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5G Resource Allocation Using Feature Selection and Greylag Goose Optimization Algorithm

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Computers, Materials & Continua 2024年第7期80卷 1179-1201页

作者： amel Ali Alhussan S.K.Towfek Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Science and Intelligent Systems Research Center BlacksburgVA 24060USA

In the contemporary world of highly efficient technological development,fifth-generation technology(5G)is seen as a vital step forward with theoretical maximum download speeds of up to twenty gigabits per second(Gbps).As far as the current implementations are concerned,they are at the level of slightly below 1 Gbps,but this allowed a great leap forward from fourth generation technology(4G),as well as enabling significantly reduced latency,making 5G an absolute necessity for applications such as gaming,virtual conferencing,and other interactive electronic *** of this change are not limited to connectivity alone;it urges operators to refine their business strategies and offers users better and improved digital *** essential factor is optimization and the application of artificial intelligence throughout the general arrangement of intricate and detailed 5G *** Binary Greylag Goose Optimization(bGGO)to achieve a significant reduction in the feature set while maintaining or improving model performance,leading to more efficient and effective 5G network management,and Greylag Goose Optimization(GGO)increases the efficiency of the machine ***,the model performs and yields more accurate *** work proposes a new method to schedule the resources in the next generation,5G,based on a feature selection using GGO and a regression model that is an ensemble of K-Nearest Neighbors(KNN),Gradient Boosting,and Extra Trees *** ensemble model shows better prediction performance with the coefficient of determination R squared value equal *** proposed framework is supported by several Statistical analyses,such as theWilcoxon signed-rank *** of the benefits of this study are the introduction of new efficient optimization algorithms,the selection of features and more reliable ensemble models which improve the efficiency of 5G technology.

关键词： Optimization ensemble learning 5G technology artificial intelligence greylag goose optimization ANOVA test

On fractional discrete financial system:Bifurcation,chaos,and control

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Chinese Physics B 2024年第10期33卷 129-140页

作者： Louiza Diabi Adel Ouannas amel Hioual Shaher Momani Abderrahmane Abbes Laboratory of Dynamical Systems and Control University of Larbi Ben M’hidiOum El Bouaghi 04000Algeria Department of Mathematics and Computer Science University of Larbi Ben M’hidiOum El Bouaghi 04000Algeria Nonlinear Dynamics Research Center Ajman UniversityAjman 346United Arab Emirates Department of Mathematics The University of JordanAmman 11942Jordan Laboratory of Mathematics Dynamics and ModelizationUniversity Badji MokhtarAnnaba 23000Algeria

The dynamic analysis of financial systems is a developing field that combines mathematics and economics to understand and explain fluctuations in financial *** paper introduces a new three-dimensional(3D)fractional financial map and we dissect its nonlinear dynamics system under commensurate and incommensurate *** such,we evaluate when the equilibrium points are stable or unstable at various fractional *** use many numerical methods,phase plots in 2D and 3D projections,bifurcation diagrams and the maximum Lyapunov *** techniques reveal that financial maps exhibit chaotic attractor *** study is grounded on the Caputo-like discrete operator,which is specifically influenced by the variance of the commensurate and incommensurate ***,we confirm the presence and measure the complexity of chaos in financial maps by the 0-1 test and the approximate entropy ***,we offer nonlinear-type controllers to stabilize the fractional financial *** numerical results of this study are obtained using MATLAB.

关键词： financial model stability chaos commensurate and incommensurate orders complexity

Synergistic Effect of Atmospheric Pressure Plasma Pre-Treatment on Alkaline Etching of Polyethylene Terephthalate Fabrics and Films

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Plasma Science and Technology 2016年第4期18卷 346-352页

作者： amel E.A.ELABID 郭颖石建军丁可张菁 State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Material Science and EngineeringDonghua University State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of ScienceDonghua University

Dyeing of PET materials by traditional methods presents several *** technology has received enormous attention as a solution for the environmental problems related with textile surface modifications,and there has been a rapid development and commercialization of plasma technology over the past *** this work,the synergistic effect of atmospheric pressure plasma on alkaline etching and deep coloring of dyeing properties on polyethylene terephthalate（PET）fabrics and films was *** topographical changes of the PET surface were investigated by atomic force microscopy（AFM）images,which revealed a smooth surface morphology of the untreated sample whereas a high surface roughness for the plasma and/or alkaline treated *** effects of atmospheric pressure plasma on alkaline etching of the structure and properties of PET were investigated by means of differential scanning calorimetry（DSC）,the main objective of performing DSC was to investigate the effect of the plasma pre-treatment on the T_g and T_*** a tensile strength tester YG065 H and following a standard procedure the maximum force and elongation at maximum force of PET materials was *** and argon plasma pre-treatment was found to increase the PET fabric weight loss *** color strength of PET fabrics was increased by various plasma pre-treatment *** penetration of plasma and alkaline reactive species deep into the PET structure results in better dyeability and leaves a significant effect on the K/S values of the plasma pre-treated *** indicated that plasma pre-treatment has a great synergistic effect with the alkaline treatment of PET.

关键词： atmospheric pressure plasma synergistic effect alkaline treatment polyethylene terephthalate materials K/S value surface roughness

The Use of Aloe vera as Natural Coagulant in Algerian Drinking Water Treatment Plant

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Journal of Renewable Materials 2022年第3期10卷 625-637页

作者： Abderrezzaq Benalia Kerroum Derbal amel Khalfaoui Antonio Pizzi Ghouti Medjahdi Faculty Process Engineering University of Constantine 3Constantine25000Algeria National Polytechnic School of Constantine Constantine25000Algeria LERMAB-ENSTIB University of LorraineEpinal88000France Institut Jean Lamour Universitéde LorraineCNRSNancy54011France

The purpose of this work is the study the ability of the plant material Aloe vera to act as natural coagulant using raw water obtained from a drinking water treatment plant(Mila,Algeria).Different solvents such as:NaCl;NaOH and HCl were used as chemical activators to extract the active components from the Aloe vera plant,and different coagulation-flocculation experiments were conducted in a jar test apparatus to evaluate the perfor-mance of the extracted ***,the effect of coagulant dose on some water parameters such as turbidity,pH,total alkalinity and organic matter were *** results showed that the use of coagulants obtained by using different solvents increases the coagulation efficiency compared to the coagulant obtained from the raw material,for example the maximum turbidity removal efficiency was 28.23,78.07,83.46 and 85.15%when using powdered Aloe vera(raw material),AV-NaCl(0.5 M),AV-NaOH(0.05 M)and AV-HCl(0.05 M),*** results defined,that the residual turbidity obtained in this work,where the Aloe vera was used(after treat-ment by solvents)produced a turbidity lower than the Algerian standard(5 NTU)with initial turbidity(13 NTU).In this study,the infrared spectrum study and analysis has revealed the presence of different functional groups,which are responsible for the coagulation process.

关键词： Actives components coagulant colloidal particles infrared spectrum solvent

Thermal and Structural Study of Mono- and Multi-Layered Thin Films Composed of CuAlS_(2) Chalcogenide

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Chinese Physics Letters 2013年第10期30卷 217-220页

作者： Taher Ghrib Rawdha Brini amel Lafi Al-otaibi Muneera Abdullah Al-messiere Laboratory of Physical Alloys(LPA) Science Faculty of DammamDammam UniversitySaudi Arabia Laboratory of Photovoltaic and Semiconductor Materials(LPMS) National School of Engineers of Tunis(ENIT)Tunisia Laboratory of Photovoltaic Semiconductors and Nanostructures(LPSN)Technopole Borj-CedriaHammam-LifTunisia

Thin films constituted of CuAlS_(2) nanoparticles deposited with various deposition velocities in single and multilayers onto silicon Si(111)substrates by thermal evaporation have been studied by lifting their structural and thermal *** properties of Si(111)and Si(111)/CuAlS_(2) structures are determined by using the photothermal deflection technique by comparing experimental and theoretical *** succeed in extracting the thermal conductivity,the thermal diffusivity,and the electron free mean path of these deposited chalcogenide *** the multilayers,the obtained values of the thermal conductivity are in good agreement with the theoretical data.

关键词： properties deposited thermal

Airstacknet: A Stacking Ensemble-Based Approach for Air Quality Prediction

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Computers, Materials & Continua 2023年第1期74卷 2073-2096页

作者： amel Ksibi Amina Salhi Ala Saleh Alluhaidan Sahar A.El-Rahman Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairoEgypt

The quality of the airwe breathe during the courses of our daily lives has a significant impact on our health and well-being as ***,personal air quality measurement remains *** this study,we investigate the use of first-person photos for the prediction of air *** main idea is to harness the power of a generalized stacking approach and the importance of haze features extracted from first-person images to create an efficient new stacking model called AirStackNet for air pollution *** consists of two layers and four regression models,where the first layer generates meta-data fromLight Gradient Boosting Machine(Light-GBM),Extreme Gradient Boosting Regression(XGBoost)and CatBoost Regression(CatBoost),whereas the second layer computes the final prediction from the meta-data of the first layer using Extra Tree Regression(ET).The performance of the proposed AirStackNet model is validated using public Personal Air Quality Dataset(PAQD).Our experiments are evaluated using Mean Absolute Error(MAE),Root Mean Square Error(RMSE),Coefficient of Determination(R2),Mean Squared Error(MSE),Root Mean Squared Logarithmic Error(RMSLE),and Mean Absolute Percentage Error(MAPE).Experimental Results indicate that the proposed AirStackNet model not only can effectively improve air pollution prediction performance by overcoming the Bias-Variance tradeoff,but also outperforms baseline and state of the art models.

关键词： Personal air quality prediction airstacknet ensemble learning feature extraction stacking

Efficacy evaluation of the protein isolated from Peganum harmala seeds as an antioxidant in liver of rats

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Asian Pacific Journal of Tropical Medicine 2013年第4期6卷 285-295页

作者： amel M Soliman Helal S Abu-El-Zahab Gamiaa A Alswiai Zoology Department Faculty of ScienceCairo University Zoology Department Faculty of Science

Objective:To evaluate the curative effect of the 132 KD protein isolated from the seeds of Peganum harmala（***） L against carbon tetrachloride（CCl4） induced oxidative stress in ***:Animals were post treated intraperitoneally with 132 KO isolated protein at doses of 4 and 8 mg/kg body weight and bovine serum albumin（BSA）（8 mg/kg body weight） as well as vitamin C（250 mg/kg body weight p.o.） for 7 d after they challenged with CCl4 orally（1 ml/Ag body weight） in olive oil（50%） for 2 ***:The purified protein from seeds of *** plant showed in vitro antioxidant activity with DPPH *** of CCl4 induced induction in serum aminotransferases（AST,ALT）,alkaline phosphatase（ALP）,lipid profile parameters and liver malondialdehyde（MDA） and decrease in serum total protein,liver superoxide dismutase （SOD）,catalase（CAT）,and reduced glutathione（GSH） levels.132 KD protein treatment of rats post CCl4 intoxication successfully alleviated the toxic effects of CCl4.Conclusions:The isolated protein possessed strong antioxidant activity comparable to that of BSA（negative control） and vitamin C（positive control）.

关键词： Carbon tetrachloride Peganum harmala Oxidative stress 132 KD isolated protein

Analysis of Genetic Diversity and Relationships in a Tunisian Fig （Ficus carica） Germplasm Collection by Random Amplified Microsatellite Polymorphisms

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Journal of Integrative Plant Biology 2007年第3期49卷 386-391页

作者： Khaled Chatti Olfa Saddoud amel Salhi-Hannachi Messaoud Mars Mohamed Marrakchi Mokhtar Trifi Laboratory of Molecular Genetics Immunology and Biotechnology Faculty of Sciences Campus University 2092 EI Manar Tunis Tunisia High Institute of Breeding and Horticulture 4042 Chott Mariem Sousse Tunisia

The random amplified mirosatellite polymorphism method was performed in a set of Tunisian fig landraces using eighteen primer combinations. A total of sixty three random amplified microsatellite polymorphism （RAMPO） markers were scored and used either to assess the genetic diversity in these cultivars or to detect cases of mislabeling. Opportunely, data proved that the designed procedure constitutes an attractive and fast method with low costs and prevents radio exposure. As a result, we have identified the primer combinations that are the most efficient to detect genetic polymorphism in this crop. Therefore, the derived unweighted pair-group method with arithmetic averages （UPGMA） dendrogram illustrates the genetic divergence among the landraces studied and exhibits a typically continuous variation. Moreover, no evident correlation between the sexes of trees was observed. In addition, using these markers, discrimination between landraces has been achieved. Thus, random amplified mirosatellite polymor- phism is proved to be powerful for characterizing the local fig germplasm.

关键词： collection Ficus carica genetic diversity germplasm random amplified microsatellite polymorphism Tunisia

Toward a nonlinear control of an AC-DC-PWM converter dedicated to induction heating

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Frontiers in Energy 2013年第2期7卷 140-145页

作者： amel HADRI-HAMIDA S. ZEROUALI A. ALLAG Department of Electrical Engineering LEC Laboratory ConstantineUniversity Constantine 25000 Algeria Department of Electrical Engineering LMSE Laboratory BiskraUniversity Biskra 07000 Algeria

In this paper, a applied to an AC-DC-pulse nonlinear control strategy width modulation （PWM） converter is developed and simulated. First a nonlinear system modeling is derived with state variables of the input current and the output voltage by using power balance of the input and output. The system is linearized and decoupled, and then a state feedback law is obtained. For robust control of parameter perturbation, integrators are added to the exact feedback control law. The simulation is provided to verify the validity of the control algorithm.

关键词： DC-DC converter AC-DC-pulse width mod-ulation (PWM) converter induction heating nonlinearcontrol