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DATA/ALK3.D/data.ms �2���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������17 SEP 104 10:28 ���������������������������������������������������������������÷ě���z�������������ű� )q��sö�5÷l��4��������������������������������������������������������������������������������������������������������������������������������������������������...

MINEX2-unsorted-pruned-CC/README The MINEX II Sample Data for Matching is comprised of 42 templates in ISO compact card format. These templates were created from ANSI 378 templates, and are not sorted. The templates are used to validate correct operation of the submitted SDK on the NIST test platform prior to the start of testing. The templates are representative of the FORMAT of the actual test data only. They are not intended to be representative of the test data in terms of number of minutiae or other characteristics. Participants shall compute the results of matching 100 pairs of templates from this set with their SDK, and return the scores to the Test Liaison (by email). If more than one SDK will be submitted, the process shown below shall be repeated for each additional SDK. STEPS ===== 1) Compute match scores for all 100 pairs of templates listed in the file "sd24pairs.lst". The format of this file is: [Probe Template Filename] [Gallery Template Filename] ------------------------------------------------------------------- **NOTE: Each score shall be produced by matching the Probe Template against the Gallery Template (in that order). ------------------------------------------------------------------- 2) Return the resul...

MINEX2-YX_descending-pruned-CC/README The MINEX II Sample Data for Matching is comprised of 42 templates in ISO compact card format. These templates were created from ANSI 378 templates sorted Y-X descending. The templates are used to validate correct operation of the submitted SDK on the NIST test platform prior to the start of testing. The templates are representative of the FORMAT of the actual test data only. They are not intended to be representative of the test data in terms of number of minutiae or other characteristics. Participants shall compute the results of matching 100 pairs of templates from this set with their SDK, and return the scores to the Test Liaison (by email). If more than one SDK will be submitted, the process shown below shall be repeated for each additional SDK. STEPS ===== 1) Compute match scores for all 100 pairs of templates listed in the file "sd24pairs.lst". The format of this file is: [Probe Template Filename] [Gallery Template Filename] ------------------------------------------------------------------- **NOTE: Each score shall be produced by matching the Probe Template against the Gallery Template (in that order). ------------------------------------------------------------------- 2) Return th...

Appendix B – Computational Requirements: MesoNet vs. Hybrid Model Study of Proposed Internet Congestion Control Mechanisms NIST Mills, et al. Special Publication 500-282 483 Appendix B Computational Requirements: MesoNet vs. Hybrid Model Junsoo Lee and colleagues [71] observe that packet-level network simulations, such as ns2 [79], require substantial computational resources for large-scale simulations and also entail so many parameters that it becomes difficult to understand the influence of specific factors on overall system performance. Lee also points out that aggregate fluid-flow models [e.g., 73] address these shortcomings but can only capture steady-state behaviors averaged over long time intervals. Lee describes a hybrid modeling framework that continuously approximates discrete variables by averaging over short intervals of time. Constraining the averaging interval allows generation of significant events, such as packet drops and related adjustments in congestion windows. Like MesoNet, Lee’s hybrid framework aims to simulate a manageable parameter space and thereby illuminate the influence of specific factors on system behavior, while reducing computational requirements. In ...

IKA®RV 10 basic IKA®RV 10 digital 042009 Betriebsanleitung DE 5 Operating instructions EN 17 Mode d’emploi FR 29 Instrucciones de manejo ES 41 36 785 00 Reg.-No. 4343-01 3678500_RV10bd_032009_4sprachig_ue:Layout 1 22.07.2009 17:30 Uhr Seite 1 3042009 EG-KONFORMITÄTSERKLÄRUNG DE Wir erklären in alleiniger Verantwortung, dass dieses Produkt den Bestimmungen der Richtlinien 2006/95/EG, 98/37/EG und 2004/108/EG entspricht und mit den folgenden Normen und norminativen Dokumenten übereinstimmt: DIN EN IEC 61010-1, -2-051; DIN EN ISO 12100-1, -2; EN 60204-1 und DIN EN IEC 61326-1. CE-DECLARATION OF CONFORMITY EN We declare under our sole responsibility that this product corresponds to the regulations 2006/95/EC, 98/37/EC and 2004/108/EC and conforms with the standards or standardized documents DIN EN IEC 61010-1, -2-051; DIN EN ISO 12100-1, -2; EN 60204-1 and DIN EN IEC 61326-1. DÉCLARATION DE CONFORMITÉ CE FR Nous déclarons sous notre propre responsabilité que ce produit est conforme aux réglementations 2006/95/CE, 98/37/CE et 2004/108/CE et en conformité avec les normes ou documents normalisés suivant DIN EN IEC 61010-1, -2-051; DIN EN ISO 12100-1, -2; EN 60204-1 et DIN EN IEC 61326-1. DECLARACION DE CONFORMIDAD DE CE ES Declaramos por nue...

T ru st w o rt h y N e tw o rk in g P ro g ra m 1 1 Characterization of the “Size and Shape” of Static RPKI December 7, 2010 Okhee Kim, K. Sriram, Oliver Borchert, and Doug Montgomery Contact: {okim, ksriram, borchert, dougm}@nist.gov T ru st w o rt h y N e tw o rk in g P ro g ra m 2 2 Outline  Goals  Methodology  Quantitative analysis of the current resource allocations  Characterization of static RPKI  Conclusions T ru st w o rt h y N e tw o rk in g P ro g ra m 3 3 NIST’s Goals  Develop models of the “size and shape” of a potential global RPKI structure from existing RIR/IRR databases.  Provide quantitative analyses of the scalability and the potential performance impact of global-scale deployed RPKI on routing dynamics.  Study the potential future changes in routing information infrastructure.  Evaluate how such issues as IPv4 address exhaustion will impact on the deployed RPKI.  Assess the potential load and weaknesses of the “moving parts” of the proposed RPKI infrastructure. T ru st w o rt h y N e tw o rk in g P ro g ra m 4 4 Methodology (1 of 2)  Use NIST TERRAIN DB data:...

Gas Metrology and Classical Methods Franklin R. Guenther NIST 100 Bureau Drive Gaithersburg MD 20899-8393 NIST Gas NTRM Meeting  Agenda:  1:30 Welcome  1:45 Summarizing the first 8 years of the gas NTRM Program (Bill Dorko)  2:30 Proposal for new gas NTRM certification program  3:00 Discussion  3:45 ISO TC158 Discussion  4:30 Adjourn 1679C 100 ppm CO in N2 13 1680B 500 ppm CO in N2 30 1681B 1000 CO in N2 48 1683B 50 ppm NO in N2 27 1684B 100 ppm NO in N2 55 1685B 250 ppm NO in N2 50 1686B 500 ppm NO in N2 50 1687B 1000 ppm NO in N2 44 1693A 50 ppm SO2 in N2 30 1694A 100 ppm SO2 in N2 59 1696A 3500 ppm SO2 in N2 29 1800 Non-Methane Organic Carbon (NMOC) in N29 1804A Ambient Toxic Organics in N2 0 2612A 10 ppm CO in Air 35 2613A 20 ppm CO in Air 32 2614A 45 ppm CO in Air 17 2619A 0.5% CO2 in N2 38 2620A 1.0% CO2 in N2 32 2621A 1.5% CO2 in N2 42 2622A 2.0% CO2 in N2 25 2623A 2.5% CO2 in N2 16 2624A 3.0% CO2 in N2 40 SRM# Description !Total 1625 10 cm SO2 Permeation Device 51 1626 5 cm SO2 Permeation Device 22 1658A 1 ppm Methane in Air 51 1659A 10 ppm Methane in Air 20 1660A 4 ppm Methane, 1 ppm Propane in Air 26 1661A 500 ppm SO2 in N2 20 1662A 1000 ppm SO2 in N2 19 1663A 1500 ppm SO2 in N2 2...

A I R V E H I C L E E N G I N E E R I N G HALON 1211 ALTERNATIVE EFFORTS One More Time Presented to: Halon Options Technical Working Committee (HOTWC) 17 May 2006 Presented by: Bill Leach NAVAIR Fire Protection Team Leader 732-323-1184 A I R V E H I C L E E N G I N E E R I N G NAVAL AVIATION SYSTEMS oo MAET MAET MAET A I R V E H I C L E E N G I N E E R I N G DoN HALON 1211 USES • Aviation Flightline 150 lb Wheeled Portable Fire Extinguisher (PFE) – Predominate Usage (~75%+) • ARFF Equipment (Installed Systems) – Less Significant Usage (~15%) – ARFF Vehicles (Shore): 500 lbs/each • New Vehicles Use PKP – Twin Agent Units (TAU) 200-350 lbs/each • PFEs (2.5 lbs – 20 lbs) – Minor Usage (~5%) – Shore Based ARFF Vehicles – Shipboard MFFV (P-25) – Training & Transport Aircraft • LCAC – Minor Usage (<3%) – Critical Weight & Space Req’ts • C-130J Engine Nacelle – Minor Usage (<1%) A I R V E H I C L E E N G I N E E R I N G DoN HALON 1211 RESERVE 0 50000 100000 150000 200000 250000 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 Balance (year end) Issues Returns A I R ...