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A Secure Multi-factor Authentication Protocol for Healthcare Services Using Cloud-based SDN

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Computers, Materials & Continua 2023年第2期74卷 3711-3726页

作者： Sugandhi Midha Sahil Verma Kavita Mohit Mittal Nz Jhanjhi Mehedi Masud Mohammed A.AlZain Department of Computer Science and Engineering Chandigarh UniversityMohali140413India Chandigarh Engineering College Jhanjeri Mohali140307India School of Computer Science and Engineering SCETaylor’s UniversitySubang Jaya47500Malaysia FITTaylor’s UniversitySubang Jaya47500Malaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Cloud-based SDN(Software Defined Network)integration offers new kinds of agility,flexibility,automation,and speed in the *** and Cloud providers both leverage the benefits as networks can be configured and optimized based on the application *** integration of cloud and SDN paradigms has played an indispensable role in improving ubiquitous health care *** has improved the real-time monitoring of patients by medical ***’data get stored at the central server on the cloud from where it is available to medical practitioners in no *** centralisation of data on the server makes it more vulnerable to malicious attacks and causes a major threat to patients’*** recent days,several schemes have been proposed to ensure the safety of patients’*** most of the techniques still lack the practical implementation and safety of *** this paper,a secure multi-factor authentication protocol using a hash function has been ***(Body Area Network)logic has been used to formally analyse the proposed scheme and ensure that no unauthenticated user can steal sensitivepatient *** Protocol Animator(SPAN)–Automated Validation of Internet Security Protocols and Applications(AVISPA)tool has been used for *** results prove that the proposed scheme ensures secure access to the database in terms of spoofing and *** comparisons of the proposed scheme with other related historical schemes regarding time complexity,computation cost which accounts to only 423 ms in proposed,and security parameters such as identification and spoofing prove its efficiency.

关键词： Multi-factor authentication hash function BAN logic SPANAVISPA

Performance enhancement of a DC-operated micropump with electroosmosis in a hybrid nanofluid:fractional Cattaneo heat flux problem

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Applied Mathematics and Mechanics(English Edition) 2022年第6期43卷 931-944页

作者： A.M.ALSHARIF A.I.ABDELLATEEF Y.A.ELMABOUD S.I.ABDELSALAM Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Applied Mathematics and Science Faculty of EngineeringNational University of Science and TechnologySeeb 111Sultanate of Oman Department of Mathematics College of Science and Arts at KhulisUniversity of JeddahJeddah 21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar University(Assiut Branch)Assiut 71254Egypt Department of Basic Science Faculty of EngineeringThe British University in EgyptCairo 11837Egypt

The purpose of this investigation is to theoretically shed some light on the effect of the unsteady electroosmotic flow(EOF)of an incompressible fractional secondgrade fluid with low-dense mixtures of two spherical nanoparticles,copper,and *** flow of the hybrid nanofluid takes place through a vertical micro-channel.A fractional Cattaneo model with heat conduction is *** the DC-operated micropump,the Lorentz force is responsible for the pressure difference through the *** Debye-H¨ukel approximation is utilized to linearize the charge *** semianalytical solutions for the velocity and heat equations are obtained with the Laplace and finite Fourier sine transforms and their numerical *** addition to the analytical procedures,a numerical algorithm based on the finite difference method is introduced for the given domain.A comparison between the two solutions is *** variations of the velocity heat transfer against the enhancements in the pertinent parameters are thoroughly investigated *** is noticed that the fractional-order parameter provides a crucial memory effect on the fluid and temperature *** present work has theoretical implications for biofluid-based microfluidic transport systems.

关键词： hybrid nanofluid fractional Cattaneo heat flux Caputo-Fabrizio derivative

Deep Learning-based Environmental Sound Classification Using Feature Fusion and Data Enhancement

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Computers, Materials & Continua 2023年第1期74卷 1069-1091页

作者： Rashid Jahangir Muhammad Asif Nauman Roobaea Alroobaea Jasem Almotiri Muhammad Mohsin Malik Sabah M.Alzahrani Department of Computer Science COMSATS University IslamabadVehari CampusPakistan Department of Computer Science University of Engineering and Technology LahorePakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21974Saudi Arabia

Environmental sound classification(ESC)involves the process of distinguishing an audio stream associated with numerous environmental *** common aspects such as the framework difference,overlapping of different sound events,and the presence of various sound sources during recording make the ESC task much more complicated and *** research is to propose a deep learning model to improve the recognition rate of environmental sounds and reduce the model training time under limited computation *** this research,the performance of transformer and convolutional neural networks(CNN)are *** audio features,chromagram,Mel-spectrogram,tonnetz,Mel-Frequency Cepstral Coefficients(MFCCs),delta MFCCs,delta-delta MFCCs and spectral contrast,are extracted fromtheUrbanSound8K,ESC-50,and ESC-10,***,this research also employed three data enhancement methods,namely,white noise,pitch tuning,and time stretch to reduce the risk of overfitting issue due to the limited audio *** evaluation of various experiments demonstrates that the best performance was achieved by the proposed transformer model using seven audio features on enhanced *** UrbanSound8K,ESC-50,and ESC-10,the highest attained accuracies are 0.98,0.94,and 0.97 *** experimental results reveal that the proposed technique can achieve the best performance for ESC problems.

关键词： Environmental sound classification convolutional neural network deep learning transformer data augmentation

Analyzing the Implications of COVID-19 Pandemic through an Intelligent-Computing Technique

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Computer Systems Science & Engineering 2022年第6期41卷 959-974页

作者： Abhishek Kumar Pandey Jehad F.Al-Amri Ahmad F.Subahi Rajeev Kumar Raees Ahmad Khan Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science University College of Al JamoumUmm Al Qura UniversityMakkah21421Saudi Arabia Department of Computer Applications Shri Ramswaroop Memorial UniversityBarabanki225003India

The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2 virus or COVID-19) disease was declared pandemic by the WorldHealth Organization (WHO) on March 11, 2020. COVID-19 has already affectedmore than 211 nations. In such a bleak scenario, it becomes imperative to analyzeand identify those regions in Saudi Arabia that are at high risk. A preemptivestudy done in the context of predicting the possible COVID-19 hotspots wouldfacilitate in the implementation of prompt and targeted countermeasures againstSARS-CoV-2, thus saving many lives. Working towards this intent, the presentstudy adopts a decision making based methodology of simulation named Analytical Hierarchy Process (AHP), a multi criteria decision making approach, forassessing the risk of COVID-19 in different regions of Saudi Arabia. AHP givesthe ability to measure the risks numerically. Moreover, numerical assessments arealways effective and easy to understand. Hence, this research endeavour employsFuzzy based computational method of decision making for its empirical *** in the proposed paper suggest that Riyadh and Makkah are the mostsusceptible regions, implying that if sustained and focused preventive measuresare not introduced at the right juncture, the two cities could be the worst afflictedwith the infection. The results obtained through Fuzzy based computationalmethod of decision making are highly corroborative and would be very usefulfor categorizing and assessing the current COVID-19 situation in the Kingdomof Saudi Arabia. More specifically, identifying the cities that are likely to beCOVID-19 hotspots would help the country’s health and medical fraternity toreinforce intensive containment strategies to counter the ills of the pandemic insuch regions.

关键词： COVID-19 Saudi Arabian regions risk assessment dynamics of infection fuzzy AHP

Saddle Point Optimality Criteria of Interval Valued Non-Linear Programming Problem

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Computer Systems Science & Engineering 2021年第9期38卷 351-364页

作者： Md Sadikur Rahman Emad E.Mahmoud Ali Akbar Shaikh Abdel-Haleem Abdel-Aty Asoke Kumar Bhunia Department of Mathematics The University of BurdwanBurdwan713104India Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Physics College of SciencesUniversity of BishaP.O.Box 344Bisha61922Saudi Arabia Physics Department Faculty of ScienceAl-Azhar UniversityAssiut71524Egypt

The present paper aims to develop the Kuhn-Tucker and Fritz John criteria for saddle point optimality of interval-valued nonlinear programming *** achieve the study objective,we have proposed the definition of minimizer and maximizer of an interval-valued non-linear programming ***,we have introduced the interval-valued Fritz-John and Kuhn Tucker saddle point *** that,we have established both the necessary and sufficient optimality conditions of an interval-valued non-linear minimization ***,we have shown that both the saddle point conditions(Fritz-John and Kuhn-Tucker)are sufficient without any convexity *** with the convexity requirements,we have established that these saddle point optimality criteria are the necessary conditions for optimality of an interval-valued non-linear programming with real-valued ***,all the results are derived with the help of interval order ***,we illustrate all the results with the help of a numerical example.

关键词： Convexity of interval valued function extended Fritz-John theorem Interval order relation Karlin’s constraint saddle point optimality

Automatic PV Grid Fault Detection System with IoT and LabVIEW as Data Logger

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Computers, Materials & Continua 2021年第11期69卷 1709-1723页

作者： Rohit Samkria Mohammed Abd-Elnaby Rajesh Singh Anita Gehlot Mamoon Rashid Moustafa H.Aly Walid El-Shafai Project Engineer NWTFIndian Institute of TechnologyKanpurIndia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Electronics and Electrical Engineering Lovely Professional UniversityJalandharIndia School of Computer Science and Engineering Lovely Professional UniversityJalandharIndia Department of Electronics and Communications Engineering College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria 1029Egypt Department Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Fault detection of the photovoltaic(PV)grid is necessary to detect serious output power reduction to avoid PV modules’*** identify the fault of the PV arrays,there is a necessity to implement an automatic *** this IoT and LabVIEW-based automatic fault detection of 3×3 solar array,a PV system is proposed to control and monitor Internet connectivity *** component to automatically reconfigure the solar PV array from the series-parallel(SP)to the complete cross-linked array underneath partial shading conditions(PSC)is centered on the Atmega328 system to achieve maximum *** the LabVIEW environment,an automated monitoring system is *** automatic monitoring system assesses the voltage drop losses present in the DC side of the PV generator and generates a decimal weighted value depending on the defective solar panels and transmits this value to the remote station through an RF modem,and provides an indicator of the faulty solar panel over the built-in Interface *** managing of this GUI indicator helps the monitoring system to generate a panel alert for damaged panels in the PV *** MCU in the receiver section enables transmission of the fault status of PV arrays via Internet *** IoT-based Blynk app is employed for visualizing the fault status of the 3×3 PV *** dashboard of Blynk visualizes every array with the status.

关键词： Blynk app IoT LabVIEW node MCU PV array RF modem WSN

Analysis of Cognitive Radio for LTE and 5G Waveforms

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Computer Systems Science & Engineering 2022年第12期43卷 1207-1217页

作者： Ramesh Ramamoorthy Himanshu Sharma A.Akilandeswari Nidhi Gour Arun Kumar Mehedi Masud Centre for Artificial Intelligence Chennai Institute of TechnologyChennaiIndia Department of Computer Science and Engineering JECRC UniversityJaipur303905India Institute of ECE Saveetha School of EngineeringChennaiIndia Department of Electronics and Communication Engineering JECRC UniversityJaipur303905India Department of Computer Science College of Computers and Information TechnologyTaif University11099Saudi Arabia

Spectrum sensing is one of the major concerns in reaching an efficientQuality of service (QOS) in the advanced mobile communication system. Theadvanced engineering sciences such as 5G, device 2 device communications(D2D), Internet of things (IoT), MIMO require a large spectrum for better *** frequency division multiplexing (OFDM) is not a choice in advancedradio due to the Cyclic Prefix (CP), wastage of the spectrum, and so on. Hence, itis important to explore the spectral efficient advanced waveform techniques andcombine a cognitive radio (CR) with the 5G waveform to sense the idle spectrum,which overcomes the spectrum issue. The demand for spectrum is ever increasing;however, spectrum is limited and is an acutely scarce resource. To alleviate theissue, techniques like Cognitive Radios (CR) have been devised. However, suchtechniques are non-standardized, and many variations of CR algorithms have beentried and tested. This paper details the several spectrum sensing methods tailoredfor CR. We explain the benefits, uniqueness, and drawbacks of the various techniques to provide a comprehensive review of the scene, including all recent andnovel techniques of CR. Finally, we provided experimental results for the performance of the CR for key 5G and beyond modulation techniques to elaborate thedependency of the CR techniques for CR applications and provide a competitivereview of their performance. Experiments show that the CR integrated withNOMA shows better performance as compared with existing techniques.

关键词： CR Energy detection FBMC NOMA OFDM

Novel Design of UWB Jeans Based Textile Antenna for Body-Centric Communications

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Computer Systems Science & Engineering 2022年第9期42卷 1079-1093页

作者： Mohammad Monirujjaman Khan Bright Yeboah-Akowuah Kaisarul Islam Eric Tutu Tchao Sumanta Bhattacharyya Rajesh Dey Mehedi Masud Fahad Alraddady Department of Electrical and Computer Engineering North South UniversityDhaka1229Bangladesh Department of Computer Engineering Kwame Nkrumah University of Science and TechnologyKumasiGhana Electronics and Communication Engineering Cambridge Institute of TechnologyRanchiIndia Department of Electronics and Communication Engineering Brainware Group of Institutions-SDETKolkataIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

This research presents an ultra-wideband (UWB) textile antenna designfor body-centric applications. The antenna is printed on a 1 mm thick denim substrate with a 1.7 relative permittivity. The jeans substrate is sandwiched between apartial ground plane and a radiating patch with a Q-shaped slot. The slotted radiating patch is placed above the substrate and measures 27.8 mm × 23.8 mm. In freespace, the antenna covers the ultra-wideband spectrum designated by the FederalCommunication Commission (FCC). Various parameters of the antenna designwere changed for further performance evaluation. Depending on the operating frequency, the antenna's realized gain varied from 2.7 to 5 dB. The antenna achievedhigh radiation efficiency with an omnidirectional radiation pattern. A parametricstudy was performed in research on varying antenna substrates and other components of the antenna. The three outermost layers of the human body are used tomodel a human phantom for on-body simulation. After that, the antenna wasplaced at five different distances from the phantom. The findings demonstrate thatat close distances to the phantom, the antenna's gain and efficiency at lower frequencies are reduced. The antenna's radiation efficiency and gain were muchhigher at higher frequencies for distances greater than 6 mm. Compared to freespace, the antenna's radiation pattern was more omnidirectional, especially athigher frequencies. This antenna is novel, compact and has an ultra wide bandwidth, a maximum of 94.60% radiation efficiency and a 5 dBi gain that will makeit a good candidate for body-centric communications.

关键词： Ultra-wideband body-centric communication on-body textile jeans slotted-patch WBAN

Forecasting of Appliances House in a Low-Energy Depend on Grey Wolf Optimizer

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Computers, Materials & Continua 2022年第5期71卷 2303-2314页

作者： Hatim G.Zaini Computer Engineering Department College of Computer and Information TechnologyTaif UniversityAl HuwayaTaif 26571Saudi Arabia

This paper gives and analyses data-driven prediction models for the energy usage of *** utilized include readings of temperature and humidity sensors from a wireless *** building envelope is meant to minimize energy demand or the energy required to power the house independent of the appliance and mechanical system *** a mapping function between the input variables and the continuous output variable is the work of *** paper discusses the forecasting framework FOPF(Feature Optimization Prediction Framework),which includes feature selection optimization:by removing non-predictive parameters to choose the best-selected feature hybrid optimization technique has been approached.k-nearest neighbors(KNN)Ensemble Prediction Models for the data of the energy use of appliances have been tested against some bases machine learning *** comparison study showed the powerful,best accuracy and lowest error of KNN with RMSE=***,the suggested ensemble model’s performance is assessed using a one-way analysis of variance(ANOVA)test and the Wilcoxon Signed Rank Test.(Two-tailed P-value:0.0001).

关键词： Prediction optimization appliances energy feature selection