4th EAI International Conference on Robotic Sensor Networks

lt;b>Shenglin Mu received his B.E. degree in Mechanical Engineering and Automation in 2007 from the Northeastern University, China, and his M.E. and Ph.D. degrees in Electronic and Information Systems Engineering in 2010 and 2013, respectively, from the Yamaguchi University, Japan. In 2013, he joined the Department of Electronic Control Engineering, National Institution of Technology, Hiroshima College. In 2017, he joined the Graduate School of Science and Engineering, Ehime University. His current research interests include control engineering, especially intelligent control, intelligent algorithms, mechatronics, robotics, and sensing technology.

Introduction.- A Mobile Robotic System for Rescue and Surveillance in Indoor Environment.- Study on the Learning in Intelligent Control using Neural Networks based on Back-Propagation and Differential Evolution.- Word Sense Disambiguation Graph-Based and Knowledge Base.- GDP Carbon Emission Prediction Base on Grey Model and Neural Network.- Automatic optimization of YOLOV3 image classification and positioning based on particle swarm optimization algorithm.- Contour Mask and Matting Driven Face Image Generation.- Eye-interface System using Convolutional Neural Networks for People with Physical Disabilities.- Proposal of Omnidirectional Movable Positioning Plate Using T-shaped Omni Wheel.- A general pseudo-random number generator based on chaos.- A Light chaotic encryption algorithm for real-time video encryption.- Intelligent Analysis and Presentation of IOT Image Collection in Private Cloud.- Conclusion.