Search results for "Control and Systems Engineering"

showing 10 items of 994 documents

SW—Soil and Water

2002

Abstract Recent research has directed attention to the size distribution of eroded material because of its influence on deposition mechanics and in carrying capacity of pollutant materials. At first, in this paper the relationship between aggregate breakdown mechanism and erosion processes is briefly reviewed. Then the link between the clay enrichment ratio and the sediment delivery ratio at morphological unit scale is investigated. For 129 soil samples well distributed over the Sicilian Sparacia basin, the values for the experimental clay enrichment ratio calculated by the measured ultimate grain-size distributions are compared with the theoretical clay enrichment ratio values obtained by …

Aggregate (composite)Soil testDistributed element modelSoil ScienceMineralogySedimentSedimentationDeposition (geology)Control and Systems EngineeringParticle-size distributionErosionAgronomy and Crop ScienceGeologyFood ScienceBiosystems Engineering
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Finite-Size and Illumination Conditions Effects in All-Dielectric Metasurfaces

2022

Dielectric metasurfaces have emerged as a promising alternative to their plasmonic counterparts due to lower ohmic losses, which hinder sensing applications and nonlinear frequency conversion, and their larger flexibility to shape the emission pattern in the visible regime. To date, the computational cost of full-wave numerical simulations has forced the exploitation of the Floquet theorem, which implies infinitely periodic structures, in designing such devices. In this work, we show the potential pitfalls of this approach when considering finite-size metasurfaces and beam-like illumination conditions, in contrast to the typical infinite plane-wave illumination compatible with the Floquet t…

All-dielectric metasurfaces BIC Multipolar decomposition T-matrixComputer Networks and CommunicationsHardware and ArchitectureControl and Systems Engineeringall-dielectric metasurfaces; multipolar decomposition; T-matrix; BICSignal ProcessingPhysics::OpticsSettore ING-INF/02 - Campi ElettromagneticiElectrical and Electronic EngineeringElectronics
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Life Cycle Assessment of aluminum alloys chips recycling through single and multi-step Friction Stir Consolidation processes

2023

Manufacturing scientists have to find new processes enabling energy and resource efficient circular economy strategies. Solid state recycling processes have proved to be environmentally friendly alternatives to recycle aluminum alloys process scraps like chips. In this paper the environmental characterization of a solid state recycling process named Friction Stir Consolidation (FSC) is presented. A full Life Cycle Assessment (LCA) comparative analysis is developed: the environmental performance of new and different variants of FSC processes and remelting based routes are quantified and compared to one another. Also, different scenarios are analysed to provide guidelines for the correct impl…

Aluminum alloyHardware and ArchitectureControl and Systems EngineeringLCARecyclingFriction Stir ConsolidationSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneIndustrial and Manufacturing EngineeringSoftware
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Affinity Sensors for the Diagnosis of COVID-19

2021

The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was proclaimed a global pandemic in March 2020. Reducing the dissemination rate, in particular by tracking the infected people and their contacts, is the main instrument against infection spreading. Therefore, the creation and implementation of fast, reliable and responsive methods suitable for the diagnosis of COVID-19 are required. These needs can be fulfilled using affinity sensors, which differ in applied detection methods and markers that are generating analytical signals. Recently, nucleic acid hybridization, antigen-antibody interaction, and change of reactive oxyge…

AnalyteCoronavirus disease 2019 (COVID-19)Computer scienceimmune complexSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)lcsh:Mechanical engineering and machinerySARS-CoV-2 virus02 engineering and technologyReviewelectrochemical immunosensors03 medical and health sciencesCOVID-19 ; SARS-CoV-2 virus ; RNA analysis ; bioelectrochemistry ; biosensors ; electro- chemical immunosensors ; antigen-antibody interaction ; immune complex ; molecularly imprinted polymers (MIPs) ; surface modification by immobilization of biomoleculesElectrochemical biosensorDetection theorylcsh:TJ1-1570Electrical and Electronic EngineeringSurface plasmon resonance030304 developmental biologysurface modification by immobilization of biomolecule0303 health sciencesMechanical EngineeringbioelectrochemistryCOVID-19surface modification by immobilization of biomoleculesRNA analysis021001 nanoscience & nanotechnologybiosensorsAntigen-antibody interactionControl and Systems Engineeringmolecularly imprinted polymers (MIPs)antigen-antibody interaction0210 nano-technologyBiological systemBiosensorMicromachines
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Generalized power-angle control for grid-forming converters: A structural analysis

2022

Several control schemes have been recently proposed and studied as grid-forming controls for power converters. In all these schemes, the power-angle control loop is the part which defines the fundamental capabilities of the grid-forming control: that control loop governs in fact the inherent synchronization mechanism of the power converter, the power sharing with the other generation sources in the system and the oscillatory characteristics of the converter-based resource. This article introduces a general formulation for the power-angle control characterizing the grid-forming concept for power converters. The generalized power-angle control is based on a polynomial fraction formulation, an…

Angle control Damping Frequency control Grid-forming Inertia Power converters Power sharing Power-synchronization control Virtual synchronous machineSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaRenewable Energy Sustainability and the EnvironmentControl and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
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Non-linear oscillators under parametric and external poisson pulses

1994

The extended Ito calculus for non-normal excitations is applied in order to study the response behaviour of some non-linear oscillators subjected to Poisson pulses. The results obtained show that the non-normality of the input can strongly affect the response, so that, in general, it can not be neglected.

Applied MathematicsMechanical EngineeringMathematical analysisAerospace EngineeringOcean EngineeringPoisson distributionItō calculusNonlinear systemsymbols.namesakeControl and Systems EngineeringControl theorysymbolsElectrical and Electronic EngineeringComputer Science::DatabasesParametric statisticsMathematicsNonlinear Dynamics
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A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
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Argumentative reasoning and taxonomic analysis for the identification of medical errors

2015

Telemedicine consists of the use of information and communication technologies (ICTs) in the practice of medicine. The massive digitalisation of the society is changing the behaviour of ordinary people even in medical sectors. The impact of digitisation is also having impacts on teleexpertise, where a medical professional can remotely ask some advices through the use of ICTs to provide treatment to a patient in critical conditions in remote environment. However, sometimes the outcome of such advice obtained remotely can lead to medical errors. In these situations, it is important to determine whether the causes of the errors could have been avoidable or not for the purposes of establishing …

Argumentative[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationKnowledge managementComputer scienceMedical procedureMédecine humaine et pathologieArgumentation frameworkArgumentation theoryArtificial Intelligence[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyArgumentationMedical errorsElectrical and Electronic EngineeringLegal procedureTaxonomybusiness.industryModélisation et simulation16. Peace & justice[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationGroup decision-makingIdentification (information)Control and Systems EngineeringInformation and Communications TechnologyKnowledge tracingTeleexpertisebusiness[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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A New Correlation Coefficient for T-Spherical Fuzzy Sets and Its Application in Multicriteria Decision-Making and Pattern Recognition

2022

The goal of this paper is to design a new correlation coefficient for T -spherical fuzzy sets (TSFSs), which can accurately measure the nature of correlation (i.e., positive and negative) as well as the degree of relationship between TSFS. In order to formulate our proposed idea, we had taken inspiration from the statistical concept of the correlation coefficient. While doing so, we firstly introduce the variance and covariance of two TSFS and then constructed our scheme using these two newly defined notions. The numerical value of our proposed correlation coefficient lies within the interval − 1 , + 1 , as it should be from a statistical point of view, whereas the existing methods cannot m…

Article SubjectControl and Systems EngineeringElectrical and Electronic EngineeringVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420InstrumentationJournal of Sensors
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A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream

2022

In medical filed, predicting the occurrence of heart diseases is a significant piece of work. Millions of healthcare-related complexities that have remained unsolved up until now can be greatly simplified with the help of machine learning. The proposed study is concerned with the cardiac disease diagnosis decision support system. An OpenML repository data stream with 1 million instances of heart disease and 14 features is used for this study. After applying to preprocess and feature engineering techniques, machine learning approaches like random forest, decision trees, gradient boosted trees, linear support vector classifier, logistic regression, one-vs-rest, and multilayer perceptron are u…

Article SubjectControl and Systems EngineeringElectrical and Electronic EngineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550InstrumentationJournal of Sensors
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