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Nonlinear Local Lyapunov Exponent and Quantification of Local Predictability
Rui-Qiang, Ding,Jian-Ping, Li,Kyung-Ja, Ha Science Press 2008 CHINESE PHYSICS LETTERS Vol.25 No.5
<P>Nonlinear local Lyapunov exponent (NLLE) is applied to quantitatively determine the local predictability limit of chaotic systems. As an example, we find that the local predictability limit of Henon attractor varies considerably with time, and some underlying phase-spatial structure does not appear. The local predictability limit of initially adjacent points in phase space may be completely different. This will cause difficulties in making the long-time analogue forecast.</P>
( Rui Hao ),( Yan Qiang ),( Xiaolei Liao ),( Xiaofei Yan ),( Guohua Ji ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.1
In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.
Research on the Relation between Transformer Oil Flow Electrification and Electrostatic Current
Qiang Fu,Rui Wang,Pinguo Zou,Zhao Li,Yang Yang,Xuejun Xie 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.2
In order to study and obtain the mathematical relation between the electrification degree of transformer oil flow and the electrostatic current, a small amount of data about the electrification degree of oil flow and the corresponding electrostatic current is studied by linear regression method and grey model method. The results show that the linear correlation between the electrification degree and the electrostatic current was not good, and the relation between the electrification degree of oil flow and electrostatic current (i) could be expressed as ρ<SUP>(0)</SUP> =0.2049 i<SUP>(0)</SUP> +169.4419 according to grey model GM (0, 2) when the electrification degree of oil flow is represented by the charge number generated from transformer oil per unit volume, namely the charge density (ρ).
A magnetostrictive self-powered biosensor based on Au-BaTiO3-FeGa & PDMS
Qiang Zhang,Meng Xu,Yan Liu,Chunyan Zhang,Rui Zhang,Zhiyuan Fu,Jianlong Ji,Riguang Zhang,Shengbo Sang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.117 No.-
Piezoelectric flexible sensors have been used to detect biomolecules such as sweat and glucose because oftheir passive, simple structure and high sensitivity. This paper proposes a novel flexible piezoelectric Au-BaTiO3-FeGa & PDMS biosensor in which magnetostrictive deformation amplifies the surface stress generatedby biomolecules combining on the thin film. The modification process of bovine serum albumin(BSA) binding with the sensor was initially determined by the first principles approach. Then, the sensingmechanism was verified by finite-element simulation. Based on the simulation results, flexible Au-BaTiO3-FeGa & PDMS biosensors were prepared, modified, and measured. The structure, modification,and detection of the sensors were analyzed by digital microscopy, Fourier transform infrared spectrometry(FTIR), atomic force microscopy (AFM), and scanning electron microscopy (SEM). The responses ofthe biosensors detecting different BSA solution concentrations under magnetic fields were then investigated. Experimental results indicate that the biosensor has the highest sensitivity under a magnetic fieldof 30 mT.
Effect of Cu doping on the SCR activity of CeO2 catalyst prepared by citric acid method
Rui-Tang Guo,Wen-long Zhen,Wei-Guo Pan,Yue Zhou,Jie-nan Hong,Hong-jian Xu,Qiang Jin,Cheng-gang Ding,Shi-yi Guo 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4
CeO2–CuO catalyst prepared by citric acid method was investigated for selective catalytic reduction of NO with NH3. The activity of the CeO2 catalyst was enhanced about 8–27% in the temperature range of 125–225 ℃ at a space velocity of 28,000 h 1 by the addition of Cu. It was found that the state of Cu species had great impact on the SCR performance of CeO2–CuO catalyst. Cu2+ can enhance the low temperature activity of SCR reaction, while CuO would promote NH3 oxidation before SCR reaction at high temperature, which would cause the decrease of its high temperature SCR activity.
CORROSION BEHAVIOR OF NI-BASE ALLOYS IN SUPERCRITICAL WATER
QIANG ZHANG,RUI TANG,CONG LI,XIN LUO,CHONGSHENG LONG,KAIJU YIN 한국원자력학회 2009 Nuclear Engineering and Technology Vol.41 No.1
Corrosion of nickel-base alloys (Hastelloy C-276, Inconel 625, and Inconel X-750) in 500 °C, 25 MPa supercritical water (with 10 wppb oxygen) was investigated to evaluate the suitability of these alloys for use in supercritical water reactors. Oxide scales formed on the samples were characterized by gravimetry, scanning electron microscopy/energy dispersive spectroscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. The results indicate that, during the 1000 h exposure, a dense spinel oxide layer, mainly consisting of a fine Cr-rich inner layer (NiCr2O4) underneath a coarse Fe-rich outer layer (NiFe2O4), developed on each alloy. Besides general corrosion, nodular corrosion occurred on alloy 625 possibly resulting from local attack of ” clusters in the matrix. The mass gains for all alloys were small, while alloy X-750 exhibited the highest oxidation rate, probably due to the absence of Mo.
Rui Liu,Ching-Shieh Hsieh,Wein-Duo Yang,Liang-Sheng Qiang,Jian-Fu Wu 한국물리학회 2011 Current Applied Physics Vol.11 No.6
Vertically oriented TiO_2 nanotube arrays were successfully produced by the anodization technique in NH_4F/H_3PO_4 electrolyte. The structure and morphology were characterized by X-ray diffraction (XRD)and field emission scanning electron microscopy (FE-SEM). It is found that TiO_2 nanotube arrays annealed at 500 ℃ containing 100% anatase phase and entirely converted into rutile at 800 ℃. The response surface methodology (RSM) and Box-Behnken design were applied to find the optimal factor conditions in production of TiO_2 nanotube arrays. Based on the results in preliminary experiments, we selected anodization time, anodization voltage and NH4F concentration as the key factors to investigate their effects on responses. The regression models were built by fitting the experimental results with a second-order polynomial. By using the regression models, the optimal factor conditions were obtained as follows: anodization time of 300 min; anodization voltage of 15.39 V; NH_4F concentration of 0.50 M. Corresponding to the optimal factor conditions, the predicted average length and diameter of nanotube array were 1429 nm and 33 nm, respectively. Confirmation experiments using the optimized conditions were performed: TiO_2 nanotube arrays were obtained with an average tube length of 1420 nm and average tube diameter of 36 nm. The experimental results are in good agreement with the predicted results.
Rui-Tang Guo,Yue Zhou,Wei-Guo Pan,Jie-nan Hong,Wen-long Zhen,Qiang Jin,Cheng-gang Ding,Shi-yi Guo 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.6
CeO2/Al2O3 catalysts prepared by three methods were investigated for selective reduction of NO with NH3. It was found that the catalyst prepared by the single step sol–gel method had the best SCR activity and SO2 resistance performance. From the results of BET, XRD, TPD and TPR, it can be concluded that large surface area, strong interaction, highly dispersed nano-crystalline ceria, high NH3 adsorption capacity and good redox ability might be the main reasons for the excellent performance of CeO2/Al2O3catalyst prepared by the single step sol–gel method.
Improved information fusion approach based on D-S evidence theory
Rui Sun,Hong-Zhong Huang,Qiang Miao 대한기계학회 2008 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.22 No.12
Conventional D-S evidence theory has an unavoidable disadvantage in that it will give counter-intuitive result when fusing high conflict information. This paper proposes an improved method to solve this problem. By reassigning weight factors before fusing, the method can give reasonable results especially when the initial weight factors of conflict evidences are almost equal. It gives an adjustable factor to adjust the reassigning force. An example is given to illustrate these advantages.
An automatic abrupt signal extraction method for fault diagnosis of aero-engines
Qiang Pan,Ying Liu,Rui Zhou,Hong Wang,Haibing Chen,Tian He 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.4
Fault diagnosis of a mechanical device such as a complicated aero-engine system is an interesting engineering topic. Present paper aims at providing a method to automatically extract abrupt information of signals to diagnose typical faults. This proposed method is based on singular value decomposition (SVD), and it decomposes a signal via reconstruction of singular value matrix. A criterion of difference spectrum is introduced into this method to terminate the analysis procedure. To verify the proposed method, both numerical simulation and experimental work on rotor test rig and an aero-engine generator were carried out. In addition, the kurtosis of rubbing resulting from wavelet, empirical mode decomposition (EMD) and this proposed method was compared. It is shown the proposed method is advanced to wavelet and EMD in rubbing fault diagnosis of aero-engines since it can extract the most significant periodic impact feature of fault signals.