Search results for " Scala"

showing 10 items of 64 documents

The Bias of combining variables on fish's aggressive behavior studies.

2019

Made available in DSpace on 2019-10-06T16:27:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-07-01 Quantifying animal aggressive behavior by behavioral units, either displays or attacks, is a common practice in animal behavior studies. However, this practice can generate a bias in data analysis, especially when the variables have different temporal patterns. This study aims to use Bayesian Hierarchical Linear Models (B-HLMs) to analyze the feasibility of pooling the aggressive behavior variables of four cichlids species. Additionally, this paper discusses the feasibility of combining variables by examining the usage of different sample sizes and family distributions to aggressive …

0106 biological sciencesBayesian probabilityPosterior probabilityBayesian analysisPoisson distribution010603 evolutionary biology01 natural sciencesBehavioral Neurosciencesymbols.namesakeBiasPrior probabilityStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareMathematicsProbabilitybiologyBehavior Animal05 social sciencesMultilevel modelBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationAggressive behaviourMarkov ChainsAggressionVariable (computer science)Sample size determinationData Interpretation StatisticalsymbolsAnimal Science and ZoologyPooled dataMonte Carlo MethodBehavioural processes
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Bayesian analysis improves experimental studies about temporal patterning of aggression in fish.

2017

Made available in DSpace on 2018-12-11T17:15:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) This study aims to describe a Bayesian Hierarchical Linear Model (HLM) approach for longitudinal designs in fish's experimental aggressive behavior studies as an alternative to classical methods In particular, we discuss the advantages of Bayesian analysis in dealing with combined variables, non-statistically significant results and required sample size using an experiment of angelfish (Pterophyllum scalare) species as case study. Groups of 3 individuals were subjected to daily observations recorded for 10 min durin…

0106 biological sciencesMonte Carlo methodBayesian probabilityBayesian analysisAquaculture010603 evolutionary biology01 natural sciencesStability (probability)Behavioral NeuroscienceStatisticsAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyPterophyllum scalareProbabilitybiologyMarkov chain05 social sciencesMultilevel modelAggressive behaviorBayes TheoremGeneral MedicineCichlidsbiology.organism_classificationLongitudinal designMarkov ChainsAggressionVariable (computer science)Sample size determinationResearch DesignAnimal Science and ZoologyPsychologyMonte Carlo MethodBehavioural processes
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A New Paradigm in Interactive Evolutionary Multiobjective Optimization

2020

Over the years, scalarization functions have been used to solve multiobjective optimization problems by converting them to one or more single objective optimization problem(s). This study proposes a novel idea of solving multiobjective optimization problems in an interactive manner by using multiple scalarization functions to map vectors in the objective space to a new, so-called preference incorporated space (PIS). In this way, the original problem is converted into a new multiobjective optimization problem with typically fewer objectives in the PIS. This mapping enables a modular incorporation of decision maker’s preferences to convert any evolutionary algorithm to an interactive one, whe…

050101 languages & linguisticsMathematical optimizationComputer sciencemedia_common.quotation_subjectdecision makerEvolutionary algorithmpäätöksentukijärjestelmätevoluutiolaskentapreference information02 engineering and technologySpace (commercial competition)Multi-objective optimizationoptimointiachievement scalarizing functionsalgoritmit0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesQuality (business)evolutionary algorithmsFunction (engineering)media_commonbusiness.industry05 social sciencesinteractive methodsModular designDecision makermonitavoiteoptimointiPreference020201 artificial intelligence & image processingbusiness
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Efficient techniques for energy saving in data center networks

2018

Data centers are constructed with a huge number of network devices to support the expanding cloud based services. These devices are used to achieve the highest performance in case of full utilization of the network. However, the peak capacity of the network is rarely reached. Consequently, many devices are set into idle state and cause a huge energy waste leading to a non-proportionality between the network load and the energy consumed. In this paper, we propose a new approach to improve the efficiency of data centers in terms of energy consumption. Our approach exploits the correlation in time of the inter-node communication traffic and some topological features to maximize energy saving w…

Average path lengthNetwork topologyComputer Networks and Communicationsbusiness.industryComputer scienceScalability020206 networking & telecommunicationsCloud computingData center network02 engineering and technologyEnergy consumptionData center network Network topology Average path length Energy consumption ScalabilityNetwork topologyAverage path lengthNetworking hardware020202 computer hardware & architectureEnergy consumptionScalability0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Data centerbusinessEnergy (signal processing)Computer networkComputer Communications
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Mapreduce in computational biology via hadoop and spark

2017

Bioinformatics has a long history of software solutions developed on multi-core computing systems for solving computational intensive problems. This option suffer from some issues solvable by shifting to Distributed Systems. In particular, the MapReduce computing paradigm, and its implementations, Hadoop and Spark, is becoming increasingly popular in the Bioinformatics field because it allows for virtual-unlimited horizontal scalability while being easy-to-use. Here we provide a qualitative evaluation of some of the most significant MapReduce bioinformatics applications. We also focus on one of these applications to show the importance of correctly engineering an application to fully exploi…

BioinformaticSparkSettore INF/01 - InformaticaExploitbusiness.industryComputer scienceBioinformaticsDistributed computingScalabilityAlgorithm engineeringField (computer science)Distributed computingSoftwareAlgorithm engineering; Bioinformatics; Distributed computing; Hadoop; MapReduce; Scalability; SparkHadoopSpark (mathematics)ScalabilityData-intensive computingMapReducebusinessImplementationAlgorithm engineering
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Strange and charm mesons at FAIR

2010

Presented at the XXXI Mazurian Lakes Conference on Physics, Piaski, Poland, August 30–September 6, 2009.

CharmCBMNuclear TheoryNuclear TheoryScalar ResonancesFOS: Physical sciencesStrange ; Charm ; Mesons ; CBM ; FAIR ; GSI ; Finite temperature ; Spectral functions ; Scalar ResonancesStrange mesonUNESCO::FÍSICA::Física molecular::Moléculas mesónicas y muónicasGSINuclear Theory (nucl-th)High Energy Physics - Phenomenology (hep-ph):FÍSICA [UNESCO]Nuclear Experiment (nucl-ex)Nuclear ExperimentNuclear ExperimentNUCLEAR-MATTERFAIREnergyMesonsFinite temperatureHigh Energy Physics::PhenomenologyUNESCO::FÍSICASpectral functionsTemperatureStrangeHigh Energy Physics - PhenomenologyCharm mesonsHigh Energy Physics::Experiment:FÍSICA::Física molecular::Moléculas mesónicas y muónicas [UNESCO]RESONANCES
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Tra città reale e progetto incompiuto. Sondare i limiti del restauro del moderno applicato alla scala urbana: il caso dell'isolato di Cerda alle spal…

2012

Città reale e progetto incompiutoCarrer Pallars di Oriol Bohigase e Josep Maria Martorell.isolato di CerdaSettore ICAR/14 - Composizione Architettonica E Urbanamoderno applicato alla scala urbana
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Nonlinear quasi-contractions of Ciric type

2012

In this paper we obtain points of coincidence and common fixed points for two self mappings satisfying a nonlinear contractive condition of Ciric type. As application, using the scalarization method of Du, we deduce a result of common fixed point in cone metric spaces.

Common fixed points quasi-contractions scalarization cone metric spaces.Settore MAT/05 - Analisi Matematica
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Information Integration Platform for Patient-Centric Healthcare Services: Design, Prototype and Dependability Aspects

2014

Published version of an article in the journal: Future Internet. Also available from the publisher at: http://dx.doi.org/10.3390/fi6010126 Open Access Technology innovations have pushed today’s healthcare sector to an unprecedented new level. Various portable and wearable medical and fitness devices are being sold in the consumer market to provide the self-empowerment of a healthier lifestyle to society. Many vendors provide additional cloud-based services for devices they manufacture, enabling the users to visualize, store and share the gathered information through the Internet. However, most of these services are integrated with the devices in a closed “silo” manner, where the devices can…

Computer Networks and CommunicationsComputer scienceInternet of Thingsavailabilityintegration platformWearable computerCloud computingsecuritycomputer.software_genreWorld Wide WebmiddlewareDependabilityscalabilitylcsh:T58.5-58.64lcsh:Information technologybusiness.industryRESTIntegration platformInternet of Things; integration platform; middleware; REST; publish/subscribe; availability; scalability; security; healthcarehealthcareVDP::Technology: 500::Information and communication technology: 550Middleware (distributed applications)Scalabilitypublish/subscribeThe InternetbusinesscomputerInformation integrationFuture Internet
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A new Adaptive and Progressive Image Transmission Approach using Function Superpositions

2010

International audience; We present a novel approach to adaptive and progressive image transmission, based on the decomposition of an image into compositions and superpositions of monovariate functions. The monovariate functions are iteratively constructed and transmitted, one after the other, to progressively reconstruct the original image: the progressive transmission is performed directly in the 1D space of the monovariate functions and independently of any statistical properties of the image. Each monovariate function contains only a fraction of the pixels of the image. Each new transmitted monovariate function adds data to the previously transmitted monovariate functions. After each tra…

Computer scienceImage qualityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstructionmultidimensional function decompositionSuperposition principleRobustness (computer science)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionsignal processingspatial scalability.Image resolutionImage restorationSignal processingPixelbusiness.industryprogressive image transmissionGeneral Engineering020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsfunctional representation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Computer Science::Computer Vision and Pattern RecognitionKolmogorov superposition theorem020201 artificial intelligence & image processingTomographyArtificial intelligencebusinessDigital filterAlgorithmspatial scalabilityImage compression
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