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    Wyświetlanie 1-4 z 4
    Tytuł:
    Radiation Damage Centers in Cholesteryl Heptanoate
    Autorzy:
    Sayin, U.
    Can, C.
    Türkkan, E.
    Dereli, Ö.
    Ozmen, A.
    Yüksel, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/1399506.pdf
    Data publikacji:
    2013-07
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    61.80.-x
    Opis:
    Cholesterol takes part significantly in many biological mechanisms and as important component for manufacture of bile acids, steroid hormones, and several fat-soluble vitamins. To determine magnetic properties of cholesteryl heptanoate $(C_{34}H_{58}O_2)$ which is an important cholesteryl ester in human life and new technology, the single crystals of cholesteryl heptanoate were grown by slow evaporation of concentrated ethyl acetate solution and the grown single crystals were irradiated at room temperature with $\text{}^{60}Co \gamma $ ray. The radical produced by gamma irradiation has been investigated in the range of temperatures 123-330 K for different orientations of the crystal in a magnetic field by EPR. Radiation damage center was attributed to radical $ĊH_α CH_{2β}$. The g factor and hyperfine coupling constants have slight dependence on temperature and evident dependence on the orientation of the magnetic field. Determined g factor and hyperfine coupling constants for the radical $ĊH_α CH_{2β}$ were found to be anisotropic with the average values $g_{av}=2.0036$, $(a_{CH_\alpha})_{av}=14.52 G, (a_{CH_{2\beta}})_{av}=25.78 G$.
    Źródło:
    Acta Physica Polonica A; 2013, 124, 1; 70-73
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    235U isotopic characterization of natural and enriched uranium materials by using multigroup analysis (MGA) method at a defined geometry using different absorbers and collimators
    Autorzy:
    Yücel, H.
    Yeltepe, E.
    Yüksel, A. Ö.
    Dikmen, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/146510.pdf
    Data publikacji:
    2015
    Wydawca:
    Instytut Chemii i Techniki Jądrowej
    Tematy:
    nuclear safeguards
    enrichment measurements
    uranium
    multigroup analysis
    enrichment meter principle
    Opis:
    Characterization of nuclear materials is an important topic within the context of nuclear safeguards, homeland security and nuclear forensics. This paper deals with the performance of multigroup gamma-ray analysis (MGA) method using the X- and γ-rays in the 80–130 keV region and enrichment meter principle (EMP) based on the analysis of 185.7 keV peak for a certain geometry using different absorbers and collimators. The results from MGA and those of EMP are compared. In particular, the effect of aluminum/lead absorbers and lead collimator on the enrichment determination of 235U in natural and low enriched samples is investigated in a given source- -detector geometry. The optimum diameter/height ratio for the Pb-collimator is found to be Dc/Hc = 1.4–1.6 in the chosen geometry. In order to simulate the container walls, ten different thicknesses of Al-absorbers of 141 to 840 mg·cm–2 and six different thicknesses of Pb-absorbers of 1120–7367 mg·cm–2 are interposed between sample and detector. The calibration coefficients (% enrichment/cps) are calculated for each geometry. The comparison of the MGA and EMP methods shows that the enrichment meter principle provides more accurate and precise results for 235U abundance than those of MGA method at the chosen geometrical conditions. The present results suggest that a two-step procedure should be used in analyses of uranium enrichment. Firstly MGA method can be applied in situ and then EMP method can be used at a defined geometry in laboratory.
    Źródło:
    Nukleonika; 2015, 60, No. 3, part 2; 615-620
    0029-5922
    1508-5791
    Pojawia się w:
    Nukleonika
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Investigation of CNC Turning Parameters by Using a Vortex Tube Cooling System
    Autorzy:
    Yüksel, S.
    Onat, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1400564.pdf
    Data publikacji:
    2015-04
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    81.20.Wk
    Opis:
    Controlling the heat, generated during the cutting process, is an important factor in improving the quality of the product and performance of the machining. A vortex tube was employed to evaluate the effects of cooling on the turning parameters. Various cutting parameters (100 m/min, 250 m/min and 400 m/min) together with various cooling temperatures (-4°C, 8°C and 20°C) were considered to find surface roughness, cutting force and cutting temperature. Response surface methodology was used to optimize the experimental parameters. The best attainable surface roughness value was found to be 0.77 μm Ra, under the conditions of 0.15 mm/rev feed, 400 m/min cutting speed, -4°C (with vortex tube) cutting temperature and 1.2 mm tool edge radius. Cutting forces were not affected by the temperature changes. The difference was negligible and as small as 1%. The minimum cutting temperature was 74.17°C, which was obtained under the machining conditions of 0.25 mm feed, 250 m/min cutting speed -4°C (with vortex tube) cutting temperature and 0.8 mm tool edge radius.
    Źródło:
    Acta Physica Polonica A; 2015, 127, 4; 881-885
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design of a Machine Learning Based Predictive Analytics System for Spam Problem
    Autorzy:
    Yüksel, A.
    Çankaya, Ş.
    Üncü, İ.
    Powiązania:
    https://bibliotekanauki.pl/articles/1031624.pdf
    Data publikacji:
    2017-09
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    spam
    predictive analytics
    machine learning
    trust identities
    Opis:
    Spamming is the act of abusing an electronic messaging system by sending unsolicited bulk messages. Filtering of these messages is merely another line of defence and does not prevent spam messages from circulating in email systems. This problem causes users to distrust email systems, suspect even legitimate emails and leads to substantial investment in technologies to counter the spam problem. Spammers threaten users by abusing the lack of accountability and verification features of communicating entities. To contribute to the fight against spamming, a cloud-based system that analyses the email server logs and uses predictive analytics with machine learning to build trust identities that model the email messaging behavior of spamming and legitimate servers has been designed. The system constructs trust models for servers, updating them regularly to tune the models. This study proposed that this approach will not only minimize the circulation of spam in email messaging systems, but will also be a novel step in the direction of trust identities and accountability in email infrastructure.
    Źródło:
    Acta Physica Polonica A; 2017, 132, 3; 500-504
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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