Search results for "Bust"

showing 10 items of 1000 documents

The Influence of the Electric Field on the Development of the Swirling Flame Velocity Field and Combustion Characteristics

2008

Fluid Flow and Transfer ProcessesMaterials scienceMechanical EngineeringElectric fieldVector fieldDevelopment (differential geometry)MechanicsCondensed Matter PhysicsCombustionHeat Transfer Research
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A Marble Bust Newly Discovered by the Trapani Lombardo Family of Reggio Calabria (Southern Italy)

2023

This research concerns a stylistic and archaeometric study of an ancient marble female bust recently discovered by the Trapani Lombardo family of Reggio Calabria (Southern Italy) and delivered to the Superintendency of Archaeology, Fine Arts, and Landscape for the metropolitan city of Reggio Calabria and Vibo Valentia (SABAP). Based on the first technical, stylistic, and iconographic observations made by the competent bodies, it is a half-length portrait bust from the Roman era, which precisely had the function of faithfully reproducing the physiognomy of the depicted subject. The research aimed to establish the authenticity of the artwork and the origin of the raw material, providing indic…

Fluid Flow and Transfer Processesarchaeometry diagnostic cultural heritage marble museum Reggio Calabria Roman age Roman female bustarchaeometry; diagnostic; cultural heritage; marble; museum; Reggio Calabria; Roman age; Roman female bustProcess Chemistry and TechnologyGeneral EngineeringGeneral Materials ScienceInstrumentationSettore GEO/09 -Georis. Miner.e Appl.Mineral.-Petrogr. per l'Ambi.ed i B.Cult.Computer Science ApplicationsApplied Sciences; Volume 13; Issue 11; Pages: 6426
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Robustness Analysis of DCE-MRI-Derived Radiomic Features in Breast Masses: Assessing Quantization Levels and Segmentation Agreement

2022

Featured Application The use of highly robust radiomic features is fundamental to reduce intrinsic dependencies and to provide reliable predictive models. This work presents a study on breast tumor DCE-MRI considering the radiomic feature robustness against the quantization settings and segmentation methods. Machine learning models based on radiomic features allow us to obtain biomarkers that are capable of modeling the disease and that are able to support the clinical routine. Recent studies have shown that it is fundamental that the computed features are robust and reproducible. Although several initiatives to standardize the definition and extraction process of biomarkers are ongoing, th…

Fluid Flow and Transfer Processesradiomic featuresrobustness analysis; radiomic features; quantization levels; segmentation method agreement; DCE-MRI; breast tumorsbreast tumorDCE-MRIProcess Chemistry and TechnologyGeneral Engineeringbreast tumors; DCE-MRI; quantization levels; radiomic features; robustness analysis; segmentation method agreementComputer Science Applicationsquantization levelsrobustness analysisGeneral Materials Sciencesegmentation method agreementbreast tumorsInstrumentation
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Guest Editorial: Advanced Motion Control for Mechatronic Applications With Precision and Force Requirements

2021

The articles in this special section focus on advanced motion control for mechatronic applications with precision and force requirements. Motion control is concerned with all the issues arising in the control of the movement of a physical device. This means that MC is not limited to the use of proper devices for sensing and actuation, in addition to suitable control algorithms, but it also deals with all the possible interactions of the controlled devices with the environment. This is the most remarkable aspect of MC, nowadays deployed in numerous mechatronic systems, especially those which are dynamically acting in heterogenous, time-varying, active, and human-accessible environments. With…

Focus (computing)Control and Systems EngineeringRobustness (computer science)Computer scienceVirtual sensorsControl engineeringEnergy consumptionElectrical and Electronic EngineeringMechatronicsMotion controlDesign methodsMotion (physics)IEEE Transactions on Industrial Electronics
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Identification and Robust Control of a Quadratic DC/DC Boost Converter by Hammerstein Model

2015

This paper deals with the theoretical framework definition and the experimental application of the Hammerstein (HM) identification and related robust control technique to a quadratic dc/dc single-switch boost (Q-boost) converter. A set of fourth-order transfer functions (TFs) has been identified with the Hammerstein approach, on the basis of a pseudorandom-binary-sequence (PRBS) excitation signal. The set of identified TFs has been then used to design a suitable robust control technique, able to properly deal with the converter parameter uncertainty and load variations. The proposed approach has been tested in numerical simulation and validated experimentally on a suitably developed test se…

Forward converterEngineeringsensitivity analysis.Flyback converterbusiness.industryHammerstein identificationĆuk converterHammerstein approachquadratic dc/dc boost (Q-boost) converterQuadratic DC/DC boost converter sensitivity analysis Hammerstein approach robust control uncertaintyPseudorandom binary sequenceTransfer functionIndustrial and Manufacturing EngineeringQuadratic equationSettore ING-INF/04 - Automaticasensitivity analysisControl and Systems EngineeringControl theoryBoost converterquadratic DC/DC boost converterSensitivity (control systems)Electrical and Electronic EngineeringRobust controlbusinessrobust control
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Cogeneration from thermal treatment of selected municipal solid wastes. A stoichiometric model building for the case study on Palermo

2003

This paper aims to calculate the energetic and environmental effects of an integrated solid waste management system in Palermo, Italy. In particular, the thermal treatment of Municipal Solid Waste (MSW) with energy recovery is assessed. The current characterization at the local scale is taken into account. Two different options of collection are taken into account: (1) unselected wastes; and (2) sorted collection, according to the current Italian regulation. Combustion process is analyzed and the following features are calculated: (1) stoichiometric content of air and air excess; and (2) temperature and enthalpy of flue gases. Energy recovery is performed in the hypothesis of Hirn cycle bot…

Fossil FuelsTechnologyEngineeringFlue gasEnergy recoveryMunicipal solid wasteWaste managementbusiness.industryFossil fuelEnvironmental engineeringConservation of Energy ResourcesPublic PolicyIncinerationModels TheoreticalCombustionRefuse DisposalCogenerationWaste treatmentElectricityItalybusinessWaste Management and DisposalThermal energyWaste Management
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Topological optimization of a structural naval component manufactured in FDM

2019

In this paper, a topological optimization procedure has been applied on a real component of the deck of a sailing multi-hull in order to find the internal shape that best save the material used in the manufacturing process without a relevant loss of structural rigidity. The multi-hull boat is a 16 feet length catamaran equipped with an asymmetric foil on both centerboards and with a symmetric foil on both rudders. The task of the analyzed object is to act as a cylindrical support for the screw that drives the rotation of the centerboard. The process adopted to manufacture this object is the Fused Deposition Modeling (FDM) technique, because of its high versatility and its relative low-cost …

Fused deposition modelingComputer scienceTopology optimizationMechanical engineeringRudderFused deposition modelingDecklaw.inventionCAD modelingSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineRobustness (computer science)lawTopological optimizationTopology optimizationStructural rigiditySettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeFOIL method
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A genetic integrated fuzzy classifier

2005

This paper introduces a new classifier, that is based on fuzzy-integration schemes controlled by a genetic optimisation procedure. Two different types of integration are proposed here, and are validated by experiments on real data sets of biological cells. The performance of our classifier is tested against a feed-forward neural network and a Support Vector Machine. Results show the good performance and robustness of the integrated classifier strategies.

Fuzzy classificationNeuro-fuzzyComputer scienceFuzzy setMachine learningcomputer.software_genreClassification Classifier Ensemble Evolutionary Algorithms.Artificial IntelligenceRobustness (computer science)Genetic algorithmCluster analysisAdaptive neuro fuzzy inference systemLearning classifier systemSettore INF/01 - InformaticaArtificial neural networkStructured support vector machinebusiness.industryPattern recognitionQuadratic classifierSupport vector machineComputingMethodologies_PATTERNRECOGNITIONSignal ProcessingMargin classifierFuzzy set operationsComputer Vision and Pattern RecognitionArtificial intelligencebusinesscomputerClassifier (UML)SoftwarePattern Recognition Letters
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Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering

2017

Clustering is an unsupervised machine learning and pattern recognition method. In general, in addition to revealing hidden groups of similar observations and clusters, their number needs to be determined. Internal clustering validation indices estimate this number without any external information. The purpose of this article is to evaluate, empirically, characteristics of a representative set of internal clustering validation indices with many datasets. The prototype-based clustering framework includes multiple, classical and robust, statistical estimates of cluster location so that the overall setting of the paper is novel. General observations on the quality of validation indices and on t…

Fuzzy clusteringlcsh:T55.4-60.8Computer scienceSingle-linkage clusteringCorrelation clustering02 engineering and technologycomputer.software_genrelcsh:QA75.5-76.95Theoretical Computer Scienceprototype-based clusteringCURE data clustering algorithm020204 information systemsprototype-based clustering; clustering validation index; robust statisticsConsensus clusteringalgoritmit0202 electrical engineering electronic engineering information engineeringlcsh:Industrial engineering. Management engineeringCluster analysisk-medians clusteringta113Numerical Analysisbusiness.industryPattern recognitionDetermining the number of clusters in a data setComputational MathematicsComputingMethodologies_PATTERNRECOGNITIONComputational Theory and Mathematicsrobust statistics020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceArtificial intelligenceData miningtiedonlouhintabusinessclustering validation indexcomputerAlgorithms
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Steady State Performance of Spark Ignition Engine with Exhaust Energy Recovery

2020

As is known, internal combustion engines based on Otto or Diesel cycles cannot complete the expansion process of the gas inside the cylinder, thus losing a relevant energy content, in the order of 30% of total. The residual energy of the unexpanded gas has been partially exploited through the use of an exhaust gas turbine for turbocharging the internal combustion engine; further attempts have been made with several compound solutions, with an electric generator connected to the turbocharger allowing to convert into electrical energy the quota power produced by the turbine which is not used by the compressor, or with a second turbine downstream the first to increase the exhaust gas energy re…

Gas turbinesEnergy recoverySettore ING-IND/08 - Macchine A FluidoSteady state (electronics)Materials scienceEngine efficiencyspark ignition engineSpark-ignition engineNuclear engineeringhybrid vehicleexhaust energy recoveryInternal combustion engineThermal expansionSAE Technical Paper Series
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