Search results for "PEN"

showing 10 items of 17730 documents

Open-ended projects opened up — aspects of openness

2017

Abstract—One of the most important areas of competence for professional engineers is the ability to function well in project work, in particular they need to be able to efficiently solve open-ended problems in different collaborative settings. The development of this ability is however not prominent in engineering education despite numerous authors suggesting openended problems as a pedagogical tool to promote development of collaborative problem solving competence by including elements of group or project work in courses. In our own long experience of using open-ended problems in collaborative student projects, we have identified a lack of systematic progression in learning outcomes and sk…

ta113Knowledge managementComputer sciencebusiness.industry05 social sciencesengineering education050301 educationprofessional competenciesprojektityöEngineering educationCollaborative Problem SolvingOpenness to experienceopen-ended problemsta5160501 psychology and cognitive sciencesprogressionbusinessproject work0503 educationCompetence (human resources)050104 developmental & child psychology2017 IEEE Frontiers in Education Conference (FIE)
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Open Resources as the Educational Basis for a Bachelor-level Project-Based Course

2015

This article presents an innovation-based course concept for project-based learning. In this course, student groups are asked to ideate and implement a software product based on Open Data and Open API releases. By emphasizing students’ own product ideation, the course requires and enhances self-directed learning skills and prompts the students to see the unlimited possibilities in becoming and being a practitioner of the computing discipline. Relatedly, the course provides a tool to improve student self-efficacy, as the students, coached through challenges, come to know that they are able to produce software using various open interfaces.

ta113Knowledge managementComputer sciencebusiness.industrymedia_common.quotation_subjectCreativityBachelorOpen APICourse (navigation)Open dataSoftwareOpen APIProject basedOpen Dataproject-basedComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationta516Product (category theory)innovation abilitybusinesscreativitymedia_common
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Understanding Social OER Environments—A Quantitative Study on Factors Influencing the Motivation to Share and Collaborate

2014

Social software environments are increasingly used for open education: teachers and learners share and collaborate in these environments. While there are various possibilities for the inclusion of such social functionalities for OER, many organizational, individual and technological challenges can hinder the motivation of teachers to share and collaborate in these environments. Current research cannot explain what barriers teachers face in social OER environments and how those challenges influence their motivation to engage in such environments. An exploratory factor analysis was used in the context of schools and higher education institutions to investigate the possible barriers to engagin…

ta113Knowledge managementHigher educationComputer sciencebusiness.industrySocial softwareGeneral EngineeringContext (language use)computer.software_genreExploratory factor analysisComputer Science ApplicationsEducationKnowledge sharingOpen educationta516Social mediabusinessInclusion (education)computerIEEE Transactions on Learning Technologies
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Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data

2015

An extension of group independent component analysis (GICA) is introduced, where multi-set canonical correlation analysis (MCCA) is combined with principal component analysis (PCA) for three-stage dimension reduction. The method is applied on naturalistic functional MRI (fMRI) images acquired during task-free continuous music listening experiment, and the results are compared with the outcome of the conventional GICA. The extended GICA resulted slightly faster ICA convergence and, more interestingly, extracted more stimulus-related components than its conventional counterpart. Therefore, we think the extension is beneficial enhancement for GICA, especially when applied to challenging fMRI d…

ta113MultisetPCAGroup (mathematics)business.industrydimension reductionSpeech recognitionDimensionality reductionPattern recognitionMusic listeningta3112naturalistic fMRIGroup independent component analysisPrincipal component analysistemporal cocatenationArtificial intelligenceCanonical correlationbusinessmultiset CCAMathematics
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Potku – New analysis software for heavy ion elastic recoil detection analysis

2014

Time-of-flight elastic recoil detection (ToF-ERD) analysis software has been developed. The software combines a Python-language graphical front-end with a C code computing back-end in a user-friendly way. The software uses a list of coincident time-of- flight–energy (ToF–E) events as an input. The ToF calibration can be determined with a simple graphical procedure. The graphical interface allows the user to select different elements and isotopes from a ToF–E histogram and to convert the selections to individual elemental energy and depth profiles. The resulting sample composition can be presented as relative or absolute concentrations by integrating the depth profiles over user-defined rang…

ta113Nuclear and High Energy PhysicsIon beam analysista114business.industryComputer scienceEvent (computing)Reference data (financial markets)ion beam analysisERDelastic recoil detectionComputational scienceTOF-ERDElastic recoil detectionSoftwareCoincidentHistogramgraphical open source softwarebusinessInstrumentationGraphical user interfaceNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Can back-projection fully resolve polarity indeterminacy of independent component analysis in study of event-related potential?

2011

a b s t r a c t In the study of event-related potentials (ERPs) using independent component analysis (ICA), it is a traditional way to project the extracted ERP component back to electrodes for correcting its scaling (magnitude and polarity) indeterminacy. However, ICA tends to be locally optimized in practice, and then, the back-projection of a component estimated by the ICA can possibly not fully correct its polarity at every electrode. We demonstrate this phenomenon from the view of the theoretical analysis and numerical simulations and suggest checking and modifying the abnormal polarity of the projected component in the electrode field before further analysis. Moreover, when several co…

ta113Theoretical computer scienceComputer sciencePolarity (physics)Parallel projectionHealth InformaticsIndependent component analysisComponent (UML)Signal ProcessingPoint (geometry)Projection (set theory)Global optimizationScalingAlgorithmBiomedical Signal Processing and Control
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Cognitive self-healing system for future mobile networks

2015

This paper introduces a framework and implementation of a cognitive self-healing system for fault detection and compensation in future mobile networks. Performance monitoring for failure identification is based on anomaly analysis, which is a combination of the nearest neighbor anomaly scoring and statistical profiling. Case-based reasoning algorithm is used for cognitive self-healing of the detected faulty cells. Validation environment is Long Term Evolution (LTE) mobile system simulated with Network Simulator 3 (ns-3) [1, 2]. Results demonstrate that cognitive approach is efficient for compensation of cell outages and is capable to improve network coverage. Anomaly analysis can be used fo…

ta113cognitionta213Performance managementComputer sciencebusiness.industryDistributed computingCognitiondata miningcomputer.software_genreAutomationanomaly detectionFault detection and isolation5G networksNetwork simulationcompensationcell outageRobustness (computer science)self-healingAnomaly detectionData miningbusinesscomputer5G2015 International Wireless Communications and Mobile Computing Conference (IWCMC)
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Biased graph walks for RDF graph embeddings

2017

Knowledge Graphs have been recognized as a valuable source for background information in many data mining, information retrieval, natural language processing, and knowledge extraction tasks. However, obtaining a suitable feature vector representation from RDF graphs is a challenging task. In this paper, we extend the RDF2Vec approach, which leverages language modeling techniques for unsupervised feature extraction from sequences of entities. We generate sequences by exploiting local information from graph substructures, harvested by graph walks, and learn latent numerical representations of entities in RDF graphs. We extend the way we compute feature vector representations by comparing twel…

ta113graph embeddingsGraph kernelComputer scienceVoltage graphComparability graphdata mining02 engineering and technologycomputer.software_genre020204 information systemsyhdistetty avoin tietolinked open data0202 electrical engineering electronic engineering information engineeringTopological graph theoryGraph (abstract data type)020201 artificial intelligence & image processingData miningtiedonlouhintaGraph propertyNull graphLattice graphavoin tietocomputerProceedings of the 7th International Conference on Web Intelligence, Mining and Semantics
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Semantic Portal as a Tool for Structural Reform of the Ukrainian Educational System

2014

Education is recognized as a fundamental enabler of human development. The adoption of information and communications technologies (ICTs) by education (especially in developing countries) contributes to educational system reforms, in addition to the traditional advantages, such as social openness and accessibility. Yet the academic community has not studied sufficiently the challenging context in which ICTs are used as instruments for the reform of inefficient, and sometimes even corrupted, educational systems rather than just as means for smarter classrooms, remote access, or content management. The object of this study is Ukrainian higher education (HE) and its quality assurance (QA) syst…

ta113laadunvarmistusKnowledge managementPublic AdministrationHigher educationbusiness.industryquality assuranceDevelopmentHuman development (humanity)Computer Science ApplicationsDigital ecosystemhuman developmentInformation and Communications Technologyhigher educationEnablingOpenness to experiencesemantic portalUkrainebusinessQuality assuranceContent managementInformation Technology for Development
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Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection

2011

To high-density electroencephalography (EEG) recordings, determining the number of sources to separate the signal and the noise subspace is very important. A mostly used criterion is that percentage of variance of raw data explained by the selected principal components composing the signal space should be over 90%. Recently, a model order selection method named as GAP has been proposed. We investigated the two methods by performing independent component analysis (ICA) on the estimated signal subspace, assuming the number of selected principal components composing the signal subspace is equal to the number of sources of brain activities. Through examining wavelet-filtered EEG recordings (128…

ta113medicine.diagnostic_testNoise (signal processing)business.industryPattern recognitionElectroencephalographyExplained variationIndependent component analysisSignalPrincipal component analysismedicineArtificial intelligencebusinessSubspace topologyMathematicsSignal subspace2011 IEEE International Workshop on Machine Learning for Signal Processing
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