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We encourage you to perform a real-time search of NLEBeta
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1

Tropical Africa: Calculated Actual Aboveground Live Biomass in Open and  

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

Calculated Actual Aboveground Live Biomass in Open and Calculated Actual Aboveground Live Biomass in Open and Closed Forests (1980) image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNL/CDIAC-92, NDP-055. Carbon Dioxide Information Analysis Center, U.S. Department of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. More Maps Land Use Maximum Potential Biomass Density Area of Closed Forests (By Country) Mean Biomass of Closed Forests (By Country) Area of Open Forests (By Country) Mean Biomass of Open Forests (By County) Percent Forest Cover (By Country) Total Forest Biomass (By Country) Population Density - 1990 (By Administrative Unit) Population Density - 1980 (By Administrative Unit) Population Density - 1970 (By Administrative Unit) Population Density - 1960 (By Administrative Unit)

2

New Mariners and a Massive Map: Berkeley Computers Calculate What's in the  

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

Mariners and a Massive Map: Berkeley Computers Calculate What's Mariners and a Massive Map: Berkeley Computers Calculate What's in the Sky New Mariners and a Massive Map: Berkeley Computers Calculate What's in the Sky February 2, 2012 - 12:08pm Addthis This is the Southern Galactic Cap view as recorded by the Sloan Digital Sky Survey. A 2.5-meter telescope at Apache Point Observatory in New Mexico took in light from over a third of the total area of the sky (14,000 square degrees) including 1.5 million galaxies. | Photo courtesy of the Sloan Digital Sky Survey. This is the Southern Galactic Cap view as recorded by the Sloan Digital Sky Survey. A 2.5-meter telescope at Apache Point Observatory in New Mexico took in light from over a third of the total area of the sky (14,000 square degrees) including 1.5 million galaxies. | Photo courtesy of the Sloan

3

Calculating What's in the Universe from the Biggest Color 3-D Map  

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

Calculating What's Calculating What's in the Universe from the Biggest Color 3-D Map Calculating What's in the Universe from the Biggest Color 3-D Map Berkeley Lab scientists and their Sloan Digital Sky Survey colleagues use galactic brightness to build a precision model of the cosmos January 11, 2012 | Tags: Astrophysics Paul Preuss, +1 510 486 6249, paul_preuss@lbl.gov This image shows over a million luminous galaxies at redshifts indicating times when the universe was between seven and eleven billion years old, from which the sample in the current studies was selected. (By David Kirkby of the University of California at Irvine and the SDSS collaboration.) Since 2000, the three Sloan Digital Sky Surveys (SDSS I, II, III) have surveyed well over a quarter of the night sky and produced the biggest

4

Mapping  

Science Journals Connector (OSTI)

Mapping is a creative method that invites participants to visually represent or depict the aspect of their lives that is under investigation. The underlying aim of a mapping exercise is to elicit a full, holis...

Valerie A. Futch

2014-01-01T23:59:59.000Z

5

Fermilab Map Instructions  

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

This Fermilab interactive map is actually a series of maps. The first map in the series--the map that you just clicked on to get this window--is an overview of the entire Fermilab...

6

Maps  

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

Maps Maps Maps Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Contact LANL Directory 667-5061 Badge Office (505) 667-6901 Email Institutional Visits and Events (505) 667-2222 Location and directions How to get to LANL Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Laboratory facilities can be found in 50 different work areas that are spread across 36 square miles. Below is the general location of the Otowi Building, Badge Office, cafeteria, and Research Library. V Screen reader users: click here for plain HTML Go to Google Maps Home Casa Grande Drive, Los Alamos, NM

7

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

8

Calculation of loosely bound levels for three-body quantum systems using hyperspherical coordinates with a mapping procedure  

SciTech Connect (OSTI)

In view of modelization of experiments involving cold atoms and molecules, we develop a method that allows us to calculate weakly bound levels of triatomic molecules. The method combines (1) the hyperspherical coordinates to describe interparticle motion in the three-body system, (2) the solution of the Schroedinger equation in two steps: determination of adiabatic states for a fixed hyper-radius and then solution of a set of coupled hyper-radial equations using the slow variable representation of Tolstikhin et al. [J. Phys. B: At. Mol. Opt. Phys. 29, L389 (1996)], (3) and a mapping procedure that reduces considerably the number of basis functions needed to represent wave functions of weakly bound levels. We apply the method to the three different systems: the helium trimer {sup 4}He{sub 3}, isotopomers of the H{sub 3}{sup +} ion, and finally a model three-body problem involving three nucleons. For all these systems, we show that the suggested method provides accurate results.

Kokoouline, Viatcheslav [Department of Physics, University of Central Florida, Orlando, Florida 32816 (United States); Laboratoire Aime Cotton, CNRS, Bat. 505, Campus d'Orsay, 91405 Orsay Cedex (France); Masnou-Seeuws, Francoise [Laboratoire Aime Cotton, CNRS, Bat. 505, Campus d'Orsay, 91405 Orsay Cedex (France)

2006-01-15T23:59:59.000Z

9

Maps and Mapping Lab 6: Terrain Representation  

E-Print Network [OSTI]

Maps and Mapping Lab 6: Terrain Representation OBJECTIVES Representing the earth's relief on a two. In this exercise, we will examine some ways that terrain can be represented on a map and in digital form. You exaggeration using Google Earth. MATERIALS USGS Quadrangle map, Ruler, Pencil, Calculator, Google Earth (4

Clarke, Keith

10

Sketch Map Analysis Using GIS Buffer Operation  

Science Journals Connector (OSTI)

We developed a method to analyze sketch maps by GIS, and applied it to an actual case ... using buffer operation was more effective for sketch map analyses than other methods, such as the ... micro-genetic cognit...

Kohei Okamoto; Kei-ichi Okunuki…

2005-01-01T23:59:59.000Z

11

Table 13. Coal Production, Projected vs. Actual  

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

Coal Production, Projected vs. Actual" Coal Production, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",999,1021,1041,1051,1056,1066,1073,1081,1087,1098,1107,1122,1121,1128,1143,1173,1201,1223 "AEO 1995",,1006,1010,1011,1016,1017,1021,1027,1033,1040,1051,1066,1076,1083,1090,1108,1122,1137 "AEO 1996",,,1037,1044,1041,1045,1061,1070,1086,1100,1112,1121,1135,1156,1161,1167,1173,1184,1190 "AEO 1997",,,,1028,1052,1072,1088,1105,1110,1115,1123,1133,1146,1171,1182,1190,1193,1201,1209 "AEO 1998",,,,,1088,1122,1127.746338,1144.767212,1175.662598,1176.493652,1182.742065,1191.246948,1206.99585,1229.007202,1238.69043,1248.505981,1260.836914,1265.159424,1284.229736

12

Table 22. Energy Intensity, Projected vs. Actual  

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

Energy Intensity, Projected vs. Actual" Energy Intensity, Projected vs. Actual" "Projected" " (quadrillion Btu / real GDP in billion 2005 chained dollars)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",11.24893441,11.08565002,10.98332766,10.82852279,10.67400621,10.54170176,10.39583203,10.27184573,10.14478673,10.02575883,9.910410202,9.810812106,9.69894802,9.599821783,9.486985399,9.394733753,9.303329725,9.221322623 "AEO 1995",,10.86137373,10.75116461,10.60467959,10.42268977,10.28668187,10.14461664,10.01081222,9.883759026,9.759022105,9.627404949,9.513643295,9.400418762,9.311729546,9.226142899,9.147374752,9.071102491,8.99599906 "AEO 1996",,,10.71047701,10.59846153,10.43655044,10.27812088,10.12746866,9.9694713,9.824165152,9.714832565,9.621874334,9.532324916,9.428169355,9.32931308,9.232716414,9.170931044,9.086870061,9.019963901,8.945602337

13

Table 14. Coal Production, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Coal Production, Projected vs. Actual Coal Production, Projected vs. Actual (million short tons) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 914 939 963 995 1031 1080 AEO 1983 900 926 947 974 1010 1045 1191 AEO 1984 899 921 948 974 1010 1057 1221 AEO 1985 886 909 930 940 958 985 1015 1041 1072 1094 1116 AEO 1986 890 920 954 962 983 1017 1044 1073 1097 1126 1142 1156 1176 1191 1217 AEO 1987 917 914 932 962 978 996 1020 1043 1068 1149 AEO 1989* 941 946 977 990 1018 1039 1058 1082 1084 1107 1130 1152 1171 AEO 1990 973 987 1085 1178 1379 AEO 1991 1035 1002 1016 1031 1043 1054 1065 1079 1096 1111 1133 1142 1160 1193 1234 1272 1309 1349 1386 1433 AEO 1992 1004 1040 1019 1034 1052 1064 1074 1087 1102 1133 1144 1156 1173 1201 1229 1272 1312 1355 1397 AEO 1993 1039 1043 1054 1065 1076 1086 1094 1102 1125 1136 1148 1161 1178 1204 1237 1269 1302 1327 AEO 1994 999 1021

14

Extension maps  

E-Print Network [OSTI]

We define extension maps as maps that extend a system (through adding ancillary systems) without changing the state in the original system. We show, using extension maps, why a completely positive operation on an initially entangled system results in a non positive mapping of a subsystem. We also show that any trace preserving map, either positive or negative, can be decomposed in terms of an extension map and a completely positive map.

Aik-meng Kuah; E. C. G. Sudarshan

2005-03-12T23:59:59.000Z

15

Table 23. Energy Intensity, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual (quadrillion Btu / $Billion Nominal GDP) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 20.1 18.5 16.9 15.5 14.4 13.2 AEO 1983 19.9 18.7 17.4 16.2 15.1 14.0 9.5 AEO 1984 20.1 19.0 17.7 16.5 15.5 14.5 10.2 AEO 1985 20.0 19.1 18.0 16.9 15.9 14.7 13.7 12.7 11.8 11.0 10.3 AEO 1986 18.3 17.8 16.8 16.1 15.2 14.3 13.4 12.6 11.7 10.9 10.2 9.5 8.9 8.3 7.8 AEO 1987 17.6 17.0 16.3 15.4 14.5 13.7 12.9 12.1 11.4 8.2 AEO 1989* 16.9 16.2 15.2 14.2 13.3 12.5 11.7 10.9 10.2 9.6 9.0 8.5 8.0 AEO 1990 16.1 15.4 11.7 8.6 6.4 AEO 1991 15.5 14.9 14.2 13.6 13.0 12.5 11.9 11.3 10.8 10.3 9.7 9.2 8.7 8.3 7.9 7.4 7.0 6.7 6.3 6.0 AEO 1992 15.0 14.5 13.9 13.3 12.7 12.1 11.6 11.0 10.5 10.0 9.5 9.0 8.6 8.1 7.7 7.3 6.9 6.6 6.2 AEO 1993 14.7 13.9 13.4 12.8 12.3 11.8 11.2 10.7 10.2 9.6 9.2 8.7 8.3 7.8 7.4 7.1 6.7 6.4

16

Location Map  

SciTech Connect (OSTI)

Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

Lane, Michael

2013-06-27T23:59:59.000Z

17

Location Map  

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

Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

Lane, Michael

18

A Sensitivity Study of Building Performance Using 30-Year Actual Weather  

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

Sensitivity Study of Building Performance Using 30-Year Actual Weather Sensitivity Study of Building Performance Using 30-Year Actual Weather Data Title A Sensitivity Study of Building Performance Using 30-Year Actual Weather Data Publication Type Conference Paper Year of Publication 2013 Authors Hong, Tianzhen, Wen-Kuei Chang, and Hung-Wen Lin Date Published 05/2013 Keywords Actual meteorological year, Building simulation, Energy use, Peak electricity demand, Typical meteorological year, Weather data Abstract Traditional energy performance calculated using building simulation with the typical meteorological year (TMY) weather data represents the energy performance in a typical year but not necessarily the average or typical energy performance of a building in long term. Furthermore, the simulated results do not provide the range of variations due to the change of weather, which is important in building energy management and risk assessment of energy efficiency investment. This study analyzes the weather impact on peak electric demand and energy use by building simulation using 30-year actual meteorological year (AMY) weather data for three types of office buildings at two design efficiency levels across all 17 climate zones. The simulated results from the AMY are compared to those from TMY3 to determine and analyze the differences. It was found that yearly weather variation has significant impact on building performance especially peak electric demand. Energy savings of building technologies should be evaluated using simulations with multi-decade actual weather data to fully consider investment risk and the long term performance.

19

Advanced Online Flux Mapping of CANDU PHWR by Least-Squares Method  

SciTech Connect (OSTI)

A least-squares method that solves both the core neutronics design equations and the in-core detector response equations on the least-squares principle is presented as a new advanced online flux-mapping method for CANada Deuterium Uranium (CANDU) pressurized heavy water reactors (PHWRs). The effectiveness of the new flux-mapping method is examined in terms of online flux-mapping calculations with numerically simulated true flux distribution and detector signals and those with the actual core-follow data for the Wolsong CANDU PHWRs in Korea. The effects of core neutronics models as well as the detector failures and uncertainties of measured detector signals on the effectiveness of the least-squares flux-mapping calculations are also examined.The following results are obtained. The least-squares method predicts the flux distribution in better agreement with the simulated true flux distribution than the standard core neutronics calculations by the finite difference method (FDM) computer code without using the detector signals. The adoption of the nonlinear nodal method based on the unified nodal method formulation instead of the FDM results in a significant improvement in prediction accuracy of the flux-mapping calculations. The detector signals estimated from the least-squares flux-mapping calculations are much closer to the measured detector signals than those from the flux synthesis method (FSM), the current online flux-mapping method for CANDU reactors. The effect of detector failures is relatively small so that the plant can tolerate up to 25% of detector failures without seriously affecting the plant operation. The detector signal uncertainties aggravate accuracy of the flux-mapping calculations, yet the effects of signal uncertainties of the order of 1% standard deviation can be tolerable without seriously degrading the prediction accuracy of the least-squares method. The least-squares method is disadvantageous because it requires longer CPU time than the existing FSM. Considering ever-increasing computer speed and the improved operational safety margin of CANDU reactors gained by accurate flux-mapping calculations, however, it is concluded that the least-squares method presents an effective alternative to the existing flux-mapping method for CANDU reactors.

Hong, In Seob [Seoul National University (Korea, Republic of); Kim, Chang Hyo [Seoul National University (Korea, Republic of); Suk, Ho Chun [Korea Atomic Energy Research Institute (Korea, Republic of)

2005-07-15T23:59:59.000Z

20

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...  

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

January 23, 2008" ,"Next Update: October 2007" ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, " ,"2005...

Note: This page contains sample records for the topic "maps calculated actual" 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

Plutonium 239 Equivalency Calculations  

SciTech Connect (OSTI)

This document provides the basis for converting actual weapons grade plutonium mass to a plutonium equivalency (PuE) mass of Plutonium 239. The conversion can be accomplished by performing calculations utilizing either: (1) Isotopic conversions factors (CF{sub isotope}), or (2) 30-year-old weapons grade conversion factor (CF{sub 30 yr}) Both of these methods are provided in this document. Material mass and isotopic data are needed to calculate PuE using the isotopic conversion factors, which will provide the actual PuE value at the time of calculation. PuE is the summation of the isotopic masses times their associated isotopic conversion factors for plutonium 239. Isotopic conversion factors are calculated by a normalized equation, relative to Plutonium 239, of specific activity (SA) and cumulated dose inhalation affects based on 50-yr committed effective dose equivalent (CEDE). The isotopic conversion factors for converting weapons grade plutonium to PuE are provided in Table-1. The unit for specific activity (SA) is curies per gram (Ci/g) and the isotopic SA values come from reference [1]. The cumulated dose inhalation effect values in units of rem/Ci are based on 50-yr committed effective dose equivalent (CEDE). A person irradiated by gamma radiation outside the body will receive a dose only during the period of irradiation. However, following an intake by inhalation, some radionuclides persist in the body and irradiate the various tissues for many years. There are three groups CEDE data representing lengths of time of 0.5 (D), 50 (W) and 500 (Y) days, which are in reference [2]. The CEDE values in the (W) group demonstrates the highest dose equivalent value; therefore they are used for the calculation.

Wen, J

2011-05-31T23:59:59.000Z

22

Shale Gas Production: Potential versus Actual GHG Emissions  

E-Print Network [OSTI]

Shale Gas Production: Potential versus Actual GHG Emissions Francis O'Sullivan and Sergey Paltsev://globalchange.mit.edu/ Printed on recycled paper #12;1 Shale Gas Production: Potential versus Actual GHG Emissions Francis O'Sullivan* and Sergey Paltsev* Abstract Estimates of greenhouse gas (GHG) emissions from shale gas production and use

23

Analysis of Web Based Solar Photovoltaic Mapping Tools  

Broader source: Energy.gov [DOE]

A PV mapping tool visually represents a specific site and calculates PV system size and projected electricity production. This report identifies the commercially available solar mapping tools and thoroughly summarizes the source data type and resolution, the visualization software program being used, user inputs, calculation methodology and algorithms, map outputs, and development costs for each map.

24

Estimation of Regional Actual Evapotranspiration in the Panama Canal Watershed  

Science Journals Connector (OSTI)

The upper Río Chagres basin is a part of the Panama Canal Watershed. The least known water balance...SEBAL...). We use an image from March 27, 2000, for estimation of the distribution of the regional actual evapo...

Jan M.H. Hendrickx; Wim G.M. Bastiaanssen; Edwin J.M. Noordman…

2005-01-01T23:59:59.000Z

25

Self-actualization as it relates to aerobic physical fitness  

E-Print Network [OSTI]

higher than the aerobic and archery group on the TC, Ex, and C scales. The archery group was significantly higher than the preaerobic and aerobic groups on the Fr and S scales. Females from the preaerobic group were significantly lower than archery... Inventory Sav Self-actualization values measures how well a person holds and lives by values of se 1f- ac tualizing people Ex Existentiality measures ability to flexibly apply self-actualizing values to one's own life Fr Feeling reactivity measures...

Russell, Kathryn Terese Vecchio

2012-06-07T23:59:59.000Z

26

experiment actually sees," Smith says. "When we were  

E-Print Network [OSTI]

experiment actually sees," Smith says. "When we were finished, we got much more ­ a method in science depend on atoms and molecules moving," Smith says. "We want to create movies of molecules science development," Smith says.--Morgan McCorkle A theoretical technique developed at ORNL is bringing

Pennycook, Steve

27

COORDINATING ADVICE AND ACTUAL TREATMENT Thomas A. Russ  

E-Print Network [OSTI]

. Unfortunately, this information is not always immediately available. For example, the exact fluid infused via an intravenous line can only be determined after someone checks the infusion bottle to determine how much fluid differ in timing and exact amount from what is actually done. For example, an infusion order might call

Russ, Thomas A.

28

Maps and Mapping Page 1 of 7  

E-Print Network [OSTI]

Maps and Mapping Page 1 of 7 OBJECTIVES This exercise covers map projection, the systematic rendering of the earth's round, three-dimensional surface onto a flat map. Any map projection inherently, and orientation of the earth's surface features. You will use Flex Projector to evaluate various map projections

Clarke, Keith

29

Maps and Mapping Page 1 of 11  

E-Print Network [OSTI]

Maps and Mapping Page 1 of 11 OBJECTIVES Online mapping is redefining the concept of maps in our culture. Cartographic mash-ups, mapping applications that combine content from multiple sources. The relative ease with which anyone can add location based information to a map has inspired a mash

Clarke, Keith

30

Site Map  

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

Home » Site Map Home » Site Map Site Map Home About Overview NERSC Mission Contact us Staff Center Leadership Sudip Dosanjh Select Publications Jeff Broughton Katie Antypas John Shalf Francesca Verdier Center Administration James Craw Norma Early Jeff Grounds Betsy MacGowan Zaida McCunney Lynn Rippe Suzanne Stevenson David Tooker Center Communications Jon Bashor Linda Vu Margie Wylie Kathy Kincade Advanced Technologies Group Nicholas Wright Brian Austin Research Projects Matthew Cordery Christopher Daley Analytics Group Peter Nugent David Camp Hank Childs Harinarayan Krishnan Burlen Loring Joerg Meyer Prabhat Oliver Ruebel Daniela Ushizima Gunther Weber Yushu Yao Computational Systems Group Jay Srinivasan James Botts Scott Burrow Tina Butler Nick Cardo Tina Declerck Ilya Malinov David Paul Larry Pezzaglia Iwona Sakrejda

31

Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance  

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

Final July 01, 2010 Final July 01, 2010 1 Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance On Real Property 1. The following is the FY 2010 implementation procedures for the field offices/sites to determine and report deferred maintenance on real property as required by the Statement of Federal Financial Accounting Standards (SFFAS) No. 6, Accounting for Property, Plant, and Equipment (PP&E) and DOE Order 430.1B, Real Property Asset Management (RPAM). a. This document is intended to assist field offices/sites in consistently and accurately applying the appropriate methods to determine and report deferred maintenance estimates and reporting of annual required and actual maintenance costs. b. This reporting satisfies the Department's obligation to recognize and record deferred

32

Table 5. Domestic Crude Oil Production, Projected vs. Actual  

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

Domestic Crude Oil Production, Projected vs. Actual Domestic Crude Oil Production, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 2508 2373 2256 2161 2088 2022 1953 1891 1851 1825 1799 1781 1767 1759 1778 1789 1807 1862 AEO 1995 2402 2307 2205 2095 2037 1967 1953 1924 1916 1905 1894 1883 1887 1887 1920 1945 1967 AEO 1996 2387 2310 2248 2172 2113 2062 2011 1978 1953 1938 1916 1920 1927 1949 1971 1986 2000 AEO 1997 2362 2307 2245 2197 2143 2091 2055 2033 2015 2004 1997 1989 1982 1975 1967 1949 AEO 1998 2340 2332 2291 2252 2220 2192 2169 2145 2125 2104 2087 2068 2050 2033 2016 AEO 1999 2340 2309 2296 2265 2207 2171 2141 2122 2114 2092 2074 2057 2040 2025 AEO 2000 2193 2181 2122 2063 2016 1980 1957 1939 1920 1904 1894 1889 1889

33

Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance  

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

Draft July 9, 2009 Draft July 9, 2009 1 Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance On Real Property 1. The following is the FY 2009 implementation procedures for the field offices/sites to determine and report deferred maintenance on real property as required by the Statement of Federal Financial Accounting Standards (SFFAS) No. 6, Accounting for Property, Plant, and Equipment (PP&E) and DOE Order 430.1B, Real Property Asset Management (RPAM). a. This document is intended to assist field offices/sites in consistently and accurately applying the appropriate methods to determine and report deferred maintenance estimates and reporting of annual required and actual maintenance costs. b. This reporting satisfies the Department's obligation to recognize and record deferred

34

Table 12. Total Coal Consumption, Projected vs. Actual  

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

Coal Consumption, Projected vs. Actual" Coal Consumption, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",920,928,933,938,943,948,953,958,962,967,978,990,987,992,1006,1035,1061,1079 "AEO 1995",,935,940,941,947,948,951,954,958,963,971,984,992,996,1002,1013,1025,1039 "AEO 1996",,,937,942,954,962,983,990,1004,1017,1027,1033,1046,1067,1070,1071,1074,1082,1087 "AEO 1997",,,,948,970,987,1003,1017,1020,1025,1034,1041,1054,1075,1086,1092,1092,1099,1104 "AEO 1998",,,,,1009,1051,1043.875977,1058.292725,1086.598145,1084.446655,1089.787109,1096.931763,1111.523926,1129.833862,1142.338257,1148.019409,1159.695312,1162.210815,1180.029785

35

Table 4. Total Petroleum Consumption, Projected vs. Actual  

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

Petroleum Consumption, Projected vs. Actual Petroleum Consumption, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 6450 6566 6643 6723 6811 6880 6957 7059 7125 7205 7296 7377 7446 7523 7596 7665 7712 7775 AEO 1995 6398 6544 6555 6676 6745 6822 6888 6964 7048 7147 7245 7337 7406 7472 7537 7581 7621 AEO 1996 6490 6526 6607 6709 6782 6855 6942 7008 7085 7176 7260 7329 7384 7450 7501 7545 7581 AEO 1997 6636 6694 6826 6953 7074 7183 7267 7369 7461 7548 7643 7731 7793 7833 7884 7924 AEO 1998 6895 6906 7066 7161 7278 7400 7488 7597 7719 7859 7959 8074 8190 8286 8361 AEO 1999 6884 7007 7269 7383 7472 7539 7620 7725 7841 7949 8069 8174 8283 8351 AEO 2000 7056 7141 7266 7363 7452 7578 7694 7815 7926 8028 8113 8217 8288

36

Table 6. Petroleum Net Imports, Projected vs. Actual Projected  

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

Petroleum Net Imports, Projected vs. Actual Petroleum Net Imports, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 2935 3201 3362 3504 3657 3738 3880 3993 4099 4212 4303 4398 4475 4541 4584 4639 4668 4672 AEO 1995 2953 3157 3281 3489 3610 3741 3818 3920 4000 4103 4208 4303 4362 4420 4442 4460 4460 AEO 1996 3011 3106 3219 3398 3519 3679 3807 3891 3979 4070 4165 4212 4260 4289 4303 4322 4325 AEO 1997 3099 3245 3497 3665 3825 3975 4084 4190 4285 4380 4464 4552 4617 4654 4709 4760 AEO 1998 3303 3391 3654 3713 3876 4053 4137 4298 4415 4556 4639 4750 4910 4992 5087 AEO 1999 3380 3442 3888 4022 4153 4238 4336 4441 4545 4652 4780 4888 4999 5073 AEO 2000 3599 3847 4036 4187 4320 4465 4579 4690 4780 4882 4968 5055 5113

37

Table 7b. Natural Gas Wellhead Prices, Projected vs. Actual  

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

b. Natural Gas Wellhead Prices, Projected vs. Actual" b. Natural Gas Wellhead Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per thousand cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.983258692,2.124739238,2.26534793,2.409252566,2.585728477,2.727400662,2.854942053,2.980927152,3.13861755,3.345819536,3.591100993,3.849544702,4.184279801,4.510016556,4.915074503,5.29147351,5.56022351,5.960471854 "AEO 1995",,1.891706924,1.998384058,1.952818035,2.064227053,2.152302174,2.400016103,2.569033816,2.897681159,3.160088567,3.556344605,3.869033816,4.267391304,4.561932367,4.848599034,5.157246377,5.413405797,5.660917874 "AEO 1996",,,1.630674532,1.740334763,1.862956911,1.9915856,2.10351261,2.194934146,2.287655669,2.378991658,2.476043002,2.589847464,2.717610782,2.836870306,2.967124845,3.117719429,3.294003735,3.485657428,3.728419409

38

Manhattan Project: Maps  

Office of Scientific and Technical Information (OSTI)

MAPS MAPS Resources Scroll down to view thumbnails of each map. Leslie Groves looks at a map of Japan. Manhattan Project: General Manhattan Project Facilities Places map "Signature Facilities of the MED" map Hanford Hanford map Hanford (black and white) map Hanford Site Diagram Hanford Site Location Map Hanford: Native Peoples map Hanford: Town map Los Alamos Map of Los Alamos, New Mexico Los Alamos: "Tech Area" map Oak Ridge Map of Clinton Engineer Works, Oak Ridge Clinton Engineer Works, Oak Ridge (black and white) map Oak Ridge: Projected Site for Atomic Production Plants, 1942, map Other Flight paths for Hiroshima and Nagasaki missions map Map of the Trinity Test Site Post-War U.S. Nuclear Tests map Manhattan Project Facilities Manhattan Project Facilities

39

Experimental evaluation of actual delivered dose using mega-voltage cone-beam CT and direct point dose measurement  

SciTech Connect (OSTI)

Radiation therapy in patients is planned by using computed tomography (CT) images acquired before start of the treatment course. Here, tumor shrinkage or weight loss or both, which are common during the treatment course for patients with head-and-neck (H and N) cancer, causes unexpected differences from the plan, as well as dose uncertainty with the daily positional error of patients. For accurate clinical evaluation, it is essential to identify these anatomical changes and daily positional errors, as well as consequent dosimetric changes. To evaluate the actual delivered dose, the authors proposed direct dose measurement and dose calculation with mega-voltage cone-beam CT (MVCBCT). The purpose of the present study was to experimentally evaluate dose calculation by MVCBCT. Furthermore, actual delivered dose was evaluated directly with accurate phantom setup. Because MVCBCT has CT-number variation, even when the analyzed object has a uniform density, a specific and simple CT-number correction method was developed and applied for the H and N site of a RANDO phantom. Dose distributions were calculated with the corrected MVCBCT images of a cylindrical polymethyl methacrylate phantom. Treatment processes from planning to beam delivery were performed for the H and N site of the RANDO phantom. The image-guided radiation therapy procedure was utilized for the phantom setup to improve measurement reliability. The calculated dose in the RANDO phantom was compared to the measured dose obtained by metal-oxide-semiconductor field-effect transistor detectors. In the polymethyl methacrylate phantom, the calculated and measured doses agreed within about +3%. In the RANDO phantom, the dose difference was less than +5%. The calculated dose based on simulation-CT agreed with the measured dose within±3%, even in the region with a high dose gradient. The actual delivered dose was successfully determined by dose calculation with MVCBCT, and the point dose measurement with the image-guided radiation therapy procedure.

Matsubara, Kana, E-mail: matsubara-kana@hs.tmu.ac.jp [Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-ku Tokyo (Japan); Kohno, Ryosuke [National Cancer Center Hospital East, Chiba (Japan); National Cancer Center Research Institute, Chiba (Japan); Nishioka, Shie; Shibuya, Toshiyuki; Ariji, Takaki; Akimoto, Tetsuo [National Cancer Center Hospital East, Chiba (Japan); Saitoh, Hidetoshi [Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-ku Tokyo (Japan)

2013-07-01T23:59:59.000Z

40

Site Map | DOEpatents  

Office of Scientific and Technical Information (OSTI)

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Note: This page contains sample records for the topic "maps calculated actual" from the National Library of EnergyBeta (NLEBeta).
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41

MA 16020 -- CALCULATOR POLICY  

E-Print Network [OSTI]

MA 16020 -- CALCULATOR POLICY. A ONE-LINE scientific calculator is REQUIRED. No other calculator is allowed. RECOMMENDED: TI-30Xa calculator

OwenDavis

2014-08-20T23:59:59.000Z

42

Table 10. Natural Gas Net Imports, Projected vs. Actual  

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

Natural Gas Net Imports, Projected vs. Actual" Natural Gas Net Imports, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",2.02,2.4,2.66,2.74,2.81,2.85,2.89,2.93,2.95,2.97,3,3.16,3.31,3.5,3.57,3.63,3.74,3.85 "AEO 1995",,2.46,2.54,2.8,2.87,2.87,2.89,2.9,2.9,2.92,2.95,2.97,3,3.03,3.19,3.35,3.51,3.6 "AEO 1996",,,2.56,2.75,2.85,2.88,2.93,2.98,3.02,3.06,3.07,3.09,3.12,3.17,3.23,3.29,3.37,3.46,3.56 "AEO 1997",,,,2.82,2.96,3.16,3.43,3.46,3.5,3.53,3.58,3.64,3.69,3.74,3.78,3.83,3.87,3.92,3.97 "AEO 1998",,,,,2.95,3.19,3.531808376,3.842532873,3.869043112,3.894513845,3.935930967,3.976293564,4.021911621,4.062207222,4.107616425,4.164502144,4.221304417,4.277039051,4.339964867

43

Table 12. Total Coal Consumption, Projected vs. Actual Projected  

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

Total Coal Consumption, Projected vs. Actual Total Coal Consumption, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 920 928 933 938 943 948 953 958 962 967 978 990 987 992 1006 1035 1061 1079 AEO 1995 935 940 941 947 948 951 954 958 963 971 984 992 996 1002 1013 1025 1039 AEO 1996 937 942 954 962 983 990 1004 1017 1027 1033 1046 1067 1070 1071 1074 1082 1087 AEO 1997 948 970 987 1003 1017 1020 1025 1034 1041 1054 1075 1086 1092 1092 1099 1104 AEO 1998 1009 1051 1044 1058 1087 1084 1090 1097 1112 1130 1142 1148 1160 1162 1180 AEO 1999 1040 1075 1092 1109 1113 1118 1120 1120 1133 1139 1150 1155 1156 1173 AEO 2000 1053 1086 1103 1124 1142 1164 1175 1184 1189 1194 1199 1195 1200 AEO 2001 1078 1112 1135 1153 1165 1183 1191 1220 1228 1228 1235 1240

44

Table 22. Total Carbon Dioxide Emissions, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Total Carbon Dioxide Emissions, Projected vs. Actual Total Carbon Dioxide Emissions, Projected vs. Actual (million metric tons) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 AEO 1983 AEO 1984 AEO 1985 AEO 1986 AEO 1987 AEO 1989* AEO 1990 AEO 1991 AEO 1992 AEO 1993 5009 5053 5130 5207 5269 5335 5401 5449 5504 5562 5621 5672 5724 5771 5819 5867 5918 5969 AEO 1994 5060 5130 5185 5240 5287 5335 5379 5438 5482 5529 5599 5658 5694 5738 5797 5874 5925 AEO 1995 5137 5174 5188 5262 5309 5361 5394 5441.3 5489.0 5551.3 5621.0 5679.7 5727.3 5775.0 5841.0 5888.7 AEO 1996 5182 5224 5295 5355 5417 5464 5525 5589 5660 5735 5812 5879 5925 5981 6030 AEO 1997 5295 5381 5491 5586 5658 5715 5781 5863 5934 6009 6106 6184 6236 6268 AEO 1998 5474 5621 5711 5784 5893 5957 6026 6098 6192 6292 6379 6465 6542 AEO 1999 5522 5689 5810 5913 5976 6036 6084 6152 6244 6325 6418 6493 AEO 2000

45

Table 16. Total Electricity Sales, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Electricity Sales, Projected vs. Actual Electricity Sales, Projected vs. Actual (billion kilowatt-hours) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 2364 2454 2534 2626 2708 2811 AEO 1983 2318 2395 2476 2565 2650 2739 3153 AEO 1984 2321 2376 2461 2551 2637 2738 3182 AEO 1985 2317 2360 2427 2491 2570 2651 2730 2808 2879 2949 3026 AEO 1986 2363 2416 2479 2533 2608 2706 2798 2883 2966 3048 3116 3185 3255 3324 3397 AEO 1987 2460 2494 2555 2622 2683 2748 2823 2902 2977 3363 AEO 1989* 2556 2619 2689 2760 2835 2917 2994 3072 3156 3236 3313 3394 3473 AEO 1990 2612 2689 3083 3488.0 3870.0 AEO 1991 2700 2762 2806 2855 2904 2959 3022 3088 3151 3214 3282 3355 3427 3496 3563 3632 3704 3776 3846 3916 AEO 1992 2746 2845 2858 2913 2975 3030 3087 3146 3209 3276 3345 3415 3483 3552 3625 3699 3774 3847 3921 AEO 1993 2803 2840 2893 2946 2998 3052 3104 3157 3214 3271 3327

46

Table 5. Domestic Crude Oil Production, Projected vs. Actual  

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

Domestic Crude Oil Production, Projected vs. Actual" Domestic Crude Oil Production, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",2507.55,2372.5,2255.7,2160.8,2087.8,2022.1,1952.75,1890.7,1850.55,1825,1799.45,1781.2,1766.6,1759.3,1777.55,1788.5,1806.75,1861.5 "AEO 1995",,2401.7,2306.8,2204.6,2095.1,2036.7,1967.35,1952.75,1923.55,1916.25,1905.3,1894.35,1883.4,1887.05,1887.05,1919.9,1945.45,1967.35 "AEO 1996",,,2387.1,2310.45,2248.4,2171.75,2113.35,2062.25,2011.15,1978.3,1952.75,1938.15,1916.25,1919.9,1927.2,1949.1,1971,1985.6,2000.2 "AEO 1997",,,,2361.55,2306.8,2244.75,2197.3,2142.55,2091.45,2054.95,2033.05,2014.8,2003.85,1996.55,1989.25,1981.95,1974.65,1967.35,1949.1

47

Table 16. Total Energy Consumption, Projected vs. Actual  

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

Total Energy Consumption, Projected vs. Actual" Total Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",88.02,89.53,90.72,91.73,92.71,93.61,94.56,95.73,96.69,97.69,98.89,100,100.79,101.7,102.7,103.6,104.3,105.23 "AEO 1995",,89.21,89.98,90.57,91.91,92.98,93.84,94.61,95.3,96.19,97.18,98.38,99.37,100.3,101.2,102.1,102.9,103.88 "AEO 1996",,,90.6,91.26,92.54,93.46,94.27,95.07,95.94,96.92,97.98,99.2,100.38,101.4,102.1,103.1,103.8,104.69,105.5 "AEO 1997",,,,92.64,93.58,95.13,96.59,97.85,98.79,99.9,101.2,102.4,103.4,104.7,105.8,106.6,107.2,107.9,108.6 "AEO 1998",,,,,94.68,96.71,98.61027527,99.81855774,101.254303,102.3907928,103.3935776,104.453476,105.8160553,107.2683716,108.5873566,109.8798981,111.0723877,112.166893,113.0926208

48

Table 7a. Natural Gas Wellhead Prices, Projected vs. Actual  

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

a. Natural Gas Wellhead Prices, Projected vs. Actual" a. Natural Gas Wellhead Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per thousand cubic feet in ""dollar year"" specific to each AEO)" ,"AEO Dollar Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1992,1.9399,2.029,2.1099,2.1899,2.29,2.35,2.39,2.42,2.47,2.55,2.65,2.75,2.89,3.01,3.17,3.3,3.35,3.47 "AEO 1995",1993,,1.85,1.899,1.81,1.87,1.8999,2.06,2.14,2.34,2.47,2.69,2.83,3.02,3.12,3.21,3.3,3.35,3.39 "AEO 1996",1994,,,1.597672343,1.665446997,1.74129355,1.815978527,1.866241336,1.892736554,1.913619637,1.928664207,1.943216205,1.964540124,1.988652706,2.003382921,2.024799585,2.056392431,2.099974155,2.14731431,2.218094587

49

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 AEO 1996 1994 7.09 6.99 6.94 6.93 6.96 6.96 6.96 6.97 6.98 6.97 6.98 6.95 6.95 6.94 6.96 6.95 6.91 AEO 1997 1995 6.94 6.89 6.90 6.91 6.86 6.84 6.78 6.73 6.66 6.60 6.58 6.54 6.49 6.48 6.45 6.36

50

Table 4. Total Petroleum Consumption, Projected vs. Actual  

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

Total Petroleum Consumption, Projected vs. Actual" Total Petroleum Consumption, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",6449.55,6566.35,6643,6723.3,6810.9,6880.25,6956.9,7059.1,7124.8,7205.1,7296.35,7376.65,7446,7522.65,7595.65,7665,7712.45,7774.5 "AEO 1995",,6398.45,6544.45,6555.4,6675.85,6745.2,6821.85,6887.55,6964.2,7048.15,7146.7,7245.25,7336.5,7405.85,7471.55,7537.25,7581.05,7621.2 "AEO 1996",,,6489.7,6526.2,6606.5,6708.7,6781.7,6854.7,6942.3,7008,7084.65,7175.9,7259.85,7329.2,7383.95,7449.65,7500.75,7544.55,7581.05 "AEO 1997",,,,6635.7,6694.1,6825.5,6953.25,7073.7,7183.2,7267.15,7369.35,7460.6,7548.2,7643.1,7730.7,7792.75,7832.9,7884,7924.15

51

Table 9. Natural Gas Production, Projected vs. Actual  

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

Natural Gas Production, Projected vs. Actual" Natural Gas Production, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",17.71,17.68,17.84,18.12,18.25,18.43,18.58,18.93,19.28,19.51,19.8,19.92,20.13,20.18,20.38,20.35,20.16,20.19 "AEO 1995",,18.28,17.98,17.92,18.21,18.63,18.92,19.08,19.2,19.36,19.52,19.75,19.94,20.17,20.28,20.6,20.59,20.88 "AEO 1996",,,18.9,19.15,19.52,19.59,19.59,19.65,19.73,19.97,20.36,20.82,21.25,21.37,21.68,22.11,22.47,22.83,23.36 "AEO 1997",,,,19.1,19.7,20.17,20.32,20.54,20.77,21.26,21.9,22.31,22.66,22.93,23.38,23.68,23.99,24.25,24.65 "AEO 1998",,,,,18.85,19.06,20.34936142,20.27427673,20.60257721,20.94442177,21.44076347,21.80969238,22.25416183,22.65365219,23.176651,23.74545097,24.22989273,24.70069313,24.96691322

52

Table 7a. Natural Gas Wellhead Prices, Projected vs. Actual  

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

a. Natural Gas Wellhead Prices, Projected vs. Actual a. Natural Gas Wellhead Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per thousand cubic feet in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.94 2.03 2.11 2.19 2.29 2.35 2.39 2.42 2.47 2.55 2.65 2.75 2.89 3.01 3.17 3.30 3.35 3.47 AEO 1995 1993 1.85 1.90 1.81 1.87 1.90 2.06 2.14 2.34 2.47 2.69 2.83 3.02 3.12 3.21 3.30 3.35 3.39 AEO 1996 1994 1.60 1.67 1.74 1.82 1.87 1.89 1.91 1.93 1.94 1.96 1.99 2.00 2.02 2.06 2.10 2.15 2.22

53

Pose estimation of an uncooperative spacecraft from actual space imagery  

Science Journals Connector (OSTI)

This paper addresses the preliminary design of a spaceborne monocular vision-based navigation system for on-orbit-servicing and formation-flying applications. The aim is to estimate the pose of a passive space resident object using its known three-dimensional model and single low-resolution two-dimensional images collected on-board the active spacecraft. In contrast to previous work, no supportive means are available on the target satellite (e.g., light emitting diodes) and no a-priori knowledge of the relative position and attitude is available (i.e., lost-in-space scenario). Three fundamental mechanisms - perceptual organisation, true perspective projection, and random sample consensus - are exploited to overcome the limitations of monocular passive optical navigation in space. The preliminary design is conducted and validated making use of actual images collected in the frame of the PRISMA mission at about 700 km altitude and 10 m inter-spacecraft separation.

Simone D'Amico; Mathias Benn; John L. Jørgensen

2014-01-01T23:59:59.000Z

54

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps  

E-Print Network [OSTI]

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps You need a new data frame o the properties/look of the extent rectangle Tips Index Map o Should be a simplified version of the map o Should cover at least 5X the area of the main map o Should have its own scale/coordinates/title o Main coverage

Brownstone, Rob

55

Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual  

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

Total Delivered Commercial Energy Consumption, Projected vs. Actual Total Delivered Commercial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 7.6 AEO 1995 6.9 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0 8.0 8.1 AEO 1997 7.4 7.4 7.4 7.5 7.5 7.6 7.7 7.7 7.8 7.8 7.9 7.9 8.0 8.1 8.1 8.2 AEO 1998 7.5 7.6 7.7 7.8 7.9 8.0 8.0 8.1 8.2 8.3 8.4 8.4 8.5 8.6 8.7 AEO 1999 7.4 7.8 7.9 8.0 8.1 8.2 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9 AEO 2000 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.5 8.5 8.7 8.7 8.8 AEO 2001 7.8 8.1 8.3 8.6 8.7 8.9 9.0 9.2 9.3 9.5 9.6 9.7 AEO 2002 8.2 8.4 8.7 8.9 9.0 9.2 9.4 9.6 9.7 9.9 10.1

56

Table 21. Total Transportation Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Transportation Energy Consumption, Projected vs. Actual Transportation Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 18.6 18.2 17.7 17.3 17.0 16.9 AEO 1983 19.8 20.1 20.4 20.4 20.5 20.5 20.7 AEO 1984 19.2 19.0 19.0 19.0 19.1 19.2 20.1 AEO 1985 20.0 19.8 20.0 20.0 20.0 20.1 20.3 AEO 1986 20.5 20.8 20.8 20.6 20.7 20.3 21.0 AEO 1987 21.3 21.5 21.6 21.7 21.8 22.0 22.0 22.0 21.9 22.3 AEO 1989* 21.8 22.2 22.4 22.4 22.5 22.5 22.5 22.5 22.6 22.7 22.8 23.0 23.2 AEO 1990 22.0 22.4 23.2 24.3 25.5 AEO 1991 22.1 21.6 21.9 22.1 22.3 22.5 22.8 23.1 23.4 23.8 24.1 24.5 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 AEO 1992 21.7 22.0 22.5 22.9 23.2 23.4 23.6 23.9 24.1 24.4 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 27.1 AEO 1993 22.5 22.8 23.4 23.9 24.3 24.7 25.1 25.4 25.7 26.1 26.5 26.8 27.2 27.6 27.9 28.1 28.4 28.7 AEO 1994 23.6

57

Table 10. Natural Gas Production, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Production, Projected vs. Actual Production, Projected vs. Actual (trillion cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 14.74 14.26 14.33 14.89 15.39 15.88 AEO 1983 16.48 16.27 16.20 16.31 16.27 16.29 14.89 AEO 1984 17.48 17.10 17.44 17.58 17.52 17.32 16.39 AEO 1985 16.95 17.08 17.11 17.29 17.40 17.33 17.32 17.27 17.05 16.80 16.50 AEO 1986 16.30 16.27 17.15 16.68 16.90 16.97 16.87 16.93 16.86 16.62 16.40 16.33 16.57 16.23 16.12 AEO 1987 16.21 16.09 16.38 16.32 16.30 16.30 16.44 16.62 16.81 17.39 AEO 1989* 16.71 16.71 16.94 17.01 16.83 17.09 17.35 17.54 17.67 17.98 18.20 18.25 18.49 AEO 1990 16.91 17.25 18.84 20.58 20.24 AEO 1991 17.40 17.48 18.11 18.22 18.15 18.22 18.39 18.82 19.03 19.28 19.62 19.89 20.13 20.07 19.95 19.82 19.64 19.50 19.30 19.08 AEO 1992 17.43 17.69 17.95 18.00 18.29 18.27 18.51 18.75 18.97

58

Table 17. Total Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption, Projected vs. Actual Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 79.1 79.6 79.9 80.8 82.1 83.3 AEO 1983 78.0 79.5 81.0 82.4 83.9 84.6 89.0 AEO 1984 78.5 79.4 81.2 83.1 85.1 86.4 93.0 AEO 1985 77.6 78.5 79.8 81.2 82.7 83.3 84.2 85.0 85.7 86.3 87.2 AEO 1986 77.0 78.8 79.8 80.7 81.5 82.9 83.8 84.6 85.3 86.0 86.6 87.4 88.3 89.4 90.2 AEO 1987 78.9 80.0 82.0 82.8 83.9 85.1 86.2 87.1 87.9 92.5 AEO 1989* 82.2 83.8 84.5 85.4 86.2 87.1 87.8 88.7 89.5 90.4 91.4 92.4 93.5 AEO 1990 84.2 85.4 91.9 97.4 102.8 AEO 1991 84.4 85.0 86.0 87.0 87.9 89.1 90.4 91.8 93.1 94.3 95.6 97.1 98.4 99.4 100.3 101.4 102.5 103.6 104.7 105.8 AEO 1992 84.7 87.0 88.0 89.2 90.5 91.4 92.4 93.4 94.5 95.6 96.9 98.0 99.0 100.0 101.2 102.2 103.2 104.3 105.2 AEO 1993 87.0 88.3 89.8 91.4 92.7 94.0 95.3 96.3 97.5 98.6

59

Table 3. Gross Domestic Product, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Gross Domestic Product, Projected vs. Actual Gross Domestic Product, Projected vs. Actual (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 4.3% 3.8% 3.6% 3.3% 3.2% 3.2% AEO 1983 3.3% 3.3% 3.4% 3.3% 3.2% 3.1% 2.7% AEO 1984 2.7% 2.4% 2.9% 3.1% 3.1% 3.1% 2.7% AEO 1985 2.3% 2.2% 2.7% 2.8% 2.9% 3.0% 3.0% 3.0% 2.9% 2.8% 2.8% AEO 1986 2.6% 2.5% 2.7% 2.5% 2.5% 2.6% 2.6% 2.6% 2.5% 2.5% 2.5% 2.5% 2.5% 2.5% 2.5% AEO 1987 2.7% 2.3% 2.4% 2.5% 2.5% 2.6% 2.6% 2.5% 2.4% 2.3% AEO 1989* 4.0% 3.4% 3.1% 3.0% 2.9% 2.8% 2.7% 2.7% 2.7% 2.6% 2.6% 2.6% 2.6% AEO 1990 2.9% 2.3% 2.5% 2.5% 2.4% AEO 1991 0.8% 1.0% 1.7% 1.8% 1.8% 1.9% 2.0% 2.1% 2.1% 2.1% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% AEO 1992 -0.1% 1.6% 2.0% 2.2% 2.3% 2.2% 2.2% 2.2% 2.2% 2.3% 2.3% 2.3% 2.3% 2.2%

60

Table 20. Total Industrial Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Industrial Energy Consumption, Projected vs. Actual Industrial Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 24.0 24.1 24.4 24.9 25.5 26.1 AEO 1983 23.2 23.6 23.9 24.4 24.9 25.0 25.4 AEO 1984 24.1 24.5 25.4 25.5 27.1 27.4 28.7 AEO 1985 23.2 23.6 23.9 24.4 24.8 24.8 24.4 AEO 1986 22.2 22.8 23.1 23.4 23.4 23.6 22.8 AEO 1987 22.4 22.8 23.7 24.0 24.3 24.6 24.6 24.7 24.9 22.6 AEO 1989* 23.6 24.0 24.1 24.3 24.5 24.3 24.3 24.5 24.6 24.8 24.9 24.4 24.1 AEO 1990 25.0 25.4 27.1 27.3 28.6 AEO 1991 24.6 24.5 24.8 24.8 25.0 25.3 25.7 26.2 26.5 26.1 25.9 26.2 26.4 26.6 26.7 27.0 27.2 27.4 27.7 28.0 AEO 1992 24.6 25.3 25.4 25.6 26.1 26.3 26.5 26.5 26.0 25.6 25.8 26.0 26.1 26.2 26.4 26.7 26.9 27.2 27.3 AEO 1993 25.5 25.9 26.2 26.8 27.1 27.5 27.8 27.4 27.1 27.4 27.6 27.8 28.0 28.2 28.4 28.7 28.9 29.1 AEO 1994 25.4 25.9

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61

Table 8. Natural Gas Wellhead Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Wellhead Prices, Projected vs. Actual Natural Gas Wellhead Prices, Projected vs. Actual (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 9.2 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 7.29 8.09 8.94 9.62 10.27 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 6.37 6.89 7.50 8.15 9.05 AEO 1993 1.85 1.94 2.09 2.30

62

Table 16. Total Energy Consumption, Projected vs. Actual Projected  

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

Total Energy Consumption, Projected vs. Actual Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 88.0 89.5 90.7 91.7 92.7 93.6 94.6 95.7 96.7 97.7 98.9 100.0 100.8 101.7 102.7 103.6 104.3 105.2 AEO 1995 89.2 90.0 90.6 91.9 93.0 93.8 94.6 95.3 96.2 97.2 98.4 99.4 100.3 101.2 102.1 102.9 103.9 AEO 1996 90.6 91.3 92.5 93.5 94.3 95.1 95.9 96.9 98.0 99.2 100.4 101.4 102.1 103.1 103.8 104.7 105.5 AEO 1997 92.6 93.6 95.1 96.6 97.9 98.8 99.9 101.2 102.4 103.4 104.7 105.8 106.6 107.2 107.9 108.6 AEO 1998 94.7 96.7 98.6 99.8 101.3 102.4 103.4 104.5 105.8 107.3 108.6 109.9 111.1 112.2 113.1 AEO 1999 94.6 97.0 99.2 100.9 102.0 102.8 103.6 104.7 106.0 107.2 108.5 109.7 110.8 111.8

63

Table 9. Natural Gas Production, Projected vs. Actual Projected  

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

Natural Gas Production, Projected vs. Actual Natural Gas Production, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 17.71 17.68 17.84 18.12 18.25 18.43 18.58 18.93 19.28 19.51 19.80 19.92 20.13 20.18 20.38 20.35 20.16 20.19 AEO 1995 18.28 17.98 17.92 18.21 18.63 18.92 19.08 19.20 19.36 19.52 19.75 19.94 20.17 20.28 20.60 20.59 20.88 AEO 1996 18.90 19.15 19.52 19.59 19.59 19.65 19.73 19.97 20.36 20.82 21.25 21.37 21.68 22.11 22.47 22.83 23.36 AEO 1997 19.10 19.70 20.17 20.32 20.54 20.77 21.26 21.90 22.31 22.66 22.93 23.38 23.68 23.99 24.25 24.65 AEO 1998 18.85 19.06 20.35 20.27 20.60 20.94 21.44 21.81 22.25 22.65 23.18 23.75 24.23 24.70 24.97 AEO 1999 18.80 19.13 19.28 19.82 20.23 20.77 21.05 21.57 21.98 22.47 22.85 23.26 23.77 24.15

64

Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual  

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

Total Delivered Industrial Energy Consumption, Projected vs. Actual Total Delivered Industrial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 25.4 25.9 26.3 26.7 27.0 27.1 26.8 26.6 26.9 27.2 27.7 28.1 28.3 28.7 29.1 29.4 29.7 30.0 AEO 1995 26.2 26.3 26.5 27.0 27.3 26.9 26.6 26.8 27.1 27.5 27.9 28.2 28.4 28.7 29.0 29.3 29.6 AEO 1996 26.5 26.6 27.3 27.5 26.9 26.5 26.7 26.9 27.2 27.6 27.9 28.2 28.3 28.5 28.7 28.9 29.2 AEO 1997 26.2 26.5 26.9 26.7 26.6 26.8 27.1 27.4 27.8 28.0 28.4 28.7 28.9 29.0 29.2 29.4 AEO 1998 27.2 27.5 27.2 26.9 27.1 27.5 27.7 27.9 28.3 28.7 29.0 29.3 29.7 29.9 30.1 AEO 1999 26.7 26.4 26.4 26.8 27.1 27.3 27.5 27.9 28.3 28.6 28.9 29.2 29.5 29.7 AEO 2000 25.8 25.5 25.7 26.0 26.5 26.9 27.4 27.8 28.1 28.3 28.5 28.8 29.0

65

Table 18. Total Residential Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Residential Energy Consumption, Projected vs. Actual Residential Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 10.1 10.1 10.1 10.1 10.2 10.2 AEO 1983 9.8 9.9 10.0 10.1 10.2 10.1 10.0 AEO 1984 9.9 9.9 10.0 10.2 10.3 10.3 10.5 AEO 1985 9.8 10.0 10.1 10.3 10.6 10.6 10.9 AEO 1986 9.6 9.8 10.0 10.3 10.4 10.8 10.9 AEO 1987 9.9 10.2 10.3 10.3 10.4 10.5 10.5 10.5 10.5 10.6 AEO 1989* 10.3 10.5 10.4 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 AEO 1990 10.4 10.7 10.8 11.0 11.3 AEO 1991 10.2 10.7 10.7 10.8 10.8 10.8 10.9 10.9 10.9 11.0 11.0 11.0 11.1 11.2 11.2 11.3 11.4 11.4 11.5 11.6 AEO 1992 10.6 11.1 11.1 11.1 11.1 11.1 11.2 11.2 11.3 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.8 11.9 12.0 AEO 1993 10.7 10.9 11.0 11.0 11.0 11.1 11.1 11.1 11.1 11.2 11.2 11.2 11.2 11.3 11.3 11.4 11.4 11.5 AEO 1994 10.3 10.4 10.4 10.4

66

Table 6. Domestic Crude Oil Production, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Domestic Crude Oil Production, Projected vs. Actual Domestic Crude Oil Production, Projected vs. Actual (million barrels per day) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 8.79 8.85 8.84 8.80 8.66 8.21 AEO 1983 8.67 8.71 8.66 8.72 8.80 8.63 8.11 AEO 1984 8.86 8.70 8.59 8.45 8.28 8.25 7.19 AEO 1985 8.92 8.96 9.01 8.78 8.38 8.05 7.64 7.27 6.89 6.68 6.53 AEO 1986 8.80 8.63 8.30 7.90 7.43 6.95 6.60 6.36 6.20 5.99 5.80 5.66 5.54 5.45 5.43 AEO 1987 8.31 8.18 8.00 7.63 7.34 7.09 6.86 6.64 6.54 6.03 AEO 1989* 8.18 7.97 7.64 7.25 6.87 6.59 6.37 6.17 6.05 6.00 5.94 5.90 5.89 AEO 1990 7.67 7.37 6.40 5.86 5.35 AEO 1991 7.23 6.98 7.10 7.11 7.01 6.79 6.48 6.22 5.92 5.64 5.36 5.11 4.90 4.73 4.62 4.59 4.58 4.53 4.46 4.42 AEO 1992 7.37 7.17 6.99 6.89 6.68 6.45 6.28 6.16 6.06 5.91 5.79 5.71 5.66 5.64 5.62 5.63 5.62 5.55 5.52 AEO 1993 7.20 6.94 6.79 6.52 6.22 6.00 5.84 5.72

67

Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual  

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

Total Delivered Residential Energy Consumption, Projected vs. Actual Total Delivered Residential Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 10.3 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.5 10.5 10.5 10.5 10.5 10.6 10.6 AEO 1995 11.0 10.8 10.8 10.8 10.8 10.8 10.8 10.7 10.7 10.7 10.7 10.7 10.7 10.7 10.8 10.8 10.9 AEO 1996 10.4 10.7 10.7 10.7 10.8 10.8 10.9 10.9 11.0 11.2 11.2 11.3 11.4 11.5 11.6 11.7 11.8 AEO 1997 11.1 10.9 11.1 11.1 11.2 11.2 11.2 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.9 12.0 AEO 1998 10.7 11.1 11.2 11.4 11.5 11.5 11.6 11.7 11.8 11.9 11.9 12.1 12.1 12.2 12.3 AEO 1999 10.5 11.1 11.3 11.3 11.4 11.5 11.5 11.6 11.6 11.7 11.8 11.9 12.0 12.1 AEO 2000 10.7 10.9 11.0 11.1 11.2 11.3 11.4 11.5 11.6 11.7 11.8 11.9 12.0

68

Table 2. Real Gross Domestic Product, Projected vs. Actual  

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

Real Gross Domestic Product, Projected vs. Actual Real Gross Domestic Product, Projected vs. Actual Projected Real GDP Growth Trend (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 3.1% 3.2% 2.9% 2.8% 2.7% 2.7% 2.6% 2.6% 2.6% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.4% 2.3% 2.3% AEO 1995 3.7% 2.8% 2.5% 2.7% 2.7% 2.6% 2.6% 2.5% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.3% 2.3% 2.2% AEO 1996 2.6% 2.2% 2.5% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.4% 2.4% 2.3% 2.3% 2.2% 2.2% 2.2% 1.6% AEO 1997 2.1% 1.9% 2.0% 2.2% 2.3% 2.3% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.1% 2.1% 1.5% AEO 1998 3.4% 2.9% 2.6% 2.5% 2.4% 2.4% 2.3% 2.3% 2.3% 2.3% 2.3% 2.3% 2.3% 2.2% 1.8% AEO 1999 3.4% 2.5% 2.5% 2.4% 2.4% 2.4% 2.3% 2.4% 2.4% 2.4% 2.4% 2.4% 2.4% 1.8% AEO 2000 3.8% 2.9% 2.7% 2.6% 2.6% 2.6% 2.6% 2.6% 2.5% 2.5%

69

Table 7. Petroleum Net Imports, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Net Imports, Projected vs. Actual Petroleum Net Imports, Projected vs. Actual (million barrels per day) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 7.58 7.45 7.12 6.82 6.66 7.09 AEO 1983 5.15 5.44 5.73 5.79 5.72 5.95 6.96 AEO 1984 4.85 5.11 5.53 5.95 6.31 6.59 8.65 AEO 1985 4.17 4.38 4.73 4.93 5.36 5.72 6.23 6.66 7.14 7.39 7.74 AEO 1986 5.15 5.38 5.46 5.92 6.46 7.09 7.50 7.78 7.96 8.20 8.47 8.74 9.04 9.57 9.76 AEO 1987 5.81 6.04 6.81 7.28 7.82 8.34 8.71 8.94 8.98 10.01 AEO 1989* 6.28 6.84 7.49 7.96 8.53 8.83 9.04 9.28 9.60 9.64 9.75 10.02 10.20 AEO 1990 7.20 7.61 9.13 9.95 11.02 AEO 1991 7.28 7.25 7.34 7.48 7.72 8.10 8.57 9.09 9.61 10.07 10.51 11.00 11.44 11.72 11.86 12.11 12.30 12.49 12.71 12.91 AEO 1992 6.86 7.42 7.88 8.16 8.55 8.80 9.06 9.32 9.50 9.80 10.17 10.35 10.56 10.61 10.85 11.00 11.15 11.29 11.50 AEO 1993 7.25 8.01 8.49 9.06

70

Table 7b. Natural Gas Wellhead Prices, Projected vs. Actual  

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

b. Natural Gas Wellhead Prices, Projected vs. Actual b. Natural Gas Wellhead Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per thousand cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1.98 2.12 2.27 2.41 2.59 2.73 2.85 2.98 3.14 3.35 3.59 3.85 4.18 4.51 4.92 5.29 5.56 5.96 AEO 1995 1.89 2.00 1.95 2.06 2.15 2.40 2.57 2.90 3.16 3.56 3.87 4.27 4.56 4.85 5.16 5.41 5.66 AEO 1996 1.63 1.74 1.86 1.99 2.10 2.19 2.29 2.38 2.48 2.59 2.72 2.84 2.97 3.12 3.29 3.49 3.73 AEO 1997 2.03 1.82 1.90 1.99 2.06 2.13 2.21 2.32 2.43 2.54 2.65 2.77 2.88 3.00 3.11 3.24 AEO 1998 2.30 2.20 2.26 2.31 2.38 2.44 2.52 2.60 2.69 2.79 2.93 3.06 3.20 3.35 3.48 AEO 1999 1.98 2.15 2.20 2.32 2.43 2.53 2.63 2.76 2.90 3.02 3.12 3.23 3.35 3.47

71

Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual  

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

Total Delivered Transportation Energy Consumption, Projected vs. Actual Total Delivered Transportation Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 AEO 1997 24.7 25.3 25.9 26.4 27.0 27.5 28.0 28.5 28.9 29.4 29.8 30.3 30.6 30.9 31.1 31.3 AEO 1998 25.3 25.9 26.7 27.1 27.7 28.3 28.8 29.4 30.0 30.6 31.2 31.7 32.3 32.8 33.1 AEO 1999 25.4 26.0 27.0 27.6 28.2 28.8 29.4 30.0 30.6 31.2 31.7 32.2 32.8 33.1 AEO 2000 26.2 26.8 27.4 28.0 28.5 29.1 29.7 30.3 30.9 31.4 31.9 32.5 32.9

72

Table 22. Energy Intensity, Projected vs. Actual Projected  

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

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual Projected (quadrillion Btu / real GDP in billion 2005 chained dollars) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 11.2 11.1 11.0 10.8 10.7 10.5 10.4 10.3 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 AEO 1995 10.9 10.8 10.6 10.4 10.3 10.1 10.0 9.9 9.8 9.6 9.5 9.4 9.3 9.2 9.1 9.1 9.0 AEO 1996 10.7 10.6 10.4 10.3 10.1 10.0 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1997 10.3 10.3 10.2 10.1 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1998 10.1 10.1 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.5 9.4 9.3 9.2 9.1 9.0 AEO 1999 9.6 9.7 9.7 9.7 9.6 9.4 9.3 9.1 9.0 8.9 8.8 8.7 8.6 8.5 AEO 2000 9.4 9.4 9.3 9.2 9.1 9.0 8.9 8.8 8.7 8.7 8.6 8.5 8.4 AEO 2001 8.7 8.6 8.5 8.4 8.3 8.1 8.0 7.9 7.8 7.6 7.5 7.4

73

Table 15. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Average Electricity Prices, Projected vs. Actual Average Electricity Prices, Projected vs. Actual (nominal cents per kilowatt-hour) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.38 6.96 7.63 8.23 8.83 9.49 AEO 1983 6.85 7.28 7.74 8.22 8.68 9.18 13.12 AEO 1984 6.67 7.05 7.48 7.89 8.25 8.65 11.53 AEO 1985 6.62 6.94 7.32 7.63 7.89 8.15 8.46 8.85 9.20 9.61 10.04 AEO 1986 6.67 6.88 7.05 7.18 7.35 7.52 7.65 7.87 8.31 8.83 9.41 10.01 10.61 11.33 12.02 AEO 1987 6.63 6.65 6.92 7.12 7.38 7.62 7.94 8.36 8.86 11.99 AEO 1989* 6.50 6.75 7.14 7.48 7.82 8.11 8.50 8.91 9.39 9.91 10.49 11.05 11.61 AEO 1990 6.49 6.72 8.40 10.99 14.5 AEO 1991 6.94 7.31 7.59 7.82 8.18 8.38 8.54 8.73 8.99 9.38 9.83 10.29 10.83 11.36 11.94 12.58 13.21 13.88 14.58 15.21 AEO 1992 6.97 7.16 7.32 7.56 7.78 8.04 8.29 8.57 8.93 9.38 9.82 10.26 10.73 11.25 11.83 12.37 12.96 13.58 14.23 AEO 1993

74

Table 11. Natural Gas Net Imports, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Net Imports, Projected vs. Actual Natural Gas Net Imports, Projected vs. Actual (trillion cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 1.19 1.19 1.19 1.19 1.19 1.19 AEO 1983 1.08 1.16 1.23 1.23 1.23 1.23 1.23 AEO 1984 0.99 1.05 1.16 1.27 1.43 1.57 2.11 AEO 1985 0.94 1.00 1.19 1.45 1.58 1.86 1.94 2.06 2.17 2.32 2.44 AEO 1986 0.74 0.88 0.62 1.03 1.05 1.27 1.39 1.47 1.66 1.79 1.96 2.17 2.38 2.42 2.43 AEO 1987 0.84 0.89 1.07 1.16 1.26 1.36 1.46 1.65 1.75 2.50 AEO 1989* 1.15 1.32 1.44 1.52 1.61 1.70 1.79 1.87 1.98 2.06 2.15 2.23 2.31 AEO 1990 1.26 1.43 2.07 2.68 2.95 AEO 1991 1.36 1.53 1.70 1.82 2.11 2.30 2.33 2.36 2.42 2.49 2.56 2.70 2.75 2.83 2.90 2.95 3.02 3.09 3.17 3.19 AEO 1992 1.48 1.62 1.88 2.08 2.25 2.41 2.56 2.68 2.70 2.72 2.76 2.84 2.92 3.05 3.10 3.20 3.25 3.30 3.30 AEO 1993 1.79 2.08 2.35 2.49 2.61 2.74 2.89 2.95 3.00 3.05 3.10

75

Table 8. Total Natural Gas Consumption, Projected vs. Actual  

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

Total Natural Gas Consumption, Projected vs. Actual Total Natural Gas Consumption, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 19.87 20.21 20.64 20.99 21.20 21.42 21.60 21.99 22.37 22.63 22.95 23.22 23.58 23.82 24.09 24.13 24.02 24.14 AEO 1995 20.82 20.66 20.85 21.21 21.65 21.95 22.12 22.25 22.43 22.62 22.87 23.08 23.36 23.61 24.08 24.23 24.59 AEO 1996 21.32 21.64 22.11 22.21 22.26 22.34 22.46 22.74 23.14 23.63 24.08 24.25 24.63 25.11 25.56 26.00 26.63 AEO 1997 22.15 22.75 23.24 23.64 23.86 24.13 24.65 25.34 25.82 26.22 26.52 27.00 27.35 27.70 28.01 28.47 AEO 1998 21.84 23.03 23.84 24.08 24.44 24.81 25.33 25.72 26.22 26.65 27.22 27.84 28.35 28.84 29.17 AEO 1999 21.35 22.36 22.54 23.18 23.65 24.17 24.57 25.19 25.77 26.41 26.92 27.42 28.02 28.50

76

Evidential cognitive maps  

Science Journals Connector (OSTI)

In order to handle uncertain information, this paper proposes evidential cognitive maps (ECMs), similar to the fuzzy cognitive maps (FCMs). ECMs are uncertain-graph structures for representing causal reasoning through the combination of cognitive maps ... Keywords: Data fusion, Decision making, Evidence theory, Evidential cognitive maps, Fuzzy cognitive maps

Bingyi Kang; Yong Deng; Rehan Sadiq; Sankaran Mahadevan

2012-11-01T23:59:59.000Z

77

E-Print Network 3.0 - actual results satellitenexperiment Sample...  

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

The actual case here corresponds to the minor windows (U0.5) case in Table 6. Table A1: Load and energy... .96) 6343.77 (3316.14) 933.65 (901.44) Major windows (Actual) Diff. - -...

78

Maps and Plans  

E-Print Network [OSTI]

shrouded door to box seats. Rose / Maps and Plans Re-Placing Places 20.1 Rose / Maps and Plans Re-Placing PlacesMaps and Plans Thomas Rose Architectural plans create the

Rose, Thomas

2008-01-01T23:59:59.000Z

79

Holomorphic segre preserving maps  

E-Print Network [OSTI]

for holomorphic Segre maps. Math. Ann. 337, 457-478, (2007).There are no holomorphic maps satisfying criteria (1.37). (j ? C\\{0}, the family of maps given by H = c 1 z 1 , . . . ,

Angle, Robert Blair

2008-01-01T23:59:59.000Z

80

Table 19. Total Commercial Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Commercial Energy Consumption, Projected vs. Actual Commercial Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.6 6.7 6.8 6.8 6.8 6.9 AEO 1983 6.4 6.6 6.8 6.9 7.0 7.1 7.2 AEO 1984 6.2 6.4 6.5 6.7 6.8 6.9 7.3 AEO 1985 5.9 6.1 6.2 6.3 6.4 6.5 6.7 AEO 1986 6.2 6.3 6.4 6.4 6.5 7.1 7.4 AEO 1987 6.1 6.1 6.3 6.4 6.6 6.7 6.8 6.9 6.9 7.3 AEO 1989* 6.6 6.7 6.9 7.0 7.0 7.1 7.2 7.3 7.3 7.4 7.5 7.6 7.7 AEO 1990 6.6 6.8 7.1 7.4 7.8 AEO 1991 6.7 6.9 7.0 7.1 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.6 8.7 AEO 1992 6.8 7.1 7.2 7.3 7.3 7.4 7.5 7.6 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.5 8.6 8.7 AEO 1993 7.2 7.3 7.4 7.4 7.5 7.6 7.7 7.7 7.8 7.9 7.9 8.0 8.0 8.1 8.1 8.1 8.2 8.2 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 AEO 1995 6.94 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0

Note: This page contains sample records for the topic "maps calculated actual" 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

Site Map | ScienceCinema  

Office of Scientific and Technical Information (OSTI)

Site Map Site Map Home Audio Search Fielded Search About Help Site Map Contact Us Website PoliciesImportant Links...

82

How Do Calculators Calculate? Helmut Knaust  

E-Print Network [OSTI]

not convert numbers to base 2. They use a binary-coded decimal (BCD) system instead. Calculators can only

Knaust, Helmut

83

Historical Network Maps  

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

Publications and Presentations Galleries ESnet Awards and Honors ESnet Live Blog Home Engineering Services The Network Network Maps Historical Network Maps Engineering...

84

“Deep Maps”: A Brief for Digital Palimpsest Mapping Projects (DPMPs, or “Deep Maps”)  

E-Print Network [OSTI]

DEEP  MAPS”:  A  Brief  for   Digital  Palimpsest  DPMPs,  or  “Deep  Maps”)   SHELLEY  FISHER  FISHKIN  paintings,   drawings,   maps,   photos,   books,  

Fishkin, Shelley Fisher

2011-01-01T23:59:59.000Z

85

Allinea MAP at NERSC  

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

MAP MAP MAP MAP from Allinea Software is a parallel profiler with a simple graphical user interface. It is installed on Hopper, Edison and Carver. Note that the performance of the X Windows-based MAP Graphical User Interface can be greatly improved if used in conjunction with the free NX software. Introduction Allinea MAP is a parallel profiler with simple Graphical User Interface. MAP can be run with up to 512 processors, to profile serial, OpenMP and MPI codes. The Allinea MAP web page and 'Allinea DDT and MAP User Guide' (available as $ALLINEA_TOOLS_DOCDIR/userguide.pdf after loading an allineatools module) are good resources for learning more about some of the advanced MAP features. Loading the Allinea Tools Module To use MAP, first load the 'allineatools' module to set the correct

86

Actual Versus Estimated Utility Factor of a Large Set of Privately Owned Chevrolet Volts  

SciTech Connect (OSTI)

In order to determine the overall fuel economy of a plug-in hybrid electric vehicle (PHEV), the amount of operation in charge depleting (CD) versus charge sustaining modes must be determined. Mode of operation is predominantly dependent on customer usage of the vehicle and is therefore highly variable. The utility factor (UF) concept was developed to quantify the distance a group of vehicles has traveled or may travel in CD mode. SAE J2841 presents a UF calculation method based on data collected from travel surveys of conventional vehicles. UF estimates have been used in a variety of areas, including the calculation of window sticker fuel economy, policy decisions, and vehicle design determination. The EV Project, a plug-in electric vehicle charging infrastructure demonstration being conducted across the United States, provides the opportunity to determine the real-world UF of a large group of privately owned Chevrolet Volt extended range electric vehicles. Using data collected from Volts enrolled in The EV Project, this paper compares the real-world UF of two groups of Chevrolet Volts to estimated UF's based on J2841. The actual observed fleet utility factors (FUF) for the MY2011/2012 and MY2013 Volt groups studied were observed to be 72% and 74%, respectively. Using the EPA CD ranges, the method prescribed by J2841 estimates a FUF of 65% and 68% for the MY2011/2012 and MY2013 Volt groups, respectively. Volt drivers achieved higher percentages of distance traveled in EV mode for two reasons. First, they had fewer long-distance travel days than drivers in the national travel survey referenced by J2841. Second, they charged more frequently than the J2841 assumption of once per day - drivers of Volts in this study averaged over 1.4 charging events per day. Although actual CD range varied widely as driving conditions varied, the average CD ranges for the two Volt groups studied matched the EPA CD range estimates, so CD range variation did not affect FUF results.

John Smart; Thomas Bradley; Stephen Schey

2014-04-01T23:59:59.000Z

87

Emergency Exit Maps | Stanford Synchrotron Radiation Lightsource  

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

Emergency Exit Maps SSRL Exit Maps Exit map 219 exit map trailer 274 exit map 450 trailers exit map trailer 271 exit map trailer 270 exit map trailer 294 exit maps 118 & 117 exit...

88

Career Map: Instrumentation Coordinator  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Instrumentation Coordinator positions.

89

Career Map: Engineering Manager  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Engineering Manager positions.

90

Career Map: Environmental Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Environmental Scientist positions.

91

Career Map: Construction Worker  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Construction Worker positions.

92

Career Map: Industrial Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Industrial Engineer positions.

93

Career Map: Mechanical Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Mechanical Engineer positions.

94

Career Map: Aerospace Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Aerospace Engineer positions.

95

Career Map: Resource Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Resource Scientist positions.

96

Career Map: Electrical Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Electrical Engineer positions.

97

Career Map: Research Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Research Scientist positions.

98

Career Map: Transportation Worker  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Transportation Worker positions.

99

Career Map: Meteorological Technician  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Meteorological Technician positions.

100

Using Process Mining to Generate Accurate and Interactive Business Process Maps  

E-Print Network [OSTI]

Aalst Eindhoven University of Technology P.O. Box 513, NL-5600 MB, Eindhoven, The Netherlands. w these maps and the actual behavior recorded in event logs. This will allow for high-quality process models, and be able to view maps that can be customized in various ways (zoom-in/zoom- out, show fuel stations, speed

van der Aalst, Wil

Note: This page contains sample records for the topic "maps calculated actual" 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

Differential maps, difference maps, interpolated maps, and long term prediction  

SciTech Connect (OSTI)

Mapping techniques may be thought to be attractive for the long term prediction of motion in accelerators, especially because a simple map can approximately represent an arbitrarily complicated lattice. The intention of this paper is to develop prejudices as to the validity of such methods by applying them to a simple, exactly solveable, example. It is shown that a numerical interpolation map, such as can be generated in the accelerator tracking program TEAPOT, predicts the evolution more accurately than an analytically derived differential map of the same order. Even so, in the presence of appreciable'' nonlinearity, it is shown to be impractical to achieve accurate'' prediction beyond some hundreds of cycles of oscillation. This suggests that the value of nonlinear maps is restricted to the parameterization of only the leading'' deviation from linearity. 41 refs., 6 figs.

Talman, R.

1988-06-01T23:59:59.000Z

102

Original Impact Calculations  

Broader source: Energy.gov [DOE]

Original Impact Calculations, from the Tool Kit Framework: Small Town University Energy Program (STEP).

103

E-Print Network 3.0 - actuales relacionadas con Sample Search...  

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

for: actuales relacionadas con Page: << < 1 2 3 4 5 > >> 1 Departamento de Fsica (EPS) Universidad Carlos III de Madrid Summary: fsica relacionada con la implosin de los...

104

E-Print Network 3.0 - actuales clasificaciones del Sample Search...  

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

Collection: Mathematics 30 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

105

E-Print Network 3.0 - actuales del sector Sample Search Results  

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

Collection: Engineering 60 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

106

Thematic Maps 9 Thematic Maps: Visualizing  

E-Print Network [OSTI]

Thematic Maps 9 Thematic Maps: Visualizing Spatial Variability and Shared Benefits SSSSSpatial Agreements Figure 5. GIS and visualization: from bottom to top -- topography, social water stress index and Mexico..... By superimposing several different data sets within a Geographic Information System (GIS

Wolf, Aaron

107

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping...  

Open Energy Info (EERE)

Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Abstract Research into the practicality of digital mapping by Placer Dome Exploration...

108

R-value Calculator  

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

Advanced Wall Systems Advanced Wall Systems ORNL Home ASTM Testing BEP Home Related Sites Work With Us Advanced Wall Systems Home Interactive Calculators New Whole Wall R-value Calculators As A Part Of The ORNL Material Database For Whole Building Energy Simulations These calculators are replacing the old Whole Wall Thermal Performance calculator. These new versions of the calculator contain many new features and are part of the newly developed Interactive Envelope Materials Database for Whole-Building Energy Simulation Programs. The simple version of the Whole Wall R-value calculator is now available for use. This calculator is similar to the previous Whole Wall Thermal Performance calculator and does not require any downloads from the user. However, it was updated to allow calculations for fourteen wall details

109

COBE Sky Map  

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

COBE sky map COBE sky map This map of the ancient sky shows the minute variations in the microwave background discovered by the team led by Lawrence Berkeley Laboratory astrophysicist George Smoot. As seen in the map, vast regions of space have minute variations in temperature. Over billions of years, gravity magnified these small differences into the clusters of galaxies we observe today. Displayed horizontally across the middle of the map is the Milky Way galaxy. The image, a 360-degree map of the whole sky, shows the relic radiation from the Big Bang. The map was derived from one year of data taken by the Differential Microwave Radiometers onboard NASA's Cosmic Background Explorer satellite. Using Galactic coordinates, the map shows the plane of the Milky Way galaxy horizontally and the center of our galaxy at its

110

Memory-mapped transactions  

E-Print Network [OSTI]

Memory-mapped transactions combine the advantages of both memory mapping and transactions to provide a programming interface for concurrently accessing data on disk without explicit I/O or locking operations. This interface ...

Sukha, Jim

2005-01-01T23:59:59.000Z

111

Integrable quantum mappings  

Science Journals Connector (OSTI)

A quantum R-matrix structure is presented for a family of exactly integrable multidimensional rational mappings related to lattice versions of the Korteweg–de Vries equation. It is shown that these mappings possess a commuting family of invariants.

F. W. Nijhoff; H. W. Capel; V. G. Papageorgiou

1992-08-15T23:59:59.000Z

112

Solar Glare and Flux Mapping  

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

SGFMT Home SGFMT Home Register Glare Analysis Solar Glare Hazard Analysis SGHAT 1.0 (old) Empirical Glare Analysis Analytical Glare Analysis PHLUX Mapping Reflectivity Calculator References Contact Us Solar Glare and Flux Mapping Tools Measurement of reflected solar irradiance is receiving significant attention by industry, military, and government agencies to assess potential impacts of glint and glare from growing numbers of solar power installations around the world. In addition, characterization of the incident solar flux distribution on central receivers for concentrating solar power applications is important to monitor and maintain system performance. This website contains tools to evaluate solar glare and receiver irradiance. Register to access the tools Solar Glare Hazard Analysis Tool

113

WIPP Projects Interative Map  

Broader source: Energy.gov [DOE]

View WIPP Projects in a larger map. To report corrections, please email WeatherizationInnovation@ee.doe.gov.

114

National Hydropower Map  

Broader source: Energy.gov [DOE]

High-resolution map produced by Oak Ridge National Laboratory showing hydropower resources throughout the United States.

115

SERC Grants Interactive Map  

Broader source: Energy.gov [DOE]

View SERC Grants in a larger map. To report corrections, please email SustainableEnergyWAP@ee.doe.gov.

116

MAPS MANUAL 2010 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2010 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

117

MAPS MANUAL 2014 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2014 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

118

MAPS MANUAL 2008 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2008 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Jim Saracco

DeSante, David F.

119

MAPS MANUAL 2013 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2013 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

120

MAPS MANUAL 2011 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2011 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

Note: This page contains sample records for the topic "maps calculated actual" 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

MAPS MANUAL 2012 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2012 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

122

Using Graphical Representations to Support the Calculation of Infusion Parameters  

E-Print Network [OSTI]

Using Graphical Representations to Support the Calculation of Infusion Parameters Sandy J. J. Gould in which participants were asked to solve a num- ber of infusion parameter problems that were represented representations transfer to actual workplace settings. Keywords: Graphical reasoning, infusion pumps, re

Subramanian, Sriram

123

Real-Time Traffic Maps  

E-Print Network [OSTI]

d. (2007). Barcelona Traffic Map. Barcelona. 2007. Berendt,Spatial Thinking with Geographic Maps: An Empirical Study.Data on Choropleth Maps in Series." Annals of the

Goldsberry, Kirk Patrick

2007-01-01T23:59:59.000Z

124

Site Map - EERE Commercialization Office  

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

Site Map Site Map Printable Version Share this resource Quick Links Energy Innovation Portal Site Map Commercialization Home Page About Success Stories Legacy Initiatives Small...

125

Site Map | DOE Data Explorer  

Office of Scientific and Technical Information (OSTI)

Site Map Site Map Home Basic Search Advanced Search DDE FAQ About DDE Site Map Data ID Service Contact Us Website PoliciesImportant Links...

126

Maps & Web Mapping: An Introduction to Cartography Edition (2015)  

E-Print Network [OSTI]

Maps & Web Mapping: An Introduction to Cartography 1st Edition (2015) By Keith Clarke Links Showcase Site http://www.pearsonhighered.com/clarke-1e-info/index.html Catalog Link Maps & Web Mapping

Clarke, Keith

127

Aeromagnetic map | Open Energy Information  

Open Energy Info (EERE)

map Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: Aeromagnetic mapInfo GraphicMapChart Cartographer Zietz and Kirby Published U.S. Geological Survey,...

128

Maps for Lorentz transformations of spin  

E-Print Network [OSTI]

Lorentz transformations of spin density matrices for a particle with positive mass and spin 1/2 are described by maps of the kind used in open quantum dynamics. They show how the Lorentz transformations of the spin depend on the momentum. Since the spin and momentum generally are entangled, the maps generally are not completely positive and act in limited domains. States with two momentum values are considered, so the maps are for the spin qubit entangled with the qubit made from the two momentum values, and results from the open quantum dynamics of two coupled qubits can be applied. Inverse maps are used to show that every Lorentz transformation completely removes the spin polarization, and so completely removes the information, from a number of spin density matrices. The size of the spin polarization that is removed is calculated for particular cases.

Thomas F. Jordan; Anil Shaji; E. C. G. Sudarshan

2005-11-08T23:59:59.000Z

129

Maps of Selected State Subdivisions  

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

Crude Oil, Natural Gas, and Natural Gas Liquids Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves Summary Maps of Selected State Subdivisions Map 1: Alaska Map 2: California Map 3: Louisiana Map 4: New Mexico Map 5: Texas Map 6: Western Planning Area, Gulf of Mexico Map 7: Central Planning Area, Gulf of Mexico Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map 2: California CA 50 - Coastal Region Onshore CA 90 - Los Angeles Basin Onshore CA 10 - San Joaquin Basin Onshore

130

NREL: PVWatts - PVWatts Grid Data Calculator (Version 2)  

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

Grid Data Calculator (Version 2) Grid Data Calculator (Version 2) PVWattsTM Grid Data calculator allows users to select a photovoltaic (PV) system location in the United States from an interactive map. The Grid Data calculator uses hourly typical meteorological year weather data and a PV performance model to estimate annual energy production and cost savings for a crystalline silicon PV system. It allows users to create estimated performance data for any location in the United States or its territories by selecting a site on a 40-km gridded map. The 40-km Grid Data calculator considers data from a climatologically similar typical meteorological year data station and site-specific solar resource and maximum temperature information to provide PV performance estimation. In this version, performance is first calculated for the the nearest TMY2

131

XAFS Study of Phase-Change Recording Material Using Actual Media  

Science Journals Connector (OSTI)

The influence of the interface layer to the local structure for atomic arrangement of a GeBiTe phase-change material was investigated by using XAFS on the actual rewritable HD DVD...

Nakai, Tsukasa; Yoshiki, Masahiko; Satoh, Yasuhiro

132

E-Print Network 3.0 - actual del ultrasonido Sample Search Results  

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

Summary: : evolucin histrica y situacin actual. 8 l) Evaluacin de la capacidad de carga del Parque para los... Proyectos A lo largo del ao 2010 han estado vigentes 85...

133

E-Print Network 3.0 - anciano consideraciones actuales Sample...  

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

mitigacin de los efectos del cambio climtico y con... polticas De proseguir las emisiones de GEI a una tasa igual o superior a la actual, el calentamiento Source: Binette,...

134

E-Print Network 3.0 - actual terrestrial rabies Sample Search...  

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

and Information Sciences 56 innovati nNREL Advances a Unique Crystalline Silicon Solar Cell Summary: actually begins at another of the U.S. Department of Energy (DOE)...

135

E-Print Network 3.0 - actual del huemul Sample Search Results  

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

and Information Sciences 88 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

136

E-Print Network 3.0 - actual del franciscanismo Sample Search...  

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

and Information Sciences 75 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

137

E-Print Network 3.0 - actual del control Sample Search Results  

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

and Information Sciences 30 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

138

E-Print Network 3.0 - actual del tabaquismo Sample Search Results  

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

and Information Sciences 91 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

139

E-Print Network 3.0 - actual del no-acceso Sample Search Results  

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

and Information Sciences 73 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

140

E-Print Network 3.0 - actual del rabdomiosarcoma Sample Search...  

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

and Information Sciences 74 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

Note: This page contains sample records for the topic "maps calculated actual" 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

E-Print Network 3.0 - actual del estreptococo Sample Search Results  

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

and Information Sciences 80 MTODO DE CENSO Y ESTIMA DE POBLACIN DEL PINZN AZUL DE GRAN CANARIA Summary: distribucin actual de la especie en Inagua, Ojeda y Pajonales. El...

142

ARM - Heat Index Calculations  

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

FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Heat Index Calculations Heat Index is an index that combines air temperature and relative...

143

ARM - Wind Chill Calculations  

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

FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Wind Chill Calculations Wind Chill is the apparent temperature felt on the exposed human...

144

Generalized qudit Choi maps  

E-Print Network [OSTI]

Following the linear programming prescription of Ref. \\cite{PRA72}, the $d\\otimes d$ Bell diagonal entanglement witnesses are provided. By using Jamiolkowski isomorphism, it is shown that the corresponding positive maps are the generalized qudit Choi maps. Also by manipulating particular $d\\otimes d$ Bell diagonal separable states and constructing corresponding bound entangled states, it is shown that thus obtained $d\\otimes d$ BDEW's (consequently qudit Choi maps) are non-decomposable in certain range of their parameters.

M. A. Jafarizadeh; M. Rezaeen; S. Ahadpour

2006-07-24T23:59:59.000Z

145

Dot Density Maps Dot density maps, or dot maps, portray the geographic distribution of discrete phenomena  

E-Print Network [OSTI]

Dot Density Maps Dot density maps, or dot maps, portray the geographic distribution of discrete for representing geographic patterns. Dot density maps are particularly useful for understanding global distribution of the mapped phenomenon and comparing relative densities of different regions on the map. Dot

Klippel, Alexander

146

Calculation of source terms for NUREG-1150  

SciTech Connect (OSTI)

The source terms estimated for NUREG-1150 are generally based on the Source Term Code Package (STCP), but the actual source term calculations used in computing risk are performed by much smaller codes which are specific to each plant. This was done because the method of estimating the uncertainty in risk for NUREG-1150 requires hundreds of source term calculations for each accident sequence. This is clearly impossible with a large, detailed code like the STCP. The small plant-specific codes are based on simple algorithms and utilize adjustable parameters. The values of the parameters appearing in these codes are derived from the available STCP results. To determine the uncertainty in the estimation of the source terms, these parameters were varied as specified by an expert review group. This method was used to account for the uncertainties in the STCP results and the uncertainties in phenomena not considered by the STCP.

Breeding, R.J.; Williams, D.C.; Murfin, W.B.; Amos, C.N.; Helton, J.C.

1987-10-01T23:59:59.000Z

147

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

148

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

149

Maps of Svalbard  

Science Journals Connector (OSTI)

... NORGES SVALBARD og Ishavs-undersokelser, now known as Norsk Polarinstitutt, has begun the issue of a detailed map of Svalbard in folded sheets, ...

1948-07-03T23:59:59.000Z

150

Integrated Management Requirements mapping  

SciTech Connect (OSTI)

This document contains five appendices documenting how Sandia implemented the DOE Conduct of Operations (5480.19) and DOE Quality Assurance (5700.6C) orders. It provides a mapping of the Sandia integrated requirements to the specific requirements of each Order and a mapping to Sandia`s approved program for implementing the Conduct of Operations Order.

Holmes, J.T.; Andrews, N.S.

1992-06-01T23:59:59.000Z

151

Integrated Management Requirements mapping  

SciTech Connect (OSTI)

This document contains five appendices documenting how Sandia implemented the DOE Conduct of Operations (5480.19) and DOE Quality Assurance (5700.6C) orders. It provides a mapping of the Sandia integrated requirements to the specific requirements of each Order and a mapping to Sandia's approved program for implementing the Conduct of Operations Order.

Holmes, J.T.; Andrews, N.S.

1992-06-01T23:59:59.000Z

152

Enridged contour maps  

Science Journals Connector (OSTI)

The visualization of scalar functions of two variables is a classic and ubiquitous application. We present a new method to visualize such data. The method is based on a non-linear mapping of the function to a height field, followed by visualization as ... Keywords: contours, flow visualization, height fields, mapping, multivariate visualization

Jarke J. van Wijk; Alexandru Telea

2001-10-01T23:59:59.000Z

153

Maps & Geographic Information  

E-Print Network [OSTI]

Geog 380 Maps & Geographic Information Geog 488/588 GIS 1: Introduction to GIS Geog 475/575 Digital 495/595 Maps, Models & GIS Geog 489/589 Building a GIS Data Base with GPS Geog 492/592 GIS 2: Advanced Compilation & Data Base Design Geog 490/590 GIS Programming Geog 410/510 Applied GIS: 3-D Visualization Geog

154

Introgression & mapping Fiber cell  

E-Print Network [OSTI]

Germplasm Introgression Genomics & mapping Fiber cell initiation Radiation hybrid (RH) mapping and breeding. Research activities commonly include plant breeding, genetics, genomics, cytogenetics, molecular methods. (C, S) · Contribute uniquely to genomics and its relevance to genetic improvement (C,S) · Harness

155

map | OpenEI  

Open Energy Info (EERE)

map map Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for photovoltaic power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GHI map NREL solar SWERA UNEP Data application/pdf icon Download Maps (pdf, 1.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Please cite NREL and UNEP SWERA.

156

maps | OpenEI  

Open Energy Info (EERE)

maps maps Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

157

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps  

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

the MapSearch site. For information on how the 50m maps were developed, access the GIS Data Background page. For information on how some of the other wind maps were...

158

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps  

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

For more PV resource maps, access the MapSearch site. For Geographic Information System (GIS) solar resource data, access the Data Resources page. For interactive maps and tools...

159

Vehicle Cost Calculator  

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

Annual GHG Emissions (lbs of CO2) Vehicle Cost Calculator See Assumptions and Methodology Back Next U.S. Department of Energy Energy Efficiency and Renewable Energy Get Widget Code...

160

Calculating polynomial runtime properties  

Science Journals Connector (OSTI)

Affine size-change analysis has been used for termination analysis of eager functional programming languages. The same style of analysis is also capable of compactly recording and calculating other properties of programs, including their runtime, maximum ...

Hugh Anderson; Siau-Cheng Khoo; Stefan Andrei; Beatrice Luca

2005-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Unit I-2 Linear Maps 1 Linear maps  

E-Print Network [OSTI]

Unit I-2 Linear Maps 1 Unit I-2 Linear maps Unit I-2 Linear Maps 2 Linear map · V & U are vector spaces over the same scalars · a function f: VU is a linear map if it preserves the vector space transformation [particularly when f: RnRm] ­ linear operator when f: V V [same v.s.] ­ linear mapping ­ linear

Birkett, Stephen

162

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps Development  

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

Solar Maps Development - How the Maps Were Made Solar Maps Development - How the Maps Were Made 10km The State University of New York/Albany satellite radiation model was developed by Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at

163

Site Map - Pantex Plant  

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

Site Map Site Map Site Map Page Content Pantex.com Mission & Strategies Mission National Security Nuclear Explosive Operations Nuclear Material Operations HE Operations Strategies Advance HE Center of Excellence Exemplify a High Reliability Organization Health & Safety Safety Training Occupational Medicine Contractor Safety Environment Environmental Projects & Operations Regulatory Compliance Waste Operations Environmental Management System Environmental Document Library Public Meetings Doing Business With Pantex Procurement How We Buy Subcontracting Opportunities Supplier Information Profile Suspect/Counterfiet Items Business Definitions Documents and Forms Accounts Payable Work for Others Our Capabilities How to do Business with the Pantex eXMC Employee Information Benefits

164

Fractional Standard Map  

E-Print Network [OSTI]

Properties of the phase space of the standard map with memory are investigated. This map was obtained from a kicked fractional differential equation. Depending on the value of the parameter of the map and the fractional order of the derivative in the original differential equation this nonlinear dynamical system demonstrates attractors (fixed points, stables periodic trajectories, slow converging and slow diverging trajectories, ballistic trajectories, and fractal-like structures) and/or chaotic trajectories. At least one type of fractal-like sticky attractors in the chaotic sea was observed.

Mark Edelman; Vasily E. Tarasov

2009-11-24T23:59:59.000Z

165

Dynamics of acyclic interval maps  

E-Print Network [OSTI]

Vol. 6 (2009) Dynamics of acyclic interval maps [16] D.orbits and bifurcation of maps of the interval. SIAM J.Dynamics of acyclic interval maps Morris W. Hirsch He who

Hirsch, Morris W

2009-01-01T23:59:59.000Z

166

Maps of Selected State Subdivisions  

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

Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map...

167

Gasoline direct injection: Actual trends and future strategies for injection and combustion systems  

SciTech Connect (OSTI)

Recent developments have raised increased interest on the concept of gasoline direct injection as the most promising future strategy for fuel economy improvement of SI engines. The general requirements for mixture preparation and combustion systems in a GDI engine are presented in view of known and actual systems regarding fuel economy and emission potential. The characteristics of the actually favored injection systems are discussed and guidelines for the development of appropriate combustion systems are derived. The differences between such mixture preparation strategies as air distributed fuel and fuel wall impingement are discussed, leading to the alternative approach to the problem of mixture preparation with the fully air distributing concept of direct mixture injection.

Fraidl, G.K.; Piock, W.F.; Wirth, M.

1996-09-01T23:59:59.000Z

168

Web Site Map  

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

Help » Web Site Map Help » Web Site Map Web Site Map The links listed below include all pages on the site except document topic pages. Home Privacy/Security Help Web Site Map Mailing Services Remove me from the List Contact Us About Us News and Events News Archives News/Media FAQs Internet Resources Documents DUF6 EIS Historical Context What is an EIS? Why EIS is Needed Who is Responsible? EIS Process EIS Topics EIS Alternatives EIS Schedule Public Involvement Opportunities Public Comment Form For More Info DUF6 Management and Uses Management Responsibilities DUF6 Storage How DUF6 is Stored Where DUF6 is Stored Cylinder Leakage DUF6 Storage Safety DUF6 PEIS Cylinder Surveillance and Maintenance Conversion Potential DU Uses "Business Case" for R&D on Beneficial Uses of DU Catalysts for Destruction of Air Pollutants

169

Surveying & Mapping Surveying  

E-Print Network [OSTI]

in many states. Tuition Discount Residents from New Hampshire, Vermont, Massachusetts services involve locating boundaries, land development, and mapping. Most careers. Employers Graduates work for both private firms and public agencies. The Bureau

Thomas, Andrew

170

ARM - Instrument - maps  

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

govInstrumentsmaps Documentation MAPS : XDC documentation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

171

RMOTC - Contact Us - Maps  

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

Maps M ap - RMOTCs testing facility is located 35 miles north of Casper, Wyoming RMOTC's test site, NPR-3, is located about 35 miles north of Casper, Wyoming. For driving...

172

Dating the Vinland Map  

ScienceCinema (OSTI)

Scientists from Brookhaven National Laboratory, the University of Arizona, and the Smithsonian Institution used carbon-dating technology to determine the age of a controversial parchment that might be the first-ever map of North America.

None

2013-07-17T23:59:59.000Z

173

SRNL Site Map  

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

DOE DOE-EM DOE-SR NNSA SRS SRNS Site Map Disclaimer Legal Information SRNL * Aiken * SC * 29808-0001 * SRNL Operator: 803-725-6211 SRNL is the DOE Office of Environmental...

174

Logistic Map Potentials  

E-Print Network [OSTI]

We develop and illustrate methods to compute all single particle potentials that underlie the logistic map, x --> sx(1-x) for 02. We illustrate the methods numerically for the cases s=5/2 and s=10/3.

Thomas Curtright; Andrzej Veitia

2010-05-27T23:59:59.000Z

175

NREL: MapSearch  

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

to easily search our collection of maps created by the Geographic Information System (GIS) team. Please use the search box and the filters on the left of the screen to limit...

176

Wind Career Map  

K-12 Energy Lesson Plans and Activities Web site (EERE)

This wind career map explores an expanding universe of wind energy occupations, describing diverse jobs across the industry, charting possible progression between them, and identifying the high-quality training necessary to do them well.

177

Directions and Maps  

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

Directions & Maps Directions & Maps Plan Your Visit Visit About the Museum Museum Hours Directions & Maps When to Visit Arrange for a Visit Around Los Alamos Contact Us invisible utility element Directions and Maps Aerial View of Los Alamos Aerial approach to the Los Alamos airport Where we're located Los Alamos (elevation 7,355 feet) is perched high atop the Pajarito Plateau in the Jemez Mountains, 35 miles northwest of Santa Fe. The Bradbury Science Museum is located in downtown Los Alamos at the corner of Central Avenue and 15th Street. If you're driving here and using GPS navigation, our address is 1350 Central Avenue, Los Alamos, NM 87544. How to get here From Albuquerque take I-25 north to Santa Fe (take NM 599 for most direct route), then US 84/285 north to Pojoaque. At Pojoaque take the NM 502 exit

178

Wind Career Map: Resource List  

Broader source: Energy.gov [DOE]

The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

179

Fatty Acid Carcass Mapping  

E-Print Network [OSTI]

FATTY ACID CARCASS MAPPING A Thesis by STACEY NICOLE TURK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 2008... Major Subject: Animal Science FATTY ACID CARCASS MAPPING A Thesis by STACEY NICOLE TURK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE...

Turk, Stacey N.

2010-01-14T23:59:59.000Z

180

Wind Resource Maps (Postcard)  

SciTech Connect (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

Not Available

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

TVDG LET Calculator  

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

To The B N L Tandem Van de Graaff Accelerator To The B N L Tandem Van de Graaff Accelerator TVDG LET Calculator This program calculates the Peak LET, Corresponding Energy and Range as well as the LET and Range at the Specified Energy for the Specified Ion in the Specified Target. Select the Target Material from the dropdown list. Select the Ion Specie from the dropdown list. Enter the Total Ion Energy in the text box. This is equal to the Atomic Mass times the Energy/Nucleon. Click the 'Calculate' button or press the 'Enter' key. The Peak LET, Corresponding Energy and Range as well as the LET and Range at the Specified Energy for the Specified Ion in the Specified Target will be returned. Select your Target from the list Air Aluminum Oxide Carbon Copper Gallium Arsenide Gold Polyester Polyethylene Silicon Silicon Dioxide Skin Soda Lime Glass Sodium Iodide Water Select your Ion from the list

182

Solar Reflectance Index Calculator  

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

Reflectance Index Calculator Reflectance Index Calculator ASTM Designation: E 1980-01 Enter A State: Select a state Alabama Alaska Arkansas Arizona California Colorado Connecticut Delaware Florida Georgia Hawaii Iowa Idaho Illinois Indiana Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana North Carolina North Dakota Nebraska Nevada New Hampshire New Jersey New Mexico New York Ohio Oklahoma Oregon Pennsylvania Pacific Islands Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington Wisconsin West Virginia Wyoming Canadian Cities Enter A City: Select a city Wind Speed (mph) Wind Speed (m/s) Please input both the SR and the TE and the convection coeficient and surface temperature will be calculated

183

Geothermal Life Cycle Calculator  

SciTech Connect (OSTI)

This calculator is a handy tool for interested parties to estimate two key life cycle metrics, fossil energy consumption (Etot) and greenhouse gas emission (ghgtot) ratios, for geothermal electric power production. It is based solely on data developed by Argonne National Laboratory for DOE’s Geothermal Technologies office. The calculator permits the user to explore the impact of a range of key geothermal power production parameters, including plant capacity, lifetime, capacity factor, geothermal technology, well numbers and depths, field exploration, and others on the two metrics just mentioned. Estimates of variations in the results are also available to the user.

Sullivan, John

2014-03-11T23:59:59.000Z

184

Maximum-Likelihood Continuity Mapping (MALCOM): An Alternative to HMMs  

SciTech Connect (OSTI)

The authors describe Maximum-Likelihood Continuity Mapping (MALCOM) as an alternative to hidden Markov models (HMMs) for processing sequence data such as speech. While HMMs have a discrete ''hidden'' space constrained by a fixed finite-automata architecture, MALCOM has a continuous hidden space (a continuity map) that is constrained only by a smoothness requirement on paths through the space. MALCOM fits into the same probabilistic framework for speech recognition as HMMs, but it represents a far more realistic model of the speech production process. The authors support this claim by generating continuity maps for three speakers and using the resulting MALCOM paths to predict measured speech articulator data. The correlations between the MALCOM paths (obtained from only the speech acoustics) and the actual articulator movements average 0.77 on an independent test set not used to train MALCOM nor the predictor. On average, this unsupervised model achieves 92% of performance obtained using the corresponding supervised method.

Nix, D.A.; Hogden, J.E.

1998-12-01T23:59:59.000Z

185

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department;Diffusion Maps for Changing Data Collaborators Ronald Coifman (Yale University) Roy Lederman (Yale University) #12;Diffusion Maps for Changing Data How to compare images across sensors? Figure: Sokolov Mine

Hirn, Matthew

186

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department of Mathematics Yale University July 26, 2012 Bell Labs #12;Diffusion Maps for Changing Data Collaborators Joint work with Ronald Coifman and Roy Lederman. #12;Diffusion Maps for Changing Data Overview 1 High

Hirn, Matthew

187

THE SCALE PROBLEM FOR OLD MAPS (and mental maps)  

E-Print Network [OSTI]

THE SCALE PROBLEM FOR OLD MAPS (and mental maps) Waldo Tobler From the theory of cartography we know that the instantaneous scale at a point on any map is always represented by the equation: dS2 /ds2 = g cos2 + 2g cos sin + g sin2 . This shows that the scale on a map is generally different in all

Tobler, Waldo

188

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department of Mathematics Yale University November 29, 2012 Kansas State University Colloquium #12;Diffusion Maps;Diffusion Maps for Changing Data How to compare images across sensors? Figure: Sokolov Mine in 2009 and 2010

Hirn, Matthew

189

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department in Honor of the 70th Birthday of David R. Larson #12;Diffusion Maps for Changing Data Collaborators Joint work with Ronald Coifman and Roy Lederman. #12;Diffusion Maps for Changing Data High Dimensional Data

Hirn, Matthew

190

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn September 3, 2013 #12;Diffusion Maps for Changing Data Collaborators Simon Adar, Tel Aviv University Eyal Ben Dor, Tel, Clarkson University Yoel Shkolnisky, Tel Aviv University #12;Diffusion Maps for Changing Data Heat equation

Hirn, Matthew

191

A COGNITIVE-SYSTEMIC RECONSTRUCTION OF MASLOW'S THEORY OF SELF-ACTUALIZATION  

E-Print Network [OSTI]

A COGNITIVE-SYSTEMIC RECONSTRUCTION OF MASLOW'S THEORY OF SELF-ACTUALIZATION by Francis Heylighen1-order, cognitive-sys- temic framework. A hierarchy of basic needs is derived from the ur- gency of perturbations: material, cognitive and subjective. Material and/or cognitive incompetence during child- hood create

Toint, Philippe

192

SAMPLE GENERAL TERMS WHEN PURCHASING SERVICES* ACTUAL TERMS REQUIRED WILL BE DETERMINED BY CONTRACTS &  

E-Print Network [OSTI]

1 SAMPLE GENERAL TERMS WHEN PURCHASING SERVICES* ACTUAL TERMS REQUIRED WILL BE DETERMINED Contracts and Procurement (x4532) if you have questions regarding purchasing services. 1. Independent Status in an independent capacity and not as officers or employees or agents of the State of California. While Contractor

de Lijser, Peter

193

Powered by 500 Trillion Calculations | Department of Energy  

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

Powered by 500 Trillion Calculations Powered by 500 Trillion Calculations Powered by 500 Trillion Calculations April 15, 2011 - 5:31pm Addthis Blood flow visualization | Photo Courtesy of Argonne National Laboratory Blood flow visualization | Photo Courtesy of Argonne National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? Argonne's supercomputer is using its superpowers to map the movement of red blood cells -- which will hopefully lead to better diagnoses and treatments for patients with blood flow complications. With the power of 500 trillion calculations per second, a team of scientists from the Department of Energy's Argonne National Laboratory (ANL) and Brown University are mapping the movement of red blood cells -- hoping this will lead to better diagnoses and treatments for patients with

194

Carbon Footprint Calculator  

Broader source: Energy.gov [DOE]

This calculator estimates the amount of carbon emissions you and members of your household are responsible for. It does not include emissions associated with your work or getting to work if you commute by public transportation. It was developed by IEEE Spectrum magazine.

195

Road Map for a Modular Magnetic Fusion Program Dale M. Meade  

E-Print Network [OSTI]

1 Road Map for a Modular Magnetic Fusion Program Dale M. Meade Princeton Plasma Physics Laboratory Princeton University During the past several decades magnetic fusion has made outstanding progress in understanding the science of fusion plasmas, the achievement of actual fusion plasmas and the development of key

196

Variational calculation of the trapping rate in thermal barriers  

SciTech Connect (OSTI)

A variational calculation of the trapping rate and trapped ion density in thermal barriers is presented. The effects of diffusion in energy as well as pitch angle scattering are retained. The variational formulation uses the actual trapped-passing boundary in velocity space. The boundary condition is that the trapped ion distribution function matches the passing ion distribution function, which is taken to be a Maxwellian, on the boundary. The results compare well with two-dimensional Fokker-Planck code calculations by Futch and LoDestro.

Li, X.Z.; Emmert, G.A.

1982-10-01T23:59:59.000Z

197

Career Map: Assembler and Fabricator  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Assembler and Fabricator positions.

198

Career Map: Analyst/Researcher  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Analyst/Researcher positions.

199

Career Map: Land Acquisition Specialist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Land Acquisition Specialist positions.

200

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Federal Energy  

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

Federal Energy Management Program Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been archived. If you have a need for one of the archived maps, please contact the Webmaster. This new application examines the viability of three solar technologies in the United States with a high-level annualized economic calculation, with and without potential savings from available renewable energy incentives at the state and federal level. This map allows users to access the results of those calculations, look in more detail at their areas of interest, and overlay other layers, such as renewable energy resource data for solar,

Note: This page contains sample records for the topic "maps calculated actual" 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

Hydrogen Threshold Cost Calculation  

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

Program Record (Offices of Fuel Cell Technologies) Program Record (Offices of Fuel Cell Technologies) Record #: 11007 Date: March 25, 2011 Title: Hydrogen Threshold Cost Calculation Originator: Mark Ruth & Fred Joseck Approved by: Sunita Satyapal Date: March 24, 2011 Description: The hydrogen threshold cost is defined as the hydrogen cost in the range of $2.00-$4.00/gge (2007$) which represents the cost at which hydrogen fuel cell electric vehicles (FCEVs) are projected to become competitive on a cost per mile basis with the competing vehicles [gasoline in hybrid-electric vehicles (HEVs)] in 2020. This record documents the methodology and assumptions used to calculate that threshold cost. Principles: The cost threshold analysis is a "top-down" analysis of the cost at which hydrogen would be

202

Steep Slope Calculator  

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

Steep Slope Calculator Steep Slope Calculator Estimates Cooling and Heating Savings for Residential Roofs with Non-Black Surfaces Enter A State: Select a state Alabama Alaska Arkansas Arizona California Colorado Connecticut Delaware Florida Georgia Hawaii Iowa Idaho Illinois Indiana Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana North Carolina North Dakota Nebraska Nevada New Hampshire New Jersey New Mexico New York Ohio Oklahoma Oregon Pennsylvania Pacific Islands Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington Wisconsin West Virginia Wyoming Canadian Cities Enter A City: Select a city Click to see Data for All 243 Locations Roof Inputs: R-value(Btu-in/(hr ft2 oF):

203

SRNL - Directions and Maps  

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

Map of SRS, with Georgia and South Carolina Map of SRS, with Georgia and South Carolina Directions and Maps The Savannah River National Laboratory is located at the Savannah River Site , a 310 square mile site located in the southeastern coastal area of the United States in the state of South Carolina. It is bordered to the west by the Savannah River and Georgia, and is close to several major cities, including Augusta and Savannah (Ga.), Columbia, Greenville, and Charleston (S.C.). It is in an area residents refer to as the Central Savannah River Area, or CSRA. The Aiken County Technology Laboratory (which houses SRNL's biotechnology laboratories and certain waste treatment technology laboratories) and the Center for Hydrogen Research are located at Aiken County's Savannah River Research Campus, located adjacent to SRS.

204

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

205

Manhattan Project: Site Map  

Office of Scientific and Technical Information (OSTI)

SITE MAP SITE MAP Resources > Site Map THE MANHATTAN PROJECT Events 1890s-1939: Atomic Discoveries A Miniature Solar System, 1890s-1919 Exploring the Atom, 1919-1932 Atomic Bombardment, 1932-1938 The Discovery of Fission, 1938-1939 Fission Comes to America, 1939 1939-1942: Early Government Support Einstein's Letter, 1939 Early Uranium Research, 1939-1941 Piles and Plutonium, 1939-1941 Reorganization and Acceleration, 1940-1941 The MAUD Report, 1941 A Tentative Decision to Build the Bomb, 1941-1942 1942: Difficult Choices More Uranium Research, 1942 More Piles and Plutonium, 1942 Enter the Army, 1942 Groves and the MED, 1942 Picking Horses, November 1942 Final Approval to Build the Bomb, December 1942 1942-1944: The Uranium Path to the Bomb Y-12: Design, 1942-1943 Y-12: Construction, 1943

206

mapping | OpenEI  

Open Energy Info (EERE)

mapping mapping Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords GIS global irradiance latitude mapping NASA renewable energy solar solar PV SWERA TILT UNEP Data text/csv icon Latitude Tilt Radiation (kWh/m^2/day) (csv, 11.8 MiB) application/zip icon Download Shapefile (zip, 5 MiB)

207

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

208

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

209

A variational calculation of the trapping rate in thermal barriers  

Science Journals Connector (OSTI)

A variational calculation of the trapping rate and trapped-ion density in thermal barriers is presented. The effects of diffusion in energy as well as pitch-angle scattering are retained. The variational formulation uses the actual trapped/passing boundary in velocity space. The boundary condition is that the trapped-ion distribution function match the passing-ion distribution function, which is taken to be a Maxwellian, on the boundary. The results compare well with the two-dimensional Fokker-Planck code calculations by Futch and LoDestro. The CPU time for a variational calculation is less than 0.1 s using the CRAY-I computer, while a typical Fokker-Planck code calculation takes 10–20 min.

X.Z. Li; G.A. Emmert

1984-01-01T23:59:59.000Z

210

A computer program for HVDC converter station RF noise calculations  

SciTech Connect (OSTI)

HVDC converter station operations generate radio frequency (RF) electromagnetic (EM) noise which could interfere with adjacent communication and computer equipment, and carrier system operations. A generic Radio Frequency Computer Analysis Program (RAFCAP) for calculating the EM noise generated by valve ignition of a converter station has been developed as part of a larger project. The program calculates RF voltages, currents, complex power, ground level electric field strength and magnetic flux density in and around an HVDC converter station. The program requires the converter station network to be represented by frequency dependent impedance functions. Comparisons of calculated and measured values are given for an actual HVDC station to illustrate the validity of the program. RAFCAP is designed to be used by engineers for the purpose of calculating the RF noise produced by the igniting of HVDC converter valves.

Kasten, D.G.; Caldecott, R.; Sebo, S.A. (Ohio State Univ., Columbus, OH (United States). Dept. of Electrical Engineering); Liu, Y. (Virginia Polytechnic Inst. State Univ., Blacksburg, VA (United States). Bradley Dept. of Electrical Engineering)

1994-04-01T23:59:59.000Z

211

Wind energy calculated from SAR and scatterometer satellite data  

E-Print Network [OSTI]

. · Offshore wind resources estimated from SAR · On WASP · Wind indexing based on scatterometer · Wake effects footprint 62 m footprint Wind field maps from SAR are valid for 10 m height #12;7 Slide no. 62 m 10 m Upwind1 Slide no. 4 Wind energy calculated from SAR and scatterometer satellite data Charlotte Bay

212

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps  

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

Bookmark and Share Bookmark and Share Maps NREL's GIS team develops maps for various renewable resources and for specific projects. As a benefit to the public, a majority of static maps are offered and Google Map (KML/KMZ) files on a tool called MapSearch. Biomass Maps Maps showing the biomass resources available in the United States by county. Feedstock categories include crop residues; forest residues; primary and secondary mill residues; urban wood waste; and methane emissions from manure management, landfills, and domestic wastewater treatment. Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been

213

Maps and inverse maps in open quantum dynamics  

SciTech Connect (OSTI)

Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite different for the same unitary dynamics in the same situation in the larger system. An affine form is used for both kinds of maps to find necessary and sufficient conditions for inverse maps. All the different maps with the same homogeneous part in their affine forms have inverses if and only if the homogeneous part does. Some of these maps are completely positive; others are not, but the homogeneous part is always completely positive. The conditions for an inverse are the same for maps that are not completely positive as for maps that are. For maps defined for fixed mean values, the homogeneous part depends only on the unitary operator for the dynamics of the larger system, not on any state or mean values or correlations. Necessary and sufficient conditions for an inverse are stated several different ways: in terms of the maps of matrices, basis matrices, density matrices, or mean values. The inverse maps are generally not tied to the dynamics the way the maps forward are. A trace-preserving completely positive map that is unital cannot have an inverse that is obtained from any dynamics described by any unitary operator for any states of a larger system.

Jordan, Thomas F., E-mail: tjordan@d.umn.ed [Physics Department, University of Minnesota, Duluth, MN 55812 (United States)

2010-10-15T23:59:59.000Z

214

Maps and inverse maps in open quantum dynamics  

E-Print Network [OSTI]

Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite different for the same unitary dynamics in the same situation in the larger system. An affine form is used for both kinds of maps to find necessary and sufficient conditions for inverse maps. All the different maps with the same homogeneous part in their affine forms have inverses if and only if the homogeneous part does. Some of these maps are completely positive; others are not, but the homogeneous part is always completely positive. The conditions for an inverse are the same for maps that are not completely positive as for maps that are. For maps defined for fixed mean values, the homogeneous part depends only on the unitary operator for the dynamics of the larger system, not on any state or mean values or correlations. Necessary and sufficient conditions for an inverse are stated several different ways: in terms of the maps of matrices, basis matrices, density matrices, or mean values. The inverse maps are generally not tied to the dynamics the way the maps forward are. A trace-preserving completely positive map that is unital can not have an inverse that is obtained from any dynamics described by any unitary operator for any states of a larger system.

Thomas F. Jordan

2008-07-08T23:59:59.000Z

215

"Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual"  

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

Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual" Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual" "Projected" " (million metric tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",5060,5129.666667,5184.666667,5239.666667,5287.333333,5335,5379,5437.666667,5481.666667,5529.333333,5599,5657.666667,5694.333333,5738.333333,5797,5874,5925.333333,5984 "AEO 1995",,5137,5173.666667,5188.333333,5261.666667,5309.333333,5360.666667,5393.666667,5441.333333,5489,5551.333333,5621,5679.666667,5727.333333,5775,5841,5888.666667,5943.666667 "AEO 1996",,,5181.817301,5223.645142,5294.776326,5354.687297,5416.802205,5463.67395,5525.288005,5588.52771,5660.226888,5734.87972,5812.398031,5879.320068,5924.814575,5981.291626,6029.640422,6086.804077,6142.120972

216

Actual and Estimated Energy Savings Comparison for Deep Energy Retrofits in the Pacific Northwest  

SciTech Connect (OSTI)

Seven homes from the Pacific Northwest were selected to evaluate the differences between estimated and actual energy savings achieved from deep energy retrofits. The energy savings resulting from these retrofits were estimated, using energy modeling software, to save at least 30% on a whole-house basis. The modeled pre-retrofit energy use was trued against monthly utility bills. After the retrofits were completed, each of the homes was extensively monitored, with the exception of one home which was monitored pre-retrofit. This work is being conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. This work found many discrepancies between actual and estimated energy savings and identified the potential causes for the discrepancies. The differences between actual energy use and modeled energy use also suggest improvements to improve model accuracy. The difference between monthly whole-house actual and estimated energy savings ranged from 75% more energy saved than predicted by the model to 16% less energy saved for all the monitored homes. Similarly, the annual energy savings difference was between 36% and -14%, which was estimated based on existing monitored savings because an entire year of data is not available. Thus, on average, for all six monitored homes the actual energy use is consistently less than estimates, indicating home owners are saving more energy than estimated. The average estimated savings for the eight month monitoring period is 43%, compared to an estimated savings average of 31%. Though this average difference is only 12%, the range of inaccuracies found for specific end-uses is far greater and are the values used to directly estimate energy savings from specific retrofits. Specifically, the monthly post-retrofit energy use differences for specific end-uses (i.e., heating, cooling, hot water, appliances, etc.) ranged from 131% under-predicted to 77% over-predicted by the model with respect to monitored energy use. Many of the discrepancies were associated with occupant behavior which influences energy use, dramatically in some cases, actual versus modeled weather differences, modeling input limitations, and complex homes that are difficult to model. The discrepancy between actual and estimated energy use indicates a need for better modeling tools and assumptions. Despite the best efforts of researchers, the estimated energy savings are too inaccurate to determine reliable paybacks for retrofit projects. While the monitored data allows researchers to understand why these differences exist, it is not cost effective to monitor each home with the level of detail presented here. Therefore an appropriate balance between modeling and monitoring must be determined for more widespread application in retrofit programs and the home performance industry. Recommendations to address these deficiencies include: (1) improved tuning process for pre-retrofit energy use, which currently utilized broad-based monthly utility bills; (2) developing simple occupant-based energy models that better address the many different occupant types and their impact on energy use; (3) incorporating actual weather inputs to increase accuracy of the tuning process, which uses utility bills from specific time period; and (4) developing simple, cost-effective monitoring solutions for improved model tuning.

Blanchard, Jeremy; Widder, Sarah H.; Giever, Elisabeth L.; Baechler, Michael C.

2012-10-01T23:59:59.000Z

217

A comparative study on conventional and advanced exergetic analyses of geothermal district heating systems based on actual operational data  

Science Journals Connector (OSTI)

This paper comparatively evaluates exergy destructions of a geothermal district heating system (GDHS) using both conventional and advanced exergetic analysis methods to identify the potential for improvement and the interactions among the components. As a real case study, the Afyon GDHS in Afyonkarahisar, Turkey, is considered based on actual operational data. For the first time, advanced exergetic analysis is applied to the GDHSs, in which the exergy destruction rate within each component is split into unavoidable/avoidable and endogenous/exogenous parts. The results indicate that the interconnections among all the components are not very strong. Thus, one should focus on how to reduce the internal inefficiency (destruction) rates of the components. The highest priority for improvement in the advanced exergetic analysis is in the re-injection pump (PM-IX), while it is the heat exchanger (HEX-III) in the conventional analysis. In addition, there is a substantial influence on the overall system as the total avoidable exergy destruction rate of the heat exchanger (HEX-V) has the highest value. On the overall system basis, the value for the conventional exergetic efficiency is determined to be 29.29% while that for the modified exergetic efficiency is calculated to be 34.46% through improving the overall components.

Arif Hepbasli; Ali Keçeba?

2013-01-01T23:59:59.000Z

218

Production-ecological modelling explains the difference between potential soil N mineralisation and actual herbage N uptake  

Science Journals Connector (OSTI)

Abstract We studied two different grassland fertiliser management regimes on sand and peat soils: above-ground application of a combination of organic N-rich slurry manure and solid cattle manure (SCM) vs. slit-injected, mineral N-rich slurry manure, whether or not supplemented with chemical fertiliser (non-SCM). Measurements of field N mineralisation as estimated from herbage N uptake in unfertilised plots were compared with (i) potential N mineralisation as determined from a standard laboratory soil incubation, (ii) the contribution of groups of soil organisms to N mineralisation based on production-ecological model calculations, and (iii) N mineralisation calculated according to the Dutch fertilisation recommendation for grasslands. Density and biomass of soil biota (bacteria, fungi, enchytraeids, microarthropods and earthworms) as well as net plant N-uptake were higher in the SCM input grasslands compared to the non-SCM input grasslands. The currently used method in Dutch fertilisation recommendations underestimated actual soil N supply capacity by, on average, 102 kg N ha?1 (202 vs. 304 kg ha?1 = 34%). The summed production-ecological model estimate for N mineralisation by bacteria, fungi, protozoa, and enchytraeids was 87–120% of the measured potential soil N mineralisation. Adding the modelled N mineralisation by earthworms to potential soil N mineralisation explained 98–107% of the measured herbage N uptake from soil. For all grasslands and soil biota groups together, the model estimated 105% of the measured net herbage N uptake from soil. Soil biota production-ecological modelling is a powerful tool to understand and predict N uptake in grassland, reflecting the effects of previous manure management and soil type. The results show that combining production ecological modelling to predict N supply with existing soil N tests using aerobic incubation methods, can add to a scientifically based improvement of the N fertilisation recommendations for production grasslands.

Muhammad Imtiaz Rashid; Ron G.M. de Goede; Lijbert Brussaard; Jaap Bloem; Egbert A. Lantinga

2014-01-01T23:59:59.000Z

219

The Multiple Peril Crop Insurance Actual Production History (APH) Insurance Plan  

E-Print Network [OSTI]

Economics, Professor and Extension Economist? Management, The Texas A&M System; and Extension Agricultural Economist, Kansas State University Agricultural Experiment Station and Cooperative Extension Service. The U.S. Dept. of Agriculture?s (USDA) Risk..., levels of coverage, price elections, applicable premium rates and subsidy amounts. The special provisions list program calendar dates and contain general and special statements that may further define, limit or modify coverage. MPCI?s Actual...

Stokes, Kenneth; Barnaby, G. A. Art; Waller, Mark L.; Outlaw, Joe

2008-10-07T23:59:59.000Z

220

Jobs Calculator | Department of Energy  

Energy Savers [EERE]

Jobs Calculator Jobs Calculator owipjobscalculatorv11-0.xls More Documents & Publications bbanxxxxxxxpmcprogressreport2y12qx.xlsx Job Counting Guidelines Title...

Note: This page contains sample records for the topic "maps calculated actual" 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

Characterization, Leaching, and Filtration Testing for Tributyl Phosphate (TBP, Group 7) Actual Waste Sample Composites  

SciTech Connect (OSTI)

.A testing program evaluating actual tank waste was developed in response to Task 4 from the M-12 External Flowsheet Review Team (EFRT) issue response plan. The bulk water-insoluble solid wastes that are anticipated to be delivered to the Waste Treatment and Immobilization Plant (WTP) were identified according to type such that the actual waste testing could be targeted to the relevant categories. Eight broad waste groupings were defined. Samples available from the 222S archive were identified and obtained for testing. The actual waste-testing program included homogenizing the samples by group, characterizing the solids and aqueous phases, and performing parametric leaching tests. The tributyl phosphate sludge (TBP, Group 7) is the subject of this report. The Group 7 waste was anticipated to be high in phosphorus as well as aluminum in the form of gibbsite. Both are believed to exist in sufficient quantities in the Group 7 waste to address leaching behavior. Thus, the focus of the Group 7 testing was on the removal of both P and Al. The waste-type definition, archived sample conditions, homogenization activities, characterization (physical, chemical, radioisotope, and crystal habit), and caustic leaching behavior as functions of time, temperature, and hydroxide concentration are discussed in this report. Testing was conducted according to TP-RPP-WTP-467.

Edwards, Matthew K.; Billing, Justin M.; Blanchard, David L.; Buck, Edgar C.; Casella, Amanda J.; Casella, Andrew M.; Crum, J. V.; Daniel, Richard C.; Draper, Kathryn E.; Fiskum, Sandra K.; Jagoda, Lynette K.; Jenson, Evan D.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Shimskey, Rick W.; Snow, Lanee A.; Swoboda, Robert G.

2009-03-09T23:59:59.000Z

222

Treatability studies of actual listed waste sludges from the Oak Ridge Reservation (ORR)  

SciTech Connect (OSTI)

Oak Ridge National Laboratory (ORNL) and Savannah River Technology Center (SRTC) are investigating vitrification for various low-level and mixed wastes on the Oak Ridge Reservation (ORR). Treatability studies have included surrogate waste formulations at the laboratory-, pilot-, and field-scales and actual waste testing at the laboratory- and pilot-scales. The initial waste to be processing through SRTC`s Transportable Vitrification System (TVS) is the K-1407-B and K-1407-C (B/C) Pond sludge waste which is a RCRA F-listed waste. The B/C ponds at the ORR K-25 site were used as holding and settling ponds for various waste water treatment streams. Laboratory-, pilot-, and field- scale ``proof-of-principle`` demonstrations are providing needed operating parameters for the planned field-scale demonstration with actual B/C Pond sludge waste at ORR. This report discusses the applied systems approach to optimize glass compositions for this particular waste stream through laboratory-, pilot-, and field-scale studies with surrogate and actual B/C waste. These glass compositions will maximize glass durability and waste loading while optimizing melt properties which affect melter operation, such as melt viscosity and melter refractory corrosion. Maximum waste loadings minimize storage volume of the final waste form translating into considerable cost savings.

Jantzen, C.M.; Peeler, D.K. [Westinghouse Savannah River Co., Aiken, SC (United States); Gilliam, T.M.; Bleier, A.; Spence, R.D. [Oak Ridge National Lab., TN (United States)

1996-05-06T23:59:59.000Z

223

Laboratory stabilization/solidification of surrogate and actual mixed-waste sludge in glass and grout  

SciTech Connect (OSTI)

Grouting and vitrification are currently the most likely stabilization/solidification technologies for mixed wastes. Grouting has been used to stabilize and solidify hazardous and low-level waste for decades. Vitrification has long been developed as a high-level-waste alternative and has been under development recently as an alternative treatment technology for low-level mixed waste. Laboratory testing has been performed to develop grout and vitrification formulas for mixed-waste sludges currently stored in underground tanks at Oak Ridge National Laboratory (ORNL) and to compare these waste forms. Envelopes, or operating windows, for both grout and soda-lime-silica glass formulations for a surrogate sludge were developed. One formulation within each envelope was selected for testing the sensitivity of performance to variations ({+-}10 wt%) in the waste form composition and variations in the surrogate sludge composition over the range previously characterized in the sludges. In addition, one sludge sample of an actual mixed-waste tank was obtained, a surrogate was developed for this sludge sample, and grout and glass samples were prepared and tested in the laboratory using both surrogate and the actual sludge. The sensitivity testing of a surrogate tank sludge in selected glass and grout formulations is discussed in this paper, along with the hot-cell testing of an actual tank sludge sample.

Spence, R.D.; Gilliam, T.M.; Mattus, C.H.; Mattus, A.J.

1998-03-03T23:59:59.000Z

224

Cool Roof Calculator | Open Energy Information  

Open Energy Info (EERE)

Cool Roof Calculator Cool Roof Calculator Jump to: navigation, search Tool Summary Name: Cool Roof Calculator Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: www.ornl.gov/sci/roofs+walls/facts/CoolCalcEnergy.htm Country: United States Cost: Free Northern America Coordinates: 37.09024°, -95.712891° 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":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

225

Field Mapping | Open Energy Information  

Open Energy Info (EERE)

Field Mapping Field Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Field Mapping Details Activities (59) Areas (35) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Stratigraphic/Structural: Map fault and fracture patterns, kinematic information. Hydrological: Map surface manifestations of geothermal systems. Thermal: Map surface temperature. Cost Information Low-End Estimate (USD): 400.0040,000 centUSD 0.4 kUSD 4.0e-4 MUSD 4.0e-7 TUSD / hour Median Estimate (USD): 600.0060,000 centUSD

226

Genetic algorithm eclipse mapping  

E-Print Network [OSTI]

In this paper we analyse capabilities of eclipse mapping technique, based on genetic algorithm optimization. To model of accretion disk we used the "fire-flies" conception. This model allows us to reconstruct the distribution of radiating medium in the disk using less number of free parameters than in other methods. Test models show that we can achieve good approximation without optimizing techniques.

Halevin, A V

2008-01-01T23:59:59.000Z

227

PARKING MAP Sales Office  

E-Print Network [OSTI]

PARKING MAP BayDr. Main Entrance Parking Sales Office Main Entrance Kiosk East Remote Lot, B, C111, MC, N, NC, , Medical M 2hr 112 Core West Structure A, B, EV, MC, N, NC, , Medical P 2hr 113

Wilmers, Chris

228

Historical Maps Online  

E-Print Network [OSTI]

geospatial data to see change over time. The online map collection can be accessed over the Internet from search engines, library catalogs, GIS databases and many other entry points. Rumsey continues to add new content to the online collection and develops...

Rumsey, David Y.

2005-01-31T23:59:59.000Z

229

Horizontal well IPR calculations  

SciTech Connect (OSTI)

This paper presents the calculation of near-wellbore skin and non-Darcy flow coefficient for horizontal wells based on whether the well is drilled in an underbalanced or overbalanced condition, whether the well is completed openhole, with a slotted liner, or cased, and on the number of shots per foot and phasing for cased wells. The inclusion of mechanical skin and the non-Darcy flow coefficient in previously published horizontal well equations is presented and a comparison between these equations is given. In addition, both analytical and numerical solutions for horizontal wells with skin and non-Darcy flow are presented for comparison.

Thomas, L.K.; Todd, B.J.; Evans, C.E.; Pierson, R.G.

1996-12-31T23:59:59.000Z

230

Comparing the accuracy of four-dimensional photon dose calculations with three-dimensional calculations using moving and deforming phantoms  

SciTech Connect (OSTI)

Purpose: Four-dimensional (4D) dose calculation algorithms, which explicitly incorporate respiratory motion in the calculation of doses, have the potential to improve the accuracy of dose calculations in thoracic treatment planning; however, they generally require greater computing power and resources than currently used for three-dimensional (3D) dose calculations. The purpose of this work was to quantify the increase in accuracy of 4D dose calculations versus 3D dose calculations. Methods: The accuracy of each dose calculation algorithm was assessed using measurements made with two phantoms. Specifically, the authors used a rigid moving anthropomorphic thoracic phantom and an anthropomorphic thoracic phantom with a deformable lung insert. To incorporate a clinically relevant range of scenarios, they programed the phantoms to move and deform with two motion patterns: A sinusoidal motion pattern and an irregular motion pattern that was extracted from an actual patient's breathing profile. For each combination of phantom and motion pattern, three plans were created: A single-beam plan, a multiple-beam plan, and an intensity-modulated radiation therapy plan. Doses were calculated using 4D dose calculation methods as well as conventional 3D dose calculation methods. The rigid moving and deforming phantoms were irradiated according to the three treatment plans and doses were measured using thermoluminescent dosimeters (TLDs) and radiochromic film. The accuracy of each dose calculation algorithm was assessed using measured-to-calculated TLD doses and a {gamma} analysis. Results: No significant differences were observed between the measured-to-calculated TLD ratios among 4D and 3D dose calculations. The {gamma} results revealed that 4D dose calculations had significantly greater percentage of pixels passing the 5%/3 mm criteria than 3D dose calculations. Conclusions: These results indicate no significant differences in the accuracy between the 4D and the 3D dose calculation methods inside the gross tumor volume. On the other hand, the film results demonstrated that the 4D dose calculations provided greater accuracy than 3D dose calculations in heterogeneous dose regions. The increase in accuracy of the 4D dose calculations was evident throughout the planning target volume.

Vinogradskiy, Yevgeniy Y.; Balter, Peter; Followill, David S.; Alvarez, Paola E.; White, R. Allen; Starkschall, George [Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States); Department of Bioinformatics and Computational Biology, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States); Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States)

2009-11-15T23:59:59.000Z

231

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques  

Open Energy Info (EERE)

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Abstract Research into the practicality of digital mapping by Placer Dome Exploration identified hardware and software solutions to enhance the efficiency and accuracy of field work. The goal of the research was to find a lightweight hardware-software system that allows the user to build a digital map from field observations in much the same way as pen and paper methods. The focus of the research was to minimize the size and weight of computer systems. Systems identified consist of a wearable PC or handheld

232

Calculation Theory of Nonuniform Distribution in Cleanroom  

Science Journals Connector (OSTI)

Due to the nonuniform distributions of airflow and dust particles, particles in cleanroom are actually not evenly distributed. This chapter...

Zhonglin Xu

2014-01-01T23:59:59.000Z

233

Method for calculating strontium sulfate solubility  

SciTech Connect (OSTI)

This paper presents a method of predicting the tendency of brines to deposit strontium sulfate scale. Strontium sulfate solubility product constants were determined in the laboratory at temperatures of 50, 75, 122 and 156/sup 0/F and ionic strengths of sodium chloride solutions from 0.1 to 5.25. Solid strontium sulfate was prepared and tagged with radioactive sulfur-35. Excess of this strontium sulfate was added to the sodium chloride solutions and shaken at the various temperatures until equilibrium was reached. The filtrate was analyzed for sulfate ion using a liquid scintillation counter and for strontium ion using an atomic absorption spectrophotometer. The solubility products were expressed graphically as K/sub sp/ versus ionic strength at various temperatures. A series of synthetic brines containing various amounts of sodium, magnesium, calcium, strontium and chloride ions was prepared. The solubilities of strontium sulfate in these brines were calculated using the known ionic strengths and solubility data obtained from the experiments with the sodium chloride solutions. These calculated values were compared with actual values determined in the same manner as those from the sodium chloride values.

Fletcher, G.E.; French, T.R.; Collins, A.G.

1981-04-01T23:59:59.000Z

234

NDB Site Map  

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

Site map NDB Home Search Structures Search DNA Search RNA Advanced Search Nucleic acid tools RNA 3D motif atlas Non-redundant lists RNA base triples atlas WebFR3D R3D Align Contact NDB Mailing Address About NDB NDB Members Goal References Publications Site map Tools Software Standards Standard Reference Supplementary Information Ideal Geometries X-PLOR Parameters Valence Geometries RNA Ontology Consortium mmCIF Resources PDBML Resources Education Introduction to Nucleic Acids: DNA Definition of terms RNA Base Pair Families RNA Base-Phosphate Families Base Stacking Interactions Non Redundant list Equivalence classes RNA 3D Motifs Relative Frequency Introduction to Nucleic Acids: RNA Nucleic Acid Highlight (PDB): DNA DNA Polymerase Nucleosome Transfer RNA RNA Polymerase Self-splicing RNA

235

Technology Transfer: Site Map  

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

Site Map Site Map About Us About Technology Transfer Contact Us Available Technologies Advanced Materials Biofuels Biotechnology and Medicine Developing World Energy Environmental Technologies Imaging and Lasers Ion Sources and Beam Technologies Nanotechnology and Microtechnology Software and Information Technology For Industry Licensing Overview Frequently Asked Questions Partnering with Berkeley Lab Licensing Interest Form Receive New Tech Alerts For Researchers What You Need to Know and Do The Tech Transfer Process Forms Record of Invention (Word doc -- please do not use earlier PDF version of the form) Software Disclosure and Abstract (PDF, use Adobe Acrobat or Adobe Reader 9 and up ONLY to complete the form) Policies Conflict of Interest Outside Empolyment Export Control FAQs for Researchers

236

Husimi Maps in Graphene  

E-Print Network [OSTI]

We present a method for bridging the gap between the Dirac effective field theory and atomistic simulations in graphene based on the Husimi projection, allowing us to depict phenomena in graphene at arbitrary scales. This technique takes the atomistic wavefunction as an input, and produces semiclassical pictures of quasiparticles in the two Dirac valleys. We use the Husimi tech- nique to produce maps of the scattering behavior of boundaries, giving insight into the properties of wavefunctions at energies both close to and far from the Dirac point. Boundary conditions play a significant role to the rise of Fano resonances, which we examine using the Husimi map to deepen our understanding of bond currents near resonance.

Douglas J. Mason; Mario F. Borunda; Eric J. Heller

2012-06-08T23:59:59.000Z

237

Spectral conditions for positive maps  

E-Print Network [OSTI]

We provide a partial classification of positive linear maps in matrix algebras which is based on a family of spectral conditions. This construction generalizes celebrated Choi example of a map which is positive but not completely positive. It is shown how the spectral conditions enable one to construct linear maps on tensor products of matrix algebras which are positive but only on a convex subset of separable elements. Such maps provide basic tools to study quantum entanglement in multipartite systems.

Dariusz Chruscinski; Andrzej Kossakowski

2008-09-29T23:59:59.000Z

238

Mapping Biomass Distribution Potential  

E-Print Network [OSTI]

Mapping Biomass Distribution Potential Michael Schaetzel Undergraduate ? Environmental Studies ? University of Kansas L O C A T S I O N BIOMASS ENERGY POTENTIAL o According to DOE, Biomass has the potential to provide 14% of... the nation’s power o Currently 1% of national power supply o Carbon neutral? combustion of biomass is part of the natural carbon cycle o Improved crop residue management has potential to benefit environment, producers, and economy Biomass Btu...

Schaetzel, Michael

2010-11-18T23:59:59.000Z

239

NREL: PVWatts Site Specific Data Calculator (Version 1)  

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

Site Specific Data Calculator (Version 1) Site Specific Data Calculator (Version 1) PVWattsTM Site Specific Data calculator allows users to select a photovoltaic (PV) system location from a defined list of options. For locations within the United States and its territories, users select a location from a map of 239 options. For international locations, users select a location from a drop-down menu of options. The PVWatts Site Specific Data calculator uses hourly typical meteorological year (TMY) weather data and a PV performance model to estimate annual energy production and cost savings for a crystalline silicon PV system. For locations in the United States and its territories, the PVWatts Version 1 calculator uses NREL TMY data. For other locations, it uses TMY data from the Solar and Wind Energy Resource Assessment

240

Feminism, Maps and GIS  

Science Journals Connector (OSTI)

Until recently, there was not much connection between feminism and cartography or GIS (geographic information science and/or system) but today they are increasingly intertwined. The meaning and purpose of mapping have significantly changed in recent decades due to several reasons. For example, the mapping process has become computerized, virtually all spatial information is now digital, and GIS has emerged as essential when working with spatial data. At the same time, women have increased their visibility and presence in science and technologies. Feminist scholarship, too, has made a profound impact on social science and geography and has come to inform and influence the fields of cartography and GIS. This article discusses the changing relationship of cartography and GIS and presents major feminist critiques of these fields. After examining the undervalued contribution of women to both cartography and GIS, the article focuses on an ongoing engagement of feminism with GIS and practices of mapping. This engagement includes reclaiming the power of vision, creating a range of feminist cartographies, and the broader impacts of geospatial technologies on women's daily lives.

M. Pavlovskaya

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Power Maps in Algebra and  

E-Print Network [OSTI]

Power Maps in Algebra and Topology Kathryn Hess Preface The case of commutative algebras The Hochschild complex of a twisting cochain Power maps on the Hochschild complex Topological relevance Power Maps in Algebra and Topology Kathryn Hess Institute of Geometry, Algebra and Topology Ecole

Thévenaz, Jacques

242

Refining Restriction Enzyme Genome Maps  

Science Journals Connector (OSTI)

A genome map is an ordering of a set of clones according to their believed position on a DNA string. Simple heuristics for genome map assembly based on single restriction enzyme with complete digestion data can lead to inaccuracies and ambiguities. This ... Keywords: constraint query languages, genome mapping, set constraints

Peter Z. Revesz

1998-01-01T23:59:59.000Z

243

ACTUAL WASTE TESTING OF GYCOLATE IMPACTS ON THE SRS TANK FARM  

SciTech Connect (OSTI)

Glycolic acid is being studied as a replacement for formic acid in the Defense Waste Processing Facility (DWPF) feed preparation process. After implementation, the recycle stream from DWPF back to the high-level waste Tank Farm will contain soluble sodium glycolate. Most of the potential impacts of glycolate in the Tank Farm were addressed via a literature review and simulant testing, but several outstanding issues remained. This report documents the actual-waste tests to determine the impacts of glycolate on storage and evaporation of Savannah River Site high-level waste. The objectives of this study are to address the following: ? Determine the extent to which sludge constituents (Pu, U, Fe, etc.) dissolve (the solubility of sludge constituents) in the glycolate-containing 2H-evaporator feed. ? Determine the impact of glycolate on the sorption of fissile (Pu, U, etc.) components onto sodium aluminosilicate solids. The first objective was accomplished through actual-waste testing using Tank 43H and 38H supernatant and Tank 51H sludge at Tank Farm storage conditions. The second objective was accomplished by contacting actual 2H-evaporator scale with the products from the testing for the first objective. There is no anticipated impact of up to 10 g/L of glycolate in DWPF recycle to the Tank Farm on tank waste component solubilities as investigated in this test. Most components were not influenced by glycolate during solubility tests, including major components such as aluminum, sodium, and most salt anions. There was potentially a slight increase in soluble iron with added glycolate, but the soluble iron concentration remained so low (on the order of 10 mg/L) as to not impact the iron to fissile ratio in sludge. Uranium and plutonium appear to have been supersaturated in 2H-evaporator feed solution mixture used for this testing. As a result, there was a reduction of soluble uranium and plutonium as a function of time. The change in soluble uranium concentration was independent of added glycolate concentration. The change in soluble plutonium content was dependent on the added glycolate concentration, with higher levels of glycolate (5 g/L and 10 g/L) appearing to suppress the plutonium solubility. The inclusion of glycolate did not change the dissolution of or sorption onto actual-waste 2H-evaporator pot scale to an extent that will impact Tank Farm storage and concentration. The effects that were noted involved dissolution of components from evaporator scale and precipitation of components onto evaporator scale that were independent of the level of added glycolate.

Martino, C.

2014-05-28T23:59:59.000Z

244

C3Bio.org - Usage: Maps  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Maps Users Currently Online Usage: Maps Overview Maps Users Currently Online...

245

BTRIC - Tools & Calculators - ORNL  

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

Calculators Calculators Attic Radiant Barrier Calculator Low-Slope Roof Calculator for Commercial Buildings (6/05) - estimates annual energy cost savings Moisture Control for Low-Slope Roofing (5/04) - determine if a roof design needs a vapor retarder or if the roofing system can be modified to enhance its tolerance for small leaks Modified Zone Method Roof Savings Calculator (12/12) - for commerical and residential buildings using whole-building energy simulations Solar Reflectance Index (SRI) Calculator (6/06) Steep-Slope Roof Calculator on Residential Buildings (6/05) - estimate annual energy cost savings Whole-Wall R-Value Calculator 2.0 (10/06) ZIP-Code R-Value Recommendation Calculator (1/08) Roofs/Attics Attic Radiant Barrier Fact Sheet (Jan 2011) Cool Roofs Will Revolutionize the Building Industry Fact Sheet

246

Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual  

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

b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per barrel) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 17.06 17.21 18.24 19.43 20.64 22.12 23.76 25.52 27.51 29.67 31.86 34.00 36.05 38.36 40.78 43.29 45.88 48.37 AEO 1995 15.24 17.27 18.23 19.26 20.39 21.59 22.97 24.33 25.79 27.27 28.82 30.38 32.14 33.89 35.85 37.97 40.28 AEO 1996 17.16 17.74 18.59 19.72 20.97 22.34 23.81 25.26 26.72 28.22 29.87 31.51 33.13 34.82 36.61 38.48 40.48

247

Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

a. Coal Prices to Electric Generating Plants, Projected vs. Actual a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47 1.50 AEO 1996 1994 1.32 1.29 1.28 1.27 1.26 1.26 1.25 1.27 1.27 1.27 1.28 1.27 1.28 1.27 1.28 1.26 1.28

248

Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

b. Coal Prices to Electric Generating Plants, Projected vs. Actual" b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.502753725,1.549729719,1.64272351,1.727259934,1.784039735,1.822135762,1.923203642,2.00781457,2.134768212,2.217425497,2.303725166,2.407715232,2.46134106,2.637086093,2.775389073,2.902293046,3.120364238,3.298013245 "AEO 1995",,1.4212343,1.462640338,1.488780998,1.545300242,1.585877053,1.619428341,1.668671498,1.7584219,1.803937198,1.890547504,1.968695652,2.048913043,2.134750403,2.205281804,2.281690821,2.375434783,2.504830918 "AEO 1996",,,1.346101641,1.350594221,1.369020126,1.391737646,1.421340737,1.458772082,1.496497523,1.561369914,1.619940033,1.674758358,1.749420803,1.800709877,1.871110564,1.924495246,2.006850327,2.048938234,2.156821499

249

"Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual"  

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

Total Delivered Transportation Energy Consumption, Projected vs. Actual" Total Delivered Transportation Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",23.62,24.08,24.45,24.72,25.06,25.38,25.74,26.16,26.49,26.85,27.23,27.55,27.91,28.26,28.61,28.92,29.18,29.5 "AEO 1995",,23.26,24.01,24.18,24.69,25.11,25.5,25.86,26.15,26.5,26.88,27.28,27.66,27.99,28.25,28.51,28.72,28.94 "AEO 1996",,,23.89674759,24.08507919,24.47502899,24.84881783,25.25887871,25.65527534,26.040205,26.38586426,26.72540092,27.0748024,27.47158241,27.80837631,28.11616135,28.3992157,28.62907982,28.85912895,29.09081459 "AEO 1997",,,,24.68686867,25.34906006,25.87225533,26.437994,27.03513145,27.52499771,27.96490097,28.45482063,28.92999458,29.38239861,29.84147453,30.26097488,30.59760475,30.85550499,31.10873222,31.31938744

250

"Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual"  

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

Total Delivered Industrial Energy Consumption, Projected vs. Actual" Total Delivered Industrial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",25.43,25.904,26.303,26.659,26.974,27.062,26.755,26.598,26.908,27.228,27.668,28.068,28.348,28.668,29.068,29.398,29.688,30.008 "AEO 1995",,26.164,26.293,26.499,27.044,27.252,26.855,26.578,26.798,27.098,27.458,27.878,28.158,28.448,28.728,29.038,29.298,29.608 "AEO 1996",,,26.54702756,26.62236823,27.31312376,27.47668697,26.90313339,26.47577946,26.67685979,26.928811,27.23795407,27.58448499,27.91057103,28.15050595,28.30145734,28.518,28.73702901,28.93001263,29.15872662 "AEO 1997",,,,26.21291769,26.45981795,26.88483478,26.67847443,26.55107968,26.78246968,27.07367604,27.44749539,27.75711339,28.02446072,28.39156621,28.69999783,28.87316602,29.01207631,29.19475644,29.37683575

251

File:Theoretical vs Actual Data Lesson Plan .pdf | 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 File Edit History Facebook icon Twitter icon » File:Theoretical vs Actual Data Lesson Plan .pdf Jump to: navigation, search File File history File usage Metadata File:Theoretical vs Actual Data Lesson Plan .pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 257 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 09:33, 3 January 2014 Thumbnail for version as of 09:33, 3 January 2014 1,275 × 1,650, 2 pages (257 KB) Foteri (Talk | contribs) Category:Wind for Schools Portal CurriculaCategory:Wind for Schools High School Curricula

252

Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual  

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

a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per barrel in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 16.69 16.43 16.99 17.66 18.28 19.06 19.89 20.72 21.65 22.61 23.51 24.29 24.90 25.60 26.30 27.00 27.64 28.16 AEO 1995 1993 14.90 16.41 16.90 17.45 18.00 18.53 19.13 19.65 20.16 20.63 21.08 21.50 21.98 22.44 22.94 23.50 24.12 AEO 1996 1994 16.81 16.98 17.37 17.98 18.61 19.27 19.92 20.47 20.97 21.41 21.86 22.25 22.61 22.97 23.34 23.70 24.08

253

Laboratory Demonstration of the Pretreatment Process with Caustic and Oxidative Leaching Using Actual Hanford Tank Waste  

SciTech Connect (OSTI)

This report describes the bench-scale pretreatment processing of actual tank waste materials through the entire baseline WTP pretreatment flowsheet in an effort to demonstrate the efficacy of the defined leaching processes on actual Hanford tank waste sludge and the potential impacts on downstream pretreatment processing. The test material was a combination of reduction oxidation (REDOX) tank waste composited materials containing aluminum primarily in the form of boehmite and dissolved S saltcake containing Cr(III)-rich entrained solids. The pretreatment processing steps tested included • caustic leaching for Al removal • solids crossflow filtration through the cell unit filter (CUF) • stepwise solids washing using decreasing concentrations of sodium hydroxide with filtration through the CUF • oxidative leaching using sodium permanganate for removing Cr • solids filtration with the CUF • follow-on solids washing and filtration through the CUF • ion exchange processing for Cs removal • evaporation processing of waste stream recycle for volume reduction • combination of the evaporated product with dissolved saltcake. The effectiveness of each process step was evaluated by following the mass balance of key components (such as Al, B, Cd, Cr, Pu, Ni, Mn, and Fe), demonstrating component (Al, Cr, Cs) removal, demonstrating filterability by evaluating filter flux rates under various processing conditions (transmembrane pressure, crossflow velocities, wt% undissolved solids, and PSD) and filter fouling, and identifying potential issues for WTP. The filterability was reported separately (Shimskey et al. 2008) and is not repeated herein.

Fiskum, Sandra K.; Billing, Justin M.; Buck, Edgar C.; Daniel, Richard C.; Draper, Kathryn E.; Edwards, Matthew K.; Jenson, Evan D.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Shimskey, Rick W.; Snow, Lanee A.

2009-01-01T23:59:59.000Z

254

PERFORMANCE TESTING OF THE NEXT-GENERATION CSSX SOLVENT WITH ACTUAL SRS TANK WASTE  

SciTech Connect (OSTI)

Efforts are underway to qualify the Next-Generation Solvent for the Caustic Side Solvent Extraction (CSSX) process. Researchers at multiple national laboratories have been involved in this effort. As part of the effort to qualify the solvent extraction system at the Savannah River Site (SRS), SRNL performed a number of tests at various scales. First, SRNL completed a series of batch equilibrium, or Extraction-Scrub-Strip (ESS), tests. These tests used {approx}30 mL of Next-Generation Solvent and either actual SRS tank waste, or waste simulant solutions. The results from these cesium mass transfer tests were used to predict solvent behavior under a number of conditions. At a larger scale, SRNL assembled 12 stages of 2-cm (diameter) centrifugal contactors. This rack of contactors is structurally similar to one tested in 2001 during the demonstration of the baseline CSSX process. Assembly and mechanical testing found no issues. SRNL performed a nonradiological test using 35 L of cesium-spiked caustic waste simulant and 39 L of actual tank waste. Test results are discussed; particularly those related to the effectiveness of extraction.

Pierce, R.; Peters, T.; Crowder, M.; Fink, S.

2011-11-01T23:59:59.000Z

255

"Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual"  

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

Total Delivered Commercial Energy Consumption, Projected vs. Actual" Total Delivered Commercial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",6.82,6.87,6.94,7,7.06,7.13,7.16,7.22,7.27,7.32,7.36,7.38,7.41,7.45,7.47,7.5,7.51,7.55 "AEO 1995",,6.94,6.9,6.95,6.99,7.02,7.05,7.08,7.09,7.11,7.13,7.15,7.17,7.19,7.22,7.26,7.3,7.34 "AEO 1996",,,7.059859276,7.17492485,7.228339195,7.28186655,7.336973667,7.387932777,7.442782879,7.501244545,7.561584473,7.623688221,7.684037209,7.749266148,7.815915108,7.884147644,7.950204372,8.016282082,8.085801125 "AEO 1997",,,,7.401538849,7.353548527,7.420701504,7.48336792,7.540113449,7.603093624,7.663851738,7.723834991,7.783358574,7.838726044,7.89124918,7.947964668,8.008976936,8.067288399,8.130317688,8.197405815

256

ENRAF gauge reference level calculations  

SciTech Connect (OSTI)

This document describes the method for calculating reference levels for Enraf Series 854 Level Detectors as installed in the tank farms. The reference level calculation for each installed level gauge is contained herein.

Huber, J.H., Fluor Daniel Hanford

1997-02-06T23:59:59.000Z

257

Naming chemical compounds: Calculator drill  

Science Journals Connector (OSTI)

36. Bits and pieces, 13. A calculator can be programmed to drill students on chemical compound naming rules.

David Holdsworth; Evelyn Lacanienta

1983-01-01T23:59:59.000Z

258

EERE: Weatherization and Intergovernmental Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Site Map to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Site Map on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Site Map on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Google Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Delicious Rank EERE: Weatherization and Intergovernmental Program - Site Map on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Site Map on AddThis.com... Site Map About Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

259

Method of calculation of heat generation rates for DWPF glass  

SciTech Connect (OSTI)

The Waste Acceptance Preliminary Specifications (WAPS) require estimates of the heat generation rate of DWPF waste glasses. Estimates of the heat generation rates of projected glass compositions are to be reported in the Waste Form Qualification Report. Similar estimates for actual production glasses are to be reported in the Production Records. In this report, a method of calculating the heat generation rate from the radionuclide inventory is provided. Application of the method to the DWPF Design-Basis glass indicates that the heat generation rate can be accurately estimated from the Sr-90, Y-90, Cs-137, Ba-137m, and Pu-238 contents alone.

Plodinec, M.J.

1992-03-17T23:59:59.000Z

260

Method of calculation of heat generation rates for DWPF glass  

SciTech Connect (OSTI)

The Waste Acceptance Preliminary Specifications (WAPS) require estimates of the heat generation rate of DWPF waste glasses. Estimates of the heat generation rates of projected glass compositions are to be reported in the Waste Form Qualification Report. Similar estimates for actual production glasses are to be reported in the Production Records. In this report, a method of calculating the heat generation rate from the radionuclide inventory is provided. Application of the method to the DWPF Design-Basis glass indicates that the heat generation rate can be accurately estimated from the Sr-90, Y-90, Cs-137, Ba-137m, and Pu-238 contents alone.

Plodinec, M.J.

1993-02-04T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

2050 Calculator | Open Energy Information  

Open Energy Info (EERE)

0 Calculator 0 Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: 2050 Calculator Agency/Company /Organization: United Kingdom Department of Energy and Climate Change (DECC) Sector: Climate, Energy Focus Area: Renewable Energy, Non-renewable Energy, Biomass, Buildings - Commercial, Buildings - Residential, Economic Development, Geothermal, Greenhouse Gas, Multi-model Integration, Multi-sector Impact Evaluation, Solar, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Analysis Tools, Pathways analysis Resource Type: Online calculator User Interface: Spreadsheet, Website Complexity/Ease of Use: Not Available Website: www.gov.uk/2050-pathways-analysis Country: United Kingdom Web Application Link: 2050-calculator-tool.decc.gov.uk/pathways/1111111111111111111111111111

262

Defect mapping system  

DOE Patents [OSTI]

Apparatus for detecting and mapping defects in the surfaces of polycrystalline materials in a manner that distinguishes dislocation pits from grain boundaries includes a laser for illuminating a wide spot on the surface of the material, a light integrating sphere with apertures for capturing light scattered by etched dislocation pits in an intermediate range away from specular reflection while allowing light scattered by etched grain boundaries in a near range from specular reflection to pass through, and optical detection devices for detecting and measuring intensities of the respective intermediate scattered light and near specular scattered light. A center blocking aperture or filter can be used to screen out specular reflected light, which would be reflected by nondefect portions of the polycrystalline material surface. An X-Y translation stage for mounting the polycrystalline material and signal processing and computer equipment accommodate rastor mapping, recording, and displaying of respective dislocation and grain boundary defect densities. A special etch procedure is included, which prepares the polycrystalline material surface to produce distinguishable intermediate and near specular light scattering in patterns that have statistical relevance to the dislocation and grain boundary defect densities. 20 figures.

Sopori, B.L.

1995-04-11T23:59:59.000Z

263

Predicted and actual productions of horizontal wells in heavy-oil fields  

Science Journals Connector (OSTI)

This paper discusses the comparison of predicted and actual cumulative and daily oil production. The predicted results were obtained from the use of Joshi's equation, wherein, the effects of anisotropy and eccentricity were included. The cumulative production obtained from the use of equations developed by Borisov, Giger, Renard and Dupuy resulted in errors in excess of 100%, thus, they were not considered applicable for predicting cumulative and daily flows of heavy oils in horizontal wells. The wells considered in this analysis varied from 537 to 1201 metres with corresponding well bores of 0.089 to. 0.110 m. Using Joshi's equation, the predicted cumulative oil-production was within a 20% difference for up to 12 months of production for long wells and up to 24 months for short wells. Short wells were defined as those being under 1000 m.

Peter Catania

2000-01-01T23:59:59.000Z

264

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Hydrogen Maps  

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

Hydrogen Maps Below are some examples of how geographic information system (GIS) modeling is used in hydrogen infrastructure, demand, market and resource analyses. The JPG images...

265

NERSC Calculations Provide Independent Confirmation of Global Land Warming  

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

Calculations Calculations Provide Independent Confirmation of Global Land Warming Since 1901 NERSC Calculations Provide Independent Confirmation of Global Land Warming Since 1901 September 9, 2013 | Tags: Climate Research, Hopper Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 campo.jpg These maps show the changes in air temperatures over land as measured using thermometers (left side) and as calculated by the 20th Century Reanalysis project (left side). While more than 80 percent of the observed variation is captured by the computer model, the results show interesting differences in some regions such as the midwestern United States, Argentina and eastern Brazil. The differences may be due previously unrecognized issues with the pressure observations, variations in land use and land cover over time,

266

Submitted to ApJ Letters, June 29, 2005 Are Presolar Silicon Carbide Grains from Novae Actually from Supernovae?  

E-Print Network [OSTI]

Submitted to ApJ Letters, June 29, 2005 Are Presolar Silicon Carbide Grains from Novae Actually stellar nucleosynthesis and mixing. The best-studied presolar phase, silicon carbide (SiC), exhibits

Nittler, Larry R.

267

Energy Conservation and Comfort of Heat Pump Desiccant Air Conditioning System in Actual Living Space in Summer  

E-Print Network [OSTI]

Energy Conservation and Comfort of Heat Pump Desiccant Air Conditioning System in Actual Living and total heat exchanger in terms of both energy conservation and thermal comfort in summer. 1. COP

Miyashita, Yasushi

268

A Look Inside the Cash Flow Opportunity Calculator: Calculations and  

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

A Look Inside the Cash Flow Opportunity Calculator: Calculations A Look Inside the Cash Flow Opportunity Calculator: Calculations and Methodology Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

269

Wave maps on a wormhole  

E-Print Network [OSTI]

We consider equivariant wave maps from a wormhole spacetime into the three-sphere. This toy-model is designed for gaining insight into the dissipation-by-dispersion phenomena, in particular the soliton resolution conjecture. We first prove that for each topological degree of the map there exists a unique static solution (harmonic map) which is linearly stable. Then, using the hyperboloidal formulation of the initial value problem, we give numerical evidence that every solution starting from smooth initial data of any topological degree evolves asymptotically to the harmonic map of the same degree. The late-time asymptotics of this relaxation process is described in detail.

Piotr Bizo?; Micha? Kahl

2014-12-17T23:59:59.000Z

270

Arizona Map for Commercial Buildings  

Gasoline and Diesel Fuel Update (EIA)

styleseiasitewideF.css" rel"stylesheet" type"textcss" > Home > Households, Buildings & Industry > Background Information on CBECS > 2003 CBECS climate zone map corrections...

271

Fault Mapping | Open Energy Information  

Open Energy Info (EERE)

form form View 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 with form History Facebook icon Twitter icon » Fault Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Fault Mapping Details Activities (2) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Stratigraphic/Structural: Locates active faults in the area of interest Hydrological: Can reveal whether faults are circulating hydrothermal fluids Thermal: Dictionary.png

272

map_legend  

Gasoline and Diesel Fuel Update (EIA)

c c Natural Gas Market Hub a Surface Congressional District (113th) Underground b Coal Mines U.S. States Map Legend County Boundary Power Plants K A B C E 0 G L H I J Biomass Coal Geothermal Market Hubs Transmission and Pipelines Hydro Natural Gas Other Fossil Gases Petroleum Pumped Storage Solar Wind Wood Petroleum Import Site f Northeast Home Heating Oil Reserve Site 4 j Petroleum Refinery h DOT NPMS Gas Transmission Pipeline Due to security constraints, only a single county's pipelines can be shown at a time for this layer. The natural gas interstate, intrastate, and gathering pipelines layer (see below) can be viewed across larger geographic areas, but is not as accurate or complete. DOT NPMS Hazardous Liquid Pipeline Hazardous liquids include crude oil, product, liquid petroleum gas, natural gas liquid, hydrogen gas,

273

SRS - Website Map  

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

1/2011 1/2011 SEARCH GO menu spacer SRS Home Savannah River Site Website Map About SRS Mission & Vision Where We Are SRS History Fact Sheets Tour SRS Contact SRS SRS Organizations Savannah River Nuclear Solutions, LLC (SRNS) Savannah River Remediation LLC (SRR) Savannah River Ecology Laboratory (SREL) USDA Forest Service - Savannah River Wackenhut Services, Inc. Mixed Oxide Fuel Fabrication Facility (MOX) Parsons Related Links & Resources Department of Energy (DOE) Department of Energy - Environmental Management (DOE-EM) National Nuclear Security Administration (NNSA) American Recovery & Reinvestment Act (ARRA) News News Releases Video Releases Fact Sheets Photo Gallery Speakers Media Contacts Business Opportunities Community Reuse Organization Technology Transfer Savannah River National Laboratory (SRNL)

274

Report Title: Mapping  

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

Title: Title: Mapping of Reservoir Properties and Facies Through Integration of Static and Dynamic Data Report Type: Final Technical Report Reporting Period Start Date: October 1, 2000 Reporting Period End Date: September 30, 2004 Principal Authors: Albert C. Reynolds, Dean S. Oliver, Yannong Dong, Ning Liu, Guohua Gao, Fengjun Zhang & Ruijian Li Date Report Issued: December 2004 DOE Award Number: DE-FC26-00BC15309 Petroleum Engineering Department The University of Tulsa 600 South College Avenue Tulsa, Oklahoma 74104 This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product,

275

Global nuclear-structure calculations  

SciTech Connect (OSTI)

The revival of interest in nuclear ground-state octupole deformations that occurred in the 1980's was stimulated by observations in 1980 of particularly large deviations between calculated and experimental masses in the Ra region, in a global calculation of nuclear ground-state masses. By minimizing the total potential energy with respect to octupole shape degrees of freedom in addition to {epsilon}{sub 2} and {epsilon}{sub 4} used originally, a vastly improved agreement between calculated and experimental masses was obtained. To study the global behavior and interrelationships between other nuclear properties, we calculate nuclear ground-state masses, spins, pairing gaps and {Beta}-decay and half-lives and compare the results to experimental qualities. The calculations are based on the macroscopic-microscopic approach, with the microscopic contributions calculated in a folded-Yukawa single-particle potential.

Moeller, P.; Nix, J.R.

1990-04-20T23:59:59.000Z

276

Maestro: Replica-Aware Map Scheduling for MapReduce  

Science Journals Connector (OSTI)

MapReduce has emerged as a leading programming model for data-intensive computing. Many recent research efforts have focused on improving the performance of the distributed frameworks supporting this model. Many optimizations are network-oriented and ... Keywords: MapReduce, Hadoop, cloud computing, replication, scheduling

Shadi Ibrahim; Hai Jin; Lu Lu; Bingsheng He; Gabriel Antoniu; Song Wu

2012-05-01T23:59:59.000Z

277

Wavelets in electronic structure calculations  

Science Journals Connector (OSTI)

A three-dimensional wavelet analysis is employed to develop a new formalism for electronic structure calculations. The wavelet formalism provides a systematically improvable and tractable description of electronic wave functions and overcomes limitations of conventional basis expansions. The potential power of the wavelet formalism for ab initio electronic structure calculations is demonstrated by a calculation of 1s states for all the naturally occurring nuclei on the periodic table and the interaction energies of the hydrogen molecule ion.

K. Cho, T. A. Arias, J. D. Joannopoulos, and Pui K. Lam

1993-09-20T23:59:59.000Z

278

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Maps  

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

Biomass Maps Biomass Maps These maps illustrate the biomass resources available in the United States by county. Biomass feedstock data are analyzed both statistically and graphically using a geographic information system (GIS). The following feedstock categories are evaluated: crop residues, forest residues, primary and secondary mill residues, urban wood waste, and methane emissions from manure management, landfills, and domestic wastewater treatment. Biomass Resources in the United States Map of Total Biomass Resources in the United States Total Resources by County Total Biomass per Square Kilometer These maps estimate the biomass resources currently available in the United States by county. They include the following feedstock categories: crop residues (5 year average: 2003-2007) forest and primary mill residues

279

BENCH-SCALE STEAM REFORMING OF ACTUAL TANK 48H WASTE  

SciTech Connect (OSTI)

Fluidized Bed Steam Reforming (FBSR) has been demonstrated to be a viable technology to remove >99% of the organics from Tank 48H simulant, to remove >99% of the nitrate/nitrite from Tank 48H simulant, and to form a solid product that is primarily carbonate based. The technology was demonstrated in October of 2006 in the Engineering Scale Test Demonstration Fluidized Bed Steam Reformer1 (ESTD FBSR) at the Hazen Research Inc. (HRI) facility in Golden, CO. The purpose of the Bench-scale Steam Reformer (BSR) testing was to demonstrate that the same reactions occur and the same product is formed when steam reforming actual radioactive Tank 48H waste. The approach used in the current study was to test the BSR with the same Tank 48H simulant and same Erwin coal as was used at the ESTD FBSR under the same operating conditions. This comparison would allow verification that the same chemical reactions occur in both the BSR and ESTD FBSR. Then, actual radioactive Tank 48H material would be steam reformed in the BSR to verify that the actual tank 48H sample reacts the same way chemically as the simulant Tank 48H material. The conclusions from the BSR study and comparison to the ESTD FBSR are the following: (1) A Bench-scale Steam Reforming (BSR) unit was successfully designed and built that: (a) Emulated the chemistry of the ESTD FBSR Denitration Mineralization Reformer (DMR) and Carbon Reduction Reformer (CRR) known collectively as the dual reformer flowsheet. (b) Measured and controlled the off-gas stream. (c) Processed real (radioactive) Tank 48H waste. (d) Met the standards and specifications for radiological testing in the Savannah River National Laboratory (SRNL) Shielded Cells Facility (SCF). (2) Three runs with radioactive Tank 48H material were performed. (3) The Tetraphenylborate (TPB) was destroyed to > 99% for all radioactive Bench-scale tests. (4) The feed nitrate/nitrite was destroyed to >99% for all radioactive BSR tests the same as the ESTD FBSR. (5) The radioactive Tank 48H DMR product was primarily made up of soluble carbonates. The three most abundant species were thermonatrite, [Na{sub 2}CO{sub 3} {center_dot} H{sub 2}O], sodium carbonate, [Na{sub 2}CO{sub 3}], and trona, [Na{sub 3}H(CO{sub 3}){sub 2} {center_dot} 2H{sub 2}O] the same as the ESTD FBSR. (6) Insoluble solids analyzed by X-Ray Diffraction (XRD) did not detect insoluble carbonate species. However, they still may be present at levels below 2 wt%, the sensitivity of the XRD methodology. Insoluble solids XRD characterization indicated that various Fe/Ni/Cr/Mn phases are present. These crystalline phases are associated with the insoluble sludge components of Tank 48H slurry and impurities in the Erwin coal ash. The percent insoluble solids, which mainly consist of un-burnt coal and coal ash, in the products were 4 to 11 wt% for the radioactive runs. (7) The Fe{sup +2}/Fe{sub total} REDOX measurements ranged from 0.58 to 1 for the three radioactive Bench-scale tests. REDOX measurements > 0.5 showed a reducing atmosphere was maintained in the DMR indicating that pyrolysis was occurring. (8) Greater than 90% of the radioactivity was captured in the product for all three runs. (9) The collective results from the FBSR simulant tests and the BSR simulant tests indicate that the same chemistry occurs in the two reactors. (10) The collective results from the BSR simulant runs and the BSR radioactive waste runs indicates that the same chemistry occurs in the simulant as in the real waste. The FBSR technology has been proven to destroy the organics and nitrates in the Tank 48H waste and form the anticipated solid carbonate phases as expected.

Burket, P; Gene Daniel, G; Charles Nash, C; Carol Jantzen, C; Michael Williams, M

2008-09-25T23:59:59.000Z

280

Central American geologic map project  

SciTech Connect (OSTI)

During the Northeast Quadrant Panel meeting of the Circum-Pacific Map Project held in Mexico City, February 1985, Central American panel members proposed and adopted plans for compiling a geologic map of Central America, probably at a scale of 1:500,000. A local group with participants from each country was organized and coordinated by Rolando Castillo, director, Central American School of Geology, University of Costa Rica, for the geologic aspects, and Fernando Rudin, director, Geographic Institute of Costa Rica, for the topographic base. In 1956, the US Geological Survey published a geologic map of the region at a scale of 1:1 million. Subsequent topographic and geologic mapping projects have provided a large amount of new data. The entire area is now covered by topographic maps at a scale of 1:50,000, and these maps have been used in several countries as a base for geologic mapping. Another regional map, the Metallogenic Map of Central America (scale = 1:2 million), was published in 1969 by the Central American Research Institute for Industry (ICAITI) with a generalized but updated geologic base map. Between 1969 and 1980, maps for each country were published by local institutions: Guatemala-Belize at 1:500,000, Honduras at 1:500,000, El Salvador at 1:100,000, Nicaragua at 1:1 million, Costa Rica at 1:200,000, and Panama at 1:1 million. This information, in addition to that of newly mapped areas, served as the base for the Central American part of the Geologic-Tectonic Map of the Caribbean Region (scale = 1:2.5 million), published by the US Geological Survey in 1980, and also fro the Northeast Quadrant Maps of the Circum-Pacific Region. The new project also involves bathymetric and geologic mapping of the Pacific and Caribbean margins of the Central American Isthmus. A substantial amount of new information of the Middle America Trench has been acquired through DSDP Legs 67 and 84.

Dengo, G.

1986-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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.


281

Link maps and map meetings: Scaffolding student learning  

Science Journals Connector (OSTI)

With student numbers decreasing and traditional teaching methods having been found inefficient, it is widely accepted that alternative teaching methods need to be explored in tertiary physics education. In 2006 a different teaching environment was offered to 244 first year students with little or no prior formal instruction in physics. Students were invited to attend additional enrichment classes 1 h a week called map meetings. The focus of these classes was a different type of visual presentation of physics material called link maps. Link maps explicitly show the key concepts covered in lectures and how these interrelate to help novices establish their physics schemata. In each map meeting the link map for the different topic was interactively discussed by the researcher before the students worked on problems in groups using the link map. The class ended with the researcher going through one problem, talking aloud about how to logically attack it. The results were promising. Each week about 20% of the class voluntarily attended map meetings whereas 22% reported that they did not attend due to timetable clashes. Two questionnaires revealed that students thought the classes were helpful for gaining an overview of physics and for developing their problem solving abilities. In the final examination the 32 students who had attended at least eight out of ten map meetings achieved, on average, 9 points out of 90 better in the examination (p=0.004) than a comparison group (N=40) with similar academic background which had not attended map meetings. The results of this study suggest that map meetings are a valuable learning environment for physics novices. Further investigations are currently being undertaken.

Christine Lindstrřm and Manjula D. Sharma

2009-01-22T23:59:59.000Z

282

Table 12. Coal Prices to Electric Generating Plants, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Coal Prices to Electric Generating Plants, Projected vs. Actual Coal Prices to Electric Generating Plants, Projected vs. Actual (nominal dollars per million Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 2.03 2.17 2.33 2.52 2.73 2.99 AEO 1983 1.99 2.10 2.24 2.39 2.57 2.76 4.29 AEO 1984 1.90 2.01 2.13 2.28 2.44 2.61 3.79 AEO 1985 1.68 1.76 1.86 1.95 2.05 2.19 2.32 2.49 2.66 2.83 3.03 AEO 1986 1.61 1.68 1.75 1.83 1.93 2.05 2.19 2.35 2.54 2.73 2.92 3.10 3.31 3.49 3.68 AEO 1987 1.52 1.55 1.65 1.75 1.84 1.96 2.11 2.27 2.44 3.55 AEO 1989* 1.50 1.51 1.68 1.77 1.88 2.00 2.13 2.26 2.40 2.55 2.70 2.86 3.00 AEO 1990 1.46 1.53 2.07 2.76 3.7 AEO 1991 1.51 1.58 1.66 1.77 1.88 1.96 2.06 2.16 2.28 2.41 2.57 2.70 2.85 3.04 3.26 3.46 3.65 3.87 4.08 4.33 AEO 1992 1.54 1.61 1.66 1.75 1.85 1.97 2.03 2.14 2.26 2.44 2.55 2.69 2.83 3.00 3.20 3.40 3.58 3.78 4.01 AEO 1993 1.92 1.54 1.61 1.70

283

C*-algebras associated with reversible extensions of logistic maps  

SciTech Connect (OSTI)

The construction of reversible extensions of dynamical systems presented in a previous paper by the author and A.V. Lebedev is enhanced, so that it applies to arbitrary mappings (not necessarily with open range). It is based on calculating the maximal ideal space of C*-algebras that extends endomorphisms to partial automorphisms via partial isometric representations, and involves a new set of 'parameters' (the role of parameters is played by chosen sets or ideals). As model examples, we give a thorough description of reversible extensions of logistic maps and a classification of systems associated with compression of unitaries generating homeomorphisms of the circle. Bibliography: 34 titles.

Kwasniewski, Bartosz K [Institute of Mathematics, University of Bialystok (Poland)

2012-10-31T23:59:59.000Z

284

GIS Mapping Technician Prince George  

E-Print Network [OSTI]

GIS Mapping Technician Prince George Salary $48,942.48 - $55,662.83 annually An excellent opportunity to apply your GIS mapping expertise BCTS was established in 2003 to offer fibre to the market Northern GIS Service Centre, a collaborative model where GIS resources are shared between four Business

Northern British Columbia, University of

285

Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado  

SciTech Connect (OSTI)

To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In NREL's report titled 'Assessing and Improving the Accuracy of Energy Analysis of Residential Buildings,' researchers propose a method for improving the accuracy of residential energy analysis methods. A key step in this process involves the comparisons of predicted versus metered energy use and savings. In support of this research need, CARB evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. In this study, CARB seeks to improve the accuracy of modeling software while assessing retrofit measures to specifically determine which are most effective for large multifamily complexes in the cold climate region. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

Arena, L.; Williamson, J.

2013-11-01T23:59:59.000Z

286

Adaptive Composite Map Projections Bernhard Jenny  

E-Print Network [OSTI]

Adaptive Composite Map Projections Bernhard Jenny Abstract--All major web mapping services use.The proposed composite map projection combines several projections that are recommended in cartographic.The composite projection adapts the maps geometry to scale, to the maps height-to-width ratio

Jenny, Bernhard

287

Autodesk MapGuide Working with Resources  

E-Print Network [OSTI]

Autodesk MapGuide® Enterprise Working with Resources Autodesk MapGuide® Enterprise software has and the resource service API in Autodesk MapGuide Enterprise. The information in this paper is applicable to both the MapGuide Open Source and Autodesk MapGuide Enterprise versions of the platform. #12;AUTODESK MAPGUIDE

Ahmad, Sajjad

288

Linear efficient antialiased displacement and reflectance mapping  

Science Journals Connector (OSTI)

We present Linear Efficient Antialiased Displacement and Reflectance (LEADR) mapping, a reflectance filtering technique for displacement mapped surfaces. Similarly to LEAN mapping, it employs two mipmapped texture maps, which store the first two moments ... Keywords: BRDF, GPU, LEAN mapping, filtering, microfacet

Jonathan Dupuy; Eric Heitz; Jean-Claude Iehl; Pierre Poulin; Fabrice Neyret; Victor Ostromoukhov

2013-11-01T23:59:59.000Z

289

A stochastic approach to estimate the uncertainty of dose mapping caused by uncertainties in b-spline registration  

SciTech Connect (OSTI)

Purpose: In fractionated radiation therapy, image guidance with daily tomographic imaging becomes more and more clinical routine. In principle, this allows for daily computation of the delivered dose and for accumulation of these daily dose distributions to determine the actually delivered total dose to the patient. However, uncertainties in the mapping of the images can translate into errors of the accumulated total dose, depending on the dose gradient. In this work, an approach to estimate the uncertainty of mapping between medical images is proposed that identifies areas bearing a significant risk of inaccurate dose accumulation. Methods: This method accounts for the geometric uncertainty of image registration and the heterogeneity of the dose distribution, which is to be mapped. Its performance is demonstrated in context of dose mapping based on b-spline registration. It is based on evaluation of the sensitivity of dose mapping to variations of the b-spline coefficients combined with evaluation of the sensitivity of the registration metric with respect to the variations of the coefficients. It was evaluated based on patient data that was deformed based on a breathing model, where the ground truth of the deformation, and hence the actual true dose mapping error, is known. Results: The proposed approach has the potential to distinguish areas of the image where dose mapping is likely to be accurate from other areas of the same image, where a larger uncertainty must be expected. Conclusions: An approach to identify areas where dose mapping is likely to be inaccurate was developed and implemented. This method was tested for dose mapping, but it may be applied in context of other mapping tasks as well.

Hub, Martina; Thieke, Christian; Kessler, Marc L.; Karger, Christian P. [Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg (Germany); Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany and Department of Radiation Oncology, University Clinic Heidelberg, 69120 Heidelberg (Germany); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109 (United States); Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg (Germany)

2012-04-15T23:59:59.000Z

290

The effects of mapping CT images to Monte Carlo materials on GEANT4 proton simulation accuracy  

SciTech Connect (OSTI)

Purpose: Monte Carlo simulations of radiation therapy require conversion from Hounsfield units (HU) in CT images to an exact tissue composition and density. The number of discrete densities (or density bins) used in this mapping affects the simulation accuracy, execution time, and memory usage in GEANT4 and other Monte Carlo code. The relationship between the number of density bins and CT noise was examined in general for all simulations that use HU conversion to density. Additionally, the effect of this on simulation accuracy was examined for proton radiation. Methods: Relative uncertainty from CT noise was compared with uncertainty from density binning to determine an upper limit on the number of density bins required in the presence of CT noise. Error propagation analysis was also performed on continuously slowing down approximation range calculations to determine the proton range uncertainty caused by density binning. These results were verified with Monte Carlo simulations. Results: In the presence of even modest CT noise (5 HU or 0.5%) 450 density bins were found to only cause a 5% increase in the density uncertainty (i.e., 95% of density uncertainty from CT noise, 5% from binning). Larger numbers of density bins are not required as CT noise will prevent increased density accuracy; this applies across all types of Monte Carlo simulations. Examining uncertainty in proton range, only 127 density bins are required for a proton range error of <0.1 mm in most tissue and <0.5 mm in low density tissue (e.g., lung). Conclusions: By considering CT noise and actual range uncertainty, the number of required density bins can be restricted to a very modest 127 depending on the application. Reducing the number of density bins provides large memory and execution time savings in GEANT4 and other Monte Carlo packages.

Barnes, Samuel; McAuley, Grant; Slater, James [Department of Radiation Medicine, Loma Linda University, Loma Linda, California 92350 (United States); Wroe, Andrew [Department of Radiation Medicine, Loma Linda University Medical Center, Loma Linda, California 92350 (United States)

2013-04-15T23:59:59.000Z

291

Calculation  

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 are sizable. The same approach can be used in other appli-...

292

Large scale electronic structure calculations  

Science Journals Connector (OSTI)

We formulate the Kohn-Sham density functional theory in terms of nonorthogonal, localized orbitals. Within this formulation we introduce a simple and effective method to localize the orbitals. Our approach leads to a plane-wave-based algorithm for total energy calculations whose computational complexity is of O(N), where N is the number of electrons. This opens the way to calculations of unprecedented scale. Our method appears to be of general character and applicable in other contexts such as quantum chemical or projected quantum Monte Carlo calculations.

Giulia Galli and Michele Parrinello

1992-12-14T23:59:59.000Z

293

Mapping (USPTO) Patent Data using Overlays to Google Maps  

E-Print Network [OSTI]

The paper describes a technique to use patent information available online (at the US Patent and Trademark Office) for the generation of Google Maps that indicate both the quantity and quality of patents granted at the city level. The resulting maps are relevant for technological innovation policies and R&D management because the US market can be considered as the leading market for patenting and patent competition. Quantitative data is made available by the mapping routines for more detailed statistical analysis, and the non-parametric statistics for significance testing are specified. The new mapping approach is explored for the cases of the emerging technologies of "RNA interference" and "nanotechnology" as specific examples. Perspectives for further developments of this technique (other databases and network analysis of co-inventions) are specified.

Leydesdorff, Loet

2011-01-01T23:59:59.000Z

294

Hydrogen Threshold Cost Calculation | Department of Energy  

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

Hydrogen Threshold Cost Calculation Hydrogen Threshold Cost Calculation DOE Hydrogen Program Record number11007, Hydrogen Threshold Cost Calculation, documents the methodology and...

295

SB EE Calculator | Argonne National Laboratory  

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

Calculator Energy Efficiency Decision Support Calculator Argonne's Energy Efficiency Decision Support Calculator is a simple tool that small business owners can use to quickly...

296

MAPS BETWEEN CLASSIFYING SPACES AND APPLICATIONS by  

E-Print Network [OSTI]

MAPS BETWEEN CLASSIFYING SPACES AND APPLICATIONS space map(BG, BH) can be reduced to the case of simply connected Lie groups. Th* *is reduc- tion method allows some applications. For example a homotopy classificatio* *n of self maps BG

Notbohm, Dietrich

297

Template:MapOverlay | Open Energy Information  

Open Energy Info (EERE)

MapOverlay Jump to: navigation, search Usage This template includes a "hidden" div containing a map displaying the set coordinates along with a Hide Map button. This is used to...

298

GIS Techniques for Mapping Groundwater Contamination Risk  

Science Journals Connector (OSTI)

The groundwater contamination risk map of a samplealluvial area was produced by using the IlwisGeographical Information System (GIS) to construct andto overlay thematic maps. The risk map has beenderived from the...

Daniela Ducci

1999-11-01T23:59:59.000Z

299

Denver Basin Map | Open Energy Information  

Open Energy Info (EERE)

Map Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Denver Basin Map Abstract This webpage contains a map of the Denver Basin. Published Colorado...

300

A first global and spatially explicit emergy database of rivers and streams based on high-resolution GIS-maps  

Science Journals Connector (OSTI)

Abstract In emergy evaluation (EME), water is often identified as the main renewable resource input of a natural or human system. Water flows in EME have been generally examined with a global perspective, i.e. without considering topographical and climatic differences at regional or local scales. Hence, spatial differentiation in water flows characterization is essential to improve the quality of EME results. This paper introduces the first global, spatially explicit emergy dataset of freshwater flows, developed following the rationale found in prior \\{EMEs\\} of rivers. The unit emergy value (UEV) of a stream was calculated as the highest value between rain chemical potential emergy and rain geopotential emergy over the stream's catchment area, divided by the stream flow rate. This approach was applied with a high resolution and a global coverage, using Geographic Information System (GIS) software and, notably, world maps of precipitation, evapotranspiration and elevation, to estimate accumulation patterns of rainfall emergy value and flow rates. Preliminary results are compared with available data on river's \\{UEVs\\} retrieved from previous studies and with the actual stream flow of major rivers in the world and in France. While flow rates modeled in the database show important differences as compared to actual data, the comparison of the modeled emergy value of rivers with prior studies was made difficult by the heterogeneity in calculation details observed previously. Therefore, it is highly recommended for the emergy community to foster the use and improvement of such high-resolution, spatially explicit dataset instead of using regional or global UEV averages, which should only be used when reliable local values are not available. Hence, territorial averages were computed in order to characterize background processes in the hybrid lifecycle-emergy accounting framework, as this approach can complement and enrich the conventional EME with the inclusion of detailed information on supply chain processes. To this aim, data were aggregated over major watersheds and administrative regions, and weighted with a proxy for urban surface water consumption. The next steps identified to enhance our prospective work include: (1) the characterization of water reservoirs (glaciers, lakes, groundwater, soil moisture), (2) the improvement of runoff modeling and stream flows, (3) the spatial assessment of atmospheric processes to refine transformities of rain (chemical potential and geopotential), and (4) the inclusion of additional elements such as sediments, minerals and particulate matter as a flow of emergy in rivers.

Damien Arbault; Benedetto Rugani; Ligia Tiruta-Barna; Enrico Benetto

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

MAPPING CLIMATE CHANGE EXPOSURES, VULNERABILITIES,  

E-Print Network [OSTI]

MAPPING CLIMATE CHANGE EXPOSURES, VULNERABILITIES, AND ADAPTATION TO PUBLIC HEALTH RISKS's California Climate Change Center JULY 2012 CEC5002012041 Prepared for: California Energy Commission of California. #12; ii ABSTRACT This study reviewed first available frameworks for climate change adaptation

302

Introducing the Google Maps API  

Science Journals Connector (OSTI)

On today’s Web, mapping solutions are a natural ingredient. We use them to see the location of things, to search for the position of an address, to get driving directions, and to do numerous other things. Most...

Gabriel Svennerberg

2010-01-01T23:59:59.000Z

303

Protein folding using contact maps  

E-Print Network [OSTI]

We present the development of the idea to use dynamics in the space of contact maps as a computational approach to the protein folding problem. We first introduce two important technical ingredients, the reconstruction of a three dimensional conformation from a contact map and the Monte Carlo dynamics in contact map space. We then discuss two approximations to the free energy of the contact maps and a method to derive energy parameters based on perceptron learning. Finally we present results, first for predictions based on threading and then for energy minimization of crambin and of a set of 6 immunoglobulins. The main result is that we proved that the two simple approximations we studied for the free energy are not suitable for protein folding. Perspectives are discussed in the last section.

Michele Vendruscolo; Eytan Domany

1999-01-21T23:59:59.000Z

304

Locating Restricted Facilities on Binary Maps  

E-Print Network [OSTI]

welfare optimization, when the area map is encoded as a binary (0,1) mxn matrix. ... of connected components in binary maps and in Section 7 we conclude.

Mugurel

2008-09-20T23:59:59.000Z

305

Solar Career Map | Department of Energy  

Energy Savers [EERE]

Career Map The Solar Career Map explores the many job opportunities available in the solar industry. It is a comprehensive renewable energy competency model...

306

Solar Career Map | Department of Energy  

Office of Environmental Management (EM)

Solar Career Map Solar Career Map Competencies Together with the Department of Labor, the Office of Energy Efficiency and Renewable Energy developed a comprehensive Renewable...

307

Bouguer gravity map | Open Energy Information  

Open Energy Info (EERE)

Bouguer gravity map. Map. Denver, Colorado. U.S. Geological Survey. () . Black & White. Scale 1:500,000. Retrieved from "http:en.openei.orgwindex.php?titleBouguergravi...

308

NREL: International Activities - Afghanistan Resource Maps and...  

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

The high-resolution (10-km) annual and seasonal solar resource maps were developed using weather satellite data incorporated into a site-time specific solar mapping approach...

309

Density equalizing map projections (cartograms) in public health applications  

SciTech Connect (OSTI)

In studying geographic disease distributions, one normally compares rates among arbitrarily defined geographic subareas (e.g. census tracts), thereby sacrificing some of the geographic detail of the original data. The sparser the data, the larger the subareas must be in order to calculate stable rates. This dilemma is avoided with the technique of Density Equalizing Map Projections (DEMP){copyright}. Boundaries of geographic subregions are adjusted to equalize population density over the entire study area. Case locations plotted on the transformed map should have a uniform distribution if the underlying disease risk is constant. On the transformed map, the statistical analysis of the observed distribution is greatly simplified. Even for sparse distributions, the statistical significance of a supposed disease cluster can be calculated with validity. The DEMP algorithm was applied to a data set previously analyzed with conventional techniques; namely, 401 childhood cancer cases in four counties of California. The distribution of cases on the transformed map was analyzed visually and statistically. To check the validity of the method, the identical analysis was performed on 401 artificial cases randomly generated under the assumption of uniform risk. No statistically significant evidence for geographic non-uniformity of rates was found, in agreement with the original analysis performed by the California Department of Health Services.

Merrill, D.W.

1998-05-01T23:59:59.000Z

310

Mapping onto mesh connected multiprocessors  

E-Print Network [OSTI]

MAPPING ONTO MESH CONNECTED MULTIPROCESSORS A Thesis by PRASHANT L. HANGAL Submitted to the Office of Graduate Studies of Texas A@M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1993... Major Subject: Computer Science MAPPING ONTO MESH CONNECTED MULTIPROCESSORS A Thesis by PRASHANT L. HANGAL Submitted to the Office of Graduate Studies of Texas A3rM University in partial fulfillment of the requirements for the degree of MASTER...

Hangal, Prashant L

2012-06-07T23:59:59.000Z

311

Mapping Indigenous Depth of Place  

E-Print Network [OSTI]

AMERICAN INDIAN CULTURE AND RESEARCH JOURNAL 32:3 (2008) 107–126 107 Mapping Indigenous Depth of Place MARGARET WICKENS PEARCE AND RENEE PUALANI LOUIS INTRODUCTION Indigenous communities have successfully used Western geospatial technolo- gies (GT... of geog- raphy at Ohio University in Athens, Ohio. Renee Pualani Louis is Hawaiian and recently completed her doctorate in geography at the University of Hawai‘i at MaŻnoa, Honolulu, Hawai‘i. Published as M. Pearce and R. Louis. Mapping Indigenous depth...

Pearce, Margaret Wickens; Louis, Renee Pualani

2008-11-01T23:59:59.000Z

312

The Building Energy Report Card is used to compare the actual annual energy consumption of buildings to a  

E-Print Network [OSTI]

The Building Energy Report Card is used to compare the actual annual energy consumption Thermal Unit (Btu). For convenience, this annual energy consumption is expressed as thousands of Btus (i of buildings to a State of Minnesota "target." This target represents the amount of energy that would

Ciocan-Fontanine, Ionut

313

General Project Sequence The following are typical steps on many projects. Actual required steps may vary from project to project  

E-Print Network [OSTI]

General Project Sequence The following are typical steps on many projects. Actual required steps may vary from project to project depending upon the scope, complexity, and specific features. Time periods indicated will vary depending on the nature of the project and needs of the user group

Mather, Patrick T.

314

An experimental and computational leakage investigation of labyrinth seals with rub grooves of actual size and shape  

E-Print Network [OSTI]

to that of a modified convex wall geometry. The test facility is a 33 times enlargement of the actual seal. The pressure drop leakage rate and flow visualization digital images for the standard geometry seal were measured at various Reynolds numbers...

Ambrosia, Matthew Stanley

2001-01-01T23:59:59.000Z

315

Evaluation and validation of criticality codes for fuel dissolver calculations  

SciTech Connect (OSTI)

During the past ten years an OECD/NEA Criticality Working Group has examined the validity of criticality safety computational methods. International calculation tools which were shown to be valid in systems for which experimental data existed were demonstrated to be inadequate when extrapolated to fuel dissolver media. The spread of the results in the international calculation amounted to {plus minus} 12,000 pcm in the realistic fuel dissolver exercise n{degrees} 19 proposed by BNFL, and to {plus minus} 25,000 pcm in the benchmark n{degrees} 20 in which fissile material in solid form is surrounded by fissile material in solution. A theoretical study of the main physical parameters involved in fuel dissolution calculations was performed, i.e. range of moderation, variation of pellet size and the fuel double heterogeneity effect. The APOLLO/P{sub IC} method developed to treat latter effect, permits us to supply the actual reactivity variation with pellet dissolution and to propose international reference values. The disagreement among contributors' calculations was analyzed through a neutron balance breakdown, based on three-group microscopic reaction rates solicited from the participants. The results pointed out that fast and resonance nuclear data in criticality codes are not sufficiently reliable. Moreover the neutron balance analysis emphasized the inadequacy of the standard self-shielding formalism (NITAWL in the international SCALE package) to account for {sup 238}U resonance mutual self-shielding in the pellet-fissile liquor interaction. Improvements in the up-dated 1990 contributions, as do recent complementary reference calculations (MCNP, VIM, ultrafine slowing-down CGM calculation), confirm the need to use rigorous self-shielding methods in criticality design-oriented codes. 6 refs., 11 figs., 3 tabs.

Santamarina, A.; Smith, H.J. (CEA Centre d'Etudes Nucleaires de Cadarache, 13 - Saint-Paul-lez-Durance (France)); Whitesides, G.E. (Oak Ridge National Lab., TN (United States))

1991-01-01T23:59:59.000Z

316

Development of a Web-based Emissions Reduction Calculator for Green Power Purchases from Texas Wind Energy Providers  

E-Print Network [OSTI]

DEVELOPMENT OF A WEB-BASED, EMISSIONS REDUCTION CALCULATOR FOR GREEN POWER PURCHASES FROM TEXAS WIND ENERGY PROVIDERS Zi Liu, Ph.D. Research Engineer Jeff S. Haberl, Ph.D., P.E. Professor/Assc. Director Juan... that have been developed to calculate the emissions reductions from electricity provided by wind energy providers in the Texas ERCOT region, including an analysis of actual hourly wind power generated from a wind turbine in Randall County, Texas...

Liu, Z.; Baltazar-Cervantes, J. C.; Gilman, D.; Haberl, J.; Culp, C.

2005-01-01T23:59:59.000Z

317

Alternative Fuels Data Center: Maps and Data  

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

Maps & Data Maps & Data Printable Version Share this resource Send a link to Alternative Fuels Data Center: Maps and Data to someone by E-mail Share Alternative Fuels Data Center: Maps and Data on Facebook Tweet about Alternative Fuels Data Center: Maps and Data on Twitter Bookmark Alternative Fuels Data Center: Maps and Data on Google Bookmark Alternative Fuels Data Center: Maps and Data on Delicious Rank Alternative Fuels Data Center: Maps and Data on Digg Find More places to share Alternative Fuels Data Center: Maps and Data on AddThis.com... Maps and Data Find maps and charts showing transportation data and trends related to alternative fuels and vehicles. Browse by Category All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns

318

EERE: Federal Energy Management Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Federal Energy Management Program - Site Map to someone by E-mail Share EERE: Federal Energy Management Program - Site Map on Facebook Tweet about EERE: Federal Energy Management Program - Site Map on Twitter Bookmark EERE: Federal Energy Management Program - Site Map on Google Bookmark EERE: Federal Energy Management Program - Site Map on Delicious Rank EERE: Federal Energy Management Program - Site Map on Digg Find More places to share EERE: Federal Energy Management Program - Site Map on AddThis.com... Site Map About the Program Program Plans, Implementation, and Results Interagency Coordination Interagency Energy Management Task Force Contacts Program Areas Sustainable Buildings & Campuses

319

NREL-MapSearch | Open Energy Information  

Open Energy Info (EERE)

NREL-MapSearch NREL-MapSearch Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NREL-MapSearch Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy, Land Focus Area: Renewable Energy, Biomass, Energy Efficiency, Geothermal, Hydrogen, Solar, Wind Phase: Determine Baseline Topics: Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Website Website: maps.nrel.gov/node/18 Web Application Link: www.nrel.gov/gis/mapsearch/index.html Cost: Free Language: English NREL-MapSearch Screenshot References: NREL MapSearch[1] NREL MapSearch allows you to easily and quickly find Geographic Information System (GIS) maps produced by NREL. About Use our MapSearch to easily search our collection of over a thousand maps created by the Geographic Information Systems (GIS) team. A faceted search

320

Alternative Fuels Data Center: Maps and Data  

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

Maps & Data Maps & Data Printable Version Share this resource Send a link to Alternative Fuels Data Center: Maps and Data to someone by E-mail Share Alternative Fuels Data Center: Maps and Data on Facebook Tweet about Alternative Fuels Data Center: Maps and Data on Twitter Bookmark Alternative Fuels Data Center: Maps and Data on Google Bookmark Alternative Fuels Data Center: Maps and Data on Delicious Rank Alternative Fuels Data Center: Maps and Data on Digg Find More places to share Alternative Fuels Data Center: Maps and Data on AddThis.com... Maps and Data Find maps and charts showing transportation data and trends related to alternative fuels and vehicles. Vehicles All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Fuels & Infrastructure

Note: This page contains sample records for the topic "maps calculated actual" 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

MFTF-B performance calculations  

SciTech Connect (OSTI)

In this report we document the operating scenario models and calculations as they exist and comment on those aspects of the models where performance is sensitive to the assumptions that are made. We also focus on areas where improvements need to be made in the mathematical descriptions of phenomena, work which is in progress. To illustrate the process of calculating performance, and to be very specific in our documentation, part 2 of this report contains the complete equations and sequence of calculations used to determine parameters for the MARS mode of operation in MFTF-B. Values for all variables for a particular set of input parameters are also given there. The point design so described is typical, but should be viewed as a snapshot in time of our ongoing estimations and predictions of performance.

Thomassen, K.I.; Jong, R.A.

1982-12-06T23:59:59.000Z

322

Introduction of heat map to fidelity assessment of compressed CT images  

SciTech Connect (OSTI)

Purpose: This study aimed to introduce heat map, a graphical data presentation method widely used in gene expression experiments, to the presentation and interpretation of image fidelity assessment data of compressed computed tomography (CT) images. Methods: The authors used actual assessment data that consisted of five radiologists' responses to 720 computed tomography images compressed using both Joint Photographic Experts Group 2000 (JPEG2000) 2D and JPEG2000 3D compressions. They additionally created data of two artificial radiologists, which were generated by partly modifying the data from two human radiologists. Results: For each compression, the entire data set, including the variations among radiologists and among images, could be compacted into a small color-coded grid matrix of the heat map. A difference heat map depicted the advantage of 3D compression over 2D compression. Dendrograms showing hierarchical agglomerative clustering results were added to the heat maps to illustrate the similarities in the data patterns among radiologists and among images. The dendrograms were used to identify two artificial radiologists as outliers, whose data were created by partly modifying the responses of two human radiologists. Conclusions: The heat map can illustrate a quick visual extract of the overall data as well as the entirety of large complex data in a compact space while visualizing the variations among observers and among images. The heat map with the dendrograms can be used to identify outliers or to classify observers and images based on the degree of similarity in the response patterns.

Lee, Hyunna; Kim, Bohyoung; Seo, Jinwook; Park, Seongjin; Shin, Yeong-Gil [School of Computer Science and Engineering, Seoul National University, 599 Kwanak-ro, Kwanak-gu, Seoul 151-742 (Korea, Republic of); Kim, Kil Joong [Department of Radiation Applied Life Science, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, Seoul 110-744 (Korea, Republic of); Lee, Kyoung Ho [Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Institute of Radiation Medicine and Seoul National University Medical Research Center, 300 Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do 463-707 (Korea, Republic of)

2011-08-15T23:59:59.000Z

323

Local control of area-preserving maps  

E-Print Network [OSTI]

We present a method of control of chaos in area-preserving maps. This method gives an explicit expression of a control term which is added to a given area-preserving map. The resulting controlled map which is a small and suitable modification of the original map, is again area-preserving and has an invariant curve whose equation is explicitly known.

Cristel Chandre; Michel Vittot; Guido Ciraolo

2008-09-01T23:59:59.000Z

324

MEDIEVAL DISTORTIONS: THE PROJECTIONS OF ANCIENT MAPS  

E-Print Network [OSTI]

MEDIEVAL DISTORTIONS: THE PROJECTIONS OF ANCIENT MAPS W.R TOBLER University of Michigan, Ann Arbor ABSTRACT. Estimates of the map projection employed for an ancient map is a prerequisite for a variety for the Hereford map and illustrated the agreement of a portolan chart with an oblique Mercator projection

Tobler, Waldo

325

Combinatorial Maps with Normalized Knot Dainis ZEPS  

E-Print Network [OSTI]

Combinatorial Maps with Normalized Knot Dainis ZEPS Abstract We consider combinatorial maps's normalization doesn't affect combinatorial map what concerns its generality. Knot's normalization leads to more concise numeration of corners in maps, e.g., odd or even corners allow easy to follow distinguished cycles

Paris-Sud XI, Université de

326

Schmidt states and positivity of linear maps  

E-Print Network [OSTI]

Using pure entangled Schmidt states, we show that m-positivity of a map is bounded by the ranks of its negative Kraus matrices. We also give an algebraic condition for a map to be m-positive. We interpret these results in the context of positive maps as entanglement witnesses, and find that only 1-positive maps are needed for testing entanglement.

Aik-meng Kuah; E. C. G. Sudarshan

2005-06-13T23:59:59.000Z

327

Career Map: Technical Trainer/Instructor  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Technical Trainer/Instructor positions.

328

Career Map: Training and Development Manager  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Training and Development Manager positions.

329

Career Map: Power Systems/Transmission Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Power Systems and Transmission Engineer positions.

330

Career Map: Site/Plant Manager  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Site/Plant Manager positions.

331

Noise impact assessment by utilizing noise map and GIS: A case study in the city of Chungju, Republic of Korea  

Science Journals Connector (OSTI)

In this study, a scheme to develop a noise map and noise impact assessment method using GIS has been suggested. After developing a road-traffic noise map for the city of Chungju, Republic of Korea, noise impact assessment was performed through analyzing the map. A 3-dimensional terrain model was generated using digital maps and building models were prepared using the information from draft and digital maps. To develop a noise evaluation model, a noise-source map for each road was generated. The noise levels at 25 locations close to roads were measured and compared with the expected noise levels to verify the developed noise map. An excess noise map was generated by comparing the road-traffic noise map with a noise-standard map. Using the excess noise map, the areas exceeding environmental noise standards were effectively evaluated through a GIS space analysis. The 3-dimensional facade noise map was generated to calculate the number of people exposed to a certain noise level.

Joon Hee Ko; Seo Il Chang; Byung Chan Lee

2011-01-01T23:59:59.000Z

332

Property:CoverageMap | Open Energy Information  

Open Energy Info (EERE)

CoverageMap CoverageMap Jump to: navigation, search This is a property of type String. Pages using the property "CoverageMap" Showing 25 pages using this property. (previous 25) (next 25) A ALLETE Inc., d/b/a Minnesota Power Smart Grid Project + SmartGridMap-ALLETEMNPower.JPG + American Transmission Company LLC II Smart Grid Project + SmartGridMap-AmericanTransmissionII.JPG + American Transmission Company LLC Smart Grid Project + SmartGridMap-AmericanTransmission.JPG + Atlantic City Electric Company Smart Grid Project + SmartGridMap-AtlanticCityElectric.JPG + Avista Utilities Smart Grid Project + SmartGridMap-AvistaUtilities.JPG + B Baltimore Gas and Electric Company Smart Grid Project + SmartGridMap-BaltimoreGasElectric.JPG + Black Hills Power, Inc. Smart Grid Project + SmartGridMap-BlackHills.JPG +

333

Calculating and reporting changes in net heat of combustion of wood fuel  

SciTech Connect (OSTI)

There is often confusion when reporting net heat of combustion changes in wood fuel due to changes in moisture content (MC) of the fuel. This paper was written to identify and clarify the bases on which changes in net heat of combustion can be calculated. Formulae for calculating changes in net heat of combustion of wood fuel due to MC changes are given both on a per unit weight of fuel basis and on an actual gain basis. Examples which illustrate the difference in the two reporting approaches, as well as the importance of both approaches, are presented. (Refs. 7).

Harris, R.A.; McMinn, J.W.; Payne, F.A.

1986-06-01T23:59:59.000Z

334

All maps equivalent to a given map, completely positive or not  

E-Print Network [OSTI]

A dynamical map is a map which takes one density operator to another. Such a map can be written in an operator-sum representation (OSR) using a spectral decomposition. The method of the construction applies to more general maps which need not be completely positive. The OSR not unique; there is a freedom to choose the set of operators in the OSR differently, yet still obtain the same map. Here we identify all maps which are equivalent to a given map. Whereas the freedom for completely positive maps is unitary, the freedom for maps which are not necessarily completely positive is pseudo-unitary.

Yong-Cheng Ou; Mark S. Byrd

2010-04-29T23:59:59.000Z

335

Making Google Maps A comprehensive user guide for creating and using your own online Google Maps  

E-Print Network [OSTI]

1 Making Google Maps A comprehensive user guide for creating and using your own online Google Maps Mashups! What are mashups? Like all maps, mashups display locations chosen by the map's creator, but unlike most maps, anybody with access to the internet can create a personalized mashup. Mashups live

Wright, Dawn Jeannine

336

Unimodal Maps as Boundary-Restrictions of Two-Dimensional Full-Folding Maps  

E-Print Network [OSTI]

Unimodal Maps as Boundary-Restrictions of Two-Dimensional Full-Folding Maps Hideki TSUIKI tsuiki-75-753-6744, Fax:+81-75-753-6694 Abstract It is shown that every unimodal map is realized as a restriction of a simple map defined on the unit disc to a part of its boundary. Our two-dimensional map is called a full

Tsuiki, Hideki

337

The University of Toronto Map and Data Library: An Introduction to Maps and Geospatial Data  

E-Print Network [OSTI]

Systems data collection. Address 130 St. George 5 th floor, Robarts Library Toronto, ON M5S 1A5 Email: gis.maps1 The University of Toronto Map and Data Library: An Introduction to Maps and Geospatial Data The University of Toronto Map Library is now the Map and Data Library of the University of Toronto Libraries

Sun, Yu

338

Actual Crimes Reported For: Offense Type (includes attempts) 2010 2011 2012 2010 2011 2012 2010 2011 2012  

E-Print Network [OSTI]

0 0 0 0 0 Referral 0 0 0 0 0 0 0 0 0 Drug Law Violations Arrest 0 3 4 0 1 0 0 4 4 Referral 0 0 0 0 0 0 0 0 0 Liquor Law Violations Arrest 0 0 0 0 0 0 0 0 0 Referral 0 0 0 0 0 0 0 0 0 OSU-Tulsa Campus Crime Statistics Act. Number of Arrests/Referrals for Select Offenses #12;Actual Crimes Reported For

Veiga, Pedro Manuel Barbosa

339

Parameter-free calculation of response functions in time dependent density functional theory  

E-Print Network [OSTI]

Parameter-free calculation of response functions in time dependent density functional theory - Quasiparticle approach - Density functional approach Mapping theory to describe spectra of solids in TDDFT Towards an efficient (fast) theory Conclusions #12;Dielectric function of the material Vtot = -1 Vext Non

Botti, Silvana

340

Counting Bitangents with Stable Maps  

E-Print Network [OSTI]

This paper is an elementary introduction to the theory of moduli spaces of curves and maps. As an application to enumerative geometry, we show how to count the number of bitangent lines to a projective plane curve of degree $d$ by doing intersection theory on moduli spaces.

David Ayala; Renzo Cavalieri

2005-12-22T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

ALGORITHMS FOR CONSTRUCTING COMPARATIVE MAPS  

E-Print Network [OSTI]

. In this paper we present e#cient algorithms that help in automating this e#ort and o#er an explicit setALGORITHMS FOR CONSTRUCTING COMPARATIVE MAPS Debra S. Goldberg Susan McCouch Jon Kleinberg expert analysis, a simple linear algorithm, and a more complex stack­based algorithm. All three methods

Kleinberg, Jon

342

Technical Note Engineering Soils Maps  

E-Print Network [OSTI]

Technical Note Engineering Soils Maps PAUL M. SANTI Department of Geology and Geological database. In this technique, rose-pie charts provide an overall assessment of soils hazards structures such as pipelines, power lines, and roads; and regional evaluations of sources of ag- gregate

343

Policy Selection by Structural Mapping  

Science Journals Connector (OSTI)

27 June 1977 research-article Policy Selection by Structural Mapping B. H. P...is concerned with the selection of 'best' policies from a range of alternative possibilities where each policy is assessed in terms of its degrees of attainment...

1977-01-01T23:59:59.000Z

344

SIVE Workshop '95 Building Map  

E-Print Network [OSTI]

SIVE Workshop '95 Building Map Workshop . Room W401 in Pappajohn Business Administration Building RIVERSIDE DRIVE (HIGHWAYS 1 & 6) Highways 1 & 6 (from Coralville) Riverside Drive RIVER IOWA ART BUILDING 1234567890 1234567890 1234567890 1234567890 Pappajohn Business Administration Building IMU RAMP DUBUQUE ST

Cremer, James

345

ALMS: Automated logic mapping system  

Science Journals Connector (OSTI)

ALMS is a set of design automation computer programs which accepts as input a description of a logic design, specifications of modules (e.g., chips, cards, etc.) into which the blocks of the design are to be partitioned or mapped, and some constraints ...

R. L. Russo; P. K. Wolff, Sr.

1971-06-01T23:59:59.000Z

346

Regular maps with almost Sylow-cyclic automorphism groups, and classification of regular maps with Euler  

E-Print Network [OSTI]

Regular maps with almost Sylow-cyclic automorphism groups, and classification of regular maps with Euler characteristic -p2 Marston Abstract A regular map M is a cellular decomposition of a surface such that its * *automor

Conder, Marston

347

Calculation Theory of Uniform Distribution in Cleanroom  

Science Journals Connector (OSTI)

Calculation of the dust concentration is the core of the design calculation for cleanroom. The theoretical calculation in this chapter is ... the assumption that particles are uniformly distributed in cleanroom.

Zhonglin Xu

2014-01-01T23:59:59.000Z

348

NONLINEAR APPROXIMATIONS FOR ELECTRONIC STRUCTURE CALCULATIONS  

E-Print Network [OSTI]

NONLINEAR APPROXIMATIONS FOR ELECTRONIC STRUCTURE CALCULATIONS G. BEYLKIN AND T. S. HAUT Abstract. We present a new method for electronic structure calculations based on novel algorithms for nonlinear numerical calculus suitable for electronic structure calculations. For any spatial orbital

Beylkin, Gregory

349

Multilevel domain decomposition for electronic structure calculations  

E-Print Network [OSTI]

Multilevel domain decomposition for electronic structure calculations M. Barrault a,b,*, E. Cance method (MDD) for electronic structure calculations within semi- empirical and density functional theory electronic structure calculations A molecular system is composed of N electrons, modelled quantum

Hager, William

350

Electronic Structure Calculations on Helical Conducting Polymers  

Science Journals Connector (OSTI)

Electronic Structure Calculations on Helical Conducting Polymers ... Therefore, we select the B3LYP/6-31G* methodology to calculate the oligomers. ... Table 3 shows several calculated parameters. ...

Juan D. Ripoll; Andrei Serna; Doris Guerra; Albeiro Restrepo

2010-09-28T23:59:59.000Z

351

Unit I-4 More about linear maps 1 More about linear maps  

E-Print Network [OSTI]

Unit I-4 More about linear maps 1 Unit I-4 More about linear maps Unit I-4 More about linear maps 2 Using bases to define linear maps · V, U vector spaces · a unique linear map T: V U is determined · if v = a1v1 + ... + anvn then T(v) = a1T(v1) + ... + anT(vn) Unit I-4 More about linear maps 3 Example

Birkett, Stephen

352

Sandbag Carbon Offset Map | Open Energy Information  

Open Energy Info (EERE)

Sandbag Carbon Offset Map Sandbag Carbon Offset Map Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Sandbag Carbon Offset Map Agency/Company /Organization: Sandbag Sector: Energy, Land Focus Area: Renewable Energy, Biomass, Energy Efficiency, Forestry, Geothermal, Hydrogen, Industry, Solar, Wind Topics: Market analysis Resource Type: Maps, Software/modeling tools User Interface: Website Website: sandbag.org.uk/carbondata/cers Sandbag Carbon Offset Map Screenshot References: Sandbag Carbon Offset Map[1] Thinking about climate change can be a depressing occupation. It's a massive issue and personal actions like switching off lights and unplugging televisions can feel like small contributions. Background "Thinking about climate change can be a depressing occupation. It's a

353

Data Collection and Mapping | Open Energy Information  

Open Energy Info (EERE)

Data Collection and Mapping Data Collection and Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Data Collection and Mapping Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Field Techniques Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Bulk and trace element analysis of rocks, minerals, and sediments. Identify and document surface geology and mineralogy. Rapid and unambiguous identification of unknown minerals.[1] Stratigraphic/Structural: Locates active faults in the area of interest. Map fault and fracture patterns, kinematic information

354

Protein Folding in Contact Map Space  

Science Journals Connector (OSTI)

Changing a few contacts in a contact map corresponds to a large scale move in confrontation space; hence, one gains a lot by using the contact map representation for protein folding. We developed an efficient search procedure in the space of physical contact maps, which could identify the native fold as of the lowest free energy, provided on had a free energy function whose ground state is the native map. We prove rigorously that the widely used pairwise contact approximation to the free energy cannot stabilize even a single protein's native map. Testing the native map against a set of decoys obtained by gapless threading, one may be misled to the opposite conclusion.

M. Vendruscolo; R. Najmanovich; E. Domany

1999-01-18T23:59:59.000Z

355

Cost Recovery Charge (CRC) Calculation Tables  

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

Cost Recovery Charge (CRC) Calculation Table Updated: October 6, 2014 FY 2016 September 2014 CRC Calculation Table (pdf) Final FY 2015 CRC Letter & Table (pdf) Note: The Cost...

356

MAP, MAC, and Vortex-rings Configurations in the Weinberg-Salam Model  

E-Print Network [OSTI]

We report on the presence of new axially symmetric monopoles, antimonopoles and vortex-rings solutions of the SU(2)$\\times$U(1) Weinberg-Salam model of electromagnetic and weak interactions. When the $\\phi$-winding number $n=1$, and 2, the configurations are monopole-antimonopole pair (MAP) and monopole-antimonopole chain (MAC) with poles of alternating sign magnetic charge arranged along the $z$-axis. Vortex-rings start to appear from the MAP and MAC configurations when the winding number $n=3$. The MAP configurations possess zero net magnetic charge whereas the MAC configurations possess net magnetic charge of $4\\pi n/e$. In the MAP configurations, the monopole-antimonopole pair is bounded by the ${\\cal Z}^0$ field flux string and there is an electromagnetic current loop encircling it. The monopole and antimonopole possess magnetic charges $\\pm\\frac{2\\pi n}{e}$ respectively. In the MAC configurations there is no string connecting the monopole and the adjacent antimonopole and they possess magnetic charges $\\pm\\frac{4\\pi n}{e}$ respectively. The MAC configurations possess infinite total energy and zero magnetic dipole moment whereas the MAP configurations which are actually sphalerons possess finite total energy and magnetic dipole moment. The configurations were investigated for varying value of Higgs boson mass $0\\leq M_H^2\\leq 80$ at Weinberg angle $\\theta_W=\\frac{\\pi}{4}$.

Rosy Teh; Ban-Loong Ng; Khai-Ming Wong

2014-08-20T23:59:59.000Z

357

Equations shorten pipe collapse calculations  

SciTech Connect (OSTI)

The API suggests collapse pressure equations for long, perfectly round, steel oil field casing, tubing, drill pipe, and line pipe. Operating and service company engineers can substitute two pipe collapse pressure equations for the 12 API equations now in general use. The shorthand results are almost the same as those from the API equations. The shorthand method has the additional advantage of allowing units from any measurement system. The API equations restrict calculations to US units only. The equation box lists the API (Equations 1--12) and the shorthand (Equations 13--14) equations. The API equations are based on work started shortly after the turn of the century.

Avakov, V.A. [Halliburton Energy Services, Duncan, OK (United States)

1995-04-10T23:59:59.000Z

358

Comparison of plasma focus calculations  

Science Journals Connector (OSTI)

A simple model for the current history of plasma focus experiments is presented. The presence of a leak current which does not pass through the plasma sheath is allowed. Results are found to compare quite well with those of much more sophisticated two?dimensional magnetohydrodynamic calculations. For the Frascati experiment which has detailed current measurements computed results do not agree with experimentally derived values. A reasonable match for the total current in the Frascati experiment can be found by lowering the leak current. Both total and leak current can be matched if a mass loss from the run?down region is allowed.

Peter G. Eltgroth

1982-01-01T23:59:59.000Z

359

Energy Calculator- Common Units and Conversions  

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

Energy Calculator - Common Units and Conversions Energy Calculator - Common Units and Conversions Calculators for Energy Used in the United States: Coal Electricity Natural Gas Crude Oil Gasoline Diesel & Heating Oil Coal Conversion Calculator Short Tons Btu Megajoules Metric Tons Clear Calculate 1 Short Ton = 20,169,000 Btu (based on U.S. consumption, 2007) Electricity Conversion Calculator KilowattHours Btu Megajoules million Calories Clear Calculate 1 KilowattHour = 3,412 Btu Natural Gas Conversion Calculator Cubic Feet Btu Megajoules Cubic Meters Clear Calculate 1 Cubic Foot = 1,028 Btu (based on U.S. consumption, 2007); 1 therm = 100,000 Btu; 1 terajoule = 1,000,000 megajoules Crude Oil Conversion Calculator Barrels Btu Megajoules Metric Tons* Clear Calculate 1 Barrel = 42 U.S. gallons = 5,800,000 Btu (based on U.S. consumption,

360

Fractional Zaslavsky and Henon Discrete Maps  

E-Print Network [OSTI]

This paper is devoted to the memory of Professor George M. Zaslavsky passed away on November 25, 2008. In the field of discrete maps, George M. Zaslavsky introduced a dissipative standard map which is called now the Zaslavsky map. G. Zaslavsky initialized many fundamental concepts and ideas in the fractional dynamics and kinetics. In this paper, starting from kicked damped equations with derivatives of non-integer orders we derive a fractional generalization of discrete maps. These fractional maps are generalizations of the Zaslavsky map and the Henon map. The main property of the fractional differential equations and the correspondent fractional maps is a long-term memory and dissipation. The memory is realized by the fact that their present state evolution depends on all past states with special forms of weights.

Vasily E. Tarasov

2011-07-26T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Maps and Directions | Savannah River Ecology Laboratory  

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

Maps and Directions SREL Conference Center map From the intersection of Hwy 19 and Hwy 278, go east on 278. After 3.5 miles a gravel road will appear on the left, marked by a low...

362

Sense of Place Evoked by Interactive Maps  

E-Print Network [OSTI]

Maps are essential tools for providing tourism information. Hence, it is imperative for tourism marketers to understand how tourists perceive spatial information and sense physical places virtually presented in digital maps. Based on sense of place...

Go, Hanyoung

2012-07-16T23:59:59.000Z

363

Probabilistic seismic hazard maps for Panama  

Science Journals Connector (OSTI)

Probabilistic seismic hazard maps in term of Modified Mercalli (MM) intensity are derived by applying the ‘Cornell-McGuire’ method to four earthquake source zones in Panama and adjacent areas. The maps contain es...

Aristoteles Vergara Muńoz

1991-01-01T23:59:59.000Z

364

Fuzzy cognitive maps in GIS data analysis  

Science Journals Connector (OSTI)

?Fuzzy cognitive maps (FCMs) are graphs that provide a...functional...systems. We have developed a system based on contextual fuzzy cognitive maps (CFCMs) for geographic information systems (GIS) using both spati...

Z.-Q. Liu

2003-05-01T23:59:59.000Z

365

Historical maps of Ljubljana for GIS applications  

Science Journals Connector (OSTI)

Methods for georeferencing and GIS applications of the maps and plans from the 16th century until ... The results of georeferencing — derivatives of historical maps, show a high value and potential of ... policy....

T. Podobnikar

2010-03-01T23:59:59.000Z

366

Mapping: Inventories, Susceptibility, Hazard and Risk  

Science Journals Connector (OSTI)

Generation of landslide maps is of great significance for land use planning, engineering works design and civil protection and risk reduction programmes. Landslide maps may portray past and current landslide o...

Javier Hervás; Peter Bobrowsky

2009-01-01T23:59:59.000Z

367

Hawaii geologic map data | Open Energy Information  

Open Energy Info (EERE)

geologic map data Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Hawaii geologic map data Published USGS, Date Not Provided DOI Not Provided Check for...

368

Ocean Map Regional | Data.gov  

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

Regional Regional Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Featured Maps The following maps are from data sources that are regional in scope. These are some of the data sources available in the Ocean Community that are most useful in the identified region. This includes several of the human use atlases now available. Regional/State Maps .view-map-gallery .views-row { float: inherit; margin: 0; } .map-align { float: left; margin: 0 20px; } .map-gallery-thumbnail{width:202px;height:133px;} .pane-map-gallery h2.pane-title { color: #284A78 !important; font: bold 16px Georgia,"Times New Roman",Serif !important; margin-left: 25px !important; } Oregon Submarine Cables Marine Reserves and Protected areas of Oregon

369

Apparatus and method for mapping an area of interest  

DOE Patents [OSTI]

An apparatus and method are provided for mapping an area of interest using polar coordinates or Cartesian coordinates. The apparatus includes a range finder, an azimuth angle measuring device to provide a heading and an inclinometer to provide an angle of inclination of the range finder as it relates to primary reference points and points of interest. A computer is provided to receive signals from the range finder, inclinometer and azimuth angle measurer to record location data and calculate relative locations between one or more points of interest and one or more primary reference points. The method includes mapping of an area of interest to locate points of interest relative to one or more primary reference points and to store the information in the desired manner. The device may optionally also include an illuminator which can be utilized to paint the area of interest to indicate both points of interest and primary points of reference during and/or after data acquisition.

Staab, Torsten A. (Los Alamos, NM) Cohen, Daniel L. (Ithaca, NY); Feller, Samuel (Fairfax, VA)

2009-12-01T23:59:59.000Z

370

A Map Made in the Heavens  

Broader source: Energy.gov [DOE]

Scientists pair precise observations with incredible computing power to create an astonishingly accurate map of the universe.

371

Maps of Costa Rica; an annotated cartobibliography  

E-Print Network [OSTI]

:48,000. Colored. 7 maps 25"x52" or smaller. Set of detailed topographic strip maps along route of proposed intercontinental rail road, following the west coast of Costa Rica. Sheets cover section from Nicaragua to Rio Savegre; the section from Rio Savegre... Maps of LAWRENCE: UNIVERSITY OF KANSAS LIBRARIES: 1965 AN ANNOTATED CARTOBIBLIOGRAPHY by ALBERT E. PALMERLEE UNIVERSITY OF KANSAS PUBLICATIONS Library Series, 19 Maps of LAWRENCE: UNIVERSITY OF KANSAS LIBRARIES: 1965 THE UNIVERSITY...

Palmerlee, Albert E.

1965-01-01T23:59:59.000Z

372

An inverse theorem on 'economic' maps  

SciTech Connect (OSTI)

We prove that the bound from the theorem on 'economic' maps is best possible. Namely, for m>n+d we construct a map from an n-dimensional simplex to an m-dimensional Euclidean space for which (and for any close map) there exists a d-dimensional plane whose preimage has cardinality not less than the upper bound [(dn+n+1)/(m-n-d)]+d from the theorem on 'economic' maps. Bibliography: 16 titles.

Bogataya, Svetlana I; Bogatyi, Semeon A; Kudryavtseva, Elena A

2012-04-30T23:59:59.000Z

373

CALCULATING OPTICAL CONSTANTS OF GLAZING MATERIALS  

E-Print Network [OSTI]

Solar Energy CALCULATING OPTICAL CONSTANTS OF GLAZING MATERIALS Michael Rub August 1981 TWO-WEEK LOAN

Rubin, Michael

2013-01-01T23:59:59.000Z

374

Eastern Energy Zones Mapping Tool  

Broader source: Energy.gov [DOE]

The Eastern Interconnection States’ Planning Council (EISPC) has released the Energy Zones (EZ) Mapping Tool, a free, web-based interactive tool that will help states and other stakeholders in the Eastern Interconnection identify geographic areas suitable for the development of clean energy resources (natural gas, sequestration or utilitization locations for C02 from coal, nuclear, and renewable) which can potentially provide significant amounts of new electric power generation.

375

3 D interactive pictorial maps  

E-Print Network [OSTI]

of simplififcation and exaggeration.. . . . . . . . . . . . . . 21 8 3 D polygonal text in Maya. . . . . . . . . . . . . . . . . . . . . . . . 22 9 Final 3 D model of Italy with text. . . . . . . . . . . . . . . . . . . . 23 10 Top view of 3 D model of France... the files in a format that is suitable for web viewing. 15 CHAPTER IV METHODOLOGY There are three major steps to making an interactive pictorial map. The fifrst step is to build the 3 D model using a modeling software, Maya. The second step is to apply...

Naz, Asma

2005-02-17T23:59:59.000Z

376

An open source MATLAB program for fast numerical Feynman integral calculations for open quantum system dynamics on GPUs  

E-Print Network [OSTI]

This MATLAB program calculates the dynamics of the reduced density matrix of an open quantum system modeled by the Feynman-Vernon model. The user gives the program a vector describing the coordinate of an open quantum system, a hamiltonian matrix describing its energy, and a spectral distribution function and temperature describing the environment's influence on it, in addition to the open quantum system's intial density matrix and a grid of times. With this, the program returns the reduced density matrix of the open quantum system at all (or some) moments specified by that grid of times. This overall calculation can be divided into two stages: the setup of the Feynman integral, and the actual calculation of the Feynman integral for time-propagation of the density matrix. When this program calculates this propagation on a multi-core CPU, it is this propagation that is usually the rate limiting step of the calculation, but when it is calculated on a GPU, the propagation is calculated so quickly that the setup of the Feynman integal actually becomes the rate limiting step for most cases tested so far. The overhead of transfrring information from the CPU to the GPU and back seems to have negligible effect on the overall runtime of the program. When the required information cannot fit on the GPU, the user can choose to run the entire program on a CPU.

Nikesh S. Dattani

2012-05-31T23:59:59.000Z

377

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

378

Alternative Fuels Data Center: Vehicle Cost Calculator  

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

Vehicle Cost Vehicle Cost Calculator to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator on AddThis.com... Vehicle Cost Calculator Vehicle Cost Calculator This tool uses basic information about your driving habits to calculate total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Also

379

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

380

Category:Map Files | Open Energy Information  

Open Energy Info (EERE)

image files, and where available, links to KMZ image files, and where available, links to KMZ sources used to generate the image files. Add.png Add a new Map File Subcategories This category has the following 4 subcategories, out of 4 total. M [×] Map Image Files‎ [×] Map PDF Files‎ N [×] NREL Map Files‎ 1 pages S [×] SWERA Map Files‎ Media in category "Map Files" The following 200 files are in this category, out of 1,687 total. (previous 200) (next 200) Australia-Solar-Map.png Australia-Solar-Map.png 55 KB Banglmetst 221.pdf Banglmetst 221.pdf 5.42 MB Black.Warrior.Basin usgs.map.pdf Black.Warrior.Basin us... 148 KB BOEMRE atlantic.OCS.multiple.use.map.2003.pdf BOEMRE atlantic.OCS.mu... 3.06 MB BOEMRE lease.platforms.santa.barb.map.5.2010.pdf BOEMRE lease.platforms... 1.41 MB BOEMRE OCS.oil.gas.2007-12.map.pdf

Note: This page contains sample records for the topic "maps calculated actual" 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

Introduction Maps in Science and Society  

E-Print Network [OSTI]

Introduction Maps in Science and Society Professor Keith C. Clarke TA Haiyun Ye Winter 2014 #12;Maps in Science and Society · This class is designed to show how technical and scientific development in cartography produced a series of instruments, practitioners, and ultimately maps that illustrate the strive

Clarke, Keith

382

Maps, languages, and manguages: Rival cognitive architectures?  

E-Print Network [OSTI]

Maps, languages, and manguages: Rival cognitive architectures? Kent Johnson Provided we agree about, section VII Map-like representations are frequently invoked as an alternative type of representational vehicle to a language of thought. This view presupposes that map-systems and languages form legitimate

Stanford, Kyle

383

Quantum Error Correction Beyond Completely Positive Maps  

E-Print Network [OSTI]

By introducing an operator sum representation for arbitrary linear maps, we develop a generalized theory of quantum error correction (QEC) that applies to any linear map, in particular maps that are not completely positive (CP). This theory of "linear quantum error correction" is applicable in cases where the standard and restrictive assumption of a factorized initial system-bath state does not apply.

A. Shabani; D. A. Lidar

2009-10-21T23:59:59.000Z

384

Constructing and Forbidding Automorphisms in Lifted Maps  

E-Print Network [OSTI]

Constructing and Forbidding Automorphisms in Lifted Maps Dan Archdeacon Department of Mathematics an algebraic description of surfaces with boundary to study covering maps. The focus is on the relationship between automor­ phisms in the base and lifted maps. We show how to introduce and/or prohibit additional

Archdeacon, Dan

385

Multiple Point Schemes for Corank 1 Maps  

Science Journals Connector (OSTI)

......Multiple Point Schemes for Corank 1 Maps Washington Luiz Marar David Mond...MULTIPLE POINT SCHEMES FOR CORANK 1 MAPS WASHINGTON LUIZ MARAR AND DAVID...1). Finally, denote the map Cn "1+fc -> C*~m defined...g:(Cn -1+k ,0) *C\\gis G-invariant}. Then

Washington Luiz Marar; David Mond

1989-06-01T23:59:59.000Z

386

A physical map of the human genome  

Science Journals Connector (OSTI)

... fingerprinted clones (primarily radiation hybrid chromosomal localization data from the Stanford Human Genome Center (SHGC)). The parameters finally used (overlap statistic of 3?×?10-12 or about ... http://carbon.wi.mit.edu:8000/cgi-bin/contig/phys_map), GeneMap’99, SHGC G3 radiation hybrid map (http://www- ...

2001-02-15T23:59:59.000Z

387

Contour maps: Monitoring and diagnosis in sensor networks  

E-Print Network [OSTI]

Contour Maps: Monitoring and Diagnosis in Sensor Networksof data – contour maps, which trade off accuracy with thealgorithms to build contour maps: distributed spatial and

Meng, Xiaoqiao Q; Nandagopal, T; Li, L; Lu, S W

2006-01-01T23:59:59.000Z

388

Approach for Calculating OE Benefits  

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

Reliability Reliability U.S. Department of Energy - 1000 Independence Ave., SW Washington, DC 20585 2007 Electricity Delivery and Energy Reliability Joe Paladino October 29, 2007 Approach for Calculating OE Benefits Challenges * Established benefits methodologies (e.g., NEMS and MARKAL) do not address some of the major benefits that OE's program will provide (e.g. reliability). * Much of OE's program is about transforming the way the T&D infrastructure operates rather than replacing components: - Some technologies need a high penetration or must be deployed as an entire system to yield benefits (e.g. PMUs or Distribution Automation). - Some programs within OE are not developing "widgets" that can be easily counted. - OE is developing tools/methodologies or funding demonstrations that

389

Power Line Calculator for DOS  

SciTech Connect (OSTI)

The Power Line Calculator (PLC) for DOS, version 1.0, is a program that describes the electrical characteristics of a transmission or distribution system given user-defined input. This input may consist of a combination of operating currents and phases, symmetric components, power factor, and real or reactive power. The program also allows the user to designate whether currents are present on the system neutral or in the ground. The PLC assumes that any value entered by the user remains fixed (e.g., phase current, power factor), and for underdetermined systems, basic default assumptions are incorporated: the power factor is held at or near 1.0, the net phase current is kept at or near zero, and the phase conductor currents are kept balanced. The program operates under PC/MS-DOS version 3.3 or later, and the output is available in both tabular and graphic formats.

Silva, J.M. (Enertech Consultants, Campbell, CA (United States))

1992-11-01T23:59:59.000Z

390

PHANTOM MAPS AND CHROMATIC PHANTOM MAPS J. DANIEL CHRISTENSEN AND MARK HOVEY  

E-Print Network [OSTI]

PHANTOM MAPS AND CHROMATIC PHANTOM MAPS J. DANIEL CHRISTENSEN AND MARK HOVEY Abstract. In the first part, we determine conditions on spectra X and Y under which either every map from X to Y is phantom, or no nonzero maps are. We also address the question of whether such all or nothing behaviour is preserved when

Christensen, Dan

391

PHANTOM MAPS AND CHROMATIC PHANTOM MAPS J. DANIEL CHRISTENSEN AND MARK HOVEY  

E-Print Network [OSTI]

PHANTOM MAPS AND CHROMATIC PHANTOM MAPS J. DANIEL CHRISTENSEN AND MARK HOVEY Abstract. In the #12;rst part, we determine conditions on spectra X and Y under which either every map from X to Y is phantom, or no nonzero maps are. We also address the question of whether such all or nothing behaviour

Christensen, Dan

392

MINUTES MAPS Board Meeting April 9, 2013, MAPS Office 4-6:30pm  

E-Print Network [OSTI]

MINUTES MAPS Board Meeting April 9, 2013, MAPS Office 4-6:30pm 1 Present: J. An J. Arlen, A $133.31 to be paid to Student Financial Aid & Financial Scholarships (McMaster) b. Review of MAPS financial opportunities for students K. Pastrak was brought in to discuss the 3 MAPS awards and bursaries

Hitchcock, Adam P.

393

The HapMap project has raised high hopes for mapping genetic determinants of complex human  

E-Print Network [OSTI]

The HapMap project has raised high hopes for mapping genetic determinants of complex human disease for mapping studies in human populations around the world. The HapMap project has characterized haplotype structures across the genome for four human populations with the goal of enabling genome-wide sets of SNPs

Rosenberg, Noah

394

C-Mapping: a flexible XML-RDB mapping method based on functional and inclusion dependencies  

Science Journals Connector (OSTI)

So far, many XML-RDB mapping methods have been proposed, but all of them deal only with either one-to-one or one-to-N mapping from XML elements to relational attributes, even though other mappings, such as N-to-one mapping, are possible. To extend the ...

Sosuke Ota; Atsuyuki Morishima; Norihide Shinagawa; Toshiyuki Amagasa

2012-03-01T23:59:59.000Z

395

Boltzmann-Fokker-Planck calculations using standard discrete-ordinates codes  

SciTech Connect (OSTI)

The Boltzmann-Fokker-Planck (BFP) equation can be used to describe both neutral and charged-particle transport. Over the past several years, the author and several collaborators have developed methods for representing Fokker-Planck operators with standard multigroup-Legendre cross-section data. When these data are input to a standard S/sub n/ code such as ONETRAN, the code actually solves the Boltzmann-Fokker-Planck equation rather than the Boltzmann equation. This is achieved wihout any modification to the S/sub n/ codes. Because BFP calculations can be more demanding from a numerical viewpoint than standard neutronics calculations, we have found it useful to implement new quadrature methods ad convergence acceleration methods in the standard discrete-ordinates code, ONETRAN. We discuss our BFP cross-section representation techniques, our improved quadrature and acceleration techniques, and present results from BFP coupled electron-photon transport calculations performed with ONETRAN. 19 refs., 7 figs.

Morel, J.E.

1987-01-01T23:59:59.000Z

396

Wind Resource Map: Mexico | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Map: Mexico Wind Resource Map: Mexico Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Resource Map: Mexico Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.altestore.com/howto/Reference-Materials/Wind-Resource-Map-Mexico/a Equivalent URI: cleanenergysolutions.org/content/wind-resource-map-mexico,http://clean Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is on-shore wind resource map for rural power applications in Mexico. The map can be used to aid in appropriate siting of wind power installations. Please note that the wind speed classes are taken at 30 m (100 feet [ft]), instead of the usual 10 m (33 ft). Each wind power class should span two power densities. For example, Wind Power Class = 3

397

RTU Comparison Calculator Enhancement Plan  

SciTech Connect (OSTI)

Over the past two years, Department of Energy’s Building Technologies Office (BTO) has been investigating ways to increase the operating efficiency of the packaged rooftop units (RTUs) in the field. First, by issuing a challenge to the RTU manufactures to increase the integrated energy efficiency ratio (IEER) by 60% over the existing ASHRAE 90.1-2010 standard. Second, by evaluating the performance of an advanced RTU controller that reduces the energy consumption by over 40%. BTO has previously also funded development of a RTU comparison calculator (RTUCC). RTUCC is a web-based tool that provides the user a way to compare energy and cost savings for two units with different efficiencies. However, the RTUCC currently cannot compare savings associated with either the RTU Challenge unit or the advanced RTU controls retrofit. Therefore, BTO has asked PNNL to enhance the tool so building owners can compare energy and savings associated with this new class of products. This document provides the details of the enhancements that are required to support estimating energy savings from use of RTU challenge units or advanced controls on existing RTUs.

Miller, James D.; Wang, Weimin; Katipamula, Srinivas

2014-03-31T23:59:59.000Z

398

Divya Energy Solar Panel Savings Calculator | Open Energy Information  

Open Energy Info (EERE)

Divya Energy Solar Panel Savings Calculator Divya Energy Solar Panel Savings Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Divya Energy Solar Panel Savings Calculator Agency/Company /Organization: Boston Cleanweb Hackathon Resource Type: Application prototype User Interface: Website Website: hackerleague.org/hackathons/boston-cleanweb-hackathon/hacks/divya-ener Web Application Link: www.divyaenergy.com/cleanweb/ OpenEI Keyword(s): Cleanweb Hackathon, Boston, Community Generated Coordinates: 42.3490737°, -71.0481764° 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":42.3490737,"lon":-71.0481764,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

399

Application of zircaloy deformation and fracture maps to predicting dry spent fuel storage conditions  

SciTech Connect (OSTI)

The research reported details the development of theoretical deformation and fracture maps for Zircaloy at temperatures between 50 and 850/sup 0/C and for stresses between 5 and 500 MPa. The maps predict behavior which is in agreement with a large number of experimental observations reported in the literature. Transformations in deformation and fracture mechanisms, creep rate magnitudes, and times to fracture are predicted from the maps. Results are reported for grain sizes of 5 ..mu..m. The deformation and fracture maps are altered for irradiation effects based upon high stress-high temperature, short time, postirradiation data. Maximum allowable temperature limits to achieve 40 years dry storage are calculated as a function of time spent in wet pool storage using a decaying cask temperature function and a life fraction rule. 122 references, 15 figures, 4 tables.

Chin, G.A.; Madsen, N.H.; Khan, M.A.

1983-08-01T23:59:59.000Z

400

Site Map | Advanced Photon Source  

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

Welcome Welcome Visitor Information Job Openings Apply for Beam Time Machine Status | Schedule Conferences Seminars & Meetings Publications Safety and Training Construction Schedule Find People Organization Charts Email | WebVPN | Intranet APS Conference Rooms Suggestion Box Document Central Argonne Guest House external link Argonne Accelerator Inst. external link National User Facility Org. external link lightsources.org external link Facebook Twitter YouTube Wikipedia Site Map Looking for something else? Try a site search or contact webmaster for assistance. About Welcome Overview Visiting the APS Mission and Goals Organization Charts Committees Job Openings User Information For Prospective Users For New Users For Current Users For Administrators Find a Beamline Contacts Calendars Community

Note: This page contains sample records for the topic "maps calculated actual" 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

Physical mapping of complex genomes  

DOE Patents [OSTI]

Method for simultaneous identification of overlapping cosmid clones among multiple cosmid clones and the use of the method for mapping complex genomes are provided. A library of cosmid clones that contains the DNA to be mapped is constructed and arranged in a manner such that individual clones can be identified and replicas of the arranged clones prepared. In preferred embodiments, the clones are arranged in a two dimensional matrix. In such embodiments, the cosmid clones in a row are pooled, mixed probes complementary to the ends of the DNA inserts int he pooled clones are synthesized, hybridized to a first replica of the library. Hybridizing clones, which include the pooled row, are identified. A second portion of clones is prepared by pooling cosmid clones that correspond to a column in the matrix. The second pool thereby includes one clone from the first portion pooled clones. This common clone is located on the replica at the intersection of the column and row. Mixed probes complementary to the ends of the DNA inserts in the second pooled portion of clones are prepared and hybridized to a second replica of the library. The hybridization pattern on the first and second replicas of the library are compared and cross-hybridizing clones, other than the clones in the pooled column and row, that hybridize to identical clones in the first and second replicas are identified. These clones necessarily include DNA inserts that overlap with the DNA insert int he common clone located at the intersection of the pooled row and pooled column. The DNA in the entire library may be mapped by pooling the clones in each of the rows and columns of the matrix, preparing mixed end-specific probes and hybridizing the probes from each row or column to a replica of the library. Since all clones in the library are located at the intersection of a column and a row, the overlapping clones for all clones in the library may be identified and a physical map constructed. In other preferred embodiments, the cosmid clones are arranged in a three dimensional matrix, pooled and compared in threes according to intersecting planes of the three dimensional matrix. Arrangements corresponding to geometries of higher dimensions may also be prepared and used to simultaneously identify overlapping clones in highly complex libraries with relatively few hybridization reactions.

Evans, Glen A. (Encinitas, CA)

1993-01-01T23:59:59.000Z

402

Physical mapping of complex genomes  

DOE Patents [OSTI]

A method for the simultaneous identification of overlapping cosmid clones among multiple cosmid clones and the use of the method for mapping complex genomes are provided. A library of cosmid clones that contains the DNA to be mapped is constructed and arranged in a manner such that individual clones can be identified and replicas of the arranged clones prepared. In preferred embodiments, the clones are arranged in a two dimensional matrix. In such embodiments, the cosmid clones in a row are pooled, mixed probes complementary to the ends of the DNA inserts in the pooled clones are synthesized, hybridized to a first replica of the library. Hybridizing clones, which include the pooled row, are identified. A second portion of clones is prepared by pooling cosmid clones that correspond to a column in the matrix. The second pool thereby includes one clone from the first portion pooled clones. This common clone is located on the replica at the intersection of the column and row. Mixed probes complementary to the ends of the DNA inserts in the second pooled portion of clones are prepared and hybridized to a second replica of the library. The hybridization pattern on the first and second replicas of the library are compared and cross-hybridizing clones, other than the clones in the pooled column and row, that hybridize to identical clones in the first and second replicas are identified. These clones necessarily include DNA inserts that overlap with the DNA insert in the common clone located at the intersection of the pooled row and pooled column. The DNA in the entire library may be mapped by pooling the clones in each of the rows and columns of the matrix, preparing mixed end-specific probes and hybridizing the probes from each row or column to a replica of the library. Since all clones in the library are located at the intersection of a column and a row, the overlapping clones for all clones in the library may be identified and a physical map constructed.

Evans, G.A.

1993-06-15T23:59:59.000Z

403

Calculator Tips for TI-30XA  

E-Print Network [OSTI]

TI-30XA Calculator Tips. Calculator Memory. - To use the memory function, hit the STO key to store a number in either memory 1, 2, or 3. o To store the product of ...

Owen Davis

2013-01-04T23:59:59.000Z

404

Spherical Target Temperature by Extended CFAST Calculation  

SciTech Connect (OSTI)

The purpose of this calculation is to evaluate the temperature at the surface of a spherical target made of polyethylene during a room fire. The current calculation is separated into 2 steps: (1) CFAST code calculation--Calculate the air temperature; radiation flux to the target from the fire, surrounding air, and walls; convection flux; and target temperature. (2) Extended model calculation--Calculate the temperature of the target sphere taking into account the density, heat capacity, heat conductivity, and the spherical geometry of the target by solving the coupled finite difference equations. The second step calculation utilizes the air temperature and radiation flux determined by the CFAST code calculation in the first step.

Ma, C W

2009-05-05T23:59:59.000Z

405

Building Energy Software Tools Directory: Duct Calculator  

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

Duct Calculator Duct Calculator Duct Calculator logo. Provides access to duct calculation and sizing capabilities either as a standalone Windows program or from within the Autodesk Building Mechanical, the new HVAC-oriented version of AutoCAD. Based on the engineering data and procedures outlined in the ASHRAE Fundamentals Handbook Calculation Methods, Duct Calculator features an advanced and fully interactive user interface. Slide controls for air flow, velocity, friction and duct size provide real-time, interactive feedback; as you spin one, the others dynamically respond in real time. When used with Autodesk Building Mechanical, Duct Calculator streamlines the design process by automatically re-sizing whole branches of ductwork. Screen Shots Keywords duct-sizing, design, engineering, calculation

406

Vehicle Cost Calculator | Open Energy Information  

Open Energy Info (EERE)

Vehicle Cost Calculator Vehicle Cost Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Vehicle Cost Calculator Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Transportation Phase: Evaluate Options Resource Type: Online calculator User Interface: Website Website: www.afdc.energy.gov/calc/ Web Application Link: www.afdc.energy.gov/calc/ OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Vehicle Cost Calculator[1] Logo: Vehicle Cost Calculator Calculate the total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Overview This tool uses basic information about your driving habits to calculate

407

Entanglement distillation by extendible maps  

E-Print Network [OSTI]

It is known that from entangled states that have positive partial transpose it is not possible to distill maximally entangled states by local operations and classical communication (LOCC). A long-standing open question is whether maximally entangled states can be distilled from every state with a non-positive partial transpose. In this paper we study a possible approach to the question consisting of enlarging the class of operations allowed. Namely, instead of LOCC operations we consider k-extendible operations, defined as maps whose Choi-Jamiolkowski state is k-extendible. We find that this class is unexpectedly powerful - e.g. it is capable of distilling EPR pairs even from product states. We also perform numerical studies of distillation of Werner states by those maps, which show that if we raise the extension index k simultaneously with the number of copies of the state, then the class of k-extendible operations is not that powerful anymore and provide a better approximation to the set of LOCC operations.

Lukasz Pankowski; Fernando G. S. L. Brandao; Michal Horodecki; Graeme Smith

2011-09-08T23:59:59.000Z

408

GPS Visitor Tracking and Recreation Suitability Mapping: Tools for understanding and managing visitor use  

Science Journals Connector (OSTI)

Abstract Understanding space in parks and protected areas is becoming more important as recreation and other uses in these areas change and increase. Spatial demand and space utility are of particular importance to multiple-use forests, which may have competing demands and limited acreage. For managers to balance the demands of society, maintain healthy ecosystems, and generate revenue these demands must be integrated on some level. Spatial data and analysis can help with integration; however, social science data can be difficult to integrate into spatial modeling and analysis. This study examined the integration of two mapping methods that can assist in the incorporation of social science data into spatial models: Recreation Suitability Mapping (RSM) and GPS Visitor Tracking (GVT). Visitor use preferences were spatially mapped to create recreation suitability models for competing recreation activity groups, and GPS tracking of visitor use was used to compare and contrast actual user patterns with mapped preferences. Combining RSM and GVT proved useful for informing visitor management in a small acreage, multi-use public forest experiencing high spatial demand. Theoretical, methodological, and practical implications are discussed.

J. Adam Beeco; Jeffrey C. Hallo; Matthew T.J. Brownlee

2014-01-01T23:59:59.000Z

409

Soil maps of Wisconsin Alfred E. Hartemink a,  

E-Print Network [OSTI]

Soil maps of Wisconsin Alfred E. Hartemink a, , Birl Lowery a , Carl Wacker b a University May 2012 Accepted 15 May 2012 Available online xxxx Keywords: Soil maps Historical maps Digital soil mapping Soil survey Legacy soil maps are an important input in digital soil mapping. This paper traces how

Mladenoff, David

410

www.autodesk.com/mapguideenterprise Autodesk MapGuide  

E-Print Network [OSTI]

www.autodesk.com/mapguideenterprise Autodesk MapGuide® Enterprise Mashup Autodesk Map mashups of Autodesk MapGuide® Enterprise software with Google EarthTM and Google MapsTM mapping service? ................................................................. 2 Where Does Autodesk MapGuide Enterprise Fit In

Ahmad, Sajjad

411

Audio taped explanations of freshman experimental calculations  

Science Journals Connector (OSTI)

The authors have found audio tapes to be effective replacements for live, in-lab explanations of experimental calculations.

Aline M. Harrison

1971-01-01T23:59:59.000Z

412

Making appropriate comparisons of estimated and actual costs of reducing SO{sub 2} emissions under Title IV  

SciTech Connect (OSTI)

A current sentiment within some parts of the environmental policy community is that market-based regulatory approaches such as emissions trading have proven so effective that actual costs will be only a small fraction of what ex ante cost estimation procedures would project. With this line of reasoning, some have dismissed available cost estimates for major proposed new regulations, such as the new PM and ozone NAAQS, as not meaningful for policy decisions. The most commonly used evidence in support of this position is the experience with SO{sub 2} reductions under Title IV of the 1990 Clean Air Act Amendments. In Title IV, a market for emissions allowances has been used to achieve reductions in sulfur dioxides (SO{sub 2}) to ameliorate acid rain. It is commonly asserted today that the cost of achieving the SO{sub 2} emissions reductions has been only one-tenth or less of what Title IV was originally expected to cost. This paper demonstrates that, to the contrary, actual costs for SO{sub 2} reductions remain roughly in line with original estimates associated with Title IV. Erroneous conclusions about Title IV`s costs are due to inappropriate comparisons of a variety of different measures that appear to be comparable only because they are all stated in dollars per ton. Program cost estimates include the total costs of a fully-implemented regulatory program. The very low costs of Title IV that are commonly cited today are neither directly reflective of a fully implemented Title IV, (which is still many years away) nor reflective of all the costs already incurred. Further, a careful review of history finds that the initial cost estimates that many cite were never associated with Title IV. Technically speaking, people are comparing the estimated control costs for the most-costly power plant associated with earlier acid rain regulatory proposals with prices from a market that do not directly reflect total costs.

Smith, A.E. [DFI/Aeronomics Inc., Washington, DC (United States)

1998-12-31T23:59:59.000Z

413

Calculations of Hf -electron affinity and  

E-Print Network [OSTI]

Calculations of Hf - electron affinity and photodetachment partial cross sections Lin Pan. PHYS. B 2009 #12;Calculations of Hf - electron affinity and photodetachment partial cross sections 2 1 the replacements, the subshells that are not occupied in #12;Calculations of Hf - electron affinity

Beck, Donald R.

414

Why E-government Usage Lags Behind: Explaining the Gap Between Potential and Actual Usage of Electronic Public Services in the Netherlands  

Science Journals Connector (OSTI)

Most of the EU-15 countries illustrate a gap between potential usage and actual usage of electronic public services. Using a model ... the case of current Dutch electronic governmental service usage. Motivational...

Alexander van Deursen; Jan van Dijk; Wolfgang Ebbers

2006-01-01T23:59:59.000Z

415

Method of calculation of heat generation rates for DWPF glass. Revision 1  

SciTech Connect (OSTI)

The Waste Acceptance Preliminary Specifications (WAPS) require estimates of the heat generation rate of DWPF waste glasses. Estimates of the heat generation rates of projected glass compositions are to be reported in the Waste Form Qualification Report. Similar estimates for actual production glasses are to be reported in the Production Records. In this report, a method of calculating the heat generation rate from the radionuclide inventory is provided. Application of the method to the DWPF Design-Basis glass indicates that the heat generation rate can be accurately estimated from the Sr-90, Y-90, Cs-137, Ba-137m, and Pu-238 contents alone.

Plodinec, M.J.

1992-03-17T23:59:59.000Z

416

Method of calculation of heat generation rates for DWPF glass. Revision 2  

SciTech Connect (OSTI)

The Waste Acceptance Preliminary Specifications (WAPS) require estimates of the heat generation rate of DWPF waste glasses. Estimates of the heat generation rates of projected glass compositions are to be reported in the Waste Form Qualification Report. Similar estimates for actual production glasses are to be reported in the Production Records. In this report, a method of calculating the heat generation rate from the radionuclide inventory is provided. Application of the method to the DWPF Design-Basis glass indicates that the heat generation rate can be accurately estimated from the Sr-90, Y-90, Cs-137, Ba-137m, and Pu-238 contents alone.

Plodinec, M.J.

1993-02-04T23:59:59.000Z

417

Artificial neural network based torque calculation of switched reluctance motor without locking the rotor  

Science Journals Connector (OSTI)

Feedback of motor torque is required in most of switched reluctance (SR) motor applications in order to control torque and its ripple. An SR motor shows highly nonlinear property which does not allow calculating torque analytically. Torque can be directly measured by torque sensor but it inevitably increases the cost and has to be properly mounted on the motor shaft. Instead of torque sensor finite element analysis(FEA) may be employed for torque calculation. However motor modeling and calculation takes relatively long time. The results of FEA may also differ from the actual results. The most convenient way seems to calculate torque from the measured values of rotor position current and flux linkage while locking the rotor at definite positions. However this method needs an extra assembly to lock the rotor. In this study a novel torque calculation based on artificial neural networks (ANNs) is presented. Magnetizing data are collected while a 6/4 SR motor is running. They need to be interpolated for torque calculation. ANN is very strong tool for data interpolation. ANN based torque estimation is verified on the 6/4 SR motor and is compared by FEA based torque estimation to show its validity.

Fuat Kucuk; Hiroki Goto; Hai-Jiao Guo; Osamu Ichinokura

2009-01-01T23:59:59.000Z

418

Distributed Energy Calculator | Open Energy Information  

Open Energy Info (EERE)

Distributed Energy Calculator Distributed Energy Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Distributed Energy Calculator Agency/Company /Organization: Apps for Energy Challenge Participant Sector: Energy Resource Type: Application prototype User Interface: Website Website: distributedenergycalculator.com/ OpenEI Keyword(s): Challenge Generated, Green Button Apps Language: English References: Apps for Energy[1] The Distributed Energy Calculator allows you to explore the potential energy savings for your community using Solar, Small Wind or Microturbines. The Distributed Energy Calculator allows you to explore the potential energy savings for your community using Solar, Small Wind or Microturbines. You can upload Green Button Data to compare your utility energy costs to

419

Definition: Interchange Distribution Calculator | Open Energy Information  

Open Energy Info (EERE)

Distribution Calculator Distribution Calculator Jump to: navigation, search Dictionary.png Interchange Distribution Calculator The mechanism used by Reliability Coordinators in the Eastern Interconnection to calculate the distribution of Interchange Transactions over specific Flowgates. It includes a database of all Interchange Transactions and a matrix of the Distribution Factors for the Eastern Interconnection.[1] Related Terms Reliability Coordinator, Interchange Transaction References ↑ Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Interchange_Distribution_Calculator&oldid=480261" Categories: Definitions

420

Global Analysis of Synchronization in Coupled Maps  

E-Print Network [OSTI]

We introduce a new method for determining the global stability of synchronization in systems of coupled identical maps. The method is based on the study of invariant measures. Besides the simplest non-trivial example, namely two symmetrically coupled tent maps, we also treat the case of two asymmetrically coupled tent maps as well as a globally coupled network. Our main result is the identification of the precise value of the coupling parameter where the synchronizing and desynchronizing transitions take place.

Juergen Jost; Kiran M. Kolwankar

2005-12-02T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Chalmers Climate Calculator | Open Energy Information  

Open Energy Info (EERE)

Chalmers Climate Calculator Chalmers Climate Calculator Jump to: navigation, search Tool Summary Name: Chalmers Climate Calculator Agency/Company /Organization: Chalmers University of Technology Sector: Energy, Land Topics: Baseline projection, Co-benefits assessment, GHG inventory, Pathways analysis Resource Type: Software/modeling tools User Interface: Website Website: dhcp2-pc011134.fy.chalmers.se Cost: Free Chalmers Climate Calculator Screenshot References: Chalmers Climate Calculator[1] Logo: Chalmers Climate Calculator " In the Chalmers Climate Calculator the user can decide on when and how fast emissions of CO2 are reduced and what this emissions scenario implies in terms of CO2 concentration and global average surface temperature change. The climate sensitivity and the net aerosol forcing in year 2005

422

Harmonic Analysis Errors in Calculating Dipole,  

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

Harmonic Analysis Errors in Calculating Dipole, Harmonic Analysis Errors in Calculating Dipole, Quadrupole, and Sextupole Magnets using POISSON Ro be rt J. La ri<::::R~ i. September 10, 1985 Introduction LS-32 The computer program POISSON was used to calculate the dipole, quadru- pole, and sextupole magnets of the 6 GeV electron storage ring. A trinagular mesh must first be generated by LATTICE. The triangle size is varied over the "universe" at the discretion of the user. This note describes a series of test calculations that were made to help the user decide on the size of the mesh to reduce the harmonic field calculation errors. A conformal transfor- mation of a multipole magnet into a dipole reduces these errors. Dipole Magnet Calculations A triangular mesh used to calculate a "perfect" dipole magnet is shown in

423

Site map | National Nuclear Security Administration  

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

map | National Nuclear Security Administration map | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > Site map Site map Front page Front page of National Nuclear Security Administration NNSA Site Navigation Our Mission Managing the Stockpile Stockpile Stewardship Program Quarterly Experiments Dismantlement and Disposition Weapons NPT Compliance

424

New multiplicativity results for qubit maps  

E-Print Network [OSTI]

Let $\\Phi$ be a trace-preserving, positivity-preserving (but not necessarily completely positive) linear map on the algebra of complex $2 \\times 2$ matrices, and let $\\Omega$ be any finite-dimensional completely positive map. For $p=2$ and $p \\geq 4$, we prove that the maximal $p$-norm of the product map $\\Phi \\ot \\Omega$ is the product of the maximal $p$-norms of $\\Phi$ and $\\Omega$. Restricting $\\Phi$ to the class of completely positive maps, this settles the multiplicativity question for all qubit channels in the range of values $p \\geq 4$.

Christopher King; Nilufer Koldan

2006-03-09T23:59:59.000Z

425

The split algebras and noncompact Hopf maps  

SciTech Connect (OSTI)

We develop a noncompact version of the Hopf maps based on the split algebras. The split algebras consist of three species: split-complex numbers, split quaternions, and split octonions. They correspond to three noncompact Hopf maps that represent topological maps between hyperboloids in different dimensions with hyperboloid bundle. We realize such noncompact Hopf maps in two ways: one is to utilize the split-imaginary unit, and the other is to utilize the ordinary imaginary unit. Topological structures of the hyperboloid bundles are explored, and the canonical connections are naturally regarded as noncompact gauge field of monopoles.

Hasebe, Kazuki [Department of General Education, Kagawa National College of Technology, Takuma-cho, Mitoyo city, Kagawa 769-1192 (Japan)

2010-05-15T23:59:59.000Z

426

Davies maps for qubits and qutrits  

E-Print Network [OSTI]

We investigate the dynamics of an N -level quantum system weakly coupled to a thermal reservoir. For any fixed temperature of the bath there exists a natural reference state: the equilibrium state of the system. Among all quantum operations on the system one distinguishes Davies maps, they pre- serve the equilibrium state, satisfy the detailed balance condition and belong to a semi-group. A complete characterization of the three dimensional set of qubit Davies maps is given. We analyze these maps and find their mini- mum output entropy. A characterization of Davies maps for qutrits is also provided.

Wojciech Roga; Mark Fannes; Karol Zyczkowski

2009-12-01T23:59:59.000Z

427

Online map of buildings using radiant technologies  

E-Print Network [OSTI]

data in science, technology and innovation. TechnologicalTopic D1: Smart and mobile technologies ONLINE MAP OFBUILDINGS USING RADIANT TECHNOLOGIES Caroline KARMANN 1,* ,

Karmann, Caroline; Schiavon, Stefano; Bauman, Fred

2014-01-01T23:59:59.000Z

428

A fruit quality gene map of Prunus  

E-Print Network [OSTI]

Central Open Access A fruit quality gene map of PrunusAbstract Background: Prunus fruit development, growth,and maintaining stone fruit quality from production and

Ogundiwin, Ebenezer A; Peace, Cameron P; Gradziel, Thomas M; Parfitt, Dan E; Bliss, Fredrick A; Crisosto, Carlos H

2009-01-01T23:59:59.000Z

429

Conic systems and sublinear mappings: equivalent approaches  

E-Print Network [OSTI]

May 15, 2003 ... Theorem 3.1 does not immediately transfer to sublinear mappings because .... F. Cucker, editors, Handbook of Numerical Analysis, volume XI.

2003-10-26T23:59:59.000Z

430

Energy Citations Database (ECD) - Site Map  

Office of Scientific and Technical Information (OSTI)

Site Map Home Basic Search Fielded Search Document Availability About ECD Help FAQ Contact Us Website Policies and Important Links Alerts Log On Alerts Registration Alerts Help...

431

Speech processing using maximum likelihood continuity mapping  

DOE Patents [OSTI]

Speech processing is obtained that, given a probabilistic mapping between static speech sounds and pseudo-articulator positions, allows sequences of speech sounds to be mapped to smooth sequences of pseudo-articulator positions. In addition, a method for learning a probabilistic mapping between static speech sounds and pseudo-articulator position is described. The method for learning the mapping between static speech sounds and pseudo-articulator position uses a set of training data composed only of speech sounds. The said speech processing can be applied to various speech analysis tasks, including speech recognition, speaker recognition, speech coding, speech synthesis, and voice mimicry.

Hogden, John E. (Santa Fe, NM)

2000-01-01T23:59:59.000Z

432

Testing Hyperspectral Data for Geobatanical Anomaly Mapping,...  

Open Energy Info (EERE)

Area Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Testing Hyperspectral Data for Geobatanical Anomaly Mapping, Dixie Valley, Nevada, Geothermal...

433

Communication: The correct interpretation of surface hopping trajectories: How to calculate electronic properties  

SciTech Connect (OSTI)

In a recent paper, we presented a road map for how Tully's fewest switches surface hopping (FSSH) algorithm can be derived, under certain circumstances, from the mixed quantum-classical Liouville equation. In this communication, we now demonstrate how this new interpretation of surface hopping can yield significantly enhanced results for electronic properties in nonadiabatic calculations. Specifically, we calculate diabatic populations for the spin-boson problem using FSSH trajectories. We show that, for some Hamiltonians, without changing the FSSH algorithm at all but rather simply reinterpreting the ensemble of surface hopping trajectories, we recover excellent results and remove any and all ambiguity about the initial condition problem.

Landry, Brian R.; Falk, Martin J.; Subotnik, Joseph E. [Department of Chemistry, University of Pennsylvania, 231 S. 34th Street, Philadelphia, Pennsylvania 19104 (United States)] [Department of Chemistry, University of Pennsylvania, 231 S. 34th Street, Philadelphia, Pennsylvania 19104 (United States)

2013-12-07T23:59:59.000Z

434

On Quantum Momentum Maps associated to non Ad*-equivariant Classical Momentum Maps  

E-Print Network [OSTI]

In an interesting work M.F. Muller-Bahns and N. Neumaier ("Some remarks on g-invariant Fedosov star products and quantum momentum mappings". Journal of Geometry and Physics 50 (2004), 257-272.) analyze the existence of a quantum momentum map based on the existence of a classical momentum map providing an answer to the proposal given by P. Xu in ("Fedosov *-products and quantum momentum maps". Commun. Math. Phys (1998) 167-197). In both papers only equivariant classical momentum maps are considered. In these notes, we extend Muller-Bahns and Neumaier analysis to the case of a non equivariant momentum map. In addition, we propose the notion of an anomalous quantum momentum map as an alternative to recover a non equivariant momentum map at the classical level by considering central extensions of the Lie algebra associated with non equivariance.

Maria Eugenia Garcia; Marcela Zuccalli

2009-07-28T23:59:59.000Z

435

The Map that Named America: Martin Waldseemüller’s 1507 World Map  

E-Print Network [OSTI]

as Portrayed on the 1507 World Map" (Coordinates, Series A, No. 4). A high-resolution image of the Waldseemüller map can be found at http://hdl.loc.gov/loc.gmd/g3200.ct000725C....

Hebert, John R.

2005-08-29T23:59:59.000Z

436

Geographic information systems (GIS) for geologic mapping  

SciTech Connect (OSTI)

The computer-based Geographic Information System (GIS) is a powerful and versatile tool for preparation of geologic maps. Using GIS different types of geographically oriented information can be displayed on a common base in a flexible format that facilitates examination of relationships between the types of information. In addition, text-based and graphic information (attributes) from separate databases can be attached to points, lines or areas within the different map layers. Although GIS has enormous potential for geologic mapping, it must be used with care. Key considerations when using GIS include realistic representation of the geology, choice of an appropriate scale for the maps, and comparison of the computer-generated maps with field observations to maintain quality control. In building multilayer GIS maps, the data sources must be at a scale appropriate to the intended use. Information derived from diverse sources must be examined carefully to assure that it is valid at the scale of representation required. Examples of GIS products created for one purpose, but potentially misused for a different purpose, include formation contacts (lines) on a regional geologic map scaled up for a facility siting study or well locations on a small-scale location map subsequently contoured for contaminant plume prediction at a very large scale. In using GIS to prepare geologic maps, it is essential to have a clear rationale for the map and use an appropriate scale to depict the various layers of information. The authors of GIS-based geologic maps must be aware that the attractive, polished appearance of their products may tempt some end users to stretch and misinterpret the information displayed.

Schock, S.C. (Environmental Protection Agency, Cincinnati, OH (United States). Center for Environmental Research Information)

1993-03-01T23:59:59.000Z

437

Development of pachytene FISH maps for six maize chromosomes and their integration with other maize maps  

E-Print Network [OSTI]

Development of pachytene FISH maps for six maize chromosomes and their integration with other maize maps for insights into genome structure variation Debbie M. Figueroa & Hank W. Bass Received: 13 in situ hybridization (FISH) maps were devel- oped for chromosomes 1, 3, 4, 5, 6, and 8 of maize using

Ronquist, Fredrik

438

SSCI 301L Maps and Spatial Reasoning Fall 2013 SSCI 301L MAPS AND SPATIAL REASONING  

E-Print Network [OSTI]

tools (Google, Bing Maps) to sophisticated GISystems (ArcGIS, Idrisi) and many kinds of GPS of their individual project sites, anthropologists use GIS to map the changing cultural patterns of a neighborhood, historians use GIS to map historical transformation across space, environmental scientists use GIS to track

Rohs, Remo

439

NCBI Map Viewer Tutorial NCBI's Map Viewer can be used to visualize an organism's genome and  

E-Print Network [OSTI]

.1" link. Enter GDNF as a search term and click on the "Find" button. Filter your search result for gene sapiens (human) Build 36" link. Enter PRNP as a search term. Name the chromosome on which this gene mutated. Search for "GDNF" in the Map Viewer. Access the Human Map Viewer page by clicking on the Map

Levin, Judith G.

440

Delay tails in MapReduce scheduling  

Science Journals Connector (OSTI)

MapReduce/Hadoop production clusters exhibit heavy-tailed characteristics for job processing times. These phenomena are resultant of the workload features and the adopted scheduling algorithms. Analytically understanding the delays under different schedulers ... Keywords: MapReduce, coupling scheduler, fair scheduler, first in first out, hadoop, heavy-tails, processor sharing

Jian Tan; Xiaoqiao Meng; Li Zhang

2012-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Conformal Mapping in Wing Aerodynamics Thomas Johnson  

E-Print Network [OSTI]

Conformal Mapping in Wing Aerodynamics Thomas Johnson June 4, 2013 Contents 1 Introduction 1 2 the first complete treatment of conformal mapping in aerodynamics. Near the beginning of the twentieth and aerodynamics. The purpose of this exposition is to give the reader an elementary intro- duction to the use

Morrow, James A.

442

Autodesk MapGuide Enterprise Implementation  

E-Print Network [OSTI]

Autodesk MapGuide® Enterprise Implementation Best Practices Arnab Ganguly, Neil Brooker ­ Autodesk GS310-3 Best practices for configuring and deploying Autodesk MapGuide Enterprise to create optimal performance for sites. About the Speakers: Arnab joined Autodesk 7 years ago as an applications engineer

Ahmad, Sajjad

443

A Note on Stable Harmonic Maps  

Science Journals Connector (OSTI)

......direction V, then the only stable harmonic maps f : Mm -* N" are the constant maps. Proof. Suppose that / is not constant. Then fmea 0 for at least one a at some point x e N . We observe that the contribution from f+ea to the integrand in (2) is independent......

Pui-Fai Leung

1984-04-01T23:59:59.000Z

444

Webinar: EISPC Energy Zones Mapping Tool Demonstration  

Broader source: Energy.gov [DOE]

Argonne National Laboratory has organized a webinar demonstration of the Eastern Interconnection States’ Planning Council (EISPC) Energy Zones (EZ) Mapping Tool, a free online mapping tool for identifying areas in all 39 EISPC states that may be suitable for new clean power generation. The tool is maintained by Argonne National Laboratory with funding from the U.S. Department of Energy.

445

VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1  

E-Print Network [OSTI]

VOLUMETRIC HARMONIC BRAIN MAPPING Yalin Wang1 , Xianfeng Gu2 , Tony F. Chan1 , Paul M. Thompson3 and Brain Research Institute, UCLA School of Medicine 4 Department of Mathematics, Harvard University. In this paper, we apply these two techniques to brain mapping problem. We use a tetrahedral mesh to represent

446

Canadian Atlas Map Bundle Data Creator /  

E-Print Network [OSTI]

Title: Canadian Atlas Map Bundle Data Creator / Copyright Owner: DMTI Spatial Inc. Publisher: DMTI Coverage Date(s): N/A Updates: N/A Abstract: The Canadian Atlas Map Bundle consists of the National Atlas Resources Canada (NRCan) for the National Atlas of Canada publication. Also included are DMTI's Populated

447

CONTINUOUS COFINAL MAPS ON ULTRAFILTERS NATASHA DOBRINEN  

E-Print Network [OSTI]

continuous cofinal maps if whenever an ultrafilter V is Tukey reducible to U, then there is a monotone of supporting continuous cofinal maps is inherited under Tukey reducibility. Second, we show that countable of the first part. Thus, if U is Tukey reducible to a countable iter- ation of Fubini products of p

Dobrinen, Natasha

448

WEBMAP: radiation hybrid mapping on the WWW  

Science Journals Connector (OSTI)

......synonyms in different databases. Links are made between RHdb, GeneMap, UniGene, OMIM, and Genethon. An example is the marker SHGC-12892 in GeneMap which has symbol RH9074 in RHdb, which is L25941 in EMBL, which is assigned to UniGene cluster Hs.1764......

W Newell; P Sanseau; J Riley; A Lyall

1998-10-01T23:59:59.000Z

449

Entropy Of Maps With Horizontal Gaps  

E-Print Network [OSTI]

We study the behavior of topological entropy in one-parameter families of interval maps obtained from a continuous map f by truncating it at the level depending on the parameter. When f is piecewise monotone, the entropy function has the devil's staircase structure.

Micha Misiurewicz March

450

Some Calculations for Cold Fusion Superheavy Elements  

E-Print Network [OSTI]

The Q value and optimal exciting energy of the hypothetical superheavy nuclei in cold fusion reaction are calculated with relativistic mean field model and semiemperical shell model mass equation(SSME) and the validity of the two models is tested. The fusion barriers are also calculated with two different models and reasonable results are obtained. The calculations can give useful references for the experiments in the superheavy nuclei synthesized in cold fusion reactions.

Zhong, X H; Ning, P Z

2004-01-01T23:59:59.000Z

451

Some Calculations for Cold Fusion Superheavy Elements  

E-Print Network [OSTI]

The Q value and optimal exciting energy of the hypothetical superheavy nuclei in cold fusion reaction are calculated with relativistic mean field model and semiemperical shell model mass equation(SSME) and the validity of the two models is tested. The fusion barriers are also calculated with two different models and reasonable results are obtained. The calculations can give useful references for the experiments in the superheavy nuclei synthesized in cold fusion reactions.

X. H. Zhong; L. Li; P. Z. Ning

2004-10-18T23:59:59.000Z

452

USAID Carbon Calculator | Open Energy Information  

Open Energy Info (EERE)

Logo: USAID Carbon Calculator This tool allows users to systematically estimate the CO2 benefits and consequent climate impacts of agriculture, forestry and other land use...

453

Evaluation Of Chemical Geothermometers For Calculating Reservoir...  

Open Energy Info (EERE)

Geothermometers For Calculating Reservoir Temperatures At Nevada Geothermal Power Plants Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper:...

454

Hybrid Car Calculator | Open Energy Information  

Open Energy Info (EERE)

compare hybrid electric (HEV) and conventional vehicles. The calculator includes purchase price, fuel costs, repair and maintenance costs, resale value, and applicable tax...

455

Integration of ground subsidence hazard maps of abandoned coal mines in Samcheok, Korea  

Science Journals Connector (OSTI)

Integrated techniques were developed, applied, and validated for the analysis of ground subsidence hazards by abandoned coal mines in Samcheok, Korea, using a geographic information system (GIS). Slope, depth of drift, distance from drift, groundwater level, permeability, geology, and land use were extracted or calculated from the digital elevation model, topographic, drift distribution, borehole, geologic, and land use database. By using the constructed spatial database, the relations between the ground subsidence location and seven related factors were identified and quantified by frequency ratio (FR), weights-of-evidence (WOE), logistic regression (LR), and artificial neural network (ANN) models. The relations were used as factor ratings in the overlay analysis to create ground subsidence hazard indices and maps. The four ground subsidence hazard maps were reflected as the new input factors and integrated using FR, WOE, LR, and ANN models to make a hazard map. All of the subsidence hazard maps were validated by comparison with known ground subsidence locations that were not used in the analysis. As a result, the integrated ground subsidence hazard maps used four new subsidence-related input factors that showed a greater accuracy (96.46% for FR, 97.22% for WOE, 97.20% for LR, and 96.70% for ANN, respectively), than the individual ground subsidence maps (95.54% for FR, 94.22% for WOE, 96.89% for LR, and 94.45% for ANN, respectively) using the first seven factors.

Hyun-Joo Oh; Saro Lee

2011-01-01T23:59:59.000Z

456

Chaotic Cryptographic Scheme Based on Composition Maps  

E-Print Network [OSTI]

In recent years, a growing number of cryptosystems based on chaos have been proposed. But most of them encountered many problems such as small key space and weak security. In the present paper, a new kind of chaotic cryptosystem based on Composition of Trigonometric Chaotic Maps is proposed. These maps which are defined as ratios of polynomials of degree N, have interesting properties such as invariant measure, ergodicity, variable chaotic region with respect to the control parameters and ability to construct composition form of maps. We have used a composition of chaotic map to shuffle the position of image pixels. Another composition of chaotic map is used in diffusion process. According to the performed analysis, the introduced algorithm can satisfy the required performances such as high level security, large key space and the acceptable encryption speed.

S. Behnia; A. Akhshani; A. Akhavan; H. Mahmodi

2006-06-27T23:59:59.000Z

457

NREL: International Activities - India Solar Resource Maps  

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

International Activities International Activities Search More Search Options Site Map Printable Version UPDATED India Solar Resource Maps This page provides 10-kilometer (km) solar resource maps and data for India. The 10-km hourly solar resource data were developed using weather satellite (METEOSAT) measurements incorporated into a site-time specific solar modeling approach developed at the U.S. State University of New York at Albany. The data is made publicly available in geographic information system (GIS) format and as static maps below. The hourly data can also be downloaded for specific locations from NREL's Renewable Resource Data Center. The new maps and data were released in June 2013. The new data expands the time period of analysis from 2002-2007 to 2002-2011 and incorporates

458

Calculation of radiation therapy dose using all particle Monte Carlo transport  

DOE Patents [OSTI]

The actual radiation dose absorbed in the body is calculated using three-dimensional Monte Carlo transport. Neutrons, protons, deuterons, tritons, helium-3, alpha particles, photons, electrons, and positrons are transported in a completely coupled manner, using this Monte Carlo All-Particle Method (MCAPM). The major elements of the invention include: computer hardware, user description of the patient, description of the radiation source, physical databases, Monte Carlo transport, and output of dose distributions. This facilitated the estimation of dose distributions on a Cartesian grid for neutrons, photons, electrons, positrons, and heavy charged-particles incident on any biological target, with resolutions ranging from microns to centimeters. Calculations can be extended to estimate dose distributions on general-geometry (non-Cartesian) grids for biological and/or non-biological media.

Chandler, William P. (Tracy, CA); Hartmann-Siantar, Christine L. (San Ramon, CA); Rathkopf, James A. (Livermore, CA)

1999-01-01T23:59:59.000Z

459

D0 Silicon Upgrade: ASME Code and Pressure Calculations for Liquid Nitrogen Subcooler  

SciTech Connect (OSTI)

Included in this engineering note are three separate calculation divisions. The first calculations are the determination of the required thickness of the LN{sub 2} subcooler flat head according to ASME code. This section includes Appendix A-C. The minimum plate thickness determined was 0.563 in. The actual thickness chosen in fabrication was a 3/4-inch plate milled to 0.594-inch at the bolt circle. Along with the plate thickness, this section calculates the required reinforcement area at the top plate penetrations. It was found that a 1/4-inch fillet weld at each penetration was adequate. The next set of calculations were done to prove that the subcooler internal pressure will always be less than 15 psig and therefore will not be classified as a pressure vessel. The subcooler is always open to a vent pipe. Appendix D calculations show that the vent pipe has a capacity of 1042 lbs/hr if 15 psig is present at the subcooler. It goes on to show that the inlet piping would at that flow rate, see a pressure drop of 104 psig. The maximum supply pressure of the LN{sub 2} storage dewar is 50 psig. Appendix E addresses required flow rates for steady state, loss of vacuum, or fire conditions. Page E9 shows a summary which states the maximum pressure would be 1.50 psig at fire conditions and internal pressure.

Kuwazaki, Andrew; Leicht, Todd; /Fermilab

1995-10-04T23:59:59.000Z

460

Mapping the global digital divide  

Science Journals Connector (OSTI)

The global digital divide as a concept is intuitively understood by most academicians, politicians and public policy makers. However, to date little empirical work exists to explain differences in per country access to information and communication technologies (ICTs). The research that does exist places heavy influence on the impact of country wealth, as measured by gross domestic product (GDP) per capita, on the diffusion of ICTs. While GDP per capita certainly influences the diffusion of ICTs within a country, it is not the sole determinant of a country's location versus other countries vis-a-vis the global digital divide. To investigate and map the global digital divide, as it currently exists, the authors utilise model-based cluster analysis to determine cohorts of countries based on three variables: personal computers per 100 population, internet users per 100 population and internet bandwidth per person. The results indicate that the global digital divide consists of four tiers. And although all of the developed countries are included in the first tier, some surprising results are obtained. Implications of the results are discussed and directions for future research are provided.

D. Steven White; Angappa Gunasekaran; Timothy P. Shea; Godwin C. Ariguzo

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Geometric aspects of scaling limits of random planar maps  

E-Print Network [OSTI]

Geometric aspects of scaling limits of random planar maps G. Miermont Fondation des Sciences of random planar maps CCF'08 1 / 18 #12;Planar maps Definition A planar map is a proper embedding of the sphere. One is interested in the properties of various families of maps. Familiar ones are triangulations

Miermont, Grégory

462

Migrating to Autodesk MapGuide Enterprise 2008  

E-Print Network [OSTI]

Migrating to Autodesk MapGuide® Enterprise 2008 Gordon Luckett ­ Arrow Geomatics Inc. GS318-2 This class focuses on moving existing Autodesk MapGuide 6.5 sites to Autodesk MapGuide Enterprise (or Open, and the author of the official Autodesk MapGuide and AutoCAD Map 3D courseware. Gordon works with many

Ahmad, Sajjad

463

Title: City of Toronto Property Data Maps Data Creator /  

E-Print Network [OSTI]

the Map and GIS Librarian (gislib@yorku.ca). When requesting PDM maps, please supply the PDM map numbers that you will be s are required to sign a data release and license agreement form. Contact: Map and GISTitle: City of Toronto Property Data Maps Data Creator / Copyright Owner: City of Toronto Survey

464

China 2050 Pathways Calculator | Open Energy Information  

Open Energy Info (EERE)

China 2050 Pathways Calculator China 2050 Pathways Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: China 2050 Pathways Calculator Agency/Company /Organization: China's Energy Research Institute (ERI), UK Department of Energy and Climate Change (DECC), UK Foreign and Commonwealth Office (FCO) Focus Area: Non-renewable Energy, Renewable Energy Phase: Evaluate Options, Prepare a Plan Topics: Low-carbon plans/TNAs/NAMAs, Resource assessment, Pathways analysis Resource Type: Guide/manual, Training materials, Lessons learned/best practices, Online calculator User Interface: Website Website: china-en.2050calculator.net/pathways/111011011011101101011010111101101 Country: China OpenEI Keyword(s): International Eastern Asia Language: English References: Global Energy Governance Reform, 3 October 2012[1]

465

CUFR Tree Carbon Calculator | Open Energy Information  

Open Energy Info (EERE)

CUFR Tree Carbon Calculator CUFR Tree Carbon Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CUFR Tree Carbon Calculator Agency/Company /Organization: United States Forest Service Sector: Climate, Land Focus Area: Forestry Phase: Determine Baseline, Evaluate Options Topics: GHG inventory, Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.fs.fed.us/ccrc/topics/urban-forests/ctcc/ Cost: Free Language: English References: CUFR Tree Carbon Calculator[1] Overview "The CUFR Tree Carbon Calculator is the only tool approved by the Climate Action Reserve's Urban Forest Project Protocol for quantifying carbon dioxide sequestration from GHG tree planting projects. The CTCC is programmed in an Excel spreadsheet and provides carbon-related information

466

Campus Carbon Calculator | Open Energy Information  

Open Energy Info (EERE)

Campus Carbon Calculator Campus Carbon Calculator Jump to: navigation, search Tool Summary Name: Campus Carbon Calculator Agency/Company /Organization: Clean Air-Cool Planet Phase: Create a Vision, Determine Baseline, Develop Goals User Interface: Spreadsheet Website: www.cleanair-coolplanet.org/toolkit/inv-calculator.php The Campus Carbon Calculator(tm), Version 6.4, is now available for download. Version 6.4 includes new features, updates and corrections - including greatly expanded projection and solutions modules, designed to aid schools that have completed greenhouse gas inventories in developing long term, comprehensive climate action plans based on those inventories. The new modules facilitate analysis of carbon reduction options, determining project payback times, net present value, cost per ton reduced,

467

Unimolecular decomposition of methyltrichlorosilane: RRKM calculations  

SciTech Connect (OSTI)

Based on reaction thermochemistry and estimates of Arrhenius A-factors, it is expected that Si-C bond cleavage, C-H bond cleavage, and HCl elimination will be the primary channels for the unimolecular decomposition of methyltrichlorosilane. Using RRKM theory, we calculated rate constants for these three reactions. The calculations support the conclusion that these three reactions are the major decomposition pathways. Rate constants for each reaction were calculated in the high-pressure limit (800--1500 K) and in the falloff regime (1300--1500 K) for bath gases of both helium and hydrogen. These calculations thus provide branching fractions as well as decomposition rates. We also calculated bimolecular rate constants for the overall decomposition in the low-pressure limit. Interesting and surprising kinetic behavior of this system and the individual reactions is discussed. The reactivity of this chlorinated organosilane is compared to that of other organosilanes.

Osterheld, T.H.; Allendorf, M.D.; Melius, C.F.

1993-06-01T23:59:59.000Z

468

ACTUAL-WASTE TESTS OF ENHANCED CHEMICAL CLEANING FOR RETRIEVAL OF SRS HLW SLUDGE TANK HEELS AND DECOMPOSITION OF OXALIC ACID  

SciTech Connect (OSTI)

Savannah River National Laboratory conducted a series of tests on the Enhanced Chemical Cleaning (ECC) process using actual Savannah River Site waste material from Tanks 5F and 12H. Testing involved sludge dissolution with 2 wt% oxalic acid, the decomposition of the oxalates by ozonolysis (with and without the aid of ultraviolet light), the evaporation of water from the product, and tracking the concentrations of key components throughout the process. During ECC actual waste testing, the process was successful in decomposing oxalate to below the target levels without causing substantial physical or chemical changes in the product sludge.

Martino, C.; King, W.; Ketusky, E.

2012-01-12T23:59:59.000Z

469

Lawrence Livermore National Laboratory: Site Map  

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

Site Map Site Map About LLNL What we do How we do it Our Values Organization Management and Sponsors Publications History Organizations Global Security National Ignition Facility Operations Safety & Security Science & Technology Weapons & Complex Integration Visiting LLNL Maps & Directions Badging Discovery Center Site Tours Current Weather Protocol Office Where to stay Tri-Valley Visitors Bureau City of Livermore News News Center For Reporters Social Media & Multimedia Publication Science and Technology Review Lab Report News Releases Around the Lab Community Discovery Center Site Tours Community giving Corporate giving Environmental information Community Center Contacts Discover LLNL Newsletter Volunteer Opportunities Education Internships Postdocs K - 12 Outreach Site Tours School Tours

470

Explicit regulator maps on polylogarithmic motivic complexes.  

E-Print Network [OSTI]

We define a regulator map from the weight n polylogarithmic motivic complex to the weight n Deligne complex of an algebraic variety X. The regulator map is constructed explicitly via the classical polylogarithms with some funny combinations of Bernoulli numbers as coefficients. This leads to conjectures on special values of L-functions at s=n which reduce to Zagier's conjecture when X is of dimension zero over Q. The cone of this map, shifted by one, should be called the Arakelov motivic complex of X. Its last cohomology group is identified with a group of codimension n Arakelov cycles on X.

A. B. Goncharov

471

Comparison Of Hybrid Methods For Global Variance Reduction In Shielding Calculations  

SciTech Connect (OSTI)

For Monte Carlo shielding problems that calculate a mesh tally over the entire problem, the relative uncertainties computed for each voxel can vary widely. This can lead to unacceptably long run times in order to reduce the uncertainties in all areas of the problem to a reasonably low level. Hybrid methods using estimates from deterministic calculations to create importance maps for variance reduction in Monte Carlo calculations have been successfully used to optimize the calculation of specific tallies. For the global problem, several methods have been proposed that create importance maps that distribute Monte Carlo particles in such a way as to achieve a more uniform distribution of relative uncertainty across the problem. The goal is to compute a mesh tally with nearly the same relative uncertainties in the low flux/dose areas as in the high flux/dose areas. Methods based on only forward deterministic estimates and methods using both forward and adjoint deterministic methods have been implemented the SCALE/MAVRIC package and have been compared against each other by computing global mesh tallies on several representative shielding problems. Methods using both forward and adjoint estimates provide better performance for computing more uniform relative uncertainties across a global mesh tally.

Peplow, Douglas E. [ORNL

2013-01-01T23:59:59.000Z

472

Stakeholder Engagement and Outreach: Wind Resource Maps and Anemometer Loan  

Wind Powering America (EERE)

Maps & Data Maps & Data Printable Version Bookmark and Share Utility-Scale Land-Based Maps Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Wind Resource Maps and Anemometer Loan Program Data The Stakeholder Engagement and Outreach initiative provides wind maps and validation to help states and regions build capacity to support and accelerate wind energy deployment. Read about the available wind maps for utility-, community-, and residential-scale wind development. A wind resource map of the United States showing land-based with offshore resources. The Energy Department, the National Renewable Energy Laboratory, and AWS Truepower provide the wind resource map that shows land-based with offshore resources. This map is the first to provide wind developers and policy

473

Advancement of cotton (Gossypium) radiation hybrid mapping tools  

E-Print Network [OSTI]

The assembly of a robust structural genomics system requires the development and integration of multiple types of genome maps. This research focused on the development of a relatively new means of plant genome mapping, radiation hybrid mapping...

Todd, Steven Michael

2009-05-15T23:59:59.000Z

474

Study of the OCS6 Lattice Using Frequency Maps  

E-Print Network [OSTI]

Frequency maps for the OCS5 and OCS6Frequency maps for the OCS6 lattice for a tune of Q x =tunes. . . . . . . . . Frequency maps for the OCS6 lattice

Reichel, Ina

2007-01-01T23:59:59.000Z

475

GLAMM: Genome-Linked Application for Metabolic Maps  

E-Print Network [OSTI]

Using KEGG Atlas and Google Maps API. PLoS ONE, 4, e7710. 4.Application for Metabolic Maps John T. Bates 1,2 , DylanApplication for Metabolic Maps (GLAMM) is a unified web

Bates, John

2013-01-01T23:59:59.000Z

476

Workforce Training for the Electric Power Sector: Map of Projects...  

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

Map of Projects Workforce Training for the Electric Power Sector: Map of Projects Map showing the number of projects awarded in each State through the Workforce Training for the...

477

Widget:GoogleAreaMap | Open Energy Information  

Open Energy Info (EERE)

- The height of the map to display, in px. (default: 300) Dependencies Google Maps API v3 Usage Widget:GoogleAreaMap |titleSample Area |coordsNE36.2381, -117.6827...

478

Interpretive geothermal heat flow map of Colorado | Open Energy...  

Open Energy Info (EERE)

Interpretive geothermal heat flow map of Colorado Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: Interpretive geothermal heat flow map of ColoradoInfo...

479

Foodborne Illness Cost Calculator | Data.gov  

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

Foodborne Illness Cost Calculator Foodborne Illness Cost Calculator Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Foodborne Illness Cost Calculator Dataset Summary Description The calculator provides information on the assumptions behind foodborne illness cost estimates and gives you a chance to make your own assumptions and calculate your own cost estimates. This interactive web-based tool allows users to estimate the cost of illness due to specific foodborne pathogens. The updated ERS cost estimate for Shiga-toxin producing E. coli O157 (STEC O157) was added to the Calculator in spring, 2008. Calculator users can now review and change the assumptions behind the ERS cost estimates for either STEC O157 or Salmonella. The assumptions that can be modified include the annual number of cases, the distribution of cases by severity, the use or costs of medical care, the amount or value of time lost from work, the costs of premature death, and the disutility costs for nonfatal cases. Users can also update the cost estimate for inflation for any year from 1997 to 2007.

480

Emergency Doses (ED) - Revision 3: A calculator code for environmental dose computations  

SciTech Connect (OSTI)

The calculator program ED (Emergency Doses) was developed from several HP-41CV calculator programs documented in the report Seven Health Physics Calculator Programs for the HP-41CV, RHO-HS-ST-5P (Rittman 1984). The program was developed to enable estimates of offsite impacts more rapidly and reliably than was possible with the software available for emergency response at that time. The ED - Revision 3, documented in this report, revises the inhalation dose model to match that of ICRP 30, and adds the simple estimates for air concentration downwind from a chemical release. In addition, the method for calculating the Pasquill dispersion parameters was revised to match the GENII code within the limitations of a hand-held calculator (e.g., plume rise and building wake effects are not included). The summary report generator for printed output, which had been present in the code from the original version, was eliminated in Revision 3 to make room for the dispersion model, the chemical release portion, and the methods of looping back to an input menu until there is no further no change. This program runs on the Hewlett-Packard programmable calculators known as the HP-41CV and the HP-41CX. The documentation for ED - Revision 3 includes a guide for users, sample problems, detailed verification tests and results, model descriptions, code description (with program listing), and independent peer review. This software is intended to be used by individuals with some training in the use of air transport models. There are some user inputs that require intelligent application of the model to the actual conditions of the accident. The results calculated using ED - Revision 3 are only correct to the extent allowed by the mathematical models. 9 refs., 36 tabs.

Rittmann, P.D.

1990-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

IAEA sodium void reactivity benchmark calculations  

SciTech Connect (OSTI)

In this paper, the IAEA-1 992 ``Benchmark Calculation of Sodium Void Reactivity Effect in Fast Reactor Core`` problem is evaluated. The proposed design is a large axially heterogeneous oxide-fueled fast reactor as described in Section 2; the core utilizes a sodium plenum above the core to enhance leakage effects. The calculation methods used in this benchmark evaluation are described in Section 3. In Section 4, the calculated core performance results for the benchmark reactor model are presented; and in Section 5, the influence of steel and interstitial sodium heterogeneity effects is estimated.

Hill, R.N.; Finck, P.J.

1992-12-01T23:59:59.000Z

482

IAEA sodium void reactivity benchmark calculations  

SciTech Connect (OSTI)

In this paper, the IAEA-1 992 Benchmark Calculation of Sodium Void Reactivity Effect in Fast Reactor Core'' problem is evaluated. The proposed design is a large axially heterogeneous oxide-fueled fast reactor as described in Section 2; the core utilizes a sodium plenum above the core to enhance leakage effects. The calculation methods used in this benchmark evaluation are described in Section 3. In Section 4, the calculated core performance results for the benchmark reactor model are presented; and in Section 5, the influence of steel and interstitial sodium heterogeneity effects is estimated.

Hill, R.N.; Finck, P.J.

1992-01-01T23:59:59.000Z

483

Spreadsheet Based Scaling Calculations and Membrane Performance  

SciTech Connect (OSTI)

Many membrane element manufacturers provide a computer program to aid buyers in the use of their elements. However, to date there are few examples of fully integrated public domain software available for calculating reverse osmosis and nanofiltration system performance. The Total Flux and Scaling Program (TFSP), written for Excel 97 and above, provides designers and operators new tools to predict membrane system performance, including scaling and fouling parameters, for a wide variety of membrane system configurations and feedwaters. The TFSP development was funded under EPA contract 9C-R193-NTSX. It is freely downloadable at www.reverseosmosis.com/download/TFSP.zip. TFSP includes detailed calculations of reverse osmosis and nanofiltration system performance. Of special significance, the program provides scaling calculations for mineral species not normally addressed in commercial programs, including aluminum, iron, and phosphate species. In addition, ASTM calculations for common species such as calcium sulfate (CaSO{sub 4}{times}2H{sub 2}O), BaSO{sub 4}, SrSO{sub 4}, SiO{sub 2}, and LSI are also provided. Scaling calculations in commercial membrane design programs are normally limited to the common minerals and typically follow basic ASTM methods, which are for the most part graphical approaches adapted to curves. In TFSP, the scaling calculations for the less common minerals use subsets of the USGS PHREEQE and WATEQ4F databases and use the same general calculational approach as PHREEQE and WATEQ4F. The activities of ion complexes are calculated iteratively. Complexes that are unlikely to form in significant concentration were eliminated to simplify the calculations. The calculation provides the distribution of ions and ion complexes that is used to calculate an effective ion product ''Q.'' The effective ion product is then compared to temperature adjusted solubility products (Ksp's) of solids in order to calculate a Saturation Index (SI) for each solid of interest. The SI is expressed as a log value (log(Q) - log(Ksp)) where positive values indicate potential scaling conditions. As this is an unprotected spreadsheet, the methodology is plainly visible to and readily modified by the user.

Wolfe, T D; Bourcier, W L; Speth, T F

2000-12-28T23:59:59.000Z

484

Variations in Map Products Demonstrated During the FRMAC Fukushima Daiichi Response  

SciTech Connect (OSTI)

This presentation provides a brief summary of the Fukushima Daiichi disaster, discussion on map uses and production, early phase maps, intermediate phase maps, and late phase maps.

Pemberton, W. J.

2012-04-03T23:59:59.000Z

485

PPPL Area Map | Princeton Plasma Physics Lab  

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

PPPL Area Map PPPL Area Map Screen reader users: click here for plain HTML Go to Google Maps Home PPPL, Stellarator Road, Princeton, NJ Loading... Map Sat Ter Did you mean a different: Did you mean a different: Did you mean a different: Add Destination - Show options Hide options Get Directions Note: Public transit coverage may not be available in this area. PPPL, Stellarator Road, Princeton, NJ A Princeton Plasma Physics Laboratory Photo 100 Stellarator Rd, Plainsboro Township, NJ ‎ (609) 243-2000 () ‎ · pppl.gov 2 reviews · fusion science · lyman spitzer · ncsx · evolution "Princeton University Princeton Plasma Physics Laboratory P.O. Box 451. Princeton, NJ 08543-0451. GPS: 100 Stellarator Road Princeton, NJ, 08540 (609) 243-2000" - pppl.gov B James Forrestal Campus of Princeton University

486

ARM - Campaign Instrument - synoptic-maps  

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

govInstrumentssynoptic-maps Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : National Climatic Data Center...

487

Mapping software: Are we nearing standardization?  

Science Journals Connector (OSTI)

As software technologies advance, the software community uses the newest and most powerful technology and associated notations. However, mapping software with a set of notations that would survive the test of time is becoming increasingly ...

Bakul Banerjee

2000-01-01T23:59:59.000Z

488

Quantitative Assessment of Robot-generated Maps  

SciTech Connect (OSTI)

Mobile robotic mapping is now considered to be a sufficiently mature field with demonstrated successes in various domains. While much progress has been made in the development of computationally efficient and consistent mapping schemes, it is still murky, at best, on how these maps can be evaluated. We are motivated by the absence of an accepted standard for quantitatively measuring the performance of robotic mapping systems against user-defined requirements. It is our belief that the development of standardized methods for quantitatively evaluating existing robotic technologies will improve the utility of mobile robots in already established application areas, such as vacuum cleaning, robot surveillance, and bomb disposal. This approach will also enable the proliferation and acceptance of such technologies in emerging markets. This chapter summarizes our preliminary efforts by bringing together the research community towards addressing this important problem which has ramifications not only from researchers perspective but also from consumers, robot manufacturers, and developers viewpoints.

Scrapper, Chris [National Institute of Standards and Technology (NIST); Madhavan, Raj [ORNL; Lakaemper, Rolf [Temple University

2009-01-01T23:59:59.000Z

489

Title: ESRI Data and Maps Data Creator /  

E-Print Network [OSTI]

(east), 90 (north), -90 (south) Index Map: N/A Keywords (Place): World, North America, Central America, Europe, Canada, Germany, Mexico, United States of America Keywords (Subject): Boundaries, Political

490

6.20 Mapping Human Brain Function  

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

0 612011 6.20 Mapping Human Brain Function Many mysteries of the human brain have been unraveled by positron emission tomography (PET), an imaging tool used worldwide to diagnose...

491

Career Map: Attorney | Department of Energy  

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

Attorney Career Map: Attorney A smiling female attorney stands by the window in a high rise building, with a view of the other buildings outside. Attorney Position Title Attorney...

492

Gis Technology in Mapping Landslide Hazard  

Science Journals Connector (OSTI)

In the recent years, the ever-increasing diffusion of GIS technology has facilitated the application of quantitative ... potential of such technological advancements, landslide hazard mapping remains a major, lar...

Alberto Carrara; Mauro Cardinali…

1995-01-01T23:59:59.000Z

493

Potential Yield Mapping of Dedicated Energy Crops  

Broader source: Energy.gov [DOE]

Breakout Session 1B—Integration of Supply Chains I: Breaking Down Barriers Potential Yield Mapping of Dedicated Energy Crops Chris Daly, Director, PRISM Climate Group, Oregon State University

494

GIS by ESRITM Understanding Map Projections  

E-Print Network [OSTI]

GIS by ESRITM Understanding Map Projections Melita Kennedy and Steve Kopp #12;Copyright © 19942000 in the European Community. ArcInfo, ArcGIS, GIS by ESRI, and the ESRI Press logo are trademarks of Environmental

Ahmad, Sajjad

495

HCEI Road Map: 2011 Edition (Brochure)  

Office of Energy Efficiency and Renewable Energy (EERE)

This road map outlines the 2011 key goals and strategies of the Hawaii Clean Energy Initiative, was founded based on a Memorandum of Understanding between the State of Hawaii and the U.S. Department of Energy in 2008.

496

CCRS Landcover Maps From Satellite Data  

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

The Canadian Centre for Remote Sensing (CCRS) presents several landcover maps over the SGP CART site area (32-40N, 92-102W) derived from satellite data including AVHRR, MODIS, SPOT vegetation data, and Landsat satellite TM imagery.

Trishchenko, Alexander

497

Dual spatial maps of transcript and protein abundance in the...  

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

Dual spatial maps of transcript and protein abundance in the mouse brain. Dual spatial maps of transcript and protein abundance in the mouse brain. Abstract: Integrating...

498

Accuracy Assessment for Forest and Land Use Maps (English version...  

Open Energy Info (EERE)

Accuracy Assessment for Forest and Land Use Maps (English version) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Accuracy Assessment for Forest and Land Use Maps...

499

The Impact of Using Derived Fuel Consumption Maps to Predict...  

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

The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the...

500

Going Mental: Everyday Travel and the Cognitive Map  

E-Print Network [OSTI]

and Tommy Gärling. 2004. “Cognitive Maps and Urban Travel,”Technologies and the Cognitive Walking Experience,” WalkingForthcoming. Regardless, cognitive mapping and spatial

Mondschein, Andrew; Blumenberg, Evelyn; Taylor, Brian D.

2013-01-01T23:59:59.000Z