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Ya-Jun Zhang - IEEE Xplore Author Profile
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Ya-Jun Zhang

Publications
8
Citations
83
Publications by Year
20002015
Co-Authors:
Image of author Ya-Jun Zhang

Ya-Jun Zhang

Affiliation

School of Electrical and Electronic Engineering
Chang Chun University of Technology
Changchun, China

Publication Topics

Biography

Ya-Jun Zhang received the B.S. and M.S. degrees, both in computer science, in 1995 and 1997, respectively, both from Tsinghua University, Beijing, P.R. China. He received the Ph.D. degree in computer science from the University of Melbourne, Australia, in 2001.,He is currently a Senior R&D Engineer in the Silicon Valley. His research interests include neural networks, fuzzy systems and applications, soft computing algorithms, image processing and web mining, broadband networks, and communication systems.(Based on document published on 7 August 2002).
Publications
8
Citations
83
Publications by Year
20002015
Co-Authors:
Author's Published Works

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Battery SOC estimation based on multivariate adaptive regression splines

Xing Jin;Bing-Yan Li;Ya-Jun Zhang

2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
Year: 2015 | Conference Paper |
The voltage, current and temperature are used as input variables in this paper. The SOC estimation of the lithium iron phosphate battery is achieved by the method of multivariate adaptive regression splines (MARS). The data obtained by the test is standardized, which can be then used in the train of the SOC estimation mathematical model. After that the model is verified. The simulation results sho...Show More

Battery SOC estimation based on multivariate adaptive regression splines

Xing Jin;Bing-Yan Li;Ya-Jun Zhang

Year: 2015 | Conference Paper |

Zero power control of 0.5 KWh class flywheel system using magnetic bearing with gyroscopic effect

Ya-Chong Zhang;Guo-Ji Sun;Ya-Jun Zhang

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422)
Year: 2003 | Conference Paper |
This paper proposes a new method how to construct the reduced-order model of rotor system with gyroscopic effect used for control system design of closed loop system. In order to demonstrate the validity of this method, the controlled model and zero power control of a 0.5 KWh class flywheel system using magnetic bearing with gyroscopic effect are given in this paper. The proposed method is verifie...Show More

Zero power control of 0.5 KWh class flywheel system using magnetic bearing with gyroscopic effect

Ya-Chong Zhang;Guo-Ji Sun;Ya-Jun Zhang

Year: 2003 | Volume: 2 | Conference Paper |

Rule extraction using a neuro-fuzzy learning algorithm

Zhi-Qiang Liu;Ya-Jun Zhang

The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.
Year: 2003 | Conference Paper |
In this paper we present a neural-fuzzy approach to rule extraction, which is based on a generic definition of incremental perceptron and a new competitive learning algorithm we recently developed. It extracts a suitable number of rule patches and their positions and shapes in the input space. Initially the rule base consists of only a single fuzzy rule; during the iterative learning process the r...Show More

Rule extraction using a neuro-fuzzy learning algorithm

Zhi-Qiang Liu;Ya-Jun Zhang

Year: 2003 | Volume: 2 | Conference Paper |

The H/sub /spl infin// control of 10MWh class energy storage flywheel system using superconducting magnetic bearing without gyroscopic effect

Ya-Chong Zhang;Ya-Jun Zhang;Guo-Ji Sun

Proceedings. International Conference on Machine Learning and Cybernetics
Year: 2002 | Conference Paper |
Cited by: Papers (1)
The paper is concerned with a feasibility study to realize a 10MWh class energy flywheel system based on computer simulation. First, we propose a quantitative size and specification of the 10MWh class energy storage flywheel system. Then conceptual design, vibration analysis, control model, and stability control are discussed.Show More

The H/sub /spl infin// control of 10MWh class energy storage flywheel system using superconducting magnetic bearing without gyroscopic effect

Ya-Chong Zhang;Ya-Jun Zhang;Guo-Ji Sun

Year: 2002 | Volume: 1 | Conference Paper |

Experimental verification for zero power control of 0.5KWh class flywheel system using magnetic bearing with gyroscopic effect

Ya-Chong Zhang;Guo-Ji Sun;Ya-Jun Zhang

Proceedings. International Conference on Machine Learning and Cybernetics
Year: 2002 | Conference Paper |
This paper proposes a new method on how to construct the reduced-order model of rotor system with, gyroscopic effect used for control system design of closed loop system. In order to demonstrate the validity of this method, the controlled model and zero power control of a 0.5KWh class flywheel system using magnetic bearing with gyroscopic effect are given in this paper. The proposed method is veri...Show More

Experimental verification for zero power control of 0.5KWh class flywheel system using magnetic bearing with gyroscopic effect

Ya-Chong Zhang;Guo-Ji Sun;Ya-Jun Zhang

Year: 2002 | Volume: 4 | Conference Paper |

Self-splitting competitive learning: a new on-line clustering paradigm

Ya-Jun Zhang;Zhi-Qiang Liu

IEEE Transactions on Neural Networks
Year: 2002 | Volume: 13, Issue: 2 | Journal Article |
Cited by: Papers (80)
Clustering in the neural-network literature is generally based on the competitive learning paradigm. The paper addresses two major issues associated with conventional competitive learning, namely, sensitivity to initialization and difficulty in determining the number of prototypes. In general, selecting the appropriate number of prototypes is a difficult task, as we do not usually know the number ...Show More

Self-splitting competitive learning: a new on-line clustering paradigm

Ya-Jun Zhang;Zhi-Qiang Liu

Year: 2002 | Volume: 13, Issue: 2 | Journal Article |

Curve detection using a new clustering approach in the Hough space

Ya-Jun Zhang;Zhi-Qiang Liu

Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0
Year: 2000 | Conference Paper |
Cited by: Papers (1)
Detecting curves (straight lines, circles, ellipses, etc.) from an image is one of the basic tasks in computer vision. The Hough transform (HT) and its variants have been the commonly used curve detecting methods. However, quantization of the Hough space has serious problems ranging from loss of accuracy to detection of artifacts due to false alignments in the image. Researchers have applied clust...Show More

Curve detection using a new clustering approach in the Hough space

Ya-Jun Zhang;Zhi-Qiang Liu

Year: 2000 | Volume: 4 | Conference Paper |

Image quantization using Self-Splitting Competitive Learning

Ya-Jun Zhang;Zhi-Qiang Liu

Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0
Year: 2000 | Conference Paper |
Cited by: Papers (1)
We have developed a new, robust clustering algorithm, Self-Splitting Competitive Learning (SSCL). It has shown great abilities in detecting not only isolated clusters, but overlapped clusters, curves and spherical shells. We apply SSCL to quantization of color images. The clustering algorithm iteratively partitions the color space into natural clusters without a prior information on the number of ...Show More

Image quantization using Self-Splitting Competitive Learning

Ya-Jun Zhang;Zhi-Qiang Liu

Year: 2000 | Volume: 2 | Conference Paper |

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