Search results for " Optics"

showing 10 items of 5880 documents

From magnetic to nonlinear optical switches in spin-crossover complexes

2013

ISI Document Delivery No.: 109TF Times Cited: 0 Cited Reference Count: 173 Lacroix, Pascal G. Malfant, Isabelle Real, Jose-Antonio Rodriguez, Vincent Wiley-v c h verlag gmbh Weinheim Si; Various attempts to combine magnetic and nonlinear optical (NLO) properties in a molecule are reviewed, with a special focus on the possibility of interplay between the magnetic component and the quadratic (proportional to E-2) NLO response. This multidisciplinary research leads to the idea of spin-crossover-induced (SCO-induced) NLO switching and is evaluated at the synthetic level, with insights provided by computational chemistry. The need for nontraditional experimental setups to record NLO properties i…

Computational chemistryNonlinear opticsroom-temperaturetransition-metal-complexesSolid-stateNanotechnology02 engineering and technology010402 general chemistry01 natural scienceselectrical-conductivityInorganic ChemistryNonlinear opticalQuadratic equationSpin crossoverbinuclear iron(iii) complexesMagnetic componentsMoleculenlo propertiesNuclear Experimentliquid-crystalCondensed matter physicsChemistryNonlinear optics021001 nanoscience & nanotechnologySpin crossoverMaterials science0104 chemical sciences2nd-harmonic generationHigh Energy Physics::Experimentschiff-base ligandsray crystal-structure0210 nano-technologyFocus (optics)hyper-rayleigh scatteringMolecular devices
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RNN- and LSTM-Based Soft Sensors Transferability for an Industrial Process

2021

The design and application of Soft Sensors (SSs) in the process industry is a growing research field, which needs to mediate problems of model accuracy with data availability and computational complexity. Black-box machine learning (ML) methods are often used as an efficient tool to implement SSs. Many efforts are, however, required to properly select input variables, model class, model order and the needed hyperparameters. The aim of this work was to investigate the possibility to transfer the knowledge acquired in the design of a SS for a given process to a similar one. This has been approached as a transfer learning problem from a source to a target domain. The implementation of a transf…

Computational complexity theoryProcess (engineering)Computer sciencesulfur recovery unit02 engineering and technologytransfer learningMachine learningcomputer.software_genrelcsh:Chemical technologyBiochemistryRNNField (computer science)ArticleAnalytical ChemistryDomain (software engineering)0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationsystem identificationHyperparameterbusiness.industry020208 electrical & electronic engineeringdynamical modelsSystem identificationAtomic and Molecular Physics and OpticsNonlinear systemRecurrent neural networksoft sensors020201 artificial intelligence & image processingArtificial intelligenceTransfer of learningbusinessLSTMcomputerDynamical models; LSTM; RNN; Soft sensors; Sulfur recovery unit; System identification; Transfer learningSensors
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The partition sum of methane at high temperature

2008

11 pages, 4 Tables, 3 Figures Computer code on line at http://icb.u-bourgogne.fr/JSP/TIPS.jsp; International audience; The total internal partition function of methane is revisited to provide reliable values at high temperature. A multi-resolution approach is used to perform a direct summation over all the rovibrational energy levels up to the dissociation limit. A computer code is executable on line at the URL : http://icb.u-bourgogne.fr/JSP/TIPS.jsp to allow the calculation of the partition sum of methane at temperatures up to 3000 K. It also provides detailed information on the density of states in the relevant spectral ranges. The recommended values include uncertainty estimates. It is …

Computational spectroscopyRovibrational spectroscopy33.20.Vq 33.70.Fd01 natural sciences[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]MethaneDissociation (chemistry)chemistry.chemical_compound0103 physical sciencesSpectroscopy010303 astronomy & astrophysicsSpectroscopySpectroscopic databasesPhysics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Radiation010304 chemical physicsPartition sumRotational–vibrational spectroscopyPartition function (mathematics)Atmospheric temperature rangeAtomic and Molecular Physics and OpticsComputational physicschemistry[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Density of statesHITRANAtomic physicsMethane
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Shuttling-Based Trapped-Ion Quantum Information Processing

2020

Moving trapped-ion qubits in a microstructured array of radiofrequency traps offers a route toward realizing scalable quantum processing nodes. Establishing such nodes, providing sufficient functionality to represent a building block for emerging quantum technologies, e.g., a quantum computer or quantum repeater, remains a formidable technological challenge. In this review, the authors present a holistic view on such an architecture, including the relevant components, their characterization, and their impact on the overall system performance. The authors present a hardware architecture based on a uniform linear segmented multilayer trap, controlled by a custom-made fast multichannel arbitra…

Computer Networks and CommunicationsComputer scienceFOS: Physical sciences.Arbitrary waveform generator7. Clean energy01 natural sciences010305 fluids & plasmas//purl.org/becyt/ford/1 [https]0103 physical sciencesElectronic engineeringWaveformddc:530Electrical and Electronic EngineeringPhysical and Theoretical Chemistry010306 general physicsQuantum information scienceQuantum computerHardware architectureQuantum PhysicsControl reconfiguration//purl.org/becyt/ford/1.3 [https]Condensed Matter PhysicsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsQuantum technologyComputational Theory and MathematicsQubitQuantum Physics (quant-ph)
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Nonlinear Pulse Shaping in Optical Fibres with a Neural Network

2020

We use a supervised machine-learning model based on a neural network to solve the direct and inverse problems relating to the shaping of optical pulses that occurs upon nonlinear propagation in optical fibres.

Computer Science::Machine Learning[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Optical fiberArtificial neural networkComputer science02 engineering and technologyInverse problem01 natural sciencesPulse shapinglaw.invention010309 opticsNonlinear system020210 optoelectronics & photonicslaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineeringComputingMilieux_MISCELLANEOUS
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Fast fringe pattern phase demodulation using FIR Hilbert transformers

2016

This paper suggests the use of FIR Hilbert transformers to extract the phase of fringe patterns. This method is computationally faster than any known spatial method that produces wrapped phase maps. Also, the algorithm does not require any parameters to be adjusted which are dependent upon the specific fringe pattern that is being processed, or upon the particular setup of the optical fringe projection system that is being used. It is therefore particularly suitable for full algorithmic automation. The accuracy and validity of the suggested method has been tested using both computer-generated and real fringe patterns. This novel algorithm has been proposed for its advantages in terms of com…

Computer science02 engineering and technology01 natural sciencesGeneralLiterature_MISCELLANEOUSQA76Structured-light 3D scannerlaw.invention010309 opticssymbols.namesakeOpticslaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringDemodulationElectrical and Electronic EngineeringPhysical and Theoretical ChemistryTransformerbusiness.industryAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsTAFringe patternsymbols020201 artificial intelligence & image processingHilbert transformbusinessOptics Communications
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Interchannel Interference and Mitigation in Distributed MIMO RF Sensing

2021

In this paper, we analyze and mitigate the cross-channel interference, which is found in multiple-input multiple-output (MIMO) radio frequency (RF) sensing systems. For a millimeter wave (mm-Wave) MIMO system, we present a geometrical three-dimensional (3D) channel model to simulate the time-variant (TV) trajectories of a moving scatterer. We collected RF data using a state-of-the-art radar known as Ancortek SDR-KIT 2400T2R4, which is a frequency-modulated continuous wave (FMCW) MIMO radar system operating in the K-band. The Ancortek radar is currently the only K-band MIMO commercial radar system that offers customized antenna configurations. It is shown that this radar system encounters th…

Computer science3D channel modelMIMOVDP::Informasjons- og kommunikasjonsteknologi: 550Data_CODINGANDINFORMATIONTHEORYTP1-1185Interference (wave propagation)BiochemistryVDP::Information and communication technology: 550ArticleAnalytical Chemistrylaw.inventionmillimeter wave (mm-Wave)lawElectronic engineeringElectrical and Electronic EngineeringRadarInstrumentationsensor networkComputer Science::Information Theoryinterchannel interferencedistributed MIMOmicro-Doppler signaturesChemical technologyPropagation delayAtomic and Molecular Physics and OpticsRF sensingVDP::Teknologi: 500Extremely high frequencyFMCWRadio frequencyAntenna (radio)Wireless sensor networkSensors
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Modelling, Analysis, and Simulation of the Micro-Doppler Effect in Wideband Indoor Channels with Confirmation Through Pendulum Experiments

2020

This paper is about designing a 3D no n-stationary wideband indoor channel model for radio-frequency sensing. The proposed channel model allows for simulating the time-variant (TV) characteristics of the received signal of indoor channel in the presence of a moving object. The moving object is modelled by a point scatterer which travels along a trajectory. The trajectory is described by the object&rsquo

Computer scienceAcousticsdoppler frequency02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical Chemistry0203 mechanical engineeringInertial measurement unitspectrogramindoor channels0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185micro-doppler effectElectrical and Electronic EngineeringWidebandVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Instrumentationchannel state informationComputer Science::Information Theory3d no n-stationary channels020301 aerospace & aeronauticswi-fi 802.11nPendulum020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsinertial measurement unitsChannel state informationcsiTrajectoryCommunication channelSensors
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2019

This paper describes a single body-mounted sensor that integrates accelerometers, gyroscopes, compasses, barometers, a GPS receiver, and a methodology to process the data for biomechanical studies. The sensor and its data processing system can accurately compute the speed, acceleration, angular velocity, and angular orientation at an output rate of 400 Hz and has the ability to collect large volumes of ecologically-valid data. The system also segments steps and computes metrics for each step. We analyzed the sensitivity of these metrics to changing the start time of the gait cycle. Along with traditional metrics, such as cadence, speed, step length, and vertical oscillation, this system est…

Computer scienceAngular velocity02 engineering and technologyAccelerometerBiochemistryAnalytical Chemistrylaw.invention03 medical and health sciencesAcceleration0302 clinical medicinelaw0202 electrical engineering electronic engineering information engineeringForce platformElectrical and Electronic EngineeringGround reaction forceInstrumentationSimulationbusiness.industryGyroscope030229 sport sciencesAtomic and Molecular Physics and OpticsAssisted GPSGait analysisGlobal Positioning System020201 artificial intelligence & image processingbusinessSensors
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Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers

2019

This paper describes a non-invasive, automatic, and robust method for calibrating a scalable RGB-D sensor network based on retroreflective ArUco markers and the iterative closest point (ICP) scheme. We demonstrate the system by calibrating a sensor network comprised of six sensor nodes positioned in a relatively large industrial robot cell with an approximate size of 10 m × 10 m × 4 m . Here, the automatic calibration achieved an average Euclidean error of 3 c m at distances up to 9.45 m . To achieve robustness, we apply several innovative techniques: Firstly, we mitigate the ambiguity problem that occurs when detecting a marker at long range or low resolution by comparing the…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologytime-of-flightBiochemistryArticleVDP::Food science and technology: 600Analytical Chemistrylaw.inventionIndustrial robotlawRegion of interestRobustness (computer science)automatic calibration0202 electrical engineering electronic engineering information engineeringCalibrationVDP::Næringsmiddelteknologi: 600lcsh:TP1-1185Computer visionElectrical and Electronic EngineeringInstrumentationbusiness.industryambiguity problemIterative closest point3D sensors020207 software engineeringretroreflective markersAtomic and Molecular Physics and OpticsTime of flightTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRGB color model020201 artificial intelligence & image processingArtificial intelligencebusinessFiducial markerWireless sensor networkSensors
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