Research published in scientific conferences for 2017
Research published in scientific conferences
|
Year |
Abstract |
Name |
Research |
conference |
No |
| 2017 | In this paper, we experimentally investigated power and S/N of error-free underwater wireless optical communication (UWOC) system over 7m link in laboratory tap water. Results show that salt and Maalox content decreases the received power |
Asisst.prof.Dr mukaram Abdlmutalab Asisst.prof .dr mohammed hallem |
Enhancement of Lithium Niobate Nanophotonic Structures Via Spin-Coating Technique for Optical Waveguides Application | International Conference on Applied Photonics and Electronics | 1 |
|
This paper focuses on the structure and optical properties of Lithium niobate (LN) deposited on quartz substrate by sol-gel method. The solution was prepared at different molarity concentration and annealed at 500 °C. The LNs were analyzed by UV-visible, X-ray diffraction (XRD) and Scanning Electron Microscope (SEM). The results show that as the molar concentration increases, the films crystallization becomes more atomically distributed and the energy band gap approaches 4 eV. Transmission spectra were taken in the wavelength range of 400-1100 nm. Hexagonal structure was observed with good atoms distribution and homogeneous crystallization. There were two phases of LNs recorded in this work. |
Asisst.prof.Dr mukaram Abdlmutalab Asisst.prof .dr mohammed hallem Asisst.prof.Dr suad mahmood |
The Structure and Optical Properties of Lithium Niobate Grown on Quartz for Photonics Applicati | International Conference on Applied Photonics and Electronics | 2 | |
| Huge efforts have been put in the developing of diagnostic methods to skin cancer disease. In this paper, two different approaches have been addressed for detection the skin cancer in dermoscopy images. The first approach uses a global method that uses global features for classifying skin lesions, whereas the second approach uses a local method that uses local features for classifying skin lesions. The aim of this paper is selecting the best approach for skin lesion classification. The dataset has been used in this paper consist of 200 dermoscopy images from Pedro Hispano Hospital (PH2). The achieved results are; sensitivity about 96%, specificity about 100%, precision about 100%, and accuracy about 97% for globalization approach while, sensitivity about 100%, specificity about 100%, precision about 100%, and accuracy about 100% for Localization Approach, these results showed that the localization approach achieved acceptable accuracy and better than globalization approach for skin cancer lesions classification. |
Asisst.prof.Dr Razi jabar lecturer.Dr Abass AbdlAziz |
Evaluation Methodology between Globalization and Localization Features Approaches for Skin Cancer Lesions Classificatio | Journal of Physics: Conf. Series | 3 |
