Explore the words cloud of the IoT4Win project. It provides you a very rough idea of what is the project "IoT4Win" about.
The following table provides information about the project.
BIRMINGHAM CITY UNIVERSITY
|Coordinator Country||United Kingdom [UK]|
|Total cost||761˙357 €|
|EC max contribution||761˙357 € (100%)|
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
|Duration (year-month-day)||from 2018-03-01 to 2022-02-28|
Take a look of project's partnership.
|1||BIRMINGHAM CITY UNIVERSITY||UK (BIRMINGHAM)||coordinator||546˙575.00|
|2||SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS||EL (NEA KIFISIA)||participant||214˙781.00|
|3||SINGULARLOGIC ROMANIA COMPUTER APPLICATIONS SRL||RO (BUCURESTI)||participant||0.00|
The IoT4Win will establish a European Industrial Doctorates (EID) training program and extend the traditional academic research training setting, equipping researchers with right combination of research-related and transferable competences, joint research training programme combines an interdisciplinary expertise of European research group, industry partners and user organisations, bring together all required knowledge, skills, and stakeholders to offer a comprehensive set of transferable skills and a training programme on ICT, data science and water engineering, including industry practice and longer-term benefit in further industrial partner collaborations and further knowledge transfer. IoT4Win will respond to well defined and interdisciplinary scientific questions and challenges on IoTs for Smart Water Network (SWN) technological area cooperating to recruit 3 ESRs to undertake research in the context of a joint research training on concepts and methodologies of IoT enabled SWN towards the PhD. IoT4Win designs 3 individual and personalised research projects covering the core SWN research areas, i.e. smart sensing and trusted communication within energy limited heterogeneous devices in IoT enabled urban water environment; dynamic sensor web and interoperable open platform with Integrated Knowledge Management for smart water networks; data security and intelligence in IoT enabled SWN. The interdisciplinary collaborations and cross industrial interactions between ICT and water sector, will expose researchers to the academic, non-academic sectors. By combining three projects, an interoperable, secure and intelligent underlying technology leading to an open platform for IoT enabled SWN applications will be developed. This platform will then be applied to and evaluated in the real water scenarios with our end user industrial partner, leading to a specialised technology platform for SWN and a best-practice smart water network demonstrator.
|year||authors and title||journal||last update|
Shahra, Essa; Wu, Wenyan
Dynamic Water Quality Sensor Placement in Water Distribution System Using an Evolutionary Algorithm
published pages: 1-2, ISSN: , DOI: 10.5281/zenodo.3662528
|Computing and Control for Water Industries 2019 Proceeding of CCWI2019||2020-04-24|
Hassan M. Mahmoud, Haitham; Wu, Wenyan
Cyber-Physical System Security Open Challenges in Smart Water Network
published pages: 1-2, ISSN: , DOI: 10.5281/zenodo.3661101
|Computing and Control in water industires (CCWI2019 Proceeding of CCW!2019||2020-04-24|
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The information about "IOT4WIN" are provided by the European Opendata Portal: CORDIS opendata.