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1

Sanyal Temperature Classification | Open Energy Information  

Open Energy Info (EERE)

Sanyal Temperature Classification Sanyal Temperature Classification Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification The information for this page was taken directly from Subir Sanyal's paper, Classification of Geothermal Systems: A Possible Scheme (Stanford, February 2, 2005) At the request of the United States Department of Energy, the author was asked by the Geothermal Energy Association (Washington, D.C.) to prepare a white paper on the subject (in connection with a new national assessment of geothermal resources). This paper offers a possible scheme in which geothermal resources are classified into seven categories based on temperature. This scheme is based not only on temperature but also according to a set of additional attributes important for practical utilization of geothermal

2

Category:Sanyal Temperature Classification | 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 Category Edit History Facebook icon Twitter icon » Category:Sanyal Temperature Classification Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Category:Sanyal Temperature Classification Geothermalpower.jpg Looking for the Sanyal Temperature Classification page? For detailed information on Sanyal Temperature Classification, click here. Pages in category "Sanyal Temperature Classification" The following 7 pages are in this category, out of 7 total. E Extremely Low Temperature H High Temperature L Low Temperature M Moderate Temperature S Steam Field U Ultra High Temperature V Very Low Temperature Retrieved from

3

Property:SanyalTempWellhead | Open Energy Information  

Open Energy Info (EERE)

SanyalTempWellhead SanyalTempWellhead Jump to: navigation, search Property Name SanyalTempWellhead Property Type Page Description see Sanyal_Temperature_Classification Allows Values Extremely Low Temperature;Very Low Temperature;Low Temperature;Moderate Temperature;High Temperature;Ultra High Temperature;Steam Field Pages using the property "SanyalTempWellhead" Showing 25 pages using this property. A Amedee Geothermal Area + Extremely Low Temperature + B Beowawe Hot Springs Geothermal Area + Moderate Temperature + Blue Mountain Geothermal Area + Moderate Temperature + Brady Hot Springs Geothermal Area + Low Temperature + C Chena Geothermal Area + Extremely Low Temperature + Coso Geothermal Area + High Temperature + D Desert Peak Geothermal Area + Moderate Temperature +

4

Property:SanyalTempReservoir | Open Energy Information  

Open Energy Info (EERE)

SanyalTempReservoir SanyalTempReservoir Jump to: navigation, search Property Name SanyalTempReservoir Property Type Page Description see Sanyal_Temperature_Classification Allows Values Extremely Low Temperature;Very Low Temperature;Low Temperature;Moderate Temperature;High Temperature;Ultra High Temperature;Steam Field Pages using the property "SanyalTempReservoir" Showing 16 pages using this property. A Amedee Geothermal Area + Very Low Temperature + B Beowawe Hot Springs Geothermal Area + Moderate Temperature + Blue Mountain Geothermal Area + High Temperature + C Chena Geothermal Area + Very Low Temperature + D Desert Peak Geothermal Area + Moderate Temperature + K Kilauea East Rift Geothermal Area + High Temperature + L Lightning Dock Geothermal Area + High Temperature +

5

Isotope Geothermometry | Open Energy Information  

Open Energy Info (EERE)

Isotope Geothermometry Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Isotope Geothermometry Details Activities (0) Areas (0) Regions (0)...

6

Category:Geothermometry | Open Energy Information  

Open Energy Info (EERE)

following 2 subcategories, out of 2 total. G Gas Geothermometry 1 pages I Isotope Geothermometry 1 pages Pages in category "Geothermometry" The following 4 pages...

7

Geothermometry At Socorro Mountain Area (Armstrong, Et Al., 1995) | Open  

Open Energy Info (EERE)

Geothermometry At Socorro Mountain Area (Armstrong, Et Al., 1995) Geothermometry At Socorro Mountain Area (Armstrong, Et Al., 1995) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Socorro Mountain Area (Armstrong, Et Al., 1995) Exploration Activity Details Location Socorro Mountain Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Corresponding Socorro caldera Carboniferous rocks were studied in the field in 1988-1992-Renault later completed geochemistry and silica-crystallite geothermometry, Armstrong petrographic analysis and cathodoluminescence, Oscarson SEM studies, and John Repetski (USGS, Reston, Virgina) conodont stratigraphy and color and textural alteration as guides to the carbonate rocks' thermal history. The carbonate-rock classification used in this

8

Geothermometry | Open Energy Information  

Open Energy Info (EERE)

Geothermometry Geothermometry Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Geothermometry Details Activities (65) Areas (48) Regions (5) NEPA(0) Exploration Technique Information Exploration Group: Geochemical Techniques Exploration Sub Group: Geochemical Data Analysis Parent Exploration Technique: Geochemical Data Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: used to estimate reservoir temperatures Cost Information Low-End Estimate (USD): 30.003,000 centUSD 0.03 kUSD 3.0e-5 MUSD 3.0e-8 TUSD / sample Median Estimate (USD): 30.003,000 centUSD 0.03 kUSD 3.0e-5 MUSD 3.0e-8 TUSD / sample High-End Estimate (USD): 30.003,000 centUSD 0.03 kUSD 3.0e-5 MUSD 3.0e-8 TUSD / sample Dictionary.png Geothermometry:

9

Category:Gas Geothermometry | Open Energy Information  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Gas Geothermometry page? For detailed information on Gas Geothermometry as exploration...

10

Gas Geothermometry | Open Energy Information  

Open Energy Info (EERE)

Gas Geothermometry Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geochemical Techniques Exploration Sub Group:...

11

Geothermometry At Nevada Test And Training Range Area (Sabin...  

Open Energy Info (EERE)

Geothermometry At Nevada Test And Training Range Area (Sabin, Et Al., 2004) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At...

12

Geothermometry At Blackfoot Reservoir Area (Hutsinpiller & Parry...  

Open Energy Info (EERE)

Activity Date Usefulness useful DOE-funding Unknown References Amy Hutsinpiller, W. T. Parry (1985) Geochemistry And Geothermometry Of Spring Water From The Blackfoot...

13

Colorado thermal spring water geothermometry (public dataset...  

Open Energy Info (EERE)

dataset) Jump to: navigation, search OpenEI Reference LibraryAdd to library General: Colorado thermal spring water geothermometry (public dataset) Abstract The zipped Excel file...

14

Category:Isotope Geothermometry | Open Energy Information  

Open Energy Info (EERE)

Login | Sign Up Search Category Edit History Facebook icon Twitter icon Category:Isotope Geothermometry Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home...

15

Definition: Geothermometry | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Geothermometry Jump to: navigation, search Dictionary.png Geothermometry Chemical geothermometers are used to estimate reservoir temperatures for most of the systems. The geothermometers are based on temperature- dependent, water-rock reactions which control the chemical and isotopic composition of the thermal water. This method is applicable only to hot-water systems because the common chemical constituents of thermal water (SiO2, Na, K, Ca, Mg, Cl, HCO3, and CO3) are soluble in liquid water but lack significant solubility in steam.[1] View on Wikipedia Wikipedia Definition Geothermobarometry is the science of measuring the previous pressure and temperature history of a metamorphic or intrusive igneous rocks.

16

Grid Security and Integration with Minimal Performance Degradation Sugata Sanyal  

E-Print Network (OSTI)

Grid Security and Integration with Minimal Performance Degradation Sugata Sanyal School of computational grids becoming a reality. However, the question of grid security remains one of the important open research issues. Here, we present some novel ideas about how to implement grid security, without

Sanyal, Sugata

17

Geothermometry At Akutan Fumaroles Area (Kolker, Et Al., 2010) | Open  

Open Energy Info (EERE)

Akutan Fumaroles Area (Kolker, Et Al., 2010) Akutan Fumaroles Area (Kolker, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Akutan Fumaroles Area (Kolker, Et Al., 2010) Exploration Activity Details Location Akutan Fumaroles Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes The chemistry of the hot springs strongly suggests the existence of a neutral chloride reservoir with economically developable temperature. The fluid geothermometry tells a consistent story, with cation geothermometry detecting a >210degrees C reservoir temperature, probably near the fumarole, and silica geothermometry and presence of sinter suggesting that 160 to 180degrees C exists close to hot spring B. References

18

Geothermometry At Honokowai Area (Thomas, 1986) | Open Energy Information  

Open Energy Info (EERE)

Geothermometry At Honokowai Area (Thomas, 1986) Geothermometry At Honokowai Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Honokowai Area (Thomas, 1986) Exploration Activity Details Location Honokowai Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Temperature and groundwater chemistry analyses were performed on three wells along the alluvial fan above Honokowai. Water temperatures were approximately 20degrees C and normal basal aquifer water chemistry was observed (Table 4). References Donald M. Thomas (1 January 1986) Geothermal Resources Assessment In Hawaii Retrieved from "http://en.openei.org/w/index.php?title=Geothermometry_At_Honokowai_Area_(Thomas,_1986)&oldid=387033"

19

Geothermometry At Fish Lake Valley Area (DOE GTP) | Open Energy...  

Open Energy Info (EERE)

Fish Lake Valley Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Fish Lake Valley Area (DOE GTP) Exploration...

20

Geothermometry At Gabbs Alkali Flat Area (Kratt, Et Al., 2008...  

Open Energy Info (EERE)

Alkali Flat Area (Kratt, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Gabbs Alkali Flat Area (Kratt, Et Al.,...

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Geothermometry At Teels Marsh Area (Coolbaugh, Et Al., 2006)...  

Open Energy Info (EERE)

Coolbaugh, Et Al., 2006) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Teels Marsh Area (Coolbaugh, Et Al., 2006) Exploration...

22

Geothermometry At Rhodes Marsh Area (Coolbaugh, Et Al., 2006...  

Open Energy Info (EERE)

Coolbaugh, Et Al., 2006) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Rhodes Marsh Area (Coolbaugh, Et Al., 2006)...

23

Geothermometry At Fort Bliss Area (DOE GTP) | Open Energy Information  

Open Energy Info (EERE)

Fort Bliss Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Fort Bliss Area (DOE GTP) Exploration Activity...

24

Geothermometry At Coso Geothermal Area (1978) | Open Energy Information  

Open Energy Info (EERE)

Geothermometry At Coso Geothermal Area (1978) Geothermometry At Coso Geothermal Area (1978) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Coso Geothermal Area (1978) Exploration Activity Details Location Coso Geothermal Area Exploration Technique Geothermometry Activity Date 1978 Usefulness useful DOE-funding Unknown Exploration Basis Determine fluid origin in two exploratory wells Notes Collected water from original coso hot springs well (1967) and CGEH No. 1. and completed chemical analysis to determine fluid origin. The surface expression of fumarole and acid sulfate pools and shallow steam wells gives a false indication of an extensive vapor dominated system because upward convecting, boiling alkaline-chloride waters do not reach the surface.

25

Geothermometry At Haleakala Volcano Area (Thomas, 1986) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Haleakala Volcano Area (Thomas, 1986) Geothermometry At Haleakala Volcano Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Haleakala Volcano Area (Thomas, 1986) Exploration Activity Details Location Haleakala Volcano Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes The field survey program on the northwest rift zone consisted of soil mercury and radon emanometry surveys, groundwater temperature and chemistry studies, Schlumberger resistivity soundings and self-potential profiles. Geophysical and geochemical surveys along this rift (southwest) were limited by difficult field conditions and access limitations. The geophysical program consisted of one Schlumberger sounding, one

26

Multicomponent Equilibrium Models for Testing Geothermometry Approaches  

SciTech Connect

Geothermometry is an important tool for estimating deep reservoir temperature from the geochemical composition of shallower and cooler waters. The underlying assumption of geothermometry is that the waters collected from shallow wells and seeps maintain a chemical signature that reflects equilibrium in the deeper reservoir. Many of the geothermometers used in practice are based on correlation between water temperatures and composition or using thermodynamic calculations based a subset (typically silica, cations or cation ratios) of the dissolved constituents. An alternative approach is to use complete water compositions and equilibrium geochemical modeling to calculate the degree of disequilibrium (saturation index) for large number of potential reservoir minerals as a function of temperature. We have constructed several forward geochemical models using The Geochemists Workbench to simulate the change in chemical composition of reservoir fluids as they migrate toward the surface. These models explicitly account for the formation (mass and composition) of a steam phase and equilibrium partitioning of volatile components (e.g., CO2, H2S, and H2) into the steam as a result of pressure decreases associated with upward fluid migration from depth. We use the synthetic data generated from these simulations to determine the advantages and limitations of various geothermometry and optimization approaches for estimating the likely conditions (e.g., temperature, pCO2) to which the water was exposed in the deep subsurface. We demonstrate the magnitude of errors that can result from boiling, loss of volatiles, and analytical error from sampling and instrumental analysis. The estimated reservoir temperatures for these scenarios are also compared to conventional geothermometers. These results can help improve estimation of geothermal resource temperature during exploration and early development.

Cooper, D. Craig; Carl D. Palmer; Robert W. Smith; Travis L. McLing

2013-02-01T23:59:59.000Z

27

Geothermometry At Central Nevada Seismic Zone Region (Shevenell & De  

Open Energy Info (EERE)

Region (Shevenell & De Region (Shevenell & De Rocher, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Central Nevada Seismic Zone Region (Shevenell & De Rocher, 2005) Exploration Activity Details Location Central Nevada Seismic Zone Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown References Lisa Shevenell, Ted De Rocher (2005) Evaluation Of Chemical Geothermometers For Calculating Reservoir Temperatures At Nevada Geothermal Power Plants Retrieved from "http://en.openei.org/w/index.php?title=Geothermometry_At_Central_Nevada_Seismic_Zone_Region_(Shevenell_%26_De_Rocher,_2005)&oldid=401374" Category: Exploration Activities What links here

28

Geothermometry At Kawaihae Area (Thomas, 1986) | Open Energy Information  

Open Energy Info (EERE)

Geothermometry At Kawaihae Area (Thomas, 1986) Geothermometry At Kawaihae Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Kawaihae Area (Thomas, 1986) Exploration Activity Details Location Kawaihae Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Groundwater chemical data are limited due to the small number of wells near Kawaihae; however, the data that are available strongly substantiate the presence of a thermal resource. A measured water temperature of 31 degrees C in one well is clearly above normal ambient temperatures, and the chloride/magnesium ion ratio in the same well is elevated substantially above the normal range (Table 8). Both of these data provide strong evidence that at least a low-level thermal anomaly is present in the area.

29

Geothermometry At Lassen Volcanic National Park Area (Janik & Mclaren,  

Open Energy Info (EERE)

Geothermometry At Lassen Volcanic National Park Area (Janik & Mclaren, Geothermometry At Lassen Volcanic National Park Area (Janik & Mclaren, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Lassen Volcanic National Park Area (Janik & Mclaren, 2010) Exploration Activity Details Location Lassen Volcanic National Park Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Analyses of eight well samples taken consecutively during the flow test showed an inverse correlation between NH3 and Cl_ concentrations. The last sample taken had a pH of 8.35 and contained 2100 ppm Cl_ and 0.55 ppm NH3. Ratios of Na+/K+ and Na+/Cl_ remained nearly constant throughout the flow test. Cation geothermometers (with inherent uncertainties of at least

30

Geothermometry At Mauna Loa Northeast Rift Area (Thomas, 1986) | Open  

Open Energy Info (EERE)

Geothermometry At Mauna Loa Northeast Rift Area (Thomas, 1986) Geothermometry At Mauna Loa Northeast Rift Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Mauna Loa Northeast Rift Area (Thomas, 1986) Exploration Activity Details Location Mauna Loa Northeast Rift Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes A reexamination of all groundwater sources in the Keaau area was undertaken in an effort to confirm the chemical and temperature anomalies that formed the primary basis on which the Keaau area was identified during the preliminary assessment survey. The data generated by this survey (Table 9) determined that all of the anomalous data present in the earlier data base were spurious and that the groundwater chemistry and temperatures in this

31

Geothermometry At Lualualei Valley Area (Thomas, 1986) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Lualualei Valley Area (Thomas, 1986) Geothermometry At Lualualei Valley Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Lualualei Valley Area (Thomas, 1986) Exploration Activity Details Location Lualualei Valley Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Yhe extensive set of groundwater chemical data compiled for the wells in the valley (Table 1) showed that two of the primary indicators that have been commonly used in Hawaii for identifying geothermal potential (i.e. silica concentration and chloride to magnesium ion ratios) were anomalous in the groundwater of this survey area (Cox and Thomas, 1979). Several wells located on the caldera boundaries were found to have both

32

Geochemistry And Geothermometry Of Spring Water From The Blackfoot  

Open Energy Info (EERE)

Geothermometry Of Spring Water From The Blackfoot Geothermometry Of Spring Water From The Blackfoot Reservoir Region, Southeastern Idaho Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Geochemistry And Geothermometry Of Spring Water From The Blackfoot Reservoir Region, Southeastern Idaho Details Activities (3) Areas (1) Regions (0) Abstract: The Blackfoot Reservoir region in southeastern Idaho is recognized as a potential geothermal area because of the presence of several young rhyolite domes (50,000 years old), Quaternary basalt flows, and warm springs. North- to northwest-trending high-angle normal faults of Tertiary to Holocene age appear to be the dominant structural control of spring activity. Surface spring-water temperatures average 14°C except for a group of springs west of the Reservoir Mountains which average 33°C.

33

Geothermometry At Raft River Geothermal Area (1980) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Raft River Geothermal Area (1980) Geothermometry At Raft River Geothermal Area (1980) Exploration Activity Details Location Raft River Geothermal Area Exploration Technique Geothermometry Activity Date 1980 Usefulness not indicated DOE-funding Unknown Notes Geothermometer temperatures of shallow samples suggest significant re-equilibration at temperatures below those found in the deep wells. Silica geothermometer temperatures of water samples from the deep wells are in reasonable agreement with measured temperatures, whereas Na-K-Ca temperatures are significantly higher than measured temperatures. The chemical characteristics of the water, as indicated by chloride concentration, are extremely variable in shallow and deep samples. Chloride concentrations of the deep samples range from 580 to 2200 mg/kg.

34

Geothermometry At Coso Geothermal Area (1980) | Open Energy Information  

Open Energy Info (EERE)

Geothermometry At Coso Geothermal Area (1980) Geothermometry At Coso Geothermal Area (1980) Exploration Activity Details Location Coso Geothermal Area Exploration Technique Geothermometry Activity Date 1980 Usefulness useful DOE-funding Unknown Exploration Basis Fluid temperature of feed water Notes Cation and sulfate isotope geothermometers indicate that the reservoir feeding water to the Coso Hot Spring well has a temperature of about 240 -250 C, and the reservoir feeding the CGEH well has a temperature of about 205 C. The variation in the chemical composition of water from the two wells suggests a model in which water-rock chemical equilibrium is maintained as a convecting solution cools from about 245-205 C by conductive heat loss. References Fournier, R.O.; Thompson, J.M.; Austin, C.F. (10 May 1980)

35

Geothermometry At Lahaina-Kaanapali Area (Thomas, 1986) | Open Energy  

Open Energy Info (EERE)

Lahaina-Kaanapali Area (Thomas, 1986) Lahaina-Kaanapali Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Lahaina-Kaanapali Area (Thomas, 1986) Exploration Activity Details Location Lahaina-Kaanapali Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Groundwater temperature and chemistry surveys were similarly unable to identify any detectable thermal influence on the basal groundwaters. Silica concentrations and water temperatures (Table 4) were within the normal range expected for basal groundwaters receiving a limited amount of irrigation return water; chloride/magnesium ratios ranged downward from normal seawater values. References Donald M. Thomas (1 January 1986) Geothermal Resources Assessment In

36

Improved Geothermometry Through Multivariate Reaction Path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators  

Energy.gov (U.S. Department of Energy (DOE))

Improved Geothermometry Through Multivariate Reaction Path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators presentation at the April 2013 peer review meeting held in Denver, Colorado.

37

Geothermometry At Hot Springs Ranch Area (Szybinski, 2006) | Open Energy  

Open Energy Info (EERE)

Hot Springs Ranch Area (Szybinski, 2006) Hot Springs Ranch Area (Szybinski, 2006) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Hot Springs Ranch Area (Szybinski, 2006) Exploration Activity Details Location Hot Springs Ranch Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes The brine from the drill holes, hot springs, seepages, and irrigation wells was sampled, as well as water from two nearby creeks, (total of 13 samples) and sent for analysis to Thermochem Inc. For sample locations refer to Figure 35; the geochemical data are presented in Appendix C. Geochemical results indicate the presence of two distinct waters in this group of samples (Tom Powell of Thermochem Inc., personal communication, 2005).

38

Geothermometry At Buffalo Valley Hot Springs Area (Laney, 2005) | Open  

Open Energy Info (EERE)

Buffalo Valley Hot Springs Area (Laney, 2005) Buffalo Valley Hot Springs Area (Laney, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Buffalo Valley Hot Springs Area (Laney, 2005) Exploration Activity Details Location Buffalo Valley Hot Springs Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Geochemical Sampling of Thermal and Non-thermal Waters in Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which the analyses are incomplete, poor, or nonexistent. With these data, geothermometers are being calculated and a preliminary assessment of the geothermal potential and ranking of the sampled areas is being

39

Geothermometry At Socorro Mountain Area (Owens, Et Al., 2005) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Socorro Mountain Area (Owens, Et Al., 2005) Geothermometry At Socorro Mountain Area (Owens, Et Al., 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Socorro Mountain Area (Owens, Et Al., 2005) Exploration Activity Details Location Socorro Mountain Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Pre-existing evidence includes heat gradients of upwards of 490mW/m2 from thermal-gradient wells, tepid spring waters (32oC) and silica geochemistry indicating thermal waters with a minimum of 82oC at depth References Lara Owens, Richard Baars, David Norman, Harold Tobin (2005) New Methods In Exploration At The Socorro Peak Kgra- A Gred Iii Project Retrieved from "http://en.openei.org/w/index.php?title=Geothermometry_At_Socorro_Mountain_Area_(Owens,_Et_Al.,_2005)&oldid=389518

40

Geothermometry At Columbus Salt Marsh Area (Shevenell, Et Al., 2008) | Open  

Open Energy Info (EERE)

Geothermometry At Columbus Salt Marsh Area (Shevenell, Et Al., 2008) Geothermometry At Columbus Salt Marsh Area (Shevenell, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Columbus Salt Marsh Area (Shevenell, Et Al., 2008) Exploration Activity Details Location Columbus Salt Marsh Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Borate crusts that were partially mined during the 1800s were identified and mapped at Rhodes, Teels, and Columbus Marshes (playas), all in western Nevada (Figure 1). Subsequent field verification and chemical analyses of well, spring and groundwater samples indicated the presence of hidden subsurface geothermal reservoirs. Cation and quartz geothermometry indicate subsurface reservoir temperatures between 118°C and 162°C at all three

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


41

Geothermometry At Walker-Lane Transitional Zone Region (Shevenell & De  

Open Energy Info (EERE)

Shevenell & De Shevenell & De Rocher, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Walker-Lane Transitional Zone Region (Shevenell & De Rocher, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown References Lisa Shevenell, Ted De Rocher (2005) Evaluation Of Chemical Geothermometers For Calculating Reservoir Temperatures At Nevada Geothermal Power Plants Retrieved from "http://en.openei.org/w/index.php?title=Geothermometry_At_Walker-Lane_Transitional_Zone_Region_(Shevenell_%26_De_Rocher,_2005)&oldid=399607" Category: Exploration Activities What links here Related changes

42

Geothermometry At Salt Wells Area (Henkle, Et Al., 2005) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Salt Wells Area (Henkle, Et Al., 2005) Geothermometry At Salt Wells Area (Henkle, Et Al., 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Salt Wells Area (Henkle, Et Al., 2005) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Geothermometry Activity Date 2004 - 2005 Usefulness useful DOE-funding Unknown Exploration Basis Adsorbed mercury soil geochemical surveys and radiometric geophysical surveys were carried out in conjunction with geologic mapping to test the application of these ground-based techniques to geothermal exploration at three prospects in Nevada by Henkle Jr. et al. in 2005. Mercury soil vapor surveys were not widely used in geothermal exploration in the western US at the time, although the association of mercury vapors with geothermal

43

Geothermometry At Upper Hot Creek Ranch Area (Benoit & Blackwell, 2006) |  

Open Energy Info (EERE)

Geothermometry At Upper Hot Creek Ranch Area (Benoit & Blackwell, 2006) Geothermometry At Upper Hot Creek Ranch Area (Benoit & Blackwell, 2006) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Upper Hot Creek Ranch Area (Benoit & Blackwell, 2006) Exploration Activity Details Location Upper Hot Creek Ranch Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Ten water samples were collected for chemical analysis and interpretation. Analyses of three samples of the UHCR thermal give predicted subsurface temperatures ranging from 317 to 334 oF from the Na-K-Ca, silica (quartz), and Na-Li geothermometers. The fact that all three thermometers closely agree gives the predictions added credibility. References Dick Benoit, David Blackwell (2006) Exploration Of The Upper Hot

44

Geothermometry At Northern Basin & Range Region (Laney, 2005) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Northern Basin & Range Region (Laney, 2005) Geothermometry At Northern Basin & Range Region (Laney, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Northern Basin & Range Region (Laney, 2005) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Geochemical Sampling of Thermal and Non-thermal Waters in Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which the analyses are incomplete, poor, or nonexistent. With these data, geothermometers are being calculated and a preliminary assessment of

45

Geothermometry At U.S. Midwest Region (Vugrinovich, 1987) | Open Energy  

Open Energy Info (EERE)

Geothermometry At U.S. Midwest Region (Vugrinovich, 1987) Geothermometry At U.S. Midwest Region (Vugrinovich, 1987) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At U.S. Midwest Region (Vugrinovich, 1987) Exploration Activity Details Location U.S. Midwest Region Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Michigan "The silica heat flow estimator does provide estimates of surface heat flow which appear to be in good agreement with conventional estimates, but which are not entirely free from disturbances caused by groundwater movements. The technique should be more widely applied to areas where conventional heat flow measurements are lacking." References Raymond Vugrinovich (1987) Regional Heat Flow Variations In The

46

Geothermometry At Rhodes Marsh Area (Shevenell, Et Al., 2008) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Rhodes Marsh Area (Shevenell, Et Geothermometry At Rhodes Marsh Area (Shevenell, Et Al., 2008) Exploration Activity Details Location Rhodes Marsh Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Borate crusts that were partially mined during the 1800s were identified and mapped at Rhodes, Teels, and Columbus Marshes (playas), all in western Nevada (Figure 1). Subsequent field verification and chemical analyses of well, spring and groundwater samples indicated the presence of hidden subsurface geothermal reservoirs. Cation and quartz geothermometry indicate subsurface reservoir temperatures between 118°C and 162°C at all three areas based on results from waters sampled proximal to borate crusts. References Lisa Shevenell, Mark Coolbaugh, Chris Sladek, Rick Zehner, Chris

47

Geothermometry At Reese River Area (Henkle & Ronne, 2008) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Reese River Area (Henkle & Ronne, 2008) Geothermometry At Reese River Area (Henkle & Ronne, 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Reese River Area (Henkle & Ronne, 2008) Exploration Activity Details Location Reese River Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Four formation water samples were collected from well 56-4, during an airlift test which took place between November 11 and November 14, 2007. One sample was taken from the Steiner Well which was the source for drilling water for the drilling of 56-4 and for the short injection test. The samples were analyzed by Thermochem for chemical constituents and by Rafter Lab at GNS for isotope analysis. References

48

Geothermometry At Fish Lake Valley Area (Deymonaz, Et Al., 2008) | Open  

Open Energy Info (EERE)

Geothermometry At Fish Lake Valley Area (Deymonaz, Et Al., 2008) Geothermometry At Fish Lake Valley Area (Deymonaz, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Fish Lake Valley Area (Deymonaz, Et Al., 2008) Exploration Activity Details Location Fish Lake Valley Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes There are no thermal springs within the Emigrant prospect area, but unambiguously indigenous hotwater samples were collected from boreholes 211 (see above) and 112 (Fig. 3). These samples were analyzed for major and selected minor chemical components (Table 1; Pilkington, 1984). Hot water at 96degrees C from borehole 211 was collected by airlifting from a depth of 123 m (water level) at a rate of 240 liters per minute. The

49

Geothermometry At Central Nevada Seismic Zone Region (Laney, 2005) | Open  

Open Energy Info (EERE)

Region Region (Laney, 2005) Exploration Activity Details Location Central Nevada Seismic Zone Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Geochemical Sampling of Thermal and Non-thermal Waters in Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which the analyses are incomplete, poor, or nonexistent. With these data, geothermometers are being calculated and a preliminary assessment of the geothermal potential and ranking of the sampled areas is being conducted using the new geochemical data. Objectives changed slightly in 2004. Samples are now being collected at sites identified by other

50

Geothermometry At Salt Wells Area (Edmiston & Benoit, 1984) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Salt Wells Area (Edmiston & Benoit, Geothermometry At Salt Wells Area (Edmiston & Benoit, 1984) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Geothermometry Activity Date 1980 - 1984 Usefulness useful DOE-funding Unknown Exploration Basis The blind Salt Wells geothermal system was first identified when Anadarko Petroleum Corporation drilled slim hole and geothermal exploration wells at the site in 1980. Two reports detail the results of this drilling activity. This paper seeks to (1) describe several moderate-temperature (150-200°C) geothermal systems discovered and drilled during the early 1980's that had not been documented previously in the literature, (2) summarize and compare chemical and temperature data from known moderate- to high-temperature (>200°C) in the region, and (3) to comment on the

51

Geothermometry At Salt Wells Area (Coolbaugh, Et Al., 2006) | Open Energy  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Geothermometry At Salt Wells Area (Coolbaugh, Et Al., 2006) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Salt Wells Area (Coolbaugh, Et Al., 2006) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Geothermometry Activity Date 2005 - 2005 Usefulness useful DOE-funding Unknown Exploration Basis Geochemical water sampling, mineral distribution mapping, and shallow (30 cm) temperature probe measurements were conducted to expand on a previous field mapping study of surface geothermal features at Salt Wells, in order

52

Geothermometry At Nw Basin & Range Region (Laney, 2005) | Open Energy  

Open Energy Info (EERE)

Geothermometry At Nw Basin & Range Region (Laney, Geothermometry At Nw Basin & Range Region (Laney, 2005) Exploration Activity Details Location Northwest Basin and Range Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Geochemical Sampling of Thermal and Non-thermal Waters in Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which the analyses are incomplete, poor, or nonexistent. With these data, geothermometers are being calculated and a preliminary assessment of the geothermal potential and ranking of the sampled areas is being conducted using the new geochemical data. Objectives changed slightly in 2004. Samples are now being collected at sites identified by other

53

Geothermometry At Nevada Test And Training Range Area (Sabin, Et Al., 2004)  

Open Energy Info (EERE)

2004) 2004) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Nevada Test And Training Range Area (Sabin, Et Al., 2004) Exploration Activity Details Location Nevada Test And Training Range Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Groundwater data are limited to a portion of NAFR; data are more plentiful beyond the range boundaries. Geothermometry yields calculated groundwater temperatures generally ranging from 30 to 105degrees C, with a rough correlation between the SiO2-chalcedony and the Na-K-Na (Mg-corrected) geothermometers. References A. E. Sabin, J. D. Walker, J. Unruh, F. C. Monastero (2004) Toward The Development Of Occurrence Models For Geothermal Resources In The

54

Geothermometry At Teels Marsh Area (Shevenell, Et Al., 2008) | Open Energy  

Open Energy Info (EERE)

Shevenell, Et Al., 2008) Shevenell, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Teels Marsh Area (Shevenell, Et Al., 2008) Exploration Activity Details Location Teels Marsh Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Borate crusts that were partially mined during the 1800s were identified and mapped at Rhodes, Teels, and Columbus Marshes (playas), all in western Nevada (Figure 1). Subsequent field verification and chemical analyses of well, spring and groundwater samples indicated the presence of hidden subsurface geothermal reservoirs. Cation and quartz geothermometry indicate subsurface reservoir temperatures between 118°C and 162°C at all three areas based on results from waters sampled proximal to borate crusts.

55

Classification  

NLE Websites -- All DOE Office Websites (Extended Search)

Classification Classification Name: mike Status: N/A Age: N/A Location: N/A Country: N/A Date: Around 1993 Question: What is the most accurate way to classify animals in taxonomy? Replies: If by "most accurate", you mean the way that best approximates classifying animals according to their genetic relatedness, and historical ties, then the best way is called "cladistics." Cladistics is a method that is used to split a group of animals (or any living thing) into two groups. The process is completed until there are only two animals left, and they are split. The criteria they use to split groups is based on "synapomorphies" a 50-cent word which means a SHARED and DERIVED CHARACTER. A CHARACTER is a measure of an organism, like its color, or structure, or size. A DERIVED character is one that is newly evolved. For instance, if you had a group of 5 fish, and 2 monkeys, you would guess (based on previous work) that the two monkeys belong in one group, and the 5 fish in the other (and you would be right). This is because the 2 monkeys SHARE many DERIVED CHARACTERS that the fish do not share with the monkeys. One such derived character is the presence of legs. Fossil evidence shows that vertebrate legs are newly evolved with respect to fish. Fish came first, the vertebrate legs. You have now created a simple cladogram. One branch is for fish, the other for monkeys. By the by, taxonomy is the process of naming organisms, and is neither accurate nor inaccurate. Phyletics is the science of determining the beasts genetic relationships, and that can be inaccurate if one is not careful

56

Geothermometry At Walker-Lane Transitional Zone Region (Laney, 2005) | Open  

Open Energy Info (EERE)

Laney, 2005) Laney, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Walker-Lane Transitional Zone Region (Laney, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Geochemical Sampling of Thermal and Non-thermal Waters in Nevada, Shevenell and Garside. The objective of this project is to obtain geochemical data from springs (and some wells) for which data are not publicly available, or for which the analyses are incomplete, poor, or nonexistent. With these data, geothermometers are being calculated and a preliminary assessment of the geothermal potential and ranking of the sampled areas is being

57

Geothermometry At Northern Basin & Range Region (Cole, 1983) | Open Energy  

Open Energy Info (EERE)

Northern Basin & Range Region Northern Basin & Range Region (Cole, 1983) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Wstern Utah hot springs: Antelope, Fish (Deadman), Fish (Wilson), Twin Peak, Cudahy, Laverkin, Grantsville, Crystal Prison, Arrowhead, Red Hill, Monroe, Joseph, Castilla, Saratoga, Thermo, Crater, Wasatch, Beck, Deseret, Big Spring, Blue Warm, Crystal Madsen, Udy, Cutler, Garland, Utah, Ogden, Hooper, Newcastle Area References David R. Cole (1983) Chemical And Isotopic Investigation Of Warm Springs Associated With Normal Faults In Utah Retrieved from "http://en.openei.org/w/index.php?title=Geothermometry_At_Northern_Basin_%26_Range_Region_(Cole,_1983)&oldid=4014

58

Geothermometry At Clear Lake Area (Thompson, Et Al., 1992) | Open Energy  

Open Energy Info (EERE)

Clear Lake Area (Thompson, Et Al., 1992) Clear Lake Area (Thompson, Et Al., 1992) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Clear Lake Area (Thompson, Et Al., 1992) Exploration Activity Details Location Clear Lake Area Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Based on the above discussion, we favor a model in which thermal water rises somewhere between Howard and Seigler Springs. At Howard Springs we see evidence for the most representative deep thermal water because the C1 is elevated (highest measured C1 concentrations occur at Howard Springs). Moreover, the Na-Li, Na-K and Na-K-Ca geothermometers suggest temperatures greater than 240 degrees C. References J. M. Thompson, R. H. Mariner, L. D. White, T. S. Presser, W. C.

59

Geothermometry At Desert Queen Area (Garchar & Arehart, 2008) | Open Energy  

Open Energy Info (EERE)

Queen Area (Garchar & Arehart, 2008) Queen Area (Garchar & Arehart, 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermometry At Desert Queen Area (Garchar & Arehart, 2008) Exploration Activity Details Location Desert Queen Area Exploration Technique Geothermometry Activity Date Usefulness not indicated DOE-funding Unknown Notes Temperatures of the reservoir at depth are estimated to be between 92-141 degrees C and were calculated using the δ18O(SO4-H2O) geothermometer. It is unclear whether these temperatures reflect waters from the outflow zone of the Desert Peak geothermal system, or waters from a different reservoir at Desert Queen. Quartz, chalcedony, amorphous silica, Na-K-Ca, and δ18O(SO4-H2O) geothermometer calculations were performed.

60

An experimental investigation into the effects of fluid composition on certain geothermometry methods  

E-Print Network (OSTI)

at the lower temperatures, and 5) thermal waters do not mix with shallower, cooler ground water. Silica geothermometer The dissolved silica content of geothermal water is used in geothermometry because silica is present in most geologic settings... This presents a real problem in evaluation of the geo- thermal potential of the area; one method gives reservoir temperatures high enough for potential geothermal energy use but another gives temperatures that are too low. The waters studied by Henry can...

Pope, Leslie Anne

2012-06-07T23:59:59.000Z

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


61

Optimized multicomponent vs. classical geothermometry: Insights from modeling studies at the Dixie Valley geothermal area  

Science Journals Connector (OSTI)

Abstract A new geothermometry approach is explored, incorporating multicomponent geothermometry coupled with numerical optimization to provide more confident estimates of geothermal reservoir temperatures when results of classical geothermometers are inconsistent. This approach is applied to geothermal well and spring waters from the Dixie Valley geothermal area (Nevada), to evaluate the influence of salt brines mixing and dilution of geothermal fluids on calculated temperatures. The main advantage of the optimized multicomponent method over classical geothermometers is its ability to quantify the extent of dilution and gas loss experienced by a geothermal fluid, and to optimize other poorly constrained or unknown parameters (such as Al and Mg concentrations), allowing the reconstruction of the deep reservoir fluid composition and therefore gaining confidence in reservoir temperatures estimations. Because the chemical evolution of deep geothermal fluids is a combination of multiple time-dependent processes that take place when these fluids ascend to the surface, reactive transport modeling is used to assess constraints on the application of solute geothermometers. Simulation results reveal that Al and Mg concentrations of ascending fluids are sensitive to mineral precipitationdissolution affecting reservoir temperatures inferred with multicomponent geothermometry. In contrast, simulations show that the concentrations of major elements such as Na, K, and SiO2 are less sensitive to re-equilibration. Geothermometers based on these elements give reasonable reservoir temperatures in many cases, except when dilution or mixing with saline waters has taken place. Optimized multicomponent geothermometry yields more representative temperatures for such cases. Taking into account differences in estimated temperatures, and chemical compositions of the Dixie Valley thermal waters, a conceptual model of two main geothermal reservoirs is proposed. The first reservoir is located along the Stillwater range normal fault system and has an estimated temperature of 240260C. It covers the area corresponding to the geothermal field but could extend towards the south-west where deep temperatures of 200225C are estimated. The second reservoir has an estimated temperature of 175190C and extends from well 62-21 to northeastern Hyder, Lower Ranch, Fault Line, and Jersey springs.

L. Peiffer; C. Wanner; N. Spycher; E.L. Sonnenthal; B.M. Kennedy; J. Iovenitti

2014-01-01T23:59:59.000Z

62

Geothermometry At Long Valley Caldera Area (Sorey, Et Al., 1991) | Open  

Open Energy Info (EERE)

Long Valley Caldera Area (Sorey, Et Long Valley Caldera Area (Sorey, Et Al., 1991) Exploration Activity Details Location Long Valley Caldera Area Exploration Technique Geothermometry Activity Date Usefulness could be useful with more improvements DOE-funding Unknown Notes Silica-geothermometer temperature estimates for the Casa Diablo and RDO-8 well samples ( 196-202 degrees C) are lower than the corresponding cation-geothermometer temperature estimates, indicating loss of silica with declining reservoir temperature or dilution with low-silica waters. At shallow depths in the caldera References Michael L. Sorey, Gene A. Suemnicht, Neil C. Sturchio, Gregg A. Nordquist (1991) New Evidence On The Hydrothermal System In Long Valley Caldera, California, From Wells, Fluid Sampling, Electrical Geophysics, And

63

Data Classification  

Science Journals Connector (OSTI)

Data classification is acritical function for increasing ... it helps users in the retrieval of significant data. Computer programs can effectively order or sort data in different ways in numerical or...

2008-01-01T23:59:59.000Z

64

Classification Combinatorial  

E-Print Network (OSTI)

, . . . , xn You can get anything you want Remark Truth With probability 1, these axioms are true; Consequences, . . . , xn You can get anything you want Remark Truth With probability 1, these axioms are true; Consequences anything you want Remark Truth With probability 1, these axioms are true; #12;Classification of Homoge

St Andrews, University of

65

Understanding Classification  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

n n n d d e e r r s s t t a a n n d d i i n n g g C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f H H e e a a l l t t h h , , S S a a f f e e t t y y a a n n d d S S e e c c u u r r i i t t y y U U . . S S . . D D e e p p a a r r t t m m e e n n t t o o f f E E n n e e r r g g y y J J u u n n e e 2 2 0 0 1 1 2 2 1 Now that you have your clearance, you are likely to be working with classified information. As a result - * You may originate a document that must be reviewed for classification. * You may have a classified document that you want to have reviewed for declassification. * You may be reading a newspaper or magazine article and find information in it that appears to be classified. * You may encounter classified information you believe should NOT be classified. This booklet highlights your responsibilities identified in DOE Order

66

Classification Documents and Publications  

Energy.gov (U.S. Department of Energy (DOE))

Certain documents and publications created or issued by the Office of Classification are available from this page.

67

Audio Segmentation and Classification  

E-Print Network (OSTI)

Audio Segmentation and Classification Abdillahi Hussein Omar Kgs. Lyngby 2005 #12;Preface The work describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments

68

National Geothermal Resource Assessment and Classification |...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification presentation...

69

Classification Training Institute, 2013 Course Catelog  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Classification Classification Classification Training Institute 2013 Course Catalog 1 TABLE OF CONTENTS Introduction ................................................................................................................................... 2 Classification Level ....................................................................................................................... 2 Registration ................................................................................................................................... 2 Additional Information ................................................................................................................... 2 2013 Course Schedule and Locations .......................................................................................... 3

70

Ultra High Temperature | Open Energy Information  

Open Energy Info (EERE)

Ultra High Temperature Ultra High Temperature Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Ultra High Temperature Dictionary.png Ultra High Temperature: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in 2005 at the request of DOE and GEA, as reported in Classification of Geothermal Systems: A Possible Scheme. Extremely Low Temperature Very Low Temperature Low Temperature Moderate Temperature High Temperature Ultra High Temperature Steam Field Reservoir fluid greater than 300°C is considered by Sanyal to be "ultra high temperature". "Such reservoirs are characterized by rapid development of steam saturation in the reservoir and steam fraction in the mobile fluid phase upon

71

Extremely Low Temperature | Open Energy Information  

Open Energy Info (EERE)

Extremely Low Temperature Extremely Low Temperature Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Extremely Low Temperature Dictionary.png Extremely Low Temperature: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in 2005 at the request of DOE and GEA, as reported in Classification of Geothermal Systems: A Possible Scheme. Extremely Low Temperature Very Low Temperature Low Temperature Moderate Temperature High Temperature Ultra High Temperature Steam Field Reservoir fluid less than 100°C is considered to to be "extremely low temperature." Note: Sanyal classified fluids of these temperatures to be "non-electrical grade" in 2005, but electricity has since been generated from these

72

Moderate Temperature | Open Energy Information  

Open Energy Info (EERE)

Moderate Temperature Moderate Temperature Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Moderate Temperature Dictionary.png Moderate Temperature: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in 2005 at the request of DOE and GEA, as reported in Classification of Geothermal Systems: A Possible Scheme. Extremely Low Temperature Very Low Temperature Low Temperature Moderate Temperature High Temperature Ultra High Temperature Steam Field Reservoir fluid between 190°C and 230°C is considered by Sanyal to be "moderate temperature." "The next higher resource temperature limit is chosen as 230°C, which is lower than the minimum initial resource temperature encountered in

73

Low Temperature | Open Energy Information  

Open Energy Info (EERE)

Temperature Temperature Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Low Temperature Dictionary.png Low Temperature: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in 2005 at the request of DOE and GEA, as reported in Classification of Geothermal Systems: A Possible Scheme. Extremely Low Temperature Very Low Temperature Low Temperature Moderate Temperature High Temperature Ultra High Temperature Steam Field Reservoir fluid between 150°C and 190°C is considered by Sanyal to be "low temperature." "The mobile fluid phase in these reservoirs is liquid water. A number of commercial power projects have been operated over the last two decades

74

Very Low Temperature | Open Energy Information  

Open Energy Info (EERE)

Very Low Temperature Very Low Temperature Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Very Low Temperature Dictionary.png Very Low Temperature: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in 2005 at the request of DOE and GEA, as reported in Classification of Geothermal Systems: A Possible Scheme. Extremely Low Temperature Very Low Temperature Low Temperature Moderate Temperature High Temperature Ultra High Temperature Steam Field Reservoir fluid between 100°C and 150°C is considered by Sanyal to be "very low temperature." "The mobile fluid phase in these reservoirs is liquid water. Very few power projects have been developed in the U.S. based on geothermal resources in

75

High Temperature | Open Energy Information  

Open Energy Info (EERE)

Temperature Temperature Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: High Temperature Dictionary.png High Temperature: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in 2005 at the request of DOE and GEA, as reported in Classification of Geothermal Systems: A Possible Scheme. Extremely Low Temperature Very Low Temperature Low Temperature Moderate Temperature High Temperature Ultra High Temperature Steam Field Reservoir fluid between 230°C and 300°C is considered by Sanyal to be "high temperature." "Above a temperature level of 230°C, the reservoir would be expected to become two-phase at some point during exploitation. The next higher

76

Chapter 5 - Audio Classification  

Science Journals Connector (OSTI)

Abstract This chapter describes the task of classifying unknown audio segments of homogeneous content to a set of predefined audio classes. In particular, theoretical background is provided regarding popular classification methods, including Support Vector Machines, Decision Trees and the k -Nearest-Neighbor method. The reader is also introduced to generic performance measures and validation methods for the estimation of the performance of a classifier. The chapter concludes with the presentation of performance measurements for a set of typical audio classification tasks.

Theodoros Giannakopoulos; Aggelos Pikrakis

2014-01-01T23:59:59.000Z

77

Introduction to Classification  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3 3 This briefing provides an introduction to classified information. 2 Introduction to Classified Information April 2013 3 What is classification?  Classification is how we identify certain information that needs to be protected in the interest of national security.  DOE has a formal process for classifying and declassifying information, documents, and materials. 4 Restricted Data (RD) Formerly Restricted Data (FRD) What information is classified? Atomic Energy Act Implemented by 10 CFR part 1045 Executive Order 13526 Implemented by 32 CFR part 2001 National Security Information (NSI) 5 Transclassified Foreign Nuclear Information (TFNI) Authority Classified Information Category 6 Restricted Data  The Atomic Energy Act defines "Restricted

78

Prof. Sugata Sanyal Tata Institute of Fundamental Research  

E-Print Network (OSTI)

tongue can get you into deep water. #12;Types of professors:\\The Sage The Sage stands at the front and projects meant to carry to the next sphere of existence. #12;Types of professors:\\The Flatliner Flatliner. The Demagogue is best recognized by the confidence and star power that oozes from their pores. They are often

Sanyal, Sugata

79

Classification of Information Manual  

Directives, Delegations, and Requirements

To specify responsibilities, authorities, policy, and procedures for the management of the Department of Energy (DOE) classification system. Cancels DOE O 5650.2, dated 12-12-1978. Canceled by DOE O 5650.2B, dated 12-31-1991.

1985-05-08T23:59:59.000Z

80

Classification Training Institute Catalog | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Services » Classification » Classification Training Institute » Services » Classification » Classification Training Institute » Classification Training Institute Catalog Classification Training Institute Catalog Classification Training Institute (CTI) Catalog Training & Reference Materials Online Classified or Controlled Information Mini-Lessons Classified Information Training Unclassified Controlled Nuclear Information Training Official Use Only Training OpenNet Training Training For Other Agency Personnel Classification Training Institute Catalog Enforcement Guidance Oversight Reporting Security Classification Classification Training Institute Official Use Only Information Unclassified Controlled Nuclear Information (UCNI) Statutes, Regulations, & Directives Nuclear Safety Assistance Training Outreach & Collaboration

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Classification of Information  

Directives, Delegations, and Requirements

To provide specific responsibilities, standards, and procedures for the management of the Department of Energy (DOE) classification system. Cancels DOE O 5650.1, dated 7-18-78; DOE N 5650.1, dated 8-7-78; DOE N 5650.2, dated 8-7-78; DOE N 5650.3, dated 8-7-78. Canceled by DOE O 5650.2A, dated 5-8-95

1978-12-12T23:59:59.000Z

82

Seismic event classification system  

DOE Patents (OSTI)

In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities.

Dowla, Farid U. (Castro Valley, CA); Jarpe, Stephen P. (Brentwood, CA); Maurer, William (Livermore, CA)

1994-01-01T23:59:59.000Z

83

Integrated Chemical Geothermometry System for Geothermal Exploration  

Energy.gov (U.S. Department of Energy (DOE))

DOE Geothermal Peer Review 2010 - Presentation. Develop practical and reliable system to predict geothermal reservoir temperatures from integrated chemical analyses of spring and well fluids.

84

A classification model: syntax and semantics for classification  

Science Journals Connector (OSTI)

We present here Semantic and Descriptive Models for Classification as components of our Classification Model (definition [17]). We do so within a framework of a General Data Mining Model (definition [4]) which is a model for Data Mining viewed as a generalization ...

Anita Wasilewska; Ernestina Menasalvas

2005-08-01T23:59:59.000Z

85

Classification Schemes for Collection Mediation  

E-Print Network (OSTI)

of the author. #12;Abstract Work domain analysis and work centered design is a new approach to designClassification Schemes for Collection Mediation: Work Centered Design and Cognitive Work Analysis science. #12;Classification Schemes for Collection Mediation: Cognitive Work Analysis and Work Centered

86

Catalog, Classification Training Institute | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Catalog, Classification Training Institute Catalog, Classification Training Institute Catalog, Classification Training Institute December 2012 2013 Classification Training Course Catalog. To ensure that all classification and declassification decisions are based on these principles, the Office of Classification has undertaken the establishment and maintenance of a comprehensive classification and declassification education program. The training and education program is perpetually evolving with new courses and special briefings as events dictate. Basic courses that are in constant demand are described in this course catalog. Other more specialized courses and briefings have been developed and are available on an "as needed" basis. Classification Training Institute (CTI) 2013 Catalog can be viewed below:

87

Catalog, Classification Training Institute | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Catalog, Classification Training Institute Catalog, Classification Training Institute Catalog, Classification Training Institute December 2012 2013 Classification Training Course Catalog. To ensure that all classification and declassification decisions are based on these principles, the Office of Classification has undertaken the establishment and maintenance of a comprehensive classification and declassification education program. The training and education program is perpetually evolving with new courses and special briefings as events dictate. Basic courses that are in constant demand are described in this course catalog. Other more specialized courses and briefings have been developed and are available on an "as needed" basis. Classification Training Institute (CTI) 2013 Catalog can be viewed below:

88

National Geothermal Resource Assessment and Classification |...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Resource Assessment and Classification National Geothermal Resource Assessment and Classification This work will enable lower riskcost deployment of conventional and EGS...

89

EPA - UIC Well Classifications | Open Energy Information  

Open Energy Info (EERE)

Well Classifications Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: EPA - UIC Well Classifications Author Environmental Protection Agency Published...

90

HIV classification using coalescent theory  

SciTech Connect

Algorithms for subtype classification and breakpoint detection of HIV-I sequences are based on a classification system of HIV-l. Hence, their quality highly depend on this system. Due to the history of creation of the current HIV-I nomenclature, the current one contains inconsistencies like: The phylogenetic distance between the subtype B and D is remarkably small compared with other pairs of subtypes. In fact, it is more like the distance of a pair of subsubtypes Robertson et al. (2000); Subtypes E and I do not exist any more since they were discovered to be composed of recombinants Robertson et al. (2000); It is currently discussed whether -- instead of CRF02 being a recombinant of subtype A and G -- subtype G should be designated as a circulating recombination form (CRF) nd CRF02 as a subtype Abecasis et al. (2007); There are 8 complete and over 400 partial HIV genomes in the LANL-database which belong neither to a subtype nor to a CRF (denoted by U). Moreover, the current classification system is somehow arbitrary like all complex classification systems that were created manually. To this end, it is desirable to deduce the classification system of HIV systematically by an algorithm. Of course, this problem is not restricted to HIV, but applies to all fast mutating and recombining viruses. Our work addresses the simpler subproblem to score classifications of given input sequences of some virus species (classification denotes a partition of the input sequences in several subtypes and CRFs). To this end, we reconstruct ancestral recombination graphs (ARG) of the input sequences under restrictions determined by the given classification. These restritions are imposed in order to ensure that the reconstructed ARGs do not contradict the classification under consideration. Then, we find the ARG with maximal probability by means of Markov Chain Monte Carlo methods. The probability of the most probable ARG is interpreted as a score for the classification. To our knowledge, this particular problem was not addressed up to now. The software package Lamarc Kuhner et al. (2000) allows for sampling ARGs, but it assumes that recombination events only involve one breakpoint. However, in HIV recombinants usually have more than one breakpoint. Moreover, Lamarc does not perform an explicit breakpoint detection, but tries to find them by chance. Although this approach is suitable for most situations, it will not lead to satisfying results in case of highly recombining viruses with multiple breakpoints.

Zhang, Ming [Los Alamos National Laboratory; Letiner, Thomas K [Los Alamos National Laboratory; Korber, Bette T [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

91

Steam Field | Open Energy Information  

Open Energy Info (EERE)

Field Field Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Sanyal Temperature Classification: Steam Field Dictionary.png Steam Field: No definition has been provided for this term. Add a Definition Sanyal Temp Classification This temperature scheme was developed by Sanyal in 2005 at the request of DOE and GEA, as reported in Classification of Geothermal Systems: A Possible Scheme. Extremely Low Temperature Very Low Temperature Low Temperature Moderate Temperature High Temperature Ultra High Temperature Steam Field Steam field reservoirs are special cases where the fluid is predominantly found in a gas phase between 230°C to 240°C. "This special class of resource needs to be recognized, its uniqueness being the remarkably consistent initial temperature and pressure

92

Statutes, Regulations, and Directives for Classification Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Classification » Statutes, Regulations, and Directives Classification » Statutes, Regulations, and Directives for Classification Program Statutes, Regulations, and Directives for Classification Program Classification Atomic Energy Act of 1954 - Establishes Government-wide policies for classifying, safeguarding, and declassifying Restricted Data information. 10 CFR Part 1045, Nuclear Classification and Declassification - Establishes the Government-wide policies and procedures for implementing sections 141 and 142 of the Atomic Energy Act of 1954 for classifying and declassifying RD and FRD and implements those requirements of Executive Order 12958 concerning NSI that affect the public. Executive Order 13526, Classified National Security Information - Prescribes the Government-wide system for classifying, safeguarding, and

93

Brain MRI Classification using the Expectation Maximization  

E-Print Network (OSTI)

Brain MRI Classification using the Expectation Maximization made a brain magnetic resonance image (MRI) classification algorithm that uses a twostage applied to a set of normal brain MR images for further testing. We accomplished a working

Chen, Tsuhan

94

National Geothermal Resource Assessment and Classification  

Energy.gov (U.S. Department of Energy (DOE))

National Geothermal Resource Assessment and Classification presentation at the April 2013 peer review meeting held in Denver, Colorado.

95

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network (OSTI)

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: FOOD SERVICE HELPER (pay of food service to include food preparation and production, including customer service, equipment be assigned. Direct the activities of student food service workers in assigned area. Assist in the training

Endres. William J.

96

THE UNIVERSITY OF CLASSIFICATION DESCRIPTION  

E-Print Network (OSTI)

1 THE UNIVERSITY OF ROCHESTER CLASSIFICATION DESCRIPTION TITLE: Web Specialist and Analyst DATE: 01 ­ Advancement Service and provide assistance in the development and management of web-based assets, direct solicitations support ­ webpages for print and e-mail marketing support, web development, Share

Portman, Douglas

97

Classification de donnees complexes Nicolas Vayatis  

E-Print Network (OSTI)

Applications N. Vayatis (CMLA - ENS Cachan) Classification Institut Farman 22/5/2008 1 / 28 #12;The medical imaging process N. Vayatis (CMLA - ENS Cachan) Classification Institut Farman 22/5/2008 2 / 28 #12;The. Vayatis (CMLA - ENS Cachan) Classification Institut Farman 22/5/2008 3 / 28 #12;Statistical Model

98

Pit Pattern Classification in Colonoscopy using Wavelets  

E-Print Network (OSTI)

Pit Pattern Classification in Colonoscopy using Wavelets Diplomarbeit zur Erlangung des classification method, namely the pit pattern classification scheme, developed some years ago delivers very on the pit pattern classifica- tion method and all methods are highly focused on different wavelet methods

Uhl, Andreas

99

Explaining data-driven document classifications  

Science Journals Connector (OSTI)

Many document classification applications require human understanding of the reasons for data-driven classification decisions by managers, client-facing employees, and the technical team. Predictive models treat documents as data to be classified, and ... Keywords: comprehensibility, document classification, instance level explanation, text mining

David Martens, Foster Provost

2014-03-01T23:59:59.000Z

100

Discriminant forest classification method and system  

DOE Patents (OSTI)

A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.

Chen, Barry Y.; Hanley, William G.; Lemmond, Tracy D.; Hiller, Lawrence J.; Knapp, David A.; Mugge, Marshall J.

2012-11-06T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" from the National Library of EnergyBeta (NLEBeta).
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101

Classification CommuniQu- Year: 2013  

Energy.gov (U.S. Department of Energy (DOE))

Classification newsletters for the year 2013, consisting of the following issues: CommuniQu 2013-1 - Spring 2013 CommuniQu 2013-2 - Fall 2013

102

Classification Training Institute | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Classification Training Institute Classification Training Institute Classification Training Institute Welcome to the Classification Training Institute (CTI) Webpage. This page provides information for Department of Energy (DOE) and non-DOE personnel concerning courses offered by the CTI, the current course schedule, and provides training and resources (reference materials and links to web pages with additional information) concerning information classified and controlled information within the DOE. This page also contains short animated lessons. If you need a quick refresher on an aspect of classified or controlled information, refer to the section "Online Mini-Lessons" below. Additional lessons are being developed. The training materials provided on this page are for information only. If

103

Seoul, South Korea -classification deteriorating slope stability -Robert Hack 1 SLOPE STABILITY CLASSIFICATION  

E-Print Network (OSTI)

Seoul, South Korea - classification deteriorating slope stability - Robert Hack 1 SLOPE STABILITY CLASSIFICATION OF TIME DEPENDENT DETERIORATING SLOPES Seoul, Korea, 29 February 2008 Robert Hack Engineering) The Netherlands #12;Seoul, South Korea - classification deteriorating slope stability - Robert Hack 2 Jan van

Hack, Robert

104

Soft biometric classification using local appearance periocular region features  

Science Journals Connector (OSTI)

This paper investigates the effectiveness of local appearance features such as Local Binary Patterns, Histograms of Oriented Gradient, Discrete Cosine Transform, and Local Color Histograms extracted from periocular region images for soft classification ... Keywords: Biometrics, Ethnic classification, Gender classification, Periocular

Jamie R. Lyle; Philip E. Miller; Shrinivas J. Pundlik; Damon L. Woodard

2012-11-01T23:59:59.000Z

105

UCSD Implementing Procedures 36/Classification of Positions  

E-Print Network (OSTI)

UCSD Implementing Procedures (HR-S-1) 36/Classification of Positions I. REFERENCES AND RELATED POLICIES A. UCSD Implementing Procedures 20 ­ Recruitment B. UC PPSM 36 - Classification of Positions C shall be obtained prior to any commitment to the concerned individual. III. PROCEDURES A. New

Tsien, Roger Y.

106

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (SyntetosBoylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very robust behaviour. In a 2005 article, entitled On the categorisation of demand patterns published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

G. Heinecke; A.A. Syntetos; W. Wang

2013-01-01T23:59:59.000Z

107

Hyperspectral Data Classification Using Spectral-Spatial Approaches  

E-Print Network (OSTI)

Hyperspectral Data Classification Using Spectral-Spatial Approaches Yuliya Tarabalka1 , Jón Atli classification problem AVIRIS image Spatial resolution: 20m/pix Spectral resolution: 200 bands Ground-truth data.tarabalka@nasa.gov) Spectral-Spatial Classification of Hyperspectral Data 6 #12;Introduction Classification using segmentation

Dobigeon, Nicolas

108

Using Thesaurus to Improve Multiclass Text Classification  

Science Journals Connector (OSTI)

With the growing amount of textual information available on the Internet, the importance of automatic text classification has been increasing in the last decade. In this paper, a system was presented for the clas...

Nooshin Maghsoodi

2011-01-01T23:59:59.000Z

109

Improving Persian Text Classification Using Persian Thesaurus  

Science Journals Connector (OSTI)

This paper proposes an innovative approach to improve the performance of Persian text classification. The proposed method uses a thesaurus as a helpful knowledge to obtain the ... Three types of relationships are...

Hamid Parvin; Behrouz Minaei-Bidgoli

2011-01-01T23:59:59.000Z

110

Crystal Chemical Classification of Silicates: Special Part  

Science Journals Connector (OSTI)

The classification of silicate anions and of silicates described in Chaps. 4 and 6 is clear and straightforward, but it is at the same time, somewhat sophisticated. This is also true for the chemical formulae ...

Professor Dr. Friedrich Liebau

1985-01-01T23:59:59.000Z

111

Combustion of Solid Biomass: Classification of Fuels  

Science Journals Connector (OSTI)

The combustion of solid biomass and the classification of these fuels are considered. Firstly the different methods of combustion appliances and plants are outlined from a ... view. The forms and types of solid biomass

Jenny M. Jones; Amanda R. Lea-Langton

2014-01-01T23:59:59.000Z

112

Audio classification from time-frequency texture  

E-Print Network (OSTI)

Time-frequency representations of audio signals often resemble texture images. This paper derives a simple audio classification algorithm based on treating sound spectrograms as texture images. The algorithm is inspired ...

Slotine, Jean-Jacques E.

113

Linear feature selection for multipopulation classification  

E-Print Network (OSTI)

) December 1974 ABSTRACT Linear Feature Selection for Multipopulation Classification. (December 1974) Kathryn A. Havens, B. S. , Lamar University Chairman of Advisory Committee: Dr. L. F. Guseman, Jr. A classification procedure for n...-dimensional normally distributed observation vectors which belong to one of three populations is de- scribed. In particular, a computational procedure is presented for finding a lxn vector B which minimizes the probability of misclassification with respect...

Havens, Kathryn Anne

2012-06-07T23:59:59.000Z

114

Classification of audio events using permutation transformation  

Science Journals Connector (OSTI)

Abstract Automatic detection and classification of short and nonstationary events in noisy signals is widely considered to be a difficult task for traditional frequency domain and even timefrequency domain approaches. A novel method for audio signal classification is introduced. It is based on statistical properties of the temporal fine structure of audio events. Artificially generated random signals and unvoiced stop consonants of speech are used to evaluate the method. The results show improved recognition accuracy in comparison to traditional approaches.

S. Fagerlund; U.K. Laine

2014-01-01T23:59:59.000Z

115

Geothermometry At Long Valley Caldera Geothermal Area (Mariner...  

Open Energy Info (EERE)

California Michael L. Sorey, Gene A. Suemnicht, Neil C. Sturchio, Gregg A. Nordquist (December 1991) New Evidence On The Hydrothermal System In Long Valley Caldera, California,...

116

Geothermometry At Lassen Volcanic National Park Area (Janik ...  

Open Energy Info (EERE)

but are within the 220-240 degrees C range calculated using cation, sulfate-water isotope, and mixing model geothermometers (Muffler et al., 1982). References (Unknown)...

117

Geothermometry At Long Valley Caldera Geothermal Area (Farrar...  

Open Energy Info (EERE)

each water sample were measured in the field within minutes following collection. Field processing of water samples was conducted in accordance with standard USGS protocols...

118

Geothermometry At Long Valley Caldera Geothermal Area (Sorey...  

Open Energy Info (EERE)

studies, and seem to prove useful in most cases (Flexser, 1991; Goff et al., 1991; Smith and Suemnicht, 1991). Results from these studies are also summarized in Sorey et al....

119

Geothermometry At Roosevelt Hot Springs Geothermal Area (Ward...  

Open Energy Info (EERE)

Area. References S. H. Ward, W. T. Parry, W. P. Nash, W. R. Sill, K. L. Cook, R. B. Smith, D. S. Chapman, F. H. Brown, J. A. Whelan, J. R. Bowman (1978) A Summary of the...

120

Geothermometry At Lassen Volcanic National Park Area (Thompson...  

Open Energy Info (EERE)

Usefulness not indicated DOE-funding Unknown References J. Michael Thompson (1985) Chemistry Of Thermal And Nonthermal Springs In The Vicinity Of Lassen Volcanic National Park...

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Isotope Geothermometry At Lightning Dock Geothermal Area (Witcher...  

Open Energy Info (EERE)

Number DE-FC07-00AL66977 Notes This project deepened a well and took 4 samples from wells around the Lightning Docks KGRA and performed extensive chamical and isotope analysis...

122

Geothermometry At Mt St Helens Area (Shevenell & Goff, 1995)...  

Open Energy Info (EERE)

Fraser Goff (1995) Evolution Of Hydrothermal Waters At Mount St Helens, Washington, Usa Additional References Retrieved from "http:en.openei.orgwindex.php?titleGeothermom...

123

Classification of Carbide Distributions using ScaleSpace Methods Classification of Carbide Distributions using Scale  

E-Print Network (OSTI)

Classification of Carbide Distributions using Scale­Space Methods #12; Classification of Carbide­structure of the steel, which in turn influences the mechanical properties. Specifi­ cally, the distribution of carbide is essential, since cracks propagate within the carbide agglomerations. In current quality control

Lindeberg, Tony

124

Kelly. Segmentation and Classification of HTML Documents SEGMENTATION AND CLASSIFICATION OF HTML DOCUMENTS  

E-Print Network (OSTI)

Kelly. Segmentation and Classification of HTML Documents SEGMENTATION AND CLASSIFICATION OF HTML DOCUMENTS FOR DISPLAY ON SMALL SCREEN DEVICES Peter M. Kelly 1 1 School of Computer Science, The University of the Second Australian Undergraduate Students' Computing Conference, 2004 page 97 #12;Kelly. Segmentation

Rubinstein, Benjamin

125

BROWNIAN MOTION INDEXED BY A TIME SCALE DAVID GROW AND SUMAN SANYAL  

E-Print Network (OSTI)

on the proba- bility space (C0[0, ), P) and the increments Wti - Wti-1 are normally distributed with mean zero

Sanyal, Suman

126

Supercomputer Assisted Generation of Machine Learning Agents Jibonananda Sanyal, Joshua New, and Richard Edwards  

E-Print Network (OSTI)

) with buildings consuming 74% of all electricity and 34% of all natural gas produced. The Department of Energy as an important tool in determining your energy footprint, designing energy-efficient buildings, or optimizing's Building Technologies Office has a significant stake in improving the energy footprint and efficiency

Wang, Xiaorui "Ray"

127

Rotation-based model trees for classification  

Science Journals Connector (OSTI)

Structurally, a model tree is a regression method that takes the form of a decision tree with linear regression functions instead of terminal class values at its leaves. In this study, model trees were coupled with a rotation-based ensemble for solving classification problems. In order to apply this regression technique to classification problems, we considered the conditional class probability function and sought a model-tree approximation to it. During classification, the class whose model tree generated the greatest approximated probability value was chosen as the predicted class. We performed a comparison with other well-known ensembles of decision trees on standard benchmark data sets, and the performance of the proposed technique was greater in most cases.

S.B. Kotsiantis

2010-01-01T23:59:59.000Z

128

The Classification of M1-78  

E-Print Network (OSTI)

The published properties of M1-78 are discussed with the purpose to resolve the object's classification as either a planetary nebula or an ultracompact HII region. A classification as a planetary nebula is rejected primarily because of the high luminosity of the object, but because of the chemical composition and expansion velocity of the nebula, a novel classification is proposed instead: that of an ultracompact HII region with a post-main sequence central star (possibly a WN star). It must therefore follow that observable ultracompact HII regions persist beyond the main sequence lifetimes of at least some massive stars, and so cannot be transient phenomena that are seen only during pre-main sequence or early main sequence evolution.

G. T. Gussie

1994-09-15T23:59:59.000Z

129

Automatic Fish Classification for Underwater Species Behavior Understanding  

E-Print Network (OSTI)

Automatic Fish Classification for Underwater Species Behavior Understanding Concetto Spampinato an automatic fish classi- fication system that operates in the natural underwater en- vironment to assist marine biologists in understanding fish behavior. Fish classification is performed by combining two types

Fisher, Bob

130

Classification and Feature Extraction in Man and Machine  

E-Print Network (OSTI)

Classification and Feature Extraction in Man and Machine Dissertation zur Erlangung des Grades stimuli and for their subsequent classification. A methodology combining human psychophysics and machine learning is introduced, where feature extractors are modeled using methods from unsupervised machine

131

Environmental and Pollution Spatial Data Classification with Support Vector Machines  

E-Print Network (OSTI)

Environmental and Pollution Spatial Data Classification with Support Vector Machines and pollution spatial data analysis and modeling. The main attention is paid to classification of spatially. Introduction Environmental and pollution data are usually spatially distributed and time dependent. At present

Gilardi, Nicolas

132

Crack Fundamental Element (CFE) for Multi-scale Crack Classification  

Science Journals Connector (OSTI)

With the advance of sensor and information technology, high-resolution 2D image and 3D range data are available to support crack classification. However, crack classification still remains a challenge because sta...

Yuchun Huang; Yichang (James) Tsai

2012-01-01T23:59:59.000Z

133

The CLEAR 2006 CMU acoustic environment classification system  

Science Journals Connector (OSTI)

We describe the CLEAR 2006 acoustic environment classification evaluation and the CMU system used in the evaluation. Environment classification is a critical technology for the CHIL Connector service [1] in that Connector relies on maintaining awareness ...

Robert G. Malkin

2006-04-01T23:59:59.000Z

134

A Note on Multistage Methods for Freight Train Classification  

E-Print Network (OSTI)

Freight Train Classification. Dirk Briskorn. 1. , Florian Jaehn. 2,?. November, 2012. 1 Universitt Siegen, Lehrstuhl fr Quantitative Planung, Hlderlinstrae 3,

2012-11-21T23:59:59.000Z

135

Security Framework for Control System Data Classification and...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Data Classification and Protection More Documents & Publications Energy Sector Cybersecurity Framework Implementation Guidance - Draft for Public Comment & Comment Submission...

136

Classification CommuniQu- Year: 2012  

Energy.gov (U.S. Department of Energy (DOE))

Classification newsletters for the year 2012 consisting of the following issues: CommuniQu 2012-1 - March/April 2012 CommuniQu 2012-2 - September/October 2012 CommuniQu 2012-2 - September/October 2012 - Crossword Puzzle Solution

137

Assessing the aggregation of parameterized imprecise classification  

Science Journals Connector (OSTI)

This work is based on classifiers that can yield possibilistic valuations as output, that may have been obtained from a labeled data set either directly as such, by possibilistic classifiers, or by transforming the output of probabilistic classifiers ... Keywords: Classification, Fuzzy Sets Theory, Imprecision, Possibility Theory

Isabela Drummond; Joaquim Melendez; Sandra Sandri

2006-05-01T23:59:59.000Z

138

Classification of five dimensional nilpotent Jordan algebras  

E-Print Network (OSTI)

We use the method which has been described in [1] to give a classification of 5-dimensional nilpotent Jordan algebras over an algebraically closed fields of characteristic different from two. We show that there are 44 classes of non-associative nilpotent Jordan algebras, up to isomorphism each class has only one algebra except 6 classes contain infinite number of non-isomorphic algebras.

A. S. Hegazi; Hani Abdelwahab

2014-01-16T23:59:59.000Z

139

BLINC: Multilevel Traffic Classification in the Dark  

E-Print Network (OSTI)

the dark" ­ No port numbers ­ No payload web streaming P2P #12;3 The problem of workload characterizationBLINC: Multilevel Traffic Classification in the Dark Thomas Karagiannis, UC Riverside Konstantina ­ Why in the dark? · Traffic profiling based on TCP/UDP ports ­ Misleading · Payload

Rajamani, Sriram K.

140

Information imperfection processing in supervised classification systems  

Science Journals Connector (OSTI)

Along with possibility theory, fuzzy relation composition rules will be used in our novel approach to deal with the imperfection and the uncertainty that can affect the information elements in any classification system. This takes place at the level ... Keywords: fuzzy relation composition, information imperfection and uncertainty, possibility theory

Anas Dahabiah; Basel Solaiman; John Puentes

2010-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Route classification using cellular handoff patterns  

Science Journals Connector (OSTI)

Understanding utilization of city roads is important for urban planners. In this paper, we show how to use handoff patterns from cellular phone networks to identify which routes people take through a city. Specifically, this paper makes three contributions. ... Keywords: handoff patterns, route classification

Richard A. Becker; Ramon Caceres; Karrie Hanson; Ji Meng Loh; Simon Urbanek; Alexander Varshavsky; Chris Volinsky

2011-09-01T23:59:59.000Z

142

Medical image classification with multiple kernel learning  

Science Journals Connector (OSTI)

Nowadays, medical images are generated by hospitals and medical centers rapidly. The large volume of medical image data produces a strong need to effective medical image retrieval. The visual characteristic of medical image, such as modality, anatomical ... Keywords: feature fusion, image classification, medical imaging, multiple kernel learning

Hong Wu; Hao Zhang; Chao Li

2010-12-01T23:59:59.000Z

143

Classification procedure in limited angle tomography system  

SciTech Connect

In this work we propose the use of limited angle reconstruction algorithms combined with a procedure for defect detection and feature evaluation in three dimensions. The procedure consists of the following steps: acquisition of the X-ray projections, approximated limited angle 3D image reconstruction, and image preprocessing and classification.

Chlewicki, W.; Baniukiewicz, P.; Chady, T.; Brykalski, A. [Faculty of Electrical Engineering, Westpomeranian University of Technology, Szczecin (Poland)

2011-06-23T23:59:59.000Z

144

Image-based Vehicle Classification System  

E-Print Network (OSTI)

Electronic toll collection (ETC) system has been a common trend used for toll collection on toll road nowadays. The implementation of electronic toll collection allows vehicles to travel at low or full speed during the toll payment, which help to avoid the traffic delay at toll road. One of the major components of an electronic toll collection is the automatic vehicle detection and classification (AVDC) system which is important to classify the vehicle so that the toll is charged according to the vehicle classes. Vision-based vehicle classification system is one type of vehicle classification system which adopt camera as the input sensing device for the system. This type of system has advantage over the rest for it is cost efficient as low cost camera is used. The implementation of vision-based vehicle classification system requires lower initial investment cost and very suitable for the toll collection trend migration in Malaysia from single ETC system to full-scale multi-lane free flow (MLFF). This project ...

Ng, Jun Yee

2012-01-01T23:59:59.000Z

145

Stochastic modeling western paintings for effective classification  

Science Journals Connector (OSTI)

As one of the most important cultural heritages, classical western paintings have always played a special role in human live and been applied for many different purposes. While image classification is the subject of a plethora of related publications, ... Keywords: Classic western paintings, Cultural heritage, Identification, Image retrieval

Jialie Shen

2009-02-01T23:59:59.000Z

146

Discriminant Absorption Feature Learning for Material Classification  

E-Print Network (OSTI)

1 Discriminant Absorption Feature Learning for Material Classification Zhouyu Fu, Antonio Robles in spectral imaging by combining the use of invariant spectral absorption features and statistical machine learning techniques. Our method hinges in the relevance of spectral absorption features for material

Robles-Kelly, Antonio

147

ON TOPOLOGICAL TITS BUILDINGS AND THEIR CLASSIFICATION  

E-Print Network (OSTI)

ON TOPOLOGICAL TITS BUILDINGS AND THEIR CLASSIFICATION by KEITH BURNS (1) and RA*F SPATZIER (2) Abstract We define topological Tits buildings. If a topological building A satisfies some technical of the Moufang property, then it is a building canonically associated with a Lie group. If A satisfies all

Spatzier, Ralf

148

Genetic programming and serial processing for time series classification  

Science Journals Connector (OSTI)

This work describes an approach devised by the authors for time series classification. In our approach genetic programming is used in combination with a serial processing of data, where the last output is the result of the classification. The use of ... Keywords: Classification, genetic programming, real world applications, serial data processing, time series

Eva Alfaro-Cid; Ken Sharman; Anna I. Esparcia-Alczar

2014-06-01T23:59:59.000Z

149

Early pigmentary retinosis diagnostic based on classification trees  

Science Journals Connector (OSTI)

In this work we analyze different classification tree based techniques (CART, Bagging and Boosting), evaluating their performance with respect to their capability to reduce error rate and correct pattern classification. As a case of study we propose ... Keywords: bagging, boosting, classification and regression trees (CART), pigmentary retinosis

Vivian Sistachs Vega; Gonzalo Joya Caparrs; Miguel A. Daz Martnez

2011-06-01T23:59:59.000Z

150

COMPARISON OF KERNELBASED MODELS FOR BINARY CLASSIFICATION OF ENVIRONMENTAL DATA  

E-Print Network (OSTI)

1 COMPARISON OF KERNEL­BASED MODELS FOR BINARY CLASSIFICATION OF ENVIRONMENTAL DATA V. Polishchuk ABSTRACT The task of real­world environmental data classification was approached with different models simulation -- which arise in environmental modeling, classification between two classes may be considered

151

Aperture Effects on Spectroscopic Galaxy Activity Classification  

E-Print Network (OSTI)

Activity classification of galaxies based on long-slit and fiber spectroscopy can be strongly influenced by aperture effects. Here we investigate how activity classification for 14 nearby galaxies depends on the proportion of the host galaxy's light that is included in the aperture. We use both observed long-slit spectra and simulated elliptical-aperture spectra of different sizes. The degree of change varies with galaxy morphology and nuclear activity type. Starlight removal techniques can mitigate but not remove the effect of host galaxy contamination in the nuclear aperture. Galaxies with extra-nuclear star formation can show higher [O III] {\\lambda}5007/H{\\beta} ratios with increasing aperture, in contrast to the naive expectation that integrated light will only dilute the nuclear emission lines. We calculate the mean dispersion for the diagnostic line ratios used in the standard BPT diagrams with respect to the central aperture of spectral extraction to obtain an estimate of the uncertainties resulting f...

Maragkoudakis, A; Ashby, M L N; Willner, S P

2014-01-01T23:59:59.000Z

152

Object segmentation and classification using 3-D range camera  

Science Journals Connector (OSTI)

This paper proposes a vision system using a 3-D range camera for scene segmentation and pedestrian classification. The system detects and segments objects in the foreground, measures their distances to the camera, and classifies them into pedestrians ... Keywords: 3-D range image segmentation, Assistive navigation, Feature extraction, Image segmentation evaluation, Object classification, Pedestrian classification, RGB-D image processing, Range/intensity image processing

Xue Wei; Son Lam Phung; Abdesselam Bouzerdoum

2014-01-01T23:59:59.000Z

153

Updating the Classification of Geothermal Resources | Open Energy  

Open Energy Info (EERE)

Updating the Classification of Geothermal Resources Updating the Classification of Geothermal Resources Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Updating the Classification of Geothermal Resources Abstract Resource classification is a key element in the characterization, assessment and development of energy resources, including geothermal energy. Stakeholders at all levels of government, within the geothermal industry, and among the general public need to be able to use and understand consistent terminology when addressing geothermal resource issues such as location, quality, feasibility of development, and potential impacts. This terminology must encompass both the fundamentally geological nature of geothermal resources and the practical technological and economic

154

Artificial Neural Networks as a Tool for Galaxy Classification  

E-Print Network (OSTI)

We describe an Artificial Neural Network (ANN) approach to classification of galaxy images and spectra. ANNs can replicate the classification of galaxy images by a human expert to the same degree of agreement as that between two human experts, to within 2 T-type units. Similar methods are applied to classification of galaxy spectra. In particular, Principal Component Analysis of galaxy spectra can be used to compress the data, to suppress noise and to provide input to the ANNs. These and other classification methods will soon be applied to the Anglo-Australian 2-degree-Field (2dF) redshift survey of 250,000 galaxies.

Ofer Lahav

1996-12-10T23:59:59.000Z

155

A Note on Multistage Methods for Freight Train Classification  

E-Print Network (OSTI)

Nov 21, 2012 ... Abstract: The paper Multistage Methods for Freight Train Classification by Jacob et al. ([2]) provides a great insight to the theory and practice...

Dirk Briskorn

2012-11-21T23:59:59.000Z

156

ON THE CLASSIFICATION OF NUCLEAR C-ALGEBRAS  

E-Print Network (OSTI)

allow us to reprove, from a handful of basic results, the classification of purely infinite nuclear C?-algebras of Kirchberg and Phillips. Received 1 October 1999;

2002-05-28T23:59:59.000Z

157

Microsoft Word - Data Classification Security Framework V5.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

888P Unlimited Release Printed July 2007 Security Framework for Control System Data Classification and Protection Bryan T. Richardson and John Michalski Prepared by Sandia National...

158

Systematic Classification of Phase Contours and Zeros  

Science Journals Connector (OSTI)

A systematic classification of phases contours and zeros is introduced and their effect on asymptotic behavior investigated. A constraint is found on the spacing of closed contours if they are not to contribute to asymptotic behavior. Use is made of a theorem due to Plya and Szeg about entire functions with real negative zeros. The concept of topological equivalence of phase contour maps is discussed. The theorem due to Plya and Szeg is applied to the fixed-angle scattering amplitude with the assumption that certain kinds of contours or zeros dominate this leads to a constraint on the order of the entire function by which the amplitude may be approximated.

G. D. Kaiser

1969-07-25T23:59:59.000Z

159

Classification of multifluid CP world models  

E-Print Network (OSTI)

Various classification schemes exist for homogeneous and isotropic (CP) world models, which include pressureless matter (so-called dust) and Einstein's cosmological constant Lambda. We here classify the solutions of more general world models consisting of up to four non-interacting fluids, each with pressure P, energy density epsilon and an equation of state P = (gamma - 1) epsilon with 0 0) tends to yield the smoothest fits of the Supernova Ia data from Perlmutter et al. (1999). Adopting the SN Ia constraints, exotic negative energy density components can be fittingly included only if the universe consists of four or more fluids.

Jens Thomas; Hartmut Schulz

2000-12-20T23:59:59.000Z

160

A classification scheme for LWR fuel assemblies  

SciTech Connect

With over 100 light water nuclear reactors operating nationwide, representing designs by four primary vendors, and with reload fuel manufactured by these vendors and additional suppliers, a wide variety of fuel assembly types are in existence. At Oak Ridge National Laboratory, both the Systems Integration Program and the Characteristics Data Base project required a classification scheme for these fuels. This scheme can be applied to other areas and is expected to be of value to many Office of Civilian Radioactive Waste Management programs. To develop the classification scheme, extensive information on the fuel assemblies that have been and are being manufactured by the various nuclear fuel vendors was compiled, reviewed, and evaluated. It was determined that it is possible to characterize assemblies in a systematic manner, using a combination of physical factors. A two-stage scheme was developed consisting of 79 assembly types, which are grouped into 22 assembly classes. The assembly classes are determined by the general design of the reactor cores in which the assemblies are, or were, used. The general BWR and PWR classes are divided differently but both are based on reactor core configuration. 2 refs., 15 tabs.

Moore, R.S.; Williamson, D.A.; Notz, K.J.

1988-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Classification of oxide glasses: A polarizability approach  

SciTech Connect

A classification of binary oxide glasses has been proposed taking into account the values obtained on their refractive index-based oxide ion polarizability {alpha}{sub O2-}(n{sub 0}), optical basicity {lambda}(n{sub 0}), metallization criterion M(n{sub 0}), interaction parameter A(n{sub 0}), and ion's effective charges as well as O1s and metal binding energies determined by XPS. Four groups of oxide glasses have been established: glasses formed by two glass-forming acidic oxides; glasses formed by glass-forming acidic oxide and modifier's basic oxide; glasses formed by glass-forming acidic and conditional glass-forming basic oxide; glasses formed by two basic oxides. The role of electronic ion polarizability in chemical bonding of oxide glasses has been also estimated. Good agreement has been found with the previous results concerning classification of simple oxides. The results obtained probably provide good basis for prediction of type of bonding in oxide glasses on the basis of refractive index as well as for prediction of new nonlinear optical materials.

Dimitrov, Vesselin [Department of Silicate Technology, University of Chemical Technology and Metallurgy, 8 Kl. Ohridski Blvd., Sofia 1756 (Bulgaria); Komatsu, Takayuki [Department of Chemistry, The Nagaoka University of Technology, 1603-1 Kamitomioka-cho, Nagaoka-shi, Niigata-ken 940-2188 (Japan)]. E-mail: komatsu@chem.nagaokaut.ac.jp

2005-03-15T23:59:59.000Z

162

On the classification of type D spacetimes  

E-Print Network (OSTI)

We give a classification of the type D spacetimes based on the invariant differential properties of the Weyl principal structure. Our classification is established using tensorial invariants of the Weyl tensor and, consequently, besides its intrinsic nature, it is valid for the whole set of the type D metrics and it applies on both, vacuum and non-vacuum solutions. We consider the Cotton-zero type D metrics and we study the classes that are compatible with this condition. The subfamily of spacetimes with constant argument of the Weyl eigenvalue is analyzed in more detail by offering a canonical expression for the metric tensor and by giving a generalization of some results about the non-existence of purely magnetic solutions. The usefulness of these results is illustrated in characterizing and classifying a family of Einstein-Maxwell solutions. Our approach permits us to give intrinsic and explicit conditions that label every metric, obtaining in this way an operational algorithm to detect them. In particular a characterization of the Reissner-Nordstr\\"{o}m metric is accomplished.

J. J. Ferrando; J. A. Sez

2002-12-20T23:59:59.000Z

163

A GENERIC AUDIO CLASSIFICATION AND SEGMENTATION APPROACH FOR MULTIMEDIA INDEXING AND RETRIEVAL  

E-Print Network (OSTI)

A GENERIC AUDIO CLASSIFICATION AND SEGMENTATION APPROACH FOR MULTIMEDIA INDEXING AND RETRIEVAL the attention on the area of generic and automatic audio classification and segmentation for audio audio classification and global segmentation framework based on automatic audio analysis providing

Gabbouj, Moncef

164

A Classification of Riparian Wetland Plant Associations of Colorado  

E-Print Network (OSTI)

A Classification of Riparian Wetland Plant Associations of Colorado A Users Guide: Colorado Natural Heritage Program 254 General Services Bldg. Colorado State University Fort Collins, CO of Riparian Wetland Plant Associations of Colorado: User Guide to the Classification Project. Colorado Natural

165

Novel Artificial Neural Networks For Remote-Sensing Data Classification  

E-Print Network (OSTI)

Novel Artificial Neural Networks For Remote-Sensing Data Classification Xiaoli Tao* and Howard E artificial neural network architectures applied to multi-class classification problems of remote-sensing data. These approaches are 1) a spiking-neural-network model for the partitioning of data into clusters, and 2) a neuron

Michel, Howard E.

166

Exploring neighborhood and spatial information for improving scene classification  

Science Journals Connector (OSTI)

A good image descriptor is essential for the scene classification task. This work proposes an improvement for the Contextual Mean Census Transform (CMCT), an image descriptor, obtained by adding information from distant neighbors to the non-parametric ... Keywords: Contextual information, Image descriptor, Non-parametric transform, Scene classification, Spatial arrangement information

Kelly Assis De Souza Gazolli, Evandro Ottoni Teatini Salles

2014-09-01T23:59:59.000Z

167

Report on the Workshop on Operational Text Classification Systems  

E-Print Network (OSTI)

, user needs, personnel and training, resource demands, maintaining effectiveness over time, and inteReport on the Workshop on Operational Text Classification Systems (OTC-01) David D. Lewis on Operational Text Classification (OTC-01), occurred September 13, 2001 in New Orleans, Louisiana, US. It was co

Sebastiani, Fabrizio

168

Simple classification of walking activities using commodity smart phones  

Science Journals Connector (OSTI)

People interact with mobile computing devices everywhere, while sitting, walking, running or even driving. Adapting the interface to suit these contexts is important, thus this paper proposes a simple human activity classification system. Our approach ... Keywords: accelerometer, activity classification, context-aware, mobile computing, sensor technology, ubiquitous computing, user experience, user interface

Zachary Fitz-Walter; Dian Tjondronegoro

2009-11-01T23:59:59.000Z

169

Classification and knowledge discovery in protein databases Predrag Radivojaca,1  

E-Print Network (OSTI)

structure [2], tertiary structure [3], protein disorder [4,5], relative solvent accessibility [6], switchClassification and knowledge discovery in protein databases Predrag Radivojaca,1 , Nitesh V Abstract We consider the problem of classification in noisy, high-dimensional, and class-imbalanced protein

Obradovic, Zoran

170

Random Forest Classification for Training a Brain Computer Interface (BCI)  

E-Print Network (OSTI)

Random Forest Classification for Training a Brain Computer Interface (BCI) Abstract1 Brain brain activity. Most3 existing BCIs detect specific mental activity in a so-called synchronous4 paradigm extraction7 followed by a classification scheme to detect intentions from the brain8 signal. In this paper

de Freitas, Nando

171

Visual traffic surveillance framework: classification to event detection  

E-Print Network (OSTI)

effective. Traffic surveil- lance systems with the ability to detect, count, and classify vehicles can systems. However, vehicle classification poses a difficult problem as vehicles have high intra- class into a unified traffic surveillance system for on- line classification of vehicles, which uses tracking results

Nicolescu, Mircea

172

Pitch Based Sound Classification A master's thesis by  

E-Print Network (OSTI)

Pitch Based Sound Classification A master's thesis by Andreas Brinch Nielsen 15 August 2005 is on classification based on the pitch of the signal, and three classes, music, noise and speech, is used. Unfortunately pitch is not straightforward to extract, and the first part of the project is about finding

173

IIT at TREC-2003 Task Classification & Document Structure for  

E-Print Network (OSTI)

IIT at TREC-2003 Task Classification & Document Structure for Known-Item Search Steve Beitzel, Eric on fusion of result sets generated by query runs over independent parts of the document structure. Our task the median. Keywords: Known-item search, document structure retrieval, query task classification Introduction

174

Classification of Aeronautics System Health and Safety Documents  

E-Print Network (OSTI)

1 Classification of Aeronautics System Health and Safety Documents Nikunj Oza, Member, IEEE, J to support tracking trends in problem categories over time. A decision support system that performs consistent document classification quickly and over large repositories would be very useful. We discuss

Oza, Nikunj C.

175

Automatic Tissue Classification for the Human Head from Multispectral MRI  

E-Print Network (OSTI)

1 Automatic Tissue Classification for the Human Head from Multispectral MRI Tolga Tasdizen, David for classifying multispectral MR scans of the human head into nine tissue classes. User initialization is adopted. #12;Chapter 1 Introduction Classification of head magnetic resonance imaging (MRI) data

Utah, University of

176

Some context fuzzy clustering methods for classification problems  

Science Journals Connector (OSTI)

In this paper, we will propose a two-context fuzzy clustering algorithm (2C-FCM) and its parallel solution so called P2C-FCM for the classification problems. Some initial experiments show the effectiveness of P2C-FCM and 2C-FCM when comparing with traditional ... Keywords: classification, fuzzy rules, parallel fuzzy clustering

Bui Cong Cuong; Le Hoang Son; Hoang Thi Minh Chau

2010-08-01T23:59:59.000Z

177

Program Transformation Mechanics A Classification of Mechanisms for Program Transformation  

E-Print Network (OSTI)

Program Transformation Mechanics A Classification of Mechanisms for Program Transformation with a Survey of Existing Transformation Systems Jonne van Wijngaarden Eelco Visser UU-CS-2003-048 Institute Transformation Mechanics A Classification of Mechanisms for Program Transformation with a Survey of Existing

Utrecht, Universiteit

178

Multivariate classification of infrared spectra of cell and tissue samples  

DOE Patents (OSTI)

Multivariate classification techniques are applied to spectra from cell and tissue samples irradiated with infrared radiation to determine if the samples are normal or abnormal (cancerous). Mid and near infrared radiation can be used for in vivo and in vitro classifications using at least different wavelengths.

Haaland, David M. (Albuquerque, NM); Jones, Howland D. T. (Albuquerque, NM); Thomas, Edward V. (Albuquerque, NM)

1997-01-01T23:59:59.000Z

179

Multiple perceptual neighborhoods-based feature construction for pattern classification  

Science Journals Connector (OSTI)

Feature construction is much critical to support classification tasks when a combination of the original features carries more discriminative information. However, the construction of features usually implies searching a very large space of possibilities ... Keywords: Classification, Feature construction, Feature selection, Neighborhoods

Guihua Wen, Lijun Jiang, Jun Wen

2014-10-01T23:59:59.000Z

180

Ris-R-1555(EN) ACCUWIND -Methods for Classification  

E-Print Network (OSTI)

.1.3The gust generator 11 3.1.4Light propellers to measure instantaneous wind speed 12 3.2 Conversion associated with the measurement of wind speed are the major sources of uncertainties in power performance.1 Classification Principles 6 2.2 Classification index 8 2.3 Defining Measured Wind Speed 9 3. Laboratory and Wind

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

North American Industry Classification System (NAICS) Search Tool |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

North American Industry Classification System (NAICS) Search Tool North American Industry Classification System (NAICS) Search Tool North American Industry Classification System (NAICS) Search Tool The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and publishing statistical data related to the U.S. business economy. NAICS was developed under the auspices of the Office of Management and Budget, and adopted in 1997 to replace the Standard Industrial Classification system. Through our website, you can search for procurement opportunities using your company's NAICS code, and you can learn more about the history of purchasing for your NAICS code at the Department. Visit our Industry Information page to learn more about our procurements by

182

Annotation-based document classification using shuffled frog leaping algorithm  

Science Journals Connector (OSTI)

The number of online documents has grown greatly in recent years due to the increase in popularity of World Wide Web (WWW). The main task of assigning a document of corpus to a set of previously fixed categories is known as document classification. The main issues of document classification involve extraction of discriminating features and then classification of documents based on these features. The accuracy of classification can be improved by considering semantic relation between documents. The proposed work uses annotation retrieval wisdom to improve the accuracy of the document retrieval based on semantic relatedness. Shuffled frog leaping (SFL) algorithm promotes the idea of efficient document classification. Annotation uses singular value decomposition (SVD) which helps to obtain a semantic relationship among documents. This facilitates the accurate retrieval of knowledge between individual and various classes of documents.

C. Kavitha; G. Sudha Sadasivam; M.A. Priya

2014-01-01T23:59:59.000Z

183

An evaluation of the PIE classification system in psychiatric social work .  

E-Print Network (OSTI)

??This study is born from the motivation to empower psychiatric social workers in South Africa with a classification system that compares well to classification systems (more)

Oosthuizen, Rika

2012-01-01T23:59:59.000Z

184

Terrorism Event Classification Using Fuzzy Inference Systems  

E-Print Network (OSTI)

Terrorism has led to many problems in Thai societies, not only property damage but also civilian casualties. Predicting terrorism activities in advance can help prepare and manage risk from sabotage by these activities. This paper proposes a framework focusing on event classification in terrorism domain using fuzzy inference systems (FISs). Each FIS is a decision-making model combining fuzzy logic and approximate reasoning. It is generated in five main parts: the input interface, the fuzzification interface, knowledge base unit, decision making unit and output defuzzification interface. Adaptive neuro-fuzzy inference system (ANFIS) is a FIS model adapted by combining the fuzzy logic and neural network. The ANFIS utilizes automatic identification of fuzzy logic rules and adjustment of membership function (MF). Moreover, neural network can directly learn from data set to construct fuzzy logic rules and MF implemented in various applications. FIS settings are evaluated based on two comparisons. The first evaluat...

Inyaem, Uraiwan; Meesad, Phayung; Tran, Dat

2010-01-01T23:59:59.000Z

185

Automated Stellar Spectral Classification and Parameterization for the Masses  

E-Print Network (OSTI)

Stellar spectroscopic classification has been successfully automated by a number of groups. Automated classification and parameterization work best when applied to a homogeneous data set, and thus these techniques primarily have been developed for and applied to large surveys. While most ongoing large spectroscopic surveys target extragalactic objects, many stellar spectra have been and will be obtained. We briefly summarize past work on automated classification and parameterization, with emphasis on the work done in our group. Accurate automated classification in the spectral type domain and parameterization in the temperature domain have been relatively easy. Automated parameterization in the metallicity domain, formally outside the MK system, has also been effective. Due to the subtle effects on the spectrum, automated classification in the luminosity domain has been somewhat more difficult, but still successful. In order to extend the use of automated techniques beyond a few surveys, we present our current efforts at building a web-based automated stellar spectroscopic classification and parameterization machine. Our proposed machinery would provide users with MK classifications as well as the astrophysical parameters of effective temperature, surface gravity, mean abundance, abundance anomalies, and microturbulence.

Ted von Hippel; Carlos Allende Prieto; Chris Sneden

2002-08-08T23:59:59.000Z

186

Defect characterization and classification for the ICON inspection reliability trials  

SciTech Connect

A major series of inspection reliability trials have been conducted as part of the ICON project, a THERMIE Joint Industry project. Part of the ICON work involved developing a procedure for characterization of the library of cracks. This will be reported in the paper. A second area considered was that of defect classification. This involved a reassessment of previously used classification, in the light of risk based inspection scheduling requirements, and the introduction of a new classification based on PD6493. This work will also be reported together with examples of the measured Probability of Detection curves.

Dover, W.D.; Rudlin, J. [University College London (United Kingdom). NDE Center

1996-12-31T23:59:59.000Z

187

National Security Information Classification Guidance Fundamental Review, June 2012  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Security Security Information Fundamental Classification Guidance Review Report to the Information Security Oversight Office June 2012 United States Department of Energy Washington, DC 20585 Department of Energy | June 2012 National Security Information Fundamental Classification Guidance Review | Page iii Executive Summary Section 1.9 of Executive Order (E.O.) 13526, Classified National Security Information, dated December 29, 2009, directs agency heads to complete a comprehensive review of agency classification guides to ensure they reflect current circumstances and to identify classified information that no longer requires protection and can be declassified. To meet this requirement, the Department of Energy (DOE), under the direction of the Senior Agency Official, devoted

188

Classification of Voltage Sags Based on MPCA Models  

Science Journals Connector (OSTI)

In this paper, we introduce a new framework for classification of short duration voltage reductions in the area of Power Quality Monitoring using Multiway Principal Component Analysis (MPCA). Firstly, we recast the sags occurred in High Voltage (HV) ...

Abbas Khosravi; Joaquim Melendez; Joan Colomer

2007-06-01T23:59:59.000Z

189

Galaxy Classification by Human Eyes and by Artificial Neural Networks  

E-Print Network (OSTI)

The rapid increase in data on galaxy images at low and high redshift calls for re-examination of the classification schemes and for new automatic objective methods. Here we present a classification method by Artificial Neural Networks. We also show results from a comparative study we carried out using a new sample of 830 APM digitised galaxy images. These galaxy images were classified by 6 experts independently. It is shown that the ANNs can replicate the classification by a human expert almost to the same degree of agreement as that between two human experts, to within 2 $T$-type units. Similar methods can be applied to automatic classification of galaxy spectra. We illustrate it by Principal Component Analysis of galaxy spectra, and discuss future large surveys.

Ofer Lahav

1995-05-19T23:59:59.000Z

190

Improving Persian Text Classification and Clustering Using Persian Thesaurus  

Science Journals Connector (OSTI)

This paper proposes an innovative approach to improve the classification performance of Persian texts. The proposed method uses a thesaurus as a helpful knowledge to obtain more ... of word relationships are cons...

Hamid Parvin; Atousa Dahbashi; Sajad Parvin

2012-01-01T23:59:59.000Z

191

CLASSIFICATION AND REACTIVITY OF SECONDARY ALUMINUM PRODUCTION WASTE  

E-Print Network (OSTI)

aluminum30 production process emits seventeen (17) times less pollution to the atmosphere (see Table 1 in the ASCE Journal of Hazardous, Toxic, and Radioactive Waste November 8, 2012 #12;2 Classification

192

Classification of Threats Via a Multi-sensor Security Portal  

Science Journals Connector (OSTI)

Classification of threats has always been a major security decision ... walks through a security portal. To classify threat by combining data from multiple sensors like ... metal detectors. We wish to identify th...

Amar Singh; Lawrence Holder

2006-01-01T23:59:59.000Z

193

Toward a Classification Approach to Design Douglas R. Smith  

E-Print Network (OSTI)

Toward a Classification Approach to Design Douglas R. Smith Kestrel Institute, 3260 Hillview Avenue, Palo Alto, California 94304, USA smith@kestrel.edu 18 March 1996 Abstract. This paper addresses

Smith, Douglas R.

194

SUSTAINABILITY POLICY University Policy No: GV0800 (1794) Classification: Governance  

E-Print Network (OSTI)

SUSTAINABILITY POLICY University Policy No: GV0800 (1794) Classification: Governance Approving resources in a responsible manner, and work towards a sustainable future in cooperation with organizations to assist the University Community in incorporating Sustainability into decision making and provides

Victoria, University of

195

Biomedical Images Classification by Universal Nearest Neighbours Classifier  

E-Print Network (OSTI)

Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior scheme robust among different biomedical image datasets. To this aim, we compare unn performance paradigms. The results on one private and five public biomedical datasets show satisfactory performance. 1

Paris-Sud XI, Université de

196

WNClASSIflfO CLASSIFICATION CANCELLED  

NLE Websites -- All DOE Office Websites (Extended Search)

WNClASSIflfO WNClASSIflfO ^ CLASSIFICATION CANCELLED DATE FEB 1 6 1957 For The Atomic Cnargy Commission *74/^ Cl

197

Neural net application to transmission line fault detection and classification  

E-Print Network (OSTI)

NEURAL NET APPLICATION TO TRANSMISSION LINE FAULT DETECTION AND CLASSIFICATION A Thesis by IGOR RIKALO Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approve as to style... Applicanon to Transmission Line Fault Detection and Classification. (December 1994) Igor Rikalo, B. S. University of Sarajevo Chair of Advisory Committee: Dr. Mladen Kezunovic Today, in electric power systems, a large amount of data is made readily...

Rikalo, Igor

2012-06-07T23:59:59.000Z

198

Rank-based SLOCC classification for odd n qubits  

E-Print Network (OSTI)

We study the entanglement classification under stochastic local operations and classical communication (SLOCC) for odd n-qubit pure states. For this purpose, we introduce the rank with respect to qubit i for an odd n-qubit state. The ranks with respect to qubits 1,2,...,n give rise to the classification of the space of odd n qubits into 3^n families.

Xiangrong Li; Dafa Li

2011-06-21T23:59:59.000Z

199

An error correcting procedure for imperfect supervised, nonparametric classification  

E-Print Network (OSTI)

AN ERROR CORRECTING PROCEDJJRE FOR IMPERFECTI, Y SUPERVISED, NONPARAMETRIC CLASSIFICATION A Thesis by DENNIS RAY FERRELL Submitted to the Graduate College of Texas AAM University in partial fulfillment of the requirement for the degree...) (Head f Depart en ) (Member) (Member) PE y (Memb ei) (Member) August 1973 ABSTRACT An Error Correcting Procedure For Imperfectly Supervised, Nonparametric Classification (August 1973) Dennis Ray Ferrell, B. S. , I, omar University Directed by...

Ferrell, Dennis Ray

2012-06-07T23:59:59.000Z

200

Classification and waterfowl use of ponds in south Texas  

E-Print Network (OSTI)

LITERATURE REVIEW STUDY AREA 10 pond Formation 12 METHODS RESULTS 13 26 Pond Suruey Pond Classification Water Quality Vegetation Classification System Estuarine/intertidal/unconsolidated shore Lacustrine/limnetic/aquatic bed Lacustrine/litton'al/unconsolidated... bottom Lacustrine/littoral/aquatic bed Lacustrine/littoral/unconsolidated shore Lacustrine/limnetic s littoral/ aquatic bed Lacustrine/limnetic a littoral/ unconsolidated shore a uncon- solidated bottom 26 33 33 38 41 46 46 49 49 50 51...

McAdams, Matthew Stephen

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

T-SA-00582-2004.R1 A Generic Audio Classification and Segmentation Approach for Multimedia Indexing and Retrieval 1 A Generic Audio Classification and  

E-Print Network (OSTI)

T-SA-00582-2004.R1 A Generic Audio Classification and Segmentation Approach for Multimedia Indexing and Retrieval 1 A Generic Audio Classification and Segmentation Approach for Multimedia Indexing and Retrieval of generic and automatic audio classification and segmentation for audio-based multimedia indexing

Gabbouj, Moncef

202

Sugata Sanyal A tallish man in his 40's sitting on the little shadow of a makeshift  

E-Print Network (OSTI)

his weathered hand above his black dry eyes, used mainly to keep watch on goats, to examine whether. On asking, he explained that he is going to take another flight from Mumbai to Riyadh in Saudi Arabia

Sanyal, Sugata

203

An Artificial Neural Network Approach to Classification of Galaxy Spectra  

E-Print Network (OSTI)

We present a method for automated classification of galaxies with low signal-to-noise (S/N) spectra typical of redshift surveys. We develop spectral simulations based on the parameters for the 2dF Galaxy Redshift Survey, and with these simulations we investigate the technique of Principal Component Analysis when applied specifically to spectra of low S/N. We relate the objective principal components to features in the spectra and use a small number of components to successfully reconstruct the underlying signal from the low quality spectra. Using the principal components as input, we train an Artificial Neural Network to classify the noisy simulated spectra into morphological classes, revealing the success of the classification against the observed $b_{\\rm J}$ magnitude of the source, which we compare with alternative methods of classification. We find that more than 90\\% of our sample of normal galaxies are correctly classified into one of five broad morphological classes for simulations at $b_{\\rm J}$=19.7. By dividing the data into separate sets we show that a classification onto the Hubble sequence is only relevant for normal galaxies and that spectra with unusual features should be incorporated into a classification scheme based predominantly on their spectral signatures. We discuss how an Artificial Neural Network can be used to distinguish normal and unusual galaxy spectra, and discuss the possible application of these results to spectra from galaxy redshift surveys.

S. R. Folkes; O. Lahav; S. J. Maddox

1996-08-13T23:59:59.000Z

204

Chapter Five The Classification and Applications of Liquid Lubricants  

Science Journals Connector (OSTI)

Publisher Summary This chapter discusses the classification and applications of liquid lubricants. As a result of technical developments, currently many types of lubricating oils and special fluids exist. The technical needs are expressed in various commercial criteria used for oil classification. The type of equipment, and its component parts, defines the basis of the oil classification; the operating conditions of the lubricated part provide other important criteria needed to define the characteristics required in the oil. The main oil classifications in terms of equipment are into engine oils, turbine oil, steam turbine oils, etc. Oils for various parts of the equipment include bearing oils, transmission oils, hydraulic oils, etc. Another classification system deals with the special requirements of certain industrial sectors. Thus, for example, textile oils, electrical insulating oils, quenching oils and oils for application in radioactive environments are specially manufactured and classified. Two-stroke gasoline engines used for powering four- and two-wheeled road vehicles, small boats, mowers, etc., can be classified in the context of lubrication under two groups: (1) engines with conventional lubrication systems and (2) engines with separate lubrication systems.

1992-01-01T23:59:59.000Z

205

CLASSIFICATION OF THE MGR WASTE EMPLACEMENT/RETRIEVAL SYSTEM  

SciTech Connect

The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste emplacement/retrieved system structures, systems and components (SSCs) performed by the MGR Preclosure Safety and Systems Engineering Section. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 2000). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, Quality Assurance Requirements and Description (QARD) (DOE 2000). This QA classification incorporates the current MGR design and the results of the ''Design Basis Event Frequency and Dose Calculation for Site Recommendation'' (CRWMS M&O 2000a). The content and technical approach of this analysis is in accordance with the development plan ''QA Classification of MGR Structures, Systems, and Components'' (CRWMS M&O 1999b).

J.A. Ziegler

2000-11-08T23:59:59.000Z

206

Classification of fossil fuels according to structural-chemical characteristics  

SciTech Connect

On the basis of a set of linear equations that relate the amount of major elements n{sub E} (E = C, H, O, N, S) in the organic matter of fossil fuels to structural characteristics, such as the number of cycles R, the number of atoms n{sub E}, the number of mutual chemical bonds, the degree of unsaturation of the structure {delta}, and the extent of its reduction B, a structural-chemical classification of fossil coals that is closely related to the parameters of the industrial-genetic classification (GOST 25543-88) is proposed. Structural-chemical classification diagrams are constructed for power-generating coals of Russia; coking coals; and coals designed for nonfuel purposes including the manufacture of adsorbents, synthetic liquid fuel, ion exchangers, thermal graphite, and carbon-graphite materials.

A.M. Gyul'maliev; G.S. Golovin; S.G. Gagarin [Institute for Fossil Fuels, Moscow (Russian Federation)

2007-10-15T23:59:59.000Z

207

Groundwater Classification and Standards (North Carolina) | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Classification and Standards (North Carolina) Classification and Standards (North Carolina) Groundwater Classification and Standards (North Carolina) < Back Eligibility Commercial Industrial Construction Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State North Carolina Program Type Environmental Regulations Siting and Permitting Provider Department of Environment and Natural Resources The rules established in this Subchapter 2L of North Carolina Administrative Code Title 15A are intended to maintain and preserve the quality of the groundwaters, prevent and abate pollution and contamination of the waters of the state, protect public health, and permit management of the groundwaters for their best usage by the citizens of North Carolina. It

208

OFFICE OF CLASSIFICATION OFFICE OF HEALTH, SAFETY AND SECURITY  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CLASSIFICATION CLASSIFICATION OFFICE OF HEALTH, SAFETY AND SECURITY UNDERSTANDING U U O O SE NLY U.S. DEPARTMENT OF ENERGY O O FFICIAL EXEMPTION 3 - Statutory Exemption Examples: Cooperative Research and Development Agreement Information Export Controlled Information EXEMPTION 4 - Commercial/Proprietary Examples: Trade secrets Scientific and manufacturing processes Bids, contracts, or proposals Agency credit card or bank account numbers Security measures for commercial entities performing Government work EXEMPTION 5 - Privileged Information Examples: Recommendations Evaluations Appraisal results Drafts of new policies Attorney-Client exchanges EXEMPTION 6 - Personal Privacy Examples: Social security numbers Date of birth associated with an individual

209

Structure of the psychotic disorders classification in DSM 5 Stephan Heckers a,  

E-Print Network (OSTI)

Review Structure of the psychotic disorders classification in DSM 5 Stephan Heckers a, , Deanna M Keywords: Schizophrenia DSM Nosology Diagnosis Psychotic disorders Schizophrenia spectrum disorders attract Disorders (DSM-5) continues the categorical classification of psychiatric dis- orders since the research

210

Classification and disposal of radioactive wastes: History and legal and regulatory requirements  

SciTech Connect

This document discusses the laws and regulations in the United States addressing classification of radioactive wastes and the requirements for disposal of different waste classes. This review emphasizes the relationship between waste classification and the requirements for permanent disposal.

Kocher, D.C.

1990-01-01T23:59:59.000Z

211

E-Print Network 3.0 - automatic text classification Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Page: << < 1 2 3 4 5 > >> 1 Text classification Naive Bayes NB theory Evaluation of TC Web Search and Text Mining Summary: Text classification Naive Bayes NB theory Evaluation of...

212

A Multi-Task Feature Selection Filter for Microarray Classification Liang Lan and Slobodan Vucetic  

E-Print Network (OSTI)

classification data sets. The filter uses Kruskal-Wallis test on auxiliary data sets and ranks genes based

Vucetic, Slobodan

213

SIC (MUltiple SIgnal Classification) CSP (Cross-power Spectrum Phase)  

E-Print Network (OSTI)

2ch CSP ( ) 1 MU- SIC (MUltiple SIgnal Classification) CSP (Cross- power Spectrum Phase) [1, 2, 3, 4] [5, 6] [7, 8, 9, 10] [7] CSP CSP [8] [9] CSP [10] Estimation of talker's head orientation based (Kobe univ.) [11] 2ch CSP CSP CSP CSP 2 CSP GCC-PHAT (Generalized Cross- Correlation PHAse Transform

Takiguchi, Tetsuya

214

Test-Cost Sensitive Classification on Data with Missing Values  

E-Print Network (OSTI)

Test-Cost Sensitive Classification on Data with Missing Values Qiang Yang, Senior Member, IEEE, Charles Ling, Xiaoyong Chai, and Rong Pan Abstract--In the area of cost-sensitive learning, inductive learning algorithms have been extended to handle different types of costs to better represent

Yang, Qiang

215

Fusing Image Representations for Classification Using Support Vector Machines  

E-Print Network (OSTI)

as "early fusion" or "pre-classification fusion" consists of integrating different types of information. Classifier fusion, on the other hand, consists of fusing classifier outputs. In this type of fusion. This can be done by using two different fusing schemes. In feature level fusion schemes, image

Paris-Sud XI, Université de

216

THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE KNOTS  

E-Print Network (OSTI)

THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE KNOTS Mark Brittenham and Ying-Qing Wu Abstract. We will determine whether a given surgery on a 2-bridge knot is reducible, toroidal, Seifert bered-hyperbolic. Let Kp=q be a 2-bridge knot associated to the rational number p=q. When p 1 mod q, K is a torus knot

Brittenham, Mark

217

Morphological Classification of Galaxies Using Artificial Neural Networks  

E-Print Network (OSTI)

The results of morphological galaxy classifications performed by humans and by automated methods are compared. In particular, a comparison is made between the eyeball classifications of 454 galaxies in the Sloan Digital Sky Survey (SDSS) commissioning data (Shimasaku et al. 2001) with those of supervised artificial neural network programs constructed using the MATLAB Neural Network Toolbox package. Networks in this package have not previously been used for galaxy classification. It is found that simple neural networks are able to improve on the results of linear classifiers, giving correlation coefficients of the order of 0.8 +/- 0.1, compared with those of around 0.7 +/- 0.1 for linear classifiers. The networks are trained using the resilient backpropagation algorithm, which, to the author's knowledge, has not been specifically used in the galaxy classification literature. The galaxy parameters used and the network architecture are both important, and in particular the galaxy concentration index, a measure of the concentration of light towards the centre of the galaxy, is the most significant parameter. Simple networks are briefly applied to 29,429 galaxies with redshifts from the SDSS Early Data Release. They give an approximate ratio of types E/S0:Sp:Irr of 14 +/- 5 : 86 +/- 12 : 0 +/- 0.1, which broadly agrees with the well known approximate ratios of 20:80:1 observed at low redshift.

Nicholas M. Ball

2001-10-22T23:59:59.000Z

218

LEARNING TEXT FROM THE WEB: AN APPLICATION OF CLASSIFICATION METHODS  

E-Print Network (OSTI)

LEARNING TEXT FROM THE WEB: AN APPLICATION OF CLASSIFICATION METHODS Advanced Data Analysis Project The World Wide Web contains millions of pages and it has more information that we can handle. Given a query­understandable knowledge base whose content mirrors that of the World Wide Web. An approach might be (see Craven et al

219

Multimedia classification and event detection using double fusion  

Science Journals Connector (OSTI)

Multimedia Event Detection(MED) is a multimedia retrieval task with the goal of finding videos of a particular event in video archives, given example videos and event descriptions; different from MED, multimedia classification is a task that classifies ... Keywords: Double fusion, Early fusion, Feature combination, Late fusion, Multimedia event detection

Zhen-Zhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, Alexander G. Hauptmann

2014-07-01T23:59:59.000Z

220

Automatic RNA virus classification using the Entropy-ANFIS method  

Science Journals Connector (OSTI)

Innovations in the fields of medicine and medical image processing are becoming increasingly important. Historically, RNA viruses produced in cell cultures have been identified using electron microscopy, in which virus identification is performed by ... Keywords: ANFIS, Center-edge change method, Classification, Clustering, DNA, Entropy, FCM, RNA, RNA virus images

Esin Dogantekin; Engin Avci; Oznur Erkus

2013-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

THE CLASSIFICATION OF EXCEPTIONAL CDQL WEBS ON COMPACT COMPLEX SURFACES  

E-Print Network (OSTI)

THE CLASSIFICATION OF EXCEPTIONAL CDQL WEBS ON COMPACT COMPLEX SURFACES J. V. PEREIRA AND L. PIRIO Abstract. Codimension one webs are configurations of finitely many codi- mension one foliations in general equation among the first integrals of the foliations defining the web reminiscent of Abel's addition the

Pereira, Jorge Vitório

222

Signal Classification in Heterogeneous OFDM-based Cognitive Radio Systems  

E-Print Network (OSTI)

the spectrum awareness also called classification of various signals enabling the OFDM-based cognitive radio, also called secondary users (SUs). The SU tries to gain access to the licensed spectrum when the PU environment come from the spectrum sensing feature of the cognitive radio. The other main functions

Gesbert, David

223

www.cerf-jcr.org Benthic Classifications Using Bathymetric LIDAR  

E-Print Network (OSTI)

to enhance the SVM classification performance. The assessment of the contribution of geostatistics No. 62, 86­98. West Palm Beach (Florida), ISSN 0749-0208. The scope of this research is to assess. Analysis of the underwater camera stations allowed clustering of the stations into groups on the basis

Long, Bernard

224

Enriching media fragments with named entities for video classification  

Science Journals Connector (OSTI)

With the steady increase of videos published on media sharing platforms such as Dailymotion and YouTube, more and more efforts are spent to automatically annotate and organize these videos. In this paper, we propose a framework for classifying video ... Keywords: concept extraction, media annotation, media fragment, named entity extraction, nerd, video classification

Yunjia Li; Giuseppe Rizzo; Jos Luis Redondo Garca; Raphal Troncy; Mike Wald; Gary Wills

2013-05-01T23:59:59.000Z

225

Semi-Supervised Time Series Classification Li Wei Eamonn Keogh  

E-Print Network (OSTI)

, and hospitals often archive even larger amounts of ECG data for legal reasons. Recent advances in sensor examples to construct accurate classifiers. Furthermore, we are able to leverage off recent advancesSemi-Supervised Time Series Classification Li Wei Eamonn Keogh Department of Computer Science

Zordan, Victor

226

Hazard classification criteria for non-nuclear facilities  

SciTech Connect

Sandia National Laboratories` Integrated Risk Management Department has developed a process for establishing the appropriate hazard classification of a new facility or operation, and thus the level of rigor required for the associated authorization basis safety documentation. This process is referred to as the Preliminary Hazard Screen. DOE Order 5481.1B contains the following hazard classification for non-nuclear facilities: high--having the potential for onsite or offsite impacts to large numbers of persons or for major impacts to the environment; moderate--having the potential for considerable onsite impacts but only minor offsite impacts to people or the environment; low--having the potential for only minor onsite and negligible offsite impacts to people or the environment. It is apparent that the application of such generic criteria is more than likely to be fraught with subjective judgment. One way to remove the subjectivity is to define health and safety classification thresholds for specific hazards that are based on the magnitude of the hazard, rather than on a qualitative assessment of possible accident consequences. This paper presents the results of such an approach to establishing a readily usable set of non-nuclear facility hazard classifications.

Mahn, J.A.; Walker, S.A.

1997-03-01T23:59:59.000Z

227

Classification of Two-Phase Flow Patterns by Ultrasonic Sensing  

E-Print Network (OSTI)

in addition to several other factors such as the bulk flow rate, fluid properties, and flow boundary conditions [1]. Characterization of flow patterns and identification of the associ- ated flow regimes instrumentation, both for void fraction identification and flow pattern classification. High-speed photog- raphy

Ray, Asok

228

Industrial Steam Power Cycles Final End-Use Classification  

E-Print Network (OSTI)

Final end uses of steam include two major classifications: those uses that condense the steam against heat transfer surfaces to provide heat to an item of process or service equipment; and those that require a mass flow of steam for stripping...

Waterland, A. F.

1983-01-01T23:59:59.000Z

229

THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE KNOTS  

E-Print Network (OSTI)

set [Th3,Ho,KOS,Z* *h]. It can be shown that surgery on a 2-bridge knot yields a manifold which THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE whether a given surgery on a 2-bridge knot is * *reducible, toroidal, Seifert fibered, or hyperbolic

Brittenham, Mark

230

A-type granites and related rocks: Petrogenesis and classification  

Science Journals Connector (OSTI)

Abstract The problems of identification of A-type granitoids are analyzed. These rocks occur in different geodynamic settings. Owing to their mantle nature, they show distinct REE specialization. These are acid intrusive rocks, whose volcanic products are of crucial scientific and practical significance. However, neither the great number of proposed classification schemes and diagrams, including those based on expensive analytical data, nor hot scientific discussions of their identification and the ambiguity of the term A-granitoids helped to determine their classification features in full measure. A principally new discriminant diagram is proposed for the classification of igneous A-type rocks, based on the analysis of earlier obtained results and the petrochemical composition of these rocks. A comparative analysis of subdivision of granites and related felsic volcanic rocks (SiO2>67wt.%), based on the ternary (Na2O+K2O)Fe2O3*נ5(CaO+MgO)נ5 and other widely applied diagrams, has shown the advantage of the proposed discriminant diagram for the classification of A-type granitoids from different geodynamic settings.

A.V. Grebennikov

2014-01-01T23:59:59.000Z

231

Bayesian Gaussian Process Classification with the EM-EP Algorithm  

E-Print Network (OSTI)

Bayesian Gaussian Process Classification with the EM-EP Algorithm Hyun-Chul Kim and Zoubin of hyperparameters to determine various aspects of the function. Recently, the expectation propagation (EP) approach an approximate EM algorithm, the EM-EP algorithm, to learn both the latent function and the hyperparameters

Ghahramani, Zoubin

232

Identification of new drug classification terms in textual resources  

Science Journals Connector (OSTI)

......F-score by 14% on the standard DrugBank corpus compared...obtained on the DrugBank standard (89% F-score) and on the Medline standard corpus (83% F-score...classifications. We plan to provide these...One very detailed review especially pinpointed...Evaluation of text mining in biology. In......

Corinna Kolrik; Martin Hofmann-Apitius; Marc Zimmermann; Juliane Fluck

2007-07-01T23:59:59.000Z

233

RESEARCH Open Access Classification of human genomic regions based  

E-Print Network (OSTI)

RESEARCH Open Access Classification of human genomic regions based on experimentally determined by binding different classes of regulatory elements. The Encyclopedia of DNA Elements (ENCODE) project has overwhelmingly complex and simultaneously incomplete since it covers only a small fraction of all human

Nachman, Michael

234

PITCH BASED SOUND CLASSIFICATION Andreas B. Nielsen, Lars K. Hansen  

E-Print Network (OSTI)

PITCH BASED SOUND CLASSIFICATION Andreas B. Nielsen, Lars K. Hansen Intelligent Signal Processing the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error. The pitch is an interesting feature of sound and is used in various situations. One of the reasons pitch

235

Incorporating Temporal Information for Document Classification Faculty of computer science  

E-Print Network (OSTI)

tracking. To do so, we analyze tem- poral word sequences of a document as words occur one after another in time throughout the whole document. The word sequence tracking is only based on the order of words the process of word track- ing and document classification. There are two major parts to the proposed system

Fernandez, Thomas

236

Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically  

E-Print Network (OSTI)

abnormalities in several brain regions. Increased head size was the first observed characteristic in children1 Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically Developing Brain with autism. According to the published studies, different anatomical structures of the brain have been

Farag, Aly A.

237

Using question classification to model user intentions of different levels  

Science Journals Connector (OSTI)

User information need detection is a fundamental issue in automatic question answering systems. Based on real questions collected from on-line question answering communities, this paper proposes a three-level question type taxonomy to model user information ... Keywords: multi-label classification, pragmatics, question answering, three-level question type taxonomy, user intention modeling

Yaoyun Zhang; Xuan Wang; Xiaolong Wang; Shixi Fan; Daoxu Zhang

2009-10-01T23:59:59.000Z

238

ENHANCED CLOUD REGIME CLASSIFICATION FOR EVALUATION OF MODEL FAST PHYSICS  

E-Print Network (OSTI)

ENHANCED CLOUD REGIME CLASSIFICATION FOR EVALUATION OF MODEL FAST PHYSICS Wuyin Lin1 , Yangang Liu1 of Energy under Contract No. DE-AC02-98CH10886 ABSTRACT Distinct cloud regimes exist locally and globally helps identify the meteorological conditions that are closely associated with specific cloud regimes

239

POLAR SEA-ICE CLASSIFICATION USING ENHANCED RESOLUTION NSCAT DATA  

E-Print Network (OSTI)

POLAR SEA-ICE CLASSIFICATION USING ENHANCED RESOLUTION NSCAT DATA Q. P. Remund and D. G. Long of the scatterometer image reconstruction with filter (SIRF) algorithm. SIRF produces images of A and B where A is U is shown to have high correlation with the NSIDC SSM/I derived multiyear ice maps. INTRODUCTION Polar sea

Long, David G.

240

Classification of intrusion detection alerts using abstaining classifiers  

Science Journals Connector (OSTI)

Intrusion Detection Systems have been observed to trigger an abundance of false positives, that is alerts not reporting security problems. Assuming that in real installations most of the alerts are reviewed by human security analysts in a timely manner, ... Keywords: Intrusion detection, abstaining classifiers, alert classification, false positives

Tadeusz Pietraszek

2007-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Gender classification by combining clothing, hair and facial component classifiers  

E-Print Network (OSTI)

facial images is widely used in applications like human­computer interface, demographics, and customer difficulties. The psychological experi- ment in our previous work showed that hair provides discrimi- native of these images. They get 96.3% classification accuracy on color images, and 93.5% on gray images on average. From

Lu, Bao-Liang

242

IV. On the Classification of Prequency-ratios  

Science Journals Connector (OSTI)

......the Author of a paper On the Distribution of the Proper Fractions, by D. M. T. Sommerville, D.Sc, Proc. Roy. Soe. Edia. Vol. xxxvi. (1906), pp. 116-129. Miscellanea 179 IV. On the Classification of Prequency-ratiosf. BY D. M. Y......

D. M. Y. SOMMERVILLE

1906-10-01T23:59:59.000Z

243

Classification of Sweden's Forest and Alpine Vegetation Using Optical  

E-Print Network (OSTI)

Classification of Sweden's Forest and Alpine Vegetation Using Optical Satellite and Inventory Data of Sweden's Forest and Alpine Vegetation Using Optical Satellite and Inventory Data. Abstract Creation of accurate vegetation maps from optical satellite data requires use of reference data to aid

244

Web Page Classification on Child Suitability Carsten Eickhoff  

E-Print Network (OSTI)

Web Page Classification on Child Suitability Carsten Eickhoff Delft University of Technology Delft, Netherlands c.eickhoff@tudelft.nl Pavel Serdyukov Delft University of Technology Delft, Netherlands p.serdyukov@tudelft.nl Arjen P. de Vries Centrum Wiskunde & Informatica Amsterdam, Netherlands arjen@acm.org ABSTRACT Children

245

Transient ST-Segment Episode Detection for ECG Beat Classification  

E-Print Network (OSTI)

Transient ST-Segment Episode Detection for ECG Beat Classification Suma C. Bulusu, Miad Faezipour on the application of signal processing and artificial intelligence to the heart signal known as the ECG. The Electrocardiogram (ECG) is an electrical recording of the heart behavior and is crucial to investigating cardiac

Ng, Vincent

246

Cost-Sensitive Classification with Genetic Programming Jin Li, Xiaoli Li and Xin Yao  

E-Print Network (OSTI)

Cost-Sensitive Classification with Genetic Programming Jin Li, Xiaoli Li and Xin Yao The Centre.Yao}@cs.bham.ac.uk Abstract- Cost-sensitive classification is an attractive topic in data mining. Although genetic programming exploited to ad- dress cost-sensitive classification in the literature, where the costs of misclassification

Yao, Xin

247

Web Page Classification with an Ant Colony Algorithm Nicholas Holden and Alex A. Freitas  

E-Print Network (OSTI)

], the first Ant Colony Optimisation (ACO) algorithm for dis- covering classification rules. InvestigatingWeb Page Classification with an Ant Colony Algorithm Nicholas Holden and Alex A. Freitas Computing utilizes Ant-Miner ­ the first Ant Colony algorithm for discovering classification rules ­ in the field

Heinke, Dietmar

248

DEVELOPMENT OF A WEB-BASED BLIND TEST TO SCORE AND RANK HYPERSPECTRAL CLASSIFICATION ALGORITHMS  

E-Print Network (OSTI)

://dirsapps.cis.rit.edu/classtest/. 1. INTRODUCTION The accuracy of land cover classification algorithms applied to hyperspectral remoteDEVELOPMENT OF A WEB-BASED BLIND TEST TO SCORE AND RANK HYPERSPECTRAL CLASSIFICATION ALGORITHMS K ABSTRACT Remotely sensed hyperspectral imagery plays an important role in land cover classification

Kerekes, John

249

Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool  

E-Print Network (OSTI)

Stream classification using hierarchical artificial neural networks: A fluvial hazard management-in-Chief Keywords: Stream classification Artificial neural networks Kohonen self-organizing maps Counterpropagation. In this research, we apply non-parametric, clus- tering and classification artificial neural networks to assimilate

Vermont, University of

250

Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery  

E-Print Network (OSTI)

Utility of multispectral imaging for nuclear classification of routine clinical histopathology minimal additional spectral information for a pixel-level nuclear classification task than would standard presented in [17]. Results and Discussion Classification using all image bands We split our dataset

California at Santa Barbara, University of

251

A NEW CLASS OF RAMSEY-CLASSIFICATION THEOREMS AND THEIR APPLICATIONS IN THE  

E-Print Network (OSTI)

A NEW CLASS OF RAMSEY-CLASSIFICATION THEOREMS AND THEIR APPLICATIONS IN THE TUKEY THEORY OF ULTRAFILTERS NATASHA DOBRINEN AND STEVO TODORCEVIC Abstract. Motivated by Tukey classification problems-classification theo- rems to completely classify all Rudin-Keisler equivalence classes of ultrafilters which are Tukey

Dobrinen, Natasha

252

Microsoft Word - Data Classification Security Framework V5.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

888P 888P Unlimited Release Printed July 2007 Security Framework for Control System Data Classification and Protection Bryan T. Richardson and John Michalski Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under Contract DE-AC04-94AL85000. Approved for public release; further dissemination unlimited. Security Framework for Control System Data Classification and Protection 2 Issued by Sandia National Laboratories, operated for the United States Department of Energy by Sandia Corporation. NOTICE: This report was prepared as an account of work sponsored by an agency of

253

Empirically-driven hierarchical classification of stock keeping units  

Science Journals Connector (OSTI)

This paper proposes a hierarchical multi-criteria classification method developed for inventory management purposes and applied in a case study of the spare parts business of a household appliance manufacturer. The classification method is built on the basis of SIX dimensions, resulting in 12 different classes of spare parts, for which differentiated forecasting and inventory policies are proposed and tested. The results of our simulation study demonstrate the reduction of the total logistics costs by about 20% whilst still achieving the specified target service level for each class. Even more importantly, the proposed approach is simple enough to be understood and applied by company managers, thus increasing the probability of its adoption (in the same or similar fashion) in other real world settings.

A. Bacchetti; F. Plebani; N. Saccani; A.A. Syntetos

2013-01-01T23:59:59.000Z

254

ECG beats classification using waveform similarity and RR interval  

E-Print Network (OSTI)

This paper present an electrocardiogram (ECG) beat classification method based on waveform similarity and RR interval. The purpose of the method is to classify six types of heart beats (normal beat, atrial premature beat, paced beat, premature ventricular beat, left bundle branch block beat and right bundle branch block beat). The electrocardiogram signal is first denoised using wavelet transform based techniques. Heart beats of 128 samples data centered on the R peak are extracted from the ECG signal and thence reduced to 16 samples data to constitute a feature. RR intervals surrounding the beat are also exploited as feature. A database of annotated beats is built for the classifier for waveform comparison to unknown beats. Tested on 46 records in the MIT/BIH arrhythmia database, the method shows classification rate of 97.52%.

Ka, Ahmad Khoureich

2011-01-01T23:59:59.000Z

255

THE CLASSIFICATION OF DEHN SURGERIES ON 2BRIDGE KNOTS  

E-Print Network (OSTI)

THE CLASSIFICATION OF DEHN SURGERIES ON 2­BRIDGE KNOTS Mark Brittenham and Ying­Qing Wu Abstract. We will determine whether a given surgery on a 2­bridge knot is reducible, toroidal, Seifert fibered surgeries are non­hyperbolic. Let K p=q be a 2­bridge knot associated to the rational number p=q. When p j

Brittenham, Mark

256

AUTOMATED DEFECT CLASSIFICATION USING AN ARTIFICIAL NEURAL NETWORK  

SciTech Connect

The automated defect classification algorithm based on artificial neural network with multilayer backpropagation structure was utilized. The selected features of flaws were used as input data. In order to train the neural network it is necessary to prepare learning data which is representative database of defects. Database preparation requires the following steps: image acquisition and pre-processing, image enhancement, defect detection and feature extraction. The real digital radiographs of welded parts of a ship were used for this purpose.

Chady, T.; Caryk, M. [Szczecin University of Technology, Department of Electrical Engineering (Poland); Piekarczyk, B. [Technic-Control, Szczecin (Poland)

2009-03-03T23:59:59.000Z

257

Cross-Language Text Classification J. Scott Olsson  

E-Print Network (OSTI)

word cj . That is, Ei,j P(ei|cj ), 1 i Ne, 1 j Nc E = 0 B @ P(e1|c1) · · · P(e1|cCross-Language Text Classification J. Scott Olsson Dept. of Mathematics University of Maryland their Czech counterparts (e.g., to discuss London more than Prague), so that, having only documents in English

Oard, Doug

258

Contextual completeness and a classification scheme for theories  

E-Print Network (OSTI)

We discuss the role of propositions, truth, context and observers in scientific theories. We introduce the concept of generalized proposition and use it to define an algorithm for the classification of any scientific theory. The algorithm assigns a number 0, 1, 2 or 3 to a given theory, thereby classifying it as of metaphysical, mathematical, classical or quantum class. The objective is to provide an impartial method of assessing the scientific status of any theory.

Jaroszkiewicz, George

2015-01-01T23:59:59.000Z

259

A Weighted Voting-Based Associative Classification Algorithm  

Science Journals Connector (OSTI)

......17 57 2 24 led7 8 3200 10 25 wine 14 178 3 26 zoo 17 101 17 27...72.5 73.6 69.3 74.3 wine 93.3 98.9 92.7 96.6...is low, the average accuracy increases more slowly. This reveals that...classification, ACWV considers both the quality and number of rules to avoid......

Xiaoyan Zhu; Qinbao Song; Zihan Jia

2010-07-01T23:59:59.000Z

260

CLASSIFICATION OF FIRST-ORDER FLEXIBLE REGULAR BICYCLE POLYGONS  

E-Print Network (OSTI)

CLASSIFICATION OF FIRST-ORDER FLEXIBLE REGULAR BICYCLE POLYGONS ROBERT CONNELLY AND BAL´AZS CSIK´OS Abstract. A bicycle (n, k)-gon is an equilateral n-gon whose k-diagonals are equal. S. Tabachnikov proved that a regular n-gon is first-order flexible as a bicycle (n, k)-gon if and only if there is an integer 2 r n

Connelly, Robert

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

CLASSIFICATION OF THE MGR SURFACE ENVIRONMENTAL MONITORING SYSTEM  

SciTech Connect

The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) surface environmental monitoring system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998).

J.A. Ziegler

1999-08-31T23:59:59.000Z

262

CLASSIFICATION OF THE MGR SUBSURFACE DEVELOPMENT TRANSPORTATION SYSTEM  

SciTech Connect

The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) subsurface development transportation structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P7 ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998).

R. Garrett

1999-08-31T23:59:59.000Z

263

The quantum bit commitment: a complete classification of protocols  

E-Print Network (OSTI)

This paper addresses the controversy between Mayers, Lo and Chau on one side, and Yuen on the opposite side, on whether there exist or not unconditionally secure protocols. For such purpose, a complete classification of all possible bit commitment protocols is given, including all possible cheating attacks. For the simplest class of protocols (non-aborting and with complete and perfect verification), it is shown how naturally a game-theoretical situation arises. For these protocols, bounds for the cheating probabilities are derived, which turn out to be different from those given in the impossibility proof. The whole classification and analysis has been carried out using a "finite open system" approach. The discrepancy with the impossibility proof is explained on the basis of the implicit adoption of a "closed system approach"--equivalent to modeling the commitment as performed by two fixed machines interacting unitarily in a overall "closed system". However, it is shown that the closed system approach for the classification of commitment protocols unavoidably leads to infinite dimensions, which then invalidate the continuity argument at the basis of the impossibility proof.

Giacomo Mauro D'Ariano

2002-09-26T23:59:59.000Z

264

Unsupervised Feature Learning for High-Resolution Satellite Image Classification  

SciTech Connect

The rich data provided by high-resolution satellite imagery allow us to directly model geospatial neighborhoods by understanding their spatial and structural patterns. In this paper we explore an unsupervised feature learning approach to model geospatial neighborhoods for classification purposes. While pixel and object based classification approaches are widely used for satellite image analysis, often these approaches exploit the high-fidelity image data in a limited way. In this paper we extract low-level features to characterize the local neighborhood patterns. We exploit the unlabeled feature measurements in a novel way to learn a set of basis functions to derive new features. The derived sparse feature representation obtained by encoding the measured features in terms of the learned basis function set yields superior classification performance. We applied our technique on two challenging image datasets: ORNL dataset representing one-meter spatial resolution satellite imagery representing five land-use categories and, UCMERCED dataset consisting of 21 different categories representing sub-meter resolution overhead imagery. Our results are highly promising and, in the case of UCMERCED dataset we outperform the best results obtained for this dataset. We show that our feature extraction and learning methods are highly effective in developing a detection system that can be used to automatically scan large-scale high-resolution satellite imagery for detecting large-facility.

Cheriyadat, Anil M [ORNL

2013-01-01T23:59:59.000Z

265

Classification of Flipped SU(5) Heterotic-String Vacua  

E-Print Network (OSTI)

We extend the classification of the free fermionic heterotic-string vacua to models in which the SO(10) GUT symmetry at the string scale is broken to the flipped SU(5) subgroup. In our classification method, the set of basis vectors defined by the boundary conditions which are assigned to the free fermions is fixed and the enumeration of the string vacua is obtained in terms of the Generalised GSO (GGSO) projection coefficients entering the one-loop partition function. We derive algebraic expressions for the GGSO projections for all the physical states appearing in the sectors generated by the set of basis vectors. This enables the analysis of the entire string spectrum to be programmed in to a computer code therefore, we performed a statistical sampling in the space of 2^{44} (approximately 10^{13}) flipped $SU(5)$ vacua and scanned up to 10^{12} GGSO configurations. For that purpose, two independent codes were developed based on JAVA and FORTRAN95. All the results presented here are confirmed by the two independent routines. Contrary to the corresponding Pati-Salam classification, we do not find exophobic flipped SU(5) vacua with an odd number of generations. We study the structure of exotic states appearing in the three generation models that additionally contain a viable Higgs spectrum. Moreover, we demonstrate the existence of models in which all the exotic states are confined by a hidden sector non-Abelian gauge symmetry as well as models that may admit the racetrack mechanism.

Alon E. Faraggi; John Rizos; Hasan Sonmez

2014-03-31T23:59:59.000Z

266

Automated Classification of Stellar Spectra. II: Two-Dimensional Classification with Neural Networks and Principal Components Analysis  

E-Print Network (OSTI)

We investigate the application of neural networks to the automation of MK spectral classification. The data set for this project consists of a set of over 5000 optical (3800-5200 AA) spectra obtained from objective prism plates from the Michigan Spectral Survey. These spectra, along with their two-dimensional MK classifications listed in the Michigan Henry Draper Catalogue, were used to develop supervised neural network classifiers. We show that neural networks can give accurate spectral type classifications (sig_68 = 0.82 subtypes, sig_rms = 1.09 subtypes) across the full range of spectral types present in the data set (B2-M7). We show also that the networks yield correct luminosity classes for over 95% of both dwarfs and giants with a high degree of confidence. Stellar spectra generally contain a large amount of redundant information. We investigate the application of Principal Components Analysis (PCA) to the optimal compression of spectra. We show that PCA can compress the spectra by a factor of over 30 while retaining essentially all of the useful information in the data set. Furthermore, it is shown that this compression optimally removes noise and can be used to identify unusual spectra.

Coryn A. L. Bailer-Jones; Mike Irwin; Ted von Hippel

1998-03-05T23:59:59.000Z

267

Deep Geothermal Reservoir Temperatures in the Eastern Snake River Plain, Idaho using Multicomponent Geothermometry  

SciTech Connect

The U.S. Geological survey has estimated that there are up to 4,900 MWe of undiscovered geothermal resources and 92,000 MWe of enhanced geothermal potential within the state of Idaho. Of particular interest are the resources of the Eastern Snake River Plain (ESRP) which was formed by volcanic activity associated with the relative movement of the Yellowstone Hot Spot across the state of Idaho. This region is characterized by a high geothermal gradient and thermal springs occurring along the margins of the ESRP. Masking much of the deep thermal potential of the ESRP is a regionally extensive and productive cold-water aquifer. We have undertaken a study to infer the temperature of the geothermal system hidden beneath the cold-water aquifer of the ESRP. Our approach is to estimate reservoir temperatures from measured water compositions using an inverse modeling technique (RTEst) that calculates the temperature at which multiple minerals are simultaneously at equilibrium while explicitly accounting for the possible loss of volatile constituents (e.g., CO2), boiling and/or water mixing. In the initial stages of this study, we apply the RTEst model to water compositions measured from a limited number of wells and thermal springs to estimate the regionally extensive geothermal system in the ESRP.

Ghanashyam Neupane; Earl D. Mattson; Travis L. McLing; Carl D. Palmer; Robert W. Smith; Thomas R. Wood

2014-02-01T23:59:59.000Z

268

Geothermometry At Neal Hot Springs Geothermal Area (U.S. Geothermal...  

Open Energy Info (EERE)

of 177 C. References U.S. Geothermal Inc. (2008) U.S. Geothermal Announces Successful Completion of First Well at Neal Hot Springs Additional References Retrieved from "http:...

269

Robot, Rabbit, or Red Herring? Societal Acceptance as a Function of Classification Ease  

E-Print Network (OSTI)

AbstractFor people to accept robotic agents socially it is necessary for the robots to be easily classifiable. We propose three such kinds of classification for users: Type Classification (what is it?), Role Classification (how should I interact with it?), and Behavioral Classification (does it behave in concordance with its type and role?). As HRI researchers we can design experiments that measure length of time until people classify a given robots type and role, and a robots behavior in terms of the number of classification violations it commits. These measurements can then be used to calculate an Ease of Classification score. This score could be used as a basis for comparison between different user groups, different physical interaction spaces, and even different robots. Further, it can help provide insight into the likelihood a given robot will be socially accepted. T I.

Laurel D. Riek; Peter Robinson

270

NON RESIDENT ALIEN REQUIRED DOCUMENTS CLASSIFICATION REQUIRED ATTACHEMENTS MUST BE SUBMITTED WITH THE  

E-Print Network (OSTI)

NON RESIDENT ALIEN REQUIRED DOCUMENTS CLASSIFICATION REQUIRED ATTACHEMENTS MUST BE SUBMITTED WITH THE PAYROLL DOCUMENTS AND CITIZENSHIP STATUS FORM Permanent Resident Resident Alien Card, or I-551 Stamped

Adali, Tulay

271

E-Print Network 3.0 - automatic document classification Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

? Summary: Centroid-Based Document Classification: Analysis & Experimental Results ? Eui-Hong (Sam) Han... that these documents (with other unstructured data) will become the...

272

A Characteristics-Based Approach to Radioactive Waste Classification in Advanced Nuclear Fuel Cycles.  

E-Print Network (OSTI)

??The radioactive waste classification system currently used in the United States primarily relies on a source-based framework. This has lead to numerous issues, such as (more)

Djokic, Denia

2013-01-01T23:59:59.000Z

273

Research on web page classification-based core characteristics and web structure  

Science Journals Connector (OSTI)

The explosive growth of web pages currently makes the research on web page classification technology a hotspot of web mining. This paper introduces experiment data of fashion document corpus by many feature selection and classification methods, gives characterising expressions for specific documents based on core feature terms and web page categorisation algorithm is put forward based on web structure. Through the classification experiment on fashion web pages corpus, the algorithm has higher accuracy rate than other classification algorithms, and thus improves several points relative to the result before adjustment on web structure. The algorithms studied in this paper can be applied in other domains besides web pages of fashions.

Geng Zengmin; Du Jianxia

2014-01-01T23:59:59.000Z

274

E-Print Network 3.0 - accurate classification system Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

and for accurate evaluation of heat... into at least two sub-zones. Classification of ice within ... Source: Toussaint, Marc - Institute for Adaptive and Neural Computation,...

275

1. INSERT ABOVE, CLASSIFICATION LEVEL, UNCLASSIFIED, OR OFFICIAL USE ONLY  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

(03-98) (Exception to SF 14, Approved by NARS, June 1978) 1. INSERT ABOVE, CLASSIFICATION LEVEL, UNCLASSIFIED, OR OFFICIAL USE ONLY 4. PRECEDENCE DESIGNATION ("X" appropriate box): 6. FROM 9. TO COMMUNICATION CENTER ROUTING U.S. DEPARTMENT OF ENERGY TELECOMMUNICATION MESSAGE (See reverse side for Instructions) 5. TYPE OF MESSAGE FOR COMMUNICATION CENTER USE MESSAGE IDENTIFICATION NR: DTG: Z YES 2. MESSAGE CONTAINS WEAPON DATA? ("X" appropriate box. Message Center will not transmit message unless one box is marked.) 3. THIS DOCUMENT CONSIST OF PAGES NO ("X" appropriate box) Single Address Multiple Address Title Address Book Message 7. OFFICIAL BUSINESS (TIME) A.M. P.M. (Signature of authorizing official)

276

On the Classification of Low-Rank Braided Fusion Categories  

E-Print Network (OSTI)

ON THE CLASSIFICATION OF LOW-RANK BRAIDED FUSION CATEGORIES A Dissertation by PAUL JOSEPH BRUILLARD Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR...+=p . BFC Braided Fusion Category. C0 The M uger center of the category C. Cad The adjoint subcategory. Cpt The pointed subcategory. Cop Opposite (mirror) category to C. coevX Coevaluation I! X X . C2 (G;K ) 2-cochains of G with coe cients in K . C...

Bruillard, Paul Joseph

2013-05-23T23:59:59.000Z

277

A framework for a coarse aggregate classification system  

E-Print Network (OSTI)

. Fookes et al. (17) proposed a classification system for near-shore carbonate sediment rocks in 1975. This system was based on the grain size and "post depositional induration" of rocks. Clarke et aL (17) expanded the system developed by Fookes in 1977..., provision of petrological data is added as supplementary information in this system. This data is recommended to be provided only when a possible alkali-silica reactivity is suspected or to identify any potential problems related to aggregates. Table 2. 7...

Peapully, Srikrishna

2012-06-07T23:59:59.000Z

278

Complete Classification of 1+1 Gravity Solutions  

E-Print Network (OSTI)

A classification of the maximally extended solutions for 1+1 gravity models (comprising e.g. generalized dilaton gravity as well as models with non-trivial torsion) is presented. No restrictions are placed on the topology of the arising solutions, and indeed it is found that for generic models solutions on non-compact surfaces of arbitrary genus with an arbitrary non-zero number of holes can be obtained. The moduli space of classical solutions (solutions of the field equations with fixed topology modulo gauge transformations) is parametrized explicitly.

T. Kloesch; T. Strobl

1997-11-25T23:59:59.000Z

279

An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy  

Science Journals Connector (OSTI)

In this study, a classification to be used in physiotherapy was realized by means of Artificial Neural Network (ANN). The aim of the classification was to determine the treatment length and appropriate ultrasound value for the age of physiotherapy patients, ... Keywords: Artificial neural network, Ultrasonic therapy, Ultrasound

Hakan I?ik; Sema Arslan

2011-12-01T23:59:59.000Z

280

Formation of attribute spaces using wavelets in automatic classification of explosives  

Science Journals Connector (OSTI)

The non-contact automatic on-line classification of explosives is a multi-aspect task. It involves choosing the method of information gathering, planning and conduction of experiments, choosing a classifier, formation of training and control samples, ... Keywords: automatic classification, explosives, piezoelectric transducer, symptoms, ultrasonic waves, wavelet transformation

Nikolai Shopov; Rajcho Ilarionov; Ivan Simeonov; Hristo Kilifarev

2008-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Pixel-Based Classification Method for Detecting Unhealthy Regions in Leaf Images  

E-Print Network (OSTI)

and background. In the second step, support vector machines are applied to predict the class of each pixel plant disease control mechanisms. 1 Introduction During the last years, image classification tasks have with the help of au- tomated image classification. Plant diseases need to be controlled not only to maintain

Cremers, Daniel

282

Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data  

Science Journals Connector (OSTI)

......rate below 50% for nuclear proteins classification...for this special dataset (Horton and Nakai...correctly identifying nuclear proteins (l0...4.6 E.coli dataset Similar to the yeast...rate below 50% for nuclear proteins classification...for this special dataset (Horton and Nakai......

Claudia Plant; Christian Bhm; Bernhard Tilg; Christian Baumgartner

2006-04-15T23:59:59.000Z

283

EPA`s program for risk assessment guidelines: Cancer classification issues  

SciTech Connect

Issues presented are related to classification of weight of evidence in cancer risk assessments. The focus in this paper is on lines of evidence used in constructing a conclusion about potential human carcinogenicity. The paper also discusses issues that are mistakenly addressed as classification issues but are really part of the risk assessment process. 2 figs.

Wiltse, J. [Environmental Protection Agency, Washington, DC (United States)

1990-12-31T23:59:59.000Z

284

A RAMSEY-CLASSIFICATION THEOREM AND ITS APPLICATION IN THE TUKEY THEORY OF ULTRAFILTERS  

E-Print Network (OSTI)

A RAMSEY-CLASSIFICATION THEOREM AND ITS APPLICATION IN THE TUKEY THEORY OF ULTRAFILTERS NATASHA DOBRINEN AND STEVO TODORCEVIC Abstract. Motivated by a Tukey classification problem we develop here a new are Tukey re- ducible to U1: Every ultrafilter which is Tukey reducible to U1 is isomorphic to a countable

Dobrinen, Natasha

285

Associations among hydrologic classifications and fish traits to support environmental flow standards  

SciTech Connect

Classification systems are valuable to ecological management in that they organize information into consolidated units thereby providing efficient means to achieve conservation objectives. Of the many ways classifications benefit management, hypothesis generation has been discussed as the most important. However, in order to provide templates for developing and testing ecologically relevant hypotheses, classifications created using environmental variables must be linked to ecological patterns. Herein, we develop associations between a recent US hydrologic classification and fish traits in order to form a template for generating flow ecology hypotheses and supporting environmental flow standard development. Tradeoffs in adaptive strategies for fish were observed across a spectrum of stable, perennial flow to unstable intermittent flow. In accordance with theory, periodic strategists were associated with stable, predictable flow, whereas opportunistic strategists were more affiliated with intermittent, variable flows. We developed linkages between the uniqueness of hydrologic character and ecological distinction among classes, which may translate into predictions between losses in hydrologic uniqueness and ecological community response. Comparisons of classification strength between hydrologic classifications and other frameworks suggested that spatially contiguous classifications with higher regionalization will tend to explain more variation in ecological patterns. Despite explaining less ecological variation than other frameworks, we contend that hydrologic classifications are still useful because they provide a conceptual linkage between hydrologic variation and ecological communities to support flow ecology relationships. Mechanistic associations among fish traits and hydrologic classes support the presumption that environmental flow standards should be developed uniquely for stream classes and ecological communities, therein.

McManamay, Ryan A [ORNL; Bevelhimer, Mark S [ORNL; Frimpong, Dr. Emmanuel A, [Virginia Polytechnic Institute and State University

2014-01-01T23:59:59.000Z

286

Apple Defect Detection and Quality Classification with MLP-Neural Networks  

E-Print Network (OSTI)

Apple Defect Detection and Quality Classification with MLP-Neural Networks Devrim UNAY, Bernard' apples is shown. Color, texture and wavelet features are extracted from the apple images. Principal-classifications. The European Union defines three quality classes ("extra", "I", and "II") for the fresh apples

Dupont, Stéphane

287

A FUZZY APPROACH TOWARDS PERCEPTUAL CLASSIFICATION AND SEGMENTATION OF MP3/AAC AUDIO  

E-Print Network (OSTI)

A FUZZY APPROACH TOWARDS PERCEPTUAL CLASSIFICATION AND SEGMENTATION OF MP3/AAC AUDIO Serkan a novel perceptual based fuzzy approach towards classification and segmentation for MP3 and AAC audio in the compressed domain. The input audio is split into segments, which are classified as speech, music, fuzzy

Gabbouj, Moncef

288

Content-based Audio Classification using Collective Network of Binary Classifiers  

E-Print Network (OSTI)

Content-based Audio Classification using Collective Network of Binary Classifiers Toni Mäkinen) framework is presented for content-based audio classification. The topic has been studied in several and the number of classes, as well as to create a scalable network design, which allows introducing new audio

Gabbouj, Moncef

289

MIXED TYPE AUDIO CLASSIFICATION WITH SUPPORT VECTOR MACHINE Department of Computer Science  

E-Print Network (OSTI)

MIXED TYPE AUDIO CLASSIFICATION WITH SUPPORT VECTOR MACHINE Lei Chen Department of Computer Science of Waterloo tozsu@uwaterloo.ca ABSTRACT Content-based classification of audio data is an important problem for various applications such as overall analysis of audio-visual streams, boundary detection of video story

?zsu, M. Tamer

290

Design and Implementation of an Audio Classification System Based on SVM  

Science Journals Connector (OSTI)

Time-domain and frequency-domain features were extracted. The research of process and architecture of an audio classification system based on SVM was done, and the SVM audio classifier was designed. The results of experiments show that the audio classification system designed in the paper can classify audio signal effectively, and the average identification accuracy is about 90%.

Wang Shuiping; Tang Zhenming; Li Shiqiang

2011-01-01T23:59:59.000Z

291

Model-based filtering, compression and classification of the ECG GD Clifford  

E-Print Network (OSTI)

Model-based filtering, compression and classification of the ECG GD Clifford ¢¡ £ , A Shoeb of this model using a nonlinear optimization, we demonstrate that an arbitrary ECG can be modeled the parameters, waveform classification is possible. 1. Introduction Conventional ECG filters are limited

McSharry, Patrick E.

292

ECG beat classification using a cost sensitive classifier Z.Zidelmal,a,  

E-Print Network (OSTI)

ECG beat classification using a cost sensitive classifier Z.Zidelmal,a, , A.Amirou,b, , D MIPS, Universit´e de Haute Alsace, France Abstract In this paper, we introduce a new system for ECG beat classification us- ing Support Vector Machines (SVMs) classifier with rejection. After ECG

Boyer, Edmond

293

Wetlands Research Program Technical Report WRP-DE-4 A Hydrogeomorphic Classification for Wetlands  

E-Print Network (OSTI)

Wetlands Research Program Technical Report WRP-DE-4 A Hydrogeomorphic Classification for Wetlands of the number designating technical reports of research published under the Wetlands Research Program identify;.-- Wetlands Research Program Technical Report WRP-DE-4 August 1993 A Hydrogeomorphic Classification

Gray, Matthew

294

Radiological hazard classification of DOE facilities by DOE STD-1027-92: LANL nuclear facility list  

SciTech Connect

Los Alamos facilities containing significant radiological hazards have been reclassified according to DOE-SID 1027-92, a recently issued guide for hazard classification. DOE-STD 1027-92 was provided in support of DOE Order 5480.23 to identify which facilities would be governed under DOE 5480.23 requirements; these would presumably be called nuclear facilities. This new classification has affected the original list of 18 LANL nuclear facilities by increasing it to 39. It has also lowered the classification of TA-55-4, the plutonium processing facility containing highest intrinsic hazard at LANL, from the highest classification to an intermediate classification. This presentation addresses the impact of these changes in the nuclear facility list in the areas of radiological health, safety analysis documentation, and risk management.

Elder, J.C.

1993-05-01T23:59:59.000Z

295

Radiological hazard classification of DOE facilities by DOE STD-1027-92: LANL nuclear facility list  

SciTech Connect

Los Alamos facilities containing significant radiological hazards have been reclassified according to DOE-SID 1027-92, a recently issued guide for hazard classification. DOE-STD 1027-92 was provided in support of DOE Order 5480.23 to identify which facilities would be governed under DOE 5480.23 requirements; these would presumably be called nuclear facilities. This new classification has affected the original list of 18 LANL nuclear facilities by increasing it to 39. It has also lowered the classification of TA-55-4, the plutonium processing facility containing highest intrinsic hazard at LANL, from the highest classification to an intermediate classification. This presentation addresses the impact of these changes in the nuclear facility list in the areas of radiological health, safety analysis documentation, and risk management.

Elder, J.C.

1993-01-01T23:59:59.000Z

296

Influence of stimuli colour on feature classification for BCI applications  

Science Journals Connector (OSTI)

One of the key points of Brain Computer Interface (BCI) system is how different Electroencephalogram (EEG) features are abstracted and distinguished. Therefore, EEG signal processing method is the focus of BCI. In this study, four different flickering frequencies in low-frequency region were used to elicit the SSVEPs and were displayed on a Liquid Crystal Display (LCD) monitor using LabVIEW. Four stimuli colours, green, red, blue and violet, were used in this study to investigate the influence of colour on SSVEPs. The EEG signals recorded from the occipital region were segmented into 1 second windows and features were extracted by using wavelet transform. Support Vector Machines (SVMs) are used for classification. In colour comparison, SSVEP with the violet colour showed higher accuracy than that with other stimuli.

Rajesh Kumar Singla; Arun Khosla; R. Jha

2014-01-01T23:59:59.000Z

297

Bayesian network models for hierarchical text classification from a thesaurus  

Science Journals Connector (OSTI)

We propose a method which, given a document to be classified, automatically generates an ordered set of appropriate descriptors extracted from a thesaurus. The method creates a Bayesian network to model the thesaurus and uses probabilistic inference to select the set of descriptors having high posterior probability of being relevant given the available evidence (the document to be classified). Our model can be used without having preclassified training documents, although it improves its performance as long as more training data become available. We have tested the classification model using a document dataset containing parliamentary resolutions from the regional Parliament of Andaluca at Spain, which were manually indexed from the Eurovoc thesaurus, also carrying out an experimental comparison with other standard text classifiers.

Luis M. de Campos; Alfonso E. Romero

2009-01-01T23:59:59.000Z

298

Processing of prosthetic heart valve sounds for classification. Revision 1  

SciTech Connect

People with serious heart conditions have had their expected life span extended considerably with the development of the prosthetic heart valve especially with the great strides made in valve design. Even though the designs are extremely reliable, the valves are mechanical and operating continuously over a long period, therefore, structural failures can occur due to fatigue. Measuring heart sounds non-invasively in a noisy environment puts more demands on the signal processing to extract the desired signals from the noise. In this paper the authors discuss acoustical signal processing techniques developed to process noisy heart valve sounds measured by a sensitive, surface contact microphone and used for the eventual classification of the valve.

Candy, J.V.; Jones, H.E.

1994-04-01T23:59:59.000Z

299

Classification of groundwater at the Nevada Test Site  

SciTech Connect

Groundwater occurring at the Nevada Test Site (NTS) has been classified according to the ``Guidelines for Ground-Water Classification Under the US Environmental Protection Agency (EPA) Ground-Water Protection Strategy`` (June 1988). All of the groundwater units at the NTS are Class II, groundwater currently (IIA) or potentially (IIB) a source of drinking water. The Classification Review Area (CRA) for the NTS is defined as the standard two-mile distance from the facility boundary recommended by EPA. The possibility of expanding the CRA was evaluated, but the two-mile distance encompasses the area expected to be impacted by contaminant transport during a 10-year period (EPA,s suggested limit), should a release occur. The CRA is very large as a consequence of the large size of the NTS and the decision to classify the entire site, not individual areas of activity. Because most activities are located many miles hydraulically upgradient of the NTS boundary, the CRA generally provides much more than the usual two-mile buffer required by EPA. The CRA is considered sufficiently large to allow confident determination of the use and value of groundwater and identification of potentially affected users. The size and complex hydrogeology of the NTS are inconsistent with the EPA guideline assumption of a high degree of hydrologic interconnection throughout the review area. To more realistically depict the site hydrogeology, the CRA is subdivided into eight groundwater units. Two main aquifer systems are recognized: the lower carbonate aquifer system and the Cenozoic aquifer system (consisting of aquifers in Quaternary valley fill and Tertiary volcanics). These aquifer systems are further divided geographically based on the location of low permeability boundaries.

Chapman, J.B.

1994-08-01T23:59:59.000Z

300

Preprint. Final version to appear as: FAISAL, S., ATTFIELD, S. & BLANDFORD, A. (2009) A Classification of Sensemaking Representations. In CHI 2009  

E-Print Network (OSTI)

, representation ACM Classification Keywords H5.m. Information interfaces and presentation (e.g., HCI

Blandford, Ann

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

A global typology of cities : classification tree analysis of urban resource consumption  

E-Print Network (OSTI)

A study was carried out to develop a typology of urban metabolic (or resource consumption) profiles for 155 globally representative cities. Classification tree analysis was used to develop a model for determining how certain ...

Saldivar-Sali, Artessa Niccola D., 1980-

2010-01-01T23:59:59.000Z

302

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

303

Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles  

Science Journals Connector (OSTI)

This paper describes a new supervised method for segmentation of blood vessels in retinal images of multi ethnic school children. This method uses an ensemble classification system of boot strapped decision tr...

M. M. Fraz; P. Remagnino; A. Hoppe; B. Uyyanonvara

2012-01-01T23:59:59.000Z

304

New techniques in rock mass classification: application to welded tuffs at the Nevada Yucca Mountain  

Science Journals Connector (OSTI)

Many rock mass classification systems exist to assist the engineer in assessing the rock support requirements for underground design. On-going research in this area is directed at attempting to utilize the fracta...

R. J. Watters; J. R. Carr; D. M. Chuck

1990-10-01T23:59:59.000Z

305

Acquisition, orthorectification, and object-based classification of unmanned aerial vehicle (UAV) imagery for rangeland monitoring  

E-Print Network (OSTI)

Acquisition, orthorectification, and object-based classification of unmanned aerial vehicle (UAV The use of unmanned aerial vehicles (UAVs) for natural resource applications has increased considerably a UAV relatively quickly and repeatedly at low altitudes. Additional advantages over piloted aircraft

306

Humankinds Place in a Phylogenetic Classification of Living Primates  

Science Journals Connector (OSTI)

In order to accurately place humankind in a phylogenetic classification of Primates it ... all members of the order. Toward this end, we present a consensus view of primate...Homo. Under this arrangement, humankind

Derek E. Wildman; Morris Goodman

2004-01-01T23:59:59.000Z

307

Classification of bulimic-type eating disorders: from DSM-IV to DSM-5  

Science Journals Connector (OSTI)

Proposed changes to the classification of bulimic-type eating disorders in the lead up to the publication of DSM-5 are reviewed. Several of the proposed ... will be addressed in final phase of the DSM-5 developme...

Jonathan M Mond

2013-08-01T23:59:59.000Z

308

Transductive Learning for Spatial Data Classification Michelangelo Ceci, Annalisa Appice, and Donato Malerba  

E-Print Network (OSTI)

Transductive Learning for Spatial Data Classification Michelangelo Ceci, Annalisa Appice, Italy {ceci,appice,malerba}@di.uniba.it Abstract. Learning classifiers of spatial data presents several among objects, the spatial autocorrelation and the abundance of unlabelled data which potentially convey

Malerba, Donato

309

A new Bayesian ensemble of trees approach for land cover classification of satellite imagery  

E-Print Network (OSTI)

projection) over Kings County, Nova Scotia, Canada, to classify the land cover. Several prediction accuracy, projection UTM) sur Kings County, Nova Scotia, Canada, pour la classification de l'occupation du sol

Ranjan, Pritam

310

A bio-inspired computing model for ovarian carcinoma classification and oncogene detection  

Science Journals Connector (OSTI)

......higher in human colorectal cancer, gallbladder carcinoma and brain tumors (Selvakumar et-al., 2007). Attenuation of NMT2...significant at Classification VI. Expressed primarily in the brain, ARHGAP20 belongs to the Rho protein family and is involved......

Meng-Hsiun Tsai; Mu-Yen Chen; Steve G. Huang; Yao-Ching Hung; Hsin-Chieh Wang

2014-12-01T23:59:59.000Z

311

Evaluating Case-based Decision Theory: Predicting Empirical Patterns of Human Classification Learning  

E-Print Network (OSTI)

Evaluating Case-based Decision Theory: Predicting Empirical Patterns of Human Classification which calculates an agent's optimal behavior according to Case- based Decision Theory (Gilboa behavior of this program (and therefore Case-based Decision Theory) correctly predicts the empirically

Tesfatsion, Leigh

312

The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description  

E-Print Network (OSTI)

Detection of targets in hyperspectral images is a specific case of one-class classification. It is particularly relevant in the area of remote sensing and has received considerable interest in the past few years. The thesis proposes the use...

Kollegala, Revathi

2012-07-16T23:59:59.000Z

313

A SUBSPACE METHOD FOR DETECTION AND CLASSIFICATION OF RAIL Zineb Mehel-Saidi1  

E-Print Network (OSTI)

A SUBSPACE METHOD FOR DETECTION AND CLASSIFICATION OF RAIL DEFECTS Zineb Mehel-Saidi1 , G CRAN-ESSTIN, Rue Jean Lamour, 54519 Vandoeuvre-les-Nancy Cedex, France email: {zineb.mehel-saidi

Paris-Sud XI, Université de

314

On classification of second-order PDEs possessing partner symmetries  

Science Journals Connector (OSTI)

Recently we have demonstrated how to use partner symmetries for obtaining noninvariant solutions of the heavenly equations of Plebaski that govern heavenly gravitational metrics. In this paper, we present a classification of scalar second-order PDEs with four variables that possess partner symmetries and contain only second derivatives of the unknown. We present a general form of such a PDE together with recursion relations between partner symmetries. This general PDE is transformed to several simplest canonical forms containing two heavenly equations of Plebaski among them and two other nonlinear equations which we call the mixed heavenly equation and asymmetric heavenly equation. We have calculated all the point and contact symmetries of all the canonical equations which can be used as an input in our recursion relations. On an example of the mixed heavenly equation, we show how to use partner symmetries for obtaining noninvariant solutions of PDEs by a lift from invariant solutions. Finally, we present Ricci-flat self-dual metrics governed by solutions of the mixed heavenly equation and its Legendre transform.

M B Sheftel; A A Malykh

2009-01-01T23:59:59.000Z

315

Historical literature review on waste classification and categorization  

SciTech Connect

The Staff of the Waste Management Document Library (WMDL), in cooperation with Allen Croff have been requested to provide information support for a historical search concerning waste categorization/classification. This bibliography has been compiled under the sponsorship of Oak Ridge National Laboratory`s Chemical Technology Division to help in Allen`s ongoing committee work with the NRC/NRCP. After examining the search, Allen Croff saw the value of the search being published. Permission was sought from the database providers to allow limited publication (i.e. 20--50 copies) of the search for internal distribution at the Oak Ridge National Laboratory and for Allen Croff`s associated committee. Citations from the database providers who did not grant legal permission for their material to be published have been omitted from the literature review. Some of the longer citations have been included in an abbreviated form in the search to allow the format of the published document to be shortened from approximately 1,400 pages. The bibliography contains 372 citations.

Croff, A.G.; Richmond, A.A.; Williams, J.P.

1995-03-01T23:59:59.000Z

316

Classification of heart valve condition using acoustic measurements  

SciTech Connect

Prosthetic heart valves and the many great strides in valve design have been responsible for extending the life spans of many people with serious heart conditions. Even though the prosthetic valves are extremely reliable, they are eventually susceptible to long-term fatigue and structural failure effects expected from mechanical devices operating over long periods of time. The purpose of our work is to classify the condition of in vivo Bjork-Shiley Convexo-Concave (BSCC) heart valves by processing acoustic measurements of heart valve sounds. The structural failures of interest for Bscc valves is called single leg separation (SLS). SLS can occur if the outlet strut cracks and separates from the main structure of the valve. We measure acoustic opening and closing sounds (waveforms) using high sensitivity contact microphones on the patient`s thorax. For our analysis, we focus our processing and classification efforts on the opening sounds because they yield direct information about outlet strut condition with minimal distortion caused by energy radiated from the valve disc.

Clark, G. [Lawrence Livermore National Lab., CA (United States)

1994-11-15T23:59:59.000Z

317

Classification of prosthetic heart valve sounds. A parametric approach  

SciTech Connect

People with heart problems have had their lives extended considerably with the development of the prosthetic heart valve. Great strides have been made in the development of the valves through the use of improved materials as well as efficient mechanical designs. However, since the valves operate continuously over a long period, structural failures can occur-even though they are relatively uncommon. Here the development of techniques to classify the valve either as having intact struts or as having a separated strut, commonly called single leg separation, is discussed. In this paper the signal processing techniques employed to extract the required signals/parameters are briefly reviewed and then it is shown how they can be used to simulate a synthetic heart valve database for eventual Monte Carlo testing. Next, the optimal classifier is developed under assumed conditions and its performance is compared to that of an adpative-type classifier implemented with a probabilistic neural network. Finally, the adaptive classifier is applied to a data set and its performance is analyzed. Based on synthetic data it is shown that excellent performance of the classifiers can be achieved implying a potentially robust solution to this classification problem. 21 refs., 11 figs., 1 tab.

Candy, J.V.; Jones, H.E. [Univ. of California, Livermore, CA (United States)]|[Lawrence Livermore National Lab., CA (United States)

1995-06-01T23:59:59.000Z

318

System diagnostics using qualitative analysis and component functional classification  

DOE Patents (OSTI)

A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system.

Reifman, Jaques (Lisle, IL); Wei, Thomas Y. C. (Downers Grove, IL)

1993-01-01T23:59:59.000Z

319

System diagnostics using qualitative analysis and component functional classification  

DOE Patents (OSTI)

A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system. 5 figures.

Reifman, J.; Wei, T.Y.C.

1993-11-23T23:59:59.000Z

320

Sources, classification, and disposal of radioactive wastes: History and legal and regulatory requirements  

SciTech Connect

This report discusses the following topics: (1) early definitions of different types (classes) of radioactive waste developed prior to definitions in laws and regulations; (2) sources of different classes of radioactive waste; (3) current laws and regulations addressing classification of radioactive wastes; and requirements for disposal of different waste classes. Relationship between waste classification and requirements for permanent disposal is emphasized; (4) federal and state responsibilities for radioactive wastes; and (5) distinctions between radioactive wastes produced in civilian and defense sectors.

Kocher, D.C.

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Comparison of value-added models for school ranking and classification: a Monte Carlo study  

E-Print Network (OSTI)

COMPARISON OF VALUE-ADDED MODELS FOR SCHOOL RANKING AND CLASSIFICATION: A MONTE CARLO STUDY A Dissertation by ZHONGMIAO WANG Submitted to the Office of Graduate Studies of Texas A&M University... AND CLASSIFICATION: A MONTE CARLO STUDY A Dissertation by ZHONGMIAO WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Co...

Wang, Zhongmiao

2009-05-15T23:59:59.000Z

322

Digital classification of composite format color-infrared aerial video imagery  

E-Print Network (OSTI)

) for large-area surveys down to individual crown/species identification for intensive studies. Befort (1986) used large-scale (1:1, 000) normal color aerial sampling photography to manually classify forest sites located in northern Idaho and eastern... may result in classifications comparable or even less accurate than 80-meter resolution products (Latty and Hoffer, 1980; Markham and Townshend, 1981). Nelson et al. (1984) achieved 50-60% classification accuracy for 13 land cover classes for a...

Palmer, Rebecca Anne

2012-06-07T23:59:59.000Z

323

Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders  

Science Journals Connector (OSTI)

Different approaches have been applied for quantitative analysis of EMG signals. This study introduces the effect of Multiscale Principal Component Analysis (MSPCA) denoising method in ElectroMyoGram (EMG) signal classification. The effect of the MSPCA ... Keywords: Artificial neural network (ANN), Electromyography (EMG), Motor unit action potentials (MUAPs), Multiple Signal Classification (MUSIC), Multiscale Principle Component Analysis (MSPCA), Support vector machine (SVM), k-Nearest Neighbor (k-NN)

Ercan Gokgoz, Abdulhamit Subasi

2014-04-01T23:59:59.000Z

324

Knowledge-based algorithm for satellite image classification of urban wetlands  

Science Journals Connector (OSTI)

It has been a challenge to accurately detect urban wetlands with remotely sensed data by means of pixel-based image classification. This technical difficulty results mainly from inadequate spatial resolutions of satellite imagery spectral similarities between urban wetlands and adjacent land covers and spatial complexity of wetlands in human transformed heterogeneous urban landscapes. To address this issue an image classification approach has been developed to improve the mapping accuracy of urban wetlands by integrating the pixel-based classification with a knowledge-based algorithm. The algorithm includes a set of decision rules of identifying wetland cover in relation to their elevation spatial adjacencies habitat conditions hydro-geomorphological characteristics and relevant geo-statistics. ERDAS Imagine software was used to develop the knowledge base and implement the classification. The study area is the metropolitan region of Kansas City USA. SPOT satellite images of 1992 2008 and 2010 were classified into four classes - wetland farmland built-up land and forestland. The results suggest that the knowledge-based image classification approach can enhance urban wetland detection capabilities and classification accuracies with remotely sensed satellite imagery.

2014-01-01T23:59:59.000Z

325

Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS  

Science Journals Connector (OSTI)

The Large Synoptic Survey Telescope (LSST) will be a large wide?field ground?based system designed to obtain starting in 2015 multiple images of the sky that is visible from Cerro Pachon in Northern Chile. About 90% of the observing time will be devoted to a deep?wide?fast survey mode which will observe a 20 000? deg 2 region about 1000 times during the anticipated 10 years of operations (distributed over six bands ugrizy). Each 30?second long visit will deliver 5? depth for point sources of r?24.5 on average. The co?added map will be about 3 magnitudes deeper and will include 10 billion galaxies and a similar number of stars. We discuss various measurements that will be automatically performed for these 20 billion sources and how they can be used for classification and determination of source physical and other properties. We provide a few classification examples based on SDSS data such as color classification of stars color?spatial proximity search for wide?angle binary stars orbital?color classification of asteroid families and the recognition of main Galaxy components based on the distribution of stars in the position?metallicity?kinematics space. Guided by these examples we anticipate that two grand classification challenges for LSST will be 1) rapid and robust classification of sources detected in difference images and 2) simultaneous treatment of diverse astrometric and photometric time series measurements for an unprecedentedly large number of objects.

. Ivezi?; T. Axelrod; A. C. Becker; J. Becla; K. Borne; D. L. Burke; C. F. Claver; K. H. Cook; A. Connolly; D. K. Gilmore; R. L. Jones; M. Juri?; S. M. Kahn; K.?T. Lim; R. H. Lupton; D. G. Monet; P. A. Pinto; B. Sesar; C. W. Stubbs; J. A. Tyson

2008-01-01T23:59:59.000Z

326

Updating the US Hydrologic Classification: An Approach to Clustering and Stratifying Ecohydrologic Data  

SciTech Connect

Hydrologic classifications unveil the structure of relationships among groups of streams with differing stream flow and provide a foundation for drawing inferences about the principles that govern those relationships. Hydrologic classes provide a template to describe ecological patterns, generalize hydrologic responses to disturbance, and stratify research and management needs applicable to ecohydrology. We developed two updated hydrologic classifications for the continental US using two streamflow datasets of varying reference standards. Using only reference-quality gages, we classified 1715 stream gages into 12 classes across the US. By including more streamflow gages (n=2618) in a separate classification, we increased the dimensionality (i.e. classes) and hydrologic distinctiveness within regions at the expense of decreasing the natural flow standards (i.e. reference quality). Greater numbers of classes and higher regional affiliation within our hydrologic classifications compared to that of the previous US hydrologic classification (Poff, 1996) suggested that the level of hydrologic variation and resolution was not completely represented in smaller sample sizes. Part of the utility of classification systems rests in their ability classify new objects and stratify analyses. We constructed separate random forests to predict hydrologic class membership based on hydrologic indices or landscape variables. In addition, we provide an approach to assessing potential outliers due to hydrologic alteration based on class assignment. Departures from class membership due to disturbance take into account multiple hydrologic indices simultaneously; thus, classes can be used to determine if disturbed streams are functioning within the realm of natural hydrology.

McManamay, Ryan A [ORNL; Bevelhimer, Mark S [ORNL; Kao, Shih-Chieh [ORNL

2013-01-01T23:59:59.000Z

327

Quiz # 7, STAT 383, Prof. Suman Sanyal, April 8, 2009 (Q2, Page 354) To decide whether the pipe welds in a nuclear power plant meet  

E-Print Network (OSTI)

welds in a nuclear power plant meet specifications, a random sample of welds is to be selected : µ nuclear power plants is to determine if welds

Sanyal, Suman

328

Quiz # 1, STAT 383, Dr. Suman Sanyal, January 22, 2009 Statistics is the science of collecting, describing and interpreting data. A variable is discrete if  

E-Print Network (OSTI)

that our data consists of 200 observations on x = the number of major defects on a new car of a certain distribution of x. Then c = 0.1 and the long-run proportion of cars having at most two under inflated tires

Sanyal, Suman

329

Quiz # 4, STAT 383, Prof. Suman Sanyal, March 25, 2009 Q10 (Page 301). Each of the following is a confidence interval for = true average  

E-Print Network (OSTI)

@clarkson.edu #12;Q12 (Page 302). Heavy-metal pollution of various ecosystem is a serious environmen- tal threat

Sanyal, Suman

330

Large scale multi-class classification with truncated nuclear norm regularization  

Science Journals Connector (OSTI)

Abstract In this paper, we consider the problem of multi-class image classification when the classes behaviour has a low rank structure. That is, classes can be embedded into a low dimensional space. Traditional multi-class classification algorithms usually use nuclear norm to approximate the rank of the weight matrix. Considering the limited ability of the nuclear norm for the accurate approximation, we propose a new scalable large scale multi-class classification algorithm by using the recently proposed truncated nuclear norm as a better surrogate of the rank operator of matrices along with multinomial logisitic loss. To solve the non-convex and non-smooth optimization problem, we further develop an efficient iterative procedure. In each iteration, by lifting the non-smooth convex subproblem into an infinite dimensional ?1 norm regularized problem, a simple and efficient accelerated coordinate descent algorithm is applied to find the optimal solution. We conduct a series of evaluations on several public large scale image datasets, where the experimental results show the encouraging improvement of classification accuracy of the proposed algorithm in comparison with the state-of-the-art multi-class classification algorithms.

Yao Hu; Zhongming Jin; Yi Shi; Debing Zhang; Deng Cai; Xiaofei He

2015-01-01T23:59:59.000Z

331

A study of supervised classification of Hipparcos variable stars using PCA and Support Vector Machines  

E-Print Network (OSTI)

We report on the automated classification of Hipparcos variable stars by a supervised classification algorithm known as Support Vector Machines. The dataset comprised about 3200 stars, each characterized by 51 features. These are the B-V and V-I colours, the skewness of the lightcurve, the median subtracted 10-percentiles and forty bins from the Fourier envelope of the lightcurve. We also tested whether the classification performance can be improved by using the most significant principal components calculated from this dataset. We show that the overall classification performance (as measured by the fraction of true positives) on the original dataset is of the order of 62%. For about 9 of the 18 different variability classes, the classification accuracy is significantly larger than 60% (up to 98%). Introducing principal components does not significantly improve this result. We further find that many of the different variability classes are not very distinct and possibly poorly defined, i.e. there exists a considerable class overlap. It is concluded that this `contamination' of the template set implies minimum errors and thus degrades the overall performance.

P. G. Willemsen; L. Eyer

2007-12-18T23:59:59.000Z

332

Using multiple Landsat scenes in an ensemble classifier reduces classification error in a stable nearshore environment  

Science Journals Connector (OSTI)

Abstract Medium-scale land cover maps are traditionally created on the basis of a single cloud-free satellite scene, leaving information present in other scenes unused. Using 1309 field observations and 20 cloud- and error-affected Landsat scenes covering Zanzibar Island, this study demonstrates that the use of multiple scenes can both allow complete coverage of the study area in the absence of cloud-free scenes and obtain substantially improved classification accuracy. Automated processing of individual scenes includes derivation of spectral features for use in classification, identification of clouds, shadows and the land/water boundary, and random forest-based land cover classification. An ensemble classifier is then created from the single-scene classifications by voting. The accuracy achieved by the ensemble classifier is 70.4%, compared to an average of 62.9% for the individual scenes, and the ensemble classifier achieves complete coverage of the study area while the maximum coverage for a single scene is 1209 of the 1309 field sites. Given the free availability of Landsat data, these results should encourage increased use of multiple scenes in land cover classification and reduced reliance on the traditional single-scene methodology.

Anders Knudby; Lina Mtwana Nordlund; Gustav Palmqvist; Karolina Wikstrm; Alan Koliji; Regina Lindborg; Martin Gullstrm

2014-01-01T23:59:59.000Z

333

Classification of Nuclear Weapons-Related Information (Restricted Data and Formerly Restricted Data)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CLASSIFICATION OF CLASSIFICATION OF NUCLEAR WEAPONS-RELATED INFORMATION Restricted Data and Formerly Restricted Data (RD and FRD) June 2012 2 3 Purpose To familiarize individuals from agencies outside of DOE who may come in contact with RD and FRD with the procedures for identifying, classifying, marking, handling, and declassifying documents containing that information as required by  The Atomic Energy Act and  10 Code of Federal Regulation (CFR) Part 1045, Nuclear Classification and Declassification §1045.35 4 Not the Purpose This briefing does not authorize you to classify or declassify documents containing RD or FRD. Additional training is required to classify documents containing RD or FRD or identify RD or FRD within a document for redaction. Only authorized DOE

334

A Proposed New Classification Of The Granites Of Egypt | Open Energy  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » A Proposed New Classification Of The Granites Of Egypt Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A Proposed New Classification Of The Granites Of Egypt Details Activities (0) Areas (0) Regions (0) Abstract: Granites and granitoids constitute an important rock group that covers vast areas of the Arabian-Nubian Shield in Egypt. They range in composition from quartz diorite and tonalite, through granodiorite and quartz monzonite to true granites and alkaline-peralkaline granites. Several workers tried the identification and classification of these

335

AUTOMATED MORPHOLOGICAL CLASSIFICATION OF APM GALAXIES BY SUPERVISED ARTIFICIAL NEURAL NETWORKS  

E-Print Network (OSTI)

We train Artificial Neural Networks to classify galaxies based solely on the morphology of the galaxy images as they appear on blue survey plates. The images are reduced and morphological features such as bulge size and the number of arms are extracted, all in a fully automated manner. The galaxy sample was first classified by 6 independent experts. We use several definitions for the mean type of each galaxy, based on those classifications. We then train and test the network on these features. We find that the rms error of the network classifications, as compared with the mean types of the expert classifications, is 1.8 Revised Hubble Types. This is comparable to the overall rms dispersion between the experts. This result is robust and almost completely independent of the network architecture used.

A. Naim; O. Lahav; L. Sodre Jr.; M. C. Storrie-Lombardi

1995-03-01T23:59:59.000Z

336

A modified version of the geomechanics classification for entry design in underground coal mines  

SciTech Connect

The Geomechanics Classification was modified for entry and roof support design in underground room-and-pillar coal mines. Adjustment multipliers were introduced to incorporate the influence of strata weatherability, high horizontal stresses, and the roof support reinforcement factor into the existing classification system. Sixty-two case histories of both standing and fallen mine roof were collected from two mines in the northern Appalachian coalfield. Twenty-seven engineering and geologic parameters were recorded for each case. A partial correlation analysis was carried out on the cases to establish which parameters have a significant impact upon the supported stand-up time of coal mine roof. Survival analysis, a statistical technique used in medical research to assess the effect of a drug or treatment on a patient's life expectancy, was conducted together with stepwise multiple regression to derive values for the adjustment multipliers. A practical example is included to illustrate the application of the modified Geomechanics Classification to underground coal mine design.

Newman, D.A.; Bieniawski, Z.T.

1985-01-01T23:59:59.000Z

337

A predictive model for particle size distribution and yield for Bayer precipitation and classification  

E-Print Network (OSTI)

of alumina hydrate particles demonstrated in Figure l. The calcination step depicted in the process illustration is needed as the final step to return the alumina hydrate to alumina. This may be done in kilns or flash calciners. In the Bayer process, a.... In the precipitators, the alumina hydrate is deposited on recycled seed. The slurry is separated by particle size in the classification section. Large particles Rom classification are filtered for use in calcination or products such as Alcoa's C30 Hydrate, while...

Kapraun, Christopher Michael

2012-06-07T23:59:59.000Z

338

Application of artificial neural networks for damage indices classification with the use of Lamb waves for the aerospace structures.  

E-Print Network (OSTI)

Application of artificial neural networks for damage indices classification with the use of Lamb of view. Artificial neural network has been used for the classification of fatigue cracks and artificial@agh.edu.pl, *corresponding author Keywords: NDT, Ultrasonic testing, Lamb waves, Artificial intelligence, Artificial Neural

339

Biomedical Image Classification with Random Subwindows and Decision Trees Raphael Maree, Pierre Geurts, Justus Piater, and Louis Wehenkel  

E-Print Network (OSTI)

Biomedical Image Classification with Random Subwindows and Decision Trees Rapha¨el Mar´ee, Pierre Abstract In this paper, we address a problem of biomedical image classification that involves the automatic is to build a model that will be able to predict accurately the class of new, unseen images. Biomedical

Wehenkel, Louis

340

Fuzzy Classification of Genome Sequences Prior to Assembly Based on Similarity Measures*  

E-Print Network (OSTI)

Fuzzy Classification of Genome Sequences Prior to Assembly Based on Similarity Measures* Sara number: 0447416). Abstract - Nucleotide sequencing of genomic data is an important step towards building into the overall genome. However, the existence of insertions, deletions and substitutions can complicate

Nicolescu, Monica

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Uncertain Information Fusion for Robust Target Classification in Surveillance Battlefield Environments  

E-Print Network (OSTI)

. Through the use of these fusion rules, we make informed predictions of the type of target, which, we focus on the information fusion processing that refines the estimation of types for a specific 2013 8 82 1) Uncertain Information Fusion for Robust Target Classification

Noh, Sanguk

342

Wavelengths, Energy Level Classifications, and Energy Levels for the Spectrum of Neutral Mercury  

E-Print Network (OSTI)

Wavelengths, Energy Level Classifications, and Energy Levels for the Spectrum of Neutral Mercury E of neutral mercury Hg I for both the single isotope 198 Hg and for mercury in its natural isotopic abundance of neutral mercury for both 198 Hg and the natural isotopic mixture. Tabular data for 105 classified lines

Magee, Joseph W.

343

Weighted local and global regressive mapping: A new manifold learning method for machine fault classification  

Science Journals Connector (OSTI)

This article studies if machine faults can be effectively determined in a reduced dimensional space. When faults occur in machines, machine vibration signals will deviate from its normal signal pattern. Such changes can be reflected in the features constructed ... Keywords: Fault classification, Feature extraction, Unsupervised learning, Vibrations

Xiaohang Jin, Fang Yuan, Tommy W. S. Chow, Mingbo Zhao

2014-04-01T23:59:59.000Z

344

Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks  

E-Print Network (OSTI)

Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks Nizar of modeling and design to improve the performances of our tool. Key-Words: - Artificial Neural Networks data analysis tools. Concerning this latter point, we have proposed that Artificial Neural Networks

Paris-Sud XI, Université de

345

Artificial Neural Network Technology: for Classification and Cartography of Scientific and Technical Information.  

E-Print Network (OSTI)

Artificial Neural Network Technology: for Classification and Cartography of Scientific Artificial Neural Networks (ANNs) to extend NEURODOC into a neural platform for the cluster analysis with the aid of neural networks (models which are essentially non-linear and threshold-driven). In the design

Paris-Sud XI, Université de

346

An Application of the Nearest Correlation Matrix on Web Document Classification  

E-Print Network (OSTI)

An Application of the Nearest Correlation Matrix on Web Document Classification Houduo Qi Zhonghang instilled moral values in his students. Abstract The Web document is organized by a set of textual data according to a predefined logi- cal structure. It has been shown that collecting Web documents with similar

Qi, Hou-Duo

347

Object based image classification: state of the art and computational challenges  

Science Journals Connector (OSTI)

As the spatial resolution of satellite remote sensing imagery is advancing towards sub meter, the predominantly pixel based (or single instance) classification methods needs be redesigned to take advantage of the spatial and structural patterns found ... Keywords: big spatial data, machine learning, multiple instance learning, object based image analysis, pattern matching

Ranga Raju Vatsavai

2013-11-01T23:59:59.000Z

348

M-FISH IMAGE REGISTRATION AND CLASSIFICATION Yu-Ping Wang  

E-Print Network (OSTI)

M-FISH IMAGE REGISTRATION AND CLASSIFICATION Yu-Ping Wang School of Computing and Engineering hybridization (M-FISH) imaging is a recently developed cytogenetic technique for cancer diagnosis and research on genetic disorders. By simultaneously viewing the multiple-labeled specimens in different color channels, M-FISH

Poirazi, Yiota

349

Automated classification of A/E/C web content R. Amor & K. Xu  

E-Print Network (OSTI)

purely on the search terms entered by the user. This means that the web pages which are found are often search en- gine. The premise behind this approach is that it is possible to accurately identify then a user searching for content in a particular area (e.g. by specifying a classification code

Amor, Robert

350

Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors  

E-Print Network (OSTI)

, Australia Sullivan Nicolaides Pathology, Australia Abstract The Anti-Nuclear Antibody (ANA) clinical of several vari- ants of the descriptor on two publicly available datasets: ICPR HEp-2 cell classification contest dataset and the new SNPHEp-2 dataset. To our knowledge, this is the first time codebook

Sanderson, Conrad

351

Towards a possibilistic classification of gastroenterology patterns in a complex environment  

Science Journals Connector (OSTI)

In this paper, several types of imperfection and uncertainty that may affect the information elements in any pattern recognition system will be pondered, whether when object classification depends on datasets, or when it relies on expert knowledge sets. ... Keywords: fuzzy relation composition, information imperfection and uncertainty, knowledge base, possibility theory

Anas Dahabiah; John Puentes; Basel Solaiman

2010-03-01T23:59:59.000Z

352

A framework for nation-centric classification and observation of the internet  

Science Journals Connector (OSTI)

The Internet has matured to a mission-critical infrastructure, and recently attracted much attention at political and legal levels in many countries. Civil actions regarding the Internet infrastructure require a thorough understanding of the national ... Keywords: AS-level classification, German internet graph, methodology, nation-state internet routing

Matthias Whlisch; Sebastian Meiling; Thomas C. Schmidt

2010-11-01T23:59:59.000Z

353

Investigating the effects of scale in MRF texture classification Scott Blunsden1, Louis Atallah2  

E-Print Network (OSTI)

Investigating the effects of scale in MRF texture classification Scott Blunsden1, Louis Atallah2 1 School of Informatics, University of Edinburgh, s.j.blunsden@sms.ed.ac.uk 2 The British University in Dubai/ University of Edinburgh, PO Box 502216, Dubai, UAE, latallah@inf.ed.ac.uk Keywords

Atallah, Louis

354

Static Load Classification for Improving the Value Predictability of Data-Cache Misses  

E-Print Network (OSTI)

Static Load Classification for Improving the Value Predictability of Data-Cache Misses Martin cache miss per one hundred accesses can double a program's execution time. To better toler- ate the data-cache miss latency, architects have proposed various speculation mechanisms, including load-value pre

Burtscher, Martin

355

Extreme learning machines for soybean classification in remote sensing hyperspectral images  

Science Journals Connector (OSTI)

This paper focuses on the application of Extreme Learning Machines (ELM) to the classification of remote sensing hyperspectral data. The specific aim of the work is to obtain accurate thematic maps of soybean crops, which have proven to be difficult ... Keywords: Agricultural remote sensing, Extreme learning machine, Hyperspectral images

Ramn Moreno; Francesco Corona; Amaury Lendasse; Manuel Graa; Lnio S. Galvo

2014-03-01T23:59:59.000Z

356

Introduction Inverting Construction Y1 Results Classification of Linear Codes with Prescribed  

E-Print Network (OSTI)

Introduction Inverting Construction Y1 Results Classification of Linear Codes with Prescribed / 14 #12;Introduction Inverting Construction Y1 Results Introduction Motivation Gaps between lower with automorphism of order 7! ­ joint work with G. Nebe) Inspired by Y. Edel, J. Bierbrauer, Inverting construction

Dettweiler, Michael

357

ARKTOS: An Intelligent System for SAR Sea Ice Image Classification Leen-Kiat Soh1  

E-Print Network (OSTI)

in meteorology and in global climate studies. For example, the thickness of sea ice influences the heat fluxARKTOS: An Intelligent System for SAR Sea Ice Image Classification Leen-Kiat Soh1 , Costas sea ice image analysis named ARKTOS (Advanced Reasoning using Knowledge for Typing Of Sea ice). ARKTOS

Kansas, University of

358

Model sparsity and brain pattern interpretation of classification models in neuroimaging  

Science Journals Connector (OSTI)

Interest is increasing in applying discriminative multivariate analysis techniques to the analysis of functional neuroimaging data. Model interpretation is of great importance in the neuroimaging context, and is conventionally based on a 'brain map' ... Keywords: Classification, Kernel methods, Machine learning, Model interpretation, NPAIRS resampling, Neuroimaging, Pattern analysis, Regularization, Sparsity

Peter M. Rasmussen; Lars K. Hansen; Kristoffer H. Madsen; Nathan W. Churchill; Stephen C. Strother

2012-06-01T23:59:59.000Z

359

Classification of melanoma using tree structured wavelet Sachin V. Patwardhan a  

E-Print Network (OSTI)

method of developing tree structures utilizing the maximum channel energy criteria with a fixed energyClassification of melanoma using tree structured wavelet transforms Sachin V. Patwardhan a , Atam P. Dhawan a, *, Patricia A. Relue b a Department of Electrical and Computer Engineering, New Jersey

Relue, Patricia

360

Ontologies et classifications descriptives psychiatriques Au del du DSM : les ontologies comme aide  

E-Print Network (OSTI)

Ontologies et classifications descriptives psychiatriques Au delà du DSM : les ontologies comme'hospi- talisation issus du centre hospitalier Sainte-Anne, les ressources structurées seront la CIM-10, le DSM et problèmes de santé connexes (CIM - World Health Organization (1992)) dont le Chapitre 05 ­ « Troubles men

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "geothermometry sanyal classification" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


361

EFFICIENT VEHICLE TRACKING AND CLASSIFICATION FOR AN AUTOMATED TRAFFIC SURVEILLANCE SYSTEM  

E-Print Network (OSTI)

surveillance system needs to detect vehicles and classify them if possible. Generating vehicle trajectoriesEFFICIENT VEHICLE TRACKING AND CLASSIFICATION FOR AN AUTOMATED TRAFFIC SURVEILLANCE SYSTEM Amol to detect the pose of a vehicle in the 3D world. This information is used in a model-based vehicle detection

Nicolescu, Mircea

362

Classification of investment funds by self-organizing maps , A. Lendasse1  

E-Print Network (OSTI)

Classification of investment funds by self-organizing maps P. Cardon1 , A. Lendasse1 , V. Wertz1. du Levant, B-1348 Louvain-la-Neuve, Belgium, verleysen@dice.ucl.ac.be. An investment fund (or mutual fund) is an investment structure collecting money coming from individuals and investing according

Verleysen, Michel

363

IEEE SENSORS JOURNAL, VOL. 12, NO. 6, JUNE 2012 1709 Target Detection and Classification Using  

E-Print Network (OSTI)

IEEE SENSORS JOURNAL, VOL. 12, NO. 6, JUNE 2012 1709 Target Detection and Classification Using Seismic and PIR Sensors Xin Jin, Student Member, IEEE, Soumalya Sarkar, Asok Ray, Fellow, IEEE, Shalabh Gupta, Member, IEEE, and Thyagaraju Damarla, Senior Member, IEEE Abstract--Unattended ground sensors

Ray, Asok

364

Semi-automatic classification of bird vocalizations using spectral peak tracks  

E-Print Network (OSTI)

migratory birds in the vicinity of wind turbine generators NWCC, 2004 , and ornithological measurements for aircraft bird strike avoidance, will require real time classification in the presence of noise and other by the investigator. They applied this method to vocalizations from two bird species recorded in a low noise

Maher, Robert C.

365

Assessment of the Performance of Fuzzy Cluster Analysis in the Classification of RFC Documents  

E-Print Network (OSTI)

on a relevance measure of other documents to the ones that are part of the defined tracks. The questionAssessment of the Performance of Fuzzy Cluster Analysis in the Classification of RFC Documents M. E of finding knowledge from meta-data. A collection of RFC documents has been used to analyse the behaviour

Haddadi, Hamed

366

Evolving Recurrent Linear-GP for Document Classification and Word Tracking  

E-Print Network (OSTI)

Evolving Recurrent Linear-GP for Document Classification and Word Tracking Xiao Luo, A. Nur Zincir word sequences. During this process, word sequences of documents are tracked, frequent patterns of temporal sequences within a document. This in return automates the process of word tracking, frequent word

Zincir-Heywood, Nur

367

A classification approach for less popular webpages based on latent semantic analysis and rough set model  

Science Journals Connector (OSTI)

Abstract Nowadays, with the explosive growth of web information, the webpage classification faces great challenge. Computers have difficulty in understanding the semantic meaning of textual or non-textual webpages. Fortunately, Web 2.0 based collaborative tagging system brings new opportunities to solve this problem. It abstracts structured tags from unstructured content in webpages. However, large numbers of webpages on the Internet are less popular. Their tagging information is sparse, which makes their topic unclear and leads to ambiguous classification. Illuminated by the ambiguous classification, we name the less popular webpage hesitant webpage. In this paper, we propose an advanced approach for hesitant webpages classification. Firstly, hesitant webpages are divided into bridges, hubs and attached webpages according to their roles on the Internet. Secondly, attached webpages are classified by mining and extending their information in two perspectives. One is the latent semantic analysis (LSA) which is applied to fully explore the semantic meaning of sparse tags. It promotes accurate cognition of webpages semantically close to attached webpages. Another is the proposed density-relation-based rough set model which measures the affiliation degree of attached webpages in different categories. Experiment on real data shows that our approach effectively classifies the hesitant webpages base on the semantic meaning.

Jun Wang; Jiaxu Peng; Ou Liu

2015-01-01T23:59:59.000Z

368

A Hybrid Classification Approach based on FCA and Emerging Patterns -An application for the  

E-Print Network (OSTI)

, a molecule showing an abnormally elevated expression in cancer disease [1]. Activation of this receptor can on pattern mining and can be used to characterize classes of objects w.r.t. a priori labels. In this paper and in the development of cancer. Keywords: Formal Concept Analysis, supervised classification, unsu- pervised

Paris-Sud XI, Université de

369

TOPOLOGICAL RAMSEY SPACES FROM FRAISSE CLASSES, RAMSEY-CLASSIFICATION THEOREMS, AND INITIAL STRUCTURES IN THE  

E-Print Network (OSTI)

STRUCTURES IN THE TUKEY TYPES OF P-POINTS NATASHA DOBRINEN, JOS´E G. MIJARES, AND TIMOTHY TRUJILLO Dedicated properties. The Ramsey-classification theorems are applied to classify the structure of the Tukey types of all ultrafilters Tukey reducible to the associated ultrafilter. Furthermore, the structure

Dobrinen, Natasha

370

Supervised Classification of Activities of Daily Living in Health Smart Homes using SVM  

E-Print Network (OSTI)

Supervised Classification of Activities of Daily Living in Health Smart Homes using SVM Anthony studies of our laboratory focus on the monitoring of elderly people at home. This aims at detect, as early Home is used to achieve this goal. This flat includes different sensors. The data from the various

Paris-Sud XI, Université de

371

Detection and classification of retinal lesions for grading of diabetic retinopathy  

Science Journals Connector (OSTI)

Diabetic Retinopathy (DR) is an eye abnormality in which the human retina is affected due to an increasing amount of insulin in blood. The early detection and diagnosis of DR is vital to save the vision of diabetes patients. The early signs of DR which ... Keywords: Classification, Cotton wool spots, Diabetic retinopathy, Haemorrhage, Hard exudates, Microaneurysms, NPDR, m-Mediods

M. Usman Akram; Shehzad Khalid; Anam Tariq; Shoab A. Khan; Farooque Azam

2014-02-01T23:59:59.000Z

372

Identification and classification of microaneurysms for early detection of diabetic retinopathy  

Science Journals Connector (OSTI)

Diabetic retinopathy is a progressive eye disease which may cause blindness if not detected and treated in time. The early detection and diagnosis of diabetic retinopathy is important to protect the patient's vision. The accurate detection of microaneurysms ... Keywords: Classification, Diabetic retinopathy, Medical image processing, Microaneurysms, m-Mediods

M. Usman Akram; Shehzad Khalid; Shoab A. Khan

2013-01-01T23:59:59.000Z

373

CLASSIFICATION: Social: Anthropology TITLE: Kusunda: an Indo-Pacific language in Nepal  

E-Print Network (OSTI)

CLASSIFICATION: Social: Anthropology TITLE: Kusunda: an Indo-Pacific language in Nepal AUTHORS,247 1 #12;Kusunda: an Indo-Pacific language in Nepal 2 ABSTRACT: The Kusunda people of central Nepal both a linguistic and genetic perspective. #12;Kusunda: an Indo-Pacific language in Nepal 3 The Kusunda

Wang, William Shi-Yuan

374

A Dual-Polarization Radar Hydrometeor Classification Algorithm for Winter Precipitation  

E-Print Network (OSTI)

associated with winter storm precipitation type, accumulation, and timing is a major forecasting, safetyA Dual-Polarization Radar Hydrometeor Classification Algorithm for Winter Precipitation ELIZABETH J The purpose of this study is to demonstrate the use of polarimetric observations in a radar-based winter

Collett Jr., Jeffrey L.

375

A dual-polarization radar hydrometeor classification algorithm for winter precipitation1 Elizabeth J. Thompson*1  

E-Print Network (OSTI)

uncertainty associated with winter storm precipitation type, accumulation and36 timing is a paramount1 A dual-polarization radar hydrometeor classification algorithm for winter precipitation1 2 winter hydrometeor types (except sleet and freezing rain) based solely on polarimetric data, with29

Rutledge, Steven

376

The Council of Industrial Boiler Owners special project on non-utility fossil fuel ash classification  

SciTech Connect

Information is outlined on the Council of Industrial Boiler Owners (CIBO) special project on non-utility fossil fuel ash classification. Data are presented on; current (1996) regulatory status of fossil-fuel combustion wastes; FBC technology identified for further study; CIBO special project methods; Bevill amendment study factors; data collection; and CIBO special project status.

Svendsen, R.L.

1996-12-31T23:59:59.000Z

377

Evaluation of Gender Classification Methods on Thermal and Near-infrared Face Images  

E-Print Network (OSTI)

Evaluation of Gender Classification Methods on Thermal and Near-infrared Face Images Cunjian Chen, the possibility of deducing gender from face images obtained in the near-infrared (NIR) and thermal (THM) spectra technologies, thermal and near-infrared images are beginning to be used in face- related applications

Ross, Arun Abraham

378

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis  

Science Journals Connector (OSTI)

......such classification tasks as wine recognition, letter recognition...with the creation of high-quality and robust dia-gnostic and...whether it is possible to increase diagnostic performance further...platform that cre-ates high-quality, if not optimal, diagnostic......

Alexander Statnikov; Constantin F. Aliferis; Ioannis Tsamardinos; Douglas Hardin; Shawn Levy

2005-03-01T23:59:59.000Z

379

Proteomic and genomic data classification using decision tree based ensemble methods  

E-Print Network (OSTI)

Proteomic and genomic data classification using decision tree based ensemble methods Application Benelux Bioinformatics Conference, 2005 Geurts et al. (University of Liège) Proteomic and genomic data To appear in Bioinformatics (2005). Geurts et al. (University of Liège) Proteomic and genomic data

Wehenkel, Louis

380

North American Industry Classification System (NAICS) Wood Products and Equipment Codes  

E-Print Network (OSTI)

North American Industry Classification System (NAICS) Wood Products and Equipment Codes Louisiana contains NAICS codes and associated SIC codes for wood products and wood products equipment manufacturers, lathes, and routers to shape wood. NAICS SIC Corresponding Index Entries 321912 2426 Blanks, wood (e

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Short-Term Audio-Visual Atoms for Generic Video Concept Classification  

E-Print Network (OSTI)

Short-Term Audio-Visual Atoms for Generic Video Concept Classification Wei Jiang1 Courtenay Cotton1 the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept de- tection. We propose to extract a novel representation, the Short-term Audio-Visual Atom (S-AVA), for improved

Ellis, Dan

382

Multi-class Biomedical Term Recognition and Classification Using Search Raul Rodriguez-Esteban  

E-Print Network (OSTI)

Multi-class Biomedical Term Recognition and Classification Using Search Engines Raul Rodriguez-Esteban Columbia University, USA Abstract: The talk will have two parts: (1) Automatic curation of biomedical text mined data. Biomedical text mined data has a degree of quality sometimes unsuitable for real

Baeza-Yates, Ricardo

383

Technical report TR2011-11-23, 2011, HCI Lab, Texas State University Automated Classification and Scoring of Smooth Pursuit Eye Movements  

E-Print Network (OSTI)

.4 [Simulation and Modeling]: Model Valida- tion and Analysis; J.7 [Computers in Other Systems]: Process controlTechnical report TR2011-11-23, 2011, HCI Lab, Texas State University 1 Automated Classification ternary classification. To aid the purpose of meaningful automated ternary classification a set

Oleg, Komogortsev - Department of Computer Science, Texas State University

384

GeoT User's Guide: A Computer Program for Multicomponent Geothermometry and Geochemical Speciation, Version 1.4  

E-Print Network (OSTI)

Variable: Format: NAME_S ICON TRIAL_C A I F INPUT_C F NAME_+ and H 2 O), in any order ICON: flag to specify the meaningactual species. For pH, use ICON=3 and input 10 pH . The

Sonnenthal, N. Spycher, N., L. Peiffer, and E.

2014-01-01T23:59:59.000Z

385

Using Process Knowledge to Manage Disposal Classification of Ion-Exchange Resin - 13566  

SciTech Connect

It has been previously shown by EPRI [1] that Class B and C resins represent a small portion by volume of the overall generation of radioactively contaminated resins. In fact, if all of the resins were taken together the overall classification would meet Class A disposal requirements. Lowering the classification of the ion exchange resins as they are presented for disposal provides a path for minimizing the amount of waste stored. Currently there are commercial options for blending wastes from various generators for Class A disposal in development. The NRC may have by this time introduced changes and clarifications to the Branch Technical Position (BTP) on Concentration Averaging and Encapsulation [2] that may ultimately add more flexibility to what can be done at the plant level. The BTP has always maintained that mixtures of resins that are combined for ALARA purposes or operational efficiency can be classified on the basis of the mixture. This is a point often misinterpreted and misapplied. This paper will address options that can be exercised by the generator that can limit B and C waste generation by more rigorous tracking of generation and taking advantage of the normal mix of wastes. This can be achieved through the monitoring of reactor coolant chemistry data and coupled with our knowledge of radionuclide production mechanisms. This knowledge can be used to determine the overall accumulation of activity in ion-exchange resins and provides a 'real-time' waste classification determination of the resin and thereby provide a mechanism to reduce the production of waste that exceeds class A limits. It should be noted that this alternative approach, although rarely used in a nuclear power plant setting, is acknowledged in the original BTP on classification [3] as a viable option for determining radionuclide inventories for classification of waste. Also included is a discussion of an examination performed at the Byron plant to estimate radionuclide content in the final waste stream from upstream sampling of reactor coolant and fuel pool water. (authors)

Bohnsack, Jonathan N.; James, David W. [DW James Consulting, LLC 855 Village Center Drive No. 330 North Oaks, MN 55127 (United States)] [DW James Consulting, LLC 855 Village Center Drive No. 330 North Oaks, MN 55127 (United States)

2013-07-01T23:59:59.000Z

386

Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers  

Science Journals Connector (OSTI)

We address the important bioinformatics problem of predicting protein function from a protein's primary sequence. We consider the functional classification of G-Protein-Coupled Receptors (GPCRs), whose functions are specified in a class hierarchy. We tackle this task using a novel top-down hierarchical classification system where, for each node in the class hierarchy, the predictor attributes to be used in that node and the classifier to be applied to the selected attributes are chosen in a data-driven manner. Compared with a previous hierarchical classification system selecting classifiers only, our new system significantly reduced processing time without significantly sacrificing predictive accuracy.

A. Secker; M.N. Davies; A.A. Freitas; E.B. Clark; J. Timmis; D.R. Flower

2010-01-01T23:59:59.000Z

387

Classification of "Quaternionic" Bloch-bundles: Topological Insulators of type AII  

E-Print Network (OSTI)

We provide a classification of type AII topological insulators in dimension d=1,2,3,4. Our analysis is based on the construction of a topological invariant, the FKMM-invariant, which completely classifies "Quaternionic" vector bundles (a.k.a. "symplectic" vector bundles) in dimension d<4. This invariant takes value in a proper equivariant cohomology theory and, in the case of examples of physical interest, it reproduces the familiar Fu-Kane-Mele index. In the case d=4 the classification requires a combined use of the FKMM-invariant and the second Chern class. Among the other things, we prove that the FKMM-invariant is a bona fide characteristic class for the category of "Quaternionic" vector bundles in the sense that it can be realized as the pullback of a universal topological invariant.

Giuseppe De Nittis; Kiyonori Gomi

2014-04-23T23:59:59.000Z

388

Classification of heart valve single leg separations from acoustic clinical measurements  

SciTech Connect

Our system classifies the condition (intact or single leg separated) of in vivo Bjork-Shiley Convexo-Concave (BSCC) heart valves by processing acoustic measurements of clinical heart valve opening sounds. We use spectral features as inputs to a two-stage classifier, which first classifies individual heart beats, then classifies valves. Performance is measured by probability of detection and probability of false alarm, and by confidence intervals on the probability of correct classification. The novelty of the work lies in the application of advanced techniques to real heart valve data, and extensions of published algorithms that enhance their applicability. We show that even when given a very small number of training samples, the classifier can achieve a probability of correct classification of 100%.

Clark, G.A.; Bowman, B.C.; Boruta, N.; Thomas, G.H.; Jones, H.E.; Buhl, M.R.

1994-05-01T23:59:59.000Z

389

Feature extraction and classification for detecting the thermal faults in electrical installations  

Science Journals Connector (OSTI)

Abstract This paper proposed an effort to investigate the suitability of input features and classifier for identifying thermal faults within electrical installations. The features are extracted from the thermal images of electrical equipment and classified using a multilayered perceptron (MLP) artificial neural network and support vector machine (SVM). In the experiments, the classification performances from various input features are evaluated. The commonly used classification performance indices, including sensitivity, specificity, accuracy, area under curve (AUC), receiver operating characteristic (ROC) and F-score are employed to identify the most suitable input feature as well as the best configuration of classifiers. The experimental results demonstrate that the combination of features set Tmax, Tdelta and \\{DTbg\\} produce the best input feature for thermal fault detection. In addition, the implementation of SVM using radial basis kernel function (RBF) produces slightly better performance than the MLP artificial neural network.

Mohd Shawal Jadin; Soib Taib; Kamarul Hawari Ghazali

2014-01-01T23:59:59.000Z

390

Near-Infrared Classification Spectroscopy: H-band Spectra of Fundamental MK Standards  

E-Print Network (OSTI)

We present a catalogue of H-band spectra for 85 stars of approximately solar abundance observed at a resolving power of 3000 with the KPNO Mayall 4m FTS. The atlas covers spectral types O7-M5 and luminosity classes I-V as defined on the MK system. We identify both atomic and molecular indices and line-ratios which are temperature and luminosity sensitive allowing spectral classification to be carried out in the H-band. The line ratios permit spectral classification in the presence of continuum excess emission, which is commonly found in pre-main sequence and evolved stars. We demonstrate that with spectra of R = 1000 obtained at SNR > 50 it is possible to derive spectral types within +- 2 subclasses for late-type stars. These data are available electronically through the Astronomical Data Center in addition to being served on the World-Wide-Web.

Michael R. Meyer; Suzan Edwards; Kenneth H. Hinkle; Stephen E. Strom

1998-08-19T23:59:59.000Z

391

DOE Publishes Petition of CSA Group for Classification as a Nationally Recognized Certification Program for Small Electric Motors  

Energy.gov (U.S. Department of Energy (DOE))

The Department of Energy has published a Federal Register notice of petition and request for public comments regarding CSA Group for classification as a nationally recognized certification program for small electric motors.

392

Alexander Geyken and Jordan Boyd-Graber. Automatic classification of multi-word expressions in print dictionaries. Linguisticae Investigationes, 2003.  

E-Print Network (OSTI)

Alexander Geyken and Jordan Boyd-Graber. Automatic classification of multi-word expressions in print dictionaries. Linguisticae Investigationes, 2003. @article{Geyken:Boyd-Graber-2003, Author = {Alexander Geyken and Jordan Boyd-Graber}, Journal = {Linguisticae Investigationes}, Title = {Automatic

Boyd-Graber, Jordan

393

THE CLASSIFICATION OF DEHN FILLINGS ON THE OUTER TORUS OF A 1-BRIDGE BRAID  

E-Print Network (OSTI)

THE CLASSIFICATION OF DEHN FILLINGS ON THE OUTER TORUS OF A 1-BRIDGE BRAID EXTERIOR WHICH PRODUCE SOLID TORI Ying-Qing Wu1 Abstract. Let K = K(w, b, t) be a 1-bridge braid in a solid torus V , and let for such Dehn fillings. 1. Introduction A knot K in a 3-manifold M is a 0-bridge knot if it is isotopic

Wu, Ying-Qing

394

The phylogeny and classification of the Gronotoma group s.l. of genera (Hymenoptera: Figitidae: Eucoilinae)  

E-Print Network (OSTI)

) and Lawrence Mound (from the Natural History Museum). Little did I know how important that female specimen of Ganaspidiam pusillae Weld would be in the construction of this thesis. Ironically, it was on this same trip that I realized a future studying.... Only two major bodies of work have attempted to classify all of the eucoiline genera (Dalla Torre and Kieffer, 1910; Weld, 1952), and for the most part, eucoiline classification schemes have resulted in a great deal of chaos (discussed in Nordlander...

Buffington, Matthew Louis

2000-01-01T23:59:59.000Z

395

Classification of electromagnetic resonances in finite inhomogeneous three-dimensional structures  

E-Print Network (OSTI)

We present a simple and unified classification of macroscopic electromagnetic resonances in finite arbitrarily inhomogeneous isotropic dielectric 3D structures situated in free space. By observing the complex-plane dynamics of the spatial spectrum of the volume integral operator as a function of angular frequency and constitutive parameters we identify and generalize all the usual resonances, including complex plasmons, real laser resonances in media with gain, and real quasi-static resonances in media with negative permittivity and gain.

Budko, N V; Budko, Neil V.; Samokhin, Alexander B.

2005-01-01T23:59:59.000Z

396

Fusion de classifieurs pour la classification d'images sonar Arnaud MARTIN  

E-Print Network (OSTI)

Fusion de classifieurs pour la classification d'images sonar Arnaud MARTIN ENSIETA / E3 I2 , EA3876´esum´e. Nous pr´esentons dans ce papier des approches de fusion d'informa- tions haut niveau applicables pour approches particuli`erement pour la fusion de classifieurs. Une ´etude comparative est pr´esent´ee dans le

397

Groenewold-Moyal product, ?*-cohomology, and classification of translation-invariant non-commutative structures  

SciTech Connect

The theory of ?*-cohomology is studied thoroughly and it is shown that in each cohomology class there exists a unique 2-cocycle, the harmonic form, which generates a particular Groenewold-Moyal star product. This leads to an algebraic classification of translation-invariant non-commutative structures and shows that any general translation-invariant non-commutative quantum field theory is physically equivalent to a Groenewold-Moyal non-commutative quantum field theory.

Varshovi, Amir Abbass [School of Mathematics, Institute for Research in Fundamental Sciences (IPM) and School of Physics, Institute for Research in Fundamental Sciences (IPM), Tehran (Iran, Islamic Republic of)] [School of Mathematics, Institute for Research in Fundamental Sciences (IPM) and School of Physics, Institute for Research in Fundamental Sciences (IPM), Tehran (Iran, Islamic Republic of)

2013-07-15T23:59:59.000Z

398

Real-time processing of remote sensor data as applied to Arctic ice classification  

E-Print Network (OSTI)

as an earth observations system [4]; remote sensor measurements (radar measurements) from an environmental situation (the Arctic surface) are processed and analyzed at a real-time rate to yield a usable output data product (ice statistics) which in turn...REAL-TIME PROCESSING OF REMOTE SENSOR DATA AS APPLIED TO ARCTIC ICE CLASSIFICATION A Thesis by JAMES AUSTIN PERMENTER partial ! Submitted to the Graduate College of Texas A)M University in fulfillment of the requirement for the degree...

Permenter, James Austin

1973-01-01T23:59:59.000Z

399

The development of a signal processing network for a real-time Arctic sea ice classification system  

E-Print Network (OSTI)

THE DEVELOPMENT OF A SIGNAL PROCESSING NETWORK FOR A REAL-TIME ARCTIC SEA ICE CLASSIFICATION SYSTEM A Thesis by WILLIAM DOUGLAS NORDHAUS Submitted to the Graduate College of Texas A)M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE August 1973 Major Subject: Electrical Engineering THE DEVELOPMENT OF A SIGNAL PROCESSING NETWORK FOR A REAL-TIME ARCTIC SEA ICE CLASSIFICATION SYSTEM A Thesis by William Douglas Nordhaus Approved as to style...

Nordhaus, William D

1973-01-01T23:59:59.000Z

400

Classification of sags gathered in distribution substations based on multiway principal component analysis  

Science Journals Connector (OSTI)

Voltage sags, whether they occur in transmission or distribution systems, may severely damage the loads connected to the power system. As these problems could cost a great deal financially, electric utilities are very interested in finding the origins of sags, that is, whether they have been originated in the transmission network (high voltage (HV)) or in the distribution system (medium voltage (MV)). In addition to the needs of utilities and regulators, many researchers have been prompted to develop reliable methods to properly classify sags. Several of these methods, based on classifying meaningful features extracted from data and waveforms, have been proposed in the literature. Unlike those methods, though, we propose a systematic transformation of data, based on multiway principal component analysis (MPCA), to develop a new voltage sag classification procedure. Sampled voltage and current waveforms of previously registered sags are used together with the MPCA technique to obtain a lower dimensional model. This model is then used to project new sags and classify them according to their origin in the power system. Different classification criteria and parameters are examined to maximize the classification rates of not yet seen sags. Applying the proposed method to real sags recorded in substations demonstrates its applicability and power.

Abbas Khosravi; Joaquim Melndez; Joan Colomer

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Context-based automated defect classification system using multiple morphological masks  

DOE Patents (OSTI)

Automatic detection of defects during the fabrication of semiconductor wafers is largely automated, but the classification of those defects is still performed manually by technicians. This invention includes novel digital image analysis techniques that generate unique feature vector descriptions of semiconductor defects as well as classifiers that use these descriptions to automatically categorize the defects into one of a set of pre-defined classes. Feature extraction techniques based on multiple-focus images, multiple-defect mask images, and segmented semiconductor wafer images are used to create unique feature-based descriptions of the semiconductor defects. These feature-based defect descriptions are subsequently classified by a defect classifier into categories that depend on defect characteristics and defect contextual information, that is, the semiconductor process layer(s) with which the defect comes in contact. At the heart of the system is a knowledge database that stores and distributes historical semiconductor wafer and defect data to guide the feature extraction and classification processes. In summary, this invention takes as its input a set of images containing semiconductor defect information, and generates as its output a classification for the defect that describes not only the defect itself, but also the location of that defect with respect to the semiconductor process layers.

Gleason, Shaun S. (Knoxville, TN); Hunt, Martin A. (Knoxville, TN); Sari-Sarraf, Hamed (Lubbock, TX)

2002-01-01T23:59:59.000Z

402

Recursive Partitioning Analysis for New Classification of Patients With Esophageal Cancer Treated by Chemoradiotherapy  

SciTech Connect

Background: The 7th edition of the American Joint Committee on Cancer staging system does not include lymph node size in the guidelines for staging patients with esophageal cancer. The objectives of this study were to determine the prognostic impact of the maximum metastatic lymph node diameter (ND) on survival and to develop and validate a new staging system for patients with esophageal squamous cell cancer who were treated with definitive chemoradiotherapy (CRT). Methods: Information on 402 patients with esophageal cancer undergoing CRT at two institutions was reviewed. Univariate and multivariate analyses of data from one institution were used to assess the impact of clinical factors on survival, and recursive partitioning analysis was performed to develop the new staging classification. To assess its clinical utility, the new classification was validated using data from the second institution. Results: By multivariate analysis, gender, T, N, and ND stages were independently and significantly associated with survival (p < 0.05). The resulting new staging classification was based on the T and ND. The four new stages led to good separation of survival curves in both the developmental and validation datasets (p < 0.05). Conclusions: Our results showed that lymph node size is a strong independent prognostic factor and that the new staging system, which incorporated lymph node size, provided good prognostic power, and discriminated effectively for patients with esophageal cancer undergoing CRT.

Nomura, Motoo, E-mail: excell@hkg.odn.ne.jp [Department of Radiology, Kansai Medical University, Hirakata (Japan) [Department of Radiology, Kansai Medical University, Hirakata (Japan); Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Shitara, Kohei [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Kodaira, Takeshi [Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Kondoh, Chihiro; Takahari, Daisuke; Ura, Takashi [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Kojima, Hiroyuki; Kamata, Minoru [Department of Radiology, Kansai Medical University, Hirakata (Japan)] [Department of Radiology, Kansai Medical University, Hirakata (Japan); Muro, Kei [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Sawada, Satoshi [Department of Radiology, Kansai Medical University, Hirakata (Japan)] [Department of Radiology, Kansai Medical University, Hirakata (Japan)

2012-11-01T23:59:59.000Z

403

Feature extraction and classification of load dynamic characteristics based on lifting wavelet packet transform in power system load modeling  

Science Journals Connector (OSTI)

Abstract Load dynamic characteristics classification and synthesis is the main approach to solve the problem of load time-variation. The basis and prerequisite of load dynamic characteristics classification is load dynamic characteristics feature extraction. Load model parameter space or the model response space gained by a standard voltage excitation is usually selected as the feature vector space in current practice of load dynamic characteristics feature extraction. However, both methods need to determine the load model structure and identify the model parameters. It would increase not only calculation error but also calculation time in the process of load model structure determination and parameter identification. Then the accuracy of the final classification results would be affected. It is reasonable and scientific to extract feature vector space of load dynamic characteristics directly from the measured response space. In this paper, a feature extraction method based on lifting wavelet packet transform is proposed for load dynamic characteristics classification. The load measured current response data is decomposed and reconstructed, then the wavelet packet coefficients can be extracted to construct energy moment based feature vector. On this basis, the load dynamic characteristics classification can be realized using fuzzy c-means (FCM) method. Finally, the validity and practicality of the proposed method have been proved by feature extraction and classification of dynamic simulation data acquired using Matlab/Simulink and field measurement data. Compared with traditional wavelet packet transform, the lifting wavelet packet transform has shown advantages both in computational speed and reconstruction error and can improve the accuracy of load dynamic characteristics classification.

Zhenshu Wang; Shaorun Bian; Ming Lei; Chuangang Zhao; Yan Liu; Zhifan Zhao

2014-01-01T23:59:59.000Z

404

The quantum bit commitment: a finite open system approach for a complete classification of protocols  

E-Print Network (OSTI)

Mayers, Lo and Chau argued that all quantum bit commitment protocols are insecure, because there is no way to prevent an Einstein-Podolsky-Rosen (EPR) cheating attack. However, Yuen presented some protocols which challenged the previous impossibility argument. Up to now, it is still debated whether there exist or not unconditionally secure protocols. In this paper the above controversy is addressed. For such purpose, a complete classification of all possible bit commitment protocols is given, including all possible cheating attacks. Focusing on the simplest class of protocols (non-aborting and with complete and perfect verification), it is shown how naturally a game-theoretical situation arises. For these protocols, bounds for the cheating probabilities are derived, involving the two quantum operations encoding the bit values and their respective alternate Kraus decompositions. Such bounds are different from those given in the impossibility proof. The whole classification and analysis has been carried out using a "finite open system" approach. The discrepancy with the impossibility proof is explained on the basis of the implicit adoption of a "closed system approach"--equivalent to modeling the commitment as performed by two fixed machines interacting unitarily in a overall "closed system"--according to which it is possible to assume as "openly known" both the initial state and the probability distributions for all secret parameters, which can be then "purified". This approach is also motivated by existence of unitary extensions for any open system. However, it is shown that the closed system approach for the classification of commitment protocols unavoidably leads to infinite dimensions, which then invalidate the continuity argument at the basis of the impossibility proof.

Giacomo Mauro D'Ariano

2002-09-26T23:59:59.000Z

405

Processing of prosthetic heart valve sounds for single leg separation classification  

SciTech Connect

Efforts are concentrated on the sounds corresponding to the heart valve opening cycle. Valve opening and closing acoustics present additional information about the outlet strut condition---the structural component implicated in valve failure. The importance of the opening sound for single leg separation detection/classification is based on the fact that as the valve opens, the disk passively hits the outlet strut. The opening sounds thus yield direct information about outlet strut condition with minimal amount of disturbance caused by the energy radiated from the disk. Hence the opening sound is a very desirable acoustic signal to extract. Unfortunately, the opening sounds have much lower signal levels relative to the closing sounds and therefore noise plays a more significant role than during the closing event. Because of this it is necessary to screen the sounds for outliers in order to insure a high sensitivity of classification. Because of the sharp resonances appearing in the corresponding spectrum, a parametric processing approach is developed based on an autoregressive model which was selected to characterize the sounds emitted by the Bjork--Shiley convexo--concave (BSCC) valve during opening cycle. First the basic signals and the extraction process used to create an ensemble of heart valve sounds are briefly discussed. Next, a {ital beat} {ital monitor} capable of rejecting beats that fail to meet an acceptance criteria based on their spectral content is developed. Various approaches that have been utilized to enhance the screened data and produce a reliable {ital heart} {ital valve} {ital spectrogram} which displays the individual sounds (power) as a function of beat number and temporal frequency are discussed. Once estimated, the spectrogram and associated parameters are used to develop features supplied to the various classification schemes. Finally, future work aimed at even further signal enhancement and improved classifier performance is discussed.

Candy, J.V.; Jones, H.E. [University of California, Lawrence Livermore National Laboratory, P.O. Box 808, L-495, Livermore, California 94550 (United States)

1995-06-01T23:59:59.000Z

406

Classification of heart valve sounds from experiments in an anechoic water tank  

SciTech Connect

In vivo studies in both sheep and humans were plagued by a number of problems including movement artifacts, biological noise, low signal-to-noise ratio (SNR), chest-wall reverberation, and limited bandwidth recordings as discussed by [1]. To overcome these problems it was decided to record heart valve sounds under controlled conditions deep in an anechoic water tank, free from reverberation noise. The main goal of this experiment was to obtain measurements of ''pure'' heart valve sounds free of the scattering effects of the body. Experiments were conducted at the Transdec facility in San Diego [2]. We used a high quality hydrophone together with a wide-band data acquisition system [2]. We recorded sounds from 100 repetitions of the opening-closing cycles on each of 50 different heart valves, including 21 SLS valves and 29 intact valves. The power spectrum of the opening and closing phases of each cycle were calculated and outlier spectra removed as described by Candy [2]. In this report, we discuss the results of our classification of the heart valve sound measurements. The goal of this classification task was to apply the fundamental classification algorithms developed for the clinical data in 1994 and 1996 to the measurements from the anechoic water tank. From the beginning of this project, LLNL's responsibility has been to process and classify the heart valve sounds. For this experiment, however, we processed both the opening sounds and closing sounds for comparison purposes. The results of this experiment show that the classifier did not perform well because of low signal-to-noise ratio and excessive variability in signal power from beat-to-beat for a given valve.

Axelrod, M C; Clark, G A; Scott, D

1999-06-01T23:59:59.000Z

407

Classification of heart valve sounds from experiments in an anechoic water tank  

SciTech Connect

In vivo studies in both sheep and humans were plagued by a number of problems including movement artifacts, biological noise, low signal-to-noise ratio (SNR), chest-wall reverberation, and limited bandwidth recordings as discussed by [1]. To overcome these problems it was decided to record heart valve sounds under controlled conditions deep in an anechoic water tank, free from reverberation noise, including surface reflections. Experiments were conducted in a deep water tank at the Transdec facility in San Diego, which satisfies these requirements. The Transdec measurements are free of reverberations, but not totally free of acoustic and electrical noise. We used a high quality hydrophone together with a wide-band data acquisition system [2]. We recorded sounds from 100 repetitions of the opening-closing cycles on each of 50 different heart valves, including 21 SLS valves and 29 intact valves. The power spectrum of the opening and closing phases of each cycle were calculated and outlier spectra removed as described by Candy [2]. In this report, we discuss the results of our classification of the heart valve sound measurements. The goal of this classification task was to apply the fundamental classification algorithms developed for the clinical data in 1994 and 1996 to the measurements from the anechoic water tank. From the beginning of this project, LLNL's responsibility has been to process and classify the heart valve opening sounds. For this experiment, however, we processed both the opening sounds and closing sounds for comparison purposes. The results of this experiment show that the classifier did not perform well. We believe this is because of low signal-to-noise ratio and excessive variability in signal power from beat-to-beat for a given valve.

Axelrod, M C; Clark, G A; Scott, D

1999-06-01T23:59:59.000Z

408

The ESO Nearby Abell Cluster Survey VIII. Morphological and spectral classification of galaxies  

E-Print Network (OSTI)

We have determined the morphological types of 2295 galaxies from the ESO Nearby Abell Cluster Survey (ENACS) from CCD images made with the Dutch telescope on La Silla. The reliability of our classification appears to be quite comparable to that of other classifiers. Recalibration of the ENACS spectral classification shows that early- and late- type galaxies can be distinguished from their spectra with 83% reliability. Ellipticals and S0 galaxies cannot be distinguished spectrally, while spectral classification of late spirals has a reliability of 70%. We derive average pseudo-colors and linestrengths from the ENACS spectra for the galaxies of different morphological types, considering bright (M -20) subsets of the galaxies without emission lines (non-ELG) separately. We find a strong and significant correlation between the average color and the average strength of the metal absorption lines. The average metallicity decreases and the average color gets bluer towards later Hubble type. In each morphological class the faint galaxies are bluer and less metal-rich than the bright ones. This extends the well-established color-magnitude relation of early-type galaxies to (late) spirals. Bright early spirals may, on average, have somewhat stronger H-delta absorption than the other galaxies, which could be due to recent starformation. The galaxies with emission lines (ELG) have a bluer spectral continuum than the non-ELG, and the amount of blueing hardly depends on morphological type. The fraction of ELG depends strongly on morphological type but it varies very little with projected distance from the cluster center.

T. Thomas; P. Katgert

2005-10-10T23:59:59.000Z

409

Principal Component Analysis of X-ray Diffraction Patterns To Yield Morphological Classification of Brucite Particles  

Science Journals Connector (OSTI)

Principal Component Analysis of X-ray Diffraction Patterns To Yield Morphological Classification of Brucite Particles ... Finally, a comparison of the scanning electron microscopy images of the samples classified in each group revealed that in most of the cases a distinct morphology predominates within each group, which can be explained on the basis of the brucite growth mechanism. ... The increasing interest in the application of brucite (crystalline Mg(OH)2) as a flame retardant filler in polymer formulations is motivated by advantages of this material over halogenated flame retardants, which include environmental and health compatibility. ...

Charlene R. S. Matos; Maria Jos Xavier; Ledjane S. Barreto; Nivan B. Costa, Jr.; Iara F. Gimenez

2007-01-09T23:59:59.000Z

410

Range criterion and classification of true entanglement in $2\\times{M}\\times{N}$ system  

E-Print Network (OSTI)

We propose a range criterion which is a sufficient and necessary condition satisfied by two pure states transformable with each other under reversible stochastic local operations assisted with classical communication. We also provide a systematic method for seeking all kinds of true entangled states in the $2\\times{M}\\times{N}$ system, and can effectively distinguish them by means of the range criterion. The efficiency of the criterion and the method is exhibited by the classification of true entanglement in some types of the tripartite systems.

Lin Chen; Yi-Xin Chen

2005-06-18T23:59:59.000Z

411

Tight bounds on the size of neural networks for classification problems  

SciTech Connect

This paper relies on the entropy of a data-set (i.e., number-of-bits) to prove tight bounds on the size of neural networks solving a classification problem. First, based on a sequence of geometrical steps, the authors constructively compute an upper bound of O(mn) on the number-of-bits for a given data-set - here m is the number of examples and n is the number of dimensions (i.e., R{sup n}). This result is used further in a nonconstructive way to bound the size of neural networks which correctly classify that data-set.

Beiu, V. [Los Alamos National Lab., NM (United States); Pauw, T. de [Universite Catholique de Louvain, Louvain-la-Neuve (Belgium). Dept. de Mathematique

1997-06-01T23:59:59.000Z

412

office classification  

Science Journals Connector (OSTI)

This one-of-a-kind reference is unmatched in the breadth and scope of its coverage and serves as the primary reference for students and professionals in computer science and communications. The Dictionary feat...

2001-01-01T23:59:59.000Z

413

Classification Scheme  

E-Print Network (OSTI)

Applications - OR and Management Sciences ... Applications - Science and Engineering. Basic Sciences ... Theory; Applications; Stochastic Approaches; Other.

414

Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code 0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 40. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 NAICS Code June 30, 2013 March 31, 2013 June 30, 2012 Percent Change (June 30) 2013 versus 2012 311 Food Manufacturing 875 926 1,015 -13.9 312 Beverage and Tobacco Product Mfg. 26 17 19 35.8 313 Textile Mills 22 22 25 -13.9 315 Apparel Manufacturing w w w w 321 Wood Product Manufacturing w w w w 322 Paper Manufacturing 570 583

415

Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 35. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 2,256 2,561 1,864 4,817 4,343 10.9 312 Beverage and Tobacco Product Mfg. 38 50 48 88 95 -7.7 313 Textile Mills 31 29 21 60 59 2.2 315 Apparel Manufacturing w w w w w w 321 Wood Product Manufacturing w w w

416

Zeeman Effect Data and Preliminary Classification of the Spark Spectrum of PraseodymiumPr II  

Science Journals Connector (OSTI)

The Zeeman effect of praseodvmium has been studied at fields up to 95,000 oersteds over the range 2400 to 7100A. g and J values have been determined for 74 Pr II levels from resolved Zeeman patterns of 141 lines. With these data, together with new wave-length data from the M.I.T.-W.P.A. Wavelength Project which have been applied to the spectroscopic interval sorter and interval recorder, a quadratic term array has been set up which accounts for 312 lines. This array is consistent with King's temperature classification of the lines and with all previous hyperfine structure observations. It is self-consistent in g values to an average deviation of 0.005 unit, and in wave numbers to an average deviation of 0.08 cm-1. Previously published hyperfine structure measurements were found insufficiently precise to aid the classification, but were of value in its verification. The lowest term of Pr II is found to be f3(Io4)s-Io45. Most of the strong lines showing hyperfine structure arise from the f3s configuration.

Nathan Rosen; George R. Harrison; J. Rand McNally; Jr.

1941-11-15T23:59:59.000Z

417

Classification of urban historic areas through multi?sensorial perception and expectation.  

Science Journals Connector (OSTI)

The historic areas of cities are often under renewal processes. Although the general aims are to increase tourist attraction to protect and restore the cultural heritage and to improve quality of life for the local citizens the renewal processes are generally based on architectural and design projects that privilege the visual perception. This approach does not take into account that the perception and enjoyment of the atmosphere in a historic area is a mix of phenomena that should be considered and citizens and tourists perceive these phenomena in a dynamic way (e.g. walking along streets crossing squares) and from different points of view. A new approach for the classification of urban historic areas is proposed. The classification is based on two emotional dimensions (calmness and vibrancy) determined by the variations of environmental parameters such as sound quality and light and aesthetical parameters such as spatiality and urban degradation. Relationships between perceived soundscape and other parameters are under investigation on the basis of the data collected by interviews. A new approach to draw maps dealing with subjective perception and expectation is proposed in the view to be a tool for the urban renewal decisions and more effective and sustainable projects.

Luigi Maffei; Maria Di Gabriele; Giovanni Brambilla; Patrizio Verardi

2010-01-01T23:59:59.000Z

418

Critical Protection Item classification for a waste processing facility at Savannah River Site  

SciTech Connect

This paper describes the methodology for Critical Protection Item (CPI) classification and its application to the Structures, Systems and Components (SSC) of a waste processing facility at the Savannah River Site (SRS). The WSRC methodology for CPI classification includes the evaluation of the radiological and non-radiological consequences resulting from postulated accidents at the waste processing facility and comparison of these consequences with allowable limits. The types of accidents considered include explosions and fire in the facility and postulated accidents due to natural phenomena, including earthquakes, tornadoes, and high velocity straight winds. The radiological analysis results indicate that CPIs are not required at the waste processing facility to mitigate the consequences of radiological release. The non-radiological analysis, however, shows that the Waste Storage Tank (WST) and the dike spill containment structures around the formic acid tanks in the cold chemical feed area and waste treatment area of the facility should be identified as CPIs. Accident mitigation options are provided and discussed.

Ades, M.J. [Westinghouse Savannah River Co., Aiken, SC (United States); Garrett, R.J. [ABB Government Services, Aiken, SC (United States)

1993-10-01T23:59:59.000Z

419

Analysis of Quantum Particle Automata for Solving the Density Classification Problem  

E-Print Network (OSTI)

To advance our understanding of Quantum Cellular Automata in problem solving through parallel and distributed computing, this research quantized the density classification problem and adopted the Quantum Particle Automata (QPA) to solve the quantized problem. In order to solve this problem, the QPA needed a unitary operator to carry out the QPA evolution and a boundary partition to make the classification decisions. We designed a Genetic Algorithm (GA) to search for the unitary operators and the boundary partitions to classify the density of binary inputs with length 5. The GA was able to find more than one unitary operator that can transform the QPA in ways such that when the particle was measured, it was more likely to collapse to the basis states that were on the correct side of the boundary partition for the QPA to decide if the binary input had majority density 0 or majority density 1. We analyzed these solutions and found that the QPA evolution dynamic was driven by a particular parameter $\\theta$ of the unitary operator: a small $\\theta$ gave the particle small mass hence fast evolution while large $\\theta$ had the opposite effect. While these results are encouraging, scaling these solutions for binary inputs of arbitrary length of $n$ requires additional analysis, which we will investigate in our future work.

Tina Yu; Radel Ben-Av

2015-01-16T23:59:59.000Z

420

Hazard Classification of the Remote Handled Low-Level Waste Disposal Facility  

SciTech Connect

The Battelle Energy Alliance (BEA) at the Idaho National Laboratory (INL) is constructing a new facility to replace remote-handled low-level radioactive waste disposal capability for INL and Naval Reactors Facility operations. Current disposal capability at the Radioactive Waste Management Complex (RWMC) will continue until the facility is full or closed for remediation (estimated at approximately fiscal year 2015). Development of a new onsite disposal facility is the highest ranked alternative and will provide RH-LLW disposal capability and will ensure continuity of operations that generate RH-LLW for the foreseeable future. As a part of establishing a safety basis for facility operations, the facility will be categorized according to DOE-STD-1027-92. This classification is important in determining the scope of analyses performed in the safety basis and will also dictate operational requirements of the completed facility. This paper discusses the issues affecting hazard classification in this nuclear facility and impacts of the final hazard categorization.

Boyd D. Christensen

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

Nanomaterial Applications Range From Eyeliner to Turbines | GE...  

NLE Websites -- All DOE Office Websites (Extended Search)

email. Subscribe to all future posts Who Suchismita Sanyal What Materials Micro- & Nanotechnology Where Bangalore, India Why Building Subscribe You Might Also Like...

422

ORNL researchers develop 'Autotune' software to make it quicker...  

NLE Websites -- All DOE Office Websites (Extended Search)

efficiency, if widely implemented, could significantly impact energy and environmental sustainability at local to national scales. ORNL buildings researchers Sanyal and...

423

Microsoft Word - Lippman-Dobson-Special Report #20 - Final Changes10...  

Office of Scientific and Technical Information (OSTI)

Hodgson Ali Khan Jim Lovekin Ernie Majer Mike Rodgers Marilyn Sanborn Subir Sanyal Bill Smith Mitch Stark Gene Suemnicht Alfred Truesdell Karl Urbank Mark Walters Robert Young We...

424

Rock Sampling At Socorro Mountain Area (Armstrong, Et Al., 1995) | Open  

Open Energy Info (EERE)

Armstrong, Et Al., 1995) Armstrong, Et Al., 1995) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Rock Sampling At Socorro Mountain Area (Armstrong, Et Al., 1995) Exploration Activity Details Location Socorro Mountain Area Exploration Technique Rock Sampling Activity Date Usefulness not indicated DOE-funding Unknown Notes Corresponding Socorro caldera Carboniferous rocks were studied in the field in 1988-1992-Renault later completed geochemistry and silica-crystallite geothermometry, Armstrong petrographic analysis and cathodoluminescence, Oscarson SEM studies, and John Repetski (USGS, Reston, Virgina) conodont stratigraphy and color and textural alteration as guides to the carbonate rocks' thermal history. The carbonate-rock classification used in this

425

Multi-class Fruit Classification using RGB-D Data for Indoor Robots Lixing Jiang, Artur Koch, Sebastian A. Scherer and Andreas Zell  

E-Print Network (OSTI)

Multi-class Fruit Classification using RGB-D Data for Indoor Robots Lixing Jiang, Artur Koch to classify fruits under varying pose and lighting conditions tailored for an object recognition system information for the classification task. The unified approach is validated using two multi-class RGB-D fruit

Zell, Andreas

426

PREPRINT FOR AN OVERVIEW ON PERCEPTUALLY MOTIVATED AUDIO INDEXING AND CLASSIFICATION, PROC. OF THE IEEE, 2013 1 An overview on Perceptually Motivated Audio  

E-Print Network (OSTI)

PREPRINT FOR AN OVERVIEW ON PERCEPTUALLY MOTIVATED AUDIO INDEXING AND CLASSIFICATION, PROC. OF THE IEEE, 2013 1 An overview on Perceptually Motivated Audio Indexing and Classification Ga¨el Richard An audio indexing system aims at describing audio content by identifying, labeling or categorizing

Richard, Gaël

427

Measurement and Classification of Humans and Bots in Internet Chat Steven Gianvecchio, Mengjun Xie, Zhenyu Wu, and Haining Wang  

E-Print Network (OSTI)

Measurement and Classification of Humans and Bots in Internet Chat Steven Gianvecchio, Mengjun Xie, adamwu, hnw}@cs.wm.edu Abstract The abuse of chat services by automated programs, known as chat bots, poses a serious threat to Internet users. Chat bots target popular chat networks to dis- tribute spam

Wang, Haining

428

Group classification and exact solutions of nonlinear wave equations State Pedagogical University, 2 Ostrogradskogo Street, 36000 Poltava, Ukraine  

E-Print Network (OSTI)

University, 2 Ostrogradskogo Street, 36000 Poltava, Ukraine R. Zhdanov Institute of Mathematics of NAS of Ukraine, 3 Tereshchenkivska Street, 01601 Kyiv, Ukraine O. Magda Institute of Mathematics of NAS of Ukraine, 3 Tereshchenkivska Street, 01601 Kyiv, Ukraine Abstract We perform complete group classification

Zhdanov, Renat

429

Proceedings of Institute of Mathematics of NAS of Ukraine 2004, Vol. 50, Part 1, 290297 Group Classification with Respect  

E-Print Network (OSTI)

Proceedings of Institute of Mathematics of NAS of Ukraine 2004, Vol. 50, Part 1, 290­297 Group Classification with Respect to Hidden Symmetry Irina YEHORCHENKO Institute of Mathematics of NAS Ukraine, 3 Tereshchenkivs'ka Str., 01601 Kyiv-4, Ukraine E-mail: iyegorch@imath.kiev.ua We present approaches to systematic

Popovych, Roman

430

Full Length Article: An information fusion based method for liver classification using texture analysis of ultrasound images  

Science Journals Connector (OSTI)

This paper presents a method for classification of liver ultrasound images based on texture analysis. The proposed method uses a set of seven texture features having high discriminative power which can be used by radiologists to classify the liver. Feature ... Keywords: Discriminative index, Information fusion, Medical ultrasound imaging, Texture analysis, Tissue characterization

Mandeep Singh, Sukhwinder Singh, Savita Gupta

2014-09-01T23:59:59.000Z

431

Classification of Compounds with Distinct or Overlapping Multi-Target Activities and Diverse Molecular Mechanisms Using Emerging Chemical Patterns  

Science Journals Connector (OSTI)

Classification of Compounds with Distinct or Overlapping Multi-Target Activities and Diverse Molecular Mechanisms Using Emerging Chemical Patterns ... Basic input data for building an ECP classifier consist of descriptor values of learning set compounds. ... posterior segregation family member (pos-1) ...

Vigneshwaran Namasivayam; Ye Hu; Jenny Balfer; Jrgen Bajorath

2013-05-21T23:59:59.000Z

432

A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models  

Science Journals Connector (OSTI)

In this paper, we propose a new multi-objective evolutionary algorithm-based ensemble optimizer coupled with neural network models for undertaking feature selection and classification problems. Specifically, the Modified micro Genetic Algorithm (MmGA) ... Keywords: Ensemble models, Evolutionary algorithm, Feature selection, Multi-objective optimization, Neural network classifiers

Choo Jun Tan; Chee Peng Lim; Yu-N Cheah

2014-02-01T23:59:59.000Z

433

Taxonomic Classification of Planning Decisions in Health Care: a Review of the State of the Art in OR/MS  

E-Print Network (OSTI)

Taxonomic Classification of Planning Decisions in Health Care: a Review of the State of the Art care, and a review of relevant OR/MS articles for each planning decision. The contribution. For each planning and control decision, we structurally review the key OR/MS articles and the OR/MS methods

Boucherie, Richard J.

434

The versatility of graded acoustic measures in classification of predation threats by the tufted titmouse Baeolophus bicolor  

E-Print Network (OSTI)

The versatility of graded acoustic measures in classification of predation threats by the tufted titmouse Baeolophus bicolor: exploring a mixed framework for threat communication Kathryn E. Sieving-based' alarms encode graded or ranked threat-levels by varying the production patterns of the same call types

Sieving, Kathryn E.

435

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 50, NO. 9, SEPTEMBER 2012 3317 Multiyear Arctic Sea Ice Classification  

E-Print Network (OSTI)

, QuikSCAT, sea ice. I. INTRODUCTION THE HIGH albedo and insulating properties of sea ice make Arctic Sea Ice Classification Using QuikSCAT Aaron M. Swan and David G. Long, Fellow, IEEE Abstract--Long-term trends in Arctic sea ice are of particular interest in studies of global temperature, climate change

Long, David G.

436

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 11, NO. 4, JULY 2007 443 Segmentation and Classification of Dot  

E-Print Network (OSTI)

Yeshaya Abstract--Signal segmentation and classification of fluorescence in situ hybridization (FISH classifier (NBC) or a multilayer perceptron is accomplished. When applied to a FISH image database, dot hybridization (FISH), image segmentation, multilayer perceptron (MLP), naive Bayesian classifier (NBC). I

Lerner, Boaz

437

Toward a Classification of the Ranks and Border Ranks of All (3,3,3) Trilinear Forms  

E-Print Network (OSTI)

are then interpreted geometrically as elements of certain secant varieties of Veronese and Segre varieties. Using this, I describe some of the techniques used to arrive at the classification of all (3,3,3) presented by Kok Omn Ng. The main result of this thesis is a...

Allums, Derek

2011-08-08T23:59:59.000Z

438

A Need-Based Collaboration Classification Framework Anita Sarma, Andr van der Hoek and Li-Te Cheng  

E-Print Network (OSTI)

1 A Need-Based Collaboration Classification Framework Anita Sarma, André van der Hoek and Li Irvine Irvine, CA 92697-3425 USA {asarma, andre}@ics.uci.edu IBM Research Collaborative User Experience Group 1 Rogers Street Cambridge, Massachusetts li-te_cheng@us.ibm.com Abstract Research in collaboration

Sarma, Anita

439

Abstract-This paper deals to the suitability of Complexity Measure of ECG signals for the classification of cardiac  

E-Print Network (OSTI)

Abstract- This paper deals to the suitability of Complexity Measure of ECG signals algorithms used in both surface ECG monitors and in implantable cardiovertor/defibrillators rely on simple to ECG classification mainly because of the poor results obtained. However, one of the advantages

Ayesta, Urtzi

440

Non-parallel semi-supervised classification based on kernel spectral Siamak Mehrkanoon and Johan A. K. Suykens  

E-Print Network (OSTI)

-parallel hyper- planes were determined via solving two generalized eigen- value problem and the method is termedNon-parallel semi-supervised classification based on kernel spectral clustering Siamak Mehrkanoon and Johan A. K. Suykens Abstract-- In this paper, a non-parallel semi-supervised al- gorithm based on kernel

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

ANUDISflM-37 SMART BRIDGE: A TOOL FOR ESTIMATING THE MILITARY LOAD CLASSIFICATION OF BRIDGES  

Office of Scientific and Technical Information (OSTI)

ANUDISflM-37 ANUDISflM-37 SMART BRIDGE: A TOOL FOR ESTIMATING THE MILITARY LOAD CLASSIFICATION OF BRIDGES USING VARYING LEVELS OF INFORMATION Decision and Information Sciences Division Argonne National Laboratory Operated by The University of Chicago, under Contract W-31-109-Eng-38, for the United States Department of Energy Argonne National Laboratory Argonne National Laboratory, with facilities in the states of Illinois and Idaho, is owned by the United States Government, and operated by the University of Chicago under the provisions of a contract with the Department of Energy. This technical memo is a product of Argonne's Decision and Information Sciences (DE) Division. For information on the division's scientific and engineering activities, contact: Director, Decision and Information

442

Classification of Kac representations in the logarithmic minimal models LM(1,p)  

E-Print Network (OSTI)

For each pair of positive integers r,s, there is a so-called Kac representation (r,s) associated with a Yang-Baxter integrable boundary condition in the lattice approach to the logarithmic minimal model LM(1,p). We propose a classification of these representations as finitely-generated submodules of Feigin-Fuchs modules, and present a conjecture for their fusion algebra which we call the Kac fusion algebra. The proposals are tested using a combination of the lattice approach and applications of the Nahm-Gaberdiel-Kausch algorithm. We also discuss how the fusion algebra may be extended by inclusion of the modules contragredient to the Kac representations, and determine polynomial fusion rings isomorphic to the conjectured Kac fusion algebra and its contragredient extension.

Jorgen Rasmussen

2010-12-23T23:59:59.000Z

443

Generalized Jackiw-Rebbi Model and Topological Classification of Free Fermion Insulators  

E-Print Network (OSTI)

We present a new perspective to the classification of topological phases in free fermion insulators by generalizing the Jackiw-Rebbi model to arbitrary dimensions. We show that a generalized Jackiw-Rebbi model where the Dirac mass ($m$) satisfies $m(x)=-m(-x)$ is invariant under a parity transformation ($P$) that relates the $x>0$ half to the $xinsulators. Gapless edge states are a natural consequence of our construction and their topological nature can be understood from the fact that all gapless edge states at a given interface transform similarly under $P$ (all odd or all even). A naive non-topological model for states confined to the interface will allow both even and odd states.

O. Nganba Meetei; Archana Anandakrishnan

2014-06-02T23:59:59.000Z

444

Classification of $SU(4) \\times SU(2) \\times U(1)$ Heterotic-String Models  

E-Print Network (OSTI)

The free fermionic construction of the heterotic string in four dimensions produced a large space of three generation models with the underlying $SO(10)$ embedding of the Standard Model states. The $SO(10)$ symmetry is broken to a subgroup directly at the string scale. Over the past few years free fermionic models with the Pati-Salam and flipped $SU(5)$ subgroups have been classified. In this paper we extend this classification program to models in which the $SO(10)$ symmetry is broken at the string level to the $SU(4)\\times SU(2)_L\\times U(1)_R$ (SU421) subgroup. The subspace of free fermionic models that we consider corresponds to symmetric ${\\mathbb{Z}}_2 \\times {\\mathbb{Z}}_2$ orbifolds. We provide a general argument that shows that this class of SU421 free fermionic models cannot produce viable three generation models.

Alon E. Faraggi; Hasan Sonmez

2014-12-09T23:59:59.000Z

445

Evaluating case-based decision theory: Predicting empirical patterns of human classification learning  

Science Journals Connector (OSTI)

Abstract We introduce a computer program which calculates an agent?s optimal behavior according to case-based decision theory (Gilboa and Schmeidler, 1995) and use it to test CBDT against a benchmark set of problems from the psychological literature on human classification learning (Shepard et al., 1961). This allows us to evaluate the efficacy of CBDT as an account of human decision-making on this set of problems. We find: (1) The choice behavior of this program (and therefore case-based decision theory) correctly predicts the empirically observed relative difficulty of problems and speed of learning in human data. (2) Similarity (how CBDT decision makers extrapolate from memory) is decreasing in vector distance, consistent with evidence in psychology (Shepard, 1987). (3) The best-fitting parameters suggest humans aspire to an 80 85 % success rate, and humans may increase their aspiration level during the experiment. (4) Average similarity is rejected in favor of additive similarity.

Andreas Duus Pape; Kenneth J. Kurtz

2013-01-01T23:59:59.000Z

446

Computing the environment of an artificial neuronal network for underwater signal classification  

Science Journals Connector (OSTI)

An environment for ANN signal processing has been designed and developed which is written with Turbo Visions CLASS in Borland C++ 3. Algorithms for mapping a BP network on a machine and task assign tactics are devised to implement ANN parallel algorithms. To use the PC as controller of the whole parallel system some problems have to be solved. So the floating?point conversion between TMS320C30 and IEEE formats executable program transforms as well as data?loading techniques are developed and presented in this paper. This application system has been used to quickly classify three kinds of underwater signals with a three?layer BP network in the ANN. Results show that the above classification can be finished in 28 ?s. The FFT algorithm with 1024 points is also simulated on the system and it takes 2.3 ms. The other advantage of this software is that it is easily expanded to include new functions.

Jinwen Zhang

1996-01-01T23:59:59.000Z

447

Classification of GHZ-type, W-type and GHZ-W-type multiqubit entanglements  

E-Print Network (OSTI)

We propose the concept of SLOCC-equivalent basis (SEB) in the multiqubit space. In particular, two special SEBs, the GHZ-type and the W-type basis are introduced. They can make up a more general family of multiqubit states, the GHZ-W-type states, which is a useful kind of entanglement for quantum teleporatation and error correction. We completely characterize the property of this type of states, and mainly classify the GHZ-type states and the W-type states in a regular way, which is related to the enumerative combinatorics. Many concrete examples are given to exhibit how our method is used for the classification of these entangled states.

Lin Chen; Yi-Xin Chen

2006-05-23T23:59:59.000Z

448

Building America Top Innovations Hall of Fame Profile … Vapor Retarder Classification  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2006 the IRC has permitted Class III 2006 the IRC has permitted Class III vapor retarders like latex paint (see list above) in all climate zones under certain conditions thanks to research by Building America teams. Air-tight and well-insulated homes have little or no tolerance for drying if they get wet; moisture control is critical. That's why Building America research establishing vapor retarder classifications and their appropriate applications has been instrumental in the market transformation to high-performance homes. As buildings have gotten tighter over the past several decades, questions about vapor retarders and vapor barriers have confounded builders and code developers. Vapor barriers have traditionally been installed on the warm in winter side of the wall assembly in an attempt to keep interior moisture from entering the wall cavity

449

Validation and Simplification of the Radiation Therapy Oncology Group Recursive Partitioning Analysis Classification for Glioblastoma  

SciTech Connect

Purpose: Previous recursive partitioning analysis (RPA) of patients with malignant glioma (glioblastoma multiforme [GBM] and anaplastic astrocytoma [AA]) produced six prognostic groups (I-VI) classified by six factors. We sought here to determine whether the classification for GBM could be improved by using an updated Radiation Therapy Oncology Group (RTOG) GBM database excluding AA and by considering additional baseline variables. Methods and Materials: The new analysis considered 42 baseline variables and 1,672 GBM patients from the expanded RTOG glioma database. Patients receiving radiation only were excluded such that all patients received radiation+carmustine. 'Radiation dose received' was replaced with 'radiation dose assigned.' The new RPA models were compared with the original model by applying them to a test dataset comprising 488 patients from six other RTOG trials. Fitness of the original and new models was evaluated using explained variation. Results: The original RPA model explained more variations in survival in the test dataset than did the new models (20% vs. 15%) and was therefore chosen for further analysis. It was reduced by combining Classes V and VI to produce three prognostic classes (Classes III, IV, and V+VI), as Classes V and VI had indistinguishable survival in the test dataset. The simplified model did not further improve performance (explained variation 18% vs. 20%) but is easier to apply because it involves only four variables: age, performance status, extent of resection, and neurologic function. Applying this simplified model to the updated GBM database resulted in three distinct classes with median survival times of 17.1, 11.2, and 7.5 months for Classes III, IV, and V+VI, respectively. Conclusions: The final model, the simplified original RPA model combining Classes V and VI, resulted in three distinct prognostic groups defined by age, performance status, extent of resection, and neurologic function. This classification will be used in future RTOG GBM trials.

Li Jing [University of Texas MD Anderson Cancer Center, Houston, TX (United States); Wang Meihua; Won, Minhee [RTOG Statistical Center, Philadelphia, PA (United States); Shaw, Edward G. [Wake Forest University School of Medicine, Winston-Salem, NC (United States); Coughlin, Christopher [Federal Bureau of Prisons, Butner, NC (United States); Curran, Walter J. [Emory Clinic, Atlanta, GA (United States); Mehta, Minesh P., E-mail: mehta@humonc.wisc.edu [University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI (United States)

2011-11-01T23:59:59.000Z

450

A 3D Automated Classification Scheme for the TAUVEX data pipeline  

E-Print Network (OSTI)

In order to develop a pipeline for automated classification of stars to be observed by the TAUVEX ultraviolet space Telescope, we employ an artificial neural network (ANN) technique for classifying stars by using synthetic spectra in the UV region from 1250\\AA to 3220\\AA as the training set and International Ultraviolet Explorer (IUE) low resolution spectra as the test set. Both the data sets have been pre-processed to mimic the observations of the TAUVEX ultraviolet imager. We have successfully classified 229 stars from the IUE low resolution catalog to within 3-4 spectral sub-class using two different simulated training spectra, the TAUVEX spectra of 286 spectral types and UVBLUE spectra of 277 spectral types. Further, we have also been able to obtain the colour excess (i.e. E(B-V) in magnitude units) or the interstellar reddening for those IUE spectra which have known reddening to an accuracy of better than 0.1 magnitudes. It has been shown that even with the limitation of data from just photometric bands, ANNs have not only classified the stars, but also provided satisfactory estimates for interstellar extinction. The ANN based classification scheme has been successfully tested on the simulated TAUVEX data pipeline. It is expected that the same technique can be employed for data validation in the ultraviolet from the virtual observatories. Finally, the interstellar extinction estimated by applying the ANNs on the TAUVEX data base would provide an extensive extinction map for our galaxy and which could in turn be modeled for the dust distribution in the galaxy.

Archana Bora; Ranjan Gupta; Harinder P. Singh; Jayant Murthy; Rekhesh Mohan; Kalpana Duorah

2007-11-27T23:59:59.000Z

451

Robust Machine Learning Applied to Astronomical Datasets I: Star-Galaxy Classification of the SDSS DR3 Using Decision Trees  

E-Print Network (OSTI)

We provide classifications for all 143 million non-repeat photometric objects in the Third Data Release of the Sloan Digital Sky Survey (SDSS) using decision trees trained on 477,068 objects with SDSS spectroscopic data. We demonstrate that these star/galaxy classifications are expected to be reliable for approximately 22 million objects with r machine learning environment Data-to-Knowledge and supercomputing resources enabled extensive investigation of the decision tree parameter space. This work presents the first public release of objects classified in this way for an entire SDSS data release. The objects are classified as either galaxy, star or nsng (neither star nor galaxy), with an associated probability for each class. To demonstrate how to effectively make use of these classifications, we perform several important tests. First, we detail selection criteria within the probability space defined by the three classes to extract samples of stars and galaxies to a given completeness and efficiency. Second, we investigate the efficacy of the classifications and the effect of extrapolating from the spectroscopic regime by performing blind tests on objects in the SDSS, 2dF Galaxy Redshift and 2dF QSO Redshift (2QZ) surveys. Given the photometric limits of our spectroscopic training data, we effectively begin to extrapolate past our star-galaxy training set at r ~ 18. By comparing the number counts of our training sample with the classified sources, however, we find that our efficiencies appear to remain robust to r ~ 20. As a result, we expect our classifications to be accurate for 900,000 galaxies and 6.7 million stars, and remain robust via extrapolation for a total of 8.0 million galaxies and 13.9 million stars. [Abridged

Nicholas M. Ball; Robert J. Brunner; Adam D. Myers; David Tcheng

2006-06-21T23:59:59.000Z

452

THE GALEX TIME DOMAIN SURVEY. I. SELECTION AND CLASSIFICATION OF OVER A THOUSAND ULTRAVIOLET VARIABLE SOURCES  

SciTech Connect

We present the selection and classification of over a thousand ultraviolet (UV) variable sources discovered in {approx}40 deg{sup 2} of GALEX Time Domain Survey (TDS) NUV images observed with a cadence of 2 days and a baseline of observations of {approx}3 years. The GALEX TDS fields were designed to be in spatial and temporal coordination with the Pan-STARRS1 Medium Deep Survey, which provides deep optical imaging and simultaneous optical transient detections via image differencing. We characterize the GALEX photometric errors empirically as a function of mean magnitude, and select sources that vary at the 5{sigma} level in at least one epoch. We measure the statistical properties of the UV variability, including the structure function on timescales of days and years. We report classifications for the GALEX TDS sample using a combination of optical host colors and morphology, UV light curve characteristics, and matches to archival X-ray, and spectroscopy catalogs. We classify 62% of the sources as active galaxies (358 quasars and 305 active galactic nuclei), and 10% as variable stars (including 37 RR Lyrae, 53 M dwarf flare stars, and 2 cataclysmic variables). We detect a large-amplitude tail in the UV variability distribution for M-dwarf flare stars and RR Lyrae, reaching up to |{Delta}m| = 4.6 mag and 2.9 mag, respectively. The mean amplitude of the structure function for quasars on year timescales is five times larger than observed at optical wavelengths. The remaining unclassified sources include UV-bright extragalactic transients, two of which have been spectroscopically confirmed to be a young core-collapse supernova and a flare from the tidal disruption of a star by dormant supermassive black hole. We calculate a surface density for variable sources in the UV with NUV < 23 mag and |{Delta}m| > 0.2 mag of {approx}8.0, 7.7, and 1.8 deg{sup -2} for quasars, active galactic nuclei, and RR Lyrae stars, respectively. We also calculate a surface density rate in the UV for transient sources, using the effective survey time at the cadence appropriate to each class, of {approx}15 and 52 deg{sup -2} yr{sup -1} for M dwarfs and extragalactic transients, respectively.

Gezari, S. [Department of Astronomy, University of Maryland, College Park, MD 20742-2421 (United States)] [Department of Astronomy, University of Maryland, College Park, MD 20742-2421 (United States); Martin, D. C.; Forster, K.; Neill, J. D.; Morrissey, P.; Wyder, T. K. [Astronomy Department, California Institute of Technology, MC 249-17, 1200 East California Boulevard, Pasadena, CA 91125 (United States)] [Astronomy Department, California Institute of Technology, MC 249-17, 1200 East California Boulevard, Pasadena, CA 91125 (United States); Huber, M.; Burgett, W. S.; Chambers, K. C.; Kaiser, N.; Magnier, E. A.; Tonry, J. L. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States)] [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Heckman, T.; Bianchi, L. [Department of Physics and Astronomy, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218 (United States)] [Department of Physics and Astronomy, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218 (United States); Neff, S. G. [Laboratory for Astronomy and Solar Physics, NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States)] [Laboratory for Astronomy and Solar Physics, NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Seibert, M. [Observatories of the Carnegie Institute of Washington, Pasadena, CA 90095 (United States)] [Observatories of the Carnegie Institute of Washington, Pasadena, CA 90095 (United States); Schiminovich, D. [Department of Astronomy, Columbia University, New York, NY 10027 (United States)] [Department of Astronomy, Columbia University, New York, NY 10027 (United States); Price, P. A., E-mail: suvi@astro.umd.edu [Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544 (United States)

2013-03-20T23:59:59.000Z

453

INFRARED CLASSIFICATION AND LUMINOSITIES FOR DUSTY ACTIVE GALACTIC NUCLEI AND THE MOST LUMINOUS QUASARS  

SciTech Connect

Mid-infrared spectroscopic measurements from the Infrared Spectrometer (IRS) on Spitzer are given for 125 hard X-ray active galactic nuclei (AGNs; 14-195 keV) from the Swift Burst Alert Telescope (BAT) sample and for 32 AGNs with black hole masses (BHMs) from reverberation mapping. The 9.7 {mu}m silicate feature in emission or absorption defines an infrared AGN classification describing whether AGNs are observed through dust clouds, indicating that 55% of the BAT AGNs are observed through dust. The mid-infrared dust continuum luminosity is shown to be an excellent indicator of intrinsic AGN luminosity, scaling closely with the hard X-ray luminosity, log {nu}L{sub {nu}}(7.8 {mu}m)/L(X) = -0.31 {+-} 0.35, and independent of classification determined from silicate emission or absorption. Dust luminosity scales closely with BHM, log {nu}L{sub {nu}}(7.8 {mu}m) = (37.2 {+-} 0.5) + 0.87 log BHM for luminosity in erg s{sup -1} and BHM in M{sub Sun }. The 100 most luminous type 1 quasars as measured in {nu}L{sub {nu}}(7.8 {mu}m) are found by comparing Sloan Digital Sky Survey (SDSS) optically discovered quasars with photometry at 22 {mu}m from the Wide-Field Infrared Survey Explorer (WISE), scaled to rest frame 7.8 {mu}m using an empirical template determined from IRS spectra. The most luminous SDSS/WISE quasars have the same maximum infrared luminosities for all 1.5 < z < 5, reaching total infrared luminosity L{sub IR} = 10{sup 14.4} L{sub Sun }. Comparing with dust-obscured galaxies from Spitzer and WISE surveys, we find no evidence of hyperluminous obscured quasars whose maximum infrared luminosities exceed the maximum infrared luminosities of optically discovered quasars. Bolometric luminosities L{sub bol} estimated from rest-frame optical or ultraviolet luminosities are compared to L{sub IR}. For the local AGN, the median log L{sub IR}/L{sub bol} = -0.35, consistent with a covering factor of 45% for the absorbing dust clouds. For the SDSS/WISE quasars, the median log L{sub IR}/L{sub bol} = 0.1, with extremes indicating that ultraviolet-derived L{sub bol} can be seriously underestimated even for type 1 quasars.

Weedman, Daniel; Sargsyan, Lusine; Houck, James; Barry, Donald [Astronomy Department, Cornell University, Ithaca, NY 14853 (United States); Lebouteiller, Vianney, E-mail: dweedman@isc.astro.cornell.edu [Laboratoire AIM, CEA/DSM-CNRS-Universite Paris Diderot, DAPNIA/Service d'Astrophysique, Saclay, F-91191 Gif-sur-Yvette Cedex (France)

2012-12-20T23:59:59.000Z

454

A Monte Carlo simulation based two-stage adaptive resonance theory mapping approach for offshore oil spill vulnerability index classification  

Science Journals Connector (OSTI)

Abstract In this paper, a Monte Carlo simulation based two-stage adaptive resonance theory mapping (MC-TSAM) model was developed to classify a given site into distinguished zones representing different levels of offshore Oil Spill Vulnerability Index (OSVI). It consisted of an adaptive resonance theory (ART) module, an ART Mapping module, and a centroid determination module. Monte Carlo simulation was integrated with the TSAM approach to address uncertainties that widely exist in site conditions. The applicability of the proposed model was validated by classifying a large coastal area, which was surrounded by potential oil spill sources, based on 12 features. Statistical analysis of the results indicated that the classification process was affected by multiple features instead of one single feature. The classification results also provided the least or desired number of zones which can sufficiently represent the levels of offshore OSVI in an area under uncertainty and complexity, saving time and budget in spill monitoring and response.

Pu Li; Bing Chen; Zelin Li; Xiao Zheng; Hongjing Wu; Liang Jing; Kenneth Lee

2014-01-01T23:59:59.000Z

455

A rough set-based effective rule generation method for classification with an application in intrusion detection  

Science Journals Connector (OSTI)

In this paper, we use Rough Set Theory (RST) to address the important problem of generating decision rules for data mining. In particular, we propose a rough set-based approach to mine rules from inconsistent data. It computes the lower and upper approximations for each concept, and then builds concise classification rules for each concept satisfying required classification accuracy. Estimating lower and upper approximations substantially reduces the computational complexity of the algorithm. We use UCI ML Repository data sets to test and validate the approach. We also use our approach on network intrusion data sets captured using our local network from network flows. The results show that our approach produces effective and minimal rules and provides satisfactory accuracy.

Prasanta Gogoi; Dhruba K. Bhattacharyya; Jugal K. Kalita

2013-01-01T23:59:59.000Z

456

Identification of coronal holes and filament channels in SDO/AIA 193\\r{A} images via geometrical classification methods  

E-Print Network (OSTI)

In this study, we describe and evaluate shape measures for distinguishing between coronal holes and filament channels as observed in Extreme Ultraviolet (EUV) images of the Sun. For a set of well-observed coronal hole and filament channel regions extracted from SDO/AIA 193\\r{A} images we analyze their intrinsic morphology during the period 2011 to 2013, by using well known shape measures from the literature and newly developed geometrical classification methods. The results suggest an asymmetry in the morphology of filament channels giving support for the sheared arcade or weakly twisted flux rope model for filaments. We find that the proposed shape descriptors have the potential to reduce coronal hole classification errors and are eligible for screening techniques in order to improve the forecasting of solar wind high-speed streams from coronal hole observations in solar EUV images.

Reiss, M; Rotter, T; Hofmeister, S J; Veronig, A M

2014-01-01T23:59:59.000Z

457

A Comparison of Soil Sensitivity to Acidification Based on Laboratory-Determined Short-Term Acid Buffering Capacity and the Skokloster Classification  

Science Journals Connector (OSTI)

The sensitivity of mineral soils to anthropogenically-induced acidification may be assessed using the Skokloster classification or by considering the short-term acid buffering capacity (STABC). The Skokloster ...

Mark E. Hodson; Simon J. Langan

1998-01-01T23:59:59.000Z

458

A Comparison of Soil Sensitivity to Acidification Based on Laboratory-Determined Short-Term Acid Buffering Capacity and the Skokloster Classification  

Science Journals Connector (OSTI)

The sensitivity of mineral soils to anthropogenically-induced acidification may be assessed using the Skokloster classification or by considering the short-term acid buffering capacity (STABC). The Skokloster ...

Mark E. Hodson; Simon J. Langan; David G. Lumsdon

1998-07-01T23:59:59.000Z

459

First Spark Spectrum of NeodymiumPreliminary Classification and Zeeman Effect Data  

Science Journals Connector (OSTI)

Classification by means of the combination principle of 367 lines of Nd II as arising from 30 lower and 57 upper levels has been checked by Zeeman effect measurements at fields up to 87,180 oersteds, and by other data from the M.I.T.-W.P.A. wave-length project. Quantum numbers have been assigned to those levels which have approximate LS coupling, and g values of all known levels have been determined. The lowest term is 4f4(I5)6s-aI6. All of the low terms found arise from 4f46s and 4f45d, while all identified upper terms are believed to arise from 4f46p. The strongest lines in the spectrum belong to the sextet and quartet supermultiplets arising from the transition 4f4(I5)6p-6s, but these show perturbations which give rise to important intensity anomalies which affect the selection of raies ultimes. Curves are given which show the variation, in the progression La II, Ce II, Pr II, and Nd II, of the binding of terms arising from the configurations fns, fnp, fnd and, where known, fn+1.

Walter E. Albertson; George R. Harrison; J. Rand McNally; Jr.

1942-02-01T23:59:59.000Z

460

THE CHOICE OF OPTIMAL STRUCTURE OF ARTIFICIAL NEURAL NETWORK CLASSIFIER INTENDED FOR CLASSIFICATION OF WELDING FLAWS  

SciTech Connect

Nondestructive testing and evaluation are under continuous development. Currently researches are concentrated on three main topics: advancement of existing methods, introduction of novel methods and development of artificial intelligent systems for automatic defect recognition (ADR). Automatic defect classification algorithm comprises of two main tasks: creating a defect database and preparing a defect classifier. Here, the database was built using defect features that describe all geometrical and texture properties of the defect. Almost twenty carefully selected features calculated for flaws extracted from real radiograms were used. The radiograms were obtained from shipbuilding industry and they were verified by qualified operator. Two weld defect's classifiers based on artificial neural networks were proposed and compared. First model consisted of one neural network model, where each output neuron corresponded to different defect group. The second model contained five neural networks. Each neural network had one neuron on output and was responsible for detection of defects from one group. In order to evaluate the effectiveness of the neural networks classifiers, the mean square errors were calculated for test radiograms and compared.

Sikora, R.; Chady, T.; Baniukiewicz, P.; Caryk, M.; Piekarczyk, B. [West Pomeranian University of Technology in Szczecin, Department of Electrical Engineering, 70-313 Szczecin (Poland)

2010-02-22T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

SSD-Optimized Workload Placement with Adaptive Learning and Classification in HPC Environments  

SciTech Connect

In recent years, non-volatile memory devices such as SSD drives have emerged as a viable storage solution due to their increasing capacity and decreasing cost. Due to the unique capability and capacity requirements in large scale HPC (High Performance Computing) storage environment, a hybrid config- uration (SSD and HDD) may represent one of the most available and balanced solutions considering the cost and performance. Under this setting, effective data placement as well as movement with controlled overhead become a pressing challenge. In this paper, we propose an integrated object placement and movement framework and adaptive learning algorithms to address these issues. Specifically, we present a method that shuffle data objects across storage tiers to optimize the data access performance. The method also integrates an adaptive learning algorithm where real- time classification is employed to predict the popularity of data object accesses, so that they can be placed on, or migrate between SSD or HDD drives in the most efficient manner. We discuss preliminary results based on this approach using a simulator we developed to show that the proposed methods can dynamically adapt storage placements and access pattern as workloads evolve to achieve the best system level performance such as throughput.

Wan, Lipeng [ORNL; Lu, Zheng [The University of Tennessee; Cao, Qing [University of Tennessee, Knoxville (UTK); Wang, Feiyi [ORNL; Oral, H Sarp [ORNL; Settlemyer, Bradley W [ORNL

2014-01-01T23:59:59.000Z

462

Classification of behavior using vocalizations of Pacific white-sided dolphins (Lagenorhynchus obliquidens)a)  

Science Journals Connector (OSTI)

Surface behavior and concurrent underwater vocalizations were recorded for Pacific white-sided dolphins in the Southern California Bight (SCB) over multiple field seasons spanning 3 years. Clicks click trains and pulsed calls were counted and classified based on acoustic measurements leading to the identification of 19 key call features used for analysis. Kruskal-Wallis tests indicated that call features differ significantly across behavioral categories. Previous work had discovered two distinctive click Types (A and B) which may correspond to known subpopulations of Pacific white-side dolphins in the Southern California Bight; this study revealed that animals producing these different click types also differ in both their behavior and vocalizationpatterns. Click Type A groups were predominantly observed slow traveling and milling with little daytime foraging while click Type B groups were observed traveling and foraging. These behavioral differences may be characteristic of niche partitioning by overlapping populations; coupled with differences in vocalizationpatterns they may signify that these subpopulations are cryptic species. Finally random forest decision trees were used to classify behavior based on vocalization data with rates of correct classification up to 86% demonstrating the potential for the use of vocalizationpatterns to predict behavior.

E. Elizabeth Henderson; John A. Hildebrand; Michael H. Smith

2011-01-01T23:59:59.000Z

463

Table 28. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 28. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 2,214 2,356 1,994 4,570 4,353 5.0 312 Beverage and Tobacco Product Mfg. 48 37 53 85 90 -5.6 313 Textile Mills 31 29 22 59 63 -6.1 315 Apparel Manufacturing w w w w w w 321 Wood Product Manufacturing w w w w w w 322 Paper Manufacturing

464

A RECOMMENDED PASQUILL-GIFFORD STABILITY CLASSIFICATION METHOD FOR SAFETY BASIS ATMOSPHERIC DISPERSION MODELING AT SRS  

SciTech Connect

Several of the most common methods for estimating Pasquill-Gifford (PG) stability (turbulence) class were evaluated for use in modeling the radiological consequences of SRS accidental releases using the MELCOR Accident Consequence Code System, Ver. 2 (MACCS2). Evaluation criteria included: (1) the ability of the method to represent diffusion characteristics above a predominantly forested landscape at SRS, (2) suitability of the method to provide data consistent with the formulation of the MACCS2 model, and (3) the availability of onsite meteorological data to support implementation of the method The evaluation resulted in a recommendation that PG stability classification for regulatory applications at SRS should be based on measurements of the standard deviation of the vertical component of wind direction fluctuations, {sigma}{sub e}, collected from the 61-m level of the SRS meteorological towers, and processed in full accordance with EPA-454/R-99-005 (EPA, 2000). This approach provides a direct measurement that is fundamental to diffusion and captures explicitly the turbulence generated by both mechanical and buoyant forces over the characteristic surface (forested) of SRS. Furthermore, due to the potentially significant enhancement of horizontal fluctuations in wind direction from the occurrence of meander at night, the use of {sigma}{sub e} will ensure a reasonably conservative estimate of PG stability class for use in dispersion models that base diffusion calculations on a single value of PG stability class. Furthermore, meteorological data bases used as input for MACCS2 calculations should contain hourly data for five consecutive annual periods from the most recent 10 years.

Hunter, C.

2012-03-28T23:59:59.000Z

465

Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points  

Science Journals Connector (OSTI)

Support vector machine (SVM) was applied for land-cover characterization using MODIS time-series data. Classification performance was examined with respect to training sample size, sample variability, and landscape homogeneity (purity). The results were compared to two conventional nonparametric image classification algorithms: multilayer perceptron neural networks (NN) and classification and regression trees (CART). For 2001 MODIS time-series data, SVM generated overall accuracies ranging from 77% to 80% for training sample sizes from 20 to 800 pixels per class, compared to 6776% and 6273% for NN and CART, respectively. These results indicated that SVMs had superior generalization capability, particularly with respect to small training sample sizes. There was also less variability of SVM performance when classification trials were repeated using different training sets. Additionally, classification accuracies were directly related to sample homogeneity/heterogeneity. The overall accuracies for the SVM algorithm were 91% (Kappa=0.77) and 64% (Kappa=0.34) for homogeneous and heterogeneous pixels, respectively. The inclusion of heterogeneous pixels in the training sample did not increase overall accuracies. Also, the SVM performance was examined for the classification of multiple year MODIS time-series data at annual intervals. Finally, using only the SVM output values, a method was developed to directly classify pixel purity. Approximately 65% of pixels within the AlbemarlePamlico Basin study area were labeled as functionally homogeneous with an overall classification accuracy of 91% (Kappa=0.79). The results indicated a high potential for regional scale operational land-cover characterization applications.

Yang Shao; Ross S. Lunetta

2012-01-01T23:59:59.000Z

466

Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models  

Science Journals Connector (OSTI)

It is commonly perceived that how well the planning is performed during the early stage will have significant impact on final project outcome. This paper outlines the development of artificial neural networks ensemble and support vector machines classification models to predict project cost and schedule success, using status of early planning as the model inputs. Through industry survey, early planning and project performance information from a total of 92 building projects is collected. The results show that early planning status can be effectively used to predict project success and the proposed artificial intelligence models produce satisfactory prediction results.

Yu-Ren Wang; Chung-Ying Yu; Hsun-Hsi Chan

2012-01-01T23:59:59.000Z

467

Application of classification methods in assessment of NATO member countries' economic, security and political risks  

Science Journals Connector (OSTI)

The aim of this paper is to attempt possible quantification of determinants of military expenditure and their application to current NATO member countries. To analyse the economic security and political risks of NATO member countries author employ multivariate statistical techniques which take into consideration the multivariate properties of the data sets used as input variables. Classification of countries based on cluster analysis has made it possible to identify disparities between NATO member countries and thus to describe diverse economic or security environment affecting the amount of military expenditure as a percentage of the respective countries' gross domestic product.

Jakub Odehnal

2013-01-01T23:59:59.000Z

468

Auto Defect Classification (ADC) Value for Patterned Wafer Inspection Systems in PLY Within a High Volume Wafer Manufacturing Fabrication Facility  

E-Print Network (OSTI)

.* * Since ADC classification is done from the "Patch" images from inspectors (about 1/4 um resolution average recipe, and the resolution of the SEM is one order of magnitude better approx. 30nm. ) So getting valuable data that you can trust from... with Excursion Detection example. Financial charts highlighting opportunity for baseline yield improvement of $10.8M yearly. Assumptions Without ADC If React within 1day to excursion Dram Chip value (ASP for 1Gb DRAM in 2008) $1.50 $1.50 Dram...

Durniak, John

2010-05-14T23:59:59.000Z

469

(Teff,log g,[Fe/H]) Classification of Low-Resolution Stellar Spectra using Artificial Neural Networks  

E-Print Network (OSTI)

New generation large-aperture telescopes, multi-object spectrographs, and large format detectors are making it possible to acquire very large samples of stellar spectra rapidly. In this context, traditional star-by-star spectroscopic analysis are no longer practical. New tools are required that are capable of extracting quickly and with reasonable accuracy important basic stellar parameters coded in the spectra. Recent analyses of Artificial Neural Networks (ANNs) applied to the classification of astronomical spectra have demonstrated the ability of this concept to derive estimates of temperature and luminosity. We have adapted the back-propagation ANN technique developed by von Hippel et al. (1994) to predict effective temperatures, gravities and overall metallicities from spectra with resolving power ~ 2000 and low signal-to-noise ratio. We show that ANN techniques are very effective in executing a three-parameter (Teff,log g,[Fe/H]) stellar classification. The preliminary results show that the technique is even capable of identifying outliers from the training sample.

Shawn Snider; Yuan Qu; Carlos Allende Prieto; Ted von Hippel; Timothy C. Beers; Chistopher Sneden; David L. Lambert

1999-12-19T23:59:59.000Z

470

REVISITING THE LONG/SOFT-SHORT/HARD CLASSIFICATION OF GAMMA-RAY BURSTS IN THE FERMI ERA  

SciTech Connect

We perform a statistical analysis of the temporal and spectral properties of the latest Fermi gamma-ray bursts (GRBs) to revisit the classification of GRBs. We find that the bimodalities of duration and the energy ratio (E{sub peak}/Fluence) and the anti-correlation between spectral hardness (hardness ratio (HR), peak energy, and spectral index) and duration (T{sub 90}) support the long/soft-short/hard classification scheme for Fermi GRBs. The HR-T{sub 90} anti-correlation strongly depends on the spectral shape of GRBs and energy bands, and the bursts with the curved spectra in the typical BATSE energy bands show a tighter anti-correlation than those with the power-law spectra in the typical BAT energy bands. This might explain why the HR-T{sub 90} correlation is not evident for those GRB samples detected by instruments like Swift with a narrower/softer energy bandpass. We also analyze the intrinsic energy correlation for the GRBs with measured redshifts and well-defined peak energies. The current sample suggests E{sub p,rest} = 2455 Multiplication-Sign (E{sub iso}/10{sup 52}){sup 0.59} for short GRBs, significantly different from that for long GRBs. However, both the long and short GRBs comply with the same E{sub p,rest}-L{sub iso} correlation.

Zhang Fuwen; Yan Jingzhi; Wei Daming [Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008 (China); Shao Lang, E-mail: fwzhang@pmo.ac.cn [Department of Physics, Hebei Normal University, Shijiazhuang 050016 (China)

2012-05-10T23:59:59.000Z

471

Towards a Real-time Transient Classification Engine J. S. Bloom1, , D. L. Starr1,2, N. R. Butler1, P. Nugent1,3, M. Rischard1, D. Eads4, and  

E-Print Network (OSTI)

-throughput imaging data streams. Described herein, the Transient Classification Project at Berkeley will be making large imaging surveys of the static sky is a maturing endeavor. Star-galaxy classification Bailey, this workshop).While interested primarily in supernovae, the deep lens survey (2; see Becker

Geddes, Cameron Guy Robinson

472

The Use of Decision Threshold Adjustment in Classification for Cancer Prediction James J. Chen1, Chen-An Tsai2, Hojin Moon1, Hongshik Ahn3, John J. Young1,  

E-Print Network (OSTI)

The Use of Decision Threshold Adjustment in Classification for Cancer Prediction James J. Chen1 #12;INTRODUCTION Classification/prediction (machine learning) has been a widely used data mining technique in many areas of research and applications. Class prediction has been used to predict the activity

Ahn, Hongshik

473

The need for a characteristics-based approach to radioactive waste classification as informed by advanced nuclear fuel cycles using the fuel-cycle integration and tradeoffs (FIT) model  

SciTech Connect

This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. Because heat generation is generally the most important factor limiting geological repository areal loading, this analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. Waste streams generated in different fuel cycles and their possible classification based on the current U.S. framework and international standards are discussed. It is shown that the effects of separating waste streams are neglected under a source-based radioactive waste classification system. (authors)

Djokic, D. [Department of Nuclear Engineering, University of California, Berkeley, 3115B Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, S.; Pincock, L.; Soelberg, N. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

2013-07-01T23:59:59.000Z

474

Support Vector Machines Issues in the classification of text documents Learning Boolean Weights Learning Real-Valued Web Search and Text Mining  

E-Print Network (OSTI)

Support Vector Machines Issues in the classification of text documents Learning Boolean Weights Vector Machines and Learning to Rank Alexander Gray Georgia Institute of Technology, College of Computing 2011 Gray: Support Vector Machines and Learning to Rank 1 / 59 #12;Support Vector Machines Issues

Gray, Alexander

475

Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model - 13413  

SciTech Connect

This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system, and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity. (authors)

Djokic, Denia [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States)] [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, Steven J.; Pincock, Layne F.; Soelberg, Nick R. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)] [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

2013-07-01T23:59:59.000Z

476

A Novel Interface for Higher-Dimensional Classification of Volume Data Fan-Yin Tzeng Eric B. Lum Kwan-Liu Ma  

E-Print Network (OSTI)

rendering of MRI head with a 1-D transfer function. Middle: 2-D transfer function. Right: 10-D the actual classification. For example, for the MRI head data set (also shown in Figure 2), it is difficult to specify a one-dimensional transfer function that differentiates the brain and the region near the skull

Ma, Kwan-Liu

477

JOURNAL DE PHYSIQUE Colloque C6, supplgment au no 12, Tome 37, Dtcembre 1976, page C6-825 A CLASSIFICATION OF GOETHITE MINERALS  

E-Print Network (OSTI)

-825 A CLASSIFICATION OF GOETHITE MINERALS BASED ON THE MOSSBAUER BEHAVIOUR A. GOVAERT, C. DAUWE, P. PLINKE, E. DE GRAVE de la r6duction de la taille des grains dans des Bchantillons naturels de goethite sont decrits this paper grain size effects in mineralogical goethite samples are described, as they appear in Mossbauer

Paris-Sud XI, Université de

478

By the National Wetlands Working Group / Edited by B.G. Warner and C.D.A. Rubec The Canadian Wetland Classification System  

E-Print Network (OSTI)

By the National Wetlands Working Group / Edited by B.G. Warner and C.D.A. Rubec The Canadian Wetland Classification System Second Edition #12; 1997 by the Wetlands Research Centre, University Wetlands Conservation Council (Canada) · Wetlands Research Centre, University of Waterloo Copies

Laval, Université

479

Standard for Communicating Waste Characterization and DOT Hazard Classification Requirements for Low Specific Activity Materials and Surface Contaminated Objects  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

STD-5507-2013 STD-5507-2013 February 2013 DOE STANDARD Standard for Communicating Waste Characterization and DOT Hazard Classification Requirements for Low Specific Activity Materials and Surface Contaminated Objects [This Standard describes acceptable, but not mandatory means for complying with requirements. Standards are not requirements documents and are not to be construed as requirements in any audit or appraisal for compliance with associated rule or directives.] U.S. Department of Energy SAFT Washington, D.C. 20585 Distribution Statement: A. Approved for public release; distribution is unlimited This document has been reproduced directly from the best available copy. Available to DOE and DOE contractors from ES&H Technical Information Services,

480

Beryllium: Hazards evaluation, facility classification, consequence analysis of releases during potential accidents, and protection of public and workers  

Science Journals Connector (OSTI)

Comprehensive literature searches on beryllium (Be) and information on the particle size distribution of Be powder (Mishima et al.)1,2 indicate that the new airborne release fraction/respirable fraction (ARF/RF) values for large coherent pieces, turnings/swarfs, chips/powder, and dust are several orders of magnitude lower for explosion, fire, and spill (e.g., 1E?2, 1.5E?5, 1E?6) than earlier estimates based on DOE-HDBK-3010.3 This implies a lower consequence exposure and thus an increase in threshold limit or lower facility hazard classification (HighModerateLow), and less risk of exposure to workers and public during these accident scenarios. This is demonstrated by a case study of using 100lbs chips/powder under various accident conditions (explosion, fire, and spill) in standard terrain (rural) and city terrain (urban) to assess the relative concentrations to a receptor at different distances, using \\{EPIcode\\} (Emergency Prediction Information Code) dispersion model. Beryllium aerosol exposure can cause: (1) acute exposure (short term) from Emergency Response Planning Guideline-3, -2 (ERPG-3, -2) levels; and (2) chronic (long term) from sensitization and chronic beryllium disease (CBD). Per 40 CFR 61.32, the Environmental Protection Agency (EPA) Be emission standard limit to protect the public (no CBD) is 0.01?g/m3 on a 30-day time weighted average (TWA).4 Facility hazard classifications require modeling to be performed to establish a distance beyond which the public is protected. A case study using 100lbs chip/powder release with conservative assumptions (e.g., standard, term release) shows that the public is protected beyond 200m. The American Conference of Government Industrial Hygienists (ACGIH)5 and Occupational Safety and Health Administration (OSHA) adopted exposure threshold limit value for workers at 2.0?g/m3, based on 8-hr TWA. However, 10 CFR 850 Rule on CBD and Prevention Program6 requires a protection at 0.2?g/m3 (8h TWA), to further mitigate or prevent any health effects or CBD. Thus, 40 CFR 61.32, ACGIH and OSHA guide, and 10 CFR 850 Rule, coupled with the worker protection program and adequate safety controls, provide adequate protection from the CBD to the workers and public.

J.C. Laul; Rich Norman

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "geothermometry sanyal classification" 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

UV Disinfection Equipment Marketing Plan. "The Impact of New Water Quality Effluent Standards and Whole Body Contact Classification of Missouri Waters"  

E-Print Network (OSTI)

Quality Standards (WQS) contain criteria adopted from the USEPA and include classifications or designations for the use of water bodies within the state. The state adopts the Water Quality Standards (WQS) under section 303(c) of the Clean Water Act... protected for WBC recreation requiring a bacteria standard for activities such as swimming. 4 Clean Water Act, Section 303, Adoption of WQS, Section 304, Water Quality Criteria and Measurement and 40 CFR...

Koehler, Paul

2006-05-19T23:59:59.000Z

482

LES REVUES D'EXCELLENCE EN ECONOMIE ET EN GESTION : DISCORDANCES ENTRE LA CLASSIFICATION DE L'AERES ET LES FACTEURS  

E-Print Network (OSTI)

1 LES REVUES D'EXCELLENCE EN ECONOMIE ET EN GESTION : DISCORDANCES ENTRE LA CLASSIFICATION DE L'AERES novembre 2009 En 2008, l'agence d'évaluation de la recherche et de l'enseignement supérieur (AERES 109 revues parmi les 594 (18%) revues classées A, B ou C par l'AERES ont des facteurs d'impact par

Paris-Sud XI, Université de

483

Induced Radioactivity and Waste Classification of Reactor Zone Components of the Chernobyl Nuclear Power Plant Unit 1 After Final Shutdown  

SciTech Connect

The dismantlement of the reactor core materials and surrounding structural components is a major technical concern for those planning closure and decontamination and decommissioning of the Chernobyl Nuclear Power Plant (NPP). Specific issues include when and how dismantlement should be accomplished and what the radwaste classification of the dismantled system would be at the time it is disassembled. Whereas radiation levels and residual radiological characteristics of the majority of the plant systems are directly measured using standard radiation survey and radiochemical analysis techniques, actual measurements of reactor zone materials are not practical due to high radiation levels and inaccessibility. For these reasons, neutron transport analysis was used to estimate induced radioactivity and radiation levels in the Chernobyl NPP Unit 1 reactor core materials and structures.Analysis results suggest that the optimum period of safe storage is 90 to 100 yr for the Unit 1 reactor. For all of the reactor components except the fuel channel pipes (or pressure tubes), this will provide sufficient decay time to allow unlimited worker access during dismantlement, minimize the need for expensive remote dismantlement, and allow for the dismantled reactor components to be classified as low- or medium-level radioactive waste. The fuel channel pipes will remain classified as high-activity waste requiring remote dismantlement for hundreds of years due to the high concentration of induced {sup 63}Ni in the Zircaloy pipes.

Bylkin, Boris K. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Davydova, Galina B. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Zverkov, Yuri A. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Krayushkin, Alexander V. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Neretin, Yuri A. [Chernobyl Nuclear Power Plant (Ukraine); Nosovsky, Anatoly V. [Slavutych Division of the International Chernobyl Center (Ukraine); Seyda, Valery A. [Chernobyl Nuclear Power Plant (Ukraine); Short, Steven M. [Pacific Northwest National Laboratory (United States)

2001-10-15T23:59:59.000Z

484

On the impact of second generation mating and offspring in multi-generation reproductive toxicity studies on classification and labelling of substances in Europe  

Science Journals Connector (OSTI)

The possible impact on classification and labelling decisions of effects observed in second generation parental (P1) and offspring (F2) parameters in multi-generation studies was investigated. This was done for 50 substances classified as reproductive toxicants in Europe, for which a multi-generation study was available. The P1 and F2 effects were compared to parental (P0) and first generation offspring (F1) effects with regard to type of effect as well as incidence, magnitude and severity (IMS), at any dose level. For every study with unique P1/F2 effects, or differences in IMS, the influence of the P1/F2 findings on the classification decision was investigated. Unique P1/F2 generation findings did not play a crucial role in the classification decision of any of the 50 classified substances, except for fenarimol. This substance however provided abundant alerts on the basis of its endocrine activity and developmental neurotoxicity and would therefore also be expected to be identified as a developmental neurotoxicant in an Extended One Generation Reproductive Toxicity Study (EOGRTS). These findings, in addition to the increased number of parameters analysed, increased statistical power and reduced animal use, provide strong further support for replacement of the classical two-generation reproductive toxicity study by the EOGRTS in regulatory reproductive toxicity assessment.

Emiel Rorije; Andr Muller; Manon E.W. Beekhuijzen; Ulla Hass; Barbara Heinrich-Hirsch; Martin Paparella; Erna Schenk; Beate Ulbrich; Betty C. Hakkert; Aldert H. Piersma

2011-01-01T23:59:59.000Z

485

Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code  

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

Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 29. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date NAICS Code April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change 311 Food Manufacturing 51.17 49.59 50.96 50.35 50.94 -1.2 312 Beverage and Tobacco Product Mfg. 111.56 115.95 113.47 113.49 117.55 -3.5 313 Textile Mills 115.95 118.96 127.41 117.40 128.07 -8.3 315 Apparel Manufacturing

486

Assessment of Exploitable Geothermal Resources Using Magmatic...  

Open Energy Info (EERE)

parameter in the magmatic transfer method. The method of magmatic heat transfer (Smith and Shaw, 1975; Sanyal et al., 2002) was applied in the main volcanic complexes of the...

487

Classification of Air Cleanliness  

Science Journals Connector (OSTI)

Due to the understanding of the characteristic of particle distribution on log-log paper, parallel lines on this kind of paper were used to distinguish between different places for the first time in the USA lev...

Zhonglin Xu

2014-01-01T23:59:59.000Z

488

THE CLASSIFICATION OF SCIENCE  

Science Journals Connector (OSTI)

...Txroceras and many others. A heavy slab covered witlh Trigonia is noticeable among...upon the intelligence and energy of its collector. It will come into immediate service...which otir platet belongs, and hentce Solar Astronomy is a conse(luent, anid its...

Samuel Fleming

1881-02-05T23:59:59.000Z

489

Methods for data classification  

DOE Patents (OSTI)

The present invention provides methods for classifying data and uncovering and correcting annotation errors. In particular, the present invention provides a self-organizing, self-correcting algorithm for use in classifying data. Additionally, the present invention provides a method for classifying biological taxa.

Garrity, George (Okemos, MI); Lilburn, Timothy G. (Front Royal, VA)

2011-10-11T23:59:59.000Z

490

Position Management and Classification  

Directives, Delegations, and Requirements

The Order establishes Departmental requirements and responsibilities for classifying positions using the General Schedule (GS) and the Federal Wage System (FWS) standards.

2014-10-30T23:59:59.000Z

491

Geochemical Techniques | Open Energy Information  

Open Energy Info (EERE)

Geochemical Techniques Geochemical Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Geochemical Techniques Details Activities (0) Areas (0) Regions (0) NEPA(1) Exploration Technique Information Exploration Group: Geochemical Techniques Exploration Sub Group: None Parent Exploration Technique: Exploration Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Geochemical Techniques: No definition has been provided for this term. Add a Definition Related Techniques Geochemical Techniques Geochemical Data Analysis Geothermometry Gas Geothermometry Isotope Geothermometry Liquid Geothermometry Cation Geothermometers Multicomponent Geothermometers Silica Geothermometers Thermal Ion Dispersion

492

Geothermal Site Assessment Using the National Geothermal Data...  

Open Energy Info (EERE)

a database user can identify Hawthorne-area thermal anomalies several ways: through spatial interpolation of database geothermometry, temperature gradient calculations, and...

493

Rare-earth elements in the atmosphere of the magnetic chemically peculiar star HD 144897. New classification of the Nd III spectrum  

E-Print Network (OSTI)

We have obtained a UVES spectrum of a slowly rotating strongly magnetic Ap star, HD 144897, that exhibits very large overabundances of rare-earth elements. Here we present a detailed spectral analysis of this object, also taking into account effects of non-uniform vertical distribution (stratification) of chemical elements. We have determined the photospheric abundances of 40 ions. For seven elements (Mg, Si, Ca, Ti, Cr, Mn, Fe), we have obtained a stratification model that allow us to produce a satisfactory fit to the observed profiles of spectral lines of various strength. REEs abundances, that for the first time in the literature have been determined from the lines of the first and second ions, have been found typically four dex larger than solar abundances. Our analysis of REE spectral lines provide a strong support to the laboratory line classification and determination of the atomic parameters. The only remarkable exception is Nd III, for which spectral synthesis was found to be inconsistent with the ob...

Ryabchikova, T A; Kochukhov, O; Ryabtsov, A V

2006-01-01T23:59:59.000Z

494

Use of the K ppen-Trewartha Climate Classification to Evaluate Climatic Refugia in Statistically Derived Ecoregions for the People's Republic of China  

SciTech Connect

Changes in climate as projected by state-of-the-art climate models are likely to result in novel combinations of climate and topo-edaphic factors that will have substantial impacts on the distribution and persistence of natural vegetation and animal species. We have used multivariate techniques to quantify some of these changes; the method employed was the Multivariate Spatio-Temporal Clustering (MSTC) algorithm. We used the MSTC to quantitatively define ecoregions for the People s Republic of China for historical and projected future climates. Using the K ppen Trewartha classification system we were able to quantify some of the temperature and precipitation relationships of the ecoregions. We then tested the hypothesis that impacts to environments will be lower for ecoregions that retain their approximate geographic locations. Our results showed that climate in 2050, as projected from anthropogenic forcings using the Hadley Centre HadCM3 general circulation model, were sufficient to create novel environmental conditions even where ecoregions remained spatially stable; cluster number was found to be of paramount importance in detecting novelty. Continental-scale analyses are generally able to locate potentially static ecoregions but they may be insufficient to define the position of those reserves at a grid cell-by-grid cell basis.

Baker, Barry [Nature Conservancy, The; Diaz, Henry [NOAA ESRL and CIRES; HargroveJr., William Walter [USDA Forest Service; Hoffman, Forrest M [ORNL

2010-01-01T23:59:59.000Z

495

Chemical classification of iron meteoritesIX. A new group (IIF), revision of IAB and IIICD, and data on 57 additional irons  

Science Journals Connector (OSTI)

Structural observations and concentrations of Ni, Ga, Ge and Ir allow the classification of 57 iron meteorites in addition to those described in the previous papers in this series; the number of classified independent iron meteorites is now 535. INAA for an additional six elements indicates that five previously studied irons having very high GeGa ratios are compositionally closely related and can be gathered together as group IIF. A previously unstudied iron, Dehesa, has the highest GeGa ratio known in an iron meteorite, a ratio 18 higher than that in CI chondrites. Although such high GeGa ratios are found in the metal grains of oxidized unequilibrated chondrites, their preservation during core formation requires disequilibrium melting or significant compositional and temperature effects on metal/silicate distribution constants and/or activity coefficients. In terms of GeGa ratios and various other properties group IIF shows genetic links to the Eagle Station pallasites and COCV chondrites. Klamath Falls is a new high-Ni, low-Ir member of group IIIF that extends the concentration ranges in this group and makes these comparable to the ranges in large igneous groups such as IIIAB. Groups IAB and IIICD have been revised to extend the lower Ni boundary of group IIICD down to 62 mg/g. The iron having by far the highest known Ni concentration (585 mg/g), Oktibbeha County, is a member of group IAB and extends the concentration ranges of all elements in this nonmagmatic group. Morasko, a IAB iron associated with a crater field in Poland, is paired with the Seelsgen iron discovered 100 km away. All explosion craters from which meteorites have been recovered were produced by IAB and IIIAB irons.

Alfred Kracher; John Willis; John T Wasson

1980-01-01T23:59:59.000Z

496

Automated classification of power signals  

E-Print Network (OSTI)

The Non-Intrusive Load Monitor (NILM) is a device that utilizes voltage and current measurements to monitor an entire system from a single reference point. The NILM and associated software convert the V/I signal to spectral ...

Proper, Ethan R. (Ethan Richard)

2008-01-01T23:59:59.000Z

497

Texas Show Steer Breed Classification  

E-Print Network (OSTI)

. Blaze or streak face. A wide strip of white down the face to the muzzle. Bos indicus (zebu). Subspecies of cattle originating in south Asia; has a prominent hump on top or in front of shoulder. Bos taurus. Subspecies of cattle; originated in west...

Cleere, Jason; Mazurkiewicz, Jim; Hammack, Stephen P.

2008-02-28T23:59:59.000Z

498

Classification of wind power technologies  

Science Journals Connector (OSTI)

Literature offers many possibilities to classify wind power technologies, for example with respect to their ... which materials are required for the construction of wind power plants and which of them may become....

Anja Brumme

2014-01-01T23:59:59.000Z

499

Video occupant detection and classification  

DOE Patents (OSTI)

A system for determining when it is not safe to arm a vehicle airbag by storing representations of known situations as observed by a camera at a passenger seat; and comparing a representation of a camera output of the current situation to the stored representations to determine the known situation most closely represented by the current situation. In the preferred embodiment, the stored representations include the presence or absence of a person or infant seat in the front passenger seat of an automobile.

Krumm, John C. (Albuquerque, NM)

1999-01-01T23:59:59.000Z

500

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network (OSTI)

SUMMARY: Serve as a clerical support for Kinesiology & Integrative Physiology Education and the Intramural correspondence and other written material such as, flyers, announcements, schedules, mail merges, posters accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION

Endres. William J.