The security of the network has become a primary concern for organizations. Attackers use different means to disrupt services or steal information, these various attacks push think new way block them all in one manner. In addition, intrusions can change and penetrate devices security. To solve issues, we suggest, this paper, idea Network Intrusion Detection System (NIDS) based on Long Short-TermMemory (LSTM) recognize menaces obtain long-term memory them, inorder stop that are like existing...

The big challenge to raise for deploying the application's domain of Internet Things is security. As one popular messaging protocols in IoT world, message queue telemetry transport (MQTT) designed constrained devices and machine-to-machine communications, based on publish-subscribe model, it offers a basic authentication using username password. However, this method might have problem terms security scalability. In paper, we provide an analysis current research literature related MQTT...

A smart city can be defined as a community in which citizens, businesses and institutions work collaborative environment. At time when the Internet is most used medium world, collaboration university (SU) based on learning (CL) one of best practices to create practical environment for acquire share knowledge; it relevant concept that adopts interactions promote modern methods between teams learners. More specifically, may recommended refine ensure learner participation communication In this...

Fused deposition modeling (FDM) is one of the most used additive manufacturing processes in current time. Predicting impact different 3D printing parameters on quality printed parts critical challenges facing researchers. The present paper aims to examine effect three FDM process parameters, namely velocity, extrusion temperature, and raster orientation bending strength, stiffness, deflection at break polylactic acid (PLA) using Taguchi design experiment technique. results indicate that...

The Internet of Things (IoT) is an important part the information technology future. Technically, IoT expected to enable people-thing and thing-thing interconnections by combining communication technologies networks. Our Lab has been actively promoting research on 5G & IoT, in which NB-IoT new radio interface issue great interest. New tests put forward a lot requirements for terms service bandwidth, power consumption, as well number connections performance management. Based Morocco's current...

The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we adopted representative Learning methods which are Belief Network (DBN) and Stacked Auto-Encoder (SAE), initialize deep supervised Neural Networks (NN), besides Back Propagation Neural (BPNN) applied face classification task. Moreover, our contribution is extract hierarchical representations image based on Deep Learning...

The problem of face classification is to classify faces based on their visual appearance the faces. In this paper, we investigate issue by means Back-Propagation Neural Network (BPNN) combined with both descriptors, which are Discrete Cosine Transform (DCT) and Histograms Oriented Gradient (HOG). first case, BPNN used individually for feature extraction classification, in second DCT HOG descriptors extract features each image, then, these extracted utilized as input non-faces. We perform an...

Microgrid will constitute the heart of next generation power systems. They are expected to incorporate more distributed (DG) mainly coming from renewable energy (RE). characterized by their ability manage and control electricity using advance information technology. In parallel, development multi agent systems (MAS) tested proprieties increase researchers interest in applying them (MG) context. This paper presents a survey MAS application MG. It revisits concept MG MAS. introduces agency...

This paper describes an evolutionary hybrid model linking two algorithms: Particle Swarm Optimization (PSO) and Simulated Annealing (SA).The basic idea behind using a is improving the reliability of obtained results from our first model, namely MPSO (Modified PSO) based on PSO algorithm, by adding SA algorithm which quite popular for its powerful feature effective escaping trap local minima.MPSO uses concept neighborhoods associated to parallel computation, overcome essential disadvantages...

This article describes how different traffic planning and routing models have been developed for road modeling. In this context, we compare the in mathematical literature that are more used modeling of car phenomena. The study deals with scales representation frameworks Therefore, distinguish microscopic from macroscopic adapted to flow models. comparison ends a critical analysis research perspectives consider development SUMO simulator.

In this work, we aim to contribute the modeling and optimization of energy production. order minimize production costs, quantity available green in power system. The model is implemented under GAMS 24.7.1 environment was validated by using CPLEX.The presented can easily combine different sources energy, scheduling resources with high performance flexibility. This cost applied a real case, be reduced 38% winter 40, 89% summer.

Meta-heuristic PSO has limits, such as premature convergence and high running time, especially for complex optimization problems. In this paper, a description of three parallel models based on the algorithm is developed, basis combining two concepts: parallelism neighborhood, which are designed according to different approaches in order avoid disadvantages algorithm. The third model, SPM (Spherical-neighborhood Parallel Model), improve obtained results from NPM (Neighborhood Model) MPM...

In this paper, we contribute to the enhancement of routing in unstructured Peer-to-Peer (P2P) systems. Our contribution aims propose an alternative repetitive interactions between peers discovery which waste considerable time. We a methodology that seeks effectiveness and swiftness. Contrary classic heuristic-based strategies, main goal our proposition is every peer prepares database at integration phase. The includes information about peers, locations, routes destination, etc. Every...

The objective of this paper is to propose a new parallelization approach Particle Swarm Optimization (PSO). PSO an intelligent optimization algorithm based on swarm intelligence, it not only simple, easy implement but also can be used solve various complex problems that are difficult by using traditional calculation methods. In work, novel presented for avoiding premature convergence local minima maintaining balance between exploration and exploitation the search space, besides, reduction...

Digitization is a catalyst for transforming traditional university when human intelligence mainly invoked in learning practices, towards an that dematerialized by using Artificial Intelligence (AI) and which integrates intelligent platforms namely MOOCs. Admittedly, the boasts of has served many techniques years. However, content organization higher education should change with evolution needs society, these requirements have emerged Smart University System (SUS) conforms to City (SC)...

Currently, information technology is used in all the life domains, multiple devices produce data and transfer them across network, these transfers are not always secured, they can contain new menaces invisible by current security devices. Moreover, large amount variety of exchanged cause difficulties related to detection time. To solve issues, we suggest this paper, a approach based on storing network traffic employing Big Data techniques, analyzing with Machine Learning algorithms,...

Multi-Bit flip-flops (MBFF) usage is an innovative technique introduced in Integrated Circuit (IC) design as one of the low power methodologies that reduce area and consumption during phase physical synthesis. Recently this approach implementation to help for more reduction. In paper, we will present MBFF merging challenges process, then recommend optimal stage perform merging, within Pre-CTS (Clock-tree Synthesis) step. The success criteria achieve highest percentage without degrading...

The real-time operation of the energy management system (RT-EMS) is one vital functions Microgrids (MG). In this context, reliability and smooth should be maintained in real time regardless load generation variations without losing optimum cost. This paper presents a design implementation RT-EMS based on Multiagent (MAS) fast converging T-Cell algorithm to minimize MG operational cost maximize response grid-connected MG. has main function ensure dispatch between distributed (DG) units that...