Search results for " rando"

showing 10 items of 498 documents

A Random Dot Stereoacuity Test based on 3D Technology

2014

This paper presents a novel stereo acuity test that is realized by a software program on a PC with 3D capabilities. The 3D technology is used to provide two separate images to the two eyes. The test is a classical random dot test, but differently to other test printed on paper, the images shown to the patient can vary and there is no monocular clue. These features allow to deliver the test also in groups (instead of individuals) like school classes, and to increase the sensitivity. The system can be easily used also by not specialized personnel and this may further increase the cost efficiency of the test. Experiments carried on with a large set of children of age between five and seven yea…

EngineeringMonocularrandomdot testCost efficiencybusiness.industryStereo acuitystereopsisTest (assessment)Stereoscopic acuitySoftwareamblyiopiaSettore ING-IND/15 - Disegno e Metodi dell'Ingegneria Industrialestereopsis randomdot test amblyiopia 3dComputer visionSensitivity (control systems)Artificial intelligencebusinessSimulation3dProceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
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A GRASP algorithm for the container stowage slot planning problem

2016

This work presents a generalization of the Slot Planning Problem which raises when the liner shipping industry needs to plan the placement of containers within a vessel (stowage planning). State-of-the-art stowage planning relies on a heuristic decomposition where containers are first distributed in clusters along the vessel. For each of those clusters a specific position for each container must be found. Compared to previous studies, we have introduced two new features: the explicit handling of rolled out containers and the inclusion of separations rules for dangerous cargo. We present a novel integer programming formulation and a Greedy Randomized Adaptive Search Procedure (GRASP) to solv…

EngineeringOperations researchHeuristic (computer science)Container vessel stowage planning0211 other engineering and technologiesTransportation02 engineering and technologyManagement Science and Operations ResearchSHIPSOPERATIONSNUMBERGRASP0202 electrical engineering electronic engineering information engineeringHeuristic algorithmsLOADING PROBLEMBusiness and International ManagementInteger programmingREDUCEGreedy randomized adaptive search procedureCivil and Structural EngineeringSlot planningECONOMICS021103 operations researchbusiness.industryGRASPSHIFTSInteger programmingREACTIVE GRASPENGINEERINGPACKING PROBLEMSPacking problemsContainer (abstract data type)StowageBenchmark (computing)020201 artificial intelligence & image processingbusinessSETTransportation Research Part E: Logistics and Transportation Review
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Incremental dynamic based fragility assessment of reinforced concrete structures: Stationary vs. non-stationary artificial ground motions

2017

Abstract Artificial and natural records are commonly employed by researches and practitioners to perform refined seismic assessments of structures. The techniques for the generation of artificial records and their effectiveness in producing signals which are significantly representative of real earthquakes are still debated as well as results of the consequent seismic assessment to expect from their application. The paper presents an in-depth comparative study highlighting the effect of employing different typologies of artificial ground motion records on seismic assessment results, especially addressing seismic fragility curves. Three sets of 50 stationary, nonstationary evenly modulated a…

EngineeringPeak ground accelerationIncremental dynamic analysi0211 other engineering and technologiesSoil Science020101 civil engineering02 engineering and technologyIncremental dynamic analysisSpectral accelerationIncremental Dynamic Analysis0201 civil engineeringFragilitySeismic assessmentReinforced concrete structuresNonlinear dynamic analysiNon-stationary random processeNonlinear dynamic analysisCivil and Structural EngineeringReinforced concrete structureFragility curves021110 strategic defence & security studiesbusiness.industryArtificial accelerogramsNon-stationary random processesStructural engineeringArtificial accelerograms; Fragility curves; Incremental dynamic analysis; Non-stationary random processes; Nonlinear dynamic analysis; Reinforced concrete structures; Civil and Structural Engineering; Geotechnical Engineering and Engineering Geology; Soil ScienceGeotechnical Engineering and Engineering GeologyReinforced concreteArtificial accelerograms Non-stationary random processes Nonlinear dynamic analysis Incremental dynamic analysis Fragility curves Reinforced concrete structuresNonlinear systemTime historyArtificial accelerogramFragility curvebusiness
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Monte Carlo simulation for the response analysis of long-span suspended cables under wind loads

2004

This paper presents a time-domain approach for analyzing nonlinear random vibrations of long-span suspended cables under transversal wind. A consistent continuous model of the cable, fully accounting for geometrical nonlinearities inherent in cable behavior, is adopted. The effects of spatial correlation are properly included by modeling wind velocity fluctuation as a random function of time and of a single spatial variable ranging over cable span, namely as a one-variate bi-dimensional (1V-2D) random field. Within the context of a Galerkin`s discretization of the equations governing cable motion, a very efficient Monte Carlo-based technique for second-order analysis of the response is prop…

EngineeringRandom fieldDiscretizationSuspended cablebusiness.industrysuspended cable; wind velocity random field; Proper Orthogonal DecompositionMonte Carlo methodRandom functionBuilding and ConstructionMechanicsStructural engineeringAerodynamicsProper orthogonal decompositionWind speedVibrationNonlinear systemModeling and SimulationWind velocityRandom fieldNonlinear vibrationDigital simulationbusinessCivil and Structural EngineeringWind and Structures
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Contribution to the platoon distribution analysis in steady-state traffic conditions

2014

The traffic flow analysis and the relevant vehicle distribution (“free-moving” or “platooned” vehicles) on highway facilities at uninterrupted flow has always had fundamental importance in Highway Engineering, with special reference to topics like traffic operations, car accidents, road safety and air pollution emissions. In light of this, the study suggests a calculation algorithm as a random test generator to simulate a steady state traffic flow and to provide time headways. Thanks to the outcome produced by numerical simulations, we analysed platoon distributions within traffic flows in a steady-state regime and showed the results of numerical analyses carried out by traffic random proce…

EngineeringSteady state (electronics)Stochastic processbusiness.industryPoison controlGeotechnical Engineering and Engineering GeologyTraffic flowPlatoons statistical model steady-state time headway random function of tra c flowTransport engineeringFlow (mathematics)Control theoryPlatoonbusinessHighway engineeringCivil and Structural EngineeringTraffic wave
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A Procedure for Selecting Representative Subsamples of a Population from a Simple Random Sample

2015

This paper proposes a procedure for selecting large subsamples drawn from a large simple random sample that are more representative of the population under study. By means of the so-called constant of proportionality, the procedure seeks to maximize the size of the subsample taken from a stratified random sample with proportional allocation, restricting it to a p-value high enough to achieve a good fit using Pearson’s chi-square goodness of fit test. The user has the freedom to choose between a larger subsample with poorer adjustment or a smaller subsample with a better fit. We use the Continuous Sample of Working Lives (CSWL), a set of micro data taken from Spanish Social Security records,…

Engineeringeducation.field_of_studybusiness.industryPopulationSample (statistics)Simple random sampleRepresentativeness heuristicStratified samplingGoodness of fitStatisticsEconometricsChi-square testp-valuebusinesseducationSSRN Electronic Journal
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Backwards Martingales and Exchangeability

2020

With many data acquisitions, such as telephone surveys, the order in which the data come does not matter. Mathematically, we say that a family of random variables is exchangeable if the joint distribution does not change under finite permutations. De Finetti’s structural theorem says that an infinite family of E-valued exchangeable random variables can be described by a two-stage experiment. At the first stage, a probability distribution Ξ on E is drawn at random. At the second stage, independent and identically distributed random variables with distribution Ξ are implemented.

Exchangeable random variablesDiscrete mathematicsIndependent and identically distributed random variablesDistribution (number theory)Conditional independenceJoint probability distributionProbability distributionConditional probability distributionRandom variableMathematics
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Forward and backward diffusion approximations for haploid exchangeable population models

2001

Abstract The class of haploid population models with non-overlapping generations and fixed population size N is considered such that the family sizes ν1,…,νN within a generation are exchangeable random variables. A criterion for weak convergence in the Skorohod sense is established for a properly time- and space-scaled process counting the number of descendants forward in time. The generator A of the limit process X is constructed using the joint moments of the offspring variables ν1,…,νN. In particular, the Wright–Fisher diffusion with generator Af(x)= 1 2 x(1−x)f″(x) appears in the limit as the population size N tends to infinity if and only if the condition lim N→∞ E((ν 1 −1) 3 )/(N Var …

Exchangeable random variablesStatistics and ProbabilityDualityPopulation geneticsCoalescent theoryDiffusion approximationModelling and SimulationQuantitative Biology::Populations and EvolutionNeutralityWright–Fisher diffusionHille–Yosida theoremWeak convergenceMathematicsWeak convergenceApplied MathematicsMathematical analysisHeavy traffic approximationCommutative diagramHille–Yosida theoremPopulation modelDiffusion processModeling and SimulationAncestorsDescendantsExchangeabilityCoalescentStochastic Processes and their Applications
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Quadratic speedup for finding marked vertices by quantum walks

2020

A quantum walk algorithm can detect the presence of a marked vertex on a graph quadratically faster than the corresponding random walk algorithm (Szegedy, FOCS 2004). However, quantum algorithms that actually find a marked element quadratically faster than a classical random walk were only known for the special case when the marked set consists of just a single vertex, or in the case of some specific graphs. We present a new quantum algorithm for finding a marked vertex in any graph, with any set of marked vertices, that is (up to a log factor) quadratically faster than the corresponding classical random walk.

FOS: Computer and information sciencesQuadratic growthQuantum PhysicsQuantum algorithmsSpeedupMarkov chainMarkov chainsProbability (math.PR)FOS: Physical sciencesRandom walkVertex (geometry)CombinatoricsQuadratic equationSearch by random walkQuantum searchComputer Science - Data Structures and AlgorithmsFOS: MathematicsData Structures and Algorithms (cs.DS)Quantum walkQuantum algorithmQuantum Physics (quant-ph)Mathematics - ProbabilityMathematicsQuantum walks
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Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

2016

This paper studies a combination of generative Markov random field (MRF) models and discriminatively trained deep convolutional neural networks (dCNNs) for synthesizing 2D images. The generative MRF acts on higher-levels of a dCNN feature pyramid, controling the image layout at an abstract level. We apply the method to both photographic and non-photo-realistic (artwork) synthesis tasks. The MRF regularizer prevents over-excitation artifacts and reduces implausible feature mixtures common to previous dCNN inversion approaches, permitting synthezing photographic content with increased visual plausibility. Unlike standard MRF-based texture synthesis, the combined system can both match and adap…

FOS: Computer and information sciencesRandom fieldMarkov random fieldArtificial neural networkMarkov chainComputer sciencebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineeringPattern recognition02 engineering and technologyIterative reconstructionConvolutional neural networkComputingMethodologies_PATTERNRECOGNITION0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessGenerative grammarTexture synthesis2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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