Search results for "Computer Science Applications"

showing 10 items of 3993 documents

Comparison of analytical methods and AI tools for material characterisation in hot forming

2002

Abstract Hot forming processes probably represent the most ancient of forming operations and what is more they are still today commonly used in modern mechanical industry in order to obtain sound parts, achieving large deformations with a limited required power. Hot metal forming operations are characterised by a large number of physical and thermal phenomena which have to be taken into account in order to model and design the processes themselves. Actually several thermally activated phenomena occur during the forming processes such as recovery, recrystallisation, grain growth, precipitation, allotropic transformations, etc. In this paper the comparison between an analytical method based o…

Grain growthMaterials scienceMetal formingModeling and SimulationThermalMetals and AlloysCeramics and CompositesMechanical engineeringForming processesIndustrial and Manufacturing EngineeringComputer Science ApplicationsEffective equationJournal of Materials Processing Technology
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Assessing the effectiveness of a game‐based phonics intervention for first and second grade English language learners in India: A randomized controll…

2021

Background In 2018, it was found that only a quarter of Grade 3 children in India were reading at grade level. A growing demand for English education has further limited children's literacy achievement. Despite a strong evidence base in favour of using systematic phonics for building English literacy skills, many teachers in India continue to use rote-methods of literacy instruction. Objectives We aimed to examine the efficacy of GraphoLearn (GL) English Rime, a computer-assisted reading intervention, in improving the foundational literacy skills of 1st and 2nd grade students who were attending an English medium school in India. Methods A total of 136 students across 6 classrooms were rando…

GraphoLearnEnglish language learnersIndiaeducational technologylapset (ikäryhmät)English languagePhonicslukeminenEducationlaw.inventionRandomized controlled triallawIntervention (counseling)tietokoneavusteinen oppiminenopetusteknologiainterventionMedical educationpelaaminenEducational technologyphonicsComputer Science ApplicationslukutaitoopetusmenetelmätGame basedPsychologyenglannin kieliJournal of Computer Assisted Learning
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A mobile game as a support tool for children with severe difficulties in reading and spelling

2020

We used a randomized controlled trial to investigate if a mobile game, GraphoLearn (GL), could effectively support the learning of first graders (N = 70), who have severe difficulties in reading and spelling. We studied the effects of two versions of the game: GL Reading, which focused on training letter-sound correspondence and word reading; and GL Spelling, which included additional training in phonological skills and spelling. During the spring of first grade, the children trained with tablet computers which they could carry with them during the six-week intervention. The average exposure time to training was 5 hr 44 min. The results revealed no differences in the development of reading …

GraphoLearnFLUENCYmedia_common.quotation_subjectPHONEMIC AWARENESSINSTRUCTIONGame based learning050105 experimental psychologyomatoimisuuslukeminenEducationmobile learningFluencyoppimisvaikeudetEARLY LITERACYmobiilioppiminenreadingIntervention (counseling)Reading (process)0501 psychology and cognitive sciencesserious gamemedia_commonmobiilipelitSelf-efficacyluetun ymmärtäminenOUTCOMESPhonemic awareness4. EducationDISABILITY05 social sciences050301 educationSELF-EFFICACYSpellingPOOR READERSComputer Science ApplicationslukutaitokirjoitustaitoSKILLS516 Educational sciencesPsychologylukihäiriöt0503 educationMobile deviceself-efficacyINTERVENTIONCognitive psychology
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Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis

2011

In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning stops once this set has been processed. Training these classifiers requires a representative amount of data, but the gathering, preprocess, and validation of samples is expensive and time-consuming. Therefore, for a classical, non-incremental approach to ML, it is necessary to wait long enough to collect all the required data. In contrast, an incremental learning approach may allow us to build an initial classifier with a smaller number of samples and update it incrementally…

Graybill-Deal estimatorDatabases FactualComputer sciencePopulation-based incremental learningGaussianTraining setsHealth InformaticsMachine learningcomputer.software_genreIncremental algorithmPersonalizationsymbols.namesakeAutomatic brain tumour diagnosisArtificial IntelligenceNumber of samplesMachine learningMagnetic resonance spectroscopyHumansPreprocessIncremental learningTraining setbusiness.industryBrain NeoplasmsBrain tumoursEstimatorComputational BiologyPattern recognitionLinear discriminant analysisMagnetic Resonance ImagingDiscriminant analysisTranslational research Tissue engineering and pathology [ONCOL 3]Graybill–Deal estimatorComputer Science ApplicationsGaussiansMagnetic resonanceFISICA APLICADAIncremental learningsymbolsEmpirical resultsArtificial intelligencebusinessClassifier (UML)computerEstimationAlgorithmsJournal of Biomedical Informatics
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The Use of Amberlite Adsorbents for Green Chromatography Determination of Volatile Organic Compounds in Air

2012

Passive samplers have been widely used for volatile organic compounds determination. Following the green chemistry tendency of the direct determination of adsorbed compounds in membrane-based devices through using head space direct chromatography analysis, this work has evaluated the use of Amberlite XAD-2, XAD-4, and XAD-16 adsorbents as a filling material for passive samplers. Direct analysis of the membranes by HS-GC-MS involves a solvent-free method avoiding any sample treatment. For exposed membranes, recoveries ranged from 10% to 203%, depending on the compound and adsorbent used. The limit of the detection values ranged from 1 to 140 ng per sampler. Acceptable precision and sensitivi…

Green chemistryChromatographylcsh:QD71-142Article SubjectChemistryGeneral Chemical Engineeringlcsh:Analytical chemistryAmberliteComputer Science ApplicationsAnalytical ChemistryMembraneAdsorptionDirect analysisInstrumentationResearch ArticleJournal of Analytical Methods in Chemistry
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Tablet as a digital tool in supervision of student teachers’ practical training

2016

Published version. Source at http://doi.org/10.18261/issn.1891-943x-2016-04-02. License CC BY-NC-SA 4.0. In the project “Tablets in Practicum Supervision”, the tablet has been tested as a tool for observation and supervision in Norwegian teacher education. The study incorporates 14 practicum supervision groups and focuses on how the use of tablets can influence the quality of the supervision and the coherence between teaching, observation and supervision. Throughout the supervision process, the groups have used tablets to produce and share texts, pictures and video recordings. The use of tablets has resulted in eight aspects of quality improvement: improved observations, stronger motivation…

GroupbasedsupervisionMedical educationobservation030504 nursingTeacher education05 social sciences050301 educationStudent teacherLTraining (civil)Teacher educationComputer Science ApplicationsEducationTeachereducation03 medical and health sciencesInformation and Communications TechnologyGroup based supervisionICTPedagogy0305 other medical sciencePsychologyVDP::Social science: 200::Education: 2800503 educationLicense
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Handover and Uplink Power Control Performance in the 3.84 Mcps TDD mode of UTRA Network

2003

In this article we consider the performance of the 3.84 Mcps time-division duplex (TDD) mode of UTRA (Universal Terrestrial Radio Access) network. We emphasize two of the radio resource management algorithms, handover and uplink power control, whose role in the overall system performance is studied extensively. First, a handover algorithm used in WCDMA (Wideband Code Division Multiple Access) standard is considered in a TDD-mode operation. This gives rise to a careful setting of different handover parameters, and the evaluation of the effects to the system performance. Secondly, the specified uplink power control algorithm is considered. Since it is based on several user-made measurements w…

HandoverUplink power controlbusiness.industryComputer scienceW-CDMAComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSDuplex (telecommunications)Electrical and Electronic EngineeringRadio resource managementbusinessComputer Science ApplicationsComputer networkPower controlWireless Personal Communications
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Reference density trends in the major disciplines

2018

Abstract The aim of this study was to determine whether different areas of knowledge presented different behaviour with regard to the number of references cited per journal document or if, conversely, they shared the same reference density practices. Bibliometric and bibliographic data were collected from 27,141 journals (indexed between 2001 and 2015 in the SCImago Journal & Country Rank (SJR)) and the growth rates in reference density and number of documents and journals in each category were calculated at different levels of aggregation. Our analysis identified that (a) mean reference density values in some Social Sciences and Arts and Humanities categories were equal to or higher than t…

Hard and soft science05 social sciencesStatisticsRank (computer programming)0509 other social sciencesLibrary and Information Sciences050905 science studies050904 information & library sciencesAffect (psychology)Citation frequencyThe artsComputer Science ApplicationsMathematicsJournal of Informetrics
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A fog-assisted system to defend against Sybils in vehicular crowdsourcing

2022

Technological advancements in vehicular transportation systems have led to the growth of novel paradigms, in which vehicles and infrastructures collaborate to infer high-level knowledge about phenomena of interest. Vehicular Social Network (VSN) is one such paradigm in which vehicular network entities are considered as part of an Online Social Network (OSN), paving the way for new services derived from social context. Although vehicular crowdsourcing has tremendous benefits, its deployment in real systems requires to solve important challenges including defense against Sybil attacks. This paper proposes a novel fog-assisted system that uses SybilDriver to minimize the presence of Sybil enti…

Hardware and ArchitectureComputer Networks and CommunicationsSybil detectionCrowdsourcingFog computingTruthfulnessSoftwareComputer Science ApplicationsInformation SystemsVehicular Social Network
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Spectrum cartography techniques, challenges, opportunities, and applications: A survey

2021

The spectrum cartography finds applications in several areas such as cognitive radios, spectrum aware communications, machine-type communications, Internet of Things, connected vehicles, wireless sensor networks, and radio frequency management systems, etc. This paper presents a survey on state-of-the-art of spectrum cartography techniques for the construction of various radio environment maps (REMs). Following a brief overview on spectrum cartography, various techniques considered to construct the REMs such as channel gain map, power spectral density map, power map, spectrum map, power propagation map, radio frequency map, and interference map are reviewed. In this paper, we compare the pe…

Hardware and ArchitectureComputer Networks and CommunicationsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550SoftwareComputer Science ApplicationsInformation Systems
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