Systems and Applications
This project works in applied research in different areas of Computer Science, with a bias in the development of computational artifacts. In particular, the research carried out in this project appropriates techniques, approaches and methods of Data Science for the development of such artifacts. The treatment of the large volumes of data generated by the artifacts produced in this project are inputs for the analysis, interpretation, or even prediction of behaviors. Although it presents itself with a generalist character, most of the research is focused on supporting teaching, building intelligent multimedia environments and decision making on the Internet of Things (IoT).
In the context of teaching support, we seek to build a cognitive and playful environment for fixing knowledge, through the development of artifacts that enable an increase in productivity in the teaching-learning relationship. Such artifacts aim not only to verify learning, but also to enable an environment that values the students’ experience and experience, working with aspects of their worldview. The main multidisciplinary instrument for this development is robotics, which brings together knowledge of electronics, automation, computer science, mathematics, semiotics and cognitive knowledge. Thus, tools based on artificial intelligence and robotics are developed for teaching and research. Such tools are analyzed quantitatively and qualitatively, in order to measure the adherence of the tools developed with the educational and social aspects.
In intelligent multimedia environments, the aim is to create systems, embedded or not, that allow the execution of innovative applications with a focus on synchronization between traditional media objects, sensory stimuli and multimodal interaction. Data science permeates the construction of these systems, providing a basis for the interpretation of data from sensors, the detection of multimodal interaction, the perception of the user’s state, as well as the use of traditional media objects with a differentiated approach. Still, traditional multimedia concepts are used to create authoring models and languages in order to specify intelligent environments and facilitate the specification of so-called mulsemedia applications (Multisensory Media), as well as the validation of their operation. Abstractions are proposed to represent the interpretations obtained with data science; the sharing of information between sensor devices and actuators; and the independence of such applications from the execution platform.
Finally, in the context of IoT, the aim is to develop systems that are capable of monitoring flows and behavior of individuals and vehicles, as well as identifying them automatically or that can perform the monitoring of climatic conditions, providing information that can be used as measures to contain environmental tragedies. Such systems must be efficient both in information traffic and in terms of energy autonomy, in addition to being evaluated in terms of security, validity and correctness. The projects developed by this area encompass the concepts of Smart Cities and Industry 4.0, among others.
Researchers:
- Diego Brandão
- Eduardo Ogasawara
- Felipe Henriques
- Gustavo Guedes
- João Quadros
- Joel dos Santos (Coordinator)
International partnerships:
- Mário Guimarães (Saint Martin’s University)
- Cécile Roisin (Inria-Grenoble)
- Nabil Layaïda (Inria-Grenoble)
Financial Information:
- Edital FAPERJ 05/2012, project “Environment Development to act in Information Systems competitions”, in the period 2012-2014. Current, coordinated by professor João Quadros. Financed amount: R$ 9,000.00;
- Edital FAPERJ 02/2014, project “Training for Algorithm Olympics: Learning Programming through Participation in National Competitions”, in the 2014-2016 period. Current, coordinated by professor João Quadros. Financed amount: R$ 11,500.00;
- Notice of Research Group of CEFET / RJ, project “Research Group in Applied Computing” “, in the period 2012-2015, with the coordination of Professor Eduardo Ogasawara and Eduardo Bezerra. Financed amounts: R$ 2,949.63 (2012), R $ 129,404.74 (2013) and R $ 4,753.95 (2014).
- Edital FAPERJ APQ1, project “Development of a Robotic Tool for Performance in Basic Education”, in the 2016-Current period, with the coordination of professor João Quadros. Financed amount: R$ 11,000.00;
- Public notice FAPERJ APQ1, project “Dynamic Validation of Interactive Multimedia Documents”, in the 2016-Current period, with the coordination of Professor Joel dos Santos Funded amount: R$ 10,000.00;
- Notice APP-CAMPI of CEFET / RJ, project “Monitoring and Efficient Transmission of Medical Data on the Internet of Things” and “Remote Monitoring and Prevention System for Slips Based on Wireless Underground Sensor Networks”, in the period of 2017-2019, coordinated by Felipe Henriques. Amounts financed R$ 14,450.00 (2017) and R$ 20,000.00 (2018).
- FAPERJ Notice 08/2019, Program Supporting Student Teams in Technological-Based Projects for Educational Competitions, project Competition Formula Drone SAE Brazil, in the 2019-Current period, coordinated by professor João Quadros. Financed amount: R$ 17,674.00
- FAPERJ APQ2 announcement supports the organization of scientific events, project “XXV Brazilian Symposium on Multimedia and Web Systems (WebMedia 2019)”, in the 2019-Current period, with the coordination of Professor Joel Santos. Financed amount: R$ 40,000.00;
- CAPES PAEP public notice to support the organization of scientific events, project “XXV Brazilian Symposium on Multimedia and Web Systems (WebMedia 2019)”, in the 2019-Current period, with the coordination of Professor Joel Santos. Financed amount: R$ 45,500.00.
- Notice FAPERJ APQ1 2019, project “Remote Monitoring and Slip Prevention System Based on Wireless Underground Sensor Networks”, in the 2019-current period, coordinated by Felipe Henriques. Financed amount R$ 36,212.00.
- PIBIC and PIBIC-EM scholarships.
These projects have been under development by the group’s members since 2012 and have a total financing value of approximately R$ 352,444.32.
