Search results for "Signal Processing"

showing 10 items of 2451 documents

Calculation of vapor pressures not requiring the derivatives of the energy of mixing

1997

A method is presented for the calculation of vapor pressures exclusively on the basis of the energy of mixing, the knowledge of chemical potentials is not required. The only condition used for the calculation is the minimum of the energy of mixing of the overall system in equilibrium. The gas phase is treated as an ideal gas, for the liquid phase no specific thermodynamic description is assumed. The method is demonstrated for a mixture of two solvents and one polymer. The system water/poly(ethylene oxide), the thermodynamics of which are described by an equation that can only be solved numerically thus impeding the calculation of chemical potentials, serves as an example. Interaction parame…

chemistry.chemical_classificationPolymers and PlasticsBasis (linear algebra)Ethylene oxideOrganic ChemistryLiquid phaseThermodynamicsPolymerCondensed Matter PhysicsIdeal gasGas phaseInorganic Chemistrychemistry.chemical_compoundchemistryMaterials ChemistryMixing (physics)Energy (signal processing)Macromolecular Theory and Simulations
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Energy-stable linear schemes for polymer-solvent phase field models

2017

We present new linear energy-stable numerical schemes for numerical simulation of complex polymer-solvent mixtures. The mathematical model proposed by Zhou, Zhang and E (Physical Review E 73, 2006) consists of the Cahn-Hilliard equation which describes dynamics of the interface that separates polymer and solvent and the Oldroyd-B equations for the hydrodynamics of polymeric mixtures. The model is thermodynamically consistent and dissipates free energy. Our main goal in this paper is to derive numerical schemes for the polymer-solvent mixture model that are energy dissipative and efficient in time. To this end we will propose several problem-suited time discretizations yielding linear scheme…

chemistry.chemical_classificationQuantitative Biology::BiomoleculesComputer simulationPhase field modelsNumerical Analysis (math.NA)010103 numerical & computational mathematicsPolymerMixture model01 natural sciences010101 applied mathematicsSolventCondensed Matter::Soft Condensed MatterComputational MathematicsComputational Theory and MathematicschemistryModeling and SimulationFOS: MathematicsDissipative systemStatistical physicsMathematics - Numerical Analysis0101 mathematicsEnergy (signal processing)Mathematics
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3.5-μm bandwidth mid-infrared supercontinuum generation in a 2-cm long suspended-core chalcogenide fiber

2014

A supercontinuum source extending from 0.6 to 4.1 µm has been successfully generated in a 2-cm long As2S3 chalcogenide suspended-core fiber by means of a nJ-level 200-fs pumping at 2.5 µm.

chemistry.chemical_compoundOpticsMaterials sciencechemistrybusiness.industryChalcogenideBandwidth (signal processing)Mid infraredOptoelectronicsbusinessSelf-phase modulationSupercontinuumPhotonic-crystal fiberAdvanced Photonics
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Inverse dispersion design in silicon waveguides

2014

We present a numerical tool to find the cross-section geometry of silicon-oninsulator waveguides that leads to a target dispersion profile. In < 10 iterations, we achieve geometries providing ultraflattened dispersion over 350 nm bandwidth.

chemistry.chemical_compoundSilicon photonicsOpticsMaterials scienceSilicon nitridechemistrySiliconbusiness.industryBandwidth (signal processing)chemistry.chemical_elementModal dispersionInversebusiness
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Lifetime measurement of neutron-rich even-even molybdenum isotopes

2017

D. Ralet et al. -- 11 pags., 10 figs., 3 tabs.

chemistry.chemical_element[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]7. Clean energy01 natural sciencesNuclear physicsSubatomic Physics0103 physical sciencesNeutronddc:530010306 general physicsMass numberPhysicsIsotope010308 nuclear & particles physicsrelativistic projectile fragmentation3. Good healthsecondary fragmentationgamma-ray spectroscopychemistryMolybdenumExcited stateQuadrupoleFísica nuclearAGATAAtomic physicsEnergy (signal processing)
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Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data with a Phase Sparsity Constraint

2020

Canonical polyadic decomposition (CPD) of multi-subject complex-valued fMRI data can be used to provide spatially and temporally shared components among groups with both magnitude and phase information. However, the CPD model is not well formulated due to the large subject variability in the spatial and temporal modalities, as well as the high noise level in complex-valued fMRI data. Considering that the shift-invariant CPD can model temporal variability across subjects, we propose to further impose a phase sparsity constraint on the shared spatial maps to denoise the complex-valued components and to model the inter-subject spatial variability as well. More precisely, subject-specific time …

complex-valued fMRI dataComputer sciencespatiotemporal constraintscomputer.software_genrecanonical polyadic decomposition (CPD)030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinetoiminnallinen magneettikuvausVoxelshift-invariantImage Processing Computer-AssistedmedicineHumansTensorElectrical and Electronic EngineeringInvariant (mathematics)Radiological and Ultrasound Technologymedicine.diagnostic_testsignaalinkäsittelyBrainComplex valuedsignaalianalyysiSignal Processing Computer-Assistedsource phase sparsityMagnetic Resonance ImagingComputer Science ApplicationsNorm (mathematics)Frequency domainSpatial variabilityFunctional magnetic resonance imagingAlgorithmcomputerAlgorithmsSoftware
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An Optimized Architecture for CGA Operations and Its Application to a Simulated Robotic Arm

2022

Conformal geometric algebra (CGA) is a new geometric computation tool that is attracting growing attention in many research fields, such as computer graphics, robotics, and computer vision. Regarding the robotic applications, new approaches based on CGA have been proposed to efficiently solve problems as the inverse kinematics and grasping of a robotic arm. The hardware acceleration of CGA operations is required to meet real-time performance requirements in embedded robotic platforms. In this paper, we present a novel embedded coprocessor for accelerating CGA operations in robotic tasks. Two robotic algorithms, namely, inverse kinematics and grasping of a human-arm-like kinematics chain, ar…

conformal geometric algebraSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioniapplication-specific processorsComputer Networks and CommunicationsHardware and ArchitectureControl and Systems EngineeringSignal Processingcomputational geometryFPGA-based prototypingElectrical and Electronic Engineeringapplication-specific processors; Clifford Algebra; computational geometry; conformal geometric algebra; FPGA-based prototyping; grasping; human-like robotic arms; inverse kinematics
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Photoplethysmography Analysis of Artery Properties in Patients with Cardiovascular Diseases

2008

In this study arterial parameters of healthy subjects were compared to those of patients with cardiovascular diseases. The photoplethysmography (PPG) measurements of blood volume pulsations have been performed. Using a novel algorithm for analysis of simultaneously measured ear and finger PPG signals, arterial parameters were evaluated in representative groups of healthy subjects and patients with cardiovascular diseases. Digital volume pulse (DVP), pulse cycle duration (T), augmentation index (AIx), reflection index (RI) and transit time of reflected wave (RTT) were evaluated in every heartbeat cycle. Correlations between the AIx and RI, T and RTT, AIx and standard deviation of AIx, RTT an…

congenital hereditary and neonatal diseases and abnormalitiesmedicine.medical_specialtyHeartbeatPulse (signal processing)business.industryTransit timeBlood volumemedicine.diseasemedicine.anatomical_structureInternal medicinePhotoplethysmogrammedicineArterial stiffnessCardiologyIn patientbusinessArtery
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One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals

2021

Deep learning for the automated detection of epileptic seizures has received much attention during recent years. In this work, one dimensional convolutional neural network (1D-CNN) and two dimensional convolutional neural network (2D-CNN) are simultaneously used on electroencephalogram (EEG) data for seizure detection. Firstly, using sliding windows without overlap on raw EEG to obtain the definite one-dimension time EEG segments (1D-T), and continuous wavelet transform (CWT) for 1D-T signals to obtain the two-dimension time-frequency representations (2D-TF). Then, 1D-CNN and 2D-CNN model architectures are used on 1D-T and 2D-TF signals for automatic classification, respectively. Finally, t…

convolutional neural networks (CNN)Computer scienceseizure detection02 engineering and technologyneuroverkotElectroencephalographyConvolutional neural network0202 electrical engineering electronic engineering information engineeringmedicineEEGContinuous wavelet transformSignal processingArtificial neural networkmedicine.diagnostic_testbusiness.industryelectroencephalogram (EEG)signaalinkäsittelyDeep learningtime-frequency representationtideep learningsignaalianalyysi020206 networking & telecommunicationsPattern recognitionkoneoppiminenBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinessepilepsia
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StateOS : A Memory-Efficient Hybrid Operating System for IoT Devices

2023

The increasing significance of operating systems (OSs) in the development of the internet of things (IoT) has emerged in the last decade. An event-driven OS is memory efficient and suitable for resource-constrained IoT devices and wireless sensors, although the program’s control flow, which is determined by events, is not always obvious. A multithreaded OS with sequential control flow is often considered clearer. However, this approach is memory-consuming. A hybrid OS seeks to combine the strengths of the event-driven approach with multithreaded approach. An event-driven cooperative threaded OS represents a hybrid approach that supports concurrency by explicitly yielding control to another …

cooperative programmingkäyttöjärjestelmätComputer Networks and Communicationsinternet of thingsComputer Science Applicationshybrid operating systemHardware and ArchitectureIoT OSSignal ProcessingWSN OSesineiden internetohjelmointitietoverkotwireless sensor network operating systemInformation Systems
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