Agency: European Commission | Branch: FP7 | Program: BSG-SME | Phase: SME-1 | Award Amount: 1.47M | Year: 2008
The 24-month ELEVATE project proposes a hybrid training and certification environment, which integrates the application software to be taught in the pedagogical-documented educational process, allowing the software development SMEs to deliver innovative e-training services and to address (more than adequately) the needs of their business partners and customers. Thus, the ELEVATE project addresses the business needs of the software development SMEs participating in the project in the field of application software training through their business partners and customers networks. As the software development SMEs have restricted resources to allocate in research and development (R&D) activities with regard to secondary corporate objectives, including e-training in the produced application software products, the proposed ELEVATE project provides participating SMEs with potentials and financial support to outsource a critical mass of research and technological development (RTD) activities to industrial companies and universities with larger research capacity and proved, successful experience in R&D, European-wide initiatives. The ELEVATE RTD performers will undertake significant research activities on behalf of the participating SMEs and deliver technology know-how in the fields of e-learning, educational content aggregation and material creation, learning management system and application software integration, and pedagogic standards and models. Led by CAS Software AG, the consortium consists of 8 partners from 7 EC member and associated countries (Germany, Belgium, Swiss, Greece, Cyprus, Italy and Turkey), including software development SMEs, industrial companies and universities.
Ahmedov H.,Institute for Research in Fundamental Sciences |
Aliev A.N.,Dogus University
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2012
We study algebraic type N spacetimes in the extended new massive gravity (NMG), considering both the Born-Infeld model (BI-NMG) and the model of NMG with any finite order curvature corrections. We show that for these spacetimes, the field equations of BI-NMG take the form of the massive (tensorial) Klein-Gordon type equation, just as it happens for ordinary NMG. This fact enables us to obtain the type N solution to BI-NMG, utilizing the general type N solution of NMG, earlier found in our work. We also obtain type N solutions to NMG with all finite order curvature corrections and show that, in contrast to BI-NMG, this model admits the critical point solutions, which are counterparts of "logarithmic" AdS pp-waves solutions of NMG. © 2012 Elsevier B.V.
Kumru M.,Dogus University |
Kumru Pi.Yi.,Kocaeli University
Applied Soft Computing Journal | Year: 2013
Failure mode and effects analysis (FMEA) is one of the well-known techniques of quality management that is used for continuous improvements in product or process designs. While applying this technique, determining the risk priority numbers, which indicate the levels of risks associated with potential problems, is of prime importance for the success of application. These numbers are generally attained from past experience and engineering judgments, and this way of risk assessment sometimes leads to inaccuracies and inconsistencies during priority numbering. Fuzzy logic approach is preferable in order to remove these deficiencies in assigning the risk priority numbers. In this study, a fuzzy-based FMEA is to be applied first time to improve the purchasing process of a public hospital. Results indicate that the application of fuzzy FMEA method can solve the problems that have arisen from conventional FMEA, and can efficiently discover the potential failure modes and effects. It can also provide the stability of process assurance. © 2012 Elsevier B.V.
Uykan Z.,Dogus University
IEEE Transactions on Neural Networks and Learning Systems | Year: 2013
The Hopfield neural network (HNN) has been widely used in numerous different optimization problems since the early 1980s. The convergence speed of the HNN (already in high gain) eventually plays a critical role in various real-time applications. In this brief, we propose and analyze a generalized HNN which drastically improves the convergence speed of the network, and thus allows benefiting from the HNN capabilities in solving the optimization problems in real time. By examining the channel allocation optimization problem in cellular radio systems, which is NP-complete and in which fast solution is necessary due to time-varying link gains, as well as the associative memory problem, computer simulations confirm the dramatic improvement in convergence speed at the expense of using a second nonlinear function in the proposed network. © 2012 IEEE.
Kumru M.,Dogus University
Applied Soft Computing Journal | Year: 2013
Quality control systems focus on maintaining standards in manufactured products. To improve the homogeneity of batches received by final users and to detect manufacturing defaults, a visual control stage is integrated into production line before the packing operation. At this stage, the products are inspected, mostly by human eye, for their obvious external defects; e.g., chips, cracks, scratches, holes and pitting, lumps, spots, notches, and glazing. This task is often referred to as visual inspection which is important to categorize the final products into quality-constant batches. Prototypes are of invaluable help while inspecting the visual attributes of products. Visual quality of products is assessed with respect to these standard units and some quality ratings are made there on the results. However, assessing visual quality is somewhat an ambiguous and troublesome work. Therefore, it will be helpful to utilize a decision making technique, such as fuzzy logic, to facilitate and improve the process. This paper addresses first to the significance of visual inspection and assessment of visual quality of industrial products, and second, gives a unique application of visual quality assessment of vitreous china ceramic sanitary wares by using fuzzy logic method. © 2013 Elsevier B.V. All rights reserved.
Duman E.,Dogus University |
Ozcelik M.H.,Yapi Kredi Bankasi
Expert Systems with Applications | Year: 2011
In this study we develop a method which improves a credit card fraud detection solution currently being used in a bank. With this solution each transaction is scored and based on these scores the transactions are classified as fraudulent or legitimate. In fraud detection solutions the typical objective is to minimize the wrongly classified number of transactions. However, in reality, wrong classification of each transaction do not have the same effect in that if a card is in the hand of fraudsters its whole available limit is used up. Thus, the misclassification cost should be taken as the available limit of the card. This is what we aim at minimizing in this study. As for the solution method, we suggest a novel combination of the two well known meta-heuristic approaches, namely the genetic algorithms and the scatter search. The method is applied to real data and very successful results are obtained compared to current practice. © 2010 Elsevier Ltd. All rights reserved.
Gozgor G.,Dogus University
Journal of International Trade and Economic Development | Year: 2014
Recent and ongoing literature strongly implies the existence of a significant and robust impact of trade openness (liberalisation) and globalisation on unemployment, particularly in developed economies. This paper empirically investigates the impacts of four different measures of trade openness and globalisation on the unemployment rate in an unbalanced panel framework. The analysis focuses on the G7 countries: Canada, France, Germany, Italy, Japan, the United Kingdom (UK), and the United States (US). Robust empirical findings from panel data estimates demonstrate that, along with macroeconomic indicators and market size, all the measures of trade openness and globalisation are significantly and negatively associated with the unemployment rate. Therefore, we conclude that the continuation of the globalisation process instead of protectionism is of great importance in reducing the unemployment rate in developed economies. © 2013, © 2013 Taylor & Francis.
Apaydin G.,Zirve University |
Sevgi L.,Dogus University
IEEE Transactions on Antennas and Propagation | Year: 2010
Surface wave propagation along multi-mixed-paths with irregular terrain over spherical Earth in two-dimension (2D) is discussed. For the first time in the literature, sea-land-sea (island) transition problem including non-flat (hilly) islands is investigated systematically. A finite element method based multi-mixed path surface wave virtual propagation predictor tool FEMIX is developed for this purpose. FEMIX, tested and calibrated against analytical ray-mode reference models accommodated with the Millington curve fitting approaches, is shown to be capable of modeling propagation along sea surface having multiple hilly islands over MF (300 kHz 3 MHz) and HF (3 30 MHz) bands. © 2006 IEEE.
Yildirim B.,Dogus University
IEEE Antennas and Wireless Propagation Letters | Year: 2011
A compact, multiband, planar, and low-profile wideband code division multiple access (WCDMA)/WLAN antenna is presented in this letter. A metallized dielectric loading technique using a low-cost FR4-type material has been implemented to achieve a small footprint of 18 × 21 mm 2 instead of using expensive ceramics. The WCDMA/WLAN antenna achieves multiband operation with good impedance matching and radiation behavior. Antenna measurements are presented to validate the simulations. © 2006 IEEE.
Agency: European Commission | Branch: FP7 | Program: MC-IRG | Phase: FP7-PEOPLE-2009-RG | Award Amount: 100.00K | Year: 2011
Congenital Heart Defects (CHD) are defects in the heart at birth affecting 1% of the population. Majority of CHD do not have genetic origins suggesting that abnormal forces inside the developing heart due to altered blood flow is a major source. Recent evidence via ultrasonography on suspected fetal hearts with cardiac defects has documented the worsening effects of cardiac malformations over gestation. This has motivated the development of in utero interventions for CHD where the potential exists for restoring blood flow inside fetal heart, which would lead to rescuing altered morphogenesis before birth. Progress to date has been limited because of the inadequacy of embryonic animal studies investigating how disease is progressing under altered blood flow and how defects are rescued under restored blood flow. Avian embryos are ideal to study CHD because of the resemblance between human and avian hearts. The applicant has recently generated techniques for visualizing blood flow inside chicken embryo hearts and computationally simulating this flow to quantify blood flow related forces inside these hearts. In this proposal he will be applying these techniques for a well established animal model for a severe CHD, hypoplastic left heart syndrome, to dissect the contribution of blood flow related forces on this disease. He will also evaluate the rescue potential of restoring blood flow for this disease. The results will highlight hemodynamics environment in the heart for progression and potentially rescue for a severe CHD. The techniques will also provide a rationalistic methodology for researchers studying heart disease. This will be the first study on the cardiovascular developmental bioengineering field in the associated country (Turkey). Technical guidance from applicants previous mentors in USA will enable timely adaptation of new developments in the field. Collaborations with other groups working in this field in Europe will contribute to European excellence