中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787
作者:  Erphan A. Bhuiyan;  Md. Maeenul Azad Akhand;  Sajal K. Das;  Md. F. Ali;  Z. Tasneem;  Md. R. Islam;  D. K. Saha;  Faisal R. Badal;  Md. H. Ahamed;  S. I. Moyeen
浏览  |  Adobe PDF(2346Kb)  |  收藏  |  浏览/下载：241/91  |  提交时间：2021/02/22
Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 123-138
作者:  Bin Ge;  Hai-Bo Luo
浏览  |  Adobe PDF(2559Kb)  |  收藏  |  浏览/下载：149/53  |  提交时间：2021/02/22
Logistic chaotic system  quantum key  nonlinear operation  sequence performance  image encryption algorithm.  
Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 279-291
作者:  Farid Menacer;  Abdelmalek Kadr;  Zohir Dibi
浏览  |  Adobe PDF(1651Kb)  |  收藏  |  浏览/下载：197/61  |  提交时间：2021/02/22
Nano force  sensor  carbon nanotube (CNT)  finite elements  neural network.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：210/43  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
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
浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：225/57  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).  
Binocular Vision Object Positioning Method for Robots Based on Coarse-fine Stereo Matching 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 562-571
作者:  Wei-Ping Ma;  Wen-Xin Li;  Peng-Xia Cao
Adobe PDF(1234Kb)  |  收藏  |  浏览/下载：178/54  |  提交时间：2021/02/22
Object positioning  stereo matching  random fern  normalized cross correlation  binocular vision model.  
Kinematic Analysis of an Under-actuated, Closed-loop Front-end Assembly of a Dragline Manipulator 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 527-538
作者:  Muhammad A. Wardeh;  Samuel Frimpong
浏览  |  Adobe PDF(1312Kb)  |  收藏  |  浏览/下载：233/74  |  提交时间：2021/02/22
Dragline mining manipulator  underactuated closed-loop mechanism  generalized speeds  Baumgarte′s stabilization technique (BST)  feedforward displacement.  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:  Wei-Ning Wang;  Qi Li;  Liang Wang
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：189/32  |  提交时间：2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.  
DiscoStyle: Multi-level Logistic Ranking for Personalized Image Style Preference Inference 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 637-651
作者:  Zhen-Wei He;  Lei Zhang;  Fang-Yi Liu
浏览  |  Adobe PDF(1364Kb)  |  收藏  |  浏览/下载：181/38  |  提交时间：2021/02/22
Facial preference  feature representation  logistic regression  face recommendation  transfer learning.  
Item Response Theory Based Ensemble in Machine Learning 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 621-636
作者:  Ziheng Chen;  Hongshik Ahn
浏览  |  Adobe PDF(1163Kb)  |  收藏  |  浏览/下载：197/101  |  提交时间：2021/02/22
Classification  ensemble learning  item response theory  machine learning  expectation maximization (EM) algorithm.