Search results for "Direction"

showing 10 items of 343 documents

An Adaptive Alternating Direction Method of Multipliers

2021

AbstractThe alternating direction method of multipliers (ADMM) is a powerful splitting algorithm for linearly constrained convex optimization problems. In view of its popularity and applicability, a growing attention is drawn toward the ADMM in nonconvex settings. Recent studies of minimization problems for nonconvex functions include various combinations of assumptions on the objective function including, in particular, a Lipschitz gradient assumption. We consider the case where the objective is the sum of a strongly convex function and a weakly convex function. To this end, we present and study an adaptive version of the ADMM which incorporates generalized notions of convexity and penalty…

Control and Optimizationsignal denoisingApplied Mathematicsalternating direction method of multipliersMathematics::Optimization and Controldouglas–rachford algorithmUNESCO::CIENCIAS TECNOLÓGICASManagement Science and Operations Researchcomonotonicityweakly convex functionOptimization and Control (math.OC)47H05 47N10 47J25 49M27 65K15FOS: Mathematicsfirm thresholdingMathematics - Optimization and Control
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Experimental System Identification and Black Box Modeling of Hydraulic Directional Control Valve

2015

Directional control valves play a large role in most hydraulic systems. When modeling the hydraulic systems, it is important that both the steady state and dynamic characteristics of the valves are modeled correctly to reproduce the dynamic characteristics of the entire system. In this paper, a proportional valve (Brevini HPV 41) is investigated to identify its dynamic and steady state characteristics. The steady state characteristics are identified by experimental flow curves. The dynamics are determined through frequency response analysis and identified using several transfer functions. The paper also presents a simulation model of the valve describing both steady state and dynamic charac…

Control valvesEngineeringFrequency response analysisSteady state (electronics)business.industryblack box modelingBrevini HPV41Transfer functionlcsh:QA75.5-76.95Computer Science ApplicationsDirectional control valveIdentification (information)Experimental systemControl and Systems EngineeringControl theoryModeling and SimulationBlack boxlcsh:Electronic computers. Computer scienceHydraulic machinerybusinessSoftwaresystem identificationModeling, Identification and Control
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Analysis of Offshore Knuckle Boom Crane - Part Two: Motion Control

2013

In this paper design of electro-hydraulic motion control systems for offshore knuckle boom cranes is discussed. The influence of the control valve bandwidth along with the ramp time for the control signal are investigated both analytically with simplified system models and numerically with an experimentally verified crane model. The results of both types of investigations are related to general design rules for selection of control valves and ramp times and the relevance of these design rules is discussed. Generally, they are useful but may be too conservative for offshore knuckle boom cranes. However, as demonstrated in the paper, the only proper way to determine this is to evaluate the mo…

Control valvessystem designbandwidthEngineeringBoomlcsh:QA75.5-76.95KnuckleControl theorymedicinebusiness.industrydirectional control valveBandwidth (signal processing)Structural engineeringMotion controlramp timeComputer Science ApplicationsHydraulic cranemedicine.anatomical_structureControl and Systems EngineeringModeling and SimulationControl signalSystems designSubmarine pipelinelcsh:Electronic computers. Computer sciencebusinessSoftwareModeling, Identification and Control
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Dust mobilization due to density currents in the Atlas region: Observations from the Saharan Mineral Dust Experiment 2006 field campaign

2007

[1] Evaporation of precipitation is a ubiquitous feature of dry and hot desert environments. The resulting cooling often generates density currents with strong turbulent winds along their leading edges, which can mobilize large amounts of dust. Mountains support this process by triggering convection, by downslope acceleration of the cool air, and by fostering the accumulation of fine-grained sediments along their foothills through the action of water. For the Sahara, the world's largest dust source, this mechanism has been little studied because of the lack of sufficiently high resolution observational data. The present study demonstrates the frequent occurrence of density currents along th…

ConvectionAtmospheric ScienceMeteorologySoil ScienceAquatic ScienceMineral dustOceanographyAtmospheric sciencesWind speedHaboobGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)FoothillsEarth-Surface ProcessesWater Science and Technologygeographygeography.geographical_feature_categoryEcologyPaleontologyForestryWind directionGeophysicsDew pointMountain chainSpace and Planetary ScienceEnvironmental scienceJournal of Geophysical Research
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Factors Affecting Male Song Evolution in Drosophila montana

2005

D. montana (a species of the D. virilis group) has spread over the northern hemisphere, populations from different areas showing both genetic and phenotypic divergence. The males of this species produce an elaborate courtship song, which plays a major role both in species recognition and in intraspecific mate choice. The genetic architecture and physical constraints, as well as the importance of the signal for species recognition, set boundaries within which this signal can vary. Within these limits, courtship song parameters may change, depending on the males' physical condition and on the environment they inhabit. Females are likely to affect song evolution by exerting directional selecti…

CourtshipbiologyMate choiceDirectional selectionEcologymedia_common.quotation_subjectSexual selectionSet (psychology)biology.organism_classificationDrosophilaGenetic architectureIntraspecific competitionmedia_common
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Modeling crowd dynamics through coarse-grained data analysis

2018

International audience; Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be coupled to fast and reliable models to produce rapid predictions of the crowd movement and eventually help crowd managers choose between tailored optimization strategies. Here, we propose a Bi-directional Macroscopic (BM) model as the core of such a system. Its key input is the fundamental diagram for bi-directional flows, i.e. the relation between the pedestrian fluxes and d…

Data AnalysisOperations researchComputer scienceFLOW[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]macroscopic model0904 Chemical EngineeringTransportation02 engineering and technologycomputer.software_genre01 natural sciences010305 fluids & plasmas[SHS]Humanities and Social Sciences[SCCO]Cognitive scienceCrowds0903 Biomedical Engineering0102 Applied Mathematics11. Sustainability0202 electrical engineering electronic engineering information engineeringCluster AnalysisApplied Mathematicsbi-directional fluxcollective behaviourGeneral Medicine[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computational MathematicsCore (game theory)Modeling and Simulation[SCCO.PSYC]Cognitive science/Psychology020201 artificial intelligence & image processingGeneral Agricultural and Biological SciencesLife Sciences & BiomedicineBEHAVIORCrowd dynamicsRelation (database)Bioinformatics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]BioengineeringPedestrianModels PsychologicalMachine learningAdvanced Traffic Management SystemPedestrian traffic0103 physical sciencesHumansComputer Simulation[NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO]Block (data storage)Science & Technologybusiness.industryMathematical ConceptsSIMULATIONSdata-based modelingCrowdingKey (cryptography)Artificial intelligenceMathematical & Computational Biologybusinesscomputer
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<title>Methodology for quantitative analysis of scaling effects in multiresolution datasets acquired with airborne sensors flying at different …

2001

Scaling issues are always playing a critical role in most studies based on remote sensing data. The process of getting quantitative scaling information from raw multi-resolution images is not trivial, and many aspects must be taken very carefully into consideration. To get a better picture about the role of spatial resolution, we conducted a series of flights in summer 1997, in several test sites over Spain and Portugal. In order to minimize the time of acquisition (to get minimal changes in atmospheric status and solar illumination) we used three flight altitude levels, that produced images with 1.25 m, 3 m and 12 m resolutions. The main steps in our methodology are: a) Geometrical registr…

Data setData processingGeographyAltitudeRobustness (computer science)Multiresolution analysisBidirectional reflectance distribution functionSensor fusionImage resolutionRemote sensingSPIE Proceedings
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Effects of minute misregistrations of prefabricated markers for image-guided dental implant surgery: an analytical evaluation

2012

Objectives The goal of the present study was to develop a theoretical analysis of errors in implant position, which can occur owing to minute registration errors of a reference marker in a cone beam computed tomography volume when inserting an implant with a surgical stent. Material and methods A virtual dental-arch model was created using anatomic data derived from the literature. Basic trigonometry was used to compute effects of defined minute registration errors of only voxel size. The errors occurring at the implant's neck and apex both in horizontal as in vertical direction were computed for mean ±95%-confidence intervals of jaw width and length and typical implant lengths (8, 10 and 1…

Dental ImplantsCone beam computed tomographymedicine.medical_specialtyComputer scienceDental Implantation EndosseousCone-Beam Computed Tomographycomputer.software_genreModels DentalPatient Care PlanningSurgeryDental implant surgeryImaging Three-DimensionalDental Prosthesis DesignSurgery Computer-AssistedVoxelPosition (vector)Vertical directionRange (statistics)medicineHumansImplantOral SurgeryFrontal regioncomputerBiomedical engineeringClinical Oral Implants Research
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Sub-Millimeter Displacement Sensing by Passive UHF RFID Antennas

2014

A slotted patch is transformed into a wireless passive UHF-RFID sensor of uni-dimensional displacements by introducing a mechanic-electromagnetic modulation capable to convert sub-millimeter deformations into changes of the antenna's response, remotely detectable. A design methodology allows to obtain the desired sensitivity and dynamic range in a fully controllable way. The sensor and the methodology are discussed through the help of preliminary laboratory experimentations on a concrete brick, showing the possibility to achieve resolutions better than 0.1 mm with low cost readers.

Directional antennaComputer sciencebusiness.industryElectrical engineeringSettore ING-INF/02 - Campi ElettromagneticiMicrostrip antennaUltra high frequencyModulationElectronic engineeringWirelessSensitivity (control systems)Electrical and Electronic EngineeringAntenna (radio)businessRFID sensor Antenna
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An Heuristic Approach for the Training Dataset Selection in Fingerprint Classification Tasks

2015

Fingerprint classification is a key issue in automatic fingerprint identification systems. It aims to reduce the item search time within the fingerprint database without affecting the accuracy rate. In this paper an heuristic approach using only the directional image information for the training dataset selection in fingerprint classification tasks is described. The method combines a Fuzzy C-Means clustering method and a Naive Bayes Classifier and it is composed of three modules: the first module builds the working datasets, the second module extracts the training images dataset and, finally, the third module classifies fingerprint images in four classes. Unlike literature approaches using …

Directional imageFingerprint classificationComputer sciencebusiness.industryHeuristicNaive bayes classifierTraining dataset optimizationPattern recognitionBayes classifiercomputer.software_genreClass (biology)Fuzzy logicNaive Bayes classifierComputingMethodologies_PATTERNRECOGNITIONFingerprintArtificial intelligenceData miningCluster analysisbusinesscomputerSelection (genetic algorithm)Fuzzy C-Mean
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