Search results for "COMPONENT"

showing 10 items of 1682 documents

A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study

2022

[EN] The deployment of sensors is the first issue encountered when microclimate monitoring is planned in spaces devoted to the conservation of artworks. Sometimes, the first decision regarding the position of sensors may not be suitable for characterising the microclimate close to climate sensitive artworks or should be revised in light of new circumstances. This paper fits into this context by proposing a rational approach for a posteriori deployment of microclimate sensors in museums where long-term temperature and relative humidity observations were available (here, the Rosenborg Castle, Copenhagen, Denmark). Different statistical tools such as box-and-whisker plots, principal component …

principal component analysisMuseumsClimatemuseumESTADISTICA E INVESTIGACION OPERATIVAtemperatureHumidityUNESCO::CIENCIAS ECONÓMICASmultivariate approachsensorsrelative humidityBiochemistryAtomic and Molecular Physics and OpticsAnalytical Chemistrymuseum; microclimate; multivariate approach; principal component analysis; cluster analysis; sensors; deployment; temperature; relative humiditycluster analysis; deployment; microclimate; multivariate approach; museum; principal component analysis; relative humidity; sensors; temperature; Climate; Humidity; Temperature; Microclimate; MuseumsFISICA APLICADAdeploymentElectrical and Electronic EngineeringInstrumentationmicroclimatecluster analysisSensors; Volume 22; Issue 12; Pages: 4547
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UInDeSI4.0 : An efficient Unsupervised Intrusion Detection System for network traffic flow in Industry 4.0 ecosystem

2023

In an Industry 4.0 ecosystem, all the essential components are digitally interconnected, and automation is integrated for higher productivity. However, it invites the risk of increasing cyber-attacks amid the current cyber explosion. The identification and monitoring of these malicious cyber-attacks and intrusions need efficient threat intelligence techniques or intrusion detection systems (IDSs). Reducing the false positive rate in detecting cyber threats is an important step for a safer and reliable environment in any industrial ecosystem. Available approaches for intrusion detection often suffer from high computational costs due to large number of feature instances. Therefore, this paper…

principal component analysisintrusion detectionisolation forestälytekniikkaICAvalvontajärjestelmätindustry 4.0kyberturvallisuustuotantotekniikkaverkkohyökkäyksetrandom forest
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Closed tank pneumatic press application to improve Sauvignon Blanc wine quality and nutraceutical properties

2019

The machines used in the winemaking process directly affect the quality of wine and its nutraceutical properties. Grapes-pressing is a very important step in winemaking as it may promote the presence and/or absence of enzymatic processes on the must, leading to the creation of different products in terms of chemical composition, starting from the same grapes. The aim of the study was to compare two different pressing systems of Sauvignon Blanc grapes using an innovative pneumatic discontinuous closed tank press in two operating modes: the traditional pressing mode in presence of oxygen and the inert pressing mode, performed through grapes pressing under inert gas with nitrogen recovery. Che…

principal component analysismedia_common.quotation_subjectBioengineering030204 cardiovascular system & hematologyIndustrial and Manufacturing Engineering040501 horticulturelcsh:Agriculture03 medical and health sciences0302 clinical medicineNutraceuticalwinemaking.Quality (business)lcsh:Agriculture (General)Inert gasBrowning reactionWinemakingmedia_commoninert atmosphere low-oxygen must pressing principal component analysis winemakingPressingWineInertMechanical Engineeringlcsh:SSettore AGR/09 - Meccanica AgrariaInert pressingmust and wine04 agricultural and veterinary sciencesPulp and paper industrylcsh:S1-972Environmental science0405 other agricultural sciencesJournal of Agricultural Engineering
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Componentes cognitivos y afectivos en la configuración de la personalidad moral de los adolescentes

2013

La presente tesis doctoral se ha diseñado con el objetivo de analizar cómo se comportan determinados aspectos cognitivos y afectivos en el desarrollo moral y en la configuración de la personalidad moral de los adolescentes. En relación a los aspectos cognitivos se centra la investigación en la preferencia y jerarquización de los valores humanos, y en el pensamiento prosocial. Los procesos empáticos, desde su vertiente afectiva, han sido analizados como expresión del componente afectivo de la personalidad moral de los adolescentes. En definitiva se estableció como cuestión a investigar: ¿Qué papel juegan en el desarrollo moral y en la configuración de la personalidad moral de los adolescente…

psicologíapsicología del adolescentepersonalidad moral:PSICOLOGÍA [UNESCO]UNESCO::PSICOLOGÍAcomponentes afectivos
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Steroidal derivatives of nitrogen containing compounds as potential gelators

2013

pyridinestigmasterolsupramolecular gelin situsubcomponentcholesterolself-assemblymetallogeliminestimuli-responsiveamino acid
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Jet fragmentation transverse momentum distributions in pp and p-Pb collisions at √s, √sNN = 5.02 TeV

2021

Jet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and Pythia 8 based models describe the data well for the higher jT region, while they underestimate the low…

related to the perturbative component of the fragmentation processthe measured trends are successfully described by all models except for Herwig. For the wide componentHerwig and PYTHIA 8 based models slightly underestimate the data for the higher jet transverse momentum region. These measurements set constraints on models of jet fragmentation and hadronisation.Nuclear and High Energy Physicswhile that of the inverse gamma function increases with increasing jet transverse momentum. For the narrow componentHeavy Ion Experimentsand with a Gaussian for lower jT values (called the “narrow component”)hiukkasfysiikkawhile they underestimate the lower jT region. The jT distributions are further characterised by fitting them with a function composed of an inverse gamma function for higher jT values (called the “wide component”)predominantly connected to the hadronisation process. The width of the Gaussian has only a weak dependence on jet transverse momentumJet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and PYTHIA 8 based models describe the data well for the higher jT region
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Fault diagnosis of induction motors broken rotor bars by pattern recognition based on noise cancelation

2014

Current signal monitoring (CSM) can be used as an effective tool for diagnosing broken rotor bars fault in induction motors. In this paper, fault diagnosis and classification based on artificial neural networks (ANNs) is done in two stages. In the first stage, a filter is designed to remove irrelevant fault components (such as noise) of current signals. The coefficients of the filter are obtained by least square (LS) algorithm. Then by extracting suitable time domain features from filter's output, a neural network is trained for fault classification. The output vector of this network is represented in one of four categories that includes healthy mode, a 5 mm crack on a bar, one broken bar, …

removing irrelevant fault componentsEngineeringArtificial neural networkneural networkRotor (electric)Bar (music)business.industryComputer Science::Neural and Evolutionary ComputationFilter (signal processing)Fault (power engineering)law.inventionNoisefault diagnosis and classificationControl and Systems Engineeringlawfault diagnosis and classification; neural network; removing irrelevant fault components; Stator current signal monitoring; Electrical and Electronic Engineering; Control and Systems EngineeringElectronic engineeringTime domainElectrical and Electronic EngineeringStator current signal monitoringbusinessAlgorithmInduction motor2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)
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Determination of Changes in the Quality of Surface Water in the River—Reservoir System

2021

Assessing the changing parameters of water quality at different points in the river–reservoir system can help prevent river pollution and implement remedial policies. It is also crucial in modeling water resources. Multivariate statistical analysis is useful for the analysis of changes in surface water quality. It helps to identify indicators that may be responsible for the eutrophication process of a reservoir. Additionally, the analysis of the water quality profile and the water quality index (WQI) is useful in assessing water pollution. These tools can support and verify the results of a multivariate statistical analysis. In this study, changes in water quality parameters of the Turawa r…

reservoirRDAriver0208 environmental biotechnologyGeography Planning and Developmentlcsh:TJ807-830lcsh:Renewable energy sourceschemistry.chemical_elementSoil science02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and Law01 natural scienceswater qualitywater quality; reservoir; river; eutrophication; RDA; PCA; WQI; water quality profileWater pollutionlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350PCARenewable Energy Sustainability and the EnvironmentPhosphoruslcsh:Environmental effects of industries and plantsNitrogen020801 environmental engineeringWater resourceseutrophicationlcsh:TD194-195chemistryPrincipal component analysisEnvironmental scienceWater qualityEutrophicationSurface waterSustainability
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Component search in a metaCASE environment

2001

retrieval modelsearch representationCASE toolscomponentcomponent-based developmentinformation retrievalmetaCASE toolssoftware componentreuse
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Drawing techniques as tools for the evaluation of scholastic integration and emotional components in primary and secondary school : a cross-sectional…

2023

IntroductionIn the last decades, many studies have emphasized emotion’s role in psycho-educational processes during childhood, such as scholastic integration. Emotional variables in childhood can be assessed through projective graphic techniques, as they allow children to use kinetic components of the draws to communicate emotions.Method1.757 couple of draws were collected, from primary school children (N = 1.270; F = 643 [50.6%]; Age = 8.6; SD = 1.31) and secondary school children (N = 487; F = 220 [45.2%]; Age = 11.72; SD = 0.70) and from eight schools in Sicily and over 60 different classrooms. The Drawn Stories Technique and the Classroom Draw were used to assess children’s current emot…

scholastic integration projective graphic techniques drawn stories technique classroom draw emotional-affective components primary school secondary schoolGeneral Psychology
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