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Man J.,Hunan University of Technology | Li Q.,Hunan Chemical Vocation Technology College | Wen X.,Hunan University of Technology
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | Year: 2011

For effectively recognizing human behaviors in video surveillance, a novel behavior recognition model and a foreground extraction method are presented. For foreground detection, combining background edge model and background model, a foreground detection method is proposed, which can effectively avoid the light, shadows and other external factors. To quickly find new behaviors produced in the process of human motion, a hierarchical Dirichlet process is adopted to aggregate monitored feature data for human body to determine whether unknown behaviors are produced or not. The infinite hidden Markov model(HMM) is adopted to learn unknown behavior patterns with supervised method, and then update the knowledge base. When knowledge base reaches a certain scale, system can analyze human behaviors with unsupervised method. Simulation experiments show that the proposed method has unique advantage over others for human behavior detection in real-time video surveillance.


Hu L.,Hunan Chemical Vocation Technology College | Le X.,Hunan Zhuzhou Chemical Industry Group Co. | Chen J.,Hunan Chemical Vocation Technology College | Chen D.,Hunan Chemical Vocation Technology College
Shiyou Huagong/Petrochemical Technology | Year: 2014

The synergistic extraction of scandium from titanium oxide waste acid was optimized by means of the response surface analysis (RSA) with di(2-ethyl-hexyl) phosphoric acid-tributyl phosphate-sulfonated kerosene composite extractant. Based on the actual process conditions, solvent ratio (the mass ratio of the extractant to the waste acid), extraction time and number of cycles were selected as response surface experiment factors. According to the Box-Benhnken Design principle, the RSA method with 3 factors and 3 levels was used and the purification factor was determined as response value, with scandium recovery rate of more than 99.00% as constraint. The results showed that, the interaction between the solvent ratio and extraction time was the strongest. Under the optimum experimental conditions of solvent ratio 0.11, extraction time 13.87 min and cycle number2\the scandium recovery rate reached 99% and the purification factor was 61.61.A quadric polynomial regression model with high accuracy and precision for the purification factor was established based on the experimental data. ©, 2014, Beijing Research Institute of Chemical Industry. All right reserved.


Zhou Z.,Hunan Chemical Vocation Technology College
Advances in Intelligent Systems and Computing | Year: 2013

In order to guarantee the smooth progress of the work in power plant, the production equipment and tools should be real-time monitored. The traditional artificial and statistical management methods have been unable to adapt to the present needs, therefore this paper presents a new distributed intelligent monitoring system based on the technology of intelligent terminal equipment and Ethernet communication. The system could realize real-time functions, such as the monitoring of equipment and tools, data statistics, system control and system alarm. Wherein, the communication between the different monitoring modules is completed used RS485 bus, and the communication between the monitoring module and control module is completed through Ethernet. Experimental results show that the system could run stably and real-time monitor the dynamic changes in power plant, and has good application prospect. © 2013 Springer-Verlag.


Hu L.-R.,Hunan Chemical Vocation Technology College | Le X.-B.,Hunan Zhuzhou Chemical Industry Group Co. | Li N.,Hunan Zhuzhou Chemical Industry Group Co.
Yejin Fenxi/Metallurgical Analysis | Year: 2015

A method for simultaneous determination of major micro elements (Ti, Al, Sc, Fe, Ca, Mg) in titanium oxide waste acid extraction phase by inductively coupled plasma atomic emission spectrometry (ICP-AES) was established. The most kerosene as solvent in the sample was volatilized by low-temperature heating.The left organic phase was digested with HNO3 and H2SO4 mixture at low temperature to decompose completely, then HNO3 was removed by smoking of sulfur trioxide. After cooling, Ti, Al, Sc, Fe, Ca, Mg in the sample solution were determined by ICP-AES with indium as internal elements under selected operating conditions of instrument. There was basically no interference between coexisting elements. The detection limits(μg/mL)were 0.001 for Ti, 0.016 for Al, 0.004 for Fe, 0.015 for Ca, 0.002 for Sc and 0.005 for Mg. The proposed method has been applied to determine the above six elements in titanium oxide waste acid extraction phase, with relative standard deviation (RSD) of 0.35%-0.76% and standard addition recovery of 97%-102%. ©, 2015, Central Iron and Steel Research Institute. All right reserved.


Zhou Z.,Hunan Chemical Vocation Technology College
Applied Mechanics and Materials | Year: 2012

The higher equipment reliability can not only ensure the device running continuously, reduce all kinds of consumption, but reduce the accidents occurring because of the equipment defect. In this paper, an optimization strategy for ensuring the reliability of large automatic equipments using the lowest maintenance cost to improve the production efficiency of petrochemical enterprises was put forward. Several maintenance strategies are proposed, in which the reliability of large automatic equipment and the maintenance and repair cost are considerate overall. Reliability maintenance strategies of automatic equipment in the petrochemical industry are research detailed. And strategies of reliable maintenance and the implementation of reliable maintenance are studied. © (2012) Trans Tech Publications, Switzerland.


Man J.,Hunan University of Technology | Lin H.,Hunan University of Technology | Li Q.,Hunan Chemical Vocation Technology College | Wen X.,Hunan University of Technology
Advanced Materials Research | Year: 2011

The occlusion problem in crowded people environment makes human segmentation and tracking more difficult in video surveillance. Thus, a human segmentation method combing human model with body edge curve is presented. Because segmentation may result in serious defect and distortion, robust BP neural network model is adopted as tracking mode. For improving autonomous learning ability of BP network, Hierarchical Dirichlet Process (HDP) is used to decide whether new types of human body characteristic data is generated, which provides decision basis for BP network learning. The simulation experiments confirm that the method presented in this paper can effectively solve the problem of partial human body occlusion. Meanwhile, this method has unique advantage of simplicity and real-time over others. © (2011) Trans Tech Publications, Switzerland.


Min Z.Z.,Hunan Chemical Vocation Technology College
International Journal of Digital Content Technology and its Applications | Year: 2012

PVC is one of the five biggest common plastic in the global scope, the demand for PVC resin in third place, its position is very important. This article firstly studied PVC industry development present situation and prospect of all kinds of PVC industrial properties. And then we study the process flow of polymerization kettle reaction, we point out that abnormal phenomenon of the judgment and coping measures, there are five aspects. The most important part, we study the polymerization kettle reaction intelligent control, main have batch control and adaptive control temperature, the reaction of polymerization kettle has the important meaning. Polymerization kettle temperature control is the reaction of the most important control parameters, therefore, this paper polymerization kettle reaction temperature control is optimized, and then put forward now is more extensive use of the industrial control system and the reaction kettle. At the same time it reaches a polymerization kettle of reaction control related engineering application.


Tan H.-L.,Hunan Chemical Vocation Technology College | Lai C.-M.,Hunan Chemical Vocation Technology College | Zhou J.-L.,Wuhan University of Science and Technology | Chen G.,Wuhan University of Science and Technology
Zhuzao/Foundry | Year: 2015

The microstructure and mechanical properties of solidified AZ91D magnesium alloy parts produced by expendable pattern shell casting process under different pouring temperature, negative pouring pressure and wall thickness were studied. The results show that as the increase of casting wall thickness and pouring temperature, the mechanical properties of the casting parts were decreased because of the grain coarsening and the netting distribution of the β-Al12Mg17 hard brittle phase. The distribution of β-Al12Mg17 phase is more even in the way of negative pouring pressure casting, which resulted in obviously better mechanical properties than the way of gravity casting. ©, 2015, Chinese Mechanical Engineering Society. All right reserved.


Man J.,Hunan University of Technology | Li Q.,Hunan Chemical Vocation Technology College | Wen X.,Hunan University of Technology | Ouyang X.,Hunan University of Technology
Journal of Computational Information Systems | Year: 2010

Mutual occlusion of multiple persons makes body segmentation and tracking more difficult in video surveillance. Thus, a body segmentation method combing body model with body edge curve is presented. Because segmentation may result in serious defect and distortion, robust BP neural network model is used as tracking mode. For improving autonomous learning ability of BP neural network, Hierarchical Dirichlet Process (HDP) is adopted to determine whether new types of human body characteristic data is generated, which provides decision basis for BP neural network learning. The simulation experiments confirm that the method presented in this paper can effectively solve the problem of partial body occlusion. Compared to other methods, this method has unique advantage of simplicity and high accuracy. Furthermore, the combination of HDP and BP neural network improves autonomous learning ability of tracking system, and provides unique solution for body segmentation and tracking in multiple persons environment. © 2010 Binary Information Press.


Min Z.Z.,Hunan Chemical Vocation Technology College
International Journal of Advancements in Computing Technology | Year: 2012

Professor Smith designed the famous Smith predictor in 1957 to solve the delay problem of systems. Now lots of institutes and engineers engaged in the research of Smith predictor, as it has become one of the most important solutions to control delay in large delay system, by adding smith predictor in the feedback loop of controlled process in large time-delay system, delay factors would be "separated" from other factors in delivery functions. In this paper we made some discussion about Smith predictor, put more emphasis on the formulation of the method, also a comparison between Smith predictor and Dahlin (another important solution to control delay, created by Eric Dahlin in 1968) is given. Based on the form discussion this paper also try to proposed a kind of modified Smith predictor, developed the details of relative formulation.

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