@article {98384,
	title = {IoT-based food traceability system: Architecture, technologies, applications, and future trends},
	journal = {Food Control},
	volume = {145},
	year = {2023},
	abstract = {
	An effective Food Traceability System (FTS) in a Food Supply Chain (FSC) should adequately provide all necessary information to the consumer(s), meet the requirements of the relevant agencies, and improve food safety as well as consumer confidence. New\&nbsp;information and communication technologies\&nbsp;are rapidly advancing, especially after the emergence of the Internet of Things (IoT). Consequently, new food traceability systems have become mainly based on IoT. Many studies have been conducted on food traceability. They mainly focused on the practical implementation and theoretical concepts. Accordingly, various definitions, technologies, and principles have been proposed. The {\textquotedblleft}traceability{\textquotedblright} concept has been defined in several ways and each new definition has tried to generalize its previous ones. Nevertheless, no standard definition has been reached. Furthermore, the architecture of IoT-based food traceability systems has not yet been standardized. Similarly, used technologies in this field have not been yet well classified. This article presents an analysis of the existing definitions of food traceability, and thus proposes a new one that aims to be simpler, general, and encompassing than the previous ones. We also propose, through this article, a new architecture for IoT-based food traceability systems as well as a new classification of technologies used in this context. We do not miss discussing the applications of different technologies and future trends in the field of IoT-based food traceability systems. Mainly, an FTS can make use of three types of technologies: Identification and Monitoring Technologies (IMT), Communication Technologies (CT), and Data Management Technologies (DMT). Improving a food traceability system requires the use of the best new technologies. There is a variety of promising technologies today to enhance FTS, such as fifth-generation (5G) mobile communication systems and distributed ledger technology (DLT).

},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0956713522006028},
	author = {Mehannaoui, Raouf and Mouss, Kinza-Nadia and AKSA, Karima}
}
@article {98304,
	title = {BASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobs},
	journal = {International Journal of Production Management and Engineering},
	volume = {11},
	number = {2},
	year = {2023},
	pages = {167-177},
	abstract = {
	In this paper, we present a novel hybrid meta-heuristic by enhancing the Basic Bees Algorithm through the integration of a local search method namely Simulated Annealing and Variable Neighbourhood Search like algorithm. The resulted hybrid bees algorithm (BASA) is used to solve the Single Machine Scheduling Problem with Early/Tardy jobs, where the generated outcomes are compared against the Basic Bees Algorithm (BA), and against some stat-of-the-art meta-heuristics. Computational results reveal that our proposed framework outperforms the Basic Bees Algorithm, and demonstrates a competitive performance compared with some algorithms extracted from the literature.

},
	url = {https://polipapers.upv.es/index.php/IJPME/article/view/18077/16035},
	author = {Abdessemed, Ahmed-Adnane and Mouss, Leila-Hayet and Benaggoune, Khaled}
}
@article {93709,
	title = {Construction of linear codes over $\mathfrak{R}=\sum_{s=0}^{4} v_{5}^{s}\mathcal{A}_{4}$},
	journal = {MATHEMATICAL MODELING AND COMPUTING},
	volume = {10},
	number = {1},
	year = {2023},
	pages = {147{\textendash}158},
	abstract = {
	The aim of this paper is to propose a new family of codes.\&nbsp; We define this family over the ring\&nbsp;R=∑4s=0vs5A4R=∑s=04v5sA4, with\&nbsp;v55=v5v55=v5.\&nbsp; We derive its properties, a generator matrix and Gray images.\&nbsp; This new family of codes is illustrated by three applications.

},
	url = {https://doi.org/10.23939/mmc2023.01.147},
	author = {Malki, M and Chatouh, Karima}
}
@article {93706,
	title = {The premise of a participatory management of urban space. Neighborhood associations: Commitment, militancy and challenge the case of the city of Batna, Algeria},
	journal = {GEOGRAPHY},
	year = {2023},
	abstract = {
	From the 1990s, urban policy in Algeria underwent significant upheavals, including authoritarian management, which was replaced by participatory management. Following the example of Algerian cities, the city of Batna adheres with this new vision, hence the implementation of a partnership program that involves various stakeholders including the citizen. The latter is present within multiple associations. The objective of this work is to highlight the activism of neighborhood associations as a representative element of civil society and their determining role in the management of different situations. To report on this issue, a field survey was conducted in the form of semi-directive interviews addressed to the three local actors: associations, citizens and elected officials.

},
	url = {https://doi.org/10.1080/23311886.2023.2208932},
	author = {Saidani, Ammar and Mahdi KALLA and Bendib, Karima}
}
@article {93585,
	title = {Indirect adaptive fuzzy finite time synergetic control for power systems},
	journal = {Power Stations, Grids and Systems},
	volume = {1},
	year = {2023},
	abstract = {
	Introduction.\&nbsp;Budget constraints in a world ravenous for electrical power have led utility companies to operate generating stations with full power and sometimes at the limit of stability. In such drastic conditions the occurrence of any contingency or disturbance may lead to a critical situation starting with poorly damped oscillations followed by loss of synchronism and power system instability. In the past decades, the utilization of supplementary excitation control signals for improving power system stability has received much attention. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp low-frequency oscillations caused by load disturbances or short-circuit faults. 



	Problem.\&nbsp;Adaptive power system stabilizers have been proposed to adequately deal with a wide range of operating conditions, but they suffer from the major drawback of requiring parameter model identification, state observation and on-line feedback gain computation. Power systems are nonlinear systems, with configurations and parameters that fluctuate with time that which require a fully nonlinear model and an adaptive control scheme for a practical operating environment. A new nonlinear adaptive fuzzy approach based on synergetic control theory which has been developed for nonlinear power system stabilizers to overcome above mentioned problems. 



	Aim.\&nbsp;Synergetic control theory has been successfully applied in the design of power system stabilizers is a most promising robust control technique relying on the same principle of invariance found in sliding mode control, but without its chattering drawback. In most of its applications, synergetic control law was designed based on an asymptotic stability analysis and the system trajectories evolve to a specified attractor reaching the equilibrium in an infinite time. In this paper an indirect finite time adaptive fuzzy synergetic power system stabilizer for damping local and inter-area modes of oscillations for power systems is presented.\&nbsp;



	Methodology.\&nbsp;The proposed controller design is based on an adaptive fuzzy control combining a synergetic control theory with a finite-time attractor and Lyapunov synthesis. Enhancing existing adaptive fuzzy synergetic power system stabilizer, where fuzzy systems are used to approximate unknown system dynamics and robust synergetic control for only providing asymptotic stability of the closed-loop system, the proposed technique procures finite time convergence property in the derivation of the continuous synergetic control law. Analytical proofs for finite time convergence are presented confirming that the proposed adaptive scheme can guarantee that system signals are bounded and finite time stability obtained.\&nbsp;



	Results.\&nbsp;The performance of the proposed stabilizer is evaluated for a single machine infinite bus system and for a multi machine power system under different type of disturbances. Simulation results are compared to those obtained with a conventional adaptive fuzzy synergetic controller.

},
	url = {http://eie.khpi.edu.ua/article/view/267200},
	author = {Khatir, Abdelfatah and Bouchama, Ziyad and Said Benaggoune and Zerroug, Nadjat}
}
@article {93566,
	title = {Cascade sliding mode maximum power point tracking controller for photovoltaic systems},
	journal = {Power Stations, Grids and Systems},
	volume = {1},
	year = {2023},
	abstract = {
	Introduction.\&nbsp;Constant increases in power consumption by both industrial and individual users may cause depletion of fossil fuels and environmental pollution, and hence there is a growing interest in clean and renewable energy resources. Photovoltaic power generation systems are playing an important role as a clean power electricity source in meeting future electricity demands.



	\&nbsp;Problem. All photovoltaic systems have two problems; the first one being the very low electric-power generation efficiency, especially under low-irradiation states; the second resides in the interdependence of the amount of the electric power generated by solar arrays and the ever changing weather conditions. Load mismatch can occur under these weather varying conditions such that maximum power is not extracted and delivered to the load. This issue constitutes the so-called maximum power point tracking problem.\&nbsp;



	Aim.\&nbsp;Many methods have been developed to determine the maximum power point under all conditions. There are various methods, in most of them based on the well-known principle of perturb and observe. In this method, the operating point oscillates at a certain amplitude, no matter whether the maximum power point is reached or not. That is, this oscillation remains even in the steady state after reaching the maximum power point, which leads to power loss. This is an essential drawback of the previous method. In this paper, a cascade sliding mode maximum power point tracking control for a photovoltaic system is proposed to overcome above mentioned problems.\&nbsp;



	Methodology.\&nbsp;The photovoltaic system is mainly composed of a solar array, DC/DC boost converter, cascade sliding mode controller, and an output load. Two sliding mode control design strategies are joined to construct the proposed controller. The primary sliding mode algorithm is designed for maximum power point searching, i.e., to track the output reference voltage of the solar array. This voltage is used to manipulate the setpoint of the secondary sliding mode controller, which is used via the DC-DC boost converter to achieve maximum power output.\&nbsp;



	Results.\&nbsp;This novel approach provides a good transient response, a low tracking error and a very fast reaction against the solar radiation and photovoltaic cell temperature variations. The simulation results demonstrate the effectiveness of the proposed approach in the presence of environmental disturbances.

},
	url = {http://eie.khpi.edu.ua/article/view/266115},
	author = {Hessad, M-A and Bouchama, Ziyad and Benaggoune, S and Behih, K}
}
@article {93565,
	title = {Optimal Design of 1.2 MVA Medium Voltage Power Electronic Traction Transformer for AC 15 kV/16.7 Hz Railway Grid},
	journal = {Journal of the Korean Society for Railway },
	volume = {26},
	number = {2},
	year = {2023},
	abstract = {
	This paper deals with the design and optimization of a 1.2 MVA medium-voltage (MV) power electronic traction transformer (PETT) for an AC 15 kV/16.7 Hz railway grid, in which a simple two-stage multi-cell PETT topology consisting of a bidirectional 170 kW, 2.5 kV AC rms to 6 kV DC power factor corrected (PFC) converter stage followed by a bidirectional isolated 46 kHz, 6 kV to 1.5 kV series resonant DC/DC converter for each cell is presented. This paper presents a methodology that maximizes the converter"s efficiency and minimizes the converter"s size and weight. Accordingly, the first stage employs 10 kV SiC MOSFETs based on the integrated Triangular Current Mode (iTCM). The second stage uses 10 kV SiC MOSFETs on the MV-side, 3.3 kV SiC MOSFETs on the LV-side, and a medium frequency (MF) MV transformer operating at 46 kHz. MF transformers offer a way to reduce weight and improve energy efficiency, particularly in electric multiple-unit applications. The MF MV transformer requires power electronic converters, which invert and rectify the voltages and currents at the desired operating frequency. The development of high voltage SiC MOSFETs, which can be used instead of Si IGBTs in PETT topologies, increases the operating frequency without reducing the converter"s efficiency. The designed MV PETT achieves 98.95\% efficiency and 0.76 kVA/kg power density.

},
	url = {https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11221236},
	author = {Lahrech, Mohamed-Hichem and Lahrech, Ahmed-Chaouki and Abdelhadi, Bachir}
}
@article {93554,
	title = {Highly efficient Cd-Free ZnMgO/CIGS solar cells via effective band-gap tuning strategy},
	journal = {Journal of Computational Electronics },
	volume = {22},
	year = {2023},
	pages = {887{\textendash}896},
	abstract = {
	This work proposes a new modeling framework based on combining graded band-gap (GBG) engineering and metaheuristic optimization to improve the Cd-Free ZnMgO/CIGS solar cell performances. Analytical and numerical calculations are carried out to assess the influence of band-gap profiles of both buffer and active layers on the electronic and optical properties of the studied solar cell. This investigation shows a great improvement of solar cell efficiency by increasing the optoelectronic figures of merit through tuning and optimizing the band-gap profiles and the conduction band offset at the ZnMgO/CIGS interface. Moreover, metaheuristic-based optimization models are developed to optimize the GBG profiles and enhance the optical and electrical performances of the solar cell. In this context, we recorded very satisfactory results, where the optimized design with GBG paradigm offers a high efficiency of 31.88\% compared to 23.35\% provided by the conventional CdS/CIGS solar cell. Therefore, this study provides a new strategy in enhancing the efficiency of thin-film solar cells by exploiting the graded band-gap engineering combined with metaheuristic optimization approach.

},
	url = {https://link.springer.com/article/10.1007/s10825-023-02028-6},
	author = {Maoucha, A. and Ferhati, H and Djeffal, F and AbdelMalek, F}
}
@article {93553,
	title = {A Robust Iris Recognition Approach Based on Transfer Learning},
	journal = {International Journal of Computing and Digital Systems},
	volume = {137},
	number = {1},
	year = {2023},
	abstract = {
	Iris texture is one of the most secure biometric characteristics used for person recognition, where the most significant step in the iris identification process is effective features extraction. Deep Convolutional Neural network models have been achieved massive success in the features extraction field in recent years, but several of these models have tens to hundreds of millions of parameters, which affect the computational time and resources. A lot of systems proposed in the iris recognition field extract features from normalized iris images after applying many pre-processing steps. These steps affect the quality and computational efficiency of these systems; also, occlusion, reflections, blur, and illumination variation affect the quality of features extracted. This paper proposed a new robust approach for iris recognition that locates the iris region based on the YOLOv4-tiny, then it extracts features without using iris images{\textquoteright} pre-processing, which is a delicate task. In addition, we have proposed an effective model that accelerated the feature extraction process by reducing the architecture of the Inception-v3 model. The obtained results on four benchmark datasets validate the robustness of our approach, where we achieved average accuracy rates of 99.91\%, 99.60\%, 99.91\%, and 99.19\% on the IITD, CASIA-Iris-V1, CASIA-Iris-Interval, and CASIA-Iris-Thousand datasets, respectively.

},
	url = { http://dx.doi.org/10.12785/ijcds/130186},
	author = {Hattab,  Abdessalam and Behloul, Ali}
}
@article {93552,
	title = {An inverse problem for the Schr{\"o}dinger equation with Neumann boundary condition},
	journal = {Advances in Pure and Applied Mathematics},
	volume = {14},
	number = {1},
	year = {2023},
	pages = {50-69},
	abstract = {
	Thisarticleconcernstheinverse problem of the recoveryof unknown potential coefficient for the Schr{\"o}dinger equation, in a bounded domain of Rn with non-homogeneous Neumann boundary condition from a time-dependent Dirich let boundary measurement. We prove uniqueness and Lipschitz stability for this inverse problem under certain convexity hypothesis on the geometry of the spatial domain and under weak regularity requirements on the data. The proof is based on aCarleman estimate in [12] for Schr{\"o}dinger equations and its resulting implication, a continuous observability inequality. Mathematics Subject Classification. 35R30, 35Q40, 49K20.

},
	url = {https://www.openscience.fr/IMG/pdf/iste_apam23v14n1_4.pdf},
	author = {Saci,  Atef and Rebiai, Salah-Eddine}
}
@article {93546,
	title = {Stability Radii of Infinite-Dimensional Discrete-Time Systems Discomfited by Stochastic Perturbations},
	journal = {Discontinuity, Nonlinearity, and Complexity},
	volume = {12},
	number = {1},
	year = {2023},
	pages = {35-56},
	abstract = {
	This research uses the stability radius approach to investigate the robust stability of an infinite-dimensional linear discrete-time system subjected to stochastic perturbations. First, we characterize the stability radius in terms of a Lyapunov equation. These characterizations improve a computational formula for calculating the stability radius. The second goal is to study how state feedback can maximize the stability radius. We characterize the maximum attainable stability radius using an infinite-dimensional discrete-time Riccati equation. Examples are provided to demonstrate the achieved outcomes.

},
	url = {10.5890/DNC.2023.03.004},
	author = {Yahiaoui, Leila and Kada, Maissa and MENNOUNI, ABDELAZIZ}
}
@article {7782,
	title = {Contribution to the analysis of driver behavioral deviations leading to road crashes at work},
	journal = {IATSS Research},
	volume = {47},
	number = {2},
	year = {2023},
	pages = {225-232},
	abstract = {Most road crashes at work are caused by Driver Behavioral Drift (DBD). This DBD has become a recurring issue on congested road sections. In this context, this study proposes a method called (MASOCU-DBD) which allows to analyze this DBD problem in two steps: assessment of the dynamics of DBD occurrence using a model called BM-NSA and analysis of DCC using a Cost-Benefit Analysis (CBA) weighted by the Analysis Hierarchical Process (AHP). The application of the MASOCU-DBD on a road section of an Algerian city{\textquoteright}s entry highlighted the problem of the DBD in terms of its occurrence and uselessness in the studied section. The merit of the proposed method is that it uses multi-criteria analysis tools (AHP and CBA) as well as a mathematical model (BM-NSA) to analyze professional drivers{\textquoteright} behavioral deviations.},
	url = {https://www.sciencedirect.com/science/article/pii/S0386111223000146?via\%3Dihub},
	author = {Yamina Heddar and M{\'e}barek Djebabra and Mohammed Belkhiri and Saaddi, Saadia}
}
@article {7786,
	title = {Failure probability assessment of emergency safety barriers integrating an extension of event tree analysis and Fuzzy type-2 analytic hierarchy process},
	journal = {Systems Engineering},
	volume = {26},
	number = {5},
	year = {2023},
	pages = {641-659},
	abstract = {Liquefied petroleum gas (LPG) storage fires and explosions occur due to uncontrolled gas leaks and the gradual breakdown of associated safety barriers. By installing an effective safety barrier, these accidents can be greatly reduced. However, this study assesses the probability of failure of emergency safety barriers (ESBs) to help decision makers understand how they can support decisions to reduce the risks associated with LPG storage. In this context, an extension of the event tree analysis is proposed named emergency event tree analysis (EETA). The aim of this paper is to develop an integrated approach that uses interval type-2 fuzzy sets and Analytic Hierarchy Process (AHP) method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers (ESBs). In addition, a case study on the failure probability assessment of the emergency safety barriers of the LPG plant in Algeria based on the proposed methodology is provided and carried out to illustrate its effectiveness and feasibility. The results demonstrated the ability of interval type-2 fuzzy sets and the AHP method to provide highly reliable results and to evaluate the failure probability of emergency safety barriers in emergencies situations. However, the classical event tree analysis (CETA) does not take into account the possibility of assessing the emergency consequences of different accident scenarios. Consequently, it only allows you to estimate the occurrence probability of accident scenarios. The results of this study show that the value of the probability of failure of the emergency safety barriers can be used to estimate the probability of occurrence of emergency consequences under different accident scenarios, improved the reliability and help prioritize emergency improvement measures. The study provides scientific and operational references for analyzing emergency consequences of the various accident scenarios in all fields such as petrochemical, maritime industry, and health occupational.},
	url = {https://incose.onlinelibrary.wiley.com/doi/10.1002/sys.21668},
	author = {Daas, Samia and Innal, Fares}
}
@article {7783,
	title = {New Hybrid MCDM Approach for an Optimal Selection of Maintenance Strategies: Results of a Case Study},
	journal = {SPE Prod \& Oper},
	volume = {38},
	number = {4},
	year = {2023},
	pages = {724{\textendash}745},
	abstract = {Industrial systems are becoming more sophisticated, and their failure can result in significant losses for the company in terms of production loss, maintenance costs, fines, image loss, etc. Conventional approaches to modeling and evaluating the failure mechanisms of these systems do not consider certain important aspects, such as the interdependencies between failure modes (FMs) with information and data containing uncertainties as they are generally collected from experts{\textquoteright} judgments. These restrictions may lead to improper decision-making. The use of more advanced techniques to model and assess the interdependencies among components{\textquoteright} failures under uncertainties seems to be more than necessary to overcome these deficiencies. It is in this context that the proposed approach fits. It consists of proposing a hybrid multicriteria decision-aking (MCDM) approach that combines several techniques for a better selection of maintenance strategies. Using the failure mode and effects analysis (FMEA) technique, the potential FMs of components, along with their causes and effects, are identified. The relative importance (or weight) of these FMs is determined using the fuzzy simple additive weighing (FSAW) method based on how they affect the system{\textquoteright}s goals. The causal relationships between FMs and their final weights are determined by the fuzzy cognitive maps (FCM) method and the nonlinear Hebbian learning and differential evolution (NHL-DE) algorithm. Finally, based on the final FM weights provided by the FCM, the simple additive weighing (SAW) method is used to select the optimal maintenance strategies. The results of applying the proposed approach to an operating compressor lubrication and sealing oil system demonstrate its importance and usefulness in assisting system operators to efficiently allocate the optimal maintenance strategies, considering the strong correlation between FMs and their effects on system performance while accounting for the uncertainties associated with experts{\textquoteright} judgments. These correlation effects have led to changes in the assigned weights of the selected FMs. Specifically, the FM related to the low output of the lube/seal oil pump, which was initially assigned a lower priority, and with the correlation effects has become the first critical FM. This shift in prioritization emphasizes the need to address this particular FM promptly. By focusing on addressing these high-priority FMs, maintenance efforts can be optimized to prevent or mitigate more severe consequences. Among the various maintenance strategies evaluated, it was determined that the combination of condition-based maintenance (CBM) and precision maintenance (PrM) yields the most favorable outcome in terms of mitigating the impact of accidental failures and undesired events on the selected system.},
	url = {https://onepetro.org/PO/article-abstract/38/04/724/523807/New-Hybrid-MCDM-Approach-for-an-Optimal-Selection?redirectedFrom=fulltext},
	author = {Khanfri, N. E. H and N OUAZRAOUI and Simohammed, A and I SELLAMI}
}
@article {7787,
	title = {Optimization the reliability of emergency safety barriers based on the subjective safety analysis and evidential reasoning theory. Case study},
	journal = {International Journal of Quality \& Reliability Management},
	year = {2023},
	abstract = {Purpose This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers. Design/methodology/approach The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert{\textquoteright}s imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis. Findings A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the\&nbsp;possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action {\textquotedblleft}use of periodic maintenance tests{\textquotedblright} prioritizes reliability, optimization and improvement of safety procedures. Research limitations/implications This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account. Originality/value Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.},
	url = {https://www.emerald.com/insight/content/doi/10.1108/IJQRM-11-2022-0336/full/html},
	author = {Daas, Samia and Innal, Fares}
}
@article {7781,
	title = {Reliability degradation prediction of photovoltaic modules based on dependability methods},
	journal = {International Journal of Quality \& Reliability Management},
	volume = {40},
	number = {2},
	year = {2023},
	pages = {478-495},
	abstract = {Purpose The reliability prediction is among the most important objectives for achieving overall system performance, and this prediction carried out by anticipating system performance degradation. In this context, the purpose of this research paper is to development of methodology for the photovoltaic (PV) modules{\textquoteright} reliability prediction taking into account their future operating context. Design/methodology/approach The proposed methodology is framed by dependability methods, in this regard, two methods of dysfunctional analysis were used, the Failure Mode and Effects Criticality Analysis (FMECA) method is carried out for identification of the degradation modes, and the Fault Tree Analysis (FTA) method is used for identification the causes of PV modules degradation and the parameters influencing its degradation. Then, based on these parameters, accelerated tests have been used to predict the reliability of PV modules. Findings The application of the proposed methodology on PWX 500 PV modules{\textquoteright} in different regions of Algeria makes it possible to predict its reliability, taking into account the future constraints on its operation. In this case, the temperature and relative humidity vary from one region to another was chosen as constraints. The results obtained from the different regions confirms the reliability provided by the designer of the Saharan cities Biskra, In Salah, Tamanraset, and affirms this value for the two Mediterranean cities of Oran and Algiers. Originality/value The proposed methodology is developed for the reliability prediction of the PV modules taking into account their future operating context and, the choice of different regions confirms or disproves the reliability provided by the designer of the PV modules studied. This application confirms their performance within the framework of the reliability prediction.},
	url = {https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2021-0239/full/html},
	author = {Hefaidh Hadef and M{\'e}barek Djebabra and Belkhir Negrou and Zied, Driss}
}
@article {7785,
	title = {Unavailability Assessment Based on Improved-Dependent Uncertain Ordered Weighted Averaging Operator and Fault Tree Analysis},
	journal = {International Journal of Reliability, Quality and Safety Engineering},
	volume = {30},
	number = {5},
	year = {2023},
	abstract = {The fire-fighting system is one of the proactive technical barriers related to liquefied petroleum gas storage tank safety. This paper presents an integrated approach that uses fuzzy set theory, an improved-dependent uncertain ordered weighted averaging operator and fault tree analysis to handle uncertainty in the unavailability assessment of fire-fighting systems. In this study, the center of area is used to defuzzify triangular fuzzy numbers. Furthermore, for the fire-fighting system fault tree, importance analysis, including Fussell{\textendash}Vesely importance measure and risk reduction worth of basic events, are performed to identify the weak links of the fire-fighting system. In addition, a real case study on a fire-fighting system for a liquefied petroleum gas storage system in an LPG unit in Algeria is provided to illustrate the effectiveness of the proposed methodology. The research results show that the proposed methodology makes it possible to assess the unavailability of the entire system by analyzing weak links. Consequently, some suggestions are given to take preventive{\textendash}corrective actions in advance, in order to reduce the failure probability of fire-fighting system and assist the practitioners in setting priorities for improving safety procedures in liquefied petroleum gas storage tanks. The study provides references for analyzing safety barriers in a complex system.},
	url = {https://www.worldscientific.com/doi/10.1142/S0218539323500183},
	author = {Daas, Samia and Innal, Fares}
}
@article {alyafeai_ashaar_2023,
	title = {Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches},
	journal = {arXiv preprint arXiv:2307.06218},
	year = {2023},
	author = {Alyafeai, Zaid and Al-Shaibani, Maged S and Ahmed, Moataz}
}
@article {83780,
	title = {ON THE CLASS OF n-NORMAL OPERATORS AND MOORE-PENROSE INVERSE},
	journal = {Advances in Mathematics: Scientific Journal},
	volume = {12},
	number = {1},
	year = {2023},
	pages = {1{\textendash}16},
	abstract = {
	Let T ∈ B(H) be a bounded linear operator on a complex Hilbert space H. For n ∈ N, an operator T ∈ B(H) is said to be n-normal if T nT * = T *T n. In this paper we investigate a necessary and sufficient condition for the n-normality of ST and T S, where S, T ∈ B(H). As a consequence, we generalize Kaplansky theorem for normal operators to n-normal operators. Also, In this paper, we provide new characterizations of n-normal operators by certain conditions involving powers of Moore-Penrose inverse.

},
	url = {https://www.research-publication.com/amsj/uploads/papers/vol-12/iss-01/AMSJ-2023-N01-01.pdf},
	author = {Elgues, Anissa and Menkad, Safa}
}
@article {83374,
	title = {Cascade sliding mode maximum power point tracking controller for photovoltaic systems},
	journal = {Electrical Engineering \& Electromechanics},
	volume = {1},
	year = {2023},
	abstract = {
	Introduction.\&nbsp;Constant increases in power consumption by both industrial and individual users may cause depletion of fossil fuels and environmental pollution, and hence there is a growing interest in clean and renewable energy resources. Photovoltaic power generation systems are playing an important role as a clean power electricity source in meeting future electricity demands.\&nbsp;



	Problem. All photovoltaic systems have two problems; the first one being the very low electric-power generation efficiency, especially under low-irradiation states; the second resides in the interdependence of the amount of the electric power generated by solar arrays and the ever changing weather conditions. Load mismatch can occur under these weather varying conditions such that maximum power is not extracted and delivered to the load. This issue constitutes the so-called maximum power point tracking problem.



	\&nbsp;Aim.\&nbsp;Many methods have been developed to determine the maximum power point under all conditions. There are various methods, in most of them based on the well-known principle of perturb and observe. In this method, the operating point oscillates at a certain amplitude, no matter whether the maximum power point is reached or not. That is, this oscillation remains even in the steady state after reaching the maximum power point, which leads to power loss. This is an essential drawback of the previous method. In this paper, a cascade sliding mode maximum power point tracking control for a photovoltaic system is proposed to overcome above mentioned problems.\&nbsp;



	Methodology.\&nbsp;The photovoltaic system is mainly composed of a solar array, DC/DC boost converter, cascade sliding mode controller, and an output load. Two sliding mode control design strategies are joined to construct the proposed controller. The primary sliding mode algorithm is designed for maximum power point searching, i.e., to track the output reference voltage of the solar array. This voltage is used to manipulate the setpoint of the secondary sliding mode controller, which is used via the DC-DC boost converter to achieve maximum power output.\&nbsp;



	Results.\&nbsp;This novel approach provides a good transient response, a low tracking error and a very fast reaction against the solar radiation and photovoltaic cell temperature variations. The simulation results demonstrate the effectiveness of the proposed approach in the presence of environmental disturbances.

},
	url = {http://eie.khpi.edu.ua/article/view/266115},
	author = {Hessad, M-A and Bouchama, Ziyad and Benaggoune, Sa{\"\i}d and Behih, K}
}
@article {83373,
	title = {Indirect adaptive fuzzy finite time synergetic control for power systems},
	journal = {Electrical Engineering \& Electromechanics},
	volume = {1},
	year = {2023},
	abstract = {
	Introduction.\&nbsp;Budget constraints in a world ravenous for electrical power have led utility companies to operate generating stations with full power and sometimes at the limit of stability. In such drastic conditions the occurrence of any contingency or disturbance may lead to a critical situation starting with poorly damped oscillations followed by loss of synchronism and power system instability. In the past decades, the utilization of supplementary excitation control signals for improving power system stability has received much attention. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp low-frequency oscillations caused by load disturbances or short-circuit faults. Problem.\&nbsp;Adaptive power system stabilizers have been proposed to adequately deal with a wide range of operating conditions, but they suffer from the major drawback of requiring parameter model identification, state observation and on-line feedback gain computation. Power systems are nonlinear systems, with configurations and parameters that fluctuate with time that which require a fully nonlinear model and an adaptive control scheme for a practical operating environment. A new nonlinear adaptive fuzzy approach based on synergetic control theory which has been developed for nonlinear power system stabilizers to overcome above mentioned problems.



	Aim.\&nbsp;Synergetic control theory has been successfully applied in the design of power system stabilizers is a most promising robust control technique relying on the same principle of invariance found in sliding mode control, but without its chattering drawback. In most of its applications, synergetic control law was designed based on an asymptotic stability analysis and the system trajectories evolve to a specified attractor reaching the equilibrium in an infinite time. In this paper an indirect finite time adaptive fuzzy synergetic power system stabilizer for damping local and inter-area modes of oscillations for power systems is presented.\&nbsp;



	Methodology.\&nbsp;The proposed controller design is based on an adaptive fuzzy control combining a synergetic control theory with a finite-time attractor and Lyapunov synthesis. Enhancing existing adaptive fuzzy synergetic power system stabilizer, where fuzzy systems are used to approximate unknown system dynamics and robust synergetic control for only providing asymptotic stability of the closed-loop system, the proposed technique procures finite time convergence property in the derivation of the continuous synergetic control law. Analytical proofs for finite time convergence are presented confirming that the proposed adaptive scheme can guarantee that system signals are bounded and finite time stability obtained.\&nbsp;



	Results.\&nbsp;The performance of the proposed stabilizer is evaluated for a single machine infinite bus system and for a multi machine power system under different type of disturbances. Simulation results are compared to those obtained with a conventional adaptive fuzzy synergetic controller.

},
	url = {http://eie.khpi.edu.ua/article/view/267200},
	author = {Khatir, Abdelfatah and Bouchama, Ziyad and Benaggoune, Sa{\"\i}d and Zerroug, Nadjat}
}
@article {83367,
	title = {Global convergence towards statistical independence for noisy mixtures of stationary and non-stationary signals},
	journal = {International Journal of Information Technology},
	volume = {15},
	year = {2023},
	pages = {833{\textendash}843},
	abstract = {
	This article deals with the problem of blind separation of statistically independent sources from the instantaneous linear model (n {\texttimes} n). When the observation signals are affected by the additive white gaussian noise (AWGN), the implementation of the proposed solution is performed by following three steps. The first step is a whitening process. The second step aims to convert the uncorrelated signals into statistically independent signals. The last step consists in reducing the noise existing in the noisy estimations. The main part of the proposed solution is to determine the adequate rotating angle (θ) that maximizes the kurtosis of the whitened signals. This rotating angle is obtained through the use of optimization techniques by applying a genetic algorithm. The proposed solution has the advantage of not converging to a local maximum, and also the separation method can be easily generalized to converge directly towards the global maximum for the case of several sources. The results obtained by applying many simulations, prove the effectiveness and the performance of the proposed method even in the noisy case and whatever the type of the signals (stationary or non-stationary).

},
	url = {https://link.springer.com/article/10.1007/s41870-022-01146-x},
	author = {Smatti, El-Mouataz-Billah and Arar, Djemai}
}
@article {83363,
	title = {Optimal Design of 1.2 MVA Medium Voltage Power Electronic Traction Transformer for AC 15 kV/16.7 Hz Railway Grid},
	journal = {Journal of the Korean Society for Railway},
	volume = {26},
	number = {2},
	year = {2023},
	pages = {70-88},
	abstract = {
	This paper deals with the design and optimization of a 1.2 MVA medium-voltage (MV) power electronic traction transformer (PETT) for an AC 15 kV/16.7 Hz railway grid, in which a simple two-stage multi-cell PETT topology consisting of a bidirectional 170 kW, 2.5 kV AC rms to 6 kV DC power factor corrected (PFC) converter stage followed by a bidirectional isolated 46 kHz, 6 kV to 1.5 kV series resonant DC/DC converter for each cell is presented. This paper presents a methodology that maximizes the converter"s efficiency and minimizes the converter"s size and weight. Accordingly, the first stage employs 10 kV SiC MOSFETs based on the integrated Triangular Current Mode (iTCM). The second stage uses 10 kV SiC MOSFETs on the MV-side, 3.3 kV SiC MOSFETs on the LV-side, and a medium frequency (MF) MV transformer operating at 46 kHz. MF transformers offer a way to reduce weight and improve energy efficiency, particularly in electric multiple-unit applications. The MF MV transformer requires power electronic converters, which invert and rectify the voltages and currents at the desired operating frequency. The development of high voltage SiC MOSFETs, which can be used instead of Si IGBTs in PETT topologies, increases the operating frequency without reducing the converter"s efficiency. The designed MV PETT achieves 98.95\% efficiency and 0.76 kVA/kg power density.

},
	url = {https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11221236},
	author = {Lahrech, Mohamed-Hichem and Lahrech, Ahmed-Chaouki and Abdelhadi, Bachir}
}
@article {7225,
	title = {Development of an advanced application process of Lean Manufacturing approach based on a new integrated MCDM method under Pythagorean fuzzy environment},
	journal = {Journal of Cleaner Production},
	volume = {386},
	year = {2023},
	abstract = {The growth of manufacturing industries and the huge competitive environment forced manufacturing organizations to develop advanced improvement strategies and enhance their sustainability performance. The integration of sustainable Manufacturing in industrial operations leads to enhanced process performances through the reduction of wastes, cost, and environmental impacts and satisfies ergonomic conditions. For this reason, various firms have adopted sustainable manufacturing concepts to enhance their performances and hold a prestigious competitive position. The purpose of this research is to develop an integrated Pythagorean Fuzzy MCDM model to enhance the application process of the conventional Lean Manufacturing approach (LM). Firstly, an extended Value Steam Mapping is proposed to assess the sustainability of the manufacturing process and identify the causes of waste from a sustainability viewpoint. Secondly, Pythagorean Fuzzy Decision-Making Trial And Evaluation Laboratory (PF-DEMATEL) is employed to analyze the interrelationship among the identified. Thirdly, Pythagorean Fuzzy Technique for Order Preference by Similarity to Ideal Solution (PF-TOPSIS) is introduced to prioritize a set of solutions in order to overcome the investigated causes and improve the durability of the manufacturing operations. Finally, sensitivity analysis is conduced to assess the effectiveness of the obtained results. The proposed method has several attractive features. It can address the drawbacks of the conventional LM and enhance its analysis and improvement tasks. However, the proposed approach offers an advanced application process for Lean Manufacturing in a sustainability context. Additionally, the suggested strategy facilitates the leaders to assess the current state of the manufacturing processes and select the appropriate solutions for successful sustainability implementation. The validity of the proposed approach was investigated in a real case study. The results confirm its effectiveness and indicate that using MCDM approaches in LM application process offers a consistent and flexible demarche for sustainable manufacturing implementation.},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0959652622053057},
	author = {Soltani, Mohyiddine and Aouag, Hichem and Anass, Cherrafi and Mouss, Mohamed Djamel}
}
@article {7205,
	title = {Federated Learning for Condition Monitoring of Industrial Processes: A Review on Fault Diagnosis Methods, Challenges, and Prospects},
	journal = {Electronics},
	volume = {12},
	number = {1},
	year = {2023},
	abstract = {Condition monitoring (CM) of industrial processes is essential for reducing downtime and increasing productivity through accurate Condition-Based Maintenance (CBM) scheduling. Indeed, advanced intelligent learning systems for Fault Diagnosis (FD) make it possible to effectively isolate and identify the origins of faults. Proven smart industrial infrastructure technology enables FD to be a fully decentralized distributed computing task. To this end, such distribution among different regions/institutions, often subject to so-called data islanding, is limited to privacy, security risks, and industry competition due to the limitation of legal regulations or conflicts of interest. Therefore, Federated Learning (FL) is considered an efficient process of separating data from multiple participants to collaboratively train an intelligent and reliable FD model. As no comprehensive study has been introduced on this subject to date, as far as we know, such a review-based study is urgently needed. Within this scope, our work is devoted to reviewing recent advances in FL applications for process diagnostics, while FD methods, challenges, and future prospects are given special attention.},
	url = {https://www.mdpi.com/2079-9292/12/1/158?type=check_update\&version=1},
	author = {Berghout, Tarek and Benbouzid, Mohamed and Bentrcia, Toufik and Lim, Wei-Hong and Amirat, Yassine}
}
@article {7224,
	title = {Improvement of Lean Manufacturing approach based on MCDM techniques for sustainable manufacturing},
	journal = {International Journal of Manufacturing Research},
	volume = {18},
	number = {1},
	year = {2023},
	abstract = {Over the past few decades, Lean Manufacturing (LM) has been the pinnacle of strategies applied for cost and waste reduction. However as the search for competitive advantage and production growth continues, there is a growing consciousness towards environmental preservation. With this consideration in mind this research investigates and applies Value Stream Mapping (VSM) techniques to aid in reducing environmental impacts of manufacturing companies. The research is based on empirical observation within the Chassis weld plant of Company X. The observation focuses on the weld operations and utilizes the cross member line of Auxiliary Cross as a point of study. Using various measuring instruments to capture the emissions emitted by the weld and service equipment, data is collected. The data is thereafter visualised via an Environmental Value Stream Map (EVSM) using a 7-step method. It was found that the total lead-time to build an Auxiliary Cross equates to 16.70 minutes and during this process is emitted. It was additionally found that the UPR x LWR stage of the process indicated both the highest cycle time and carbon emissions emitted and provides a starting point for investigation on emission reduction activity. The EVSM aids in the development of a method that allows quick and comprehensive analysis of energy and material flows. The results of this research are important to practitioners and academics as it provides an extension and further capability of Lean Manufacturing tools. Additionally, the EVSM provides a gateway into realising environmental benefits and sustainable manufacturing through Lean Manufacturing.},
	url = {https://www.sciencegate.app/document/10.1504/ijmr.2023.10040708},
	author = {Aouag, Hichem and Soltani, Mohyiddine}
}
@article {7231,
	title = {IoT-based food traceability system: Architecture, technologies, applications, and future trends},
	journal = {Food Control},
	volume = {145},
	year = {2023},
	abstract = {An effective Food Traceability System (FTS) in a Food Supply Chain (FSC) should adequately provide all necessary information to the consumer(s), meet the requirements of the relevant agencies, and improve food safety as well as consumer confidence. New information and communication technologies are rapidly advancing, especially after the emergence of the Internet of Things (IoT). Consequently, new food traceability systems have become mainly based on IoT. Many studies have been conducted on food traceability. They mainly focused on the practical implementation and theoretical concepts. Accordingly, various definitions, technologies, and principles have been proposed. The {\textquotedblleft}traceability{\textquotedblright} concept has been defined in several ways and each new definition has tried to generalize its previous ones. Nevertheless, no standard definition has been reached. Furthermore, the architecture of IoT-based food traceability systems has not yet been standardized. Similarly, used technologies in this field have not been yet well classified. This article presents an analysis of the existing definitions of food traceability, and thus proposes a new one that aims to be simpler, general, and encompassing than the previous ones. We also propose, through this article, a new architecture for IoT-based food traceability systems as well as a new classification of technologies used in this context. We do not miss discussing the applications of different technologies and future trends in the field of IoT-based food traceability systems. Mainly, an FTS can make use of three types of technologies: Identification and Monitoring Technologies (IMT), Communication Technologies (CT), and Data Management Technologies (DMT). Improving a food traceability system requires the use of the best new technologies. There is a variety of promising technologies today to enhance FTS, such as fifth-generation (5G) mobile communication systems and distributed ledger technology (DLT).},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0956713522006028$\#$!},
	author = {Mehannaoui, Raouf and Mouss, Kinza-Nadia and AKSA, Karima}
}
@article {7204,
	title = {ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions},
	journal = {Aerospace},
	volume = {10},
	number = {1},
	year = {2023},
	abstract = {Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, strengthened with robust feature engineering. Initially, data engineering encompassing: (i) principal component analysis (PCA) dimensionality reduction; (ii) feature selection using correlation analysis; (iii) denoising with empirical Bayesian Cauchy prior wavelets; and (iv) feature scaling is used to obtain the required learning representations. Next, an adaptive deep learning model, namely ProgNet, is trained on a source domain with sufficient degradation trajectories generated from PrognosEase, a run-to-fail data generator for health deterioration analysis. Then, ProgNet is transferred to the target domain of obtained degradation features for fine-tuning. The primary goal is to achieve a higher-level generalization while reducing algorithmic complexity, making experiments reproducible on available commercial computers with quad-core microprocessors. ProgNet is tested on the popular New Commercial Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset describing real flight scenarios. To the extent we can report, this is the first time that all N-CMAPSS subsets have been fully screened in such an experiment. ProgNet evaluations with numerous metrics, including the well-known CMAPSS scoring function, demonstrate promising performance levels, reaching 234.61 for the entire test set. This is approximately four times better than the results obtained with the compared conventional deep learning models.},
	url = {https://www.mdpi.com/2226-4310/10/1/10},
	author = {Berghout, Tarek and Mouss, Mohamed-Djamel and Mouss, Leila-Hayet and Benbouzid, Mohamed}
}
@article {7110,
	title = {numerical investigation of buried pipelines subjected to permanent ground deformation due to shallow slope failure (part i: transverse behaviour).},
	journal = {Jordan Journal of Civil Engineering, JJCE},
	volume = {17},
	number = {1},
	year = {2023},
	abstract = {Permanent Ground Deformations (PGD) that follow slope failures caused catastrophic damages on buried pipelines. This paper presents a two-dimensional numerical analysis of the behavior of an 800mm water transport pipeline buried in the Aine-Tine slope (Mila, Algeria) subjected to shallow PGD triggered by the recent earthquake of August 07th, 2020 (M= 4.9). The soil-pipeline interaction was simulated focusing on the effect of (1) the magnitudes of the PGD and (2) the rigidity of the pipeline on the structural response of the pipeline. The pipeline deformations (i.e., translation and ovalization) and radial internal efforts (i.e., axial forces F_A, shear forces F_S, and bending moments M_B) result highlighted that shallow PGD can cause additional loads on pipelines that are proportional to the magnitude of PGD. Moreover, it was found that rigid pipelines are more performant than flexible pipelines. Through a simplified numerical simulation, the study helps engineers and planners to predict the actual causes of pipeline leaks and ruptures leading to severe disruption of their normal operations.},
	url = {https://jjce.just.edu.jo/issues/show_paper.php?pid=6778},
	author = {Bouatia, Med and Demagh, Rafik and Derriche, Zohra}
}
@article {6919,
	title = {Hydrodynamic Characteristics of the \&ldquo;Complex Terminal\&rdquo; aquifer in the Region of Oued Righ North (Algerian Sahara)},
	journal = {Algerian Journal of Environmental Science and Technology},
	year = {2023},
	abstract = {Accessibility of fresh water, the nature{\textquoteright}s gift wheels the foremost part of the world economy. The sufficient supplies of water are essential for agriculture, human intake, industry as well as regeneration. The Oued Righ region is located in Algeria{\textquoteright}s South-East, specifically in the NorthEast of the Sahara, on the Northern edge of the Grand Erg Oriental and the Southern border of the Aures massif. This area appears as a lower Sahara synclinal basin and is part of a broad North-South trending ditch. It is famous for its date palms, the development of the date culture in this region is attributed not only to the population{\textquoteright}s efforts, but above all to the particular climatic conditions, the favorable soil characteristics and the existence of significant groundwater. The aim of this study is to understand the results obtained from using different approaches of water hydrodynamics in the Complex Terminal aquifer. The aquifer{\textquoteright}s hydrodynamic characterization was carried out using hydrodynamic parameters and piezometry. As a result, the transmissivity and permeability obtained data using traditional Cooper-Jacob method showed that the flow capacities of the aquifer environment and the productivities of the structures are important in the studied zone where, the highest value of transmissivity equal 2.36{\texttimes} 102-m 2 /sis found in the central part of the study area in El-Meghair. The establishment of piezometric maps reveals a flow direction oriented toward the chott.},
	url = {https://www.aljest.net/index.php/aljest/article/view/521},
	author = {Hammadi, A. and Brinis, Nafaa and Djidel, M}
}
