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Hongyuan Wang
Changzhou University

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Fuzzy c-Means and Mean Shift Algorithm for 3DPoint Clouds Denoising Tongguang Ni; Xiaoqing Gu; Hongyuan Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5546-5551

Abstract

In  many  applications,  denoising  is  necessary  since  point-sampled  models  obtained  by  laser  scanners  with  insufficient  precision.  An  algorithm  for  pointsampled surface is presented, which combines fuzzy c-means clustering with mean shift filtering algorithm. By using fuzzy c-means clustering, the large-scale noise is deleted  and  a  part  of  small-scale  noise  also  is  smooth.  The  cluster  centers  are regarded  as  the  new  points.  After  acquiring  new  point  sets  being  less  noisy,  the remains noise  is smooth by mean shift  method. Experimental results demonstrate that the algorithm can produce a more accurate point-sample model efficiently while having better feature preservation.
The Research of the Intelligent Device Management and Diagnostic Cao Pan; Jian Tao; Hongyuan Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 By our research and implementation of intelligent device management and diagnostic system which are based on Wireless HART Technology. In this essay we focus on the application of the wireless HART intelligent devices, explaining the wireless HART protocol and its four-level model, putting forward the wireless HART-USB potable gateway, by which the operating personnel at the scene can obtain data for diagnosis and modification directly from the PC. Then we briefly discuss the design module of intelligent device management system. In the end, we mainly emphasize on the introduction of the mathematical model which is based on the pneumatic control regulator and is used for diagnosis. And we represent the steps of verifying its correctness. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1631
Hybrid Encryption Algorithm Based on Spatial and Gray Level Information Suolan Liu; Chen Chen; Yue Chen; Hongyuan Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp569-575

Abstract

Based on the analysis of the defect of traditional image scrambling methods, a new hybrid scrambling algorithm is proposed. It uses image’s spatial and gray level information. Comparative experiments show it has the advantages of easy implementation, large key space, and good scrambling effect by only one time scrambling instead of many times processing.
Co-Authors Cao Pan Chen Chen Jian Tao Suolan Liu Tongguang Ni Xiaoqing Gu Yue Chen