Handan, China
Handan, China

Handan College is a university based in Handan, Hebei province, People's Republic of China. It is a comprehensive university which offers courses from the Humanities to science. Wikipedia.

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Xu Z.-P.,Handan College
Proceedings - 2016 International Conference on Robots and Intelligent System, ICRIS 2016 | Year: 2016

In this paper, a financial crisis early warning model based on RBF neural network is established, and the 263 industry's financial indicators are used as a training set for the neural network training, and the 76 industries financial index are used as inspection sample. The results of the model show that the RBF neural network model is superior to the custom model and obtain high precision for the special industry. Through the model simulation and result analysis, the model can provide the decision makers with accurate and reliable advice. © 2016 IEEE.

Li K.,Handan College
Advanced Materials Research | Year: 2014

Use UG to model and assemble herringbone gear. Through the ANSYS Workbench software, the engaging characteristics of the static state herringbone gear assembly model were confirmed and the analysis was executed to verify the gear design rationality. © (2014) Trans Tech Publications, Switzerland.

Hui L.,Handan College
International Journal of Control and Automation | Year: 2016

Genetic algorithm was used to identify the damage of frame structure. Stiffness coefficient damage factor is selected as design variable, and the weighted array difference value between inherent frequency and vibration mode of structure calculated and measured. According to the difficulty in selecting crossover rate and mutational rate for fundamental algorithm, the process of selection operator, crossover operator and mutation operator was improved. All operators were operated on parent individual. Crossover rate and mutational rate were set for 100%. Punishment function was applied for keeping the difference among individuals. The improved genetic algorithm can conserve the better individual in parent and keep off fall into local optimum. Through a 3-story frame with single variable damage and multiple variables damage study, the results showed that the improved genetic algorithm can identify the damage location and degree. © 2016 SERSC.

Zhao W.,Handan College
Journal of Computational Information Systems | Year: 2013

Logistics requirement prediction is very important to make a logistics plan. In this study, a hybrid model of particle swarm optimization algorithm and RBF neural network is proposed to predict logistics requirement. As the selection of the centers and the widths of hidden nodes and output weight of the RBF neural network model has a great influence on its prediction performance, particle swarm optimization algorithm is applied to choose these parameters of RBF neural network. Then, we perform experimental study for logistics requirement prediction by a hybrid model of particle swarm optimization algorithm and RBF neural network. The experimental results show that a hybrid model of particle swarm optimization algorithm and RBF neural network has better logistics requirement prediction ability than a hybrid model of genetic algorithm and RBF neural network, RBF neural network. Therefore, we can conclude that a hybrid model of particle swarm optimization algorithm and RBF neural network has a good application prospect in the logistics requirement prediction. © 2013 Binary Information Press.

Zhang N.,Handan College
Proceedings - 2015 7th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2015 | Year: 2015

This paper proposes a novel mechanical fault diagnosis method using a hybrid QPSO and SVM model. Mechanical fault diagnosis refers to the recognition and diagnosis of fault mechanism, fault causes, and the fault positions. Particularly, five types of mechanical faults are considered in this paper, which are 1) quality not balancing, 2) Rotor thermal bending, 3) Shaft crack, 4) Bearing fault and 5) Permanent bending. The main innovations of this paper lie in that we introduce the SVM classifier to solve the mechanical fault diagnosis problem, and then Quantum behaved particle swarm optimization is utilized to optimized the parameters of SVM. Experimental results demonstrate that, using the proposed algorithm, the accuracy of mechanical fault diagnosis is greatly enhanced than SVM and PSO-SVM model. © 2015 IEEE.

Li H.Y.,Handan College | Xiao T.,Beijing University of Chemical Technology
Advanced Materials Research | Year: 2013

A core-shell nanocomposite particle with polystyrene sphere core and polythiophene overlayer shell was synthesized through thiophene chemical oxidative polymerization using uniquely structured polystyrene latexes template. The morphology of polythiophene shell, which has nanorods shaped or featureless surface morphology, can be simply controlled through varying the dosage and feeding methods of oxidizers. © (2013) Trans Tech Publications, Switzerland.

Zang W.,Handan College | Guo R.,Handan College
Advances in Information Sciences and Service Sciences | Year: 2012

Network security situational awareness is a hot research spot in network security field. A quantitative method of network security situational awareness based on evolutionary neural network is proposed, combined with the good global search capability and the classification capability of neural network, in which evolutionary strategy is used to optimize the neural network's architecture in order to improve its classification ability, then realize the extract of the network security situational factors to generate the network security situation graph ultimately.

Jingxian Z.,Handan College
Proceedings - 2011 International Symposium on Computer Science and Society, ISCCS 2011 | Year: 2011

During the process of digital campus construction, there emerged many problems, such as, the rapid rise of the servers in DC (Data Center) and the power consumption, various failure of single point. In order to solve these problems, the author proposes virtual server based on virtual software to improve the efficiency of equipment and reduce the energy consumption and thus reducing operating costs. © 2011 IEEE.

Shang H.,CAS Beijing National Laboratory for Molecular | Shang H.,University of Chinese Academy of Sciences | Shang H.,Handan College | Fan H.,CAS Beijing National Laboratory for Molecular | And 6 more authors.
Advanced Materials | Year: 2011

A new 3D, star-shaped, donor-acceptor-donor (D-A-D) small molecule with triphenylamine as the core and donor unit, benzothiadiazole as the bridge and acceptor unit, and hexylterthiophene as the arm and donor unit is synthesized. Photovoltaic devices based on the blend of this compound and [6,6]-phenyl-C 71-butyric-acid-methyl-ester (PC71BM) exhibited power conversion efficiencies as high as 4.3%, which is among the highest reported for solution-processed organic solar cells based on small molecules. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Yang Y.C.,Handan College
Electronic Engineering and Information Science - Proceedings of the 2015 International Conference on Electronic Engineering and Information Science, ICEEIS 2015 | Year: 2015

In the thermodynamic system extension project of Zonghe chemical fertilizer plants, FF Fieldbus technology was used in the automatic control system to finish the following automation functions: data acquisition, analog control, sequence control, emergency protection and other thermal automation functions, and the control system was applied in the project successfully. The system is steady and reliable for several years, it supplied the experience for application and research of Fieldbus technology in control field for Circulating Fluidized Bed Boiler. © 2015 Taylor & Francis Group, London.

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