Documents disponibles écrits par cet auteur

Gamma-ray spectrum analysis of chang'E-1 for lunar detection / Xu HongKun in Transactions of the ASME . Journal of engineering for gas turbines and power, Vol. 133 N° 5 (Mai 2011) 

Public ISBD [article]  in Transactions of the ASME . Journal of engineering for gas turbines and power > Vol. 133 N° 5 (Mai 2011) . - 04 p. Titre : Gamma-ray spectrum analysis of chang'E-1 for lunar detection Type de document : texte imprimé Auteurs : Xu HongKun, Auteur ; Fang Fang, Auteur ; Ni Shijun, Auteur Année de publication : 2012 Article en page(s) : 04 p. Note générale : Génie Mécanique Langues : Anglais (eng) Mots-clés : Gamma-ray  applications  Radioactivity  measuring  apparatus Index. décimale : 620.1 Essais des matériaux. Défauts des matériaux. Protection des matériaux Résumé : Gamma-ray spectrum analysis was essential for radioactive environmental monitoring, and it had been widely used in many areas of nuclear engineering. However, for the low-energy region of gamma-ray spectrum, weak peaks were contained in the fast-decreasing background, so it was difficult to extract characteristic information from original spectra. In order to get a better analytic result based on wavelet methods in frequency domain, we had processed the gamma-ray spectrometer data of Chang'E-1 and well extracted some useful information of spectral characteristic peaks. Then, we preliminarily mapped the distribution of net peak counts for potassium on lunar surface, which indirectly reflected the distribution of elemental abundance. At last, we compared our analytic result with that of Apollo and Lunar Prospector and found some consistencies and differences. DEWEY : 620.1 ISSN : 0742-4795 En ligne : http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JETPEZ00013 [...] [article] Gamma-ray spectrum analysis of chang'E-1 for lunar detection [texte imprimé] / Xu HongKun, Auteur ; Fang Fang, Auteur ; Ni Shijun, Auteur . - 2012 . - 04 p. Génie Mécanique Langues : Anglais (eng) in Transactions of the ASME . Journal of engineering for gas turbines and power > Vol. 133 N° 5 (Mai 2011) . - 04 p. Mots-clés : Gamma-ray  applications  Radioactivity  measuring  apparatus Index. décimale : 620.1 Essais des matériaux. Défauts des matériaux. Protection des matériaux Résumé : Gamma-ray spectrum analysis was essential for radioactive environmental monitoring, and it had been widely used in many areas of nuclear engineering. However, for the low-energy region of gamma-ray spectrum, weak peaks were contained in the fast-decreasing background, so it was difficult to extract characteristic information from original spectra. In order to get a better analytic result based on wavelet methods in frequency domain, we had processed the gamma-ray spectrometer data of Chang'E-1 and well extracted some useful information of spectral characteristic peaks. Then, we preliminarily mapped the distribution of net peak counts for potassium on lunar surface, which indirectly reflected the distribution of elemental abundance. At last, we compared our analytic result with that of Apollo and Lunar Prospector and found some consistencies and differences. DEWEY : 620.1 ISSN : 0742-4795 En ligne : http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JETPEZ00013 [...]

A Novel integrated approach to the enhanced production of polyhydrobutyrate with mixed culture in activated sludge / Fang Fang in Industrial & engineering chemistry research, Vol. 49 N° 16 (Août 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 16 (Août 2010) . - pp. 7478–7483 Titre : A Novel integrated approach to the enhanced production of polyhydrobutyrate with mixed culture in activated sludge Type de document : texte imprimé Auteurs : Fang Fang, Auteur ; Guo-Ping Sheng, Auteur ; Han-Qing Yu, Auteur Année de publication : 2010 Article en page(s) : pp. 7478–7483 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Biomass Résumé : Polyhydrobutyrate (PHB) production from fatty acids by activated sludge is mainly influenced by the ratio of initial substrate concentration (S0) to initial biomass concentration (X0), ratio of chemical oxygen demand to nitrogen (COD/N), and aeration strength. In this work the PHB production by activated sludge was evaluated and enhanced using an integration of the response surface methodology (RSM) and a novel machine learning method, that is, support vector regression (SVR) coupled with the accelerating genetic algorithm (AGA). The results demonstrated that the SVR−AGA model was superior over the RSM model. With the SVR−AGA approach, a maximum PHB yield of 185.48 mg PHB/g VSS under the optimum conditions of S0/X0 of 0.286, COD/N of 144, and aeration intensity 0.004 m3/(L·h) was estimated. The verification experiment confirmed that the measured optimum PHB yield was close to that estimated by using the SVR−AGA approach. This work indicates that an integration of the SVR and AGA methods was an appropriate and effective approach for evaluating and enhancing the PHB production process by mixed cultures like activated sludge. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100297y [article] A Novel integrated approach to the enhanced production of polyhydrobutyrate with mixed culture in activated sludge [texte imprimé] / Fang Fang, Auteur ; Guo-Ping Sheng, Auteur ; Han-Qing Yu, Auteur . - 2010 . - pp. 7478–7483. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 16 (Août 2010) . - pp. 7478–7483 Mots-clés : Biomass Résumé : Polyhydrobutyrate (PHB) production from fatty acids by activated sludge is mainly influenced by the ratio of initial substrate concentration (S0) to initial biomass concentration (X0), ratio of chemical oxygen demand to nitrogen (COD/N), and aeration strength. In this work the PHB production by activated sludge was evaluated and enhanced using an integration of the response surface methodology (RSM) and a novel machine learning method, that is, support vector regression (SVR) coupled with the accelerating genetic algorithm (AGA). The results demonstrated that the SVR−AGA model was superior over the RSM model. With the SVR−AGA approach, a maximum PHB yield of 185.48 mg PHB/g VSS under the optimum conditions of S0/X0 of 0.286, COD/N of 144, and aeration intensity 0.004 m3/(L·h) was estimated. The verification experiment confirmed that the measured optimum PHB yield was close to that estimated by using the SVR−AGA approach. This work indicates that an integration of the SVR and AGA methods was an appropriate and effective approach for evaluating and enhancing the PHB production process by mixed cultures like activated sludge. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100297y