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A Heuristic Algorithm for the Fabric Spreading and Cutting Problem in Apparel Factories 期刊论文
IEEE/CAA JOURNAL OF AUTOMATICA SINICA, 2019, 卷号: 6, 期号: 4, 页码: 961-968
作者:  Shang XQ(商秀芹);  Shen DY(沈大勇);  Wang FY(王飞跃);  Timo R. Nyberg
Adobe PDF(815Kb)  |  收藏  |  浏览/下载：292/76  |  提交时间：2019/09/25
Construction And Improvement  Cutting And Packing  Fabric Spreading And Cutting  Heuristic Algorithm  
A Pedestrian Dead-Reckoning System for Walking and Marking Time Mixed Movement Using an SHSs Scheme and a Foot-Mounted IMU 期刊论文
IEEE Sensors Journal, 2019, 卷号: 19, 期号: 5, 页码: 1661-1671
作者:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
Adobe PDF(2054Kb)  |  收藏  |  浏览/下载：424/113  |  提交时间：2019/05/04
Pedestrian Dead-reckoning  Imu  Step And Heading System  Gait Partitioning  Motion Classification  Ekf Filtering  Marking Time  Trajectory Estimation  
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：120/31  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
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：256/79  |  提交时间：2021/02/22
Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
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：84/28  |  提交时间：2021/02/22
Dialog system  transfer learning  deep learning  natural language processing (NLP)  artificial intelligence.  
Experimental Evaluation of Certain Pursuit and Evasion Schemes for Wheeled Mobile Robots 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 491-510
作者:  Amit Kumar;  Aparajita Ojha
浏览  |  Adobe PDF(1548Kb)  |  收藏  |  浏览/下载：114/44  |  提交时间：2021/02/22
Pursuit-evasion  wheeled mobile robot  proportional navigation  trajectory planning  target interception.  
A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：175/53  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 449-461
作者:  Bing-Xing Wu;  Suat Utku Ay;  Ahmed Abdel-Rahim
浏览  |  Adobe PDF(6241Kb)  |  收藏  |  浏览/下载：113/34  |  提交时间：2021/02/22
Traffic monitoring application  spatial resolution  pixel-resolution mapping (P-RM) method  3D information  pedestrian height estimation.  
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 737-747
作者:  Siuly Siuly;  Varun Bajaj;  Abdulkadir Sengur;  Yanchun Zhang
浏览  |  Adobe PDF(4171Kb)  |  收藏  |  浏览/下载：143/48  |  提交时间：2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
Convergence Analysis of a New MaxMin-SOMO Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 534-542
作者:  Atlas Khan;  Yan-Peng Qu
浏览  |  Adobe PDF(1429Kb)  |  收藏  |  浏览/下载：142/48  |  提交时间：2021/02/22
Optimization  self organizing map (SOM)  SOM-based optimization (SOMO) algorithm  particle swarm optimization (PSO)  genetic algorithms (GAs).