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RISS 인기검색어
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- 저자 : Fuxing Zong (검색결과 2 건)
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Hanming Fang,Aishe Shui,Fuxing Zong,Yuheng Wu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.10
Aiming at the problem of extracting steady-state data automatically and rapidly from the process data which contains outliers, a rapid steady-state data extracting method fusing outliers detection based on automatic piecewise curve fitting is proposed. Firstly, the method carries out outliers detection according to local deviation and replaces it with grey theory. Then the noise is minimized through sliding mean filter and the quasi-steady-state data is extracted rapidly by involved rules. Lastly, the quasi-steady-state data is further judged by automatic piecewise curve fitting. The simulation test shows that the proposed method can not only eliminate the effect of outliers and noise, but also extract the steady-state data conforming to human’s experience quickly and efficiently.
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Wei Peng,Jie Liu,Wei Peng,Chenxu Li,Fuxing Zong,Wensi Xu,Xing Zhang 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.8
Heterogeneous catalysts with low cost, environmentally friendly, highly effective and ready separation from aqueous solution are highly desirable. Magnetic CuO-Fe3O4 nanoparticles, a type of non-toxic bimetallic transition metal oxide, is a promising heterogeneous catalyst for activation of peroxymonosulfate (PMS) to generate reactive oxygen species (ROS) that has not been previously investigated. In this study, the activation of PMS by CuO-Fe3O4 nanoparticles was evaluated using the degradation of 4-chlorophenol as a model reaction. Several critical factors such as pH, catalyst dosage and PMS concentration were investigated. CuO-Fe3O4/PMS system demonstrated a wide effective pH range to degrade 4-chlorophenol, namely 5.5 to 9.5. With the increase of the catalyst dosage, the degradation efficiency of 4-chlorophenol appeared to increase first and then decrease, that the inflection point was 0.5 g/L. Elevated PMS concentration obviously improved the decomposition of 4-chlorophenol; however, the plateau was reached when the PMS concentration was 8mM. Further increase in PMS concentration would not significantly improve the removal efficiency. Through examining the effects of scavengers and electron spin resonance (ESR) analyses, CuO-Fe3O4 nanoparticles were proven to activate PMS through a non-radical and radical pathway to generate singlet oxygen, sulfate radicals and hydroxyl radicals. Based on results, CuO-Fe3O4 nanoparticles were effective, environmentally friendly and low cost catalysts for efficient activation of PMS. These features make CuO-Fe3O4 nanoparticles a readily available heterogeneous catalyst to activate PMS for refractory organic pollutants degradation in advanced oxidation processes (AOPs).
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