Institutional repository of university M'Hamed Bougara Boumerdes
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Enhancing Battery Degradation Prediction using Recurrent and Convolutional Neural Networks
In the field of battery technology, the ability to predict degradation accurately is of paramount importance.This study aims to develop and assess a data-driven prognostics framework for forecasting capacity and power fade in lithium-ion batteries. Leveraging machine learning techniques, specifically recurrent neural networks (RNNs) and convolutional neural networks (CNNs), this framework models the intricate relationships between battery performance and aging effects. Through the utilization of historical battery data, it facilitates accurate predictions of future degradation trends. The performance of the models is meticulously evaluated using relevant metrics, including the Root Mean Squared Error (RMSE) and Mean absolute error (MAE). Furthermore, the paper provides a comparative analysis to gauge the accuracy and efficacy of RNNs and CNNs models for battery prognostics, contributing to a deeper understanding of their respective capabilities. It is demonstrated that RNNs excel in predicting both resistance and capacitance degradation. These findings have the potential to significantly enhance the precision and efficiency of battery degradation predictions, with broad applications across industries
Molecular Surveillance of Yersinia pestis from Stray Dogs and Cats and their Fleas in Algiers
In recent years, plague has re-emerged in several countries around the world and remains endemic in some regions. In a natural environment, and in contact with rodents and their fleas, stray carnivores are most at risk of catching the disease and maintaining the spread of the bacillus.
The objective of this study is to demonstrate the presence or absence of Yersinia pestis in stray dogs and cats in the Algiers region by molecular methods and thus contribute their role in epidemiology of this disease. Molecular research of Yersinia pestis has also been conducted on fleas from these carnivores. Preliminary identification of ectoparasites to genus and species level was performed.
Real-time polymerase chain reaction targeting Yersinia pestis pla gene was used to survey the plague agent in fleas and carnivores captured as stray animals in Algiers (Algeria). Positive qPCR results were tested by PCR sequencing using glpD gene.
Among 327 fleas captured from 107 dogs and 365 fleas from 140 cats, prevalence of Ctenocephalides felis was higher in cats (86,96%), whereas that of Ctenocephalides canis and Xenopsylla cheopis was higher in dogs (90,57% and 92,63% respectively). While internal and external PCR positive controls were positive, none of the 107 dogs spleen and 140 cat spleens and none of the 256 analyzed fleas were positive for Y. pestis.
These results suggest that stray cats and dogs are unlikely sources for plague in Algeria contrary to that has been reported in other plague-endemic countries. This observation illustrates that plague epidemiological chain varies from one region to anothe
Experimental and numerical investigation of impact behavior in honeycomb sandwich composites
This paper presents an experimental and numerical study on the low-energy impact fatigue and bending behavior of sandwich panels reinforced with composite laminate glass and carbon fabric facesheets, supported by a honeycomb core made of Nomex. The crushing behavior of honeycomb sandwich specimens subjected to the impact test was compared and discussed. Our results indicate that the carbon composite facesheets have a significant effect on the impact, resulting in an increase in impact resistance and a 157.14% increase in crack depth in the elastic region compared to glass facesheets reinforcement. This increase serves as an indicator of the laminate's ability to resist damage initiation and impact fracture mechanisms. Also, an increasing in flexural strength about 45.72% was observed in carbon facesheets honeycomb specimens compared to glass facesheets reinforcement. Microscopic illustration of the damaged honeycomb sandwich specimens was conducted to evaluate the interfacial characteristics and describe the damage mechanics of the composite facesheets and core adhesion under the impact test. The numerical approach proves to be efficient in terms of accuracy and simplicity compared to existing methods for predicting the damage mechanisms of honeycomb sandwich structures. It was noted that results of numerical study show best agreements with experiment results and the model can be used to predict the low-energy impact fatigue
Etude d'un hotel en R+5+ sous-sol +terrasse inaccessible à usage multiple (habitation et service et commerce) à Contreventement mixte (portique et voile)
167 p. : ill. ; 30 cmCe mémoire présente une étude détaillée du projet de construction d'un hôtel de cinq étages avec sous-sol, conçu pour offrir une large gamme de services, d'habitation et de commerces. L’hôtel sera équipé d'un système de contreventement mixte, combinant des portiques et des voiles pour assurer sa stabilité et sa résistance aux charges sismiques . L'étude portera sur le dimensionnement des éléments structurels, le ferraillage des éléments, l'analyse sismique, ainsi que l'étude de l'infrastructur
Study of the «XGF868I» flare gas flow meter solution at the «HBNS Oil Field» with addressing its lack of data integration into the «ICSS» control system
113 p. : ill. ; 30 cmThis Thesis addresses the lack of detailed flare gas data and diagnostic data from XGF868i flow meters in the ICSS control system at the Groupement Berkine HBNS site. The solution includes creating 17 analog points, each one representing specific data retrieved from the flow meters via Modbus communication. Advanced configurations, such as alarm and historical data settings, were established for analysis and troubleshooting. Additionally, HMIs were developed for six flares, providing easy access from the control room and also enabling remote access through the Honeywell E-server solution. These enhancements contribute to safer, more efficient, and environmentally responsible operations
Application of Sodium Methyl Ester Sulfonate Anionic Surfactants as Corrosion Inhibitors for Carbon Steel in Oilfield Injection Water
Abstract: In this study, the anticorrosive properties of a series of sodium methyl ester sulfonate anionic surfactants on a carbon steel were estimated for an oilfield injection water collected from a well of Hassi R’Mel region—Algeria, known as Baremian water, and are compared to those of sodium dodecyl sulfate. This class of surfactants was synthesized from fatty acids by a photochemical process and present good physico-chemical properties and good biodegradability. The inhibition performance was evaluated by weight loss and electrochemical techniques: linear polarization resistance and electrochemical impedance spectroscopy. The results showed that these surfactants are good inhibitors; the inhibition efficiency increases with increasing concentration surfactants. In addition, the increase of chain length surfactants leads to the best inhibition efficiency for sodium sulfo palmityl methyl ester surfactant with 95.27, 98.20, and 95% via weight loss, linear polarization resistance and electrochemical impedance spectroscopy, respectively. Scanning electron microscopy–Energy dispersive X-ray allowed the visualization of a good adhesion of the protective deposit formed by the surfactants on the carbon steel surface including the elements presents on this surface as sodium and sulfur. The adsorption of these surfactants shows the maximum adherence to the Langmuir model and the values of Gibbs free energy of adsorption indicated that the inhibitor molecules are physically adsorb onto the metal surfac
Polycopié de Cours de Chimie Organique 2
Le fascicule pédagogique que nous présentons s’adresser particulièrement aux étudiants de deuxième année Licence Science de la Matière (SM). Il sera également utile pour les étudiants d’autres spécialités, Science Biologique (SNV), Médicales et Pharmaceutiques, dont les programmes sont voisins.
Son contenu est conforme au nouveau programme après harmonisation (des Licence et Master). Il correspond au programme du module Chimie Organique 2 qui regroupe donc à la fois l’essentiel du cours de Chimie Organique généralement enseigné lors de cette année. Chaque chapitre est clôturé par une série d’exercice......
المسؤولية الجزائية عن أضرار تلوث البيئة في المجال البري وفق التشريع الجزائري
349 ص. ، 30 سميحظى موضوع البيئة حاليا سواء على المستوى الدولي أو الوطني باهتمام واسع وهو ما يظهر من خلال النصوص القانونية الكثيرة التي تضمنت جميع جوانبه سيما آليات محاربة السلوكات الضارة بالبيئة في كل مجالاتها بما فيها المجال البري.
وتنقسم هذه الآليات إلى آليات وقائية وآليات ردعية وبالرغم من الأهمية البالغة التي تكتسيها الآليات الوقائية إلا أنها لم تحقق الحماية الكافية في محاربة الجرائم البيئية ما استدعى تدخل قواعد جزائية بغرض معاقبة مرتكبي الجرائم الماسة بالمجال البري للبيئة، حيث تقوم بذلك المسؤولية الجزائية لكل من تسبب سلوكه في إلحاق ضرر بالبيئة البرية،وتطبق عليه عقوبات جزائية تتنوع حسب درجة خطورة الجريمة المرتكبة فقد تكون العقوبة أصلية كما يمكن أن تكون تكميلية تفرض على كل من خالف القواعد القانونية المنصوص عليها في مختلف القوانين المتعلقة بالبيئة سواء كان شخصا طبيعيا أو معنوي
PID Control Design of Strongly Coupled Axial-Torsional Vibrations in Rotary Drilling Systems
Drilling operations can encounter considerable challenges posed by strong, coupled vibrations that exert a complex influence on rotary drilling system performance. These vibrations are classified into three distinct types based on their propagation direction: axial, lateral, and torsional. Previous research efforts have predominantly focused on examining each vibration type in isolation. However, the effectiveness and resilience of developed controllers are profoundly affected by the often overlooked coupling effects arising from other types of vibrations. In this study, we propose the implementation of a Proportional-Integral-Derivative (PID) controller for the coupled Axial-Torsional vibration system. The research presented herein is dedicated to investigate the performance of the controller under strongly coupled vibrations. To address the dynamic vibrations encountered during drilling, it is imperative to understand the intricate behavior of the drill bit in response to these vibrations before designing controllers to mitigate their impact. Numerous models have been proposed in the existing literature to elucidate the behavior of the drill string under axial-torsional vibrations. The objective of this research is to develop a comprehensive model of the drilling system and investigate the robustness of the PID controller to mitigate the adverse effects of coupled Axial-Torsional vibrations. By effectively analysing the obtained results, this study has contributed to the optimization and improvement of drilling operations under sever coupled vibrations