Search results for "PIP"

showing 10 items of 1156 documents

EST sequencing of Onychophora and phylogenomic analysis of Metazoa

2007

Onychophora (velvet worms) represent a small animal taxon considered to be related to Euarthropoda. We have obtained 1873 5' cDNA sequences (expressed sequence tags, ESTs) from the velvet worm Epiperipatus sp., which were assembled into 833 contigs. BLAST similarity searches revealed that 51.9% of the contigs had matches in the protein databases with expectation values lower than 10(-4). Most ESTs had the best hit with proteins from either Chordata or Arthropoda (approximately 40% respectively). The ESTs included sequences of 27 ribosomal proteins. The orthologous sequences from 28 other species of a broad range of phyla were obtained from the databases, including other EST projects. A conc…

Expressed Sequence TagsRibosomal ProteinsExpressed sequence tagGenomeBase SequencebiologyPhylumTardigradabiology.organism_classificationBioinformaticsEpiperipatusCycloneuraliaMonophylyEukaryotic CellsEvolutionary biologyGeneticsAnimalsOnychophoraSequence AlignmentMolecular BiologyEcdysozoaPhylogenyEcology Evolution Behavior and SystematicsMolecular Phylogenetics and Evolution
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SIFT Matching by Context Exposed

2023

This paper investigates how to step up local image descriptor matching by exploiting matching context information. Two main contexts are identified, originated respectively from the descriptor space and from the keypoint space. The former is generally used to design the actual matching strategy while the latter to filter matches according to the local spatial consistency. On this basis, a new matching strategy and a novel local spatial filter, named respectively blob matching and Delaunay Triangulation Matching (DTM) are devised. Blob matching provides a general matching framework by merging together several strategies, including rank-based pre-filtering as well as many-to-many and symmetri…

FOS: Computer and information sciencesArtificial neural networkSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniBenchmark testingRANSAClocal image descriptorSettore INF/01 - InformaticaApplied MathematicsComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionTransformDetectorDelaunay triangulationMerginglocal spatial filterimage contextComputational Theory and MathematicsArtificial IntelligenceKeypoint matchingSIFTPipelineTrainingComputer Vision and Pattern RecognitionSoftware
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Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data

2021

Whole gland (WG) segmentation of the prostate plays a crucial role in detection, staging and treatment planning of prostate cancer (PCa). Despite promise shown by deep learning (DL) methods, they rely on the availability of a considerable amount of annotated data. Augmentation techniques such as translation and rotation of images present an alternative to increase data availability. Nevertheless, the amount of information provided by the transformed data is limited due to the correlation between the generated data and the original. Based on the recent success of generative adversarial networks (GAN) in producing synthetic images for other domains as well as in the medical domain, we present…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencePipeline (computing)Computer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition02 engineering and technology030218 nuclear medicine & medical imagingMachine Learning (cs.LG)03 medical and health sciencesProstate cancer0302 clinical medicineProstate020204 information systems0202 electrical engineering electronic engineering information engineeringmedicineFOS: Electrical engineering electronic engineering information engineeringSegmentationbusiness.industryDeep learningImage and Video Processing (eess.IV)Pattern recognitionImage segmentationElectrical Engineering and Systems Science - Image and Video Processingmedicine.diseaseData availabilitymedicine.anatomical_structureArtificial intelligencebusinessT2 weighted
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Low-Power Audio Keyword Spotting using Tsetlin Machines

2021

The emergence of Artificial Intelligence (AI) driven Keyword Spotting (KWS) technologies has revolutionized human to machine interaction. Yet, the challenge of end-to-end energy efficiency, memory footprint and system complexity of current Neural Network (NN) powered AI-KWS pipelines has remained ever present. This paper evaluates KWS utilizing a learning automata powered machine learning algorithm called the Tsetlin Machine (TM). Through significant reduction in parameter requirements and choosing logic over arithmetic based processing, the TM offers new opportunities for low-power KWS while maintaining high learning efficacy. In this paper we explore a TM based keyword spotting (KWS) pipe…

FOS: Computer and information sciencesspeech commandSound (cs.SD)Computer scienceSpeech recognition02 engineering and technologykeyword spottingMachine learningcomputer.software_genreComputer Science - SoundReduction (complexity)Audio and Speech Processing (eess.AS)020204 information systemsFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkLearning automatabusiness.industrylearning automatalcsh:Applications of electric power020206 networking & telecommunicationslcsh:TK4001-4102Pipeline (software)Power (physics)machine learningTsetlin MachineMFCCKeyword spottingelectrical_electronic_engineeringScalabilityMemory footprintpervasive AI020201 artificial intelligence & image processingMel-frequency cepstrumArtificial intelligencebusinesscomputerartificial neural networkEfficient energy useElectrical Engineering and Systems Science - Audio and Speech Processing
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NONCOMPACTION OF THE LEFT VENTRICULAR MYOCARDIUM IN CHILDREN: CLINICAL AND PHYSIOPATHOLOGIC FEATURES

2006

Fazio, G; Novo, S; Zito, R; Icona, MA; Marchì, S; Mongiovì, S; Gagliano, S; Pipitone, S

Fazio G. Novo S. Zito R. Icona M. A. Marchì S. Mongiovì S. Gagliano S. Pipitone S.
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Micro damage and cracking in fibre reinforced composites by a novel hybrid numerical technique

2020

Article number 0033974 AIP Incluida en Conference Proceedings 2309 The prediction of failure mechanisms in fibre-reinforced composite materials is of great importance for the design of composite engineering applications. With the aim of providing a tool able to predict and explain the initiation and propagation of damage in unidirectional fiber reinforced composites, in this contribution we develop a micromechanical numerical model based on a novel hybrid approach coupling the virtual element method (VEM) and the boundary element method (BEM). The BEM is a popular numerical technique, efficient and accurate, which has been successfully applied to interfacial fracture mechanics problems of f…

Fiber Reinforced Composites Micro-mechanics Fracture-Mechanics Virtual Element MethodMixed ModeComputer scienceComposite numberFiber-reinforced compositeFinite element methodMatrix (mathematics)Fracture (geology)Coupling (piping)Polygon meshPolycrystalline MaterialsComposite materialSettore ING-IND/04 - Costruzioni E Strutture AerospazialiBoundary element methodCohesive Zone Model
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Effect of aggregation of a dispersed rigid filler on the elastic characteristics of a polymer composite

1986

We proposed a method for describing the effective elastic characteristics of a polymer composite with a rigid aggregating filler. An important feature of such a medium is the variable coupling of the inclusion phase in relation to its volume content. A change in the degree of coupling of the filler is accounted for by introducing an additional parameter. We examined a method of determining the coupling parameter from the results of statistical modeling of the geometry of the medium. Using the example of a calcite-HDPE composite, we showed that aggregation has a significant effect on the dependence of the elastic modulus on the volume content of filler; satisfactory agreement was obtained be…

Filler (packaging)Materials sciencePolymers and PlasticsGeneral MathematicsComposite numberCondensed Matter PhysicsBiomaterialsCondensed Matter::Materials ScienceMechanics of MaterialsCoupling parameterPhase (matter)Solid mechanicsCeramics and CompositesPolymer compositesCoupling (piping)Composite materialElastic modulusMechanics of Composite Materials
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Stressing sequence of steel cable-stayed bridges built by cantilevering

2015

The construction of cable-stayed bridges by cantilevering implies several changes of geometry, stress and strain patterns during the assemblage of segments. The main target to be satisfied in the construction process is the achievement of the required final geometry and of a convenient state of stress for self-weight and sustained loads. The sequence of stay stressing and the values of prestressing forces at each stage of segment assembling have the main role for reaching the desired result of design, due to the large redundancy of cable-stayed structures.Among the different procedures proposed in the literature for initial cable force determination, the Partial Elastic Scheme (PES) Method …

Finite element methodPrestressingConstruction processStaged constructionFinite element procedurePrestressing forcescable stayed bridgeGeometryCable stayed bridgesNonlinear behavioursSteel cable-stayed bridgesSettore ICAR/09 - Tecnica Delle CostruzioniGeometric non-linearityOffshore pipelinesCable stayed bridges; Finite element method; Geometry; Offshore pipelines; Prestressing; Construction process; Finite element procedure; Geometric non-linearity; Nonlinear behaviours; Prestressing forces; Staged construction; Steel cable-stayed bridges; Stress and strainStress and strain
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Green Sandpiper, Actitis hypoleucos Linnaeus 1758, feeding in an urban site in Pantelleria.

2012

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FisheryGeographybiologyEcologylcsh:ZoologyActitisGeneral Medicinelcsh:QL1-991biology.organism_classificationGreen sandpiperRivista Italiana di Ornitologia - Research in Ornithology
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Wind forcing and fate of <i>Sardinella aurita</i> eggs and larvae in the Sicily Channel (Mediterranean Sea)

2015

Abstract. Multidisciplinary studies are recently seeking to define diagnostic tools for fishery sustainability by coupling ichthyoplanktonic datasets, physical and bio-geochemical oceanographic measurements, and ocean modelling. The main goal of these efforts is the understanding of those processes that control fate and dispersion of fish larvae and eggs and thus tune the inter-annual variability of biomass of fish species. We here analyzed eggs and larvae distribution and biological features of Sardinella aurita in the northeast sector of the Sicily Channel (Mediterranean Sea) collected during the 2010 and 2011 summer cruises. We make use of satellite sea surface temperature, wind, and chl…

FisherySea surface temperatureBiomass (ecology)OceanographyMediterranean seabiologyPotential vorticitySustainable fisheryWind stressEnvironmental scienceSubmarine pipelineSardinellabiology.organism_classification
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