Duration: 2023 – 2025
Funding
IAPMEI
CISeD Team Members:
Carlos Quental
Duration: 2023-2025
Funding:
European Comission
1. Context
According to the United Nations High Commission for Refugees’ report “Too Much Pain” (2018), 66.000 women and girls coming from FGM-practising countries applied for asylum in Europe and over 24.000 of them could potentially have already been affected by FGM. UNHCR also estimates that over 600,000 women are living with the consequences of FGM in Europe and that a further 180,000
girls and women are at risk of undergoing the harmful practice in 13 European countries.
1. General Objective
The general objective of the project is to provide online and face-to-face intercultural mediation training on prevention of harmful practices (HP) targeted at first line practitioners and migrant and refugee women, for (1) early detection, prevention, and response to HP crimes, such as female genital mutilation, early forced marriage and honor crimes and (2) to guarantee agility and adequacy of support to potential migrant victims.
2. Activities
2.1. Development of an intercultural digital toolbox to prevent HP on migrant women, with a Reference Framework for Intercultural Dialogue. (WP2)
2.2. Training of 720 first-line practitioners from the health sector, NGOs, police and teachers to adjust their HP prevention tools to intercultural scenarios. (WP3)
2.3. Awareness-Sessions targeted at 800 migrant women, which aim to support them in identifying early signs of possible aggression, based on human and women’s rights contemplated in international instruments, by acknowledging, expressing and acting on these situations. (WP3) Type and number of persons benefiting from the project
Toolkit Platform – 500 000 online users reached
Training – 800 migrant women and 720 practitioners on health, education and law enforcement.
Expected results:
1. Practitioners who know how to prepare and adapt HP services for intercultural frameworks, with regards to legal and psychological support.
2. Migrant women who know how to identify and prevent HP, including how to legally report.
Coordinator: INSTITUTO POLITECNICO DE VISEU-Portugal;
Partners: PRAKSIS ASSOCIATION-Grécia; ASSOCIACAO PORTUGUESA DE APOIO A VITIMA-Portugal; VICTIM SUPPORT EUROPE AISBL-Belgium; COMISSÃO PARA A CIDADANIA E A IGUALDADE DE GENERO-Portugal; FONDAZIONE INIZIATIVE E STUDIO SULLA MULTIETNICITA-Italy; COMMUNITY IMPACT UNIPESSOAL LDA-Portugal.
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.
july 5, 2023 | 19.30 horas | Sala 6 – Escola Superior de Tecnologia e Gestão de Viseu
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.
Henriques, J., Caldeira, F., Cruz, T., Simões, P. (2023).
Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets.
In Víctor A. V. (Ed.), Advanced Cybersecurity Services Design (pp. 57-72).
Switzerland: MDPI.
doi:10.3390/electronics9071164
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.
Principal Researcher:
Filipe Manuel Simões Caldeira
Duration: 2023 – 2025
Cised team members
João Pedro Menoita Henriques
The Civil Construction industry is characterized by involving projects of high complexity, dimension and budgets with the use of numerous human resources.
However, its construction sites are environments conducive to the occurrence of accidents, some of them fatal or with serious injuries, as a result of the number of workers, goods and equipment that circulate and operate in them. Falls are one of the most recurrent causes associated with accidents. Other consequences of accidents stem from the costs resulting from compensation and new hires, legal liabilities and delays in work, in addition to the impact on the reputation of organizations.
Although there is a national legal framework for managing health and safety at work, with its concepts and standards, the mandatory use of PPE (personal protective equipment), it appears that there is a strong rejection on the part of workers regarding its use. Some of the problems are mitigated by safety management professionals, through the identification of occupational risks on the site, training in the use and handling of PPE, as well as raising awareness of safe behaviour. However, these are disconnected from the reality of operations at the construction site.
To overcome this reality, this project proposes a structure (framework) for auditing safety and health at work in order to reduce the number of accidents at work. This project also intends to define a model that aims to identify the best distribution of sensors across the work sites, avoiding accidents and minimizing their response time. Given the large volume and speed of data to be collected for real-time monitoring processes, an aggregator hub of messages will be proposed that allows efficient exchange between the various stakeholders. Efforts will be delivered to enhance its scalability and reliability by defining a set of performance indicators (KPIs) to guarantee the quality of the services provided by the framework in an uninterrupted manner and with fast response times when faced with large loads.
Lopes, S., Santos, S., Rodrigues, N., Pinho, P., Viegas, D. (2023).
Modelling sorption processes of 10-h dead Pinus pinaster branches.
International Journal of Wildland Fire, 32(6), 903-912.
https://doi.org/10.1071/WF22127
