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Note: This page contains sample records for the topic "kernel regression representation" from the National Library of EnergyBeta (NLEBeta).
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1

Efficient approximate leave-one-out cross-validation for kernel logistic regression  

Science Conference Proceedings (OSTI)

Kernel logistic regression (KLR) is the kernel learning method best suited to binary pattern recognition problems where estimates of a-posteriori probability of class membership are required. Such problems occur frequently ... Keywords: Kernel logistic regression, Model selection

Gavin C. Cawley; Nicola L. Talbot

2008-06-01T23:59:59.000Z

2

Regression based D-optimality experimental design for sparse kernel density estimation  

Science Conference Proceedings (OSTI)

This paper derives an efficient algorithm for constructing sparse kernel density (SKD) estimates. The algorithm first selects a very small subset of significant kernels using an orthogonal forward regression (OFR) procedure based on the D-optimality ... Keywords: D-optimality, Optimal experimental design, Orthogonal forward regression, Parzen window estimate, Probability density function, Sparse kernel modelling

S. Chen; X. Hong; C. J. Harris

2010-01-01T23:59:59.000Z

3

Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction  

Science Conference Proceedings (OSTI)

In this paper we present a novel approach for nonlinear time series prediction using Kernel methods. The kernel methods such as Support Vector Machine(SVM) and Support Vector Regression(SVR) deal with nonlinear problems assuming independent and identically ...

Venkataramana B. Kini; C. Chandra Sekhar

2007-03-01T23:59:59.000Z

4

Robust weighted kernel logistic regression in imbalanced and rare events data  

Science Conference Proceedings (OSTI)

Recent developments in computing and technology, along with the availability of large amounts of raw data, have contributed to the creation of many effective techniques and algorithms in the fields of pattern recognition and machine learning. The main ... Keywords: Classification, Endogenous sampling, Kernel methods, Logistic regression, Truncated Newton

Maher Maalouf; Theodore B. Trafalis

2011-01-01T23:59:59.000Z

5

Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy  

Science Conference Proceedings (OSTI)

Non-linear regression based on reproducing kernel Hilbert space (RKHS) has recently become very popular in fitting high-dimensional data. The RKHS formulation provides an automatic dimension reduction of the covariates. This is particularly helpful when ... Keywords: Bayesian prediction, Laplace distribution, Metropolis-Hastings algorithm, Near infrared spectroscopy, Nonlinear regression, Reproducing kernel Hilbert space, Vapnik's ?-insensitive loss

Sounak Chakraborty

2012-09-01T23:59:59.000Z

6

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling  

Science Conference Proceedings (OSTI)

Least squares support vector machines (LSSVM) with Gaussian kernel represent the most used of the kernel methods existing in the literature for regression and time series prediction. These models have a good behaviour for these types of problems due ... Keywords: Kernel methods, Kernel weighted K-Nearest Neighbours, Least squares support vector machines, Parallelization of kernel methods, Specific to problem kernels, Time series modelling

Ginés Rubio; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén

2010-06-01T23:59:59.000Z

7

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

8

Fast computation of geometric moments using a symmetric kernel  

Science Conference Proceedings (OSTI)

This paper presents a novel set of geometric moments with symmetric kernel (SGM) obtained using an appropriate transformation of image coordinates. By using this image transformation, the computational complexity of geometric moments (GM) is reduced ... Keywords: Computation, Efficient representation, Fast computation, Geometric moments with symmetric kernel (SGM), Invariant properties, Numerical instability, Symmetrical property, Zernike moments

Chong-Yaw Wee; Raveendran Paramesran; R. Mukundan

2008-07-01T23:59:59.000Z

9

Density-based logistic regression  

Science Conference Proceedings (OSTI)

This paper introduces a nonlinear logistic regression model for classification. The main idea is to map the data to a feature space based on kernel density estimation. A discriminative model is then learned to optimize the feature weights as well as ... Keywords: density estimation, logistic regression, medical prediction, nonlinear classification

Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo

2013-08-01T23:59:59.000Z

10

Nonextensive entropic kernels  

Science Conference Proceedings (OSTI)

Positive definite kernels on probability measures have been recently applied in structured data classification problems. Some of these kernels are related to classic information theoretic quantities, such as mutual information and the Jensen-Shannon ...

André F. T. Martins; Mário A. T. Figueiredo; Pedro M. Q. Aguiar; Noah A. Smith; Eric P. Xing

2008-07-01T23:59:59.000Z

11

LightWeight KerneL  

NLE Websites -- All DOE Office Websites (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

12

Recent advances in kernel machines  

Science Conference Proceedings (OSTI)

This talk will review recent advances in the kernel methods focusing on support vector machines (SVM) for pattern recognition. Topics discussed include the kernel design issue through the multi kernel approach and the optimization issue with emphasis ...

Stéphane Canu

2010-11-01T23:59:59.000Z

13

Adaptive kernel principal component analysis  

Science Conference Proceedings (OSTI)

An adaptive kernel principal component analysis (AKPCA) method, which has the flexibility to accurately track the kernel principal components (KPC), is presented. The contribution of this paper may be divided into two parts. First, KPC are recursively ... Keywords: Adaptive method, Kernel principal component, Kernel principal component analysis, Non-stationary data, Recursive algorithm

Mingtao Ding; Zheng Tian; Haixia Xu

2010-05-01T23:59:59.000Z

14

Asymptotic confidence intervals for Poisson regression  

Science Conference Proceedings (OSTI)

Let (X,Y) be a R^dxN"0-valued random vector where the conditional distribution of Y given X=x is a Poisson distribution with mean m(x). We estimate m by a local polynomial kernel estimate defined by maximizing a localized log-likelihood function. We ... Keywords: 62G08, 62G15, 65H12, Confidence interval, Local polynomial kernel estimate, Poisson regression

Michael Kohler; Adam Krzy?ak

2007-05-01T23:59:59.000Z

15

Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra  

Science Conference Proceedings (OSTI)

Fourier transform near-infrared (FT-NIR) technique is an effective approach to predict chemical properties and can be applied to online monitoring in bio-energy industry. High dimensionality and collinearity of the FT-NIR spectral data makes it difficult ... Keywords: Fourier transform near-infrared spectra, Kernel partial least squares regression, Kernel ridge regression, Reproducing kernel Hilbert space, Vertical energy thresholding technique, Wavelet transform

Jong I. Park; Lu Liu; X. Philip Ye; Myong K. Jeong; Young-Seon Jeong

2012-01-01T23:59:59.000Z

16

Kernel Optimizations in SORD  

NLE Websites -- All DOE Office Websites (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

17

Macroeconomic Activity Module (Mam) 1998 (Kernel Regression), Model Documentation  

Reports and Publications (EIA)

The Macroeconomic Activity Module (MAM) serves two functions within the National Energy Modeling System (NEMS). First, it provides consistent sets of baselines macroeconomic variables (GDP and components, aggregate prices, interest rates, industrial output, housing starts, commercial floorspace, newcar sales, etc.) which are used by the supply, demand and conversion modules in reaching an energy market equilibrium. Second, it is designed to provide a feedback mechanism that alters the baseline variables during the course of an integrated NEMS run.

Ron Earley

1998-10-01T23:59:59.000Z

18

Multiple kernel learning with gaussianity measures  

Science Conference Proceedings (OSTI)

Kernel methods are known to be effective for nonlinear multivariate analysis. One of the main issues in the practical use of kernel methods is the selection of kernel. There have been a lot of studies on kernel selection and kernel learning. Multiple ...

Hideitsu Hino; Nima Reyhani; Noboru Murata

2012-07-01T23:59:59.000Z

19

Better bases for kernel spaces  

E-Print Network (OSTI)

In this article we investigate the feasibility of constructing stable, local bases for computing with kernels. In particular, we are interested in constructing families $(b_{\\xi})_{\\xi\\in\\Xi}$ that function as bases for kernel spaces $S(k,\\Xi)$ so that each basis function is constructed using very few kernels. In other words, each function $b_{\\zeta}(x) = \\sum_{\\xi\\in\\Xi} A_{\\zeta,\\xi} k(x,\\xi)$ is a linear combination of samples of the kernel with few nonzero coefficients $A_{\\zeta,\\xi}$. This is reminiscent of the construction of the B-spline basis from the family of truncated power functions. We demonstrate that for a large class of kernels (the Sobolev kernels as well as many kernels of polyharmonic and related type) such bases exist. In fact, the basis elements can be constructed using a combination of roughly $O(\\log N)^d$ kernels, where $d$ is the local dimension of the manifold and $N$ is the dimension of the kernel space (i.e. $N=#\\Xi$). Viewing this as a preprocessing step -- the construction of the...

Fuselier, E J; Narcowich, F J; Ward, J D; Wright, G B

2011-01-01T23:59:59.000Z

20

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

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

Sparse RBF Networks with Multi-kernels  

Science Conference Proceedings (OSTI)

While the conventional standard radial basis function (RBF) networks are based on a single kernel, in practice, it is often desirable to base the networks on combinations of multiple kernels. In this paper, a multi-kernel function is introduced by combining ... Keywords: Multi-kernel, Neural networks, Nonlinear system identification, Radial function basis

Lihua Fu; Meng Zhang; Hongwei Li

2010-12-01T23:59:59.000Z

22

First–Order Representations of Discrete Linear MultidimensionalSystems  

Science Conference Proceedings (OSTI)

The classical local state–space models for discrete multidimensional linear systems, as proposed by Roesser or Fornasini and Marchesini, require causality of the resulting transfer matrices. We consider a generalization comprising non-causal ... Keywords: (Laurent) polynomial matrices, behavior, first–, input–, kernel and image representation, linear fractional transformation, minimality, order representation, output structure, properness

Eva Zerz

2000-10-01T23:59:59.000Z

23

Heat kernel expansion: user's manual  

E-Print Network (OSTI)

The heat kernel expansion is a very convenient tool for studying one-loop divergences, anomalies and various asymptotics of the effective action. The aim of this report is to collect useful information on the heat kernel coefficients scattered in mathematical and physical literature. We present explicit expressions for these coefficients on manifolds with and without boundaries, subject to local and non-local boundary conditions, in the presence of various types of singularities (e.g., domain walls). In each case the heat kernel coefficients are given in terms of several geometric invariants. These invariants are derived for scalar and spinor theories with various interactions, Yang-Mills fields, gravity, and open bosonic strings. We discuss the relations between the heat kernel coefficients and quantum anomalies, corresponding anomalous actions, and covariant perturbation expansions of the effective action (both "low-" and "high-energy" ones).

D. V. Vassilevich

2003-06-15T23:59:59.000Z

24

Blind multiuser detection based on kernel approximation  

Science Conference Proceedings (OSTI)

A kernel based multiuser detection (MUD) scheme in code-division multiple-access (CDMA) system is proposed. In this scheme, the support vector (SV) under support vector (SVM) framework is obtained through a kernel sparsity approximation, which regulates ...

Tao Yang; Bo Hu

2006-05-01T23:59:59.000Z

25

Forecasting foreign exchange rates using kernel methods  

Science Conference Proceedings (OSTI)

First, the all-important no free lunch theorems are introduced. Next, kernel methods, support vector machines (SVMs), preprocessing, model selection, feature selection, SVM software and the Fisher kernel are introduced and discussed. A hidden Markov ... Keywords: Forecasting, Foreign exchange, Kernel methods

Martin Sewell; John Shawe-Taylor

2012-07-01T23:59:59.000Z

26

Structural Modelling with Sparse Kernels  

Science Conference Proceedings (OSTI)

A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A number of new concepts and algorithms have been introduced by researchers to ... Keywords: ANOVA, Kernel methods, model interpretability, sparse structure, transparency

S. R. Gunn; J. S. Kandola

2002-09-01T23:59:59.000Z

27

Cold-moderator scattering kernel methods  

SciTech Connect

An accurate representation of the scattering of neutrons by the materials used to build cold sources at neutron scattering facilities is important for the initial design and optimization of a cold source, and for the analysis of experimental results obtained using the cold source. In practice, this requires a good representation of the physics of scattering from the material, a method to convert this into observable quantities (such as scattering cross sections), and a method to use the results in a neutron transport code (such as the MCNP Monte Carlo code). At Los Alamos, the authors have been developing these capabilities over the last ten years. The final set of cold-moderator evaluations, together with evaluations for conventional moderator materials, was released in 1994. These materials have been processed into MCNP data files using the NJOY Nuclear Data Processing System. Over the course of this work, they were able to develop a new module for NJOY called LEAPR based on the LEAP + ADDELT code from the UK as modified by D.J. Picton for cold-moderator calculations. Much of the physics for methane came from Picton`s work. The liquid hydrogen work was originally based on a code using the Young-Koppel approach that went through a number of hands in Europe (including Rolf Neef and Guy Robert). It was generalized and extended for LEAPR, and depends strongly on work by Keinert and Sax of the University of Stuttgart. Thus, their collection of cold-moderator scattering kernels is truly an international effort, and they are glad to be able to return the enhanced evaluations and processing techniques to the international community. In this paper, they give sections on the major cold moderator materials (namely, solid methane, liquid methane, and liquid hydrogen) using each section to introduce the relevant physics for that material and to show typical results.

MacFarlane, R.E.

1998-08-01T23:59:59.000Z

28

Enhanced representation and multi-task learning for image annotation  

Science Conference Proceedings (OSTI)

In this paper we propose a novel biased random sampling strategy for image representation in Bag-of-Words models. We evaluate its impact on the feature properties and the ranking quality for a set of semantic concepts and show that it improves performance ... Keywords: Bag-of-Words representation, Biased random sampling, Image classification, Image ranking, ImageCLEF, Multi task learning, Multiple kernel learning, Mutual information

Alexander Binder; Wojciech Samek; Klaus-Robert MüLler; Motoaki Kawanabe

2013-05-01T23:59:59.000Z

29

Reproducing kernels of Sobolev spaces via a green kernel approach with differential operators and boundary operators  

Science Conference Proceedings (OSTI)

We introduce a vector differential operator P and a vector boundary operator B to derive a reproducing kernel along with its associated Hilbert space which is shown to be embedded in a ... Keywords: 41A30, 65D05, Boundary operator, Differential operator, Eigenfunction, Eigenvalue, Green kernel, Reproducing kernel

Gregory E. Fasshauer; Qi Ye

2013-05-01T23:59:59.000Z

30

A Fourier-series-based kernel-independent fast multipole method  

SciTech Connect

We present in this paper a new kernel-independent fast multipole method (FMM), named as FKI-FMM, for pairwise particle interactions with translation-invariant kernel functions. FKI-FMM creates, using numerical techniques, sufficiently accurate and compressive representations of a given kernel function over multi-scale interaction regions in the form of a truncated Fourier series. It provides also economic operators for the multipole-to-multipole, multipole-to-local, and local-to-local translations that are typical and essential in the FMM algorithms. The multipole-to-local translation operator, in particular, is readily diagonal and does not dominate in arithmetic operations. FKI-FMM provides an alternative and competitive option, among other kernel-independent FMM algorithms, for an efficient application of the FMM, especially for applications where the kernel function consists of multi-physics and multi-scale components as those arising in recent studies of biological systems. We present the complexity analysis and demonstrate with experimental results the FKI-FMM performance in accuracy and efficiency.

Zhang Bo, E-mail: zhangb@cs.duke.edu [Department of Computer Science, Duke University, Durham, NC 27708 (United States); Huang Jingfang, E-mail: huang@amath.unc.edu [Department of Mathematics, University of North Carolina at Chapel Hill, CB 3250, Phillips Hall, Chapel Hill, NC 27599 (United States); Pitsianis, Nikos P., E-mail: nikos.pitsianis@eng.auth.gr [Department of Computer Science, Duke University, Durham, NC 27708 (United States); Department of Electrical and Computer Engineering, Aristotle University, Thessaloniki 54124 (Greece); Sun Xiaobai, E-mail: xiaobai@cs.duke.edu [Department of Computer Science, Duke University, Durham, NC 27708 (United States)

2011-07-01T23:59:59.000Z

31

LightWeight KerneL  

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

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,...

32

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

Open Energy Info (EERE)

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

33

Intel's Math Kernel Library (MKL) at NERSC  

NLE Websites -- All DOE Office Websites (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

34

Indefinite kernel fuzzy c-means clustering algorithms  

Science Conference Proceedings (OSTI)

This paper proposes two types of kernel fuzzy c-means algorithms with an indefinite kernel. Both algorithms are based on the fact that the relational fuzzy c-means algorithm is a special case of the kernel fuzzy c-means algorithm. ... Keywords: indefinite kernel, kernel fuzzy c-means, non-euclidean fuzzy relational clustering, non-euclidean relational fuzzy c-means

Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto

2010-10-01T23:59:59.000Z

35

EPACT Representation  

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

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

36

Advanced Development of Certified OS Kernels  

E-Print Network (OSTI)

Operating System (OS) kernels form the bedrock of all system software—they can have the greatest impact on the resilience, extensibility, and security of today’s computing hosts. A single kernel bug can easily wreck the entire system’s integrity and protection. We propose to apply new advances in certified software [86] to the development of a novel OS kernel. Our certified kernel will offer safe and application-specific extensibility [8], provable security properties with information flow control, and accountability and recovery from hardware or application failures. Our certified kernel builds on proof-carrying code concepts [74], where a binary executable includes a rigorous machine-checkable proof that the software is free of bugs with respect to specific requirements. Unlike traditional verification systems, our certified software approach uses an expressive general-purpose meta-logic and machine-checkable proofs to support modular reasoning about sophisticated invariants. The rich meta-logic enables us to verify all kinds of low-level

Zhong Shao (pi; Bryan Ford (co-pi

2010-01-01T23:59:59.000Z

37

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

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

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

38

Fabrication of Uranium Oxycarbide Kernels for HTR Fuel  

Science Conference Proceedings (OSTI)

Babcock and Wilcox (B&W) has been producing high quality uranium oxycarbide (UCO) kernels for Advanced Gas Reactor (AGR) fuel tests at the Idaho National Laboratory. In 2005, 350-µm, 19.7% 235U-enriched UCO kernels were produced for the AGR-1 test fuel. Following coating of these kernels and forming the coated-particles into compacts, this fuel was irradiated in the Advanced Test Reactor (ATR) from December 2006 until November 2009. B&W produced 425-µm, 14% enriched UCO kernels in 2008, and these kernels were used to produce fuel for the AGR-2 experiment that was inserted in ATR in 2010. B&W also produced 500-µm, 9.6% enriched UO2 kernels for the AGR-2 experiments. Kernels of the same size and enrichment as AGR-1 were also produced for the AGR-3/4 experiment. In addition to fabricating enriched UCO and UO2 kernels, B&W has produced more than 100 kg of natural uranium UCO kernels which are being used in coating development tests. Successive lots of kernels have demonstrated consistent high quality and also allowed for fabrication process improvements. Improvements in kernel forming were made subsequent to AGR-1 kernel production. Following fabrication of AGR-2 kernels, incremental increases in sintering furnace charge size have been demonstrated. Recently small scale sintering tests using a small development furnace equipped with a residual gas analyzer (RGA) has increased understanding of how kernel sintering parameters affect sintered kernel properties. The steps taken to increase throughput and process knowledge have reduced kernel production costs. Studies have been performed of additional modifications toward the goal of increasing capacity of the current fabrication line to use for production of first core fuel for the Next Generation Nuclear Plant (NGNP) and providing a basis for the design of a full scale fuel fabrication facility.

Charles Barnes; CLay Richardson; Scott Nagley; John Hunn; Eric Shaber

2010-10-01T23:59:59.000Z

39

The Daemon Kernel of the Sun  

E-Print Network (OSTI)

The daemon-stimulated proton decay is capable of providing an appreciable part of the Sun luminosity as well as nonelectron flavor component in the solar neutrino flux. This follows (1) from our experiments on detection of negative daemons in Earth-crossing orbits, which give ~1 microsec for the decay time of a daemon-containing proton, and (2) from an estimate of the total number of daemons which could be captured by the Sun from the Galactic disk (up to \\~2.4E30). Because of their huge mass (~3E-5 g), the captured daemons form in the Sun's center a kernel a few cm in size. The protons diffuse into the kernel to decay there with a release of energy. Physically sound estimates of the parameters of the kernel can be obtained if it consists mainly of negative daemons. Proton decay maintains a high temperature of the daemon gas (up to \\~1E11-1E12 K), which makes it physically collisionless and prevents kernel collapse into a black hole.

E. M. Drobyshevski

2002-05-21T23:59:59.000Z

40

Spark Ignited Turbulent Flame Kernel Growth  

DOE Green Energy (OSTI)

An experimental study of the effects of spark power and of incomplete fuel-air mixing on spark-ignited flame kernel growth was conducted in turbulent propane-air mixtures at 1 atm, 300K conditions. The results showed that increased spark power resulted in an increased growth rate, where the effect of short duration breakdown sparks was found to persist for times of the order of milliseconds. The effectiveness of increased spark power was found to be less at high turbulence and high dilution conditions. Increased spark power had a greater effect on the 0-5 mm burn time than on the 5-13 mm burn time, in part because of the effect of breakdown energy on the initial size of the flame kernel. And finally, when spark power was increased by shortening the spark duration while keeping the effective energy the same there was a significant increase in the misfire rate, however when the spark power was further increased by increasing the breakdown energy the misfire rate dropped to zero. The results also showed that fluctuations in local mixture strength due to incomplete fuel-air mixing cause the flame kernel surface to become wrinkled and distorted; and that the amount of wrinkling increases as the degree of incomplete fuel-air mixing increases. Incomplete fuel-air mixing was also found to result in a significant increase in cyclic variations in the flame kernel growth. The average flame kernel growth rates for the premixed and the incompletely mixed cases were found to be within the experimental uncertainty except for the 33%-RMS-fluctuation case where the growth rate was significantly lower. The premixed and 6%-RMS-fluctuation cases had a 0% misfire rate. The misfire rates were 1% and 2% for the 13%-RMS-fluctuation and 24%-RMS-fluctuation cases, respectively; however, it drastically increased to 23% in the 33%-RMS-fluctuation case.

Santavicca, D.A.

1995-06-01T23:59:59.000Z

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.


41

PERI Auto-tuning Memory Intensive Kernels  

NLE Websites -- All DOE Office Websites (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

42

Analyzing Regression Test Selection Techniques  

Science Conference Proceedings (OSTI)

Abstract¿Regression testing is a necessary but expensive maintenance activity aimed at showing that code has not been adversely affected by changes. Regression test selection techniques reuse tests from an existing test suite to test a modified program. ... Keywords: Software maintenance, regression testing, selective retest, regression test selection.

Gregg Rothermel; Mary Jean Harrold

1996-08-01T23:59:59.000Z

43

Aerial Scene Recognition using Efficient Sparse Representation  

SciTech Connect

Advanced scene recognition systems for processing large volumes of high-resolution aerial image data are in great demand today. However, automated scene recognition remains a challenging problem. Efficient encoding and representation of spatial and structural patterns in the imagery are key in developing automated scene recognition algorithms. We describe an image representation approach that uses simple and computationally efficient sparse code computation to generate accurate features capable of producing excellent classification performance using linear SVM kernels. Our method exploits unlabeled low-level image feature measurements to learn a set of basis vectors. We project the low-level features onto the basis vectors and use simple soft threshold activation function to derive the sparse features. The proposed technique generates sparse features at a significantly lower computational cost than other methods~\\cite{Yang10, newsam11}, yet it produces comparable or better classification accuracy. We apply our technique to high-resolution aerial image datasets to quantify the aerial scene classification performance. We demonstrate that the dense feature extraction and representation methods are highly effective for automatic large-facility detection on wide area high-resolution aerial imagery.

Cheriyadat, Anil M [ORNL

2012-01-01T23:59:59.000Z

44

Efficient semantic kernel-based text classification using matching pursuit KFDA  

Science Conference Proceedings (OSTI)

A number of powerful kernel-based learning machines, such as support vector machines (SVMs), kernel Fisher discriminant analysis (KFDA), have been proposed with competitive performance. However, directly applying existing attractive kernel approaches ... Keywords: efficient text classification, kernel method, matching pursuit KFDA, semantic kernel

Qing Zhang; Jianwu Li; Zhiping Zhang

2011-11-01T23:59:59.000Z

45

U-175: Linux Kernel KVM Memory Slot Management Flaw  

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

46

Induction of robust classifiers for web ontologies through kernel machines  

Science Conference Proceedings (OSTI)

The paper focuses on the task of approximate classification of semantically annotated individual resources in ontological knowledge bases. The method is based on classification models built through kernel methods, a well-known class of effective statistical ... Keywords: Individual classification, Inductive reasoning, Kernel methods, Ontology mining, Similarity, Support vector machines

Nicola Fanizzi; Claudia d'Amato; Floriana Esposito

2012-03-01T23:59:59.000Z

47

Locking in the multithreaded FreeBSD kernel  

Science Conference Proceedings (OSTI)

About a year ago, the FreeBSD Project embarked on the ambitious task of multithreading its kernel. The primary goal of this project is to improve performance on multiprocessor (MP) systems by allowing concurrent access to the kernel while not drastically ...

John H. Baldwin

2002-02-01T23:59:59.000Z

48

Commute-time convolution kernels for graph clustering  

Science Conference Proceedings (OSTI)

Commute time has proved to be a powerful attribute for clustering and characterising graph structure, and which is easily computed from the Laplacian spectrum. Moreover, commute time is robust to deletions of random edges and noisy edge weights. In this ... Keywords: commute times, convolution kernel, graph kernel, laplacian

Normawati A. Rahman; Edwin R. Hancock

2010-08-01T23:59:59.000Z

49

Training of support vector machines with Mahalanobis kernels  

Science Conference Proceedings (OSTI)

Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin parameter by time-consuming cross validation. To solve this problem, in this paper we propose ...

Shigeo Abe

2005-09-01T23:59:59.000Z

50

An Evaluation Framework for Kernel-Mode Security Modules  

Science Conference Proceedings (OSTI)

Kernel-mode security enhancement technologies are widely used to improve the efficiency of data processing and the security of data and operating systems in recent years. However, the security modules have been implemented without consolidated standards, ... Keywords: evaluation, Kernel-mode, Security Module, interface

Hui Zhang; Shenghong Chen; Yuqin Sun; Xiamu Niu

2008-08-01T23:59:59.000Z

51

Nonparametric comparison of regression functions  

Science Conference Proceedings (OSTI)

In this work, we provide a new methodology for comparing regression functions m"1 and m"2 from two samples. Since apart from smoothness no other (parametric) assumptions are required, our approach is based on a comparison of nonparametric estimators ... Keywords: 60G10, 62G08, Maximin test, Nonparametric regression, Test of equality

Ramidha Srihera; Winfried Stute

2010-10-01T23:59:59.000Z

52

A novel ant-based clustering algorithm using the kernel method  

Science Conference Proceedings (OSTI)

A novel ant-based clustering algorithm integrated with the kernel (ACK) method is proposed. There are two aspects to the integration. First, kernel principal component analysis (KPCA) is applied to modify the random projection of objects when the algorithm ... Keywords: Ant-based clustering, Kernel, Kernel principal component analysis, Swarm intelligence

Lei Zhang; Qixin Cao

2011-10-01T23:59:59.000Z

53

The Diffusion Kernel Filter Applied to Lagrangian Data Assimilation  

Science Conference Proceedings (OSTI)

The diffusion kernel filter is a sequential particle-method approach to data assimilation of time series data and evolutionary models. The method is applicable to nonlinear/non-Gaussian problems. Within branches of prediction it parameterizes ...

Paul Krause; Juan M. Restrepo

2009-12-01T23:59:59.000Z

54

A linux kernel cryptographic framework: decoupling cryptographic keys from applications  

Science Conference Proceedings (OSTI)

This paper describes a cryptographic service framework for the Linux kernel. The framework enables user-space applications to perform operations with cryptographic keys, while at the same time ensuring that applications cannot directly access or extract ...

Nikos Mavrogiannopoulos; Miloslav Trma?; Bart Preneel

2012-03-01T23:59:59.000Z

55

A CCA-compliant nuclear power plant simulator kernel  

Science Conference Proceedings (OSTI)

This paper presents a parallel, component-oriented nuclear power plant simulator kernel. It is based on the high-performance computing oriented Common Component Architecture. The approach takes advantage of both the component paradigm and the parallel ...

Manuel Díaz; Daniel Garrido; Sergio Romero; Bartolomé Rubio; Enrique Soler; José M. Troya

2005-05-01T23:59:59.000Z

56

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

57

Rationality without representation  

E-Print Network (OSTI)

This dissertation is about whether and how non-representational attitudes could play a role in our theories of rationality. In Chapter 1 ('Negation, expressivism, and intentionality') I argue that the best explanation for ...

Pérez Carballo, Alejandro

2011-01-01T23:59:59.000Z

58

Capacities associated with scalar signed Riesz kernels, and analytic capacity  

E-Print Network (OSTI)

The real and imaginari parts of the Cauchy kernel in the plane are scalar Riesz kernels of homogeneity -1. One can associate with each of them a natural notion of capacity related to bounded potentials. The main result of the paper asserts that these capacities are comparable to classical analytic capacity, thus stressing the real variables nature of analytic capacity. Higher dimensional versions of this result are also considered.

Mateu, Joan; Verdera, Joan

2010-01-01T23:59:59.000Z

59

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

60

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

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

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.

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

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

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

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

62

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

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

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

63

Regression benchmarking with simple middleware benchmarks  

E-Print Network (OSTI)

The paper introduces the concept of regression benchmarking as a variant of regression testing focused at detecting performance regressions. Applying the regression benchmarking in the area of middleware development, the paper explains how regression benchmarking differs from middleware benchmarking in general. On a real-world example of TAO, the paper shows why the existing benchmarks do not give results sufficient for regression benchmarking, and proposes techniques for detecting performance regressions using simple benchmarks. 1.

Lubomír Bulej; Tomáš Kalibera; Petr T?ma

2004-01-01T23:59:59.000Z

64

Umbra's system representation.  

SciTech Connect

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

65

A Bayesian Framework for Multimodel Regression  

Science Conference Proceedings (OSTI)

This paper presents a framework based on Bayesian regression and constrained least squares methods for incorporating prior beliefs in a linear regression problem. Prior beliefs are essential in regression theory when the number of predictors is ...

Timothy DelSole

2007-06-01T23:59:59.000Z

66

Using gprof to Tune the 4.2BSD Kernel  

E-Print Network (OSTI)

This paper describes how the gprof profiler accounts for the running time of called routines in the running time of the routines that call them. It then explains how to configure a profiling kernel on the 4.2 Berkeley Software Distribution of UNIX ® for the VAX‡ and discusses tradeoffs in techniques for collecting profile data. Gprof identifies problems that severely affects the overall performance of the kernel. Once a potential problem areas is identified benchmark programs are devised to highlight the bottleneck. These benchmarks verify that the problem exist and provide a metric against which to validate proposed solutions. Tw o caches are added to the kernel to alleviate the bottleneck and gprof is used to validates their effectiveness. ‡ VAX is a trademark of Digital Equipment Corporation.

Marshall Kirk Mckusick

1984-01-01T23:59:59.000Z

67

Semantic knowledge representation and analysis  

E-Print Network (OSTI)

Natural language is the means through which humans convey meaning to each other - each word or phrase is a label, or name, for an internal representation of a concept. This internal representation is built up from repeated ...

Kachintseva, Dina (Dina D.)

2011-01-01T23:59:59.000Z

68

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

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

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

69

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

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

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

70

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

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

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.

71

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

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

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.

72

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

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

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.

73

Modeling the Distribution of Precipitation Forecasts from the Canadian Ensemble Prediction System Using Kernel Density Estimation  

Science Conference Proceedings (OSTI)

Kernel density estimation is employed to fit smooth probabilistic models to precipitation forecasts of the Canadian ensemble prediction system. An intuitive nonparametric technique, kernel density estimation has become a powerful tool widely used ...

Syd Peel; Laurence J. Wilson

2008-08-01T23:59:59.000Z

74

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

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

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...

75

Dataflow-driven GPU performance projection for multi-kernel transformations  

Science Conference Proceedings (OSTI)

Applications often have a sequence of parallel operations to be offloaded to graphics processors; each operation can become an individual GPU kernel. Developers typically explore a variety of transformations for each kernel. Furthermore, it is well known ...

Jiayuan Meng; Vitali A. Morozov; Venkatram Vishwanath; Kalyan Kumaran

2012-11-01T23:59:59.000Z

76

Gauge theory and group representations  

SciTech Connect

The mathematical foundations of gauge theories based on indecomposable representations of space-time symmetry groups are investigated. In particular, twistors and singletons are given a uniform treatment as gauge theories of this type. This is a step toward geometrically unifying all representation based gauge theories. In addition, some implications with respect to the geometric construction of group representations are noted.

Nakashima, M.M.

1988-01-01T23:59:59.000Z

77

Multiscale Curvature-Based Shape Representation Using B-spline Wavelets  

E-Print Network (OSTI)

This paper presents a new multiscale curvature-based shape representation technique with application to curve data compression using B-spline wavelets. The properties and behavior of evolving curves in B-spline scale-space are investigated. They are shown to be similar to that in Gaussian scale-space, but B-spline representation enjoys a number of advantages over Gaussian kernels, for instance, the availability of fast algorithms. As an application of the multiscale shape representation, we introduce an algorithm and present some illustrative examples on curve data compression. The B-spline wavelet transforms are used to estimate efficiently the multiscale curvature functions. Based on the curvature scale-space image, we introduce a coarse-to-fine matching algorithm to automatically detect the dominant points and use them as control knots for curve interpolation. Keywords: B-spline, diffusion equation, curve evolution, curvature function, curve fitting. EDICS category: 1.6, 1.8, 3.4 ...

Yu-Ping Wang; S.L. Lee; K. Torachi

1999-01-01T23:59:59.000Z

78

Feasibility of impact-acoustic emissions for detection of damaged wheat kernels  

Science Conference Proceedings (OSTI)

A non-destructive, real time device was developed to detect insect damage, sprout damage, and scab damage in kernels of wheat. Kernels are impacted onto a steel plate and the resulting acoustic signal analyzed to detect damage. The acoustic signal was ... Keywords: Acoustic emissions, Insect damage kernels, Neural network, Sorting, Spectral analysis

Tom C. Pearson; A. Enis Cetin; Ahmed H. Tewfik; Ron P. Haff

2007-05-01T23:59:59.000Z

79

Computer vision algorithm for barley kernel identification, orientation estimation and surface structure assessment  

Science Conference Proceedings (OSTI)

This paper presents an algorithm for analyzing barley kernel images to evaluate cereal grain quality and perform grain classification. The input data comprised digital images of kernels obtained from an optical scanner. The algorithm identified individual ... Keywords: Automated kernel grading, Cereal grain classification, Digital image analysis

Piotr M. Szczypi?Ski; Piotr Zapotoczny

2012-09-01T23:59:59.000Z

80

Noise-robust edge detector combining isotropic and anisotropic Gaussian kernels  

Science Conference Proceedings (OSTI)

A new noise-robust edge detector is proposed, which combines a small-scaled isotropic Gaussian kernel and large-scaled anisotropic Gaussian kernels (ANGKs) to obtain edge maps of images. Its main advantage is that noise reduction is attained while maintaining ... Keywords: Anisotropic Gaussian kernels (ANGKs), Anisotropic directional derivatives, Edge detection, Edge resolution, Edge stretch effect

Peng-Lang Shui; Wei-Chuan Zhang

2012-02-01T23:59:59.000Z

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.


81

A Bayesian approach to bandwidth selection for multivariate kernel density estimation  

Science Conference Proceedings (OSTI)

Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its univariate counterpart. The lower level of interest in multivariate kernel ... Keywords: Cross-validation, Kullback-Leibler information, Mean integrated squared errors, Monte Carlo kernel likelihood, Sampling algorithms

Xibin Zhang; Maxwell L. King; Rob J. Hyndman

2006-07-01T23:59:59.000Z

82

What if you could actually trust your kernel?  

Science Conference Proceedings (OSTI)

The advent of formally verified OS kernels means that for the first time we have a truly trustworthy foundation for systems. In this paper we explore the design space this opens up. The obvious applications are in security, although not all of them are ...

Gernot Heiser; Leonid Ryzhyk; Michael Von Tessin; Aleksander Budzynowski

2011-05-01T23:59:59.000Z

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

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

85

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.

Fan, Hong-yi

2009-01-01T23:59:59.000Z

86

Maximum a posteriori based kernel classifier trained by linear programming  

Science Conference Proceedings (OSTI)

We propose a new approach for classification problem based on the maximum a posteriori (MAP) estimation. The necessary and sufficient condition for the cost function to estimate a posteriori probability was obtained. It was clarified by the condition ... Keywords: cost function, kernel function, linear programming, maximum a posteriori

Nopriadi Nopriadi; Yukihiko Yamashita

2010-08-01T23:59:59.000Z

87

Kernel principal component analysis for stochastic input model generation  

Science Conference Proceedings (OSTI)

Stochastic analysis of random heterogeneous media provides useful information only if realistic input models of the material property variations are used. These input models are often constructed from a set of experimental samples of the underlying random ... Keywords: Data-driven models, Flow in random porous media, Kernel principal component analysis, Non-linear model reduction, Stochastic partial differential equations

Xiang Ma; Nicholas Zabaras

2011-08-01T23:59:59.000Z

88

Efficient and effective automated surveillance agents using kernel tricks  

Science Conference Proceedings (OSTI)

Many schemes have been presented over the years to develop automated visual surveillance systems. However, these schemes typically need custom equipment, or involve significant complexity and storage requirements. In this paper we present three software-based ... Keywords: agent, automated, camera, intrusion, kernel, surveillance

Tarem Ahmed, Xianglin Wei, Supriyo Ahmed, Al-Sakib Khan Pathan

2013-05-01T23:59:59.000Z

89

Dead or Alive: finding zombie features in the Linux kernel  

Science Conference Proceedings (OSTI)

Variability management in operating systems is an error-prone and tedious task. This is especially true for the Linux operating system, which provides a specialized tool called Kconfig for users to customize kernels from an impressive amount of ... Keywords: Linux, features, language, preprocessor, software product lines, tool support

Reinhard Tartler; Julio Sincero; Wolfgang Schröder-Preikschat; Daniel Lohmann

2009-10-01T23:59:59.000Z

90

Multiclass Kernel-Imbedded Gaussian Processes for Microarray Data Analysis  

Science Conference Proceedings (OSTI)

Identifying significant differentially expressed genes of a disease can help understand the disease at the genomic level. A hierarchical statistical model named multiclass kernel-imbedded Gaussian process (mKIGP) is developed under a Bayesian framework ... Keywords: Gene expression, Gaussian processes, Monte Carlo methods, nonlinear multiclass systems.

Xin Zhao; Leo Wang-Kit Cheung

2011-07-01T23:59:59.000Z

91

A dynamic aspect-oriented system for OS kernels  

Science Conference Proceedings (OSTI)

We propose a dynamic aspect-oriented system for operating system (OS) kernels written in the C language. Unlike other similar systems, our system named KLASY allows the users to pointcut not only function calls but also member accesses to structures. ... Keywords: Linux, aspect-oriented programming, dynamic AOP, operating system, profiling and debugging

Yoshisato Yanagisawa; Kenichi Kourai; Shigeru Chiba

2006-10-01T23:59:59.000Z

92

Generalized holomorphic Szegö kernel in 3D spheroids  

Science Conference Proceedings (OSTI)

Monogenic orthogonal polynomials over 3D prolate spheroids were previously introduced and shown to have some remarkable properties. In particular, the underlying functions take values in the quaternions (identified with R^4), and are generally assumed ... Keywords: Chebyshev polynomials, Ferrer's associated Legendre functions, Hyperbolic functions, Prolate spheroidal monogenics, Quaternion analysis, Szegö kernel function

J. Morais; K. I. Kou; W. SpröíIg

2013-02-01T23:59:59.000Z

93

Measurement Denoising Using Kernel Adaptive Filters in the Smart Grid  

E-Print Network (OSTI)

Measurement Denoising Using Kernel Adaptive Filters in the Smart Grid Zhe Chen and Robert C. Qiu@ieee.org, rqiu@tntech.edu Abstract--State estimation plays an important role in the smart grid. Conventionally, noisy measurements are directly used for state estimation. Today, in the context of the smart grid

Qiu, Robert Caiming

94

Computer aided surface representation  

Science Conference Proceedings (OSTI)

The central research problem of this project is the effective representation, computation, and display of surfaces interpolating to information in three or more dimensions. If the given information is located on another surface, then the problem is to construct a surface defined on a surface''. Sometimes properties of an already defined surface are desired, which is geometry processing''. Visualization of multivariate surfaces is possible by means of contouring higher dimensional surfaces. These problems and more are discussed below. The broad sweep from constructive mathematics through computational algorithms to computer graphics illustrations is utilized in this research. The breadth and depth of this research activity makes this research project unique.

Barnhill, R.E.

1990-02-19T23:59:59.000Z

95

Graphical Representation of Supersymmetry  

E-Print Network (OSTI)

A graphical representation of supersymmetry is presented. It clearly expresses the chiral flow appearing in SUSY quantities, by representing spinors by {\\it directed lines} (arrows). The chiral suffixes are expressed by the directions (up, down, left, right) of the arrows. The SL(2,C) invariants are represented by {\\it wedges}. Both the Weyl spinor and the Majorana spinor are treated. We are free from the complicated symbols of spinor suffixes. The method is applied to the 5D supersymmetry. Many applications are expected. The result is suitable for coding a computer program and is highly expected to be applicable to various SUSY theories (including Supergravity) in various dimensions.

Shoichi Ichinose

2006-03-28T23:59:59.000Z

96

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

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

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'.

97

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

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

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.

98

Ground Clutter Canceling with a Regression Filter  

Science Conference Proceedings (OSTI)

This paper explores ground clutter filtering with a class of cancelers that use regression. Regression filters perform this task in a simple manner, resulting in similar or better performance than the fifth-order elliptic filter implemented in ...

Sebastián M. Torres; Dusan S. Zrnic

1999-10-01T23:59:59.000Z

99

Global illumination with radiance regression functions  

Science Conference Proceedings (OSTI)

We present radiance regression functions for fast rendering of global illumination in scenes with dynamic local light sources. A radiance regression function (RRF) represents a non-linear mapping from local and contextual attributes of surface points, ... Keywords: global illumination, neural network, non-linear regression, real time rendering

Peiran Ren; Jiaping Wang; Minmin Gong; Stephen Lin; Xin Tong; Baining Guo

2013-07-01T23:59:59.000Z

100

Nonlinear regression model generation using hyperparameter optimization  

Science Conference Proceedings (OSTI)

An algorithm of the inductive model generation and model selection is proposed to solve the problem of automatic construction of regression models. A regression model is an admissible superposition of smooth functions given by experts. Coherent Bayesian ... Keywords: Coherent Bayesian inference, Hyperparameters, Model generation, Model selection, Regression

Vadim Strijov; Gerhard Wilhelm Weber

2010-08-01T23:59:59.000Z

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.


101

Solving Fuzzy Linear Regression with Hybrid Optimization  

Science Conference Proceedings (OSTI)

Fuzzy linear regression is an important tool to find the linear inexact relationship between uncertain data. We then propose a hybrid optimization method based on tabu search and harmony search as a potential way of solving fuzzy linear regression. The ... Keywords: Fuzzy linear regression, Harmony search, Hybrid optimization, Tabu search

M. H. Mashinchi; M. A. Orgun; M. Mashinchi

2009-12-01T23:59:59.000Z

102

The polaris inter representation  

SciTech Connect

The Polaris Program Manipulation System is a production quality tool for source-to-source transformations and complex analysis of Fortran code. In this paper, we describe the motivations for and the implementation of Polaris` internal representation (IR). The IR is composed of a basic abstract syntax tree on top of which exist many layers of functionality. This functionality allows complex operations on the data structure. Further, the IR is designed to enforce the consistency of the internal structure in terms of both the correctness of the data structures such as flow information. We describe how the system`s philosophies developed from its predecessor, the Delta prototyping system, and how they were implemented in Polaris` IR. We also provide a number of examples of using the Polaris system.

Faigin, K.A. [Univ. of Illinois, Urbana-Champaign, IL (United States); Weatherford, S.A.; Hoeflinger, J.P. [and others

1994-10-01T23:59:59.000Z

103

Knowledge representation and machine translation  

Science Conference Proceedings (OSTI)

This paper describes a new knowledge representation called "frame knowledge representation-0" (FKR-0), and an experimental machine translation system named ATLAS/I which uses FKR-0.The purpose of FKR-0 is to stored information required for machine translation ...

Susumu Sawai; Hiromichi Fukushima; Masakatsu Sugimoto; Naoya Ukai

1982-07-01T23:59:59.000Z

104

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

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

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

105

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

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

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

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

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.

107

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

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

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.

108

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

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

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

109

Kernel-Correlated Levy Field Driven Forward Rate and Application to Derivative Pricing  

SciTech Connect

We propose a term structure of forward rates driven by a kernel-correlated Levy random field under the HJM framework. The kernel-correlated Levy random field is composed of a kernel-correlated Gaussian random field and a centered Poisson random measure. We shall give a criterion to preclude arbitrage under the risk-neutral pricing measure. As applications, an interest rate derivative with general payoff functional is priced under this pricing measure.

Bo Lijun [Xidian University, Department of Mathematics (China); Wang Yongjin [Nankai University, School of Business (China); Yang Xuewei, E-mail: xwyangnk@yahoo.com.cn [Nanjing University, School of Management and Engineering (China)

2013-08-01T23:59:59.000Z

110

An Object-Oriented Nano-Kernel for Operating System Hardware Support  

Science Conference Proceedings (OSTI)

Abstract: The nano-kernel in the /spl mu/Choices operating system provides hardware support for the operating system. The nano-kernel is a single, modular subsystem that encapsulates the hardware and presents an idealized machine architecture to the ... Keywords: /spl mu/Choices operating system hardware support, UNIX, Unix, abstract classes, hardware encapsulation, higher level abstractions, idealized machine architecture, interface, object-oriented methods, object-oriented nano-kernel, object-oriented programming, operating system kernels, policy, portable design, process paradigms, single modular subsystem, software portability, virtual memory

D. K. Raila

1995-08-01T23:59:59.000Z

111

Heat Kernel Short-Time Expansion within the Scope of Feynman-Kac Formula  

Science Conference Proceedings (OSTI)

The paper gives an outlook of the stochastic approach to derivation of heat kernel short-time asymptotic expansion and to effective evaluation of corresponding coefficients.

Stepin, S. A.; Rejrat, A. J. [Institute of Mathematics, University of Bialystok, Akademicka 2, 15-267 Bialystok (Poland)

2010-11-25T23:59:59.000Z

112

Testing model assumptions in functional regression models  

Science Conference Proceedings (OSTI)

In the functional regression model where the responses are curves, new tests for the functional form of the regression and the variance function are proposed, which are based on a stochastic process estimating L^2-distances. Our approach avoids the explicit ... Keywords: 62G10, Functional data, Goodness-of-fit tests, Parametric bootstrap, Tests for heteroscedasticity

Axel Bücher; Holger Dette; Gabriele Wieczorek

2011-11-01T23:59:59.000Z

113

Model selection for Gaussian regression with  

E-Print Network (OSTI)

Model selection for Gaussian regression with random design Lucien Birg´e Universit´e Paris VI and U of the L2-distance allows to recover the usual rates and to perform model selection in great generality 62G07. Key words and phrases. Random design regression, model selection, Hellinger distance, minimax

Université Pierre-et-Marie-Curie, Paris 6

114

A general approach to heteroscedastic linear regression  

Science Conference Proceedings (OSTI)

Our article presents a general treatment of the linear regression model, in which the error distribution is modelled nonparametrically and the error variances may be heteroscedastic, thus eliminating the need to transform the dependent variable in many ... Keywords: Density estimation, Dirichlet process mixture, Heteroscedasticity, Model checking, Nonparametric regression, Variable selection

David S. Leslie; Robert Kohn; David J. Nott

2007-06-01T23:59:59.000Z

115

TORCH Computational Reference Kernels - A Testbed for Computer Science Research  

Science Conference Proceedings (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

116

A Neutron Scattering Kernel of Solid Methane in phase II  

E-Print Network (OSTI)

A neutron scattering cross section model for solid methane was studied in the temperature ranges of 20.4$\\sim$4K. The analytical scattering kernel was adapted from Ozaki.$\\it{et al.}$\\cite{ozaki:3442}\\cite{ozaki2} to describe molecular rotation in this temperature range. This model includes a molecular translation and intramolecular vibration as well as the rotational degree of freedom in effective ways. Total scattering cross sections were calculated from the model and evaluated by comparing with the cross section measurement of Grieger\\cite{grieger:3161} and Whittemore\\cite{Wittemore} for incident neutron energy of 0.1 \\textit{meV} $\\sim$ 1\\textit{eV}. We produced frequency spectra from the model in the temperature range. The results were also compared with the Harker $&$ Brugger frequency spectrum at 22K\\cite{HARKER1967}. For broader applications, neutron scattering kernels for MCNP (Monte Carlo N Particle Transport Code) were produced at 20K and 4K from the frequency spectra using NJOY code. The scatt...

Shin, Yunchang; Liu, Chen-yu; Lavelle, Christopher M; Baxter, David V

2007-01-01T23:59:59.000Z

117

Borel summation of the small time expansion of the heat kernel with a vector potential  

E-Print Network (OSTI)

We study the Borel summability of the small time expansion of the heat kernel associated to a first order perturbation of a Laplacian. An explicit formula for this kernel plays a central role. As a consequence, we get a Poisson formula on the torus.

Thierry Harge

2013-02-04T23:59:59.000Z

118

Linking non-binned spike train kernels to several existing spike train metrics  

Science Conference Proceedings (OSTI)

This work presents three kernel functions that can be used as inner product operators on non-binned spike trains, allowing the use of state-of-the-art classification techniques. One of the main advantages is that this approach does not require the spike ... Keywords: Kernel methods, Non-binned, Spike train classification, Spike train metrics

Benjamin Schrauwen; Jan Van Campenhout

2007-03-01T23:59:59.000Z

119

Quantum Field Theory and Representation Theory  

E-Print Network (OSTI)

Quantum Field Theory and Representation Theory Peter Woit woit@math.columbia.edu Department of Mathematics Columbia University Quantum Field Theory and Representation Theory ­ p.1 #12;Outline of the talk · Quantum Mechanics and Representation Theory: Some History Quantum Field Theory and Representation Theory

Woit, Peter

120

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

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

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

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

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

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

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

122

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

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

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

123

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

E-Print Network (OSTI)

Pecan kernels from six cultivars were analyzed for phenolic content and antioxidant properties. In addition, kernels from two cultivars were irradiated with 0, 1.5 and 3.0 kGy using E-Beam irradiation and stored in accelerated conditions (40 °C and 55% R.H.). Changes in phytochemical profile and antioxidant properties were monitored for 134 days. Cultivars differed greatly in their phytochemical content. Total extractable phenolic content (TP) ranged from 62 to 106 milligrams of chlorogenic acid equivalents per gram of defatted kernel. Antioxidant capacity (AC) measured by the DPPH free radical had a strong correlation with TP. Shells from each cultivar were 6, 4.5 and 18 times greater for TP, AC and condensed tannin content (CT). Gallic and ellagic acids, epicatechin and catechin were identified in hydrolyzed extracts of all cultivars. Prior to hydrolysis, no compounds were positively identified. Fatty acid profile of kernel oil had a strong inverse correlation between oleic and linoleic oil. Kernels from the same cultivar but different location differed in their fatty acid composition but had similar TP. Irradiation of â Kanzaâ and â Desirableâ kernels with 1.5 and 3.0 kGy had no detrimental effects on AC and TP by the end of experiments. Phenolic profile was similar for all treatments. Tocopherol content decreased with irradiation treatments, but no further degradation was observed throughout storage. Peroxide values increased slightly after 98 and 134 days of storage for â Desirableâ kernels, with slight differences between controls and irradiated samples. Color of kernels decreased in lightness and yellowness and increased in redness with no differences between irradiated samples and controls. For the first time the effect of pecan cultivar and E-Beam irradiation was assessed in phytochemical and antioxidant attributes of pecan kernels. Additionally, irradiation with E-Beam had no significant detrimental effects in phytochemical composition and only a slight increase in peroxide value, indicating potential as pecan kernel sanitization.

Villarreal Lozoya, Jose Emilio

2006-05-01T23:59:59.000Z

124

Representation of Ideal Magnetohydrodynamic Modes  

SciTech Connect

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

125

Significance Tests for Regression Model Hierarchies  

Science Conference Proceedings (OSTI)

Methods of estimating the significance of optimal regression models selected from a model hierarchy proposed by Barnett and Hasselmann (1979) are reexamined allowing for the multiple-candidate nature of the selection criteria. It is found that ...

T. P. Barnett; R. W. Preisendorfer; L. M. Goldstein; K. Hasselmann

1981-08-01T23:59:59.000Z

126

Adaptive nonparametric regression on spin fiber bundles  

Science Conference Proceedings (OSTI)

The construction of adaptive nonparametric procedures by means of wavelet thresholding techniques is now a classical topic in modern mathematical statistics. In this paper, we extend this framework to the analysis of nonparametric regression on sections ... Keywords: 42B35, 42C10, 42C40, 46E35, 62G08, 62G20, Adaptive nonparametric regression, Mixed spin needlets, Spin Besov spaces, Spin fiber bundles, Thresholding

Claudio Durastanti; Daryl Geller; Domenico Marinucci

2012-02-01T23:59:59.000Z

127

Kernel functions and Baecklund transformations for relativistic Calogero-Moser and Toda systems  

SciTech Connect

We obtain kernel functions associated with the quantum relativistic Toda systems, both for the periodic version and for the nonperiodic version with its dual. This involves taking limits of previously known results concerning kernel functions for the elliptic and hyperbolic relativistic Calogero-Moser systems. We show that the special kernel functions at issue admit a limit that yields generating functions of Baecklund transformations for the classical relativistic Calogero-Moser and Toda systems. We also obtain the nonrelativistic counterparts of our results, which tie in with previous results in the literature.

Hallnaes, Martin [School of Mathematics, Loughborough University, Loughborough LE11 3TU (United Kingdom); Ruijsenaars, Simon [School of Mathematics, University of Leeds, Leeds LS2 9JT (United Kingdom)

2012-12-15T23:59:59.000Z

128

Comments on “Breakpoint Representation of Rainfall”  

Science Conference Proceedings (OSTI)

In a recent paper, Sansom presents a new representation of subhour rainfall variations as derived from pluviographs from tilting-siphon raingages. This representation is based on breakpoints where the trace changes slope abruptly. He draws on ...

Lars Bärring

1992-12-01T23:59:59.000Z

129

Quantum Mechanics and Representation Theory Columbia University  

E-Print Network (OSTI)

Quantum Mechanics and Representation Theory Peter Woit Columbia University Texas Tech, November 21 2013 Peter Woit (Columbia University) Quantum Mechanics and Representation Theory November 2013 1 / 30 #12;Does Anyone Understand Quantum Mechanics? "No One Understands Quantum Mechanics" "I think

Woit, Peter

130

Significant Properties, Authenticity, Provenance, Representation Information and OAIS Information  

E-Print Network (OSTI)

Provenance, Representation Information and OAIS DavidOAIS term Representation Information has been a puzzle. Thisignoring Representation Information, other than structure

2009-01-01T23:59:59.000Z

131

Representation of Limited Rights Data and Restricted Computer...  

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

Representation of Limited Rights Data and Restricted Computer Software Representation of Limited Rights Data and Restricted Computer Software Representation of Limited Rights Data...

132

ARM - Evaluation Product - SASHE Langley Regressions  

NLE Websites -- All DOE Office Websites (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

133

Regression Error Characteristic CurVes  

E-Print Network (OSTI)

Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generalize ROC curves to regression. REC curves plot the error tolerance on the xaxis versus the percentage of points predicted within the tolerance on the y-axis. The resulting curve estimates the cumulative distribution function of the error. The REC curve visually presents commonly-used statistics. The area-over-the-curve (AOC) is a biased estimate of the expected error. The R 2 value can be estimated using the ratio of the AOC for a given model to the AOC for the null model. Users can quickly assess the relative merits of many regression functions by examining the relative position of their REC curves. The shape of the curve reveals additional information that can be used to guide modeling. 1.

Jinbo Bi; Kristin P. Bennett

2003-01-01T23:59:59.000Z

134

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

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

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

135

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

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

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.

136

The kernel of the edth operators on higher-genus spacelike two-surfaces  

E-Print Network (OSTI)

The dimension of the kernels of the edth and edth-prime operators on closed, orientable spacelike 2-surfaces with arbitrary genus is calculated, and some of its mathematical and physical consequences are discussed.

J. Frauendiener; L. B. Szabados

2000-10-24T23:59:59.000Z

137

Exact noise kernel for quantum fields in static de Sitter and conformally-flat spacetimes  

E-Print Network (OSTI)

We compute exact expressions of the noise kernel, defined as the expectation value of the symmetrized connected stress energy bitensor, for conformally-invariant scalar fields with respect to the conformal vacuum, valid for an arbitrary separation (timelike, spacelike and null) of points in a class of conformally-flat spacetimes. We derive explicit expressions for the noise kernel evaluated in the static de Sitter coordinates with respect to the Gibbons-Hawking vacuum and analyze the behavior of the noise kernel in the region near the cosmological horizon. We develop a quasi-local expansion near the cosmological horizon and compare it with the exact results. This gives insight into the likely range of validity of the quasi-local approximation expressions for the noise kernel for the conformally invariant scalar field in Schwarzschild spacetime which are given in PHYSICAL REVIEW D{\\bf 85}, 044037 (2012).

Jason D. Bates; Hing-Tong Cho; Paul R. Anderson; B. L. Hu

2013-01-11T23:59:59.000Z

138

Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching  

Science Conference Proceedings (OSTI)

In this paper we propose a method for nonlinear time series pattern matching: "Multi-Scale Kernel Latent Variable (MSKLV) models". The pattern matching methodology includes multi-scale analysis using wavelet decomposition of time series and finding latent ...

B. Venkataramana Kini; C. Chandra Sekhar

2008-01-01T23:59:59.000Z

139

Performance evaluation of robotic knowledge representation (PERK)  

Science Conference Proceedings (OSTI)

In this paper, we explore some ways in which symbolic knowledge representations have been evaluated in the past and provide some thoughts on what should be considered when applying and evaluating these types of knowledge representations for real-time ... Keywords: knowledge representation, ontologies, performance metrics, real-time, robotics

Craig Schlenoff; Sebti Foufou; Stephen Balakirsky

2012-03-01T23:59:59.000Z

140

Large diffusion expansion of the transition kernel of the Lévy Ornstein-Uhlenbeck process  

E-Print Network (OSTI)

In this paper we study the L\\'evy Ornstein- Uhlenbeck equation $\\partial_t X_t=-m\\,X_t+\\eta$. The transition kernel of the L\\'evy Ornstein- Uhlenbeck process is given by a series which is not convergent in general, a large diffusion expansion of the transition kernel of the L\\'evy Ornstein- Uhlenbeck process will be given as well. The obtained series can be re-expressed in terms of generalized Feynman graphs and Feynman rules.

Boubaker Smii

2010-04-14T23:59:59.000Z

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

Spark ignited turbulent flame kernel growth. Annual report, January--December, 1992  

DOE Green Energy (OSTI)

Cyclic combustion variations in spark-ignition engines limit the use of dilute charge strategies for achieving low NO{sub x} emissions and improved fuel economy. Results from an experimental study of the effect of incomplete fuel-air mixing (ifam) on spark-ignited flame kernel growth in turbulent propane-air mixtures are presented. The experiments were conducted in a turbulent flow system that allows for independent variation of flow parameters, ignition system parameters, and the degree of fuel-air mixing. Measurements were made at 1 atm and 300 K conditions. Five cases were studied; a premixed and four incompletely mixed cases with 6%, 13%, 24% and 33% RMS (root-mean-square) fluctuations in the fuel/air equivalence ratio. High speed laser shadowgraphy at 4,000 frames-per-second was used to record flame kernel growth following spark ignition, from which the equivalent flame kernel radius as a function of time was determined. The effect of ifam was evaluated in terms of the flame kernel growth rate, cyclic variations in the flame kernel growth, and the rate of misfire. The results show that fluctuations in local mixture strength due to ifam cause the flame kernel surface to become wrinkled and distorted; and that the amount of wrinkling increases as the degree of ifam. Ifam was also found to result in a significant increase in cyclic variations in the flame kernel growth. The average flame kernel growth rates for the premixed and the incompletely mixed cases were found to be within the experimental uncertainty except for the 33%-RMS-fluctuation case where the growth rate is significantly lower. The premixed and 6%-RMS-fluctuation cases had a 0% misfire rate. The misfire rates were 1% and 2% for the 13%-RMS-fluctuation and 24%-RMS-fluctuation cases, respectively; however, it drastically increased to 23% in the 33%-RMS-fluctuation case.

Santavicca, D.A.

1994-06-01T23:59:59.000Z

142

Estimating the Bias of Local Polynomial Approximations Using the Peano Kernel  

SciTech Connect

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

143

Computational representation of biological systems  

SciTech Connect

Integration of large and diverse biological data sets is a daunting problem facing systems biology researchers. Exploring the complex issues of data validation, integration, and representation, we present a systematic approach for the management and analysis of large biological data sets based on data warehouses. Our system has been implemented in the Bioverse, a framework combining diverse protein information from a variety of knowledge areas such as molecular interactions, pathway localization, protein structure, and protein function.

Frazier, Zach; McDermott, Jason E.; Guerquin, Michal; Samudrala, Ram

2009-04-20T23:59:59.000Z

144

Temporal Representation in Semantic Graphs  

Science Conference Proceedings (OSTI)

A wide range of knowledge discovery and analysis applications, ranging from business to biological, make use of semantic graphs when modeling relationships and concepts. Most of the semantic graphs used in these applications are assumed to be static pieces of information, meaning temporal evolution of concepts and relationships are not taken into account. Guided by the need for more advanced semantic graph queries involving temporal concepts, this paper surveys the existing work involving temporal representations in semantic graphs.

Levandoski, J J; Abdulla, G M

2007-08-07T23:59:59.000Z

145

Volumetric stem biomass modelling using multiple regression  

Science Conference Proceedings (OSTI)

This paper presented the development of a simple model for obtaining the stem volume of a tropical tree species, that is, Cinnamomum iners based on the two volumetric equations, namely, the Huber's and Newton's equations. Variables considered during ... Keywords: best model, correlation tests, interactions, multiple regression, selection criteria, stem volume, volumetric equations

Noraini Abdullah; Zainodin Hj. Jubok; J. B. Nigel Jonney

2007-12-01T23:59:59.000Z

146

Network regression with predictive clustering trees  

Science Conference Proceedings (OSTI)

Network data describe entities represented by nodes, which may be connected with (related to) each other by edges. Many network datasets are characterized by a form of autocorrelation, where the value of a variable at a given node depends on the values ... Keywords: Autocorrelation, Network data, Predictive clustering trees, Regression inference

Daniela Stojanova; Michelangelo Ceci; Annalisa Appice; Sašo DžEroski

2012-09-01T23:59:59.000Z

147

Semiparametrically weighted robust estimation of regression models  

Science Conference Proceedings (OSTI)

A class of two-step robust regression estimators that achieve a high relative efficiency for data from light-tailed, heavy-tailed, and contaminated distributions irrespective of the sample size is proposed and studied. In particular, the least weighted ... Keywords: Adaptive estimation, Asymptotic efficiency, Breakdown point, Least weighted squares

Pavel íek

2011-01-01T23:59:59.000Z

148

A constrained regression technique for cocomo calibration  

Science Conference Proceedings (OSTI)

Building cost estimation models is often considered a search problem in which the solver should return an optimal solution satisfying an objective function. This solution also needs to meet certain constraints. For example, a solution for the estimates ... Keywords: calibration, cocomo, linear programming, linear regression with constraints, optimization, quadratic programming, software cost estimation

Vu Nguyen; Bert Steece; Barry Boehm

2008-10-01T23:59:59.000Z

149

Robust regression for high throughput drug screening  

Science Conference Proceedings (OSTI)

Effective analysis of high throughput screening (HTS) data requires automation of dose-response curve fitting for large numbers of datasets. Datasets with outliers are not handled well by standard non-linear least squares methods, and manual outlier ... Keywords: Agonist activity, Dose-response curve, HTS, IRLS, M-estimation, Robust regression

Igor Fomenko; Mark Durst; David Balaban

2006-04-01T23:59:59.000Z

150

Alternative Approach to Nuclear Data Representation  

Science Conference Proceedings (OSTI)

This paper considers an approach for representing nuclear data that is qualitatively different from the approach currently adopted by the nuclear science community. Specifically, they examine a representation in which complicated data is described through collections of distinct and self contained simple data structures. This structure-based representation is compared with the ENDF and ENDL formats, which can be roughly characterized as dictionary-based representations. A pilot data representation for replacing the format currently used at LLNL is presented. Examples are given as is a discussion of promises and shortcomings associated with moving from traditional dictionary-based formats to a structure-rich or class-like representation.

Pruet, J; Brown, D; Beck, B; McNabb, D P

2005-07-27T23:59:59.000Z

151

Optimisations for quadrature representations of finite element tensors through automated code generation  

E-Print Network (OSTI)

of RAM running Ubuntu 8.04.1 with Linux kernel 2.6.24. We used Python version 2.5.2 and NumPy version 1.0.4 (both pertinent to FFC), and g++ version 4.2.3 with the ‘-O2’ optimisation flag to compile the generated C++ code which is compliant with UFC... between quadrature and tensor contraction representations. Form generation [s] q/t size [kB] q/t C++ [s] q/t mixed Poisson 3.9 1.00 1500 0.92 15.7 0.76 DG biharmonic 16.2 0.35 3200 0.13 47.5 0.19 pressure equation 35.1 1.03 2600 0.19 41.4 0.22 therefore...

Oelgaard, Kristian B; Wells, G N

2009-07-20T23:59:59.000Z

152

Bayesian and non-Bayesian contributions to fuzzy regression analysis.  

E-Print Network (OSTI)

??In this dissertation, the performance of the newly developed Fuzzy Regression analysis is explored in various ways. First, the Fuzzy Regression model is compared with… (more)

Feng, Hui

2006-01-01T23:59:59.000Z

153

Air Leakage of US Homes: Regression  

NLE Websites -- All DOE Office Websites (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

154

Handbook on Regression Testing of Digital Systems  

Science Conference Proceedings (OSTI)

Even after established use in power plants, digital monitoring, control, and protection systems typically undergo necessary changes to fix defects, make necessary improvements to functionality, and adapt to the evolution of commercially supported components. These common changes can introduce new defects and cause previously fixed defects to reappear. This handbook is concerned with regression testing, a software testing technique that focuses on ensuring that modifications to proven software-based syste...

2008-02-28T23:59:59.000Z

155

Regression modeling method of space weather prediction  

E-Print Network (OSTI)

A regression modeling method of space weather prediction is proposed. It allows forecasting Dst index up to 6 hours ahead with about 90% correlation. It can also be used for constructing phenomenological models of interaction between the solar wind and the magnetosphere. With its help two new geoeffective parameters were found: latitudinal and longitudinal flow angles of the solar wind. It was shown that Dst index remembers its previous values for 2000 hours.

Parnowski, Aleksei

2009-01-01T23:59:59.000Z

156

Media representation of maternal neonaticide  

E-Print Network (OSTI)

The present research conducted a rich discourse analysis of an episode of the fictional television crime drama, Law & Order: Special Victims Unit, as well as a content analysis of local and national news transcripts focusing on the representation of mothers who commit neonaticide. Both fictional and non-fictional media sources exhibited aspects of the monstrous maternal theme and the strain defense theme. The monstrous maternal theme consists of words and statements that indicate the descriptions of crime committed against the newborn as well as negative responses and reactions by others to the young mother and her crime. The strain defense theme refers to instances that discuss the internal and external strains of the young woman that may have contributed to her committing neonaticide. However, the "monstrous maternal" is the prevailing representation of mothers who commit neonaticide in both fictional and non-fictional media sources. This media representation utilizes "control talk" to separate "us" the good mothers, who abide by the cultural expectations of traditional gender roles and embrace the internal and external strains of motherhood, from "them" the criminal mothers, who fail to adhere to these role expectations of motherhood by committing neonaticide. The present research reveals that cultural stories and scripts of the monstrous maternal still exist. This contemporary folklore may serve as a form of social control to scare women into conforming to these traditional gender roles and bearing the burden of the motherhood strains, in order to avoid being branded a bad mother. Finally, the present research develops the application of General Strain Theory to explain the internal and external strains of a young woman that may contribute to her committing the criminal act of maternal neonaticide. These media representations of maternal neonaticide could impact the criminal justice system and public policy. Questions of accuracy, gendered understandings of crime and gendered understanding of appropriate punishment are areas the present research explores. Most importantly, the present research seeks to investigate the connection between legal culture in both media and professional practice - and what those connections mean for our general cultural understandings of violence and aggression in women.

Lewis, Jocelyn Renee

2008-05-01T23:59:59.000Z

157

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

SciTech Connect

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

158

Starch properties, endogenous amylase activity, and ethanol production of corn kernels with different planting dates and drying conditions.  

E-Print Network (OSTI)

??This study was conducted with aim to understand how planting dates and drying conditions affected starch properties and dry-grind ethanol production of corn kernels. Three… (more)

Medic, Jelena

2011-01-01T23:59:59.000Z

159

Vector Representation of Trade Cumulus Thermodynamic Fluxes  

Science Conference Proceedings (OSTI)

A vector representation of the BOMEX thermodynamic budget data is presented which shows graphically the relationship of the fluxes and the mean layer structure.

Alan K. Betts

1985-12-01T23:59:59.000Z

160

On tolerances representable as $R \\circ R^-$  

E-Print Network (OSTI)

We give examples and counterexamples concerning varieties in which every tolerance is representable as $R \\circ R^-$, for some reflexive and admissible relation $R$.

Paolo Lipparini

2006-10-02T23:59:59.000Z

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

The weak heat kernel asymptotic expansion and the quantum double suspension  

E-Print Network (OSTI)

In this paper we are concerned with the construction of a general principle that will allow us to produce regular spectral triples with finite and simple dimension spectrum. We introduce the notion of weak heat kernel asymptotic expansion (WHKAE) property of a spectral triple and show that the weak heat kernel asymptotic expansion allows one to conclude that the spectral triple is regular with finite simple dimension spectrum. The usual heat kernel expansion implies this property. Finally we show that WHKAE is stable under quantum double suspension, a notion introduced by Hong and Szymanski. Therefore quantum double suspending compact Riemannian spin manifolds iteratively we get many examples of regular spectral triples with finite simple dimension spectrum. This covers all the odd dimensional quantum spheres. Our methods also apply to the case of noncommutative torus.

Chakraborty, Partha Sarathi

2010-01-01T23:59:59.000Z

162

Investigation of tilted dose kernels for portal dose prediction in a-Si electronic portal imagers  

SciTech Connect

The effect of beam divergence on dose calculation via Monte Carlo generated dose kernels was investigated in an amorphous silicon electronic portal imaging device (EPID). The flat-panel detector was simulated in EGSnrc with an additional 3.0 cm water buildup. The model included details of the detector's imaging cassette and the front cover upstream of it. To approximate the effect of the EPID's rear housing, a 2.1 cm air gap and 1.0 cm water slab were introduced into the simulation as equivalent backscatter material. Dose kernels were generated with an incident pencil beam of monoenergetic photons of energy 0.1, 2, 6, and 18 MeV. The orientation of the incident pencil beam was varied from 0 deg. to 14 deg. in 2 deg. increments. Dose was scored in the phosphor layer of the detector in both cylindrical (at 0 deg. ) and Cartesian (at 0 deg. -14 deg.) geometries. To reduce statistical fluctuations in the Cartesian geometry simulations at large radial distances from the incident pencil beam, the voxels were first averaged bilaterally about the pencil beam and then combined into concentric square rings of voxels. Profiles of the EPID dose kernels displayed increasing asymmetry with increasing angle and energy. A comparison of the superposition (tilted kernels) and convolution (parallel kernels) dose calculation methods via the {chi}-comparison test (a derivative of the {gamma}-evaluation) in worst-case-scenario geometries demonstrated an agreement between the two methods within 0.0784 cm (one pixel width) distance-to-agreement and up to a 1.8% dose difference. More clinically typical field sizes and source-to-detector distances were also tested, yielding at most a 1.0% dose difference and the same distance-to-agreement. Therefore, the assumption of parallel dose kernels has less than a 1.8% dosimetric effect in extreme cases and less than a 1.0% dosimetric effect in most clinically relevant situations and should be suitable for most clinical dosimetric applications. The resulting time difference for the parallel kernel assumption versus the tilted kernels was 10.5 s vs 18 h (a factor of approximately 6000), dependent on existing hardware and software details.

Chytyk, K.; McCurdy, B. M. C. [Division of Medical Physics, CancerCare Manitoba, 675 McDermot Avenue, Winnipeg, Manitoba R3E 0V9, Canada and Department of Physics and Astronomy, University of Manitoba, Winnipeg, Manitoba R3T 2N2 (Canada); Division of Medical Physics, CancerCare Manitoba, 675 McDermot Avenue, Winnipeg, Manitoba R3E 0V9 (Canada); Department of Physics and Astronomy, University of Manitoba, Winnipeg, Manitoba R3T 2N2 (Canada) and Department of Radiology, University of Manitoba, Winnipeg, Manitoba R3A 1R9 (Canada)

2006-09-15T23:59:59.000Z

163

Anomalous heat-kernel decay for random walk among polynomial lower tail random conductances  

E-Print Network (OSTI)

We consider the nearest-neighbor simple random walk on $\\Z^{d}$, $d\\geq 4$, driven by a field of i.i.d. random nearest-neighbor conductances $\\omega_{xy}\\in[0,1]$. Our aim is to derive estimates of the heat-kernel decay in a case where ellipticity assumption is absent. We consider the case of independant conductances with polynomial tail near 0 and obtain for almost every environment an anomalous lower bound on the heat-kernel.

Boukhadra, Omar

2008-01-01T23:59:59.000Z

164

Research on Fault Diagnosis of Marine Diesel Engine Based on Grey Relational Analysis and Kernel Fuzzy C-means Clustering  

Science Conference Proceedings (OSTI)

According to the problem of small samples and nonlinear feature in fault diagnosis of marine diesel engine, comprehensively using the methods of grey relational analysis and kernel fuzzy c-means clustering, a method solving fault diagnosis of marine ... Keywords: marine diesel engine, fault diagnosis, grey relational analysis, kernel fuzzy c-means clustering

Xiuyan Peng; Yanyou Chai; Yanyou Chai; Liufeng Xu; Xinjiang Man

2012-01-01T23:59:59.000Z

165

On the regularity of solutions to integral equations with nonsmooth kernels on a union of open intervals  

Science Conference Proceedings (OSTI)

The behaviour of a solution to a Fredholm integral equation of the second kind on a union of open intervals is examined. The kernel of the corresponding integral operator may have diagonal singularities, information about them is given through certain ... Keywords: 45B05, 45D05, 45M05, Boundary singularities, Compact operators, Fredholm integral equation, Smoothness of the solution, Weakly singular kernel

Arvet Pedas; Gennadi Vainikko

2009-07-01T23:59:59.000Z

166

Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging  

Science Conference Proceedings (OSTI)

Healthy wheat kernels and wheat kernels damaged by the feeding of the insects: rice weevil (Sitophilus oryzae), lesser grain borer (Rhyzopertha dominica), rusty grain beetle (Cryptolestes ferrugineus), and red flour beetle (Tribolium castaneum) were ... Keywords: Grain quality, Hyperspectral imaging, Machine vision, NIR

Chandra B. Singh; Digvir S. Jayas; Jitendra Paliwal; Noel D. G. White

2010-08-01T23:59:59.000Z

167

A robust kernel-based fuzzy c-means algorithm by incorporating suppressed and magnified membership for MRI image segmentation  

Science Conference Proceedings (OSTI)

Bias-corrected fuzzy c-means (BCFCM) algorithm with spatial information has been proven effective for image segmentation. It still lacks enough robustness to noise and outliers. Some kernel versions of FCM with spatial constraints, such as KFCM_S1, ... Keywords: Kernel-based FCM, fuzzy c-means (FCM), image segmentation, magic resonance image segmentation, spatial bias correction, suppressed membership

Hsu-Shen Tsai; Wen-Liang Hung; Miin-Shen Yang

2012-10-01T23:59:59.000Z

168

On the representation by linear superpositions  

Science Conference Proceedings (OSTI)

In a number of papers, Y. Sternfeld investigated the problems of representation of continuous and bounded functions by linear superpositions. In particular, he proved that if such representation holds for continuous functions, then it holds for bounded ... Keywords: 26B40, 41A05, 41A63, Closed path, Linear superposition, Ridge function

Vugar E. Ismailov

2008-04-01T23:59:59.000Z

169

State space representation of routing flexibility  

Science Conference Proceedings (OSTI)

This paper describes a state space representation for sequencing and routing flexibility in manufacturing systems. Routing flexibility is represented using five different stages as follows: (i) Precedence Graph of Operations; (ii) State Transition Graph ... Keywords: Flexible manufacturing systems, Routing flexibility, Sequencing flexibility, State space representation

Leonardo Rosa Rohde; Denis Borenstein

2005-12-01T23:59:59.000Z

170

Multivariate lag-windows and group representations  

Science Conference Proceedings (OSTI)

Symmetries of the auto-cumulant function (a generalization of the auto-covariance function) of a kth-order stationary time series are derived through a connection with the symmetric group of degree k. Using the theory of group representations, symmetries ... Keywords: 20C30, 37M10, Group representations, Higher-order spectra, Multivariate lag-windows, Symmetry group

Arthur Berg

2008-11-01T23:59:59.000Z

171

External and mental referencing of multiple representations  

Science Conference Proceedings (OSTI)

This article reports on two experimental studies that investigate the impact of integration and external activity on an instructional support method that encourages learners to systematically and interactively integrate multiple representations in the ... Keywords: Cognitive load, Coherence formation, Multimedia, Multiple representations, Structure mapping, Visualizations

Daniel Bodemer; Uwe Faust

2006-01-01T23:59:59.000Z

172

Embedding Defaults into Terminological Knowledge Representation Formalisms  

E-Print Network (OSTI)

; Contents 1 Introduction 3 2 The Representation Formalisms 5 2.1 The terminological language ALCF. 2 The Representation Formalisms First we shall briefly review the terminological language ALCF [11 logic to ALCF . Finally an example will illustrate why Reiter uses Skolemization in his semantics

Baader, Franz

173

MAICE: a tool for knowledge representation  

Science Conference Proceedings (OSTI)

In the present work the software MAICE is shown as a solution for knowledge representation. This software is a visual modeling tool which allows to represent the rules that define a given knowledge universe, independently of specific application area ... Keywords: electrical systems management, electrical transformer diagnosis, fuzzy logic, knowledge modeling, knowledge representation

Fabricio M. Oliveira; Leizer Schnitman; Herman A. Lepkison; J. F. Corrêa; Almir L. Néri, Jr.; J. A. M. Felippe de Souza

2007-11-01T23:59:59.000Z

174

?1-penalized quantile regression in high-dimensional sparse models  

E-Print Network (OSTI)

We consider median regression and, more generally, a possibly infinite collection of quantile regressions in high-dimensional sparse models. In these models, the number of regressors p is very large, possibly larger than ...

Belloni, Alexandre

175

THE KERNEL OF AN HOMOMORPHISM OF HARISH-CHANDRA T. LEVASSEUR AND J. T. STAFFORD  

E-Print Network (OSTI)

THE KERNEL OF AN HOMOMORPHISM OF HARISH-CHANDRA T. LEVASSEUR AND J. T. STAFFORD Abstract. Let g. LEVASSEUR AND J. T. STAFFORD Dixmier and Wallach raised Question (y) is that it has as an immediate 2 F k , then L is a at right C k -module. #12; 4 T. LEVASSEUR AND J. T. STAFFORD Proof. Suppose

Levasseur, Thierry

176

Using a shallow linguistic kernel for drug-drug interaction extraction  

Science Conference Proceedings (OSTI)

A drug-drug interaction (DDI) occurs when one drug influences the level or activity of another drug. Information Extraction (IE) techniques can provide health care professionals with an interesting way to reduce time spent reviewing the literature for ... Keywords: Biomedical information extraction, Drug-drug interactions, Machine learning, MetaMap, Patient safety, Shallow linguistic kernel, Unified medical language system

Isabel Segura-Bedmar; Paloma MartíNez; Cesar De Pablo-SáNchez

2011-10-01T23:59:59.000Z

177

Kernel Density Estimation Applied to Tropical Cyclones Genesis in Northwestern Pacific  

Science Conference Proceedings (OSTI)

It is recognized that although the conditions necessary for generating cyclones are actually present in the tropical latitudes for much of the year, the storms themselves are comparatively rare. In addition, the skill of forecasting the occurrence of ... Keywords: genesis, kernel density estimation, tropical cyclone

Zhao Haikun; Wu Liguang; Zhou Weican

2009-07-01T23:59:59.000Z

178

Kernel Partitioning of Streaming Applications: A Statistical Approach to an NP-complete Problem  

Science Conference Proceedings (OSTI)

One of the greatest challenges in computer architecture is how to write efficient, portable, and correct software for multi-core processors. A promising approach is to expose more parallelism to the compiler, through the use of domain-specific languages. ... Keywords: Kernel partitioning, StremIt, Extreme Value Theory

Petar Radojkovic; Paul M. Carpenter; Miquel Moreto; Alex Ramirez; Francisco J. Cazorla

2012-12-01T23:59:59.000Z

179

HARTEX: a safe real-time kernel for distributed computer control systems  

Science Conference Proceedings (OSTI)

A hard real-time kernel is presented for distributed computer control systems (DCCS), highlighting a number of novel features, such as integrated scheduling of hard and soft real-time tasks as well as tasks and resources; high-performance time management ... Keywords: distributed computer control systems, object modelling techniques, real-time communication, real-time operating systems, scheduling algorithms

C. K. Angelov; I. E. Ivanov; A. Burns

2002-03-01T23:59:59.000Z

180

KCMAC-BYY: Kernel CMAC using Bayesian Ying-Yang learning  

Science Conference Proceedings (OSTI)

The Cerebellar Model Articulation Controller (CMAC) possesses attractive properties of fast learning and simple computation. In application, the size of its association vector is always reduced to economize the memory requirement, greatly constraining ... Keywords: Bayesian Ying-Yang learning, CMAC, Kernel machine

K. Tian; B. Guo; G. Liu; I. Mitchell; D. Cheng; W. Zhao

2013-02-01T23:59:59.000Z

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.


181

Selection and Properties of Alternative Forming Fluids for TRISO Fuel Kernel Production  

SciTech Connect

Current Very High Temperature Reactor (VHTR) designs incorporate TRi-structural ISOtropic (TRISO) fuel, which consists of a spherical fissile fuel kernel surrounded by layers of pyrolytic carbon and silicon carbide. An internal sol-gel process forms the fuel kernel using wet chemistry to produce uranium oxyhydroxide gel spheres by dropping a cold precursor solution into a hot column of trichloroethylene (TCE). Over time, gelation byproducts inhibit complete gelation, and the TCE must be purified or discarded. The resulting TCE waste stream contains both radioactive and hazardous materials and is thus considered a mixed hazardous waste. Changing the forming fluid to a non-hazardous alternative could greatly improve the economics of TRISO fuel kernel production. Selection criteria for a replacement forming fluid narrowed a list of ~10,800 chemicals to yield ten potential replacement forming fluids: 1-bromododecane, 1- bromotetradecane, 1-bromoundecane, 1-chlorooctadecane, 1-chlorotetradecane, 1-iododecane, 1-iodododecane, 1-iodohexadecane, 1-iodooctadecane, and squalane. The density, viscosity, and surface tension for each potential replacement forming fluid were measured as a function of temperature between 25 °C and 80 °C. Calculated settling velocities and heat transfer rates give an overall column height approximation. 1-bromotetradecane, 1-chlorooctadecane, and 1-iodododecane show the greatest promise as replacements, and future tests will verify their ability to form satisfactory fuel kernels.

Doug Marshall; M. Baker; J. King; B. Gorman

2013-01-01T23:59:59.000Z

182

GRADED LIE ALGEBRAS DEFINED BY JORDAN ALGEBRAS AND THEIR REPRESENTATIONS  

E-Print Network (OSTI)

Abstract. In this talk we introduce the notion of a generalized representation of a Jordan algebra with unit which has the following properties: 1) Usual representations and Jacobson representations correspond to special cases of generalized representations. 2) Every simple Jordan algebra has infinitely many nonequivalent generalized representations. 3) There is a one-to-one correspondence between irreducible generalized representations of a Jordan algebra A and irreducible representations of a graded Lie algebra L(A) = U?1?U0?U1 corresponding to A (the Lie algebra L(A) coincides with the TKK construction when A has a unit). The latter correspondence allows to use the theory of representations of Lie algebras to study generalized representations of Jordan algebras. In particular, one can classify irreducible generalized representations of semisimple Jordan algebras and also obtain classical results about usual representations and Jacobson representations in a simple way.

Issai Kantor; Gregory Shpiz

2004-01-01T23:59:59.000Z

183

A Sparse Regression Mixture Model for Clustering Time-Series  

Science Conference Proceedings (OSTI)

In this study we present a new sparse polynomial regression mixture model for fitting time series. The contribution of this work is the introduction of a smoothing prior over component regression coefficients through a Bayesian framework. This is done ... Keywords: Clustering time-series, Expectation-Maximization (EM) algorithm, Regression mixture model, sparse prior

K. Blekas; Nikolaos Galatsanos; A. Likas

2008-10-01T23:59:59.000Z

184

Representation of Limited Rights Data and Restricted Computer...  

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

Representation of Limited Rights Data and Restricted Computer Software Representation of Limited Rights Data and Restricted Computer Software Any data delivered under an award...

185

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

186

Mental Representations Formed From Educational Website Formats  

Science Conference Proceedings (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 reader’s 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

187

Converting Boundary Representation Solid Models to Half-Space Representation Models for Monte Carlo Analysis  

SciTech Connect

Solid modeling computer software systems provide for the design of three-dimensional solid models used in the design and analysis of physical components. The current state-of-the-art in solid modeling representation uses a boundary representation format in which geometry and topology are used to form three-dimensional boundaries of the solid. The geometry representation used in these systems is cubic B-spline curves and surfaces--a network of cubic B-spline functions in three-dimensional Cartesian coordinate space. Many Monte Carlo codes, however, use a geometry representation in which geometry units are specified by intersections and unions of half-spaces. This paper describes an algorithm for converting from a boundary representation to a half-space representation.

Davis JE, Eddy MJ, Sutton TM, Altomari TJ

2007-03-01T23:59:59.000Z

188

Comparing Single and Multiple Turbine Representations in a Wind Farm Simulation: Preprint  

SciTech Connect

This paper compares single turbine representation versus multiple turbine representation in a wind farm simulation.

Muljadi, E.; Parsons, B.

2006-03-01T23:59:59.000Z

189

Palm Oil: Production, Processing, Uses, and CharacterizationChapter 9 Palm and Palm Kernel Oil Production and Processing in Brazil  

Science Conference Proceedings (OSTI)

Palm Oil: Production, Processing, Uses, and Characterization Chapter 9 Palm and Palm Kernel Oil Production and Processing in Brazil Food Science Health Nutrition Biochemistry Processing eChapters Food Science & Technology Health - Nutri

190

Palm Oil: Production, Processing, Uses, and CharacterizationChapter 10 Palm and Palm Kernel Oil Production and Processing in Nigeria  

Science Conference Proceedings (OSTI)

Palm Oil: Production, Processing, Uses, and Characterization Chapter 10 Palm and Palm Kernel Oil Production and Processing in Nigeria Food Science Health Nutrition Biochemistry Processing eChapters Food Science & Technology Health - Nut

191

Palm Oil: Production, Processing, Uses, and CharacterizationChapter 12 Palm Oil and Palm Kernel Oil Refining and Fractionation Technology  

Science Conference Proceedings (OSTI)

Palm Oil: Production, Processing, Uses, and Characterization Chapter 12 Palm Oil and Palm Kernel Oil Refining and Fractionation Technology Food Science Health Nutrition Biochemistry Processing eChapters Food Science & Technology Health

192

Gourmet and Health-Promoting Specialty OilsChapter 15 Corn Kernel Oil and Corn Fiber Oil  

Science Conference Proceedings (OSTI)

Gourmet and Health-Promoting Specialty Oils Chapter 15 Corn Kernel Oil and Corn Fiber Oil Health Nutrition Biochemistry eChapters Health - Nutrition - Biochemistry Press Downloadable pdf of Chapter 15 Corn Kerne

193

Palm Oil: Production, Processing, Uses, and CharacterizationChapter 11 Oil Recovery from Palm Fruits and Palm Kernel  

Science Conference Proceedings (OSTI)

Palm Oil: Production, Processing, Uses, and Characterization Chapter 11 Oil Recovery from Palm Fruits and Palm Kernel Food Science Health Nutrition Biochemistry Processing eChapters Food Science & Technology Health - Nutrition - Biochem

194

Mathematical treatment of the homogeneous Boltzmann equation for Maxwellian molecules in the presence of singular kernels  

E-Print Network (OSTI)

This paper proves the existence of weak solutions to the spatially homogeneous Boltzmann equation for Maxwellian molecules, when the initial data are chosen from the space of all Borel probability measures on R^3 with finite second moments and the (angular) collision kernel satisfies a very weak cutoff condition. Conservation of momentum and energy is also proved for these weak solutions, without resorting to any boundedness of the entropy.

Emanuele Dolera

2013-06-21T23:59:59.000Z

195

Generation of a novel phase-space-based cylindrical dose kernel for IMRT optimization  

Science Conference Proceedings (OSTI)

Purpose: Improving dose calculation accuracy is crucial in intensity-modulated radiation therapy (IMRT). We have developed a method for generating a phase-space-based dose kernel for IMRT planning of lung cancer patients. Methods: Particle transport in the linear accelerator treatment head of a 21EX, 6 MV photon beam (Varian Medical Systems, Palo Alto, CA) was simulated using the EGSnrc/BEAMnrc code system. The phase space information was recorded under the secondary jaws. Each particle in the phase space file was associated with a beamlet whose index was calculated and saved in the particle's LATCH variable. The DOSXYZnrc code was modified to accumulate the energy deposited by each particle based on its beamlet index. Furthermore, the central axis of each beamlet was calculated from the orientation of all the particles in this beamlet. A cylinder was then defined around the central axis so that only the energy deposited within the cylinder was counted. A look-up table was established for each cylinder during the tallying process. The efficiency and accuracy of the cylindrical beamlet energy deposition approach was evaluated using a treatment plan developed on a simulated lung phantom. Results: Profile and percentage depth doses computed in a water phantom for an open, square field size were within 1.5% of measurements. Dose optimized with the cylindrical dose kernel was found to be within 0.6% of that computed with the nontruncated 3D kernel. The cylindrical truncation reduced optimization time by approximately 80%. Conclusions: A method for generating a phase-space-based dose kernel, using a truncated cylinder for scoring dose, in beamlet-based optimization of lung treatment planning was developed and found to be in good agreement with the standard, nontruncated scoring approach. Compared to previous techniques, our method significantly reduces computational time and memory requirements, which may be useful for Monte-Carlo-based 4D IMRT or IMAT treatment planning.

Zhong Hualiang; Chetty, Indrin J. [Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan 48202 (United States)

2012-05-15T23:59:59.000Z

196

Bayesian nonlinear regression for large p small n problems  

Science Conference Proceedings (OSTI)

Statistical modeling and inference problems with sample sizes substantially smaller than the number of available covariates are challenging. This is known as large p small n problem. Furthermore, the problem is more complicated when we have multiple ... Keywords: 62F15, 62G08, 62H99, 62J02, 62M20, Bayesian hierarchical model, Empirical Bayes, Gibbs sampling, Markov chain Monte Carlo, Metropolis-Hastings algorithm, Near infrared spectroscopy, Relevance vector machine, Reproducing kernel Hilbert space, Support vector machine, Vapnik's ?-insensitive loss

Sounak Chakraborty; Malay Ghosh; Bani K. Mallick

2012-07-01T23:59:59.000Z

197

Robust Neural Network Regression for Ofine and Online Learning  

E-Print Network (OSTI)

. The latter Now with McKinsey & Company, Inc. #12;is commonly used for robust regression. The £rst goal

Tresp, Volker

198

Regression Models for Demand Reduction based on Cluster Analysis...  

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

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...

199

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

SciTech Connect

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

200

2011 Special Issue: Reliable prediction intervals with regression neural networks  

Science Conference Proceedings (OSTI)

This paper proposes an extension to conventional regression neural networks (NNs) for replacing the point predictions they produce with prediction intervals that satisfy a required level of confidence. Our approach follows a novel machine learning framework, ... Keywords: Confidence measures, Conformal Prediction, Neural networks, Prediction intervals, Regression, Total Electron Content

Harris Papadopoulos; Haris Haralambous

2011-10-01T23:59:59.000Z

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.


201

Quantile approximations in auto-regressive portfolio models  

Science Conference Proceedings (OSTI)

This paper develops an analytical approximation for the distribution function of a terminal value of a periodic series of buy-and-hold investments placed over a fixed time horizon for the case when log-returns of assets follow a p-th order vector auto-regressive ... Keywords: Multi-period portfolio return, Taylor conditioned approximation, Vector auto-regressive returns

Aleš Ah?an; Igor Masten; Sašo Polanec; Mihael Perman

2011-02-01T23:59:59.000Z

202

Jackknife empirical likelihood tests for error distributions in regression models  

Science Conference Proceedings (OSTI)

Regression models are commonly used to model the relationship between responses and covariates. For testing the error distribution, some classical test statistics such as Kolmogorov-Smirnov test and Cramer-von-Mises test suffer from the complicated limiting ... Keywords: Goodness-of-fit test, Jackknife empirical Likelihood method, Regression model, primary

Huijun Feng; Liang Peng

2012-11-01T23:59:59.000Z

203

Improved estimators for a general class of beta regression models  

Science Conference Proceedings (OSTI)

In this article, we extend the beta regression model proposed by Ferrari and Cribari-Neto (2004), which is generally useful in situations where the response is restricted to the standard unit interval in two different ways: we let the regression structure ...

Alexandre B. Simas; Wagner Barreto-Souza; Andréa V. Rocha

2010-02-01T23:59:59.000Z

204

Declarative representation of programming access to ontologies  

Science Conference Proceedings (OSTI)

Using ontologies in software applications is a challenging task due to the chasm between the logics-based world of ontologies and the object-oriented world of software applications. The logics-based representation emphasizes the meaning of concepts and ...

Stefan Scheglmann; Ansgar Scherp; Steffen Staab

2012-05-01T23:59:59.000Z

205

From irreducible representations to locally decodable codes  

Science Conference Proceedings (OSTI)

A q-query Locally Decodable Code (LDC) is an error-correcting code that allows to read any particular symbol of the message by reading only q symbols of the codeword even if the codeword is adversary corrupted. In this paper we present a new approach ... Keywords: locally decodable codes, representation theory

Klim Efremenko

2012-05-01T23:59:59.000Z

206

Multimedia event recounting with concept based representation  

Science Conference Proceedings (OSTI)

Multimedia event detection has drawn a lot of attention in recent years. Given a recognized event, in this paper, we conduct a pilot study of the multimedia event recounting problem, which answers the question why this video is recognized as this event, ... Keywords: multimedia event recounting, multimedia event representation, textual descriptions of video content

Qian Yu; Jingen Liu; Hui Cheng; Ajay Divakaran; Harpreet Sawhney

2012-10-01T23:59:59.000Z

207

Next generation typeface representations: revisiting parametric fonts  

Science Conference Proceedings (OSTI)

Outline font technology has long been established as the standard way to represent typefaces, allowing characters to be represented independently of print size and resolution. Although outline font technologies are mature and produce results of sufficient ... Keywords: digital typography, font representation, font synthesis, parameterized fonts, parametric fonts, re-typesetting

Tamir Hassan; Changyuan Hu; Roger D. Hersch

2010-09-01T23:59:59.000Z

208

DNA Motif Representation with Nucleotide Dependency  

Science Conference Proceedings (OSTI)

The problem of discovering novel motifs of binding sites is important to theunderstanding of gene regulatory networks. Motifs are generally represented by matrices (PWM orPSSM) or strings. However, these representations cannot model biological binding ... Keywords: Computing Methodologies, Pattern Recognition, Design Methodology, Pattern analysis

Francis Chin; Henry C. M. Leung

2008-01-01T23:59:59.000Z

209

Implementing the eODL graphical representation  

Science Conference Proceedings (OSTI)

eODL is the ITU component description language. Its current status is that it is defined textually and there are several transformations into other languages. There are also ideas about a graphical representation for eODL. In this article we present ...

Joachim Fischer; Andreas Prinz; Markus Scheidgen; Merete S. Tveit

2006-05-01T23:59:59.000Z

210

Graphical representation of generalized quantum measurements  

E-Print Network (OSTI)

We present graphical representation for genaralized quantum measurements (POVM). We represent POVM elements as Bloch vectors and find the conditions these vectors should satisfy in order to describe realizable physical measurements. We show how to find probability of measurement outcome in a graphical way. The whole formalism is applied to unambigous discrimination of nonorthogonal quantum states.

Pawel Kurzynski; Andrzej Grudka

2006-04-26T23:59:59.000Z

211

On test suite composition and cost-effective regression testing  

E-Print Network (OSTI)

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-effectiveness of these methodologies has been shown to vary with characteristics of regression test suites. One such characteristic involves the way in which test inputs are composed into test cases within a test suite. This article reports the results of controlled experiments examining the effects of two factors in test suite composition — test suite granularity and test input grouping — on the costs and benefits of several regression-testing-related methodologies: retest-all, regression test selection, test suite reduction, and test case prioritization. These experiments consider the application of several specific techniques, from each of these methodologies, across ten releases each of two substantial software systems, using seven levels of test suite granularity and two types of test input grouping. The effects of granularity, technique, and grouping on the cost and fault-detection effectiveness of regression testing under the given methodologies are analyzed. This analysis shows that test suite granularity significantly affects several cost-benefit factors for the methodologies considered, while test input grouping has limited effects. Further, the results expose essential tradeoffs affecting the relationship between test suite design and regression testing cost-effectiveness, with several implications for practice. 1

Gregg Rothermel; Sebastian Elbaum; Alexey Malishevsky; Praveen Kallakuri

2004-01-01T23:59:59.000Z

212

The Necessary and Sufficient Conditions for Transformation from Dirac Representation to Foldy-Wouthuysen Representation  

E-Print Network (OSTI)

The paper describes conditions for transformation from the Dirac representation to the Foldy-Wouthuysen representation. The necessary condition is the block-diagonal transformation of Hamiltonian relative to the upper and lower components of the wave function. The sufficient condition is the wave function transformation law described by relation (6). It has been demonstrated that the unitary transformations offered by the authors of the papers [14], [15], [16], [17] do not satisfy the sufficiency condition (6) and, hence, they are not the Foldy-Wouthuysen transformations. In applications, the matrix elements of any operator in the FW representation can be calculated, according to (6), using the normalized two-component wave functions in the Dirac representation known for the given problem.

V. P. Neznamov

2008-04-02T23:59:59.000Z

213

Computing traveltime and amplitude sensitivity kernels in finite-frequency tomography  

Science Conference Proceedings (OSTI)

The efficient computation of finite-frequency traveltime and amplitude sensitivity kernels for velocity and attenuation perturbations in global seismic tomography poses problems both of numerical precision and of validity of the paraxial approximation used. We investigate these aspects, using a local model parameterization in the form of a tetrahedral grid with linear interpolation in between grid nodes. The matrix coefficients of the linear inverse problem involve a volume integral of the product of the finite-frequency kernel with the basis functions that represent the linear interpolation. We use local and global tests as well as analytical expressions to test the numerical precision of the frequency and spatial quadrature. There is a trade-off between narrowing the bandpass filter and quadrature accuracy and efficiency. Using a minimum step size of 10 km for S waves and 30 km for SS waves, relative errors in the quadrature are of the order of 1% for direct waves such as S, and a few percent for SS waves, which are below data uncertainties in delay time or amplitude anomaly observations in global seismology. Larger errors may occur wherever the sensitivity extends over a large volume and the paraxial approximation breaks down at large distance from the ray. This is especially noticeable for minimax phases such as SS waves with periods >20 s, when kernels become hyperbolic near the reflection point and appreciable sensitivity extends over thousands of km. Errors becomes intolerable at epicentral distance near the antipode when sensitivity extends over all azimuths in the mantle. Effects of such errors may become noticeable at epicentral distances > 140{sup o}. We conclude that the paraxial approximation offers an efficient method for computing the matrix system for finite-frequency inversions in global tomography, though care should be taken near reflection points, and alternative methods are needed to compute sensitivity near the antipode.

Tian Yue [Department of Geosciences, Guyot Hall, Princeton University, NJ 08544 (United States)], E-mail: ytian@princeton.edu; Montelli, Raffaella [ExxonMobil Upstream Research Company, P.O. Box 22189, GW03-940A, Houston, TX 77252-2189 (United States); Nolet, Guust; Dahlen, F.A. [Department of Geosciences, Guyot Hall, Princeton University, NJ 08544 (United States)

2007-10-01T23:59:59.000Z

214

A Comparative Analysis of Two Land Surface Heterogeneity Representations  

Science Conference Proceedings (OSTI)

Two contrasting representations of land surface variability used in general circulation models (GCMS) are compared through an analysis of their corresponding surface energy balance equations. In one representation (the “mixture” approach), ...

Randal D. Koster; Max J. Suarez

1992-12-01T23:59:59.000Z

215

String Approach to QCD Quarks in Fundamental Representations  

E-Print Network (OSTI)

Straightforward use of AdS/CFT correspondence can give QCD with quarks in adjoint representations. Using an asymmetric orbifold approach we obtain nonsupersymmetric QCD with four quark flavors in fundamental representations of color.

Paul H. Frampton

2004-07-12T23:59:59.000Z

216

Phasor representation for narrowband active noise control systems  

Science Conference Proceedings (OSTI)

The phasor representation is introduced to identify the characteristic of the active noise control (ANC) systems. The conventional representation, transfer function, cannot explain the fact that the performance will be degraded at some frequency for ...

Fu-Kun Chen; Ding-Horng Chen; Yue-Dar Jou

2008-01-01T23:59:59.000Z

217

Architectural representation ; spatial comprehension and assessment through visualization technique  

E-Print Network (OSTI)

There are two distinguishable parts to this thesis. Part I is a discourse on architectural representation. It defines the theoretical boundary for Part II, research on a particular spatial representation system, physical ...

Alberto, Donald

1982-01-01T23:59:59.000Z

218

Scale-Selective Ridge Regression for Multimodel Forecasting  

Science Conference Proceedings (OSTI)

This paper proposes a new approach to linearly combining multimodel forecasts, called scale-selective ridge regression, which ensures that the weighting coefficients satisfy certain smoothness constraints. The smoothness constraint reflects the “...

Timothy DelSole; Liwei Jia; Michael K. Tippett

2013-10-01T23:59:59.000Z

219

Scheduling functional regression tests for IBM DB2 products  

Science Conference Proceedings (OSTI)

Functional Regression Testing (FRT) is performed to ensure that a new version of a product functions properly as designed. In a corporate environment, the large numbers of test jobs and the complexity of scheduling the jobs on different platforms make ...

Edward Xia; Igor Jurisica; Julie Waterhouse; Valerie Sloan

2005-10-01T23:59:59.000Z

220

Analysis of some methods for reduced rank gaussian process regression  

Science Conference Proceedings (OSTI)

While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational complexity makes them impractical when the size of the training set exceeds a few thousand ...

Joaquin Quiñonero-Candela; Carl Edward Rasmussen

2003-09-01T23:59:59.000Z

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

Regression analysis of oncology drug licensing deal values  

E-Print Network (OSTI)

This work is an attempt to explain wide variations in drug licensing deal value by using regression modeling to describe and predict the relationship between oncology drug deal characteristics and their licensing deal ...

Hawkins, Paul Allen

2006-01-01T23:59:59.000Z

222

Learning and transferring geographically weighted regression trees across time  

Science Conference Proceedings (OSTI)

The Geographically Weighted Regression (GWR) is a method of spatial statistical analysis which allows the exploration of geographical differences in the linear effect of one or more predictor variables upon a response variable. The parameters of this ...

Annalisa Appice; Michelangelo Ceci; Donato Malerba; Antonietta Lanza

2011-10-01T23:59:59.000Z

223

A multi-regression analysis of airline indirect operating costs  

E-Print Network (OSTI)

A multiple regression analysis of domestic and local airline indirect costs was carried out to formulate cost estimating equations for airline indirect costs. Data from CAB and FAA sources covering the years 1962-66 was ...

Taneja, Nawal K.

1968-01-01T23:59:59.000Z

224

Robust mixture linear EIV regression models by t-distribution.  

E-Print Network (OSTI)

??A robust estimation procedure for mixture errors-in-variables linear regression models is proposed in the report by assuming the error terms follow a t-distribution. The estimation… (more)

Liu, Yantong

2012-01-01T23:59:59.000Z

225

Post-pruning in regression tree induction: An integrated approach  

Science Conference Proceedings (OSTI)

The regression tree (RT) induction process has two major phases: the growth phase and the pruning phase. The pruning phase aims to generalize the RT that was generated in the growth phase by generating a subtree that avoids over-fitting to the training ... Keywords: Analytic hierarchy process, Data mining, Decision tree, Mixed integer programming, Multi-objective programming, Performance measures, Post-pruning, Regression tree

Kweku-Muata Osei-Bryson

2008-02-01T23:59:59.000Z

226

A verifiable SSA program representation for aggressive compiler optimization  

Science Conference Proceedings (OSTI)

We present a verifiable low-level program representation to embed, propagate, and preserve safety information in high perfor-mance compilers for safe languages such as Java and C#. Our representation precisely encodes safety information via static single-assignment ... Keywords: SSA formalization, check elimination, intermediate representations, proof variables, safety dependences, type systems, typeability preservation, typed intermediate languages

Vijay S. Menon; Neal Glew; Brian R. Murphy; Andrew McCreight; Tatiana Shpeisman; Ali-Reza Adl-Tabatabai; Leaf Petersen

2006-01-01T23:59:59.000Z

227

A knowledge representation model for the nuclear power generation domain  

Science Conference Proceedings (OSTI)

A knowledge representation model for the nuclear power field is proposed. The model is a generalized production rule function inspired by a neural network approach that enables the representation of physical systems of nuclear power plants. The article ... Keywords: Knowledge representation, Nuclear power plant, Physical systems, Production rules

Thiago Tinoco Pires

2007-11-01T23:59:59.000Z

228

A model of computation and representation in the brain  

Science Conference Proceedings (OSTI)

The brain is first and foremost a control system that is capable of building an internal representation of the external world, and using this representation to make decisions, set goals and priorities, formulate plans, and control behavior with intent ... Keywords: Brain modeling, Cognitive modeling, Human neocortex, Image processing, Knowledge representation, Perception, Reverse engineering the brain, Segmentation, Signals to symbols

James S. Albus

2010-05-01T23:59:59.000Z

229

Bionic Inspired Information Representation for Autonomous Agents  

E-Print Network (OSTI)

In AI, different bionic inspired theories on memory have gained ground. On the one hand neuronal networks are often used to realize learning systems. On the other hand psychology influences engineers by introducing the models of implicit and explicit memory. While neurology leaves out the question how mental functions emerge out of the brain structure, psychology classifies information but does not make a statement on its structure. This article presents a psychoanalytic inspired approach on information representation introduced within the ARS project. A short overview on the ARS model is given and the psychoanalytic theory behind information representation is presented. The developed technical concept is introduced and a use case for testing the model is defined.

H. Zeilinger; R. Lang; B. Müller

2009-01-01T23:59:59.000Z

230

Representations of some quantum tori Lie subalgebras  

SciTech Connect

In this paper, we define the q-analog Virasoro-like Lie subalgebras in x{sub {infinity}}=a{sub {infinity}}(b{sub {infinity}}, c{sub {infinity}}, d{sub {infinity}}). The embedding formulas into x{sub {infinity}} are introduced. Irreducible highest weight representations of A(tilde sign){sub q}, B(tilde sign){sub q}, and C(tilde sign){sub q}-series of the q-analog Virasoro-like Lie algebras in terms of vertex operators are constructed. We also construct the polynomial representations of the A(tilde sign){sub q}, B(tilde sign){sub q}, C(tilde sign){sub q}, and D(tilde sign){sub q}-series of the q-analog Virasoro-like Lie algebras.

Jiang, Jingjing [College of Science, Civil Aviation University of China, Tianjin 300300 (China)] [College of Science, Civil Aviation University of China, Tianjin 300300 (China); Wang, Song [Department of Mathematics, Tongji University, Shanghai 200092 (China)] [Department of Mathematics, Tongji University, Shanghai 200092 (China)

2013-03-15T23:59:59.000Z

231

PART IV Â… REPRESENTATIONS AND INSTRUCTIONS  

NLE Websites -- All DOE Office Websites (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

232

PART IV Â… REPRESENTATIONS AND INSTRUCTIONS  

NLE Websites -- All DOE Office Websites (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

233

Thermodynamic representations of ammonia and isobutane  

DOE Green Energy (OSTI)

Tables of the thermodynamic properties of ammonia and isobutane are presented for the superheated vapor and the saturated liquid and vapor states. The properties were calculated using appropriate analytical pressure-volume-temperature (P-V-T) representations for the fluids in the regions described. The tables cover the approximate range of values of reduced temperatures up to 1.5 and reduced pressure up to 5.

Milora, S. L.; Combs, S. K.

1977-05-01T23:59:59.000Z

234

Linear Representations and Isospectrality with Boundary Conditions  

E-Print Network (OSTI)

We present a method for constructing families of isospectral systems, using linear representations of finite groups. We focus on quantum graphs, for which we give a complete treatment. However, the method presented can be applied to other systems such as manifolds and two-dimensional drums. This is demonstrated by reproducing some known isospectral drums, and new examples are obtained as well. In particular, Sunada's method is a special case of the one presented.

Ori Parzanchevski; Ram Band

2008-06-05T23:59:59.000Z

235

Magnetic monopole in the loop representation  

Science Conference Proceedings (OSTI)

We quantize, within the Loop Representation formalism, the electromagnetic field in the presence of a static magnetic pole. It is found that the loop-dependent physical wave functionals of the quantum Maxwell theory become multivalued, through a topological phase factor depending on the solid angle subtended at the monopole by a surface bounded by the loop. It is discussed how this fact generalizes what occurs in ordinary quantum mechanics in multiply connected spaces.

Leal, Lorenzo; Lopez, Alexander [Grupo de Campos y Particulas, Departamento de Fisica, Facultad de Ciencias, Universidad Central de Venezuela, AP 47270, Caracas 1041-A (Venezuela); Centro de Fisica, Instituto Venezolano de Investigaciones Cientificas, AP 21827, Caracas 1020-A, Venezuela, and Grupo de Campos y Particulas, Departamento de Fisica, Facultad de Ciencias, Universidad Central de Venezuela (Venezuela)

2006-01-15T23:59:59.000Z

236

Noise kernel for a quantum field in Schwarzschild spacetime under the Gaussian approximation  

E-Print Network (OSTI)

A method is given to compute an approximation to the noise kernel, defined as the symmetrized connected 2-point function of the stress tensor, for the conformally invariant scalar field in any spacetime conformal to an ultra-static spacetime for the case in which the field is in a thermal state at an arbitrary temperature. The most useful applications of the method are flat space where the approximation is exact and Schwarzschild spacetime where the approximation is better than it is in most other spacetimes. The two points are assumed to be separated in a timelike or spacelike direction. The method involves the use of a Gaussian approximation which is of the same type as that used by Page to compute an approximate form of the stress tensor for this field in Schwarzschild spacetime. All components of the noise kernel have been computed exactly for hot flat space and one component is explicitly displayed. Several components have also been computed for Schwarzschild spacetime and again one component is explicitly displayed.

A. Eftekharzadeh; Jason D. Bates; Albert Roura; Paul R. Anderson; B. L. Hu

2010-11-22T23:59:59.000Z

237

Original paper: Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis  

Science Conference Proceedings (OSTI)

Fusarium damage in wheat reduces the quality and safety of food and feed products. In this study, the use of hyperspectral imaging was investigated to detect fusarium damaged kernels (FDK) in Canadian wheat samples. Eight hundred kernels of Canada Western ... Keywords: Fusarium damage, Spectral imaging, Wheat

Muhammad A. Shahin; Stephen J. Symons

2011-01-01T23:59:59.000Z

238

B-spline nonparametric regression models and information criteria  

E-Print Network (OSTI)

Abstract. We consider the use of B-spline nonparametric regression models to analyze data with complex structure. The essential points of model construction in B-splines are the choice of the smoothing parameter and the number of basis functions. We investigate this problem from an information theoretic point of view and introduce a criterion as an estimator of Kullback-Leibler information. We also introduce B-spline nonlinear regression model with discontinuities or with heterogeneous error variances, and apply it to estimate the change points. Real data examples and numerical comparisons are used to examine the properties of the proposed method. Key words and phrases: Nonparametric regression, B-spline, Smoothing parameter, Information criteria, Change point.

Seiya Imoto; Sadanori Konishi

2000-01-01T23:59:59.000Z

239

Spark ignited turbulent flame kernel growth. Annual report, January--December 1991  

DOE Green Energy (OSTI)

An experimental study of the effect of spark power on the growth rate of spark-ignited flame kernels was conducted in a turbulent flow system at 1 atm, 300 K conditions. All measurements were made with premixed, propane-air at a fuel/air equivalence ratio of 0.93, with 0%, 8% or 14% dilution. Two flow conditions were studied: a low turbulence intensity case with a mean velocity of 1.25 m/sec and a turbulence intensity of 0.33 m/sec, and a high turbulence intensity case with a mean velocity of 1.04 m/sec and a turbulence intensity of 0.88 m/sec. The growth of the spark-ignited flame kernel was recorded over a time interval from 83 {mu}sec to 20 msec following the start of ignition using high speed laser shadowgraphy. In order to evaluate the effect of ignition spark power, tests were conducted with a long duration (ca 4 msec) inductive discharge ignition system with an average spark power of ca 14 watts and two short duration (ca 100 nsec) breakdown ignition systems with average spark powers of ca 6 {times} 10{sup 4} and ca 6 {times} 10{sup 5} watts. The results showed that increased spark power resulted in an increased growth rate, where the effect of short duration breakdown sparks was found to persist for times of the order of milliseconds. The effectiveness of increased spark power was found to be less at high turbulence and high dilution conditions. Increased spark power had a greater effect on the 0--5 mm burn time than on the 5--13 mm burn time, in part because of the effect of breakdown energy on the initial size of the flame kernel. And finally, when spark power was increased by shortening the spark duration while keeping the effective energy the same there was a significant increase in the misfire rate, however when the spark power was further increased by increasing the breakdown energy the misfire rate dropped to zero.

Santavicca, D.A.

1994-06-01T23:59:59.000Z

240

Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor  

Science Conference Proceedings (OSTI)

Several emerging petascale architectures use energy-efficient processors with vectorized computational units and in-order thread processing. On these architectures the sustained performance of streaming numerical kernels, ubiquitous in the solution of ... Keywords: Blue Gene/P, SIMD, code generation, high-performance computing, performance optimization

Tareq Malas, Aron J. Ahmadia, Jed Brown, John A. Gunnels, David E. Keyes

2013-05-01T23:59:59.000Z

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.


241

Graphical Representation of Supersymmetry and Computer Calculation  

E-Print Network (OSTI)

A graphical representation of supersymmetry is presented. It clearly expresses the chiral flow appearing in SUSY quantities, by representing spinors by {\\it directed lines} (arrows). The chiral suffixes are expressed by the directions (up, down, left, right) of the arrows. The SL(2,C) invariants are represented by {\\it wedges}. We are free from the messy symbols of spinor suffixes. The method is applied to the 5D supersymmetry. Many applications are expected. The result is suitable for coding a computer program and is highly expected to be applicable to various SUSY theories (including Supergravity) in various dimensions.

Shoichi Ichinose

2004-10-04T23:59:59.000Z

242

Immersive Representation of Building Information Model  

E-Print Network (OSTI)

Building Information Modeling (BIM) is an emerging technology that utilizes 3D graphical representations to improve communication, collaboration, and data exchange. Immersive Visualization Environment (IVE) is another promising technology that enhances the 3D graphical representation to achieve a higher level of a sense of presence. The connection between the BIM technology that utilizes the 3D graphical representation and the IVE technology that enhances the 3D graphical representation has led many professionals to visualize BIM in immersive environments. This study is an attempt to overcome a systematic issue presented by available immersive visualization systems. The problem is that in order to visualize an information-rich BIM model from a commercial BIM application in an immersive visualization environment, the BIM model needs to pass through a tough conversion process and loss a large amount of its information. This research study utilizes the Application Programming Interface (API) of a commercially available BIM application to develop an immersive visualization environment. This approach was applied on Autodesk Navisworks software by developing a software program that utilizes Navisworks' API to control Navisworks' camera angle and generate an immersive visualization environment. A prototype of the approach was built in the Department of Construction Science at Texas A & M University and named BIM CAVE Prototype. The overall goal of this research was to prove that it is possible to transform a commercial BIM application into an immersive visualization system. A phenomenological study was utilized by interviewing subject matter experts from the construction industry. The intent of this effort was to explore and develop a phenomenological understanding of how research participants perceived the BIM CAVE system. The results show that the BIM CAVE can be considered an immersive visualization environment because it contains a majority of the immersive visualization environment features. However, a variety of technical limitations must be overcome before it can be called a fully immersive and functional visualization environment. Moreover, even though this investigation was to some extent successful, this research approach needs to be tested on other commercially available BIM applications before generalizations are made.

Nseir, Hussam

2011-05-01T23:59:59.000Z

243

Norm continuous unitary representations of Lie algebras of smooth sections  

E-Print Network (OSTI)

We give a complete description of the bounded (i.e. norm continuous) unitary representations of the Fr\\'echet-Lie algebra of all smooth sections, as well as of the LF-Lie algebra of compactly supported smooth sections, of a smooth Lie algebra bundle whose typical fiber is a compact Lie algebra. For the Lie algebra of all sections, bounded unitary irreducible representations are finite tensor products of so-called evaluation representations, hence in particular finite-dimensional. For the Lie algebra of compactly supported sections, bounded unitary irreducible (factor) representations are possibly infinite tensor products of evaluation representations, which reduces the classification problem to results of Glimm and Powers on irreducible (factor) representations of UHF C*-algebras. The key part in our proof is the classification of irreducible bounded unitary representations of Lie algebras that are the tensor product of a compact Lie algebra and a unital real continuous inverse algebra: every such representation is a finite product of evaluation representations. On the group level, our results cover in particular the bounded unitary representations of the identity component of the group of smooth gauge transformations of a principal fiber bundle with compact base and structure group, and the connected component of the group of special unitary n times n matrices with values in an involutive commutative continuous inverse algebra.

Bas Janssens; Karl-Hermann Neeb

2013-02-11T23:59:59.000Z

244

Automated root cause isolation of performance regressions during software development  

Science Conference Proceedings (OSTI)

Performance is crucial for the success of an application. To build responsive and cost efficient applications, software engineers must be able to detect and fix performance problems early in the development process. Existing approaches are either relying ... Keywords: performance regression, root cause analysis

Christoph Heger; Jens Happe; Roozbeh Farahbod

2013-04-01T23:59:59.000Z

245

Polynomial regression with derivative information in nuclear reactor uncertainty quantification*  

E-Print Network (OSTI)

1 Polynomial regression with derivative information in nuclear reactor uncertainty quantification in the outputs. The usual difficulties in modeling the work of the nuclear reactor models include the large size, applying the existing AD tools to nuclear reactor models still takes considerable development effort

Anitescu, Mihai

246

Minimising the delta test for variable selection in regression problems  

Science Conference Proceedings (OSTI)

The problem of selecting an adequate set of variables from a given data set of a sampled function becomes crucial by the time of designing the model that will approximate it. Several approaches have been presented in the literature although recent studies ... Keywords: FBS, GAs, delta test, forward-backward search, genetic algorithms, hybrid algorithms, parallel architectures, regression problems, tabu search, variable selection

Alberto Guillen; Dusan Sovilj; Amaury Lendasse; Fernando Mateo; Ignacio Rojas

2008-03-01T23:59:59.000Z

247

MASTER'S PROJECT NONPARAMETRIC SURVEY REGRESSION ESTIMATION IN TWO-STAGE  

E-Print Network (OSTI)

Northeastern Lakes Survey. Siobhan Everson-Stewart Statistics Department Colorado State University Fort Collins data, aerial pho- tographs, or other sources. In a common survey situation, a statistical agency, oftenMASTER'S PROJECT NONPARAMETRIC SURVEY REGRESSION ESTIMATION IN TWO-STAGE SPATIAL SAMPLING Submitted

248

Multiple regression models of the volumetric stem biomass  

Science Conference Proceedings (OSTI)

The development of a simple model was presented for obtaining the volumetric stem biomass of a tropical tree species. To model the volumetric stem biomass, Cinnamomum of family Lauracea was chosen. Mensuration data were collected based on two volumetric ... Keywords: best model, correlation tests, interactions, multiple regression, selection criteria, stem volume, volumetric equations

Noraini Abdullah; Zainodin H. J. Jubok; J. B. Nigel Jonney

2008-07-01T23:59:59.000Z

249

Fuzzy regression model of R&D project evaluation  

Science Conference Proceedings (OSTI)

Engineering and technology play an important role in strengthening the competitive power of a company and in surviving a severe competition in the world. About 70% of the total R&D investment in Japan comes from the private sector. It is the most important ... Keywords: AHP, Fuzzy regression model, Management of technology and engineering, Project management, R&D

Shinji Imoto; Yoshiyuki Yabuuchi; Junzo Watada

2008-06-01T23:59:59.000Z

250

Book Reviews 935 Statistical Learning from a Regression Perspective  

E-Print Network (OSTI)

Book Reviews 935 Statistical Learning from a Regression Perspective R. A. Berk, 2008 New York developed statistical learning techniques. The emphasis in the book is more on the applications in detail. This book should be of interest to statisticians for a few reasons. Firstly, it gathers together

Carlin, Bradley P.

251

DYNA3D/ParaDyn Regression Test Suite Inventory  

Science Conference Proceedings (OSTI)

The following table constitutes an initial assessment of feature coverage across the regression test suite used for DYNA3D and ParaDyn. It documents the regression test suite at the time of production release 10.1 in September 2010. The columns of the table represent groupings of functionalities, e.g., material models. Each problem in the test suite is represented by a row in the table. All features exercised by the problem are denoted by a check mark in the corresponding column. The definition of ''feature'' has not been subdivided to its smallest unit of user input, e.g., algorithmic parameters specific to a particular type of contact surface. This represents a judgment to provide code developers and users a reasonable impression of feature coverage without expanding the width of the table by several multiples. All regression testing is run in parallel, typically with eight processors. Many are strictly regression tests acting as a check that the codes continue to produce adequately repeatable results as development unfolds, compilers change and platforms are replaced. A subset of the tests represents true verification problems that have been checked against analytical or other benchmark solutions. Users are welcomed to submit documented problems for inclusion in the test suite, especially if they are heavily exercising, and dependent upon, features that are currently underrepresented.

Lin, J I

2011-01-25T23:59:59.000Z

252

Robust likelihood inference for regression parameters in partially linear models  

Science Conference Proceedings (OSTI)

A robust likelihood approach is proposed for inference about regression parameters in partially-linear models. More specifically, normality is adopted as the working model and is properly corrected to accomplish the objective. Knowledge about the true ... Keywords: Generalized additive models, Partially-linear models, Robust likelihood

Chung-Wei Shen; Tsung-Shan Tsou; N. Balakrishnan

2011-04-01T23:59:59.000Z

253

Semiparametric regression with shape-constrained penalized splines  

Science Conference Proceedings (OSTI)

In semiparametric regression models, penalized splines can be used to describe complex, non-linear relationships between the mean response and covariates. In some applications it is desirable to restrict the shape of the splines so as to enforce properties ... Keywords: Linear mixed model, MCMC, Shape constraint, Spline, Truncated multivariate normal

Martin L. Hazelton; Berwin A. Turlach

2011-10-01T23:59:59.000Z

254

Dictionary Optimization for Block-Sparse Representations  

E-Print Network (OSTI)

Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has motivated the derivation of learning methods for designing a dictionary which leads to the sparsest representation for a given set of signals. In some applications, the signals of interest can have further structure, so that they can be well approximated by a union of a small number of subspaces (e.g., face recognition and motion segmentation). This implies the existence of a dictionary which enables block-sparse representations of the input signals once its atoms are properly sorted into blocks. In this paper, we propose an algorithm for learning a block-sparsifying dictionary of a given set of signals. We do not require prior knowledge on the association of signals into groups (subspaces). Instead, we develop a method that automatically detects the underlying block structure. This is achieved by iteratively alternating between upda...

Rosenblum, Kevin; Eldar, Yonina C

2010-01-01T23:59:59.000Z

255

Extraction of Typographic Elements from Outline Representations of Fonts  

E-Print Network (OSTI)

Digital typefaces for computer graphics and multimedia applications must be capable of supporting operations such as font variations, transformations, deformations and blending. A powerful implementation of such operations must rely on the inherent typographic attributes of the typeface. However, even today's most advanced typeface representations support only geometric outline representations and basic font variations. In this paper we discuss high-level typeface representations which we term Parametric Typographic Representations (PTRs). We present an algorithm for automatically extracting typographic elements of typefaces from their outline representation, which is an essential initial step in converting typefaces from outline representations to PTRs. The extracted typographic elements include serifs, bars, stems, slants, bows, arcs, curve stems and curve bars. Most notable is the treatment of serifs, which are represented by finite-automata. The algorithm only needs to learn a ser...

Ariel Shamir; Ari Rappoport

1996-01-01T23:59:59.000Z

256

Vector Representation as a Tool for Detecting Characteristic Uranium Peaks.  

E-Print Network (OSTI)

??Vector representation is found as a viable tool for identifying the presence of and determining the difference between enriched and naturally occurring uranium. This was… (more)

Forney, Anne Marie

2012-01-01T23:59:59.000Z

257

Waste Isolation Pilot Plant Carlsbad, New Mexico REPRESENTATIONS...  

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

bottom of this page. The representations and certifications shall apply based on the dollar value of this offer and the specific solicitation provisions and instructions...

258

Boundary representations and pure completely positive maps  

E-Print Network (OSTI)

In 2006, Arveson resolved a long-standing problem by showing that for any element $x$ of a separable self-adjoint unital subspace $S\\subseteq B(H)$, $\\|x\\|=\\sup\\|\\pi(x)\\|$, where $\\pi$ runs over the boundary representations for $S$. Here we show that "sup" can be replaced by "max". This implies that the Choquet boundary for a separable operator system is a boundary in the classical sense; a similar result is obtained in terms of pure matrix states when $S$ is not assumed to be separable. For matrix convex sets associated to operator systems in matrix algebras, we apply the above results to improve the Webster-Winkler Krein-Milman theorem.

Kleski, Craig

2011-01-01T23:59:59.000Z

259

Variational estimates using a discrete variable representation  

SciTech Connect

The advantage of using a discrete variable representation (DVR) is that the Hamiltonian of two interacting particles can be constructed in a very simple form. However, the DVR Hamiltonian is approximate and, as a consequence, the results cannot be considered as variational ones. We will show that the variational character of the results can be restored by performing a reduced number of integrals. In practice, for a variational description of the lowest n bound states only n(n+1)/2 integrals are necessary whereas D(D+1)/2 integrals are enough for the scattering states (D is the dimension of the S matrix). Applications of the method to the study of dimers of He, Ne and Ar, for both bound and scattering states, are presented.

Lombardi, M.; Barletta, P.; Kievsky, A. [Istituto Nazionale di Fisica Nucleare, Via Buonarroti 2, 56100 Pisa (Italy); Dipartimento di Fisica, Universita di Pisa, 56100 Pisa (Italy)

2004-09-01T23:59:59.000Z

260

LR: Compact connectivity representation for triangle meshes  

Science Conference Proceedings (OSTI)

We propose LR (Laced Ring) - a simple data structure for representing the connectivity of manifold triangle meshes. LR provides the option to store on average either 1.08 references per triangle or 26.2 bits per triangle. Its construction, from an input mesh that supports constant-time adjacency queries, has linear space and time complexity, and involves ordering most vertices along a nearly-Hamiltonian cycle. LR is best suited for applications that process meshes with fixed connectivity, as any changes to the connectivity require the data structure to be rebuilt. We provide an implementation of the set of standard random-access, constant-time operators for traversing a mesh, and show that LR often saves both space and traversal time over competing representations.

Gurung, T; Luffel, M; Lindstrom, P; Rossignac, J

2011-01-28T23:59:59.000Z

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

Matrix representation of the time operator  

SciTech Connect

In quantum mechanics the time operator {Theta} satisfies the commutation relation [{Theta}, H]=i, and thus it may be thought of as being formally canonically conjugate to the Hamiltonian H. The time operator associated with a given Hamiltonian H is not unique because one can replace {Theta} by {Theta}+{Theta}{sub hom}, where {Theta}{sub hom} satisfies the homogeneous condition [{Theta}{sub hom}, H]= 0. To study this nonuniqueness the matrix elements of {Theta} for the harmonic-oscillator Hamiltonian are calculated in the eigenstate basis. This calculation requires the summation of divergent series, and the summation is accomplished by using zeta-summation techniques. It is shown that by including appropriate homogeneous contributions, the matrix elements of {Theta} simplify dramatically. However, it is still not clear whether there is an optimally simple representation of the time operator.

Bender, Carl M. [Department of Physics, Kings College London, Strand, London WC2R 1LS (United Kingdom); Gianfreda, Mariagiovanna [Dipartimento di Matematica e Fisica, Universita del Salento and I.N.F.N. Sezione di Lecce, Via Arnesano, I-73100 Lecce (Italy)

2012-06-15T23:59:59.000Z

262

Load transfer coupling regression curve fitting for distribution load forecasting  

SciTech Connect

The planning of distribution facilities requires forecasts of future substation and feeder loads. Extrapolation based on a curve fit to past annual peak loads is currently the most popular manner of accomplishing this forecast. Curve fitting suffers badly from data shifts caused by switching as loads are routinely moved from one substation to another during the course of utility operations. This switching contaminates the data, reducing forecast accuracy. A new regression application reduces error due to these transfers by over an order of magnitude. A key to the usefulness of this method is that the amount of the transfer, and its direction (whether it was to or from a substation), is not a required input. The new technique, aspects of computer implementation of it, and a series of tests showing its advantage over normal multiple regression methods are given.

Willis, H.L.; Powell, R.W.

1984-05-01T23:59:59.000Z

263

Low-Rank Separated Representation Surrogates of High-Dimensional Stochastic Functions: Application in Bayesian Inference  

E-Print Network (OSTI)

This study introduces a non-intrusive approach in the context of low-rank separated representation to construct a surrogate of high-dimensional stochastic functions, e.g., PDEs/ODEs, in order to decrease the computational cost of Markov Chain Monte Carlo simulations in Bayesian inference. The surrogate model is constructed via a regularized alternative least-square regression with Tikhonov regularization using a roughening matrix computing the gradient of the solution, in conjunction with a perturbation-based error indicator to detect optimal model complexities. The model approximates a vector of a continuous solution at discrete values of a physical variable. The required number of random realizations to achieve a successful approximation linearly depends on the function dimensionality. The computational cost of the model construction is quadratic in the number of random inputs, which potentially tackles the curse of dimensionality in high-dimensional stochastic functions. Furthermore, this vector valued sep...

Validi, AbdoulAhad

2013-01-01T23:59:59.000Z

264

Poisson Regression Analysis of Illness and Injury Surveillance Data  

Science Conference Proceedings (OSTI)

The Department of Energy (DOE) uses illness and injury surveillance to monitor morbidity and assess the overall health of the work force. Data collected from each participating site include health events and a roster file with demographic information. The source data files are maintained in a relational data base, and are used to obtain stratified tables of health event counts and person time at risk that serve as the starting point for Poisson regression analysis. The explanatory variables that define these tables are age, gender, occupational group, and time. Typical response variables of interest are the number of absences due to illness or injury, i.e., the response variable is a count. Poisson regression methods are used to describe the effect of the explanatory variables on the health event rates using a log-linear main effects model. Results of fitting the main effects model are summarized in a tabular and graphical form and interpretation of model parameters is provided. An analysis of deviance table is used to evaluate the importance of each of the explanatory variables on the event rate of interest and to determine if interaction terms should be considered in the analysis. Although Poisson regression methods are widely used in the analysis of count data, there are situations in which over-dispersion occurs. This could be due to lack-of-fit of the regression model, extra-Poisson variation, or both. A score test statistic and regression diagnostics are used to identify over-dispersion. A quasi-likelihood method of moments procedure is used to evaluate and adjust for extra-Poisson variation when necessary. Two examples are presented using respiratory disease absence rates at two DOE sites to illustrate the methods and interpretation of the results. In the first example the Poisson main effects model is adequate. In the second example the score test indicates considerable over-dispersion and a more detailed analysis attributes the over-dispersion to extra-Poisson variation. The R open source software environment for statistical computing and graphics is used for analysis. Additional details about R and the data that were used in this report are provided in an Appendix. Information on how to obtain R and utility functions that can be used to duplicate results in this report are provided.

Frome E.L., Watkins J.P., Ellis E.D.

2012-12-12T23:59:59.000Z

265

Expanded bag of words representation for object classification  

Science Conference Proceedings (OSTI)

Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationship among visual words, which could provide informative knowledge to understand ... Keywords: bag of words, object classification, query expansion, spatial correlation

Tinglin Liu; Jing Liu; Qinshan Liu; Hanqing Lu

2009-11-01T23:59:59.000Z

266

Non-linear image representation based on IDP with NN  

Science Conference Proceedings (OSTI)

In this paper is offered a method for non-linear still image representation based on pyramidal decomposition with a neural network. This approach is developed by analogy with the hypothesis for the way humans do image recognition using consecutive approximations ... Keywords: neural networks, non-linear image representation, pyramidal decomposition

Roumen Kountchev; Stuart Rubin; Mariofanna Milanova; Vladimir Todorov; Roumiana Kountcheva

2009-09-01T23:59:59.000Z

267

Learning parts-based representation for face transition  

Science Conference Proceedings (OSTI)

This paper proposes to learn parts-based face representation from real face samples and then applies it to face transition. It differs from previous works in two aspects. First, we learn flexible face decomposition from real faces unsupervisedly instead ... Keywords: constrained em algorithm, face synthesis, face transition, parts-based representation

Xiong Li; Liwei Wang; Huanxi Liu; Yuncai Liu

2010-10-01T23:59:59.000Z

268

Texas Tech University Knowledge Representation Group Reasoning about agents intentions  

E-Print Network (OSTI)

1 Texas Tech University Knowledge Representation Group Reasoning about agents intentions Justin Blount and Michael Gelfond October 17, 2011 #12;2 Texas Tech University Knowledge Representation Group) and a rational agents response to the failure of a plan to achieve its goal. #12;3 Texas Tech University

Zhang, Yuanlin

269

Texas Tech University Knowledge Representation Group Modular Action Language ALM  

E-Print Network (OSTI)

1 Texas Tech University Knowledge Representation Group Modular Action Language ALM Michael Gelfond and Daniela Inclezan Computer Science Department Texas Tech University February 11, 2010 #12;2 Texas Tech for specifying such diagrams. #12;3 Texas Tech University Knowledge Representation Group Action Languages and ASP

Zhang, Yuanlin

270

On Kusuoka Representation of Law Invariant Risk Measures  

Science Conference Proceedings (OSTI)

In this paper we discuss representations of law invariant coherent risk measures in a form of integrals of the average value-at-risk measures. We show that such an integral representation exists iff the dual set of the considered risk measure is generated ... Keywords: Fenchel-Moreau theorem, average value-at-risk, coherent risk measures, comonotonic risk measures, law invariance

Alexander Shapiro

2013-02-01T23:59:59.000Z

271

Extremal Properties of Bases for Representations of Semisimple Lie Algebras  

Science Conference Proceedings (OSTI)

Let \\cal L be a complex semisimple Lie algebra with specified Chevalley generators. Let V be a finite dimensional representation of \\cal L with weight basis \\cal B. The supporting graph P of \\cal ... Keywords: irreducible representations, semisimple Lie algebras, supporting graphs

Robert G. Donnelly

2003-05-01T23:59:59.000Z

272

Mixture representations for the reliability of consecutive-k systems  

Science Conference Proceedings (OSTI)

In this paper, we obtain representations for the reliability of consecutive type systems as a mixture of the reliability of order statistics whenever the systems consist of exchangeable components. The representations enable us to compute the reliability ... Keywords: Consecutive k-out-of- n system, Consecutive k-within-m-out-of-n system, Maximal signature, Minimal signature, Order statistics, System reliability, System signature

Serkan Ery?Lmaz

2010-03-01T23:59:59.000Z

273

MRM: A matrix representation and mapping approach for knowledge acquisition  

Science Conference Proceedings (OSTI)

Knowledge acquisition plays a critical role in constructing a knowledge-based system (KBS). It is the most time-consuming phase and has been recognized as the bottleneck of KBS development. This paper presents a matrix representation and mapping (MRM) ... Keywords: General sorting, Knowledge acquisition, Knowledge-based systems, Matrix representation and mapping, Rule generation

Chun-Hsien Chen; Zhiming Rao

2008-05-01T23:59:59.000Z

274

Preservice teachers' knowledge of linear functions within multiple representation modes  

E-Print Network (OSTI)

This study examines preservice teachers’ knowledge in the case of linear functions. Teachers’ knowledge in general consists of their subject matter knowledge and their pedagogical content knowledge. In this study, teachers’ subject matter knowledge is examined by looking at their ability to adapt to different representation modes. The framework for subject matter content knowledge consists of five components: (1) flexibility across formal mathematical symbolisms; (2) flexibility between visual and algebraic representations; (3) flexibility within visual representations; (4) flexibility with real-life situations, and (5) procedural skills. In terms of pedagogical content knowledge, two aspects were examined across five corresponding components. These two aspects were knowledge of students’ conceptions and misconceptions, and teachers’ teaching strategies. The primary source of data for the study was from two tests and six interviews. The results showed preservice teachers performed poorly in terms of representation flexibility. Furthermore, most of the preservice teachers had limited knowledge of the nature and sources of students’ mistakes as well as effective teaching strategies to help students with their misconceptions. In terms of knowledge structure, representation flexibility was found to be significant in both CK and PCK compared to procedural skills. Moreover, the representational flexibility in terms of CK seemed to strongly predict the overall PCK performance. Representational flexibility seemed to be related to the use of instructional representations. Overall, there was a strong relationship between various components of CK and PCK.

You, Zhixia

2006-08-01T23:59:59.000Z

275

Tradeo s in the Intensional Representation of Lambda Terms  

E-Print Network (OSTI)

Tradeo#11;s in the Intensional Representation of Lambda Terms Chuck Liang 1 and Gopalan Nadathur 2 depend on the implementation of an intensional view of the terms of suitable typed lambda calculi. Re#12: the de Bruijn representation of bound variables, the explicit encoding of substitutions in terms

Nadathur, Gopalan

276

Hooks generate the representation ring of the symmetric group  

E-Print Network (OSTI)

We prove that the representation ring of the symmetric group on $n$ letters is generated by the exterior powers of its natural $(n-1)$-dimensional representation. The proof we give illustrates a strikingly simple formula due to Y. Dvir. We provide an application and investigate a possible generalization of this result to some other reflection groups.

Marin, Ivan

2011-01-01T23:59:59.000Z

277

Representation-independent manipulations with Dirac matrices and spinors  

E-Print Network (OSTI)

Dirac matrices, also known as gamma matrices, are defined only up to a similarity transformation. Usually, some explicit representation of these matrices is assumed in order to deal with them. In this article, we show how it is possible to proceed without any such assumption. Various important identities involving Dirac matrices and spinors have been derived without assuming any representation at any stage.

Palash B. Pal

2007-03-23T23:59:59.000Z

278

Palm Oil: Production, Processing, Uses, and CharacterizationChapter 8 Palm and Palm Kernel Oil Production and Processing in Malaysia and Indonesia  

Science Conference Proceedings (OSTI)

Palm Oil: Production, Processing, Uses, and Characterization Chapter 8 Palm and Palm Kernel Oil Production and Processing in Malaysia and Indonesia Food Science Health Nutrition Biochemistry Processing eChapters Food Science & Technology

279

Palm Oil: Production, Processing, Uses, and CharacterizationChapter 17 Enzymatic and Chemical Modification of Palm Oil, Palm Kernel Oil, and Its Fractions  

Science Conference Proceedings (OSTI)

Palm Oil: Production, Processing, Uses, and Characterization Chapter 17 Enzymatic and Chemical Modification of Palm Oil, Palm Kernel Oil, and Its Fractions Food Science Health Nutrition Biochemistry Processing eChapters Food Science & Te

280

Low-Rank Separated Representation Surrogates of High-Dimensional Stochastic Functions: Application in Bayesian Inference  

E-Print Network (OSTI)

This study introduces a non-intrusive approach in the context of low-rank separated representation to construct a surrogate of high-dimensional stochastic functions, e.g., PDEs/ODEs, in order to decrease the computational cost of Markov Chain Monte Carlo simulations in Bayesian inference. The surrogate model is constructed via a regularized alternative least-square regression with Tikhonov regularization using a roughening matrix computing the gradient of the solution, in conjunction with a perturbation-based error indicator to detect optimal model complexities. The model approximates a vector of a continuous solution at discrete values of a physical variable. The required number of random realizations to achieve a successful approximation linearly depends on the function dimensionality. The computational cost of the model construction is quadratic in the number of random inputs, which potentially tackles the curse of dimensionality in high-dimensional stochastic functions. Furthermore, this vector valued separated representation-based model, in comparison to the available scalar-valued case, leads to a significant reduction in the cost of approximation by an order of magnitude equal to the vector size. The performance of the method is studied through its application to three numerical examples including a 41-dimensional elliptic PDE and a 21-dimensional cavity flow.

AbdoulAhad Validi

2013-06-23T23:59:59.000Z

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

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, for forecasting future technology choices it is creates a rigid representation of how future energy is used. This representation can restrict the range of technology choices considered, particularly for fuel switching and on-site conversion processes such as combined heat and power (CHP). This paper discusses the differences between energy end-uses and service demands, proposes an approach for approximating service demands and discusses the ramifications of this alternative representation to energy modeling. An example for food products manufacturing (NAICS 311) is provided as an example.

Elliott, N. R.

2007-01-01T23:59:59.000Z

282

A variable spread fuzzy linear regression model with higher explanatory power and forecasting accuracy  

Science Conference Proceedings (OSTI)

Fuzzy regression models have been applied to operational research (OR) applications such as forecasting. Some of previous studies on fuzzy regression analysis obtain crisp regression coefficients for eliminating the problem of increasing spreads for ... Keywords: Forecasting, Fuzzy inference, Fuzzy sets, Linear regression, Mathematical programming

Shih-Pin Chen; Jr-Fong Dang

2008-10-01T23:59:59.000Z

283

Noise Kernel in Stochastic Gravity and Stress Energy Bi-Tensor of Quantum Fields in Curved Spacetimes  

E-Print Network (OSTI)

The noise kernel is the vacuum expectation value of the (operator-valued) stress-energy bi-tensor which describes the fluctuations of a quantum field in curved spacetimes. It plays the role in stochastic semiclassical gravity based on the Einstein-Langevin equation similar to the expectation value of the stress-energy tensor in semiclassical gravity based on the semiclassical Einstein equation. According to the stochastic gravity program, this two point function (and by extension the higher order correlations in a hierarchy) of the stress energy tensor possesses precious statistical mechanical information of quantum fields in curved spacetime and, by the self-consistency required of Einstein's equation, provides a probe into the coherence properties of the gravity sector (as measured by the higher order correlation functions of gravitons) and the quantum nature of spacetime. It reflects the low and medium energy (referring to Planck energy as high energy) behavior of any viable theory of quantum gravity, including string theory. It is also useful for calculating quantum fluctuations of fields in modern theories of structure formation and for backreaction problems in cosmological and black holes spacetimes. We discuss the properties of this bi-tensor with the method of point-separation, and derive a regularized expression of the noise-kernel for a scalar field in general curved spacetimes. One collorary of our finding is that for a massless conformal field the trace of the noise kernel identically vanishes. We outline how the general framework and results derived here can be used for the calculation of noise kernels for Robertson-Walker and Schwarzschild spacetimes.

Nicholas G Phillips; B. L. Hu

2000-10-05T23:59:59.000Z

284

Genetic Loci Related to Kernel Quality Differences between a Soft and a Hard Wheat Cultivar  

E-Print Network (OSTI)

ABSTRACT processing and end-use characteristics, which depend Hybridizations between hard and soft wheat types could be a source on protein hydration and development through mixing. of novel variation for wheat quality improvement. This study was con- Hard wheat is generally used for making bread-type ducted to identify genomic regions related to differences in milling and products, and soft wheat is generally preferred for baking quality between a soft and a hard cultivar of hexaploid wheat pastry-type products. Hard grain requires more energy (Triticum aestivum L.). A population of 101 double-haploid lines was to be reduced to flour than soft grain, and its starch generated from a cross between Grandin, a hard spring wheat variety, and AC Reed, a soft spring wheat variety. The genetic map included 320 markers in 43 linkage groups and spanned 3555 cM. Quadrumat-milled flour yield, softness equivalent, flour protein content and alkaline water retention capacity were evaluated for three locations and one year, and Allis-Chalmers milling, mixograph, and cookie baking tests were completed without replication. The effect of qualitative variation for kernel texture, caused by the segregation of the Hardness gene, was granules are damaged more during milling. Damaged

Flávio Breseghello; Patrick L. Finney; Charles Gaines; Lonnie Andrews; James Tanaka; Gregory Penner; Mark E. Sorrells

2005-01-01T23:59:59.000Z

285

Exploring nonlinear regression methods, with application to association studies  

E-Print Network (OSTI)

Glossary of Symbols Below is an outline of the notation I use throughout this thesis. Data Variables n - number of samples, indexed by the variable i. N - number of predictors, indexed by the variable g. X - predictor matrix (size n×N). Y - response vector... can also be applied to non-tertiary predictors, carries out MCMC sampling with the addition of Sampling Stage Four. iv Contents Summary i Glossary of Symbols ii List of Abbreviations iii Algorithm Schematic iv 1 Introduction 1 1.1 Regression Notation...

Speed, Douglas Christopher

2011-07-12T23:59:59.000Z

286

Topics in ordinal logistic regression and its applications  

E-Print Network (OSTI)

Sample size calculation methods for ordinal logistic regression are proposed to test statistical hypotheses. The author was motivated to do this work by the need for statistical analysis of the red imported ?re ants data. The proposed methods use the concept of approximation by the moment-generating function. Some correction methods are also suggested. When a prior data set is available, an empirical method is explored. Application of the proposed methodology to the ?re ant mating ?ight data is demonstrated. The proposed sample size and power calculation methods are applied in the hypothesis testing problems. Simulation studies are also conducted to illustrate their performance and to compare them with existing methods.

Kim, Hyun Sun

2004-08-01T23:59:59.000Z

287

Sum-of-Gaussians representation of sunshape  

SciTech Connect

The angular distribution of sunlight reaching the earth varies considerably because of interaction with the atmosphere. Five typical sunshapes, chosen from the widest to the narrowest shape in the Lawrence Berkeley Laboratory data, are approximated by a sum of six Gaussian distributions. In many applications sunshapes are convolved with error-cone distributions that represent a statistical description of uncertainties encountered in an optical concentrating system. Sunshape convolution with a series of circular-normal error cones indicates that the effective sunshape is well represented by analytic convolution between the error cone and the sum of Gaussians. This analytic convolution can replace the more costly (in time and computer storage) numerical methods for convolving the error cone and the experimental sunshape distribution. Results of both calculation methods are found to be consistent when the dispersion of the error cone is greater than 0.0012. A simple prescription indicates how each of the analytic representations may be transformed to approximate sunshapes appropriate for slightly different atmospheric conditions. The analytic form of the effective sunshape is given as a sum of six elliptic-normal distributions when the error cone is an elliptic-normal distribution.

Vittitoe, C.N.; Biggs, F.

1980-09-01T23:59:59.000Z

288

Wavelet Support Vector Machines for Forecasting Precipitation in Tropical Cyclones: Comparisons with GSVM, Regression, and MM5  

Science Conference Proceedings (OSTI)

This study presents two support vector machine (SVM) based models for forecasting hourly precipitation during tropical cyclone (typhoon) events. The two SVM-based models are the traditional Gaussian kernel SVMs (GSVMs) and the advanced wavelet ...

Chih-Chiang Wei

2012-04-01T23:59:59.000Z

289

Selection and Characterization of Carbon Black and Surfactants for Development of Small Scale Uranium Oxicarbide Kernels  

SciTech Connect

This report supports the effort for development of small scale fabrication of UCO (a mixture of UO{sub 2} and UC{sub 2}) fuel kernels for the generation IV high temperature gas reactor program. In particular, it is focused on optimization of dispersion conditions of carbon black in the broths from which carbon-containing (UO{sub 2} {center_dot} H{sub 2}O + C) gel spheres are prepared by internal gelation. The broth results from mixing a hexamethylenetetramine (HMTA) and urea solution with an acid-deficient uranyl nitrate (ADUN) solution. Carbon black, which is previously added to one or other of the components, must stay dispersed during gelation. The report provides a detailed description of characterization efforts and results, aimed at identification and testing carbon black and surfactant combinations that would produce stable dispersions, with carbon particle sizes below 1 {micro}m, in aqueous HMTA/urea and ADUN solutions. A battery of characterization methods was used to identify the properties affecting the water dispersability of carbon blacks, such as surface area, aggregate morphology, volatile content, and, most importantly, surface chemistry. The report introduces the basic principles for each physical or chemical method of carbon black characterization, lists the results obtained, and underlines cross-correlations between methods. Particular attention is given to a newly developed method for characterization of surface chemical groups on carbons in terms of their acid-base properties (pK{sub a} spectra) based on potentiometric titration. Fourier-transform infrared (FTIR) spectroscopy was used to confirm the identity of surfactants, both ionic and non-ionic. In addition, background information on carbon black properties and the mechanism by which surfactants disperse carbon black in water is also provided. A list of main physical and chemical properties characterized, samples analyzed, and results obtained, as well as information on the desired trend or range of values generally associated with better dispersability, is provided in the Appendix. Special attention was given to characterization of several surface-modified carbon blacks produced by Cabot Corporation through proprietary diazonium salts chemistry. As demonstrated in the report, these advanced carbons offer many advantages over traditional dispersions. They disperse very easily, do not require intensive mechanical shearing or sonication, and the particle size of the dispersed carbon black aggregates is in the target range of 0.15-0.20 {micro}m. The dispersions in water and HMTA/urea solutions are stable for at least 30 days; in conditions of simulated broth, the dispersions are stable for at least 6 hours. It is proposed that the optimization of the carbon black dispersing process is possible by replacing traditional carbon blacks and surfactants with surface-modified carbon blacks having suitable chemical groups attached on their surface. It is recognized that the method advanced in this report for optimizing the carbon black dispersion process is based on a limited number of tests made in aqueous and simulated broth conditions. The findings were corroborated by a limited number of tests carried out with ADUN solutions by the Nuclear Science and Technology Division at Oak Ridge National Laboratory (ORNL). More work is necessary, however, to confirm the overall recommendation based on the findings discussed in this report: namely, that the use of surface-modified carbon blacks in the uranium-containing broth will not adversely impact the chemistry of the gelation process, and that high quality uranium oxicarbide (UCO) kernels will be produced after calcination.

Contescu, Cristian I [ORNL

2006-01-01T23:59:59.000Z

290

The Institute for Public Representation, on behalf of the Potomac  

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

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

291

Representation Error of Oceanic Observations for Data Assimilation  

Science Conference Proceedings (OSTI)

A simple approach to the estimation of representation error (RE) of sea level (?), temperature (T), and salinity (S) observations for ocean data assimilation is described. It is assumed that the main source of RE is due to unresolved processes ...

Peter R. Oke; Pavel Sakov

2008-06-01T23:59:59.000Z

292

Semantic representation of digital ink in the classroom learning partner  

E-Print Network (OSTI)

The research presented in this thesis addresses a critical issue in the introduction of new tablet-PC-based educational technology in the classroom: interpretation and semantic representation of digital ink. The teaching ...

Rbeiz, Michel A

2006-01-01T23:59:59.000Z

293

Stimulus Simplification and Object Representation: A Modeling Study  

E-Print Network (OSTI)

Tsunoda et al. (2001) recently studied the nature of object representation in monkey inferotemporal cortex using a combination of optical imaging and extracellular recordings. In particular, they examined IT neuron ...

Knoblich, Ulf

2002-03-15T23:59:59.000Z

294

The Role of Knowledge in Visual Shape Representation  

E-Print Network (OSTI)

This report shows how knowledge about the visual world can be built into a shape representation in the form of a descriptive vocabulary making explicit the important geometrical relationships comprising objects' shapes. ...

Saund, Eric

1988-10-01T23:59:59.000Z

295

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.

296

Karhunen-Loeve representation of stochastic ocean waves  

E-Print Network (OSTI)

A new stochastic representation of a seastate is developed based on the Karhunen–Loeve spectral decomposition of stochastic signals and the use of Slepian prolate spheroidal wave functions with a tunable bandwidth parameter. ...

Sclavounos, Paul D.

297

An Alternate Graphical Representation of Periodic table of Chemical Elements  

E-Print Network (OSTI)

Periodic table of chemical elements symbolizes an elegant graphical representation of symmetry at atomic level and provides an overview on arrangement of electrons. It started merely as tabular representation of chemical elements, later got strengthened with quantum mechanical description of atomic structure and recent studies have revealed that periodic table can be formulated using SO(4,2)* SU(2) group. IUPAC, the governing body in Chemistry, doesn't approve any periodic table as a standard periodic table. The only specific recommendation provided by IUPAC is that the periodic table should follow the 1 to 18 group numbering. In this technical paper, we describe a new graphical representation of periodic table, referred as 'Circular form of Periodic table'. The advantages of circular form of periodic table over other representations are discussed along with a brief discussion on history of periodic tables.

Mohd Abubakr

2009-10-01T23:59:59.000Z

298

Efficient representation of linguistic knowledge for continuous speech understanding  

Science Conference Proceedings (OSTI)

This paper describes a linguistic knowledge representation technique suitable for reducing analysis time and memory requirements in a parser for continuous speech. Parsing speech, having to process a lattice of word hypotheses instead of a string of ...

P. Baggia; E. Gerbino; E. Giachin; C. Rullent

1991-08-01T23:59:59.000Z

299

Containing the opposition : selective representation in Jordan and Turkey  

E-Print Network (OSTI)

How does elite manipulation of election mechanisms affect the representation of political regime opponents? While the spread of elections has reached all the continents, the number of actual democracies has not increased ...

Wakeman, Raffaela Lisette

2009-01-01T23:59:59.000Z

300

Adinkras: A Graphical Technology for Supersymmetric Representation Theory  

E-Print Network (OSTI)

We present a symbolic method for organizing the representation theory of one-dimensional superalgebras. This relies on special objects, which we have called adinkra symbols, which supply tangible geometric forms to the still-emerging mathematical basis underlying supersymmetry.

Michael Faux; S. J. Gates Jr

2004-08-02T23:59:59.000Z

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.


301

A computational approach to custom data representation for hardware accelerators  

Science Conference Proceedings (OSTI)

This thesis details the application of computational methods to the problem of determining custom data representations when building hardware accelerators for numerical computations. A majority of scientific applications which require hardware ...

Adam B. Kinsman

2010-01-01T23:59:59.000Z

302

Magic Wand Approach to Representation of Personal Technologies  

Science Conference Proceedings (OSTI)

This paper considers and analysis the idea of magic wand as approach to representation new technologies, their implementability, application and use in different object domain. Magic wand approach in its currently implementable form is suggested to be ...

Victor Malyshkin

2010-08-01T23:59:59.000Z

303

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; Rémi Rhodes; Vincent Vargas

2013-02-25T23:59:59.000Z

304

A Degeneracy in Cross-Validated Skill in Regression-based Forecasts  

Science Conference Proceedings (OSTI)

Highly negative skill scores may occur in regression-based experimental forecast trials in which the data being forecast are withheld in turn from a fixed sample, and the remaining data are used to develop regression relationships-that is, ...

Anthony G. Barnston; Huug M. van den Dool

1993-05-01T23:59:59.000Z

305

Application and Comparison of Robust Linear Regression Methods for Trend Estimation  

Science Conference Proceedings (OSTI)

In this study, robust parametric regression methods are applied to temperature and precipitation time series in Switzerland and the trend results are compared with trends from classical least squares (LS) regression and nonparametric approaches. ...

Andreas Muhlbauer; Peter Spichtinger; Ulrike Lohmann

2009-09-01T23:59:59.000Z

306

?[subscript 1]-penalized quantile regression in high-dimensional sparse models  

E-Print Network (OSTI)

We consider median regression and, more generally, a possibly infinite collection of quantile regressions in high-dimensional sparse models. In these models, the number of regressors p is very large, possibly larger than ...

Belloni, Alexandre

307

Calibrated Short-Range Ensemble Precipitation Forecasts Using Extended Logistic Regression with Interaction Terms  

Science Conference Proceedings (OSTI)

Extended logistic regression has been shown to be a method well suited to calibrating precipitation forecasts from medium-range ensemble prediction systems. The extension of the logistic regression unifies the separate predictive equations for ...

Zied Ben Bouallègue

2013-04-01T23:59:59.000Z

308

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

309

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

310

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification  

Science Conference Proceedings (OSTI)

We consider a fully complex-valued radial basis function (RBF) network for regression and classification applications. For regression problems, the locally regularised orthogonal least squares (LROLS) algorithm aided with the D-optimality experimental ... Keywords: Classification, Complex-valued radial basis function network, D-optimality experimental design, Fisher ratio of class separability measure, Orthogonal least squares algorithm, Regression

S. Chen; X. Hong; C. J. Harris; L. Hanzo

2008-10-01T23:59:59.000Z

311

Optimal Policies and Approximations for a Bayesian Linear Regression Inventory Model  

Science Conference Proceedings (OSTI)

In this paper, we consider a periodic review inventory problem where demand in each period is modeled by linear regression. We use a Bayesian formulation to update the regression parameters as new information becomes available. We find that a state-dependent ... Keywords: Bayesian regression, approximations heuristics, inventory production, stochastic models

Katy S. Azoury; Julia Miyaoka

2009-05-01T23:59:59.000Z

312

A new image representation for compact and secure communication  

SciTech Connect

In many areas of nuclear materials management there is a need for communication, archival, and retrieval of annotated image data between heterogeneous platforms and devices to effectively implement safety, security, and safeguards of nuclear materials. Current image formats such as JPEG are not ideally suited in such scenarios as they are not scalable to different viewing formats, and do not provide a high-level representation of images that facilitate automatic object/change detection or annotation. The new Scalable Vector Graphics (SVG) open standard for representing graphical information, recommended by the World Wide Web Consortium (W3C) is designed to address issues of image scalability, portability, and annotation. However, until now there has been no viable technology to efficiently field images of high visual quality under this standard. Recently, LANL has developed a vectorized image representation that is compatible with the SVG standard and preserves visual quality. This is based on a new geometric framework for characterizing complex features in real-world imagery that incorporates perceptual principles of processing visual information known from cognitive psychology and vision science, to obtain a polygonal image representation of high fidelity. This representation can take advantage of all textual compression and encryption routines unavailable to other image formats. Moreover, this vectorized image representation can be exploited to facilitate automated object recognition that can reduce time required for data review. The objects/features of interest in these vectorized images can be annotated via animated graphics to facilitate quick and easy display and comprehension of processed image content.

Prasad, Lakshman; Skourikhine, A. N. (Alexei N.)

2004-01-01T23:59:59.000Z

313

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

314

Geometric Entanglement of Symmetric States and the Majorana Representation  

E-Print Network (OSTI)

Permutation-symmetric quantum states appear in a variety of physical situations, and they have been proposed for quantum information tasks. This article builds upon the results of [New J. Phys. 12, 073025 (2010)], where the maximally entangled symmetric states of up to twelve qubits were explored, and their amount of geometric entanglement determined by numeric and analytic means. For this the Majorana representation, a generalization of the Bloch sphere representation, can be employed to represent symmetric n qubit states by n points on the surface of a unit sphere. Symmetries of this point distribution simplify the determination of the entanglement, and enable the study of quantum states in novel ways. Here it is shown that the duality relationship of Platonic solids has a counterpart in the Majorana representation, and that in general maximally entangled symmetric states neither correspond to anticoherent spin states nor to spherical designs. The usability of symmetric states as resources for measurement-based quantum computing is also discussed.

Martin Aulbach; Damian Markham; Mio Murao

2010-10-22T23:59:59.000Z

315

A Graphical representation of the grand canonical partition function  

E-Print Network (OSTI)

In this paper we consider a stochastic partial differential equation defined on a Lattice $L_\\delta$ with coefficients of non-linearity with degree $p$. An analytic solution in the sense of formal power series is given. The obtained series can be re-expressed in terms of rooted trees with two types of leaves. Under the use of the so-called Cole-Hopf transformation and for the particular case $p=2$, one thus get the generalized Burger equation. A graphical representation of the solution and its logarithm is done in this paper. A discussion of the summability of the previous formal solutions is done in this paper using Borel sum. A graphical calculus of the correlation function is given. The special case when the noise is of L\\'evy type gives a simplified representations of the solution of the generalized Burger equation. From the previous results we recall a graphical representation of the grand canonical partition function.

Boubaker Smii

2010-01-07T23:59:59.000Z

316

New method for abbreviating the fault tree graphical representation  

SciTech Connect

Fault tree analysis is being widely used for reliability and safety analysis of systems encountered in the nuclear industry and elsewhere. A disadvantage of the fault tree method is the voluminous fault tree graphical representation that conventionally results from analysis of a complex system. Previous methods for shortening the fault tree graphical representation include (1) transfers within the fault tree, and (2) the use of the SAMPLE (K out of N logic) gate, the MATRIX gate, and the SUMMATION gate. The purpose of this presentation is to introduce TABULATION gates as a method to abbreviate the fault tree graphical representation. These new gates reduce the cost of analysis and generally increase the system behavior visibility that is inherent in the fault tree technique. (auth)

Stewart, M.E.; Fussell, J.B.; Crump, R.J.

1974-12-01T23:59:59.000Z

317

Impact of mental representational systems on design interface.  

SciTech Connect

The purpose of the studies conducted at Argonne National Laboratory is to understand the impact mental representational systems have in identifying how user comfort parameters influence how information is to best be presented. By understanding how each individual perceives information based on the three representational systems (visual, auditory and kinesthetic modalities), it has been found that a different approach must be taken in the design of interfaces resulting in an outcome that is much more effective and representative of the users mental model. This paper will present current findings and future theories to be explored.

Brown-VanHoozer, S. A.

1998-02-25T23:59:59.000Z

318

Molecular Programming Pseudo-code Representation to Molecular Electronics  

E-Print Network (OSTI)

This research paper is proposing the idea of pseudo code representation to molecular programming used in designing molecular electronics devices. Already the schematic representation of logical gates like AND, OR, NOT etc.from molecular diodes or resonant tunneling diode are available. This paper is setting a generic pseudo code model so that various logic gates can be formulated. These molecular diodes have designed from organic molecules or Bio-molecules. Our focus is on to give a scenario of molecular computation through molecular programming. We have restricted our study to molecular rectifying diode and logic device as AND gate from organic molecules only.

Pradhan, Manas Ranjan

2010-01-01T23:59:59.000Z

319

K-SVD: Design of dictionaries for sparse representation  

E-Print Network (OSTI)

In recent years there is a growing interest in the study of sparse representation for signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinations of these atoms. Recent activity in this field concentrated mainly on the study of pursuit algorithms that decompose signals with respect to a given dictionary. In this paper we propose a novel algorithm – the K-SVD algorithm – generalizing the K-Means clustering process, for adapting dictionaries in order to achieve sparse signal representations. We analyze this algorithm and demonstrate its results on both synthetic tests and in applications on real data.

Michal Aharon; Michael Elad; Alfred Bruckstein

2005-01-01T23:59:59.000Z

320

Representation invariant Geometrothermodynamics: applications to ordinary thermodynamic systems  

E-Print Network (OSTI)

In this work we employ a recently devised metric within the Geometrothermodynamics program to study ordinary thermodynamic systems. The new feature of this metric is that, in addition to Legendre symmetry, it exhibits invariance under a change of representation. This metric was derived in a previous work by the authors while addressing the problem of the conformal structure of the thermodynamic metrics for different representations. Here, we present an thorough analysis for the ideal gas, the van der Waals fluid, the one dimensional Ising model and some other systems of cosmological interest.

H. Quevedo; F. Nettel; C. S. Lopez-Monsalvo; A. Bravetti

2013-03-06T23:59:59.000Z

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

Calibrating Bayesian Network Representations of Social-Behavioral Models  

Science Conference Proceedings (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

322

The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions  

SciTech Connect

This paper evaluates the performance of Poisson and negative binomial (NB) regression models in establishing the relationship between truck accidents and geometric design of road sections. Three types of models are considered. Poisson regression, zero-inflated Poisson (ZIP) regression, and NB regression. Maximum likelihood (ML) method is used to estimate the unknown parameters of these models. Two other feasible estimators for estimating the dispersion parameter in the NB regression model are also examined: a moment estimator and a regression-based estimator. These models and estimators are evaluated based on their (1) estimated regression parameters, (2) overall goodness-of-fit, (3) estimated relative frequency of truck accident involvements across road sections, (4) sensitivity to the inclusion of short mad sections, and (5) estimated total number of truck accident involvements. Data from the highway Safety Information System (HSIS) are employed to examine the performance of these models in developing such relationships. The evaluation results suggest that the NB regression model estimated using the moment and regression-based methods should be used with caution. Also, under the ML method, the estimated regression parameters from all three models are quite consistent and no particular model outperforms the other two models in terms of the estimated relative frequencies of truck accident involvements across road sections. It is recommended that the Poisson regression model be used as an initial model for developing the relationship. If the overdispersion of accident data is found to be moderate or high, both the NB and ZIP regression model could be explored. Overall, the ZIP regression model appears to be a serious candidate model when data exhibit excess zeros due, e.g., to underreporting.

Miaou, Shaw-Pin

1993-07-01T23:59:59.000Z

323

Virtual reality representation of Martian soil for space exploration  

Science Conference Proceedings (OSTI)

Space exploration is a very challenging task for various reasons, such as hostile environments, different gravity laws, either unknown or unpredictable phenomena which need ad hoc technological solutions to be devised first and then put in practice. ... Keywords: Digital Elevation Model, Space Exploration, Terrain Representation, Virtual Reality

L. Piovano; M. M. Brunello; I. Musso; L. Rocci; V. Basso

2013-03-01T23:59:59.000Z

324

Sustainable building technology knowledge representation: Using Semantic Web techniques  

Science Conference Proceedings (OSTI)

The global quest for sustainability in the exploitation of resources and the need for carbon foot-print reduction has resulted in the development of a large number of innovations and a huge amount of knowledge on sustainable building technologies. Unfortunately, ... Keywords: Knowledge representation, Ontology, Photovoltaic system, Semantic Web, Sustainable building technology

Joseph H. M. Tah; Henry F. Abanda

2011-08-01T23:59:59.000Z

325

Reference metadata extraction using a hierarchical knowledge representation framework  

E-Print Network (OSTI)

Available online 28 September 2006 Abstract The integration of bibliographical information on scholarly The integration of bibliographical information on scholarly publications available on the Internet is an important framework that extracts important concepts from natural language texts [23,24]. As a general representation

Chu, Hao-hua

326

A taxonomy of argumentation models used for knowledge representation  

Science Conference Proceedings (OSTI)

Understanding argumentation and its role in human reasoning has been a continuous subject of investigation for scholars from the ancient Greek philosophers to current researchers in philosophy, logic and artificial intelligence. In recent years, argumentation ... Keywords: Argumentation models, Argumentation theory, Courses of action, Knowledge representation

Jamal Bentahar; Bernard Moulin; Micheline Bélanger

2010-03-01T23:59:59.000Z

327

Context representation using word sequences extracted from a news corpus  

Science Conference Proceedings (OSTI)

The ambiguity in language is one of the most difficult problems in dealing with word senses using computers. Word senses vary dynamically depending on context. We need to specify the context to identify these. However, context also varies depending on ... Keywords: Conceptual fuzzy sets, Context representation, Word sense disambiguation, n-gram model

Hiroshi Sekiya; Takeshi Kondo; Makoto Hashimoto; Tomohiro Takagi

2007-08-01T23:59:59.000Z

328

Web Archives for Researchers: Representations, Expectations and Potential Uses  

E-Print Network (OSTI)

Web Archives for Researchers: Representations, Expectations and Potential Uses Peter Stirling deposit legislation in France since 2006, making web archiving one of the missions of the Bibliothèque nationale de France (BnF). Access to the web archives has been provided in the library on an experimental

329

Using `core documents' for the representation of clusters and topics  

Science Conference Proceedings (OSTI)

The notion of `core documents', first introduced in the context of co-citation analysis and later re-introduced for bibliographic coupling, refers to the representation of the core of a publication set according to given criteria. In the present study, ... Keywords: Bibliographic coupling, Cluster analysis, Core documents, Hybrid clustering, Text mining

Wolfgang Glänzel; Bart Thijs

2011-07-01T23:59:59.000Z

330

A nonnegative sparse representation based fuzzy similar neighbor classifier  

Science Conference Proceedings (OSTI)

This paper presents a new classification technique by combining the well-known Sparse Representation based algorithm with the theory of Fuzzy Set. The basic idea of this work is that samples with the same class-labels should be more similar to each other ... Keywords: Classification, Fuzzy set theory, Similar neighbor

Jie Xu; Jian Yang

2013-01-01T23:59:59.000Z

331

Metaphor or diagram?: comparing different representations for group mirrors  

Science Conference Proceedings (OSTI)

This paper aims at answering the question how ambient displays can be used as group mirrors to support collaborative (learning) activities. Our research question is to what extent the type of feedback representation affects collaborative processes. Two ... Keywords: ambient display, collaborative learning, group mirror, metaphor

Sara Streng; Karsten Stegmann; Heinrich Hußmann; Frank Fischer

2009-11-01T23:59:59.000Z

332

Sparse image representation by discrete cosine/spline based dictionaries  

E-Print Network (OSTI)

Mixed dictionaries generated by cosine and B-spline functions are considered. It is shown that, by highly nonlinear approaches such as Orthogonal Matching Pursuit, the discrete version of the proposed dictionaries yields a significant gain in the sparsity of an image representation.

Bowley, James

2009-01-01T23:59:59.000Z

333

Graphical Representation of SUSY and Application to QFT  

E-Print Network (OSTI)

We present a graphical representation of the supersymmetry and the graphical calculation. Calculation is demonstrated for 4D Wess-Zumino model and for Super QED. The chiral operators are graphically expressed in an illuminating way. The tedious part of SUSY calculation, due to manipulating chiral suffixes, reduces considerably. The application is diverse.

Shoichi Ichinose

2007-10-13T23:59:59.000Z

334

Graphical Representation of SUSY and C-Program Calculation  

E-Print Network (OSTI)

We present a graphical representation of the supersymmetry and a C-program for the graphical calculation. Calculation is demonstrated for 4D Wess-Zumino model and for Super QED. The chiral operators are graphically expressed in an illuminating way. The tedious part of SUSY calculation, due to manipulating chiral suffixes, reduces considerably. The application is diverse.

Shoichi Ichinose

2006-03-28T23:59:59.000Z

335

Crossdressing Cinema: An Analysis of Transgender Representation in Film  

E-Print Network (OSTI)

Transgender representations generally distance the transgender characters from the audience as objects of ridicule, fear, and sympathy. This distancing is accomplished through the use of specific narrative conventions and visual codes. In this dissertation, I analyze representations of transgender individuals in popular film comedies, thrillers, and independent dramas. Through a textual analysis of 24 films, I argue that the narrative conventions and visual codes of the films work to prevent identification or connection between the transgender characters and the audience. The purpose of this distancing is to privilege the heteronormative identities of the characters over their transgender identities. This dissertation is grounded in a cultural studies approach to representation as constitutive and constraining and a positional approach to gender that views gender identity as a position taken in a specific social context. Contributions are made to the fields of communication, film studies, and gender studies through the methodological approach to textual analysis of categories of films over individual case studies and the idea that individuals can be positioned in identities they do not actively claim for themselves. This dissertation also makes a significant contribution to conceptions of the gaze through the development of three transgender gazes that focus on the ways the characters are visually constructed rather than the viewpoints taken by audience members. In the end, transgender representations work to support heteronormativity by constructing the transgender characters in specific ways to prevent audience members from developing deeper connections with them.

Miller, Jeremy Russell

2012-08-01T23:59:59.000Z

336

Granular Rough Theory: A representation semantics oriented theory of roughness  

Science Conference Proceedings (OSTI)

The present work is an archival paper for a series of contributions proposed in last few years on building a theory of roughness over pure mereological relations among information granules. There are five major efforts taken in the present paper: (1) ... Keywords: Granular Representation Calculus, Granular Rough Theory, Granular-Rough Computational Web Intelligence

Bo Chen; Ming Sun; Mingtian Zhou

2009-03-01T23:59:59.000Z

337

Security Requirements Engineering: A Framework for Representation and Analysis  

E-Print Network (OSTI)

Security Requirements Engineering: A Framework for Representation and Analysis Charles B. Haley Abstract--This paper presents a framework for security requirements elicitation and analysis. The framework is based on constructing a context for the system, representing security requirements as constraints

Haley, Charles B.

338

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

E-Print Network (OSTI)

on Cluster Analysis of Load Profiles Nobuyuki Yamaguchi,on Cluster Analysis of Load Profiles Nobuyuki Yamaguchi,regressions, using actual load profile data of Pacific Gas

Kiliccote, Sila

2010-01-01T23:59:59.000Z

339

Does Marginal Price Matter? A Regression Discontinuity Approach to Estimating Water Demand  

E-Print Network (OSTI)

Does Marginal Price Matter? A Regression DiscontinuityCCF discontinuity, though, does not correspond to any waterin the RD analysis. A consumer does not know her exact water

Nataraj, Shanthi; Hanemann, W. Michael

2008-01-01T23:59:59.000Z

340

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

SciTech Connect

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

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

Wave–Current Interaction: A Comparison of Radiation-Stress and Vortex-Force Representations  

Science Conference Proceedings (OSTI)

The vortex-force representation of the wave-averaged effects on currents is compared to the radiation-stress representation in a scaling regime appropriate to coastal and shelf waters. Three-dimensional and vertically integrated expressions for ...

E. M. Lane; J. M. Restrepo; J. C. McWilliams

2007-05-01T23:59:59.000Z

342

Free field representation and form factors of the chiral Gross-Neveu model  

E-Print Network (OSTI)

The free field representation of the Zamolodchikov-Faddeev algebra for the chiral Gross-Neveu model is analysed in detail, and used to construct an integral representation for form factors of the model.

Stephen Britton; Sergey Frolov

2013-05-27T23:59:59.000Z

343

Applications of localic separation axioms, compactness axioms, representations, and compactifications to poslat topological spaces  

Science Conference Proceedings (OSTI)

Keywords: Chang-compactification reflectors, fuzzy sobriety, fuzzy space representations, fuzzy spatiality, localic separation axioms, topological and categorial compactifications

S. E. Rodabaugh

1995-07-01T23:59:59.000Z

344

A SAS-macro for estimation of the cumulative incidence using Poisson regression  

Science Conference Proceedings (OSTI)

In survival analyses, we often estimate the hazard rate of a specific cause. Sometimes the main focus is not the hazard rates but the cumulative incidences, i.e., the probability of having failed from a specific cause prior to a given time. The cumulative ... Keywords: Competing risks, Cox regression, Cumulative incidence, Hazard rate, Poisson regression, Survival analysis

Berit Lindum Waltoft

2009-02-01T23:59:59.000Z

345

Research Article: Environmental adaptation of proteins: Regression models with simple physicochemical properties  

Science Conference Proceedings (OSTI)

Bio-sequences from ortholog proteins are well suited for statistical inference when the sequences can be divided into ordinal groups based on known environmental features or traits of the host organisms. In this paper two new regression models are described ... Keywords: Comparative genomics, False discovery rate, Mann-Kendall test, Non-parametric regression, Psychrophiles

Steinar Thorvaldsen; Elinor Ytterstad

2009-10-01T23:59:59.000Z

346

Recursive support vector censored regression for monitoring product quality based on degradation profiles  

Science Conference Proceedings (OSTI)

The time-consuming evaluation of a product's lifetime or quality often prevents manufacturers from meeting market requirements within the time allotted for product development. Degradation profiles obtained from harsh testing environments have been widely ... Keywords: Accelerated test, Cycle-life evaluation, Degradation profile, Genetic algorithm, Machine learning and data mining, Nonlinear censored regression, Recursive support vector censored regression, Secondary rechargeable battery

Jong In Park; Myong K. Jeong

2011-08-01T23:59:59.000Z

347

An algorithm for the estimation of a regression function by continuous piecewise linear functions  

Science Conference Proceedings (OSTI)

The problem of the estimation of a regression function by continuous piecewise linear functions is formulated as a nonconvex, nonsmooth optimization problem. Estimates are defined by minimization of the empirical L 2 risk over a ... Keywords: Nonparametric regression, Nonsmooth optimization, Semismooth functions, Subdifferential

Adil Bagirov; Conny Clausen; Michael Kohler

2010-01-01T23:59:59.000Z

348

A support vector regression based prediction model of affective responses for product form design  

Science Conference Proceedings (OSTI)

In this paper, a state-of-the-art machine learning approach known as support vector regression (SVR) is introduced to develop a model that predicts consumers' affective responses (CARs) for product form design. First, pairwise adjectives were used to ... Keywords: Genetic algorithm, Kansei engineering, Neural network, Product form design, Support vector regression

Chih-Chieh Yang; Meng-Dar Shieh

2010-11-01T23:59:59.000Z

349

Predicting corporate financial distress based on integration of support vector machine and logistic regression  

Science Conference Proceedings (OSTI)

The support vector machine (SVM) has been applied to the problem of bankruptcy prediction, and proved to be superior to competing methods such as the neural network, the linear multiple discriminant approaches and logistic regression. However, the conventional ... Keywords: Corporate financial distress, Empirical risk, Logistic regression, Prediction, Support vector machine

Zhongsheng Hua; Yu Wang; Xiaoyan Xu; Bin Zhang; Liang Liang

2007-08-01T23:59:59.000Z

350

Choosing the best set of variables in regression analysis using integer programming  

Science Conference Proceedings (OSTI)

This paper is concerned with an algorithm for selecting the best set of s variables out of k(> s) candidate variables in a multiple linear regression model. We employ absolute deviation as the measure of deviation and solve ... Keywords: 0-1 integer programming, Cardinality constraint, Least absolute deviation, Linear regression, Variable selection

Hiroshi Konno; Rei Yamamoto

2009-06-01T23:59:59.000Z

351

A simulation-and-regression approach for stochastic dynamic programs with endogenous state variables  

Science Conference Proceedings (OSTI)

We investigate the optimum control of a stochastic system, in the presence of both exogenous (control-independent) stochastic state variables and endogenous (control-dependent) state variables. Our solution approach relies on simulations and regressions ... Keywords: Approximate dynamic programming, Hydropower management, Least-squares Monte Carlo, Simulation and regression, Stochastic control

Michel Denault, Jean-Guy Simonato, Lars Stentoft

2013-11-01T23:59:59.000Z

352

Regional residual plots for assessing the fit of linear regression models  

Science Conference Proceedings (OSTI)

An intuitively appealing lack-of-fit test to assess the adequacy of a regression model is introduced together with a graphical diagnostic tool. The graphical method itself includes a formal testing procedure, and, it is particularly useful to detect ... Keywords: Diagnostic tool, Graphical method, Lack-of-fit, Multiple regression

E. Deschepper; O. Thas; J. P. Ottoy

2006-04-01T23:59:59.000Z

353

Texas Tech University Knowledge Representation Lab Reasoning about the Intentions of Agents  

E-Print Network (OSTI)

Texas Tech University Knowledge Representation Lab Reasoning about the Intentions of Agents Justin Blount Texas Tech University April 6, 2012 #12;Texas Tech University Knowledge Representation Lab A Quote another, and here again we may choose as we will. #12;Texas Tech University Knowledge Representation Lab

Zhang, Yuanlin

354

Texas Tech University Knowledge Representation Group Issues in Reasoning about Interaction Networks in Cells  

E-Print Network (OSTI)

1 Texas Tech University Knowledge Representation Group Issues in Reasoning about Interaction Proceedings of AAAI'05 November 3, 2010 #12;2 Texas Tech University Knowledge Representation Group;3 Texas Tech University Knowledge Representation Group Previous Paper · They used an action language

Zhang, Yuanlin

355

Towards Unrestricted, Large-Scale Acquisition of Feature-Based Conceptual Representations from Corpus Data  

Science Conference Proceedings (OSTI)

In recent years a number of methods have been proposed for the automatic acquisition of feature-based conceptual representations from text corpora. Such methods could offer valuable support for theoretical research on conceptual representation. However, ... Keywords: Conceptual representations, Corpus-based acquisition, Property norms, Semantic features

Barry Devereux; Nicholas Pilkington; Thierry Poibeau; Anna Korhonen

2009-12-01T23:59:59.000Z

356

Is cognition a matter of representations? Emulation, teleology, and time-keeping in biological systems  

Science Conference Proceedings (OSTI)

Contemporary literature distinguishes two ways to defend the claim that cognition is a matter of representations: first, cognition involves representation-hungry tasks; second, cognition involves a complex form of informational covariation between subcomponents ... Keywords: Cognition, circadian oscillator, closed-loop architecture, emulation theory, representation, tropism

Ángel García Rodríguez; Paco Calvo Garzón

2010-10-01T23:59:59.000Z

357

Foldy-Wouthyusen wave functions and conditions of transformation between Dirac and Foldy-Wouthuysen representations  

E-Print Network (OSTI)

The block-diagonalization of the Hamiltonian is not sufficient for the transformation to the Foldy-Wouthuysen (FW) representation. The conditions enabling the transition from the Dirac representation to the FW one are formulated and proved. The connection between wave functions in the two representations is derived. The results obtained allows calculating expectation values of operators corresponding to main classical quantities.

V. P. Neznamov; A. J. Silenko

2009-06-11T23:59:59.000Z

358

Regression Models for Demand Reduction based on Cluster Analysis of Load  

NLE Websites -- All DOE Office Websites (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

359

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.

360

Dictionary for Sparse Representation of Chirp Echo in Broadband Radar  

E-Print Network (OSTI)

A new dictionary for sparse representation of chirp echo in broadband radar is put forward in this paper. Different with chirplet decomposition which decomposes echo in time-frequency plane, the dictionary transforms the sparsity of target observed by radar in distance range to the sparsity in frequency domain by stretch processing and the sparse representation of echo is realized. Using strict deduction with mathematics, the sparsity of echo in dictionary is proved and the dictionary is orthogonal. In the application property, the construction of dictionary is simple, the parameters that are needed for dictionary can be obtained conveniently and the dictionary is convenient to use. Furthermore, the object of application can be expanded to the echo of multi-component chirps with single freedom degree.

Gao, Lei

2010-01-01T23:59:59.000Z

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.


361

Supply Function Equilibria: Step Functions and Continuous Representations  

E-Print Network (OSTI)

and Daniel Ralph In most wholesale electricity markets generators must submit step- function offers of supply to a uniform price auction, and the market is cleared at the price of the most expensive offer needed to meet realised demand. Such markets... functions and continuous representations1 Pär Holmberg,2 David Newbery3 and Daniel Ralph4 31 December 2008 Abstract In most wholesale electricity markets generators must submit step-function offers of supply to a uniform price auction...

Holmberg, P; Newbery, David; Ralph, Daniel

362

Representation of Material Elements and Geometry of Substructural Interactions  

E-Print Network (OSTI)

This paper collects some characteristic aspects of the general model-building framework of the mechanics of complex bodies, that are bodies in which the material substructure influences prominently the gross behavior through interactions conjugated with substructural changes. The emphasis in on issues that are foundational in nature: the geometrica description of the material elements, their energetic characterization, the representation of interactions, conditions for the existence of ground states in conservative setting.

Paolo Maria Mariano

2008-02-11T23:59:59.000Z

363

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

364

The bosonic Fock representation and a generalized Shale theorem  

E-Print Network (OSTI)

We detail a new approach to the bosonic Fock representation of a complex Hilbert space V: our account places the bosonic Fock space S[V] between the symmetric algebra SV and its full antidual SV'; in addition to providing a context in which arbitrary (not necessarily restricted) real symplectic automorphisms of V are implemented, it offers simplified proofs of many standard results of the theory.

Robinson, P L

2012-01-01T23:59:59.000Z

365

The bosonic Fock representation and a generalized Shale theorem  

E-Print Network (OSTI)

We detail a new approach to the bosonic Fock representation of a complex Hilbert space V: our account places the bosonic Fock space S[V] between the symmetric algebra SV and its full antidual SV'; in addition to providing a context in which arbitrary (not necessarily restricted) real symplectic automorphisms of V are implemented, it offers simplified proofs of many standard results of the theory.

P. L. Robinson

2012-03-26T23:59:59.000Z

366

A hierarachical data structure representation for fusing multisensor information  

SciTech Connect

A major problem with MultiSensor Information Fusion (MSIF) is establishing the level of processing at which information should be fused. Current methodologies, whether based on fusion at the data element, segment/feature, or symbolic levels, are each inadequate for robust MSIF. Data-element fusion has problems with coregistration. Attempts to fuse information using the features of segmented data relies on a Presumed similarity between the segmentation characteristics of each data stream. Symbolic-level fusion requires too much advance processing (including object identification) to be useful. MSIF systems need to operate in real-time, must perform fusion using a variety of sensor types, and should be effective across a wide range of operating conditions or deployment environments. We address this problem through developing a new representation level which facilitates matching and information fusion. The Hierarchical Data Structure (HDS) representation, created using a multilayer, cooperative/competitive neural network, meets this need. The HDS is an intermediate representation between the raw or smoothed data stream and symbolic interpretation of the data. it represents the structural organization of the data. Fused HDSs will incorporate information from multiple sensors. Their knowledge-rich structure aids top-down scene interpretation via both model matching and knowledge-based region interpretation.

Maren, A.J. [Tennessee Univ., Tullahoma, TN (United States). Space Inst.; Pap, R.M.; Harston, C.T. [Accurate Automation Corp., Chattanooga, TN (United States)

1989-12-31T23:59:59.000Z

367

A hierarachical data structure representation for fusing multisensor information  

SciTech Connect

A major problem with MultiSensor Information Fusion (MSIF) is establishing the level of processing at which information should be fused. Current methodologies, whether based on fusion at the data element, segment/feature, or symbolic levels, are each inadequate for robust MSIF. Data-element fusion has problems with coregistration. Attempts to fuse information using the features of segmented data relies on a Presumed similarity between the segmentation characteristics of each data stream. Symbolic-level fusion requires too much advance processing (including object identification) to be useful. MSIF systems need to operate in real-time, must perform fusion using a variety of sensor types, and should be effective across a wide range of operating conditions or deployment environments. We address this problem through developing a new representation level which facilitates matching and information fusion. The Hierarchical Data Structure (HDS) representation, created using a multilayer, cooperative/competitive neural network, meets this need. The HDS is an intermediate representation between the raw or smoothed data stream and symbolic interpretation of the data. it represents the structural organization of the data. Fused HDSs will incorporate information from multiple sensors. Their knowledge-rich structure aids top-down scene interpretation via both model matching and knowledge-based region interpretation.

Maren, A.J. (Tennessee Univ., Tullahoma, TN (United States). Space Inst.); Pap, R.M.; Harston, C.T. (Accurate Automation Corp., Chattanooga, TN (United States))

1989-01-01T23:59:59.000Z

368

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

Science Conference Proceedings (OSTI)

This paper 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. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.

Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila

2009-06-28T23:59:59.000Z

369

Prediction of Boiler Output Variables Through the PLS Linear Regression Technique  

E-Print Network (OSTI)

Abstract: In this work, we propose to use the linear regression partial least square method to predict the output variables of the RA1G boiler. This method consists in finding the regression of an output block regarding an input block. These two blocks represent the outputs and inputs of the process. A criteria of cross validation, based on the calculation of the predicted residual sum of squares, is used to select the components of the model in the partial least square regression. The obtained results illustrate the effectiveness of this method for prediction purposes.

Abdelmalek Kouadri; Mimoun Zelmat; Alhussein Albarbar

2008-01-01T23:59:59.000Z

370

Weighted exponential regression for characterizing radionuclide concentrations in soil depth profiles  

Science Conference Proceedings (OSTI)

Characterization of radionuclide concentrations in soil profiles requires accurate evaluation of the depth distribution of the concentrations as measured by gamma emissions. An ongoing study based on 137Cs activity has shown that such concentration data generally follow an exponential trend when the fraction of radioactivity below depth is plotted against the depth. The slope of the exponential regression fit is defined as alpha/rho, the depth profile parameter. A weighted exponential regression procedure has been developed to compute a mean ??? for a group of related soil samples. Regression results from different areas or from different time periods can be used to compare representative radionuclide concentrations for the specified groupings.

C.P.Oertel; J.R.Giles

2009-11-01T23:59:59.000Z

371

White noise assumptions revisited: regression metamodels and experimental designs in practice  

Science Conference Proceedings (OSTI)

Classic linear regression metamodels and their concomitant experimental designs assume a univariate (not multivariate) simulation response and white noise. By definition, white noise is normally (Gaussian), independently (implying no common random numbers), ...

Jack P. C. Kleijnen

2006-12-01T23:59:59.000Z

372

Regression-Guided Clustering: A Semisupervised Method for Circulation-to-Environment Synoptic Classification  

Science Conference Proceedings (OSTI)

Regression-guided clustering is introduced as a means of constructing circulation-to-environment synoptic climatological classifications. Rather than applying an unsupervised clustering algorithm to synoptic-scale atmospheric circulation data, one ...

Alex J. Cannon

2012-02-01T23:59:59.000Z

373

Testing for causal e ffects in a generalized regression model with endogenous regressors  

E-Print Network (OSTI)

A unifying framework to test for causal effects in nonlinear models is proposed. We consider a generalized linear-index regression model with endogenous regressors and no parametric assumptions on the error disturbances. ...

Abrevaya, Jason

374

Seasonal Prediction of Tropical Cyclone Activity Near Taiwan Using the Bayesian Multivariate Regression Method  

Science Conference Proceedings (OSTI)

A Poisson generalized linear regression model cast within a Bayesian framework is applied to forecast the seasonal tropical cyclone (TC) counts in the vicinity of Taiwan. The TC season considered is June–November and the data period used for ...

Mong-Ming Lu; Pao-Shin Chu; Yun-Ching Lin

2010-12-01T23:59:59.000Z

375

A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression  

Science Conference Proceedings (OSTI)

A hierarchical Bayesian regression model is presented for reconstructing the average summer streamflow at five gauges in the Delaware River basin using eight regional tree-ring chronologies. The model provides estimates of the posterior ...

Naresh Devineni; Upmanu Lall; Neil Pederson; Edward Cook

2013-06-01T23:59:59.000Z

376

An Iterative Regression Model for Estimating Soybean Yields from Environmental Data  

Science Conference Proceedings (OSTI)

A model was developed for using weather data, to estimate the yields of soybeans for varieties adapted to the central United States. The model utilized an iterative regression analysis for relating soybean yields to environmental variables. This ...

Andres C. Ravelo; Wayne L. Decker

1981-11-01T23:59:59.000Z

377

Dual-Regression Retrieval Algorithm for Real-Time Processing of Satellite Ultraspectral Radiances  

Science Conference Proceedings (OSTI)

A fast physically based dual-regression (DR) method is developed to produce, in real time, accurate profile and surface- and cloud-property retrievals from satellite ultraspectral radiances observed for both clear- and cloudy-sky conditions. The ...

William L. Smith Sr.; Elisabeth Weisz; Stanislav V. Kireev; Daniel K. Zhou; Zhenglong Li; Eva E. Borbas

2012-08-01T23:59:59.000Z

378

Predicting Daily Maximum Temperatures Using Linear Regression and Eta Geopotential Thickness Forecasts  

Science Conference Proceedings (OSTI)

The relationship between forecast geopotential thickness and observed maximum temperature is investigated, and regression equations are calculated using numerical model thickness forecasts for Nashville. Model thickness forecast accuracy is shown ...

Darrell R. Massie; Mark A. Rose

1997-12-01T23:59:59.000Z

379

Comparison of WPMM versus Regression for Evaluating Z–R Relationships  

Science Conference Proceedings (OSTI)

The accuracy of the estimation of Z–R relationships is evaluated for the Window Probability Matching Method (WPMM) and regression methods. The evaluation is based on experiments of random subsampling of disdrometer-obtained 1-min reflectivity Z ...

Daniel Rosenfeld; Eyal Amitai

1998-10-01T23:59:59.000Z

380

Consolidation of Multimodel Forecasts by Ridge Regression: Application to Pacific Sea Surface Temperature  

Science Conference Proceedings (OSTI)

The performance of ridge regression methods for consolidation of multiple seasonal ensemble prediction systems is analyzed. The methods are applied to predict SST in the tropical Pacific based on ensembles from the Development of a European ...

Malaquias Peña; Huug van den Dool

2008-12-01T23:59:59.000Z

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.


381

Modeling Personalized Email Prioritization: Classification-based and Regression-based Approaches  

Science Conference Proceedings (OSTI)

Email overload, even after spam filtering, presents a serious productivity challenge for busy professionals and executives. One solution is automated prioritization of incoming emails to ensure the most important are read and processed quickly, while others are processed later as/if time permits in declining priority levels. This paper presents a study of machine learning approaches to email prioritization into discrete levels, comparing ordinal regression versus classier cascades. Given the ordinal nature of discrete email priority levels, SVM ordinal regression would be expected to perform well, but surprisingly a cascade of SVM classifiers significantly outperforms ordinal regression for email prioritization. In contrast, SVM regression performs well -- better than classifiers -- on selected UCI data sets. This unexpected performance inversion is analyzed and results are presented, providing core functionality for email prioritization systems.

Yoo S.; Yang, Y.; Carbonell, J.

2011-10-24T23:59:59.000Z

382

One-Dimensional CCA and SVD, and Their Relationship to Regression Maps  

Science Conference Proceedings (OSTI)

The canonical correlation analysis (CCA) and singular value decomposition (SVD) approaches for estimating a time series from a time-dependent vector and vice versa are investigated, and their relationship to multiple linear regression (MLR) and ...

Martin Widmann

2005-07-01T23:59:59.000Z

383

A Bayesian Regression Approach for Predicting Seasonal Tropical Cyclone Activity over the Central North Pacific  

Science Conference Proceedings (OSTI)

In this study, a Poisson generalized linear regression model cast in the Bayesian framework is applied to forecast the tropical cyclone (TC) activity in the central North Pacific (CNP) in the peak hurricane season (July–September) using large-...

Pao-Shin Chu; Xin Zhao

2007-08-01T23:59:59.000Z

384

A Bayesian Regression Approach to Seasonal Prediction of Tropical Cyclones Affecting the Fiji Region  

Science Conference Proceedings (OSTI)

This study presents seasonal prediction schemes for tropical cyclones (TCs) affecting the Fiji, Samoa, and Tonga (FST) region. Two separate Bayesian regression models are developed: (i) for cyclones forming within the FST region (FORM) and (ii) ...

Savin S. Chand; Kevin J. E. Walsh; Johnny C. L. Chan

2010-07-01T23:59:59.000Z

385

Selection of a representative set of parameters for robust ordinal regression outranking methods  

Science Conference Proceedings (OSTI)

We introduce the concept of a representative set of parameters for multiple criteria outranking methods: ELECTRE^G^K^M^S and PROMETHEE^G^K^S which apply the principle of robust ordinal regression. We exploit the necessary and the possible results provided ... Keywords: ELECTRE-like method, Outranking relation, PROMETHEE-like method, Representative preference model, Representative set of parameters, Robust ordinal regression

Mi?osz Kadzi?ski; Salvatore Greco; Roman S?owi?ski

2012-11-01T23:59:59.000Z

386

Hyperforests on the Complete Hypergraph by Grassmann Integral Representation  

E-Print Network (OSTI)

We study the generating function of rooted and unrooted hyperforests in a general complete hypergraph with n vertices by using a novel Grassmann representation of their generating functions. We show that this new approach encodes the known results about the exponential generating functions for the different number of vertices. We consider also some applications as counting hyperforests in the k-uniform complete hypergraph and the one complete in hyperedges of all dimensions. Some general feature of the asymptotic regimes for large number of connected components is discussed.

Bedini, Andrea; Sportiello, Andrea

2008-01-01T23:59:59.000Z

387

Hyperforests on the Complete Hypergraph by Grassmann Integral Representation  

E-Print Network (OSTI)

We study the generating function of rooted and unrooted hyperforests in a general complete hypergraph with n vertices by using a novel Grassmann representation of their generating functions. We show that this new approach encodes the known results about the exponential generating functions for the different number of vertices. We consider also some applications as counting hyperforests in the k-uniform complete hypergraph and the one complete in hyperedges of all dimensions. Some general feature of the asymptotic regimes for large number of connected components is discussed.

Andrea Bedini; Sergio Caracciolo; Andrea Sportiello

2008-02-11T23:59:59.000Z

388

Representation of Limited Rights Data and Restricted Computer Software  

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

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

389

Ferromagnetism in Hubbard model in many-electron operator representation  

Science Conference Proceedings (OSTI)

The Hubbard model for a metal with strong correlations is considered in the representation of many-electron X-operators. General self-consistent expressions are obtained for the one-particle Green function taking into account fluctuation corrections. The stability regions of the saturated and unsaturated ferromagnetism in the ground state on the n-U plane (n is the electron concentration and U is the Coulomb interaction parameter) are determined for various bare densities of states (semi-elliptic band and the square, cubic, and hypercubic lattices).

Zarubin, A. V.; Irkhin, V. Yu., E-mail: Valentin.Irkhin@imp.uran.ru [Russian Academy of Sciences, Institute of Metal Physics, Ural Branch (Russian Federation)

2012-05-15T23:59:59.000Z

390

Representation and use of Chemistry in the Global Electronic Age  

E-Print Network (OSTI)

Representation and use of Chemistry in the Global Electronic Age Peter Murray-Rust,a Henry S. Rzepa,b Simon. M. Tyrrella and Y. Zhanga aUnilever Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road... of the ligands in the Protein DataBank have fuzzy structures (imperfect coordinates, unknown charge, unlocated hydrogen atoms, etc.) Yet it is felt highly valuable to create resources derived from these such as PDBSum, HIC-UP, LigPlot and many others...

Murray-Rust, Peter; Rzepa, Henry S; Tyrrell, Simon M; Zhang, Yong

2004-09-30T23:59:59.000Z

391

On Extending Pollard's Theorem for t-Representable Sums  

E-Print Network (OSTI)

Let $t\\geq 1$, let $A$ and $B$ be finite, nonempty subsets of an abelian group $G$, and let $A\\pp{i} B$ denote all the elements $c$ with at least $i$ representations of the form $c=a+b$, with $a\\in A$ and $b\\in B$. For $|A|, |B|\\geq t$, we show that either \\be\\label{almost}\\Sum{i=1}{t}|A\\pp{i} B|\\geq t|A|+t|B|-2t^2+1,\\ee or else there exist $A'\\subseteq A$ and $B'\\subseteq B$ with \\ber \

Grynkiewicz, David J

2008-01-01T23:59:59.000Z

392

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

393

Pseudounitary freedom in the operator-sum representation  

Science Conference Proceedings (OSTI)

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

Ou, Yong-Cheng [Department of Physics, Southern Illinois University, Carbondale, Illinois 62901 (United States); Byrd, Mark S. [Department of Physics, Southern Illinois University, Carbondale, Illinois 62901 (United States); Department of Computer Science, Southern Illinois University, Carbondale, Illinois 62901 (United States)

2010-08-15T23:59:59.000Z

394

A Poisson Regression Index for Tropical Cyclone Genesis and the Role of Large-Scale Vorticity in Genesis  

Science Conference Proceedings (OSTI)

A Poisson regression between the observed climatology of tropical cyclogenesis (TCG) and large-scale climate variables is used to construct a TCG index. The regression methodology is objective and provides a framework for the selection of the ...

Michael K. Tippett; Suzana J. Camargo; Adam H. Sobel

2011-05-01T23:59:59.000Z

395

Representation-theoretic derivation of the Temperley-Lieb-Martin algebras  

E-Print Network (OSTI)

Explicit expressions for the Temperley-Lieb-Martin algebras, i.e., the quotients of the Hecke algebra that admit only representations corresponding to Young diagrams with a given maximum number of columns (or rows), are obtained, making explicit use of the Hecke algebra representation theory. Similar techniques are used to construct the algebras whose representations do not contain rectangular subdiagrams of a given size.

Tomasz Brzezinski; Jacob Katriel

1995-07-25T23:59:59.000Z

396

Thermal Operator Representation of Finite-Temperature Amplitudes in the Presence of Chemical Potential  

E-Print Network (OSTI)

In a recent paper [Phys. Rev. D {\\bf 72}, 085006 (2005)], Brandt {\\em et al}. deduced the thermal operator representation for a thermal $N$-point amplitude, both in the imaginary-time and real-time formalisms. In the case when a chemical potential present, however, the representation is not as simple as in the case with vanishing chemical potential. We propose a much simpler and transparent representation for the case of non-zero chemical potential.

M. Inui; H. Kohyama; A. Niegawa

2006-01-12T23:59:59.000Z

397

Comparing Single and Multiple Turbine Representations in a Wind Farm Simulation (Presentation)  

DOE Green Energy (OSTI)

Presentation for the European Wind Energy Conference held February 27--March 2, 2006, in Athens, Greece, comparing single and multiple turbine representations in a wind farm simulation.

Parsons, B.

2006-02-01T23:59:59.000Z

398

Method of Equivalencing for a Large Wind Power Plant with Multiple Turbine Representation: Preprint  

DOE Green Energy (OSTI)

This paper focuses on our effort to develop an equivalent representation of a Wind Power Plant collector system for power system planning studies.

Muljadi, E.; Pasupulati, S.; Ellis, A.; Kosterov, D.

2008-07-01T23:59:59.000Z

399

Well Models for Mimetic Finite Difference Methods and Improved Representation of Wells inMultiscale Methods.  

E-Print Network (OSTI)

??In reservoir simulation, the modeling and the representation of wells are critical factors. The standard approach for well modeling is to couple the well to… (more)

Ligaarden, Ingeborg Skjelkvåle

2008-01-01T23:59:59.000Z

400

On the relation between the connection and the loop representation of quantum gravity  

E-Print Network (OSTI)

Using Penrose binor calculus for SU(2) (SL(2,C)) tensor expressions, a graphical method for the connection representation of Euclidean Quantum Gravity (real connection) is constructed. It is explicitly shown that: {\\it (i)} the recently proposed scalar product in the loop-representation coincide with the Ashtekar-Lewandoski cylindrical measure in the space of connections; {\\it (ii)} it is possible to establish a correspondence between the operators in the connection representation and those in the loop representation. The construction is based on embedded spin network, the Penrose graphical method of SU(2) calculus, and the existence of a generalized measure on the space of connections modulo gauge transformations.

De Pietri, R

1996-01-01T23:59:59.000Z

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

On the relation between the connection and the loop representation of quantum gravity  

E-Print Network (OSTI)

Using Penrose binor calculus for $SU(2)$ ($SL(2,C)$) tensor expressions, a graphical method for the connection representation of Euclidean Quantum Gravity (real connection) is constructed. It is explicitly shown that: {\\it (i)} the recently proposed scalar product in the loop-representation coincide with the Ashtekar-Lewandoski cylindrical measure in the space of connections; {\\it (ii)} it is possible to establish a correspondence between the operators in the connection representation and those in the loop representation. The construction is based on embedded spin network, the Penrose graphical method of $SU(2)$ calculus, and the existence of a generalized measure on the space of connections modulo gauge transformations.

Roberto De Pietri

1996-05-28T23:59:59.000Z

402

Functional representation and manipulation of shapes with applications in surface and solid modeling .  

E-Print Network (OSTI)

??Real-valued functions have wide applications in various areas within computer graphics. In this work, we examine three representation of shapes using functions. In particular, we… (more)

[No author

2013-01-01T23:59:59.000Z

403

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

NLE Websites -- All DOE Office Websites (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.

404

Statistically based reduced representation of amino acid side chains  

E-Print Network (OSTI)

Preferred conformations of amino acid side chains have been well established through statistically obtained rotamer libraries. Typically, these provide bond torsion angles allowing a side chain to be traced atom by atom. In cases where it is desirable to reduce the complexity of a protein representation or prediction, fixing all side-chain atoms may prove unwieldy. Therefore, we introduce a general parametrization to allow positions of representative atoms (in the present study, these are terminal atoms) to be predicted directly given backbone atom coordinates. Using a large, culled data set of amino acid residues from high-resolution protein crystal structures, anywhere from 1 to 7 preferred conformations were observed for each terminal atom of the non-glycine residues. Side-chain length from the backbone C R is one of the parameters determined for each conformation, which should itself be useful. Prediction of terminal atoms was then carried out for a second, nonredundant set of protein structures to validate the data set. Using four simple probabilistic approaches, the Monte Carlo style prediction of terminal atom locations given only backbone coordinates produced an average root mean-square deviation (RMSD) of ?3 Å from the experimentally determined terminal atom positions. With prediction using conditional probabilities based on the side-chain ?1 rotamer, this average RMSD was improved to 1.74 Å. The observed terminal atom conformations therefore provide reasonable and potentially highly accurate representations of side-chain conformation, offering a viable alternative to existing all-atom rotamers for any case where reduction in protein model complexity, or in the amount of data to be handled, is desired. One application of this representation with strong potential is the prediction of charge density in proteins. This would likely be especially valuable on protein surfaces, where side chains are much less likely to be fixed in single rotamers. Prediction of ensembles of structures provides a method to determine the probability density of charge and atom location; such a prediction is demonstrated graphically.

Jan K. Rainey; M. Cynthia Goh

2004-01-01T23:59:59.000Z

405

Selective Loss and Preservation of Biographical Knowledge: Implications for Representation  

E-Print Network (OSTI)

this paper we review the evidence from individual patients with either selective loss or preservation of personrelated knowledge (e.g. recognition of a person as famous, knowledge of a person's occupation, nationality and any uniquely identifying information) in public and autobiographical domains, associated with various pathologies (e.g. cerebrovascular involvement, herpes simplex viral encephalitis, particular forms of dementia). Furthermore, we address explanations of the phenomena and raise issues for future research. The focus of our review is on conceptual representation in semantic memory rather than on pure expressive problems, as difficulties in retrieving names (in proper name anomia, for example) appear to involve separate levels of processing (e.g. Valentine et al., 1996)

Catherine Haslam; Janice Kay; J. Richard Hanley

2002-01-01T23:59:59.000Z

406

A discrete variable representation for electron-hydrogen atom scattering  

DOE Green Energy (OSTI)

A discrete variable representation (DVR) suitable for treating the quantum scattering of a low energy electron from a hydrogen atom is presented. The benefits of DVR techniques (e.g. the removal of the requirement of calculating multidimensional potential energy matrix elements and the availability of iterative sparse matrix diagonalization/inversion algorithms) have for many years been applied successfully to studies of quantum molecular scattering. Unfortunately, the presence of a Coulomb singularity at the electrically unshielded center of a hydrogen atom requires high radial grid point densities in this region of the scattering coordinate, while the presence of finite kinetic energy in the asymptotic scattering electron also requires a sufficiently large radial grid point density at moderate distances from the nucleus. The constraints imposed by these two length scales have made application of current DVR methods to this scattering event difficult.

Gaucher, L.F.

1994-08-01T23:59:59.000Z

407

Enhancement of Solar Energy Representation in the GCAM Model  

DOE Green Energy (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

408

PatchNet: a patch-based image representation for interactive library-driven image editing  

Science Conference Proceedings (OSTI)

We introduce PatchNets, a compact, hierarchical representation describing structural and appearance characteristics of image regions, for use in image editing. In a PatchNet, an image region with coherent appearance is summarized by a graph node, ... Keywords: PatchNet, contextual features, image representation, interactive image editing, patch synthesis

Shi-Min Hu, Fang-Lue Zhang, Miao Wang, Ralph R. Martin, Jue Wang

2013-11-01T23:59:59.000Z

409

Efficient Representation in 3D Environment Modeling for Planetary Robotic Exploration  

E-Print Network (OSTI)

is a tremendous amount of different map representations including for example occupancy grids [25], correspondence exploration, 3D mapping, surface representation, plane fitting published in: Advanced Robotics, Vol. 24, Iss, is also a drawback when it comes to the processing of the data, respectively the transmission of the data

Birk, Andreas

410

A framework for the study of external representations in collaborative design settings  

Science Conference Proceedings (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; CéDric Masclet

2013-01-01T23:59:59.000Z

411

High dimensional model representation based formulations for fuzzy finite element analysis of structures  

Science Conference Proceedings (OSTI)

This paper presents a practical approach based on high dimensional model representation (HDMR) for analyzing the response of structures with fuzzy parameters. The proposed methodology involves integrated finite element modeling, HDMR based response surface ... Keywords: Explicit formulation, Finite element, Fuzzy analysis, High dimensional model representation, Implicit formulation, Response surface

A. S. Balu; B. N. Rao

2012-03-01T23:59:59.000Z

412

Modeling DFIG Using General Vector Representation in the Presence of Harmonics  

Science Conference Proceedings (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

413

Towards a representation of diffusion and interaction of scientific ideas: The case of fiber optics communication  

Science Conference Proceedings (OSTI)

The research question studied in this contribution is how to find an adequate representation to describe the diffusion of scientific ideas over time. We claim that citation data, at least of articles that act as concept symbols, can be considered to ... Keywords: Academic space, Diffusion of scientific ideas, Evolution of science, Fiber optics communication, Informetrics, Innovation, Representations

Yuxian Liu; Ronald Rousseau

2012-07-01T23:59:59.000Z

414

Geometric representation of the generator of duality in massless and massive p-form field theories  

Science Conference Proceedings (OSTI)

We study the invariance under duality transformations in massless and massive p-form field theories and obtain the Noether generators of the infinitesimal transformations that correspond to this symmetry. These generators can be realized in geometrical representations that generalize the loop representation of the Maxwell field, allowing for a geometrical interpretation which is studied.

Contreras, Ernesto; Martinez, Yisely [Grupo de Campos y Particulas, Facultad de Ciencias, Universidad Central de Venezuela, AP 47270, Caracas 1041 - A (Venezuela, Bolivarian Republic of); Leal, Lorenzo [Grupo de Campos y Particulas, Facultad de Ciencias, Universidad Central de Venezuela, AP 47270, Caracas 1041 - A (Venezuela, Bolivarian Republic of); Departamento de Fisica, Universidad Simon Bolivar, AP 89000, Caracas 1080 - A (Venezuela, Bolivarian Republic of)

2010-11-15T23:59:59.000Z

415

The process approach to synthesizing and analyzing of 3D representations of complex technical objects  

Science Conference Proceedings (OSTI)

3D-representations of complex technical objects are the basis of today's industry. The proposed technology solves tasks of increasing the accuracy and comprehension of the 3D-representations, and decreasing the time needed to synthesize ones. It bases ... Keywords: 3D-models, fuzzy sets, linguistic variables, process estimation

A. F. Pokhilko; L. E. Kamalov

2013-03-01T23:59:59.000Z

416

A signal denoising algorithm based on overcomplete wavelet representations and Gaussian models  

Science Conference Proceedings (OSTI)

In this paper, we propose a simple signal estimation algorithm based on multiple wavelet representations and Gaussian observation models. The proposed algorithm has two major steps: a joint-optimum estimation of the wavelet coefficients and an averaging ... Keywords: Denoising, Over-complete representations, Wavelet transform

Guang Deng; David B. H. Tay; Slaven Marusic

2007-05-01T23:59:59.000Z

417

The intentional relationship of representation between the constructs of a language and reality  

Science Conference Proceedings (OSTI)

Specifications of conceptualisations (ontologies) are often employed for representing reality, both in knowledge representation and software engineering. While languages offer sophisticated constructs and rigorous semantics for building conceptual entities, ... Keywords: Conceptual modelling (7), Knowledge representation techniques, Language definition (19.1), Ontologies (26)

José M. Cañete-Valdeón; Francisco J. Galán; Miguel Toro

2009-02-01T23:59:59.000Z

418

Answer set programming for collaborative housekeeping robotics: representation, reasoning, and execution  

Science Conference Proceedings (OSTI)

Answer set programming (ASP) is a knowledge representation and reasoning paradigm with high-level expressive logic-based formalism, and efficient solvers; it is applied to solve hard problems in various domains, such as systems biology, wire routing, ... Keywords: Answer set programming, Commonsense knowledge, Housekeeping robotics, Knowledge representation, Reasoning

Esra Erdem; Erdi Aker; Volkan Patoglu

2012-11-01T23:59:59.000Z

419

A Functional Regression Approach for Prediction in a District-Heating System  

E-Print Network (OSTI)

A Functional Regression Approach for Prediction in a District-Heating System Aldo Goia Dipartimento in a district heating sys- tem. Our dataset consists of four separated periods, with 198 days each period and 24 load forecasting, district heat- ing system Introduction Among the activities of support

Paris-Sud XI, Université de

420

An autonomous GP-based system for regression and classification problems  

Science Conference Proceedings (OSTI)

The aim of this research is to develop an autonomous system for solving data analysis problems. The system, called Genetic Programming-Autonomous Solver (GP-AS) contains most of the features required by an autonomous software: it decides if it knows ... Keywords: 01.30. -y, Adaptive strategies, Autonomous systems, Classification, Genetic Programming, Symbolic regression

Mihai Oltean; Laura Dio?an

2009-01-01T23:59:59.000Z

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.


421

A Note on Static Software Reliability Models by GMDH: Comparison with a Multiple Regression Model  

Science Conference Proceedings (OSTI)

This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can be considered as an extension of ... Keywords: Software reliability, GMDH, Software project data, Software quality management, Regression analysis

Mitsuhiro Kimura; Ryohei Shimada

2012-11-01T23:59:59.000Z

422

Depth recovery using an adaptive color-guided auto-regressive model  

Science Conference Proceedings (OSTI)

This paper proposes an adaptive color-guided auto-regressive (AR) model for high quality depth recovery from low quality measurements captured by depth cameras. We formulate the depth recovery task into a minimization of AR prediction errors subject ... Keywords: AR model, depth camera, depth recovery, nonlocal filtering

Jingyu Yang; Xinchen Ye; Kun Li; Chunping Hou

2012-10-01T23:59:59.000Z

423

Short communication: Box and Cox power-transformation to confined and censored nonnormal responses in regression  

Science Conference Proceedings (OSTI)

We describe a Box and Cox power-transformation to confined and censored nonnormal responses in regression. We consider the most general situation where responses include four types of observations, i.e., right, left, interval-censored and exactly specified ... Keywords: Interval censoring, Left/right censoring, Power-normal distribution, Quasi EM-algorithm, Truncation

Toshimitsu Hamasaki; Seo Young Kim

2007-05-01T23:59:59.000Z

424

Machining force regression models and real time control when turning MET 4 metallized coating  

Science Conference Proceedings (OSTI)

Due to their wide range of application, metallized coatings are widely used in industry, both for wear resistance or corrosion protection. In order to obtain the required geometric precision, machining these coatings is many times required. As their ... Keywords: control system, experiments design, force, metallized coating, real time, regression, turning

Mihaiela Iliescu; Luigi Vl?d?reanu; Marius Soceanu

2011-07-01T23:59:59.000Z

425

Revenue forecasting using a least-squares support vector regression model in a fuzzy environment  

Science Conference Proceedings (OSTI)

Revenue forecasting is difficult but essential for companies that want to create high-quality revenue budgets, especially in an uncertain economic environment with changing government policies. Under these conditions, the subjective judgment of decision ... Keywords: Genetic algorithms, Least-squares support vector regression, Membership function, Revenue forecasting

Kuo-Ping Lin; Ping-Feng Pai; Yu-Ming Lu; Ping-Teng Chang

2013-01-01T23:59:59.000Z

426

An analysis of poverty in Italy through a fuzzy regression model  

Science Conference Proceedings (OSTI)

Over recent years, and related in particular to the significant recent international economic crisis, an increasingly worrying rise in poverty levels has been observed both in Italy, as well as in other countries. Such a phenomenon may be analysed from ... Keywords: Eu-Silc, fuzzy logic, poverty, regression model

Silvestro Montrone; Francesco Campobasso; Paola Perchinunno; Annarita Fanizzi

2011-06-01T23:59:59.000Z

427

A new extended Birnbaum-Saunders regression model for lifetime modeling  

Science Conference Proceedings (OSTI)

A new class of extended Birnbaum-Saunders regression models is introduced. It can be applied to censored data and be used more effectively in survival analysis and fatigue life studies. Maximum likelihood estimation of the model parameters with censored ... Keywords: Birnbaum-Saunders distribution, Censored data, Fatigue life distribution, Lifetime data, Local influence analysis

Artur J. Lemonte

2013-08-01T23:59:59.000Z

428

Integrating neural networks and logistic regression to underpin hyper-heuristic search  

Science Conference Proceedings (OSTI)

A hyper-heuristic often represents a heuristic search method that operates over a space of heuristic rules. It can be thought of as a high level search methodology to choose lower level heuristics. Nearly 200 papers on hyper-heuristics have recently ... Keywords: Data mining, Educational timetabling, Hyper-heuristic, Logistic regression, Neural network

Jingpeng Li; Edmund K. Burke; Rong Qu

2011-03-01T23:59:59.000Z

429

Deterministic regression model and visual basic code for optimal forecasting of financial time series  

Science Conference Proceedings (OSTI)

A new, non-statistical method is presented for analysis of the past history and current evolution of economic and financial processes. The method is based on the sliding model approach using linear differential or difference equations applied to discrete ... Keywords: Optimal forecasting in finance, Sliding deterministic regression models

Alejandro Balbás; Beatriz Balbás; Inna Galperin; Efim Galperin

2008-11-01T23:59:59.000Z

430

Estimation and regularization techniques for regression models with multidimensional prediction functions  

Science Conference Proceedings (OSTI)

Boosting is one of the most important methods for fitting regression models and building prediction rules. A notable feature of boosting is that the technique can be modified such that it includes a built-in mechanism for shrinking coefficient estimates ... Keywords: Count data model, Gradient boosting, Multidimensional prediction function, Scale parameter estimation, Variable selection

Matthias Schmid; Sergej Potapov; Annette Pfahlberg; Torsten Hothorn

2010-04-01T23:59:59.000Z

431

Learning uncertainty models from weather forecast performance databases using quantile regression  

Science Conference Proceedings (OSTI)

Forecast uncertainty information is not available in the immediate output of Numerical weather prediction (NWP) models. Such important information is required for optimal decision making processes in many domains. Prediction intervals are a prominent ... Keywords: numerical weather forecast, prediction interval, quantile regression, uncertainty modeling

Ashkan Zarnani; Petr Musilek

2013-07-01T23:59:59.000Z

432

Support vector regression with chaos-based firefly algorithm for stock market price forecasting  

Science Conference Proceedings (OSTI)

Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as the Box-Jenkins autoregressive integrated moving average (ARIMA) are not adequate for stock market ... Keywords: Chaotic mapping, Firefly algorithm, Stock market price forecasting, Support vector regression

Ahmad Kazem; Ebrahim Sharifi; Farookh Khadeer Hussain; Morteza Saberi; Omar Khadeer Hussain

2013-02-01T23:59:59.000Z

433

Applicability of Regression Technique for Physical Modeling: A case study on Adsorption in Wastewater Treatment  

E-Print Network (OSTI)

The reliability of Physical Modeling in applications such as Adsorption and Heat transfer studies is not accurate since their mechanisms are complex and a proper understanding of the physics of the system is incomplete. In order to verify the applicability of Regression technique for Physical Modeling, a physical model is developed based on Multiple regression technique to predict the Pollutant Removal efficiency of fluoride in adsorption studies. Two sets of data points are collected viz., of twenty-one points consisting of homogeneous data with respect to adsorbent and of forty-eight points (heterogeneous data, including the above twenty-one points) and tested with the model. Results showed that, the physical model is giving encouraging results for homogeneous data (Standard Deviation (SD): 0.157) but is giving erratic results (SD: 0.361) for the heterogeneous data. The heterogeneous data consists of non-linear adsorption data, which the model could not predict accurately indicating that, the Regression technique holds a limitation in understanding the physics of the system. Novel techniques such as ANN can be used to predict the output from the data set with better accuracy than that using Regression technique. Back propagation Network of ANN is used as a test trial for the above database and the results are encouraging (SD: 0.29) with respect to heterogeneous data.

B. V. Babu; V. Ramakrishna

2002-01-01T23:59:59.000Z

434

Spline regression based feature extraction for semiconductor process fault detection using support vector machine  

Science Conference Proceedings (OSTI)

Quality control is attracting more attention in semiconductor market due to harsh competition. This paper considers Fault Detection (FD), a well-known philosophy in quality control. Conventional methods, such as non-stationary SPC chart, PCA, PLS, and ... Keywords: Fault detection, Feature extraction, Semiconductor manufacturing, Spline regression, Support vector machine

Jonghyuck Park; Ick-Hyun Kwon; Sung-Shick Kim; Jun-Geol Baek

2011-05-01T23:59:59.000Z

435

Aerosol optical thickness retrieval from satellite observation using support vector regression  

Science Conference Proceedings (OSTI)

Processing of data recorded by the MODIS sensors on board the Terra and Aqua satellites has provided AOT maps that in some cases show low correlations with ground-based data recorded by the AERONET. Application of SVR techniques to MODIS data is a promising, ... Keywords: MODIS, aerosol optical thickness, earth observation, remote sensing, support vector regression

Thi Nhat Thanh Nguyen; Simone Mantovani; Piero Campalani; Mario Cavicchi; Maurizio Bottoni

2010-11-01T23:59:59.000Z

436

Modeling of permeability and compaction characteristics of soils using evolutionary polynomial regression  

Science Conference Proceedings (OSTI)

This paper presents a new approach, based on evolutionary polynomial regression (EPR), for prediction of permeability (K), maximum dry density (MDD), and optimum moisture content (OMC) as functions of some physical properties of soil. EPR is a data-driven ... Keywords: Data mining, Evolutionary computing, Maximum dry density, Optimum moisture content, Permeability

A. Ahangar-Asr; A. Faramarzi; N. Mottaghifard; A. A. Javadi

2011-11-01T23:59:59.000Z

437

A multivariate linear regression analysis using finite mixtures of t distributions  

Science Conference Proceedings (OSTI)

Recently, finite mixture models have been used to model the distribution of the error terms in multivariate linear regression analysis. In particular, Gaussian mixture models have been employed. A novel approach that assumes that the error terms follow ... Keywords: EM algorithm, Maximum likelihood, Model identifiability, Non-normal error distribution, Unobserved heterogeneity

Giuliano Galimberti, Gabriele Soffritti

2014-03-01T23:59:59.000Z

438

Your Data Analysis Needs and Tukey Joseph A. Insley Data Representations: Volume Rendering  

NLE Websites -- All DOE Office Websites (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)

439

: Robotics – Intelligence Kernel  

This is a guidance system that utilizes GPS and an autonomous control system incorporated into the operating system of industrial and agricultural ...

440

Extensions of representations of the CAR algebra to the Cuntz algebra $O_{2}$ - The fock and the infinite wedge  

E-Print Network (OSTI)

Extensions of representations of the CAR algebra to the Cuntz algebra $O_{2}$ - The fock and the infinite wedge

Kawamura, K

2004-01-01T23:59:59.000Z

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

The effects of constructing domain-specific representations on coordination processes and learning in a CSCL-environment  

Science Conference Proceedings (OSTI)

This study examined the effects of scripting learners' use of two types of representational tools (i.e., causal and simulation) on their online collaborative problem-solving. Scripting sequenced the phase-related part-task demands and made them explicit. ... Keywords: Complex learning-tasks, Computer supported collaborative learning, Coordination processes, External representations, Representational scripting

Bert Slof; Gijsbert Erkens; Paul A. Kirschner

2012-07-01T23:59:59.000Z

442

Fluctuation studies in the infinite interval matrix representations of operator products and their decompositions  

SciTech Connect

In this work a study on finite dimensional matrix approximations to products of quantum mechanical operators is conducted. It is emphasized that the matrix representation of the product of two operators is equal to the product of the matrix representation of each of the operators when all the fluctuation terms are ignored. The calculation of the elements of the matrices corresponding to the matrix representation of various operators, based on three terms recursive relation is defined. Finally it is shown that the approximation quality depends on the choice of higher values of n, namely the dimension of Hilbert space.

Baykara, N. A.; Guervit, Ercan; Demiralp, Metin [Marmara University, Department of Mathematics, Goeztepe, 34722, Istanbul (Turkey); Istanbul Technical University, Informatics Institute, Maslak, 34469, Istanbul (Turkey)

2012-12-10T23:59:59.000Z

443

Complex-wide representation of material packaged in 3013 containers  

SciTech Connect

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

444

An outdoor time scenes simulation scheme based on support vector regression with radial basis function on DCT domain  

Science Conference Proceedings (OSTI)

In this paper, a novel strategy for forecasting outdoor scenes is introduced. This new approach combines the support vector regression in neural network computation and the discrete cosine transform (DCT). In 1995, Vapnik introduced a neural-network ... Keywords: Discrete cosine transform, Neural network, Radial basis function (RBF), Scene, Support vector regression

Chen-Chung Liu; Kai-Wen Chuang

2009-09-01T23:59:59.000Z

445

Derivation of empirical equations for neutronic performance in a thorium fusion breeder with various coolants using regression analysis  

Science Conference Proceedings (OSTI)

In this paper, regression analyses (RA) are presented for the neutronic calculation of ThO"2 mixed ^2^4^4CmO"2 fuel with different neutronic parameters for various coolants, natural lithium, Li"2"0Sn"8"0 and Flinabe, respectively. The tritium breeding ... Keywords: Correlation matrix, Neutronic analysis, Regression analysis

Adem Ac?r; Nilüfer Pekin Alakoç

2011-08-01T23:59:59.000Z

446

Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)  

Science Conference Proceedings (OSTI)

Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial ... Keywords: Artificial Neural Networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Exchange rate, Financial markets, Fuzzy logic, Time series forecasting

Mehdi Khashei; Mehdi Bijari; Gholam Ali Raissi Ardali

2009-01-01T23:59:59.000Z

447

The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements  

Science Conference Proceedings (OSTI)

In this paper a brute force logistic regression (LR) modeling approach is proposed and used to develop predictive credit scoring model for corporate entities. The modeling is based on 5years of data from end-of-year financial statements of Serbian corporate ... Keywords: Corporate entities, Credit scoring, Logistic regression, Probability of default, Weight of evidence approach

Nebojsa Nikolic, Nevenka Zarkic-Joksimovic, Djordje Stojanovski, Iva Joksimovic

2013-11-01T23:59:59.000Z

448

Global dynamics of a system governing an algorithm for regression with censored and non-censored data under general errors  

Science Conference Proceedings (OSTI)

We present an investigation into the dynamics of a system, which underlies a new estimating algorithm for regression with grouped and nongrouped data. The algorithm springs from a simplification of the well-known EM algorithm, in which the expectation ... Keywords: censored data, global dynamics, imputation, iterative estimation, regression

Carlos Rivero; Ángela Castillo; Pedro J. Zufiria; Teófilo Valdés

2004-04-01T23:59:59.000Z

449

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation  

Science Conference Proceedings (OSTI)

Context: In software industry, project managers usually rely on their previous experience to estimate the number men/hours required for each software project. The accuracy of such estimates is a key factor for the efficient application of human resources. ... Keywords: Feature selection, Genetic algorithms, Regression, Software effort estimation, Support vector regression

Adriano L. I. Oliveira; Petronio L. Braga; Ricardo M. F. Lima; Márcio L. Cornélio

2010-11-01T23:59:59.000Z

450

A network of spiking neurons for computing sparse representations in an energy-efficient way  

Science Conference Proceedings (OSTI)

Computing sparse redundant representations is an important problem in both applied mathematics and neuroscience. In many applications, this problem must be solved in an energy-efficient way. Here, we propose a hybrid distributed algorithm (HDA), which ...

Tao Hu; Alexander Genkin; Dmitri B. Chklovskii

2012-11-01T23:59:59.000Z

451

Representation of Topography in Spectral Climate Models and Its Effect on Simulated Precipitation  

Science Conference Proceedings (OSTI)

Spectral climate models are distinguished by their representation of variables as finite sums of spherical harmonics, with coefficients computed by an orthogonal projection of the variables onto the spherical harmonics. Representing the surface ...

Craig Lindberg; Anthony J. Broccoli

1996-11-01T23:59:59.000Z

452

Explicit Representation of Subgrid Heterogeneity in a GCM Land Surface Scheme  

Science Conference Proceedings (OSTI)

A land surface scheme that may be run with or without a tiled representation of subgrid heterogeneity and includes an implicit atmospheric coupling scheme is described. Simulated average surface air temperatures and diurnal temperature ranges in ...

R. L. H. Essery; M. J. Best; R. A. Betts; P. M. Cox; C. M. Taylor

2003-06-01T23:59:59.000Z

453

Improved representation of tropical Pacific ocean-atmosphere dynamics in an intermediate complexity climate model  

Science Conference Proceedings (OSTI)

A new anomaly coupling technique is introduced into a coarse-resolution dynamic climate model (LOVECLIM), improving the model’s representation of eastern equatorial Pacific surface temperature variability. The anomaly coupling amplifies the ...

Ryan L. Sriver; Axel Timmermann; Michael E. Mann; Klaus Keller; Hugues Goosse

454

Neural Network Input Representations that Produce Accurate Consensus Sequences from DNA Fragment Assemblies  

E-Print Network (OSTI)

Motivation: Given inputs extracted from an aligned column of DNA bases and the underlying Perkin Elmer Applied Biosystems (ABI) fluorescent traces, our goal is to train a neural network to correctly determine the consensus base for the column. Choosing an appropriate network input representation is critical to success in this task. We empirically compare five representations; one uses only base calls and the others include trace information. Results: We attained the most accurate results from networks that incorporate trace information into their input representations. Based on estimates derived from using 10-fold cross-validation, the best network topology produces consensus accuracies ranging from 99.26% to over 99.98% for coverages from two to six aligned sequences. With a coverage of six, it makes only three errors in 20,000 consensus calls. In contrast, the network that only uses base calls in its input representation has over double that error rate -- eight errors in 20,000 cons...

C.F. Allex; J.W. Shavlik; F.R. Blattner

1999-01-01T23:59:59.000Z

455

Cakewalking into representation : Gabriele Münter's America travels (1898-1900) and art of dailiness  

E-Print Network (OSTI)

This study explores the fashioning of Gabriele Münter as a German modernist with a focus on the eclipse of her struggles in coming to representation, the rich complexity of her processes, and the importance of dailiness ...

Bible, Ann Vollmann

2008-01-01T23:59:59.000Z

456

Time, speed and perception : intervals in the representation of architectural space  

E-Print Network (OSTI)

Although the notion of "space" in architecture is a relatively contemporary one, this research looks at the difference between the conception and representation of space and the actual material reality. With contemporary ...

Okamoto, Hiroshi, 1968-

2000-01-01T23:59:59.000Z

457

Representation of Water Table Dynamics in a Land Surface Scheme. Part II: Subgrid Variability  

Science Conference Proceedings (OSTI)

A lumped unconfined aquifer model has been developed and interactively coupled to a land surface scheme in a companion paper. Here, the issue of the representation of subgrid variability of water table depths (WTDs) is addressed. A statistical–...

Pat J-F. Yeh; Elfatih A. B. Eltahir

2005-06-01T23:59:59.000Z

458

An Approach for the Representation of Surface Heterogeneity in Land Surface Models. Part I: Theoretical Framework  

Science Conference Proceedings (OSTI)

In this paper, a theoretical framework is described for the representation of surface heterogeneity within complex biophysical surface schemes for use in climate models. The methodology adopts aspects of the mosaic approach and the statistical–...

Filippo Giorgi

1997-08-01T23:59:59.000Z

459

The Numerical Representation of Entrainment in Parameterizations of Boundary Layer Turbulent Mixing  

Science Conference Proceedings (OSTI)

Problems have been identified with parameterizations of convective boundary layers, in particular with their numerical treatment of the capping inversion. It is shown that the turbulence scheme can combine with the numerical representation of ...

A. P. Lock

2001-05-01T23:59:59.000Z

460

Street-based Topological Representations and Analyses for Predicting Traffic Flow in GIS  

E-Print Network (OSTI)

It is well received in the space syntax community that traffic flow is significantly correlated to a morphological property of streets, which are represented by axial lines, forming a so called axial map. The correlation co-efficient (R square value) approaches 0.8 and even a higher value according to the space syntax literature. In this paper, we study the same issue using the Hong Kong street network and the Hong Kong Annual Average Daily Traffic (AADT) datasets, and find surprisingly that street-based topological representations (or street-street topologies) tend to be better representations than the axial map. In other words, vehicle flow is correlated to a morphological property of streets better than that of axial lines. Based on the finding, we suggest the street-based topological representations as an alternative GIS representation, and the topological analyses as a new analytical means for geographic knowledge discovery.

Jiang, Bin

2007-01-01T23:59:59.000Z

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.


461

Representation of Eddies in Primitive Equation Models by a PV Flux  

Science Conference Proceedings (OSTI)

The parametric representation of buoyancy and momentum transport by baroclinic eddies in a primitive equation “? plane” channel is studied through a transformation of the governing equations. Adoption of the“transformed Eulerian mean” and the ...

Richard Wardle; John Marshall

2000-10-01T23:59:59.000Z

462

The parabolic Sturmian-function basis representation of the six-dimensional Coulomb Green's function  

E-Print Network (OSTI)

The square integrable basis set representation of the resolvent of the asymptotic three-body Coulomb wave operator in parabolic coordinates is obtained. The resulting six-dimensional Green's function matrix is expressed as a convolution integral over separation constants.

S. A. Zaytsev

2008-06-03T23:59:59.000Z

463

Near the sill of the conformal window: gauge theories with fermions in two-index representations  

E-Print Network (OSTI)

We apply Schroedinger functional methods to two gauge theories with fermions in two-index representations: the SU(3) theory with Nf=2 adjoint fermions, and the SU(4) theory with Nf=6 fermions in the two-index antisymmetric representation. Each theory is believed to lie near the bottom of the conformal window for its respective representation. In the SU(3) theory we find a small beta function in strong coupling but we cannot confirm or rule out an infrared fixed point. In the SU(4) theory we find a hint of walking - a beta function that approaches the axis and then turns away from it. In both theories the mass anomalous dimension remains small even at the strongest couplings, much like the theories with fermions in the two-index symmetric representation investigated earlier.

Thomas DeGrand; Yigal Shamir; Benjamin Svetitsky

2013-07-09T23:59:59.000Z

464

On the Representation of Reynolds Stress in Estuaries and Shallow Coastal Seas  

Science Conference Proceedings (OSTI)

A model for the representation of the Reynolds-stress tensor in three-dimensional hydrodynamic models of shallow water flows is derived which combines the accuracy of turbulence-energy closure schemes with the computational efficiency of ...

T. J. Smith

1982-08-01T23:59:59.000Z

465

Making the numbers : agency in computer-generated formal representations of sales work  

E-Print Network (OSTI)

This research builds on the literature on information technology and organizations to suggest an alternative to the current understanding of the production of computer-generated formal representations of work. This literature ...

Cunha, José João Marques de Oliveria Vieira da

2006-01-01T23:59:59.000Z

466

Blind Separation of Underdetermined Convolutive Mixtures Using Their Time–Frequency Representation  

Science Conference Proceedings (OSTI)

This paper considers the blind separation of nonstationary sources in the underdetermined convolutive mixture case. We introduce, two methods based on the sparsity assumption of the sources in the time-frequency (TF) domain. The first one assumes that ... Keywords: Blind source separation (BSS), convolutive mixture, sparse signal decomposition/representation, speech signals, subspace projection, time–frequency distribution (TFD), underdetermined/overcomplete representation, vector clustering

A. Aissa-El-Bey; K. Abed-Meraim; Y. Grenier

2007-07-01T23:59:59.000Z

467

Not a One-Way Street: Exploring the Role of Intersectional Representation on African American Male Students  

E-Print Network (OSTI)

Representation is an enduring area of research in Political Science. While there has been an extensive amount of research in the area of minority representation, there is substantially less work considering multiple identities. Using the concept of intersectionality, this dissertation explores the role of multiple identities in representation. I argue that intersectional representation, that is, representation based on multiple identities provides a thorough interpretation of real world phenomena. To test my arguments, I utilize quantitative methods to empirically assess the role of intersectional representation on public policy outcomes. The goal of this dissertation is three-fold. First, I incorporate the concept of intersectionality of race and gender into the public policy and public management literature. Second, I explore intersectionality and representation with gender from a perspective that has not been extensively addressed in the political science literature—namely, a concentration on males, instead of females. Third, I develop a theory of intersectional representation which links to public policy outcomes. In order to test my theory, I explore the role of Black male representation in the bureaucracy and in local political bodies on Black male student outcomes. I find that representation based on both race and gender is associated with both positive and negative public policy outcomes for Black male students. Specifically, in Chapter I, the results indicate that Black male teachers are associated with a decreased presence of Black male students in low tracked courses and upper level honors courses. The following chapter shows that intersectional political representation, that is, Black male school board representation, is also associated with positive outcomes for Black male students. The last empirical chapter indicates that intersectional stability is associated with an increase of Black male students in low track courses. In general, the findings indicate that intersectional representation is consequential for public policy outcomes, both in negative and positive ways. The dissertation challenges the way representation is conceptualized, as to capture the simultaneous effect of both race and gender on public policy outcomes of represented groups.

Walker, Meredith Brooke Loudd

2011-05-01T23:59:59.000Z

468

Open source software maturity model based on linear regression and Bayesian analysis  

E-Print Network (OSTI)

Open Source Software (OSS) is widely used and is becoming a significant and irreplaceable part of the software engineering community. Today a huge number of OSS exist. This becomes a problem if one needs to choose from such a large pool of OSS candidates in the same category. An OSS maturity model that facilitates the software assessment and helps users to make a decision is needed. A few maturity models have been proposed in the past. However, the parameters in the model are assigned not based on experimental data but on human experiences, feelings and judgments. These models are subjective and can provide only limited guidance for the users at the best. This dissertation has proposed a quantitative and objective model which is built from the statistical perspective. In this model, seven metrics are chosen as criteria for OSS evaluation. A linear multiple-regression model is created to assign a final score based on these seven metrics. This final score provides a convenient and objective way for the users to make a decision. The coefficients in the linear multiple-regression model are calculated from 43 OSS. From the statistical perspective, these coefficients are considered random variables. The joint distribution of the coefficients is discussed based on Bayesian statistics. More importantly, an updating rule is established through Bayesian analysis to improve the joint distribution, and thus the objectivity of the coefficients in the linear multiple-regression model, according to new incoming data. The updating rule provides the model the ability to learn and improve itself continually.

Zhang, Dongmin

2007-08-01T23:59:59.000Z

469

Kuparuk River field: a regression approach to pseudo-relative permeabilities  

SciTech Connect

The Kuparuk River field located about 25 miles west of the Prudhoe Bay Unit, North Slope Alaska, represents a large accumulation of oil spread over a wide areal extent. The large areal extent of the reservoir presented a major difficulty for full scale reservoir simulation of this field especially under waterflood conditions. To overome this difficulty a regression approach was successfully used to match finely-gridded, three-dimensional waterflood models with coarse-grid models. With this technique it was possible to construct a fieldwide model for facilities planning and to study the effect of facilities on ultimate recovery from the reservoir. 6 refs.

Johnson, J.B.; Nanney, M.M.; Killough, J.E.; Lin, Y.T.

1982-01-01T23:59:59.000Z

470

System for conversion between the boundary representation model and a constructive solid geometry model of an object  

DOE Patents (OSTI)

A system converts from the boundary representation of an object to the constructive solid geometry representation thereof. The system converts the boundary representation of the object into elemental atomic geometrical units or I-bodies which are in the shape of stock primitives or regularized intersections of stock primitives. These elemental atomic geometrical units are then represented in symbolic form. The symbolic representations of the elemental atomic geometrical units are then assembled heuristically to form a constructive solid geometry representation of the object usable for manufacturing thereof. Artificial intelligence is used to determine the best constructive solid geometry representation from the boundary representation of the object. Heuristic criteria are adapted to the manufacturing environment for which the device is to be utilized. The surface finish, tolerance, and other information associated with each surface of the boundary representation of the object are mapped onto the constructive solid geometry representation of the object to produce an enhanced solid geometry representation, particularly useful for computer-aided manufacture of the object.

Christensen, Noel C. (Kansas City, MO); Emery, James D. (Kansas City, MO); Smith, Maurice L. (Kansas City, MO)

1988-04-05T23:59:59.000Z

471

System for conversion between the boundary representation model and a constructive solid geometry model of an object  

DOE Patents (OSTI)

A system converts from the boundary representation of an object to the constructive solid geometry representation thereof. The system converts the boundary representation of the object into elemental atomic geometrical units or I-bodies which are in the shape of stock primitives or regularized intersections of stock primitives. These elemental atomic geometrical units are then represented in symbolic form. The symbolic representations of the elemental atomic geometrical units are then assembled heuristically to form a constructive solid geometry representation of the object usable for manufacturing thereof. Artificial intelligence is used to determine the best constructive solid geometry representation from the boundary representation of the object. Heuristic criteria are adapted to the manufacturing environment for which the device is to be utilized. The surface finish, tolerance, and other information associated with each surface of the boundary representation of the object are mapped onto the constructive solid geometry representation of the object to produce an enhanced solid geometry representation, particularly useful for computer-aided manufacture of the object. 19 figs.

Christensen, N.C.; Emery, J.D.; Smith, M.L.

1985-04-29T23:59:59.000Z

472

Increased precision in sampling using regression modeling, with an application to electric load research  

SciTech Connect

A model is given for situations in survey sampling in which the characteristic of interest is an expected value of the dependent variable in a regression. For each sample unit, a regression can be used to estimate the expected value of the characteristic of interest for a given set of values of the explanatory variables. The model can be used to calculate the expected value and variance of an estimator of the population total of the expected value of the characteristic of interest, for a given set of values of the explanatory variables. The application involves the estimation of a class-load curve on the system peak day of an electric utility. The conventional method uses, for each customer in the sample, the customer's actual demand on the system peak day to estimate the customer's expected demand under the conditions of the peak day. The proposed method uses, for each customer in the sample, a model to estimate the customer's expected demand under the conditions of the peak day. The conditions are variables such as the time-of-day and weather. The variance of an estimator of a class expected load curve under the conditions of the peak day may be reduced by using the proposed method instead of the conventional method.

Oberg, K.M.

1988-01-01T23:59:59.000Z

473

Application of dynamic linear regression to improve the skill of ensemble-based deterministic ozone forecasts  

SciTech Connect

Forecasts from seven air quality models and surface ozone data collected over the eastern USA and southern Canada during July and August 2004 provide a unique opportunity to assess benefits of ensemble-based ozone forecasting and devise methods to improve ozone forecasts. In this investigation, past forecasts from the ensemble of models and hourly surface ozone measurements at over 350 sites are used to issue deterministic 24-h forecasts using a method based on dynamic linear regression. Forecasts of hourly ozone concentrations as well as maximum daily 8-h and 1-h averaged concentrations are considered. It is shown that the forecasts issued with the application of this method have reduced bias and root mean square error and better overall performance scores than any of the ensemble members and the ensemble average. Performance of the method is similar to another method based on linear regression described previously by Pagowski et al., but unlike the latter, the current method does not require measurements from multiple monitors since it operates on individual time series. Improvement in the forecasts can be easily implemented and requires minimal computational cost.

Pagowski, M O; Grell, G A; Devenyi, D; Peckham, S E; McKeen, S A; Gong, W; Monache, L D; McHenry, J N; McQueen, J; Lee, P

2006-02-02T23:59:59.000Z

474

A modified SMO algorithm for SVM regression and its application in quality prediction of HP-LDPE  

Science Conference Proceedings (OSTI)

A modified sequential minimal optimization (SMO) algorithm for support vector machine (SVM) regression is proposed based on Shevade's SMO-1 algorithm. The main improvement is that a modified heuristics method is used in this modified SMO algorithm ...

Hengping Zhao; Jinshou Yu

2005-08-01T23:59:59.000Z

475

Own-price and income elasticities for household electricity demand : a survey of literature using meta-regression analysis.  

E-Print Network (OSTI)

??Maria Wist Langmoen Own-price and income elasticities for household electricity demand -A Literature survey using meta-regression analysis Economists have been modelling the electricity demand for… (more)

Langmoen, Maria Wist

2004-01-01T23:59:59.000Z

476

Comparison of the prediction accuracy of daily and monthly regression models for energy consumption in commercial buildings  

E-Print Network (OSTI)

The measured energy savings from retrofits in commercial buildings are generally determined as the difference between the energy consumption predicted using a baseline model and the measured energy consumption during the post retrofit period. Most baseline models are developed by regressing the daily energy consumption versus the daily average temperature (daily models) or by regressing the monthly energy consumption versus the monthly average temperature (monthly models). Since the post-retrofit weather is generally different from the weather used for model development, the prediction error of the baseline model may be different from the fitting error. Daily and monthly baseline models were developed for a midsize commercial building with (i) dual-duct CAV and VAV systems, (ii) office and university occupancy schedules, and (iii) different operating practices using the weather of a mild weather year. The prediction errors were identified as the difference between the energy use predicted by the regression models and the values simulated by a calibrated simulation program when both models use weather from a year very different from the weather year used to develop the regression model. The major results are summarized below: 1. When the AHUs operate 24 hours per day, annual energy prediction errors of daily regression models were found to be less than 1.4%. The errors of monthly regression models were found to be in the same range as the error of the daily models. 2. When the AHUs were shut down during unoccupied periods, annual prediction errors for both daily and monthly regression models were as high as 15%. However, the prediction error of daily regression models can be decreased to a range of 2% to 3% if the daily average energy consumption is regressed versus the average temperature during the operation period. Based on these findings, we suggest use of daily or monthly regression models when the AHUs are operated 24 hours per day. When shut-down is performed during unoccupied hours, daily energy consumption should be regressed versus the average ambient temperature during operating hours to develop the baseline model.

Wang, Jinrong

1996-01-01T23:59:59.000Z

477

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

NLE Websites -- All DOE Office Websites (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

478

N-density representability and the optimal transport limit of the Hohenberg-Kohn functional  

E-Print Network (OSTI)

We derive and analyze a hierarchy of approximations to the strongly correlated limit of the Hohenberg-Kohn functional. These "density representability approximations" are obtained by first noting that in the strongly correlated limit, N-representability of the pair density reduces to the requirement that the pair density must come from a symmetric N-point density. One then relaxes this requirement to the existence of a representing symmetric k-point density with k < N. The approximate energy can be computed by simulating a fictitious k-electron system. We investigate the approximations by deriving analytically exact results for a 2-site model problem, and by incorporating them into a self-consistent Kohn-Sham calculation for small atoms. We find that the low order representability conditions already capture the main part of the correlations.

Friesecke, Gero; Pass, Brendan; Cotar, Codina; Klüppelberg, Claudia

2013-01-01T23:59:59.000Z

479

Efficient pointwise representations for vibrational wave functions: Eigenfunctions of H/sup +//sub 3/  

SciTech Connect

The successive truncation--diagonalization method described in previous work (Z. Bac-breveic, R. M. Whitnell, D. Brown and J. C. Light, Comp. Phys. Comm. (to be published)) is generalized to a three-dimensional discrete variable representation (DVR). The use of the 3D DVR leads to a sparse Hamiltonian matrix that makes the transformations used in the successive truncation-diagonalization technique very efficient. The method is applied to J = 0 H/sup +//sub 3/ using a hyperspherical coordinate system. Full symmetry adaptation of the DVR is used allowing a complete resolution of the vibrational eigenfunctions into the D/sub 3//sub h/ irreducible representations. Converged eigenvalues up to approx.20 000 cm/sup -1/ are reported for all representations. This method is thereby shown to be both efficient and accurate for calculating triatomic vibrational states with large amplitude motion.

Whitnell, R.M.; Light, J.C.

1989-02-01T23:59:59.000Z

480

Bending Fuchsian representations of fundamental groups of cusped surfaces in PU(2,1)  

E-Print Network (OSTI)

We describe a family of representations of $\\pi_1(\\Sigma)$ in PU(2,1), where $\\Sigma$ is a hyperbolic Riemann surface with at least one deleted point. This family is obtained by a bending process associated to an ideal triangulation of $\\Sigma$. We give an explicit description of this family by describing a coordinates system in the spirit of shear coordinates on the Teichm\\"uller space. We identify within this family new examples of discrete, faithful and type-preserving representations of $\\pi_1(\\Sigma)$. In turn, we obtain a 1-parameter family of embeddings of the Teichm\\"uller space of $\\Sigma$ in the PU(2,1)-representation variety of $\\pi_1(\\Sigma)$. These results generalise to arbitrary $\\Sigma$ the results obtained in a previous paper for the 1-punctured torus.

Will, Pierre

2011-01-01T23:59:59.000Z

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481

Controlled Nonlinear Stochastic Delay Equations: Part II: Approximations and Pipe-Flow Representations  

SciTech Connect

This is the second part of a work dealing with key issues that have not been addressed in the modeling and numerical optimization of nonlinear stochastic delay systems. We consider new classes of models, such as those with nonlinear functions of several controls (such as products), each with is own delay, controlled random Poisson measure driving terms, admissions control with delayed retrials, and others. Part I was concerned with issues concerning the class of admissible controls and their approximations, since the classical definitions are inadequate for our models. This part is concerned with transportation equation representations and their approximations. Such representations of nonlinear stochastic delay models have been crucial in the development of numerical algorithms with much reduced memory and computational requirements. The representations for the new models are not obvious and are developed. They also provide a template for the adaptation of the Markov chain approximation numerical methods.

Kushner, Harold J., E-mail: hjk@dam.brown.edu [Brown University, Applied Math (United States)

2012-08-15T23:59:59.000Z

482

Similarity Renormalization Group Evolution of Three-Nucleon Forces in a Hyperspherical Momentum Representation  

E-Print Network (OSTI)

A new framework for computing the Similarity Renormalization Group (SRG) evolution of three-nucleon forces (3NF) in momentum representation is presented. The use of antisymmetric three-particle hyperspherical momentum states ensures unitary evolutions within certain basis truncations, much like antisymmetric harmonic oscillator SRG evolutions. Additionally, in each partial wave the $T_{\\mbox{rel}}$-SRG regulator is exactly represented, similar to recent 3NF momentum representation evolutions. Unitary equivalence is demonstrated for the triton using several chiral two- plus three-nucleon interactions. This method allows for a clean visualization of the evolution of the three-nucleon forces, which manifests the SRG decoupling pattern and low-momentum universality.

Kyle A. Wendt

2013-04-04T23:59:59.000Z

483

Index integral representations for connection between cartesian, cylindrical, and spheroidal systems  

SciTech Connect

In this paper, we present two new index integral representations for connection between cartesian, cylindrical, and spheroidal coordinate systems in terms of Bessel, MacDonald, and conical functions. Our result is mainly motivated by solution of the boundary value problems in domains composed of both cartesian and hyperboloidal boundaries, and the need for new integral representations that facilitate the transformation between these coordinates. As a by-product, the special cases of our results will produce new proofs to known index integrals and provide some new integral identities.

Passian, Ali [ORNL; Koucheckian, Sherwin [University of South Florida, Tampa; Yakubovich, Semyon [University of Porto, Portugal

2011-01-01T23:59:59.000Z

484

Kraus representation for maps and master equation in spin star model with layered environment  

E-Print Network (OSTI)

Quantum operations are usually defined as completely positive (CP), trace preserving (TP) maps on quantum states, and can be represented by operator-sum or Kraus representations. In this paper, we calculate operator-sum representation and master equation of an exactly solvable dynamic of one-qubit open system in layered environment . On the other hand, we obtain exact Nakajima-Zwanzig (NZ) and time-convolutionless (TCL) master equation from the maps. Finally, we study a simple example to consider the relation between CP maps and initial quantum correlation and show that vanishing initial quantum correlation is not necessary for CP maps.

Mahmoud Mahdian; Hadi Mehrabpour

2013-04-22T23:59:59.000Z

485

Learning with multiple representations: An example of a revision lesson in mechanics  

E-Print Network (OSTI)

We describe an example of learning with multiple representations in an A-level revision lesson on mechanics. The context of the problem involved the motion of a ball thrown vertically upwards in air and studying how the associated physical quantities changed during its flight. Different groups of students were assigned to look at the ball's motion using various representations: motion diagrams, vector diagrams, free-body diagrams, verbal description, equations and graphs, drawn against time as well as against displacement. Overall, feedback from students about the lesson was positive. We further discuss the benefits of using computer simulation to support and extend student learning.

Wong, Darren; Ng, Eng Hock; Wee, Loo Kang; 10.1088/0031-9120/46/2/005

2012-01-01T23:59:59.000Z

486

Multi-Component NLS Models on Symmetric Spaces: Spectral Properties versus Representations Theory  

E-Print Network (OSTI)

The algebraic structure and the spectral properties of a special class of multi-component NLS equations, related to the symmetric spaces of {\\bf BD.I}-type are analyzed. The focus of the study is on the spectral theory of the relevant Lax operators for different fundamental representations of the underlying simple Lie algebra $\\mathfrak{g}$. Special attention is paid to the structure of the dressing factors in spinor representation of the orthogonal simple Lie algebras of ${\\bf B}_r\\simeq so(2r+1,{\\mathbb C})$ type.

Vladimir S. Gerdjikov; Georgi G. Grahovski

2010-06-02T23:59:59.000Z

487

Multi-Component NLS Models on Symmetric Spaces: Spectral Properties versus Representations Theory  

E-Print Network (OSTI)

The algebraic structure and the spectral properties of a special class of multi-component NLS equations, related to the symmetric spaces of {\\bf BD.I}-type are analyzed. The focus of the study is on the spectral theory of the relevant Lax operators for different fundamental representations of the underlying simple Lie algebra $\\mathfrak{g}$. Special attention is paid to the structure of the dressing factors in spinor representation of the orthogonal simple Lie algebras of ${\\bf B}_r\\simeq so(2r+1,{\\mathbb C})$ type.

Gerdjikov, Vladimir S; 10.3842/SIGMA.2010.044

2010-01-01T23:59:59.000Z

488

Validation of the Eriksen Method of the Exact Foldy-Wouthuysen Representation  

E-Print Network (OSTI)

The Eriksen method is proven to yield a correct and exact result when a sufficient condition of exact transformation to the Foldy-Wouthuysen (FW) representation is satisfied. Therefore, the Eriksen method is confirmed as valid. This makes it possible to establish the limits within which the approximate "step-by-step" methods are applicable. The latter is done by comparing the relativistic formulas for a Hamiltonian operator in the FW representation (obtained using those methods) and the known expression for the first terms of a series, which defines the expansion of this operator in powers of v/c as found by applying the Eriksen method.

Alexander J. Silenko

2013-03-22T23:59:59.000Z

489

A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications: Comparison with other Monte Carlo codes  

Science Conference Proceedings (OSTI)

Purpose: GATE is a Monte Carlo simulation toolkit based on the Geant4 package, widely used for many medical physics applications, including SPECT and PET image simulation and more recently CT image simulation and patient dosimetry. The purpose of the current study was to calculate dose point kernels (DPKs) using GATE, compare them against reference data, and finally produce a complete dataset of the total DPKs for the most commonly used radionuclides in nuclear medicine. Methods: Patient-specific absorbed dose calculations can be carried out using Monte Carlo simulations. The latest version of GATE extends its applications to Radiotherapy and Dosimetry. Comparison of the proposed method for the generation of DPKs was performed for (a) monoenergetic electron sources, with energies ranging from 10 keV to 10 MeV, (b) beta emitting isotopes, e.g., {sup 177}Lu, {sup 90}Y, and {sup 32}P, and (c) gamma emitting isotopes, e.g., {sup 111}In, {sup 131}I, {sup 125}I, and {sup 99m}Tc. Point isotropic sources were simulated at the center of a sphere phantom, and the absorbed dose was stored in concentric spherical shells around the source. Evaluation was performed with already published studies for different Monte Carlo codes namely MCNP, EGS, FLUKA, ETRAN, GEPTS, and PENELOPE. A complete dataset of total DPKs was generated for water (equivalent to soft tissue), bone, and lung. This dataset takes into account all the major components of radiation interactions for the selected isotopes, including the absorbed dose from emitted electrons, photons, and all secondary particles generated from the electromagnetic interactions. Results: GATE comparison provided reliable results in all cases (monoenergetic electrons, beta emitting isotopes, and photon emitting isotopes). The observed differences between GATE and other codes are less than 10% and comparable to the discrepancies observed among other packages. The produced DPKs are in very good agreement with the already published data, which allowed us to produce a unique DPKs dataset using GATE. The dataset contains the total DPKs for {sup 67}Ga, {sup 68}Ga, {sup 90}Y, {sup 99m}Tc, {sup 111}In, {sup 123}I, {sup 124}I, {sup 125}I, {sup 131}I, {sup 153}Sm, {sup 177}Lu {sup 186}Re, and {sup 188}Re generated in water, bone, and lung. Conclusions: In this study, the authors have checked GATE's reliability for absorbed dose calculation when transporting different kind of particles, which indicates its robustness for dosimetry applications. A novel dataset of DPKs is provided, which can be applied in patient-specific dosimetry using analytical point kernel convolution algorithms.

Papadimitroulas, Panagiotis; Loudos, George; Nikiforidis, George C.; Kagadis, George C. [Department of Medical Physics, School of Medicine, University of Patras, Rion, GR 265 04 (Greece) and Department of Medical Instruments Technology, Technological Educational institute of Athens, Ag. Spyridonos Street, Egaleo GR 122 10, Athens (Greece); Department of Medical Instruments Technology, Technological Educational institute of Athens, Ag. Spyridonos Street, Egaleo GR 122 10, Athens (Greece); Department of Medical Physics, School of Medicine, University of Patras, Rion, GR 265 04 (Greece)

2012-08-15T23:59:59.000Z

490

Evolutionary design of single-mode microstructured polymer optical fibres using an artificial embryogeny representation  

Science Conference Proceedings (OSTI)

Polymer microstructured optical fibres are a relatively recent development in optical fibre technology, supporting a wide variety of microstructure fibre geometries, when compared to the more commonly used silica. In order to meet the automated design ... Keywords: artificial embryogeny, microstructured optical fibre, optical design, polymer optical fibre, representation, single-mode fibre

Steven Manos; Maryanne C. J. Large; Leon Poladian

2007-07-01T23:59:59.000Z

491

Knowledge representation and case-based reasoning in a knowledge management system for ambient intelligence products  

Science Conference Proceedings (OSTI)

The paper presents the theoretical background and realization of a KM system for the technically advanced customer and product support in the Ambient Intelligence (AmI) domain. Current products include more and more elements of AmI. AmI area is still ... Keywords: ambient intelligence, case-based reasoning, customer support system, diagnostics system, knowledge management system, knowledge representation

Ljubisa Urosevic; Sandor Kopacsi; Dragan Stokic; Ana Rita Campos; Geza Bognar

2006-02-01T23:59:59.000Z

492

The evolution, challenges, and future of knowledge representation in product design systems  

Science Conference Proceedings (OSTI)

Product design is a highly involved, often ill-defined, complex and iterative process, and the needs and specifications of the required artifact get more refined only as the design process moves toward its goal. An effective computer support tool that ... Keywords: Collaborative engineering, Computational tools, Design rationale, Knowledge capture, Knowledge management, Knowledge representation, Multidisciplinary modeling, Ontology, Product design, Simulation, Systems engineering, Virtual reality

Senthil K. Chandrasegaran; Karthik Ramani; Ram D. Sriram; Imré HorváTh; Alain Bernard; Ramy F. Harik; Wei Gao

2013-02-01T23:59:59.000Z

493

Representation of context-dependant knowledge in ontologies: A model and an application  

Science Conference Proceedings (OSTI)

Most of current Information and Knowledge Based Systems manage impressive amounts of information, ranging from local databases to resources imported from the web. In addition to widely pointed-out integration and maintenance difficulties, other common ... Keywords: Context-aware systems, Knowledge representation, Medical informatics, Mobile systems, Ontologies

Fernando Bobillo; Miguel Delgado; Juan Gómez-Romero

2008-11-01T23:59:59.000Z

494

Psychiatric Consultation Record Retrieval Using Scenario-Based Representation and Multilevel Mixture Model  

Science Conference Proceedings (OSTI)

Psychiatric consultation record retrieval attempts to help people to efficiently and effectively locate the consultation records relevant to their depressive problems. Consultation records can also make people aware that they are not alone, because many ... Keywords: Information retrieval (IR), multilevel mixture model (MMM), natural language processing, scenario-based representation, text mining

Liang-Chih Yu; Chung-Hsien Wu; Fong-Lin Jang

2007-07-01T23:59:59.000Z

495

A multi-layer data representation of trajectories in social networks based on points of interest  

Science Conference Proceedings (OSTI)

Social networking, and sophisticated wireless and positioning systems are fast developing and ever increasing technologies. Mobile social applications have the ability to increase the social connectivity by capturing automatically users' daily routines ... Keywords: geographic information system, mobile social application, multi-layer representation

Reinaldo Bezerra Braga; Ali Tahir; Michela Bertolotto; Hervé Martin

2012-11-01T23:59:59.000Z

496

A contextual semantic representation of learning assets in online communities of practice  

Science Conference Proceedings (OSTI)

This paper presents an ontology-based framework for a contextual semantic representation of learning assets within a Community of Practice of E-learning CoPE. The community, made up of actors from the e-learning domain teachers, tutors, pedagogues, administrators?, ...

Lamia Berkani; Azeddine Chikh

2013-05-01T23:59:59.000Z

497

Non-Abelian Groups in Optimization of Decision Diagrams Representations of Discrete Functions  

Science Conference Proceedings (OSTI)

This paper is devoted to the reduction of decision diagram (DD) representations of discrete functions by using the non-Abelian groups and Fourier DDs on these groups. The number of levels in a DD can be reduced through decomposition of the domain group ... Keywords: Fourier transform, decision diagrams, discrete functions, non-Abelian groups

Radomir S. Stankovi?

2001-05-01T23:59:59.000Z

498

The evolution, challenges, and future of knowledge representation in product design systems  

Science Conference Proceedings (OSTI)

Product design is a highly involved, often ill-defined, complex and iterative process, and the needs and specifications of the required artifact get more refined only as the design process moves toward its goal. An effective computer support tool that ... Keywords: Collaborative engineering, Computational tools, Design rationale, Knowledge capture, Knowledge management, Knowledge representation, Multidisciplinary modeling, Ontology, Product design, Simulation, Systems engineering, Virtual reality

Senthil K. Chandrasegaran; Karthik Ramani; Ram D. Sriram; Imré HorváTh; Alain Bernard; Ramy F. Harik; Wei Gao

499

Statistically Based Reduced Representation of Amino Acid Side Chains Jan K. Rainey and M. Cynthia Goh*  

E-Print Network (OSTI)

Statistically Based Reduced Representation of Amino Acid Side Chains Jan K. Rainey and M. Cynthia.fccc.edu/research/labs/dunbrack/pisces) based on the 818 J. Chem. Inf. Comput. Sci., Vol. 44, No. 3, 2004 RAINEY AND GOH #12;methodology, 2004 RAINEY AND GOH #12;finding AT in that region of (, ) space for each of the µ ( 2.33 ellipses; and

Dellaire, Graham

500

Separable Representation of Phenomenological Optical Potentials of Woods-Saxon Type  

E-Print Network (OSTI)

Background: One important ingredient for many applications of nuclear physics to astrophysics, nuclear energy, and stockpile stewardship are cross sections for reactions of neutrons with rare isotopes. Since direct measurements are often not feasible, indirect methods, e.g. (d,p) reactions, should be used.} Those (d,p) reactions may be viewed as three-body reactions and described with Faddeev techniques. Purpose: Faddeev equations in momentum space have a long tradition of utilizing separable interactions in order to arrive at sets of coupled integral equations in one variable. While there exist several separable representations for the nucleon-nucleon interaction, the optical potential between a neutron (proton) and a nucleus is not readily available in separable form. The purpose of this paper is to introduce a separable representation for complex phenomenological optical potentials of Woods-Saxon type. Results: Starting from a global optical potential, a separable representation thereof is introduced based on the Ernst-Shakin-Thaler (EST) scheme. This scheme is generalized to non-hermitian potentials. Applications to n$+^{48}$Ca, n$+^{132}$Sn and n$+^{208}$Pb are investigated for energies from 0 to 50 MeV and the quality of the representation is examined. Conclusions: We find a good description of the on-shell t-matrix for all systems with rank up to 5. The required rank depends inversely on the angular momentum. The resulting separable interaction exhibits a different off-shell behavior compared to the original potential, reducing the high momentum contributions.

L. Hlophe; Ch. Elster; R. C. Johnson; N. J. Upadhyay; F. M. Nunes; G. Arbanas; V. Eremenko; J. E. Escher; I. J. Thompson

2013-10-30T23:59:59.000Z