Publications
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ELSO: A Blockchain-Based Technique for a Reliable and Secure Healthcare Information Exchange
Nowadays, healthcare takes a great attention from people and governments due to the emergence of new diseases and viruses. Health Information Exchange (HIE) allows doctors, clinicians, and healthcare facilities (HCF) to exchange and share patient records according to patient permission. Unfortunately, the HIE systems suffer from several challenges such as security, privacy, latency, throughput, and […]
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Hybrid Data-Driven and Knowledge-Based Predictive Maintenance Framework in the Context of Industry 4.0
The emergence of Industry 4.0 has heralded notable progress in manufacturing processes, utilizing sophisticated sensing and data analytics technologies to maximize efficiency. A vital component within this model is predictive maintenance, which is instrumental in ensuring the dependability and readiness of production systems. Nonetheless, the heterogeneous characteristics of industrial data present obstacles in realizing effective […]
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Fatigue Evaluation and Scheduling for Manual Tasks: A Break Planning Approach
The quality and time execution of any production task involving human operator depend on the state of the operator and its behaviour. Recently, several studies are interested in the modelling of human behaviour in industrial system to design human centred manufacturing system. In this context, this paper focus of the fatigue of operator in production […]
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Towards a manufacturing optimization system through remote robot control system using hand movement
In recent times, there has been a notable shift in manual assembly tasks being replaced by robots. These robots are controlled by operators using keyboards. To enhance this practice, we have introduced a remote human-robot collaboration system. This system allows operators to remotely control robots using hand gestures, utilizing an online hand gesture recognition system. […]
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An Enhanced Interface-Based Probabilistic Compositional Verification Approach
In this paper, we aim to advance the state of the art in the verification process of systems, predominantly modeled as Probabilistic Automata (PA). This model accommodates both nondeterministic and probabilistic behaviors. Our primary strategy to address the notorious state space explosion problem inherent in model checking is the adoption of abstraction and compositional verification […]
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Reinforcement Learning for Optimal HVAC Control: from Theory to Real-world Applications
The HVAC system accounted for a significant portion of the building’s energy consumption, resulting in enormous CO2 emissions. Among the numerous HVAC control methods, reinforcement learning (RL) gives the ability to control complex systems without requiring an explicit model of the building’s thermal dynamics. This study conducted a concise review of previous research on the […]
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Occupancy Prediction in Buildings Using Cascaded LSTM Model
Buildings are one of the prominent sectors among global primary energy consumption. A large portion of this energy consumption is influenced by occupancy interaction with the buildings. Occupancy prediction in buildings without intruding their privacy helps to enhance the building energy management. Due to the complex relations of the inputs and the temporal dependency, modeling […]
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Indoor Air Temperature and Occupant Behavior in Classroom of higher education building in Mediterranean climate
Data collection Include the measurement of indoor and outdoor environmental parameters (air temperature and relative humidity) and occupant interactions with building systems (window and door status: open/closed, blind state, and thermostat/air-conditioning adjustment). The outdoor air temperature, relative humidity, and wind speed were collected as potential control variables to indicate different outdoor conditions. The indoor air […]
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Digital Twin of an education modular smart building
As described by Nguyen and Adhikari [1], the digital twin (DT) is a tool that is expected to address issues link to the interactions between building monitored data and decisions to manage effectively the building during its entire life cycle. Nevertheless, the development and the use of the DT is not always natural since it […]
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Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking
In both professional and private life, there is a growing need for public speaking skills. With this background, our research project’s long-term aims are to develop tools that can analyse public speeches and provide useful feedback. The impact of audio and visual characteristics on the automatic analysis of speech quality has been widely explored in […]
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ACE: how Artificial Character Embodiment shapes user behaviour in multi-modal interactions
The ACE -how Artifcial Character Embodiment shapes user behavior in multi-modal interactions -workshop aims to bring together researchers, practitioners and experts on the topic of embodiment, to analyze and foster discussion on its efects on user behavior in multi-modal interaction. ACE is aimed at stimulating multidisciplinary discussions on the topic, sharing recent progress, and providing […]
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A Secured Blockchain Framework for Healthcare Data Management System
In the healthcare system, electronic medical records are very critical, and they must be authenticated and verified. During the medical check-up, a large amount of patient medical data is generated which includes reports related to blood, lifethreatening diseases, and personal information such as credit card numbers and addresses. Any privacy breach in patient medical records […]
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