Sanfeng Chen

Shenzhen Institute of information technology, Shen-ch’üan-shih, Zhejiang Sheng, China

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Publications (9)0.2 Total impact

  • Huijing Wang · Yunxia Liu · Xingming Liu · Junyao Liu · Sanfeng Chen

    No preview · Conference Paper · Jun 2014
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    Xianyi Ren · Wei Liu · Peng Duan · Sanfeng Chen
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    ABSTRACT: Image fusion is a process of combing multiple images of the same scene into a single image with the aim to preserve the full content information and retain the important features from each of the combined images. In this paper, a novel image fusion method based on Wavelet Transform (WT) and Visual Attention Mechanism (VAM) is proposed. Firstly, the source images are decomposed by WT to get the sub-images. Secondly, by using the VAM, the salience maps of the source images are formed, which can indicate the salient regions to the human visual system, i.e., the higher the saliency value is, the more important the location represent. The saliency maps are then used together with the match measure between the coefficients to guide the combination of the coefficients as follows: if the match measure at a given location is low, the coefficient from the source image with higher saliency is selected to be the fused coefficient. Contrarily, if the match measure at a given location is high, then the fused coefficients are calculated as the weighted sum of the coefficients extracted from both source images. The weights here are determined by the corresponding saliency maps of the source images. Finally, the fusion image is obtained by using the inverse WT transform. Experimental results applying the proposed algorithm show that the fused image keeps more visual meaningful information than other methods.
    Preview · Article · Oct 2009 · Proceedings of SPIE - The International Society for Optical Engineering
  • Huijing Wang · Junyao Liu · Sanfeng Chen
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    ABSTRACT: In this paper, the development of a novel 3D Platform system suitable for the measurement of human foot pressure distribution has been presented. The system measures plantar pressure between the foot and force platform during dynamic movement in real-time, which can be used in clinical gait analysis. It essentially consists of a 3D force measuring platform, and user-friendly software to graph and analyze the data. Meanwhile, a new type of Butterworth low-pass filter is designed to employ for the signals preconditioning, the interference signals of the pressure sensor signal can be effectively filtered. Also, the results obtained on the performance of the system are included.
    No preview · Conference Paper · Sep 2009
  • Sanfeng Chen · Huijing Wang · Xianyi Ren · Tao Mei
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    ABSTRACT: A novel PID controlling algorithm based on radial basic function neural networks (RBFNN) is proposed for the ground testing system for space robot. The testing system is with strong non-linearity and uncertainty. The parameters of PID controller are adjusted by RBFNN online. The torque is controlled by the output of circuit loop directly, which attains constant tense to simulate microgravity environment. The experimental results show that the controlling algorithm is effective, and the system is with good dynamic performance, sound robustness and good self-adaptive performance.
    No preview · Article · Aug 2009
  • Huijing Wang · Sanfeng Chen · Junyao Liu
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    ABSTRACT: Spatial plantar pressure measurement system were investigated to extract features of gait in clinical podiatry. In this paper, the design of a novel 3D platform system suitable for the measurement of human foot pressure distribution is proposed. This consists of a 3D force measuring platform equipped with sensor array, and user-friendly software to graph and analyze the data. Also, a proposed Butterworth low-pass filter for the signals preconditioning is employed effectively. The article describes the original concept and the performance of the system. Meanwhile, the extracted gait parameters are indicated in the end.
    No preview · Article · Aug 2009
  • Xiuqing Yang · Tao Mei · Minzhou Luo · Sanfeng Chen
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    ABSTRACT: ITER (international thermonuclear experimental reactor) tractor is an in-cask remote handling equipment, and its tilting and lifting mechanism is very important for the tractor to operate 45t plug in front of the ports of the hot cell and the VV (vacuum vessel) successfully. This paper was aimed at proposing a tilting and lifting mechanism to accurately grasp and operate the heavy-load plug in the ITER cask. The 3D virtual prototype of mechanism is presented and it is simplified as 7-linkage plane structure to reduce the complexity of analysis. The kinematics and dynamics characteristics of this mechanism were studied. To realize bidirectional solution of the movement, the motion parameters relationship between input and output was set up by the kinematics models. Based on Lagrange equation, the driving force of every joint for hydraulic cylinders was calculated. The results of dynamics simulation validated the correctness of calculation. The excellent hydraulic loop model was also built to guarantee the motion stability of system. All the above analytical models can provide intelligent control strategies for hydraulic cylinders of the mechanism to achieve the stable grasping and operation of heavy-load plug.
    No preview · Conference Paper · Jul 2008
  • Sanfeng Chen · Tao Mei · Minzhou Luo · Huawei Liang
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    ABSTRACT: Based on further study on the existing RPCCL (rival penalized controlled competitive learning) algorithms and discovering some drawbacks, a new advanced RPCCL clustering algorithm is proposed. The new algorithm initializes the clustering centers according to the density of sample points, and the weights are updated according to the location of input data. The simulation results show that the new advanced algorithm can perform clustering more accurately and rapidly.
    No preview · Conference Paper · Sep 2007
  • Sanfeng Chen · Tao Mei · Minzhou Luo · Xiuqing Yang
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    ABSTRACT: Because the number of iterations necessary to locate the global best solution is not known a priori, it's problematic to make a proper choice of inertial weights omega and constriction coefficients l of particle swarm optimization (PSO) algorithm in advance. The existing PSO algorithms are sensitive to the above two parameters. In addition, standard PSO algorithms convergence slowly and coarsely in the latter period. A new hybrid PSO algorithm is proposed to overcome the above shortcomings. The new algorithm utilizes original PSO algorithm for locating approximately a good local minimum, and then a conjugate gradient based local search is done with the best solution found by the PSO algorithm as its starting point for finding local minimum accurately. A new optimization circle begins with the accurate local minimum as global best particle. The simulation results show that the new algorithm convergences more fast and accurately than GA. It also shows better performance than GA in identifying the parameters of RBF neural networks.
    No preview · Conference Paper · Aug 2007
  • Shihong Zha · Tao Mei · Minzhou Luo · Weizhong Zhang · Sanfeng Chen
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    ABSTRACT: In this paper, a method of variable structure bang-bang controller is introduced. This controller is designed to implement the accurate control of the pneumatic shaft angle servo system and applied on three shafts of a space floating satellite simulation system. Simulation results show that the static and dynamic performance is excellent. The method is one of the most possible approaches to control the pneumatic PWM shaft angle servo system.
    No preview · Article · Aug 2007

Publication Stats

22 Citations
0.20 Total Impact Points


  • 2009
    • Shenzhen Institute of information technology
      Shen-ch’üan-shih, Zhejiang Sheng, China
  • 2007
    • Hefei Institute of Physical Sciences, Chinese Academy of Sciences
      Luchow, Anhui Sheng, China