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Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

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Frontiers of Structural and Civil Engineering 2021年第1期15卷 80-98页

作者： Mahmood ahmad Xiao-Wei TANG Jiang-Nan QIU Feezan ahmad State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China Department of Civil Engineering University of Engineering and Technology Peshawar(Bannu Campus)Bannu 28100Pakistan Faculty of Management and Economics Dalian University of TechnologyDalian 116024China Department of Civil Engineering Abasyn UniversityPeshawar 25000Pakistan

Liquefaction-induced lateral displacement is responsible for considerable damage to engineered structures during major ***,an accurate estimation of lateral displacement in liquefaction-prone regions is an essential task for geotechnical experts for sustainable *** paper presents a novel probabilistic framework for evaluating liquefaction-induced lateral displacement using the Bayesian belief network(BBN)approach based on an interpretive structural modeling *** BBN models are trained and tested using a wide-range casehistory records *** two BBN models are proposed to predict lateral displacements for free-face and sloping ground *** predictive performance results of the proposed BBN models are compared with those of frequently used multiple linear regression and genetic programming *** results reveal that the BBN models are able to learn complex relationships between lateral displacement and its influencing factors as cause-effect relationships,with reasonable *** study also presents a sensitivity analysis to evaluate the impacts of input factors on the lateral displacement.

关键词： Bayesian belief network seismically induced soil liquefaction interpretive structural modeling lateral displacement

Nanocomposite superstructure of zinc oxide mesocrystal/reduced graphene oxide with effective photoconductivity

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Journal of Semiconductors 2024年第11期45卷 81-88页

作者： ahmad A.ahmad Qais M.Al-Bataineh ahmad B.Migdadi Department of Physical Sciences Jordan University of Science&TechnologyP.O.Box 3030Irbid-22110Jordan

Metal oxide mesocrystals are the alignment of metal oxide nanoparticles building blocks into the ordered superstructure,which have potentially tunable optical,electronic,and electrical properties suitable for practical ***,we report an effective method for synthesizing mesocrystal zinc oxide nanorods(ZnONRs).The crystal,surface,and internal structures of the zinc oxide mesocrystals were fully *** zinc oxide nanorods/reduced graphene oxide(ZnONRs/rGO)nanocomposite superstructure were synthesized also using the hydrothermal *** crystal,surface,chemical,and internal structures of the ZnONRs/rGO nanocomposite superstructure were also fully *** optical absorption coefficient,bandgap energy,band structure,and electrical conductivity of the ZnONRs/rGO nanocomposite superstructure were investigated to understand its optoelectronic and electrical ***,the photoconductivity of the ZnONRs/rGO nanocomposite superstructure was explored to find the possibilities of using this nanocomposite superstructure for ultraviolet(UV)photodetection ***,we concluded that the ZnONRs/rGO nanocomposite superstructure has high UV sensitivity and is suitable for UV detector applications.

关键词： mesocrystals superstructure mesocrystal zinc oxide nanorods(ZnONRs) meduced graphene oxide(rGO) ZnONRs/rGO nanocomposite superstructure UV photodetection

Investigating the Relevance of Arabic Text Classification Datasets Based on Supervised Learning

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Journal of Electronic Science and Technology 2022年第2期20卷 187-208页

作者： ahmad Hussein Ababneh the Computer Science Department American University of MadabaMadaba 2882

Training and testing different models in the field of text classification mainly depend on the pre-classified text document datasets. Recently, seven datasets have emerged for Arabic text classification, including Single-Label Arabic News Articles Dataset(SANAD), Khaleej, Arabiya, Akhbarona, KALIMAT, Waten2004, and Khaleej2004. This study investigates which of these datasets can provide significant training and fair evaluation for text classification(TC). In this investigation, well-known and accurate learning models are used, including naive Bayes(NB), random forest(RF), K-nearest neighbor(KNN), support vector machines(SVM), and logistic regression(LR) models. We present relevance and time measures of training the models with these datasets to enable Arabic language researchers to select the appropriate dataset to use based on a solid basis of comparison. The performances of the five learning models across the seven datasets are measured and compared with the performances of the same models trained on a well-known English language dataset. The analysis of the relevance and time scores shows that training the SVM model on Khaleej and Arabiya obtained the most significant results in the shortest amount of time,with the accuracy of 82%.

关键词： shortest enable neighbor

Singular integral operators on product domains along twisted surfaces

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Frontiers of Mathematics in China 2021年第1期16卷 13-28页

作者： ahmad AL-SALMAN Department of Mathematics Sultan Qaboos UniversitySultanateOman Department of MathematicsYarmouk UniversityIrbidJordan

We introduce a class of singular integral operators on product domains along twisted *** prove that the operators are bounded on L^(p) provided that the kernels satisfy weak conditions.

关键词： Singular integral operators on product domains rough kernels L^(p)estimates Hardy Littlewood maximal function truncated maximal singular integrals twisted surfaces block spaces

PCR Targeting of Antibiotic Resistant Bacteria in Public Drinking Water of Lahore Metropolitan,Pakistan

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Biomedical and Environmental Sciences 2009年第6期22卷 458-463页

作者： zahoor QADIR SAMRA MARIAM NASEEM SUMARIA JAVED KHAN NADIA DAR MUHAMMAD AMIN ATHAR Institute of Biochemistry and Biotechnology Quaid-i-Azam CampusUniversity of the PunjabLahore 54590Pakistan Jinnah Degree College for Women Mozang RoadLahorePakistan

Objective To investigate the prevalence of kanamycin （kan） and ampicillin （amp） resistant bacteria in public drinking water. Methods Bacteria containing kan and amp resistant genes were amplified by PCR and further characterized by colony hybridization and transformation studies. The genus of kan and amp resistant bacteria was determined with standard methods. Results Among the 625 drinking water samples, 400 contained kan and amp resistant bacteria and the percentage was 42.5% and 57.5%, respectively, which was further confirmed by the amplification of a 810 bp kan resistant gene and a 850 bp amp resistant gene. Of the 170 kan resistant bacteria, 90 were Gram negative and 80 were Gram positive. Of the 230 amp resistant bacteria, 160 were Gram negative while 70 were Gram positive. Salmonella, Shigella, Staphylococcus, Streptococcus, and *** were detected as 13%, 11%, 17%, 30%, and 29%, respectively. Bacterial strain DH5α transformed with plasmids isolated from kan and amp resistant bacteria confirmed that the antibiotic resistant genes were mediated by plasmids. Conclusion Drinking water is contaminated with kan and amp resistant bacteria due to poor sanitary conditions.

关键词： Kanamycin Ampicillin PCR Plasmid Colony hybridization

Weighted ebyev-Ostrowski type inequalities

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Applied Mathematics and Mechanics(English Edition) 2007年第7期28卷 901-906页

作者： Arif Rafiq Nazir ahmad Mir Farooq ahmad Mathematics Department COMSATS Institute of Information TechnologyIslamabad 44000Pakistan Centre for Advanced Studies in Pure and Applied Mathematics Bahanddin Zakariya UniversityMultan 60800Pakistan

In account of the famous Cebysev inequality, a rich theory has appeared in the literature. We establish some new weighted Cebysev type integral inequalities. Our proofs are of independent interest and provide new esti... 详细信息

关键词： Cebysev type inequalities L∞ (a b) spaces absolutely continuous functions weight functions

Stochastic Investigations for the Fractional Vector-Host Diseased Based Saturated Function of Treatment Model

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Computers, Materials & Continua 2023年第1期74卷 559-573页

作者： Thongchai Botmart Qusain Hiader Zulqurnain Sabir Muhammad Asif zahoor Raja Wajaree Weera Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Mathematics University of GujratGujrat50700Pakistan Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Future Technology Research Center National Yunlin University of Science and Technology123 University RoadSection 3Douliou64002YunlinTaiwan

The goal of this research is to introduce the simulation studies of the vector-host disease nonlinear system(VHDNS)along with the numerical treatment of artificial neural networks(ANNs)techniques supported by Levenberg-Marquardt backpropagation(LMQBP),known as *** mechanism is physically appropriate,where the number of infected people is increasing along with the limited health ***,the biological effects have fadingmemories and exhibit transition ***,the model is developed by considering the two and three categories for the humans and the vector *** VHDNS is constructed with five classes,susceptible humans Sh(t),infected humans Ih(t),recovered humans Rh(t),infected vectors Iv(t),and susceptible vector Sv(t)based system of the fractional-order nonlinear ordinary differential *** solve the number of variations of the VHDNS,the numerical simulations are performed using the stochastic *** achieved numerical solutions for solving the VHDNS using the stochastic ANNs-LMQBP have been described for training,verifying,and testing data to decrease the mean square error(MSE).An extensive analysis is provided using the correlation studies,MSE,error histograms(EHs),state transitions(STs),and regression to observe the accuracy,efficiency,expertise,and aptitude of the computing ANNs-LMQBP.

关键词： Nonlinear mathematical vector host disease model fractional order levenberg marquardt backpropagation neural network reference database

Joint slip investigation based on finite element modelling verified by experimental results on wind turbine lattice towers

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Frontiers of Structural and Civil Engineering 2018年第3期12卷 341-351页

作者： Saleh YAGHOOBI ahmad SHOOSHTARI Civil Engineering Department Ferdowsi University of Mashhad Mashhad Iran

Slippage corresponds to the relative displacement of a bolted joint subjected to shear loads since the construction clearance between the bolt shank and the bolthole at assembly can cause joint slip. Deflections of towers with joint slippage effects is up to 1.9 times greater than the displacements obtained by linear analytical methods. In this study, 8 different types of joints are modelled and studied in the finite element program, and the results are verified by the experimental results which have been done in the laboratory. Moreover, several types of joints have been modelled and studied and load-deformation curves have also been presented. Finally, joint slip data for different types of angles, bolt diameter and bolt arrangements are generated. Thereupon, damping ratios （ζ） for different types of connections are reported. The study can be useful to help in designing of wind turbine towers with a higher level of accuracy and safety.

关键词： Joint slip cyclic loading Finite element modelling Experimental joint behavior damping ratios (ζ)

Discrete simulation and micromechanical analysis of two-dimensional saturated granular media

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Particuology 2014年第4期12卷 138-150页

作者： Younes Khalili ahmad Mahboubi Department of Civil and Environmental Engineering.Power and Water University of Technology TehranIran

In this study, a novel approach to incorporate the pore water pressure in the discrete element method （DEM） to comprehensively model saturated granular media was developed. A numerical model was constructed based on the DEM by implanting additional routines in the basic DEM code; pore water pressure calculations were used with a two-dimensional （2D） model to simulate the undrained behavior of satu- rated granular media. This model coupled the interaction of solid particles and the pore fluid in saturated granular media. Finally, several 2D undrained shear tests were simulated. The test results showed that the model could predict the response of the saturated granular soil to shear loading. The effect of initial compaction was investigated. Biaxial tests on dense and loose specimens were conducted, and the effect of the initial density on the change in shear strength and the volume change of the system was inves- tigated. The overall behavior of loose and dense specimens was phenomenologically similar to the real granular material. Constant volume tests were simulated, and the results were compared to those from the coupled model. Induced anisotropy was micromechanically investigated by studying the contact force orientation. The change in anisotropy depended on the modeling scheme. However, the overall responses of the media obtained usinz the couoled and constant volume methods were similar.

关键词： DEM Saturated granular media Numerical simulation Micromechanical investigation