检索结果-南通市图书馆

Communications in Theoretical Physics 2021年第8期73卷 50-66页

作者： muhammad bilal Usman Younas Jingli Ren Henan Academy of Big Data/School of Mathematics and Statistics Zhengzhou UniversityZhengzhou 450001China

Nonlinear Schrödinger-type equations are important models that have emerged from a wide variety of fields,such as fluids,nonlinear optics,the theory of deep-water waves,plasma physics,and so *** this work,we obtain different soliton solutions to coupled nonlinear Schrödinger-type(CNLST)equations by applying three integration tools known as the(G’/G^(2))-expansion function method,the modified direct algebraic method(MDAM),and the generalized Kudryashov *** soliton and other solutions obtained by these methods can be categorized as single(dark,singular),complex,and combined soliton solutions,as well as hyperbolic,plane wave,and trigonometric solutions with arbitrary *** spectrum of the solitons is enumerated along with their existence ***,2D,3D,and contour profiles of the reported results are also plotted by choosing suitable values of the parameters involved,which makes it easier for researchers to comprehend the physical phenomena of the governing *** solutions acquired demonstrate that the proposed techniques are efficient,valuable,and straightforward when constructing new solutions for various types of nonlinear partial differential equation that have important applications in applied sciences and *** the reported solutions are verified by substitution back into the original equation through the software package Mathematica.

关键词： soliton solutions exact solutions CNLST equations (G’/G^(2))-expansion function method MDAM generalized Kudryashov method

Effectiveness of radiative heat flux in MHD flow of Jeffrey-nanofluid subject to Brownian and thermophoresis diffusions

在线全文

学校读者我要写书评

暂无评论

Journal of Hydrodynamics 2019年第2期31卷 421-427页

作者： muhammad Ijaz khan Tasawar Hayat muhammad Waqas Ahmed Alsaedi muhammad Imran khan Department of Mathematics Quaid-I-Azam UniversityIslamabadPakistan Nonlinear Analysis and Applied Mathematics(NAAM)Research Group Department of MathematicsFaculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Heriot Watt University Edinburgh CampusEdinburghUK

Our interest here in this investigation is to explore the thermophoresis and Brownian motion characteristics in flow induced by stretched *** conducted Jeffrey material formulates the flow *** forms of stretching and free stream velocities are *** radiation and convective heating processes describe the phenomenon of heat *** controls of nanoparticles are considered on the *** compatible transformations produce the strong nonlinear differential *** problems are computed analytically utilizing *** nee domain is detennined and major results are concluded for different parameters *** transfer rate and drag force are also explained for various physical *** analysis reveals that heat transfer rate augments via larger radiation parameter and Biot *** larger Brownian motion and thermophoresis parameters have opposite characteristics on concentration field.

关键词： Jeffrey nanomaterial non-linear radiative heat flux convective boundary conditions.Brownian and thermophoresis diffusions

Middle Permian Mixed Siliciclastic-Carbonate System on the Northwestern Margin of the Indian Plate,Pakistan:Implications for Paleoclimate and Carbonate Platform Evolution

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Geologica Sinica(English Edition) 2022年第1期96卷 321-336页

作者： bilal WADOOD Suleman khan LI Hong State Key Laboratory of Continental Dynamics Department of GeologyNorthwest UniversityXi'an 710069China Department of Geology University ofSwabiAnbar-Swabi 23561Pakistan Department of Geology University of PeshawarPeshawar 25120Pakistan

A mixed siliciclastic-carbonate system that responds to changes in Permian climate and subsequent carbonate platform evolution is investigated using microscopic details of the Middle Permian Amb Formation(Fm.),in Saiyiduwali section,Khisor Range,northern *** sections were made from rocks throughout the stratigraphic section of the Amb *** analyzed with an emphasis on carbonate and clastic microfacies,and the latter interpreted within the existing chronostratigraphic *** observations reveal that the units comprise coarse-grained,channelized,ripplemarked,and burrowed sandstone and sandy,fossiliferous limestone with minor marls and shale intercalations,suggesting deposition in a subaqueous tide-dominated delta to beach *** on the determined seven microfacies coupled with outcrop observation,the Amb *** deposited in a tide-influenced subaqueous delta to middle shelf environment under fluctuating sea *** deposition of compositionally mature sandstone in the lower part of the formation suggests reworking of detritus from the rift shoulders and an adjacent source area with an ambient warm and humid *** stratal mixing of carbonates and compositionally mature siliciclastic units in the middle part suggest deposition under tectonic and climate-induced terrigenous and carbonate fluxes to the *** the deposition shows a perfect transition from clastic-dominated deltaic to pure carbonate platform settings as a result of warm climate and *** Middle Permian warming is confirmed by sea-level rise and the presence of a temperature-sensitive fusulinid fauna in association with photozoan-based *** of the Amb *** establishment of a carbonate platform are envisaged to be associated with major rifting of northern Gondwana,which subsequently resulted in the development of a rift basin at the passive margin of the NW Indian Plate then in northern Pakistan.

关键词： sedimentology rifting paleoclimate siliciclastic-carbonate mixed system Guadalupian/Wordian Khisor Range

An Intelligent Privacy Protection Scheme for Efficient Edge Computation Offloading in IoV

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2024年第4期33卷 910-919页

作者： Liang YAO Xiaolong XU Wanchun DOU muhammad bilal School of Software Nanjing University of Information Science and Technology State Key Laboratory for Novel Software Technology Nanjing University Department of Computer and Electronics Systems Engineering Hankuk University of Foreign Studies

As a pivotal enabler of intelligent transportation system(ITS), Internet of vehicles(Io V) has aroused extensive attention from academia and industry. The exponential growth of computation-intensive, latency-sensitive,and privacy-aware vehicular applications in Io V result in the transformation from cloud computing to edge computing,which enables tasks to be offloaded to edge nodes(ENs) closer to vehicles for efficient execution. In ITS environment,however, due to dynamic and stochastic computation offloading requests, it is challenging to efficiently orchestrate offloading decisions for application requirements. How to accomplish complex computation offloading of vehicles while ensuring data privacy remains challenging. In this paper, we propose an intelligent computation offloading with privacy protection scheme, named COPP. In particular, an Advanced Encryption Standard-based encryption method is utilized to implement privacy protection. Furthermore, an online offloading scheme is proposed to find optimal offloading policies. Finally, experimental results demonstrate that COPP significantly outperforms benchmark schemes in the performance of both delay and energy consumption.

关键词： Industries Privacy Energy consumption Transportation Computational efficiency Encryption Protection

One-pot Synthesis,Characterization and Crystal Structure Determination of Novel 1,4,5-Trisubstituted 1,2,3-Triazole with Two Conformational Isomers:1-Benzyl-5-((4-methoxyphenyl)ethynyl)-4-phenyl-1H-1,2,3-triazole

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Structural Chemistry 2016年第1期35卷 55-60页

作者： AHMED muhammad Naeem YASIN Khawaja Ansar khan bilal Ahmad RIAZ muhammad SADIQ-UR-REHMAN LO Kong Mun NASEER muhammad Moazzam ARSHAD Ifzan IRSHAD muhammad Department of Chemistry The University of Azad Jammu and Kashmir Department of Chemistry University of Malaya Department of Chemistry Quaid-i-Azam University Department of Chemistry University of Poonch Rawalakot Azad Kashmir

The title compound l-benzyl-5-（（4-methoxyphenyl）ethynyl）-4-phenyl-1H-1,2,3-triazole（C24H19N3O） was designed and synthesized using one-pot strategy and structural characterization was done by single-crystal X-ray diffraction,NMR,IR and *** compound was crystallized out from an ethanolic solution in triclinic system,space group P1 with a =9.9038（9）,b = 10.2928（9）,c = 18.8715（19）A°,α = 103.541（6）,β = 90.507（7）,γ = 97.157（7）°,V =1854.2（3） A°3,Z = 4,crystal size（mm） = 0.25 × 0.1 × 0.1 and R（int） = *** asymmetric unit contains two independent *** crystal structure of the title compound is stabilized by intramolecular interactions of types C-H…N and C-H…***,X-ray analysis reveals obvious C-H…π,π-π stacking interactions between two adjacent aromatic ring planes.

关键词： click chemistry trisubstituted triazole alkyne crystal structure C–H…π interactions

Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments via Chou’s 5 Step Rule

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第2期66卷 2165-2181页

作者： Shaheena khanum muhammad Adeel Ashraf Asim Karim bilal Shoaib muhammad Adnan khan Rizwan Ali Naqvi Kamran Siddique Mohammed Alswaitti Department of Computer Science Lahore University of Management SciencesLahore54792Pakistan Department of Computer Science University of Management and TechnologyLahore54770Pakistan School of Computer Science Minhaj University LahoreLahore54770Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Unmanned Vehicle Engineering Sejong UniversitySeoulKorea Department of Information and Communication Technology School of Electrical and Computer EngineeringXiamen University MalaysiaSepang43900Malaysia

Glycation is a non-enzymatic post-translational modification which assigns sugar molecule and residues to a *** is a clinically important attribute to numerous age-related,metabolic,and chronic diseases such as diabetes,Alzheimer’s,renal failure,*** of a non-enzymatic reaction are quite challenging in *** identification in labs is a very costly and timeconsuming *** this research,we developed an accurate,valid,and a robust model named as Gly-LysPred to differentiate the glycated sites from non-glycated *** techniques using position relative features are used for feature *** algorithm named as a random forest with some preprocessing techniques and feature engineering techniques was developed to train a computational *** types of testing techniques such as self-consistency testing,jackknife testing,and cross-validation testing are used to evaluate the *** overall model’s accuracy was accomplished through self-consistency,jackknife,and cross-validation testing 100%,99.92%,and 99.88%with MCC 1.00,0.99,and 0.997 *** this regard,a user-friendly webserver is also urbanized to accumulate the whole *** features vectorization methods suggest that they can play a critical role in other web servers which are developed to classify lysine glycation.

关键词： Gly-LysPred PseAAC post-translational modification lysine glycation Chou’s 5 step rule position relative features

LDH-based nanomaterials for photocatalytic applications:A comprehensive review on the role of bi/trivalent cations, anions,morphology, defect engineering, memory effect, and heterojunction formation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2023年第9期84卷 242-276页

作者： Azmat Ali khan muhammad Tahir Nazish khan Baluchistan University of Information Technology Engineering and Management Sciences(BUITEMS)P.O.Box 87100QuettaPakistan Chemical and Petroleum Engineering Department UAE UniversityP.O.Box 15551Al AinUnited Arab Emirates The University of Agriculture Swat P.O.Box 19040Pakistan

Using sunlight to drive chemical reactions via photocatalysis is paramount for a sustainable *** several photocatalysts,employing layered double hydrides(LDH) for photocatalytic application is most straightforward and desirable owing to their distinctive two-dimensional(2D) lamellar structure and optical *** article reviews the advancements in bimetallic/trimetallic LDHs and various strategies to achieve high efficiency toward an outstanding performing ***,the tuning of LDH components that control the electro nic and structural properties is *** tu ning obtained through the adoption,combination,and incorporation of different cations and anions is also *** progress of modification methods,such as the adoption of different morphologies,delamination,and defect engineering towards enhanced photocatalytic activities,is discussed in the *** band engineering,structural characteristics,and redox tuning are further deliberated to maximize solar energy harvesting for different photocatalytic ***,the progress obtained in forming hierarchical heterostructures through hybridization with other semiconductors or conducting materials is systematically disclosed to get maximum photocatalytic ***,the structural changes during the in-situ synthesis of LDH and the stability of LDH-based photocatalysts are *** review also summarizes the improvements in LDH properties obtained through modification tactics and discusses the prospects for future energy and environmental applications.

关键词： LDH Properties Potential photocatalyst Photocatalytic application Photocatalytic properties Improvement strategies

Heart Disease Risk Prediction Expending of Classification Algorithms

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第12期73卷 6595-6616页

作者： Nisha Mary bilal khan Abdullah A.Asiri Fazal muhammad Salman khan Samar Alqhtani Khlood M.Mehdar Hanan Talal Halwani muhammad Irfan Khalaf A.Alshamrani City University of Science and Information Technology Peshawar25000Pakistan Radiology Science Department College of Applied Medical Science Najran University Kingdom of Saudi Arabia Department of Electrical Engineering University of Engineering and TechnologyMardan23200Pakistan Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Anatomy Department Medicine CollegeNajran UniversityNajranSaudi Arabia Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia

Heart disease prognosis(HDP)is a difficult undertaking that requires knowledge and expertise to predict early *** failure is on the rise as a result of today’s *** healthcare business generates a vast volume of patient records,which are challenging to manage *** it comes to data mining and machine learning,having a huge volume of data is crucial for getting meaningful *** methods for predictingHDhave been used by researchers over the last few decades,but the fundamental concern remains the uncertainty factor in the output data,aswell as the need to decrease the error rate and enhance the accuracy of HDP assessment ***,in order to discover the optimal HDP solution,this study compares multiple classification algorithms utilizing two separate heart disease datasets from the Kaggle repository and the University of California,Irvine(UCI)machine learning *** a comparative analysis,Mean Absolute Error(MAE),Relative Absolute Error(RAE),precision,recall,fmeasure,and accuracy are used to evaluate Linear Regression(LR),Decision Tree(J48),Naive Bayes(NB),Artificial Neural Network(ANN),Simple Cart(SC),Bagging,Decision Stump(DS),AdaBoost,Rep Tree(REPT),and Support Vector Machine(SVM).Overall,the SVM classifier surpasses other classifiers in terms of increasing accuracy and decreasing error rate,with RAE of 33.2631 andMAEof 0.165,the precision of 0.841,recall of 0.835,f-measure of 0.833,and accuracy of 83.49 percent for the dataset gathered from *** SC improves accuracy and reduces the error rate for the Kaggle dataset,which is 3.30%for RAE,0.016 percent for MAE,0.984%for precision,0.984 percent for recall,0.984 percent for f-measure,and 98.44%for accuracy.

关键词： Heart disease heart disease datasets evaluation measures classification techniques

SmokerViT: A Transformer-Based Method for Smoker Recognition

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第10期77卷 403-424页

作者： Ali khan Somaiya khan bilal Hassan Rizwan khan Zhonglong Zheng College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua321004China School of Electronics Engineering Beijing University of Posts and TelecommunicationsBeijing100876China Department of Electrical Engineering and Computer Science Khalifa University of Science and TechnologyAbu Dhabi127788United Arab Emirates Key Laboratory of Intelligent Education of Zhejiang Province Zhejiang Normal UniversityJinhua321004China

Smoking has an economic and environmental impact on society due to the toxic substances it *** Neural Networks(CNNs)need help describing low-level features and can miss important ***,accurate smoker detection is vital with minimum false *** answer the issue,the researchers of this paper have turned to a self-attention mechanism inspired by the ViT,which has displayed state-of-the-art performance in the classification *** effectively enforce the smoking prohibition in non-smoking locations,this work presents a Vision Transformer-inspired model called SmokerViT for detecting ***,this research utilizes a locally curated dataset of 1120 images evenly distributed among the two classes(Smoking and NotSmoking).Further,this research performs augmentations on the smoker detection dataset to have many images with various representations to overcome the dataset size *** convolutional operations used in most existing works,the proposed SmokerViT model employs a self-attention mechanism in the Transformer block,making it suitable for the smoker classification ***,this work integrates the multi-layer perceptron head block in the SmokerViT model,which contains dense layers with rectified linear activation and linear kernel regularizer with L2 for the recognition *** work presents an exhaustive analysis to prove the efficiency of the proposed SmokerViT *** performance of the proposed SmokerViT performance is evaluated and compared with the existing methods,where it achieves an overall classification accuracy of 97.77%,with 98.21%recall and 97.35%precision,outperforming the state-of-the-art deep learning models,including convolutional neural networks(CNNs)and other vision transformer-based models.

关键词： Smoker recognition SmokerViT deep learning transformer for vision

Improvement of mobility edge model by using new density of states with exponential tail for organic diode

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2015年第4期24卷 360-365页

作者： muhammad Ammar khan 孙久勋 School of Physical Electronics University of Electronic Science and Technology

The mobility edge （ME） model with single Gaussian density of states （DOS） is simplified based on the recent exper- imental results about the Einstein relationship. The free holes are treated as being non-degenerate, and the trapped holes are dealt with as being degenerate. This enables the integral for the trapped holes to be easily realized in a program. The J-V curves are obtained through solving drift-diffusion equations. When this model is applied to four organic diodes, an obvious deviation between theoretical curves and experimental data is observed. In order to solve this problem, a new DOS with exponential tall is proposed. The results show that the consistence between J-V curves and experimental data based on a new DOS is far better than that based on the Gaussian DOS. The variation of extracted mobility with temperature can be well described by the Arrhenius relationship.

关键词： organic diode potential barriers Einstein relationship