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Upshot of ohmically dissipated Darcy-Forchheimer slip flow of magnetohydrodynamic Sutterby fluid over radiating linearly stretched surface in view of Cash and Carp method

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Applied Mathematics and Mechanics(English Edition) 2019年第6期40卷 861-876页

作者： S. BILAL M. SOHAIL R. NAZ M. Y. MALIK M. alghamdi Department of Mathematics Air UniversityIslamabad 44000Pakistan Department of Applied Mathematics and Statistics Institute of Space TechnologyIslamabad 44000Pakistan Department of Mathematics College of SciencesKing Khalid UniversityAbha 61413Saudi Arabia

The present work concerns the momentum and heat transmission of the electro-magnetohydrodynamic (E-MHD) boundary layer Darcy-Forchheimer flow of a Sutterby fluid over a linear stretching sheet with slip. The nonlinear equations for the proposed model are analyzed numerically. Suitable techniques are used to transform the coupled nonlinear partial differential equations (PDEs) conforming to the forced balance law, energy, and concentration equations into a nonlinear coupled system of ordinary differential equations (ODEs). Numerical solutions of the transformed nonlinear system are obtained using a shooting method, improved by the Cash and Carp coefficients. The influence of important physical variables on the velocity, the temperature, the heat flux coefficient, and the skin-friction coefficient is verified and analyzed through graphs and tables. From the comprehensive analysis of the present work, it is concluded that by intensifying the magnitude of the Hartmann number, the momentum distribution decays, whereas the thermal profile of fluid increases. Furthermore, it is also shown that by aug- menting the values of the momentum slip parameter, the velocity profile diminishes. It is found that the Sutterby fluid model shows shear thickening and shear thinning behaviors. The momentum profile shows that the magnitude of velocity for the shear thickening case is dominant as compared with the shear thinning case. It is also demonstrated that the Sutterby fluid model reduces to a Newtonian model by fixing the fluid parameter to zero. In view of the limiting case, it is established that the surface drag in the case of the Sutterby model shows a trifling pattern as compared with the classical case.

关键词： Sutterby fluid thermal and momentum slip shooting method ohmic dissipation Darcy-Forchheimer law Cash and Carp method

Seeker Optimization with Deep Learning Enabled Sentiment Analysis on Social Media;

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Computers, Materials & Continua 2022年第12期73卷 5985-5999页

作者： Hanan M.alghamdi Saadia H.A.Hamza Aisha M.Mashraqi Sayed Abdel-Khalek Department of Computer Science College of Computing Al-QunfidhahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science and HumanitiesSlayelPrince Sattam Bin AbdulAziz UniversitySaudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UnivesityNajran61441Saudi Arabia Department of Mathematics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Faculty of ScienceSohag UniversitySohagEgypt

World Wide Web enables its users to connect among themselves through social networks,forums,review sites,and blogs and these interactions produce huge volumes of data in various forms such as emotions,sentiments,views,*** Analysis(SA)is a text organization approach that is applied to categorize the sentiments under distinct classes such as positive,negative,and ***,Sentiment Analysis is challenging to perform due to inadequate volume of labeled data in the domain of Natural Language Processing(NLP).Social networks produce interconnected and huge data which brings complexity in terms of expanding SA to an extensive array of ***,there is a need exists to develop a proper technique for both identification and classification of sentiments in social *** get rid of these problems,Deep Learning methods and sentiment analysis are consolidated since the former is highly efficient owing to its automatic learning *** current study introduces a Seeker Optimization Algorithm with Deep Learning enabled SA and Classification(SOADL-SAC)for social *** presented SOADL-SAC model involves the proper identification and classification of sentiments in social *** order to attain this,SOADL-SAC model carries out data preprocessing to clean the input *** addition,Glove technique is applied to generate the feature ***,Self-Head Multi-Attention based Gated Recurrent Unit(SHMA-GRU)model is exploited to recognize and classify the ***,Seeker Optimization Algorithm(SOA)is applied to fine-tune the hyperparameters involved in SHMA-GRU model which in turn enhances the classifier *** order to validate the enhanced outcomes of the proposed SOADL-SAC model,various experiments were conducted on benchmark *** experimental results inferred the better performance of SOADLSAC model over recent state-of-the-art approaches.

关键词： Sentiment analysis classification of sentiment social media seeker optimization algorithm glove embedding natural language processing

An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles

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Computer Systems Science & Engineering 2022年第2期40卷 557-569页

作者： Mesfer Alrizq Shauban Ali Solangi Abdullah alghamdi Muhammad Ali Nizamani Muhammad Ali Memon Mohammed Hamdi College of Computer Science and Information Systems Najran UniversityNajranSaudi Arabia Faculty of Engineering&Technology University of SindhJamshoro78060Pakistan

Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare(mHealthcare)services.A patient within the hospital is monitored by several ***,upon leaving the hospital,the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health *** raises potential challenges for intelligent monitoring of patient's *** this paper,an improved architecture for smart mHealthcare is proposed that is supported by HCI design *** HCI also provides the support for the User-Centric Design(UCD)for smart mHealthcare ***,the HCI along with IoT's(Internet of Things)5-layered architecture has the potential of improving User Experience(UX)in mHealthcare design and help saving *** intelligent mHealthcare system is supported by the IoT sensing and communication layers and health care providers are supported by the application layer for the medical,behavioral,and health-related *** care providers and users are further supported by an intelligent layer performing critical situation assessment and performing a multi-modal communication using an intelligent *** HCI design focuses on the ease-of-use,including user experience and safety,alarms,and error-resistant displays of the end-user,and improves user's experience and user satisfaction.

关键词： Human computer interaction mhealthcare user-centric design sensor network nternet-of-things

A facile construction of heterostructured ZnO/Co_(3)O_(4) mesoporous spheres and superior acetone sensing performance

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Chinese Chemical Letters 2021年第6期32卷 1998-2004页

作者： Mengli Lei Xinran Zhou Yidong Zou Junhao Ma Fahad AAlharthi Abdulaziz alghamdi Xuanyu Yang Yonghui Deng Department of Chemistry State Key Laboratory of Molecular Engineering of PolymersShanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsiChEMFudan UniversityShanghai 200433China Institute of Translational Medicine Shanghai UniversityShanghai 200444China Department of Chemistry College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

The rapid development of internet and internet of things brings new opportunities for the expansion of intelligent sensors,and acetone as a major disease detection indicator(i.e.,diabetes)making it become extremely important clinical ***,uniform mesoporous ZnO spheres were successfully synthesized via novel formaldehyde-assisted metal-ligand crosslinking *** order to adjust the pore structure of mesoporous ZnO,various mesoporous ZnO spheres were synthesized by changing weight percentage of Zn(NO_(3))_(2)·6 H_(2)O to tannic acid(TA).Moreover,highly active heterojunction mesoporous ZnO/Co_(3)O_(4)has been fabricated based on as-prepared ultra-small Co_(3)O_(4)nanocrystals(ca.3 nm)and mesoporous ZnO spheres by flexible impregnation *** from nano-size effect and synergistic effect of p-n heterojunction,mesoporous ZnO/Co_(3)O_(4)exhibited excellent acetone sensing performance with high selectivity,superior sensitivity and ***,5 wt%Co_(3)O_(4)embedded mesoporous ZnO sphere showed prominent acetone response(ca.46 for 50 ppm),which was about 11.5 times higher than that in pure ZnO sensing device,and it was also endowed high cyclic *** nanocrystals embedded hybrid material is expected to be used as promising efficient material in the field of catalysis and gas sensing.

关键词： Mesoporous materials P-N heterojunction Nanocrystal Nano-size effect Gas sensing

Applying Non-Local Means Filter on Seismic Exploration

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Computer Systems Science & Engineering 2022年第2期40卷 619-628页

作者： Mustafa Youldash Saleh Al-Dossary Lama AlDaej Farah AlOtaibi Asma AlDubaikil Noora AlBinali Maha alghamdi College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal UniversityDammamP.O.1982Saudi Arabia Geophysical Application Division Exploration Application Services DepartmentSaudi AramcoDhahranSaudi Arabia

The seismic reflection method is one of the most important methods in geophysical *** are three stages in a seismic exploration survey:acquisition,processing,and *** paper focuses on a pre-processing tool,the Non-Local Means(NLM)filter algorithm,which is a powerful technique that can significantly suppress noise in seismic ***,the domain of the NLM algorithm is the whole dataset and 3D seismic data being very large,often exceeding one terabyte(TB),it is impossible to store all the data in Random Access Memory(RAM).Furthermore,the NLM filter would require a considerably long *** factors make a straightforward implementation of the NLM algorithm on real geophysical exploration data *** paper redesigned and implemented the NLM filter algorithm to fit the challenges of seismic *** optimized implementation of the NLM filter is capable of processing production-size seismic data on modern clusters and is 87 times faster than the straightforward implementation of NLM.

关键词： Seismic exploration parallel programming seismic processing optimizing methods

Recent advance in synthesis and application of heteroatom zeolites

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Chinese Chemical Letters 2021年第1期32卷 328-338页

作者： Tingting Pang Xuanyu Yang Chenyi Yuan Ahmed A.Elzatahry Abdulaziz alghamdi Xing He Xiaowei Cheng Yonghui Deng School of Materials Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Chemistry Shanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsFudan UniversityShanghai 200433China Materials Science and Technology Program College of Arts and SciencesQatar UniversityP.O.Box 2713DohaQatar Department of Chemistry College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

Incorporation of heteroatoms into the framewo rk of zeolites has become a significant strategy to improve their performance in catalysis and adsorption,because the obtained heteroatom zeolites exhibit quite different properties from the conventional aluminosilicate zeolites in aspects of surface acidity,pore structures,particle size and so *** this review,the progress on the heteroatom zeolites including their synthesis and application is ***,the recent advance on the design and synthesis of different heteroatom zeolites is *** emphasis is placed on the introduction and comparison of three typical methods,including the direct synthesis,post synthesis and improved direct synthesis,for the traditional heteroatom zeolites(such as TS-1,Sn-MFI,Sn-β) and newly-reported heteroatom zeolites(such as W-MFI,Mo-MFI).According to their intrinsic characteristics,the application of heteroatom zeolites in diverse fields,such as production of fine chemicals,air pollution control and biomass conversion is then ***,the challenges and perspective on the future development of heteroatom zeolites in low-cost preparation and practical application are proposed.

关键词： Heteroatom zeolite Incorporation Tetrahedral coordination Research status Synthesis Application Prospective

A Novel Database Watermarking Technique Using Blockchain as Trusted Third Party

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Computers, Materials & Continua 2022年第1期70卷 1585-1601页

作者： Ahmed S.alghamdi Surayya Naz Ammar Saeed Eesa Al Solami Muhammad Kamran Mohammed Saeed Alkatheiri Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahKSA Abdul Wali Khan University MardanPakistan Department of Computer Science COMSATS University IslamabadWah CampusWah CanttPakistan

With widespread use of relational database in various real-life applications,maintaining integrity and providing copyright protection is gaining keen interest of the *** this purpose,watermarking has been used for quite a long *** requires the role of trusted third party and a mechanism to extract digital signatures(watermark)to prove the ownership of the data under *** is often inefficient as lots of processing is ***,certain malicious attacks,like additive attacks,can give rise to a situation when more than one parties can claim the ownership of the same data by inserting and detecting their own set of watermarks from the same *** solve this problem,we propose to use blockchain technology—as trusted third party—along with watermarking for providing a means of rights protection of relational *** blockchain for writing the copyright information alongside watermarking helps to secure the watermark as changing the blockchain is very *** way,we combined the resilience of our watermarking scheme and the strength of blockchain technology—for protecting the digital rights information from alteration—to design and implement a robust scheme for digital right protection of relational ***,we also discuss how the proposed scheme can also be used for version *** proposed technique works with nonnumeric features of relational database and does not target only selected tuple or portion(subset)from the database for watermark embedding unlike most of the existing techniques;as a result,the chances of subset selection containing no watermark decrease *** proposed technique employs zerowatermarking approach and hence no intentional error(watermark)is added to the original *** results of the experiments proved the effectiveness of the proposed scheme.

关键词： Watermarking blockchain digital copyright protection relational databases security

Composition and Band Gap Controlled AACVD of ZnSe and ZnS<sub>x</sub>Se<sub>1-x</sub>Thin Films Using Novel Single Source Precursors

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Materials Sciences and Applications 2017年第10期8卷 726-737页

作者： Yousef alghamdi Department of Chemistry Faculty of Science King Abdulaziz University Jeddah KSA

Polycrystalline thin films of ZnSe and ZnSxSe1-x have been deposited on glass substrates by Aerosol Assisted Chemical Vapour Deposition (AACVD) from bis(diethyldiselenocarbamato)zinc(II) and a 1:1 and 1:0.75 mixtures of bis(diethyldiselenocarbamato)zinc(II) and bis(diethyldithiocarbamato)zinc(II) as precursors. All films were characterized by p-XRD, SEM, EDX, Raman spectroscopy, photoluminescence (PL and UV/Vis spectroscopy. The band gap of pure ZnSe thin films was found to be 2.25 whereas the band gap of ZnSxSe1-x films varied from 2.55 to 2.66 eV depending on the sulfur content in the films. PL emission spectra showed a clear blue shift for ZnSxSe1-x films compared to ZnSe due to the sulphur content in the films which increase the band gap. The band gap of ZnSSe can be controlled by sulfur to selenium ratio in the alloy. The morphology of the ZnSe thin films changed from small randomly shaped crystallites to triangles whereas the morphology of ZnSxSe1-x was mainly based on cuboids.

关键词： Bis(diethyldiselenocarbamato)zinc(II) ZnSe ZnSSe AACVD SEM

Suggestion Mining from Opinionated Text of Big Social Media Data

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Computers, Materials & Continua 2021年第9期68卷 3323-3338页

作者： Youseef Alotaibi Muhammad Noman Malik Huma Hayat Khan Anab Batool Saif ul Islam Abdulmajeed Alsufyani Saleh alghamdi Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Faculty of Engineering and Computer SciencesNational University of Modern LanguagesIslamabadPakistan Department of Software Engineering Faculty of Engineering and Computer SciencesNational University of Modern LanguagesIslamabadPakistan Department of Computer Sciences Institute of Space TechnologyIslamabadPakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia

:Social media data are rapidly increasing and constitute a source of user opinions and tips on a wide range of products and *** increasing availability of such big data on biased reviews and blogs creates challenges for customers and businesses in reviewing all content in their decision-making *** overcome this challenge,extracting suggestions from opinionated text is a possible *** this study,the characteristics of suggestions are analyzed and a suggestion mining extraction process is presented for classifying suggestive sentences from online customers’reviews.A classification using a word-embedding approach is used via the XGBoost *** two datasets used in this experiment relate to online hotel reviews and Microsoft Windows App Studio discussion reviews.F1,precision,recall,and accuracy scores are *** results demonstrated that the XGBoost classifier outperforms—with an accuracy of more than 80%.Moreover,the results revealed that suggestion keywords and phrases are the predominant features for suggestion ***,this study contributes to knowledge and practice by comparing feature extraction classifiers and identifying XGBoost as a better suggestion mining process for identifying online reviews.

关键词： Suggestion mining word embedding Naïve Bayes random forest XGBoost dataset