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Nicosia, Cyprus

Cyprus International University is an English-language private university in Northern Cyprus. It is located in the capital, North Nicosia and was established in 1997. Wikipedia.

Demirel H.,Eastern Mediterranean University | Anbarjafari G.,Eastern Mediterranean University | Anbarjafari G.,Cyprus International University
IEEE Geoscience and Remote Sensing Letters | Year: 2010

In this letter, a satellite image resolution enhancement technique based on interpolation of the high-frequency subband images obtained by dual-tree complex wavelet transform (DT-CWT) is proposed. DT-CWT is used to decompose an input low-resolution satellite image into different subbands. Then, the high-frequency subband images and the input image are interpolated, followed by combining all these images to generate a new high-resolution image by using inverse DT-CWT. The resolution enhancement is achieved by using directional selectivity provided by the CWT, where the high-frequency subbands in six different directions contribute to the sharpness of the high-frequency details such as edges. The quantitative peak signal-to-noise ratio (PSNR) and visual results show the superiority of the proposed technique over the conventional bicubic interpolation, wavelet zero padding, and Irani and Peleg based image resolution enhancement techniques. © 2009 IEEE.

Abbasoglu S.,Cyprus International University
Energy Education Science and Technology Part A: Energy Science and Research | Year: 2011

The objective of this paper is to examine techno-economical and environmental feasibility of 1 MW grid connected solar photovoltaic (PV) power plant at three different cities of Northern Cyprus (NC). Long term solar radiation and sunshine duration data for Nicosia, Morphou and Rizokarpaso, are considered and analyzed to assess the distribution of solar radiation, sunshine duration, air temperature and humidity. Also the compatibility of meteorological parameters in NC with the safety operating conditions of PV modules is determined. In addition, two different solar panel mounting systems, fixed panels with 35° and two axis solar tracking system, are compared. The project viability analysis is performed using RETScreen version 4.0 software through electric energy production analysis, financial analysis, and green house gas (GHG) emission analysis. It is found that all of the sites considered through this study are feasible for a 1 MW solar PV power plant investment. However, Morphou offers highest profitability, energy production and GHG emission reduction. On the other hand, it is also observed that economical and environmental feasibility of these investments increases if two axis tracking system is used rather than mounting solar collectors on a fixed structure. Finally, the preliminary economic analysis recommends the implementation of PV technology in NC. © Sila Science.

Demirel H.,Eastern Mediterranean University | Anbarjafari G.,Cyprus International University
IEEE Transactions on Image Processing | Year: 2011

In this correspondence, the authors propose an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the input image are interpolated. The estimated high frequency subbands are being modified by using high frequency subband obtained through SWT. Then all these subbands are combined to generate a new high resolution image by using inverse DWT (IDWT). The quantitative and visual results are showing the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques. © 2006 IEEE.

Yurtkan K.,Cyprus International University | Demirel H.,Eastern Mediterranean University
Pattern Recognition Letters | Year: 2014

Automatic recognition of facial movements and expressions with high recognition rates is essential for human computer interaction. In this paper, we propose a feature selection procedure for improved facial expression recognition utilizing 3-Dimensional (3D) geometrical facial feature point positions. The proposed method classifies expressions in six basic emotional categories which are anger, disgust, fear, happiness, sadness and surprise. The most discriminative features are selected by the proposed method based on entropy changes during expression deformations of the face. Developed system uses Support Vector Machine (SVM) classifier organized in two levels. The system performance is evaluated on 3D facial expression database, BU-3DFE. The experimental results on classification performance are superior or comparable with the results of the recent methods available in the literature. © 2013 Elsevier B.V. All rights reserved.

Bashiry V.,Cyprus International University
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2011

The mass and decay constant of the ground state of spin-singlet bb̄ is calculated by using the QCD sum rules method. This meson is an axial vector P wave named hb(1P) meson with JP=1+. It is found that the mass of this meson is m=(9940±37)MeV, which is consistent with the recent experimental data by the Belle Collaboration. © 2011 American Physical Society.

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