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.

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.

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.

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.

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 “traceability” 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).

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.

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.

Accessibility of fresh water, the nature’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’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’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’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× 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.

Faisant partie intégrante du métier d’enseignant, l’évaluation constitue un acte pédagogique essentiel dans les situations d’enseignement-apprentissage et cela afin de vérifier le niveau linguistique des étudiants lors d’une acquisition réelle dans le but de lancer une formation ou bien clôturer une formation en prenant en compte ses difficultés. Pour notre étude, il s’agit d’une classe de langue étrangère réservée à un public adulte formé d’étudiants de filières différentes, souvent arabisées totalement ou partiellement, et que ce type d’enseignement doit les préparer soit à améliorer leur niveau général soit à leur dispenser un enseignement leur permettant de suivre une spécialisation en Algérie (enseignements en français) ou à l’étranger, notamment en France.

الهدف من دراستنا هو معرفة محددات عمليتي انتقاء وتوجيه لاعبي كرة القدم نحو مناصب اللعب و من أجل هذا الغرض استخدمنا المنهج الوصفي معتمدا على استبيان طبق على عينة قدرت ب 30 مدرب لفئتي أقل من 15 و 17 سنة لرابطة باتنة الجهوية تم اختيارهم بالطريقة العشوائية وتوصلنا في دراستنا إلى أن غالبية المدربين لا يعتمدون على الاختبارات البدنية و الفزيولوجية و القياسات المرفولوجية لانتقاء و توجيه اللعبين نحو مناصب اللعب و يكتفون بالملاحظة البيداغوجية خلال المقابلات التجريبية وبناءا على نتائج الدراسة أوصى طاقم البحث بضرورة وضع بطارية إختبارات موحدة يستند عليها مدربوا الفئات الشبانية في عمليتي الإنتقاء و التوجيه.

The aim of our study is to know the determinants of the processes of selection and orientation of soccer players to playing positions, and for this we used the descriptive approach based on a questionnaire applied to a sample of 30 coaches U15 and U17 of the Regional League of Batna who were selected by random method, and we found that the majority of coaches do not rely on physical and physiological tests and morphological measurements to select and orient players to playing positions, but they are satisfied only with a pedagogical observation through games of selection and orientations, and based on the results of the study, the research group recommended the need to develop a standardized test battery that youth trainers rely on for selection and orientation processes.

يجب ان يتصف لاعب كرة القدم بدرجة عالية من اللياقة البدنية حتى يتمكن من تنفيذ المهام البدنية والمهارية والخططية وتعد السرعة الهوائية القصوى احد اهم متطلبات اللياقة البدنية التي يحتاج اليها لاعب كرة القدم حيث تعتبر مؤشر اللياقة البدنية وسلاحه الاول ولهذا اردنا الوقوف على اهمية السرعة الهوائية القصوى وعلاقتها الوطيدة لتحديد منصب اللعب لدى لاعبي كرة القدم اقل من 19 سنة وذلك بتطبيق اختبار vameval على عينة تمثلت في فئة اواسط فريقي ترجي باركافوراج وفريق جامعة باتانة بمعدل 20 لاعب من كلا الفريقين متوزعين ب 6 لاعبين في الدفاع من كل فريق و 4 لاعبين في الوسط من كل فريق فكانت النتائج كالاتي : لايوجد فرق دال احصائيا في السرعة الهوائية القصوى بين مناصب اللعب في وسط الميدان لدى افراد العينة لايوجد فرق دال احصائيا في السرعة الهوائية القصوى بين مناصب اللعب في الدفاع لدى افراد العينة.

The soccer player must be characterized by a high degree of physical fitness to be able to carry out physical, skill and tactical tasks. The maximum aerobic speed is one of the most important fitness requirements that a soccer player needs. The foot is considered the indicator of physical fitness and its first weapon That is why we wanted to stand on the importance of the maximum aerobic speed and its close relationship to determine the playing position of football players under 19 years old, by applying the vameval test on a sample represented in the middle class of the Esperance Barcaforage teams and the Batna University team with an average of 20 players from both teams distributed with 6 players in defense from Each team and 4 players in the middle of each team, the results were as follows: There is no statistically significant difference in the maximum air speed between the playing positions in the middle of the field among the sample members There is no statistically significant difference in the maximum aerobic speed between the playing positions in defense among the sample members.

The object of this paper is to spotlight a totally new language phenomenon known as The SMS (Short Message Service), in Algerian society, especially the city of Batna, which is gaining field every day with the large use of the mobile phone by all population categories, such as students, young pupils, (even primary schools ones), workers, etc. This research will try to uncover the different abbreviation strategies and techniques used by Algerian users, to gain characters; which means more space on their small screens, time and also money, how do they do to take advantage of a small device; like a mobile phone to express their feelings, ideas, though, how to tell lot with a very few words!? Keywords: SMS; language; abbreviation strategies; mobile phone; users. Résumé : Le présent article, qui s’inscrit dans le cadre des nouvelles pratiques linguistiques électroniques, a pour objectif le langage SMS, dans la société algérienne, plus précisément la ville de Batna. Il semble, en effet, gagner du terrain, avec chaque nouvel usager de la téléphonie mobile. C'est une recherche qui a comme composante élémentaire les stratégies abréviatives des utilisateurs algériens du téléphone portable, en tenant compte du côté scriptural, où nous tenterons de voir comment ils font pour s'exprimer avec le peu de caractères dont ils disposent sur un écran aussi réduit, avec un clavier d'une ergonomie qui laisse à désirer. Les mots clés : langage SMS, téléphonie mobile, écran, clavier réduit, abréviations.

The current study concerns the use of azeotropic mixtures in single-stage vapor compression refrigeration system configurations to determine the effect of entrainment ratio on the coefficient of performance. Three single-stage vapor compression refrigeration system configurations are used. The effects of condenser and evaporator temperatures on the single-stage refrigeration system are investigated. The used azeotropic mixtures are: R1234yf + R290, R1234yf + R152a, R1234yf + R600a, R134a + R290, R134a + R600a and R1270 + R134a. It is shown that the simulations results are in good agreement with the literature. The R1234yf + R290 mixture in refrigeration cycle give the highest coefficient of performance and entrainment ratio. The coefficient of performance (COP) increases with increasing of entrainment ratio.

This paper is about the study of the well-posedness of a stochastic Cahn-Hilliard equation driven by white noise induced by a Q-Brownian motion. The proof of the existence of a unique global solution relies on the Galerkin method together with a monotonicity method.

Recently, Adaptive Traffic Signal Control (ATSC) in the multi-intersection system is considered as one of the most critical issues in Intelligent Transportation Systems (ITS). Among the proposed AI-based approaches, Deep Reinforcement Learning (DRL) has been largely applied while showing better performances. This paper proposes a new DRL-based cooperative approach for controlling multiple intersections. The problem is modelled as a Multi-Agent Reinforcement Learning (MARL) system, while each agent is trained to select the best action to control an intersection by obtaining information about its local lanes state. The cooperation aspect is manifested in this approach by considering the effect of the state, action and reward of neighbour agents in the process of policy learning. An intersection controller applies a Deep Q-Network (DQN) method, while transferring state, action and reward received from their neighbour agents to its own loss function during the learning process. The experimental results under different scenarios shows that the proposed approach outperforms many state-of-the-art approaches in terms of three metrics: Average Waiting Time (AWT), Average Queue Length (AQL) and Average Emission CO₂ (AEC). In addition, the cooperation between the different trained DRL-based controllers allows the system to continuously learn and improve its performance by interacting with the environment, particularly when the traffic is congested.

In this paper, we consider the stationary problem in three dimensional thin domain ΩεΩε with maximal monotone graph and Tresca conditions. In the first step, we present the problem statement and give the variational formulation. We then study the asymptotic behavior when one dimension of the domain tends to zero. In the latter case a specific Reynolds limit equation is obtained and the uniqueness of the displacement of the limit problem are proved.

In most industrial environments, vibration analysis is widely used for fault diagnosis of rolling bearings. The vibration signal measured from a bearing represents a mixture of motor vibration, rolling vibration, noise, and other sources. Due to the high cost of devices and limited space, only one sensor can be installed to measure this signal. In this paper, a feature extraction method based on Single Channel Blind Source Separation (SCBSS) and Normal Distribution (ND) is proposed for vibration monitoring of rolling element bearings. To decompose the bearing signal, SCBSS is applied for separating the different sources. Because ND is sensitive to the type of fault, it is used as criterion to find an output that contains the maximum information about the fault by removing the other sources. In fact, the obtained signal contains other vibrations which affect the correct source of fault. A second SCBSS filter is, therefore, proposed to decompose the selected source and thus improves the performance of fault diagnosis. The application of the proposed method is carried out on a deep groove ball bearing with outer race fault, ball fault, and inner race fault in order to better validate the diagnosis results.

This paper proposed a new strategy of sinusoidal pulse width modulation (SPWM) technique to control three-phase nine-level switched-capacitor inverter (9LSCI) in grid-connected PV systems. The main advantage of this inverter is high voltage gain, achieved by switching the capacitors in series and parallel to boost up the output voltage using low voltage input. To improve the quality of solar energy for injection into the electrical grid, a rooted tree optimization (RTO) algorithm is used to get optimum values of initial angles of multi carriers SPWM technique, giving the lowest possible values of the total harmonic distortion (THD). The design also can maximize the efficiency of the multi-level inverter by minimizing its size using fewer components and a single DC source and reducing the rate of THD. The higher effectiveness and accuracy of the suggested RTO-SPWM technique was tested and verified in comparison to existing classical SPWM technique from the performance of PV-grid systems that it can effectively reduce the total harmonic distortion to 0.16 %.

This article deals with the problem of blind separation of statistically independent sources from the instantaneous linear model (n × 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).

This paper seeks to explore the Algerian EFL learners’ beliefs about, and attitudes towards, promoting Learner Autonomy (LA) via the implementation of Collaborative Learning (CL) as a teaching method. The study was carried out at the Department of English of Mostefa Benboulaid Batna 2 University during the academic year 2018-2019. To meet the paper’s objectives, a quantitative approach was opted for where an adapted questionnaire was administered to the first-year students. The overall results revealed the positive disposition of the Algerian EFL learners towards the use of the CL teaching method as a channel to develop their autonomy.