Search results for "Sample"

showing 10 items of 2270 documents

Optical system for automatic color monitoring in heterogeneous media during vinification processes

2019

Abstract Wine is one of the most important food products worldwide. However, the application of technologies to the winemaking process can improve. An RGBC optical sensor, used to measure color intensity and shade, was developed and tested in real environments. It is able to measure samples without filtering by offering the color intensity and shade of a filtered sample. Color intensity can be measured within the range of 1.5 and 9.5 color points with an approximate 3% error. The model for shade can be applied to red wines with an approximate 1% error. It can operate directly in cellars under real operating conditions. It avoids collecting samples, and filtering and measuring in a spectroph…

Computer scienceSample (material)02 engineering and technology010402 general chemistry01 natural sciencesMaterials ChemistryComputer visionElectrical and Electronic EngineeringInstrumentationWinemakingWineMeasure (data warehouse)business.industryMetals and AlloysProcess (computing)Color intensity021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsAnalyticsFood productsArtificial intelligence0210 nano-technologybusinessSensors and Actuators B: Chemical
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Efficient anomaly detection on sampled data streams with contaminated phase I data

2020

International audience; Control chart algorithms aim to monitor a process over time. This process consists of two phases. Phase I, also called the learning phase, estimates the normal process parameters, then in Phase II, anomalies are detected. However, the learning phase itself can contain contaminated data such as outliers. If left undetected, they can jeopardize the accuracy of the whole chart by affecting the computed parameters, which leads to faulty classifications and defective data analysis results. This problem becomes more severe when the analysis is done on a sample of the data rather than the whole data. To avoid such a situation, Phase I quality must be guaranteed. The purpose…

Computer scienceSample (material)0211 other engineering and technologies02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing010104 statistics & probabilitysymbols.namesake[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]ChartControl chartEWMA chart0101 mathematics021103 operations researchData stream miningbusiness.industryPattern recognition[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]OutliersymbolsAnomaly detection[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Artificial intelligence[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessGibbs sampling
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Dog-bite-related attacks: A new forensic approach

2020

Dog attacks today represent a health hazard considering that prevention strategies have not always been successful. The identification of the dog that attacked the victim is necessary, considering the civil or criminal consequences for the animal's owner. An accurate scene analysis must be performed collecting a series of important information.Forensic investigations in dog attacks involve different methods, such as the evaluating of the canine Short Tandem Repeat (STR) typing in saliva traces on wounds or bite mark analysis, however, these techniques cannot always be applied. The effort to find new methods to identify the dog that attacked the victim represents a very interesting field for…

Computer scienceSample (material)Sensitivity and Specificity01 natural sciencesdog attacksCattle genotypingForensic pathologyPathology and Forensic MedicineGenetic profile03 medical and health sciencesDogs0302 clinical medicinemedicineAnimalsHumansShort tandem repeatBites and Stings030216 legal & forensic medicineSalivacattle genotyping; dog attacks; dog identification; forensic pathology; forensic science; short tandem repeat; tgla122; tgla53Dog attackScene analysisdog identification010401 analytical chemistrytgla53DNAForensic Medicinemedicine.diseaseTGLA53.DNA FingerprintingDog bitePedigree0104 chemical sciencesForensic scienceIdentification (information)TGLA122Reference sampleForensic scienceMedical emergencyDog attackLawForensic Science International
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Daily streamlow prediction with uncertainty in ephemeral catchments using the GLUE methodology

2009

Abstract The Generalised Likelihood Uncertainty Estimation (GLUE) approach is presented here as a tool for estimating the predictive uncertainty of a rainfall–runoff model. The GLUE methodology allows to recognise the possible equifinality of different parameter sets and assesses the likelihood of a parameters set being acceptable simulator when model predictions are compared to observed field data. The results of the GLUE methodology depend greatly on the choice of the likelihood measure and on the choice of the threshold which determines if a parameters set is behavioural or not. Moreover the sampling size has a strong influence on the uncertainty assessment of the response of a rainfall–…

Computer scienceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEquifinalityVariance (accounting)Measure (mathematics)GeophysicsGeochemistry and PetrologySample size determinationStatisticsEconometricsSample varianceSensitivity analysisGLUEPredictive uncertainty Rainfall-Runoff model Generalized Likelehood Uncertainty Estimation Ephemeral catchmentsUncertainty analysis
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Watch This! The Influence of Recommender Systems and Social Factors on the Content Choices of Streaming Video on Demand Consumers

2021

Streaming Video-on-demand (SVOD) services are getting increasingly popular. Current research, however, lacks knowledge about consumers’ content decision processes and their respective influencing factors. Thus, the work reported on in this paper explores socio-technical interrelations of factors impacting content choices in SVOD, examining the social factors WOM, eWOM and peer mediation, as well as the technological influence of recommender systems. A research model based on the Theory of Reasoned Action and the Technology Acceptance Model was created and tested by an n = 186 study sample. Results show that the quality of a recommender system and not the social mapping functionality is the …

Computer scienceStreaming Video on Demandmedia_common.quotation_subjectsuosittelujärjestelmätpeer mediationSample (statistics)Advertisingtechnology influencekuluttajakäyttäytyminenRecommender systemTheory of reasoned actionMediation(e)word of mouthTechnology acceptance modelQuality (business)recommender systemsvertaisryhmätContent (Freudian dream analysis)social influencesuoratoistopalvelutmedia_commonSocial influence
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Portability in analytical chemistry: a green and democratic way for sustainability

2019

International audience; Recent advances in portability of analytical equipment have been considered to enlighten the advantages offered by portable instrumentation on greening the analytical methods. Their use drastically reduces sampling, sample stockage, and transport, thus avoiding environmental side effects and risks, also improving decision-making. The fact that portable instrumentation is, in general, less expensive than bench instruments and apparatuses makes also available the analytical tools for extended sectors of the population, thus making accessible the advantages derived from analytical methods. The role of sensor technology and portable miniaturized systems has been consider…

Computer science[SDV]Life Sciences [q-bio]PopulationBio(chemical) sensorsSample (statistics)Miniaturized instrumentsPortable apparatus010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesCatalysisSoftware portabilityImage processing[SDV.IDA]Life Sciences [q-bio]/Food engineering[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringInstrumentation (computer programming)educationWaste Management and Disposal0105 earth and related environmental scienceseducation.field_of_studyProcess Chemistry and TechnologyIn-field sampling010406 physical chemistry0104 chemical sciencesChemistry (miscellaneous)SustainabilitySystems engineeringCurrent Opinion in Green and Sustainable Chemistry
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Miniaturized solid-phase extraction techniques

2015

More than 80% of analysis time is spent on sample collection and sample preparation, so sample preparation is a critical part of the analytical process. Traditionally, liquid-liquid extraction was developed and employed to screen for general unknowns. However, solid-phase extraction (SPE) is becoming highly popular as an alternative, due to its simplicity and economy in terms of time and solvent. This review summarizes the current state of the art and the future prospects for green analytical chemistry with special emphasis on environment-friendly sample-preparation techniques based on the solid phase. We discuss in detail miniaturized SPE techniques, based on the most relevant, most repres…

Computer sciencebusiness.industryExtraction (chemistry)Analytical chemistrySample preparationSolid phase extractionSample collectionSolid-phase microextractionProcess engineeringbusinessSpectroscopyAnalytical ChemistryTrAC Trends in Analytical Chemistry
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MEDiSN

2008

Staff shortages and an increasingly aging population are straining the ability of emergency departments to provide high-quality care. Moreover, there is a growing concern about the ability of hospitals to provide effective care during disaster events. Tools that automate patient monitoring would greatly improve efficiency, quality of care, and the volume of patients treated. Towards this goal, we have developed MEDiSN, a wireless sensor network for monitoring patients' vital signs in hospitals and disaster events. MEDiSN consists of Patient Monitors which are custom-built, patient-worn motes that sample, compress and secure medical data, and Relay Points that form a static multi-hop wireles…

Computer sciencebusiness.industryRemote patient monitoringQuality of serviceVital signsVolume (computing)Sample (statistics)Computer securitycomputer.software_genreWirelessbusinesscomputerCollection Tree ProtocolWireless sensor networkProceedings of the 6th ACM conference on Embedded network sensor systems
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Evaluating Model-Driven Development Claims with Respect to Quality: A Family of Experiments

2021

[EN] Context: There is a lack of empirical evidence on the differences between model-driven development (MDD), where code is automatically derived from conceptual models, and traditional software development method, where code is manually written. In our previous work, we compared both methods in a baseline experiment concluding that quality of the software developed following MDD was significantly better only for more complex problems (with more function points). Quality was measured through test cases run on a functional system. Objective: This paper reports six replications of the baseline to study the impact of problem complexity on software quality in the context of MDD. Method: We con…

Computer sciencemedia_common.quotation_subjectContext (language use)Sample (statistics)02 engineering and technologySoftwareUnified Modeling LanguageStatisticsValidation0202 electrical engineering electronic engineering information engineeringAutomatic programmingQuality (business)Baseline (configuration management)computer.programming_languagemedia_commonModel driven developmentbusiness.industrySoftware development020207 software engineeringSoftware qualityFunction pointTest caseMethodologiesbusinesscomputerLENGUAJES Y SISTEMAS INFORMATICOSSoftware
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What Factors have an Influence on A Quality Teaching Practice in Sciences?

2012

Abstract This paper aims to know to what extent in-service teachers who have not participated in science teaching training courses neither have performed any research in this field develop a quality teaching practice and what factors have influenced to achieve it. Questionnaires and non-participating observation protocols about the classroom work have been used as well as semi-structured interviews with a sample of teachers to obtain data. These instruments try to characterize the teaching action and determine what factors and in which degrees have influenced the performance of a quality science teaching activity.

Computer sciencemedia_common.quotation_subjectSample (statistics)relationship between research in science and science teachingEducació InvestigacióCiència EnsenyamentResearch in educationTeaching and learning centerMathematics educationComputingMilieux_COMPUTERSANDEDUCATIONGeneral Materials ScienceQuality (business)media_commonFactors of a quality teaching practiceProcedia - Social and Behavioral Sciences
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