Search results for "NS1"

showing 10 items of 222 documents

Stability and l1-gain analysis for positive 2D T–S fuzzy state-delayed systems in the second FM model

2014

This paper considers the problems of delay-dependent stability and l"1-gain analysis for a class of positive two-dimensional (2D) Takagi-Sugeno (T-S) fuzzy linear systems with state delays described by the second FM model. Firstly, the co-positive type Lyapunov function method is applied to establish sufficient conditions of asymptotical stability for the addressed positive 2D T-S fuzzy system. Then, the l"1-gain performance analysis for the positive 2D T-S fuzzy delayed system is studied. All the obtained results are formulated in the form of linear matrix inequalities (LMIs) which are computationally tractable. Finally, an illustrative example is given to verify the effectiveness of the p…

Positive 2D systemsLyapunov functionT-S fuzzy systemsCognitive NeuroscienceLinear systemLinear matrix inequalityDelay-dependent stabilityComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy control systemState (functional analysis)Fuzzy logicStability (probability)Computer Science Applicationssymbols.namesakeArtificial IntelligenceControl theorysymbolsCo-positive type Lyapunov functionFuzzy numberCo-positive type Lyapunov function; Delay-dependent stability; Positive 2D systems; T-S fuzzy systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial IntelligenceMathematicsNeurocomputing
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ROS/Gazebo-Based Simulation of Quadcopter Aircrafts

2018

The main purpose of this work is to present a tutorial description on how to design and develop an observer, which is capable of estimating the position and the orientation of a drone commanded by a controller, whose shape and structure are unknown. Starting from Newton's and Euler's laws, a mathematical model describing the dynamics of a quadcopter has first been obtained. By linearizing this model it is possible to implement a Luenberger observer and validate it with simulations in a Linux environment, thanks to the use of the Ardupilot controller and the Gazebo simulator. Finally, starting from the results obtained from the simulation, it is possible to evaluate the error made in the est…

QuadcopterObserver (quantum physics)Computer sciencebusiness.industryRenewable Energy Sustainability and the EnvironmentNonlinear controlEnergy Engineering and Power TechnologyRoboticsComputer Science Applications1707 Computer Vision and Pattern RecognitionROS/GazeboNonlinear controlquad-copterDroneIndustrial and Manufacturing EngineeringRoboticComputer Networks and CommunicationControl theoryArtificial IntelligenceTrajectoryArtificial intelligenceState observerbusinessInstrumentation
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Accuracy of Rotational Parameters Predicted by High-Level Quantum-Chemical Calculations: Case Study of Sulfur-Containing Molecules of Astrochemical I…

2018

The accuracy of rotational parameters obtained from high-level quantum-chemical calculations is discussed for molecules containing second-row atoms. The main focus is on computed rotational constants for which two statistical analyses have been carried out. A first benchmark study concerns sulfur-bearing species and involves 15 molecules (for a total of 74 isotopologues). By comparing 15 different computational approaches, all of them based on the coupled-cluster singles and doubles approach (CCSD) augmented by a perturbative treatment of triple excitations, CCSD(T), we have analyzed the effects on computed rotational constants due to (i) extrapolation to the complete basis-set limit, (ii) …

Quantum chemicalPhysics010304 chemical physicsExtrapolationComputer Science Applications1707 Computer Vision and Pattern RecognitionSulfur containing01 natural sciencesMolecular physicsComputer Science ApplicationsCore electronStatistical analyses0103 physical sciencesMoleculeIsotopologueLimit (mathematics)Physics::Chemical PhysicsPhysical and Theoretical Chemistry010303 astronomy & astrophysicsJournal of Chemical Theory and Computation
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Functional design of power-split CVTs: An uncoupled hierarchical optimized model

2017

Abstract This paper provides a new model for the preliminary design of compound power-split CVTs. Unlike the existing models, the presented method allows the engineers to prioritize functionality and efficiency of the transmission, while delaying the choice of the involved gear sets’ layout as long as possible. The design approach follows a specific priority order, and each step deals with one particular issue, without mutual interference. A smart design-chart eases the assessment and the comparison of the only eligible alternatives, and eventually leads to a final feasible constructive scheme, which can be an excellent concept for further optimization and implementation. Moreover, the mode…

Scheme (programming language)0209 industrial biotechnologyEngineeringMathematical optimizationComputationPower-split CVTBioengineering02 engineering and technologySystem of linear equationsInterference (wave propagation)Constructive020901 industrial engineering & automation0203 mechanical engineeringFunctional designMechanics of MaterialContinuously variable transmissionConfiguration designSimulationcomputer.programming_languagee-CVTbusiness.industryConfiguration designMechanical EngineeringFunctional designComputer Science Applications1707 Computer Vision and Pattern RecognitionSettore ING-IND/13 - Meccanica Applicata Alle MacchineHybridComputer Science Applications020303 mechanical engineering & transportsTransmission (telecommunications)Mechanics of Materialsbusinesscomputer
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Hidden connections: Network effects on editorial decisions in four computer science journals

2018

Abstract This paper aims to examine the influence of authors’ reputation on editorial bias in scholarly journals. By looking at eight years of editorial decisions in four computer science journals, including 7179 observations on 2913 submissions, we reconstructed author/referee-submission networks. For each submission, we looked at reviewer scores and estimated the reputation of submission authors by means of their network degree. By training a Bayesian network, we estimated the potential effect of scientist reputation on editorial decisions. Results showed that more reputed authors were less likely to be rejected by editors when they submitted papers receiving negative reviews. Although th…

Scope (project management)business.industrymedia_common.quotation_subject05 social sciencesPotential effectComputer Science Applications1707 Computer Vision and Pattern RecognitionNetwork effectsLibrary and Information SciencesPublic relations050905 science studiesPeer reviewComputer Science ApplicationsEditorial biasBayesian networkAuthor reputationIndividual dataAnnan samhällsvetenskapAuthor reputation; Bayesian network; Editorial bias; Network effects; Peer review; Computer Science Applications1707 Computer Vision and Pattern Recognition; Library and Information Sciences0509 other social sciences050904 information & library sciencesbusinessOther Social SciencesReputationmedia_commonJournal of Informetrics
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A survey on tubulin and arginine methyltransferase families sheds light on p. lividus embryo as model system for antiproliferative drug development

2019

Tubulins and microtubules (MTs) represent targets for taxane-based chemotherapy. To date, several lines of evidence suggest that effectiveness of compounds binding tubulin often relies on different post-translational modifications on tubulins. Among them, methylation was recently associated to drug resistance mechanisms impairing taxanes binding. The sea urchin is recognized as a research model in several fields including fertilization, embryo development and toxicology. To date, some &alpha

Sea urchinPRMTSettore BIO/11 - Biologia MolecolareDrug actionmacromolecular substancesBiologyCatalysisCatalysilcsh:ChemistryInorganic ChemistryMicrotubuleArginine methylationTubulinbiology.animalGene familyPhysical and Theoretical ChemistrySea urchinlcsh:QH301-705.5Molecular BiologySpectroscopyEchinodermechinodermsOrganic ChemistryEmbryoComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineMethylationComputer Science ApplicationsCell biologyTubulinDrug developmentlcsh:Biology (General)lcsh:QD1-999embryonic structuresbiology.proteinPost-translational modification
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Time-Frequency Filtering for Seismic Waves Clustering

2014

This paper introduces a new technique for clustering seismic events based on processing, in time-frequency domain, the waveforms recorded by seismographs. The detection of clusters of waveforms is performed by a k-means like algorithm which analyzes, at each iteration, the time-frequency content of the signals in order to optimally remove the non discriminant components which should compromise the grouping of waveforms. This step is followed by the allocation and by the computation of the cluster centroids on the basis of the filtered signals. The effectiveness of the method is shown on a real dataset of seismic waveforms.

SeismometerInformation Systems and ManagementBasis (linear algebra)Computer sciencebusiness.industryComputationEarthquakes clusteringCentroidWaveforms clusteringComputer Science Applications1707 Computer Vision and Pattern RecognitionPattern recognitionInformation SystemSeismic noiseTime-frequency filteringwaveforms clustering earthquakes clustering time-frequency filteringSeismic wavePhysics::GeophysicsComputingMethodologies_PATTERNRECOGNITIONWaveformArtificial intelligenceSettore SECS-S/01 - StatisticaCluster analysisbusinessAnalysis
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Quantifying the complexity of short-term heart period variability through K nearest neighbor local linear prediction

2008

The complexity of short-term heart period (HP) variability was quantified exploiting the paradigm that associates the degree of unpredictability of a time series to its dynamical complexity. Complexity was assessed through k-nearest neighbor local linear prediction. A proper selection of the parameter k allowed us to perform either linear or nonlinear prediction, and the comparison of the two approaches to infer the presence of nonlinear dynamics. The method was validated on simulations reproducing linear and nonlinear time series with varying levels of predictability. It was then applied to HP variability series measured from healthy subjects during head-up tilt test, showing that short-te…

Series (mathematics)Degree (graph theory)Computer Science Applications1707 Computer Vision and Pattern Recognitionk-nearest neighbors algorithmTerm (time)Nonlinear systemPosition (vector)Control theorySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaComputer Science Applications1707 Computer Vision and Pattern Recognition; Cardiology and Cardiovascular MedicineTime seriesPredictabilityCardiology and Cardiovascular MedicineAlgorithmMathematics
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Experimental approach for testing the uncoupling between cardiovascular variability series

2002

In cardiovascular variability analysis, the significance of the coupling between two series is commonly assessed by defining a zero level on the magnitude-squared coherence (MSC). Although the use of the conventional value of 0.5 does not consider the dependence of MSC estimates on the analysis parameters, a theoretical threshold Tt is available only for the weighted covariance (WC) estimator. In this study, an experimental threshold for zero coherence Te was derived by a statistical test from the sampling distribution of MSC estimated on completely uncoupled time series. MSC was estimated by the WC method (Parzen window, spectral bandwidth B = 0.015, 0.02, 0.025, 0.03 Hz) and by the parame…

Series (mathematics)Kernel density estimationModels CardiovascularMyocardial InfarctionBiomedical EngineeringEstimatorComputer Science Applications1707 Computer Vision and Pattern RecognitionSignal Processing Computer-AssistedCoherence (statistics)CovarianceFeedbackComputer Science ApplicationsSpectral analysiElectrocardiographySampling distributionAutoregressive modelCardiovascular variability serieStatisticsHumansMagnitude-squared coherenceParametric statisticsMathematicsMedical & Biological Engineering & Computing
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Genetic and protein polymorphism at CSN1S1 locus in two goat breeds.

2006

Genetic polymorphisms of casein have received a considerable research effort for many years because of its potential effect on milk composition. Milk composition, specifically protein content, differs quantitatively and qualitatively among species and also among breeds and individuals. Sicilian goat breeds seem to be an interesting model since they have never been under a selection program, and therefore may carry unique casein polymorphisms. Moreover, the importance of goat milk in infant diets is growing probably because goat milk in some cases is less allergenic than cow milk. It is important to evaluate the genetic polymorphisms at the CSN1S1 locus in the populations of interest, like t…

Settore AGR/17 - Zootecnica Generale E Miglioramento GeneticoPolymorphisms CNS1S1 Sicilian goat breeds
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