این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Nonlinear Analysis and Applications، جلد ۱۴، شماره ۳، صفحات ۱۶۳-۱۷۳

عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله

عنوان انگلیسی Comparison processors spectral analysis concentrations for aromatic compounds using the application of mathematical models
چکیده انگلیسی مقاله Prolonged exposure to gases in enclosed spaces, can cause health problems that may not be easily eliminated, Several methods have been developed to determine the concentration of aromatic hydrocarbons. But these methods have certain limitations, which complicate the titration. Regression-based methods can be used using the software and applying numerical methods to the data obtained to determine the concentration of gases. The main idea of this paper: is to keep up with the ideal balance, and limit the deficiency of necessary to obtained from spectroscopic data, and the effect of mutilations presented by different noise decreases and autofluorescence background elimination algorithms was determined from the comparison data. And these changes ratios were in remove background fluorescence(benzene, toluene, xylene), for the (PolyFit) method they were 3% and 5% and 2%, and for the (ModPoly) method they were 1% and 2% and 2%, and for the gas processor method, they were 2% and 5% and 2 %, respectively. So it was noticed it has been noticed here that the proposed method (GasesProcessors) is better in terms of filter performance and autofluorescence background removal compared to other methods.
کلیدواژه‌های انگلیسی مقاله sensors, Aromatics hydrocarbons(BTX), Fluorescence, Polynomial FIT (Polyfit), GasesProcessors

نویسندگان مقاله Nadheer J. Mohammed |
Physics Department, Optoelectronics and Thin Films Laboratory, College of Science, Mustansiriyah University, Baghdad, Iraq

Zeyad Al-Ibadi |
College of Science for Women, University of Babylon, Babylon, Iraq

Al-Zubadi Sura |
Anesthesia Techniques Department, Al-Mustaqbal University College, Iraq


نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_7470_acdaa5f8e960c6b1171d0e861d983bb6.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات