DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorXanthopoulos, Theodoros-
dc.contributor.authorKytagias, Christos-
dc.contributor.authorPsaromiligkos, Ioannis (Yannis)-
dc.date.accessioned2024-03-27T14:22:11Z-
dc.date.available2024-03-27T14:22:11Z-
dc.date.issued2020-11-20-
dc.identifierscopus-85102386234-
dc.identifier.isbn9781450388979-
dc.identifier.other85102386234-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1634-
dc.description.abstractSmart Cities is the future of human habitation, which is evangelized by the Internet of Things (IoT) technology. We study the municipality of Papagos, which is located in the Smart City of Athens, Greece. In Papagos is developed a technical infrastructure, which enable citizens to act as human sensors by exploiting their smartphones to report malfunctions in the municipality infrastructure. Using Citify software app municipality problematic situations annotated and submitted to the system for further processing exploiting crowdsourcing and crowdsensing technology. When a report arrives to the municipality control center the system allocates certain department to serve the problem. Since incidents are served by a certain number of departments with limited resources, the early planning and allocation of a department's resources before the incident emerges is significant. To handle such situations, we incorporate an inference engine model, which is based on a Long Short-Term Memory (LSTM) Neural Network to learn stochastically examples of incidence occurrence. Based on the LSTM classification model the proposed system is able to predict a similar event in the future thus allocates efficiently a municipality department resource before the problem emerges.en_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation.ispartofProceedings of the 24th Pan-Hellenic Conference on Informatics (PCI 2020)en_US
dc.subjectCrowdsourcingen_US
dc.subjectCrowdsensingen_US
dc.subjectEdge mobile applicationsen_US
dc.subjectStochastic predictionen_US
dc.subjectLSTMen_US
dc.subjectMunicipality departmenten_US
dc.subjectResource allocationen_US
dc.titleA smartphone-enabled crowdsensing and crowdsourcing system for predicting municipality resource allocation stochastic requirementsen_US
dc.typeConference Paperen_US
dc.relation.conference24th Pan-Hellenic Conference on Informatics (PCI 2020), 20-22 November 2020, Athens, Greeceen_US
dc.identifier.doi10.1145/3437120.3437330en_US
dc.identifier.scopus2-s2.0-85102386234-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage305en_US
dc.identifier.epage310en_US
dc.linkhttps://www.researchgate.net/publication/348325889_A_smartphone-enabled_crowdsensing_and_crowdsourcing_system_for_predicting_municipality_resource_allocation_stochastic_requirementsen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.orcid0000-0001-6037-0036-
crisitem.author.orcid0000-0002-8420-8663-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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