Search results for "Transform"

showing 10 items of 3975 documents

A Hybrid Frequency-Space Approach for Shape Measurement by Shadow Moiré Technique with Carrier Fringe Pattern

2006

In this paper, a novel methodology to process fringe pattern is presented. The core of the signal processing technique is the use of the direction information, a modulo 2pi quantity that locally informs about the direction along which fringes grow with maximum rate. By using this information, it was possible to perform adaptive, direction- and orientation-based operations on fringe images in order to remove unwanted effects, to enhance the contrast and to extract the phase information encoded. The method has been applied on shadow moire interferograms with carrier fringes in order to measure the surface of small objects. The developed algorithm allows to process fringes whose phase informat…

Signal processingbusiness.industryComputer scienceAstrophysics::Instrumentation and Methods for AstrophysicsPhase (waves)Process (computing)Image processingAdaptive filtersymbols.namesakeOpticsFourier transformsymbolsDemodulationHilbert transformbusiness2006 IEEE Instrumentation and Measurement Technology Conference Proceedings
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Space–bandwidth product of optical signals and systems

1996

The space–bandwidth product (SW) is fundamental for judging the performance of an optical system. Often the SW of a system is defined only as a pure number that counts the degrees of freedom of the system. We claim that a quasi-geometrical representation of the SW in the Wigner domain is more useful. We also represent the input signal as a SW in the Wigner domain. For perfect signal processing it is necessary that the system SW fully embrace the signal SW.

Signal processingbusiness.industryComputer scienceBandwidth (signal processing)TopologyAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materialssymbols.namesakeFourier transformOpticssymbolsComputer Vision and Pattern RecognitionSpatial frequencybusinessJournal of the Optical Society of America A
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A Direction/Orientation-Based Method for Shape Measurement by Shadow MoirÉ

2008

In this paper, a methodology to process fringe patterns is presented. The core of the signal processing technique is the use of the direction information, which is a modulo quantity that locally indicates the direction along which fringes grow at a maximum rate. By using this information, it was possible to perform adaptive and direction/orientation-based operations on fringe images to remove unwanted effects (mainly distortions at the image borders), to enhance the contrast, and to extract the phase information encoded. The method has been applied on shadow-moire interferograms with carrier fringes in order to measure the surface of small objects. The developed algorithm allows processing …

Signal processingbusiness.industryOrientation (computer vision)Computer sciencePhase distortionAstrophysics::Instrumentation and Methods for AstrophysicsPhase (waves)Process (computing)Adaptive filtersymbols.namesakeOpticsFourier transformsymbolsElectrical and Electronic EngineeringbusinessInstrumentationIEEE Transactions on Instrumentation and Measurement
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Pikosekunžu precizitātes laika intervālu mērīšanas un analīzes skaitlisko metožu izstrāde satelītu lāzerlokācijā pielietojumam

2002

Lāzerlokācijas metožu izmantošana zinātniskās programmās, kuras saistītas ar globālās ģeocentrisko koordinātu sistēmas definēšanu, Zemes rotācijas tekošo parametru noteikšanu, Zemes polu kustības mērījumiem, kontinentu dreifa noteikšanu, iespējamo zemestrīču prognozēšanu, prasa ļoti augstas precizitātes (0.5-2 cm) satelītu attālumu mērījumu rezultātus. Eksistējošie lāzeru tālmēri, daudzos gadījumos, nepilnīgi atbilst šīm prasībām, dodot precizitāti ap 4 cm. Risinot minētos lokācijas uzdevumus, liela loma ir laika intervālu analizatoru augstai izšķiršanas spējai. Satelītu lokācijā laika intervāla atsevišķa mērījuma vidējā kvadrātiskā kļūda nedrīkst pārsniegt dažus desmitus pikosekunžu, pie i…

Signālu apstrādeLaika mērījumiLāzerlokācijaChronographic transformationTime measurementsLaser rangingHronografiskais pārveidojums:NATURAL SCIENCES::Physics::Other physics [Research Subject Categories]
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Boron doping of silicon rich carbides: Electrical properties

2013

Boron doped multilayers based on silicon carbide/silicon rich carbide, aimed at the formation of silicon nanodots for photovoltaic applications, are studied. X-ray diffraction confirms the formation of crystallized Si and 3C-SiC nanodomains. Fourier Transform Infrared spectroscopy indicates the occurrence of remarkable interdiffusion between adjacent layers. However, the investigated material retains memory of the initial dopant distribution. Electrical measurements suggest the presence of an unintentional dopant impurity in the intrinsic SiC matrix. The overall volume concentration of nanodots is determined by optical simulation and is shown not to contribute to lateral conduction. Remarka…

Silicon nanodotMaterials scienceSiliconSilicon dioxideBoron dopingInorganic chemistrychemistry.chemical_elementSilicon carbide02 engineering and technologySettore ING-INF/01 - Elettronica7. Clean energy01 natural sciencesSettore FIS/03 - Fisica Della MateriaCarbidechemistry.chemical_compoundUV-vis reflection and transmittanceMultilayer0103 physical sciencesSilicon carbideGeneral Materials ScienceElectrical measurementsSilicon rich carbide010302 applied physicsDopantbusiness.industryMechanical EngineeringDopingFourier transform infrared spectroscopySilica021001 nanoscience & nanotechnologyCondensed Matter PhysicsSilicon richOptical propertieElectrical transportchemistryMechanics of MaterialsUV-vis reflection and transmittance Doping (additives)Boron-dopingOptoelectronicsElectric propertieNanodot0210 nano-technologybusinessX ray diffraction Boron carbideMaterials Science and Engineering: B
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Neural cell pattern formation on glass and oxidized silicon surfaces modified with poly(N-isopropylacrylamide)

1996

Control over the adsorption of proteins and over the adsorption and spatial orientation of mammalian cells onto surfaces has been achieved by modification of glass and other silicon oxide substrates with poly(N-isopropylacrylamide) (PNIPAM). The functionalization of the substrates was achieved either by a polymer-analogous reaction of aminosilanes with reactive N-(isopropylacrylamide) (NIPAM)-copolymers and by copolymerization of NIPAM with surface-bound methacrylsilane. The obtained coatings were characterized by FT-1R, ellipsometry, and surface plasmon resonance measurements. The adsorption of two proteins-fibrinogen and ribonuclease A-on these surfaces was studied in situ by real time su…

SiliconMaterials scienceSiliconCell SurvivalPolymersSurface PropertiesUltraviolet RaysBiomedical EngineeringBiophysicschemistry.chemical_elementBioengineeringBiocompatible MaterialsBiomaterialschemistry.chemical_compoundNeuroblastomaAdsorptionSpectroscopy Fourier Transform InfraredCell AdhesionTumor Cells CulturedOrganic chemistryHumansSurface plasmon resonanceSilicon oxideAcrylamidesAdhesionBlood ProteinsGliomaMolecular WeightchemistryChemical engineeringPoly(N-isopropylacrylamide)Surface modificationGlassOxidation-ReductionCell DivisionProtein adsorption
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Cs2 molekulas A~b kompleksa augstas izšķirtspējas spektroskopiskie pētījumi un elektroniskās struktūras analīze

2019

Šajā maģistra darbā veikts Cs2 molekulas 〖A^1∑〗_u^+ un 〖b 〗^3 Π_u stāvokļu kompleksa elektroniskās-svārstību-rotācijas struktūras pētījums pielietojot Furjē transformāciju spektroskopijas un lāzera inducētās fluorescences (LIF) metodes. 〖A^1∑〗_u^+ un 〖b 〗^3 Π_u stāvokļus raksturo spēcīga spin-orbitālā mijiedarbība, kuras rezultātā stāvokļi veido saistītu A~b kompleksu. Cs2 molekulas pētīšanai maģistra darbā pielietota LIF metode, izmantojot dažādas lāzeru sistēmas, kombinācijā ar Furjē transformāciju spektrometru (Bruker IFS-125HR). Eksperimentāli reģistrēti un analizēti Cs2 molekulas spektri pārejās no A~b kompleksa uz pamatstāvokli. Darbā aprakstīts spektru apstrādes process, kura rezultā…

SiltumcauruleCs2 molekulaLāzera inducētā fluorescenceA~b komplekssFizikaFurjē transformācijas spektroskopija
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Bioprospective of Sorbus aucuparia leaf extract in development of silver and gold nanocolloids

2010

At the present time the bioprospective field is a dynamic area of research. The rapid biosynthesis of silver and gold nanoparticles without using toxic chemicals is reported here. Sorbus aucuparia is omnipresent in Europe. The aqueous leaves extract of the plant were used as reducing agent for the synthesis of silver and gold nanoparticles from their salt solutions. The synthesized nanoparticles were spherical, triangular and hexagonal in shape with an average size of 16 and 18nm for silver and gold, respectively. Different extract quantities, metal concentrations, temperatures and contact times were investigated to find their effect on nanoparticles synthesis. The resulting silver and gold…

SilverMaterials scienceMetal ions in aqueous solutionAnalytical chemistryMetal NanoparticlesNanoparticleSilver nanoparticleMetalAbsorbanceColloid and Surface ChemistryMicroscopy Electron TransmissionX-Ray DiffractionSpectroscopy Fourier Transform InfraredSorbusParticle SizePhysical and Theoretical ChemistryFourier transform infrared spectroscopyPlant ExtractsTemperatureSurfaces and InterfacesGeneral MedicineHydrogen-Ion ConcentrationPlant LeavesReducing AgentsColloidal goldvisual_artvisual_art.visual_art_mediumGoldInductively coupled plasmaCrystallizationOxidation-ReductionBiotechnologyColloids and Surfaces B: Biointerfaces
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Views selection for SIFT based object modeling and recognition

2016

In this paper we focus on automatically learning object models in the framework of keypoint based object recognition. The proposed method uses a collection of views of the objects to build the model. For each object the collection is composed of N×M views obtained rotating the object around its vertical and horizontal axis. As keypoint based object recognition using a complete set of views is computationally expensive, we focused on the definition of a selection method that creates, for each object, a subset of the initial views that visually summarize the characteristics of the object and should be suited for recognition. We select the views by determining maxima and minima of a function, …

Similarity (geometry)Computer science3D single-object recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLearning objectScale-invariant feature transform02 engineering and technologySIFT0202 electrical engineering electronic engineering information engineeringMedia TechnologyComputer vision060201 languages & linguisticsObject RecognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryFeature matchingCognitive neuroscience of visual object recognitionPattern recognition06 humanities and the artsObject (computer science)Object Modeling0602 languages and literatureSignal ProcessingObject model020201 artificial intelligence & image processingViola–Jones object detection frameworkArtificial intelligencebusiness
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Predicting Next Dialogue Action in Emotionally Loaded Conversation

2021

This paper reports on creating a neural network model for prediction of the next action in a dialogue considering conversation history, i.e. entities, context variables and emotion indicators marking emotionally loaded user utterances. Several experiments were performed to see how the information about emotions affects the accuracy of the model. For the purposes of these experiments, a dataset containing 206 dialogs in Latvian in the transport inquiry domain was created containing both neutral and emotionally loaded utterances. To see if the proposed next dialogue action prediction model architecture is suitable for other languages, the original Latvian utterances were translated into Engli…

Single modelArtificial neural networkComputer sciencebusiness.industrymedia_common.quotation_subjectLatviancomputer.software_genrelanguage.human_languageDomain (software engineering)Model architectureAction (philosophy)languageConversationArtificial intelligencebusinesscomputerNatural language processingmedia_commonTransformer (machine learning model)
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