Zhejiang Technical Institute of Economic

Hangzhou, China

Zhejiang Technical Institute of Economic

Hangzhou, China
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Zheng Y.J.,Zhejiang Technical Institute of Economic | Feng Y.,Zhejiang Technical Institute of Economic | Joshi S.,University of Agricultural Sciences, Bangalore
Journal of Mechanical Engineering Research and Developments | Year: 2016

As the demand of people to vehicle performance is becoming more and more higher, the study to vehicle dynamics has been developed rapidly, and the derivation of vehicle model is becoming more and more mature in various conditions. The main content of this paper is to derive seventeen DOF vehicle model. The derived differential equation is the multi-state variable chemosynthesis differential equations, if use the ordinary solving method is time consuming, which can not meet the requirements of real-time simulation. This paper uses the iterative solution method, that is first according to the dynamic equation and initial conditions to solve the state variable derivation, namely the acceleration, then according to the time step to solve the displacement (angular displacement) and velocity (angular velocity), and then substitute the displacement and velocity of the last time step to the differential equation to solve the next step length acceleration, so iterative calculations to solve the vehicle motion status of the entire simulation time. Due to it is not solve differential equations and there are some simple operations, so the solution rate is high and can achieve the requirements of real-time simulation.


Shao Y.-N.,Zhejiang University | Pan J.,Zhejiang University | Jiang L.-L.,Zhejiang Technical Institute of Economic | He Y.,Zhejiang University
Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis | Year: 2015

Identification and classification of microalgae are basis and premise in the study of physiological and biochemical characteristics for microalgae. Microalgae cells mainly consist of five kinds of biological molecules, including proteins, carbonhydrates, lipids, nucleic acids and pigments. These five kinds of biological molecules contents with different ratio in microalgae cells can be utilized to identify microalgae species as a supplement method. This paper investigated the application of Raman microspectroscopy technology in the field of rapid identification on different algae species such as aschlorella sp. and chlamydomonas sp.. Cultivated in the same conditions of culture medium, illumination duration and intensity, these two kinds of species of microalgae cells were immobilized by using agar, and then the samples were placed under 514.5 nm Raman laser to collect Raman spectra of different growth periods of different species. An approach to remove fluorescence background in Raman spectra called Rolling Circle Filter (RCF) algorithm was adopted to remove the fluorescent background, and then some preprocessing methods were used to offset the baseline and smooth method of Savitzky-Golay was tried to make the spectra curves of total 80 samples smoother. Then 50 samples were randomly extracted from 80 samples for modeling, and the remaining 30 samples for independent validation. This paper adopted different pretreatment methods, and used the partial least squares (PLS) to establish model between the spectral data and the microalgae species, then compared the effects of different pretreatment methods. The results showed that with Raman microspectroscopy technology, the pretreatment method of max-peak ratio standardization was a more effective identification approach which utilizes the different content ratios of pigments of different microalgae species. This method could efficiently eliminate the influence on Raman signal due to different growth stages of microalgae and decomposition of pigments contents of microalgae in vivo. Compared with other traditional classification methods, this method had significant advantages like simpler procedure and shorter testing time, and it can also avoid some subjective measurement errors caused by unskilled operations. If the threshold was set to ±0.5, the prediction accuracy can reach 100%, and when the threshold was ±0.2, the prediction accuracy reached 86.67%, which proves the proposed new method can be a good approach to identify different algae varieties. ©, 2015, Science Press. All right reserved.


Guo X.-M.,Zhejiang University | Guo X.-M.,Zhejiang Technical Institute of Economic | Chen K.-J.,Zhejiang Technical Institute of Economic | Hu L.-M.,Zhejiang Technical Institute of Economic | He Y.,Zhejiang University
Shanghai Ligong Daxue Xuebao/Journal of University of Shanghai for Science and Technology | Year: 2012

The conformation of cash flow table must be taken from all of vouchers because transferring accounting entries will change the final actual cash flow in the accrual. With the help of double-entry bookkeeping and cash flow structure, the model of cash flow turnover about "business, investment, financing and exchange rate changing" and the model of adjustment between "net income and net cash flows from business" were established, which can implement all the project in cash flow statement and its schedule from all of vouchers directly. With the theory and methods of ontology middleware, the conformation of cash flow statement is able to be quickly defined and operated by the table and its predicate calculus, and can be always checked or dissected to effectively follow up on business management in the control of cash flow.

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