Research Progress

• 08/21 -2019-
  UAV helps EOD robot work more efficiently

  In order to improve the working efficiency and capability of the EOD robot, recently, a research team led by Ting WANG at Shenyang Institute of Automation, the Chinese Academy of Sciences proposed a target tracking method for Unmanned Aerial Vehicle (UAV) that can be used in air-ground system, under which an UAV and an EOD robot can work collaboratively.
• 07/11 -2019-
  Chinese researchers find new general modeling method for intelligent workshop

  Recently, a group of Chinese resreachers at Shenyang Institute of Automation, the Chinese Academy of Sciences proposed a general modeling and comprehensive optimization method for simulation of a flexible assembly shop. The proposed method could optimize the whole production process and the allocation of production resources. The progress was published on the latest issue of International Journal of Simulation Modeling.
• 07/18 -2019-
  Chinese Researchers Propose Wireless Wisdom for Manufacturing Factory

  Recently, a group of Chinese researchers from Shenyang Institute of Automation, Chinese Academy of Sciences proposed Wireless networks for Industrial Automation-Factory Automation (WIA-FA), which is the first and only approved international standard of industrial wireless control networks for factory automation.
• 07/11 -2019-
  Chinese researches propose lifelong metric learning for smarter online learning

  CONG Yang and his research team at Shenyang Institute of Automation of Chinese Academy of Sciences proposed a lifelong metric learning (LML) to mimic “human learning”, i.e., endowing a new capability to the learned metric for a new task from new online samples and incorporating previous experiences and knowledge. The study was published inIEEE Transactions on Cybernetics.
• 07/08 -2019-
  Researchers propose an image-patch tensor model for infrared small target detection

  Infrared small target detection has been widely used in many fields such as surveillance and precision guidance. Because of a long imaging distance, targets usually occupy only a tiny part in the field without a fixed shape. And due to the influence of meteorological conditions such as atmospheric refraction and scattering, the target is too weak to detect. These factors make infrared small targets detection challenging.Recently, researchers from Shenyang Institute of Automation, Chinese Academy of Sciences proposed a 3D image-patch tensor (IPT) model to detect infrared small targets.
• 07/03 -2019-
  Chinese researchers achieve high sEMG-based recognition performance under non-ideal conditions

  Researchers proposed an adaptive hybrid classifier for sEMG recognition under non-ideal conditions, such as the outlier motion, muscle fatigue, and electrode shifts, which was published on IEEE Transactions on Neural Systems and Rehabilitation Engineering.Under this study, researchers have achieved recognition accuracy of 92 percent for ten common gestures, which is significantly higher than that of previous studies. This study is expected to promote the clinical applications of sEMG-based prosthesis and rehabilitation hands, which are becoming more important and helpful for the disabled.
• 06/27 -2019-
  Chinese Researchers Propose a Terahertz Imaging Deconvolution Method to Enhance the Resolution

  In this study, phase information of THz waves is fully utilized by making use of the wave nature of THz light. It demonstrated that the reconstructed phase can also describe the shape of the object by applying such an approach.
• 12/25 -2018-
  Observer-Based Multiple Faults Diagnosis Scheme for Satellite Attitude Control System

  This paper proposes a multiple fault diagnosis (MFD) scheme based on an observer method for satellite attitude control systems (ACSs) subject to nonlinearity and external disturbances of the system. The essential idea is to develop a fault diagnosis scheme and design the corresponding observers for satellite ACSs.
• 12/25 -2018-
  Wearable Heading Estimation for Motion Tracking in Health Care by Adaptive Fusion of Visual-Inertial Measurements

  The increasing demand for health informatics has become a far-reaching trend in the ageing society. The utilization of wearable sensors enables monitoring senior people daily activities in free-living environments, conveniently and effectively. Among the primary health-care sensing categories, the wearable visual-inertial modality for human motion tracking gradually exerts promising potentials.
• 12/25 -2018-
  High performance microwave absorption through multi-scale metacomposite by intergrating Ni@C nanocapsules with millimetric polystyrene sphere