José Silva
José Luís Henriques da Silva
0000-0001-7285-8282 • 4A14-D3E7-5B32
INSTITUTO POLITÉCNICO DE VISEU • Escola Superior de Tecnologia e Gestão de Viseu
Data Privacy and Ethical Considerations in Database Management
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
Optimizing Database Performance in Complex Event Processing through Indexing Strategies
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
Revisiting Database Indexing for Parallel and Accelerated Computing: A Comprehensive Study and Novel Approaches
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
Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study
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
Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting
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
C644867037-00000013-8/8 • GA_OBTURADORES GREENAUTO: Automated automotive body parts mounting system
Principal Researcher:
Serafim Oliveira
Duration: 2023 – 2025
Cised team members
José Luís Silva
Daniel Albuquerque
Rui Pedro Duarte
Olga Contente
Many currently available robotic systems have important limitations regarding adaptation to car electrification trends. To overcome these limitations, this project focuses on developing one efficient piece of equipment for shutter assembly, exploring the potential of artificial vision technology. It includes simulation studies to assess the viability of the proposed solution, which will be prototyped and tested in laboratory and pre-industrial conditions afterward.
PIDI/CISeD/2023/012 • Computer vision in unmanned aerial vehicle (UAV) for industrial applications
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.
Reliability Estimation Using EM Algorithm with Censored Data: A Case Study on Centrifugal Pumps in an Oil Refinery
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
C644867037-00000013-9/15 • GA_RV/RA GREENAUTO: VR/AR Operator guidance system
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.