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Toward Optimal Cost-Energy Management Green Framework for Sustainable Future Wireless Networks

Computers, Materials & Continua 2021年第7期68卷 1321-1339页

作者： mohammed H.Alsharif Abu Jahid Mahmoud A.Albreem Peerapong Uthansakul Jamel Nebhen khalid Yahya Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical and Computer Engineering University of OttawaOttawaK1N 6N5ONCanada Department of Electronics and Communications Engineering A’Sharqiyah UniversityIbra400Oman School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Mechatronics Faculty of Engineering and ArchitectureIstanbul Gelisim UniversityIstanbul34310Turkey

The design of green cellular networking according to the trafc arrivals has the capability to reduce the overall energy consumption to a cluster in a cost-effective *** cell zooming approach has appealed much attention that adaptively ofoads the BS load demands adjusting the transmit power based on the trafc intensity and green energy ***,the researchers are focused on implementing renewable energy resources,which are considered the most attractive practices in designing energy-efcient wireless networks over the long term in a cost-efcient way in the existing *** utilization of available solar can be adapted to acquire cost-effective and reliable power supply to the BSs,especially that sunlight is free,available everywhere,and a good alternative energy option for the remote ***,planning a photovoltaic scheme necessitates viability assessment to avoid poor power supply,particularly for ***,cellular operators need to consider both technical and economic factors before the implementation of solar-powered *** paper proposed the usercentric cell zooming policy of solar-powered cellular base stations taking into account the optimal technical criteria obtained by the HOMER software *** results have shown that the proposed system can provide operational expenditure(OPEX)savings of up to 47%.In addition,the efcient allocation of resource blocks(RBs)under the cell zooming technique attain remarkable energy-saving performance yielding up to 27%.

关键词： Wireless networks beyond 5G green communications sustainability OPEX communication systems

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Antihyperlipidemic effect of Melothria maderaspatana leaf extracts on DOCA-salt induced hypertensive rats

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Asian Pacific Journal of Tropical Medicine 2012年第6期5卷 434-439页

作者： Chinnadurai Veeramani khalid S Al-Numair Govindasamy Chandramohan mohammed A Alsaif Kodukkur Viswanathan Pugalendi Department of Community Health Sciences College of Applied Medical SciencesKing Sand UniversityP.O.Box 10219Riyadh 11433Saudi Arabia Department of Biochemistry and Biotechnology Annamalai UniversityAnnamalainagar-608 002TamilnaduIndia

Objective:To investigate the antihyperlipidemic effect of crude ethanolic extract of Melothria maderaspatana(***) leaf(CEEM) on deoxycorticosterone acetate(DOCA)-salt hypertensive ***:A midscapular incision was made on each rat and the left kidney was excised after ligation of the renal *** surgical wound was closed using an absorbable *** one week recovery period,hypertension was induced by subcutaneous injection of DOCA-salt solution,twice a week,and the rats received a 1%sodium chloride solution as drinking water throughout the experimental *** or nifedipine was administered orally once a day for 6 ***:In DOCA-salt hypertensive rats,the level of plasma and tissues of total cholesterol(TC),triglycerides(TG),free fatty acids(FFA) and phospholipids (PL) significantly increased and administration of CEEM significantly reduced these parameters towards ***,the levels of low density lipoprotein-cholesterol(LDL-C) and very low density lipoprotein-cholesterol(VLDL-C) significantly increased while high density lipoprotein-cholesterol (HDL-C) decreased in hypertensive rats and administration of CEEM brought these parameters to normality which proved their antihyperlipidemic *** of liver, kidney and heart on DOCA-salt induced rats treated with CEEM showed reduced the damages towards normal ***:These findings provided evidence that CEEM was found to be protecting the liver,kidney and heart against DOCA-salt administration and the protective effect could attribute to its antihyperlipidemic activities.

关键词： DOCA-salt Hypertension CEEM Total cholesterol Triglycerides Free fatty acids Phospholipids

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A New Fault Classification Model for Prognosis and Diagnosis in CNC Machine

A New Fault Classification Model for Prognosis and Diagnosis...

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第25届中国控制与决策会议

作者： khalid Al-jonid WANG Jiayang Nurudeen,mohammed School of Information Science and Engineering Central South University

ISBN: (纸本)9781467355339

This paper presents a new fault classification model and an integrated approach to fault diagnosis which involves the combination of ideas of Neuro-fuzzy Networks （NF）, Dynamic Bayesian Networks （DBN） and Particle Filtering （PF） algorithm on single platform. In the new model we categorize faults in two aspects, namely first and second degree faults. First degree faults are instantaneous in nature and second degree faults are evolutional and appear as a developing phenomenon which start from an initial stage and graduate through development stage and finally ends at a mature stage, these category of fault have a lifetime which is inversely proportional a machine tool life according to modified version of Taylor’s equation expressed as [1]. For fault diagnosis, our framework consists of two phases: the first focusing on fault prognosis which is done online and the second dwelling on fault diagnosis which depends on both off-line and on-line modules. On the first phase a neuro-fuzzy predictor is used take a decision on whether to embark Conditional Based Maintenance （CMB） or fault diagnosis based on the magnitude of a fault. The second phase only comes into action when an evolving fault goes beyond a critical threshold limit called CBM limit for a command to be issued for fault diagnosis. During this phase DBN and PF techniques are used as an intelligent fault diagnosis system to determine the magnitude, time and location of the fault. The feasibility of this approach has been tested in a simulation environment using CNC machine as a case study and the results are studied and analyzed.

关键词： Prognosis Fault Diagnosis Fault evolution Conditional Based Maintenance.

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Enhance Intrusion Detection in Computer Networks Based on Deep Extreme Learning Machine

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Computers, Materials & Continua 2021年第1期66卷 467-480页

作者： Muhammad Adnan Khan Abdur Rehman khalid Masood Khan mohammed A.Al Ghamdi Sultan H.Almotiri Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan School of Computer Science NCBA&ELahore54000Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia

Networks provide a significant function in everyday life,and cybersecurity therefore developed a critical field of *** Intrusion detection system(IDS)becoming an essential information protection strategy that tracks the situation of the software and hardware operating on the *** advancements of growth,current intrusion detection systems also experience difficulties in enhancing detection precision,growing false alarm levels and identifying suspicious *** order to address above mentioned issues,several researchers concentrated on designing intrusion detection systems that rely on machine learning *** learning models will accurately identify the underlying variations among regular information and irregular information with incredible *** intelligence,particularly machine learning methods can be used to develop an intelligent intrusion detection *** in this article in order to achieve this objective,we propose an intrusion detection system focused on a Deep extreme learning machine(DELM)which first establishes the assessment of safety features that lead to their prominence and then constructs an adaptive intrusion detection system focusing on the important *** the moment,we researched the viability of our suggested DELMbased intrusion detection system by conducting dataset assessments and evaluating the performance factors to validate the system *** experimental results illustrate that the suggested framework outclasses traditional *** fact,the suggested framework is not only of interest to scientific research but also of functional importance.

关键词： Intrusion detection system DELM network security machine learning

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Natural Convection of a Power-Law Nanofluid in a Square Cavity with a Vertical Fin

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Fluid Dynamics & Materials Processing 2024年第9期20卷 2091-2108页

作者： Amira M’hadbi mohammed El Ganaoui Haïkel Ben Hamed Amenallah Guizani khalid Chtaibi LERMAB Department of Transition and Energy Efficiency ProfessionsIUT H Poincaréde LongwyUniversity of LorraineLongwy54400France LPT Center for Energy Research and Technologies(Borj Cedria2084)University of Tunis El ManarTunis1068Tunisia LTI Department of Mechanical Engineering and ProductionIUTUniversity of Picardie Jules-VerneAmiens80025France

The behavior of non-Newtonian power-law nanofluids under free convection heat transfer conditions in a cooled square enclosure equipped with a heated fin is investigated *** particular,the impact of nanofluids,composed of water and Al_(2)O_(3),TiO_(2),and Cu nanoparticles,on heat transfer enhancement is *** aim of this research is also to analyze the influence of different parameters,including the Rayleigh number(Ra=10^(4)-10^(6)),nanoparticle volume fraction(φ=0%-20%),non-Newtonian power-law indexes(n=0.6-1.4),and fin dimensions(Ar=0.3,0.5,and 0.7).Streamlines and isotherms are used to depict flow and related heat transfer *** indicate that thermal performance improves with increasing Rayleigh number,regardless of the nanoparticle type or nanofluid rheological *** suggests that the buoyancy force has a significant impact on heat transfer,particularly near the heat *** Nusselt number is more sensitive to variations in Cu nanoparticle volume fractions compared to Al₂O₃and TiO₂.Moreover,the average Nusselt numbers for power-law nanofluids with n1)are greater(smaller)than for Newtonian fluids due to the decrease(increase)in viscosity with increasing(decreasing)shear rate,at the same values of Rayleigh number Ra owing to the amplification(attenuation)of the convective ***,the most substantial enhancement is observed with Cu-water shear-thinning nanofluid,where the Nusselt number increases by 136%when changing from Newtonian to shear thinning behavior and by 154.9%when adding 16%nanoparticle volume ***,an even larger increase of 57%in the average Nusselt number is obtained on increasing the fin length from 0.3 to 0.7.

关键词： Heat transfer nanofluid non-Newtonian fluid natural convection

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Galangin ameliorates changes of membrane-bound enzymes in rats with streptozotocin-induced hyperglycemia

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Asian Pacific Journal of Tropical Biomedicine 2019年第7期9卷 284-290页

作者： Amal A.Aloud Chinnadurai Veeramani Chandramohan Govindasamy mohammed A.Alsaif khalid S.AlNumair Department of Food Sciences and Nutrition College of Food and Agriculture SciencesKing Saud UniversityP.O.Box 2460Riyadh11451Saudi Arabia Department of Community Health Sciences College of Applied Medical SciencesKing Saud UniversityP.O.Box 10219Riyadh 11433Saudi Arabia

Objective: To assess the protective effect of galangin on membrane bound enzymes in rats with streptozotocin-induced diabetes. Methods: A single low dose of streptozotocin was injected to adult male albino rats to induce hyperglycemia. Galangin(8 mg/kg) or glibenclamide 600 μg/kg as a standard drug was given orally once daily for 45 days by gavage. Membrane-bound adenosine triphosphatases were determined including total ATPase, sodium-potassium-ATPase, calcium-ATPase and magnesium-ATPase in erythrocytes and tissues(kidney, liver, and heart). Results: The levels of total ATPases, sodium-potassium-ATPase, calcium-ATPase and magnesium-ATPase in erythrocytes and tissues were significantly altered in diabetic rats as compared to that in normal rats. After 45 days of treatment with galangin or glibenclamide, the levels of these enzymes were similar to that of normal control rats. Conclusions: Oral administration of galangin or glibenclamide can improve activities of these membrane-bound ATPases towards normal levels. Mechanism of galangin needs to be further explored in future.

关键词： Streptozotocin Hyperglycemia Sodium-potassium-ATPase Calcium-ATPase Magnesium-ATPase Galangin

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Direct torque control of doubly fed induction motor using three-level NPC inverter

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Protection and Control of Modern Power Systems 2019年第1期4卷 208-216页

作者： najib El Ouanjli Aziz Derouich Abdelaziz El Ghzizal mohammed Taoussi Youness El Mourabit khalid Mezioui Badre Bossoufi Laboratory of Production Engineering Energy and Sustainable DevelopmentHigher School of TechnologySidi Mohamed Ben Abdellah UniversityFezMorocco Laboratory of Systems Integration and Advanced Technologies Faculty of Sciences Dhar El MahrazSidi Mohamed Ben Abdellah UniversityFezMorocco Laboratory of Electrical Engineering and Maintenance ESTO School of TechnologyUniversity Mohammed IOujdaMorocco

This article presents the direct torque control (DTC) strategy for the doubly fed induction motor (DFIM) connected to two three-level voltage source inverters (3LVSIs) with neutral point clamped (NPC) structure. This control method allows to reduce the torque and flux ripples as well as to optimize the total harmonic distortion (THD) of motor currents. The use of 3LVSI increases the number of generated voltage, which allows improving the quality of its waveform and thus improves the DTC strategy. The system modeling and control are implemented in Matlab/Simulink environment. The analysis of simulation results shows the better performances of this control, especially in terms of torque and flux behavior, compared to conventional DTC.

关键词： Direct torque control Doubly fed induction motor Three-level inverter Ripples Switching table

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Optimal Deep Learning Driven Intrusion Detection in SDN-Enabled IoT Environment

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Computers, Materials & Continua 2023年第3期74卷 6587-6604页

作者： mohammed Maray Haya Mesfer Alshahrani khalid A.Alissa Najm Alotaibi Abdulbaset Gaddah AliMeree Mahmoud Othman Manar Ahmed Hamza Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia SAUDI ARAMCO Cybersecurity Chair Networks and Communications DepartmentCollege of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Prince Saud AlFaisal Institute for Diplomatic Studies RiyadhSaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Warwick UniversityCovetryUK Department of Computer Science Faculty of Computers and Information TechnologyFuture University in Egypt New Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

In recent years,wireless networks are widely used in different *** phenomenon has increased the number of Internet of Things(IoT)devices and their *** IoT has numerous advantages,the commonly-used IoT devices are exposed to cyber-attacks *** scenario necessitates real-time automated detection and the mitigation of different types of attacks in high-traffic *** Software-Defined Networking(SDN)technique and the Machine Learning(ML)-based intrusion detection technique are effective tools that can quickly respond to different types of attacks in the IoT *** Intrusion Detection System(IDS)models can be employed to secure the SDN-enabled IoT environment in this *** current study devises a Harmony Search algorithmbased Feature Selection with Optimal Convolutional Autoencoder(HSAFSOCAE)for intrusion detection in the SDN-enabled IoT *** presented HSAFS-OCAE method follows a three-stage process in which the Harmony Search Algorithm-based FS(HSAFS)technique is exploited at first for feature ***,the CAE method is leveraged to recognize and classify intrusions in the SDN-enabled IoT ***,the Artificial Fish SwarmAlgorithm(AFSA)is used to fine-tune the *** process improves the outcomes of the intrusion detection process executed by the CAE algorithm and shows the work’s *** proposed HSAFSOCAE technique was experimentally validated under different aspects,and the comparative analysis results established the supremacy of the proposed model.

关键词： Internet of things SDN controller feature selection hyperparameter tuning autoencoder

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Construction and Optimization of TRNG Based Substitution Boxes for Block Encryption Algorithms

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Computers, Materials & Continua 2022年第11期73卷 2679-2696页

作者： Muhammad Fahad Khan khalid Saleem mohammed Alotaibi Mohammad Mazyad Hazzazi Eid Rehman Aaqif Afzaal Abbasi Muhammad Asif Gondal Quaid e Azam University Islamabad45320Pakistan Foundation University Islamabad Islamabad44000Pakistan College of Business Administration University of TabukTabuk71491Saudi Arabia Department of Mathematics College of ScienceKing Khalid UniversityAbha61413Saudi Arabia Department of Mathematics and Sciences Dhofar UniversitySalalah211Oman

Internet of Things is an ecosystem of interconnected devices that are accessible through the *** recent research focuses on adding more smartness and intelligence to these edge *** makes them susceptible to various kinds of security *** edge devices rely on cryptographic techniques to encrypt the pre-processed data collected from the sensors deployed in the *** this regard,block cipher has been one of the most reliable options through which data security is *** strength of block encryption algorithms against different attacks is dependent on its nonlinear primitive which is called Substitution *** the design of S-boxes mainly algebraic and chaos-based techniques are used but researchers also found various weaknesses in these *** the other side,literature endorse the true random numbers for information security due to the reason that,true random numbers are purely *** this paper firstly a natural dynamical phenomenon is utilized for the generation of true random numbers based ***,a systematic literature review was conducted to know which metaheuristic optimization technique is highly adopted in the current decade for the optimization of *** on the outcome of Systematic Literature Review(SLR),genetic algorithm is chosen for the optimization of *** results of our method validate that the proposed dynamic S-boxes are effective for the block ***,our results showed that the proposed substitution boxes achieve better cryptographic strength as compared with state-of-the-art techniques.

关键词： IoT security sensors data encryption substitution box generation True Random Number Generators(TRNG) heuristic optimization genetic algorithm

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Local-Tetra-Patterns for Face Recognition Encoded on Spatial Pyramid Matching

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Computers, Materials & Continua 2022年第3期70卷 5039-5058页

作者： Khuram Nawaz Khayam Zahid Mehmood Hassan Nazeer Chaudhry Muhammad Usman Ashraf Usman Tariq mohammed Nawaf Altouri khalid Alsubhi Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Electronics Information and BioengineeringPolitecnico di MilanoMilano20122Italy Department of Computer Science University of Management and TechnologySialkotPakistan College of Computer Engineering and Science Prince Sattam bin Abdulaziz UniversityAlkharj16278Saudi Arabia Department of Computer Science Imam Mohammad Ibn Saud Islamic UniversityRiyadh13318Saudi Arabia Department of Computer Science King Abdulaziz UniversityJeddah21589Saudi Arabia

Face recognition is a big challenge in the research field with a lot of problems like misalignment,illumination changes,pose variations,occlusion,and *** a single solution to solve all these problems at a time is a challenging *** have put some effort to provide a solution to solving all these issues by introducing a face recognition model based on local tetra patterns and spatial pyramid *** technique is based on a procedure where the input image is passed through an algorithm that extracts local features by using spatial pyramid matching ***,the input image is recognized using a robust kernel representation method using extracted *** qualitative and quantitative analysis of the proposed method is carried on benchmark image *** results showed that the proposed method performs better in terms of standard performance evaluation parameters as compared to state-of-the-art methods on AR,ORL,LFW,and FERET face recognition datasets.

关键词： Face recognition local tetra patterns spatial pyramid matching robust kernel representation max-pooling

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