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1

A full-spectral Bayesian reconstruction approach based on the material decomposition model applied in dual-energy computed tomography  

SciTech Connect (OSTI)

Purpose: Dual-energy computed tomography (DECT) makes it possible to get two fractions of basis materials without segmentation. One is the soft-tissue equivalent water fraction and the other is the hard-matter equivalent bone fraction. Practical DECT measurements are usually obtained with polychromatic x-ray beams. Existing reconstruction approaches based on linear forward models without counting the beam polychromaticity fail to estimate the correct decomposition fractions and result in beam-hardening artifacts (BHA). The existing BHA correction approaches either need to refer to calibration measurements or suffer from the noise amplification caused by the negative-log preprocessing and the ill-conditioned water and bone separation problem. To overcome these problems, statistical DECT reconstruction approaches based on nonlinear forward models counting the beam polychromaticity show great potential for giving accurate fraction images.Methods: This work proposes a full-spectral Bayesian reconstruction approach which allows the reconstruction of high quality fraction images from ordinary polychromatic measurements. This approach is based on a Gaussian noise model with unknown variance assigned directly to the projections without taking negative-log. Referring to Bayesian inferences, the decomposition fractions and observation variance are estimated by using the joint maximum a posteriori (MAP) estimation method. Subject to an adaptive prior model assigned to the variance, the joint estimation problem is then simplified into a single estimation problem. It transforms the joint MAP estimation problem into a minimization problem with a nonquadratic cost function. To solve it, the use of a monotone conjugate gradient algorithm with suboptimal descent steps is proposed.Results: The performance of the proposed approach is analyzed with both simulated and experimental data. The results show that the proposed Bayesian approach is robust to noise and materials. It is also necessary to have the accurate spectrum information about the source-detector system. When dealing with experimental data, the spectrum can be predicted by a Monte Carlo simulator. For the materials between water and bone, less than 5% separation errors are observed on the estimated decomposition fractions.Conclusions: The proposed approach is a statistical reconstruction approach based on a nonlinear forward model counting the full beam polychromaticity and applied directly to the projections without taking negative-log. Compared to the approaches based on linear forward models and the BHA correction approaches, it has advantages in noise robustness and reconstruction accuracy.

Cai, C. [CEA, LIST, 91191 Gif-sur-Yvette, France and CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France)] [CEA, LIST, 91191 Gif-sur-Yvette, France and CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France); Rodet, T.; Mohammad-Djafari, A. [CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France)] [CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France); Legoupil, S. [CEA, LIST, 91191 Gif-sur-Yvette (France)] [CEA, LIST, 91191 Gif-sur-Yvette (France)

2013-11-15T23:59:59.000Z

2

Spectral-phase interferometry for direct electric-field reconstruction applied to seeded extreme-ultraviolet free-electron lasers  

E-Print Network [OSTI]

We present a setup for complete characterization of femtosecond pulses generated by seeded free-electron lasers (FEL's) in the extreme-ultraviolet spectral region. Two delayed and spectrally shifted replicas are produced and used for spectral phase interferometry for direct electric field reconstruction (SPIDER). We show that it can be achieved by a simple arrangement of the seed laser. Temporal shape and phase obtained in FEL simulations are well retrieved by the SPIDER reconstruction, allowing to foresee the implementation of this diagnostic on existing and future sources. This will be a significant step towards an experimental investigation and control of FEL spectral phase.

Mahieu, Benoît; De Ninno, Giovanni; Dacasa, Hugo; Lozano, Magali; Rousseau, Jean-Philippe; Zeitoun, Philippe; Garzella, David; Merdji, Hamed

2015-01-01T23:59:59.000Z

3

APPLIED PHYSICS APPLIED PHYSICS  

E-Print Network [OSTI]

MSc APPLIED PHYSICS #12;MSc APPLIED PHYSICS This taught Masters course is based on the strong research in Applied Physics in the University's Department of Physics. The department has an impressive photonics and quantum optics, Physics and the Life Sciences, and solid state physics. The knowledge gained

Mottram, Nigel

4

Technical basis for dose reconstruction  

SciTech Connect (OSTI)

The purpose of this paper is to consider two general topics: technical considerations of why dose-reconstruction studies should or should not be performed and methods of dose reconstruction. The first topic is of general and growing interest as the number of dose-reconstruction studies increases, and one asks the question whether it is necessary to perform a dose reconstruction for virtually every site at which, for example, the Department of Energy (DOE) has operated a nuclear-related facility. And there is the broader question of how one might logically draw the line at performing or not performing dose-reconstruction (radiological and chemical) studies for virtually every industrial complex in the entire country. The second question is also of general interest. There is no single correct way to perform a dose-reconstruction study, and it is important not to follow blindly a single method to the point that cheaper, faster, more accurate, and more transparent methods might not be developed and applied.

Anspaugh, L.R.

1996-01-31T23:59:59.000Z

5

Shape reconstruction from gradient data  

SciTech Connect (OSTI)

We present a generalized method for reconstructing the shape of an object from measured gradient data. A certain class of optical sensors does not measure the shape of an object but rather its local slope. These sensors display several advantages, including high information efficiency, sensitivity, and robustness. For many applications, however, it is necessary to acquire the shape, which must be calculated from the slopes by numerical integration. Existing integration techniques show drawbacks that render them unusable in many cases. Our method is based on an approximation employing radial basis functions. It can be applied to irregularly sampled, noisy, and incomplete data, and it reconstructs surfaces both locally and globally with high accuracy.

Ettl, Svenja; Kaminski, Juergen; Knauer, Markus C.; Haeusler, Gerd

2008-04-20T23:59:59.000Z

6

Equilibrium Reconstruction on the Large Helical Device  

SciTech Connect (OSTI)

Equilibrium reconstruction is commonly applied to axisymmetric toroidal devices. Recent advances in computational power and equilibrium codes have allowed for reconstructions of three-dimensional fields in stellarators and heliotrons. We present the first reconstructions of finite beta discharges in the Large Helical Device (LHD). The plasma boundary and magnetic axis are constrained by the pressure profile from Thomson scattering. This results in a calculation of plasma beta without a-priori assumptions of the equipartition of energy between species. Saddle loop arrays place additional constraints on the equilibrium. These reconstruction utilize STELLOPT, which calls VMEC. The VMEC equilibrium code assumes good nested flux surfaces. Reconstructed magnetic fields are fed into the PIES code which relaxes this constraint allowing for the examination of the effect of islands and stochastic regions on the magnetic measurements.

Samuel A. Lazerson, D. Gates, D. Monticello, H. Neilson, N. Pomphrey, A. Reiman S. Sakakibara, and Y. Suzuki

2012-07-27T23:59:59.000Z

7

CX-009291: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Reconstructing Paleo-SMT Positions on the Cascadia Margin Using Magnetic Susceptibility CX(s) Applied: B3.6 Date: 09/07/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory

8

CX-009287: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Reconstructing Paleo-SMT Positions on the Cascadia Margin Using Magnetic Susceptibility CX(s) Applied: A9, B3.6 Date: 09/07/2012 Location(s): New Hampshire Offices(s): National Energy Technology Laboratory

9

Ptychographic ultrafast pulse reconstruction  

E-Print Network [OSTI]

We demonstrate a new ultrafast pulse reconstruction modality which is somewhat reminiscent of frequency resolved optical gating but uses a modified setup and a conceptually different reconstruction algorithm that is derived from ptychography. Even though it is a second order correlation scheme it shows no time ambiguity. Moreover, the number of spectra to record is considerably smaller than in most other related schemes which, together with a robust algorithm, leads to extremely fast convergence of the reconstruction.

Spangenberg, D; Brügmann, M H; Feurer, T

2014-01-01T23:59:59.000Z

10

3D heart reconstruction.  

E-Print Network [OSTI]

??The purpose of this thesis was to achieve a 3D reconstruction of the four heart chambers using 2D echocardiographic images. A level set algorithm based… (more)

Roxo, Diogo

2011-01-01T23:59:59.000Z

11

Fracture aperture reconstruction and determination of hydrological properties: a  

E-Print Network [OSTI]

Fracture aperture reconstruction and determination of hydrological properties: a case study for fracture aperture reconstruction. The rst one is a correlation technique that estimates the normal aper techniques are applied to discontinuities extracted from a core drilled down to 20 m in a fractured marl

Toussaint, Renaud

12

Review of structure representation and reconstruction on mesoscale and microscale  

SciTech Connect (OSTI)

Structure representation and reconstruction on mesoscale and microscale is critical in material design, advanced manufacturing and multiscale modeling. Microstructure reconstruction has been applied in different areas of materials science and technology, structural materials, energy materials, geology, hydrology, etc. This review summarizes the microstructure descriptors and formulations used to represent and algorithms to reconstruct structures at microscale and mesoscale. In the stochastic methods using correlation function, different optimization approaches have been adapted for objective function minimization. A variety of reconstruction approaches are compared in efficiency and accuracy.

Li, Dongsheng

2014-05-01T23:59:59.000Z

13

atomic potential reconstruction: Topics by E-print Network  

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

incomplete tomographic-like data. The proposed scheme is based on the Jaynes principle of Maximum Entropy. We apply our algorithm for a reconstruction of motional quantum states of...

14

Lagrangian reconstruction of cosmic velocity fields  

E-Print Network [OSTI]

We discuss a Lagrangian reconstruction method of the velocity field from galaxy redshift catalog that takes its root in the Euler equation. This results in a ``functional'' of the velocity field which must be minimized. This is helped by an algorithm solving the minimization of cost-flow problems. The results obtained by applying this method to cosmological problems are shown and boundary effects happening in real observational cases are then discussed. Finally, a statistical model of the errors made by the reconstruction method is proposed.

G. Lavaux

2008-01-28T23:59:59.000Z

15

Optical boundary reconstruction of tokamak plasmas for feedback control of plasma position and shape  

SciTech Connect (OSTI)

A new diagnostic is developed to reconstruct the plasma boundary using visible wavelength images. Exploiting the plasma's edge localized and toroidally symmetric emission profile, a new coordinate transform is presented to reconstruct the plasma boundary from a poloidal view image. The plasma boundary reconstruction is implemented in MATLAB and applied to camera images of Mega-Ampere Spherical Tokamak discharges. The optically reconstructed plasma boundaries are compared to magnetic reconstructions from the offline reconstruction code EFIT, showing very good qualitative and quantitative agreement. Average errors are within 2 cm and correlation is high. In the current software implementation, plasma boundary reconstruction from a single image takes 3 ms. The applicability and system requirements of the new optical boundary reconstruction, called OFIT, for use in both feedback control of plasma position and shape and in offline reconstruction tools are discussed.

Hommen, G.; Baar, M. de [Control Systems Technology Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven (Netherlands); FOM Institute for Plasma Physics ''Rijnhuizen'', Association EURATOM-FOM, Trilateral Euregio Cluster, P.O. Box 1207, 3430 BE Nieuwegein (Netherlands); Nuij, P.; Steinbuch, M. [Control Systems Technology Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven (Netherlands); McArdle, G.; Akers, R. [EURATOM/CCFE Fusion Association, Culham Science Centre, Abingdon, Oxfordshire OX14 3DB (United Kingdom)

2010-11-15T23:59:59.000Z

16

Overview of Image Reconstruction  

SciTech Connect (OSTI)

Image reconstruction (or computerized tomography, etc.) is any process whereby a function, f, on Rn is estimated from empirical data pertaining to its integrals, ∫f(x) dx, for some collection of hyperplanes of dimension k < n. The paper begins with background information on how image reconstruction problems have arisen in practice, and describes some of the application areas of past or current interest; these include radioastronomy, optics, radiology and nuclear medicine, electron microscopy, acoustical imaging, geophysical tomography, nondestructive testing, and NMR zeugmatography. Then the various reconstruction algorithms are discussed in five classes: summation, or simple back-projection; convolution, or filtered back-projection; Fourier and other functional transforms; orthogonal function series expansion; and iterative methods. Certain more technical mathematical aspects of image reconstruction are considered from the standpoint of uniqueness, consistency, and stability of solution. The paper concludes by presenting certain open problems. 73 references. (RWR)

Marr, R.B.

1980-04-01T23:59:59.000Z

17

Reconstruction algorithms for MRI  

E-Print Network [OSTI]

This dissertation presents image reconstruction algorithms for Magnetic Resonance Imaging (MRI) that aims to increase the imaging efficiency. Algorithms that reduce imaging time without sacrificing the image quality and ...

Bilgic?, Berkin

2013-01-01T23:59:59.000Z

18

Reconstructing K-essence  

E-Print Network [OSTI]

We present a model independent method of reconstructing the Lagrangian for the k-essence field driving the present acceleration of the universe. We consider the simplest k-essence model for which the potential is constant. Later we use three parametrizations for the Hubble parameter $H(z)$, consistent with the recent SN1a data, to yield the Lagrangian $F$. Our reconstruction program does not generate any physically realistic Lagrangian for models that allow phantom crossing, whereas models without phantom crossing, yield well behaved Lagrangian.

A. A. Sen

2006-02-28T23:59:59.000Z

19

Applied Science  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication Acceleration onto MeasurementsApplied

20

Simultaneous segmentation and reconstruction: A level set method approach for limited view computed tomography  

SciTech Connect (OSTI)

Purpose: An iterative tomographic reconstruction algorithm that simultaneously segments and reconstructs the reconstruction domain is proposed and applied to tomographic reconstructions from a sparse number of projection images. Methods: The proposed algorithm uses a two-phase level set method segmentation in conjunction with an iterative tomographic reconstruction to achieve simultaneous segmentation and reconstruction. The simultaneous segmentation and reconstruction is achieved by alternating between level set function evolutions and per-region intensity value updates. To deal with the limited number of projections, a priori information about the reconstruction is enforced via penalized likelihood function. Specifically, smooth function within each region (piecewise smooth function) and bounded function intensity values for each region are assumed. Such a priori information is formulated into a quadratic objective function with linear bound constraints. The level set function evolutions are achieved by artificially time evolving the level set function in the negative gradient direction; the intensity value updates are achieved by using the gradient projection conjugate gradient algorithm. Results: The proposed simultaneous segmentation and reconstruction results were compared to ''conventional'' iterative reconstruction (with no segmentation), iterative reconstruction followed by segmentation, and filtered backprojection. Improvements of 6%-13% in the normalized root mean square error were observed when the proposed algorithm was applied to simulated projections of a numerical phantom and to real fan-beam projections of the Catphan phantom, both of which did not satisfy the a priori assumptions. Conclusions: The proposed simultaneous segmentation and reconstruction resulted in improved reconstruction image quality. The algorithm correctly segments the reconstruction space into regions, preserves sharp edges between different regions, and smoothes the noise within each region. The proposed algorithm framework has the flexibility to be adapted to different a priori constraints while maintaining the benefits achieved by the simultaneous segmentation and reconstruction.

Yoon, Sungwon; Pineda, Angel R.; Fahrig, Rebecca [Department of Radiology, Stanford University, Stanford, California 94305 (United States); Department of Mathematics, California State University, Fullerton, California 92834 (United States); Department of Radiology, Stanford University, Stanford, California 94305 (United States)

2010-05-15T23:59:59.000Z

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

Hiring Reconstruction Reports  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFun withconfinement plasmas in theinPlasticsreduction . |Hiring Reconstruction

22

Metrological digital audio reconstruction  

DOE Patents [OSTI]

Audio information stored in the undulations of grooves in a medium such as a phonograph record may be reconstructed, with little or no contact, by measuring the groove shape using precision metrology methods coupled with digital image processing and numerical analysis. The effects of damage, wear, and contamination may be compensated, in many cases, through image processing and analysis methods. The speed and data handling capacity of available computing hardware make this approach practical. Two examples used a general purpose optical metrology system to study a 50 year old 78 r.p.m. phonograph record and a commercial confocal scanning probe to study a 1920's celluloid Edison cylinder. Comparisons are presented with stylus playback of the samples and with a digitally re-mastered version of an original magnetic recording. There is also a more extensive implementation of this approach, with dedicated hardware and software.

Fadeyev; Vitaliy (Berkeley, CA), Haber; Carl (Berkeley, CA)

2004-02-19T23:59:59.000Z

23

Validation of plasma shape reconstruction by Cauchy condition surface method in KSTAR  

SciTech Connect (OSTI)

Cauchy Condition Surface (CCS) method is a numerical approach to reconstruct the plasma boundary and calculate the quantities related to plasma shape using the magnetic diagnostics in real time. It has been applied to the KSTAR plasma in order to establish the plasma shape reconstruction with the high elongation of plasma shape and the large effect of eddy currents flowing in the tokamak structures for the first time. For applying the CCS calculation to the KSTAR plasma, the effects by the eddy currents and the ferromagnetic materials on the plasma shape reconstruction are studied. The CCS calculation includes the effect of eddy currents and excludes the magnetic diagnostics, which is expected to be influenced largely by ferromagnetic materials. Calculations have been performed to validate the plasma shape reconstruction in 2012 KSTAR experimental campaign. Comparison between the CCS calculation and non-magnetic measurements revealed that the CCS calculation can reconstruct the accurate plasma shape even with a small I{sub P}.

Miyata, Y.; Suzuki, T.; Ide, S. [Japan Atomic Energy Agency, Naka, Ibaraki 311-0193 (Japan)] [Japan Atomic Energy Agency, Naka, Ibaraki 311-0193 (Japan); Hahn, S. H.; Chung, J.; Bak, J. G.; Ko, W. H. [National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of)] [National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of)

2014-03-15T23:59:59.000Z

24

Method for image reconstruction of moving radionuclide source distribution  

DOE Patents [OSTI]

A method for image reconstruction of moving radionuclide distributions. Its particular embodiment is for single photon emission computed tomography (SPECT) imaging of awake animals, though its techniques are general enough to be applied to other moving radionuclide distributions as well. The invention eliminates motion and blurring artifacts for image reconstructions of moving source distributions. This opens new avenues in the area of small animal brain imaging with radiotracers, which can now be performed without the perturbing influences of anesthesia or physical restraint on the biological system.

Stolin, Alexander V.; McKisson, John E.; Lee, Seung Joon; Smith, Mark Frederick

2012-12-18T23:59:59.000Z

25

Dictionary-Learning-Based Reconstruction Method for Electron Tomography  

E-Print Network [OSTI]

Electron tomography usually suffers from so called missing wedge artifacts caused by limited tilt angle range. An equally sloped tomography (EST) acquisition scheme (which should be called the linogram sampling scheme) was recently applied to achieve 2.4-angstrom resolution. On the other hand, a compressive sensing-inspired reconstruction algorithm, known as adaptive dictionary based statistical iterative reconstruction (ADSIR), has been reported for x-ray computed tomography. In this paper, we evaluate the EST, ADSIR and an ordered-subset simultaneous algebraic reconstruction technique (OS-SART), and compare the ES and equally angled (EA) data acquisition modes. Our results show that OS-SART is comparable to EST, and the ADSIR outperforms EST and OS-SART. Furthermore, the equally sloped projection data acquisition mode has no advantage over the conventional equally angled mode in the context.

Liu, Baodong; Verbridge, Scott S; Sun, Lizhi; Wang, Ge

2013-01-01T23:59:59.000Z

26

State Space Reconstruction for Multivariate Time Series Prediction  

E-Print Network [OSTI]

In the nonlinear prediction of scalar time series, the common practice is to reconstruct the state space using time-delay embedding and apply a local model on neighborhoods of the reconstructed space. The method of false nearest neighbors is often used to estimate the embedding dimension. For prediction purposes, the optimal embedding dimension can also be estimated by some prediction error minimization criterion. We investigate the proper state space reconstruction for multivariate time series and modify the two abovementioned criteria to search for optimal embedding in the set of the variables and their delays. We pinpoint the problems that can arise in each case and compare the state space reconstructions (suggested by each of the two methods) on the predictive ability of the local model that uses each of them. Results obtained from Monte Carlo simulations on known chaotic maps revealed the non-uniqueness of optimum reconstruction in the multivariate case and showed that prediction criteria perform better when the task is prediction.

I. Vlachos; D. Kugiumtzis

2008-09-12T23:59:59.000Z

27

Rough surface reconstruction for ultrasonic NDE simulation  

SciTech Connect (OSTI)

The reflection of ultrasound from rough surfaces is an important topic for the NDE of safety-critical components, such as pressure-containing components in power stations. The specular reflection from a rough surface of a defect is normally lower than it would be from a flat surface, so it is typical to apply a safety factor in order that justification cases for inspection planning are conservative. The study of the statistics of the rough surfaces that might be expected in candidate defects according to materials and loading, and the reflections from them, can be useful to develop arguments for realistic safety factors. This paper presents a study of real rough crack surfaces that are representative of the potential defects in pressure-containing power plant. Two-dimensional (area) values of the height of the roughness have been measured and their statistics analysed. Then a means to reconstruct model cases with similar statistics, so as to enable the creation of multiple realistic realizations of the surfaces, has been investigated, using random field theory. Rough surfaces are reconstructed, based on a real surface, and results for these two-dimensional descriptions of the original surface have been compared with those from the conventional model based on a one-dimensional correlation coefficient function. In addition, ultrasonic reflections from them are simulated using a finite element method.

Choi, Wonjae; Shi, Fan; Lowe, Michael J. S. [UK Research Centre in NDE, Imperial College, London SW7 2AZ (United Kingdom); Skelton, Elizabeth A.; Craster, Richard V. [Department of Mathematics, Imperial College, London SW7 2AZ (United Kingdom)

2014-02-18T23:59:59.000Z

28

Including stereoscopic information in the reconstruction of coronal magnetic fields  

E-Print Network [OSTI]

We present a method to include stereoscopic information about the three dimensional structure of flux tubes into the reconstruction of the coronal magnetic field. Due to the low plasma beta in the corona we can assume a force free magnetic field, with the current density parallel to the magnetic field lines. Here we use linear force free fields for simplicity. The method uses the line of sight magnetic field on the photosphere as observational input. The value of $\\alpha$ is determined iteratively by comparing the reconstructed magnetic field with the observed structures. The final configuration is the optimal linear force solution constrained by both the photospheric magnetogram and the observed plasma structures. As an example we apply our method to SOHO MDI/EIT data of an active region. In the future it is planned to apply the method to analyse data from the SECCHI instrument aboard the STEREO mission.

T. Wiegelmann; T. Neukirch

2008-01-23T23:59:59.000Z

29

Noise Equivalent Counts Based Emission Image Reconstruction Algorithm of Tomographic Gamma Scanning  

E-Print Network [OSTI]

Tomographic Gamma Scanning (TGS) is a technique used to assay the nuclide distribution and radioactivity in nuclear waste drums. Both transmission and emission scans are performed in TGS and the transmission image is used for the attenuation correction in emission reconstructions. The error of the transmission image, which is not considered by the existing reconstruction algorithms, negatively affects the final results. An emission reconstruction method based on Noise Equivalent Counts (NEC) is presented. Noises from the attenuation image are concentrated to the projection data to apply the NEC Maximum-Likelihood Expectation-Maximization algorithm. Experiments are performed to verify the effectiveness of the proposed method.

Ke Wang; Zheng Li; Wei Feng; Dong Han

2014-04-17T23:59:59.000Z

30

Non-axisymmetric equilibrium reconstruction for stellarators, reversed field pinches and tokamaks  

SciTech Connect (OSTI)

Axisymmetric equilibrium reconstruction using magnetohydrodynamic equilibrium solutions to the Grad Shafranov equation has long been an important tool for interpreting tokamak experiments. This paper describes recent results in non-axisymmetric (three-dimensional) equilibrium reconstruction of nominally axisymmetric plasmas (tokamaks and reversed field pinches (RFPs)), and fully non-axisymmetric plasmas (stellarators). Results from applying the V3FIT code to CTH and HSX stellarator plasmas, RFX-mod RFP plasmas and the DIII-D tokamak are presented.

Hanson, James D. [Auburn University, Auburn, Alabama; Anderson, D.T. [University of Wisconsin, Madison; Cianciosa, M. [Auburn University, Auburn, Alabama; Franz, P. [EURATOM / ENEA, Italy; Harris, J. H. [Oak Ridge National Laboratory (ORNL); Hartwell, G. H. [Auburn University, Auburn, Alabama; Hirshman, Steven Paul [ORNL; Knowlton, Stephen F. [Auburn University, Auburn, Alabama; Lao, Lang L. [General Atomics, San Diego; Lazarus, Edward Alan [ORNL; Marrelli, L. [Association EURATOM ENEA Fusion, Consorzio RFX, Padua, Italy; Maurer, D. A. [Auburn University, Auburn, Alabama; Schmitt, J. C. [Princeton Plasma Physics Laboratory (PPPL); Sontag, A. C. [Oak Ridge National Laboratory (ORNL); Stevenson, B. A. [Auburn University, Auburn, Alabama; Terranova, D. [Association EURATOM ENEA Fusion, Consorzio RFX, Padua, Italy

2013-01-01T23:59:59.000Z

31

theoretical and applied fracture  

E-Print Network [OSTI]

theoretical and applied fracture mechanics ELSEVIER Theoretical and Applied Fracture Mechanics 00 and Applied Fracture Mechanics 00 (1995) 000-000 Recently, some European countries developed defect specific. A suitable probabilistic fracture mechanic

Cizelj, Leon

32

Applied Computer Science  

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

Computing CCS Division Applied Computer Science Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific...

33

8, 40994116, 2008 Reconstruction of the  

E-Print Network [OSTI]

ACPD 8, 4099­4116, 2008 Reconstruction of the solar UV irradiance from LYRA data T. Egorova et al.0 License. Atmospheric Chemistry and Physics Discussions Reconstruction of the solar spectral UV irradiance on behalf of the European Geosciences Union. 4099 #12;ACPD 8, 4099­4116, 2008 Reconstruction of the solar UV

Boyer, Edmond

34

Velocity and charge reconstruction with the AMS/RICH detector  

E-Print Network [OSTI]

The Alpha Magnetic Spectrometer (AMS), to be installed on the International Space Station (ISS) in 2008, will be equipped with a proximity focusing Ring Imaging CHerenkov detector (RICH). This detector will be equipped with a dual radiator (aerogel+NaF), a lateral conical mirror and a detection plane made of 680 photomultipliers and light-guides, enabling measurements of particle electric charge and velocity. A likelihood method for the Cherenkov angle reconstruction was applied leading to a velocity determination for protons with a resolution around 0.1%. The electric charge reconstruction is based on the counting of the number of photoelectrons and on an overall efficiency estimation on an event-by-event basis. Results from the application of both methods are presented.

Arruda, Luísa; Borges, João; Carmo, Fernando; Gonçalves, Patrícia; Pimenta, Mário

2008-01-01T23:59:59.000Z

35

Reconstructing the projected gravitational potential of Abell 1689 from X-ray measurements  

E-Print Network [OSTI]

Context. Galaxy clusters can be used as cosmological probes, but to this end, they need to be thoroughly understood. Combining all cluster observables in a consistent way will help us to understand their global properties and their internal structure. Aims. We provide proof of the concept that the projected gravitational potential of galaxy clusters can directly be reconstructed from X-ray observations. We also show that this joint analysis can be used to locally test the validity of the equilibrium assumptions in galaxy clusters. Methods. We used a newly developed reconstruction method, based on Richardson-Lucy deprojection, that allows reconstructing projected gravitational potentials of galaxy clusters directly from X-ray observations. We applied this algorithm to the well-studied cluster Abell 1689 and compared the gravitational potential reconstructed from X-ray observables to the potential obtained from gravitational lensing measurements. [...] Results. Assuming spherical symmetry and hydrostatic equili...

Tchernin, Celine; Meyer, Sven; Sarli, Eleonora; Eckert, Dominique; Bartelmann, Matthias

2015-01-01T23:59:59.000Z

36

POSITION OPENING APPLIED STATISTICS  

E-Print Network [OSTI]

: Assistant or Associate Professor of Applied Statistics. Employment Beginning: September 16, 2012 DescriptionPOSITION OPENING APPLIED STATISTICS Department of Decision Sciences Charles H. Lundquist College at the University of Oregon is seeking to fill one tenure-track faculty position in Applied Statistics. Rank

Shepp, Larry

37

Method for position emission mammography image reconstruction  

DOE Patents [OSTI]

An image reconstruction method comprising accepting coincidence datat from either a data file or in real time from a pair of detector heads, culling event data that is outside a desired energy range, optionally saving the desired data for each detector position or for each pair of detector pixels on the two detector heads, and then reconstructing the image either by backprojection image reconstruction or by iterative image reconstruction. In the backprojection image reconstruction mode, rays are traced between centers of lines of response (LOR's), counts are then either allocated by nearest pixel interpolation or allocated by an overlap method and then corrected for geometric effects and attenuation and the data file updated. If the iterative image reconstruction option is selected, one implementation is to compute a grid Siddon retracing, and to perform maximum likelihood expectation maiximization (MLEM) computed by either: a) tracing parallel rays between subpixels on opposite detector heads; or b) tracing rays between randomized endpoint locations on opposite detector heads.

Smith, Mark Frederick

2004-10-12T23:59:59.000Z

38

Hanford Environmental Dose Reconstruction Project  

SciTech Connect (OSTI)

The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is being managed and conducted by the Battelle Pacific Northwest Laboratories under contract with the Centers for Disease Control. The independent Technical Steering Panel (TSP) provides technical direction. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): source terms; environmental transport; environmental monitoring data; demography, food consumption, and agriculture; environmental pathways and dose estimates.

Finch, S.M.; McMakin, A.H. (comps.)

1992-06-01T23:59:59.000Z

39

Applied quantum mechanics 1 Applied Quantum Mechanics  

E-Print Network [OSTI]

that describe the time-dependent state . If can be expressed as a power series in the perturbing potential of a one dimensional har- monic oscillator. At time t = 0 a perturbation is applied where V0-dimensional rectangular potential well for which in the range and elsewhere. It is decided to control the state

Levi, Anthony F. J.

40

Circuit reconstruction tools today Stephen J Smith  

E-Print Network [OSTI]

Circuit reconstruction tools today Stephen J Smith To understand how a brain processes information, Stanford University School of Medicine, Stanford, CA 94305, United States Corresponding author: Smith

Born, Richard

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

The Applied Mathematics for Power Systems (AMPS)  

SciTech Connect (OSTI)

Increased deployment of new technologies, e.g., renewable generation and electric vehicles, is rapidly transforming electrical power networks by crossing previously distinct spatiotemporal scales and invalidating many traditional approaches for designing, analyzing, and operating power grids. This trend is expected to accelerate over the coming years, bringing the disruptive challenge of complexity, but also opportunities to deliver unprecedented efficiency and reliability. Our Applied Mathematics for Power Systems (AMPS) Center will discover, enable, and solve emerging mathematics challenges arising in power systems and, more generally, in complex engineered networks. We will develop foundational applied mathematics resulting in rigorous algorithms and simulation toolboxes for modern and future engineered networks. The AMPS Center deconstruction/reconstruction approach 'deconstructs' complex networks into sub-problems within non-separable spatiotemporal scales, a missing step in 20th century modeling of engineered networks. These sub-problems are addressed within the appropriate AMPS foundational pillar - complex systems, control theory, and optimization theory - and merged or 'reconstructed' at their boundaries into more general mathematical descriptions of complex engineered networks where important new questions are formulated and attacked. These two steps, iterated multiple times, will bridge the growing chasm between the legacy power grid and its future as a complex engineered network.

Chertkov, Michael [Los Alamos National Laboratory

2012-07-24T23:59:59.000Z

42

Improvement in Fast Particle Track Reconstruction with Robust Statistics  

E-Print Network [OSTI]

The IceCube project has transformed one cubic kilometer of deep natural Antarctic ice into a Cherenkov detector. Muon neutrinos are detected and their direction inferred by mapping the light produced by the secondary muon track inside the volume instrumented with photomultipliers. Reconstructing the muon track from the observed light is challenging due to noise, light scattering in the ice medium, and the possibility of simultaneously having multiple muons inside the detector, resulting from the large flux of cosmic ray muons. This manuscript describes work on two problems: (1) the track reconstruction problem, in which, given a set of observations, the goal is to recover the track of a muon; and (2) the coincident event problem, which is to determine how many muons are active in the detector during a time window. Rather than solving these problems by developing more complex physical models that are applied at later stages of the analysis, our approach is to augment the detectors early reconstruction with dat...

Aartsen, M G; Abdou, Y; Ackermann, M; Adams, J; Aguilar, J A; Ahlers, M; Altmann, D; Auffenberg, J; Bai, X; Baker, M; Barwick, S W; Baum, V; Bay, R; Beatty, J J; Bechet, S; Tjus, J Becker; Becker, K -H; Benabderrahmane, M L; BenZvi, S; Berghaus, P; Berley, D; Bernardini, E; Bernhard, A; Besson, D Z; Binder, G; Bindig, D; Bissok, M; Blaufuss, E; Blumenthal, J; Boersma, D J; Bohaichuk, S; Bohm, C; Bose, D; Böser, S; Botner, O; Brayeur, L; Bretz, H -P; Brown, A M; Bruijn, R; Brunner, J; Carson, M; Casey, J; Casier, M; Chirkin, D; Christov, A; Christy, B; Clark, K; Clevermann, F; Coenders, S; Cohen, S; Cowen, D F; Silva, A H Cruz; Danninger, M; Daughhetee, J; Davis, J C; Day, M; De Clercq, C; De Ridder, S; Desiati, P; de Vries, K D; de With, M; DeYoung, T; Díaz-Vélez, J C; Dunkman, M; Eagan, R; Eberhardt, B; Eisch, J; Euler, S; Evenson, P A; Fadiran, O; Fazely, A R; Fedynitch, A; Feintzeig, J; Feusels, T; Filimonov, K; Finley, C; Fischer-Wasels, T; Flis, S; Franckowiak, A; Frantzen, K; Fuchs, T; Gaisser, T K; Gallagher, J; Gerhardt, L; Gladstone, L; Glüsenkamp, T; Goldschmidt, A; Golup, G; Gonzalez, J G; Goodman, J A; Góra, D; Grandmont, D T; Grant, D; Groß, A; Ha, C; Ismail, A Haj; Hallen, P; Hallgren, A; Halzen, F; Hanson, K; Heereman, D; Heinen, D; Helbing, K; Hellauer, R; Hickford, S; Hill, G C; Hoffman, K D; Hoffmann, R; Homeier, A; Hoshina, K; Huelsnitz, W; Hulth, P O; Hultqvist, K; Hussain, S; Ishihara, A; Jacobi, E; Jacobsen, J; Jagielski, K; Japaridze, G S; Jero, K; Jlelati, O; Kaminsky, B; Kappes, A; Karg, T; Karle, A; Kelley, J L; Kiryluk, J; Kläs, J; Klein, S R; Köhne, J -H; Kohnen, G; Kolanoski, H; Köpke, L; Kopper, C; Kopper, S; Koskinen, D J; Kowalski, M; Krasberg, M; Krings, K; Kroll, G; Kunnen, J; Kurahashi, N; Kuwabara, T; Labare, M; Landsman, H; Larson, M J; Lesiak-Bzdak, M; Leuermann, M; Leute, J; Lünemann, J; Macías, O; Madsen, J; Maggi, G; Maruyama, R; Mase, K; Matis, H S; McNally, F; Meagher, K; Merck, M; Meures, T; Miarecki, S; Middell, E; Milke, N; Miller, J; Mohrmann, L; Montaruli, T; Morse, R; Nahnhauer, R; Naumann, U; Niederhausen, H; Nowicki, S C; Nygren, D R; Obertacke, A; Odrowski, S; Olivas, A; Omairat, A; O'Murchadha, A; Paul, L; Pepper, J A; Heros, C Pérez de los; Pfendner, C; Pieloth, D; Pinat, E; Posselt, J; Price, P B; Przybylski, G T; Rädel, L; Rameez, M; Rawlins, K; Redl, P; Reimann, R; Resconi, E; Rhode, W; Ribordy, M; Richman, M; Riedel, B; Rodrigues, J P; Rott, C; Ruhe, T; Ruzybayev, B; Ryckbosch, D; Saba, S M; Salameh, T; Sander, H -G; Santander, M; Sarkar, S; Schatto, K; Scheriau, F; Schmidt, T; Schmitz, M; Schoenen, S; Schöneberg, S; Schönwald, A; Schukraft, A; Schulte, L; Schulz, O; Seckel, D; Sestayo, Y; Seunarine, S; Shanidze, R; Sheremata, C; Smith, M W E; Soldin, D; Spiczak, G M; Spiering, C; Stamatikos, M; Stanev, T; Stanisha, N A; Stasik, A; Stezelberger, T; Stokstad, R G; Stößl, A; Strahler, E A; Ström, R; Sullivan, G W; Taavola, H; Taboada, I; Tamburro, A; Tepe, A; Ter-Antonyan, S; Teši?, G; Tilav, S; Toale, P A; Toscano, S; Unger, E; Usner, M; Vallecorsa, S; van Eijndhoven, N; Van Overloop, A; van Santen, J; Vehring, M; Voge, M; Vraeghe, M; Walck, C; Waldenmaier, T; Wallraff, M; Weaver, Ch; Wellons, M; Wendt, C; Westerhoff, S; Whitehorn, N; Wiebe, K; Wiebusch, C H; Williams, D R; Wissing, H; Wolf, M; Wood, T R; Woschnagg, K; Xu, D L; Xu, X W; Yanez, J P; Yodh, G; Yoshida, S; Zarzhitsky, P; Ziemann, J; Zierke, S; Zoll, M

2013-01-01T23:59:59.000Z

43

Apply early! Limited enrollment.  

E-Print Network [OSTI]

volcano. Experience the culture and history of Hawaii, and the impact of human activitiesApply early! Limited enrollment. Environmental Science in the Hawaiian Islands Observe, research

44

Applied Computer Science  

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

Science and Innovation Computing CCS Division CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable...

45

Analytical Chemistry Applied Mathematics  

E-Print Network [OSTI]

Analytical Chemistry Applied Mathematics Architectural Engineering Architecture Architecture Electricity Markets Environmental Engineering Food Process Engineering Food Safety & Technology Architecture Information Technology & Management Integrated Building Delivery Landscape Architecture Management

Heller, Barbara

46

How To Apply  

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

CSCEEE undergraduate students are encouraged to apply. Required Materials Current Resume Official University Transcript (with spring courses posted andor a copy of Spring...

47

Applied Geosciences Links  

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

Applied Geosciencs Links USGS Mercury Research Uniteds States Geological Survey (USGS) investigations provide information to guide environmental planning and management. This...

48

Dynamic Surface Reconstruction from 4D-MR Images Matthias Fenchel1  

E-Print Network [OSTI]

Dynamic Surface Reconstruction from 4D-MR Images Matthias Fenchel1 , Stefan Gumhold2 , Hans approach is applied to 4D-MR images of a human heart in motion. 1 Introduction Image segmentation-Peter Seidel3 1 Siemens AG Medical Solutions, Magnetic Resonance, Karl-Schall-Str. 4, 91052 Erlangen 2 TU

Gumhold, Stefan

49

Reconstruction and Restoration of PET Images.  

E-Print Network [OSTI]

Reconstruction and Restoration of PET Images. Ph.D. Thesis Peter Alshede Philipsen LYNGBY 1998 IMM with reconstruction and restoration of Positron Emission Tomography (PET) images carried out at the Section of Digital contains a short introduction to PET imaging. The second part, chapters 2 to 4, describe the PET scanner

Mosegaard, Klaus

50

Fast Globally Convergent Reconstruction in Emission Tomography  

E-Print Network [OSTI]

considerable speedup by using only a subset of the projection data per sub- iteration. However, OSEM1 Fast Globally Convergent Reconstruction in Emission Tomography Using COSEM, an Incremental EM globally convergent incremental EM algorithms for reconstruction in emission tomography, COSEM- ML

Rangarajan, Anand

51

Cavity Field Reconstruction at Finite Temperature  

E-Print Network [OSTI]

We present a scheme to reconstruct the quantum state of a field preparedinside a lossy cavity at finite temperature. Quantum coherences are normallydestroyed by the interaction with an environment, but we show that it ispossible to recover complete information about the initial state (beforeinteraction with its environment), making possible to reconstruct any$s$-parametrized quasiprobability distribution, in particular, the Wignerfunction.

Moya-Cessa, H; Tombesi, P; Roversi, J A

2000-01-01T23:59:59.000Z

52

Spectrum Sensing and Reconstruction for Cognitive Radio  

E-Print Network [OSTI]

Spectrum Sensing and Reconstruction for Cognitive Radio Amanpreet S Saini, Zhen Hu, Robert Qiu with spectrum sensing and spectrum reconstruction under the umbrella of cognitive radio which is the smart radio to explore and exploit the free spectrum. Spectrum analyzer is used to emulate cognitive radio to do spectrum

Qiu, Robert Caiming

53

Reconstruction of nonlinear wave propagation  

DOE Patents [OSTI]

Disclosed are systems and methods for characterizing a nonlinear propagation environment by numerically propagating a measured output waveform resulting from a known input waveform. The numerical propagation reconstructs the input waveform, and in the process, the nonlinear environment is characterized. In certain embodiments, knowledge of the characterized nonlinear environment facilitates determination of an unknown input based on a measured output. Similarly, knowledge of the characterized nonlinear environment also facilitates formation of a desired output based on a configurable input. In both situations, the input thus characterized and the output thus obtained include features that would normally be lost in linear propagations. Such features can include evanescent waves and peripheral waves, such that an image thus obtained are inherently wide-angle, farfield form of microscopy.

Fleischer, Jason W; Barsi, Christopher; Wan, Wenjie

2013-04-23T23:59:59.000Z

54

Binary reconstruction of the heart chambers from biplane angiographic image sequences  

SciTech Connect (OSTI)

The aim of this work is the three-dimensional (3-D) reconstruction of the left or right heart chamber from digital biplane angiograms. The approach used, the binary reconstruction, exploits the density information of subtracted ventriculograms from two orthogonal views in addition to the ventricular contours. The ambiguity of the problem is largely reduced by incorporating a priori knowledge of human ventricles. A model-based reconstruction program is described that is applicable to routinely acquired biplane ventriculographic studies. Prior to reconstruction, several geometric and densitometric imaging errors are corrected. The finding of corresponding density profiles and anatomical landmarks is supported by a biplane image pairing procedure that takes the movement of the gantry system into account. Absolute measurements are based on geometric isocenter calibration and a slice-wise density calibration technique. The reconstructed ventricles allow 3-D visualization and regional wall motion analysis independently of the gantry setting. The method is applied to clinical angiograms and tested in left- and right-ventricular phantoms yielding a well shape conformity even with few model information. The results indicate that volumes of binary reconstructed ventricles are less projection-dependent compared to volume data derived by purely contour-based methods. A limitations is that the heart chamber must not be superimposed by other dye-filled structures in both projections.

Prause, G.P.M.; Onnasch, D.G.W. [Univ. of Kiel (Germany). Clinic of Pediatric Cardiology] [Univ. of Kiel (Germany). Clinic of Pediatric Cardiology

1996-08-01T23:59:59.000Z

55

advanced surface reconstruction: Topics by E-print Network  

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

adaptation of Neural Gas (NG) for reconstructing 3D- surfaces from point clouds. NG Zachmann, Gabriel 78 An Algebraic Approach to Surface Reconstruction from Gradient Fields Amit...

56

ancestral state reconstruction: Topics by E-print Network  

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

state is close to the true global state. We call the entropy of our reconstructed maximum entropy state the "reconstruction entropy", and we discuss its relation to...

57

AEROSPACE SCIENCES Applied aerodynamics  

E-Print Network [OSTI]

AEROSPACE SCIENCES Applied aerodynamics This year saw significant progress in industry, research labs, and academia in the development of flow-control concepts, novel configuration aerodynamic concepts, and aerodynamic im- provement technologies for enhancing the fuel efficiency and performance

Xu, Kun

58

Engineering and Applied  

E-Print Network [OSTI]

> Computer Science > Electrical, Computer, and Energy Engineering > Mechanical Engineering 11, Computational Science and Engineering, Energy Systems and Environmental Sustainability, Materials ScienceCollege of Engineering and Applied Science Contact Robert H. Davis, Engineering Dean 303

Stowell, Michael

59

Cardiac C-arm computed tomography using a 3D + time ROI reconstruction method with spatial and temporal regularization  

SciTech Connect (OSTI)

Purpose: Reconstruction of the beating heart in 3D + time in the catheter laboratory using only the available C-arm system would improve diagnosis, guidance, device sizing, and outcome control for intracardiac interventions, e.g., electrophysiology, valvular disease treatment, structural or congenital heart disease. To obtain such a reconstruction, the patient's electrocardiogram (ECG) must be recorded during the acquisition and used in the reconstruction. In this paper, the authors present a 4D reconstruction method aiming to reconstruct the heart from a single sweep 10 s acquisition. Methods: The authors introduce the 4D RecOnstructiOn using Spatial and TEmporal Regularization (short 4D ROOSTER) method, which reconstructs all cardiac phases at once, as a 3D + time volume. The algorithm alternates between a reconstruction step based on conjugate gradient and four regularization steps: enforcing positivity, averaging along time outside a motion mask that contains the heart and vessels, 3D spatial total variation minimization, and 1D temporal total variation minimization. Results: 4D ROOSTER recovers the different temporal representations of a moving Shepp and Logan phantom, and outperforms both ECG-gated simultaneous algebraic reconstruction technique and prior image constrained compressed sensing on a clinical case. It generates 3D + time reconstructions with sharp edges which can be used, for example, to estimate the patient's left ventricular ejection fraction. Conclusions: 4D ROOSTER can be applied for human cardiac C-arm CT, and potentially in other dynamic tomography areas. It can easily be adapted to other problems as regularization is decoupled from projection and back projection.

Mory, Cyril, E-mail: cyril.mory@philips.com [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France); Philips Research Medisys, 33 rue de Verdun, 92156 Suresnes (France); Auvray, Vincent; Zhang, Bo [Philips Research Medisys, 33 rue de Verdun, 92156 Suresnes (France)] [Philips Research Medisys, 33 rue de Verdun, 92156 Suresnes (France); Grass, Michael; Schäfer, Dirk [Philips Research, Röntgenstrasse 24–26, D-22335 Hamburg (Germany)] [Philips Research, Röntgenstrasse 24–26, D-22335 Hamburg (Germany); Chen, S. James; Carroll, John D. [Department of Medicine, Division of Cardiology, University of Colorado Denver, 12605 East 16th Avenue, Aurora, Colorado 80045 (United States)] [Department of Medicine, Division of Cardiology, University of Colorado Denver, 12605 East 16th Avenue, Aurora, Colorado 80045 (United States); Rit, Simon [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France); Université Lyon 1 (France); Centre Léon Bérard, 28 rue Laënnec, F-69373 Lyon (France); Peyrin, Françoise [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France); X-ray Imaging Group, European Synchrotron, Radiation Facility, BP 220, F-38043 Grenoble Cedex (France); Douek, Philippe; Boussel, Loïc [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France); Université Lyon 1 (France); Hospices Civils de Lyon, 28 Avenue du Doyen Jean Lépine, 69500 Bron (France)

2014-02-15T23:59:59.000Z

60

Precision Muon Reconstruction in Double Chooz  

E-Print Network [OSTI]

We describe a muon track reconstruction algorithm for the reactor anti-neutrino experiment Double Chooz. The Double Chooz detector consists of two optically isolated volumes of liquid scintillator viewed by PMTs, and an Outer Veto above these made of crossed scintillator strips. Muons are reconstructed by their Outer Veto hit positions along with timing information from the other two detector volumes. All muons are fit under the hypothesis that they are through-going and ultrarelativistic. If the energy depositions suggest that the muon may have stopped, the reconstruction fits also for this hypothesis and chooses between the two via the relative goodness-of-fit. In the ideal case of a through-going muon intersecting the center of the detector, the resolution is ~40 mm in each transverse dimension. High quality muon reconstruction is an important tool for reducing the impact of the cosmogenic isotope background in Double Chooz.

Double Chooz collaboration; Y. Abe; J. C. dos Anjos; J. C. Barriere; E. Baussan; I. Bekman; M. Bergevin; T. J. C. Bezerra; L. Bezrukov; E. Blucher; C. Buck; J. Busenitz; A. Cabrera; E. Caden; L. Camilleri; R. Carr; M. Cerrada; P. -J. Chang; E. Chauveau; P. Chimenti; A. P. Collin; E. Conover; J. M. Conrad; J. I. Crespo-Anadón; K. Crum; A. Cucoanes; E. Damon; J. V. Dawson; D. Dietrich; Z. Djurcic; M. Dracos; M. Elnimr; A. Etenko; M. Fallot; F. von Feilitzsch; J. Felde; S. M. Fernandes; V. Fischer; D. Franco; M. Franke; H. Furuta; I. Gil-Botella; L. Giot; M. Göger-Neff; L. F. G. Gonzalez; L. Goodenough; M. C. Goodman; C. Grant; N. Haag; T. Hara; J. Haser; M. Hofmann; G. A. Horton-Smith; A. Hourlier; M. Ishitsuka; J. Jochum; C. Jollet; F. Kaether; L. N. Kalousis; Y. Kamyshkov; D. M. Kaplan; T. Kawasaki; E. Kemp; H. de Kerret; D. Kryn; M. Kuze; T. Lachenmaier; C. E. Lane; T. Lasserre; A. Letourneau; D. Lhuillier; H. P. Lima Jr; M. Lindner; J. M. López-Casta no; J. M. LoSecco; B. Lubsandorzhiev; S. Lucht; J. Maeda; C. Mariani; J. Maricic; J. Martino; T. Matsubara; G. Mention; A. Meregaglia; T. Miletic; R. Milincic; A. Minotti; Y. Nagasaka; Y. Nikitenko; P. Novella; M. Obolensky; L. Oberauer; A. Onillon; A. Osborn; C. Palomares; I. M. Pepe; S. Perasso; P. Pfahler; A. Porta; G. Pronost; J. Reichenbacher; B. Reinhold; M. Röhling; R. Roncin; S. Roth; B. Rybolt; Y. Sakamoto; R. Santorelli; A. C. Schilithz; S. Schönert; S. Schoppmann; M. H. Shaevitz; R. Sharankova; S. Shimojima; V. Sibille; V. Sinev; M. Skorokhvatov; E. Smith; J. Spitz; A. Stahl; I. Stancu; L. F. F. Stokes; M. Strait; A. Stüken; F. Suekane; S. Sukhotin; T. Sumiyoshi; Y. Sun; R. Svoboda; K. Terao; A. Tonazzo; H. H. Trinh Thi; G. Valdiviesso; N. Vassilopoulos; C. Veyssiere; M. Vivier; S. Wagner; H. Watanabe; C. Wiebusch; L. Winslow; M. Wurm; G. Yang; F. Yermia; V. Zimmer

2014-08-15T23:59:59.000Z

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

Parallel Lumigraph Reconstruction PeterPike Sloan  

E-Print Network [OSTI]

Lake City, UT 84112 hansen@cs.utah.edu Abstract This paper presents three techniques for reconstructing/1056 Redmond WA 98052 ppsloan@microsoft.com Charles Hansen Dept of Computer Science University of Utah Salt

Utah, University of

62

Apply for Beamtime  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone by E-mailRadioimmunotherapy ofevolvedAppliedApply for Beam

63

SUSTAINABILITY WHO CAN APPLY  

E-Print Network [OSTI]

FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting

64

Optimized profile extraction and three dimensional reconstruction techniques applied to bubble shapes  

E-Print Network [OSTI]

(2001)5 and Javier Ortiz (1999)4. The two SIV cameras are placed at right angles to each other. The angle between the horizontal axes of the PIV and SIV cameras is 120 degrees. Two light emitting diode panels provide the illumination for the SIV...

Vasudevamurthy, Gokul

2004-09-30T23:59:59.000Z

65

Jet Reconstruction in Heavy Ion Collisions  

E-Print Network [OSTI]

Measurements of strong suppression of inclusive hadron distributions and di-hadron correlations at high $p_{T}$, while providing evidence for partonic energy loss, also suffer from geometric biases due to the competition of energy loss and fragmentation. The measurements of fully reconstructed jets is expected to lack these biases as the energy flow is measured independently of the fragmentation details. In this article, we review the recent results from the heavy ion collisions collected by the STAR experiment at RHIC on direct jet reconstruction utilizing the modern sequential recombination and cone jet reconstruction algorithms together with their background subtraction techniques. In order to assess the jet reconstruction biases a comparison with the jet cross section measurement in $\\sqrt{s}=200$ GeV p+p collisions scaled by the number of binary nucleon-nucleon collisions to account for nuclear geometric effects is performed. Comparison of the inclusive jet cross section obtained in central Au+Au events with that in $p+p$ collisions, published previously by STAR, suggests that unbiased jet reconstruction in the complex heavy ion environment indeed may be possible.

Sevil Salur

2009-05-12T23:59:59.000Z

66

Multi-threaded Event Reconstruction with JANA  

SciTech Connect (OSTI)

The C++ reconstruction framework JANA has been written to support the next generation of Nuclear Physics experiments at Jefferson Lab in anticipation of the 12GeV upgrade. The JANA framework was designed to allow multi-threaded event processing with a minimal impact on developers of reconstruction software. As we enter the multi-core (and soon many-core) era, thread-enabled code will become essential to utilizing the full processor power available without invoking the logistical overhead of managing many individual processes. Event-based reconstruction lends itself naturally to mutli-threaded processing. Emphasis will be placed on the multi-threading features of the framework. Test results of the scaling of event processing rates with number of threads are presented.

David Lawrence

2007-09-01T23:59:59.000Z

67

Robust statistical reconstruction for charged particle tomography  

DOE Patents [OSTI]

Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

2013-10-08T23:59:59.000Z

68

Effect of electronic reconstruction on cuprate-manganite spin switches.  

SciTech Connect (OSTI)

We examine the anomalous inverse spin switch behavior in La{sub 0.7}Ca{sub 0.3}MnO{sub 3}(LCMO)/YBa{sub 2}Cu{sub 3}O{sub 7-{delta}} (YBCO)/LCMO trilayers by combined transport studies and polarized neutron reflectometry. Measuring magnetization profiles and magnetoresistance in an in-plane rotating magnetic field, we prove that, contrary to many accepted theoretical scenarios, the relative orientation between the two LCMO's magnetizations is not sufficient to determine the magnetoresistance. Rather the field dependence of magnetoresistance is explained by the interplay between the applied magnetic field and the (exponential tail of the) induced exchange field in YBCO, the latter originating from the electronic reconstruction at the LCMO/YBCO interfaces.

Liu, Y.; Visani, C.; Nemes, N. M.; Fitzsimmons, M. R.; Zhu, L. Y.; Tornos, J.; Zhernenkov, M.; Hoffmann, A.; Leon, C.; Santamaria, J.; te Velthuis, S. G. E. (Materials Science Division); (Universidad Complutense de Madrid); (LANL)

2012-01-01T23:59:59.000Z

69

Iterative Self-Dual Reconstruction on Radar Image Recovery  

SciTech Connect (OSTI)

Imaging systems as ultrasound, sonar, laser and synthetic aperture radar (SAR) are subjected to speckle noise during image acquisition. Before analyzing these images, it is often necessary to remove the speckle noise using filters. We combine properties of two mathematical morphology filters with speckle statistics to propose a signal-dependent noise filter to multiplicative noise. We describe a multiscale scheme that preserves sharp edges while it smooths homogeneous areas, by combining local statistics with two mathematical morphology filters: the alternating sequential and the self-dual reconstruction algorithms. The experimental results show that the proposed approach is less sensitive to varying window sizes when applied to simulated and real SAR images in comparison with standard filters.

Martins, Charles; Medeiros, Fatima; Ushizima, Daniela; Bezerra, Francisco; Marques, Regis; Mascarenhas, Nelson

2010-05-21T23:59:59.000Z

70

The AMS-RICH velocity and charge reconstruction  

E-Print Network [OSTI]

The AMS detector, to be installed on the International Space Station, includes a Ring Imaging Cerenkov detector with two different radiators, silica aerogel (n=1.05) and sodium fluoride (n=1.334). This detector is designed to provide very precise measurements of velocity and electric charge in a wide range of cosmic nuclei energies and atomic numbers. The detector geometry, in particular the presence of a reflector for acceptance purposes, leads to complex Cerenkov patterns detected in a pixelized photomultiplier matrix. The results of different reconstruction methods applied to test beam data as well as to simulated samples are presented. To ensure nominal performances throughout the flight, several detector parameters have to be carefully monitored. The algorithms developed to fulfill these requirements are presented. The velocity and charge measurements provided by the RICH detector endow the AMS spectrometer with precise particle identification capabilities in a wide energy range. The expected performance...

Barão, F; Arruda, L; Baret, B; Barrau, A; Barreira, G; Belmont, E; Berdugo, J; Borges, J; Buénerd, M; Casadei, D; Casaus, J; Cortina, E; Costado, M; Crespo, D; Delgado, C; Díaz, C; Derome, L; Gonçalves, P; Garcia-Lopez, R; de la Guia, C; Herrero, A; Lanciotti, E; Laurenti, G; Malinin, A; Maña, C; Marin, J; Mangin-Brinet, M; Martínez, G; Menchaca-Rocha, A; Palomares, C; Pereira, R; Pimenta, M; Putze, A; Sallaz-Damaz, Y; Seo, E S; Sevilla, I; Torrento, A; Vargas-Trevino, M; Veziant, O

2007-01-01T23:59:59.000Z

71

The AMS-RICH velocity and charge reconstruction  

E-Print Network [OSTI]

The AMS detector, to be installed on the International Space Station, includes a Ring Imaging Cerenkov detector with two different radiators, silica aerogel (n=1.05) and sodium fluoride (n=1.334). This detector is designed to provide very precise measurements of velocity and electric charge in a wide range of cosmic nuclei energies and atomic numbers. The detector geometry, in particular the presence of a reflector for acceptance purposes, leads to complex Cerenkov patterns detected in a pixelized photomultiplier matrix. The results of different reconstruction methods applied to test beam data as well as to simulated samples are presented. To ensure nominal performances throughout the flight, several detector parameters have to be carefully monitored. The algorithms developed to fulfill these requirements are presented. The velocity and charge measurements provided by the RICH detector endow the AMS spectrometer with precise particle identification capabilities in a wide energy range. The expected performances on light isotope separation are discussed.

F. Barao; M. Aguilar-Benitez; L. Arruda; B. Baret; A. Barrau; G. Barreira; E. Belmont; J. Berdugo; J. Borges; M. Buenerd; D. Casadei; J. Casaus; E. Cortina; M. Costado; D. Crespo; C. Delgado; C. Diaz; L. Derome; P. Goncalves; R. Garcia-Lopez; C. de la Guia; A. Herrero; E. Lanciotti; G. Laurenti; A. Malinin; C. Mana; J. Marin; M. Mangin-Brinet; G. Martinez; A. Menchaca-Rocha; C. Palomares; R. Pereira; M. Pimenta; A. Putze; Y. Sallaz-Damaz; E. S. Seo; I. Sevilla; A. Torrento; M. Vargas-Trevino; O. Veziant

2007-09-13T23:59:59.000Z

72

Apply for Beamtime  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication Acceleration ontoInstrumentationApply for

73

Applied Science/Techniques  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone by E-mailRadioimmunotherapy ofevolvedApplied Science/Techniques

74

Kinematics of ICMEs/shocks: blast wave reconstruction using type II emissions  

E-Print Network [OSTI]

We present a physical methodology to reconstruct the trajectory of interplanetary shocks using type II radio emission data. This technique calculates the shock trajectory assuming that the disturbance propagates as a blast wave in the interplanetary medium. We applied this Blast Wave Reconstruction (BWR) technique to analyze eight fast Earth-directed ICMEs/shocks associated with type II emissions. The technique deduces a shock trajectory that reproduces the type II frequency drifts, and calculates shock onset speed, shock transit time and shock speed at 1~AU. There were good agreements comparing the BWR results with the type II spectra, with data from coronagraph images, {\\it in situ} measurements, and interplanetary scintillation (IPS) observations. Perturbations on the type II data affect the accuracy of the BWR technique. This methodology could be applied to track interplanetary shocks causing TII emissions in real-time, to predict the shock arrival time and shock speed at 1~AU.

Corona-Romero, P; Aguilar-Rodriguez, E; de-la-Luz, V; Mejia-Ambriz, J C

2015-01-01T23:59:59.000Z

75

CX-011250: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011250: Categorical Exclusion Determination Transforming Photovoltaic Installations Toward Dispatchable, Schedulable Energy Solutions CX(s) Applied:...

76

Curvature Minimization for Surface Reconstruction with Features  

E-Print Network [OSTI]

Sciences, Nanyang Technological University, Singapore 637371. {shij0004,wanm0003}@e.ntu.edu.sg, {xctai,desheng}@ntu indicate the robustness and effectiveness of the method. 1 Introduction Reconstructing a surface from in [35] and its variants prove the effectiveness of this methodology. The most popular regularization #12

Soatto, Stefano

77

Kuwaiti reconstruction project unprecedented in size, complexity  

SciTech Connect (OSTI)

There had been no challenge like it: a desert emirate ablaze; its main city sacked; the economically crucial oil industry devastated; countryside shrouded in smoke from oil well fires and littered with unexploded ordnance, disabled military equipment, and unignited crude oil. Like the well-documented effort that brought 749 burning wells under control in less than 7 months, Kuwaiti reconstruction had no precedent. Unlike the firefight, reconstruction is no-where complete. It nevertheless has placed two of three refineries back on stream, restored oil production to preinvasion levels, and repaired or rebuilt 17 of 26 oil field gathering stations. Most of the progress has come since the last well fire went out on Nov. 6, 1991. Expatriates in Kuwait since the days of Al-Awda- the return,' in Arabic- attribute much of the rapid progress under Al-Tameer- the reconstruction'- to decisions and preparations made while the well fires still raged. The article describes the planning for Al-Awda, reentering the country, drilling plans, facilities reconstruction, and special problems.

Tippee, B.

1993-03-15T23:59:59.000Z

78

Wood River Levee Reconstruction, Madison County, IL  

E-Print Network [OSTI]

Wood River Levee Reconstruction, Madison County, IL 25 October 2006 Abstract: The recommended plan provides for flood damage reduction and restores the original degree of protection of the Wood River Levee-federal sponsor is the Wood River Drainage and Levee District. The Wood River Levee System was authorized

US Army Corps of Engineers

79

Money Reconstructed: Argentina and Brazil after Hyperinflation  

E-Print Network [OSTI]

Money Reconstructed: Argentina and Brazil after Hyperinflation Jérôme Sgard (Sciences Po / CERI and transferred on alternate supports--either a foreign currency (as in Argentina) or domestic indices (as empirical material and an extended analytical discussion. Keywords: Argentina, Brazil, hyperinflation

Paris-Sud XI, Université de

80

Limited View Angle Iterative CT Reconstruction  

E-Print Network [OSTI]

;Some Prior Literature in Limited View Tomography CT with limited-angle data and few views IRR algorithm Iterative Reconstruction-Reprojection (IRR) : An Algorithm for Limited Data Cardiac- Computed-views and limited-angle data in divergent-beam CT by E. Y. Sidky, CM Kao, and X. Pan (2006) Few-View Projection

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission  

E-Print Network [OSTI]

Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission Scans by Hakan Erdogan Chair: Jeffrey A. Fessler Positron Emission Tomography (PET) is a diagnostic imaging tool that provides images

Fessler, Jeffrey A.

82

A. Cormack's last inversion formula and a FBP reconstruction  

E-Print Network [OSTI]

A reconstruction of a function from integrals over the family of confocal paraboloids is given by a FBP formula.

Victor Palamodov

2014-07-31T23:59:59.000Z

83

TURKEY'S CIVILIAN CAPACITY IN POST-CONFLICT RECONSTRUCTION  

E-Print Network [OSTI]

TURKEY'S CIVILIAN CAPACITY IN POST-CONFLICT RECONSTRUCTION 1 TURKEY'S CIVILIAN CAPACITY IN POST-CONFLICT RECONSTRUCTION by Teri Murphy & Onur Sazak #12;Turkey's Civilian Capacity in post-Conflict Reconstruction By Teri-checking was indispensable for the realization of this project. #12;TURKEY'S CIVILIAN CAPACITY IN POST

Yanikoglu, Berrin

84

3D RECONSTRUCTION FROM A SINGLE IMAGE Diego Rother  

E-Print Network [OSTI]

3D RECONSTRUCTION FROM A SINGLE IMAGE By Diego Rother and Guillermo Sapiro IMA Preprint Series. 1 3D Reconstruction from a Single Image Diego Rother and Guillermo Sapiro Abstract-- A probabilistic framework for 3D object reconstruction from a single image is introduced in this work. First

85

School of Applied Technology School of Applied Technology  

E-Print Network [OSTI]

School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean Technology and Management Programs: Mazin Safar Director, Marketing & Development: Scott Pfeiffer Director

Heller, Barbara

86

School of Applied Technology School of Applied Technology  

E-Print Network [OSTI]

School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean and Academic Director, Information Technology and Management Programs: C. Robert Carlson Director of Operations

Heller, Barbara

87

Hanford Environmental Dose Reconstruction Project Monthly Report  

SciTech Connect (OSTI)

This monthly report summarizes the technical progress and project status for the Hanford Environmental Dose Reconstruction (HEDR) Project being conducted at Pacific Northwest Laboratory (PNL) under the direction of a Technical Steering Panel (TSP). The TSP is composed of experts in numerous technical fields related to this project and represents the interests of the public. The US Department of Energy (DOE) funds the project. The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These tasks address each of the primary steps in the path from radioactive releases to dose estimates source terms, environmental transport, environmental monitoring data, demographics, agriculture, and food habits, and environmental pathways and dose estimates.

Finch, S.M. (comp.)

1990-05-01T23:59:59.000Z

88

Space and camera path reconstruction for omni-directional vision  

E-Print Network [OSTI]

In this paper, we address the inverse problem of reconstructing a scene as well as the camera motion from the image sequence taken by an omni-directional camera. Our structure from motion results give sharp conditions under which the reconstruction is unique. For example, if there are three points in general position and three omni-directional cameras in general position, a unique reconstruction is possible up to a similarity. We then look at the reconstruction problem with m cameras and n points, where n and m can be large and the over-determined system is solved by least square methods. The reconstruction is robust and generalizes to the case of a dynamic environment where landmarks can move during the movie capture. Possible applications of the result are computer assisted scene reconstruction, 3D scanning, autonomous robot navigation, medical tomography and city reconstructions.

Knill, Oliver

2007-01-01T23:59:59.000Z

89

Hanford Environmental Dose Reconstruction Project. Monthly report  

SciTech Connect (OSTI)

The objective of the Hanford Environmental Dose Reconstruction (HEDR) Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The independent Technical Steering Panel (TSP) provides technical direction. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed from release to impact on humans (dose estimates):Source Terms, Environmental Transport, Environmental Monitoring Data, Demography, Food Consumption, and Agriculture, and Environmental Pathways and Dose Estimates.

Cannon, S.D.; Finch, S.M. [comps.

1992-10-01T23:59:59.000Z

90

Scalable Reconstruction of Unitary Processes and Hamiltonians  

E-Print Network [OSTI]

Based on recently introduced efficient quantum state tomography schemes, we propose a scalable method for the tomography of unitary processes and the reconstruction of Hamiltonians. As opposed to the exponential scaling with the number of subsystems of standard quantum process tomography, the method relies only on measurements of linearly many local observables and either (a) the ability to prepare eigenstates of locally informationally complete operators or (b) access to an ancilla of the same size as the to-be-characterized system and the ability to prepare a maximally entangled state on the combined system. As such, the method requires at most linearly many states to be prepared and linearly many observables to be measured. The quality of the reconstruction can be quantified with the same experimental resources that are required to obtain the reconstruction in the first place. Our numerical simulations of several quantum circuits and local Hamiltonians suggest a polynomial scaling of the total number of measurements and post-processing resources.

M. Holzäpfel; T. Baumgratz; M. Cramer; M. B. Plenio

2014-11-24T23:59:59.000Z

91

Random unitary maps for quantum state reconstruction  

SciTech Connect (OSTI)

We study the possibility of performing quantum state reconstruction from a measurement record that is obtained as a sequence of expectation values of a Hermitian operator evolving under repeated application of a single random unitary map, U{sub 0}. We show that while this single-parameter orbit in operator space is not informationally complete, it can be used to yield surprisingly high-fidelity reconstruction. For a d-dimensional Hilbert space with the initial observable in su(d), the measurement record lacks information about a matrix subspace of dimension {>=}d-2 out of the total dimension d{sup 2}-1. We determine the conditions on U{sub 0} such that the bound is saturated, and show they are achieved by almost all pseudorandom unitary matrices. When we further impose the constraint that the physical density matrix must be positive, we obtain even higher fidelity than that predicted from the missing subspace. With prior knowledge that the state is pure, the reconstruction will be perfect (in the limit of vanishing noise) and for arbitrary mixed states, the fidelity is over 0.96, even for small d, and reaching F>0.99 for d>9. We also study the implementation of this protocol based on the relationship between random matrices and quantum chaos. We show that the Floquet operator of the quantum kicked top provides a means of generating the required type of measurement record, with implications on the relationship between quantum chaos and information gain.

Merkel, Seth T. [Institute for Quantum Computing, Waterloo, Ontario N2L 3G1 (Canada); Riofrio, Carlos A.; Deutsch, Ivan H. [Center for Quantum Information and Control (CQuIC), Department of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, 87131 (United States); Flammia, Steven T. [Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5 (Canada); Kavli Institute for Theoretical Physics, University of California, Santa Barbara, California 93106 (United States)

2010-03-15T23:59:59.000Z

92

Method for characterizing mask defects using image reconstruction from X-ray diffraction patterns  

DOE Patents [OSTI]

The invention applies techniques for image reconstruction from X-ray diffraction patterns on the three-dimensional imaging of defects in EUVL multilayer films. The reconstructed image gives information about the out-of-plane position and the diffraction strength of the defect. The positional information can be used to select the correct defect repair technique. This invention enables the fabrication of defect-free (since repaired) X-ray Mo--Si multilayer mirrors. Repairing Mo--Si multilayer-film defects on mask blanks is a key for the commercial success of EUVL. It is known that particles are added to the Mo--Si multilayer film during the fabrication process. There is a large effort to reduce this contamination, but results are not sufficient, and defects continue to be a major mask yield limiter. All suggested repair strategies need to know the out-of-plane position of the defects in the multilayer.

Hau-Riege, Stefan Peter (Fremont, CA)

2007-05-01T23:59:59.000Z

93

Waveform Inversion with Source Encoding for Breast Sound Speed Reconstruction in Ultrasound Computed Tomography  

E-Print Network [OSTI]

Ultrasound computed tomography (USCT) holds great promise for improving the detection and management of breast cancer. Because they are based on the acoustic wave equation, waveform inversion-based reconstruction methods can produce images that possess improved spatial resolution properties over those produced by ray-based methods. However, waveform inversion methods are computationally demanding and have not been applied widely in USCT breast imaging. In this work, source encoding concepts are employed to develop an accelerated USCT reconstruction method that circumvents the large computational burden of conventional waveform inversion methods. This method, referred to as the waveform inversion with source encoding (WISE) method, encodes the measurement data using a random encoding vector and determines an estimate of the sound speed distribution by solving a stochastic optimization problem by use of a stochastic gradient descent algorithm. Both computer-simulation and experimental phantom studies are conduc...

Wang, Kun; Anis, Fatima; Li, Cuiping; Duric, Neb; Anastasio, Mark A

2015-01-01T23:59:59.000Z

94

Romanian sources on applied mechanics  

SciTech Connect (OSTI)

This note provides a list of journals and recent books published in Romania covering topics in applied mechanics, with information on bow to obtain them.

Popescu, M.E. [Civil Engineering Inst., Bucharest (Romania)

1992-06-01T23:59:59.000Z

95

Reconstructing Quintom from Ricci Dark Energy  

E-Print Network [OSTI]

The holographic dark energy with Ricci scalar as IR cutoff called Ricci dark energy(RDE) probes the nature of dark energy with respect to the holographic principle of quantum gravity theory. The scalar field dark energy models like quintom are often viewed as effective description of the underlying field theory of dark energy. In this letter, we assume RDE model as the underlying field theory to find how the generalized ghost condensate model(GGC) that can easily realize quintom behavior can be used to effectively describe it and reconstruct the function $h(\\phi)$ of the generalized ghost condensate model.

Chao-Jun Feng

2009-02-11T23:59:59.000Z

96

Hanford Environmental Dose Reconstruction Project Monthly Report  

SciTech Connect (OSTI)

The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that populations could have received from nuclear operations at Hanford since 1944. The project is being managed and conducted by the Pacific Northwest Laboratory (PNL) under the direction of an independent Technical Steering Panel (TSP). The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): source terms; environmental transport; environmental monitoring data; demographics; agriculture; food habits; and environmental pathways and dose estimates. 3 figs.

Finch, S.M. (comp.)

1990-01-01T23:59:59.000Z

97

War damages and reconstruction of Peruca dam  

SciTech Connect (OSTI)

The paper describes the heavy damages caused by blasting in the Peruca rockfill dam in Croatia in January 1993. Complete collapse of the dam by overtopping was prevented through quick action of the dam owner by dumping clayey gravel on the lowest sections of the dam crest and opening the bottom outlet of the reservoir, thus efficiently lowering the water level. After the damages were sufficiently established and alternatives for restoration of the dam were evaluated, it was decided to construct a diaphragm wall through the damaged core in the central dam part as the impermeable dam element and to rebuild the central clay core at the dam abutments. Reconstruction works are described.

Nonveiller, E. [Univ. of Zagreb (Croatia). Faculty of Civil Engineering] [Univ. of Zagreb (Croatia). Faculty of Civil Engineering; Rupcic, J. [Univ. of Zagreb (Croatia). Faculty of Civil Engineering] [Univ. of Zagreb (Croatia). Faculty of Civil Engineering; [Elektroprojekt Consulting Engineering, Zagreb (Croatia); Sever, Z. [Elektroprojekt Consulting Engineering, Zagreb (Croatia)] [Elektroprojekt Consulting Engineering, Zagreb (Croatia)

1999-04-01T23:59:59.000Z

98

Disparity coding: a technique for stereo reconstruction  

E-Print Network [OSTI]

. Lee for his added help. TABLE OF COiUTENTS CHAPTER I INTRODI, CTION II FUSIOU AIODEL . Page A. Noise Introduction B. Edge Detection C. Fusion D. Disparity Calculation III CHANNEL CODING . 6 . 8 13 18 21 IV IXIAGE RECONSTRUCTION V... Values for ON Type Edges Noiseless Right Stereo Image Edges Right Stereo Image Edges with a SNR of 3 dB AWGN Separation Candidate and Target Edges Noiseless, ON Type Fusion Field Image Gray ? level Values of ON Type Fusion Field Noiseless Disparity...

Bell, William Bryan

2012-06-07T23:59:59.000Z

99

Automated 3D reconstruction of neuronal structures from serial sections  

E-Print Network [OSTI]

D Data Transfer 16 E Preliminary Filtering VI DATA RECONSTRUCTION A Overview of Reconstruction 18 B The Recon System 18 VII SECTION SEGMENTATION 22 A Feature Detection and Isolation 22 B Creation and Storage of ROIs . C Data Compression 24... OF NEURONS AND FIBERS 36 X JUNCTION AND BEND DETECTION. 38 A Junction Classi6cation . 38 B Models of Dendritic Bifurcation 41 XI RESULTS 45 A Reconstruction of Simulated Data 45 B Overview of Visualization Procedure 50 XII CONCLUSIONS 52 A Parallel...

Burton, Brent P

1999-01-01T23:59:59.000Z

100

Genome-scale reconstruction and analysis of eukaryotic metabolic networks  

E-Print Network [OSTI]

Reconstruction of Helicobacter pylori (iIT341 GSM/GPR): Anmetabolic model of Helicobacter pylori 26695. Journal ofinfluenzae , and Helicobacter pylori , have led to useful

Hurlen, Natalie Christine

2006-01-01T23:59:59.000Z

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


101

aspects reconstruction complications: Topics by E-print Network  

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

better information Yanikoglu, Berrin 5 Reconstructing Images from Projections Using the Maximum-Entropy Method. Numerical Simulations of Low-Aspect Astrotomography Astrophysics...

102

The Foundations of Applied Mathematics  

E-Print Network [OSTI]

The Foundations of Applied Mathematics John Baez Category-Theoretic Foundations of Mathematics Workshop May 5, 2013 #12;We often picture the flow of information about mathematics a bit like this: SCIENCE AND ENGINEERING APPLIED MATHEMATICS PURE MATHEMATICS FOUNDATIONS OF MATHEMATICS #12;Of course

Baez, John

103

Journal of Applied Ecology 2004  

E-Print Network [OSTI]

Journal of Applied Ecology 2004 41, 922­933 © 2004 British Ecological Society Blackwell Publishing that might guide management decisions. We tested whether ideas from landscape ecology (local vs. landscape-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922­933 Introduction More than

Holl, Karen

104

Halo mass distribution reconstruction across the cosmic web  

E-Print Network [OSTI]

We study the relation between halo mass and its environment from a probabilistic perspective. We find that halo mass depends not only on local dark matter density, but also on non-local quantities such as the cosmic web environment and the halo-exclusion effect. Given these accurate relations, we have developed the HADRON-code (Halo mAss Distribution ReconstructiON), a technique which permits us to assign halo masses to a distribution of haloes in three-dimensional space. This can be applied to the fast production of mock galaxy catalogues, by assigning halo masses, and reproducing accurately the bias for different mass cuts. The resulting clustering of the halo populations agree well with that drawn from the BigMultiDark $N$-body simulation: the power spectra are within 1-$\\sigma$ up to scales of $k=0.2\\,h\\,{\\rm Mpc}^{-1}$, when using augmented Lagrangian perturbation theory based mock catalogues. Only the most massive haloes show a larger deviation. For these, we find evidence of the halo-exclusion effect. ...

Zhao, Cheng; Chuang, Chia-Hsun; Prada, Francisco; Yepes, Gustavo; Tao, Charling

2015-01-01T23:59:59.000Z

105

Noise properties of gravitational lens mass reconstruction  

E-Print Network [OSTI]

Gravitational lensing is potentially able to observe mass-selected halos, and to measure the projected cluster mass function. An optimal mass-selection requires a quantitative understanding of the noise behavior in mass maps. This paper is an analysis of the noise properties in mass maps reconstructed using a maximum likelihood method. The noise power spectrum and the mass error bars are derived as a straightforward extension of the Kaiser & Squires (1993) algorithm to the case of a correlated noise. A very good agreement is found between these calculations and the noise properties observed in maximum likelihood mass reconstructions limited to simulated non-critical clusters of galaxies. In a second part, I show that the statistic of peaks in the noise follows accurately the peak statistics of a two-dimensional Gaussian random field (using the BBKS technics) if the smoothing aperture contains enough galaxies. This analysis provides a procedure to derive the significance of any mass peak as a function of its amplitude and its profile. It is demonstrated that, to a very good approximation, a mass map is the sum of the lensing signal plus a 2D gaussian random noise, which means that a detailled quantitative analysis of the structures in mass maps can be done. A direct application is the measurement of the projected mass function in wide field lensing surveys, down to small mass halos which are individually undetectable, this is the subject of a forthcoming work.

L. Van Waerbeke

1999-09-09T23:59:59.000Z

106

Structural algorithm to reservoir reconstruction using passive seismic data (synthetic example)  

SciTech Connect (OSTI)

Using of passive seismic observations to detect a reservoir is a new direction of prospecting and exploration of hydrocarbons. In order to identify thin reservoir model we applied the modification of Gaussian elimination method in conditions of incomplete synthetic data. Because of the singularity of a matrix conventional method does not work. Therefore structural algorithm has been developed by analyzing the given model as a complex model. Numerical results demonstrate of its advantage compared with usual way of solution. We conclude that the gas reservoir is reconstructed by retrieving of the image of encasing shale beneath it.

Smaglichenko, Tatyana A.; Volodin, Igor A.; Lukyanitsa, Andrei A.; Smaglichenko, Alexander V.; Sayankina, Maria K. [Oil and Gas Research Institute, Russian Academy of Science, Gubkina str.3, 119333, Moscow (Russian Federation); Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University, Leninskie gory, 1, str.52,Second Teaching Building.119991 Moscow (Russian Federation); Shmidt's Institute of Physics of the Earth, Russian Academy of Science, Bolshaya Gruzinskaya str. 10, str.1, 123995 Moscow (Russian Federation); Oil and Gas Research Institute, Russian Academy of Science, Gubkina str.3, 119333, Moscow (Russian Federation)

2012-09-26T23:59:59.000Z

107

Reconstruction of source location in a network of gravitational wave interferometric detectors  

SciTech Connect (OSTI)

This paper deals with the reconstruction of the direction of a gravitational wave source using the detection made by a network of interferometric detectors, mainly the LIGO and Virgo detectors. We suppose that an event has been seen in coincidence using a filter applied on the three detector data streams. Using the arrival time (and its associated error) of the gravitational signal in each detector, the direction of the source in the sky is computed using a {chi}{sup 2} minimization technique. For reasonably large signals (SNR>4.5 in all detectors), the mean angular error between the real location and the reconstructed one is about 1 deg. . We also investigate the effect of the network geometry assuming the same angular response for all interferometric detectors. It appears that the reconstruction quality is not uniform over the sky and is degraded when the source approaches the plane defined by the three detectors. Adding at least one other detector to the LIGO-Virgo network reduces the blind regions and in the case of 6 detectors, a precision less than 1 deg. on the source direction can be reached for 99% of the sky.

Cavalier, Fabien; Barsuglia, Matteo; Bizouard, Marie-Anne; Brisson, Violette; Clapson, Andre-Claude; Davier, Michel; Hello, Patrice; Kreckelbergh, Stephane; Leroy, Nicolas; Varvella, Monica [Laboratoire de l'Accelerateur Lineaire, IN2P3-CNRS et Universite Paris-Sud 11, Centre Scientifique d'Orsay, B.P. 34, 91898 Orsay Cedex (France)

2006-10-15T23:59:59.000Z

108

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

SciTech Connect (OSTI)

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

Hess-Flores, M

2011-11-10T23:59:59.000Z

109

Sustainable FACULTY OF APPLIED SCIENCE  

E-Print Network [OSTI]

Working Together Towards a Sustainable Energy Future FACULTY OF APPLIED SCIENCE Clean Energy aspects of sustainable energy solutions, and is committed to using its extensive expertise to serve, Electrical & Computer, Materials, Mechanical, Mining), the School of Architecture & Landscape Architecture

Michelson, David G.

110

temperature heat pumps applied to  

E-Print Network [OSTI]

Very high- temperature heat pumps applied to energy efficiency in industry Application June 21th 2012 Energy efficiency : A contribution to environmental protection Kyoto Copenhage Emission, plastics Partnership : EDF R&D Bil

Oak Ridge National Laboratory

111

IIT SCHOOL OF APPLIED TECHNOLOGY  

E-Print Network [OSTI]

INDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY PREPARING SKILLED INDIVIDUALS, INDUSTRIAL FACILITIES, SUPPLY CHAIN MANAGEMENT, SUSTAINABILITY AND MANUFACTURING TECHNOLOGY. #12;BE ONE to assess, implement, and utilize current technologies, and to learn how to manage industrial operations

Heller, Barbara

112

Modeling applied to problem solving  

E-Print Network [OSTI]

We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

Pawl, Andrew

113

NORTHWESTERN UNIVERSITY Reconstructions on Strontium Titanate (110) Surfaces  

E-Print Network [OSTI]

NORTHWESTERN UNIVERSITY Reconstructions on Strontium Titanate (110) Surfaces at Various Annealing August 2011 #12;1 Abstract Reconstructions on Strontium Titanate (110) Surfaces at Various Annealing Conditions Alicia Loon Strontium titanate (SrTiO3) is a perovskite complex metal oxide used in many different

Shull, Kenneth R.

114

Quantifying dose to the reconstructed breast: Can we adequately treat?  

SciTech Connect (OSTI)

To evaluate how immediate reconstruction (IR) impacts postmastectomy radiotherapy (PMRT) dose distributions to the reconstructed breast (RB), internal mammary nodes (IMN), heart, and lungs using quantifiable dosimetric end points. 3D conformal plans were developed for 20 IR patients, 10 autologous reconstruction (AR), and 10 expander-implant (EI) reconstruction. For each reconstruction type, 5 right- and 5 left-sided reconstructions were selected. Two plans were created for each patient, 1 with RB coverage alone and 1 with RB + IMN coverage. Left-sided EI plans without IMN coverage had higher heart Dmean than left-sided AR plans (2.97 and 0.84 Gy, p = 0.03). Otherwise, results did not vary by reconstruction type and all remaining metrics were evaluated using a combined AR and EI dataset. RB coverage was adequate regardless of laterality or IMN coverage (Dmean 50.61 Gy, D95 45.76 Gy). When included, IMN Dmean and D95 were 49.57 and 40.96 Gy, respectively. Mean heart doses increased with left-sided treatment plans and IMN inclusion. Right-sided treatment plans and IMN inclusion increased mean lung V{sub 20}. Using standard field arrangements and 3D planning, we observed excellent coverage of the RB and IMN, regardless of laterality or reconstruction type. Our results demonstrate that adequate doses can be delivered to the RB with or without IMN coverage.

Chung, Eugene; Marsh, Robin B.; Griffith, Kent A.; Moran, Jean M. [Department of Radiation Oncology, University of Michigan, Ann Arbor, MI (United States); Pierce, Lori J., E-mail: ljpierce@umich.edu [Department of Radiation Oncology, University of Michigan, Ann Arbor, MI (United States)

2013-04-01T23:59:59.000Z

115

Efficient MR Image Reconstruction for Compressed MR Imaging  

E-Print Network [OSTI]

demonstrate the superior performance of the proposed algorithm for com- pressed MR image reconstruction. 1 [1][2] show that it is possi- ble to accurately reconstruct the Magnetic Resonance (MR) images from for real MR images. Computation became the bottleneck that prevented this good model (1) from being used

Huang, Junzhou

116

Reconstructing $f(R)$ Theory from Ricci Dark Energy  

E-Print Network [OSTI]

In this letter, we regard the $f(R)$ theory as an effective description for the acceleration of the universe and reconstruct the function $f(R)$ from the Ricci dark energy, which respects holographic principle of quantum gravity. By using different parameter $\\alpha$ in RDE, we show the behaviors of reconstructed $f(R)$ and find they are much different in the future.

Chao-Jun Feng

2008-12-11T23:59:59.000Z

117

A Surface Reconstruction Method Using Global Graph Cut Optimization  

E-Print Network [OSTI]

SAR (China) 1sparis@csail.mit.edu ­ Sylvain Paris has worked on this project during his PhD at ARTIS reconstruction from multiple calibrated images mainly has been approached using local methods, either to 1/10th of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras

Paris-Sud XI, Université de

118

Methods for the Reconstruction of Parallel Turbo Codes  

E-Print Network [OSTI]

We present two new algorithms for the reconstruction of turbo codes from a noisy intercepted bitstream. With these algorithms, we were able to reconstruct various turbo codes with realistic parameter sizes. To the best of our knowledge, these are the first algorithms able to recover the whole permutation of a turbo code in the presence of high noise levels.

Cluzeau, Mathieu; Tillich, Jean-Pierre

2010-01-01T23:59:59.000Z

119

Seismic Data Reconstruction via Shearlet-Regularized Directional Inpainting  

E-Print Network [OSTI]

Seismic Data Reconstruction via Shearlet-Regularized Directional Inpainting S¨oren H¨auser and Jianwei Ma May 15, 2012 We propose a new method for seismic data reconstruction by directional weighted of thousands of meters with a good resolution, the seismic method has become the most commonly used geophysical

Steidl, Gabriele

120

Hierarchical regularization for edge-preserving reconstruction of PET images  

E-Print Network [OSTI]

Hierarchical regularization for edge-preserving reconstruction of PET images Johnathan M. Bardsley.somersalo@case.edu Abstract. The data in PET emission and transmission tomography and in low dose X-ray tomography, consists that the algorithm gives good quality reconstructions for both emission and transmission PET problems in an efficient

Bardsley, John

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

Parallel algorithm and hybrid regularization for dynamic PET reconstruction  

E-Print Network [OSTI]

Parallel algorithm and hybrid regularization for dynamic PET reconstruction N. Pustelnik, Student Abstract--To improve the estimation at the voxel level in dynamic Positron Emission Tomography (PET in the presence of Poisson noise and it is extended here to (dynamic) space + time PET image reconstruction

Boyer, Edmond

122

Total variation based Fourier reconstruction and regularization for computer tomography  

E-Print Network [OSTI]

of the reconstruted image. Insufficiency of data may be caused by the undersampling of projections, by the limitedTotal variation based Fourier reconstruction and regularization for computer tomography Xiao. Index Terms-- Computer tomography, reconstruction, regular- ization, iterative method, Fourier method

Zhang, Xiaoqun

123

Photo-Consistent Reconstruction of Semitransparent Scenes by  

E-Print Network [OSTI]

to a severely underconstrained computerized tomography problem, for which traditional methods break down. Our--Semitransparent scenes, fire, volumetric reconstruction, 3D reconstruction, computerized tomography, view synthesis, image-based modeling, image-based rendering. Ã? 1 INTRODUCTION THE computational modeling of physical

Jepson, Allan D.

124

Nested Loop Algorithm for Parallel Model Based Iterative Reconstruction  

E-Print Network [OSTI]

Nested Loop Algorithm for Parallel Model Based Iterative Reconstruction Zhou Yu, Lin Fu, Debashish. In this paper, we propose a fast converging simultaneous-update algorithm using a nested loop structure tomography, iterative reconstruction, nested loop, preconditioner. I. INTRODUCTION Recent applications

125

Hanford Environmental Dose Reconstruction Project monthly report  

SciTech Connect (OSTI)

The objective of the Hanford Environmental Dose Reconstruction MDR) Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The TSP consists of experts in envirorunental pathways. epidemiology, surface-water transport, ground-water transport, statistics, demography, agriculture, meteorology, nuclear engineering. radiation dosimetry. and cultural anthropology. Included are appointed members representing the states of Oregon, Washington, and Idaho, a representative of Native American tribes, and an individual representing the public. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed from release to impact on humans (dose estimates): Source Terms; Environmental Transport; Environmental Monitoring Data Demography, Food Consumption, and Agriculture; and Environmental Pathways and Dose Estimates.

McMakin, A.H., Cannon, S.D.; Finch, S.M. (comps.) [comps.

1992-09-01T23:59:59.000Z

126

Attenuation map reconstruction from TOF PET data  

E-Print Network [OSTI]

To reconstruct a radioactive tracer distribution with positron emission tomography (PET), the background attenuation correction is needed to eliminate image artifacts. Recent research shows that time-of-flight (TOF) PET data determine the attenuation sinogram up to a constant, and its gradient can be computed using an analytic algorithm. In this paper, we study a direct estimation of the sinogram only from TOF PET data. First, the gradient of the attenuation sinogram is estimated using the aforementioned algorithm. Then, a relationship is established to link the differential attenuation sinogram and the underlying attenuation background. Finally, an iterative algorithm is designed to determine the attenuation sinogram accurately and stably. A 2D numerical simulation study is conducted to verify the correctness of our proposed approach.

Yang, Qingsong; Wang, Ge

2013-01-01T23:59:59.000Z

127

Reconstructing the Star Formation Histories of Galaxies  

E-Print Network [OSTI]

We present a methodological study to find out how far back and to what precision star formation histories of galaxies can be reconstructed from CMDs, from integrated spectra and Lick indices, and from integrated multi-band photometry. Our evolutionary synthesis models GALEV allow to describe the evolution of galaxies in terms of all three approaches and we have assumed typical observational uncertainties for each of them and then investigated to what extent and accuracy different star formation histories can be discriminated. For a field in the LMC bar region with both a deep CMD from HST observations and a trailing slit spectrum across exactly the same field of view we could test our modelling results against real data.

Uta Fritze; Thomas Lilly

2007-01-15T23:59:59.000Z

128

3D reconstruction of tensors and vectors  

SciTech Connect (OSTI)

Here we have developed formulations for the reconstruction of 3D tensor fields from planar (Radon) and line-integral (X-ray) projections of 3D vector and tensor fields. Much of the motivation for this work is the potential application of MRI to perform diffusion tensor tomography. The goal is to develop a theory for the reconstruction of both Radon planar and X-ray or line-integral projections because of the flexibility of MRI to obtain both of these type of projections in 3D. The development presented here for the linear tensor tomography problem provides insight into the structure of the nonlinear MRI diffusion tensor inverse problem. A particular application of tensor imaging in MRI is the potential application of cardiac diffusion tensor tomography for determining in vivo cardiac fiber structure. One difficulty in the cardiac application is the motion of the heart. This presents a need for developing future theory for tensor tomography in a motion field. This means developing a better understanding of the MRI signal for diffusion processes in a deforming media. The techniques developed may allow the application of MRI tensor tomography for the study of structure of fiber tracts in the brain, atherosclerotic plaque, and spine in addition to fiber structure in the heart. However, the relations presented are also applicable to other fields in medical imaging such as diffraction tomography using ultrasound. The mathematics presented can also be extended to exponential Radon transform of tensor fields and to other geometric acquisitions such as cone beam tomography of tensor fields.

Defrise, Michel; Gullberg, Grant T.

2005-02-17T23:59:59.000Z

129

E-Print Network 3.0 - ann-based energy reconstruction Sample...  

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

algorithmfor Positron Emission Tomography (PET) Summary: (EM) reconstruction algorithm 11 has been shown to provide good quality reconstruction for PET. Our previous work...

130

E-Print Network 3.0 - ac joint reconstruction Sample Search Results  

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

reconstructed uniquely and stably from measurement data, ac- quired at all source... TOMOGRAPHY 205 Fig. 5. Reconstructed images corresponding to the noise model in ... Source:...

131

Oak Ridge Dose Reconstruction Project Summary Report; Reports of the Oak Ridge Dose Reconstruction, Vol. 7  

SciTech Connect (OSTI)

In the early 1990s, concern about the Oak Ridge Reservation's past releases of contaminants to the environment prompted Tennessee's public health officials to pursue an in-depth study of potential off-site health effects at Oak Ridge. This study, the Oak Ridge dose reconstruction, was supported by an agreement between the U.S. Department of Energy (DOE) and the State of Tennessee, and was overseen by a 12-member panel of individuals appointed by Tennessee's Commissioner of Health. The panel requested that the principal investigator for the project prepare the following report, ''Oak Ridge Dose Reconstruction Project Summary Report,'' to serve the following purposes: (1) summarize in a single, less technical report, the methods and results of the various investigations that comprised the Phase II of the dose reconstruction; (2) describe the systematic searching of classified and unclassified historical records that was a vital component of the project; and (3) summarize the less detailed, screening-level assessments that were performed to evaluate the potential health significance of a number of materials, such a uranium, whose priority did not require a complete dose reconstruction effort. This report describes each major step of the dose reconstruction study: (1) the review of thousands of historical records to obtain information relating to past operations at each facility; (2) estimation of the quantity and timing of releases of radioiodines from X-10, of mercury from Y-12, of PCB's from all facilities, and of cesium-137 and other radionuclides from White Oak Creek; (3) evaluation of the routes taken by these contaminants through the environment to nearby populations; and (4) estimation of doses and health risks to exposed groups. Calculations found the highest excess cancer risks for a female born in 1952 who drank goat milk; the highest non-cancer health risk was for children in a farm family exposed to PCBs in and near East Fork Poplar Creek. More detailed dose and risk estimates, and associated uncertainties, are presented in several technical reports. One way to easily locate them in OSTI's Information Bridge is by searching the ''report number field'' for the number DOE/OR/21981*. The asterisk placed after the base number will enable the search to list all of the related reports in this series.

Thomas E. Widner; et. al.

1999-07-01T23:59:59.000Z

132

Performance of ?q-lepton reconstruction and identification in CMS  

SciTech Connect (OSTI)

The performance of tau-lepton reconstruction and identification algorithms is studied using a data sample of proton-proton collisions at sqrt(s)=7 TeV, corresponding to an integrated luminosity of 36 inverse picobarns collected with the CMS detector at the LHC. The tau leptons that decay into one or three charged hadrons, zero or more short-lived neutral hadrons, and a neutrino are identified using final-state particles reconstructed in the CMS tracker and electromagnetic calorimeter. The reconstruction efficiency of the algorithms is measured using tau leptons produced in Z-boson decays. The tau-lepton misidentification rates for jets and electrons are determined.

Chatrchyan, Serguei; et al.

2012-01-01T23:59:59.000Z

133

apply skills & experience build skills  

E-Print Network [OSTI]

senior apply skills & experience junior build skills sophomore research & execute freshman explore options1 2 3 4 s u p p o r t4-year career action plan parent about the center for career development Remind your student that it is never too soon or too late to seek an internship or summer job. build

Alvarez, Pedro J.

134

APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING  

E-Print Network [OSTI]

APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING Brijuni, Croatia June 23{27, 2003. y x Runge's example; Organized by: Department of Mathematics, Unversity of Zagreb, Croatia. Miljenko Maru#20;si#19;c, chairman;simir Veseli#19;c Andro Mikeli#19;c Sponsors: Ministry of Science and Technology, Croatia, CV Sistemi d

Rogina, Mladen

135

California Energy Commission Apply Today!  

E-Print Network [OSTI]

of Flyer Public Programs Office (916) 654-4147 pubprog@energy.state.ca.us June 2006 #12;DON'T MISS electricity usage by about 30 percent. Electricity Savings: 2,262,207 kWh Demand Savings: 575 kW EnergyCalifornia Energy Commission Apply Today! "The college is using cutting edge on- site generation

136

APPLIED THERMAL ENGINEERING Manuscript Draft  

E-Print Network [OSTI]

the heat pump from the grid during the two hours of electrical peak power · Design of a new heat exchangerAPPLIED THERMAL ENGINEERING Manuscript Draft TITLE: Experimental assessment of a PCM to air heat This paper presents a heat exchanger prototype containing PCM material designed to provide a 1kW heating

Paris-Sud XI, Université de

137

Journal of Applied Ecology 2004  

E-Print Network [OSTI]

herbivores provide goods and income to rural communities, have major impacts on land use and habitats-Bianchet REVIEW The management of wild large herbivores to meet economic, conservation and environmental is applied to their management across the globe. To be effective, however, management has to be science

Festa-Bianchet, Marco

138

Journal of Applied Ecology 2006  

E-Print Network [OSTI]

Journal of Applied Ecology 2006 43, 377­384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

Thomas, Len

139

Applied Sustainability Political Science 319  

E-Print Network [OSTI]

1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception

Young, Paul Thomas

140

CX-010574: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Applied Materials - Kerf-less Crystaline-Silicon Photovoltaic: Gas to Modules CX(s) Applied: B3.6 Date: 05162013 Location(s): California,...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-009419: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

142

CX-009418: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

143

CX-009420: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

144

MicroCT: Semi-Automated Analysis of CT Reconstructed Data of Home Made Explosive Materials Using the Matlab MicroCT Analysis GUI  

SciTech Connect (OSTI)

This Standard Operating Procedure (SOP) provides the specific procedural steps for analyzing reconstructed CT images obtained under the IDD Standard Operating Procedures for data acquisition [1] and MicroCT image reconstruction [2], per the IDD Quality Assurance Plan for MicroCT Scanning [3]. Although intended to apply primarily to MicroCT data acquired in the HEAFCAT Facility at LLNL, these procedures may also be applied to data acquired at Tyndall from the YXLON cabinet and at TSL from the HEXCAT system. This SOP also provides the procedural steps for preparing the tables and graphs to be used in the reporting of analytical results. This SOP applies to R and D work - for production applications, use [4].

Seetho, I M; Brown, W D; Kallman, J S; Martz, H E; White, W T

2011-09-22T23:59:59.000Z

145

MicroCT: Automated Analysis of CT Reconstructed Data of Home Made Explosive Materials Using the Matlab MicroCT Analysis GUI  

SciTech Connect (OSTI)

This Standard Operating Procedure (SOP) provides the specific procedural steps for analyzing reconstructed CT images obtained under the IDD Standard Operating Procedures for data acquisition [1] and MicroCT image reconstruction [2], per the IDD Quality Assurance Plan for MicroCT Scanning [3]. Although intended to apply primarily to MicroCT data acquired in the HEAFCAT Facility at LLNL, these procedures may also be applied to data acquired at Tyndall from the YXLON cabinet and at TSL from the HEXCAT system. This SOP also provides the procedural steps for preparing the tables and graphs to be used in the reporting of analytical results. This SOP applies to production work - for R and D there are two other semi-automated methods as given in [4, 5].

Seetho, I M; Brown, W D; Kallman, J S; Martz, H E; White, W T

2011-09-22T23:59:59.000Z

146

Content-oriented 3D reconstruction from image streams  

E-Print Network [OSTI]

the automatisation of SaM from image sequences and videosby the input images to improve 3D reconstructions in SaMMo- tion (SaM). Structure and Motion from image sequences or

Knoblauch, Daniel

2011-01-01T23:59:59.000Z

147

PERFORMANCE OF NONLINEAR SPEECH ENHANCEMENT USING PHASE SPACE RECONSTRUCTION  

E-Print Network [OSTI]

PERFORMANCE OF NONLINEAR SPEECH ENHANCEMENT USING PHASE SPACE RECONSTRUCTION Michael T. Johnson enhancement methods. The proposed nonlinear methods are compared with traditional speech enhancement-Malah filtering, as had been suggested by previous studies. 1. INTRODUCTION Speech enhancement methods endeavor

Povinelli, Richard J.

148

Energy reconstruction in the Long-Baseline Neutrino Experiment  

E-Print Network [OSTI]

The Long-Baseline Neutrino Experiment aims at measuring fundamental physical parameters to high precision and exploring physics beyond the standard model. Nuclear targets introduce complications towards that aim. We investigate the uncertainties in the energy reconstruction, based on quasielastic scattering relations, due to nuclear effects. The reconstructed event distributions as a function of energy tend to be smeared out and shifted by several 100 MeV in their oscillatory structure if standard event selection is used. We show that a more restrictive experimental event selection offers the possibility to reach the accuracy needed for a determination of the mass ordering and the $CP$-violating phase. Quasielastic-based energy reconstruction could thus be a viable alternative to the calorimetric reconstruction also at higher energies.

Ulrich Mosel; Olga Lalakulich; Kai Gallmeister

2014-04-24T23:59:59.000Z

149

Image Reconstruction for Prostate Specific Nuclear Medicine imagers  

SciTech Connect (OSTI)

There is increasing interest in the design and construction of nuclear medicine detectors for dedicated prostate imaging. These include detectors designed for imaging the biodistribution of radiopharmaceuticals labeled with single gamma as well as positron-emitting radionuclides. New detectors and acquisition geometries present challenges and opportunities for image reconstruction. In this contribution various strategies for image reconstruction for these special purpose imagers are reviewed. Iterative statistical algorithms provide a framework for reconstructing prostate images from a wide variety of detectors and acquisition geometries for PET and SPECT. The key to their success is modeling the physics of photon transport and data acquisition and the Poisson statistics of nuclear decay. Analytic image reconstruction methods can be fast and are useful for favorable acquisition geometries. Future perspectives on algorithm development and data analysis for prostate imaging are presented.

Mark Smith

2007-01-11T23:59:59.000Z

150

Harmonic Image Reconstruction Assisted by a Nonlinear Metmaterial Surface  

E-Print Network [OSTI]

We experimentally demonstrate a microwave far-field image reconstruction modality with the transverse resolution exceeding the diffraction limit by using a single layer of highly nonlinear metamaterial. The harmonic fields ...

Wang, Zhiyu

151

CAT reconstruction and potting comparison of a LMFBR fuel bundle  

SciTech Connect (OSTI)

A standard Liquid Metal Fast Breeder Reactor (LMFBR) subassembly used in the Experimental Breeder Reactor II (EBR-II) was investigated, by remote techniques, for fuel bundle distortion by both nondestructive and destructive methods, and the results from both methods were compared. The non-destructive method employed neutron tomography to reconstruct the locations of fuel elements through the use of a maximum entropy reconstruction algorithm known as MENT. The destructive method consisted of ''potting'' (a technique that embeds and permanently fixes the fuel elements in a solid matrix) the subassembly, and then cutting and polishing the individual sections. The comparison indicated that the tomography reconstruction provided good results in describing the bundle geometry and spacer-wire locations, with the overall resolution being on the order of a spacer-wire diameter. A dimensional consistency check indicated that the element and spacer-wire dimensions were accurately reproduced in the reconstruction.

Betten, P.R.; Tow, D.M.

1984-04-01T23:59:59.000Z

152

Integrative approaches for systematic reconstruction of regulatory circuits in mammals  

E-Print Network [OSTI]

The reconstruction of regulatory networks is one of the most challenging tasks in systems biology. Although some models for inferring regulatory networks can make useful predictions about the wiring and mechanisms of ...

Santos Botelho Oliveira Leite, Ana Paula

2012-01-01T23:59:59.000Z

153

Registration Using Projective Reconstruction for Augmented Reality Systems  

E-Print Network [OSTI]

In AR systems, registration is one of the most difficult problems currently limiting their applications. In this paper, we proposed a simple registration method using projective reconstruction. This method consists of two ...

Yuan, M. L.

154

Some methods of estimating uncertainty in accident reconstruction  

E-Print Network [OSTI]

In the paper four methods for estimating uncertainty in accident reconstruction are discussed: total differential method, extreme values method, Gauss statistical method, and Monte Carlo simulation method. The methods are described and the program solutions are given.

Milan Batista

2011-07-20T23:59:59.000Z

155

Reconstruction of ECG signals in presence of corruption  

E-Print Network [OSTI]

We present an approach to identifying and reconstructing corrupted regions in a multi-parameter physiological signal. The method, which uses information in correlated signals, is specifically designed to preserve clinically ...

Ganeshapillai, Gartheeban

156

Bone Surface Reconstruction From CT/MR Images Using Fast Marching and Level Set Methods1)  

E-Print Network [OSTI]

Bone Surface Reconstruction From CT/MR Images Using Fast Marching and Level Set Methods1) Istv surfaces reconstructed from MR volumes are shown. 1 Outline of the project One of our current projects steps of bone surface reconstruction from CT/MR slice images. 2 Main steps of reconstruction 2.1

Chetverikov, Dmitry

157

Reconstructing Past Ocean Salinity ((delta)18Owater)  

SciTech Connect (OSTI)

Temperature and salinity are two of the key properties of ocean water masses. The distribution of these two independent but related characteristics reflects the interplay of incoming solar radiation (insolation) and the uneven distribution of heat loss and gain by the ocean, with that of precipitation, evaporation, and the freezing and melting of ice. Temperature and salinity to a large extent, determine the density of a parcel of water. Small differences in temperature and salinity can increase or decrease the density of a water parcel, which can lead to convection. Once removed from the surface of the ocean where 'local' changes in temperature and salinity can occur, the water parcel retains its distinct relationship between (potential) temperature and salinity. We can take advantage of this 'conservative' behavior where changes only occur as a result of mixing processes, to track the movement of water in the deep ocean (Figure 1). The distribution of density in the ocean is directly related to horizontal pressure gradients and thus (geostrophic) ocean currents. During the Quaternary when we have had systematic growth and decay of large land based ice sheets, salinity has had to change. A quick scaling argument following that of Broecker and Peng [1982] is: the modern ocean has a mean salinity of 34.7 psu and is on average 3500m deep. During glacial maxima sea level was on the order of {approx}120m lower than present. Simply scaling the loss of freshwater (3-4%) requires an average increase in salinity a similar percentage or to {approx}35.9psu. Because much of the deep ocean is of similar temperature, small changes in salinity have a large impact on density, yielding a potentially different distribution of water masses and control of the density driven (thermohaline) ocean circulation. It is partly for this reason that reconstructions of past salinity are of interest to paleoceanographers.

Guilderson, T P; Pak, D K

2005-11-23T23:59:59.000Z

158

Individualized 3D Reconstruction of Normal Tissue Dose for Patients With Long-term Follow-up: A Step Toward Understanding Dose Risk for Late Toxicity  

SciTech Connect (OSTI)

Purpose: Understanding the relationship between normal tissue dose and delayed radiation toxicity is an important component of developing more effective radiation therapy. Late outcome data are generally available only for patients who have undergone 2-dimensional (2D) treatment plans. The purpose of this study was to evaluate the accuracy of 3D normal tissue dosimetry derived from reconstructed 2D treatment plans in Hodgkin's lymphoma (HL) patients. Methods and Materials: Three-dimensional lung, heart, and breast volumes were reconstructed from 2D planning radiographs for HL patients who received mediastinal radiation therapy. For each organ, a reference 3D organ was modified with patient-specific structural information, using deformable image processing software. Radiation therapy plans were reconstructed by applying treatment parameters obtained from patient records to the reconstructed 3D volumes. For each reconstructed organ mean dose (D{sub mean}) and volumes covered by at least 5 Gy (V{sub 5}) and 20Gy (V{sub 20}) were calculated. This process was performed for 15 patients who had both 2D and 3D planning data available to compare the reconstructed normal tissue doses with those derived from the primary CT planning data and also for 10 historically treated patients with only 2D imaging available. Results: For patients with 3D planning data, the normal tissue doses could be reconstructed accurately using 2D planning data. Median differences in D{sub mean} between reconstructed and actual plans were 0.18 Gy (lungs), -0.15 Gy (heart), and 0.30 Gy (breasts). Median difference in V{sub 5} and V{sub 20} were less than 2% for each organ. Reconstructed 3D dosimetry was substantially higher in historical mantle-field treatments than contemporary involved-field mediastinal treatments: average D{sub mean} values were 15.2 Gy vs 10.6 Gy (lungs), 27.0 Gy vs 14.3 Gy (heart), and 8.0 Gy vs 3.2 Gy (breasts). Conclusions: Three-dimensional reconstruction of absorbed dose to organs at risk can be estimated accurately many years after exposure by using limited 2D data. Compared to contemporary involved-field treatments, normal tissue doses were significantly higher in historical mantle-field treatments. These methods build capacity to quantify the relationship between 3D normal tissue dose and observed late effects.

Ng, Angela [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada)] [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada); Brock, Kristy K.; Sharpe, Michael B. [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada) [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada); Department of Radiation Oncology, University of Toronto, Toronto, Ontario (Canada); Moseley, Joanne L. [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada)] [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada); Craig, Tim [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada) [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada); Department of Radiation Oncology, University of Toronto, Toronto, Ontario (Canada); Hodgson, David C., E-mail: David.Hodgson@rmp.uhn.on.ca [Radiation Medicine Program, Princess Margaret Hospital, Toronto, Ontario (Canada); Department of Radiation Oncology, University of Toronto, Toronto, Ontario (Canada)

2012-11-15T23:59:59.000Z

159

Applying to Teacher Education Program at Purdue  

E-Print Network [OSTI]

Apply to the Teacher Education Program (TEP). Please remember to apply to the TEP(Gate A) if you wish to officially enroll in the. Professional Education ...

David Drasin

2012-12-02T23:59:59.000Z

160

Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization  

E-Print Network [OSTI]

We address the inverse problem of cosmic large-scale structure reconstruction from a Bayesian perspective. For a linear data model, a number of known and novel reconstruction schemes, which differ in terms of the underlying signal prior, data likelihood, and numerical inverse extra-regularization schemes are derived and classified. The Bayesian methodology presented in this paper tries to unify and extend the following methods: Wiener-filtering, Tikhonov regularization, Ridge regression, Maximum Entropy, and inverse regularization techniques. The inverse techniques considered here are the asymptotic regularization, the Jacobi, Steepest Descent, Newton-Raphson, Landweber-Fridman, and both linear and non-linear Krylov methods based on Fletcher-Reeves, Polak-Ribiere, and Hestenes-Stiefel Conjugate Gradients. The structures of the up-to-date highest-performing algorithms are presented, based on an operator scheme, which permits one to exploit the power of fast Fourier transforms. Using such an implementation of the generalized Wiener-filter in the novel ARGO-software package, the different numerical schemes are benchmarked with 1-, 2-, and 3-dimensional problems including structured white and Poissonian noise, data windowing and blurring effects. A novel numerical Krylov scheme is shown to be superior in terms of performance and fidelity. These fast inverse methods ultimately will enable the application of sampling techniques to explore complex joint posterior distributions. We outline how the space of the dark-matter density field, the peculiar velocity field, and the power spectrum can jointly be investigated by a Gibbs-sampling process. Such a method can be applied for the redshift distortions correction of the observed galaxies and for time-reversal reconstructions of the initial density field.

F. S. Kitaura; T. A. Ensslin

2009-11-06T23:59:59.000Z

Note: This page contains sample records for the topic "reconstruction cxs applied" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

MODEL-FREE MULTI-PROBE LENSING RECONSTRUCTION OF CLUSTER MASS PROFILES  

SciTech Connect (OSTI)

Lens magnification by galaxy clusters induces characteristic spatial variations in the number counts of background sources, amplifying their observed fluxes and expanding the area of sky, the net effect of which, known as magnification bias, depends on the intrinsic faint-end slope of the source luminosity function. The bias is strongly negative for red galaxies, dominated by the geometric area distortion, whereas it is mildly positive for blue galaxies, enhancing the blue counts toward the cluster center. We generalize the Bayesian approach of Umetsu et al. for reconstructing projected cluster mass profiles, by incorporating multiple populations of background sources for magnification-bias measurements and combining them with complementary lens-distortion measurements, effectively breaking the mass-sheet degeneracy and improving the statistical precision of cluster mass measurements. The approach can be further extended to include strong-lensing projected mass estimates, thus allowing for non-parametric absolute mass determinations in both the weak and strong regimes. We apply this method to our recent CLASH lensing measurements of MACS J1206.2-0847, and demonstrate how combining multi-probe lensing constraints can improve the reconstruction of cluster mass profiles. This method will also be useful for a stacked lensing analysis, combining all lensing-related effects in the cluster regime, for a definitive determination of the averaged mass profile.

Umetsu, Keiichi [Institute of Astronomy and Astrophysics, Academia Sinica, P.O. Box 23-141, Taipei 10617, Taiwan (China)

2013-05-20T23:59:59.000Z

162

The Optimization of ATLAS Track Reconstruction in Dense Environments  

E-Print Network [OSTI]

This note presents recent changes in the ATLAS track reconstruction chain derived from detailed studies of track reconstruction in dense environments. The cores of high $p_{T}$ jets and $\\tau$-leptons are characterized by charged particle distances comparable to the inner detector sensor dimensions. The ambiguity processor stage of the reconstruction chain was over-halled including an improvement of the usage of a NN based approach to identify clusters created by multiple charge particles. Single particle samples are used to demonstrate the alteration in a simple environment. The impact of these changes on tracks in high $p_{T}$ jets are shown to result in more pixel hits on track, a more meaningful split hit definition, and improved track parameter estimation. A 10% increase in b-jet identification for an equal fake rate has been shown.

The ATLAS collaboration

2015-01-01T23:59:59.000Z

163

An ab initio approach to free-energy reconstruction using logarithmic mean force dynamics  

SciTech Connect (OSTI)

We present an ab initio approach for evaluating a free energy profile along a reaction coordinate by combining logarithmic mean force dynamics (LogMFD) and first-principles molecular dynamics. The mean force, which is the derivative of the free energy with respect to the reaction coordinate, is estimated using density functional theory (DFT) in the present approach, which is expected to provide an accurate free energy profile along the reaction coordinate. We apply this new method, first-principles LogMFD (FP-LogMFD), to a glycine dipeptide molecule and reconstruct one- and two-dimensional free energy profiles in the framework of DFT. The resultant free energy profile is compared with that obtained by the thermodynamic integration method and by the previous LogMFD calculation using an empirical force-field, showing that FP-LogMFD is a promising method to calculate free energy without empirical force-fields.

Nakamura, Makoto, E-mail: nakamura@cphys.s.kanazawa-u.ac.jp; Obata, Masao [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan)] [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan); Morishita, Tetsuya [Nanosystem Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568 (Japan)] [Nanosystem Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568 (Japan); Oda, Tatsuki, E-mail: oda@cphys.s.kanazawa-u.ac.jp [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan) [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan); Institute of Science and Engineering, Kanazawa University, Kanazawa 920-1192 (Japan)

2014-05-14T23:59:59.000Z

164

Liquid contact resonance atomic force microscopy via experimental reconstruction of the hydrodynamic function  

SciTech Connect (OSTI)

We present a method to correct for surface-coupled inertial and viscous fluid loading forces in contact resonance (CR) atomic force microscopy (AFM) experiments performed in liquid. Based on analytical hydrodynamic theory, the method relies on experimental measurements of the AFM cantilever's free resonance peaks near the sample surface. The free resonance frequencies and quality factors in both air and liquid allow reconstruction of a continuous hydrodynamic function that can be used to adjust the CR data in liquid. Validation experiments utilizing thermally excited free and in-contact spectra were performed to assess the accuracy of our approach. Results show that the method recovers the air frequency values within approximately 6%. Knowledge of fluid loading forces allows current CR analysis techniques formulated for use in air and vacuum environments to be applied to liquid environments. Our technique greatly extends the range of measurement environments available to CR-AFM.

Tung, Ryan C., E-mail: ryan.tung@nist.gov; Killgore, Jason P.; Hurley, Donna C. [National Institute of Standards and Technology, Boulder, Colorado 80305 (United States)

2014-06-14T23:59:59.000Z

165

Bayesian field theoretic reconstruction of bond potential and bond mobility in single molecule force spectroscopy  

E-Print Network [OSTI]

Quantifying the forces between and within macromolecules is a necessary first step in understanding the mechanics of molecular structure, protein folding, and enzyme function and performance. In such macromolecular settings, dynamic single-molecule force spectroscopy (DFS) has been used to distort bonds. The resulting responses, in the form of rupture forces, work applied, and trajectories of displacements, have been used to reconstruct bond potentials. Such approaches often rely on simple parameterizations of one-dimensional bond potentials, assumptions on equilibrium starting states, and/or large amounts of trajectory data. Parametric approaches typically fail at inferring complex-shaped bond potentials with multiple minima, while piecewise estimation may not guarantee smooth results with the appropriate behavior at large distances. Existing techniques, particularly those based on work theorems, also do not address spatial variations in the diffusivity that may arise from spatially inhomogeneous coupling to...

Chang, Joshua C; Chou, Tom

2015-01-01T23:59:59.000Z

166

New designs in the reconstruction of coke-sorting systems  

SciTech Connect (OSTI)

In recent Giprokoks designs for the reconstruction of coke-sorting systems, high-productivity vibrational-inertial screens have been employed. This permits single-stage screening and reduction in capital and especially operating expenditures, without loss of coke quality. In two-stage screening, >80 mm coke (for foundry needs) is additionally separated, with significant improvement in quality of the metallurgical coke (25-80 mm). New designs for the reconstruction of coke-sorting systems employ mechanical treatment of the coke outside the furnace, which offers new scope for stabilization of coke quality and permits considerable improvement in mechanical strength and granulometric composition of the coke by mechanical crushing.

A.S. Larin; V.V. Demenko; V.L. Voitanik [Giprokoks, the State Institute for the Design of Coke-Industry Enterprises, Kharkov (Ukraine)

2009-07-15T23:59:59.000Z

167

Maximum likelihood reconstruction for the Daya Bay Experiment  

E-Print Network [OSTI]

The Daya Bay Reactor Neutrino experiment is designed to precisely determine the neutrino mixing angle theta13. In this paper, we report a maximum likelihood (ML) method to reconstruct the vertex and energy of events in the anti-neutrino detector, based on a simplified optical model that describes light propagation. We calibrate the key paramters of the optical model with Co60 source, by comparing the predicted charges of the PMTs with the observed charges. With the optimized parameters, the resolution of the vertex reconstruction is about 25cm for Co60 gamma.

Xia Dongmei

2014-03-07T23:59:59.000Z

168

Iterative reconstruction of the detector response for medical gamma cameras  

E-Print Network [OSTI]

Statistical event reconstruction techniques can give better results for gamma cameras than the traditional centroid method. However, implementation of such techniques requires detailed knowledge of the PMT light response functions. Here we describe an iterative technique which allows to obtain the response functions from flood irradiation data without imposing strict requirements on the spatial uniformity of the event distribution. A successful application of the technique for medical gamma cameras is demonstrated using both simulated and experimental data. We show that this technique can be used for monitoring of the photomultiplier gain variations. An implementation of the iterative reconstruction technique capable of operating in real-time is also presented.

Morozov, A; Alves, F; Domingos, V; Martins, R; Neves, F; Chepel, V

2015-01-01T23:59:59.000Z

169

18th Annual International Conference of the IEEE Engineering in MIedicineand BiollogySociety, Amsterdam 1996 3.3.1: MR Imaging Systems and Reconstruction Techniques  

E-Print Network [OSTI]

Society, Amsterdam 1996 3.3.1: MR Imaging Systems and Reconstruction Techniques MEASURINGAC MAGNETIC FIELD is given in Fig.1. In the absence of an applied AC current, this pulse sequence is the same asthe one used by Maudsley A.A. et.al. to calculate the DC magnetic field inhomo se RP .,A_ II I f 0Gz I " v - who & - Fig.1

Ider, Yusuf Ziya

170

Supersampling and network reconstruction of urban mobility  

E-Print Network [OSTI]

Understanding human mobility is of vital importance for urban planning, epidemiology, and many other fields that aim to draw policies from the activities of humans in space. Despite recent availability of large scale data sets related to human mobility such as GPS traces, mobile phone data, etc., it is still true that such data sets represent a subsample of the population of interest, and then might give an incomplete picture of the entire population in question. Notwithstanding the abundant usage of such inherently limited data sets, the impact of sampling biases on mobility patterns is unclear -- we do not have methods available to reliably infer mobility information from a limited data set. Here, we investigate the effects of sampling using a data set of millions of taxi movements in New York City. On the one hand, we show that mobility patterns are highly stable once an appropriate simple rescaling is applied to the data, implying negligible loss of information due to subsampling over long time scales. On...

Sagarra, Oleguer; Santi, Paolo; Diaz-Guilera, Albert; Ratti, Carlo

2015-01-01T23:59:59.000Z

171

Integrated Approach to Reconstruction of Microbial Regulatory Networks  

SciTech Connect (OSTI)

This project had the goal(s) of development of integrated bioinformatics platform for genome-scale inference and visualization of transcriptional regulatory networks (TRNs) in bacterial genomes. The work was done in Sanford-Burnham Medical Research Institute (SBMRI, P.I. D.A. Rodionov) and Lawrence Berkeley National Laboratory (LBNL, co-P.I. P.S. Novichkov). The developed computational resources include: (1) RegPredict web-platform for TRN inference and regulon reconstruction in microbial genomes, and (2) RegPrecise database for collection, visualization and comparative analysis of transcriptional regulons reconstructed by comparative genomics. These analytical resources were selected as key components in the DOE Systems Biology KnowledgeBase (SBKB). The high-quality data accumulated in RegPrecise will provide essential datasets of reference regulons in diverse microbes to enable automatic reconstruction of draft TRNs in newly sequenced genomes. We outline our progress toward the three aims of this grant proposal, which were: Develop integrated platform for genome-scale regulon reconstruction; Infer regulatory annotations in several groups of bacteria and building of reference collections of microbial regulons; and Develop KnowledgeBase on microbial transcriptional regulation.

Rodionov, Dmitry A [Sanford-Burnham Medical Research Institute] [Sanford-Burnham Medical Research Institute; Novichkov, Pavel S [Lawrence Berkeley National Laboratory] [Lawrence Berkeley National Laboratory

2013-11-04T23:59:59.000Z

172

Free energy reconstruction from nonequilibrium single-molecule pulling experiments  

E-Print Network [OSTI]

Free energy reconstruction from nonequilibrium single-molecule pulling experiments Gerhard Hummer also drives the system away from equilibrium. Nevertheless, we show how equilibrium free energy of an extension of Jarzynski's remarkable identity between free energies and the irreversible work. Recent

Weeks, Eric R.

173

ECG Gated Tomographic reconstruction for 3-D Rotational Coronary Angiography  

E-Print Network [OSTI]

imaging techniques to improve both the safety and the efficacy of coronary angiography interventions the ground for a platform dedicated to the planning and execution of percutaneous coronary inter- ventionsECG Gated Tomographic reconstruction for 3-D Rotational Coronary Angiography Yining HU, Lizhe XIE

Paris-Sud XI, Université de

174

SRS Dose Reconstruction Report August 2006 EXECUTIVE SUMMARY  

E-Print Network [OSTI]

1954 to 1992, first by EI duPont de Nemours and Company (Dupont) for the U.S. Atomic Energy Commission (AEC), and later by Westinghouse Savannah River Company for DOE (1). SRS operated five reactors and two). ii #12;SRS Dose Reconstruction Report August 2006 Phase I of the study was a search of SRS to find

175

Topology Reconstruction and Characterisation of Wireless Ad Hoc Networks  

E-Print Network [OSTI]

Topology Reconstruction and Characterisation of Wireless Ad Hoc Networks Jon Arnold, Nigel Bean.sorell@adelaide.edu.au Abstract-- Wireless ad hoc networks provide a useful commu- nications infrastructure for the mobile Hoc Protocols, 802.11, Monitoring, Template Fitting, NS-2. I. INTRODUCTION Wireless Ad Hoc Networks

Roughan, Matthew

176

ROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION  

E-Print Network [OSTI]

speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling normalization (CMN), while others preprocess noisy speech using speech enhancement techniques. If noise samplesROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION Arun Narayanan

Wang, DeLiang "Leon"

177

Efficient MR image reconstruction for compressed MR imaging Junzhou Huang  

E-Print Network [OSTI]

to be very powerful for the MR image reconstruction. First, we decompose the original problem into L1 and TV.V. All rights reserved. 1. Introduction Magnetic Resonance (MR) imaging has been widely used in medical. Computation became the bottleneck that prevented this good model (1) from being used in practical MR image

Huang, Junzhou

178

Underwater environment reconstruction using stereo and inertial data Andrew Hogue  

E-Print Network [OSTI]

- tions for robotic sensors. A common requirement of many of these tasks is the need to construct accurate for which environmental reconstruction is desirable including inspection and entertainment applica- tions by slight changes in water temperature, salinity and pollution. One metric for establishing the health

Jenkin, Michael R. M.

179

Quasi-Dense Reconstruction from Image Maxime LHUILLIER Long QUAN  

E-Print Network [OSTI]

Science Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong SAR Abstract. This paper proposes a quasi-dense reconstruction from un- calibrated sequence. The main innovation calibration or position information. Unfortunately, most modeling and visualization applications need dense

Quan, Long

180

A Surface Reconstruction Method Using Global Graph Cut Optimization  

E-Print Network [OSTI]

SAR (China) 1 sparis@csail.mit.edu -- Sylvain Paris has worked on this project during his PhD at ARTIS calibrated images mainly has been approached using local methods, either as a continuous optimization problem of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras, discontinuities

Paris, Sylvain

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

A Surface Reconstruction Method Using Global Graph Cut Optimization  

E-Print Network [OSTI]

SAR (China) 1sparis@csail.mit.edu ­ Sylvain Paris has worked on this project during his PhD at ARTIS calibrated images mainly has been approached using local methods, either as a continuous optimization problem of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras, discontinuities

Paris, Sylvain

182

Hierarchical regularization for edge-preserving reconstruction of PET images  

E-Print Network [OSTI]

1 Hierarchical regularization for edge-preserving reconstruction of PET images Johnathan M. Bardsley , Daniela Calvetti, and Erkki Somersalo Abstract--The data in PET emission and transmission tomog for both emission and transmission PET problems at very low computational cost. Index Terms

Bardsley, John

183

Reconstructing web evolution and spider diversification in the molecular era  

E-Print Network [OSTI]

Reconstructing web evolution and spider diversification in the molecular era Todd A. Blackledgea,1- catching webs. Here, we construct a broad higher-level phylogeny of spiders combining molecular data that the spider orb web evolved only once. We then examine spider diversification in relation to different web

Mathis, Wayne N.

184

Integral equations for shape and impedance reconstruction in corrosion detection  

E-Print Network [OSTI]

Integral equations for shape and impedance reconstruction in corrosion detection Fioralba Cakoni of the method. 1 Introduction We consider an inverse problem originating from corrosion detection. Let D R2 Angewandte Mathematik, Universität Göttingen, 37083 Göttingen, Germany 1 #12;part c affected by corrosion

Cakoni, Fioralba

185

Simultaneous reconstruction of shape and impedance in corrosion detection  

E-Print Network [OSTI]

Simultaneous reconstruction of shape and impedance in corrosion detection Fioralba Cakoni , Rainer Kress and Christian Schuft Abstract Corrosion detection can be modelled by the Laplace equation an inverse problem that models corrosion detection. Let D R2 be a simply connected bounded domain with piece

Cakoni, Fioralba

186

ACCELERATING REGULARIZED ITERATIVE CT RECONSTRUCTION ON COMMODITY GRAPHICS HARDWARE (GPU)  

E-Print Network [OSTI]

overhead to very moderate levels. Index Terms-- Iterative Reconstruction, Computed Tomography, Ordered Klaus Mueller Center for Visual Computing, Computer Science Department, Stony Brook University ABSTRACT) is the overall theme in many efforts to lower these exposures. Effective methods here include limiting either

Mueller, Klaus

187

Shape-based Regularization of Electron Tomographic Reconstruction  

E-Print Network [OSTI]

on tomography data from digital phantoms, simulated data and experimental Electron Tomography (ET) data of virus the forward problem, and reconstructing a 3D image (or map) from such data using the principles of tomography of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX 78712, USA Guoliang Xu

Xu, Guo-liang

188

A Local Update Strategy for Iterative Reconstruction from Projections  

E-Print Network [OSTI]

methods for statistically-based reconstruction from projections are computationally costly relative tomography with relatively high signal-to-noise ratio and complete data sets, special cases benefit from testing of materials with widely varying densities[4], and applications with limited angle projections[5

189

Shape-based Regularization of Electron Tomographic Reconstruction  

E-Print Network [OSTI]

segmentation and compared with a known spatial model. We demonstrated our method on tomography data from digital phantoms, simulated data and experimental Electron Tomography (ET) data of virus complexes. Our, and reconstructing a 3D image (or map) from such data using the principles of tomography is called the inverse

Texas at Austin, University of

190

AUTOCORRECTING RECONSTRUCTION FOR FLEXIBLE CT SCANNERS Jeff Orchard  

E-Print Network [OSTI]

revolutionize the world of computed tomography (CT). Tiny x-ray emitters and detectors could be embedded scanners. Index Terms: computed tomography, image reconstruction, entropy, nanotechnology, autofocus 1. An automatic (data-driven) motion-correction method for SPECT (single photon emission computed tomog- raphy

Orchard, Jeffery J.

191

Volumetric Reconstruction in the MicroCAT Tomography System  

E-Print Network [OSTI]

of projection data . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.2 Illustration of Feldkamp filteredVolumetric Reconstruction in the MicroCAT Tomography System A Thesis Presented for the Master essential data and an intimate knowledge of the MicroCAT system. Dr. Sam Jordan of the University

Cates, Josh

192

Bayesian hierarchical reconstruction of protein profiles including a digestion model  

E-Print Network [OSTI]

Bayesian hierarchical reconstruction of protein profiles including a digestion model Pierre to recover the protein biomarkers content in a robust way. We will focus on the digestion step since and each branch to a molecular processing such as digestion, ionisation and LC-MS separation

Paris-Sud XI, Université de

193

Virtual reconstruction of a seventeenth-century Portuguese nau  

E-Print Network [OSTI]

. Using reconstruction information provided by Dr. Filipe Castro (Texas A&M Department of Anthropology), a detailed 3D computer model of the ship was constructed and filled with cargo to demonstrate how the ship might have been loaded on the return voyage...

Wells, Audrey Elizabeth

2008-10-10T23:59:59.000Z

194

THE RECONSTRUCTION OF GROUNDWATER PARAMETERS FROM HEAD DATA IN AN  

E-Print Network [OSTI]

ancillary data is fundamental to the process of modelling a groundwater system. In an unconfined aquifer of the unconfined groundwater parameters as the unique minimum of a convex functional. 1. Introduction It is commonTHE RECONSTRUCTION OF GROUNDWATER PARAMETERS FROM HEAD DATA IN AN UNCONFINED AQUIFER IAN KNOWLES

Knowles, Ian W.

195

Current developments at Giprokoks for coke-battery construction and reconstruction  

SciTech Connect (OSTI)

Approaches developed at Giprokoks for coke-battery construction and reconstruction are considered. Recommendations regarding furnace construction and reconstruction are made on the basis of Ukrainian and world experience.

V.I. Rudyka; Y.E. Zingerman; V.B. Kamenyuka; O.N. Surenskii; G.E. Kos'kova; V.V. Derevich; V.A. Gushchin [Giprokoks, the State Institute for the Design of Coke-Industry Enterprises, Kharkov (Ukraine)

2009-07-15T23:59:59.000Z

196

IRecon Introducing a Standardized Interface into the Siemens Image Reconstruction Environment Michael O. Zenge1  

E-Print Network [OSTI]

IRecon ­ Introducing a Standardized Interface into the Siemens Image Reconstruction Environment , Nirmal Janardhanan2 , Mariappan Nadar2 1 Siemens AG, Healthcare Sector, Erlangen, Germany; 2 Siemens which restricted an elaborate evaluation in patients. Although the Siemens image reconstruction

Stummer, Wolfgang

197

PET IMAGE RECONSTRUCTION USING ANATOMICAL INFORMATION THROUGH MUTUAL INFORMATION BASED PRIORS: A SCALE SPACE APPROACH  

E-Print Network [OSTI]

PET IMAGE RECONSTRUCTION USING ANATOMICAL INFORMATION THROUGH MUTUAL INFORMATION BASED PRIORS prior for incorpo- rating information from co-registered anatomical images into PET image reconstruction using mutual information based rigid registration. PET data are then simulated from the au

Rangarajan, Anand

198

SYLLABUS--GEOGRAPHY (GEOG)-455 APPLIED CLIMATOLOGY  

E-Print Network [OSTI]

SYLLABUS--GEOGRAPHY (GEOG)-455 APPLIED CLIMATOLOGY Spring 2006 Time: T-R 12:30-1:45 p.m. (BOL B95-455-001-lec@uwm.edu Textbooks: Thompson-Perry, Applied Climatology: principles and practice, (1997, graduate students will prepare a 10 page (2500 word minimum) paper on a project using applied climatology

Saldin, Dilano

199

SCHOOL OF APPLIED SCIENCES THE POSITION  

E-Print Network [OSTI]

DEAN SCHOOL OF APPLIED SCIENCES THE POSITION The University of Mississippi (www.olemiss.edu) seeks applications and nominations for the position of Dean of the School of Applied Sciences. The School of Applied Sciences is a free-standing academic unit whose Dean reports directly to the Vice

Tchumper, Gregory S.

200

Adsorption-induced reconstruction of the surface as a first-order phase transition  

SciTech Connect (OSTI)

The types of adsorption-induced reconstruction of the surface of metals have been described. A simple qualitative model has been proposed which interprets the induced reconstruction within the framework of the theory of first-kind phase transitions. The influence of the induced reconstruction on the phase diagram of the adsorption layer and the adsorption isotherms and isobars has been discussed. The role of induced reconstruction in the kinetics of chemical reactions on the surface has been assessed.

Zhdanov, V.P.

1986-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-003701: Categorical Exclusion Determination | Department of...  

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

701: Categorical Exclusion Determination CX-003701: Categorical Exclusion Determination Bio-Diesel Cellulosic Ethanol Research Project CX(s) Applied: A9 Date: 09162010...

202

CX-007108: Categorical Exclusion Determination | Department of...  

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

CX-007108: Categorical Exclusion Determination Energy-Saving Opportunities in Water Treatment and Distribution CX(s) Applied: B3.6 Date: 10122011 Location(s): Grand...

203

CX-008797: Categorical Exclusion Determination | Department of...  

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

797: Categorical Exclusion Determination CX-008797: Categorical Exclusion Determination Coal Pile Basin Project CX(s) Applied: B1.29 Date: 06042012 Location(s): Tennessee...

204

CX-009105: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-009105: Categorical Exclusion Determination 284-H Track Coal Hopper Pit Modifications CX(s) Applied: B1.28 Date: 08292012 Location(s): South...

205

CX-001500: Categorical Exclusion Determination | Department of...  

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

Determination CX-001500: Categorical Exclusion Determination Forrest County Geothermal Energy Project CX(s) Applied: B3.1, A9 Date: 04012010 Location(s): Forrest County,...

206

CX-004073: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Energy Efficiency and Conservation Block Grant - Geothermal Energy Demonstration for Organic Produce Packing Facility CX(s) Applied: B5.1 Date: 10...

207

CX-004380: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Geothermal Program - Forrest County Geothermal Energy Project (Phase 2) CX(s) Applied: B5.1 Date: 10292010 Location(s): Forrest...

208

CX-000209: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Snohomish County Public Utility District Geothermal Energy Study CX(s) Applied: A9 Date: 11232009 Location(s): Washington Office(s):...

209

CX-002842: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Overcoming Critical Barriers to United States Wind Power; A University-Industry Consortium CX(s) Applied: A9 Date: 07022010 Location(s):...

210

CX-007613: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Next Generation Ultra Lean Burn Powertrain CX(s) Applied: A9 Date: 01/10/2012 Location(s): California Offices(s): National Energy Technology Laboratory

211

CX-010951: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Automotive Technology Analysis CX(s) Applied: A8 Date: 09/17/2013 Location(s): Virginia Offices(s): National Energy Technology Laboratory

212

CX-012001: Categorical Exclusion Determination | Department of...  

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

01: Categorical Exclusion Determination CX-012001: Categorical Exclusion Determination Meter Installation at Fossil Lake Solar Project CX(s) Applied: B1.7 Date: 04242014...

213

CX-012193: Categorical Exclusion Determination | Department of...  

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

Determination CX-012193: Categorical Exclusion Determination "Slatt Substation Meter and Communication Equipment Installation CX(s) Applied: B1.7 Date: 05052014...

214

CX-000016: Categorical Exclusion Determination | Department of...  

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

Determination CX-000016: Categorical Exclusion Determination Ross-Lexington 1 Meter Project CX(s) Applied: B3.1 Date: 12172009 Location(s): Vancouver, Washington...

215

CX-010133: Categorical Exclusion Determination | Department of...  

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

Determination CX-010133: Categorical Exclusion Determination Establish Digital Density Meter Analytical Capability in 735-A, D-wing CX(s) Applied: B3.6 Date: 03112013...

216

CX-010740: Categorical Exclusion Determination | Department of...  

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

Determination CX-010740: Categorical Exclusion Determination Integration of Behind-the-Meter Photovoltaic Fleet Forecasts into Utility Grid System Operations CX(s) Applied: A9,...

217

CX-010651: Categorical Exclusion Determination | Department of...  

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

Operation, Maintenance, and End-of-Life of Leeman Prodigy Inductively Coupled Plasma Emission Spectrometers (ICPES) Unit and Perkin Elmer Optima 3000 ICPES Unit CX(s) Applied:...

218

CX-000374: Categorical Exclusion Determination | Department of...  

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

Determination CX-000374: Categorical Exclusion Determination Novel Sorbents for Emission Control from Coal Combustion CX(s) Applied: B3.6 Date: 12112009 Location(s):...

219

CX-011505: Categorical Exclusion Determination | Department of...  

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

Operation, Maintenance, and End of Life of Leeman Prodigy Inductively Coupled Plasma Emission Spectrometers (ICPES) Unit and Perkin Elmer Optima 3000 ICPES Unit CX(s) Applied:...

220

CX-004029: Categorical Exclusion Determination | Department of...  

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

Determination State Energy Program American Recovery and Reinvestment Act MKM Machine Tool Company, Incorporated CX(s) Applied: B5.1 Date: 10082010 Location(s):...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-004126: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-004126: Categorical Exclusion Determination Machine Shop Equipment Burn CX(s) Applied: B1.12 Date: 08022010 Location(s): New Mexico...

222

CX-008803: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-008803: Categorical Exclusion Determination Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05142012 Location(s): Tennessee...

223

CX-007358: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Integration of the University of Oregon's Cogeneration Project CX(s) Applied: B1.7 Date: 12012011 Location(s): Oregon Offices(s):...

224

CX-006593: Categorical Exclusion Determination | Department of...  

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

Determination CX-006593: Categorical Exclusion Determination Vermont Biofuels Initiative: Renewable Energy Resources CDP-09 CX(s) Applied: B5.1 Date: 08292011 Location(s):...

225

CX-010034: Categorical Exclusion Determination | Department of...  

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

CX-010034: Categorical Exclusion Determination Deactivation and Decommissioning of Soil Vapor Extraction Units CX(s) Applied: B1.23 Date: 01152013 Location(s): South...

226

CX-011482: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011482: Categorical Exclusion Determination Obtain soil samples for potential D-Area borrow sources CX(s) Applied: B6.1 Date: 11072013...

227

CX-004198: Categorical Exclusion Determination | Department of...  

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

Determination CX-004198: Categorical Exclusion Determination Lurance Canyon Burn Site Soil and Groundwater Site Characterization CX(s) Applied: B3.1 Date: 06142010 Location(s):...

228

CX-010031: Categorical Exclusion Determination | Department of...  

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

CX-010031: Categorical Exclusion Determination Deactivation and Decommissioning of Soil Vapor Extraction Units CX(s) Applied: B1.23 Date: 01172013 Location(s): South...

229

CX-010315: Categorical Exclusion Determination | Department of...  

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

CX-010315: Categorical Exclusion Determination Western Sector Treatment System Soil Vapor Extraction Wells CX(s) Applied: B3.1 Date: 04242013 Location(s): South Carolina...

230

CX-010657: Categorical Exclusion Determination | Department of...  

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

CX-010657: Categorical Exclusion Determination Western Sector Treatment System Soil Vapor Extraction Wells CX(s) Applied: B3.1 Date: 06182013 Location(s): South Carolina...

231

CX-005672: Categorical Exclusion Determination | Department of...  

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

672: Categorical Exclusion Determination CX-005672: Categorical Exclusion Determination Energy Systems Integration Facility Excavation Soil Stockpile CX(s) Applied: B1.15 Date: 04...

232

CX-003709: Categorical Exclusion Determination | Department of...  

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

Economic and Environmental Assessment of Switchgrass Production on High-Fertility Soil and an Assessment of Anaerobic Digesters as an Intermediate Market CX(s) Applied: A9,...

233

CX-011443: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11132013 Location(s): Alabama...

234

CX-011441: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11132013 Location(s): Colorado...

235

CX-011442: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11132013 Location(s): Colorado...

236

CX-003706: Categorical Exclusion Determination | Department of...  

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

Determination Development and Demonstration of an Innovative Thermal Energy Storage System for Baseload Solar Power Generation CX(s) Applied: A9, B3.6 Date: 09092010...

237

CX-006710: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-006710: Categorical Exclusion Determination Binary Power Unit Test (Recurrent Engineering LLC, Geothermal Test) CX(s) Applied: B5.1 Date: 08...

238

CX-010863: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Thermal Diffusivity Evaluation CX(s) Applied: B3.6 Date: 07/02/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

239

CX-009133: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-009133: Categorical Exclusion Determination New York Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date:...

240

CX-002167: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-002167: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-002168: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-002168: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

242

CX-006748: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-006748: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

243

CX-007020: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-007020: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

244

CX-001403: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-001403: Categorical Exclusion Determination West New York Energy Efficiency Projects CX(s) Applied: B5.1 Date: 04092010 Location(s): West New...

245

CX-011384: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Advanced Controls for the Multi-pod Centipod Wave Energy Converter Device CX(s) Applied: A9 Date: 12022013 Location(s): California...

246

CX-003761: Categorical Exclusion Determination | Department of...  

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

Determination CX-003761: Categorical Exclusion Determination Ramgen Supersonic Shock Wave Compression and Engine Technology CX(s) Applied: B3.6 Date: 09032010 Location(s):...

247

CX-005120: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005120: Categorical Exclusion Determination Wavebob Advanced Wave Energy Conversion Project CX(s) Applied: A9, B3.6 Date: 01272011 Location(s):...

248

CX-012002: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Raver-Covington Conductor Replacement CX(s) Applied: B1.3 Date: 04/24/2014 Location(s): Washington Offices(s): Bonneville Power Administration

249

CX-010532: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Various Demolition Jobs CX(s) Applied: B1.23 Date: 06/07/2013 Location(s): Illinois Offices(s): Fermi Site Office

250

CX-011194: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Particle Physics Division Outback Garage CX(s) Applied: B1.15 Date: 09/19/2013 Location(s): Illinois Offices(s): Fermi Site Office

251

CX-003518: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

252

CX-008264: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 05/24/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

253

CX-005249: Categorical Exclusion Determination | Department of...  

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

Wisconsin Clean Transportation Program - City of Milwaukee Ruby Avenue Compressed Natural Gas Infrastructure CX(s) Applied: B5.1 Date: 02152011 Location(s): Milwaukee,...

254

CX-008468: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 06/12/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

255

CX-007382: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Compressed Natural Gas Manufacturing CX(s) Applied: B5.1 Date: 10/26/2011 Location(s): Wisconsin Offices(s): Golden Field Office

256

CX-008556: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Haiti Renewable Resource Study CX(s) Applied: A9, A11 Date: 07/23/2012 Location(s): Haiti Offices(s): Golden Field Office

257

CX-004926: Categorical Exclusion Determination | Department of...  

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

926: Categorical Exclusion Determination CX-004926: Categorical Exclusion Determination Radioactive Waste Management Complex ? Analytical Laboratory Operations CX(s) Applied: B3.1...

258

CX-000903: Categorical Exclusion Determination | Department of...  

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

903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

259

CX-006171: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Goochland Womens Correctional Facility - Replacing Coal Boiler with Liquefied Petroleum Gas Boiler CX(s) Applied: A1, B5.1 Date: 07132011...

260

CX-006084: Categorical Exclusion Determination | Department of...  

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

Missouri Independent Energy Efficiency Program: Missouri Plating Company - Boiler Replacement CX(s) Applied: B5.1 Date: 06172011 Location(s): Missouri Office(s):...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-009151: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-009151: Categorical Exclusion Determination Simpson College Boiler Plant De-Centralization CX(s) Applied: B5.1 Date: 09242012 Location(s): Iowa...

262

CX-012097: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Microgrid Demonstration Project CX(s) Applied: B5.15 Date: 03/24/2014 Location(s): Idaho Offices(s): Idaho Operations Office

263

CX-006678: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Restoration of 54-TPX-10CX(s) Applied: B6.1Date: 01/19/2010Location(s): Casper, WyomingOffice(s): RMOTC

264

CX-008234: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Whole Energy Glycerin Refinery CX(s) Applied: B5.15 Date: 04/20/2012 Location(s): Washington Offices(s): Golden Field Office

265

CX-009702: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Columbia Rural Electric Association Walla Walla Hydroelectric Project CX(s) Applied: B4.1 Date: 12212012 Location(s): Washington Offices(s):...

266

CX-003827: Categorical Exclusion Determination | Department of...  

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

Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9,...

267

CX-005200: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005200: Categorical Exclusion Determination Hull Offshore Wind Research and Development CX(s) Applied: A9 Date: 02162011 Location(s): Hull,...

268

CX-003818: Categorical Exclusion Determination | Department of...  

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

Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9,...

269

CX-002377: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-002377: Categorical Exclusion Determination Offshore Wind Technology Data Collection Project CX(s) Applied: A9 Date: 05132010...

270

CX-003825: Categorical Exclusion Determination | Department of...  

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

Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9,...

271

CX-012265: Categorical Exclusion Determination | Department of...  

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

Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles... CX(s) Applied: B3.1 Date: 06262014 Location(s): California,...

272

CX-012266: Categorical Exclusion Determination | Department of...  

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

Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles... CX(s) Applied: A9 Date: 06262014 Location(s): California Offices(s):...

273

CX-007380: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-007380: Categorical Exclusion Determination National Offshore Wind Energy Grid Interconnection Study CX(s) Applied: A9 Date: 10262011...

274

CX-009014: Categorical Exclusion Determination | Department of...  

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

CX-009014: Categorical Exclusion Determination "Hull Municipal Light Plant Offshore Wind Project CX(s) Applied: A9, B3.1 Date: 08022012 Location(s): Massachusetts...

275

CX-009130: Categorical Exclusion Determination | Department of...  

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

CX-009130: Categorical Exclusion Determination Hull Municipal Light Plant Offshore Wind Project CX(s) Applied: A9, B3.1 Date: 08022012 Location(s): Massachusetts...

276

CX-003829: Categorical Exclusion Determination | Department of...  

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

Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9,...

277

CX-003814: Categorical Exclusion Determination | Department of...  

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

Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9...

278

CX-011230: Categorical Exclusion Determination | Department of...  

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

Determination Artesia Tap- Southwest Rangely 138 Kilovolt Transmission Line Danger Tree and Herbicide Treatment for Vegetation Management CX(s) Applied: B1.3 Date: 09262013...

279

CX-011651: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011651: Categorical Exclusion Determination Hazard Tree Removal Along the Prescott Peacock 230 Kilovolt Transmission Line CX(s) Applied: B1.3...

280

CX-012077: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-012077: Categorical Exclusion Determination Danger Tree Management on Craig to Hayden 230-Kilovolt Transmission Line CX(s) Applied: B1.3 Date:...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-005687: Categorical Exclusion Determination | Department of...  

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

7: Categorical Exclusion Determination CX-005687: Categorical Exclusion Determination Tree Cutting Cheyenne Field Office Maintenance Area, Spring 2011 CX(s) Applied: B1.3 Date: 04...

282

CX-003465: Categorical Exclusion Determination | Department of...  

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

CX-003465: Categorical Exclusion Determination Vehicle Technologies Program Advanced Automotive Fuels Research, Development and Commercialization Cluster CX(s) Applied: A9, B2.2,...

283

CX-005747: Categorical Exclusion Determination | Department of...  

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

Determination CX-005747: Categorical Exclusion Determination Biobased Materials Automotive Value Chain Market Development Analysis CX(s) Applied: A9 Date: 05042011...

284

CX-006211: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...

285

CX-009210: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Silver Butte Fiber Burial Project CX(s) Applied: B.47 Date: 08/28/2012 Location(s): Montana, Montana Offices(s): Bonneville Power Administration

286

CX-012189: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

287

CX-006646: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Restoration South of 54-TPX-10CX(s) Applied: B6.1Date: 02/09/2010Location(s): Casper, WyomingOffice(s): RMOTC

288

CX-002864: Categorical Exclusion Determination | Department of...  

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

4: Categorical Exclusion Determination CX-002864: Categorical Exclusion Determination Harris County North Bayou Central Plant CX(s) Applied: B5.1 Date: 07012010 Location(s):...

289

CX-004115: Categorical Exclusion Determination | Department of...  

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

15: Categorical Exclusion Determination CX-004115: Categorical Exclusion Determination Harris County North Bayou Central Plant CX(s) Applied: B5.1 Date: 09242010 Location(s):...

290

CX-000733: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-000733: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Austin,...

291

CX-003805: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-003805: Categorical Exclusion Determination Co-Production of Electricity and Hydrogen Using a Novel Iron-Based Catalyst CX(s) Applied: A9...

292

CX-006865: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-006865: Categorical Exclusion Determination Use of Inedible Energy Crops for Production of Advanced Biofuels with the Mcgyan Process CX(s) Applied:...

293

CX-005901: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005901: Categorical Exclusion Determination Ammonia Production from Electricity, Water, and Nitrogen CX(s) Applied: B3.6 Date: 05162011...

294

CX-005054: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005054: Categorical Exclusion Determination Gas Hydrate Production Test (Phase III - AdministrativePlanningModeling Tasks) CX(s) Applied: A2,...

295

CX-009710: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-009710: Categorical Exclusion Determination Spring Creek - Wine County No. 1 Transmission Tower Relocation CX(s) Applied: B4.6 Date: 11292012...

296

CX-003506: Categorical Exclusion Determination | Department of...  

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

State Energy Program American Recovery and Reinvestment Act: Quantum Solar Photovoltaic Module Manufacturing Plant CX(s) Applied: B5.1 Date: 08302010 Location(s):...

297

CX-000571: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-000571: Categorical Exclusion Determination Photovoltaic Panel Installation (Building 833, TA-I) CX(s) Applied: B5.1 Date: 12102009...

298

CX-004002: Categorical Exclusion Determination | Department of...  

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

Determination Knoxville Solar America Cites - Knox Heritage, Incorporated Solar Photovoltaic and Solar Thermal Demonstration Installation CX(s) Applied: B5.1 Date: 09202010...

299

CX-008563: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06132012...

300

CX-000924: Categorical Exclusion Determination | Department of...  

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

National Accreditation Certification Program for Installation and Acceptance of Photovoltaic Systems CX(s) Applied: A9 Date: 02232010 Location(s): New York Office(s): Energy...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-007873: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

302

CX-000653: Categorical Exclusion Determination | Department of...  

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

Determination CX-000653: Categorical Exclusion Determination Helios - Project: Photovoltaic Crystalline Module Assembly Plant CX(s) Applied: B5.1 Date: 01272010 Location(s):...

303

CX-005993: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005993: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.1 Date: 05262011...

304

CX-001654: Categorical Exclusion Determination | Department of...  

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

Determination CX-001654: Categorical Exclusion Determination Burlington County Photovoltaic (PV) System CX(s) Applied: B5.1 Date: 04092010 Location(s): County of Burlington,...

305

CX-006491: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-006491: Categorical Exclusion Determination Photovoltaic Manufacturing Consortium CX(s) Applied: B3.6 Date: 09012011 Location(s): Florida...

306

CX-011214: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

307

CX-009272: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Building 94 Facade Restoration CX(s) Applied: B1.3 Date: 09/10/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

308

CX-007794: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Grandview, Arkansas Interconnection CX(s) Applied: B4.12 Date: 04/08/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration

309

CX-011489: Categorical Exclusion Determination | Department of...  

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

CX-011489: Categorical Exclusion Determination Borohydride Research and Development for Hydrogen Storage - Lab 151 CX(s) Applied: B3.6 Date: 11052013 Location(s): South...

310

CX-010855: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-010855: Categorical Exclusion Determination Development for Hydrogen Storage and Neutron Conversion Materials, Lab 152 CX(s) Applied: B3.6 Date: 07...

311

CX-002391: Categorical Exclusion Determination | Department of...  

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

CX-002391: Categorical Exclusion Determination Long-Term Demonstration of Hydrogen Production from Coal at Elevated Temperatures CX(s) Applied: B3.11 Date: 05242010...

312

CX-011751: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination GreenLight Biosciences - Highly Productive Cell-free Bioconversion of Methane CX(s) Applied: B3.6 Date: 12122013 Location(s):...

313

CX-006558: Categorical Exclusion Determination | Department of...  

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

Determination Geothennal Resource Development with Zero Mass Withdrawal, Engineered Free Convection, and Wellbore Energy Conversion CX(s) Applied: A9, B3.6 Date: 08242011...

314

CX-010237: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

315

CX-005204: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005204: Categorical Exclusion Determination Renewable Energy Research and Development CX(s) Applied: A9 Date: 02162011 Location(s): Nevada...

316

CX-000199: Categorical Exclusion Determination | Department of...  

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

Determination CX-000199: Categorical Exclusion Determination Agricultural Renewable Energy Conversion Incentive Program CX(s) Applied: B5.1 Date: 11232009 Location(s): Arizona...

317

CX-003132: Categorical Exclusion Determination | Department of...  

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

Georgia Institute of Technology Research Corporation - Metal Organic Frameworks in Hollow Fiber Membranes for Carbon Dioxide Capture CX(s) Applied: B3.6 Date: 06022010...

318

CX-003378: Categorical Exclusion Determination | Department of...  

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

378: Categorical Exclusion Determination CX-003378: Categorical Exclusion Determination Photovoltaic Solar Cell Fabrication Alkaline Texturing Process Improvement CX(s) Applied:...

319

CX-007385: Categorical Exclusion Determination | Department of...  

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

Determination CX-007385: Categorical Exclusion Determination Development of Molten-Salt Heat Transfer Fluid Technology for Parabolic Trough Solar Power Plants CX(s) Applied: A9...

320

CX-011252: Categorical Exclusion Determination | Department of...  

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

Determination CX-011252: Categorical Exclusion Determination Concentrating Solar Power Heat Integration for Baseload Renewable Energy Deployment CX(s) Applied: A9 Date:...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-011703: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Menominee Tribal Enterprises District Biomass Combined Heat and Power Project CX(s) Applied: A9, B5.14 Date: 01022014 Location(s): Wisconsin...

322

CX-012038: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Deepwater Reverse-Circulation Primary Cementing CX(s) Applied: A9 Date: 04/17/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

323

CX-009114: Categorical Exclusion Determination | Department of...  

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

CX-009114: Categorical Exclusion Determination Dismantle and Remove Area Radiation Monitors (General) CX(s) Applied: B3.1 Date: 08232012 Location(s): South Carolina...

324

CX-008747: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Developing the Currently Existing Nuclear Instrumentation and Radiation Research Laboratories at Alcorn State University CX(s) Applied: B1.2 Date: 0521...

325

CX-003921: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003921: Categorical Exclusion Determination Mobile Sediment Analysis Laboratory CX(s) Applied: B3.6 Date: 09232010 Location(s): Morgantown,...

326

CX-004912: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Architectural Applications -Innovative Building-Integrated Ventilation Enthalpy Recovery CX(s) Applied: B3.6 Date: 08032010 Location(s):...

327

CX-008700: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

328

CX-003966: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Irradiation of Materials in Containers in Savannah River National Laboratory Cobalt-60 Facility CX(s) Applied: B3.6 Date: 09032010...

329

CX-010316: Categorical Exclusion Determination | Department of...  

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

CX-010316: Categorical Exclusion Determination "Various Getter Testing for Savannah River National LaboratoryDefense Programs Technology CX(s) Applied: B3.6 Date: 04222013...

330

CX-009042: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Relocate and Install Restroom Trailer to Savannah River National Laboratory Technical Area CX(s) Applied: B1.22 Date: 08082012...

331

CX-004180: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Three Wackenhut Services, Incorporated-Savannah River Site Infrastructure Improvement Projects in B-Area CX(s) Applied: B1.15 Date: 0923...

332

CX-004163: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-004163: Categorical Exclusion Determination Mobile Meteorological Equipment CX(s) Applied: B3.1 Date: 08022010 Location(s): New Mexico...

333

CX-003969: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-003969: Categorical Exclusion Determination Mobile Plutonium Facility (MPF); Set Up and Test Thermogravimetric Analyzer CX(s) Applied:...

334

CX-009613: Categorical Exclusion Determination | Department of...  

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

CX-009613: Categorical Exclusion Determination Testing, Calibration, and Training of Mobile Plutonium Facility (MPF) Equipment CX(s) Applied: B3.6 Date: 11162012 Location(s):...

335

CX-010092: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-010092: Categorical Exclusion Determination Land Mobile Radio - Bi Directional Amplifier (BDA) Installation CX(s) Applied: B1.7 Date: 0321...

336

CX-005109: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005109: Categorical Exclusion Determination Y589, Mobile Digital Radiography Identification System - Station CX(s) Applied: B1.15 Date: 0121...

337

CX-000489: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-000489: Categorical Exclusion Determination Locating Mobile Mini Office Buildings CX(s) Applied: B1.15 Date: 05052009 Location(s): Aiken, South...

338

CX-011347: Categorical Exclusion Determination | Department of...  

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

CX-011347: Categorical Exclusion Determination Infrastructure Modification for the Mobile Plutonium Facility (MPF) at the 645-N Complex CX(s) Applied: B1.15 Date: 09132013...

339

CX-009104: Categorical Exclusion Determination | Department of...  

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

CX-009104: Categorical Exclusion Determination Infrastructure Modification for the Mobile Plutonium Facility (MPF) at the 645-N Complex CX(s) Applied: B1.15 Date: 08292012...

340

CX-011534: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-012434: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

342

CX-003403: Categorical Exclusion Determination | Department of...  

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

CX-003403: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: A9, B3.7...

343

CX-002745: Categorical Exclusion Determination | Department of...  

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

CX-002745: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: B3.1, A9...

344

CX-006681: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-006681: Categorical Exclusion Determination New Drilling Location in Section 29 CX(s) Applied: B3.1 Date: 12232009 Location(s): Casper,...

345

CX-006682: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-006682: Categorical Exclusion Determination New Drilling Location in Section 29 (Revision 1) CX(s) Applied: B3.7 Date: 06022010 Location(s):...

346

CX-008486: Categorical Exclusion Determination | Department of...  

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

CX-008486: Categorical Exclusion Determination Demonstration of Gas Powered Drilling Operations for Economically-Challenged Wellhead Gas and Evaluation CX(s) Applied:...

347

CX-007941: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: A9 Date: 02152012 Location(s): Texas...

348

CX-003888: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003888: Categorical Exclusion Determination Improved Drilling and Fracturing Fluids for Shale Gas Reservoirs CX(s) Applied: B3.6 Date: 09102010...

349

CX-007940: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: B3.6 Date: 02152012 Location(s): Texas...

350

CX-005582: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Foro Energy, Incorporated - Low-Contact Drilling Technology to Enable Economical Enhance Geothermal System Wells CX(s) Applied: B3.6,...

351

CX-000855: Categorical Exclusion Determination | Department of...  

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

Determination CX-000855: Categorical Exclusion Determination 25A5208 - Low-contact Drilling Technology to Enable Economical Engineered Geothermal System Wells CX(s) Applied:...

352

CX-009218: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-009218: Categorical Exclusion Determination Replace Sparge Piping at Bryan Mound Raw Water Intake Structure CX(s) Applied: B1.3 Date: 09202012...

353

CX-007666: Categorical Exclusion Determination | Department of...  

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

Determination CX-007666: Categorical Exclusion Determination Addition of Pump, Piping, and Ion Exchange Column in Effluent Treatment Project CX(s) Applied: B2.5 Date: 11...

354

CX-005159: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

355

CX-005154: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

356

CX-005151: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

357

CX-002823: Categorical Exclusion Determination | Department of...  

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

CX-002823: Categorical Exclusion Determination Nebraska College of Technical Agriculture Biomass Facility CX(s) Applied: B5.1 Date: 06242010 Location(s): Curtis, Nebraska...

358

CX-006848: Categorical Exclusion Determination | Department of...  

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

Reinvestment Act - Deployment of Innovative Energy Efficiency and Renewable Energy - Agriculture - Olson-Ashbrook-Schanno-Uhalde-Zoller Projects CX(s) Applied: B5.1 Date: 1017...

359

CX-003789: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003789: Categorical Exclusion Determination Grandview-Red Mountain Number 1 Proposed Transmission Line Interconnection CX(s) Applied: B4.6 Date:...

360

CX-006967: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-006967: Categorical Exclusion Determination Mitigation of Syngas Cooler Plugging and Fouling CX(s) Applied: B3.6 Date: 09282011 Location(s): Salt...

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


361

CX-006279: Categorical Exclusion Determination | Department of...  

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

CX-006279: Categorical Exclusion Determination Novel Solid Amine Sorbent Dioxide Capture System CX(s) Applied: B3.6 Date: 08012011 Location(s): Pittsburgh, Pennsylvania...

362

CX-011785: Categorical Exclusion Determination | Department of...  

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

CX-011785: Categorical Exclusion Determination Ion Advanced Solvent Carbon Dioxide Capture Pilot Project CX(s) Applied: A9, A11 Date: 02192014 Location(s): Colorado...

363

CX-011274: Categorical Exclusion Determination | Department of...  

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

CX-011274: Categorical Exclusion Determination Ion Advanced Solvent Carbon Dioxide Capture Pilot Project CX(s) Applied: A9, A11 Date: 09262013 Location(s): North Dakota...

364

CX-003463: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003463: Categorical Exclusion Determination Carbon Dioxide Capture by Sub-Ambient Membrane Operation CX(s) Applied: A9, B3.6 Date: 08232010...

365

CX-010751: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Solar Ready 2 CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Missouri Offices(s): Golden Field Office

366

CX-011391: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011391: Categorical Exclusion Determination Municipal Complex Solar Power Project CX(s) Applied: B3.14 Date: 12102013 Location(s): New Jersey...

367

CX-004374: Categorical Exclusion Determination | Department of...  

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

74: Categorical Exclusion Determination CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date:...

368

CX-011215: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

369

CX-010880: Categorical Exclusion Determination | Department of...  

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

Access Road Acquisition Project CX(s) Applied: B1.24 Date: 07252013 Location(s): Oklahoma Offices(s): Southwestern Power Administration Southwestern Power Administration...

370

CX-010716: Categorical Exclusion Determination | Department of...  

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

Access Road Easement Acquisition CX(s) Applied: B1.24 Date: 07222013 Location(s): Oklahoma Offices(s): Southwestern Power Administration Southwestern Power Administration...

371

CX-005123: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-005123: Categorical Exclusion Determination Oklahoma Municipal Power Authority Large System Rebate Request I CX(s) Applied: B5.1 Date: 01...

372

CX-003923: Categorical Exclusion Determination | Department of...  

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

Line Crossing CX(s) Applied: B4.9 Date: 09162010 Location(s): Haskell County, Oklahoma Office(s): Southwestern Power Administration Southwestern Power Administration...

373

CX-000734: Categorical Exclusion Determination | Department of...  

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

of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Stillwater, Oklahoma Office(s): Fossil Energy, National Energy Technology Laboratory Collect data and...

374

CX-006005: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-006005: Categorical Exclusion Determination Oklahoma Municipal Power Authority Large System Application Request P CX(s) Applied: B5.1...

375

CX-007788: Categorical Exclusion Determination | Department of...  

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

Line 3016, Structure 31 CX(s) Applied: B1.33 Date: 12292011 Location(s): Oklahoma Offices(s): Southwestern Power Administration Southwestern Power Administration...

376

CX-005754: Categorical Exclusion Determination | Department of...  

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

Determination CX-005754: Categorical Exclusion Determination State Energy Program- Oklahoma Municipal Power Authority Large System Application Request O CX(s) Applied: B5.1...

377

CX-007904: Categorical Exclusion Determination | Department of...  

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

4: Categorical Exclusion Determination CX-007904: Categorical Exclusion Determination Oklahoma Municipal Power Authority Large Systems Request AD CX(s) Applied: B5.19 Date: 0210...

378

CX-011783: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011783: Categorical Exclusion Determination Analytical Physics - Scanning Electron Microscope CX(s) Applied: B3.6 Date: 02192014 Location(s):...

379

CX-004989: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-004989: Categorical Exclusion Determination Analytical Physics - Scanning Electron Microscope (SEM) CX(s) Applied: B3.6 Date: 01122011...

380

CX-011324: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011324: Categorical Exclusion Determination Analytical Physics - Wavelength Dispersive X-Ray Fluorescence Spectroscopy CX(s) Applied: B3.6 Date: 10...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-004269: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-004269: Categorical Exclusion Determination Analytical Physics - Thermal Analysis CX(s) Applied: B3.6 Date: 10202010 Location(s): Albany, Oregon...

382

CX-011798: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011798: Categorical Exclusion Determination Analytical Physics - Thermal Analysis CX(s) Applied: B3.6 Date: 01302014 Location(s): Oregon...

383

CX-002608: Categorical Exclusion Determination | Department of...  

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

Sequestered in Geologic Systems with Multicomponent Seismic Technology and Rock Physics Modeling CX(s) Applied: A9 Date: 12112009 Location(s): Austin, Texas Office(s):...

384

CX-011799: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011799: Categorical Exclusion Determination Analytical Physics - Transmission Electron Microscopy (TEM) CX(s) Applied: B3.6 Date: 01302014...

385

CX-006459: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-006459: Categorical Exclusion Determination Analytical Physics - Transmission Electron Microscopy (TEM) CX(s) Applied: B3.6 Date: 08082011...

386

CX-008011: Categorical Exclusion Determination | Department of...  

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

Determination CX-008011: Categorical Exclusion Determination Install EMSL Super-Computer Power Infrastructure CX(s) Applied: B1.7 Date: 06302011 Location(s): Washington...

387

CX-004223: Categorical Exclusion Determination | Department of...  

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

Center for Integrated Nanotechnologies Gateway - Installation and Operation of Computer Workstation Cluster, Los Alamos National Laboratory CX(s) Applied: B1.3 Date: 0519...

388

CX-011679: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Antifoam Degradation Testing CX(s) Applied: B3.6 Date: 12/05/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

389

CX-012279: Categorical Exclusion Determination | Department of...  

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

CX-012279: Categorical Exclusion Determination Vertically Aligned Carbon-Nanotubes Embedded in Ceramic Matrices for Hot Electrode Applications CX(s) Applied: B3.6...

390

CX-009923: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Project Icebreaker CX(s) Applied: A9, B3.1 Date: 01/07/2013 Location(s): Ohio Offices(s): Golden Field Office

391

CX-009555: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-009555: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9 Date: 12102012...

392

CX-000835: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-000835: Categorical Exclusion Determination Wachs Cutter Tooling Station (4495) CX(s) Applied: B1.31 Date: 02112010 Location(s): Oak Ridge,...

393

CX-005198: Categorical Exclusion Determination | Department of...  

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

Determination CX-005198: Categorical Exclusion Determination Development of Molten-Salt Heat Transfer Fluid Technology for Parabolic Trough Solar Power Plants CX(s) Applied: A9,...

394

CX-007701: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Halotechnics Inc. - Advanced Molten Glass for Heat Transfer and Thermal Energy Storage CX(s) Applied: A9, B3.6 Date: 11182011...

395

CX-005199: Categorical Exclusion Determination | Department of...  

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

Determination CX-005199: Categorical Exclusion Determination Development of Molten-Salt Heat Transfer Fluid Technology for Parabolic Trough Solar Power Plants CX(s) Applied: A9,...

396

CX-009132: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Landfill Gas Utilization Plant CX(s) Applied: B5.21 Date: 08/02/2012 Location(s): New York Offices(s): Golden Field Office

397

CX-001004: Categorical Exclusion Determination | Department of...  

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

Determination CX-001004: Categorical Exclusion Determination West Hackberry Site Security Detection Systems Upgrade (Install) CX(s) Applied: B2.2 Date: 03032010...

398

CX-000301: Categorical Exclusion Determination | Department of...  

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

Determination CX-000301: Categorical Exclusion Determination Maryland Revision 1 - Grants to Promote Mid-size Renewables at Private & Government Buildings CX(s) Applied: A7,...

399

CX-004768: Categorical Exclusion Determination | Department of...  

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

Determination CX-004768: Categorical Exclusion Determination State Energy Program - Grants to Promote Mid-Size Renewables at Private and Government Buildings CX(s) Applied:...

400

CX-012310: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-010338: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Eugene Substation Fiber Interconnection CX(s) Applied: B4.7 Date: 05/21/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

402

CX-011531: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Targhee Substation Land Acquisition CX(s) Applied: B1.24 Date: 11/05/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

403

CX-010435: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

De Moss Substation Expansion CX(s) Applied: B4.6 Date: 06/03/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

404

CX-011634: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office

405

CX-010725: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-010725: Categorical Exclusion Determination 2013 Ross Wood Pole Replacement Projects CX(s) Applied: B1.3 Date: 08192013 Location(s): Washington,...

406

CX-005675: Categorical Exclusion Determination | Department of...  

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

CX-005675: Categorical Exclusion Determination Fiscal Year 2011 Kalispell District Wood Pole Replacement Projects CX(s) Applied: B1.3 Date: 04152011 Location(s): Montana...

407

CX-010345: Categorical Exclusion Determination | Department of...  

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

Determination CX-010345: Categorical Exclusion Determination North Bend District Wood Poles CX(s) Applied: B1.3 Date: 05092013 Location(s): Oregon, Oregon, Oregon...

408

CX-005967: Categorical Exclusion Determination | Department of...  

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

Determination CX-005967: Categorical Exclusion Determination North Bend District Wood Poles: Wendson-Tahkenitch Number 1 and Tahkenitch-Reedsport Number 1 CX(s) Applied:...

409

CX-010424: Categorical Exclusion Determination | Department of...  

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

Determination CX-010424: Categorical Exclusion Determination Grand Coulee District Wood Replacement CX(s) Applied: B1.3 Date: 06072013 Location(s): Washington, Washington...

410

CX-005673: Categorical Exclusion Determination | Department of...  

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

CX-005673: Categorical Exclusion Determination Fiscal Year 2011 Pasco District Wood Pole Replacement Projects CX(s) Applied: B1.3 Date: 04112011 Location(s): Pasco...

411

CX-010732: Categorical Exclusion Determination | Department of...  

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

Determination CX-010732: Categorical Exclusion Determination 2013 Spokane District Wood pole Replacement Projects CX(s) Applied: B1.3 Date: 07312013 Location(s): Washington,...

412

CX-010166: Categorical Exclusion Determination | Department of...  

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

Determination CX-010166: Categorical Exclusion Determination Wenatchee District Wood Pole Replacements CX(s) Applied: B1.3 Date: 03222013 Location(s): Washington,...

413

CX-008154: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-008154: Categorical Exclusion Determination In-Kind Wood Pole Replacements - Driscoll-Naselle Number 1 CX(s) Applied: B1.3 Date: 04302012...

414

CX-011165: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

415

CX-008248: Categorical Exclusion Determination | Department of...  

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

Determination CX-008248: Categorical Exclusion Determination Idaho National Laboratory (INL) Closed Circuit Television (CCTV) Replacement Project CX(s) Applied: B2.2 Date: 0407...

416

CX-004342: Categorical Exclusion Determination | Department of...  

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

Determination CX-004342: Categorical Exclusion Determination Idaho National Laboratory (INL) Routine Maintenance Activities (Overarching) CX(s) Applied: B1.3 Date: 10192010...

417

CX-010717: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Moodys Radio Tower Land Acquisition CX(s) Applied: B1.24 Date: 07/15/2013 Location(s): Oklahoma Offices(s): Southwestern Power Administration

418

CX-011416: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Technology Integration Program CX(s) Applied: A9, A11 Date: 12/19/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

419

CX-010778: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Technology Integration Program CX(s) Applied: A9, A11 Date: 08/23/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

420

CX-012472: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Technology Integration Program CX(s) Applied: A9, A11, B3.11Date: 41873 Location(s): OhioOffices(s): National Energy Technology Laboratory

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-003354: Categorical Exclusion Determination | Department of...  

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

State Energy Program American Recovery and Reinvestment Act - Heating, Ventilating, and Air Conditioning and Window Replacement in Administration Building CX(s) Applied: B5.1...

422

CX-010139: Categorical Exclusion Determination | Department of...  

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

Determination Permanent Power for MCU Sampling Building Heating, Ventilation and Air Conditioning and Ancillary CX(s) Applied: B2.5 Date: 03072013 Location(s): South...

423

CX-000061: Categorical Exclusion Determination | Department of...  

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

CX-000061: Categorical Exclusion Determination Greenville's Heating, Ventilating, and Air Conditioning and Boiler Retrofit CX(s) Applied: B2.5, B5.1 Date: 11122009...

424

CX-006351: Categorical Exclusion Determination | Department of...  

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

CX-006351: Categorical Exclusion Determination Retrofit Heating, Ventilation and Air Conditioning and Control Systems in Parks and Recreation Facilities CX(s) Applied:...

425

CX-006628: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination 221-F Canyon Truckwell Heating, Ventilation, and Air Conditioning System CX(s) Applied: B1.5 Date: 08012011 Location(s): Aiken, South...

426

CX-003856: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation and Air Conditioning (HVAC) Upgrade CX(s) Applied: B5.1 Date: 09072010 Location(s): Escambia...

427

CX-001671: Categorical Exclusion Determination | Department of...  

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

and Conservation Block Grant (EECBG) Health Department Heating, Ventilating, and Air Conditioning (HVAC) RetrofitUpgrade and Revolving Loan Fund (RLF) (S) CX(s) Applied:...

428

CX-009282: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Big 8 - 922, 920, 921 Heating, Ventilation and Air Conditioning Upgrades; 921, 74 Roof Replacement; HPSB Upgrades CX(s) Applied: B2.1,...

429

CX-004909: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination University of Notre Dame - Compact, Efficient Air Conditioning with Ionic Liquid Based Refrigerant CX(s) Applied: B3.6 Date: 08032010...

430

CX-006625: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination 221-F Canyon Truckwell Heating, Ventilation, and Air Conditioning System CX(s) Applied: B1.5 Date: 07292011 Location(s): Aiken, South...

431

CX-008732: Categorical Exclusion Determination | Department of...  

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

(INL) Administration Building (IAB) Communication Room Heating, Ventilation, and Air Conditioning (HVAC) Upgrade CX(s) Applied: B1.31 Date: 05212012 Location(s): Idaho...

432

CX-002821: Categorical Exclusion Determination | Department of...  

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

Teutopolis Community Unit School District 50 - Geothermal Heating, Ventilating, and Air Conditioning Project CX(s) Applied: B5.1 Date: 06242010 Location(s): Teutopolis,...

433

CX-000870: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-000870: Categorical Exclusion Determination West Hackberry Air ConditioningHeating Repairs CX(s) Applied: B1.3 Date: 02052010 Location(s): West...

434

CX-010582: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Spring Creek Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

435

CX-003222: Categorical Exclusion Determination | Department of...  

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

and Reinvestment Act State Energy Program - Eastern Oregon Correctional Institution Solar Thermal CX(s) Applied: B5.1 Date: 08032010 Location(s): Pendleton, Oregon...

436

CX-004251: Categorical Exclusion Determination | Department of...  

Energy Savers [EERE]

CX-004251: Categorical Exclusion Determination High Yield Hybrid Cellulosic Ethanol Process Using High-Impact Feedstock for Commercialization by 2013 CX(s) Applied: A9,...

437

CX-003208: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003208: Categorical Exclusion Determination Michigan 85% Ethanol Fuel (E85) Infrastructure Project CX(s) Applied: B5.1 Date: 08032010 Location(s):...

438

CX-003471: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003471: Categorical Exclusion Determination Pennsylvania Ethanol Fuel (E85) Corridor Project - Lew's Service Center CX(s) Applied: B5.1 Date: 0823...

439

CX-011390: Categorical Exclusion Determination | Department of...  

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

0: Categorical Exclusion Determination CX-011390: Categorical Exclusion Determination Solar Panels and Environmental Education CX(s) Applied: A9, B3.14 Date: 12162013...

440

CX-004740: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-004740: Categorical Exclusion Determination Install Amonix Panels at National Solar Thermal Test Facility CX(s) Applied: B5.1 Date: 11232010...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-009004: Categorical Exclusion Determination | Department of...  

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

04: Categorical Exclusion Determination CX-009004: Categorical Exclusion Determination "Solar Panels on Hudson County Facilities CX(s) Applied: B5.16 Date: 08272012 Location(s):...

442

CX-005730: Categorical Exclusion Determination | Department of...  

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

Determination CX-005730: Categorical Exclusion Determination State Energy Program Sinton Independent School District Wind Energy Project- Phase II CX(s) Applied: B5.1 Date:...

443

CX-010367: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-010367: Categorical Exclusion Determination Asbestos Abatement Actions CX(s) Applied: B1.16 Date: 11192012 Location(s): Tennessee, California,...

444

CX-009643: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-009643: Categorical Exclusion Determination Asbestos Abatement Actions CX(s) Applied: B1.16 Date: 11192012 Location(s): Tennessee, California,...

445

CX-011776: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Final Rule for New and Amended Energy Conservation Standards for Metal Halide Lamp Fixtures CX(s) Applied: B5.1 Date: 01292014...

446

CX-001556: Categorical Exclusion Determination | Department of...  

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

Determination CX-001556: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant Activities Covered by Statement of Work (V3) CX(s) Applied: A9, A11,...

447

CX-010583: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Upper Jocko River Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

448

CX-011402: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-011402: Categorical Exclusion Determination Apel Steel Corporation CX(s) Applied: B5.16 Date: 11072013 Location(s): Alabama Offices(s):...

449

CX-010014: Categorical Exclusion Determination | Department of...  

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

Determination CX-010014: Categorical Exclusion Determination Cleaning of Uncontaminated Steel 3013 and 9975 Parts (Actual and Mockup) CX(s) Applied: B3.6 Date: 01292013...

450

CX-006093: Categorical Exclusion Determination | Department of...  

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

Missouri Independent Energy Efficiency Program: Onesteel Grinding Systems - Steel Reheat Furnace Recuperator Energy Efficiency Retrofit CX(s) Applied: B3.6, B5.1 Date:...

451

CX-007925: Categorical Exclusion Determination | Department of...  

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

Determination CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02222012 Location(s):...

452

CX-006048: Categorical Exclusion Determination | Department of...  

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

Determination CX-006048: Categorical Exclusion Determination Severe Environmental Corrosion & Erosion Research Facility (SECERF) CX(s) Applied: B3.6 Date: 06082011...

453

CX-006395: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-006395: Categorical Exclusion Determination Corrosion Tests on Carbon Steel Exposed to Oxalic Acid and a Sludge Simulant CX(s) Applied:...

454

CX-005801: Categorical Exclusion Determination | Department of...  

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

Determination CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03312011...

455

CX-006043: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-006043: Categorical Exclusion Determination CorrosionElectrochemistry Laboratory CX(s) Applied: B3.6 Date: 06082011 Location(s):...

456

CX-005861: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005861: Categorical Exclusion Determination Pretreatment Engineering Platform (PEP) Sludge Simulant Preparation CX(s) Applied: B3.6 Date: 03172011...

457

CX-009552: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Central Vermont Recovered Biomass Facility CX(s) Applied: B5.20 Date: 11/28/2012 Location(s): Vermont Offices(s): Golden Field Office

458

CX-012317: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

High Performance Computing Upgrades CX(s) Applied: B1.31 Date: 06/16/2014 Location(s): Idaho Offices(s): Nuclear Energy

459

CX-003908: Categorical Exclusion Determination | Department of...  

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

CX-003908: Categorical Exclusion Determination Fiscal Year 2010 Columbia Basin Fish Accords with Colville Confederated Tribes CX(s) Applied: B1.25 Date: 09082010...

460

CX-004745: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Acquisition of a Conservation Easement for Fish Habitat Mitigation in Okanogan County, Washington CX(s) Applied: A7 Date: 12082010...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-002277: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-002277: Categorical Exclusion Determination Hawaii Utility Integration for Wind CX(s) Applied: B3.1 Date: 05132010 Location(s): Hawaii, Hawaii...

462

CX-004716: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-004716: Categorical Exclusion Determination Developing Railway Markets for Montana Biodiesel CX(s) Applied: B5.1 Date: 12142010 Location(s): Havre,...

463

CX-003151: Categorical Exclusion Determination | Department of...  

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

Community College Bioenergy Program CX(s) Applied: A9 Date: 07262010 Location(s): Illinois Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Richland...

464

CX-008595: Categorical Exclusion Determination | Department of...  

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

95: Categorical Exclusion Determination CX-008595: Categorical Exclusion Determination Illinois Program Year 2012 State Energy Program Formula Award Application CX(s) Applied: A9,...

465

CX-005392: Categorical Exclusion Determination | Department of...  

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

392: Categorical Exclusion Determination CX-005392: Categorical Exclusion Determination Illinois State Energy Program Additional Solar Project for Cornerstone Church CX(s) Applied:...

466

CX-007989: Categorical Exclusion Determination | Department of...  

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

Determination CX-007989: Categorical Exclusion Determination Grant County Public Utility District - Columbia Substation Interconnection Project CX(s) Applied: B4.11 Date:...

467

CX-008545: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office

468

CX-012463: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

469

CX-002536: Categorical Exclusion Determination | Department of...  

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

CX-002536: Categorical Exclusion Determination American Recovery and Reinvestment Act Green Industry Business Development Program CX(s) Applied: B5.1 Date: 05272010...

470

CX-005960: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination Recovery Act ? Clean Energy Coalition Michigan Green Fleets CX(s) Applied: A1, A7 Date: 05252011 Location(s): Kalamazoo, Michigan...

471

CX-000099: Categorical Exclusion Determination | Department of...  

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

99: Categorical Exclusion Determination CX-000099: Categorical Exclusion Determination Forest County Potawatomi Community Energy Efficiency Retrofits CX(s) Applied: B5.1, A9 Date:...

472

CX-005880: Categorical Exclusion Determination | Department of...  

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

880: Categorical Exclusion Determination CX-005880: Categorical Exclusion Determination Forest City Land Development CX(s) Applied: B5.1 Date: 05172011 Location(s): Cleveland,...

473

CX-011239: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

474

CX-012195: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Alfalfa Substation Control House Replacement CX(s) Applied: B4.11 Date: 05/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

475

CX-004046: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-004046: Categorical Exclusion Determination Clean Energy Economic Development Initiative (CEEDI) - Maryland Energy Recovery CX(s) Applied: A1 Date: 10...

476

CX-005820: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005820: Categorical Exclusion Determination Clean Energy Economic Development Initiative - Maryland Environmental Service I CX(s) Applied: A9 Date: 05...

477

CX-005821: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005821: Categorical Exclusion Determination Clean Energy Economic Development Initiative - Maryland Environmental Service II CX(s) Applied: A9, A11,...

478

CX-004503: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-004503: Categorical Exclusion Determination Clean Energy Economic Development Initiative (CEEDI) - Bith CX(s) Applied: B5.1 Date: 11192010...

479

CX-003456: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003456: Categorical Exclusion Determination Clean Energy Economic Development Initiative - Wind Anemometers on Existing WOLC Radio Tower CX(s) Applied:...

480

CX-006807: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-006807: Categorical Exclusion Determination Energy Production with Innovative Methods of Geothermal Heat Recovery CX(s) Applied: A9 Date: 09...

Note: This page contains sample records for the topic "reconstruction cxs applied" 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

CX-000803: Categorical Exclusion Determination | Department of...  

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

3: Categorical Exclusion Determination CX-000803: Categorical Exclusion Determination Production of Hazardous Enhanced Chemical Cleaning Sludge Simulants CX(s) Applied: B3.6 Date:...

482

CX-002127: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination American Recovery and Reinvestment Act - State Energy Program - City of Addison Turbine Project CX(s) Applied: A9, A11 Date: 04302010 Location(s):...

483

CX-002128: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination American Recovery and Reinvestment Act - State Energy Program - City of Seadrift CX(s) Applied: A9, A11 Date: 04302010 Location(s): Seadrift, Texas...

484

CX-009513: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Aquatic Invasive Mussels Monitoring CX(s) Applied: B3.1 Date: 10/15/2012 Location(s): CX: none Offices(s): Bonneville Power Administration

485

CX-012188: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Emerald Ash Borer Control CX(s) Applied: B1.3 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

486

CX-007501: Categorical Exclusion Determination | Department of...  

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

Determination CX-007501: Categorical Exclusion Determination Solar-assisted, Electrical Vehicle Charging Stations in Nashville, Tennessee CX(s) Applied: B5.23 Date: 1201...

487

CX-000508: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-000508: Categorical Exclusion Determination Electrical Isolation of Building 710-B CX(s) Applied: B4.10 Date: 08052009 Location(s):...

488

CX-007162: Categorical Exclusion Determination | Department of...  

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

CX-007162: Categorical Exclusion Determination Pinnacle Peak Substation Electrical Equipment Removal CX(s) Applied: B1.17 Date: 05092011 Location(s): Maricopa...

489

CX-006672: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-006672: Categorical Exclusion Determination Replace Electrical Line From Well to Power Pole CX(s) Applied: B1.3 Date: 03112010 Location(s):...

490

CX-009400: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-009400: Categorical Exclusion Determination Electrical Load Shedding General Plant Project CX(s) Applied: B1.3 Date: 06232011...

491

CX-007148: Categorical Exclusion Determination | Department of...  

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

Determination CX-007148: Categorical Exclusion Determination Gila Substation Electrical Equipment Replacement CX(s) Applied: B4.6 Date: 05032011 Location(s): Yuma County,...

492

CX-000793: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-000793: Categorical Exclusion Determination Electrical Isolations at 740-A Trailer Complex CX(s) Applied: B4.10 Date: 09212009...

493

CX-011717: Categorical Exclusion Determination | Department of...  

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

Determination CX-011717: Categorical Exclusion Determination Line 3002 and 3002A Electrical Transmission Line Reconductoring Project CX(s) Applied: B2.5 Date: 05222013...

494

CX-002663: Categorical Exclusion Determination | Department of...  

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

Determination CX-002663: Categorical Exclusion Determination Solar-Assisted Electrical Vehicle Charging Stations CX(s) Applied: B5.1 Date: 05112010 Location(s): Oak...

495

CX-010770: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Wildland Fire Chainsaw Training CX(s) Applied: B1.2 Date: 08/01/2013 Location(s): Idaho Offices(s): Nuclear Energy

496

CX-011127: Categorical Exclusion Determination | Department of...  

Energy Savers [EERE]

CX-011127: Categorical Exclusion Determination Natural Refrigerant High Performance Heat Pump for Commercial Applications CX(s) Applied: B3.6 Date: 08282013 Location(s):...

497

CX-005708: Categorical Exclusion Determination | Department of...  

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

Determination CX-005708: Categorical Exclusion Determination Phase 3 - Seismic Fracture Characterization Methodologies for Enhanced Geothermal Systems CX(s) Applied: A9,...

498

CX-003495: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003495: Categorical Exclusion Determination Seismic Fracture Characterization Methodologies for Enhanced Geothermal Systems CX(s) Applied: A9,...

499

CX-005689: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Joint Inversion of Electrical and Seismic Data for Fracture Characterization and Imaging of Fluid Flow in Geothermal Systems CX(s) Applied: A9,...

500

CX-008984: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

State Energy Program CX(s) Applied: A9, A11 Date: 08/29/2012 Location(s): Florida Offices(s): Golden Field Office