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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Kernel Machine Based Feature Extraction Algorithms for Regression Problems  

E-Print Network [OSTI]

Kernel Machine Based Feature Extraction Algorithms for Regression Problems Csaba Szepesv´ari 1 and Andr´as Kocsor and Korn´el Kov´acs 2 Abstract. In this paper we consider two novel kernel machine based performance of the algorithm. The second algo- rithm combines kernel machines with average derivative

Szepesvari, Csaba

2

A Video Semantic Analysis Method Based on Kernel Discriminative Sparse Representation and Weighted KNN  

Science Journals Connector (OSTI)

......Intelligence, Machine Learning and Data Analytics A Video Semantic Analysis Method Based on Kernel Discriminative...China Handling editor: Zhangbing Zhou To improve the video semantic analysis for video surveillance, a new video semantic analysis method......

Yongzhao Zhan; Shan Dai; Qirong Mao; Lu Liu; Wei Sheng

2014-11-01T23:59:59.000Z

3

ROC curves for regression  

Science Journals Connector (OSTI)

Receiver Operating Characteristic (ROC) analysis is one of the most popular tools for the visual assessment and understanding of classifier performance. In this paper we present a new representation of regression models in the so-called regression ROC ... Keywords: Asymmetric loss, Cost-sensitive regression, Error variance, MSE decomposition, Operating condition, ROC Curves

Jos Hernndez-Orallo

2013-12-01T23:59:59.000Z

4

Adaptive wiener image restoration kernel  

DOE Patents [OSTI]

A method and device for restoration of electro-optical image data using an adaptive Wiener filter begins with constructing imaging system Optical Transfer Function, and the Fourier Transformations of the noise and the image. A spatial representation of the imaged object is restored by spatial convolution of the image using a Wiener restoration kernel.

Yuan, Ding (Henderson, NV)

2007-06-05T23:59:59.000Z

5

Kernel Support Vector Regression with imprecise output  

E-Print Network [OSTI]

Jan 27, 2008 ... in the price between the different shops), or for summarizing the ...... X5 = acceleration, X6 = urban fuel consumption, X7 = extra urban fuel.

2008-01-27T23:59:59.000Z

6

LightWeight KerneL  

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

Catamount n-Way Catamount n-Way LightWeight KerneL 1 R&D 100 Entry Catamount n-Way LightWeight KerneL 2 R&D 100 Entry Submitting organization Sandia National Laboratories PO Box 5800 Albuquerque, NM 87185-1319 USA Ron Brightwell Phone: (505) 844-2099 Fax: (505) 845-7442 rbbrigh@sandia.gov AFFIRMATION: I affirm that all information submitted as a part of, or supplemental to, this entry is a fair and accurate representation of this product. _____________________________ Ron Brightwell Joint entry Operating Systems Research 1527 16th NW #5 Washington, DC 20036 USA Trammell Hudson Phone: (240) 283-1700 Fax: (843) 971-9774 hudson@osresearch.net ProduCt name Catamount N-Way (CNW) Lightweight Kernel brief deSCriPtion CNW is an operating system that exploits existing features of multi-core processors

7

HEAT KERNELS ON METRIC GRAPHS AND A TRACE FORMULA VADIM KOSTRYKIN, J  

E-Print Network [OSTI]

HEAT KERNELS ON METRIC GRAPHS AND A TRACE FORMULA VADIM KOSTRYKIN, J ? URGEN POTTHOFF, AND ROBERT SCHRADER Dedicated to Jean­Michel Combes on the occasion of his 65­th birthday ABSTRACT. We study heat parameter. For such op­ erators we prove a representation for the heat kernel as a sum over all walks

8

Quantum Energy Regression using Scattering Transforms  

E-Print Network [OSTI]

We present a novel approach to the regression of quantum mechanical energies based on a scattering transform of an intermediate electron density representation. A scattering transform is a deep convolution network computed with a cascade of multiscale wavelet transforms. It possesses appropriate invariant and stability properties for quantum energy regression. This new framework removes fundamental limitations of Coulomb matrix based energy regressions, and numerical experiments give state-of-the-art accuracy over planar molecules.

Hirn, Matthew; Mallat, Stephane

2015-01-01T23:59:59.000Z

9

Functional inverse regression and reproducing kernel Hilbert space  

E-Print Network [OSTI]

equipped with norm bardbl ? bardbl and inner product angbracketleft?, ?angbracketright, to describe the dynamics of a sequence {Xt} of H-valued random variables such that Xt =rho(Xt-1) +epsilont, t element Z, where {epsilont} is an H-white noise, which..., the covariance function is crucial for many analyses, therefore the Karhunen?Lo?ve expansion (Ash and Gardner 1975) is one of the most useful tools in this approach. Karhunen?Lo?ve expansion: Let {X(t), t element [a, b]} be a L2 process (E(X(t)2 < infinity...

Ren, Haobo

2006-10-30T23:59:59.000Z

10

Generic polar harmonic transforms for invariant image representation  

Science Journals Connector (OSTI)

This paper introduces four classes of rotation-invariant orthogonal moments by generalizing four existing moments that use harmonic functions in their radial kernels. Members of these classes share beneficial properties for image representation and pattern ... Keywords: Harmonic kernels, Orthogonal moments, Polar harmonic transforms, Rotation invariance

Thai V. Hoang, Salvatore Tabbone

2014-08-01T23:59:59.000Z

11

Kernel Optimizations in SORD  

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

Kernel Optimizations in SORD Kernel Optimizations in SORD earthquake dynamic rupture code Geoffrey P. Ely Leadership Computing Facility Argonne National Laboratory MiraCon March 7, 2013 S C E C an NSF+USGS center Acknowledgements Tareq Malas King Abdullah Univ. of Science & Technology Vitali Morozov Argonne Leadership Computing Facility Karen Magerlein IBM Watson Research Center Simulation Scale Outer length scale: ~500km Inner length scale: ~50m Mesh points: ~10 12 Spatial Derivatives f (⇠) = n X ↵, , =0 N ↵ (⇠)f ↵ rf = @f @⇠ · J 1 x y z ⇠ ⌘ ⇣ Equations of Motion Viscoelastic Solid (Kelvin-Voigt Model) Free surface boundary condition ¨ u = 1 ⇢ r · g = r(u + ˙ u) = trace(g) + µ(g + g T ) ⇢ density , µ elastic moduli viscosity u displacement stress tensor ⌧ = · ˆ n = 0 ! Kernel with 12 Streams do l = 1, 400 do k = 1, 400

12

Heat Kernel Based Community Detection  

E-Print Network [OSTI]

Heat Kernel Based. Community Detection. Kyle Kloster. Purdue University. Joint with. David F. Gleich,. (Purdue), supported by. NSF CAREER. 1149756-CCF...

2014-09-16T23:59:59.000Z

13

Genotype and environment effects on water uptake by corn kernels  

E-Print Network [OSTI]

Protein Content 21 22 Farinograph Tests Histological Studies Water Uptake 27 Regression Analysis on Water Uptake Measurements Orthogonal Contrasts on Water Uptake Measurements Multivariate Analysis Principal Component Analysis Canonical... or soaking, referred to in the industry as tempering, conditioning, or steeping. During this process, water enters the kernel and makes it more suitable for further processing. In such processes water may be used by itself as in cooking and dry milling...

Mangal, Motie Jagdis

2012-06-07T23:59:59.000Z

14

Robotic intelligence kernel  

DOE Patents [OSTI]

A robot platform includes perceptors, locomotors, and a system controller. The system controller executes a robot intelligence kernel (RIK) that includes a multi-level architecture and a dynamic autonomy structure. The multi-level architecture includes a robot behavior level for defining robot behaviors, that incorporate robot attributes and a cognitive level for defining conduct modules that blend an adaptive interaction between predefined decision functions and the robot behaviors. The dynamic autonomy structure is configured for modifying a transaction capacity between an operator intervention and a robot initiative and may include multiple levels with at least a teleoperation mode configured to maximize the operator intervention and minimize the robot initiative and an autonomous mode configured to minimize the operator intervention and maximize the robot initiative. Within the RIK at least the cognitive level includes the dynamic autonomy structure.

Bruemmer, David J. (Idaho Falls, ID)

2009-11-17T23:59:59.000Z

15

Structural Risk Minimization Kernels Support Vector Machines Support Vector Machines  

E-Print Network [OSTI]

Dimensional Spaces Many acceptable solutions bad generalization Structural Risk Minimization Kernels SupportStructural Risk Minimization Kernels Support Vector Machines Support Vector Machines Kernel Methods Structural Risk Minimization Kernels Support Vector Machines 1 Structural Risk Minimization High Dimensional

Kjellström, Hedvig

16

Heat kernel expansion in the covariant perturbation theory  

E-Print Network [OSTI]

Working within the framework of the covariant perturbation theory, we obtain the coincidence limit of the heat kernel of an elliptic second order differential operator that is applicable to a large class of quantum field theories. The basis of tensor invariants of the curvatures of a gravity and gauge field background, to the second order, is derived, and the form factors acting on them are obtained in two integral representations. The results are verified by the functional trace operation, by the short proper time (Schwinger-DeWitt) expansions, as well as by the computation of the Green function for the two-dimensional scalar field model.

Yuri V. Gusev

2008-11-06T23:59:59.000Z

17

transformations: representations  

E-Print Network [OSTI]

Overview 1. Number transformations: from one base to another 2. Integer representations 3. Real rate, caches... #12; ECS 50, Discussion on 4/25 2 Integer Transformation: From Decimal to Binary Let, Discussion on 4/25 3 Integer Transformation: From Binary to Decimal Compute the weight of each digit position

Nguyen, Dat H.

18

Heat kernels on metric measure spaces A.Grigor'yan  

E-Print Network [OSTI]

Heat kernels on metric measure spaces A.Grigor'yan Lectures at Cornell Probability Summer School, July 2010 #12;2 #12;Contents 1 The notion of the heat kernel 5 1.1 Examples of heat kernels . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.1.1 Heat kernel in Rn . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.1.2 Heat kernels

Grigor'yan, Alexander

19

V-098: Linux Kernel Extended Verification Module Bug Lets Local...  

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

reported in the Linux Kernel. REFERENCE LINKS: The Linux Kernel Archives Linux Kernel Red Hat Bugzilla - Bug 913266 SecurityTracker Alert ID: 1028196 CVE-2013-0313 IMPACT...

20

Structural Risk Minimization Kernels Support Vector Machines Support Vector Machines  

E-Print Network [OSTI]

Dimensional Spaces Many acceptable solutions #12;Structural Risk Minimization Kernels Support Vector Machines High Dimensional Spaces Many acceptable solutions bad generalization #12;Structural Risk MinimizationStructural Risk Minimization Kernels Support Vector Machines Support Vector Machines Kernel Methods

Kjellström, Hedvig

Note: This page contains sample records for the topic "kernel regression representation" 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

Simulation Problem Analysis and Research Kernel | Open Energy...  

Open Energy Info (EERE)

Problem Analysis and Research Kernel Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Simulation Problem Analysis and Research Kernel AgencyCompany Organization:...

22

T-583: Linux Kernel OSF Partition Table Buffer Overflow Lets...  

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

3: Linux Kernel OSF Partition Table Buffer Overflow Lets Local Users Obtain Information T-583: Linux Kernel OSF Partition Table Buffer Overflow Lets Local Users Obtain Information...

23

T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates...  

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

5: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection...

24

EPACT Representation  

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

June 2005 June 2005 EPACT REPRESENTATION FOR COVERED AWARDS OVER $100,000 Section 2306 of the Energy Policy Act of 1992, as implemented in 10 CFR, Subpart F, establishes eligibility requirements for companies to participate in certain financial assistance programs covered under Titles XX through XXIII of the EPACT. For this purpose, "company" means any business entity other than an organization of the type described in section 501(c)(3) of the Internal Revenue Code of 1954 [26 U.S.C. Section 501(c)(3)]. In order for the Department of Energy (DOE) to make an award to a company under a covered program, DOE must determine that the company's participation will be in the economic interest of the United States and, if the company is not a United States-owned

25

Kernelization and Enumeration: New Approaches to Solving Hard Problems  

E-Print Network [OSTI]

their sizes. We present a 2k kernel for the cluster editing problem, which improves the previous best kernel of size 4k; We also present a linear kernel of size 7k 2d for the d-cluster editing problem, which is the first linear kernel for the problem...

Meng, Jie

2011-08-08T23:59:59.000Z

26

Heat kernels on metric measure spaces Alexander Grigor'yan  

E-Print Network [OSTI]

Heat kernels on metric measure spaces Alexander Grigor'yan Department of Mathematics University Kong April 2013 Contents 1 What is the heat kernel 2 1.1 Examples of heat kernels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Heat kernel in Euclidean spaces . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Heat

Grigor'yan, Alexander

27

Heat kernel asymptotics for magnetic Schrdinger operators  

SciTech Connect (OSTI)

We explicitly construct parametrices for magnetic Schrdinger operators on R{sup d} and prove that they provide a complete small-t expansion for the corresponding heat kernel, both on and off the diagonal.

Bolte, Jens, E-mail: jens.bolte@rhul.ac.uk [Department of Mathematics, Royal Holloway, University of London, Egham TW20 0EX (United Kingdom)] [Department of Mathematics, Royal Holloway, University of London, Egham TW20 0EX (United Kingdom); Keppeler, Stefan, E-mail: stefan.keppeler@uni-tuebingen.de [Mathematisches Institut, Universitt Tbingen, Auf der Morgenstelle 10, 72076 Tbingen (Germany)] [Mathematisches Institut, Universitt Tbingen, Auf der Morgenstelle 10, 72076 Tbingen (Germany)

2013-11-15T23:59:59.000Z

28

Intel's Math Kernel Library (MKL) at NERSC  

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

Kernel Library (MKL) Kernel Library (MKL) Math Kernel Library (MKL) Description The Intel Math Kernel Library (Intel MKL) contains highly optimized, extensively threaded math routines for science, engineering, and financial applications. Core math functions include BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more. NERSC provides MKL on the Carver system for all compilers. MKL is available on the Hopper system for Intel compiler only. How to Access MKL on Carver module load mkl How to Use MKL on Carver Linking Your Code with MKL on Carver Basic usage, with (default) PGI compiler: mpif90 my_code.f $MKL Using ScaLAPACK: mpif90 my_code.f $MKL -L$MKL_LIBDIR -lmkl_scalapack_lp64 -lmkl_blacs_openmpi_lp64 Basic usage, with (default) Intel or gcc compilers (after appropriate

29

Clustering and Inconsistent Information: A Kernelization Approach  

E-Print Network [OSTI]

CLUSTERING AND INCONSISTENT INFORMATION: A KERNELIZATION APPROACH A Dissertation by YIXIN CAO Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR OF PHILOSOPHY... May 2012 Major Subject: Computer Science CLUSTERING AND INCONSISTENT INFORMATION: A KERNELIZATION APPROACH A Dissertation by YIXIN CAO Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements...

Cao, Yixin

2012-07-16T23:59:59.000Z

30

Fractal Weyl law for Linux Kernel Architecture  

E-Print Network [OSTI]

We study the properties of spectrum and eigenstates of the Google matrix of a directed network formed by the procedure calls in the Linux Kernel. Our results obtained for various versions of the Linux Kernel show that the spectrum is characterized by the fractal Weyl law established recently for systems of quantum chaotic scattering and the Perron-Frobenius operators of dynamical maps. The fractal Weyl exponent is found to be $\

L. Ermann; A. D. Chepelianskii; D. L. Shepelyansky

2010-09-16T23:59:59.000Z

31

LOG HAZARD REGRESSION Huiying Sun  

E-Print Network [OSTI]

LOG HAZARD REGRESSION by Huiying Sun Ph.D, Harbin Institute of Technology, Harbin, CHINA, 1991 .................................................................... .................................................................... .................................................................... .................................................................... THE UNIVERSITY OF BRITISH COLUMBIA September, 1999 c flHuiying Sun, 1999 #12; Abstract We propose using

Heckman, Nancy E.

32

Is the gasoline tax regressive?  

E-Print Network [OSTI]

Claims of the regressivity of gasoline taxes typically rely on annual surveys of consumer income and expenditures which show that gasoline expenditures are a larger fraction of income for very low income households than ...

Poterba, James M.

1990-01-01T23:59:59.000Z

33

T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates  

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

05: Linux Kernel Weakness in Sequence Number Generation 05: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks August 30, 2011 - 3:46am Addthis PROBLEM: A remote user can conduct packet injection attacks. PLATFORM: Linux Kernel ABSTRACT: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks. reference LINKS: SecurityTracker Alert ID: 1025977 CVE-2011-3188 (under review) The Linux Kernel Archives IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in the Linux Kernel. A remote user can conduct packet injection attacks. The kernel's sequence number generation function uses partial MD4 with 24-bits unguessable. A remote user may be able to brute-force guess a valid sequence number to inject a packet into a

34

On fusion kernel in Liouville theory  

E-Print Network [OSTI]

We study fusion kernel for non-degenerate conformal blocks in Liouville theory as a solution to the difference equations originating from the pentagon identity. We suggest an approach to these equations based on 'non-perturbative' series expansion which allows to calculate the fusion kernel iteratively. We also find the exact solutions for the cases when the central charge is $c=1+6(b-b^{-1})^2$ and $b~\\in \\mathbb{N}$. For $c = 1$ our result reproduces the formula, obtained earlier from analytical continuation via Painlev\\'e equation. However, in our case it appears in a significantly simplified form.

Nikita Nemkov

2014-09-11T23:59:59.000Z

35

Contracting the Wigner-Kernel of a Spin to the Wigner-Kernel of a Particle  

E-Print Network [OSTI]

A general relation between the Moyal formalisms for a spin and a particle is established. Once the formalism has been set up for a spin, the phase-space description of a particle is obtained from the `contraction' of the group of rotations to the group of translations. This is shown by explicitly contracting a spin Wigner-kernel to the Wigner kernel of a particle. In fact, only one out of 2^{2s} different possible kernels for a spin shows this behaviour.

Jean-Pierre Amiet; Stefan Weigert

2000-04-13T23:59:59.000Z

36

Kernel Level Speculative DSM DSM 2003, May 13, 2003 2  

E-Print Network [OSTI]

Kernel Level Speculative DSM #12;DSM 2003, May 13, 2003 2 Kernel Level Speculative DSM http our ideas in the context of a DSM system · We are developing tools that ­ Improve performance ­ Address reliability ­ Simplify programming of distributed applications #12;DSM 2003, May 13, 2003 3 Kernel

Lefèvre, Laurent

37

Heat Kernel for Open Manifolds Trevor H. Jones  

E-Print Network [OSTI]

Heat Kernel for Open Manifolds Trevor H. Jones 22nd July, 2010 Abstract It is known that for open manifolds with bounded geometry, the differential form heat kernel exists and is unique. Furthermore, it has been shown that the components of the differential form heat kernel are related via the exterior

Jones, Trevor H.

38

Heat kernel on connected sums of Riemannian manifolds  

E-Print Network [OSTI]

Heat kernel on connected sums of Riemannian manifolds@math.cornell.edu May 1999 1 Introduction This note is about the heat kernel on a connected sum M of non-compact man- ifolds M1, M2, ..., Mk assuming that one knows enough about the heat kernels for each Mi

Grigor'yan, Alexander

39

Political representation Trench warfare  

E-Print Network [OSTI]

Political representation Trench warfare Rational voting Candidate positioning Recap Mathematical vs. statistical models in social science Andrew Gelman Department of Statistics and Department of Political science #12;Political representation Trench warfare Rational voting Candidate positioning Recap Themes

Gelman, Andrew

40

Medical image classification with multiple kernel learning  

Science Journals Connector (OSTI)

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

Hong Wu; Hao Zhang; Chao Li

2010-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Measurements of the Thermal Neutron Scattering Kernel  

E-Print Network [OSTI]

Measurements of the Thermal Neutron Scattering Kernel Li (Emily) Liu, Yaron Danon, Bjorn Becker and discussions Problems and Future study Questions #12;3 M. Mattes and J. Keinert, Thermal Neutron Scattering experimental data used was from 1973-1974! M. Mattes and J. Keinert, Thermal Neutron Scattering Data

Danon, Yaron

42

Multiresolution Reproducing Kernel Particle Methods in Acoustics  

E-Print Network [OSTI]

, and reliability of dynamic analysis. This is of great importance because the noise prediction of a complexMultiresolution Reproducing Kernel Particle Methods in Acoustics R. A. Uras Reactor Engineering In the analysis of complex phenomena of acoustic systems, the computational model­ ing requires special attention

Liu, Wing Kam

43

The Power Load Forecasting by Kernel PCA  

Science Journals Connector (OSTI)

We use one years subset to train the Support Vector Machines (SVM) and the next years data was used for testing with Kernel Principal Components Analysis (KPCA). This is clearly not optimal for a non-station...

Fang-Tsung Liu; Chiung-Hsing Chen

2010-01-01T23:59:59.000Z

44

Kernel methods for phenotyping complex plant architecture  

E-Print Network [OSTI]

Kernel methods for phenotyping complex plant architecture Koji KAWAMURA1,2 ,Laurence HIBRAND´e, FRANCE , 2. Department of Environmental Engineering, Osaka Institute of Technology, 5-16-1 Ohmiya, Asahi architecture is a crit- ical step for understanding the genetic determinism of plant architecture. Previous

Paris-Sud XI, Université de

45

Diagnostics for multiple regression problems  

SciTech Connect (OSTI)

In the last 10 to 15 years there has been much work done in trying to improve linear regression results. Individuals have analyzed the susceptibility of least-squares results to values far removed from the center of the independent variable observations. They have studied the problem of heavy-tailed residuals, and they have studied the problem of collinearity. From these studies have come ridge regression techniques, robust regression techniques, regression on principal components, etc. However, many practitioners view these methods with suspicion (and ignorance), and prefer to continue using the usual least-squares procedures to fit their models, even though their results might not be answering the question they think. In reaction to this, statisticians are spending more time analyzing how the individual observations affect the least squares results. In the last few years approximately 10 papers and one text have appeared that address the problem of how to study the influence of the individual observations. This report is a study of the recent work done in linear regression diagnostics. It is concerned with analyzing the effect of one case at a time, since the methods to analyze this situation are relatively straight-forward and are not prohibitive computationally.

Daly, J.C.

1982-03-01T23:59:59.000Z

46

Holomorphic geometric models for representations of $C^*$-algebras  

E-Print Network [OSTI]

Representations of $C^*$-algebras are realized on section spaces of holomorphic homogeneous vector bundles. The corresponding section spaces are investigated by means of a new notion of reproducing kernel, suitable for dealing with involutive diffeomorphisms defined on the base spaces of the bundles. Applications of this technique to dilation theory of completely positive maps are explored and the critical role of complexified homogeneous spaces in connection with the Stinespring dilations is pointed out. The general results are further illustrated by a discussion of several specific topics, including similarity orbits of representations of amenable Banach algebras, similarity orbits of conditional expectations, geometric models of representations of Cuntz algebras, the relationship to endomorphisms of ${\\mathcal B}({\\mathcal H})$, and non-commutative stochastic analysis.

Beltita, Daniel

2007-01-01T23:59:59.000Z

47

PERI Auto-tuning Memory Intensive Kernels  

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

PERI PERI - Auto-tuning Memory Intensive Kernels for Multicore Samuel Williams † , Kaushik Datta † , Jonathan Carter , Leonid Oliker † , John Shalf , Katherine Yelick † , David Bailey CRD/NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA † Computer Science Division, University of California at Berkeley, Berkeley, CA 94720, USA E-mail: SWWilliams@lbl.gov, kdatta@eecs.berkeley.edu, JTCarter@lbl.gov, LOliker@lbl.gov, JShalf@lbl.gov, KAYelick@lbl.gov, DHBailey@lbl.gov Abstract. We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of search-based performance optimizations, popular in linear algebra and FFT libraries, to application-specific computational kernels. Our work applies this strategy to Sparse Matrix Vector Multiplication

48

Student Representation System Policy Student Representation System Policy  

E-Print Network [OSTI]

Policy Student Representation System Policy 2013-14 Student Representation System Policy UNIVERSITY OF BIRMINGHAM STUDENT REPRESENTATION SYSTEM POLICY #12;Policy Student Representation System Policy 2013-14 Student Representation System Policy Index of points 1. Introduction 2. Purpose 3. Core Principles 4

Birmingham, University of

49

V-169: Linux Kernel "iscsi_add_notunderstood_response()" Buffer...  

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

has been reported in Linux Kernel. REFERENCE LINKS: Secunia Advisory SA53670 Red Hat Bugzilla - Bug 968036 CVE-2013-2850 IMPACT ASSESSMENT: Medium DISCUSSION: The...

50

U-175: Linux Kernel KVM Memory Slot Management Flaw  

Broader source: Energy.gov [DOE]

A vulnerability was reported in the Linux Kernel. A local user on the guest operating system can cause denial of service conditions on the host operating system.

51

Regression analysis with missing data  

E-Print Network [OSTI]

. . . 17 3. 1 Eumerical ZxamPle of Rocking and Smith Parameter Estimates. 17 3. 2 Comparisons of Regression Estimation Teohniques. 3. 3 Other Monte Carlo Results. . . 29 Chapter VT Conclusions. 30 d. l Review of Results. 30 4. 2 Possible.... 0409 4. 9183 6. 0949 3. 7522 3. 5057 3. 1420 8. 0696 6. 9420 4. 9000 2. 3000 4. 6000 3. 6000 3. 0125 6. 4000 Data Grou e 1 snd 2 Estimated Estimate Variance N. V. B. 7. 0132 2. 5695 2. 4500 1. 9650 1. 1785 1. 1500 6. 0342 2. 9019 . 6972...

Michelli, Frank Anthony

1968-01-01T23:59:59.000Z

52

Medical Image Reconstruction Using Kernel Based Methods  

E-Print Network [OSTI]

The image reconstruction problem consists in finding an approximation of a function f starting from its Radon transform Rf. This problem arises in the ambit of medical imaging when one tries to reconstruct the internal structure of the body, starting from its X-ray tomography. The classical approach to this problem is based on the Back-Projection Formula. This formula gives an analytical inversion of the Radon transform, provided that all the values of Rf are known. In applications only a discrete set of values of Rf is given, thus, one can only obtain an approximation of f. Another class of methods, called ART, can be used to solve the reconstruction problem. Following the ideas contained in ART, we try to apply the Hermite-Birkhoff interpolation to the reconstruction problem. It turns out that, since the Radon transform of a kernel basis function can be infinity, a regularization technique is needed. The method we present here is then based on positive definite kernel functions and it is very flexible thank...

Sironi, Amos

2011-01-01T23:59:59.000Z

53

Geometric representations in the developmental Monte Carlo transport code MC21  

SciTech Connect (OSTI)

The geometry kernel of the developmental Monte Carlo transport code MC21 is designed as a combination of the geometry capabilities of several existing Monte Carlo codes. This combination of capabilities is intended to meet efficiently the general requirements associated with in-core design products and, at the same time, be flexible enough to support highly general geometric models. This paper provides a description of the different geometry representations of MC21 and outlines how the geometric data is stored internally through the use of Fortran-90 data structures. Finally, two alternative geometric representations of a published BWR unit assembly model are discussed. Results for the two representations are contrasted, including k-effective results, relative memory footprints, and relative computational speeds. While total memory footprint is not noticeably reduced, results show significant speed advantages of one representation. (authors)

Donovan, T. [KAPL, Inc. - A Lockheed Martin Company, Schenectady, NY (United States); Tyburski, L. [Bechtel Bettis, Inc., West Mifflin, PA (United States)

2006-07-01T23:59:59.000Z

54

Fitting Reduced Rank Regression Models by Alternating Maximum Likelihoods  

E-Print Network [OSTI]

Fitting longitudinal reduced rank regression models byA J . (1965). Reduced-rank regression for the multivariateFITTING LONGITUDINAL REDUCED RANK REGRESSION MODELS BY

Jan de Leeuw

2011-01-01T23:59:59.000Z

55

Potential of support vector regression for optimization of lens system  

Science Journals Connector (OSTI)

Abstract Lens system design is an important factor in image quality. The main aspect of the lens system design methodology is the optimization procedure. Since optimization is a complex, non-linear task, soft computing optimization algorithms can be used. There are many tools that can be employed to measure optical performance, but the spot diagram is the most useful. The spot diagram gives an indication of the image of a point object. In this paper, the spot size radius is considered an optimization criterion. Intelligent soft computing scheme Support Vector Regression (SVR) is implemented. In this study, the polynomial and radial basis functions (RBF) are applied as the SVR kernel function to estimate the optimal lens system parameters. The performance of the proposed estimators is confirmed with the simulation results. The SVR results are then compared with other soft computing techniques. According to the results, a greater improvement in estimation accuracy can be achieved through the SVR with polynomial basis function compared to other soft computing methodologies. The SVR coefficient of determination R 2 with the polynomial function was 0.9975 and with the radial basis function the R 2 was 0.964. The new optimization methods benefit from the soft computing capabilities of global optimization and multi-objective optimization rather than choosing a starting point by trial and error and combining multiple criteria into a single criterion in conventional lens design techniques.

Torki A. Altameem; Vlastimir Nikoli?; Shahaboddin Shamshirband; Dalibor Petkovi?; Hossein Javidnia; Miss Laiha Mat Kiah; Abdullah Gani

2015-01-01T23:59:59.000Z

56

Heat kernel estimates on a connected sum of two copies of Rn  

E-Print Network [OSTI]

Heat kernel estimates on a connected sum of two copies of Rn along a surface of revolution inequality on connected sums 16 4 Heat kernel upper bound 19 4.1 General estimates . . . . . . . . . . . . . . . . . . . . . . . . . . 19 4.2 Heat kernel upper bound on Mn m, . . . . . . . . . . . . . . . . . 21 5 Dirichlet heat kernel

Grigor'yan, Alexander

57

Umbra's system representation.  

SciTech Connect (OSTI)

This document describes the Umbra System representation. Umbra System representation, initially developed in the spring of 2003, is implemented in Incr/Tcl using concepts borrowed from Carnegie Mellon University's Architecture Description Language (ADL) called Acme. In the spring of 2004 through January 2005, System was converted to Umbra 4, extended slightly, and adopted as the underlying software system for a variety of Umbra applications that support Complex Systems Engineering (CSE) and Complex Adaptive Systems Engineering (CASE). System is now a standard part Of Umbra 4. While Umbra 4 also includes an XML parser for System, the XML parser and Schema are not described in this document.

McDonald, Michael James

2005-07-01T23:59:59.000Z

58

Green's kernels for transmission problems in bodies with small inclusions  

E-Print Network [OSTI]

The uniform asymptotic approximation of Green's kernel for the transmission problem of antiplane shear is obtained for domains with small inclusions. The remainder estimates are provided. Numerical simulations are presented to illustrate the effectiveness of the approach.

Vladimir Maz'ya; Alexander Movchan; Michael Nieves

2010-05-24T23:59:59.000Z

59

Software Testing and Maintenance 1 Regression Testing  

E-Print Network [OSTI]

1 Software Testing and Maintenance 1 Regression Testing Introduction Test Selection Test Minimization Test Prioritization Summary Software Testing and Maintenance 2 What is it? Regression testing refers to the portion of the test cycle in which a program is tested to ensure that changes do not affect

Lei, Jeff Yu

60

V-169: Linux Kernel "iscsi_add_notunderstood_response()" Buffer Overflow  

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

9: Linux Kernel "iscsi_add_notunderstood_response()" Buffer 9: Linux Kernel "iscsi_add_notunderstood_response()" Buffer Overflow Vulnerability V-169: Linux Kernel "iscsi_add_notunderstood_response()" Buffer Overflow Vulnerability June 3, 2013 - 12:01am Addthis PROBLEM: Linux Kernel "iscsi_add_notunderstood_response()" Buffer Overflow Vulnerability PLATFORM: Linux Kernel 3.0.x Linux Kernel 3.2.x Linux Kernel 3.4.x Linux Kernel 3.9.x ABSTRACT: A vulnerability has been reported in Linux Kernel. REFERENCE LINKS: Secunia Advisory SA53670 Red Hat Bugzilla - Bug 968036 CVE-2013-2850 IMPACT ASSESSMENT: Medium DISCUSSION: The vulnerability is caused due to a boundary error within the "iscsi_add_notunderstood_response()" function (drivers/target/iscsi/iscsi_target_parameters.c) when parsing keys and can

Note: This page contains sample records for the topic "kernel regression representation" 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

U-226: Linux Kernel SFC Driver TCP MSS Option Handling Denial of Service  

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

6: Linux Kernel SFC Driver TCP MSS Option Handling Denial of 6: Linux Kernel SFC Driver TCP MSS Option Handling Denial of Service Vulnerability U-226: Linux Kernel SFC Driver TCP MSS Option Handling Denial of Service Vulnerability August 2, 2012 - 7:00am Addthis PROBLEM: Linux Kernel SFC Driver TCP MSS Option Handling Denial of Service Vulnerability PLATFORM: Linux Kernel 3.2.x ABSTRACT: The Linux kernel is prone to a remote denial-of-service vulnerability. reference LINKS: Secunia Advisory SA50081 Bugtraq ID: 54763 Vulnerability Report: Linux Kernel 3.2.x The Linux Kernel Archives Original Advisory CVE-2012-3412 IMPACT ASSESSMENT: Medium Discussion: A vulnerability has been reported in Linux Kernel, which can be exploited by malicious people to cause a DoS (Denial of Service). The vulnerability is caused due to an error in the Solarflare network

62

U-242: Linux Kernel Netlink SCM_CREDENTIALS Processing Flaw Lets Local  

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

2: Linux Kernel Netlink SCM_CREDENTIALS Processing Flaw Lets 2: Linux Kernel Netlink SCM_CREDENTIALS Processing Flaw Lets Local Users Gain Elevated Privileges U-242: Linux Kernel Netlink SCM_CREDENTIALS Processing Flaw Lets Local Users Gain Elevated Privileges August 23, 2012 - 7:00am Addthis PROBLEM: Linux Kernel Netlink SCM_CREDENTIALS Processing Flaw Lets Local Users Gain Elevated Privileges PLATFORM: Linux Kernel 3.2.x Linux Kernel 3.4.x Linux Kernel 3.5.x ABSTRACT: A vulnerability was reported in the Linux Kernel. reference LINKS: The Linux Kernel Archives SecurityTracker Alert ID: 1027434 Secunia Advisory SA50323 CVE-2012-3520 IMPACT ASSESSMENT: Medium Discussion: A local user can obtain elevated privileges on the target system. A local user may be able to send specially crafted Netlink messages to spoof SCM_CREDENTIALS and perform actions with elevated privileges.

63

Research of least squares support vector regression based on differential evolution algorithm in short-term load forecasting model  

Science Journals Connector (OSTI)

To improve the accuracy of short-term load forecasting a differential evolution algorithm (DE) based least squares support vector regression (LSSVR) method is proposed in this paper. Through optimizing the regularization parameter and kernel parameter of the LSSVR by DE a short-term load forecasting model which can take load affected factors such as meteorology weather and date types into account is built. The proposed LSSVR method is proved by implementing short-term load forecasting on the real historical data of Yangquan power system in China. The average forecasting error is less than 1.6% which shows better accuracy and stability than the traditional LSSVR and Support vector regression. The result of implementation of short-term load forecasting demonstrates that the hybrid model can be used in the short-term forecasting of the power system more efficiently.

2014-01-01T23:59:59.000Z

64

T-571: Linux Kernel dns_resolver Key Processing Error Lets Local Users Deny  

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

1: Linux Kernel dns_resolver Key Processing Error Lets Local 1: Linux Kernel dns_resolver Key Processing Error Lets Local Users Deny Services T-571: Linux Kernel dns_resolver Key Processing Error Lets Local Users Deny Services March 7, 2011 - 3:05pm Addthis PROBLEM: Linux Kernel dns_resolver Key Processing Error Lets Local Users Deny Services. PLATFORM: Linux Kernel 2.6.37 and prior versions ABSTRACT: A vulnerability was reported in the Linux Kernel. A local user can cause denial of service conditions. reference LINKS: SecurityTracker Alert ID:1025162 Latest Stable Kernel CVE-2011-1076 IMPACT ASSESSMENT: High Discussion: When a DNS resolver key is instantiated with an error indication, a local user can attempt to read the key to trigger a null pointer dereference and cause a kernel crash. A local user can cause the target system to crash.

65

U-086:Linux Kernel "/proc//mem" Privilege Escalation Vulnerability |  

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

U-086:Linux Kernel "/proc//mem" Privilege Escalation Vulnerability U-086:Linux Kernel "/proc//mem" Privilege Escalation Vulnerability U-086:Linux Kernel "/proc//mem" Privilege Escalation Vulnerability January 23, 2012 - 9:00am Addthis PROBLEM: Linux Kernel "/proc//mem" Privilege Escalation Vulnerability. PLATFORM: Linux Kernel 2.6.x ABSTRACT: A vulnerability has been discovered in the Linux Kernel, which can be exploited by malicious, local users to gain escalated privileges reference LINKS: Linux Kernel Update CVE-2012-0056 Red Hat Bugzilla Bug 782642 IMPACT ASSESSMENT: Medium Discussion: The vulnerability is caused due to the kernel not properly restricting access to "/proc//mem" file, which can be exploited to gain escalated privileges by e.g. writing into the memory of a privileged process.

66

V-098: Linux Kernel Extended Verification Module Bug Lets Local Users Deny  

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

8: Linux Kernel Extended Verification Module Bug Lets Local 8: Linux Kernel Extended Verification Module Bug Lets Local Users Deny Service V-098: Linux Kernel Extended Verification Module Bug Lets Local Users Deny Service February 25, 2013 - 12:12am Addthis PROBLEM: Linux Kernel Extended Verification Module Bug Lets Local Users Deny Service PLATFORM: The Linux Kernel prior to 3.7.5 ABSTRACT: A vulnerability was reported in the Linux Kernel. REFERENCE LINKS: The Linux Kernel Archives Linux Kernel Red Hat Bugzilla - Bug 913266 SecurityTracker Alert ID: 1028196 CVE-2013-0313 IMPACT ASSESSMENT: Medium DISCUSSION: A local user can exploit a null pointer dereference in the evm_update_evmxattr() function in 'security/integrity/evm/evm_crypto.c' to cause the target system to crash. IMPACT: A local user can cause denial of service conditions.

67

U-037: Linux Kernel NFSv4 ACL Attribute Processing Error Lets Remote Users  

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

7: Linux Kernel NFSv4 ACL Attribute Processing Error Lets 7: Linux Kernel NFSv4 ACL Attribute Processing Error Lets Remote Users Execute Arbitrary Code U-037: Linux Kernel NFSv4 ACL Attribute Processing Error Lets Remote Users Execute Arbitrary Code November 16, 2011 - 7:43am Addthis PROBLEM: Linux Kernel NFSv4 ACL Attribute Processing Error Lets Remote Users Execute Arbitrary Code. PLATFORM: Kernel version 2.6.x ABSTRACT: A remote server can cause the target connected client to crash. reference LINKS: The Linux Kernel Archives CVE-2011-4131 SecurityTracker Alert ID: 1026324 Linux Kernel [PATCH 1/1] NFSv4 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in the Linux Kernel. A remote user can cause denial of service conditions. Impact: A remote server can return specially crafted data to the connected target

68

T-669: Linux Kernel GFS2 Allocation Error Lets Local Users Deny...  

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

69: Linux Kernel GFS2 Allocation Error Lets Local Users Deny Service T-669: Linux Kernel GFS2 Allocation Error Lets Local Users Deny Service July 15, 2011 - 2:14am Addthis PROBLEM:...

69

T-601: Windows Kernel win32k.sys Lets Local Users Gain Elevated...  

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

01: Windows Kernel win32k.sys Lets Local Users Gain Elevated Privileges T-601: Windows Kernel win32k.sys Lets Local Users Gain Elevated Privileges April 13, 2011 - 5:12am Addthis...

70

Fault Diagnosis for Dynamic Nonlinear System Based on Kernel Principal Component Analysis  

Science Journals Connector (OSTI)

Kernel principal component analysis is a type of nonlinear principal component analysis, to decouple the nonlinear correlation of variables by using kernel functions and integral operators, and by computing the principal components in the high dimensional ...

Yanwei Huang; Xianbo Qiu

2009-04-01T23:59:59.000Z

71

U-037: Linux Kernel NFSv4 ACL Attribute Processing Error Lets...  

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

The Linux Kernel Archives CVE-2011-4131 SecurityTracker Alert ID: 1026324 Linux Kernel PATCH 11 NFSv4 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in the...

72

T-583: Linux Kernel OSF Partition Table Buffer Overflow Lets Local Users  

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

583: Linux Kernel OSF Partition Table Buffer Overflow Lets Local 583: Linux Kernel OSF Partition Table Buffer Overflow Lets Local Users Obtain Information T-583: Linux Kernel OSF Partition Table Buffer Overflow Lets Local Users Obtain Information March 18, 2011 - 5:15pm Addthis PROBLEM: A vulnerability was reported in the Linux Kernel. A local user can obtain information from kernel memory. PLATFORM: Version(s): 2.4.x, 2.6.x ABSTRACT: A local user can create a storage device with specially crafted OSF partition tables. When the kernel automatically evaluates the partition tables, a buffer overflow may occur and data from kernel heap space may leak to user-space. reference LINKS: http://www.securitytracker.com/id/1025225 CVE-2011-1163 http://www.kernel.org/ IMPACT ASSESSMENT: Moderate Discussion: A local user can create a storage device with specially crafted OSF

73

Covariant representations of the relativistic Brueckner T-matrix and the nuclear matter problem  

Science Journals Connector (OSTI)

We investigate nuclear matter properties in the relativistic Brueckner approach. The in-medium on-shell T-matrix is represented covariantly by five Lorentz invariant amplitudes from which we deduce directly the nucleon self-energy. We discuss the ambiguities of this approach and the failure of previously used covariant representations in reproducing the nucleon self-energies on the Hartree-Fock level. To enforce correct Hartree-Fock results we develop a subtraction scheme which treats the bare nucleon-nucleon potential exactly in accordance with the different types of meson exchanges. For the remaining ladder kernel, which contains the higher order correlations, we employ two different covariant representations in order to study the uncertainty inherent in the approach. The nuclear matter bulk properties are only slightly sensitive to the explicit representation used for the kernel. However, we obtain new Coester lines for the various Bonn potentials which are shifted towards the empirical region of saturation. In addition the nuclear equation-of-state turns out to be significantly softer in the new approach.

T. Gross-Boelting; C. Fuchs; Amand Faessler

1999-01-01T23:59:59.000Z

74

Covariant representations of the relativistic Brueckner T-matrix and the nuclear matter problem  

E-Print Network [OSTI]

We investigate nuclear matter properties in the relativistic Brueckner approach. The in-medium on-shell T-matrix is represented covariantly by five Lorentz invariant amplitudes from which we deduce directly the nucleon self-energy. We discuss the ambiguities of this approach and the failure of previously used covariant representations in reproducing the nucleon self-energies on the Hartree-Fock level. To enforce correct Hartree-Fock results we develop a subtraction scheme which treats the bare nucleon-nucleon potential exactly in accordance to the different types of meson exchanges. For the remaining ladder kernel, which contains the higher order correlations, we employ then two different covariant representations in order to study the uncertainty inherent in the approach. The nuclear matter bulk properties are only slightly sensitive on the explicit representation used for the kernel. However, we obtain new Coester lines for the various Bonn potentials which are shifted towards the empirical region of saturation. In addition the nuclear equation-of-state turns out to be significantly softer in the new approach.

T. Gross-Boelting; C. Fuchs; Amand Faessler

1998-10-27T23:59:59.000Z

75

Graded multiplicities in the Macdonald kernel, Part I John R. Stembridge  

E-Print Network [OSTI]

Graded multiplicities in the Macdonald kernel, Part I John R. Stembridge Department of Mathematics notation B. Motivation C. Outline 2. Degenerate Macdonald polynomials A. The decomposition matrix B G has a Macdonald kernel associated to it. This kernel is a bigraded virtual G-character depending

Stembridge, John

76

Heat kernels on metric measure spaces with regular volume Alexander Grigor'yan  

E-Print Network [OSTI]

Heat kernels on metric measure spaces with regular volume growth Alexander Grigor'yan Department In this survey we study heat kernel estimates of self-similar type on metric mea- sure spaces with regular volume and phrases. Heat kernel, metric measure space, maximum principle, heat semigroup Contents 1 Introduction 2 1

Grigor'yan, Alexander

77

Heat kernels on metric measure spaces with regular volume Alexander Grigor'yan #  

E-Print Network [OSTI]

Heat kernels on metric measure spaces with regular volume growth Alexander Grigor'yan # Department In this survey we study heat kernel estimates of self­similar type on metric mea­ sure spaces with regular volume and phrases. Heat kernel, metric measure space, maximum principle, heat semigroup Contents 1 Introduction 2 1

Grigor'yan, Alexander

78

Systematics of the Relationship between Vacuum Energy Calculations and Heat Kernel Coe#cients  

E-Print Network [OSTI]

Systematics of the Relationship between Vacuum Energy Calculations and Heat Kernel Coe#cients S. A Casimir energy is a nonlocal e#ect; its magnitude cannot be deduced from heat kernel expan­ sions, even in the regularized (but not yet renormalized) total vacuum energy are associated with the heat kernel coe

79

HEAT KERNEL ON A NON-COMPACT RIEMANNIAN MANIFOLD Alexander Grigor'yan  

E-Print Network [OSTI]

HEAT KERNEL ON A NON-COMPACT RIEMANNIAN MANIFOLD Alexander Grigor'yan Dedicated to E.M.Landis 0. Introduction This paper is a survey of some recent results on the heat kernel of a non-compact complete of properties of the heat kernel in different contexts. In the present paper, we are mainly concerned with a new

Grigor'yan, Alexander

80

HEAT KERNEL AND GREEN FUNCTION ESTIMATES ON NONCOMPACT SYMMETRIC SPACES II  

E-Print Network [OSTI]

HEAT KERNEL AND GREEN FUNCTION ESTIMATES ON NONCOMPACT SYMMETRIC SPACES II Jean­Philippe Anker, Amer. Math. Soc. (2001), 1­9 §1. Introduction For a complete Riemannian manifold, the heat kernel], [BGV] and the references there). Numerous results have been obtained for the heat kernel and Green

Boyer, Edmond

Note: This page contains sample records for the topic "kernel regression representation" 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

Application of Kernel Principal Component Analysis for Single Lead ECG-Derived Respiration  

E-Print Network [OSTI]

1 Application of Kernel Principal Component Analysis for Single Lead ECG-Derived Respiration Devy signal from ECGs. In this study, an improved ECG-derived respiration (EDR) algorithm based on kernel PCA ECGs. Index Terms--ECG-derived respiration (EDR), kernel princi- pal component analysis (kPCA). I

82

ARM - Evaluation Product - SASHE Langley Regressions  

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

ProductsSASHE Langley Regressions ProductsSASHE Langley Regressions Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : SASHE Langley Regressions Site(s) PVC SGP General Description The Shortwave Array Spectroradiometer Hemispheric (SAS-He) is a ground-based instrument that measures both direct and diffuse shortwave irradiance. In this regard, the instrument is similar to the Multi-Filter Rotating Shadowband Radiometer (MFRSR) - an instrument that has been in the ACRF stable for more than 15 years. However, the two instruments differ significantly in wavelength resolution and range. In particular, the SAS-He provides hyperspectral measurements from about 350 nm to 1700 nm at a wavelength resolution from 1 to several nanometers, while the MFRSR only

83

On the kernelization of ranking r-CSP in tournaments  

E-Print Network [OSTI]

A Ranking r-Constraint Satisfaction Problem (ranking r-CSP) consists of a ground set of vertices V, an arity r > 2, a parameter k and a constraint system c, where c is a function which maps rankings of r-sized subsets of V to {0,1}. The objective is to decide if there exists a ranking ? of the vertices satisfying all but at most k constraints. Famous ranking r-CSP include the Feedback Arc Set in Tournaments and Betweenness in Tournaments problems. We consider these problems from the kernelization viewpoint. We first prove that Feedback Arc Set in Bipartite Tournaments admits a kernel with O(k^2) vertices, improving the previous bound of O(k^3) vertices. Next, we prove that so-called l_r-simply characterized ranking r-CSP admit linear vertex-kernels whenever they admit constant-factor approximation algorithms. This implies that r-Betweenness in Tournaments and r-Transitive Feedback Arc Set In Tournaments admit linear vertex-kernels. Finally, we consider another generalization of Feedback Arc Set in Tournaments...

Perez, Anthony

2012-01-01T23:59:59.000Z

84

Customized Kernel Execution on Reconfigurable Hardware for Embedded Applications  

E-Print Network [OSTI]

1 Customized Kernel Execution on Reconfigurable Hardware for Embedded Applications Muhammad Z and power as well as to harness high performance in embedded systems, high utilization of the hardware in all aspects of everyday life. They normally consume small power and occupy few resources. Numerous

Ziavras, Sotirios G.

85

Improving the Energy Efficiency of the MANTIS Kernel  

E-Print Network [OSTI]

Improving the Energy Efficiency of the MANTIS Kernel Cormac Duffy1 , Utz Roedig2 , John Herbert1. The event-based TinyOS is more energy efficient than the multi-threaded MANTIS system. However, MANTIS, timeliness can be traded for energy efficiency by choosing the appropriate operating system. In this paper we

Sreenan, Cormac J.

86

An information theoretic approach of designing sparse kernel adaptive filters  

E-Print Network [OSTI]

complexities grow linearly with the number of training data, which poses a big problem for continuous of designing sparse kernel adaptive filters. To determine useful data to be learned and remove redundant ones efficiency by reducing the effective number of training data. The complexity of these algorithms ranges from

Slatton, Clint

87

PERI - Auto-tuning Memory Intensive Kernels for Multicore  

SciTech Connect (OSTI)

We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of search-based performance optimizations, popular in linear algebra and FFT libraries, to application-specific computational kernels. Our work applies this strategy to Sparse Matrix Vector Multiplication (SpMV), the explicit heat equation PDE on a regular grid (Stencil), and a lattice Boltzmann application (LBMHD). We explore one of the broadest sets of multicore architectures in the HPC literature, including the Intel Xeon Clovertown, AMD Opteron Barcelona, Sun Victoria Falls, and the Sony-Toshiba-IBM (STI) Cell. Rather than hand-tuning each kernel for each system, we develop a code generator for each kernel that allows us to identify a highly optimized version for each platform, while amortizing the human programming effort. Results show that our auto-tuned kernel applications often achieve a better than 4X improvement compared with the original code. Additionally, we analyze a Roofline performance model for each platform to reveal hardware bottlenecks and software challenges for future multicore systems and applications.

Bailey, David H; Williams, Samuel; Datta, Kaushik; Carter, Jonathan; Oliker, Leonid; Shalf, John; Yelick, Katherine; Bailey, David H

2008-06-24T23:59:59.000Z

88

Modeling human location data with mixtures of kernel densities  

Science Journals Connector (OSTI)

Location-based data is increasingly prevalent with the rapid increase and adoption of mobile devices. In this paper we address the problem of learning spatial density models, focusing specifically on individual-level data. Modeling and predicting a spatial ... Keywords: anomaly/novelty detection, kernel density estimation, probabilistic methods, social media, spatial, user modeling

Moshe Lichman, Padhraic Smyth

2014-08-01T23:59:59.000Z

89

Structural Testing Based on Minimum Kernels Elena Dubrova  

E-Print Network [OSTI]

Structural Testing Based on Minimum Kernels Elena Dubrova Royal Institute of Technology, IMIT/KTH, 164 46 Kista, Sweden Abstract Structural testing techniques, such as statement and branch coverage of tests which guarantees high coverage is a time-consuming task. In this paper we present a technique

Paris-Sud XI, Université de

90

Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection  

E-Print Network [OSTI]

Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection Alessia Albanese, Member, IEEE, Sankar with the outlier detection problem in spatiotemporal data and describe a rough set approach that finds the top outliers in an unlabeled spatiotemporal data set. The proposed method, called Rough Outlier Set Extraction

Pal, Sankar Kumar

91

Hierarchical kernel-based rotation and scale invariant similarity  

Science Journals Connector (OSTI)

Image similarity measure has been widely used in pattern recognition and computer vision. We usually face challenges in terms of rotation and scale changes. In order to overcome these problems, an effective similarity measure which is invariant to rotation ... Keywords: Hierarchical kernels, Image similarity measure, Log-polar transform, Rotation and scale invariance

Y. Y. Tang; Tian Xia; Yantao Wei; Hong Li; Luoqing Li

2014-04-01T23:59:59.000Z

92

Automated Detection of Persistent Kernel Control-Flow Attacks  

E-Print Network [OSTI]

enforcement as part of the Xen and VMware vir- tual machine monitors. Our implementation detected all directly, e.g., by using a virtual machine monitor or a separate card to examine kernel memory [14, 38, 23's main goal is to add surreptitious functionality to the system, then either this functionality

Hicks, Michael

93

Automated Detection of Persistent Kernel Control-Flow Attacks  

E-Print Network [OSTI]

machine monitors. Our implementation detected all the control-flow modifying rootkits we could install.g., by using a virtual machine monitor or a separate card to examine kernel memory [14, 37, 23], or may's main goal is to add surreptitious functionality to the system, then either this functionality

Hicks, Michael

94

Heat kernel estimates and related inequalities on metric graphs  

E-Print Network [OSTI]

We consider metric graphs with Kirchhoff boundary conditions. We study the intrinsic metric, volume doubling and a Poincar\\'e inequality. This enables us to prove a parabolic Harnack inequality. The proof involves various techniques from the theory of strongly local Dirichlet forms. Along our way we show Sobolev and Nash type inequalities and related heat kernel estimates.

Sebastian Haeseler

2011-01-15T23:59:59.000Z

95

Optical transformation from chirplet to fractional Fourier transformation kernel  

E-Print Network [OSTI]

We find a new integration transformation which can convert a chirplet function to fractional Fourier transformation kernel, this new transformation is invertible and obeys Parseval theorem. Under this transformation a new relationship between a phase space function and its Weyl-Wigner quantum correspondence operator is revealed.

Hong-yi Fan; Li-yun Hu

2009-02-11T23:59:59.000Z

96

Resolvent metrics and heat kernel estimates Andrs Telcs  

E-Print Network [OSTI]

are generalization of the resistance metric and provide uni...ed treatment of heat kernel estimates of sub), called resistance metric, which is quite natural in the analysis of the heat propagation. The particular beauty in his ...nding is that the the proof that function R (x; y) is a metric boils down to elementary

Telcs, András

97

Back from ICST 2011 Workshops (Regression 2011)  

E-Print Network [OSTI]

Testing Techniques: Challenges, Solutions and a Potential Way Forward (position paper) · Gregory: Multi Objective Regression Test Optimization (position paper) · Mark Harman, University College London · Designing for failure: Challenges for developing and testing complex systems of systems #12;Panel: Software

Yehudai, Amiram

98

Regression Kinetics of Mouse Skin Papillomas  

Science Journals Connector (OSTI)

...stronger tendency to regress. Roe et al. (8) have published...Skocik. APRIL 1976 1425 F. J. Burns et a!. REFERENCES 1. Berenblum...40: 823-846, 1968. 8. Roe, F. J. C., Carter, R...9. Salaman, M. H., and Roe, R. J. C. Carcinogenesis...

Fredric J. Burns; Martin Vanderlaan; Andrew Sivak; and Roy E. Albert

1976-04-01T23:59:59.000Z

99

U-056: Linux Kernel HFS Buffer Overflow Lets Local Users Gain Root  

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

6: Linux Kernel HFS Buffer Overflow Lets Local Users Gain Root 6: Linux Kernel HFS Buffer Overflow Lets Local Users Gain Root Privileges U-056: Linux Kernel HFS Buffer Overflow Lets Local Users Gain Root Privileges December 9, 2011 - 8:00am Addthis PROBLEM: Linux Kernel HFS Buffer Overflow Lets Local Users Gain Root Privileges. PLATFORM: Linux kernel ABSTRACT: A vulnerability was reported in the Linux Kernel. reference LINKS: The Linux Kernel Archives SecurityTracker Alert ID: 1026395 CVE-2011-4330 IMPACT ASSESSMENT: Medium Discussion: When a specially crafted Hierarchical File System (HFS) file system is mounted, a local user can to trigger a buffer overflow and execute arbitrary code on the target system with root privileges. The vulnerability resides in the hfs_mac2asc() function. Impact: A local user can obtain root privileges on the target system.

100

V-156: Linux Kernel Array Bounds Checking Flaw Lets Local Users Gain  

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

6: Linux Kernel Array Bounds Checking Flaw Lets Local Users 6: Linux Kernel Array Bounds Checking Flaw Lets Local Users Gain Elevated Privileges V-156: Linux Kernel Array Bounds Checking Flaw Lets Local Users Gain Elevated Privileges May 15, 2013 - 12:19am Addthis PROBLEM: Linux Kernel Array Bounds Checking Flaw Lets Local Users Gain Elevated Privileges PLATFORM: Version(s): 2.6.37 to 3.8.9 ABSTRACT: A vulnerability was reported in the Linux Kernel. REFERENCE LINKS: Linux Kernel SecurityTracker Alert ID: 1028565 CVE-2013-2094 IMPACT ASSESSMENT: Medium DISCUSSION: On systems compiled with PERF_EVENTS support, a local user can supply a specially crafted perf_event_open() call to execute arbitrary code on the target system with root privileges. The vulnerability resides in the perf_swevent_init() function in 'kernel/events/core.c'.

Note: This page contains sample records for the topic "kernel regression representation" 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

Two Stage Smooth Semi Parametric Quantile Regression  

E-Print Network [OSTI]

We propose a root n consistent estimator for ?0 when the qth conditional quantile of Y given X=x and Z=z takes the semi linear form g(x) + z??0 where g(.) is an unknown real valued function,?0 a finite dimensional parameter and (X,Z)a couple of explanatory variables.Importantly, our estimator attains,under homoscedasticity,the semi parametric efficiency bound.This estimation is conducted in two steps. First, a Robinsons like demeaning of the original model is employed which provides a new quantile regression whose nuisance terms are estimated via a non parametric procedure.In the second stage, the quantile regression is conducted by smoothing the check function.We show that the previous estimator belongs to a class of estimators we propose to name two stage smooth semi parametric quantile

J. M. Krief

2009-01-01T23:59:59.000Z

102

Air Leakage of US Homes: Regression  

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

Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit Wanyu R. Chan, Jeffrey Joh, and Max H. Sherman Environmental Energy Technologies Division Lawrence Berkeley National Laboratory University of California, Berkeley Berkeley, CA 94720 August 2012 LBNL-5966E 2 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the

103

U-210: Linux Kernel epoll_ctl() Bug Lets Local Users Deny Service |  

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

10: Linux Kernel epoll_ctl() Bug Lets Local Users Deny Service 10: Linux Kernel epoll_ctl() Bug Lets Local Users Deny Service U-210: Linux Kernel epoll_ctl() Bug Lets Local Users Deny Service July 11, 2012 - 7:00am Addthis PROBLEM: Linux Kernel epoll_ctl() Bug Lets Local Users Deny Service PLATFORM: Version(s): 2.6.x ABSTRACT: A vulnerability was reported in the Linux Kernel. A local user can cause denial of service conditions. reference LINKS: The Vendor's Advisory SecurityTracker Alert ID: 1027237 SecurityTracker Alert ID: 1027240 Red Hat advisory CVE-2012-3375 IMPACT ASSESSMENT: Medium Discussion: The Linux kernel's Event Poll (epoll) subsystem does not properly handle resource clean up when an ELOOP error code is returned. A local user can exploit this to cause the target system to crash. Impact: A local user can cause the target system to crash.

104

T-669: Linux Kernel GFS2 Allocation Error Lets Local Users Deny Service |  

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

69: Linux Kernel GFS2 Allocation Error Lets Local Users Deny 69: Linux Kernel GFS2 Allocation Error Lets Local Users Deny Service T-669: Linux Kernel GFS2 Allocation Error Lets Local Users Deny Service July 15, 2011 - 2:14am Addthis PROBLEM: A vulnerability was reported in the Linux Kernel. A local user can cause denial of service conditions. PLATFORM: 2.6.39 and prior versions ABSTRACT: Linux Kernel GFS2 Allocation Error Lets Local Users Deny Service. references LINKS: SecurityTracker Alert ID: 1025776 Linux Kernel Updates CVE-2011-2689 IMPACT ASSESSMENT: Medium Discussion: A local user can invoke the gfs2_fallocate() function in 'fs/gfs2/file.c' in certain cases to allocate a non-blksize aligned amount, resulting in an error in subsequent code that requires blksize aligned offsets. Impact: A local user can cause denial of service conditions on the target system.

105

T-567: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users  

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

7: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local 7: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users Gain Elevated Privileges T-567: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users Gain Elevated Privileges March 1, 2011 - 6:44pm Addthis PROBLEM: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users Gain Elevated Privileges . PLATFORM: Linux Kernel 2.4.x, 2.6.x ABSTRACT: A vulnerability was reported in the Linux Kernel. A local user may be able to obtain elevated privileges on the target system. A physically local user can connect a storage device with a specially crafted LDM partition table to trigger a buffer overflow in the ldm_frag_add() function in 'fs/partitions/ldm.c' and potentially execute arbitrary code with elevated privileges. reference LINKS: Security Tracker - Alert ID: 1025128

106

U-080: Linux Kernel XFS Heap Overflow May Let Remote Users Execute  

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

80: Linux Kernel XFS Heap Overflow May Let Remote Users Execute 80: Linux Kernel XFS Heap Overflow May Let Remote Users Execute Arbitrary Code U-080: Linux Kernel XFS Heap Overflow May Let Remote Users Execute Arbitrary Code January 12, 2012 - 9:00am Addthis PROBLEM: Linux Kernel XFS Heap Overflow May Let Remote Users Execute Arbitrary Code PLATFORM: Linux ABSTRACT: A vulnerability was reported in the Linux Kernel. A remote user can cause arbitrary code to be executed on the target user's system. reference LINKS: Linux Kernel Update SecurityTracker Alert ID: 1026512 CVE-2012-0038 Red Hat Bugzilla Bug 773280 IMPACT ASSESSMENT: Medium Discussion: A remote user can create a filesystem that, when mounted by the target user, will execute arbitrary code on the target user's system. Impact: A remote user can create a specially crafted filesystem that, when mounted

107

T-567: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users  

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

7: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local 7: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users Gain Elevated Privileges T-567: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users Gain Elevated Privileges March 1, 2011 - 6:44pm Addthis PROBLEM: Linux Kernel Buffer Overflow in ldm_frag_add() May Let Local Users Gain Elevated Privileges . PLATFORM: Linux Kernel 2.4.x, 2.6.x ABSTRACT: A vulnerability was reported in the Linux Kernel. A local user may be able to obtain elevated privileges on the target system. A physically local user can connect a storage device with a specially crafted LDM partition table to trigger a buffer overflow in the ldm_frag_add() function in 'fs/partitions/ldm.c' and potentially execute arbitrary code with elevated privileges. reference LINKS: Security Tracker - Alert ID: 1025128

108

Computationally efficient Gaussian Process changepoint detection and regression  

E-Print Network [OSTI]

Most existing GP regression algorithms assume a single generative model, leading to poor performance when data are nonstationary, i.e. generated from multiple switching processes. Existing methods for GP regression over ...

Grande, Robert Conlin

2014-01-01T23:59:59.000Z

109

Testing regression models with residuals as data by Xia Hua.  

E-Print Network [OSTI]

Abstract In polynomial regression ... . In this thesis, I developed a residual based test, the turning point test for residuals, which tests the hypothesis that the kth order polynomial regression holds with ... while the ...

Hua, Xia, Ph. D. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

110

Hybrid Reasoning and the Future of Iconic Representations  

E-Print Network [OSTI]

Hybrid Reasoning and the Future of Iconic Representations Catherine RECANATI LIPN ­ CNRS UMR 7030 representation. Iconic representation, Analogical representation. Hybrid representation systems. Cognitive icons and represented objects. In many cases, this homomorphism yields to a very strong property called

Paris-Sud XI, Université de

111

Efficient inference in general semiparametric regression models  

E-Print Network [OSTI]

Conclusions ................. 33 II.5.3.1. Can Semiparametric Methods Improve Upon the Sample Mean? .......... 34 II.5.3.2. How Critical Are Our Assumptions on Z?35 III TESTING IN SEMIPARAMETRIC MODELS WITH IN- TERACTION ............................ 38 III.1... ........................................ 134 x LIST OF TABLES TABLE Page 1. Significance levels (p-values) of the test for genetic e?ects in a regression model in which Z is years since stopped smoking. ..... 68 2. Mean, empirical standard errors (emp s.e.), root mean squared error (RMSE...

Maity, Arnab

2009-05-15T23:59:59.000Z

112

Systematic analysis of integral kernels in generator coordinate theories for nucleus-nucleus scattering  

Science Journals Connector (OSTI)

The structure of generator coordinate kernels for nucleus-nucleus scattering is analyzed with respect to various particle exchange contributions due to antisymmetrization. This analysis leads to an algorithm for a systematic computation of the kernels, and is suitable for revealing their analytical form. The method may be used as a guideline for computer aided symbolic algebra calculations.NUCLEAR REACTIONS Classification of GC integral kernels with respect to particle exchange. Systematic computation.

H. R. Fiebig and W. Timm

1982-12-01T23:59:59.000Z

113

Time-warped Geodesic Regression , Nikhil Singh1  

E-Print Network [OSTI]

Time-warped Geodesic Regression Yi Hong1 , Nikhil Singh1 , Roland Kwitt3 , and Marc Niethammer1,2 1 geodesic regression with parametric time-warps. This allows, for example, to capture saturation effects. We demonstrate that by augmenting geodesic regression with parametric time-warp functions, we can

114

Rank Estimation in ReducedRank Regression Efstathia Bura  

E-Print Network [OSTI]

Rank Estimation in Reduced­Rank Regression Efstathia Bura Department of Statistics, The George, University of Minnesota, St. Paul, MN 55108 E­mail: dennis@stat.umn.edu Reduced rank regression assumes that the coe#cient matrix in a multi­ variate regression model is not of full rank. The unknown rank

Bura, Efstathia

115

Bootstrap bandwidth selection in kernel hazard rate estimation / S. Jansen van Vuuren.  

E-Print Network [OSTI]

??The purpose of this study is to thoroughly discuss kernel hazard function estimation, both in the complete sample case as well as in the presence (more)

Van Vuuren, Stefan Jansen

2011-01-01T23:59:59.000Z

116

Kernel density estimation of reliability with applications to extreme value distribution.  

E-Print Network [OSTI]

??In the present study, we investigate kernel density estimation (KDE) and its application to the Gumbel probability distribution. We introduce the basic concepts of reliability (more)

Miladinovic, Branko

2008-01-01T23:59:59.000Z

117

Representation of Ideal Magnetohydrodynamic Modes  

SciTech Connect (OSTI)

One of the most fundamental properties of ideal magnetohydrodynamics is the condition that plasma motion cannot change magnetic topology. The conventional representation of ideal magnetohydrodynamic modes by perturbing a toroidal equilibrium field through ? ? = ? X (xi X B) ensures that ? B ? ? = 0 at a resonance, with ? labelling an equilibrium flux surface. Also useful for the analysis of guiding center orbits in a perturbed field is the representation ? ? = ? X ?B. These two representations are equivalent, but the vanishing of ? B ?? at a resonance is necessary but not sufficient for the preservation of field line topology, and a indiscriminate use of either perturbation in fact destroys the original equilibrium flux topology. It is necessary to find the perturbed field to all orders in xi to conserve the original topology. The effect of using linearized perturbations on stability and growth rate calculations is discussed

Roscoe B. White

2013-01-15T23:59:59.000Z

118

Heat kernel, effective action and anomalies in noncommutative theories  

E-Print Network [OSTI]

Being motivated by physical applications (as the phi^4 model) we calculate the heat kernel coefficients for generalised Laplacians on the Moyal plane containing both left and right multiplications. We found both star-local and star-nonlocal terms. By using these results we calculate the large mass and strong noncommutativity expansion of the effective action and of the vacuum energy. We also study the axial anomaly in the models with gauge fields acting on fermions from the left and from the right.

Dmitri V. Vassilevich

2005-07-13T23:59:59.000Z

119

Development and validation of regression models to predict monthly heating demand for residential buildings  

Science Journals Connector (OSTI)

The present research work concerns development of regression models to predict the monthly heating demand for single-family residential sector in temperate climates, with the aim to be used by architects or design engineers as support tools in the very first stage of their projects in finding efficiently energetic solutions. Another interest to use such simplified models is to make it possible a very quick parametric study in order to optimize the building structure versus environmental or economic criteria. All the energy prediction models were based on an extended database obtained by dynamic simulations for 16 major cities of France. The inputs for the regression models are the building shape factor, the building envelope U-value, the window to floor area ratio, the building time constant and the climate which is defined as function of the sol-air temperature and heating set-point. If the neural network (NN) methods could give precise representations in predicting energy use, with the advantage that they are capable of adjusting themselves to unexpected pattern changes in the incoming data, the multiple regression analysis was also found to be an efficient method, nevertheless with the requirement that an extended database should be used for the regression. The validation is probably the most important level when trying to find prediction models, so 270 different scenarios are analysed in this research work for different inputs of the models. It has been established that the energy equations obtained can do predictions quite well, a maximum deviation between the predicted and the simulated is noticed to be 5.1% for Nice climate, with an average error of 2%. In this paper, we also show that is possible to predict the building heating demand even for more complex scenarios, when the construction is adjacent to non-heated spaces, basements or roof attics.

Tiberiu Catalina; Joseph Virgone; Eric Blanco

2008-01-01T23:59:59.000Z

120

Selection of Haploid Maize Kernels from Hybrid Kernels for Plant Breeding Using Near-Infrared Spectroscopy and SIMCA Analysis  

SciTech Connect (OSTI)

Samples of haploid and hybrid seed from three different maize donor genotypes after maternal haploid induction were used to test the capability of automated near-infrared transmission spectroscopy to individually differentiate haploid from hybrid seeds. Using a two-step chemometric analysis in which the seeds were first classified according to genotype and then the haploid or hybrid status was determined proved to be the most successful approach. This approach allowed 11 of 13 haploid and 25 of 25 hybrid kernels to be correctly identified from a mixture that included seeds of all the genotypes.

Jones, Roger W.; Reinot, Tonu; Frei, Ursula K.; Tseng, Yichia; Lbberstedt, Thomas; McClelland, John F.

2012-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Cultivar and E-Beam irradiation effects on phytochemical content and antioxidant properties of pecan kernels  

E-Print Network [OSTI]

. Kernels from the same cultivar but different location differed in their fatty acid composition but had similar TP. Irradiation of Kanza and Desirable kernels with 1.5 and 3.0 kGy had no detrimental effects on AC and TP by the end of experiments...

Villarreal Lozoya, Jose Emilio

2009-05-15T23:59:59.000Z

122

Handling Ambiguity via Input-Output Kernel Learning Xinxing Xu Ivor W. Tsang Dong Xu  

E-Print Network [OSTI]

of Computer Engineering, Nanyang Technological University, Singapore xuxi0006@ntu.edu.sg IvorTsang@ntu.edu.sg dongxu@ntu.edu.sg Abstract--Data ambiguities exist in many data mining and machine learning applications the effectiveness of our proposed IOKL framework. Keywords-Group Multiple Kernel Learning; Input-Output Kernel

Tsang Wai Hung "Ivor"

123

Graph Kernels Based on Relevant Patterns and Cycle Information for Chemoinformatics  

E-Print Network [OSTI]

by combining relevant cycles and newly discovered cycles. Horv´ath showed that a low number of iterationsGraph Kernels Based on Relevant Patterns and Cycle Information for Chemoinformatics Benoit Ga of view, graph kernels provide a nice framework for combining these two fields. We present in this paper

Boyer, Edmond

124

The kernel average for two convex functions and its application to ...  

E-Print Network [OSTI]

May 9, 2007 ... Definition 1.1 (kernel average) Let f1,f2,g ? ?(X), ?1 + ?2 = 1 with ?1,?2 > 0 ... We call this the average of f1 and f2 with respect to the kernel g or...

2007-05-09T23:59:59.000Z

125

STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS  

E-Print Network [OSTI]

STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS JASON FULMAN Abstract. Combining Stein's method with heat kernel techniques, we show that the trace of the jth power There is a large literature on the traces of powers of random elements of compact Lie groups. One of the earliest

Fulman, Jason

126

STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS  

E-Print Network [OSTI]

STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS JASON FULMAN Abstract. Combining Stein's method with heat kernel techniques, we show that the trace of the jth power on the traces of powers of random elements of compact Lie groups. One of the earliest results is due to Diaconis

Fulman, Jason

127

TORCH Computational Reference Kernels - A Testbed for Computer Science Research  

SciTech Connect (OSTI)

For decades, computer scientists have sought guidance on how to evolve architectures, languages, and programming models in order to improve application performance, efficiency, and productivity. Unfortunately, without overarching advice about future directions in these areas, individual guidance is inferred from the existing software/hardware ecosystem, and each discipline often conducts their research independently assuming all other technologies remain fixed. In today's rapidly evolving world of on-chip parallelism, isolated and iterative improvements to performance may miss superior solutions in the same way gradient descent optimization techniques may get stuck in local minima. To combat this, we present TORCH: A Testbed for Optimization ResearCH. These computational reference kernels define the core problems of interest in scientific computing without mandating a specific language, algorithm, programming model, or implementation. To compliment the kernel (problem) definitions, we provide a set of algorithmically-expressed verification tests that can be used to verify a hardware/software co-designed solution produces an acceptable answer. Finally, to provide some illumination as to how researchers have implemented solutions to these problems in the past, we provide a set of reference implementations in C and MATLAB.

Kaiser, Alex; Williams, Samuel Webb; Madduri, Kamesh; Ibrahim, Khaled; Bailey, David H.; Demmel, James W.; Strohmaier, Erich

2010-12-02T23:59:59.000Z

128

Heat Kernel for Fractional Diffusion Operators with Perturbations  

E-Print Network [OSTI]

Let $L$ be an elliptic differential operator on a complete connected Riemannian manifold $M$ such that the associated heat kernel has two-sided Gaussian bounds as well as a Gaussian type gradient estimate. Let $L^{(\\aa)}$ be the $\\aa$-stable subordination of $L$ for $\\aa\\in (1,2).$ We found some classes $\\mathbb K_\\aa^{\\gg,\\bb} (\\bb,\\gg\\in [0,\\aa))$ of time-space functions containing the Kato class, such that for any measurable $b: [0,\\infty)\\times M\\to TM$ and $c: [0,\\infty)\\times M\\to M$ with $|b|, c\\in \\mathbb K_\\aa^{1,1},$ the operator $$L_{b,c}^{(\\aa)}(t,x):= L^{(\\aa)}(x)+ +c(t,x),\\ \\ (t,x)\\in [0,\\infty)\\times M$$ has a unique heat kernel $p_{b,c}^{(\\aa)}(t,x;s,y), 0\\le s1$, where $\\rr$ is the Riemannian distance. The estimate of $\

Feng-Yu Wang; Xicheng Zhang

2012-04-23T23:59:59.000Z

129

U-068:Linux Kernel SG_IO ioctl Bug Lets Local Users Gain Elevated  

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

8:Linux Kernel SG_IO ioctl Bug Lets Local Users Gain Elevated 8:Linux Kernel SG_IO ioctl Bug Lets Local Users Gain Elevated Privileges U-068:Linux Kernel SG_IO ioctl Bug Lets Local Users Gain Elevated Privileges December 23, 2011 - 8:45am Addthis PROBLEM: Linux Kernel SG_IO ioctl Bug Lets Local Users Gain Elevated Privileges PLATFORM: Red Hat Enterprise Linux Desktop (v. 6) Red Hat Enterprise Linux HPC Node (v. 6) Red Hat Enterprise Linux Server (v. 6) Red Hat Enterprise Linux Server AUS (v. 6.2) Red Hat Enterprise Linux Server EUS (v. 6.2.z) Red Hat Enterprise Linux Workstation (v. 6) ABSTRACT: A local privileged user on the guest operating system can obtain elevated privileges on the target system. reference LINKS: Red Hat kernel security and bug fix update SecurityTracker Alert ID: 1026453 SecurityTracker Alert ID: 1026454

130

T-667: Red Hat Enterprise Linux kernel security and bug fix update |  

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

7: Red Hat Enterprise Linux kernel security and bug fix update 7: Red Hat Enterprise Linux kernel security and bug fix update T-667: Red Hat Enterprise Linux kernel security and bug fix update July 13, 2011 - 7:24am Addthis PROBLEM: Red Hat Enterprise Linux kernel security and bug fix update PLATFORM: Vulnerable Linux Kernels; Red Hat Enterprise Linux Desktop (v. 6), Red Hat Enterprise Linux HPC Node (v. 6), Red Hat Enterprise Linux Server (v. 6), Red Hat Enterprise Linux Server EUS (v. 6.1.z), Red Hat Enterprise Linux Workstation (v. 6) ABSTRACT: It was found that the receive hook in the ipip_init() function in the ipip module, and in the ipgre_init() function in the ip_gre module, could be called before network namespaces setup is complete. If packets were received at the time the ipip or ip_gre module was still being loaded into

131

T-700:Red Hat: kernel security, bug fix, and enhancement update |  

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

700:Red Hat: kernel security, bug fix, and enhancement update 700:Red Hat: kernel security, bug fix, and enhancement update T-700:Red Hat: kernel security, bug fix, and enhancement update August 24, 2011 - 3:45pm Addthis PROBLEM: Updated kernel packages that fix several security issues, various bugs, and add two enhancements are now available for Red Hat Enterprise Linux 6. PLATFORM: Red Hat Enterprise Linux Desktop (v. 6) Red Hat Enterprise Linux HPC Node (v. 6) Red Hat Enterprise Linux Server (v. 6) Red Hat Enterprise Linux Server EUS (v. 6.1.z) Red Hat Enterprise Linux Workstation (v. 6) ABSTRACT: Red Hat: kernel security, bug fix, and enhancement update. reference LINKS: RHSA-2011: 1189-1 Secunia Advisory: SA45746 Red Hat Download CVE-2011-1182 , CVE-2011-1576 CVE-2011-1593 , CVE-2011-1776 CVE-2011-1898 , CVE-2011-2183

132

Using Enhanced Spherical Images for Object Representation  

E-Print Network [OSTI]

The processes involved in vision, manipulation, and spatial reasoning depend greatly on the particular representation of three-dimensional objects used. A novel representation, based on concepts of differential geometry, ...

Smith, David A.

1979-05-01T23:59:59.000Z

133

SimpleNPKL : Simple Non-Parametric Kernel Learning Jinfeng Zhuang ZHUA0016@NTU.EDU.SG  

E-Print Network [OSTI]

SimpleNPKL : Simple Non-Parametric Kernel Learning Jinfeng Zhuang ZHUA0016@NTU.EDU.SG Ivor W. Tsang IVORTSANG@NTU.EDU.SG Steven C.H. Hoi CHHOI@NTU.EDU.SG School of Computer Engineering, Nanyang Technological-of-the-art perfor- mance. The choice of an effective kernel plays a crucial role in many kernel based machine

Tsang Wai Hung "Ivor"

134

Efficient Exploitation of Kernel Access to Infiniband: a Software DSM Example Liran Liss, Yitzhak Birk and Assaf Schuster  

E-Print Network [OSTI]

1 Efficient Exploitation of Kernel Access to Infiniband: a Software DSM Example Liran Liss, Yitzhak of these services. We assess this approach using a sequential-consistency Distributed Shared Memory (DSM) system the primitives to form a kernel DSM protocol. The approach is evaluated using our full-fledged Linux kernel DSM

135

Heat kernels on metric spaces with doubling Alexander Grigor'yan, Jiaxin Hu and Ka-Sing Lau  

E-Print Network [OSTI]

Heat kernels on metric spaces with doubling measure Alexander Grigor'yan, Jiaxin Hu and Ka-Sing Lau Abstract. In this survey we discuss heat kernel estimates of self-similar type on metric spaces with doubling measures. We characterize the tail functions from heat kernel estimates in both non

Hu, Jiaxin

136

Heat kernels on metric spaces with doubling measure Alexander Grigor'yan, Jiaxin Hu and Ka-Sing Lau  

E-Print Network [OSTI]

Heat kernels on metric spaces with doubling measure Alexander Grigor'yan, Jiaxin Hu and Ka-Sing Lau Abstract. In this survey we discuss heat kernel estimates of self-similar type on metric spaces with doubling measures. We characterize the tail functions from heat kernel estimates in both non

Grigor'yan, Alexander

137

FABRICATION OF URANIUM OXYCARBIDE KERNELS AND COMPACTS FOR HTR FUEL  

SciTech Connect (OSTI)

As part of the program to demonstrate tristructural isotropic (TRISO)-coated fuel for the Next Generation Nuclear Plant (NGNP), Advanced Gas Reactor (AGR) fuel is being irradiation tested in the Advanced Test Reactor (ATR) at Idaho National Laboratory (INL). This testing has led to improved kernel fabrication techniques, the formation of TRISO fuel particles, and upgrades to the overcoating, compaction, and heat treatment processes. Combined, these improvements provide a fuel manufacturing process that meets the stringent requirements associated with testing in the AGR experimentation program. Researchers at Idaho National Laboratory (INL) are working in conjunction with a team from Babcock and Wilcox (B&W) and Oak Ridge National Laboratory (ORNL) to (a) improve the quality of uranium oxycarbide (UCO) fuel kernels, (b) deposit TRISO layers to produce a fuel that meets or exceeds the standard developed by German researches in the 1980s, and (c) develop a process to overcoat TRISO particles with the same matrix material, but applies it with water using equipment previously and successfully employed in the pharmaceutical industry. A primary goal of this work is to simplify the process, making it more robust and repeatable while relying less on operator technique than prior overcoating efforts. A secondary goal is to improve first-pass yields to greater than 95% through the use of established technology and equipment. In the first test, called AGR-1, graphite compacts containing approximately 300,000 coated particles were irradiated from December 2006 to November 2009. The AGR-1 fuel was designed to closely replicate many of the properties of German TRISO-coated particles, thought to be important for good fuel performance. No release of gaseous fission product, indicative of particle coating failure, was detected in the nearly 3-year irradiation to a peak burn up of 19.6% at a time-average temperature of 10381121C. Before fabricating AGR-2 fuel, each fabrication process was improved and changed. Changes to the kernel fabrication process included replacing the carbon black powder feed with a surface-modified carbon slurry and shortening the sintering schedule. AGR-2 TRISO particles were produced in a 6-inch diameter coater using a charge size about 21-times that of the 2-inch diameter coater used to coat AGR-1 particles. The compacting process was changed to increase matrix density and throughput by increasing the temperature and pressure of pressing and using a different type of press. AGR-2 fuel began irradiation in the ATR in late spring 2010.

Dr. Jeffrey A. Phillips; Eric L. Shaber; Scott G. Nagley

2012-10-01T23:59:59.000Z

138

Bremsstrahlung Regge-Type Representation  

SciTech Connect (OSTI)

We report a new approach to describe the features of the bremsstrahlung process in electron-atom interaction. The method employs a modification of the Watson transform. We rewrite the partial wave sum in the form of a contour integral in the complex l-plane and we identify contributions due to particular singularities of the elastic scattering S-matrix considered as a function of complex angular momenta. The behavior of the trajectories of these poles, known as Regge poles, as a function of electron energy, exhibits common features for a broad class of potentials, making the representation useful for description of the general features of the bremsstrahlung cross section. We demonstrate that the extent of classical-quantum correspondence for free-free radiative transitions can be assessed using this representation.

Uskov, D.B. [Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260 (United States); P.N.Lebedev Physical Institute, 119991 Moscow (Russian Federation); Pratt, R.H. [Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260 (United States)

2003-08-26T23:59:59.000Z

139

Plain representations of Lie algebras A.A. Baranov  

E-Print Network [OSTI]

Plain representations of Lie algebras A such representations plain (Definition 1.1). Infor* *mally, we show that the theory of plain representations algebras that are of com* *plexity comparable with that of representations of associative algebras. Non-plain

Baranov, Alexander

140

Hohenberg-Kohn kernel K(r-r)  

Science Journals Connector (OSTI)

In a classic paper Hohenberg and Kohn wrote the energy of an electron gas as a functional of the charge density n(r): E[n]= F v(r)n(r)dr+(1/2 F [n(r)n(r)/?r-r?]dr dr+G[n]. For a gas of almost constant density, n(r)=n0+(r) with (r)/n0?1 they expanded G[n]=G[n0]+ F K(r-r)(r)(r)dr dr+.... The kernel K(r) may be written as a sum of kinetic, exchange, and correlation terms, K(r)=Ks(r)+Kx(r)+Kc(r). We present here graphs of Ks(r) and Kx(r) which are exact to within our numerical accuracy.

D. M. Bylander and Leonard Kleinman

1987-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Geodesic image regression with a sparse parameterization of diffeomorphisms  

E-Print Network [OSTI]

Geodesic image regression with a sparse parameterization of diffeomorphisms James Fishbaugh1 statistical analysis on longitudinal images. Geodesic models are particularly well suited for statistical, existing geodesic im- age regression models are parameterized by a large number of initial momenta, equal

Gerig, Guido

142

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

resources resulting in water stress. Effective water management ­ a solution Supply side management Demand side management #12;Developing a regression equation based on cluster analysis for forecasting waterFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil

Keller, Arturo A.

143

Regression Testing Minimisation, Selection and Prioritisation : A Survey  

E-Print Network [OSTI]

Regression Testing Minimisation, Selection and Prioritisation : A Survey Shin Yoo, Mark Harman King's College London, Centre for Research on Evolution, Search & Testing, Strand, London, WC2R 2LS, UK ABSTRACT Regression testing is a testing activity that is performed to provide confidence that changes do not harm

Singer, Jeremy

144

Feature selection in high dimensional regression problems for genomics  

E-Print Network [OSTI]

Feature selection in high dimensional regression problems for genomics Julie Hamon1,2,3 , Clarisse, France julien.jacques@lifl.fr Abstract. In the context of genomic selection in animal breeding and "closed to real" datasets. Keywords: Feature selection, combinatorial optimization, regression, genomic. 1

Paris-Sud XI, Université de

145

New operator approach to the CMB aberration kernels in harmonic space  

E-Print Network [OSTI]

Aberration kernels describe how harmonic-space multipole coefficients of cosmic microwave background (CMB) observables transform under Lorentz boosts of the reference frame. For spin-weighted CMB observables, transforming like the CMB temperature (i.e. Doppler weight $d = 1$), we show that the aberration kernels are the matrix elements of a unitary boost operator in harmonic space. Algebraic properties of the rotation and boost generators then give simple, exact recursion relations that allow us to raise or lower the multipole quantum numbers $\\ell$ and $m$, and the spin weight $s$. Further recursion relations express kernels of other Doppler weights $d \

Liang Dai; Jens Chluba

2014-03-24T23:59:59.000Z

146

An integrated fuzzy regression algorithm for improved electricity consumption estimation  

Science Journals Connector (OSTI)

This study presents an integrated fuzzy regression and time-series technique to estimate and predict electricity demand. Furthermore, it is difficult to model uncertain behaviour of energy consumption with only conventional time-series and fuzzy regression, which could be an ideal substitute for such cases. After reviewing various fuzzy regression models and studying their advantages and shortcomings, the best model is selected. Also, the impact of data preprocessing and post-processing on the fuzzy regression performance is to study and to show that this method does not contribute to the efficiency of the model. In addition, another unique feature of this study is utilisation of autocorrelation function to define input variables versus trial and error method. At last, the comparison of actual data with fuzzy regression and ARIMA model, using Granger??Newbold test, is achieved. Monthly electricity consumption of Iran from 1995 to 2005 is considered as the case of this study.

Ali Azadeh; Morteza Saberi; Anahita Gitiforouz

2010-01-01T23:59:59.000Z

147

Thesaurus construction through knowledge representation  

Science Journals Connector (OSTI)

Semantic metadata describing subject content plays a vital role in supporting indexing and retrieval in Digital Libraries. Mechanisms used to deliver this metadata include keyword collections, thesauri and classifications. Constructing a large thesaurus, however, is a difficult process which can be facilitated through the application of knowledge representation techniques developed for managing and reasoning about concepts. We describe such a scheme a Description Logic (DL) and show through an example how a DL can play a part in the classification construction process, aiding in the production of coherent hierarchies and ensuring that the relationships represented in a thesaurus are sensible.

Sean Bechhofer; Carole Goble

2001-01-01T23:59:59.000Z

148

T-601: Windows Kernel win32k.sys Lets Local Users Gain Elevated Privileges  

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

01: Windows Kernel win32k.sys Lets Local Users Gain Elevated 01: Windows Kernel win32k.sys Lets Local Users Gain Elevated Privileges T-601: Windows Kernel win32k.sys Lets Local Users Gain Elevated Privileges April 13, 2011 - 5:12am Addthis PROBLEM: Windows Kernel win32k.sys Lets Local Users Gain Elevated Privileges PLATFORM: Windows XP Service Pack 3, Windows XP Professional x64 Edition Service Pack 2, Windows Server 2003 Service Pack 2, Windows Server 2003 x64 Edition Service Pack 2, Windows Server 2003 with SP2 for Itanium-based Systems, Windows Vista Service Pack 1 and Windows Vista Service Pack 2, Windows Vista x64 Edition Service Pack 1 and Windows Vista x64 Edition Service Pack 2, Windows Server 2008 for 32-bit Systems and Windows Server 2008 for 32-bit Systems Service Pack 2*, Windows Server 2008 for x64-based Systems

149

Fatty acid compositions of lipids from corn and grain sorghum kernels  

Science Journals Connector (OSTI)

Characteristics and fatty acid compositions of the lipid components of the main fractions (germ, starch, gluten, and fiber) obtained in the wet milling of corn and grain sorghum kernels have been determined.

A. R. Baldwin; M. S. Sniegowski

1951-01-01T23:59:59.000Z

150

Exploring syntactic structural features for sub-tree alignment using bilingual tree kernels  

Science Journals Connector (OSTI)

We propose Bilingual Tree Kernels (BTKs) to capture the structural similarities across a pair of syntactic translational equivalences and apply BTKs to sub-tree alignment along with some plain features. Our study reveals that the structural features ...

Jun Sun; Min Zhang; Chew Lim Tan

2010-07-01T23:59:59.000Z

151

Systematics of the Relationship between Vacuum Energy Calculations and Heat Kernel Coefficients  

E-Print Network [OSTI]

Casimir energy is a nonlocal effect; its magnitude cannot be deduced from heat kernel expansions, even those including the integrated boundary terms. On the other hand, it is known that the divergent terms in the regularized (but not yet renormalized) total vacuum energy are associated with the heat kernel coefficients. Here a recent study of the relations among the eigenvalue density, the heat kernel, and the integral kernel of the operator $e^{-t\\sqrt{H}}$ is exploited to characterize this association completely. Various previously isolated observations about the structure of the regularized energy emerge naturally. For over 20 years controversies have persisted stemming from the fact that certain (presumably physically meaningful) terms in the renormalized vacuum energy density in the interior of a cavity become singular at the boundary and correlate to certain divergent terms in the regularized total energy. The point of view of the present paper promises to help resolve these issues.

S. A. Fulling

2003-04-03T23:59:59.000Z

152

T-653: Linux Kernel sigqueueinfo() Process Lets Local Users Send Spoofed  

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

53: Linux Kernel sigqueueinfo() Process Lets Local Users Send 53: Linux Kernel sigqueueinfo() Process Lets Local Users Send Spoofed Signals T-653: Linux Kernel sigqueueinfo() Process Lets Local Users Send Spoofed Signals June 23, 2011 - 4:49am Addthis PROBLEM: Userland should be able to trust the pid and uid of the sender of a signal if the si_code is SI_TKILL. PLATFORM: Version(s): prior to 2.6.38 ABSTRACT: A vulnerability was reported in the Linux Kernel. A local user can send spoofed signals to other processes in certain cases. reference LINKS: OSVDB ID: 71652 SecurityTracker Alert ID: 1025690 Linux Update CVE-2011-1182 Linux Reference 1 Linux Reference 2 IMPACT ASSESSMENT: High Discussion: A local user with the ability to send signals to a process can spoof the uid and pid of the sending process via the sigqueueinfo() system call.

153

Estimating the Bias of Local Polynomial Approximations Using the Peano Kernel  

SciTech Connect (OSTI)

These presentation visuals define local polynomial approximations, give formulas for bias and random components of the error, and express bias error in terms of the Peano kernel. They further derive constants that give figures of merit, and show the figures of merit for 3 common weighting functions. The Peano kernel theorem yields estimates for the bias error for local-polynomial-approximation smoothing that are superior in several ways to the error estimates in the current literature.

Blair, J., and Machorro, E.

2012-03-22T23:59:59.000Z

154

Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping  

Science Journals Connector (OSTI)

......Frobenius norm , the nuclear norm , where are the...to a gene expression dataset, where n is the number...statistical property of the nuclear norm. How to do statistical tests with the nuclear norm regularization needs...analyzing human-size datasets (e.g. the number......

Can Yang; Lin Wang; Shuqin Zhang; Hongyu Zhao

2013-04-15T23:59:59.000Z

155

Gendering Representation: Parties, Institutions, and the Under-Representation Of Women In Brazil's State Legislatures  

E-Print Network [OSTI]

This dissertation provides insights on what influences women's descriptive representation in state legislatures in Brazil. The study of female representation in Brazil provides for a good case study as the country uses a ...

dos Santos, Pedro G.

2012-12-31T23:59:59.000Z

156

Online political communication strategies: MEPs, e-representation and self-representation  

E-Print Network [OSTI]

1 Online political communication strategies: MEPs, e-representation and self- representation, Bournemouth University. Dr Lilleker's expertise is in public engagement in politics, and in particular how widely on the professionalisation and marketisation of political communication including Political

Paris-Sud XI, Université de

157

Polynomial regression with derivative information in nuclear reactor uncertainty quantification*  

E-Print Network [OSTI]

, Argonne National Laboratory, Argonne, IL, USA b Nuclear Engineering Division, Argonne National Laboratory1 Polynomial regression with derivative information in nuclear reactor uncertainty quantification, Argonne, IL, USA Abstract. We introduce a novel technique of uncertainty quantification using polynomial

Anitescu, Mihai

158

Probabilistic Multiple-Linear Regression Modeling for Tropical Cyclone Intensity  

Science Journals Connector (OSTI)

The authors describe the development and verification of a statistical model relating tropical cyclone intensity to the local large-scale environment. A multiple linear regression framework is used to estimate the expected intensity of a tropical ...

Chia-Ying Lee; Michael K. Tippett; Suzana J. Camargo; Adam H. Sobel

159

Reduced rank regression via adaptive nuclear norm penalization  

Science Journals Connector (OSTI)

......of the 500 simulated datasets: 100 Pred( ^ CH...method often outperforms nuclear norm penalized regression...other methods. The nuclear norm penalized estimator...intensive for large datasets, while other methods...DISCUSSION Adaptive nuclear norm penalization can......

Kun Chen; Hongbo Dong; Kung-Sik Chan

2013-12-01T23:59:59.000Z

160

Use of structure coefficients in published reports of regression analysis  

E-Print Network [OSTI]

When considering the effect of an independent variable in a statistical analysis, one logical set of statistics to consult would be the regression weights. However, if the independent/predictor variables are correlated, the estimates...

Courville, Troy Gerard

1999-01-01T23:59:59.000Z

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


161

Extrapolation and bandwidth choice in the regression discontinuity design  

E-Print Network [OSTI]

This thesis consists of three methodological contributions to the literature on the regression discontinuity (RD) design. The first two chapters develop approaches to the extrapolation of treatment effects away from the ...

Rokkanen, Miikka

2014-01-01T23:59:59.000Z

162

Energy Star for Hospitals 2011 Update: Progression or Regression?  

E-Print Network [OSTI]

Energy Star for Hospitals 2011 Update: Progression or Regression? Brandon E. Travis1 1 Project Manager, SSRCx, 2995 Sidco Drive, Nashville, TN 37204, U.S.A. Email: btravis@ssr-inc.com Abstract: The Energy Star performance rating system...ENERGY STAR for Hospitals 2011 Update: Progression or Regression? Brandon E. Travis October 24, 2012 History of Energy Star Energy Star for Hospitals Critique & Conclusions Outline ? Benchmarks are important ? Energy efficiency void...

Travis, B.

2012-01-01T23:59:59.000Z

163

Kernel Spectral Clustering for dynamic data using Multiple Kernel D. Peluffo-Ordo~nez S. Garcia-Vega R. Langone J. A. K. Suykens G. Castellanos-Dominguez  

E-Print Network [OSTI]

taking into account the temporal information for the clustering task, mainly in segmentation of human motion [2], [3]. Other approaches include either the design of dynamic kernels for clustering [4], [5 least-square support vector machines and has shown to be a powerful tool for clustering hardly separa

164

Plain representations of Lie algebras A.A. Baranov  

E-Print Network [OSTI]

Plain representations of Lie algebras A.A. Baranov Institute of Mathematics, National Academy such representations plain (Definition 1.1). Informally, we show that the theory of plain representations of a given that are of complexity comparable with that of representations of associative algebras. Non-plain representations

Zalesski, Alexandre

165

Plain representations of Lie algebras A.A. Baranov  

E-Print Network [OSTI]

Plain representations of Lie algebras A.A. Baranov Institute of Mathematics, National Academy such representations plain (De#12;nition 1.1). Informally, we show that the theory of plain representations of a given that are of complexity comparable with that of representations of associative algebras. Non-plain representations

Baranov, Alexander

166

A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS.  

E-Print Network [OSTI]

A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS. Adriano M. Garsia and Mark Haiman representations in various bi-degrees are given by the Macdonald coefficients Kµ. Assuming one fundamental the conjectures in various special cases. 1 #12;1. Introduction Macdonald in (1, 2) introduced a remarkable new

Haiman, Mark D.

167

A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS.  

E-Print Network [OSTI]

A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS. Adriano M. Garsia and Mark Haiman representations in various bi­degrees are given by the Macdonald coefficients K ??¯ . Assuming one fundamental the conjectures in various special cases. 1 #12; 1. Introduction Macdonald in (1, 2) introduced a remarkable new

Haiman, Mark D.

168

Physics of information representation, transmission and processing  

Science Journals Connector (OSTI)

The paper presents the theory of physical model of information representation, transmission and processing together with their features which yield into introduction of classical and quantum informatics principles. These features are mathematically described ... Keywords: information physics, information representation, quantum informatics, transmission and processing

Miroslav Svtek

2009-11-01T23:59:59.000Z

169

3D Sparse Representations Lanusse F. a  

E-Print Network [OSTI]

3D Sparse Representations Lanusse F. a Starck J.-L. a Woiselle A. c Fadili M.J. b a Laboratoire AIM Securite, 95101 Argenteuil CEDEX, France. Abstract In this chapter we review a variety of 3D sparse representations developed in recent years and adapted to different kinds of 3D signals. In particular, we describe

Starck, Jean-Luc

170

Point-based multiscale surface representation  

Science Journals Connector (OSTI)

In this article we present a new multiscale surface representation based on point samples. Given an unstructured point cloud as input, our method first computes a series of point-based surface approximations at successively higher levels of smoothness, ... Keywords: Surface representations, geometric modeling, morphing, scale space, shape modeling, spectral filtering

Mark Pauly; Leif P. Kobbelt; Markus Gross

2006-04-01T23:59:59.000Z

171

Representation of a Theory of Currents  

Science Journals Connector (OSTI)

A canonical representation is given for a recently proposed theory of currents. The solutions differ from the analogous representation of Sugawara's theory in that one less constraint is present. This allows one to break the additional O(4) symmetry which would otherwise be present. The difficulties in obtaining perturbative solutions are the same in both theories.

Robert Perrin

1972-10-15T23:59:59.000Z

172

NEST REPRESENTATIONS OF DIRECTED GRAPH ALGEBRAS  

E-Print Network [OSTI]

NEST REPRESENTATIONS OF DIRECTED GRAPH ALGEBRAS KENNETH R. DAVIDSON AND ELIAS KATSOULIS Abstract. This paper is a comprehensive study of the nest rep- resentations for the free semigroupoid algebra LG that the finite dimensional nest representations sep- arate the points in LG, and a fortiori, in T + (G

Katsoulis, Elias G.

173

Kernel for modular robot applications: Automatic modeling techniques  

SciTech Connect (OSTI)

A modular robotic system consists of standardized joint and link units that an be assembled into various kinematic configurations for different types of tasks. For the control and simulation of such a system, manual derivation of the kinematic and dynamic models, as well as the error model for kinematic calibration, require tremendous effort, because the models constantly change as the robot geometry is altered after module reconfiguration. This paper presents a frame-work to facilitate the model-generation procedure for the control and simulation of the modular robot system. A graph technique, termed kinematic graphs and realized through assembly incidence matrices (AIM), is introduced to represent the module-assembly sequence and robot geometry. The kinematics and dynamics are formulated based on a local representation of the theory of lie groups and Lie algebras. The automatic model-generation procedure starts with a given assembly graph of the modular robot. Kinematic, dynamic, and error models of the robot are then established, based on the local representations and iterative graph-traversing algorithms. This approach can be applied to a modular robot with both serial and branch-type geometries, and arbitrary degrees of freedom. Furthermore, the AIM of the robot naturally leads to solving the task-oriented optimal configuration problem in modular robots. There is no need to maintain a huge library of robot models, and the footprint of the overall software system can be reduced.

Chen, I.M.; Yeo, S.H.; Chen, G. [Nanyang Technological Univ. (Singapore). School of Mechanical and production Engineering] [Nanyang Technological Univ. (Singapore). School of Mechanical and production Engineering; Yang, G. [Gintic Inst. of Manufacturing Technology (Singapore). Automation Technology Div.] [Gintic Inst. of Manufacturing Technology (Singapore). Automation Technology Div.

1999-02-01T23:59:59.000Z

174

Physics Experiments and Abstract Harmonic Analysis: A Generalized Peano Kernel Theorem for Estimating Errors in Laser Interferometry  

SciTech Connect (OSTI)

This slide-show discusses the use of the Local Polynomial Approximation (LPA) to smooth signals from photonic Doppler velocimetry (PDV) applying a generalized Peano kernel theorem.

Luttman, A.

2012-10-08T23:59:59.000Z

175

Towards Optimal Measurement of Power Spectra II: A Basis of Positive, Compact, Statistically Orthogonal Kernels  

E-Print Network [OSTI]

This is the second of two papers which address the problem of measuring the unredshifted power spectrum of fluctuations from a galaxy survey in optimal fashion. A key quantity is the Fisher matrix, which is the inverse of the covariance matrix of minimum variance estimators of the power spectrum of the survey. It is shown that bases of kernels which give rise to complete sets of statistically orthogonal windowed power spectra are obtained in general from the eigenfunctions of the Fisher matrix scaled by some arbitrary positive definite scaling matrix. Among the many possible bases of kernels, there is a basis, obtained by applying an infinitely steep scaling function, which leads to kernels which are positive and compact in Fourier space. This basis of kernels, along with the associated minimum variance pair weighting derived in the previous paper, would appear to offer a solution to the problem of how to measure the unredshifted power spectrum optimally. Illustrative kernels are presented for the case of the PSCz survey.

A. J. S. Hamilton

1997-01-04T23:59:59.000Z

176

Carbothermic Synthesis of 820 m UN Kernels: Literature Review, Thermodynamics, Analysis, and Related Experiments  

SciTech Connect (OSTI)

The U.S. Department of Energy is considering a new nuclear fuel that would be less susceptible to ruptures during a loss-of-coolant accident. The fuel would consist of tristructural isotropic coated particles with large, dense uranium nitride (UN) kernels. This effort explores many factors involved in using gel-derived uranium oxide-carbon microspheres to make large UN kernels. Analysis of recent studies with sufficient experimental details is provided. Extensive thermodynamic calculations are used to predict carbon monoxide and other pressures for several different reactions that may be involved in conversion of uranium oxides and carbides to UN. Experimentally, the method for making the gel-derived microspheres is described. These were used in a microbalance with an attached mass spectrometer to determine details of carbothermic conversion in argon, nitrogen, or vacuum. A quantitative model is derived from experiments for vacuum conversion to an uranium oxide-carbide kernel.

Lindemer, Terrence [Harbach Engineering and Solutions] [Harbach Engineering and Solutions; Voit, Stewart L [ORNL] [ORNL; Silva, Chinthaka M [ORNL] [ORNL; Besmann, Theodore M [ORNL] [ORNL; Hunt, Rodney Dale [ORNL] [ORNL

2014-01-01T23:59:59.000Z

177

Heat-kernel expansion on non compact domains and a generalised zeta-function regularisation procedure  

E-Print Network [OSTI]

Heat-kernel expansion and zeta function regularisation are discussed for Laplace type operators with discrete spectrum in non compact domains. Since a general theory is lacking, the heat-kernel expansion is investigated by means of several examples. It is pointed out that for a class of exponential (analytic) interactions, generically the non-compactness of the domain gives rise to logarithmic terms in the heat-kernel expansion. Then, a meromorphic continuation of the associated zeta function is investigated. A simple model is considered, for which the analytic continuation of the zeta function is not regular at the origin, displaying a pole of higher order. For a physically meaningful evaluation of the related functional determinant, a generalised zeta function regularisation procedure is proposed.

Guido Cognola; Emilio Elizalde; Sergio Zerbini

2006-01-13T23:59:59.000Z

178

Dancing with Giants: Wimpy Kernels for On-demand Isolated I/O Zongwei Zhou Miao Yu Virgil D. Gligor  

E-Print Network [OSTI]

. This paper presents a security architecture based on a wimpy kernel that provides on-demand isolated I and complexity of the wimpy kernel are minimized by safely outsourcing I/O subsystem functions to an untrusted untrust- worthy software components will certainly continue to exist in future commodity platforms

Tague, Patrick

179

Detecting Generalized Synchronization of Chaotic Dynamical Systems: A Kernel-based Method and Choice of Its Parameter  

E-Print Network [OSTI]

An approach based on the kernel methods for capturing the nonlinear interdependence between two signals is introduced. It is demonstrated that the proposed approach is useful for characterizing generalized synchronization with a successful simple example. An attempt to choose an optimal kernel parameter based on cross validation is also discussed.

Hiromichi Suetani; Yukito Iba; Kazuyuki Aihara

2005-07-21T23:59:59.000Z

180

RTK-Spec TRON: A Simulation Model of an ITRON Based RTOS Kernel in SystemC  

E-Print Network [OSTI]

RTK-Spec TRON: A Simulation Model of an ITRON Based RTOS Kernel in SystemC M. AbdElSalam Hassan of RTOS simulation models in a System Level Design Language (SLDL) like SystemC. We describe these constructs and show how they are used to build a simulation model of an RTOS kernel targeting the µ- ITRON OS

Boyer, Edmond

Note: This page contains sample records for the topic "kernel regression representation" 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

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

E-Print Network [OSTI]

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

182

Knowledge representation of signal transduction pathways  

Science Journals Connector (OSTI)

......University Press 2001 Original Paper Knowledge representation of signal transduction...topic that encompasses a large body of knowledge about the biochemical mechanisms. Since most of the knowledge of signal transduction resides in scientific......

Ken-ichiro Fukuda; Toshihisa Takagi

2001-09-01T23:59:59.000Z

183

QUASI-REPRESENTATIONS OF SURFACE GROUPS 1 ...  

E-Print Network [OSTI]

C?-algebra. 1. Introduction. Let G be a discrete countable group. In [3,4] the ... conjecture, a unital finite dimensional representation ?: C?(G) ? Mr(C) induces...

2012-07-13T23:59:59.000Z

184

MONOMIAL REPRESENTATIONS M. Harris, Eilenberg lecture 3  

E-Print Network [OSTI]

MONOMIAL REPRESENTATIONS M. Harris, Eilenberg lecture 3 In the previous lecture I described Hecke. HARRIS, EILENBERG LECTURE 3 (5) Suppose is associated to a compatible family M ¯Q? of one

Harris, Michael - Institut de Mathématiques de Jussieu, Université Paris 7

185

Mental Representations Formed From Educational Website Formats  

SciTech Connect (OSTI)

The increasing popularity of web-based distance education places high demand on distance educators to format web pages to facilitate learning. However, limited guidelines exist regarding appropriate writing styles for web-based distance education. This study investigated the effect of four different writing styles on readers mental representation of hypertext. Participants studied hypertext written in one of four web-writing styles (e.g., concise, scannable, objective, and combined) and were then administered a cued association task intended to measure their mental representations of the hypertext. It is hypothesized that the scannable and combined styles will bias readers to scan rather than elaborately read, which may result in less dense mental representations (as identified through Pathfinder analysis) relative to the objective and concise writing styles. Further, the use of more descriptors in the objective writing style will lead to better integration of ideas and more dense mental representations than the concise writing style.

Elizabeth T. Cady; Kimberly R. Raddatz; Tuan Q. Tran; Bernardo de la Garza; Peter D. Elgin

2006-10-01T23:59:59.000Z

186

Quantization and erasures in frame representations  

E-Print Network [OSTI]

Frame representations, which correspond to overcomplete generalizations to basis expansions, are often used in signal processing to provide robustness to errors. In this thesis robustness is provided through the use of ...

Boufounos, Petros T., 1977-

2006-01-01T23:59:59.000Z

187

Asymptotic Integral Kernel for Ensembles of Random Normal Matrix with Radial Potentials  

E-Print Network [OSTI]

We use the steepest descents method to study the integral kernel of a family of normal random matrix ensembles with eigenvalue distribution P_{N}(z_{1},...,z_{N}) = Z_{N}^{-1} e^{-N\\Sigma_{i=1}^{N}V_{\\alpha}(z_{i})} \\Pi_{1\\leqikernel for the classical Segal--Bargmann space.

Alexei M. Veneziani; Tiago Pereira; Domingos H. U. Marchetti

2011-06-23T23:59:59.000Z

188

Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema  

E-Print Network [OSTI]

Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema Brian Holt, Eng with the extraction of geodesic extrema to find extremities. We show how these approaches are complementary obtained by exploiting the geodesic structure supports accurate estimation of extremal points which cor

Bowden, Richard

189

Geodesic shape regression in the framework of currents  

E-Print Network [OSTI]

Geodesic shape regression in the framework of currents James Fishbaugh1 , Marcel Prastawa1 , Guido fully parameterize the geodesic shape evolution. This is in contrast to previous shape re- gression on the shape space and the corresponding re- gression function. In [5], a piecewise geodesic method has been

Prastawa, Marcel

190

Geodesic shape regression in the framework of currents  

E-Print Network [OSTI]

Geodesic shape regression in the framework of currents James Fishbaugh1 , Marcel Prastawa1 , Guido fully parameterize the geodesic shape evolution. This is in contrast to previous shape re- gression and the corresponding re- gression function. In [5], a piecewise geodesic method has been proposed, which extends

Gerig, Guido

191

Geodesic Regression on Riemannian Manifolds P. Thomas Fletcher  

E-Print Network [OSTI]

Geodesic Regression on Riemannian Manifolds P. Thomas Fletcher School of Computing, University a manifold-valued random variable and a real-valued independent parameter. The principle is to fit a geodesic is evaluated as the sum-of-squared geodesic distances from the model to the data, and this provides

Boyer, Edmond

192

Discrete geodesic regression in shape space Benjamin Berkels1  

E-Print Network [OSTI]

Discrete geodesic regression in shape space Benjamin Berkels1 , P. Thomas Fletcher2 , Behrend Benedikt.Wirth@cims.nyu.edu Abstract. A new approach for the effective computation of geodesic re- gression curves in shape spaces is presented. Here, one asks for a geodesic curve on the shape manifold

Rumpf, Martin

193

Secure computation with horizontally partitioned data using adaptive regression  

E-Print Network [OSTI]

illustrate the protocol with air pollution data. Key words: Confidentiality, Disclosure, Regression, Secure mining with association rules (Kantarcioglu and Clifton, 2002; Vaidya and Clifton, 2002; Evfimievski et- ature on privacy-preserving data mining (Agrawal and Srikant, 2000; Lindell and Pinkas, 2000) contains

Reiter, Jerome P.

194

A Data Partitioning Scheme for Spatial Regression Slobodan Vucetic1  

E-Print Network [OSTI]

A Data Partitioning Scheme for Spatial Regression Slobodan Vucetic1 , Tim Fiez2 and Zoran Obradovic dealing with agricultural problems characterized with strong spatial data correlation. A sim- ple spatial better generalization is proposed. Also, integration of predictors formed from spatially partitioned data

Vucetic, Slobodan

195

Orthodontics diagnostic based on multinomial logistic regression model  

Science Journals Connector (OSTI)

The main objective of this study is evaluate the influence of several covariates in the occurrence of two types of vertical jaw dysplasia (open bite and deepbite) in orthodontics field. The study of vertical jaw dysplasia is of great interest to the ... Keywords: deepbite, hyoid bone (HB), logit, multinomial logistic regression, open bite, stepwise

Ana Cristina Braga; Vanda Urzal; A. Pinho Ferreira

2013-06-01T23:59:59.000Z

196

A bayesian mixture model with linear regression mixing proportions  

Science Journals Connector (OSTI)

Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is to learn how complex data distributions evolve. We develop models and ... Keywords: bayesian mixture model, gibbs sampler, linear regression, mixing proportion

Xiuyao Song; Chris Jermaine; Sanjay Ranka; John Gums

2008-08-01T23:59:59.000Z

197

Regression-Based RTL Power Modeling ALESSANDRO BOGLIOLO  

E-Print Network [OSTI]

introduce a low overhead on-line characterization method for enhancing the accuracy of off-line estimation is a key feature for synthesis-based design flows. The main challenge in establishing a sound RTL-up off-line characterization of regression-based power macromodels is discussed in detail. Moreover, we

De Micheli, Giovanni

198

Applying logistic regression to relevance feedback in image retrieval systems  

Science Journals Connector (OSTI)

This paper deals with the problem of image retrieval from large image databases. A particularly interesting problem is the retrieval of all images which are similar to one in the user's mind, taking into account his/her feedback which is expressed as ... Keywords: Content-based image retrieval systems, Logistic regression, Low-level image descriptors, Visual information retrieval

T. Len; P. Zuccarello; G. Ayala; E. de Ves; J. Domingo

2007-10-01T23:59:59.000Z

199

Worldwide Oil Production Michaelis-Menten Kinetics Correlation and Regression  

E-Print Network [OSTI]

Worldwide Oil Production Michaelis-Menten Kinetics Topic 4 Correlation and Regression Transformed Variables 1 / 13 #12;Worldwide Oil Production Michaelis-Menten Kinetics Outline Worldwide Oil Production Michaelis-Menten Kinetics Lineweaver-Burke double reciprocal plot 2 / 13 #12;Worldwide Oil Production

Watkins, Joseph C.

200

IEEE Transactions on Software Engineering (to appear). Empirical Studies of a Prediction Model for Regression Test  

E-Print Network [OSTI]

for Regression Test Selection Mary Jean Harrold 1 David Rosenblum 2 Gregg Rothermel 3 Elaine Weyuker 4 Abstract Regression testing is an important activity that can account for a large proportion of the cost of software maintenance. One approach to reducing the cost of regression testing is to employ a selective regression

Rothermel, Gregg

Note: This page contains sample records for the topic "kernel regression representation" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


201

Multimodal video concept detection via bag of auditory words and multiple kernel learning  

Science Journals Connector (OSTI)

State-of-the-art systems for video concept detection mainly rely on visual features. Some previous approaches have also included audio features, either using low-level features such as mel-frequency cepstral coefficients (MFCC) or exploiting the detection ... Keywords: audio codebook, bag of auditory words, bag of words, multiple kernel learning, video retrieval, visual concept detection

Markus Mhling; Ralph Ewerth; Jun Zhou; Bernd Freisleben

2012-01-01T23:59:59.000Z

202

Design and implementation of a universal controller working under the MCX-16 real-time kernel  

E-Print Network [OSTI]

In this thesis, the design of a universal controller is introduced. The controller has a 16-bit processor, four A/D channels and two D/A channels. It can run a control program up to 64K byte long. The real-time kernel, MCX-16, is selected...

Xue, Yuannong

2012-06-07T23:59:59.000Z

203

Dose point kernel simulation for monoenergetic electrons and radionuclides using Monte Carlo techniques  

Science Journals Connector (OSTI)

......Figure-1. Scaled DPKs in water calculated using MCNP5...Figure-2. Scaled DPKs in water calculated using MCNP5...from LHC to ICARUS and atmospheric showers. (1997) Proceedings...dose point kernels in water generated by the Monte...database, random number generator and statistical error......

J. Wu; Y. L. Liu; S. J. Chang; M. M. Chao; S. Y. Tsai; D. E. Huang

2012-11-01T23:59:59.000Z

204

A Reproducing Kernel Hilbert Space framework for Spike Train Signal Processing  

E-Print Network [OSTI]

A Reproducing Kernel Hilbert Space framework for Spike Train Signal Processing Ant´onio R. C. Paiva describe and manipulate spike trains. The main idea is the definition of inner products to allow spike train signal processing from basic principles while incorporating their statistical description as point

Utah, University of

205

Ten years of probabilistic estimates of biocrystal solvent content: new insights via nonparametric kernel density estimate  

Science Journals Connector (OSTI)

The widely used 2003 Matthews probability calculator predicting the most probable number of molecules in the asymmetric unit as a function of resolution has been updated with 2013 data, and a new parameter-free kernel density estimator has been implemented. Analysis of multiple parameters confirms that solvent content remains the primary and dominating parameter determining the diffraction limit (resolution) of protein crystals.

Weichenberger, C.X.

2014-05-24T23:59:59.000Z

206

One-rank interaction kernel of the two-nucleon system for medium and high energies  

E-Print Network [OSTI]

A new version of the separable kernel of the nucleon-nucleon interaction in the Bethe-Salpeter approach is presented. The phase shifts are fitted to recent experimental data for singlet and uncoupled triplet partial waves of the neutron-proton scattering with total angular momenta J=0,1. The results are compared with other model calculations.

S. G. Bondarenko; V. V. Burov; W-Y. Pauchy Hwang; E. P. Rogochaya

2008-06-04T23:59:59.000Z

207

Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines  

E-Print Network [OSTI]

Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines Roman Genov and Gert roman,gert¡ @jhu.edu Abstract A mixed-signal paradigm is presented for high-resolution parallel inner processing. At the core of the externally digital architecture is a high-density, low-power analog array

Cauwenberghs, Gert

208

Contem porary M athem atics Heat Kernels measures and Infinite dimensional analysis.  

E-Print Network [OSTI]

Contem porary M athem atics Heat Kernels measures and Infinite dimensional analysis. Bruce K 0202939. c°0000 (copyright holder) 1 2 BRUCE K. DRIVER Section 3 is devoted to a description, random walks and analysis to manifolds and graphs" held at IHP in Paris. 2. Finite Dimensional Heat

Driver, Bruce

209

The Dent Stage of Maize Kernels Is the Most Conducive for Fumonisin Biosynthesis under Field Conditions  

Science Journals Connector (OSTI)

...that amylopectin metabolism participates in...regulator of nitrogen metabolism, induces a positive...maturation of maize seeds. Plant Physiol...regulator of nitrogen metabolism, during colonization...and amylopectin in starch from maize kernel...multi-wavelength analysis. J. Cereal Sci. 26 : 211-221...

Adeline Picot; Christian Barreau; Latitia Pinson-Gadais; Franois Piraux; Daniel Caron; Christian Lannou; Florence Richard-Forget

2011-10-07T23:59:59.000Z

210

Geotagged Photo Recognition using Corresponding Aerial Photos with Multiple Kernel Learning  

E-Print Network [OSTI]

Geotagged Photo Recognition using Corresponding Aerial Photos with Multiple Kernel Learning Keita for geotagged photos, we have already proposed ex- ploiting aerial photos around geotag places as addi- tional image features for visual recognition of geo- tagged photos. In the previous work, to fuse two kinds

Yanai, Keiji

211

Symbiotic scheduling of concurrent GPU kernels for performance and energy optimizations  

Science Journals Connector (OSTI)

The incorporation of GPUs as co-processors has brought forth significant performance improvements for High-Performance Computing (HPC). Efficient utilization of the GPU resources is thus an important consideration for computer scientists. In order to ... Keywords: GPU, concurrent kernel execution, energy, high-performance computing, performance, scheduling

Teng Li; Vikram K. Narayana; Tarek El-Ghazawi

2014-05-01T23:59:59.000Z

212

TEMPERED OPERATORS AND THE HEAT KERNEL AND COMPLEX POWERS OF ELLIPTIC PSEUDODIFFERENTIAL OPERATORS  

E-Print Network [OSTI]

TEMPERED OPERATORS AND THE HEAT KERNEL AND COMPLEX POWERS OF ELLIPTIC PSEUDODIFFERENTIAL OPERATORS operator and complex powers of b-pseudodi#27;erential operators, as the heat operator and complex powers are the Laplace and Mellin transforms, respectively, of the resolvent. The heat operator and complex powers

Loya, Paul

213

Finite-frequency sensitivity kernels for global seismic wave propagation based upon adjoint methods  

Science Journals Connector (OSTI)

......wave. P-wave energy enters the shadow...generally has a lower frequency content compared...simulate the seismic response of 2D and 3D geological...2006. Finite-frequency Kernels based upon...2004. Finite-frequency tomography reveals...Circumventing storage limitations in variational......

Qinya Liu; Jeroen Tromp

2008-07-01T23:59:59.000Z

214

M3D: a kernel-based test for spatially correlated changes in methylation profiles  

Science Journals Connector (OSTI)

......properly cited. M3D: a kernel-based test for spatially correlated changes in methylation...shape, across pre-defined regions. The test statistic explicitly accounts for differences...analysis of methylation data. Empirical tests on real and simulated data sets show an......

Tom Mayo; Gabriele Schweikert; Guido Sanguinetti

2014-11-01T23:59:59.000Z

215

Polar Cloud Detection using Satellite Data with Analysis and Application of Kernel Learning Algorithms  

E-Print Network [OSTI]

in the processing of satellite observations in support of radiation budget, numerical weather prediction and globalAbstract Polar Cloud Detection using Satellite Data with Analysis and Application of Kernel Machine on the features. Boarding the same satellite as MISR, Moderate Resolution Imaging Spectrora

Shi, Tao

216

Some new Inequalities of Hardy-Hilbert Type with general kernel  

E-Print Network [OSTI]

In this paper, by using hardy inequality, we establish some new integral inequalities of Hardy-Hilbert type with general kernel. As applications, equivalent forms and some particular results are built; the corresponding to the double series inequalities are given.reverse forms are considered also.

Guang-Sheng Chen

2011-07-25T23:59:59.000Z

217

Preprint No. 4825 A Real Time DSP Kernel for Concurrent Audio Tasks  

E-Print Network [OSTI]

Preprint No. 4825 A Real Time DSP Kernel for Concurrent Audio Tasks David Reinhardt and Robert C audio tasks, but this poses a variety of practical problems. In this paper the features of general-purpose operating systems are contrasted with the needs of typical audio DSP processes, andthe architecture

Maher, Robert C.

218

An improved ECG-Derived Respiration Method using Kernel Principal Component Analysis  

E-Print Network [OSTI]

An improved ECG-Derived Respiration Method using Kernel Principal Component Analysis Devy Widjaja1) of heart beats generates well-performing ECG- derived respiratory signals (EDR). This study aims at im in the extraction of a respiratory signal from single lead ECGs. 1. Introduction Respiration is often jointly

219

Natural geometric representation for electron local observables  

SciTech Connect (OSTI)

An existence of the quartic identities for the electron local observables that define orthogonality relations for the 3D quantities quadratic in the electron observables is found. It is shown that the joint solution of the quartic and bilinear identities for the electron observables defines a unique natural representation of the observables. In the natural representation the vector type electron local observables have well-defined fixed positions with respect to a local 3D orthogonal reference frame. It is shown that the natural representation of the electron local observables can be defined in six different forms depending on a choice of the orthogonal unit vectors. The natural representation is used to determine the functional dependence of the electron wave functions on the local observables valid for any shape of the electron wave packet. -- Highlights: Quartic identities that define the orthogonality relations for the electron local observables are found. Joint solution of quartic and bilinear identities defines a unique natural representation of the electron local observables. Functional dependence of the electron wave functions on the electron local observables is determined.

Minogin, V.G., E-mail: minogin@isan.troitsk.ru

2014-03-15T23:59:59.000Z

220

PVT Correlations of Indian Crude Using Support Vector Regression  

Science Journals Connector (OSTI)

Department of Chemical Engineering, Indian Institute of Technology, Kanpur-208016, U. P., India ... Correlations for bubble point pressure, solution gas?oil ratio, oil formation volume factor (for both saturated and undersaturated crude) and viscosity (for both saturated and undersaturated crude) have been developed for Indian crude using support vector regression (SVR). ... Each data set was checked for any missing data and if found, such points were rejected. ...

Sarit Dutta; J. P. Gupta

2009-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Representations of groups of order 16  

E-Print Network [OSTI]

, the linear transformat'ion A is equal to kE where E is the identity transformation of Hom(U, U). We now apply I. emma 2. 5 to obtain a significant re- sult for the representations of Abelian groups. Theorem 2. 1. Every irreducible representation of a.... & 1 k i ' i It follows that p cannot divide all the ni since c is not divisible by p. Let g E 6 belong to some conjugacy class of n denote by elements such that p does not divi, de n and g N(g), the normalizer of g in G. Since 5(g) is a sub...

McCarthy, Edmond Robert

1966-01-01T23:59:59.000Z

222

PROPERTIES OF A SOLAR FLARE KERNEL OBSERVED BY HINODE AND SDO  

SciTech Connect (OSTI)

Flare kernels are compact features located in the solar chromosphere that are the sites of rapid heating and plasma upflow during the rise phase of flares. An example is presented from a M1.1 class flare in active region AR 11158 observed on 2011 February 16 07:44 UT for which the location of the upflow region seen by EUV Imaging Spectrometer (EIS) can be precisely aligned to high spatial resolution images obtained by the Atmospheric Imaging Assembly (AIA) and Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO). A string of bright flare kernels is found to be aligned with a ridge of strong magnetic field, and one kernel site is highlighted for which an upflow speed of Almost-Equal-To 400 km s{sup -1} is measured in lines formed at 10-30 MK. The line-of-sight magnetic field strength at this location is Almost-Equal-To 1000 G. Emission over a continuous range of temperatures down to the chromosphere is found, and the kernels have a similar morphology at all temperatures and are spatially coincident with sizes at the resolution limit of the AIA instrument ({approx}<400 km). For temperatures of 0.3-3.0 MK the EIS emission lines show multiple velocity components, with the dominant component becoming more blueshifted with temperature from a redshift of 35 km s{sup -1} at 0.3 MK to a blueshift of 60 km s{sup -1} at 3.0 MK. Emission lines from 1.5-3.0 MK show a weak redshifted component at around 60-70 km s{sup -1} implying multi-directional flows at the kernel site. Significant non-thermal broadening corresponding to velocities of Almost-Equal-To 120 km s{sup -1} is found at 10-30 MK, and the electron density in the kernel, measured at 2 MK, is 3.4 Multiplication-Sign 10{sup 10} cm{sup -3}. Finally, the Fe XXIV {lambda}192.03/{lambda}255.11 ratio suggests that the EIS calibration has changed since launch, with the long wavelength channel less sensitive than the short wavelength channel by around a factor two.

Young, P. R. [College of Science, George Mason University, 4400 University Drive, Fairfax, VA 22030 (United States)] [College of Science, George Mason University, 4400 University Drive, Fairfax, VA 22030 (United States); Doschek, G. A.; Warren, H. P. [Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375 (United States)] [Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375 (United States); Hara, H. [National Astronomical Observatory of Japan/NINS, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 (Japan)] [National Astronomical Observatory of Japan/NINS, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 (Japan)

2013-04-01T23:59:59.000Z

223

Maps and Mapping Lab 6: Terrain Representation  

E-Print Network [OSTI]

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

Clarke, Keith

224

KNOWLEDGE GRANULARITY AND REPRESENTATION OF KNOWLEDGE: TOWARDS  

E-Print Network [OSTI]

KNOWLEDGE GRANULARITY AND REPRESENTATION OF KNOWLEDGE: TOWARDS KNOWLEDGE GRID Maria A. Mach.owoc}@ue.wroc.pl ABSTRACT. Knowledge granularity, usually identified with the size of knowledge granules, seems to be real challenge for knowledge consumers as well as for knowledge creators. In this paper, relationships between

Boyer, Edmond

225

Video Indexing Based on Mosaic Representations  

E-Print Network [OSTI]

1 Video Indexing Based on Mosaic Representations Michal Irani P. Anandan Abstract| Video is a rich is implicitly buried inside the raw video data, and is provided with the cost of very high temporal redundancy. While the standard sequential form of video storage is ad- equate for viewing in a "movie mode

Shapiro, Ehud

226

ARITHMETIC OF THE OSCILLATOR REPRESENTATION Michael Harris  

E-Print Network [OSTI]

ARITHMETIC OF THE OSCILLATOR REPRESENTATION Michael Harris §1. Moduli 1.1. Let V = Q2g , and let schemes g N : Ag N [N] - (N-1 T/T)Mg N . Typeset by AMS-TEX 1 #12;2 MICHAEL HARRIS 1.3. Let : Ag N Mg N

Harris, Michael - Institut de Mathématiques de Jussieu, Université Paris 7

227

Issues in Temporal Representation of Multimedia Documents  

E-Print Network [OSTI]

in line mode. This is because the document #12; 2 source integrate both elements descriptive markupIssues in Temporal Representation of Multimedia Documents Nabil Layaïda OPERA project, INRIA Rhône the means of increasing the rich­ ness of information contained in electronic documents. One of the goals

Joseph Fourier Grenoble-I, Université

228

ModelicaXML A Modelica XML representation  

E-Print Network [OSTI]

ModelicaXML A Modelica XML representation with Applications Adrian Pop, Peter Fritzson Programming to transform the selected parts outputs desired format Modelica XML XSLT Other modeling languages HTML the XPath language uses SQL-like query language to further manipulate the results Modelica XML XQuery Model

Zhao, Yuxiao

229

Computing Appropriate Representations for Multidimensional Data  

E-Print Network [OSTI]

precisely we define a measurement of the quality of the representation of multidimensional data and we). Obviously, as the size and the dimensionality of the data set increase, the whole process becomes very 6 2 5 Europe 4 5 7 4 6 beer milk soda water wine (a) year 2000 sales America 4 5 6 7 7 Europe 4 4 5

Song, Il-Yeol

230

Audio Source Separation using Sparse Representations  

E-Print Network [OSTI]

Audio Source Separation using Sparse Representations Andrew Nesbit1 , Maria G. Jafari1 , Emmanuel ABSTRACT We address the problem of audio source separation, namely, the recovery of audio signals from related to the windowing methods used in the MPEG audio coding framework. In considering the anechoic

Plumbley, Mark

231

Heat Kernel Asymptotic Expansion on Unbounded Domains with Polynomially Confining Potentials  

E-Print Network [OSTI]

In this paper we analyze the small-t asymptotic expansion of the trace of the heat kernel associated with a Laplace operator endowed with a spherically symmetric polynomially confining potential on the unbounded, d-dimensional Euclidean space. To conduct this study, the trace of the heat kernel is expressed in terms of its partially resummed form which is then represented as a Mellin-Barnes integral. A suitable contour deformation then provides, through the use of Cauchy's residue theorem, closed formulas for the coefficients of the asymptotic expansion. The general expression for the asymptotic expansion, valid for any dimension and any polynomially confining potential, is then specialized to two particular cases: the general quartic and sestic oscillator potentials.

Guglielmo Fucci

2014-05-14T23:59:59.000Z

232

Ensemble regression : using ensemble model output for atmospheric dynamics and prediction  

E-Print Network [OSTI]

Ensemble regression (ER) is a linear inversion technique that uses ensemble statistics from atmospheric model output to make dynamical inferences and forecasts. ER defines a multivariate regression operator using ensemble ...

Gombos, Daniel (Daniel Lawrence)

2009-01-01T23:59:59.000Z

233

Generalized Additive Models versus Linear Regression in Generating Probabilistic MOS Forecasts of Aviation Weather Parameters  

Science Journals Connector (OSTI)

The skill of probabilistic Model Output Statistics forecasts generated from Generalized Additive Models (GAM) is compared to that of traditional multiple linear regression techniques. Unlike linear regression, where each predictor term in the ...

Robert L. Vislocky; J. Michael Fritsch

1995-12-01T23:59:59.000Z

234

eXpress: guided path exploration for efficient regression test generation  

Science Journals Connector (OSTI)

Software programs evolve throughout their lifetime undergoing various changes. While making these changes, software developers may introduce regression faults. It is desirable to detect these faults as quickly as possible to reduce the cost involved ... Keywords: regression testing, test generation

Kunal Taneja; Tao Xie; Nikolai Tillmann; Jonathan de Halleux

2011-07-01T23:59:59.000Z

235

Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric Concentrations on Wind Direction  

E-Print Network [OSTI]

Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric Concentrations. #12;1 Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric. * Corresponding author. Submitted to Atmospheric Environment July, 2001. Abstract The relationship

Washington at Seattle, University of

236

Stein's method, heat kernel, and traces of powers of elements of compact Lie groups  

E-Print Network [OSTI]

Combining Stein's method with heat kernel techniques, we show that the trace of the jth power of an element of U(n,C), USp(n,C) or SO(n,R) has a normal limit with error term of order j/n. In contrast to previous works, here j may be growing with n. The technique should prove useful in the study of the value distribution of approximate eigenfunctions of Laplacians.

Jason Fulman

2010-05-07T23:59:59.000Z

237

Effect of Pre and Post-Harvest Treatments on Characteristics of Pawnee Pecan Kernels  

E-Print Network [OSTI]

, and bright color (Herrera, 2005). Color, flavor, and appearance were maintained for 25 years when kernels were stored at -20 C in hermetically sealed containers (Hao et al., 1991). Although freezing or refrigeration are suitable methods for prolonged.... This may be attributed to the effect that refrigeration had on the nuts, which were placed in the refrigerator for 11 weeks prior to the 2nd shelling date. According to Herrera (2005), the greatest benefit of storing at nuts at a low temperature...

Mansur, Zainab J

2014-04-17T23:59:59.000Z

238

Colour coherence of soft gluons in the fully unintegrated NLO singlet kernels  

E-Print Network [OSTI]

Feynman diagrams with two real partons contributing to the next-to-leading-order singlet gluon-quark DGLAP kernel are analysed. The infra-red singularities of unintegrated distributions are examined numerically. The analytical formulae are also given in some cases. The role of the colour coherence effects is found to be crucial for cancellations of the double- and single-logarithmic infra-red singularities.

M. Slawinska; A. Kusina; S. Jadach; M. Skrzypek

2011-10-04T23:59:59.000Z

239

Heat kernel Coefficients and Divergencies of the Casimir Energy for the Dispersive Sphere  

E-Print Network [OSTI]

The first heat kernel coefficients are calculated for a dispersive ball whose permittivity at high frequency differs from unity by inverse powers of the frequency. The corresponding divergent part of the vacuum energy of the electromagnetic field is given and ultraviolet divergencies are seen to be present. Also in a model where the number of atoms is fixed the pressure exhibits infinities. As a consequence, the ground-state energy for a dispersive dielectric ball cannot be interpreted easily.

M. Bordag; K. Kirsten

2001-10-24T23:59:59.000Z

240

Vacuum energy, spectral determinant and heat kernel asymptotics of graph Laplacians with general vertex matching conditions  

E-Print Network [OSTI]

We consider Laplace operators on metric graphs, networks of one-dimensional line segments (bonds), with matching conditions at the vertices that make the operator self-adjoint. Such quantum graphs provide a simple model of quantum mechanics in a classically chaotic system with multiple scales corresponding to the lengths of the bonds. For graph Laplacians we briefly report results for the spectral determinant, vacuum energy and heat kernel asymptotics of general graphs in terms of the vertex matching conditions.

J. M. Harrison; K. Kirsten

2010-03-16T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Representation of Energy Use in the Food Products Industry  

E-Print Network [OSTI]

Traditional representations of energy in the manufacturing sector have tended to represent energy end-uses rather than actual energy service demands. While this representation if quite adequate for understanding how energy is used today...

Elliott, N. R.

2007-01-01T23:59:59.000Z

242

Evaluation of sintering effects on SiC incorporated UO2 kernels under Ar and Ar-4%H2 environments  

SciTech Connect (OSTI)

Silicon carbide (SiC) is suggested as an oxygen getter in UO2 kernels used for TRISO particle fuels to lower oxygen potential and prevent kernel migration during irradiation. Scanning electron microscopy and X-ray diffractometry analyses performed on sintered kernels verified that internal gelation process can be used to incorporate SiC in urania fuel kernels. Sintering in either Ar or Ar-4%H2 at 1500 C lowered the SiC content in the UO2 kernels to some extent. Formation of UC was observed as the major chemical phase in the process, while other minor phases such as U3Si2C2, USi2, U3Si2, and UC2 were also identified. UC formation was presumed to be occurred by two reactions. The first was the SiC reaction with its protective SiO2 oxide layer on SiC grains to produce volatile SiO and free carbon that subsequently reacted with UO2 to form UC. The second process was direct UO2 reaction with SiC grains to form SiO, CO, and UC, especially in Ar-4%H2. A slightly higher density and UC content was observed in the sample sintered in Ar-4%H2, but the use of both atmospheres produced kernels with ~95% of theoretical density. It is suggested that incorporating CO in the sintering gas would prevent UC formation and preserve the initial SiC content.

Silva, Chinthaka M [ORNL] [ORNL; Lindemer, Terrence [Harbach Engineering and Solutions] [Harbach Engineering and Solutions; Hunt, Rodney Dale [ORNL] [ORNL; Collins, Jack Lee [ORNL] [ORNL; Terrani, Kurt A [ORNL] [ORNL; Snead, Lance Lewis [ORNL] [ORNL

2013-01-01T23:59:59.000Z

243

An efficient speech recognition system in adverse conditions using the nonparametric regression  

Science Journals Connector (OSTI)

General Regression Neural Networks (GRNN) have been applied to phoneme identification and isolated word recognition in clean speech. In this paper, the authors extended this approach to Arabic spoken word recognition in adverse conditions. In fact, noise ... Keywords: Arabic digits, General Regression Neural Network, Hidden Markov Model, Noisy environment, Nonparametric regression, Speech recognition

Abderrahmane Amrouche; Mohamed Debyeche; Abdelmalik Taleb-Ahmed; Jean Michel Rouvaen; Mustapha C. E. Yagoub

2010-02-01T23:59:59.000Z

244

The Impact of Test Suite Granularity on the Cost-Effectiveness of Regression Testing  

E-Print Network [OSTI]

The Impact of Test Suite Granularity on the Cost-Effectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modi cations. The cost-e ective- ness of regression testing techniques varies with characteris- tics of test

Rothermel, Gregg

245

On Test Suite Composition and Cost-Effective Regression Testing Gregg Rothermel  

E-Print Network [OSTI]

On Test Suite Composition and Cost-Effective Regression Testing Gregg Rothermel , Sebastian Elbaum}@cse.unl.edu August 31, 2004 Abstract Regression testing is an expensive testing process used to re-validate software as it evolves. Various methodologies for improving regression testing processes have been explored, but the cost

Rothermel, Gregg

246

On Test Suite Composition and Cost-Effective Regression Testing. Gregg Rothermel  

E-Print Network [OSTI]

On Test Suite Composition and Cost-Effective Regression Testing. Gregg Rothermel , Sebastian Elbaum}@cse.unl.edu August 30, 2003 Abstract Regression testing is an expensive testing process used to re-validate software as it evolves. Various methodologies for improving regression testing processes have been explored, but the cost

Rothermel, Gregg

247

The Application of Program Slicing to Regression Testing David Binkley \\Lambda  

E-Print Network [OSTI]

The Application of Program Slicing to Regression Testing David Binkley \\Lambda Loyola College in Maryland ABSTRACT Software maintainers are faced with the task of regression testing: retesting a program after a modifica­ tion. The goal of regression testing is to ensure that bug fixes and new functionality

Binkley, David W.

248

The Impact of Test Suite Granularity on the CostEffectiveness of Regression Testing  

E-Print Network [OSTI]

The Impact of Test Suite Granularity on the Cost­Effectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modifications. The cost­effective­ ness of regression testing techniques varies with characteris­ tics of test

Rothermel, Gregg

249

The Impact of Test Suite Granularity on the CostEffectiveness of Regression Testing  

E-Print Network [OSTI]

The Impact of Test Suite Granularity on the Cost­Effectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modi#12;cations. The cost-e#11;ective- ness of regression testing techniques varies with characteris- tics of test

Rothermel, Gregg

250

Scott Domain Representability of a Class of Generalized Ordered Spaces  

E-Print Network [OSTI]

-space constructed on a locally compact LOTS, is Scott-domain representable, i.e., is homeomorphic to the space-domain representable (i.e., being homeomorphic to the subspace of maximal elements of a Scott-domain with the ScottScott Domain Representability of a Class of Generalized Ordered Spaces Kevin W. Duke and David

Lutzer, David J.

251

Extremely local MR representations: Youngmi Hur1 & Amos Ron2  

E-Print Network [OSTI]

Extremely local MR representations: L-CAMP Youngmi Hur1 & Amos Ron2 Workshop on sparse representations: UMD, May 2005 1 Math, UW-Madison 2 CS, UW-Madison #12;Wavelet and framelet constructions History of all local MR representations #12;L-CAMP: Extremely local MR constructions Bird's view of the CAP

Maryland at College Park, University of

252

FUSION RULES FOR REPRESENTATIONS OF COMPACT QUANTUM GROUPS  

E-Print Network [OSTI]

FUSION RULES FOR REPRESENTATIONS OF COMPACT QUANTUM GROUPS TEODOR BANICA Introduction The compact to equivalence) as a sum of irreducible representations a b c + d + e + · · · These formulae are called fusion rules for irreducible representations of G. The fusion semiring R+ (G) is by definition the set

Banica, Teodor

253

Generator coordinate method approach to the dynamic group representation  

Science Journals Connector (OSTI)

The generator coordinate method approach to the dynamic group representation is discussed in general. In various cases, either in group space or in coset space, representations of the dynamic group can readily be obtained with the generator coordinate method. Boson representation is just one form of the generator coordinate method approach to the dynamic group representation. Various representations of the dynamic group are described by the generator coordinate method approach to the dynamic group representation in a unified way. Not only is the algebraic structure of generators preserved, but also conditions imposed by (a) the Pauli principle, (b) symmetry properties, (c) dynamic properties, and (d) other concrete properties of nuclear systems are well incorporated in these representations, so that the original fermion representation is faithfully realized. The generator coordinate method approach to the dynamic group representation is strictly a transformation theory from the fermion representation to continuous variable or boson representations of the dynamic group. Examples are given for showing the essence and the prospects of applications of the generator coordinate method approach to the dynamic group representation.

Xu Gong-ou; Wang Shun-jin; Yang Ya-tian

1987-11-01T23:59:59.000Z

254

Condensed Representation of Sequential Patterns According to Frequency-Based  

E-Print Network [OSTI]

Condensed Representation of Sequential Patterns According to Frequency-Based Measures Marc Nacre, 14032 Caen Cedex, France Abstract. Condensed representations of patterns are at the core of many, we tackle sequential data and we define an exact condensed representation for sequential patterns ac

Boyer, Edmond

255

Condensed representations for data mining Jean-Franois Boulicaut  

E-Print Network [OSTI]

Condensed representations for data mining Jean-François Boulicaut INSA de Lyon LIRIS CNRS FRE 2672.), Idea Group Reference, 2005, pp. 207-211. #12;Condensed Representations for Data Mining Jean-François Boulicaut, INSA de Lyon, France INTRODUCTION Condensed representations have been proposed in (Mannila

Boulicaut, Jean-François

256

Representations of the groups of order 64  

E-Print Network [OSTI]

element in the i row and j column of, the nth representation cos ks/32 + i sin ks/32 HOM (U, U) the set of all homomorphisms of . the vector space U into itself Im D fG:HI let D be a mapping of, G into U. The image of D (Im D) is the set... if it is not reducible. We observe immediately from the two preceding definitions that all one dimensional representations are irreducible. D f 't 1. 7. A p* t t' D ' 'd t b ~dbt if U is the direct sum of proper invariant subspaces. 0 8' 't' 1:8, 8 0 t t' 0 ' '8 t 0...

Hansen, Roger Finn

2012-06-07T23:59:59.000Z

257

Transmission line modeling with explicit grounding representation  

Science Journals Connector (OSTI)

This paper presents a new model of an overhead transmission line for electromagnetic transient computations. The unique feature of the model is the explicit representation of the tower grounding configuration and terminal substation grounds. Other properties of the model are: (1) accurate frequency dependent parameter representation from DC to several MHz; (2) explicit modeling of line asymmetries; and (3) high numerical efficiency. The model implementation is based on the solution of the transmission line differential equations resulting in a set of step response functions, forming a matrix. The step response matrix is utilized in a time domain simulation of electric power networks by a linear convolution scheme. The transmission line model is validated with actual system test data. The model is useful for computing the ground potential rise of transmission towers due to lightning or switching surges, insulation stress, etc. Typical applications are described in the paper.

G.J. Cokkinides; A.P.Sakis Meliopoulos

1988-01-01T23:59:59.000Z

258

PART IV … REPRESENTATIONS AND INSTRUCTIONS  

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

JAN 2011) ......................................................................................................................... 1 JAN 2011) ......................................................................................................................... 1 K-2 FAR 52.209-2 PROHIBITION ON CONTRACTING WITH INVERTED DOMESTIC CORPORATIONS--REPRESENTATION (JUL 2009) ......................... 5 K-3 FAR 52.209-7 INFORMATION REGARDING RESPONSIBILITY MATTERS (JAN 2011) ......................................................................................................................... 5 K-4 FAR 52.225-25 PROHIBITION ON ENGAGING IN SANCTIONED ACTIVITIES RELATING TO IRAN-CERTIFICATION (SEP 2010) .................... 7 K-5 FAR 52.230-1 COST ACCOUNTING STANDARDS NOTICES AND CERTIFICATION (OCT 2008)....................................................................................... 7

259

PART IV … REPRESENTATIONS AND INSTRUCTIONS  

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

MAY 2011) ....................................................................................................................... 1 MAY 2011) ....................................................................................................................... 1 K-2 FAR 52.209-2 PROHIBITION ON CONTRACTING WITH INVERTED DOMESTIC CORPORATIONS--REPRESENTATION (MAY 2011) ....................... 5 K-3 FAR 52.209-7 INFORMATION REGARDING RESPONSIBILITY MATTERS (JAN 2011) ......................................................................................................................... 5 K-4 FAR 52.225-25 PROHIBITION ON ENGAGING IN SANCTIONED ACTIVITIES RELATING TO IRAN-CERTIFICATION (SEP 2010) .................... 7 K-5 FAR 52.230-1 COST ACCOUNTING STANDARDS NOTICES AND CERTIFICATION (OCT 2008)....................................................................................... 7

260

Recognition and representation of user interest  

E-Print Network [OSTI]

OF SCIENCE Approved by: Chair of Committee, Frank Shipman Committee Members, Richard Furuta Takashi Yamauchi Head of Department, Valerie E. Taylor December 2005 Major Subject: Computer Science iii ABSTRACT Recognition and Representation of User Interest.... (December 2005) Rajiv Ravindranath Badi, B.E., Bangalore University, Bangalore, India Chair of Advisory Committee: Dr. Frank Shipman With the growth of the internet and other media of communication, locating infor- mation on the topic of interest is less a...

Badi, Rajiv Ravindranath

2007-04-25T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Dirac's contour representation in thermofield dynamics  

Science Journals Connector (OSTI)

The Dirac contour representation and its properties are studied. It provides an elegant formalism for an extension of the harmonic-oscillator Hilbert space into a larger space that is suitable for the description of oscillator systems at both positive and negative temperatures. The analytic continuation of various physical quantities into the negative temperature region is examined in detail, and several interesting connections are revealed.

A. Vourdas and R. F. Bishop

1996-03-01T23:59:59.000Z

262

Efficient Estimation in a Regression Model with Missing Responses  

E-Print Network [OSTI]

function for the linear regression model where r#(X) = #>X is b( i; Xi; i) = E h fX E(Xj = 1)gl( ) + E(Xj = 1) 2 i n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o> 1 i n [Xi E(Xj = 1)]l( i) + E(Xj = 1) i 2 o : Proof: Assuming r#(X...) = #>X then _r#(X) = X, and Equation 2.2 becomes ( i; Xi; i) = fX E[Xj = 1]g l( i) + E[Xj = 1] i 2 : The e cient in uence function from Equation 2.3 is b( i; Xi; i) = E n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o n [X E(Xj = 1)]l( ) + E...

Crawford, Scott

2012-10-19T23:59:59.000Z

263

On the kernel and the image of the rigid analytic regulator in positive characteristic.  

E-Print Network [OSTI]

We will formulate and prove a certain reciprocity law relating certain residues of the differential symbol dlog^2 from the K_2 of a Mumford curve to the rigid analytic regulator constructed by the author in a previous paper. We will use this result to deduce some consequences on the kernel and image of the rigid analytic regulator analogous to some old conjectures of Beilinson and Bloch on the complex analytic regulator. We also relate our construction to the symbol defined by Contou-Carrere and to Kato's residue homomorphism, and we show that Weil's reciprocity law directly implies the reciprocity law of Anderson and Romo.

Ambrus Pal

264

Heat kernels and the range of the trace on completions of twisted group algebras.  

E-Print Network [OSTI]

Heat kernels are used in this paper to express the analytic index of projectively invariant Dirac type operators on G-covering spaces of compact manifolds, as elements in the K-theory of certain unconditional completions of the twisted group algebra of G. This is combined with V. Lafforgue's results in the untwisted case, to compute the range of the trace on the K-theory of these algebras, under the hypothesis that G is in the class C' (defined by V. Lafforgue).

Varghese Mathai (U. Adelaide).; 398 (2006) 321-346

265

Regressing Gas/Particle Partitioning Data for Polycyclic Aromatic Hydrocarbons  

Science Journals Connector (OSTI)

Regressing Gas/Particle Partitioning Data for Polycyclic Aromatic Hydrocarbons ... Although PAHs can be emitted to the environment as a result of natural combustion processes (e.g., forest fires and volcanoes), human activities are believed to dominate global PAH emissions, because high atmospheric concentrations of PAHs are usually observed in urban and industrial areas where vehicle traffic, aluminum smelting, residential heating, and other activities emit PAHs into the atmosphere (4, 5). ... One of the earliest approaches to describing the G/P partitioning equilibrium of PAHs, known as the Junge?Pankow model, relates ? to PL using the following: The parameter A in this equation is sometimes interpreted as the product of two terms c and ?. ? is the surface area of particles in a unit volume of air (cm2cm-3) and c (Pacm) is a substance-specific factor depending on ambient temper ature, compound, sorption sites, and the heats of desorption from surface and vaporization from the liquid compound (7, 10, 14). ...

Yushan Su; Ying Duan Lei; Frank Wania; Mahiba Shoeib; Tom Harner

2006-04-22T23:59:59.000Z

266

A first order geometric auto regressive process for boundary layer wind speed simulation  

Science Journals Connector (OSTI)

Under certain conditions the first order geometric auto regressive (AR) process has statistical properties similar to atmospheric boundary layer wind speed. In this contribution, we investigate ... this stochas...

T. Laubrich; H. Kantz

2009-08-01T23:59:59.000Z

267

About First Order Geometric Auto Regressive Processes for Boundary Layer Wind Speed Simulation  

Science Journals Connector (OSTI)

Under certain conditions the first order geometric auto regressive process has statistical properties similar to atmospheric boundary layer wind speed. In this contribution, we investigate ... this stochastic pro...

Thomas Laubrich; Holger Kantz

2010-01-01T23:59:59.000Z

268

Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit  

E-Print Network [OSTI]

Indoor Air Quality in New Homes. California Air Resourcesprograms, likely because WAP homes were more leaky pre-Air Leakage of US Homes: Regression Analysis and

Chan, Wanyu R.

2014-01-01T23:59:59.000Z

269

Power counting and renormalization group invariance in the subtracted kernel method for the two-nucleon system  

E-Print Network [OSTI]

We apply the subtracted kernel method (SKM), a renormalization approach based on recursive multiple subtractions performed in the kernel of the scattering equation, to the chiral nucleon-nucleon (NN) interactions up to next-to-next-to-leading-order (NNLO). We evaluate the phase-shifts in the 1S0 channel at each order in Weinberg's power counting scheme and in a modified power counting scheme which yields a systematic power-law improvement. We also explicitly demonstrate that the SKM procedure is renormalization group invariant under the change of the subtraction scale through a non-relativistic Callan-Symanzik flow equation for the evolution of the renormalized NN interactions.

Srgio Szpigel; Varese S. Timteo

2011-12-27T23:59:59.000Z

270

Kinetic Theory of a Dense Gas: Properties of Collision Kernels of the Bogoliubov Type  

Science Journals Connector (OSTI)

We study the collision kernels of two linearized equations for a moderately dense gas. These are the low-density Bogoliubov kinetic equation and the equation at the next order in the density (ternary-collision level), in the form given by Green and Cohen. We reduce the collision kernels of these equations to expressions which are nonlocal in space but local in time, and show that each of them breaks up into static and collisional parts. The former parts agree with the mean-field expressions. We compare the collisional parts with the fully dynamical expressions previously found by Mazenko and us, and find complete agreement only at zero wave vector and frequency. For nonzero wave vectors, the desired symmetry in the momentum variables breaks down. We show that this has no effect on the first-order transport coefficients; it would presumably be significant in the kinetic regime. We also find that the speed of sound predicted by the Bogoliubov equation agrees with the thermodynamic result truncated at first order in the density.

C. D. Boley and Rashmi C. Desai

1973-06-01T23:59:59.000Z

271

Heat kernel of non-minimal gauge field kinetic operators on Moyal plane  

E-Print Network [OSTI]

We generalize the Endo formula originally developed for the computation of the heat kernel asymptotic expansion for non-minimal operators in commutative gauge theories to the noncommutative case. In this way, the first three non-zero heat trace coefficients of the non-minimal U(N) gauge field kinetic operator on the Moyal plane taken in an arbitrary background are calculated. We show that the non-planar part of the heat trace asymptotics is determined by U(1) sector of the gauge model. The non-planar or mixed heat kernel coefficients are shown to be gauge-fixing dependent in any dimension of space-time. In the case of the degenerate deformation parameter the lowest mixed coefficients in the heat expansion produce non-local gauge-fixing dependent singularities of the one-loop effective action that destroy the renormalizability of the U(N) model at one-loop level. The twisted-gauge transformation approach is discussed.

Alexei Strelchenko

2006-08-18T23:59:59.000Z

272

An Investigation of Subword Unit Representations for Spoken Document Retrieval  

E-Print Network [OSTI]

An Investigation of Subword Unit Representations for Spoken Document Retrieval Kenney Ng and Victor W. Zue Spoken Language Systems Group MIT Laboratory for Computer Science 545 Technology Square

273

Styles of Political Representation: What do Voters Expect?  

E-Print Network [OSTI]

politics. Scandinavian Political Studies 9 (3): 279-90.Holmberg, Sren. (1989) Political representation in Sweden.Scandinavian Political Studies 12 Inglehart, Ronald. (2007)

Bengtsson, sa; Wass, Hanna

2009-01-01T23:59:59.000Z

274

Non-standard Schwinger fermionic representation of unitary group  

E-Print Network [OSTI]

The non-standard Schwinger fermionic representation of the unitary group is studied by using $n$-fermion operators. One finds that the Schwinger fermionic representation of the U(n) group is not unique when $n\\ge 3$. In general, based on $n$-fermion operators, the non-standard Schwinger fermionic representation of the U(n) group can be established in a uniform approach, where all the generators commute with the total number operators. The Schwinger fermionic representation of $U(C^{m}_{n})$ group is also discussed.

Fu-Lin Zhang; Jing-Ling Chen

2008-01-09T23:59:59.000Z

275

Regression analysis of technical parameters affecting nuclear power plant performances  

SciTech Connect (OSTI)

Since the 80's many studies have been conducted in order to explicate good and bad performances of commercial nuclear power plants (NPPs), but yet no defined correlation has been found out to be totally representative of plant operational experience. In early works, data availability and the number of operating power stations were both limited; therefore, results showed that specific technical characteristics of NPPs were supposed to be the main causal factors for successful plant operation. Although these aspects keep on assuming a significant role, later studies and observations showed that other factors concerning management and organization of the plant could instead be predominant comparing utilities operational and economic results. Utility quality, in a word, can be used to summarize all the managerial and operational aspects that seem to be effective in determining plant performance. In this paper operational data of a consistent sample of commercial nuclear power stations, out of the total 433 operating NPPs, are analyzed, mainly focusing on the last decade operational experience. The sample consists of PWR and BWR technology, operated by utilities located in different countries, including U.S. (Japan)) (France)) (Germany)) and Finland. Multivariate regression is performed using Unit Capability Factor (UCF) as the dependent variable; this factor reflects indeed the effectiveness of plant programs and practices in maximizing the available electrical generation and consequently provides an overall indication of how well plants are operated and maintained. Aspects that may not be real causal factors but which can have a consistent impact on the UCF, as technology design, supplier, size and age, are included in the analysis as independent variables. (authors)

Ghazy, R.; Ricotti, M. E.; Trueco, P. [Politecnico di Milano, Via La Masa, 34, 20156 Milano (Italy)

2012-07-01T23:59:59.000Z

276

Journal of Machine Learning Research 12 (2011) 1313-1347 Submitted 3/10; Revised 10/10; Published 4/11 A Family of Simple Non-Parametric Kernel Learning Algorithms  

E-Print Network [OSTI]

/11 A Family of Simple Non-Parametric Kernel Learning Algorithms Jinfeng Zhuang ZHUA0016@NTU.EDU.SG Ivor W. Tsang IVORTSANG@NTU.EDU.SG Steven C.H. Hoi CHHOI@NTU.EDU.SG School of Computer Engineering Nanyang results. Therefore, the choice of an effective kernel plays a crucial role in many kernel based machine

Tsang Wai Hung "Ivor"

277

Auxiliary fields representation for modified gravity models  

SciTech Connect (OSTI)

We consider tensor-multiscalar representations for several types of modified gravity actions. The first example is the theory with the action representing an arbitrary smooth function of the scalar curvature R and {open_square}R, the integrand of the Gauss-Bonnet term and the square of the Weyl tensor. We present a simple procedure leading to an equivalent theory of a space-time metric and four auxiliary scalars and especially discuss the calibration of a cosmological constant and the condition of the existence of de Sitter-like solutions in the case of an empty universe. The condition for obtaining a smaller number of independent scalar fields is derived. The second example is the Eddington-like gravity action. In this case we show, in particular, the equivalence of the theory to general relativity with the cosmological constant term, with or without use of the first-order formalism, and also discuss some possible generalizations.

Rodrigues, Davi C.; Salles, Filipe de O; Shapiro, Ilya L.; Starobinsky, Alexei A. [Departamento de Fisica, CCE, Universidade Federal do Espirito Santo, 29075-910, Vitoria, ES (Brazil); Departamento de Fisica, ICE, Universidade Federal de Juiz de Fora, 36036-330, MG (Brazil); Landau Institute for Theoretical Physics, Moscow, 119334 (Russian Federation); RESCEU, Graduate School of Science, University of Tokyo, Tokyo 113-0033 (Japan)

2011-04-15T23:59:59.000Z

278

Asymptotic representations of quantum affine superalgebras  

E-Print Network [OSTI]

We study representations of the $q$-Yangian, the upper Borel subalgebra with respect to RTT realization of the quantum affine superalgebra associated with the Lie superalgebra $\\mathfrak{gl}(M,N)$. Following the work of Hernandez-Jimbo, we construct inductive systems of Kirillov-Reshetikhin modules by using a cyclicity result of tensor products of these modules we established recently, and realize their inductive limits as modules over the $q$-Yangian, extending the asymptotic construction of Hernandez-Jimbo to the super case. Then, we propose a new asymptotic construction on the inductive limits of the same inductive systems, resulting in modules over the full quantum affine superalgebra depending on an additional parameter. $q$-character and Gelfand-Tsetlin basis for these two kinds of modules are also investigated.

Huafeng Zhang

2014-10-03T23:59:59.000Z

279

Complex shell model representation including antibound states  

Science Journals Connector (OSTI)

A generalization of the complex shell model formalism is presented that includes antibound states in the basis. These states, together with bound states, Gamow states, and the continuum background, represented by properly chosen scattering waves, form a representation in which all states are treated on the same footing. Two-particle states are evaluated within this formalism, and observable two-particle resonances are defined. The formalism is illustrated in the well-known case of Li11 in its bound ground state and in Ca70(g.s.), which is also bound. Both cases are found to have a halo structure. These halo structures are described within the generalized complex shell model. We investigated the formation of two-particle resonances in these nuclei, but no evidence of such resonances was found.

R. Id Betan; R. J. Liotta; N. Sandulescu; T. Vertse; R. Wyss

2005-11-30T23:59:59.000Z

280

Visual comparison of software cost estimation models by regression error characteristic analysis  

Science Journals Connector (OSTI)

The well-balanced management of a software project is a critical task accomplished at the early stages of the development process. Due to this requirement, a wide variety of prediction methods has been introduced in order to identify the best strategy ... Keywords: Estimation by analogy, Regression analysis, Regression error characteristic curves, Software cost estimation

Nikolaos Mittas; Lefteris Angelis

2010-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net  

E-Print Network [OSTI]

. Furthermore, un- like the Lasso, the Elastic Net can yield a sparse esti- mate with more than n non-zero477 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net Alexander to regression regulariza- tion called the Pairwise Elastic Net is pro- posed. Like the Elastic Net, it simultane

Low, Steven H.

282

TR-09-09: Regression Testing Minimisation, Selection and Prioritisation -A Survey  

E-Print Network [OSTI]

TR-09-09: Regression Testing Minimisation, Selection and Prioritisation - A Survey Shin Yoo & Mark Harman Centre for Research on Evolution, Search & Testing King's College London Strand, London, WC2R 2LS, UK October 26, 2009 Abstract Regression testing is a testing activity that is performed to provide

Singer, Jeremy

283

Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses  

E-Print Network [OSTI]

Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses by David Title of Thesis: Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses I in whole or in part. Any reproduction will not be for commercial use or profit. Signature Date ii #12;Gas

Salvaggio, Carl

284

Infinite Dimensional Port Hamiltonian Representation of Chemical Reactors  

E-Print Network [OSTI]

Infinite Dimensional Port Hamiltonian Representation of Chemical Reactors W. Zhou B. Hamroun Y.le.gorrec@ens2m.fr) Abstract: Infinite dimensional Port Hamiltonian representation of non isothermal chemical: Port Hamiltonian Systems, Distributed Systems, Irreversible Thermodynamics 1. INTRODUCTION Models

Paris-Sud XI, Université de

285

Case Generation Using Rough Sets with Fuzzy Representation  

E-Print Network [OSTI]

Case Generation Using Rough Sets with Fuzzy Representation Sankar K. Pal, Fellow, IEEE, and Pabitra a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model-life data sets. Index Terms--Case-based reasoning, linguistic representation, rough dependency rules

Mitra, Pabitra

286

Combining Document Representations for Known-Item Search  

E-Print Network [OSTI]

This paper investigates the pre-conditions for successful combination of document representations formed from representations. There has been extensive work on studying the effectiveness of meta-search and the conditions for success [5][14][19]. Aslam and Montague [1] summarize this work by stating: "The systems being combined

Callan, Jamie

287

UCPNetworks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier  

E-Print Network [OSTI]

UCP­Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier@cs.bgu.ac.il Abstract We propose a directed graphical representation of util­ ity functions, called UCP­networks. The network de­ composes a utility function into a number of additive factors, with the directionality

Brafman, Ronen

288

Using Graphical Representations to Support the Calculation of Infusion Parameters  

E-Print Network [OSTI]

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

Subramanian, Sriram

289

Representation Systems and Undergraduate Proof Production: A Comment on Weber  

E-Print Network [OSTI]

Representation Systems and Undergraduate Proof Production: A Comment on Weber Lara Alcock & Matthew proof production occurs when much of the prover's work takes place [outside] the representation system systems involved in undergraduate proof production. We discuss these issues further below. However, we

Inglis, Matthew

290

A CLASS OF ESSENTIAL REPRESENTATIONS OF PRODUCT SYSTEMS  

E-Print Network [OSTI]

A CLASS OF ESSENTIAL REPRESENTATIONS OF PRODUCT SYSTEMS REMUS FLORICEL Abstract. We construct a family of essential representations of an arbitrary product system by generalizing some techniques intro of the product system on unital vectors. In the sequel, this classification shows explicitly that any E0

Argerami, Martin

291

Audio signal representations for indexing in the transform domain  

E-Print Network [OSTI]

1 Audio signal representations for indexing in the transform domain Emmanuel Ravelli, Student--Indexing audio signals directly in the transform domain can potentially save a significant amount of computation to fully decode the signals. Here, we show that the representations used in standard transform-based audio

Paris 7 - Denis Diderot, Université

292

Audio signal representations for indexing in the transform domain  

E-Print Network [OSTI]

1 Audio signal representations for indexing in the transform domain Emmanuel Ravelli, Ga¨el Richard, Senior Member, IEEE, and Laurent Daudet, Member, IEEE Abstract--Indexing audio signals directly that the representations used in standard transform-based audio codecs (e.g. MDCT for AAC, or hybrid PQF/MDCT for MP3) have

Richard, Gaël

293

Noise Kernel and Stress Energy Bi-Tensor of Quantum Fields in Conformally-Optical Metrics: Schwarzschild Black Holes  

E-Print Network [OSTI]

In Paper II [N. G. Phillips and B. L. Hu, previous abstract] we presented the details for the regularization of the noise kernel of a quantum scalar field in optical spacetimes by the modified point separation scheme, and a Gaussian approximation for the Green function. We worked out the regularized noise kernel for two examples: hot flat space and optical Schwarzschild metric. In this paper we consider noise kernels for a scalar field in the Schwarzschild black hole. Much of the work in the point separation approach is to determine how the divergent piece conformally transforms. For the Schwarzschild metric we find that the fluctuations of the stress tensor of the Hawking flux in the far field region checks with the analytic results given by Campos and Hu earlier [A. Campos and B. L. Hu, Phys. Rev. D {\\bf 58} (1998) 125021; Int. J. Theor. Phys. {\\bf 38} (1999) 1253]. We also verify Page's result [D. N. Page, Phys. Rev. {\\bf D25}, 1499 (1982)] for the stress tensor, which, though used often, still lacks a rigorous proof, as in his original work the direct use of the conformal transformation was circumvented. However, as in the optical case, we show that the Gaussian approximation applied to the Green function produces significant error in the noise kernel on the Schwarzschild horizon. As before we identify the failure as occurring at the fourth covariant derivative order.

Nicholas G Phillips; B. L. Hu

2002-09-17T23:59:59.000Z

294

Heat-kernel expansion and counterterms of the Faddeev-Popov determinant in Coulomb and Landau gauge  

E-Print Network [OSTI]

The Faddeev-Popov determinant of Landau gauge in d dimensions and Coulomb gauge in d+1 dimensions is calculated in the heat-kernel expansion up to next-to-leading order. The UV-divergent parts in d=3,4 are isolated and the counterterms required for a non-perturbative treatment of the Faddeev-Popov determinant are determined.

Hugo Reinhardt; Davide R. Campagnari

2010-01-29T23:59:59.000Z

295

RTK-Spec TRON: A Simulation Model of an ITRON Based RTOS Kernel in SystemC  

E-Print Network [OSTI]

This paper presents the methodology and the modeling constructs we have developed to capture the real time aspects of RTOS simulation models in a System Level Design Language (SLDL) like SystemC. We describe these constructs and show how they are used to build a simulation model of an RTOS kernel targeting the $\\mu$-ITRON OS specification standard.

Hassan, M Abdelsalam; Takeuchi, Yoshinori; Imai, Masaharu

2011-01-01T23:59:59.000Z

296

Regression Models for Demand Reduction based on Cluster Analysis of Load  

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

Regression Models for Demand Reduction based on Cluster Analysis of Load Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles Speaker(s): Nobuyuki Yamaguchi Date: March 26, 2009 - 12:00pm Location: 90-3122 This seminar provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. We examined the performance of the proposed models with respect to the validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial

297

Three-dimensional photodissociation in strong laser fields: Memory-kernel effective-mode expansion  

SciTech Connect (OSTI)

We introduce a method for the efficient computation of non-Markovian quantum dynamics for strong (and time-dependent) system-bath interactions. The past history of the system dynamics is incorporated by expanding the memory kernel in exponential functions thereby transforming in an exact fashion the non-Markovian integrodifferential equations into a (larger) set of ''effective modes'' differential equations (EMDE). We have devised a method which easily diagonalizes the EMDE, thereby allowing for the efficient construction of an adiabatic basis and the fast propagation of the EMDE in time. We have applied this method to three-dimensional photodissociation of the H{sub 2}{sup +} molecule by strong laser fields. Our calculations properly include resonance-Raman scattering via the continuum, resulting in extensive rotational and vibrational excitations. The calculated final kinetic and angular distribution of the photofragments are in overall excellent agreement with experiments, both when transform-limited pulses and when chirped pulses are used.

Li Xuan [Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z3 (Canada); Thanopulos, Ioannis [Theoretical and Physical Chemistry Institute, National Hellenic Research Foundation, Athens 11635 (Greece); Shapiro, Moshe [Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z3 (Canada); Department of Chemical Physics, Weizmann Institute, Rehovot 76100 (Israel)

2011-03-15T23:59:59.000Z

298

Estimating the Bias of Local Polynomial Approximation Methods Using the Peano Kernel  

SciTech Connect (OSTI)

The determination of uncertainty of an estimate requires both the variance and the bias of the estimate. Calculating the variance of local polynomial approximation (LPA) estimates is straightforward. We present a method, using the Peano Kernel Theorem, to estimate the bias of LPA estimates and show how this can be used to optimize the LPA parameters in terms of the bias-variance tradeoff. Figures of merit are derived and values calculated for several common methods. The results in the literature are expanded by giving bias error bounds that are valid for all lengths of the smoothing interval, generalizing the currently available asymptotic results that are only valid in the limit as the length of this interval goes to zero.

Blair, J.; Machorro, E.; Luttman, A.

2013-03-01T23:59:59.000Z

299

Performance Engineering of the Kernel Polynomial Method on Large-Scale CPU-GPU Systems  

E-Print Network [OSTI]

The Kernel Polynomial Method (KPM) is a well-established scheme in quantum physics and quantum chemistry to determine the eigenvalue density and spectral properties of large sparse matrices. In this work we demonstrate the high optimization potential and feasibility of peta-scale heterogeneous CPU-GPU implementations of the KPM. At the node level we show that it is possible to decouple the sparse matrix problem posed by KPM from main memory bandwidth both on CPU and GPU. To alleviate the effects of scattered data access we combine loosely coupled outer iterations with tightly coupled block sparse matrix multiple vector operations, which enables pure data streaming. All optimizations are guided by a performance analysis and modelling process that indicates how the computational bottlenecks change with each optimization step. Finally we use the optimized node-level KPM with a hybrid-parallel framework to perform large scale heterogeneous electronic structure calculations for novel topological materials on a pet...

Kreutzer, Moritz; Wellein, Gerhard; Pieper, Andreas; Alvermann, Andreas; Fehske, Holger

2014-01-01T23:59:59.000Z

300

Human Responses to Climate Change: Social Representation, Identity and Socio-Psychological Action  

E-Print Network [OSTI]

and methodological approaches. Keywords: climate change; communication; social representation; identity; social representations and applies them to the issue of climate change communication, focusing in particularHuman Responses to Climate Change: Social Representation, Identity and Socio- Psychological Action

Royal Holloway, University of London

Note: This page contains sample records for the topic "kernel regression representation" 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

Graph representation of protein free energy landscape  

SciTech Connect (OSTI)

The thermodynamics and kinetics of protein folding and protein conformational changes are governed by the underlying free energy landscape. However, the multidimensional nature of the free energy landscape makes it difficult to describe. We propose to use a weighted-graph approach to depict the free energy landscape with the nodes on the graph representing the conformational states and the edge weights reflecting the free energy barriers between the states. Our graph is constructed from a molecular dynamics trajectory and does not involve projecting the multi-dimensional free energy landscape onto a low-dimensional space defined by a few order parameters. The calculation of free energy barriers was based on transition-path theory using the MSMBuilder2 package. We compare our graph with the widely used transition disconnectivity graph (TRDG) which is constructed from the same trajectory and show that our approach gives more accurate description of the free energy landscape than the TRDG approach even though the latter can be organized into a simple tree representation. The weighted-graph is a general approach and can be used on any complex system.

Li, Minghai; Duan, Mojie; Fan, Jue; Huo, Shuanghong, E-mail: shuo@clarku.edu [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States); Han, Li [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)

2013-11-14T23:59:59.000Z

302

E-Print Network 3.0 - absolute risk representation Sample Search...  

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

representation of risk (ICOLD... representation of risk (ICOLD 2005 after Bowles 1996). Acceptable vs. Tolerable Risk The HSE (2001) emphasises... the definition of broadly...

303

Bias in Predicting Annual Energy Use in Commercial Buildings with Regression Models Developed from Short Data Sets  

E-Print Network [OSTI]

from energy conserving retrofits. The regression modeling approach is accurate and reliable if several months of data (more than six months) are used to develop the model. If such is not the case, the regression models can, unfortunately, lead...

Katipamula, S.; Reddy, T. A.; Claridge, D. E.

1994-01-01T23:59:59.000Z

304

Classification and regression trees for epidemiologic research: an air pollution example  

Science Journals Connector (OSTI)

Regression trees can be used to hypothesize about joint effects of exposure mixtures and may be particularly useful in the field of air pollution epidemiology for gaining a better understanding of...

Katherine Gass; Mitch Klein; Howard H Chang; W Dana Flanders

2014-03-01T23:59:59.000Z

305

The Economic Value of Irrigation Water in the Western United States: An Application to Ridge Regression  

E-Print Network [OSTI]

problem ridge regression was employed. While admittedly a biased estimation technique, the credibility of the estimates appeared to increase. All parameter estimates, except for one out of 99, took on the expected positive sign and the standard errors were...

Frank, M. D.; Beattie, B. R.

306

Mining customer credit by using neural network model with logistic regression approach  

E-Print Network [OSTI]

. The objective of this research was to investigate the methodologies to mine customer credit history for the bank industry. Particularly, combination of logistic regression model and neural network technique are proposed to determine if the predictive capability...

Kao, Ling-Jing

2001-01-01T23:59:59.000Z

307

Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors  

E-Print Network [OSTI]

Although the literature on measurement error problems is quite extensive, solutions to even the most fundamental measurement error problems like density deconvolution and regression with errors-in-covariates are available only under numerous...

Sarkar, Abhra

2014-06-24T23:59:59.000Z

308

Logistic regression models for predicting trip reporting accuracy in GPS-enhanced household travel surveys  

E-Print Network [OSTI]

This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...

Forrest, Timothy Lee

2007-04-25T23:59:59.000Z

309

A regression approach to infer electricity consumption of legacy telecom equipment  

E-Print Network [OSTI]

A regression approach to infer electricity consumption of legacy telecom equipment [Extended and communications technology accounts for a significant fraction of worldwide electricity consumption. Given inferring the electricity consumption of different components of the installed base of telecommu- nications

Fisher, Kathleen

310

Spatial postprocessing of ensemble forecasts for temperature using nonhomogeneous Gaussian regression  

Science Journals Connector (OSTI)

Statistical postprocessing techniques are commonly used to improve the skill of ensembles of numerical weather forecasts. This paper considers spatial extensions of the well-established nonhomogeneous Gaussian regression (NGR) postprocessing ...

Kira Feldmann; Michael Scheuerer; Thordis L. Thorarinsdottir

311

ECOLOGIC REGRESSION ANALYSIS AND THE STUDY OF THE INFLUENCE OF AIR QUALITY ON MORTALITY  

E-Print Network [OSTI]

Control II Variables Air Quality Regression CoefficientsAppendices A. Sources of Air Quality and 11 Control" Data B.The relationship of air quality to disease has been

Selvin, S.

2014-01-01T23:59:59.000Z

312

Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis  

E-Print Network [OSTI]

Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel ...

Preacher, K. J.; Curran, Patrick J.; Bauer, D. J.

2007-04-09T23:59:59.000Z

313

The Institute for Public Representation, on behalf of the Potomac  

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

The Institute for Public Representation, on behalf of the Potomac The Institute for Public Representation, on behalf of the Potomac Riverkeeper, Inc., the Patuxent Riverkeeper, and the Anacostia Riverkeeper at Earth Conservation Corps Comments on Department of Energy's Special Environmental Analysis Regarding Operatio The Institute for Public Representation, on behalf of the Potomac Riverkeeper, Inc., the Patuxent Riverkeeper, and the Anacostia Riverkeeper at Earth Conservation Corps Comments on Department of Energy's Special Environmental Analysis Regarding Operatio Docket No. EO-05-01. Order No. 202-07-02: The Institute for Public Representation, on behalf of the Potomac Riverkeeper, Inc., the Patuxent Riverkeeper, and the Anacostia Riverkeeper at Earth Conservation Corps, submits the following comments on the Department of Energy's November

314

A Line Based Pose Representation for Human Action Recognition  

E-Print Network [OSTI]

of an action and distinguishing one from the others. Keywords: human motion, action recognition, pose. Experimental results on Weizmann and KTH datasets emphasize the power of our pose representation, and show

Duygulu-Sahin, Pinar

315

Economic Representation of Agricultural Activities in Water Resources Systems Engineering  

E-Print Network [OSTI]

i Economic Representation of Agricultural Activities in Water Resources Systems Engineering. #12;iii Guilherme Fernandes Marques January 2004 Civil and Environmental Engineering Economic of DOCTOR OF PHILOSOPHY in Engineering in the OFFICE OF GRADUATE STUDIES of the UNIVERSITY OF CALIFORNIA

Lund, Jay R.

316

An artificial neural network representation for artificial organisms  

Science Journals Connector (OSTI)

We introduce an artificial neural network (ANN) representation that supports the evolution of complex behaviors in artificial organisms. The strength and location of each connection in the network is specified by...

Robert J. Collins; David R. Jefferson

1991-01-01T23:59:59.000Z

317

Using graphical representation of user interfaces as visual references  

E-Print Network [OSTI]

My thesis investigates using a graphical representation of user interfaces - screenshots - as a direct visual reference to support various kinds of applications. We have built several systems to demonstrate and validate ...

Zhang, Zongxiang

2012-01-01T23:59:59.000Z

318

Free energy differences : Representations, estimators, and sampling strategies  

E-Print Network [OSTI]

In this thesis we examine methodologies for determining free energy differences (FEDs) of phases via Monte Carlo simulation. We identify and address three generic issues that arise in FED calculations; the choice of representation, the choice...

Acharya, Arjun R

319

Synthetic Generation of Events for Address-Event-Representation Communications  

Science Journals Connector (OSTI)

Address-Event-Representation (AER) is a communications protocol for transferring images between chips, originally developed for bio-inspired image processing systems. Such systems may consist of a complicated hierarchical structure with many chips that ...

Alejandro Linares-Barranco; Gabriel Jimnez; Antn Civit; Bernab Linares-Barranco

2002-09-01T23:59:59.000Z

320

Topological conditions for the representation of preorders by continuous utilities  

E-Print Network [OSTI]

We remove the Hausdorff condition from Levin's theorem on the representation of preorders by families of continuous utilities. We compare some alternative topological assumptions in a Levin's type theorem, and show that they are equivalent to a Polish space assumption.

E. Minguzzi

2011-12-13T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Crossdressing Cinema: An Analysis of Transgender Representation in Film  

E-Print Network [OSTI]

representation as a tendency to present a consistent, homogenous whole. Only through an awareness of difference can the power that comes from marginalizing others be removed.1 Similar to Hall and Lorde, communication scholars Victoria De...

Miller, Jeremy Russell

2012-10-19T23:59:59.000Z

322

Truth and Representation in Science: Two Inspirations from Art  

Science Journals Connector (OSTI)

Realists regarding scientific knowledge-those who think that our best scientific representations truly describe both observable and unobservable aspects of the world-have special need of a notion of approximate truth

Anjan Chakravartty

2010-01-01T23:59:59.000Z

323

A PROPOSITIONAL REPRESENTATION MODEL OF ANATOMICAL AND FUNCTIONAL BRAIN DATA  

E-Print Network [OSTI]

A PROPOSITIONAL REPRESENTATION MODEL OF ANATOMICAL AND FUNCTIONAL BRAIN DATA Pablo MATURANA as a methodological tool to examine brain network organization, topology and complex dynamics, as well brain data and neuropsychological assessments linked to the functions explored in these assessments

Paris-Sud XI, Université de

324

Generating Tensor Representation from Concept Tree in Meaning Based Search  

E-Print Network [OSTI]

to a representation that can be stored and compared efficiently on computers. Meaning of objects can be adequately captured in terms of a hierarchical composition structure called concept tree. This thesis describes the design and development...

Panigrahy, Jagannath

2011-08-08T23:59:59.000Z

325

An Overview of Geometry Representation in Monte Carlo Codes  

National Nuclear Security Administration (NNSA)

Geometry Representation Geometry Representation in Monte Carlo Codes R.P. Kensek, * B.C. Franke, * T.W. Laub * , L.J. Lorence, * M. R. Martin, * S. Warren † * Sandia National Laboratories, P.O. Box 5800, MS 1179, Albuquerque, NM 87185 † Kansas State University, Manhattan, KS 66506 Geometry representations in production Monte Carlo radiation transport codes used for linear-transport simulations are traditionally limited to combinatorial geometry (CG) topologies. While CG representations of input geometries are efficient to query, they are difficult to construct. In the Integrated-TIGER-Series (ITS) Monte Carlo code suite, a new approach for radiation transport geometry engines has been implemented that allows for Computer Aided Design (CAD), facetted approximations, and other geometry types to simultaneously define an input geometry.

326

Extension of multivariate regression trees to interval data. Application to electricity load profiling  

Science Journals Connector (OSTI)

Several data can be presented as interval curves where ... particular, this representation is well adapted for load profiles, which depict the electricity consumption of a class of customers. Electricity load pro...

Vronique Cariou

2006-01-01T23:59:59.000Z

327

Using functional representation in the reducing ATPG search  

E-Print Network [OSTI]

USING FUNCTIONAL REPRESENTATION IN REDUCING ATPG SEARCH A Thesis by BRIAN JAMES BAUERSCHMIDT Submitted to the Oflice of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... December 1993 Major Subject: Electrical Engineering USING FUNCTIONAL REPRESENTATION IN REDUCING ATPG SEARCH A Thesis by BRIAN JAMES BAUERSCHMIDT Submitted to Texas ARM University in partial fulfillment of the requirements for the degree of MASTER...

Bauerschmidt, Brian James

2012-06-07T23:59:59.000Z

328

Effects of Representations in Engineering Idea Generation Process  

E-Print Network [OSTI]

of physical representations. The frequent use of physical models is advised by Tom Kelly of the very successful product design firm, IDEO (Kelley & Littman, 2001). Baxter warns that the designer should think carefully before building prototypes as it can... of physical representations. The frequent use of physical models is advised by Tom Kelly of the very successful product design firm, IDEO (Kelley & Littman, 2001). Baxter warns that the designer should think carefully before building prototypes as it can...

Cherickal Viswanathan, Vimal Kumar

2012-02-14T23:59:59.000Z

329

Quasi-representations of Finsler modules over C*-algebras  

E-Print Network [OSTI]

We aim to show that every Finsler module over a $C^*$-algebra has a quasi-representation into the Banach space $\\mathbb{B}(\\mathscr{H},\\mathscr{K})$ of all bounded linear operators between some Hilbert spaces $\\mathscr{H}$ and $\\mathscr{K}$. We then apply our results to establish a Stinespring type theorem in the framework of Finsler $C^*$-modules. We also investigate the nondegeneracy and the irreducibility of quasi-representations.

Amyari, M; Moslehian, M S

2012-01-01T23:59:59.000Z

330

Unified Field Theory and Principle of Representation Invariance  

Science Journals Connector (OSTI)

The main objectives of this article are to postulate a new principle of representation invariance (PRI), and to refine the unified field model of four interactions, derived using the principle of interaction dynamics (PID). Intuitively, PID takes the ... Keywords: Asymptotic freedom, Atom potential, Duality theory of interactions, Electroweak theory, Higgs bosons, Higgs mechanism, Nucleon potential, Principle of Interaction Dynamics (PID), Principle of Representation Invariance (PRI), Quark confinement, Quark potential, Strong interaction force formulas, Unified field equations, Weak interaction force formula, Weak interaction potential

Tian Ma, Shouhong Wang

2014-06-01T23:59:59.000Z

331

Measure of nonclassical correlation in coherence-vector representation  

SciTech Connect (OSTI)

We consider the coherence-vector representation of a bipartite state and obtain a necessary and sufficient condition for a zero-discord state. Based on this, a measure of quantum, classical, and total amount of correlations in bipartite states is proposed in this representation. Analytical expressions for this measure are available for any bipartite states. Our measure of nonclassical correlation coincides with the geometric measure of quantum discord for some particular states.

Zhou, Tao; Cui, Jingxin [State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, 100084 Beijing (China); Long, Gui Lu [State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, 100084 Beijing (China); Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, 100084 Beijing (China)

2011-12-15T23:59:59.000Z

332

B-spline Contour Representation and Symmetry Detection  

Science Journals Connector (OSTI)

The detection of edges is only one of many steps in the understanding of images. Further processing necessarily involves grouping operations between contours. We present a representation of edge contours by approximating B-splines and show that such ... Keywords: B-spline contour representation, edge contours, edge detection, image recognition, parallel symmetries, planar shape description, shape from contour, skew symmetries, smooth local symmetries, splines (mathematics), symmetry detection

P. Saint-Marc; H. Rom; G. Medioni

1993-11-01T23:59:59.000Z

333

Origin of the Increased Activity of ?-Glucuronidase in the Soluble Fraction of Rat Mammary Tumors during Ovariectomy-induced Regression  

Science Journals Connector (OSTI)

...in the activity of beta-glucuronidase midway regression was not paralleled by an increase...in the activity of beta-glucuronidase midway regression was not paralleled by an increase...increase in the activity of Y- glucuronidase midway regression was not paralleled by an increase...

Edvard P. Beem; Michel J. X. Hillebrand; Catherine Benckhuijsen; Bernard Overdijk

1987-08-01T23:59:59.000Z

334

Evaluation of syngas production unit cost of bio-gasification facility using regression analysis techniques  

SciTech Connect (OSTI)

Evaluation of economic feasibility of a bio-gasification facility needs understanding of its unit cost under different production capacities. The objective of this study was to evaluate the unit cost of syngas production at capacities from 60 through 1800Nm 3/h using an economic model with three regression analysis techniques (simple regression, reciprocal regression, and log-log regression). The preliminary result of this study showed that reciprocal regression analysis technique had the best fit curve between per unit cost and production capacity, with sum of error squares (SES) lower than 0.001 and coefficient of determination of (R 2) 0.996. The regression analysis techniques determined the minimum unit cost of syngas production for micro-scale bio-gasification facilities of $0.052/Nm 3, under the capacity of 2,880 Nm 3/h. The results of this study suggest that to reduce cost, facilities should run at a high production capacity. In addition, the contribution of this technique could be the new categorical criterion to evaluate micro-scale bio-gasification facility from the perspective of economic analysis.

Deng, Yangyang; Parajuli, Prem B.

2011-08-10T23:59:59.000Z

335

A consistent framework for Horton regression statistics that leads to a modified Hack's law  

Science Journals Connector (OSTI)

A statistical framework is introduced that resolves important problems with the interpretation and use of traditional Horton regression statistics. The framework is based on a univariate regression model that leads to an alternative expression for Horton ratio, connects Horton regression statistics to distributional simple scaling, and improves the accuracy in estimating Horton plot parameters. The model is used to examine data for drainage area A and mainstream length L from two groups of basins located in different physiographic settings. Results show that confidence intervals for the Horton plot regression statistics are quite wide. Nonetheless, an analysis of covariance shows that regression intercepts, but not regression slopes, can be used to distinguish between basin groups. The univariate model is generalized to include n>1 dependent variables. For the case where the dependent variables represent ln A and ln L, the generalized model performs somewhat better at distinguishing between basin groups than two separate univariate models. The generalized model leads to a modification of Hack's law where L depends on both A and Strahler order ?. Data show that ? plays a statistically significant role in the modified Hack's law expression.

Peter R. Furey; Brent M. Troutman

2008-01-01T23:59:59.000Z

336

Effect of main process parameters on extraction of pine kernel lipid using supercritical green solvents: Solubility models and lipid profiles  

Science Journals Connector (OSTI)

Supercritical fluid extraction of pine kernel lipids from Pinus pinea L. using green solvents (only CO2 or mixed with ethanol) was performed in a laboratory scale extraction system. For the first time in this study the effect of main operating parameters [i.e. pressure (2050MPa), temperature (4060C), CO2 flow rate (0.0610.259kgh?1), entrainer concentration (2.5 and 5vol.%) and average particle size (362.5 and 725?m)] on extraction yield, initial extraction rate and the solved contents of pine kernel lipid in CO2 or its solubility was investigated systematically. Experimental results showed that extraction yields (from 0.477 to 0.488g PKLg?1 dry PK) obtained from supercritical CO2 extraction over 30MPa of operating pressure was better than extraction yield (0.472g PKLg?1 dry PK) obtained from organic solvent extraction. It should be noted that the extraction yield obtained using 5vol.% of ethanol reached to 0.487g PKLg?1 dry PK in 90min under a suitable operating condition such as 30MPa, 40C and 0.194kgh?1 of green solvent flow rate. The crossover effect of pine kernel lipid was determined approximately at 23MPa of operating pressure. The experimental solubility data, determined by the dynamic method, of pine kernel oil in supercritical CO2 were correlated by some empirical models such as Chrastil, del ValleAguilera, AdachiLu, and Sparks models. AdachiLu and Sparks models made a lower error in the prediction of solubility. Lipids extracted by supercritical green solvents extraction contain more unsaturated fatty acids than those extracted by Soxhlet with in the n-hexane extracts.

U?ur Salg?n; Sema Salg?n

2013-01-01T23:59:59.000Z

337

Proteolytic enzyme activities in abscisic acid insensitive (vp), abscisic acid deficient (vp5) and normal maize kernels during tissue development  

E-Print Network [OSTI]

and CP enzymes are the most common, and these may be responsible for storage protein degradation. Early research involving proteolytic enzyme activity suggested that EP was present at all stages of development in all tissues of inbred maize. However... protein which is soluble in water and occurs widely in plants and animal tissues. Globulin is a protein fraction which is soluble in dilute salt and occurs in plant and animal tissues. Zein is a storage protein fraction in corn kernels which...

Tjhen, Kien Hoa

2012-06-07T23:59:59.000Z

338

Calculation and Verification of a Planar Pencil Beam Kernel Through the Hankel Transform of Measured OARs for a Radiosurgery System with Cones  

SciTech Connect (OSTI)

A planar multienergetic pencil beam kernel with rotational symmetry is calculated for a stereotactic radiosurgery system, SRS, BrainLAB with cones, employing the deconvolution method of the off axis ratio profile, OAR, corresponding to the cone of 35 mm in diameter for a 6 MV photon beam produced by a linear accelerator Varian 2100 C/D. Before the deconvolution, the experimental OAR is corrected for beam divergence and variations of the spectral fluence {Phi}, using a boundary function BF. The function BF and the fluence {Phi} are transformed to the conjugate space with the zero order Hankel function, which is the appropriate transform due to the radial symmetry of the circular beams generated by the cones. The kernel in the conjugate space is obtained as the ratio of the transform of BF to the transform of {Phi}, therefore the kernel in the real space is calculated as the inverse transform of the kernel in the conjugate space. To validate the kernel in the real space, it is convolved with the fluence of the cones of 7.5, 12.5, 15, 17.5, 20, 22.5, 25, 30 and 35 mm in diameter. The comparison of the OARs calculated and measured shows a maximum difference of 4.5% in the zones of high gradient of dose, and a difference less than 2% in the regions of low gradient of dose. Finally, the expanded uncertainty of the kernel is estimated and reported.

Vargas Verdesoto, Milton X. [Centro Oncologico de Chihuahua, Hacienda de la Esperanza 6304, Chihuahua, Chihuahua (Mexico); Alvarez Romero, Jose T. [SSDL, Departamento de Metrologia de Radiaciones Ionizantes, Instituto Nacional de Investigaciones Nucleares, La Marquesa, Ocoyoacac, Estado de Mexico 52750 (Mexico)

2010-12-07T23:59:59.000Z

339

Lightweight embedded software performance analysis method by kernel hack and its industrial field study  

Science Journals Connector (OSTI)

Despite advances in software testing technologies, there are still limitations in directly applying them to embedded software. Since the operational environment of embedded software has severe resource constraints, it is necessary to develop a lightweight testing method that has little impact on the operational environment of embedded software. We propose an agent-based performance analysis method to hack kernel performance counters that manage the system's execution information. The proposed method enables us to collect data required for analyzing performance bottlenecks and identify the causes and locations of bottlenecks with little impact on the test target system's operational environment. We introduce a test automation tool called Analytic Master of System v2.0 that we developed by employing our proposed method. Presently, Analytic Master of System v2.0 is being utilized as a standard tool for performance testing of embedded systems in the automotive industry. In addition, we suggest a guideline for performance analysis and improvement by introducing an industrial field study among our best practices, which analyze the relationship between the memory fault processing of the operating system and the application processing speed.

Jooyoung Seo; Byoungju Choi; Sueng-wan Yang

2012-01-01T23:59:59.000Z

340

Optical Spectral Observations of a Flickering White-Light Kernel in a C1 Solar Flare  

E-Print Network [OSTI]

We analyze optical spectra of a two-ribbon, long duration C1.1 flare that occurred on 18 Aug 2011 within AR 11271 (SOL2011-08-18T15:15). The impulsive phase of the flare was observed with a comprehensive set of space-borne and ground-based instruments, which provide a range of unique diagnostics of the lower flaring atmosphere. Here we report the detection of enhanced continuum emission, observed in low-resolution spectra from 3600 \\AA\\ to 4550 \\AA\\ acquired with the Horizontal Spectrograph at the Dunn Solar Telescope. A small, $\\le$0''.5 ($10^{15}$ cm$^2$) penumbral/umbral kernel brightens repeatedly in the optical continuum and chromospheric emission lines, similar to the temporal characteristics of the hard X-ray variation as detected by the Gamma-ray Burst Monitor (GBM) on the Fermi spacecraft. Radiative-hydrodynamic flare models that employ a nonthermal electron beam energy flux high enough to produce the optical contrast in our flare spectra would predict a large Balmer jump in emission, indicative of h...

Kowalski, Adam F; Fletcher, Lyndsay

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Feature selection for transient stability assessment based on kernelized fuzzy rough sets and memetic algorithm  

Science Journals Connector (OSTI)

Abstract A new feature selection method based on kernelized fuzzy rough sets (KFRS) and the memetic algorithm (MA) is proposed for transient stability assessment of power systems. Considering the possible real-time information provided by wide-area measurement systems, a group of system-level classification features are extracted from the power system operation parameters to build the original feature set. By defining a KFRS-based generalized classification function as the separability criterion, the memetic algorithm based on binary differential evolution (BDE) and Tabu search (TS) is employed to obtain the optimal feature subsets with the maximized classification capability. The proposed method may avoid the information loss caused by the feature discretization process of the rough-set based attribute selection, and comprehensively utilize the advantages of BDE and TS to improve the solution quality and search efficiency. The effectiveness of the proposed method is validated by the application results on the New England 39-bus power system and the southern power system of Hebei province.

Xueping Gu; Yang Li; Jinghua Jia

2015-01-01T23:59:59.000Z

342

Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit  

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

Leakage of US Homes: Regression Analysis and Improvements from Retrofit Leakage of US Homes: Regression Analysis and Improvements from Retrofit Title Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit Publication Type Report LBNL Report Number LBNL-5966E Year of Publication 2012 Authors Chan, Wanyu R., Jeffrey Joh, and Max H. Sherman Date Published 08/2012 Keywords air infiltration, blower door, fan pressurization measurements, retrofit, weatherization Abstract LBNL Residential Diagnostics Database (ResDB) contains blower door measurements and other diagnostic test results of homes in United States. Of these, approximately 134,000 single-family detached homes have sufficient information for the analysis of air leakage in relation to a number of housing characteristics. We performed regression analysis to consider the correlation between normalized leakage and a number of explanatory variables: IECC climate zone, floor area, height, year built, foundation type, duct location, and other characteristics. The regression model explains 68% of the observed variability in normalized leakage. ResDB also contains the before and after retrofit air leakage measurements of approximately 23,000 homes that participated in weatherization assistant programs (WAPs) or residential energy efficiency programs. The two types of programs achieve rather similar reductions in normalized leakage: 30% for WAPs and 20% for other energy programs.

343

A Graphic Representation of States for Quantum Copying Machines  

E-Print Network [OSTI]

The aim of this paper is to introduce a new graphic representation of quantum states by means of a specific application: the analysis of two models of quantum copying machines. The graphic representation by diagrams of states offers a clear and detailed visualization of quantum information's flow during the unitary evolution of not too complex systems. The diagrams of states are exponentially more complex in respect to the standard representation and this clearly illustrates the discrepancy of computational power between quantum and classical systems. After a brief introductive exposure of the general theory, we present a constructive procedure to illustrate the new representation by means of concrete examples. Elementary diagrams of states for single-qubit and two-qubit systems and a simple scheme to represent entangled states are presented. Quantum copying machines as imperfect cloners of quantum states are introduced and the quantum copying machines of Griffiths and Niu and of Buzek and Hillery are analyzed, determining quantum circuits of easier interpretation. The method has indeed shown itself to be extremely successful for the representation of the involved quantum operations and it has allowed to point out the characteristic aspects of the quantum computations examined.

Sara Felloni; Giuliano Strini

2006-09-29T23:59:59.000Z

344

Coal Price Index Forecast by a New Partial Least-Squares Regression  

Science Journals Connector (OSTI)

Deviation of coal price has great influence on growth of China's economic. Daily coal price indexes in Qinhuangdao were collected. Past twenty days were used to predict next day index. The principal components of twenty days were extracted. The function between output variable and components was fitted by linear, quadratic and exponential model. This improved traditional partial least-squares regression. Traditional method such as multivariate linear regression and polynomial regression were coming into comparing with our method. Improved quadratic partial least-squares obtained the smallest relative errors in mean and variance for ten reserved indexes. Those ten errors had minimum 0.3%, median 3.3% and maximum 9.7%. The ideal forecast precision certified that quadratic partial least-squares was suitable for coal price indexes.

Bo Zhang; Junhai Ma

2011-01-01T23:59:59.000Z

345

Multiple regression analysis for the estimation of energy content of municipal solid waste  

Science Journals Connector (OSTI)

A regression equation is proposed to predict the Higher Heating Value (HHV) of Municipal Solid Waste (MSW) from the waste data of 86 cities of 35 countries. A mathematical model is developed, by using Statistical Package for Social Sciences (SPSS-10.0), to correlate the energy content of waste with the variables derived from its physical composition. Performance of the proposed multiple regression model is superior to available models. For validation, the proposed model is applied to the waste data of Jaipur City (India), nine cities of EEC countries and also to the MSW of USA. Energy content values obtained by proposed regression model and Modified Dulong's Equation (MDE) are closer to the measured mean energy content values for EEC countries compared to the values obtained by Khan's method. Objective of the paper is to propose a simple model, which can replace the lengthy MDE and which has universal applicability for the predication of HHVs.

G.D. Agrawal; A.P.S. Rathore; A.B. Gupta

2007-01-01T23:59:59.000Z

346

Cayley tables and representations of the groups of order 64  

E-Print Network [OSTI]

mappings. Definition 4. 5. A representation D is said to be reducible if its representation space U contains a proper invariant subspace U' such that xeU, D(g)xcU' for each gcG. Definition 4. 6. A representation D is irreducible if it is not reducible...&?724232221 212Z23241718I920 2221. 2423181720k9 1?itt0 9161514X3 11X2 910151613X4 34127&56 4 3 2 1 8 7 6 5 56781234 65872143 7 8 5 6 3 4 I 2 87654321 91011k?1314I516 10 9X2111413X615 1112 91015161314 121. 110 916151413 13141. 516 9101112 14X3161510 912...

Stambaugh, Donald Lee

2012-06-07T23:59:59.000Z

347

On the heat kernel and the Dirichlet form of Liouville Brownian Motion  

E-Print Network [OSTI]

In \\cite{GRV}, a Feller process called Liouville Brownian motion on $\\R^2$ has been introduced. It can be seen as a Brownian motion evolving in a random geometry given formally by the exponential of a (massive) Gaussian Free Field $e^{\\gamma X}$ and is the right diffusion process to consider regarding 2d-Liouville quantum gravity. In this note, we discuss the construction of the associated Dirichlet form, following essentially \\cite{fuku} and the techniques introduced in \\cite{GRV}. Then we carry out the analysis of the Liouville resolvent. In particular, we prove that it is strong Feller, thus obtaining the existence of the Liouville heat kernel via a non-trivial theorem of Fukushima and al. One of the motivations which led to introduce the Liouville Brownian motion in \\cite{GRV} was to investigate the puzzling Liouville metric through the eyes of this new stochastic process. One possible approach was to use the theory developed for example in \\cite{stollmann,sturm1,sturm2}, whose aim is to capture the "geometry" of the underlying space out of the Dirichlet form of a process living on that space. More precisely, under some mild hypothesis on the regularity of the Dirichlet form, they provide an intrinsic metric which is interpreted as an extension of Riemannian geometry applicable to non differential structures. We prove that the needed mild hypotheses are satisfied but that the associated intrinsic metric unfortunately vanishes, thus showing that renormalization theory remains out of reach of the metric aspect of Dirichlet forms.

Christophe Garban; Rmi Rhodes; Vincent Vargas

2014-10-16T23:59:59.000Z

348

An application of ratio and regression estimation to a forest land ownership project  

E-Print Network [OSTI]

AN APPLICATION OF RATIO AND REGRESSION ESTIMATION TO A FOREST LAND OWNERSHIP PROJECT A Thesis By DAVID LYNN MINALDI Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE May 1967 Major Subject: Statistics AN APPLICATION OF RATIO AND REGRESSION ESTIMATION TO A FOREST LAND OWNERSHIP PROJECT A Thesis By DAVID I YNN MINALDI Approve as t~~ye and content by: ( (Chai(man f - mmittee) (Member) (Head...

Minaldi, David Lynn

1967-01-01T23:59:59.000Z

349

Prediction of demand trends of coking coal in China based on grey linear regression composition model  

Science Journals Connector (OSTI)

The scarce of coking coal resources in China results in its short supply. By establishing a grey linear regression composition model, this paper has greatly improved the inadequacy of grey system prediction model and regression analysis method in trend prediction and finished the prediction of demand trends of coking coal in China with this model. As result of the prediction, it is estimated that in the next decade, the demand for coking coal in China will experience a growth trend; China's demand for coking coal will reach more than 1.535 billion tons by 2015, reach the maximum of 1.639 billion tons by 2020 and drop in 2025.

Hai-Dong Zhou; Qiang Wu; Min Fang; Zhong-Bao Ren; Li-Fei Jin

2013-01-01T23:59:59.000Z

350

Calibrating Bayesian Network Representations of Social-Behavioral Models  

SciTech Connect (OSTI)

While human behavior has long been studied, recent and ongoing advances in computational modeling present opportunities for recasting research outcomes in human behavior. In this paper we describe how Bayesian networks can represent outcomes of human behavior research. We demonstrate a Bayesian network that represents political radicalization research and show a corresponding visual representation of aspects of this research outcome. Since Bayesian networks can be quantitatively compared with external observations, the representation can also be used for empirical assessments of the research which the network summarizes. For a political radicalization model based on published research, we show this empirical comparison with data taken from the Minorities at Risk Organizational Behaviors database.

Whitney, Paul D.; Walsh, Stephen J.

2010-04-08T23:59:59.000Z

351

Coherent states and holomorphic representations for multilevel atoms  

Science Journals Connector (OSTI)

The notion of atomic coherent states is extended to the multilevel case. Since the representation based on coherent states is convenient in treating collective interactions of atoms with photons, and since many optical processes involve atoms of three or more levels, it is expected that this extension will play a role in the theory of such processes as cascade superfluorescence and superradiant lasing. Like their bosonic counterparts, atomic coherent states may be used to define a holomorphic representation for atomic states and operators. We discuss this in detail and give examples to illustrate applications.

Cao Chang-qi and Fritz Haake

1995-05-01T23:59:59.000Z

352

Noise Kernel and Stress Energy Bi-Tensor of Quantum Fields in Hot Flat Space and Gaussian Approximation in the Optical Schwarzschild Metric  

E-Print Network [OSTI]

Continuing our investigation of the regularization of the noise kernel in curved spacetimes [N. G. Phillips and B. L. Hu, Phys. Rev. D {\\bf 63}, 104001 (2001)] we adopt the modified point separation scheme for the class of optical spacetimes using the Gaussian approximation for the Green functions a la Bekenstein-Parker-Page. In the first example we derive the regularized noise kernel for a thermal field in flat space. It is useful for black hole nucleation considerations. In the second example of an optical Schwarzschild spacetime we obtain a finite expression for the noise kernel at the horizon and recover the hot flat space result at infinity. Knowledge of the noise kernel is essential for studying issues related to black hole horizon fluctuations and Hawking radiation backreaction. We show that the Gaussian approximated Green function which works surprisingly well for the stress tensor at the Schwarzschild horizon produces significant error in the noise kernel there. We identify the failure as occurring at the fourth covariant derivative order.

Nicholas G Phillips; B. L. Hu

2002-09-17T23:59:59.000Z

353

Determination and verification of a 2D pencil-beam kernel for a radiosurgery system with cones  

SciTech Connect (OSTI)

The quality and correctness of dosimetric data of small fields in stereotactic radiosurgery (SRS) depends significantly on the election of the detector employed in the measurements. This work provides an independent method of verification of these data through the determination of a polyenergetic 2-dimensional pencil-beam kernel for a BrainLAB SRS system with cones, employing the deconvolution/convolution of a reference experimental off-axis ratio (OAR) profile (cone diameter c{sub 0} = 35 mm). The kernel in real space k{sub c{sub 0}}(r,z{sub 0}) is convolved with the ideal fluence ? for the cones 7.5 to 35 mm in diameter to obtain the OAR profiles, and the total scatter factors, S{sub t}, which are compared with experimental values of the same quantities. The experimental OARs and S{sub t} factors are measured in water with a PTW 60003 diamond detector. Additionally, the reference OAR is corrected for beam divergence and spectral fluence fluctuations defining a function of boundary correction factors (BF). The BF and ? functions are transformed to the conjugate space with the zeroth-order Hankel transform, appropriated to the radial symmetry of the cones. Therefore, the kernel in real space k{sub c{sub 0}}(r,z{sub 0}) is the inverse Hankel transform of the ratio of the Hankel transforms of BF and ?. Finally, an uncertainty analysis according to the Guide to the Expression of Uncertainty in Measurement is carried out for 3 different values of k{sub c{sub 0}}(r,z{sub 0}). Calculated and measured OARs agree within the dose/distance-to-agreement criteria of 2%/0.12 mm; while, S{sub t} factors agree within 2%. This procedure supplies an independent method to validate the dosimetric data necessary to feed treatment planning systems for SRS with cones.

Vargas-Verdesoto, Milton Xavier, E-mail: mxvv2003@hotmail.com [Centro Oncolgico de Chihuahua, Hacienda de la Esperanza, Chihuahua, Mxico (Mexico); Universidad Autnoma del Estado de Mxico, Paseo Tollocan, Toluca, Edo. De Mxico, Mxico (Mexico); lvarez-Romero, Jos Trinidad [SSDL, Instituto Nacional de Invesigaciones Nucleares, La Marquesa, Ocoyoacac, Mxico (Mexico)

2013-07-01T23:59:59.000Z

354

Collaborative regression  

Science Journals Connector (OSTI)

......that some data is not accessible until after the fact; autopsy results may be very helpful in identifying different types of brain tumors, but it is hard to use that information to help current patients. CoRe seems like it provides a natural way in which......

Samuel M. Gross; Robert Tibshirani

2014-11-01T23:59:59.000Z

355

936 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 4, NOVEMBER 2001 Discussion on "A Kernel-Oriented Algorithm for  

E-Print Network [OSTI]

f1; 3; 5; 6g with a value of 061? The values of some coalitions should be (as indicated in table 2): f1; 4; 6g; 030 and not 060, f2; 4; 6g; 0120 and not 0150, f1; 4; 5; 6g; 0182 and not 0243, f2; 3; 4, according to the authors the Kernel corresponds to [1; f2 0 6g; 3; 4; 5] 0 [f1; 2; 6g; 3; 4; 5] 0 [f1; 2; 4

Catholic University of Chile (Universidad Católica de Chile)

356

A simple approach to lifetime learning in genetic programming-based symbolic regression  

Science Journals Connector (OSTI)

Genetic programming GP coarsely models natural evolution to evolve computer programs. Unlike in nature, where individuals can often improve their fitness through lifetime experience, the fitness of GP individuals generally does not change during their ... Keywords: Genetic programming, hybrid genetic algorithms, lifetime learning, local search, memetic algorithms, symbolic regression

Raja Muhammad Atif Azad; Conor Ryan

2014-06-01T23:59:59.000Z

357

A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator  

E-Print Network [OSTI]

A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic database containing sample data is used for simulation purposes. Keywords--Photovoltaic generator, SVR, k-NNR, reversed polarity fault, diagnosis, prognosis. NOMENCLATURE PV = Photovoltaic; SVM = Support Vector

Paris-Sud XI, Université de

358

Non-parametric regression and neural-network inll drilling recovery models for carbonate reservoirs  

E-Print Network [OSTI]

in®ll drilling recovery model is capable of forecasting the oil recovery with less error variance®ll drilling recovery eciency. The approach we take here is stat- istical. It is based on an oil recoveryNon-parametric regression and neural-network in®ll drilling recovery models for carbonate

Valkó, Peter

359

Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building  

E-Print Network [OSTI]

Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building C and Model Building Cong Liu, Tao Shi and Yoonkyung Lee Department of Statistics, The Ohio State University at two stages of statistical modeling, namely screening and formal model building, with different goals

Shi, Tao

360

A spatiotemporal auto-regressive moving average model for solar radiation  

E-Print Network [OSTI]

1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two yearsA spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D, is important in many hydrological, agricultural and energy contexts. To assess solar energy potential, data

Stone, J. V.

Note: This page contains sample records for the topic "kernel regression representation" 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

Teasing Out the Effect of Tutorials via Multiple Regression Stephanie V. Chasteen  

E-Print Network [OSTI]

Teasing Out the Effect of Tutorials via Multiple Regression Stephanie V. Chasteen Science Education instruction, did not achieve the same impacts. Keywords: physics education research, course reform, electricity and magnetism, assessment PACS: 01.30.Ib, 01.40.Di, 01.40.Fk, 01.40.G-, 01.40.gb INTRODUCTION

Colorado at Boulder, University of

362

Harnessing Web-based Application Similarities to Aid in Regression Testing Kinga Dobolyi and Westley Weimer  

E-Print Network [OSTI]

for reducing the number of false positives associated with regression testing such applications, simultaneously focusing on returning all true positives. Our approach predicts which test cases merit human inspection, security, and availability requirements [20], which translates into well-designed and well-tested software

Weimer, Westley

363

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net  

E-Print Network [OSTI]

, the Elastic Net can yield a sparse esti- mate with more than n non-zero weights (Efron et al., 2004). One canExploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net Alexander Lorbert- tion called the Pairwise Elastic Net is pro- posed. Like the Elastic Net, it simultane- ously performs

Blei, David M.

364

Linear Regression and Random Forests for Layer Identification in IC Layout Reverse-Engineering  

E-Print Network [OSTI]

050 051 052 053 Linear Regression and Random Forests for Layer Identification in IC Layout Reverse in the process; the bulk of the work consists of tracing from the die images the regions which form components, resistors, and capacitors. The common types of layers are the bulk (substrate, i.e. the base silicon

de Freitas, Nando

365

A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China  

E-Print Network [OSTI]

A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China t There is an increasing demand for improving spatial resolution of climate data. However, an increase in resolution does spatial data of monthly mean temperature and monthly precipitation at a national scale in mainland China

Pittendrigh, Barry

366

Testing for Climate Change: An Application of the Two-Phase Regression Model  

Science Journals Connector (OSTI)

A statistical test for detecting a change in the behavior of an annual temperature series is presented. The test is based on the two-phase regression model. By trading the hypothesized time of change as an unknown parameter, the approach allows ...

Andrew R. Solow

1987-10-01T23:59:59.000Z

367

Regression-based quantitative trait loci mapping: robust, efficient and effective  

Science Journals Connector (OSTI)

...model (section-union test)? Both Jansen (1993) and Zeng (1993) highlighted...regression. Genetics. 151, 885-894. Jansen, R.C 1993Interval mapping of multiple...140, 1111-1127. Johnson, D.L , Jansen, R.C, van Arendonk, J.A.M1999Mapping...

2005-01-01T23:59:59.000Z

368

Fast Object Detection By Regression in Robot Soccer Susana Brand~ao  

E-Print Network [OSTI]

Fast Object Detection By Regression in Robot Soccer Susana Brand~ao , Manuela Veloso, and Jo detection, where a given image is efficiently processed in real-time with the learned models. For each image since both task rely on images to provide ground truth for landmarks and objects localization. One

Veloso, Manuela M.

369

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models  

Science Journals Connector (OSTI)

A central issue in contemporary science is the development of nonlinear data driven statistical-dynamical models for time series of noisy partial observations from nature or a complex model. It has been established recently that ad-hoc quadratic multi-level ... Keywords: Ensemble Kalman filter, Multi-level models, Nonlinear regression models, Parameter estimation of stochastic differential equations

John Harlim; Adam Mahdi; Andrew J. Majda

2014-01-01T23:59:59.000Z

370

Fisheries Research 78 (2006) 309322 A Poisson and negative binomial regression model of sea turtle  

E-Print Network [OSTI]

Fisheries Research 78 (2006) 309­322 A Poisson and negative binomial regression model of sea turtle February 2005; received in revised form 28 November 2005; accepted 15 December 2005 Abstract Sea turtle measures, including a swordfish harvest ban, have been adopted to protect sea turtles. This study explores

Hawai'i at Manoa, University of

371

Improved explanation of human intelligence using cortical features with second order moments and regression  

Science Journals Connector (OSTI)

Background: Cortical features derived from magnetic resonance imaging (MRI) provide important information to account for human intelligence. Cortical thickness, surface area, sulcal depth, and mean curvature were considered to explain human intelligence. ... Keywords: Cortical features, Cortical thickness, Curvature, Human intelligence, Partial least squares regression, Second order moments, Sulcal depth, Surface area

Hyunjin Park, Jin-Ju Yang, Jongbum Seo, Yu-Yong Choi, Kun-Ho Lee, Jong-Min Lee

2014-04-01T23:59:59.000Z

372

Practical 3(a): Case Studies in Poisson Regression Practical 3(a): Case Studies in Poisson  

E-Print Network [OSTI]

randomised to 6 different schools #12;Practical 3(a): Case Studies in Poisson Regression Outline questions: Shaper et al. (1988, Lancet) describe a cohort study of a random sample of 7729 middle-aged British men-economic background Interventions: Control (3), Oral health education (1), Enrichment of the school diet with rice

Boehning, Dankmar

373

Multiple regression models: A methodology for evaluating trihalomethane concentrations in drinking water from  

E-Print Network [OSTI]

September 2001; accepted 28 January 2002 Abstract The presence of trihalomethanes (THMs) in drinking water in finished drinking water, using data from the Menidi Treatment Plant of Athens. A number of routinely Science Ltd. All rights reserved. Keywords: Multiple regression model; Trihalomethanes; Drinking water

Arhonditsis, George B.

374

Spatially Penalized Regression for Extremes Dependence Analysis and Prediction: Case of Precipitation Extremes  

E-Print Network [OSTI]

Spatially Penalized Regression for Extremes Dependence Analysis and Prediction: Case of Precipitation Extremes Debasish Das1,2 , Auroop R. Ganguly1 , Snigdhansu Chatterjee3 , Vipin Kumar4 , Zoran@cs.umn.edu, zoran.obradovic@temple.edu. ABSTRACT The inability to predict precipitation extremes under non

Obradovic, Zoran

375

GRAPH THEORY AND PFAFFIAN REPRESENTATIONS OF ISING PARTITION FUNCTION.  

E-Print Network [OSTI]

GRAPH THEORY AND PFAFFIAN REPRESENTATIONS OF ISING PARTITION FUNCTION. THIERRY GOBRON Abstract. A well known theorem due to Kasteleyn states that the partition function of an Ising model to the graph. This results both embodies the free fermionic nature of any planar Ising model and eventually

Recanati, Catherine

376

The Restricted Boussinesq Flows, Their Lax Representations and r  

Science Journals Connector (OSTI)

We present the Lax representations for the restricted Boussinesq flows resulted from the binary nonlinearization,of Lax systems of Boussinesq equation. Furthermore we show this Lax operator satisfies the r-matrix relation. Thus 3N involutive integrals for restricted Boussinesq flows are obtained.

Zhou RuGuang

2000-01-01T23:59:59.000Z

377

Banded Matrix Fraction Representation of Triangular Input Normal Pairs  

E-Print Network [OSTI]

, 15, 14]. In this approach, the #3; S.A.C. Capital Management, LLC, 540 Madison Ave, New York, NY state transition matrix and B is a n #2; d matrix with n #21; d. Let C be the p #2; n matrix whose kth develop a computationally convenient representation of the state transition matrices that arise from

378

Nucleon-nucleon potentials in phase-space representation  

E-Print Network [OSTI]

A phase-space representation of nuclear interactions, which depends on the distance $\\vec{r}$ and relative momentum $\\vec{p}$ of the nucleons, is presented. A method is developed that permits to extract the interaction $V(\\vec{r},\\vec{p})$ from antisymmetrized matrix elements given in a spherical basis with angular momentum quantum numbers, either in momentum or coordinate space representation. This representation visualizes in an intuitive way the non-local behavior introduced by cutoffs in momentum space or renormalization procedures that are used to adapt the interaction to low momentum many-body Hilbert spaces, as done in the unitary correlation operator method or with the similarity renormalization group. It allows to develop intuition about the various interactions and illustrates how the softened interactions reduce the short-range repulsion in favor of non-locality or momentum dependence while keeping the scattering phase shifts invariant. It also reveals that these effective interactions can have undesired complicated momentum dependencies at momenta around and above the Fermi momentum. Properties, similarities and differences of the phase-space representations of the Argonne and the N3LO chiral potential, and their UCOM and SRG derivatives are discussed.

H. Feldmeier; T. Neff; D. Weber

2014-07-16T23:59:59.000Z

379

Composite systems and their representation in quantum and  

E-Print Network [OSTI]

Composite systems and their representation in quantum and classical physics M.P. Seevinck Institute of measurements on subsystems of a composite system as predicted by a particular physical theory; secondly to the composite system they are a part of; and, thirdly, the comparison of different physical theories

Seevinck, Michiel

380

Towards general information theoretical representations of database problems  

SciTech Connect (OSTI)

General database systems are described from the General Systems Theoretical (GST) framework. In this context traditional information theoretical (statistical) and general information theoretical (fuzzy measure and set theoretical, possibilistic, and random set theoretical) representations are derived. A preliminary formal framework is introduced.

Joslyn, C.

1997-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Data Representation and CSC 1051 Data Structures and Algorithms I  

E-Print Network [OSTI]

by Lewis & Loftus CSC 1051 M.A. Papalaskari, Villanova University #12;Overview · Data representation Applets CSC 1051 M.A. Papalaskari, Villanova University #12;Reverse History of computing Examine what we on a single "traditional" computer 3.Dig deeper ­ data and processing Review CSC 1051 M.A. Papalaskari

Papalaskari, Mary-Angela

382

Cognitive Maps and Bayesian Networks for Knowledge Representation and Reasoning  

E-Print Network [OSTI]

Cognitive Maps and Bayesian Networks for Knowledge Representation and Reasoning Karima Sedki 1, France 2. Université européenne de Bretagne, France Email: louis.bonneau@agrocampus-ouest.fr Abstract--Cognitive individual's judgments, thinking or beliefs about a given problem. However, drawing inferences in cognitive

Paris-Sud XI, Université de

383

SEMANTICS OF LOGIC PROGRAMS AND REPRESENTATION OF SMYTH POWERDOMAIN  

E-Print Network [OSTI]

's hyperresolution rule. We establish an order­isomorphism between disjunctive states and compact, saturated sets spaces in which to present the denotational semantics of programming languages. The re­ cursive, self­point semantics for disjunctive logic programming. This concrete representation provides a link between

Zhang, Guo-Qiang

384

Flexible Knowledge Acquisition Through Explicit Representation of Knowledge Roles  

E-Print Network [OSTI]

Flexible Knowledge Acquisition Through Explicit Representation of Knowledge Roles Bill Swartout@isi.edu, gil@isi.edu Abstract A system that acquires knowledge from a user should be able to reflect upon the knowledge that it has--at each moment--and understand what kinds of new knowledge it needs to learn

Southern California, University of

385

BehaviorGrounded Representation of Tool Affordances Alexander Stoytchev  

E-Print Network [OSTI]

such as welding, cutting, and painting, but these operations are carefully scripted by a human programmer. RobotBehavior­Grounded Representation of Tool Affordances Alexander Stoytchev Mobile Robot Laboratory introduces a novel approach to rep­ resenting and learning tool affordances by a robot. The tool

386

Hybrid Reasoning and the Future of Iconic Representations  

E-Print Network [OSTI]

We give a brief overview of the main characteristics of diagrammatic reasoning, analyze a case of human reasoning in a mastermind game, and explain why hybrid representation systems (HRS) are particularly attractive and promising for Artificial General Intelligence and Computer Science in general.

Recanati, Catherine

2008-01-01T23:59:59.000Z

387

Sequential Document Representations and Simplicial Curves Guy Lebanon  

E-Print Network [OSTI]

Sequential Document Representations and Simplicial Curves Guy Lebanon Department of Statistics The popular bag of words assumption repre- sents a document as a histogram of word oc- currences. While to robustly model long rage sequential trends in the document. We discuss the rep- resentation and its

Lebanon, Guy

388

Evaluating the Reference and Representation of Domain Concepts in APIs  

E-Print Network [OSTI]

Evaluating the Reference and Representation of Domain Concepts in APIs Daniel Ratiu, Jan Jürjens ICPC 12 June 2008 #12;Domain specific APIs reflect the domain knowledge Programs World c b d API reflection of domain Developed program a Domain knowledge Real World #12;APIs' Quality through

Jurjens, Jan

389

Stochastic Representation of Fire Behavior in a Wildland Fire Protection  

E-Print Network [OSTI]

Stochastic Representation of Fire Behavior in a Wildland Fire Protection Planning Model on wildland fire used by the California Department of Forestry and Fire Protection. Fire rate of spread (ROS. S IMULATIONMODELSOFINITIALATTACKonwildland fireare important tools for wildland fire protection planning, and several new models have been

Fried, Jeremy S.

390

A representation theorem for stochastic processes with separable covariance functions,  

E-Print Network [OSTI]

), will often require five or ten dimensions--sometimes more. Covariance functions, being non-negative definite in section 2. Section 2 also presents the restrictions on the conditional and marginal correlation functions itself. Section 3 provides a complete answer to this question, giving a representation theorem

391

Flexible Neural Representations of Value in the Primate Brain  

E-Print Network [OSTI]

of the amygdala and OFC to these processes, but a detailed understanding of the physiological mechanisms underlying learning about value remains lacking. To gain insight into these processes, we have focused. We suggest that representations of value in the amygdala may change through multiple interrelated

Salzman, Daniel

392

Technical section: A potential-based generalized cylinder representation  

Science Journals Connector (OSTI)

Generalized cylinder (GC) is a class of parametric shapes that is very flexible and capable of modeling many different types of real-world objects, and have subsequently been the focus of considerable research in the vision community. Most of the related ... Keywords: 3D Shape representation, Generalized cylinder, Potential field

Jen-Hui Chuang; Narendra Ahuja; Chien-Chou Lin; Chi-Hao Tsai; Cheng-Hui Chen

2004-12-01T23:59:59.000Z

393

Rational representations and controller synthesis of L2 behaviors  

Science Journals Connector (OSTI)

This paper considers linear dynamical systems restricted to square integrable trajectories. Following the behavioral formalism, a number of relevant classes of linear and shift-invariant L"2 systems are defined. It is shown that rational functions, analytic ... Keywords: Behavioral systems, Controller synthesis, Elimination, L2 systems, Representation theory

Mark Mutsaers; Siep Weiland

2012-01-01T23:59:59.000Z

394

Activity recognition in smart homes: from specification to representation  

Science Journals Connector (OSTI)

In Ambient Intelligence (AmI) scenarios, such as smart homes and similar assistive environments, system designers, medical personnel and - in general - non technically skilled people need to specify what to monitor with respect to occurrences of events ... Keywords: Context-aware systems, activity recognition, knowledge representation, ontologies

F. Mastrogiovanni; A. Sgorbissa; R. Zaccaria

2010-04-01T23:59:59.000Z

395

Representations of finite groups The Alperin-McKay refinement  

E-Print Network [OSTI]

Representations of finite groups The Alperin-McKay refinement The Isaacs-Navarro refinements The Mc-McKay refinement The Isaacs-Navarro refinements The basics Some history The McKay conjecture (for now) Let G groups The Alperin-McKay refinement The Isaacs-Navarro refinements The basics Some history The Mc

Cossey, James P.

396

Niigata (Japan), July 18-20, 2007 Pierre Laforcade 1 Graphical representation of abstractGraphical representation of abstract  

E-Print Network [OSTI]

Niigata (Japan), July 18-20, 2007 Pierre Laforcade 1 Graphical representation of abstract (Japan), July 18-20, 2007 Pierre Laforcade 2 Outline 1. Research context 2. Experimentation: the UML4LD proposition 3. Summary and ongoing work #12;Niigata (Japan), July 18-20, 2007 Pierre Laforcade 3 Research

Laforcade, Pierre

397

A Constraint Handling Strategy for Bit-Array Representation GA in Structural Topology Optimization  

E-Print Network [OSTI]

In this study, an improved bit-array representation method for structural topology optimization using the Genetic Algorithm (GA) is proposed. The issue of representation degeneracy is fully addressed and the importance of ...

Wang, Shengyin

398

Staggered poses: a character motion representation for detail-preserving editing of pose and coordinated timing  

Science Journals Connector (OSTI)

We introduce staggered poses---a representation of character motion that explicitly encodes coordinated timing among movement features in different parts of a character's body. This representation allows us to provide sparse, pose--based controls for ...

Patrick Coleman; Jacobo Bibliowicz; Karan Singh; Michael Gleicher

2008-07-01T23:59:59.000Z

399

Geometric representation of neuroanatomical data observed in mouse brain at cellular and gross levels  

E-Print Network [OSTI]

This dissertation studies two problems related to geometric representation of neuroanatomical data: (i) spatial representation and organization of individual neurons, and (ii) reconstruction of three-dimensional neuroanatomical regions from sparse...

Koh, Wonryull

2009-05-15T23:59:59.000Z

400

Minority Group Interests and Political Representation: Gay Elected Officials in the Policy Process  

E-Print Network [OSTI]

Of key importance to groups in a democracy is the political representation of their interests in the policy process. The most obvious strategy of groups to achieve representation is to elect officials that identify with ...

Haider-Markel, Donald P.; Joslyn, Mark R.; Kniss, Chad J.

2000-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Mould incidence and mycotoxin contamination in maize kernels from Swat Valley, North West Frontier Province of Pakistan  

Science Journals Connector (OSTI)

Mould incidence and aflatoxin B1 (AFB1) and ochratoxin A (OTA) contamination as well as proximate composition and minerals content of maize kernels from Swat Valley, North West Frontier Province of Pakistan was studied during the year, 2007. Results indicated that the mean moisture content of the kernels was within the recommended safe storage levels of ?15%. Across the whole valley, Aspergillus, Fusarium, Penicillium and Rhizopus were the most predominant fungal genera identified and amongst the mycotoxigenic species, Aspergillus flavus had the highest incidence. AFB1 content ranged from none to 30.92?g/kg with the average values of 14.94 and 16.22?g/kg for Upper and Lower Swat regions, respectively. Similar trend was observed for OTA with the contamination level ranged from Valley may be exposed to the danger of aflatoxins and ochratoxins poisoning. Thus, there is a need for policy makers to establish and enforce maize quality standards and regulations related to moulds and mycotoxins across the area.

Hamid Ullah Shah; Thomas J. Simpson; Sahib Alam; Khanzadi Fatima Khattak; Sajida Perveen

2010-01-01T23:59:59.000Z

402

A word in the hand: action, gesture and mental representation in humans and non-human primates  

Science Journals Connector (OSTI)

...gestural communication. In The Oxford handbook of comparative evolutionary psychology...representational gestures; the monkey mirror system does not respond to representational gestures, while the human system does. In humans, gesture grounds mental representation...

2012-01-01T23:59:59.000Z

403

The effect of alternative tree representations on tree bank Mark Johnson*  

E-Print Network [OSTI]

Johnson (1998) The effect of alternative tree representations on tree bank grammars. In D.M.W. Powers (ed

404

Representing "too small to see" as "too small to see" with temporal representation  

Science Journals Connector (OSTI)

Teaching and learning the vast range of the sizes of the objects that are too small to see with human eyes (called imperceptible objects) has been a challenging issue in education. Because representation is the only medium that learners can use to make ... Keywords: educational technology, learning technology, multimedia, multimodal representation, temporal representation

Minyoung Song; Chris Quintana

2012-05-01T23:59:59.000Z

405

Journal of Software Testing, Verification, and Reliability, V. 10, no. 2, June 2000. Regression Test Selection for C++ Software  

E-Print Network [OSTI]

Journal of Software Testing, Verification, and Reliability, V. 10, no. 2, June 2000. Regression Test Selection for C++ Software Gregg Rothermel Dept. of Computer Science Oregon State University University Corvallis, OR 97331 dedhia@cs.orst.edu Abstract Regression testing is an important but expensive

Rothermel, Gregg

406

Analysis and Representation of Miscellaneous Electric Loads in NEMS -  

Gasoline and Diesel Fuel Update (EIA)

Analysis and Representation of Miscellaneous Electric Loads in NEMS Analysis and Representation of Miscellaneous Electric Loads in NEMS Release date: January 6, 2014 Miscellaneous Electric Loads (MELs) comprise a growing portion of delivered energy consumption in residential and commercial buildings. Recently, the growth of MELs has offset some of the efficiency gains made through technology improvements and standards in major end uses such as space conditioning, lighting, and water heating. Miscellaneous end uses, including televisions, personal computers, security systems, data center servers, and many other devices, have continued to penetrate into building-related market segments. Part of this proliferation of devices and equipment can be attributed to increased service demand for entertainment, computing, and convenience appliances.

407

EMP (electromagnetic pulse) representational tools for personal workstations  

SciTech Connect (OSTI)

The ability to rapidly provide a visual representation of a problem set, its accompanying environment, and the variables that directly impact the analysis is of enormous value to the weapons analyst. Parametric, first-principle tools are directly and immediately usable by the analyst to represent the systems under investigation and the effects on those systems by the weapons under analysis. The three tools described, GEOREP, 3-AXIS, and G RANGE, provide these visual, analytic tools directly to the analyst on personal computer workstations. The simplicity and rapidity with which these tools may be used are especially beneficial to weapons analysts dealing with complex phenomena such as EMP. The potential flexibility of these representational tools is shown through examples of notional weapons applications. Use of GEOREP, 3-AXIS, and G RANGE, which augment, rather than supplant, complex weapons effects physics codes, can help provide the necessary, cost-effective guidance for making decisions on detailed case studies.

Riley, A.; Shafer, D.

1987-01-01T23:59:59.000Z

408

IE 361 Module 7 Calibration Studies and Inference Based on Simple Linear Regression  

E-Print Network [OSTI]

¯x)2 (x ¯x)2 where the least squares line is ^y = b0 + b1x and sLF is an estimate of derived from regression output, sLF = p MSE = "root mean square error" is a kind of estimated repeatability standard" using = n 2 degrees of freedom and limits sLF s n 2 2 upper and sLF s n 2 2 lower The least squares

Vardeman, Stephen B.

409

Inexact visualization: qualitative shape representation for recognizable reconstruction  

E-Print Network [OSTI]

to which humans are able to recognize two-dimensional shapes reconstructed from a representation in our sys- tern. We also present some statistical data on some randomly generated contours and our reconstructed versions of those contours. Finally, we... with local shape features along a contour traversal. A well known example of this technique is the Freeman chain coding scheme [27]. In this method, shape is described in terms of vectors defined by a, grid plane. The vectors, when considered in order...

King, Joseph Scott

2012-06-07T23:59:59.000Z

410

Integrable probability: From representation theory to Macdonald processes  

E-Print Network [OSTI]

These are lecture notes for a mini-course given at the Cornell Probability Summer School in July 2013. Topics include lozenge tilings of polygons and their representation theoretic interpretation, the (q,t)-deformation of those leading to the Macdonald processes, nearest neighbor dynamics on Macdonald processes, their limit to semi-discrete Brownian polymers, and large time asymptotic analysis of polymer's partition function.

Alexei Borodin; Leonid Petrov

2014-06-20T23:59:59.000Z

411

Hydrogen atom in phase space: The Wigner representation  

E-Print Network [OSTI]

We have found an effective method of calculating the Wigner function, being a quantum analogue of joint probability distribution of position and momentum, for bound states of nonrelativistic hydrogen atom. The formal similarity between the eigenfunctions of nonrelativistic hydrogen atom in the momentum representation and Klein-Gordon propagators has allowed the calculation of the Wigner function for an arbitrary bound state of the hydrogen atom. These Wigner functions for some low lying states are depicted and discussed.

L. Praxmeyer; J. Mostowski; K. Wodkiewicz

2005-04-06T23:59:59.000Z

412

Assessing the human cardiovascular response to moderate exercise: feature extraction by support vector regression  

Science Journals Connector (OSTI)

This study aims to quantitatively describe the steady-state relationships among percentage changes in key central cardiovascular variables (i.e. stroke volume, heart rate (HR), total peripheral resistance and cardiac output), measured using non-invasive means, in response to moderate exercise, and the oxygen uptake rate, using a new nonlinear regression approachsupport vector regression. Ten untrained normal males exercised in an upright position on an electronically braked cycle ergometer with constant workloads ranging from 25 W to 125 W. Throughout the experiment, was determined breath by breath and the HR was monitored beat by beat. During the last minute of each exercise session, the cardiac output was measured beat by beat using a novel non-invasive ultrasound-based device and blood pressure was measured using a tonometric measurement device. Based on the analysis of experimental data, nonlinear steady-state relationships between key central cardiovascular variables and were qualitatively observed except for the HR which increased linearly as a function of increasing . Quantitative descriptions of these complex nonlinear behaviour were provided by nonparametric models which were obtained by using support vector regression.

Lu Wang; Steven W Su; Branko G Celler; Gregory S H Chan; Teddy M Cheng; Andrey V Savkin

2009-01-01T23:59:59.000Z

413

Adiabatic-connection fluctuation-dissipation DFT for the structural properties of solids-the renormalized ALDA and electron gas kernels  

E-Print Network [OSTI]

We present calculations of the correlation energies of crystalline solids and isolated systems within the adiabatic-connection fluctuation-dissipation formulation of density-functional theory. We perform a quantitative comparison of a set of model exchange-correlation kernels originally derived for the homogeneous electron gas (HEG), including the recently-introduced renormalized adiabatic local-density approximation (rALDA) and also kernels which (a) satisfy known exact limits of the HEG, (b) carry a frequency dependence or (c) display a 1/$k^2$ divergence for small wavevectors. After generalizing the kernels to inhomogeneous systems through a reciprocal-space averaging procedure, we calculate the lattice constants and bulk moduli of a test set of 10 solids consisting of tetrahedrally-bonded semiconductors (C, Si, SiC), ionic compounds (MgO, LiCl, LiF) and metals (Al, Na, Cu, Pd). We also consider the atomization energy of the H$_2$ molecule. We compare the results calculated with different kernels to those ...

Patrick, Christopher E

2015-01-01T23:59:59.000Z

414

Kernel density in the use of the strong stability method to evaluate the proximity of G/M/1 and M/M/1 systems  

Science Journals Connector (OSTI)

Bouallouche [3] has applied the strong stability method to study the proximity of the G/M/1 and M/M/1 systems when the general distribution of arrivals G is assumed to be hyper-exponantial. In this paper, we show the applicability of the strong stability ... Keywords: approximation, bandwidth, boundary effects, kernel density, queueing systems, strnog stability

Acha Bareche; Djamil Assani

2007-10-01T23:59:59.000Z

415

The thermal heat kernel expansion and the one-loop effective action of QCD at finite temperature  

E-Print Network [OSTI]

The heat kernel expansion for field theory at finite temperature is constructed. It is based on the imaginary time formalism and applies to generic Klein-Gordon operators in flat space-time. Full gauge invariance is manifest at each order of the expansion and the Polyakov loop plays an important role at any temperature. The expansion is explicitly worked out up to operators of dimension six included. The method is then applied to compute the one loop effective action of QCD at finite temperature with massless quarks. The calculation is carried out within the background field method in the $\\bar{\\text{MS}}$ scheme up to dimension six operators. Further, the action of the dimensionally reduced effective theory at high temperature is also computed to the same order. Existing calculations are reproduced and new results are obtained in the quark sector for which only partial results existed up to dimension six.

Megias, E; Salcedo, L L

2003-01-01T23:59:59.000Z

416

The thermal heat kernel expansion and the one-loop effective action of QCD at finite temperature  

E-Print Network [OSTI]

The heat kernel expansion for field theory at finite temperature is constructed. It is based on the imaginary time formalism and applies to generic Klein-Gordon operators in flat space-time. Full gauge invariance is manifest at each order of the expansion and the Polyakov loop plays an important role at any temperature. The expansion is explicitly worked out up to operators of dimension six included. The method is then applied to compute the one loop effective action of QCD at finite temperature with massless quarks. The calculation is carried out within the background field method in the $\\bar{\\text{MS}}$ scheme up to dimension six operators. Further, the action of the dimensionally reduced effective theory at high temperature is also computed to the same order. Existing calculations are reproduced and new results are obtained in the quark sector for which only partial results existed up to dimension six.

E. Megias; E. Ruiz Arriola; L. L. Salcedo

2003-12-10T23:59:59.000Z

417

Influence of drying temperature on the wet-milling performance and the proteins solubility indexes of corn kernels  

Science Journals Connector (OSTI)

The effects of air drying temperature on the wet-milling performance and the proteins solubility indexes were investigated for corn kernels dried between 54C and 130C. It was observed that when the drying temperature increases, the starch yield drops significantly. The gluten recovered increased abruptly for drying temperatures up to 80C. The albumin, globulin and zein solubility indexes decreased continuously when corn drying temperatures increased. According to the temperatures used, the starch yield, the gluten recovered and the salt-soluble proteins solubility indexes were adjusted satisfactorily by using a two asymptotic logistic model. This model has the advantage of supplying information on the dynamic of the variation of described parameters. The solubility index of total salt-soluble proteins was shown to be a suitable indicator of the severity of the drying treatment in regard to the corn wet-milling performance.

Paul Malumba; Sbastien Janas; Thadde Masimango; Mariane Sindic; Claude Deroanne; Franois Bra

2009-01-01T23:59:59.000Z

418

Comparison Study of Rubber Seed Shell and Kernel (Hevea Brasiliensis) as Raw Material for Bio-oil Production  

Science Journals Connector (OSTI)

Abstract The present study focuses on characterization of two biomass samples namely rubber seed shell (RSS) and rubber seed kernel (RSK), as raw materials for the production of biofuel. The biomass samples were collected from Kedah, Malaysia and examined for their physical and chemical characteristics as well as to determine proximate compositions, extractives, holocellulose and hemicelluloses content, elemental properties, calorific value, oil yield and pyrolysis. Among the two samples, RSK shows high carbon (64.5 wt%) and volatile matter (92.4 wt%) content. The calorific values of all the biomasses were found within the range of 23MJ/kg to 27MJ/kg. This study also supports the production of biofuel from rubber seed as a viable alternative to other conventional fuel.

S.N.A.M. Hassan; M.A.M. Ishak; K. Ismail; S.N. Ali; M.F. Yusop

2014-01-01T23:59:59.000Z

419

Patient-Specific Monte Carlo-Based Dose-Kernel Approach for Inverse Planning in Afterloading Brachytherapy  

SciTech Connect (OSTI)

Purpose: Brachytherapy planning software relies on the Task Group report 43 dosimetry formalism. This formalism, based on a water approximation, neglects various heterogeneous materials present during treatment. Various studies have suggested that these heterogeneities should be taken into account to improve the treatment quality. The present study sought to demonstrate the feasibility of incorporating Monte Carlo (MC) dosimetry within an inverse planning algorithm to improve the dose conformity and increase the treatment quality. Methods and Materials: The method was based on precalculated dose kernels in full patient geometries, representing the dose distribution of a brachytherapy source at a single dwell position using MC simulations and the Geant4 toolkit. These dose kernels are used by the inverse planning by simulated annealing tool to produce a fast MC-based plan. A test was performed for an interstitial brachytherapy breast treatment using two different high-dose-rate brachytherapy sources: the microSelectron iridium-192 source and the electronic brachytherapy source Axxent operating at 50 kVp. Results: A research version of the inverse planning by simulated annealing algorithm was combined with MC to provide a method to fully account for the heterogeneities in dose optimization, using the MC method. The effect of the water approximation was found to depend on photon energy, with greater dose attenuation for the lower energies of the Axxent source compared with iridium-192. For the latter, an underdosage of 5.1% for the dose received by 90% of the clinical target volume was found. Conclusion: A new method to optimize afterloading brachytherapy plans that uses MC dosimetric information was developed. Including computed tomography-based information in MC dosimetry in the inverse planning process was shown to take into account the full range of scatter and heterogeneity conditions. This led to significant dose differences compared with the Task Group report 43 approach for the Axxent source.

D'Amours, Michel [Departement de Radio-Oncologie et Centre de Recherche en Cancerologie de l'Universite Laval, Hotel-Dieu de Quebec, Quebec, QC (Canada); Department of Physics, Physics Engineering, and Optics, Universite Laval, Quebec, QC (Canada); Pouliot, Jean [Department of Radiation Oncology, University of California, San Francisco, School of Medicine, San Francisco, CA (United States); Dagnault, Anne [Departement de Radio-Oncologie et Centre de Recherche en Cancerologie de l'Universite Laval, Hotel-Dieu de Quebec, Quebec, QC (Canada); Verhaegen, Frank [Department of Radiation Oncology, Maastro Clinic, GROW Research Institute, Maastricht University Medical Centre, Maastricht (Netherlands); Department of Oncology, McGill University, Montreal, QC (Canada); Beaulieu, Luc, E-mail: beaulieu@phy.ulaval.ca [Departement de Radio-Oncologie et Centre de Recherche en Cancerologie de l'Universite Laval, Hotel-Dieu de Quebec, Quebec, QC (Canada); Department of Physics, Physics Engineering, and Optics, Universite Laval, Quebec, QC (Canada)

2011-12-01T23:59:59.000Z

420

Efficient Semiparametric Estimators for Nonlinear Regressions and Models under Sample Selection Bias  

E-Print Network [OSTI]

simulations. : : : : 68 VIII Five estimates of and and their estimated standard deviation for the ambulatory expenditures data, under two weighting func- tion models. The rst weighting function is w(x; ) = e e x , the second weighting function is w...(X; ) + ; where Y 2 R is the response variable, X 2 Rk is the predictor variable, 2 Rp is the unknown regression parameter and is the random error satisfying E( jX) = 0 and E( 2jX) = 2. Y and are assumed to have nite fourth moments. The parameter vector...

Kim, Mi Jeong

2012-10-19T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

KINETIC ANALYSIS OF HIGH-NITROGEN ENERGETIC MATERIALS USING MULTIVARIATE NONLINEAR REGRESSION  

SciTech Connect (OSTI)

New high-nitrogen energetic materials were synthesized by Hiskey and Naud. J. Opfermann reported a new tool for finding the probable model of the complex reactions using multivariate non-linear regression analysis of DSC and TGA data from several measurements run at different heating rates. This study is to take the kinetic parameters from the different steps and discover which reaction step is responsible for the runaway reaction by comparing predicted results from the Frank-Kamenetsckii equation with the critical temperature found experimentally using the modified Henkin test.

Campbell, M. S. (Mary Stinecipher); Rabie, R. L. (Ronald L.); Diaz-Acosta, I. (Irina); Pulay, P. (Peter)

2001-01-01T23:59:59.000Z

422

Operational Axioms for C*-algebra Representation of Transformations  

SciTech Connect (OSTI)

It is shown how a C*-algebra representation of the transformations of a physical system can be derived from two operational postulates: 1) the existence of dynamically independent systems; 2) the existence of symmetric faithful states. Both notions are crucial for the possibility of performing experiments on the system, in preventing remote instantaneous influences and in allowing calibration of apparatuses. The case of Quantum Mechanics is thoroughly analyzed. The possibility that other no-signaling theories admit a C*-algebra formulation is discussed.

D'Ariano, Giacomo Mauro [QUIT Group, Dipartimento di Fisica 'A. Volta', via Bassi 6, I-27100 Pavia (Italy)

2007-12-03T23:59:59.000Z

423

Operational axioms for C*-algebra representation of transformations  

E-Print Network [OSTI]

It is shown how a C*-algebra representation of the transformations of a physical system can be derived from two operational postulates: 1) the existence of dynamically independent systems}; 2) the existence of symmetric faithful states. Both notions are crucial for the possibility of performing experiments on the system, in preventing remote instantaneous influences and in allowing calibration of apparatuses. The case of Quantum Mechanics is thoroughly analyzed. The possibility that other no-signaling theories admit a C*-algebra formulation is discussed.

Giacomo Mauro D'Ariano

2007-10-07T23:59:59.000Z

424

Analytical method of spectra calculations in the Bargmann representation  

E-Print Network [OSTI]

We formulate a universal method for solving an arbitrary quantum system which, in the Bargmann representation, is described by a system of linear equations with one independent variable, such as one- and multi-photon Rabi models, or $N$ level systems interacting with a single mode of the electromagnetic field and their various generalizations. We explain three types of conditions that determine the spectrum and show their usage for two deformations of the Rabi model. We prove that the spectra of both models are just zeros of transcendental functions, which in one case are given explicitly in terms of confluent Heun functions.

Andrzej J. Maciejewski; Maria Przybylska; Tomasz Stachowiak

2014-10-31T23:59:59.000Z

425

Separable Representation of Proton-Nucleus Optical Potentials  

E-Print Network [OSTI]

Recently, a new approach for solving the three-body problem for (d,p) reactions in the Coulomb-distorted basis in momentum space was proposed. Important input quantities for such calculations are the scattering matrix elements for proton- and neutron-nucleus scattering. We present a generalization of the Ernst-Shakin-Thaler scheme in which a momentum space separable representation of proton-nucleus scattering matrix elements can be calculated in the Coulomb basis. The viability of this method is demonstrated by comparing S-matrix elements obtained for p$+^{48}$Ca and p$+^{208}$Pb for a phenomenological optical potential with corresponding coordinate space calculations.

L. Hlophe; V. Eremenko; Ch. Elster; F. M. Nunes; G. Arbanas; J. E. Escher; I. J. Thompson

2014-09-14T23:59:59.000Z

426

Separable Representation of Proton-Nucleus Optical Potentials  

E-Print Network [OSTI]

Recently, a new approach for solving the three-body problem for (d,p) reactions in the Coulomb-distorted basis in momentum space was proposed. Important input quantities for such calculations are the scattering matrix elements for proton- and neutron-nucleus scattering. We present a generalization of the Ernst-Shakin-Thaler scheme in which a momentum space separable representation of proton-nucleus scattering matrix elements can be calculated in the Coulomb basis. The viability of this method is demonstrated by comparing S-matrix elements obtained for p$+^{48}$Ca and p$+^{208}$Pb for a phenomenological optical potential with corresponding coordinate space calculations.

Hlophe, L; Elster, Ch; Nunes, F M; Arbanas, G; Escher, J E; Thompson, I J

2014-01-01T23:59:59.000Z

427

Free-Field Representation of Permutation Branes in Gepner Models  

E-Print Network [OSTI]

We consider free-field realization of Gepner models basing on free-field realization of N=2 superconformal minimal models. Using this realization we analyse A/B-type boundary conditions starting from the ansatz when left-moving and right-moving free-fields degrees of freedom are glued at the boundary by an arbitrary constant matrix. It is shown that the only boundary conditions consistent with the singular vectors structure of unitary minimal models representations are given by permutation matrices and give thereby explicit free-field construction of permutation branes of Recknagel.

S. E. Parkhomenko

2005-12-27T23:59:59.000Z

428

Representation of Limited Rights Data and Restricted Computer Software  

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

August 2005 August 2005 Applicant Name___________________________________ Announcement Number______________________________ Representation of Limited Rights Data and Restricted Computer Software (a) Any data delivered under an award resulting from this announcement is subject to the Rights in Data - General or the Rights in Data - Programs Covered Under Special Data Statutes clause (See Intellectual Property Provisions at http://www.gc.energy.gov/financial_assistance_awards.htm). Under these clauses, the Recipient may withhold from delivery data that qualify as limited rights data or restricted computer software. As an aid in determining the Government's need to include Alternate

429

Impact of Nighttime Shut Down on the Prediction Accuracy of Monthly Regression Models for Energy Consumption in Commercial Buildings  

E-Print Network [OSTI]

Regression models of measured energy use in buildings are widely used as baseline models to determine retrofit savings from measured energy consumption. It is less expensive to determine savings from monthly utility bills when they are available...

Wang, J.; Claridge, D. E.

1998-01-01T23:59:59.000Z

430

A support vector regression model for predicting tunnel boring machine penetration rates  

Science Journals Connector (OSTI)

Abstract With widespread increasing applications of mechanized tunneling in almost all ground conditions, prediction of tunnel boring machine (TBM) performance is required for time planning, cost control and choice of excavation method in order to make tunneling economical. Penetration rate is a principal measure of full-face TBM performance and is used to evaluate the feasibility of the machine and predict advance rate of excavation. This research aims at developing a regression model to predict penetration rate of TBM in hard rock conditions based on a new artificial intelligence (AI) algorithm namely support vector regression (SVR). For this purpose, the Queens Water Tunnel, in New York City, was selected as a case study to test the proposed model. In order to find out the optimum values of the parameters and prevent over-fitting, 80% of the total data were selected randomly for training set and the rest were kept for testing the model. According to the results, it can be said that the proposed model is a useful and reliable means to predict TBM penetration rate provided that a suitable dataset exists. From the prediction results of training and testing samples, the squared correlation coefficient (R2) between the observed and predicted values of the proposed model was obtained 0.99 and 0.95, respectively, which shows a high conformity between predicted and actual penetration rate.

Satar Mahdevari; Kourosh Shahriar; Saffet Yagiz; Mohsen Akbarpour Shirazi

2014-01-01T23:59:59.000Z

431

Hybrid data mining-regression for infrastructure risk assessment based on zero-inflated data  

Science Journals Connector (OSTI)

Infrastructure disaster risk assessment seeks to estimate the probability of a given customer or area losing service during a disaster, sometimes in conjunction with estimating the duration of each outage. This is often done on the basis of past data about the effects of similar events impacting the same or similar systems. In many situations this past performance data from infrastructure systems is zero-inflated; it has more zeros than can be appropriately modeled with standard probability distributions. The data are also often non-linear and exhibit threshold effects due to the complexities of infrastructure system performance. Standard zero-inflated statistical models such as zero-inflated Poisson and zero-inflated negative binomial regression models do not adequately capture these complexities. In this paper we develop a novel method that is a hybrid classification tree/regression method for complex, zero-inflated data sets. We investigate its predictive accuracy based on a large number of simulated data sets and then demonstrate its practical usefulness with an application to hurricane power outage risk assessment for a large utility based on actual data from the utility. While formulated for infrastructure disaster risk assessment, this method is promising for data-driven analysis for other situations with zero-inflated, complex data exhibiting response thresholds.

S.D. Guikema; S.M. Quiring

2012-01-01T23:59:59.000Z

432

Removal of River-Stage Fluctuations from Well Response Using Multiple-Regression  

SciTech Connect (OSTI)

Many contaminated unconfined aquifers are located in proximity to river systems. In groundwater studies, the physical presence of a river is commonly represented as a transient-head boundary that imposes hydrologic responses within the intersected unconfined aquifer. The periodic fluctuation of river-stage height at the boundary produces associated responses within the adjacent aquifer system, the magnitude of which is a function of the existing well, aquifer, boundary conditions, and river-stage fluctuation characteristics. The presence of well responses induced by the river stage can significantly limit characterization and monitoring of remedial activities within the stress-impacted area. This paper demonstrates the use of a time-domain, multiple-regression, convolution (superposition) method to develop well/aquifer river response function (RRF) relationships. Following RRF development, a multiple-regression deconvolution correction approach can be applied to remove river-stage effects from well water-level responses. Corrected well responses can then be analyzed to improve local aquifer characterization activities in support of optimizing remedial actions, assessing the area-of-influence of remediation activities, and determining mean groundwater flow and contaminant flux to the river system.

Spane, Frank A.; Mackley, Rob D.

2011-11-01T23:59:59.000Z

433

TEMPERATURE PREDICTION IN 3013 CONTAINERS IN K AREA MATERIAL STORAGE (KAMS) FACILITY USING REGRESSION METHODS  

SciTech Connect (OSTI)

3013 containers are designed in accordance with the DOE-STD-3013-2004. These containers are qualified to store plutonium (Pu) bearing materials such as PuO2 for 50 years. DOT shipping packages such as the 9975 are used to store the 3013 containers in the K-Area Material Storage (KAMS) facility at Savannah River Site (SRS). DOE-STD-3013-2004 requires that a comprehensive surveillance program be set up to ensure that the 3013 container design parameters are not violated during the long term storage. To ensure structural integrity of the 3013 containers, thermal analyses using finite element models were performed to predict the contents and component temperatures for different but well defined parameters such as storage ambient temperature, PuO{sub 2} density, fill heights, weights, and thermal loading. Interpolation is normally used to calculate temperatures if the actual parameter values are different from the analyzed values. A statistical analysis technique using regression methods is proposed to develop simple polynomial relations to predict temperatures for the actual parameter values found in the containers. The analysis shows that regression analysis is a powerful tool to develop simple relations to assess component temperatures.

Gupta, N

2008-04-22T23:59:59.000Z

434

Regional flood hydrology in a semi-arid catchment using a GLS regression model  

Science Journals Connector (OSTI)

Summary The regional flood frequency hydrology of the 86,000km2 and semi-arid Ebro catchment is investigated using an extended generalised least square model that includes separate descriptions for sampling errors and model errors. The Ebro catchment is characterised by large hydro-climatic heterogeneities among sub-regions. However, differences in flood processes among sites are better explained by a set of new catchment descriptors introduced into hydrological regression models, such as new characteristics derived from the slope of flow duration curves, the ratio of mean annual precipitation to extreme precipitations and the aridity index. These additions enabled a more direct link to be established between the general flow regime and the extreme flood characteristics through-out the entire catchment. The new regression models developed in this study were compared to a set of existing models recommended for flood frequency estimation in Spain. It was found that the generalised least squares model developed in this study improves the existing ordinary least squares models both at regional and trans-regional scales. An adequate description of flood processes is obtained and, as a direct consequence, more reliable flood predictions in ungauged catchments are achieved.

Luis Mediero; Thomas R. Kjeldsen

2014-01-01T23:59:59.000Z

435

Outside the Circle: The Juxtaposition of Powwow Imagery and Cherokee Historical Representation.  

E-Print Network [OSTI]

??This thesis looks at the juxtaposition presented by the Eastern Cherokee's struggle to present an accurate historical representation of 'Cherokee' against the backdrop of the (more)

Brumley, Dana

2009-01-01T23:59:59.000Z

436

THMC Modeling of EGS Reservoirs ? Continuum through Discontinuum Representations: Capturing Reservoir Stimulation, Evolution and Induced Seismicity  

Broader source: Energy.gov [DOE]

THMC Modeling of EGS Reservoirs ? Continuum through Discontinuum Representations: Capturing Reservoir Stimulation, Evolution and Induced Seismicity presentation at the April 2013 peer review meeting held in Denver, Colorado.

437

Request for Proposal No. DE-SOL-0007749 PART IV - REPRESENTATIONS...  

National Nuclear Security Administration (NNSA)

performed in the United States or its outlying areas. (v) 52.209-2, Prohibition on Contracting with Inverted Domestic Corporations-Representation. This provision applies to...

438

ORISE-09-OEWH-0176 POISSON REGRESSION ANALYSIS OF ILLNESS AND INJURY SURVEILLANCE DATA  

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

ORISE-09-OEWH-0176 ORISE-09-OEWH-0176 POISSON REGRESSION ANALYSIS OF ILLNESS AND INJURY SURVEILLANCE DATA E. L. Frome J. P. Watkins E. D. Ellis Center for Epidemiologic Research Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA C. H. Strader U. S. Department of Energy Date Published: December 2012 Prepared by Oak Ridge Institute for Science and Education P.O. Box 117 Oak Ridge, TN 37831-0117 managed by Oak Ridge Associated Universities for the U.S. DEPARTMENT OF ENERGY under contract DE-AC05-06OR23100 DOCUMENT AVAILABILITY Approved for public release; further dissemination unlimited. Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge: Web site: http://www.osti.gov/bridge

439

A study of preproject planning and project success using \\{ANNs\\} and regression models  

Science Journals Connector (OSTI)

It has long been recognized by the industry practitioners that how well preproject planning is conducted has a great impact on project outcome. Through industry project data collection and model analysis, this research intends to investigate the relationship between preproject planning and project success. Preproject planning and project performance information from 62 industrial projects and 78 building projects, representing approximately $5billion U.S.D. in total construction cost, is collected and used for this research analysis. Based on the information obtained, preproject planning is identified as having direct impact on the project success (cost and schedule performance). Two techniques were then used to develop models for predicting cost and schedule performance: statistical regression analysis, and artificial neural networks (ANNs). The research results provide a valuable source of information that supports better planning in the early stage of the project life cycle and have positive impact on the final project outcome.

Yu-Ren Wang; G. Edward Gibson Jr.

2010-01-01T23:59:59.000Z

440

Distributed, Cross-Platform, and Regression Testing Architecture for Service-Oriented Architecture  

E-Print Network [OSTI]

As per leading IT experts, today's large enterprises are going through business transformations. They are adopting service-based IT models such as SOA to develop their enterprise information systems and applications. In fact, SOA is an integration of loosely-coupled interoperable components, possibly built using heterogeneous software technologies and hardware platforms. As a result, traditional testing architectures are no more adequate for verifying and validating the quality of SOA systems and whether they are operating to specifications. This paper first discusses the various state-of-the-art methods for testing SOA applications, and then it proposes a novel automated, distributed, cross-platform, and regression testing architecture for SOA systems. The proposed testing architecture consists of several testing units which include test engine, test code generator, test case generator, test executer, and test monitor units. Experiments conducted showed that the proposed testing architecture managed to use p...

Bassil, Youssef

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "kernel regression representation" 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

Multiple linear regression: fixed and multinormal data with missing observations among the independent variables  

E-Print Network [OSTI]

) b 23 + W ( 3)b E (W'(x3) El b2 + W" (x3 E) b" ) 3 " ' "3 23 E (W (x ) + W (x ))B2 x3 '23 (3. 21) since W'(x ) + W" (x ) = l. 3 3 It should also be noted that if any group j (except 0) is not large enough to provide regression estimates... of The General Solution or that found in the previous section) from each of the t groups. Let b represent the estimate of B from the t-th group. Then an i estimate of the variance of b is found by the equation k Var(b)- E ( b -b ) /k 1 t i i k k . E t~l (3...

Johnston, Walter Edward

1965-01-01T23:59:59.000Z

442

Group representation approach to 1 - N universal quantum cloning machines  

E-Print Network [OSTI]

In this work, we revisit the problem of finding an admissible region of fidelities obtained after an application of an arbitrary $1 \\rightarrow N$ universal quantum cloner which has been recently solved in [A. Kay et al., Quant. Inf. Comput 13, 880 (2013)] from the side of cloning machines. Using group-theory formalism, we show that the allowed region for fidelities can be alternatively expressed in terms of overlaps of pure states with recently found irreducible representations of the commutant $U \\otimes U \\otimes \\ldots \\otimes U \\otimes U^*$, which gives the characterization of the allowed region where states being cloned are figure of merit. Additionally, it is sufficient to take pure states with real coefficients only, which makes calculations simpler. To obtain the allowed region, we make a convex hull of possible ranges of fidelities related to a given irrep. Subsequently, two cases: $1 \\rightarrow 2$ and $1 \\rightarrow 3$ cloners, are studied for different dimensions of states as illustrative examples.

Micha? Studzi?ski; Piotr ?wikli?ski; Micha? Horodecki; Marek Mozrzymas

2014-05-05T23:59:59.000Z

443

Graphics processing units accelerated semiclassical initial value representation molecular dynamics  

SciTech Connect (OSTI)

This paper presents a Graphics Processing Units (GPUs) implementation of the Semiclassical Initial Value Representation (SC-IVR) propagator for vibrational molecular spectroscopy calculations. The time-averaging formulation of the SC-IVR for power spectrum calculations is employed. Details about the GPU implementation of the semiclassical code are provided. Four molecules with an increasing number of atoms are considered and the GPU-calculated vibrational frequencies perfectly match the benchmark values. The computational time scaling of two GPUs (NVIDIA Tesla C2075 and Kepler K20), respectively, versus two CPUs (Intel Core i5 and Intel Xeon E5-2687W) and the critical issues related to the GPU implementation are discussed. The resulting reduction in computational time and power consumption is significant and semiclassical GPU calculations are shown to be environment friendly.

Tamascelli, Dario; Dambrosio, Francesco Saverio [Dipartimento di Fisica, Universit degli Studi di Milano, via Celoria 16, 20133 Milano (Italy)] [Dipartimento di Fisica, Universit degli Studi di Milano, via Celoria 16, 20133 Milano (Italy); Conte, Riccardo [Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322 (United States)] [Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322 (United States); Ceotto, Michele, E-mail: michele.ceotto@unimi.it [Dipartimento di Chimica, Universit degli Studi di Milano, via Golgi 19, 20133 Milano (Italy)] [Dipartimento di Chimica, Universit degli Studi di Milano, via Golgi 19, 20133 Milano (Italy)

2014-05-07T23:59:59.000Z

444

Enhancement of Solar Energy Representation in the GCAM Model  

SciTech Connect (OSTI)

The representation of solar technologies in a research version of the GCAM (formerly MiniCAM) integrated assessment model have been enhanced to add technologies, improve the underlying data, and improve the interaction with the rest of the model. We find that the largest potential impact from the inclusion of thermal Concentrating Solar Power plants, which supply a substantial portion of electric generation in sunny regions of the world. Drawing on NREL research, domestic Solar Hot Water technologies have also been added in the United States region where this technology competes with conventional electric and gas technologies. PV technologies are as implemented in the CCTP scenarios, drawing on NREL cost curves for the United States, extrapolated to other world regions using a spatial analysis of population and solar resources.

Smith, Steven J.; Volke, April C.; Delgado Arias, Sabrina

2010-02-01T23:59:59.000Z

445

High School Students' Understandings and Representations of the Electric Field  

E-Print Network [OSTI]

This study investigates the understandings and representations of the electric field expressed by Chinese high school students ages 15 to 16 who have not yet received high school-level physics instruction. The literature has reported students' ideas of the electric field post-instruction as indicated by their performance on textbook-style questionnaires. However, by relying on measures such as questionnaires, previous research has inadequately captured the thinking process that led students to answer questions in the ways that they did. The present study portrays the beginning of this process by closely examining students' understandings pre-instruction. The participants in this study were asked to engage in a lesson that included informal group tasks that involved playing a Web-based hockey game that replicated an electric field and drawing comic strips that used charges as characters. The lesson was videotaped, students' work was collected, and three students were interviewed afterward to ascertain more det...

Cao, Ying

2014-01-01T23:59:59.000Z

446

Poisson regression analysis of the mortality among a cohort of World War II nuclear industry workers  

SciTech Connect (OSTI)

A historical cohort mortality study was conducted among 28,008 white male employees who had worked for at least 1 month in Oak Ridge, Tennessee, during World War II. The workers were employed at two plants that were producing enriched uranium and a research and development laboratory. Vital status was ascertained through 1980 for 98.1% of the cohort members and death certificates were obtained for 96.8% of the 11,671 decedents. A modified version of the traditional standardized mortality ratio (SMR) analysis was used to compare the cause-specific mortality experience of the World War II workers with the U.S. white male population. An SMR and a trend statistic were computed for each cause-of-death category for the 30-year interval from 1950 to 1980. The SMR for all causes was 1.11, and there was a significant upward trend of 0.74% per year. The excess mortality was primarily due to lung cancer and diseases of the respiratory system. Poisson regression methods were used to evaluate the influence of duration of employment, facility of employment, socioeconomic status, birth year, period of follow-up, and radiation exposure on cause-specific mortality. Maximum likelihood estimates of the parameters in a main-effects model were obtained to describe the joint effects of these six factors on cause-specific mortality of the World War II workers. We show that these multivariate regression techniques provide a useful extension of conventional SMR analysis and illustrate their effective use in a large occupational cohort study.

Frome, E.L.; Cragle, D.L.; McLain, R.W. (Oak Ridge National Laboratory, TN (USA))

1990-08-01T23:59:59.000Z

447

Esophageal Stenosis Associated With Tumor Regression in Radiotherapy for Esophageal Cancer: Frequency and Prediction  

SciTech Connect (OSTI)

Purpose: To determine clinical factors for predicting the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer. Methods and Materials: The study group consisted of 109 patients with esophageal cancer of T1-4 and Stage I-III who were treated with definitive radiotherapy and achieved a complete response of their primary lesion at Kyushu University Hospital between January 1998 and December 2007. Esophageal stenosis was evaluated using esophagographic images within 3 months after completion of radiotherapy. We investigated the correlation between esophageal stenosis after radiotherapy and each of the clinical factors with regard to tumors and therapy. For validation of the correlative factors for esophageal stenosis, an artificial neural network was used to predict the esophageal stenotic ratio. Results: Esophageal stenosis tended to be more severe and more frequent in T3-4 cases than in T1-2 cases. Esophageal stenosis in cases with full circumference involvement tended to be more severe and more frequent than that in cases without full circumference involvement. Increases in wall thickness tended to be associated with increases in esophageal stenosis severity and frequency. In the multivariate analysis, T stage, extent of involved circumference, and wall thickness of the tumor region were significantly correlated to esophageal stenosis (p = 0.031, p < 0.0001, and p = 0.0011, respectively). The esophageal stenotic ratio predicted by the artificial neural network, which learned these three factors, was significantly correlated to the actual observed stenotic ratio, with a correlation coefficient of 0.864 (p < 0.001). Conclusion: Our study suggested that T stage, extent of involved circumference, and esophageal wall thickness of the tumor region were useful to predict the frequency and severity of esophageal stenosis associated with tumor regression in radiotherapy for esophageal cancer.

Atsumi, Kazushige [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Shioyama, Yoshiyuki, E-mail: shioyama@radiol.med.kyushu-u.ac.jp [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Arimura, Hidetaka [Department of Health Sciences, Kyushu University, Fukuoka (Japan); Terashima, Kotaro [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Matsuki, Takaomi [Department of Health Sciences, Kyushu University, Fukuoka (Japan); Ohga, Saiji; Yoshitake, Tadamasa; Nonoshita, Takeshi; Tsurumaru, Daisuke; Ohnishi, Kayoko; Asai, Kaori; Matsumoto, Keiji [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan); Nakamura, Katsumasa [Department of Radiology, Kyushu University Hospital at Beppu, Oita (Japan); Honda, Hiroshi [Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka (Japan)

2012-04-01T23:59:59.000Z

448

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models  

SciTech Connect (OSTI)

A central issue in contemporary science is the development of nonlinear data driven statisticaldynamical models for time series of noisy partial observations from nature or a complex model. It has been established recently that ad-hoc quadratic multi-level regression models can have finite-time blow-up of statistical solutions and/or pathological behavior of their invariant measure. Recently, a new class of physics constrained nonlinear regression models were developed to ameliorate this pathological behavior. Here a new finite ensemble Kalman filtering algorithm is developed for estimating the state, the linear and nonlinear model coefficients, the model and the observation noise covariances from available partial noisy observations of the state. Several stringent tests and applications of the method are developed here. In the most complex application, the perfect model has 57 degrees of freedom involving a zonal (eastwest) jet, two topographic Rossby waves, and 54 nonlinearly interacting Rossby waves; the perfect model has significant non-Gaussian statistics in the zonal jet with blocked and unblocked regimes and a non-Gaussian skewed distribution due to interaction with the other 56 modes. We only observe the zonal jet contaminated by noise and apply the ensemble filter algorithm for estimation. Numerically, we find that a three dimensional nonlinear stochastic model with one level of memory mimics the statistical effect of the other 56 modes on the zonal jet in an accurate fashion, including the skew non-Gaussian distribution and autocorrelation decay. On the other hand, a similar stochastic model with zero memory levels fails to capture the crucial non-Gaussian behavior of the zonal jet from the perfect 57-mode model.

Harlim, John, E-mail: jharlim@psu.edu [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States)] [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States); Mahdi, Adam, E-mail: amahdi@ncsu.edu [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States)] [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States); Majda, Andrew J., E-mail: jonjon@cims.nyu.edu [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 (United States)

2014-01-15T23:59:59.000Z

449

www.mdpi.com/journal/ijerph Hotspot Analysis of Spatial Environmental Pollutants Using Kernel Density Estimation and Geostatistical Techniques  

E-Print Network [OSTI]

Abstract: Concentrations of four heavy metals (Cr, Cu, Ni, and Zn) were measured at 1,082 sampling sites in Changhua county of central Taiwan. A hazard zone is defined in the study as a place where the content of each heavy metal exceeds the corresponding control standard. This study examines the use of spatial analysis for identifying multiple soil pollution hotspots in the study area. In a preliminary investigation, kernel density estimation (KDE) was a technique used for hotspot analysis of soil pollution from a set of observed occurrences of hazards. In addition, the study estimates the hazardous probability of each heavy metal using geostatistical techniques such as the sequential indicator simulation (SIS) and indicator kriging (IK). Results show that there are multiple hotspots for these four heavy metals and they are strongly correlated to the locations of industrial plants and irrigation systems in the study area. Moreover, the pollution hotspots detected using the KDE are the almost same to those estimated using IK or SIS. Soil pollution hotspots and polluted sampling densities are clearly defined using the KDE approach based

Yu-pin Lin; Hone-jay Chu; Chen-fa Wu; Tsun-kuo Chang; Chiu-yang Chen

2010-01-01T23:59:59.000Z

450

Understanding the large-distance behavior of TMD parton densities and the Collins-Soper evolution kernel  

E-Print Network [OSTI]

There is considerable controversy about the size and importance of non-perturbative contributions to the evolution of transverse momentum dependent (TMD) parton distribution functions. Standard fits to relatively high-energy Drell-Yan data give evolution that when taken to lower Q is too rapid to be consistent with recent data in semi-inclusive deeply inelastic scattering. Some authors provide very different forms for TMD evolution, even arguing that non-perturbative contributions at large transverse distance b_T are not needed or are irrelevant. Here, we systematically analyze the issues, both perturbative and non-perturbative. We make a motivated proposal for the parameterization of the non-perturbative part of the TMD evolution kernel that could give consistency: with the variety of apparently conflicting data, with theoretical perturbative calculations where they are applicable, and with general theoretical non-perturbative constraints on correlation functions at large distances. We propose and use a scheme- and scale-independent function A(b_T) that gives a tool to compare and diagnose different proposals for TMD evolution. We also advocate for phenomenological studies of A(b_T) as a probe of TMD evolution. The results are important generally for applications of TMD factorization. In particular, they are important to making predictions for proposed polarized Drell-Yan experiments to measure the Sivers function.

John Collins; Ted Rogers

2015-01-22T23:59:59.000Z

451

Dose point kernel for boron-11 decay and the cellular S values in boron neutron capture therapy  

Science Journals Connector (OSTI)

The study of the radiobiology of boronneutron capture therapy is based on the cellular level dosimetry of boron-10s thermal neutron capture reaction B 10 ( n ? ) Li 7 in which one 1.47 MeV helium-4 ion and one 0.84 MeV lithium-7 ion are spawned. Because of the chemical preference of boron-10 carrier molecules the dose is heterogeneously distributed in cells. In the present work the (scaled) dose point kernel of boron-11 decay called B 11 -DPK was calculated by GEANT4Monte Carlo simulation code. The DPK curve drops suddenly at the radius of 4.26 ? m the continuous slowing down approximation (CSDA) range of a lithium-7 ion. Then after a slight ascending the curve decreases to near zero when the radius goes beyond 8.20 ? m which is the CSDA range of a 1.47 MeV helium-4 ion. With the DPK data S values for nuclei and cells with the boron-10 on the cell surface are calculated for different combinations of cell and nucleus sizes. The S value for a cell radius of 10 ? m and a nucleus radius of 5 ? m is slightly larger than the value published by Tung et al. [Appl. Radiat. Isot.61 739743 (2004)]. This result is potentially more accurate than the published value since it includes the contribution of a lithium-7 ion as well as the alpha particle.

Yunzhi Ma; JinPeng Geng; Song Gao; Shanglian Bao

2006-01-01T23:59:59.000Z

452

Flame kernel characterization of laser ignition of natural gasair mixture in a constant volume combustion chamber  

Science Journals Connector (OSTI)

In this paper, laser-induced ignition was investigated for compressed natural gasair mixtures. Experiments were performed in a constant volume combustion chamber, which simulate end of the compression stroke conditions of a SI engine. This chamber simulates the engine combustion chamber conditions except turbulence of airfuel mixture. It has four optical windows at diametrically opposite locations, which are used for laser ignition and optical diagnostics simultaneously. All experiments were conducted at 10bar chamber pressure and 373K chamber temperature. Initial stage of combustion phenomena was visualized by employing Shadowgraphy technique using a high speed CMOS camera. Flame kernel development of the combustible fuelair mixture was investigated under different relative airfuel ratios (?=1.2?1.7) and the images were interrogated for temporal propagation of flame front. Pressure-time history inside the combustion chamber was recorded and analyzed. This data is useful in characterizing the laser ignition of natural gasair mixture and can be used in developing an appropriate laser ignition system for commercial use in SI engines.

Dhananjay Kumar Srivastava; Kewal Dharamshi; Avinash Kumar Agarwal

2011-01-01T23:59:59.000Z

453

Adjacent visual representations of self-motion in different reference frames  

Science Journals Connector (OSTI)

...Representation of head-centric flow in the human motion complex . J Neurosci 26 : 5616 5627...designed soft convex lens with a refractive power of approximately +30 di-opter. When...Representation of head-centric flow in the human motion complex. J Neurosci 26:5616 ZZQQhy5627...

David Mattijs Arnoldussen; Jeroen Goossens; Albert V. van den Berg

2011-01-01T23:59:59.000Z

454

Rangeland Ecology & Management Spatially-explicit representation of state-and-transition models  

E-Print Network [OSTI]

Rangeland Ecology & Management Spatially-explicit representation of state-and-transition models state-and-transition models (STMs) to spatial units is a valuable management tool for structuring ground Manager® from Aries Systems Corporation #12;1 Spatially-Explicit Representation of State-and-Transition

455

Parametric representation of a surface pencil with a common spatial geodesic  

E-Print Network [OSTI]

Parametric representation of a surface pencil with a common spatial geodesic Guo-Jin Wanga , Kai a given spatial geodesic curve. We derive a parametric representation for a surface pencil whose members share the same geodesic curve as an isoparametric curve. By utilizing the Frenet trihedron frame along

Tai, Chiew-Lan

456

WHEN Cp(X) IS DOMAIN REPRESENTABLE WILLIAM FLEISSNER AND LYNNE YENGULALP  

E-Print Network [OSTI]

WHEN Cp(X) IS DOMAIN REPRESENTABLE WILLIAM FLEISSNER AND LYNNE YENGULALP ABSTRACT. Let M corollaries answer open questions. If X is completely regular and Cp(X) is domain representable, then X is discrete. If X is zero-dimensional, T2 , and Cp(X, D) is subcompact, then X is discrete. keywords: Domain

Yengulalp, Lynne

457

Determinants, Pfaffians and QuasiFree Representations of the CAR Algebra  

E-Print Network [OSTI]

dimensional Spin c ­ representation is obtained, via a Shale­Stinespring implementation of Bogolubov transfor]). Alternatively, our constructions can be viewed as a geometrization of the theorems of Powers­Størmer and Shale­Stinespring representations): this is the geometrical ver­ sion of the Shale­Stinespring theorem on the implementation

Wurzbacher, Tilmann

458

CSC 1051 M.A. Papalaskari, Villanova University Data Representation and  

E-Print Network [OSTI]

CSC 1051 M.A. Papalaskari, Villanova University Data Representation and Applets CSC 1051 ­ Data conversions · Image representation · Java Applets CSC 1051 M.A. Papalaskari, Villanova University #12;Reverse CSC 1051 M.A. Papalaskari, Villanova University Review #12;Memory devices store data of all kinds 9278

Papalaskari, Mary-Angela

459

POLYNOMIAL REPRESENTATION OF SOME SHIP SECTION AREA CURVES AND THE CALCULATION OF THE ASSOCIATED WAVE RESISTANCE  

Science Journals Connector (OSTI)

......the mean draught of the ship, and g is the acceleration...but only the com- bined effects of wave resistance and...POLYNOMIAL REPRESENTATION OF SHIP SECTION AREA CURVES 61...POLYNOMIAL REPRESENTATION OF SHIP SECTION AREA CURVES 53...xm, so that the effect of passing from yn(x......

D. W. MARTIN

1961-02-01T23:59:59.000Z

460

Born-Oppenheimer Non-Adiabatic Diabatic Appendix ADIABATIC AND DIABATIC REPRESENTATIONS  

E-Print Network [OSTI]

Born-Oppenheimer Non-Adiabatic Diabatic Appendix ADIABATIC AND DIABATIC REPRESENTATIONS Andreas Representations #12;Born-Oppenheimer Non-Adiabatic Diabatic Appendix OUTLINE 1 THE BORN-OPPENHEIMER APPROXIMATION Dressed Kinetic Energy Group Born-Oppenheimer Approximation Singularities at Conical Intersections 3

Markmann, Andreas

Note: This page contains sample records for the topic "kernel regression representation" 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

A framework for the study of external representations in collaborative design settings  

Science Journals Connector (OSTI)

The use of modeling, simulation and visualization techniques in scientific and technical domains has led to the co-existence of a large diversity of external representations that, when deployed in collaborative work settings, can be designated by the ... Keywords: Collaborative design, Inscriptions, Serious game, Shared representations, Typology

Erica De Vries; CDric Masclet

2013-01-01T23:59:59.000Z

462

Hierarchical multi-view representation of spatial data; application to the analysis of Corsican Neolithic tombs.  

E-Print Network [OSTI]

Hierarchical multi-view representation of spatial data; application to the analysis of Corsican and views of spatial data for analyzing archeological data. This interdisciplinary project begins in the Corsica Island. · GIS representation of the previous data through spatial entities · Analysis

Paris-Sud XI, Université de

463

Modeling DFIG Using General Vector Representation in the Presence of Harmonics  

Science Journals Connector (OSTI)

In this paper, a doubly-fed induction generator (DFIG) wind turbine is modeled by using the general vector representation of voltage, current and magnetic flux in the presence of harmonics. The general vector representation provides insights into how ... Keywords: wind turbine, harmonics, general vector form, DFIG

Ziqiao Liu; Ahmed Abu-Hajar; David Wenzhong Gao

2013-04-01T23:59:59.000Z

464

Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding  

E-Print Network [OSTI]

1 Iconizer: A Framework to Identify and Create Effective Representations for Visual Information, the degree of semantics encoded in these visual representations is still quite limited. The use of icons databases to help users identify icons suitable to visually encode abstract semantic concepts. Keywords

Mueller, Klaus

465

Cortical representations of pitch in monkeys and humans Daniel Bendor and Xiaoqin Wang  

E-Print Network [OSTI]

Cortical representations of pitch in monkeys and humans Daniel Bendor and Xiaoqin Wang Pitch acoustic environment. How pitch is represented in the cerebral cortex has for a long time remained-primary region of auditory cortex in primates that contains a cortical representation of pitch. Addresses

Wang, Xiaoqin

466

Experiments with Document and Query Representations for a Terabyte of Text  

E-Print Network [OSTI]

Experiments with Document and Query Representations for a Terabyte of Text Jaap Kamps1,2 1 ISLA, University of Amsterdam Abstract: As part of the TREC 2006 Terabyte track, we conducted a range of various web-centric document representations based on document-text, incoming anchor-texts, and page

Kamps, Jaap

467

UCP-Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier  

E-Print Network [OSTI]

UCP-Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier@cs.bgu.ac.il Abstract We propose a directed graphical representation of util- ity functions, called UCP-networks. The network de- composes a utility function into a number of additive factors, with the directionality

Boutilier, Craig

468

Comparing tactile maps and haptic digital representations of a maritime environment  

E-Print Network [OSTI]

maps from SeaTouch, a maritime GIS for blind sailors. Thus, we compared spatial performances obtainedComparing tactile maps and haptic digital representations of a maritime environment Mathieu Réalité Virtuelle (CERV) ENIB Abstract A map exploration and representation exercise was conducted

Paris-Sud XI, Université de

469

Representations, Tools, and Techniques for the Complete Integration of Software Development Documents  

E-Print Network [OSTI]

representations, software tools, and user interface services needed for the complete integration of all documents document and link structure with fine­grained revision control, specialized 1 #12; link semantics The proposed research will identify the document representations, software tools, and user interface services

Baumgartner, Gerald

470

3D binary anti-commutative operadic Lax representations for harmonic oscillator  

E-Print Network [OSTI]

It is explained how the time evolution of the operadic variables may be introduced by using the operadic Lax equation. The operadic Lax representations for the harmonic oscillator are constructed in 3-dimensional binary anti-commutative algebras. As an example, an operadic Lax representation for the harmonic oscillator in the Lie algebra sl(2) is constructed.

Eugen Paal; Jyri Virkepu

2008-06-08T23:59:59.000Z

471

AER EAR: A Matched Silicon Cochlea Pair with Address Event Representation Interface  

E-Print Network [OSTI]

AER EAR: A Matched Silicon Cochlea Pair with Address Event Representation Interface André van, the Address Event Representation (AER) interface has become the standard interface protocol in recent years. The AER approach allows us to model biological systems using discrete level (spikes) and continuous

Liu, Shih-Chii

472

"It is written": representations of determinism in contemporary popular science writing and contemporary British fiction  

E-Print Network [OSTI]

It is written: Representations of Determinism in Contemporary Popular Science Writing and Contemporary British Fiction Bradon T. L. Smith Downing College July 2010 This dissertation... It is written: Representations of Determinism in Contemporary Popular Science Writing and Contemporary British Fiction Bradon T. L. Smith Downing College July 2010 This dissertation...

Smith, Bradon T L

2011-01-11T23:59:59.000Z

473

CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION  

E-Print Network [OSTI]

CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION NUMBERS OF Co 2 J  URGEN M  ULLER AND JENS ROSENBOOM Abstract. We present an algorithm to condense induced, condensation has become one of the most valuable tools in computational representation theory of #12;nite

Mueller, Jürgen

474

CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION  

E-Print Network [OSTI]

CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION NUMBERS OF Co2 J¨URGEN M¨ULLER AND JENS ROSENBOOM Abstract. We present an algorithm to condense induced modules, condensation has become one of the most valuable tools in computational representation theory of finite groups

Mueller, Jürgen

475

Horn's problem and semi-stability for quiver representations W. Crawley-Boevey and Ch. Gei  

E-Print Network [OSTI]

for the eigen- values of H, which we list in decreasing order, and repeat each value according to itsHorn's problem and semi-stability for quiver representations W. Crawley-Boevey and Ch. Gei#25; 1 by Derksen and Weyman [2] using properties of semi-invariants for representations of a certain quiver

Gei?, Christof

476

Your Data Analysis Needs and Tukey Joseph A. Insley Data Representations: Volume Rendering  

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

Data Analysis Needs and Tukey Data Analysis Needs and Tukey Joseph A. Insley Data Representations: Volume Rendering  Turn 2- and 3-dimensionsal datasets into 2D images  Approximation: Volume ray casting Data Representations: Glyphs  2D or 3D geometric object to represent point data  Location dictated by coordinate  3D location on mesh  2D position in table/graph  Attributes of graphical entity dictated by attributes of a data  color, size, orientation Data Representations: Iso-contours  A Line (2D) or Surface (3D), representing a constant value Data Representations: Cutting Planes  Slice a plane through the data  Can apply additional visualization methods to resulting plane Data Representations: Streamlines  From vector field on a mesh (needs connectivity)

477

ELECTRICITY CONSUMPTION IN THE INDUSTRIAL SECTOR OF JORDAN: APPLICATION OF MULTIVARIATE LINEAR REGRESSION AND ADAPTIVE NEURO?FUZZY TECHNIQUES  

Science Journals Connector (OSTI)

In this study two techniques for modeling electricity consumption of the Jordanian industrial sector are presented: (i) multivariate linear regression and (ii) neuro?fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments number of employees electricity tariff prevailing fuel prices production outputs capacity utilizations and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro?fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However comparison that is based on the square root average squared error of data suggests that the neuro?fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work using different methods for other countries.

M. Samhouri; A. Al?Ghandoor; R. H. Fouad

2009-01-01T23:59:59.000Z

478

The portable UNIX programming system (PUPS) and CANTOR: a computational environment for dynamical representation and analysis of complex neurobiological data  

Science Journals Connector (OSTI)

...representation and analysis of such data. The system can also...powerful computer hardware...clusters of computers. These attributes make the system easily scalable...representation and analysis of arbitrarily...clusters of computers. These attributes make the system easily scalable...representation and analysis of arbitrarily...

2001-01-01T23:59:59.000Z

479

Efficient representation for formal verification of PLC programs * Vincent Gourcuff, Olivier De Smet and Jean-Marc Faure  

E-Print Network [OSTI]

Efficient representation for formal verification of PLC programs * Vincent Gourcuff, Olivier De, an efficient representation of PLC programs is proposed. This representation includes only the states that are meaningful for properties proof. A method to translate PLC programs developed in Structured Text into Nu

Paris-Sud XI, Université de

480

Optimal control for variable-speed wind generation systems using General Regression Neural Network  

Science Journals Connector (OSTI)

Abstract An induction generator (IG) speed drive with the application of an optimal controller and a proposed General Regression Neural Network (GRNN) controller is introduced in this paper. Grid connected wind energy conversion system (WECS) present interesting control demands, due to the intrinsic nonlinear characteristic of wind mills and electric generators. The GRNN with adaptive ant colony optimization (AACO) torque compensation is feed-forward to increase the robustness of the wind driven induction generator system. An optimal control loop for the wind power system is designed. The optimality of the whole system is defined in relation with the trade-off between the wind energy conversion maximization and the minimization of the induction generator torque variation that is responsible for the frequency fluctuations. This is achieved by using a combined optimization criterion, resulting in a LQ tracking problem with an infinite horizon and a measurable exogenous variable (wind speed). The proposed controller is designed to drive the turbine speed to extract maximum power from the wind and adjust to the power regulation.

Chih-Ming Hong; Fu-Sheng Cheng; Chiung-Hsing Chen

2014-01-01T23:59:59.000Z

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481

Ordinal Logistic Regression Model of Failure Mode and Effects Analysis (FMEA) in Pharmaceutical Tabletting Tools  

Science Journals Connector (OSTI)

The main objective of this paper is to use Ordinal Logistic Regression Modeling (OLRM) to predict and to investigate the relationship(s) between the different types of failures encountered in tableting tools of pharmaceutical industry and relevant tablet- and punch attributes. This would help minimize the occurrence of such failures in and avoid potential failure occurrences in future punch designs. Three punch attributes (punch diameter, location and shape) and five product attributes (tablet mass (gm), hardness (Kp), thickness (mm), moisture content (percent loss on drying (LOD %)) and sieve size (mm)) have been investigated in terms of their relative contributions towards different failure types. The present OLRM model has been successfully applied to the predict failure types according to the aforementioned factors. Furthermore, OLRM quantitatively links and evaluates the effects and contribution of each of these factors to the occurrence of different failure types. The OLRM methodology has been validated conveniently and proved to be powerful prediction tool. This is indicated by the marginal 2.4% error percentage encountered.

Mohammad D. AL-Tahat; Abdul Kareem M. Abdul Jawwad; Yousef L. Abu Nahleh

2013-01-01T23:59:59.000Z

482

Regression analysis of residential air-conditioning energy consumption at Dhahran, Saudi Arabia  

SciTech Connect (OSTI)

The energy consumption of a house air conditioner located at Dhahran, Saudi Arabia, is modeled as a function of weather parameters and total (global) solar radiation on a horizontal surface. The selection of effective parameters that significantly influence energy consumption is carried out using general stepping regression methods. The problem of collinearity between the regressors is also investigated. The final model involves parameters of total solar radiation on a horizontal surface, wind speed, and temperature difference between the indoor and outdoor condition. However, the model coefficients are functions of relative humidity and/or temperature difference between the indoor and outdoor condition. Model adequacy is examined by the residual analysis technique. Model validation is carried out by the data-splitting technique. The sensitivity of the model indicates that relative humidity and temperature difference strongly influence the cooling energy consumption. It was found that an increase in relative humidity from 20% to 100% can cause a 100% increase in cooling energy consumption during the high cooling season.

Abdel-Nabi, D.Y.; Zubair, S.M.; Abdelrahman, M.A.; Bahel, V. (Energy Systems Group, Div. of Energy Resources, Research Inst., King Fahd Univ. of Petroleum and Minerals, Dhahran (SA))

1990-01-01T23:59:59.000Z

483

Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting  

Science Journals Connector (OSTI)

Abstract We present a new multiple criteria sorting method deriving from Dominance-based Rough Set Approach (DRSA). The preference information supplied by the Decision Maker (DM) is a set of possibly imprecise and inconsistent assignment examples on a subset of reference alternatives relatively well-known to the DM. To structure the data we use DRSA, and subsequently, represent the assignment examples by all minimal sets of rules covering all alternatives from the lower approximations of class unions. Such a set of rules is called minimal-cover set it is one of the instances of the preference model compatible with DMs preference information. In this way, we implement the principle of Robust Ordinal Regression (ROR) to decision rule preference model. For each alternative, we derive the necessary and possible assignments specifying the range of classes to which the alternative is assigned by all or at least one compatible set of rules, respectively, as well as class acceptability indices. We also introduce the notion of a representative compatible minimal-cover set of rules whose selection builds on the results of ROR, addressing the robustness concern. Application of the approach is demonstrated by classifying 69 land zones in 4 classes representing different risk levels.

Mi?osz Kadzi?ski; Salvatore Greco; Roman S?owi?ski

2014-01-01T23:59:59.000Z

484

An Earned Schedule-based regression model to improve cost estimate at completion  

Science Journals Connector (OSTI)

Abstract Traditional Earned Value Management (EVM) index-based methods for Cost Estimate at Completion (CEAC) of an ongoing project have been known for their limitations inherent with both the assumption that past EVM data is the best available information and early-stage unreliability. In an attempt to overcome such limitations, a new CEAC methodology is proposed based on a modified index-based formula predicting expected cost for the remaining work with the Gompertz growth model via nonlinear regression curve fitting. Moreover, the proposed equation accounts for the schedule progress as a factor of cost performance. To this end, it integrates into its equation an Earned Schedule-based factor indicating expected duration at completion. The proposed model shows itself to be more accurate and precise in all early, middle, and late stage estimates than those of four compared traditional index-based formulae. The developed methodology is a practical tool for Project Managers to better incorporate the progress status into the task of computing CEAC and is a contribution to extending EVM research to better capture the inherent relation between cost and schedule factors.

Timur Narbaev; Alberto De Marco

2014-01-01T23:59:59.000Z

485

Milnor K-theory and the graded representation ring  

E-Print Network [OSTI]

Let F be a field, let G be its absolute Galois group, and let R(G, k) be the representation ring of G over a suitable field k. In this preprint we construct a ring homomorphism from the mod 2 Milnor K-theory k_*(F) to the graded ring gr R(G, k) associated to Grothendieck's \\gamma-filtration. We study this map in particular cases, as well as a related map involving the W-group of F rather than G. The latter is an isomorphism in all cases considered. Naturally this echoes the Milnor conjecture (now a theorem), which states that k_*(F) is isomorphic to the mod 2 cohomology of the absolute Galois group G, and to the graded Witt ring gr W(F). The machinery developed to obtain the above results seems to have independent interest in algebraic topology. We are led to construct an analog of the classical Chern character, which does not involve complex vector bundles and Chern classes but rather real vector bundles and Stiefel-Whitney classes. Thus we show the existence of a ring homomorphism whose source is the graded...

Guillot, Pierre

2011-01-01T23:59:59.000Z

486

Building an MLR Model Building a multiple linear regression (MLR) model from data is one of the  

E-Print Network [OSTI]

Chapter 3 Building an MLR Model Building a multiple linear regression (MLR) model from data is one- imation to the data can be difficult. Model building is an iterative process. Given the problem and data but no model, the model building process can often be aided by graphs that help visualize the relationships

Olive, David

487

Gaussian Process Regression for Vessel Performance Monitoring Benjamin Pjedsted Pedersen, FORCE Technology, Copenhagen/Denmark, bpp@force.dk  

E-Print Network [OSTI]

of fouling has been evaluated by comparing e.g. the actual fuel consumption with a theoretical estimate basedGaussian Process Regression for Vessel Performance Monitoring Benjamin Pjedsted Pedersen, FORCE of the energy consumption on a ship. Using different data sets, from five sister container ships, the method

488

A modelling methodology for the analysis of radon potential based on environmental geology and geographically weighted regression  

Science Journals Connector (OSTI)

Many countries have promoted environmental studies and established national radon programmes in order to identify those geographical areas where high indoor exposure risk of people to this radioactive gas are more likely to be found (often referred to ... Keywords: Environmental geology, Environmental radon potential modelling, Geographically Weighted Regression, Geostatistic, Indoor radon, Local spatial effect

Antonio Pasculli; Sergio Palermi; Annalina Sarra; Tommaso Piacentini; Enrico Miccadei

2014-04-01T23:59:59.000Z

489

Characterization of cataclastic shear-zones of the KTB deep drill hole by regression analysis of drill cuttings data  

Science Journals Connector (OSTI)

......But, they are available in large amounts and statistical regression...applying these methods for borehole data. Conventionally, cataclastic...characterized using visual analysis of borehole data. Peaks in logging data...quantitative basis for analysing the borehole data and give a new perspective......

Helmuth Winter; Susanna Adelhardt; Alexander Jerak; Helmut Kchenhoff

2002-07-01T23:59:59.000Z

490

Development of Land Use Regression Models for elemental, organic carbon, PAH and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas  

Science Journals Connector (OSTI)

Land use regression (LUR) models have been used to model concentrations of mainly traffic related air pollutants (nitrogen oxides (NOx), particulate matter (PM) mass or absorbance). ...

Aleksandra Jedynska; Gerard Hoek; Meng Wang; Marloes Eeftens; Josef Cyrys; Menno Keuken; Christophe Ampe; Rob Beelen; Giulia Cesaroni; Francesco Forastiere; Marta Cirach; Kees de Hoogh; Audrey De Nazelle; Wenche Nystad; Christophe Declercq; Kirsten Thorup Eriksen; Konstantina Dimakopoulou; Timo Lanki; Kees Meliefste; Mark J Nieuwenhuijsen; Tarja Yli-Tuomi; Ole Raaschou-Nielsen; Bert Brunekreef; Ingeborg Kooter

2014-10-15T23:59:59.000Z

491

Young's natural representation of the symmetric groups of degree less than six  

E-Print Network [OSTI]

and Reiner [5]. A few basic definitions are given before introducing the method used. Definition 1. 1. Let (' be a finite group and U an n-dimensional vector space over G, the field of complex numbers. A representation D of the group G..., if only one repre- sentation of a given class is known, others of the class may be obtained by appropriate isomorphic mappings. Definition 1. 5. A representation D is said to be reducible if its representation space U contains a proper i. nvariant...

Swardstrom, Paul David

1967-01-01T23:59:59.000Z

492

Prototype of an adaptive disruption predictor for JET based on fuzzy logic and regression trees  

Science Journals Connector (OSTI)

Disruptions remain one of the most hazardous events in the operation of a tokamak device, since they can cause damage to the vacuum vessel and surrounding structures. Their potential danger increases with the plasma volume and energy content and therefore they will constitute an even more serious issue for the next generation of machines. For these reasons, in the recent years a lot of attention has been devoted to devise predictors, capable of foreseeing the imminence of a disruption sufficiently in advance, to allow time for undertaking remedial actions. In this paper, the results of applying fuzzy logic and classification and regression trees (CART) to the problem of predicting disruptions at JET are reported. The conceptual tools of fuzzy logic, in addition to being well suited to accommodate the opinion of experts even if not formulated in mathematical but linguistic terms, are also fully transparent, since their governing rules are human defined. They can therefore help not only in forecasting disruptions but also in studying their behaviour. The analysis leading to the rules of the fuzzy predictor has been complemented with a systematic investigation of the correlation between the various experimental signals and the imminence of a disruption. This has been performed with an exhaustive, non-linear and unbiased method based on decision trees. This investigation has confirmed that the relative importance of various signals can change significantly depending on the plasma conditions. On the basis of the results provided by CART on the information content of the various quantities, the prototype of an adaptive fuzzy logic predictor was trained and tested on JET database. Its performance is significantly better than the previous static one, proving that more flexible prediction strategies, not uniform over the whole discharge but tuned to the operational region of the plasma at any given time, can be very competitive and should be investigated systematically.

A. Murari; G. Vagliasindi; P. Arena; L. Fortuna; O. Barana; M. Johnson; JET-EFDA Contributors

2008-01-01T23:59:59.000Z

493

Multiscale geometric modeling of macromolecules I: Cartesian representation  

SciTech Connect (OSTI)

This paper focuses on the geometric modeling and computational algorithm development of biomolecular structures from two data sources: Protein Data Bank (PDB) and Electron Microscopy Data Bank (EMDB) in the Eulerian (or Cartesian) representation. Molecular surface (MS) contains non-smooth geometric singularities, such as cusps, tips and self-intersecting facets, which often lead to computational instabilities in molecular simulations, and violate the physical principle of surface free energy minimization. Variational multiscale surface definitions are proposed based on geometric flows and solvation analysis of biomolecular systems. Our approach leads to geometric and potential driven LaplaceBeltrami flows for biomolecular surface evolution and formation. The resulting surfaces are free of geometric singularities and minimize the total free energy of the biomolecular system. High order partial differential equation (PDE)-based nonlinear filters are employed for EMDB data processing. We show the efficacy of this approach in feature-preserving noise reduction. After the construction of protein multiresolution surfaces, we explore the analysis and characterization of surface morphology by using a variety of curvature definitions. Apart from the classical Gaussian curvature and mean curvature, maximum curvature, minimum curvature, shape index, and curvedness are also applied to macromolecular surface analysis for the first time. Our curvature analysis is uniquely coupled to the analysis of electrostatic surface potential, which is a by-product of our variational multiscale solvation models. As an expository investigation, we particularly emphasize the numerical algorithms and computational protocols for practical applications of the above multiscale geometric models. Such information may otherwise be scattered over the vast literature on this topic. Based on the curvature and electrostatic analysis from our multiresolution surfaces, we introduce a new concept, the polarized curvature, for the prediction of protein binding sites.

Xia, Kelin [Department of Mathematics, Michigan State University, MI 48824 (United States)] [Department of Mathematics, Michigan State University, MI 48824 (United States); Feng, Xin [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States)] [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States); Chen, Zhan [Department of Mathematics, Michigan State University, MI 48824 (United States)] [Department of Mathematics, Michigan State University, MI 48824 (United States); Tong, Yiying [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States)] [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States); Wei, Guo-Wei, E-mail: wei@math.msu.edu [Department of Mathematics, Michigan State University, MI 48824 (United States) [Department of Mathematics, Michigan State University, MI 48824 (United States); Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824 (United States)

2014-01-15T23:59:59.000Z

494

Complex-wide representation of material packaged in 3013 containers  

SciTech Connect (OSTI)

The DOE sites packaging plutonium oxide materials packaged according to Department of Energy 3013 Standard (DOE-STD-3013) are responsible for ensuring that the materials are represented by one or more samples in the Materials Identification and Surveillance (MIS) program. The sites categorized most of the materials into process groups, and the remaining materials were characterized, based on the prompt gamma analysis results. The sites issued documents to identify the relationships between the materials packaged in 3013 containers and representative materials in the MIS program. These Represented documents were then reviewed and concurred with by the MIS Working Group. However, these documents were developed uniquely at each site and were issued before completion of sample characterization, small-scale experiments, and prompt gamma analysis, which provided more detailed information about the chemical impurities and the behavior of the material in storage. Therefore, based on the most recent data, relationships between the materials packaged in 3013 containers and representative materials in the MIS program been revised. With the prompt gamma analysis completed for Hanford, Rocky Flats, and Savannah River Site 3013 containers, MIS items have been assigned to the 3013 containers for which representation is based on the prompt gamma analysis results. With the revised relationships and the prompt gamma analysis results, a Master Represented table has been compiled to document the linkages between each 3013 container packaged to date and its representative MIS items. This table provides an important link between the Integrated Surveillance Program database, which contains information about each 3013 container to the MIS items database, which contains the characterization, prompt gamma data, and storage behavior data from shelf-life experiments for the representative MIS items.

Narlesky, Joshua E.; Peppers, Larry G.; Friday, Gary P.

2009-06-01T23:59:59.000Z

495

Structural Topology Optimization Using a Genetic Algorithm and a Morphological Representation of Geometry  

E-Print Network [OSTI]

This paper describes an intuitive way of defining geometry design variables for solving structural topology optimization problems using a genetic algorithm (GA). The geometry representation scheme works by defining a ...

Tai, Kang

496

Probabilistic Representation of the Threat and Consequences of Weapon Attacks on Commercial  

E-Print Network [OSTI]

Probabilistic Representation of the Threat and Consequences of Weapon Attacks on Commercial of the Threat and Consequences of Weapon Attacks on Commercial Aircraft CREATE Report 29 November 2005 John P FLIGHT PATH . . . . . . . . . . . . . . . . . . . . . . . . . . 20 WEAPON LETHALITY MODEL

Wang, Hai

497

CYCLIC SUBSPACES FOR UNITARY REPRESENTATIONS OF LCA GROUPS: GENERALIZED ZAK TRANSFORM  

E-Print Network [OSTI]

CYCLIC SUBSPACES FOR UNITARY REPRESENTATIONS OF LCA GROUPS: GENERALIZED ZAK TRANSFORM EUGENIO HERN-0372790-2799 of the Republic of Croatia. 1 #12;2 EUGENIO HERN´ANDEZ, HRVOJE SIKI´C, GUIDO WEISS, AND EDWARD WILSON abelian (LCA

Hernández, Eugenio

498

Reconstituting representation: the supreme court and the rhetorical controversy over state and congressional redistricting  

E-Print Network [OSTI]

republic to a Constitutional democracy and, further, to debate competing visions of representation and democracy necessary to sustain political life and the democratic experience. Chapter I offers readers a literature review on constitutive rhetoric, a...

Hickey, Jeremiah Peter

2009-05-15T23:59:59.000Z

499

Bourdieuian Analysis on African Americans Under-representation at Parks and Outdoor Recreation  

E-Print Network [OSTI]

This study used Pierre Bourdieus theory of practice and analyzed African Americans under-representation at parks and in outdoor recreation. It focused on Cedar Hill State Park (CHSP) located in Cedar Hill, Texas and investigated local African...

Lee, KangJae

2013-07-18T23:59:59.000Z

500

Behind the screen : [on the perception of computer-generated architectural representations  

E-Print Network [OSTI]

Representations of an architectural space have a diversity of purposes and their implementation should be carefully evaluated in order to be coherent with those objectives. Some of them are analytical descriptions, where ...

Vairani, Franco, 1973-

2001-01-01T23:59:59.000Z