Search results for "Format"

showing 10 items of 24643 documents

JOINT TOPOLOGY LEARNING AND GRAPH SIGNAL RECOVERY VIA KALMAN FILTER IN CAUSAL DATA PROCESSES

2018

In this paper, a joint graph-signal recovery approach is investigated when we have a set of noisy graph signals generated based on a causal graph process. By leveraging the Kalman filter framework, a three steps iterative algorithm is utilized to predict and update signal estimation as well as graph topology learning, called Topological Kalman Filter or TKF. Similar to the regular Kalman filter, we first predict the a posterior signal state based on the prior available data and then this prediction is updated and corrected based on the recently arrived measurement. But contrary to the conventional Kalman filter algorithm, we have no information of the transition matrix and hence we relate t…

0209 industrial biotechnologyMean squared errorIterative methodComputer scienceStochastic matrixInference020206 networking & telecommunications02 engineering and technologyKalman filterTopology020901 industrial engineering & automationSignal recovery0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Topological graph theory2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
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Fast Earth Mover's Distance Computation for Catadioptric Image Sequences

2016

International audience; Earth mover's distance is one of the most effective metric for comparing histograms in various image retrieval applications. The main drawback is its computational complexity which hinders its usage in various comparison tasks. We propose fast earth mover's distance computation by providing better initialization to the transportation simplex algorithm. The new approach enables faster EMD computation in Visual Memory (VM) compared to the state of the art methods. The new proposed strategy computes earth mover distance without compromising its accuracy.

0209 industrial biotechnologyMoments[ INFO ] Computer Science [cs]Computational complexity theory[SPI] Engineering Sciences [physics]VisionComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO] Computer Science [cs]Catadioptric system[SPI]Engineering Sciences [physics]020901 industrial engineering & automationEarth Mover's DistanceSimplex algorithmVisual servoing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer vision[INFO]Computer Science [cs]Image retrieval[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsbusiness.industry[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsVisual MemoryLocalizationMetric (mathematics)020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEarth mover's distance
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Adapted Approach for Omnidirectional Egomotion Estimation

2011

Egomotion estimation is based principally on the estimation of the optical flow in the image. Recent research has shown that the use of omnidirectional systems with large fields of view allow overcoming the limitation presented in planar-projection imagery in order to address the problem of motion analysis. For omnidirectional images, the 2D motion is often estimated using methods developed for perspective images. This paper adapts motion field calculated using adapted method which takes into account the distortions existing in the omnidirectional image. This 2D motion field is then used as input to the egomotion estimation process using spherical representation of the motion equation. Expe…

0209 industrial biotechnologyMotion analysisbusiness.industryComputer sciencePerspective (graphical)Optical flow[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Equations of motion020207 software engineering02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Motion (physics)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationMotion fieldComputer Science::Computer Vision and Pattern RecognitionMotion estimation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessOmnidirectional antennaComputingMilieux_MISCELLANEOUS
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Inverse kinematic control of an industrial robot used in Vessel-to-Vessel Motion Compensation

2017

An increased level of complex offshore load handling operations is expected due to an increased amount of floating wind turbines, remote fish farms, and autonomous shipping, and in general more advanced operations to be carried out at sea. A common problem for these applications is that both equipment and personnel have to be transported between two floating vessels at sea. An investigation of the Vessel-to-Vessel Motion Compensation (VVMC) problem may increase the efficiency and safety of such operations in the future. In this paper, a control algorithm has been developed and experimentally tested in the Norwegian Motion Laboratory featuring two Stewart platforms (SPs), an industrial robot…

0209 industrial biotechnologyMotion compensationRobot kinematicsEngineeringWind powerbusiness.industry02 engineering and technologyKinematicsCompensation (engineering)law.inventionIndustrial robot020901 industrial engineering & automationlawBroadband0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingbusinessSimulationMarine engineering2017 25th Mediterranean Conference on Control and Automation (MED)
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Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope

2019

This paper proposes a novel adaptive fuzzy super-twisting sliding mode control scheme for microgyroscopes with unknown model uncertainties and external disturbances. Firstly, an adaptive algorithm is used to estimate the unknown parameters and angular velocity of microgyroscopes. Secondly, in order to improve the performance of the system and the superiority of the super-twisting algorithm, this paper utilizes the universal approximation characteristic of the fuzzy system to approach the gain of the super-twisting sliding mode controller and identify the gain of the controller online, realizing the adaptive adjustment of the controller parameters. Simulation results verify the superiority a…

0209 industrial biotechnologyMultidisciplinaryArticle SubjectGeneral Computer ScienceAdaptive algorithmComputer science020208 electrical & electronic engineeringMode (statistics)Angular velocity02 engineering and technologyFuzzy control systemSliding mode controlFuzzy logiclcsh:QA75.5-76.95020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringlcsh:Electronic computers. Computer scienceComplexity
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Analysis of Linear Feedback Position Control in Presence of Presliding Friction

2016

0209 industrial biotechnologyObserver (quantum physics)Computer scienceMechanical Engineering020208 electrical & electronic engineeringEnergy Engineering and Power TechnologyControl engineering02 engineering and technologyServomechanismMotion controlIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationControl theorylawAutomotive Engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringPosition controlIEEJ Journal of Industry Applications
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Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton.

2020

Neurological disorders such as cerebral paralysis, spinal cord injuries[acronym](SCI), and strokes, result in the impairment of motor control and induce functional difficulties to human beings like walking, standing, etc. Physical injuries due to accidents and muscular weaknesses caused by aging [english]affectsaffect people and can cause them to lose their ability to perform daily routine functions. In order to help people recover or improve their dysfunctional activities and quality of life after accidents or strokes, assistive devices like exoskeletons and orthoses are developed. Control strategies for control of exoskeletons are developed with the desired intention of improving the qual…

0209 industrial biotechnologyObserver (quantum physics)Computer sciencenonlinear state error feedback (NLSEF)02 engineering and technologyWalkingActive disturbance rejection controllcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDifferentiator020901 industrial engineering & automationimproved active disturbance rejection control (I-ADRC)Control theory0202 electrical engineering electronic engineering information engineeringHumanstrajectory trackingnonlinear state error feedback (NLSEF).lcsh:TP1-1185State observerElectrical and Electronic Engineeringlower limb robotic rehabilitation exoskeleton (LLRRE)Instrumentationtracking differentiator (TD)020208 electrical & electronic engineeringRehabilitationMotor controlRoboticsExoskeleton DeviceAtomic and Molecular Physics and OpticsExoskeletonNonlinear systemLower ExtremityTrajectoryQuality of LifeRobust controllinear extended state observer (LESO)Sensors (Basel, Switzerland)
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Estimation of Sway-angle Based on Hybrid State Observer Using Continuous and Discrete Sensing

2019

A hybrid state observer design is presented herein to estimate sway-angle and angular velocity in trolley systems with pendulum. In general, anti-sway control for trolley systems with pendulum such as overhead cranes are designed based on sway-angle signals detected by angular sensors. Opposed to that, a state observer without those sensors is proposed to estimate the sway-angle of the pendulum. A standard linear continuous feedback observer causes estimation error owing to the system nonlinearity and modeling error. This paper proposes a hybrid state observer incorporating discrete sensor signals. In the hybrid state observer, the estimation performance is improved by correcting the state …

0209 industrial biotechnologyObserver (quantum physics)OscillationComputer science020208 electrical & electronic engineeringPendulumAngular velocity02 engineering and technologyServomotorNonlinear system020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringOverhead (computing)State (computer science)State observerIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
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When Is an Affordance? Outlining Four Stances

2016

Part 3: Exploring Affect and Affordance; International audience; Affordance has emerged as a core concept in information systems (IS) research during the last decade. This relational concept is applied to understand and theorize the relationship between the social and the technical. In the works of the concept originator James Gibson, the relation was mainly portrayed as an ever-existing fact between the natural environment and an animal. In contrast, IS research focuses on relationships in-the-making between artificial things and human beings. In the IS context, we have identified vagueness in temporal and relational ontology: when do affordances exist and between whom or what? In this pap…

0209 industrial biotechnologyOntology[SHS.INFO]Humanities and Social Sciences/Library and information sciences05 social sciencesVaguenessContext (language use)02 engineering and technologyTemporalEpistemology020901 industrial engineering & automationAction (philosophy)0502 economics and businessOntologyNatural (music)Information systems[INFO]Computer Science [cs]RelationalAffordancePsychologySocial affordanceSocial psychologyAffordances050203 business & managementStrengths and weaknesses
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Parallel distributed compensation for voltage controlled active magnetic bearing system using integral fuzzy model

2018

Parallel Distributed Compensation (PDC) for current-controlled Active Magnetic Bearing System (AMBS) has been quite effective in recent years. However, this method does not take into account the dynamics associated with the electromagnet. This limits the method to smaller scale applications where the electromagnet dynamics can be neglected. Voltage-controlled AMBS is used to overcome this limitation but this comes with serious challenges such as complex mathematical modelling and higher order system control. In this work, a PDC with integral part is proposed for position and input tracking control of voltage-controlled AMBS. PDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy model. …

0209 industrial biotechnologyOperating pointElectromagnetComputer scienceAMB voltage-controlledFuzzy modelComputingMagnetic bearing020206 networking & telecommunications02 engineering and technologyFuzzy logiclaw.inventionActive Magnetic BearingsNonlinear system020901 industrial engineering & automationControl theorylawTakagi-Sugeno0202 electrical engineering electronic engineering information engineeringAir gap (plumbing)/dk/atira/pure/subjectarea/asjc/1700/dk/atira/pure/core/subjects/computingVoltageParallel Distributed CompensationComputer Science(all)
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