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Cheng, Jin,Cai, C.S.,Xiao, Ru-Cheng Techno-Press 2007 Structural Engineering and Mechanics, An Int'l Jou Vol.26 No.3
This paper examines the application of artificial neural networks (ANN) to the response prediction of geometrically nonlinear truss structures. Two types of analysis (deterministic and probabilistic analyses) are considered. A three-layer feed-forward backpropagation network with three input nodes, five hidden layer nodes and two output nodes is firstly developed for the deterministic response analysis. Then a back propagation training algorithm with Bayesian regularization is used to train the network. The trained network is then successfully combined with a direct Monte Carlo Simulation (MCS) to perform a probabilistic response analysis of geometrically nonlinear truss structures. Finally, the proposed ANN is applied to predict the response of a geometrically nonlinear truss structure. It is found that the proposed ANN is very efficient and reasonable in predicting the response of geometrically nonlinear truss structures.
Advanced aerostatic stability analysis of suspension bridges
Xiao, Ru-Cheng,Cheng, Jin Techno-Press 2004 Wind and Structures, An International Journal (WAS Vol.7 No.1
Aerostatic instability of a suspension bridge may suddenly appears when the deformed shape of the structure produces an increase in the value of the three components of displacement-dependent wind loads distributed in the structure. This paper investigates the aerostatic stability of suspension bridges using an advanced nonlinear method based on the concept of limit point instability. Particular attention is devoted to aerostatic stability analysis of symmetrical suspension bridges. A long-span symmetrical suspension bridge (Hu Men Bridge) with a main span of 888 m is chosen for analysis. It is found that the initial configuration (symmetry or asymmetry) may affect the instability configuration of structure. A finite element software for the nonlinear aerostatic stability analysis of cable-supported bridges (NASAB) is presented and discussed. The aerostatic failure mechanism of suspension bridges is also explained by tracing aerostatic instability path.
Cheng, Jin,Xiao, Ru-Cheng Techno-Press 2006 Structural Engineering and Mechanics, An Int'l Jou Vol.23 No.2
An efficient and accurate algorithm is proposed to estimate cable safety factor of suspension bridges satisfying prescribed reliability levels. Uncertainties in the structure and load parameters are incorporated. The proposed algorithm integrates the concepts of the inverse reliability method and deterministic method for assessing cable safety factors of suspension bridges. The unique feature of the proposed method is that it offers a tool for cable safety assessment of suspension bridges, when the reliability level is specified as a target to be satisfied by the designer. After the accuracy and efficiency of the method are demonstrated through two numerical examples, the method is used to estimate cable safety factors of suspension bridges with span length ranging from 2000 to 5000 m. The results show that the deterministic method overestimates cable safety factor of suspension bridges because of neglecting the parameter uncertainty effects. The actual cable safety factor of suspension bridges should be estimated based on the proposed method.
Copy Detection Technique with Enhanced Efficiency by using Substring Comparison Algorithm
Xiao-hui Cheng,Meng Hu,Tong Wang,Yun Deng 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.12
As the information was being overloaded from time to time, a significant technique should be accomplished by several search engines that exists will use from the databases to eradicate the replicas of data which was available in articles and to present the outcomes of the search to users in terms of percentage of the amount of the data copied from the original file. Plagiarism is the process of bestowing one’s creative ideas as our individual conception. It is does not meant that anybody cannot use other’s considerations or workings, anybody can use their data by giving the actual credit the original users by stating their names in literature or in references and also by giving special note on acknowledgements. Copying the content of the others work is mainly considered to be a big crime in terms of research and in terms of the owning the idea of the others. The main idea of this work is to identify the extent of the data that was being copied or to identify the amount of data that was being copied from other peoples work or their own credited work. Performance of plagiarizing a document is not limited to word files or pdf files, it is possible to plagiarize even images and other files too. Hence, we were focused on finding the plagiarism in word files which includes academics and research articles.
Probabilistic shear-lag analysis of structures using Systematic RSM
Cheng, Jin,Cai, C.S.,Xiao, Ru-Cheng Techno-Press 2005 Structural Engineering and Mechanics, An Int'l Jou Vol.21 No.5
In the shear-lag analysis of structures deterministic procedure is insufficient to provide complete information. Probabilistic analysis is a holistic approach for analyzing shear-lag effects considering uncertainties in structural parameters. This paper proposes an efficient and accurate algorithm to analyze shear-lag effects of structures with parameter uncertainties. The proposed algorithm integrated the advantages of the response surface method (RSM), finite element method (FEM) and Monte Carlo simulation (MCS). Uncertainties in the structural parameters can be taken into account in this algorithm. The algorithm is verified using independently generated finite element data. The proposed algorithm is then used to analyze the shear-lag effects of a simply supported beam with parameter uncertainties. The results show that the proposed algorithm based on the central composite design is the most promising one in view of its accuracy and efficiency. Finally, a parametric study was conducted to investigate the effect of each of the random variables on the statistical moment of structural stress response.
Xiao-hui Cheng,Yu Wu,Yun Deng 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.12
Traditional methods UBCF have limitations of poor recommendation quality and problems of data sparsity. To alleviate these problems, a novel collaborative filtering algorithm is designed, which firstly get the users’ ratings and time intervals for each attribute from the users’ ratings for items, then produce two methods to calculate the similarity between users, introduce a weighting parameters to control the weight between the two similarity methods in order to get a fusion similarity between two users. The results show that this method is able to improve the accuracy of predicted values, resulting in improving recommendation quality of the collaborative filtering recommendation algorithm.
Serviceability reliability analysis of cable-stayed bridges
Cheng, Jin,Xiao, Ru-Cheng Techno-Press 2005 Structural Engineering and Mechanics, An Int'l Jou Vol.20 No.6
A reliability analysis method is proposed in this paper through a combination of the advantages of the response surface method (RSM), finite element method (FEM), first order reliability method (FORM) and the importance sampling updating method. The accuracy and efficiency of the method is demonstrated through several numerical examples. Then the method is used to estimate the serviceability reliability of cable-stayed bridges. Effects of geometric nonlinearity, randomness in loading, material, and geometry are considered. The example cable-stayed bridge is the Second Nanjing Bridge with a main span length of 628 m built in China. The results show that the cable sag that is part of the geometric nonlinearities of cable-stayed bridges has a major effect on the reliability of cable-stayed bridge. Finally, the most influential random variables on the reliability of cable-stayed bridges are identified by using a sensitivity analysis.
Xiao-Li Liao,Jun-Bao Wei,Yong-Qiang Li,Jian-Hong Zhong,Cheng-Cheng Liao,Chang-Yuan Wei 대한영상의학회 2018 Korean Journal of Radiology Vol.19 No.6
Objective: To perform a meta-analysis to quantitatively assess functional magnetic resonance imaging (MRI) in the diagnosis of locally recurrent prostate cancer. Materials and Methods: A comprehensive search of the PubMed, Embase, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews was conducted from January 1, 1995 to December 31, 2016. Diagnostic accuracy was quantitatively pooled for all studies by using hierarchical logistic regression modeling, including bivariate modeling and hierarchical summary receiver operating characteristic (HSROC) curves (AUCs). The Z test was used to determine whether adding functional MRI to T2-weighted imaging (T2WI) results in significantly increased diagnostic sensitivity and specificity. Results: Meta-analysis of 13 studies involving 826 patients who underwent radical prostatectomy showed a pooled sensitivity and specificity of 91%, and the AUC was 0.96. Meta-analysis of 7 studies involving 329 patients who underwent radiotherapy showed a pooled sensitivity of 80% and specificity of 81%, and the AUC was 0.88. Meta-analysis of 11 studies reporting 1669 sextant biopsies from patients who underwent radiotherapy showed a pooled sensitivity of 54% and specificity of 91%, and the AUC was 0.85. Sensitivity after radiotherapy was significantly higher when diffusion-weighted MRI data were combined with T2WI than when only T2WI results were used. This was true when meta-analysis was performed on a per-patient basis (p = 0.027) or per sextant biopsy (p = 0.046). A similar result was found when 1H-magnetic resonance spectroscopy (1H-MRS) data were combined with T2WI and sextant biopsy was the unit of analysis (p = 0.036). Conclusion: Functional MRI data may not strengthen the ability of T2WI to detect locally recurrent prostate cancer in patients who have undergone radical prostatectomy. By contrast, diffusion-weight MRI and 1H-MRS data may improve the sensitivity of T2WI for patients who have undergone radiotherapy.
Xiao, Cheng-Fan,Kim, Jong Heon,Choi, Daehwan,Park, Yun Chang,Kim, Jung Hyun,Park, Jozeph,Kim, Yong Joo,Kim, Hyun-Suk ELSEVIER SCIENCE 2019 JOURNAL OF ALLOYS AND COMPOUNDS Vol.801 No.-
<P><B>Abstract</B></P> <P>High quality Li<SUB>4</SUB>Ti<SUB>5</SUB>O<SUB>12</SUB> anode films were deposited by radio-frequency co-sputtering Li<SUB>4</SUB>Ti<SUB>5</SUB>O<SUB>12</SUB> and Li<SUB>2</SUB>O targets on Pt-coated stainless steel substrates. The use of an additional Li<SUB>2</SUB>O target not only compensated the lithium content in the resulting layers but also decreased the impurity content. Consequently, the electrochemical properties of the Li<SUB>4</SUB>Ti<SUB>5</SUB>O<SUB>12</SUB> anode exhibited better electrochemical properties than an identical film prepared using a single Li<SUB>4</SUB>Ti<SUB>5</SUB>O<SUB>12</SUB> target. Upon annealing, the co-sputtering Li<SUB>4</SUB>Ti<SUB>5</SUB>O<SUB>12</SUB> showed a relatively high discharge capacity of 618 mAh/cm<SUP>3</SUP> (theoretical specific capacity of 598.5 mAh/cm<SUP>3</SUP>) at a current density of 0.1 C. Also, superior high rate capability with a discharge capacity of 309 mAh/cm<SUP>3</SUP> at 20 C was observed, accompanied by an excellent cycling stability, with a capacity retention ratio exceeding 94% after 500 cycles at 1 C. The co-sputtering using Li<SUB>2</SUB>O target is most likely to have enhanced the electrochemical properties of the pure Li<SUB>4</SUB>Ti<SUB>5</SUB>O<SUB>12</SUB> anode.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Co-sputtering of Li<SUB>2</SUB>O and Li<SUB>4</SUB>Ti<SUB>5</SUB>O<SUB>12</SUB> target during the growth of LTO anode layer. </LI> <LI> The growth of high purity spinel LTO film by accommodating Li<SUB>2</SUB>O into Li deficient sites. </LI> <LI> LTO exhibits superior electrochemical performance with excellent rate capability and cycling performance. </LI> </UL> </P>