Browsing
     by title


0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

or enter first few letters:   
OK
Full Text
Peer Reviewed
See detailUnified European Gravity Reference Network 2002 (UEGN02)—Status 2004
Boedecker, G.; Francis, Olivier UL; Kenyeres, A.

in Jekeli, C.; Bastos, L.; Fernandes, J. (Eds.) Gravity, Geoid and Space Missions - GGSM 2004 (2005)

Detailed reference viewed: 133 (7 UL)
Full Text
Peer Reviewed
See detailUnified European Gravity Reference Network 2002 (UEGN2002), a Status Report
Kenyeres, A.; Boedecker, G.; Francis, Olivier UL

in Tziavos, Ilias N. (Ed.) Gravity and Geoid 2002 (2003)

Detailed reference viewed: 74 (2 UL)
Full Text
Peer Reviewed
See detailUnified Framework for Secrecy Characteristics with Mixture of Gaussian (MoG) Distribution
Kong, Long UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in IEEE Wireless Communications Letters (2020)

The mixture of Gaussian (MoG) distribution was proposed to model the wireless channels by implementing the completely unsupervised expectation-maximization (EM) learning algorithm. With the high ... [more ▼]

The mixture of Gaussian (MoG) distribution was proposed to model the wireless channels by implementing the completely unsupervised expectation-maximization (EM) learning algorithm. With the high convenience for density estimation applications, the focus of this letter is supposed to investigate the secrecy metrics, including secrecy outage probability (SOP), the lower bound of SOP, the probability of non-zero secrecy capacity (PNZ), and the average secrecy capacity (ASC) from the information-theoretic perspective. The above-mentioned metrics are derived with simple and unified closed-form expressions. The effectiveness of our obtained analytical expressions are successfully examined and compared with Monte-Carlo simulations. One can conclude that this letter provides a simple but effective closed-form secrecy analysis solution exploiting the MoG distribution. [less ▲]

Detailed reference viewed: 135 (5 UL)
Full Text
Peer Reviewed
See detailUnified Multi-Lateral Filter for Real-Time Depth Map Enhancement
Garcia Becerro, Frederic UL; Aouada, Djamila UL; Mirbach, Bruno et al

in Image and Vision Computing (2015), 41

Detailed reference viewed: 191 (3 UL)
Full Text
Peer Reviewed
See detailA unified polygonal locking-free thin/thick smoothed plate element
Katili, Irwan; Maknun, Imam Jauhari; Katili, Andi Makarim et al

in Composite Structures (2019), 219

A novel cell-based smoothed finite element method is proposed for thin and thick plates based on Reissner-Mindlin plate theory and assumed shear strain fields. The domain is discretized with arbitrary ... [more ▼]

A novel cell-based smoothed finite element method is proposed for thin and thick plates based on Reissner-Mindlin plate theory and assumed shear strain fields. The domain is discretized with arbitrary polygons and on each side of the polygonal element, discrete shear constraints are considered to relate the kinematical and the independent shear strains. The plate is made of functionally graded material with effective properties computed using the rule of mixtures. The influence of various parameters, viz., the plate aspect ratio and the material gradient index on the static bending response and the first fundamental frequency is numerically studied. It is seen that the proposed element: (a) has proper rank; (b) does not require derivatives of shape functions and hence no isoparametric mapping required; (c) independent of shape and size of elements and (d) is free from shear locking. [less ▲]

Detailed reference viewed: 87 (0 UL)
Full Text
See detailUnified Satellite and Terrestrial ACM Design
Haqiqatnejad, Alireza UL; Kayhan, Farbod UL

in International Communications Satellite Systems Conference (ICSSC), Trieste 16-19 October 2017 (2017, October 17)

First step towards integrating satellite and terrestrial standards at the physical layer is to design a unified packet frame structure, and in particular, a unified adaptive coding and modulation (ACM ... [more ▼]

First step towards integrating satellite and terrestrial standards at the physical layer is to design a unified packet frame structure, and in particular, a unified adaptive coding and modulation (ACM) scheme without substantial loss in either of the systems. In this paper we introduce a methodology to design such a set of modulation and coding (MODCOD) combinations. In the first step, we design a set of base MODCODs for the AWGN channel. Then, for any other given channel model, we build a new set of MODCODs through a suitable transformation of the base MODCODs. We mainly focus on two types of channels: (a) non-linear satellite channels, and (b) AWGN channels with fading. We compare our results with latest digital video broadcasting standards, namely, DVB-T2 and DVB-S2X. [less ▲]

Detailed reference viewed: 255 (46 UL)
Full Text
Peer Reviewed
See detailA unified successive pseudoconvex approximation framework
Yang, Yang UL; Pesavento, Marius

in IEEE Transactions on Signal Processing (2017), 65(13), 3313-3328

Detailed reference viewed: 293 (20 UL)
Full Text
Peer Reviewed
See detailA unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data.
Hu, Hao; Roach, Jared C.; Coon, Hilary et al

in Nature Biotechnology (2014), 32(7), 663-669

High-throughput sequencing of related individuals has become an important tool for studying human disease. However, owing to technical complexity and lack of available tools, most pedigree-based ... [more ▼]

High-throughput sequencing of related individuals has become an important tool for studying human disease. However, owing to technical complexity and lack of available tools, most pedigree-based sequencing studies rely on an ad hoc combination of suboptimal analyses. Here we present pedigree-VAAST (pVAAST), a disease-gene identification tool designed for high-throughput sequence data in pedigrees. pVAAST uses a sequence-based model to perform variant and gene-based linkage analysis. Linkage information is then combined with functional prediction and rare variant case-control association information in a unified statistical framework. pVAAST outperformed linkage and rare-variant association tests in simulations and identified disease-causing genes from whole-genome sequence data in three human pedigrees with dominant, recessive and de novo inheritance patterns. The approach is robust to incomplete penetrance and locus heterogeneity and is applicable to a wide variety of genetic traits. pVAAST maintains high power across studies of monogenic, high-penetrance phenotypes in a single pedigree to highly polygenic, common phenotypes involving hundreds of pedigrees. [less ▲]

Detailed reference viewed: 108 (2 UL)
Full Text
See detailUnified treatment of Artin-type problems
Järviniemi, Olli; Perucca, Antonella UL

E-print/Working paper (n.d.)

Detailed reference viewed: 27 (0 UL)
Full Text
Peer Reviewed
See detailUnified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws
Martinez-Seis, Bella; Pichardo-Lagunas, Obdulia; Koff, Harlan UL et al

in Data (2022), 7(91),

This paper presents a corpus of pre-processed Mexican laws for computational tasks. The main contributions are the proposed JSON structure and the methodology used to achieve the semi-structured corpus ... [more ▼]

This paper presents a corpus of pre-processed Mexican laws for computational tasks. The main contributions are the proposed JSON structure and the methodology used to achieve the semi-structured corpus with the selected algorithms. Law PDF documents were transformed into plain text, unified by a deconstruction of law–document structure, and labeled with natural language processing techniques considering part of speech (PoS); a process of entity extraction was also performed. The corpus includes the Mexican constitution and the Mexican laws that were collected from the official site in PDF format repealed before 14 October 2021. The collection has 305 documents, including: the Mexican constitution, 289 laws, 8 federal codes, 3 regulations, 2 statutes, 1 decree, and 1 ordinance. The semi-structured database includes the transformation of the set of laws from PDF format to a digital representation in order to facilitate its computational analysis. The documents were migrated to JSON type files to represent internal hierarchical relations. In addition, basic natural language processing techniques were implemented on laws for the identification of part of speech and named entities. The presented data set is mainly useful for text analysis and data science. It could be used for various legislative analysis tasks including: comprehension, interpretation, translation, classification, accessibility, coherence, and searches. Finally, we present some statistic of the identified entities and an example of the usefulness of the corpus for environmental laws. [less ▲]

Detailed reference viewed: 30 (0 UL)
Full Text
Peer Reviewed
See detailUniform Circuits & Boolean Proof Nets
Mogbil, Virgile; Rahli, Vincent UL

in LFCS 2007 (2007)

Detailed reference viewed: 114 (0 UL)
Full Text
Peer Reviewed
See detailUniform gradient estimates on manifolds with a boundary and applications
Cheng, Li Juan UL; Thalmaier, Anton UL; Thompson, James UL

in Analysis and Mathematical Physics (2018), 8(4), 571-588

We revisit the problem of obtaining uniform gradient estimates for Dirichlet and Neumann heat semigroups on Riemannian manifolds with boundary. As applications, we obtain isoperimetric inequalities, using ... [more ▼]

We revisit the problem of obtaining uniform gradient estimates for Dirichlet and Neumann heat semigroups on Riemannian manifolds with boundary. As applications, we obtain isoperimetric inequalities, using Ledoux's argument, and uniform quantitative gradient estimates, firstly for bounded C^2 functions with boundary conditions and then for the unit spectral projection operators of Dirichlet and Neumann Laplacians. [less ▲]

Detailed reference viewed: 249 (65 UL)
Full Text
See detailA UNIFORM RESULT FOR THE DIMENSION OF FRACTIONAL BROWNIAN MOTION LEVEL SETS
Daw, Lara UL

in Statistics and Probability Letters (2020)

Let B={Bt:t≥0} be a real-valued fractional Brownian motion of index H∈(0,1). We prove that the macroscopic Hausdorff dimension of the level sets Lx={t∈R+:Bt=x} is, with probability one, equal to 1−H for ... [more ▼]

Let B={Bt:t≥0} be a real-valued fractional Brownian motion of index H∈(0,1). We prove that the macroscopic Hausdorff dimension of the level sets Lx={t∈R+:Bt=x} is, with probability one, equal to 1−H for all x∈R. [less ▲]

Detailed reference viewed: 138 (12 UL)
Full Text
Peer Reviewed
See detailUniform Sampling of SAT Solutions for Configurable Systems: Are We There Yet?
Plazar, Quentin; Acher, Mathieu; Perrouin, Gilless et al

in 12th IEEE Conference on Software Testing, Validation and Verification, ICST 2019, Xi'an, China, April 22-27, 2019 (2019)

Detailed reference viewed: 92 (1 UL)
Full Text
Peer Reviewed
See detailUniformity and inexact version of a proximal method for metrically regular mappings
Aragón Artacho, Francisco Javier UL; Geoffroy, M. H.

in Journal of Mathematical Analysis and Applications (2007), 335(1), 168-183

We study stability properties of a proximal point algorithm for solving the inclusion 0∈T(x) when T is a set-valued mapping that is not necessarily monotone. More precisely we show that the convergence of ... [more ▼]

We study stability properties of a proximal point algorithm for solving the inclusion 0∈T(x) when T is a set-valued mapping that is not necessarily monotone. More precisely we show that the convergence of our algorithm is uniform, in the sense that it is stable under small perturbations whenever the set-valued mapping T is metrically regular at a given solution. We present also an inexact proximal point method for strongly metrically subregular mappings and show that it is super-linearly convergent to a solution to the inclusion 0∈T(x). [less ▲]

Detailed reference viewed: 87 (5 UL)
Full Text
Peer Reviewed
See detailUnifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions
Schütt, Kristof; Gastegger, Michael; Tkatchenko, Alexandre UL et al

in Nature Communications (2019), 10(1), 5024

Machine learning advances chemistry and materials science by enabling large-scale exploration of chemical space based on quantum chemical calculations. While these models supply fast and accurate ... [more ▼]

Machine learning advances chemistry and materials science by enabling large-scale exploration of chemical space based on quantum chemical calculations. While these models supply fast and accurate predictions of atomistic chemical properties, they do not explicitly capture the electronic degrees of freedom of a molecule, which limits their applicability for reactive chemistry and chemical analysis. Here we present a deep learning framework for the prediction of the quantum mechanical wavefunction in a local basis of atomic orbitals from which all other ground-state properties can be derived. This approach retains full access to the electronic structure via the wavefunction at force-field-like efficiency and captures quantum mechanics in an analytically differentiable representation. On several examples, we demonstrate that this opens promising avenues to perform inverse design of molecular structures for targeting electronic property optimisation and a clear path towards increased synergy of machine learning and quantum chemistry. [less ▲]

Detailed reference viewed: 243 (4 UL)
Full Text
Peer Reviewed
See detailUnifying Microscopic and Continuum Treatments of van der Waals and Casimir Interactions
Venkataram, Prashanth S.; Hermann, Jan; Tkatchenko, Alexandre UL et al

in Physical Review Letters (2017), 118(1), 266802

We present an approach for computing long-range van der Waals (vdW) interactions between complex molecular systems and arbitrarily shaped macroscopic bodies, melding atomistic treatments of electronic ... [more ▼]

We present an approach for computing long-range van der Waals (vdW) interactions between complex molecular systems and arbitrarily shaped macroscopic bodies, melding atomistic treatments of electronic fluctuations based on density functional theory in the former with continuum descriptions of strongly shape dependent electromagnetic fields in the latter, thus capturing many-body and multiple scattering effects to all orders. Such a theory is especially important when considering vdW interactions at mesoscopic scales, i.e., between molecules and structured surfaces with features on the scale of molecular sizes, in which case the finite sizes, complex shapes, and resulting nonlocal electronic excitations of molecules are strongly influenced by electromagnetic retardation and wave effects that depend crucially on the shapes of surrounding macroscopic bodies. We show that these effects together can modify vdW interaction energies and forces, as well as molecular shapes deformed by vdW interactions, by orders of magnitude compared to previous treatments based on Casimir-Polder, nonretarded, or pairwise approximations, which are valid only at macroscopically large or atomic-scale separations or in dilute insulating media, respectively. [less ▲]

Detailed reference viewed: 375 (1 UL)
Full Text
Peer Reviewed
See detailUnifying Quantum and Classical Speed Limits on Observables
García-Pintos, Luis Pedro; Nicholson, Schuyler B.; Green, Jason R. et al

in Physical Review X (2022)

The presence of noise or the interaction with an environment can radically change the dynamics of observables of an otherwise isolated quantum system. We derive a bound on the speed with which observables ... [more ▼]

The presence of noise or the interaction with an environment can radically change the dynamics of observables of an otherwise isolated quantum system. We derive a bound on the speed with which observables of open quantum systems evolve. This speed limit is divided into Mandelstam and Tamm’s original time-energy uncertainty relation and a time-information uncertainty relation recently derived for classical systems, and both are generalized to open quantum systems. By isolating the coherent and incoherent contributions to the system dynamics, we derive both lower and upper bounds on the speed of evolution.We prove that the latter provide tighter limits on the speed of observables than previously known quantum speed limits and that a preferred basis of speed operators serves to completely characterize the observables that saturate the speed limits. We use this construction to bound the effect of incoherent dynamics on the evolution of an observable and to find the Hamiltonian that gives the maximum coherent speedup to the evolution of an observable. [less ▲]

Detailed reference viewed: 40 (2 UL)
Full Text
Peer Reviewed
See detailA Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives
Nanda, Rohan; Di Caro, Luigi; Boella, Guido et al

in A Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives (2017)

Detailed reference viewed: 312 (18 UL)
Full Text
Peer Reviewed
See detailUnifying thermodynamic uncertainty relations
Falasco, Gianmaria UL; Esposito, Massimiliano UL; Delvenne, Jean-Charles

in New Journal of Physics (2020), 22(5), 053046

Detailed reference viewed: 50 (3 UL)