Search results for "Batch processing"

showing 10 items of 13 documents

FAME: Software for analysing rock microstructures

2016

Determination of rock microstructures leads to a better understanding of the formation and deformation of polycrystalline solids. Here, we present FAME (Fabric Analyser based Microstructure Evaluation), an easy-to-use MATLAB®-based software for processing datasets recorded by an automated fabric analyser microscope. FAME is provided as a MATLAB®-independent Windows® executable with an intuitive graphical user interface. Raw data from the fabric analyser microscope can be automatically loaded, filtered and cropped before analysis. Accurate and efficient rock microstructure analysis is based on an advanced user-controlled grain labelling algorithm. The preview and testing environments simplif…

010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryOrientation (computer vision)AnalyserComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.file_format010502 geochemistry & geophysics01 natural sciencesVisualizationSoftwareComputer graphics (images)Batch processingExecutableComputers in Earth SciencesbusinesscomputerSimulation0105 earth and related environmental sciencesInformation SystemsRock microstructureGraphical user interfaceComputers & Geosciences
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A new flow cell design for chemiluminiscence analysis.

2001

The present study proposes a new flow cell called a bundle cell for chemiluminescence analysis. The results obtained were compared with those achieved by manual and automated batch procedures and flow manifolds with different cells: an common quartz flow cell, a helix cell and the most used spiral cell. Figures of merit such as limit of detection, sensitivity, accuracy and precision for the Cr(III) determination were established with light emission produced by catalysed Cr(III) luminol oxidation by hydrogen peroxide in a basic aqueous solution. An improvement in sensitivity about 50% as compared with the spiral cell and even larger with respect to the other flow cells tested was observed. T…

Detection limitAccuracy and precisionAqueous solutionChemistryAnalytical chemistryMineralogyAnalytical ChemistryLuminollaw.inventionchemistry.chemical_compoundFlow (mathematics)lawBatch processingLight emissionChemiluminescenceTalanta
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Batch Methods for Resolution Enhancement of TIR Image Sequences

2015

Thermal infrared (TIR) time series are exploited by many methods based on Earth observation (EO), for such applications as agriculture, forest management, and meteorology. However, due to physical limitations, data acquired by a single sensor are often unsatisfactory in terms of spatial or temporal resolution. This issue can be tackled by using remotely sensed data acquired by multiple sensors with complementary features. When nonreal-time functioning or at least near real-time functioning is admitted, the measurements can be profitably fed to a sequential Bayesian algorithm, which allows to account for the correlation embedded in the successive acquisitions. In this work, we focus on appli…

Earth observationAtmospheric ScienceBayesian smoothing methodComputer scienceBayesian probabilityInterval (mathematics)Thermal imagecomputer.software_genreremote sensingComputers in Earth ScienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionimage enhancementComputers in Earth SciencesImage resolutionThermal imagesbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian smoothing methodsinterpolationTemporal resolutioncloud detectionBatch processingBayesian smoothing methods; cloud detection; image enhancement; interpolation; remote sensing; Thermal images; Computers in Earth Sciences; Atmospheric ScienceData miningArtificial intelligencebusinessFocus (optics)computerSmoothingSettore ICAR/06 - Topografia E Cartografia
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BIOALGA reactor: preliminary studies for heavy metals removal

2002

Abstract Microalgae have a high affinity for polyvalent metals, for that reason they could be used to reduce the concentration of heavy metals present in water and wastewater. In the present work an evaluation of a rotary biofilm reactor for algae immobilization (BIOALGA) with the subject of heavy metal removal was investigated. The BIOALGA reactor consisted of a pilot scale model that was operated with synthetic wastewater with an initial concentration of 3000 μg/l of cobalt ion. Scenedesmus obliquus was immobilized in the reactor, which was operated in batch mode for a period of 20 days. The rotary velocity used, 2 rpm, was constant during the experiment. A maximum removal of cobalt ion o…

Environmental EngineeringChromatographyPeriod (periodic table)ChemistryInorganic chemistryBiomedical EngineeringBioengineeringHeavy metalsMetalWastewaterScenedesmus obliquusvisual_artBatch processingvisual_art.visual_art_mediumCobalt ionsKinetic constantBiotechnologyBiochemical Engineering Journal
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Improving checkpointing intervals by considering individual job failure probabilities

2021

Checkpointing is a popular resilience method in HPC and its efficiency highly depends on the choice of the checkpoint interval. Standard analytical approaches optimize intervals for big, long-running jobs that fail with high probability, while they are unable to minimize checkpointing overheads for jobs with a low or medium probability of failing. Nevertheless, our analysis of batch traces of four HPC systems shows that these jobs are extremely common.We therefore propose an iterative checkpointing algorithm to compute efficient intervals for jobs with a medium risk of failure. The method also supports big and long-running jobs by converging to the results of various traditional methods for…

High probabilitySystems simulationComputer scienceBatch processingInterval (mathematics)Medium RiskResilience (network)Reliability engineering2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Effects and Benefits of Node Sharing Strategies in HPC Batch Systems

2019

Processor manufacturers today scale performance by increasing the number of cores on each CPU. Unfortunately, not all HPC applications can efficiently saturate all cores of a single node, even if they successfully scale to thousands of nodes. For these applications, sharing nodes with other applications can help to stress different resources on the nodes to more efficiently use them. Previous work has shown that the performance impact of node sharing is very application dependent but very little work has studied its effects within batch systems and for complex parallel application mixes. Administrators therefore typically fear the complexity of running a batch system supporting node sharing…

Job scheduler020203 distributed computingSingle nodeComputer scienceDistributed computing0202 electrical engineering electronic engineering information engineeringBatch processing020201 artificial intelligence & image processingWorkload02 engineering and technologycomputer.software_genrecomputerScheduling (computing)2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Multivariate SPC of a sequencing batch reactor for wastewater treatment

2007

Data from a sequencing batch reactor (SBR) operated for enhanced biological phosphorus removal from wastewater have been analysed in order to propose an efficient MSPC scheme of the process. Different multivariate bilinear approaches have been applied and compared in terms of their capabilities for on-line and off-line fault detection and diagnosis. The typical three-way data structure from a batch process was unfolded batch-wise and variable-wise. In the latter case, two models were built: with (AT) and without (WKFH) removing the main non-linear behaviour of the process data. Since the process consists of several stages, the monitoring strategies tested include: one model for all stages a…

Multivariate statisticsComputer sciencebusiness.industryProcess Chemistry and TechnologyProcess (computing)Bilinear interpolationSequencing batch reactorCovarianceData structureFault detection and isolationComputer Science ApplicationsAnalytical ChemistryBatch processingProcess engineeringbusinessSpectroscopySoftwareChemometrics and Intelligent Laboratory Systems
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Sorption of copper by a highly mineralized peat in batch and packed-bed systems

2009

BACKGROUND: The performance of peat for copper sorption was investigated in batch and fixed-bed experiments. The effect of pH was evaluated in batch experiments and the experimental data were fitted to an equilibrium model including pH dependence. Hydrodynamic axial dispersion was estimated by tracing experiments using LiCl as a tracer. Six fixed-bed experiments were carried out at copper concentrations between 1 and 60 mg dm−3 and the adsorption isotherm in dynamic mode was obtained. A mass transport model including convection–dispersion and sorption processes was applied for breakthrough curve modelling. RESULTS: Maximum uptake capacities in batch mode were 22.0, 36.4, and 43.7 mg g−1 for…

Packed bedSorbentChromatographyRenewable Energy Sustainability and the EnvironmentChemistryGeneral Chemical EngineeringOrganic ChemistryAnalytical chemistrychemistry.chemical_elementSorptionPollutionCopperInorganic ChemistryFuel TechnologyMass transferTRACERBatch processingDispersion (chemistry)Waste Management and DisposalBiotechnologyJournal of Chemical Technology & Biotechnology
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A Parallel Implementation of the Tree-Structured Self-Organizing Map

2002

This paper presents how Self-Organizing Maps (SOMs)can be trained efficiently using several, simultaneously executing threads on a shared memory Symmetric MultiProcessing (SMP)computer. The training method is a batch version of the Tree-Structured Self-Organizing Map. We note that SMP type of parallel training is very useful for large data sets obtained from nature, the process industry or large document collections, since we do not encounter similar model size limitations as with hardware SOM implementations.

Self-organizing mapTree (data structure)Theoretical computer scienceShared memoryComputer scienceSymmetric multiprocessingMessage Passing InterfaceBatch processingMultiprocessingParallel computingThread (computing)Implementation
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On the simulation of stirred tank reactors via computational fluid dynamics

2000

Abstract Predictions of flow fields in a stirred tank reactor, obtained by computational fluid dynamics, were used for the simulation of a mixing sensitive process consisting of two parallel reactions competing for a common reagent: A + B → Prod .1 A + C → Prod .2. Experimental data were obtained for A = OH − , B = 1 2 Cu ++ and C=ethyl-chloroacetate. For this reaction scheme the final selectivity of the process, easily measured by a simple colorimetric analysis of the residual Cu++, was found to depend on agitation speed and therefore on the mixing history during the batch process. The flow field-based three-dimensional simulations performed here led to predictions that compared very well …

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciSettore ING-IND/25 - Impianti ChimiciGeneral Chemical EngineeringFlow (psychology)Mixing (process engineering)ThermodynamicsContinuous stirred-tank reactorMineralogyComputational fluid dynamicsturbulence modelIndustrial and Manufacturing EngineeringmixingSettore ING-IND/19 - Impianti Nucleariscalar transportSettore ING-IND/24 - Principi Di Ingegneria ChimicaComputer simulationChemistrybusiness.industryApplied MathematicsStirred tank reactorGeneral ChemistryMicromixingReagentBatch processingCFDbusiness
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