Kernel Machine Based Feature Extraction Algorithms for Regression Problems
Szepesvari, Csaba
Kernel Machine Based Feature Extraction Algorithms for Regression Problems Csaba SzepesvÂ´ari 1 and AndrÂ´as Kocsor and KornÂ´el KovÂ´acs 2 Abstract. In this paper we consider two novel kernel machine based performance of the algorithm. The second algo- rithm combines kernel machines with average derivative
Uniform strong consistency of a frontier estimator using kernel regression on high order moments
Paris-Sud XI, UniversitÃ© de
Uniform strong consistency of a frontier estimator using kernel regression on high order moments order moments estimator of the frontier of a random pair in- troduced by Girard, S., Guillou, A., Stupfler, G. (2012). Frontier estimation with kernel regression on high order moments. It is shown
Frontier estimation via kernel regression on high power-transformed data
Paris-Sud XI, UniversitÃ© de
Frontier estimation via kernel regression on high power-transformed data SÂ´ephane Girard(1 Abstract We present a new method for estimating the frontier of a multidimensional sample. The estimator is illustrated on some finite sample situations. Keywords: kernel estimator, power-transform, frontier estimation
Quantile Regression Caren Marzban
Marzban, Caren
. European Wind Energy Conference. (QR Forests) 4 #12;Quantile Regression (Forests) Instead of minimizing n i.95 quantile - 0.05 quantile. 3 #12;History Google counts: meteorology regression 655,000 meteorology Kariniotakis (2007): Probabilistic short- term wind power forecasting based on kernel density estimators
Adaptive wiener image restoration kernel
Yuan, Ding (Henderson, NV)
2007-06-05T23:59:59.000Z
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.
Kernel Support Vector Regression with imprecise output
2008-01-27T23:59:59.000Z
Jan 27, 2008 ... of a determined car (predictor variables) and an interval score given by a ... First, we compute the predicted interval for the score of each car via ...
Reduced Harmonic Representation of Partitions
Michalis Psimopoulos
2011-03-08T23:59:59.000Z
In the present article the reduced integral representation of partitions in terms of harmonic products has been derived first by using hypergeometry and the new concept of fractional sum and secondly by studying the Fourier series of the kernel function appearing in the integral representation. Using the method of induction, a generalization of the theory has also been obtained.
Risk Bounds for Regularized Least-squares Algorithm with Operator-valued kernels
Vito, Ernesto De
2005-05-16T23:59:59.000Z
We show that recent results in [3] on risk bounds for regularized least-squares on reproducing kernel Hilbert spaces can be straightforwardly extended to the vector-valued regression setting. We first briefly introduce ...
Quantum Energy Regression using Scattering Transforms
Hirn, Matthew; Mallat, Stephane
2015-01-01T23:59:59.000Z
We present a novel approach to the regression of quantum mechanical energies based on a scattering transform of an intermediate electron density representation. A scattering transform is a deep convolution network computed with a cascade of multiscale wavelet transforms. It possesses appropriate invariant and stability properties for quantum energy regression. This new framework removes fundamental limitations of Coulomb matrix based energy regressions, and numerical experiments give state-of-the-art accuracy over planar molecules.
Multi-view kernel construction
Sa, Virginia R.; Gallagher, Patrick W.; Lewis, Joshua M.; Malave, Vicente L.
2010-01-01T23:59:59.000Z
5157-z Multi-view kernel construction Virginia R. de Sa ·multiple different graph construction algorithms. The Ng et
Functional inverse regression and reproducing kernel Hilbert space
Ren, Haobo
2006-10-30T23:59:59.000Z
equipped with norm bardbl ? bardbl and inner product angbracketleft?, ?angbracketright, to describe the dynamics of a sequence {Xt} of H-valued random variables such that Xt =rho(Xt-1) +epsilont, t element Z, where {epsilont} is an H-white noise, which..., the covariance function is crucial for many analyses, therefore the Karhunen?Lo?ve expansion (Ash and Gardner 1975) is one of the most useful tools in this approach. Karhunen?Lo?ve expansion: Let {X(t), t element [a, b]} be a L2 process (E(X(t)2 < infinity...
Representation discovery in non-parametric reinforcement learning
Zewdie, Dawit (Dawit Habtamu)
2014-01-01T23:59:59.000Z
Recent years have seen a surge of interest in non-parametric reinforcement learning. There are now practical non-parametric algorithms that use kernel regression to approximate value functions. The correctness guarantees ...
Bruemmer, David J. (Idaho Falls, ID)
2009-11-17T23:59:59.000Z
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.
Ksplice: Automatic Rebootless Kernel Updates
Kaashoek, M. Frans
2009-01-01T23:59:59.000Z
Ksplice allows system administrators to apply patches to their operating system kernels without rebooting. Unlike previous hot update systems, Ksplice operates at the object code layer, which allows Ksplice to transform ...
Least Squares Support Vector Machines for Kernel CCA in Nonlinear State-Space Identification
with multivariable input and output signals. It is of practical interest to be able to determine a state-space for linear time-invariant systems well-established state-space identification methods are available (Ljung to estimate the state-space representation. In this paper we use kernel canonical correlation analysis (KCCA
B. Bruegmann
1993-12-02T23:59:59.000Z
The loop representation plays an important role in canonical quantum gravity because loop variables allow a natural treatment of the constraints. In these lectures we give an elementary introduction to (i) the relevant history of loops in knot theory and gauge theory, (ii) the loop representation of Maxwell theory, and (iii) the loop representation of canonical quantum gravity. (Based on lectures given at the 117. Heraeus Seminar, Bad Honnef, Sept. 1993)
Analytic representations with Theta functions for systems on Z(d) and on S
P. Evangelides; C. Lei; A. Vourdas
2015-02-18T23:59:59.000Z
An analytic representation with Theta functions on a torus, for systems with variables in Z(d), is considered. Another analytic representation with Theta functions on a strip, for systems with positions in a circle S and momenta in Z, is also considered. The reproducing kernel formalism for these two systems is studied. Wigner and Weyl functions in this language, are also studied
Learning Kernels -Tutorial Part IV: Software Solutions
Mohri, Mehryar
Kernel.org http://www.openkernel.org Â· DOGMA (online alg: UFO) http://dogma.sourceforge.net/index.html Â· MKL
transformations: representations
Nguyen, Dat H.
Overview 1. Number transformations: from one base to another 2. Integer representations 3. Real rate, caches... #12; ECS 50, Discussion on 4/25 2 Integer Transformation: From Decimal to Binary Let, Discussion on 4/25 3 Integer Transformation: From Binary to Decimal Compute the weight of each digit position
A new sliced inverse regression method for multivariate response regression
Paris-Sud XI, UniversitÃ© de
inverse regression. 1 Introduction In analyzing large datasets, multivariate response regression analysis) which is a well-known method to estimate the EDR space. The link function can be estimatedA new sliced inverse regression method for multivariate response regression RaphaÂ¨el Coudret1, St
V-098: Linux Kernel Extended Verification Module Bug Lets Local...
Broader source: Energy.gov (indexed) [DOE]
reported in the Linux Kernel. REFERENCE LINKS: The Linux Kernel Archives Linux Kernel Red Hat Bugzilla - Bug 913266 SecurityTracker Alert ID: 1028196 CVE-2013-0313 IMPACT...
'ETALE WILD KERNELS OF EXCEPTIONAL NUMBER FIELDS KEVIN HUTCHINSON
'ETALE WILD KERNELS OF EXCEPTIONAL NUMBER FIELDS KEVIN HUTCHINSON Abstract.We clarify the relationship between higher 'etale wild kernels * *of a number- cyclotomic tower of the field. We also determine the relationship betwee* *n the 'etale wild kernel
T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates...
Broader source: Energy.gov (indexed) [DOE]
5: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection...
Kernelization and Enumeration: New Approaches to Solving Hard Problems
Meng, Jie
2011-08-08T23:59:59.000Z
their sizes. We present a 2k kernel for the cluster editing problem, which improves the previous best kernel of size 4k; We also present a linear kernel of size 7k 2d for the d-cluster editing problem, which is the first linear kernel for the problem...
Fractal Weyl law for Linux Kernel Architecture
L. Ermann; A. D. Chepelianskii; D. L. Shepelyansky
2010-09-16T23:59:59.000Z
We study the properties of spectrum and eigenstates of the Google matrix of a directed network formed by the procedure calls in the Linux Kernel. Our results obtained for various versions of the Linux Kernel show that the spectrum is characterized by the fractal Weyl law established recently for systems of quantum chaotic scattering and the Perron-Frobenius operators of dynamical maps. The fractal Weyl exponent is found to be $\
Clustering and Inconsistent Information: A Kernelization Approach
Cao, Yixin
2012-07-16T23:59:59.000Z
CLUSTERING AND INCONSISTENT INFORMATION: A KERNELIZATION APPROACH A Dissertation by YIXIN CAO Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR OF PHILOSOPHY... May 2012 Major Subject: Computer Science CLUSTERING AND INCONSISTENT INFORMATION: A KERNELIZATION APPROACH A Dissertation by YIXIN CAO Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements...
Crystal Structure Representations for Machine Learning Models of Formation Energies
Faber, Felix; von Lilienfeld, O Anatole; Armiento, Rickard
2015-01-01T23:59:59.000Z
We introduce and evaluate a set of feature vector representations of crystal structures for machine learning (ML) models of formation energies of solids. ML models of atomization energies of organic molecules have been successful using a Coulomb matrix representation of the molecule. We consider three ways to generalize such representations to periodic systems: (i) a matrix where each element is related to the Ewald sum of the electrostatic interaction between two different atoms in the unit cell repeated over the lattice; (ii) an extended Coulomb-like matrix that takes into account a number of neighboring unit cells; and (iii) an Ansatz that mimics the periodicity and the basic features of the elements in the Ewald sum matrix by using a sine function of the crystal coordinates of the atoms. The representations are compared for a Laplacian kernel with Manhattan norm, trained to reproduce formation energies using a data set of 3938 crystal structures obtained from the Materials Project. For training sets consi...
Kernels and learning curves for Gaussian process regression on random graphs
Sollich, Peter
and Outline Gaussian processes (GPs) have become a standard part of the machine learning toolbox [1]. Learning
A dynamic kernel modifier for linux
Minnich, R. G. (Ronald G.)
2002-09-03T23:59:59.000Z
Dynamic Kernel Modifier, or DKM, is a kernel module for Linux that allows user-mode programs to modify the execution of functions in the kernel without recompiling or modifying the kernel source in any way. Functions may be traced, either function entry only or function entry and exit; nullified; or replaced with some other function. For the tracing case, function execution results in the activation of a watchpoint. When the watchpoint is activated, the address of the function is logged in a FIFO buffer that is readable by external applications. The watchpoints are time-stamped with the resolution of the processor high resolution timers, which on most modem processors are accurate to a single processor tick. DKM is very similar to earlier systems such as the SunOS trace device or Linux TT. Unlike these two systems, and other similar systems, DKM requires no kernel modifications. DKM allows users to do initial probing of the kernel to look for performance problems, or even to resolve potential problems by turning functions off or replacing them. DKM watchpoints are not without cost: it takes about 200 nanoseconds to make a log entry on an 800 Mhz Pentium-Ill. The overhead numbers are actually competitive with other hardware-based trace systems, although it has less 'Los Alamos National Laboratory is operated by the University of California for the National Nuclear Security Administration of the United States Department of Energy under contract W-7405-ENG-36. accuracy than an In-Circuit Emulator such as the American Arium. Once the user has zeroed in on a problem, other mechanisms with a higher degree of accuracy can be used.
Accuracy of Reduced and Extended Thin-Wire Kernels
Burke, G J
2008-11-24T23:59:59.000Z
Some results are presented comparing the accuracy of the reduced thin-wire kernel and an extended kernel with exact integration of the 1/R term of the Green's function and results are shown for simple wire structures.
Contracting the Wigner-Kernel of a Spin to the Wigner-Kernel of a Particle
Jean-Pierre Amiet; Stefan Weigert
2000-04-13T23:59:59.000Z
A general relation between the Moyal formalisms for a spin and a particle is established. Once the formalism has been set up for a spin, the phase-space description of a particle is obtained from the `contraction' of the group of rotations to the group of translations. This is shown by explicitly contracting a spin Wigner-kernel to the Wigner kernel of a particle. In fact, only one out of 2^{2s} different possible kernels for a spin shows this behaviour.
ETALE WILD KERNELS OF EXCEPTIONAL NUMBER FIELDS KEVIN HUTCHINSON
#19; ETALE WILD KERNELS OF EXCEPTIONAL NUMBER FIELDS KEVIN HUTCHINSON Abstract. We clarify the relationship between higher #19;etale wild kernels of a number #12;eld at the prime 2 and the Galois between the #19;etale wild kernel and the group of in#12;nitely divisible elements of H 2 (F; Z 2 (j + 1
ETALE WILD KERNELS OF EXCEPTIONAL NUMBER FIELDS KEVIN HUTCHINSON
Â´ETALE WILD KERNELS OF EXCEPTIONAL NUMBER FIELDS KEVIN HUTCHINSON Abstract. We clarify the relationship between higher Â´etale wild kernels of a number field at the prime 2 and the Galois between the Â´etale wild kernel and the group of infinitely divisible elements of H2 (F, Z2(j + 1)){2}. 1
Transductive Reliability Estimation for Kernel Based Classifiers
Likas, Aristidis
Transductive Reliability Estimation for Kernel Based Classifiers Dimitris Tzikas1 , Matjaz Kukar2@cs.uoi.gr Abstract. Estimating the reliability of individual classifications is very important in several applications such as medical diagnosis. Recently, the transductive approach to reliability estimation has been
E. M. Drobyshevski
2002-05-21T23:59:59.000Z
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.
Measurements of the Thermal Neutron Scattering Kernel
Danon, Yaron
Measurements of the Thermal Neutron Scattering Kernel Li (Emily) Liu, Yaron Danon, Bjorn Becker and discussions Problems and Future study Questions #12;3 M. Mattes and J. Keinert, Thermal Neutron Scattering experimental data used was from 1973-1974! M. Mattes and J. Keinert, Thermal Neutron Scattering Data
Kernel methods for phenotyping complex plant architecture
Paris-Sud XI, UniversitÃ© de
Kernel methods for phenotyping complex plant architecture Koji KAWAMURA1,2 ,Laurence HIBRANDÂ´e, FRANCE , 2. Department of Environmental Engineering, Osaka Institute of Technology, 5-16-1 Ohmiya, Asahi architecture is a crit- ical step for understanding the genetic determinism of plant architecture. Previous
LOG HAZARD REGRESSION Huiying Sun
Heckman, Nancy E.
LOG HAZARD REGRESSION by Huiying Sun Ph.D, Harbin Institute of Technology, Harbin, CHINA, 1991 .................................................................... .................................................................... .................................................................... .................................................................... THE UNIVERSITY OF BRITISH COLUMBIA September, 1999 c flHuiying Sun, 1999 #12; Abstract We propose using
Regression analysis Dependent variable (WMMY)
Langseth, Helge
;64 65 #12;66 Multiple Linear Regression 67 Example Â Acid rain in Norwegian lakes Data from a study of the influence of acid rain on Norwegian lakes, made in 1986. Totally 1005 lakes were studied. In this example
Is the gasoline tax regressive?
Poterba, James M.
1990-01-01T23:59:59.000Z
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 ...
Political representation Trench warfare
Gelman, Andrew
Political representation Trench warfare Rational voting Candidate positioning Recap Mathematical vs. statistical models in social science Andrew Gelman Department of Statistics and Department of Political science #12;Political representation Trench warfare Rational voting Candidate positioning Recap Themes
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and accurate representation of this product. Ron Brightwell Joint entry Operating Systems Research 1527 16th NW 5 Washington, DC 20036 USA Trammell...
Holomorphic geometric models for representations of $C^*$-algebras
Beltita, Daniel
2007-01-01T23:59:59.000Z
Representations of $C^*$-algebras are realized on section spaces of holomorphic homogeneous vector bundles. The corresponding section spaces are investigated by means of a new notion of reproducing kernel, suitable for dealing with involutive diffeomorphisms defined on the base spaces of the bundles. Applications of this technique to dilation theory of completely positive maps are explored and the critical role of complexified homogeneous spaces in connection with the Stinespring dilations is pointed out. The general results are further illustrated by a discussion of several specific topics, including similarity orbits of representations of amenable Banach algebras, similarity orbits of conditional expectations, geometric models of representations of Cuntz algebras, the relationship to endomorphisms of ${\\mathcal B}({\\mathcal H})$, and non-commutative stochastic analysis.
Diagnostics for multiple regression problems
Daly, J.C.
1982-03-01T23:59:59.000Z
In the last 10 to 15 years there has been much work done in trying to improve linear regression results. Individuals have analyzed the susceptibility of least-squares results to values far removed from the center of the independent variable observations. They have studied the problem of heavy-tailed residuals, and they have studied the problem of collinearity. From these studies have come ridge regression techniques, robust regression techniques, regression on principal components, etc. However, many practitioners view these methods with suspicion (and ignorance), and prefer to continue using the usual least-squares procedures to fit their models, even though their results might not be answering the question they think. In reaction to this, statisticians are spending more time analyzing how the individual observations affect the least squares results. In the last few years approximately 10 papers and one text have appeared that address the problem of how to study the influence of the individual observations. This report is a study of the recent work done in linear regression diagnostics. It is concerned with analyzing the effect of one case at a time, since the methods to analyze this situation are relatively straight-forward and are not prohibitive computationally.
Regression analysis with missing data
Michelli, Frank Anthony
1968-01-01T23:59:59.000Z
: Statistios REGRESSION ANALYSIS WITH MISS1NG DATA A Thesis FRANK ANTHONY MICHELLI Approved as to style and content by: hairman of o ttee Member Head of Department Member Member Zanuary 196B ACZNOWLED ONE NT S I can only begin to express my sincere...
T-653: Linux Kernel sigqueueinfo() Process Lets Local Users Send...
Broader source: Energy.gov (indexed) [DOE]
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:...
U-086:Linux Kernel "/proc//mem" Privilege Escalation Vulnerability
Broader source: Energy.gov [DOE]
A vulnerability has been discovered in the Linux Kernel, which can be exploited by malicious, local users to gain escalated privileges.
U-175: Linux Kernel KVM Memory Slot Management Flaw
Broader source: Energy.gov [DOE]
A vulnerability was reported in the Linux Kernel. A local user on the guest operating system can cause denial of service conditions on the host operating system.
Student Representation System Policy Student Representation System Policy
Birmingham, University of
Policy Student Representation System Policy 2013-14 Student Representation System Policy UNIVERSITY OF BIRMINGHAM STUDENT REPRESENTATION SYSTEM POLICY #12;Policy Student Representation System Policy 2013-14 Student Representation System Policy Index of points 1. Introduction 2. Purpose 3. Core Principles 4
Nonlinear Multiple Kernel Learning via Mixture of Probabilistic Kernel Discriminant Analysis
Liu, Huan
.ye@asu.edu Computer Science & Engineering Arizona State University Shipeng Yu shipeng.yu@siemens.com CAD and Knowledge Solutions Siemens Medical Solutions USA, Inc. Huan Liu huan.liu@asu.edu Computer Science & Engineering, and in the transformed space, instances can be better separated. A kernel can be constructed in the transformed space
Intel's Math Kernel Library (MKL) at NERSC
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for and NovelFEG-SEM with0, First Solar,VTune VTuneKernel
Customized Kernel Execution on Reconfigurable Hardware for Embedded Applications
Ziavras, Sotirios G.
is required. This can be facilitated through dynamic adaptation of the silicon resources in reconfigurable reconfiguration overheads can be estimated. Therefore, if the scheduling of time- consuming kernels considers also kernels. Experiments involving EEMBC (EDN Embedded Microprocessor Benchmarking Consortium) and Mi
Hermeneutics, Information and Representation
Chalmers, Matthew
Hermeneutics, Information and Representation Matthew Chalmers Computing Science, Glasgow University, United Kingdom Abstract By drawing from semiology, epistemology and philosophical hermeneutics, we for computersupported collaborative work (CSCW). We point out similarities between discourse in hermeneutics
Yang, Junfeng
) attacks redirect corrupted kernel pointers to data residing in user space. In response, sev- eral kernel code in privileged mode, or tamper-with critical kernel data structures, by exploiting a kernel, and are applicable in x86/x86-64, ARM, and other popular architectures. In response to ret2usr attacks, several
Jatropha Curcas Kernel Meals Obtained From Four Different Agro-Climatic Areas of Ghana:
S. K. Chikpah; B. Demuyakor
) concentration of Jatropha curcas kernel meals (KM) obtained from four different agro-climatic conditions. The
Classification using Intersection Kernel Support Vector Machines is Efficient Subhransu Maji
O'Brien, James F.
Classification using Intersection Kernel Support Vector Machines is Efficient Subhransu Maji EECS classification using kernelized SVMs re- quires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can do this much more efficiently. In particular we show
HIGHER WILD KERNELS AND DIVISIBILITY IN THE K-THEORY OF NUMBER FIELDS
Weibel, Charles
HIGHER WILD KERNELS AND DIVISIBILITY IN THE K, 2004 Abstract. The higher wild kernels are finite subgroups of the even K-group* *s of a number field F, generalizing Tate's wild kernel for K2. Each wild kernel contains* * the subgroup
HIGHER WILD KERNELS AND DIVISIBILITY IN THE K-THEORY OF NUMBER FIELDS
HIGHER WILD KERNELS AND DIVISIBILITY IN THE K-THEORY OF NUMBER FIELDS C. Weibel July 15, 2004 Abstract. The higher wild kernels are #12;nite subgroups of the even K-groups of a number #12;eld F , generalizing Tate's wild kernel for K2 . Each wild kernel contains the subgroup of divisible elements
Approximation Methods for Gaussian Process Regression
Williams, Chris
, Microsoft Research Ltd. 7 J J Thomson Avenue, CB3 0FB Cambridge, UK joaquinc@microsoft.com Carl Edward by Rasmussen and Williams (2006). Gaussian processes allow a Bayesian use of kernels for learning proposed by Qui~nonero-Candela and Rasmussen (2005), based on inducing inputs and conditionally independent
Green's kernels for transmission problems in bodies with small inclusions
Vladimir Maz'ya; Alexander Movchan; Michael Nieves
2010-05-24T23:59:59.000Z
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.
Many Molecular Properties from One Kernel in Chemical Space
Ramakrishnan, Raghunathan
2015-01-01T23:59:59.000Z
We introduce property-independent kernels for machine learning modeling of arbitrarily many molecular properties. The kernels encode molecular structures for training sets of varying size, as well as similarity measures sufficiently diffuse in chemical space to sample over all training molecules. Corresponding molecular reference properties provided, they enable the instantaneous generation of ML models which can systematically be improved through the addition of more data. This idea is exemplified for single kernel based modeling of internal energy, enthalpy, free energy, heat capacity, polarizability, electronic spread, zero-point vibrational energy, energies of frontier orbitals, HOMO-LUMO gap, and the highest fundamental vibrational wavenumber. Models of these properties are trained and tested using 112 kilo organic molecules of similar size. Resulting models are discussed as well as the kernels' use for generating and using other property models.
Hereditary kernel identification method of nonlinear polymeric viscoelastic materials
Olodo Emmanuel; Villevo Adanhounme; Mahouton Norbert Hounkonnou
2012-12-26T23:59:59.000Z
This paper deals with a polymeric matrix composite material. The matrix behaviour is described by the modified Rabotnov's nonlinear viscoelastic model assuming the material is nonlinear viscoelastic. The parameters of creep and stress-relaxation kernels of the model are determined. From the experimental data related to kernels approximated by spline functions and by means of the method of weighted residual, the formulas for the determination of viscoelastic parameters are derived.
Fitting Reduced Rank Regression Models by Alternating Maximum Likelihoods
Jan de Leeuw
2011-01-01T23:59:59.000Z
Fitting longitudinal reduced rank regression models byA J . (1965). Reduced-rank regression for the multivariateFITTING LONGITUDINAL REDUCED RANK REGRESSION MODELS BY
Umbra's system representation.
McDonald, Michael James
2005-07-01T23:59:59.000Z
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.
PART IV ? REPRESENTATIONS AND INSTRUCTIONS
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
... 1 K-2 FAR 52.209-2 PROHIBITION ON CONTRACTING WITH INVERTED DOMESTIC CORPORATIONS--REPRESENTATION (JUL 2009)...
PART IV ? REPRESENTATIONS AND INSTRUCTIONS
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
... 1 K-2 FAR 52.209-2 PROHIBITION ON CONTRACTING WITH INVERTED DOMESTIC CORPORATIONS--REPRESENTATION (MAY 2011)...
Software Testing and Maintenance 1 Regression Testing
Lei, Jeff Yu
1 Software Testing and Maintenance 1 Regression Testing Introduction Test Selection Test Minimization Test Prioritization Summary Software Testing and Maintenance 2 What is it? Regression testing refers to the portion of the test cycle in which a program is tested to ensure that changes do not affect
Regression of Environmental Noise in LIGO Data
Tiwari, Vaibhav; Frolov, Valery; Klimenko, Sergey; Mitselmakher, Guenakh; Necula, Valentin; Prodi, Giovanni; Re, Virginia; Salemi, Francesco; Vedovato, Gabriele; Yakushin, Igor
2015-01-01T23:59:59.000Z
We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the gravitational-wave channel from the PEM measurements. One of the most promising regression method is based on the construction of Wiener-Kolmogorov filters. Using this method, the seismic noise cancellation from the LIGO GW channel has already been performed. In the presented approach the Wiener-Kolmogorov method has been extended, incorporating banks of Wiener filters in the time-frequency domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also we presents the first results on regression of the bi-coherent noise in the LIGO data.
Regression of Environmental Noise in LIGO Data
Vaibhav Tiwari; Marco Drago; Valery Frolov; Sergey Klimenko; Guenakh Mitselmakher; Valentin Necula; Giovanni Prodi; Virginia Re; Francesco Salemi; Gabriele Vedovato; Igor Yakushin
2015-03-25T23:59:59.000Z
We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the gravitational-wave channel from the PEM measurements. One of the most promising regression method is based on the construction of Wiener-Kolmogorov filters. Using this method, the seismic noise cancellation from the LIGO GW channel has already been performed. In the presented approach the Wiener-Kolmogorov method has been extended, incorporating banks of Wiener filters in the time-frequency domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also we presents the first results on regression of the bi-coherent noise in the LIGO data.
Small Representation Principle
H. B. F. Nielsen
2014-03-06T23:59:59.000Z
In a previous article Don Bennett and I looked for, found and proposed a game in which the Standard Model Gauge Group $S(U(2) \\times U(3))$ gets singled out as the "winner". This "game" means that the by Nature chosen gauge group should be just that one, which has the maximal value for a quantity, which is a modification of the ratio of the quadratic Casimir for the adjoint representation and that for a "smallest" faithful representation. In a recent article I proposed to extend this "game" to construct a corresponding game between different potential dimensions for space-time. The idea is to formulate, how the same competition as the one between the potential gauge groups would run out, if restricted to the potential Lorentz or Poincare groups achievable for different dimensions of space-time $d$. The remarkable point is, that it is the experimental space-time dimension 4, which wins. It follows that the whole Standard Model is specified by requiring SMALLEST REPRESENTATIONS! Speculatively we even argue that our principle found suggests the group of gauge transformations and some manifold(suggestive of say general relativity).
The role of zinc in the treatment of palm kernel cake toxicity in sheep
Paris-Sud XI, UniversitÃ© de
Malaysia, 43400 UPM Serdang, Selangor, Malaysia Palm kernel cake (PKC), a product of the oil palm industryThe role of zinc in the treatment of palm kernel cake toxicity in sheep M Hair-Bejo, AR Alimon, J
Graded multiplicities in the Macdonald kernel, Part I John R. Stembridge
Stembridge, John
Graded multiplicities in the Macdonald kernel, Part I John R. Stembridge Department of Mathematics notation B. Motivation C. Outline 2. Degenerate Macdonald polynomials A. The decomposition matrix B G has a Macdonald kernel associated to it. This kernel is a bigraded virtual G-character depending
Systematics of the Relationship between Vacuum Energy Calculations and Heat Kernel Coe#cients
Systematics of the Relationship between Vacuum Energy Calculations and Heat Kernel Coe#cients S. A Casimir energy is a nonlocal e#ect; its magnitude cannot be deduced from heat kernel expanÂ sions, even in the regularized (but not yet renormalized) total vacuum energy are associated with the heat kernel coe
Application of Kernel Principal Component Analysis for Single Lead ECG-Derived Respiration
1 Application of Kernel Principal Component Analysis for Single Lead ECG-Derived Respiration Devy signal from ECGs. In this study, an improved ECG-derived respiration (EDR) algorithm based on kernel PCA ECGs. Index Terms--ECG-derived respiration (EDR), kernel princi- pal component analysis (kPCA). I
Kernel spectral clustering for predicting maintenance of industrial machines
to deal with sensory faults have been used [1],[2],[3]: corrective maintenance, preventive maintenance the machine fails, it is expensive and safety and environment issues arise. Preventive maintenance is basedKernel spectral clustering for predicting maintenance of industrial machines Rocco Langone1, Carlos
Rademacher Chaos Complexities for Learning the Kernel Yiming Ying1
Ying, Yiming
1 Rademacher Chaos Complexities for Learning the Kernel Problem Yiming Ying1 mathying) and information-thereotic data integration (Ying et al., 2009) etc. Such MKL formulations have been successfully al., 2004; Damoulas and Girolami, 2008; Ying et al., 2009). The above mentioned MKL models usually
Improving the Energy Efficiency of the MANTIS Kernel
Sreenan, Cormac J.
Improving the Energy Efficiency of the MANTIS Kernel Cormac Duffy1 , Utz Roedig2 , John Herbert1. The event-based TinyOS is more energy efficient than the multi-threaded MANTIS system. However, MANTIS, timeliness can be traded for energy efficiency by choosing the appropriate operating system. In this paper we
PERI - Auto-tuning Memory Intensive Kernels for Multicore
Bailey, David H; Williams, Samuel; Datta, Kaushik; Carter, Jonathan; Oliker, Leonid; Shalf, John; Yelick, Katherine; Bailey, David H
2008-06-24T23:59:59.000Z
We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of search-based performance optimizations, popular in linear algebra and FFT libraries, to application-specific computational kernels. Our work applies this strategy to Sparse Matrix Vector Multiplication (SpMV), the explicit heat equation PDE on a regular grid (Stencil), and a lattice Boltzmann application (LBMHD). We explore one of the broadest sets of multicore architectures in the HPC literature, including the Intel Xeon Clovertown, AMD Opteron Barcelona, Sun Victoria Falls, and the Sony-Toshiba-IBM (STI) Cell. Rather than hand-tuning each kernel for each system, we develop a code generator for each kernel that allows us to identify a highly optimized version for each platform, while amortizing the human programming effort. Results show that our auto-tuned kernel applications often achieve a better than 4X improvement compared with the original code. Additionally, we analyze a Roofline performance model for each platform to reveal hardware bottlenecks and software challenges for future multicore systems and applications.
Analysis with Kernel Density Estimation University of Michigan / HERMES Collaboration
Analysis with Kernel Density Estimation S. Gliske University of Michigan / HERMES Collaboration Transverse Parton Structure of the Hadron Yerevan, Armenia 25 June, 2009 Gliske (HERMES / Michigan) Analysis/Smearing Effects SIDIS cos(n) Conclusion Gliske (HERMES / Michigan) Analysis with KDEs TPSH `09 2 / 24 #12
Statistical Model Criticism using Kernel Two Sample Tests
Ghahramani, Zoubin
Statistical Model Criticism using Kernel Two Sample Tests James Robert Lloyd Department Abstract We propose an exploratory approach to statistical model criticism using maximum mean discrepancy a statistic by which to measure discrepancies between data and a statistical model. MMD two sample tests
On the kernelization of ranking r-CSP in tournaments
Perez, Anthony
2012-01-01T23:59:59.000Z
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...
Measurement Denoising Using Kernel Adaptive Filters in the Smart Grid
Qiu, Robert Caiming
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
Optical transformation from chirplet to fractional Fourier transformation kernel
Hong-yi Fan; Li-yun Hu
2009-02-11T23:59:59.000Z
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.
Developmental Regression in Children with Down Syndrome
Bernad Ripoll, Susana
2011-05-18T23:59:59.000Z
This study presents in detail the data on a group of 20 participants, female and male, from 2 to 12 years old with Down syndrome (DS) who experienced developmental regression. This study took place at the Down syndrome clinic at Kennedy Krieger...
Censored regression modeling in agricultural economics
Khee-Guan Tan, Andrew
1991-01-01T23:59:59.000Z
. 30 . 33 III. TESTING FOR MISSPECIFICATION IN A CENSORED DEMAND MODEL . . 36 Methodology. . Model Specification & Data Sources. Estimation Results. Concluding Comments . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 . . 41 42 IV.... CONCLUSIONS AND FUTURE RESEARCH. . . . ? Summary Limitation. . . Topics for Future Research. . . . 47 . . . 47 REFERENCES. . . . . . 49 APPENDIX: PROGRAM OF SPECIFICATION TEST FOR A CENSORED REGRESSION MODEL...
Graph dynamics : learning and representation
Ribeiro, Andre Figueiredo
2006-01-01T23:59:59.000Z
Graphs are often used in artificial intelligence as means for symbolic knowledge representation. A graph is nothing more than a collection of symbols connected to each other in some fashion. For example, in computer vision ...
Kernel-Correlated Levy Field Driven Forward Rate and Application to Derivative Pricing
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
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.
Two Stage Smooth Semi Parametric Quantile Regression
J. M. Krief
2009-01-01T23:59:59.000Z
We propose a root n consistent estimator for ?0 when the qth conditional quantile of Y given X=x and Z=z takes the semi linear form g(x) + z??0 where g(.) is an unknown real valued function,?0 a finite dimensional parameter and (X,Z)a couple of explanatory variables.Importantly, our estimator attains,under homoscedasticity,the semi parametric efficiency bound.This estimation is conducted in two steps. First, a Robinson’s like demeaning of the original model is employed which provides a new quantile regression whose nuisance terms are estimated via a non parametric procedure.In the second stage, the quantile regression is conducted by smoothing the check function.We show that the previous estimator belongs to a class of estimators we propose to name ”two stage smooth semi parametric quantile”
T-653: Linux Kernel sigqueueinfo() Process Lets Local Users Send Spoofed Signals
Broader source: Energy.gov [DOE]
A vulnerability was reported in the Linux Kernel. A local user can send spoofed signals to other processes in certain cases.
Srinivasan, Ashok
Reuse and Refactoring of GPU Kernels to Design Complex Applications Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan Infosys Labs, Infosys Ltd. Bangalore 560100, India Email: {santonu sarkar01,sayantan
Operation of Faddeev-Kernel in Configuration Space
S. Ishikawa
2007-01-16T23:59:59.000Z
We present a practical method to solve Faddeev three-body equations at energies above three-body breakup threshold as integral equations in coordinate space. This is an extension of previously used method for bound states and scattering states below three-body breakup threshold energy. We show that breakup components in three-body reactions produce long-range effects on Faddeev integral kernels in coordinate space, and propose numerical procedures to treat these effects. Using these techniques, we solve Faddeev equations for neutron-deuteron scattering to compare with benchmark solutions.
Distributed Multivariate Regression Using Wavelet-based Collective Data Mining.
Kargupta, Hilol
an approach to the analysis of distributed, heterogeneous databases with distinct feature spacesDistributed Multivariate Regression Using Wavelet-based Collective Data Mining. Daryl E a method for distributed multivariate regression using wavelet- based Collective Data Mining (CDM
A Regression Test Selection Technique for Graphical User Interfaces
Chesser, Carl
2012-08-31T23:59:59.000Z
Regression testing is a quality control measure to ensure that the newly modified part of the software still complies with its specified requirements and that the unmodified part has not been affected by the maintenance activity. Regression testing...
Testing regression models with residuals as data by Xia Hua.
Hua, Xia, Ph. D. Massachusetts Institute of Technology
2010-01-01T23:59:59.000Z
Abstract In polynomial regression ... . In this thesis, I developed a residual based test, the turning point test for residuals, which tests the hypothesis that the kth order polynomial regression holds with ... while the ...
Efficient inference in general semiparametric regression models
Maity, Arnab
2009-05-15T23:59:59.000Z
Conclusions ................. 33 II.5.3.1. Can Semiparametric Methods Improve Upon the Sample Mean? .......... 34 II.5.3.2. How Critical Are Our Assumptions on Z?35 III TESTING IN SEMIPARAMETRIC MODELS WITH IN- TERACTION ............................ 38 III.1... ........................................ 134 x LIST OF TABLES TABLE Page 1. Significance levels (p-values) of the test for genetic e?ects in a regression model in which Z is years since stopped smoking. ..... 68 2. Mean, empirical standard errors (emp s.e.), root mean squared error (RMSE...
Jones, Roger W.; Reinot, Tonu; Frei, Ursula K.; Tseng, Yichia; Lübberstedt, Thomas; McClelland, John F.
2012-04-01T23:59:59.000Z
Samples of haploid and hybrid seed from three different maize donor genotypes after maternal haploid induction were used to test the capability of automated near-infrared transmission spectroscopy to individually differentiate haploid from hybrid seeds. Using a two-step chemometric analysis in which the seeds were first classified according to genotype and then the haploid or hybrid status was determined proved to be the most successful approach. This approach allowed 11 of 13 haploid and 25 of 25 hybrid kernels to be correctly identified from a mixture that included seeds of all the genotypes.
Handling Ambiguity via Input-Output Kernel Learning Xinxing Xu Ivor W. Tsang Dong Xu
Tsang Wai Hung "Ivor"
of Computer Engineering, Nanyang Technological University, Singapore xuxi0006@ntu.edu.sg IvorTsang@ntu.edu.sg dongxu@ntu.edu.sg Abstract--Data ambiguities exist in many data mining and machine learning applications the effectiveness of our proposed IOKL framework. Keywords-Group Multiple Kernel Learning; Input-Output Kernel
Graph Kernels Based on Relevant Patterns and Cycle Information for Chemoinformatics
Boyer, Edmond
by combining relevant cycles and newly discovered cycles. HorvÂ´ath showed that a low number of iterationsGraph Kernels Based on Relevant Patterns and Cycle Information for Chemoinformatics Benoit Ga of view, graph kernels provide a nice framework for combining these two fields. We present in this paper
HW Componentizing Kernel: A New Approach to address the Mega Complexity of Future Automotive CPS
Rajkumar, Ragunathan "Raj"
HW Componentizing Kernel: A New Approach to address the Mega Complexity of Future Automotive CPS of CPS (Cyber Physical System). However, current software development process in the automotive industry automotive software devel- opment process in the perspective of CPS and proposes a new kernel-based approach
STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS
Fulman, Jason
STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS JASON FULMAN Abstract. Combining Stein's method with heat kernel techniques, we show that the trace of the jth power There is a large literature on the traces of powers of random elements of compact Lie groups. One of the earliest
STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS
Fulman, Jason
STEIN'S METHOD, HEAT KERNEL, AND TRACES OF POWERS OF ELEMENTS OF COMPACT LIE GROUPS JASON FULMAN Abstract. Combining Stein's method with heat kernel techniques, we show that the trace of the jth power on the traces of powers of random elements of compact Lie groups. One of the earliest results is due to Diaconis
Villarreal Lozoya, Jose Emilio
2009-05-15T23:59:59.000Z
. 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...
On ascertaining inductively the dimension of the joint kernel of certain commuting linear operators
Shen, Zuowei
On ascertaining inductively the dimension of the joint kernel of certain commuting linear operators), and a collection f`xgx2X of commuting linear maps on some linear space, the family of linear operators whose joint DMS-9000053, DMS-9102857. i #12;proposed running head: dimension of joint kernels Proofs should
TORCH Computational Reference Kernels - A Testbed for Computer Science Research
Kaiser, Alex; Williams, Samuel Webb; Madduri, Kamesh; Ibrahim, Khaled; Bailey, David H.; Demmel, James W.; Strohmaier, Erich
2010-12-02T23:59:59.000Z
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.
Rank Estimation in ReducedRank Regression Efstathia Bura
Bura, Efstathia
Rank Estimation in ReducedÂRank Regression Efstathia Bura Department of Statistics, The George, University of Minnesota, St. Paul, MN 55108 EÂmail: dennis@stat.umn.edu Reduced rank regression assumes that the coe#cient matrix in a multiÂ variate regression model is not of full rank. The unknown rank
Time-warped Geodesic Regression , Nikhil Singh1
Time-warped Geodesic Regression Yi Hong1 , Nikhil Singh1 , Roland Kwitt3 , and Marc Niethammer1,2 1 geodesic regression with parametric time-warps. This allows, for example, to capture saturation effects. We demonstrate that by augmenting geodesic regression with parametric time-warp functions, we can
Chlipala, Adam
]. Interpreters are also used outside of kernels, such as in Bitcoin's transaction scripting [2]. As an example
SimpleNPKL : Simple Non-Parametric Kernel Learning Jinfeng Zhuang ZHUA0016@NTU.EDU.SG
Tsang Wai Hung "Ivor"
SimpleNPKL : Simple Non-Parametric Kernel Learning Jinfeng Zhuang ZHUA0016@NTU.EDU.SG Ivor W. Tsang IVORTSANG@NTU.EDU.SG Steven C.H. Hoi CHHOI@NTU.EDU.SG School of Computer Engineering, Nanyang Technological-of-the-art perfor- mance. The choice of an effective kernel plays a crucial role in many kernel based machine
Figure 1. Block diagram of the turbo decoder. A Memory-Reduced Log-MAP Kernel for Turbo Decoder
Hung, Shih-Hao
Figure 1. Block diagram of the turbo decoder. A Memory-Reduced Log-MAP Kernel for Turbo Decoder--Generally, the Log-MAP kernel of the turbo decoding consume large memories in hardware implement- tation of the turbo decoder is implemented to verify the proposed memory-reduced Log- MAP kernel in 3.04Ã?3.04mm2 core
Representation of noncommutative phase space
Kang Li; Jianhua Wang; Chiyi Chen
2005-08-16T23:59:59.000Z
The representations of the algebra of coordinates and momenta of noncommutative phase space are given. We study, as an example, the harmonic oscillator in noncommutative space of any dimension. Finally the map of Sch$\\ddot{o}$dinger equation from noncommutative space to commutative space is obtained.
Representation of Limited Rights Data and Restricted Computer...
Office of Energy Efficiency and Renewable Energy (EERE) 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...
FABRICATION OF URANIUM OXYCARBIDE KERNELS AND COMPACTS FOR HTR FUEL
Dr. Jeffrey A. Phillips; Eric L. Shaber; Scott G. Nagley
2012-10-01T23:59:59.000Z
As part of the program to demonstrate tristructural isotropic (TRISO)-coated fuel for the Next Generation Nuclear Plant (NGNP), Advanced Gas Reactor (AGR) fuel is being irradiation tested in the Advanced Test Reactor (ATR) at Idaho National Laboratory (INL). This testing has led to improved kernel fabrication techniques, the formation of TRISO fuel particles, and upgrades to the overcoating, compaction, and heat treatment processes. Combined, these improvements provide a fuel manufacturing process that meets the stringent requirements associated with testing in the AGR experimentation program. Researchers at Idaho National Laboratory (INL) are working in conjunction with a team from Babcock and Wilcox (B&W) and Oak Ridge National Laboratory (ORNL) to (a) improve the quality of uranium oxycarbide (UCO) fuel kernels, (b) deposit TRISO layers to produce a fuel that meets or exceeds the standard developed by German researches in the 1980s, and (c) develop a process to overcoat TRISO particles with the same matrix material, but applies it with water using equipment previously and successfully employed in the pharmaceutical industry. A primary goal of this work is to simplify the process, making it more robust and repeatable while relying less on operator technique than prior overcoating efforts. A secondary goal is to improve first-pass yields to greater than 95% through the use of established technology and equipment. In the first test, called “AGR-1,” graphite compacts containing approximately 300,000 coated particles were irradiated from December 2006 to November 2009. The AGR-1 fuel was designed to closely replicate many of the properties of German TRISO-coated particles, thought to be important for good fuel performance. No release of gaseous fission product, indicative of particle coating failure, was detected in the nearly 3-year irradiation to a peak burn up of 19.6% at a time-average temperature of 1038–1121°C. Before fabricating AGR-2 fuel, each fabrication process was improved and changed. Changes to the kernel fabrication process included replacing the carbon black powder feed with a surface-modified carbon slurry and shortening the sintering schedule. AGR-2 TRISO particles were produced in a 6-inch diameter coater using a charge size about 21-times that of the 2-inch diameter coater used to coat AGR-1 particles. The compacting process was changed to increase matrix density and throughput by increasing the temperature and pressure of pressing and using a different type of press. AGR-2 fuel began irradiation in the ATR in late spring 2010.
Using Enhanced Spherical Images for Object Representation
Smith, David A.
1979-05-01T23:59:59.000Z
The processes involved in vision, manipulation, and spatial reasoning depend greatly on the particular representation of three-dimensional objects used. A novel representation, based on concepts of differential geometry, ...
Logistic Regression Applied to Seismic Discrimination
BG Amindan; DN Hagedorn
1998-10-08T23:59:59.000Z
The usefulness of logistic discrimination was examined in an effort to learn how it performs in a regional seismic setting. Logistic discrimination provides an easily understood method, works with user-defined models and few assumptions about the population distributions, and handles both continuous and discrete data. Seismic event measurements from a data set compiled by Los Alamos National Laboratory (LANL) of Chinese events recorded at station WMQ were used in this demonstration study. PNNL applied logistic regression techniques to the data. All possible combinations of the Lg and Pg measurements were tried, and a best-fit logistic model was created. The best combination of Lg and Pg frequencies for predicting the source of a seismic event (earthquake or explosion) used Lg{sub 3.0-6.0} and Pg{sub 3.0-6.0} as the predictor variables. A cross-validation test was run, which showed that this model was able to correctly predict 99.7% earthquakes and 98.0% explosions for this given data set. Two other models were identified that used Pg and Lg measurements from the 1.5 to 3.0 Hz frequency range. Although these other models did a good job of correctly predicting the earthquakes, they were not as effective at predicting the explosions. Two possible biases were discovered which affect the predicted probabilities for each outcome. The first bias was due to this being a case-controlled study. The sampling fractions caused a bias in the probabilities that were calculated using the models. The second bias is caused by a change in the proportions for each event. If at a later date the proportions (a priori probabilities) of explosions versus earthquakes change, this would cause a bias in the predicted probability for an event. When using logistic regression, the user needs to be aware of the possible biases and what affect they will have on the predicted probabilities.
Context Representation for Web Search Results
Baeza-Yates, Ricardo
Context Representation for Web Search Results JesÃºs Vegas Department of Computer Science U. Valladolid Context Representation for Web Search Results 2 Outline Intro Web search results in the web site and Future work #12;Context Representation for Web Search Results 3 Introduction Searching the web is one
Quantum Mechanics and Representation Theory Columbia University
Woit, Peter
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, 1967 Peter Woit (Columbia University) Quantum Mechanics and Representation Theory November 2013 2 / 30
Fazli, Syed Fazal Imam
1964-01-01T23:59:59.000Z
. CHAPTER II REVIEW OF LITERATURE The fungus, Helminthos orium ~or zae Breda de Haan, was described at the begi. nning of the twentieth century (1). It was associated with necro+ic spots on t?e leaves of cultivated rice. It is now known that H. ~or zae... and regular compared to kernels (not parboiled) middle right (Fig. 1. B). Discoloration showed various shades of brown lesions girdling the kernels. In advanced stages, the entire kernels were into'ved, resulting in black mass. 21 Some of the parbo! led...
Temporal Representation in Semantic Graphs
Levandoski, J J; Abdulla, G M
2007-08-07T23:59:59.000Z
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.
acute behavioral regression: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
is to propose a new classification and regression method for challenging highdimensional data. The proposed new technique casts classification problems (class labels as output)...
Chisel: Reliability-and Accuracy-Aware Optimization of Approximate Computational Kernels
Suresh, Subra
Chisel: Reliability- and Accuracy-Aware Optimization of Approximate Computational Kernels Sasa produces and the corre- sponding fully accurate result. The reliability of the computation performance, exhibit reduced reliability and/or accuracy. We present Chisel, a system for reliability
T-700:Red Hat: kernel security, bug fix, and enhancement update...
Broader source: Energy.gov (indexed) [DOE]
processes to gather confidential information, such as the length of a password used in a process. (CVE-2011-2495, Low) Impact: Bug 690028 - CVE-2011-1182 kernel signal spoofing...
U-068:Linux Kernel SG_IO ioctl Bug Lets Local Users Gain Elevated...
Broader source: Energy.gov (indexed) [DOE]
Linux Kernel SGIO 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...
Kernel Level Energy-Efficient 3G Background Traffic Shaper for Android Smartphones
Kernel Level Energy-Efficient 3G Background Traffic Shaper for Android Smartphones Ekhiotz Jon energy-efficient, the lack of energy aware- ness on the software front is becoming all too apparent
Systematics of the Relationship between Vacuum Energy Calculations and Heat Kernel Coefficients
S. A. Fulling
2003-04-03T23:59:59.000Z
Casimir energy is a nonlocal effect; its magnitude cannot be deduced from heat kernel expansions, even those including the integrated boundary terms. On the other hand, it is known that the divergent terms in the regularized (but not yet renormalized) total vacuum energy are associated with the heat kernel coefficients. Here a recent study of the relations among the eigenvalue density, the heat kernel, and the integral kernel of the operator $e^{-t\\sqrt{H}}$ is exploited to characterize this association completely. Various previously isolated observations about the structure of the regularized energy emerge naturally. For over 20 years controversies have persisted stemming from the fact that certain (presumably physically meaningful) terms in the renormalized vacuum energy density in the interior of a cavity become singular at the boundary and correlate to certain divergent terms in the regularized total energy. The point of view of the present paper promises to help resolve these issues.
Estimating the Bias of Local Polynomial Approximations Using the Peano Kernel
Blair, J., and Machorro, E.
2012-03-22T23:59:59.000Z
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.
The architecture of a plug-and-play kernel for oilfield software applications
Ward, V.L.; Seaton, C.P. [Schlumberger Dowell, Tulsa, OK (United States)
1996-12-01T23:59:59.000Z
It is now common practice for engineers to use PC software to design and evaluate oilfield services. Rapidly changing technology in PC software has made it necessary for organizations to release new applications quickly to remain competitive. The authors designed a plug-and-play kernel for the computer aided design and evaluation (CADE) applications to reduce development time and time to market. The paper discusses the kernel used in the CADE software in detail.
System Response Kernel Calculation for List-mode Reconstruction in Strip PET Detector
Bia?as, P; Strzelecki, A; Bednarski, T; Czerwi?ski, E; Kap?on, ?; Kochanowski, A; Korcyl, G; Kowalski, P; Kozik, T; Krzemie?, W; Molenda, M; Moskal, P; Nied?wiecki, Sz; Pa?ka, M; Pawlik, M; Raczy?ski, L; Rudy, Z; Salabura, P; Sharma, N G; Silarski, M; S?omski, A; Smyrski, J; Wi?licki, W; Zieli?ski, M
2013-01-01T23:59:59.000Z
Reconstruction of the image in Positron Emission Tomographs (PET) requires the knowledge of the system response kernel which describes the contribution of each pixel (voxel) to each tube of response (TOR). This is especially important in list-mode reconstruction systems, where an efficient analytical approximation of such function is required. In this contribution, we present a derivation of the system response kernel for a novel 2D strip PET.
Grid polygons from permutations and their enumeration by the kernel method
Toufik Mansour; Simone Severini
2006-03-09T23:59:59.000Z
A grid polygon is a polygon whose vertices are points of a grid. We define an injective map between permutations of length n and a subset of grid polygons on n vertices, which we call consecutive-minima polygons. By the kernel method, we enumerate sets of permutations whose consecutive-minima polygons satisfy specific geometric conditions. We deal with 2-variate and 3-variate generating functions involving derivatives, cases which are not routinely solved by the kernel method.
Feature selection in high dimensional regression problems for genomics
Paris-Sud XI, UniversitÃ© de
Feature selection in high dimensional regression problems for genomics Julie Hamon1,2,3 , Clarisse, France julien.jacques@lifl.fr Abstract. In the context of genomic selection in animal breeding and "closed to real" datasets. Keywords: Feature selection, combinatorial optimization, regression, genomic. 1
Regression Testing Minimisation, Selection and Prioritisation : A Survey
Singer, Jeremy
Regression Testing Minimisation, Selection and Prioritisation : A Survey Shin Yoo, Mark Harman King's College London, Centre for Research on Evolution, Search & Testing, Strand, London, WC2R 2LS, UK ABSTRACT Regression testing is a testing activity that is performed to provide confidence that changes do not harm
Geodesic image regression with a sparse parameterization of diffeomorphisms
Gerig, Guido
Geodesic image regression with a sparse parameterization of diffeomorphisms James Fishbaugh1 statistical analysis on longitudinal images. Geodesic models are particularly well suited for statistical, existing geodesic im- age regression models are parameterized by a large number of initial momenta, equal
FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS
Keller, Arturo A.
FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil resources resulting in water stress. Effective water management Â a solution Supply side management Demand side management #12;Developing a regression equation based on cluster analysis for forecasting water
Online political communication strategies: MEPs, e-representation and self-representation
Paris-Sud XI, UniversitÃ© de
1 Online political communication strategies: MEPs, e-representation and self- representation, Bournemouth University. Dr Lilleker's expertise is in public engagement in politics, and in particular how widely on the professionalisation and marketisation of political communication including Political
dos Santos, Pedro G.
2012-12-31T23:59:59.000Z
This dissertation provides insights on what influences women's descriptive representation in state legislatures in Brazil. The study of female representation in Brazil provides for a good case study as the country uses a ...
Luttman, A.
2012-10-08T23:59:59.000Z
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.
A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS.
Haiman, Mark D.
A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS. Adriano M. Garsia and Mark Haiman representations in various bi-degrees are given by the Macdonald coefficients KÂµ. Assuming one fundamental the conjectures in various special cases. 1 #12;1. Introduction Macdonald in (1, 2) introduced a remarkable new
A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS.
Haiman, Mark D.
A GRADED REPRESENTATION MODEL FOR MACDONALD'S POLYNOMIALS. Adriano M. Garsia and Mark Haiman representations in various biÂdegrees are given by the Macdonald coefficients K â??Â¯ . Assuming one fundamental the conjectures in various special cases. 1 #12; 1. Introduction Macdonald in (1, 2) introduced a remarkable new
DNA Motif Representation with Nucleotide Dependency
Chin, Francis Y.L.
DNA Motif Representation with Nucleotide Dependency Francis Chin1 and Henry Leung1 1 Department, these representations cannot model biological binding sites well because they fail to capture nucleotide interdependence. It has been pointed out by many researchers that the nucleotides of the DNA binding site cannot
3D Sparse Representations Lanusse F. a
Starck, Jean-Luc
3D Sparse Representations Lanusse F. a Starck J.-L. a Woiselle A. c Fadili M.J. b a Laboratoire AIM Securite, 95101 Argenteuil CEDEX, France. Abstract In this chapter we review a variety of 3D sparse representations developed in recent years and adapted to different kinds of 3D signals. In particular, we describe
NEST REPRESENTATIONS OF DIRECTED GRAPH ALGEBRAS
Katsoulis, Elias G.
NEST REPRESENTATIONS OF DIRECTED GRAPH ALGEBRAS KENNETH R. DAVIDSON AND ELIAS KATSOULIS Abstract. This paper is a comprehensive study of the nest rep- resentations for the free semigroupoid algebra LG that the finite dimensional nest representations sep- arate the points in LG, and a fortiori, in T + (G
Topics in ordinal logistic regression and its applications
Kim, Hyun Sun
2004-11-15T23:59:59.000Z
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...
Robust regression on noisy data for fusion scaling laws
Verdoolaege, Geert, E-mail: geert.verdoolaege@ugent.be [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium); Laboratoire de Physique des Plasmas de l'ERM - Laboratorium voor Plasmafysica van de KMS (LPP-ERM/KMS), Ecole Royale Militaire - Koninklijke Militaire School, B-1000 Brussels (Belgium)
2014-11-15T23:59:59.000Z
We introduce the method of geodesic least squares (GLS) regression for estimating fusion scaling laws. Based on straightforward principles, the method is easily implemented, yet it clearly outperforms established regression techniques, particularly in cases of significant uncertainty on both the response and predictor variables. We apply GLS for estimating the scaling of the L-H power threshold, resulting in estimates for ITER that are somewhat higher than predicted earlier.
Energy Star for Hospitals 2011 Update: Progression or Regression?
Travis, B.
2012-01-01T23:59:59.000Z
Energy Star for Hospitals 2011 Update: Progression or Regression? Brandon E. Travis1 1 Project Manager, SSRCx, 2995 Sidco Drive, Nashville, TN 37204, U.S.A. Email: btravis@ssr-inc.com Abstract: The Energy Star performance rating system...ENERGY STAR for Hospitals 2011 Update: Progression or Regression? Brandon E. Travis October 24, 2012 History of Energy Star Energy Star for Hospitals Critique & Conclusions Outline ? Benchmarks are important ? Energy efficiency void...
Lindemer, Terrence [Harbach Engineering and Solutions] [Harbach Engineering and Solutions; Voit, Stewart L [ORNL] [ORNL; Silva, Chinthaka M [ORNL] [ORNL; Besmann, Theodore M [ORNL] [ORNL; Hunt, Rodney Dale [ORNL] [ORNL
2014-01-01T23:59:59.000Z
The U.S. Department of Energy is considering a new nuclear fuel that would be less susceptible to ruptures during a loss-of-coolant accident. The fuel would consist of tristructural isotropic coated particles with large, dense uranium nitride (UN) kernels. This effort explores many factors involved in using gel-derived uranium oxide-carbon microspheres to make large UN kernels. Analysis of recent studies with sufficient experimental details is provided. Extensive thermodynamic calculations are used to predict carbon monoxide and other pressures for several different reactions that may be involved in conversion of uranium oxides and carbides to UN. Experimentally, the method for making the gel-derived microspheres is described. These were used in a microbalance with an attached mass spectrometer to determine details of carbothermic conversion in argon, nitrogen, or vacuum. A quantitative model is derived from experiments for vacuum conversion to an uranium oxide-carbide kernel.
Dancing with Giants: Wimpy Kernels for On-demand Isolated I/O Zongwei Zhou Miao Yu Virgil D. Gligor
Tague, Patrick
. This paper presents a security architecture based on a wimpy kernel that provides on-demand isolated I and complexity of the wimpy kernel are minimized by safely outsourcing I/O subsystem functions to an untrusted untrust- worthy software components will certainly continue to exist in future commodity platforms
Hiromichi Suetani; Yukito Iba; Kazuyuki Aihara
2005-07-21T23:59:59.000Z
An approach based on the kernel methods for capturing the nonlinear interdependence between two signals is introduced. It is demonstrated that the proposed approach is useful for characterizing generalized synchronization with a successful simple example. An attempt to choose an optimal kernel parameter based on cross validation is also discussed.
The congruence kernel of an arithmetic lattice in a rank one algebraic group over a local field
Zalesskii, Pavel
is finite. Otherwise the CSP has an essentially negative answer. The principal result in [S1] is that-called congruence subgroup problem or CSP, has attracted a great deal of attention since the 19th century-)congruence kernel of G. In his terminology [S1] the CSP for this group has an affirmative answer if this kernel
RTK-Spec TRON: A Simulation Model of an ITRON Based RTOS Kernel in SystemC
Boyer, Edmond
RTK-Spec TRON: A Simulation Model of an ITRON Based RTOS Kernel in SystemC M. AbdElSalam Hassan of RTOS simulation models in a System Level Design Language (SLDL) like SystemC. We describe these constructs and show how they are used to build a simulation model of an RTOS kernel targeting the Âµ- ITRON OS
-parallel hyper- planes were determined via solving two generalized eigen- value problem and the method is termedNon-parallel semi-supervised classification based on kernel spectral clustering Siamak Mehrkanoon and Johan A. K. Suykens Abstract-- In this paper, a non-parallel semi-supervised al- gorithm based on kernel
Asymptotic Integral Kernel for Ensembles of Random Normal Matrix with Radial Potentials
Alexei M. Veneziani; Tiago Pereira; Domingos H. U. Marchetti
2011-06-23T23:59:59.000Z
We use the steepest descents method to study the integral kernel of a family of normal random matrix ensembles with eigenvalue distribution P_{N}(z_{1},...,z_{N}) = Z_{N}^{-1} e^{-N\\Sigma_{i=1}^{N}V_{\\alpha}(z_{i})} \\Pi_{1\\leqi
Davis JE, Eddy MJ, Sutton TM, Altomari TJ
2007-03-01T23:59:59.000Z
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.
MONOMIAL REPRESENTATIONS M. Harris, Eilenberg lecture 3
Harris, Michael - Institut de MathÃ©matiques de Jussieu, UniversitÃ© Paris 7
MONOMIAL REPRESENTATIONS M. Harris, Eilenberg lecture 3 In the previous lecture I described Hecke. HARRIS, EILENBERG LECTURE 3 (5) Suppose is associated to a compatible family M Â¯QÃ? of one
Evaluating Hydrology Preservation of Simplified Terrain Representations
Varela, Carlos
Evaluating Hydrology Preservation of Simplified Terrain Representations Ph. D. Student: Christopher captures the hydrology is important for determining the effectiveness of a terrain simplification technique also present a novel ter- rain simplification algorithm based on the compression of hydrology features
Evaluating Hydrology Preservation of Simplified Terrain Representations
Franklin, W. Randolph
Evaluating Hydrology Preservation of Simplified Terrain Representations Jonathan Muckella , Marcus network. A quan- titative measurement of how accurately a drainage network captures the hydrology to preserve the important hydrology features. This method and other simplification schemes are then evaluated
Harmonic Representation of Combinations and Partitions
Michalis Psimopoulos
2011-03-01T23:59:59.000Z
In the present article a new method of deriving integral representations of combinations and partitions in terms of harmonic products has been established. This method may be relevant to statistical mechanics and to number theory.
QUASI-REPRESENTATIONS OF SURFACE GROUPS 1 ...
2012-07-13T23:59:59.000Z
C?-algebra. 1. Introduction. Let G be a discrete countable group. In [3,4] the ... conjecture, a unital finite dimensional representation ?: C?(G) ? Mr(C) induces ...
Mental Representations Formed From Educational Website Formats
Elizabeth T. Cady; Kimberly R. Raddatz; Tuan Q. Tran; Bernardo de la Garza; Peter D. Elgin
2006-10-01T23:59:59.000Z
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.
Quantization and erasures in frame representations
Boufounos, Petros T., 1977-
2006-01-01T23:59:59.000Z
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 ...
E-Print Network 3.0 - applied regression including Sample Search...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Model command5 to obtain the multiple regression output (p 118) RSquare RSquare... 2003 Module 4 The Multiple Regression Model Example: Explaining and predicting fuel efficiency...
E-Print Network 3.0 - adaptive regression modeling Sample Search...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Computation (ABC) Michael Blum Olivier... regression model parameter, s summary statistic (here in one dimension) 12;Linear regression improves... ABC 12;Blum and OF (2009)...
TEMPERED OPERATORS AND THE HEAT KERNEL AND COMPLEX POWERS OF ELLIPTIC PSEUDODIFFERENTIAL OPERATORS
Loya, Paul
TEMPERED OPERATORS AND THE HEAT KERNEL AND COMPLEX POWERS OF ELLIPTIC PSEUDODIFFERENTIAL OPERATORS operator and complex powers of b-pseudodi#27;erential operators, as the heat operator and complex powers are the Laplace and Mellin transforms, respectively, of the resolvent. The heat operator and complex powers
One-rank interaction kernel of the two-nucleon system for medium and high energies
S. G. Bondarenko; V. V. Burov; W-Y. Pauchy Hwang; E. P. Rogochaya
2008-06-04T23:59:59.000Z
A new version of the separable kernel of the nucleon-nucleon interaction in the Bethe-Salpeter approach is presented. The phase shifts are fitted to recent experimental data for singlet and uncoupled triplet partial waves of the neutron-proton scattering with total angular momenta J=0,1. The results are compared with other model calculations.
IEEE SIGNAL PROCESSING MAGAZINE 2013 1 Kernel Multivariate Analysis Framework for
Camps-Valls, Gustavo
IEEE SIGNAL PROCESSING MAGAZINE 2013 1 Kernel Multivariate Analysis Framework for Supervised in the literature collectively grouped under the field of Multivariate Analysis (MVA). This paper provides a uniform Correlation Analysis (CCA) and Orthonormalized PLS (OPLS), as well as their non- linear extensions derived
Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines
Cauwenberghs, Gert
Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines Roman Genov and Gert roman,gertÂ¡ @jhu.edu Abstract A mixed-signal paradigm is presented for high-resolution parallel inner processing. At the core of the externally digital architecture is a high-density, low-power analog array
Contem porary M athem atics Heat Kernels measures and Infinite dimensional analysis.
Driver, Bruce
Contem porary M athem atics Heat Kernels measures and Infinite dimensional analysis. Bruce K 0202939. cÂ°0000 (copyright holder) 1 2 BRUCE K. DRIVER Section 3 is devoted to a description, random walks and analysis to manifolds and graphs" held at IHP in Paris. 2. Finite Dimensional Heat
Shi, Tao
Abstract Polar Cloud Detection using Satellite Data with Analysis and Application of Kernel Professor Bin Yu, Chair Clouds play a major role in Earth's climate and cloud detection is a crucial step climate model studies. Cloud detection is particularly difficult in the snow- and ice-covered polar
Unified Convolutional/Turbo Decoder Architecture Design Based on Triple-Mode MAP/VA Kernel
Hung, Shih-Hao
Unified Convolutional/Turbo Decoder Architecture Design Based on Triple-Mode MAP/VA Kernel Fan convolutional/ turbo decoder design. According to the triple-mode MAP/VA timing chart and by merging some similar modules in both the Viterbi decoder and the log-MAP turbo code decoder, we build one unified
Path Integral Control by Reproducing Kernel Hilbert Space Embedding Konrad Rawlik
Vijayakumar, Sethu
of stochastic optimal control problems, of the so called path integral form, into reproducing kernel Hilbert efficiency, are provided. 1 Introduction While solving general non-linear stochastic optimal con- trol (SOC new sam- ples [Theodorou et al., 2010; 2009]. Additionally, the ap- proach remains model
IEEE TRANSACTIONS ON NEURAL NETWORKS 1 Online Kernel-based Learning
an application in task-space tracking control of redundant robots possible. The model parametrization furtherIEEE TRANSACTIONS ON NEURAL NETWORKS 1 Online Kernel-based Learning for Task-Space Tracking Robot Control Duy Nguyen-Tuong, Jan Peters Abstract--Task-space control of redundant robot systems based
Definition RX Evaluate Kernels K-2d K-1d Change By definition undefined
Theiler, James
Definition RX Evaluate Kernels K-2d K-1d Change By def·i·ni·tion undefined Adventures in anomaly Alamos National Laboratory Research supported by the United States Department of Energy through the Los Alamos Laboratory Directed Research and Development (LDRD) Program. #12;Theiler LA-UR-14-24429 Definition
Selection and Properties of Alternative Forming Fluids for TRISO Fuel Kernel Production
Doug Marshall; M. Baker; J. King; B. Gorman
2013-01-01T23:59:59.000Z
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.
A Reproducing Kernel Hilbert Space framework for Spike Train Signal Processing
Utah, University of
A Reproducing Kernel Hilbert Space framework for Spike Train Signal Processing AntÂ´onio R. C. Paiva describe and manipulate spike trains. The main idea is the definition of inner products to allow spike train signal processing from basic principles while incorporating their statistical description as point
Frequent Pattern Mining for Kernel Trace Data Christopher LaRosa, Li Xiong, Ken Mandelberg
Xiong, Li
, application programmers, operating systems engineers, and security analysts. In the systems area, data miningFrequent Pattern Mining for Kernel Trace Data Christopher LaRosa, Li Xiong, Ken Mandelberg patterns and other recurring runtime execution patterns in operating system trace logs, we employ data
An improved ECG-Derived Respiration Method using Kernel Principal Component Analysis
An improved ECG-Derived Respiration Method using Kernel Principal Component Analysis Devy Widjaja1) of heart beats generates well-performing ECG- derived respiratory signals (EDR). This study aims at im in the extraction of a respiratory signal from single lead ECGs. 1. Introduction Respiration is often jointly
Comparing Single and Multiple Turbine Representations in a Wind Farm Simulation: Preprint
Muljadi, E.; Parsons, B.
2006-03-01T23:59:59.000Z
This paper compares single turbine representation versus multiple turbine representation in a wind farm simulation.
INDECOMPOSABLE REPRESENTATIONS FOR REAL ROOTS OF A WILD QUIVER
Su, Xiuping
INDECOMPOSABLE REPRESENTATIONS FOR REAL ROOTS OF A WILD QUIVER BERNT TORE JENSEN AND XIUPING SU wild quiver. We define operations which act on representations of this quiver, and using representation and the generic representation coincide. We will see that for wild quivers, the situation can
Polynomial regression with derivative information in nuclear reactor uncertainty quantification*
Anitescu, Mihai
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, Argonne National Laboratory, Argonne, IL, USA b Nuclear Engineering Division, Argonne National Laboratory
Climate Multi-model Regression Using Spatial Smoothing Karthik Subbian
Banerjee, Arindam
Climate Multi-model Regression Using Spatial Smoothing Karthik Subbian Arindam Banerjee Abstract There are several Global Climate Models (GCMs) reported by var- ious countries to the Intergovernmental Panel on Climate Change (IPCC). Due to the varied nature of the GCM assumptions, the fu- ture projections
Secure computation with horizontally partitioned data using adaptive regression
Reiter, Jerome P.
illustrate the protocol with air pollution data. Key words: Confidentiality, Disclosure, Regression, Secure mining with association rules (Kantarcioglu and Clifton, 2002; Vaidya and Clifton, 2002; Evfimievski et- ature on privacy-preserving data mining (Agrawal and Srikant, 2000; Lindell and Pinkas, 2000) contains
A Data Partitioning Scheme for Spatial Regression Slobodan Vucetic1
Vucetic, Slobodan
A Data Partitioning Scheme for Spatial Regression Slobodan Vucetic1 , Tim Fiez2 and Zoran Obradovic dealing with agricultural problems characterized with strong spatial data correlation. A sim- ple spatial better generalization is proposed. Also, integration of predictors formed from spatially partitioned data
Worldwide Oil Production Michaelis-Menten Kinetics Correlation and Regression
Watkins, Joseph C.
Worldwide Oil Production Michaelis-Menten Kinetics Topic 4 Correlation and Regression Transformed Variables 1 / 13 #12;Worldwide Oil Production Michaelis-Menten Kinetics Outline Worldwide Oil Production Michaelis-Menten Kinetics Lineweaver-Burke double reciprocal plot 2 / 13 #12;Worldwide Oil Production
Adaptive matrix distances aiming at optimum regression subspaces
Blanz, Volker
with distances of the associated target space. The formalism of multivariate subspace regression (MSR) is based space, such as linear discriminant analysis (LDA) for dis- crete class labels [3], generalized linear.strickert@uni-siegen.de Abstract. A new supervised adaptive metric approach is introduced for mapping an input vector space
A Visual Analytics Approach for Correlation, Classification, and Regression Analysis
Swan II, J. Edward
multivariate visual analysis. The current work features an expanded version of MDX that builds on recentA Visual Analytics Approach for Correlation, Classification, and Regression Analysis Chad A. Steeda, Mississippi State University, Stennis Space Center, MS, 39529; cDepartment of Computer Science and Engineering
Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema
Bowden, Richard
Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema Brian Holt, Eng with the extraction of geodesic extrema to find extremities. We show how these approaches are complementary obtained by exploiting the geodesic structure supports accurate estimation of extremal points which cor
Geodesic shape regression in the framework of currents
Prastawa, Marcel
Geodesic shape regression in the framework of currents James Fishbaugh1 , Marcel Prastawa1 , Guido fully parameterize the geodesic shape evolution. This is in contrast to previous shape re- gression on the shape space and the corresponding re- gression function. In [5], a piecewise geodesic method has been
Geodesic shape regression in the framework of currents
Gerig, Guido
Geodesic shape regression in the framework of currents James Fishbaugh1 , Marcel Prastawa1 , Guido fully parameterize the geodesic shape evolution. This is in contrast to previous shape re- gression and the corresponding re- gression function. In [5], a piecewise geodesic method has been proposed, which extends
Geodesic Regression on Riemannian Manifolds P. Thomas Fletcher
Boyer, Edmond
Geodesic Regression on Riemannian Manifolds P. Thomas Fletcher School of Computing, University a manifold-valued random variable and a real-valued independent parameter. The principle is to fit a geodesic is evaluated as the sum-of-squared geodesic distances from the model to the data, and this provides
Discrete geodesic regression in shape space Benjamin Berkels1
Rumpf, Martin
Discrete geodesic regression in shape space Benjamin Berkels1 , P. Thomas Fletcher2 , Behrend Benedikt.Wirth@cims.nyu.edu Abstract. A new approach for the effective computation of geodesic re- gression curves in shape spaces is presented. Here, one asks for a geodesic curve on the shape manifold
Regression-Based RTL Power Modeling ALESSANDRO BOGLIOLO
De Micheli, Giovanni
introduce a low overhead on-line characterization method for enhancing the accuracy of off-line estimation is a key feature for synthesis-based design flows. The main challenge in establishing a sound RTL-up off-line characterization of regression-based power macromodels is discussed in detail. Moreover, we
Regression and Causation: A Critical Examination of Six Econometrics Textbooks
California at Los Angeles, University of
Regression and Causation: A Critical Examination of Six Econometrics Textbooks Bryant Chen-1596, USA (310) 825-3243 September 10, 2013 Abstract This report surveys six influential econometric acceptance of the causal content of econometric equations and, uniformly, fail to provide coherent
Bayesian Regularization and Model Choice in Structured Additive Regression
Gerkmann, Ralf
on the regression coefficients with an inno- vative multiplicative parameter expansion that induces desirable shrinkage properties. This thesis points out a possible reason why previous attempts at extending SSVS with locally varying exponential-gamma distributed variances for the differences of the P-spline coefficients
Rothermel, Gregg
for Regression Test Selection Mary Jean Harrold 1 David Rosenblum 2 Gregg Rothermel 3 Elaine Weyuker 4 Abstract Regression testing is an important activity that can account for a large proportion of the cost of software maintenance. One approach to reducing the cost of regression testing is to employ a selective regression
Natural geometric representation for electron local observables
Minogin, V.G., E-mail: minogin@isan.troitsk.ru
2014-03-15T23:59:59.000Z
An existence of the quartic identities for the electron local observables that define orthogonality relations for the 3D quantities quadratic in the electron observables is found. It is shown that the joint solution of the quartic and bilinear identities for the electron observables defines a unique natural representation of the observables. In the natural representation the vector type electron local observables have well-defined fixed positions with respect to a local 3D orthogonal reference frame. It is shown that the natural representation of the electron local observables can be defined in six different forms depending on a choice of the orthogonal unit vectors. The natural representation is used to determine the functional dependence of the electron wave functions on the local observables valid for any shape of the electron wave packet. -- Highlights: •Quartic identities that define the orthogonality relations for the electron local observables are found. •Joint solution of quartic and bilinear identities defines a unique natural representation of the electron local observables. •Functional dependence of the electron wave functions on the electron local observables is determined.
PROPERTIES OF A SOLAR FLARE KERNEL OBSERVED BY HINODE AND SDO
Young, P. R. [College of Science, George Mason University, 4400 University Drive, Fairfax, VA 22030 (United States)] [College of Science, George Mason University, 4400 University Drive, Fairfax, VA 22030 (United States); Doschek, G. A.; Warren, H. P. [Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375 (United States)] [Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375 (United States); Hara, H. [National Astronomical Observatory of Japan/NINS, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 (Japan)] [National Astronomical Observatory of Japan/NINS, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 (Japan)
2013-04-01T23:59:59.000Z
Flare kernels are compact features located in the solar chromosphere that are the sites of rapid heating and plasma upflow during the rise phase of flares. An example is presented from a M1.1 class flare in active region AR 11158 observed on 2011 February 16 07:44 UT for which the location of the upflow region seen by EUV Imaging Spectrometer (EIS) can be precisely aligned to high spatial resolution images obtained by the Atmospheric Imaging Assembly (AIA) and Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO). A string of bright flare kernels is found to be aligned with a ridge of strong magnetic field, and one kernel site is highlighted for which an upflow speed of Almost-Equal-To 400 km s{sup -1} is measured in lines formed at 10-30 MK. The line-of-sight magnetic field strength at this location is Almost-Equal-To 1000 G. Emission over a continuous range of temperatures down to the chromosphere is found, and the kernels have a similar morphology at all temperatures and are spatially coincident with sizes at the resolution limit of the AIA instrument ({approx}<400 km). For temperatures of 0.3-3.0 MK the EIS emission lines show multiple velocity components, with the dominant component becoming more blueshifted with temperature from a redshift of 35 km s{sup -1} at 0.3 MK to a blueshift of 60 km s{sup -1} at 3.0 MK. Emission lines from 1.5-3.0 MK show a weak redshifted component at around 60-70 km s{sup -1} implying multi-directional flows at the kernel site. Significant non-thermal broadening corresponding to velocities of Almost-Equal-To 120 km s{sup -1} is found at 10-30 MK, and the electron density in the kernel, measured at 2 MK, is 3.4 Multiplication-Sign 10{sup 10} cm{sup -3}. Finally, the Fe XXIV {lambda}192.03/{lambda}255.11 ratio suggests that the EIS calibration has changed since launch, with the long wavelength channel less sensitive than the short wavelength channel by around a factor two.
Representations of groups of order 16
McCarthy, Edmond Robert
1966-01-01T23:59:59.000Z
, the linear transformat'ion A is equal to kE where E is the identity transformation of Hom(U, U). We now apply I. emma 2. 5 to obtain a significant re- sult for the representations of Abelian groups. Theorem 2. 1. Every irreducible representation of a.... & 1 k i ' i It follows that p cannot divide all the ni since c is not divisible by p. Let g E 6 belong to some conjugacy class of n denote by elements such that p does not divi, de n and g N(g), the normalizer of g in G. Since 5(g) is a sub...
Boyer, Edmond
Kernel for a Semantic Learning Platform with adapted suggestions Ioan SZILAGYI, Radu BALOG {ioan.szilagyi; radu.balog-crisan; ioan.roxin}@univ-fcomte.fr Abstract -- In the context of personalized
Kwok, James Tin-Yau
-Wing Mak, Member, IEEE, Roger Wend-Huu Hsiao, Student Member, IEEE, Simon Ka-Lung Ho, and James T. Kwok using kernel principal component analysis. A new speaker model is then constructed as a linear
Heat Kernel Asymptotic Expansion on Unbounded Domains with Polynomially Confining Potentials
Guglielmo Fucci
2014-05-14T23:59:59.000Z
In this paper we analyze the small-t asymptotic expansion of the trace of the heat kernel associated with a Laplace operator endowed with a spherically symmetric polynomially confining potential on the unbounded, d-dimensional Euclidean space. To conduct this study, the trace of the heat kernel is expressed in terms of its partially resummed form which is then represented as a Mellin-Barnes integral. A suitable contour deformation then provides, through the use of Cauchy's residue theorem, closed formulas for the coefficients of the asymptotic expansion. The general expression for the asymptotic expansion, valid for any dimension and any polynomially confining potential, is then specialized to two particular cases: the general quartic and sestic oscillator potentials.
Stein's method, heat kernel, and traces of powers of elements of compact Lie groups
Jason Fulman
2010-05-07T23:59:59.000Z
Combining Stein's method with heat kernel techniques, we show that the trace of the jth power of an element of U(n,C), USp(n,C) or SO(n,R) has a normal limit with error term of order j/n. In contrast to previous works, here j may be growing with n. The technique should prove useful in the study of the value distribution of approximate eigenfunctions of Laplacians.
Effect of Pre and Post-Harvest Treatments on Characteristics of ‘Pawnee’ Pecan Kernels
Mansur, Zainab J
2014-04-17T23:59:59.000Z
, and bright color (Herrera, 2005). Color, flavor, and appearance were maintained for 25 years when kernels were stored at -20 °C in hermetically sealed containers (Hao et al., 1991). Although freezing or refrigeration are suitable methods for prolonged...’. This may be attributed to the effect that refrigeration had on the nuts, which were placed in the refrigerator for 11 weeks prior to the 2nd shelling date. According to Herrera (2005), the greatest benefit of storing at nuts at a low temperature...
Heat kernel Coefficients and Divergencies of the Casimir Energy for the Dispersive Sphere
M. Bordag; K. Kirsten
2001-10-24T23:59:59.000Z
The first heat kernel coefficients are calculated for a dispersive ball whose permittivity at high frequency differs from unity by inverse powers of the frequency. The corresponding divergent part of the vacuum energy of the electromagnetic field is given and ultraviolet divergencies are seen to be present. Also in a model where the number of atoms is fixed the pressure exhibits infinities. As a consequence, the ground-state energy for a dispersive dielectric ball cannot be interpreted easily.
J. M. Harrison; K. Kirsten
2010-03-16T23:59:59.000Z
We consider Laplace operators on metric graphs, networks of one-dimensional line segments (bonds), with matching conditions at the vertices that make the operator self-adjoint. Such quantum graphs provide a simple model of quantum mechanics in a classically chaotic system with multiple scales corresponding to the lengths of the bonds. For graph Laplacians we briefly report results for the spectral determinant, vacuum energy and heat kernel asymptotics of general graphs in terms of the vertex matching conditions.
Evaluation of sintering effects on SiC incorporated UO2 kernels under Ar and Ar-4%H2 environments
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
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.
Latest Jurassic-early Cretaceous regressive facies, northeast Africa craton
van Houten, F.B.
1980-06-01T23:59:59.000Z
Nonmarine to paralic detrital deposits accumulated in six large basins between Algeria and the Arabo-Nubian shield during major regression in latest Jurassic and Early Cretaceous time. The Ghadames Sirte (north-central Libya), and Northern (Egypt) basins lay along the cratonic margin of northeastern Africa. The Murzuk, Kufra, and Southern (Egypt) basins lay in the south within the craton. Data for reconstructing distribution, facies, and thickness of relevant sequences are adequate for the three northern basins only. High detrital influx near the end of Jurassic time and in mid-Cretaceous time produced regressive nubian facies composed largely of low-sinuosity stream and fahdelta deposits. In the west and southwest the Ghadames, Murzuk, and Kufra basins were filled with a few hundred meters of detritus after long-continued earlier Mesozoic aggradation. In northern Egypt the regressive sequence succeeded earlier Mesozoic marine sedimentation; in the Sirte and Southern basins correlative deposits accumulated on Precambrian and Variscan terranes after earlier Mesozoic uplift and erosion. Waning of detrital influx into southern Tunisia and adjacent Libya in the west and into Israel in the east initiated an Albian to early Cenomanian transgression of Tethys. By late Cenomanian time it had flooded the entire cratonic margin, and spread southward into the Murzuk and Southern basins, as well as onto the Arabo-Nubian shield. Latest Jurassic-earliest Cretaceous, mid-Cretaceous, and Late Cretaceous transgressions across northeastern Africa recorded in these sequences may reflect worldwide eustatic sea-level rises. In contrast, renewed large supply of detritus during each regression and a comparable subsidence history of intracratonic and marginal basins imply regional tectonic control. 6 figures.
ARITHMETIC OF THE OSCILLATOR REPRESENTATION Michael Harris
Harris, Michael - Institut de MathÃ©matiques de Jussieu, UniversitÃ© Paris 7
ARITHMETIC OF THE OSCILLATOR REPRESENTATION Michael Harris Â§1. Moduli 1.1. Let V = Q2g , and let schemes g N : Ag N [N] - (N-1 T/T)Mg N . Typeset by AMS-TEX 1 #12;2 MICHAEL HARRIS 1.3. Let : Ag N Mg N
Representation Issues in Neighborhood Search and
Whitley, Darrell
. Yet, we also know that no search method is better than another over all possible problems is better than any other over all possible discrete functions. Radcliffe and Surry (1995) extend these notions to also cover the idea that all representations are equivalent when their behavior is considered
Issues in Temporal Representation of Multimedia Documents
Joseph Fourier Grenoble-I, UniversitÃ©
in line mode. This is because the document #12; 2 source integrate both elements descriptive markupIssues in Temporal Representation of Multimedia Documents Nabil LayaÃ¯da OPERA project, INRIA RhÃ´ne the means of increasing the richÂ ness of information contained in electronic documents. One of the goals
Video Indexing Based on Mosaic Representations
Shapiro, Ehud
1 Video Indexing Based on Mosaic Representations Michal Irani P. Anandan Abstract| Video is a rich is implicitly buried inside the raw video data, and is provided with the cost of very high temporal redundancy. While the standard sequential form of video storage is ad- equate for viewing in a "movie mode
Maps and Mapping Lab 6: Terrain Representation
Clarke, Keith
Maps and Mapping Lab 6: Terrain Representation OBJECTIVES Representing the earth's relief on a two. In this exercise, we will examine some ways that terrain can be represented on a map and in digital form. You exaggeration using Google Earth. MATERIALS USGS Quadrangle map, Ruler, Pencil, Calculator, Google Earth (4
Neuronal Representations of Learning Sensorimotor Skills
of learning-related changes: additional controls and simulations....68-74 V. Viewing and Doing: SimilarNeuronal Representations of Learning Sensorimotor Skills Thesis submitted for the degree "Doctor.......................................................................................26-47 II. Preparatory Activity in Motor Cortex Reflects Learning of Local Visuomotor Skills
ModelicaXML A Modelica XML representation
Zhao, Yuxiao
>email@none.ro person> ... person job="manager"> Classified person> persons> #12;6November 04 for XML document validation person-job-attribute "job (programmer|manager) #REQUIREDModelicaXML A Modelica XML representation with Applications Adrian Pop, Peter Fritzson Programming
Poisson Regression Analysis of Illness and Injury Surveillance Data
Frome E.L., Watkins J.P., Ellis E.D.
2012-12-12T23:59:59.000Z
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.
Solving three-body scattering problem in the momentum lattice representation
V. N. Pomerantsev; V. I. Kukulin; O. A. Rubtsova
2008-12-02T23:59:59.000Z
A brief description of the novel approach towards solving few-body scattering problems in a finite-dimensional functional space of the $L_2$-type is presented. The method is based on the complete few-body continuum discretization in the basis of stationary wave packets. This basis, being transformed to the momentum representation, leads to the cell-lattice-like discretization of the momentum space. So the initial scattering problem can be formulated on the multi-dimensional momentum lattice which makes it possible to reduce the solution of any scattering problem above the breakup threshold (where the integral kernels include, in general, some complicated moving singularities) to convenient simple matrix equations which can be solved on the real energy axis. The phase shifts and inelasticity parameters for the three-body $nd$ elastic scattering with MT I-III $NN$ potential both below and above the three-body breakup threshold calculated with the proposed wave-packet technique are in a very good agreement with the previous accurate benchmark calculation results.
AUTOMORPHIC REPRESENTATIONS OF GL(n) 1. Local theory of representations of GL(n)
Harris, Michael - Institut de MathÃ©matiques de Jussieu, UniversitÃ© Paris 7
AUTOMORPHIC REPRESENTATIONS OF GL(n) 1. Local theory of representations of GL(n) GL(n, F), F classification. Let O F be the ring of integers. 1.1.1 Principal series. Let B GL(n) be the upperÃ? and we let () = Ind GL(n,F ) B(F ) , where the induction is normalized (as for n = 2 to make
Representation of Energy Use in the Food Products Industry
Elliott, N. R.
2007-01-01T23:59:59.000Z
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...
Preservice teachers' knowledge of linear functions within multiple representation modes
You, Zhixia
2009-05-15T23:59:59.000Z
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...
PRODUCT REPRESENTATION IN LIGHTWEIGHT FORMATS FOR PRODUCT LIFECYCLE MANAGEMENT (PLM)
Rzepa, Henry S.
PRODUCT REPRESENTATION IN LIGHTWEIGHT FORMATS FOR PRODUCT LIFECYCLE MANAGEMENT (PLM) Lian Ding environments and the entire product lifecycle. There are new requirements for product representations, including: platform/application independence, support for the product lifecycle, rapidly sharing information
Condensed representations for data mining Jean-Franois Boulicaut
Boulicaut, Jean-FranÃ§ois
Condensed representations for data mining Jean-FranÃ§ois Boulicaut INSA de Lyon LIRIS CNRS FRE 2672.), Idea Group Reference, 2005, pp. 207-211. #12;Condensed Representations for Data Mining Jean-FranÃ§ois Boulicaut, INSA de Lyon, France INTRODUCTION Condensed representations have been proposed in (Mannila
Condensed Representation of Sequential Patterns According to Frequency-Based
Boyer, Edmond
Condensed Representation of Sequential Patterns According to Frequency-Based Measures Marc Nacre, 14032 Caen Cedex, France Abstract. Condensed representations of patterns are at the core of many, we tackle sequential data and we define an exact condensed representation for sequential patterns ac
Scott Domain Representability of a Class of Generalized Ordered Spaces
Lutzer, David J.
-space constructed on a locally compact LOTS, is Scott-domain representable, i.e., is homeomorphic to the space-domain representable (i.e., being homeomorphic to the subspace of maximal elements of a Scott-domain with the ScottScott Domain Representability of a Class of Generalized Ordered Spaces Kevin W. Duke and David
Fractal Representation of Planar Shapes Wladyslaw Skarbek3
Vialatte, FranÃ§ois
Fractal Representation of Planar Shapes Wladyslaw Skarbek3 Frontier Research Program RIKEN, ABS of planar shapes, (e.g. characters in the given font) a fractal operator is de#12;ned which when applied on the fractal representation. Signi#12;cant compression of data volume was obtained for shape representation
Extremely local MR representations: Youngmi Hur1 & Amos Ron2
Maryland at College Park, University of
Extremely local MR representations: L-CAMP Youngmi Hur1 & Amos Ron2 Workshop on sparse representations: UMD, May 2005 1 Math, UW-Madison 2 CS, UW-Madison #12;Wavelet and framelet constructions History of all local MR representations #12;L-CAMP: Extremely local MR constructions Bird's view of the CAP
Miao, Jingang
2014-05-30T23:59:59.000Z
As a probabilistic statistical classification model, logistic regression (or logit regression) is widely used to model the outcome of a categorical dependent variable based on one or more predictor variables/features. We study two problems related...
Photovoltaic Array Condition Monitoring Based on Online Regression of Performance Model
Teodorescu, Remus
Photovoltaic Array Condition Monitoring Based on Online Regression of Performance Model Sergiu Abstract -- Photovoltaic (PV) system performance can be degraded by a series of factors affecting the PV monitoring, fault detection, performance model, photovoltaic systems, regression analysis. I. INTRODUCTION
Washington at Seattle, University of
Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric Concentrations. #12;1 Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric. * Corresponding author. Submitted to Atmospheric Environment July, 2001. Abstract The relationship
Inverse operator representations of quantum phase
G. M. Saxena
2008-03-14T23:59:59.000Z
We define quantum phase in terms of inverses of annihilation and creation operators. We show that like Susskind - Glogower phase operators, the measured phase operators and the unitary phase operators can be defined in terms of the inverse operators. However, for the unitary phase operator the Hilbert space includes the negative energy states. The quantum phase in inverse operator representation may find the applications in the field of quantum optics particularly in the squeezed states.
The Impact of Test Suite Granularity on the CostEffectiveness of Regression Testing
Rothermel, Gregg
The Impact of Test Suite Granularity on the CostÂEffectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modi#12;cations. The cost-e#11;ective- ness of regression testing techniques varies with characteris- tics of test
On Test Suite Composition and Cost-Effective Regression Testing Gregg Rothermel
Rothermel, Gregg
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
The Impact of Test Suite Granularity on the Cost-Effectiveness of Regression Testing
Rothermel, Gregg
The Impact of Test Suite Granularity on the Cost-Effectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modi cations. The cost-e ective- ness of regression testing techniques varies with characteris- tics of test
The Impact of Test Suite Granularity on the CostEffectiveness of Regression Testing
Rothermel, Gregg
The Impact of Test Suite Granularity on the CostÂEffectiveness of Regression Testing Gregg,pkallakug@cse.unl.edu ABSTRACT Regression testing is an expensive testing process used to validate software following modifications. The costÂeffectiveÂ ness of regression testing techniques varies with characterisÂ tics of test
On Test Suite Composition and Cost-Effective Regression Testing. Gregg Rothermel
Rothermel, Gregg
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
The Application of Program Slicing to Regression Testing David Binkley \\Lambda
Binkley, David W.
The Application of Program Slicing to Regression Testing David Binkley \\Lambda Loyola College in Maryland ABSTRACT Software maintainers are faced with the task of regression testing: retesting a program after a modificaÂ tion. The goal of regression testing is to ensure that bug fixes and new functionality
Cyclic transgressive and regressive sequences, Paleocene Suite, Sirte basin, Libya
Abushagur, S.A.
1986-05-01T23:59:59.000Z
The Farrud lithofacies represent the main reservoir rock of the Ghani oil field and Western Concession Eleven of the Sirte basin, Libya. Eight microfacies are recognized in the Farrud lithofacies in the Ghani field area: (1) bryozoan-bioclastic (shallow, warm, normal marine shelf deposits); (2) micrite (suggesting quiet, low-energy conditions such as may have existed in a well-protected lagoon); (3) dasycladacean (very shallow, normal marine environment); (4) bioclastic (very shallow, normal marine environment with moderate to vigorous energy); (5) mgal (very shallow, normal marine environment in a shelf lagoon); (6) pelletal-skeletal (deposition within slightly agitated waters of a sheltered lagoon with restricted circulation); (7) dolomicrite (fenestrate structures indicating a high intertidal environment of deposition); and (8) anhydrite (supratidal environment). The Paleocene suite of the Farrud lithofacies generally shows a prograding, regressive sequence of three facies: (1) supratidal facies, characterized by nonfossiliferous anhydrite, dolomite, and dolomitic pelletal carbonate mudstone; (2) intertidal to very shallow subtidal facies, characterized by fossiliferous, pelletal, carbonate mudstone and skeletal calcarenite; and (3) subtidal facies, characterized by a skeletal, pelletal, carbonate mudstone. Source rocks were primarily organic-rich shales overlying the Farrud reservoir rock. Porosity and permeability were developed in part by such processes as dolomitization, leaching, and fracturing in the two progradational, regressive carbonate facies. Hydrocarbons were trapped by a supratidal, anhydrite cap rock.
Validi, AbdoulAhad, E-mail: validiab@msu.edu
2014-03-01T23:59:59.000Z
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.
A Visual Analytics Approach for Correlation, Classification, and Regression Analysis
Steed, Chad A [ORNL; SwanII, J. Edward [Mississippi State University (MSU); Fitzpatrick, Patrick J. [Mississippi State University (MSU); Jankun-Kelly, T.J. [Mississippi State University (MSU)
2012-02-01T23:59:59.000Z
New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today's increasing complex, multivariate data sets. In this paper, a novel visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that addresses the challenges of today's data by combining automated statistical analytics with a highly interactive parallel coordinates based canvas. In addition to several intuitive interaction capabilities, this framework offers a rich set of graphical statistical indicators, interactive regression analysis, visual correlation mining, automated axis arrangements and filtering, and data classification techniques. The current work provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.
Efficient Estimation in a Regression Model with Missing Responses
Crawford, Scott
2012-10-19T23:59:59.000Z
function for the linear regression model where r#(X) = #>X is b( i; Xi; i) = E h fX E(Xj = 1)gl( ) + E(Xj = 1) 2 i n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o> 1 i n [Xi E(Xj = 1)]l( i) + E(Xj = 1) i 2 o : Proof: Assuming r#(X...) = #>X then _r#(X) = X, and Equation 2.2 becomes ( i; Xi; i) = fX E[Xj = 1]g l( i) + E[Xj = 1] i 2 : The e cient in uence function from Equation 2.3 is b( i; Xi; i) = E n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o n [X E(Xj = 1)]l( ) + E...
Slatton, Clint
function (SDF) is proposed. The SDF is a well known 2- D correlation filter for object recognition. The proposed non- linear version of the SDF is derived from kernel-based lear- ning. The kernel SDF the performance of the linear SDF by incorporating the image's class higher order moments. We show that this ker
Tsang Wai Hung "Ivor"
/11 A Family of Simple Non-Parametric Kernel Learning Algorithms Jinfeng Zhuang ZHUA0016@NTU.EDU.SG Ivor W. Tsang IVORTSANG@NTU.EDU.SG Steven C.H. Hoi CHHOI@NTU.EDU.SG School of Computer Engineering Nanyang results. Therefore, the choice of an effective kernel plays a crucial role in many kernel based machine
Fusion Algebras Induced by Representations of the Modular Group
W. Eholzer
1992-11-27T23:59:59.000Z
Using the representation theory of the subgroups SL_2(Z_p) of the modular group we investigate the induced fusion algebras in some simple examples. Only some of these representations lead to 'good' fusion algebras. Furthermore, the conformal dimensions and the central charge of the corresponding rational conformal field theories are calculated. Two series of representations which can be realized by unitary theories are presented. We show that most of the fusion algebras induced by admissible representations are realized in well known rational models.
An Investigation of Subword Unit Representations for Spoken Document Retrieval
An Investigation of Subword Unit Representations for Spoken Document Retrieval Kenney Ng and Victor W. Zue Spoken Language Systems Group MIT Laboratory for Computer Science 545 Technology Square
Styles of Political Representation: What do Voters Expect?
Bengtsson, Åsa; Wass, Hanna
2009-01-01T23:59:59.000Z
politics. Scandinavian Political Studies 9 (3): 279-90.Holmberg, Sören. (1989) Political representation in Sweden.Scandinavian Political Studies 12 Inglehart, Ronald. (2007)
Non-standard Schwinger fermionic representation of unitary group
Fu-Lin Zhang; Jing-Ling Chen
2008-01-09T23:59:59.000Z
The non-standard Schwinger fermionic representation of the unitary group is studied by using $n$-fermion operators. One finds that the Schwinger fermionic representation of the U(n) group is not unique when $n\\ge 3$. In general, based on $n$-fermion operators, the non-standard Schwinger fermionic representation of the U(n) group can be established in a uniform approach, where all the generators commute with the total number operators. The Schwinger fermionic representation of $U(C^{m}_{n})$ group is also discussed.
REPRESENTATION THEORY An Electronic Journal of the American Mathematical Society
Jantzen, Chris
of TadiÂ´c (cf. [Tad1], [Tad2], [Tad3]) on the use of Jacquet modules in analyzing induced representations
Nicholas G Phillips; B. L. Hu
2002-09-17T23:59:59.000Z
In Paper II [N. G. Phillips and B. L. Hu, previous abstract] we presented the details for the regularization of the noise kernel of a quantum scalar field in optical spacetimes by the modified point separation scheme, and a Gaussian approximation for the Green function. We worked out the regularized noise kernel for two examples: hot flat space and optical Schwarzschild metric. In this paper we consider noise kernels for a scalar field in the Schwarzschild black hole. Much of the work in the point separation approach is to determine how the divergent piece conformally transforms. For the Schwarzschild metric we find that the fluctuations of the stress tensor of the Hawking flux in the far field region checks with the analytic results given by Campos and Hu earlier [A. Campos and B. L. Hu, Phys. Rev. D {\\bf 58} (1998) 125021; Int. J. Theor. Phys. {\\bf 38} (1999) 1253]. We also verify Page's result [D. N. Page, Phys. Rev. {\\bf D25}, 1499 (1982)] for the stress tensor, which, though used often, still lacks a rigorous proof, as in his original work the direct use of the conformal transformation was circumvented. However, as in the optical case, we show that the Gaussian approximation applied to the Green function produces significant error in the noise kernel on the Schwarzschild horizon. As before we identify the failure as occurring at the fourth covariant derivative order.
Growth of Hereford-Kedah Kelantan calves fed oil palm fronds and palm kernel cake based diet
Paris-Sud XI, UniversitÃ© de
Growth of Hereford-Kedah Kelantan calves fed oil palm fronds and palm kernel cake based diet I Lumpur, Malaysia Being one of the world's leading producers of palm oil, Malaysia has a total of two million hectares of land under oil palm cultivation. The palm oil mills yield a number of by
RTK-Spec TRON: A Simulation Model of an ITRON Based RTOS Kernel in SystemC
Hassan, M Abdelsalam; Takeuchi, Yoshinori; Imai, Masaharu
2011-01-01T23:59:59.000Z
This paper presents the methodology and the modeling constructs we have developed to capture the real time aspects of RTOS simulation models in a System Level Design Language (SLDL) like SystemC. We describe these constructs and show how they are used to build a simulation model of an RTOS kernel targeting the $\\mu$-ITRON OS specification standard.
The Econometric Analysis of Interval-valued Data and Adaptive Regression Splines
Lin, Wei
2013-01-01T23:59:59.000Z
and Miller, D. (2000). Econometric Foundations. CambridgeRegression Models,” Econometric Reviews. Vol. 8, pp. 217-De- pendent Bootstrap,” Econometric Reviews. Vol. 23, pp.
Representations of the groups of order 24
Strange, John Billy
1967-01-01T23:59:59.000Z
'y 0 1 0 0 0 1 z z 1 0 0 x m g22 ~ ( x, y-x, z) -1 1 0 y = y-x 0 0 1 z z a( 1, -1, 0) 0 1 0 1 0 0 0 0 1 x y z z g3 (y? ) 24 1 -1 0 0 -1 0 0 0 1 z z g24- (x-X -V g. O 2W ~RI 3 g3 JR I a' i6 L t 5 y Jt 9 l3 Figure 3. Six... in the representation tables are the exponents of m in k cos kn/12 + i sin k&/12. CAYLEY TABLE FOR GROUP NUHBER 2 3 10 ll 3 11 12 1 2 12 10 7 8 9 10 11 12 4 5 8 9 7 lj 12 10 5 6 9 7 8 12 10 ll 6 4 10 jl 12 7 11 12 10 8 12 10...
Holographic Representation of Higher Spin Gauge Fields
Debajyoti Sarkar; Xiao Xiao
2014-11-17T23:59:59.000Z
Extending the results of \\cite{Heem}, \\cite{KLRS} on the holographic representation of local gauge field operators in anti de Sitter space, here we construct the bulk operators for higher spin gauge fields in the leading order of $\\frac{1}{N}$ expansion. Working in holographic gauge for higher spin gauge fields, we show that gauge field operators with integer spin $s>1$ can be represented by an integration over a ball region, which is the interior region of the spacelike bulk lightcone on the boundary. The construction is shown to be AdS-covariant up to gauge transformations, and the two-point function between higher spin gauge fields and boundary higher spin current exhibit singularities on both bulk and boundary lightcones. We also comment on possible extension to the level of three-point functions and carry out a causal construction for higher spin fields in de Sitter spacetime.
The representation theory of cyclotomic BMW algebras
Rui, H
2008-01-01T23:59:59.000Z
In this paper, we go on Rui-Xu's work on cyclotomic Birman-Wenzl algebras $\\W_{r, n}$ in \\cite{RX}. In particular, we use the representation theory of cellular algebras in \\cite{GL} to classify the irreducible $\\W_{r, n}$-modules for all positive integers $r$ and $n$. By constructing cell filtrations for all cell modules of $\\W_{r, n}$, we compute the discriminants associated to all cell modules for $\\W_{r, n} $. Via such discriminats together with induction and restriction functors given in section~5, we determine explicitly when $\\W_{r, n}$ is semisimple over a field. This generalizes our previous result on Birman-Wenzl algebras in \\cite{RS1}.
Kernel polynomial method for a nonorthogonal electronic-structure calculation of amorphous diamond
Roeder, H.; Silver, R.N. [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Drabold, D.A.; Dong, J.J. [Department of Physics and Astronomy, Condensed Matter and Surface Science Program, Ohio University, Athens, Ohio 45701 (United States)
1997-06-01T23:59:59.000Z
The Kernel polynomial method (KPM) has been successfully applied to tight-binding electronic-structure calculations as an O(N) method. Here we extend this method to nonorthogonal basis sets with a sparse overlap matrix {bold S} and a sparse Hamiltonian {bold H}. Since the KPM method utilizes matrix vector multiplications it is necessary to apply {bold S}{sup {minus}1}{bold H} onto a vector. The multiplication of {bold S}{sup {minus}1} is performed using a preconditioned conjugate-gradient method and does not involve the explicit inversion of {bold S}. Hence the method scales the same way as the original KPM method, i.e., O(N), although there is an overhead due to the additional conjugate-gradient part. We apply this method to a large scale electronic-structure calculation of amorphous diamond. {copyright} {ital 1997} {ital The American Physical Society}
Estimating the Bias of Local Polynomial Approximation Methods Using the Peano Kernel
Blair, J.; Machorro, E.; Luttman, A.
2013-03-01T23:59:59.000Z
The determination of uncertainty of an estimate requires both the variance and the bias of the estimate. Calculating the variance of local polynomial approximation (LPA) estimates is straightforward. We present a method, using the Peano Kernel Theorem, to estimate the bias of LPA estimates and show how this can be used to optimize the LPA parameters in terms of the bias-variance tradeoff. Figures of merit are derived and values calculated for several common methods. The results in the literature are expanded by giving bias error bounds that are valid for all lengths of the smoothing interval, generalizing the currently available asymptotic results that are only valid in the limit as the length of this interval goes to zero.
Power and Torque Characteristics of Diesel Engine Fuelled by Palm-Kernel Oil Biodiesel
Oguntola J Alamu; Ezra A Adeleke; Nurudeen O. Adekunle; Salam O; Oguntola J Alamu; Ezra A Adeleke; Nurudeen O Adekunle; Salam O Ismaila
Short-term engine performance tests were carried out on test diesel engine fuelled with Palm kernel oil (PKO) biodiesel. The biodiesel fuel was produced through transesterification process using 100g PKO, 20.0 % ethanol (wt%), 1.0 % potassium hydroxide catalyst at 60°C reaction temperature and 90min. reaction time. The diesel engine was attached to a general electric dynamometer. Torque and power delivered by the engine were monitored throughout the 24-hour test duration at 1300, 1500, 1700, 2000, 2250 and 2500rpm. At all engine speeds tested, results showed that torque and power outputs for PKO biodiesel were generally lower than those for petroleum diesel. Also, Peak torque for PKO biodiesel occurred at a lower engine speed compared to diesel.
An Ontology for Semantic Representation of an Urban Virtual Environment
Paris-Sud XI, Université de
An Ontology for Semantic Representation of an Urban Virtual Environment K. Harkouken Saiah1, N of semantic representation of a dynamic virtual environment. Our model is embodied into a simulation with the semantic state of their environment. The idea is to represent the services offered by the environment
An alternative proof of the Bryant representation Jose A. Galveza
GÃ¡lvez, JosÃ© Antonio
An alternative proof of the Bryant representation JosÂ´e A. GÂ´alveza and Pablo Mirab a Departamento Keywords: constant mean curvature, Bryant surfaces, Liouville equation. 1 Introduction In his famous 1987 paper, R. Bryant [Bry] established a meromorphic representation for the surfaces with constant mean
Combining Document Representations for Known-Item Search
Callan, Jamie
This paper investigates the pre-conditions for successful combination of document representations formed from representations. There has been extensive work on studying the effectiveness of meta-search and the conditions for success [5][14][19]. Aslam and Montague [1] summarize this work by stating: "The systems being combined
UCPNetworks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier
Brafman, Ronen
UCPÂNetworks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier@cs.bgu.ac.il Abstract We propose a directed graphical representation of utilÂ ity functions, called UCPÂnetworks. The network deÂ composes a utility function into a number of additive factors, with the directionality
Infrared regular representation of the three dimensional massless Nelson model
Infrared regular representation of the three dimensional massless Nelson model J#19;ozsef L this Gaussian measure space. KEYWORDS: Nelson's scalar #12;eld model, infrared regular representation, ground] of a spinless electron coupled to a scalar massless Bose #12;eld is infrared divergent in 3 space dimensions
Decomposition of Representations of CAR Induced by Bogoliubov Endomorphisms
Jens B{ö}ckenhauer
1994-10-04T23:59:59.000Z
In a Fock representation, a non-surjective Bogoliubov transformation of CAR leads to a reducible representation. For the case that the corresponding Bogoliubov operator has finite corank, the decomposition into irreducible subrepresentations is clarified. In particular, it turns out that the number of appearing subrepresentations is completely determined by the corank.
Representation Systems and Undergraduate Proof Production: A Comment on Weber
Inglis, Matthew
Representation Systems and Undergraduate Proof Production: A Comment on Weber Lara Alcock & Matthew proof production occurs when much of the prover's work takes place [outside] the representation system systems involved in undergraduate proof production. We discuss these issues further below. However, we
A CLASS OF ESSENTIAL REPRESENTATIONS OF PRODUCT SYSTEMS
Argerami, Martin
A CLASS OF ESSENTIAL REPRESENTATIONS OF PRODUCT SYSTEMS REMUS FLORICEL Abstract. We construct a family of essential representations of an arbitrary product system by generalizing some techniques intro of the product system on unital vectors. In the sequel, this classification shows explicitly that any E0
Wigner representation of the rotational dynamics of rigid tops
Dmitry V. Zhdanov; Tamar Seideman
2014-06-15T23:59:59.000Z
We propose the general methodology to design the Wigner representations with the desired dynamical and semiclassical properties in the phase spaces with nontrivial topology. As an illustration, two representations of molecular rotations are developed to suit the computational demands of contemporary applications of laser alignment, diagnostics of reaction dynamics, studies of scattering and dissipative processes.
Using Graphical Representations to Support the Calculation of Infusion Parameters
Subramanian, Sriram
Using Graphical Representations to Support the Calculation of Infusion Parameters Sandy J. J. Gould in which participants were asked to solve a num- ber of infusion parameter problems that were represented representations transfer to actual workplace settings. Keywords: Graphical reasoning, infusion pumps, re
Infinite Dimensional Port Hamiltonian Representation of Chemical Reactors
Paris-Sud XI, UniversitÃ© de
Infinite Dimensional Port Hamiltonian Representation of Chemical Reactors W. Zhou B. Hamroun Y.le.gorrec@ens2m.fr) Abstract: Infinite dimensional Port Hamiltonian representation of non isothermal chemical: Port Hamiltonian Systems, Distributed Systems, Irreversible Thermodynamics 1. INTRODUCTION Models
Collins, J.L.
2004-12-02T23:59:59.000Z
The main objective of the Depleted UO{sub 2} Kernels Production Task at Oak Ridge National Laboratory (ORNL) was to conduct two small-scale production campaigns to produce 2 kg of UO{sub 2} kernels with diameters of 500 {+-} 20 {micro}m and 3.5 kg of UO{sub 2} kernels with diameters of 350 {+-} 10 {micro}m for the U.S. Department of Energy Advanced Fuel Cycle Initiative Program. The final acceptance requirements for the UO{sub 2} kernels are provided in the first section of this report. The kernels were prepared for use by the ORNL Metals and Ceramics Division in a development study to perfect the triisotropic (TRISO) coating process. It was important that the kernels be strong and near theoretical density, with excellent sphericity, minimal surface roughness, and no cracking. This report gives a detailed description of the production efforts and results as well as an in-depth description of the internal gelation process and its chemistry. It describes the laboratory-scale gel-forming apparatus, optimum broth formulation and operating conditions, preparation of the acid-deficient uranyl nitrate stock solution, the system used to provide uniform broth droplet formation and control, and the process of calcining and sintering UO{sub 3} {center_dot} 2H{sub 2}O microspheres to form dense UO{sub 2} kernels. The report also describes improvements and best past practices for uranium kernel formation via the internal gelation process, which utilizes hexamethylenetetramine and urea. Improvements were made in broth formulation and broth droplet formation and control that made it possible in many of the runs in the campaign to produce the desired 350 {+-} 10-{micro}m-diameter kernels, and to obtain very high yields.
Virasoro representations and fusion for general augmented minimal models
Holger Eberle; Michael Flohr
2006-04-13T23:59:59.000Z
In this paper we present explicit results for the fusion of irreducible and higher rank representations in two logarithmically conformal models, the augmented c_{2,3} = 0 model as well as the augmented Yang-Lee model at c_{2,5} = -22/5. We analyse their spectrum of representations which is consistent with the symmetry and associativity of the fusion algebra. We also describe the first few higher rank representations in detail. In particular, we present the first examples of consistent rank 3 indecomposable representations and describe their embedding structure. Knowing these two generic models we also conjecture the general representation content and fusion rules for general augmented c_{p,q} models.
Quadratic integer programming and a technique for selection of regression coefficients
Coward, James Michael
1966-01-01T23:59:59.000Z
. . ~. . . ~. . . . . . . . . 1 Programming Problems. Linear Programming. Non-Linear Programming. Integer Linear Programming. Quadratic Integer Programming . kpplication in Statistics 1 2 6 7 II. QUADRATIC INTEGER PROGRAMMING. . . . . . . 9 Formulation of the Quadratic... Integer Programming Problem. The Kunsi-Oettli Algorithm. Theoretical Development Numerical Examples. 9 1$ 15 21 III. ~ICATION IN REGRESSION JQIMYSIS. Formulation of the Regression Problem . . . $0 Conclusions . . . . . . . . . . . . . . . 55...
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
Low, Steven H.
. Furthermore, un- like the Lasso, the Elastic Net can yield a sparse esti- mate with more than n non-zero477 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net Alexander to regression regulariza- tion called the Pairwise Elastic Net is pro- posed. Like the Elastic Net, it simultane
PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression
Popeea, Corneliu - Chair for Foundations of Software Reliability and Theoretical Computer Science
PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression · Lineares Modell · Vom-Netze Regression #12;PD Dr. Martin Stetter, Siemens AG 2 Das lineare Modell · Ausgangspunkt: Lineares Perceptron vorgegeben, werden nicht gelernt #12;PD Dr. Martin Stetter, Siemens AG 3 · Geschrieben als Regressionsmodell
Mohanty, Saraju P.
Fast Optimization of Nano-CMOS Voltage-Controlled Oscillator using Polynomial Regression in a current-starved 50nm voltage-controlled oscillator (VCO). Accurate polynomial-regression based models have-CMOS), Voltage-Controlled Oscillator (VCO). 1. Introduction Digital design exploration and optimization is highly
TR-09-09: Regression Testing Minimisation, Selection and Prioritisation -A Survey
Singer, Jeremy
TR-09-09: Regression Testing Minimisation, Selection and Prioritisation - A Survey Shin Yoo & Mark Harman Centre for Research on Evolution, Search & Testing King's College London Strand, London, WC2R 2LS, UK October 26, 2009 Abstract Regression testing is a testing activity that is performed to provide
Why You Should Care About Quantile Regression Augusto Born de Oliveira
Tomkins, Andrew
demonstrate the successful application of quantile regression, a recent development in statistics, to computer, with the additional benefit of be- ing applicable to data from any distribution. This property makes it especially Evaluation, ANOVA, Quantile Regression 1. Introduction Both academia and industry use performance evaluation
Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses
Salvaggio, Carl
Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses by David Title of Thesis: Gas Plume Species Identification in LWIR Hyperspectral Imagery by Regression Analyses I in whole or in part. Any reproduction will not be for commercial use or profit. Signature Date ii #12;Gas
Human Responses to Climate Change: Social Representation, Identity and Socio-Psychological Action
Royal Holloway, University of London
and methodological approaches. Keywords: climate change; communication; social representation; identity; social representations and applies them to the issue of climate change communication, focusing in particularHuman Responses to Climate Change: Social Representation, Identity and Socio- Psychological Action
Continuous representation for shell models of turbulence
Alexei A. Mailybaev
2014-09-16T23:59:59.000Z
In this work we construct and analyze continuous hydrodynamic models in one space dimension, which are induced by shell models of turbulence. After Fourier transformation, such continuous models split into an infinite number of uncoupled subsystems, which are all identical to the same shell model. The two shell models, which allow such a construction, are considered: the dyadic (Desnyansky--Novikov) model with the intershell ratio $\\lambda = 2^{3/2}$ and the Sabra model of turbulence with $\\lambda = \\sqrt{2+\\sqrt{5}} \\approx 2.058$. The continuous models allow understanding various properties of shell model solutions and provide their interpretation in physical space. We show that the asymptotic solutions of the dyadic model with Kolmogorov scaling correspond to the shocks (discontinuities) for the induced continuous solutions in physical space, and the finite-time blowup together with its viscous regularization follow the scenario similar to the Burgers equation. For the Sabra model, we provide the physical space representation for blowup solutions and intermittent turbulent dynamics.
Graph representation of protein free energy landscape
Li, Minghai; Duan, Mojie; Fan, Jue; Huo, Shuanghong, E-mail: shuo@clarku.edu [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States); Han, Li [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)
2013-11-14T23:59:59.000Z
The thermodynamics and kinetics of protein folding and protein conformational changes are governed by the underlying free energy landscape. However, the multidimensional nature of the free energy landscape makes it difficult to describe. We propose to use a weighted-graph approach to depict the free energy landscape with the nodes on the graph representing the conformational states and the edge weights reflecting the free energy barriers between the states. Our graph is constructed from a molecular dynamics trajectory and does not involve projecting the multi-dimensional free energy landscape onto a low-dimensional space defined by a few order parameters. The calculation of free energy barriers was based on transition-path theory using the MSMBuilder2 package. We compare our graph with the widely used transition disconnectivity graph (TRDG) which is constructed from the same trajectory and show that our approach gives more accurate description of the free energy landscape than the TRDG approach even though the latter can be organized into a simple tree representation. The weighted-graph is a general approach and can be used on any complex system.
Vargas Verdesoto, Milton X. [Centro Oncologico de Chihuahua, Hacienda de la Esperanza 6304, Chihuahua, Chihuahua (Mexico); Alvarez Romero, Jose T. [SSDL, Departamento de Metrologia de Radiaciones Ionizantes, Instituto Nacional de Investigaciones Nucleares, La Marquesa, Ocoyoacac, Estado de Mexico 52750 (Mexico)
2010-12-07T23:59:59.000Z
A planar multienergetic pencil beam kernel with rotational symmetry is calculated for a stereotactic radiosurgery system, SRS, BrainLAB with cones, employing the deconvolution method of the off axis ratio profile, OAR, corresponding to the cone of 35 mm in diameter for a 6 MV photon beam produced by a linear accelerator Varian 2100 C/D. Before the deconvolution, the experimental OAR is corrected for beam divergence and variations of the spectral fluence {Phi}, using a boundary function BF. The function BF and the fluence {Phi} are transformed to the conjugate space with the zero order Hankel function, which is the appropriate transform due to the radial symmetry of the circular beams generated by the cones. The kernel in the conjugate space is obtained as the ratio of the transform of BF to the transform of {Phi}, therefore the kernel in the real space is calculated as the inverse transform of the kernel in the conjugate space. To validate the kernel in the real space, it is convolved with the fluence of the cones of 7.5, 12.5, 15, 17.5, 20, 22.5, 25, 30 and 35 mm in diameter. The comparison of the OARs calculated and measured shows a maximum difference of 4.5% in the zones of high gradient of dose, and a difference less than 2% in the regions of low gradient of dose. Finally, the expanded uncertainty of the kernel is estimated and reported.
Representation and compression of multidimensional piecewise functions using surflets
Chandrasekaran, Venkat
We study the representation, approximation, and compression of functions in M dimensions that consist of constant or smooth regions separated by smooth (M-1)-dimensional discontinuities. Examples include images containing ...
Incorporating Representation of Agricultural Ecosystems and Management Within IBIS
Incorporating Representation of Agricultural Ecosystems and Management Within IBIS: The development of Agro-IBIS Chris Kucharik Department of Agronomy & Center for Sustainability and the Global Environment balance Soil and canopy physics Leaf physiology Minutes Phenology Budburst, senescence, dormancy Daily
Free energy differences : Representations, estimators, and sampling strategies
Acharya, Arjun R
In this thesis we examine methodologies for determining free energy differences (FEDs) of phases via Monte Carlo simulation. We identify and address three generic issues that arise in FED calculations; the choice of representation, the choice...
Using graphical representation of user interfaces as visual references
Zhang, Zongxiang
2012-01-01T23:59:59.000Z
My thesis investigates using a graphical representation of user interfaces - screenshots - as a direct visual reference to support various kinds of applications. We have built several systems to demonstrate and validate ...
Stochastic Roadmap Simulation: Efficient Representation and Algorithms for
Brutlag, Doug
Stochastic Roadmap Simulation: Efficient Representation and Algorithms for the Analysis Roadmap Simulation (SRS) #12;Stochastic Roadmap Simulation (SRS) Multiple paths at once; #12;Stochastic Roadmap Simulation (SRS) Multiple paths at once; No local minimum problem; #12;Stochastic Roadmap
The Role of Knowledge in Visual Shape Representation
Saund, Eric
1988-10-01T23:59:59.000Z
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. ...
Topological conditions for the representation of preorders by continuous utilities
E. Minguzzi
2011-12-13T23:59:59.000Z
We remove the Hausdorff condition from Levin's theorem on the representation of preorders by families of continuous utilities. We compare some alternative topological assumptions in a Levin's type theorem, and show that they are equivalent to a Polish space assumption.
Crossdressing Cinema: An Analysis of Transgender Representation in Film
Miller, Jeremy Russell
2012-10-19T23:59:59.000Z
representation as a tendency to present a consistent, homogenous whole. Only through an awareness of difference can the power that comes from marginalizing others be removed.1 Similar to Hall and Lorde, communication scholars Victoria De...
Karhunen-Loeve representation of stochastic ocean waves
Sclavounos, Paul D.
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. ...
A PROPOSITIONAL REPRESENTATION MODEL OF ANATOMICAL AND FUNCTIONAL BRAIN DATA
Paris-Sud XI, UniversitÃ© de
A PROPOSITIONAL REPRESENTATION MODEL OF ANATOMICAL AND FUNCTIONAL BRAIN DATA Pablo MATURANA as a methodological tool to examine brain network organization, topology and complex dynamics, as well brain data and neuropsychological assessments linked to the functions explored in these assessments
On the Representation of Physical Quantities in Natural Language Text
Forbus, Kenneth D.
On the Representation of Physical Quantities in Natural Language Text Sven E. Kuehne (skuehne processes from natural language text. In an earlier analysis (Kuehne & Forbus, 2002) we presented a scheme
Surface Dependent Representations for Illumination Insensitive Image Comparison
Lindenbaum, Michael
. Lighting variation significantly affects surface appearance and makes image comparison difficultSurface Dependent Representations for Illumination Insensitive Image Comparison Margarita Osadchy the problem of matching images to tell whether they come from the same scene viewed under different lighting
Abstract versus exemplar memory representations: the role of contextual interference
Johnson, Jennifer Linnea
1998-01-01T23:59:59.000Z
of memory representations, and to try and replicate the findings of Chamberlin and Magill (1992b). Both experiments required the participants to perform 297 trials per day, of three separate tasks, for four consecutive days, followed by a retention...
Generating Tensor Representation from Concept Tree in Meaning Based Search
Panigrahy, Jagannath
2011-08-08T23:59:59.000Z
to a representation that can be stored and compared efficiently on computers. Meaning of objects can be adequately captured in terms of a hierarchical composition structure called concept tree. This thesis describes the design and development...
Containing the opposition : selective representation in Jordan and Turkey
Wakeman, Raffaela Lisette
2009-01-01T23:59:59.000Z
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 ...
Fast quantum algorithms for approximating some irreducible representations of groups
Stephen P. Jordan
2009-04-21T23:59:59.000Z
We consider the quantum complexity of estimating matrix elements of unitary irreducible representations of groups. For several finite groups including the symmetric group, quantum Fourier transforms yield efficient solutions to this problem. Furthermore, quantum Schur transforms yield efficient solutions for certain irreducible representations of the unitary group. Beyond this, we obtain poly(n)-time quantum algorithms for approximating matrix elements from all the irreducible representations of the alternating group A_n, and all the irreducible representations of polynomial highest weight of U(n), SU(n), and SO(n). These quantum algorithms offer exponential speedup in worst case complexity over the fastest known classical algorithms. On the other hand, we show that average case instances are classically easy, and that the techniques analyzed here do not offer a speedup over classical computation for the estimation of group characters.
Economic Representation of Agricultural Activities in Water Resources Systems Engineering
Lund, Jay R.
i Economic Representation of Agricultural Activities in Water Resources Systems Engineering. #12;iii Guilherme Fernandes Marques January 2004 Civil and Environmental Engineering Economic of DOCTOR OF PHILOSOPHY in Engineering in the OFFICE OF GRADUATE STUDIES of the UNIVERSITY OF CALIFORNIA
Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles
Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila
2009-06-28T23:59:59.000Z
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.
Quasi-representations of Finsler modules over C*-algebras
Amyari, M; Moslehian, M S
2012-01-01T23:59:59.000Z
We aim to show that every Finsler module over a $C^*$-algebra has a quasi-representation into the Banach space $\\mathbb{B}(\\mathscr{H},\\mathscr{K})$ of all bounded linear operators between some Hilbert spaces $\\mathscr{H}$ and $\\mathscr{K}$. We then apply our results to establish a Stinespring type theorem in the framework of Finsler $C^*$-modules. We also investigate the nondegeneracy and the irreducibility of quasi-representations.
Using functional representation in the reducing ATPG search
Bauerschmidt, Brian James
2012-06-07T23:59:59.000Z
USING FUNCTIONAL REPRESENTATION IN REDUCING ATPG SEARCH A Thesis by BRIAN JAMES BAUERSCHMIDT Submitted to the Oflice of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... December 1993 Major Subject: Electrical Engineering USING FUNCTIONAL REPRESENTATION IN REDUCING ATPG SEARCH A Thesis by BRIAN JAMES BAUERSCHMIDT Submitted to Texas ARM University in partial fulfillment of the requirements for the degree of MASTER...
Optical Spectral Observations of a Flickering White-Light Kernel in a C1 Solar Flare
Kowalski, Adam F; Fletcher, Lyndsay
2014-01-01T23:59:59.000Z
We analyze optical spectra of a two-ribbon, long duration C1.1 flare that occurred on 18 Aug 2011 within AR 11271 (SOL2011-08-18T15:15). The impulsive phase of the flare was observed with a comprehensive set of space-borne and ground-based instruments, which provide a range of unique diagnostics of the lower flaring atmosphere. Here we report the detection of enhanced continuum emission, observed in low-resolution spectra from 3600 \\AA\\ to 4550 \\AA\\ acquired with the Horizontal Spectrograph at the Dunn Solar Telescope. A small, $\\le$0''.5 ($10^{15}$ cm$^2$) penumbral/umbral kernel brightens repeatedly in the optical continuum and chromospheric emission lines, similar to the temporal characteristics of the hard X-ray variation as detected by the Gamma-ray Burst Monitor (GBM) on the Fermi spacecraft. Radiative-hydrodynamic flare models that employ a nonthermal electron beam energy flux high enough to produce the optical contrast in our flare spectra would predict a large Balmer jump in emission, indicative of h...
CHARACTERISTIC SIZE OF FLARE KERNELS IN THE VISIBLE AND NEAR-INFRARED CONTINUA
Xu, Yan; Jing, Ju; Wang, Haimin [Space Weather Research Lab, Center for Solar-Terrestrial Research, New Jersey Institute of Technology, 323 Martin Luther King Blvd, Newark, NJ 07102-1982 (United States); Cao, Wenda, E-mail: yx2@njit.edu [Big Bear Solar Observatory, Center for Solar-Terrestrial Research, New Jersey Institute of Technology, 323 Martin Luther King Blvd, Newark, NJ 07102-1982 (United States)
2012-05-01T23:59:59.000Z
In this Letter, we present a new approach to estimate the formation height of visible and near-infrared emission of an X10 flare. The sizes of flare emission cores in three wavelengths are accurately measured during the peak of the flare. The source size is the largest in the G band at 4308 A and shrinks toward longer wavelengths, namely the green continuum at 5200 A and NIR at 15600 A, where the emission is believed to originate from the deeper atmosphere. This size-wavelength variation is likely explained by the direct heating model as electrons need to move along converging field lines from the corona to the photosphere. Therefore, one can observe the smallest source, which in our case is 0.''65 {+-} 0.''02 in the bottom layer (represented by NIR), and observe relatively larger kernels in upper layers of 1.''03 {+-} 0.''14 and 1.''96 {+-} 0.''27, using the green continuum and G band, respectively. We then compare the source sizes with a simple magnetic geometry to derive the formation height of the white-light sources and magnetic pressure in different layers inside the flare loop.
Representations of the $SU(N)$ $T$-algebra and the loop representation in $1+1$-dimensions
J. Hallin
1993-12-07T23:59:59.000Z
We consider the phase-space of Yang-Mills on a cylindrical space-time ($S^1 \\times {\\bf R}$) and the associated algebra of gauge-invariant functions, the $T$-variables. We solve the Mandelstam identities both classically and quantum-mechanically by considering the $T$-variables as functions of the eigenvalues of the holonomy and their associated momenta. It is shown that there are two inequivalent representations of the quantum $T$-algebra. Then we compare this reduced phase space approach to Dirac quantization and find it to give essentially equivalent results. We proceed to define a loop representation in each of these two cases. One of these loop representations (for $N=2$) is more or less equivalent to the usual loop representation.
Katipamula, S.; Reddy, T. A.; Claridge, D. E.
1994-01-01T23:59:59.000Z
from energy conserving retrofits. The regression modeling approach is accurate and reliable if several months of data (more than six months) are used to develop the model. If such is not the case, the regression models can, unfortunately, lead...
Reddy, T. A.; Claridge, D.; Wu, J.
analysis to identify these models. However, such models tend to suffer from physically unreasonable regression coefficients and instability due to the fact that the predictor variables (i.e., climatic parameters, building internal loads, etc...
Regression Based Investigation of Pumping Limits and Springflow Within the Edwards Aquifer
McCarl, Bruce A.
Regression Based Investigation of Pumping Limits and Springflow Within the Edwards Aquifer K . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 A Model to Study the Effects of Pumping Limits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Investigation of the Effects of Pumping Allocations on Springflow
PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression
Popeea, Corneliu - Chair for Foundations of Software Reliability and Theoretical Computer Science
PD Dr. Martin Stetter, Siemens AG 1 Neuronale Verfahren zur Regression · Lineares Modell · Vom: Optimierungsverfahren #12;PD Dr. Martin Stetter, Siemens AG 2 Optimierung konvexer Funktionen · Häufiges Problem bei
Mining customer credit by using neural network model with logistic regression approach
Kao, Ling-Jing
2001-01-01T23:59:59.000Z
. The objective of this research was to investigate the methodologies to mine customer credit history for the bank industry. Particularly, combination of logistic regression model and neural network technique are proposed to determine if the predictive capability...
A regression approach to infer electricity consumption of legacy telecom equipment
Fisher, Kathleen
A regression approach to infer electricity consumption of legacy telecom equipment [Extended and communications technology accounts for a significant fraction of worldwide electricity consumption. Given inferring the electricity consumption of different components of the installed base of telecommu- nications
Modeling Personalized Email Prioritization: Classification-based and Regression-based Approaches
Yoo S.; Yang, Y.; Carbonell, J.
2011-10-24T23:59:59.000Z
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.
Forrest, Timothy Lee
2007-04-25T23:59:59.000Z
This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...
New Approaches in Testing Common Assumptions for Regressions with Missing Data
Chown, Justin Andrew
2014-07-30T23:59:59.000Z
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2.... EFFICIENTLY ESTIMATING THE ERROR DISTRIBUTION IN NON- PARAMETRIC REGRESSION WITH RESPONSES MISSING AT RAN- DOM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1 Efficiency...
Preacher, K. J.; Curran, Patrick J.; Bauer, D. J.
2007-04-09T23:59:59.000Z
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel ...
The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure
Duin, Robert P.W.
Â´ia (Ingeominas), Colombia jmakario@ingeominas.gov.co Abstract. The dissimilarity representation has demonstrated
WILD ALGEBRAS HAVE ONE-POINT EXTENSIONS OF REPRESENTATION DIMENSION AT LEAST FOUR
Oppermann, Steffen
WILD ALGEBRAS HAVE ONE-POINT EXTENSIONS OF REPRESENTATION DIMENSION AT LEAST FOUR STEFFEN OPPERMANN Abstract. We show that any wild algebra has a one-point exten- sion of representation dimension at least between tame and wild representation type is another way of saying "how infinite" the representation
Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors
Sarkar, Abhra
2014-06-24T23:59:59.000Z
BAYESIAN SEMIPARAMETRIC DENSITY DECONVOLUTION AND REGRESSION IN THE PRESENCE OF MEASUREMENT ERRORS A Dissertation by ABHRA SARKAR Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment... Copyright 2014 Abhra Sarkar ABSTRACT Although the literature on measurement error problems is quite extensive, so- lutions to even the most fundamental measurement error problems like density de- convolution and regression with errors...
Deng, Yangyang; Parajuli, Prem B.
2011-08-10T23:59:59.000Z
Evaluation of economic feasibility of a bio-gasification facility needs understanding of its unit cost under different production capacities. The objective of this study was to evaluate the unit cost of syngas production at capacities from 60 through 1800Nm 3/h using an economic model with three regression analysis techniques (simple regression, reciprocal regression, and log-log regression). The preliminary result of this study showed that reciprocal regression analysis technique had the best fit curve between per unit cost and production capacity, with sum of error squares (SES) lower than 0.001 and coefficient of determination of (R 2) 0.996. The regression analysis techniques determined the minimum unit cost of syngas production for micro-scale bio-gasification facilities of $0.052/Nm 3, under the capacity of 2,880 Nm 3/h. The results of this study suggest that to reduce cost, facilities should run at a high production capacity. In addition, the contribution of this technique could be the new categorical criterion to evaluate micro-scale bio-gasification facility from the perspective of economic analysis.
Contescu, Cristian I [ORNL
2006-01-01T23:59:59.000Z
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.
On the heat kernel and the Dirichlet form of Liouville Brownian Motion
Christophe Garban; Rémi Rhodes; Vincent Vargas
2014-10-16T23:59:59.000Z
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.
A Graphic Representation of States for Quantum Copying Machines
Sara Felloni; Giuliano Strini
2006-09-29T23:59:59.000Z
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.
Nicholas G Phillips; B. L. Hu
2002-09-17T23:59:59.000Z
Continuing our investigation of the regularization of the noise kernel in curved spacetimes [N. G. Phillips and B. L. Hu, Phys. Rev. D {\\bf 63}, 104001 (2001)] we adopt the modified point separation scheme for the class of optical spacetimes using the Gaussian approximation for the Green functions a la Bekenstein-Parker-Page. In the first example we derive the regularized noise kernel for a thermal field in flat space. It is useful for black hole nucleation considerations. In the second example of an optical Schwarzschild spacetime we obtain a finite expression for the noise kernel at the horizon and recover the hot flat space result at infinity. Knowledge of the noise kernel is essential for studying issues related to black hole horizon fluctuations and Hawking radiation backreaction. We show that the Gaussian approximated Green function which works surprisingly well for the stress tensor at the Schwarzschild horizon produces significant error in the noise kernel there. We identify the failure as occurring at the fourth covariant derivative order.
Cayley tables and representations of the groups of order 64
Stambaugh, Donald Lee
2012-06-07T23:59:59.000Z
mappings. Definition 4. 5. A representation D is said to be reducible if its representation space U contains a proper invariant subspace U' such that xeU, D(g)xcU' for each gcG. Definition 4. 6. A representation D is irreducible if it is not reducible...&?724232221 212Z23241718I920 2221. 2423181720k9 1?itt0 9161514X3 11X2 910151613X4 34127&56 4 3 2 1 8 7 6 5 56781234 65872143 7 8 5 6 3 4 I 2 87654321 91011k?1314I516 10 9X2111413X615 1112 91015161314 121. 110 916151413 13141. 516 9101112 14X3161510 912...
An application of ratio and regression estimation to a forest land ownership project
Minaldi, David Lynn
1967-01-01T23:59:59.000Z
AN APPLICATION OF RATIO AND REGRESSION ESTIMATION TO A FOREST LAND OWNERSHIP PROJECT A Thesis By DAVID LYNN MINALDI Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE May 1967 Major Subject: Statistics AN APPLICATION OF RATIO AND REGRESSION ESTIMATION TO A FOREST LAND OWNERSHIP PROJECT A Thesis By DAVID I YNN MINALDI Approve as t~~ye and content by: ( (Chai(man f - mmittee) (Member) (Head...
Estimating lower winds aloft at Houston, Texas, using a spatial vector regression technique
Zumwalt, James Tweed
2012-06-07T23:59:59.000Z
methods, to obtain estimates of the 500-m, 1000-m, 1500-m, and 2000-m winds from the surface winds at Houston, 17 3. To evaluate the results obtained using Scott's and Durst's methods for both vertical and horizontal wind regression. In selecting a..., Asheville, North Carolina. Wir;0 c!izei tio? !era!) gii en in 16 points of )he conpas and wind speed ! r& r!p The results obtained by regressing th' Rousto)z winds on thc winds at L, ice (. 'n& r) es& Louisiana, are superi or for all mont(os ancl all...
Brief Communications Unstable Representation of Sound: A Biological Marker of
Brief Communications Unstable Representation of Sound: A Biological Marker of Dyslexia Jane and reading skills. Children with dyslexia, who often exhibit impairments in auditory-based perceptual skills manifestations of auditory impairments in dyslexia include impaired perception of speech in background noise
Case Generation Using Rough Sets with Fuzzy Representation
Mitra, Pabitra
, granular computing, rough-fuzzy hybridization, soft computing, pattern recognition, data mining. Ã¦ 1 for case generation. Fuzzy set theory is used for linguistic representation of patterns, thereby producing a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model
BACK TO OFFICE REPORT Enhancing the Representation of Environment and
BACK TO OFFICE REPORT Enhancing the Representation of Environment and Natural Resources in Poverty be established when PRSPs are combined with Sector-Wide Approaches to funding development through Medium-Term Expenditure Frameworks (MTEF). Environment and Natural Resources (ENR) are recognised by the international
Subspace Segmentation with A Minimal Squared Frobenius Norm Representation
Yu, Yizhou
Minimal Squared Frobenius Norm Representa- tion (MSFNR). MSFNR performs data clustering by solving benchmark [9]. However, LRR in- volves nuclear norm1 minimization. Solving LRR re- quires computing multiple Representation (MSFNR). It employs convex optimization to perform subspace clustering. The method minimizes
Data Representation and CSC 1051 Data Structures and Algorithms I
Papalaskari, Mary-Angela
by Lewis & Loftus CSC 1051 M.A. Papalaskari, Villanova University #12;Overview Â· Data representation Applets CSC 1051 M.A. Papalaskari, Villanova University #12;Reverse History of computing Examine what we on a single "traditional" computer 3.Dig deeper Â data and processing Review CSC 1051 M.A. Papalaskari
Cognitive Maps and Bayesian Networks for Knowledge Representation and Reasoning
Paris-Sud XI, UniversitÃ© de
Cognitive Maps and Bayesian Networks for Knowledge Representation and Reasoning Karima Sedki 1, France 2. UniversitÃ© europÃ©enne de Bretagne, France Email: louis.bonneau@agrocampus-ouest.fr Abstract--Cognitive individual's judgments, thinking or beliefs about a given problem. However, drawing inferences in cognitive
Attention and biased competition in multi-voxel object representations
VanRullen, Rufin
. In a multidimensional voxel space, the response to simultaneously-presented categories was well described as a weighted.e., univariate) fMRI methods (13Â15), these recently discov- ered multivariate pattern analysis techniques have to understand attentional influences in large-scale multivariate representations of simultaneously
Compact Representation of Coordinated Sampling Policies for Body Sensor Networks
Panangadan, Anand
.Talukder@jpl.nasa.gov Abstract Embedded sensors of a Body Sensor Network need to efficiently utilize their energy resources Department of Electrical Engineering Los Angeles, CA 90089, USA 1-213-821-0871 {lius,raghu}@usc.edu 2 of a compact representation is feasible with little loss in performance. The global optimal policy is computed
Interactive Dimensions in the Construction of Mental Representations for Text
Patel, Aniruddh D.
Interactive Dimensions in the Construction of Mental Representations for Text David N. Rapp be as critical to the construction of complex mental models as the discrete dimensions themselves. In the present a bead on Specify again. Incredibly, the horse was still rolling along. A pang of fear went through Woolf
Composite systems and their representation in quantum and
Seevinck, Michiel
Composite systems and their representation in quantum and classical physics M.P. Seevinck Institute of measurements on subsystems of a composite system as predicted by a particular physical theory; secondly to the composite system they are a part of; and, thirdly, the comparison of different physical theories
Nucleon-nucleon potentials in phase-space representation
H. Feldmeier; T. Neff; D. Weber
2014-12-02T23:59:59.000Z
A phase-space representation of nuclear interactions, which depends on the distance $\\vec{r}$ and relative momentum $\\vec{p}$ of the nucleons, is presented. A method is developed that permits to extract the interaction $V(\\vec{r},\\vec{p})$ from antisymmetrized matrix elements given in a spherical basis with angular momentum quantum numbers, either in momentum or coordinate space representation. This representation visualizes in an intuitive way the non-local behavior introduced by cutoffs in momentum space or renormalization procedures that are used to adapt the interaction to low momentum many-body Hilbert spaces, as done in the unitary correlation operator method or with the similarity renormalization group. It allows to develop intuition about the various interactions and illustrates how the softened interactions reduce the short-range repulsion in favor of non-locality or momentum dependence while keeping the scattering phase shifts invariant. It also reveals that these effective interactions can have undesired complicated momentum dependencies at momenta around and above the Fermi momentum. Properties, similarities and differences of the phase-space representations of the Argonne and the N3LO chiral potential, and their UCOM and SRG derivatives are discussed.
A representation theorem for stochastic processes with separable covariance functions,
), will often require five or ten dimensions--sometimes more. Covariance functions, being non-negative definite in section 2. Section 2 also presents the restrictions on the conditional and marginal correlation functions itself. Section 3 provides a complete answer to this question, giving a representation theorem
Rendering Optical Effects Based on Spectra Representation in Complex Scenes
Paris-Sud XI, Université de
Rendering Optical Effects Based on Spectra Representation in Complex Scenes Weiming Dong Project ALICE, INRIA Lorraine/Loria, France Weiming.Dong@loria.fr Abstract. Rendering the structural color sensitive phenomena. Achieving the rendering of complex scenes with both the full spectra and RGB light
Banded Matrix Fraction Representation of Triangular Input Normal Pairs
, 15, 14]. In this approach, the #3; S.A.C. Capital Management, LLC, 540 Madison Ave, New York, NY state transition matrix and B is a n #2; d matrix with n #21; d. Let C be the p #2; n matrix whose kth develop a computationally convenient representation of the state transition matrices that arise from
SEMANTICS OF LOGIC PROGRAMS AND REPRESENTATION OF SMYTH POWERDOMAIN
Zhang, Guo-Qiang
's hyperresolution rule. We establish an orderÂisomorphism between disjunctive states and compact, saturated sets spaces in which to present the denotational semantics of programming languages. The reÂ cursive, selfÂpoint semantics for disjunctive logic programming. This concrete representation provides a link between
Representations of finite groups The Alperin-McKay refinement
Cossey, James P.
Representations of finite groups The Alperin-McKay refinement The Isaacs-Navarro refinements The Mc-McKay refinement The Isaacs-Navarro refinements The basics Some history The McKay conjecture (for now) Let G groups The Alperin-McKay refinement The Isaacs-Navarro refinements The basics Some history The Mc
Eugene Lytvynov; Lin Mei
2006-08-14T23:59:59.000Z
Let $X$ be a locally compact, second countable Hausdorff topological space. We consider a family of commuting Hermitian operators $a(\\Delta)$ indexed by all measurable, relatively compact sets $\\Delta$ in $X$ (a quantum stochastic process over $X$). For such a family, we introduce the notion of a correlation measure. We prove that, if the family of operators possesses a correlation measure which satisfies some condition of growth, then there exists a point process over $X$ having the same correlation measure. Furthermore, the operators $a(\\Delta)$ can be realized as multiplication operators in the $L^2$-space with respect to this point process. In the proof, we utilize the notion of $\\star$-positive definiteness, proposed in [Y. G. Kondratiev and T.\\ Kuna, {\\it Infin. Dimens. Anal. Quantum Probab. Relat. Top.} {\\bf 5} (2002), 201--233]. In particular, our result extends the criterion of existence of a point process from that paper to the case of the topological space $X$, which is a standard underlying space in the theory of point processes. As applications, we discuss particle densities of the quasi-free representations of the CAR and CCR, which lead to fermion, boson, fermion-like, and boson-like (e.g. para-fermions and para-bosons of order 2) point processes. In particular, we prove that any fermion point process corresponding to a Hermitian kernel may be derived in this way.
Koh, Wonryull
2009-05-15T23:59:59.000Z
This dissertation studies two problems related to geometric representation of neuroanatomical data: (i) spatial representation and organization of individual neurons, and (ii) reconstruction of three-dimensional neuroanatomical regions from sparse...
Minority Group Interests and Political Representation: Gay Elected Officials in the Policy Process
Haider-Markel, Donald P.; Joslyn, Mark R.; Kniss, Chad J.
2000-01-01T23:59:59.000Z
Of key importance to groups in a democracy is the political representation of their interests in the policy process. The most obvious strategy of groups to achieve representation is to elect officials that identify with ...
Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines
CaÃ±izares, Claudio A.
1 Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines H. In this paper, the MARS technique is applied to forecast the hourly Ontario energy price (HOEP). The MARS models values of the latest pre- dispatch price and demand information, made available by the Ontario
LS-SVM based regression and spectral clustering for predicting maintenance of machines
with sensory3 faults have been used [? ],[? ],[? ]: corrective maintenance, preventive main-4 tenance, manual the machine fails, it is expensive and6 safety and environmental issues arise. Preventive maintenance is basedLS-SVM based regression and spectral clustering for predicting maintenance of machines Rocco
Weimer, Westley
for reducing the number of false positives associated with regression testing such applications, simultaneously focusing on returning all true positives. Our approach predicts which test cases merit human inspection, security, and availability requirements [20], which translates into well-designed and well-tested software
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
Blei, David M.
, the Elastic Net can yield a sparse esti- mate with more than n non-zero weights (Efron et al., 2004). One canExploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net Alexander Lorbert- tion called the Pairwise Elastic Net is pro- posed. Like the Elastic Net, it simultane- ously performs
Linear Regression and Random Forests for Layer Identification in IC Layout Reverse-Engineering
de Freitas, Nando
050 051 052 053 Linear Regression and Random Forests for Layer Identification in IC Layout Reverse in the process; the bulk of the work consists of tracing from the die images the regions which form components, resistors, and capacitors. The common types of layers are the bulk (substrate, i.e. the base silicon
A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China
Pittendrigh, Barry
A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China t There is an increasing demand for improving spatial resolution of climate data. However, an increase in resolution does spatial data of monthly mean temperature and monthly precipitation at a national scale in mainland China
Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit
Air Leakage of US Homes: Regression Analysis and Improvements from Retrofit Wanyu R. Chan, Jeffrey,000 single-family detached homes have sufficient information for the analysis of air leakage in relation variability in normalized leakage. ResDB also contains the before and after retrofit air leakage measurements
Learning Dynamic Models of Compartment Systems by Combining Symbolic Regression with Fuzzy Vector
Fernandez, Thomas
. Categories and Subject Descriptors I.2.1 [Pattern Recognition]: Models--Fuzzy Set; I.2.6 [ArtificialLearning Dynamic Models of Compartment Systems by Combining Symbolic Regression with Fuzzy Vector and fuzzy represen- tation. We need differential capabilities because, in a dy- namic environment, models
Paris-Sud XI, UniversitÃ© de
A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic database containing sample data is used for simulation purposes. Keywords--Photovoltaic generator, SVR, k-NNR, reversed polarity fault, diagnosis, prognosis. NOMENCLATURE PV = Photovoltaic; SVM = Support Vector
Localized Regression Analysis as a Method for Detecting Erroneous Measurements in Geospatial
Ward, Karen
Localized Regression Analysis as a Method for Detecting Erroneous Measurements in Geospatial at El Paso, El Paso, TX 79968, USA Abstract Geospatial databases generally consist of measurements dealing with many other types of point data. Keywords: Geospatial Databases; Error Detection; Gravity Data
SPATIO-TEMPORAL REGRESSION MODELS FOR DEFORESTATION IN THE BRAZILIAN AMAZON Giovana M. de Espindolaa
Camara, Gilberto
SPATIO-TEMPORAL REGRESSION MODELS FOR DEFORESTATION IN THE BRAZILIAN AMAZON Giovana M. de change, spatial simultaneous autoregression ABSTRACT: Deforestation in the Brazilian Amazon has sharply of deforestation in a selected area by relating data from 2002-2008 to a number of explanatory variables, part
Prediction of tree diameter growth using quantile regression and mixed-effects models
Cao, Quang V.
Prediction of tree diameter growth using quantile regression and mixed-effects models Som B. Bohora diameter predictions for the same tree in the future. Another approach considered in this study involved and mixed-effects models in predicting tree diameter growth. Tree diameter at the end of each growth period
Fast Object Detection By Regression in Robot Soccer Susana Brand~ao
Veloso, Manuela M.
Fast Object Detection By Regression in Robot Soccer Susana Brand~ao , Manuela Veloso, and Jo detection, where a given image is efficiently processed in real-time with the learned models. For each image since both task rely on images to provide ground truth for landmarks and objects localization. One
Non-parametric regression and neural-network inll drilling recovery models for carbonate reservoirs
ValkÃ³, Peter
, and operations e- ciency. Consequent to the primary recovery, water- Â¯ood is often used as a secondary recoveryNon-parametric regression and neural-network inÂ®ll drilling recovery models for carbonate ultimate oil recovery from reservoirs in San Andres and Clearfork carbonate formations in West Texas
What is the Chance that the Equity Premium Varies Evidence from Predictive Regressions
Kahana, Michael J.
Regressions Abstract We examine the evidence on excess stock return predictability in a Bayesian setting by the historical time series of returns and predictor variables. We find that taking into account the stochastic;1 Introduction This paper investigates the evidence in favor of stock return predictability from a model
Practical 3(a): Case Studies in Poisson Regression Practical 3(a): Case Studies in Poisson
Boehning, Dankmar
randomised to 6 different schools #12;Practical 3(a): Case Studies in Poisson Regression Outline questions: Shaper et al. (1988, Lancet) describe a cohort study of a random sample of 7729 middle-aged British men-economic background Interventions: Control (3), Oral health education (1), Enrichment of the school diet with rice
Arhonditsis, George B.
September 2001; accepted 28 January 2002 Abstract The presence of trihalomethanes (THMs) in drinking water in finished drinking water, using data from the Menidi Treatment Plant of Athens. A number of routinely Science Ltd. All rights reserved. Keywords: Multiple regression model; Trihalomethanes; Drinking water
Teasing Out the Effect of Tutorials via Multiple Regression Stephanie V. Chasteen
Colorado at Boulder, University of
Teasing Out the Effect of Tutorials via Multiple Regression Stephanie V. Chasteen Science Education instruction, did not achieve the same impacts. Keywords: physics education research, course reform, electricity and magnetism, assessment PACS: 01.30.Ib, 01.40.Di, 01.40.Fk, 01.40.G-, 01.40.gb INTRODUCTION
A spatiotemporal auto-regressive moving average model for solar radiation
Stone, J. V.
A spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D 1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two years otherwise there are too many parameters to be estimated. As we wish to simulate solar radiation on a network
Cooling energy demand evaluation by means of regression models obtained from dynamic simulations
Paris-Sud XI, UniversitÃ© de
Cooling energy demand evaluation by means of regression models obtained from dynamic simulations Ph, UniversitÃ© Lyon1, FRANCE ABSTRACT The forecast of the energy heating/cooling demand would be a good indicator between simple and complex methods of evaluating the cooling energy demand we have proposed to use energy
A Functional Regression Approach for Prediction in a District-Heating System
Paris-Sud XI, Université de
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
Scott, David W.
Nonparametric Regression for Geographic Visualization and Analysis of Environmental Policy Gerald August 9-13, 1998. The views expressed are the author's, and do not necessarily represent policies; averaged shifted histogram; environmental economics The U.S. Department of Agriculture administers
Obradovic, Zoran
Spatially Penalized Regression for Extremes Dependence Analysis and Prediction: Case of Precipitation Extremes Debasish Das1,2 , Auroop R. Ganguly1 , Snigdhansu Chatterjee3 , Vipin Kumar4 , Zoran@cs.umn.edu, zoran.obradovic@temple.edu. ABSTRACT The inability to predict precipitation extremes under non
Fusion rules for admissible representations of affine algebras: the case of $A_2^{(1)}$
P. Furlan; A. Ch. Ganchev; V. B. Petkova
1997-10-26T23:59:59.000Z
We derive the fusion rules for a basic series of admissible representations of $\\hat{sl}(3)$ at fractional level $3/p-3$. The formulae admit an interpretation in terms of the affine Weyl group introduced by Kac and Wakimoto. It replaces the ordinary affine Weyl group in the analogous formula for the fusion rules multiplicities of integrable representations. Elements of the representation theory of a hidden finite dimensional graded algebra behind the admissible representations are briefly discussed.
The effect of alternative tree representations on tree bank Mark Johnson*
Johnson (1998) The effect of alternative tree representations on tree bank grammars. In D.M.W. Powers (ed
CENTRAL CHARACTERS FOR SMOOTH IRREDUCIBLE MODULAR REPRESENTATIONS OF GL2(Qp)
Berger, Laurent
CENTRAL CHARACTERS FOR SMOOTH IRREDUCIBLE MODULAR REPRESENTATIONS OF GL2(Qp) by Laurent Berger irreducible Fp-linear representation of GL2(Qp) admits a central character. Introduction Let be a representation of GL2(Qp). We say that is smooth, if the stabilizer of any v is an open subgroup of GL2(Qp
Krysl, Svatopluk
C -algebras Oscillator or Segal-Shale-Weil representation Geometry: Associating the oscillator or Segal-Shale-Weil representation Geometry: Associating the oscillator to symplectic manifolds Global and (x) = 0 implies x = 0 2 S. KrÃ½sl #12;C -algebras Oscillator or Segal-Shale-Weil representation
Patrick, Christopher E
2015-01-01T23:59:59.000Z
We present calculations of the correlation energies of crystalline solids and isolated systems within the adiabatic-connection fluctuation-dissipation formulation of density-functional theory. We perform a quantitative comparison of a set of model exchange-correlation kernels originally derived for the homogeneous electron gas (HEG), including the recently-introduced renormalized adiabatic local-density approximation (rALDA) and also kernels which (a) satisfy known exact limits of the HEG, (b) carry a frequency dependence or (c) display a 1/$k^2$ divergence for small wavevectors. After generalizing the kernels to inhomogeneous systems through a reciprocal-space averaging procedure, we calculate the lattice constants and bulk moduli of a test set of 10 solids consisting of tetrahedrally-bonded semiconductors (C, Si, SiC), ionic compounds (MgO, LiCl, LiF) and metals (Al, Na, Cu, Pd). We also consider the atomization energy of the H$_2$ molecule. We compare the results calculated with different kernels to those ...
Straub, John E.
Journal of Molecular Graphics and Modelling 22 (2004) 441Â450 Continuous anisotropic representation improved performance. Novel graphical representations are developed and used to depict the orientational
EMP (electromagnetic pulse) representational tools for personal workstations
Riley, A.; Shafer, D.
1987-01-01T23:59:59.000Z
The ability to rapidly provide a visual representation of a problem set, its accompanying environment, and the variables that directly impact the analysis is of enormous value to the weapons analyst. Parametric, first-principle tools are directly and immediately usable by the analyst to represent the systems under investigation and the effects on those systems by the weapons under analysis. The three tools described, GEOREP, 3-AXIS, and G RANGE, provide these visual, analytic tools directly to the analyst on personal computer workstations. The simplicity and rapidity with which these tools may be used are especially beneficial to weapons analysts dealing with complex phenomena such as EMP. The potential flexibility of these representational tools is shown through examples of notional weapons applications. Use of GEOREP, 3-AXIS, and G RANGE, which augment, rather than supplant, complex weapons effects physics codes, can help provide the necessary, cost-effective guidance for making decisions on detailed case studies.
Mixing of fermions and spectral representation of propagator
Kaloshin, A E
2015-01-01T23:59:59.000Z
We develop the spectral representation of propagator for $n$ mixing fermion fields in case of $\\mathsf{P}$-parity violation. Solving of the eigenstate problem for inverse matrix propagator allows to build the system of orthogonal projectors and to represent the matrix propagator as a sum of poles with positive and negative energy. The procedure of multiplicative renormalization is investigated, the renormalization matrices are obtained in a closed form without using of perturbation theory.
Integrable probability: From representation theory to Macdonald processes
Alexei Borodin; Leonid Petrov
2014-06-20T23:59:59.000Z
These are lecture notes for a mini-course given at the Cornell Probability Summer School in July 2013. Topics include lozenge tilings of polygons and their representation theoretic interpretation, the (q,t)-deformation of those leading to the Macdonald processes, nearest neighbor dynamics on Macdonald processes, their limit to semi-discrete Brownian polymers, and large time asymptotic analysis of polymer's partition function.
Improved data representation for three-dimensional analysis
Olah, Desiree Jeanine
1992-01-01T23:59:59.000Z
. OB JECTIVES The purpose of this research was to evaluate the capabilities of spatially-oriented software to improve data representation for three-dimensional analysis. The specific objectives were to: I) Select appropriate spatial analysis... to perform their study. Manley and Tallet (1990) found that the 1VM gave them the capability to calculate volumes between complex surfaces within user defined regions and to provide them with information about specific features or water masses that are far...
The bosonic Fock representation and a generalized Shale theorem
P. L. Robinson
2012-03-26T23:59:59.000Z
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.
The bosonic Fock representation and a generalized Shale theorem
Robinson, P L
2012-01-01T23:59:59.000Z
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.
Hydrogen atom in phase space: The Wigner representation
L. Praxmeyer; J. Mostowski; K. Wodkiewicz
2005-04-06T23:59:59.000Z
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.
Representation of analysis results involving aleatory and epistemic uncertainty.
Johnson, Jay Dean (ProStat, Mesa, AZ); Helton, Jon Craig (Arizona State University, Tempe, AZ); Oberkampf, William Louis; Sallaberry, Cedric J.
2008-08-01T23:59:59.000Z
Procedures are described for the representation of results in analyses that involve both aleatory uncertainty and epistemic uncertainty, with aleatory uncertainty deriving from an inherent randomness in the behavior of the system under study and epistemic uncertainty deriving from a lack of knowledge about the appropriate values to use for quantities that are assumed to have fixed but poorly known values in the context of a specific study. Aleatory uncertainty is usually represented with probability and leads to cumulative distribution functions (CDFs) or complementary cumulative distribution functions (CCDFs) for analysis results of interest. Several mathematical structures are available for the representation of epistemic uncertainty, including interval analysis, possibility theory, evidence theory and probability theory. In the presence of epistemic uncertainty, there is not a single CDF or CCDF for a given analysis result. Rather, there is a family of CDFs and a corresponding family of CCDFs that derive from epistemic uncertainty and have an uncertainty structure that derives from the particular uncertainty structure (i.e., interval analysis, possibility theory, evidence theory, probability theory) used to represent epistemic uncertainty. Graphical formats for the representation of epistemic uncertainty in families of CDFs and CCDFs are investigated and presented for the indicated characterizations of epistemic uncertainty.
Paris-Sud XI, UniversitÃ© de
to the same EDR space is provided. Thus, the proposed multivariate SIR method can be used properly on each, multivariate response regression analysis with a p-dimensional vector of regressors has been extensively) introduced sliced inverse regression (SIR) which is a well-known method to estimate the EDR space. The link
Rothermel, Gregg
Journal of Software Testing, Verification, and Reliability, V. 10, no. 2, June 2000. Regression Test Selection for C++ Software Gregg Rothermel Dept. of Computer Science Oregon State University University Corvallis, OR 97331 dedhia@cs.orst.edu Abstract Regression testing is an important but expensive
Hyperforests on the Complete Hypergraph by Grassmann Integral Representation
Bedini, Andrea; Sportiello, Andrea
2008-01-01T23:59:59.000Z
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.
Hyperforests on the Complete Hypergraph by Grassmann Integral Representation
Andrea Bedini; Sergio Caracciolo; Andrea Sportiello
2008-02-11T23:59:59.000Z
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.
On the Representation of Intermediate States in the Velocity Basis
B. A. Tay; S. Wickramasekara
2008-01-08T23:59:59.000Z
Unstable state furnishes a semigroup irreducible representation of the Poincar\\'e group. The state vector is represented by a superposition of energy eigenkets. As a consequence of this superposition, the state vector can be transformed into the rest frame through {\\it a} Lorentz transformation only when the eigenkets are labeled by velocity variable, but not momentum variable. We also clarify the meaning of the velocity variable in the state vector with respect to the velocity derived from kinematical consideration of the scattering process.
Review of structure representation and reconstruction on mesoscale and microscale
Li, Dongsheng
2014-05-01T23:59:59.000Z
Structure representation and reconstruction on mesoscale and microscale is critical in material design, advanced manufacturing and multiscale modeling. Microstructure reconstruction has been applied in different areas of materials science and technology, structural materials, energy materials, geology, hydrology, etc. This review summarizes the microstructure descriptors and formulations used to represent and algorithms to reconstruct structures at microscale and mesoscale. In the stochastic methods using correlation function, different optimization approaches have been adapted for objective function minimization. A variety of reconstruction approaches are compared in efficiency and accuracy.
Free-Field Representation of Permutation Branes in Gepner Models
S. E. Parkhomenko
2005-12-27T23:59:59.000Z
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.
Separable Representation of Proton-Nucleus Optical Potentials
L. Hlophe; V. Eremenko; Ch. Elster; F. M. Nunes; G. Arbanas; J. E. Escher; I. J. Thompson
2014-09-14T23:59:59.000Z
Recently, a new approach for solving the three-body problem for (d,p) reactions in the Coulomb-distorted basis in momentum space was proposed. Important input quantities for such calculations are the scattering matrix elements for proton- and neutron-nucleus scattering. We present a generalization of the Ernst-Shakin-Thaler scheme in which a momentum space separable representation of proton-nucleus scattering matrix elements can be calculated in the Coulomb basis. The viability of this method is demonstrated by comparing S-matrix elements obtained for p$+^{48}$Ca and p$+^{208}$Pb for a phenomenological optical potential with corresponding coordinate space calculations.
Global Representation of the Fine Structure Constant and its Variation
Michael Edmund Tobar
2005-02-06T23:59:59.000Z
The fine structure constant, alpha, is shown to be proportional to the ratio of the quanta of electric and magnetic flux of force of the electron, and provides a new representation, which is global across all unit systems. Consequently, a variation in alpha was shown to manifest due to a differential change in the fraction of the quanta of electric and magnetic flux of force, while a variation in hcross.c was shown to manifest due to the common mode change. The representation is discussed with respect to the running of the fine structure constant at high energies (small distances), and a putative temporal drift. It is shown that the running of the fine structure constant is due to equal components of electric screening (polarization of vacuum) and magnetic anti-screening (magnetization of vacuum), which cause the perceived quanta of electric charge to increase at small distances, while the magnetic flux quanta decreases. This introduces the concept of the bare magnetic flux quanta as well as the bare electric charge. With regards to temporal drift, it is confirmed that it is impossible to determine which fundamental constant is varying if alpha varies.
U. T. Henshaw
This study investigated the use of soya bean oil and palm kernel oil as alternatives to mineral oil in a transformer system. Crude samples of these oils and their blend in varied proportions were tested for dielectric strength, pour point, flash point, kinematic viscosity, density and moisture content. The results showed that soya bean oil and palm kernel oil have good properties to act as insulating and cooling liquid in a transformer. These properties could be further improved when the oils are refined and purified. Soya bean oil and palm kernel oil have dielectric strengths of 39 kV and 25 kV respectively in their crude states compared with transformer (mineral) oil which has a maximum dielectric strength of 50 kV. Blend of soya bean oil and palm kernel oil showed synergy only in pour point and viscosity. The results of the study further showed that soya bean oil and palm kernel oil and their blends have very high flash points of 234°C and 242°C respectively. In terms of economic costs and environmental considerations, soya bean oil and palm kernel oil appear to be viable alternatives to transformer oils
Romero, Christopher 1978-
2012-12-03T23:59:59.000Z
rule of four ? the prescription that all concepts be understood via graphical, numerical, algebraic, and verbal representations (College Board, 2012). Free response items from the AP test reflect this position; each test includes 6 free response items..., each 5 of which is a word problem involving another distinct anchor representation?an algebraic expression, graph, table of values, or combination of those. Students must equally adept at interpreting all representations. Algebraic...
Hofland, G.S.; Barton, C.C.
1990-10-01T23:59:59.000Z
The computer program FREQFIT is designed to perform regression and statistical chi-squared goodness of fit analysis on one-dimensional or two-dimensional data. The program features an interactive user dialogue, numerous help messages, an option for screen or line printer output, and the flexibility to use practically any commercially available graphics package to create plots of the program`s results. FREQFIT is written in Microsoft QuickBASIC, for IBM-PC compatible computers. A listing of the QuickBASIC source code for the FREQFIT program, a user manual, and sample input data, output, and plots are included. 6 refs., 1 fig.
Efficient Semiparametric Estimators for Nonlinear Regressions and Models under Sample Selection Bias
Kim, Mi Jeong
2012-10-19T23:59:59.000Z
simulations. : : : : 68 VIII Five estimates of and and their estimated standard deviation for the ambulatory expenditures data, under two weighting func- tion models. The rst weighting function is w(x; ) = e e x , the second weighting function is w...(X; ) + ; where Y 2 R is the response variable, X 2 Rk is the predictor variable, 2 Rp is the unknown regression parameter and is the random error satisfying E( jX) = 0 and E( 2jX) = 2. Y and are assumed to have nite fourth moments. The parameter vector...
KINETIC ANALYSIS OF HIGH-NITROGEN ENERGETIC MATERIALS USING MULTIVARIATE NONLINEAR REGRESSION
Campbell, M. S. (Mary Stinecipher); Rabie, R. L. (Ronald L.); Diaz-Acosta, I. (Irina); Pulay, P. (Peter)
2001-01-01T23:59:59.000Z
New high-nitrogen energetic materials were synthesized by Hiskey and Naud. J. Opfermann reported a new tool for finding the probable model of the complex reactions using multivariate non-linear regression analysis of DSC and TGA data from several measurements run at different heating rates. This study is to take the kinetic parameters from the different steps and discover which reaction step is responsible for the runaway reaction by comparing predicted results from the Frank-Kamenetsckii equation with the critical temperature found experimentally using the modified Henkin test.
A near infrared regression model for octane measurements in gasolines which contain MTBE
Maggard, S.M. (Ashland Petroleum Co., KY (USA))
1990-01-01T23:59:59.000Z
Near infrared (NIR) spectroscopy has emerged as a superior technique for the on-line determination of octane during the blending of gasoline. This results from the numerous advantages that NIR spectroscopy has over conventional on-line instrumentation. Methyl t-butyl ether (MTBE) is currently the oxygenated blending component of choice. MTBE is advantageous because it has a high blending octane, a low Reid vapor pressure, is relatively cheap, and does not form peroxides (1). The goal of this project was to develop a NIR regression model that could be used to predict pump octanes regardless of whether they contained MTBE.
Wang, J.; Claridge, D. E.
1998-01-01T23:59:59.000Z
Regression models of measured energy use in buildings are widely used as baseline models to determine retrofit savings from measured energy consumption. It is less expensive to determine savings from monthly utility bills when they are available...
Method of Equivalencing for a Large Wind Power Plant with Multiple Turbine Representation: Preprint
Muljadi, E.; Pasupulati, S.; Ellis, A.; Kosterov, D.
2008-07-01T23:59:59.000Z
This paper focuses on our effort to develop an equivalent representation of a Wind Power Plant collector system for power system planning studies.
E-Print Network 3.0 - affective word representations Sample Search...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
2009 -Borovets, Bulgaria, pages 416420 Classification of Emotion Words in Russian and Romanian Languages Summary: representations provided better results for English affective...
Outside the Circle: The Juxtaposition of Powwow Imagery and Cherokee Historical Representation.
Brumley, Dana
2009-01-01T23:59:59.000Z
??This thesis looks at the juxtaposition presented by the Eastern Cherokee's struggle to present an accurate historical representation of 'Cherokee' against the backdrop of the… (more)
Body-specific representations of spatial location Tad T. Bruny b,a,
Patel, Aniruddh D.
Body-specific representations of spatial location Tad T. BrunyÃ© b,a, , Aaron Gardony b,a , Caroline
Paris-Sud XI, UniversitÃ© de
Nachteil tritt nicht auf, wenn die Regression der zukÃ¼nftigen TÃ¶chter auf die durchsch- nittliche Differenz
Yu-pin Lin; Hone-jay Chu; Chen-fa Wu; Tsun-kuo Chang; Chiu-yang Chen
2010-01-01T23:59:59.000Z
Abstract: Concentrations of four heavy metals (Cr, Cu, Ni, and Zn) were measured at 1,082 sampling sites in Changhua county of central Taiwan. A hazard zone is defined in the study as a place where the content of each heavy metal exceeds the corresponding control standard. This study examines the use of spatial analysis for identifying multiple soil pollution hotspots in the study area. In a preliminary investigation, kernel density estimation (KDE) was a technique used for hotspot analysis of soil pollution from a set of observed occurrences of hazards. In addition, the study estimates the hazardous probability of each heavy metal using geostatistical techniques such as the sequential indicator simulation (SIS) and indicator kriging (IK). Results show that there are multiple hotspots for these four heavy metals and they are strongly correlated to the locations of industrial plants and irrigation systems in the study area. Moreover, the pollution hotspots detected using the KDE are the almost same to those estimated using IK or SIS. Soil pollution hotspots and polluted sampling densities are clearly defined using the KDE approach based
John Collins; Ted Rogers
2015-01-22T23:59:59.000Z
There is considerable controversy about the size and importance of non-perturbative contributions to the evolution of transverse momentum dependent (TMD) parton distribution functions. Standard fits to relatively high-energy Drell-Yan data give evolution that when taken to lower Q is too rapid to be consistent with recent data in semi-inclusive deeply inelastic scattering. Some authors provide very different forms for TMD evolution, even arguing that non-perturbative contributions at large transverse distance b_T are not needed or are irrelevant. Here, we systematically analyze the issues, both perturbative and non-perturbative. We make a motivated proposal for the parameterization of the non-perturbative part of the TMD evolution kernel that could give consistency: with the variety of apparently conflicting data, with theoretical perturbative calculations where they are applicable, and with general theoretical non-perturbative constraints on correlation functions at large distances. We propose and use a scheme- and scale-independent function A(b_T) that gives a tool to compare and diagnose different proposals for TMD evolution. We also advocate for phenomenological studies of A(b_T) as a probe of TMD evolution. The results are important generally for applications of TMD factorization. In particular, they are important to making predictions for proposed polarized Drell-Yan experiments to measure the Sivers function.
Group representation approach to 1 - N universal quantum cloning machines
Micha? Studzi?ski; Piotr ?wikli?ski; Micha? Horodecki; Marek Mozrzymas
2014-05-05T23:59:59.000Z
In this work, we revisit the problem of finding an admissible region of fidelities obtained after an application of an arbitrary $1 \\rightarrow N$ universal quantum cloner which has been recently solved in [A. Kay et al., Quant. Inf. Comput 13, 880 (2013)] from the side of cloning machines. Using group-theory formalism, we show that the allowed region for fidelities can be alternatively expressed in terms of overlaps of pure states with recently found irreducible representations of the commutant $U \\otimes U \\otimes \\ldots \\otimes U \\otimes U^*$, which gives the characterization of the allowed region where states being cloned are figure of merit. Additionally, it is sufficient to take pure states with real coefficients only, which makes calculations simpler. To obtain the allowed region, we make a convex hull of possible ranges of fidelities related to a given irrep. Subsequently, two cases: $1 \\rightarrow 2$ and $1 \\rightarrow 3$ cloners, are studied for different dimensions of states as illustrative examples.
Generalized Enhanced Multivariance Product Representation for Data Partitioning: Constancy Level
Tunga, M. Alper [Bahcesehir University, Faculty of Engineering, Software Engineering Department, Besiktas, 34349, Istanbul (Turkey); Demiralp, Metin [Istanbul Technical University, Informatics Institute, Computational Science and Engineering Program, Maslak 34469, Istanbul (Turkey)
2011-09-14T23:59:59.000Z
Enhanced Multivariance Product Representation (EMPR) method is used to represent multivariate functions in terms of less-variate structures. The EMPR method extends the HDMR expansion by inserting some additional support functions to increase the quality of the approximants obtained for dominantly or purely multiplicative analytical structures. This work aims to develop the generalized form of the EMPR method to be used in multivariate data partitioning approaches. For this purpose, the Generalized HDMR philosophy is taken into consideration to construct the details of the Generalized EMPR at constancy level as the introductory steps and encouraging results are obtained in data partitioning problems by using our new method. In addition, to examine this performance, a number of numerical implementations with concluding remarks are given at the end of this paper.
Enhancement of Solar Energy Representation in the GCAM Model
Smith, Steven J.; Volke, April C.; Delgado Arias, Sabrina
2010-02-01T23:59:59.000Z
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.
Bronze Age Representations of Aegean Bull-Games, III
Younger, John G.
1995-01-01T23:59:59.000Z
depictions of agrimia and should not be anatomical indications -- might itrey Ue some kind of girth allowing the leaper to get a secure grip? And if so, then perhaps this particular representation depicts a type of practice vault. Unclassifiable Re...*ilthw*rtrrrr LI5A. A p;rirrling hy Rud*lph F. Z;rll*rr**r, origin*lly. l*r ir xeri*: gf'article* i1 l..ite nrag*:ri{te and rrprnducerl in tlir:'l'lnrr-'l-i1'* htxrk, '{'ht ff1tit o.{' ,l.fr*r 11, ci*pir:lx lltc tp*rt taking plttc* trt.ltrrt rttr lt ,rrl irrf ll...
Graphics processing units accelerated semiclassical initial value representation molecular dynamics
Tamascelli, Dario; Dambrosio, Francesco Saverio [Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, 20133 Milano (Italy)] [Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, 20133 Milano (Italy); Conte, Riccardo [Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322 (United States)] [Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322 (United States); Ceotto, Michele, E-mail: michele.ceotto@unimi.it [Dipartimento di Chimica, Università degli Studi di Milano, via Golgi 19, 20133 Milano (Italy)] [Dipartimento di Chimica, Università degli Studi di Milano, via Golgi 19, 20133 Milano (Italy)
2014-05-07T23:59:59.000Z
This paper presents a Graphics Processing Units (GPUs) implementation of the Semiclassical Initial Value Representation (SC-IVR) propagator for vibrational molecular spectroscopy calculations. The time-averaging formulation of the SC-IVR for power spectrum calculations is employed. Details about the GPU implementation of the semiclassical code are provided. Four molecules with an increasing number of atoms are considered and the GPU-calculated vibrational frequencies perfectly match the benchmark values. The computational time scaling of two GPUs (NVIDIA Tesla C2075 and Kepler K20), respectively, versus two CPUs (Intel Core i5 and Intel Xeon E5-2687W) and the critical issues related to the GPU implementation are discussed. The resulting reduction in computational time and power consumption is significant and semiclassical GPU calculations are shown to be environment friendly.
High School Students' Understandings and Representations of the Electric Field
Cao, Ying
2014-01-01T23:59:59.000Z
This study investigates the understandings and representations of the electric field expressed by Chinese high school students ages 15 to 16 who have not yet received high school-level physics instruction. The literature has reported students' ideas of the electric field post-instruction as indicated by their performance on textbook-style questionnaires. However, by relying on measures such as questionnaires, previous research has inadequately captured the thinking process that led students to answer questions in the ways that they did. The present study portrays the beginning of this process by closely examining students' understandings pre-instruction. The participants in this study were asked to engage in a lesson that included informal group tasks that involved playing a Web-based hockey game that replicated an electric field and drawing comic strips that used charges as characters. The lesson was videotaped, students' work was collected, and three students were interviewed afterward to ascertain more det...
Born-Oppenheimer Non-Adiabatic Diabatic Appendix ADIABATIC AND DIABATIC REPRESENTATIONS
Markmann, Andreas
Born-Oppenheimer Non-Adiabatic Diabatic Appendix ADIABATIC AND DIABATIC REPRESENTATIONS Andreas Representations #12;Born-Oppenheimer Non-Adiabatic Diabatic Appendix OUTLINE 1 THE BORN-OPPENHEIMER APPROXIMATION Dressed Kinetic Energy Group Born-Oppenheimer Approximation Singularities at Conical Intersections 3
S. Pakuliak; E. Ragoucy; N. A. Slavnov
2014-06-19T23:59:59.000Z
We obtain determinant representations for the form factors of the monodromy matrix entries in quantum integrable models solvable by the nested algebraic Bethe ansatz and possessing $GL(3)$-invariant $R$-matrix. These representations can be used for the calculation of correlation functions in the models of physical interest.
Paris-Sud XI, UniversitÃ© de
Hierarchical multi-view representation of spatial data; application to the analysis of Corsican and views of spatial data for analyzing archeological data. This interdisciplinary project begins in the Corsica Island. Â· GIS representation of the previous data through spatial entities Â· Analysis
Pelachaud, Catherine
Pro- cessing and Computer Vision]: Image Representation; I.5.1 [Pattern Recognition]: ModelsA Multimodal Fuzzy Inference System Using a Continuous Facial Expression Representation for Emotion a multimodal fuzzy inference system for emotion detection. The system extracts and merges visual, acoustic
CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION
Mueller, JÃ¼rgen
CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION NUMBERS OF Co 2 J URGEN M ULLER AND JENS ROSENBOOM Abstract. We present an algorithm to condense induced, condensation has become one of the most valuable tools in computational representation theory of #12;nite
CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION
Mueller, JÃ¼rgen
CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION NUMBERS OF Co2 JÂ¨URGEN MÂ¨ULLER AND JENS ROSENBOOM Abstract. We present an algorithm to condense induced modules, condensation has become one of the most valuable tools in computational representation theory of finite groups
CSC 1051 M.A. Papalaskari, Villanova University Data Representation and
Papalaskari, Mary-Angela
CSC 1051 M.A. Papalaskari, Villanova University Data Representation and Applets CSC 1051 Â Data conversions Â· Image representation Â· Java Applets CSC 1051 M.A. Papalaskari, Villanova University #12;Reverse CSC 1051 M.A. Papalaskari, Villanova University Review #12;Memory devices store data of all kinds 9278
Parametric representation of a surface pencil with a common spatial geodesic
Tai, Chiew-Lan
Parametric representation of a surface pencil with a common spatial geodesic Guo-Jin Wanga , Kai a given spatial geodesic curve. We derive a parametric representation for a surface pencil whose members share the same geodesic curve as an isoparametric curve. By utilizing the Frenet trihedron frame along
Determinants, Pfaffians and QuasiFree Representations of the CAR Algebra
Wurzbacher, Tilmann
dimensional Spin c Â representation is obtained, via a ShaleÂStinespring implementation of Bogolubov transfor]). Alternatively, our constructions can be viewed as a geometrization of the theorems of PowersÂStÃ¸rmer and ShaleÂStinespring representations): this is the geometrical verÂ sion of the ShaleÂStinespring theorem on the implementation
Statistical representation of a spray as a point process S. Subramaniam a)
Subramaniam, Shankar
Statistical representation of a spray as a point process S. Subramaniam a) Department of Mechanical# The statistical representation of a spray as a finite point process is investigated. One objective is to develop a better understanding of how singleÂpoint statistical information contained in descriptions
UCP-Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier
Boutilier, Craig
UCP-Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier@cs.bgu.ac.il Abstract We propose a directed graphical representation of util- ity functions, called UCP-networks. The network de- composes a utility function into a number of additive factors, with the directionality
Baumgartner, Gerald
representations, software tools, and user interface services needed for the complete integration of all documents document and link structure with fineÂgrained revision control, specialized 1 #12; link semantics The proposed research will identify the document representations, software tools, and user interface services
3D binary anti-commutative operadic Lax representations for harmonic oscillator
Eugen Paal; Jyri Virkepu
2008-06-08T23:59:59.000Z
It is explained how the time evolution of the operadic variables may be introduced by using the operadic Lax equation. The operadic Lax representations for the harmonic oscillator are constructed in 3-dimensional binary anti-commutative algebras. As an example, an operadic Lax representation for the harmonic oscillator in the Lie algebra sl(2) is constructed.
Johannesson, Henrik
and understanding For the degree of Licentiate of Philosophy in Digital Representation and for the degree of Doctor relevant to his or her own field of artistic production. Competence and skills For the degree of Licentiate of Licentiate of Philosophy in Digital Representation and for the degree of Doctor of Philosophy in Digital
AER EAR: A Matched Silicon Cochlea Pair with Address Event Representation Interface
Liu, Shih-Chii
AER EAR: A Matched Silicon Cochlea Pair with Address Event Representation Interface AndrÃ© van, the Address Event Representation (AER) interface has become the standard interface protocol in recent years. The AER approach allows us to model biological systems using discrete level (spikes) and continuous
Smith, Bradon T L
2011-01-11T23:59:59.000Z
‘It is written’: Representations of Determinism in Contemporary Popular Science Writing and Contemporary British Fiction Bradon T. L. Smith Downing College July 2010 This dissertation... ‘It is written’: Representations of Determinism in Contemporary Popular Science Writing and Contemporary British Fiction Bradon T. L. Smith Downing College July 2010 This dissertation...
Paris-Sud XI, Université de
Hierarchical Representation of Videos with Spatio-Temporal Fibers Ratnesh Kumar Guillaume Charpiat representation of videos, as spatio- temporal fibers. These fibers are clusters of trajectories that are meshed spatially in the image domain. They form a hier- archical partition of the video into regions
Rangeland Ecology & Management Spatially-explicit representation of state-and-transition models
Rangeland Ecology & Management Spatially-explicit representation of state-and-transition models state-and-transition models (STMs) to spatial units is a valuable management tool for structuring ground ManagerÂ® from Aries Systems Corporation #12;1 Spatially-Explicit Representation of State-and-Transition
Schur Convex Functionals: Fatou Property and Representation Bogdan Grechuk and Michael Zabarankin
probability space. 1 Introduction In risk analysis and finance, the uncertainty inherent in a random variable representations for positively homogeneous convex functionals have long been a major mod- eling tool in decision property. In particular, the existing quantile representations for law invariant coherent risk measures
Horn's problem and semi-stability for quiver representations W. Crawley-Boevey and Ch. Gei
GeiÃ?, Christof
for the eigen- values of H, which we list in decreasing order, and repeat each value according to itsHorn's problem and semi-stability for quiver representations W. Crawley-Boevey and Ch. Gei#25; 1 by Derksen and Weyman [2] using properties of semi-invariants for representations of a certain quiver
Soldan, D. L.; Ahmed, N.; Stearns, S. D.
1980-01-01T23:59:59.000Z
The use of the sequential regression (SER) algorithm (Electron. Lett., 14, 118(1978); 13, 446(1977)) for long-term processing applications is limited by two problems that can occur when an SER predictor has more weights than required to predict the input signal. First, computational difficulties related to updating the autocorrelation matrix inverse could arise, since no unique least-squares solution exists. Second, the predictor strives to remove very low-level components in the input, and hence could implement a gain function that is essentially zero over the entire passband. The predictor would then tend to become a no-pass filter which is undesirable in certain applications, e.g., intrusion detection (SAND--78-1032). Modifications to the SER algorithm that overcome the above problems are presented, which enable its use for long-term signal processing applications. 3 figures.
Distributed, Cross-Platform, and Regression Testing Architecture for Service-Oriented Architecture
Bassil, Youssef
2012-01-01T23:59:59.000Z
As per leading IT experts, today's large enterprises are going through business transformations. They are adopting service-based IT models such as SOA to develop their enterprise information systems and applications. In fact, SOA is an integration of loosely-coupled interoperable components, possibly built using heterogeneous software technologies and hardware platforms. As a result, traditional testing architectures are no more adequate for verifying and validating the quality of SOA systems and whether they are operating to specifications. This paper first discusses the various state-of-the-art methods for testing SOA applications, and then it proposes a novel automated, distributed, cross-platform, and regression testing architecture for SOA systems. The proposed testing architecture consists of several testing units which include test engine, test code generator, test case generator, test executer, and test monitor units. Experiments conducted showed that the proposed testing architecture managed to use p...
Johnston, Walter Edward
1965-01-01T23:59:59.000Z
) b 23 + W ( 3)b E (W'(x3) El b2 + W" (x3 E) b" ) 3 " ' "3 23 E (W (x ) + W (x ))B2 x3 '23 (3. 21) since W'(x ) + W" (x ) = l. 3 3 It should also be noted that if any group j (except 0) is not large enough to provide regression estimates... of The General Solution or that found in the previous section) from each of the t groups. Let b represent the estimate of B from the t-th group. Then an i estimate of the variance of b is found by the equation k Var(b)- E ( b -b ) /k 1 t i i k k . E t~l (3...
Harlim, John, E-mail: jharlim@psu.edu [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States)] [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States); Mahdi, Adam, E-mail: amahdi@ncsu.edu [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States)] [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States); Majda, Andrew J., E-mail: jonjon@cims.nyu.edu [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 (United States)
2014-01-15T23:59:59.000Z
A central issue in contemporary science is the development of nonlinear data driven statistical–dynamical models for time series of noisy partial observations from nature or a complex model. It has been established recently that ad-hoc quadratic multi-level regression models can have finite-time blow-up of statistical solutions and/or pathological behavior of their invariant measure. Recently, a new class of physics constrained nonlinear regression models were developed to ameliorate this pathological behavior. Here a new finite ensemble Kalman filtering algorithm is developed for estimating the state, the linear and nonlinear model coefficients, the model and the observation noise covariances from available partial noisy observations of the state. Several stringent tests and applications of the method are developed here. In the most complex application, the perfect model has 57 degrees of freedom involving a zonal (east–west) jet, two topographic Rossby waves, and 54 nonlinearly interacting Rossby waves; the perfect model has significant non-Gaussian statistics in the zonal jet with blocked and unblocked regimes and a non-Gaussian skewed distribution due to interaction with the other 56 modes. We only observe the zonal jet contaminated by noise and apply the ensemble filter algorithm for estimation. Numerically, we find that a three dimensional nonlinear stochastic model with one level of memory mimics the statistical effect of the other 56 modes on the zonal jet in an accurate fashion, including the skew non-Gaussian distribution and autocorrelation decay. On the other hand, a similar stochastic model with zero memory levels fails to capture the crucial non-Gaussian behavior of the zonal jet from the perfect 57-mode model.
Poisson regression analysis of the mortality among a cohort of World War II nuclear industry workers
Frome, E.L.; Cragle, D.L.; McLain, R.W. (Oak Ridge National Laboratory, TN (USA))
1990-08-01T23:59:59.000Z
A historical cohort mortality study was conducted among 28,008 white male employees who had worked for at least 1 month in Oak Ridge, Tennessee, during World War II. The workers were employed at two plants that were producing enriched uranium and a research and development laboratory. Vital status was ascertained through 1980 for 98.1% of the cohort members and death certificates were obtained for 96.8% of the 11,671 decedents. A modified version of the traditional standardized mortality ratio (SMR) analysis was used to compare the cause-specific mortality experience of the World War II workers with the U.S. white male population. An SMR and a trend statistic were computed for each cause-of-death category for the 30-year interval from 1950 to 1980. The SMR for all causes was 1.11, and there was a significant upward trend of 0.74% per year. The excess mortality was primarily due to lung cancer and diseases of the respiratory system. Poisson regression methods were used to evaluate the influence of duration of employment, facility of employment, socioeconomic status, birth year, period of follow-up, and radiation exposure on cause-specific mortality. Maximum likelihood estimates of the parameters in a main-effects model were obtained to describe the joint effects of these six factors on cause-specific mortality of the World War II workers. We show that these multivariate regression techniques provide a useful extension of conventional SMR analysis and illustrate their effective use in a large occupational cohort study.
Rainer Weissauer
2010-10-19T23:59:59.000Z
We construct a tensor functor from the category of super representations of the superlinear group Gl(m,n) over a field of characteristic zero to the category of super representations of the linear group Gl(m-n) over some extension field (for m at least equal to n). We show that this functor maps irreducible representations to isotypic representations, and we compute the multiplicities.
Paris-Sud XI, UniversitÃ© de
Efficient representation for formal verification of PLC programs * Vincent Gourcuff, Olivier De, an efficient representation of PLC programs is proposed. This representation includes only the states that are meaningful for properties proof. A method to translate PLC programs developed in Structured Text into Nu
Milnor K-theory and the graded representation ring
Guillot, Pierre
2011-01-01T23:59:59.000Z
Let F be a field, let G be its absolute Galois group, and let R(G, k) be the representation ring of G over a suitable field k. In this preprint we construct a ring homomorphism from the mod 2 Milnor K-theory k_*(F) to the graded ring gr R(G, k) associated to Grothendieck's \\gamma-filtration. We study this map in particular cases, as well as a related map involving the W-group of F rather than G. The latter is an isomorphism in all cases considered. Naturally this echoes the Milnor conjecture (now a theorem), which states that k_*(F) is isomorphic to the mod 2 cohomology of the absolute Galois group G, and to the graded Witt ring gr W(F). The machinery developed to obtain the above results seems to have independent interest in algebraic topology. We are led to construct an analog of the classical Chern character, which does not involve complex vector bundles and Chern classes but rather real vector bundles and Stiefel-Whitney classes. Thus we show the existence of a ring homomorphism whose source is the graded...
Young's natural representation of the symmetric groups of degree less than six
Swardstrom, Paul David
1967-01-01T23:59:59.000Z
and Reiner [5]. A few basic definitions are given before introducing the method used. Definition 1. 1. Let (' be a finite group and U an n-dimensional vector space over G, the field of complex numbers. A representation D of the group G..., if only one repre- sentation of a given class is known, others of the class may be obtained by appropriate isomorphic mappings. Definition 1. 5. A representation D is said to be reducible if its representation space U contains a proper i. nvariant...
Abushagar, S.A.
1988-08-01T23:59:59.000Z
The Sirte basin was developed in north Africa between the Tethys Sea and the Saharan shield during Late Cretaceous time and was the site of mixed siliciclastic and carbonate deposition throughout the Tertiary. A series of bioclastic limestones and shales was deposited around the basin rim. Shales were confined to the low-energy zones in the basin, whereas carbonates were deposited on the shelf areas. The Farrud Formation (equivalent to the Beda Formation in the central part) is the main reservoir for oil found in the western portion of the basin. The faunal assemblages and lithologies recognized in this formation apparently reflect a very shallow marine depositional environment. Source rocks are developed in organic-rich, transgressive shales (Dahra and Hagfa). Moldic, fenestral, and intraparticle porosities are the most common types recognized in the carbonate reservoirs of the Farrud Formation. Permeability is developed in part by processes such as dolomitization, leaching, and fracturing in the two progradational, regressive carbonate cycles, resulting in the exceptional Ghani field reservoirs. Hydrocarbons were trapped in these reservoirs due to the presence of a supratidal anhydrite cap rock.
Using regression equations to determine the relative importance of inputs to energy simulation tools
O'Neill, P.J.; Crawley, D.B.; Schliesing, J.S.
1991-08-01T23:59:59.000Z
A set of statistical regression equations was developed to predict relative heating and cooling loads of external zones of commercial buildings. The equations were derived from the coil loads predicted by several thousand DOE-2 simulations. These equations formed the basis for the building envelope criteria in ASHRAE/IES Standard 90.1-1989, Energy Efficient Design of New Commercial Buildings Except Low-Rise Residential Buildings.'' Because these equations predict relative loads, they can be used to determine the relative importance of a broad range of envelope parameters across a variety of climate types. This paper presents the procedure used to develop the equations. The relative importance of all the major loads input variables are discussed for a sample office building, for a broad range of climates. A load sensitivity analysis is then performed, which permits direct comparison of key envelope parameters. The analysis results provide general guidance to DOE-2 users as to the relative importance of specific loads input variables. 6 refs., 8 figs.
Regression analysis of residential air-conditioning energy consumption at Dhahran, Saudi Arabia
Abdel-Nabi, D.Y.; Zubair, S.M.; Abdelrahman, M.A.; Bahel, V. (Energy Systems Group, Div. of Energy Resources, Research Inst., King Fahd Univ. of Petroleum and Minerals, Dhahran (SA))
1990-01-01T23:59:59.000Z
The energy consumption of a house air conditioner located at Dhahran, Saudi Arabia, is modeled as a function of weather parameters and total (global) solar radiation on a horizontal surface. The selection of effective parameters that significantly influence energy consumption is carried out using general stepping regression methods. The problem of collinearity between the regressors is also investigated. The final model involves parameters of total solar radiation on a horizontal surface, wind speed, and temperature difference between the indoor and outdoor condition. However, the model coefficients are functions of relative humidity and/or temperature difference between the indoor and outdoor condition. Model adequacy is examined by the residual analysis technique. Model validation is carried out by the data-splitting technique. The sensitivity of the model indicates that relative humidity and temperature difference strongly influence the cooling energy consumption. It was found that an increase in relative humidity from 20% to 100% can cause a 100% increase in cooling energy consumption during the high cooling season.
Boyer, Edmond
Large scale nuclear sensor monitoring and diagnostics by means of an ensemble of regression models , Enrico Ziob a Institute for Energy Technology, Halden, Norway b Polytechnic of Milan, Milan, Italy actions for safely steering critical situations and preventing accidents. To avoid misleading information
Giannakis, Georgios
Regression via Sparsity Control With Application to Load Curve Data Cleansing Gonzalo Mateos, Student Member)norm with a nonconvex surrogate. The novel robust spline-based smoother is adopted to cleanse load curve data, a key on real load curve data corroborate the effectiveness of the novel sparsity-controlling robust estimators
and guidelines for improvement are presented. Following these guidelines leads to a local two- regression method to quantify the rate of accumulation. While a formal measure of the accumulation rate's uncertainty profiling floats capable of the same sorts of measurements as obtained by the hydrographic surveys were
Multiscale geometric modeling of macromolecules I: Cartesian representation
Xia, Kelin [Department of Mathematics, Michigan State University, MI 48824 (United States)] [Department of Mathematics, Michigan State University, MI 48824 (United States); Feng, Xin [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States)] [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States); Chen, Zhan [Department of Mathematics, Michigan State University, MI 48824 (United States)] [Department of Mathematics, Michigan State University, MI 48824 (United States); Tong, Yiying [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States)] [Department of Computer Science and Engineering, Michigan State University, MI 48824 (United States); Wei, Guo-Wei, E-mail: wei@math.msu.edu [Department of Mathematics, Michigan State University, MI 48824 (United States) [Department of Mathematics, Michigan State University, MI 48824 (United States); Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824 (United States)
2014-01-15T23:59:59.000Z
This paper focuses on the geometric modeling and computational algorithm development of biomolecular structures from two data sources: Protein Data Bank (PDB) and Electron Microscopy Data Bank (EMDB) in the Eulerian (or Cartesian) representation. Molecular surface (MS) contains non-smooth geometric singularities, such as cusps, tips and self-intersecting facets, which often lead to computational instabilities in molecular simulations, and violate the physical principle of surface free energy minimization. Variational multiscale surface definitions are proposed based on geometric flows and solvation analysis of biomolecular systems. Our approach leads to geometric and potential driven Laplace–Beltrami flows for biomolecular surface evolution and formation. The resulting surfaces are free of geometric singularities and minimize the total free energy of the biomolecular system. High order partial differential equation (PDE)-based nonlinear filters are employed for EMDB data processing. We show the efficacy of this approach in feature-preserving noise reduction. After the construction of protein multiresolution surfaces, we explore the analysis and characterization of surface morphology by using a variety of curvature definitions. Apart from the classical Gaussian curvature and mean curvature, maximum curvature, minimum curvature, shape index, and curvedness are also applied to macromolecular surface analysis for the first time. Our curvature analysis is uniquely coupled to the analysis of electrostatic surface potential, which is a by-product of our variational multiscale solvation models. As an expository investigation, we particularly emphasize the numerical algorithms and computational protocols for practical applications of the above multiscale geometric models. Such information may otherwise be scattered over the vast literature on this topic. Based on the curvature and electrostatic analysis from our multiresolution surfaces, we introduce a new concept, the polarized curvature, for the prediction of protein binding sites.
Complex-wide representation of material packaged in 3013 containers
Narlesky, Joshua E.; Peppers, Larry G.; Friday, Gary P.
2009-06-01T23:59:59.000Z
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.
Duguet, T; Ebran, J -P; Lesinski, T; Somà, V
2015-01-01T23:59:59.000Z
This programmatic paper lays down the possibility to reconcile the necessity to resum many-body correlations into the energy kernel with the fact that safe multi-reference energy density functional (EDF) calculations cannot be achieved whenever the Pauli principle is not strictly enforced, as is for example the case when many-body correlations are parametrized under the form of empirical density dependencies. Our proposal is to exploit a newly developed ab initio many-body formalism to guide the construction of safe, explicitly correlated and systematically improvable parametrizations of the {\\it off-diagonal} energy and norm kernels that lie at the heart of the nuclear EDF method. The many-body formalism of interest relies on the concepts of symmetry breaking {\\it and} restoration that have made the fortune of the nuclear EDF method and is, as such, amenable to this guidance. After elaborating on our proposal, we briefly outline the project we plan to execute in the years to come.
Dickie, Catherine Elizabeth
2009-07-03T23:59:59.000Z
Developmental dyslexia is widely believed to be caused either mainly or in part by an impairment of phonological representations. Although this hypothesis predicts that individuals with dyslexia should show deficits in ...
Hickey, Jeremiah Peter
2009-05-15T23:59:59.000Z
republic to a Constitutional democracy and, further, to debate competing visions of representation and democracy necessary to sustain political life and the democratic experience. Chapter I offers readers a literature review on constitutive rhetoric, a...
Bourdieuian Analysis on African Americans’ Under-representation at Parks and Outdoor Recreation
Lee, KangJae
2013-07-18T23:59:59.000Z
This study used Pierre Bourdieu’s theory of practice and analyzed African Americans’ under-representation at parks and in outdoor recreation. It focused on Cedar Hill State Park (CHSP) located in Cedar Hill, Texas and investigated local African...
Phillips, Reesa Brooke
2008-01-01T23:59:59.000Z
This thesis presents the design and implementation of a geographic information systems framework in which engineering systems can be created and analyzed. This framework extends the hierarchical systems knowledge representation ...
A representation of changing heading direction in human cortical areas pVIP and CSv
Royal Holloway, University of London
Running title: Changing heading direction in the human brain Keywords: egomotion; f1 A representation of changing heading direction in human cortical in the environment, we continually change direction. Much work has examined how the brain
Paris-Sud XI, UniversitÃ© de
Standardizing the management and the representation of multilingual data: the Multi, in the field of natural language processing, makes particularly acute the question of standardization. The issues related to this standardization are of industrial, economic and cultural nature. This article
Levin, Judith G.
Datasets Leonid Zaslavsky National Center for Biotechnology Information National Library of Medicine dataset is characterized by low estimated values of the Kolmogorov (box) dimension. Multi- scale methodologies allow interactive visual representation of the dataset and accelerate computations by importance
Iconography analysis of the representations of the Last Judgement in late medieval France
Ho, Sau Fong
2012-11-28T23:59:59.000Z
The aim of this thesis is to analyse the iconographic elements in large-scale representations of the Last Judgement in late medieval France, c. 1380 – c. 1520. The study begins by examining the sudden surge of the subject ...
If Memory Serves: The effect of mental representations of size on prehension motions
Wilson, Stuart P
2009-07-03T23:59:59.000Z
While previous studies have shown an effect of familiar size after recent exposure to an object (McIntosh & Lashley, 2008), this study aims to test the effect of object experience and potential mental representations that ...
Arguing About Plans: Plan Representation and Reasoning for Mixed-Initiative Planning
Ferguson, George
Arguing About Plans: Plan Representation and Reasoning for Mixed-Initiative Planning George into a microphone. Over thirteen hours of inter- action have been collected and transcribed (see (Gross, Allen
Cakewalking into representation : Gabriele Münter's America travels (1898-1900) and art of dailiness
Bible, Ann Vollmann
2008-01-01T23:59:59.000Z
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 ...
Wavelet-based multiresolution data representations for scalable distributed GIS services
Wu, Jingsong, 1972-
2002-01-01T23:59:59.000Z
Demand for providing scalable distributed GIS services has been growing greatly as the Internet continues to boom. However, currently available data representations for these services are limited by a deficiency of scalability ...
Making the numbers : agency in computer-generated formal representations of sales work
Cunha, José João Marques de Oliveria Vieira da
2006-01-01T23:59:59.000Z
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 ...
Matteson, Shirley Marie
2009-05-15T23:59:59.000Z
Synopsis ......................................................................................... 63 Importance of Study........................................................................ 63 Importance of Algebra and Algebraic Thinking... for Learning.............................................................................. 64 Transitioning to Algebraic Thinking from Arithmetic.......... 65 Developing Facility with Representational Models.............. 65 Facility with Algebraic...
None
2013-05-28T23:59:59.000Z
Check out this robotics breakthrough which allows robots to behave autonomously. For more information about INL research projects, visit http://www.facebook.com/idahonationallaboratory.
None
2011-01-01T23:59:59.000Z
Check out this robotics breakthrough which allows robots to behave autonomously. For more information about INL research projects, visit http://www.facebook.com/idahonationallaboratory.
Scalar products in models with GL(3) trigonometric R-matrix. Determinant representation
N. A. Slavnov
2015-01-26T23:59:59.000Z
We study quantum integrable models with the GL(3) trigonometric R-matrix solvable by the nested algebraic Bethe ansatz. We derive a determinant representation for a special case of scalar products of Bethe vectors. This representation allows one to find a determinant formula for form factor of one of the monodromy matrix entries. We also point out essential difference between form factors in the models with the Gl(3) trigonometric R-matrix and their analogs in GL(3)-invariant models.
Unitary representations of affine Hecke algebras related to Macdonald spherical functions
J. F. van Diejen; E. Emsiz
2012-09-14T23:59:59.000Z
For any reduced crystallographic root system, we introduce a unitary representation of the (extended) affine Hecke algebra given by discrete difference-reflection operators acting in a Hilbert space of complex functions on the weight lattice. It is shown that the action of the center under this representation is diagonal on the basis of Macdonald spherical functions. As an application, we compute an explicit Pieri formula for these spherical functions.
Quantization maps, algebra representation, and non-commutative Fourier transform for Lie groups
Guedes, Carlos; Oriti, Daniele [Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Mühlenberg 1, 14476 Potsdam (Germany)] [Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Mühlenberg 1, 14476 Potsdam (Germany); Raasakka, Matti [Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Mühlenberg 1, 14476 Potsdam (Germany) [Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Mühlenberg 1, 14476 Potsdam (Germany); LIPN, Institut Galilée, Université Paris-Nord, 99, av. Clement, 93430 Villetaneuse (France)
2013-08-15T23:59:59.000Z
The phase space given by the cotangent bundle of a Lie group appears in the context of several models for physical systems. A representation for the quantum system in terms of non-commutative functions on the (dual) Lie algebra, and a generalized notion of (non-commutative) Fourier transform, different from standard harmonic analysis, has been recently developed, and found several applications, especially in the quantum gravity literature. We show that this algebra representation can be defined on the sole basis of a quantization map of the classical Poisson algebra, and identify the conditions for its existence. In particular, the corresponding non-commutative star-product carried by this representation is obtained directly from the quantization map via deformation quantization. We then clarify under which conditions a unitary intertwiner between such algebra representation and the usual group representation can be constructed giving rise to the non-commutative plane waves and consequently, the non-commutative Fourier transform. The compact groups U(1) and SU(2) are considered for different choices of quantization maps, such as the symmetric and the Duflo map, and we exhibit the corresponding star-products, algebra representations, and non-commutative plane waves.
Sukop, Mike
Advances on Reduced Reservoir Representation for Fast Analysis of Oil Recovery Opportunities of reservoirs. The strategy facilitates the task of producing recovery projections on individual or a portfolio of reservoirs, by using space reduction techniques and analytical simulations. The drive for this type
Christensen, N.C.; Emery, J.D.; Smith, M.L.
1985-04-29T23:59:59.000Z
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.
Power spectrum in the Chaplygin gas model: tachyonic, fluid and scalar field representations
C. E. M. Batista; J. C. Fabris; M. Morita
2009-04-24T23:59:59.000Z
The Chaplygin gas model, characterized by an equation of state of the type $p = - \\frac{A}{\\rho}$ emerges naturally from the Nambu-Goto action of string theory. This fluid representation can be recast under the form of a tachyonic field given by a Born-Infeld type Lagrangian. At the same time, the Chaplygin gas equation of state can be obtained from a self-interacting scalar field. We show that, from the point of view of the supernova type Ia data, the three representations (fluid, tachyonic, scalar field) lead to the same results. However, concerning the matter power spectra, while the fluid and tachyonic descriptions lead to exactly the same results, the self-interacting scalar field representation implies different statistical estimations for the parameters. In particular, the estimation for the dark matter density parameter in the fluid representation favors a universe dominated almost completely by dark matter, while in the self-interacting scalar field representation the prediction is very closed to that obtained in the $\\Lambda$CDM model.
R. C. King; N. I. Stoilova; J. Van der Jeugt
2006-02-17T23:59:59.000Z
An explicit construction of all finite-dimensional irreducible representations of the Lie superalgebra gl(1|n) in a Gel'fand-Zetlin basis is given. Particular attention is paid to the so-called star type I representations (``unitary representations''), and to a simple class of representations V(p), with p any positive integer. Then, the notion of Wigner Quantum Oscillators (WQOs) is recalled. In these quantum oscillator models, the unitary representations of gl(1|DN) are physical state spaces of the N-particle D-dimensional oscillator. So far, physical properties of gl(1|DN) WQOs were described only in the so-called Fock spaces W(p), leading to interesting concepts such as non-commutative coordinates and a discrete spatial structure. Here, we describe physical properties of WQOs for other unitary representations, including certain representations V(p) of gl(1|DN). These new solutions again have remarkable properties following from the spectrum of the Hamiltonian and of the position, momentum, and angular momentum operators. Formulae are obtained that give the angular momentum content of all the representations V(p) of gl(1|3N), associated with the N-particle 3-dimensional WQO. For these representations V(p) we also consider in more detail the spectrum of the position operators and their squares, leading to interesting consequences. In particular, a classical limit of these solutions is obtained, that is in agreement with the correspondence principle.
Classification of Kac representations in the logarithmic minimal models LM(1,p)
Jorgen Rasmussen
2010-12-23T23:59:59.000Z
For each pair of positive integers r,s, there is a so-called Kac representation (r,s) associated with a Yang-Baxter integrable boundary condition in the lattice approach to the logarithmic minimal model LM(1,p). We propose a classification of these representations as finitely-generated submodules of Feigin-Fuchs modules, and present a conjecture for their fusion algebra which we call the Kac fusion algebra. The proposals are tested using a combination of the lattice approach and applications of the Nahm-Gaberdiel-Kausch algorithm. We also discuss how the fusion algebra may be extended by inclusion of the modules contragredient to the Kac representations, and determine polynomial fusion rings isomorphic to the conjectured Kac fusion algebra and its contragredient extension.
Matrix elements for type 1 unitary irreducible representations of the Lie superalgebra gl(m|n)
Gould, Mark D.; Isaac, Phillip S.; Werry, Jason L. [School of Mathematics and Physics, The University of Queensland, St Lucia, QLD 4072 (Australia)] [School of Mathematics and Physics, The University of Queensland, St Lucia, QLD 4072 (Australia)
2014-01-15T23:59:59.000Z
Using our recent results on eigenvalues of invariants associated to the Lie superalgebra gl(m|n), we use characteristic identities to derive explicit matrix element formulae for all gl(m|n) generators, particularly non-elementary generators, on finite dimensional type 1 unitary irreducible representations. We compare our results with existing works that deal with only subsets of the class of type 1 unitary representations, all of which only present explicit matrix elements for elementary generators. Our work therefore provides an important extension to existing methods, and thus highlights the strength of our techniques which exploit the characteristic identities.
A Representation of Projective Space by the Points of a Line
Hess, George Wellman
1911-05-01T23:59:59.000Z
fG fW. 1911 (Mathematics) Representation of project ive space by the points o JL i-ii^5 • A REPRESENTATION OF PROJECTIVE SPACE BY THE POINTS OF A LINE. GEORGE TOLLMAN "BESS. A thesis submitted in partial fulfilment of the requirements...-to-one recipro- cal correspondence with the elements of another planar pencil, which may be either a pencil of points on the same line 1 or on a line distinct from 1 or a pencil of planar lines [l 1!. EJLfiSfif 'EfiCiSfifiaiixaiifia. If IF*] and [O1...
Spectrum of SU(2) gauge theory with two fermions in the adjoint representation
Ari Hietanen; Jarno Rantaharju; Kari Rummukainen; Kimmo Tuominen
2008-10-21T23:59:59.000Z
We present preliminary results of lattice simulations of SU(2) gauge theory with two Wilson fermions in the adjoint representation. This theory has recently attracted considerable attention because it might possess an infrared fixed point (or an almost-fixed-point), and hence be a candidate for a walking technicolor theory. In this work we study the particle spectrum of the theory, and compare it with more familiar spectrum of the theory with SU(2) gauge fields and two flavors of fundamental representation fermions.
Abstract Error Groups Via Jones Unitary Braid Group Representations at q=i
Yong Zhang
2009-02-02T23:59:59.000Z
In this paper, we classify a type of abstract groups by the central products of dihedral groups and quaternion groups. We recognize them as abstract error groups which are often not isomorphic to the Pauli groups in the literature. We show the corresponding nice error bases equivalent to the Pauli error bases modulo phase factors. The extension of these abstract groups by the symmetric group are finite images of the Jones unitary representations (or modulo a phase factor) of the braid group at q=i or r=4. We hope this work can finally lead to new families of quantum error correction codes via the representation theory of the braid group.
Masuda, H.; Claridge, D. E.
2012-01-01T23:59:59.000Z
Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?for?simple?energy?performance?analysis ? 24?hour?cycle?variations?are?averaged?out?in?daily?data. ? The?dominant?driving?terms?of?most?buildings?follow?a?24?h?cycle.?(Rabl,?1992)? solar?irradiance,?OA?temperature,?ventilation,?occupancy?level,?lights?and?equipment?loads,? delayed?loads?due?to?thermal...
ON THE REPRESENTATION THEORY OF GL(n) OVER A p-ADIC DIVISION ALGEBRA AND UNITARITY IN
Tadic, Marko
ON THE REPRESENTATION THEORY OF GL(n) OVER A p-ADIC DIVISION ALGEBRA AND UNITARITY IN THE JACQUET of the representation theory of GL(m, A), assuming the conjecture that unitary parabolic induc- tion is irreducible for GL(m, A)'s. Among others, we obtain the formula for characters of irre- ducible unitary
Zhu, Song Chun
Video Primal Sketch: A Generic Middle-Level Representation of Video Zhi Han Zongben Xu Institute This paper presents a middle-level video representation named Video Primal Sketch (VPS), which integrates two. This paper makes three contributions: i) learning a dictionary of video primitives as parametric generative
Ji, Qundi
2010-07-14T23:59:59.000Z
transportation access. Moreover, the regression model for predicting appraised unit value of a parcel suggested that the coefficient of Number of Light Rail Stations was positive, while the coefficient of Number of Bus Stops was negative. This result contradicted...
Legal Representation of Dependent Children A 2012 Report on Florida's Patchwork System
Mazzotti, Frank
in the courtroom. I started to feel like I was not getting any information on my case. I was lost. If I had in the late `70s, early 1980s. At the outset, those children whose parents were charged with criminal abuse involvement. Parents were not entitled to attorney representation in all proceedings. Even the State, (HRS
Kirsh, David
of human cognition. By the same token, however, T&C's use of the MR model subjects their efforts to a setAbstract A model of "distributed cognition" is con- trasted with the "mental representation" model, this model characterizes cognition as "co-con- structed" by the participants. This approach is thus partic
PHYSICAL REVIEW B 83, 035108 (2011) Wannier representation of Z2 topological insulators
Vanderbilt, David
2011-01-01T23:59:59.000Z
PHYSICAL REVIEW B 83, 035108 (2011) Wannier representation of Z2 topological insulators Alexey A insulators in two dimensions. It is well known that there is a topological obstruction to the construction of interest in topological insulators. These are materials that are gapped in the bulk, just like ordinary
Accurate representation of surface tension using the level contour reconstruction method
Frey, Pascal
Accurate representation of surface tension using the level contour reconstruction method Seungwon methods for two-phase flows with surface tension which use fixed Eulerian grids occur at the two extremes surface tension forces. We present improvements to the interface reconstruction procedure in the level
A front-tracking algorithm for accurate representation of surface tension
Frey, Pascal
A front-tracking algorithm for accurate representation of surface tension Stephane Popinet particularly, we focus our attention on obtaining an accurate description of the surface-tension terms and the associated pressure jump. We consider the stationary Laplace solution for a bub- ble with surface tension
Improving the Representation of the Physical Atmosphere in Central California Using Satellite Data
Jacob, Daniel J.
constrained by observations. Moisture, Heat Capacity, Solar Radiation from Satellite Observations #12; EGHRImproving the Representation of the Physical Atmosphere in Central California Using Satellite Data/22/2006 8/23/2006 8/24/2006 Date Agreementindex(fraction) AI_cntrl AI_assim W0 #12;Central California
Iwasawa modules with extra structures and p-modular representations of GL2
Paris-Sud XI, UniversitÃ© de
Iwasawa modules with extra structures and p-modular representations of GL2 Stefano Morra Abstract Let F be a finite extension of Qp. We associate, to certain smooth p-modular represen- tations of GL2(F), a module S() on the mod p Iwasawa of the standard Iwahori subgroup I of GL2(F). When F
Paris-Sud XI, UniversitÃ© de
- 1 - Standardizing the management and the representation of multilingual data: the Multi Lingual to analyze some standards, as well as the related software tools that are used by professional translators the translation and localization activities. Next, we will introduce a methodology of standardization, whose
A Representation-Theoretic Model for k-Atoms Mark Haiman
Haiman, Mark D.
A Representation-Theoretic Model for k-Atoms Mark Haiman Li-Chung Chen University of California, Berkeley AMS Western Section Meeting Claremont McKenna College May 3, 2008 Haiman & Chen (U.C. Berkeley) k-Atoms lengths as Âµ. Haiman & Chen (U.C. Berkeley) k-Atoms AMS Claremont May 3, 2008 2 / 1 #12;Combinatorics
CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION
Mueller, JÃ¼rgen
CONDENSATION OF INDUCED REPRESENTATIONS AND AN APPLICATION: THE 2-MODULAR DECOMPOSITION an algorithm to condense induced modules for a finite group over a finite field. It is built. Introduction In recent years, condensation has become one of the most valuable tools in computational
Su, Li; Zulfiqar, Isma; Jamshed, Fawad; Fonteneau, Elisabeth; Marslen-Wilson, William
2014-11-12T23:59:59.000Z
were obtained using a GRAPPA 3D MPRAGE sequence (TR = 2250ms; TE = 2.99ms; flip-angle = 9?; acceleration factor = 2) on a 3 T Trio (Siemens, Erlangen, Germany) with 1mm isotropic voxels. From the MRI data, a representation of each participant’s cerebral...
Efficient Representation of Cortical Convolutions for the Analysis of Brain Surface Topology
Blanz, Volker
Efficient Representation of Cortical Convolutions for the Analysis of Brain Surface Topology Peter of the brain in MR and CT clearly con- veying the whole surface topology. For the comparison of the provided with direct volume rendering. Considering brain information exclusively, and ensuring a standardized
Paragios, Nikos
Prior Knowledge, Level Set Representations & Visual Grouping Mikael Rousson (mikael.rousson@siemens.com) Siemens Corporate Research 755 College Road East, Princeton, NJ 08540, USA Nikos Paragios (nikos plane of the prior model modulo a similarity transformation. The optimization of a statistical metric
Marginally trapped surfaces in L4 an extended Weierstrass-Bryant representation
GÃ¡lvez, JosÃ© Antonio
Marginally trapped surfaces in L4 and an extended Weierstrass-Bryant representation Juan A. Aledoa-30203 Cartagena, Murcia, Spain. e-mail: pablo.mira@upct.es Date: February 2, 2005 Keywords: Bryant surfaces in L3, and the Bryant repre- sentation for mean curvature one surfaces in the hyperbolic 3-space
Brutlag, Doug
Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular pathways. We introduce Stochastic Roadmap Simulation (SRS), a new approach for exploring the ki- netics a roadmap. A roadmap is computed by sampling a molecule's conformation space at random. The computation does
Modelling fish population movements: from an individual-based representation to an
Paris-Sud XI, UniversitÃ© de
Modelling fish population movements: from an individual-based representation to an advection`ete cedex, France Abstract In this paper we address the problem of modelling fish population movements. We is formulated as a biased random walk model in which the velocity of each fish has both a deterministic
DIFFUSION MAPS, REDUCTION COORDINATES AND LOW DIMENSIONAL REPRESENTATION OF STOCHASTIC SYSTEMS
DIFFUSION MAPS, REDUCTION COORDINATES AND LOW DIMENSIONAL REPRESENTATION OF STOCHASTIC SYSTEMS R in computational physics, chemistry and biology. In this paper we use the first few eigenfunctions of the backward evolution of a stochastic system, and show that they are optimal under a certain mean squared error
Landy, David
representational resources highly sensitive to smaller scale causal (and functional) variations for comments on a previous draft. Conceptual discontinuity involves recycling old processes in new domains doi boundaries, as well as boundaries between perceptualÂmotor and conceptual cognitive resources may be useful
Representation of Knowledge Resource in the context of Economic Intelligence Systems
Paris-Sud XI, UniversitÃ© de
, treatment and use of relevant information for economic actors in decision making process of knowledge in the decision making projects of the Economic Intelligence process by acquiring, organizing1 Representation of Knowledge Resource in the context of Economic Intelligence Systems Oladejo
Mining Massive Archives of Mice Sounds with Symbolized Representations Jesin Zakaria1
Zordan, Victor
Mining Massive Archives of Mice Sounds with Symbolized Representations Jesin Zakaria1 Sarah that the time is ripe for archives of mice songs to fall into the purview of data mining. We show a novel technique for mining mice vocalizations directly in the visual (spectrogram) space that practitioners
White noise analysis on manifolds and the energy representation of a gauge group
Takahiro Hasebe
2011-01-15T23:59:59.000Z
The energy representation of a gauge group on a Riemannian manifold has been discussed by several authors. Y. Shimada has shown the irreducibility for compact Riemannian manifold, using white noise analysis. In this paper we extend its technique to noncompact Riemannian manifolds which have differential operators satisfying some conditions.
A Comparative Study of Time-Frequency Representations for Fault Detection in Wind Turbine
Paris-Sud XI, UniversitÃ© de
A Comparative Study of Time-Frequency Representations for Fault Detection in Wind Turbine El of wind energy, minimization and prediction of maintenance operations in wind turbine is of key importance. In variable speed turbine generator, advanced signal processing tools are required to detect and diagnose
Title of Dissertation: A Compact Graphical Representation of User Interface Interaction Objects
Golbeck, Jennifer
Professor Kent Norman, Ph.D. #12; Ã£ Ã£ Copyright by David Andrew Carr 1995 #12; Acknowledgments First Interaction Objects David Andrew Carr, Doctor of Philosophy, 1995 Dissertation directed by: Professor Ben Representation of User Interface Interaction Objects by David Andrew Carr Dissertation Submitted to the Faculty
Coordinate Representation of the One-Spinon One-Holon Wavefunction and Spinon-Holon Interaction
Laughlin, Robert B.
Coordinate Representation of the One-Spinon One-Holon Wavefunction and Spinon-Holon Interaction B-spinon one-holon wavefunction we show that spinons and holons in the supersymmetric t-J model with 1/r2 interaction attract each other. The interaction causes a probability enhancement in the one-spinon one-holon