Enformasyon Teknolojileri
https://hdl.handle.net/20.500.12469/2669
Enformasyon Teknolojileri Bölümüne ait koleksiyonunu listeler.
Sat, 27 Nov 2021 12:29:25 GMT
20211127T12:29:25Z

On the inverse pointsource problem of the poisson equation
https://hdl.handle.net/20.500.12469/1687
On the inverse pointsource problem of the poisson equation
Yılmaz, Melek; Şengül, Metin Y.; Geçkinli, Melih
In this work a basic inverse heat conduction problem of a simple 2D model with steady state heat source is taken into view. The physical problem is for a square region with uniform thermophysical properties and a point heat source of unit magnitude. To obtain boundary data temperature probes are placed at the midpoints of the sides of the square domain. The objective of the inverse problem is to estimate the coordinates of the point source with the least amount of data. Initially the inverse problem is analyzed to determine the main causes that render the problem ill conditioned. As for the solution among the methods that has been tried so far the best results are obtained from a backpropagating ANN with fourprobe data. When white Gaussian noise is added to the measurements no catastrophic failure has been observed.
Sat, 01 Jan 2005 00:00:00 GMT
https://hdl.handle.net/20.500.12469/1687
20050101T00:00:00Z

Electromagnetic interactions of heavy ions at small impact parameters and lepton pair productions
https://hdl.handle.net/20.500.12469/1540
Electromagnetic interactions of heavy ions at small impact parameters and lepton pair productions
Güçlü, Mehmet Cem; Yılmaz Şengül, Melek
In peripheral collisions the strong electromagnetic fields are produced since the fully stripped heavy ions moves at ultrarelativistic velocities. Lepton pairs especially the electronpositron pairs are the result of this collisions. At the Relativistic Heavy Ion Collider (RHIC) and the Large Hadron Collider (LHC) virtual photons produce many particles such as electronpositron pairs heavy lepton (muons and tauons) pairs magnetic monopoles Wpairs bquark pairs and possibly the Higgs. At small impact parameters the colliding nuclei make peripheral collisions photon fluxes are very large and these are responsible for the multiple photonuclear interactions. Free pair productions bound free pair productions and nuclear Coulomb excitations are important examples of such interactions and these processes play important roles in the beam luminosity at RHIC and LHC. Here we obtained bound free electronpositron pair production with nuclear breakup for heavy ion collisions at RHIC and LHC.
Sat, 01 Jan 2011 00:00:00 GMT
https://hdl.handle.net/20.500.12469/1540
20110101T00:00:00Z

Double branch outage modeling and its solution using differential evolution method
https://hdl.handle.net/20.500.12469/1501
Double branch outage modeling and its solution using differential evolution method
Ceylan, Oǧuzhan; Ozdemir, Aydogan; Daǧ, Hasan
Power system operators need to check the system security by contingency analysis which requires power flow solutions repeatedly. AC power flow is computationally slow even for a moderately sized system. Thus fast and accurate outage models and approximated solutions have been developed. This paper adopts a single branch outage model to a double branch outage one. The final constrained optimization problem resulted from modeling is then solved by using differential evolution method. Simulation results for IEEE 30 and 118 bus test systems are presented and compared to those of full AC load flow in terms of solution accuracy. © 2011 IEEE.
Sat, 01 Jan 2011 00:00:00 GMT
https://hdl.handle.net/20.500.12469/1501
20110101T00:00:00Z

Bayesian and Graph Theory Approaches to Develop Strategic Early Warning Systems for the Milk Market
https://hdl.handle.net/20.500.12469/625
Bayesian and Graph Theory Approaches to Develop Strategic Early Warning Systems for the Milk Market
Gürpınar, Furkan; Bisson, Christophe; Diner, Öznur Yaşar
This paper presents frameworks for developing a Strategic Early Warning System allowing the estimatation of the future state of the milk market. Thus this research is in line with the recent call from the EU commission for tools which help to better address such a highly volatile market. We applied different multivariate time series regression and Bayesian networks on a predetermined map of relations between macro economic indicators. The evaluation of our findings with root mean square error (RMSE) performance score enhances the robustness of the prediction model constructed. Finally we construct a graph to represent the major factors that effect the milk industry and their relationships. We use graph theoretical analysis to give several network measures for this social network; such as centrality and density.
Thu, 01 Jan 2015 00:00:00 GMT
https://hdl.handle.net/20.500.12469/625
20150101T00:00:00Z