Search results for " Applications"

showing 10 items of 4541 documents

Iterative Symmetry Detection: Shrinking vs. Decimating Patterns

2005

This paper introduces a new mechanism that consists of applying a symmetry operator on an iteratively transformed version of the input image. The nature of the transformation characterizes the operator. Here, we consider the Object Symmetry Transform combined with the morphological operator erosion and the pyramid decimation respectively. The derived operators have been applied on both binary and gray levels images, comparing their ability to grasp the internal structure of a digital object. We present some experiments to evaluate their performances and check them for result quality versus computing complexity.

Decimationbusiness.industryGRASPComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematical morphologyErosion (morphology)Computer Science ApplicationsTheoretical Computer ScienceTransformation (function)Operator (computer programming)Computational Theory and MathematicsArtificial IntelligenceComputer visionArtificial intelligencePyramid (image processing)Symmetry (geometry)businessAlgorithmSoftwareMathematics
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The foundations of decision theory: An intuitive, operational approach with mathematical extensions

1985

A new axiomatic basis for the foundations of decision theory is introduced and its mathematical development outlined. The system combines direct intuitive operational appeal with considerable structural flexibility in the resulting mathematical framework.

Decision engineeringManagement scienceDecision theoryEvidential reasoning approachGeneral Social SciencesGeneral Decision SciencesDecision ruleComputer Science ApplicationsArts and Humanities (miscellaneous)Developmental and Educational PsychologyInfluence diagramCausal decision theoryGeneral Economics Econometrics and FinanceApplied PsychologyAxiomMathematicsDecision analysisTheory and Decision
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Emergent vulnerabilities in Integrated Operations: A proactive simulation study of economic risk

2009

Abstract The protection of critical infrastructure requires an understanding of the effects of change on current and future safety and operations. Vulnerabilities may emerge during the rollout of updated techniques and integration of new technology with existing work practices. Managers need to understand how their decisions, often focused on economic priorities, affect the dynamics of vulnerability over time. Such understanding is difficult to obtain, as the historical data typically used for decision support, prediction and forecasting may not be available. We report on the use of group model building and simulation to consider proactively the effects of a 10-year, multi-billion dollar mo…

Decision support systemInformation Systems and ManagementTechnological changeManagement scienceComputer scienceProcess (engineering)VulnerabilityIntegrated operationsCritical infrastructureComputer Science ApplicationsRisk analysis (engineering)Vulnerability assessmentModeling and SimulationProblem domainSafety Risk Reliability and QualityInternational Journal of Critical Infrastructure Protection
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A Conceptual Architecture of Ontology Based KM System for Failure Mode and Effects Analysis

2014

Failure Mode and Effects Analysis (FMEA) is a systematic method for procedure analyses and risk assessment. It is a structured way to identify potential failure modes of a product or process, probability of their occurrence, and their overall effects. The basic purpose of this analysis is to mitigate the risk and the impact associated to a failure by planning and prioritizing actions to make a product or a process robust to failure. Effective manufacturing and improved quality products are the fruits of successful implementation of FMEA. During this activity valuable knowledge is generated which turns into product or process quality and efficiency. If this knowledge can be shared and reused…

Decision support systemKnowledge managementComputer Networks and Communicationsbusiness.industryComputer sciencemedia_common.quotation_subjectTroubleshootingOntology (information science)Computer Science ApplicationsKnowledge-based systemsComputational Theory and MathematicsKnowledge baseKnowledge extractionRisk analysis (engineering)Quality (business)businessFailure mode and effects analysismedia_commonInternational Journal of Computers Communications & Control
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A knowledge-based decision support system in bioinformatics: An application to protein complex extraction

2013

Abstract Background We introduce a Knowledge-based Decision Support System (KDSS) in order to face the Protein Complex Extraction issue. Using a Knowledge Base (KB) coding the expertise about the proposed scenario, our KDSS is able to suggest both strategies and tools, according to the features of input dataset. Our system provides a navigable workflow for the current experiment and furthermore it offers support in the configuration and running of every processing component of that workflow. This last feature makes our system a crossover between classical DSS and Workflow Management Systems. Results We briefly present the KDSS' architecture and basic concepts used in the design of the knowl…

Decision support systemSaccharomyces cerevisiae ProteinsComputer scienceKnowledge BasesCrossovercomputer.software_genreBioinformaticslcsh:Computer applications to medicine. Medical informaticsBiochemistryDecision Support TechniquesWorkflowSoftwareknowledge base; decision support systemStructural BiologyArtificial IntelligenceProtein Interaction MappingPreprocessorCluster analysisMolecular Biologylcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryApplied MathematicsResearchComputational BiologyComputer Science ApplicationsWorkflowKnowledge baselcsh:Biology (General)Multiprotein Complexesprotein complex extractionlcsh:R858-859.7Data miningbusinesscomputerWorkflow management systemAlgorithmsSoftware
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An Evaluation of the Usability of a Computerized Decision Support System for Nursing Homes

2011

SummaryBackground: Computerized decision support systems (CDSSs) have the potential to significantly improve the quality of nursing care of older people by enhancing the decision making of nursing personnel. Despite this potential, health care organizations have been slow to incorporate CDSSs into nursing home practices.Objective: This study describes facilitators and barriers that impact the ability of nursing personnel to effectively use a clinical CDSS for planning and treating pressure ulcers (PUs) and malnutrition and for following the suggested risk assessment guidelines for the care of nursing home residents.Methods: We employed a qualitative descriptive design using varied methods, …

Decision support systembusiness.industry030503 health policy & servicesmedia_common.quotation_subjectHealth InformaticsUsabilityClinical decision support systemComputer Science Applications03 medical and health sciencesNursing care0302 clinical medicineHealth Information ManagementNursingContent analysisInformation systemMedicineQuality (business)030212 general & internal medicine0305 other medical scienceNursing homesbusinessmedia_commonResearch Article
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The complexity of finite model reasoning in description logics

2005

AbstractWe analyse the complexity of finite model reasoning in the description logic ALCQI, i.e., ALC augmented with qualifying number restrictions, inverse roles, and general TBoxes. It turns out that all relevant reasoning tasks such as concept satisfiability and ABox consistency are ExpTime-complete, regardless of whether the numbers in number restrictions are coded unarily or binarily. Thus, finite model reasoning with ALCQI is not harder than standard reasoning with ALCQI.

Deductive reasoningTheoretical computer scienceFinite satisfiabilityInverseLogic modelFinite satisfiabilitySatisfiabilityAboxDescription logicTheoretical Computer ScienceComputer Science ApplicationsConsistency (database systems)Number restrictionsTBox ALCQI-Konzept Beschreibungslogik EXPTIME-komplettDescription logicComputational Theory and Mathematicsddc:004TBox ALCQI-concept description logic EXPTIME-completeAlgorithmMathematicsInformation SystemsInformation and Computation
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Atrial fibrillation signatures on intracardiac electrograms identified by deep learning

2022

BACKGROUND: Automatic detection of atrial fibrillation (AF) by cardiac devices is increasingly common yet sub-optimally groups AF, flutter or tachycardia (AT) together as ‘high rate events’. This may delay or misdirect therapy. OBJECTIVE: We hypothesized that deep learning (DL) can accurately classify AF from AT by revealing electrogram (EGM) signatures. METHODS: We studied 86 patients in whom the diagnosis of AF or AT was established at electrophysiological study (25 female, 65 ± 11 years). Custom DL architectures were trained to identify AF using N = 29,340 unipolar and N = 23,760 bipolar EGM segments. We compared DL to traditional classifiers based on rate or regularity. We explained DL …

Deep LearningTecnologiaAtrial FibrillationHumansHealth InformaticsComputer SimulationFemaleElectrophysiologic Techniques CardiacArticleComputer Science ApplicationsSistema cardiovascular
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Composite Scaffolds with a Hydrohyapatite Spatial Gradient for Osteochondral Defect Repair

2018

Osteochondral defects derived by traumatic injury or aging related disease are often associated with severe joint pain and progressive loss of joint functions for millions of people worldwide and represent a major challenge for the orthopedic community. Tissue engineering offers new therapeutic approach to repair the osteochondral defects, through the production of scaffolds manufactured to mimic their complex architecture, which consists of cartilage and bone layers. Composite scaffolds based on a PLLA polymeric matrix containing hydroxyapatite (HA) as a filler were prepared through a modified thermally induced phase separation (TIPS) protocol. A suspension was prepared by adding sieved HA…

Defect repairMaterials scienceScanning electron microscopeComposite numberEnergy Engineering and Power TechnologyscaffoldIndustrial and Manufacturing EngineeringHydroxyapatite (HA)Poly-L-lactic-acid (PLLA)Tissue engineeringArtificial IntelligencemedicineTissue engineeringPorosityosteochomdral defectInstrumentationchemistry.chemical_classificationTime pathRenewable Energy Sustainability and the EnvironmentCartilageComputer Science Applications1707 Computer Vision and Pattern RecognitionPolymerComputer Networks and Communicationmedicine.anatomical_structurechemistryBiomedical engineering2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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GLOBAL DELAY TIME FOR GENERAL DISTRIBUTED NETWORKS WITH APPLICATIONS TO TIMING ANALYSIS OF DIGITAL MOS INTEGRATED CIRCUITS

1989

We consider here a general nerwork composed by n‐distributed parameters lines (with telegraph‐equations models) and m‐capacitors, all connected by a resistive multiport. An asymptotic stability property drives us to define and evaluate a global parameter (“λ‐delay time”) which describes the speed of signals propagation through the network. Because of its simplicity of calculation and its tightness, the given upper bound of the λ‐delay time is useful in timing analysis of MOS integrated chips.

Delay calculationResistive touchscreenProperty (programming)Computer scienceApplied Mathematicsmedia_common.quotation_subjectStatic timing analysisIntegrated circuitUpper and lower boundsComputer Science Applicationslaw.inventionComputational Theory and MathematicsExponential stabilitylawElectronic engineeringSimplicityElectrical and Electronic Engineeringmedia_commonCOMPEL - The international journal for computation and mathematics in electrical and electronic engineering
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