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Yan Hua Wang,Jing Lv,Yan Feng,Bo Wen Dai,Cheng Wang,Jing Wu,Zi Yan Chen 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.2
Substructure pseudo-dynamic hybrid simulation (SPDHS) is an advanced structural seismic testing method which combines physical experiment and numerical simulation. Generally, the key components which display nonlinearity first are taken as experimental substructures for actual test, and the remaining parts are modeled in simulation. Model updating techniques can be effectively applied to enhance the model precision of nonlinear numerical elements. Specifically, the constitutive model of the experimental substructure is identified online by the instantaneously-measured data, and the corresponding numerical elements with similar hysteretic behaviors are updated synchronously. Artificial neural network (ANN) can recognize the system which cannot be represented by definite numerical model, and thus avoids the structural response distortion caused by the inherent numerical model defects. In this study, a framework for online model updating in SPDHS with ANN method is expanded to implement actual test validation. Moreover, the effectiveness of ANN method is demonstrated by practical tests of a two-story frame model with bending dampers. Additionally, the unscented Kalman filter technique and offline ANN identification approach are both examined in the test validation. The experimental results show that, under the identical loading history, the online ANN method can significantly reduce the model errors and improve the accuracy of SPDHS.
Cancer Prediction Based on Radical Basis Function Neural Network with Particle Swarm Optimization
Yan, Xiao-Bo,Xiong, Wei-Qing,Hu, Liang,Zhao, Kuo Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.18
This paper addresses cancer prediction based on radial basis function neural network optimized by particle swarm optimization. Today, cancer hazard to people is increasing, and it is often difficult to cure cancer. The occurrence of cancer can be predicted by the method of the computer so that people can take timely and effective measures to prevent the occurrence of cancer. In this paper, the occurrence of cancer is predicted by the means of Radial Basis Function Neural Network Optimized by Particle Swarm Optimization. The neural network parameters to be optimized include the weight vector between network hidden layer and output layer, and the threshold of output layer neurons. The experimental data were obtained from the Wisconsin breast cancer database. A total of 12 experiments were done by setting 12 different sets of experimental result reliability. The findings show that the method can improve the accuracy, reliability and stability of cancer prediction greatly and effectively.
Fixed-time Integral Terminal Sliding Mode Control for Vehicle Platoon With Prescribed Performance
Yan-Bo Wang,Cheng-Lin Liu,Liang Shan 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.1
This article investigates a fixed-time integral terminal sliding mode (FITSM) control method for a longitudinal vehicle platoon consisting of a leader and multiple followers. This sliding mode is designed with a coupled sliding mode surface and a quadratic spacing (QS) policy that effectively ensures string stability, with prescribed performance. To reduce the chattering phenomenon caused by the sign function, the reaching law is designed by a smooth function. Furthermore, the vehicle platoon system is fixed-time stable and the string stability is guaranteed strictly. Finally, a numerical simulation is presented to show the proposed method’s effectiveness.
Antimicrobial glycoalkaloids from the tubers of Stephania succifera
Yan-Bo Zeng,Dai-Jing Wei,Wen-Hua Dong,Cai-Hong Cai,De-Lan Yang,Hui-Min Zhong,Wen-Li Mei,Hao Fu Dai 대한약학회 2017 Archives of Pharmacal Research Vol.40 No.4
Three new glycoalkaloids, N-formyl-asimilobine-2-O-b-D-glucoside (1), (-)-1-O-b-D-glucoside-8-oxotetrahydropalmatine(2), and 1-N-monomethylcarbamateargentinine-3-O-b-D-glucoside (3) were isolated fromtubers of Stephania succifera. The structures were establishedbased on spectroscopic analysis, and the antimicrobialactivities of the three glycoalkaloids are reported.
Two new sesquiterpenoids from endophytic fungus J3 isolated from Mangrove Plant Ceriops tagal
Yan-Bo Zeng,Hai-Gang Gu,Wen-Jian Zuo,Li-Li Zhang,Hong-Jin Bai,Zhi-Kai Guo,Peter Proksch,Wen Li Mei,Hao Fu Dai 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.5
Two new sesquiterpenoids, named 2a-hydroxyxylaranolB (1) and 4b-hydroxyxylaranol B (2), togetherwith a known diterpenoid 3,4-seco-sonderianol (3) wereisolated from the fermentation of endophytic fungus J3 ofCeriops tagal. Their structures were elucidated based onspectroscopic methods including 1D and 2D NMR(HMQC, 1H-1H COSY and HMBC). All compounds wereevaluated for their cytotoxic activities by MTT method,and compound 3 exhibited cytotoxic activities againstK562, SGC-7901, and BEL-7402 cell lines.
Development of self-centring energy-dissipative rocking columns equipped with SMA tension braces
Yan-Wen Li,Michael C.H. Yam,Ping Zhang,Ke Ke,Yan-Bo Wang 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.82 No.5
Energy-dissipative rocking (EDR) columns are a class of seismic mitigation device capable of dissipating seismic energy and preventing weak-story failure of moment resisting frames (MRFs). An EDR consists of two hinge-supported steel columns interconnected by steel dampers along its height. Under earthquakes, the input seismic energy can be dissipated by plastic energy of the steel dampers in the EDR column. However, the unrecoverable plastic deformation of steel dampers generally results in residual drifts in the structural system. This paper presents a proof-of-concept study on an innovative device, namely self-centring energy-dissipative rocking (SC-EDR) column, aiming at enabling self-centring capability of the EDR column by installing a set of shape memory alloy (SMA) tension braces. The working mechanism of the SC-EDR column is presented in detail, and the feasibility of the new device is carefully examined via experimental and numerical studies considering the parameters of the SMA bar diameter and the steel damper plate thickness. The seismic responses including load carrying capacities, stress distributions, base rocking behaviour, source of residual deformation, and energy dissipation are discussed in detail. A rational combination of the steel damper and the SMA tension braces can achieve excellent energy dissipation and self-centring performance.
Yan-Bo Shao 한국항해항만학회 2012 한국항해항만학회지 Vol.36 No.2
Due to rapid growth of economy in the world, which results into shipping goods flow one place to another in large volumes, the competition becoming more intense among ports. Shanghai port and Ningbo-Zhoushan port are the two most important ports in the Yangtze River Delta and have the same economic hinterland, inevitably there is a heated competition between the two ports. This paper using the approach of SWOT to analyze the issue of competition and cooperation between the two ports, and then makes an analysis of their Co-opetition strategies by employing the analyzing methods based on the Game theory. Finally, it puts forward some strategies to enhance the cooperation between the two ports.
Bo Yan,Xiuhe Wang,Yubo Yang 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.2
This paper presents an improved subdomain method to predict the magnet field distributions and electromagnetic performance of the surface-mounted permanent magnet (SPM) machines with static or dynamic eccentricity. Conventional subdomain models are either based on the scalar magnet potential to predict the rotor eccentricity effect or dependent on the magnetic vector potential without considering the eccentric rotor. In this paper, both the magnetic vector potential and the perturbation theory are introduced in order to accurately calculate the effect of rotor eccentricity on the open-circuit and armature reaction performance. The calculation results are presented and validated by the corresponding finite-element method (FEM) results.