Search results for "ample"

showing 10 items of 2398 documents

Transillumination imaging through biological tissue by single-pixel detection

2015

One challenge that has long held the attention of scientists is that of clearly seeing objects hidden by turbid media, as smoke, fog or biological tissue, which has major implications in fields such as remote sensing or early diagnosis of diseases. Here, we combine structured incoherent illumination and bucket detection for imaging an absorbing object completely embedded in a scattering medium. A sequence of low-intensity microstructured light patterns is launched onto the object, whose image is accurately reconstructed through the light fluctuations measured by a single-pixel detector. Our technique is noninvasive, does not require coherent sources, raster scanning nor time-gated detection…

Materials sciencebusiness.industryDetectorHolographyTransilluminationIterative reconstructionSample (graphics)law.inventionOpticsCompressed sensinglawProof of conceptComputer visionArtificial intelligenceRaster scanbusinessSPIE Proceedings
researchProduct

Ultrafast buffering by molecular gas

2011

A simple molecular gas sample can be used to achieve ultrafast optical buffering in two-dimensional optical imaging, thus serving as a promising extension of the well-developed liquid-crystal display technology.

Materials sciencebusiness.industryPhysics::Optics02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesSample (graphics)Atomic and Molecular Physics and Optics0104 chemical sciencesElectronic Optical and Magnetic MaterialsOptical imagingOpticsOptoelectronics0210 nano-technologybusinessUltrashort pulseNature Photonics
researchProduct

Femtosecond time-resolved photoemission electron microscopy operated at sample illumination from the rear side

2019

We present an advanced experimental setup for time-resolved photoemission electron microscopy (PEEM) with sub-20 fs resolution, which allows for normal incidence and highly local sample excitation with ultrashort laser pulses. The scheme makes use of a sample rear side illumination geometry that enables us to confine the sample illumination spot to a diameter as small as 6 μm. We demonstrate an operation mode in which the spatiotemporal dynamics following a highly local excitation of the sample is globally probed with a laser pulse illuminating the sample from the front side. Furthermore, we show that the scheme can also be operated in a time-resolved normal incidence two-photon PEEM mode w…

Materials sciencebusiness.industryResolution (electron density)Physics::OpticsLaserSample (graphics)Surface plasmon polaritonlaw.inventionInterferometryPhotoemission electron microscopyOpticslawFemtosecondbusinessInstrumentationExcitationReview of Scientific Instruments
researchProduct

Ultrasonic phased array inspection of wire plus arc additive manufacture samples using conventional and total focusing method imaging approaches

2019

In this study, three aluminium samples produced by wire + arc additive manufacture (WAAM) are inspected using ultrasonic phased array technology. Artificial defects are machined using a centre drill, ø 3 mm, and electrical discharge machining (EDM), ø 0.5-1 mm, in a cylindrical through-hole topology. The samples are first inspected using a single-element wheel probe mounted on a KUKA robot in order to investigate the feasibility of using a conventional ultrasonic transducer approach. Unfortunately, the wheel probe is found to be unsuitable for scanning the WAAM specimens and ultrasonic phased arrays are employed next. The set-up includes 5 MHz and 10 MHz arrays (128 elements) in direct cont…

Materials sciencebusiness.product_categoryartificial defectsArtificial defects Full matrix capture (FMC) Total focusing method (TFM) Ultrasonic phased array Wire + arc additive manufacture (WAAM)Phased arrayApertureController (computing)AcousticsTK0211 other engineering and technologies02 engineering and technologytotal focusing method (TFM)01 natural sciencesSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineMachiningwire plus arc additive manufacture (WAAM)0103 physical sciencesMaterials Chemistry010301 acoustics021103 operations researchDrillMechanical EngineeringMetals and Alloysfull matrix capture (FMC)Sample (graphics)Wedge (mechanical device)Mechanics of Materialsultrasonic phased arrayUltrasonic sensorbusiness
researchProduct

Dynamic Coalitional TU Games: Distributed Bargaining among Players' Neighbors

2013

We consider a sequence of transferable utility (TU) games where, at each time, the characteristic function is a random vector with realizations restricted to some set of values. The game differs from other ones in the literature on dynamic, stochastic or interval valued TU games as it combines dynamics of the game with an allocation protocol for the players that dynamically interact with each other. The protocol is an iterative and decentralized algorithm that offers a paradigmatic mathematical description of negotiation and bargaining processes. The first part of the paper contributes to the definition of a robust (coalitional) TU game and the development of a distributed bargaining protoc…

Mathematical optimizationComputer Science::Computer Science and Game TheorySequential gameComputer scienceCombinatorial game theoryExample of a game without a valueFOS: MathematicsSimultaneous gameElectrical and Electronic EngineeringTransferable utilityMathematics - Optimization and ControlGame theoryBondareva–Shapley theoremBargaining problemNon-cooperative gameUtility theoryStochastic gameComputingMilieux_PERSONALCOMPUTINGScreening gameComputer Science ApplicationsBargaining processCore (game theory)Control and Systems EngineeringOptimization and Control (math.OC)Repeated gameSettore MAT/09 - Ricerca OperativaoptimizationMathematical economicsGame theory
researchProduct

Modelling agricultural risk in a large scale positive mathematical programming model

2020

International audience; Mathematical programming has been extensively used to account for risk in farmers' decision making. The recent development of the positive mathematical programming (PMP) has renewed the need to incorporate risk in a more robust and flexible way. Most of the existing PMP-risk models have been tested at farm-type level and for a very limited sample of farms. This paper presents and tests a novel methodology for modelling risk at individual farm level in a large scale model, called individual farm model for common agricultural policy analysis (IFM-CAP). Results show a clear trade-off between including and excluding the risk specification. Albeit both alternatives provid…

Mathematical optimizationEconomics and EconometricsScale (ratio)Computer scienceComputationprogrammation mathématique positive020209 energyexpected utilitySample (statistics)highest posterior density02 engineering and technologypolitique agricole communerisk and uncertainty0202 electrical engineering electronic engineering information engineeringEuropean common agricultural policyExpected utility hypothesisagricultureEstimationrisque et incertitude2. Zero hungerbusiness.industry020208 electrical & electronic engineering[SHS.ECO]Humanities and Social Sciences/Economics and Finance16. Peace & justicemodèle de fermePMPComputer Science ApplicationsAgriculturebusinessCommon Agricultural PolicyScale modelpositive mathematical programmingInternational Journal of Computational Economics and Econometrics
researchProduct

Finite Sample Efficiency and Drawbacks: An Illustration

2011

Historically, finite-sample efficiency was the first notion of optimality introduced and it is still encountered in introductory statistics texts. The definition has several drawbacks however, one being that it is restricted to the class of unbiased estimators. An example is given to illustrate this.

Mathematical optimizationEfficiencyStein's unbiased risk estimateEstimatorSample (statistics)Class (philosophy)U-statisticMathematicsSSRN Electronic Journal
researchProduct

Qualitative Theory of Differential Equations, Difference Equations, and Dynamic Equations on Time Scales

2016

We are pleased to present this special issue. This volume reflects an increasing interest in the analysis of qualitative behavior of solutions to differential equations, difference equations, and dynamic equations on time scales. Numerous applications arising in the engineering and natural sciences call for the development of new efficient methods and for the modification and refinement of known techniques that should be adjusted for the analysis of new classes of problems. The twofold goal of this special issue is to reflect both the state-of-the-art theoretical research and important recent advances in the solution of applied problems.

Mathematical optimizationGeometric analysisDynamical systems theoryArticle SubjectDifferential equationComputer sciencelcsh:Tlcsh:Rlcsh:MedicineGeneral MedicineDelay differential equationlcsh:TechnologyGeneral Biochemistry Genetics and Molecular Biology[0-Belirlenecek]Examples of differential equationsNonlinear systemMultigrid methodEditorialSimultaneous equationsApplied mathematicslcsh:Qlcsh:ScienceGeneral Environmental Science
researchProduct

Multi-start methods for combinatorial optimization

2013

Abstract Multi-start methods strategically sample the solution space of an optimization problem. The most successful of these methods have two phases that are alternated for a certain number of global iterations. The first phase generates a solution and the second seeks to improve the outcome. Each global iteration produces a solution that is typically a local optimum, and the best overall solution is the output of the algorithm. The interaction between the two phases creates a balance between search diversification (structural variation) and search intensification (improvement), to yield an effective means for generating high-quality solutions. This survey briefly sketches historical devel…

Mathematical optimizationInformation Systems and ManagementOptimization problemGeneral Computer ScienceComputer scienceGRASPSample (statistics)Management Science and Operations ResearchIndustrial and Manufacturing EngineeringOutcome (probability)Field (computer science)Local optimumModeling and SimulationCombinatorial optimizationMetaheuristicEuropean Journal of Operational Research
researchProduct

A Quick Simulation Technique for a Fluid Information Storage Problem

2001

Summary In this paper we present an application of Importance Sampling (IS) for quick simulation of buffer overflow probability in a statistical multiplexer loaded with a number of independent Markov modulated fluid sources. Runtime improvement is deducible from NMCσ2(p) and NISσ2(p*) that characterize the trade-offs between sample size and variance of the estimators of buffer overflow probability experienced in Monte Carlo (MC) and Importance Sampling simulations. By assuming that the same precision is achieved for the two kinds of simulations if σ2(p)=σ2(p*), an approximate closed form expression for the ratio NIS/NMC is derived, and it is minimized with respect to the load of the multipl…

Mathematical optimizationMarkov chainComputer scienceSample size determinationMonte Carlo methodEstimatorElectrical and Electronic EngineeringClosed-form expressionMultiplexerAlgorithmImportance samplingBuffer overflowAEU - International Journal of Electronics and Communications
researchProduct