Browsing by Author "Yazici, A"
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Conference Object Citation Count: 2Changing our educational institutions: transition from traditional to e-Learning programs(Ieee, 2004) Karakaya, Ziya; Karakaya, Z; Dalgarno, B; Altas, I; Computer EngineeringIn this. paper we examine basic elements of e-Learning, the features of the e-Learning model under implementation at Atilim University and the expected impact of the model on the organization of the institution. The paper also draws on examples at other institutions in discussing the issues that. form the dynamics of organizational change within Universities in the 21(st) century.Article Citation Count: 173E-govemment: A global view and an empirical evaluation of some attributes of citizens(Elsevier inc, 2005) Mıshra, Alok; Yazici, A; Mishra, A; Arifoglu, A; Software EngineeringThis paper reviews and discusses e-government (e-gov) issues in general, its global perspective, and then reports the findings of a survey concerning impact of gender and education amongst the e-gov users in Turkey. Although the impact of gender and education in the use of e-gov has long been attracting interests of academics, no quantitative research has ever been realized in this field in the country. The survey was conducted among e-gov users with different gender and level of education from different sectors such as ordinary citizens, government, and private sectors. According to the comparative analysis the use of e-gov content and services is pervasive and is closely linked to gender and level of education. (c) 2005 Elsevier Inc. All rights reserved.Article Citation Count: 45A neural network-based approach for calculating dissolved oxygen profiles in reservoirs(Springer London Ltd, 2003) Şentürk, Emine; Karaer, F; Gürbüz, H; Kivrak, E; Sentürk, E; Yazici, A; Department of Modern LanguagesA Neural Network (NN) modelling approach has been shown to be successful in calculating pseudo steady state time and space dependent Dissolved Oxygen (DO) concentrations in three separate reservoirs with different characteristics using limited number of input variables. The Levenberg-Marquardt algorithm was adopted during training. Pre-processing before training and post processing after simulation steps were the treatments applied to raw data and predictions respectively. Generalisation was improved and over-fitting problems were eliminated: Early stopping method was applied for improving generalisation. The correlation coefficients between neural network estimates and field measurements were as high as 0.98 for two of the reservoirs with experiments that involve double layer neural network structure with 30 neurons within each hidden layer. A simple one layer neural network structure with 11 neurons has yielded comparable and satisfactorily high correlation coefficients for complete data set, and training, validation and test sets of the third reservoir.Conference Object Citation Count: 0Romberg integration(Springer-verlag Berlin, 2003) Yazici, A; Ergenç, T; Altas, IHigher order approximations of an integral can be obtained from lower order ones in a systematic way. For 1-D integrals Romberg Integration is an example which is based upon the composite trapezoidal rule and the well-known Euler-Maclaurin expansion of the error. In this work, Mathematica is utilized to illustrate the method and the underlying theory in a symbolic fashion. This approach seems plausible for discussing integration in a numerical computing laboratory environment.Conference Object Citation Count: 2Symbolic polynomial interpolation using Mathematica(Springer-verlag Berlin, 2004) Yazici, A; Altas, I; Ergenc, TThis paper discusses teaching polynomial interpolation with the help of Mathematica. The symbolic power of Mathematica is utilized to prove a theorem for the error term in Lagrange interpolating formula. Derivation of the Lagrange formula is provided symbolically and numerically. Runge phenomenon is also illustrated. A simple and efficient symbolic derivation of cubic splines is also provided.