TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article Citation - WoS: 17Citation - Scopus: 19Lebesgue-Stieltjes Measure on Time Scales(Scientific Technical Research Council Turkey-Tubitak, 2009-01-01) Deniz, Ash; Ufuktepe, ÜnalThe theory of time scales was introduced by Stefan Hilger in his Ph. D. thesis in 1988, supervised Bernd Auldbach, in order to unify continuous and discrete analysis [5]. Measure theory oil time scales was first constructed by Guseinov [4], then further studies were made by Guseinov-Bohner [1], Cabada-Vivero [2] and Rzezuchowski [6]. In this article, we adapt the concept of Lebesgue-Stieltjes measure to time scales. We define Lebesgue-Stieltjes Delta and del-measures and by using these measures, we define ail integral adapted to time scales, specifically Lebesgue-Stieltjes Delta-integral. We also establish the relation between Lebesgue-Stieltjes measure and Lebesgue-Stieltjes Delta-measure, consequently between Lebesgue-Stieltjes integral and Lebesgue-Stieltjes Delta-integral.Article Citation - WoS: 11Citation - Scopus: 14Making Sense of Turkey's Air and Missile Defense Merry-Go(Center Foreign Policy & Peace Research, 2019) Egeli, SitkiAt some point during 2013, Turkey's political authority began to treat the in-country development and production of long-range air and missile defense systems as a priority. Soon after, they announced their decision to favor a Chinese offer that came complete with licensed production and the promise of technology transfer. Yet, with this decision came NATO's objections and challenges around integration and information security. The 2015 decision to rollback the pro-China decision, and opt instead for the indigenous development of air and missile defense systems (in close conjunction with a foreign technological and industrial partner) was triggered by Turkey's disillusion with the content of China's technology transfer package. Subsequently, this new partner became a team comprising France and Italy; Turkish industry tied itself to this team in developing Europe's next-generation missile defense capability. Then came the Turkish government's 2017 decision to purchase off-the-shelf, standalone S-400 systems from Russia. This decision was an anomaly, and had all the characteristics of a top-down decision cycle running afoul of technical, operational, and industrial criteria. Turkey's political figures have justified the S-400 order by citing the benefits of in-country production, access to technologies, not to mention the West's refusal to sell comparable systems; but these justifications have been refuted by the Russian side and/or in discordant statements by Turkish institutions, authorities, and political figures themselves.Article Citation - WoS: 3Citation - Scopus: 2Norms as Negotiation Resource: the Empowerment of the European Parliament in the Lisbon Treaty(Uluslararasi Iliskiler Konseyi Dernegi, 2012) Burgin, AlexanderDespite diverging preferences concerning the role of the European Parliament in the institutional architecture of the European Union, the EU member states have accepted a significant increase of its power in the Lisbon Treaty This paper argues that bargaining power alone cannot explain this result. Instead, it postulates the importance of normative pressure: arguments based on shared norms of democratic governance at the national level add legitimacy to the preferences of the supporters of a parliamentarization of the EU and mobilize social pressure on opponents of the empowerment of the ER The impact of norms as negotiation resource is demonstrated in an analysis of three controversies in the European Convention: the appointment and budget competences of the EP and the role of national parliaments.Article Nato's Altering Energy Security Perception: the Possible Position of Turkey(Uluslararasi Iliskiler Konseyi Dernegi, 2012) Biresselioglu, Mehmet EfeIn the aftermath of the 1970s energy crisis, the globe has realized the possibility of energy scarcity. As a result, the term energy security has emerged in governmental agendas throughout the globe, especially in the NATO members. From that time, energy security became an important issue in NATO, considering the economic committee, industrial planning, planning in response to terrorism, defence planning for the supply of the oil and civil emergency planning. Though, it remained as an integral part of these activities, rather than a part of a consistent policy or a comprehensive approach. However, with the transformation of the alliance and increasing member states due to the end of Cold War, the range of the security concerns has widened. This change perceived as more of a comprehensive security provider, including energy. Therefore, energy security has become a major concern for the alliance due to increasing prices, increasing demand, supply security, terrorism and technical disruptions from natural disasters. Starting with Riga summit and followed by Bucharest, Strasbourg-Kehl and finally in the alliance's new Strategic Concept at Lisbon, it acknowledged as a crucial issue for the alliance. Therefore, this article seeks to address the NATO's new Energy Security perception, broadening with contemporary energy security understanding. Moreover, it identifies the possible contribution and impact of Turkey, a NATO member and aims to be an energy bridge within the East-West energy corridor.Article Citation - WoS: 3Citation - Scopus: 3A Reduced Computational Matrix Approach With Convergence Estimation for Solving Model Differential Equations Involving Specific Nonlinearities of Quartic Type(Scientific Technical Research Council Turkey-Tubitak, 2020-01-20) Kürkçü, ÖmÜr KıvançThis study aims to efficiently solve model differential equations involving specific nonlinearities of quartic type by proposing a reduced computational matrix approach based on the generalized Mott polynomial. This method presents a reduced matrix expansion of the generalized Mott polynomial with the parameter-alpha, matrix equations, and Chebyshev-Lobatto collocation points. The simplicity of the method provides fast computation while eliminating an algebraic system of nonlinear equations, which arises from the matrix equation. The method also scrutinizes the consistency of the solutions due to the parameter-alpha. The oscillatory behavior of the obtained solutions on long time intervals is simulated via a coupled methodology involving the proposed method and Laplace-Pade technique. The convergence estimation is established via residual function. Numerical and graphical results are indicated to discuss the validity and efficiency of the method.Article Enlarging Multiword Expression Dataset by Co-Training(Scientific Technical Research Council Turkey-Tubitak, 2018-09-28) Kumova Metin, Senem; Metin, Senem KumovaIn multiword expressions (MWEs), multiple words unite to build a new unit in language. When MWE identification is accepted as a binary classification task, one of the most important factors in performance is to train the classifier with enough number of labelled samples. Since manual labelling is a time-consuming task, the performances of MWE recognition studies are limited with the size of the training sets. In this study, we propose the comparison-based and common-decision co-training approaches in order to enlarge the MWE dataset. In the experiments, the performances of the proposed approaches were compared to those of the standard co-training [1] and manual labelling where statistical and linguistic features are employed as two different views of the MWE dataset [2]. A number of tests with different settings were performed on a Turkish MWE dataset. Ten different classifiers were utilized in the experiments and the best performing classifier pair was observed to be the SMO-SMO pair. The experimental results showed that the common-decision co-training approach is an alternative to hand-labeling of large MWE datasets and both newly proposed approaches outperform the standard co-training [2] when the training set is to be enlarged in MWE classification.Article Citation - Scopus: 1Performance Analysis and Feature Selection for Network-Based Intrusion Detection With Deep Learning(Scientific Technical Research Council Turkey-Tubitak, 2021) Caner, Serhat; Erdogmus, Nesli; Erten, Y. MuratAn intrusion detection system is an automated monitoring tool that analyzes network traffic and detects malicious activities by looking out either for known patterns of attacks or for an anomaly. In this study, intrusion detection and classification performances of different deep learning based systems are examined. For this purpose, 24 deep neural networks with four different architectures are trained and evaluated on CICIDS2017 dataset. Furthermore, the best performing model is utilized to inspect raw network traffic features and rank them with respect to their contributions to success rates. By selecting features with respect to their ranks, sets of varying size from 3 to 77 are assessed in terms of classification accuracy and time efficiency. The results show that recurrent neural networks with a certain level of complexity can achieve comparable success rates with state-of-the-art systems using a small feature set of size 9; while the average time required to classify a test sample is halved compared to the complete set.Article A Convergent Algorithm for a Cascade Network of Multiplexed Dual Output Discrete Perceptrons for Linearly Nonseparable Classification(Tubitak Scientific & Technical Research Council Turkey, 2014) Genc, Ibrahim; Guzelis, CuneytIn this paper a new discrete perceptron model is introduced. The model forms a cascade structure and it is capable of realizing an arbitrary classification task designed by a constructive learning algorithm. The main idea is to copy a discrete perceptron neuron's output to have a complementary dual output for the neuron, and then to select, by using a multiplexer, the true output, which might be 0 or 1 depending on the given input. Hence, the problem of realization of the desired output is transformed into the realization of the selector signal of the multiplexer. In the next step, the selector signal is taken as the desired output signal for the remaining part of the network. The repeated applications of the procedure render the problem into a linearly separable one and eliminate the necessity of using the selector signal in the last step of the algorithm. The proposed modification to the discrete perceptron brings universality with the expense of getting just a slight modification in hardware implementation.Article Citation - WoS: 2Citation - Scopus: 2Model-Based Robust Chaotification Using Sliding Mode Control(Tubitak Scientific & Technical Research Council Turkey, 2014) Kocaoglu, Aykut; Guzelis, CuneytChaos is a complex behavior of dynamical nonlinear systems that is undesirable in most applications and should be controlled; however, it is desirable in some situations and should be generated. In this paper, a robust chaotification scheme based on sliding mode control is proposed for model based chaotification. A continuous time single input observable system is considered such that it is subject to parameter uncertainties, nonlinearities, noises, and disturbances, which are all additive to the input and can be modeled as an unknown function but bounded by a known function. The designed dynamical state feedback control law forces the system to match a reference chaotic system in finite time irrespective of the mentioned uncertainties, noises, and disturbances, as provided by the developed sliding mode control scheme. Simulation results are provided to illustrate the robustness of the proposed scheme against parameter uncertainties and noises. The results are compared with those of other model-based methods and Lyapunov exponents are calculated to show whether the closed-loop control systems exhibit chaotic behavior or not.Article Citation - WoS: 11Citation - Scopus: 15Legendre Wavelet Solution of Neutral Differential Equations With Proportional Delays(Springer Heidelberg, 2019-04-01) Gumgum, Sevin; Ersoy Özdek, Demet; Özaltun, Gökçe; Bildik, Necdet; Özdek, Demet Ersoy; Kürkçü, Ömür Kıvanç; Sezer, Mehmet; Savaşaneril, Nurcan BaykuşThe aim of this paper is to solve neutral differential equations with proportional delays by using Legendre wavelet method. Using orthonormal polynomials is the main advantage of this method since it enables a decrease in the computational cost and runtime. Some examples are displayed to illustrate the efficiency and accuracy of the proposed method. Numerical results are compared with various numerical methods in literature and show that the present method is very effectual in solving neutral differential equations with proportional delays.