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RISS 인기검색어
- 검색키워드
- 저자 : Jianfeng Tang (검색결과 4 건)
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Purification and Characterization of β-Agarase from Paenibacillus sp.
Jianfeng Mei,Zhongxiu Tang,Yu Yi,Hong Wang,Qi Wang,Guoqing Ying 한국식품과학회 2014 Food Science and Biotechnology Vol.23 No.5
β-Agarase produced by Paenibacillus sp. WL(agarase WL) was purified using a combination of ammoniumsulfate precipitation, DEAE-ion exchange, and gel-filtrationchromatography. The purity of the agarase was increasedby 11.9× with a recovery of 5.1% and a specific activity of4,670.1 U/mg of protein. The molecular mass of thepurified agarase was approximately 30 kDa (SDS-PAGE). The agarase was stable at temperature below 50oC and thefavorable agar-hydrolysis activity was at 40oC. The agarasewas active in the range of pH 5.0 to 8.0, and the optimalagar-hydrolysis pH value was approximately 6.0. Metalions normally found in seawater (Na+, K+, Ca2+, Mg2+, andAl3+) could activate agarase WL. The Michaelis-Mentenconstant Km and maximal reaction velocity Vmax of purifiedagarase WL were 3.22 mg/mL and 41.5 μg/mL·min,respectively. The agarase WL was highly agar specific.
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A Novel Dynamic Time Wrapping Similarity Algorithm Optimized by Multi-Granularity
Xu Jianfeng,Tang Tao,Zhang Yuanjian 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.10
Dynamic time warping algorithm (DTW) is a method of measuring the similarity of time series. Concerning the problem that DTW cannot keep high classification accuracy when the computation speed improved, a FG-DTW method based on the idea of naive granular computing is proposed. In this method, firstly, better temporal granularity is acquired by calculating temporal variance feature and it is used to replace original time series; Secondly, the elastic size of under comparing time series granularity allow dynamic adjustment through DTW algorithm and optimal time series corresponding granularity is obtained; Finally, DTW distance is calculated by optimal corresponding granularity model. At the same time, the early termination strategy of infimum function is introduced to improve the efficiency of FG-DTW algorithm. Experiments show that the proposed algorithm improves the running rate and accuracy effectively.
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Zhanqiang Xing,Jianfeng Qu,Yi Chai,Qiu Tang,Yuming Zhou 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.2
The gear vibration signal is nonlinear and non-stationary, gear fault diagnosis under variable conditions has always been unsatisfactory. To solve this problem, an intelligent fault diagnosis method based on Intrinsic time-scale decomposition (ITD)-Singular value decomposition (SVD) and Support vector machine (SVM) is proposed in this paper. The ITD method is adopted to decompose the vibration signal of gearbox into several Proper rotation components (PRCs). Subsequently, the singular value decomposition is proposed to obtain the singular value vectors of the proper rotation components and improve the robustness of feature extraction under variable conditions. Finally, the Support vector machine is applied to classify the fault type of gear. According to the experimental results, the performance of ITD-SVD exceeds those of the time-frequency analysis methods with EMD and WPT combined with SVD for feature extraction, and the classifier of SVM outperforms those for K-nearest neighbors (K-NN) and Back propagation (BP). Moreover, the proposed approach can accurately diagnose and identify different fault types of gear under variable conditions.
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Investigation of the interstitial oxygen behaviors in vanadium alloy: A first-principles study
Xingming Zhang,Yifan Li,Qiaoling He,Ruilian Li,Lei Deng,Liang Wang,Xunlin Liu,Jianfeng Tang,Huiqiu Deng,Wang-Yu Hu 한국물리학회 2018 Current Applied Physics Vol.18 No.2
This study aims at characterizing the interstitial Oxygen (O) behaviors in the Vanadium (V) Alloy by means of the first-principles calculations. For this, the interations between vacancy (Vac) and O interstitil atom are studied in detail to obtain the binding energies and stable structures of the complexes. It can be seen that monovacancy binding with two O atoms occupied the opposing octahedral stie are particularly stable, and is liable to form VacO2 cluster in the V alloys. According to the mass action analysis, the predicted temperature dependence of the concentration for VacOn complexes are presented. Apart from monovacancy, we also consider the trapping behavior of vacancy cluster on the O atoms. The results also prove that one vacancy can trap two O atoms in the V alloys. Based the diffusion theory, we obtain the diffusion coefficients as a function of temperature with or without the vacancy effect in the V alloys. The predicted O diffusion coefficients in defect-free V alloys from our first-principles calculations are in excellent ageement with the experimental data, meanings that the vacancy-limited mechanism does not play the key role for O diffusion in V alloys. Regarding the interactions between vacancy, solutes and O atom, combining with the diffusion barriers of O affected by vacancy and solute, we infer the formation mechanism of the precipitates in the V alloys.
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