Search results for "MeaNS"

showing 10 items of 124 documents

K-means Clustering to Study How Student Reasoning Lines Can Be Modified by a Learning Activity Based on Feynman’s Unifying Approach

2017

Background:Research in Science Education has shown that often students need to learn how to identify differences and similarities between descriptive and explicative models. The development and use of explicative skills in the field of thermal science has always been a difficult objective to reach. A way to develop analogical reasoning is to use in Science Education unifying conceptual frameworks.Material and methods:A questionnaire containing six open-ended questions on thermally activated phenomena was administered to the students before instruction. A second one, similar but focused on different physical content was administered after instruction. Responses were analysed using k-means Cl…

Analogical reasoningScience instructionMechanism (biology)Computer scienceLogical reasoningBoltzmann Factor evaluation quantitative data analysis in education k-means clustering thermally-activated phenomenaSettore FIS/08 - Didattica E Storia Della FisicaApplied Mathematics05 social sciencesk-means clustering050301 educationScience educationField (computer science)Educationsymbols.namesake0502 economics and businesssymbolsMathematics educationFeynman diagram0503 education050203 business & managementEURASIA Journal of Mathematics, Science and Technology Education
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Normal and Abnormal Tissue Classification in Positron Emission Tomography Oncological Studies

2018

Positron Emission Tomography (PET) imaging is increasingly used in radiotherapy environment as well as for staging and assessing treatment response. The ability to classify PET tissues, as normal versus abnormal tissues, is crucial for medical analysis and interpretation. For this reason, a system for classifying PET area is implemented and validated. The proposed classification is carried out using k-nearest neighbor (KNN) method with the stratified K-Fold Cross-Validation strategy to enhance the classifier reliability. A dataset of eighty oncological patients are collected for system training and validation. For every patient, lesion (abnormal tissue) and background (normal tissue around …

Treatment responsepositron emission tomographyK-nearest neighborKernel support vector machineComputer scienceNormal tissueK-Fold cross-validation030218 nuclear medicine & medical imagingk-nearest neighbors algorithmLesion03 medical and health sciences0302 clinical medicinetissue classificationmedicineRadiation treatment planningFuzzy C-Mean1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryPattern recognitionComputer Graphics and Computer-Aided DesignPredictive valueSupport vector machineFuzzy C-MeansPositron emission tomography030220 oncology & carcinogenesisComputer Vision and Pattern RecognitionArtificial intelligencemedicine.symptombusinessPattern Recognition and Image Analysis
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Los beneficios del mar: negocios e inversiones económicas de la oficialidad naval en el siglo XVIII

2019

Throughout the eighteenth century, the Spanish navy was extensively reformed and enhanced as a consequence of the new model of Monarchy that the Bourbons introduced. Among the measures adopted, it is remarkable the erection of the naval officers corps according to the needs and obligations that maritime war had in this century. This group becomes the paradigm of the new professionalization and new training approach, and its members had great relevance due to its great mobility around the empire and the power of the naval institution. This means that a part of the naval officers were placed in privileged positions and at the intersection of diverse political, social and economic networks. Th…

economic benefitsredes económicasnaval officersUNESCO::HISTORIAespecially their participation in the Cadiz trade. It can be concluded that the naval officers of the eighteenth century constituted a quite active economic group that looked for complementary forms of benefit beyond their salary as servants of the King and became essential nodes of the Atlantic economic framework of Spain. beneficios económicosand its members had great relevance due to its great mobility around the empire and the power of the naval institution. This means that a part of the naval officers were placed in privileged positions and at the intersection of diverse politicalinversioneseconomic networksPablo Throughout the eighteenth century18th century 117 138investmentsRevista de historia moderna 529735 2019 45 7107714 Los beneficios del mar: negocios e inversiones económicas de la oficialidad naval en el siglo XVIII Ortega del Cerro [0210-9093 553 Estudis]the Spanish navy was extensively reformed and enhanced as a consequence of the new model of Monarchy that the Bourbons introduced. Among the measures adopted0210-9093 553 Estudis: Revista de historia moderna 529735 2019 45 7107714 Los beneficios del mar: negocios e inversiones económicas de la oficialidad naval en el siglo XVIII Ortega del Cerrosocial and economic networks. This work aims to research this fact through the business and economic investments that these individuals undertook throughout the eighteenth centuryoficiales navales:HISTORIA [UNESCO]it is remarkable the erection of the naval officers corps according to the needs and obligations that maritime war had in this century. This group becomes the paradigm of the new professionalization and new training approachsiglo XVIII
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A hybrid algorithm for planning public charging stations

2014

International audience; Green mobility solutions are receiving currently an enormous attention. Indeed, during last years, electric vehicles, being part of the field of the smart-grid, entered the automobile market of the whole world. This technology requires an effective deployment of charging stations of electric refill since the main problem in this system remains over the duration of refill of the batteries. In this work, we propose an optimized algorithm to locate electric charging stations. The main task of the algorithm is to find the best site of charging stations locations so as to minimize loss on the way to the charging station, as well as minimize investment cost, we take into a…

OptimizationClustering algorithmsComputer science[SPI] Engineering Sciences [physics]Real-time computinggenetic optimizationSmart-Gridk-means clustringGenetic algorithmsHybrid algorithmCharging stationCharging stations[SPI]Engineering Sciences [physics]Smart gridMathematical modelWork (electrical)Software deploymentHardware_GENERALGenetic algorithmGeneticsDuration (project management)InvestmentCluster analysisSimulationelectric vehicles
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Cluster-based RF fingerprint positioning using LTE and WLAN signal strengths

2017

Wireless Local Area Network (WLAN) positioning has become a popular localization system due to its low-cost installation and widespread availability of WLAN access points. Traditional grid-based radio frequency (RF) fingerprinting (GRFF) suffers from two drawbacks. First it requires costly and non-efficient data collection and updating procedure; secondly the method goes through time-consuming data pre-processing before it outputs user position. This paper proposes Cluster-based RF Fingerprinting (CRFF) to overcome these limitations by using modified Minimization of Drive Tests data which can be autonomously collected by cellular operators from their subscribers. The effect of environmental…

Computer Networks and CommunicationsComputer scienceReal-time computingK-means clustering02 engineering and technologySignallaw.inventionK-nearest neighbors0203 mechanical engineeringlaw0202 electrical engineering electronic engineering information engineeringfuzzy C-means clusteringWi-FiElectrical and Electronic EngineeringData collectionbusiness.industryFingerprint (computing)k-means clusteringRF fingerprint positioning020206 networking & telecommunications020302 automobile design & engineeringGridHardware and ArchitectureEmbedded systemMinificationRadio frequencybusinesshierarchical clustering
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Pattern Classification from Multi-beam Acoustic Data Acquired in Kongsfjorden

2021

Climate change is causing a structural change in Arctic ecosystems, decreasing the effectiveness that the polar regions have in cooling water masses, with inevitable repercussions on the climate and with an impact on marine biodiversity. The Svalbard islands under study are an area greatly influenced by Atlantic waters. This area is undergoing changes that are modifying the composition and distribution of the species present. The aim of this work is to provide a method for the classification of acoustic patterns acquired in the Kongsfjorden, Svalbard, Arctic Circle using multibeam technology. Therefore the general objective is the implementation of a methodology useful for identifying the a…

geographygeography.geographical_feature_categorybusiness.industryMultibeamk-meansk-means clusteringClimate changeGlacierShoaling and schoolingSettore MAT/01 - Logica MatematicaData setWater columnEcho-surveyPolarPhysical geographyArtificial intelligenceCluster analysisbusinessGeology
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Using anatomic and metabolic imaging in stereotactic radio neuro-surgery treatments

2016

PET/MR imagingmedicine.medical_specialtyNeuro-radiosurgerybusiness.industryMetabolic imagingBiophysicsGeneral Physics and AstronomyGeneral MedicineRandom Walker algorithmFuzzy C-Means clustering030218 nuclear medicine & medical imagingBrain tumor03 medical and health sciences0302 clinical medicineRandom walker algorithm030220 oncology & carcinogenesismedicineRadiology Nuclear Medicine and imagingNeurosurgeryRadiologyPet mr imagingbusinessNuclear medicine
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Wykorzystanie środków unijnych w obszarze edukacji w województwie opolskim w latach 2004 - 2015. Wybrane problemy

2017

Korzystanie przez Polskę ze środków unijnych bywa kontestowane. Wydaje się konieczna i rzetelna ocena w różnych obszarach naszego życia społecznego, zwłaszcza w edukacji, zakresu i sposobu ich wykorzystania. Środki unijne w dużym stopniu wsparły różne działania. Jednak od nas samych zależy na co je wykorzystamy i jak je spożytkujemy. Badania przeprowadzone na terenie województwa opolskiego i gmin z województw sąsiednich pozwalają na stwierdzenie, że środki te przyczyniły się do aktywizacji nauczycieli, dyrekcji szkół, gmin, placówek edukacyjnych w pozyskiwaniu środków na działania podnoszące poziom wiedzy i umiejętności uczniów. Z przeprowadzonych badań wynika, że środki pozyskane za sprawą…

educationEU projectsbenefits of participation in EU projectskorzyści z udziału w projektach UEśrodki finansowe EUedukacjaprojekty unijnefinancial means from the EU
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Komentarz do art. 26 -29, 35, 37 i 40 ustawy z dnia 24 maja 2013 r. o środkach przymusu bezpośredniego i broni palnej - uprawnienia funkcjonariuszy S…

2017

W niniejszym artykule podjęto problematykę uprawnień Służby Więziennej w zakresie stosowania środków przymusu bezpośredniego i broni palnej w oparciu o przepisy ustawy z 2013 r., która ujednoliciła zasady dotyczące wszystkich uprawnionych organów. Autor dokonał komentarza do przepisów tej ustawy analizując kolejno zagadnienia związane z umieszczeniem skazanego w celi zabezpieczającej, umieszczenia nieletniego w celi izolacyjnej, umieszczenia w pokoju izolacyjnym cudzoziemca przebywającego w strzeżonym ośrodku a także kwestie dotyczące postępowania w razie zranienia osoby w związku ze stosowanymi środkami przymusu bezpośredniego i bronią palną.

firearmsbroń palnaSłużba WięziennaMeans of coercionśrodki przymusu bezpośredniegoprison serviceHoryzonty Bezpieczeństwa
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Automated prostate gland segmentation based on an unsupervised fuzzy C-means clustering technique using multispectral T1w and T2w MR imaging

2017

Prostate imaging analysis is difficult in diagnosis, therapy, and staging of prostate cancer. In clinical practice, Magnetic Resonance Imaging (MRI) is increasingly used thanks to its morphologic and functional capabilities. However, manual detection and delineation of prostate gland on multispectral MRI data is currently a time-expensive and operator-dependent procedure. Efficient computer-assisted segmentation approaches are not yet able to address these issues, but rather have the potential to do so. In this paper, a novel automatic prostate MR image segmentation method based on the Fuzzy C-Means (FCM) clustering algorithm, which enables multispectral T1-weighted (T1w) and T2-weighted (T…

Computer scienceAutomated segmentation; Fuzzy C-Means clustering; Multispectral MR imaging; Prostate cancer; Prostate gland; Unsupervised machine learningMultispectral image02 engineering and technologyautomated segmentation; multispectral MR imaging; prostate gland; prostate cancer; unsupervised Machine Learning; Fuzzy C-Means clustering030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstate0202 electrical engineering electronic engineering information engineeringmedicineComputer visionSegmentationautomated segmentationunsupervised Machine LearningCluster analysisSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryINF/01 - INFORMATICAMagnetic resonance imagingmedicine.diseaseprostate cancerFuzzy C-Means clusteringmultispectral MR imagingmedicine.anatomical_structureUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusinessprostate glandInformation SystemsMultispectral segmentation
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