Search results for "Generator"

showing 10 items of 426 documents

Compact and Field Portable Biophotonic Sensors for Automated Cell Identification (Plenary Address)

2021

In this Plenary address paper, we overview recently published work for automated cell identification using 3D optical imaging in compact and field portable biophotonic sensors. Digital holographic microscopy systems and lensless pseudorandom phase encoding systems capture 3D information of biological cells and make highly accurate automated cell identification possible. Overviewed systems include sickle cell disease diagnosis based on spatio-temporal cell dynamics in a field-portable 3D-printed shearing digital holography as well as lensless cell identification of both single and multicell samples using pseudorandom phase encoding.

Pseudorandom number generatorIdentification (information)Optical imagingbusiness.industryComputer scienceEncoding (memory)Digital holographic microscopybusinessComputer hardwareField (computer science)Digital holography
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Multidimensional pseudo-random pulse signals and their coincidence properties

1996

Pseudorandom number generatorPhysicsNuclear and High Energy PhysicsInstrumentationCoincidenceComputational physicsPulse (physics)Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution

2011

Experiences in the field of Monte Carlo methods indicate that the quality of a random number generator is exceedingly significant for obtaining good results. This result has not been demonstrated in the field of evolutionary optimization, and many practitioners of the field assume that the choice of the generator is superfluous and fail to document this aspect of their algorithm. In this paper, we demonstrate empirically that the requirement of high quality generator does not hold in the case of Differential Evolution.

Pseudorandom number generatorRandom number generationLinear congruential generatormedicine.medical_treatmentRandom seedPseudorandomnessmedicinePseudorandom generators for polynomialsPseudorandom generatorPseudorandom generator theoremAlgorithmMathematics
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Considerations on correlations in shift-register pseudorandom number generators and their removal

1997

Abstract We present a simple calculation quantitatively explaining the triplet correlations in the popular shift-register random number generator “R250”, which were recently observed numerically by Schmid and Wilding, and are known from general analysis of this type of generator. Starting from these considerations, we discuss various methods to remove these correlations by combining different shift-register generators. We implement and test a particularly simple and fast version, based on an XOR combination of two independent shift-register generators with different time lags. The results indicate that this generator has much better statistical properties than R250, while being only a facto…

Pseudorandom number generatorRandom number generationmedicine.medical_treatmentPseudorandomnessGeneral Physics and AstronomyPseudorandom generatorPseudorandom generator theoremLagged Fibonacci generatorHardware and ArchitectureLinear congruential generatormedicinePseudorandom generators for polynomialsAlgorithmMathematicsComputer Physics Communications
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Parallelization of the Wolff single-cluster algorithm.

2010

A parallel [open multiprocessing (OpenMP)] implementation of the Wolff single-cluster algorithm has been developed and tested for the three-dimensional (3D) Ising model. The developed procedure is generalizable to other lattice spin models and its effectiveness depends on the specific application at hand. The applicability of the developed methodology is discussed in the context of the applications, where a sophisticated shuffling scheme is used to generate pseudorandom numbers of high quality, and an iterative method is applied to find the critical temperature of the 3D Ising model with a great accuracy. For the lattice with linear size L=1024, we have reached the speedup about 1.79 times …

Pseudorandom number generatorSpeedupShufflingIterative methodSpin modelIsing modelMultiprocessingParallel computingSerial codeAlgorithmMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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On the Influence of PRNGs on Data Distribution

2012

The amount of digital information produced grows rapidly and constantly. Storage systems use clustered architectures designed to store and process this information efficiently. Their use introduces new challenges in storage systems development, like load-balancing and data distribution. A variety of randomized solutions handling data placement issues have been proposed and utilized. However, to the best of our knowledge, there has not yet been a structured analysis of the influence of pseudo random number generators (PRNGs) on the data distribution. In the first part of this paper we consider Consistent Hashing [1] as a combination of two consecutive phases: distribution of bins and distrib…

Pseudorandom number generatorStructured analysisTheoretical computer scienceDistributed databaseComputer scienceRandom number generationServerLoad balancing (computing)Consistent hashingData structure2012 20th Euromicro International Conference on Parallel, Distributed and Network-based Processing
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Dynamic Test Methods for COTS SRAMs

2014

International audience; In previous works, we have demonstrated the importance of dynamic mode testing of SRAM components under ionizing radiation. Several types of failures are difficult to expose when the device is tested under static (retention) mode. With the purpose of exploring and defining the most complete testing procedures and reveal the potential hazardous behaviors of SRAM devices, we present novel methods for the dynamic mode radiation testing of SRAMs. The proposed methods are based on different word address accessing schemes and data background: Fast Row, Fast Column, Pseudorandom, Adjacent (Gray) and Inverse Adjacent (Gray). These methods are evaluated by heavy ion and atmos…

Pseudorandom number generatorsingle event upset (SEU)Nuclear and High Energy Physicsta114ta213Computer scienceCOTSneutrons65 nmmultiple cell upset (MCU)SRAMColumn (database)[SPI.TRON]Engineering Sciences [physics]/ElectronicsRadiation testingNuclear Energy and EngineeringElectronic engineering90 nmHeavy ionStatic random-access memoryElectrical and Electronic Engineeringheavy ionsNeutron irradiationWord (computer architecture)dynamic testDynamic testingIEEE Transactions on Nuclear Science
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THE COSMOPOLITANISM OF COMMUNITIES: PUBLIC SPACE AS A GENERATOR OF EQUALITY AND DEMOCRACY

2021

The era in which we live, that of the networked society, of the society of knowledge, of globalization, the era in which everyone is connected to each other by annihilating geographical distances thanks to the dematerialization allowed by virtual processes, is the era in which the intensification of flows in every direction contrasts with the materialisation of borders and barriers, the proliferation of inequalities, social conflicts and personal hardship. The social separation corresponds, therefore, to a spatial separation, which creates stigmatized neighbourhoods, concentrations of problems in specific areas such as, among all, the suburbs and some areas of the historic centres. Then one…

Public spacepublic space democracy urban cosmopolitanism urban syncretismGenerator (computer programming)Political sciencemedia_common.quotation_subjectCosmopolitanismSettore ICAR/21 - UrbanisticaDemocracymedia_commonLaw and economics
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Decoupling on the Wiener Space, Related Besov Spaces, and Applications to BSDEs

2021

We introduce a decoupling method on the Wiener space to define a wide class of anisotropic Besov spaces. The decoupling method is based on a general distributional approach and not restricted to the Wiener space. The class of Besov spaces we introduce contains the traditional isotropic Besov spaces obtained by the real interpolation method, but also new spaces that are designed to investigate backwards stochastic differential equations (BSDEs). As examples we discuss the Besov regularity (in the sense of our spaces) of forward diffusions and local times. It is shown that among our newly introduced Besov spaces there are spaces that characterize quantitative properties of directional derivat…

Pure mathematicsGeneral MathematicsType (model theory)Directional derivativeSpace (mathematics)Computer Science::Digital LibrariesStochastic differential equationQuadratic equationFOS: MathematicsAnisotropic Besov spacesMathematicsstokastiset prosessitosittaisdifferentiaaliyhtälöt60H07 60H10 46E35Applied MathematicsProbability (math.PR)Decoupling (cosmology)interpolationFunctional Analysis (math.FA)Mathematics - Functional Analysisbackward stochastic differential equationsComputer Science::Mathematical Softwaredecoupling on the Wiener spacefunktionaalianalyysiMathematics - ProbabilityGenerator (mathematics)Interpolation
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A C0-Semigroup of Ulam Unstable Operators

2020

The Ulam stability of the composition of two Ulam stable operators has been investigated by several authors. Composition of operators is a key concept when speaking about C0-semigroups. Examples of C0-semigroups formed with Ulam stable operators are known. In this paper, we construct a C0-semigroup (Rt)t&ge

Pure mathematicsPhysics and Astronomy (miscellaneous)General MathematicsMathematicsofComputing_GENERAL02 engineering and technology01 natural sciencesStability (probability)Domain (mathematical analysis)Chebyshev expansion0103 physical sciencescomposition of operatorsData_FILES0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)Infinitesimal generatorC0-semigroupNonlinear Sciences::Pattern Formation and SolitonsMathematicsMathematics::Functional Analysis010308 nuclear & particles physicsSemigroupMathematics::Operator Algebraslcsh:MathematicsUlam stabilityComposition (combinatorics)lcsh:QA1-939Nonlinear Sciences::Chaotic Dynamics<i>C</i><sub>0</sub>-semigroupsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESChemistry (miscellaneous)Chebyshev expansion020201 artificial intelligence & image processingSymmetry
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