In order to get better speech enhancement effect for hearing aids when used in the environment with non-stationary or multiple noise, which will lead a sharp decline effect of user experience, a Coherent Filter Generalized Sidelobe Canceller (CF-GSC) speech enhancement algorithm based on small size microphone array was proposed. Aiming at the weak correlation noise which caused by the waves, fans and other approximate white noise, as well as the strong correlation noise caused by the point or other competitive sources, coherent filtering and traditional Generalized Sidelobe Canceller (GSC) structure were utilized to remove weak correlation and strong correlation noise separately, the Voice Activity Detection (VAD) algorithm was also applied during this process. The simulation results show that the proposed algorithm can obtain enhancement effect by almost 2 dB compared with the improved coherent filter and traditional generalized sidelobe canceller method under the environment of a variety of noise, meanwhile, the speech intelligibility also gets obviously improved.

A hybrid control method based on backstepping and fuzzy adaptive Proportion-Integration-Differentiation (PID) was proposed, which improved the flight stability of quadrotor aircraft in different environment. The method selected the current appropriate controller according to the Unmanned Aerial Vehicles (UAV) flight environment, large attitude angle, and large attitude angular velocity. In the case of the system undisturbed, backstepping-based control algorithm could complete trajectory tracking. In case of disturbance, fuzzy adaptive PID could greatly suppress the impact of disturbance and realize the precise control of quadrotor aircraft. The Matlab simulation analysis and practical experiments illustrate that the stability augmentation hybrid controller can effectively realize the stability.

Geometric transforms of the object in the imaging process can be represented by affine transform in most situations. Therefore, a method for shape matching using corners was proposed. Firstly, the corner of contour using Multi-scale Product Laplacian of Gaussian (MPLoG) operator was detected, and the feature points based on corner interval were adaptively extracted to obtain the key feature of shape. In order to cope with affine transform, the similarity of two shapes on Grassmann manifold Gr(2,n) were represented and measured. Finally, the iterative sequence shift matching was adopted for overcoming the dependency of Grassmann manifold on the starting point, and achieving shape matching. The proposed algorithm was tested on the database of shapes. The simulation results show that the proposed method can achieve shape recognition and retrieval effectively, and it has strong robustness against noise.

The identification of one-way road state can provide relevant information of road network to the public timely and accurately, improve the efficiency of public travel, and enhance the service level of dynamic traffic information. This paper presented a dynamic identification algorithm of one-way road state based on Floating Car Data (FCD). Firstly the line feature information of maps was got, and the matching of spatial information grid with the traffic roads was pretreated to achieve fast matching for massive FCD; Then statistical characteristics of FCD direction information was analyzed to filter dual-threshold information and direction information; Finally one-way road state information was got dynamically. The actual road network tests show the algorithm can identify one-way road state information effectively.

DDoS attack is hard to detect in backbone network, for the reason that attack flows are distributed in multiple links and prone to be masked by tremendous amounts of background traffic. To solve this problem, a detection method based on global abnormal correlation analysis was proposed. The change of correlation between traffic caused by attack flows was exploited for attack detection, the correlation between potentially anomalous traffic was extracted by principle component analysis, and its change degree was used as an indicator of attack. Evaluation shows effectiveness of the proposed method, and proves that it overcomes the difficulties in detecting relatively low volume of DDoS attack transiting in backbone network. Compared with the existing network-wide detection method, it achieves higher detection rate.

Embedded operating systems become increasingly significant, which run on the resource-limited home appliances and industry instruments. Meanwhile people pay more and more attention to 3D technique. Therefore it is necessary to transplant Direct3D to embedded operating systems. The transplant and research of Direct3D based on CAR component technique on ElastOS were analyzed. The realization of ElaD3D interfaces on ElastOS and Windows synchronously and the exertion of CAR component programming ideas in the transplant of Direct3D were expatiated. So client programs can register some or other event handling function solely so as to predigest programming greatly.