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.


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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.


Esit O.,Cyprus International University
Computer Assisted Language Learning | Year: 2011

This study investigated the effectiveness of an intelligent computer-assisted language learning (ICALL) program on Turkish learners' vocabulary learning. Within the scope of this research, an ICALL application with a morphological analyser (Your Verbal Zone, YVZ) was developed and used in an English language preparatory class to measure its effects on students' achievement in vocabulary acquisition as well as their attitudes towards such an ICALL environment. The study employed a pre-test-post-test control group design. The sample consisted of 42 low intermediate learners who were assigned to experimental and control groups. The independent samples t test was used to study the differences in continuous variables between the experiment and the control groups. The improvement in the vocabulary knowledge of the participants was measured as to two different aspects, i.e. morphological knowledge and the knowledge of words' definitions and usage. The results indicate that reading activities with YVZ have proved to have positive effects on both learners' vocabulary learning and their attitudes towards the use of an intelligent computer-assisted language learning application in the classroom. © 2011 Taylor & Francis.


Oker F.,Bahcesehir University | Ozyapc H.,Cyprus International University
Health Care Manager | Year: 2013

Traditional cost systems cause cost distortions because they cannot meet the requirements of today's businesses. Therefore, a new and more effective cost system is needed. Consequently, time-driven activity-based costing system has emerged. The unit cost of supplying capacity and the time needed to perform an activity are the only 2 factors considered by the system. Furthermore, this system determines unused capacity by considering practical capacity. The purpose of this article is to emphasize the efficiency of the time-driven activity-based costing system and to display how it can be applied in a health care institution. A case study was conducted in a private hospital in Cyprus. Interviews and direct observations were used to collect the data. The case study revealed that the cost of unused capacity is allocated to both open and laparoscopic (closed) surgeries. Thus, by using the time-driven activity-based costing system, managers should eliminate the cost of unused capacity so as to obtain better results. Based on the results of the study, hospital management is better able to understand the costs of different surgeries. In addition, managers can easily notice the cost of unused capacity and decide how many employees to be dismissed or directed to other productive areas. Copyright © 2013 Wolters Kluwer Health | Lippincott Williams & Wilkins.


Demirel H.,Eastern Mediterranean University | Anbarjafari G.,Cyprus International University
IEEE Transactions on Geoscience and Remote Sensing | Year: 2011

Satellite images are being used in many fields of research. One of the major issues of these types of images is their resolution. In this paper, we propose a new satellite image resolution enhancement technique based on the interpolation of the high-frequency subbands obtained by discrete wavelet transform (DWT) and the input image. The proposed resolution enhancement technique uses DWT to decompose the input image into different subbands. Then, the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new resolution-enhanced image by using inverse DWT. In order to achieve a sharper image, an intermediate stage for estimating the high-frequency subbands has been proposed. The proposed technique has been tested on satellite benchmark images. The quantitative (peak signal-to-noise ratio and root mean square error) and visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques. © 2011 IEEE.


Bashiry V.,Cyprus International University
Advances in High Energy Physics | Year: 2014

Exclusive Bc × → Dsνν¯ decay is studied in the framework of the three-point QCD sum rules approach. The two gluon condensate contributions to the correlation function are calculated and the form factors of this transition are found. The decay width and total branching ratio for this decay are also calculated. © 2014 V. Bashiry.


Anbarjafari G.,Cyprus International University
Eurasip Journal on Image and Video Processing | Year: 2013

In this article, a high performance face recognition system based on local binary pattern (LBP) using the probability distribution functions (PDFs) of pixels in different mutually independent color channels which are robust to frontal homogenous illumination and planer rotation is proposed. The illumination of faces is enhanced by using the state-of-the-art technique which is using discrete wavelet transform and singular value decomposition. After equalization, face images are segmented by using local successive mean quantization transform followed by skin color-based face detection system. Kullback-Leibler distance between the concatenated PDFs of a given face obtained by LBP and the concatenated PDFs of each face in the database is used as a metric in the recognition process. Various decision fusion techniques have been used in order to improve the recognition rate. The proposed system has been tested on the FERET, HP, and Bosphorus face databases. The proposed system is compared with conventional and the state-of-the-art techniques. The recognition rates obtained using FVF approach for FERET database is 99.78% compared with 79.60 and 68.80% for conventional gray-scale LBP and principle component analysis-based face recognition techniques, respectively. © 2013 Anbarjafari; licensee Springer.

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