Search results for "Visual"

showing 10 items of 7386 documents

Aluminium sheet metal scrap recycling through friction consolidation

2019

Abstract In the last decades, several direct-recycling techniques have been developed and investigated in order to avoid material remelting, typical of the conventional aluminum alloys recycling processes. Moreover, the remelting step for aluminum recycling is affected by permanent material losses. Solid-state recycling processes have proven to be a suitable strategy to face such issues. Friction Consolidation is an innovative solid state-recycling technology developed for metal chips. During the process, a rotating die is plunged into a hollow chamber containing the material to be processed. The work of friction forces decaying into heat soften the material and, together with the stirring …

0209 industrial biotechnologyWork (thermodynamics)business.product_categoryMaterials scienceAluminum alloychemistry.chemical_elementScrap02 engineering and technologyIndustrial and Manufacturing EngineeringScrap recycling020901 industrial engineering & automation0203 mechanical engineeringArtificial IntelligenceAluminiumSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFriction consolidationConsolidation (soil)MetallurgyAluminium recycling020303 mechanical engineering & transportschemistryvisual_artvisual_art.visual_art_mediumDie (manufacturing)Sheet metalbusiness
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An energy efficiency analysis of Single Point Incremental Forming as an Approach for Sheet Metal Based Component Reuse

2020

Abstract Producing materials causes about 25% of all anthropogenic CO2 emissions. Metals play a significant role, steel and aluminum account for 24% and 3% of worldwide material related emissions respectively. Fostering resources efficiency strategies in the field of sheet components could lead to a significant environmental impact reduction. Reshaping could be one of the most efficient strategy to foster material reuse and lower the environmental impact due to material production. Specifically, for aluminum recycling, the overall energy efficiency of conventional route is very low and, more importantly, permanent material losses occur during re-melting because of oxidation. The present pap…

0209 industrial biotechnologybusiness.industryAluminium recycling02 engineering and technology010501 environmental sciencesReuse01 natural sciencesTechnical feasibility020901 industrial engineering & automationComponent (UML)visual_artvisual_art.visual_art_mediumGeneral Earth and Planetary SciencesEnvironmental scienceProduction (economics)Process engineeringbusinessSheet metalEnergy (signal processing)0105 earth and related environmental sciencesGeneral Environmental ScienceEfficient energy useProcedia CIRP
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Visual saliency detection in colour images based on density estimation

2017

International audience; A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and and texture patterns from neighbouring regions. We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of our method.

0209 industrial biotechnologybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionGaussian density02 engineering and technologyDensity estimation[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Measure (mathematics)Texture (geology)020901 industrial engineering & automationSalientComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessComputingMethodologies_COMPUTERGRAPHICSVisual saliencyElectronics Letters
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Tracking Moving Objects With a Catadioptric Sensor Using Particle Filter

2011

International audience; Visual tracking in video sequences is a widely developed topic in computer vision applications. However, the emergence of panoramic vision using catadioptric sensors has created the need for new approaches in order to track an object in this type of images. Indeed the non-linear resolution and the geometric distortions due to the insertion of the mirror, make tracking in catadioptric images a very challenging task. This paper describes particle filter for tracking moving object over time using a catadioptric sensor. In this work different problems due to the specificities of the catadioptric systems such as geometry are considered. The obtained results demonstrate an…

0209 industrial biotechnologybusiness.industryComputer scienceparticle filtersComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologycatadioptric cameravisual tracking[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Catadioptric system020901 industrial engineering & automation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)Video tracking0202 electrical engineering electronic engineering information engineeringClutterCatadioptric sensor020201 artificial intelligence & image processingComputer visionArtificial intelligenceImage sensorParticle filterbusinessImage resolution
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Heuristics for the min–max arc crossing problem in graphs

2018

Abstract In this paper, we study the visualization of complex structures in the context of automatic graph drawing. Constructing geometric representations of combinatorial structures, such as networks or graphs, is a difficult task that requires an expert system. The automatic generation of drawings of graphs finds many applications from software engineering to social media. The objective of graph drawing expert systems is to generate layouts that are easy to read and understand. This main objective is achieved by solving several optimization problems. In this paper we focus on the most important one: reducing the number of arc crossings in the graph. This hard optimization problem has been…

021103 operations researchTheoretical computer scienceOptimization problemComputer scienceHeuristic0211 other engineering and technologiesGeneral Engineering0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesGraphExpert systemComputer Science ApplicationsVisualization010201 computation theory & mathematicsArtificial IntelligenceGraph drawingHeuristicscomputerExpert Systems with Applications
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Kinetic, isotherm and thermodynamic studies of the adsorption of methylene blue dye onto agro-based cellulosic materials

2015

AbstractThe purpose of this work is to establish the optimal experimental conditions for the removal of methylene blue (MB-as model basic dye) from aqueous solution by adsorption onto four agro-based materials, namely, cedar sawdust, pine sawdust, wheat straw, and Provence cane Arundo donax. Results show that an increase in acidity or ionic strength of the medium has generally a negative effect on the discoloration yield. From the data of pH effect, there is no need to change the initial pH of the MB solution to be treated. Equilibrium was reached after 20−30 min of agitation when cedar sawdust, pine sawdust, and Provence cane are used as adsorbents. However, in the case of wheat straw, an …

021110 strategic defence & security studiesAqueous solutionChromatographyChemistry0211 other engineering and technologiesLangmuir adsorption modelOcean Engineering02 engineering and technologyStraw021001 nanoscience & nanotechnologyPollutionsymbols.namesakechemistry.chemical_compoundAdsorptionChemical engineeringIonic strengthvisual_artMass transfervisual_art.visual_art_mediumsymbolsSawdust0210 nano-technologyMethylene blueWater Science and TechnologyDesalination and Water Treatment
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Two novel subjective logic-based in-network data processing schemes in wireless sensor networks

2016

Wireless sensor networks (WSNs) consist of connected low-cost and small-size sensor nodes. The sensor nodes are characterized by various limitations, such as energy availability, processing power, and storage capacity. Typically, nodes collect data from an environment and transmit the raw or processed data to a sink. However, the collected data contains often redundant information. An in-network processing scheme attempts to eliminate or reduce such redundancy in sensed data. In this paper, we propose two in-network data processing schemes for WSNs, which are built based on a lightweight algebra for data processing. The schemes bring also benefits like decreased network traffic load and inc…

021110 strategic defence & security studiesData processingbusiness.industryComputer scienceVisual sensor networkReal-time computing0211 other engineering and technologies020206 networking & telecommunications02 engineering and technologySynthetic dataKey distribution in wireless sensor networks0202 electrical engineering electronic engineering information engineeringMobile wireless sensor networkWirelessbusinessSubjective logicWireless sensor network2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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Visualization of Exchanged Information with Dynamic Networks: A Case Study of Fire Emergency Search and Rescue Operation

2017

To perform emergency response activities, complex networks of emergency responders from different emergency organizations work together to rescue affected people and to mitigate the property losses. However, to work efficiently, the emergency responders have to rely completely on the data which gets generated from heterogeneous data sources during search and rescue operation (SAR). From this abundant data, rescue teams share needed information which is hidden in the abundant data with one another to make decisions, obtain situational awareness and also to assign tasks. Moreover, understanding and analyzing the shared information is a complex and very challenging task. Therefore, in this pap…

021110 strategic defence & security studiesEmergency managementSituation awarenessbusiness.industryComputer scienceProperty (programming)Information sharing0211 other engineering and technologies030208 emergency & critical care medicine02 engineering and technologyComplex networkComputer securitycomputer.software_genreVisualizationTask (project management)03 medical and health sciences0302 clinical medicinebusinesscomputerSearch and rescue2017 IEEE 7th International Advance Computing Conference (IACC)
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The application of electroanalytical methods to determine affinity series of metal cations for functional biosorbent groups

2018

Abstract The affinity of the selected heavy metal cations: Mn 2 + , Ni 2 + , Cu 2 + , Zn 2 + , Cd 2 + , Pb 2 + and Na + , K + , Mg 2 + , Ca 2 + was determined for the functional groups located on the surface of leached barley middlings, so called Brewer's spent grain (BSG) – a by-product of the brewing industry. A simple method for determining the affinity series, with the use of a conductivity meter and a pH-meter, was described. It was demonstrated that the affinity of cations for the functional groups located on the surface of the BSG increases in the series: Na + + 2 + 2 +  ≈ Zn 2 + 2 +  ≈ Ca 2 + 2 + 2 + 2 + , and the series was determined by comparing concentrations expressed in gram e…

021110 strategic defence & security studiesMolar concentrationChemistryGeneral Chemical Engineering0211 other engineering and technologiesHeavy metalsMetal cation affinity02 engineering and technology010501 environmental sciences01 natural sciencesBrewer's spent grainAnalytical ChemistryMetalHeavy metalsvisual_artBiosorptionElectrochemistryElectroanalytical methodvisual_art.visual_art_medium0105 earth and related environmental sciencesNuclear chemistryJournal of Electroanalytical Chemistry
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Selection of time windows in the horizontal-to-vertical noise spectral ratio by means of cluster analysis

2016

The selection of the elementary analysis windows in continuous noise recordings for optimal estimation of the mean horizontal‐to‐vertical spectral ratio (HVSR) curve is generally performed by visual inspection of HVSR curves considered as functions of time. Starting from full‐length records, HVSR curves are determined in consecutive time windows of appropriate lengths. Time windows with HVSR curves that are anomalous on the basis of a simple visual inspection are generally ignored in the computation of the average HVSR curve. It is often very difficult to optimize the selection of time windows to be used for the calculation of the HVSR curve representative of a site. The use of nonobjective…

021110 strategic defence & security studiesOptimal estimationComputationVisual comparison0211 other engineering and technologies02 engineering and technologySeismic noise010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesNoiseSeismic hazardGeophysicsGeochemistry and PetrologySettore GEO/11 - Geofisica ApplicataData miningCluster analysisAlgorithmcomputerReliability (statistics)0105 earth and related environmental sciencesMathematics
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