Search results for "Artificial"

showing 10 items of 7394 documents

A naïve way of looking at fuzzy sets

2016

In this study, we consider the concept of a predicate (P) in a universe of discourse X from a specific viewpoint, i.e., the informational viewpoint with respect to its linguistic use. Its meaning and its different types are considered, particularly by considering the predicates that are "measurable" and designate a "collective" (P) in X, which is not always a classical subset of X. We show that the collective P manifests itself in different "states" or fuzzy sets, where knowledge and representation depend on the available information regarding the use of the predicate P in X. We also analyze the linguistic concept of a "collective" where the fuzzy sets are nothing other than informational s…

0209 industrial biotechnologyLogicbusiness.industryFuzzy set02 engineering and technologyPredicate (grammar)Epistemology020901 industrial engineering & automationArtificial IntelligenceNothing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingDomain of discourseArtificial intelligencebusinessMathematicsFuzzy Sets and Systems
researchProduct

Engineering multi-agent systems using feedback loops and holarchies

2016

This paper presents a methodological approach for the engineering of Multi-Agent Systems using feedback loops as a first class concept in order to identify organizations. Feedback loops are a way for modeling complex systems that expose emergent behavior by means of a cause-effect loop between two levels called micro and macro levels of the system. The proposed approach principles consist in defining an abstract feedback loop pattern and providing activities and guidelines in order to identify and refine possible candidates for feedback loops during the analysis phase of the Aspecs methodology. This approach is illustrated by using an example drawn from the smart grid field.

0209 industrial biotechnologyLoop (graph theory)Computer scienceMulti-agent systemMulti-agent systemsMethodologyControl engineering02 engineering and technologyFeedback loopFeedback loopsField (computer science)020901 industrial engineering & automationSmart gridHolarchiesMulti-agent systemArtificial IntelligenceControl and Systems Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingFeedback loopElectrical and Electronic EngineeringHolarchie
researchProduct

Prediction-Based Assembly Assistance System

2020

This paper presents the design of a prediction-based assembly assistance system for manual operations and the results obtained on the data collected from experiments of assembling a customizable product. We integrated into the proposed system a Markov predictor improved with a padding mechanism whose role is to recommend the next assembly step and to detect the worker’s errors. The predictor is trained with correct assembly patterns and tested with real assembly/manufacturing data. The proposed predictor improves the coverage and, thus, there is a significantly higher number of assembly steps which are correctly correlated with the real intentions of the workers.

0209 industrial biotechnologyMarkov chainComputer sciencebusiness.industry02 engineering and technologycomputer.software_genreAutomationMechanism (engineering)020901 industrial engineering & automationProduct (mathematics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingData miningHardware_CONTROLSTRUCTURESANDMICROPROGRAMMINGbusinesscomputer2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
researchProduct

Accurate keyframe selection and keypoint tracking for robust visual odometry

2016

This paper presents a novel stereo visual odometry (VO) framework based on structure from motion, where a robust keypoint tracking and matching is combined with an effective keyframe selection strategy. In order to track and find correct feature correspondences a robust loop chain matching scheme on two consecutive stereo pairs is introduced. Keyframe selection is based on the proportion of features with high temporal disparity. This criterion relies on the observation that the error in the pose estimation propagates from the uncertainty of 3D points—higher for distant points, that have low 2D motion. Comparative results based on three VO datasets show that the proposed solution is remarkab…

0209 industrial biotechnologyMatching (graph theory)Computer scienceVisual odometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyKeyframe selectionRANSAC020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringStructure from motionComputer visionVisual odometryVisual Odometry Structure from Motion RANSAC feature matching keyframe selectionPoseSelection (genetic algorithm)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRANSACSettore INF/01 - InformaticaFeature matchingbusiness.industryStructure from motionPattern recognitionComputer Science ApplicationsHardware and ArchitectureFeature (computer vision)Pattern recognition (psychology)020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
researchProduct

Real time UAV altitude, attitude and motion estimation from hybrid stereovision

2012

International audience; Knowledge of altitude, attitude and motion is essential for an Unmanned Aerial Vehicle during crit- ical maneuvers such as landing and take-off. In this paper we present a hybrid stereoscopic rig composed of a fisheye and a perspective camera for vision-based navigation. In contrast to classical stereoscopic systems based on feature matching, we propose methods which avoid matching between hybrid views. A plane-sweeping approach is proposed for estimating altitude and de- tecting the ground plane. Rotation and translation are then estimated by decoupling: the fisheye camera con- tributes to evaluating attitude, while the perspective camera contributes to estimating t…

0209 industrial biotechnologyMatching (statistics)Computer scienceUAVComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputerApplications_COMPUTERSINOTHERSYSTEMSStereoscopy02 engineering and technologyTranslation (geometry)law.inventionMotion020901 industrial engineering & automationArtificial IntelligenceInertial measurement unitlawMotion estimation0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Hybrid stereovisionComputer visionComputingMethodologies_COMPUTERGRAPHICSAltitude (triangle)business.industryAltitude[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Astrophysics::Instrumentation and Methods for AstrophysicsAttitude020201 artificial intelligence & image processingArtificial intelligencebusinessRotation (mathematics)Embedded CAutonomous Robots
researchProduct

Assessing the influence of fieldshaper material on magnetic pulse welded interface of Al/Cu joints

2019

Abstract Fieldshaper (FS) is a widely used component in magnetic pulse forming and welding to improve the efficiency of the process. It enables to increase the magnetic pressure experienced by the workpieces during forming and welding. Recent developments in this subject focuses to increase the life time of the fieldshaper and to improve the efficiency by introducing shape optimized designs. In this study, we compare the efficiency of four fieldshapers made of Cuprofor, Siclanic, CuBe2 and Steel. The main focus is given to the effect of material properties while the same geometry was considered for those four fieldshapers. The same welding conditions (discharge voltage of 6kV and air gap of…

0209 industrial biotechnologyMaterials scienceMagnetic pulse weldingdissimilar joints02 engineering and technologyWeldingInterfaceKinetic energyIndustrial and Manufacturing EngineeringVortexlaw.invention020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFieldshaperArtificial IntelligencelawMagnetic pressureComposite materialPorosityAir gap (plumbing)Material propertiesVoltage
researchProduct

Design of continuous Friction Stir Extrusion machines for metal chip recycling: issues and difficulties

2018

Abstract Friction Stir Extrusion is an innovative direct-recycling technology developed for metal machining chips. During the process, a rotating die is plunged into a cylindrical chamber containing the material to be recycled. The stirring action of the die prompts solid bonding phenomena allowing the back extrusion of a full dense rod. One of the main weakness of this technology is the discontinuity of the process itself that limits the extrudates volume to the capacity of the chamber. In order to overcome that limitation, a dedicated extrusion fixture has to be developed, keeping into account the concurrent needs of a continuous machine. The geometry of the die has to ensure proper press…

0209 industrial biotechnologyMaterials scienceMetal machiningMechanical engineering02 engineering and technologyFixtureMachine design021001 nanoscience & nanotechnologyChipIndustrial and Manufacturing EngineeringChip recycling020901 industrial engineering & automationArtificial IntelligenceMachine designContinuous Friction Stir ExtrusionExtrusion0210 nano-technologyProcedia Manufacturing
researchProduct

Friction Stir Welding of Ti6Al4V complex geometries for aeronautical applications: a feasibility study

2020

Abstract While Friction Stir Welding (FSW) of aluminium alloys can be considered a mature technology, even for complex joint morphologies, as T joints welded “in transparency”, welding of hard material still presents several open issues. In fact, welding of titanium alloys is a challenging process due to the chemical, mechanical and thermal characteristics of such materials which are subjected to atmosphere contamination resulting in joint hydrogen, oxygen and nitrogen embrittlement; additionally, due to the high melting temperature, large distortion and residual stress are found in joints obtained by traditional fusion welding processes as gas metal arc welding, electron beam welding and l…

0209 industrial biotechnologyMaterials scienceMetallurgyFriction Stir WeldingLaser beam weldingTitanium alloy02 engineering and technologyWeldingIndustrial and Manufacturing EngineeringGas metal arc weldinglaw.inventionFusion welding020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringArtificial IntelligenceResidual stresslawT-joints.Electron beam weldingFriction stir weldingTitanium alloySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneProcedia Manufacturing
researchProduct

Forecasting portfolio returns using weighted fuzzy time series methods

2016

We propose using weighted fuzzy time series (FTS) methods to forecast the future performance of returns on portfolios. We model the uncertain parameters of the fuzzy portfolio selection models using a possibilistic interval-valued mean approach, and approximate the uncertain future return on a given portfolio by means of a trapezoidal fuzzy number. Introducing some modifications into the classical models of fuzzy time series, based on weighted operators, enables us to generate trapezoidal numbers as forecasts of the future performance of the portfolio returns. This fuzzy forecast makes it possible to approximate both the expected return and the risk of the investment through the value and a…

0209 industrial biotechnologyMathematical optimizationActuarial scienceSeries (mathematics)Mathematics::General MathematicsComputer scienceApplied MathematicsFuzzy set02 engineering and technologyFuzzy logicDefuzzificationTheoretical Computer Science020901 industrial engineering & automationArtificial Intelligence0202 electrical engineering electronic engineering information engineeringExpected returnPortfolioFuzzy number020201 artificial intelligence & image processingPortfolio optimizationSoftwareInternational Journal of Approximate Reasoning
researchProduct

Optimal control of discrete-time interval type-2 fuzzy-model-based systems with D-stability constraint and control saturation

2016

This paper investigates the optimal control problem for discrete-time interval type-2 (IT2) fuzzy systems with pole constraints. An IT2 fuzzy controller is characterized by two predefined functions, and the membership functions and the premise rules of the IT2 fuzzy controller can be chosen freely. The pole assignment is considered, which is constrained in a presented disk region. Based on Lyapunov stability theory, sufficient conditions of asymptotic stability with an H ∞ performance are obtained for the discrete-time IT2 fuzzy model based (FMB) system. Based on the criterion, the desired IT2 state-feedback controller is designed to guarantee that the closed-loop system is asymptotically s…

0209 industrial biotechnologyMathematical optimizationAdaptive neuro fuzzy inference system02 engineering and technologyFuzzy control systemOptimal controlDefuzzificationFuzzy logic020901 industrial engineering & automationControl and Systems EngineeringControl theorySignal Processing0202 electrical engineering electronic engineering information engineeringFuzzy set operationsFuzzy number020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringSoftwareMathematicsSignal Processing
researchProduct