Gao Hongxia
South China University of Technology
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Publication
Featured researches published by Gao Hongxia.
international symposium on intelligent control | 2007
Liu Haiming; Hu Yueming; Yuan Peng; Gao Hongxia; Zhang Mei
This paper analyzes optimization algorithms of assembly time for a multi-head mounter. A step-by-step heuristic optimization algorithm is proposed to minimize the PCB assembly time for a multi-head mounter. By relaxing the restrictions on the problem and employing a flexible approach for feeder and head assignment, the algorithm reduces the assembly time by minimizing cycles of pick and placement, constructing the simultaneous pickup and implementing the nearest placement. The production results show that the proposed algorithm has good performance in practice.
international conference on networking sensing and control | 2010
Zhou Wu; Hu Yueming; Gao Hongxia; Yuan Peng
This paper presents an elliptical Fourier descriptor for locating surface mounted components (SMC) in real-time environments. The proposed technique just uses the contour of SMC to estimate the rotational angle and the centroid, which is different from the traditional methods. The first-order harmonic of Elliptical Fourier descriptor is used to estimate the angle of components and the zero-order harmonic is used to estimate the centroid of components. Results of the experiments confirm that the proposed method is a powerful tool for locating SMC.
international conference on networking sensing and control | 2010
Zhou Wu; Hu Yueming; Gao Hongxia; Yuan Peng
This paper presents a model-based method for localization and measurement of various surface mounted devices. The proposed method uses all the image information and without feature extraction, it can be very accurate, efficient and robust. In our algorithm, the phase correlation is used for scale, rotation and translation estimation. In the part of scale and rotation estimation, we implement log-polar transform of magnitude spectrum; the scale and rotation are extracted by using phase correlation in log-polar space. In the part of translation estimation, we firstly generate the ideal model of surface mounted devices and adopt scale and rotation transforms to the model, and then the translation estimation can be obtained by phase correlation. Finally, representative experimental results on ideal and real gray-level surface mounted devices images show that the proposed approach is applicable to Scale-roto-translation estimation within a specified degree of accuracy. The proposed method can become an effective technique to inspect all kinds of surface mounted devices with arbitrary shapes which is suitable for a pick-and-place system used by semiconductor assembly.
international symposium on intelligent control | 2007
Gao Hongxia; Hu Yueming; Liu Haiming; Fang Xiaosheng
Archive | 2014
Gao Hongxia; Chen Kewei; Wu Lixuan; Hu Yueming
Archive | 2014
Gao Hongxia; Kang Hui; Hu Yueming; Zhang Xichun; Ma Ge
Archive | 2014
Gao Hongxia; Chen Xinyuan; Chu Fuguo; Mai Qian; Hu Yueming; Liu Yu
bioinformatics and biomedicine | 2015
Gao Hongxia; Luo Yinghao; Chen Kewei; Ma Ge; Wu Lixuan
Archive | 2014
Gao Hongxia; Wan Yanying; Hu Yueming
Archive | 2014
Gao Hongxia; Chen Kewei; Li Zhifu; Hu Yueming