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Grey Wolf Optimizer (GWO) is a new meta-heuristic optimization. It is inspired by the unique predator strategy and organization system of grey wolves. Since the GWO algorithm is easy to fall into local optimum especially when it is used in the high-dimensional data, an improved GWO algorithm combined with Cuckoo Search (CS) is proposed in this paper. By introducing the global-search ability of CS...
Blind people need guide tools to help them walk safely. The traditional guide tool is a guide rod. However, the guide rods always have shortages. With the development of technology, the electronic guide instrument for blind people has been designed. In this paper, infrared sensors are used to detect road information, and the information is analyzed by recognition algorithm. Then the electronic device...
Garbage collection as a key technology for solid-state storage (SSD), it's has critical influence for the SSD's performance. This article addressed the low efficiency, high cost problem of the presented Garbage Collection (GC) Algorithm, Proposed a new Efficient NAND Flash GC Algorithm Based on Area and Block (GCbAB) Operation. The algorithm is not only efficient, low cost, but took into account the...
In order to eliminate the influence on the immersion and realism for virtual reality simulation system environment, which is resulted from the color difference of the multi-projector display system, an optimization color correction algorithm based on projector-camera system is proposed. It considers the non-linear influence of both camera and projector. Unlike previous work, where the affection of...
The flight control system is the core of small unmanned gyroplane, in this paper, micro controller AT91M55800A chosen from ARM7 series is used to construct the control platform. In order to improve the stability and robustness of small unmanned gyroplane, this paper puts forward a kind of PID controller which based on improved Differential Evolution Algorithm so that the gyroplane can finally achieve...
Local linear embedding proposed that face data would found in some low dimensional subspace, All face data would be linearity denoted optimal with data in neighborhood of the data. The input space without linear separability be mapped into linear divisible high dimensional space by nonlinear map-ping. Structure kernel spread inner matrix based on local linear embedding and kernel fisher nonlinear...
To solve the problem which is complex in the open network environment this paper presents the dynamic multi-agent cooperative processing model combining mobile agents and computer supported cooperative work to process task mentioned above quickly and efficiently. Mobile agents which is dynamically created can load components from component library and migrate to the data's location according to the...
Background subtraction in highly dynamic scenes has been a critical challenge for traditional pixel-wise background models which perform poorly when the background has dynamic textures. In this paper, we consider background modelling in a spatial perspective and make an attempt to exploit more information from the outputs of pixel-wise model. We propose a background subtraction scheme using adaptive...
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