Researchers Propose Novel Method for More Stable Wireless Sensor Networks[Sep 11, 2019]
Cluster-based management methods could effectively reduce the networking overhead. A research group at Shenyang Institute of Automation proposed a novel clustering protocol for cognitive radio sensor networks (CRSNs) which can significantly enhance the lifetime and stability of wireless sensor networks.
Scientists Develop a Novel Multitask Learning Method for Surface Reconstruction and Image Synthesis[Aug 29, 2019]
Associate Professor HOU Fei from the Institute of Software and his collaborators from Beihang University and Stony Brook University put forward a joint deep learning architecture based on the inverse relationship to efficiently handle water surface reconstruction and water rendering together.
Researchers Achieve Better Performance of Air Separation Units Based on Model Predictive Control[Aug 26, 2019]
The safe and effective operation of air separation units is a challenge for the characteristic of high nonlinearity and the requirement of frequent load change. Recently, ZOU Tao's research team at Shenyang Institute of Automation of the Chinese Academy of Sciences have proposed an automatic load change coordinated control system for air separation units.
UAV Helps EOD Robot Work More Efficiently[Aug 21, 2019]
In order to improve the working efficiency and capability of the explosive ordnance disposal robot, recently, a research team led by Ting WANG at Shenyang Institute of Automation of 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.
Infrasonic Source Altitude Localization Method Based on Infrasound Ray Tracing Propagation Model Proposed[Aug 20, 2019]
Researchers from the Institute of Acoustics proposed an algorithm of infrasonic source altitude localization, and established a theoretical infrasound ray tracing propagation model for the back-projected infrasound propagation trajectory.
Researchers Develop a Novel Session-based Recommendation with Graph Neural Networks[Aug 19, 2019]
Researchers from the Center for Research on Intelligent Perception and Computing, Institute of Automation and their collaborators proposed and publicized a session-based recommendation system with graph neural networks, SR-GNN in brevity.
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