Search results for "mining"

showing 10 items of 1730 documents

The Ignoble Fuel

2012

Perhaps the first historic mention of a substance derived from coal goes back to the Bible, when Yahweh orders Noah to build the famous ark.

EngineeringMining engineeringbusiness.industryThermal power stationMetallurgical cokeCoalbusinessIndustrial Revolution
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Real-time 3D imaging of Haines jumps in porous media flow.

2013

Newly developed high-speed, synchrotron-based X-ray computed microtomography enabled us to directly image pore-scale displacement events in porous rock in real time. Common approaches to modeling macroscopic fluid behavior are phenomenological, have many shortcomings, and lack consistent links to elementary pore-scale displacement processes, such as Haines jumps and snap-off. Unlike the common singular pore jump paradigm based on observations of restricted artificial capillaries, we found that Haines jumps typically cascade through 10–20 geometrically defined pores per event, accounting for 64% of the energy dissipation. Real-time imaging provided a more detailed fundamental understanding o…

EngineeringMultidisciplinarybusiness.industryMultiphase flowMechanicsDissipationcomputer.software_genrePhysics::GeophysicsHysteresisCascadePhysical SciencesJumpData miningbusinessPorous mediumDisplacement (fluid)Event (particle physics)computerProceedings of the National Academy of Sciences of the United States of America
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Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production

2009

This chapter studies and analyzes Memetic Differential Evolution (MDE) Frameworks for designing digital filters, which aim at detecting paper defects produced during an industrial process. MDE Frameworks employ the Differential Evolution (DE) as an evolutionary framework and a list of local searchers adaptively coordinated by a control scheme. Here, three different variants of MDE are taken into account and their features and performance are compared. The binomial explorative features of the DE framework in contraposition to the exploitative features of the local searcher are analyzed in detail in light of the stagnation prevention problem, typical for the DE. Much emphasis in this chapter …

EngineeringProcess (engineering)business.industryParticle swarm optimizationImage processingcomputer.software_genreFilter designDifferential evolutionMemetic algorithmData miningArtificial intelligenceAdaptation (computer science)businesscomputerContraposition (traditional logic)
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Variable Selection in Predictive MIDAS Models

2014

In short-term forecasting, it is essential to take into account all available information on the current state of the economic activity. Yet, the fact that various time series are sampled at different frequencies prevents an efficient use of available data. In this respect, the Mixed-Data Sampling (MIDAS) model has proved to outperform existing tools by combining data series of different frequencies. However, major issues remain regarding the choice of explanatory variables. The paper first addresses this point by developing MIDAS based dimension reduction techniques and by introducing two novel approaches based on either a method of penalized variable selection or Bayesian stochastic searc…

EngineeringSeries (mathematics)business.industryDimensionality reductionBayesian probabilitySampling (statistics)Feature selectioncomputer.software_genreEconomic indicatorData miningState (computer science)businesscomputerSelection (genetic algorithm)SSRN Electronic Journal
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DRIFTS Sensor: Soil Carbon Validation at Large Scale (Pantelleria, Italy)

2013

A fast and accurate measurement of soil carbon is needed in current scientific issues. Today there are many sensors suitable for these purposes, but choosing the appropriate sensor depends on the spatial scale at which the studies are conducted. There are few detailed studies that validate these types of measures allowing their immediate use. Here it is validated the quick use of a sensor in execution at Pantelleria, chosen for size, use and variability of the parameter measured, to give an operational tool for carbon stocks studies. The DRIFT sensor used here has been validated in the first 60 cm of the soil of the whole island, and it has shown predictivity higher than 90%.

EngineeringSettore AGR/05 - Assestamento Forestale E SelvicolturaSettore AGR/13 - Chimica Agrariaanthropogenic soilsPLSMediterraneancarbon; nitrogen; DRIFT; PLS; Technosols; Mediterranean; anthropogenic soilscomputer.software_genrelcsh:Chemical technologyBiochemistryArticlenitrogenAnalytical ChemistryTechnosollcsh:TP1-1185Electrical and Electronic EngineeringTechnosolsInstrumentationCarbon stockRemote sensingbusiness.industrySoil organic mattercarbonSoil carbonAtomic and Molecular Physics and Opticscarbon; nitrogen; anthropogenic soils; Technosols; PLS; DRIFTDRIFTSettore AGR/14 - PedologiaSpatial ecologyData miningScale (map)businesscomputerSensors
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The identifiability analysis for setting up measuring campaigns in integrated water quality modelling.

2012

Abstract Identifiability analysis enables the quantification of the number of model parameters that can be assessed by calibration with respect to a data set. Such a methodology is based on the appraisal of sensitivity coefficients of the model parameters by means of Monte Carlo runs. By employing the Fisher Information Matrix, the methodology enables one to gain insights with respect to the number of model parameters that can be reliably assessed. The paper presents a study where identifiability analysis is used as a tool for setting up measuring campaigns for integrated water quality modelling. Particularly, by means of the identifiability analysis, the information about the location and …

EngineeringSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryCalibration (statistics)Monte Carlo methodWater quality modellingcomputer.software_genreData setsymbols.namesakeGeophysicsGeochemistry and PetrologyData qualitysymbolsSensitivity (control systems)Identifiability analysisData miningbusinessFisher informationcomputerDevelopment of a useful tool for selecting monitoring field campaigns. ► Identificability analysis is a valuable tool for calibration of complex models. ► Upstream sub-system influences with different strength the downstream ones.
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Electronic noses: a review of signal processing techniques

1999

The field of electronic noses, electronic instruments capable of mimicking the human olfactory system, has developed rapidly in the past ten years. There are now at least 25 research groups working in this area and more than ten companies have developed commercial instruments, which are mainly employed in the food and cosmetics industries. Most of the work published to date, and commercial applications, relate to the use of well established static pattern analysis techniques, such as principal components analysis, discriminant function analysis, cluster analysis and multilayer perceptron based neural networks. The authors first review static techniques that have been applied to the steady-s…

EngineeringSignal processingArtificial neural networkElectronic nosebusiness.industrySystem identificationcomputer.software_genreField (computer science)Sensor arrayMultilayer perceptronArtificial intelligenceData miningElectrical and Electronic EngineeringbusinesscomputerLinear filterIEE Proceedings - Circuits, Devices and Systems
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Generation of a Test Reference Year (TRY): an application to the town of Palermo

2012

The improvement of the energy efficiency of buildings calls for the availability of tools for evaluating and simulating the thermal behaviour of buildings, needing as input climatic databases. These databases contain a very large amount of data, resulting in long computational time analysis. Therefore, simple aggregation methods are used, among which the test reference year (TRY). In this paper, a comparison between two statistical methodologies for compiling a TRY, the Belgian and the Sandia methods, is presented. Then, the two methods have been utilized for compiling the TRY for the town of Palermo, Italy, and compared both statistically and by means of two simple applications, obtaining …

EngineeringTest Reference Year (TRY)Settore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryGeneral Engineeringcomputer.software_genreAggregation methodsTest (assessment)Energy efficiencySimple (abstract algebra)Solar radiationData miningbusinesscomputerSimulationEfficient energy use
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Preliminary analysis of warehouse localization systems based on RFID technology

2010

In the industrial warehouse design domain, today's computerized information systems have gained a relevant interest due to the issues related to asset tracking and traceability. In such context, the employment of new information technologies on warehouse management systems has opened new business opportunities due to the sensible price reduction in the last years. This paper focuses on the technical issues related to the realization of wireless localization systems for warehouses, which are necessary for the implementation of random allocation policies, and in particular investigates the opportunities offered by RFID technology in such context. The enforcement of random allocation policies …

EngineeringTraceabilitybusiness.industryAsset trackingwarehouse localization systems; RFID technologyInformation technologyContext (language use)computer.software_genreIndustrial engineeringIndustrial and Manufacturing EngineeringManagement Information Systemswarehouse localization systems RFID technologyStock keeping unitOrder (exchange)Management of Technology and InnovationInformation systemData miningElectrical and Electronic EngineeringbusinesscomputerTrilateration
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In Search of Evidence for Model-Driven Development Claims: An Experiment on Quality, Effort, Productivity and Satisfaction

2015

Context: Model-Driven Development (MDD) is a paradigm that prescribes building conceptual models that abstractly represent the system and generating code from these models through transformation rules. The literature is rife with claims about the benefits of MDD, but they are hardly supported by evidences. Objective: This experimental investigation aims to verify some of the most cited benefits of MDD. Method: We run an experiment on a small set of classes using student subjects to compare the quality, effort, productivity and satisfaction of traditional development and MDD. The experiment participants built two web applications from scratch, one where the developers implement the code by h…

Engineeringmedia_common.quotation_subjectContext (language use)computer.software_genreSoftware_SOFTWAREENGINEERINGCode (cryptography)Automatic programmingWeb applicationQuality (business)Programming paradigmsProductivityQuality analysis and evaluationmedia_commonbusiness.industryData scienceComputer Science ApplicationsProgramming paradigmConceptual modelData miningMethodologiesbusinessAutomatic programmingcomputerLENGUAJES Y SISTEMAS INFORMATICOSSoftwareInformation Systems
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