Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Yildirim, Ozal(10)
- Bulut, Hasan(9)
- Atangana, A(8)
- Baskonus, HM(8)
- Bulut, H(8)
- Demir, Yakup(8)
- Hammouch, Z(8)
- Karakose, Mehmet(8)
- Mekkaoui, T(8)
- Baskonus, Haci Mehmet(7)
- Yilmazer, Merve(7)
- Orhan, Ahmet(5)
- Agoujil, S(4)
- Aslan, Serpil(4)
- Baloglu, Ulas Baran(4)
- Belgacem, FB(4)
- Boydak, Merve(4)
- Caliskan, Abuzer(4)
- Cattani, C(4)
- Celik, Erkan(4)
- Kaya, Mehmet(4)
- Talo, Muhammed(4)
- Çil, Zeynel Abidin(4)
- Özceylan, Eren(4)
- Barros, J.(3)
- Benedicenti, L.(3)
- Cachim, P.(3)
- Drobne, S.(3)
- El Naggar, H.(3)
- Eristi, Belkis(3)
- Eristi, Huseyin(3)
- Gunay, Mihriban(3)
- Kljajic Borstar, M.(3)
- Koseoglu, Murat(3)
- Mete, Süleyman(3)
- Sivasundaram, S(3)
- Uyanik, Hakan(3)
- Yalcin, Beyza Furtana(3)
- Yilmaz, Mehmet(3)
- Zadnik Stirn, L.(3)
Yayınlar
- BildiriYalnız künye2017New Complex and Hyperbolic Function Solutions to the Generalized Double Combined Sinh-Cosh-Gordon Equation
Baskonus, Haci Mehmet; Sivasundaram, S
In this study, we have applied the improved Bernoulli sub-equation function method to the generalized double combined Sinh-Cosh-Gordon equation. This method gives new analytical solutions such as complex and hyperbolic function solutions to the problem considered in this paper. Then, we plot the three and two dimensional surfaces of analytical solutions by using Wolfram Mathematica
AtıfWoS42OpenAlex48
İncele - BildiriAçık Erişim2017On Some Complex Aspects of the (2+1)-dimensional Broer-Kaup-Kupershmidt System
Bulut, Hasan; Isik, Hilal Arslanoglu; Sulaiman, Tukur Abdulkadir; Atangana, A; Bulut, H; Hammouch, Z; Baskonus, HM; Mekkaoui, T; Belgacem, FB
The improved Bernoulli sub-equation function method is used in extracting some new exponential function solutions to the (2+1)-dimensional Broer-Kaup-Kupershmidt system. It is of vital effort to look for more solutions of the (2+1)-dimensional Broer-Kaup-Kupershmidt system, which are very helpful for coastal and civil engineers to apply the nonlinear water models in a harbor and coastal design. All the obtained solutions satisfied the (2+1)-dimensional Broer-Kaup-Kupershmidt system. The two-and three-dimensional shapes of all the obtained solutions in this paper are also presented. All the computations and the graphics plots in this study are carried out with the aid of the Wolfram Mathematica 9.
AtıfWoS29OpenAlex31İncele - BildiriAçık Erişim2017Numerical simulations to the nonlinear model of interpersonal Relationships with time fractional derivative
Gencoglu, Muharrem Tuncay; Baskonus, Haci Mehmet; Bulut, Hasan; Sivasundaram, S
The main aim of this manuscript is to obtain numerical solutions for the nonlinear model of interpersonal relationships with time fractional derivative. The variational iteration method is theoretically implemented and numerically conducted only to yield the desired solutions. Numerical simulations of desired solutions are plotted by using Wolfram Mathematica 9.
AtıfWoS30OpenAlex47İncele - BildiriAçık Erişim2017Some Prototype Results of the Symmetric Regularized Long Wave Equation Arising in Nonlinear Ion Acoustic Waves
Isik, Erdem; Bulut, Hasan; Atas, Sibel Sehriban; Atangana, A; Bulut, H; Hammouch, Z; Baskonus, HM; Mekkaoui, T; Belgacem, FB
In this manuscript, we consider the Bernoulli sub-equation function method for obtaining new exponential prototype structures to th Symmetric Regularized Long Wave mathematical model. We obtain new results by using this technique. We plot two-and three-dimensional surfaces of the results by using Wolfram Mathematica 9. At the end of this manuscript, we submit a conclusion in the comprehensive manner.
- BildiriAçık Erişim2017Some Novel Exponential and Complex Structural Properties of the Fisher Equation Arising in Mathematical Bioscience
Bulut, Hasan; Atas, Sibel Sehriban; Baskonus, Had Mehmet; Atangana, A; Bulut, H; Hammouch, Z; Baskonus, HM; Mekkaoui, T; Belgacem, FB
In this manuscript, we consider the Bernoulli sub-equation function method for obtaining new exponential and complex prototype structures to the Fisher Equation arising in Mathematical biosciences. We obtain new results by using the technique for new properties of model and for more understanding of properties of model. We plot two-and three-dimensional surfaces of the results by using Wolfram Mathematica 9. At the end of this manuscript, we submit a conclusion in the comprehensive manner.
AtıfWoS3OpenAlex3İncele - BildiriAçık Erişim2017Continuous ultrasonic thickness measurement technology
Pronin, Vitaliy; Shkatov, Petr; Sandulyak, Anna; Baskonus, Haci Mehmet; Atangana, A; Bulut, H; Hammouch, Z; Baskonus, HM; Mekkaoui, T; Belgacem, FB
The article describes the technologies and means of ultrasonic thickness measurement for pipeline base metal and welded joints using phased array antennas with linear scanning by TOFD and DAF methods. According to the thickness measurement data provided through specialized software, maps are obtained of the control objects thickness. The measurement results are given using these technologies, as well as the prospects for these methods development.
AtıfOpenAlex2İncele - BildiriYalnız künye2017Link Prediction Methods in Bipartite Networks
Aslan, Serpil; Kaya, Mehmet; Adali, E
Nowadays, social networks, whose application areas are increasing day by day; Such as data mining, protein-gene interaction networks, online social networks, transport networks, academic information networks, and telecommunications networks. Many real-world complex networks have a naturel bipartite structure. In bipartite networks, which have become the focus of many researchers who have been dealing with social network analysis in recent years, connection estimation methods are the basic methods used to understand the structure of these networks. This study is a survey work that describes the connection in a bipartite network that is suitable for the nature of today's huge data networks. In this study, a bipartite network interface is an introductory guide for researchers who plan to work on this subject by examining the internal links and bipartite network projection methods.
AtıfWoS4İncele - BildiriYalnız künye2017An Identity-Based Encryption Scheme with Performance Optimization for Privacy Preservation in Smart Grid Communication
Baloglu, Ulas Baran; Demir, Yakup; Paleologu, C; McClellan, S
Smart grids are expected to replace existing electrical grids with advanced mechanisms and intelligent entities, which have excessive data processing and communication tasks. It is important for the sensitive consumer data, such as meter readings, to be secured at these intelligent entities. Novel digital communication mechanisms should be developed to protect privacy. Existing smart grid architectures do not have sufficient and efficient security functionalities for data transmission. In this paper, we propose an Identity-Based Encryption scheme, which is more promising than the classical form regarding performance and security. The proposed scheme focuses on the data structure of meter readings and optimizes this structure to achieve a better privacy preservation. This novel structure further improves the performance of the scheme by reducing communication overhead caused by public key creation and distribution operations, as evaluations demonstrated.
AtıfWoS1İncele - BildiriYalnız künye2017Forecasting daily patient visits in an emergency department by ga-ann hybrid approach
Pekel, Engin; Gul, Muhammet; Celik, Erkan; Drobne, S.; Zerovnik, J.; Zadnik Stirn, L.; Kljajic Borstar, M.
An Emergency Department (ED) plays a crucial role in the health system by providing acute care for patients who attend hospital without prior appointment. An accurate forecasting of patient visits in EDs contributes to health care decision makers to better allocate ED human resources and medical equipment. In this paper, a hybrid genetic algorithm–artificial neural network (GA–ANN) approach is developed. The forecasting performance of the hybrid approach is obtained using the real-world data set collected from a public hospital in Istanbul, Turkey. The hybrid GA–ANN model is shown to perform well in terms of forecasting accuracy. In order to contribute to the current knowledge, this paper is a novel attempt of applying GA-ANN to model ED patient arrivals, and the results can be used to aid in strategic decision-making on ED resource planning in response to predictable arrival variations.
AtıfScopus4
İncele - BildiriYalnız künye2017An efficient heuristic algorithm for solving robotic assembly line balancing problem
Çil, Zeynel Abidin; Mete, Süleyman; Özceylan, Eren
In the assembly system, robots provide to increase flexibility of the system and automation. The balancing robotic assembly line (RALB) problem consists two main works, which are not only assigning task to station, but also allocation robots in stations. Because each robots can perform different performance on the same tasks due to their capabilities. In this study, iterative beam search algorithm is developed to minimize cycle time. The performance of the algorithm outperforms other algorithm in the literature.
AtıfScopus2OpenAlex1İncele - BildiriAçık Erişim2017Economic Analysis of Hybrid Renewable Energy Systems with V2G Integration Considering Battery Life
Baloglu, Ulas Baran; Demir, Yakup; Caetano, N.S.; Faculty of Engineering University of Porto (FEUP), LEPABE, Rua Dr. Roberto Frias, Porto; Polytechnic Institute of Porto (IPP), CIETI, School of Engineering (ISEP), Rua Dr. Antonio Bernardino de Almeida 431, Porto; Felgueiras, M.C.; Forment, M.A.
Hybrid renewable energy systems considered as candidate solutions for environmental problems. Solar energy and wind energy are important components of these systems, but both of them cause fluctuations in the grid. Batteries of Electric Vehicles (EVs) can be connected to the grid to create an ancillary resource. These systems known as Vehicle to Grid (V2G) and they could be the most suitable solution to the fluctuation problems of renewable resources. In this paper, economic analysis of V2G is investigated from various perspectives. The findings of this study indicate that battery aging costs of a V2G system can be minimized with an intelligent energy management system, and these systems are both economically and environmentally better alternatives to fossil-fuelled generators.
AtıfScopus15WoS13OpenAlex16İncele - BildiriYalnız künye2017An ann and ga approach for demand forecasting and routing for cash management
Gumus, Alev Taskin; Celik, Erkan; Ömerustaoğlu, Furkan; Drobne, S.; Zerovnik, J.; Zadnik Stirn, L.; Kljajic Borstar, M.
Forecasting of cash demand and cash transportation are critical processes for all bank asynchronous transfer modes (ATMs). In this paper, an application is presented to accurate forecasting of cash demand and minimizing the transportation cost. In the first step of the proposed application, artificial neural network is implemented for forecasting the amount of withdrawn and deposited money from an ATM in one day. Hence, a more accurate way is provided to determine the amount of money that will be loaded into the ATM, and opportunity costs are minimized. Then, we applied genetic algorithm for minimizing the transportation cost of cash deposit to the ATMs.
- BildiriYalnız künye2017A heuristic approach for joint design of assembly and disassembly line balancing problem
Mete, Suleyman; Çil, Zeynel Abidin; Özceylan, Eren
Balancing assembly and disassembly on parallel line together will positively affect to remanufacture production systems. In this study, two lines, which is one for assembly and other for disassembly, are considered as parallel line configuration. Parallelization of lines helps decrease the need for workforce significantly. Therefore, we propose heuristic approach based on ant colony optimization (ACO) for solving the balancing parallel line with minimizing number of workstations.
AtıfScopus2OpenAlex3İncele - BildiriYalnız künye2017Removal of copper from aqueous solution using perlite
Tanaydin, Mehmet Kayra; Tanaydin, Zümra Bakici; Ince, Muharrem; Demlrkiran, Nizamettin; Akdemir, A.O.; Ekinci, A.; Han, I.; Oztekin, A.; Set, E.; Dadasoglu, F.
The wastewaters containing organic and inorganic pollutants after many industrial processes such as metal plating, mining, textile, alloy, battery and industrial chemicals, are often discharged to environment. Heavy metals among these pollutants have highly stable, toxic, non-degradable and carcinogenic characters. They affect not only ecological system, but also human health and many life forms. Therefore, these contaminants should be eliminated or reduced to allowable levels before releasing to environment. Most of heavy metals have toxic character even at low concentrations of about 0.1-0.3ppm. Treatment technologies such as filtration, ion exchange, precipitation, electrodeposition, reverse osmosis, sedimentation, and adsorption have been applied for removal of heavy metals from aqueous solutions. Adsorption is one of the most common and widely applied methods to eliminate the metal ions from waste solutions because of its simplicity and cost effectiveness. Activated carbon, clay minerals, ion exchange resins and various agricultural residues can be used as adsorbent materials in this process [1-3].
AtıfScopus1WoS1OpenAlex3İncele - BildiriYalnız künye2017Optimizing the location-allocation problem of bike sharing stations: A case study in gaziantep university campus
Özceylan, Eren; Mete, Süleyman; Çil, Zeynel Abidin; Drobne, S.; Zerovnik, J.; Zadnik Stirn, L.; Kljajic Borstar, M.
A growing number of cities are implementing bike-sharing programs to increase bicycle use. One of the key factors for the success of such programs is the location of bike stations in relation to potential demand. In this paper, potential locations of bike sharing stations in Gaziantep University campus are investigated to provide optimal utilization for users. To do so, first of all, 20 demand points and 20 potential bike stations are determined. Second, set covering mathematical model is handled to determine coverage capability of potential bike stations. Finally, P-center and P-median mathematical models are applied to set up potential stations and to assign demand points to the opened stations so that the total walking distance can be minimized. Computational experiments prove that our approach can find new potential bike stations which cover all demand points.
AtıfScopus5İncele - BildiriYalnız künye2017A fuzzy queueing based model for controlling power demand of electric vehicle charging
Baloglu, Ulas Baran; Demir, Yakup; Napoli, C.; University of Catania, Department of Mathematics and Informatics, Viale Andrea Doria 6, Catania; Wozniak, M.; Silesian University of Technology, Institute of Mathematics, Kaszubska 23, Gliwice; Damasevicius, R.; Kaunas University of Technology, Software Engineering Department, Studentu 50 415, Kaunas; Tramontana, E.
The rapid penetration of electric vehicles may lead to peak problems in a traditional grid so that some of the smart grid research is focused on charging strategies for electric vehicles. The charging problem is suitable for using a queue structure, and fuzzy queueing can be implemented for this purpose. This paper presents a fuzzy queueing based model, which can also control the power demand of electric vehicle charging. A charging model should guarantee that all charging requirements can be satisfied before vehicles leaving the charging stations. Simulation results exhibit that the proposed model decreases average waiting time of vehicles and also the proposed model utilize charging stations better than a traditional queueing model.
- BildiriAçık Erişim2017Face recognition based on convolutional neural network
Coskun, Musab; Ucar, Aysegul; Yildirim, Ozal; Demir, Yakup
Face recognition is of great importance to real world applications such as video surveillance, human machine interaction and security systems. As compared to traditional machine learning approaches, deep learning based methods have shown better performances in terms of accuracy and speed of processing in image recognition. This paper proposes a modified Convolutional Neural Network (CNN) architecture by adding two normalization operations to two of the layers. The normalization operation which is batch normalization provided acceleration of the network. CNN architecture was employed to extract distinctive face features and Softmax classifier was used to classify faces in the fully connected layer of CNN. In the experiment part, Georgia Tech Database showed that the proposed approach has improved the face recognition performance with better recognition results.
AtıfScopus250OpenAlex295İncele - BildiriAçık Erişim2017Novel wave surfaces to the fractional Zakharov-Kuznetsov-Benjamin-Bona-Mahony equation
Baskonus, Haci Mehmet; Yel, Gülnur; Bulut, Hasan; Simos, T.E.; Ch., Tsitouras
In this work, we apply the improved Bernoulli sub-equation function method to the space-time fractional Zakharov-Kuznetsov-Benjamin-Bona-Mahony equation. We obtain new travelling wave solutions to this model for values of M, n and m. We have obtained hyperbolic function solutions that describe some physical phenomena. Two- and three-dimensional surfaces of travelling wave solutions are plotted by using Wolfram Mathematica 9. At the end of this study, a conclusion is given by mentioning important findings.
AtıfScopus21WoS19OpenAlex21İncele - BildiriAçık Erişim2017New wave simulations to the (3+1)-dimensional modified Kdv-Zakharov-Kuznetsov equation
Baskonus, Haci Mehmet; Koç, Dilara Altan; Gülsu, Mustafa; Bulut, Hasan; Simos, T.E.; Ch., Tsitouras
In this study, we apply an effective method which is improved Bernoulli sub-equation function method (IBSEFM) to the (3+1)-dimensional modified KdV-Zakharov-Kuznetsov equation. It gives some new wave simulations such as complex and exponential structures. We check up whether all structures verify the (3+1)-dimensional modified KdV-Zakharov-Kuznetsov model. Then, we plot three and two dimensional surfaces of obtained solutions by using Wolfram Mathematica 9.
AtıfScopus2OpenAlex2İncele - BildiriYalnız künye2017Retrieval of electromagnetic properties of metamaterials with weak-coupling
Hasar, Ugur Cem; Buldu, Gul; Barroso, Joaquim Jose
Metamaterials (MMs) are engineered material with electromagnetic properties not commonly seen by natural materials such as negative refraction and near-zero permittivity. These materials have interesting applications ranging from perfect lens and electromagnetic cloaks to leaky-wave antennas and shifters. For such applications, electromagnetic properties of MMs are needed to be known. In this study, we propose a waveguide method for accurate electromagnetic parameter retrieval of weakly-coupled MM slabs (the wavevector is normal to the plane of the metallic inclusions). To achieve our goal, new expressions for effective permittivity and permeability as well as the magnetoelectric coupling coefficient are derived. For validation of our waveguide method, we used the simulated scattering parameters of a MM slab composed of split-ring-resonator unit cells by using a commercial 3D electromagnetic simulation program.
AtıfScopus1OpenAlex3İncele