Search results for " Mach"

showing 10 items of 1388 documents

An oxygen monitoring and control system inside a malaxation machine to improve extra virgin olive oil quality

2013

In recent years, oxygen content regulation during malaxation has been noted as a process parameter. The aim of this study was to identify the optimal time during the malaxation process of the olives of the Sicilian cultivar Nocellara del Belice when the presence of oxygen in the machine headspace activates the enzyme complex in favour of the volatile compounds, without compromising the phenolic composition. During the malaxation process, the atmosphere inside the malaxation machine was modified by blowing pure oxygen from cylinders at specific stages of the process (i.e., 5, 15, 25, and 35 min after the start of malaxation), using a system that allows the automatic and continuous maintenanc…

Enzyme complexOlive oil qualityChromatographyChemistrySoil Sciencechemistry.chemical_elementProcess variableTime optimalPulp and paper industryOxygenOxygen monitoringControl and Systems EngineeringAgronomy and Crop ScienceOxygen contentMalaxationoxygen monitoring malaxation machine extra virgin olive oil qualityFood Science
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Applications of alignment-free methods in epigenomics

2013

Epigenetic mechanisms play an important role in the regulation of cell type-specific gene activities, yet how epigenetic patterns are established and maintained remains poorly understood. Recent studies have supported a role of DNA sequences in recruitment of epigenetic regulators. Alignment-free methods have been applied to identify distinct sequence features that are associated with epigenetic patterns and to predict epigenomic profiles. Here, we review recent advances in such applications, including the methods to map DNA sequence to feature space, sequence comparison and prediction models. Computational studies using these methods have provided important insights into the epigenetic reg…

EpigenomicsSupport Vector MachineDNA sequenceSequence alignmentComputational biologyBiologyDNA sequencingEpigenesis GeneticArtificial IntelligenceSequence comparisonHumansNucleosomeEpigeneticsMolecular BiologyGeneEpigenomicsSequence (medicine)GeneticsModels GeneticSettore INF/01 - InformaticanucleosomeChromosome MappingComputational BiologySequence Analysis DNAmachine learningPapersSequence Alignmentepigeneticalignment-free methodInformation SystemsBriefings in Bioinformatics
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ESTIMATION OF THE INDUCTION MOTOR PARAMETERS

1995

ABSTRACT The paper presents the method of determining the parameters of induction machine models in an objective, algorythmic way employing the modified stepwise-regression method. The elaborated method is versatile. It enables to calculate parameters on the basis of the static characteristic or dynamic runs. The effectiveness of the described method is demonstrated in the paper by the examples of estimation of these parameters, which confirm the convergent of proposed method.

EstimationInduction machineBasis (linear algebra)Computer scienceElectrical and Electronic EngineeringAlgorithmInduction motorElectric Machines & Power Systems
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Une quête d'exactitude : machines, algèbre et géométrie pour la construction traditionnelle des équations différentielles

2015

In La Géométrie, Descartes proposed a “balance” between geometric constructions and symbolic manipulation with the introduction of suitable ideal machines. In particular, Cartesian tools were polynomial algebra (analysis) and a class of diagrammatic constructions (synthesis). This setting provided a classification of curves, according to which only the algebraic ones were considered “purely geometrical.” This limit was overcome with a general method by Newton and Leibniz introducing the infinity in the analytical part, whereas the synthetic perspective gradually lost importance with respect to the analytical one—geometry became a mean of visualization, no longer of construction. Descartes’s…

Exactness problemGeometrical constructionsMouvement tractionnelTraditional motionConstructions géométriquesDescartes[SHS.PHIL]Humanities and Social Sciences/Philosophyexactness problem tractional motion differential algebra Descartes' geometry. differential equationsDifferential algebraIdeal machinesArtefacts in math educationFoundations of calculus
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Experimental validation of a distribution theory based analysis of the effect of manufacturing tolerances on permanent magnet synchronous machines

2017

An experimental study on the effect of permanent magnet tolerances on the performances of a Tubular Linear Ferrite Motor is presented in this paper. The performances that have been investigated are: cogging force, end effect cogging force and generated thrust. It is demonstrated that: 1) the statistical variability of the magnets introduces harmonics in the spectrum of the cogging force; 2) the value of the end effect cogging force is directly linked to the values of then remanence field of the external magnets placed on the slider; 3) the generated thrust and its statistical distribution depend on the remanence field of the magnets placed on the translator.

Experimental validationMaterials scienceStatistical distributionPermanent magnetsGeneral Physics and AstronomyMechanical engineeringThrust02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciDistribution theoryEnd effect01 natural sciencesTheory basedSlider0103 physical sciencesCogging force010302 applied physicsManufacturing toleranceSettore ING-IND/11 - Fisica Tecnica AmbientalePermanent magnet synchronous machineExperimental validation021001 nanoscience & nanotechnologyStatistical variabilitylcsh:QC1-999Quantitative Biology::Quantitative MethodsRemanenceMagnetHarmonicsFerrite (magnet)0210 nano-technologylcsh:PhysicsAIP Advances
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Countering Adversarial Inference Evasion Attacks Towards ML-Based Smart Lock in Cyber-Physical System Context

2021

Machine Learning (ML) has been taking significant evolutionary steps and provided sophisticated means in developing novel and smart, up-to-date applications. However, the development has also brought new types of hazards into the daylight that can have even destructive consequences required to be addressed. Evasion attacks are among the most utilized attacks that can be generated in adversarial settings during the system operation. In assumption, ML environment is benign, but in reality, perpetrators may exploit vulnerabilities to conduct these gradient-free or gradient-based malicious adversarial inference attacks towards cyber-physical systems (CPS), such as smart buildings. Evasion attac…

ExploitComputer sciencebusiness.industryCyber-physical systemevasion attacksEvasion (network security)Context (language use)Adversarial machine learningComputer securitycomputer.software_genreadversarial machine learningdefensive mechanismscyber-physical systemAdversarial systemSmart lockkoneoppiminenälytekniikkabusinesskyberturvallisuuscomputerverkkohyökkäyksetBuilding automation
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Hydraulic power and control system

2020

Abstract In recent years, there has been worldwide interest in the improvement of the mobility of people with lower-limb amputation. Despite significant developments in new technologies during the last decade, commercial below-knee and above-knee prostheses are still energetically passive devices. However, many locomotive functions, like walking up stairs and slopes, need significant power in the knee and ankle joints. The additional power for doing previously mentioned activities needs to be achieved by means of external energy sources, which should be integral prosthetic components. In this chapter the design and development of the hydraulic power and control system are described.

External energyStairsComputer scienceEmerging technologiesControl systemHydraulic machineryhuman activitiesAutomotive engineeringPower (physics)
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HEALTH MONITORING, FAULT DETECTION AND DIAGNOSIS IN INDUSTRIAL ROTATING MACHINERY BY ADVANCED VIBRATION ANALYSIS

FAULT DETECTION ROTATING MACHINERY VIBRATION ANALYSISSettore ING-IND/13 - Meccanica Applicata Alle Macchine
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Greenfield FDI attractiveness index: a machine learning approach

2022

Purpose This study aims to propose a comprehensive greenfield foreign direct investment (FDI) attractiveness index using exploratory factor analysis and automated machine learning (AML). We offer offer a robust empirical measurement of location-choice factors identified in the FDI literature through a novel method and provide a tool for assessing the countries' investment potential. Design/methodology/approach Based on five conceptual key sub-domains of FDI, We collected quantitative indicators in several databases with annual data ranging from 2006 to 2019. This study first run a factor analysis to identify the most important features. It then uses AML to assess the relative importance of…

FDI determinantsArtificial intelligenceAutomated machine learningFDI indexSettore SECS-P/11 - ECONOMIA DEGLI INTERMEDIARI FINANZIARIForeign direct investment Artificial intelligence FDI determinants Attractiveness factors Automated machine learning FDI indexVDP::Samfunnsvitenskap: 200Business and International ManagementGeneral Business Management and AccountingForeign direct investmentVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Attractiveness factors
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Prediction of Tool Wear in Machining

2007

FEM analysis; Tool Wear; Machining operationsMachining operationsFEM analysisTool Wear
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