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A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
浏览  |  Adobe PDF(989Kb)  |  收藏  |  浏览/下载：446/211  |  提交时间：2019/05/04
Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载：115/30  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Key Crowdsourcing Technologies for Product Design and Development 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 1-15
作者:  Xiao-Jing Niu;  Sheng-Feng Qin;  John Vines;  Rose Wong;  Hui Lu
浏览  |  Adobe PDF(997Kb)  |  收藏  |  浏览/下载：178/53  |  提交时间：2021/02/22
Crowdsourcing technologies  product design and development (PDD)  communication  information sharing  design evaluation  feedback.  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Yuan Wu;  Hai-Bing Zhu;  Qing-Xiu Du;  Shu-Ming Tang
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：247/79  |  提交时间：2021/02/22
Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
Multi-layer Contribution Propagation Analysis for Fault Diagnosis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 40-51
作者:  Ruo-Mu Tan;  Yi Cao
浏览  |  Adobe PDF(1077Kb)  |  收藏  |  浏览/下载：102/37  |  提交时间：2021/02/22
Process monitoring  fault detection and diagnosis  contribution plots  feature extraction  multivariate statistics.  
Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 427-436
作者:  Simone Hantke;  Tobias Olenyi;  Christoph Hausner;  Tobias Appel;  Björn Schuller
浏览  |  Adobe PDF(1345Kb)  |  收藏  |  浏览/下载：104/37  |  提交时间：2021/02/22
Human computation  speech analysis  crowdsourcing  gamified data collection  survey.  
Multi-objective Dimensional Optimization of a 3-DOF Translational PKM Considering Transmission Properties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 748-760
作者:  Song Lu;  Yang-Min Li;  Bing-Xiao Ding
浏览  |  Adobe PDF(19413Kb)  |  收藏  |  浏览/下载：115/30  |  提交时间：2021/02/22
Multi-objective optimization  parallel kinematic manipulator  transmission property  non-dominated sorting genetic algorithm (NSGA II).  
An Integrated MCI Detection Framework Based on Spectral-temporal Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 786-799
作者:  Jiao Yin;  Jinli Cao;  Siuly Siuly;  Hua Wang
浏览  |  Adobe PDF(2203Kb)  |  收藏  |  浏览/下载：148/41  |  提交时间：2021/02/22
Electroencephalogram (EEG)  dementia early detection  mild cognitive impairment (MCI)  stationary wavelet transformation (SWT)  support vector machine (SVM).  
Energy Guarantee Scheme for Real-time Systems with Energy Harvesting Constraints 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 354-368
作者:  Hussein El Ghor;  Maryline Chetto
浏览  |  Adobe PDF(1150Kb)  |  收藏  |  浏览/下载：184/100  |  提交时间：2021/02/22
Real-time systems  energy harvesting  embedded systems  power management  dynamic voltage and frequency selection (DVFS)  ED-H scheduler.  
Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736
作者:  Xiang Zhang;  Qiang Yang
浏览  |  Adobe PDF(1145Kb)  |  收藏  |  浏览/下载：83/28  |  提交时间：2021/02/22
Dialog system  transfer learning  deep learning  natural language processing (NLP)  artificial intelligence.