Search results for "Sensor"

showing 10 items of 4594 documents

Lateral magnification matrix from the dioptric power matrix formalism in the paraxial case.

2012

Background Previous studies have highlighted that power matrices fully characterize the concept of dioptric power of any astigmatic surface. Thus, the basic equations in physiological optics can be generalized using the matrix formalism of the dioptric power. Among others, lateral magnification has also been interpreted as a matrix but mainly concerning magnification modification induced by spectacle correction of refractive error. Purpose To provide a fresh look into a novel paraxial formulation for the assessment of the lateral magnification using power matrices and in presence of astigmatism for thin and thick imaging systems in general. Methods Linear optics provides the frame to genera…

Optics and Photonicsbusiness.industrymedia_common.quotation_subjectParaxial approximationPhysics::OpticsMagnificationAstigmatismAsymmetrySensory SystemsOphthalmologyMatrix (mathematics)Formalism (philosophy of mathematics)OpticsThin lensHumansbusinessRefractive indexPower matrixOptometrymedia_commonMathematicsLensesOphthalmicphysiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
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Correlation between optics quality of multifocal intraocular lenses and visual acuity

2009

Purpose To study the relationship between the optics quality of multifocal intraocular lenses (IOLs) and distance-corrected near, intermediate, and distance visual acuity to determine the degree to which optics quality must change to produce a significant difference in visual acuity. Setting Fundacion Oftalmologica del Mediterraneo, Valencia, Spain. Methods Monocular distance-corrected visual acuity (decimal and logMAR) was measured at 4 m, 70 cm, and 30 cm under photopic and mesopic conditions in eyes with 1 of 3 multifocal IOL models. Visual acuity versus the “average modulation” of the IOL was assessed. Results The pupil diameter and patient age were similar between the 3 IOL groups (20 …

Optics and Photonicsmedicine.medical_specialtyVisual acuityPseudophakiagenetic structuresMesopic visionColor visionmedicine.medical_treatmentVisual AcuityIntraocular lensPupilOpticsLens Implantation IntraocularOphthalmologymedicineHumansAgedRetrospective StudiesLenses IntraocularPhacoemulsificationColor VisionFourier Analysisbusiness.industryPupilPhacoemulsificationMultifocal intraocular lenseye diseasesSensory SystemsOphthalmologyOptometrySurgerysense organsmedicine.symptombusinessPhotopic visionJournal of Cataract and Refractive Surgery
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Glowing optical fiber designs and parameters

1997

Side-emitting optical fiber designs and main parameters have been studied. A simplified model to describe emission of the 'glowing' fiber is developed. Basic expressions for the emission parameters as functions of the input radiation intensity, distance along the fiber axis and scattering efficiency longitudinal distribution are given for several design modifications. The model assumptions have been checked experimentally by testing silica core side-glowing optical fiber samples.

OpticsMaterials scienceMulti-mode optical fiberFiber optic sensorbusiness.industryPhysics::OpticsDispersion-shifted fiberPolarization-maintaining optical fiberbusinessPlastic optical fiberGraded-index fiberHard-clad silica optical fiberPhotonic-crystal fiberSPIE Proceedings
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Optimal Design of Piezoelectric Cantilevered Actuators for Charge-Based Self-Sensing Applications

2019

Charge-based Self-Sensing Actuation (SSA) is a cost and space-saving method for accurate piezoelectric based-actuator positioning. However, the performance of its implementation resides in the choice of its geometry and the properties of the constituent materials. This paper intends to analyze the charge-based SSA&rsquo

Optimal design0209 industrial biotechnologyCantileverComputer sciencemicro-/nano-robotsMultiphysics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]designMechanical engineering02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticle[SPI.AUTO]Engineering Sciences [physics]/AutomaticAnalytical Chemistry020901 industrial engineering & automation0103 physical scienceslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentation010302 applied physicsself-sensing actuationFunction (mathematics)PiezoelectricityAtomic and Molecular Physics and OpticsComputer Science::OtherParametric modelActuatoroptimizationpiezoelectric actuators and sensorsSensors
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Multiobjective optimization of an ultrasonic transducer using NIMBUS

2005

The optimal design of an ultrasonic transducer is a multiobjective optimization problem since the final outcome needs to satisfy several conflicting criteria. Simulation tools are often used to avoid expensive and time-consuming experiments, but even simulations may be inefficient and lead to inadequate results if they are based only on trial and error. In this work, the interactive multiobjective optimization method NIMBUS is applied in designing a high-power ultrasonic transducer. The performance of the transducer is simulated with a finite element model, and three design goals are formulated as objective functions to be minimized. To find an appropriate compromise solution, additional pr…

Optimal designMathematical optimizationTransducerAcoustics and UltrasonicsComputer simulationComputer scienceUltrasonic sensorTrial and errorOutcome (game theory)Multi-objective optimizationFinite element methodUltrasonics
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Optimization of ultrasound-assisted extraction of phenolic compounds from grapefruit (Citrus paradisiMacf.) leaves via D-optimal design and artificia…

2018

The extraction of phenolic compounds from grapefruit leaves assisted by ultrasound-assisted extraction (UAE) was optimized using response surface methodology (RSM) by means of D-optimal experimental design and artificial neural network (ANN). For this purpose, five numerical factors were selected: ethanol concentration (0-50%), extraction time (15-60 min), extraction temperature (25-50 °C), solid:liquid ratio (50-100 g L-1 ) and calorimetric energy density of ultrasound (0.25-0.50 kW L-1 ), whereas ultrasound probe horn diameter (13 or 19 mm) was chosen as categorical factor.; Results: The optimized experimental conditions yielded by RSM were: 10.80% for ethanol concentration; 58.52 min for…

Optimal designNutrition and DieteticsMaterials scienceChromatography010401 analytical chemistryExtraction (chemistry)04 agricultural and veterinary sciences040401 food science01 natural sciences0104 chemical scienceschemistry.chemical_compound0404 agricultural biotechnologyCitrus paradisichemistryLinear regressionUltrasonic sensorResponse surface methodologyGallic acidAgronomy and Crop ScienceCategorical variableFood ScienceBiotechnologyJournal of the Science of Food and Agriculture
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Energy Efficient Sink Placement in Wireless Sensor Networks by Brain Storm Optimization Algorithm

2018

Wireless sensor networks represent one of the most promising technologies whose use has significantly increased in the past years. They are used in various applications such as health care monitoring, surveillance and monitoring in agriculture, industrial monitoring, habitat and underwater monitoring, etc. Deployment of the wireless sensor networks introduces number of hard optimization problems. Placement of the elements such as sensors, gateways, sinks and base stations, depend on different conditions and constraints such as signal propagation, distance, energy preservation, reliability. In this paper, we propose a method based on brain storm optimization algorithm for placing multiple si…

Optimization problemComputer scienceDistributed computingReliability (computer networking)Particle swarm optimization020206 networking & telecommunications02 engineering and technologySwarm intelligenceBase stationComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingWireless sensor networkEnergy (signal processing)Efficient energy use2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC)
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Greedy and K-Greedy algoritmhs for multidimensional data association

2011

[EN] The multidimensional assignment (MDA) problem is a combinatorial optimization problem arising in many applications, for instance multitarget tracking (MTT). The objective of an MDA problem of dimension $d\in\Bbb{N}$ is to match groups of $d$ objects in such a way that each measurement is associated with at most one track and each track is associated with at most one measurement from each list, optimizing a certain objective function. It is well known that the MDA problem is NP-hard for $d\geq3$. In this paper five new polynomial time heuristics to solve the MDA problem arising in MTT are presented. They are all based on the semi-greedy approach introduced in earlier research. Experimen…

OptimizationMathematical optimizationCombinatorial optimizationPolynomial approximationESTADISTICA E INVESTIGACION OPERATIVAAerospace EngineeringApproximation algorithmNP-hardSensor fusionDimension (vector space)Combinatorial optimization problemsMulti-target trackingPolynomial time heuristicsCombinatorial optimizationAlgorithm designElectrical and Electronic EngineeringMultidimensional assignmentObjective functionsHeuristicsGreedy algorithmTime complexityAlgorithmMultidimensional dataAlgorithmsMathematics
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Water quality sensor placement: a multi-objective and multi-criteria approach

2021

[EN] To satisfy their main goal, namely providing quality water to consumers, water distribution networks (WDNs) need to be suitably monitored. Only well designed and reliable monitoring data enables WDN managers to make sound decisions on their systems. In this belief, water utilities worldwide have invested in monitoring and data acquisition systems. However, good monitoring needs optimal sensor placement and presents a multi-objective problem where cost and quality are conflicting objectives (among others). In this paper, we address the solution to this multi-objective problem by integrating quality simulations using EPANET-MSX, with two optimization techniques. First, multi-objective op…

OptimizationMathematical optimizationOptimization problemWater distribution systems010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subject0208 environmental biotechnology02 engineering and technologyWater quality sensor placement01 natural sciencesMulti-objective optimizationEntropy (information theory)Quality (business)ELECTRECluster analysis0105 earth and related environmental sciencesWater Science and TechnologyCivil and Structural Engineeringmedia_common06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todosPareto principleBenchmarking020801 environmental engineeringELECTRE TRIMATEMATICA APLICADA
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Comparative training procedures to learn odor descriptors: effects on profiling performance

1999

Three groups of ten naive assessors were recruited to perform an odor profiling of 10 orange juices using 8 odor descriptors, These panels differed on the way they learned each descriptor. Group 1R learned to match one descriptor with one external standard; group 3R learned to associate one descriptor with 3 external standards; group 0R defined by itself the 8 descriptors from a set of orange juices. Results showed that the use of one standard per descriptor seemed to be only efficient when the standard was typical of the odor perception in the orange juices. Learning one odor concept with 3 standards led to redundant use of discriminant descriptors and failed on the agreement among assesso…

Orange juice0303 health sciencesOdor perception030309 nutrition & dieteticsbusiness.industryComputer science[SDV]Life Sciences [q-bio]Pattern recognition04 agricultural and veterinary sciences040401 food scienceSensory analysisSensory Systems[SDV] Life Sciences [q-bio]03 medical and health sciences0404 agricultural biotechnologyOdorProfiling (information science)Statistical analysisFruit juiceArtificial intelligencebusinessComputingMilieux_MISCELLANEOUSFood Science
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