检索结果-南通市图书馆

Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-BasedModels

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2023年第10期137卷 455-487页

作者： Feezan ahmad Xiaowei Tang Jilei Hu Mahmood ahmad Behrouz Gordan State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian116024China Key Laboratory of Geological Hazards on Three Gorges Reservoir Area Ministry of EducationChina Three Gorges UniversityYichang443002China Department of Civil Engineering Faculty of EngineeringInternational Islamic University MalaysiaJalan GombakSelangor50728Malaysia Department of Civil Engineering University of Engineering and Technology Peshawar(Bannu Campus)Bannu28100Pakistan Faculty of Civil Engineering Islamic Azad UniversityVaramin Pishva BranchTehran15914Iran

Slope stability prediction plays a significant role in landslide disaster prevention and *** paper’s reduced error pruning(REP)tree and random tree(RT)models are developed for slope stability evaluation and meeting the high precision and rapidity requirements in slope *** data set of this study includes five parameters,namely slope height,slope angle,cohesion,internal friction angle,and peak ground *** available data is split into two categories:training(75%)and test(25%)*** output of the RT and REP tree models is evaluated using performance measures including accuracy(Acc),Matthews correlation coefficient(Mcc),precision(Prec),recall(Rec),and *** applications of the aforementionedmethods for predicting slope stability are compared to one another and recently established soft computing models in the *** analysis of the Acc together with Mcc,and F-score for the slope stability in the test set demonstrates that the RT achieved a better prediction performance with(Acc=97.1429%,Mcc=0.935,F-score for stable class=0.979 and for unstable case F-score=0.935)succeeded by the REP tree model with(Acc=95.4286%,Mcc=0.896,F-score stable class=0.967 and for unstable class F-score=0.923)for the slope stability dataset The analysis of performance measures for the slope stability dataset reveals that the RT model attains comparatively better and reliable results and thus should be encouraged in further research.

关键词： Slope stability seismic excitation static condition random tree reduced error pruning tree

Removing Random-Valued Impulse Noises by a Two-Staged Nonlinear Filtering Method

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Transactions of Nanjing University of Aeronautics and Astronautics 2016年第3期33卷 329-338页

作者： ahmad Ashfaq Lu Yanting National Astronomical Observatories/Nanjing Institute of Astronomical Optics&Technology Chinese Academy of SciencesNanjing 210042P.R.China Key Laboratory of Astronomical Optics&Technology Nanjing Institute of Astronomical Optics&TechnologyChinese Academy of SciencesNanjing 210042P.R.China University of Chinese Academy of Sciences Beijing 100049P.R.China

Digital images are frequently contaminated by impulse noise(IN)during acquisition and *** removal of this noise from images is essential for their further *** this paper,a two-staged nonlinear filtering algorithm is proposed for removing random-valued impulse noise(RVIN)from digital *** pixels are identified and corrected in two cascaded *** statistics of two subsets of nearest neighbors are employed as the criterion for detecting noisy pixels in the first stage,while directional differences are adopted as the detector criterion in the second *** respective adaptive median values are taken as the replacement values for noisy pixels in each *** performance of the proposed method was compared with that of several existing *** experimental results show that the performance of the suggested algorithm is superior to those of the compared methods in terms of noise removal,edge preservation,and processing time.

关键词： image de-noising random-valued impulse noise nonlinear filter noisy pixel detection two-stage detection and correction method cascaded stages directional differences

Charged Randall-Sundrum Braneworld Type Ⅱ with Higher Order Curvature Corrections from Superstring Arguments and Dominated by Quintessence

在线全文

学校读者我要写书评

暂无评论

Communications in Theoretical Physics 2010年第5期53卷 869-881页

作者： EL-NABULSI ahmad Rami Department of Nuclear and Energy Engineering Cheju National University

We discuss a new class of RSII braneworld cosmology exhibiting accelerated expansion and dominated by quintessence. It is explicitly demonstrated that the universe expansion history （transition from inflation to deceleration epoch to acceleration and effective quintessence era） may naturally occur in such unified theory for some classes of inverse scalar potentials. Besides a decaying effective cosmological constant, the model incorporates an increasing black hole mass, an increasing Maxwellian electrical charge with cosmic time and a time-dependent brahe tension. The cosmological model exhibits several features of cosmological and astrophysical interest for both the early and late universe consistent with recent observations, in particular the ones concerned with the gravitational constants, black holes masses and charges and variation of the gauge coupling parameters with cosmic time. One interesting mark of the constructed model concerns the fact that a black hole mass surrounded by quintessence energy may increase with time even if the horizon disappears.

关键词： brane world RSII cosmology higher order curvature corrections black hole black strings effective cosmological constant Maxwellian charge quintessence accelerated expansion

An Efficient Meshless Method for Hyperbolic Telegraph Equations in (1 + 1) Dimensions

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2021年第8期128卷 687-698页

作者： Fuzhang Wang Enran Hou Imtiaz ahmad Hijaz ahmad Yan Gu College of Mathematics and Statistics Xuzhou University of TechnologyXuzhou221018China College of Mathematics Huaibei Normal UniversityHuaibei235000China Department of Mathematics University of SwabiSwabi25000Pakistan Department of Basic Sciences University of Engineering and TechnologyPeshawar25000Pakistan College of Mathematics Qingdao UniversityQingdao266071China

Numerical solutions of the second-order one-dimensional hyperbolic telegraph equations are presented using the radial basis *** purpose of this paper is to propose a simple novel direct meshless scheme for solving hyperbolic telegraph *** is fulfilled by considering time variable as normal space *** this scheme,there is no need to remove time-dependent variable during the whole solution *** the numerical solution accuracy depends on the condition of coefficient matrix derived from the radial basis function *** propose a simple shifted domain method,which can avoid the full-coefficient interpolation matrix *** experiments performed with the proposed numerical scheme for several second-order hyperbolic telegraph equations are presented with some discussions.

关键词： Radial basis functions telegraph equation shifted domain method meshless method

Research advances on how metformin improves memory impairment in “chemobrain”

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2022年第1期17卷 15-19页

作者： ahmad Alhowail Sridevi Chigurupati Department of Pharmacology and Toxicology College of PharmacyQassim UniversityBuraidahKingdom of Saudi Arabia Department of Medicinal Chemistry and Pharmacognosy College of PharmacyQassim UniversityBuraydahKingdom of Saudi Arabia

Cognitive impairment caused by chemotherapy,referred to as“chemobrain,”is observed in approximately 70% of cancer ***,it is not completely understood how chemotherapy induces cognitive dysfunction,and clinical treatment strategies for this problem are ***,used as a first-line treatment for type 2 diabetes mellitus,is reported to reduce the effects of ***,several studies have examined the effect of metformin in rescuing *** review discusses recent clinical/preclinical studies that addressed some mechanisms of chemobrain and evaluates the effect of metformin in rescuing chemobrain and its potential mechanisms of action.

关键词： behavioral task chemobrain chemotherapy cognitive impairments inflammation memory impairment metformin neuroprotective agent review

Integrated Random Early Detection for Congestion Control at the Router Buffer

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2022年第2期40卷 719-734页

作者： ahmad Adel Abu-Shareha The World Islamic Sciences and Education University(WISE) AmmanJordan

This paper proposed an Integrated Random Early Detection(IRED)method that aims to resolve the problems of the queue-based AQM and loadbased AQM and gain the benefits of both using indicators from both *** arrival factor(e.g.,arrival rate,queue and capacity)and the departure factors are used to estimate the congestion through two integrated *** utilized indicators are mathematically calculated and integrated to gain unified and coherent congestion ***,IRED is built based on a new dropping calculation approach that fits the utilized congestion indicators while maintaining the intended buffer management criteria,avoiding global synchronization and enhancing the *** results showed that IRED,compared to RED,BLUE,ERED,FLRED,EnRED and DcRED,decreased packet delay and loss under various network ***,the results showed that in heavy and moderate traffic,the proposed IRED method outperformed the state-of-the-art methods in loss and delay by 18% and 10.6%,respectively.

关键词： Congestion random early detection active queue management

A Model Transformation Approach for Detecting Distancing Violations in Weighted Graphs

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2021年第1期36卷 13-39页

作者： ahmad F.Subahi Department of Computer Science University College of Al JamoumUmm Al Qura UniversityMakkah21421Saudi Arabia

This work presents the design of an Internet of Things(IoT)edge-based system based on model transformation and complete weighted graph to detect violations of social distancing measures in indoor public *** sensor network based on Bluetooth Low Energy is introduced as the infrastructure of the proposed design.A hybrid model transformation strategy for generating a graph database to represent groups of people is presented as a core middleware layer of the detecting system’s proposed architectural design.A Neo4j graph database is used as a target implementation generated from the proposed transformational system to store all captured real-time IoT data about the distances between individuals in an indoor area and answer user predefined queries,expressed using Neo4j Cypher,to provide insights from the stored data for decision *** proof of concept,a discrete-time simulation model was adopted for the design of a COVID-19 physical distancing measures case study to evaluate the introduced system ***-one weighted graphs were generated randomly and the degrees of violation of distancing measures were *** experimental results demonstrate the capability of the proposed system design to detect violations of COVID-19 physical distancing measures within an enclosed area.

关键词： Model-driven engineering(MDE) Internet-of-Things(IoTs) model transformation edge computing system design Neo4j graph databases

Machine Learning Approaches to Detect DoS and Their Effect on WSNs Lifetime

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 2022年第3期70卷 4921-4946页

作者： Raniyah Wazirali Rami ahmad College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia The School of Information Technology Sebha UniversitySebha71Libya

Energy and security remain the main two challenges in Wireless Sensor Networks(WSNs).Therefore,protecting these WSN networks from Denial of Service(DoS)and Distributed DoS(DDoS)is one of the WSN networks security *** packet deep scan systems that rely on open field inspection in transport layer security packets and the open field encryption trend are making machine learning-based systems the only viable choice for these types of *** paper contributes to the evaluation of the use machine learning algorithms in WSN nodes traffic and their effect on WSN network life *** examined the performance metrics of different machine learning classification categories such asK-Nearest Neighbour(KNN),Logistic Regression(LR),Support Vector Machine(SVM),Gboost,Decision Tree(DT),Na飗e Bayes,Long Short Term Memory(LSTM),and Multi-Layer Perceptron(MLP)on aWSN-dataset in different *** test results proved that the statistical and logical classification categories performed the best on numeric statistical datasets,and the Gboost algorithm showed the best performance compared to different algorithms on average of all performance *** performance metrics used in these validations were accuracy,F1-score,False Positive Ratio(FPR),False Negative Ratio(FNR),and the training execution ***,the test results showed the Gboost algorithm got 99.6%,98.8%,0.4%0.13%in accuracy,F1-score,FPR,and FNR,*** training execution time,it obtained 1.41 s for the average of all training time execution *** addition,this paper demonstrated that for the numeric statistical data type,the best results are in the size of the dataset ranging from3000 to 6000 records and the percentage between categories is not less than 50%for each category with the other ***,this paper investigated the effect of Gboost on the WSN lifetime,which resulted in a 32%reduction compared to other Gboost-free scenarios.

关键词： WSN intrusion detection machine learning DoS attack WSN security WSN lifetime

Influence of absorber doping in a-SiC:H/a-Si:H/a-SiGe:H solar cells

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 Semiconductors 2012年第4期33卷 1-6页

作者： Muhammad Nawaz Ashfaq ahmad University Graduate Centre(UNIK) Gunnar Randers Vei 19P.O.Box 70N-2027 KjellerNorway COMSATs Institute of Information Technology Off-Raiwand RoadLahore-54000Pakistan

This work deals with the design evaluation and influence of absorber doping for aSi：H/aSiC：H/a SiGe：H based thinfilm solar cells using a twodimensional computer aided design （TCAD） tool. Various physical parameters of the layered structure, such as doping and thickness of the absorber layer, have been studied. For reliable device simulation with realistic predictability, the device performance is evaluated by implementing nec essary models （e.g., surface recombinations, thermionic field emission tunneling model for carrier transport at the heterojunction, SchokleyRead Hall recombination model, Auger recombination model, bandgap narrowing ef fects, doping and temperature dependent mobility model and using FermiDirac statistics）. A single absorber with a graded design gives an efficiency of 10.1% for 800 nm thick multiband absorption. Similarly, a tandem design shows an efficiency of 10.4% with a total absorber of thickness of 800 nm at a bandgap of 1.75 eV and 1.0 eV for the top aSi and bottom aSiGe component cells. A moderate ndoping in the absorber helps to improve the efficiency while p doping in the absorber degrades efficiency due to a decrease in the Voc （and fill factor） of the device.

关键词： solar cells modeling TCAD amorphous silicon HIT cells