bluuebunny/crossref_metadata_2025 huggingface dataset:
Controlling Chaos by an Improved Estimation of Distribution Algorithm
Authors: Huang Xingli , Jia Peifa , Liu Bo
Published: June 2016

Control and synchronization of chaotic systems are important issues in nonlinear sciences. This paper proposes an effective estimation of distribution algorithm (EDA)-based memetic algorithm (MA) to direct the orbits of discrete chaotic dynamical systems as well as to synchronize chaotic systems, which could be formulated as complex multi-modal numerical optimization problems. In EDA-based MA (EDAMA), both EDA-based searching operators and simulated annealing (SA)–based local searching operators are designed to balance the exploration and exploitation abilities. On the other hand, global information provided by EDA is combined with local information from SA to create better solutions. In particular, to enrich the searching behaviors and to avoid premature convergence, SA-based local search is designed and incorporated into EDAMA. To balance the exploration and exploitation abilities, after the standard EDA-based searching operation, SA-based local search is probabilistically applied to some good solutions selected by using a roulette wheel mechanism with a specified probability. Numerical simulations based on Hénon Map demonstrate the effectiveness and efficiency of EDAMA, and the effects of some parameters are investigated as well.
Correlation Properties of Chaos: Cumulant Approach
Authors: Kontorovich V. , Lovtchikova Z. , Ramos-Alarcon F.
Published: June 2016

The current trend in the statistical analysis of chaos shows certain gaps particularly regarding the engineering applications. This paper, which is a sequel of previous publications from the authors [1-5], develops an application of the cumulant approach to the analysis of the covariance properties of chaotic signals. A general approach for the analysis of two-moment cumulants is considered, particular emphasis is made in the covariance function and the third order cumulant behavior. The cumulant functions of the Lorenz and Chua strange attractors are considered as examples.
Fractional Complex Transform for Fractional Differential Equations
Authors: Li Zheng-Biao , He Ji-Huan
Published: June 2016

Fractional complex transform is proposed to convert fractional differential equations into ordinary differential equations, so that all analytical methods devoted to advanced calculus can be easily applied to fractional calculus. Two examples are given.
A Mineral Classification System with Multiple Artificial Neural Network Using K-Fold Cross Validation
Authors: Baykan Nurdan , Yılmaz Nihat
Published: June 2016

The aim of this study is to show the artificial neural network (ANN) on classification of mineral based on color values of pixels. Twenty two images were taken from the thin sections using a digital camera mounted on the microscope and transmitted to a computer. Images, under both plane-polarized and cross-polarized light, contain maximum intensity. To select training and test data, 5-fold-cross validation method was involved and multi layer perceptron neural network (MLPNN) with one hidden layer was employed for classification. The classification of mineral using ANN proved %93.86 accuracy for 400 data. In second study, for each of the 5 different mineral considered, 5 different network models were implemented. Size of data set was same with previous data. Each network model was differed from each other. Also 5-fold-cross validation method was involved to select data and MLPNN with one hidden layer was used. The classification accuracy of mineral using different ANN is %90.67; %96.16; %93.91; %92; %97.62 for quartz, muscovite, biotite, chlorite and opaque respectively.
Sensor Fault Detection and Diagnosis of a Process Using Unknown Input Observer
Authors: Zarei Jafar , Poshtan Javad
Published: June 2016

In this paper, a robust sensor fault detection and isolation (FDI) method based on the unknown input observer (UIO) approach is presented. The basic principle of unknown input observers is to decouple disturbances from the state estimation error. A single full-order observer is designed to detect sensor faults in the presence of unknown inputs (disturbances). By doing so, we generate a residual, a weighted output of the state estimation error, decoupled from disturbances. The resulting robust (in the sense of disturbances) residual can be used for fault detection. Although this scheme has successful fault detection, using one observer is not successful in fault isolation. Therefore, a robust sensor fault isolation observer scheme is proposed. In order to evaluate its ability, the presented method is adopted to detect and isolate sensor faults of a highly nonlinear dynamic system. The faulty behavior of output sensors in a jacketed continuous stirred tank reactor (CSTR), around operating point, is investigated. Simulation results show that model uncertainties and disturbances can be distinguished from a response to a sensor fault.
Entropy in Dichotic Listening EEEG Recordings
Authors: Vahaplar Alper , Çelikoğlu C. , Özgören Murat
Published: June 2016

The dichotic listening (DL) paradigm has an important role in brain asymmetry studies at the behavioral level. In dichotic listening, the subjects are alerted by diotic or dichotic stimuli which are meaningless, consonant vowel syllables on both ears. The subjects then presented the syllable they heard through a 6 button keypad. During this procedure, the EEG signals of the subjects were recorded by a 64 channel cap. Entropy is a measure of complexity or disorder in a signal. In other words, it is a measure of uncertainty of information in a statistical description of a system. The Shannon entropy gives a useful criterion for analyzing and comparing probability distribution, it provides a measure of the information of any distribution. In this study, the EEG recordings are examined by their entropy values. Different entropy measures are compared for different time intervals. EEG data and dichotic listening paradigm are evaluated in terms of entropy changes. The effects of ear advantage and auditory stimuli are investigated on entropy.
An Experimental and Numerical Study on the Effects of Taper Angles and Overlap Length on the Failure and Stress Distribution of Adhesively-Bonded Single-Lap Joints
Authors: Solmaz Murat , Turgut Aydın
Published: June 2016

This paper examines the failures and strengths of joints bonded by a Neoxil CE92 N8 adhesive at different overlap lengths and different taper angles. The study was carried out both as experimental and numerical. In the experimental stage, lap-shear tests on Single-Lap Joints (SLJs) with different taper angles and overlap lengths were conducted. The stress analyses in the SLJs were obtained using a linear Finite Element Analysis (FEA) in numerical stage. It is assumed that adhesive and adherend have both geometrical nonlinearity and linear material behaviour. Scrutinising carefully the surfaces of the SLJs, two different failure types, cohesive failures (CF) and special cohesive failures (SCF) were observed. The obtained numerical results were compared with experimental ones. Results indicate that the increasing of both overlap length and taper angle increase the joint strength and, in particular, the highest strength values in all joint geometries are attained by specimens having a taper angle of 15°.
Dynamic Response of a Beam Due to an Accelerating Moving Mass Using Moving Finite Element Approximation
Authors: Esen İsmail
Published: June 2016

In this study, the dynamic behaviour of a beam carrying accelerating mass is investigated. A MATLAB code was developed for numerical solutions. The accelerating moving mass that is travelling on the beam was modelled as a moving finite element in order to include inertial effects beside gravitation force of mass. Since the mass moves along the deflected curve of the beam, these effects are, respectively, the centripetal force, the inertia force, and the Coriolis force components of the moving mass. The effect of longitudinal force due to acceleration of the moving mass is also included. Dynamic response of the beam was obtained depending on the mass ratio (mass of the load / the mass of the beam) and the acceleration of the mass. Numerical results show the effectiveness of the method.
Stress Analysis in Al Based Composites Depending on Joining Quality
Authors: Köksal N. , Alkan Mehmet
Published: June 2016

It is essential that joints in the design of aluminium based materials be safe and at the desired strength. Specific methods are to be used in welding of these materials. Brazing, that assures joining without changing the material properties, is widely used for this purpose. In this method, quality joining can be achieved, provided the parameters are set up accurately. In this study, joining characteristics of aluminium based composite materials widely used in automotive industry are investigated in detail. Solid models of the parts manufactured by brazing are created using Solidworks software. Hydrostatic loading similar to the real working conditions is applied to these models and stress analysis is performed using ANSYS software. In the samples, joining regions are 2 mm and 2,83 mm in length; and stress distributions are investigated in three groups assuming full, 70% and 50% joining. Stresses arising from loading in the model are below the damage inducing level, but the shape and the length of the joining region are observed to be significant in stress development.
Non-Linear Transverse Vibrations and 3:1 Internal Resonances of a Tensioned Beam on Multiple Supports
Authors: Bağdatlı S.Murat , Öz H. , Özkaya Erdoğan
Published: June 2016

In this study, nonlinear transverse vibrations of a tensioned Euler-Bernoulli beam resting on multiple supports are investigated. The immovable end conditions due to simple supports cause stretching of neutral axis and introduce cubic nonlinearity to the equations of motion. Forcing and damping effects are included in the analysis. The general arbitrary number of support case is investigated and 3, 4, and 5 support cases analyzed in detail. A perturbation technique (the method of multiple scales) is applied to the equations of motion to obtain approximate analytical solutions. 3:1 internal resonance case is also considered. Natural frequencies and mode shapes for the linear problem are found for the tensioned beam. Nonlinear frequencies are calculated; amplitude and phase modulation figures are presented for different forcing and damping cases. Frequency-response and force-response curves are drawn. Different internal resonance cases between modes are investigated.
Elasto-Plastic Stress Analysis in Silicon Carbide Fiber Reinforced Magnesium Metal Matrix Composite with a Square Hole
Authors: Okumuş Fuat
Published: June 2016

In the present study an elastic-plastic stress analysis is carried out for long silicon carbide fiber reinforced magnesium metal matrix composite with a square hole by using finite element technique. Composite material is manufactured by using molds under a pressure of 35 MPa and heating up to 550 0C by electrical resistance. The laminated plates with square hole consist of four layers and bonded symmetrically. Each layer with constant thickness is meshed into 48 elements and 228 nodes with simply supported. The expansion of plastic zone and residual stress are determined in the symmetric cross-ply and angle-ply laminated plates for small deformations. The load is increased by 0.01 MPa at each step . Iteration numbers are chosen as 150, 300 and 600. The resılts show that the intensity of the residual stresses is maximum near the open square hole and the yield points in symmetric laminates are higher than those in antisymmetric laminates.The plastic regions at the plate edges expand in the direction of the fiber, but at the border of the hole expand toward the diagonal of the hole.
Studies on Fuzzy Logic Control of Electrical Machines in Turkish Universities: An Overview
Authors: Kentli Aykut
Published: June 2016

This study mainly surveys the PhD and Master Theses on fuzzy logic control in Turkey. It is beneficial for researchers to know the previous studies on their subject, in an organized way. From this point of view, it is expected that this study will help the researchers on fuzzy logic control as there is no similar study on this area. In this study, background information on fuzzy logic is given, and applications on electrical machines are summarized and compared. Lastly, future recommendations are given for new researchers.
Multiple Time Scales Solution of an Equation with Quadratic and Cubic Nonlinearities Having Fractional- Order Derivative
Authors: Dal Fadime
Published: June 2016

Nonlinear vibrations of quadratic and cubic system are considered. The equation of motion includes fractional order term. Multiple time scales (a perturbation method) solution of the system is developed. Effect of fractional order derivative term is discussed.
Experimental and Comparative Study of Different Fibers on the Strength and Failure of Quasi-Isotropic Plastic Composite with a Hole
Authors: Okumuş Fuat
Published: June 2016

In the present study, the effects of different types of fibers on the strength and failure Mechanism of quasi-isotropic silicon carbide/epoxy composite laminate with reinforced hole has been carried out experimentally. The composite panels under compression loadings have been investigated In order to verify the experimental results were compared with the finite element method. A rectangular element with nine nodes has been chosen. Composite plate is meshed into 64 elements and 288 nodes with simply supported and in-plane loading conditions. Two types of reinforcement boundary conditions were investigated; adhesive bonded and snug-fit unbounded plug. For each case, five different sizes of hole diameter were used. And also three different types of reinforcing material (steel, aluminum and Eglass) were employed.
Continuous Dependence for the Damped Nonlinear Hyperbolic Equation
Authors: Yaman Metin , Gür Şevket
Published: June 2016

This paper gives the continuous dependence of solutions for the damped nonlinear hyperbolic equation.
Search on Results of Ibm for Region between 120 ≤ A ≤ 150: 120-128Te and 122-134 Xe Nuclei
Authors: Turkan Nureddin , Maras Ismail
Published: June 2016

In this work, the energy levels and transition probabilities B(E2) of some even-even Te (Z=52, N=68-80 and N=84) and even-even Xe nuclei (Z=54, N=68-80 and N=84-88) have been investigated by using the interacting boson model (IBM-1 and IBM-2). The results were compared with some previous experimental and theoretical values. It was seen that an acceptable degree of agreement between the predictions of the model (IBM-1 and IBM-2) and the experiment is achieved.
Differential Quadrature Solution for One-Dimensional Aquifer Flow
Authors: Kaya Birol , Arisoy Yalcin
Published: June 2016

Differential Quadrature Method (DQM) has been applied to the solution of aquifer flow problems. Three examples from of each of the three one-dimensional aquifer flow equation problems, a confined aquifer flow with time dependent boundary conditions, a composite confined aquifer and an unconfined aquifer with seepage, were examined. The results of DQM solution were then compared with the results obtained from analytical solution, the Explicit Finite Differences Method and Implicit Finite Differences Method. Based on the comparison results, it was concluded that the DQM provides similar results but with relatively faster calculation speed, less nodes and memory usage.
Investigation of Geometric and Material Effects on Critical Load of Thermoplastic-Matrix Composite Plates with a Square Hole under In-Plane Loadings
Authors: Okumuş Fuat
Published: June 2016

In this study, an investigation of buckling analysis which includes geometric and material effects on critical load of thermoplastic-matrix composite plates with square hole is carried out by using finite element method (FEM). A finite element computer program is developed for finding critical loads. The composite plates ([00/ 00]2) under transverse loading are formed by stacking four composite layers bonded symmetrically or antisymmetrically. Each layer with constant thickness is meshed into 48 elements and 228 nodes.The first-order shear deformation theory is employed in mathematical formulation. the effects on critical load by ply lamination geometry, plate thickness ratio, loading types, hole size, and material modulus ratio have been investigated. Numerical solutions are given in graphical forms.
Free Vibration Analysis of Beams on Variable Winkler Elastic Foundation by Using the Differential Transform Method
Authors: Kacar Alev , Tan H. , Kaya Metin
Published: June 2016

In this study, free vibration of an Euler-Bernoulli beam resting on a variable Winkler foundation is considered. Structures which are supported along their length such as beams or pipelines resting on elastic soil are very commonly modeled with a Winkler foundation. In this problem, the elastic coefficient of the foundation is variable along the beam major axis. Constant, linear and parabolic variations are considered. The problem is handled for three different boundary conditions: simply supported-simply supported, clamped-clamped and cantilever (clamped-free) beams. The governing differential equations of the beam are solved by using Differential Transform Method (DTM). DTM is an easy transformation technique based on Taylor expansion series, providing high accuracy.
Energy Efficient Target Tracking with Particle Filtering Techmique in Wireless Sensor Networks
Authors: Alaybeyoglu Aysegul
Published: June 2016

In this study, a new target tracking algorithm is proposed for wireless sensor networks. The aim of the algorithm is to decrease energy consumption of the system by decreasing the ratio of target misses. Next location of the target is predicted by using Particle Filtering (PF) technique which aims to represent the posterior density function by a set of random samples with associated weights. Nodes are deployed according to the hexagon shaped network topology in which each of the hexagons represents a cluster with a predetermined leader node. In order to decrease the ratio of target misses, nodes that are closer to the target's predicted location are woken up to make them ready to detect the target. This increases the probability of detecting the target by one of the neighboring hexagons when the target makes sudden turns or unexpected movements. Tracking performance of the proposed algorithm is evaluated by comparing with KNearest Cluster Tracking (KNCT), Wakening Based Target Tracking Algorithm (WBTA)[10] and Generic Static Tracking Approach (GSTA) in terms of miss ratio and energy consumption metrics.
Strengthening of RC Beams with Prefabricated RC Rectangular Cross-Sectional Plates
Authors: Tekin M. , Demir A. , Turalı T. , Nohutçu H. , Bağcı M.
Published: June 2016

The topic of this study is to strengthen cracked beams with prefabricated RC rectangular cross-sectional plates. The damaged beams were repaired by epoxy based glue. The repaired beams were strengthened using prefabricated RC rectangular crosssectional plates. The strengthening plates were bonded to the bottom face of the beams by anchorage rods and epoxy. The strengthened beams were incrementally loaded up to maximum load capacities. The experimental results were satisfactory since the load carrying capacities of damaged beams were increased approximately 47% due to strengthening. The post-elastic strength enhancement and the displacement ductility of all the beams are researched during the experiments. The experimental program was supported by a three-dimensional nonlinear finite element analysis. The experimental results were compared with the results obtained from the beam modeled with ANSYS finite element program.
A New Perturbation-Iteration Approach for First Order Differential Equations
Authors: Pakdemirli Mehmet , Aksoy Yiğit , Boyacı Hakan
Published: June 2016

Two new perturbation-iteration algorithms for solving differential equations of first order are proposed. Variants of the algorithm are developed depending on the differential order of Taylor series expansions. The iteration algorithms are tested on a number of first order equations. Much better solutions than the regular perturbation solutions are achieved.
On the Application of New Convergence Criteria for Kantorovich Method to Nonlinear Singular Integral Equation with Shift
Authors: Allan Mohamed , Dardery Smah
Published: June 2016

The paper is concerned with the applicability of some new conditions for the convergence of Newton–kantorovich approximations to solution of nonlinear singular integral equation with shift of Uryson type. The results are illustrated in generalized Holder space.
Nonlinear Finite Element Analysis of an R/C Frame Under Lateral Loading
Authors: Dere Yunus , Dede Fatma
Published: June 2016

Recent developments in computer technology have made possible the use of finite element methods for 3D modeling and analysis of reinforced concrete structures. In this study, the failure behavior and crack formation of an R/C frame under monotonic and reversed-cyclic lateral loading are studied by 3D nonlinear finite element analysis using ANSYS software. Modeling the nonlinear behavior of concrete material as well as the reinforcing steel embedded within concrete is a difficult task. Different methodologies and modeling options are considered in the computer model. The application of reversed cyclic displacement loading and the execution of nonlinear analyses are explained in detail. Load-displacement relationships and concrete crack profiles are obtained in order to compare with the experimental data and observed crack profile. The analysis results compared well with the experimental data based on the comparison of load-displacement graphs. The failure mode of the frame is identified by the crack profiles displayed on the structure.
Computation Approaches for Parameter Estimation of Weibull Distribution
Authors: Chu Yunn-Kuang , Ke Jau-Chuan
Published: June 2016

This paper examines the estimation comparison of two methods for Weibull parameters, one is the maximum likelihood method and the other is the least squares method. A numerical simulation study is carried out to understand performance of the two methods. Based on sample root mean square errors, we make a comparison between the two computation approaches. We find that the least squares method significantly outperforms the maximum likelihood when the sample size is small.
On the Stability of Delay Population Dynamics Related with Allee Effects
Authors: Gumus O. A. , Kose H.
Published: June 2016

In recent years, many scientists have focus on the studies of the Allee effect in population dynamics. This paper presents the stability analysis of equilibrium points of population dynamics with Allee effect which occurs at low population density.
Vibration Analysis of Rotor Blades of a Farm Wind-Power Plant
Authors: Gürsel K. , Çoban Tufan , Özdamar Aydogan
Published: June 2016

In wind-power plants like in all engineering structures, vibrations are taken into consideration in design phases in order to avoid resonance. This condition occurs when the frequency of the exciting force coincides with one of the natural frequencies of system, which causes dangerously large amplitudes. In the present study, natural frequencies of the Rotor blades of NACA (National Advisory Committee for Aeronautics) 4415 and NASA/Langley LS(1) 421MOD series of wind-power plants that deliver energy to be consumed by a farm family with four persons are calculated. Therefore, after designing the rotors, their natural frequencies are determined first by Rayleigh’s Method and next by finite element method. Further for both rotor blades, resonance analysis is carried out by the found excitation of external forces.
Solution of the System of Ordinary Differential Equations by Combined Laplace Transform–Adomian Decomposition Method
Authors: Doğan Nurettin
Published: June 2016

In this paper, combined Laplace transform–Adomian decomposition method is presented to solve differential equations systems. Theoretical considerations are being discussed. Some examples are presented to show the ability of the method for linear and non-linear systems of differential equations. The results obtained are in good agreement with the exact solution and Runge-Kutta method.
A Suggestion for Constructing a Bayesian Network Model with Simple Correlation and an Appropriate Regression Analysis: A Real Medical Diagnosis Application
Authors: Erpolat Semra
Published: June 2016

The major task of medical science is to prevent or diagnose disease. Medical diagnosis is usually made by using some blood metrics and in addition, to be able to reach better results, one can benefit from different scientific methods. In this paper a Bayesian network method is proposed. This method is a hybrid that uses simple correlation and according to dependent variable type either simple linear regression or logistic regression for constructing a Bayesian topology. The Bayesian network is a method for representing probabilistic relationships between variables associated with an outcome of interest. To develop a Bayesian network, a structure must first be constructed. To build the topology of the Bayesian network, some alternative method can be used. One is using domain experts who usually have a good grasp of the conditional dependencies in the domain to develop the structure of the Bayesian network. Another is using structure learning algorithms, such as genetic algorithms, to construct the network topology from training data. In this paper a different construction method is proposed by using correlation analysis and one of the simple linear regression or logistic regression analyses. First, correlations of the examined variables are found. Then according to the significant correlation coefficients, the degree and direction of the interactions between these variables are established by using either simple linear regression or logistic regression. Finally the Bayesian network model is constructed by using this information. For evaluating our model, another model which does not have any relation between the input variables is also constructed. And these two models are compared by using an original thyroid data set. It is concluded that our proposed model provides a high degree of performance and good explanatory power and it may prove useful for clinicians in the medical field.
Vibration Characteristics Analysis of the Rub- Impact Rotor System with Mass Unbalance
Authors: Jia Jiu-Hong , Hang Tian-Qi
Published: June 2016

In this paper, vibration characteristics of a rub-impact Jeffcott rotor system excited by mass unbalance including the eccentric mass and the initial permanent deflection are investigated. Through the numerical calculation, rotating speeds, mass eccentricities, initial permanent deflections and phase angles between the eccentric mass direction and the rotor initial permanent deflection direction are used as control parameters to investigate their effect on the rub-impact rotor system with the help of bifurcation diagrams, Poincare maps, frequency spectrums and orbit maps. Result shows that these two kinds of mass unbalance have great but different effect on the dynamic characteristic of the rubbing rotor system. Different motion characteristics appear with the varying of these control parameters, and complicated motions such as periodic and quasi-periodic vibrations are observed. Corresponding results can be used to diagnose the rub-impact fault and decrease the effect of rub impact in the rotor system with mass unbalance.
Soft Computing Methods in Bioinformatics: A Comprehensive Review
Authors: KARLIK Bekir
Published: June 2016

Applications of genomic and proteomic, epigenetic, pharmacogenomics, and systems biology have shown increased a lot, resulting in an explosion in the amount of highly dimensional and complicated data being generated. The data of bioinformatics fields are always with high-dimension and small samples. Genome-wide investigations generate in large numbers of data and there is a need for soft computing methods (SCMs) such as artificial neural networks, fuzzy systems, evolutionary algorithms, metaheuristic and swarm intelligence algorithms, statistical model algorithms etc. that can deal with this amount of data. The use of soft computing methods has been increased to a variety of bioinformatics applications. It is used to inquire the underlying mechanisms and interactions between biological molecules in a lot of diseases, and it is a main tool in any biological (or biomarker) discovery process. The aim of this article is to introduce soft computing methods for bioinformatics. These methods present supervised or unsupervised classification, clustering and statistical or stochastic heuristics models for knowledge discovery. In this article, the current problems and the prospects of SCMs in the application of bioinformatics is also discussed.
Identities Associated with Generalized Stirling Type Numbers and Eulerian Type Polynomials
Authors: Simsek Yilmaz
Published: June 2016

By using the generating functions for the generalized Stirling type numbers, Eulerian type polynomials and numbers of higher order, we derive various functional equations and differential equations. By using these equation, we derive some relations and identities related to these numbers and polynomials. Furthermore, by applying p - adic Volkenborn integral to these polynomials, we also derive some new identities for the generalized λ-Stirling type numbers of the second kind, the generalized array type polynomials and the generalized Eulerian type polynomials.
Error Estimates for Differential Difference Schemes to Pseudo-Parabolic Initial-Boundary Value Problem with Delay
Authors: Okcu Pinar , Amiraliyev Gabil
Published: June 2016

We consider the one dimensional initial-boundary Sobolev problem with delay. For solving this problem numerically, we construct fourth order differential- difference scheme and obtain the error estimate for its solution. Further we use the appropriate Runge-Kutta method for the realization of our differential-difference problem.
Numerical Solution of the Multigroup Neutron Diffusion Equation by the Meshless RBF Collocation Method
Authors: Tanbay Tayfun , Ozgener Bilge
Published: June 2016

The multigroup neutron diffusion criticality problem is studied by the radial basis function collocation method. The multiquadric is chosen as the radial basis function. To investigate the effectiveness of the method, one, two and three-group problems are considered. It is found that the radial basis function collocation method produces highly accurate multiplication factors and it is also efficient in the calculation of group fluxes.
Novel Bracing Type Against Seismic Loading: KX Type
Authors: Kutuk M. , Gov Ibrahim
Published: June 2016

In this study, a new bracing system is proposed which is named as KX type. Element removal method is used to obtain this new bracing. KX type optimized bracing is compared with V, and K type bracings under seismic loading. Maximum deformation value is used as performance indicator to compare effectiveness of V, K, and proposed KX type bracings to resist seismic loads. The proposed KX type bracing, yielded 99.72%, 93% and 88% reduced deformation with respect to unbraced, K type, and V type bracings respectively.
Legendre Collocation Method for Solving Nonlinear Differential Equations
Authors: Güner Aysun , Yalçınbaş Salih
Published: June 2016

In this study, a matrix method based on Legendre collocation points on interval [-1,1] is proposed for the approximate solution of the some first order nonlinear ordinary differential equations with the mixed conditions in terms of Legendre polynomials. The method by means of Legendre collocation points, transforms the differential equation to a matrix equation which corresponds to a system of nonlinear algebraic equations with unknown Legendre coefficients. Also, the method can be used for solving Riccati equation. The numerical results show the effectuality of the method for this type of equations. Comparisons are made between the obtained solution and the exact solution.
Chance Constrained Data Envelopment Analysis for Efficiency Analysis: An Application to Turkish Manufacture of Iron and Steel Sector
Authors: Gedik Hakan , Bal Hasan , İzciler Mahmut
Published: June 2016

This study aims to determine the technical efficiency levels of the enterprises active in the “Manufacture of Basic Iron and Steel and of Ferro-Alloys” sector in Turkey. The inputs and outputs are deterministic in classical Data Envelopment Analysis, so the changes in exchange rate, inflation rate, etc. aren’t considered, and the precautions for future inconsistencies are not foreseen. This leads to critics of deterministic Data Envelopment Analysis models. In this paper, the additive model developed depending on the Banker, Charnes and Cooper (BCC) model was extended by chance constrained programming formulations in order to overcome the insufficiencies in deterministic Data Envelopment Analysis, and the technical analysis of “Manufacture of Basic Iron and Steel and of Ferro-Alloys” sector was performed.
A Proposal for a Distinction in Belief Functions I
Authors: Nebioğlu Mehmet , Çakar Tarık , Köker Raşit
Published: June 2016

This study proposes a distinction between the belief function and the credibility function in mind design – a section of artificial intelligence. We show the distinction between the credibility and belief measures first. Then we evaluate the possibility of these measures in case studies and consider the credibility and belief values of each case. This is a novel method for the evaluation of belief functions and it is shown that they satisfy the rules of current belief function axioms.
Comparative Study of Algorithms for Response Surface Optimization
Authors: Yeniay Özgür
Published: June 2016

Response Surface Methodology (RSM) is a method that uses a combination of statistical techniques and experimental design for modelling and optimization problems. Many researchers have studied the integration of heuristic methods and RSM in recent years. The purpose of this study is to compare two popular heuristic methods, namely Genetic Algorithms (GA) and Simulated Annealing (SA), with two commonly used gradient-based methods, namely Sequential Quadratic Programming (SQP) and Generalized Reduced Gradient (GRG), to obtain optimal conditions. Moreoever, real quadratic and cubic response surface models are selected from literature and used in this study. The comparison results indicate that the heuristic methods outperform the traditional methods on majority of the problems.
Analytical Solutions of Non-Linear Equations of Power-Law Fluids of Second Grade over an Infinite Porous Plate
Authors: Abbasbandy Saeid , Yürüsoy Muhammet , Güllüce Hüseyin
Published: June 2016

The flow of an incompressible fluid of modified second grade past an infinite porous plate subject to either suction or blowing at the plate is studied. The model is a combination of power-law and second grade fluid in which the fluid may exhibit normal stresses, shear thinning or shear thickening behaviors. Equations of motion in dimensionless form are derived. Analytical solutions of the outcoming non-linear differential equations are found by using the homotopy analysis method (HAM), which is a powerful semi-analytical method. Effects of power-law index and second grade coefficient on the boundary layers are shown and solutions are contrasted with the usual second grade fluid solutions.
Estimation of Mucus Clearance in Pulmonary Airways by Means of a Regression Model
Authors: Uulu Shahriar , Öz Halil , Karaca Ferhat , Evrensel Cahit
Published: June 2016

In this study, a multivariate regression analysis was performed on a dataset obtained from experimental tracheal model for mucus clearance in pulmonary airways. Several simulations have been done to verify the validity of the generated regression model. In general, the clearance of mucus in the airways is achieved by the beating action of cilia inside the serous layer which is the primary means of removing inhaled particulates and airway debris from airways in healthy people. In this study, two types of mucus simulants are used in the experimental setup. Clearance distances of a teardrop shape simulant are measured for different velocities, slope angles and surfaces properties. On the obtained data by applying several genuine transformations we developed a multiple regression model that is able to predict clearance up to 86% accuracy. Simulations revealed several important data like direct relation between velocity and clearance and indirect relation between angle and clearance.
Approximate Solutions for Coupled Systems of Nonlinear PDEs Using the Reduced Differential Transform Method
Authors: Rawashdeh Mahmoud
Published: June 2016

In this paper, we are concerned with finding approximate solutions to systems of nonlinear PDEs using the Reduced Differential Transform Method (RDTM). We examine this method to obtain approximate numerical solutions for two different types of systems of nonlinear partial differential equations, such as the two- component KdV evolutionary system of order two and the Broer-Kaup (BK) system of equations. The theoretical analysis of the RDTM is investigated for these systems of equations and is calculated in the form of power series with easily computable terms. Illustrative examples will be presented to support the proposed analysis.
Analysis of an M (λ1,λ2) / M /1 / WV Queue with Controlled Vacation Interruption and Variable Arrival Rate
Authors: Wu Wenqing , Tang Yinghui
Published: June 2016

This paper studies a Markovian queue with multiple working vacations and controlled vacation interruption. If there are at least N customers waiting upon completion of a service at a lower rate, the vacation is interrupted and the server returns to the system to resume the normal working level. Otherwise, the server continues the vacation until the system is non-empty after a vacation ends or there are at least N customers after a service ends. Moreover, the variable arrival rate of the customers is taken into account. Under such assumptions, by using the quasi-birth-and-death process, the matrix- geometric method and the difference equation theory, the steady-state queue length distribution along with various performance measures are derived. Additionally, under a certain cost structure, the optimal threshold N* that minimizes the long-run expected cost function per unit time is numerically determined.
Multiple Attribute Decision-Making Model of Grey Target Based on Positive and Negative Bull's-Eye
Authors: Fu Sha
Published: June 2016

Aiming at complexity and uncertainty of actual decision-making environment, this study proposes a multiple attribute decision-making model of grey target based on positive and negative bull’s-eye. Firstly, it defines that the optimal effect vector and the worst effect vector of grey target decision are respectively positive, negative bull’s-eye of the grey target; secondly, comprehensively considering the space projection distance between various schemes and the positive and negative bull’s-eye, it takes bull’s-eye distance as the basis for space analysis and obtains a new integrated bull’s-eye distance; then, in accordance with the comprehensive guidelines to minimize the bull’s-eye distance, it constructs goal programming model for goal function, and thus solves the index weight. Finally, through case studies of selective purchase of information system, it verifies feasibility and effectiveness of the proposed grey target decision-making model.
Application of the Hall-Petch Relation to Microhardness Measurement on AA 1030, Cu, CuSn7, CuZn30 and 6114 Alloys
Authors: Meriç Cevdet , Atik Enver , Engez Turgut
Published: June 2016

In this experimental study, the strip formed specimens made from aluminum alloy 1030, pure Cu, CuSn7, CuZn30 and low carbon steel 6114 were cold worked to different ratios. To be able to determine the microhardness values of the materials, the microhardness tests were applied. Grain sizes of the materials were determined by the Heyn method using metal microscope. The hardness of materials H, is dependent on the grain diameter, d, in a similar way as in the flow stress in the Hall-Petch relation: H=H0+KHd-1/2 where H0 and KH are constants. The microhardness of the materials is found to vary with the grain size according to the Hall-Petch equation with reasonable accuracy.
A Generalized Approach to Coupled Nonlinear Vibrations of Continuous Systems
Authors: Pakdemirli M. , Boyacı H.
Published: June 2016

A mathematical model covering many practical vibration problems of continuous systems has been proposed. The equations of motion consist of two nonlinearly coupled partial differential equations. The quadratic and cubic nonlinearities as well as the linear part of the equations are represented by arbitrary operators. A perturbation approach (method of multiple time scales) has been applied directly to the partial differential equations. The responses as well as the amplitude and phase modulation equations are found for the case of primary resonances of the external excitation and one-to-one internal resonances between the natural frequencies of the equations. The coefficients of the amplitude and phase modulation equations are calculated in their most general form. Results are then applied to a nonlinear cable vibration problem having small sag-to span ratios.
On F-Monotone Operators and Generalized Strongly Nonlinear Variational Inequalities
Authors: Ganguly Ashok , Wadhwa Kamal
Published: June 2016

In this paper we develop the existence theory of generalized strongly nonlinear variational inequality problem involving F-monotone operator in the setting of reflexive Banach spaces and Hausdorff topological vector spaces separately. Our results include Dugundji’s and Granas’s variational inequality in reflexive Banach spaces and Tan’s variational inequality in topological vector spaces. respectively.
An Object Oriented Approach to Semidefinite Programming
Authors: Ge Yuzhen , Watson Layne , Collins Emmanuel
Published: June 2016

An object-oriented design and implementation of a primal-dual algorithm for solving the semidefinite programming problem is pn~sented. The advantages of applying the object-oriented methodology to numerical computations, in particular to an interior point algorithm for semidefinite programming, or for solving other types of linear matrix inequalities are discussed. One object-oriented design of the primal-dual algorithm and its implementation using C++ is presented. The performance of the C++ implementation is compared with that of a procedural C implementation, and while the performance of the C++ implementation is comparable to that of the C implementation, the resulting code is easier to read, modify, and maintain.
Analysis of Unsteady Flow in Complex Pipe System by the Method of Characteristics
Authors: Tezcan Tekin , Gökkuş Ümit , Sınır Gültekin
Published: June 2016

This study aims at the uusteady now analysis of complex pipe system by lIsing the method of characteristics. Excess demand and sudden closure and opening of devices such as valves and pumps causes the occurrence of uusteady now. Hydraulic analysis of pipe system is still performed only by steady-state now. The unsteady now analysis can be done by using the results of this analysis.
The Tangent Conoids Family Which Depends on the Ruled Surface
Authors: Özyılmaz E.
Published: June 2016

In this study, a new congruence[A••] has been definedby putting a tangent right conoid on each line of a ruled surface (A1(s)) of a line congruence [A]. Then, by considering special case of the congruence [A••] which has been defined in the previous part, the concepts of tangent congruence, drall and the relation among Blaschke vectors of Blaschke trihedrons, having common line Ao has been examined for this special case. At the end of this study, the concept of tangent congruence for some special congruences has been examined.
Stres Analysis around Dental Implant in Human Mandible
Authors: Zor Mehmet , Aksoy Sami
Published: June 2016

The stresses around the hole of an implant located in the anterior of a human mandible have been analyzed by using the Finite Elements Method. Three different models, each of which consists of different regions of mandible have been examined. In addition, variations between the implant and apical and coronal sections in different bone tissue have been "included in this study. Sixteen different variations have been obtained. As a result, it has been observed that implants with straight abutments provide safer results than ones with angled abutments. Since the strength values of spongy bone are much lower than those of cortical bone, the stresses can exceed the strength limits in the cases where coronal upper section consist of spongy bone or in the cases where the cortical bone in the upper surface is very thin. So implants with straight abutments should be preferred, particularly in these cases.
Evaluation of Certain Class of Eulerian Integrals of the Multivariable H-Function
Authors: Shrivastava H.S.P.
Published: June 2016

the present paper we evaluate a number of key Eulerian integrals involving the H- function of several complex variables. Our general Eulerian integral formulas are shown to provide the key formulae from which numerous other potentially useful results for various families of generalized hypergeometric functions of several variables can be derived. Few particular cases are also considered.
Reference Points in Magnetic Measurements
Authors: Demirtaş Ömer , Mirzababayev Rauf
Published: June 2016

It is widely assumed that the magnetic phase transition temperatures have constant values. Application of the formalism of the high accuracy spectroscopic method shows that the Curie points used for the calibration processes in magnetic measurements are not uniquely defined, butt are related to the time scale of the measuring method.
Some Results on a Stochastic Process with a Discrete Chance Interference
Authors: Khaniev T.
Published: June 2016

In this study, some problems connected with stochastic process with a discrete chance interference X(t) are investigated. In particular, one-dimensional distribution functions of the process are obtained and under some weak assumptions, the ergodic theorem for this process is given. As a result, the explicit form of ergodic distribution function is derived. Moreover, the double transform of distribution function of additive functional of the process X(t) is derived. Furthermore, asymptotic behaviour of the additive functional is investigated as t→∞. Based on these results characteristic function of ergodic distribution of the process X(t) is obtained by using a joint distribution of random variables N and SN. In addition, the first and second moments of ergodic distribution of X(t) are expressed in terms of the moments of random variable N.
An Approach to the Support of the Fault-Tolerance of the Double Redundant Computer Control Systems
Authors: Samedov Rafig
Published: June 2016

Faults in computer control systems cause great economic losses and endanger human beings. In order to ensure control and monitoring tasks, the availability and safety of computer control systems in areas such as military, manufacturing plants, traffic, public health service, environment protection, banking and assurances have to be improved. The fault-tolerance of the computer control system is achieved by using the hardware and software redundancy and redundancy of processor time. In this paper, the structure of real time double redundant computer control system is updated. The highly efficient methods and device are designed for supporting of the fault-tolerance of the double redundant computer control system by using the hardware redundancy. The fault-tolerant system software enables identical application programs to work parallel on two reserved computers. The computational process executed in a computer control system is periodically interrupted at checkpoints by execution of the fault-tolerant procedure, which recognizes and eliminates the faulty computers. The recovery of computer control system is automatically without interruption of the control services.
An Effective Algorithm for Euler System in a Class of Discontinuous Functions
Authors: Rasulov M. , Coşkun E.
Published: June 2016

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