]

    Webinar: Exploring Your Energy Markets | Department of Energy Text Transcript of the Tribal Energy and Economic Development February Webinar: Exploring Your Energy Markets Text Transcript of the Tribal Energy and Economic Development February Webinar: Exploring Your Energy Markets Randy Manion: Good morning or good afternoon wherever you may be and welcome to the second webinar of the 2016 DOE Tribal Renewable Energy Webinar Series: Exploring Your Energy Markets. I'm Randy Manion, today's

  15. NREL: Learning - National Wind Technology Center Video (Text Version)

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

    National Wind Technology Center Video (Text Version) This is the text version for the National Wind Technology Center video. The video opens with spinning blades of wind turbines and the National Renewable Energy Laboratory logo. It then cuts to images of windmills turning on farms. The video cuts in between shots of wind turbines and face-to-face interviews of scientists from NREL's National Wind Technology Center. (Voiceover) It is a pure, plentiful natural resource. Jim Johnson, Senior

  16. NREL: Transportation Research - E-Roadway Animation (Text Version)

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

    Transportation Research Printable Version E-Roadway Animation (Text Version) This text version of the e-roadway animation describes how electrified roadways can reduce petroleum consumption and vehicle operating costs while extending the range of electric vehicles. Part One: E-Roadway Introduction and Benefits Reducing emissions and oil consumption are crucial worldwide goals. Many technologies can contribute to achieving these goals-efficient homes, biofuels, hybrid electric vehicles, hydrogen

  17. Solar Energy Education. Renewable energy: a background text. [Includes

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

    glossary] (Technical Report) | SciTech Connect energy: a background text. [Includes glossary] 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 Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in energy

  18. GUM Analysis for SIMS Isotopic Ratios in BEP0 Graphite Qualification Samples, Round 2

    SciTech Connect (OSTI)

    Gerlach, David C.; Heasler, Patrick G.; Reid, Bruce D.

    2009-01-01

    This report describes GUM calculations for TIMS and SIMS isotopic ratio measurements of reactor graphite samples. These isotopic ratios are used to estimate reactor burn-up, and currently consist of various ratios of U, Pu, and Boron impurities in the graphite samples. The GUM calculation is a propagation of error methodology that assigns uncertainties (in the form of standard error and confidence bound) to the final estimates.

  19. A METHODOLOGY FOR INTEGRATING IMAGES AND TEXT FOR OBJECT IDENTIFICATION

    SciTech Connect (OSTI)

    Paulson, Patrick R.; Hohimer, Ryan E.; Doucette, Peter J.; Harvey, William J.; Seedahmed, Gamal H.; Petrie, Gregg M.; Martucci, Louis M.

    2006-02-13

    Often text and imagery contain information that must be combined to solve a problem. One approach begins with transforming the raw text and imagery into a common structure that contains the critical information in a usable form. This paper presents an application in which the imagery of vehicles and the text from police reports were combined to demonstrate the power of data fusion to correctly identify the target vehicle--e.g., a red 2002 Ford truck identified in a police report--from a collection of diverse vehicle images. The imagery was abstracted into a common signature by first capturing the conceptual models of the imagery experts in software. Our system then (1) extracted fundamental features (e.g., wheel base, color), (2) made inferences about the information (e.g., it’s a red Ford) and then (3) translated the raw information into an abstract knowledge signature that was designed to both capture the important features and account for uncertainty. Likewise, the conceptual models of text analysis experts were instantiated into software that was used to generate an abstract knowledge signature that could be readily compared to the imagery knowledge signature. While this experiment primary focus was to demonstrate the power of text and imagery fusion for a specific example it also suggested several ways that text and geo-registered imagery could be combined to help solve other types of problems.

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........11 Sampling Quality Control Assessment ......Yes With the exception of well 83-70 which is an irrigation pump with power lines inside, ...

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Data Surface Water and Treatment System Quality Data ... and types (alkalinity, temperature, specific conductance, ... met the Category I or II low-flow sampling criteria and ...

  2. Economic penalties of problems and errors in solar energy systems

    SciTech Connect (OSTI)

    Raman, K.; Sparkes, H.R.

    1983-01-01

    Experience with a large number of installed solar energy systems in the HUD Solar Program has shown that a variety of problems and design/installation errors have occurred in many solar systems, sometimes resulting in substantial additional costs for repair and/or replacement. In this paper, the effect of problems and errors on the economics of solar energy systems is examined. A method is outlined for doing this in terms of selected economic indicators. The method is illustrated by a simple example of a residential solar DHW system. An example of an installed, instrumented solar energy system in the HUD Solar Program is then discussed. Detailed results are given for the effects of the problems and errors on the cash flow, cost of delivered heat, discounted payback period, and life-cycle cost of the solar energy system. Conclusions are drawn regarding the most suitable economic indicators for showing the effects of problems and errors in solar energy systems. A method is outlined for deciding on the maximum justifiable expenditure for maintenance on a solar energy system with problems or errors.

  3. Creating Sample Plans

    Energy Science and Technology Software Center (OSTI)

    1999-03-24

    The program has been designed to increase the accuracy and reduce the preparation time for completing sampling plans. It consists of our files 1. Analyte/Combination (AnalCombo) A list of analytes and combinations of analytes that can be requested of the onsite and offsite labs. Whenever a specific combination of analytes or suite names appear on the same line as the code number, this indicates that one sample can be placed in one bottle to bemore » analyzed for these paremeters. A code number is assigned for each analyte and combination of analytes. 2. Sampling Plans Database (SPDb) A database that contains all of the analytes and combinations of analytes along with the basic information required for preparing a sample plan. That basic information includes the following fields; matrix, hold time, preservation, sample volume, container size, if the bottle caps are taped, acceptable choices. 3. Sampling plans create (SPcreate) a file that will lookup information from the Sampling Plans Database and the Job Log File (JLF98) A major database used by Sample Managemnet Services for recording more than 100 fields of information.« less

  4. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Falls City, Texas, Disposal Site April 2014 LMS/FCT/S00214 This page intentionally left blank U.S. Department of Energy DVP-February 2014, Falls City, Texas April 2014 RIN 14025923 Page i Contents Sampling Event Summary ...............................................................................................................1 Falls City, Texas, Disposal Site, Sample Location Map..................................................................3 Data Assessment Summary

  5. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Parkersburg, West Virginia, Disposal Site February 2014 LMS/PKB/S01113 This page intentionally left blank U.S. Department of Energy DVP-November 2013, Parkersburg, West Virginia February 2014 13095640, 13115753 Page i Contents Sampling Event Summary ...............................................................................................................1 Parkersburg, West Virginia, Disposal Site Sample Location Map ..................................................5 Data Assessment Summary

  6. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Sherwood, Washington, Disposal Site July 2014 LMS/SHE/S00514 This page intentionally left blank U.S. Department of Energy DVP-May 2014, Sherwood, Washington July 2014 RIN 14056159 Page i Contents Sampling Event Summary ...............................................................................................................1 Sherwood, Washington, Disposal Site Sample Location Map ........................................................3 Data Assessment Summary

  7. Adaptive Sampling Proxy Application

    Energy Science and Technology Software Center (OSTI)

    2012-10-22

    ASPA is an implementation of an adaptive sampling algorithm [1-3], which is used to reduce the computational expense of computer simulations that couple disparate physical scales. The purpose of ASPA is to encapsulate the algorithms required for adaptive sampling independently from any specific application, so that alternative algorithms and programming models for exascale computers can be investigated more easily.

  8. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Canonsburg, Pennsylvania, Disposal Site February 2014 LMS/CAN/S01113 This page intentionally left blank U.S. Department of Energy DVP-November 2013, Canonsburg, Pennsylvania February 2014 RIN 13095639 Page i Contents Sampling Event Summary ...............................................................................................................1 Canonsburg, Pennsylvania, Disposal Site, Sample Location Map ..................................................3 Data Assessment Summary

  9. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Riverton, Wyoming, Processing Site September 2013 LMS/RVT/S00613 This page intentionally left blank U.S. Department of Energy DVP-June 2013, Riverton, Wyoming September 2013 RIN 13065379 Page i Contents Sampling Event Summary ...............................................................................................................1 Riverton, Wyoming, Processing Site, Sample Location Map .........................................................5 Data Assessment Summary

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Riverton, Wyoming, Processing Site February 2016 LMS/RVT/S00915 This page intentionally left blank U.S. Department of Energy DVP-September 2015, Riverton, Wyoming February 2016 RINs 15097345, 15097346, and 15097347 Page i Contents Sampling Event Summary ...............................................................................................................1 Riverton, Wyoming, Processing Site Planned Sampling Location Map .........................................7 Data Assessment Summary

  11. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Durango, Colorado, Disposal and Processing Sites October 2015 LMS/___/S0 LMS/DUR/S00615 This page intentionally left blank U.S. Department of Energy DVP-June 2015, Durango, Colorado October 2015 RIN 15057084 Page i Contents Sampling Event Summary ...............................................................................................................1 Durango, Colorado, Disposal Site, Sample Location Map ..............................................................5 Durango, Colorado,

  12. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Grand Junction, Colorado, Site April 2014 LMS/GJO/S00214 This page intentionally left blank U.S. Department of Energy DVP-February 2014, Grand Junction, Colorado April 2014 RIN 14025928 Page i Contents Sampling Event Summary ...............................................................................................................1 Grand Junction, Colorado, Site Sample Location Map ...................................................................3 Data Assessment Summary

  13. September 2004 Water Sampling

    Office of Legacy Management (LM)

    July 2015 Groundwater and Surface Water Sampling at the Gunnison, Colorado, Processing Site February 2016 LMS/GUP/S00415 This page intentionally left blank U.S. Department of Energy DVP-April and July 2015, Gunnison, Colorado February 2016 RINs 15046911 and 15067187 Page i Contents Sampling Event Summary ...............................................................................................................1 Data Assessment Summary

  14. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Rifle, Colorado, New and Old Processing Sites January 2014 LMS/RFN/RFO/S01113 This page intentionally left blank U.S. Department of Energy DVP-November 2013, Rifle, Colorado January 2014 RIN 13115731 Page i Contents Sampling Event Summary ...............................................................................................................1 New Rifle, Colorado, Processing Site, Sample Location Map ........................................................5 Old Rifle, Colorado, Processing

  15. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Old and New Rifle, Colorado, Processing Sites January 2015 LMS/RFN/RFO/S01114 This page intentionally left blank U.S. Department of Energy DVP-November 2014, Rifle, Colorado January 2015 RINs 14106568 and 14106569 Page i Contents Sampling Event Summary ...............................................................................................................1 New Rifle, Colorado, Processing Site, Planned Sampling Map ......................................................3 Old Rifle,

  16. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Slick Rock, Colorado, Processing Sites January 2016 LMS/SRE/SRW/S00915 This page intentionally left blank U.S. Department of Energy DVP-September 2015, Slick Rock, Colorado January 2016 RINs 15087319 and 15107424 Page i Contents Sampling Event Summary ...............................................................................................................1 Slick Rock, Colorado, Processing Sites, Sample Location Map .....................................................5 Data Assessment

  17. Sampling system and method

    DOE Patents [OSTI]

    Decker, David L.; Lyles, Brad F.; Purcell, Richard G.; Hershey, Ronald Lee

    2013-04-16

    The present disclosure provides an apparatus and method for coupling conduit segments together. A first pump obtains a sample and transmits it through a first conduit to a reservoir accessible by a second pump. The second pump further conducts the sample from the reservoir through a second conduit.

  18. Reducing collective quantum state rotation errors with reversible dephasing

    SciTech Connect (OSTI)

    Cox, Kevin C.; Norcia, Matthew A.; Weiner, Joshua M.; Bohnet, Justin G.; Thompson, James K.

    2014-12-29

    We demonstrate that reversible dephasing via inhomogeneous broadening can greatly reduce collective quantum state rotation errors, and observe the suppression of rotation errors by more than 21?dB in the context of collective population measurements of the spin states of an ensemble of 2.1×10{sup 5} laser cooled and trapped {sup 87}Rb atoms. The large reduction in rotation noise enables direct resolution of spin state populations 13(1) dB below the fundamental quantum projection noise limit. Further, the spin state measurement projects the system into an entangled state with 9.5(5) dB of directly observed spectroscopic enhancement (squeezing) relative to the standard quantum limit, whereas no enhancement would have been obtained without the suppression of rotation errors.

  19. Biological sample collector

    DOE Patents [OSTI]

    Murphy, Gloria A.

    2010-09-07

    A biological sample collector is adapted to a collect several biological samples in a plurality of filter wells. A biological sample collector may comprise a manifold plate for mounting a filter plate thereon, the filter plate having a plurality of filter wells therein; a hollow slider for engaging and positioning a tube that slides therethrough; and a slide case within which the hollow slider travels to allow the tube to be aligned with a selected filter well of the plurality of filter wells, wherein when the tube is aligned with the selected filter well, the tube is pushed through the hollow slider and into the selected filter well to sealingly engage the selected filter well and to allow the tube to deposit a biological sample onto a filter in the bottom of the selected filter well. The biological sample collector may be portable.

  20. 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-mpich/7.3.0 MPI errors from cray-mpich/7.3.0 January 6, 2016 by Ankit Bhagatwala A change in the MPICH2 library that now strictly enforces non-overlapping buffers in MPI collectives may cause some MPI applications that use overlapping buffers to fail at runtime. As an example, one of the routines affected is MPI_ALLGATHER. There are several possible fixes. The cleanest one is to specify MPI_IN_PLACE instead of the address of the send buffer for cases where sendbuf and

  1. When soft controls get slippery: User interfaces and human error

    SciTech Connect (OSTI)

    Stubler, W.F.; O`Hara, J.M.

    1998-12-01

    Many types of products and systems that have traditionally featured physical control devices are now being designed with soft controls--input formats appearing on computer-based display devices and operated by a variety of input devices. A review of complex human-machine systems found that soft controls are particularly prone to some types of errors and may affect overall system performance and safety. This paper discusses the application of design approaches for reducing the likelihood of these errors and for enhancing usability, user satisfaction, and system performance and safety.

  2. Laser Phase Errors in Seeded Free Electron Lasers

    SciTech Connect (OSTI)

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

    2012-04-17

    Harmonic seeding of free electron lasers has attracted significant attention as a method for producing 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 and impede production of transform-limited pulses. 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.

  3. JLab SRF Cavity Fabrication Errors, Consequences and Lessons Learned

    SciTech Connect (OSTI)

    Frank Marhauser

    2011-09-01

    Today, elliptical superconducting RF (SRF) cavities are preferably made from deep-drawn niobium sheets as pursued at Jefferson Laboratory (JLab). The fabrication of a cavity incorporates various cavity cell machining, trimming and electron beam welding (EBW) steps as well as surface chemistry that add to forming errors creating geometrical deviations of the cavity shape from its design. An analysis of in-house built cavities over the last years revealed significant errors in cavity production. Past fabrication flaws are described and lessons learned applied successfully to the most recent in-house series production of multi-cell cavities.

  4. Using adversary text to detect adversary phase changes.

    SciTech Connect (OSTI)

    Speed, Ann Elizabeth; Doser, Adele Beatrice; Warrender, Christina E.

    2009-05-01

    The purpose of this work was to help develop a research roadmap and small proof ofconcept for addressing key problems and gaps from the perspective of using text analysis methods as a primary tool for detecting when a group is undergoing a phase change. Self- rganizing map (SOM) techniques were used to analyze text data obtained from the tworld-wide web. Statistical studies indicate that it may be possible to predict phase changes, as well as detect whether or not an example of writing can be attributed to a group of interest.

  5. Inclusion in the Workplace - Text Version | Careers | NREL

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

    Inclusion in the Workplace - Text Version This is the text version for the Inclusion in the Workplace video. Manajit Sengupta: I work at NREL because of primarily the challenges, the excitement of the work, and the people I work with. Suzy Belmont: When people feel safe and they feel accepted, they're able to bring the best parts of themselves forward, and they're able to bring exciting new ideas forward because they feel like they can fail, they feel like they can try out new things. Bobi

  6. POLICY GUIDANCE MEMORANDUM #06 Reducing Text Messaging While Driving

    Broader source: Energy.gov [DOE]

    This Order directed all agencies of the executive branch to take appropriate action within the scope of their existing programs to further the policies of this order and to implement rules for text messaging while operating Government-owned vehicles, or using electronic equipment supplied by the Government while driving.

  7. V-172: ISC BIND RUNTIME_CHECK Error Lets Remote Users Deny Service...

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

    ISC BIND RUNTIMECHECK Error Lets Remote Users Deny Service Against Recursive Resolvers V-172: ISC BIND RUNTIMECHECK Error Lets Remote Users Deny Service Against Recursive...

  8. Water Sample Concentrator

    ScienceCinema (OSTI)

    Idaho National Laboratory

    2010-01-08

    Automated portable device that concentrates and packages a sample of suspected contaminated water for safe, efficient transport to a qualified analytical laboratory. This technology will help safeguard against pathogen contamination or chemical and biolog

  9. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... Yes 7. Were the following conditions met when purging a Category I well: Was one pump... Yes Was one pumptubing volume removed prior to sampling? Yes 9. Were duplicates taken at ...

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    2014 LMSGRNS00614 This page intentionally left blank U.S. Department of Energy DVP-June 2014, Green River, Utah August 2014 RIN 14066228 Page i Contents Sampling Event Summary ...

  11. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... DATA QUALIFIERS: F Low flow sampling method used. G Possible ... 10302014 N001 1900 0 Temperature C 10302014 N001 10.06 ... yards downstream from Treatment System Outfall Parameter ...

  12. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... Yes 5. Were the number and types (alkalinity, temperature, ... met the Category I or II low-flow sampling criteria and ... The three treatment plant locations 1202, 1205, and 1206 ...

  13. Dissolution actuated sample container

    DOE Patents [OSTI]

    Nance, Thomas A.; McCoy, Frank T.

    2013-03-26

    A sample collection vial and process of using a vial is provided. The sample collection vial has an opening secured by a dissolvable plug. When dissolved, liquids may enter into the interior of the collection vial passing along one or more edges of a dissolvable blocking member. As the blocking member is dissolved, a spring actuated closure is directed towards the opening of the vial which, when engaged, secures the vial contents against loss or contamination.

  14. SAMPLING AND ANALYSIS PROTOCOLS

    SciTech Connect (OSTI)

    Jannik, T; P Fledderman, P

    2007-02-09

    Radiological sampling and analyses are performed to collect data for a variety of specific reasons covering a wide range of projects. These activities include: Effluent monitoring; Environmental surveillance; Emergency response; Routine ambient monitoring; Background assessments; Nuclear license termination; Remediation; Deactivation and decommissioning (D&D); and Waste management. In this chapter, effluent monitoring and environmental surveillance programs at nuclear operating facilities and radiological sampling and analysis plans for remediation and D&D activities will be discussed.

  15. Error and uncertainty in Raman thermal conductivity measurements

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

    Thomas Edwin Beechem; Yates, Luke; Graham, Samuel

    2015-04-22

    We investigated error and uncertainty in Raman thermal conductivity measurements via finite element based numerical simulation of two geometries often employed -- Joule-heating of a wire and laser-heating of a suspended wafer. Using this methodology, the accuracy and precision of the Raman-derived thermal conductivity are shown to depend on (1) assumptions within the analytical model used in the deduction of thermal conductivity, (2) uncertainty in the quantification of heat flux and temperature, and (3) the evolution of thermomechanical stress during testing. Apart from the influence of stress, errors of 5% coupled with uncertainties of ±15% are achievable for most materialsmore » under conditions typical of Raman thermometry experiments. Error can increase to >20%, however, for materials having highly temperature dependent thermal conductivities or, in some materials, when thermomechanical stress develops concurrent with the heating. A dimensionless parameter -- termed the Raman stress factor -- is derived to identify when stress effects will induce large levels of error. Together, the results compare the utility of Raman based conductivity measurements relative to more established techniques while at the same time identifying situations where its use is most efficacious.« less

  16. Error and uncertainty in Raman thermal conductivity measurements

    SciTech Connect (OSTI)

    Thomas Edwin Beechem; Yates, Luke; Graham, Samuel

    2015-04-22

    We investigated error and uncertainty in Raman thermal conductivity measurements via finite element based numerical simulation of two geometries often employed -- Joule-heating of a wire and laser-heating of a suspended wafer. Using this methodology, the accuracy and precision of the Raman-derived thermal conductivity are shown to depend on (1) assumptions within the analytical model used in the deduction of thermal conductivity, (2) uncertainty in the quantification of heat flux and temperature, and (3) the evolution of thermomechanical stress during testing. Apart from the influence of stress, errors of 5% coupled with uncertainties of ±15% are achievable for most materials under conditions typical of Raman thermometry experiments. Error can increase to >20%, however, for materials having highly temperature dependent thermal conductivities or, in some materials, when thermomechanical stress develops concurrent with the heating. A dimensionless parameter -- termed the Raman stress factor -- is derived to identify when stress effects will induce large levels of error. Together, the results compare the utility of Raman based conductivity measurements relative to more established techniques while at the same time identifying situations where its use is most efficacious.

  17. Shape error analysis for reflective nano focusing optics

    SciTech Connect (OSTI)

    Modi, Mohammed H.; Idir, Mourad

    2010-06-23

    Focusing performance of reflective x-ray optics is determined by surface figure accuracy. Any surface imperfection present on such optics introduces a phase error in the outgoing wave fields. Therefore converging beam at the focal spot will differ from the desired performance. Effect of these errors on focusing performance can be calculated by wave optical approach considering a coherent wave field illumination of optical elements. We have developed a wave optics simulator using Fresnel-Kirchhoff diffraction integral to calculate the mirror pupil function. Both analytically calculated and measured surface topography data can be taken as an aberration source to outgoing wave fields. Simulations are performed to study the effect of surface height fluctuations on focusing performances over wide frequency range in high, mid and low frequency band. The results using real shape profile measured with long trace profilometer (LTP) suggest that the shape error of {lambda}/4 PV (peak to valley) is tolerable to achieve diffraction limited performance. It is desirable to remove shape error of very low frequency as 0.1 mm{sup -1} which otherwise will generate beam waist or satellite peaks. All other frequencies above this limit will not affect the focused beam profile but only caused a loss in intensity.

  18. The contour method cutting assumption: error minimization and correction

    SciTech Connect (OSTI)

    Prime, Michael B; Kastengren, Alan L

    2010-01-01

    The recently developed contour method can measure 2-D, cross-sectional residual-stress map. A part is cut in two using a precise and low-stress cutting technique such as electric discharge machining. The contours of the new surfaces created by the cut, which will not be flat if residual stresses are relaxed by the cutting, are then measured and used to calculate the original residual stresses. The precise nature of the assumption about the cut is presented theoretically and is evaluated experimentally. Simply assuming a flat cut is overly restrictive and misleading. The critical assumption is that the width of the cut, when measured in the original, undeformed configuration of the body is constant. Stresses at the cut tip during cutting cause the material to deform, which causes errors. The effect of such cutting errors on the measured stresses is presented. The important parameters are quantified. Experimental procedures for minimizing these errors are presented. An iterative finite element procedure to correct for the errors is also presented. The correction procedure is demonstrated on experimental data from a steel beam that was plastically bent to put in a known profile of residual stresses.

  19. Error Detection and Correction LDMS Plugin Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2015-11-02

    Sandia's Lightweight Distributed Metric Service (LDMS) is a data collection and transport system used at Livermore Computing to gather performance data across the center. While Sandia has a set of plugins available, they do not include all the data we need to capture. The ECAC plugin that we have developed enables collection of the Error Detection and Correction (EDAC) counters.

  20. Contributions to Human Errors and Breaches in National Security Applications.

    SciTech Connect (OSTI)

    Pond, D. J.; Houghton, F. K.; Gilmore, W. E.

    2002-01-01

    Los Alamos National Laboratory has recognized that security infractions are often the consequence of various types of human errors (e.g., mistakes, lapses, slips) and/or breaches (i.e., deliberate deviations from policies or required procedures with no intention to bring about an adverse security consequence) and therefore has established an error reduction program based in part on the techniques used to mitigate hazard and accident potentials. One cornerstone of this program, definition of the situational and personal factors that increase the likelihood of employee errors and breaches, is detailed here. This information can be used retrospectively (as in accident investigations) to support and guide inquiries into security incidents or prospectively (as in hazard assessments) to guide efforts to reduce the likelihood of error/incident occurrence. Both approaches provide the foundation for targeted interventions to reduce the influence of these factors and for the formation of subsequent 'lessons learned.' Overall security is enhanced not only by reducing the inadvertent releases of classified information but also by reducing the security and safeguards resources devoted to them, thereby allowing these resources to be concentrated on acts of malevolence.

  1. Servo control booster system for minimizing following error

    DOE Patents [OSTI]

    Wise, W.L.

    1979-07-26

    A closed-loop feedback-controlled servo system is disclosed which reduces command-to-response error to the system's position feedback resolution least increment, ..delta..S/sub R/, on a continuous real-time basis, for all operational times of consequence and for all operating speeds. The servo system employs a second position feedback control loop on a by exception basis, when the command-to-response error greater than or equal to ..delta..S/sub R/, to produce precise position correction signals. When the command-to-response error is less than ..delta..S/sub R/, control automatically reverts to conventional control means as the second position feedback control loop is disconnected, becoming transparent to conventional servo control means. By operating the second unique position feedback control loop used herein at the appropriate clocking rate, command-to-response error may be reduced to the position feedback resolution least increment. The present system may be utilized in combination with a tachometer loop for increased stability.

  2. Error field and magnetic diagnostic modeling for W7-X

    SciTech Connect (OSTI)

    Lazerson, Sam A.; Gates, David A.; NEILSON, GEORGE H.; OTTE, M.; Bozhenkov, S.; Pedersen, T. S.; GEIGER, J.; LORE, J.

    2014-07-01

    The prediction, detection, and compensation of error fields for the W7-X device will play a key role in achieving a high beta (Î’ = 5%), steady state (30 minute pulse) operating regime utilizing the island divertor system [1]. Additionally, detection and control of the equilibrium magnetic structure in the scrape-off layer will be necessary in the long-pulse campaign as bootstrapcurrent evolution may result in poor edge magnetic structure [2]. An SVD analysis of the magnetic diagnostics set indicates an ability to measure the toroidal current and stored energy, while profile variations go undetected in the magnetic diagnostics. An additional set of magnetic diagnostics is proposed which improves the ability to constrain the equilibrium current and pressure profiles. However, even with the ability to accurately measure equilibrium parameters, the presence of error fields can modify both the plasma response and diverter magnetic field structures in unfavorable ways. Vacuum flux surface mapping experiments allow for direct measurement of these modifications to magnetic structure. The ability to conduct such an experiment is a unique feature of stellarators. The trim coils may then be used to forward model the effect of an applied n = 1 error field. This allows the determination of lower limits for the detection of error field amplitude and phase using flux surface mapping. *Research supported by the U.S. DOE under Contract No. DE-AC02-09CH11466 with Princeton University.

  3. Liquid sampling system

    DOE Patents [OSTI]

    Larson, Loren L.

    1987-01-01

    A conduit extends from a reservoir through a sampling station and back to the reservoir in a closed loop. A jet ejector in the conduit establishes suction for withdrawing liquid from the reservoir. The conduit has a self-healing septum therein upstream of the jet ejector for receiving one end of a double-ended cannula, the other end of which is received in a serum bottle for sample collection. Gas is introduced into the conduit at a gas bleed between the sample collection bottle and the reservoir. The jet ejector evacuates gas from the conduit and the bottle and aspirates a column of liquid from the reservoir at a high rate. When the withdrawn liquid reaches the jet ejector the rate of flow therethrough reduces substantially and the gas bleed increases the pressure in the conduit for driving liquid into the sample bottle, the gas bleed forming a column of gas behind the withdrawn liquid column and interrupting the withdrawal of liquid from the reservoir. In the case of hazardous and toxic liquids, the sample bottle and the jet ejector may be isolated from the reservoir and may be further isolated from a control station containing remote manipulation means for the sample bottle and control valves for the jet ejector and gas bleed.

  4. Liquid sampling system

    DOE Patents [OSTI]

    Larson, L.L.

    1984-09-17

    A conduit extends from a reservoir through a sampling station and back to the reservoir in a closed loop. A jet ejector in the conduit establishes suction for withdrawing liquid from the reservoir. The conduit has a self-healing septum therein upstream of the jet ejector for receiving one end of a double-ended cannula, the other end of which is received in a serum bottle for sample collection. Gas is introduced into the conduit at a gas bleed between the sample collection bottle and the reservoir. The jet ejector evacuates gas from the conduit and the bottle and aspirates a column of liquid from the reservoir at a high rate. When the withdrawn liquid reaches the jet ejector the rate of flow therethrough reduces substantially and the gas bleed increases the pressure in the conduit for driving liquid into the sample bottle, the gas bleed forming a column of gas behind the withdrawn liquid column and interrupting the withdrawal of liquid from the reservoir. In the case of hazardous and toxic liquids, the sample bottle and the jet ejector may be isolated from the reservoir and may be further isolated from a control station containing remote manipulation means for the sample bottle and control valves for the jet ejector and gas bleed. 5 figs.

  5. Domain-independent information extraction in unstructured text

    SciTech Connect (OSTI)

    Irwin, N.H.

    1996-09-01

    Extracting information from unstructured text has become an important research area in recent years due to the large amount of text now electronically available. This status report describes the findings and work done during the second year of a two-year Laboratory Directed Research and Development Project. Building on the first-year`s work of identifying important entities, this report details techniques used to group words into semantic categories and to output templates containing selective document content. Using word profiles and category clustering derived during a training run, the time-consuming knowledge-building task can be avoided. Though the output still lacks in completeness when compared to systems with domain-specific knowledge bases, the results do look promising. The two approaches are compatible and could complement each other within the same system. Domain-independent approaches retain appeal as a system that adapts and learns will soon outpace a system with any amount of a priori knowledge.

  6. Text-Alternative Version of Building America Webinar: Central Multifamily

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

    Water Heating Systems | Department of Energy Central Multifamily Water Heating Systems Text-Alternative Version of Building America Webinar: Central Multifamily Water Heating Systems Central Multifamily Water Heating Systems January 21, 2015 Elizabeth Weitzel, Alliance for Residential Building Innovation (ARBI) Jordan Dentz, Advanced Residential Integrated Energy Solutions (ARIES) Eric Ansanelli, Advanced Residential Integrated Energy Solutions (ARIES) Gail: Hello everyone, I'm Gail Werren

  7. Text-Alternative Version of Building America Webinar: High Performance

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

    Enclosure Strategies, Part II: Low-E Storm Windows and Window Attachments | Department of Energy Enclosure Strategies, Part II: Low-E Storm Windows and Window Attachments Text-Alternative Version of Building America Webinar: High Performance Enclosure Strategies, Part II: Low-E Storm Windows and Window Attachments High Performance Enclosure Strategies, Part II: Low-E Storm Windows and Window Attachments October 27, 2015 Speakers Katherine Cort, Research Economist, Pacific Northwest National

  8. Text-Alternative Version of Building America Webinar: Retrofitting Central

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

    Space Conditioning Strategies for Multifamily Buildings | Department of Energy Retrofitting Central Space Conditioning Strategies for Multifamily Buildings Text-Alternative Version of Building America Webinar: Retrofitting Central Space Conditioning Strategies for Multifamily Buildings Gail Werren: Hello, everyone I am Gail Werren with the National Renewable Energy Laboratory and I'd like to welcome you to today's webinar hosted by the Building America program. We're excited to have

  9. Text-Alternative Version of Building America Webinar: Solutions for

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

    Combustion Safety in Existing Homes | Department of Energy Solutions for Combustion Safety in Existing Homes Text-Alternative Version of Building America Webinar: Solutions for Combustion Safety in Existing Homes Solutions for Combustion Safety in Existing Homes 12/16/15 Speakers Larry Brand, Research and Development Manager at the Gas Technology Institute and the Partnership for Advanced Residential Retrofit (PARR) David Bohac, Director of Research with the Center for Energy and Environment

  10. Text-Alternative Version of Building America Webinar: Ventilation

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

    Strategies for High Performance Homes, Part I: Application-Specific Ventilation Guidelines | Department of Energy Ventilation Strategies for High Performance Homes, Part I: Application-Specific Ventilation Guidelines Text-Alternative Version of Building America Webinar: Ventilation Strategies for High Performance Homes, Part I: Application-Specific Ventilation Guidelines August 26, 2015 Building America - Ventilation Strategies for High Performance Homes, Part I: Application-Specific

  11. Text-Alternative Version of High Performance Space Conditioning Systems:

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

    Part I | Department of Energy I Text-Alternative Version of High Performance Space Conditioning Systems: Part I High Performance Space Conditioning Systems: Part I October 21, 2014 Andrew Poerschke, Research Initiatives Specialist, IBACOS Kohta Ueno, Senior Associate, Building Science Corporation Gail: Hello everyone. I am Gail Werren with the National Renewable Energy Laboratory. And I'd like to welcome you to today's webinar hosted by the Building America Program. We are excited to have

  12. Text-Alternative Version of High Performance Space Conditioning Systems:

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

    Part II | Department of Energy II Text-Alternative Version of High Performance Space Conditioning Systems: Part II High Performance Space Conditioning Systems: Part II November 18, 2014 William Zoeller, Stephen Winter Associates Dave Mallay, Home Innovation Research Labs Jordan Dentz, The Levy Partnership Francis Conlin, High Performance Building Solutions Hello everyone! I am Gail Werren with the National Renewable Energy Laboratory, and I'd like to welcome you to today's webinar hosted by

  13. Text-Alternative Version: Challenges in LED Research and Development |

    Energy Savers [EERE]

    Department of Energy LED Research and Development Text-Alternative Version: Challenges in LED Research and Development Narrator: LEDs have made remarkable progress in the past decade and gained a strong foothold in the US marketplace. In 2012, LED lighting saved an estimated 71 trillion BTUs, equivalent to annual energy savings of $675 million. By 2013, that number had more than doubled, which equates to about $1.8 billion in annual energy savings. John Delany, Commonwealth Edison: The LED

  14. Text-Alternative Version: Challenges in OLED Research and Development |

    Energy Savers [EERE]

    Department of Energy OLED Research and Development Text-Alternative Version: Challenges in OLED Research and Development Narrator: Organic light-emitting diodes, OLEDs, are made using organic carbon-based materials. Unlike LEDs, which are small point light sources, OLEDs are made in sheets that create diffuse area lighting. As a result, the OLED offers a range of qualities beyond the scope of the LED - qualities that could revolutionize both commercial and residential lighting. James

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

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

    Department of Energy 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 of Federal grants to better understand cost principles and how they are incorporated into the award. Slide 1: Cognizance &

  16. Identification of potential biases in the characterization sampling and analysis process

    SciTech Connect (OSTI)

    Winkelman, W.D.; Eberlein, S.J.

    1995-12-01

    The Tank Waste Remediation System (TWRS) Characterization Project is responsible for providing quality characterization data to TWRS. Documentation of sampling and analysis process errors and biases can be used to improve the process to provide that data. The sampling and analysis process consists of removing a sample from a specified waste tank, getting it to the laboratory and analyzing it to provide the data identified in the Tank Characterization Plan (TCP) and Sampling and Analysis Plan (SAP). To understand the data fully, an understanding of errors or biases that can be generated during the process is necessary. Most measurement systems have the ability statistically to detect errors and biases by using standards and alternate measurement techniques. Only the laboratory analysis part of the tank sampling and analysis process at TWRS has this ability. Therefore, it is necessary to use other methods to identify and prioritize the biases involved in the process.

  17. Finding Text Information in the Ocean of Electronic Documents

    SciTech Connect (OSTI)

    Medvick, Patricia A.; Calapristi, Augustin J.

    2003-02-05

    Information management in natural resources has become an overwhelming task. A massive amount of electronic documents and data is now available for creating informed decisions. The problem is finding the relevant information to support the decision-making process. Determining gaps in knowledge in order to propose new studies or to determine which proposals to fund for maximum potential is a time-consuming and difficult task. Additionally, available data stores are increasing in complexity; they now may include not only text and numerical data, but also images, sounds, and video recordings. Information visualization specialists at Pacific Northwest National Laboratory (PNNL) have software tools for exploring electronic data stores and for discovering and exploiting relationships within data sets. These provide capabilities for unstructured text explorations, the use of data signatures (a compact format for the essence of a set of scientific data) for visualization (Wong et al 2000), visualizations for multiple query results (Havre et al. 2001), and others (http://www.pnl.gov/infoviz ). We will focus on IN-SPIRE, a MS Windows vision of PNNL’s SPIRE (Spatial Paradigm for Information Retrieval and Exploration). IN-SPIRE was developed to assist information analysts find and discover information in huge masses of text documents.

  18. A BASIS FOR MODIFYING THE TANK 12 COMPOSITE SAMPLING DESIGN

    SciTech Connect (OSTI)

    Shine, G.

    2014-11-25

    The SRR sampling campaign to obtain residual solids material from the Savannah River Site (SRS) Tank Farm Tank 12 primary vessel resulted in obtaining appreciable material in all 6 planned source samples from the mound strata but only in 5 of the 6 planned source samples from the floor stratum. Consequently, the design of the compositing scheme presented in the Tank 12 Sampling and Analysis Plan, Pavletich (2014a), must be revised. Analytical Development of SRNL statistically evaluated the sampling uncertainty associated with using various compositing arrays and splitting one or more samples for compositing. The variance of the simple mean of composite sample concentrations is a reasonable standard to investigate the impact of the following sampling options. Composite Sample Design Option (a). Assign only 1 source sample from the floor stratum and 1 source sample from each of the mound strata to each of the composite samples. Each source sample contributes material to only 1 composite sample. Two source samples from the floor stratum would not be used. Composite Sample Design Option (b). Assign 2 source samples from the floor stratum and 1 source sample from each of the mound strata to each composite sample. This infers that one source sample from the floor must be used twice, with 2 composite samples sharing material from this particular source sample. All five source samples from the floor would be used. Composite Sample Design Option (c). Assign 3 source samples from the floor stratum and 1 source sample from each of the mound strata to each composite sample. This infers that several of the source samples from the floor stratum must be assigned to more than one composite sample. All 5 source samples from the floor would be used. Using fewer than 12 source samples will increase the sampling variability over that of the Basic Composite Sample Design, Pavletich (2013). Considering the impact to the variance of the simple mean of the composite sample concentrations, the recommendation is to construct each sample composite using four or five source samples. Although the variance using 5 source samples per composite sample (Composite Sample Design Option (c)) was slightly less than the variance using 4 source samples per composite sample (Composite Sample Design Option (b)), there is no practical difference between those variances. This does not consider that the measurement error variance, which is the same for all composite sample design options considered in this report, will further dilute any differences. Composite Sample Design Option (a) had the largest variance for the mean concentration in the three composite samples and should be avoided. These results are consistent with Pavletich (2014b) which utilizes a low elevation and a high elevation mound source sample and two floor source samples for each composite sample. Utilizing the four source samples per composite design, Pavletich (2014b) utilizes aliquots of Floor Sample 4 for two composite samples.

  19. Visual Sample Plan

    Energy Science and Technology Software Center (OSTI)

    2007-10-25

    VSP selects the appropriate number and location of environmental samples to ensure that the results of statistical tests performed to provide input to risk decisions have the required confidence and performance. VSP Version 5.0 provides sample-size equations or algorithms needed by specific statistical tests appropriate for specific environmental sampling objectives. It also provides data quality assessment and statistical analysis functions to support evaluation of the data and determine whether the data support decisions regarding sitesmore » suspected of contamination. The easy-to-use program is highly visual and graphic. VSP runs on personal computers with Microsoft Windows operating systems (98, NT, 2000, Millennium Edition, CE, and XP) Designed primarily for project managers and users without expertise in statistics, VSP is applicable to two- and three-dimensional populations to be sampled (e.g., rooms and buildings, surface soil, a defined layer of subsurface soil, water bodies, and other similar applications) for studies of environmental quality. VSP is also applicable for designing sampling plans for assessing chem./rad/bio threat and hazard identification within rooms and buildings, and for designing geophysical surveys for UXO identification.« less

  20. Fluid sampling system

    DOE Patents [OSTI]

    Houck, Edward D.

    1994-01-01

    An fluid sampling system allows sampling of radioactive liquid without spillage. A feed tank is connected to a liquid transfer jet powered by a pumping chamber pressurized by compressed air. The liquid is pumped upwardly into a sampling jet of a venturi design having a lumen with an inlet, an outlet, a constricted middle portion, and a port located above the constricted middle portion. The liquid is passed under pressure through the constricted portion causing its velocity to increase and its pressure to decreased, thereby preventing liquid from escaping. A septum sealing the port can be pierced by a two pointed hollow needle leading into a sample bottle also sealed by a pierceable septum affixed to one end. The bottle is evacuated by flow through the sample jet, cyclic variation in the sampler jet pressure periodically leaves the evacuated bottle with lower pressure than that of the port, thus causing solution to pass into the bottle. The remaining solution in the system is returned to the feed tank via a holding tank.

  1. Fluid sampling system

    DOE Patents [OSTI]

    Houck, E.D.

    1994-10-11

    An fluid sampling system allows sampling of radioactive liquid without spillage. A feed tank is connected to a liquid transfer jet powered by a pumping chamber pressurized by compressed air. The liquid is pumped upwardly into a sampling jet of a venturi design having a lumen with an inlet, an outlet, a constricted middle portion, and a port located above the constricted middle portion. The liquid is passed under pressure through the constricted portion causing its velocity to increase and its pressure to be decreased, thereby preventing liquid from escaping. A septum sealing the port can be pierced by a two pointed hollow needle leading into a sample bottle also sealed by a pierceable septum affixed to one end. The bottle is evacuated by flow through the sample jet, cyclic variation in the sampler jet pressure periodically leaves the evacuated bottle with lower pressure than that of the port, thus causing solution to pass into the bottle. The remaining solution in the system is returned to the feed tank via a holding tank. 4 figs.

  2. Viscous sludge sample collector

    DOE Patents [OSTI]

    Beitel, George A [Richland, WA

    1983-01-01

    A vertical core sample collection system for viscous sludge. A sample tube's upper end has a flange and is attached to a piston. The tube and piston are located in the upper end of a bore in a housing. The bore's lower end leads outside the housing and has an inwardly extending rim. Compressed gas, from a storage cylinder, is quickly introduced into the bore's upper end to rapidly accelerate the piston and tube down the bore. The lower end of the tube has a high sludge entering velocity to obtain a full-length sludge sample without disturbing strata detail. The tube's downward motion is stopped when its upper end flange impacts against the bore's lower end inwardly extending rim.

  3. Text-Alternative Version of Building America Webinar: Research for

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

    Real-World Results | Department of Energy Research for Real-World Results Text-Alternative Version of Building America Webinar: Research for Real-World Results Building America: Research for Real-World Results December 17, 2014 Eric Werling, U.S. Department of Energy, Building America Program Gail: Hello everyone! I am Gail Werren with the National Renewable Energy Laboratory, and I'd like to welcome you to today's webinar hosted by the Building America program. We are excited to have Eric

  4. Solar Energy Education. Renewable energy: a background text. [Includes glossary

    SciTech Connect (OSTI)

    Not Available

    1985-01-01

    Some of the most common forms of renewable energy are presented in this textbook for students. The topics include solar energy, wind power hydroelectric power, biomass ocean thermal energy, and tidal and geothermal energy. The main emphasis of the text is on the sun and the solar energy that it yields. Discussions on the sun's composition and the relationship between the earth, sun and atmosphere are provided. Insolation, active and passive solar systems, and solar collectors are the subtopics included under solar energy. (BCS)

  5. Text-Alternative Version: Maintenance Practices for LED Streetlights |

    Energy Savers [EERE]

    Department of Energy Maintenance Practices for LED Streetlights Text-Alternative Version: Maintenance Practices for LED Streetlights Bruce Kinzey:So again, I want to welcome everyone to another MSSLC webinar. And we have a great one lined up today. At this point everyone is familiar with the fact that the solid-state street lighting is being installed by the thousands, hundreds of thousands in fact, around the country. I think everyone's also pretty familiar with the kinds of energy savings

  6. NREL: Sustainable NREL - Research Support Facility Photos (Text Version)

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

    Research Support Facility Photos (Text Version) Here are photos of the Research Support Facility (RSF). An aerial photo with buildings and homes in the foreground, green hills in the background and blue sky above. The RSF is NREL's newest sustainable building on its permanent campus in Golden, Colorado. Credit: Pat Corkery Photo of an office building with two large wings on either side of a courtyard entryway and a tiled roadway in the foreground. The 222,000 sq. ft. RSF achieved the LEED

  7. Modeling the efficient access of full-text information

    SciTech Connect (OSTI)

    Bernard, M.; Kero, R.; Korp, P.; McCusker-Whiting, M.; Tsur, S.; Dunlap, K.; Johnson, L.

    1996-05-01

    The title of this paper describes a research goal set by many offices within US DOE. This paper reviews efficient full-text searching techniques being developed to better understand and meet this goal. Classical computer human interaction (CHI) approaches provided by commercial information retrieval (IR) engines fail to contextualize information in ways that facilitate timely decision making. Use of advanced CHI techniques (eg, visualization) in combination with deductive database technology augment the weaknesses found in presentation capabilities of IR engines and are discussed. Various techniques employed in a Web-based prototype system currently under development are presented.

  8. SU-E-T-170: Evaluation of Rotational Errors in Proton Therapy Planning of Lung Cancer

    SciTech Connect (OSTI)

    Rana, S; Zhao, L; Ramirez, E; Singh, H; Zheng, Y

    2014-06-01

    Purpose: To investigate the impact of rotational (roll, yaw, and pitch) errors in proton therapy planning of lung cancer. Methods: A lung cancer case treated at our center was used in this retrospective study. The original plan was generated using two proton fields (posterior-anterior and left-lateral) with XiO treatment planning system (TPS) and delivered using uniform scanning proton therapy system. First, the computed tomography (CT) set of original lung treatment plan was re-sampled for rotational (roll, yaw, and pitch) angles ranged from ?5° to +5°, with an increment of 2.5°. Second, 12 new proton plans were generated in XiO using the 12 re-sampled CT datasets. The same beam conditions, isocenter, and devices were used in new treatment plans as in the original plan. All 12 new proton plans were compared with original plan for planning target volume (PTV) coverage and maximum dose to spinal cord (cord Dmax). Results: PTV coverage was reduced in all 12 new proton plans when compared to that of original plan. Specifically, PTV coverage was reduced by 0.03% to 1.22% for roll, by 0.05% to 1.14% for yaw, and by 0.10% to 3.22% for pitch errors. In comparison to original plan, the cord Dmax in new proton plans was reduced by 8.21% to 25.81% for +2.5° to +5° pitch, by 5.28% to 20.71% for +2.5° to +5° yaw, and by 5.28% to 14.47% for ?2.5° to ?5° roll. In contrast, cord Dmax was increased by 3.80% to 3.86% for ?2.5° to ?5° pitch, by 0.63% to 3.25% for ?2.5° to ?5° yaw, and by 3.75% to 4.54% for +2.5° to +5° roll. Conclusion: PTV coverage was reduced by up to 3.22% for rotational error of 5°. The cord Dmax could increase or decrease depending on the direction of rotational error, beam angles, and the location of lung tumor.

  9. Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report

    Reports and Publications (EIA)

    2016-01-01

    This document lists types of potential errors in EIA estimates published in the WNGSR. Survey errors are an unavoidable aspect of data collection. Error is inherent in all collected data, regardless of the source of the data and the care and competence of data collectors. The type and extent of error depends on the type and characteristics of the survey.

  10. ANNULAR IMPACTOR SAMPLING DEVICE

    DOE Patents [OSTI]

    Tait, G.W.C.

    1959-03-31

    A high-rate air sampler capable of sampling alphaemitting particles as small as 0.5 microns is described. The device is a cylindrical shaped cup that fits in front of a suction tube and which has sticky grease coating along its base. Suction forces contaminated air against the periodically monitored particle absorbing grease.

  11. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  12. MPI Runtime Error Detection with MUST: Advances in Deadlock Detection

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

    Hilbrich, Tobias; Protze, Joachim; Schulz, Martin; de Supinski, Bronis R.; Müller, Matthias S.

    2013-01-01

    The widely used Message Passing Interface (MPI) is complex and rich. As a result, application developers require automated tools to avoid and to detect MPI programming errors. We present the Marmot Umpire Scalable Tool (MUST) that detects such errors with significantly increased scalability. We present improvements to our graph-based deadlock detection approach for MPI, which cover future MPI extensions. Our enhancements also check complex MPI constructs that no previous graph-based detection approach handled correctly. Finally, we present optimizations for the processing of MPI operations that reduce runtime deadlock detection overheads. Existing approaches often require 𝒪( p ) analysis timemore » per MPI operation, for p processes. We empirically observe that our improvements lead to sub-linear or better analysis time per operation for a wide range of real world applications.« less

  13. Method and system for reducing errors in vehicle weighing systems

    DOE Patents [OSTI]

    Hively, Lee M.; Abercrombie, Robert K.

    2010-08-24

    A method and system (10, 23) for determining vehicle weight to a precision of <0.1%, uses a plurality of weight sensing elements (23), a computer (10) for reading in weighing data for a vehicle (25) and produces a dataset representing the total weight of a vehicle via programming (40-53) that is executable by the computer (10) for (a) providing a plurality of mode parameters that characterize each oscillatory mode in the data due to movement of the vehicle during weighing, (b) by determining the oscillatory mode at which there is a minimum error in the weighing data; (c) processing the weighing data to remove that dynamical oscillation from the weighing data; and (d) repeating steps (a)-(c) until the error in the set of weighing data is <0.1% in the vehicle weight.

  14. Field Sampling | Open Energy Information

    Open Energy Info (EERE)

    Field Mapping Hand-held X-Ray Fluorescence (XRF) Macrophotography Portable X-Ray Diffraction (XRD) Field Sampling Gas Sampling Gas Flux Sampling Soil Gas Sampling Surface Gas...

  15. Runtime Detection of C-Style Errors in UPC Code

    SciTech Connect (OSTI)

    Pirkelbauer, P; Liao, C; Panas, T; Quinlan, D

    2011-09-29

    Unified Parallel C (UPC) extends the C programming language (ISO C 99) with explicit parallel programming support for the partitioned global address space (PGAS), which provides a global memory space with localized partitions to each thread. Like its ancestor C, UPC is a low-level language that emphasizes code efficiency over safety. The absence of dynamic (and static) safety checks allows programmer oversights and software flaws that can be hard to spot. In this paper, we present an extension of a dynamic analysis tool, ROSE-Code Instrumentation and Runtime Monitor (ROSECIRM), for UPC to help programmers find C-style errors involving the global address space. Built on top of the ROSE source-to-source compiler infrastructure, the tool instruments source files with code that monitors operations and keeps track of changes to the system state. The resulting code is linked to a runtime monitor that observes the program execution and finds software defects. We describe the extensions to ROSE-CIRM that were necessary to support UPC. We discuss complications that arise from parallel code and our solutions. We test ROSE-CIRM against a runtime error detection test suite, and present performance results obtained from running error-free codes. ROSE-CIRM is released as part of the ROSE compiler under a BSD-style open source license.

  16. GUIDE TO CALCULATING TRANSPORT EFFICIENCY OF AEROSOLS IN OCCUPATIONAL AIR SAMPLING SYSTEMS

    SciTech Connect (OSTI)

    Hogue, M.; Hadlock, D.; Thompson, M.; Farfan, E.

    2013-11-12

    This report will present hand calculations for transport efficiency based on aspiration efficiency and particle deposition losses. Because the hand calculations become long and tedious, especially for lognormal distributions of aerosols, an R script (R 2011) will be provided for each element examined. Calculations are provided for the most common elements in a remote air sampling system, including a thin-walled probe in ambient air, straight tubing, bends and a sample housing. One popular alternative approach would be to put such calculations in a spreadsheet, a thorough version of which is shared by Paul Baron via the Aerocalc spreadsheet (Baron 2012). To provide greater transparency and to avoid common spreadsheet vulnerabilities to errors (Burns 2012), this report uses R. The particle size is based on the concept of activity median aerodynamic diameter (AMAD). The AMAD is a particle size in an aerosol where fifty percent of the activity in the aerosol is associated with particles of aerodynamic diameter greater than the AMAD. This concept allows for the simplification of transport efficiency calculations where all particles are treated as spheres with the density of water (1 g?cm-3). In reality, particle densities depend on the actual material involved. Particle geometries can be very complicated. Dynamic shape factors are provided by Hinds (Hinds 1999). Some example factors are: 1.00 for a sphere, 1.08 for a cube, 1.68 for a long cylinder (10 times as long as it is wide), 1.05 to 1.11 for bituminous coal, 1.57 for sand and 1.88 for talc. Revision 1 is made to correct an error in the original version of this report. The particle distributions are based on activity weighting of particles rather than based on the number of particles of each size. Therefore, the mass correction made in the original version is removed from the text and the calculations. Results affected by the change are updated.

  17. NID Copper Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Zhu, Zihua

    2011-09-12

    The current focal point of the nuclear physics program at PNNL is the MAJORANA DEMONSTRATOR, and the follow-on Tonne-Scale experiment, a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). This experiment requires the use of germanium isotopically enriched in 76Ge. The MAJORANA DEMONSTRATOR is a DOE and NSF funded project with a major science impact. The DEMONSTRATOR will utilize 76Ge from Russia, but for the Tonne-Scale experiment it is hoped that an alternate technology, possibly one under development at Nonlinear Ion Dynamics (NID), will be a viable, US-based, lower-cost source of separated material. Samples of separated material from NID require analysis to determine the isotopic distribution and impurities. DOE is funding NID through an SBIR grant for development of their separation technology for application to the Tonne-Scale experiment. The Environmental Molecular Sciences facility (EMSL), a DOE user facility at PNNL, has the required mass spectroscopy instruments for making isotopic measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR and for the development of the future separation technology required for the Tonne-Scale experiment. A sample of isotopically separated copper was provided by NID to PNNL in January 2011 for isotopic analysis as a test of the NID technology. The results of that analysis are reported here. A second sample of isotopically separated copper was provided by NID to PNNL in August 2011 for isotopic analysis as a test of the NID technology. The results of that analysis are also reported here.

  18. Germanium-76 Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Engelhard, Mark H.; Zhu, Zihua

    2011-04-01

    The MAJORANA DEMONSTRATOR is a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). The DEMONSTRATOR will utilize 76Ge from Russia, and the first one gram sample was received from the supplier for analysis on April 24, 2011. The Environmental Molecular Sciences facility, a DOE user facility at PNNL, was used to make the required isotopic and chemical purity measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR. The results of this first analysis are reported here.

  19. Pulsed field sample neutralization

    DOE Patents [OSTI]

    Appelhans, Anthony D.; Dahl, David A.; Delmore, James E.

    1990-01-01

    An apparatus and method for alternating voltage and for varying the rate of extraction during the extraction of secondary particles, resulting in periods when either positive ions, or negative ions and electrons are extracted at varying rates. Using voltage with alternating charge during successive periods to extract particles from materials which accumulate charge opposite that being extracted causes accumulation of surface charge of opposite sign. Charge accumulation can then be adjusted to a ratio which maintains a balance of positive and negative charge emission, thus maintaining the charge neutrality of the sample.

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Water Sampling at the Salmon, Mississippi, Site March 2014 Approved for public release; further dissemination unlimited LMS/SAL/S00413 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/bridge Available for a processing fee to U.S.

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater Sampling at the Central Nevada Test Area February 2015 LMS/CNT/S01214 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its contractors, in

  2. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Groundwater, Surface Water, Produced Water, and Natural Gas Sampling at the Gasbuggy, New Mexico, Site October 2014 LMS/GSB/S00614 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S.

  3. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Rio Blanco, Colorado, Site October 2014 LMS/RBL/S00514 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its contractors, in

  4. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Rio Blanco, Colorado, Site October 2015 LMS/RBL/S00515 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its contractors, in

  5. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Produced Water Sampling at the Rulison, Colorado, Site May 2015 LMS/RUL/S00115 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its contractors, in paper,

  6. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Groundwater and Surface Water Sampling at the Rulison, Colorado, Site October 2015 LMS/RUL/S00515 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its

  7. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Natural Gas and Produced Water Sampling at the Rulison, Colorado, Site November 2014 LMS/RUL/S00714 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its

  8. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Produced Water Sampling at the Rulison, Colorado, Site January 2016 LMS/RUL/S00915 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its contractors, in

  9. Stack sampling apparatus

    DOE Patents [OSTI]

    Lind, Randall F; Lloyd, Peter D; Love, Lonnie J; Noakes, Mark W; Pin, Francois G; Richardson, Bradley S; Rowe, John C

    2014-09-16

    An apparatus for obtaining samples from a structure includes a support member, at least one stabilizing member, and at least one moveable member. The stabilizing member has a first portion coupled to the support member and a second portion configured to engage with the structure to restrict relative movement between the support member and the structure. The stabilizing member is radially expandable from a first configuration where the second portion does not engage with a surface of the structure to a second configuration where the second portion engages with the surface of the structure.

  10. Post-Award Deliverables Sample (Part 2 of Sample Deliverables...

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

    J-4) Post-Award Deliverables Sample (Part 2 of Sample Deliverables for Task Orders, IDIQ Attachment. J-4) Document offers a post-award deliverables sample for an energy savings ...

  11. Shared dosimetry error in epidemiological dose-response analyses

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

    Stram, Daniel O.; Preston, Dale L.; Sokolnikov, Mikhail; Napier, Bruce; Kopecky, Kenneth J.; Boice, John; Beck, Harold; Till, John; Bouville, Andre; Zeeb, Hajo

    2015-03-23

    Radiation dose reconstruction systems for large-scale epidemiological studies are sophisticated both in providing estimates of dose and in representing dosimetry uncertainty. For example, a computer program was used by the Hanford Thyroid Disease Study to provide 100 realizations of possible dose to study participants. The variation in realizations reflected the range of possible dose for each cohort member consistent with the data on dose determinates in the cohort. Another example is the Mayak Worker Dosimetry System 2013 which estimates both external and internal exposures and provides multiple realizations of "possible" dose history to workers given dose determinants. This paper takesmore » up the problem of dealing with complex dosimetry systems that provide multiple realizations of dose in an epidemiologic analysis. In this paper we derive expected scores and the information matrix for a model used widely in radiation epidemiology, namely the linear excess relative risk (ERR) model that allows for a linear dose response (risk in relation to radiation) and distinguishes between modifiers of background rates and of the excess risk due to exposure. We show that treating the mean dose for each individual (calculated by averaging over the realizations) as if it was true dose (ignoring both shared and unshared dosimetry errors) gives asymptotically unbiased estimates (i.e. the score has expectation zero) and valid tests of the null hypothesis that the ERR slope β is zero. Although the score is unbiased the information matrix (and hence the standard errors of the estimate of β) is biased for β≠0 when ignoring errors in dose estimates, and we show how to adjust the information matrix to remove this bias, using the multiple realizations of dose. The use of these methods in the context of several studies including, the Mayak Worker Cohort, and the U.S. Atomic Veterans Study, is discussed.« less

  12. Shared dosimetry error in epidemiological dose-response analyses

    SciTech Connect (OSTI)

    Stram, Daniel O.; Preston, Dale L.; Sokolnikov, Mikhail; Napier, Bruce; Kopecky, Kenneth J.; Boice, John; Beck, Harold; Till, John; Bouville, Andre; Zeeb, Hajo

    2015-03-23

    Radiation dose reconstruction systems for large-scale epidemiological studies are sophisticated both in providing estimates of dose and in representing dosimetry uncertainty. For example, a computer program was used by the Hanford Thyroid Disease Study to provide 100 realizations of possible dose to study participants. The variation in realizations reflected the range of possible dose for each cohort member consistent with the data on dose determinates in the cohort. Another example is the Mayak Worker Dosimetry System 2013 which estimates both external and internal exposures and provides multiple realizations of "possible" dose history to workers given dose determinants. This paper takes up the problem of dealing with complex dosimetry systems that provide multiple realizations of dose in an epidemiologic analysis. In this paper we derive expected scores and the information matrix for a model used widely in radiation epidemiology, namely the linear excess relative risk (ERR) model that allows for a linear dose response (risk in relation to radiation) and distinguishes between modifiers of background rates and of the excess risk due to exposure. We show that treating the mean dose for each individual (calculated by averaging over the realizations) as if it was true dose (ignoring both shared and unshared dosimetry errors) gives asymptotically unbiased estimates (i.e. the score has expectation zero) and valid tests of the null hypothesis that the ERR slope ? is zero. Although the score is unbiased the information matrix (and hence the standard errors of the estimate of ?) is biased for ??0 when ignoring errors in dose estimates, and we show how to adjust the information matrix to remove this bias, using the multiple realizations of dose. The use of these methods in the context of several studies including, the Mayak Worker Cohort, and the U.S. Atomic Veterans Study, is discussed.

  13. Error-field penetration in reversed magnetic shear configurations

    SciTech Connect (OSTI)

    Wang, H. H.; Wang, Z. X.; Wang, X. Q. [MOE Key Laboratory of Materials Modification by Beams of the Ministry of Education, School of Physics and Optoelectronic Engineering, Dalian University of Technology, Dalian 116024 (China)] [MOE Key Laboratory of Materials Modification by Beams of the Ministry of Education, School of Physics and Optoelectronic Engineering, Dalian University of Technology, Dalian 116024 (China); Wang, X. G. [School of Physics, Peking University, Beijing 100871 (China)] [School of Physics, Peking University, Beijing 100871 (China)

    2013-06-15

    Error-field penetration in reversed magnetic shear (RMS) configurations is numerically investigated by using a two-dimensional resistive magnetohydrodynamic model in slab geometry. To explore different dynamic processes in locked modes, three equilibrium states are adopted. Stable, marginal, and unstable current profiles for double tearing modes are designed by varying the current intensity between two resonant surfaces separated by a certain distance. Further, the dynamic characteristics of locked modes in the three RMS states are identified, and the relevant physics mechanisms are elucidated. The scaling behavior of critical perturbation value with initial plasma velocity is numerically obtained, which obeys previously established relevant analytical theory in the viscoresistive regime.

  14. Fluid sampling tool

    DOE Patents [OSTI]

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

    1999-05-25

    A fluid sampling tool for sampling fluid from a container. The tool has a fluid collecting portion which is drilled into the container wall, thereby affixing it to the wall. The tool may have a fluid extracting section which withdraws fluid collected by the fluid collecting section. The fluid collecting section has a fluted shank with an end configured to drill a hole into a container wall. The shank has a threaded portion for tapping the borehole. The shank is threadably engaged to a cylindrical housing having an inner axial passageway sealed at one end by a septum. A flexible member having a cylindrical portion and a bulbous portion is provided. The housing can be slid into an inner axial passageway in the cylindrical portion and sealed to the flexible member. The bulbous portion has an outer lip defining an opening. The housing is clamped into the chuck of a drill, the lip of the bulbous section is pressed against a container wall until the shank touches the wall, and the user operates the drill. Wall shavings (kerf) are confined in a chamber formed in the bulbous section as it folds when the shank advances inside the container. After sufficient advancement of the shank, an o-ring makes a seal with the container wall.

  15. Fluid sampling tool

    DOE Patents [OSTI]

    Garcia, A.R.; Johnston, R.G.; Martinez, R.K.

    1999-05-25

    A fluid sampling tool is described for sampling fluid from a container. The tool has a fluid collecting portion which is drilled into the container wall, thereby affixing it to the wall. The tool may have a fluid extracting section which withdraws fluid collected by the fluid collecting section. The fluid collecting section has a fluted shank with an end configured to drill a hole into a container wall. The shank has a threaded portion for tapping the borehole. The shank is threadably engaged to a cylindrical housing having an inner axial passageway sealed at one end by a septum. A flexible member having a cylindrical portion and a bulbous portion is provided. The housing can be slid into an inner axial passageway in the cylindrical portion and sealed to the flexible member. The bulbous portion has an outer lip defining an opening. The housing is clamped into the chuck of a drill, the lip of the bulbous section is pressed against a container wall until the shank touches the wall, and the user operates the drill. Wall shavings (kerf) are confined in a chamber formed in the bulbous section as it folds when the shank advances inside the container. After sufficient advancement of the shank, an o-ring makes a seal with the container wall. 6 figs.

  16. NID Copper Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Zhu, Zihua

    2011-02-01

    The current focal point of the nuclear physics program at PNNL is the MAJORANA DEMONSTRATOR, and the follow-on Tonne-Scale experiment, a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). This experiment requires the use of germanium isotopically enriched in 76Ge. The DEMONSTRATOR will utilize 76Ge from Russia, but for the Tonne-Scale experiment it is hoped that an alternate technology under development at Nonlinear Ion Dynamics (NID) will be a viable, US-based, lower-cost source of separated material. Samples of separated material from NID require analysis to determine the isotopic distribution and impurities. The MAJORANA DEMONSTRATOR is a DOE and NSF funded project with a major science impact. DOE is funding NID through an SBIR grant for development of their separation technology for application to the Tonne-Scale experiment. The Environmental Molecular Sciences facility (EMSL), a DOE user facility at PNNL, has the required mass spectroscopy instruments for making these isotopic measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR and for the development of the future separation technology required for the Tonne-Scale experiment. A sample of isotopically separated copper was provided by NID to PNNL for isotopic analysis as a test of the NID technology. The results of that analysis are reported here.

  17. Sample introducing apparatus and sample modules for mass spectrometer

    DOE Patents [OSTI]

    Thompson, Cyril V.; Wise, Marcus B.

    1993-01-01

    An apparatus for introducing gaseous samples from a wide range of environmental matrices into a mass spectrometer for analysis of the samples is described. Several sample preparing modules including a real-time air monitoring module, a soil/liquid purge module, and a thermal desorption module are individually and rapidly attachable to the sample introducing apparatus for supplying gaseous samples to the mass spectrometer. The sample-introducing apparatus uses a capillary column for conveying the gaseous samples into the mass spectrometer and is provided with an open/split interface in communication with the capillary and a sample archiving port through which at least about 90 percent of the gaseous sample in a mixture with an inert gas that was introduced into the sample introducing apparatus is separated from a minor portion of the mixture entering the capillary discharged from the sample introducing apparatus.

  18. Sample introducing apparatus and sample modules for mass spectrometer

    DOE Patents [OSTI]

    Thompson, C.V.; Wise, M.B.

    1993-12-21

    An apparatus for introducing gaseous samples from a wide range of environmental matrices into a mass spectrometer for analysis of the samples is described. Several sample preparing modules including a real-time air monitoring module, a soil/liquid purge module, and a thermal desorption module are individually and rapidly attachable to the sample introducing apparatus for supplying gaseous samples to the mass spectrometer. The sample-introducing apparatus uses a capillary column for conveying the gaseous samples into the mass spectrometer and is provided with an open/split interface in communication with the capillary and a sample archiving port through which at least about 90 percent of the gaseous sample in a mixture with an inert gas that was introduced into the sample introducing apparatus is separated from a minor portion of the mixture entering the capillary discharged from the sample introducing apparatus. 5 figures.

  19. Soil sampling kit and a method of sampling therewith

    DOE Patents [OSTI]

    Thompson, C.V.

    1991-02-05

    A soil sampling device and a sample containment device for containing a soil sample is disclosed. In addition, a method for taking a soil sample using the soil sampling device and soil sample containment device to minimize the loss of any volatile organic compounds contained in the soil sample prior to analysis is disclosed. The soil sampling device comprises two close fitting, longitudinal tubular members of suitable length, the inner tube having the outward end closed. With the inner closed tube withdrawn a selected distance, the outer tube can be inserted into the ground or other similar soft material to withdraw a sample of material for examination. The inner closed end tube controls the volume of the sample taken and also serves to eject the sample. The soil sample containment device has a sealing member which is adapted to attach to an analytical apparatus which analyzes the volatile organic compounds contained in the sample. The soil sampling device in combination with the soil sample containment device allows an operator to obtain a soil sample containing volatile organic compounds and minimizing the loss of the volatile organic compounds prior to analysis of the soil sample for the volatile organic compounds. 11 figures.

  20. Soil sampling kit and a method of sampling therewith

    DOE Patents [OSTI]

    Thompson, Cyril V.

    1991-01-01

    A soil sampling device and a sample containment device for containing a soil sample is disclosed. In addition, a method for taking a soil sample using the soil sampling device and soil sample containment device to minimize the loss of any volatile organic compounds contained in the soil sample prior to analysis is disclosed. The soil sampling device comprises two close fitting, longitudinal tubular members of suitable length, the inner tube having the outward end closed. With the inner closed tube withdrawn a selected distance, the outer tube can be inserted into the ground or other similar soft material to withdraw a sample of material for examination. The inner closed end tube controls the volume of the sample taken and also serves to eject the sample. The soil sample containment device has a sealing member which is adapted to attach to an analytical apparatus which analyzes the volatile organic compounds contained in the sample. The soil sampling device in combination with the soil sample containment device allow an operator to obtain a soil sample containing volatile organic compounds and minimizing the loss of the volatile organic compounds prior to analysis of the soil sample for the volatile organic compounds.

  1. Fluid sampling apparatus and method

    DOE Patents [OSTI]

    Yeamans, David R.

    1998-01-01

    Incorporation of a bellows in a sampling syringe eliminates ingress of contaminants, permits replication of amounts and compression of multiple sample injections, and enables remote sampling for off-site analysis.

  2. Fluid sampling apparatus and method

    DOE Patents [OSTI]

    Yeamans, D.R.

    1998-02-03

    Incorporation of a bellows in a sampling syringe eliminates ingress of contaminants, permits replication of amounts and compression of multiple sample injections, and enables remote sampling for off-site analysis. 3 figs.

  3. Fluid sampling tool

    DOE Patents [OSTI]

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

    2001-09-25

    The invention includes a rotatable tool for collecting fluid through the wall of a container. The tool includes a fluid collection section with a cylindrical shank having an end portion for drilling a hole in the container wall when the tool is rotated, and a threaded portion for tapping the hole in the container wall. A passageway in the shank in communication with at least one radial inlet hole in the drilling end and an opening at the end of the shank is adapted to receive fluid from the container. The tool also includes a cylindrical chamber affixed to the end of the shank opposite to the drilling portion thereof for receiving and storing fluid passing through the passageway. The tool also includes a flexible, deformable gasket that provides a fluid-tight chamber to confine kerf generated during the drilling and tapping of the hole. The invention also includes a fluid extractor section for extracting fluid samples from the fluid collecting section.

  4. SU-E-T-374: Sensitivity of ArcCHECK to Tomotherapy Delivery Errors: Dependence On Analysis Technique

    SciTech Connect (OSTI)

    Templeton, A; Chu, J; Turian, J

    2014-06-01

    Purpose: ArcCHECK (Sun Nuclear) is a cylindrical diode array detector allowing three-dimensional sampling of dose, particularly useful in treatment delivery QA of helical tomotherapy. Gamma passing rate is a common method of analyzing results from diode arrays, but is less intuitive in 3D with complex measured dose distributions. This study explores the sensitivity of gamma passing rate to choice of analysis technique in the context of its ability to detect errors introduced into the treatment delivery. Methods: Nine treatment plans were altered to introduce errors in: couch speed, gantry/sonogram synchronization, and leaf open time. Each plan was then delivered to ArcCHECK in each of the following arrangements: “offset,” when the high dose area of the plan is delivered to the side of the phantom so that some diode measurements will be on the order of the prescription dose, and “centered,” when the high dose is in the center of the phantom where an ion chamber measurement may be acquired, but the diode measurements are in the mid to low-dose region at the periphery of the plan. Gamma analysis was performed at 3%/3mm tolerance and both global and local gamma criteria. The threshold of detectability for each error type was calculated as the magnitude at which the gamma passing rate drops below 90%. Results: Global gamma criteria reduced the sensitivity in the offset arrangement (from 2.3% to 4.5%, 8° to 21°, and 3ms to 8ms for couch-speed decrease, gantry-error, and leaf-opening increase, respectively). The centered arrangement detected changes at 3.3%, 5°, and 4ms with smaller variation. Conclusion: Each arrangement has advantages; offsetting allows more sampling of the higher dose region, while centering allows an ion chamber measurement and potentially better use of tools such as 3DVH, at the cost of positioning more of the diodes in the sometimes noisy mid-dose region.

  5. Rock Sampling | Open Energy Information

    Open Energy Info (EERE)

    resource at depth. These hand samples can be collected using a rock hammer or sledge. Data Access and Acquisition Under a detailed investigation, a systematic sampling procedure...

  6. Water Sampling | Open Energy Information

    Open Energy Info (EERE)

    Water Sampling Details Activities (63) Areas (51) Regions (5) NEPA(2) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Field Sampling...

  7. T-545: RealPlayer Heap Corruption Error in 'vidplin.dll' Lets...

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

    T-545: RealPlayer Heap Corruption Error in 'vidplin.dll' Lets Remote Users Execute Arbitrary Code January 28, 2011 - 7:21am Addthis PROBLEM: RealPlayer Heap Corruption Error in ...

  8. V-194: Citrix XenServer Memory Management Error Lets Local Administrat...

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

    XenServer Memory Management Error Lets Local Administrative Users on the Guest Gain Access on the Host V-194: Citrix XenServer Memory Management Error Lets Local Administrative...

  9. Sample holder with optical features

    DOE Patents [OSTI]

    Milas, Mirko; Zhu, Yimei; Rameau, Jonathan David

    2013-07-30

    A sample holder for holding a sample to be observed for research purposes, particularly in a transmission electron microscope (TEM), generally includes an external alignment part for directing a light beam in a predetermined beam direction, a sample holder body in optical communication with the external alignment part and a sample support member disposed at a distal end of the sample holder body opposite the external alignment part for holding a sample to be analyzed. The sample holder body defines an internal conduit for the light beam and the sample support member includes a light beam positioner for directing the light beam between the sample holder body and the sample held by the sample support member.

  10. T-719:Apache mod_proxy_ajp HTTP Processing Error Lets Remote Users Deny Service

    Broader source: Energy.gov [DOE]

    A remote user can cause the backend server to remain in an error state until the retry timeout expires.

  11. Resolved: "error while loading shared libraries: libalpslli.so.0" with

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

    serial codes on login nodes "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 login nodes December 13, 2013 by Helen He Symptom: Dynamic executables built with compiler wrappers running directly on the external login nodes are getting the following error message: % ftn -dynamic -o testf testf.f % ./testf ./testf: error while loading shared

  12. Tokamak error fields and locked modes (Technical Report) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Tokamak error fields and locked modes Citation Details In-Document Search Title: Tokamak error fields and locked modes The effects of externally applied, resonant magnetic field perturbations on tokamak plasmas are discussed. An analytical model assuming tokamak ordering and narrow islands clarifies the conditions under which error fields are amplified or diminished by self- consistent effects. A strong amplification of error fields near marginal tearing stability is found to broaden the range

  13. Error field penetration and locking to the backward propagating wave

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

    Finn, John M.; Cole, Andrew J.; Brennan, Dylan P.

    2015-12-30

    In this letter we investigate error field penetration, or locking, behavior in plasmas having stable tearing modes with finite real frequencies wr in the plasma frame. In particular, we address the fact that locking can drive a significant equilibrium flow. We show that this occurs at a velocity slightly above v = wr/k, corresponding to the interaction with a backward propagating tearing mode in the plasma frame. Results are discussed for a few typical tearing mode regimes, including a new derivation showing that the existence of real frequencies occurs for viscoresistive tearing modes, in an analysis including the effects ofmore » pressure gradient, curvature and parallel dynamics. The general result of locking to a finite velocity flow is applicable to a wide range of tearing mode regimes, indeed any regime where real frequencies occur.« less

  14. Error field penetration and locking to the backward propagating wave

    SciTech Connect (OSTI)

    Finn, John M.; Cole, Andrew J.; Brennan, Dylan P.

    2015-12-30

    In this letter we investigate error field penetration, or locking, behavior in plasmas having stable tearing modes with finite real frequencies wr in the plasma frame. In particular, we address the fact that locking can drive a significant equilibrium flow. We show that this occurs at a velocity slightly above v = wr/k, corresponding to the interaction with a backward propagating tearing mode in the plasma frame. Results are discussed for a few typical tearing mode regimes, including a new derivation showing that the existence of real frequencies occurs for viscoresistive tearing modes, in an analysis including the effects of pressure gradient, curvature and parallel dynamics. The general result of locking to a finite velocity flow is applicable to a wide range of tearing mode regimes, indeed any regime where real frequencies occur.

  15. Coordinated joint motion control system with position error correction

    DOE Patents [OSTI]

    Danko, George L.

    2016-04-05

    Disclosed are an articulated hydraulic machine supporting, control system and control method for same. The articulated hydraulic machine has an end effector for performing useful work. The control system is capable of controlling the end effector for automated movement along a preselected trajectory. The control system has a position error correction system to correct discrepancies between an actual end effector trajectory and a desired end effector trajectory. The correction system can employ one or more absolute position signals provided by one or more acceleration sensors supported by one or more movable machine elements. Good trajectory positioning and repeatability can be obtained. A two joystick controller system is enabled, which can in some cases facilitate the operator's task and enhance their work quality and productivity.

  16. Coordinated joint motion control system with position error correction

    DOE Patents [OSTI]

    Danko, George

    2011-11-22

    Disclosed are an articulated hydraulic machine supporting, control system and control method for same. The articulated hydraulic machine has an end effector for performing useful work. The control system is capable of controlling the end effector for automated movement along a preselected trajectory. The control system has a position error correction system to correct discrepancies between an actual end effector trajectory and a desired end effector trajectory. The correction system can employ one or more absolute position signals provided by one or more acceleration sensors supported by one or more movable machine elements. Good trajectory positioning and repeatability can be obtained. A two-joystick controller system is enabled, which can in some cases facilitate the operator's task and enhance their work quality and productivity.

  17. Network and Ensemble Enabled Entity Extraction in Informal Text (NEEEEIT) final report.

    SciTech Connect (OSTI)

    Kegelmeyer, W. Philip,; Shead, Timothy M.; Dunlavy, Daniel M.

    2013-09-01

    This SAND report summarizes the activities and outcomes of the Network and Ensemble Enabled Entity Extraction in Informal Text (NEEEEIT) LDRD project, which addressed improving the accuracy of conditional random fields for named entity recognition through the use of ensemble methods. Conditional random fields (CRFs) are powerful, flexible probabilistic graphical models often used in supervised machine learning prediction tasks associated with sequence data. Specifically, they are currently the best known option for named entity recognition (NER) in text. NER is the process of labeling words in sentences with semantic identifiers such as %E2%80%9Cperson%E2%80%9D, %E2%80%9Cdate%E2%80%9D, or %E2%80%9Corganization%E2%80%9D. Ensembles are a powerful statistical inference meta-method that can make most supervised machine learning methods more accurate, faster, or both. Ensemble methods are normally best suited to %E2%80%9Cunstable%E2%80%9D classification methods with high variance error. CRFs applied to NER are very stable classifiers, and as such, would initially seem to be resistant to the benefits of ensembles. The NEEEEIT project nonetheless worked out how to generalize ensemble methods to CRFs, demonstrated that accuracy can indeed be improved by proper use of ensemble techniques, and generated a new CRF code, %E2%80%9CpyCrust%E2%80%9D and a surrounding application environment, %E2%80%9CNEEEEIT%E2%80%9D, which implement those improvements. The summary practical advice that results from this work, then, is: When making use of CRFs for label prediction tasks in machine learning, use the pyCrust CRF base classifier with NEEEEIT's bagging ensemble implementation. (If those codes are not available, then de-stablize your CRF code via every means available, and generate the bagged training sets by hand.) If you have ample pre-processing computational time, do %E2%80%9Cforward feature selection%E2%80%9D to find and remove counter-productive feature classes. Conversely, if pre-processing time is limited, use NEEEEIT's %E2%80%9Cedited clone%E2%80%9D pyCrust mechanism, along with a more modest use of bagging, to generate ensembles much more quickly.

  18. Improved Characterization of Transmitted Wavefront Error on CADB Epoxy-Free Bonded Solid State Laser Materials

    SciTech Connect (OSTI)

    Bayramian, A

    2010-12-09

    Current state-of-the-art and next generation laser systems - such as those used in the NIF and LIFE experiments at LLNL - depend on ever larger optical elements. The need for wide aperture optics that are tolerant of high power has placed many demands on material growers for such diverse materials as crystalline sapphire, quartz, and laser host materials. For such materials, it is either prohibitively expensive or even physically impossible to fabricate monolithic pieces with the required size. In these cases, it is preferable to optically bond two or more elements together with a technique such as Chemically Activated Direct Bonding (CADB{copyright}). CADB is an epoxy-free bonding method that produces bulk-strength bonded samples with negligible optical loss and excellent environmental robustness. The authors have demonstrated CADB for a variety of different laser glasses and crystals. For this project, they will bond quartz samples together to determine the suitability of the resulting assemblies for large aperture high power laser optics. The assemblies will be evaluated in terms of their transmitted wavefront error, and other optical properties.

  19. Sampling Report for May-June, 2014 WIPP Samples

    Office of Environmental Management (EM)

    UNCLASSIFIED iii Table of Contents WIPP Panel 7 Sampling May-June, 2014 ... 15 LLNL-TR-667001 Section 1 WIPP Panel 7 Sampling May-June, 2014 1. Summary of ...

  20. SNS Sample Activation Calculator Flux Recommendations and Validation

    SciTech Connect (OSTI)

    McClanahan, Tucker C.; Gallmeier, Franz X.; Iverson, Erik B.; Lu, Wei

    2015-02-01

    The Spallation Neutron Source (SNS) at Oak Ridge National Laboratory (ORNL) uses the Sample Activation Calculator (SAC) to calculate the activation of a sample after the sample has been exposed to the neutron beam in one of the SNS beamlines. The SAC webpage takes user inputs (choice of beamline, the mass, composition and area of the sample, irradiation time, decay time, etc.) and calculates the activation for the sample. In recent years, the SAC has been incorporated into the user proposal and sample handling process, and instrument teams and users have noticed discrepancies in the predicted activation of their samples. The Neutronics Analysis Team validated SAC by performing measurements on select beamlines and confirmed the discrepancies seen by the instrument teams and users. The conclusions were that the discrepancies were a result of a combination of faulty neutron flux spectra for the instruments, improper inputs supplied by SAC (1.12), and a mishandling of cross section data in the Sample Activation Program for Easy Use (SAPEU) (1.1.2). This report focuses on the conclusion that the SAPEU (1.1.2) beamline neutron flux spectra have errors and are a significant contributor to the activation discrepancies. The results of the analysis of the SAPEU (1.1.2) flux spectra for all beamlines will be discussed in detail. The recommendations for the implementation of improved neutron flux spectra in SAPEU (1.1.3) are also discussed.

  1. Specified assurance level sampling procedure

    SciTech Connect (OSTI)

    Willner, O.

    1980-11-01

    In the nuclear industry design specifications for certain quality characteristics require that the final product be inspected by a sampling plan which can demonstrate product conformance to stated assurance levels. The Specified Assurance Level (SAL) Sampling Procedure has been developed to permit the direct selection of attribute sampling plans which can meet commonly used assurance levels. The SAL procedure contains sampling plans which yield the minimum sample size at stated assurance levels. The SAL procedure also provides sampling plans with acceptance numbers ranging from 0 to 10, thus, making available to the user a wide choice of plans all designed to comply with a stated assurance level.

  2. Groundwater Sampling | Open Energy Information

    Open Energy Info (EERE)

    500 mL), whereas analysis for stable isotopes that are present in greater abundance in natural samples requires less water to be sampled by a full order of magnitude (approximately...

  3. Geoscience Laboratory | Sample Preparation Laboratories

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

    preparation and other relatively straight-forward laboratory manipulations. These include buffer preparations, solid sample grinding, solution concentration, filtration, and...

  4. Sample Questions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Print Text Size: A A A FeedbackShare Page Below are sample questions used at the regional competitions in previous years. Please note: as fields of science advance, the answers to ...

  5. SU-E-T-195: Gantry Angle Dependency of MLC Leaf Position Error

    SciTech Connect (OSTI)

    Ju, S; Hong, C; Kim, M; Chung, K; Kim, J; Han, Y; Ahn, S; Chung, S; Shin, E; Shin, J; Kim, H; Kim, D; Choi, D

    2014-06-01

    Purpose: The aim of this study was to investigate the gantry angle dependency of the multileaf collimator (MLC) leaf position error. Methods: An automatic MLC quality assurance system (AutoMLCQA) was developed to evaluate the gantry angle dependency of the MLC leaf position error using an electronic portal imaging device (EPID). To eliminate the EPID position error due to gantry rotation, we designed a reference maker (RM) that could be inserted into the wedge mount. After setting up the EPID, a reference image was taken of the RM using an open field. Next, an EPID-based picket-fence test (PFT) was performed without the RM. These procedures were repeated at every 45° intervals of the gantry angle. A total of eight reference images and PFT image sets were analyzed using in-house software. The average MLC leaf position error was calculated at five pickets (-10, -5, 0, 5, and 10 cm) in accordance with general PFT guidelines using in-house software. This test was carried out for four linear accelerators. Results: The average MLC leaf position errors were within the set criterion of <1 mm (actual errors ranged from -0.7 to 0.8 mm) for all gantry angles, but significant gantry angle dependency was observed in all machines. The error was smaller at a gantry angle of 0° but increased toward the positive direction with gantry angle increments in the clockwise direction. The error reached a maximum value at a gantry angle of 90° and then gradually decreased until 180°. In the counter-clockwise rotation of the gantry, the same pattern of error was observed but the error increased in the negative direction. Conclusion: The AutoMLCQA system was useful to evaluate the MLC leaf position error for various gantry angles without the EPID position error. The Gantry angle dependency should be considered during MLC leaf position error analysis.

  6. Hydrogeology of the 200 Areas low-level burial grounds: An interim report: Volume 1, Text

    SciTech Connect (OSTI)

    Last, G.V.; Bjornstad, B.N.; Bergeron, M.P.; Wallace, D.W.; Newcomer, D.R.; Schramke, J.A.; Chamness, M.A.; Cline, C.S.; Airhart, S.P.; Wilbur, J.S.

    1989-01-01

    This report presents information derived from the installation of 35 ground-water monitoring wells around six low-level radioactive/hazardous waste burial grounds located in the 200 Areas of the Hanford Site in southeastern Washington State. This information was collected between May 20, 1987 and August 1, 1988. The contents of this report have been divided into two volumes. This volume contains the main text. Volume 2 contains the appendixes, including data and supporting information that verify content and results found in the main text. This report documents information collected by the Pacific Northwest Laboratory at the request of Westinghouse Hanford Company. Presented in this report are the preliminary interpretations of the hydrogeologic environment of six low-level burial grounds, which comprise four waste management areas (WMAs) located in the 200 Areas of the Hanford Site. This information and its accompanying interpretations were derived from sampling and testing activities associated with the construction of 35 ground-water monitoring wells as well as a multitude of previously existing boreholes. The new monitoring wells were installed as part of a ground-water monitoring program initiated in 1986. This ground-water monitoring program is based on requirements for interim status facilities in compliance with the Resource Conservation and Recovery Act (1976).

  7. Matisse: A Visual Analytics System for Exploring Emotion Trends in Social Media Text Streams

    SciTech Connect (OSTI)

    Steed, Chad A; Drouhard, Margaret MEG G; Beaver, Justin M; Pyle, Joshua M; BogenII, Paul L.

    2015-01-01

    Dynamically mining textual information streams to gain real-time situational awareness is especially challenging with social media systems where throughput and velocity properties push the limits of a static analytical approach. In this paper, we describe an interactive visual analytics system, called Matisse, that aids with the discovery and investigation of trends in streaming text. Matisse addresses the challenges inherent to text stream mining through the following technical contributions: (1) robust stream data management, (2) automated sentiment/emotion analytics, (3) interactive coordinated visualizations, and (4) a flexible drill-down interaction scheme that accesses multiple levels of detail. In addition to positive/negative sentiment prediction, Matisse provides fine-grained emotion classification based on Valence, Arousal, and Dominance dimensions and a novel machine learning process. Information from the sentiment/emotion analytics are fused with raw data and summary information to feed temporal, geospatial, term frequency, and scatterplot visualizations using a multi-scale, coordinated interaction model. After describing these techniques, we conclude with a practical case study focused on analyzing the Twitter sample stream during the week of the 2013 Boston Marathon bombings. The case study demonstrates the effectiveness of Matisse at providing guided situational awareness of significant trends in social media streams by orchestrating computational power and human cognition.

  8. SU-E-J-235: Varian Portal Dosimetry Accuracy at Detecting Simulated Delivery Errors

    SciTech Connect (OSTI)

    Gordon, J; Bellon, M; Barton, K; Gulam, M; Chetty, I

    2014-06-01

    Purpose: To use receiver operating characteristic (ROC) analysis to quantify the Varian Portal Dosimetry (VPD) application's ability to detect delivery errors in IMRT fields. Methods: EPID and VPD were calibrated/commissioned using vendor-recommended procedures. Five clinical plans comprising 56 modulated fields were analyzed using VPD. Treatment sites were: pelvis, prostate, brain, orbit, and base of tongue. Delivery was on a Varian Trilogy linear accelerator at 6MV using a Millenium120 multi-leaf collimator. Image pairs (VPD-predicted and measured) were exported in dicom format. Each detection test imported an image pair into Matlab, optionally inserted a simulated error (rectangular region with intensity raised or lowered) into the measured image, performed 3%/3mm gamma analysis, and saved the gamma distribution. For a given error, 56 negative tests (without error) were performed, one per 56 image pairs. Also, 560 positive tests (with error) with randomly selected image pairs and randomly selected in-field error location. Images were classified as errored (or error-free) if percent pixels with ?errors of different sizes. VPD was considered to reliably detect an error if images were correctly classified as errored or error-free at least 95% of the time, for some ?+? combination. Results: 20mm{sup 2} errors with intensity altered by ?20% could be reliably detected, as could 10mm{sup 2} errors with intensity was altered by ?50%. Errors with smaller size or intensity change could not be reliably detected. Conclusion: Varian Portal Dosimetry using 3%/3mm gamma analysis is capable of reliably detecting only those fluence errors that exceed the stated sizes. Images containing smaller errors can pass mathematical analysis, though may be detected by visual inspection. This work was not funded by Varian Oncology Systems. Some authors have other work partly funded by Varian Oncology Systems.

  9. Sampling Report for August 15, 2014 WIPP Samples

    Office of Environmental Management (EM)

    UNCLASSIFIED iii Table of Contents WIPP Panel 7 Sampling August 15, 2014 ... 3. Photograph of current configuration of Panel 7 from the 50 ft. boom ...

  10. Sampling Report for May-June, 2014 WIPP Samples

    Office of Environmental Management (EM)

    1 L L N L - X X X X - X X X X X Sampling Report for May- June, 2014 WIPP Samples UNCLASSIFIED Forensic Science Center January 8, 2015 Sampling Report for May-June, 2014 WIPP Samples Lawrence Livermore National Laboratory UNCLASSIFIED ii Disclaimer This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or

  11. The impact of response measurement error on the analysis of designed experiments

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

    Anderson-Cook, Christine Michaela; Hamada, Michael Scott; Burr, Thomas Lee

    2015-12-21

    This study considers the analysis of designed experiments when there is measurement error in the true response or so-called response measurement error. We consider both additive and multiplicative response measurement errors. Through a simulation study, we investigate the impact of ignoring the response measurement error in the analysis, that is, by using a standard analysis based on t-tests. In addition, we examine the role of repeat measurements in improving the quality of estimation and prediction in the presence of response measurement error. We also study a Bayesian approach that accounts for the response measurement error directly through the specification ofmore » the model, and allows including additional information about variability in the analysis. We consider the impact on power, prediction, and optimization. Copyright © 2015 John Wiley & Sons, Ltd.« less

  12. The impact of response measurement error on the analysis of designed experiments

    SciTech Connect (OSTI)

    Anderson-Cook, Christine Michaela; Hamada, Michael Scott; Burr, Thomas Lee

    2015-12-21

    This study considers the analysis of designed experiments when there is measurement error in the true response or so-called response measurement error. We consider both additive and multiplicative response measurement errors. Through a simulation study, we investigate the impact of ignoring the response measurement error in the analysis, that is, by using a standard analysis based on t-tests. In addition, we examine the role of repeat measurements in improving the quality of estimation and prediction in the presence of response measurement error. We also study a Bayesian approach that accounts for the response measurement error directly through the specification of the model, and allows including additional information about variability in the analysis. We consider the impact on power, prediction, and optimization. Copyright © 2015 John Wiley & Sons, Ltd.

  13. EMERGING MODALITIES FOR SOIL CARBON ANALYSIS: SAMPLING STATISTICS AND ECONOMICS WORKSHOP.

    SciTech Connect (OSTI)

    WIELOPOLSKI, L.

    2006-04-01

    The workshop's main objectives are (1) to present the emerging modalities for analyzing carbon in soil, (2) to assess their error propagation, (3) to recommend new protocols and sampling strategies for the new instrumentation, and, (4) to compare the costs of the new methods with traditional chemical ones.

  14. Optimized Sampling Strategies For Non-Proliferation Monitoring: Report

    SciTech Connect (OSTI)

    Kurzeja, R.; Buckley, R.; Werth, D.; Chiswell, S.

    2015-10-20

    Concentration data collected from the 2013 H-Canyon effluent reprocessing experiment were reanalyzed to improve the source term estimate. When errors in the model-predicted wind speed and direction were removed, the source term uncertainty was reduced to 30% of the mean. This explained the factor of 30 difference between the source term size derived from data at 5 km and 10 km downwind in terms of the time history of dissolution. The results show a path forward to develop a sampling strategy for quantitative source term calculation.

  15. Decoherence and dephasing errors caused by the dc Stark effect in rapid ion

    Office of Scientific and Technical Information (OSTI)

    transport (Journal Article) | SciTech Connect Decoherence and dephasing errors caused by the dc Stark effect in rapid ion transport Citation Details In-Document Search Title: Decoherence and dephasing errors caused by the dc Stark effect in rapid ion transport We investigate the error due to the dc Stark effect for quantum information processing for trapped ion quantum computers using the scalable architecture proposed in D. Wineland et al. [J. Res. Natl. Inst. Stand. Technol. 103, 259

  16. Method and apparatus for detecting timing errors in a system oscillator

    DOE Patents [OSTI]

    Gliebe, Ronald J.; Kramer, William R.

    1993-01-01

    A method of detecting timing errors in a system oscillator for an electronic device, such as a power supply, includes the step of comparing a system oscillator signal with a delayed generated signal and generating a signal representative of the timing error when the system oscillator signal is not identical to the delayed signal. An LED indicates to an operator that a timing error has occurred. A hardware circuit implements the above-identified method.

  17. Numerical study of the effect of normalised window size, sampling frequency, and noise level on short time Fourier transform analysis

    SciTech Connect (OSTI)

    Ota, T. A.

    2013-10-15

    Photonic Doppler velocimetry, also known as heterodyne velocimetry, is a widely used optical technique that requires the analysis of frequency modulated signals. This paper describes an investigation into the errors of short time Fourier transform analysis. The number of variables requiring investigation was reduced by means of an equivalence principle. Error predictions, as the number of cycles, samples per cycle, noise level, and window type were varied, are presented. The results were found to be in good agreement with analytical models.

  18. Acceptance sampling using judgmental and randomly selected samples

    SciTech Connect (OSTI)

    Sego, Landon H.; Shulman, Stanley A.; Anderson, Kevin K.; Wilson, John E.; Pulsipher, Brent A.; Sieber, W. Karl

    2010-09-01

    We present a Bayesian model for acceptance sampling where the population consists of two groups, each with different levels of risk of containing unacceptable items. Expert opinion, or judgment, may be required to distinguish between the high and low-risk groups. Hence, high-risk items are likely to be identifed (and sampled) using expert judgment, while the remaining low-risk items are sampled randomly. We focus on the situation where all observed samples must be acceptable. Consequently, the objective of the statistical inference is to quantify the probability that a large percentage of the unsampled items in the population are also acceptable. We demonstrate that traditional (frequentist) acceptance sampling and simpler Bayesian formulations of the problem are essentially special cases of the proposed model. We explore the properties of the model in detail, and discuss the conditions necessary to ensure that required samples sizes are non-decreasing function of the population size. The method is applicable to a variety of acceptance sampling problems, and, in particular, to environmental sampling where the objective is to demonstrate the safety of reoccupying a remediated facility that has been contaminated with a lethal agent.

  19. Correction of motion measurement errors beyond the range resolution of a synthetic aperture radar

    DOE Patents [OSTI]

    Doerry, Armin W. (Albuquerque, NM); Heard, Freddie E. (Albuquerque, NM); Cordaro, J. Thomas (Albuquerque, NM)

    2008-06-24

    Motion measurement errors that extend beyond the range resolution of a synthetic aperture radar (SAR) can be corrected by effectively decreasing the range resolution of the SAR in order to permit measurement of the error. Range profiles can be compared across the slow-time dimension of the input data in order to estimate the error. Once the error has been determined, appropriate frequency and phase correction can be applied to the uncompressed input data, after which range and azimuth compression can be performed to produce a desired SAR image.

  20. Table 4b. Relative Standard Errors for Total Fuel Oil Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    4b. Relative Standard Errors for Total Fuel Oil Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Fuel Oil (thousand) Total Fuel Oil...

  1. V-172: ISC BIND RUNTIME_CHECK Error Lets Remote Users Deny Service Against Recursive Resolvers

    Broader source: Energy.gov [DOE]

    A defect exists which allows an attacker to crash a BIND 9 recursive resolver with a RUNTIME_CHECK error in resolver.c

  2. Sample Retention Incentive Service Agreement

    Energy Savers [EERE]

    Department of Energy Sample Contract Language for Construction Using Energy-Efficient Products Sample Contract Language for Construction Using Energy-Efficient Products Document covers sample language that federal agencies can use in contracts specifying or purchasing energy-efficient products in construction projects. This includes the following products qualified by ENERGY STAR or designated by the Federal Energy Management Program: Air conditioners Ballasts Boilers Chillers Doors Electric

  3. Gas Sampling | Open Energy Information

    Open Energy Info (EERE)

    of geothermometric calculations and geochemical modeling of the data. In the case of gas flux sampling, different measurement techniques and devices may disrupt or alter the...

  4. Sample page | Open Energy Information

    Open Energy Info (EERE)

    Sample pages; Help pages; References Francis C. Monastero. 2002. An overview of industry-military cooperation in the development of power operations at the Coso...

  5. Sample Residential Program Term Sheet

    Broader source: Energy.gov [DOE]

    A sample for defining and elaborating on the specifics of a clean energy loan program. Author: U.S. Department of Energy

  6. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L.E.

    1995-02-01

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the U.S. Department of Energy (DOE). This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring onsite drinking water falls outside the scope of the SESP. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control, and reporting. The ground-water sampling schedule identifies ground-water sampling .events used by PNL for environmental surveillance of the Hanford Site. Sampling is indicated as annual, semi-annual, quarterly, or monthly in the sampling schedule. Some samples are collected and analyzed as part of ground-water monitoring and characterization programs at Hanford (e.g. Resources Conservation and Recovery Act (RCRA), Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), or Operational). The number of samples planned by other programs are identified in the sampling schedule by a number in the analysis column and a project designation in the Cosample column. Well sampling events may be merged to avoid redundancy in cases where sampling is planned by both-environmental surveillance and another program.

  7. 200 area TEDF sample schedule

    SciTech Connect (OSTI)

    Brown, M.J.

    1995-03-22

    This document summarizes the sampling criteria associated with the 200 Area Treatment Effluent Facility (TEDF) that are needed to comply with the requirements of the Washington State Discharge Permit No. WA ST 4502 and good engineering practices at the generator streams that feed into TEDF. In addition, this document Identifies the responsible parties for both sampling and data transference.

  8. Sample push-out fixture

    DOE Patents [OSTI]

    Biernat, John L.

    2002-11-05

    This invention generally relates to the remote removal of pelletized samples from cylindrical containment capsules. V-blocks are used to receive the samples and provide guidance to push out rods. Stainless steel liners fit into the v-channels on the v-blocks which permits them to be remotely removed and replaced or cleaned to prevent cross contamination between capsules and samples. A capsule holder securely holds the capsule while allowing manual up/down and in/out movement to align each sample hole with the v-blocks. Both end sections contain identical v-blocks; one that guides the drive out screw and rods or manual push out rods and the other to receive the samples as they are driven out of the capsule.

  9. Potential Hydraulic Modelling Errors Associated with Rheological Data Extrapolation in Laminar Flow

    SciTech Connect (OSTI)

    Shadday, Martin A., Jr.

    1997-03-20

    The potential errors associated with the modelling of flows of non-Newtonian slurries through pipes, due to inadequate rheological models and extrapolation outside of the ranges of data bases, are demonstrated. The behaviors of both dilatant and pseudoplastic fluids with yield stresses, and the errors associated with treating them as Bingham plastics, are investigated.

  10. A Case for Soft Error Detection and Correction in Computational Chemistry

    SciTech Connect (OSTI)

    van Dam, Hubertus JJ; Vishnu, Abhinav; De Jong, Wibe A.

    2013-09-10

    High performance computing platforms are expected to deliver 10(18) floating operations per second by the year 2022 through the deployment of millions of cores. Even if every core is highly reliable the sheer number of the them will mean that the mean time between failures will become so short that most applications runs will suffer at least one fault. In particular soft errors caused by intermittent incorrect behavior of the hardware are a concern as they lead to silent data corruption. In this paper we investigate the impact of soft errors on optimization algorithms using Hartree-Fock as a particular example. Optimization algorithms iteratively reduce the error in the initial guess to reach the intended solution. Therefore they may intuitively appear to be resilient to soft errors. Our results show that this is true for soft errors of small magnitudes but not for large errors. We suggest error detection and correction mechanisms for different classes of data structures. The results obtained with these mechanisms indicate that we can correct more than 95% of the soft errors at moderate increases in the computational cost.

  11. Compilation error with cray-petsc/3.6.1.0

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

    Compilation error with cray-petsc3.6.1.0 Compilation error with cray-petsc3.6.1.0 January 5, 2016 The current default cray-petsc module, cray-petsc3.6.1.0, does not work with...

  12. The cce/8.3.0 C++ compiler may run into a linking error on Edison

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

    The cce8.3.0 C++ compiler may run into a linking error on Edison The cce8.3.0 C++ compiler may run into a linking error on Edison July 1, 2014 You may run into the following...

  13. April 27, 2011 - How to Work with the Media Webinar (text version...

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

    Home Performance with ENERGY STAR Webinar (text version) May 21, 2011 - Getting Useful Real Time Feedback About Your Program Webinar (text version) Marketing & Driving Demand: ...

  14. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L.E.

    1991-01-01

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE). This document contains the planned schedule for routine sample collection for the Surface Environmental Surveillance Project (SESP) and Ground-Water Monitoring Project. The routine sampling plan for the SESP has been revised this year to reflect changing site operations and priorities. Some sampling previously performed at least annually has been reduced in frequency, and some new sampling to be performed at a less than annual frequency has been added. Therefore, the SESP schedule reflects sampling to be conducted in calendar year 1991 as well as future years. The ground-water sampling schedule is for 1991. This schedule is subject to modification during the year in response to changes in Site operation, program requirements, and the nature of the observed results. Operational limitations such as weather, mechanical failures, sample availability, etc., may also require schedule modifications. Changes will be documented in the respective project files, but this plan will not be reissued. The purpose of these monitoring projects is to evaluate levels of radioactive and nonradioactive pollutants in the Hanford evirons.

  15. Duplex sampling apparatus and method

    DOE Patents [OSTI]

    Brown, Paul E. (Pittsburgh, PA); Lloyd, Robert (West Mifflin, PA)

    1992-01-01

    An improved apparatus is provided for sampling a gaseous mixture and for measuring mixture components. The apparatus includes two sampling containers connected in series serving as a duplex sampling apparatus. The apparatus is adapted to independently determine the amounts of condensable and noncondensable gases in admixture from a single sample. More specifically, a first container includes a first port capable of selectively connecting to and disconnecting from a sample source and a second port capable of selectively connecting to and disconnecting from a second container. A second container also includes a first port capable of selectively connecting to and disconnecting from the second port of the first container and a second port capable of either selectively connecting to and disconnecting from a differential pressure source. By cooling a mixture sample in the first container, the condensable vapors form a liquid, leaving noncondensable gases either as free gases or dissolved in the liquid. The condensed liquid is heated to drive out dissolved noncondensable gases, and all the noncondensable gases are transferred to the second container. Then the first and second containers are separated from one another in order to separately determine the amount of noncondensable gases and the amount of condensable gases in the sample.

  16. Methods and apparatus using commutative error detection values for fault isolation in multiple node computers

    DOE Patents [OSTI]

    Almasi, Gheorghe [Ardsley, NY; Blumrich, Matthias Augustin [Ridgefield, CT; Chen, Dong [Croton-On-Hudson, NY; Coteus, Paul [Yorktown, NY; Gara, Alan [Mount Kisco, NY; Giampapa, Mark E. [Irvington, NY; Heidelberger, Philip [Cortlandt Manor, NY; Hoenicke, Dirk I. [Ossining, NY; Singh, Sarabjeet [Mississauga, CA; Steinmacher-Burow, Burkhard D. [Wernau, DE; Takken, Todd [Brewster, NY; Vranas, Pavlos [Bedford Hills, NY

    2008-06-03

    Methods and apparatus perform fault isolation in multiple node computing systems using commutative error detection values for--example, checksums--to identify and to isolate faulty nodes. When information associated with a reproducible portion of a computer program is injected into a network by a node, a commutative error detection value is calculated. At intervals, node fault detection apparatus associated with the multiple node computer system retrieve commutative error detection values associated with the node and stores them in memory. When the computer program is executed again by the multiple node computer system, new commutative error detection values are created and stored in memory. The node fault detection apparatus identifies faulty nodes by comparing commutative error detection values associated with reproducible portions of the application program generated by a particular node from different runs of the application program. Differences in values indicate a possible faulty node.

  17. User-Driven Sampling Strategies in Image Exploitation

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

    Harvey, Neal R.; Porter, Reid B.

    2013-12-23

    Visual analytics and interactive machine learning both try to leverage the complementary strengths of humans and machines to solve complex data exploitation tasks. These fields overlap most significantly when training is involved: the visualization or machine learning tool improves over time by exploiting observations of the human-computer interaction. This paper focuses on one aspect of the human-computer interaction that we call user-driven sampling strategies. Unlike relevance feedback and active learning sampling strategies, where the computer selects which data to label at each iteration, we investigate situations where the user selects which data is to be labeled at each iteration. User-drivenmore » sampling strategies can emerge in many visual analytics applications but they have not been fully developed in machine learning. We discovered that in user-driven sampling strategies suggest new theoretical and practical research questions for both visualization science and machine learning. In this paper we identify and quantify the potential benefits of these strategies in a practical image analysis application. We find user-driven sampling strategies can sometimes provide significant performance gains by steering tools towards local minima that have lower error than tools trained with all of the data. Furthermore, in preliminary experiments we find these performance gains are particularly pronounced when the user is experienced with the tool and application domain.« less

  18. Sample Business Plan Framework 5

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 5: A program that establishes itself as a government entity, then operates using a fee-based structure.

  19. Sample Business Plan Framework 4

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 4: A program seeking to continue in the post-grant period as a marketing contractor to a utility.

  20. Sample Business Plan Framework 1

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  1. Sample Business Plan Framework 3

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 3: A government entity running a Commercial PACE program in the post-grant period.

  2. Air Sampling System Evaluation Template

    Energy Science and Technology Software Center (OSTI)

    2000-05-09

    The ASSET1.0 software provides a template with which a user can evaluate an Air Sampling System against the latest version of ANSI N13.1 "Sampling and Monitoring Releases of Airborne Radioactive Substances from the Stacks and Ducts of Nuclear Facilities". The software uses the ANSI N13.1 PIC levels to establish basic design criteria for the existing or proposed sampling system. The software looks at such criteria as PIC level, type of radionuclide emissions, physical state ofmore » the radionuclide, nozzle entrance effects, particulate transmission effects, system and component accuracy and precision evaluations, and basic system operations to provide a detailed look at the subsystems of a monitoring and sampling system/program. A GAP evaluation can then be completed which leads to identification of design and operational flaws in the proposed systems. Corrective measures can then be limited to the GAPs.« less

  3. Sample Business Plan Framework 2

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  4. Equipment Inventory | Sample Preparation Laboratories

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

    21KBr Centrifuge Centrifuge SSRL BioChemMat Prep Lab 2 131 209 Saint Gobain K-104 Sanyo MIR-154 Cooled Incubator Temperature Control LCLS Sample Prep Lab 999 109 Sanyo MPR-215F...

  5. Depth-discrete sampling port

    DOE Patents [OSTI]

    Pemberton, Bradley E.; May, Christopher P.; Rossabi, Joseph; Riha, Brian D.; Nichols, Ralph L.

    1999-01-01

    A sampling port is provided which has threaded ends for incorporating the port into a length of subsurface pipe. The port defines an internal receptacle which is in communication with subsurface fluids through a series of fine filtering slits. The receptacle is in further communication through a bore with a fitting carrying a length of tubing there which samples are transported to the surface. Each port further defines an additional bore through which tubing, cables, or similar components of adjacent ports may pass.

  6. Depth-discrete sampling port

    DOE Patents [OSTI]

    Pemberton, Bradley E.; May, Christopher P.; Rossabi, Joseph; Riha, Brian D.; Nichols, Ralph L.

    1998-07-07

    A sampling port is provided which has threaded ends for incorporating the port into a length of subsurface pipe. The port defines an internal receptacle which is in communication with subsurface fluids through a series of fine filtering slits. The receptacle is in further communication through a bore with a fitting carrying a length of tubing there which samples are transported to the surface. Each port further defines an additional bore through which tubing, cables, or similar components of adjacent ports may pass.

  7. text_alternative_stat_webinar_2012_7_18.docx | Department of Energy

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

    18.docx File text_alternative_stat_webinar_2012_7_18.docx More Documents & Publications text_alternative_stat_webinar_2012_7_25.docx text_alternative_stat_webinar_2012_8_22.doc text_alternative_stat_webinar_2012_9_5.doc

  8. Volumetric apparatus for hydrogen adsorption and diffusion measurements: Sources of systematic error and impact of their experimental resolutions

    SciTech Connect (OSTI)

    Policicchio, Alfonso; Maccallini, Enrico; Kalantzopoulos, Georgios N.; Cataldi, Ugo; Abate, Salvatore; Desiderio, Giovanni; DeltaE s.r.l., c/o Università della Calabria, Via Pietro Bucci cubo 31D, 87036 Arcavacata di Rende , Italy and CNR-IPCF LiCryL, c/o Università della Calabria, Via Ponte P. Bucci, Cubo 31C, 87036 Arcavacata di Rende

    2013-10-15

    The development of a volumetric apparatus (also known as a Sieverts’ apparatus) for accurate and reliable hydrogen adsorption measurement is shown. The instrument minimizes the sources of systematic errors which are mainly due to inner volume calibration, stability and uniformity of the temperatures, precise evaluation of the skeletal volume of the measured samples, and thermodynamical properties of the gas species. A series of hardware and software solutions were designed and introduced in the apparatus, which we will indicate as f-PcT, in order to deal with these aspects. The results are represented in terms of an accurate evaluation of the equilibrium and dynamical characteristics of the molecular hydrogen adsorption on two well-known porous media. The contribution of each experimental solution to the error propagation of the adsorbed moles is assessed. The developed volumetric apparatus for gas storage capacity measurements allows an accurate evaluation over a 4 order-of-magnitude pressure range (from 1 kPa to 8 MPa) and in temperatures ranging between 77 K and 470 K. The acquired results are in good agreement with the values reported in the literature.

  9. April 27, 2011 - How to Work with the Media Webinar (text version) |

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

    Department of Energy April 27, 2011 - How to Work with the Media Webinar (text version) April 27, 2011 - How to Work with the Media Webinar (text version) Text version of the Better Buildings webinar on April 27, 2011. PDF icon Webinar transcript More Documents & Publications Home Performance with ENERGY STAR Webinar (text version) May 21, 2011 - Getting Useful Real Time Feedback About Your Program Webinar (text version) Marketing & Driving Demand: Social Media Tools & Strategies

  10. Ball assisted device for analytical surface sampling

    DOE Patents [OSTI]

    ElNaggar, Mariam S; Van Berkel, Gary J; Covey, Thomas R

    2015-11-03

    A system for sampling a surface includes a sampling probe having a housing and a socket, and a rolling sampling sphere within the socket. The housing has a sampling fluid supply conduit and a sampling fluid exhaust conduit. The sampling fluid supply conduit supplies sampling fluid to the sampling sphere. The sampling fluid exhaust conduit has an inlet opening for receiving sampling fluid carried from the surface by the sampling sphere. A surface sampling probe and a method for sampling a surface are also disclosed.

  11. Modern Palliative Radiation Treatment: Do Complexity and Workload Contribute to Medical Errors?

    SciTech Connect (OSTI)

    D'Souza, Neil; Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario ; Holden, Lori; Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario ; Robson, Sheila; Mah, Kathy; Di Prospero, Lisa; Wong, C. Shun; Chow, Edward; Spayne, Jacqueline; Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario

    2012-09-01

    Purpose: To examine whether treatment workload and complexity associated with palliative radiation therapy contribute to medical errors. Methods and Materials: In the setting of a large academic health sciences center, patient scheduling and record and verification systems were used to identify patients starting radiation therapy. All records of radiation treatment courses delivered during a 3-month period were retrieved and divided into radical and palliative intent. 'Same day consultation, planning and treatment' was used as a proxy for workload and 'previous treatment' and 'multiple sites' as surrogates for complexity. In addition, all planning and treatment discrepancies (errors and 'near-misses') recorded during the same time frame were reviewed and analyzed. Results: There were 365 new patients treated with 485 courses of palliative radiation therapy. Of those patients, 128 (35%) were same-day consultation, simulation, and treatment patients; 166 (45%) patients had previous treatment; and 94 (26%) patients had treatment to multiple sites. Four near-misses and 4 errors occurred during the audit period, giving an error per course rate of 0.82%. In comparison, there were 10 near-misses and 5 errors associated with 1100 courses of radical treatment during the audit period. This translated into an error rate of 0.45% per course. An association was found between workload and complexity and increased palliative therapy error rates. Conclusions: Increased complexity and workload may have an impact on palliative radiation treatment discrepancies. This information may help guide the necessary recommendations for process improvement for patients who require palliative radiation therapy.

  12. Fractional charge and spin errors in self-consistent Green’s function theory

    SciTech Connect (OSTI)

    Phillips, Jordan J. Kananenka, Alexei A.; Zgid, Dominika

    2015-05-21

    We examine fractional charge and spin errors in self-consistent Green’s function theory within a second-order approximation (GF2). For GF2, it is known that the summation of diagrams resulting from the self-consistent solution of the Dyson equation removes the divergences pathological to second-order Møller-Plesset (MP2) theory for strong correlations. In the language often used in density functional theory contexts, this means GF2 has a greatly reduced fractional spin error relative to MP2. The natural question then is what effect, if any, does the Dyson summation have on the fractional charge error in GF2? To this end, we generalize our previous implementation of GF2 to open-shell systems and analyze its fractional spin and charge errors. We find that like MP2, GF2 possesses only a very small fractional charge error, and consequently minimal many electron self-interaction error. This shows that GF2 improves on the critical failings of MP2, but without altering the positive features that make it desirable. Furthermore, we find that GF2 has both less fractional charge and fractional spin errors than typical hybrid density functionals as well as random phase approximation with exchange.

  13. ADEPT, a dynamic next generation sequencing data error-detection program with trimming

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

    Feng, Shihai; Lo, Chien-Chi; Li, Po-E; Chain, Patrick S. G.

    2016-02-29

    Illumina is the most widely used next generation sequencing technology and produces millions of short reads that contain errors. These sequencing errors constitute a major problem in applications such as de novo genome assembly, metagenomics analysis and single nucleotide polymorphism discovery. In this study, we present ADEPT, a dynamic error detection method, based on the quality scores of each nucleotide and its neighboring nucleotides, together with their positions within the read and compares this to the position-specific quality score distribution of all bases within the sequencing run. This method greatly improves upon other available methods in terms of the truemore » positive rate of error discovery without affecting the false positive rate, particularly within the middle of reads. We conclude that ADEPT is the only tool to date that dynamically assesses errors within reads by comparing position-specific and neighboring base quality scores with the distribution of quality scores for the dataset being analyzed. The result is a method that is less prone to position-dependent under-prediction, which is one of the most prominent issues in error prediction. The outcome is that ADEPT improves upon prior efforts in identifying true errors, primarily within the middle of reads, while reducing the false positive rate.« less

  14. How Radiation Oncologists Would Disclose Errors: Results of a Survey of Radiation Oncologists and Trainees

    SciTech Connect (OSTI)

    Evans, Suzanne B.; Yu, James B.; Chagpar, Anees

    2012-10-01

    Purpose: To analyze error disclosure attitudes of radiation oncologists and to correlate error disclosure beliefs with survey-assessed disclosure behavior. Methods and Materials: With institutional review board exemption, an anonymous online survey was devised. An email invitation was sent to radiation oncologists (American Society for Radiation Oncology [ASTRO] gold medal winners, program directors and chair persons of academic institutions, and former ASTRO lecturers) and residents. A disclosure score was calculated based on the number or full, partial, or no disclosure responses chosen to the vignette-based questions, and correlation was attempted with attitudes toward error disclosure. Results: The survey received 176 responses: 94.8% of respondents considered themselves more likely to disclose in the setting of a serious medical error; 72.7% of respondents did not feel it mattered who was responsible for the error in deciding to disclose, and 3.9% felt more likely to disclose if someone else was responsible; 38.0% of respondents felt that disclosure increased the likelihood of a lawsuit, and 32.4% felt disclosure decreased the likelihood of lawsuit; 71.6% of respondents felt near misses should not be disclosed; 51.7% thought that minor errors should not be disclosed; 64.7% viewed disclosure as an opportunity for forgiveness from the patient; and 44.6% considered the patient's level of confidence in them to be a factor in disclosure. For a scenario that could be considerable, a non-harmful error, 78.9% of respondents would not contact the family. Respondents with high disclosure scores were more likely to feel that disclosure was an opportunity for forgiveness (P=.003) and to have never seen major medical errors (P=.004). Conclusions: The surveyed radiation oncologists chose to respond with full disclosure at a high rate, although ideal disclosure practices were not uniformly adhered to beyond the initial decision to disclose the occurrence of the error.

  15. Tank characterization technical sampling basis

    SciTech Connect (OSTI)

    Brown, T.M.

    1998-04-28

    Tank Characterization Technical Sampling Basis (this document) is the first step of an in place working process to plan characterization activities in an optimal manner. This document will be used to develop the revision of the Waste Information Requirements Document (WIRD) (Winkelman et al. 1997) and ultimately, to create sampling schedules. The revised WIRD will define all Characterization Project activities over the course of subsequent fiscal years 1999 through 2002. This document establishes priorities for sampling and characterization activities conducted under the Tank Waste Remediation System (TWRS) Tank Waste Characterization Project. The Tank Waste Characterization Project is designed to provide all TWRS programs with information describing the physical, chemical, and radiological properties of the contents of waste storage tanks at the Hanford Site. These tanks contain radioactive waste generated from the production of nuclear weapons materials at the Hanford Site. The waste composition varies from tank to tank because of the large number of chemical processes that were used when producing nuclear weapons materials over the years and because the wastes were mixed during efforts to better use tank storage space. The Tank Waste Characterization Project mission is to provide information and waste sample material necessary for TWRS to define and maintain safe interim storage and to process waste fractions into stable forms for ultimate disposal. This document integrates the information needed to address safety issues, regulatory requirements, and retrieval, treatment, and immobilization requirements. Characterization sampling to support tank farm operational needs is also discussed.

  16. Computing the partition function, ensemble averages, and density of states for lattice spin systems by sampling the mean

    SciTech Connect (OSTI)

    Gillespie, Dirk

    2013-10-01

    An algorithm to approximately calculate the partition function (and subsequently ensemble averages) and density of states of lattice spin systems through non-Monte-Carlo random sampling is developed. This algorithm (called the sampling-the-mean algorithm) can be applied to models where the up or down spins at lattice nodes interact to change the spin states of other lattice nodes, especially non-Ising-like models with long-range interactions such as the biological model considered here. Because it is based on the Central Limit Theorem of probability, the sampling-the-mean algorithm also gives estimates of the error in the partition function, ensemble averages, and density of states. Easily implemented parallelization strategies and error minimizing sampling strategies are discussed. The sampling-the-mean method works especially well for relatively small systems, systems with a density of energy states that contains sharp spikes or oscillations, or systems with little a priori knowledge of the density of states.

  17. Sample Results from Routine Salt Batch 7 Samples

    SciTech Connect (OSTI)

    Peters, T.

    2015-05-13

    Strip Effluent Hold Tank (SEHT) and Decontaminated Salt Solution Hold Tank (DSSHT) samples from several of the “microbatches” of Integrated Salt Disposition Project (ISDP) Salt Batch (“Macrobatch”) 7B have been analyzed for 238Pu, 90Sr, 137Cs, Inductively Coupled Plasma Emission Spectroscopy (ICPES), and Ion Chromatography Anions (IC-A). The results from the current microbatch samples are similar to those from earlier samples from this and previous macrobatches. The Actinide Removal Process (ARP) and the Modular Caustic-Side Solvent Extraction Unit (MCU) continue to show more than adequate Pu and Sr removal, and there is a distinct positive trend in Cs removal, due to the use of the Next Generation Solvent (NGS). The Savannah River National Laboratory (SRNL) notes that historically, most measured Concentration Factor (CF) values during salt processing have been in the 12-14 range. However, recent processing gives CF values closer to 11. This observation does not indicate that the solvent performance is suffering, as the Decontamination Factor (DF) has still maintained consistently high values. Nevertheless, SRNL will continue to monitor for indications of process upsets. The bulk chemistry of the DSSHT and SEHT samples do not show any signs of unusual behavior.

  18. Error propagation equations for estimating the uncertainty in high-speed wind tunnel test results

    SciTech Connect (OSTI)

    Clark, E.L.

    1994-07-01

    Error propagation equations, based on the Taylor series model, are derived for the nondimensional ratios and coefficients most often encountered in high-speed wind tunnel testing. These include pressure ratio and coefficient, static force and moment coefficients, dynamic stability coefficients, and calibration Mach number. The error equations contain partial derivatives, denoted as sensitivity coefficients, which define the influence of free-steam Mach number, M{infinity}, on various aerodynamic ratios. To facilitate use of the error equations, sensitivity coefficients are derived and evaluated for five fundamental aerodynamic ratios which relate free-steam test conditions to a reference condition.

  19. Model-Based Sampling and Inference

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

    Model-Based Sampling, Inference and Imputation James R. Knaub, Jr., Energy Information Administration, EI-53.1 James.Knaub@eia.doe.gov Key Words: Survey statistics, Randomization, Conditionality, Random sampling, Cutoff sampling Abstract: Picking a sample through some randomization mechanism, such as random sampling within groups (stratified random sampling), or, say, sampling every fifth item (systematic random sampling), may be familiar to a lot of people. These are design-based samples.

  20. Water-Gas Sampling | Open Energy Information

    Open Energy Info (EERE)

    Water-Gas Sampling (Redirected from Water-Gas Samples) Redirect page Jump to: navigation, search REDIRECT Downhole Fluid Sampling Retrieved from "http:en.openei.orgw...

  1. Category:Water Sampling | Open Energy Information

    Open Energy Info (EERE)

    Water Sampling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Water Sampling page? For detailed information on Water Sampling as...

  2. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, Katharine H.

    1990-01-01

    An inertial impactor to be used in an air sampling device for collection of respirable size particles in ambient air which may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry.

  3. The Ocean Sampling Day Consortium

    SciTech Connect (OSTI)

    Kopf, Anna; Bicak, Mesude; Kottmann, Renzo; Schnetzer, Julia; Kostadinov, Ivaylo; Lehmann, Katja; Fernandez-Guerra, Antonio; Jeanthon, Christian; Rahav, Eyal; Ullrich, Matthias; Wichels, Antje; Gerdts, Gunnar; Polymenakou, Paraskevi; Kotoulas, Giorgos; Siam, Rania; Abdallah, Rehab Z.; Sonnenschein, Eva C.; Cariou, Thierry; O’Gara, Fergal; Jackson, Stephen; Orlic, Sandi; Steinke, Michael; Busch, Julia; Duarte, Bernardo; Caçador, Isabel; Canning-Clode, João; Bobrova, Oleksandra; Marteinsson, Viggo; Reynisson, Eyjolfur; Loureiro, Clara Magalhães; Luna, Gian Marco; Quero, Grazia Marina; Löscher, Carolin R.; Kremp, Anke; DeLorenzo, Marie E.; Øvreås, Lise; Tolman, Jennifer; LaRoche, Julie; Penna, Antonella; Frischer, Marc; Davis, Timothy; Katherine, Barker; Meyer, Christopher P.; Ramos, Sandra; Magalhães, Catarina; Jude-Lemeilleur, Florence; Aguirre-Macedo, Ma Leopoldina; Wang, Shiao; Poulton, Nicole; Jones, Scott; Collin, Rachel; Fuhrman, Jed A.; Conan, Pascal; Alonso, Cecilia; Stambler, Noga; Goodwin, Kelly; Yakimov, Michael M.; Baltar, Federico; Bodrossy, Levente; Van De Kamp, Jodie; Frampton, Dion M. F.; Ostrowski, Martin; Van Ruth, Paul; Malthouse, Paul; Claus, Simon; Deneudt, Klaas; Mortelmans, Jonas; Pitois, Sophie; Wallom, David; Salter, Ian; Costa, Rodrigo; Schroeder, Declan C.; Kandil, Mahrous M.; Amaral, Valentina; Biancalana, Florencia; Santana, Rafael; Pedrotti, Maria Luiza; Yoshida, Takashi; Ogata, Hiroyuki; Ingleton, Tim; Munnik, Kate; Rodriguez-Ezpeleta, Naiara; Berteaux-Lecellier, Veronique; Wecker, Patricia; Cancio, Ibon; Vaulot, Daniel; Bienhold, Christina; Ghazal, Hassan; Chaouni, Bouchra; Essayeh, Soumya; Ettamimi, Sara; Zaid, El Houcine; Boukhatem, Noureddine; Bouali, Abderrahim; Chahboune, Rajaa; Barrijal, Said; Timinouni, Mohammed; El Otmani, Fatima; Bennani, Mohamed; Mea, Marianna; Todorova, Nadezhda; Karamfilov, Ventzislav; ten Hoopen, Petra; Cochrane, Guy; L’Haridon, Stephane; Bizsel, Kemal Can; Vezzi, Alessandro; Lauro, Federico M.; Martin, Patrick; Jensen, Rachelle M.; Hinks, Jamie; Gebbels, Susan; Rosselli, Riccardo; De Pascale, Fabio; Schiavon, Riccardo; dos Santos, Antonina; Villar, Emilie; Pesant, Stéphane; Cataletto, Bruno; Malfatti, Francesca; Edirisinghe, Ranjith; Silveira, Jorge A. Herrera; Barbier, Michele; Turk, Valentina; Tinta, Tinkara; Fuller, Wayne J.; Salihoglu, Ilkay; Serakinci, Nedime; Ergoren, Mahmut Cerkez; Bresnan, Eileen; Iriberri, Juan; Nyhus, Paul Anders Fronth; Bente, Edvardsen; Karlsen, Hans Erik; Golyshin, Peter N.; Gasol, Josep M.; Moncheva, Snejana; Dzhembekova, Nina; Johnson, Zackary; Sinigalliano, Christopher David; Gidley, Maribeth Louise; Zingone, Adriana; Danovaro, Roberto; Tsiamis, George; Clark, Melody S.; Costa, Ana Cristina; El Bour, Monia; Martins, Ana M.; Collins, R. Eric; Ducluzeau, Anne-Lise; Martinez, Jonathan; Costello, Mark J.; Amaral-Zettler, Linda A.; Gilbert, Jack A.; Davies, Neil; Field, Dawn; Glöckner, Frank Oliver

    2015-06-19

    In this study, Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.

  4. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1990-05-22

    An inertial impactor is designed which is to be used in an air sampling device for collection of respirable size particles in ambient air. The device may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  5. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1987-12-10

    An inertial impactor to be used in an air sampling device for collection of respirable size particles in ambient air which may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  6. A flexible importance sampling method for integrating subgrid processes

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

    Raut, E. K.; Larson, V. E.

    2015-10-22

    Numerical models of weather and climate need to compute grid-box-averaged rates of physical processes such as microphysics. These averages are computed by integrating subgrid variability over a grid box. For this reason, an important aspect of atmospheric modeling is integration. The needed integrals can be estimated by Monte Carlo integration. Monte Carlo integration is simple and general but requires many evaluations of the physical process rate. To reduce the number of function evaluations, this paper describes a new, flexible method of importance sampling. It divides the domain of integration into eight categories, such as the portion that contains bothmore »precipitation and cloud, or the portion that contains precipitation but no cloud. It then allows the modeler to prescribe the density of sample points within each of the eight categories. The new method is incorporated into the Subgrid Importance Latin Hypercube Sampler (SILHS). The resulting method is tested on drizzling cumulus and stratocumulus cases. In the cumulus case, the sampling error can be considerably reduced by drawing more sample points from the region of rain evaporation.« less

  7. Text-Alternative Version: CALiPER Series 21 on LED Linear Lamps...

    Energy Savers [EERE]

    Information Resources Videos Text-Alternative Version: CALiPER Series 21 on LED Linear Lamps and Troffer Lighting Text-Alternative Version: CALiPER Series 21 on LED Linear ...

  8. STANLEY (Sandia Text ANaLysis Extensible librarY) Ver. 1.1

    Energy Science and Technology Software Center (OSTI)

    2009-11-10

    Reusable, extensible text analysis library. This library forms the basis for the automated generation of cognitive models from text for Sandia's Cognition program. It also is the basis for the suite of underlying, related applications.

  9. V-109: Google Chrome WebKit Type Confusion Error Lets Remote...

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

    Google Chrome WebKit Type Confusion Error Lets Remote Users Execute Arbitrary Code PLATFORM: Google Chrome prior to 25.0.1364.160 ABSTRACT: A vulnerability was reported in...

  10. "Show Preview" button is not working; gives error | OpenEI Community

    Open Energy Info (EERE)

    "Show Preview" button is not working; gives error Home > Groups > Utility Rate Submitted by Ewilson on 3 January, 2013 - 09:52 1 answer Points: 0 Eric, thanks for reporting this. I...

  11. A Compact Code for Simulations of Quantum Error Correction in Classical Computers

    SciTech Connect (OSTI)

    Nyman, Peter

    2009-03-10

    This study considers implementations of error correction in a simulation language on a classical computer. Error correction will be necessarily in quantum computing and quantum information. We will give some examples of the implementations of some error correction codes. These implementations will be made in a more general quantum simulation language on a classical computer in the language Mathematica. The intention of this research is to develop a programming language that is able to make simulations of all quantum algorithms and error corrections in the same framework. The program code implemented on a classical computer will provide a connection between the mathematical formulation of quantum mechanics and computational methods. This gives us a clear uncomplicated language for the implementations of algorithms.

  12. V-228: RealPlayer Buffer Overflow and Memory Corruption Error...

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

    V-228: RealPlayer Buffer Overflow and Memory Corruption Error Let Remote Users Execute ... Lets Remote Users Execute Arbitrary Code V-049: RealPlayer Buffer Overflow and Invalid ...

  13. Community Renewable Energy Success Stories Webinar: District Heating with Renewable Energy (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar titled "District Heating with Renewable Energy," originally presented on November 20, 2012.

  14. Text-Alternative Version: Keynote Video from Street and Area Lighting Conference

    Broader source: Energy.gov [DOE]

    Following is a text version of Jim Brodrick's keynote video from the recent Street and Area Lighting Conference.

  15. EECLP Webinar #2: Quality Assurance and Evaluation Monitoring Verification-- Text Version

    Broader source: Energy.gov [DOE]

    Below is the text version of the EECLP Webinar 2: Quality Assurance and Evaluation Monitoring Verification, presented in December 2014.

  16. DOE Zero Energy Ready Home Efficient Hot Water Distribution I-- What's At Stake Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar, Efficient Hot Water Distribution I -- What's At Stake, presented in January 2014.

  17. Text-Alternative Version: ENERGY STAR® for SSL: Getting Ready for September 30

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the ENERGY STAR® for SSL: Getting Ready for September 30 webcast.

  18. advanced_biofuels_pathways_webinar_alt_text.doc | Department of Energy

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

    advanced_biofuels_pathways_webinar_alt_text.doc advanced_biofuels_pathways_webinar_alt_text.doc advanced_biofuels_pathways_webinar_alt_text.doc Microsoft Office document icon advanced_biofuels_pathways_webinar_alt_text.doc More Documents & Publications Sustainability for the Global Biofuels Industry: Minimizing Risks and Maximizing Opportunities Webinar Transcript "The Promise and Challenge of Algae as Renewable Sources of Biofuels" 9-8-2010 - Transcript NABC Webinar

  19. Text-Alternative Version: L Prizeâ„¢: The Race for Super Efficient Light Bulbs

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the L Prizeâ„¢: The Race for Super Efficient Light Bulbs webcast.

  20. Community Renewable Energy Success Stories: Community-Scale Anaerobic Digesters (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar titled "Community-Scale Anaerobic Digesters," originally presented on April 16, 2013.

  1. DOE Building Energy Asset Score: Overview and Deployment Webinar-- Text Version

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar DOE Building Energy Asset Score: Overview and Deployment, presented in March 2015.

  2. Text-Alternative Version of Building America Webinar: New Construction Hybrid-Ductless Heat Pumps Study

    Broader source: Energy.gov [DOE]

    Text version of the Building America June 24 Webinar: New Construction Hybrid-Ductless Heat Pumps Study.

  3. Community Renewable Energy Success Stories Webinar: Renewable Energy Parks (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar titled "Renewable Energy Parks," originally presented on March 19, 2013.

  4. Text-Alternative Version: Model Specification for LED Roadway Luminaires Webcast

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "Model Specification for LED Roadway Luminaires" webcast, held November 15, 2011.

  5. Text-Alternative Version: Successful Selection of LED Streetlight Luminaires Webcast

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "Successful Selection of LED Streetlight Luminaires" webcast, held March 6, 2013.

  6. Text-Alternative Version: Hitting the Target: ENERGY STAR® SSL Outdoor Area Lighting

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the Hitting the Target: ENERGY STAR® SSL Outdoor Area Lighting Webcast.

  7. Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report

    Weekly Natural Gas Storage Report (EIA)

    U.S. Energy Information Administration | Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report 1 February 2016 Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report The U.S. Energy Information Administration (EIA) collects and publishes natural gas storage information on a monthly and weekly basis. The Form EIA-191, Monthly Underground Natural Gas Storage Report, is a census survey that collects field-level

  8. Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Subia, Samuel Ramirez; Neckels, David; Hopkins, Matthew Morgan; Notz, Patrick K.; Adams, Brian M.; Carnes, Brian; Wittwer, Jonathan W.; Bichon, Barron J.; Copps, Kevin D.

    2006-10-01

    This report documents the results for an FY06 ASC Algorithms Level 2 milestone combining error estimation and adaptivity, uncertainty quantification, and probabilistic design capabilities applied to the analysis and design of bistable MEMS. Through the use of error estimation and adaptive mesh refinement, solution verification can be performed in an automated and parameter-adaptive manner. The resulting uncertainty analysis and probabilistic design studies are shown to be more accurate, efficient, reliable, and convenient.

  9. V-235: Cisco Mobility Services Engine Configuration Error Lets Remote Users

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

    Login Anonymously | Department of Energy 5: Cisco Mobility Services Engine Configuration Error Lets Remote Users Login Anonymously V-235: Cisco Mobility Services Engine Configuration Error Lets Remote Users Login Anonymously September 5, 2013 - 12:33am Addthis PROBLEM: A vulnerability was reported in Cisco Mobility Services Engine. A remote user can login anonymously. PLATFORM: Cisco Mobility Services Engine ABSTRACT: A vulnerability in Cisco Mobility Services Engine could allow an

  10. Progress in Understanding Error-field Physics in NSTX Spherical Torus Plasmas

    SciTech Connect (OSTI)

    E. Menard, R.E. Bell, D.A. Gates, S.P. Gerhardt, J.-K. Park, S.A. Sabbagh, J.W. Berkery, A. Egan, J. Kallman, S.M. Kaye, B. LeBlanc, Y.Q. Liu, A. Sontag, D. Swanson, H. Yuh, W. Zhu and the NSTX Research Team

    2010-05-19

    The low aspect ratio, low magnetic field, and wide range of plasma beta of NSTX plasmas provide new insight into the origins and effects of magnetic field errors. An extensive array of magnetic sensors has been used to analyze error fields, to measure error field amplification, and to detect resistive wall modes in real time. The measured normalized error-field threshold for the onset of locked modes shows a linear scaling with plasma density, a weak to inverse dependence on toroidal field, and a positive scaling with magnetic shear. These results extrapolate to a favorable error field threshold for ITER. For these low-beta locked-mode plasmas, perturbed equilibrium calculations find that the plasma response must be included to explain the empirically determined optimal correction of NSTX error fields. In high-beta NSTX plasmas exceeding the n=1 no-wall stability limit where the RWM is stabilized by plasma rotation, active suppression of n=1 amplified error fields and the correction of recently discovered intrinsic n=3 error fields have led to sustained high rotation and record durations free of low-frequency core MHD activity. For sustained rotational stabilization of the n=1 RWM, both the rotation threshold and magnitude of the amplification are important. At fixed normalized dissipation, kinetic damping models predict rotation thresholds for RWM stabilization to scale nearly linearly with particle orbit frequency. Studies for NSTX find that orbit frequencies computed in general geometry can deviate significantly from those computed in the high aspect ratio and circular plasma cross-section limit, and these differences can strongly influence the predicted RWM stability. The measured and predicted RWM stability is found to be very sensitive to the E × B rotation profile near the plasma edge, and the measured critical rotation for the RWM is approximately a factor of two higher than predicted by the MARS-F code using the semi-kinetic damping model.

  11. Sample rotating turntable kit for infrared spectrometers

    DOE Patents [OSTI]

    Eckels, Joel Del (Livermore, CA); Klunder, Gregory L. (Oakland, CA)

    2008-03-04

    An infrared spectrometer sample rotating turntable kit has a rotatable sample cup containing the sample. The infrared spectrometer has an infrared spectrometer probe for analyzing the sample and the rotatable sample cup is adapted to receive the infrared spectrometer probe. A reflectance standard is located in the rotatable sample cup. A sleeve is positioned proximate the sample cup and adapted to receive the probe. A rotator rotates the rotatable sample cup. A battery is connected to the rotator.

  12. Apparatus and method for handheld sampling

    DOE Patents [OSTI]

    Staab, Torsten A.

    2005-09-20

    The present invention includes an apparatus, and corresponding method, for taking a sample. The apparatus is built around a frame designed to be held in at least one hand. A sample media is used to secure the sample. A sample media adapter for securing the sample media is operated by a trigger mechanism connectively attached within the frame to the sample media adapter.

  13. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L E

    1992-01-01

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE). This document contains the planned schedule for routine sample collection for the Surface Environmental Surveillance Project (SESP) and Ground-Water Monitoring Project. Samples for radiological analyses include Air-Particulate Filter, gases and vapor; Water/Columbia River, Onsite Pond, Spring, Irrigation, and Drinking; Foodstuffs/Animal Products including Whole Milk, Poultry and Eggs, and Beef; Foodstuffs/Produce including Leafy Vegetables, Vegetables, and Fruit; Foodstuffs/Farm Products including Wine, Wheat and Alfalfa; Wildlife; Soil; Vegetation; and Sediment. Direct Radiation Measurements include Terrestrial Locations, Columbia River Shoreline Locations, and Onsite Roadway, Railway and Aerial, Radiation Surveys.

  14. The Ocean Sampling Day Consortium

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

    Kopf, Anna; Bicak, Mesude; Kottmann, Renzo; Schnetzer, Julia; Kostadinov, Ivaylo; Lehmann, Katja; Fernandez-Guerra, Antonio; Jeanthon, Christian; Rahav, Eyal; Ullrich, Matthias; et al

    2015-06-19

    In this study, Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and theirmore » embedded functional traits.« less

  15. Quantifying the Effect of Lidar Turbulence Error on Wind Power Prediction

    SciTech Connect (OSTI)

    Newman, Jennifer F.; Clifton, Andrew

    2016-01-01

    Currently, cup anemometers on meteorological towers are used to measure wind speeds and turbulence intensity to make decisions about wind turbine class and site suitability; however, as modern turbine hub heights increase and wind energy expands to complex and remote sites, it becomes more difficult and costly to install meteorological towers at potential sites. As a result, remote-sensing devices (e.g., lidars) are now commonly used by wind farm managers and researchers to estimate the flow field at heights spanned by a turbine. Although lidars can accurately estimate mean wind speeds and wind directions, there is still a large amount of uncertainty surrounding the measurement of turbulence using these devices. Errors in lidar turbulence estimates are caused by a variety of factors, including instrument noise, volume averaging, and variance contamination, in which the magnitude of these factors is highly dependent on measurement height and atmospheric stability. As turbulence has a large impact on wind power production, errors in turbulence measurements will translate into errors in wind power prediction. The impact of using lidars rather than cup anemometers for wind power prediction must be understood if lidars are to be considered a viable alternative to cup anemometers.In this poster, the sensitivity of power prediction error to typical lidar turbulence measurement errors is assessed. Turbulence estimates from a vertically profiling WINDCUBE v2 lidar are compared to high-resolution sonic anemometer measurements at field sites in Oklahoma and Colorado to determine the degree of lidar turbulence error that can be expected under different atmospheric conditions. These errors are then incorporated into a power prediction model to estimate the sensitivity of power prediction error to turbulence measurement error. Power prediction models, including the standard binning method and a random forest method, were developed using data from the aeroelastic simulator FAST for a 1.5 MW turbine. The impact of lidar turbulence error on the predicted power from these different models is examined to determine the degree of turbulence measurement accuracy needed for accurate power prediction.

  16. Microsoft Word - Ventilation System Sampling Results 1

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

    Ventilation System Sampling Results Air sampling results before and after the High Efficiency Particulate Air (HEPA) filters at WIPP are available here. Station A samples air before the filters and Station B samples air after passing through the filters. These samples were analyzed following the detection of airborne radioactivity on February 14, 2014. They are not environmental samples, and are not representative of the public or worker breathing zone air samples. They do provide assurance that

  17. Attachment 2: Solicitation for Offers with New and Revised Green Lease Text

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

    | Department of Energy 2: Solicitation for Offers with New and Revised Green Lease Text Attachment 2: Solicitation for Offers with New and Revised Green Lease Text PDF icon Solicitation for Offers Paragraphs with New and Revised Green Lease Text More Documents & Publications Attachment 1: Green Lease Policies and Procedures for Lease Acquisition Attachment 4: Unrevised SFO Paragraphs Reissued Green Lease Policies and Procedures for Lease Acquisition

  18. Next Generation Lunch: Revealing the World's First 3D Printed Car (text

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

    version) | Department of Energy Next Generation Lunch: Revealing the World's First 3D Printed Car (text version) Next Generation Lunch: Revealing the World's First 3D Printed Car (text version) Below is the text version for the Next Generation Lunch: Revealing the World's First 3D Printed Car Video. FILE NAME: AEMC_09172014_luncheonaddress_nextgeneration SPEAKER: Ladies and gentleman, welcome and good afternoon. Please give a warm welcome to Dr. Mark Johnson, U.S. Department of Energy.

  19. Text-Alternative Version: CALiPER Series 21 on LED Linear Lamps and Troffer

    Energy Savers [EERE]

    Lighting | Department of Energy Information Resources » Videos » Text-Alternative Version: CALiPER Series 21 on LED Linear Lamps and Troffer Lighting Text-Alternative Version: CALiPER Series 21 on LED Linear Lamps and Troffer Lighting Following is a text version of a video about CALiPER Application Report Series 21 on LED Linear Lamps and Troffer Lighting. Tracy Beeson, Lighting Engineer, Pacific Northwest National Laboratory: Fluorescent troffers are widely used in office spaces, meeting

  20. DOE ZERH Webinar: Design Strategies for Ducts in Conditioned Spaces (Text

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

    Version) | Department of Energy Design Strategies for Ducts in Conditioned Spaces (Text Version) DOE ZERH Webinar: Design Strategies for Ducts in Conditioned Spaces (Text Version) Below is a text version of the webinar titled "Design Strategies for Ducts in Conditioned Spaces," originally presented in March 2014 and part of DOE Zero Energy Ready Home (formerly Challenge Home) tech training webinar series. Watch the presentation. Lindsay Parker: Slide 1: Hi, everyone. Thank-you so

  1. DOE ZERH Webinar: Going Green and Building FORTIFIED Homes, Part I (Text

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

    Version) | Department of Energy FORTIFIED Homes, Part I (Text Version) DOE ZERH Webinar: Going Green and Building FORTIFIED Homes, Part I (Text Version) Below is the text version of the webinar, Going Green and Building Strong: Building a FORTIFIED Home -- Part I, presented in June 2014. Watch the presentation. Lindsay Parker: Welcome to the DOE Zero Energy Ready Home technical training webinar series. We're really excited that you can join us today for this session on Building FORTIFIED

  2. How Do Distributed Wind Energy Systems Work? (Text Version) | Department of

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

    Energy How Do Distributed Wind Energy Systems Work? (Text Version) How Do Distributed Wind Energy Systems Work? (Text Version) Below is the text version for the How Do Distributed Wind Energy Systems Work? animation. The animation shows a city powered by wind power. It includes a utility-scale wind farm, connected by transmission lines to a city with homes, farms, and a school. The animation explains how wind can be used at all of these interconnected locations. Distributed Wind Distributed

  3. ZERH Webinar: Getting Enclosures Right in Zero Energy Ready Homes (Text

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

    Version) | Department of Energy Getting Enclosures Right in Zero Energy Ready Homes (Text Version) ZERH Webinar: Getting Enclosures Right in Zero Energy Ready Homes (Text Version) Here is the text version of the webinar Getting Enclosures Right in Zero Energy Ready Homes, presented in February 2016. Watch the presentation. Alex Krowka: Welcome to DOE Zero Energy Ready Home's technical training webinar series. We're really excited that you can join us today for this session on getting

  4. Cathy Zoi on the New Home Energy Score Pilot Program (Text Version) |

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

    Department of Energy Cathy Zoi on the New Home Energy Score Pilot Program (Text Version) Cathy Zoi on the New Home Energy Score Pilot Program (Text Version) Below is the text version of the video, Cathy Zoi on the New Home Energy Score Pilot Program, presented on November 19, 2010. In addition to this text version of the audio, you can view the video. Cathy Zoi: Hi. I'm Cathy Zoi, acting undersecretary of Energy. I'm excited to expand upon an announcement Vice President Biden just made to

  5. DOE Zero Energy Ready Home Low Load High Efficiency HVAC Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the DOE Zero Energy Ready Home webinar, Low Load High Efficiency HVAC, presented in May 2014.

  6. Community Renewable Energy Success Stories: Landfill Gas-to-Energy Projects Webinar (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the Webinar titled "Community Renewable Energy Success Stories: Landfill Gas-to-Energy Projects," originally presented on July 17, 2012.

  7. Lessons Learned and the Better Buildings Residential Program Solution Center- Text-Alternative Version

    Broader source: Energy.gov [DOE]

    This is the text-alternative version of the "Lessons Learned & the Better Buildings Residential Program Solution Center" webinar held March 24,2016.

  8. Text-Alternative Version: Boston Manufacturing R&D Workshop Video

    Broader source: Energy.gov [DOE]

    Following is a text version of Jim Brodrick's welcome presentation video from the April 2011 DOE SSL Manufacturing R&D Workshop in Boston, Massachusetts.

  9. Text-Alternative Version: San Diego R&D Workshop Video

    Broader source: Energy.gov [DOE]

    Following is a text version of Jim Brodrick's opening presentation video from the February 2011 DOE SSL R&D Workshop in San Diego, California.

  10. Sales and Value Recognition for Zero Energy Ready Home Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar, Sales and Value Recognition for Zero Energy Ready Home, presented in December 2014. Watch the presentation.

  11. DOE Challenge Home Gaining Recognition as a Leader Webinar (Text Version) |

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

    Department of Energy DOE Challenge Home Gaining Recognition as a Leader Webinar (Text Version) DOE Challenge Home Gaining Recognition as a Leader Webinar (Text Version) Below is a text version of the webinar titled "Gaining Recognition as a Leader," originally presented in May 2013. In addition to this text version of the audio, you can access a recording of the webinar. Sam Rashkin: Slide 1: This is about the DOE Challenge Home as a way for builders to be recognized a leader.

  12. DOE Zero Energy Ready Home High-Performance Home Sales Training Part II Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar DOE Zero Energy Ready Home High-Performance Home Sales Training Part II, presented in February 2015. Watch the presentation.

  13. Home Energy Score Update: New Simulation Training & Requirements for Assessors Webinar-- Text Version

    Broader source: Energy.gov [DOE]

    Below is the text version of the Home Energy Score Update: New Simulation Training and Requirements for Assessors webinar, presented in March 2015.

  14. Lessons Learned & the Better Buildings Residential Program Solution Center- Text-Alternative Version

    Broader source: Energy.gov [DOE]

    This is the text-alternative version of the "Lessons Learned & the Better Buildings Residential Program Solution Center" webinar held March 24,2016.

  15. Text-Alternative Version: CALiPER: Troffers, Kits, and Tubes Webcast

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "CALiPER: Troffers, Kits, and Tubes" webcast, held June 20, 2013.

  16. Text-Alternative Version: L Prize-PAR 38 Competition: A New Start

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "L Prize-PAR 38 Competition: A New Start" webcast, held March 27, 2012.

  17. EECLP Webinar #3: Residential Energy Efficiency Deep Dive Part 1-- Text Version

    Broader source: Energy.gov [DOE]

    Below is the text version of the EECLP Webinar 3: Residential Energy Efficiency Deep Dive Part 1, presented in December 2014.

  18. Home Energy Score Update: New Simulation Training and Requirements for Assessors Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the Home Energy Score Update: New Simulation Training and Requirements for Assessors webinar, presented in March 2015.

  19. Text-Alternative Version: SSL Luminaire Performance in the Lab: Just How Well Do They Perform?

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the SSL Luminaire Performance in the Lab: Just How Well Do They Perform webcast.

  20. Text-Alternative Version: MSSLC Member Case Studies- LED Street Lighting Programs Webinar

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "MSSLC Member Case Studies - LED Street Lighting Programs" webcast, held May 8, 2013.

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

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "Using the Street and Parking Facility Lighting Retrofit Financial Analysis Tool" webcast, held August 22, 2013.

  2. Community Renewable Energy Success Stories Webinar: Developing PV Projects with RFPs and PPAs (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar titled "Developing PV Projects with RFPS and PPAS," originally presented on January 15, 2013.

  3. Marketing and Sales Solutions for Zero Energy Ready Homes Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar, Marketing and Sales Solutions for Zero Energy Ready Homes, presented in June 2014.

  4. Enhance Your Home Inspection Business with Home Energy Score Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Here is the text version of the webinar Enhance Your Home Inspection Business with Home Energy Score, presented in March 2016. Watch the presentation.

  5. DOE Building Energy Asset Score: Energy Efficiency Services Companies Webinar (Text Version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar DOE Building Energy Asset Score: Energy Efficiency Services Companies, presented in March 2015.

  6. Text-Alternative Version: CALiPER Round 7 Testing Results and SSL Product Life Issues

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the CALiPER Round 7 Testing Results and SSL Product Life Issues webcast.

  7. EECLP Webinar #4: Residential Energy Efficiency Deep Dive Part 2-- Text Version

    Broader source: Energy.gov [DOE]

    Below is the text version of the EECLP Webinar 4: Residential Energy Efficiency Deep Dive Part Two, presented in December 2014.

  8. Community Renewable Energy Success Stories: Wind Energy in Urban Environments Webinar (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the Webinar titled "Community Renewable Energy Success Stories: Wind Energy in Urban Environments," originally presented on September 18, 2012.

  9. Text-Alternative Version: Municipal Solid-State Street Lighting Consortium Kickoff

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the Municipal Solid-State Street Lighting Consortium Kickoff webcast, held May 6, 2010.

  10. Community Renewable Energy Success Stories Webinar: Exploring How Municipal Utilities Fund Solar Energy Projects (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the webinar titled "Exploring How Municipal Utilities Fund Solar Energy Projects," originally presented on February 19, 2013.

  11. Text-Alternative Version: Municipal Solid-State Street Lighting Consortium Retrofit Financial Analysis Tool Webcast

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "Municipal Solid-State Street Lighting Consortium Retrofit Financial Analysis Tool" webcast, held April 3, 2012.

  12. Text Alternative Version: Life-Cycle Assessment of Energy and Environmental Impacts of LED Lighting Products

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "Life-Cycle Assessment of Energy and Environmental Impacts of LED Lighting Products" webcast, held March 28, 2013.

  13. Text-Alternative Version: LED Replacement Lamps: Current Performance and the Latest on ENERGY STAR®

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the LED Replacement Lamps: Current Performance and the Latest on ENERGY STAR® webcast.

  14. Community Renewable Energy Success Stories Webinar: Net Zero Energy Communities (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the Webinar titled "Community Renewable Energy Success Stories – Net Zero Energy Communities," originally presented on October 16, 2012.

  15. Text-Alternative Version: CALiPER Round 11 Test Results

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "U.S. DOE CALiPER Program Summary of Most Recent Testing" webcast, held February 8, 2011.

  16. Notes on power of normality tests of error terms in regression models

    SciTech Connect (OSTI)

    Střelec, Luboš

    2015-03-10

    Normality is one of the basic assumptions in applying statistical procedures. For example in linear regression most of the inferential procedures are based on the assumption of normality, i.e. the disturbance vector is assumed to be normally distributed. Failure to assess non-normality of the error terms may lead to incorrect results of usual statistical inference techniques such as t-test or F-test. Thus, error terms should be normally distributed in order to allow us to make exact inferences. As a consequence, normally distributed stochastic errors are necessary in order to make a not misleading inferences which explains a necessity and importance of robust tests of normality. Therefore, the aim of this contribution is to discuss normality testing of error terms in regression models. In this contribution, we introduce the general RT class of robust tests for normality, and present and discuss the trade-off between power and robustness of selected classical and robust normality tests of error terms in regression models.

  17. Gross error detection and stage efficiency estimation in a separation process

    SciTech Connect (OSTI)

    Serth, R.W.; Srikanth, B. . Dept. of Chemical and Natural Gas Engineering); Maronga, S.J. . Dept. of Chemical and Process Engineering)

    1993-10-01

    Accurate process models are required for optimization and control in chemical plants and petroleum refineries. These models involve various equipment parameters, such as stage efficiencies in distillation columns, the values of which must be determined by fitting the models to process data. Since the data contain random and systematic measurement errors, some of which may be large (gross errors), they must be reconciled to obtain reliable estimates of equipment parameters. The problem thus involves parameter estimation coupled with gross error detection and data reconciliation. MacDonald and Howat (1988) studied the above problem for a single-stage flash distillation process. Their analysis was based on the definition of stage efficiency due to Hausen, which has some significant disadvantages in this context, as discussed below. In addition, they considered only data sets which contained no gross errors. The purpose of this article is to extend the above work by considering alternative definitions of state efficiency and efficiency estimation in the presence of gross errors.

  18. Offline solid phase microextraction sampling system

    DOE Patents [OSTI]

    Harvey, Chris A.

    2008-12-16

    An offline solid phase microextraction (SPME) sampling apparatus for enabling SPME samples to be taken a number of times from a previously collected fluid sample (e.g. sample atmosphere) stored in a fused silica lined bottle which keeps volatile organics in the fluid sample stable for weeks at a time. The offline SPME sampling apparatus has a hollow body surrounding a sampling chamber, with multiple ports through which a portion of a previously collected fluid sample may be (a) released into the sampling chamber, (b) SPME sampled to collect analytes for subsequent GC analysis, and (c) flushed/purged using a fluidically connected vacuum source and purging fluid source to prepare the sampling chamber for additional SPME samplings of the same original fluid sample, such as may have been collected in situ from a headspace.

  19. Sampling strategies for subsampled segmented EPI PRF thermometry in MR guided high intensity focused ultrasound

    SciTech Connect (OSTI)

    Odéen, Henrik Diakite, Mahamadou; Todd, Nick; Minalga, Emilee; Payne, Allison; Parker, Dennis L.

    2014-09-15

    Purpose: To investigate k-space subsampling strategies to achieve fast, large field-of-view (FOV) temperature monitoring using segmented echo planar imaging (EPI) proton resonance frequency shift thermometry for MR guided high intensity focused ultrasound (MRgHIFU) applications. Methods: Five different k-space sampling approaches were investigated, varying sample spacing (equally vs nonequally spaced within the echo train), sampling density (variable sampling density in zero, one, and two dimensions), and utilizing sequential or centric sampling. Three of the schemes utilized sequential sampling with the sampling density varied in zero, one, and two dimensions, to investigate sampling the k-space center more frequently. Two of the schemes utilized centric sampling to acquire the k-space center with a longer echo time for improved phase measurements, and vary the sampling density in zero and two dimensions, respectively. Phantom experiments and a theoretical point spread function analysis were performed to investigate their performance. Variable density sampling in zero and two dimensions was also implemented in a non-EPI GRE pulse sequence for comparison. All subsampled data were reconstructed with a previously described temporally constrained reconstruction (TCR) algorithm. Results: The accuracy of each sampling strategy in measuring the temperature rise in the HIFU focal spot was measured in terms of the root-mean-square-error (RMSE) compared to fully sampled “truth.” For the schemes utilizing sequential sampling, the accuracy was found to improve with the dimensionality of the variable density sampling, giving values of 0.65?°C, 0.49?°C, and 0.35?°C for density variation in zero, one, and two dimensions, respectively. The schemes utilizing centric sampling were found to underestimate the temperature rise, with RMSE values of 1.05?°C and 1.31?°C, for variable density sampling in zero and two dimensions, respectively. Similar subsampling schemes with variable density sampling implemented in zero and two dimensions in a non-EPI GRE pulse sequence both resulted in accurate temperature measurements (RMSE of 0.70?°C and 0.63?°C, respectively). With sequential sampling in the described EPI implementation, temperature monitoring over a 192 × 144 × 135 mm{sup 3} FOV with a temporal resolution of 3.6 s was achieved, while keeping the RMSE compared to fully sampled “truth” below 0.35?°C. Conclusions: When segmented EPI readouts are used in conjunction with k-space subsampling for MR thermometry applications, sampling schemes with sequential sampling, with or without variable density sampling, obtain accurate phase and temperature measurements when using a TCR reconstruction algorithm. Improved temperature measurement accuracy can be achieved with variable density sampling. Centric sampling leads to phase bias, resulting in temperature underestimations.

  20. CFCNCA Sample Pledge Form | Department of Energy

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

    CFCNCA Sample Pledge Form CFCNCA Sample Pledge Form This file contains a sample pledge form and instructions for completing a paper donation through the CFC. PDF icon CFCNCA Fall 2012 Sample Pledge Form.pdf More Documents & Publications CFCNCA Sample Pledge Form 2012 CFCNCA Catalog of Caring DOE F 3630.1 Rights and Benefits of Reservists Called to Active Duty