@conference {7287,
	title = {Integrated production and maintenance planning in hybrid manufacturing-remanufacturing system with outsourcing opportunities},
	booktitle = {4th International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science},
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	author = {Merghem, Mohammed and Haoues, Mohammed and Mouss, Kinza-Nadia and Dahane, Mohammed and SENOUSSI, Ahmed}
}
@conference {7286,
	title = {Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system},
	booktitle = {3rd International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science 200},
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	abstract = {
	In this study, we investigate a production planning problem in hybrid manufacturing remanufacturing production system. The objective is the determine the best mix between the manufacturing of new products, and the remanufacturing of recovered products, based on economic and environmental considerations. It consists to determine the best manufacturing and remanufacturing plans to minimising the total economic cost (start-up and production costs of new and remanufactured products, storage costs of new and returned products and disposal costs) and the carbon emissions (new products, remanufactured products and disposed products). The hybrid system consists of a set of machines used to produce new products and remanufactured products of different grades (qualities). We assume that remanufacturing is more environmentally efficient, because it allows to reduce the disposal of used products. A multi-objective mathematical model is developed, and a non dominated sorting genetic algorithm (NSGA-II) based approach is proposed. Numerical experience is presented to study the impact of carbon emissions generated by new, remanufactured and disposed products, over a production horizon of several periods.




},
	url = {https://www.sciencedirect.com/science/article/pii/S1877050922003349},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kinza and Haoues, Mohammed}
}
@conference {6931,
	title = {Computer Aided Inspection by Reverse Engineering for Reproduction of Gear Teeth},
	booktitle = {International Conference on Advanced Materials Mechanics \& Manufacturing},
	year = {2022},
	pages = {292{\textendash}298},
	publisher = {Advances in Mechanical Engineering and Mechanics II},
	organization = {Advances in Mechanical Engineering and Mechanics II},
	abstract = {In the industry, automated inspection is important for ensuring the high quality and allows acceleration of procedures for quality control of parts or mechanical assemblies. Although significant progress has been made in precision machining of complex surfaces, precision inspection of such surfaces remains a difficult problem. Thus the problem of the conformity of the parts of complex geometry is felt more and more. Motivated by the need to increase quality and reduce costs, and supported by the progress made in the field of it as well as the automation of production which in recent years has seen a considerable evolution in all these stages: from design to control through manufacturing. Due to, we used a 3D computer aided inspection technique on a physical gear using a coordinate measuring machine equipped with a {\textquotedblleft}PC-DMIS{\textquotedblright} measurement and inspection software. Our work consists in developing a procedure for inspection for reproduction of gear profile by reconstruction of a circle involute gear from a cloud point{\textquoteright}s measurement. In order to obtain a reliable result. In this works, we design the CAD-model of the part as accurately as possible (using a mathematical model) and matched with the 3D points cloud that represents the measurement that obtained from scanner. we compare the measurement cloud points from coordinate measurement machine with the mathematical model of construction by ICP (Iterative Closest Point) methods in order to obtain a conformed result and to show the impact of the dimensional inspection and geometric.},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-86446-0_38},
	author = {Selloum, Rabia and Ameddah, Hacene and Mourad Brioua}
}
@conference {7243,
	title = {A Comparative Study Between Data-Based Approaches Under Earlier Failure Detection},
	booktitle = {ICCIS2020},
	volume = {204},
	year = {2021},
	pages = {235{\textendash}239},
	publisher = {Lecture Notes in Networks and Systems},
	organization = {Lecture Notes in Networks and Systems},
	address = {India},
	abstract = {A comparative study between a set of chosen machine learning tools for direct remaining useful life prediction is presented in this work. The main objective of this study is to select the appropriate prediction tool for health estimation of aircraft engines for future uses. The training algorithms are evaluated using {\textquotedblleft}time-varying{\textquotedblright} data retrieved from Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) developed by NASA. The training and testing processes of each algorithm are carried out under the same circumstances using the similar initial condition and evaluation sets. The results prove that among the studied training tools, Support vector machine (SVM) achieved the best results.},
	url = {https://link.springer.com/chapter/10.1007/978-981-16-1089-9_20},
	author = {HADJIDJ, Nadjiha and Benbrahim, Meriem and Berghout, Tarek and Mouss, Leila-Hayet}
}
@conference {7269,
	title = {Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs},
	booktitle = {International Conference on Computing Systems and Applications},
	year = {2021},
	publisher = {Lecture Notes in Networks and Systems book series},
	organization = {Lecture Notes in Networks and Systems book series},
	abstract = {In this paper we address the integration of two-level supply chain with multiple items, production facility and retailers{\textquoteright} demand over a considered discrete time horizon. This two-level production distribution system features capacitated production facility supplying several retailers located in the same region. If production does take place, this process incurs a fixed setup cost as well as unit production costs. In addition, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles and routing costs are incurred. This work aims at implementing a solution to minimize the sum of the costs at the production facility and the retailers. The methodology adopted to tackle this issue is based on a hybrid heuristic, greedy and genetic algorithms that uses strong formulation to provide a good solution of a guaranteed quality that are as good or better than those provided by the MIP optimizer with a considerably larger run time. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-69418-0_11},
	author = {Bensakhria, Mohamed and Samir Abdelhamid}
}
@conference {7245,
	title = {Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria},
	booktitle = {International Conference on Artificial Intelligence in Renewable Energetic Systems(IC-AIRES{\textquoteright}21 )},
	volume = {361},
	year = {2021},
	pages = {21{\textendash}33},
	publisher = {Lecture Notes in Networks and Systems},
	organization = {Lecture Notes in Networks and Systems},
	address = {Tipasa, Algeria},
	abstract = {This paper proposes an optimum design of a diesel/PV/wind/battery hybrid renewable energy system (HRES) for rural electrification in a remote district in Tamanrasset, Algeria. In this study, a particle swarm optimization algorithm (PSO) has been proposed to solve a multi-objective optimization problem, which was created by carrying out simultaneously, the cost of energy (COE) minimization while maximizing the reliability of power supply described as the loss of power supply probability (LPSP) and a renewable fraction (RF). The simulation results show that the PV/WT/DG/BT is the best economic configuration with a reasonable annual cost of the optimal system (ACS) which is about 7798.71\&nbsp;$ and the COE equal to 0.79\&nbsp;$/kWh for an LPSP\&nbsp;=\&nbsp;0.01\%, where the ten households are 0.99 \% satisfied by renewable energy sources.},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-92038-8_3},
	author = {Hadda Zereg and Hassen Bouzgou}
}
@conference {7253,
	title = {Towards Digital Twins Driven Breast Cancer Detection},
	year = {2021},
	publisher = {Lecture Notes in Networks and Systems},
	organization = {Lecture Notes in Networks and Systems},
	abstract = {Digital twins have transformed the industrial world by changing the development phase of a product or the use of equipment. With the digital twin, the object{\textquoteright}s evolution data allows us to anticipate and optimize its performance. Healthcare is in the midst of a digital transition towards personalized, predictive, preventive, and participatory medicine. The digital twin is one of the key tools of this change. In this work, DT is proposed for the diagnosis of breast cancer based on breast skin temperature. Research has focused on thermography as a non-invasive scanning solution for breast cancer diagnosis. However, body temperature is influenced by many factors, such as breast anatomy, physiological functions, blood pressure, etc. The proposed DT updates the bio-heat model{\textquoteright}s temperature using the data collected by temperature sensors and complementary data from smart devices. Consequently, the proposed DT is personalized using the collected data to reflect the person{\textquoteright}s behavior with whom it is connected.},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-80129-8_7},
	author = {Meraghni, Safa and Benaggoune, Khaled and Al Masry, Zeina and Terrissa, Sadek-Labib and Devalland, Christine and Zerhouni, Noureddine}
}
@conference {6932,
	title = {Inspection on a Three-Dimensional Measuring Machine for a Virtual Model for Additive Manufacturing},
	booktitle = {International Conference on Advances in Mechanical Engineering and Mechanics},
	year = {2021},
	pages = {138{\textendash}143},
	publisher = {Advances in Mechanical Engineering, Materials and Mechanics},
	organization = {Advances in Mechanical Engineering, Materials and Mechanics},
	abstract = {Today, and to quickly meet the high demands of variability, supply chain efficiency and energy optimization, business markets are looking for modern manufacturing technologies and as a solution, industry 4.0 is using the benefits of integrating modern manufacturing technologies and information systems to promote production capabilities. In this context, intelligent industry represents a new generation of automatic production systems based on the concepts of intelligent industry, intelligent manufacturing, control and intelligent inspection, such as inspection on coordinate measuring machines (CMMs). This technology allows many machines to be integrated into a plant and controlled online using the MBD (Model Based Design) quality system. The problem of conformity of parts with complex geometry is becoming more and more important. The objective of this work is to present a 3D inspection technique on a virtual model (MBD: Model Based Design), using a coordinate measuring machine equipped with a {\textquotedblleft}POWER INSPECT{\textquotedblright} measurement and inspection software. The interest of this technique is to show the impact of the dimensional inspection and geometric tolerance process of the CAD model for the CAI (Computer aided Inspection) approach on the fidelity of the finished product for additive manufacturing (AM) including intelligent industry.},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-52071-7_20},
	author = {Ameddah, Hacene and Selloum, Rabia and Mourad Brioua}
}
@conference {9585930,
	title = {Maximization of the Stability Radius of an Infinite Dimensional System Subjected to Stochastic Unbounded Structured Multi-perturbations With Unbounded Input Operator},
	booktitle = {International Conference on Recent Advances in Mathematics and Informatics (ICRAMI), 21-22 Sept},
	year = {2021},
	month = {Sep.},
	pages = {1-5},
	address = {Tebessa, Algeria},
	abstract = {
	In this paper we consider infinite dimensional systems subjected to stochastic structured multiperturbations. We address the problem of robustness optimization with respect to state feedback but allow both unbounded input and perturbations. Conditions are derived for the existence of a stabilizing controller ensuring that the norm of the closed loop operator below a prespecified bound. Such controllers will be called suboptimal controllers. The suboptimality conditions are obtained in terms of a Riccati equation which satisfies an operator inequality. Finally, we give a lower bound for the supremal achievable stability radius via the Riccati equation.

},
	doi = {10.1109/ICRAMI52622.2021.9585930},
	url = {10.1109/ICRAMI52622.2021.9585930},
	author = {Amina, Heddar and Maissa, Kada}
}
@conference {9585901,
	title = {Robust Stabilization of Infinite Dimensional Systems Subjected to Stochastic and Deterministic Perturbations},
	booktitle = {2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)},
	year = {2021},
	pages = {1-4},
	address = {Tebessa, Algeria},
	abstract = {
	This paper deals with the robust stabilization of infinite dimensional systems subjected to stochastic and deterministic perturbations. First, we give conditions providing the stability of the parameterized system. Then, we investigate the maximization of the stability radius by state feedback. We establish conditions for the existence of suboptimal controllers. Using these conditions we characterize the supreme achievable stability radius via an infinite dimensional Riccati equation.

},
	doi = {10.1109/ICRAMI52622.2021.9585901},
	url = {10.1109/ICRAMI52622.2021.9585901},
	author = {Amira, Kameche and MAISSSA, KADA}
}
@conference {9585968,
	title = {Stacked Auto-Encoders Based Biometrics Recognition},
	booktitle = {International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)},
	year = {2021},
	month = {Sep.},
	pages = {1-6},
	address = {Tebessa, Algeria},
	abstract = {
	Recently deep learning has shown significant achievement in the performance of many tasks, like natural language processing, image and speech recognition. Also, this improvement concerns multiple biometrics recognition systems. In this work, we focus on biometrics recognition, we present a stacked auto-encoder-based approach for various biometrics recognition, including Iris, Ear, palm-print, and face recognition. The proposed method allows training a neural network that includes two hidden layers for biometrics tasks. It runs in two steps, in the first one, each layer is trained individually in an unsupervised manner by auto-encoders, then the layers are stacked and trained in a supervised way. Experimental results on images, obtained from publicly available biometrics databases clearly demonstrate the benefit of using stacked auto-encoders as feature extraction and dimension reduction tools for biometrics recognition, as significant high accuracy rates are obtained over the four databases.

},
	doi = {10.1109/ICRAMI52622.2021.9585968},
	url = {10.1109/ICRAMI52622.2021.9585968},
	author = {Boussaad, Le{\"\i}la and BOUCETTA, ALDJIA}
}
@conference {9585971,
	title = {Simulation Of The Structure FSS Using The WCIP Method For Dual Polarization Applications},
	booktitle = {International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)},
	year = {2021},
	month = {Sep.},
	pages = {1-6},
	address = {Tebessa, Algeria},
	abstract = {
	In this work, we studied an L-shaped frequency selective surface (FSS) by a method called Wave Concept Iterative Procedure (WCIP), this method developed from the Modal Fast Transformation (FMT) is based on the cross- formulation. wave and the solution obtained by an iterative procedure does not use the matrix to ensure convergence and the procedure is stopped when it arrives at convergence, for this geometry the results of a single resonance obtained by the WCIP method have a resonant frequency of 5.35 GHz with a band bandwidth of 2.3 GHz, when the structure is excited in the X direction, a frequency at 10.35 GHz with a bandwidth of 0.44 GHz when the structure is excited in the Y direction. The simulation of the results obtained by the WCIP method is compared with the results of the software HFSS 13.0 (High Frequency Structure Simulator), we find a good agreement.

},
	doi = {10.1109/ICRAMI52622.2021.9585971},
	url = {10.1109/ICRAMI52622.2021.9585971},
	author = {Mekaoussi, Abdelmalik and Titaouine, Mohammed}
}
@conference {62558,
	title = {A Comparative Study Between Data-Based Approaches Under Earlier Failure Detection},
	booktitle = {Communication and Intelligent Systems},
	year = {2021},
	month = {2021},
	pages = {235-239},
	publisher = {Springer},
	organization = {Springer},
	abstract = {
	A comparative study between a set of chosen machine learning tools for direct remaining useful life prediction is presented in this work. The main objective of this study is to select the appropriate prediction tool for health estimation of aircraft engines for future uses. The training algorithms are evaluated using {\textquotedblleft}time-varying{\textquotedblright} data retrieved from Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) developed by NASA. The training and testing processes of each algorithm are carried out under the same circumstances using the similar initial condition and evaluation sets. The results prove that among the studied training tools, Support vector machine (SVM) achieved the best results.

},
	url = {https://link.springer.com/chapter/10.1007/978-981-16-1089-9_20},
	author = {Nadjiha, Hadjidj and Meriem, Benbrahim and Berghout Tarek and Hayet, Mouss Leila}
}
@conference {62538,
	title = {Comparative Study of Different Fault-Tolerant Control Strategies for Three-Phase Induction Motor},
	booktitle = {9th (Online) International Conference on Applied Analysis and Mathematical Modeling (ICAAMM21) June 11-13, 2021, Istanbul-Turkey},
	year = {2021},
	month = {2021},
	pages = {30},
	abstract = {: In this paper, we have studied a different fault tolerant control (FTC) strategies for a three-phase induction motor (3p-IM). Further we introduce Backstepping controller (BC) and Input-output linearization controller (IOLC). To provide a direct comparison between these FTCs approaches, the performances are evaluated using the control of 3p-IM under failures, variable speed, and variable parameters. A comparison between the two control strategies is proposed to prove the most robust one. The simulation results show the robustness and good performance of the fault tolerant control with Input-output linearization controller compared to one with Backstepping controller. The FTC with IOLC is more stable and robust against failures, load torque perturbation and speed reversion},
	url = {file:///C:/Users/HU-BAT~1/AppData/Local/Temp/MicrosoftEdgeDownloads/6c9b4e40-cbc2-4ebc-bffd-b9e03c453532/NTMSCI-2021-9-1.15532\%20(1).pdf},
	author = {Roubache, Toufik and Chaouch, Souad and Said, Mohamed Said Nait}
}
@conference {62758,
	title = {Discrete Large-scale Multi-Objective Teaching-Learning-Based Optimization Algorithm},
	booktitle = {Proceedings of the 4th International Conference on Networking, Information Systems \& Security},
	year = {2021},
	month = {2021},
	pages = {1-6},
	abstract = {This paper presents a teaching-learning-based optimization algorithm for discrete large-scale multi-objective problems (DLM-TLBO). Unlike the previous variants, the learning strategy used by each individual and the acquired knowledge are defined based on its level. The proposed approach is used to solve a bi-objective object clustering task (B-OCT) in a swarm robotic system, as a case study. The simple robots have as mission the gathering of a number of objects distributed randomly, while respecting two objectives: maximizing the clustering quality, and minimizing the energy consumed by these robots. The simulation results of the proposed algorithm are compared to those obtained by the well-known algorithm NSGA-II. The results show the superiority of the proposed DLM-TLBO in terms of the quality of the obtained Pareto front approximation and convergence speed.},
	url = {https://dl.acm.org/doi/abs/10.1145/3454127.3456609},
	author = {Aouadj, Wafa and Abdessemed, Mohamed Rida and Seghir, Rachid}
}
@conference {62726,
	title = {Food\&rsquo;s Conservation into 03 Dimension\&rsquo;s Models of Cold Stores Operated by 03 Refrigeration Systems in Biskra Region (Classic, Absorption, Adsorption)},
	booktitle = {Defect and Diffusion Forum},
	volume = {406},
	year = {2021},
	month = {2021},
	pages = {182-191},
	publisher = {Trans Tech Publ},
	organization = {Trans Tech Publ},
	abstract = {As renewable energy elucidation, the solar refrigeration of fruits such as date palm is a storage alternate to preserve food in healthy parameters of conditioning. This statistical and numeric study investigates the energy gain cost case around the diverse dimensions{\textquoteright} models of positive cold stores (02, 04, and 06 cold rooms), concerning energetic disparity and numerous financial fluctuations of the applied systems. The results of computation and analysis regarding panels of construction, equipment, consumption, and maintenance for classic, absorption, and adsorption refrigeration systems that conserve dates palm into these three cold stores. In the end, the comparison of technical and economic elements in tables and figures by enumerating their advantages and inconveniences. Classic Bitzer, Absorption WFC SC 5, and Adsorption AG ACS 15 and 08 are models in which their evaluation is relating to their costs. In Biskra, these results mean that adsorption chiller termed AG ACS (15 plus 08) is illustrious by its parameters of simplicity, lifespan, safety, and security, valued to 1147.5 {\texteuro}/m{\texttwosuperior} and median cost up ten years of using is 92972 {\texteuro}},
	isbn = {3-0357-1736-2},
	author = {Benlouanas, Kamel and Serir, Lazhar}
}
@conference {62655,
	title = {Towards a non monotonic agent testing, reasoning about messages and behavior},
	booktitle = {8th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2021},
	year = {2021},
	month = {2021},
	url = {https://hal.archives-ouvertes.fr/hal-03381954/},
	author = {Douha, Djamel and Mokhtari, Aicha and Guessoum, Zahia}
}
@conference {7274,
	title = {Efficient Approach for Parallel Machine Scheduling Problem},
	booktitle = {International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA 2018)},
	year = {2020},
	address = {Tangier, Morocco},
	abstract = {In this paper, we consider a parallel machine scheduling problem with non-renewable resources. Each job consumes several components and must be processed in one stage composed of identical parallel machines. Resources availability operations, jobs assignment and sequencing are considered and optimized simultaneously. In order to find an optimal solution, an exact method is applied to optimize the total completion time. Due to the problem complexity and prohibitive computational time to obtain an exact solution, a metaheuristic approach based genetic algorithm is proposed and several heuristics are adapted to solve it. Moreover, the impact of non-renewable resources procurement methods on production scheduling is analyzed. The system performances are evaluated in terms of measures such as the solution quality and the execution time. The simulation results show that the proposed genetic algorithm gives the same results as the exact method for small instances and performs the best compared to heuristics for medium and large instances.},
	url = {https://ieeexplore.ieee.org/document/8428302},
	author = {Belkaid, Fay\c cal and Hadri, Abdelkader and Bennekrouf, Mohammed}
}
@conference {6976,
	title = {Inspection on a Three-Dimensional Measuring Machine for a Virtual Model for Additive Manufacturing},
	booktitle = {International Conference on Advances in Mechanical Engineering and Mechanics},
	year = {2020},
	pages = {138{\textendash}143},
	address = {Advances in Mechanical Engineering, Materials and Mechanics},
	abstract = {Today, and to quickly meet the high demands of variability, supply chain efficiency and energy optimization, business markets are looking for modern manufacturing technologies and as a solution, industry 4.0 is using the benefits of integrating modern manufacturing technologies and information systems to promote production capabilities. In this context, intelligent industry represents a new generation of automatic production systems based on the concepts of intelligent industry, intelligent manufacturing, control and intelligent inspection, such as inspection on coordinate measuring machines (CMMs). This technology allows many machines to be integrated into a plant and controlled online using the MBD (Model Based Design) quality system. The problem of conformity of parts with complex geometry is becoming more and more important. The objective of this work is to present a 3D inspection technique on a virtual model (MBD: Model Based Design), using a coordinate measuring machine equipped with a {\textquotedblleft}POWER INSPECT{\textquotedblright} measurement and inspection software. The interest of this technique is to show the impact of the dimensional inspection and geometric tolerance process of the CAD model for the CAI (Computer aided Inspection) approach on the fidelity of the finished product for additive manufacturing (AM) including intelligent industry.},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-52071-7_20},
	author = {Ameddah, Hacene and Selloum, Rabia and Mourad Brioua}
}
@conference {6933,
	title = {OPTIMAL SHAPE REPRODUCTION OF AN INTERVERTEBRAL PROSTHESIS \&ldquo;COFLEX\&rdquo; FOR ADDITIVE MANUFACTURING},
	booktitle = {7th International Conference Integrity-Reliability-Failure},
	year = {2020},
	pages = {487-488},
	publisher = {J.F. Silva Gomes and S.A. Meguid (editors), INEGI-FEUP},
	organization = {J.F. Silva Gomes and S.A. Meguid (editors), INEGI-FEUP},
	abstract = {The coflex Interlaminar Technology is an interlaminar stabilization device indicated for use in one or two level lumbar stenosis from L1-L5. It is used in skeletally mature patients with at least moderate impairment in function who experience relief in flexion from their symptoms of leg/buttocks/groin pain, with or without back pain, and who have undergone at least 6 months of non-operative treatment. Our study is focused on the evaluation and biomechanical analysis of osteosynthesis implants and in particular the Corflex-F implant to redefine a new approach to the "Coflex" interspinatus implant using particles swarm optimisation for additive manufacturing, then to study these biomechanical performances.},
	url = {https://paginas.fe.up.pt/~irf/Proceedings_IRF2020/data/papers/17493.pdf},
	author = {Ameddah, Hacene and Mourad Brioua}
}
@conference {62889,
	title = {Applications of Bayesian networks in Chemical and Process Industries: A review},
	booktitle = {Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019},
	year = {2020},
	month = {2020},
	pages = {3122-3129},
	abstract = {Despite technological advancements, chemical and process industries are still prone to accidents due to their complexity and hazardous installations. These accidents lead to significant losses that represent economic losses and most importantly human losses. Risk management is one of the appropriate tools to guarantee the safe operations of these plants. Risk analysis is an important part of risk management, it consists of different methods such as Fault tree, Bow-tie, and Bayesian network. The latter has been widely applied for risk analysis purposes due to its flexible and dynamic structure. Bayesian networks approaches have shown a significant increase in their application as shown by in the publication in this field. This paper summarizes the result of a literature review performed on Bayesian network approaches adopted to conduct risk assessments, safety and risk analyses. Different application domains are analysed (i.e. accident modelling, maintenance area, fault diagnosis) in chemical and process industries from the year 2006 to 2018. Furthermore, the advantages of different types of Bayesian networks are presented.},
	url = {https://livrepository.liverpool.ac.uk/id/eprint/3054267},
	author = {Zerrouki, Hamza and Estrada-Lugo, Hector Diego and Hacene SMADI and Patelli, Edoardo}
}
@conference {8988128,
	title = {Multi-level approach for controlling architecture quality with Alloy},
	booktitle = {2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS)},
	volume = {1},
	year = {2019},
	month = {Dec},
	pages = {1-8},
	address = {Skikda, Algeria},
	abstract = {
	The software evolution process means the continuous control of functional and non -functional software characteristics by the change of its code without changing the properties of its quality neither the quality of its architecture. Therefore, the most important problem to be treated is how to limit the progressive shifting between the planned and the implemented architecture during the software evolution process. This phenomenon called the erosion of software architecture, often appears unexpectedly and must be controlled. In this paper, we have proposed an approach to detect erosion problems by representing tactical, strategic, and operational architectural constraints at different abstraction levels. These constraints are specified by the use of the Alloy constraint language in order to restore the deviations that may affect the description of the software architecture during the development steps. Our goal is to control architecture quality by limiting the occurrence and impact of erosion, which means the control of architecture conformance during system development and maintenance activities.

},
	doi = {10.1109/ICTAACS48474.2019.8988128},
	url = {https://ieeexplore.ieee.org/document/8988128/authors$\#$authors},
	author = {Salim Kadri and Sofiane Aouag and Djalal HEDJAZI}
}
@conference {64960,
	title = {ANFIS-based Approach to Predict the Degradation-related Ageing ofJunctionless GAA MOSFET},
	booktitle = {14th International Conference on Nanosciences \& Nanotechnologies (NN17), 4-7 July 2017},
	volume = {5},
	year = {2018},
	month = {2018},
	pages = {15949-15958},
	publisher = {Materials Today: Proceedings},
	organization = {Materials Today: Proceedings},
	abstract = {
	The estimation of average lifetime has been considered as a serious reliability concern for VLSI components. However, with the tremendous downscaling of MOSFET devices, it becomes very difficult to predict such measure with satisfactory precision due to the amplified parasitic effects at the deep scale level. The present work aims at investigating the efficiency of adaptive neuro-fuzzy inference system approach as a predictor of junctionless gate all around MOSFET device lifetime. Our predictions are compared versus the numerical results obtained by ATLAS simulator, where a good agreement is obtained.




},
	url = {https://www.sciencedirect.com/science/article/pii/S221478531830909X},
	author = {DJEFFAL Fay{\c c}al}
}
@conference {64952,
	title = {Quaternary fluviatile terraces of the Oued El Gourzi (Batna, NE Algeria): sedimentology and characteristics of the depositional environment},
	booktitle = {CAJG 2018: Paleobiodiversity and Tectono-Sedimentary Records in the Mediterranean Tethys and Related Eastern Areas },
	year = {2018},
	month = {2018},
	pages = {331{\textendash}334},
	abstract = {
	Field observations and sedimentological analyses of alluvial terraces of the O. Gourzi (Batna, NE Algeria) lead us to consider sediments as dominated by clayey and silty-sandy fractions overlain by gravel and calcareous coarser fractions. Moderate CaO3\&nbsp;contents would have resulted from the dissolution of the nearby carbonate relieves. They are mainly composed of Maastrichtian limestones. The distribution of the mineral fraction led us to identify 07 levels including horizons of coarse fractions alternating with layers rich in sand and silt with a roughly constant clay fraction through the stratigraphic column. Kurtosis values, frequency histograms of a prokurtic type, rarily mesokurtic, mark a constant power mode for the transport agent. Classification indices indicate poorly- to moderately sorted material, indicating a turbiditic depositional environment. Quartz grain nature and morphoscopy refer to Miocene sandstones as a potential origin. The ferruginous coating is due to the initiating pedogenesis.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-01452-0_79},
	author = {Djaiz, Fouad and Defaflia, Nabil and Lamouri, Bachir and Boushaba, Abdellah and I, Chairat}
}
@conference {64145,
	title = {Qu\&rsquo;en est-il de la r{\'e}sistance des Ent{\'e}robact{\'e}ries aux C3G en ville et {\`a} l\&rsquo;h{\^o}pital ?},
	booktitle = {18es Journ{\'e}es nationales d{\textquoteright}infectiologie / M{\'e}decine et maladies infectieuses },
	volume = {47},
	year = {2017},
	month = {2017},
	pages = {S29-S30},
	edition = {4},
	url = {https://www.sciencedirect.com/science/article/pii/S0399077X17302226},
	author = {Benamar ,Sonia and Benmehidi, Messaoud and Bouziane, F and Ali Boukhalfa}
}
@conference {65261,
	title = {Asymmetric End-to-End Security for Human-to-Thing Communications in the Internet of Things},
	booktitle = {Modelling and Implementation of Complex Systems},
	year = {2016},
	month = {2016},
	address = {Constantine, Alg{\'e}rie},
	abstract = {
	The Internet of Things (IoT) vision is a groundbreaking networking evolution that connects all things that were not meant to be connected to the Internet. Thus, identification technologies and Internet-enabled wireless sensor nodes will be incorporated in homes, cities, vehicles, watches, etc. making them uniquely identified and able to process and communicate information via Internet. Hence, the emergence of the Internet of Things paradigm will bring a lot of smartness to our daily life and will improve the way people monitor their goods, expenses, environment and health status. The smart connected things in the IoT interact with each other and/or with the regular Internet hosts according to two communications styles: Thing-to-Thing(s) (T2T) and Human-to-Thing (H2T). Enabling security for such communications is a real issue especially in H2T interactions. This is mainly due to scarce resources of the connected objects and the asymmetric nature of the communications between those smart things and the ordinary Internet hosts. In this paper we address this problematic and we propose an asymmetric security model that mitigates H2T communication heterogeneities and provides reasonable security costs.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-33410-3_18},
	author = {SAHRAOUI, Soumia and Azeddine Bilami}
}
@conference {65508,
	title = {Numerical Modeling and Heuristic Algorithms for Nanogenerator Behavior Analysis},
	booktitle = {Conference on Advances in Information Processing and Communication Technology - IPCT},
	year = {2016},
	month = {2016},
	pages = {86 {\textendash} 90},
	address = {Rome, Italy},
	abstract = {
	Recently, the desire for a self-powered micro and nanodevices has attracted a great interest of using sustainable energy sources. Further, the ultimate goal of nanogenerator is to harvest energy from the ambient environment in which a self powered device based on these generators is needed. With the development of nanogeneratorbased circuits design and optimization, the building of new device simulator is necessary for the study and the synthesis of electromecanical parameters of this type of models. In the present article, both numerical modeling and optimization of piezoelectric nanogenerator based on zinc oxide have been carried out. They aim to improve the electromecanical performances, robustness, and synthesis process for nanogenerator. The proposed model has been developed for a systematic study of the nanowire morphology parameters in stretching mode. In addition, heuristic optimization technique, namely, particle swarm optimization has been implemented for an analytic modeling and an optimization of nanogeneratorbased process in stretching mode. Moreover, the obtained results have been tested and compared with conventional model where a good agreement has been obtained for excitation mode. The developed nanogenerator model can be generalized, extended and integrated into simulators devices to study nanogenerator-based circuits.

},
	url = {https://www.researchgate.net/profile/A-Dib/publication/324052383_Numerical_Modeling_and_Heuristic_Algorithms_for_Nanogenerator_Behavior_Analysis/links/609b97f3299bf1cbe2f1f79a/Numerical-Modeling-and-Heuristic-Algorithms-for-Nanogenerator-Behavior-Analysis},
	author = {Dib, A. and Hassam, Abdelouahab and Srairi, Kamel and Saidi, Lamir}
}
@conference {5380201,
	title = {Direct Torque with Fuzzy Logic Torque Ripple Reduction Based Stator Flux Vector Control},
	booktitle = {Second International Conference on Computer and Electrical Engineering},
	volume = {2},
	year = {2009},
	month = {Dec},
	pages = {128-133},
	address = {Dubai, United Arab Emirates},
	abstract = {
	The major disadvantages of the conventional direct torque control (DTC) drive is the steady state ripples in torque and flux Using space vector control (SVM) method reduce the torque and stator flux ripples. In this paper, the use of SVM technique, a torque fuzzy controller is proposed to improve DTC performance and reduce significantly torque ripple. Simulation results will be presented and discussed to prove the effective new of the proposed

},
	doi = {10.1109/ICCEE.2009.236},
	url = {10.1109/ICCEE.2009.236},
	author = {Benaicha, Samira and Zidani, Fatiha and Nait-Said, Rachid and Nait-Said, Med-Said}
}
