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Respiratory Mechanics, Respiratory Muscle Strength, Control of Ventilation and Gas Exchange in Patients with Autoimmune Liver Disease

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Finite Element Analysis of the Contact Mechanics of Ceramic-on-Ceramic Hip Resurfacing Prostheses

Open Journal of Respiratory Diseases（呼吸病期刊） 2024年第2期 25页

作者： ahmet Baydur Jacob Korula

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Journal of Bionic Engineering 2010年第3期7卷 244-253页

作者： ahmet C.Cilingir Department of Mechanical Engineering Sakarya University

Ceramics are good alternative to metal as bearing couple materials because of their better wear resistance. A Finite Element(FE) study was performed to investigate the contact mechanics and stress distribution of Ceramic-on-Ceramic (COC) hip resurfacingprostheses. It was focused in particular on a parametric study to examine the effects of radial clearance, loading,alumina coating on the implants, bone quality, and fixation of cup-bone interface. It was found that a reduction in the radialclearance had the most significant effect on the predicted contact pressure distribution among all of the parameters considered inthis study. It was determined that there was a significant influence of non-metallic materials, such as the bone underneath thebearing components, on the predicted contact mechanics. Stress shielding within the bone tissue was found to be a major concernwhen regarding the use of ceramic as an alternative to metallic resurfacing prostheses. Therefore, using alumina implantswith a metal backing was found to be the best design for ceramic resurfacing prostheses in this study. The loading, bone quality,and acetabular cup fixation conditions were found to have only minor effects on the predicted contact pressure distribution alongthe bearing surfaces.

关键词： contact mechanics hip resurfacing ceramic finite element analysis

Effect of Rotational and Sliding Motions on Friction and Degeneration of Articular Cartilage under Dry and Wet Friction

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Journal of Bionic Engineering 2015年第3期12卷 464-472页

作者： ahmet C. Cilingir Department of Mechanical Engineering Sakarya University 54187 Sakatya Turkey

Understanding the tribological properties of articular cartilage allows scientists to evaluate degenerative joint diseases and develop new treatment techniques. The objectives of this study are to demonstrate the detrimental effect of rotational motion under both dry and wet friction and to evaluate the friction and wear behavior of bovine articular cartilage with sliding and rotational testing configurations that represent fluid film and boundary lubrication mechanisms, respectively. The articular cartilage pin and plate samples were harvested from healthy adult bovine and then tested on a self-made friction and wear simulator. Cartilage samples were subjected to sliding and rotational motions under constant load. Friction coefficients and wear factors were calculated under three conditions： using bovine serum, phosphate buffered saline and with no lubricant present. The friction coefficient and wear factor of the articular cartilage were significantly increased with rotational motion under both dry and wet friction. Using bovine serum as lubricant in the sliding testing configuration the friction coefficient and wear factor of articular cartilage were both decreased. A similar decrease in the tribological properties of cartilage was initially observed for the rotational testing configuration with bovine serum; however, the friction coefficient and wear factor were increased after 150,000 cycles. In the absence of lubricant, the articular cartilage was entirely worn on contact area in both sliding and rotational testing configurations. Bovine serum proved an effective fluid film lubricant for articular cartilage surfaces.

关键词： articular cartilage rotational motion sliding motion dry friction wet friction wear

Bright and dark soliton solutions for some nonlinear fractional differential equations

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Chinese Physics B 2016年第3期25卷 52-59页

作者： Ozkan Guner ahmet Bekir Cankiri Karatekin University Faculty of Economics and Administrative Sciences Department of International Trade CankiriTurkey Eskisehir Osmangazi University Art-Science Faculty Department of Mathematics-Computer Eskisehir Turkey

In this work, we propose a new approach, namely ansatz method, for solving fractional differential equations based on a fractional complex transform and apply it to the nonlinear partial space-time fractional modified Benjamin-Bona- Mahoney （mBBM） equation, the time fractional mKdV equation and the nonlinear fractional Zoomeron equation which gives rise to some new exact solutions. The physical parameters in the soliton solutions： amplitude, inverse width, free parameters and velocity are obtained as functions of the dependent model coefficients. This method is suitable and more powerful for solving other kinds of nonlinear fractional PDEs arising in mathematical physics. Since the fractional deriva- tives are described in the modified Riemann-Liouville sense.

关键词： exact solutions ansatz method space-time fractional modified Benjamin-Bona-Mahoney equa-tion time fractional mKdV equation

Bound states resulting from interaction of the non-relativistic particles with the multiparameter potential

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Chinese Physics B 2017年第10期26卷 38-48页

作者： ahmet Tas Ali Havare Mersin University Department of Physics

In this study, we present the analytical solutions of bound states for the Schrodinger equation with the mulfiparameter potential containing the different types of physical potentials via the asymptotic iteration method by applying the Pekeristype approximation to the centrifugal potential. For any n and l （states） quantum numbers, we derive the relation that gives the energy eigenvalues for the bound states numerically and the corresponding normalized eigenfunctions. We also plot some graphics in order to investigate effects of the multiparameter potential parameters on the energy eigenvalues. Furthermore, we compare our results with the ones obtained in previous works and it is seen that our numerical results are in good agreement with the literature.

关键词： multiparameter potential Schrodinger equation bound states asymptotic iteration method

Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm

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CSEE Journal of Power and Energy Systems 2022年第4期8卷 1145-1156页

作者： Levent Yavuz ahmet Soran ahmetÖnen Xiangjun Li S.M.Muyeen Electrical and Computer Engineering Department in Abdullah Gül University Kayseri 38080Turkey Department of Electrical and Computer Engineering College of EngineeringSultan Qaboos UniversityAl-KhoudMuscat123Oman Department of Electrical Engineering Qatar UniversityDoha 2713Qatar State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Rescarch InstituteBeijing 100192China

This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditional machine learning(ML)algorithms or hybrid signal processing techniques,a new framework based on an optimization enabled weighted ensemble method is developed that combines essential ML *** the proposed method,the system will select and compound appropriate ML algorithms based on Particle Swarm Optimization(PSO)*** this purpose,power system failures are simulated by using the PSCA D-Python *** of the salient features of this study is that the proposed solution works on real-time raw data without using any pre-computational techniques or pre-stored ***,the proposed technique will be able to work on different systems,topologies,or data *** proposed fault detection technique is validated by using PSCAD-Python co-simulation on a modified and standard IEEE-14 and standard IEEE-39 bus considering network faults which are difficult to detect.

关键词： Decision tree(DT) ensemble machine learning algorithm fault detection islanding operation k-Nearest Neighbor(kNN) linear discriminant analysis(LDA) logistic regression(LR) Naive Bayes(NB) self-healing algorithm

Comparative evaluation of different statistical tools for the prediction of uniaxial compressive strength of rocks

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International Journal of Mining Science and Technology 2020年第6期30卷 785-797页

作者： ahmet Teymen Engin Cemal Mengüç Department of Mining Engineering Nigde Ömer Halisdemir University51240 NigdeTurkey Department of Electrical and Electronics Engineering Nigde Ömer Halisdemir University51240 NigdeTurkey

In this study,uniaxial compressive strength(UCS),unit weight(UW),Brazilian tensile strength(BTS),Schmidt hardness(SHH),Shore hardness(SSH),point load index(Is50)and P-wave velocity(Vp)properties were *** predict the UCS,simple regression(SRA),multiple regression(MRA),artificial neural network(ANN),adaptive neuro-fuzzy inference system(ANFIS)and genetic expression programming(GEP)have been *** obtained UCS values were compared with the actual UCS values with the help of various *** were modeled using different methods and compared with each *** the study where the performance indice PIat was used to determine the best performing method,MRA method is the most successful method with a small *** is concluded that the mean PIat equal to 2.46 for testing dataset suggests the superiority of the MRA,while these values are 2.44,2.33,and 2.22 for GEP,ANFIS,and ANN techniques,*** results pointed out that the MRA can be used for predicting UCS of rocks with higher capacity in comparison with *** to the performance index assessment,the weakest model among the nine model is P7,while the most successful models are P2,P9,and P8,respectively.

关键词： Uniaxial compressive strength Adaptive neuro-fuzzy inference system Multiple regression Artificial neural network Genetic expression programming

A Hyperparameter Optimization for Galaxy Classification

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Computers, Materials & Continua 2023年第2期74卷 4587-4600页

作者： Fatih ahmet Senel Süleyman Demirel University Engineering FacultyDepartment of Computer EngineeringIspartaTurkey

In this study,the morphological galaxy classification process was carried out with a hybrid *** the Galaxy classification process may contain detailed information about the universe’s formation,it remains the current research *** divided more than 100 billion galaxies into ten different *** is not always possible to understand which class the galaxy types ***,Artificial Intelligence(AI)can be used for successful *** are studies on the automatic classification of galaxies into a small number of *** the number of classes increases,the success of the used methods *** on the literature,the classification using Convolutional Neural Network(CNN)is *** metaheuristic algorithms are used to obtain the optimum architecture of *** are Grey Wolf Optimizer(GWO),Particle Swarm Optimization(PSO)and Artificial Bee Colony(ABC)algorithms.A CNN architecture with nine hidden layers and two full connected layers was *** number of neurons in the hidden layers and the fully connected layers,the learning coefficient and the batch size values were *** classification accuracy of my model was 85%.The best results were obtained *** optimization of CNN is *** was carried out with the help of the GWO meta-heuristic algorithm.

关键词： Astronomy classification convolution neural network galaxy grey wolf optimizer

Applications of the first integral method to nonlinear evolution equations

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Chinese Physics B 2010年第8期19卷 24-27页

作者： Filiz Tascan ahmet Bekir Eskisehir Osmangazi University Art-Science FacultyDepartment of MathematicsEskisehir-TüRKIYE

In this paper, we establish travelling wave solutions for some nonlinear evolution equations. The first integral method is used to construct the travelling wave solutions of the modified Benjamin-Bona-Mahony and the coupled Klein-Gordon equations. The obtained results include periodic and solitary wave solutions. The first integral method presents a wider applicability to handling nonlinear wave equations.

关键词： travelling wave solutions first integral method modified Benjamin-Bona-Mahony equa- tion coupled Klein-Gordon equation