Search results for "computing"

showing 10 items of 25279 documents

A Method Based on Multi-source Feature Detection for Counting People in Crowded Areas

2019

We propose a crowd counting method for multisource feature fusion. Image features are extracted from multiple sources, and the population is estimated by image feature extraction and texture feature analysis, along with for crowd image edge detection. We count people in high-density still images. For instance, in the city’s squares, sports fields, subway stations, etc. Our approach uses a still image taken by a camera on a drone to appraise the count in the population density image, using a kind of sources of information: HOG, LBP, CANNY. We furnish separate estimates of counts and other statistical measurements through several types of sources. Support vector machine SVM, classification an…

education.field_of_studyWarning systembusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRegression analysisPattern recognitionImage (mathematics)Support vector machineArtificial intelligencebusinesseducationMulti-sourceFeature detection (computer vision)2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP)
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Population as the body of society

2021

International audience

education.field_of_study[SHS.SOCIO]Humanities and Social Sciences/SociologyGeography[SHS.SOCIO] Humanities and Social Sciences/SociologyPopulationeducationComputingMilieux_MISCELLANEOUSDemography
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Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination

2015

This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…

education.field_of_studybusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionConvolutional neural networkLidarData visualizationDiscriminative modelRGB color modelComputer visionArtificial intelligencebusinesseducationCluster analysis2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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0132: Identifying familial hypercholesterolemia from registries of patients with acute myocardial infarction: an algorithm-based approach

2016

Background and aims Familial hypercholesterolemia (FH) is at very high risk of early myocardial infarction (MI). The prevalence of FH, which is estimated to be at least 1:500 in the general population, remains unclear in patients with acute MI. From databases of 2 French regional and nationwide registries of acute MI (RICO and FAST-MI, respectively), we aimed to determine FH prevalence by developing a specific algorithm. Methods and results Consecutive patients with AMI ≤48 hours of onset included 1) in FAST-MI: during a one-month period in 213 institutions at the end of 2005 and 2) in RICO: from January 2001 December 2013 (≈13y), were considered in the 2 databases. The algorithm was adapte…

education.field_of_studybusiness.industryVascular diseasePopulationFamilial hypercholesterolemiaFamilial hypercholesterolemia030204 cardiovascular system & hematology[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemmedicine.disease03 medical and health sciencesMyocardial infarction0302 clinical medicine[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemMedicineIn patient030212 general & internal medicineMyocardial infarctionLipid loweringFamily historyCardiology and Cardiovascular MedicinebusinesseducationAlgorithmLipid clinicComputingMilieux_MISCELLANEOUS
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Using Social Simulations in Interdisciplinary Primary Education: An Expert Appraisal

2020

Many people recognize that teaching basic skills in primary schools (reading, writing, and arithmetic) is no longer sufficient for pupils in the digital age. Therefore, governments now increasingly ask schools to add other skills (oral, digital) and to create connections between subjects (e.g., use mathematics in history lessons). In this study, we explored how social simulations can be used in primary education to meet these new goals. We conducted an expert appraisal (a qualitative Delphi method) with four experts specializing in innovating primary education. We selected three simulations that were freely available on the web, relevant for pupils’ lives and had a limited number of paramet…

education.field_of_studymedia_common.quotation_subjectPopulationPrimary educationAppealDelphi methodBasic skillsGossipReading (process)ComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationeducationAffordancemedia_common
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Reconciliation of Pedagogical Objectives, Technical Opportunities and Stereotypes of Educational Application : Case Perioperative Nursing

2014

In the design of educational applications, expertise in several fields is needed: pedagogy, technology and interaction design, among others. Since the aim of an educational application is to promote learning, there should be a clear hierarchy in the perspectives: pedagogical objectives should be the primary perspective, while others play merely an instrumental role. However, it appears that pedagogy is rarely seen as a separate area of expertise. Learning is considered a mundane concept that most people understand. This setting may cause conflicts within a design group. In this paper we present a typical case study, in which pedagogical expertise was overlooked. The resulting application wa…

educational applicationseducationnursingkoulutusteknologiaComputingMilieux_COMPUTERSANDEDUCATIONteknologia
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Enhancing Children’s Outdoor Learning Experiences with a Mobile Application

2015

This paper examines how a mobile learning application can enhance children’s outdoor learning experiences. The study draws upon empirical evidence gathered in one case study conducted in a Finnish primary school setting in the fall of 2012. The data were collected with student and teacher surveys. The case study indicated that the mobile application provided children with tangible, motivating, and educative experiences. The mobile application also clearly encouraged social interaction. In addition, the case study highlighted the significance of pedagogy. Thus the appropriate way to utilize mobile applications in an educational context requires a balance in which the technology use is comple…

educational contextmobiilioppiminenComputingMilieux_COMPUTERSANDEDUCATIONoutdoor learningmobile applications
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Robomaths: Robotics to Learn Matematics in a Architecture Degree

2020

The abstract part of mathematics is a difficult matter included in many subjects in university degrees. Specifically, in architecture degrees students lack interest in this topic if they don’t experience its immediate application. In addition, technological skills are required at every educational level and the students of these degrees are usually more interested in art than in technology. With the aim of encouraging architecture students' interest in mathematics and technology, a methodology is presented here that includes the use of robotics in maths lectures. The key idea is to make the abstract part of mathematics understandable by means of robots.

educational roboticsmobile robotsComputingMilieux_COMPUTERSANDEDUCATIONstrategic innovationgamificationsustainabilityMathematics
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Enhancing social and health care educators’ competence in digital pedagogy: A pilot study of educational intervention

2021

The purpose of this pilot study was to explore connection of an educational intervention on the competence of health care educators and educator candidates (n=11) in digital pedagogy as a part of national TerOpe project. An educational intervention, Basics of Digital Pedagogy was developed by the TerOpe project’s experts. The participating educators and educator candidates of the educational intervention were recruited from the universities and university of applied sciences, which were involved in TerOpe project. All the participants of the educational interventions were invited to take part in this study. The educational intervention was conducted during spring 2019. Pre- and post-tests w…

educator candidateeducators (upbringing)Computer applications to medicine. Medical informaticsR858-859.7Tieteelliset artikkelit / Scientific papersdigital competencehealth care [http://www.yso.fi/onto/yso/p2641]educational personnelterveysalaIntervention (counseling)Health carePedagogyComputingMilieux_COMPUTERSANDEDUCATIONContinuous educationDigital resourcestäydennyskoulutuspilotointiopettajankoulutusCompetence (human resources)Digital competenceeducationdigital pedagogybusiness.industrydelivery of health carecontinuous educationopettajathealth careverkkopedagogiikkakompetenssisosiaalialacontinuingeducators (upbringing) [http://www.yso.fi/onto/yso/p25974]Public aspects of medicineRA1-1270Educational interventionsPsychologybusinessFinnish Journal of eHealth and eWelfare
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The effect of soft-skills on French graduate pay

2017

International audience

effect[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Education[ SHS.EDU ] Humanities and Social Sciences/EducationFranceComputingMilieux_MISCELLANEOUSsoft-skillspay : graduate
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