Search results for "constraints"

showing 10 items of 149 documents

Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition

2018

Tensor decomposition has been widely employed for EEG signal processing in recent years. Constrained and regularized tensor decomposition often attains more meaningful and interpretable results. In this study, we applied sparse nonnegative CANDECOMP/PARAFAC tensor decomposition to ongoing EEG data under naturalistic music stimulus. Interesting temporal, spectral and spatial components highly related with music features were extracted. We explored the ongoing EEG decomposition results and properties in a wide range of sparsity levels, and proposed a paradigm to select reasonable sparsity regularization parameters. The stability of interesting components extraction from fourteen subjects’ dat…

medicine.diagnostic_testbusiness.industryComputer sciencePattern recognition02 engineering and technologyElectroencephalographystability analysisRegularization (mathematics)ongoing EEG03 medical and health sciences0302 clinical medicinetensor decomposition0202 electrical engineering electronic engineering information engineeringmedicineTensor decompositionsparse regularization020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgerynonnegative constraints
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Shape optimization in contact problems based on penalization of the state inequality

1986

The paper deals with the approximation of optimal shape of elastic bodies, uni­laterally supported by a rigid, frictionless foundation. Original state inequality, describing the behaviour of such a body is replaced by a family of penalized state problems. The relation between optimal shapes for the original state inequality and those for penalized state equations is established. peerReviewed

msc:49M30msc:73k40frictionless plane contact [keyword]minimization of the total potential energy [keyword]msc:74M15linear-elastic sheet [keyword]rigid foundation [keyword]msc:74P99contact boundary curve [keyword]family of penalized state problems [keyword]existence [keyword]msc:49J40convergence [keyword]nonlinear programming problem [keyword]msc:73T05shape optimization [keyword]box constraints [keyword]msc:74S05linear equality constraint [keyword]msc:74A55linear inequality constraints [keyword]
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An Hypervolume based constraint handling technique for multi-objective optimization problems

2011

Formulation of structural optimization problems usually leads to the individuation of one or more objective functions to be minimized under different constraints. Many multi-objective evolutionary algorithms are approached by a Pareto-compliant ranking method, where no a priori information on the problem is needed and the concept of non-dominated solutions is used. In this paper a constraint handling technique based on the concept of hypervolume indicator is presented. Initially proposed to compare different multi-objective algorithms hypervolume indicator is the only single set quality measure to reflects the dominance of solution’s sets. The constraint handling technique proposed use an e…

multi-objective optimization constraints hypervolumeSettore ICAR/08 - Scienza Delle Costruzioni
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Recreational sport participation of women in Jyväskylä : constraints and motives related with women's physical activity

2008

naisetJyväskylämotivesparticipationphysical activitymotiivitrajoituksetrecreationwomenconstraintsliikuntaharrastusfyysinen aktiivisuusosallistuminen
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Phenomenology of non-standard neutrino interactions

2016

Today neutrino physics is in a privileged position within the fascinating field of particle physics. From the discovery of neutrino oscillations by Super-Kamiokande in 1998, the door to physics beyond the Standard Model (SM in what follows) has been opened. This fact implies that neutrinos have to be massive in opposition to the Standard Model assumption. However, this is not a surprise completely, but it was already hinted from theoretical and experimental observations in the two decades prior to the discovery of the oscillatory phenomenon, as neutrino masses included in unification models or the observed deficit of the atmospheric and solar neutrino fluxes. As a consequence of this new pa…

neutrino oscillationsnsi boundsnon-standard neutrino interactionsnon-unitarityHigh Energy Physics::PhenomenologyUNESCO::FÍSICA::Física de altas energías::Física teórica altas energíasneutrinoneutrino experimentsnsi constraints:FÍSICA::Física de altas energías::Física teórica altas energías [UNESCO]phenomenologyHigh Energy Physics::Experimentparticle physicsnon-unitary lepton mixing matrixseesaw modelsnsi
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Seasonality of intra-specific cell size in the phytoplankton of Lake Kinneret

2015

A distinct pattern of seasonal fluctuations in intra-specific cell size and/or colony size was observed in a large number of phytoplankton species from Lake Kinneret, Israel. The same species showed larger cell size or colony size in late winter and smaller size in late summer, with intermediate sizes in the interim periods. This phenomenon was exhibited by species of chlorophytes, dinoflagellates and cyanobacteria that were abundant enough to be sampled (fortnightly) and measured throughout the year. The annual pattern of fluctuations in size repeated itself over 8 consecutive years (2004-2012). The size fluctuations were independent of the temporal changes observed in cell abundance of ea…

phenotypic variability Sea of Galilee cell morphology environmental constraintsSettore BIO/03 - Botanica Ambientale E Applicata
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Spatial variation in the evolutionary potential and constraints of basal metabolic rate and body mass in a wild bird

2023

An organism's energy budget is strongly related to resource consumption, performance, and fitness. Hence, understanding the evolution of key energetic traits, such as basal metabolic rate (BMR), in natural populations is central for understanding life-history evolution and ecological processes. Here we used quantitative genetic analyses to study evolutionary potential of BMR in two insular populations of the house sparrow (Passer domesticus). We obtained measurements of BMR and body mass (Mb) from 911 house sparrows on the islands of Leka and Vega along the coast of Norway. These two populations were the source populations for translocations to create an additional third, admixed ‘common ga…

quantitative geneticsevolutionary physiologyperinnöllisyystiedeartificial selectionkvantitatiivinen genetiikkaeläintiedepopulaatiotbirdseläimetbasal metabolic ratelinnutexperimental evolutionconstraintsEcology Evolution Behavior and Systematicsperinnöllisyys
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Algorithms for coherence checking and propagation of conditional probability bounds

2001

In this paper, we propose some algorithms for the checking of generalized coherence (g-coherence) and for the extension of imprecise conditional probability assessments. Our concept of g-coherence is a generalization of de Finetti’s coherence principle and is equivalent to the ”avoiding uniform loss” property for lower and upper probabilities (a la Walley). By our algorithms we can check the g-coherence of a given imprecise assessment and we can correct it in order to obtain the associated coherent assessment (in the sense of Walley and Williams). Exploiting some properties of the random gain we show how, in the linear systems involved in our algorithms, we can work with a reduced set of va…

reduced sets of variables and constraintsSettore MAT/06 - Probabilita' E Statistica MatematicaUncertain knowledgeUncertain knowledge probabilistic reasoning under coherence imprecise conditional probability assessments g-coherence checking g-coherent extension algorithms computational aspects reduced sets of variables reduced sets of linear constraints.g-coherent extensionimprecise conditional probability assessmentsg-coherence checkingUncertain knowledge; probabilistic reasoning under coherence; imprecise conditional probability assessments; g-coherence checking; g-coherent extension; algorithms.; computational aspects; reduced sets of variables and constraints.algorithmsprobabilistic reasoning under coherencecomputational aspects
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Jet fragmentation transverse momentum distributions in pp and p-Pb collisions at √s, √sNN = 5.02 TeV

2021

Jet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and Pythia 8 based models describe the data well for the higher jT region, while they underestimate the low…

related to the perturbative component of the fragmentation processthe measured trends are successfully described by all models except for Herwig. For the wide componentHerwig and PYTHIA 8 based models slightly underestimate the data for the higher jet transverse momentum region. These measurements set constraints on models of jet fragmentation and hadronisation.Nuclear and High Energy Physicswhile that of the inverse gamma function increases with increasing jet transverse momentum. For the narrow componentHeavy Ion Experimentsand with a Gaussian for lower jT values (called the “narrow component”)hiukkasfysiikkawhile they underestimate the lower jT region. The jT distributions are further characterised by fitting them with a function composed of an inverse gamma function for higher jT values (called the “wide component”)predominantly connected to the hadronisation process. The width of the Gaussian has only a weak dependence on jet transverse momentumJet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and PYTHIA 8 based models describe the data well for the higher jT region
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ILS3 highlighted nice results and challenging opportunities for innovative research on grain legume. Legume Perspective

2020

roots[SDV] Life Sciences [q-bio]phenotypinggrain legumesfoodfeedphysiologyabiotic constraintsgeneticsmodelization
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