Search results for " Processing"

showing 10 items of 7549 documents

Protein recovery as a resource from waste specifically via membrane technology : from waste to wonder

2021

Economic growth and the rapid increase in the world population has led to a greater need for natural resources, which in turn, has put pressure on said resources along with the environment. Water, food, and energy, among other resources, pose a huge challenge. Numerous essential resources, including organic substances and valuable nutrients, can be found in wastewater, and these could be recovered with efficient technologies. Protein recovery from waste streams can provide an alternative resource that could be utilized as animal feed. Membrane separation, adsorption, and microbe-assisted protein recovery have been proposed as technologies that could be used for the aforementioned protein re…

potato processing wastemembrane foulingmicroalgaejätevesikalvotekniikka (erotusmenetelmät)talteenottopurple phototrophic bacteriaelintarviketeollisuusbiomassa (teollisuus)mikrobitproteiinitmesoporous silica nanoparticlesadsorptioalfalfa processing wastedairy waste proteinwastewaters
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Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules

2020

Many real life problems can be modelled as multiobjective optimization problems. Such problems often consist of multiple conflicting objectives to be optimized simultaneously. Multiple optimal solutions exist to these problems, and a single solution cannot be said to be the best without preferences given by a domain expert. Preferences can be used to find satisfying solutions: optimal solutions, which best match the expert’s preferences. To model the preferences of the expert, and aid him/her in finding satisfying solutions, a novel method is proposed. The method utilizes machine learning combined with belief-rule based systems to adaptively train a belief rule based system to learn a domai…

preference modellingmallintaminenOptimization problemLinear programmingComputer scienceProcess (engineering)päätöksentukijärjestelmät02 engineering and technologyMachine learningcomputer.software_genreMulti-objective optimizationbelief-rule based systemsdecision makingoptimointiConflicting objectives020204 information systems0202 electrical engineering electronic engineering information engineeringPreference (economics)business.industryDecision makermonitavoiteoptimointiExpert systemmachine learningkoneoppiminenmultiple objective optimization020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerPython2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Project DyAdd : Nonlinguistic theories of dyslexia predict intelligence

2020

Two themes have puzzled the research on developmental and learning disorders for decades. First, some of the risk and protective factors behind developmental challenges are suggested to be shared and some to be specific for a given condition. Second, language-based learning difficulties like dyslexia are suggested to result from or correlate with also nonlinguistic aspects of information processing. In the current study, we investigated how adults with developmental dyslexia and ADHD as well as healthy controls cluster across various dimensions designed to tap the prominent nonlinguistic theories of dyslexia. Participants were 18–55-year-old adults with dyslexia (n = 36), ADHD (n = 22), and…

procedural learningcomorbidityoppimisvaikeudetvisual attentionneuropsykologiakehityshäiriötdyslexiamental disordersADHDdysleksiaeyeblink conditioningtemporal processingvisual processing
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Employer brand management: methodological aspects

2021

У статті обгрунтовано необхідність залучення зовнішніх ресурсів для управління брендом роботодавця. У роботі авторами було схематизовано процес прийняття рішення щодо обгрунтованого вибору компаній аутсорсерів. При цьому сформовано систему критеріїв здійснення такого вибору, що включає як вимоги до компанії-аутсорсера, так і вимоги до майбутнього проекту: рівень вдалих попередніх проектів; рівень задоволеності клієнтів; досвід роботи в Україні; середня вартість послуг аутсорсингової компанії з розробки проекту; термін розробки проекту; комплексність розроблених рекомендацій щодо просування бренду роботодавця; термін дії проекту; гнучкість проекту; рівень складності впровадження проекту; сер…

project metricsKnowledge managementulkoistaminenbrändäysVIKOR method02 engineering and technologyBiologyOutsourcingаутсорсинг0502 economics and business0202 electrical engineering electronic engineering information engineeringemployer attractivenessMulticriteria analysisinternal and external resources for the employer brand formationmulticriteria analysisVIKOR methodbusiness.industryProject metricsпривабливість роботодавця05 social sciencesметрики проектівметод VIKORvetovoimaisuustyönantajatбренд роботодавцяbränditBrand managementбагатокритеріальний аналізoutsourcingemployer brand020201 artificial intelligence & image processingbusinessвнутрішні й зовнішні ресурси формування бренду роботодавця050203 business & managementMarketing and Management of Innovations
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Modal Consequence Relations Extending S4.3: An Application of Projective Unification

2016

We characterize all finitary consequence relations over $\mathbf{S4.3}$ , both syntactically, by exhibiting so-called (admissible) passive rules that extend the given logic, and semantically, by providing suitable strongly adequate classes of algebras. This is achieved by applying an earlier result stating that a modal logic $L$ extending $\mathbf{S4}$ has projective unification if and only if $L$ contains $\mathbf{S4.3}$ . In particular, we show that these consequence relations enjoy the strong finite model property, and are finitely based. In this way, we extend the known results by Bull and Fine, from logics, to consequence relations. We also show that the lattice of consequence relation…

projective unificationPure mathematicsUnificationLogicFinite model property02 engineering and technology68T15Lattice (discrete subgroup)01 natural sciencesadmissible rulesComputer Science::Logic in Computer Science0202 electrical engineering electronic engineering information engineeringCountable setFinitaryHeyting algebra08C150101 mathematics03B45MathematicsDiscrete mathematics010102 general mathematicsquasivarietiesModal logicstructural completenessconsequence relations03B35Distributive property06E25$\mathbf{S4.3}$S4.3020201 artificial intelligence & image processingNotre Dame Journal of Formal Logic
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Single Event Upsets Induced by Direct Ionization from Low-Energy Protons in Floating Gate Cells

2017

Floating gate cells in advanced NAND Flash memories, with single-level and multi-level cell architecture, were exposed to low-energy proton beams. The first experimental evidence of single event upsets by proton direct ionization in floating gate cells is reported. The dependence of the error rate versus proton energy is analyzed in a wide energy range. Proton direct ionization events are studied and energy loss in the overlayers is discussed. The threshold LET for floating gate errors in multi-level and single-level cell devices is modeled and technology scaling trends are analyzed, also discussing the impact of the particle track size. peerReviewed

protonitNuclear and High Energy PhysicsProtonfloating gate devicesNAND gateFlash memories01 natural sciencesComputer Science::Hardware ArchitectureIonizationFlash memories; floating gate devices; protons; single event effects; Nuclear and High Energy Physics; Nuclear Energy and Engineering; Electrical and Electronic Engineering0103 physical sciencesHardware_ARITHMETICANDLOGICSTRUCTURESElectrical and Electronic Engineeringflash-muistit010302 applied physicsPhysicsRange (particle radiation)ta114ta213protons010308 nuclear & particles physicsbusiness.industryElectrical engineeringsingle event effectsNon-volatile memoryNuclear Energy and EngineeringLogic gateAtomic physicsbusinessEvent (particle physics)Energy (signal processing)IEEE Transactions on Nuclear Science
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Scheduling under the network of temporo-spatial proximity relationships

2017

We discuss and introduce to the schedulingeld a novel, qualitative optimization model - scheduling under the network of temporo-spatial proximity relationships.We introduce a half perimeter proximity measure as an objective of scheduling.We present and evaluate an incremental Sequence Pair neighborhood evaluation algorithm, applicable to both scheduling and rectangle packing problems in VLSI industry. In this paper, we discuss and introduce to the scheduling field a novel optimization objective - half perimeter proximity measure in scheduling under the network of temporo-spatial proximity relationships. The presented approach enables to qualitatively express various reasons of scheduling ce…

proximity relationshipsMathematical optimizationGeneral Computer Sciencerectangle packing problemEvaluation algorithm0102 computer and information sciences02 engineering and technologyIntegrated circuitManagement Science and Operations Research01 natural scienceslaw.inventionScheduling (computing)lawApproximation error0202 electrical engineering electronic engineering information engineeringschedulingComputer Science::Operating SystemsMathematicsVery-large-scale integrationProximity measureneighborhood evaluation010201 computation theory & mathematicsModeling and Simulation020201 artificial intelligence & image processingsequence pairRectangle packingComputers & Operations Research
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Intégrer des informations en escamots dans les textes techniques : quels effets sur les processus cognitifs ?

1998

Though computerized sytems now offer a wide range of options for accessing and displaying text or text-picture information, little is known about their effects on the user's cognitive processes. In this paper, we investigate the effect of a computer-specific display (pop-up window) which consists in displaying some pieces of information in windows that appear only under user's action. Experiments were carried out to compare the pop-up window device with other devices used on paper. The experiments dealt with text only as well as text-picture documents and involved various tasks. Results are discussed from a theoretical and a practical point of view.

présentation des informationstraitement cognitif du texte[SHS.INFO]Humanities and Social Sciences/Library and information scienceshyperlink[SCCO.COMP]Cognitive science/Computer scienceelectronic documents[SHS.INFO] Humanities and Social Sciences/Library and information sciencesdocument électroniquehyperlien[SCCO.COMP] Cognitive science/Computer sciencedigital documentsprocessus cognitifs[ SCCO.COMP ] Cognitive science/Computer sciencedocument numérique[ SHS.INFO ] Humanities and Social Sciences/Library and information sciencesescamotinformation displaytext processingtext-picture interactionpop-up windowcognitive processesinteraction texte-figure
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Career Adapt-Abilities Scale – Dual Career Form (CAAS-DC): psychometric properties and initial validation in high-school student-athletes

2016

Talented adolescent athletes attempting to sustain academic and vocational training alongside the increasing demands of their athletic career often encounter difficulties, including lower vocational readiness and the challenge of adapting to life after elite sport. Therefore, it is necessary to better understand the specific competencies that youth athletes can draw upon to successfully combine sport and education into a dual career pathway. Building on the existing Career Adapt-Abilities Scale [Savickas & Porfeli, (2012). Career adapt-abilities scale: Construction, reliability, and measurement equivalence across 13 countries. Journal of Vocational Behavior, 80(3), 661–673], we developed a …

psychometricssports and exercise; areas of expertiseHealth (social science)PsychometricsAdolescent athleteslcsh:BF1-990educationApplied psychologylcsh:Medicine03 medical and health sciencesBehavioral Neuroscience0302 clinical medicinecareer adaptability0502 economics and businessta516youth sportCareer portfoliota515General Psychologyareas of expertiseCognitive Information Processinglcsh:R05 social sciences030229 sport sciencespsychometrics; methodology expertiseDual careerDual (category theory)methodology expertisepsykometriikkalcsh:Psychologysports and exercisedual careerScale (social sciences)Vocational educationStudent athletesPsychology050203 business & managementHealth Psychology and Behavioral Medicine
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Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation

2023

Smart manufacturing uses emerging deep learning models, and particularly Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), for different industrial diagnostics tasks, e.g., classification, detection, recognition, prediction, synthetic data generation, security, etc., on the basis of image data. In spite of being efficient for these objectives, the majority of current deep learning models lack interpretability and explainability. They can discover features hidden within input data together with their mutual co-occurrence. However, they are weak at discovering and making explicit hidden causalities between the features, which could be the reason behind the parti…

päättelyluokitus (toiminta)syväoppiminenConvolutional Neural Networkneuroverkotimage processingGenerative Adversarial NetworkkoneoppiminenkausaliteettiGeneral Earth and Planetary Sciencesvalmistustekniikkakonenäköcausal discoverycausal inferenceGeneral Environmental Science
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