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A Fast Compression Framework Based on 3D Point Cloud Data for Telepresence 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 855-866
作者:  Zun-Ran Wang;  Chen-Guang Yang;  Shi-Lu Dai
浏览  |  Adobe PDF(1401Kb)  |  收藏  |  浏览/下载：200/66  |  提交时间：2021/02/22
3D point cloud compression  motion estimation  signatures of histograms orientation  3D point cloud matching  predicted frame and intra frame.  
A Computational Model for Measuring Trust in Mobile Social Networks Using Fuzzy Logic 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 812-821
作者:  Farzam Matinfar
浏览  |  Adobe PDF(696Kb)  |  收藏  |  浏览/下载：683/531  |  提交时间：2021/02/22
Trust  fuzzy clustering  mobile social networks  trust calculation model  fuzzy logic.  
Orientation Measurement for Objects with Planar Surface Based on Monocular Microscopic Vision 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 247-256
作者:  Ying Li;  Xi-Long Liu;  De Xu;  Da-Peng Zhang
Adobe PDF(1603Kb)  |  收藏  |  浏览/下载：238/66  |  提交时间：2021/02/22
Microscopic vision  micro assembly  orientation measurement  optimization  analytical computation.  
HDec-POSMDPs MRS Exploration and Fire Searching Based on IoT Cloud Robotics 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 364-377
作者:  Ayman El Shenawy;  Khalil Mohamed1, Hany Harb
浏览  |  Adobe PDF(1792Kb)  |  收藏  |  浏览/下载：155/52  |  提交时间：2021/02/22
Multi-robot systems  hybrid decentralized partially observable semi-Markov decision process (HDec-POSMDPs)  multi-robot systems (MRS) exploration and fire searching  cloud robotics  cloud computing.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：194/49  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).