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- 저자 : Guney Ibrahim (검색결과 2 건)
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Ibrahim Keser,Ahter D. Toraman,Gulay Ozbilim,Kenan Guney,Guven Luleci 연세대학교의과대학 2008 Yonsei medical journal Vol.49 No.6
Purpose: A larynx squamous cell carcinoma (LSCC) is one of the most common forms of cancer and may exhibit various complex karyotypes. Materials and Methods: We used comparative genomic hybridization (CGH) to analyze DNA gains and losses in 15 squamous cell carcinomas that consisted of 4 glottic, 10 supraglottic, and 1 transglottic localization samples. Results: The majority of the chromosomal alterations detected were gains: 3 samples of LSCCs revealed high level amplification, while 6 samples displayed gains in various chromosomal regions (17p, 3p, 4p, 5p, 6q, 8p, 9p, 14q, 18p and Xq). One sample was found to have losses (chromosomes 15q and 22q) and 5 had normal CGH profiles. Conclusion: Many of these gained regions (4p, 5p, 8p, 10q, 18q and Xq) were novel sites, which may harbor oncogene(s) that potentially play an important role in squamous cell tumorigenesis and progression at supraglottic localizations.
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Artificial NARX Neural Network Model of Wind Speed: Case of Istanbul-Avcilar
Calik Huseyin,Ak Namik,Guney Ibrahim 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.5
Wind farms have a focus role in environmentally friendly energy production. There are short-term estimates of wind speed in planning energy production in wind power plants. In this article, we analyzed the wind speed in the Istanbul Avcılar region by an artifi cial neural network method (ANN) and regression method. One of the methods commonly used in estimation processes is Nonlinear Autoregressive Exogenous (NARX). We divide the data into three parts 70%, 15%, and 15%, respectively, for learning, validation, and testing. We used the Levenberg–Marquardt (LM) algorithm for data network training. We compared the predicted wind speed with the measured and tested values. We used MATLAB software in the analysis of the model. We obtained system outputs and regression models of wind speed with artifi cial neural network simulations. Besides, we calculated the eff ect sizes.
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