An artificial immune and incremental learning inspired novel framework for performance pattern identification of complex electromechanical systems SCIENCE CHINA Technological Sciences 63, 1 (2020); A high-sensitive detection method for carvone odor by implanted electrodes in rat olfactory bulb Chinese Science Bulletin 59, 29 (2014); An evaluation framework for energy aware buildings using statistical model checking SCIENCE CHINA Information Sciences 55, 2694 (2012); Energy conversion characteristics of reciprocating piston quasi-isothermal compression systems using water sprays

A stable edge weighted HOG feature extraction and template matching algorithm is proposed in this paper to match the target on the ground. Firstly, the stability of each edge fragment, represented by the relative change of the skeleton over a given range of threshold of a map was analyzed to select the steady ones. And a singular edge image was described with a forest structure. Then 2D template images are obtained by projecting a 3D model of the target which is constructed from the 3D data of the scene with the real time observation parameters, and are manually labeled to reserve the borderlines. Finally, edge weighted HOG features are extracted and the characteristics of the template image matching to achieve target recognition. The experimental results show that the proposed method is effective and robust. It achieved good recognition performance in any case of noise, shade and view angle, distance and complex background environmental conditions.

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Nanohole arrays can serve as a sensing unit for cellular physiologic properties such as cell adhesion. Multiplexing these nanohole arrays to immobilize or capture a single cell would largely facilitate cell adhesion assay in one single chip. To this end, a micro-nano-fluidic single-cell capture structure was designed, consisting of four sections: a main top channel, a cell capture region, nanohole arrays and a bottom channel. A simplified micro-nano-fluidic model has been established involving two important fluidic parameters (i.e. inlet flow velocity and outlet negative pressure) that drive the cell flow to the cell capture region deployed above the nanoholes. Through simulation, for a certain micro-nano structure, capture efficiency decreases as the fluid velocity and viscosity at the main channel inlet increase but increases as the negative pressure applied via the bottom channel outlet does so. Fabrication of nanoholes has been tried for future experimental test. Our study provides a new thought for the design of microfluidic single-cell capture chips based on nanohole arrays.