Search results for " mac"

showing 10 items of 3066 documents

Design criteria of tubular linear induction motors and generators: A prototype realization and its characterization

2013

In this paper a mathematical model of tubular linear induction machines (TLIM) with hollowed induced part is recalled. Moreover the design criteria of a TLIM with hollowed iron induced part are presented as well as the technological processes to be adopted and the choice of materials to construct the various parts. The methodologies for mechanical assembling and electric wiring are considered too. A prototype with bimetallic induced part has been designed and built. Finally some experimental results on electrical and mechanical variables, when the machines are used as motors, are shown.

Linear machinesMathematical modelTubular induction motorsTubular induction generatorsCylindrical coordinateLaminationTubular induction generatorLamination.lcsh:Electronic computers. Computer scienceCylindrical coordinatesSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilcsh:QA75.5-76.95Linear machine
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A novel approach for parameters determination in four lumped PV parametric model with operative range evaluations

2013

The paper presents a novel numerical approach for the parameters determination of crystalline silicon PV models four lumped parameters equivalent circuit. The novel approach basically deals with a new method, alternative to the iterative one known in literature, to calculate the series resistance. Particularly, it allows the evaluation of the lumped parameters on the basis of the manufacturer’s datasheet. The new approach has been validated both in the Maximum Power Point (MPP) and close to it by comparing values and curves obtained by means of the model implementation in Matlab/Simulink environment with those related to some five parameters models and manufacturer curves. Results show that…

Settore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricifive lumped parameters model four lumped parameters model I-V characteristic curves Maximum Power Point silicon photovoltaic modules
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Effect of two distinct implant macro-designs on the osseointegration of bicortically installed implants in two topographic sites. A histomorphometric…

2019

Antecedentes científicos y objetivos de estudio: El uso de implantes dentales como alternativa para la rehabilitación oral ha demostrado su eficacia y mostrando altas tasas de supervivencia. Un aspecto clave de la osteointegración del implante dental está relacionado con la obtención de una estabilidad primaria adecuada, asegurada por el enclavamiento mecánico entre el tejido óseo y la interfaz del implante, la cual depende en parte de la geometría del implante, la rugosidad de la superficie y la técnica quirúrgica para la preparación del lecho implantario. Varios factores están involucrados en la interacción entre la superficie del implante y el hueso nativo circundante durante la osteoint…

submerged healingdental implantimplant macro-designbicortical stabilizationUNESCO::CIENCIAS MÉDICASosseointegration:CIENCIAS MÉDICAS [UNESCO]animal study
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Covid-19 : quel bilan critique ? (Partie II)

2021

International audience

SantéDonnéesGouvernementScienceCrise sanitaireAnalyseEmmanuel Macron[SHS.SCIPO]Humanities and Social Sciences/Political scienceGestionEconomieMinistère de la santéFranceCovid-19Politique[SHS.SCIPO] Humanities and Social Sciences/Political scienceComputingMilieux_MISCELLANEOUSConfinement
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FMEA - BASIC CONCEPT IN PRODUCT QUALITY

2018

Failure modes and effects analysis (FMEA) is a systematic procedure for analyzing a system (the entire system or just an assembly, subassembly or component) to identify potential failure modes, causes and effects of each failure on system operation. A somewhat different definition was formulated by Goddard Space Flight Center (USA) : FMEA is a procedure whereby every credible way of defeating each item from the lower decomposition level to the highest level is analyzed to determine effects on the system and classify each potential way of failure according to the severity of its effect.

lcsh:Tfailure riskslcsh:Mechanical engineering and machineryerrorsmanufacturing processlcsh:TJ1-1570lcsh:TechnologydefectsFiabilitate şi Durabilitate
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Ambainis-Freivalds’ Algorithm for Measure-Once Automata

2001

An algorithm given by Ambainis and Freivalds [1] constructs a quantum finite automaton (QFA) with O(log p) states recognizing the language Lp = {ai| i is divisible by p} with probability 1 - Ɛ , for any Ɛ > 0 and arbitrary prime p. In [4] we gave examples showing that the algorithm is applicable also to quantum automata of very limited size. However, the Ambainis-Freivalds algoritm is tailored to constructing a measure-many QFA (defined by Kondacs andWatrous [2]), which cannot be implemented on existing quantum computers. In this paper we modify the algorithm to construct a measure-once QFA of Moore and Crutchfield [3] and give examples of parameters for this automaton. We show for the lang…

CombinatoricsDiscrete mathematicsFinite-state machineQuantum finite automataSpace (mathematics)QuantumMeasure (mathematics)AlgorithmPrime (order theory)AutomatonMathematicsQuantum computer
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Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories

2004

This paper presents a comparison among several well-known machine learning techniques when they are used to carry out a one-session ahead prediction of page categories. We use records belonging to 18 different categories accessed by users on the citizen web portal Infoville XXI. Our first approach is focused on predicting the frequency of accesses (normalized to the unity) corresponding to the user’s next session. We have utilized Associative Memories (AMs), Classification and Regression Trees (CARTs), Multilayer Perceptrons (MLPs), and Support Vector Machines (SVMs). The Success Ratio (SR) averaged over all services is higher than 80% using any of these techniques. Nevertheless, given the …

Support vector machineArtificial neural networkInterface (Java)Computer sciencebusiness.industryArtificial intelligenceContent-addressable memoryMachine learningcomputer.software_genrePerceptronbusinesscomputerSession (web analytics)
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Spatial noise-aware temperature retrieval from infrared sounder data

2020

In this paper we present a combined strategy for the retrieval of atmospheric profiles from infrared sounders. The approach considers the spatial information and a noise-dependent dimensionality reduction approach. The extracted features are fed into a canonical linear regression. We compare Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF) for dimensionality reduction, and study the compactness and information content of the extracted features. Assessment of the results is done on a big dataset covering many spatial and temporal situations. PCA is widely used for these purposes but our analysis shows that one can gain significant improvements of the error rates when using…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine Learningbusiness.industryComputer scienceDimensionality reductionFeature extraction0211 other engineering and technologiesWord error ratePattern recognitionRegression analysis02 engineering and technologyMachine Learning (cs.LG)Principal component analysisLinear regression0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceElectrical Engineering and Systems Science - Signal ProcessingbusinessSpatial analysis021101 geological & geomatics engineering
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Effects of tilling methods on soil penetration resistance, organic carbon and water stable aggregates in a vineyard of semiarid Mediterranean environ…

2018

Tillage, especially in semiarid Mediterranean environment, enhances the mineralization process of soil organic matter (SOM) and, in turn, decreases aggregate stability. Furthermore, continuous tillage leads to the formation of plough pan beneath the tilled layer. In the present study, we investigated the effect of an innovative self-propelled machine (spading machine, SM) for shallow tillage on SOM, water stable aggregates (WSA) and soil penetration resistance (PR). Such effects were compared to those of chisel plough (CP), rotary tiller (RT) and no tillage (NT). Each tilling method was applied up to a depth of 15 cm, whereas in NT only a brush cutter was used for weed control. Soil analyse…

business.product_categorySettore AGR/13 - Chimica AgrariaSoil Science010501 environmental sciences01 natural sciencesVineyardPloughChisel· Spading machine&nbspEnvironmental ChemistryWater content0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyTotal organic carbonGlobal and Planetary ChangeSoil organic matter· Plough pan&nbspSettore AGR/09 - Meccanica AgrariaGeology04 agricultural and veterinary sciencesMineralization (soil science)PollutionTillageAgronomy· Water content040103 agronomy & agriculture0401 agriculture forestry and fisheriesTilling method&nbspbusiness
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Erratum: De Teresa, J.M. et al. Comparison between Focused Electron/Ion Beam-Induced Deposition at Room Temperature and under Cryogenic Conditions. M…

2020

In Section 3 [...]

n/aMaterials scienceIon beamControl and Systems Engineeringlcsh:Mechanical engineering and machineryMechanical EngineeringAnalytical chemistrylcsh:TJ1-1570ElectronElectrical and Electronic EngineeringDeposition (chemistry)Micromachines
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