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Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

U-219: Symantec Web Gateway Input Validation Flaws Lets Remote...  

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

9: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords U-219: Symantec Web Gateway Input...

2

T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in  

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

1: Citrix Access Gateway Enterprise Edition Input Validation 1: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks August 25, 2011 - 3:33pm Addthis PROBLEM: A vulnerability was reported in Citrix Access Gateway Enterprise Edition. A remote user can conduct cross-site scripting attacks. PLATFORM: Citrix Access Gateway Enterprise Edition 9.2-49.8 and prior. Citrix Access Gateway Enterprise Edition version 9.3 is not affected by this vulnerability. ABSTRACT: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks. reference LINKS: SecurityTracker Alert ID: 1025973 Citrix Document ID: CTX129971

3

U-219: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject  

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

19: Symantec Web Gateway Input Validation Flaws Lets Remote 19: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords U-219: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords July 24, 2012 - 7:00am Addthis PROBLEM: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords PLATFORM: Symantec Web Gateway 5.0.x.x ABSTRACT: Several vulnerabilities were reported in Symantec Web Gateway. REFERENCE LINKS: Security Advisories Relating to Symantec Products SecurityTracker Alert ID: 1027289 Bugtraq ID: 54424 Bugtraq ID: 54425 Bugtraq ID: 54426 Bugtraq ID: 54427 Bugtraq ID: 54429 Bugtraq ID: 54430

4

U-219: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject  

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

19: Symantec Web Gateway Input Validation Flaws Lets Remote 19: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords U-219: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords July 24, 2012 - 7:00am Addthis PROBLEM: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords PLATFORM: Symantec Web Gateway 5.0.x.x ABSTRACT: Several vulnerabilities were reported in Symantec Web Gateway. REFERENCE LINKS: Security Advisories Relating to Symantec Products SecurityTracker Alert ID: 1027289 Bugtraq ID: 54424 Bugtraq ID: 54425 Bugtraq ID: 54426 Bugtraq ID: 54427 Bugtraq ID: 54429 Bugtraq ID: 54430

5

V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site  

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

3: Symantec Brightmail Gateway Input Validation Flaw Permits 3: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks May 10, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Symantec Brightmail Gateway PLATFORM: The vulnerabilities are reported in versions prior to 9.5.x ABSTRACT: Symantec's Brightmail Gateway management console is susceptible to stored cross-site scripting (XSS) issues found in some of the administrative interface pages. REFERENCE LINKS: Security Tracker Alert ID: 1028530 Symantec Security Advisory CVE-2013-1611 IMPACT ASSESSMENT: Medium DISCUSSION: The administrative interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause

6

T-623: HP Business Availability Center Input Validation Hole...  

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

Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting...

7

U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...  

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

2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

8

V-139: Cisco Network Admission Control Input Validation Flaw...  

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

Sensitive Information U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-015: CiscoWorks Common...

9

T-623: HP Business Availability Center Input Validation Hole Permits  

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

3: HP Business Availability Center Input Validation Hole 3: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks May 16, 2011 - 3:05pm Addthis PROBLEM: A vulnerability was reported in HP Business Availability Center. A remote user can conduct cross-site scripting attacks. PLATFORM: HP Business Availability Center software 8.06 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: SecurityTracker Alert ID:1025535 HP Knowledge Base CVE-2011-1856 Secunia ID: SA44569 HP Document ID:c02823184 | ESB-2011.0525 IMPACT ASSESSMENT: High Discussion: A remote user can cause arbitrary scripting code to be executed by the

10

T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits  

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

3: Symantec Endpoint Protection Manager Input Validation Hole 3: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks August 15, 2011 - 3:42pm Addthis PROBLEM: Two vulnerabilities were reported in Symantec Endpoint Protection Manager. A remote user can conduct cross-site scripting attacks. A remote user can conduct cross-site request forgery attacks. PLATFORM: Version(s): 11.0 RU6(11.0.600x), 11.0 RU6-MP1(11.0.6100), 11.0 RU6-MP2(11.0.6200), 11.0 RU6-MP3(11.0.6300) ABSTRACT: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks. reference LINKS:

11

V-192: Symantec Security Information Manager Input Validation Flaws Permit  

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

92: Symantec Security Information Manager Input Validation Flaws 92: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks July 4, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Symantec Security Information Manager PLATFORM: Symantec Security Information Manager Appliance Version 4.7.x and 4.8.0 ABSTRACT: Symantec was notified of multiple security issues impacting the SSIM management console REFERENCE LINKS: SecurityTracker Alert ID: 1028727 Symantec Security Advisory SYM13-006 CVE-2013-1613 CVE-2013-1614 CVE-2013-1615 IMPACT ASSESSMENT: Medium DISCUSSION: The console does not properly filter HTML code from user-supplied input

12

U-173: Symantec Web Gateway Multiple Vulnerabilities | Department of Energy  

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

3: Symantec Web Gateway Multiple Vulnerabilities 3: Symantec Web Gateway Multiple Vulnerabilities U-173: Symantec Web Gateway Multiple Vulnerabilities May 21, 2012 - 7:00am Addthis PROBLEM: Symantec Web Gateway Multiple Vulnerabilities PLATFORM: 5.0.x prior to 5.0.3 ABSTRACT: Several vulnerabilities were reported in Symantec Web Gateway. A remote user can include and execute arbitrary code on the target system. A remote user can conduct cross-site scripting attacks. A remote user can view/delete/upload files on the target system. Reference Links: SecurityTracker Alert ID: 1027078 CVE-2012-0296 CVE-2012-0297 CVE-2012-0298 CVE-2012-0299 IMPACT ASSESSMENT: Medium Discussion: The management interface does not properly authenticate remote users and does not properly validate user-supplied input. A remote user can cause arbitrary scripting code to be executed by the

13

The SCALE Verified, Archived Library of Inputs and Data - VALID  

SciTech Connect (OSTI)

The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional experiments from the IHECSBE, to include experiments from areas beyond criticality safety, such as reactor physics and shielding, and to include application models. In the future, external SCALE users may also obtain qualification under the VALID procedure and be involved in expanding the library. The VALID library provides a pathway for the criticality safety community to leverage modeling and analysis expertise at ORNL.

Marshall, William BJ J [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL

2013-01-01T23:59:59.000Z

14

NERSC Science Gateways  

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

QCD, Materials Science, Science Gateways About Science Gateways A science gateway is a web based interface to access HPC computers and storage systems. Gateways allow science...

15

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm'...  

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

ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting...

16

U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site...  

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

Attacks U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks December 2, 2011 - 5:24am Addthis PROBLEM: Adobe Flex SDK Input Validation Flaw Permits...

17

V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...  

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

8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

18

V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...  

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

4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

19

T-602: BlackBerry Enterprise Server Input Validation Flaw in...  

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

02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

20

U-001:Symantec IM Manager Input Validation Flaws | Department of Energy  

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

U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws October 3, 2011 - 12:45pm Addthis PROBLEM: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. PLATFORM: Version(s): prior to 8.4.18 ABSTRACT: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. reference LINKS: Security Advisory: SYM11-012 SecurityTracker Alert ID: 1026130 IMPACT ASSESSMENT: Medium Discussion: Several vulnerabilities were reported in Symantec IM Manager. A remote user can conduct cross-site scripting attacks. A remote user can inject SQL commands. Several scripts do not properly filter HTML code from user-supplied input before displaying the input [CVE-2011-0552]. A remote user can create a

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting  

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

4: Splunk Web Input Validation Flaw Permits Cross-Site 4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis PROBLEM: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 4.3.0 through 4.3.5 ABSTRACT: A vulnerability was reported in Splunk Web. REFERENCE LINKS: SecurityTracker Alert ID: 1028371 Splunk IMPACT ASSESSMENT: High DISCUSSION: Splunk Web does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the Splunk Web software and will run in the security context of that site. As a result, the code will be able to access the

22

U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site  

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

2: Barracuda Web Filter Input Validation Flaws Permit 2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September 6, 2012 - 6:00am Addthis PROBLEM: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks PLATFORM: Barracuda Web Filter 5.0.015 is vulnerable; other versions may also be affected. ABSTRACT: Barracuda Web Filter Authentication Module Multiple HTML Injection Vulnerabilities reference LINKS: Barracuda Networks Barracuda Networks Security ID: BNSEC-279/BNYF-5533 SecurityTracker Alert ID: 1027500 Bugtraq ID: 55394 seclists.org IMPACT ASSESSMENT: Medium Discussion: Two scripts not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to

23

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

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

70: Skype Input Validation Flaw in 'mobile phone' Profile Entry 70: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

24

U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting  

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

0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site 0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks December 2, 2011 - 5:24am Addthis PROBLEM: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks. PLATFORM: Adobe Flex SDK 4.5.1 and earlier 4.x versions for Windows, Macintosh and Linux Adobe Flex SDK 3.6 and earlier 3.x versions for Windows, Macintosh and Linux ABSTRACT: Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: Adobe Security Bulletin CVE-2011-2461 SecurityTracker Alert ID: 1026361 IMPACT ASSESSMENT: High Discussion: A remote user may be able to cause arbitrary scripting code to be executed

25

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

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

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

26

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

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

0: Skype Input Validation Flaw in 'mobile phone' Profile Entry 0: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

27

U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName'  

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

2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' 2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks March 23, 2012 - 7:42am Addthis PROBLEM: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks PLATFORM: Apache Wicket 1.4.x ABSTRACT: A remote user can conduct cross-site scripting attacks. reference LINKS: Apache Wicket CVE-2012-0047 SecurityTracker Alert ID: 1026839 IMPACT ASSESSMENT: High Discussion: The software does not properly filter HTML code from user-supplied input in the 'wicket:pageMapName' request parameter before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target

28

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

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

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

29

V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote  

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

9: Cisco Network Admission Control Input Validation Flaw Lets 9: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands April 21, 2013 - 11:50pm Addthis PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A vulnerability was reported in Cisco Network Admission Control. REFERENCE LINKS: SecurityTracker Alert ID: 1028451 Cisco Advisory ID: cisco-sa-20130417-nac CVE-2013-1177 IMPACT ASSESSMENT: High DISCUSSION: The Cisco Network Admission Control (NAC) Manager does not properly validate user-supplied input. A remote user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

30

V-085: Cisco Unity Express Input Validation Hole Permits Cross-Site Request  

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

5: Cisco Unity Express Input Validation Hole Permits Cross-Site 5: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks V-085: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks February 6, 2013 - 1:06am Addthis PROBLEM: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks PLATFORM: Cisco Unity Express prior to 8.0 ABSTRACT: A vulnerability was reported in Cisco Unity Express. REFERENCE LINKS: Cisco Security Notice SecurityTracker Alert ID: 1028075 CVE-2013-1120 IMPACT ASSESSMENT: Medium DISCUSSION: Cisco Unity Express software prior to version 8.0 contains vulnerabilities that could allow an unauthenticated, remote attacker to conduct cross site request forgery attacks. The vulnerabilities are due to insufficient input validation. An attacker could exploit these vulnerabilities by

31

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

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

4: HP Network Node Manager i Input Validation Hole Permits 4: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks July 3, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 8.x, 9.0x, 9.1x ABSTRACT: Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS). reference LINKS: The Vendor's Advisory SecurityTracker Alert ID: 1027215 CVE-2012-2018 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in HP Network Node Manager i. The software does not properly filter HTML code from user-supplied input before

32

U-255: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting  

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

5: Apache Wicket Input Validation Flaw Permits Cross-Site 5: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks U-255: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks September 11, 2012 - 6:00am Addthis PROBLEM: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Apache Software Foundation Apache Wicket 1.5.5 Apache Software Foundation Apache Wicket 1.5-RC5.1 Apache Software Foundation Apache Wicket 1.4.20 Apache Software Foundation Apache Wicket 1.4.18 Apache Software Foundation Apache Wicket 1.4.17 Apache Software Foundation Apache Wicket 1.4.16 ABSTRACT: A vulnerability was reported in Apache Wicket reference LINKS: Apache Wicket SecurityTracker Alert ID: 1027508 Bugtraq ID: 55445 CVE-2012-3373 IMPACT ASSESSMENT: Medium Discussion: The software does not properly filter HTML code from user-supplied input in

33

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

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

204: HP Network Node Manager i Input Validation Hole Permits 204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks July 3, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 8.x, 9.0x, 9.1x ABSTRACT: Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS). reference LINKS: The Vendor's Advisory SecurityTracker Alert ID: 1027215 CVE-2012-2018 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in HP Network Node Manager i. The software does not properly filter HTML code from user-supplied input before

34

U-102: Cisco IronPort Encryption Appliance Input Validation Flaw Permits  

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

2: Cisco IronPort Encryption Appliance Input Validation Flaw 2: Cisco IronPort Encryption Appliance Input Validation Flaw Permits Cross-Site Scripting Attacks U-102: Cisco IronPort Encryption Appliance Input Validation Flaw Permits Cross-Site Scripting Attacks February 14, 2012 - 8:00am Addthis PROBLEM: A vulnerability was reported in Cisco IronPort Encryption Appliance. PLATFORM: Version(s): prior to 6.5.3 ABSTRACT: A remote user can conduct cross-site scripting reference LINKS: Vendor URL CVE-2012-0340 Security Tracker ID:1026669 IMPACT ASSESSMENT: Medium Discussion: The interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will originate from

35

V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting  

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

8: Splunk Web Input Validation Flaw Permits Cross-Site 8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Splunk Web PLATFORM: Version(s) prior to 5.0.3 ABSTRACT: A reflected cross-site scripting vulnerability was identified in Splunk Web REFERENCE LINKS: SecurityTracker Alert ID: 1028605 Splunk Security Advisory SPL-59895 CVE-2012-6447 IMPACT ASSESSMENT: Medium DISCUSSION: The web interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will

36

U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site  

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

4:Juniper Secure Access Input Validation Flaw Permits 4:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks April 10, 2012 - 7:30am Addthis PROBLEM: A vulnerability was reported in Juniper Secure Access/Instant Virtual Extranet (IVE). A remote user can conduct cross-site scripting attacks. PLATFORM: Version(s): prior to 7.0R9 and 7.1R ABSTRACT: The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. reference LINKS: Vendor URL SecurityTracker Alert ID: 1026893 IMPACT ASSESSMENT: High Discussion: The code will originate from the interface and will run in the security

37

V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting  

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

93: Barracuda SSL VPN Input Validation Hole Permits Cross-Site 93: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks July 5, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Barracuda SSL VPN PLATFORM: Version(s) prior to 2.3.3.216 ABSTRACT: Several scripts do not properly filter HTML code from user-supplied input before displaying the input via several parameters REFERENCE LINKS: SecurityTracker Alert ID: 1028736 Barracuda SSL VPN Release Notes Zero Science Lab IMPACT ASSESSMENT: Medium DISCUSSION: The code will originate from the Barracuda SSL VPN interface and will run in the security context of that site. As a result, the code will be able to access the target user's cookies (including authentication cookies), if

38

U-139: IBM Tivoli Directory Server Input Validation Flaw | Department of  

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

39: IBM Tivoli Directory Server Input Validation Flaw 39: IBM Tivoli Directory Server Input Validation Flaw U-139: IBM Tivoli Directory Server Input Validation Flaw April 3, 2012 - 7:00am Addthis PROBLEM: A vulnerability was reported in IBM Tivoli Directory Server. A remote user can conduct cross-site scripting attacks PLATFORM: Version(s): 6.2, 6.3 ABSTRACT: The Web Admin Tool does not properly filter HTML code from user-supplied input before displaying the input. Reference LINKS: Vendor Advisory Security Tracker ID 1026880 CVE-2012-0740 IMPACT ASSESSMENT: Medium Discussion: A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the IBM Tivoli Directory Server software and will run in the security context

39

V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting  

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

V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in IBM Lotus iNotes PLATFORM: IBM Lotus iNotes 8.5.x ABSTRACT: IBM Lotus iNotes 8.5.x contains four cross-site scripting vulnerabilities REFERENCE LINKS: Security Tracker Alert ID 1028954 IBM Security Bulletin 1647740 Seclist.org CVE-2013-0590 CVE-2013-0591 CVE-2013-0595 IMPACT ASSESSMENT: Medium DISCUSSION: The software does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate

40

V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting  

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

68: Splunk Web Input Validation Flaw Permits Cross-Site 68: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Splunk Web PLATFORM: Version(s) prior to 5.0.3 ABSTRACT: A reflected cross-site scripting vulnerability was identified in Splunk Web REFERENCE LINKS: SecurityTracker Alert ID: 1028605 Splunk Security Advisory SPL-59895 CVE-2012-6447 IMPACT ASSESSMENT: Medium DISCUSSION: The web interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL  

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

5: PHPlist Input Validation Flaws Permit Cross-Site Scripting 5: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks June 20, 2012 - 7:00am Addthis PROBLEM: Two vulnerabilities were reported in PHPlist. A remote user can conduct cross-site scripting attacks. A remote authenticated user can inject SQL commands. PLATFORM: Version(s): prior to 2.10.18 ABSTRACT: The 'public_html/lists/admin' pages do not properly validate user-supplied input in the 'sortby' parameter [CVE-2012-2740]. A remote authenticated administrative user can supply a specially crafted parameter value to execute SQL commands on the underlying database. REFERENCE LINKS: Vendor Advisory Security Tracker ID 1027181 CVE-2012-2740, CVE-2012-2741

42

T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site  

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

6: Microsoft MHTML Input Validation Hole May Permit Cross-Site 6: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code January 31, 2011 - 7:00am Addthis PROBLEM: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code. PLATFORM: Microsoft 2003 SP2, Vista SP2, 2008 SP2, XP SP3, 7; and prior service packs ABSTRACT: A vulnerability was reported in Microsoft MHTML. A remote user can conduct cross-site scripting attacks. reference LINKS: Microsoft Security Advisory 2501696 Microsoft Support Security Tracker Alert CVE-2011-0096 IMPACT ASSESSMENT: Medium Discussion: The vulnerability exists due to the way MHTML interprets MIME-formatted requests for content blocks within a document. It is possible for this

43

U-238: HP Service Manager Input Validation Flaw Permits Cross-Site  

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

8: HP Service Manager Input Validation Flaw Permits Cross-Site 8: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks August 17, 2012 - 7:00am Addthis PROBLEM: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 7.11, 9.21, 9.30 ABSTRACT: Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers to inject arbitrary web script or HTML via unspecified vectors. REFERENCE LINKS: www2.hp.com http://www.securitytracker.com/id/1027399 CVE-2012-3251 IMPACT ASSESSMENT: Moderate Discussion: A vulnerability was reported in HP Service Manager. A remote user can conduct cross-site scripting attacks. The software does not properly filter

44

V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users  

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

0: Apache VCL Input Validation Flaw Lets Remote Authenticated 0: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges May 7, 2013 - 12:01am Addthis PROBLEM: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges PLATFORM: Apache VCL Versions: 2.1, 2.2, 2.2.1, 2.3, 2.3.1 ABSTRACT: A vulnerability was reported in Apache VCL. REFERENCE LINKS: Apache Securelist SecurityTracker Alert ID: 1028515 CVE-2013-0267 IMPACT ASSESSMENT: Medium DISCUSSION: A remote authenticated administrative user with minimal administrative privileges (i.e., nodeAdmin, manageGroup, resourceGrant, or userGrant) can send specially crafted data via the web interface or XMLRPC API to gain additional administrative privileges.

45

U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site  

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

9: HP Network Node Manager i Input Validation Flaw Permits 9: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks August 7, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: HP Network Node Manager I (NNMi) v8.x, v9.0x, v9.1x, v9.20 for HP-UX, Linux, Solaris, and Windows ABSTRACT: Potential security vulnerabilities have been identified with HP Network Node Manager i (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS). Reference LINKS: HP Document ID: c03405705 SecurityTracker Alert ID: 1027345 Bugtraq ID: 54815 CVE-2012-2022 IMPACT ASSESSMENT:

46

T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting  

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

0: HP Diagnostics Input Validation Hole Permits Cross-Site 0: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks March 29, 2011 - 3:05pm Addthis PROBLEM: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks in ActiveSync Lets Remote Users Execute Arbitrary Code. PLATFORM: HP Diagnostics software: version(s) 7.5, 8.0 prior to 8.05.54.225 ABSTRACT: A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS). reference LINKS: HP Document ID: c02770512 SecurityTracker Alert ID: 1025255 CVE-2011-0892 Security Focus Document ID: c02770512 IMPACT ASSESSMENT: High Discussion: A vulnerability was reported in HP Diagnostics. A remote user can conduct

47

U-238: HP Service Manager Input Validation Flaw Permits Cross-Site  

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

38: HP Service Manager Input Validation Flaw Permits Cross-Site 38: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks August 17, 2012 - 7:00am Addthis PROBLEM: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 7.11, 9.21, 9.30 ABSTRACT: Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers to inject arbitrary web script or HTML via unspecified vectors. REFERENCE LINKS: www2.hp.com http://www.securitytracker.com/id/1027399 CVE-2012-3251 IMPACT ASSESSMENT: Moderate Discussion: A vulnerability was reported in HP Service Manager. A remote user can conduct cross-site scripting attacks. The software does not properly filter

48

T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site  

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

6: Microsoft MHTML Input Validation Hole May Permit Cross-Site 6: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code January 31, 2011 - 7:00am Addthis PROBLEM: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code. PLATFORM: Microsoft 2003 SP2, Vista SP2, 2008 SP2, XP SP3, 7; and prior service packs ABSTRACT: A vulnerability was reported in Microsoft MHTML. A remote user can conduct cross-site scripting attacks. reference LINKS: Microsoft Security Advisory 2501696 Microsoft Support Security Tracker Alert CVE-2011-0096 IMPACT ASSESSMENT: Medium Discussion: The vulnerability exists due to the way MHTML interprets MIME-formatted requests for content blocks within a document. It is possible for this

49

V-034: RSA Adaptive Authentication (On-Premise) Input Validation Flaws  

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

4: RSA Adaptive Authentication (On-Premise) Input Validation 4: RSA Adaptive Authentication (On-Premise) Input Validation Flaws Permit Cross-Site Scripting Attacks V-034: RSA Adaptive Authentication (On-Premise) Input Validation Flaws Permit Cross-Site Scripting Attacks November 27, 2012 - 2:00am Addthis PROBLEM: RSA Adaptive Authentication (On-Premise) Input Validation Flaws Permit Cross-Site Scripting Attacks PLATFORM: RSA Adaptive Authentication (On-Premise) 6.x ABSTRACT: A vulnerability was reported in RSA Adaptive Authentication (On-Premise). REFERENCE LINKS: SecurityTracker Alert ID: 1027811 SecurityFocus Security Alert RSA Customer Support CVE-2012-4611 IMPACT ASSESSMENT: Medium DISCUSSION: A vulnerability was reported in RSA Adaptive Authentication (On-Premise). A remote user can conduct cross-site scripting attacks. The software does not

50

V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site  

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

2: Microsoft SharePoint Input Validation Flaws Permit 2: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks March 15, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Microsoft SharePoint PLATFORM: Microsoft SharePoint 2010 SP1 ABSTRACT: This security update resolves four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation. REFERENCE LINKS: Security Tracker Alert ID 1028278 MS Security Bulletin MS13-024 CVE-2013-0080 CVE-2013-0083 CVE-2013-0084 CVE-2013-0085 IMPACT ASSESSMENT: High DISCUSSION: The security update addresses the vulnerabilities correcting the way that Microsoft SharePoint Server validates URLs and user input.

51

U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets  

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

15: CiscoWorks Common Services Home Page Input Validation Flaw 15: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands October 20, 2011 - 7:30am Addthis PROBLEM: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands. PLATFORM: CiscoWorks Common Services-based products prior to version 4.1 running on Microsoft Windows ABSTRACT: Successful exploitation of this vulnerability may allow an authenticated, remote attacker to execute arbitrary commands on the affected system with the privileges of a system administrator. reference LINKS: Cisco Security Advisory ID: cisco-sa-20111019-cs Cisco Security Advisories and Responses

52

T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit  

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

2: IBM WebSphere Commerce Edition Input Validation Holes Permit 2: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks September 21, 2011 - 8:15am Addthis PROBLEM: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks. PLATFORM: WebSphere Commerce Edition V7.0 ABSTRACT: A remote user can access the target user's cookies (including authentication cookies), if any, associated with the site running the IBM WebSphere software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user. reference LINKS: IBM Recommended Fixes for WebSphere Commerce IBM Support SecurityTracker Alert ID: 1026074

53

V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site  

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

2: Microsoft SharePoint Input Validation Flaws Permit 2: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks March 15, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Microsoft SharePoint PLATFORM: Microsoft SharePoint 2010 SP1 ABSTRACT: This security update resolves four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation. REFERENCE LINKS: Security Tracker Alert ID 1028278 MS Security Bulletin MS13-024 CVE-2013-0080 CVE-2013-0083 CVE-2013-0084 CVE-2013-0085 IMPACT ASSESSMENT: High DISCUSSION: The security update addresses the vulnerabilities correcting the way that Microsoft SharePoint Server validates URLs and user input.

54

T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting  

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

0: HP Diagnostics Input Validation Hole Permits Cross-Site 0: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks March 29, 2011 - 3:05pm Addthis PROBLEM: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks in ActiveSync Lets Remote Users Execute Arbitrary Code. PLATFORM: HP Diagnostics software: version(s) 7.5, 8.0 prior to 8.05.54.225 ABSTRACT: A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS). reference LINKS: HP Document ID: c02770512 SecurityTracker Alert ID: 1025255 CVE-2011-0892 Security Focus Document ID: c02770512 IMPACT ASSESSMENT: High Discussion: A vulnerability was reported in HP Diagnostics. A remote user can conduct

55

U-255: Apache Wicket Input Validation Flaw Permits Cross-Site...  

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

Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Apache Software Foundation Apache Wicket 1.5.5 Apache Software Foundation Apache Wicket 1.5-RC5.1 Apache...

56

U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query  

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

0:Trend Micro Control Manager Input Validation Flaw in Ad Hoc 0:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands September 28, 2012 - 6:00am Addthis PROBLEM: Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands PLATFORM: Control Manager - 3.0, 3.5, 5.0, 5.5, 6.0 ABSTRACT: Trend Micro has been notified of a potential product vulnerability in Control Manager. reference LINKS: Trend Micro Technical Support ID 1061043 SecurityTracker Alert ID: 1027584 Secunia Advisory SA50760 CVE-2012-2998 IMPACT ASSESSMENT: Medium Discussion: A vulnerability has been reported in Trend Micro Control Manager, which can

57

U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets  

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

5: CiscoWorks Common Services Home Page Input Validation Flaw 5: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands October 20, 2011 - 7:30am Addthis PROBLEM: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands. PLATFORM: CiscoWorks Common Services-based products prior to version 4.1 running on Microsoft Windows ABSTRACT: Successful exploitation of this vulnerability may allow an authenticated, remote attacker to execute arbitrary commands on the affected system with the privileges of a system administrator. reference LINKS: Cisco Security Advisory ID: cisco-sa-20111019-cs Cisco Security Advisories and Responses

58

GATEWAY Demonstrations  

Broader source: Energy.gov [DOE]

DOE GATEWAY demonstrations showcase high-performance LED products for general illumination in a variety of commercial and residential applications. Demonstration results provide real-world experience and data on state-of-the-art solid-state lighting (SSL) product performance and cost effectiveness. These results connect DOE technology procurement efforts with large-volume purchasers and provide buyers with reliable data on product performance.

59

T-602: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web  

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

02: BlackBerry Enterprise Server Input Validation Flaw in 02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks April 14, 2011 - 5:07am Addthis PROBLEM: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks PLATFORM: BlackBerry Enterprise Server Express versions 5.0.1 and 5.0.2 for Microsoft Exchange, 5.0.2 for IBM Lotus Domino, 5.0.0 through 5.0.3 for Microsoft Exchange and IBM Lotus Domino, and version 5.0.1 for Novell GroupWise. OS Platform(s): Windows (2000), Windows (2003), Windows (2008) ABSTRACT: The BlackBerry Web Desktop Manager not properly filter HTML code from

60

NERSC Science Gateway Development  

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

Design Forward Design Forward Home » R & D » Science Gateway Development Science Gateway Development Science gateways are conduits for bringing HPC to the web. NERSC assists in the development and hosting of gateways that make NERSC compute and data resources more broadly useful. To ease the development of these gateways, the NERSC Web Toolkit (NEWT) makes science gateways accessible to anyone familiar with HTML and javascript. You can find more detailed information about science gateway development in the related NERSC user documentation and at the NEWT website. What are some use cases? A science gateway can be tailored to the needs within a team of researchers allowing them to share data, simulation results, and information among users who may be geographically distributed.

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Willow Creek Gallatin Gateway  

E-Print Network [OSTI]

Gateway West Yellowstone BOZEMAN MISSOULA BILLINGS GREAT FALLS Hill Valley Phillips Blaine Fergus Park Valley Silver Bow Deer Lodge Montana Office of Rural Health and Area Health Education Centers (AHEC

Maxwell, Bruce D.

62

Gateway | OpenEI  

Open Energy Info (EERE)

Gateway Gateway Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 110, and contains only the reference case. The dataset uses gigawatts, billion kilowatthours and quadrillion Btu. The data is broken down into generating capacity, electricity generation and energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Gateway Reliability First Corporation SERC Reliability Corporation Data application/vnd.ms-excel icon AEO2011:Renewable Energy Generation by Fuel - SERC Reliability Corporation / Gateway- Reference Case (xls, 118.9 KiB) Quality Metrics Level of Review Peer Reviewed

63

U-067:WebSVN Input Validation Flaw in getLog() Permits Cross-Site Scripting  

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

7:WebSVN Input Validation Flaw in getLog() Permits Cross-Site 7:WebSVN Input Validation Flaw in getLog() Permits Cross-Site Scripting Attacks U-067:WebSVN Input Validation Flaw in getLog() Permits Cross-Site Scripting Attacks December 22, 2011 - 8:15am Addthis PROBLEM: WebSVN Input Validation Flaw in getLog() Permits Cross-Site Scripting Attacks PLATFORM: WebSVN 2.3.0 and prior versions ABSTRACT: A remote user can access the target user's cookies (including authentication cookies), if any, associated with the site running the WebSVN software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user. reference LINKS: SecurityTracker Alert ID: 1026438 WebSVN version update WebSVN News IMPACT ASSESSMENT: Medium Discussion: The getLog() function does not properly filter HTML code from user-supplied

64

GATEWAY Demonstration Outdoor Projects  

Broader source: Energy.gov [DOE]

DOE shares the results of completed GATEWAY demonstration projects, publishing detailed reports that include analysis of data collected, projected energy savings, economic analyses, and user feedback. Report briefs summarize key findings in a quick-scan format. Both the reports and briefs are available as Adobe Acrobat PDFs.

65

GATEWAY Demonstration Indoor Projects  

Broader source: Energy.gov [DOE]

DOE shares the results of completed GATEWAY demonstration projects, publishing detailed reports that include analysis of data collected, projected energy savings, economic analyses, and user feedback. Report briefs summarize key findings in a quick-scan format. Both the reports and briefs are available as Adobe Acrobat PDFs.

66

gateway | OpenEI Community  

Open Energy Info (EERE)

gateway gateway Home Graham7781's picture Submitted by Graham7781(1992) Super contributor 28 March, 2013 - 15:16 OpenEI launches new Water Power Gateway and Community Forum community forum gateway OpenEI Water power OpenEI has launched a new Water Power Gateway, which contains links to critical public data sets, up-to-date information on technologies and events, a community forum to discuss topics of interest, links to major research and industry reports, and more. Water Power Forum Description: Forum for information related to the Water Power Gateway The Water Power Community Forum provides you with a way to engage with other people in the community about the water power topics you care about forum gateway hydro Power Water Syndicate content 429 Throttled (bot load) Error 429 Throttled (bot load)

67

National Gateway GWPC/EIA  

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

Developing a National Gateway to oil and gas well data Interstate Oil & Gas Compact Commission Midyear Issues Summit May 19, 2014 | Biloxi, MS By Adam Sieminski, EIA Administrator...

68

BASSET: Scalable Gateway Finder in Large Graphs  

SciTech Connect (OSTI)

Given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to help you learn about, say, wavelets? The goal is to find a small group of 'gateways': persons who are close enough to us, as well as close enough to the target (person, or skill) or, in other words, are crucial in connecting us to the target. The main contributions are the following: (a) we show how to formulate this problem precisely; (b) we show that it is sub-modular and thus it can be solved near-optimally; (c) we give fast, scalable algorithms to find such gateways. Experiments on real data sets validate the effectiveness and efficiency of the proposed methods, achieving up to 6,000,000x speedup.

Tong, H; Papadimitriou, S; Faloutsos, C; Yu, P S; Eliassi-Rad, T

2010-11-03T23:59:59.000Z

69

Residential energy gateway system in smart grid.  

E-Print Network [OSTI]

??This project discusses about the residential energy gateway in the Smart Grid. A residential energy gateway is a critical component in the Home Energy Management (more)

Thirumurthy, Vinod Govindswamy

2010-01-01T23:59:59.000Z

70

Gateway:ECOWAS Clean Energy Gateway | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway ECOWAS Clean Energy Gateway Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo West Africa Organizations, Programs, and Tools Countries (15)

71

The Smithsonian American Art Museum GATEWAY Demonstration  

Broader source: Energy.gov [DOE]

View the video about using LEDs in a GATEWAY demonstration at the Smithsonian American Art Museum in Washington, DC, including an interview with lighting designer Scott Rosenfeld.

72

Gateway Ethanol LLC formerly Wildcat Bio Energy LLC | Open Energy...  

Open Energy Info (EERE)

Gateway Ethanol LLC formerly Wildcat Bio Energy LLC Jump to: navigation, search Name: Gateway Ethanol LLC (formerly Wildcat Bio-Energy LLC) Place: Pratt, Kansas Zip: 67124 Product:...

73

An Android-based body area network gateway for mobile health applications  

Science Journals Connector (OSTI)

This paper presents a Body Area Network (BAN) gateway to Android mobile phones for mobile health applications. The proposed approach is based on a Secure Digital Input Output (SDIO) interface, which allows for long-term monitoring since the mobile phone ... Keywords: Android, SDIO, body area networks, mHealth

Marco Altini; Julien Penders; Herman Roebbers

2010-10-01T23:59:59.000Z

74

A novel memory management scheme for residential gateways  

Science Journals Connector (OSTI)

Home gateways must manage services despite limited memory resources. In home gateway models (e.g., OSGi), services are implemented as software bundles (or plug-ins) that can be downloaded from the Internet and executed in the gateway. Services, in gateways, ... Keywords: Memory management, Pervasive computing, Smart homes

Ibrahim Kamel; Beizhong Chen

2009-11-01T23:59:59.000Z

75

The Neutron Science TeraGrid Gateway, a TeraGrid Science Gateway to Support the Spallation Neutron Source  

E-Print Network [OSTI]

1 The Neutron Science TeraGrid Gateway, a TeraGrid Science Gateway to Support the Spallation Neutron Source John W. Cobb* , Al Geist* , James A. Kohl* , Stephen D. Miller , Peter F. Peterson] is entering its operational phase. An ETF science gateway effort is the Neutron Science TeraGrid Gateway (NSTG

Vazhkudai, Sudharshan

76

Solid State Lighting: GATEWAY and CALiPER  

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

Marc Ledbetter Marc Ledbetter Pacific Northwest National Laboratory Marc.Ledbetter@pnnl.gov 503.417.7557 April 3, 2013 Solid State Lighting: GATEWAY & CALiPER Solid State Lighting: GATEWAY & CALiPER 2 | Building Technologies Office eere.energy.gov GATEWAY Problem Statement GATEWAY includes Muni Consortium Multi-Year Market Development Support Plan * IDs 5 key market barriers. Most relevant to GATEWAY are: - Lack of information for buyers and lighting professionals - High transaction costs

77

Solid State Lighting: GATEWAY and CALiPER  

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

Marc Ledbetter Marc Ledbetter Pacific Northwest National Laboratory Marc.Ledbetter@pnnl.gov 503.417.7557 April 3, 2013 Solid State Lighting: GATEWAY & CALiPER Solid State Lighting: GATEWAY & CALiPER 2 | Building Technologies Office eere.energy.gov GATEWAY Problem Statement GATEWAY includes Muni Consortium Multi-Year Market Development Support Plan * IDs 5 key market barriers. Most relevant to GATEWAY are: - Lack of information for buyers and lighting professionals - High transaction costs

78

ECONOMIC IMPACT OF THE APPALACHIAN GATEWAY  

E-Print Network [OSTI]

ECONOMIC IMPACT OF THE APPALACHIAN GATEWAY PROJECT By Randall A. Childs Bureau of Business and Economic Research College of Business and Economics West Virginia University United States where demand is strong. This report documents the economic impact of the Appalachian

Mohaghegh, Shahab

79

T-566: Citrix Secure Gateway Unspecified Vulnerability | Department of  

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

6: Citrix Secure Gateway Unspecified Vulnerability 6: Citrix Secure Gateway Unspecified Vulnerability T-566: Citrix Secure Gateway Unspecified Vulnerability February 28, 2011 - 11:22pm Addthis PROBLEM: Citrix Secure Gateway Unspecified Vulnerability. PLATFORM: Citrix Secure Gateway version 3.1.4 ABSTRACT: A vulnerability has been reported in Citrix Secure Gateway, which can be exploited by malicious people to compromise a vulnerable system. reference LINKS: Citrix ID:CTX128168 Secunia Advisory SA43497 Citrix Support IMPACT ASSESSMENT: High Discussion: This vulnerability only affects Secure Gateway version 3.1.4. Secure Gateway version 3.2.0 is not affected by this vulnerability, but Citrix recommends that customers currently using this version upgrade their deployments to version 3.2.1 in line with the guidance provided in

80

Alaska Gateway School District Adopts Combined Heat and Power...  

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

Alaska Gateway School District Adopts Combined Heat and Power Alaska Gateway School District Adopts Combined Heat and Power May 7, 2013 - 12:00am Addthis In Tok, Alaska, the...

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Text-Alternative Version: Smithsonian GATEWAY Demonstration Video  

Broader source: Energy.gov [DOE]

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

82

ARM-UAV Mission Gateway System  

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

ARM-UAV Mission Gateway System ARM-UAV Mission Gateway System S. T. Moore and S. Bottone Mission Research Corporation Santa Barbara, California Introduction The Atmospheric Radiation Measurement-unmanned aerospace vehicle (ARM-UAV) Mission Gateway System (MGS) is a new field support system for the recently reconfigured ARM-UAV payload. The MGS is responsible for the following critical tasks: * Provides an interface for command and control of the ARM-UAV payload during a flight. * Receives and displays mid-flight state of health information, to help ensure the integrity and safety of the payload. * Receives and displays data snapshots, averaged data, or sub-sampled data. * Provides a user configurable, moving map display to enable the Mission Controller and the science

83

Incorporating Job Predictions into the SEAGrid Science Gateway  

Science Journals Connector (OSTI)

This paper describes the process of incorporating predictions of job queue wait times and run times into a Science Gateway. Science Gateways that integrate multiple resources can use predictions of queue wait times and run times to advice users when ... Keywords: Science gateway, computational chemistry, queue prediction, run time prediction, scheduling

Ye Fan; Sudhakar Pamidighantam; Warren Smith

2014-07-01T23:59:59.000Z

84

Oil and Gas Gateway | Open Energy Information  

Open Energy Info (EERE)

Oil and Gas Gateway Oil and Gas Gateway Jump to: navigation, search Oil and Gas Companies The oil and gas industry is the largest energy industry in the world, with companies spanning the globe. The map below depicts the top oil companies. Anyone can add another company to this list. Add a new Oil and Gas Company Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

85

Wind Energy Data and Information Gateway (WENDI) | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Data and Information Gateway (WENDI) Wind Energy Data and Information Gateway (WENDI) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Energy Data and Information Gateway (WENDI) Agency/Company /Organization: United States Department of Energy, Oak Ridge National Laboratory Sector: Energy Focus Area: Wind Topics: Market analysis, Resource assessment, Technology characterizations Resource Type: Dataset, Maps Website: windenergy.ornl.gov/ References: Wind Energy Data and Information Gateway (WENDI)[1] Logo: Wind Energy Data and Information Gateway (WENDI) The WENDI Gateway is an integrated system for the archival, discovery, access, integration, and delivery of wind energy-related data and information. NOTE The WENDI Gateway has been discontinued due to an absence of funding. Oak

86

On the validity of Akasofus ? parameter and of the Vasyliunas et al. general formula for the rate of solar wind-magnetosphere energy input  

Science Journals Connector (OSTI)

The ? parameter of Akasofu and the general formula of Vasyliunas et al....(1982) have been widely used as functions representing the rate of the solar wind energy input into the Earths magnetosphere. These...B, ...

Takao Aoki

2005-02-01T23:59:59.000Z

87

Global Science Gateway Agreement Signed in London | Department of Energy  

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

Science Gateway Agreement Signed in London Science Gateway Agreement Signed in London Global Science Gateway Agreement Signed in London January 22, 2006 - 10:15am Addthis DOE Partners With British Library on "Science.world" Initiative LONDON, ENGLAND -- Dr. Raymond L. Orbach, Under Secretary for Science of the U.S. Department of Energy (DOE), yesterday signed an agreement with Lynne Brindley, Chief Executive, the British Library, to partner on the development of a global science gateway. The gateway would eventually make science information resources of many nations accessible via a single Internet portal. "It is timely to make the science offerings of all nations searchable through one global gateway," Dr. Orbach said. "Science is international, and centralizing access will enhance the rate of scientific discovery. It

88

The Northern gateway - pipeline protest in British Columbia, Canada.  

E-Print Network [OSTI]

??The Northern Gateway-Pipeline Protest in British Columbia, Canada Die vorliegende Forschung untersucht den Einfluss von Onlinemedien auf die Organisation von Umweltprotesten. Die Strukturierung von Onlineprotest (more)

Jnsch, Kathrin Loni

2014-01-01T23:59:59.000Z

89

Frequently Asked Questions About the Technology Demonstration GATEWAY Program  

Broader source: Energy.gov [DOE]

This page addresses many of the questions about the DOE Solid-State Lighting Technology Demonstration GATEWAY program raised by potential eligible participants, such as manufacturers, demonstration...

90

Student Gateway the student community page Making a contribution  

E-Print Network [OSTI]

Student Gateway ­ the student community page Making a contribution The Student Gateway (www.qub.ac.uk/studentinfo) is for the Queen's community to highlight services, information and events of interest to students. Members of the community (students and staff) can request that items are posted to either: University blog (`In the Know

91

Gateway:International/About | Open Energy Information  

Open Energy Info (EERE)

International/About International/About Jump to: navigation, search The International Clean Energy Analysis (ICEA) gateway seeks to catalyze the use of renewable energy and energy efficiency decision support tools to inform policy, program, and project development. Through a U.S. Department of Energy (DOE), National Renewable Energy Laboratory (NREL), and United Nations Industrial Development Organization (UNIDO) collaborative initiative, this community web portal will provide outreach and training programs to foster dissemination and application of analysis tools, with special emphasis on developing countries. It complements existing forums that provide technical information on clean energy policies and project development, with a unique focus on analysis tools and methods.

92

V-106: Citrix Access Gateway Unspecified Security Bypass Vulnerability |  

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

6: Citrix Access Gateway Unspecified Security Bypass 6: Citrix Access Gateway Unspecified Security Bypass Vulnerability V-106: Citrix Access Gateway Unspecified Security Bypass Vulnerability March 7, 2013 - 6:00am Addthis PROBLEM: A vulnerability has been reported in Citrix Access Gateway PLATFORM: Standard Edition 5.0.x prior to 5.0.4.223524. Versions 4.5.x and 4.6.x are not affected by this vulnerability ABSTRACT: A vulnerability has been reported in Citrix Access Gateway, which can be exploited by malicious people to bypass certain security restrictions. REFERENCE LINKS: Secunia Advisory SA52479 Security Tracker Alert ID 1028255 com/id/1028255 CVE-2013-2263 Citrix Knowledge Center IMPACT ASSESSMENT: High DISCUSSION: The vulnerability could allow an unauthenticated user to gain access to network resources. IMPACT:

93

User:GregZiebold/Gateway test | Open Energy Information  

Open Energy Info (EERE)

test test < User:GregZiebold Jump to: navigation, search List of Gateways (by category): {{#ask: [[Category:Gateways]] | format=ul }} América Latina Buildings Clean Energy Economy Coordinated Low Emissions Assistance Network (CLEAN) ECOWAS Clean Energy Gateway Geothermal Hydrogen Incentives and Policies International Clean Energy Analysis Low Emission Development Strategies Old Geothermal Gateway OldGeoGateway Smart Grid Solar U.S. OpenLabs Utilities Water Power Wind List of Gateways (by namespace): {{#ask: [[Gateway:+]]}} América Latina América Latina/Aprender más sobre las ERNC América Latina/Aprender más sobre las ERNC/Construcción y Montaje/Eolica América Latina/Aprender más sobre las ERNC/Estudios de Ingeniería y Selección de Equipos/Biomasa América Latina/Aprender más sobre las ERNC/Estudios de Ingeniería

94

Gateway:Low Emission Development Strategies | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » Gateway:Low Emission Development Strategies Jump to: navigation, search Leds-Graphics 03.PNG Low Emission Development Strategies (LEDS) Gateway This website supports the creation and implementation of country-driven, analytically rigorous low emission development strategies (LEDS). LEDS will enable countries to transition to low carbon economic development resulting in sustained growth in employment and investment, increased financial flows through carbon markets, reduced greenhouse gas (GHG) emissions, and other social, economic, and environmental benefits.

95

Gateway Energy (formerly Econnergy) | Open Energy Information  

Open Energy Info (EERE)

(formerly Econnergy) (formerly Econnergy) Jump to: navigation, search Name Gateway Energy Services Address 400 Rella Blvd., Suite 300 Place Montebello, New York Zip 10901 Sector Services Product Green Power Marketer Website http://www.gesc.com/ Coordinates 41.11592°, -74.105664° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.11592,"lon":-74.105664,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

96

T-544: Cisco Security Advisory: Cisco Content Services Gateway  

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

4: Cisco Security Advisory: Cisco Content Services Gateway 4: Cisco Security Advisory: Cisco Content Services Gateway Vulnerabilities T-544: Cisco Security Advisory: Cisco Content Services Gateway Vulnerabilities January 27, 2011 - 7:00am Addthis PROBLEM: Cisco Security Advisory: Cisco Content Services Gateway Vulnerabilities PLATFORM: Cisco IOS Software Release 12.4(24)MD1 on the Cisco CSG2 ABSTRACT: Cisco IOS Software Release 12.4(24)MD1 on the Cisco CSG2 contains two vulnerabilities that can be exploited by a remote, unauthenticated attacker to create a denial of service condition that prevents traffic from passing through the CSG2. These vulnerabilities require only a single content service to be active on the Cisco CSG2 and can be exploited via crafted TCP packets. A three-way handshake is not required to exploit either of these

97

Price of Northeast Gateway Natural Gas LNG Imports from Egypt...  

Gasoline and Diesel Fuel Update (EIA)

Egypt (Nominal Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports from Egypt (Nominal Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2...

98

Price of Northeast Gateway Natural Gas LNG Imports from Trinidad...  

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

and Tobago (Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports from Trinidad and Tobago (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1...

99

Price of Northeast Gateway Natural Gas LNG Imports (Dollars per...  

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

(Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

100

T-544: Cisco Security Advisory: Cisco Content Services Gateway  

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

4: Cisco Security Advisory: Cisco Content Services Gateway 4: Cisco Security Advisory: Cisco Content Services Gateway Vulnerabilities T-544: Cisco Security Advisory: Cisco Content Services Gateway Vulnerabilities January 27, 2011 - 2:04pm Addthis PROBLEM: Cisco Security Advisory: Cisco Content Services Gateway Vulnerabilities PLATFORM: Cisco IOS Software Release 12.4(24)MD1 on the Cisco CSG2 ABSTRACT: Cisco IOS Software Release 12.4(24)MD1 on the Cisco CSG2 contains two vulnerabilities that can be exploited by a remote, unauthenticated attacker to create a denial of service condition that prevents traffic from passing through the CSG2. These vulnerabilities require only a single content service to be active on the Cisco CSG2 and can be exploited via crafted TCP packets. A three-way handshake is not required to exploit either of these

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Gateway:Low Emission Development Strategies | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » Gateway:Low Emission Development Strategies (Redirected from Gateway:International/LEDS) Jump to: navigation, search Leds-Graphics 03.PNG Low Emission Development Strategies (LEDS) Gateway This website supports the creation and implementation of country-driven, analytically rigorous low emission development strategies (LEDS). LEDS will enable countries to transition to low carbon economic development resulting in sustained growth in employment and investment, increased financial flows through carbon markets, reduced greenhouse gas (GHG) emissions, and other social, economic, and environmental benefits.

102

Solid-State Lighting: Solid-State Lighting GATEWAY Demonstration Results  

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

Solid-State Lighting GATEWAY Solid-State Lighting GATEWAY Demonstration Results to someone by E-mail Share Solid-State Lighting: Solid-State Lighting GATEWAY Demonstration Results on Facebook Tweet about Solid-State Lighting: Solid-State Lighting GATEWAY Demonstration Results on Twitter Bookmark Solid-State Lighting: Solid-State Lighting GATEWAY Demonstration Results on Google Bookmark Solid-State Lighting: Solid-State Lighting GATEWAY Demonstration Results on Delicious Rank Solid-State Lighting: Solid-State Lighting GATEWAY Demonstration Results on Digg Find More places to share Solid-State Lighting: Solid-State Lighting GATEWAY Demonstration Results on AddThis.com... LED Lighting Facts CALiPER Program Standards Development Technical Information Network Gateway Demonstrations FAQs Results

103

Fact #672: April 25, 2011 Freight Gateways in the U.S. | Department...  

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

Supporting Information Top 25 Foreign-Trade Gateways by Value, 2008 Gateway Route Type Rank Exports Imports Total (Billion U.s. Dollars) New York, NY Water 1 51 138.5 189.5 Los...

104

U-020: McAfee Web Gateway Web Access Cross Site Scripting Vulnerabilit...  

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

U-020: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability U-020: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability October 26, 2011 - 9:00am Addthis...

105

Gateway:Incentives and Policies | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » Gateway:Incentives and Policies (Redirected from Gateway:Incentives) Jump to: navigation, search Incentives and Policies for Renewable Energy and Energy Efficiency Renewables & Energy Efficiency Incentives and Policies by State Click on a state to view summaries included from the Database of State Incentives for Renewables & Efficiency (DSIRE) for that state. A separate map is available for summaries included in the Eastern Interconnect Energy Zones Policy Inventory. Help Improve the Policy Databases Are we missing something? Do you see an entry that needs updates?

106

Clyde Gateway (Smart Grid Project) | Open Energy Information  

Open Energy Info (EERE)

Clyde Gateway (Smart Grid Project) Clyde Gateway (Smart Grid Project) Jump to: navigation, search Project Name Clyde Gateway Country United Kingdom Coordinates 55.378052°, -3.435973° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.378052,"lon":-3.435973,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

107

A Reference Design for Residential Energy Gateways: Development and  

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

A Reference Design for Residential Energy Gateways: Development and A Reference Design for Residential Energy Gateways: Development and Implications Speaker(s): Daniel Arnold Date: October 28, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page Recent advances in communications, policy, and the installation of smart meters in residences across America has opened the realm of the residence to the possibility of advanced electrical load monitoring and control. With no concrete standards or roadmaps governing communications and capabilities, a fractured market of Gateways, IHDs (In Home Displays), load control switches, and smart appliances has emerged in an attempt to take advantage of this burgeoning opportunity. What results from this mixture is a lack of interoperability amongst products, which limits consumer

108

ECOWAS Clean Energy Gateway-Transportation | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-Transportation ECOWAS Clean Energy Gateway-Transportation Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Introduction→ Step 1 Step 2 Step 3 Step 4

109

DOE Announces International Agreement on Global Science Online Gateway |  

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

Announces International Agreement on Global Science Online Announces International Agreement on Global Science Online Gateway DOE Announces International Agreement on Global Science Online Gateway June 12, 2008 - 1:30pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced the establishment of a multilateral alliance to govern the rapidly growing online gateway to international scientific research information--WorldWideScience.org. Officials from organizations representing 38 countries formalized their commitment today in Seoul, Korea, by signing a WorldWideScience Alliance agreement to sustain and build upon joint efforts to provide a single, sophisticated point of access for diverse scientific resources and expertise from nations around the world. "WorldWideScience.org is already a wonderful tool for communication,

110

ECOWAS Clean Energy Gateway-About | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-About ECOWAS Clean Energy Gateway-About Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo The ECOWAS Centre for Renewable Energy and Energy Efficiency (ECREEE) is

111

Global Science Gateway Now Open | Department of Energy  

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

Now Open Now Open Global Science Gateway Now Open June 22, 2007 - 2:07pm Addthis WorldWideScience.org opens public access to more than 200 million pages of international research information WASHINGTON, DC-The U.S. Department of Energy (DOE) and the British Library, along with eight other participating countries, today opened an online global gateway to science information from 15 national portals. The gateway, WorldWideScience.org, gives citizens, researchers and anyone interested in science the capability to search science portals not easily accessible through popular search technology such as that deployed by Google, Yahoo! and many other commercial search engines. "Scientific research results are archived globally in a plethora of sources, many unknown and unreachable through usual search engines," Dr.

112

ECOWAS Clean Energy Gateway-Organizations and Networks | Open Energy  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-Organizations and Networks ECOWAS Clean Energy Gateway-Organizations and Networks Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Registered Technical and Research Organizations

113

West African Clean Energy Gateway-Resource Assessment | Open Energy  

Open Energy Info (EERE)

African Clean Energy Gateway-Resource Assessment African Clean Energy Gateway-Resource Assessment Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo SWERA-thumb.jpg The SWERA landing page allows for the quick browsing of global data layers.

114

DOE Announces International Agreement on Global Science Online Gateway |  

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

International Agreement on Global Science Online International Agreement on Global Science Online Gateway DOE Announces International Agreement on Global Science Online Gateway June 12, 2008 - 1:30pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced the establishment of a multilateral alliance to govern the rapidly growing online gateway to international scientific research information--WorldWideScience.org. Officials from organizations representing 38 countries formalized their commitment today in Seoul, Korea, by signing a WorldWideScience Alliance agreement to sustain and build upon joint efforts to provide a single, sophisticated point of access for diverse scientific resources and expertise from nations around the world. "WorldWideScience.org is already a wonderful tool for communication,

115

Gateway Discovery Algorithm for Ad-Hoc Networks Using HELLO Messages Matthias Rosenschon a  

E-Print Network [OSTI]

Gateway Discovery Algorithm for Ad-Hoc Networks Using HELLO Messages Matthias Rosenschon studied in the literature up to now. This paper describes an approach for gateway discovery based on HELLO-hoc networks, MANET, gateway discovery, AODV, HELLO packets 1. INTRODUCTION Multihop wireless access networks

Rakocevic, Veselin

116

REEGLE - Clean Energy Information Gateway | Open Energy Information  

Open Energy Info (EERE)

REEGLE - Clean Energy Information Gateway REEGLE - Clean Energy Information Gateway (Redirected from Reegle Search Engine for Renewable Energy and Energy Efficiency) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: reegle.info - clean energy information portal Agency/Company /Organization: Renewable Energy and Energy Efficiency Partnership (REEEP) Sector: Climate, Energy Focus Area: Renewable Energy, Biomass, Energy Efficiency, People and Policy, Solar, Wind Phase: Evaluate Options, Prepare a Plan, Develop Finance and Implement Projects Topics: Background analysis, Implementation, Low emission development planning, -LEDS, Policies/deployment programs Resource Type: Dataset, Maps, Publications Website: www.reegle.info/ Web Application Link: www.reegle.info/ RelatedTo: REEEP Toolkits

117

OpenEI:Old Geothermal Gateway | Open Energy Information  

Open Energy Info (EERE)

Gateway Gateway Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Geothermalpower.jpg GeoInfo.png Geothermal Information Geothermal Energy Overview Types of Geothermal Resources Energy Conversion Technologies Cooling Technologies Exploration Techniques Reference Materials GeoModels.png Geothermal Models & Tools GETEM SAM Geothermal Prospector Exploration Cost and Time Metric Georesource.png Resource Assessments USGS Maps (2008) Geothermal Resource Potential Map Geothermal Areas Geothermal Regions Installed.png Installed & Planned Capacity Geothermal Generation Installed Capacity Planned Capacity Geofinancing.png Geothermal Financing Developers' Financing Handbook RE Project Finance CREST HOMER REFTI GeoR&D.png Geothermal RD&D Enhanced Geothermal Systems

118

PHE publications gateway number: 2014299 Published: August 2014  

E-Print Network [OSTI]

PHE publications gateway number: 2014299 Published: August 2014 Ebola: advice and risk assessment for universities and further educational establishments There is currently an outbreak of Ebola Virus Disease in that country). Ebola is a rare but serious viral infection. However, people in the UK are not at risk of Ebola

Strathclyde, University of

119

Expanding Home Services with Advanced Gateways Jon Whiteaker  

E-Print Network [OSTI]

and telephony to video-on-demand (VoD), on- line gaming, and home automation. At home, Internet ac- cessExpanding Home Services with Advanced Gateways Jon Whiteaker jbw@berkeley.edu Fabian Schneider services at home. ISPs propose fulfilling this demand with a cloud delivery model, which would simplify

Paris-Sud XI, Université de

120

ECO-GATEWAY! AUCKLAND'S EMERGING ROLE AS AN ECOTOURISM DESTINATION  

E-Print Network [OSTI]

1 ECO-GATEWAY! AUCKLAND'S EMERGING ROLE AS AN ECOTOURISM DESTINATION Chloe K. H. Lau* and Charles S.johnston@aut.ac.nz INTRODUCTION According to the World Tourism Organization (WTO), ecotourism is the fastest growing market within well documented is the growth of the supply of ecotourism resources and products. New Zealand

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Eocene cooling linked to early flow across the Tasmanian Gateway  

Science Journals Connector (OSTI)

...culminated in the onset of large-scale glaciation...transport was not much larger than todays transport...Gateway. Integrated Ocean Drilling Program (IODP) Expedition...Organization, Integrated Ocean Drilling Program, Texas A&M...Aachen, Germany; c Borehole Research Group...

Peter K. Bijl; James A. P. Bendle; Steven M. Bohaty; Jrg Pross; Stefan Schouten; Lisa Tauxe; Catherine E. Stickley; Robert M. McKay; Ursula Rhl; Matthew Olney; Appy Sluijs; Carlota Escutia; Henk Brinkhuis; Expedition 318 Scientists

2013-01-01T23:59:59.000Z

122

St. Louis Sites Fact Sheet "Gateway to Excellence"  

E-Print Network [OSTI]

District, Corps of Engineers, FUSRAP Project Office, 8945 Latty Avenue, Berkeley, Missouri 63134 #12;theSt. Louis Sites Fact Sheet ARARs "Gateway to Excellence" U.S. Army Corps of Engineers St. Louis presented by the contaminants at the site, unless a waiver is granted. Put another way, an ARAR is

US Army Corps of Engineers

123

St. Louis Sites Fact Sheet "Gateway to Excellence"  

E-Print Network [OSTI]

of Engineers, FUSRAP Project Office, 8945 Latty Avenue, Berkeley, Missouri 63134 #12;The actual removal of the St. Louis FUSRAP Sites under CERCLA. Let's look at each of these in turn. SAMPLING (PRESt. Louis Sites Fact Sheet CLEANUP "Gateway to Excellence" U.S. Army Corps of Engineers St. Louis

US Army Corps of Engineers

124

St. Louis Sites Fact Sheet "Gateway to Excellence"  

E-Print Network [OSTI]

District, Corps of Engineers, FUSRAP Project Office, 8945 Latty Avenue, Berkeley, Missouri 63134 #12St. Louis Sites Fact Sheet RELEASE "Gateway to Excellence" U.S. Army Corps of Engineers St. Louis for four Missouri sites (SLDS, SLAPS, SLAPS VPs, HISS). These sites contain soils contaminated with radium

US Army Corps of Engineers

125

U-225: Citrix Access Gateway Plug-in for Windows nsepacom ActiveX Control  

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

5: Citrix Access Gateway Plug-in for Windows nsepacom ActiveX 5: Citrix Access Gateway Plug-in for Windows nsepacom ActiveX Control Vulnerabilities U-225: Citrix Access Gateway Plug-in for Windows nsepacom ActiveX Control Vulnerabilities August 1, 2012 - 5:37am Addthis PROBLEM: Citrix Access Gateway Plug-in for Windows nsepacom ActiveX Control Vulnerabilities PLATFORM: Citrix Access Gateway 9.x ABSTRACT: Two vulnerabilities in Citrix Access Gateway Plug-in for Windows can be exploited by malicious people to compromise a user's system. reference LINKS: Citrix Knowledge Center Secunia Advisory SA45299 Secunia Research Secunia Research CVE-2011-2592 CVE-2011-2593 IMPACT ASSESSMENT: High Discussion: Research has discovered two vulnerabilities in Citrix Access Gateway Plug-in for Windows, which can be exploited by malicious people to

126

Refiner Crude Oil Inputs  

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

Day) Refiner Percent Operable Utilization Net Inputs (Refiner and Blender) of Motor Gasoline Blending Comp Net Inputs (Refiner and Blender) of RBOB Blending Components Net...

127

Gateway:Incentives and Policies | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » Gateway:Incentives and Policies Jump to: navigation, search Incentives and Policies for Renewable Energy and Energy Efficiency Renewables & Energy Efficiency Incentives and Policies by State Click on a state to view summaries included from the Database of State Incentives for Renewables & Efficiency (DSIRE) for that state. A separate map is available for summaries included in the Eastern Interconnect Energy Zones Policy Inventory. Help Improve the Policy Databases Are we missing something? Do you see an entry that needs updates? Click on the "add new" links below, enter suggested edits into existing

128

ECOWAS Clean Energy Gateway-Help | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Help Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

129

ECOWAS Clean Energy Gateway-Technology Data | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Technology Data Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

130

REEGLE - Clean Energy Information Gateway | Open Energy Information  

Open Energy Info (EERE)

REEGLE - Clean Energy Information Gateway REEGLE - Clean Energy Information Gateway Jump to: navigation, search Tool Summary LAUNCH TOOL Name: reegle.info - clean energy information portal Agency/Company /Organization: Renewable Energy and Energy Efficiency Partnership (REEEP) Sector: Climate, Energy Focus Area: Renewable Energy, Biomass, Energy Efficiency, People and Policy, Solar, Wind Phase: Evaluate Options, Prepare a Plan, Develop Finance and Implement Projects Topics: Background analysis, Implementation, Low emission development planning, -LEDS, Policies/deployment programs Resource Type: Dataset, Maps, Publications Website: www.reegle.info/ Web Application Link: www.reegle.info/ RelatedTo: REEEP Toolkits Cost: Free OpenEI Keyword(s): energy data, policy, regulation, open data, LOD, tagging

131

ECOWAS Clean Energy Gateway-Finance | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Finance Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

132

ECOWAS Clean Energy Gateway-Links | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Links Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo

133

V-225: McAfee Email Gateway SMTP Processing Flaw Lets Remote Users Deny  

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

5: McAfee Email Gateway SMTP Processing Flaw Lets Remote Users 5: McAfee Email Gateway SMTP Processing Flaw Lets Remote Users Deny Service V-225: McAfee Email Gateway SMTP Processing Flaw Lets Remote Users Deny Service August 23, 2013 - 1:26am Addthis PROBLEM: A vulnerability was reported in McAfee Email Gateway. A remote user can cause denial of service conditions. PLATFORM: McAfee Email Gateway (MEG) 7.5 ABSTRACT: A remote user can cause the SMTP proxy to stop responding. REFERENCE LINKS: SecurityTracker Alert ID: 1028941 GENERIC-MAP-NOMATCH IMPACT ASSESSMENT: High DISCUSSION: A vulnerability was reported in McAfee Email Gateway. A remote user can cause denial of service conditions.A remote user can send a specially crafted e-mail to cause the ws_inv-smtp process to enter an infinite loop and cause the target SMTP proxy to stop responding.

134

U-020: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability |  

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

0: McAfee Web Gateway Web Access Cross Site Scripting 0: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability U-020: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability October 26, 2011 - 9:00am Addthis PROBLEM: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability. PLATFORM: The vulnerability is reported in versions prior to 7.1.5.2. ABSTRACT: Cross-Site Scripting vulnerabilities allow a third party to manipulate the content or behavior of a web application in a user's browser, without compromising the underlying system. Attackers can exploit this issue by enticing an unsuspecting user to follow a malicious URI. reference LINKS: McAfee Web Gateway Release Notes Bugtraq ID: 50341 Secunia Advisory: SA46570 IMPACT ASSESSMENT: Medium Discussion: A vulnerability has been reported in McAfee Web Gateway, which can be

135

STAY INFORMED! Bridge: www.uleth.ca/bridge (Gateway to important resources, page 4)  

E-Print Network [OSTI]

Fall 2014 STAY INFORMED! Bridge: www.uleth.ca/bridge (Gateway to important resources, page 4 ...................................................................................... 4 The Bridge .................................................................................. 4 Logging in to the Bridge........................................................... 4 Paying

Morris, Joy

136

The Neutron Science TeraGrid Gateway, a TeraGrid Science Gateway to Support the Spallation Neutron Source  

SciTech Connect (OSTI)

The National Science Foundation's (NSF's) Extensible Terascale Facility (ETF), or TeraGrid [1] is entering its operational phase. An ETF science gateway effort is the Neutron Science TeraGrid Gateway (NSTG.) The Oak Ridge National Laboratory (ORNL) resource provider effort (ORNL-RP) during construction and now in operations is bridging a large scale experimental community and the TeraGrid as a large-scale national cyberinfrastructure. Of particular emphasis is collaboration with the Spallation Neutron Source (SNS) at ORNL. The U.S. Department of Energy's (DOE's) SNS [2] at ORNL will be commissioned in spring of 2006 as the world's brightest source of neutrons. Neutron science users can run experiments, generate datasets, perform data reduction, analysis, visualize results; collaborate with remotes users; and archive long term data in repositories with curation services. The ORNL-RP and the SNS data analysis group have spent 18 months developing and exploring user requirements, including the creation of prototypical services such as facility portal, data, and application execution services. We describe results from these efforts and discuss implications for science gateway creation. Finally, we show incorporation into implementation planning for the NSTG and SNS architectures. The plan is for a primarily portal-based user interaction supported by a service oriented architecture for functional implementation.

Cobb, John W [ORNL; Geist, Al [ORNL; Kohl, James Arthur [ORNL; Miller, Stephen D [ORNL; Peterson, Peter F [ORNL; Pike, Gregory [ORNL; Reuter, Michael A [ORNL; Swain, William [ORNL; Vazhkudai, Sudharshan S [ORNL; Vijayakumar, Nithya N [ORNL

2006-01-01T23:59:59.000Z

137

Automatic input rectification  

E-Print Network [OSTI]

We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. ...

Long, Fan

138

Automatic Input Rectification  

E-Print Network [OSTI]

We present a novel technique, automatic input rectification, and a prototype implementation called SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process ...

Long, Fan

2011-10-03T23:59:59.000Z

139

TART input manual  

SciTech Connect (OSTI)

The TART code is a Monte Carlo neutron/photon transport code that is only on the CRAY computer. All the input cards for the TART code are listed, and definitions for all input parameters are given. The execution and limitations of the code are described, and input for two sample problems are given. (WHK)

Kimlinger, J.R.; Plechaty, E.F.

1982-04-01T23:59:59.000Z

140

RCUK Gateway to Research GTR-2 API Page 1 of 10  

E-Print Network [OSTI]

RCUK Gateway to Research GTR-2 API Page 1 of 10 GATEWAY TO RESEARCH API 2 Version: 1.3 draft Published: 19/11/2013 EXECUTIVE SUMMARY This document contains a technical summary of the GTR-2 API released to the GTR Beta system in November 2013. Other APIs have been available since March 2013 and are described

Berzins, M.

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

OpenEI:OldGeoGateway | Open Energy Information  

Open Energy Info (EERE)

Project page Project page Edit History Facebook icon Twitter icon » OpenEI:OldGeoGateway Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Geothermalpower.jpg GeoInfo.png Geothermal Information Geothermal Energy Overview Types of Geothermal Resources Energy Conversion Technologies Cooling Technologies Exploration Techniques Reference Materials GeoModels.png Geothermal Models & Tools GETEM SAM Geothermal Prospector Exploration Cost and Time Metric Georesource.png Resource Assessments USGS Maps (2008) Geothermal Resource Potential Map Geothermal Areas Geothermal Regions Installed.png Installed & Planned Capacity Geothermal Generation Installed Capacity Planned Capacity Geofinancing.png Geothermal Financing Developers' Financing Handbook RE Project Finance CREST

142

Gateway:Low Emission Development Strategies | Open Energy Information  

Open Energy Info (EERE)

Low Emission Development Strategies Low Emission Development Strategies (Redirected from Low Emission Development Strategies) Jump to: navigation, search Leds-Graphics 03.PNG Low Emission Development Strategies (LEDS) Gateway This website supports the creation and implementation of country-driven, analytically rigorous low emission development strategies (LEDS). LEDS will enable countries to transition to low carbon economic development resulting in sustained growth in employment and investment, increased financial flows through carbon markets, reduced greenhouse gas (GHG) emissions, and other social, economic, and environmental benefits. The resources here are designed to help you create your own LEDS. We've assembled several toolkits and resources and a sample process for developing a LEDS based on proven best practices. The process is depicted in the diagram to your left, which also lets you navigate through the site. Start with the overview of the LEDS process, or go directly to one of the five major process phases:

143

ECOWAS Clean Energy Gateway-News | Open Energy Information  

Open Energy Info (EERE)

News News Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Regional News Renewable Energy News Today-West Africa Renewable Energy News Failed to load RSS feed from http://renewableenergy.einnews.com/xml/west-africa/: Error fetching URL: Operation timed out after 5000 milliseconds with 0 bytes received

144

Gateway:Low Emission Development Strategies | Open Energy Information  

Open Energy Info (EERE)

Low Emission Development Strategies Low Emission Development Strategies (Redirected from LEDS Pathways Analysis) Jump to: navigation, search Leds-Graphics 03.PNG Low Emission Development Strategies (LEDS) Gateway This website supports the creation and implementation of country-driven, analytically rigorous low emission development strategies (LEDS). LEDS will enable countries to transition to low carbon economic development resulting in sustained growth in employment and investment, increased financial flows through carbon markets, reduced greenhouse gas (GHG) emissions, and other social, economic, and environmental benefits. The resources here are designed to help you create your own LEDS. We've assembled several toolkits and resources and a sample process for developing a LEDS based on proven best practices. The process is depicted in the diagram to your left, which also lets you navigate through the site. Start with the overview of the LEDS process, or go directly to one of the five major process phases:

145

Gateway:Low Emission Development Strategies | Open Energy Information  

Open Energy Info (EERE)

Low Emission Development Strategies Low Emission Development Strategies (Redirected from LEDS) Jump to: navigation, search Leds-Graphics 03.PNG Low Emission Development Strategies (LEDS) Gateway This website supports the creation and implementation of country-driven, analytically rigorous low emission development strategies (LEDS). LEDS will enable countries to transition to low carbon economic development resulting in sustained growth in employment and investment, increased financial flows through carbon markets, reduced greenhouse gas (GHG) emissions, and other social, economic, and environmental benefits. The resources here are designed to help you create your own LEDS. We've assembled several toolkits and resources and a sample process for developing a LEDS based on proven best practices. The process is depicted in the diagram to your left, which also lets you navigate through the site. Start with the overview of the LEDS process, or go directly to one of the five major process phases:

146

T-663: Cisco Content Services Gateway ICMP Processing Flaw Lets Remote  

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

3: Cisco Content Services Gateway ICMP Processing Flaw Lets 3: Cisco Content Services Gateway ICMP Processing Flaw Lets Remote Users Deny Service T-663: Cisco Content Services Gateway ICMP Processing Flaw Lets Remote Users Deny Service July 7, 2011 - 12:41pm Addthis PROBLEM: A denial of service (DoS) vulnerability exists in the Cisco Content Services Gateway - Second Generation, that runs on the Cisco Service and Application Module for IP (SAMI). An unauthenticated, remote attacker could exploit this vulnerability by sending a series of crafted ICMP packets to an affected device. Exploitation could cause the device to reload. There are no workarounds available to mitigate exploitation of this vulnerability other than blocking ICMP traffic destined to the affected device. PLATFORM: Second Generation only Cisco IOS 12.4(24)MDA3,Cisco IOS 12.4(24)MDA3,Cisco

147

Price of Gulf Gateway Natural Gas LNG Imports from Trinidad and...  

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

Trinidad and Tobago (Dollars per Thousand Cubic Feet) Price of Gulf Gateway Natural Gas LNG Imports from Trinidad and Tobago (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1...

148

Manufacturing recovery : a networked approach to green job creation in Massachusetts Gateway cities  

E-Print Network [OSTI]

In this thesis, I compare workforce development planning in Lawrence and Lowell, Massachusetts, two of the state's older industrial "Gateway" cities. I specifically examine local planning processes around job creation in ...

Leavy-Sperounis, Marianna (Marianna Breakstone)

2010-01-01T23:59:59.000Z

149

VIDEO TRANSCODING GATEWAY FOR WIRELESS VIDEO ACCESS Zhijun Lei, Nicolas D. Georganas  

E-Print Network [OSTI]

-000 - VIDEO TRANSCODING GATEWAY FOR WIRELESS VIDEO ACCESS Zhijun Lei, Nicolas D. Georganas several typical video transcoding architectures and major applications of video transcoding. We identify issues involved in access video streams through handheld devices and wireless networks. To handle

Ottawa, University of

150

Modeling and Detection of Content and Packet Flow Anomalies at Enterprise Network Gateway  

E-Print Network [OSTI]

This dissertation investigates modeling techniques and computing algorithms for detection of anomalous contents and traffic flows of ingress Internet traffic at an enterprise network gateway. Anomalous contents refer to a large volume of ingress...

Lin, Sheng-Ya

2013-02-12T23:59:59.000Z

151

V-225: McAfee Email Gateway SMTP Processing Flaw Lets Remote...  

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

IMPACT: Denial of service via network SOLUTION: The vendor has issued a fix (7.5 Patch 1). Addthis Related Articles U-244: McAfee Email Gateway Lets Remote Users Bypass...

152

Webinar: 20K Hour GATEWAY Testing Results for I-35W Bridge  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy has released a GATEWAY Demonstration report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September...

153

U-244: McAfee Email Gateway Lets Remote Users Bypass Authentication and  

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

44: McAfee Email Gateway Lets Remote Users Bypass Authentication 44: McAfee Email Gateway Lets Remote Users Bypass Authentication and Conduct Cross-Site Scripting and Directory Traversal Attacks U-244: McAfee Email Gateway Lets Remote Users Bypass Authentication and Conduct Cross-Site Scripting and Directory Traversal Attacks August 27, 2012 - 7:00am Addthis PROBLEM: McAfee Email Gateway Lets Remote Users Bypass Authentication and Conduct Cross-Site Scripting and Directory Traversal Attacks PLATFORM: McAfee Email Gateway (MEG) 7.0.0 and 7.0.1 (MEG 6.7.x is NOT affected.) McAfee Email and Web Security (EWS) 5.6 Patch 3 and earlier McAfee Email and Web Security (EWS) 5.5 Patch 6 and earlier ABSTRACT: Several vulnerabilities were reported in McAfee Email Gateway. reference LINKS: McAfee Security Bulletin ID: SB10026 SecurityTracker Alert ID: 1027444

154

U-244: McAfee Email Gateway Lets Remote Users Bypass Authentication and  

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

4: McAfee Email Gateway Lets Remote Users Bypass Authentication 4: McAfee Email Gateway Lets Remote Users Bypass Authentication and Conduct Cross-Site Scripting and Directory Traversal Attacks U-244: McAfee Email Gateway Lets Remote Users Bypass Authentication and Conduct Cross-Site Scripting and Directory Traversal Attacks August 27, 2012 - 7:00am Addthis PROBLEM: McAfee Email Gateway Lets Remote Users Bypass Authentication and Conduct Cross-Site Scripting and Directory Traversal Attacks PLATFORM: McAfee Email Gateway (MEG) 7.0.0 and 7.0.1 (MEG 6.7.x is NOT affected.) McAfee Email and Web Security (EWS) 5.6 Patch 3 and earlier McAfee Email and Web Security (EWS) 5.5 Patch 6 and earlier ABSTRACT: Several vulnerabilities were reported in McAfee Email Gateway. reference LINKS: McAfee Security Bulletin ID: SB10026 SecurityTracker Alert ID: 1027444

155

NUPlans Budgeting Grant Input View  

E-Print Network [OSTI]

NUPlans Budgeting Grant Input View FMS704 NUPlansGrantInputViewV2 Last updated 4/7/2014 - rb © 2014 Northwestern University FMS704 NUPlans Contributor Budgeting 1 of 5 NUPlans Grant Input View NUPlans enables schools and units with grant projects to input grant expense estimates per project for the next fiscal

Shull, Kenneth R.

156

Implementing Ad Hoc to Terrestrial Network Gateways Jonathan McGee, Manish Karir, and John S. Baras  

E-Print Network [OSTI]

Implementing Ad Hoc to Terrestrial Network Gateways Jonathan McGee, Manish Karir, and John S. Baras we describe our experience of implementing a gateway between ad hoc and terrestrial routing protocols terrestrial network interface and MAODV on a wireless ad hoc network interface.Although we focus primarily

Baras, John S.

157

Physical Posters as Gateways to Context-aware Services for Mobile Devices Enrico Rukzio, Albrecht Schmidt, Heinrich Hussmann  

E-Print Network [OSTI]

Physical Posters as Gateways to Context-aware Services for Mobile Devices Enrico Rukzio, Albrecht of physical posters as gateways to mobile services that are related to advertisements and information presented on these posters. In our approach the user can interact through a mobile device with services

158

AC 2010-1659: IMPLEMENTING PEER LED TEAM LEARNING IN GATEWAY SCIENCE AND MATHEMATICS COURSES FOR ENGINEERING MAJORS  

E-Print Network [OSTI]

AC 2010-1659: IMPLEMENTING PEER LED TEAM LEARNING IN GATEWAY SCIENCE AND MATHEMATICS COURSES Led Team Learning in Gateway Science and Mathematics Courses for Engineering Majors Abstract The large chemistry course, we have implemented workshops based on the Peer Led Team Learning (PLTL) model

Knaust, Helmut

159

OpenEI launches new Water Power Gateway and Community Forum | OpenEI  

Open Energy Info (EERE)

Skip to Main Content Area Skip to Main Content Area Wiki Apps Datasets Community Home Groups Community Central Green Button Applications Developer Utility Rate FRED: FRee Energy Database More Public Groups Private Groups Features Groups Blog posts Content Stream Documents Discussions Polls Q & A Events Notices My stuff Energy blogs Login | Sign Up Search Facebook icon Twitter icon » OpenEI launches new Water Power Gateway and Community Forum Home > Groups > Water Power Forum Graham7781's picture Submitted by Graham7781(1992) Super contributor 28 March, 2013 - 15:16 community forum gateway OpenEI Water power OpenEI has launched a new Water Power Gateway, which contains links to critical public data sets, up-to-date information on technologies and events, a community forum to discuss topics of interest, links to major

160

ECOWAS Clean Energy Gateway-Policy/ProgramDesign | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-Policy/ProgramDesign ECOWAS Clean Energy Gateway-Policy/ProgramDesign Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Background → Design → Implementation →

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets  

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

OpenMSI: A Science OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 | Tags: Basic Energy Sciences (BES), Carver, Computer Science, Dirac, Hopper, Life Sciences, Science Gateways, Visualization Group Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov OpenMSINERSC.jpg This overlay of mass spectrometry images shows the spatial distribution of three different kind of lipids across a whole mouse cross-section. Lipids act as the structural components of cell membranes and are responsible for energy storage, among other things. Image credit: Wolfgang Reindl (Berkeley Lab). Using cutting-edge mass spectrometry imaging (MSI) technology, scientists can study tissues, cell cultures and bacterial colonies in unprecedented

162

Shattuck Lecture: A Molecular Basis for Nicotine as a Gateway Drug  

Science Journals Connector (OSTI)

...drug that lowers the threshold for addiction to other agents) has loomed large. Both opponents and proponents of legalization have distorted what science does and does not tell us and both sides have overlooked the importance of nicotine as a gateway drug. Epidemiologic studies have shown that nicotine... Nearly all cocaine users are also smokers. Nicotine serves as a gateway drug to cocaine abuse. The Shattuck lecturers, Eric Kandel and Denise Kandel, reveal molecular pathways that explain the role of nicotine in enhancing cocaine effects.

Kandel E.R.; Kandel D.B.

2014-09-04T23:59:59.000Z

163

Prioritization Tool Measurement Input Form  

Broader source: Energy.gov [DOE]

BTO encourages stakeholders to recommend updates and improvements to the Prioritization Tool by using the below Measure Input Form.

164

T-546: Microsoft MHTML Input Validation Hole May Permit Cross...  

Office of Environmental Management (EM)

vulnerability to allow an attacker to inject a client-side script in the response of a Web request run in the context of the victim's Internet Explorer. The script could spoof...

165

V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated...  

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

or userGrant) can send specially crafted data via the web interface or XMLRPC API to gain additional administrative privileges. IMPACT: A remote authenticated user can...

166

T-670: Skype Input Validation Flaw in 'mobile phone' Profile...  

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

affected. Skype has now confirmed it is aware of the hole and has already developed a patch to be published within the next week. Skype provides a plausible explanation as to why...

167

U-238: HP Service Manager Input Validation Flaw Permits Cross...  

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

9.21, 9.30 ABSTRACT: Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers...

168

Using Web Service Gateways and Code Generation for Sustainable IoT System Development  

E-Print Network [OSTI]

use case this paper shows how we hope to make equally sustainable IoT solutions by employing a modelUsing Web Service Gateways and Code Generation for Sustainable IoT System Development Till Riedel+ years may especially profit from an Internet of Things. Motivated by a practical industrial servicing

Beigl, Michael

169

Procedures as a Gateway to Spacecraft Autonomy David Kortenkamp and R. Peter Bonasso and Debra Schreckenghost  

E-Print Network [OSTI]

Procedures as a Gateway to Spacecraft Autonomy David Kortenkamp and R. Peter Bonasso and Debra@jsc.nasa.gov Abstract This paper examines the role of procedures in operating crewed spacecraft and how procedures can serve as an entry point for spacecraft autonomy. Procedures repre- sent the knowledge necessary

Kortenkamp, David

170

A semi-analytical model of barotropic and baroclinic flows for an open Panama Gateway  

Science Journals Connector (OSTI)

A semi-analytical model of the Panama throughflow is presented. The model expresses the throughflow transport as a function of deep water formation in the North Pacific and in the North Atlantic, and of the Panama Gateway depth. The model is derived from the integral of the momentum equation along a circumpolar path, and can be interpreted from the point of view of the vorticity balance. The important conditions are whether the deep water, whose location is considered to be above the bottom water formed around Antarctica, originates from the North Atlantic or from the North Pacific, and whether the Panama Gateway is shallower than the lower boundary of the deep water. The present model indicates that the barotropic transport through the Panama Gateway is eastward, except for the case where the deep water is formed in the North Pacific and the sill of the Panama Gateway is shallow. The baroclinic structure of the Panama throughflow depends on whether the deep water is formed in the North Pacific or in the North Atlantic. These qualitative implications of the model are consistent with recent numerical studies and proxy-based paleoceanographic studies. Numerical experiments performed in the present study reinforce confidence in the semi-analytical model.

Hiroshi Sumata; Shoshiro Minobe; Tatsuo Motoi; Wing-Le Chan

2010-01-01T23:59:59.000Z

171

Data Validation  

Science Journals Connector (OSTI)

Data validation is aprocess which ensures the correctness of data, reduces database error rate and ensures an acceptable level of . Data validation is the key to the quality of the database. It is carried ou...

2008-01-01T23:59:59.000Z

172

DOE Publishes GATEWAY Report on High-Luminous-Flux LED Lighting in a High-Temperature Environment  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy has released a GATEWAY report on a trial demonstration in which the incumbent quartz metal halide (QMH) area lighting was replaced with LED at three pole locations...

173

,"U.S. Blender Net Input"  

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

Blender Net Input of Residuum (Thousand Barrels)","U.S. Blender Net Input of Gasoline Blending Components (Thousand Barrels)","U.S. Blender Net Input of Reformulated...

174

Toward a Theory of Input Acceptance for Transactional Memories  

E-Print Network [OSTI]

-core architectures requires numerous events to be treated upon reception. In fact, the transactional code executed, experimental validation compares the presented TM designs in terms of input acceptance with realistic workloads database systems transac- tional events can be buffered on the server-side before treatment

Guerraoui, Rachid

175

West African Clean Energy Gateway-Software Analysis Tools | Open Energy  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » West African Clean Energy Gateway-Software Analysis Tools Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

176

Verification and validation benchmarks.  

SciTech Connect (OSTI)

Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest.

Oberkampf, William Louis; Trucano, Timothy Guy

2007-02-01T23:59:59.000Z

177

Gateway:América Latina/Centros Latinoamericanos | Open Energy Information  

Open Energy Info (EERE)

Gateway Gateway Edit History Facebook icon Twitter icon » Gateway:América Latina/Centros Latinoamericanos Jump to: navigation, search Centros banner.jpg Mapa de Centros de Energías Renovables en Latinoamérica BArgentina.jpg Argentina Asociación Argentina de Energías Renovables y Ambiente- Privado Cámara Argentina de Energías Renovables- Privado Secretaría de Energía- Público BBrazil.jpg Brasil Centro de energias renováveis- Investigación Centro de Tecnologias do Gás e Energias Renováveis (CTGAS-ER)- Investigación Subsecretário de Planejamento e Desenvolvimento de Energia/ Subsecretaría de Planificación y Desarrollo de la Energía- Público União Brasileira do Biodiesel- Privado BColombia.jpg Colombia Ministerio de Minas y Energías- Público Red Energías Alternativas- Privado

178

Model Validation Status Review  

SciTech Connect (OSTI)

The primary objective for the Model Validation Status Review was to perform a one-time evaluation of model validation associated with the analysis/model reports (AMRs) containing model input to total-system performance assessment (TSPA) for the Yucca Mountain site recommendation (SR). This review was performed in response to Corrective Action Request BSC-01-C-01 (Clark 2001, Krisha 2001) pursuant to Quality Assurance review findings of an adverse trend in model validation deficiency. The review findings in this report provide the following information which defines the extent of model validation deficiency and the corrective action needed: (1) AMRs that contain or support models are identified, and conversely, for each model the supporting documentation is identified. (2) The use for each model is determined based on whether the output is used directly for TSPA-SR, or for screening (exclusion) of features, events, and processes (FEPs), and the nature of the model output. (3) Two approaches are used to evaluate the extent to which the validation for each model is compliant with AP-3.10Q (Analyses and Models). The approaches differ in regard to whether model validation is achieved within individual AMRs as originally intended, or whether model validation could be readily achieved by incorporating information from other sources. (4) Recommendations are presented for changes to the AMRs, and additional model development activities or data collection, that will remedy model validation review findings, in support of licensing activities. The Model Validation Status Review emphasized those AMRs that support TSPA-SR (CRWMS M&O 2000bl and 2000bm). A series of workshops and teleconferences was held to discuss and integrate the review findings. The review encompassed 125 AMRs (Table 1) plus certain other supporting documents and data needed to assess model validity. The AMRs were grouped in 21 model areas representing the modeling of processes affecting the natural and engineered barriers, plus the TSPA model itself Description of the model areas is provided in Section 3, and the documents reviewed are described in Section 4. The responsible manager for the Model Validation Status Review was the Chief Science Officer (CSO) for Bechtel-SAIC Co. (BSC). The team lead was assigned by the CSO. A total of 32 technical specialists were engaged to evaluate model validation status in the 21 model areas. The technical specialists were generally independent of the work reviewed, meeting technical qualifications as discussed in Section 5.

E.L. Hardin

2001-11-28T23:59:59.000Z

179

An Application Level Gateway for Interactive Remote Instruction A. Abdel-Hamid, S. Ghanem, K. Maly, H. Abdel-Wahab, C. M. Overstreet, J. C. Wild, A. Gupta,  

E-Print Network [OSTI]

or limited bandwidth such as home users. A gateway prototype is fully implemented in Java and tested within of our design. Keywords: distance learning, multicast gateway, rate control, Java. 1. Introduction IRI or limited bandwidth such as home users by offering data packet relaying and rate adaptation services [1

Farag, Waleed

180

Intermediate inputs and economic productivity  

Science Journals Connector (OSTI)

...US sectoral-level production functions. Both the...316) and plastics and rubber-(326). The relationship...coefficients of the production function sum to a quantity...inputs were used in the production process. 16 This estimate...products 326 plastics and rubber products 327 non-metallic...

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

PADD 3 Weekly Inputs & Utilization  

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

Utilization 97.4 95.3 94.8 94.9 95.9 92.2 2010-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components -2,174 -2,008 -2,012 -2,095 -2,214 -2,291 2004-2015 RBOB -283...

182

Resources Abstracts Input Transaction Form  

E-Print Network [OSTI]

#12;Resources Abstracts Input Transaction Form 4. Title 5. Report Date 6.Urban Aquaculture Covered The University of the District of Columbia 12. Sponsoring Organization Water Resources Research of the rainbow trout (Salmo gairdneri) in a closed recycling water system in an urban environment is described

District of Columbia, University of the

183

Gateway:América Latina/Aprender más sobre las ERNC/Puesta en Marcha,  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » Gateway:América Latina/Aprender más sobre las ERNC/Puesta en Marcha, Operación y Comercialización/Eolica Jump to: navigation, search Generate lift by pitching a blade Fuente: Vestas Idioma: Inglés What is wind turbine service Fuente: Vestas Idioma: Inglés About grid disturbance Fuente: Vestas Idioma: Inglés Challenge Vestas control system Fuente: Vestas Idioma: Inglés When wind turbines retire Fuente: Vestas Idioma: Inglés Retrieved from "http://en.openei.org/w/index.php?title=Gateway:América_Latina/Aprender_más_sobre_las_ERNC/Puesta_en_Marcha,_Operación_y_Comercialización/Eolica&oldid=304534"

184

Gateway:América Latina/Aprender más sobre las ERNC/Seleccion de  

Open Energy Info (EERE)

Gateway Gateway Edit History Facebook icon Twitter icon » Gateway:América Latina/Aprender más sobre las ERNC/Seleccion de Webinars/Prospección y Estudios de Pre-Inversion/Biomasa Jump to: navigation, search Biomasa Agrícola The Quest for Maximizing Ethanol Plant Yield Fuente: Novozymes Bioenergy Idioma: Inglés Non-Tradition Feedstock Production Fuente: Universidad de Michigan State Idioma: Inglés Curso de Producción de Biodiesel Fuente: Novozymes Bioenergy Idioma: Español Biomasa Forestal Forest Conservation Strategies in Chile Fuente: Forestry Webinar Portal Idioma: Inglés The South Rises Again: Industrial Forest Management in Chile Fuente: Forestry Webinar Portal Idioma: Inglés Residuos Orgánicos An Introduction to On-Farm Anaerobic Digestion Fuente: Universidad de Penn State

185

20K Hour GATEWAY Testing Results for I-35W Bridge Webinar  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy released a GATEWAY Demonstration report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the countrys oldest continuously operated exterior LED lighting installations. Prior to installation, two of the LED luminaires were tested, along with a third luminaire that was not installed on the bridge but was tested for 6,000 hours in a laboratory for comparison purposes.

186

BISON Validation | Department of Energy  

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

Validation Validation BISON Validation January 29, 2013 - 11:54am Addthis BISON Validation Predictive Maturity Work continued on the previously developed discovery, accumulation, and assessment (DAA) process to plan, track, assess, and communicate VU activities and results. DAA was applied to the BISON sensitivity analysis described above, and the results were exported to Synopsis, the DAA management tool. [SNL, LANL, INL] Building on previous sensitivity studies of the LIFE-IV nuclear fuels code, a recently completed VU study focused on a methodology by which experimental campaigns may be devised to improve code calibration. Specifically, a principal component analysis is performed on the input parameters of the experiments, and the experiments that offer the least residual error when reconstructed from the principal components are

187

In this paper, we propose an Internet payment system which uses a payment gateway to handle the credit card  

E-Print Network [OSTI]

Abstract In this paper, we propose an Internet payment system which uses a payment gateway that our payment system is easy-to-use, secure, and cost-effective. Keywords: E-commerce, Internet payment, public key cryptography, security, on-line travel agency 1. Introduction Internet invents a new style

Lyu, Michael R.

188

GATEWAY ENTERPRISES  

Office of Legacy Management (LM)

with the Development of a Hydrologic Source Term for the Nevada Test Site," David K. Smith, Bradley K. Esser, and Joseph L. Thompson, UCRL-ID-120322, 1995. 24. U.S. Department...

189

SANSMIC Validation.  

SciTech Connect (OSTI)

SANSMIC is solution mining software that was developed and utilized by SNL in its role as geotechnical advisor to the US DOE SPR for planning purposes. Three SANSMIC leach modes - withdrawal, direct, and reverse leach - have been revalidated with multiple test cases for each mode. The withdrawal mode was validated using high quality data from recent leach activity while the direct and reverse modes utilized data from historical cavern completion reports. Withdrawal results compared very well with observed data, including the location and size of shelves due to string breaks with relative leached volume differences ranging from 6 - 10% and relative radius differences from 1.5 - 3%. Profile comparisons for the direct mode were very good with relative leached volume differences ranging from 6 - 12% and relative radius differences from 5 - 7%. First, second, and third reverse configurations were simulated in order to validate SANSMIC over a range of relative hanging string and OBI locations. The first-reverse was simulated reasonably well with relative leached volume differences ranging from 1 - 9% and relative radius differences from 5 - 12%. The second-reverse mode showed the largest discrepancies in leach profile. Leached volume differences ranged from 8 - 12% and relative radius differences from 1 - 10%. In the third-reverse, relative leached volume differences ranged from 10 - 13% and relative radius differences were ~4 %. Comparisons to historical reports were quite good, indicating that SANSMIC is essentially the same as documented and validated in the early 1980's.

Weber, Paula D.; Rudeen, David Keith; Lord, David

2014-08-01T23:59:59.000Z

190

Code input alternatives John C. Wright  

E-Print Network [OSTI]

Code input alternatives John C. Wright John Wright Oct 2009 ­ CSWIM Workshop@ORNL Extensible markup

Wright, John C.

191

Gateway:América Latina/Aprender más sobre las ERNC/Seleccion de  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » Gateway:América Latina/Aprender más sobre las ERNC/Seleccion de Webinars/Prospección y Estudios de Pre-Inversion/Geotermia Jump to: navigation, search School on Geothermics Fuente: International Centre for Science and High Technology Idioma: Inglés Seminar on Innovative Ideas for Geothermal Exploitation Fuente: International Centre for Science and High Technology Idioma: Inglés Workshop on Geothermal energy: resources and technology for a sustainable development Fuente: International Centre for Science and High Technology Idioma: Inglés Decision Makers' Workshop on Geothermal Energy

192

Photovoltaic Performance and Reliability Database: A Gateway to Experimental Data Monitoring Projects for PV at the Florida Solar Energy Center  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This site is the gateway to experimental data monitoring projects for photovoltaic (PV) at the Florida Solar Energy Center. The website and the database were designed to facilitate and standardize the processes for archiving, analyzing and accessing data collected from dozens of operational PV systems and test facilities monitored by FSEC's Photovoltaics and Distributed Generation Division. [copied from http://www.fsec.ucf.edu/en/research/photovoltaics/data_monitoring/index.htm

193

Gateway:América Latina/Aprender más sobre las ERNC/Seleccion de  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » Gateway:América Latina/Aprender más sobre las ERNC/Seleccion de Webinars/Prospección y Estudios de Pre-Inversion/Marina Jump to: navigation, search Marine Technology Industry Status Briefing Fuente: Clean Energy States Alliance Idioma: Inglés Marine Energy Regulatory Framework: Challenges & Solutions Fuente: Clean Energy States Alliance Idioma: Inglés Kinetic Hydropower Systems Fuente: Thayer School Idioma: Inglés Wave and Tidal Energy in the UK: 2GW by 2020? Fuente: Renewable Energy Focus Idioma: Inglés Retrieved from "http://en.openei.org/w/index.php?title=Gateway:América_Latina/Aprender_más_sobre_las_ERNC/Seleccion_de_Webinars/Prospección_y_Estudios_de_Pre-Inversion/Marina&oldid=304512"

194

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

195

National Climate Assessment: Available Technical Inputs  

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

Available Technical Inputs Print E-mail Available Technical Inputs Print E-mail Technical inputs for the 2013 National Climate Assessment were due March 1, 2012. Please note that these reports were submitted independently to the National Climate Assessment for consideration and have not been reviewed by the National Climate Assessment Development and Advisory Committee. Links to agency-sponsored reports will be posted here as they are made available. Sectors National Climate Assessment Health Sector Literature Review and Bibliography. Technical Input for the Interagency Climate Change and Human Health Group, September 2012. Overview Bibliography Bibliography User's Guide Search Strategy and Results Walthall et al. 2012. Climate Change and Agriculture in the United States: Effects and Adaptation. USDA Technical Bulletin 1935. Washington, DC. 186 pages. | Report FAQs

196

Evaluation of boolean formulas with restricted inputs  

E-Print Network [OSTI]

In this thesis, I will investigate the running time of quantum algorithms for evaluating boolean functions when the input is promised to satisfy certain conditions. The two quantum algorithms considered in this paper are ...

Zhan, Bohua

2010-01-01T23:59:59.000Z

197

Generation of RTL verification input stimulus  

E-Print Network [OSTI]

This thesis presents an approach for generating input stimulus for verification of register-transfer level (RTL) design of VLSI circuits. RTL design is often subjected to a significant verification effort due to errors introduced during manual...

Selvarathinam, Anand Manivannan

2012-06-07T23:59:59.000Z

198

Total Blender Net Input of Petroleum Products  

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

Input Input Product: Total Input Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquid Petroleum Gases Normal Butane Isobutane Other Liquids Oxygenates/Renewables Methyl Tertiary Butyl Ether (MTBE) Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - Conventional, CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

199

Opportunities for Public Input Into DOE Projects  

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

Opportunities for Public Input Into DOE Projects Opportunities for Public Input Into DOE Projects There are currently several DOE-proposed activities that citizens can comment on in the near future. Here is a summary of each, as well as a description of how to provide your input into the project: Hanford Draft Closure and Waste Management Environmental Impact Statement Idahoans might be interested in this document because one of the proposed actions involves sending a small amount of radioactive waste (approximately 5 cubic meters of special reactor components) to the Idaho Nuclear Technology and Engineering Center on DOE's Idaho Site for treatment. Here is a link to more information about the document: http://www.hanford.gov . A public hearing on the draft EIS will be held in Boise on Tuesday, Feb. 2 at the Owyhee Plaza Hotel. It begins at 6 p.m.

200

Watfactory Virtual Manufacturing Process Varying Inputs  

E-Print Network [OSTI]

with the virtual process: · Allows quick exploration (i.e. during a short course) of process improvement ideasWatfactory Virtual Manufacturing Process Machine 1 Machine 2 Machine 3 Stream 1 Machine B Stream 2 Inputs Can be Set by Stream z19, ..., z24 The Watfactory virtual process simulates a manufacturing

Zhu, Mu

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Automatic interpretation of loosely encoded input  

Science Journals Connector (OSTI)

Knowledge-based systems are often brittle when given unanticipated input, i.e. assertions or queries that misalign with the ontology of the knowledge base. We call such misalignments ''loose speak''. We found that loose speak occurs frequently in interactions ... Keywords: Knowledge based systems, Metonymy, Noun compound, Question answering

James Fan; Ken Barker; Bruce Porter

2009-02-01T23:59:59.000Z

202

U.S. Weekly Inputs & Utilization  

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

Utilization 95.4 93.5 93.5 94.4 93.9 91 1990-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components 8 234 445 192 -558 -219 2004-2015 RBOB 167 330 371 103 9 261...

203

Contractive Systems with Inputs Eduardo D. Sontag  

E-Print Network [OSTI]

Contractive Systems with Inputs Eduardo D. Sontag Dedicated to Y. Yamamoto on the occasion of his 60th birthday Abstract. Contraction theory provides an elegant way of analyzing the behaviors-contained introduction to some basic results, with a focus on contractions with respect to non-Euclidean metrics. 1

Sontag, Eduardo

204

Green Computing input for better outcomes  

E-Print Network [OSTI]

Journal Profile: Udi Dahan Green Maturity Model for Virtualization Profiling Energy Usage for Efficient suggests that tracking energy consumption at every level will become the factor of success for greenGreen Computing input for better outcomes Learn the discipline, pursue the art, and contribute

Amir, Yair

205

Input to Priorities Panel August 7, 2012  

E-Print Network [OSTI]

Input to Priorities Panel August 7, 2012 Jeff Freidberg MIT 1 #12;The Emperor of Fusion has · Comparison (1 GW overnight cost) · Coal $ 3B · Gas $ 1B · Nuclear $ 4B · Wind $ 2B · Solar-T $ 3B · ITER $25B

206

Dale Meade regarding input international collaboration panel  

E-Print Network [OSTI]

Dale Meade regarding input international collaboration panel 1 message Saskia to add 2 comments to this discussion: 1. This regards not only international collaborations, but also national collaborations. We need to decide on using 1 video conferencing system. One of the main

207

Technology Validation Fact Sheet  

Broader source: Energy.gov [DOE]

Fact sheet produced by the Fuel Cell Technologies Office describing hydrogen and fuel cell technology validation efforts.

208

Tribal Leaders Provide White House with Input on Bolstering Climate...  

Energy Savers [EERE]

Tribal Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 -...

209

V-112: Microsoft SharePoint Input Validation Flaws Permit Cross...  

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

four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation. REFERENCE LINKS: Security Tracker Alert ID 1028278 MS Security Bulletin MS13-024...

210

T-590: HP Diagnostics Input Validation Hole Permits Cross-Site...  

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

actions on the site acting as the target user. Solution: HP has provided HP Diagnostics patch version 8.05.54.225 to resolve the vulnerability. This patch can be obtained by...

211

U-270:Trend Micro Control Manager Input Validation Flaw in Ad...  

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

on the underlying database. Solution: The vendor has issued a fix. For 5.5: Critical Patch - Build 1823 For 6.0: Critical Patch - Build 1449 Addthis Related Articles V-139:...

212

U-147:Red Hat Enterprise MRG Grid Input Validation Flaw | Department...  

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

via network Modification of user information Solution: The vendor has issued a fix. The patch is available at RedHat.com Addthis Related Articles U-217: Red Hat Certificate System...

213

T-722: IBM WebSphere Commerce Edition Input Validation Holes...  

Energy Savers [EERE]

the IBM WebSphere software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user. reference...

214

Application of computer voice input/output  

SciTech Connect (OSTI)

The advent of microprocessors and other large-scale integration (LSI) circuits is making voice input and output for computers and instruments practical; specialized LSI chips for speech processing are appearing on the market. Voice can be used to input data or to issue instrument commands; this allows the operator to engage in other tasks, move about, and to use standard data entry systems. Voice synthesizers can generate audible, easily understood instructions. Using voice characteristics, a control system can verify speaker identity for security purposes. Two simple voice-controlled systems have been designed at Los Alamos for nuclear safeguards applicaations. Each can easily be expanded as time allows. The first system is for instrument control that accepts voice commands and issues audible operator prompts. The second system is for access control. The speaker's voice is used to verify his identity and to actuate external devices.

Ford, W.; Shirk, D.G.

1981-01-01T23:59:59.000Z

215

Generalized Input-Output Inequality Systems  

SciTech Connect (OSTI)

In this paper two types of generalized Leontief input-output inequality systems are introduced. The minimax properties for a class of functions associated with the inequalities are studied. Sufficient and necessary conditions for the inequality systems to have solutions are obtained in terms of the minimax value. Stability analysis for the solution set is provided in terms of upper semi-continuity and hemi-continuity of set-valued maps.

Liu Yingfan [Department of Mathematics, Nanjing University of Post and Telecommunications, Nanjing 210009 (China)], E-mail: yingfanliu@hotmail.com; Zhang Qinghong [Department of Mathematics and Computer Science, Northern Michigan University, Marquette, MI 49855 (United States)], E-mail: qzhang@nmu.edu

2006-09-15T23:59:59.000Z

216

EOS Land Validation Presentations  

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

EOS Land Validation Presentations EOS Land Validation Presentations Meeting: Land Cover Validation Workshop Date: February 2, 2004 Place: Boston, MA Title: Validation Data Support Activities at the ORNL DAAC (Power Point) Presenter: Bob Cook Meeting: Fall 2003 American Geophysical Union (AGU) Meeting Date: December 9, 2003 Place: San Francisco, CA Title: Ground-Based Data Supporting the Validation of MODIS Land Products (Power Point) Presenter: Larry Voorhees Meeting: Terra and Aqua Products Review Date: March 2003 Place: NASA HQ Title: Supporting the Validation of MODIS Land Products (Power Point) Presenter: Larry Voorhees Meeting: Terra and Aqua Products Review Date: March 2003 Place: NASA HQ Title: MODIS Land Summary (Power Point) Presenter: Chris Justice, University of Maryland Meeting: Spring 2002 American Geophysical Union (AGU) Meeting

217

Accelerated Testing Validation  

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

Accelerated Testing Validation Rangachary Mukundan (PI), Rodney Borup, John Davey, Roger Lujan Los Alamos National Laboratory Adam Z. Weber Lawrence Berkeley National Laboratory...

218

On the Wind Power Input to the Ocean General Circulation  

E-Print Network [OSTI]

The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

Zhai, Xiaoming

219

INGEN: A COBRA-NC input generator user's manual  

SciTech Connect (OSTI)

The INGEN (INput GENerator) computer program has been developed as a preprocessor to simplify input generation for the COBRA-NC computer program. INGEN uses several empirical correlations and geometric assumptions to simplify the data input requirements for the COBRA-NC computer code. The simplified input scheme is obtained at the expense of much flexibility provided by COBRA-NC. For more complex problems requiring additional flexibility however, INGEN may be used to provide a skeletal input file to which the more detailed input may be added. This report describes the input requirements for INGEN and describes the algorithms and correlations used to generate the COBRA-NC input. 9 refs., 3 figs., 6 tabs.

Wheeler, C.L.; Dodge, R.E.

1986-12-01T23:59:59.000Z

220

,"U.S. Refinery Crude Oil Input Qualities"  

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

Sulfur Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31062,0.88,32.64...

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

,"U.S. Refinery Crude Oil Input Qualities"  

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

Sulfur Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31228,0.91,32.46...

222

Validated SCR Concept Development  

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

Validated SCR Concept Development 2007 DEER Conference, Detroit, MI Dr. Michael Traver, IAV Inc James Ireton, IAV Inc Dr. Lutz Krmer, IAV GmbH Jrgen Manns, IAV GmbH Poster...

223

Validating Energy Measures  

E-Print Network [OSTI]

Energy measurements play a very important role in a detailed energy analysis. The role is more important in industrial processes where wide variations of process conditions exist. Valid energy measurements make the decision making process easier...

Chari, S.; Thomas, D.

224

How Sensitive is Processor Customization to the Workload's Input Datasets?  

E-Print Network [OSTI]

How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

Eeckhout, Lieven

225

U.S. Blender Net Input  

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

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Total Input 1,184,435 1,522,193 1,850,204 2,166,784 2,331,109 2,399,318 2005-2012 Natural Gas Plant Liquids and Liquefied Refinery Gases 3,445 5,686 6,538 7,810 10,663 2008-2012 Pentanes Plus 2,012 474 1,808 1,989 2,326 4,164 2005-2012 Liquid Petroleum Gases 2,971 3,878 4,549 5,484 6,499 2008-2012 Normal Butane 2,943 2,971 3,878 4,549 5,484 6,499 2005-2012 Isobutane 2005-2006 Other Liquids 1,518,748 1,844,518 2,160,246 2,323,299 2,388,655 2008-2012 Oxygenates/Renewables 234,047 274,974 286,837 295,004 2009-2012 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 234,047 274,974 286,837 295,004 2009-2012 Fuel Ethanol 131,810 182,772 232,677 273,107 281,507 287,433 2005-2012

226

U.S. Blender Net Input  

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

Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Total Input 206,541 217,867 212,114 216,075 219,783 208,203 2005-2013 Natural Gas Plant Liquids and Liquefied Refinery Gases 891 352 376 196 383 1,397 2008-2013 Pentanes Plus 261 301 313 67 287 393 2005-2013 Liquid Petroleum Gases 630 51 63 129 96 1,004 2008-2013 Normal Butane 630 51 63 129 96 1,004 2005-2013 Isobutane 2005-2006 Other Liquids 205,650 217,515 211,738 215,879 219,400 206,806 2008-2013 Oxygenates/Renewables 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Fuel Ethanol 24,163 25,526 24,804 25,491 25,970 24,116 2005-2013

227

Technology Validation | Department of Energy  

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

Technology Validation Technology Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 --...

228

Model Validation Bernie Lesieutre  

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

Model Validation Model Validation Bernie Lesieutre University of Wisconsin lesieutre@wisc.edu 27 June 2013 Washington, DC DOE/OE Transmission Reliability Program 2 Project Objectives To Develop techniques and tools for PMU- and feature-based power system model validation. Background: Our prior proof-of-concept research demonstrated that feature-based sensitivity models can be used to calibrate power system dynamic models. This was applied to the WECC composite load model for oscillatory and FIDVR events. 3 Project Objectives PSLF simulation features features Sensitivity Model (parameters) Measured Data Simulated Data Features Error Adjust Parameters Technical Approach 4 Project Objectives Current Research: Use PMU data to calibrate power plant models. Four Tasks:

229

validation | OpenEI  

Open Energy Info (EERE)

validation validation Dataset Summary Description (Abstract): 31Conclusiones y recomendacionesEl método de cálculo de la radiación solar global desarrollado ha obtenido resultadoscomparables a otros métodos revisados en la bibliografía. A diferencia de muchos deestos métodos, que han sido ajustados y refinados por sus autores a lo largo de variosaños de trabajo, este es completamente nuevo y parte de un enfoque diferente, por loque tiene un gran potencial de ajuste y sintonización.Algunos cambios que pueden sugerirse son tomar distribuciones espaciales ytemporales Source Instituto de Meteorología de Cuba Date Released November 30th, 2005 (9 years ago) Date Updated November 07th, 2007 (7 years ago) Keywords América Latina Cuba documentation solar SWERA validation

230

Accelerated Testing Validation  

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

Testing Validation Testing Validation Rangachary Mukundan (PI), Rodney Borup, John Davey, Roger Lujan Los Alamos National Laboratory Adam Z. Weber Lawrence Berkeley National Laboratory Greg James Ballard Power Systems, Inc Mike Brady Oak Ridge National Laboratory Steve Grot Ion Power, Inc This presentation does not contain any proprietary or confidential information Objective/Barrier/Target The objectives of this project are 3-fold 1. Correlation of the component lifetimes measured in an AST to real-world behavior of that component. 2. Validation of existing ASTs for Catalyst layers and Membranes 3. Development of new ASTs for GDLs, bipolar plates and interfaces Technical Barrier Addressed: A. Durability * Durability of fuel cell systems operating over automotive drive cycles has not

231

Page not found | Department of Energy  

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

71 - 28580 of 31,917 results. 71 - 28580 of 31,917 results. Article T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks. http://energy.gov/cio/articles/t-701-citrix-access-gateway-enterprise-edition-input-validation-flaw-logon-portal Article T-650: Microsoft Word Unspecified Flaw Lets Remote Users Execute Arbitrary Code Microsoft Word Unspecified Flaw Lets Remote Users Execute Arbitrary Code. http://energy.gov/cio/articles/t-650-microsoft-word-unspecified-flaw-lets-remote-users-execute-arbitrary-code Article IRS Announces New Tribal Economic Development Bond Allocation Guidance Treasury and the IRS published new guidance today allocating Tribal

232

Independent Verification and Validation  

E-Print Network [OSTI]

&V works best when incorporated into the entire software and hardware development life cycle -- fromIndependent Verification and Validation Evaluating integrity and quality of hardware and software&V must be applied at the systems level to include hardware and software interactions. High

Kemner, Ken

233

9. Technology Validation Introduction  

E-Print Network [OSTI]

.20 2.20 2.25 2.20 2.20 2.22 Texas Hydrogen Highway - Fuel Cell Hybrid Bus and Fueling Infrastructure and the corresponding hydrogen infrastructure that can be addressed only by integrating the components into complete infrastructure). Technology validation confirms that component technologies can be incorporated into a complete

234

Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations  

E-Print Network [OSTI]

Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations Angel Lozano gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual

Verdú, Sergio

235

,"New York Natural Gas Input Supplemental Fuels (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2013 ,"Release Date:","1031...

236

Solar swimming pool heating: Description of a validated model  

SciTech Connect (OSTI)

In the framework of a European Demonstration Programme, co-financed by CEC and national bodies, a model was elaborated and validated for open-air swimming pools having a minimal surface of 100 m[sup 2] and a minimal depth of 0.5 m. The model consists of two parts, the energy balance of the pool and the solar plant. The theoretical background of the energy balance of an open-air swimming pool was found to be poor. Special monitoring campaigns were used to validate the dynamic model using mathematical parameter identification methods. The final model was simplified in order to shorten calculation time and to improve the user-friendliness by reducing the input values to the most important one. The programme is commercially available. However, it requires the hourly meteorological data of a test reference year (TRY) as an input. The users are mainly designing engineers.

Haaf, W.; Luboschik, U.; Tesche, B. (IST Energietechnik GmbH, Hauptsitz Wollbach, Kandern (Germany))

1994-07-01T23:59:59.000Z

237

Performance Measures For Input Shaping and Command Generation  

E-Print Network [OSTI]

Performance Measures For Input Shaping and Command Generation Kris Kozak Department of Precision performance measures for input shaping and command generation have appeared in the literature, but very rarely have these measures been critically evaluated or thoroughly discussed. In this paper we review

Singhose, William

238

Univariate input models for stochastic simulation , NM Steiger4  

E-Print Network [OSTI]

of the continuous univariate probabilistic input processes that drive discrete-event simulation experiments that accu- rately mimic the behaviour of the random input processes driving the system under study. Often the following interrelated difficulties arise in attempts to use standard distribution families for simulation

239

ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO  

E-Print Network [OSTI]

ADIOS ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO NATIONAL RADIO ASTRONOMY OBSERVATORY TABLES ADIOS - ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE COMPUTER TABLE FOR CONTENTS Page I Module and Apple Card (Photograph) Figure 3 Complete Apple/ADIOS System (Photograph) Figure 4 Analog

Groppi, Christopher

240

Soft-Input Soft-Output Sphere Decoding Christoph Studer  

E-Print Network [OSTI]

Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft, 8092 Zurich, Switzerland Email: studer@iis.ee.ethz.ch Helmut Bölcskei Communication Technology

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Link: exploiting the web of data to generate test inputs  

Science Journals Connector (OSTI)

Applications that process complex data, such as maps, personal data, book information, travel data, etc., are becoming extremely common. Testing such applications is hard, because they require realistic and coherent test inputs that are expensive to ... Keywords: System testing, Web of data, realistic test input

Leonardo Mariani; Mauro Pezz; Oliviero Riganelli; Mauro Santoro

2014-07-01T23:59:59.000Z

242

FCT Technology Validation: Integrated Projects  

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

Integrated Projects to Integrated Projects to someone by E-mail Share FCT Technology Validation: Integrated Projects on Facebook Tweet about FCT Technology Validation: Integrated Projects on Twitter Bookmark FCT Technology Validation: Integrated Projects on Google Bookmark FCT Technology Validation: Integrated Projects on Delicious Rank FCT Technology Validation: Integrated Projects on Digg Find More places to share FCT Technology Validation: Integrated Projects on AddThis.com... Home Transportation Projects Stationary/Distributed Generation Projects Integrated Projects DOE Projects Non-DOE Projects Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Manufacturing Codes & Standards Education Systems Analysis Contacts Integrated Projects To maximize overall system efficiencies, reduce costs, and optimize

243

PV array simulator development and validation.  

SciTech Connect (OSTI)

The ability to harvest all available energy from a photovoltaic (PV) array is essential if new system developments are to meet levelized cost of energy targets and achieve grid parity with conventional centralized utility power. Therefore, exercising maximum power point tracking (MPPT) algorithms, dynamic irradiance condition operation and startup and shutdown routines and evaluating inverter performance with various PV module fill-factor characteristics must be performed with a repeatable, reliable PV source. Sandia National Laboratories is collaborating with Ametek Programmable Power to develop and demonstrate a multi-port TerraSAS PV array simulator. The simulator will replicate challenging PV module profiles, enabling the evaluation of inverter performance through analyses of the parameters listed above. Energy harvest algorithms have traditionally implemented methods that successfully utilize available energy. However, the quantification of energy capture has always been difficult to conduct, specifically when characterizing the inverter performance under non-reproducible dynamic irradiance conditions. Theoretical models of the MPPT algorithms can simulate capture effectiveness, but full validation requires a DC source with representative field effects. The DC source being developed by Ametek and validated by Sandia is a fully integrated system that can simulate an IV curve from the Solar Advisor Model (SAM) module data base. The PV simulator allows the user to change the fill factor by programming the maximum power point voltage and current parameters and the open circuit voltage and short circuit current. The integrated PV simulator can incorporate captured irradiance and module temperature data files for playback, and scripted profiles can be generated to validate new emerging hardware embedded with existing and evolving MPPT algorithms. Since the simulator has multiple independent outputs, it also has the flexibility to evaluate an inverter with multiple MPPT DC inputs. The flexibility of the PV simulator enables the validation of the inverter's capability to handle vastly different array configurations.

Kuszmaul, Scott S.; Gonzalez, Sigifredo; Lucca, Roberto (Ametek Programmable Power, San Diego, CA); Deuel, Don (Ametek Programmable Power, San Diego, CA)

2010-06-01T23:59:59.000Z

244

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents [OSTI]

A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

Hackel, R.P.; Paris, R.D.; Feldman, M.

1993-02-23T23:59:59.000Z

245

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents [OSTI]

A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

1993-01-01T23:59:59.000Z

246

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

247

Input to the 2012-2021 Strategic Plan  

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

Related Federal Climate Efforts Related Federal Climate Efforts Input to the 2012-2021 Strategic Plan Print E-mail Engaging Stakeholders The USGCRP is dedicated to engaging stakeholders in strategic planning efforts. Our community outreach activities created a dialogue with our stakeholders through various communication channels, such as opportunities for interagency collaboration, town hall meetings, public presentations and listening sessions. These channels alongside our 60 day public comment period enabled the program to incorporate stakeholder input int the process of drafting this decadal plan. In addition, we welcome input - particularly on the future direction of USGCRP and on the climate information you need and use. Please send your comments to input@usgcrp.gov. Listening Sessions

248

Abandoned Uranium Mines Report to Congress: LM Wants Your Input |  

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

Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input April 11, 2013 - 1:33pm Addthis C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts What does this project do? Goal 4. Optimize the use of land and assets Abandoned Uranium Mines Report to Congress The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder input on an abandoned uranium mines report to Congress. On January 2, 2013, President Obama signed into law the National Defense Authorization Act for Fiscal Year 2013, which requires the Secretary of Energy, in consultation with the Secretary of the U.S Department of the Interior (DOI) and the Administrator

249

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

Industry Input on Nickel Disposition Strategy Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

250

Comparison of wind stress algorithms, datasets and oceanic power input  

E-Print Network [OSTI]

If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

Yuan, Shaoyu

2009-01-01T23:59:59.000Z

251

Operation of buck regulator with ultra-low input voltage  

E-Print Network [OSTI]

Based on the LTC3621 and LTC3624, the designed buck regulator proposed in this thesis aims to lower the allowed input voltage and increase efficiency compared to the original part without making significant changes to ...

Harris, Cory Angelo

2014-01-01T23:59:59.000Z

252

Data sheet acquired from Harris Semiconductor Buffered Inputs  

E-Print Network [OSTI]

1 Data sheet acquired from Harris Semiconductor SCHS121D Features · Buffered Inputs · Typical. The suffixes 96 and R denote tape and reel. The suffix T denotes a small-quantity reel of 250. CAUTION

Kretchmar, R. Matthew

253

Automatic testing of software with structurally complex inputs  

E-Print Network [OSTI]

Modern software pervasively uses structurally complex data such as linked data structures. The standard approach to generating test suites for such software, manual generation of the inputs in the suite, is tedious and ...

Marinov, Darko, 1976-

2005-01-01T23:59:59.000Z

254

Face Interface : a methodology for experimental learning of input modalities  

E-Print Network [OSTI]

This thesis demonstrates that creating a system with a visual representation of the face which mirrors the user's facial gestures appears to solve problems in teaching a user to use the new input affordances of face-based ...

Wetzel, Jon William

2007-01-01T23:59:59.000Z

255

Charged-Particle Thermonuclear Reaction Rates: III. Nuclear Physics Input  

E-Print Network [OSTI]

The nuclear physics input used to compute the Monte Carlo reaction rates and probability density functions that are tabulated in the second paper of this series (Paper II) is presented. Specifically, we publish the input files to the Monte Carlo reaction rate code RatesMC, which is based on the formalism presented in the first paper of this series (Paper I). This data base contains overwhelmingly experimental nuclear physics information. The survey of literature for this review was concluded in November 2009.

Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

2010-04-23T23:59:59.000Z

256

JC3 Medium Impact Assessment Bulletins | Department of Energy  

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

August 29, 2011 August 29, 2011 T-704: RSA enVision Lets Remote Users View Files and Remote Authenticated Users Obtain Password RSA enVision lets remote users view files and remote authenticated users obtain password. August 25, 2011 T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks. August 22, 2011 T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. August 17, 2011 T-695: Avaya Aura Application Server Buffer Overflow in 'cstore.exe' Lets Remote Users Execute Arbitrary Code

257

Navy Technology Validation (Techval)  

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

Technology Technology Validation (Techval) FUPWG Spring Meeting 2008 April 15, 2008 Destin, FL Paul Kistler, PE CEM NAVFAC Engineering Service Center Port Hueneme CA Navy Techval CURRENT PROJECTS * Cool Roof reflective roof coating  NS Pearl Harbor HI * Thermal Destratifiers  NAS Oceana VA * Boiler Combustion Controls  USNA Annapolis MD * Sand Filters  NAS Lemoore CA * Spectrally Enhanced Lighting  Navy Yard Washington DC * Desuperheater  NS Norfolk VA  NAS North Island CA * HVAC CO2 Controls  NAB Little Creek VA  NAVSUPPACT Mid-South TN  NB Kitsap Bremerton WA *HVAC Occupancy Controls NAS Oceana VA *Electromagnetic Pulse Water Treatment NADEP San Diego CA NSY Puget Sound WA *LED Parking Lot Lighting NBVC Port Hueneme CA Techval

258

Estimation of input parameters in complex simulation using a Gaussian process metamodel  

Science Journals Connector (OSTI)

The unknown input parameters of a simulation code are usually adjusted by the nonlinear least squares estimation (NLSE) method which minimizes the sum of differences between computer responses and real observations. However, when a simulation program is very complex and takes several hours for one execution, the NLSE method may not be computationally feasible. In this case, one may build a statistical metamodel which approximates the complex simulation code. Then this metamodel is used as if it is the true simulation code in the NLSE method, which makes the problem computationally feasible. This approximated NLSE method is described in this article. A Gaussian process model is used as a metamodel of complex simulation code. The proposed method is validated through a toy-model study where the true parameters are known a priori. An application to nuclear fusion device is presented.

Jeong-Soo Park; Jongwoo Jeon

2002-01-01T23:59:59.000Z

259

Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15 13 15 11 11 9 10 21 79 154 1990's 181 154 180 4 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Washington Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

260

Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 48 106 337 1 3 11 2 1 385 315 1990's 56 49 52 78 289 194 709 172 50 64 2000's 101 118 13 42 71 154 13 54 46 47 2010's 12 20 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Minnesota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 1 46 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas District of Columbia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition)

262

Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Maryland Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

263

Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 57 64 68 23 53 45 44 40 34 82 1990's 81 46 45 84 123 96 301 137 17 12 2000's 44 39 23 143 30 31 46 40 27 3 2010's 2 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Iowa Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

264

Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Pennsylvania Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

265

Possible Magmatic Input to the Dixie Valley Geothermal Field, and  

Open Energy Info (EERE)

Possible Magmatic Input to the Dixie Valley Geothermal Field, and Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Abstract Magnetotelluric (MT) profiling in northwestern Nevadais used to test hypotheses on the main sources of heat andhydrothermal fluid for the Dixie Valley-Central NevadaSeismic Belt area. The transect reveals families of resistivitystructures commonly dominated by steeply-dipping features,some of which may be of key geothermal significance. Mostnotably, 2-D inversion

266

Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Missouri Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

267

Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Rhode Island Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

268

DOE Seeks Input On Addressing Contractor Pension and Medical Benefits  

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

Input On Addressing Contractor Pension and Medical Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor employee pension and medical benefits. Under the Department of Energy's unique Management and Operating and other site management contracts, DOE reimburses its contractors for allowable costs incurred in providing contractor employee pension and medical benefits to current employees and retirees. In FY2006, these costs reached approximately $1.1 billion - a more than 226 percent increase since FY2000 - and are expected to grow in future years.

269

Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 57 151 84 28 121 124 248 241 292 1990's 209 185 166 199 123 130 94 14 16 12 2000's 73 51 7 14 5 0 3 2 52 2010's 732 701 660 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Georgia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

270

Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 55 135 56 20 13 12 9 0 2 18 1990's 4,410 4,262 3,665 3,597 3,032 1 1 2 0 0 2000's 6 0 0 7 17 0 W 5 2 2 2010's 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Delaware Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

271

South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Dakota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

272

New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 774 720 582 328 681 509 362 464 492 592 1990's 205 128 96 154 160 90 147 102 103 111 2000's 180 86 66 58 91 84 92 9 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Hampshire Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

273

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

274

Formalization of computer input and output: the Hadley model  

Science Journals Connector (OSTI)

Current digital evidence acquisition tools are effective, but are tested rather than formally proven correct. We assert that the forensics community will benefit in evidentiary ways and the scientific community will benefit in practical ways by moving beyond simple testing of systems to a formal model. To this end, we present a hierarchical model of peripheral input to and output from von Neumann computers, patterned after the Open Systems Interconnection model of networking. The Hadley model categorizes all components of peripheral input and output in terms of data flow; with constructive aspects concentrated in the data flow between primary memory and the computer sides of peripherals' interfaces. The constructive domain of Hadley is eventually expandable to all areas of the I/O hierarchy, allowing for a full view of peripheral input and output and enhancing the forensics community's capabilities to analyze, obtain, and give evidentiary force to data.

Matthew Gerber; John Leeson

2004-01-01T23:59:59.000Z

275

Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 144 1,584 1,077 291 239 343 298 180 245 251 1990's 111 146 40 94 29 68 48 37 33 31 2000's 20 6 6 57 191 273 91 0 0 1 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Connecticut Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

276

South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Carolina Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

277

Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Tennessee Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

278

Table 3. U.S. Inputs to Biodiesel Production  

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

U.S. Inputs to Biodiesel Production U.S. Inputs to Biodiesel Production (million pounds) 2011 January 8 17 - W 150 W 14 11 February 26 13 - W 150 W 14 11 March 68 14 - W 190 W 19 27 April 88 20 - W 236 W 15 47 May 113 21 - W 264 W 16 36 June 75 34 - W 311 W 23 49 July 77 35 - W 367 W 26 64 August 84 37 W W 398 W 34 38 September 84 27 W W 430 W

279

Prototype Validation Exercise (PROVE) Project  

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

Validation > PROVE Validation > PROVE The Prototype Validation Exercise (PROVE) Project Overview The Prototype Validation Exercise (PROVE) was a mini field campaign conducted at the Jornada Experimental Range in the Chihuahuan Desert, near Las Cruces, New Mexico in May 1997. The goals of PROVE were to: Gain experience in the collection and use of field data for EOS product validation Develop protocols for coordination, measurement, and data archival Compile a synoptic land and atmospheric data set for testing algorithms The remote-sensing portion of PROVE involved investigators from three NASA Earth Observing System (EOS) instrument teams: MODIS (Moderate-Resolution Imaging Spectrometer) ASTER (Advanced Space-borne Thermal Emission and Reflectance Radiometer) MISR (Multi-Angle Imaging Spectro Radiometer)

280

Page not found | Department of Energy  

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

21 - 21630 of 28,905 results. 21 - 21630 of 28,905 results. Article U-219: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords Several vulnerabilities were reported in Symantec Web Gateway. http://energy.gov/cio/articles/u-219-symantec-web-gateway-input-validation-flaws-lets-remote-users-inject-sql-commands Article Information for Retailers of Lighting Products How U.S. retailers who sell lighting products can help their customers better understand energy-efficient lighting choices. http://energy.gov/energysaver/articles/information-retailers-lighting-products Article Tracking Santa With Our Eyes in the Sky The Energy Department's Los Alamos National Lab is tracking Santa Claus as he circles the globe the night before Christmas.

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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281

Page not found | Department of Energy  

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

51 - 9660 of 28,905 results. 51 - 9660 of 28,905 results. Map START Program Project Sites The Strategic Technical Assistance Response Team (START) Program is part of the DOE Office of Indian Energy effort to assist in the development of tribal renewable energy projects. Through START,... http://energy.gov/indianenergy/maps/start-program-project-sites Article V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks Symantec's Brightmail Gateway management console is susceptible to stored cross-site scripting (XSS) issues found in some of the administrative interface pages. http://energy.gov/cio/articles/v-153-symantec-brightmail-gateway-input-validation-flaw-permits-cross-site-scripting Article V-221: WordPress A Forms Plugin Cross-Site Request Forgery and Form

282

FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS,  

E-Print Network [OSTI]

FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Prepared For be divided into two parts: · Well-to-Tank (WTT) Feedstock extraction, transport, storage, processing, distribution, transport, and storage · Tank-to-Wheels (TTW) Refueling, consumption and evaporation The full

283

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks,  

E-Print Network [OSTI]

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks, and the Role of Global, Exporting, Knowledge and Technological Change Abstract Why do some firms create more knowledge than others stock of knowledge. But there is very little empirical evidence on production functions for new ideas

Sadoulet, Elisabeth

284

Fast RNA Structure Alignment for Crossing Input Rolf Backofena  

E-Print Network [OSTI]

is to predict for every input sequence the minimum free-energy non-crossing structure (in O(n3 ) time function. Since the structure of RNA is evolu- tionarily more conserved than its sequence, predicting a folding with minimal free energy [5, 6, 7, 8, 9]. Albeit this so-named thermodynamic approach is a success

Tsur, Dekel

285

Input to review of STFC UK Nuclear Physics Community  

E-Print Network [OSTI]

Input to review of STFC UK Nuclear Physics Community Introduction STFC covers essentially and project funding for Astronomy, Nuclear Physics, Particle Physics and Space Science Since STFC was formed programme. Grant funding Nuclear Physics grant funding was in EPSRC until 2007 and then moved to STFC

Crowther, Paul

286

Global sensitivity analysis of computer models with functional inputs  

E-Print Network [OSTI]

function. Lastly, the new methodology is applied to an industrial computer code that simulates the nuclear with scalar input variables. For example, in the nuclear engineering domain, global SA tools have been applied (Helton et al. [7]), environmental model of dose calculations (Iooss et al. [10]), reactor dosimetry

Boyer, Edmond

287

The Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions  

E-Print Network [OSTI]

that generates variable magnitude variable frequency output voltage from the ac utility line. It has high power voltage disturbance related performance issues of the MC drive. Since the MC is a direct frequencyThe Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions Jun-Koo Kang

Hava, Ahmet

288

Advanced Supply System Validation Workshop  

Broader source: Energy.gov [DOE]

The Bioenergy Technologies Office (BETO) is hosting the Advanced Supply System Validation Workshop on February 3-4, 2015, in Golden, Colorado. The purpose of the workshop is to bring together a...

289

A fast, simple, and naturally machine-precision algorithm for calculating both symmetric and asymmetric MT2, for any physical inputs  

E-Print Network [OSTI]

This document describes a stransverse-mass calculation algorithm that has better numerical stability, and therefore accuracy, than the fastest existing implementations. The new algorithm naturally permits computation of MT2 to machine-precision for any valid set of inputs. In addition to being more accurate than existing fast calculators, the new implementation is arguably simpler to understand, comprises fewer lines of active code, and provides the first fast machine-precision asymmetric-MT2 calculator known to the authors.

Christopher G. Lester; Benjamin Nachman

2014-11-16T23:59:59.000Z

290

Total Refinery Net Input of Crude Oil and Petroleum Products  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids Pentanes Plus Liquefied Petroleum Gases Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Alaskan Crude Oil Receipts Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

291

Refinery & Blenders Net Input of Crude Oil  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

292

Documentation of Calculation Methodology, Input Data, and Infrastructure  

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

Documentation of Calculation Methodology, Input Data, and Infrastructure Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Title Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Publication Type Report LBNL Report Number LBNL-51938 Year of Publication 2005 Authors Pinckard, Margaret J., Richard E. Brown, Evan Mills, James D. Lutz, Mithra M. Moezzi, Celina S. Atkinson, Christopher A. Bolduc, Gregory K. Homan, and Katie Coughlin Document Number LBNL-51938 Pagination 108 Date Published July 13 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

293

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment for the license application (TSPA-LA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA-LA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]) (TWP). This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA). This report is one of the five reports that develop input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the conceptual model and the mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed description of the model input parameters. The output of this report is used as direct input in the ''Nominal Performance Biosphere Dose Conversion Factor Analysis'' and in the ''Disruptive Event Biosphere Dose Conversion Factor Analysis'' that calculate the values of biosphere dose conversion factors (BDCFs) for the groundwater and volcanic ash exposure scenarios, respectively. The purpose of this analysis was to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or in volcanic ash). The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]).

M. Wasiolek

2004-09-10T23:59:59.000Z

294

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of 10 reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN) biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for a Yucca Mountain repository. Inhalation Exposure Input Parameters for the Biosphere Model is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the Technical Work Plan for Biosphere Modeling and Expert Support (BSC 2004 [DIRS 169573]). This analysis report defines and justifies values of mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of ERMYN to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception.

K. Rautenstrauch

2004-09-10T23:59:59.000Z

295

New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,574 11,504 9,786 9,896 8,616 13,421 12,099 13,774 14,846 14,539 1990's 9,962 14,789 14,362 14,950 7,737 7,291 6,778 6,464 9,082 5,761 2000's 8,296 12,330 3,526 473 530 435 175 379 489 454 2010's 457 392 139 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Jersey Supplemental Supplies of Natural Gas

296

Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 1,838 63 2,006 2,470 2,689 2,142 2,199 1,948 2,088 1990's 2,361 2,032 1,437 791 890 15 315 134 11 4 2000's 339 6 1 13 39 16 19 33 28 18 2010's 12 9 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Nebraska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

297

Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Michigan Supplemental Supplies of Natural Gas

298

Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,868 9,133 8,877 7,927 9,137 8,934 8,095 8,612 10,322 9,190 1990's 15,379 6,778 7,158 8,456 8,168 7,170 6,787 6,314 5,292 4,526 2000's 4,772 5,625 5,771 5,409 5,308 5,285 6,149 6,869 6,258 7,527 2010's 5,148 4,268 4,412 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Colorado Supplemental Supplies of Natural Gas

299

Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 69,169 69,850 64,812 62,032 43,866 24,444 5,182 18 44 348 1990's 849 891 1,051 992 1,432 904 1,828 1,423 1,194 1,200 2000's 1,442 1,149 79 1,002 492 579 423 608 460 522 2010's 353 296 366 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Ohio Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

300

Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,190 2,993 2,899 2,775 2,449 2,655 2,630 2,461 2,801 2,844 1990's 2,817 2,725 2,711 2,705 2,831 2,793 2,761 2,617 2,715 2,752 2000's 2,769 2,689 2,602 2,602 2,626 2,606 2,613 2,683 2,559 2,447 2010's 2,472 2,467 2,510 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Hawaii Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Massachusetts Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

302

Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1,602 5,056 3,496 4,142 4,027 2,711 2,351 3,890 4,243 3,512 1990's 3,015 3,077 3,507 3,232 2,457 3,199 3,194 3,580 3,149 5,442 2000's 5,583 5,219 1,748 2,376 2,164 1,988 1,642 635 30 1 2010's 1 5 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Indiana Supplemental Supplies of Natural Gas

303

North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas

304

Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 36,713 29,509 19,005 19,734 17,308 19,805 22,980 12,514 9,803 9,477 1990's 8,140 6,869 8,042 9,760 7,871 6,256 3,912 4,165 2,736 2,527 2000's 1,955 763 456 52 14 15 13 11 15 20 2010's 17 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Illinois Supplemental Supplies of Natural Gas

305

Technology Validation: Fuel Cell Bus Evaluations | Department...  

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

Technology Validation: Fuel Cell Bus Evaluations Technology Validation: Fuel Cell Bus Evaluations 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and...

306

Accelerated Testing Validation | Department of Energy  

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

Accelerated Testing Validation Accelerated Testing Validation Presented at the Department of Energy Fuel Cell Projects Kickoff Meeting, September 1 - October 1, 2009...

307

Life Validation Testing Protocol Development | Department of...  

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

Validation Testing Protocol Development Life Validation Testing Protocol Development Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on...

308

Hydrogen Vehicle and Infrastructure Demonstration and Validation...  

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

Vehicle and Infrastructure Demonstration and Validation Hydrogen Vehicle and Infrastructure Demonstration and Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program...

309

Verification and Validation of Simulation Model  

E-Print Network [OSTI]

Verification and Validation of Simulation Model 1 Verification and Validation 2 #12;Verification · Examples ­ simulation model: open networks with exponential interarrival time distribution and uniform

Shihada, Basem

310

Technical Demonstration and Economic Validation of Geothermal...  

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

Economic Validation of Geothermal-Produced Electricity from Coproduced Water at Existing OilGas Wells in Texas Technical Demonstration and Economic Validation of...

311

Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs  

SciTech Connect (OSTI)

Building energy simulations can be used to predict a building's interior conditions, along with the energy use associated with keeping these conditions comfortable. These models simulate the loads on the building (e.g., internal gains, envelope heat transfer), determine the operation of the space conditioning equipment, and then calculate the building's temperature and humidity throughout the year. The indoor temperature and humidity are affected not only by the loads and the space conditioning equipment, but also by the capacitance of the building materials, which buffer changes in temperature and humidity. This research developed an empirical method to extract whole-house model inputs for use with a more accurate moisture capacitance model (the effective moisture penetration depth model). The experimental approach was to subject the materials in the house to a square-wave relative humidity profile, measure all of the moisture transfer terms (e.g., infiltration, air conditioner condensate) and calculate the only unmeasured term: the moisture absorption into the materials. After validating the method with laboratory measurements, we performed the tests in a field house. A least-squares fit of an analytical solution to the measured moisture absorption curves was used to determine the three independent model parameters representing the moisture buffering potential of this house and its furnishings. Follow on tests with realistic latent and sensible loads showed good agreement with the derived parameters, especially compared to the commonly-used effective capacitance approach. These results show that the EMPD model, once the inputs are known, is an accurate moisture buffering model.

Woods, J.; Winkler, J.; Christensen, D.; Hancock, E.

2014-08-01T23:59:59.000Z

312

MARMOT Validation | Department of Energy  

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

Validation Validation MARMOT Validation January 29, 2013 - 10:35am Addthis The composition-dependent mobility in the formulism of the phase-field modeling is implemented into the MARMOT phase-field algorithm. Benchmarking was done for the MARMOT, finite element (FE)-based phase-field framework that utilizes the new implementation of the variable splitting algorithm. The results indicate that while the variable splitting algorithm executes about eight times faster, the use of higher-order Hermite elements offers faster convergence. A manuscript summarizing these results has been submitted for publication. Work is also continuing on implementing a J2 von-Mises' time-dependent and independent plasticity into the Marmot phase-field algorithm. The current studies do not include adoptive meshing,

313

Advanced Supply System Validation Workshop  

Broader source: Energy.gov [DOE]

The Bioenergy Technologies Office (BETO) is hosting the Advanced Supply System Validation Workshop on February 3-4, 2015, in Golden, Colorado. The purpose of the workshop is to bring together a diverse group of stakeholders to examine, discuss, and validate analysis assumptions used to move beyond current feedstock supply systems designed to support the agriculture and forestry industries. Participants will discuss assumptions relating to volume and transportation logistics, biomass quality, and operational risks. The outcome of the workshop will include a report summarizing the expert opinions shared during the workshop.

314

Validation of Criticality Safety Calculations with SCALE 6.2  

SciTech Connect (OSTI)

SCALE 6.2 provides numerous updates in nuclear data, nuclear data processing, and computational tools utilized in the criticality safety calculational sequences relative to SCALE 6.1. A new 252-group ENDF/B-VII.0 multigroup neutron library, improved ENDF/B-VII.0 continuous energy data, as well as the previously deployed 238-group ENDF/B-VII.0 neutron library are included in SCALE 6.2 for criticality safety analysis. The performance of all three libraries for keff calculations is examined with a broad sampling of critical experiment models covering a range of fuels and moderators. Critical experiments from the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE) that are available in the SCALE Verified, Archived Library of Inputs and Data (VALID) are used in this validation effort. Over 300 cases are used in the validation of KENO V.a, and a more limited set of approximately 50 configurations are used for KENO-VI validation. Additionally, some KENO V.a cases are converted to KENO-VI models so that an equivalent set of experiments can be used to validate both codes. For continuous-energy calculations, SCALE 6.2 provides improved performance relative to SCALE 6.1 in most areas with notable improvements in fuel pin lattice cases, particularly those with mixed oxide fuel. Multigroup calculations with the 252-group library also demonstrate improved performance for fuel lattices, uranium (high and intermediate enrichment) and plutonium metal experiments, and plutonium solution systems. Overall, SCALE 6.2 provides equivalent or smaller biases than SCALE 6.1, and the two versions of KENO provide similar results on the same suite of problems.

Marshall, William BJ J [ORNL] [ORNL; Wiarda, Dorothea [ORNL] [ORNL; Celik, Cihangir [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL

2013-01-01T23:59:59.000Z

315

Characterization of industrial process waste heat and input heat streams  

SciTech Connect (OSTI)

The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

1984-05-01T23:59:59.000Z

316

A comparative study of avionics control input methods  

E-Print Network [OSTI]

Standardization of avionics locations in early models of small general aviation aircraft was almost non-existent, due largely to limited panel space and lack of human engineering considerations. Aircraft were typically purchased with a limited avionics package... Major Subject: Industrial Engineering A COMPARATIVE STUDY OF AVIONICS CONTROL INPUT METHODS A Thesis by JOHN ROBERT BARBER, JR. Approved as to style and content by: C airman of C ittee Dr. R. Dale H ingson Co-ch i n Dr. Rodger J. Koppa Member...

Barber, John Robert

1984-01-01T23:59:59.000Z

317

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of the technical reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), referred to in this report as the biosphere model. ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for a Yucca Mountain repository. ''Inhalation Exposure Input Parameters for the Biosphere Model'' is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the biosphere model is presented in Figure 1-1 (based on BSC 2006 [DIRS 176938]). This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and how this analysis report contributes to biosphere modeling. This analysis report defines and justifies values of atmospheric mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of the biosphere model to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception. This report is concerned primarily with the physical attributes of airborne particulate matter, such as the airborne concentrations of particles and their sizes. The conditions of receptor exposure (duration of exposure in various microenvironments), breathing rates, and dosimetry of inhaled particulates are discussed in more detail in ''Characteristics of the Receptor for the Biosphere Model'' (BSC 2005 [DIRS 172827]).

M. Wasiolek

2006-06-05T23:59:59.000Z

318

SunShot Initiative: Technology Validation  

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

Technology Validation to someone Technology Validation to someone by E-mail Share SunShot Initiative: Technology Validation on Facebook Tweet about SunShot Initiative: Technology Validation on Twitter Bookmark SunShot Initiative: Technology Validation on Google Bookmark SunShot Initiative: Technology Validation on Delicious Rank SunShot Initiative: Technology Validation on Digg Find More places to share SunShot Initiative: Technology Validation on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Research, Development, & Demonstration Distribution Grid Integration Transmission Grid Integration Solar Resource Assessment Technology Validation Power Electronics & Balance of System Hardware Technologies Competitive Awards Balance of Systems Technology Validation To reduce solar technology risks, DOE and its partners evaluate the

319

US Nuclear Regulatory Commission Input to DOE Request for Information Smart  

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

US Nuclear Regulatory Commission Input to DOE Request for US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input More Documents & Publications Comments of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Reply Comments of Entergy Services, Inc. Progress Energy draft regarding Smart Grid RFI: Addressing Policy and

320

Residential oil burners with low input and two stages firing  

SciTech Connect (OSTI)

The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

Butcher, T.; Krajewski, R.; Leigh, R. [and others

1997-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Heat transfer analysis in Stirling engine heat input system  

SciTech Connect (OSTI)

One of the major factor in commercialization of Stirling engine is mass productivity, and the heat input system including tubular heater is one of the obstacles to mass production because of its complexity in shape and difficulty in manufacturing, which resulted from using oxidation-resistant, low-creep alloys which are not easy to machine and weld. Therefore a heater heat exchanger which is very simple in shape and easy to make has been devised, and a burner system appropriate to this heater also has been developed. In this paper specially devised heat input system which includes a heater shell shaped like U-cup and a flame tube located in the heater shell is analyzed in point of heat transfer processes to find optimum heat transfer. To enhance the heat transfer from the flame tube to the heater shell wall, it is required that the flame tube diameter be enlarged as close to the heater shell diameter as possible, and the flame tube temperature be raised as high as possible. But the enlargement of the flame tube diameter should be restricted by the state of combustion affected by hydraulic resistance of combustion gas, and the boost of the flame tube temperature should be considered carefully in the aspects of the flame tube`s service life.

Chung, W.; Kim, S. [LG Electronics Inc., Seoul (Korea, Republic of). Living System Lab.

1995-12-31T23:59:59.000Z

322

Methodology for Validating Building Energy Analysis Simulations  

SciTech Connect (OSTI)

The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

2008-04-01T23:59:59.000Z

323

Validation  

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

complimentary copy. Redistribution subject to AIP license or copyright, see http:php.aip.orgphpcopyright.jsp and geometry. For example, the dynamics of fusion plasmas is...

324

Model validation and uncertainty analysis -- An example using a nitrate percolation model  

SciTech Connect (OSTI)

Model validation and uncertainty analysis are demonstrated using a model previously developed for estimating nitrate-nitrogen (nitrate) concentrations in percolation water from land application of sewage sludge. The objectives are to demonstrate alternate validation techniques and to analyze uncertainty associated with model use following validation. Field data from three published sludge application studies and two separate methods are used for the validation. The first method, point validation, is accomplished by inserting mean values into the model to make point predictions. Model accuracy is then assessed by calculating coefficient of determination (r{sup 2}), relative error and standard error. Statistical accuracy is tested using the Wilcoxon Signed Rank Test. The second method, statistical validation, uses Monte Carlo simulation to obtain distributions of model predictions. The hypothesis that field data represent reasonable samples from the distribution of model predictions is tested by checking whether observed values are within a range bounded by the 5 and 95% quantities of the distribution. Both validation methods demonstrate that the land application model generally overestimates nitrate concentrations. Monte Carlo simulation is used to identify which model input parameters are the largest contributors to the uncertainty in model predictions.

Mummert, M.C. [R.E. Wright Environmental, Inc., Middletown, PA (United States)

1996-12-31T23:59:59.000Z

325

Criticality Safety Validation of SCALE 6.1 with ENDF/B-VII.0 Libraries  

SciTech Connect (OSTI)

ANSI/ANS-8.1-1998;2007, Nuclear Criticality Safety in Operations with Fissionable Material Outside Reactors, and ANSI/ANS-8.24-2007, Validation of Neutron Transport Methods for Nuclear Criticality Safety Calculations, require validation of a computer code and the associated data through benchmark evaluations based on physical experiments. The performance of the code and data are validated by comparing the calculated and the benchmark results. A SCALE procedure has been established to generate a Verified, Archived Library of Inputs and Data (VALID). This procedure provides a framework for preparing, peer reviewing, and controlling models and data sets derived from benchmark definitions so that the models and data can be used with confidence. The procedure ensures that the models and data were correctly generated using appropriate references with documented checks and reviews. Configuration management is implemented to prevent inadvertent modification of the models and data or inclusion of models that have not been subjected to the rigorous review process. VALID entries for criticality safety are based on critical experiments documented in the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). The findings of a criticality safety validation of SCALE 6.1 utilizing the benchmark models vetted in the VALID library at Oak Ridge National Laboratory are summarized here.

Marshall, William BJ J [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL

2012-01-01T23:59:59.000Z

326

Soil-related Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the geologic repository at Yucca Mountain. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN biosphere model is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (BSC 2003 [163602]). It should be noted that some documents identified in Figure 1-1 may be under development at the time this report is issued and therefore not available. This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. ''The Biosphere Model Report'' (BSC 2003 [160699]) describes in detail the conceptual model as well as the mathematical model and its input parameters. The purpose of this analysis was to develop the biosphere model parameters needed to evaluate doses from pathways associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation and ash deposition and, as a direct consequence, radionuclide concentration in resuspended particulate matter in the atmosphere. The analysis was performed in accordance with the technical work plan for the biosphere modeling and expert support (TWP) (BSC 2003 [163602]). This analysis revises the previous one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [152517]). In REV 00 of this report, the data generated were fixed (i.e., taking no account of uncertainty and variability) values. This revision incorporates uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content.

A. J. Smith

2003-07-02T23:59:59.000Z

327

Model Validation with Hybrid Dynamic Simulation  

SciTech Connect (OSTI)

AbstractModel validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation.

Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

2006-06-18T23:59:59.000Z

328

Soil-Related Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This report presents one of the analyses that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the details of the conceptual model as well as the mathematical model and the required input parameters. The biosphere model is one of a series of process models supporting the postclosure Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A schematic representation of the documentation flow for the Biosphere input to TSPA is presented in Figure 1-1. This figure shows the evolutionary relationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (TWP) (BSC 2004 [DIRS 169573]). This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil-Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. The purpose of this analysis was to develop the biosphere model parameters associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation or ash deposition and, as a direct consequence, radionuclide concentration in other environmental media that are affected by radionuclide concentrations in soil. The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]) where the governing procedure was defined as AP-SIII.9Q, ''Scientific Analyses''. This analysis revises the previous version with the same name (BSC 2003 [DIRS 161239]), which was itself a revision of one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [DIRS 152517]). In Revision 00 of this report, the data generated were fixed values (i.e., taking no account of uncertainty and variability). Revision 01 (BSC 2003 [DIRS 161239]) incorporated uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content. The current revision of this document improves the transparency and traceability of the products without changing the details of the analysis. This analysis report supports the treatment of six of the features, events, and processes (FEPs) applicable to the Yucca Mountain reference biosphere (DTN: MO0407SEPFEPLA.000 [DIRS 170760]). The use of the more recent FEP list in DTN: MO0407SEPFEPLA.000 [DIRS 170760] represents a deviation from the detail provided in the TWP (BSC 2004 [DIRS 169573]), which referenced a previous version of the FEP list. The parameters developed in this report support treatment of these six FEPs addressed in the biosphere model that are listed in Table 1-1. Inclusion and treatment of FEPs in the biosphere model is described in the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460], Section 6.2).

A. J. Smith

2004-09-09T23:59:59.000Z

329

E-Print Network 3.0 - ac input power Sample Search Results  

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

factor with high total harmonic... input cur- rent shape at near unity power factor. Advantages of the proposed topology are: no dc... as well as input supply variations. Matrix...

330

Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results  

Science Journals Connector (OSTI)

A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beliefs about previous input. Under some circumstances, such an error-correction ...

Roger Levy

2011-06-01T23:59:59.000Z

331

Time-lag of record inputs to the international nuclear information system bibliographic database  

Science Journals Connector (OSTI)

This paper discusses the timeliness in inputting bibliographical records to international databases with a case study of the international nuclear information system bibliographic database from the inception (1970) to the year 2008. The authors have attempted to calculate the overall and average inputting time-lag of the database. The time-lags of inputting countries and international organisations are analysed separately. The study also tries to identify the nature of inputs that are responsible for this delayed response.

E.R. Prakasan; Nita Bhaskar; K. Bhanumurthy

2011-01-01T23:59:59.000Z

332

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (TWP) (BSC 2003 [163602]). Some documents in Figure 1-1 may be under development and not available when this report is issued. This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA), but access to the listed documents is not required to understand the contents of this report. This report is one of the reports that develops input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2003 [160699]) describes the conceptual model, the mathematical model, and the input parameters. The purpose of this analysis is to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or volcanic ash). The analysis was performed in accordance with the TWP (BSC 2003 [163602]). This analysis develops values of parameters associated with many features, events, and processes (FEPs) applicable to the reference biosphere (DTN: M00303SEPFEPS2.000 [162452]), which are addressed in the biosphere model (BSC 2003 [160699]). The treatment of these FEPs is described in BSC (2003 [160699], Section 6.2). Parameter values developed in this report, and the related FEPs, are listed in Table 1-1. The relationship between the parameters and FEPs was based on a comparison of the parameter definition and the FEP descriptions as presented in BSC (2003 [160699], Section 6.2). The parameter values developed in this report support the biosphere model and are reflected in the TSPA through the biosphere dose conversion factors (BDCFs). Biosphere modeling focuses on radionuclides screened for the TSPA-LA (BSC 2002 [160059]). The same list of radionuclides is used in this analysis (Section 6.1.4). The analysis considers two human exposure scenarios (groundwater and volcanic ash) and climate change (Section 6.1.5). This analysis combines and revises two previous reports, ''Transfer Coefficient Analysis'' (CRWMS M&O 2000 [152435]) and ''Environmental Transport Parameter Analysis'' (CRWMS M&O 2001 [152434]), because the new ERMYN biosphere model requires a redefined set of input parameters. The scope of this analysis includes providing a technical basis for the selection of radionuclide- and element-specific biosphere parameters (except for Kd) that are important for calculating BDCFs based on the available radionuclide inventory abstraction data. The environmental transport parameter values were developed specifically for use in the biosphere model and may not be appropriate for other applications.

M. A. Wasiolek

2003-06-27T23:59:59.000Z

333

We have developed a software system that takes standard electro-cardiogram (ECG) input and interprets this input along with user-  

E-Print Network [OSTI]

a software system that takes standard electro- cardiogram (ECG) input and interprets this input along months 30 patients were monitored using a digital ECG system and this information was used to test that T wave inversions are sometimes seen on normal ECGs. Control ECGs of normal hearts were also taken

O'Sullivan, Carol

334

WORKPLACE HEALTH: State criminal prosecution ruled valid  

Science Journals Connector (OSTI)

WORKPLACE HEALTH: State criminal prosecution ruled valid ... Company officials, Daley argued, knew of the dangerous conditions but failed ... ...

1989-02-13T23:59:59.000Z

335

ALEGRA-HEDP validation strategy.  

SciTech Connect (OSTI)

This report presents a initial validation strategy for specific SNL pulsed power program applications of the ALEGRA-HEDP radiation-magnetohydrodynamics computer code. The strategy is written to be (1) broadened and deepened with future evolution of particular specifications given in this version; (2) broadly applicable to computational capabilities other than ALEGRA-HEDP directed at the same pulsed power applications. The content and applicability of the document are highly constrained by the R&D thrust of the SNL pulsed power program. This means that the strategy has significant gaps, indicative of the flexibility required to respond to an ongoing experimental program that is heavily engaged in phenomena discovery.

Garasi, Christopher Joseph; Mehlhorn, Thomas Alan; Trucano, Timothy Guy

2006-01-01T23:59:59.000Z

336

,"U.S. Blender Net Input"  

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

Monthly","9/2013","1/15/2005" Monthly","9/2013","1/15/2005" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt3_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt3_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:22:43 AM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRB_NUS_1","M_EPL0_YIB_NUS_MBBL","MPPRB_NUS_1","M_EPLL_YIB_NUS_MBBL","MBNRB_NUS_1","MBIRB_NUS_1","M_EPOL_YIB_NUS_MBBL","M_EPOOXR_YIB_NUS_MBBL","MMTRB_NUS_1","M_EPOOR_YIB_NUS_MBBL","MFERB_NUS_1","M_EPOORD_YIB_NUS_MBBL","M_EPOORO_YIB_NUS_MBBL","M_EPPU_YIB_NUS_MBBL","M_EPOUN_YIB_NUS_MBBL","M_EPOUK_YIB_NUS_MBBL","M_EPOUH_YIB_NUS_MBBL","M_EPOUR_YIB_NUS_MBBL","MBCRB_NUS_1","MO1RB_NUS_1","M_EPOBGRR_YIB_NUS_MBBL","MO3RB_NUS_1","MO4RB_NUS_1","MO2RB_NUS_1","MO5RB_NUS_1","MO6RB_NUS_1","MO7RB_NUS_1","MO9RB_NUS_1"

337

Gross Input to Atmospheric Crude Oil Distillation Units  

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

Day) Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 15,283 15,709 16,327 16,490 16,306 16,162 1985-2013 PADD 1 1,134 1,188 1,178 1,142 1,122 1,130 1985-2013 East Coast 1,077 1,103 1,080 1,058 1,031 1,032 1985-2013 Appalachian No. 1 57 85 98 84 90 97 1985-2013 PADD 2 3,151 3,087 3,336 3,572 3,538 3,420 1985-2013 Ind., Ill. and Ky. 2,044 1,947 2,069 2,299 2,330 2,266 1985-2013

338

Interface module for transverse energy input to dye laser modules  

DOE Patents [OSTI]

An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

English, Jr., Ronald E. (Tracy, CA); Johnson, Steve A. (Tracy, CA)

1994-01-01T23:59:59.000Z

339

Benchmarks for GADRAS performance validation.  

SciTech Connect (OSTI)

The performance of the Gamma Detector Response and Analysis Software (GADRAS) was validated by comparing GADRAS model results to experimental measurements for a series of benchmark sources. Sources for the benchmark include a plutonium metal sphere, bare and shielded in polyethylene, plutonium oxide in cans, a highly enriched uranium sphere, bare and shielded in polyethylene, a depleted uranium shell and spheres, and a natural uranium sphere. The benchmark experimental data were previously acquired and consist of careful collection of background and calibration source spectra along with the source spectra. The calibration data were fit with GADRAS to determine response functions for the detector in each experiment. A one-dimensional model (pie chart) was constructed for each source based on the dimensions of the benchmark source. The GADRAS code made a forward calculation from each model to predict the radiation spectrum for the detector used in the benchmark experiment. The comparisons between the GADRAS calculation and the experimental measurements are excellent, validating that GADRAS can correctly predict the radiation spectra for these well-defined benchmark sources.

Mattingly, John K.; Mitchell, Dean James; Rhykerd, Charles L., Jr.

2009-09-01T23:59:59.000Z

340

,"U.S. Refinery Net Input"  

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

3,"Monthly","9/2013","1/15/2005" 3,"Monthly","9/2013","1/15/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Monthly","9/2013","1/15/1986" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:05 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOORO_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

,"U.S. Refinery Net Input"  

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

2,"Annual",2012,"6/30/2005" 2,"Annual",2012,"6/30/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Annual",2012,"6/30/1986" ,"Release Date:","9/27/2013" ,"Next Release Date:","9/26/2014" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:04 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

342

Validation of an Integrated Hydrogen Energy Station  

SciTech Connect (OSTI)

This report presents the results of a 10-year project conducted by Air Products and Chemicals, Inc. (Air Products) to determine the feasibility of coproducing hydrogen with electricity. The primary objective was to demonstrate the technical and economic viability of a hydrogen energy station using a high-temperature fuel cell designed to produce power and hydrogen. This four-phase project had intermediate go/no-go decisions and the following specific goals: ?¢???¢ Complete a technical assessment and economic analysis of the use of high-temperature fuel cells, including solid oxide and molten carbonate, for the co-production of power and hydrogen (energy park concept). ?¢???¢ Build on the experience gained at the Las Vegas H2 Energy Station and compare/contrast the two approaches for co-production. ?¢???¢ Determine the applicability of co-production from a high-temperature fuel cell for the existing merchant hydrogen market and for the emerging hydrogen economy. ?¢???¢ Demonstrate the concept on natural gas for six months at a suitable site with demand for both hydrogen and electricity. ?¢???¢ Maintain safety as the top priority in the system design and operation. ?¢???¢ Obtain adequate operational data to provide the basis for future commercial activities, including hydrogen fueling stations. Work began with the execution of the cooperative agreement with DOE on 30 September 2001. During Phase 1, Air Products identified high-temperature fuel cells as having the potential to meet the coproduction targets, and the molten carbonate fuel cell system from FuelCell Energy, Inc. (FuelCell Energy) was selected by Air Products and DOE following the feasibility assessment performed during Phase 2. Detailed design, construction and shop validation testing of a system to produce 250 kW of electricity and 100 kilograms per day of hydrogen, along with site selection to include a renewable feedstock for the fuel cell, were completed in Phase 3. The system also completed six months of demonstration operation at the wastewater treatment facility operated by Orange County Sanitation District (OCSD, Fountain Valley, CA). As part of achieving the objective of operating on a renewable feedstock, Air Products secured additional funding via an award from the California Air Resources Board. The South Coast Air Quality Management District also provided cost share which supported the objectives of this project. System operation at OCSD confirmed the results from shop validation testing performed during Phase 3. Hydrogen was produced at rates and purity that met the targets from the system design basis, and coproduction efficiency exceeded the 50% target set in conjunction with input from the DOE. Hydrogen production economics, updated from the Phase 2 analysis, showed pricing of $5 to $6 per kilogram of hydrogen using current gas purification systems. Hydrogen costs under $3 per kilogram are achievable if next-generation electrochemical separation technologies become available.

Edward C. Heydorn

2012-10-26T23:59:59.000Z

343

High Flux Isotope Reactor system RELAP5 input model  

SciTech Connect (OSTI)

A thermal-hydraulic computational model of the High Flux Isotope Reactor (HFIR) has been developed using the RELAP5 program. The purpose of the model is to provide a state-of-the art thermal-hydraulic simulation tool for analyzing selected hypothetical accident scenarios for a revised HFIR Safety Analysis Report (SAR). The model includes (1) a detailed representation of the reactor core and other vessel components, (2) three heat exchanger/pump cells, (3) pressurizing pumps and letdown valves, and (4) secondary coolant system (with less detail than the primary system). Data from HFIR operation, component tests, tests in facility mockups and the HFIR, HFIR specific experiments, and other pertinent experiments performed independent of HFIR were used to construct the model and validate it to the extent permitted by the data. The detailed version of the model has been used to simulate loss-of-coolant accidents (LOCAs), while the abbreviated version has been developed for the operational transients that allow use of a less detailed nodalization. Analysis of station blackout with core long-term decay heat removal via natural convection has been performed using the core and vessel portions of the detailed model.

Morris, D.G.; Wendel, M.W.

1993-01-01T23:59:59.000Z

344

Model Validation with Hybrid Dynamic Simulation  

SciTech Connect (OSTI)

AbstractModel validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation. A few methods to define model quality indices have been proposed to quantify model error for model validation criteria development.

Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

2006-06-22T23:59:59.000Z

345

Evaluation of Indian input to the international nuclear information system database  

Science Journals Connector (OSTI)

The study is aimed at analysing the INIS bibliographic records of publications in India during the period 2000-2008. The analysis includes the inputting trend, time-lag, contributing journals, country collaboration, content analysis through the classification and keywords. India has a total number of 14,697 records input to the database with an yearly average of 1631 records. The timeliness of input is very noteworthy as 29.15% of all articles are input in the same publication year, 52.57% articles are of only one year delay in inputting. Pramana, Journal of Medical Physics, Radiation Protection and Environment are found as the most contributed Indian journals. Scientists from USA, Germany, Japan, etc., are the main contributors. Nuclear physics and radiation physics, specific nuclear reactors and associated plants, particle accelerators, inorganic, organic, physical and analytical chemistry, etc., are main areas of the Indian input.

Anil Kumar; E.R. Prakasan; Sandeep Kadam; Nita Bhaskar

2011-01-01T23:59:59.000Z

346

FIMS Data Validation | Department of Energy  

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

Information Systems » FIMS Data Information Systems » FIMS Data Validation FIMS Data Validation FIMS Data Validation The Facility Information Management System (FIMS) is the Department's official repository of real property data. The Department relies on the FIMS data for real property decision-making and accounting of its $86B in assets. Maintaining accurate and credible data in FIMS is critical to efficient operations and resource planning. Department of Energy Order 430.1B Real Property Asset Management requires FIMS data be accurately populated and validated once each fiscal year between December 15th and June 30th. The desired outcome of the validation program is to demonstrate, at a 90% confidence level, that the validated FIMS data elements are being maintained without material variance when compared to known accurate source

347

FIMS Data Validation | Department of Energy  

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

Operational Management » Facilities and Infrastructure » FIMS Operational Management » Facilities and Infrastructure » FIMS Data Validation FIMS Data Validation FIMS Data Validation The Facility Information Management System (FIMS) is the Department's official repository of real property data. The Department relies on the FIMS data for real property decision-making and accounting of its $86B in assets. Maintaining accurate and credible data in FIMS is critical to efficient operations and resource planning. Department of Energy Order 430.1B Real Property Asset Management requires FIMS data be accurately populated and validated once each fiscal year between December 15th and June 30th. The desired outcome of the validation program is to demonstrate, at a 90% confidence level, that the validated FIMS data elements are being

348

Summary of Input to DOE Request for Information DE-FOA-0000225  

Broader source: Energy.gov [DOE]

Presentation on Sumary of Input to DOE Request for Information DE-FOA-0000225 - U.S. DOE Fuel Cells Technology Program

349

Fossil energy use in conventional and low-external-input cropping systems.  

E-Print Network [OSTI]

??The production of fossil fuels will crest within the next decade and with reliance of modern conventional agriculture on fossil fuel energy inputs, food production (more)

Cruse, Michael James

2009-01-01T23:59:59.000Z

350

Combining frequency and time domain approaches to systems with multiple spike train input and output  

E-Print Network [OSTI]

between neuronal spike trains. Prog Biophys Mol Biol Vapnikto systems with multiple spike train input and output D. R.Keywords Multiple spike trains Neural coding Maximum

Brillinger, D. R.; Lindsay, K. A.; Rosenberg, J. R.

2009-01-01T23:59:59.000Z

351

E-Print Network 3.0 - alpha motoneurone input Sample Search Results  

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

such as input resistance (Ri,), membrane time constant (T... Spinalization on Ankle Extensor Motoneurons II. Motoneuron Electrical Properties S. HOCHMAN AND D. A. Mc......

352

A CSP Timed Input-Output Relation and a Strategy for Mechanised Conformance Verification  

Science Journals Connector (OSTI)

Here we propose a timed input-output conformance relation (named CSPTIO) based on the process algebra CSP. In contrast to other relations, CSPTIO...

Gustavo Carvalho; Augusto Sampaio

2013-01-01T23:59:59.000Z

353

Factors Controlling the Input of Electrical Energy into a Fish in an ...  

Science Journals Connector (OSTI)

In order to determine the electrical energy - input into a fish, both voltage and resistance, as applied to the fish itself, should be known. Neither of these quantities...

1999-12-13T23:59:59.000Z

354

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

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

0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion...

355

FORMALIZATION OF INPUT AND OUTPUT IN MODERN OPERATING SYSTEMS: THE HADLEY MODEL.  

E-Print Network [OSTI]

??We present the Hadley model, a formal descriptive model of input and output for modern computer operating systems. Our model is intentionally inspired by the (more)

Gerber, Matthew

2005-01-01T23:59:59.000Z

356

OSHPD Postpartum Maternal Outcomes Validation Study  

E-Print Network [OSTI]

may far exceed that of birth certificate data for severalAdams M. Validity of birth certificate data for the outcomemedical record and birth certificate data. Health Services

2006-01-01T23:59:59.000Z

357

HEV, PHEV, BEV Test Standard Validation  

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

BEV Test Standard Validation 2011 DOE Hydrogen Program and Vehicle Technologies Annual Merit Review May 10, 2011 Michael Duoba Argonne National Laboratory Sponsored by Lee Slezak...

358

Fuel Cell Backup Power Technology Validation (Presentation)  

SciTech Connect (OSTI)

Presentation about fuel cell backup power technology validation activities at the U.S. Department of Energy's National Renewable Energy Laboratory.

Kurtz, J.; Sprik, S.; Ramsden, T.; Saur, G.

2012-10-01T23:59:59.000Z

359

Technology Validation: Fuel Cell Bus Evaluations  

Broader source: Energy.gov [DOE]

Presented at the DOE Hydrogen Program 2007 Annual Merit Review held May 15-18, 2007 in Arlington, Virginia under the Technology Validation - Systems Analysis section.

360

Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels  

E-Print Network [OSTI]

Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels Fernando P procedure that generalizes the mercury/waterfilling algorithm, previously proposed for parallel non-interfering chan- nels. In this generalization the mercury level accounts for the sub- optimal (non-Gaussian) input

Verdú, Sergio

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

April 3-4, 2007/ARR Engineering Input to System Code and  

E-Print Network [OSTI]

with providing input to system code - Assessing high-leverage engineering parameters to guide integrated trade 3-4, 2007/ARR 2 Schematic of ARIES Next Step Study as I Understand It (TBD) Design Requirements to Demonstrate Those System Code Development and Integration (ARIES-AT as starting point) Translating Input to

Raffray, A. René

362

Polar study of ionospheric ion outflow versus energy input Yihua Zheng,1  

E-Print Network [OSTI]

versus energy input is performed by using multi- instrument data (TIDE, EFI, MFI, HYDRA) from PolarPolar study of ionospheric ion outflow versus energy input Yihua Zheng,1 Thomas E. Moore,2 Forrest/6 Hz), the electron density, temperature, and the electron energy flux. The perturbation fields used

California at Berkeley, University of

363

Pinch-drag-flick vs. spatial input: rethinking zoom & pan on mobile displays  

Science Journals Connector (OSTI)

The multi-touch-based pinch to zoom, drag and flick to pan metaphor has gained wide popularity on mobile displays, where it is the paradigm of choice for navigating 2D documents. But is finger-based navigation really the gold standard' In this paper, ... Keywords: mobile displays, multi-touch input, spatial input, spatially aware displays, user study

Martin Spindler; Martin Schuessler; Marcel Martsch; Raimund Dachselt

2014-04-01T23:59:59.000Z

364

Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception  

E-Print Network [OSTI]

Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception Juan Huang1 are integrated in humans performing a musical meter recognition task. Subjects discriminated between two types coherent meter percepts, and 3) Simultaneously presented bimodal inputs where the two channels contained

Wang, Xiaoqin

365

Estimation of input energy in rocket-triggered lightning Vinod Jayakumar,1  

E-Print Network [OSTI]

the input power and energy, each per unit channel length and as a function of time, associated with return- lightning first stroke, based on the conversion of measured optical energy to total energy using energy., 2002] and measured current, I(t), at the channel base to estimate the input power per unit length, P

Florida, University of

366

Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis and Ran Ginosar  

E-Print Network [OSTI]

1 Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis, Israel [ran@ee.technion.ac.il] Abstract: Novel Gate-Diffusion Input (GDI) circuits are applied to asynchronous design. A variety of GDI implementations are compared with typical CMOS asynchronous circuits

Ginosar, Ran

367

Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach  

E-Print Network [OSTI]

Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach L. Nehaoua1. For this purpose, we consider a unknown input high order sliding mode observer (UIHOSMO). First, a motorcycle- flected by an important increase of motorcycle's fatalities. Recent statistics confirm this fact

Paris-Sud XI, Université de

368

How Knowledge Validation Processes Affect Knowledge Contribution  

Science Journals Connector (OSTI)

To ensure that knowledge repositories contain high-quality knowledge, knowledge management research recommends that contributions to a repository undergo stringent validation processes. To date, however, no research has studied the impact of such processes ... Keywords: Knowledge Contribution Processes, Knowledge Management, Knowledge Repositories, Knowledge Sharing, Knowledge Sourcing, Reinforcement Theory, Signaling Theory, Validation Processes

Alexandra Durcikova; Peter Gray

2009-04-01T23:59:59.000Z

369

Verification, Validation and Testing OSMAN BALCI  

E-Print Network [OSTI]

1 CHAPTER 10 Verification, Validation and Testing OSMAN BALCI Virginia Tech 10.1 INTRODUCTION involves the measurement and assessment of a variety of quality char- acteristics such as accuracy is assessed by conducting verification, validation and testing (VV&T). #12;2 Model Verification

Tesfatsion, Leigh

370

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

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

Seeks Public Input on Cleanup Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup April 25, 2013 - 12:00pm Addthis Oak Ridge’s EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Oak Ridge's EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Oak Ridge EM Manager Mark Whitney addresses participants on EM’s mission and priorities.

371

How are basement walls input in REScheck? | Building Energy Codes Program  

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

basement walls input in REScheck? basement walls input in REScheck? After selecting a basement wall type, a basement wall illustration will appear with input boxes for the basement wall height, depth below grade, and depth of insulation. The illustration helps identify the dimensions being requested. You may enter basement wall dimensions directly into this illustration and select the OK button to have them transferred to the corresponding row in the table on the Envelope screen. If you prefer to enter the dimensions directly into the table on the Envelope screen, you can select Cancel to remove the illustration without entering dimensions. To view the basement wall illustration and inputs at a later time, click the right-mouse button anywhere on the basement row and select Edit Basement Inputs from the popup menu.

372

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

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

Oak Ridge's EM Program Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup April 25, 2013 - 12:00pm Addthis Oak Ridge’s EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Oak Ridge's EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Oak Ridge EM Manager Mark Whitney addresses participants on EM’s mission and priorities.

373

DOE Seeking Input on Alternative Uses of Nickel Inventory | Department of  

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

Seeking Input on Alternative Uses of Nickel Inventory Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will assist in DOE's evaluation of restricted uses of its nickel material for controlled radiological applications. These restricted uses could include use in commercial nuclear power plants, DOE nuclear facilities, or by the U.S. Navy. The Department will solicit input through May 8, 2007.

374

DOE Seeking Input on Alternative Uses of Nickel Inventory | Department of  

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

DOE Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will assist in DOE's evaluation of restricted uses of its nickel material for controlled radiological applications. These restricted uses could include use in commercial nuclear power plants, DOE nuclear facilities, or by the U.S. Navy. The Department will solicit input through May 8, 2007.

375

Validation experiment of a numerically processed millimeter-wave interferometer in a laboratory  

SciTech Connect (OSTI)

We propose a new interferometer system for density profile measurements. This system produces multiple measurement chords by a leaky-wave antenna driven by multiple frequency inputs. The proposed system was validated in laboratory evaluation experiments. We confirmed that the interferometer generates a clear image of a Teflon plate as well as the phase shift corresponding to the plate thickness. In another experiment, we confirmed that quasi-optical mirrors can produce multiple measurement chords; however, the finite spot size of the probe beam degrades the sharpness of the resulting image.

Kogi, Y., E-mail: kogi@fit.ac.jp; Higashi, T.; Matsukawa, S. [Department of Information Electronics, Fukuoka Institute of Technology, Fukuoka 811-0295 (Japan); Mase, A. [Art, Science and Technology Center for Cooperative Research, Kyushu University, Kasuga, Fukuoka 816-0811 (Japan); Kohagura, J.; Yoshikawa, M. [Plasma Research Center, University of Tsukuba, Tsukuba, Ibaraki 305-8577 (Japan); Nagayama, Y.; Kawahata, K. [National Institute for Fusion Science, Toki, Gifu 509-5202 (Japan); Kuwahara, D. [Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588 (Japan)

2014-11-15T23:59:59.000Z

376

Data Validation & Conditioning Kenneth Martin  

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

Validation & Conditioning Validation & Conditioning Kenneth Martin martin@electricpowergroup.com June 27-28, 2013 Washington, DC DOE/OE Transmission Reliability Program 2 The Problem  Phasors are well known to engineers ... but synchrophasors are not  Synchrophasor value dependencies - Precise timing source, algorithms, & hardware  Systems dependent on real-time communications - Delay (latency), bandwidth, errors, & dropouts  Need comparability with established systems (SCADA)  Wide area, high-speed - faster actions Need assurance measurements are correct and... Detect and fix data problems 3 Introduction  Data Validation and Conditioning Project - RFP issued in June 2012 - Awarded to EPG in December 2012 - Completion by October 2014

377

,"Maryland Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

378

,"New Jersey Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snj_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snj_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

379

,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_shi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_shi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

380

,"Rhode Island Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sri_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sri_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

,"Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)"  

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

Input Supplemental Fuels (Million Cubic Feet)" Input Supplemental Fuels (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","nga_epg0_ovi_sla_mmcfa.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/nga_epg0_ovi_sla_mmcfa.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

382

,"North Carolina Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snc_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snc_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

383

,"Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)"  

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

Input Supplemental Fuels (Million Cubic Feet)" Input Supplemental Fuels (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na_epg0_ovi_sak_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na_epg0_ovi_sak_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

384

,"Connecticut Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sct_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sct_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

385

,"Minnesota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smn_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smn_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

386

,"New Mexico Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snm_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snm_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

387

,"Wyoming Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swy_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swy_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

388

,"Washington Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swa_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swa_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

389

,"Wisconsin Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

390

,"New Hampshire Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snh_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snh_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

391

,"Kentucky Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sky_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sky_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

392

,"Tennessee Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_stn_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_stn_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

393

,"Indiana Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sin_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sin_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

394

,"Michigan Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

395

,"Virginia Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sva_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sva_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

396

,"Georgia Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sga_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sga_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

397

,"South Dakota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_ssd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_ssd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

398

,"Nebraska Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sne_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sne_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

399

,"Delaware Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sde_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sde_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

400

,"Arkansas Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sar_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sar_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

,"Illinois Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sil_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sil_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

402

,"Catalytic Reforming Downstream Processing of Fresh Feed Input"  

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

Catalytic Reforming Downstream Processing of Fresh Feed Input" Catalytic Reforming Downstream Processing of Fresh Feed Input" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Catalytic Reforming Downstream Processing of Fresh Feed Input",16,"Monthly","9/2013","1/15/2010" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_dwns_a_(na)_ydr_mbblpd_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_dwns_a_(na)_ydr_mbblpd_m.htm" ,"Source:","Energy Information Administration"

403

,"Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_spa_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_spa_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

404

,"Iowa Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sia_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sia_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

405

,"Alabama Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sal_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sal_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

406

All-optical routing of single photons with multiple input and output ports by interferences  

E-Print Network [OSTI]

We propose a waveguide-cavity coupled system to achieve the routing of photons by the phases of other photons. Our router has four input ports and four output ports. The transport of the coherent-state photons injected through any input port can be controlled by the phases of the coherent-state photons injected through other input ports. This control can be achieved when the mean numbers of the routed and control photons are small enough and require no additional control fields. Therefore, the all-optical routing of photons can be achieved at the single-photon level.

Wei-Bin Yan; Bao Liu; Ling Zhou; Heng Fan

2014-09-23T23:59:59.000Z

407

,"North Dakota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

408

,"South Carolina Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_ssc_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_ssc_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

409

,"Massachusetts Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sma_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sma_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

410

,"Nevada Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snv_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snv_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

411

,"Texas Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_stx_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_stx_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

412

,"U.S. Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9090us2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9090us2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:57:08 AM"

413

,"Colorado Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sco_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sco_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

414

,"Oregon Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sor_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sor_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

415

,"Florida Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sfl_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sfl_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

416

,"Vermont Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Vermont Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_svt_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_svt_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

417

,"Maine Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sme_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sme_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

418

A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS  

E-Print Network [OSTI]

A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS Stephen Roberts, Lionel Tarassenko, James Pardey and estimation properties of artificial neural networks. Like many `traditional' statistical techniques & David Siegwart Neural Network Research Group Department of Engineering Science University of Oxford, UK

Roberts, Stephen

419

Navy Technology Validation (Techval) Monitoring Results  

Broader source: Energy.gov [DOE]

Presentation covers the Navy Technology Validation (Techval) Monitoring Results and is given at the Federal Utility Partnership Working Group (FUPWG) 2006 Spring meeting, held on May 3-4, 2006 in Atlanta, Georgia.

420

GIVS: Integrity Validation for Grid Security  

Science Journals Connector (OSTI)

In this paper we address the problem of granting the correctness of Grid computations. We introduce a Grid Integrity Validation Scheme (GIVS) that may reveal the presence of malicious hosts by statistical samp...

Giuliano Casale; Stefano Zanero

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Vehicle Technologies Office: Integration and Validation  

Broader source: Energy.gov [DOE]

Once vehicle components and subsystems prove out in the initial modeling and simulation research phases, it is time to build, integrate, and validate prototypes of those components and subsystems....

422

Validation of Gene Therapy Manufacturing Processes  

Science Journals Connector (OSTI)

Specific issues of concern in the validation of gene therapy viral vector manufacturing processes include quality of raw materials, safety testing of cell and viral banks, production and purification of the ve...

Dominick Vacante; Gail Sofer; Stephen Morris

2002-01-01T23:59:59.000Z

423

Validation procedures used in the Background Soil Characterization Project on the Oak Ridge Reservation, Oak Ridge, Tennessee. Environmental Restoration Program  

SciTech Connect (OSTI)

The purpose of this report is (1) to document the data validation process developed for the Background Soil Characterization Project (BSCP); (2) to offer members of other project teams and potential data users the benefit of the experience gained in the BSCP in the area of developing project-specific data validation criteria and procedures based on best available guidance and technical information; and (3) to provide input and guidance to the efforts under way within Martin Marietta Energy Systems, Inc., to develop standard operating procedures to streamline and optimize the analytical laboratory data validation process for general use by making it more technically rigorous, consistent, and cost effective. Lessons learned from the BSCP are also provided to meet this end (Sect. 1.3).

Not Available

1993-12-01T23:59:59.000Z

424

DOE Seeks Additional Input on Next Generation Nuclear Plant | Department of  

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

Seeks Additional Input on Next Generation Nuclear Plant Seeks Additional Input on Next Generation Nuclear Plant DOE Seeks Additional Input on Next Generation Nuclear Plant April 17, 2008 - 10:49am Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today announced it is seeking public and industry input on how to best achieve the goals and meet the requirements for the Next Generation Nuclear Plant (NGNP) demonstration project work at DOE's Idaho National Laboratory. DOE today issued a Request for Information and Expressions of Interest from prospective participants and interested parties on utilizing cutting-edge high temperature gas reactor technology in the effort to reduce greenhouse gas emissions by enabling nuclear energy to replace fossil fuels used by industry for process heat. "This is an opportunity to advance the development of safe, reliable, and

425

DOE Seeks Public Input on an Integrated, Interagency Pre-Application  

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

Seeks Public Input on an Integrated, Interagency Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations August 29, 2013 - 9:09am Addthis A Request for Information (RFI) seeking public input for a draft Integrated, Interagency Pre-application (IIP) Process was published in the Federal Register on August 29, 2013. The Federal Register Notice is available now for downloading. Comments must be received on or before September 30, 2013. As comments are received, they will be posted online. The proposed IIP Process is intended to improve interagency and intergovernmental coordination focused on ensuring that project proponents develop and submit accurate and complete information early in the project

426

BPO Inputs to ITER Design Review on Pellet Pacing, RMP and RWM Coils,  

E-Print Network [OSTI]

Is a Pressing Issue for ITER Loarte et al., Nuclear Fusion, ITER Physics Basis,Chapter 4 Recent results reducedBPO Inputs to ITER Design Review on Pellet Pacing, RMP and RWM Coils, and Disruption Mitigation

427

On the Patterns of Wind-Power Input to the Ocean Circulation  

E-Print Network [OSTI]

Pathways of wind-power input into the ocean general circulation are analyzed using Ekman theory. Direct rates of wind work can be calculated through the wind stress acting on the surface geostrophic flow. However, because ...

Roquet, Fabien

428

SEMILAR: A Semantic Similarity Toolkit For Assessing Students' Natural Language Inputs  

E-Print Network [OSTI]

SEMILAR: A Semantic Similarity Toolkit For Assessing Students' Natural Language Inputs Vasile Rus to understand students' natural language responses. Accurate assessment of students' responses enables, & Graesser, in press). There are at least two different types of natural language assessments

Rus, Vasile

429

A study of the effects of natural fertility, weather and productive inputs in Chinese agriculture  

E-Print Network [OSTI]

This paper presents an investigation of the relations in China between farm output, the natural fertility of agricultural land, and the use of anthropogenic farm inputs. The methodology is presented as a potential increment ...

Eckaus, Richard S.; Tso, Katherine Kit-Yan.

430

Code design for multiple-input multiple-output broadcast channels  

E-Print Network [OSTI]

Recent information theoretical results indicate that dirty-paper coding (DPC) achieves the entire capacity region of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). This thesis presents practical code designs for Gaussian...

Uppal, Momin Ayub

2009-06-02T23:59:59.000Z

431

Estimating production functions with damage control inputs: an application to Korean vegetable production  

E-Print Network [OSTI]

This thesis focuses on the use of chemicals for pest control in Korean cucumber production. The empirical issue addressed is whether estimating crop production functions consistent with the economic theory of damage control inputs makes significant...

Park, Pil Ja

2002-01-01T23:59:59.000Z

432

A Survey of Inputs to the North Sea Resulting from Oil and Gas Developments [and Discussion  

Science Journals Connector (OSTI)

...annual inputs from the offshore oil and gas exploration and...of fresh, unweathered oil rapidly enters otherwise uncontaminated offshore sediments, producing...remain little affected by offshore oil and gas developments...

1987-01-01T23:59:59.000Z

433

Weathering rates in catchments calculated by different methods and their relationship to acidic inputs  

Science Journals Connector (OSTI)

The sensitivity of catchments to acidification is often assessed by calculation of weathering rates for comparison of the rates of release of base cations with the measured acidic inputs. Methods of calculatio...

D. C. Bain; S. J. Langan

434

E-Print Network 3.0 - additional power input Sample Search Results  

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

W to 50 W. A closed-system efficiency of 65% at 50 ... RF and wind power sources operating over a 10:1 input power range from 500 W to 50 W. The...

435

Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control  

Broader source: Energy.gov [DOE]

Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers and Worker Representatives Input in Work Planning and Control.

436

Factors Controlling the Input of Electrical Energy into a Fish in an ...  

Science Journals Connector (OSTI)

of these conditions may cause changes in energy-input t,o the fish by ... errors during measurement owing to elcctrol- .... drop per unit length in the water immedi-.

1999-12-13T23:59:59.000Z

437

Stabilizability of the linear algebro-differential one-input control systems  

Science Journals Connector (OSTI)

Consideration was given to the controllable system of ordinary linear differential equations with the matrix at the derivative of the desired vector function that is identically degenerate in the domain of definition. For the one-input systems, the questions ...

A. A. Shcheglova

2010-09-01T23:59:59.000Z

438

Gate-diffusion input (GDI): a power-efficient method for digital combinatorial circuits  

Science Journals Connector (OSTI)

Gate diffusion input (GDI) - a new technique of low-power digital combinatorial circuit design - is described. This technique allows reducing power consumption, propagation delay, and area of digital circuits while maintaining low complexity of logic ...

A. Morgenshtein; A. Fish; I. A. Wagner

2002-10-01T23:59:59.000Z

439

A reduced-basis method for input-output uncertainty propagation in stochastic PDEs  

E-Print Network [OSTI]

Recently there has been a growing interest in quantifying the effects of random inputs in the solution of partial differential equations that arise in a number of areas, including fluid mechanics, elasticity, and wave ...

Vidal Codina, Ferran

2013-01-01T23:59:59.000Z

440

U.S. Crude Input Rising -- Still Need +1 MMB/D Through Mid-Summer  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Refineries in fourth quarter 1999 and first quarter 2000 were running at fairly low input rates compared to prior years, despite higher demand. U.S. refineries typically increase their crude inputs during the second quarter over the first quarter as they return from maintenance and turnaround schedules to ramp up for the high demand gasoline season. The year began with low refining margins and a low level of crude inputs in January and February. This created a lower base than last year from which to grow into the summer gasoline season, when inputs will need to peak at higher levels than in 1998 or 1999. The good news is that crude runs have been increasing strongly as expected during March the first quarter. Keep in mind that they still need an additional 1 million barrels per day of crude oil between now and mid

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

DOE Seeks Public Input on an Integrated, Interagency Pre-Application  

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

DOE Seeks Public Input on an Integrated, Interagency DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations August 29, 2013 - 9:09am Addthis A Request for Information (RFI) seeking public input for a draft Integrated, Interagency Pre-application (IIP) Process was published in the Federal Register on August 29, 2013. The Federal Register Notice is available now for downloading. Comments must be received on or before September 30, 2013. As comments are received, they will be posted online. The proposed IIP Process is intended to improve interagency and intergovernmental coordination focused on ensuring that project proponents develop and submit accurate and complete information early in the project

442

Table A54. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 2" ,," "," ",," "," ",," "," "," "," " ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," ",," " ,," ","Computer Control","or Major",,,"One or More"," ","RSE" "SIC"," ",,"of Building","Energy-Using","Waste Heat"," Adjustable-Speed","General Technologies","None","Row"

443

Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent Conditioned Floorspace","Total","Present","Not Present","Factors" " "," " "RSE Column Factors:",0.8,1.3,0.9 "ALL SQUARE FEET CATEGORIES" "Approximate Conditioned Floorspace"

444

Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition  

E-Print Network [OSTI]

RETHINKING PEN INPUT INTERACTION: ENABLING FREEHAND SKETCHING THROUGH IMPROVED PRIMITIVE RECOGNITION A Dissertation by BRANDON CHASE PAULSON Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment... of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2010 Major Subject: Computer Science RETHINKING PEN INPUT INTERACTION: ENABLING FREEHAND SKETCHING THROUGH IMPROVED PRIMITIVE RECOGNITION A Dissertation by BRANDON CHASE PAULSON Submitted to the O...

Paulson, Brandon C.

2011-08-08T23:59:59.000Z

445

Energy Input per Unit Length High Accuracy Kinematic Metrology in Laser Material Processing  

Science Journals Connector (OSTI)

Laser material processes require constant energy input per unit length. Besides focal z-position, spot size, laser power and other process parameters, the relative travel speed (feed rate) of the laser spot on the work piece has the highest influence on the resulting energy input per unit length. In this paper a new metrology method is introduced, which enables users in industry and research to measure the real travel speed of the laser spot and the resulting contour of the trajectory.

Christoph Franz; Peter Abels; Raphael Rolser; Michael Becker

2011-01-01T23:59:59.000Z

446

TRIPLE 3-INPUT POSITIVE-NAND GATES SCHS317 NOVEMBER 2002  

E-Print Network [OSTI]

-SIDE MARKING PDIP ­ E Tube CD74AC10E CD74AC10E ­55°C to 125°C SOIC M Tube CD74AC10M AC10MSOIC ­ M Tape and Reel-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

Kretchmar, R. Matthew

447

CD54AC08, CD74AC08 QUADRUPLE 2-INPUT POSITIVE-AND GATES  

E-Print Network [OSTI]

SOIC M Tube CD74AC08M AC08M­55°C to 125°C SOIC ­ M Tape and reel CD74AC08M96 AC08M CDIP ­ F Tube CD54AC-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

Kretchmar, R. Matthew

448

CD54AC02, CD74AC02 QUADRUPLE 2-INPUT POSITIVE-NOR GATES  

E-Print Network [OSTI]

to 125°C SOIC ­ M Tape and reel CD74AC02M96 AC02M CDIP ­ F Tube CD54AC02F3A CD54AC02F3A Package drawings-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

Kretchmar, R. Matthew

449

CD54AC32, CD74AC32 QUADRUPLE 2-INPUT POSITIVE-OR GATES  

E-Print Network [OSTI]

Tape and reel CD74AC32M96 AC32M CDIP ­ F Tube CD54AC32F3A CD54AC32F3A Package drawings, standard-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

Kretchmar, R. Matthew

450

CD54ACT00, CD74ACT00 QUADRUPLE 2-INPUT POSITIVE-NAND GATES  

E-Print Network [OSTI]

CD74ACT00E 55°C to 125°C SOIC M Tube CD74ACT00M ACT00M­55°C to 125°C SOIC ­ M Tape and reel CD74ACT00-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

Kretchmar, R. Matthew

451

Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"

452

A study of array snr and coupling as a function of the input impedance of preamplifier  

E-Print Network [OSTI]

........................................................................................... 17 6 Use of matching network in conjunction with low input impedance preamplifier for decoupling .................................................................................. 18 7 FDTD model consisting of two coil array and tissue block... with tissue block. Experimental variables are system frequency f, inter coil distance d, coil to phantom distance D and preamplifier input impedance R .................................... 28 12 Circuit diagram for FDTD simulations at 3T (f = 128.752MHz...

Shah, Bijay Kamleshbhai

2009-05-15T23:59:59.000Z

453

MCNP5 CRITICALITY VALIDATION AND BIAS FOR INTERMEDIATE ENRICHED URANIUM SYSTEMS  

SciTech Connect (OSTI)

The purpose of this analysis is to validate the Monte Carlo N-Particle 5 (MCNP5) code Version 1.40 (LA-UR-03-1987, 2005) and its cross-section database for k-code calculations of intermediate enriched uranium systems on INTEL{reg_sign} processor based PC's running any version of the WINDOWS operating system. Configurations with intermediate enriched uranium were modeled with the moderator range of 39 {le} H/Fissile {le} 1438. See Table 2-1 for brief descriptions of selected cases and Table 3-1 for the range of applicability for this validation. A total of 167 input cases were evaluated including bare and reflected systems in a single body or arrays. The 167 cases were taken directly from the previous (Version 4C [Lan 2005]) validation database. Section 2.0 list data used to calculate k-effective (k{sub eff}) for the 167 experimental criticality benchmark cases using the MCNP5 code v1.40 and its cross section database. Appendix B lists the MCNP cross-section database entries validated for use in evaluating the intermediate enriched uranium systems for criticality safety. The dimensions and atom densities for the intermediate enriched uranium experiments were taken from NEA/NSC/DOC(95)03, September 2005, which will be referred to as the benchmark handbook throughout the report. For these input values, the experimental benchmark k{sub eff} is approximately 1.0. The MCNP validation computer runs ran to an accuracy of approximately {+-} 0.001. For the cases where the reported benchmark k{sub eff} was not equal to 1.0000 the MCNP calculational results were normalized. The difference between the MCNP validation computer runs and the experimentally measured k{sub eff} is the MCNP5 v1.40 bias. The USLSTATS code (ORNL 1998) was utilized to perform the statistical analysis and generate an acceptable maximum k{sub eff} limit for calculations of the intermediate enriched uranium type systems.

FINFROCK SH

2009-12-10T23:59:59.000Z

454

In Search of a Statistically Valid Volatility Risk Factor  

E-Print Network [OSTI]

The cross- section of volatility and expected returns, Theof a Statistically Valid Volatility Risk Factor (revised)of a Statistically Valid Volatility Risk Factor Robert M.

Anderson, Robert M.; Bianchi, Stephen W.; Goldberg, Lisa R.

2013-01-01T23:59:59.000Z

455

DOE Lighting Program Update: LED Validation Activities | Department...  

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

DOE Lighting Program Update: LED Validation Activities DOE Lighting Program Update: LED Validation Activities Presentation covers the DOE Lighting Program update and is given at...

456

Vehicle Technologies Office Merit Review 2014: Validation of...  

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

Validation of Material Models for Automotive Carbon Fiber Composite Structures Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon...

457

HEV, PHEV, EV Test Standard Development and Validation | Department...  

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

HEV, PHEV, EV Test Standard Development and Validation HEV, PHEV, EV Test Standard Development and Validation 2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies...

458

HEV, PHEV, BEV Test Standard Validation | Department of Energy  

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

HEV, PHEV, BEV Test Standard Validation HEV, PHEV, BEV Test Standard Validation 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and...

459

Impact of Battery Management on Fuel Efficiency Validity | Department...  

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

Validity Impact of Battery Management on Fuel Efficiency Validity 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer...

460

Demonstrating and Validating a Next Generation Model-Based Controller...  

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

and Validating a Next Generation Model-Based Controller for Fuel Efficient, Low Emissions Diesel Engines Demonstrating and Validating a Next Generation Model-Based Controller for...

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

On the Variability of Wind Power Input to the Oceans with a Focus on the Subpolar North Atlantic  

E-Print Network [OSTI]

Variations in power input to the ocean using a recent global reanalysis extending back to 1871 show a strong trend in the net power input since then, a trend dominated by the Southern Ocean region. This trend is interpreted ...

Zhai, Xiaoming

462

A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics  

E-Print Network [OSTI]

A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-word similarity metrics to solve the important task of assessing natural language student input in dialogue of assessing natural language student input in dialogue-based tutoring systems where the primary form

Rus, Vasile

463

Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data  

E-Print Network [OSTI]

Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data the contribution from the anticyclonic frequencies dominate the wind energy input. The latitudinal and seasonal variations of the wind energy input to the Ekman layer are closely related to the variations of the wind

Gille, Sarah T.

464

Efficient time-optimal two-corner trajectory planning algorithm for differential-driven wheeled mobile robots with bounded motor control inputs  

Science Journals Connector (OSTI)

Abstract We propose an efficient time-optimal trajectory planning algorithm for differential-driven wheeled mobile robots with bounded motor control inputs in the environment with cranked road where two corners with arbitrary angles exist. Based on dynamics for differential-driven wheeled mobile robots including actuating motors as well as on the bangbang principle for time-optimality, we plan the time-optimal free path trajectory which unifies path planning and trajectory generation. Thus it improves total time significantly while handling obstacle avoidance. We divide our trajectory into three sections and then divide each section into an appropriate number of subsections to make five subsections in total. We introduce the concept of transition angle to solve the problem with formulating search loops efficiently. Numerical results are provided to validate the effectiveness of the proposed algorithm.

Yunjeong Kim; Byung Kook Kim

2014-01-01T23:59:59.000Z

465

Reviews and Validations | Department of Energy  

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

Reviews and Reviews and Validations Reviews and Validations External Independent Review (EIR) Procedures Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital Assets, the Office of Acquisition and Project Management (OAPM) must perform a Performance Baseline External Independent Review (EIR) prior to Critical Decision (CD) 2, and a Construction/Execution Readiness EIR for all Major System projects prior to CD-3. The EIR Standard Operating Procedures (SOP) discuss all elements of EIRs including review scope, review process, Corrective Action Plans, and OAPM's Performance Baseline Validation Process. The intent of the SOP is to make clear the OAPM expectations for both the CD-2 and CD-3 EIR, and thereby facilitate the project planning process. In particular, OAPM expects that the Scope of

466

Data Validation Using Data Descriptors Data validation is often defined by six data descriptors  

E-Print Network [OSTI]

APPENDIX N Data Validation Using Data Descriptors Data validation is often defined by six data descriptors: 1) reports to decision maker 2) documentation 3) data sources 4) analytical method and detection limit 5) data review 6) data quality indicators The decision maker or reviewer examines the data

467

,"U.S. Downstream Processing of Fresh Feed Input"  

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

Annual",2012,"6/30/1987" Annual",2012,"6/30/1987" ,"Release Date:","9/27/2013" ,"Next Release Date:","9/26/2014" ,"Excel File Name:","pet_pnp_dwns_dc_nus_mbblpd_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_dwns_dc_nus_mbblpd_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:17:28 AM" "Back to Contents","Data 1: U.S. Downstream Processing of Fresh Feed Input" "Sourcekey","M_NA_YDR_NUS_MBBLD","MCRCCUS2","MCRCHUS2","MCRDFUS2" "Date","U.S. Downstream Processing of Fresh Feed Input by Catalytic Reforming Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Catalytic Cracking Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Catalytic Hydrocracking Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Delayed and Fluid Coking Units (Thousand Barrels per Day)"

468

LCA of cropping systems with different external input levels for energetic purposes  

Science Journals Connector (OSTI)

Biofuels could become increasingly important for agriculture; however there is growing concern regarding the possible environmental drawbacks due to the risks of increased inputs during crop cultivation. These risks need to be evaluated in order to assess the best management practices. In this study, a life cycle assessment (LCA) was carried out: (i) to evaluate the environmental impacts of three cropping systems characterized by different external input levels (low S1, medium S2 and high S3) applied to sunflower and maize, both in rotation with wheat, in a Mediterranean region; (ii) to estimate the environmental benefits of the optimization of cropping systems for energy management. Outputinput ratio, net energy balance, global warming potential (GWP), eutrophication potential (EP) and acidification potential (AP) were used as LCA impact categories. Data from cropping systems (external input and crop yields) were collected from a long-term experiment carried out in the coastal plain of Tuscany; data regarding fertilizers, machinery and pesticide production were taken from literature. The results obtained showed S1 with the highest outputinput ratios and the lowest impact for the selected impact categories. The other cropping systems S2 and S3 showed limited differences between them for all the impact categories evaluated. Fertilizer use and application, irrigation and machinery use caused most of the environmental impacts and energy consumption. The allocation procedure, showing residues as co-products, had a strong influence on the overall efficiency of agricultural systems.

Pietro Goglio; Enrico Bonari; Marco Mazzoncini

2012-01-01T23:59:59.000Z

469

Validation Analysis of the Shoal Groundwater Flow and Transport Model  

SciTech Connect (OSTI)

Environmental restoration at the Shoal underground nuclear test is following a process prescribed by a Federal Facility Agreement and Consent Order (FFACO) between the U.S. Department of Energy, the U.S. Department of Defense, and the State of Nevada. Characterization of the site included two stages of well drilling and testing in 1996 and 1999, and development and revision of numerical models of groundwater flow and radionuclide transport. Agreement on a contaminant boundary for the site and a corrective action plan was reached in 2006. Later that same year, three wells were installed for the purposes of model validation and site monitoring. The FFACO prescribes a five-year proof-of-concept period for demonstrating that the site groundwater model is capable of producing meaningful results with an acceptable level of uncertainty. The corrective action plan specifies a rigorous seven step validation process. The accepted groundwater model is evaluated using that process in light of the newly acquired data. The conceptual model of ground water flow for the Project Shoal Area considers groundwater flow through the fractured granite aquifer comprising the Sand Springs Range. Water enters the system by the infiltration of precipitation directly on the surface of the mountain range. Groundwater leaves the granite aquifer by flowing into alluvial deposits in the adjacent basins of Fourmile Flat and Fairview Valley. A groundwater divide is interpreted as coinciding with the western portion of the Sand Springs Range, west of the underground nuclear test, preventing flow from the test into Fourmile Flat. A very low conductivity shear zone east of the nuclear test roughly parallels the divide. The presence of these lateral boundaries, coupled with a regional discharge area to the northeast, is interpreted in the model as causing groundwater from the site to flow in a northeastward direction into Fairview Valley. Steady-state flow conditions are assumed given the absence of groundwater withdrawal activities in the area. The conceptual and numerical models were developed based upon regional hydrogeologic investigations conducted in the 1960s, site characterization investigations (including ten wells and various geophysical and geologic studies) at Shoal itself prior to and immediately after the test, and two site characterization campaigns in the 1990s for environmental restoration purposes (including eight wells and a year-long tracer test). The new wells are denoted MV-1, MV-2, and MV-3, and are located to the northnortheast of the nuclear test. The groundwater model was generally lacking data in the north-northeastern area; only HC-1 and the abandoned PM-2 wells existed in this area. The wells provide data on fracture orientation and frequency, water levels, hydraulic conductivity, and water chemistry for comparison with the groundwater model. A total of 12 real-number validation targets were available for the validation analysis, including five values of hydraulic head, three hydraulic conductivity measurements, three hydraulic gradient values, and one angle value for the lateral gradient in radians. In addition, the fracture dip and orientation data provide comparisons to the distributions used in the model and radiochemistry is available for comparison to model output. Goodness-of-fit analysis indicates that some of the model realizations correspond well with the newly acquired conductivity, head, and gradient data, while others do not. Other tests indicated that additional model realizations may be needed to test if the model input distributions need refinement to improve model performance. This approach (generating additional realizations) was not followed because it was realized that there was a temporal component to the data disconnect: the new head measurements are on the high side of the model distributions, but the heads at the original calibration locations themselves have also increased over time. This indicates that the steady-state assumption of the groundwater model is in error. To test the robustness of the model d

A. Hassan; J. Chapman

2008-11-01T23:59:59.000Z

470

DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A  

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

DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A PREFERRED ALTERNATIVE FOR DISPOSAL OF GREATER-THAN-CLASS C WASTE DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A PREFERRED ALTERNATIVE FOR DISPOSAL OF GREATER-THAN-CLASS C WASTE March 1, 2011 - 12:00pm Addthis During the months of April and May, 2011 the Department of Energy's Office of Environmental Management will be holding nine public hearings on the Draft Environmental Impact Statement (EIS) for the Disposal of Greater-Than-Class C (GTCC) Low-Level Radioactive Waste and GTCC-Like Waste. Hearings will be held at the each of the sites being considered for disposal of GTCC wastes and in Washington, DC. DOE does not have a preferred alternative at this time. These hearings will

471

DOE Seeks Further Public Input on How Best To Streamline Existing  

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

Further Public Input on How Best To Streamline Existing Further Public Input on How Best To Streamline Existing Regulations DOE Seeks Further Public Input on How Best To Streamline Existing Regulations December 7, 2011 - 12:34pm Addthis The Department of Energy (DOE) has announced a further step to implementing the President's Executive Order on Improving Regulatory Review. The Executive Order directs federal agencies to review existing regulations and determine whether they are still necessary and crafted effectively to solve current problems. Engaging the public in an open, transparent process is a crucial step in DOE's regulatory review process. Because public comments in response to the Request for Information (RFI) issued in January were important in the development of DOE's plan for retrospective regulatory review, DOE issued a second RFI this week asking the public how

472

,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities"  

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

Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","9/2013","1/15/1985" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_crq_a_epc0_ycs_pct_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_crq_a_epc0_ycs_pct_m.htm" ,"Source:","Energy Information Administration"

473

Inputoutput signal selection for damping of power system oscillations using wind power plants  

Science Journals Connector (OSTI)

Abstract During the last years wind power has emerged as one of the most important sources in the power generation share. Due to stringent Grid Code requirements, wind power plants (WPPs) should provide ancillary services such as fault ride-through and damping of power system oscillations to resemble conventional generation. Through an adequate selection of inputoutput signal pairs, \\{WPPs\\} can be effectively used to provide electromechanical oscillations damping. In this paper, different analysis techniques considering both controllability and observability measures and inputoutput interactions are compared and critically examined. Recommendations are drawn to select the best signal pairs available from \\{WPPs\\} to contribute to power oscillations damping. Control system design approaches including single-input single-output and multivariable control are considered. The recommendation of analysis techniques is justified through the tools usage in a test system including a WPP.

Jos Luis Domnguez-Garca; Carlos E. Ugalde-Loo; Fernando Bianchi; Oriol Gomis-Bellmunt

2014-01-01T23:59:59.000Z

474

A multiple-input operational transconductance amplifier with a wide linear range  

E-Print Network [OSTI]

off'set is canceled 4. 3 Current mirrors 4. 4 Circuit I, a two- input COTA 4. 5 DC transfer function for circuit, I 37 39 40 tx 4. 6 4. 7 4. 8 4. 9 4. 10 5. 1 5. 2 5. 3 5. 4 5. 5 5. 6 5. 7 5. 8a 5. 8b 6. 1 6. 2a 6. 2b 6. 3 6...; (C1 G2 Vo )C2 Fig. 2. 2 An OTA filter circuit. The input stage is an emitter ? coupled differential amplifier and the output stage consists of one or more current mirrors. Of the two sections, the input stage has the most affect...

Reed, Russell Deryl

2012-06-07T23:59:59.000Z

475

USDA, Departments of Energy and Navy Seek Input from Industry to Advance  

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

USDA, Departments of Energy and Navy Seek Input from Industry to USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation August 30, 2011 - 12:23pm Addthis WASHINGTON, Aug. 30, 2011 -Secretary of Agriculture Tom Vilsack, Secretary of Energy Steven Chu, and Secretary of the Navy Ray Mabus today announced the next step in the creation of a public-private partnership to develop drop-in advanced biofuels. The Secretaries issued a Request for Information (RFI) laying out the Administration's goals, assumptions, and tools and requesting from industry specific ideas for how to leverage private capital markets to establish a commercially viable drop-in biofuels

476

COMPOSABLE SIMULATION MODELS AND THEIR FORMAL VALIDATION  

E-Print Network [OSTI]

COMPOSABLE SIMULATION MODELS AND THEIR FORMAL VALIDATION CLAUDIA SZABO B. Eng., "POLITEHNICA and simulation, shared models are reused and as- sembled in various combinations to meet different user strings simplifies and facilitates automated syntactic verification and model discovery and selection. An

Teo, Yong-Meng

477

Testing the Reasoning for Question Answering Validation  

Science Journals Connector (OSTI)

......de Rijke M, Sacaleanu B, Santos D, Sutcliffe R. Overview...Validation ANSELMO PE AS, LVARO RODRIGO, VALENT N SAMA and FELISA...Sacaleanu (German) and Diana Santos (Portuguese). Special thanks...Rijke, B. Sacaleanu, D. Santos and R. Sutcliffe. Overview......

Anselmo Peas; lvaro Rodrigo; Valentn Sama; Felisa Verdejo

2008-06-01T23:59:59.000Z

478

Validating Complex Agent Behavior Scott A. Wallace  

E-Print Network [OSTI]

Behavior by Scott A. Wallace Chair: John E. Laird Developing software agents that replicate human behaviorValidating Complex Agent Behavior by Scott A. Wallace A dissertation submitted in partial) in The University of Michigan 2003 Doctoral Committee: Professor John E. Laird, Chair Associate Professor William P

Wallace, Scott

479

Validation and Interactivity of Web API Documentation  

E-Print Network [OSTI]

Validation and Interactivity of Web API Documentation Peter J. Danielsen and Alan Jeffrey Bell Labs Alcatel-Lucent Naperville, IL, USA Abstract--Many Web APIs (by which we mean ones using HTTP as the application protocol) do not publish a machine- readable API description (in a language such as WADL or WSDL

Jeffrey, Alan

480

RELAP-7 SOFTWARE VERIFICATION AND VALIDATION PLAN  

SciTech Connect (OSTI)

This INL plan comprehensively describes the software for RELAP-7 and documents the software, interface, and software design requirements for the application. The plan also describes the testing-based software verification and validation (SV&V) processa set of specially designed software models used to test RELAP-7.

Smith, Curtis L [Idaho National Laboratory; Choi, Yong-Joon [Idaho National Laboratory; Zou, Ling [Idaho National Laboratory

2014-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "gateway input validation" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.2,1.1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",12605,1209,3303,6386,1706,2.9

482

Table A55. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 2" ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion ","Combined-Cycle","Internal Combustion","Heat Recovered from","Cogeneration",,"RSE" "SIC"," ",,"or Fluidized","Turbines with","Combustion","Engines with","High-Temperature","Technologies","None","Row"

483

Table A39. Selected Combustible Inputs of Energy for Heat, Power, and  

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

9. Selected Combustible Inputs of Energy for Heat, Power, and" 9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use Categories","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Factors" "Total United States" "RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6

484

Effect of input pulse chirp on nonlinear energy deposition and plasma excitation in water  

E-Print Network [OSTI]

We analyze numerically and experimentally the effect of the input pulse chirp on the nonlinear energy transfer from 5 {\\mu}J fs-pulses at 800 nm to water. Numerical results are also shown for pulses at 400 nm, where linear losses are minimized, and for different focusing geometries. Input chirp is found to have a big impact on the transmitted energy and on the plasma distribution around focus, thus providing a simple and effective mechanism to tune the electron density and energy deposition. We identify three relevant ways in which plasma features may be tuned.

Milin, C; Brelet, Y; Jukna, V; Houard, A; Mysyrowicz, A; Couairon, A

2014-01-01T23:59:59.000Z

485

Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS" ,"Industry-Specific Technologies" ,"One or More Industry-Specific Technologies Present",2353,9 ," Infrared Heating",607,13 ," Microwave Drying",127,21 ," Closed-Cycle Heat Pump System Used to Recover Heat",786,19

486

Table A13. Selected Combustible Inputs of Energy for Heat, Power, and  

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

3. Selected Combustible Inputs of Energy for Heat, Power, and" 3. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type," " Census Region, Census Division, and End Use, 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,"Coal" ,,,"Distillate",,,"(excluding" ,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,"for","Residual","and","Natural Gas(c)",,"and Breeze)","RSE" ,"Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","LPG","(1000 short","Row"

487

Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Group and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors" ,"RSE Column Factors:",0.6,1.3,1,1,0.9,1.2,1.2

488

Table A41. Total Inputs of Energy for Heat, Power, and Electricity  

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

A41. Total Inputs of Energy for Heat, Power, and Electricity" A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",10743,1150,2819,5309,1464,2.6,,,"/WIR{D}~"

489

Using Feedforward Neural Networks and Forward Selection of Input Variables for an Ergonomics Data  

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Using Feedforward Neural Networks and Forward Selection of Input Variables for an Ergonomics Data-gradient algorithm to develop an FNN. This article presents an incremental step in the use of FNNs for ergonomics enhancing the effectiveness of the use of neural networks when observations are missing from ergonomics

Kaber, David B.

490

Are plasma depletions in Saturn's ionosphere a signature of time-dependent water input?  

E-Print Network [OSTI]

Are plasma depletions in Saturn's ionosphere a signature of time- dependent water input? Luke Moore the presence of numerous ``ionospheric holes'', or plasma depletions, in Saturn's upper atmosphere that cannot the observed plasma depletions. The required influxes present a target to assess for the possible sources

Mendillo, Michael

491

Selecting the appropriate input data set when configuring a permanent workforce  

E-Print Network [OSTI]

of new personnel planning and scheduling problems for management. With over 70% of the global workforceSelecting the appropriate input data set when configuring a permanent workforce Jonathan F. Bard to use when running a scheduling model to select a permanent workforce for a service facility. Because

Bard, Jonathan

492

Response of magnetostrictive smart structures to sinusoidal and step force inputs  

Science Journals Connector (OSTI)

Constitutive equations of magnetostrictive smart materials involving mechanical and magnetic fields are presented via Hamilton's principle. Finite element equations are used to solve the equations of motion subjected to different force inputs. Magnetostrictive ... Keywords: Fast Fourier Transformation, Magnotostriction, finite element, magnetic response, smart materials

Sultan Aljahdali; Syed J. Hyder

2006-04-01T23:59:59.000Z

493

Soft-Input, Iterative, Reed-Solomon Decoding using Redundant Parity-Check Equations  

E-Print Network [OSTI]

approach to the iterative decoding of Reed-Solomon (RS) codes. The pre- sented methodology utilizesSoft-Input, Iterative, Reed-Solomon Decoding using Redundant Parity-Check Equations Jason Bellorado techniques is achievable with the presented methodology. The complexity of the proposed algorithm is orders

Kavcic, Aleksandar

494

Introduction The bioenergy industry is pursuing low-input crops to be  

E-Print Network [OSTI]

1 Introduction The bioenergy industry is pursuing low-input crops to be grown on marginal lands the unintentional introduction and spread of potentially invasive species. Background Information The bioenergy- generation bioenergy crops are grown specifically for biomass pro- duction. Therefore, bioenergy crops

Liskiewicz, Maciej

495

Excitatory inputs to spiny cells in layers 4 and 6 of cat striate cortex  

Science Journals Connector (OSTI)

...into two or more classes. The great bulk of 31 EPSPs...strongly reminiscent of class 1 spiny stellate...with the apparently greater frequency (42...histograms of the three classes of input. Even...1999) they can be greater, for example...

2002-01-01T23:59:59.000Z

496

Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs  

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Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs Ehsan Elhamifar of rank tests on the parameters of the JLS when the discrete state sequence is arbitrary. Our key verify observ- ability by checking a number of rank tests that is only quadratic in the number

497

Economic Input?Output Life-Cycle Assessment of Trade Between Canada and the United States  

Science Journals Connector (OSTI)

We use an economic input?output life-cycle assessment (EIO-LCA) technique to estimate the economy-wide energy intensity and greenhouse gas (GHG) emissions intensity for 45 manufacturing and resource sectors in Canada and the United States. ... Support?Activities?for?Agriculture ...

Jonathan Norman; Alex D. Charpentier; Heather L. MacLean

2007-01-23T23:59:59.000Z

498

Nuclear norm system identification with missing inputs and outputs Zhang Liua,  

E-Print Network [OSTI]

Nuclear norm system identification with missing inputs and outputs Zhang Liua, , Anders Hanssonb,1 formulation and uses the nuclear norm heuristic for structured low-rank matrix approximation, with the missing of the alternating direc- tion method of multipliers (ADMM) to solve regularized or non-regularized nuclear norm

Vandenberghe, Lieven

499

Handling Ambiguity via Input-Output Kernel Learning Xinxing Xu Ivor W. Tsang Dong Xu  

E-Print Network [OSTI]

of Computer Engineering, Nanyang Technological University, Singapore xuxi0006@ntu.edu.sg IvorTsang@ntu.edu.sg dongxu@ntu.edu.sg Abstract--Data ambiguities exist in many data mining and machine learning applications the effectiveness of our proposed IOKL framework. Keywords-Group Multiple Kernel Learning; Input-Output Kernel

Tsang Wai Hung "Ivor"

500

Nonlinear control for systems with bounded inputs: Real-time embedded control applied to UAVs  

E-Print Network [OSTI]

Nonlinear control for systems with bounded inputs: Real-time embedded control applied to UAVs Farid) UAVs including conventional helicopters, four- rotors aircraft (Draganflyer) and several designs for small aerial vehicles, some restrictions and conditions specific to small UAVs have to be considered

Sontag, Eduardo