Search results for "mobile device"

showing 10 items of 144 documents

Learning Research Methods and Processes via Sharing Experience in a BLOG

2006

The goal is to increase knowledge about different research methods that have been employed in the information technology field by supporting the information exchange, collaboration, and cooperation between researchers. Well-designed, well-told stories can help others learn from past situations to respond more effectively in future situation. A blog is presented where PhD students and researchers are invited to collaborate by providing their stories, reading and commenting existing stories. This infrastructure allows researchers and PhD students to write the contents posing questions and finding answers on the relationship between research process and research results.

Computer sciencebusiness.industrymedia_common.quotation_subjectInformation technologyE-learningResearch processField (computer science)mobile learningWorld Wide WebReading (process)Mobile devicesInformation systemThe InternetbusinessPhd studentsInformation exchangeExperience sharing; PhD research courses; Research methods; Storytelling;media_common
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Evaluation of Ensemble Machine Learning Methods in Mobile Threat Detection

2017

The rapid growing trend of mobile devices continues to soar causing massive increase in cyber security threats. Most pervasive threats include ransom-ware, banking malware, premium SMS fraud. The solitary hackers use tailored techniques to avoid detection by the traditional antivirus. The emerging need is to detect these threats by any flow-based network solution. Therefore, we propose and evaluate a network based model which uses ensemble Machine Learning (ML) methods in order to identify the mobile threats, by analyzing the network flows of the malware communication. The ensemble ML methods not only protect over-fitting of the model but also cope with the issues related to the changing be…

Computer scienceintrusion detection0211 other engineering and technologiesDecision tree02 engineering and technologycomputer.software_genreComputer securitymobiililaitteet0202 electrical engineering electronic engineering information engineeringsupervised machine learningSoarAndroid (operating system)tietoturvata113021110 strategic defence & security studiesta213business.industrymobile threatsensemble methods020206 networking & telecommunicationsFlow networkEnsemble learninganomaly detectionmachine learningkoneoppiminenMalwareThe InternetbusinesscomputerMobile device
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RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes

2015

Abstract Recommender systems are used to provide filtered information from a large amount of elements. They provide personalized recommendations on products or services to users. The recommendations are intended to provide interesting elements to users. Recommender systems can be developed using different techniques and algorithms where the selection of these techniques depends on the area in which they will be applied. This paper proposes a recommender system in the leisure domain, specifically in the movie showtimes domain. The system proposed is called RecomMetz, and it is a context-aware mobile recommender system based on Semantic Web technologies. In detail, a domain ontology primarily…

Context modelInformation retrievalComputer scienceGeneral EngineeringOntology (information science)Recommender systemComputer Science ApplicationsDomain (software engineering)World Wide WebSemantic similarityArtificial IntelligenceOntologyUser interfaceMobile deviceSemantic WebExpert Systems with Applications
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A Phenomenographic Research Study of Students’ Conceptions of Mobile Learning: An Example From Higher Education

2019

This article aims to identify different ways of using mobile devices in students’ learning in higher education. This qualitative research presents the findings from a phenomenographic research of students’ conceptions of mobile learning (m-learning) in higher education. A cohort of 16 students from four universities of Bangladesh took part in semi-structured interviews to explore their in-depth understandings and experiences of m-learning. The findings indicate that university students perceived five qualitatively different ways of using mobile devices in their learning: a medium for communication; a medium for management of learning materials; a tool for effective learning; a means for co…

Cooperative learningphenomenographyHigher educationpedagogical issuesElectronic learninglcsh:Social SciencesmobiilioppiminenConcept learninglcsh:AZ20-9990502 economics and businessComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationPhenomenographyopiskelijatbusiness.industryGeneral Arts and Humanities05 social sciences050301 educationGeneral Social Sciencesconceptionslcsh:History of scholarship and learning. The humanitieslcsh:Hpedagogiikkastudents learningkorkeakouluopiskelumobile learning (m-learning)fenomenografiaComputer-mediated communicationbusinessPsychology0503 educationMobile device050203 business & managementQualitative researchSAGE Open
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A Mobile Healthcare System for Sub-saharan Africa

2013

The disparity between healthcare systems in developed countries and underdeveloped countries is huge, particularly due to the fact that the healthcare infrastructure of former is based on a sophisticated technological infrastructure. Efforts are being made worldwide to bridge this disparity and make healthcare services affordable even to the most remote areas of undeveloped countries. Recent growth of mobile networks in underdeveloped countries argues for building mHealth systems and applications on their basis. However, peculiarities of the area introduce difficulties into potential use cases of mobile devices, thus making the copying of mHealth services from developed countries inapplicab…

CopyingSoftware deploymentbusiness.industryHealth careDeveloping countryUse caseFunctional requirementTelecommunicationsbusinessMobile devicemHealth
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Multimodal and Agent-Based Human–Computer Interaction in Cultural Heritage Applications: an Overview

2010

One of the most recent and interesting applications of human–computer interaction technologies is the provision of advanced information services within public places, such as cultural heritage sites or schools and university campuses. In such contexts, concurrent technologies used in smart mobile devices can be used to satisfy the mobility need of users allowing them to access relevant resources in a context-dependent manner. Of course, most of the constraints to be taken into account when designing a pervasive information providing system are given by the actual domain where they are deployed.

Cultural heritageHuman–computer interactionComputer scienceInformation systemAugmented realityMobile deviceMixed realityDomain (software engineering)
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Essential Enabling Technologies

2016

The previous chapter contained presentations of several relevant collaboration methods. Section 3.1 indicated that the evolution in e-collaboration was associated with a number of technological breakthroughs.

Decision support systemBiometric systemComputer sciencebusiness.industrySection (typography)020206 networking & telecommunicationsCloud computingmacromolecular substances02 engineering and technologyData sciencehumanitiesBusiness intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessMobile device
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Factors Affecting Mobile Diabetes Monitoring Adoption Among Physicians: Questionnaire Study and Path Model

2012

BackgroundPatients with type 1 and type 2 diabetes often find it difficult to control their blood glucose level on a daily basis because of distance or physical incapacity. With the increase in Internet-enabled smartphone use, this problem can be resolved by adopting a mobile diabetes monitoring system. Most existing studies have focused on patients’ usability perceptions, whereas little attention has been paid to physicians’ intentions to adopt this technology. ObjectiveThe aim of the study was to evaluate the perceptions and user acceptance of mobile diabetes monitoring among Japanese physicians. MethodsA questionnaire survey of physicians was conducted in Japan. The structured questionna…

Diabetes self-managementKnowledge managementmedia_common.quotation_subjectApplied psychologyMobile deviceHealth InformaticsContext (language use)lcsh:Computer applications to medicine. Medical informaticsHealth informaticsDiabetes mellitusJapanMobile diabetes monitoringBlood glucose self-monitoringSurveys and QuestionnairesHumansMedicineMobile technologyQuality (business)Mobile healthPath analysisMonitoring Physiologicmedia_commonInternetOriginal PaperService qualitybusiness.industrylcsh:Public aspects of medicineQuestionnaireInformation qualitylcsh:RA1-1270Models TheoreticalDiabetes Mellitus Type 1Diabetes Mellitus Type 2Mobile phoneCritical Pathwayslcsh:R858-859.7businessJournal of Medical Internet Research
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Mobile Devices as Tools for Media and Communication Research: A Scoping Review on Collecting Self-report Data in Repeated Measurement Designs

2020

Mobile devices are deeply embedded in people’s everyday lives. On the one hand, this opens up a new field for media and communication research. On the other hand, the widespread diffusion allows fo...

Diffusion (acoustics)0508 media and communicationsHuman–computer interactionComputer scienceCommunication05 social sciences050602 political science & public administration050801 communication & media studiesMobile deviceField (computer science)0506 political scienceCommunication Methods and Measures
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Reconsidering off-task: a comparative study of PDA-mediated activities in four classrooms

2010

Mobile technology is ubiquitous and diverse and permeates many aspects of daily life at home, during leisure activities, and in public spaces. The study presented here is of two sixth grade classes in Michigan, USA and two seventh grade classes in Norway. The students and the teachers in these four classrooms were equipped with mobile technologies (PDAs). We found that the students’ PDA-mediated actions in the classroom were not exclusively used for the tasks and activities set by the teacher, but that the students also used the PDAs on their own initiative – so-called ‘off-task’ activities. We analyze the findings by reconsidering off-task activities from a sociocultural perspective.

Educational technologyComputer Science ApplicationsEducationTask (project management)Sociocultural perspectivePedagogyComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationCross-culturalMobile technologyComparative educationPsychologySet (psychology)Mobile deviceJournal of Computer Assisted Learning
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