bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation of Dilatometer Tests by Neural Networks
Authors: Göktepe A.Burak , Altun Selim , Sezer Alper
Published: June 2016

Rock rigidity may be experienced in a wide range depending on several factors, and different methods can be used to consider their load-deformation behaviors. In this context, dilatometer tests (DTs) can be applied to obtain the modulus of elasticity of rock masses; therefore, it is possible to evaluate in-situ stress-strain behavior of rock masses realistically. Nevertheless, the application of this test is expensive as well as time-consuming, and necessitates mobilization of the equipment to construction site by trucks. The aim of this study is to simulate the load-deformation curve obtained of DT by neural networks (NNs). Therefore, the dilatometer test can be modeled as well as synthetic simulation of the test enables analyzers to characterize the material behavior. In order to investigate this, 50 different stress-deformation curves are obtained from DTs conducted on limestone formation underlying a dam (Dim dam) construction site in the Southern part of Turkey. The developed database by the curves was used for training and testing of the NN models. The results revealed that NN technique is quite successful for modeling the stress-deformation behavior of specific rocks based on DT results. It is therefore possible with the help of this alternative tool developed for the simulation of DT i) to model DT numerically, ii) to simulate the stress-strain behavior successfully, iii) to calculate the modulus of deformation efficiently, iv) to generate additional DT data synthetically, v) to develop material model alternatively, and vi) to make assumptions on the characterization of the rock mass behavior using previous information gathered by DTs.
Thermal Stress Analysis in ZrO2 Insulation Coatings on Cr-Ni Substrates during Cooling Process
Authors: Okur Ahmet , Yigit Recep , Celik Erdal , Sayman Onur
Published: June 2016

In this study, thermal stresses analysis of ZrO2 insulation coatings on Cr-Ni substrate during the cooling process was investigated. A transient thermal analysis was performed using finite element method (FEM) via ANSYS software. The temperature versus the time curve obtained from FEM solution was controlled with the temperaturetime diagram measured by a thermocouple. The results obtained from the numerical calculations were improved by the experimental measurement. Additionally, residual stresses were calculated by FEM solutions and they were compared in different points. The compressive and tensile stresses occurred in ZrO2 coating and Cr-Ni substrate owing to the different thermal expansion coefficients in each material, respectively.
Use of Data Envelopment Analysis as a Multi Criteria Decision Tool – A Case of Irrigation Management
Authors: Yılmaz Barış , Yurdusev Mehmet
Published: June 2016

In this paper, the use of Data Envelopment Analysis (DEA) as a tool for Multiple Criteria Decision Making (MCDM) is investigated for assessing various irrigation management strategies in terms of economic, environmental and social criteria. To carry out this task, an irrigation management research project report is used for the comparison of various MCDM and DEA rankings as well as providing the required data. The DEA methods called Charnes-Cooper-Rhodes (CCR), Banker- Charnes-Cooper (BCC) and Reduced-CCR (RCCR) are employed by the integration of criteria weights through the addition of assurance regions to improve discriminating power of the analysis, and to reach the ranking of strategies. The results indicate that DEA constitutes a valuable approach to be used alternatively or in addition to MCDM, and incorporating managerial preferences into the DEA methods provide correlated results with MCDM techniques.
An Assumed Stress Hybrid Finite Element for Buckling Analysis
Authors: Darılmaz Kutlu
Published: June 2016

An assumed stress 8-node hybrid finite element is presented for buckling analysis. The formulation is based on Hellinger-Reissner variational principle. The element has 24 membrane degrees of freedom and 24 bending degrees of freedom. The stress stiffness matrix is derived by using the Green-Lagrange strains. The element performance is assessed by comparison with numerical examples.
Simulation of Hemodynamics in a Graft-To-Vein Anastomoses by Adaptive Neuro-Fuzzy Based Modeling
Authors: Arslan Nurullah , Karaca Ferhat
Published: June 2016

A new methodology for simulating the flow field inside an arteriovenous (AV) graft to vein anastomoses by the adaptive neuro fuzzy inference system (ANFIS) is presented in this study. For determining the optimal AV graft angle, an ANFIS-based model of neuro fuzzy-graft-vein (NF-GVEIN) is proposed. Therefore engineering design of the graft can be supported. The advantage of this neuro-fuzzy hybrid model is that it does not require the model structure to be known a priori, in contrast to most of the modeling techniques. A case study with real experimental data was carried out. NFGVEIN was optimized by means of selection of the algorithm among 34 ANFIS algorithms by terms of minimal error. The optimal neural network structure was determined. The optimal AV graft angle causing the least turbulence was obtained. The simulation results showed that this model is feasible for forecasting of finding the optimal AV graft angle inside AV graft to vein anastomoses with different flow rates.
Diffraction of Waves by a Wedge with Phase Conjugate Faces
Authors: Umul Yusuf
Published: June 2016

The scattering process of waves by a wedge with phase conjugate faces is investigated with the aid of the modified diffraction theory of Kirchhoff. The scattering integral is evaluated asymptotically. The uniform diffracted waves and geometrical optics fields are plotted and examined numerically.
Replenishment Lot Size and Number of Shipments for EPQ Model Derived Without Derivatives
Authors: Chen Kuang-Ku , Chiu Singa
Published: June 2016

This paper investigates optimal replenishment lot size and optimal number of shipments for economic production quantity (EPQ) model with rework process using an algebraic approach. The classic EPQ model assumes a perfect quality production for all items produced and a continuous issuing policy for satisfying customer‟s demand. However, in a real life vendor-buyer integrated-production-inventory system, a multi- delivery policy is commonly used in lieu of a continuous issuing policy and generation of defective items during a production run seems to be inevitable. A recent published work examined such an identical problem using mathematical modeling and differential calculus to derive the optimal replenishment lot size and optimal number of deliveries that minimizes overall production-inventory-shipment costs. This paper proposes a straightforward algebraic approach to replace the use of calculus on the cost function for determining optimal production-shipment policies. It also presents a simpler form for calculating the long-run average cost for such an imperfect EPQ problem.
Solution of Nonlinear Oscillators with Fractional Nonlinearities by Using the Modified Differential Transformation Method
Authors: Merdan Mehmet , Gökdoğan Ahmet
Published: June 2016

In this paper, an aproximate analytical method called the differential transform method (DTM) is used as a tool to give approximate solutions of nonlinear oscillators with fractional nonlinearites. The differential transformation method is described in a nuthsell. DTM can simply be applied to linear or nonlinear problems and reduces the required computational effort. The proposed scheme is based on the differential transform method (DTM), Laplace transform and Padé approximants. The results to get the differential transformation method (DTM) are applied Padé approximants. The reliability of this method is investigated by comparison with the classical fourth-order Runge–Kutta (RK4) method and Cos-AT and Sine-AT method. Our the presented method showed results to analytical solutions of nonlinear ordinary differential equation. Some plots are gived to shows solutions of nonlinear oscillators with fractional nonlinearites for illustrating the accurately and simplicity of the methods.
Methods in Mathematica for Solving Ordinary Differential Equations
Authors: Göktaş Ünal , Kapadia Devendra
Published: June 2016

An overview of the solution methods for ordinary differential equations in the Mathematica function DSolve is presented.
On the Darboux Vector of Ruled Surfaces in Pseudo-Galilean Space
Authors: Ekici Cumali , Dede Mustafa
Published: June 2016

In the Euclidean space the Darboux vector may be interpreted kinematically as the direction of the instantaneous axis of rotation in the moving trihedron. In this paper we mainly study the Darboux vector of ruled surfaces in pseudo-Galilean space. We obtain relationships between Darboux and Frenet vectors of each type of ruled surfaces in pseudo-Galilean space. Moreover we observe that in the pseudo-Galilean space the Darboux vector can be interpreted kinematically as a shear along the absolute line.
Classical Differential Geometry of Curves According to Type-2 Bishop Trihedra
Authors: Özyılmaz Emin
Published: June 2016

In this work, we study classical differential geometry of the curves according to type-2 Bishop trihedra. First, we present some characterizations of a general helix, a helix, special cases and spherical curves. Thereafter, we investigate position vector of a regular curve by a system of ordinary differential equations whose solution gives the components of the position vector with respect to type-2 Bishop frame. Next we prove that the first vector field of the type-2 Bishop frame of a regular curve satisfies a vector differential equation of third order. Solutions of the mentioned system and vector differential equation have not been found. Therefore we present some special characterizations introducing special planes of three dimensional Euclidean space.
Forced Vibrations of Strongly Nonlinear Systems with Multiple Scales Lindstedt Poincaré Method
Authors: Pakdemirli M. , Karahan M. , Boyacı H.
Published: June 2016

Forced vibrations of duffing equation with damping is considered. Recently developed Multiple Scales Lindstedt-Poincare (MSLP) technique for free vibrations is applied for the first time to the forced vibration problem in search of approximate solutions. For the case of weak and strong nonlinearities, approximate solutions of the new method are contrasted with the usual Multiple Scales (MS) method and numerical simulations. For weakly nonlinear systems, frequency response curves of both perturbation methods and numerical solutions are in good agreement. For strongly nonlinear systems however, results of MS deviate much from the MSLP method and numerical simulations, the latter two being in good agreement.
Numerical Solution of N-Order Fuzzy Differential Equations by Runge-Kutta Method
Authors: Abbasbandy S. , Allahviranloo T. , Darabi P.
Published: June 2016

In this paper we study a numerical method for n-th order fuzzy differential equations based on Seikkala derivative with initial value conditions. The Runge-Kutta method is used for the numerical solution of this problem and the convergence and stability of the method is proved. By this method, we can obtain strong fuzzy solution. This method is illustrated by solving some examples.
Application of Chebyshev Approximation in the Process of Variational Iteration Method for Solving Differentialalgebraic Equations
Authors: Ghovatmand M. , Hosseini M.M. , Nilli M.
Published: June 2016

In this paper, we use Chebyshev approximations in the process of He’s variational iteration method for finding the solution of differential-algebraic equations. This allows us to make integration at each of the iterations possible and at the same time, obtain a good accuracy in a reasonable number of iterations. Numerical results show that using Chebyshev approximation is much more efficient than using Taylor approximation which is more popular. First, an index reduction technique is implemented for semi-explicit differentialalgebraic equations, then the obtained problem is solved by He’s variational iteration method. The scheme is tested for some high index differential-algebraic equations and the results demonstrate reliability and efficiency of the proposed method.
Erratum To: "High-Order Finite Difference Schemes for Solving the Advection-Diffusion Equation, Mathematical and Computational Applications, Vol. 15, No. 3, 449-460, 2010."
Authors: Sari Murat , Gürarslan Gürhan , Zeytinoğlu Asuman
Published: June 2016

There are two points mistyped in the paper need to be changed as follows: [...]
Application of (G'/G)-Expansion Method to the Compound KdV–Burgers-Type Equations
Authors: MIZRAK Mustafa , ERTAŞ Abdulkadir
Published: June 2016

In this Letter, the (G'/G) -expansion method is proposed to seek exact solutions of nonlinear evolution equations. For illustrative examples, we choose the compound KdV-Burgers equation, the compound KdV equation, the KdV-Burgers equation, the mKdV equation. The power of the employed method is confirmed.
The Investigation of 130,132Te by IBM-2
Authors: İnan Sait , Türkan Nureddin , Maraş İsmail
Published: June 2016

In this study, we determined the most appropriate Hamiltonian that is needed for present calculations of nuclei in the A 130 region by interacting boson model. The second version of interacting boson model (IBM-2) has been widely used for describing the quadrupole collective states of the medium heavy nuclei. The proton and neutron variables are distinguished when this version of the model is applied. Because it is important to describe the proton and neutron variables explicitely. Using the best-fitted values of parameters in the Hamiltonian of the IBM-2, we have calculated energy levels and B(E2) values for 130,132Te. The results were compared with the previous experimental and theoretical data and it is observed that they are in good agreement. Some B(E2) values that are still not known so far are stated and the set of parameters used in these calculations is the best approximation that has been carried out so far. It has turned out that the interacting boson approximation (IBA) is fairly reliable for the calculation of spectra in the entire set of such Te isotopes.
Exact Solvability of Stochastic Differential Equations Driven by Finite Activity Levy Processes
Authors: Iyigunler Ismail , Çağlar Mine , Ünal Gazanfer
Published: June 2016

We consider linearizing transformations of the one-dimensional nonlinear stochastic differential equations driven by Wiener and compound Poisson processes, namely finite activity Levy processes. We present linearizability criteria and derive the required transformations. We use a stochastic integrating factor method to solve the linearized equations and provide closed-form solutions. We apply our method to a number ofstochastic differential equations including Cox-Ingersoll-Ross short-term interest rate model, log-mean reverting asset pricing model and geometric Ornstein- Uhlenbeck equation all with additional jump terms. We use their analytical solutions to illustrate the accuracy of the numerical approximations obtained from Euler and Maghsoodi discretization schemes. The means of the solutions are estimated through Monte Carlo method.
Flow Analysis and Determination of Drag Forces for Spikes of Crops
Authors: Kırmacı S. , Pakdemirli M.
Published: June 2016

In this work, flow analysis and drag forces of spikes of crops are investigated. A control volume is constructed to calculate drag forces and coefficients of spikes of wheats (Triticum durum, Triticum aestivum) for various velocities. In addition, drag forces corresponding to different orientation angles are determined for spikes of bread wheats. Spikes without awns are drawn using UNIGRAPHICS program in order to computationally analyze the flow. The drawings are inserted into ANSYS ICEM-CFD program and drag forces and coefficients are determined.
Numerical Elastic Plastic Stress Analysis in a Woven Steel Reinforced Composite Thermoplastic Cantilever Beam
Authors: Benli Semih , Sayman Onur , Sayer Metin , Karamolla Mustafa
Published: June 2016

In this study, an elastic-plastic stress analysis has been carried out in a thermoplastic composite cantilever beam. The thermoplastic composite beam was reinforced by steel woven fibers. The beam was loaded uniformly. The orientation angles were chosen as 0°, 15°, 30° and 45°. The finite element models of the beams were developed by using ANSYS software. The obtained results from the nonlinear analyses show that the residual stress component of σx is the highest at the fixed end at the upper and lower edges for the 0° orientation. However, it is the highest on or around the elastic plastic boundaries for the 15°, 30° and 45° orientations. The magnitude of the residual stress component of Τxy is found to be the highest at or around the axis of the beam at the fixed end. 30° orientation produces the highest stress component of Τxy around the axis of the beam. Also, it is found that the magnitude of the residual stress component of σx is higher that that of the Τxy.
Returns to Scale and Scale Elasticity in Two-Stage Dea
Authors: Khaleghi Maryamsadat , Jahanshahloo Gholamreza , Zohrehbandian Majid , Lotfi Farhad
Published: June 2016

Data Envelopment Analysis (DEA) provides a method to evaluate the relative efficiency of peer Decision Making Units (DMUs) that have multiple inputs and outputs. Production process in two-stage DEA is performed in the two consecutive phases and DMUs have intermediate measures, in addition to their inputs and outputs. A unique feature of the intermediate measures is that the outputs in the first stage are being treated as inputs in the second stage. The aim of this paper is to determine the returns to scale (RTS) classification and scale elasticity (SE) in two-stage DEA. Therefore an approach is introduced for estimating the RTS situation of DMUs with two-stage structure based on the consideration of SE quantity in each of the individual stages. The utilization of the proposed approach is demonstrated with a real data set.
Optimal Restricted Designs for the Inverse Gaussian Mean
Authors: Bacanlı Sevil
Published: June 2016

This study deals with the development of optimal restricted two and three stage designs when response variable has an inverse Gaussian distribution with known scale parameter.
New Exact Solutions of the (2+1)-Dimensional Ginzburg-Landau Equation
Authors: Shi Ye-qiong
Published: June 2016

A novel identical reforming of differential equation and the high order auxiliary methods are used to construct solitary solutions and periodic solutions of (2 + 1)-Dimensional Ginzburg-Landau equation. It is shown that the high order auxiliary method, with the help of symbolic computation, provides a powerful mathematical tool for solving nonlinear equations arising in mathematical physics.
Review of the New Perturbation-Iteration Method
Authors: Pakdemirli Mehmet
Published: June 2016

The new perturbation iteration method developed by Pakdemirli and co- workers are reviewed. First, applications of the method to algebraic equations are discussed and some new root-finding algorithms developed by this method are given. Next, the applications of the new method to first order, second order and systems of first order ordinary differential equations are discussed. Three sample problems are selected. Results are compared with analytical solutions, solutions by other methods and numerical solutions. The new perturbation iteration method is an effective method that does not require small parameter assumption as in classical perturbation methods.
Comparison of Nonlinear Static and Dynamic Analyses on a R/C Building
Authors: Tekin Muhammed , Gürbüz Ali , Demir Ali
Published: June 2016

In recent years, nonlinear calculation methods can be easily carried out by means of developing computer technologies. In this way, comparisons of the nonlinear methods have started to increase rapidly and more studies are carried out on regular and irregular buildings. However, it is most important to compare consistency of the methods on buildings. In this study, most common nonlinear static (pushover) and nonlinear dynamic analysis (time history analysis) methods were compared on an asymmetric planned reinforced concrete (R/C) building. Building having horizontal and vertical irregularities was 5-story. Analyses were carried out by using SAP2000 program. The results are discussed in terms of base shear, lateral displacements and top displacement ratios.
A Mathematical Model for Two Dimensional Loading Problem in Cross-Docking Network Design
Authors: Küükoğlu İlker , Aksoy Aslı , Ene Seval , Öztürk Nursel
Published: June 2016

In this paper, the transportation problem of cross-docking network is taken into account. Cross-docking centers differ from distribution centers or warehouses in that the loads are transported from origins to destinations through cross-docking centers without storing them for a long time. Goods are unloaded from incoming trucks and reloaded immediately onto outgoing trucks in these cross-docking centers. This problem is formulated using a mixed integer programming with two-dimensional loading constraints. The two-dimensional shapes are applied for both trucks and loads in order to find exact capacity of each truck in basis of each product. The illustrative problems are solved and results show that the proposed model finds practical solutions with two- dimensional loading constraints.
Bernstein Collocation Method for Solving Nonlinear Differential Equations
Authors: Dascioglu Aysegul , Isler Nese
Published: June 2016

In this study, a collocation method based on Bernstein polynomials is developed for solution of the nonlinear ordinary differential equations with variable coefficients, under the mixed conditions. These equations are expressed as linear ordinary differential equations via quasilinearization method iteratively. By using the Bernstein collocation method, solutions of these linear equations are approximated. Combining the quasilinearization and the Bernstein collocation methods, the approximation solution of nonlinear differential equations is obtained. Moreover, some numerical solutions are given to illustrate the accuracy and implementation of the method.
Some Relations on Hermite Matrix Polynomials
Authors: Kargin Levent , Kurt Veli
Published: June 2016

In this study we give addition theorem, multiplication theorem and summation formula for Hermite matrix polynomials. We write Hermite matrix polynomials as hypergeometric matrix functions. We also obtain a new generating function for Hermite matrix polynomials and using this function, we prove some new results and relations.
A Full Factorial Design Based Desirability Function Approach for Optimization of Properties of C 40/50 Concrete Class
Authors: Şimşek Barış , Tansel İç Y. , H.Şimşek Emir
Published: June 2016

In this study a full factorial design (FFD) based desirability function approach (DFA) was used to the modeling of determined quality criteria of C 40/50 (C50). A FFD based DFA was also applied to determine optimal mixture proportions of C50. The mixture proportion modeled by using FFD was determined as the function of variables such as water to binder materials ratio, coarse aggregate (II) to total aggregate ratio, the percentage of superplasticizer content and fly ash amount. The properties of C50 were identified as that the slump flow and 28th day compressive strength. The model results were tested with experimental runs. The results showed that the determined regression meta-models were useful for prediction of properties of C50 with the mixture parameters. The results also showed that the FFD based DFA are effective in solving the mixture proportions optimization problem.
Vibration Analysis of Functionally Graded Sandwich Beam with Variable Cross-Section
Authors: Çallıoğlu Hasan , Demir Ersin , Yılmaz Yasin , Sayer Metin
Published: June 2016

In this study, free vibration behavior of a multilayered symmetric sandwich beam made of Functionally Graded Material (FGM) with variable cross-section is investigated. The elasticity and density of the Functionally Graded (FG) sandwich beam vary through the thickness according to the power and exponential laws by using mixture rules and laminate theory. In order to provide this, fifty layered beam is considered. Each layer is isotropic and homogeneous although the volume fractions of the constituents of the layers are different. Furthermore, the width of the beam varies exponentially along the length of the beam with rectangular cross-section. The natural frequencies are computed for conventional boundary conditions of the FG sandwich beam using theoretical procedure. The effects of material index, geometric index and slenderness ratio are also discussed. Finally, the obtained results are compared with those in literature and a finite element based commercial program ANSYS® and found to be consistent with each other.
Real-Time Multiple Object Tracking Using Virtual Shells
Authors: Kekec Taygun , Unel Mustafa , Erdogan Hakan
Published: June 2016

This paper presents a new multiple object tracking framework where arbitrarily shaped complex objects having severe occlusions are successfully tracked in real-time using stationary cameras. The proposed method utilizes the concept of a virtual shell that encloses each moving object in the scene and simplifies analysis of object interactions. Object’s state transitions are handled by an event resolution analysis. Such a regional analysis boosts the tracking process. Finally, a pixel level evaluation is employed for all objects to establish successful pixel memberships. The proposed tracking algorithm is experimentally tested on some public databases and our own challenging aquarium setup that contains many different fish interactions.
The Time Scale Calculus Approach to the Geodesic Problem in 3D Dynamic Data Sets
Authors: Atmaca Sibel , Akgüller Ömer
Published: June 2016

Geodesics have a fundamental role in the geometry of curved surfaces, as well as in discrete geometry. We present the time scale analogy of the dynamic data sets parameterized by a tensor product of two times scales. The goal of our study is the find the shortest and straightest path between two points on a point cloud like data sets which also involves continuous data.
Fibonacci Collocation Method for Solving Linear Differential - Difference Equations
Authors: Kurt Ayşe , Yalçınbaş Salih , Sezer Mehmet
Published: June 2016

This study presents a new method for the solution of mth-order linear differential-difference equations with variable coefficients under the mixed conditions. We introduce a Fibonacci collocation method based on the Fibonacci polynomials for the approximate solution. Numerical examples are included to demonstrate the applicability of the technique. The obtained results are compared by the known results.
A Parametric Hybrid Method for the Traveling Salesman Problem
Authors: Kızılates Gözde , Nuriyeva Fidan
Published: June 2016

The traveling salesman problem (TSP) is one of the typical NP–Hard problems of combinatorial optimization area. This paper proposes a new hyper heuristic algorithm named Parametric Hybrid Method (PHM) based on The Farthest Vertex (FV) and Greedy heuristics for solving the traveling salesman problem. In addition, many problem instances from TSPLIB (traveling salesman problem library) were solved with NN, Greedy and PHM algorithms. The experimental results show that the new hybrid algorithm is more effective and efficient than both Greedy and Nearest Neighbor algorithms.
Taylor Matrix Solution of the Mathematical Model of the RLC Circuits
Authors: Bahşı M. , Çevik Mehmet
Published: June 2016

The RLC circuit is a basic building block of the more complicated electrical circuits and networks. The present study introduces a novel and simple numerical method for the solution this problem in terms of Taylor polynomials in the matrix form. Particular and general solutions of the related differential equation can be determined by this method. The method is illustrated by a numerical application and a quite good agreement is observed between the results of the present method and those of the exact method.
A New Heuristic Algorithm to Solve the Maximum Independent Set Problem
Authors: Ugurlu Onur
Published: June 2016

The Maximum Independent Set Problem is a classic graph optimization NPhard problem. Given a graph G=(V,E), the independent set problem is that of finding a maximum-cardinality subset S of V such that no two vertices in S are adjacent. In this paper, the maximum independent set problem is discussed and a new heuristic algorithm is proposed to solve this problem. The performance of the algorithm has been tested on DIMACS benchmark instances and compared with the literature works. The experimental results show that the proposed approach can yield good solutions.
Performance Analysis of Distance Transform Based Inter-Slice Similarity Information on Segmentation of Medical Image Series
Authors: Selvi Eşref , Özdemir Merve , Selver M.
Published: June 2016

Segmentation of organs from CT and MR image series is a challenging research area in all fields of medical imaging. Although, organs of interest are three-dimensional in nature, slice-by-slice approaches are widely used in clinical applications because of their ease of integration with the current manual segmentation scheme (i.e. gold standard). Moreover, the high anisotropy of CT and MR data makes intra-slice information more reliable than inter-slice features. Nevertheless, slice-by-slice techniques should be supported with adjacent slice information since it is shown that features using the similarity of adjacent image slices outperform measures based on single-slice features in all cases. One of this similarity features is the distance transform which is shown to be effective on providing inter-slice similarity of abdominal organs. A parameter that control the vicinity of search area using the distance transform is α, which determines the order of the power of distance transforms applied to the image. Since there is no study discussing the effect of α on segmentation performance, the aim of this study is to analyze how changes on α affects performance in terms of accuracy, computation and time requirements. The simulations performed on several medical image series and for four different abdominal organs show the importance of parameter analysis for distance transformation.
Exact Solution and Buckling Configuration of Nanotubes Containing Internal Flowing Fluid
Authors: Sınır B. Gültekin , Uz F. Esra , Ergun Sefa
Published: June 2016

In this study, the post-divergence behaviour of nanotubes of conveying internal moving fluid with both inner and outer surface layers are analyzed in nonlinear theorical model. The governing equation has the cubic nonlinearity. The source of this nonlinearity is the surface effect and mid-plane stretching in the nanobeam theory. Exact solutions for the post buckling configurations of nanotubes with clamped-hinged with torsionally spring and hybrid boundary conditions is found. The critical flow velocity at which the nanotube is buckled is shown. The effects of various non-dimensional system parameters on the post-buckling behaviour are investigated.
Authorship Attribution Using Principal Component Analysis and Competitive Neural Networks
Authors: Can Mehmet
Published: June 2016

Feature extraction is a common problem in statistical pattern recognition. It refers to a process whereby a data space is transformed into a feature space that, in theory, has exactly the same dimension as the original data space. However, the transformation is designed in such a way that the data set may be represented by a reduced number of "effective" features and yet retain most of the intrinsic information content of the data; in other words, the data set undergoes a dimensionality reduction. Principal component analysis is one of these processes. In this paper the data collected by counting selected syntactic characteristics in around a thousand paragraphs of each of the sample books underwent a principal component analysis. Authors of texts identified by the competitive neural networks, which use these effective features.
Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance
Authors: Yuzukirmizi Mustafa , Arslan Hakan
Published: June 2016

Roller bearing is one of the most widely used and critical elements in rotating machinery. In consequence, bearing fault diagnosis in machines, as well as to discriminate the different fault conditions have been a great interest. In this study, firstly, analytical model of a shaft-ball bearing system is developed. The shaft is assumed to be perfectly rigid and uniform, and supported by two radial ball bearings. Then, the effect of localized defects on bearing running surfaces (i.e. surfaces of inner and outer rings and balls) on the shaft vibrations are obtained using the simulation program. Then, vibration signatures are analyzed by one-way analysis of variance (ANOVA) method. Finally, post-hoc tests are applied to differentiate the ball bearing element's localized defects in shaft-ball bearing simulation model.
Optimizing Hybrid Basis Function Types in Functional Network Design via Cultural Algorithm
Authors: Guo Peigang , Zhou Yongquan
Published: June 2016

In this paper, a novel functional network designing method based on cultural algorithm is proposed. This method can get the hybrid basis function and its parameters with optimal searching achieving the learning between functional network structure and the functional parameters, and each model of the initial set is evaluated by the adjusted R − squared criterion (Ra2) , to find the optimal basis functions and functional parameters. Finally, the simulation experiments show that the proposed constructive functional network design scheme is feasible, and can obtain better generalization property.
On Characterization of Inextensible Flows of Curves According to Type-2 Bishop Frame E3
Authors: Kızıltuğ Sezai
Published: June 2016

In this paper, we study inextensible flows of curves according to type-2 Bishop frame in Euclidean 3-space. Necessary and sufficient conditions for an inextensible curve flow are expressed as a partial differential equation involving the curvature.
Taiex Index Option Model by Using Nonlinear Differential Equation
Authors: Lin Tsung-Jui , Li Meng-Rong , Lee Yong
Published: June 2016

In this study we treat TXO price as a dynamic system which changes over time and characterize it by differential equations. Our goal is to construct a model more suitable for TXO. We use ―Parabola Approximation‖ proposed by Li et al. (2011) to solve the differential equations and try to find the model which fits our data the most. Empirical study shows the model used all produce accurate estimates of TXO prices.
Simplified, Analytically Solvable Model Problem for Non-Analog Monte Carlo Methods
Authors: Çeçen Yiğit , Tombakoğlu Mehmet
Published: June 2016

In Monte Carlo particle transport, it is important to change the variance of calculations of relatively rare events with a technique known as non-analog Monte Carlo. In order to reduce the variance and the computation time, biasing techniques are introduced to accelerate the calculation convergence without changing the outcome. However these variance reduction techniques are often complex and can only be solved by computer codes. In this study, a simplified, analytically solvable model problem is introduced for non-analog Monte Carlo methods. A sample problem for neutrons passing through a thick shield is simulated. The drawback of this simulation is the expensive computation time and large variance for analog Monte Carlo methods. So, biasing techniques like implicit capture and splitting are introduced and the problem is solved analytically.
On a New Solution of Fractional Differential Equation Using Complex Transform in the Unit Disk
Authors: Ibrahim Rabha , Darus Maslina
Published: June 2016

The Möbius transform of fractional differential equation (Riccati type) is employed to construct new exact solutions for some nonlinear fractional differential equations. The fractional operators are taken in sense of the modified Srivastava-Owa fractal in the unit disk. Examples are illustrated for problems in biology, economic and physics.
Special Finite Difference Method for Singular Perturbation Problems with One-End Boundary Layer
Authors: Phaneendra K. , Madhulatha K. , Reddy Y.N.
Published: June 2016

In this paper, we have presented a special finite difference method for solving a singular perturbation problem with layer behaviour at one end. In this method, we have used a second order finite difference approximation for the second derivative, a modified second order upwind finite difference approximation for the first derivative and a second order average difference approximation for y to reduce the global error and retaining tridiagonal system. Then the discrete invariant imbedding algorithm is used to solve the tridiagonal system. This method controls the rapid changes that occur in the boundary layer region and it gives good results in both cases i.e., h ≤ ε and ε << h. The existence and uniqueness of the discrete problem along with stability estimates are discussed. Also we have discussed the convergence of the method. We have presented maximum absolute errors for the standard examples chosen from the literature.
A Network Traffic Prediction Model Based on Quantum Inspired Pso and Wavelet Neural Network
Authors: Zhang Kun
Published: June 2016

Network traffic flow prediction model is fundamental to the network performance evaluation and the design of network control scheme which is crucial for the success of high-speed networks. Aiming at shortcoming of the conventional network traffic time series prediction model and the problem that BP training algorithms easily plunge into local solution, a network traffic prediction model based on wavelet neural network and PSO-QI is presented in the paper. Firstly, the quantum principle obtained from Quantum PSO(QPSO)has been combined with standard PSO to form a new hybrid algorithm called PSO with Quantum Infusion(PSO-QI). Then, the parameters of wavelet neural network were optimized with PSO-QI and the time series of network traffic data was modeled and predicted based on wavelet neural network and PSO-QI. Experiments showed that PSOQI-wavelet neural network has better precision and adaptability compared with the traditional neural network.
On the Pentanacci Numbers
Authors: Sarisahin Tugba , Nalli Ayse
Published: June 2016

In this paper, we give recurrence relation obtained by using from [1] for Pentanacci sequence. Furthermore, we construct generating matrix for P6n, S6n. Finally, we represent relationships between Pentanacci sequence and permanents of certain matrices.
Homotopic Approximate Solutions for the General Perturbed Nonlinear Schrödinger Equation
Authors: Hong Baojian , Lu Dianchen , Liu Yangzheng
Published: June 2016

In this work, a class of perturbed nonlinear Schrödinger equation is studied by using the homotopy perturbation method. Firstly, we obtain some Jacobi-like elliptic function solutions of the corresponding typical general undisturbed nonlinear Schrödinger equation through the mapping deformation method, and secondly, a homotopic mapping transform is constructed, then the approximate solution with arbitrary degree of accuracy for the perturbed equation is researched, it is pointed out that the series of approximate solution is convergent. Finally, the efficiency and accuracy of the approximate solution is also discussed by using the fixed point theorem.
A Method of Hybrid Multiple Attributes Group Decision Making with Risk Considering Decision-Makers' Confidence
Authors: Wen Xingzi , Ouyang Junlin , Liu Youjin
Published: June 2016

With respect to different confidence on evaluation result from different decision-makers to the hybrid multi-attribute with risk, an approach to group decision- making based on prospect theory and projection theory is proposed. Firstly, a tuple is established to record the evaluation result and the hybrid decision information. Then the element of the tuple is changed into a single triangular fuzzy number by the transformation rule. Considering the confidence degree from single decision-maker to evaluation information, the group decision information is aggregated and the weights of attributes are calculated based on the intuitionistic fuzzy set theory. The improved projection method and prospect theory are proposed to rank the alternatives respectively. Finally, an application case is given to demonstrate the effectiveness and feasibility of the proposed approach.
A Weakly Convergence Result on Lp(x) Spaces
Authors: Kaya Yasin
Published: June 2016

In this paper with 1 < p- ≤ p+ <∞ condition we prove a weak convergence result under pointwise convergence and bounded of the sequence. Our theorem is an extension of classical result to variable exponent setting.
Derivation of a Six-Step Block Method for Direct Solution of Second Order Ordinary Differential Equations
Authors: Kuboye J. , Omar Z.
Published: June 2016

A new six-step block method for solving second order initial value problems of ordinary differential equations is proposed using interpolation and collocation strategies. In developing this method, the power series adopted as an approximate solution is employed as interpolation equation while its second derivative is used as collocation equation. In addition, the stability properties of the developed method are also established. The numerical results reveal that the new method produces better accuracy if compared to existing methods when solving the same problems.
Bernstein Collocation Method for Solving the First Order Nonlinear Differential Equations with the Mixed Non-Linear Conditions
Authors: Yalçınbaş Salih , Gürler Huriye
Published: June 2016

In this study, we present the Bernstein matrix method to solve the first order nonlinear ordinary differential equations with the mixed non-linear conditions. By using this method, we obtain the approximate solutions in form of the Bernstein polynomials [1,2,16,17]. The method reduces the problem to a system of the nonlinear algebraic equations by means of the required matrix relations of the solutions form. By solving this system, the approximate solution is obtained. Finally, the method will be illustrated on the examples.
Sum Rule Approach to Nuclear Collective Vibration
Authors: Erbil H. , Gerçeklioglu M. , Ilhan M. , Kuliev A.
Published: June 2016

The NEWSR and the EWSR are studied microscopically within TDA and RPA methods. By exploiting the analytic properties of the electromagnetic and allowed β-transitions matrix elements the theory of residue and contour integrals is used IO show that exact calculation of the NEWSR and EWSR is possible. In TDA (non-degenerate limit) we deduce formula for the EWSR of Eλ transition strength We have given different way of the proof of Thouless theorem about exactly exhausting the EWSR of Eλ transitions matrix elements in RPA The unlike particle-hole formalism is developed for allowed β transitions We find that TDA and RPA conserve the NEWSR and EWSR for Fermi and G-T β-decays.
Three Dimensional Stress Analysis in the Crowned Human Teeth
Authors: Aykul Halil , Toparh Mustafa , Sayman Onur , Artunç Celal
Published: June 2016

The stress distribution on a mandibular right second premolar tooth was investigated by using a three dimensional finite element model. Three crowns cast in different materials were subjected to 11 simulated biting force of 100 N with six different postures. The distribution of compressive and tensile stresses on cole and apex was evaluated by using a computer program. The stress component in transverse direction on the cole with porcelain crown was found to be most compatible with enamel when compared with other materials.
Minimax Optimal Control for One Class of Uncertain Systems
Authors: Dzhafarov V. , Karamancıoğlu A. , Çetintaş S.
Published: June 2016

A controllable system described by linear differential equation with uncertainties in the initial condition and forcing function is considered, We aim to find a control which minimizes a cost function having terminal and integral parts, Using game theory and convex analysis, under some sufficient conditions, the optimal control is obtained.
Computation of Transmission Line Transients by Using Fast Inverse Laplace Transform
Authors: Mamiş M. , Köksal Muhammet
Published: June 2016

In this paper. transients appearing power transmission systems due to line energization are computed by using Fast inverse Laplace Transform (FILT). s-domain transfer function of the system is calculated by using distributed parameter representation of transmission line. For the frequency to time domain transformation of transfer function, Fast Inverse Laplace Transform is applied. Comparisons are made between the results obtained by FILT and conventional methods such as conventional Laplace transform and Electromagnetic Transients Program (EMTP).
An IBM(2) Investigation of Some Properties of 100Ru Nuclei
Authors: Turkan N. , Uluer İ.
Published: June 2016

In this study, energy values, B(E2) values and quadrupole moment of 100Ru isotope at the onset of the deformed region were investigated by using the Interacting Boson Model (IBM-2). The results were compared with the experimental and theoretical values and it is determined that they are in good agreement.
Holographic Tachyon in Fractal Geometry
Authors: Salti Mustafa , Aydogdu Oktay
Published: June 2016

The search of a logical quantum gravity theory is one of the noteworthy issues in modern theoretical physics. It is known that most of the quantum gravity theories describe our universe as a dimensional flow. From this point of view, one can investigate whether and how these attractive properties are related with the ultraviolet-divergence problem. These important points motivated us to discuss the reconstruction of a scalar field problem in the fractal theory which is a well-known quantum theory of gravity. Making use of time-like fractal model and considering the holographic description of galactic dark energy, we implement a correspondence between the tachyon model of galactic dark energy effect and holographic energy. Such a connection gives us an opportunity to redefine the fractal dynamics of selected scalar field representation by considering the time-evolution of holographic energy.
Artificial Neural Networks in Robotic Applications
Authors: Sağıroğlu Şeref
Published: June 2016

There are a number of problems that their analytical solutions are difficult to obtain using conventional techniques in robotics. This-paper examines the use of Artificial Neural Networks (ANNs) as a new technique to solve such problems in the field of robotics.
This paper presents an overview on ANNs applications to robot kinematics, dynamics, control, trajectory and task planning, and sensing. Moreover, the advantages and disadvantages of using and implementing ANNs to the robotic problems are outlined.
Approximate Boundary Layer Solution of a Moving Beam Problem
Authors: Pakdemirli M. , Özkaya E.
Published: June 2016

The transverse vibrations of a simply supported beam moving with constant velocity is considered. The case of transition from',:string to beam effects is treated. In this model, the fourth order spatial derivative multiplies a small parameter and hence leads to a boundary layer problem. The problem is solved approximately using the method of multiple scales.
Three Dimensional Stress Anaysis in Adhesively Bonded Joints
Authors: Kaya Ali , Tekelioğlu Mehmet
Published: June 2016

Stress and strain distributions in the adhesive bonded joints subjected to distributed forces are investigated using finite element method. Two different cases are considered, the bonded materials are the same, and the bonded materials are different. The investigations are conducted on a three dimensional model. The finite element model of the joint is obtained using isoparametric three dimensional elements having eight nodes with three degrees of freedom each. The stress components and their distributions both on adhesive surface and on metallic elements are given in dimensionless form using three dimensional graphics.