Percorrer por autor "Sabiri, Khadija"
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- Chain of Trust: Integrating IoT and Blockchain to Certify Wild Mushroom Growth QualityPublication . Rosse, Higor Vendramini; Camargo, Caio; Gonçalves, Estefânia; Sabiri, Khadija; Coelho, João PauloThis paper presents the preliminary results of the study developed within the scope of the ”Safe2Taste” project presenting the main concept of hardware and software architectures. The project aims to build a monitoring system supported by IoT technologies and covered by a security layer through interaction with a blockchain network to be applied in an edible mushroom production system. The hardware and software components were validated in the laboratory and taken to domestic production for the concept phase. the impacts caused by the inconsistent production management are in the analysis phase as the data collection is not finalized. At this stage, the implementation of low-cost IoT nodes is intended for collecting and monitoring parameters, these parameters are sent via the MQTT protocol to the cloud, starting the blockchain mining process and storing the mining result in an immutable database. The information from monitoring, as well as the keys generated in blockchain mining, will be presented in an intuitive way through a user interface built using the NODE-red framework.
- Fairness in Designing Decision-Making Processes with Multi-Agent Systems and Human FactorsPublication . Vieira, Gustavo; Zeiner, Herwig; Paletta, Lucas; Fernandes, Rui; Rosse, Higor; Sabiri, Khadija; Paz, Juan F. De; Barbosa, JoséThis paper explores the integration of Human Factors (HF) into Multi-Agent Systems (MAS) to enhance fairness in decision-making processes in Industry 5.0 environments. We contribute with a human-centred perspective in the development of MAS by integrating the physiological aspects of workers in the manufacturing industry. This culminates in the measurement of human resilience. This paper presents an automotive manufacturing environment where wearable sensors and AI-driven analytics assess workers' physiological and psychological stress levels to calculate a human resilience score. This score, along with worker preferences, supports a dynamic worker allocation algorithm based on MAS that adapts to production demands. Our approach embodies the Industry 5.0 vision of technologies that support adaptive, transparent and, above all, fair human management. The system uses advanced technologies to meet business goals and employee needs and to promote a more inclusive, supportive and people-centred work environment.
- A virtual reality-based learning environment for human - robot collaboration training in construction 4.0Publication . Sabiri, Khadija; Afonso, Luís; Camargo, Caio; Gonçalves, Estefânia; Fernandes, RuiThe rapid digitalization of the construction sector under the Construction 4.0 paradigm demands new training approaches for human-robot collaboration (HRC). Integrating HRC with Virtual Reality (VR) offers a powerful means to enhance workforce competence, safety, and efficiency through immersive and realistic simulations of construction scenarios. This paper presents the design and evaluation of a VR-based Virtual Learning Environment (VLE) developed in Unity 3D to train construction professionals for safe and effective human-robot teamwork. The platform comprises four integrated modules: (i) safety fundamentals, (ii) robot familiarization, (iii) immersive collaboration scenarios, and (iv) performance assessment. A virtual prototype of a construction robot and typical interaction workflows were modeled to simulate real-world operations. An experimental study involving 10 construction professionals evaluated the system using a mixed-methods approach grounded in the Technology Acceptance Model (TAM) and objective task performance metrics. Results demonstrate strong perceived usefulness and ease of use, with participants reporting improved communication, safety awareness, and trust in robotic co-workers. The findings highlight the potential of VR-based training to enhance workforce readiness and advance safe, collaborative practices in the era of Construction 4.0.