Search results for "processing"

showing 10 items of 8572 documents

Effects of record linkage errors on disease registration

1998

Abstract:Reliable record linkage is a prerequisite for high-quality population-based disease registration. Rapid developments in computer processing have made record linkage both more efficient and more reliable in recent years. At the same time, concerns about confidentiality increasingly hinder record linkage in many disease registries. This paper provides basic algebraic models describing the effects of record linkage errors on monitoring disease incidence. Homonym errors, that is, erroneous linkage of records that pertain to distinct individuals, lead to underestimation of incidence in the registry population. The degree of underestimation strongly depends on the discriminating power of…

Advanced and Specialized NursingLinkage (software)education.field_of_studyActuarial sciencebusiness.industryEpidemiologyIncidenceComputer processingPopulationHealth InformaticsDiseaseHealth Information ManagementGermanySynonym (database)MedicineHumansConfidentialityForms and Records ControlMedical Record LinkageRegistriesbusinesseducationDisease NotificationRecord linkage
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Quantifying stenosis in renal arteriograms: a fuzzy syntactic analysis.

1999

AbstractThe introduction of fuzzy logic improves a system for the automatic quantification of renal artery lesions seen in digital subtraction angiograms. A two-step approach has been followed. An earlier system based on non-fuzzy syntactic analysis provided a clear symbolic description of the stenotic lesions. Although this system worked correctly, it did not take into account the variability and uncertainty inherent to image processing and to knowledge on the reference diameter. This system has been improved by the introduction of fuzzy logic in the representation of the reference diameter. It provides a description of the stenosis in terms of fuzzy quantities. To illustrate the benefits …

Advanced and Specialized NursingParsingbusiness.industrySubtractionAngiography Digital SubtractionHealth InformaticsPattern recognitionImage processingRenal Artery Obstructioncomputer.software_genremedicine.diseaseSymbolic descriptionFuzzy logicStenosisDigital imageRenal ArteryFuzzy LogicHealth Information ManagementmedicineHumansRadiographic Image Interpretation Computer-AssistedArtificial intelligenceRepresentation (mathematics)businesscomputer
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State of the Art Literature Review on Network Anomaly Detection with Deep Learning

2018

As network attacks are evolving along with extreme growth in the amount of data that is present in networks, there is a significant need for faster and more effective anomaly detection methods. Even though current systems perform well when identifying known attacks, previously unknown attacks are still difficult to identify under occurrence. To emphasize, attacks that might have more than one ongoing attack vectors in one network at the same time, or also known as APT (Advanced Persistent Threat) attack, may be hardly notable since it masquerades itself as legitimate traffic. Furthermore, with the help of hiding functionality, this type of attack can even hide in a network for years. Additi…

Advanced persistent threatbusiness.industryComputer scienceDeep learningdeep learning020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genrenetwork anomaly detectionkoneoppiminen0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAnomaly detectionState (computer science)Artificial intelligencetietoturvabusinessverkkohyökkäyksetcomputer
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The PolarLITIS Dataset: Road Scenes Under Fog

2022

Road scene analysis is a fundamental task for both autonomous vehicles and ADAS systems. Nowadays, one can find autonomous vehicles that are able to properly detect objects in the scene in good weather conditions; however, some improvements still need to be done when the visibility is altered. People claim that using some non-conventional sensors such as, infra-red or Lidar, combined with classical vision, enhances road scene analysis in optimal weather conditions. In this work, we present the improvements achieved using polarimetric imaging in the complex situation of some adverse weather conditions. This rich modality is known for its ability to describe an object not only by its intensit…

Adverse weatherModality (human–computer interaction)Reflection (computer programming)business.industryComputer scienceMechanical EngineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPolarimetryObject (computer science)Computer Science ApplicationsTask (project management)LidarAutomotive EngineeringComputer visionArtificial intelligencebusinessVisibilityIEEE Transactions on Intelligent Transportation Systems
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A robust aerial image registration method using Gaussian mixture models

2014

Aerial image registration is one of the bases in many aerospace applications, such as aerial reconnaissance and aerial mapping. In this paper, we propose a novel aerial image registration algorithm which is based on Gaussian mixture models. First of all, considering the characters of the aerial images, the work uses a shape feature detector which computes the boundaries of regions with nearly the same gray-value to extract invariant feature. Then, a Gaussian mixture models (GMM) based image registration model is built and solved to estimate the transformation matrix between two aerial images. Furthermore, the proposed method is applied on real aerial images, and the results demonstrate the …

Aerial surveyComputer sciencebusiness.industryFeature detectorCognitive NeuroscienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationComputerApplications_COMPUTERSINOTHERSYSTEMSPattern recognitionComputer Science Applications1707 Computer Vision and Pattern RecognitionMixture modelAerial images; Feature detector; Gaussian mixture models; Image registration; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial IntelligenceComputer Science ApplicationsComputer Science::RoboticsComputer Science::Systems and ControlArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionAerial imagesComputer visionAerial reconnaissanceArtificial intelligenceGaussian mixture modelsbusinessAerial imageImage registration
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High Pressure Processing Impact on Alternariol and Aflatoxins of Grape Juice and Fruit Juice-Milk Based Beverages.

2021

High-pressure processing (HPP) has emerged over the last 2 decades as a good alternative to traditional thermal treatment for food safety and shelf-life extension, supplying foods with similar characteristics to those of fresh products. Currently, HPP has also been proposed as a useful tool to reduce food contaminants, such as pesticides and mycotoxins. The aim of the present study is to explore the effect of HPP technology at 600 MPa during 5 min at room temperature on alternariol (AOH) and aflatoxin B1 (AFB1) mycotoxins reduction in different juice models. The effect of HPP has also been compared with a thermal treatment performed at 90 °C during 21 s. For this, different juice models, or…

AflatoxinFood industryFood HandlingLiquid Phase MicroextractionAlternariolPharmaceutical ScienceOrganic chemistryFood Contamination01 natural sciencesArticlealternariolAnalytical ChemistryPascalizationBeverageschemistry.chemical_compoundLactones0404 agricultural biotechnologyQD241-441AflatoxinsTandem Mass Spectrometryjuice modelsDrug Discoverydispersive liquid–liquid microextractionAnimalsVitisFood sciencePhysical and Theoretical ChemistryMycotoxinChromatography High Pressure LiquidOrange juicehigh-pressure processingbusiness.industry010401 analytical chemistry04 agricultural and veterinary sciencesMycotoxinsFood safety040401 food science0104 chemical sciencesFruit and Vegetable JuicesMilkchemistryChemistry (miscellaneous)Fruitaflatoxin B1Molecular Medicinebusinessliquid chromatography coupled to tandem mass spectrometryFood contaminantMolecules (Basel, Switzerland)
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Microbial safety of black summer truffle collected from Sicily and Umbria Regions, Italy

2021

Background: Tuber aestivum Vittad., known as black summer truffle, represents high-value food especially used as garnishment in nouvelle cuisine. The aim of this study was to investigate on the viable microbial populations associated with T. aestivum ascomata collected in different sites of Sicily and one locality of Umbria (Italy).
 Methods: The ripe ascomata of black summer truffles were collected from Central Italy. Cell densities of spoilage bacteria, fecal indicators, potential pathogens, yeasts, and molds were analyzed. Statistical analysis was conducted with XLSTAT software.
 Results: The microbiological counts of truffles ranged between 6.00 and 9.63 log Colony Forming Uni…

Agaricales Fungi Colony Count Microbial Food Microbiology Food Safety ItalyMicrobial safetyTruffleFood Safetybiologylcsh:TP368-456business.industryColony CountFungibiology.organism_classificationFood safetyToxicologylcsh:Food processing and manufactureAgaricales Fungi Colony Count Microbial Food Microbiology Food Safety ItalyGeographyMicrobialItalySettore BIO/03 - Botanica Ambientale E ApplicataColony countFood MicrobiologyFood microbiologyAgaricalesbusinessAgaricalesFood Science
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Compensatory strategies in processing facial emotions: evidence from prosopagnosia.

2006

We report data on the processing of facial emotion in a prosopagnosic patient (H.J.A.). H.J.A. was relatively accurate at discriminating happy from angry upright faces, but he performed at chance when the faces were inverted. Furthermore, with upright faces there was no configural interference effect on emotion judgements, when face parts expressing different emotions were aligned to express a new emergent emotion. We propose that H.J.A.'s emotion judgements relied on local rather than on configural information, and this local information was disrupted by inversion. A compensatory strategy, based on processing local face parts, can be sufficient to process at least some facial emotions.

Aged 80 and overMaleFacial expressionChi-Square DistributionCognitive NeuroscienceEmotionsInformation processingExperimental and Cognitive PsychologyRecognition PsychologyFacial recognition systemFacial ExpressionBehavioral NeuroscienceProsopagnosiaExpression (architecture)Pattern Recognition VisualFace (geometry)Case-Control StudiesReaction TimeHumansPsychologyComprehensionPhotic StimulationCognitive psychologyVisual agnosiaAgedNeuropsychologia
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Evaluation of the postural stability of elderly persons using time domain signal analysis

2012

A force platform is widely used in the evaluation of postural stability in man. Although an abundance of parameters are typically retrieved from force platform data, no uniform analysis of the data has been carried out. In general, the signal analysis does not analyze the underlying postural event, i.e., whether the signal consists of several small corrections or large excursions. In the present work, we studied the postural stability of 4589 elderly persons from Iceland on a force platform under visual and non-visual conditions during stance on a solid surface. We analyzed the internal relationship between frequently used time domain variables. In addition, we conducted a factor analysis u…

Aged 80 and overMaleSignal processingTime FactorsGeneral NeuroscienceWork (physics)PostureOpen-loop controllerStationary pointSignalSensory SystemsArticleOtorhinolaryngologyControl theoryPostural BalanceHumansForce platformFemaleNeurology (clinical)Time domainPsychologyFactor Analysis StatisticalPostural BalanceSimulationAged
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A Bio-Inspired Cognitive Agent for Autonomous Urban Vehicles Routing Optimization

2017

Autonomous urban vehicle prototypes are expected to be efficient even in not explicitly planned circumstances and dynamic environments. The development of autonomous vehicles for urban driving needs real-time information from vehicles and road network to optimize traffic flows. In traffic agent-based models, each vehicle is an agent, while the road network is the environment. Cognitive agents are able to reason on the perceived data, to evaluate the information obtained by reasoning, and to learn and respond, preserving their self-sufficiency, independency, self-determination, and self-reliance. In this paper, a bio-inspired cognitive agent for autonomous urban vehicles routing optimization…

Agent behaviorComputer scienceProcess (engineering)Functional featuresDistributed computingMetabolic network020206 networking & telecommunications02 engineering and technologyvehicular ad hoc networks (VANETs)Urban roadCognitive agentArtificial IntelligenceAutonomous urban vehicles routing optimization0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRouting (electronic design automation)cellular metabolismSoftwareSimulationCell survivalcognitive agentIEEE Transactions on Cognitive and Developmental Systems
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