Sample records for relative standard errors

  1. RSE Table 8.2 Relative Standard Errors for Table 8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 Relative Standard

  2. RSE Table 3.1 Relative Standard Errors for Table 3.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative

  3. RSE Table 3.2 Relative Standard Errors for Table 3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative2

  4. RSE Table 3.5 Relative Standard Errors for Table 3.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative25

  5. RSE Table 4.2 Relative Standard Errors for Table 4.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative

  6. RSE Table 5.1 Relative Standard Errors for Table 5.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative1

  7. RSE Table 5.4 Relative Standard Errors for Table 5.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124 Relative

  8. RSE Table 1.1 Relative Standard Errors for Table 1.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:

  9. RSE Table 1.2 Relative Standard Errors for Table 1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2

  10. RSE Table 10.10 Relative Standard Errors for Table 10.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20

  11. RSE Table 10.11 Relative Standard Errors for Table 10.11

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:201

  12. RSE Table 10.12 Relative Standard Errors for Table 10.12

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2012

  13. RSE Table 10.13 Relative Standard Errors for Table 10.13

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20123

  14. RSE Table 2.1 Relative Standard Errors for Table 2.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "

  15. RSE Table 4.1 Relative Standard Errors for Table 4.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1

  16. RSE Table 5.2 Relative Standard Errors for Table 5.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12

  17. RSE Table 5.5 Relative Standard Errors for Table 5.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124

  18. RSE Table 5.6 Relative Standard Errors for Table 5.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246

  19. RSE Table 5.7 Relative Standard Errors for Table 5.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467

  20. RSE Table 5.8 Relative Standard Errors for Table 5.8

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678

  1. RSE Table 7.10 Relative Standard Errors for Table 7.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780

  2. RSE Table 7.3 Relative Standard Errors for Table 7.3

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803

  3. RSE Table 7.4 Relative Standard Errors for Table 7.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034

  4. RSE Table 7.5 Relative Standard Errors for Table 7.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780345

  5. RSE Table 7.6 Relative Standard Errors for Table 7.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803456

  6. RSE Table 7.7 Relative Standard Errors for Table 7.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034567

  7. RSE Table 7.9 Relative Standard Errors for Table 7.9

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"

  8. "RSE Table E13.1. Relative Standard Errors for Table E13.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard Errors

  9. "RSE Table E13.2. Relative Standard Errors for Table E13.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard

  10. "RSE Table E13.3. Relative Standard Errors for Table E13.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard3.

  11. "RSE Table E2.1. Relative Standard Errors for Table E2.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard3.E2.1.

  12. RSE Table E6.1 and E6.2. Relative Standard Errors for Tables E6.1 and E6.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 Relative

  13. RSE Table E8.1 and E8.2. Relative Standard Errors for Tables E8.1 and E8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1 and

  14. RSE Table N1.1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1 and1

  15. RSE Table N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1

  16. RSE Table N3.1 and N3.2. Relative Standard Errors for Tables N3.1 and N3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1N3.1

  17. RSE Table N4.1 and N4.2. Relative Standard Errors for Tables N4.1 and N4.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2

  18. RSE Table N6.1 and N6.2. Relative Standard Errors for Tables N6.1 and N6.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.

  19. RSE Table N6.3 and N6.4. Relative Standard Errors for Tables N6.3 and N6.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3 and

  20. RSE Table N8.1 and N8.2. Relative Standard Errors for Tables N8.1 and N8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3 and1

  1. RSE Table S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3

  2. RSE Table S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3S2.1

  3. RSE Table S3.1 and S3.2. Relative Standard Errors for Tables S3.1 and S3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and

  4. "RSE Table E7.2. Relative Standard Errors for Table E7.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2. Relative

  5. "RSE Table N1.3. Relative Standard Errors for Table N1.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2. Relative.3.

  6. "RSE Table N11.1. Relative Standard Errors for Table N11.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2. Relative.3.1.

  7. "RSE Table N11.3. Relative Standard Errors for Table N11.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3. Relative

  8. "RSE Table N11.4. Relative Standard Errors for Table N11.4;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3. Relative4.

  9. "RSE Table N13.3. Relative Standard Errors for Table N13.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3. Relative

  10. "RSE Table C10.3. Relative Standard Errors for Table C10.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3. Relative

  11. "RSE Table C11.3. Relative Standard Errors for Table C11.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3. Relative1.3.

  12. "RSE Table C2.1. Relative Standard Errors for Table C2.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1. Relative

  13. "RSE Table E7.1. Relative Standard Errors for Table E7.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative

  14. "RSE Table N11.2. Relative Standard Errors for Table N11.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.

  15. "RSE Table N13.1. Relative Standard Errors for Table N13.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.

  16. "RSE Table N5.1. Relative Standard Errors for Table N5.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.

  17. "RSE Table N5.2. Relative Standard Errors for Table N5.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.2.

  18. "RSE Table N7.1. Relative Standard Errors for Table N7.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.2.N7.1.

  19. "RSE Table N8.3. Relative Standard Errors for Table N8.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.2.N7.1.3.

  20. Maintaining Standards: Differences between the Standard Deviation and Standard Error, and

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Maintaining Standards: Differences between the Standard Deviation and Standard Error, and When to Use Each David L Streiner, PhD1 Many people confuse the standard deviation (SD) and the standard error of the mean (SE) and are unsure which, if either, to use in presenting data in graphical or tabular form

  1. Universally Valid Error-Disturbance Relations in Continuous Measurements

    E-Print Network [OSTI]

    Atsushi Nishizawa; Yanbei Chen

    2015-05-31T23:59:59.000Z

    In quantum physics, measurement error and disturbance were first naively thought to be simply constrained by the Heisenberg uncertainty relation. Later, more rigorous analysis showed that the error and disturbance satisfy more subtle inequalities. Several versions of universally valid error-disturbance relations (EDR) have already been obtained and experimentally verified in the regimes where naive applications of the Heisenberg uncertainty relation failed. However, these EDRs were formulated for discrete measurements. In this paper, we consider continuous measurement processes and obtain new EDR inequalities in the Fourier space: in terms of the power spectra of the system and probe variables. By applying our EDRs to a linear optomechanical system, we confirm that a tradeoff relation between error and disturbance leads to the existence of an optimal strength of the disturbance in a joint measurement. Interestingly, even with this optimal case, the inequality of the new EDR is not saturated because of doublely existing standard quantum limits in the inequality.

  2. Integrating human related errors with technical errors to determine causes behind offshore accidents

    E-Print Network [OSTI]

    Aamodt, Agnar

    Integrating human related errors with technical errors to determine causes behind offshore of offshore accidents there is a continuous focus on safety improvements. An improved evaluation method concepts in the model are structured in hierarchical categories, based on well-established knowledge

  3. Quantum root-mean-square error and measurement uncertainty relations

    E-Print Network [OSTI]

    Paul Busch; Pekka Lahti; Reinhard F Werner

    2014-10-10T23:59:59.000Z

    Recent years have witnessed a controversy over Heisenberg's famous error-disturbance relation. Here we resolve the conflict by way of an analysis of the possible conceptualizations of measurement error and disturbance in quantum mechanics. We discuss two approaches to adapting the classic notion of root-mean-square error to quantum measurements. One is based on the concept of noise operator; its natural operational content is that of a mean deviation of the values of two observables measured jointly, and thus its applicability is limited to cases where such joint measurements are available. The second error measure quantifies the differences between two probability distributions obtained in separate runs of measurements and is of unrestricted applicability. We show that there are no nontrivial unconditional joint-measurement bounds for {\\em state-dependent} errors in the conceptual framework discussed here, while Heisenberg-type measurement uncertainty relations for {\\em state-independent} errors have been proven.

  4. Department of Energy Labor Relations and Standards

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

    2014-02-06T23:59:59.000Z

    The change would be to remove Chapter I, Labor Relations, and Chapter II Labor Standards from DOE O 350.1 and develop DOE O DOE O 350.3, which will cancel and supersede Chapters I and II in DOE O 350.1. Content of the two chapters will be updated to reflect the Secretarial determination transferring functions for contractor labor relations and labor standards from the Office of Legacy Management to the Office of General Counsel. CRDs for those chapters will also be removed.

  5. Removing Barriers to Innovations: Related Codes and Standards...

    Energy Savers [EERE]

    Removing Barriers to Innovations: Related Codes and Standards CSI Team Removing Barriers to Innovations: Related Codes and Standards CSI Team This presentation was delivered at the...

  6. Statistical evaluation of design-error related accidents

    SciTech Connect (OSTI)

    Ott, K.O.; Marchaterre, J.F.

    1980-01-01T23:59:59.000Z

    In a recently published paper (Campbell and Ott, 1979), a general methodology was proposed for the statistical evaluation of design-error related accidents. The evaluation aims at an estimate of the combined residual frequency of yet unknown types of accidents lurking in a certain technological system. Here, the original methodology is extended, as to apply to a variety of systems that evolves during the development of large-scale technologies. A special categorization of incidents and accidents is introduced to define the events that should be jointly analyzed. The resulting formalism is applied to the development of the nuclear power reactor technology, considering serious accidents that involve in the accident-progression a particular design inadequacy.

  7. Table 2b. Relative Standard Errors for Electricity Consumption and

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773

  8. Toward standard testbeds for numerical relativity

    E-Print Network [OSTI]

    Miguel Alcubierre; Gabrielle Allen; Carles Bona; David Fiske; Tom Goodale; F. Siddharta Guzman; Ian Hawke; Scott H. Hawley; Sascha Husa; Michael Koppitz; Christiane Lechner; Denis Pollney; David Rideout; Marcelo Salgado; Erik Schnetter; Edward Seidel; Hisa-aki Shinkai; Bela Szilagyi; Deirdre Shoemaker; Ryoji Takahashi; Jeffrey Winicour

    2003-05-06T23:59:59.000Z

    In recent years, many different numerical evolution schemes for Einstein's equations have been proposed to address stability and accuracy problems that have plagued the numerical relativity community for decades. Some of these approaches have been tested on different spacetimes, and conclusions have been drawn based on these tests. However, differences in results originate from many sources, including not only formulations of the equations, but also gauges, boundary conditions, numerical methods, and so on. We propose to build up a suite of standardized testbeds for comparing approaches to the numerical evolution of Einstein's equations that are designed to both probe their strengths and weaknesses and to separate out different effects, and their causes, seen in the results. We discuss general design principles of suitable testbeds, and we present an initial round of simple tests with periodic boundary conditions. This is a pivotal first step toward building a suite of testbeds to serve the numerical relativists and researchers from related fields who wish to assess the capabilities of numerical relativity codes. We present some examples of how these tests can be quite effective in revealing various limitations of different approaches, and illustrating their differences. The tests are presently limited to vacuum spacetimes, can be run on modest computational resources, and can be used with many different approaches used in the relativity community.

  9. SYSTEMATIC CONTINUUM ERRORS IN THE Ly{alpha} FOREST AND THE MEASURED TEMPERATURE-DENSITY RELATION

    SciTech Connect (OSTI)

    Lee, Khee-Gan, E-mail: lee@astro.princeton.edu [Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544 (United States)

    2012-07-10T23:59:59.000Z

    Continuum fitting uncertainties are a major source of error in estimates of the temperature-density relation (usually parameterized as a power-law, T {proportional_to} {Delta}{sup {gamma}-1}) of the intergalactic medium through the flux probability distribution function (PDF) of the Ly{alpha} forest. Using a simple order-of-magnitude calculation, we show that few percent-level systematic errors in the placement of the quasar continuum due to, e.g., a uniform low-absorption Gunn-Peterson component could lead to errors in {gamma} of the order of unity. This is quantified further using a simple semi-analytic model of the Ly{alpha} forest flux PDF. We find that under(over)estimates in the continuum level can lead to a lower (higher) measured value of {gamma}. By fitting models to mock data realizations generated with current observational errors, we find that continuum errors can cause a systematic bias in the estimated temperature-density relation of ({delta}({gamma})) Almost-Equal-To -0.1, while the error is increased to {sigma}{sub {gamma}} Almost-Equal-To 0.2 compared to {sigma}{sub {gamma}} Almost-Equal-To 0.1 in the absence of continuum errors.

  10. Approximating the erfinv function The inverse error function erfinv is a standard component of mathemat-

    E-Print Network [OSTI]

    Giles, Mike

    , and its inverse erfinv(x) are a standard part of libraries such as Intel's MKL, AMD's ACML and NVIDIA

  11. The Age-Redshift Relation for Standard Cosmology

    E-Print Network [OSTI]

    R. C. Thomas; R. Kantowski

    2000-08-10T23:59:59.000Z

    We present compact, analytic expressions for the age-redshift relation $\\tau(z)$ for standard Friedmann-Lema\\^ \\itre-Robertson-Walker (FLRW) cosmology. The new expressions are given in terms of incomplete Legendre elliptic integrals and evaluate much faster than by direct numerical integration.

  12. Operationally-Motivated Uncertainty Relations for Joint Measurability and the Error-Disturbance Tradeoff

    E-Print Network [OSTI]

    Joseph M. Renes; Volkher B. Scholz

    2014-02-26T23:59:59.000Z

    We derive new Heisenberg-type uncertainty relations for both joint measurability and the error-disturbance tradeoff for arbitrary observables of finite-dimensional systems. The relations are formulated in terms of a directly operational quantity, namely the probability of distinguishing the actual operation of a device from its hypothetical ideal, by any possible testing procedure whatsoever. Moreover, they may be directly applied in information processing settings, for example to infer that devices which can faithfully transmit information regarding one observable do not leak any information about conjugate observables to the environment. Though intuitively apparent from Heisenberg's original arguments, only more limited versions of this statement have previously been formalized.

  13. Neutrino statistics and non-standard commutation relations

    E-Print Network [OSTI]

    A. Yu. Ignatiev; V. A. Kuzmin

    2005-10-16T23:59:59.000Z

    Recently it was suggested that the neutrino may violate the Pauli exclusion Principle (PEP). This renews interest in the systematic search for bilinear commutation relations that could describe deviations from PEP. In the context of this search we prove a no-go theorem which forbids a finite occupancy limit for an arbitrary system with a bilinear commutation relation. In other words, either the upper limit on the occupancy number is 1 (the ordinary fermionic case) or there is no upper limit at all. Some examples of the latter class include the usual Bose statistics, as well as non-standard quon statistics and infinite statistics.

  14. Social Responsibility Standards: A Quick Glimpse Although efforts to establish measurements, standards and certifications related to

    E-Print Network [OSTI]

    Aalberts, Daniel P.

    : ISO Standard 24000--Social Responsibility: The International Organization current apply FSC standards for forest management. International Organic for Standardization is developing an international standard of voluntary guidelines for social

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773 January

  16. Table 3b. Relative Standard Errors for Total Natural Gas Consumption per

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV493,552.13,846.302.8Effective

  18. Table 5b. Relative Standard Errors for Total District Heat Consumption per

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet)4. U.S. Vehicle FuelFoot, 1992

  19. Table 6b. Relative Standard Errors for Total Electricity Consumption per

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet)4. U.S. Vehicle FuelFoot,Effective

  20. Predicting hurricane numbers from Sea Surface Temperature: closed form expressions for the mean, variance and standard error of the number of hurricanes

    E-Print Network [OSTI]

    Jewson, S

    2007-01-01T23:59:59.000Z

    One way to predict hurricane numbers would be to predict sea surface temperature, and then predict hurricane numbers as a function of the predicted sea surface temperature. For certain parametric models for sea surface temperature and the relationship between sea surface temperature and hurricane numbers, closed-form solutions exist for the mean and the variance of the number of predicted hurricanes, and for the standard error on the mean. We derive a number of such expressions.

  1. Existing and Past Methods of Test and Rating Standards Related to Integrated Heat Pump Technologies

    SciTech Connect (OSTI)

    Reedy, Wayne R. [Sentech, Inc.

    2010-07-01T23:59:59.000Z

    This report evaluates existing and past US methods of test and rating standards related to electrically operated air, water, and ground source air conditioners and heat pumps, 65,000 Btu/hr and under in capacity, that potentiality incorporate a potable water heating function. Two AHRI (formerly ARI) standards and three DOE waivers were identified as directly related. Six other AHRI standards related to the test and rating of base units were identified as of interest, as they would form the basis of any new comprehensive test procedure. Numerous other AHRI and ASHRAE component test standards were also identified as perhaps being of help in developing a comprehensive test procedure.

  2. Inventory of Safety-related Codes and Standards for Energy Storage Systems with some Experiences related to Approval and Acceptance

    SciTech Connect (OSTI)

    Conover, David R.

    2014-09-11T23:59:59.000Z

    The purpose of this document is to identify laws, rules, model codes, codes, standards, regulations, specifications (CSR) related to safety that could apply to stationary energy storage systems (ESS) and experiences to date securing approval of ESS in relation to CSR. This information is intended to assist in securing approval of ESS under current CSR and to identification of new CRS or revisions to existing CRS and necessary supporting research and documentation that can foster the deployment of safe ESS.

  3. Technical Review of Law Enforcement Standards and Guides Relative to Incident Management

    SciTech Connect (OSTI)

    Stenner, Robert D.; Salter, R.; Stanton, J. R.; Fisher, D.

    2009-03-24T23:59:59.000Z

    In an effort to locate potential law enforcement-related standards that support incident management, a team from the Pacific Northwest National Laboratory (PNNL) contacted representatives from the National Institute of Standards-Office of Law Enforcement Standards (NIST-OLES), National Institute of Justice (NIJ), Federal Bureau of Investigation (FBI), Secret Service, ASTM International committees that have a law enforcement focus, and a variety of individuals from local and regional law enforcement organizations. Discussions were held with various state and local law enforcement organizations. The NIJ has published several specific equipment-related law enforcement standards that were included in the review, but it appears that law enforcement program and process-type standards are developed principally by organizations that operate at the state and local level. Input is provided from state regulations and codes and from external non-government organizations (NGOs) that provide national standards. The standards that are adopted from external organizations or developed independently by state authorities are available for use by local law enforcement agencies on a voluntary basis. The extent to which they are used depends on the respective jurisdictions involved. In some instances, use of state and local disseminated standards is mandatory, but in most cases, use is voluntary. Usually, the extent to which these standards are used appears to depend on whether or not jurisdictions receive certification from a “governing” entity due to their use and compliance with the standards. In some cases, these certification-based standards are used in principal but without certification or other compliance monitoring. In general, these standards appear to be routinely used for qualification, selection for employment, and training. In these standards, the term “Peace Officer” is frequently used to refer to law enforcement personnel. This technical review of national law enforcement standards and guides identified the following four guides as having content that supports incident management: • TE-02-02 Guide to Radio Communications Interoperability Strategies and Products • OSHA 335-10N Preparing and Protecting Security Personnel in Emergencies • NIJ 181584 Fire and Arson Scene Evidence: A Guide for Public Safety Personnel • NIJ 181869 A Guide for Explosion and Bombing Scene Investigation In conversations with various state and local law enforcement officials, it was determined that the following National Fire Protection Association (NPFA) standards are generally recognized and tend to be universally used by law enforcement organizations across the country: • NFPA 1600 Standard on Disaster/Emergency Management and Business Continuity Programs • NFPA 1561 Standard on Fire Department Incident Management Systems • NFPA 472 Standard for Competence of Responders to Hazardous Materials/Weapons of Mass Destruction Incidents (2008 Edition) • NFPA 473 Standard for Competencies for EMS Personnel Responding to Hazardous Materials/Weapons of Mass Destruction Incidents (2008 Edition)

  4. Dynamic Prediction of Concurrency Errors

    E-Print Network [OSTI]

    Sadowski, Caitlin

    2012-01-01T23:59:59.000Z

    Relation 15 Must-Before Race Prediction 16 Implementation 17viii Abstract Dynamic Prediction of Concurrency Errors bySANTA CRUZ DYNAMIC PREDICTION OF CONCURRENCY ERRORS A

  5. Natural Resources Wales Standard Terms and Conditions for Goods (and related Services)

    E-Print Network [OSTI]

    Natural Resources Wales Standard Terms and Conditions for Goods (and related Services) Date: April 2013 Page 1 These Conditions may only be varied with the written agreement of Natural Resources Wales/Services are being performed; Contract - the contract between Natural Resources Wales and the Supplier

  6. Field error lottery

    SciTech Connect (OSTI)

    Elliott, C.J.; McVey, B. (Los Alamos National Lab., NM (USA)); Quimby, D.C. (Spectra Technology, Inc., Bellevue, WA (USA))

    1990-01-01T23:59:59.000Z

    The level of field errors in an FEL is an important determinant of its performance. We have computed 3D performance of a large laser subsystem subjected to field errors of various types. These calculations have been guided by simple models such as SWOOP. The technique of choice is utilization of the FELEX free electron laser code that now possesses extensive engineering capabilities. Modeling includes the ability to establish tolerances of various types: fast and slow scale field bowing, field error level, beam position monitor error level, gap errors, defocusing errors, energy slew, displacement and pointing errors. Many effects of these errors on relative gain and relative power extraction are displayed and are the essential elements of determining an error budget. The random errors also depend on the particular random number seed used in the calculation. The simultaneous display of the performance versus error level of cases with multiple seeds illustrates the variations attributable to stochasticity of this model. All these errors are evaluated numerically for comprehensive engineering of the system. In particular, gap errors are found to place requirements beyond mechanical tolerances of {plus minus}25{mu}m, and amelioration of these may occur by a procedure utilizing direct measurement of the magnetic fields at assembly time. 4 refs., 12 figs.

  7. "RSE Table C1.1. Relative Standard Errors for Table C1.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B Winter13434.1.

  8. "RSE Table C10.1. Relative Standard Errors for Table C10.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B Winter13434.1.1.

  9. "RSE Table C10.2. Relative Standard Errors for Table C10.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B

  10. "RSE Table C12.1. Relative Standard Errors for Table C12.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.

  11. "RSE Table C3.1. Relative Standard Errors for Table C3.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1.

  12. "RSE Table C4.1. Relative Standard Errors for Table C4.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1.C4.1.

  13. "RSE Table C9.1. Relative Standard Errors for Table C9.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1.C4.1.C9.1.

  14. "RSE Table E1.1. Relative Standard Errors for Table E1.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data

  15. Relating Doubly-Even Error-Correcting Codes, Graphs, and Irreducible Representations of N-Extended Supersymmetry

    E-Print Network [OSTI]

    C. F. Doran; M. G. Faux; S. J. Gates Jr; T. Hubsch; K. M. Iga; G. D. Landweber

    2008-05-31T23:59:59.000Z

    Previous work has shown that the classification of indecomposable off-shell representations of N-supersymmetry, depicted as Adinkras, may be factored into specifying the topologies available to Adinkras, and then the height-assignments for each topological type. The latter problem being solved by a recursive mechanism that generates all height-assignments within a topology, it remains to classify the former. Herein we show that this problem is equivalent to classifying certain (1) graphs and (2) error-correcting codes.

  16. Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms

    SciTech Connect (OSTI)

    Hou, Zhangshuan; Makarov, Yuri V.; Samaan, Nader A.; Etingov, Pavel V.

    2013-03-19T23:59:59.000Z

    Given the multi-scale variability and uncertainty of wind generation and forecast errors, it is a natural choice to use time-frequency representation (TFR) as a view of the corresponding time series represented over both time and frequency. Here we use wavelet transform (WT) to expand the signal in terms of wavelet functions which are localized in both time and frequency. Each WT component is more stationary and has consistent auto-correlation pattern. We combined wavelet analyses with time series forecast approaches such as ARIMA, and tested the approach at three different wind farms located far away from each other. The prediction capability is satisfactory -- the day-ahead prediction of errors match the original error values very well, including the patterns. The observations are well located within the predictive intervals. Integrating our wavelet-ARIMA (‘stochastic’) model with the weather forecast model (‘deterministic’) will improve our ability significantly to predict wind power generation and reduce predictive uncertainty.

  17. Theoretical analysis of error transfer from surface slope to refractive ray and their application to the solar concentrated collector

    E-Print Network [OSTI]

    Huang, Weidong

    2011-01-01T23:59:59.000Z

    This paper presents the general equation to calculate the standard deviation of reflected ray error from optical error through geometry optics, applying the equation to calculate the standard deviation of reflected ray error for 8 kinds of solar concentrated reflector, provide typical results. The results indicate that the slope errors in two direction is transferred to any one direction of the focus ray when the incidence angle is more than 0 for solar trough and heliostats reflector; for point focus Fresnel lens, point focus parabolic glass mirror, line focus parabolic galss mirror, the error transferring coefficient from optical to focus ray will increase when the rim angle increase; for TIR-R concentrator, it will decrease; for glass heliostat, it relates to the incidence angle and azimuth of the reflecting point. Keywords: optic error, standard deviation, refractive ray error, concentrated solar collector

  18. An analysis of the accuracy of relative permeability 

    E-Print Network [OSTI]

    Tao, Teh-Ming

    1982-01-01T23:59:59.000Z

    Properties Used in Sample Study. . . 2. Summary of Cases Run 34 3. Summary of Sample Properties. 36 4. Comparison of the Relative Error 51 5. Error in Water Infection Rate. 57 6. Influence of Different Magnitude of Measurement Error. 75 LIST QF FIGURES.... Pressure Variation. 27 8. Simulated Measurement Errors. 31 Estimation Deviation Distribution of k for Cases 1, 5, 6, 7. 41 10 Estimation Deviation Distribution of k for Cases 1, 5, 6, 7. 42 Standard Deviation Distribution of Oil Relative Permeability...

  19. Pioneered the development of standards for exchanging product-related information,

    E-Print Network [OSTI]

    Perkins, Richard A.

    -and-development laboratories at NIST--the federal government's oldest physical science agency and the only one devoted entirely significant savings in energy usage and operating costs, worldwide. · Improved safety standards for industrial than $150 million annually. · Paved the way for the development and widespread adoption (by more than

  20. Solar energy and renewable resources in relation to the 11 PURPA standards. Guideline No. 2

    SciTech Connect (OSTI)

    None

    1980-02-01T23:59:59.000Z

    On June 20, 1979, the President directed the Department of Energy (DOE) to develop and publish within 120 days a voluntary guideline, applying specifically to solar energy and renewable resources, for the ratemaking and other regulatory policy standards established under Title I of the Public Utility Regulatory Policies Act of 1978 (PURPA). On October 12, 1979, the Department of Energy (DOE) issued a Notice of Proposed Voluntary Guideline and Public Hearings for Solar Energy and Renewable Resources Respecting the Federal Standards Under the Public Utility Regulatory Policies Act of 1978 (PURPA) (44 FR 60236, October 18, 1979). This Notice summarizes in the Preamble the public comments DOE received and presents the voluntary guideline in its final form as the Appendix hereto.

  1. NEW - DOE O 350.3, Labor Standards Compliance, Contractor Labor Relations, and Contractor Workforce Restructuring Programs

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

    To ensure that contractors pursue collective bargaining practices that promote efficiency and economy in contract operations, judicious expenditure of public funds, equitable resolution of disputes, and effective collective bargaining relationships; that contractor relations/human resources specialists achieve consultations with management and operating contractors; and that appropriate labor standards are included in DOE/NNSA contracts and subcontracts. Cancels Chapters I-III of DOE O 350.1 Chg 4. Does not cancel other directives.

  2. 31.01.01.M5.03 Job-Related Skill Enhancement Pay Page 1 of 3 STANDARD ADMINISTRATIVE PROCEDURE

    E-Print Network [OSTI]

    31.01.01.M5.03 Job-Related Skill Enhancement Pay Page 1 of 3 STANDARD ADMINISTRATIVE PROCEDURE 31.01.01.M5.03 Job-Related Skill Enhancement Pay Approved July 6, 2001 Revised April 8, 2009 Revised March 4, 2012 Next scheduled review: May 4, 2015 Standard Administrative Procedure Statement The Job

  3. Comparison of x ray computed tomography number to proton relative linear stopping power conversion functions using a standard phantom

    SciTech Connect (OSTI)

    Moyers, M. F., E-mail: MFMoyers@roadrunner.com [Shanghai Proton and Heavy Ion Center, Shanghai, China 201321 (China)

    2014-06-15T23:59:59.000Z

    Purpose: Adequate evaluation of the results from multi-institutional trials involving light ion beam treatments requires consideration of the planning margins applied to both targets and organs at risk. A major uncertainty that affects the size of these margins is the conversion of x ray computed tomography numbers (XCTNs) to relative linear stopping powers (RLSPs). Various facilities engaged in multi-institutional clinical trials involving proton beams have been applying significantly different margins in their patient planning. This study was performed to determine the variance in the conversion functions used at proton facilities in the U.S.A. wishing to participate in National Cancer Institute sponsored clinical trials. Methods: A simplified method of determining the conversion function was developed using a standard phantom containing only water and aluminum. The new method was based on the premise that all scanners have their XCTNs for air and water calibrated daily to constant values but that the XCTNs for high density/high atomic number materials are variable with different scanning conditions. The standard phantom was taken to 10 different proton facilities and scanned with the local protocols resulting in 14 derived conversion functions which were compared to the conversion functions used at the local facilities. Results: For tissues within ±300 XCTN of water, all facility functions produced converted RLSP values within ±6% of the values produced by the standard function and within 8% of the values from any other facility's function. For XCTNs corresponding to lung tissue, converted RLSP values differed by as great as ±8% from the standard and up to 16% from the values of other facilities. For XCTNs corresponding to low-density immobilization foam, the maximum to minimum values differed by as much as 40%. Conclusions: The new method greatly simplifies determination of the conversion function, reduces ambiguity, and in the future could promote standardization between facilities. Although it was not possible from these experiments to determine which conversion function is most appropriate, the variation between facilities suggests that the margins used in some facilities to account for the uncertainty in converting XCTNs to RLSPs may be too small.

  4. RADIOLOGICAL HEALTH AND RELATED STANDARDS FOR NUCLEAR POWER PLANTS. VOLUME 2 OF HEALTH AND SAFETY IMPACTS OF NUCLEAR, GEOTHERMAL, AND FOSSIL-FUEL ELECTRIC GENERATION IN CALIFORNIA

    E-Print Network [OSTI]

    Nero, A.V.

    2010-01-01T23:59:59.000Z

    in U. S. Conunercial Nuclear Power Plants", Report WASH-Related Standards for Nuclear Power Plants," by A.V. NeroResponse Planning for Nuclear Power Plants in California,"

  5. Reducing Collective Quantum State Rotation Errors with Reversible Dephasing

    E-Print Network [OSTI]

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

    2014-07-16T23:59:59.000Z

    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 $2.1 \\times 10^5$ laser cooled and trapped $^{87}$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.

  6. FREIGHT CONTAINER LIFTING STANDARD

    SciTech Connect (OSTI)

    POWERS DJ; SCOTT MA; MACKEY TC

    2010-01-13T23:59:59.000Z

    This standard details the correct methods of lifting and handling Series 1 freight containers following ISO-3874 and ISO-1496. The changes within RPP-40736 will allow better reading comprehension, as well as correcting editorial errors.

  7. Rules Establishing Minimum Standards Relating to Location, Design, Construction, and Maintenance of Onsite Wastewater Treatment Systems (Rhode Island)

    Broader source: Energy.gov [DOE]

    The purpose of these rules is to protect public health and the environment by establishing minimum standards for the proper location, design, construction and maintenance of onsite wastewater...

  8. Static Detection of Disassembly Errors

    SciTech Connect (OSTI)

    Krishnamoorthy, Nithya; Debray, Saumya; Fligg, Alan K.

    2009-10-13T23:59:59.000Z

    Static disassembly is a crucial ?rst step in reverse engineering executable ?les, and there is a consider- able body of work in reverse-engineering of binaries, as well as areas such as semantics-based security anal- ysis, that assumes that the input executable has been correctly disassembled. However, disassembly errors, e.g., arising from binary obfuscations, can render this assumption invalid. This work describes a machine- learning-based approach, using decision trees, for stat- ically identifying possible errors in a static disassem- bly; such potential errors may then be examined more closely, e.g., using dynamic analyses. Experimental re- sults using a variety of input executables indicate that our approach performs well, correctly identifying most disassembly errors with relatively few false positives.

  9. A new and efficient error resilient entropy code for image and video compression

    E-Print Network [OSTI]

    Min, Jungki

    1999-01-01T23:59:59.000Z

    Image and video compression standards such as JPEG, MPEG, H.263 are severely sensitive to errors. Among typical error propagation mechanisms in video compression schemes, loss of block synchronization causes the worst result. Even one bit error...

  10. Stabilizer Formalism for Operator Quantum Error Correction

    E-Print Network [OSTI]

    Poulin, D

    2005-01-01T23:59:59.000Z

    Operator quantum error correction is a recently developed theory that provides a generalized framework for active error correction and passive error avoiding schemes. In this paper, we describe these codes in the language of the stabilizer formalism of standard quantum error correction theory. This is achieved by adding a "gauge" group to the standard stabilizer definition of a code. Gauge transformations leave the encoded information unchanged; their effect is absorbed by virtual gauge qubits that do not carry useful information. We illustrate the construction by identifying a gauge symmetry in Shor's 9-qubit code that allows us to remove 3 of its 8 stabilizer generators, leading to a simpler decoding procedure without affecting its essential properties. This opens the path to possible improvement of the error threshold of fault tolerant quantum computing. We also derive a modified Hamming bound that applies to all stabilizer codes, including degenerate ones.

  11. Stabilizer Formalism for Operator Quantum Error Correction

    E-Print Network [OSTI]

    David Poulin

    2006-06-14T23:59:59.000Z

    Operator quantum error correction is a recently developed theory that provides a generalized framework for active error correction and passive error avoiding schemes. In this paper, we describe these codes in the stabilizer formalism of standard quantum error correction theory. This is achieved by adding a "gauge" group to the standard stabilizer definition of a code that defines an equivalence class between encoded states. Gauge transformations leave the encoded information unchanged; their effect is absorbed by virtual gauge qubits that do not carry useful information. We illustrate the construction by identifying a gauge symmetry in Shor's 9-qubit code that allows us to remove 4 of its 8 stabilizer generators, leading to a simpler decoding procedure and a wider class of logical operations without affecting its essential properties. This opens the path to possible improvements of the error threshold of fault-tolerant quantum computing.

  12. Error handling strategies in multiphase inverse modeling

    SciTech Connect (OSTI)

    Finsterle, S.; Zhang, Y.

    2010-12-01T23:59:59.000Z

    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.

  13. TESLA-FEL 2009-07 Errors in Reconstruction of Difference Orbit

    E-Print Network [OSTI]

    Contents 1 Introduction 1 2 Standard Least Squares Solution 2 3 Error Emittance and Error Twiss Parameters as the position of the reconstruction point changes, we will introduce error Twiss parameters and invariant error in the point of interest has to be achieved by matching error Twiss parameters in this point to the desired

  14. Communication Standards and Recommendations

    E-Print Network [OSTI]

    Communication Standards and Recommendations Introduction & Purpose 3 Standards & Recommendations Communication 4 Training 10 Evaluation 11 PMO Workgroup Participation 12 Staffing 12 Communications-related Tracking Grantee Portal Standards and Recommendations 13

  15. Parameters and error of a theoretical model

    SciTech Connect (OSTI)

    Moeller, P.; Nix, J.R.; Swiatecki, W.

    1986-09-01T23:59:59.000Z

    We propose a definition for the error of a theoretical model of the type whose parameters are determined from adjustment to experimental data. By applying a standard statistical method, the maximum-likelihoodlmethod, we derive expressions for both the parameters of the theoretical model and its error. We investigate the derived equations by solving them for simulated experimental and theoretical quantities generated by use of random number generators. 2 refs., 4 tabs.

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

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F. [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)] [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)

    1997-01-01T23:59:59.000Z

    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.}

  17. Error detection method

    SciTech Connect (OSTI)

    Olson, Eric J.

    2013-06-11T23:59:59.000Z

    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.).

  18. Objectification Theory and Its Relation to Disordered Eating: The Role of Feminist Attitudes and Internalization of Cultural Standards of Beauty 

    E-Print Network [OSTI]

    Clarke, Analesa N.

    2010-10-12T23:59:59.000Z

    The current study had three main objectives: to examine the relation between trait and state self-objectification and various eating pathology, including restricted eating; to examine the role of general and specific ...

  19. Theoretical analysis of reflected ray error from surface slope error and their application to the solar concentrated collector

    E-Print Network [OSTI]

    Huang, Weidong

    2011-01-01T23:59:59.000Z

    Surface slope error of concentrator is one of the main factors to influence the performance of the solar concentrated collectors which cause deviation of reflected ray and reduce the intercepted radiation. This paper presents the general equation to calculate the standard deviation of reflected ray error from slope error through geometry optics, applying the equation to calculate the standard deviation of reflected ray error for 5 kinds of solar concentrated reflector, provide typical results. The results indicate that the slope error is transferred to the reflected ray in more than 2 folds when the incidence angle is more than 0. The equation for reflected ray error is generally fit for all reflection surfaces, and can also be applied to control the error in designing an abaxial optical system.

  20. Thermodynamics of error correction

    E-Print Network [OSTI]

    Sartori, Pablo

    2015-01-01T23:59:59.000Z

    Information processing at the molecular scale is limited by thermal fluctuations. This can cause undesired consequences in copying information since thermal noise can lead to errors that can compromise the functionality of the copy. For example, a high error rate during DNA duplication can lead to cell death. Given the importance of accurate copying at the molecular scale, it is fundamental to understand its thermodynamic features. In this paper, we derive a universal expression for the copy error as a function of entropy production and dissipated work of the process. Its derivation is based on the second law of thermodynamics, hence its validity is independent of the details of the molecular machinery, be it any polymerase or artificial copying device. Using this expression, we find that information can be copied in three different regimes. In two of them, work is dissipated to either increase or decrease the error. In the third regime, the protocol extracts work while correcting errors, reminiscent of a Max...

  1. Got Standards? "Got Standards?"

    E-Print Network [OSTI]

    Vardeman, Stephen B.

    certifications available. Some of these certifications include ISO 9002 1994, ISO 9003 1994 and ISO 9001 in order to bring harmony to global standards for international trade. Enter ISO 9000. The Basics In order to fully understand the concept of ISO 9000, it is very important to have a good idea of what a standard is

  2. Message passing in fault tolerant quantum error correction

    E-Print Network [OSTI]

    Z. W. E. Evans; A. M. Stephens

    2008-06-13T23:59:59.000Z

    Inspired by Knill's scheme for message passing error detection, here we develop a scheme for message passing error correction for the nine-qubit Bacon-Shor code. We show that for two levels of concatenated error correction, where classical information obtained at the first level is used to help interpret the syndrome at the second level, our scheme will correct all cases with four physical errors. This results in a reduction of the logical failure rate relative to conventional error correction by a factor proportional to the reciprocal of the physical error rate.

  3. Quantum error control codes

    E-Print Network [OSTI]

    Abdelhamid Awad Aly Ahmed, Sala

    2008-10-10T23:59:59.000Z

    QUANTUM ERROR CONTROL CODES A Dissertation by SALAH ABDELHAMID AWAD ALY AHMED Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2008 Major... Subject: Computer Science QUANTUM ERROR CONTROL CODES A Dissertation by SALAH ABDELHAMID AWAD ALY AHMED Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY...

  4. Thermodynamics of error correction

    E-Print Network [OSTI]

    Pablo Sartori; Simone Pigolotti

    2015-04-24T23:59:59.000Z

    Information processing at the molecular scale is limited by thermal fluctuations. This can cause undesired consequences in copying information since thermal noise can lead to errors that can compromise the functionality of the copy. For example, a high error rate during DNA duplication can lead to cell death. Given the importance of accurate copying at the molecular scale, it is fundamental to understand its thermodynamic features. In this paper, we derive a universal expression for the copy error as a function of entropy production and dissipated work of the process. Its derivation is based on the second law of thermodynamics, hence its validity is independent of the details of the molecular machinery, be it any polymerase or artificial copying device. Using this expression, we find that information can be copied in three different regimes. In two of them, work is dissipated to either increase or decrease the error. In the third regime, the protocol extracts work while correcting errors, reminiscent of a Maxwell demon. As a case study, we apply our framework to study a copy protocol assisted by kinetic proofreading, and show that it can operate in any of these three regimes. We finally show that, for any effective proofreading scheme, error reduction is limited by the chemical driving of the proofreading reaction.

  5. Quantum Error Correction Workshop on

    E-Print Network [OSTI]

    Grassl, Markus

    Error Correction Avoiding Errors: Mathematical Model decomposition of the interaction algebra;Quantum Error Correction Designed Hamiltonians Main idea: "perturb the system to make it more stable" · fast (local) control operations = average Hamiltonian with more symmetry (cf. techniques from NMR

  6. Relationalism

    E-Print Network [OSTI]

    Edward Anderson

    2014-07-15T23:59:59.000Z

    This article contributes to the debate of the meaning of relationalism and background independence, which has remained of interest in theoretical physics from Newton versus Leibniz through to foundational issues for today's leading candidate theories of quantum gravity. I contrast and compose the substantially different Leibniz--Mach--Barbour (LMB) and Rovelli--Crane (RC) uses of the word `relational'. Leibniz advocated primary timelessness and Mach that `time is to be abstracted from change'. I consider 3 distinct viewpoints on Machian time: Barbour's, Rovelli's and my own. I provide four expansions on Barbour's taking configuration space to be primary: to (perhaps a weakened notion of) phase space, categorizing, perspecting and propositioning. Categorizing means considering not only object spaces but also the corresponding morphisms and then functors between such pairs. Perspecting means considering the set of subsystem perspectives; this is an arena in which the LMB and Rovelli approaches make contact. By propositioning, I mean considering the set of propositions about a physical (sub)system. I argue against categorization being more than a formal pre-requisite for quantization in general; however, perspecting is a categorical operation, and propositioning leads one to considering topoi, with Isham and Doering's work represents one possibility for a mathematically sharp implementation of propositioning. Further applications of this article are arguing for Ashtekar variables as being relational in LMB as well as just the usually-ascribed RC sense, relationalism versus supersymmetry, string theory and M-theory. The question of whether scale is relational is also considered, with quantum cosmology in mind.

  7. Numerical Construction of Likelihood Distributions and the Propagation of Errors

    E-Print Network [OSTI]

    J. Swain; L. Taylor

    1997-12-12T23:59:59.000Z

    The standard method for the propagation of errors, based on a Taylor series expansion, is approximate and frequently inadequate for realistic problems. A simple and generic technique is described in which the likelihood is constructed numerically, thereby greatly facilitating the propagation of errors.

  8. Quantum Error Correcting Subsystem Codes From Two Classical Linear Codes

    E-Print Network [OSTI]

    Dave Bacon; Andrea Casaccino

    2006-10-17T23:59:59.000Z

    The essential insight of quantum error correction was that quantum information can be protected by suitably encoding this quantum information across multiple independently erred quantum systems. Recently it was realized that, since the most general method for encoding quantum information is to encode it into a subsystem, there exists a novel form of quantum error correction beyond the traditional quantum error correcting subspace codes. These new quantum error correcting subsystem codes differ from subspace codes in that their quantum correcting routines can be considerably simpler than related subspace codes. Here we present a class of quantum error correcting subsystem codes constructed from two classical linear codes. These codes are the subsystem versions of the quantum error correcting subspace codes which are generalizations of Shor's original quantum error correcting subspace codes. For every Shor-type code, the codes we present give a considerable savings in the number of stabilizer measurements needed in their error recovery routines.

  9. Modular error embedding

    DOE Patents [OSTI]

    Sandford, II, Maxwell T. (Los Alamos, NM); Handel, Theodore G. (Los Alamos, NM); Ettinger, J. Mark (Los Alamos, NM)

    1999-01-01T23:59:59.000Z

    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.

  10. Deterministic treatment of model error in geophysical data assimilation

    E-Print Network [OSTI]

    Carrassi, Alberto

    2015-01-01T23:59:59.000Z

    This chapter describes a novel approach for the treatment of model error in geophysical data assimilation. In this method, model error is treated as a deterministic process fully correlated in time. This allows for the derivation of the evolution equations for the relevant moments of the model error statistics required in data assimilation procedures, along with an approximation suitable for application to large numerical models typical of environmental science. In this contribution we first derive the equations for the model error dynamics in the general case, and then for the particular situation of parametric error. We show how this deterministic description of the model error can be incorporated in sequential and variational data assimilation procedures. A numerical comparison with standard methods is given using low-order dynamical systems, prototypes of atmospheric circulation, and a realistic soil model. The deterministic approach proves to be very competitive with only minor additional computational c...

  11. Approaches to Quantum Error Correction

    E-Print Network [OSTI]

    Julia Kempe

    2006-12-21T23:59:59.000Z

    The purpose of this little survey is to give a simple description of the main approaches to quantum error correction and quantum fault-tolerance. Our goal is to convey the necessary intuitions both for the problems and their solutions in this area. After characterising quantum errors we present several error-correction schemes and outline the elements of a full fledged fault-tolerant computation, which works error-free even though all of its components can be faulty. We also mention alternative approaches to error-correction, so called error-avoiding or decoherence-free schemes. Technical details and generalisations are kept to a minimum.

  12. Evaluating operating system vulnerability to memory errors.

    SciTech Connect (OSTI)

    Ferreira, Kurt Brian; Bridges, Patrick G. (University of New Mexico); Pedretti, Kevin Thomas Tauke; Mueller, Frank (North Carolina State University); Fiala, David (North Carolina State University); Brightwell, Ronald Brian

    2012-05-01T23:59:59.000Z

    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.

  13. The Error-Pattern-Correcting Turbo Equalizer

    E-Print Network [OSTI]

    Alhussien, Hakim

    2010-01-01T23:59:59.000Z

    The error-pattern correcting code (EPCC) is incorporated in the design of a turbo equalizer (TE) with aim to correct dominant error events of the inter-symbol interference (ISI) channel at the output of its matching Viterbi detector. By targeting the low Hamming-weight interleaved errors of the outer convolutional code, which are responsible for low Euclidean-weight errors in the Viterbi trellis, the turbo equalizer with an error-pattern correcting code (TE-EPCC) exhibits a much lower bit-error rate (BER) floor compared to the conventional non-precoded TE, especially for high rate applications. A maximum-likelihood upper bound is developed on the BER floor of the TE-EPCC for a generalized two-tap ISI channel, in order to study TE-EPCC's signal-to-noise ratio (SNR) gain for various channel conditions and design parameters. In addition, the SNR gain of the TE-EPCC relative to an existing precoded TE is compared to demonstrate the present TE's superiority for short interleaver lengths and high coding rates.

  14. 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

    2015-03-23T23:59:59.000Z

    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 ? is zero. Although the score is unbiased the information matrix (and hence the standard errors of the estimate of ?) is biased for ?6¼0 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 MayakWorker Cohort, and the U.S. Atomic Veterans Study, is discussed.« less

  15. STATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL

    E-Print Network [OSTI]

    Rudnyi, Evgenii B.

    to apply. The algorithm to maximize a likelihood function in the case of a non-linear physico - the same variances of errors 3.1. One-way classification 3.2. Linear regression 4. Real case (vaporizationSTATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL E.B. Rudnyi Department of Chemistry

  16. Interconnection Standards

    Broader source: Energy.gov [DOE]

    New York first adopted uniform interconnection standards in 1999 (see history below). The Standard Interconnection Requirements (SIR) have subsequently been amended several times since, most...

  17. Interconnection Standards

    Broader source: Energy.gov [DOE]

    The North Carolina Utilities Commission (NCUC) adopted comprehensive interconnection standards for distributed generation in June 2008. The NCUC standards, which are similar to the Federal Energy...

  18. Interconnection Standards

    Broader source: Energy.gov [DOE]

    The Michigan Public Service Commission (PSC) first adopted interconnection standards for distributed generation (DG) in September 2003. The original standards provided for 5 levels of...

  19. Interconnection Standards

    Broader source: Energy.gov [DOE]

    The Pennsylvania Public Utilities Commission was required to adopt interconnection standards and net-metering rules by the Alternative Energy Portfolio Standards Act of 2004.The PUC subsequently...

  20. Unequal Error Protection Turbo Codes

    E-Print Network [OSTI]

    Henkel, Werner

    Unequal Error Protection Turbo Codes Diploma Thesis Neele von Deetzen Arbeitsbereich Nachrichtentechnik School of Engineering and Science Bremen, February 28th, 2005 #12;Unequal Error Protection Turbo Convolutional Codes / Turbo Codes 18 3.1 Structure

  1. EIA - Sorry! Unexpected Error

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:research community -- hosted byCold Fusion Error

  2. Uncertainty quantification and error analysis

    SciTech Connect (OSTI)

    Higdon, Dave M [Los Alamos National Laboratory; Anderson, Mark C [Los Alamos National Laboratory; Habib, Salman [Los Alamos National Laboratory; Klein, Richard [Los Alamos National Laboratory; Berliner, Mark [OHIO STATE UNIV.; Covey, Curt [LLNL; Ghattas, Omar [UNIV OF TEXAS; Graziani, Carlo [UNIV OF CHICAGO; Seager, Mark [LLNL; Sefcik, Joseph [LLNL; Stark, Philip [UC/BERKELEY; Stewart, James [SNL

    2010-01-01T23:59:59.000Z

    UQ studies all sources of error and uncertainty, including: systematic and stochastic measurement error; ignorance; limitations of theoretical models; limitations of numerical representations of those models; limitations on the accuracy and reliability of computations, approximations, and algorithms; and human error. A more precise definition for UQ is suggested below.

  3. DOE technical standards list: Department of Energy standards index

    SciTech Connect (OSTI)

    NONE

    1999-05-01T23:59:59.000Z

    This Department of Energy (DOE) technical standards list (TSL) has been prepared by the Office of Nuclear Safety Policy and Standards (EH-31) on the basis of currently available technical information. Periodic updates of this TSL will be issued as additional information is received on standardization documents being issued, adopted, or canceled by DOE. This document was prepared for use by personnel involved in the selection and use of DOE technical standards and other Government and non-Government standards. This TSL provides listings of current DOE technical standards, non-Government standards that have been adopted by DOE, other standards-related documents in which DOE has a recorded interest, and canceled DOE technical standards. Information on new DOE technical standards projects, technical standards released for coordination, recently published DOE technical standards, and activities of non-Government standards bodies that may be of interest to DOE is published monthly in Standards Actions.

  4. Interconnection Standards

    Broader source: Energy.gov [DOE]

    Tier 1 systems must include an inverter certified to meet the Underwriters Laboratories (UL) 1741 standard

  5. Register file soft error recovery

    DOE Patents [OSTI]

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

    2013-10-15T23:59:59.000Z

    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.

  6. Verification of unfold error estimates in the UFO code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1996-07-01T23:59:59.000Z

    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.

  7. Franklin 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...

  8. Mutual information, bit error rate and security in Wójcik's scheme

    E-Print Network [OSTI]

    Zhanjun Zhang

    2004-02-21T23:59:59.000Z

    In this paper the correct calculations of the mutual information of the whole transmission, the quantum bit error rate (QBER) are presented. Mistakes of the general conclusions relative to the mutual information, the quantum bit error rate (QBER) and the security in W\\'{o}jcik's paper [Phys. Rev. Lett. {\\bf 90}, 157901(2003)] have been pointed out.

  9. Cosmic Ray Spectral Deformation Caused by Energy Determination Errors

    E-Print Network [OSTI]

    Per Carlson; Conny Wannemark

    2005-05-10T23:59:59.000Z

    Using simulation methods, distortion effects on energy spectra caused by errors in the energy determination have been investigated. For cosmic ray proton spectra, falling steeply with kinetic energy E as E-2.7, significant effects appear. When magnetic spectrometers are used to determine the energy, the relative error increases linearly with the energy and distortions with a sinusoidal form appear starting at an energy that depends significantly on the error distribution but at an energy lower than that corresponding to the Maximum Detectable Rigidity of the spectrometer. The effect should be taken into consideration when comparing data from different experiments, often having different error distributions.

  10. RADIOLOGICAL HEALTH AND RELATED STANDARDS FOR NUCLEAR POWER PLANTS. VOLUME 2 OF HEALTH AND SAFETY IMPACTS OF NUCLEAR, GEOTHERMAL, AND FOSSIL-FUEL ELECTRIC GENERATION IN CALIFORNIA

    E-Print Network [OSTI]

    Nero, A.V.

    2010-01-01T23:59:59.000Z

    Report LBL-5287. "Power Plant Reliability-Availability andConunercial Nuclear Power Plants", Report WASH-1400 (NUREG-Standards for Nuclear Power Plants," by A.V. Nero and Y.C.

  11. Interconnection Standards

    Broader source: Energy.gov [DOE]

    West Virginia's interconnection standards include two levels of review. The qualifications and application fees for each level are as follows:...

  12. Nested Quantum Error Correction Codes

    E-Print Network [OSTI]

    Zhuo Wang; Kai Sun; Hen Fan; Vlatko Vedral

    2009-09-28T23:59:59.000Z

    The theory of quantum error correction was established more than a decade ago as the primary tool for fighting decoherence in quantum information processing. Although great progress has already been made in this field, limited methods are available in constructing new quantum error correction codes from old codes. Here we exhibit a simple and general method to construct new quantum error correction codes by nesting certain quantum codes together. The problem of finding long quantum error correction codes is reduced to that of searching several short length quantum codes with certain properties. Our method works for all length and all distance codes, and is quite efficient to construct optimal or near optimal codes. Two main known methods in constructing new codes from old codes in quantum error-correction theory, the concatenating and pasting, can be understood in the framework of nested quantum error correction codes.

  13. Finding beam focus errors automatically

    SciTech Connect (OSTI)

    Lee, M.J.; Clearwater, S.H.; Kleban, S.D.

    1987-01-01T23:59:59.000Z

    An automated method for finding beam focus errors using an optimization program called COMFORT-PLUS. The steps involved in finding the correction factors using COMFORT-PLUS has been used to find the beam focus errors for two damping rings at the SLAC Linear Collider. The program is to be used as an off-line program to analyze actual measured data for any SLC system. A limitation on the application of this procedure is found to be that it depends on the magnitude of the machine errors. Another is that the program is not totally automated since the user must decide a priori where to look for errors. (LEW)

  14. Data& Error Analysis 1 DATA and ERROR ANALYSIS

    E-Print Network [OSTI]

    Mukasyan, Alexander

    Data& Error Analysis 1 DATA and ERROR ANALYSIS Performing the experiment and collecting data learned, you might get a better grade.) Data analysis should NOT be delayed until all of the data. This will help one avoid the problem of spending an entire class collecting bad data because of a mistake

  15. 62 IAEI NEWS March.April 2007 www.iaei.org the development of codes, standards, and pv equipment--how are they related?

    E-Print Network [OSTI]

    Johnson, Eric E.

    is an interactive process. Equipment Development Let's use a PV inverter as an example. A PV equipment manufacturer gets an idea for a new PV inverter (photo 1). Although the prototype works well in the laboratory reading and applying Underwriters Laboratories (UL) Standard 1741 dealing with PV inverters. This UL Photo

  16. Interconnection Standards

    Broader source: Energy.gov [DOE]

    The interconnection standards approved by the PUC also updated Nevada's net-metering policy, originally enacted in 1997. Previously, Nevada Revised Statute 704.774 addressed basic interconnection...

  17. Interconnection Standards

    Broader source: Energy.gov [DOE]

    New Jersey's interconnection standards apply statewide to all electric distribution utilities, but not to the small number of municipal utilities and electric cooperatives in the state. The rules,...

  18. Interconnection Standards

    Broader source: Energy.gov [DOE]

    Virginia has two interconnection standards: one for net-metered systems and one for systems that are not net-metered.

  19. Interconnection Standards

    Broader source: Energy.gov [DOE]

    In December 2005, the Colorado Public Utilities Commission (PUC) adopted standards for net metering and interconnection, as required by Amendment 37, a renewable-energy ballot initiative approved...

  20. Interconnection Standards

    Broader source: Energy.gov [DOE]

    In September 2007, the Washington Utilities and Transportation Commission (UTC) adopted interconnection standards for distributed generation (DG) systems up to 20 megawatts (MW) in capacity. The...

  1. Dynamic Prediction of Concurrency Errors

    E-Print Network [OSTI]

    Sadowski, Caitlin

    2012-01-01T23:59:59.000Z

    errors in systems code using smt solvers. In Computer Aideddata race witnesses by an SMT-based analysis. In NASA Formalscalability relies on a modern SMT solver and an e?cient

  2. Interconnection Standards

    Broader source: Energy.gov [DOE]

    The PUC standards generally apply to investor-owned utilities (IOUs) with 40,000 or more customers and all electric cooperatives. Municipal utilities with 5,000 customers or more are required to ...

  3. Interconnection Standards

    Broader source: Energy.gov [DOE]

    Utah’s interconnection rules are based on the Federal Energy Regulatory Commission’s (FERC) interconnection standards for small generators, adopted in May 2005 by FERC Order 2006. Utah's rules for...

  4. Interconnection Standards

    Broader source: Energy.gov [DOE]

    Oregon has three separate interconnection standards: one for net-metered systems, one for small generator facilities (non-net metered systems) and one for large generator facilities (non-net...

  5. Interconnection Standards

    Broader source: Energy.gov [DOE]

    NOTE: In Feb 2014, the PUC proposed changes to the State’s Alternative Energy Portfolio Standard, Interconnection, and Net-metering rules. The documents associated with the case can be accessed at...

  6. Interconnection Standards

    Broader source: Energy.gov [DOE]

    Vermont has adopted separate interconnection standards for net-metered energy systems that are 150 kW or less, and for all other distributed-generation (DG) systems.

  7. Unequal error protection of subband coded bits

    E-Print Network [OSTI]

    Devalla, Badarinath

    1994-01-01T23:59:59.000Z

    Source coded data can be separated into different classes based on their susceptibility to channel errors. Errors in the Important bits cause greater distortion in the reconstructed signal. This thesis presents an Unequal Error Protection scheme...

  8. Two-Layer Error Control Codes Combining Rectangular and Hamming Product Codes for Cache Error

    E-Print Network [OSTI]

    Zhang, Meilin

    We propose a novel two-layer error control code, combining error detection capability of rectangular codes and error correction capability of Hamming product codes in an efficient way, in order to increase cache error ...

  9. Fault-Tolerant Thresholds for Encoded Ancillae with Homogeneous Errors

    E-Print Network [OSTI]

    Bryan Eastin

    2006-11-14T23:59:59.000Z

    I describe a procedure for calculating thresholds for quantum computation as a function of error model given the availability of ancillae prepared in logical states with independent, identically distributed errors. The thresholds are determined via a simple counting argument performed on a single qubit of an infinitely large CSS code. I give concrete examples of thresholds thus achievable for both Steane and Knill style fault-tolerant implementations and investigate their relation to threshold estimates in the literature.

  10. Harmonic Analysis Errors in Calculating Dipole,

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

    to reduce the harmonic field calculation errors. A conformal transfor- mation of a multipole magnet into a dipole reduces these errors. Dipole Magnet Calculations A triangular...

  11. 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)

    2014-07-25T23:59:59.000Z

    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.

  12. Systematic Errors in measurement of b1

    SciTech Connect (OSTI)

    Wood, S A

    2014-10-27T23:59:59.000Z

    A class of spin observables can be obtained from the relative difference of or asymmetry between cross sections of different spin states of beam or target particles. Such observables have the advantage that the normalization factors needed to calculate absolute cross sections from yields often divide out or cancel to a large degree in constructing asymmetries. However, normalization factors can change with time, giving different normalization factors for different target or beam spin states, leading to systematic errors in asymmetries in addition to those determined from statistics. Rapidly flipping spin orientation, such as what is routinely done with polarized beams, can significantly reduce the impact of these normalization fluctuations and drifts. Target spin orientations typically require minutes to hours to change, versus fractions of a second for beams, making systematic errors for observables based on target spin flips more difficult to control. Such systematic errors from normalization drifts are discussed in the context of the proposed measurement of the deuteron b(1) structure function at Jefferson Lab.

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

    SciTech Connect (OSTI)

    Stynes, J. K.; Ihas, B.

    2012-04-01T23:59:59.000Z

    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.

  14. Distributed Error Confinement Extended Abstract

    E-Print Network [OSTI]

    Patt-Shamir, Boaz

    . These algorithms can serve as building blocks in more general reactive systems. Previous results in exploring locality in reactive systems were not error confined, and relied on the assump- tion (not used in current, that seems inherent for voting in reactive networks; its analysis leads to an interesting combinatorial

  15. Non-Gaussian numerical errors versus mass hierarchy

    E-Print Network [OSTI]

    Y. Meurice; M. B. Oktay

    2000-05-12T23:59:59.000Z

    We probe the numerical errors made in renormalization group calculations by varying slightly the rescaling factor of the fields and rescaling back in order to get the same (if there were no round-off errors) zero momentum 2-point function (magnetic susceptibility). The actual calculations were performed with Dyson's hierarchical model and a simplified version of it. We compare the distributions of numerical values obtained from a large sample of rescaling factors with the (Gaussian by design) distribution of a random number generator and find significant departures from the Gaussian behavior. In addition, the average value differ (robustly) from the exact answer by a quantity which is of the same order as the standard deviation. We provide a simple model in which the errors made at shorter distance have a larger weight than those made at larger distance. This model explains in part the non-Gaussian features and why the central-limit theorem does not apply.

  16. Accounting for model error due to unresolved scales within ensemble Kalman filtering

    E-Print Network [OSTI]

    Lewis Mitchell; Alberto Carrassi

    2014-09-02T23:59:59.000Z

    We propose a method to account for model error due to unresolved scales in the context of the ensemble transform Kalman filter (ETKF). The approach extends to this class of algorithms the deterministic model error formulation recently explored for variational schemes and extended Kalman filter. The model error statistic required in the analysis update is estimated using historical reanalysis increments and a suitable model error evolution law. Two different versions of the method are described; a time-constant model error treatment where the same model error statistical description is time-invariant, and a time-varying treatment where the assumed model error statistics is randomly sampled at each analysis step. We compare both methods with the standard method of dealing with model error through inflation and localization, and illustrate our results with numerical simulations on a low order nonlinear system exhibiting chaotic dynamics. The results show that the filter skill is significantly improved through the proposed model error treatments, and that both methods require far less parameter tuning than the standard approach. Furthermore, the proposed approach is simple to implement within a pre-existing ensemble based scheme. The general implications for the use of the proposed approach in the framework of square-root filters such as the ETKF are also discussed.

  17. Output error identification of hydrogenerator conduit dynamics

    SciTech Connect (OSTI)

    Vogt, M.A.; Wozniak, L. (Illinois Univ., Urbana, IL (USA)); Whittemore, T.R. (Bureau of Reclamation, Denver, CO (USA))

    1989-09-01T23:59:59.000Z

    Two output error model reference adaptive identifiers are considered for estimating the parameters in a reduced order gate position to pressure model for the hydrogenerator. This information may later be useful in an adaptive controller. Gradient and sensitivity functions identifiers are discussed for the hydroelectric application and connections are made between their structural differences and relative performance. Simulations are presented to support the conclusion that the latter algorithm is more robust, having better disturbance rejection and less plant model mismatch sensitivity. For identification from recorded plant data from step gate inputs, the other algorithm even fails to converge. A method for checking the estimated parameters is developed by relating the coefficients in the reduced order model to head, an externally measurable parameter.

  18. 1michigan state university brand STandardS BRAND STANDARDS

    E-Print Network [OSTI]

    1michigan state university brand STandardS BRAND STANDARDS VERSION 4, APRIL 30, 2012 #12;2michigan state university brand STandardS TABLE OF CONTENTS 3 brand baSicS 5 The Michigan STaTe UniverSiTy brandUrTher gUidance #12;3michigan state university brand STandardS 1. BrANd BASICS 1a whaT iS a brand? We build

  19. APPLIANCE STANDARDS

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20ALSNewstt^APPLIANCE STANDARDS How they

  20. Interconnection Standards

    Broader source: Energy.gov [DOE]

    In February 2011, the DPU opened up a docket to examine net metering and interconnection of distributed generation. While the intent is to make changes to net metering, issues relating to interco...

  1. Designing Automation to Reduce Operator Errors Nancy G. Leveson

    E-Print Network [OSTI]

    Leveson, Nancy

    Designing Automation to Reduce Operator Errors Nancy G. Leveson Computer Science and Engineering University of Washington Everett Palmer NASA Ames Research Center Introduction Advanced automation has been of mode­related problems [SW95]. After studying accidents and incidents in the new, highly automated

  2. Multilayer Perceptron Error Surfaces: Visualization, Structure and Modelling

    E-Print Network [OSTI]

    Gallagher, Marcus

    . This is commonly formulated as a multivariate non­linear optimization problem over a very high­dimensional space of analysis are not well­suited to this problem. Visualizing and describ­ ing the error surface are also three related methods. Firstly, Principal Component Analysis (PCA) is proposed as a method

  3. Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling

    E-Print Network [OSTI]

    Gallagher, Marcus

    . This is commonly formulated as a multivariate non-linear optimization problem over a very high-dimensional space of analysis are not well-suited to this problem. Visualizing and describ- ing the error surface are also three related methods. Firstly, Principal Component Analysis (PCA) is proposed as a method

  4. UNIVERSITY STANDARDS AND REGULATIONS

    E-Print Network [OSTI]

    Royer, Dana

    2014­2015 UNIVERSITY STANDARDS AND REGULATIONS #12;Wesleyan University does not discriminate STANDARDS OF CONDUCT

  5. UNIVERSITY STANDARDS AND REGULATIONS

    E-Print Network [OSTI]

    Royer, Dana

    2013­2014 UNIVERSITY STANDARDS AND REGULATIONS #12;Wesleyan University does not discriminate STANDARDS OF CONDUCT

  6. Entanglement-Assisted Quantum Error-Correcting Codes with Imperfect Ebits

    E-Print Network [OSTI]

    Ching-Yi Lai; Todd A. Brun

    2012-04-04T23:59:59.000Z

    The scheme of entanglement-assisted quantum error-correcting (EAQEC) codes assumes that the ebits of the receiver are error-free. In practical situations, errors on these ebits are unavoidable, which diminishes the error-correcting ability of these codes. We consider two different versions of this problem. We first show that any (nondegenerate) standard stabilizer code can be transformed into an EAQEC code that can correct errors on the qubits of both sender and receiver. These EAQEC codes are equivalent to standard stabilizer codes, and hence the decoding techniques of standard stabilizer codes can be applied. Several EAQEC codes of this type are found to be optimal. In a second scheme, the receiver uses a standard stabilizer code to protect the ebits, which we call a "combination code." The performances of different quantum codes are compared in terms of the channel fidelity over the depolarizing channel. We give a formula for the channel fidelity over the depolarizing channel (or any Pauli error channel), and show that it can be efficiently approximated by a Monte Carlo calculation. Finally, we discuss the tradeoff between performing extra entanglement distillation and applying an EAQEC code with imperfect ebits.

  7. Error Floors of LDPC Codes and Related Topics

    E-Print Network [OSTI]

    Butler, Brian K.

    Code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2.2 LDPC Codes . . . . . . . .2.1 Binary Linear Block Codes . . . . . . .

  8. Balancing energy conservation and occupant needs in ventilation rate standards for Big Box stores and other commercial buildings in California: Issues related to the ASHRAE 62.1 Indoor Air Quality Procedure

    E-Print Network [OSTI]

    Mendell, Mark

    2014-01-01T23:59:59.000Z

    affect IAQ negatively (health + productivity) InappropriateIAQ standards that support occupant comfort, health, productivity, and

  9. Quantum Error Correction with magnetic molecules

    E-Print Network [OSTI]

    José J. Baldoví; Salvador Cardona-Serra; Juan M. Clemente-Juan; Luis Escalera-Moreno; Alejandro Gaita-Ariño; Guillermo Mínguez Espallargas

    2014-08-22T23:59:59.000Z

    Quantum algorithms often assume independent spin qubits to produce trivial $|\\uparrow\\rangle=|0\\rangle$, $|\\downarrow\\rangle=|1\\rangle$ mappings. This can be unrealistic in many solid-state implementations with sizeable magnetic interactions. Here we show that the lower part of the spectrum of a molecule containing three exchange-coupled metal ions with $S=1/2$ and $I=1/2$ is equivalent to nine electron-nuclear qubits. We derive the relation between spin states and qubit states in reasonable parameter ranges for the rare earth $^{159}$Tb$^{3+}$ and for the transition metal Cu$^{2+}$, and study the possibility to implement Shor's Quantum Error Correction code on such a molecule. We also discuss recently developed molecular systems that could be adequate from an experimental point of view.

  10. December 2006 Standards Forum and Standards Actions

    Energy Savers [EERE]

    -9 Cancellations in Progress - 0 Inside This Issue Visit the Technical Standards Program Web Site at http:tis.eh.doe.govtechstds December 2006 The Standards Forum and Standards...

  11. Approximate error conjugation gradient minimization methods

    DOE Patents [OSTI]

    Kallman, Jeffrey S

    2013-05-21T23:59:59.000Z

    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.

  12. Measuring uncertainty in dose delivered to the cochlea due to setup error during external beam treatment of patients with cancer of the head and neck

    SciTech Connect (OSTI)

    Yan, M.; Lovelock, D.; Hunt, M.; Mechalakos, J.; Hu, Y.; Pham, H.; Jackson, A., E-mail: jacksona@mskcc.org [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York 10065 (United States)

    2013-12-15T23:59:59.000Z

    Purpose: To use Cone Beam CT scans obtained just prior to treatments of head and neck cancer patients to measure the setup error and cumulative dose uncertainty of the cochlea. Methods: Data from 10 head and neck patients with 10 planning CTs and 52 Cone Beam CTs taken at time of treatment were used in this study. Patients were treated with conventional fractionation using an IMRT dose painting technique, most with 33 fractions. Weekly radiographic imaging was used to correct the patient setup. The authors used rigid registration of the planning CT and Cone Beam CT scans to find the translational and rotational setup errors, and the spatial setup errors of the cochlea. The planning CT was rotated and translated such that the cochlea positions match those seen in the cone beam scans, cochlea doses were recalculated and fractional doses accumulated. Uncertainties in the positions and cumulative doses of the cochlea were calculated with and without setup adjustments from radiographic imaging. Results: The mean setup error of the cochlea was 0.04 ± 0.33 or 0.06 ± 0.43 cm for RL, 0.09 ± 0.27 or 0.07 ± 0.48 cm for AP, and 0.00 ± 0.21 or ?0.24 ± 0.45 cm for SI with and without radiographic imaging, respectively. Setup with radiographic imaging reduced the standard deviation of the setup error by roughly 1–2 mm. The uncertainty of the cochlea dose depends on the treatment plan and the relative positions of the cochlea and target volumes. Combining results for the left and right cochlea, the authors found the accumulated uncertainty of the cochlea dose per fraction was 4.82 (0.39–16.8) cGy, or 10.1 (0.8–32.4) cGy, with and without radiographic imaging, respectively; the percentage uncertainties relative to the planned doses were 4.32% (0.28%–9.06%) and 10.2% (0.7%–63.6%), respectively. Conclusions: Patient setup error introduces uncertainty in the position of the cochlea during radiation treatment. With the assistance of radiographic imaging during setup, the standard deviation of setup error reduced by 31%, 42%, and 54% in RL, AP, and SI direction, respectively, and consequently, the uncertainty of the mean dose to cochlea reduced more than 50%. The authors estimate that the effects of these uncertainties on the probability of hearing loss for an individual patient could be as large as 10%.

  13. Implications of Monte Carlo Statistical Errors in Criticality Safety Assessments

    SciTech Connect (OSTI)

    Pevey, Ronald E.

    2005-09-15T23:59:59.000Z

    Most criticality safety calculations are performed using Monte Carlo techniques because of Monte Carlo's ability to handle complex three-dimensional geometries. For Monte Carlo calculations, the more histories sampled, the lower the standard deviation of the resulting estimates. The common intuition is, therefore, that the more histories, the better; as a result, analysts tend to run Monte Carlo analyses as long as possible (or at least to a minimum acceptable uncertainty). For Monte Carlo criticality safety analyses, however, the optimization situation is complicated by the fact that procedures usually require that an extra margin of safety be added because of the statistical uncertainty of the Monte Carlo calculations. This additional safety margin affects the impact of the choice of the calculational standard deviation, both on production and on safety. This paper shows that, under the assumptions of normally distributed benchmarking calculational errors and exact compliance with the upper subcritical limit (USL), the standard deviation that optimizes production is zero, but there is a non-zero value of the calculational standard deviation that minimizes the risk of inadvertently labeling a supercritical configuration as subcritical. Furthermore, this value is shown to be a simple function of the typical benchmarking step outcomes--the bias, the standard deviation of the bias, the upper subcritical limit, and the number of standard deviations added to calculated k-effectives before comparison to the USL.

  14. Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

    E-Print Network [OSTI]

    Haque, Imran S

    2009-01-01T23:59:59.000Z

    Graphics processing units (GPUs) are gaining widespread use in computational chemistry and other scientific simulation contexts because of their huge performance advantages relative to conventional CPUs. However, the reliability of GPUs in error-intolerant applications is largely unproven. In particular, a lack of error checking and correcting (ECC) capability in the memory subsystems of graphics cards has been cited as a hindrance to the acceptance of GPUs as high-performance coprocessors, but the impact of this design has not been previously quantified. In this article we present MemtestG80, our software for assessing memory error rates on NVIDIA G80 and GT200-architecture-based graphics cards. Furthermore, we present the results of a large-scale assessment of GPU error rate, conducted by running MemtestG80 on over 20,000 hosts on the Folding@home distributed computing network. Our control experiments on consumer-grade and dedicated-GPGPU hardware in a controlled environment found no errors. However, our su...

  15. DOE standard: Radiological control

    SciTech Connect (OSTI)

    Not Available

    1999-07-01T23:59:59.000Z

    The Department of Energy (DOE) has developed this Standard to assist line managers in meeting their responsibilities for implementing occupational radiological control programs. DOE has established regulatory requirements for occupational radiation protection in Title 10 of the Code of Federal Regulations, Part 835 (10 CFR 835), ``Occupational Radiation Protection``. Failure to comply with these requirements may lead to appropriate enforcement actions as authorized under the Price Anderson Act Amendments (PAAA). While this Standard does not establish requirements, it does restate, paraphrase, or cite many (but not all) of the requirements of 10 CFR 835 and related documents (e.g., occupational safety and health, hazardous materials transportation, and environmental protection standards). Because of the wide range of activities undertaken by DOE and the varying requirements affecting these activities, DOE does not believe that it would be practical or useful to identify and reproduce the entire range of health and safety requirements in this Standard and therefore has not done so. In all cases, DOE cautions the user to review any underlying regulatory and contractual requirements and the primary guidance documents in their original context to ensure that the site program is adequate to ensure continuing compliance with the applicable requirements. To assist its operating entities in achieving and maintaining compliance with the requirements of 10 CFR 835, DOE has established its primary regulatory guidance in the DOE G 441.1 series of Guides. This Standard supplements the DOE G 441.1 series of Guides and serves as a secondary source of guidance for achieving compliance with 10 CFR 835.

  16. Applications of standard addition procedures in ion-selective electrode potentiometry

    E-Print Network [OSTI]

    Sachok, Bohdan

    1978-01-01T23:59:59.000Z

    of readings taken upon a sample. In this work, digital simulation of a generalized standard add1tion exper1ment provided results approaching 1. 5-2. 0'I relative error in both prec1sion and accuracy. This study ?ill also present guidelines to aid...). This analysis utilizes the exponentia'I form of equation 1 as: + y ) 50(E. /S) (C y + C &i/ 5 10(F0/S) 0 i 0 0 s (2) Fraser and workers (17) have developed a computer interactive display system which greatly facilitates the use of such an approach. However...

  17. Estimating IMU heading error from SAR images.

    SciTech Connect (OSTI)

    Doerry, Armin Walter

    2009-03-01T23:59:59.000Z

    Angular orientation errors of the real antenna for Synthetic Aperture Radar (SAR) will manifest as undesired illumination gradients in SAR images. These gradients can be measured, and the pointing error can be calculated. This can be done for single images, but done more robustly using multi-image methods. Several methods are provided in this report. The pointing error can then be fed back to the navigation Kalman filter to correct for problematic heading (yaw) error drift. This can mitigate the need for uncomfortable and undesired IMU alignment maneuvers such as S-turns.

  18. Flux recovery and a posteriori error estimators

    E-Print Network [OSTI]

    2010-05-20T23:59:59.000Z

    bility and the local efficiency bounds for this estimator are established provided that the ... For simple model problems, the energy norm of the true error is equal.

  19. Original Article Error Bounds and Metric Subregularity

    E-Print Network [OSTI]

    2014-06-18T23:59:59.000Z

    theory of error bounds of extended real-valued functions. Another objective is to ... Another observation is that neighbourhood V in the original definition of metric.

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

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01T23:59:59.000Z

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

  1. Content Literacy Tied to the New Standards

    E-Print Network [OSTI]

    Stuart, Steven J.

    Content Literacy Tied to the New Standards Tom Peters, Ed.D. SC Coalition for Mathematics & Science as they relate to the Common Core State Standards for Mathematics and the Next Generation Science Standards*. #12 in extended discussion about those ideas. Framework for K-12 Science pg 76 #12;So What Does this mean in K-12

  2. Error Mining on Dependency Trees Claire Gardent

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Error Mining on Dependency Trees Claire Gardent CNRS, LORIA, UMR 7503 Vandoeuvre-l`es-Nancy, F-l`es-Nancy, F-54600, France shashi.narayan@loria.fr Abstract In recent years, error mining approaches were propose an algorithm for mining trees and ap- ply it to detect the most likely sources of gen- eration

  3. SEU induced errors observed in microprocessor systems

    SciTech Connect (OSTI)

    Asenek, V.; Underwood, C.; Oldfield, M. [Univ. of Surrey, Guildford (United Kingdom). Surrey Space Centre] [Univ. of Surrey, Guildford (United Kingdom). Surrey Space Centre; Velazco, R.; Rezgui, S.; Cheynet, P. [TIMA Lab., Grenoble (France)] [TIMA Lab., Grenoble (France); Ecoffet, R. [Centre National d`Etudes Spatiales, Toulouse (France)] [Centre National d`Etudes Spatiales, Toulouse (France)

    1998-12-01T23:59:59.000Z

    In this paper, the authors present software tools for predicting the rate and nature of observable SEU induced errors in microprocessor systems. These tools are built around a commercial microprocessor simulator and are used to analyze real satellite application systems. Results obtained from simulating the nature of SEU induced errors are shown to correlate with ground-based radiation test data.

  4. Remarks on statistical errors in equivalent widths

    E-Print Network [OSTI]

    Klaus Vollmann; Thomas Eversberg

    2006-07-03T23:59:59.000Z

    Equivalent width measurements for rapid line variability in atomic spectral lines are degraded by increasing error bars with shorter exposure times. We derive an expression for the error of the line equivalent width $\\sigma(W_\\lambda)$ with respect to pure photon noise statistics and provide a correction value for previous calculations.

  5. Prediction Error and Event Boundaries 1 Running Head: PREDICTION ERROR AND EVENT BOUNDARIES

    E-Print Network [OSTI]

    Zacks, Jeffrey M.

    Prediction Error and Event Boundaries 1 Running Head: PREDICTION ERROR AND EVENT BOUNDARIES A computational model of event segmentation from perceptual prediction. Jeremy R. Reynolds, Jeffrey M. Zacks, and Todd S. Braver Washington University Manuscript #12;Prediction Error and Event Boundaries 2 People tend

  6. A Method for Treating Discretization Error in Nondeterministic Analysis

    SciTech Connect (OSTI)

    Alvin, K.F.

    1999-01-27T23:59:59.000Z

    A response surface methodology-based technique is presented for treating discretization error in non-deterministic analysis. The response surface, or metamodel, is estimated from computer experiments which vary both uncertain physical parameters and the fidelity of the computational mesh. The resultant metamodel is then used to propagate the variabilities in the continuous input parameters, while the mesh size is taken to zero, its asymptotic limit. With respect to mesh size, the metamodel is equivalent to Richardson extrapolation, in which solutions on coarser and finer meshes are used to estimate discretization error. The method is demonstrated on a one dimensional prismatic bar, in which uncertainty in the third vibration frequency is estimated by propagating variations in material modulus, density, and bar length. The results demonstrate the efficiency of the method for combining non-deterministic analysis with error estimation to obtain estimates of total simulation uncertainty. The results also show the relative sensitivity of failure estimates to solution bias errors in a reliability analysis, particularly when the physical variability of the system is low.

  7. Measurement uncertainties for vacuum standards at Korea Research Institute of Standards and Science

    SciTech Connect (OSTI)

    Hong, S. S.; Shin, Y. H.; Chung, K. H. [Vacuum Center, Korea Research Institute of Standards and Science, Daejeon 305-600 (Korea, Republic of)

    2006-09-15T23:59:59.000Z

    The Korea Research Institute of Standards and Science has three major vacuum systems: an ultrasonic interferometer manometer (UIM) (Sec. II, Figs. 1 and 2) for low vacuum, a static expansion system (SES) (Sec. III, Figs. 3 and 4) for medium vacuum, and an orifice-type dynamic expansion system (DES) (Sec. IV, Figs. 5 and 6) for high and ultrahigh vacuum. For each system explicit measurement model equations with multiple variables are, respectively, given. According to ISO standards, all these system variable errors were used to calculate the expanded uncertainty (U). For each system the expanded uncertainties (k=1, confidence level=95%) and relative expanded uncertainty (expanded uncertainty/generated pressure) are summarized in Table IV and are estimated to be as follows. For UIM, at 2.5-300 Pa generated pressure, the expanded uncertainty is <4.17x10{sup -2} Pa and the relative expanded uncertainty is <1.18x10{sup -2}; at 1-100 kPa generated pressure, the expanded uncertainty is <7.87 Pa and the relative expanded uncertainty is <7.84x10{sup -5}. For SES, at 3-100 Pa generated pressure, the expanded uncertainty is <1.77x10{sup -1} Pa and the relative expanded uncertainty is <1.81x10{sup -3}. For DES, at 4.6x10{sup -3}-1.3x10{sup -2} Pa generated pressure, the expanded uncertainty is <1.04x10{sup -4} Pa and the relative expanded uncertainty is <8.37x10{sup -3}; at 3.0x10{sup -6}-9.0x10{sup -4} Pa generated pressure, the expanded uncertainty is <8.21x10{sup -6} Pa and the relative expanded uncertainty is <1.37x10{sup -2}. Within uncertainty limits our bilateral and key comparisons [CCM.P-K4 (10 Pa-1 kPa)] are extensive and in good agreement with those of other nations (Fig. 8 and Table V)

  8. August 2007 Standards Actions

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

    August 2007 1.5 DOE Technical Standards Published No entries were received in August 2007 2.0 Non-Government Standards Actions 2.1 American National Standards Institute (ANSI)...

  9. July 2007 Standards Actions

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

    in June 2007 1.5 DOE Technical Standards Published No entries were received in June 2007 2.0 Non-Government Standards Actions 2.1 American National Standards Institute (ANSI)...

  10. October 2006 Standards Actions

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

    Project No. SAFT-0109 Continued on next page Standards Actions Page 2 October 2006 2.0 NON-GOVERNMENT STANDARDS ACTIONS 2.1 American National Standards Institute American...

  11. July 2006 Standards Actions

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

    were received in June 2006. Continued on next page Standards Actions Page 2 July 2005 2.0 Non-Government Standards Actions 2.1 American National Standards Institute (ANSI)...

  12. Error Detection and Error Classification: Failure Awareness in Data Transfer Scheduling

    SciTech Connect (OSTI)

    Louisiana State University; Balman, Mehmet; Kosar, Tevfik

    2010-10-27T23:59:59.000Z

    Data transfer in distributed environment is prone to frequent failures resulting from back-end system level problems, like connectivity failure which is technically untraceable by users. Error messages are not logged efficiently, and sometimes are not relevant/useful from users point-of-view. Our study explores the possibility of an efficient error detection and reporting system for such environments. Prior knowledge about the environment and awareness of the actual reason behind a failure would enable higher level planners to make better and accurate decisions. It is necessary to have well defined error detection and error reporting methods to increase the usability and serviceability of existing data transfer protocols and data management systems. We investigate the applicability of early error detection and error classification techniques and propose an error reporting framework and a failure-aware data transfer life cycle to improve arrangement of data transfer operations and to enhance decision making of data transfer schedulers.

  13. Energy Efficiency Product Standards

    Broader source: Energy.gov [DOE]

    '' Note: The federal government has imposed and updated appliance efficiency standards through several legislative acts,* and now has standards in place or under development for 30 classes of...

  14. Renewable Portfolio Standard

    Broader source: Energy.gov [DOE]

    In 2007, Minnesota legislation modified the state's existing non-mandated renewable energy objective, creating a mandatory renewable portfolio standard (RPS) called the Renewable Energy Standard ...

  15. November 2006 Standards Actions

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

    Standards Actions 2 American National Standards Institute (ANSI) 2 American Society of Mechanical Engineers (ASME) 2 ASTM International 2 American Nuclear Society...

  16. October 2007 Standards Actions

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

    Standards Actions 1 American National Standards Institute (ANSI) 1 American Society of Mechanical Engineers (ASME) 2 ASTM International 2 American Nuclear Society...

  17. May 2008 Standards Actions

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

    Standards Actions 2 American National Standards Institute (ANSI) 2 American Society of Mechanical Engineers (ASME) 2 ASTM International 2 American Nuclear Society...

  18. May 2006 Standards Actions

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

    Standards Actions 1 American National Standards Institute (ANSI) 1 American Society of Mechanical Engineers (ASME) 2 ASTM International 2 American Nuclear Society...

  19. February 2001 Standards Actions

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

    Technical Standards Program Document Status Visit the Technical Standards Program Web Site: http:tis.eh.doe.govtechstds Activity Summary In Conversion - 4 In Preparation...

  20. ERROR MODELS FOR LIGHT SENSORS BY STATISTICAL ANALYSIS OF RAW SENSOR MEASUREMENTS

    E-Print Network [OSTI]

    Potkonjak, Miodrag

    silicon solar cell that converts light impulses directly into electrical charges that can easily-based systems including calibration, sensor fusion and power management. We developed a system of statistical the standard procedure is to use error models to enable calibration, in a variant of our approach, we use

  1. Stationary Fuel Cell Application Codes and Standards: Overview and Gap Analysis

    SciTech Connect (OSTI)

    Blake, C. W.; Rivkin, C. H.

    2010-09-01T23:59:59.000Z

    This report provides an overview of codes and standards related to stationary fuel cell applications and identifies gaps and resolutions associated with relative codes and standards.

  2. Quantum error-correcting codes and devices

    DOE Patents [OSTI]

    Gottesman, Daniel (Los Alamos, NM)

    2000-10-03T23:59:59.000Z

    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.

  3. Organizational Errors: Directions for Future Research

    E-Print Network [OSTI]

    Carroll, John Stephen

    The goal of this chapter is to promote research about organizational errors—i.e., the actions of multiple organizational participants that deviate from organizationally specified rules and can potentially result in adverse ...

  4. Quantum Error Correction for Quantum Memories

    E-Print Network [OSTI]

    Barbara M. Terhal

    2015-01-20T23:59:59.000Z

    Active quantum error correction using qubit stabilizer codes has emerged as a promising, but experimentally challenging, engineering program for building a universal quantum computer. In this review we consider the formalism of qubit stabilizer and subsystem stabilizer codes and their possible use in protecting quantum information in a quantum memory. We review the theory of fault-tolerance and quantum error-correction, discuss examples of various codes and code constructions, the general quantum error correction conditions, the noise threshold, the special role played by Clifford gates and the route towards fault-tolerant universal quantum computation. The second part of the review is focused on providing an overview of quantum error correction using two-dimensional (topological) codes, in particular the surface code architecture. We discuss the complexity of decoding and the notion of passive or self-correcting quantum memories. The review does not focus on a particular technology but discusses topics that will be relevant for various quantum technologies.

  5. Issues in Purchasing and Maintaining Intrinsic Standards

    SciTech Connect (OSTI)

    PETTIT,RICHARD B.; JAEGER,KLAUS; EHRLICH,CHARLES D.

    2000-09-12T23:59:59.000Z

    Intrinsic standards are widely used in the metrology community because they realize the best level uncertainty for many metrology parameters. For some intrinsic standards, recommended practices have been developed to assist metrologists in the selection of equipment and the development of appropriate procedures in order to realize the intrinsic standard. As with the addition of any new standard, the metrology laboratory should consider the pros and cons relative to their needs before purchasing the standard so that the laboratory obtains the maximum benefit from setting up and maintaining these standards. While the specific issues that need to be addressed depend upon the specific intrinsic standard and the level of realization, general issues that should be considered include ensuring that the intrinsic standard is compatible with the laboratory environment, that the standard is compatible with the current and future workload, and whether additional support standards will be required in order to properly maintain the intrinsic standard. When intrinsic standards are used to realize the best level of uncertainty for a specific metrology parameter, they usually require critical and important maintenance activities. These activities can including training of staff in the system operation, as well as safety procedures; performing periodic characterization measurements to ensure proper system operation; carrying out periodic intercomparisons with similar intrinsic standards so that proper operation is demonstrated; and maintaining control or trend charts of system performance. This paper has summarized many of these important issues and therefore should be beneficial to any laboratory that is considering the purchase of an intrinsic standard.

  6. Technical Standards Program

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

    2011-02-23T23:59:59.000Z

    The Order promotes DOE's use of Voluntary Consensus Standards (VCS) as the primary method for application of technical standards and establishes and manages the DOE Technical Standards Program (TSP) including technical standards development, information, activities, issues, and interactions. Admin Chg 1 dated 3-12-13.

  7. Technical Standards Program

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

    1999-11-19T23:59:59.000Z

    The Technical Standards Program (TSP) promotes the use of voluntary consensus standards by the Department of Energy (DOE), provides DOE with the means to develop needed technical standards, and manages overall technical standards information, activities, issues, and interactions. Cancels DOE O 1300.2A. Canceled by DOE O 252.1A

  8. Standard 90, the planning

    SciTech Connect (OSTI)

    Not Available

    1985-10-01T23:59:59.000Z

    In order to understand the current proposed ANS/ASHRAE/IES Standard 90.1 Energy Efficient Design of New Non-Residential Buildings and New High-Rise, Residential Buildings, this article offers background on the initial Standard, the organization of the Standard committee, and the objectives established for the proposed Standard 90.1.

  9. A systems approach to reducing utility billing errors

    E-Print Network [OSTI]

    Ogura, Nori

    2013-01-01T23:59:59.000Z

    Many methods for analyzing the possibility of errors are practiced by organizations who are concerned about safety and error prevention. However, in situations where the error occurrence is random and difficult to track, ...

  10. Error Detection and Recovery for Robot Motion Planning with Uncertainty

    E-Print Network [OSTI]

    Donald, Bruce Randall

    1987-07-01T23:59:59.000Z

    Robots must plan and execute tasks in the presence of uncertainty. Uncertainty arises from sensing errors, control errors, and uncertainty in the geometry of the environment. The last, which is called model error, has ...

  11. Technical Standards,DOE Standards and Corresponding Directives...

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

    February 2, 2002 DOE Standards and Corresponding Directives Crosswalk DOE Standards and Corresponding Directives Crosswalk table Technical Standards,DOE Standards and Corresponding...

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

    SciTech Connect (OSTI)

    Clark, E.L.

    1994-07-01T23:59:59.000Z

    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.

  13. Construction Standards and Costs UC Irvine new construction pursues performance goals and applies quality standards that

    E-Print Network [OSTI]

    Rose, Michael R.

    Construction Standards and Costs UC Irvine new construction pursues performance goals and applies quality standards that affect the costs of capital projects. Periodic re-examination of these goals and standards is warranted. Construction costs are not "high" or "low" in the abstract, but rather in relation

  14. Running jobs error: "inet_arp_address_lookup"

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

    jobs error: "inetarpaddresslookup" Resolved: Running jobs error: "inetarpaddresslookup" September 22, 2013 by Helen He (0 Comments) Symptom: After the Hopper August 14...

  15. Global Error bounds for systems of convex polynomials over ...

    E-Print Network [OSTI]

    2011-11-11T23:59:59.000Z

    This paper is devoted to study the Lipschitzian/Holderian type global error ...... set is not neccessarily compact, we obtain the Hölder global error bound result.

  16. Estimating the error in simulation prediction over the design space

    SciTech Connect (OSTI)

    Shinn, R. (Rachel); Hemez, F. M. (François M.); Doebling, S. W. (Scott W.)

    2003-01-01T23:59:59.000Z

    This study addresses the assessrnent of accuracy of simulation predictions. A procedure is developed to validate a simple non-linear model defined to capture the hardening behavior of a foam material subjected to a short-duration transient impact. Validation means that the predictive accuracy of the model must be established, not just in the vicinity of a single testing condition, but for all settings or configurations of the system. The notion of validation domain is introduced to designate the design region where the model's predictive accuracy is appropriate for the application of interest. Techniques brought to bear to assess the model's predictive accuracy include test-analysis coi-relation, calibration, bootstrapping and sampling for uncertainty propagation and metamodeling. The model's predictive accuracy is established by training a metalnodel of prediction error. The prediction error is not assumed to be systcmatic. Instead, it depends on which configuration of the system is analyzed. Finally, the prediction error's confidence bounds are estimated by propagating the uncertainty associated with specific modeling assumptions.

  17. Error Channels and the Threshold for Fault-tolerant Quantum Computation

    E-Print Network [OSTI]

    Bryan Eastin

    2007-10-15T23:59:59.000Z

    This dissertation treats the topics of threshold calculation, ancilla construction, and non-standard error models. Chapter 2 introduces background material ranging from quantum mechanics to classical coding to thresholds for quantum computation. In Chapter 3 numerical and analytical means are used to generate estimates of and bounds on the threshold given an error model described by a restricted stochastic Pauli channel. Chapter 4 develops a simple, flexible means of estimating the threshold and applies it to some cases of interest. Finally, a novel method of ancilla construction is proposed in Chapter 5, and the difficulties associated with implementing it are discussed.

  18. Optimal error estimates for corrected trapezoidal rules

    E-Print Network [OSTI]

    Talvila, Erik

    2012-01-01T23:59:59.000Z

    Corrected trapezoidal rules are proved for $\\int_a^b f(x)\\,dx$ under the assumption that $f"\\in L^p([a,b])$ for some $1\\leq p\\leq\\infty$. Such quadrature rules involve the trapezoidal rule modified by the addition of a term $k[f'(a)-f'(b)]$. The coefficient $k$ in the quadrature formula is found that minimizes the error estimates. It is shown that when $f'$ is merely assumed to be continuous then the optimal rule is the trapezoidal rule itself. In this case error estimates are in terms of the Alexiewicz norm. This includes the case when $f"$ is integrable in the Henstock--Kurzweil sense or as a distribution. All error estimates are shown to be sharp for the given assumptions on $f"$. It is shown how to make these formulas exact for all cubic polynomials $f$. Composite formulas are computed for uniform partitions.

  19. Running head: STEREOTYPE THREAT REDUCES MEMORY ERRORS Stereotype threat can reduce older adults' memory errors

    E-Print Network [OSTI]

    Mather, Mara

    Running head: STEREOTYPE THREAT REDUCES MEMORY ERRORS Stereotype threat can reduce older adults, 90089-0191. Phone: 213-740-6772. Email: barbersa@usc.edu #12;STEREOTYPE THREAT REDUCES MEMORY ERRORS 2 Abstract (144 words) Stereotype threat often incurs the cost of reducing the amount of information

  20. Uncertainty and error in computational simulations

    SciTech Connect (OSTI)

    Oberkampf, W.L.; Diegert, K.V.; Alvin, K.F.; Rutherford, B.M.

    1997-10-01T23:59:59.000Z

    The present paper addresses the question: ``What are the general classes of uncertainty and error sources in complex, computational simulations?`` This is the first step of a two step process to develop a general methodology for quantitatively estimating the global modeling and simulation uncertainty in computational modeling and simulation. The second step is to develop a general mathematical procedure for representing, combining and propagating all of the individual sources through the simulation. The authors develop a comprehensive view of the general phases of modeling and simulation. The phases proposed are: conceptual modeling of the physical system, mathematical modeling of the system, discretization of the mathematical model, computer programming of the discrete model, numerical solution of the model, and interpretation of the results. This new view is built upon combining phases recognized in the disciplines of operations research and numerical solution methods for partial differential equations. The characteristics and activities of each of these phases is discussed in general, but examples are given for the fields of computational fluid dynamics and heat transfer. They argue that a clear distinction should be made between uncertainty and error that can arise in each of these phases. The present definitions for uncertainty and error are inadequate and. therefore, they propose comprehensive definitions for these terms. Specific classes of uncertainty and error sources are then defined that can occur in each phase of modeling and simulation. The numerical sources of error considered apply regardless of whether the discretization procedure is based on finite elements, finite volumes, or finite differences. To better explain the broad types of sources of uncertainty and error, and the utility of their categorization, they discuss a coupled-physics example simulation.

  1. April 2007 Standards Actions

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

    and Injury Surveillance Program Guidelines, 03222007; DOE-STD-1190-2007, OCSH-0005 2.0 Non-Government Standards Actions 2.1 American National Standards Institute (ANSI)...

  2. Puerto Rico- Interconnection Standards

    Broader source: Energy.gov [DOE]

    In 2007, the Autoridad de Energía Electrica de Puerto Rico (PREPA*) adopted interconnection standards based on the standard contained in the federal Energy Policy Act of 2005. PREPA promulgated...

  3. Laser Phase Errors in Seeded FELs

    SciTech Connect (OSTI)

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

    2012-03-28T23:59:59.000Z

    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.

  4. On the Error in QR Integration

    E-Print Network [OSTI]

    Dieci, Luca; Van Vleck, Erik

    2008-03-07T23:59:59.000Z

    ] . . . [R(t2, t1) +E2][R(t1, t0) +E1]R(t0) , k = 1, 2, . . . , where Q(tk) is the exact Q-factor at tk and the triangular transitions R(tj , tj?1) are also the exact ones. Moreover, the factors Ej , j = 1, . . . , k, are bounded in norm by the local error... committed during integration of the relevant differential equations; see Theorems 3.1 and 3.16.” We will henceforth simply write (2.7) ?Ej? ? ?, j = 1, 2, . . . , and stress that ? is computable, in fact controllable, in terms of local error tolerances...

  5. Statistical Error analysis of Nucleon-Nucleon phenomenological potentials

    E-Print Network [OSTI]

    R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola

    2014-06-10T23:59:59.000Z

    Nucleon-Nucleon potentials are commonplace in nuclear physics and are determined from a finite number of experimental data with limited precision sampling the scattering process. We study the statistical assumptions implicit in the standard least squares fitting procedure and apply, along with more conventional tests, a tail sensitive quantile-quantile test as a simple and confident tool to verify the normality of residuals. We show that the fulfilment of normality tests is linked to a judicious and consistent selection of a nucleon-nucleon database. These considerations prove crucial to a proper statistical error analysis and uncertainty propagation. We illustrate these issues by analyzing about 8000 proton-proton and neutron-proton scattering published data. This enables the construction of potentials meeting all statistical requirements necessary for statistical uncertainty estimates in nuclear structure calculations.

  6. Effects and Correction of Closed Orbit Magnet Errors in the SNS Ring

    SciTech Connect (OSTI)

    Bunch, S.C.; Holmes, J.

    2004-01-01T23:59:59.000Z

    We consider the effect and correction of three types of orbit errors in SNS: quadrupole displacement errors, dipole displacement errors, and dipole field errors. Using the ORBIT beam dynamics code, we focus on orbit deflection of a standard pencil beam and on beam losses in a high intensity injection simulation. We study the correction of these orbit errors using the proposed system of 88 (44 horizontal and 44 vertical) ring beam position monitors (BPMs) and 52 (24 horizontal and 28 vertical) dipole corrector magnets. Correction is carried out numerically by adjusting the kick strengths of the dipole corrector magnets to minimize the sum of the squares of the BPM signals for the pencil beam. In addition to using the exact BPM signals as input to the correction algorithm, we also consider the effect of random BPM signal errors. For all three types of error and for perturbations of individual magnets, the correction algorithm always chooses the three-bump method to localize the orbit displacement to the region between the magnet and its adjacent correctors. The values of the BPM signals resulting from specified settings of the dipole corrector kick strengths can be used to set up the orbit response matrix, which can then be applied to the correction in the limit that the signals from the separate errors add linearly. When high intensity calculations are carried out to study beam losses, it is seen that the SNS orbit correction system, even with BPM uncertainties, is sufficient to correct losses to less than 10-4 in nearly all cases, even those for which uncorrected losses constitute a large portion of the beam.

  7. The Residual Setup Errors of Different IGRT Alignment Procedures for Head and Neck IMRT and the Resulting Dosimetric Impact

    SciTech Connect (OSTI)

    Graff, Pierre [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States) [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Radiation-Oncology, Alexis Vautrin Cancer Center, Vandoeuvre-Les-Nancy (France); Doctoral School BioSE (EA4360), Nancy (France); Kirby, Neil [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)] [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Weinberg, Vivian [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States) [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Department of Biostatistics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Chen, Josephine; Yom, Sue S. [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)] [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Lambert, Louise [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States) [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Radiation-Oncology, Montreal University Centre, Montreal (Canada); Pouliot, Jean, E-mail: jpouliot@radonc.ucsf.edu [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)] [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)

    2013-05-01T23:59:59.000Z

    Purpose: To assess residual setup errors during head and neck radiation therapy and the resulting consequences for the delivered dose for various patient alignment procedures. Methods and Materials: Megavoltage cone beam computed tomography (MVCBCT) scans from 11 head and neck patients who underwent intensity modulated radiation therapy were used to assess setup errors. Each MVCBCT scan was registered to its reference planning kVCT, with seven different alignment procedures: automatic alignment and manual registration to 6 separate bony landmarks (sphenoid, left/right maxillary sinuses, mandible, cervical 1 [C1]-C2, and C7-thoracic 1 [T1] vertebrae). Shifts in the different alignments were compared with each other to determine whether there were any statistically significant differences. Then, the dose distribution was recalculated on 3 MVCBCT images per patient for every alignment procedure. The resulting dose-volume histograms for targets and organs at risk (OARs) were compared to those from the planning kVCTs. Results: The registration procedures produced statistically significant global differences in patient alignment and actual dose distribution, calling for a need for standardization of patient positioning. Vertically, the automatic, sphenoid, and maxillary sinuses alignments mainly generated posterior shifts and resulted in mean increases in maximal dose to OARs of >3% of the planned dose. The suggested choice of C1-C2 as a reference landmark appears valid, combining both OAR sparing and target coverage. Assuming this choice, relevant margins to apply around volumes of interest at the time of planning to take into account for the relative mobility of other regions are discussed. Conclusions: Use of different alignment procedures for treating head and neck patients produced variations in patient setup and dose distribution. With concern for standardizing practice, C1-C2 reference alignment with relevant margins around planning volumes seems to be a valid option.

  8. Meeting Residential Ventilation Standards

    E-Print Network [OSTI]

    ventilation standards, including American Society of Heating, Refrigerating, and Air-conditioning EngineersLBNL 4591E Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation Systems (ASHRAE) Standard 62.2, specify continuous operation of a defined mechanical ventilation system to provide

  9. 1996 DOE technical standards program workshop: Proceedings

    SciTech Connect (OSTI)

    NONE

    1996-07-01T23:59:59.000Z

    The workshop theme is `The Strategic Standardization Initiative - A Technology Exchange and Global Competitiveness Challenge for DOE.` The workshop goal is to inform the DOE technical standards community of strategic standardization activities taking place in the Department, other Government agencies, standards developing organizations, and industry. Individuals working on technical standards will be challenged to improve cooperation and communications with the involved organizations in response to the initiative. Workshop sessions include presentations by representatives from various Government agencies that focus on coordination among and participation of Government personnel in the voluntary standards process; reports by standards organizations, industry, and DOE representatives on current technology exchange programs; and how the road ahead appears for `information superhighway` standardization. Another session highlights successful standardization case studies selected from several sites across the DOE complex. The workshop concludes with a panel discussion on the goals and objectives of the DOE Technical Standards Program as envisioned by senior DOE management. The annual workshop on technical standards has proven to be an effective medium for communicating information related to standards throughout the DOE community. Technical standards are used to transfer technology and standardize work processes to produce consistent, acceptable results. They provide a practical solution to the Department`s challenge to protect the environment and the health and safety of the public and workers during all facility operations. Through standards, the technologies of industries and governments worldwide are available to DOE. The DOE Technical Standards Program, a Department-wide effort that crosscuts all organizations and disciplines, links the Department to those technologies.

  10. High Performance Dense Linear System Solver with Soft Error Resilience

    E-Print Network [OSTI]

    Dongarra, Jack

    High Performance Dense Linear System Solver with Soft Error Resilience Peng Du, Piotr Luszczek systems, and in some scientific applications C/R is not applicable for soft error at all due to error) high performance dense linear system solver with soft error resilience. By adopting a mathematical

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

    SciTech Connect (OSTI)

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

    2011-10-01T23:59:59.000Z

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

  12. Verifying Volume Rendering Using Discretization Error Analysis

    E-Print Network [OSTI]

    Kirby, Mike

    Verifying Volume Rendering Using Discretization Error Analysis Tiago Etiene, Daniel Jo¨nsson, Timo--We propose an approach for verification of volume rendering correctness based on an analysis of the volume rendering integral, the basis of most DVR algorithms. With respect to the most common discretization

  13. MEASUREMENT AND CORRECTION OF ULTRASONIC ANEMOMETER ERRORS

    E-Print Network [OSTI]

    Heinemann, Detlev

    commonly show systematic errors depending on wind speed due to inaccurate ultrasonic transducer mounting three- dimensional wind speed time series. Results for the variance and power spectra are shown. 1 wind speeds with ultrasonic anemometers: The measu- red flow is distorted by the probe head

  14. Hierarchical Classification of Documents with Error Control

    E-Print Network [OSTI]

    King, Kuo Chin Irwin

    Hierarchical Classification of Documents with Error Control Chun-hung Cheng1 , Jian Tang2 , Ada Wai is a function that matches a new object with one of the predefined classes. Document classification is characterized by the large number of attributes involved in the objects (documents). The traditional method

  15. Hierarchical Classification of Documents with Error Control

    E-Print Network [OSTI]

    Fu, Ada Waichee

    Hierarchical Classification of Documents with Error Control Chun­hung Cheng 1 , Jian Tang 2 , Ada. Classification is a function that matches a new object with one of the predefined classes. Document classification is characterized by the large number of attributes involved in the objects (documents

  16. Nuclear Data Verification and Standardization

    SciTech Connect (OSTI)

    Karam, Lisa R.; Arif, Muhammad; Thompson, Alan K.

    2011-10-01T23:59:59.000Z

    The objective of this interagency program is to provide accurate neutron interaction verification and standardization data for the U.S. Department of Energy Division of Nuclear Physics programs which include astrophysics, radioactive beam studies, and heavy-ion reactions. The measurements made in this program are also useful to other programs that indirectly use the unique properties of the neutron for diagnostic and analytical purposes. These include homeland security, personnel health and safety, nuclear waste disposal, treaty verification, national defense, and nuclear based energy production. The work includes the verification of reference standard cross sections and related neutron data employing the unique facilities and capabilities at NIST and other laboratories as required; leadership and participation in international intercomparisons and collaborations; and the preservation of standard reference deposits. An essential element of the program is critical evaluation of neutron interaction data standards including international coordinations. Data testing of critical data for important applications is included. The program is jointly supported by the Department of Energy and the National Institute of Standards and Technology.

  17. Web Security Standards and Practices Page 1 of 13 Web Security Standard Operating Environment (SOE) V1.doc

    E-Print Network [OSTI]

    Qian, Ning

    Web Security Standards and Practices Page 1 of 13 Web Security Standard Operating Environment (SOE) V1.doc Columbia University Web Security Standards and Practices Objective and Scope Effective Date: January 2011 This Web Security Standards and Practices document establishes a baseline of security related

  18. Webinar: Introduction to SAE Hydrogen Fueling Standardization...

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

    to the new SAE J2601 and J2799 standard related to public refueling of hydrogen fuel cell electric vehicles. So as Alli also mentioned, I'm going to be moderating today's...

  19. HUMAN ERROR QUANTIFICATION USING PERFORMANCE SHAPING FACTORS IN THE SPAR-H METHOD

    SciTech Connect (OSTI)

    Harold S. Blackman; David I. Gertman; Ronald L. Boring

    2008-09-01T23:59:59.000Z

    This paper describes a cognitively based human reliability analysis (HRA) quantification technique for estimating the human error probabilities (HEPs) associated with operator and crew actions at nuclear power plants. The method described here, Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method, was developed to aid in characterizing and quantifying human performance at nuclear power plants. The intent was to develop a defensible method that would consider all factors that may influence performance. In the SPAR-H approach, calculation of HEP rates is especially straightforward, starting with pre-defined nominal error rates for cognitive vs. action-oriented tasks, and incorporating performance shaping factor multipliers upon those nominal error rates.

  20. Demonstration Integrated Knowledge-Based System for Estimating Human Error Probabilities

    SciTech Connect (OSTI)

    Auflick, Jack L.

    1999-04-21T23:59:59.000Z

    Human Reliability Analysis (HRA) is currently comprised of at least 40 different methods that are used to analyze, predict, and evaluate human performance in probabilistic terms. Systematic HRAs allow analysts to examine human-machine relationships, identify error-likely situations, and provide estimates of relative frequencies for human errors on critical tasks, highlighting the most beneficial areas for system improvements. Unfortunately, each of HRA's methods has a different philosophical approach, thereby producing estimates of human error probabilities (HEPs) that area better or worse match to the error likely situation of interest. Poor selection of methodology, or the improper application of techniques can produce invalid HEP estimates, where that erroneous estimation of potential human failure could have potentially severe consequences in terms of the estimated occurrence of injury, death, and/or property damage.

  1. The Standard Error of Percentiles Author(s): W. Duane Evans

    E-Print Network [OSTI]

    Masci, Frank

    Statistical Association, Vol. 37, No. 219 (Sep., 1942), pp. 367- 376 Published by: American Statistical contact support@jstor.org. American Statistical Association is collaborating with JSTOR to digitize, preserve and extend access to Journal of the American Statistical Association. http://www.jstor.org #12;THE

  2. Standard Templates Adaptive Parallel Library

    E-Print Network [OSTI]

    Arzu, Francisco Jose

    2000-01-01T23:59:59.000Z

    ]. STAPL &s v, nuen m a simple extension of the C++ hingu. & e f1. 4f which prov&dcs a SPMD motlel of' parallelism that maps easily onto distnbuted sharcd- memory sys&ems (e. g, HP V-class, SGI Power Challenge o& networks of workstations using Tread... () uses the schcduler to dispatch the per-processor segments of the container to the processors. Figure 2 show the relations between the STAPL components. 2. 2 Related %'ork 2. 2. 1 Parallel Standard Template I. ibrary The HPC+ i consortium h...

  3. CONVERSION OF DOE TECHNICAL STANDARDS TO NON-GOVERNMENT STANDARDS

    Broader source: Energy.gov [DOE]

    PurposeThis procedure provides guidance on the conversion of DOE Technical Standards to Voluntary Consensus Standards (VCSs), also referred to as non-Government standards

  4. Distributed Generation Standard Contracts

    Broader source: Energy.gov [DOE]

    '''''Note: The second enrollment period for standard contracts in 2013 closed June 28. The third is scheduled to begin in September.'''''

  5. ORISE: Standards development

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

    of industry standards that provide guidance and support to decontamination and decommissioning projects across the United States. Because of our extensive experience...

  6. Particulate Matter Standards (Ohio)

    Broader source: Energy.gov [DOE]

    This chapter of the law establishes that the Ohio Environmental Protection Agency sets the standards for particulate emissions from a variety of sources, including facilities that generate power. ...

  7. The Standard Model

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-12T23:59:59.000Z

    Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.

  8. Renewable Energy Standard

    Broader source: Energy.gov [DOE]

    Rhode Island's Renewable Energy Standard (RES), established in June 2004, requires the state's retail electricity providers -- including non-regulated power producers and distribution companies --...

  9. Energy Conservation Standards Activities

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

    Report to Congress August 2014 United States Department of Energy Washington, DC 20585 Energy Conservation Standards Activities Report to Congress | Page i Message from the...

  10. Standard Subject Classification System

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

    1979-08-14T23:59:59.000Z

    The order establishes the DOE Standard Subject Classification System for classifying documents and records by subject, including correspondence, directives, and forms.Cancels DOE O 0000.1.

  11. Groundwater Quality Standards (Nebraska)

    Broader source: Energy.gov [DOE]

    These regulations, promulgated by the Department of Environmental Quality, contain groundwater quality standards and classifications, regulations for point sources, and provisions for remedial action.

  12. February 2008 Standards Actions

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

    2 American National Standards Institute (ANSI) 2 American Society of Mechanical Engineers (ASME) 2 ASTM International 2 American Nuclear Society (ANS) 2 National Fire Protection...

  13. November 2007 Standards Actions

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

    1 American National Standards Institute (ANSI) 1 American Society of Mechanical Engineers (ASME) 2 ASTM International 2 American Nuclear Society (ANS) 2 National Fire Protection...

  14. National Certification Standard

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

    Certification Standard for the Geothermal Heat Pump Industry Principal Investigator John Kelly Geothermal Heat Pump Consortium GSHP Demonstration Projects May 18, 2010 This...

  15. Columbia- Renewables Portfolio Standard

    Broader source: Energy.gov [DOE]

    In November 2004, voters in Columbia, Missouri approved a proposal to adopt a local renewables portfolio standard (RPS).* The initiative requires the city's municipal utility, Columbia Water and...

  16. Standards Actions, October 2000

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

    61326-1-am2-2000, Electrical equipment for measure- ment, control and laboratory use - EMC requirements - Part 1: General requirements. American National Standards Projects...

  17. Quantum Latin squares and unitary error bases

    E-Print Network [OSTI]

    Benjamin Musto; Jamie Vicary

    2015-04-10T23:59:59.000Z

    In this paper we introduce quantum Latin squares, combinatorial quantum objects which generalize classical Latin squares, and investigate their applications in quantum computer science. Our main results are on applications to unitary error bases (UEBs), basic structures in quantum information which lie at the heart of procedures such as teleportation, dense coding and error correction. We present a new method for constructing a UEB from a quantum Latin square equipped with extra data. Developing construction techniques for UEBs has been a major activity in quantum computation, with three primary methods proposed: shift-and-multiply, Hadamard, and algebraic. We show that our new approach simultaneously generalizes the shift-and-multiply and Hadamard methods. Furthermore, we explicitly construct a UEB using our technique which we prove cannot be obtained from any of these existing methods.

  18. MODEL CONSERVATION STANDARD INTRODUCTION

    E-Print Network [OSTI]

    programs, the standard for all new commercial buildings, the standard for utility commercial conservation RESIDENTIAL AND COMMERCIAL BUILDINGS The region should acquire all electric energy conservation measure savings from new residential and new commercial buildings that have a benefit-to-cost ratio greater than

  19. Accurate description of torsion potentials in conjugated polymers using density functionals with reduced self-interaction error

    SciTech Connect (OSTI)

    Sutton, Christopher; Gray, Matthew T.; Brunsfeld, Max; Parrish, Robert M.; Sherrill, C. David; Sears, John S.; Brédas, Jean-Luc, E-mail: jean-luc.bredas@chemistry.gatech.edu, E-mail: thomas.koerzdoerfer@uni-potsdam.de [School of Chemistry and Biochemistry and Center for Computational Molecular Science and Technology, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States)] [School of Chemistry and Biochemistry and Center for Computational Molecular Science and Technology, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States); Körzdörfer, Thomas, E-mail: jean-luc.bredas@chemistry.gatech.edu, E-mail: thomas.koerzdoerfer@uni-potsdam.de [School of Chemistry and Biochemistry and Center for Computational Molecular Science and Technology, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States) [School of Chemistry and Biochemistry and Center for Computational Molecular Science and Technology, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States); Computational Chemistry, Institute of Chemistry, University of Potsdam, D-14476 Potsdam (Germany)

    2014-02-07T23:59:59.000Z

    We investigate the torsion potentials in two prototypical ?-conjugated polymers, polyacetylene and polydiacetylene, as a function of chain length using different flavors of density functional theory. Our study provides a quantitative analysis of the delocalization error in standard semilocal and hybrid density functionals and demonstrates how it can influence structural and thermodynamic properties. The delocalization error is quantified by evaluating the many-electron self-interaction error (MESIE) for fractional electron numbers, which allows us to establish a direct connection between the MESIE and the error in the torsion barriers. The use of non-empirically tuned long-range corrected hybrid functionals results in a very significant reduction of the MESIE and leads to an improved description of torsion barrier heights. In addition, we demonstrate how our analysis allows the determination of the effective conjugation length in polyacetylene and polydiacetylene chains.

  20. Efficient Error Calculation for Multiresolution Texture-Based Volume Visualization

    SciTech Connect (OSTI)

    LaMar, E; Hamann, B; Joy, K I

    2001-10-16T23:59:59.000Z

    Multiresolution texture-based volume visualization is an excellent technique to enable interactive rendering of massive data sets. Interactive manipulation of a transfer function is necessary for proper exploration of a data set. However, multiresolution techniques require assessing the accuracy of the resulting images, and re-computing the error after each change in a transfer function is very expensive. They extend their existing multiresolution volume visualization method by introducing a method for accelerating error calculations for multiresolution volume approximations. Computing the error for an approximation requires adding individual error terms. One error value must be computed once for each original voxel and its corresponding approximating voxel. For byte data, i.e., data sets where integer function values between 0 and 255 are given, they observe that the set of error pairs can be quite large, yet the set of unique error pairs is small. instead of evaluating the error function for each original voxel, they construct a table of the unique combinations and the number of their occurrences. To evaluate the error, they add the products of the error function for each unique error pair and the frequency of each error pair. This approach dramatically reduces the amount of computation time involved and allows them to re-compute the error associated with a new transfer function quickly.

  1. DOE Coordination Meeting CODES & STANDARDS

    E-Print Network [OSTI]

    of the International Standards Organization's standards for hydrogen refueling and storage, by 2006; · Complete. Provide technical resources to harmonize the development of international standards among IEC, ISO negotiations with critical Standard Development Organizations and develop draft generic licensing agreement

  2. Reply To "Comment on 'Quantum Convolutional Error-Correcting Codes' "

    E-Print Network [OSTI]

    H. F. Chau

    2005-06-02T23:59:59.000Z

    In their comment, de Almedia and Palazzo \\cite{comment} discovered an error in my earlier paper concerning the construction of quantum convolutional codes (quant-ph/9712029). This error can be repaired by modifying the method of code construction.

  3. Human error contribution to nuclear materials-handling events

    E-Print Network [OSTI]

    Sutton, Bradley (Bradley Jordan)

    2007-01-01T23:59:59.000Z

    This thesis analyzes a sample of 15 fuel-handling events from the past ten years at commercial nuclear reactors with significant human error contributions in order to detail the contribution of human error to fuel-handling ...

  4. Evolved Error Management Biases in the Attribution of Anger

    E-Print Network [OSTI]

    Galperin, Andrew

    2012-01-01T23:59:59.000Z

    von Hippel, W. , Poore, J. C. , Buss, D. M. , et al. (under27, 733-763. Haselton, M. G. , & Buss, D. M. (2000). Error27, 733-763. Haselton, M. G. , & Buss, D. M. (2000). Error

  5. ,,,"Incandescent","Standard Fluorescent","Compact Fluorescent","High-Intensity Discharge","Halogen"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average0.9 Relative Standard Errors for Table98.

  6. ,,,"Incandescent","Standard Fluorescent","Compact Fluorescent","High-Intensity Discharge","Halogen"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average0.9 Relative Standard Errors for Table98.B39.

  7. DOE technical standards list. Department of Energy standards index

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    This document was prepared for use by personnel involved in the selection and use of DOE technical standards and other Government and non-Government standards. This TSL provides listing of current DOE technical standards, non-Government standards that have been adopted by DOE, other Government documents in which DOE has a recorded interest, and canceled DOE technical standards. Information on new DOE technical standards projects, technical standards released for coordination, recently published DOE technical standards, and activities of non-Government standards bodies that may be of interest to DOE is published monthly in Standards Actions.

  8. Sonication standard laboratory module

    DOE Patents [OSTI]

    Beugelsdijk, Tony (Los Alamos, NM); Hollen, Robert M. (Los Alamos, NM); Erkkila, Tracy H. (Los Alamos, NM); Bronisz, Lawrence E. (Los Alamos, NM); Roybal, Jeffrey E. (Santa Fe, NM); Clark, Michael Leon (Menan, ID)

    1999-01-01T23:59:59.000Z

    A standard laboratory module for automatically producing a solution of cominants from a soil sample. A sonication tip agitates a solution containing the soil sample in a beaker while a stepper motor rotates the sample. An aspirator tube, connected to a vacuum, draws the upper layer of solution from the beaker through a filter and into another beaker. This beaker can thereafter be removed for analysis of the solution. The standard laboratory module encloses an embedded controller providing process control, status feedback information and maintenance procedures for the equipment and operations within the standard laboratory module.

  9. Clustered Error Correction of Codeword-Stabilized Quantum Codes

    E-Print Network [OSTI]

    Yunfan Li; Ilya Dumer; Leonid P. Pryadko

    2010-03-08T23:59:59.000Z

    Codeword stabilized (CWS) codes are a general class of quantum codes that includes stabilizer codes and many families of non-additive codes with good parameters. For such a non-additive code correcting all t-qubit errors, we propose an algorithm that employs a single measurement to test all errors located on a given set of t qubits. Compared with exhaustive error screening, this reduces the total number of measurements required for error recovery by a factor of about 3^t.

  10. Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications

    E-Print Network [OSTI]

    Garcia, Tanya

    2012-10-19T23:59:59.000Z

    to the models considered in Tsiatis and Ma (2004), our model is less stringent because it allows an unspecified model error distribution and unspecified covariate distribution, not just the latter. With an unspecified model error distribution, the RMM... with measurement error is a very different problem compared to the model considered in Tsiatis and Ma (2004), where the model error distribution has a known parametric form. Consequently, the semiparamet- ric treatment here is also drastically different. Our...

  11. Error Analysis in Nuclear Density Functional Theory

    E-Print Network [OSTI]

    Nicolas Schunck; Jordan D. McDonnell; Jason Sarich; Stefan M. Wild; Dave Higdon

    2014-07-11T23:59:59.000Z

    Nuclear density functional theory (DFT) is the only microscopic, global approach to the structure of atomic nuclei. It is used in numerous applications, from determining the limits of stability to gaining a deep understanding of the formation of elements in the universe or the mechanisms that power stars and reactors. The predictive power of the theory depends on the amount of physics embedded in the energy density functional as well as on efficient ways to determine a small number of free parameters and solve the DFT equations. In this article, we discuss the various sources of uncertainties and errors encountered in DFT and possible methods to quantify these uncertainties in a rigorous manner.

  12. Franklin Trouble Shooting and Error Messages

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget(DANCE) TargetFormsTrouble Shooting and Error

  13. Edison Trouble Shooting and Error Messages

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet UpdateEarthTrouble Shooting and Error

  14. Susceptibility of Commodity Systems and Software to Memory Soft Errors

    E-Print Network [OSTI]

    Riska, Alma

    Susceptibility of Commodity Systems and Software to Memory Soft Errors Alan Messer, Member, IEEE Abstract--It is widely understood that most system downtime is acounted for by programming errors transient errors in computer system hardware due to external factors, such as cosmic rays. This work

  15. A Taxonomy of Number Entry Error Sarah Wiseman

    E-Print Network [OSTI]

    Cairns, Paul

    A Taxonomy of Number Entry Error Sarah Wiseman UCLIC MPEB, Malet Place London, WC1E 7JE sarah and the subsequent process of creating a taxonomy of errors from the information gathered. A total of 350 errors were. These codes are then organised into a taxonomy similar to that of Zhang et al (2004). We show how

  16. A Taxonomy of Number Entry Error Sarah Wiseman

    E-Print Network [OSTI]

    Subramanian, Sriram

    A Taxonomy of Number Entry Error Sarah Wiseman UCLIC MPEB, Malet Place London, WC1E 7JE sarah and the subsequent process of creating a taxonomy of errors from the information gathered. A total of 345 errors were. These codes are then organised into a taxonomy similar to that of Zhang et al (2004). We show how

  17. Predictors of Threat and Error Management: Identification of Core

    E-Print Network [OSTI]

    Predictors of Threat and Error Management: Identification of Core Nontechnical Skills In normal flight operations, crews are faced with a variety of external threats and commit a range of errors of these threats and errors therefore forms an essential element of enhancing performance and minimizing risk

  18. Error rate and power dissipation in nano-logic devices

    E-Print Network [OSTI]

    Kim, Jong Un

    2004-01-01T23:59:59.000Z

    Current-controlled logic and single electron logic processors have been investigated with respect to thermal-induced bit error. A maximal error rate for both logic processors is regarded as one bit-error/year/chip. A maximal clock frequency...

  19. Bolstered Error Estimation Ulisses Braga-Neto a,c

    E-Print Network [OSTI]

    Braga-Neto, Ulisses

    the bolstered error estimators proposed in this paper, as part of a larger library for classification and error of the data. It has a direct geometric interpretation and can be easily applied to any classification rule as smoothed error estimation. In some important cases, such as a linear classification rule with a Gaussian

  20. Renewable Energy Standard

    Broader source: Energy.gov [DOE]

    With the passage of [http://www.secstate.wa.gov/elections/initiatives/text/I937.pdf Initiative 937] in 2006, Washington became the second state after Colorado to pass a renewable energy standard by...

  1. Roundness calibration standard

    DOE Patents [OSTI]

    Burrus, Brice M. (6620 Wachese La., Knoxville, TN 37912)

    1984-01-01T23:59:59.000Z

    A roundness calibration standard is provided with a first arc constituting the major portion of a circle and a second arc lying between the remainder of the circle and the chord extending between the ends of said first arc.

  2. Energy Efficiency Resource Standard

    Broader source: Energy.gov [DOE]

    In 2008, New Mexico enacted H.B. 305, the Efficient Use of Energy Act, which created an Energy Efficiency Resource Standard (EERS) for New Mexico’s electric utilities, and a requirement that all ...

  3. Standards Actions, July 2001

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

    - Standard method for testing the long-term alpha irradiation stability of so- lidified high-level radioactive waste forms - Septem- ber 8, 2001. * ISODIS 14830-1, Condition...

  4. August 2001 Standards Actions

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

    - May 10, 2001. ANSIASTM D6239-01, Test Method for Uranium in Drinking Water by High-Resolution Alpha-Liquid- Scintillation Spectrometry (new standard) - May 22, 2001....

  5. Building Energy Standards

    Broader source: Energy.gov [DOE]

    The 2015 Vermont Commercial Building Energy Standards (CBES) took effect on March 1, 2015. The code is based on the 2015 IECC, with amendments to incorporate ASHRAE 90.1-2013. The new guidelines ...

  6. Technical Standards Program

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

    2011-02-23T23:59:59.000Z

    The order establishes the DOE Technical Standards Program. Cancels DOE O 252.1 and DOE G 252.1-1. Admin Chg 1, dated 3-12-13 cancels DOE O 252.1A.

  7. Drinking Water Standards

    E-Print Network [OSTI]

    Dozier, Monty; McFarland, Mark L.

    2006-04-26T23:59:59.000Z

    This publication explains the federal safety standards for drinking water provided by public water supply systems. It discusses the legal requirements for public water supplies, the maximum level allowed for contaminants in the water...

  8. Standards Actions, May 2001

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

    Standards are proposed for reaffirmation: * DOE-HDBK-1081-94, Primer on Spontaneous Heating and Pyrophoricity, Decem- ber 1994. * DOE-STD-1027-92, including Change Notice 1,...

  9. Renewables Portfolio Standard

    Broader source: Energy.gov [DOE]

    In January 2005, the District of Columbia Council enacted a renewable portfolio standard (RPS) that applies to all retail electricity sales in the District. In October 2008 the RPS was amended by...

  10. February 2002 Standards Actions

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

    Protection of Electronic Com- puterData Processing Equipment (revision of ANSINFPA 75-1999) - February 26, 2002. NFPA 80, Standard for Fire Doors and Fire Windows (revision of...

  11. Standardization of Firearms

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

    2000-03-02T23:59:59.000Z

    Establishes Department of Energy (DOE) requirements for the standardization of firearms and limitations of firearms inventories maintained in support of safeguards and security activities. Does not cancel other directives.

  12. Reliability Standards Owner

    Broader source: Energy.gov [DOE]

    This position is located in the Internal Operations and Asset Management group of Planning and Asset Management (TP). A successful candidate in this position will serve as the Reliability Standards...

  13. Low Carbon Fuel Standards

    E-Print Network [OSTI]

    Sperling, Dan; Yeh, Sonia

    2009-01-01T23:59:59.000Z

    S O N I A YE H Low Carbon Fuel Standards The most direct andalternative transportation fuels is to spur innovation withstandard for upstream fuel producers. hen it comes to energy

  14. Energy Efficiency Standard

    Broader source: Energy.gov [DOE]

    In 2008, Iowa enacted S.B. 2386, which requires the Iowa Utilities Board (IUB) to create energy savings standards (electricity and natural gas) for all rate-regulated utilities. The IUB ordered...

  15. EPCglobal : a universal standard

    E-Print Network [OSTI]

    Aguirre, Juan Ignacio

    2007-01-01T23:59:59.000Z

    This thesis evaluates the likelihood of EPCglobal becoming the universal RFID standard by presenting a framework of ten factors used to analyze and determine if EPCglobal is moving in the right direction. The ten factors ...

  16. Standards Actions, April 2000

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

    Technical Standard on this matter no longer exists. Occupational Safety and Health Handbook, Project Number HFAC-0011; Terry Krietz, EH-51; 301-903-6456, Fax 301-903-2239,...

  17. SAE Standards Support

    SciTech Connect (OSTI)

    Gowri, Krishnan

    2012-11-01T23:59:59.000Z

    This report summarizes PNNL activities in FY 2012 in support of the following two vehicle communication standards activities: • Technical support to SAE, ANSI and NIST technical working groups. PNNL actively contributed to the use case development, harmonization, and evaluation of the SAE standards activities for vehicle to grid communication • Tested and validated a set of potential technologies for meeting SAE communication requirements and provided recommendations for technology choices.

  18. Surface Water Quality Standards

    E-Print Network [OSTI]

    Wythe, Kathy

    2007-01-01T23:59:59.000Z

    recreational uses. ?The Commission will seek substantial additional public comment on any proposed changes to the standards before adopting them into the state admin- istrative code,? Davenport said. ?Because of the com- plexity and regulatory importance... Conservation Board?s state watershed coordinator, said the standards for contact recreation, with only a few exceptions, are uniformly applied regardless of water body type or the actual level of recreation use. ?Because a minimum of 10 water samples over a...

  19. Does Standard Cosmology Express Cosmological Principle Faithfully?

    E-Print Network [OSTI]

    Ding-fang Zeng; Hai-jun Zhao

    2005-06-30T23:59:59.000Z

    In 1+1 dimensional case, Einstein equation cannot give us any information on the evolution of the universe because the Einstein tensor of the system is identically zero. We study such a 1+1 dimensional cosmology and find the metric of it according to cosmological principle and special relativity, but the results contradict the usual expression of cosmological principle of standard cosmology. So we doubt in 1+3 dimensional case, cosmological principle is expressed faithfully by standard cosmology.

  20. An Improved Technique for Reducing False Alarms Due to Soft Errors A significant fraction of soft errors in modern

    E-Print Network [OSTI]

    Polian, Ilia

    of soft errors in modern microprocessors has been reported to never lead to a system failure. Any techniques are enhanced by a methodology to handle soft errors on address bits. Furthermore, we demonstrate]. Consequently, many state-of-the art systems provide soft error detection and correction capabilities [Hass 89

  1. Psychological scaling of expert estimates of human error probabilities: application to nuclear power plant operation

    SciTech Connect (OSTI)

    Comer, K.; Gaddy, C.D.; Seaver, D.A.; Stillwell, W.G.

    1985-01-01T23:59:59.000Z

    The US Nuclear Regulatory Commission and Sandia National Laboratories sponsored a project to evaluate psychological scaling techniques for use in generating estimates of human error probabilities. The project evaluated two techniques: direct numerical estimation and paired comparisons. Expert estimates were found to be consistent across and within judges. Convergent validity was good, in comparison to estimates in a handbook of human reliability. Predictive validity could not be established because of the lack of actual relative frequencies of error (which will be a difficulty inherent in validation of any procedure used to estimate HEPs). Application of expert estimates in probabilistic risk assessment and in human factors is discussed.

  2. Technological Advancements and Error Rates in Radiation Therapy Delivery

    SciTech Connect (OSTI)

    Margalit, Danielle N., E-mail: dmargalit@partners.org [Harvard Radiation Oncology Program, Boston, MA (United States); Harvard Cancer Consortium and Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston, MA (United States); Chen, Yu-Hui; Catalano, Paul J.; Heckman, Kenneth; Vivenzio, Todd; Nissen, Kristopher; Wolfsberger, Luciant D.; Cormack, Robert A.; Mauch, Peter; Ng, Andrea K. [Harvard Cancer Consortium and Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston, MA (United States)

    2011-11-15T23:59:59.000Z

    Purpose: Technological advances in radiation therapy (RT) delivery have the potential to reduce errors via increased automation and built-in quality assurance (QA) safeguards, yet may also introduce new types of errors. Intensity-modulated RT (IMRT) is an increasingly used technology that is more technically complex than three-dimensional (3D)-conformal RT and conventional RT. We determined the rate of reported errors in RT delivery among IMRT and 3D/conventional RT treatments and characterized the errors associated with the respective techniques to improve existing QA processes. Methods and Materials: All errors in external beam RT delivery were prospectively recorded via a nonpunitive error-reporting system at Brigham and Women's Hospital/Dana Farber Cancer Institute. Errors are defined as any unplanned deviation from the intended RT treatment and are reviewed during monthly departmental quality improvement meetings. We analyzed all reported errors since the routine use of IMRT in our department, from January 2004 to July 2009. Fisher's exact test was used to determine the association between treatment technique (IMRT vs. 3D/conventional) and specific error types. Effect estimates were computed using logistic regression. Results: There were 155 errors in RT delivery among 241,546 fractions (0.06%), and none were clinically significant. IMRT was commonly associated with errors in machine parameters (nine of 19 errors) and data entry and interpretation (six of 19 errors). IMRT was associated with a lower rate of reported errors compared with 3D/conventional RT (0.03% vs. 0.07%, p = 0.001) and specifically fewer accessory errors (odds ratio, 0.11; 95% confidence interval, 0.01-0.78) and setup errors (odds ratio, 0.24; 95% confidence interval, 0.08-0.79). Conclusions: The rate of errors in RT delivery is low. The types of errors differ significantly between IMRT and 3D/conventional RT, suggesting that QA processes must be uniquely adapted for each technique. There was a lower error rate with IMRT compared with 3D/conventional RT, highlighting the need for sustained vigilance against errors common to more traditional treatment techniques.

  3. Locked modes and magnetic field errors in MST

    SciTech Connect (OSTI)

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

    1992-06-01T23:59:59.000Z

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

  4. Seminar on Software Engineering Software Standards

    E-Print Network [OSTI]

    Feitelson, Dror

    is that there are so many of them" #12;Types of Standards Coding standards APIs and protocols Process standards Quality standards #12;Types of Standards Coding standards APIs and protocols Process standards Quality standards of Standards Coding standards APIs and protocols Process standards Quality standards STL and Java libraries

  5. Technical Standards, Style Guide- August 1, 2000

    Broader source: Energy.gov [DOE]

    Style Guide for the Preparation of DOE Technical Standards (Standards, Handbooks, and Technical Standards Lists)

  6. EFFECT OF MEASUREMENT ERRORS ON PREDICTED COSMOLOGICAL CONSTRAINTS FROM SHEAR PEAK STATISTICS WITH LARGE SYNOPTIC SURVEY TELESCOPE

    SciTech Connect (OSTI)

    Bard, D.; Chang, C.; Kahn, S. M.; Gilmore, K.; Marshall, S. [KIPAC, Stanford University, 452 Lomita Mall, Stanford, CA 94309 (United States); Kratochvil, J. M.; Huffenberger, K. M. [Department of Physics, University of Miami, Coral Gables, FL 33124 (United States); May, M. [Physics Department, Brookhaven National Laboratory, Upton, NY 11973 (United States); AlSayyad, Y.; Connolly, A.; Gibson, R. R.; Jones, L.; Krughoff, S. [Department of Astronomy, University of Washington, Seattle, WA 98195 (United States); Ahmad, Z.; Bankert, J.; Grace, E.; Hannel, M.; Lorenz, S. [Department of Physics, Purdue University, West Lafayette, IN 47907 (United States); Haiman, Z.; Jernigan, J. G., E-mail: djbard@slac.stanford.edu [Department of Astronomy and Astrophysics, Columbia University, New York, NY 10027 (United States); and others

    2013-09-01T23:59:59.000Z

    We study the effect of galaxy shape measurement errors on predicted cosmological constraints from the statistics of shear peak counts with the Large Synoptic Survey Telescope (LSST). We use the LSST Image Simulator in combination with cosmological N-body simulations to model realistic shear maps for different cosmological models. We include both galaxy shape noise and, for the first time, measurement errors on galaxy shapes. We find that the measurement errors considered have relatively little impact on the constraining power of shear peak counts for LSST.

  7. Evaluating and Minimizing Distributed Cavity Phase Errors in Atomic Clocks

    E-Print Network [OSTI]

    Li, Ruoxin

    2010-01-01T23:59:59.000Z

    We perform 3D finite element calculations of the fields in microwave cavities and analyze the distributed cavity phase errors of atomic clocks that they produce. The fields of cylindrical cavities are treated as an azimuthal Fourier series. Each of the lowest components produces clock errors with unique characteristics that must be assessed to establish a clock's accuracy. We describe the errors and how to evaluate them. We prove that sharp structures in the cavity do not produce large frequency errors, even at moderately high powers, provided the atomic density varies slowly. We model the amplitude and phase imbalances of the feeds. For larger couplings, these can lead to increased phase errors. We show that phase imbalances produce a novel distributed cavity phase error that depends on the cavity detuning. We also design improved cavities by optimizing the geometry and tuning the mode spectrum so that there are negligible phase variations, allowing this source of systematic error to be dramatically reduced.

  8. Evaluating and Minimizing Distributed Cavity Phase Errors in Atomic Clocks

    E-Print Network [OSTI]

    Ruoxin Li; Kurt Gibble

    2010-08-09T23:59:59.000Z

    We perform 3D finite element calculations of the fields in microwave cavities and analyze the distributed cavity phase errors of atomic clocks that they produce. The fields of cylindrical cavities are treated as an azimuthal Fourier series. Each of the lowest components produces clock errors with unique characteristics that must be assessed to establish a clock's accuracy. We describe the errors and how to evaluate them. We prove that sharp structures in the cavity do not produce large frequency errors, even at moderately high powers, provided the atomic density varies slowly. We model the amplitude and phase imbalances of the feeds. For larger couplings, these can lead to increased phase errors. We show that phase imbalances produce a novel distributed cavity phase error that depends on the cavity detuning. We also design improved cavities by optimizing the geometry and tuning the mode spectrum so that there are negligible phase variations, allowing this source of systematic error to be dramatically reduced.

  9. In Search of a Taxonomy for Classifying Qualitative Spreadsheet Errors

    E-Print Network [OSTI]

    Przasnyski, Zbigniew; Seal, Kala Chand

    2011-01-01T23:59:59.000Z

    Most organizations use large and complex spreadsheets that are embedded in their mission-critical processes and are used for decision-making purposes. Identification of the various types of errors that can be present in these spreadsheets is, therefore, an important control that organizations can use to govern their spreadsheets. In this paper, we propose a taxonomy for categorizing qualitative errors in spreadsheet models that offers a framework for evaluating the readiness of a spreadsheet model before it is released for use by others in the organization. The classification was developed based on types of qualitative errors identified in the literature and errors committed by end-users in developing a spreadsheet model for Panko's (1996) "Wall problem". Closer inspection of the errors reveals four logical groupings of the errors creating four categories of qualitative errors. The usability and limitations of the proposed taxonomy and areas for future extension are discussed.

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

    SciTech Connect (OSTI)

    Beckerman, M.; Jones, J.P.

    1999-02-01T23:59:59.000Z

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

  11. E791 DATA ACQUISITION SYSTEM Error reports received ; no new errors reported

    E-Print Network [OSTI]

    Fermi National Accelerator Laboratory

    of events written to tape. 18 #12; Error and Status Displays Mailbox For Histogram Requests Vax­online Event Display VAX 11 / 780 Event Reconstruction Event Display Detector Monitoring 3 VAX Workstations 42 EXABYTE of the entire E791 DA system. The VAX 11/780 was the user interface to the VME part of the system, via the DA

  12. Tracking Grantee Portal Standards and Recommendations Standards and Recommendations Table

    E-Print Network [OSTI]

    Tracking Grantee Portal Standards and Recommendations April 2009 Standards and Recommendations Table Tracking Network Standards Provide both public and secure grantee portals. Provide a link on a grantee's portal. Organize contents of pages to facilitate the identification of detailed information

  13. Department of Energy Standards Index

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    This TSL, intended for use in selecting and using DOE technical standards and other Government and non-Government standards, provides listing of current and inactive DOE technical standards, non-Government standards adopted by DOE, other Government documents in which DOE has a recorded interest, and cancelled DOE technical standards.

  14. Graphical Quantum Error-Correcting Codes

    E-Print Network [OSTI]

    Sixia Yu; Qing Chen; C. H. Oh

    2007-09-12T23:59:59.000Z

    We introduce a purely graph-theoretical object, namely the coding clique, to construct quantum errorcorrecting codes. Almost all quantum codes constructed so far are stabilizer (additive) codes and the construction of nonadditive codes, which are potentially more efficient, is not as well understood as that of stabilizer codes. Our graphical approach provides a unified and classical way to construct both stabilizer and nonadditive codes. In particular we have explicitly constructed the optimal ((10,24,3)) code and a family of 1-error detecting nonadditive codes with the highest encoding rate so far. In the case of stabilizer codes a thorough search becomes tangible and we have classified all the extremal stabilizer codes up to 8 qubits.

  15. Pressure Change Measurement Leak Testing Errors

    SciTech Connect (OSTI)

    Pryor, Jeff M [ORNL] [ORNL; Walker, William C [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    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.

  16. DOE technical standards list: Department of Energy standards index

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

    This technical standards list (TSL) was prepared for use by personnel involved in the selection and use of US DOE technical standards and other government and non-government standards. This TSL provides listings of current DOE technical standards, non-government standards that have been adopted by DOE, other government documents in which DOE has a recorded interest, and cancelled DOE technical standards. Standards are indexed by type in the appendices to this document. Definitions of and general guidance for the use of standards are also provided.

  17. Standard Nine: Financial Resources

    E-Print Network [OSTI]

    Snider, Barry B.

    105 Standard Nine: Financial Resources Overview The 1996 NEASC team report was critical of Brandeis's financial management, and focused on the need to increase financial resources, improve faculty and staff displays the University resource profile for FY1995 compared to the FY2005 profile. During this decade

  18. Derived Concentration Technical Standard

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

    2011-05-05T23:59:59.000Z

    This standard supports the implementation of Department of Energy (DOE) Order 458.1, Radiation Protection of the Public and the Environment. It also establishes the numerical values of DCSs in a manner reflecting the current state of knowledge and practice in radiation protection

  19. FACILITIES INSTRUCTIONS, STANDARDS, & TECHNIQUES

    E-Print Network [OSTI]

    Laughlin, Robert B.

    to the repair of hydraulic turbine runners and large pump impellers. Reclamation operates and maintains a wideFACILITIES INSTRUCTIONS, STANDARDS, & TECHNIQUES VOLUME 2-5 TURBINE REPAIR Internet Version variety of reaction and impulse turbines as well as axial flow, mixed flow, radial flow pumps and pump

  20. Energy Efficiency Standards for Appliances

    Broader source: Energy.gov [DOE]

    '' Note: The federal government has imposed and updated appliance efficiency standards through several legislative acts,* and now has standards in place or under development for 30 classes of...

  1. Appliance and Equipment Efficiency Standards

    Broader source: Energy.gov [DOE]

    '' Note: The federal government has imposed and updated appliance efficiency standards through several legislative acts,* and now has standards in place or under development for 30 classes of...

  2. Active Technical Standards Managers List

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

    TECHNICAL STANDARDS PROGRAM ASSIGNMENT TELEPHONEFAXEMAIL NAME DOE FACILITYADDRESS LOC CODE AU-30 Jeff D. Feit DOE Technical Standards Program, Manager U.S. Department of Energy...

  3. Water Quality Standards Implementation (Oklahoma)

    Broader source: Energy.gov [DOE]

    The Oklahoma Department of Environmental Quality regulates Oklahoma's Water Quality Standards. The law states the requirements and standards for point source discharges. It also establishes...

  4. Status and Value of International Standards for Nuclear Criticality Safety

    SciTech Connect (OSTI)

    Hopper, Calvin Mitchell [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    This presentation provides an update to the author's standards report provided at the ICNC-2007 meeting. It includes a discussion about the difference between, and the value of participating in, the development of international 'consensus' standards as opposed to nonconsensus standards. Standards are developed for a myriad of reasons. Generally, standards represent an agreed upon, repeatable way of doing something as defined by an individual or group of people. They come in various types. Examples include personal, family, business, industrial, commercial, and regulatory such as military, community, state, federal, and international standards. Typically, national and international 'consensus' standards are developed by individuals and organizations of diverse backgrounds representing the subject matter users and developers of a service or product and other interested parties or organizations. Within the International Organization for Standardization (ISO), Technical Committee 85 (TC85) on nuclear energy, Subcommittee 5 (SC5) on nuclear fuel technology, there is a Working Group 8 (WG8) on standardization of calculations, procedures, and practices related to criticality safety. WG8 has developed, and is developing, ISO standards within the category of nuclear criticality safety of fissionable materials outside of reactors (i.e., nonreactor fissionable material nuclear fuel cycle facilities). Since the presentation of the ICNC-2007 report, WG8 has issued three new finalized international standards and is developing two more new standards. Nearly all elements of the published WG8 ISO standards have been incorporated into IAEA nonconsensus guides and standards. The progression of consensus standards development among international partners in a collegial environment establishes a synergy of different concepts that broadens the perspectives of the members. This breadth of perspectives benefits the working group members in their considerations of consensus standards developments in their own countries. A testament to the value of the international standards efforts is that nearly all elements of the published WG8 ISO standards have been incorporated into IAEA nonconsensus guides and standards and are mainly consistent with international ISO member domestic standards.

  5. A two reservoir model of quantum error correction

    E-Print Network [OSTI]

    James P. Clemens; Julio Gea-Banacloche

    2005-08-22T23:59:59.000Z

    We consider a two reservoir model of quantum error correction with a hot bath causing errors in the qubits and a cold bath cooling the ancilla qubits to a fiducial state. We consider error correction protocols both with and without measurement of the ancilla state. The error correction acts as a kind of refrigeration process to maintain the data qubits in a low entropy state by periodically moving the entropy to the ancilla qubits and then to the cold reservoir. We quantify the performance of the error correction as a function of the reservoir temperatures and cooling rate by means of the fidelity and the residual entropy of the data qubits. We also make a comparison with the continuous quantum error correction model of Sarovar and Milburn [Phys. Rev. A 72 012306].

  6. Wrinkles in the rare biosphere: Pyrosequencing errors can lead to artificial inflation of diversity estimates

    SciTech Connect (OSTI)

    Kunin, Victor; Engelbrektson, Anna; Ochman, Howard; Hugenholtz, Philip

    2009-08-01T23:59:59.000Z

    Massively parallel pyrosequencing of the small subunit (16S) ribosomal RNA gene has revealed that the extent of rare microbial populations in several environments, the 'rare biosphere', is orders of magnitude higher than previously thought. One important caveat with this method is that sequencing error could artificially inflate diversity estimates. Although the per-base error of 16S rDNA amplicon pyrosequencing has been shown to be as good as or lower than Sanger sequencing, no direct assessments of pyrosequencing errors on diversity estimates have been reported. Using only Escherichia coli MG1655 as a reference template, we find that 16S rDNA diversity is grossly overestimated unless relatively stringent read quality filtering and low clustering thresholds are applied. In particular, the common practice of removing reads with unresolved bases and anomalous read lengths is insufficient to ensure accurate estimates of microbial diversity. Furthermore, common and reproducible homopolymer length errors can result in relatively abundant spurious phylotypes further confounding data interpretation. We suggest that stringent quality-based trimming of 16S pyrotags and clustering thresholds no greater than 97% identity should be used to avoid overestimates of the rare biosphere.

  7. UCIT Data Network Standards Campus Wireless Network Standard

    E-Print Network [OSTI]

    Habib, Ayman

    UCIT Data Network Standards Campus Wireless Network Standard Classification IT Infrastructure Table.1. Standardization of the U of C's 802.11 wireless networks and frequency bands is required to insure availability of the wireless network to the campus community. Standards of use will improve the wireless service and help

  8. Error Detection, Factorization and Correction for Multi-View Scene Reconstruction from Aerial Imagery

    SciTech Connect (OSTI)

    Hess-Flores, M

    2011-11-10T23:59:59.000Z

    Scene reconstruction from video sequences has become a prominent computer vision research area in recent years, due to its large number of applications in fields such as security, robotics and virtual reality. Despite recent progress in this field, there are still a number of issues that manifest as incomplete, incorrect or computationally-expensive reconstructions. The engine behind achieving reconstruction is the matching of features between images, where common conditions such as occlusions, lighting changes and texture-less regions can all affect matching accuracy. Subsequent processes that rely on matching accuracy, such as camera parameter estimation, structure computation and non-linear parameter optimization, are also vulnerable to additional sources of error, such as degeneracies and mathematical instability. Detection and correction of errors, along with robustness in parameter solvers, are a must in order to achieve a very accurate final scene reconstruction. However, error detection is in general difficult due to the lack of ground-truth information about the given scene, such as the absolute position of scene points or GPS/IMU coordinates for the camera(s) viewing the scene. In this dissertation, methods are presented for the detection, factorization and correction of error sources present in all stages of a scene reconstruction pipeline from video, in the absence of ground-truth knowledge. Two main applications are discussed. The first set of algorithms derive total structural error measurements after an initial scene structure computation and factorize errors into those related to the underlying feature matching process and those related to camera parameter estimation. A brute-force local correction of inaccurate feature matches is presented, as well as an improved conditioning scheme for non-linear parameter optimization which applies weights on input parameters in proportion to estimated camera parameter errors. Another application is in reconstruction pre-processing, where an algorithm detects and discards frames that would lead to inaccurate feature matching, camera pose estimation degeneracies or mathematical instability in structure computation based on a residual error comparison between two different match motion models. The presented algorithms were designed for aerial video but have been proven to work across different scene types and camera motions, and for both real and synthetic scenes.

  9. Incorporating Experience Curves in Appliance Standards Analysis

    SciTech Connect (OSTI)

    Garbesi, Karina; Chan, Peter; Greenblatt, Jeffery; Kantner, Colleen; Lekov, Alex; Meyers, Stephen; Rosenquist, Gregory; Buskirk, Robert Van; Yang, Hung-Chia; Desroches, Louis-Benoit

    2011-10-31T23:59:59.000Z

    The technical analyses in support of U.S. energy conservation standards for residential appliances and commercial equipment have typically assumed that manufacturing costs and retail prices remain constant during the projected 30-year analysis period. There is, however, considerable evidence that this assumption does not reflect real market prices. Costs and prices generally fall in relation to cumulative production, a phenomenon known as experience and modeled by a fairly robust empirical experience curve. Using price data from the Bureau of Labor Statistics, and shipment data obtained as part of the standards analysis process, we present U.S. experience curves for room air conditioners, clothes dryers, central air conditioners, furnaces, and refrigerators and freezers. These allow us to develop more representative appliance price projections than the assumption-based approach of constant prices. These experience curves were incorporated into recent energy conservation standards for these products. The impact on the national modeling can be significant, often increasing the net present value of potential standard levels in the analysis. In some cases a previously cost-negative potential standard level demonstrates a benefit when incorporating experience. These results imply that past energy conservation standards analyses may have undervalued the economic benefits of potential standard levels.

  10. Trial application of a technique for human error analysis (ATHEANA)

    SciTech Connect (OSTI)

    Bley, D.C. [Buttonwood Consulting, Inc., Oakton, VA (United States); Cooper, S.E. [Science Applications International Corp., Reston, VA (United States); Parry, G.W. [NUS, Gaithersburg, MD (United States)] [and others

    1996-10-01T23:59:59.000Z

    The new method for HRA, ATHEANA, has been developed based on a study of the operating history of serious accidents and an understanding of the reasons why people make errors. Previous publications associated with the project have dealt with the theoretical framework under which errors occur and the retrospective analysis of operational events. This is the first attempt to use ATHEANA in a prospective way, to select and evaluate human errors within the PSA context.

  11. Temperature-dependent errors in nuclear lattice simulations

    E-Print Network [OSTI]

    Dean Lee; Richard Thomson

    2007-01-17T23:59:59.000Z

    We study the temperature dependence of discretization errors in nuclear lattice simulations. We find that for systems with strong attractive interactions the predominant error arises from the breaking of Galilean invariance. We propose a local "well-tempered" lattice action which eliminates much of this error. The well-tempered action can be readily implemented in lattice simulations for nuclear systems as well as cold atomic Fermi systems.

  12. Error estimates for the Euler discretization of an optimal control ...

    E-Print Network [OSTI]

    Joseph Frédéric Bonnans

    2014-12-10T23:59:59.000Z

    Dec 10, 2014 ... Abstract: We study the error introduced in the solution of an optimal control problem with first order state constraints, for which the trajectories ...

  13. Optimized Learning with Bounded Error for Feedforward Neural Networks

    E-Print Network [OSTI]

    Maggiore, Manfredi

    Optimized Learning with Bounded Error for Feedforward Neural Networks A. Alessandri, M. Sanguineti-based learnings. A. Alessandri is with the Naval Automatio

  14. New Fractional Error Bounds for Polynomial Systems with ...

    E-Print Network [OSTI]

    2014-07-27T23:59:59.000Z

    Our major result extends the existing error bounds from the system involving only a ... linear complementarity systems with polynomial data as well as high-order ...

  15. Identification of toroidal field errors in a modified betatron accelerator

    SciTech Connect (OSTI)

    Loschialpo, P. (Beam Physics Branch, Plasma Physics Division, Naval Research Laboratory, Washington, DC 20375 (United States)); Marsh, S.J. (SFA Inc., Landover, Maryland 20785 (United States)); Len, L.K.; Smith, T. (FM Technologies Inc., 10529-B Braddock Road, Fairfax, Virginia 22032 (United States)); Kapetanakos, C.A. (Beam Physics Branch, Plasma Physics Division, Naval Research Laboratory, Washington, DC 20375 (United States))

    1993-06-01T23:59:59.000Z

    A newly developed probe, having a 0.05% resolution, has been used to detect errors in the toroidal magnetic field of the NRL modified betatron accelerator. Measurements indicate that the radial field components (errors) are 0.1%--1% of the applied toroidal field. Such errors, in the typically 5 kG toroidal field, can excite resonances which drive the beam to the wall. Two sources of detected field errors are discussed. The first is due to the discrete nature of the 12 single turn coils which generate the toroidal field. Both measurements and computer calculations indicate that its amplitude varies from 0% to 0.2% as a function of radius. Displacement of the outer leg of one of the toroidal field coils by a few millimeters has a significant effect on the amplitude of this field error. Because of uniform toroidal periodicity of these coils this error is a good suspect for causing the excitation of the damaging [ital l]=12 resonance seen in our experiments. The other source of field error is due to the current feed gaps in the vertical magnetic field coils. A magnetic field is induced inside the vertical field coils' conductor in the opposite direction of the applied toroidal field. Fringe fields at the gaps lead to additional field errors which have been measured as large as 1.0%. This source of field error, which exists at five toroidal locations around the modified betatron, can excite several integer resonances, including the [ital l]=12 mode.

  16. Standardized radiological dose evaluations

    SciTech Connect (OSTI)

    Peterson, V.L.; Stahlnecker, E.

    1996-05-01T23:59:59.000Z

    Following the end of the Cold War, the mission of Rocky Flats Environmental Technology Site changed from production of nuclear weapons to cleanup. Authorization baseis documents for the facilities, primarily the Final Safety Analysis Reports, are being replaced with new ones in which accident scenarios are sorted into coarse bins of consequence and frequency, similar to the approach of DOE-STD-3011-94. Because this binning does not require high precision, a standardized approach for radiological dose evaluations is taken for all the facilities at the site. This is done through a standard calculation ``template`` for use by all safety analysts preparing the new documents. This report describes this template and its use.

  17. Homological Error Correction: Classical and Quantum Codes

    E-Print Network [OSTI]

    H. Bombin; M. A. Martin-Delgado

    2006-05-10T23:59:59.000Z

    We prove several theorems characterizing the existence of homological error correction codes both classically and quantumly. Not every classical code is homological, but we find a family of classical homological codes saturating the Hamming bound. In the quantum case, we show that for non-orientable surfaces it is impossible to construct homological codes based on qudits of dimension $D>2$, while for orientable surfaces with boundaries it is possible to construct them for arbitrary dimension $D$. We give a method to obtain planar homological codes based on the construction of quantum codes on compact surfaces without boundaries. We show how the original Shor's 9-qubit code can be visualized as a homological quantum code. We study the problem of constructing quantum codes with optimal encoding rate. In the particular case of toric codes we construct an optimal family and give an explicit proof of its optimality. For homological quantum codes on surfaces of arbitrary genus we also construct a family of codes asymptotically attaining the maximum possible encoding rate. We provide the tools of homology group theory for graphs embedded on surfaces in a self-contained manner.

  18. A technique for human error analysis (ATHEANA)

    SciTech Connect (OSTI)

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

    1996-05-01T23:59:59.000Z

    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.

  19. Standard costs for labor

    E-Print Network [OSTI]

    Khan, Mohammed Nurul Absar

    1960-01-01T23:59:59.000Z

    STANDARD COSTS FOR LABOR A Thesis By MD. NURUL ABSAR KHAN Submitted to the Graduate School of the Agricultural and Mechanical College of Texms in partial fulfillment of the requirements for the degree of MASTER OF BUSINESS ADMINISTRATION... January 1960 Ma/or Sub)acts Accounting STANOAHD COSTS FOR LABOR ND, NURUL ABSAR KHAN Approved as t style and content bys Chairman of Committee Head of Hepartment January 1960 The author acknowledges his indebtedness to Mr. T. M. Leland, Mr. T. D...

  20. Standard interface file handbook

    SciTech Connect (OSTI)

    Shapiro, A.; Huria, H.C. (Cincinnati Univ., OH (United States))

    1992-10-01T23:59:59.000Z

    This handbook documents many of the standard interface file formats that have been adopted by the US Department of Energy to facilitate communications between and portability of, various large reactor physics and radiation transport software packages. The emphasis is on those files needed for use of the VENTURE/PC diffusion-depletion code system. File structures, contents and some practical advice on use of the various files are provided.

  1. Gross error detection in process data

    E-Print Network [OSTI]

    Singh, Gurmeet

    1992-01-01T23:59:59.000Z

    sufficient condition that the mixture is unimodal for all p is that 27 (7r rrs (Pl J2) & 4( z s) (III. 3) Fig. l and Fig. 2 illustrate some examples of a two component normal mixture distribution and clearly indicate the variety of shapes possible... standard deviation, s. If the distribution sample is N(p, cr), then 18 has the well known t-distribution with n-1 degrees of freedom, where n is the number of observations in the sample. On the basis of this fact, one can set up a test of hypothesis p...

  2. NIST Standards in Trade Workshops Increase

    E-Print Network [OSTI]

    codes to renewable energy and lighting, and much more. SIT workshops are designed to introduce U Available to Government Agencies NIST offers interactive workshops for federal, state, and local government agencies on the fundamentals of standards, conformity assessment, and related topics. Each workshop

  3. TOWARDS INTERNATIONAL STANDARDS FOR LANGUAGE

    E-Print Network [OSTI]

    Boyer, Edmond

    ) developed by the International Standards Organization TC32 SC4, which is to serve as a basis for harmonizingChapter # TOWARDS INTERNATIONAL STANDARDS FOR LANGUAGE RESOURCES Nancy Ide and Laurent Romary-284" #12;2 Chapter # Language Engineering Standards (EAGLES) and the International Standard for Language

  4. 1997 DOE technical standards program workshop: Proceedings

    SciTech Connect (OSTI)

    NONE

    1997-10-01T23:59:59.000Z

    The Department of Energy held its annual Technical Standards Program Workshop on July 8--10, 1997, at the Loews L`Enfant Plaza Hotel in Washington, DC. The workshop focused on aspects of implementation of the National Technology Transfer and Advancement Act of 1995 [Public Law (PL) 104-113] and the related revision (still pending) to OMB Circular A119 (OMB A119), Federal Participation in the Development and Use of Voluntary Standards. It also addressed DOE`s efforts in transitioning to a standards-based operating culture, and, through this transition, to change from a developer of internal technical standards to a customer of external technical standards. The workshop was designed to provide a forum to better understand how the new law is affecting Department activities. Panel topics such as ``Public Law 104-113 and Its Influence on Federal Agency Standards Activities`` and ``Update on Global Standards Issues`` provided insight on both the internal and external effects of the new law. Keynote speaker Richard Meier of Meadowbrook International (and formerly the Deputy Assistant US Trade Representative) addressed the subject of international trade balance statistics. He pointed out that increases in US export figures do not necessarily indicate increases in employment. Rather, increased employment results from product growth. Mr Meier also discussed issues such as the US migration to the sue of the metric system, the impact of budget limitations on Government participation in voluntary standards organizations, international standards ISO 9000 and ISO 14000, and DOE`s role in the worldwide transition from weapons production to cleanup.

  5. Interaction of EMS related systems by using the CIM standard

    E-Print Network [OSTI]

    Appelrath, Hans-Jürgen

    was a SCADA (Supervisory Control and Data Acquisition) system based on special electrical computers in implementing SCADA functions and even developed several application functions. From the beginning of the 1990s of using CIM, we take a look at four different systems normally used within the company. The SCADA is used

  6. Removing Barriers to Innovations: Related Codes and Standards CSI Team

    Broader source: Energy.gov [DOE]

    This presentation was delivered at the U.S. Department of Energy Building America Technical Update meeting on April 29-30, 2013, in Denver, Colorado.

  7. Beyond the Standard Model

    SciTech Connect (OSTI)

    Lykken, Joseph D.; /Fermilab

    2010-05-01T23:59:59.000Z

    'BSM physics' is a phrase used in several ways. It can refer to physical phenomena established experimentally but not accommodated by the Standard Model, in particular dark matter and neutrino oscillations (technically also anything that has to do with gravity, since gravity is not part of the Standard Model). 'Beyond the Standard Model' can also refer to possible deeper explanations of phenomena that are accommodated by the Standard Model but only with ad hoc parameterizations, such as Yukawa couplings and the strong CP angle. More generally, BSM can be taken to refer to any possible extension of the Standard Model, whether or not the extension solves any particular set of puzzles left unresolved in the SM. In this general sense one sees reference to the BSM 'theory space' of all possible SM extensions, this being a parameter space of coupling constants for new interactions, new charges or other quantum numbers, and parameters describing possible new degrees of freedom or new symmetries. Despite decades of model-building it seems unlikely that we have mapped out most of, or even the most interesting parts of, this theory space. Indeed we do not even know what is the dimensionality of this parameter space, or what fraction of it is already ruled out by experiment. Since Nature is only implementing at most one point in this BSM theory space (at least in our neighborhood of space and time), it might seem an impossible task to map back from a finite number of experimental discoveries and measurements to a unique BSM explanation. Fortunately for theorists the inevitable limitations of experiments themselves, in terms of resolutions, rates, and energy scales, means that in practice there are only a finite number of BSM model 'equivalence classes' competing at any given time to explain any given set of results. BSM phenomenology is a two-way street: not only do experimental results test or constrain BSM models, they also suggest - to those who get close enough to listen - new directions for BSM model building. Contrary to popular shorthand jargon, supersymmetry (SUSY) is not a BSM model: it is a symmetry principle characterizing a BSM framework with an infinite number of models. Indeed we do not even know the full dimensionality of the SUSY parameter space, since this presumably includes as-yet-unexplored SUSY-breaking mechanisms and combinations of SUSY with other BSM principles. The SUSY framework plays an important role in BSM physics partly because it includes examples of models that are 'complete' in the same sense as the Standard Model, i.e. in principle the model predicts consequences for any observable, from cosmology to b physics to precision electroweak data to LHC collisions. Complete models, in addition to being more explanatory and making connections between diverse phenomena, are also much more experimentally constrained than strawman scenarios that focus more narrowly. One sometimes hears: 'Anything that is discovered at the LHC will be called supersymmetry.' There is truth behind this joke in the sense that the SUSY framework incorporates a vast number of possible signatures accessible to TeV colliders. This is not to say that the SUSY framework is not testable, but we are warned that one should pay attention to other promising frameworks, and should be prepared to make experimental distinctions between them. Since there is no formal classification of BSM frameworks I have invented my own. At the highest level there are six parent frameworks: (1) Terascale supersymmetry; (2) PNGB Higgs; (3) New strong dynamics; (4) Warped extra dimensions; (5) Flat extra dimensions; and (6) Hidden valleys. Here is the briefest possible survey of each framework, with the basic idea, the generic new phenomena, and the energy regime over which the framework purports to make comprehensive predictions.

  8. ERROR VISUALIZATION FOR TANDEM ACOUSTIC MODELING ON THE AURORA TASK

    E-Print Network [OSTI]

    Ellis, Dan

    ERROR VISUALIZATION FOR TANDEM ACOUSTIC MODELING ON THE AURORA TASK Manuel J. Reyes. This structure reduces the error rate on the Aurora 2 noisy English digits task by more than 50% compared development of tandem systems showed an improvement in the performance on the Aurora task [2] of these systems

  9. Calibration and Error in Placental Molecular Clocks: A Conservative

    E-Print Network [OSTI]

    Hadly, Elizabeth

    Calibration and Error in Placental Molecular Clocks: A Conservative Approach Using for calibrating both mitogenomic and nucleogenomic placental timescales. We applied these reestimates to the most calibration error may inflate the power of the molecular clock when testing the time of ordinal

  10. Error Control of Iterative Linear Solvers for Integrated Groundwater Models

    E-Print Network [OSTI]

    Bai, Zhaojun

    gradient method or Generalized Minimum RESidual (GMRES) method, is how to choose the residual tolerance for integrated groundwater models, which are implicitly coupled to another model, such as surface water models the correspondence between the residual error in the preconditioned linear system and the solution error. Using

  11. PROPAGATION OF ERRORS IN SPATIAL ANALYSIS Peter P. Siska

    E-Print Network [OSTI]

    Hung, I-Kuai

    , the conversion of data from analog to digital form used to be an extremely time-consuming process. At present process then the resulting error is inflated up to 20 percent for each grid cell of the final map. The magnitude of errors naturally increases with an addition of every new layer entering the overlay process

  12. Error detection through consistency checking Peng Gong* Lan Mu#

    E-Print Network [OSTI]

    Silver, Whendee

    Error detection through consistency checking Peng Gong* Lan Mu# *Center for Assessment & Monitoring Hall, University of California, Berkeley, Berkeley, CA 94720-3110 gong@nature.berkeley.edu mulan, accessibility, and timeliness as recorded in the lineage data (Chen and Gong, 1998). Spatial error refers

  13. Uniform and optimal error estimates of an exponential wave ...

    E-Print Network [OSTI]

    2014-05-01T23:59:59.000Z

    of the error propagation, cut-off of the nonlinearity, and the energy method. ...... gives Lemma 3.4 for the local truncation error, which is of spectral order in ... estimates, we adopt a strategy similar to the finite difference method [4] (cf. diagram.

  14. Quasi-sparse eigenvector diagonalization and stochastic error correction

    E-Print Network [OSTI]

    Dean Lee

    2000-08-30T23:59:59.000Z

    We briefly review the diagonalization of quantum Hamiltonians using the quasi-sparse eigenvector (QSE) method. We also introduce the technique of stochastic error correction, which systematically removes the truncation error of the QSE result by stochastically sampling the contribution of the remaining basis states.

  15. Mining API Error-Handling Specifications from Source Code

    E-Print Network [OSTI]

    Xie, Tao

    Mining API Error-Handling Specifications from Source Code Mithun Acharya and Tao Xie Department it difficult to mine error-handling specifications through manual inspection of source code. In this paper, we, without any user in- put. In our framework, we adapt a trace generation technique to distinguish

  16. Entanglement and Quantum Error Correction with Superconducting Qubits

    E-Print Network [OSTI]

    Entanglement and Quantum Error Correction with Superconducting Qubits A Dissertation Presented David Reed All rights reserved. #12;Entanglement and Quantum Error Correction with Superconducting is to use superconducting quantum bits in the circuit quantum electro- dynamics (cQED) architecture. There

  17. ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error

    E-Print Network [OSTI]

    Richardson, David

    may not even exist. For this reason we investigate error detection and recovery (EDR) strategies. We may not even exist. For this reason we investigate error detection and recovery (EDR ) strategies. We and implementational questions remain. The second contribution is a formal, geometric approach to EDR. While EDR

  18. Upper bounds on the error probabilities and asymptotic error exponents in quantum multiple state discrimination

    SciTech Connect (OSTI)

    Audenaert, Koenraad M. R., E-mail: koenraad.audenaert@rhul.ac.uk [Department of Mathematics, Royal Holloway University of London, Egham TW20 0EX (United Kingdom); Department of Physics and Astronomy, University of Ghent, S9, Krijgslaan 281, B-9000 Ghent (Belgium); Mosonyi, Milán, E-mail: milan.mosonyi@gmail.com [Física Teòrica: Informació i Fenomens Quàntics, Universitat Autònoma de Barcelona, ES-08193 Bellaterra, Barcelona (Spain); Mathematical Institute, Budapest University of Technology and Economics, Egry József u 1., Budapest 1111 (Hungary)

    2014-10-15T23:59:59.000Z

    We consider the multiple hypothesis testing problem for symmetric quantum state discrimination between r given states ?{sub 1}, …, ?{sub r}. By splitting up the overall test into multiple binary tests in various ways we obtain a number of upper bounds on the optimal error probability in terms of the binary error probabilities. These upper bounds allow us to deduce various bounds on the asymptotic error rate, for which it has been hypothesized that it is given by the multi-hypothesis quantum Chernoff bound (or Chernoff divergence) C(?{sub 1}, …, ?{sub r}), as recently introduced by Nussbaum and Szko?a in analogy with Salikhov's classical multi-hypothesis Chernoff bound. This quantity is defined as the minimum of the pairwise binary Chernoff divergences min{sub j

  19. Standards | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's NuclearSpurring Solar Installations inforStandards

  20. Mechanical Systems Qualification Standard

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 20122Technologies61-2008 June 2008 DOE STANDARD

  1. An Efficient Approach towards Mitigating Soft Errors Risks

    E-Print Network [OSTI]

    Sadi, Muhammad Sheikh; Uddin, Md Nazim; Jürjens, Jan

    2011-01-01T23:59:59.000Z

    Smaller feature size, higher clock frequency and lower power consumption are of core concerns of today's nano-technology, which has been resulted by continuous downscaling of CMOS technologies. The resultant 'device shrinking' reduces the soft error tolerance of the VLSI circuits, as very little energy is needed to change their states. Safety critical systems are very sensitive to soft errors. A bit flip due to soft error can change the value of critical variable and consequently the system control flow can completely be changed which leads to system failure. To minimize soft error risks, a novel methodology is proposed to detect and recover from soft errors considering only 'critical code blocks' and 'critical variables' rather than considering all variables and/or blocks in the whole program. The proposed method shortens space and time overhead in comparison to existing dominant approaches.

  2. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    G. Bel; C. P. Connaughton; M. Toots; M. M. Bandi

    2015-03-29T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  3. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    Bel, G; Toots, M; Bandi, M M

    2015-01-01T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  4. Standard-E hydrogen monitoring system field acceptance testprocedure

    SciTech Connect (OSTI)

    Schneider, T.C.

    1997-02-01T23:59:59.000Z

    The purpose of this document is to demonstrate that the Standard-E Hydrogen Monitoring Systems (SHMS-E) installed on the Waste Tank Farms in the Hanford 200 Areas are constructed as intended by the design.

  5. Error Propagation in Reproduction of Diploid Organisms

    E-Print Network [OSTI]

    Baake, Ellen

    equation as adapted to sequence space. Focussing on diploid generalizations of the well-established single of mutation selection balance in these papers was from the very beginning related to the discussion started to re ect molecular properties of the genetic material. In this vein, the in#12;nite allele

  6. RVS Bielefeld White Paper 1 Standards for Standards

    E-Print Network [OSTI]

    Ladkin, Peter B.

    in their work and business. Comment on Principle 1: Currently, IEC 61508 in its IEC version is prohibitively of the European and ISO/IEC standards are covered by this; however, if one wants the English originals, this does and includes all IEC standards. However, a certain amount of time and effort is required to use a standard

  7. Microfabricated ion frequency standard

    SciTech Connect (OSTI)

    Schwindt, Peter (Albuquerque, NM); Biedermann, Grant (Albuquerque, NM); Blain, Matthew G. (Albuquerque, NM); Stick, Daniel L. (Albuquerque, NM); Serkland, Darwin K. (Albuquerque, NM); Olsson, III, Roy H. (Albuquerque, NM)

    2010-12-28T23:59:59.000Z

    A microfabricated ion frequency standard (i.e. an ion clock) is disclosed with a permanently-sealed vacuum package containing a source of ytterbium (Yb) ions and an octupole ion trap. The source of Yb ions is a micro-hotplate which generates Yb atoms which are then ionized by a ultraviolet light-emitting diode or a field-emission electron source. The octupole ion trap, which confines the Yb ions, is formed from suspended electrodes on a number of stacked-up substrates. A microwave source excites a ground-state transition frequency of the Yb ions, with a frequency-doubled vertical-external-cavity laser (VECSEL) then exciting the Yb ions up to an excited state to produce fluorescent light which is used to tune the microwave source to the ground-state transition frequency, with the microwave source providing a precise frequency output for the ion clock.

  8. Non standard neutrino interactions

    E-Print Network [OSTI]

    Miranda, O G

    2015-01-01T23:59:59.000Z

    Neutrino oscillations have become well-known phenomenon; the measurements of neutrino mixing angles and mass squared differences are continuously improving. Future oscillation experiments will eventually determine the remaining unknown neutrino parameters, namely, the mass ordering, normal or inverted, and the CP-violating phase. On the other hand, the absolute mass scale of neutrinos could be probed by cosmological observations, single beta decay as well as by neutrinoless double beta decay experiments. Furthermore, the last one may shed light on the nature of neutrinos, Dirac or Majorana, by measuring the effective Majorana mass of neutrinos. However, the neutrino mass generation mechanism remains unknown. A well-motivated phenomenological approach to search for new physics, in the neutrino sector, is that of non-standard interactions. In this short review, the current constraints in this picture, as well as the perspectives from future experiments, are discussed.

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

    SciTech Connect (OSTI)

    Clark, E.L.

    1993-08-01T23:59:59.000Z

    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, calibration Mach number and Reynolds number. The error equations contain partial derivatives, denoted as sensitivity coefficients, which define the influence of free-stream Mach number, M{infinity}, on various aerodynamic ratios. To facilitate use of the error equations, sensitivity coefficients are derived and evaluated for nine fundamental aerodynamic ratios, most of which relate free-stream test conditions (pressure, temperature, density or velocity) to a reference condition. Tables of the ratios, R, absolute sensitivity coefficients, {partial_derivative}R/{partial_derivative}M{infinity}, and relative sensitivity coefficients, (M{infinity}/R) ({partial_derivative}R/{partial_derivative}M{infinity}), are provided as functions of M{infinity}.

  10. Logical Error Rate Scaling of the Toric Code

    E-Print Network [OSTI]

    Fern H. E. Watson; Sean D. Barrett

    2014-09-26T23:59:59.000Z

    To date, a great deal of attention has focused on characterizing the performance of quantum error correcting codes via their thresholds, the maximum correctable physical error rate for a given noise model and decoding strategy. Practical quantum computers will necessarily operate below these thresholds meaning that other performance indicators become important. In this work we consider the scaling of the logical error rate of the toric code and demonstrate how, in turn, this may be used to calculate a key performance indicator. We use a perfect matching decoding algorithm to find the scaling of the logical error rate and find two distinct operating regimes. The first regime admits a universal scaling analysis due to a mapping to a statistical physics model. The second regime characterizes the behavior in the limit of small physical error rate and can be understood by counting the error configurations leading to the failure of the decoder. We present a conjecture for the ranges of validity of these two regimes and use them to quantify the overhead -- the total number of physical qubits required to perform error correction.

  11. Environmental Public Health Performance Standards

    E-Print Network [OSTI]

    Environmental Public Health Performance Standards Environmental Health Program Self Agency: Total Environmental Health Program Budget: #12;Environmental Public Health Performance Standards (v. 2.0); Environmental Health Program Assessment Instrument, 1/7/2010 Page 2 Proportion

  12. Energy Standards for State Buildings

    Broader source: Energy.gov [DOE]

    The State is still required by statute to adopt planning and construction standards for state buildings that conserve energy and optimize the energy performance of new buildings. The standards mu...

  13. Field Theory and Standard Model

    E-Print Network [OSTI]

    W. Buchmüller; C. Lüdeling

    2006-09-18T23:59:59.000Z

    This is a short introduction to the Standard Model and the underlying concepts of quantum field theory.

  14. TECHNICAL STANDARDS PROGRAM TOPICAL COMMITTEES

    Broader source: Energy.gov [DOE]

    PurposeThis procedure describes how topical committees are organized and recognized under the Technical Standards Program. 

  15. Pollution error in the h-version of the finite-element method and the local quality of a-posteriori error estimators

    E-Print Network [OSTI]

    Mathur, Anuj

    1994-01-01T23:59:59.000Z

    in the L-shaped domain shown in Figs. la-ld. We applied boundary condi- 1 tions consistent with the singular solution u(r, 8) = rr sin(-) in the infinite wedge (see also Chapter II) and we assumed that we are interested only in the solution in the hol...-element solution in the subdomain. In Fig. l. la we show an adaptive finite-element mesh which was gener- ated using remeshing and linear elements, over the L-shaped domain fl. For this mesh an accuracy of 1. 09% for the relative error in the energy-norm over...

  16. The Question The Standard Construction

    E-Print Network [OSTI]

    Raghavan, Dilip

    The Question The Standard Construction The ZFC construction Bibliography Solution to a Problem Construction The ZFC construction Bibliography Outline 1 The Question 2 The Standard Construction 3 The ZFC construction Dilip Raghavan Solution to a Problem of Van Douwen #12;The Question The Standard Construction

  17. 2008 BUILDING ENERGY EFFICIENCY STANDARDS

    E-Print Network [OSTI]

    2008 BUILDING ENERGY EFFICIENCY STANDARDS C A L I F O R N I A E N E RGY CO M M I S S I O N Buildings and Appliances Office #12;Acknowledgments The Building Energy Efficiency Standards (Standards and consultants. Valerie Hall, Deputy Director of the Energy Efficiency and Renewable Division provided policy

  18. Environmental Public Health Performance Standards

    E-Print Network [OSTI]

    Environmental Public Health Performance Standards (Version 2.0) Updated May 2014 National Center for Environmental Health Division of Emergency and Environmental Health Services #12;#12;Environmental Public Health Performance Standards (Version 2.0) Updated May 2014 #12;Environmental Public Health Performance Standards

  19. Automated saturated standard cell intercomparison

    SciTech Connect (OSTI)

    Bell, B.E.; Deitesfeld, C.A. (ed.) ed.

    1987-10-05T23:59:59.000Z

    A cost effective, highly efficient, and automatic method of intercomparing standard cells has been sought after and implemented, utilizing computer control and a commercially available scanner. This system reduces intercomparison time from 4 hours to 30 minutes using the standard National Bureau of Standard (NBS) 4 x 4 design. 7 figs., 1 tab.

  20. Energy Codes and Standards: Facilities

    SciTech Connect (OSTI)

    Bartlett, Rosemarie; Halverson, Mark A.; Shankle, Diana L.

    2007-01-01T23:59:59.000Z

    Energy codes and standards play a vital role in the marketplace by setting minimum requirements for energy-efficient design and construction. They outline uniform requirements for new buildings as well as additions and renovations. This article covers basic knowledge of codes and standards; development processes of each; adoption, implementation, and enforcement of energy codes and standards; and voluntary energy efficiency programs.

  1. TOWARDS INTERNATIONAL STANDARDS FOR LANGUAGE

    E-Print Network [OSTI]

    Ide, Nancy

    ) developed by the International Standards Organization TC32 SC4, which is to serve as a basis for harmonizing. It is in this context that a committee of the International Standards Organization (ISO), TC 37/SC 4Chapter # TOWARDS INTERNATIONAL STANDARDS FOR LANGUAGE RESOURCES Nancy Ide and Laurent Romary

  2. 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.

    2012-09-01T23:59:59.000Z

    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.

  3. Universal Framework for Quantum Error-Correcting Codes

    E-Print Network [OSTI]

    Zhuo Li; Li-Juan Xing

    2009-01-04T23:59:59.000Z

    We present a universal framework for quantum error-correcting codes, i.e., the one that applies for the most general quantum error-correcting codes. This framework is established on the group algebra, an algebraic notation for the nice error bases of quantum systems. The nicest thing about this framework is that we can characterize the properties of quantum codes by the properties of the group algebra. We show how it characterizes the properties of quantum codes as well as generates some new results about quantum codes.

  4. WHAT DOES really REALLY MEAN?: EVIDENCE, STANDARDS AND PROBABILITY IN DIALOGUE

    E-Print Network [OSTI]

    Pennsylvania, University of

    WHAT DOES really REALLY MEAN?: EVIDENCE, STANDARDS AND PROBABILITY IN DIALOGUE Catherine Lai gradable beliefs in dialogue? ·How does this relate to other uses of degrees and standards? Really background. What counts as evidence depends on the contextual standard. Really Raising Standards The blue

  5. The Suppression of Energy Discretization Errors in Multigroup Transport Calculations

    SciTech Connect (OSTI)

    Larsen, Edward

    2013-06-17T23:59:59.000Z

    The Objective of this project is to develop, implement, and test new deterministric methods to solve, as efficiently as possible, multigroup neutron transport problems having an extremely large number of groups. Our approach was to (i) use the standard CMFD method to "coarsen" the space-angle grid, yielding a multigroup diffusion equation, and (ii) use a new multigrid-in-space-and-energy technique to efficiently solve the multigroup diffusion problem. The overall strategy of (i) how to coarsen the spatial and energy grids, and (ii) how to navigate through the various grids, has the goal of minimizing the overall computational effort. This approach yields not only the fine-grid solution, but also coarse-group flux-weighted cross sections that can be used for other related problems.

  6. NIST Standard Reference Database 88 NIST/TRC Ideal Gas Database

    E-Print Network [OSTI]

    Magee, Joseph W.

    #12;NIST Standard Reference Database 88 NIST/TRC Ideal Gas Database Version 2.0 Users' Guide Data of the database and to verify that the data contained therein have been selected on the basis of sound scientific that may result from errors or omissions in the database. COPYRIGHT (C) 2006 copyright by the U

  7. Servo control booster system for minimizing following error

    DOE Patents [OSTI]

    Wise, William L. (Mountain View, CA)

    1985-01-01T23:59:59.000Z

    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.

  8. A Posteriori Error Estimation for - Department of Mathematics ...

    E-Print Network [OSTI]

    Shuhao Cao supervised under Professor Zhiqiang Cai

    2013-10-31T23:59:59.000Z

    Oct 19, 2013 ... the “correct” Hilbert space the true flux µ?1?×u lies in, to recover a ...... The error heat map shows that ZZ-patch recovery estimator leads.

  9. Quantum error correcting codes based on privacy amplification

    E-Print Network [OSTI]

    Zhicheng Luo

    2008-08-10T23:59:59.000Z

    Calderbank-Shor-Steane (CSS) quantum error-correcting codes are based on pairs of classical codes which are mutually dual containing. Explicit constructions of such codes for large blocklengths and with good error correcting properties are not easy to find. In this paper we propose a construction of CSS codes which combines a classical code with a two-universal hash function. We show, using the results of Renner and Koenig, that the communication rates of such codes approach the hashing bound on tensor powers of Pauli channels in the limit of large block-length. While the bit-flip errors can be decoded as efficiently as the classical code used, the problem of efficiently decoding the phase-flip errors remains open.

  10. avoid vocal errors: Topics by E-print Network

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

    16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Error Avoiding Quantum Codes Quantum Physics (arXiv) Summary: The existence is proved of a class of open quantum...

  11. Rateless and rateless unequal error protection codes for Gaussian channels

    E-Print Network [OSTI]

    Boyle, Kevin P. (Kevin Patrick)

    2007-01-01T23:59:59.000Z

    In this thesis we examine two different rateless codes and create a rateless unequal error protection code, all for the additive white Gaussian noise (AWGN) channel. The two rateless codes are examined through both analysis ...

  12. An Approximation Algorithm for Constructing Error Detecting Prefix ...

    E-Print Network [OSTI]

    2006-09-02T23:59:59.000Z

    Sep 2, 2006 ... 2-bit Hamming prefix code problem. Our algorithm spends O(n log3 n) time to calculate a 2-bit. Hamming prefix code with an additive error of at ...

  13. Secured Pace Web Server with Collaboration and Error Logging Capabilities

    E-Print Network [OSTI]

    Tao, Lixin

    : Secure Sockets Layer (SSL) using the Java Secure Socket Extension (JSSE) API, error logging............................................................................................ 8 Chapter 3 Secure Pace Web Server with SSL........................................................... 29 3.1 Introduction to SSL

  14. Transition state theory: Variational formulation, dynamical corrections, and error estimates

    E-Print Network [OSTI]

    Van Den Eijnden, Eric

    Transition state theory: Variational formulation, dynamical corrections, and error estimates Eric, Brazil Received 18 February 2005; accepted 9 September 2005; published online 7 November 2005 Transition which aim at computing dynamical corrections to the TST transition rate constant. The theory

  15. YELLOW SEA ACOUSTIC UNCERTAINTY CAUSED BY HYDROGRAPHIC DATA ERROR

    E-Print Network [OSTI]

    Chu, Peter C.

    the littoral and blue waters. After a weapon platform has detected its targets, the sensors on torpedoes, bathymetry, bottom type, and sound speed profiles. Here, the effect of sound speed errors (i.e., hydrographic

  16. Strontium-90 Error Discovered in Subcontract Laboratory Spreadsheet

    SciTech Connect (OSTI)

    D. D. Brown A. S. Nagel

    1999-07-31T23:59:59.000Z

    West Valley Demonstration Project health physicists and environment scientists discovered a series of errors in a subcontractor's spreadsheet being used to reduce data as part of their strontium-90 analytical process.

  17. Sample covariance based estimation of Capon algorithm error probabilities

    E-Print Network [OSTI]

    Richmond, Christ D.

    The method of interval estimation (MIE) provides a strategy for mean squared error (MSE) prediction of algorithm performance at low signal-to-noise ratios (SNR) below estimation threshold where asymptotic predictions fail. ...

  18. Sensitivity of OFDM Systems to Synchronization Errors and Spatial Diversity

    E-Print Network [OSTI]

    Zhou, Yi

    2012-02-14T23:59:59.000Z

    jitter cause inter-carrier interference. The overall system performance in terms of symbol error rate is limited by the inter-carrier interference. For a reliable information reception, compensatory measures must be taken. The second part...

  19. Diagnosing multiplicative error by lensing magnification of type Ia supernovae

    E-Print Network [OSTI]

    Zhang, Pengjie

    2015-01-01T23:59:59.000Z

    Weak lensing causes spatially coherent fluctuations in flux of type Ia supernovae (SNe Ia). This lensing magnification allows for weak lensing measurement independent of cosmic shear. It is free of shape measurement errors associated with cosmic shear and can therefore be used to diagnose and calibrate multiplicative error. Although this lensing magnification is difficult to measure accurately in auto correlation, its cross correlation with cosmic shear and galaxy distribution in overlapping area can be measured to significantly higher accuracy. Therefore these cross correlations can put useful constraint on multiplicative error, and the obtained constraint is free of cosmic variance in weak lensing field. We present two methods implementing this idea and estimate their performances. We find that, with $\\sim 1$ million SNe Ia that can be achieved by the proposed D2k survey with the LSST telescope (Zhan et al. 2008), multiplicative error of $\\sim 0.5\\%$ for source galaxies at $z_s\\sim 1$ can be detected and la...

  20. Model Error Correction for Linear Methods in PET Neuroreceptor Measurements

    E-Print Network [OSTI]

    Renaut, Rosemary

    Model Error Correction for Linear Methods in PET Neuroreceptor Measurements Hongbin Guo address: hguo1@asu.edu (Hongbin Guo) Preprint submitted to NeuroImage December 11, 2008 #12;reached. A new

  1. Robust mixtures in the presence of measurement errors

    E-Print Network [OSTI]

    Jianyong Sun; Ata Kaban; Somak Raychaudhury

    2007-09-06T23:59:59.000Z

    We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is designed to infer atypical measurements that are not due to errors, aiming to retrieve potentially interesting peculiar objects. Since exact inference is not possible in this model, we develop a tree-structured variational EM solution. This compares favorably against a fully factorial approximation scheme, approaching the accuracy of a Markov-Chain-EM, while maintaining computational simplicity. We demonstrate the benefits of including measurement errors in the model, in terms of improved outlier detection rates in varying measurement uncertainty conditions. We then use this approach in detecting peculiar quasars from an astrophysical survey, given photometric measurements with errors.

  2. ARM Standards Policy Committee Report

    SciTech Connect (OSTI)

    Cialella, A; Jensen, M; Koontz, A; McFarlane, S; McCoy, R; Monroe, J; Palanisamy, G; Perez, R; Sivaraman, C

    2012-09-19T23:59:59.000Z

    Data and metadata standards promote the consistent recording of information and are necessary to ensure the stability and high quality of Atmospheric Radiation Measurement (ARM) Climate Research Facility data products for scientific users. Standards also enable automated routines to be developed to examine data, which leads to more efficient operations and assessment of data quality. Although ARM Infrastructure agrees on the utility of data and metadata standards, there is significant confusion over the existing standards and the process for allowing the release of new data products with exceptions to the standards. The ARM Standards Policy Committee was initiated in March 2012 to develop a set of policies and best practices for ARM data and metadata standards.

  3. Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error Paul E. Johnson and David G . Long

    E-Print Network [OSTI]

    Long, David G.

    Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood

  4. Error Probabilities and Threshold Selection in Networked Nuclear Detection Chetan D. Pahlajani, Jianxin Sun, Ioannis Poulakakis, Herbert G. Tanner

    E-Print Network [OSTI]

    Poulakakis, Ioannis

    of nuclear detection relates to the problem of using radiation sensor data to decide, within a given time. Specifically, it is noted that currently deployed systems for detecting the transport of illicit radioactiveError Probabilities and Threshold Selection in Networked Nuclear Detection Chetan D. Pahlajani

  5. Standards Panel: 1. Stephen Diamond, General Manager, Industry Standards Office and Global Standards Officer, EMC

    E-Print Network [OSTI]

    Standards Officer, EMC Corporation, Office of the CTO Steve Diamond has 30 years of management, marketing was President of the IEEE Computer Society. Steve is General Manager of the Industry Standards Office at EMC Corporation, and Global Standards Officer in the Office of the CTO. Before EMC, he was responsible for cloud

  6. A Taxonomy to Enable Error Recovery and Correction in Software Vilas Sridharan

    E-Print Network [OSTI]

    Kaeli, David R.

    A Taxonomy to Enable Error Recovery and Correction in Software Vilas Sridharan ECE Department years, reliability research has largely used the following taxonomy of errors: Undetected Errors Errors (CE). While this taxonomy is suitable to characterize hardware error detection and correction

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

    DOE Patents [OSTI]

    Doerry, Armin W. (Albuquerque, NM); Jordan, Jay D. (Albuquerque, NM); Kim, Theodore J. (Albuquerque, NM)

    2012-07-03T23:59:59.000Z

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

  8. Coding Techniques for Error Correction and Rewriting in Flash Memories

    E-Print Network [OSTI]

    Mohammed, Shoeb Ahmed

    2010-10-12T23:59:59.000Z

    CODING TECHNIQUES FOR ERROR CORRECTION AND REWRITING IN FLASH MEMORIES A Thesis by SHOEB AHMED MOHAMMED Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE August 2010 Major Subject: Electrical Engineering CODING TECHNIQUES FOR ERROR CORRECTION AND REWRITING IN FLASH MEMORIES A Thesis by SHOEB AHMED MOHAMMED Submitted to the Office of Graduate Studies of Texas A&M University in partial...

  9. Systematic errors in current quantum state tomography tools

    E-Print Network [OSTI]

    Christian Schwemmer; Lukas Knips; Daniel Richart; Tobias Moroder; Matthias Kleinmann; Otfried Gühne; Harald Weinfurter

    2014-07-22T23:59:59.000Z

    Common tools for obtaining physical density matrices in experimental quantum state tomography are shown here to cause systematic errors. For example, using maximum likelihood or least squares optimization for state reconstruction, we observe a systematic underestimation of the fidelity and an overestimation of entanglement. A solution for this problem can be achieved by a linear evaluation of the data yielding reliable and computational simple bounds including error bars.

  10. Is the Heisenberg uncertainty relation really violated?

    E-Print Network [OSTI]

    Masao Kitano

    2008-03-31T23:59:59.000Z

    It has been pointed out that for some types of measurement the Heisenberg uncertainty relation seems to be violated. In order to save the situation a new uncertainty relation was proposed by Ozawa. Here we introduce revised definitions of error and disturbance taking into account the gain associated with generalized measurement interactions. With these new definitions, the validity of the Heisenberg inequality is recovered for continuous linear measurement interactions. We also examine the changes in distribution functions caused by the general measurement interaction and clarify the physical meanings of infinitely large errors and disturbances.

  11. USE OF VOLUNTARY CONSENSUS STANDARDS AND INTERACTION WITH STANDARDS...

    Energy Savers [EERE]

    DEVELOPMENT ORGANIZATIONS Purpose This procedure identifies the process by which DOE adopts Voluntary Consensus Standards (VCSs) and provides guidance for the interaction...

  12. Studies and research concerning BNFP: cask handling equipment standardization

    SciTech Connect (OSTI)

    McCreery, Paul N.

    1980-10-01T23:59:59.000Z

    This report covers the activities of one of the sub-tasks within the Spent LWR Fuel Transportation Receiving, Handling, and Storage program. The sub-task is identified as Cask Handling Equipment Standardization. The objective of the sub-task specifies: investigate and identify opportunities for standardization of cask interface equipment. This study will examine the potential benefits of standardized yokes, decontamination barriers and special tools, and, to the extent feasible, standardized methods and software for handling the variety of casks presently available in the US fleet. The result of the investigations is a compilation of reports that are related by their common goal of reducing cask turnaround time.

  13. Error Monitoring: A Learning Strategy for Improving Academic Performance of LD Adolescents

    E-Print Network [OSTI]

    Schumaker, Jean B.; Deshler, Donald D.; Nolan, Susan; Clark, Frances L.; Alley, Gordon R.; Warner, Michael M.

    1981-04-01T23:59:59.000Z

    Error monitoring, a learning strategy for detecting and correcting errors in written products, was taught to nine learning disabled adolescents. Students could detect and correct more errors after they received training ...

  14. Assessing the Impact of Differential Genotyping Errors on Rare Variant Tests of Association

    E-Print Network [OSTI]

    Fast, Shannon Marie

    Genotyping errors are well-known to impact the power and type I error rate in single marker tests of association. Genotyping errors that happen according to the same process in cases and controls are known as non-differential ...

  15. web identity standards introduction .............................................................................................................87

    E-Print Network [OSTI]

    Mullins, Dyche

    web identity standards sectionten 86 contents introduction............................................................................................................... 89-90 tagline and the web .................................................................................................91 tagline and the web: improper use

  16. Emission Standards for Contaminants (Iowa)

    Broader source: Energy.gov [DOE]

    These regulations list emissions standards for various contaminants, and contain special requirements for anaerobic lagoons. These regulations also describe alternative emissions limits, which may...

  17. Surface Water Quality Standards (Nebraska)

    Broader source: Energy.gov [DOE]

    These regulations, promulgated by the Department of Environmental Quality, contain surface water quality standards, stream classifications, discussion of lakes and impounded basins, and water...

  18. The Standards Forum, June 2001

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

    technical standards then be- ing developed and used by DOE often lacked a consis- tent, high quality technical and administrative basis and were often marginally needed. Initiation...

  19. Effluent and Pretreatment Standards (Iowa)

    Broader source: Energy.gov [DOE]

    These regulations describe prohibited discharges into surface water and groundwater systems and set effluent standards for secondary treatment facilities. Effluent limitations and pretreatment...

  20. Interconnection Standards for Small Generators

    Broader source: Energy.gov [DOE]

    The Federal Energy Regulatory Commission (FERC) adopted "small generator" interconnection standards for distributed energy resources up to 20 megawatts (MW) in capacity in May 2005.* The FERC's...

  1. The Standards Forum, December 1999

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

    Guide for Specifying and Selecting Power, Control and Special Purpose Cable for Petroleum and Chemical Plants (new standard) - October 26, 1999. ANSINFPA 11A-1998,...

  2. Ambient Air Quality Standards (Iowa)

    Broader source: Energy.gov [DOE]

    These regulations set statewide ambient air quality standards for various contaminants. The state code follows the regulations set forth in the National Primary and Secondary Ambient Air Quality...

  3. International Quality Assurance Standards (Presentation)

    SciTech Connect (OSTI)

    Kurtz, S.; Hacke, P.; Wohlgemuth, J.; Kempe, M.; Yamamichi, M.

    2011-02-01T23:59:59.000Z

    Tests to make quantitative predictions about photovoltaic (PV) modules are needed. This presentation proposes the creation of international quality assurance standards for PV modules.

  4. Standard-E hydrogen monitoring system shop acceptance test procedure

    SciTech Connect (OSTI)

    Schneider, T.C.

    1997-10-02T23:59:59.000Z

    The purpose of this report is to document that the Standard-E Hydrogen Monitoring Systems (SHMS-E), fabricated by Mid-Columbia Engineering (MCE) for installation on the Waste Tank Farms in the Hanford 200 Areas, are constructed as intended by the design. The ATP performance will verify proper system fabrication.

  5. Standard and non standard ideas for the Higgs boson sector

    E-Print Network [OSTI]

    Abbondandolo, Alberto

    Standard and non standard ideas for the Higgs boson sector Riccardo Barbieri Johns Hopkins Workshop as the Higgs boson is in their low-energy spectrum We only know of approximate symmetries that can explain synoptic table Supersymmetric The SM Higgs boson TC-like Minimally extended Higgsless "Composite" 5

  6. Initial quantification of human error associated with specific instrumentation and control system components in licensed nuclear power plants

    SciTech Connect (OSTI)

    Luckas, W.J. Jr.; Lettieri, V.; Hall, R.E.

    1982-02-01T23:59:59.000Z

    This report provides a methodology for the initial quantification of specific categories of human errors made in conjunction with several instrumentation and control (I and C) system components operated, maintained, and tested in licensed nuclear power plants. The resultant human error rates (HER) provide the first real systems bases of comparison for the existing derived and/or best judgement equivalent set of such rates or probabilities. These calculated error rates also provide the first real indication of human performance as it relates directly to specific tasks in nuclear plants. This work of developing specific HERs is both an extension of and an outgrowth of the generic HERs developed for safety system pumpc and valves as reported in NUREG/CR-1880.

  7. Initial quantification of human error associated with specific instrumentation and control system components in licensed nuclear power plants

    SciTech Connect (OSTI)

    Luckas, W.J. Jr.; Lettieri, V.; Hall, R.E.

    1982-02-01T23:59:59.000Z

    This report provides a methodology for the initial quantification of specific categories of human errors made in conjunction with several instrumentation and control (I and C) system components operated, maintained, and tested in licensed nuclear power plants. The resultant human error rates (HER) provide the first real systems bases of comparison for the existing derived and/or best judgement equivalent set of such rates or probabilities. These calculated error rates also provide the first real indication of human performance as it relates directly to specific tasks in nuclear plants. This work of developing specific HERs is both an extension of and an outgrowth of the generic HERs developed for safety system pumps and valves as reported in NUREG/CR-1880.

  8. SHEAN (Simplified Human Error Analysis code) and automated THERP

    SciTech Connect (OSTI)

    Wilson, J.R.

    1993-06-01T23:59:59.000Z

    One of the most widely used human error analysis tools is THERP (Technique for Human Error Rate Prediction). Unfortunately, this tool has disadvantages. The Nuclear Regulatory Commission, realizing these drawbacks, commissioned Dr. Swain, the author of THERP, to create a simpler, more consistent tool for deriving human error rates. That effort produced the Accident Sequence Evaluation Program Human Reliability Analysis Procedure (ASEP), which is more conservative than THERP, but a valuable screening tool. ASEP involves answering simple questions about the scenario in question, and then looking up the appropriate human error rate in the indicated table (THERP also uses look-up tables, but four times as many). The advantages of ASEP are that human factors expertise is not required, and the training to use the method is minimal. Although not originally envisioned by Dr. Swain, the ASEP approach actually begs to be computerized. That WINCO did, calling the code SHEAN, for Simplified Human Error ANalysis. The code was done in TURBO Basic for IBM or IBM-compatible MS-DOS, for fast execution. WINCO is now in the process of comparing this code against THERP for various scenarios. This report provides a discussion of SHEAN.

  9. Theoretical inputs and errors in the new hadronic currents in TAUOLA

    SciTech Connect (OSTI)

    Roig, P.; Nugent, I. M.; Przedzinski, T.; Shekhovtsova, O.; Was, Z. [Grup de Fisica Teorica, Institut de Fisica d'Altes Energies, Universitat Autonoma de Barcelona, E-08193 Bellaterra, Barcelona (Spain); RWTH Aachen University, III. Physikalisches Institut B, Aachen (Germany); Faculty of Physics, Astronomy and Applied Computer Science, Jagellonian University, Reymonta 4, 30-059 Cracow, Poland and Institute of Nuclear Physics, PAN, Cracow, ul. Radzikowskiego 152 (Poland); IFIC, Universitat de Valencia-CSIC, Apt. Correus 22085, E-46071, Valencia (Spain); CERN PH-TH, CH-1211 Geneva 23, Switzerland and Institute of Nuclear Physics, PAN, Cracow, ul. Radzikowskiego 152 (Poland)

    2012-10-23T23:59:59.000Z

    The new hadronic currents implemented in the TAUOLA library are obtained in the unified and consistent framework of Resonance Chiral Theory: a Lagrangian approach in which the resonances exchanged in the hadronic tau decays are active degrees of freedom included in a way that reproduces the low-energy results of Chiral Perturbation Theory. The short-distance QCD constraints on the imaginary part of the spin-one correlators yield relations among the couplings that render the theory predictive. In this communication, the obtaining of the two- and three-meson form factors is sketched. One of the criticisms to our framework is that the error may be as large as 1/3, since it is a realization of the large-N{sub C} limit of QCD in a meson theory. A number of arguments are given which disfavor that claim pointing to smaller errors, which would explain the phenomenological success of our description in these decays. Finally, other minor sources of error and current improvements of the code are discussed.

  10. Portland State University Identity Standards

    E-Print Network [OSTI]

    Bertini, Robert L.

    Portland State University Identity Standards #12;3 Introduction 4 Key Messages 5 Identity Basics 8 for applying a consistent look, feel, voice, and tone for all Portland State University communications. Graphic identity standards enhance communication with our constituents. They distinguish Portland State from other

  11. A better renewable portfolio standard

    SciTech Connect (OSTI)

    Casten, Sean

    2009-06-15T23:59:59.000Z

    It's time to throw out our RPS, throw out our Energy Efficiency Resource Standard, throw out all our definitions of eligible technologies, and replace them all with a single, clear incentive paid to any power plant that reduces our demand for fossil resources, pro rata with the fossil energy reduction: a Fossil Energy Reduction Standard. (author)

  12. STANDARD OPERATING PROCEDURES Site Selection

    E-Print Network [OSTI]

    Fischer, Emily V.

    IMPROVE STANDARD OPERATING PROCEDURES SOP 126 Site Selection Date Last Modified Modified by: 09 References none #12;SOP 126: Site Selection 3 1.0 PURPOSE AND APPLICABILITY This standard operating procedure field conditions, and for ease of operation and maintenance. IMPROVE aerosol samplers are generally

  13. Standards for Power Electronic Components

    E-Print Network [OSTI]

    Standards for Power Electronic Components and Systems EPE 14 ECCE Europe Dr Peter R. Wilson #12;Session Outline · "Standards for Power Electronic Components and Systems" ­ Peter Wilson, IEEE PELS Electronics ­ where next? · Wide Band Gap Devices ­ SiC, GaN etc... · Transformers (ETTT) · Power Modules

  14. Influential Factors on Level of Injury in Pedestrian Crashes: Applications of Ordered Probit Model with Robust Standard Errors

    E-Print Network [OSTI]

    Jang, Kitae; Park, Shin Hyoung; Chung, Sungbong; Song, Ki Han

    2010-01-01T23:59:59.000Z

    time-series data, Accident Analysis and Prevention , 23, pp.in traffic crashes, Accident Analysis and Prevention , 39,in traffic crashes, Accident Analysis and Prevention, 40,

  15. Development of an integrated system for estimating human error probabilities

    SciTech Connect (OSTI)

    Auflick, J.L.; Hahn, H.A.; Morzinski, J.A.

    1998-12-01T23:59:59.000Z

    This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). This project had as its main objective the development of a Human Reliability Analysis (HRA), knowledge-based expert system that would provide probabilistic estimates for potential human errors within various risk assessments, safety analysis reports, and hazard assessments. HRA identifies where human errors are most likely, estimates the error rate for individual tasks, and highlights the most beneficial areas for system improvements. This project accomplished three major tasks. First, several prominent HRA techniques and associated databases were collected and translated into an electronic format. Next, the project started a knowledge engineering phase where the expertise, i.e., the procedural rules and data, were extracted from those techniques and compiled into various modules. Finally, these modules, rules, and data were combined into a nearly complete HRA expert system.

  16. Representing cognitive activities and errors in HRA trees

    SciTech Connect (OSTI)

    Gertman, D.I.

    1992-01-01T23:59:59.000Z

    A graphic representation method is presented herein for adapting an existing technology--human reliability analysis (HRA) event trees, used to support event sequence logic structures and calculations--to include a representation of the underlying cognitive activity and corresponding errors associated with human performance. The analyst is presented with three potential means of representing human activity: the NUREG/CR-1278 HRA event tree approach; the skill-, rule- and knowledge-based paradigm; and the slips, lapses, and mistakes paradigm. The above approaches for representing human activity are integrated in order to produce an enriched HRA event tree -- the cognitive event tree system (COGENT)-- which, in turn, can be used to increase the analyst's understanding of the basic behavioral mechanisms underlying human error and the representation of that error in probabilistic risk assessment. Issues pertaining to the implementation of COGENT are also discussed.

  17. Representing cognitive activities and errors in HRA trees

    SciTech Connect (OSTI)

    Gertman, D.I.

    1992-05-01T23:59:59.000Z

    A graphic representation method is presented herein for adapting an existing technology--human reliability analysis (HRA) event trees, used to support event sequence logic structures and calculations--to include a representation of the underlying cognitive activity and corresponding errors associated with human performance. The analyst is presented with three potential means of representing human activity: the NUREG/CR-1278 HRA event tree approach; the skill-, rule- and knowledge-based paradigm; and the slips, lapses, and mistakes paradigm. The above approaches for representing human activity are integrated in order to produce an enriched HRA event tree -- the cognitive event tree system (COGENT)-- which, in turn, can be used to increase the analyst`s understanding of the basic behavioral mechanisms underlying human error and the representation of that error in probabilistic risk assessment. Issues pertaining to the implementation of COGENT are also discussed.

  18. Meta learning of bounds on the Bayes classifier error

    E-Print Network [OSTI]

    Moon, Kevin R; Hero, Alfred O

    2015-01-01T23:59:59.000Z

    Meta learning uses information from base learners (e.g. classifiers or estimators) as well as information about the learning problem to improve upon the performance of a single base learner. For example, the Bayes error rate of a given feature space, if known, can be used to aid in choosing a classifier, as well as in feature selection and model selection for the base classifiers and the meta classifier. Recent work in the field of f-divergence functional estimation has led to the development of simple and rapidly converging estimators that can be used to estimate various bounds on the Bayes error. We estimate multiple bounds on the Bayes error using an estimator that applies meta learning to slowly converging plug-in estimators to obtain the parametric convergence rate. We compare the estimated bounds empirically on simulated data and then estimate the tighter bounds on features extracted from an image patch analysis of sunspot continuum and magnetogram images.

  19. Trade-off between the tolerance of located and unlocated errors in nondegenerate quantum error-correcting codes

    E-Print Network [OSTI]

    Henry L. Haselgrove; Peter P. Rohde

    2007-07-03T23:59:59.000Z

    In a recent study [Rohde et al., quant-ph/0603130 (2006)] of several quantum error correcting protocols designed for tolerance against qubit loss, it was shown that these protocols have the undesirable effect of magnifying the effects of depolarization noise. This raises the question of which general properties of quantum error-correcting codes might explain such an apparent trade-off between tolerance to located and unlocated error types. We extend the counting argument behind the well-known quantum Hamming bound to derive a bound on the weights of combinations of located and unlocated errors which are correctable by nondegenerate quantum codes. Numerical results show that the bound gives an excellent prediction to which combinations of unlocated and located errors can be corrected with high probability by certain large degenerate codes. The numerical results are explained partly by showing that the generalized bound, like the original, is closely connected to the information-theoretic quantity the quantum coherent information. However, we also show that as a measure of the exact performance of quantum codes, our generalized Hamming bound is provably far from tight.

  20. Are you getting an error message in UniFi Plus? (suggestion...check the auto-hint line!) In most cases, Unifi Plus does not prominently display error messages; instead, the error message will be

    E-Print Network [OSTI]

    Peak, Derek

    Are you getting an error message in UniFi Plus? (suggestion...check the auto-hint line!) In most cases, Unifi Plus does not prominently display error messages; instead, the error message and processing messages Keyboard shortcuts Instructions for accessing other blocks, windows or forms from

  1. Error estimates and specification parameters for functional renormalization

    SciTech Connect (OSTI)

    Schnoerr, David [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Boettcher, Igor, E-mail: I.Boettcher@thphys.uni-heidelberg.de [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Pawlowski, Jan M. [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany) [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung mbH, D-64291 Darmstadt (Germany); Wetterich, Christof [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)

    2013-07-15T23:59:59.000Z

    We present a strategy for estimating the error of truncated functional flow equations. While the basic functional renormalization group equation is exact, approximated solutions by means of truncations do not only depend on the choice of the retained information, but also on the precise definition of the truncation. Therefore, results depend on specification parameters that can be used to quantify the error of a given truncation. We demonstrate this for the BCS–BEC crossover in ultracold atoms. Within a simple truncation the precise definition of the frequency dependence of the truncated propagator affects the results, indicating a shortcoming of the choice of a frequency independent cutoff function.

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

    SciTech Connect (OSTI)

    Frank Marhauser

    2011-09-01T23:59:59.000Z

    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.

  3. Quantum error correcting codes and 4-dimensional arithmetic hyperbolic manifolds

    SciTech Connect (OSTI)

    Guth, Larry, E-mail: lguth@math.mit.edu [Department of Mathematics, MIT, Cambridge, Massachusetts 02139 (United States); Lubotzky, Alexander, E-mail: alex.lubotzky@mail.huji.ac.il [Institute of Mathematics, Hebrew University, Jerusalem 91904 (Israel)

    2014-08-15T23:59:59.000Z

    Using 4-dimensional arithmetic hyperbolic manifolds, we construct some new homological quantum error correcting codes. They are low density parity check codes with linear rate and distance n{sup ?}. Their rate is evaluated via Euler characteristic arguments and their distance using Z{sub 2}-systolic geometry. This construction answers a question of Zémor [“On Cayley graphs, surface codes, and the limits of homological coding for quantum error correction,” in Proceedings of Second International Workshop on Coding and Cryptology (IWCC), Lecture Notes in Computer Science Vol. 5557 (2009), pp. 259–273], who asked whether homological codes with such parameters could exist at all.

  4. Full protection of superconducting qubit systems from coupling errors

    E-Print Network [OSTI]

    M. J. Storcz; J. Vala; K. R. Brown; J. Kempe; F. K. Wilhelm; K. B. Whaley

    2005-08-09T23:59:59.000Z

    Solid state qubits realized in superconducting circuits are potentially extremely scalable. However, strong decoherence may be transferred to the qubits by various elements of the circuits that couple individual qubits, particularly when coupling is implemented over long distances. We propose here an encoding that provides full protection against errors originating from these coupling elements, for a chain of superconducting qubits with a nearest neighbor anisotropic XY-interaction. The encoding is also seen to provide partial protection against errors deriving from general electronic noise.

  5. Laser Phase Errors in Seeded Free Electron Lasers

    SciTech Connect (OSTI)

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

    2012-04-17T23:59:59.000Z

    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.

  6. Correctable noise of Quantum Error Correcting Codes under adaptive concatenation

    E-Print Network [OSTI]

    Jesse Fern

    2008-02-27T23:59:59.000Z

    We examine the transformation of noise under a quantum error correcting code (QECC) concatenated repeatedly with itself, by analyzing the effects of a quantum channel after each level of concatenation using recovery operators that are optimally adapted to use error syndrome information from the previous levels of the code. We use the Shannon entropy of these channels to estimate the thresholds of correctable noise for QECCs and find considerable improvements under this adaptive concatenation. Similar methods could be used to increase quantum fault tolerant thresholds.

  7. Appliance Standards and Rulemaking Federal Advisory Committee...

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

    Issuance Appliance Standards and Rulemaking Federal Advisory Committee (ASRAC) - Central Air Conditioner Regional Standards Enforcement Working Group; Notice of Open...

  8. National Green Building Standard Analysis

    SciTech Connect (OSTI)

    NAHB Research Center, Upper Marlboro, Maryland

    2012-07-01T23:59:59.000Z

    DOE's Building America Program is a research and development program to improve the energy performance of new and existing homes. The ultimate goal of the Building America Program is to achieve examples of cost-effective, energy efficient solutions for all U.S. climate zones. Periodic maintenance of an ANSI standard by review of the entire document and action to revise or reaffirm it on a schedule not to exceed five years is required by ANSI. In compliance, a consensus group has once again been formed and the National Green Building Standard is currently being reviewed to comply with the periodic maintenance requirement of an ANSI standard.

  9. Lorentz conserving noncommutative standard model

    SciTech Connect (OSTI)

    Ettefaghi, M. M.; Haghighat, M. [Department of Physics, Isfahan University of Technology, Isfahan (Iran, Islamic Republic of)

    2007-06-15T23:59:59.000Z

    We consider Lorentz-conserving noncommutative field theory to construct the Lorentz-conserving noncommutative standard model based on the gauge group SU(3)xSU(2)xU(1). We obtain the enveloping algebra-valued of Higgs field up to the second order of the noncommutativity parameter {theta}{sub {mu}}{sub {nu}}. We derive the action at the leading order and find new vertices which are absent in the ordinary standard model as well as the minimal noncommutative standard model. We briefly study the phenomenological aspects of the model.

  10. Soft Error Modeling and Protection for Sequential Elements Hossein Asadi and Mehdi B. Tahoori

    E-Print Network [OSTI]

    on system-level soft error rate. The number of clock cycles required for an error in a bistable to be propagated to system outputs is used to measure the vulnerability of bistables to soft errors. 1 Introduction, soft errors become the main reliability concern during lifetime operation of digital systems. Soft

  11. Low-Cost Hardening of Image Processing Applications Against Soft Errors Ilia Polian1,2

    E-Print Network [OSTI]

    Polian, Ilia

    , and their hardening against soft errors becomes an issue. We propose a methodology to identify soft errors as uncritical based on their impact on the system's functionality. We call a soft error uncritical if its impact are imperceivable for the human user of the system. We focus on soft errors in the motion esti- mation subsystem

  12. Distinguishing congestion and error losses: an ECN/ELN based scheme

    E-Print Network [OSTI]

    Kamakshisundaram, Raguram

    2001-01-01T23:59:59.000Z

    error rates, like wireless links, packets are lost more due to error than due to congestion. But TCP does not differentiate between error and congestion losses and hence reduces the sending rate for losses due to error also, which unnecessarily reduces...

  13. Measurement Errors in Visual Servoing V. Kyrki ,1

    E-Print Network [OSTI]

    Kragic, Danica

    feedback for closed loop control of a robot motion termed visual servoing has received a significant amount robot trajectory and its uncertainty. The procedures of camera calibration have improved enormously over on the modeling of an error function and thus has a major effect on the robot's trajectory. On the other hand

  14. Energy efficiency of error correction for wireless communication

    E-Print Network [OSTI]

    Havinga, Paul J.M.

    -control is an important issue for mobile computing systems. This includes energy spent in the physical radio transmission and Networking Conference 1999 [7]. #12;ENERGY EFFICIENCY OF ERROR CORRECTION FOR WIRELESS COMMUNICATIONA ­ 2 on the energy of transmission and the energy of redundancy computation. We will show that the computational cost

  15. Effects of errors in the solar radius on helioseismic inferences

    E-Print Network [OSTI]

    Sarbani Basu

    1997-12-09T23:59:59.000Z

    Frequencies of intermediate-degree f-modes of the Sun seem to indicate that the solar radius is smaller than what is normally used in constructing solar models. We investigate the possible consequences of an error in radius on results for solar structure obtained using helioseismic inversions. It is shown that solar sound speed will be overestimated if oscillation frequencies are inverted using reference models with a larger radius. Using solar models with radius of 695.78 Mm and new data sets, the base of the solar convection zone is estimated to be at radial distance of $0.7135\\pm 0.0005$ of the solar radius. The helium abundance in the convection zone as determined using models with OPAL equation of state is $0.248\\pm 0.001$, where the errors reflect the estimated systematic errors in the calculation, the statistical errors being much smaller. Assuming that the OPAL opacities used in the construction of the solar models are correct, the surface $Z/X$ is estimated to be $0.0245\\pm 0.0006$.

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

    SciTech Connect (OSTI)

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

    2014-07-01T23:59:59.000Z

    The prediction, detection, and compensation of error fields for the W7-X device will play a key role in achieving a high beta (? = 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.

  17. Two infinite families of nonadditive quantum error-correcting codes

    E-Print Network [OSTI]

    Sixia Yu; Qing Chen; C. H. Oh

    2009-01-14T23:59:59.000Z

    We construct explicitly two infinite families of genuine nonadditive 1-error correcting quantum codes and prove that their coding subspaces are 50% larger than those of the optimal stabilizer codes of the same parameters via the linear programming bound. All these nonadditive codes can be characterized by a stabilizer-like structure and thus their encoding circuits can be designed in a straightforward manner.

  18. Threshold error rates for the toric and surface codes

    E-Print Network [OSTI]

    D. S. Wang; A. G. Fowler; A. M. Stephens; L. C. L. Hollenberg

    2009-05-05T23:59:59.000Z

    The surface code scheme for quantum computation features a 2d array of nearest-neighbor coupled qubits yet claims a threshold error rate approaching 1% (NJoP 9:199, 2007). This result was obtained for the toric code, from which the surface code is derived, and surpasses all other known codes restricted to 2d nearest-neighbor architectures by several orders of magnitude. We describe in detail an error correction procedure for the toric and surface codes, which is based on polynomial-time graph matching techniques and is efficiently implementable as the classical feed-forward processing step in a real quantum computer. By direct simulation of this error correction scheme, we determine the threshold error rates for the two codes (differing only in their boundary conditions) for both ideal and non-ideal syndrome extraction scenarios. We verify that the toric code has an asymptotic threshold of p = 15.5% under ideal syndrome extraction, and p = 7.8 10^-3 for the non-ideal case, in agreement with prior work. Simulations of the surface code indicate that the threshold is close to that of the toric code.

  19. RESIDUAL TYPE A POSTERIORI ERROR ESTIMATES FOR ELLIPTIC OBSTACLE PROBLEMS

    E-Print Network [OSTI]

    Nochetto, Ricardo H.

    to double obstacle problems are briefly discussed. Key words. a posteriori error estimates, residual Science Foundation under the grant No.19771080 and China National Key Project ``Large Scale Scientific\\Gamma satisfies / Ÿ 0 on @ and K is the convex set of admissible displacements K := fv 2 H 1 0(\\Omega\\Gamma : v

  20. Analysis of possible systematic errors in the Oslo method

    E-Print Network [OSTI]

    A. C. Larsen; M. Guttormsen; M. Krticka; E. Betak; A. Bürger; A. Görgen; H. T. Nyhus; J. Rekstad; A. Schiller; S. Siem; H. K. Toft; G. M. Tveten; A. V. Voinov; K. Wikan

    2012-11-27T23:59:59.000Z

    In this work, we have reviewed the Oslo method, which enables the simultaneous extraction of level density and gamma-ray transmission coefficient from a set of particle-gamma coincidence data. Possible errors and uncertainties have been investigated. Typical data sets from various mass regions as well as simulated data have been tested against the assumptions behind the data analysis.

  1. Flexible Error Protection for Energy Efficient Reliable Architectures Timothy Miller

    E-Print Network [OSTI]

    Xuan, Dong

    Flexible Error Protection for Energy Efficient Reliable Architectures Timothy Miller , Nagarjuna and Computer Engineering The Ohio State University {millerti,teodores}@cse.ohio-state.edu, nagarjun. To deal with these com- peting trends, energy-efficient solutions are needed to deal with reli- ability

  2. Fast Error Estimates For Indirect Measurements: Applications To Pavement Engineering

    E-Print Network [OSTI]

    Kreinovich, Vladik

    Fast Error Estimates For Indirect Measurements: Applications To Pavement Engineering Carlos that is difficult to measure directly (e.g., lifetime of a pavement, efficiency of an engine, etc). To estimate y computation time. As an example of this methodology, we give pavement lifetime estimates. This work

  3. Considering Workload Input Variations in Error Coverage Estimation

    E-Print Network [OSTI]

    Karlsson, Johan

    different parts of the workload code to be executed different number of times. By using the results from in the workload input when estimating error detection coverage using fault injection are investigated. Results sequence based on results from fault injection experiments with another input sequence is presented

  4. Data aware, Low cost Error correction for Wireless Sensor Networks

    E-Print Network [OSTI]

    California at San Diego, University of

    Data aware, Low cost Error correction for Wireless Sensor Networks Shoubhik Mukhopadhyay, Debashis challenges in adoption and deployment of wireless networked sensing applications is ensuring reliable sensor of such applications. A wireless sensor network is inherently vulnerable to different sources of unreliability

  5. Error Minimization Methods in Biproportional Apportionment Federica Ricca Andrea Scozzari

    E-Print Network [OSTI]

    Serafini, Paolo

    as an alternative to the classical axiomatic approach introduced by Balinski and Demange in 1989. We provide and in the statistical literature. A milestone theoretical setting was given by Balinski and Demange in 1989 [5, 6 a class of methods for Biproportional Apportionment characterized by an "error minimization" approach

  6. DISCRIMINATION AND CLASSIFICATION OF UXO USING MAGNETOMETRY: INVERSION AND ERROR

    E-Print Network [OSTI]

    Sambridge, Malcolm

    DISCRIMINATION AND CLASSIFICATION OF UXO USING MAGNETOMETRY: INVERSION AND ERROR ANALYSIS USING for the different solutions didn't even overlap. Introduction A discrimination and classification strategy ambiguity and possible remanent magnetization the recovered dipole moment is compared to a library

  7. Error Exponent for Discrete Memoryless Multiple-Access Channels

    E-Print Network [OSTI]

    Anastasopoulos, Achilleas

    Error Exponent for Discrete Memoryless Multiple-Access Channels by Ali Nazari A dissertation Bayraktar Associate Professor Jussi Keppo #12;c Ali Nazari 2011 All Rights Reserved #12;To my parents. ii Becky Turanski, Nancy Goings, Michele Feldkamp, Ann Pace, Karen Liska and Beth Lawson for efficiently

  8. Time reversal in thermoacoustic tomography - an error estimate

    E-Print Network [OSTI]

    Hristova, Yulia

    2008-01-01T23:59:59.000Z

    The time reversal method in thermoacoustic tomography is used for approximating the initial pressure inside a biological object using measurements of the pressure wave made outside the object. This article presents error estimates for the time reversal method in the cases of variable, non-trapping sound speeds.

  9. IPASS: Error Tolerant NMR Backbone Resonance Assignment by Linear Programming

    E-Print Network [OSTI]

    Waterloo, University of

    IPASS: Error Tolerant NMR Backbone Resonance Assignment by Linear Programming Babak Alipanahi1 automatically picked peaks. IPASS is proposed as a novel integer linear programming (ILP) based assignment assignment method. Although a variety of assignment approaches have been developed, none works well on noisy

  10. Research Article Preschool Speech Error Patterns Predict Articulation

    E-Print Network [OSTI]

    -age clinical outcomes. Many atypical speech sound errors in preschoolers may be indicative of weak phonological Outcomes in Children With Histories of Speech Sound Disorders Jonathan L. Preston,a,b Margaret Hull disorders (SSDs) predict articulation and phonological awareness (PA) outcomes almost 4 years later. Method

  11. Edinburgh Research Explorer Prevalence and Causes of Prescribing Errors

    E-Print Network [OSTI]

    Hall, Christopher

    of Prescribing Errors: The PRescribing Outcomes for Trainee Doctors Engaged in Clinical Training (PROTECT) Study: The PRescribing Outcomes for Trainee Doctors Engaged in Clinical Training (PROTECT) Study Cristi´n Ryan1 , Sarah Kingdom, 7 Health Psychology, University of Aberdeen, Aberdeen, United Kingdom, 8 Clinical Pharmacology

  12. Achievable Error Exponents for the Private Fingerprinting Game

    E-Print Network [OSTI]

    Merhav, Neri

    Achievable Error Exponents for the Private Fingerprinting Game Anelia Somekh-Baruch and Neri Merhav a forgery of the data while aiming at erasing the fingerprints in order not to be detected. Their action have presented and analyzed a game-theoretic model of private2 fingerprinting systems in the presence

  13. RESOLVE Upgrades for on Line Lattice Error Analysis

    SciTech Connect (OSTI)

    Lee, M.; Corbett, J.; White, G.; /SLAC; Zambre, Y.; /Unlisted

    2011-08-25T23:59:59.000Z

    We have increased the speed and versatility of the orbit analysis process by adding a command file, or 'script' language, to RESOLVE. This command file feature enables us to automate data analysis procedures to detect lattice errors. We describe the RESOLVE command file and present examples of practical applications.

  14. Stereoscopic Light Stripe Scanning: Interference Rejection, Error Minimization and Calibration

    E-Print Network [OSTI]

    This paper addresses the problem of rejecting interfer- ence due to secondary specular reflections, cross structure, acquisition delay, lack of error recovery, and incorrect modelling of measurement noise. We cause secondary reflections, edges and textures may have a stripe-like appearance, and cross-talk can

  15. Error Control Based Model Reduction for Parameter Optimization of Elliptic

    E-Print Network [OSTI]

    of technical devices that rely on multiscale processes, such as fuel cells or batteries. As the solutionError Control Based Model Reduction for Parameter Optimization of Elliptic Homogenization Problems optimization of elliptic multiscale problems with macroscopic optimization functionals and microscopic material

  16. Development of an Expert System for Classification of Medical Errors

    E-Print Network [OSTI]

    Kopec, Danny

    in the United States. There has been considerable speculation that these figures are either overestimated published by the Institute of Medicine (IOM) indicated that between 44,000 and 98,000 unnecessary deaths per in hospitals in the IOM report, what is of importance is that the number of deaths caused by such errors

  17. Odometry Error Covariance Estimation for Two Wheel Robot Vehicles

    E-Print Network [OSTI]

    Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University Technical Report MECSE-95-1 1995 ABSTRACT This technical report develops a simple statistical error model of the robot. Other paths can be composed of short segments of constant curvature arcs without great loss

  18. Wavelength-encoded optical psychrometer for relative humidity measurement

    SciTech Connect (OSTI)

    Montanini, Roberto [Department of Industrial Chemistry and Materials Engineering, University of Messina, I-98166 Messina (Italy)

    2007-02-15T23:59:59.000Z

    In this article an optical psychrometer, in which temperature measurements are performed by means of two fiber Bragg grating sensors used as dry-bulb and wet-bulb thermometers, is introduced. The adopted design exploits both the high accuracy of psychrometric-based relative humidity measurements with acknowledged advantages of wavelength-encoded fiber optic sensing. Important metrological issues that have been addressed in the experimental work include calibration of the fiber Bragg grating temperature sensors, evaluation of response time, sensitivity, hysteresis, linearity, and accuracy. The calibration results give confidence that, with the current experimental setup, measurement of temperature can be done with an uncertainty of {+-}0.2 deg. C and a resolution of 0.1 deg. C. A detailed uncertainty analysis is also presented in the article to investigate the effects produced by different sources of error on the combined standard uncertainty u{sub c}(U) of the relative humidity measurement, which has been estimated to be roughly within {+-}2% in the range close to saturation.

  19. Minimum Stream Flow Standards (Connecticut)

    Broader source: Energy.gov [DOE]

    These regulations apply to all dams and structures which impound or divert waters on rivers or their tributaries, with some exceptions. The regulations set standards for minimum flow (listed in the...

  20. Minimum Gas Service Standards (Ohio)

    Broader source: Energy.gov [DOE]

    Natural gas companies in Ohio are required to follow the Minimum Gas Service Standards, which are set and enforced by the Public Utilities Commission of Ohio. These rules are found in chapter 4901...