Abstract:The paper presents an algorithm combining square response surface and Radial Basis Function Neural Network (RBFNN) to solve the problem that RBFNN is often difficult to meet the precision request of approximation model. By using this method the extended error of the approximation model is diminished, the approximation precision is improved, and the flexibility is enhanced based on having the same sample points. Two numerical examples indicate that the method is effective in increasing the approximation precision and can be used to increase the design efficiency and quality in multidisciplinary design optimization (MDO).

Abstract:Firstly, the flaw of separately analyzing performance indexes in military aircraft demonstration is pointed out. Then, the stealth and altitude indexes are demonstrated; by synthetically analyzing the relationship between the stealth and altitude indexes, and combined with the result of analogy analysis, the requirement of stealth and altitude indexes is formed finally.

Abstract:The fault modes and system reliability of the flap control system of a certain type of military trainer are studied in the paper. Some possible fault modes of the system are analyzed in detail. The fault tree of the system is built by considering that the flap cannot be laid down. The fault probability of the system and the degrees of importance of elements are computed by means of a new algorithm proposed for network systems in a previous paper. All the results provide a foundation for the maintenance crew in their practical maintenance work.

Abstract:Based on dynamics equation of aircraft flying at high angles of attack, the dynamical characteristics of aircraft flying at pitching on condition of high angles of attack are qualitatively analyzed. The flying stabilities are raised on the basis of various matching parameters, and then the stable field of aircraft can be divided.

Abstract:A path planning method for UAVs is presented. First, through mission scenario, a Voronoi diagram is constructed, based on this, space decomposition network model and Resenthal algorithm are used to compute the coarse path - a series of straight-line segments and not flyable. Then, using a series of cubic splines to connect these straight - line segments, the path is refined into an optimal one that is flyable for the UAVs. Simulation result shows that this method is simple, effective and of a certain value in application.

Abstract:According to the needs of representation and quantification of such uncertainty, a fuzzy rough property set model is set up based on the fuzzy rough set theory and applied to the representation of uncertain knowledge of the aircraft type R&D experience. The result shows that the approach is reasonable, feasible and effective.

Abstract:Global Positioning System is a new generation satellite navigation and positioning system. This can provide fine precision, multi-dimensional space-time position and velocity information. According to the positioning principle of Global Positioning System, the theory of flight dynamics and the signal system of Instrument Landing System, this paper builds up a model of the Instrument Landing System flight inspection, in which the Global Positioning System is adopted as a benchmark system in order to direct the further research.

Abstract:For the sake of transferring qualitative evaluation into quantitative one in the airport functional section suitability evaluation, the principle of fuzzy comprehensive appraisal is applied to this subject and the plan of certain airport is taken for example in exploring some key techniques in this process in combination with GIS. The result of evaluation reflects the internal request of each airport function section preferably. The model of evaluation expresses the effect of each factor on the suitability of function section planning closely. This sets up the foundation for carrying out the airport planning computer decision system finally.

Abstract:In order to test the dynamic performance of voltage adjustor under the environment of disengaging generator drag test - bed, this paper designs a simulator based on magnetic amplifier, which, in combination with automatic test technology of computer, can achieve the purpose in testing the dynamic performance of voltage adjustor under the environment of disengaging generator drag test-bed. It is demonstrated by trial result that this method achieved the purpose, and the feasibility of this scheme is verified.

Abstract:The principle and foundation of selecting and sequencing the important defending targets in defense zone are analyzed. On this basis, the index system of evaluating the importance degree of defending targets is built. The analysis shows that the selecting problem of defending targets is a special uncertain multi-attribute decision making problem. A solution to this problem is given out. Finally, an example is used to show that the solution is feasible and effective.

Abstract:A mathematical model of air defense optimization disposition is established. In view of air defense disposition characteristics, the paper puts forward the generation method of initial population, and designs a genetic algorithm to solve the model, and finally achieves ideal optimization verified by an example.

Abstract:Aim Terrain analysis is one important procedure in route planning for Cms. The main aim of it is to promote the real terrain matching probability, in this way, the targets can be destroyed successfully. By using the methods with FBM function, the formulas of finding the fractal dimension value and the variance are deduced. Especially a flow chart of the terrain analysis based on fractal dimension is proposed. Based on the deduced formulas the two character values are calculated and the corresponding matching probabilities are compared. Examples show that the constraint of fractal dimension in route planning can obviously increase the successful terrain matching probability.

Abstract:The Nearest Near Joint Probabilistic Data Association (NNJPDA) is not used directly in multi-sensor multi-target tracking. This paper presents a method of implementing multi-sensor multi-target tracking by combining maximum likelihood estimation with the Nearest Near Joint Probabilistic Data Association (NNJPDA). The maximum likelihood estimation is used to classify the same source observations at one time into the same set, and then NNJPDA is used to implement multi-target tracking. The theoretical analysis and computer simulation show that this algorithm can achieve multi-sensor multi-target tracking perfectly with low calculation load added and higher precision.

Abstract:A new definition of geographical gridding and its code is presented aiming at network warfare. Data of various radars are fused by using a method of grey incidence, which can be used to diminish the measuring error caused by jam and other random factors. This method can make the target information more unified and accurate, and at the same time the anti-jam ability of the radar is enhanced in the sense of data processing. At last, an example is given to validate the feasibility and validity of this method.

Abstract:Performance analysis is made using the irregular LDPC codes for the OFDM system based on the static uncorrelated multi-path Rayleigh fading channel and the comparison with regular LDPC codes. It shows that the performance of irregular LDPC codes is better than that of the regular LDPC codes in any modulation and any map code. The BER in Gray map mode is superior to that in nature map mode in performance at the same condition.

Abstract:This paper presents an analytical model that can be used to evaluate the blocking probability of each service class in a multi-class optical burst - switching network. The model allows, for the first time, the evaluation of blocking probabilities in optical burst switching (OBS) systems with arbitrary burst -length distributions and arbitrary offsets, including OBS systems in which all classes are different in mean burst length. Such systems do not follow the conservation law and cannot, therefore, be analyzed using previously published OBS models. For an OBS system with two classes, an offset load of 10-3, and a 1 : 5 ratio of high - priority to low - priority traffic, this shows that the model accurately predicts the blocking probability for each class, whereas predictions from previously published models that assume conservation disagree with the simulation results by as much as 75%.

Abstract:This paper analyzes the challenges in current IDS and network security management, proposes an anomaly intrusion detection module with integrating NM by making full use of information in MIB II. The experiment results show that the model performs well in detecting some traffic-based intrusion such as DDoS. This technology can play an important role in the integration of the IDS and NMS.

Abstract:In this paper, the architecture and design principles of traitor tracing system based on digital fingerprinting (watermarking) are presented. The realization of traitor tracing system under the condition of private key, blind detection, transform field, invisible fingerprinting is presented, further more, the limitation and the problem to be further studied in the system are also discussed.

Abstract:The OFDM system is characterized by the Gaussian - like signal behavior with a relatively high peak-to-average power ratio (PAPR). As a result, the performance of OFDM system is very sensitive to nonlinear distortions, which arise mainly from the high power amplifier (HPA). In addition, the wideband characteristics of transmitted signals cause the nonlinear distortions to be frequency - dependent. This paper proposes an identification-based adaptive pre-distortion scheme, which is constructed by using the indirect learning architecture, to compensate nonlinearity of the HPA with memory effects. Simulation results show that the proposed adaptive pre-distortion scheme can effectively suppress spectral re-growth and reduce in - band distortion for HPA with memory.

Abstract:In system - level fault diagnosis, the computation of test's information gain directly affects the efficiency of diagnosis strategy. After the building of the channel model of test, the computation method of test's information gain based on mean mutual information is presented. The complexity of the method is 0 (mnlogn2). The channel model and its information gain computation method build a precise foundation for quantitative analysis of system - level fault diagnosis.

Abstract:This paper presents a mathematic model of induction motor under two phase static framework, and puts forward an implementation of sensorless vector control system based on the rotor magnetic field orientation. The control principle of the system is described in detail. At last, the validity of the model and the control method is verified by the MABLAB / SIMULINK simulation experiment.

Abstract:The basic theory and simulation tools - CPN Tools of Colored Petri Nets are introduced in this paper. The common flow and correlative parameters of BDAR for communication equipment are described, and then CPN model of BDAR system is built, and one instance is simulated successfully. The improvement project of BDAR system is presented by analyzing the results of the original project, and system effectiveness optimization is realized ultimately. The result proves that BDAR system model for communication equipment in this paper is scientific and practical.

Abstract:In this paper stochastic resonance of FHN neuron model when there exists only the response of suprathreshold oscillation with weak periodic signal is studied. The results of research show: A bifurcation of transition from two attractors (suprathreshold oscillation and sub-threshold oscillation) to one attractor (suprathreshold oscillation) occurs with the increase of bifurcation parameter, when the bifurcation parameter of system is on the right side of bifurcation point there exists only the response of suprathreshold oscillation in FHN neuron model excited by weak signal, in this case, under the modulation of external noise or internal noise, the energy of system response concentrating on the frequency of input signal, and the curve of signal - noise - ratio (SNR) of system response vs noise extensity is a mon - peak curve, stochastic resonance occurs, and the mechanism of stochastic resonance in this case is related to the transitions among the three attractors ( two before bifurcation and one after it) on the left and right sides of bifurcation point.

Abstract:The traditional back-propagation algorithm has some disadvantages, for instance, the speed of learning convergence is too slow and local extreme values are present in the process of search sometimes. In order to solve the problems described above, this paper applies adaptive learning rate and momentum term to improve the general back-propagation algorithm. Taking the circuit system's fault diagnosis for example, the basic fault features are transformed by means of using the fuzzy sets of fuzzy mathematics, and take as the inputs of the adaptive neural network. And then, the fault codes are used as the outputs of adaptive neural network. The experiment simulation results show that this method can be used to diagnose and identify the fault types of circuit system effectively.

Abstract:By mathematics and theoretic mode, the process of pulsed laser deposition of thin copper film is studied. The evolvement of plasma generated by the pulsed laser is simulated and based on this the distributions of consistence and velocity are discussed. Moreover, the physics mechanism in the process of pulsed laser deposition is explained. The results obtained are compared with the experiments and other articles.

Abstract:To solve the evaluation for result - layer of integration supply chain, and combine rough sets and fuzzy mathematics theory, a multistage dynamic fuzzy comprehensive evaluation is proposed, which is based on the evaluation index system of integration supply chain. The evaluation is applied to quantitative measurement of the whole benefits and performance of result - layer of integration supply chain. Finally, the analysis of instance shows that this method has practicability in evaluating the performance of integration supply chain.

Abstract:Based on a great deal of test data, all empirical formulas for projectiles penetration into concrete have a limited domain in engineering. According to the principle of gray correlation analysis, a comparison data sequences are composed of multiply factors that influence the penetration depth. Meanwhile, the reference data sequences are also organized by the actual parameters. A common method for choosing the empirical formula of penetration depth is presented based on the model of gray optimal theory. The results of example show that the result of the gray correlation analysis is consistent with the experiment result, and the error of penetration depth is less than 5%.