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Projetos

Centro de Computação Gráfica

Deus ex Machina (DEM): Symbiotic technology for societal efficiency gains

2015 - 2018 (a decorrer)

The DEM project fits into pressing social challenges in the areas of health, nutrition, agriculture, activity monitoring, and community tools.

It consists of two lines of research, which often interact with one another:

1) o ‘Eyes of the Internet of Things’ Competence Centre (EITCC) - refers to research on blocks of technology ranging from small sensors to big data;

2) o ‘Companion’ Competence Centre (C3) - focuses on using the technology blocks in co-design with end users in the different target domains.

In this sense, the EITCC focuses on the understanding of the environment, the user, its context and actions, while the C3 will study relevant societal challenges within the scientific domains in relation to human beings, in order to design 'companions', which are non-intrusive, life-support tools in a variety of fields, such as health and wellness, nutrition and agriculture.

The project aims to:
• Sensing and Acting: creating new detection and sensing mechanisms to access existing devices and develop new sources of detection of the Internet of Things;
• Investigation of local information fusion algorithms to obtain local information from various detection devices;
• Implementation of information fusion from multiple distributed devices, historical and contextual data of high level of abstraction in the cloud;
• ICT4D Network: developing solutions for broadband networks to remote locations in developing countries.

Participation of the CCG:
The CCG supports the implementation of information fusion from multiple distributed devices, historical and contextual data of high level of abstraction in the cloud, falling into the following tasks:
• Study and design of the interoperability architecture that allows the "information fusion".
• Design of the interoperability architecture that allows information fusion in a cloud computing environment.


Client:
• Centro Algoritmi, University of Minho

Partners of the project:
• Associação Fraunhofer Portugal Research
• University of Minho
• University of Porto
• University of Trás-os-Montes e Alto Douro


Financing: Structured R & D & I project, co-financed by the European Regional Development Fund (ERDF) through NORTE 2020, operation nº NORTE-01-0145-FEDER-000026.

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