BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Sydney BEGIN:DAYLIGHT DTSTART:20221002T030000 TZOFFSETFROM:+1000 TZOFFSETTO:+1100 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20230402T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221130T113045Z UID:9017B3EC-BCEF-4962-A158-9D7C69FAF7F4 DTSTART;TZID=Australia/Sydney:20221130T153000 DTEND;TZID=Australia/Sydney:20221130T163000 DESCRIPTION:The complete and efficient management of the data lifecycle in smart cities is a technological and political challenge that must be appro ached from different points of view. From the massive ingestion of data fr om heterogeneous wireless sensors to its transformation into knowledge and its subsequent exploitation by municipal authorities and technicians\, th ere is a laborious effort of normalization\, standardization\, interoperab ility\, storage and exploitation of the collected data. Sensors play a dec isive role in this value chain and their design\, configuration and operat ion determine many of the capabilities that city platforms provide to thei r users. This talk presents some of the lessons learned and good practices identified during the development of the STARDUST project in the city of Pamplona.\n\nSensors are the foundation of the operation of smart and cogn itive cities. Data acquired from sensors must be collected\, processed and stored in order to transform it\, first into information\, and then into knowledge. Smart and cognitive cities employ sensors to measure a large nu mber of parameters\, which later allow obtaining the KPIs with which to un derstand the state of the city\, the degree of compliance with energy\, su stainability\, mobility and pollution policies.\n\nGiven that the sensors are very heterogeneous\, both in terms of measurement capabilities and in terms of storage and communication\, it is necessary to have adequate mech anisms for interaction between these sensors and the city platforms. The c ity platform ensures the correct ingestion of the data provided by the sen sors\, while offering valuable context information that allows crossing di fferent sources and thus transforming the data into information.\n\nSome p ractical experiences that are being developed from the point of view of mu ltiparameter optical sensors applied to smart cities will be presented. Th ese experiences are carried out in the framework of a global smart city st rategy developed by the H2020 Smart City Lighthouse STARDUST project.\n\nC o-sponsored by: Prof. Subhas Mukhopadhyay\n\nSpeaker(s): Prof. Ignacio Mat ias\, \n\nRoom: 401\, Bldg: UTS Building 11\, CB11.00.401\, Sydney\, New S outh Wales\, Australia\, 2007 LOCATION:Room: 401\, Bldg: UTS Building 11\, CB11.00.401\, Sydney\, New Sou th Wales\, Australia\, 2007 ORGANIZER:Subhas.Mukhopadhyay@mq.edu.au SEQUENCE:1 SUMMARY:Complete data lifecycle management in smart cities: from sensor to knowledge and some novel optical sensors approach: The STARDUST experience . URL;VALUE=URI:https://events.vtools.ieee.org/m/330717 X-ALT-DESC:Description: <br /><p>The complete and efficient management of t he data lifecycle in smart cities is a technological and political challen ge that must be approached from different points of view. From the massive ingestion of data from heterogeneous wireless sensors to its transformati on into knowledge and its subsequent exploitation by municipal authorities and technicians\, there is a laborious effort of normalization\, standard ization\, interoperability\, storage and exploitation of the collected dat a. Sensors play a decisive role in this value chain and their design\, con figuration and operation determine many of the capabilities that city plat forms provide to their users. This talk presents some of the lessons learn ed and good practices identified during the development of the STARDUST pr oject in the city of Pamplona.</p>\n<p>Sensors are the foundation of the o peration of smart and cognitive cities. Data acquired from sensors must be collected\, processed and stored in order to transform it\, first into in formation\, and then into knowledge. Smart and cognitive cities employ sen sors to measure a large number of parameters\, which later allow obtaining the KPIs with which to understand the state of the city\, the degree of c ompliance with energy\, sustainability\, mobility and pollution policies.< /p>\n<p>Given that the sensors are very heterogeneous\, both in terms of m easurement capabilities and in terms of storage and communication\, it is necessary to have adequate mechanisms for interaction between these sensor s and the city platforms. The city platform ensures the correct ingestion of the data provided by the sensors\, while offering valuable context info rmation that allows crossing different sources and thus transforming the d ata into information.</p>\n<p>Some practical experiences that are being de veloped from the point of view of multiparameter optical sensors applied t o smart cities will be presented. These experiences are carried out in the framework of a global smart city strategy developed by the H2020 Smart Ci ty Lighthouse STARDUST project.</p> END:VEVENT END:VCALENDAR