Applied Mechanics and Materials Vols. 20-23

Abstract: The biochemical processes are usually described as seriously time varying and nonlinear dynamic systems. It is very costly and difficult to build their first-principle models due to the absence of inherent mechanism and efficient on-line sensors. In this paper, a hierarchical process neural network (HPNN) model within variable-sampling time has been proposed. Simulation is based on penicillin fed-batch fermentation process, shows that the model established is more accurately and efficient, and suffice for the requirements of control and optimization for biochemical processes.

Abstract: This paper studies multi-disciplinary knowledge integration technologies for aero-engine design process. The characteristics of the multi-disciplinary knowledge in aero-engine design process and the integration patterns between tacit knowledge and explicit knowledge are analyzed. A hierarchy model of aero-engine multi-disciplinary knowledge integration is proposed, and the key technologies are discussed briefly.

Abstract: In the paper, we introduce the new signal processing method HHT into the option price. HHT method is used to simulation and computing the volatility of price. And the result can work with BS-models or H-W model. In practice, the result is very good, especially for the option price in the rising market like China. The paper also gives the results based on the traditional methods including GARCH, EGARCH, GJR and so on. The comparison is obvious and HHT is new good choice. The data is from China stock market up to 10/12/2009.

Abstract: Information extraction for space objects based on narrowband radars is still a hot spot in the field of automatic target recognition. The attitude stability of space objects can be determined by randomicity and periodicity detection for RCS series. In this paper, a nonparametric statistics theory called run test is adopted to perform randomicity detection. Autocorrelation function and cepstrum analysis are used to judge periodicity and estimate the rotate speed for rotary targets. What’s more, a novel method is proposed here for attitude stability determination according to the rule of posture angle altering. The experiments with real data indicate the effectiveness of the methods.

Abstract: With the expanding of economic development and social demand of electricity, the issue of electricity behavior trust becomes into one of the bottleneck of the power supply enterprise on cutting down line loss and increasing profits. Traditional electricity behavior management level has certain limitations, therefore it have been established a hierarchy evaluation model for electricity behavior trust in each month and a assessment model based on sliding window for long-term electricity behavior trust. Considering the history and recent records, assisting managers not only grasp the current state of the customer's consumption behavior but also master the long-term development trends of behavior trust and improving the management level for the ultimate goal to increase the corporate profits from conserving energy and lowering line loss.

Abstract: With the increasing risk in electric power bureaus, warning risk of enterprise operating ability in advance is an important work. However it is very difficult to establish stable functions to describe the mapping relationship between operating ability and associated causal influences. Hence, early warning of the operating ability is harder. In this paper, an early warning model based on BP neural network is designed and put forward to forecast the risk of operating ability of an electric power bureau. In addition, illustration by the experiment is given. The stable and accurate analysis result of the experiment shows that this early warning model is applicable to forecast the risk of operating ability of electric power bureaus.

Abstract: A method of parameters estimation of spaceborne synthetic aperture radar based on combination algorithm of STFT and FRFT is proposed in this paper. Parameters here namely frequency centroid and frequency rate characterize the transmitted signal of spaceborne SAR. Estimation the parameters of the single way SAR signal is very important in ESM system. The combination algorithm of STFT and FRFT proposed in this paper overcomes the inaccuracy of direct estimation by STFT and large computation burden of pure FRFT. Simulation results show that this method is feasible and effective in improving the accuracy and reducing computational complexity for parameters estimation of spaceborne SAR.

Abstract: This paper presents a new type of high-speed error correction for the requirements of new high-Speed Bus. Use RS (255, 239). Not only optimization traditional algorithm, but also design bidirectional synchronous calculated adjoint form module, Fast B-M algorithm module. and full parallel Chien Search module. These design used in new high-Speed Bus, Larger than usual decoder designed to significantly shorten the critical path decoding, and achieve continuous decoding. In addition, this error correction system separated error detection and correction module modules, And after error detection module add intelligent control, which reduced the complexity and power consumption of equipment. The error correction system design for the requirements of the new bus which speed is above 400m / s.

Abstract: Monthly electric energy demand forecasting plays an important role for the running of power system. China has two tow calendars and they works at the same time. Holidays designed by the lunar calendar affect the regularity of monthly electric load recorded only by the Gregorian one. The normal fuzzy transform is advanced here to quantitatively describe the impact of the Spring Festival and further divided the influence into Jan. and Feb. After excluding the influence, the amended historical data are adopted to training RBF neural network. Experiment results show that because the regularity of raw data is improved, the generalization ability and forecasting precise of RBF neural network are improved.

Abstract: An instability result of multimedia Systems is given by means of the analysis and computing method.