Jiamin Liu
Chongqing University
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Publication
Featured researches published by Jiamin Liu.
The 14th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring | 2007
Tianwei Ma; Wenbin Zhao; Jiamin Liu
Two micro-optomechanical accelerometers based on Multi-Mode Interference (MMI) couplers were designed and evaluated in this study. The optical components were optimized with the Parameter Scan Method. According to the photoelastic effect, the change in refractive index of a waveguide made of crystal materials is related to the mechanical strains in the waveguide. In this study, such change was calculated using the mechanical strains obtained from the Finite Element Analysis (FEA) results. Beam Propagation Method (BPM) was used to study the relationship between the input acceleration and the output optical power and thus the performance of the proposed accelerometers. The results show the two designs are suitable for different acceleration ranges.
The 14th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring | 2007
Jiamin Liu; Xingjun Mo; Jiang Wang; Tianwei Ma; Yingjun Pan
In order to measure three-axis force, two four-part tactile sensing systems based on piezoelectricity and optics were designed and fabricated. The feasibility and reliability of the two systems were evaluated both numerically and experimentally. A general formula between the applied three-axis force and the four-part tactile sensing signals was developed. It is expected that this formula should benefit the design and fabrication of new tactile sensing systems.
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2007 | 2007
Jiamin Liu; Yijun Lan; Ying Zhou; Tianwei Ma; Yingjun Pan; Weiguo Gong
In this paper, multivariable linear regression analysis was employed to obtain the relationship among facial geometric features, and a discriminant function was used to evaluate the significance of different features. Finally, classification rates were compared with different combinations of geometric features. The results showed that the geometric feature with more significance probably improved the classification performance in the cases studied.
Archive | 2008
Jiamin Liu; Qiang Liu; Yinsong Pan; Ling Wang; Qi Yang; Lina Li; Haijun Xie
Archive | 2010
Jiamin Liu; Shengjun Zhu; Hongpu Huang; Haijun Xie; Zhaochun Qiu
Archive | 2009
Jiamin Liu; Shengjun Zhu; Yingjun Pan; Hongpu Huang; Lina Li
Archive | 2009
Yu Liu; Guohui Cheng; Leilei Li; Jiamin Liu; Liu Jun; Yongle Lu; Liaoliao Zeng; Yingjun Pan
Archive | 2008
Jiamin Liu; Lina Li; Jian Guo; Xingjun Mo; Haijun Xie
Archive | 2008
Jiamin Liu; Qi Yang; Liangliang Zhai; Yu Liu; Yinong Li; Ling Wang; Lina Li; Haijun Xie
Archive | 2007
Jiamin Liu; Ling Wang; Lina Li; Qi Yang; Yinong Li; Yu Liu; Xingjun Mo; Yijun Lan