Advances in Integrated Design and Production

This article is devoted to the study of $$H_{\infty }$$ H ∞ control problem of active suspension systems for the vertical model of half-vehicle in the finite frequency domain, and the design a state-return controller based on linear matrix inequalities (LMIS) such as the resulting closed-loop system is asymptotically stable, by basing on the generalized Kalman $${\_}$$ _ Yacubovich $${\_}$$ _ Popov (GKYP) Lemma to isolate the body from road disturbances and improve the ride comfort in the specific frequency band [4–8] hz. The theory is illustrated by simulation results to demonstrate the effectiveness of the proposed method.

In this paper, we show theoretically that we can obtain double frequencies filtering using one dimensional comb-like phononic structure containing one defect at the segment level. The proposed structure is built of segment periodicity and grafted in each site by a finite number of resonators. The transmission spectrum and the band structure of this phononic system are theoretically presented using the Green functions approach based on the formalism of the interface response theory for acoustic waves propagating in comb-like structure which present a wide band gap. The presence of a defect in this such structure creates filtered frequencies which strongly depend on the defect length, the number of cellules N and the position of defect J. These characteristics of the considered structure give rise to a good information for the design of ultra-fine frequency phononic filters situated inside the large comb-like band gaps.

During the last decade, a significant research progress has been drawn in relation to the modelling of discrete events systems. This is mainly due to its crucial role that plays in different other research fields in relation to discrete events systems like supervisory control, diagnosis, maintenance… however traditional modelling tools used with this kind of system present some disadvantages especially in front of complex systems. Through this work we establish a new approach to model this kind of system using historical data and some notion of formal language theory.

Large distributed systems such as Multi-Energy Systems are complex systems that can be assimilated to Cyber-Physical Systems of Systems with multiple interactions between different elements and disciplines at different levels. They have the particularity of having dynamic configurations that are subject to multiple factors going from environmental aspects to political and social opinions and decisions. Moreover, Multi-Energy Systems involve a large number of stakeholders such as producers, distributors, suppliers, regulators, etc. with weak coordination. This number is constantly increasing as a result of the energy market deregulation and the high penetration of new decentralized renewable energies where regular consumers become producers. A pressing need has then emerged for new tools and methodologies: (1) to first tackle the lack of coordination while taking into consideration the concerns of each stakeholder that are often contradictory; (2) secondly to assess the system performances under multiple possible configurations and scenarios. This paper introduces our thoughts and progress concerning a rigorous approach using formal contracts. This approach proposes an engineering methodology to coordinate the multiple stakeholders using dedicated tools to predict the behaviour of the different facets of the system, a facet being defined as the way a single stakeholder views the system. The notion of formal contract allows to better structure the relationships between stakeholders and gives the opportunity to verify by simulation whether the system design complies with the requirements. A simple case study of coordination between two stakeholders is presented to demonstrate the methodology.

Advanced driver assistance systems are mainly aimed at the automotive industry. These systems are dedicated to optimizing the safety of drivers about dangerous situations by informing the vehicle driver or by acting on vehicle dynamics. For this purpose, estimation and observation are major tools to progress the development of ADAS. In this study, we describe a new method to estimate the road profile elevation based on Unknown Input Observers. These observers are designed using a mathematical model of a quarter car model developed in Matlab to analyze the vertical vibration of a vehicle. The necessary measurements are the accelerations of the centers of the wheels. The validation of observes is carried out by means of realistic simulator Callas to demonstrate the robustness of the proposed method.

The unicycle robot designates an actuated system that has a single wheel ensuring its stability . Accordingly, unicycle robot has been the subject of researchers interest regarding its high degree of instability which enables this system to move in all directions without falling on the ground. This paper aims at presenting our vision of unicycle mobile robot based on modeling an inverted pendulum with two arms, a mathematical representation is analyzed using the Lagrangian dynamic formulation. Moreover, we will illustrate by Matlab software to apply the virtual reality, that will allow us to check on the motion movement of this system, after that, we will apply the LQR control algorithm in order to reach the good stability of the inverted pendulum with two arms.

This paper investigates both the stability and $$H_{\infty }$$ H ∞ performance for a class of 2-D discrete systems with time-varying delays described by Fornasini-Marchesini (FM) second model. A new sufficient condition for asymptotic stability with $$H_{\infty }$$ H ∞ performance of these systems is developed based on differences of Lyapunov functionals proposed through introducing free weighting matrices. The findings are later tested via linear matrix inequality (LMI) feasibility. A numerical example is presented to demonstrate the effectiveness and benefits of the result obtained in this study.

The problem of observer design for two dimensional (2-D) continuous systems represented by Roesser model is investigated in this paper. A new sufficient condition is given to design the suitable 2-D state observer for this system. Based on the use of a Lyapunov function and a simple matrix inequality method, the design of the optimal 2-D state observer is derived in the form of feasibility of a linear matrix inequality (LMI). A simulation example is considered to illustrate the efficiency of the proposed technique.

Wireless microwave power transmission (WPT) has become a new alternative technology to solve global energy problems, including the depletion of fossil fuel sources. This paper is part of the use of renewable energies such as WPT to power the various sensor networks that surround our environment. In this manuscript, an efficient 2.45 GHz Rectenna system have been designed, optimized and simulated for applications involving remote power supply. As a first step, a 2.45 GHz miniature microstrip antenna have been designed using Defected Ground Structure technology in order to switch the frequency from 5.8 GHz to 2.45 GHz with a gained size reduction reaching 70%. In the other side, a high output voltage 2.45 GHz Rectifier structure using voltage doubler topology have been developed for low power levels. The Rectenna have been simulated using Advanced Design System and CST Microwave Software and we have employed FR4 substrate with dielectric permittivity constant 4.4, thickness of 1.6 mm and loss tangent of 0.025. We have obtained satisfying results in terms of conversion efficiency and output voltage reaching 15 V.

Hahn’s discrete orthogonal moments are powerful tools for image and signal analysis. Several methods have been proposed to implement Hahn’s moments, but their implementation remains limited for high orders by the problem of the propagation of numerical errors. This problem is due to rounding errors during recursive computations of Hahn’s polynomials under machine (using Matlab, C++, Java…). In this paper, we propose a stable computation of Hahn polynomials at high orders based on the modified Gram-Schmidt orthonormalization process. the proposed method significantly reduces the propagation of numerical errors and therefore preserves the orthonormality property of Hahn polynomials. The results obtained show the stability of Hahn moments obtained by the proposed method for the reconstruction of large 1D signals.

This paper is concerned with delay-dependant $$H_{\infty }$$ H ∞ performance and $$H_{\infty }$$ H ∞ filtering for 2-D discrete systems with time-varying delays, described by the Fornasini-Marchesini (FM) second model. By using the free weighting matrices and Lyapunov functional approaches, sufficient conditions are provided for the stability of the system via linear matrix inequality (LMI) feasibility. The delay-dependant $$H_{\infty }$$ H ∞ performance is later tested to assure the stability of the said system. Based on the derived $$H_{\infty }$$ H ∞ performance analysis results, the $$H_{\infty }$$ H ∞ filter is designed. This work is an extended approach from 1-D to 2-D type systems. A numerical example is presented to demonstrate the effectiveness and benefits of the result obtained in this study.

The present paper is devoted to solving the problem of $$H_{\infty }$$ H ∞ model reduction for two-dimensional (2-D) discrete switched systems represented by the Roesser model. Given an asymptotically stable system, our purpose is to design a stable reduced-order system such that the corresponding error system is asymptotically stable with a prescribed $$H_{\infty }$$ H ∞ performance level. By employing a switched Lyapunov function technique, a sufficient condition is proposed to ensure the asymptotic stability with an $$H_{\infty }$$ H ∞ noise-attenuation level bound for the error system. Then, the corresponding reduced order model is designed in the form of linear matrix inequalities (LMIs). Numerical example is presented to show the effectiveness of the developed method.

In this article, we are interested in the modeling and the development of nonlinear control strategies of the underactuated mechanical systems. In this respect, we used the Inverted Spherical Pendulum system as a case study to conduct our analysis based on the simulation results performed under Matlab/Simulink.

This paper describes a study, modeling and control of a doubly fed induction generator (DFIG) based on wind turbine system. The main aim is to regulate the stator active and reactive power of the DIFG to track their references generated by the wind turbine system, in this sense a sliding mode control method is proposed. This technique has the advantage of making any system either linear or not resistant to external disturbances and internal parameters changes. The results of simulations obtained show the good performances and robustness of the proposed SMC controller In comparison with the linear PI controller.

The tire is one of the most important and critical components in the two-wheeled vehicle as in automotive vehicle. It has direct impact on the performance of the vehicle and the rider, his safety and comfort which are massively influenced by the physical and geometric characteristic of tires. This paper deals with a quantitative and qualitative approach and a compare between four well-known models of tire model such Pacejka tire, modified Dugoff Model, TMeasy tire model, and LuGre tire model. Another objective is to determine the reliable model between these four models to integrate this model in a realistic model of two-wheeler vehicles.

This work aims to propose a technique giving a good compromise between accuracy and simplicity to identify the parameters of a single diode photovoltaic (PV) panel. the proposed extraction of the DC parameters of solar panel is based on experimental measurement and the manufacturer data. This method requires the measuring of the shunt resistance, the resolution of the equations related to this technique allowed to determine the other parameters such as (saturation current, light-generated current, series resistance and ideality factor). The suggested model permitted to predict the behavior of the PV panel. To validate this method, the I-V and P-V curves are compared with experimental and manufacturer data, under different meteorological conditions. The results show the simplicity, efficiency and the precision of the developed model. A dimensioning is done thereafter to determine the necessary field to feed a centrifugal pump.

The latest vision of the 5G architecture has been defined, few months before launching the future generation of cellular networks. Even though this revolutionary milestone, the researches and the works are still in progress.The main goal of this perceivable work is to construct a 5G network in the center of Fez City. Our construction study is based on the visualization of the signal-to-interference-and-noise ratio (SINR) on this environment, in order to test the power and the efficiency of the signal and the transmissions of the proposed schemes.This paper highlights two scenarios options for 5G conception: Standalone (SA) mode and Non-Standalone (NSA) mode. This work compares both of them, in order to choose the convenable one for our study environment. We begin by defining the substantial elements that will characterize our 5G network. Using this framework, we evaluate the winner solution of the 5G conception in Fez City center.

In this paper, a broadband microstrip antenna array matched with quarter wave microstrip line matching and Defected Ground Structure technical is proposed. The purpose of this paper is to use Defected Ground Structure (DGS) in microstrip antenna array to achieve an antenna array for ka-band application. The DGS position which is under the quarter wave line matching has an effect that has been presented in this paper. This work started with the single element antenna matched to a band [28–31.5] Ghz. After That, we have constructed and designed the antenna array in order to increase the gain and to obtain a radar antenna with high performances. The antenna array structure, fed by microstrip line and matched by quarter wave transformer, is printed on a Duroid 5880 substrate with dielectric constant of $$\epsilon _r$$ ϵ r = 2.22 and, tangent value 0.004 and 0.4 mm thickness. The simulations of this study are performed on CST Microwave Studio.

Additive manufacturing (AM) is an important, rapidly emerging, manufacturing technology that takes the information from a computer-aided design (CAD) and builds parts in a layer-by-layer style. Since about three decades ago, AM technologies have been used to fabricate prototypes or parts mostly from polymeric or metallic materials. However, 3D printing of ceramics is getting growing attention. It is an appropriate method to answer the increased demand for ceramic structures with complicated morphology by fabricating ceramic parts with high resolution and good surface quality. There are several 3D printing technologies available to 3D print ceramic material as paste extrusion, powder sintering, binder jetting, and photopolymerization. This paper presents the classification of 3D printing technologies used for the manufacturing of ceramic components, the historical origin of these technologies and their technical principle. This work focuses on ceramic pasta extruder systems. It presents the different types of material extrusion systems for ceramic, some examples of their current machines, and their advantages and limitations. Then, after an extensive categorization of the different extrusion systems with existing technical solutions, some prospects to improving these systems are presented and that will be the work of the next paper.

An extruder is used to receive and dispense the material in extrusion additive manufacturing process. Multiple extruders cover a large variety of application of interest to 3D printing: enhancing productivity, multiple colors of the object, the variation of printing materials, interchangeability In case of a failure…etc. However, to support multiple extruders, the open sources electronic boards available in the market are very limited in this contest and still far from meeting the needs of some specific3D printers. Then this paper gives an overview of existing electronic boards able to support more than one extruder and their limitations.

We have studied a GaAs/Al0.4Ga0.6As multi-quantum wells (MQWs) placed between two semi-finite medium (substrate made of GaAs) containing two defects layer: the first one is a well defect layer GaAs with a thickness d01 and the second one is presented as a barrier defect layer Al0.4Ga0.6As with a thickness d02. It is shown that slight fluctuations in the two defect layer thicknesses are likely to cause strong localization of electronic states. Therefore, we have found two localized modes inside the gaps for defect thicknesses d01 and d02 belong to the thickness range [54 A°–70 A°] and one mode for defect thickness d01 = d02 < 20 A° and d01 = d02 > 70 A°. These modes are localized in the 3d gaps and they are considered as defect modes. All these electronic states are strongly depending on defect layer parameters. Moreover, these modes induced by the two defect layers give rise to two closer modes for all thickness in the interval [60 A°–70 A°]. The transmission and the quality factor of MQWs are depending also on the presence of the two defect layer in the structure.

Companies are under great pressure to innovate and industrialize new products. In addition, the customization and complexity of good and services as well as the competitive environment require the optimization of new product development process (NPD), and choice and manufacturing process configuration.PLM or Product Lifecycle Management is the tool that allows creating, managing, sharing and capitalizing all the information related to the product throughout its lifecycle to gain collective efficiency. Nevertheless, the choice of the manufacturing process configuration always requires a lot of effort, time and expertise. The Plug & Produce concept means that the production process is quickly configured, and put into service without the need for excessive manual effort, and that is what we want to have when we industrialize a new product. Moreover, the reconfiguration of a production system following the NPD process is a difficult function to ensure, it is considered among the challenges to be taken into account in the design of a production system.In this work, we propose an approach bottom-up, based on ontology and the Semantic Web, to automate the process of industrialization of a new product. To illustrate this approach, a case study of a PLM module of the flexible manufacturing and assembly cell is presented.

Recently, the automotive industry tends toward the economy of scope, as it gives cost reduction’s advantage, but its manufacturing’s management is difficult. Planning several products in the same line has an impact on the products quality and output if it’s not performed correctly. However, the objective of this paper is to develop a mathematical model for production planning in the operational horizon. This model includes several automotive industry constraints in terms of capacity, dynamic customer orders, and similarities between references, cycle time and the balance between shifts.

In dimensional metrology, the coordinate measuring machine (CMM) is the privileged tool using to control the mechanical part. To evaluate a form error of a spherical feature, discrete points are preleved on a feature to evaluates, the software of the machine fit a perfect geometric form to estimates a form error, least-squares fitting and minimum-zone fitting are two widely adopted algorithms to evaluate the form. Several methods for the evaluation of sphericity error have been proposed by different researchers. But when the feature is measured partially, the problem will be difficult, and an initial value must be introduced to the algorithm to ensure convergence to the solution. The proposed paper presents an efficient algorithm based on orthogonal distance regression (ODR) to estimates the parameters of the substitute sphere and the sphericity error. The model proposed tack into account the uncertainty of coordinates points. The obtained results are compared after to NIST reference values.

The value potential of the IoT announced by analysts and suppliers seems gigantic: several thousand billion euros per year. The IoT actually affects all sectors of activity mainly industries (Industry 4.0). Industry 4.0 is designed to lead the digitization of manufacturing and production processes. The Manufacturing Execution System (MES) is a system for performing, monitoring, tracking and reporting operations on the factory floor in real time. It is a very critical element of industry 4.0 that will act as an action factor to achieve the goal of end-to-end scanning by acting as a bridge between the different factory floor systems. This article presents a literature review of the Internet of Things and its application areas. It also intends to describe MES as an application of IoT in industries, its definition and to identify major issues related to MES. We also discuss limitations and research challenges that need to be explored in order to improve the decision-making process and the growth of production performance.

The function of a part in a mechanism depends on its dimensional and geometric quality. On a coordinate measuring machine, a cloud of points is taken from the surface to be inspected and the shape defect is estimated after an optimization calculation. In this paper, we present a new method based on the coupling between a genetic algorithm and the method of internal points, after a comparison with NIST the proposed approach gives better results.

In this science research explosion century, the competitive economic environment and manufacturers are forced to follow the development and changes to protect their existence with respect of delay, quality and cost challenges, therefore lean manufacturing concepts become part of solution, contrariwise some manufacturers, especially small and medium –sized enterprises (SME) suffer to implement these concepts, this paper purpose to define an advanced model of lean manufacturing system (LMS) based on ISO:9001 version 2015 principles and VDA6.3 version 2016 norm, suggest a maturity model to evaluate the maturity level of LMS which has been confirmed through a statistical studies, Nevertheless, few works related to this field make academic research and industry closer, our work falls within this context through the industrial productivity improvement. This paper proposes also some research perspectives aiming to complete this research axis by enhancing the presented model through other industrial experiments and studies.

The building sector is ranked second in the world after transportation in terms of energy consumption, mainly distributed in air conditioning and heating, these expenses generate more and more high energy bills that encourage all the countries on a global scale find radical solutions.To be able to its global counterparts, Morocco has recently launched the Moroccan Construction Thermal Regulation “RTCM”. This regulation was launched by the National Agency for the Development of Renewable Energies and Energy Efficiency (ADEREE) and it showed according to simulation studies by TRNSYS software a great efficiency in the final economy of energy related particularly to air conditioning and heating despite the extra cost that will be added to the final price of the investment. This extra cost is shown to be the lowest in the category of luxury housing, which shows the interest of its application in this category of housing.In this respect, the present article mainly examines the results of an energy simulation of a building according to the requirements of the RTCM and its impact on the gain and the energy bill. This simulation has shown its effectiveness despite a surcharge that remains surmountable for all climatic zones and some categories of buildings, hence the interest of making more known the RTCM among professionals in the field through surveys and surveys, to know the degree of its application in Moroccan constructions, the obstacles to overcome and the proposals to be studied so that the RTCM is a practical means of assistance for the simulation of energy-efficient buildings and so that it will be more applied in the buildings of tomorrow.In addition, we will propose insulating construction materials based on previous literatures that will be adapted for residential and tertiary buildings in each climatic zone.

Currently, the concept of Internet of Things, as well as Industry 4.0 and Smart Manufacturing, are attracting considerable attention. Digital technologies and the industry’s rapid progress have stimulated enormous advances in the development of manufacturing technology. In the era of digitalization, the role of new technologies in enhancing the competitiveness of industries has become more crucial. So these novel technologies have created a new potential of supply chain risks. It mainly includes information and cybersecurity risks. The present paper aims to present a literature review through a bibliometric analysis of related works about risk management in supply chain 4.0. This study discusses the supply chain 4.0 risks. It also provides a framework about Risk management in supply chain 4.0. The suggested work is helpful for academics as well as professionals as it emphasizes the importance of implementing new methodologies of risk management in the age of intense competition. Furthermore, it presents a roadmap to confront new risks facing new interconnected and dynamic supply chains.

This paper aims to investigate the relationship and links between green, lean and agile supply chain (GLASC) practices for designing a robust supply chain network with different objectives and dimensions (social, environmental, economic and agile). Thus, understanding what is the best way for companies to design a system of practices that meets, on the one hand, The social and envirmental considerations (green) and, on the other hand, the need to be Lean and agile is critical. Our paper develops a literature review addressing the integration of Green, lean and agile supply chain management paradigms. For that, we develop a framework of GLASC which contain as elements practices of each paradigm, integration category and finally the objectives reached by gathering lean, green and agile SC. Finally, we discuss the interaction effects between green, lean and agile supply chain practices.Our result is based on the analysis of 33 papers which are combining at least two paradigms (green, Lean and agile SC), it will be a roadmap for researchers to identify challenges, and also opportunities for future studies.Both academicians and practitioners will find our research useful because it outlines the major lines of research in the field of supply chain management.

The market environment tends toward satisfying customer individual needs. In this scope, product customization is an appropriate approach to foresee a customer focus which has a development ability besides mass production toward mass customization concept in order to outfit customers’ product specifications for a mass market. This article develops a tactical integrated procurement, production and distribution deterministic model of a 3-echelon supply chain within mass customization context according to Leader and Followers tradeoffs. A case study from the automotive industry is proposed to emphasize the operations’ schemes within a business process driven by the customer that involve: (a) Original Equipment Manufacturer, identified as Leader (Upper level) and (b) First-tier Supplier: Wiring Harnesses Manufacturer (c) Second-tier Supplier: Raw Material supplier, identified as followers (Lower level). Findings from this study highlight the customization background that lead to product variety management strategy and mass customization link and provide an integrated operations management framework within a manufacturing overview arises from partner’s interdependency network with dyadic relationships interfaces.

This study aims to provide a decision support to port managers in order to evaluate and benchmark performance measurement systems. The decision support can assess the judgment of decision-makers, analyses the sensitivity and the robustness of performance measurement systems and elaborates recommendations. It is composed of two tools: the DELPHI technique and MACBETH method (Measuring Attractiveness by a Categorical Based Evaluation Technique). A case study involving a Moroccan port illustrates the proposed system.

The development of renewable marine energy at sea is at the mind of the energy transition and blue growth in which France is committed. The domain includes the component manufacturing, assembly, installation and maintenance of the offshore wind farm (OWF). However, the global supply chain of the OWF is very complicated. This complexity is due to the size of wind turbine components. Indeed, this latter is very large: a total height of 150 m and a diameter of 120 m and therefore, require special handling and logistics. To avoid disruption of the global supply chain process of offshore wind, all aspects that can impact the latter must be analyzed. Disturbances can range from capacity problems to quality problems via different weather conditions. Between production and offshore installation phase, the supply chain includes onshore transportation, port handling and shipping. For example, any delay in supply will be fundamentally disrupting the production or installation process of the farm. The produced components from a wind turbine cannot be transported as standard components because they are for the most part very bulky and heavy. To take into account these specificities, transport can be made for example at night when it is possible to use exclusive roads. The purpose of this paper aims to realize a review of logistics planning for OWF operations. A classification according to strategic, tactical and operational decision of logistics planning for the OWF operations was conducted.

The main objective of this paper is to provide synthesized parking solutions and models, compiled by a detailed description of the model, the utility of each model and its main features.To attain this purpose, we followed a systematic review for a set of articles that we finish by keeping only a reduced number of relevant articles that satisfy our needs, starting by putting the first inclusion criteria which was parking models scale “Macro”, afterward to go towards a pertinent analysis we focused more our study by adding more filters and selection criteria to know: the period of models, the editors or the publisher, which most of the exposed studies are published on two database Scopus and Web of Science.As a result, a synthesized table of the macro model is provided where, four modeling approaches were addressed by the authors: mathematical, probabilistic, economic and analytical. This review will allow practitioners and researchers to easily access a database that includes comprehensive information on parking that can be very useful and will form the basis and background for new modeling proposals.

The distribution of goods from suppliers to customers plays an important role in the supply chain. In this paper, the approach of Demand Driven Distribution Resource Planning is proposed in order to optimize the distribution flow in the supply chain. We follow a methodology of presenting the problem of variability, then pointing at the solutions in the literature, among them DRP, and finally giving the proposed model. The purpose is to manage the amplification of the demand Variability, while improving the traditional Distribution Resource Planning. A literature review is presented about the impact of variability on distribution flow, and the solutions proposed in this context. Then, a general study of distribution industries is investigated in order to apply the Demand Driven model; we show the buffer positioning in the distribution network, and the profile and levels for these buffers. After the dynamic adjustment, we present the Demand Driven Planning and the execution based on the net flow equation. The results discuss the approach and the steps of the implementation in the distribution industry.

Classifying data by linking it to a set of labels with a degree of membership is the objective of the multi-labels classification. These labels or classes can have order relationships between them, which can affect the predictive quality of classifiers. Consider these relationships or ignore them, when building the classifier, each has its drawbacks. The first approach facilitates the spread of learning errors and increases complexity of the task, especially if there are cyclical relationships between classes. While the second approach can give inconsistent predictions. There are several approaches intended for solving multi-label classification tasks, some of them take into consideration dependencies between labels and others consider them independent. A new approach called PSI-MC [1] proposes a novel way to teach classifiers the relations between labels without fixing a predefined structure. We propose an approach that uses the same principle as the PSI-MC, and which improves the way to eliminate cycles. Finally, we will test our new approach by using two datasets. According to the Hamming-Loss measure, our proposed approach is slightly better than binary relevance approach that does not take into account the relation between labels.

The purpose of this research is twofold. Firstly, it aims to identify the learning style preferences of two classes in their fourth year of engineering studying at National School of Applied Sciences of Fez during the 2018–2019 academic year. Secondly, it investigates the relationship between learning styles and the academic achievement of these students. A VARK questionnaire was administrated to the students and the collected data were analyzed by using statistical methods (Pearson correlation).The findings of this study showed that for the industrial engineering class, the most preferred learning style of students were Kinesthetic with a percentage of 41.17%. This is followed by a multimodal style (23.52%), visual style (20.58%), auditory style (8.82%) and Reading/Writing style (5.88%). For the mechanical and automated systems engineering class, the most preferred learning style of students were visual style and kinesthetic style with the same percentage of 31.57%. This is followed by a multimodal style (18.42%), Reading/Writing style (10.52%) and auditory style (7.89%).This study will be helpful for instructors in determining appropriate teaching approaches to accommodate the diverse learning styles.

Wireless sensor networks consist of a large number of nodes deployed randomly in an area of interest. Theses nodes have sensing, computation, and wireless communications capabilities. In another hand nodes have energy constraints since they are equipped by non-rechargeable batteries. To handle this issue, routing protocols consist of designing the network in order to collect and transmit data with less energy consumption. In this paper we present a life-time and throughput comparative study passing from classical clustering protocols (LEACH) to a hybrid routing protocol, combines between clustering and Multi-hop Routing techniques (SMR). SMR introduces another type of nodes, called Independent Nodes (IN), whose role is to help Cluster Heads (CHs) to route their collected data to the Base Station (BS). Finally, a comparative study is done, in the first place, between LEACH and SMR in a homogeneous network. And in a second place between LEACH, DEEC and SMR in heterogeneous environment. Those simulations show a great improvement in network’s life-time and throughput using SMR technique in both homogeneous and heterogeneous environment when the base station is far from the center of the network, and less performance when the SB is placed in the middle of the network.

In this paper, the study of the presence of defects in an acoustic periodic structure is used in an original way. This structure is composed by closed acoustic resonators. The defect resonator is located in the center of the structure. The Sylvester’s theorem is applied to examine the properties and the effects of these defect modes. We consider 1D geometry and in this case, it’s known that only the plane mode is propagated. The higher-order modes and visco-thermic effects are ignored. We consider the linear acoustic model and the fluid in the waveguides is air. Two kinds of defects state are studied: the first case is corresponding of a waveguide without branched resonator and the second case is corresponding of a closed resonator with a great height. The introduction of a defect in the structure leads to create a resonance peak in the acoustic band gap. To our knowledge this study is original in the field of acoustic wave propagation. We show that the position and the frequency of the defect peak in the band gap are well be controlled by increasing the length of the defect. Finally, it can be said that the interest of this study is reflected in the fact that the band gap is exploited in an original way. Also, this study allows us to detect the presence or not of defects in a periodic structure.

In this article, we propose a prognosis model for estimating the remaining useful life (RUL) before the failure of a wear bearing to guide rotating trees in microwaves, in the company called (COSUMAR - Morocco).It is a matter of establishing a model of the degradation envisaged (deterioration by phenomenon of wear) during the favorable mission to the decrease of the reliability over time. The proposed approach is based mainly on the model of behavior of the system under predefined working conditions (Evolution of the degradation).This work consists in establishing an adaptive model for this phenomenon, an empirical law envisaged, a degradation based on the computation of the rate of wear by the formula of ARCHARD. This model helps us predict the remaining useful life (RUL) of the wear bearing before failure, the main objective of this law is to help the maintenance manager to take the action before the failure.

Scaffold design for bone tissue engineering try to mimic the function of the natural extracellular matrix, to promote the regeneration of damage tissue.Improving their bioactivity requires a better understanding of the structural effects and mechanical behavior on the bone reconstruction process. This article reviews the relevant literature on mechanobiology of bone reconstruction at different length scales. In the first part the reader is introduced to structure and bone composition. Then the remodeling process associated with cellular mechanotransduction is presented. Indeed, bone cells are extremely sensitive to mechanical loads, so bone has the ability to optimize its architecture according to the mechanical stresses it undergoes. The interest and specificity of the piezoelectric effects of bone compared to a conventional piezoelectric material are analyzed. Finally, we suggest that interdisciplinary approaches, combining mechanobiology and Materiobiology will inspire innovative ideas to satisfy the design requirements of scaffolds for bone tissue regeneration.

Internet of thing (IoT) is a modern concept that appeared in the 90s. IoT is actually one of the future challenges and opens up prospects for technological and scientific developments. The success of the Internet of Things depends greatly on the choice of protocol to use. Nevertheless, one of the major problems of IoT is the lack of suitable user manual that respect the characteristics, features and requirements of IoT systems compared to classic applications. In earlier paper, we presented a comparative study of the existing IoT protocols according to various criteria, as well as evaluated their capabilities and compared their main characteristics and behaviors in terms of various metrics. In this conceptual paper, we propose a model of use of IoT protocols based on critics already mentioned in the comparative study. The purpose of these models is to enable researchers and developers to choose the appropriate protocols for an IoT application by allowing these models before the application is released. This article aims to provide first an IoT characteristics, then the importance of protocols for the IoT Application. In addition, we present in these models of choice of application and network layer protocols.

The Mobile Edge Computing (MEC) provides leading-edge services to multiple smart mobile devices (SMDs). Besides, computation offloading is a promising service in the 5G networks: it reduces battery drain and applications’ execution time. These SMDs generally possess limited battery power and processing capacity. In addition, the local CPU frequency allocated to processing has a huge impact on SMDs energy consumption. In this paper, we consider a multi-user MEC system, where multiple SMDs demand computation offloading to a MEC server. The weighted sum of the overall energy consumptions and latencies represent the optimization problem’s objective. In this problem, we jointly optimize offloading decisions, radio resource allocation and local computational resources allocation. The results obtained using our heuristic scheme show that it achieves good performance in terms of energy and latency. Accordingly, its achievement is encouraging compared to both cases where we perform local execution only or complete tasks offloading only.

Monitoring of industrial systems is necessary to ensure reliability and long-term availability of equipments.The overall purpose of this study is to identify and evaluate the use of the artificial intelligence (AI) tools in monitoring complex industrial systems and more precisely the artificial neural networks (ANN) or connectionist systems that stand out from the rest by their capacity of learning and solving problems in the same way that a human brain would.This paper is a state of the art of monitoring techniques and neural architectures the most used in static and dynamic monitoring.This work is divided into two main parts: in the first one we will present a comparative study of the different architectures of neuron networks that are most used in static monitoring such as RBF and MLP. This comparison led to the choice of RBF.Since dynamic monitoring (dynamic detection, prognosis) requires taking into account the temporal aspect; we devoted the second part to dynamic neural networks (temporal). The tests done using a dynamic detection benchmark and a prognostic benchmark allowed us to choose RRBF as the optimal neural configuration for dynamic monitoring.

Over the years, the recurring and systematic use of data, information, and knowledge in managing organizational expertise has given rise to Knowledge Management (KM) as a distinct field of research and application. With the continuous growth of institutional and corporate knowledge, it has become imperative to integrate Artificial Intelligence (AI) in the process of managing the growing body of knowledge as a strategic asset. An AI-based KM aims at improving decision making, promoting innovation, and predicting future trends in organizations. Combining AI and KM is referred to as “cognitive computing” because they both need, use, and are about data. Thus, context-specific applications of AI in KM are in order, namely agent technology, expert systems, building information modelling, ontologies, analytics, and knowledge bases. Organizations have realized that the way they go about approaching KM was wanting. That is why emphasis shifted from technology to people, behaviors, and ways of working. This paper presents a primer for integrating AI in KM. It investigates the current AI trends and techniques that are suitable for integration in KM.

Intelligent transport system (ITS) is a controlled system which uses sophisticated technologies to increase road safety and enhance management of traffic flow as well as to support travelers of all classes, drivers, passengers and pedestrians. With the development of internet and wireless communication technologies, current studies have moved towards cooperation on the road and between transport systems, a new trend was born: the cooperative intelligent transport systems (C-ITS), these systems based on availability of the information and interaction of the vehicle with its environment and other vehicles. In this paper the C-ITS trends and their applications in transport systems are reviewed and discussed. Our work aims to present a comparative study of wireless communication technologies used in transport systems, two types of wireless communication technology are indicate: (1) Radio frequency (RF) technology like Dedicated Short-Range Communications (DSRC), Radio-frequency identification (RFID) and WIFI, (2) Optical wireless communication (OWC) based on visible light technology (VLC). Results show that the DSRC technology is more used and applied to make the cooperation between road entities. A case study of using wireless communication technology in Moroccan highways based on DSRC technology is presented.

3D faces analysis has always been an active research field in computer vision and virtual reality, more specifically, detecting 3D facial landmarks automatically is of high importance step that can be used for various purposes such as maxillofacial discipline, corrective, plastic and aesthetic surgery, in which a high number of landmarks are needed to achieve more accurate detection results. The problem of accurately detecting the 3D facial landmarks has received a lot of attention, and several research studies were conducted but few of them have detected a great number automatically and precisely. In this article, we introduce a novel technique to automatically localize 30 3D facial landmarks using the geometric information extracted from the facial 3D shape. This method was tested on two 3D face databases; the Basel Face Model dataset and the sample data set from the CranioGUI dataset. The experimental results prove that the presented methodology can detect the 30 landmarks for 75% of the 3D meshes on the two databases and the detection accuracy is comparable to the results obtained by manually landmarking the facial meshes.

This article is part of our research on adaptive hypermedia systems and specifically the development of the learner model.In our previous work, we proposed a new conception of the learner model based on six facets describing all the information and data of the learner.Certainly after later research, we have thought to redesign the learner model by making some changes in order to make it more efficient. so in this article we will introduce first our designed learner model. then its improved version while discussing the new modifications and update we have made. and finally we will conclude by an overview of the life cycle of the learner model within the adaptive hypermedia system.

Recently, manufacturing companies are required to be more flexible and more reconfigurable in order to follow the continuous market changes and the high competition between trademarks. Actually, reconfiguration of Flexible Manufacturing Systems (FMS) has become one of the most widely used solutions by factories even if it stills hard to be implemented. Therefore, we propose in this paper a structured methodology based on modular design in order to reconfigure the FMS easily and efficiently. Our proposed approach takes into account product morpho-dimensional characteristics. To validate it, we apply it on a case study concerning the flexible machining cell of our high engineering school “ENSAM”. Finally, we discuss the expected contributions of new artificial intelligence technologies in the context of Flexible Manufacturing Systems reconfiguration.

In this work, we implemented the extended isogeometric method for cracked structures in 2D. In order to approximate, the displacement fields we have worked with interpolation functions that are based on Non-Uniform Rational B-spline (NURBS). The traditional approximations used in the isogeometric method are extended by the insertion of enrichment functions, which are capable of capturing discontinuities and singularities in the crack tip. This method allows modeling the cracks without being in conformity with a given mesh. For the purpose of showing the ability to model cracks by this method, the result obtained by the extended isogeometric method is compared with the XFEM method.

The satisfaction of an increasingly personalized and unpredictable demand that certain companies are experiencing demand flexible production systems. The large number and complexity of the parameters to be taken into account most often require a scheduling support system to meet delivery times and optimize the use of resources. We present the industrial and research issues then a synthesis of the state of the art on the different types of scheduling problems. We chose a simulation approach for our scheduling tool. After defining the specifications of the scheduling tool and how the corresponding industrial data have been collected, the RFLP (Requirements, Functional, Logical and Physical) models of the perfume manufacturing case study on which the scheduling support will be based, are then presented.

Today’s hyper-competitive worldwide markets, turbulent environment, demanding customers, and diverse technological advancements force any companies developing new products to look into all the possible areas of improvement in the entire new product development (NPD) process. As a key determinant of firm’s competitiveness, efficient NPD is hard to imagine out of Product Lifecycle Management (PLM) strategy. In fact, PLM provides a dynamic and integrated information management platform that enables firms to effectively manage the creation, modification, and exchange with product information on the collaborative NPD. Moreover, by adopting PLM systems, firms can derive numerous benefits such as increasing the speed to market of new products, improving the response to market demands, delivering more new products in a shorter time, reducing product development project costs, and reducing material and energy consumption costs. Hence, this paper presents an overview that mediates the effect of PLM system on NPD performance. Therefore, it is expected that the results will contribute to the literature and practice by increasing the understanding of how PLM system influences NPD performance.

This article aims to present a statistical approach involving latent and manifest variables applied in order to measure the organization’s social responsibility performance of a worldwide enterprise (electrical sector) located in Casablanca, Kingdom of Morocco. The main idea is to measure the impact of Social Responsibility’s practices (which are divided into five segments: Leadership, Strategy & Planning, Human Resources, Partnerships & Resources, Process Management, and Organizational governance) on the total performance (which is divided into six perspectives: (Human Rights Results perspectives, Labour practices Results perspectives, the environment Results perspectives, Consumer issues Results perspectives, Fair operating practices Results perspectives, community involvement and development Results perspectives)), enabling the company to characterize her performance regarding to the ISO 26000 standard’s. For this, we use the SEM’s resolution based on the Partial Least squares (PLS) method via the XL-STAT software on a sample of 120 questionnaires administered face-to-face with managers, technicians, engineers and directors of this company. The obtained results could be examined in order to plan the improvements and develop an action plan. It is necessary to control social responsibility performance to ensure that it is either good enough, or that something is being done to improve it.

In the recent years, the two important initiatives, namely, Lean Six Sigma and Industry 4.0 have attracted the attention of many professionals and researchers. However, the relationship between the two concepts needs to be investigated. Motivated by this gap, this paper aims to study the connection between Lean Six Sigma and Industry 4.0 in the Moroccan context based on a descriptive survey questionnaire. The findings indicate that Lean Six Sigma and Industry 4.0 are synergetic and compatible. More studies are required in order to validate this result.

The ornamental art found in Moroccan architecture is revealing ingenuity and a very valuable know-how that has been passed from generation to generation in the secrecy of the workshops and in the absence of documentation. The technique widely used for geometric drawing of patterns is called “Hasba” and its description remains ambiguous hence the interest to formalize the method construction rules through a formal modeling of the knowledge involved. The method used for this purpose is MASK, which has been chosen for its many advantages (ease of appropriation, flexibility, generic aspect, etc.). Its application to the field of Moroccan craftsmanship is the subject of this paper. It has been realized through a case study with expert craftsmen. However, this experiment revealed several challenges that are largely due to the informal nature of the craftsmanship domain and the artisans’ profile. Thus, an adaptation of the methodological framework was necessary and allowed us to validate our approach. The result is a set of interleaved and interconnected models constituting a small “knowledge book” on the geometric drawing technique called “Hasba”.

Companies are leaning more and more towards a competency strategy. Competences represent a very important capital for the company both at the operational level and at the strategic level. However, companies find it difficult to find a framework or a model that will allow them to properly model the competency and reach a consensus on this notion. The purpose of this article is to propose an extensive model that takes into account all the factors surrounding the competency, individual or collective, which will enable the company to properly map its competency capital to facilitate its assessment and to achieve maximum performance. We start with a literature review on the notion of competence, its different typologies and components, as well as a return to the already existing models that were judicious in proposing a global model (MUCAC) that meets companies’ expectations especially in the field of industrial engineering. The MUCAC model represents a real opportunity for companies wanting to immerse themselves in better management of their human capital.