Pina, E., Ramos, J., Jorge, H., Váz, P., Silva, J., Wanzeller, C., Abbasi, M., Martins, P. (2024).
Data Privacy and Ethical Considerations in Database Management.
Journal of Cybersecurity and Privacy, 4(3), 494-517.
https://doi.org/10.3390/jcp4030024
Abbasi, M., Bernardo, M. V., Váz, P., Silva, J., Martins, P. (2024).
Optimizing Database Performance in Complex Event Processing through Indexing Strategies.
Data, 9(8), 93.
https://doi.org/10.3390/data9080093
Abbasi, M., Bernardo, M. V., Váz, P., Silva, J., Martins, P. (2024).
Revisiting Database Indexing for Parallel and Accelerated Computing: A Comprehensive Study and Novel Approaches.
Information, 15(8), 429.
https://doi.org/10.3390/info15080429
Abbasi, M., Bernardo, M. V., Váz, P., Silva, J., Martins, P. (2024).
Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study.
Information, 15(9), 574.
https://doi.org/10.3390/info15090574
Abbasi, M., Váz, P., Silva, J., Martins, P. (2024).
Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting.
Technologies, 12(11), 216.
https://doi.org/10.3390/technologies12110216
Principal Researcher:
Eduardo Miguel Teixeira Mendonça Gouveia
Duration: 2023 – 2025
Cised team members
Filipe Manuel Simões Caldeira
Vasco Eduardo Graça Santos
Maria Elisabete Ferreira Silva
José Luis Mendes Loureiro Abrantes
Paulo Joaquim Antunes Vaz
The dynamics imposed on the electric mobility market and environmental and technological issues lead to a paradigm involving various energy chain agents, from producers, consumers, traders, and network operators.
From the outset, private users and entities are faced with various mobility solutions, including vehicles with a thermal engine, hybrid, or purely electric. In the case of EV (Electric Vehicles), decision-making includes choices that are covered with different levels of sophistication, from charging an electric vehicle from a simple single-phase 16 A socket to more complex solutions that fit the assembly of Wallbox.
Other variables, such as the type of charging (fast/slow) and battery life, are also important. The most appropriate tariff option for each case and the maintenance inherent to each type of mobility solution make the decision denser.
Concerning energy production (self-consumption) and considering the user profile, it will be essential to reflect on mobility solutions that think of renewable energy production (solar photovoltaic, other) in which the EV can be a storage point for that energy with the consequent assessment of the potential economic benefit and the resultant minimization of the ecological footprint, highlighting the carbon footprint.
On the other hand, all these dynamics of sustainable mobility will impact the electrical grids. The network operator will now have to deal with these “new” realities, minimizing the impact on the network, namely in terms of power flow and in terms of the quality of the voltage wave. Also, at the end customer level, there are reports of situations in which inverters “withdraw” photovoltaic production from the grid in the face of disturbances in the quality of the voltage wave. These situations must be assessed at the level of the network operator when they have external causes at their origin or at the level of the consumer when the source of the disturbance is internal.
The present project proposal intends to contribute at several levels in several agents: users, energy producers (self-consumption), network operators, general public due to possible ascertainable environmental benefits.
The intended results include the guidance of dissertations, digital platforms, and publication in scientific journals and communications. Protocols for the study of sustainable mobility solutions within the scope of local agents may also be framed. In terms of results, it will also be essential to organize dissemination activities to disseminate the results obtained within the community and improve the visibility of research and development work in the mobility and transport sector.
Principal Researcher:
José Luís Henriques da Silva
Duration: 2023 – 2025
Cised team members
Serafim Oliveira
Rui Pedro Duarte
José Luís Abrantes
Paulo Vaz
João Menoita
Unmanned Aerial Vehicles (UAVs) can be used to monitor activities and offer technological solutions in various industrial sectors.
Applying machine vision algorithms to UAVs allows vehicles to understand and interact with the surrounding environment more intelligently. They can identify and avoid obstacles, make navigation decisions based on the collected visual information, and even perform complex tasks such as following predetermined routes or recognizing specific objects.
However, artificial vision has challenges such as the need to deal with changing lighting conditions, changing weather conditions and the presence of complex and moving objects. Machine vision algorithms need to be robust enough to handle these situations and provide accurate and reliable results.
Furthermore, it is important to perform rigorous validation and testing of machine vision algorithms under different scenarios and conditions to ensure that they are robust enough before being deployed in practical applications.
This project intends to implement this technology in industrial environments, namely in precision positioning (Vision Positioning System – VPS) and automated inspection.
The use of UAVs equipped with VPS and automated inspection systems allows real-time monitoring of various industrial activities, such as detecting chemical leaks, identifying risk areas, monitoring production flow, visual quality control, among others.
Data collected by UAVs or sensors can be processed in real time and provide valuable information for decision making and ensuring safety and compliance in industrial environments.
Silva, J., Vaz, P., Martins, P., Ferreira, L. (2023).
Reliability Estimation Using EM Algorithm with Censored Data: A Case Study on Centrifugal Pumps in an Oil Refinery.
Applied Sciences, 13(13):7736.
https://doi.org/10.3390/app13137736
Principal Researcher:
Serafim Oliveira
Duration: 2022 – 2025
Cised team members
José Luís Silva
Rui Pedro Duarte
João Menoita Henriques
Paulo Vaz
Daniel Albuquerque
Ricardo Gama
This project proposes impactful innovations in quality control processes through the development of a system for guidance of operators aided by virtual and augmented reality, and it is expected to address the digitalization applied to tasks performed by operators supported by virtual reality training and augmented reality. Creating a system that combines these components will accelerate the learning curve of new operators and prevent critical factors and operational errors.
