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Yayın Relative effects of marketing effectiveness dimensions on firm performance: An empirical analysis with a multi-industry sample(Bogazici Universitesi, 2009) Gül, Mısra ÇağlaThe aim of this study is to understand the influence of marketing operational efficiency and marketing system effectiveness on firm performance dimensions. Marketing operational efficiency and marketing system effectiveness are two dimensions of marketing effectiveness derived as a result of the exploratory factor analysis performed on the data. Firm performance dimensions used in the study are overall performance, ROI, percentage of new product sales, change in market share, and sales growth, all measured relative to competitors. Multiple respondent firm level data are collected through a survey of 74 firms operating in a variety of industries, resulting in 296 individual surveys. Findings indicate that marketing operational efficiency, a set of short-term, operational dimensions, positively influences all of the firm performance dimensions. On the other hand, marketing system effectiveness, measuring longer-term, strategic factors, does not have such an impact.Yayın Univariate margin tree(Springer, 2010) Yıldız, Olcay TanerIn many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin tree, where for each continuous attribute, the best split is found using convex optimization. Our simulation results on 47 datasets show that the novel margin tree classifier performs at least as good as C4.5 and LDT with a similar time complexity. For two class datasets it generates smaller trees than C4.5 and LDT without sacrificing from accuracy, and generates significantly more accurate trees than C4.5 and LDT for multiclass datasets with one-vs-rest methodology.Yayın An analysis of stability of a class of neutral-type neural networks with discrete time delays(Hindawi Publishing Corporation, 2013) Orman, Zeynep; Arik, SabriThe problem of existence, uniqueness, and global asymptotic stability is considered for the class of neutral-type neural network model with discrete time delays. By employing a suitable Lyapunov functional and using the homeomorphism mapping theorem, we derive some new delay-independent sufficient conditions for the existence, uniqueness, and global asymptotic stability of the equilibrium point for this class of neutral-type systems. The obtained conditions basically establish some norm and matrix inequalities involving the network parameters of the neural system. The main advantage of the proposed results is that they can be expressed in terms of network parameters only. Some comparative examples are also given to compare our results with the previous corresponding results and demonstrate the effectiveness of the results presented.Yayın Behavior of quantum fisher information of bell pairs under decoherence channels(Polish Acad Sciences Inst Physics, 2014-02) Özaydın, Fatih; Altıntaş, Azmi Ali; Buğu, Sinan; Yeşilyurt, CanQuantum Fisher information has recently been an essential tool for analyzing the phase sensitivity of the quantum states in various quantum tasks, requiring high precision, such as quantum clock synchronization, positioning and many applications which include quantum interferometers. Due to the interactions with the environment, all quantum systems are subject to various decoherence effects. Therefore the research on quantum Fisher information under decoherence has been recently attracting more attention. In this work, analyzing the quantum Fisher information, we study the phase sensitivity of bipartite quantum correlations, in particular four Bell pairs amplitude damping channels. For a specific Bell state we arrive at similar results of Greenberger-Horne-Zeilinger (GHZ) states (as expected). For the other three Bell states, we present our results which point the interesting behavior of quantum Fisher information with respect to the decoherence rate. We also find the regions where the quantum Fisher information exhibits discontinuities.Yayın A broadband microwave amplifier design by means of immittance based data modelling tool(IEEE, 2002) Kılınç, Ali; Pınarbaşı, Hacı; Şengül, Metin; Yarman, Bekir Sıddık BinboğaIn this paper a practical broadband microwave amplifier design algorithm is introduced utilizing the immittance data-modelling tool. In the course of design, first, the optimum input and output terminations for the active device are produced employing the real frequency technique. Then, these terminations are modelled utilizing the new immittance-modelling tool to synthesize the front-end and back-end matching networks. An example is included to exhibit the implementation of the proposed design algorithm to construct a single stage BJT amplifier over a wide frequency band. It is expected that the proposed design algorithm will find applications to realize wideband microwave amplifiers put on MMIC for mobile communication.Yayın Analysis of Nonlinear Dynamics of Neural Networks(Hindawi Publishing Corporation, 2013) Arik, Sabri; Park, Juhyun; Huang, Tingwen; Oliveira, José J[No abstract available]Yayın Afghanistan's security: Political process, state-building and narcotics(Wiley-Blackwell, 2008-06) Aras, Bülent; Toktaş, ŞuleEstablishing political authority and constructing a state instrument would increase trust, which would contribute to stability.1 The lack of political institutions necessary for stability encourages the interference of individuals and groups with "special" interests, at both the state and societal levels.2 Stability is not only a prerequisite for the development of the political process and security within the country; it is also a risk to security, as it would require the involvement of groups and factors in the political process that might hinder security itself. [...] in a setting where fierce security measures are needed, running security operations without supplying adequate security personnel and munitions is an absolute risk.48 CONCLUSION The long-term objective for Afghanistan is to strengthen the state structurally and to set mechanisms in place that would prevent it from working only for narrow or factional interests.Yayın Design science perspective on NFC research: Review and research agenda(Slovensko Drustvo Informatika, 2013) Aydın, Mehmet Nafiz; Özdenizci Köse, BüşraNear Field Communication (NFC), as one of the emerging and promising technological developments, provides means to short range contactless communication for mobile phones and other devices alike. NFC has become an attractive design science research area for many academicians due to its exploding growth and its promising applications and related services. A better understanding of the current status of NFC research is necessary to maintain the advancement of knowledge in NFC research and to identify the gap between theory and practice. In this paper, we present a literature review on NFC. To facilitate the analysis of the literature, we propose a research framework and organize the NFC literature into four major categories (theory and development, applications and services, infrastructure, ecosystem). We contend that due to the nature of NFC (industry high stakes, multidisciplinary research, artifacts development), the design science research paradigm serves an appropriate ground to investigate an extent to which relevance and rigor is achieved. By employing the proposed research framework and design science perspective, we set up a research agenda (research directions and promising research questions) which may help practitioners and academics to achieve a substantial progress in NFC.Yayın The general equation of motion via the special theory of relativity and quantum mechanics(2004) Yarman, Nuh TolgaHerein we present a whole new approach to the derivation of the Newton's Equation of Motion. This, with the implementation of a metric imposed by quantum mechanics, leads to the findings brought up within the frame of the general theory of relativity (such as the precession of the perihelion of the planets, and the deflection of light nearby a star). To the contrary of what had been generally achieved so far, our basis merely consists in supposing that the gravitational field, through the binding process, alters the "rest mass" of an object conveyed in it. In fact, the special theory of relativity already imposes such a change. Next to this fundamental theory, we use the classical Newtonian gravitational attraction, reigning between two static masses. We have previously shown however that the 1/r2 dependency of the gravitational force is also imposed by the special theory of relativity. Our metric is (just like the one used by the general theory of relativity) altered by the gravitational field (in fact, by any field the "measurement unit" in hand interacts with); yet in the present approach, this occurs via quantum mechanics. More specifically, the rest mass of an object in a gravitational field is decreased as much as its binding energy in the field. A mass deficiency conversely, via quantum mechanics yields the stretching of the size of the object in hand, as well as the weakening of its internal energy. Henceforth one does not need the "principle of equivalence" assumed by the general theory of relativity, in order to predict the occurrences dealt with this theory. Thus we start with the following interesting postulate, hi fact nothing else, but the law conservation of energy, though in the broader relativistic sense of the concept of "energy".Yayın Regularizing soft decision trees(Springer, 2013) Yıldız, Olcay Taner; Alpaydın, Ahmet İbrahim EthemRecently, we have proposed a new decision tree family called soft decision trees where a node chooses both its left and right children with different probabilities as given by a gating function, different from a hard decision node which chooses one of the two. In this paper, we extend the original algorithm by introducing local dimension reduction via L-1 and L-2 regularization for feature selection and smoother fitting. We compare our novel approach with the standard decision tree algorithms over 27 classification data sets. We see that both regularized versions have similar generalization ability with less complexity in terms of number of nodes, where L-2 seems to work slightly better than L-1.
