Complete data lifecycle management in smart cities: from sensor to knowledge and some novel optical sensors approach: The STARDUST experience.
The complete and efficient management of the data lifecycle in smart cities is a technological and political challenge that must be approached from different points of view. From the massive ingestion of data from heterogeneous wireless sensors to its transformation into knowledge and its subsequent exploitation by municipal authorities and technicians, there is a laborious effort of normalization, standardization, interoperability, storage and exploitation of the collected data. Sensors play a decisive role in this value chain and their design, configuration and operation determine many of the capabilities that city platforms provide to their 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.
Sensors are the foundation of the operation of smart and cognitive 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 number of parameters, which later allow obtaining the KPIs with which to understand the state of the city, the degree of compliance with energy, sustainability, mobility and pollution policies.
Given 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 mechanisms for interaction between these sensors and the city platforms. The city platform ensures the correct ingestion of the data provided by the sensors, while offering valuable context information that allows crossing different sources and thus transforming the data into information.
Some practical experiences that are being developed from the point of view of multiparameter optical sensors applied to smart cities will be presented. These experiences are carried out in the framework of a global smart city strategy developed by the H2020 Smart City Lighthouse STARDUST project.
Date and Time
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- Date: 30 Nov 2022
- Time: 03:30 PM to 04:30 PM
- All times are (UTC+11:00) Sydney
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- CB11.00.401
- Sydney, New South Wales
- Australia 2007
- Building: UTS Building 11
- Room Number: 401
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- Co-sponsored by Prof. Subhas Mukhopadhyay
Speakers
Prof. Ignacio Matias
Complete data lifecycle management in smart cities: from sensor to knowledge and some novel optical sensors approach: Th
The complete and efficient management of the data lifecycle in smart cities is a technological and political challenge that must be approached from different points of view. From the massive ingestion of data from heterogeneous wireless sensors to its transformation into knowledge and its subsequent exploitation by municipal authorities and technicians, there is a laborious effort of normalization, standardization, interoperability, storage and exploitation of the collected data. Sensors play a decisive role in this value chain and their design, configuration and operation determine many of the capabilities that city platforms provide to their 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.
Sensors are the foundation of the operation of smart and cognitive 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 number of parameters, which later allow obtaining the KPIs with which to understand the state of the city, the degree of compliance with energy, sustainability, mobility and pollution policies.
Given 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 mechanisms for interaction between these sensors and the city platforms. The city platform ensures the correct ingestion of the data provided by the sensors, while offering valuable context information that allows crossing different sources and thus transforming the data into information.
Some practical experiences that are being developed from the point of view of multiparameter optical sensors applied to smart cities will be presented. These experiences are carried out in the framework of a global smart city strategy developed by the H2020 Smart City Lighthouse STARDUST project.
Biography:
Biography: Ignacio R. Matias received the M.S. degree in Telecommunications Engineering and his Ph.D. degree in Telecommunications from the Polytechnic University of Madrid (UPM), Madrid, Spain, in 1992 and 1996, respectively. He is married with 4 children. In July 1996 Ignacio R. Matias received the UPM extraordinary prize to the best doctoral thesis of the year 1996-97. In 1998 he became Lecture in the Department of Electrical, Electronics and Communications Engineering (DIEEC) at the Public University of Navarra (UPNA); and from October 2006 he is Professor of DIEEC at UPNA.
Ignacio R. Matias has participated in more than 120 research projects with both public and private funding. As a result of these works he has obtained 16 patents and 6 copyrights. Regarding transfer to the industry, he has been founding partner of six spin-off companies. He has published more than 250 papers in international research journals high impact. In addition, we have been accepted about 275 works at international conferences of prestige (17 of which were invited). He also is the author of 7 books and 21 international scientific chapters in different books.
As for academic positions he has had, mentioning that he has been Deputy Director from 1999 to 2006 and Director from 2009 to September 2014 to the School of “Industrial, Computer Sciences and Telecommunications Engineering” at the Public University of Navarra. From 2014 to 2017, he has been the Director of the Research Institute of the Public University of Navarra, Institute of Smart Cities (ISC). In 2017 he became the TEC (electronic and communications technology) Coordinator of the AEI (Spanish Research Agency). Presently, he is the President of the Spanish Agency for Quality Assessment and Accreditation (ANECA) Claims Committee.
More details can be available at
https://scholar.google.com/citations?user=YhdlR68AAAAJ&hl=en