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Classifying Modulations in Communication Intelligence Using Deep Learning Networks

Journal of Systems Science and Information 2024年第3期12卷 379-392页

作者： Yahya BENREMDANE said JAMAL Oumaima TAHERI Jawad LAKZIZ said ouaskit Department of Physics Faculty of Science Ben M'sikUniversity HassanⅡCasablanca 20100Morocco

The present research employs artificial intelligence to come up with an automatic solution for the modulation's classification of various radio signal *** a result,the work we performed involved selecting the database required for supervised deep learning,evaluating the performance of current techniques on unprocessed communication signals,and suggesting a deep learning networkbased method that would enable the classification of modulation types with the best possible ratio between computation time and *** started by examining the automatic classification models that are currently in *** light of the difficulty of forecasting in low Signal Noise Ratio(SNR)situations,we suggested an ensemble learning strategy based on adjusted Res Net and Transformer Neural Network,which is effective at extracting multi-scale features from the raw I/Q sequence ***,we produced an architecture that is simple to use and apply to communication *** architecture of this solution is strong and optimal,enabling it to determine the type of modulation with up to 95%accuracy automatically.

关键词： automatic modulation classification artificial intelligence deep learning radio frequency electronicwarfare

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Melting of Argon Cluster: Dependence of Caloric Curves on MD Simulation Parameters

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World Journal of Condensed Matter Physics 2012年第3期2卷 139-147页

作者： Mohamed Tabti Adil Eddahbi said ouaskit Lahcen Elarroum Laboratoire de la Physique de la Matière Condensée (LPMC) Mohammedia Faculté des Sciences Ben M’Sik Université Hassan II Casablanca Morocco

We report on molecular dynamics simulations performed using microcanonical ensemble to predict the melting of argon particles in nanometer size range 10 nm and to investigate the effect of the time step integration. We use the Lennard- Jones potential functions to describe the interatomic interactions, and the results are evaluated by using caloric curves of the melting phenomenon. Thermodynamic properties, including the total energy, Lindemann parameter, kinetic and potential distribution’s functions, are used to characterize the melting process. The data shows bimodal behavior only in a certain interval of integration time step Δt, while the internal energy increases monotonically with the temperature. For the other time step values, the back bending disappears. We claim that negative specific heat is related to a possible decrease of entropy in an isolated system;this can be interpreted as a result of the internal interactions, especially attractive process and specific relaxation time.

关键词： Molecular Dynamics Calculations Clusters Entropy Fluctuation Internal Interaction Self-Organization Phase Transformations Transition Nanostructures Melting Argon

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Unimolecular Dissociation of H<sup>+</sup><sub style="margin-left:-6px;">2n+1</sub>Hydrogen Clusters: Measured Cross Sections and Theoretically Calculated Rate Constants

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World Journal of Condensed Matter Physics 2013年第4期3卷 207-215页

作者： Mohamed Tabti Adil Eddahbi Soufiane Assouli Lahcen El Arroum said ouaskit Laboratoire Physique de la Matière Condensée (URAC10) Université Hassan II Mohammedia Morocco

In this paper, we studied the process of dissociation unimolecular of the evaporation of H+2n+1 hydrogen clusters according to size, using the Rice-Ramsperger-Kassel-Marcus (RRKM) theory. The rate constants k(E) were determined with the use of statistical theory of unimolecular reactions using various approximations. In our work, we used the products frequencies instead of transitions frequencies in the calculation of unimolecular dissociation rates obtained by three models RRKM. The agreement between the experimental cross section ratio and calculated rate ratio with direct count approximation seems to be reasonable.

关键词： RRKM Rice-Ramsperger-Kassel-Marcus Direct Count Method Classical Method Whitten-Rabinovitch Method High-Energy Cluster Collision Fragmentation Phenomena Cluster Fragmentation Ionic Hydrogen Clusters Ion-Atom Collisions Ionic Cluster Cross Sections Molecular Dissociation Size Effect Metastable States Hydrogen Ions

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