Browsing by Publisher "World Scientific Publishing Co. Pte Ltd"
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Item A fuzzy analytic hierarchy process methodology for the supplier selection problem(World Scientific Publishing Co. Pte Ltd, 2012) Ozfirat P.M.; Tuna G.; Tuncel G.Purchasing activities of a company form a very important part in the operation of the company. The quality of production and services mainly rely on the performance of the suppliers. In addition, a large amount of the product's total cost belongs to the purchasing cost of its materials. Therefore, selecting the most suitable suppliers is very important for the firm. Unfortunately, most of the time, suppliers cannot provide the highest quality parts on-time at the lowest costs in the market. In other words, quality, delivery and cost objectives conflict with each other. In this study a fuzzy analytic hierarchy process approach is employed for the supplier selection problem of a textile company. First the selection criteria according to company's objectives are determined. Then the pair-wise comparisons are made on a fuzzy basis. Similarly, in the next step, the six alternative suppliers are compared by fuzzy means. Finally, the two suppliers which achieved the highest performance are advised to the company.Item Eikonal slant helices and Eikonal Darboux helices in 3-dimensional Riemannian manifold(World Scientific Publishing Co. Pte Ltd, 2014) Önder M.; Ziplar E.; Kaya O.In this study, we give the definitions and characterizations of Eikonal slant helices, Eikonal Darboux helices and non-modified Eikonal Darboux helices in 3-dimensional Riemannian manifold M3. We show that every Eikonal slant helix is also an Eikonal Darboux helix. Furthermore, we obtain that if the curve α is a non-modified Eikonal Darboux helix, then α is an Eikonal slant helix if and only if κ2 + τ2 = constant, where κ and τ are curvature and torsion of α, respectively. © World Scientific Publishing Company.Item First-order memristor-capacitor filter circuits employing hp memristor(World Scientific Publishing Co. Pte Ltd, 2014) Sozen H.; Cam U.The memristor has drawn the worldwide attention since it has been discovered at HP laboratory on 1 May 2008. Since then many researchers are taking efforts to find its applications in various areas. In this paper, we study the filter characteristics of first-order low pass and high pass filters employing memristor with a capacitor. The paper provides a comparative analysis between low pass and high pass filter circuits that utilizing ordinary resistor or memristor with a capacitor. The theoretical analyzes are verified with SPICE simulation results using a memristor SPICE model with nonlinear dopant drift and MATLAB environment. The effect of change of the input frequency and initial resistance value of memristor on the cut-off frequencies of the presented low pass and high pass filters are investigated. The memory effect of memristor is represented by simulation results. © 2014 World Scientific Publishing Company.Item FTIR and VSM properties of samarium-doped nickel ferrite(World Scientific Publishing Co. Pte Ltd, 2014) Şabikoǧlu I.; Parali L.Nickel Ferrite (NiFe2O4) doped with Samarium (Sm) (0.2, 0.3, 0.4, 0.5 mol.%) was prepared by the conventional solid-state reaction. The crystal structure, surface morphology, infrared spectrum of absorption, and magnetic properties of samples were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and vibrating sample magnetometer (VSM). XRD patterns were indexed with inverse spinel cubic phase with the space group of Fd-3m of nickel ferrite. The average grain size was about 5-10 μm. FTIR spectral study on the NiFe2O4 ferrite phase was recorded between 350 cm-1 and 4000 cm-1. Two fundamental absorption bands of the ferrites were appeared at 450 cm-1 and 1000 cm -1 characteristic of metal vibrations. VSM measurements show that the NiFe2O4 doped with Sm 0.3% has the highest value of saturation magnetization. It is also easily demagnetized due to the low value of coercivity field it has. Both NiFe2O4 doped with Sm 0.2 mol.% and 0.4 mol.% materials have same values of coercivity field. However, NiFe2O4 doped with Sm 0.4 mol.% material has the comparatively high value of saturation magnetization than NiFe2O 4 doped with Sm 0.2%, also this material was hardly demagnetized, and has highest coercivity field. © 2014 World Scientific Publishing Company.Item Vibration and stability analysis of axially moving beams with variable speed and axial force(World Scientific Publishing Co. Pte Ltd, 2014) Özhan B.B.The well-known vibration model of axially moving beam is considered. Both axial moving speed and axial force are assumed to vary harmonically. The Method of Multiple Time Scales (a perturbation method) is used. The natural vibrations of beam are considered for different values of beam parameters. Resonances are obtained for seven different conditions. Solvability conditions for each resonance case are found analytically. Effects of transport velocity, axial force, rigidity and damping are discussed. Stability analysis are obtained for principal parametric resonances. Stable and unstable regions are obtained regarding velocity and force effects separately and together. © 2014 World Scientific Publishing Company.Item On the invariants of Mannheim offsets of timelike ruled surfaces with spacelike rulings(World Scientific Publishing Co. Pte Ltd, 2015) Önder M.; Hüseyin Uʇurlu H.In this paper, we give the characterizations for Mannheim offsets of timelike ruled surfaces with spacelike rulings in dual Lorentzian space D13. We obtain the relations between terms of their integral invariants and also we give new characterization for the Mannheim offsets of developable timelike ruled surface. Moreover, we find relations between the area of projections of spherical images for Mannheim offsets of timelike ruled surfaces and their integral invariants. © 2015 World Scientific Publishing Company.Item LHCb detector performance(World Scientific Publishing Co. Pte Ltd, 2015) Aaij R.; Adeva B.; Adinolfi M.; Affolder A.; Ajaltouni Z.; Akar S.; Albrecht J.; Alessio F.; Alexander M.; Ali S.; Alkhazov G.; Alvarez Cartelle P.; Alves A.A., Jr.; Amato S.; Amerio S.; Amhis Y.; An L.; Anderlini L.; Anderson J.; Andreassen R.; Andreotti M.; Andrews J.E.; Appleby R.B.; Aquines Gutierrez O.; Archilli F.; Artamonov A.; Artuso M.; Aslanides E.; Auriemma G.; Baalouch M.; Bachmann S.; Back J.J.; Badalov A.; Baesso C.; Baldini W.; Barlow R.J.; Barschel C.; Barsuk S.; Barter W.; Batozskaya V.; Battista V.; Bay A.; Beaucourt L.; Beddow J.; Bedeschi F.; Bediaga I.; Belogurov S.; Belous K.; Belyaev I.; Ben-Haim E.; Bencivenni G.; Benson S.; Benton J.; Berezhnoy A.; Bernet R.; Bettler M.-O.; Van Beuzekom M.; Bien A.; Bifani S.; Bird T.; Bizzeti A.; Bjørnstad P.M.; Blake T.; Blanc F.; Blouw J.; Blusk S.; Bocci V.; Bondar A.; Bondar N.; Bonivento W.; Borghi S.; Borgia A.; Borsato M.; Bowcock T.J.V.; Bowen E.; Bozzi C.; Brambach T.; Bressieux J.; Brett D.; Britsch M.; Britton T.; Brodzicka J.; Brook N.H.; Brown H.; Bursche A.; Buytaert J.; Cadeddu S.; Calabrese R.; Calvi M.; Calvo Gomez M.; Campana P.; Campora Perez D.; Carbone A.; Carboni G.; Cardinale R.; Cardini A.; Carson L.; Carvalho Akiba K.; Casse G.; Cassina L.; Castillo Garcia L.; Cattaneo M.; Cauet Ch.; Cenci R.; Charles M.; Charpentier Ph.; Chefdeville M.; Chen S.; Cheung S.-F.; Chiapolini N.; Chrzaszcz M.; Ciba K.; Cid Vidal X.; Ciezarek G.; Clarke P.E.L.; Clemencic M.; Cliff H.V.; Closier J.; Coco V.; Cogan J.; Cogneras E.; Cogoni V.; Cojocariu L.; Collazuol G.; Collins P.; Comerma-Montells A.; Contu A.; Cook A.; Coombes M.; Coquereau S.; Corti G.; Corvo M.; Counts I.; Couturier B.; Cowan G.A.; Craik D.C.; Crocombe A.C.; Cruz Torres M.; Cunliffe S.; Currie R.; D'Ambrosio C.; Dalseno J.; David P.; David P.N.Y.; Davis A.; De Bruyn K.; De Capua S.; De Cian M.; De Miranda J.M.; De Paula L.; De Silva W.; De Simone P.; Decamp D.; Deckenhoff M.; Del Buono L.; Déĺeage N.; Derkach D.; Deschamps O.; Dettori F.; Di Canto A.; Dijkstra H.; Donleavy S.; Dordei F.; Dorigo M.; Dosil Súarez A.; Dossett D.; Dovbnya A.; Dreimanis K.; Dujany G.; Dupertuis F.; Durante P.; Dzhelyadin R.; Dziurda A.; Dzyuba A.; Easo S.; Egede U.; Egorychev V.; Eidelman S.; Eisenhardt S.; Eitschberger U.; Ekelhof R.; Eklund L.; El Rifai I.; Elsasser Ch.; Ely S.; Esen S.; Evans H.M.; Evans T.; Falabella A.; Färber C.; Farinelli C.; Farley N.; Farry S.; Fay R.; Ferguson D.; Fernandez Albor V.; Ferreira Rodrigues F.; Ferro-Luzzi M.; Filippov S.; Fiore M.; Fiorini M.; Firlej M.; Fitzpatrick C.; Fiutowski T.; Fol P.; Fontana M.; Fontanelli F.; Forty R.; Francisco O.; Frank M.; Frei C.; Frosini M.; Fu J.; Furfaro E.; Gallas Torreira A.; Galli D.; Gallorini S.; Gambetta S.; Gandelman M.; Gandini P.; Gao Y.; Garćia Pardiñas J.; Garofoli J.; Garra Tico J.; Garrido L.; Gascon D.; Gaspar C.; Gauld R.; Gavardi L.; Geraci A.; Gersabeck E.; Gersabeck M.; Gershon T.; Ghez Ph.; Gianelle A.; Giani S.; Gibson V.; Giubega L.; Gligorov V.V.; Göbel C.; Golubkov D.; Golutvin A.; Gomes A.; Gotti C.; Grabalosa Gándara M.; Graciani Diaz R.; Granado Cardoso L.A.; Graugés E.; Graverini E.; Graziani G.; Grecu A.; Greening E.; Gregson S.; Griffith P.; Grillo L.; Grünberg O.; Gui B.; Gushchin E.; Guz Yu.; Gys T.; Hadjivasiliou C.; Haefeli G.; Haen C.; Haines S.C.; Hall S.; Hamilton B.; Hampson T.; Han X.; Hansmann-Menzemer S.; Harnew N.; Harnew S.T.; Harrison J.; He J.; Head T.; Heijne V.; Hennessy K.; Henrard P.; Henry L.; Hernando Morata J.A.; Van Herwijnen E.; Heß M.; Hicheur A.; Hill D.; Hoballah M.; Hombach C.; Hulsbergen W.; Hunt P.; Hussain N.; Hutchcroft D.; Hynds D.; Idzik M.; Ilten P.; Jacobsson R.; Jaeger A.; Jalocha J.; Jans E.; Jaton P.; Jawahery A.; Jing F.; John M.; Johnson D.; Jones C.R.; Joram C.; Jost B.; Jurik N.; Kandybei S.; Kanso W.; Karacson M.; Karbach T.M.; Karodia S.; Kelsey M.; Kenyon I.R.; Ketel T.; Khanji B.; Khurewathanakul C.; Klaver S.; Klimaszewski K.; Kochebina O.; Kolpin M.; Komarov I.; Koopman R.F.; Koppenburg P.; Korolev M.; Kozlinskiy A.; Kravchuk L.; Kreplin K.; Kreps M.; Krocker G.; Krokovny P.; Kruse F.; Kucewicz W.; Kucharczyk M.; Kudryavtsev V.; Kurek K.; Kvaratskheliya T.; La Thi V.N.; Lacarrere D.; Lafferty G.; Lai A.; Lambert D.; Lambert R.W.; Lanfranchi G.; Langenbruch C.; Langhans B.; Latham T.; Lazzeroni C.; Le Gac R.; Van Leerdam J.; Lees J.-P.; Lefèvre R.; Leflat A.; Lefraņcois J.; Leo S.; Leroy O.; Lesiak T.; Leverington B.; Li Y.; Likhomanenko T.; Liles M.; Lindner R.; Linn C.; Lionetto F.; Liu B.; Lohn S.; Longstaff I.; Lopes J.H.; Lopez-March N.; Lowdon P.; Lucchesi D.; Luo H.; Lupato A.; Luppi E.; Lupton O.; Machefert F.; Machikhiliyan I.V.; Maciuc F.; Maev O.; Malde S.; Malinin A.; Manca G.; Mancinelli G.; Mapelli A.; Maratas J.; Marchand J.F.; Marconi U.; Marin Benito C.; Marino P.; Märki R.; Marks J.; Martellotti G.; Martens A.; Martín ͆anchez A.; Martinelli M.; Martinez Santos D.; Martinez Vidal F.; Martins Tostes D.; Massafferri A.; Matev R.; Mathe Z.; Matteuzzi C.; Mazurov A.; McCann M.; McCarthy J.; McNab A.; McNulty R.; McSkelly B.; Meadows B.; Meier F.; Meissner M.; Merk M.; Milanes D.A.; Minard M.-N.; Moggi N.; Molina Rodriguez J.; Monteil S.; Morandin M.; Morawski P.; Mordà A.; Morello M.J.; Moron J.; Morris A.-B.; Mountain R.; Muheim F.; Müller K.; Mussini M.; Muster B.; Naik P.; Nakada T.; Nandakumar R.; Nasteva I.; Needham M.; Neri N.; Neubert S.; Neufeld N.; Neuner M.; Nguyen A.D.; Nguyen T.D.; Nguyen-Mau C.; Nicol M.; Niess V.; Niet R.; Nikitin N.; Nikodem T.; Novoselov A.; O'Hanlon D.P.; Oblakowska-Mucha A.; Obraztsov V.; Oggero S.; Ogilvy S.; Okhrimenko O.; Oldeman R.; Onderwater C.J.G.; Orlandea M.; Otalora Goicochea J.M.; Owen P.; Oyanguren A.; Pal B.K.; Palano A.; Palombo F.; Palutan M.; Panman J.; Papanestis A.; Pappagallo M.; Pappalardo L.L.; Parkes C.; Parkinson C.J.; Passaleva G.; Patel G.D.; Patel M.; Patrignani C.; Pearce A.; Pellegrino A.; Penso G.; Pepe Altarelli M.; Perazzini S.; Perret P.; Perrin-Terrin M.; Pescatore L.; Pesen E.; Pessina G.; Petridis K.; Petrolini A.; Picatoste Olloqui E.; Pietrzyk B.; Pilar T.; Pinci D.; Pistone A.; Playfer S.; Plo Casasus M.; Polci F.; Poluektov A.; Polyakov I.; Polycarpo E.; Popov A.; Popov D.; Popovici B.; Potterat C.; Price E.; Price J.D.; Prisciandaro J.; Pritchard A.; Prouve C.; Pugatch V.; Puig Navarro A.; Punzi G.; Qian W.; Rachwal B.; Rademacker J.H.; Rakotomiaramanana B.; Rama M.; Rangel M.S.; Raniuk I.; Rauschmayr N.; Raven G.; Redi F.; Reichert S.; Reid M.M.; Dos Reis A.C.; Ricciardi S.; Richards S.; Rihl M.; Rinnert K.; Rives Molina V.; Robbe P.; Rodrigues A.B.; Rodrigues E.; Rodriguez Perez P.; Roiser S.; Romanovsky V.; Romero Vidal A.; Rotondo M.; Rouvinet J.; Ruf T.; Ruiz H.; Ruiz Valls P.; Saborido Silva J.J.; Sagidova N.; Sail P.; Saitta B.; Salustino Guimaraes V.; Sanchez Mayordomo C.; Sanmartin Sedes B.; Santacesaria R.; Santamarina Rios C.; Santovetti E.; Sarti A.; Satriano C.; Satta A.; Saunders D.M.; Savrina D.; Schiller M.; Schindler H.; Schlupp M.; Schmelling M.; Schmidt B.; Schneider O.; Schopper A.; Schune M.-H.; Schwemmer R.; Sciascia B.; Sciubba A.; Semennikov A.; Sepp I.; Serra N.; Serrano J.; Sestini L.; Seyfert P.; Shapkin M.; Shapoval I.; Shcheglov Y.; Shears T.; Shekhtman L.; Shevchenko V.; Shires A.; Silva Coutinho R.; Simi G.; Sirendi M.; Skidmore N.; Skillicorn I.; Skwarnicki T.; Smith N.A.; Smith E.; Smith J.; Smith M.; Snoek H.; Sokoloff M.D.; Soler F.J.P.; Soomro F.; Souza D.; Souza De Paula B.; Spaan B.; Sparkes A.; Spradlin P.; Sridharan S.; Stagni F.; Stahl M.; Stahl S.; Steinkamp O.; Stenyakin O.; Stevenson S.; Stoica S.; Stone S.; Storaci B.; Stracka S.; Straticiuc M.; Straumann U.; Stroili R.; Subbiah V.K.; Sun L.; Sutcliffe W.; Swientek K.; Swientek S.; Syropoulos V.; Szczekowski M.; Szczypka P.; Szumlak T.; T'Jampens S.; Teklishyn M.; Tellarini G.; Teubert F.; Thomas C.; Thomas E.; Van Tilburg J.; Tisserand V.; Tobin M.; Tolk S.; Tomassetti L.; Tonelli D.; Topp-Joergensen S.; Torr N.; Tournefier E.; Tourneur S.; Tran M.T.; Tresch M.; Tsaregorodtsev A.; Tsopelas P.; Tuning N.; Ubeda Garcia M.; Ukleja A.; Ustyuzhanin A.; Uwer U.; Vacca C.; Vagnoni V.; Valenti G.; Vallier A.; Vazquez Gomez R.; Vazquez Regueiro P.; Vázquez Sierra C.; Vecchi S.; Velthuis J.J.; Veltri M.; Veneziano G.; Vesterinen M.; Viaud B.; Vieira D.; Vieites Diaz M.; Vilasis-Cardona X.; Vollhardt A.; Volyanskyy D.; Voong D.; Vorobyev A.; Vorobyev V.; Voß C.; De Vries J.A.; Waldi R.; Wallace C.; Wallace R.; Walsh J.; Wandernoth S.; Wang J.; Ward D.R.; Watson N.K.; Websdale D.; Whitehead M.; Wicht J.; Wiedner D.; Wilkinson G.; Williams M.P.; Williams M.; Wilschut H.W.; Wilson F.F.; Wimberley J.; Wishahi J.; Wislicki W.; Witek M.; Wormser G.; Wotton S.A.; Wright S.; Wyllie K.; Xie Y.; Xing Z.; Xu Z.; Yang Z.; Yuan X.; Yushchenko O.; Zangoli M.; Zavertyaev M.; Zhang L.; Zhang W.C.; Zhang Y.; Zhelezov A.; Zhokhov A.; Zhong L.; Zvyagin A.The LHCb detector is a forward spectrometer at the Large Hadron Collider (LHC) at CERN. The experiment is designed for precision measurements of CP violation and rare decays of beauty and charm hadrons. In this paper the performance of the various LHCb sub-detectors and the trigger system are described, using data taken from 2010 to 2012. It is shown that the design criteria of the experiment have been met. The excellent performance of the detector has allowed the LHCb collaboration to publish a wide range of physics results, demonstrating LHCb's unique role, both as a heavy flavour experiment and as a general purpose detector in the forward region. © The Authors.Item Weak-Rupture Degree of Graphs(World Scientific Publishing Co. Pte Ltd, 2016) Aslan E.The rupture degree of a graph is a measure of the vulnerability of a graph. In this paper we investigate a refinement that involves the weak version of the parameter. The weak-rupture degree of a connected graph G is defined to be R(G) = max{ (G-S)-| S |-me(G-S): S V (G),(G-S) > 1 } where(G-S) is the number of the components of (G-S) and me(G-S) is the number of edges of the largest component of G-S. Like the rupture degree itself, this is a measure of the vulnerability of a graph, but it is more sensitive. This paper, the weak-rupture degree of some special graphs are obtained and some bounds of the weak-rupture degree are given. Moreover some results about the weak-rupture degree of graphs obtained by graph operations are given. © 2016 World Scientific Publishing Company.Item Neighbor Rupture Degree of Harary Graphs(World Scientific Publishing Co. Pte Ltd, 2016) Altundag F.N.; Bacak-Turan G.The vulnerability shows the endurance of the network until the communication collapse after the breakdown of certain stations or communication links. If a spy or a station is invaded in a spy network, then the adjacent stations are treacherous. A vulnerability parameter the neighbor rupture degree can be used to obtain the vulnerability of a spy network. The neighbor rupture degree of a noncomplete connected graph G is defined to be Nr(G) = max{w(G/S) - |S| - c(G/S): S SV (G),w(G/S) ≥ 1} where S is any vertex subversion strategy of G, w(G/S) is the number of connected components in G/S, and c(G/S) is the maximum order of the components of G/S. In this paper, the neighbor rupture degree of Harary graphs are obtained. © 2016 World Scientific Publishing Company.Item Regression Analysis Based Software Effort Estimation Method(World Scientific Publishing Co. Pte Ltd, 2016) Yücalar F.; Kilinc D.; Borandag E.; Ozcift A.Estimating the development effort of a software project in the early stages of the software life cycle is a significant task. Accurate estimates help project managers to overcome the problems regarding budget and time overruns. This paper proposes a new multiple linear regression analysis based effort estimation method, which has brought a different perspective to the software effort estimation methods and increased the success of software effort estimation processes. The proposed method is compared with standard Use Case Point (UCP) method, which is a well-known method in this area, and simple linear regression based effort estimation method developed by Nassif et al. In order to evaluate and compare the proposed method, the data of 10 software projects developed by four well-established software companies in Turkey were collected and datasets were created. When effort estimations obtained from datasets and actual efforts spent to complete the projects are compared with each other, it has been observed that the proposed method has higher effort estimation accuracy compared to the other methods. © 2016 World Scientific Publishing Company.Item Numerical Analysis of Mixed Convection of Nanofluids Inside a Vertical Channel(World Scientific Publishing Co. Pte Ltd, 2016) Akgül M.B.; Pakdemirli M.Laminar mixed convection of an Al2O3/water nanofluid inside a vertical channel is investigated numerically. Single-phase and two-phase Eulerian models are employed to analyze flow and thermal fields of the nanofluid in conjunction with the suitable expressions for the particle viscosity and effective particle thermal conductivity. The results of two-phase Eulerian model are compared with the single-phase model and with the published experimental data. Effects of the solid volume fraction, Reynolds number and Grashof number on the heat transfer performance of the nanofluid are investigated and discussed in detail. © 2016 World Scientific Publishing Company.Item NUMERICAL ANALYSIS of TEMPERATURE, SCREWING MOMENT and THRUST FORCE USING FINITE ELEMENT METHOD in BONE SCREWING PROCESS(World Scientific Publishing Co. Pte Ltd, 2017) Erdem M.; Gok K.; Gokce B.; Gok A.In this study, the bone screwing process carried out with M3.5 cortex screw for stabilization after reduction of femur shaft fracture was investigated both experimentally and numerically. The numerical analyses were performed based on the finite element method using Deform-3D software. The friction, material model, the loading and boundary conditions were exactly identified for finite element analyses. An analytic model and software were developed, which calculate the process parameters such as screwing power and thrust power, heat transfer coefficients in order to determine the temperature distributions occurring in the screw and bone material (sawbones) during screwing process. As a result, the screwing moment and thrust force values decrease with increase of spindle speed. On the contrary, temperature values of screw and sawbones increase with increase of spindle speed. A good consistency between the results obtained from both experimental and numerical simulations was found during the bone screwing process. © 2017 World Scientific Publishing Company.Item Neighbor Rupture Degree of Transformation Graphs Gxy-(World Scientific Publishing Co. Pte Ltd, 2017) Bacak-Turan G.; Oz E.A vulnerability parameter the neighbor rupture degree can be used to obtain the vulnerability of a spy network. The neighbor rupture degree of a noncomplete connected graph G is defined to be (Equation presented) where S is any vertex subversion strategy of G, w(G/S) is the number of connected components in G/S, and c(G/S) is the maximum order of the components of G/S. In this study, the neighbor rupture degree of transformation graphs G-, G+-, G-+- and G++- of path graphs, cycle graphs, wheel graphs, complete graphs and complete bipartite graphs are obtained. © 2017 World Scientific Publishing Company.Item A Numerical Approach Technique for Solving Generalized Delay Integro-Differential Equations with Functional Bounds by Means of Dickson Polynomials(World Scientific Publishing Co. Pte Ltd, 2018) Kürkçü O.K.; Aslan E.; Sezer M.; Ilhan O.In this study, we have considered the linear classes of differential-(difference), integro-differential-(difference) and integral equations by constituting a generalized form, which contains proportional delay, difference, differentiable difference or delay. To solve the generalized form numerically, we use the efficient matrix technique based on Dickson polynomials with the parameter-α along with the collocation points. We also encode the useful computer program for susceptibility of the technique. The residual error analysis is implemented by using the residual function. The consistency of the technique is analyzed. Also, the numerical results illustrated in tables and figures are compared. © 2018 World Scientific Publishing Company.Item A comparison between edge neighbor rupture degree and edge scattering number in graphs(World Scientific Publishing Co. Pte Ltd, 2018) Kürkçü Ö.K.; Aslan E.The vulnerability measure of a graph or a network depends on robustness of the remained graph, after being exposed to any intervention or attack. In this paper, we consider two edge vulnerability parameters that are the edge neighbor rupture degree and the edge scattering number. The values of these parameters of some specific graphs and their graph operations are calculated. Thus, we analyze and compare which parameter is distinctive for the different type of graphs by using tables. © 2018 World Scientific Publishing Company.Item On a new modified fractional analysis of Nagumo equation(World Scientific Publishing Co. Pte Ltd, 2019) Saad K.M.; Deniz S.; Baleanu D.In this work, a new modified fractional form of the Nagumo equation has been presented and deeply analyzed. Using the Caputo-Fabrizio and Atangana-Baleanu time-fractional derivatives, classical Nagumo model is transformed to a new fractional version. The modified equation has been solved by using the homotopy analysis transform method. The convergence analysis has been also examined with the help of the so-called h-curves and average residual error. Comparing the obtained approximate solution with the exact solution leaves no doubt believing that the proposed technique is very efficient and converges toward the exact solution very rapidly. © 2019 World Scientific Publishing Company.Item Computer Aided Finite Element Simulation of the Developed Driller System for Bone Drilling Process in Orthopedic Surgery(World Scientific Publishing Co. Pte Ltd, 2019) Gok K.; Gok A.; Kisioglu Y.Heat reveals during the bone drilling operations in orthopedic surgery because of friction between bone and surgical drill bit. The heating causes extremely important damages in bone and soft tissues. The heating has a critical threshold and it is known as 47C. If bone temperature value exceeds 47°C, osteonecrosis occurs in bones and soft tissues. Many factors such as surgical drill bit geometry and material, drilling parameters, coolant has important roles for the temperature rise. Many methods are used to decrease the temperature rise. The most effective method among them is to use the coolant internally. Numeric simulations of a new driller system to avoid the overheating during the orthopedic operating processes were performed in this study. The numerical simulation with/without coolant was also performed using the finite element based software. Computer aided simulation studies were used to measure the bone temperatures occurred during the bone drilling processes. The outcomes from the simulations were compared with the experimental results. A good temperature level agreement between the experimental results and FEA simulations was found during the bone drilling process. © 2019 World Scientific Publishing Company.Item Low-temperature nitriding behavior of compressive deformed AISI 316Ti austenitic stainless steels(World Scientific Publishing Co. Pte Ltd, 2019) Kahraman F.; Gençer G.M.; Kahraman A.D.; Yolcu C.; Kahraman H.The effects of compressive cold deformation under the quasi-static loads on the nitride formation, nitride layer growth and surface hardness properties were researched in this study. Martensite structure did not form in AISI 316Ti stainless steel as a result of quasi-static deformation. Diffusion layer did not form in all nitrided samples. Both the deformed and undeformed samples have only compound layer on the surfaces at the low-temperature nitriding conditions (400°C, 7h). According to the X-ray diffraction (XRD), energy-dispersive spectroscopy (EDS) and electron probe microanalysis (EPMA) results, S-phase and chromium nitride (CrN) were formed in the compound layers of the deformed samples. However, CrN did not form in the compound layer of the undeformed sample. The optical microscope (OM) results showed that the compressive cold deformation increased the nitrogen diffusion rate and led to thicker nitrided layer than the undeformed sample under the same plasma-nitriding conditions. All nitrided layers presented higher microhardness values (∼1200HV) when compared with the untreated sample hardness. It was also verified that the deformation amount did not affect significantly the nitrided layer hardness. © 2019 World Scientific Publishing Company.Item Weak and strong domination in thorn graphs(World Scientific Publishing Co. Pte Ltd, 2020) Durgun D.D.; Lökçü B.Let G = (V,E) be a graph and u,v V. A dominating set D is a set of vertices such that each vertex of G is either in D or has at least one neighbor in D. The minimum cardinality of such a set is called the domination number of G, γ(G). u strongly dominates v and v weakly dominates u if (i) uv E and (ii) deg u ≥deg v. A set D V is a strong-dominating set, shortly sd-set, (weak-dominating set, shortly wd-set) of G if every vertex in V-D is strongly (weakly) dominated by at least one vertex in D. The strong (weak) domination number γs(γw) of G is the minimum cardinality of an sd-set (wd-set). In this paper, we present weak and strong domination numbers of thorn graphs. © 2020 World Scientific Publishing Company.