Search results for "Bay"

showing 10 items of 1187 documents

Naive Bayes classier-based fire detection using smartphone sensors

2014

Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 For many years, smoke detectors have been used as the most crucial _re detection sensors.Although smoke detectors do their job very well, they are not perfect and may causefalse or late alarms. This is because they only rely on one of the _re signs which is smoke.Fire has many other signs as well such as heat and light. It also a_ects its environmentalparameters such as temperature and humidity. But typically, buildings are not equippedwith sensors capable of sensing these changes. Recently, a few smartphone manufacturershave added temperature, humidity, and barometer sensors to their products which c…

IKT590VDP::Technology: 500::Information and communication technology: 550Naive Bayes Classi er ; Smartphone ; Sensor ; Fire Detection
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An interpolation-based data fusion scheme for enhancing the resolution of thermal image sequences

2014

In several human activities, such as agriculture and forest management, the monitoring of radiometric surface temperature is key. In particular both high spatial resolution and high acquisition rate are desirable but, due to the hardware limitations, these two characteristics are not met by the same sensor. The fusion of remotely sensed data acquired by sensors with different spatial and temporal resolution is a profitable choice to face this issue. When the real-time requirement is relaxed, the data sequence can be processed as a whole, allowing to improve the final result. Within this framework, we propose a novel batch sharpening strategy, relying on interpolation, data fusion and Bayesi…

Image fusionIrrigation ManagementSettore ING-INF/03 - TelecomunicazioniComputer sciencebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaComputer Science Applications1707 Computer Vision and Pattern RecognitionSharpeningSensor fusionBayesian SmoothingThermal SharpeningMultitemporal AnalysiTemporal resolutionFace (geometry)Key (cryptography)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionArtificial intelligencebusinessMultisensor Data FusionEarth and Planetary Sciences (all)Settore ICAR/06 - Topografia E CartografiaSub-pixel resolutionInterpolation2014 IEEE Geoscience and Remote Sensing Symposium
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Altered metabolism of gut microbiota contributes to chronic immune activation in HIV-infected individuals.

2015

Altered interplay between gut mucosa and microbiota during treated HIV infection may possibly contribute to increased bacterial translocation and chronic immune activation, both of which are predictors of morbidity and mortality. Although a dysbiotic gut microbiota has recently been reported in HIV + individuals, the metagenome gene pool associated with HIV infection remains unknown. The aim of this study is to characterize the functional gene content of gut microbiota in HIV + patients and to define the metabolic pathways of this bacterial community, which is potentially associated with immune dysfunction. We determined systemic markers of innate and adaptive immunity in a cohort of HIV-in…

ImmunologyHIV InfectionsBiologyGut floraAdaptive ImmunityMicrobiologyMetabolomicsImmunityAntiretroviral Therapy Highly ActiveRNA Ribosomal 16SMetabolomeImmunology and AllergyCluster AnalysisHumansMetabolomicsGeneCase-control studyBayes TheoremBiodiversityAcquired immune systembiology.organism_classificationImmunity InnateMarkov ChainsGastrointestinal MicrobiomeMetabolic pathwayCase-Control StudiesImmunologyDisease ProgressionHIV-1MetabolomeMetagenomeMucosal immunology
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In situ measurements of molecular iodine in the marine boundary layer: the link to macroalgae and the implications for O<sub>3</…

2010

Abstract. Discrete in situ atmospheric measurements of molecular iodine (I2) were carried out at Mace Head and Mweenish Bay on the west coast of Ireland using diffusion denuders in combination with a gas chromatography-mass spectrometry (GC-MS) method. I2, IO and OIO were also measured by long-path differential optical absorption spectroscopy (LP-DOAS). The simultaneous denuder and LP-DOAS I2 measurements were well correlated (R2=0.80) but the denuder method recorded much higher concentrations. This can be attributed to the fact that the in situ measurements were made near to macroalgal sources of I2 in the intertidal zone, whereas the LP-DOAS technique provides distance-averaged mixing rat…

In situAtmospheric ScienceDaytimebiologyChemistryDifferential optical absorption spectroscopyPhotodissociationAnalytical chemistryIntertidal zonebiology.organism_classificationAlgaeEnvironmental chemistryDiffusion (business)BayAtmospheric Chemistry and Physics
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Are attachment dimensions associated with infertility-related stress in couples undergoing their first IVF treatment? A study on the individual and c…

2012

study question: Are attachment anxiety and avoidance dimensions in female and male partners in couples seeking infertility treat- ment associated with her and his infertility-related stress? summary answer: Attachment dimensions are significantly associated with several aspects of infertility stress in couples undergoing IVF treatment. what is known and what this paper adds: Attachment dimensions of anxiety and avoidance (where highly anxious individuals fear rejection and are preoccupied with maintaining proximity to their partner and highly avoidant individuals are uncomfortable with intimacy and prefer to maintain distance from their partner) may influence the well being of individuals u…

InfertilityAdultMalemedia_common.quotation_subjectOocyte RetrievalFertilityFertilization in VitroAnxietyCost of IllnessOvulation InductionBayesian multivariate linear regressionAnxiety SeparationSettore M-PSI/08 - Psicologia ClinicaAttachment theoryMedicineHumansRejection (Psychology)Longitudinal StudiesProspective StudiesSperm Injections IntracytoplasmicInfertility Malemedia_commonbusiness.industryRehabilitationConfoundingObstetrics and Gynecologymedicine.diseaseObject AttachmentCross-Sectional StudiesSexual PartnersReproductive MedicineItalyWell-beingfertility-related stress attachment partner concerns IVF/ICSI cross-partner effect.AnxietyFemalemedicine.symptombusinessInfertility FemaleStress PsychologicalClinical psychology
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Modelling the General Public's Inflation Expectations Using the Michigan Survey Data

2009

In this article we discuss a few models developed to explain the general public's inflation expectations formation and provide some relevant estimation results. Furthermore, we suggest a simple Bayesian learning model which could explain the expectations formation process on the individual level. When the model is aggregated to the population level it could explain not only the mean values, but also the variance of the public's inflation expectations. The estimation results of the mean and variance equations seem to be consistent with the results of the questionnaire studies in which the respondents were asked to report their thoughts and opinions about inflation.

InflationEstimationEconomics and EconometricsActuarial sciencePopulation levelmedia_common.quotation_subjectEconomicsEconometricsSurvey data collectionVariance (accounting)Bayesian inferenceIndividual levelmedia_common
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A Naïve Sticky Information Model of Households’ Inflation Expectations

2009

This paper provides a simple epidemiology model where households, when forming their inflation expectations, rationally adopt the past release of inflation with certain probability rather than the forward-looking newspaper forecast as suggested in Carroll [2003, Macroeconomic Expectations of Households and Professional Forecasters, Quarterly Journal of Economics, 118, 269-298]. The posterior model probabilities based on the Michigan survey data strongly support the proposed model. We also extend the agent-based epidemiology model by deriving for it a simple adaptation, which is suitable for estimation. Our results show that this model is able to capture the heterogeneity in households’ expe…

InflationEstimationEconomics and Econometricsjel:C82Control and OptimizationInflation expectations; heterogeneous expectations; survey expectations; sticky information; Bayesian analysisjel:D84Applied Mathematicsmedia_common.quotation_subjectjel:C5305 social sciencesBayesian probabilityjel:E31jel:C11DeflationSticky information0502 economics and businessEconometricsEconomicsSurvey data collection050207 economicsSimulation methods050205 econometrics media_common
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Inflation shocks and income inequality

2019

Purpose The purpose of this paper is to analyze the effects of inflationary shocks on inequality, using data of selected countries of the Middle East and North Africa (MENA). Design/methodology/approach Inflationary shocks were measured as deviations from core inflation, based on a genetic algorithm. Bayesian quantile regression was used to estimate the impact of inflationary shocks in different levels of inequality. Findings The results showed that inflationary shocks substantially affect countries with higher levels of inequality, thus suggesting that the detrimental impact of inflation is exacerbated by the high division of classes in a country. Originality/value The study contributes t…

InflationInequality050204 development studiesmedia_common.quotation_subject05 social sciencesBayesian probabilityGeneral Business Management and AccountingQuantile regressionEconomic inequality0502 economics and businessEconometricsEconomics050207 economicsEmpirical evidenceGeneral Economics Econometrics and FinanceCore inflationmedia_commonQuantileAfrican Journal of Economic and Management Studies
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A Framework for Assessing the Condition of Crowds Exposed to a Fire Hazard Using a Probabilistic Model

2014

Published version of an article in the journal: International Journal of Machine Learning and Computing. Also available from the publisher at: http://dx.doi.org/10.7763/IJMLC.2014.V4.379 open Access Allocating limited resources in an optimal manner when rescuing victims from a hazard is a complex and error prone task, because the involved hazards are typically evolving over time; stagnating, building up or diminishing. Typical error sources are: miscalculation of resource availability and the victims’ condition. Thus, there is a need for decision support when it comes to rapidly predicting where the human fatalities are likely to occur to ensure timely rescue. This paper proposes a probabil…

Information Systems and ManagementOperations researchemergency evacuationComputer scienceVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Bayesian networkVDP::Technology: 500::Information and communication technology: 550Statistical modelComputer Science ApplicationsFire hazardBayesian networksCrowdsArtificial IntelligenceDiagnostic modelEmergency evacuationdiagnostic modelhuman response in fireInternational Journal of Machine Learning and Computing
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Spatio-Temporal Analysis of Suicide-Related Emergency Calls

2017

Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled by means of an autoregressive approach to spatio-temporal disease mapping that allows for incorporating the possible interaction between both temporal and spatial effects. Results show the importance of including seasonality effect, as there are differences between the number of suicide-related emergency calls between the four seasons of each year.

Injury controlAccident preventionComputer scienceHealth Toxicology and Mutagenesisdisease mappingPoison controllcsh:Medicinebayesian modelingBayesian inference01 natural sciencesSuicide preventionArticle010104 statistics & probability03 medical and health sciences0302 clinical medicineSpatio-Temporal AnalysismedicineHumans030212 general & internal medicine0101 mathematicspolice calls-for-serviceseasonalitySpatio-Temporal Analysislcsh:RPublic Health Environmental and Occupational HealthEmergency Medical Dispatchmedicine.diseasesocial epidemiologybayesian modeling; disease mapping; police calls-for-service; seasonality; social epidemiologySuicideAutoregressive modelMedical emergencySeasonsCartographyInternational Journal of Environmental Research and Public Health
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