Publications
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EEG-based Emotion Recognition Using Modified Covariance and Ensemble Classifiers
The Electroencephalography (EEG)-based precise emotion identification is one of the most challenging tasks in pattern recognition. In this paper, an innovative EEG signal processing method is devised for an automated emotion identification. The Symlets-4 filters based “Multi Scale Principal Component Analysis” (MSPCA) is used to denoise and reduce the raw signal’s dimension. Onward, the “Modified […]
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An overview on human-centred technologies, measurements and optimisation in assembly systems.
This paper offers an in-depth examination of the ergonomics of human-centred assembly systems in Industry 4.0, where manual tasks remain essential. The use of advanced technologies such as motion capture (MOCAP) and virtual reality (VR) is analysed as ways to enhance system efficiency and improve worker well-being. The paper highlights the importance of optimising assembly […]
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HEALTrust: Enhancing Healthcare Data Integrity and Privacy through Blockchain-Enabled Exchange Systems
Invited talk to the event: Vers une santé digitale en Algérie, Convergence des compétences informatiques et cliniques, 2023, Tlemcen, Université de Tlemcen, Algeria. The talk is about using BC in healthcare systems
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Multi-Agent Simulation for Scheduling and Path Planning of Autonomous Intelligent Vehicles
Autonomous and Guided Vehicles (AGVs) have long been employed in material handling but necessitate significant investments, such as designating specific movement areas. As an alternative, Autonomous and Intelligent Vehicles (AIVs) have gained traction due to their adaptability, intelligence, and capability to handle unexpected obstacles. Yet, challenges like optimizing scheduling and path planning, and managing routing […]
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Predictive maintenance approaches in industry 4.0: A systematic literature review
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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DLSTM-SCM– A Dynamic LSTM-Based Framework for Smart Supply Chain Management
In the retail industry, SCM holds significant importance as it ensures the efficient movement of goods from suppliers to customers. In this intricate and fast-paced environment, the availability of accurate information and data is crucial. The purpose of this paper is to develop a framework that enhances forecasting accuracy and efficiency in supply chain operations […]
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A Smart Mining Strategy for Blockchain-Enabled Cyber-Physical Systems
This article presents a novel approach to enhancing asset management and resource sharing in intelligent systems with a focus on the industrial ones using Blockchain. We introduce a hybrid network architecture—termed the Hybrid Cyber-Physical System (HyCPS)—designed to facilitate decentralized, trustworthy data sharing across all layers. Central to this framework is a robust smart consensus protocol […]
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From Simulation to Digital Twins, the Case of Internet of Things Research and Tools
The digitalisation of the environment surrounding human beings in their daily life is a major challenge facing today’s technological progress. Building digital replicas of humans and systems help us to understand our environment, to anticipate its variations and to better explain its behaviour. Research in digital twins is continuously developing due to the various benefits […]
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Finite-dimensional adaptive observer design for reaction-diffusion system
A new finite dimensional adaptive observer is proposed for a class of linear parabolic systems. The observer is based on the modal decomposition approach and uses a classical persistent excitation condition to ensure exponential convergence of both states and parameter estimation errors to zero.
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Securing Autonomous Vehicles
This talk delves into the fundamentals of security for autonomous vehicles, exploring the challenges and existing solutions in this rapidly evolving field. It discusses the limitations of current security measures and introduces the application of formal methods to model safety and security in autonomous vehicles. The talk outlines the process of applying formal methods to […]
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Distributed Transactive Energy Management in Microgrids based on Blockchain
While the Internet of Energy (IoE) introduced advanced collaborative management methods through real-time monitoring and demand response programs, smart grids still grapple with challenges related to central governance, ineffective information aggregation, and privacy issues. These problems create significant hurdles in smart grid management, particularly with the high penetration of distributed energy resources (DERs). In this […]
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RPA-Code for Secure Binary Sequence Generation from Graph-Based Scanning
This article introduces a novel method for generating random bi- nary sequences from Random Polar Angles (RPA). These sequences can be derived from an image, akin to QR-Codes, making them suitable for cryptographic applications and information coding sys- tems. The proposed method allows the generation of multiple codes using the same image. It is based […]
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