Search results for "Automation"

showing 10 items of 1181 documents

Adaptive Consensus-Based Distributed Kalman Filter for WSNs with Random Link Failures

2016

Wireless Sensor Networks have emerged as a very powerful tool for the monitoring and control, over large areas, of diverse phenomena. One of the most appealing properties of these networks is their potentiality to perform complex tasks in a total distributed fashion, without requiring a central entity. In this scenario, where nodes are constrained to use only local information and communicate with one-hop neighbors, iterative consensus algorithms are extensively used due to their simplicity. In this work, we propose the design of a consensus-based distributed Kalman filter for state estimation, in a sensor network whose connections are subject to random failures. As a result of this unrelia…

0209 industrial biotechnologyComputer scienceDistributed computingEstimator020206 networking & telecommunications02 engineering and technologyKalman filterInvariant extended Kalman filterExtended Kalman filter020901 industrial engineering & automationFilter (video)0202 electrical engineering electronic engineering information engineeringFast Kalman filterWireless sensor networkRandom variable2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)
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Topology design to increase network lifetime in WSN for graph filtering in consensus processes

2018

Graph filters, which are considered as the workhorses of graph signal analysis in the emerging field of signal processing on graphs, are useful for many applications such as distributed estimation in wireless sensor networks. Many of these tasks are based on basic distributed operators such as consensus, which are carried out by sensor devices under limited energy supply. To cope with the energy constraints, this paper focuses on designing the network topology in order to maximize the network lifetime and reduce the energy consumption when applying graph filters. The problem is a complex combinatorial problem and in this work, we propose two efficient heuristic algorithms for solving it. We…

0209 industrial biotechnologyComputer scienceDistributed computingLogical topology020206 networking & telecommunications02 engineering and technologyEnergy consumptionNetwork topologyGraph020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringAlgorithm designEnergy supplyWireless sensor network2017 25th European Signal Processing Conference (EUSIPCO)
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BIAM: a new bio-inspired analysis methodology for digital ecosystems based on a scale-free architecture

2017

Today we live in a world of digital objects and digital technology; industry and humanities as well as technologies are truly in the midst of a digital environment driven by ICT and cyber informatics. A digital ecosystem can be defined as a digital environment populated by interacting and competing digital species. Digital species have autonomous, proactive and adaptive behaviors, regulated by peer-to-peer interactions without central control point. An interconnecting architecture with few highly connected nodes (hubs) and many low connected nodes has a scale- free architecture. A new bio-inspired analysis methodology (BIAM) environment, an investigation strategy for information flow, fault…

0209 industrial biotechnologyComputer scienceDistributed computingScale (chemistry)Metabolic networkComputational intelligence02 engineering and technologyTheoretical Computer ScienceSet (abstract data type)Scale-free architectureDigital ecosystemDigital ecosystem020901 industrial engineering & automationInformation and Communications TechnologyInformatics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingEcosystemDE architectural analysiGeometry and TopologyInformation flow (information theory)ArchitectureScience technology and societySoftware
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Towards a Reference Architecture for Archival Systems: Use Case With Product Data

2014

Long-term preservation of product data is imperative for many organizations. A product data archive should be designed to ensure information accessibility and understanding over time. Approaches, such as the Open Archival Information System Reference Model (OAIS RM) and the Audit and Certification of Trustworthy Digital Repositories (ACTDR), provide a framework for conceptually describing and evaluating archives. These approaches are generic and do not focus on particular contexts or content types such as product data. Moreover, these approaches offer no guidance on how to formally and comprehensively describe archival systems. Such descriptions should include the business activities that a…

0209 industrial biotechnologyComputer scienceEnterprise architecture020101 civil engineering02 engineering and technologyIndustrial and Manufacturing Engineering0201 civil engineeringTerminologyWorld Wide Web[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automation[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO]Computer Science [cs]Reference architectureArchitectureReference modelComputingMilieux_MISCELLANEOUS[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industryComputer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsOpen Archival Information SystemInformation model[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Department of Defense Architecture Framework[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Software engineeringbusinessSoftwareJournal of Computing and Information Science in Engineering
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Fractional-Order System Identification of Viscoelastic Behavior: A Frequency Domain Based Experimental Study

2020

In this work, the fractional-order modeling of viscoelastic behavior is investigated based on measurement data in the frequency domain. For the results of two different test setups we apply existing parameter estimation algorithms designed for fractional-order transfer functions. These algorithms require a priori knowledge of the system structure including the commensurate order of differentiation. An iterative procedure is used to evaluate the influence of the unknown structure. The measured polymer samples show a viscoelastic stress response. We can show that integer-order models are not capable of capturing this behavior. For a set of predefined structures, the best obtained fractional-o…

0209 industrial biotechnologyComputer scienceFractional-order system02 engineering and technologyVariation of parametersTransfer functionViscoelasticitySet (abstract data type)Identification (information)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFrequency domainA priori and a posterioriAlgorithm2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
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On Stability of Virtual Torsion Sensor for Control of Flexible Robotic Joints with Hysteresis

2019

Author's accepted manuscript (postprint). This article has been published in a revised form in Robotica, http://doi.org/10.1017/S0263574719001358. This version is free to view and download for private research and study only. Not for re-distribution or re-use. © 2019 Cambridge University Press. Available from 25/03/2020. Aim of the virtual torsion sensor (VTS) is in observing the nonlinear deflection in the flexible joints of robotic manipulators and, by its use, improving positioning control of the joint load. This model-based approach utilizes the motor-side sensing only and, therefore, replaces the load-side encoders at nearly zero hardware costs. For being applied in the closed control …

0209 industrial biotechnologyComputer scienceGeneral Mathematics020208 electrical & electronic engineeringPassivityTorsion (mechanics)02 engineering and technologyComputer Science ApplicationsRobot controlSystem dynamicsNonlinear systemVDP::Teknologi: 500020901 industrial engineering & automationControl and Systems EngineeringControl theoryControl systemJoint stiffness0202 electrical engineering electronic engineering information engineeringmedicinemedicine.symptomEncoderSoftware
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Visual contact with catadioptric cameras

2015

Abstract Time to contact or time to collision (TTC) is utmost important information for animals as well as for mobile robots because it enables them to avoid obstacles; it is a convenient way to analyze the surrounding environment. The problem of TTC estimation is largely discussed in perspective images. Although a lot of works have shown the interest of omnidirectional camera for robotic applications such as localization, motion, monitoring, few works use omnidirectional images to compute the TTC. In this paper, we show that TTC can be also estimated on catadioptric images. We present two approaches for TTC estimation using directly or indirectly the optical flow based on de-rotation strat…

0209 industrial biotechnologyComputer scienceGeneral MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyCatadioptric system020901 industrial engineering & automationOmnidirectional cameraDepth map0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionComputingMilieux_MISCELLANEOUSPixelbusiness.industryPerspective (graphical)[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Mobile robotReal imageComputer Science ApplicationsControl and Systems EngineeringObstacle020201 artificial intelligence & image processingArtificial intelligencebusinessSoftware
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Hankelet-based action classification for motor intention recognition

2017

Powered lower-limb prostheses require a natural, and an easy-to-use, interface for communicating amputee’s motor intention in order to select the appropriate motor program in any given context, or simply to commute from active (powered) to passive mode of functioning. To be widely accepted, such an interface should not put additional cognitive load at the end-user, it should be reliable and minimally invasive. In this paper we present a one such interface based on a robust method for detecting and recognizing motor actions from a low-cost wearable sensor network mounted on a sound leg providing inertial (accelerometer, gyrometer and magnetometer) data in real-time. We assume that the sensor…

0209 industrial biotechnologyComputer scienceGeneral MathematicsInterface (computing)Context (language use)02 engineering and technologyAction recognitionLTI system theoryMatrix (mathematics)020901 industrial engineering & automationMatch moving0202 electrical engineering electronic engineering information engineeringMathematics (all)Computer visionObservabilitySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industrySystem identificationComputer Science Applications1707 Computer Vision and Pattern RecognitionAction recognition; Motor intention recognition; Powered (active) lower-limb prostheses; Wearable sensor networks; Control and Systems Engineering; Software; Mathematics (all); Computer Science Applications1707 Computer Vision and Pattern RecognitionMotor intention recognitionComputer Science ApplicationsSupport vector machineControl and Systems EngineeringPowered (active) lower-limb prostheseWearable sensor network020201 artificial intelligence & image processingArtificial intelligencebusinessHankel matrixSoftwareRobotics and Autonomous Systems
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Underwater Wireless Communications for Cooperative Robotics with UWSim-NET

2019

The increasing number of autonomous underwater vehicles (AUVs) cooperating in underwater operations has motivated the use of wireless communications. Their modeling can minimize the impact of their limited performance in real-time robotic interventions. However, robotic frameworks hardly ever consider the communications, and network simulators are not suitable for HIL experiments. In this work, the UWSim-NET is presented, an open source tool to simulate the impact of communications in underwater robotics. It gathers the benefits of NS3 in modeling communication networks with those of the underwater robot simulator (UWSim) and the robot operating system (ROS) in modeling robotic systems. Thi…

0209 industrial biotechnologyComputer scienceHardware In The LoopReal-time computing02 engineering and technologyUnderwater robotics01 natural scienceslcsh:Technologylcsh:Chemistry020901 industrial engineering & automationWirelessGeneral Materials ScienceUnderwaterInstrumentationComunicació i tecnologialcsh:QH301-705.50105 earth and related environmental sciencesFluid Flow and Transfer Processes010505 oceanographybusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral EngineeringHardware-in-the-loop simulationRoboticsXarxes locals sense fil Wi-Fiunderwater roboticssimulationTelecommunications networklcsh:QC1-999Computer Science Applicationsunderwater communicationslcsh:Biology (General)lcsh:QD1-999Alohalcsh:TA1-2040Artificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)RobotsUnderwater acoustic communicationlcsh:PhysicsApplied Sciences
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Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

2020

[EN] The development of accurate real-time models of the biomechanical behavior of different organs and tissues still poses a challenge in the field of biomechanical engineering. In the case of the liver, specifically, such a model would constitute a great leap forward in the implementation of complex applications such as surgical simulators, computed-assisted surgery or guided tumor irradiation. In this work, a relatively novel approach for developing such a model is presented. It consists in the use of a machine learning algorithm, which provides real-time inference, trained on tens of thousands of simulations of the biomechanical behavior of the liver carried out by the finite element me…

0209 industrial biotechnologyComputer scienceINGENIERIA MECANICA02 engineering and technologyMachine learningcomputer.software_genreField (computer science)020901 industrial engineering & automationArtificial IntelligenceEuclidean geometryMachine learning0202 electrical engineering electronic engineering information engineeringFinite element method Real timebusiness.industryWork (physics)General EngineeringCoherent point driftBiomechanical engineeringFinite element methodComputer Science ApplicationsRange (mathematics)Liver020201 artificial intelligence & image processingArtificial intelligenceBiomechanical modelingbusinesscomputer
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