Search results for "Lookup table"

showing 4 items of 24 documents

Dosimetric characteristics of the CDC-type miniature cylindrical 137Cs brachytherapy sources

2002

The low dose rate CDC-type miniature cylindrical 137 Cs sources are available, with one or three active beads, for use in source trains in automatic and manual afterloading systems for gynecological brachytherapy. Absolute dose rate distributions in water have been calculated around these sources using the Monte CarloGEANT3 code and they are presented as conventional two-dimensional Cartesian lookup tables. The AAPM Task Group 43 formalism for dose calculation has been also applied. The dose rate constant obtained for the one bead source is Λ=1.113±0.003 cGyh −1 U −1 , and the value for the three bead source is Λ=1.103±0.003 cGyh −1 U −1 . Finally, for the treatment planning systems based o…

Physicsbusiness.industryAirRadiotherapy Planning Computer-Assistedmedicine.medical_treatmentAttenuationBrachytherapyMonte Carlo methodBrachytherapyGeneral MedicineComputational physicslaw.inventionlawLookup tablemedicineDosimetryCartesian coordinate systemRadiometryRadiation treatment planningDose rateNuclear medicinebusinessMonte Carlo MethodAlgorithmsMedical Physics
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Statistical Learning for End-to-End Simulations

2018

End-to-end mission performance simulators (E2ES) are suitable tools to accelerate satellite mission development from concet to deployment. One core element of these E2ES is the generation of synthetic scenes that are observed by the various instruments of an Earth Observation mission. The generation of these scenes rely on Radiative Transfer Models (RTM) for the simulation of light interaction with the Earth surface and atmosphere. However, the execution of advanced RTMs is impractical due to their large computation burden. Classical interpolation and statistical emulation methods of pre-computed Look-Up Tables (LUT) are therefore common practice to generate synthetic scenes in a reasonable…

Signal Processing (eess.SP)Earth observation010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesFOS: Physical sciences02 engineering and technologyLinear interpolation01 natural sciencesSpectral lineComputational sciencesymbols.namesakeSampling (signal processing)Radiative transferFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingGaussian processInstrumentation and Methods for Astrophysics (astro-ph.IM)021101 geological & geomatics engineering0105 earth and related environmental sciencesEmulationGround-penetrating radarLookup tableRadiancesymbolsAstrophysics - Instrumentation and Methods for AstrophysicsInterpolation
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Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm

2018

Sensors provide data which need to be processed after acquisition to remove noise and extract relevant information. When the sensor is a network node and acquired data are to be transmitted to other nodes (e.g., through Ethernet), the amount of generated data from multiple nodes can overload the communication channel. The reduction of generated data implies the possibility of lower hardware requirements and less power consumption for the hardware devices. This work proposes a filtering algorithm (LDSI&mdash

bioinspired event filteringComputer sciencedynamic vision sensor02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical ChemistryReduction (complexity)0202 electrical engineering electronic engineering information engineeringneuromorphic systemslcsh:TP1-1185Electrical and Electronic EngineeringEnginyeria DissenyInstrumentationEnginyeria elèctricaEvent (computing)Noise (signal processing)010401 analytical chemistryFilter (signal processing)Atomic and Molecular Physics and Optics0104 chemical sciencesevent data reductionFPGA implementationspike-basedLookup table020201 artificial intelligence & image processingevent-based sensorsAlgorithmData reductionSensors
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Directive local color transfer based on dynamic look-up table

2019

Abstract Color transfer in image processing usually suffers from misleading color mapping and loss of details. This paper presents a novel directive local color transfer method based on dynamic look-up table (D-DLT) to solve these problems in two steps. First, a directive mapping between the source and the reference image is established based on the salient detection and the color clusters to obtain directive color transfer intention. Then, dynamic look-up tables are created according to the color clusters to preserve the details, which can suppress pseudo contours and avoid detail loss. Subjective and objective assessments are presented to verify the feasibility and the availability of the…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsImage processing02 engineering and technologyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559DirectiveLocal colorSalientTransfer (computing)Signal ProcessingColor mappingLookup table0202 electrical engineering electronic engineering information engineeringTable (database)020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareSignal Processing: Image Communication
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