Search results for "Computer science"

showing 10 items of 22367 documents

High quality conservative surface mesh generation for swept volumes

2012

We present a novel, efficient and flexible scheme to generate a high quality mesh that approximates the outer boundary of a swept volume. Our approach comes with two guarantees. First, the approximation is conservative, i.e., the swept volume is enclosed by the generated mesh. Second, the one-sided Hausdorff distance of the generated mesh to the swept volume is upper bounded by a user defined tolerance. Exploiting this tolerance the algorithm generates a mesh that is adapted to the local complexity of the swept volume boundary, keeping the overall output complexity remarkably low. The algorithm is two-phased: the actual sweep and the mesh generation. In the sweeping phase we introduce a gen…

0209 industrial biotechnologyComputer scienceParallel algorithmBoundary (topology)020207 software engineering02 engineering and technologyParallel computingComputational scienceCUDA020901 industrial engineering & automationMesh generation0202 electrical engineering electronic engineering information engineeringRuppert's algorithmComputingMethodologies_COMPUTERGRAPHICS2012 IEEE International Conference on Robotics and Automation
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Simulated 3-axis versus 5-axis Processing Toolpaths for Single Point Incremental Forming

2019

Abstract Accuracy and productivity of the parts manufactured by single point incremental forming (SPIF) are influenced by the proper selection of toolpaths. CAM software packages are often used for generating the toolpaths for the process. Literature survey have revealed that contour curves and spatial spirals are the most used toolpaths for SPIF. These toolpaths are generated using 3-axis approaches, meaning that the tool axis is maintained parallel to the vertical axis. The 3-axis approach was justified using 3-axis CNC milling machines as the main technological equipment for SPIF. However, nowadays, the wide spreading of both 5-axis CNC milling machines and industrial robots, with far su…

0209 industrial biotechnologyComputer scienceProcess (computing)Mechanical engineeringVertical axis02 engineering and technologyKinematics020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringMachiningComputer-aided manufacturingRobotSingle pointLiterature surveyIOP Conference Series: Materials Science and Engineering
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Summarizing Large Scale 3D Point Cloud for Navigation Tasks

2017

International audience; Democratization of 3D sensor devices makes 3D maps building easier especially in long term mapping and autonomous navigation. In this paper we present a new method for summarizing a 3D map (dense cloud of 3D points). This method aims to extract a summary map facilitating the use of this map by navigation systems with limited resources (smartphones, cars, robots...). This Vision-based summarizing process is applied in a fully automatic way using the photometric, geometric and semantic information of the studied environment.

0209 industrial biotechnologyComputer scienceProcess (engineering)business.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Point cloud020206 networking & telecommunicationsCloud computing02 engineering and technologyTerm (time)020901 industrial engineering & automationHuman–computer interaction0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]RobotScale (map)business
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Formal ontology and CAD integration with macro parametric approach

2017

ABSTRACTThis paper discusses an ontological integration framework in the context of mereotopological formal ontology and CAD systems. Based on a comprehensive literature review of current design knowledge management and formal ontology research works, the authors propose the integration framework that can incorporate design knowledge with CAD systems. The primary role of mereotopology in this research work is the formal representation of design knowledge for the 3D solid assembly models. Most of the existing research works about design ontology present an abstract form and often require significant additional efforts to be integrated into CAD systems. Thus, this work introduces a formal ont…

0209 industrial biotechnologyComputer scienceProcess ontologyOntology-based data integration0211 other engineering and technologiesComputational MechanicsCAD02 engineering and technologyProtégéDesign knowledgeComputer Graphics and Computer-Aided DesignComputational Mathematics020901 industrial engineering & automationFormal ontologySystems engineeringOntologyMereotopology021106 design practice & managementComputer-Aided Design and Applications
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Autonomous 3D geometry reconstruction through robot-manipulated optical sensors

2021

Abstract Many industrial sectors face increasing production demands and need to reduce costs, without compromising the quality. Whereas mass production relies on well-established protocols, small production facilities with small lot sizes struggle to update their highly changeable production at reasonable costs. The use of robotics and automation has grown significantly in recent years, but extremely versatile robotic manipulators are still not commonly used in small factories. Beside of the investments required to enable efficient and profitable use of robot technology, the efforts needed to program robots are only economically viable in case of large lot sizes. Generating robot programs f…

0209 industrial biotechnologyComputer scienceReal-time computingPoint cloud02 engineering and technologyMetrologyIndustrial and Manufacturing EngineeringField (computer science)020901 industrial engineering & automationSoftware0202 electrical engineering electronic engineering information engineeringView planning3D reconstructionbusiness.industryAdaptive mappingMechanical EngineeringInspection3D reconstructionRoboticsRoboticsAutomationComputer Science ApplicationsControl and Systems EngineeringTrajectoryRobot020201 artificial intelligence & image processingArtificial intelligencebusinessSoftware
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Robust link prediction in criminal networks: A case study of the Sicilian Mafia

2020

Abstract Link prediction exercises may prove particularly challenging with noisy and incomplete networks, such as criminal networks. Also, the link prediction effectiveness may vary across different relations within a social group. We address these issues by assessing the performance of different link prediction algorithms on a mafia organization. The analysis relies on an original dataset manually extracted from the judicial documents of operation “Montagna”, conducted by the Italian law enforcement agencies against individuals affiliated with the Sicilian Mafia. To run our analysis, we extracted two networks: one including meetings and one recording telephone calls among suspects, respect…

0209 industrial biotechnologyComputer scienceSettore SPS/12 - SOCIOLOGIA GIURIDICA DELLA DEVIANZA E MUTAMENTO SOCIALENetwork science02 engineering and technologyMachine learningcomputer.software_genreCriminal networksSocial groupSocial network analysis020901 industrial engineering & automationArtificial IntelligenceLink prediction in uncertain graphs0202 electrical engineering electronic engineering information engineeringLink (knot theory)Settore INF/01 - Informaticabusiness.industryGeneral EngineeringLaw enforcementCriminal networks; Link prediction in uncertain graphs; Network science; Social network analysisSettore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI16. Peace & justicelanguage.human_languageComputer Science ApplicationslanguageTopological graph theory020201 artificial intelligence & image processingArtificial intelligencebusinessSiciliancomputerExpert Systems with Applications
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Body Gestures and Spoken Sentences: A Novel Approach for Revealing User’s Emotions

2017

In the last decade, there has been a growing interest in emotion analysis research, which has been applied in several areas of computer science. Many authors have con- tributed to the development of emotion recognition algorithms, considering textual or non verbal data as input, such as facial expressions, gestures or, in the case of multi-modal emotion recognition, a combination of them. In this paper, we describe a method to detect emotions from gestures using the skeletal data obtained from Kinect-like devices as input, as well as a textual description of their meaning. The experimental results show that the correlation existing between body movements and spoken user sentence(s) can be u…

0209 industrial biotechnologyComputer scienceSpeech recognitionGesture Recognition02 engineering and technologycomputer.software_genreEmotion Recognition Gesture Recognition Sentiment AnalysisNonverbal communication020901 industrial engineering & automationSentiment Analysis0202 electrical engineering electronic engineering information engineeringEmotion recognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFacial expressionSettore INF/01 - Informaticabusiness.industry020207 software engineeringGesture recognitionEmotion RecognitionArtificial intelligencebusinesscomputerSentenceNatural language processingMeaning (linguistics)Gesture2017 IEEE 11th International Conference on Semantic Computing (ICSC)
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Guidelines to Select Between Self-Contained Electro-Hydraulic and Electro-Mechanical Cylinder

2020

This research paper presents guidelines on how to select between self-contained electro-hydraulic and electromechanical cylinders. An example based on the motion control of a single-boom crane is studied. The sizing process of the different off-the-shelf components is analyzed in terms of design impact when replacing a traditional valve-controlled hydraulic cylinder. The self-contained electro-hydraulic solution is the best choice when a risk for high impact forces is present, when the required output power level lies continuously above 2 kW, or when installation space, weight, and cost are critical design objectives. However, the electro-mechanical solution is expected to show more control…

0209 industrial biotechnologyComputer scienceStiffnessComputingMilieux_LEGALASPECTSOFCOMPUTING02 engineering and technologyLinear actuatorMotion controlSizingCylinder (engine)law.inventionControllabilityHydraulic cylinder020901 industrial engineering & automation020401 chemical engineeringlawControl theoryLinear motionVDP::Teknologi: 500::Maskinfag: 570medicine0204 chemical engineeringmedicine.symptomHydraulic machineryActuator
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Backlash Identification in Two-Mass Systems by Delayed Relay Feedback

2019

Backlash, also known as mechanical play, is a piecewise differentiable nonlinearity which exists in several actuated systems, comprising, e.g., rack-and-pinion drives, shaft couplings, toothed gears, and other machine elements. Generally, the backlash is nested between the moving parts of a complex dynamic system, which handicaps its proper detection and identification. A classical example is the two-mass system which can approximate numerous mechanisms connected by a shaft (or link) with relatively high stiffness and backlash in series. Information about the presence and extent of the backlash is seldom exactly known and is rather conditional upon factors such as wear, fatigue and incipien…

0209 industrial biotechnologyComputer scienceSystems and Control (eess.SY)02 engineering and technology01 natural scienceslaw.inventionSystem model020901 industrial engineering & automationControl theoryRelaylaw0103 physical sciencesLimit (music)FOS: Electrical engineering electronic engineering information engineeringInstrumentation010302 applied physicsCouplingMechanical EngineeringComputer Science ApplicationsNonlinear systemIdentification (information)Control and Systems EngineeringPiecewiseComputer Science - Systems and ControlBacklashInformation SystemsJournal of Dynamic Systems, Measurement, and Control
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Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis

2020

The use of robotics is beginning to play a key role in automating the data collection process in Non Destructive Testing (NDT). Increasing the use of automation quickly leads to the gathering of large quantities of data, which makes it inefficient, perhaps even infeasible, for a human to parse the information contained in them. This paper presents a solution to this problem by making the process of NDT data acquisition an autonomous one as opposed to an automatic one. In order to achieve this, the robotic data acquisition task is treated as an optimisation problem, where one seeks to find locations with the highest indication of damage. The resulting algorithm combines damage detection tech…

0209 industrial biotechnologyComputer scienceTKAerospace Engineering02 engineering and technologycomputer.software_genre01 natural sciencesField (computer science)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationData acquisitionNon-destructive testing (NDT)0103 physical sciencesUltrasoundUncertainty quantificationOutlier analysis010301 acousticsCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringProbabilistic logicBayesian optimisationAutomationComputer Science ApplicationsControl and Systems EngineeringSignal ProcessingOutlierStructural health monitoringData miningbusinesscomputerGaussian process (GP) regression
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