Ming-Song Chen

ORCID: 0000-0003-3828-4996
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About
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Research Areas
  • Metallurgy and Material Forming
  • Microstructure and mechanical properties
  • High Temperature Alloys and Creep
  • Aluminum Alloy Microstructure Properties
  • Microstructure and Mechanical Properties of Steels
  • Metal Alloys Wear and Properties
  • Metal Forming Simulation Techniques
  • Aluminum Alloys Composites Properties
  • Underwater Vehicles and Communication Systems
  • Optical Systems and Laser Technology
  • Titanium Alloys Microstructure and Properties
  • Nanocomposite Films for Food Packaging
  • High-Velocity Impact and Material Behavior
  • Industrial Vision Systems and Defect Detection
  • IoT and Edge/Fog Computing
  • Welding Techniques and Residual Stresses
  • Network Traffic and Congestion Control
  • Corrosion Behavior and Inhibition
  • Lignin and Wood Chemistry
  • Photonic Crystals and Applications
  • Robotics and Sensor-Based Localization
  • Solidification and crystal growth phenomena
  • Advanced machining processes and optimization
  • biodegradable polymer synthesis and properties
  • Advanced Image and Video Retrieval Techniques

Guilin University of Electronic Technology
2005-2025

Central South University
2015-2024

Key Laboratory for High Strength Lightweight Metallic Materials of Shandong Province
2023-2024

East China Normal University
2023-2024

Singapore Management University
2023

Nanyang Technological University
2023

Beijing Forestry University
2017-2022

State Key Laboratory of High Performance Complex Manufacturing
2012-2022

Guilin University
2012

China Electronics Technology Group Corporation
2006

10.1016/j.mechrescom.2007.10.002 article EN Mechanics Research Communications 2007-10-06

10.1016/j.msea.2007.11.119 article EN Materials Science and Engineering A 2008-06-12

10.1016/j.jmatprotec.2007.11.113 article EN Journal of Materials Processing Technology 2007-11-26

10.1016/j.msea.2012.06.084 article EN Materials Science and Engineering A 2012-07-03

This work aims to improve the low accuracy caused by interference information during real-time weld surface detection. Firstly, a dataset with 7580 pictures containing 8 types of defects was established. Secondly, an improved detection model named Yolo-MSAPF designed based on Yolo-v5 and verified self-established database. Finally, system built analyze performance in industrial environment. The design principle is eliminate but enhance necessary features each scale as much possible...

10.1109/tim.2023.3302372 article EN IEEE Transactions on Instrumentation and Measurement 2023-01-01

The test case generation from design specifications is an important work in testing phase. In this paper, we use UML activity diagrams as specifications, and present automatic approach. approach first randomly generates abundant cases for a JAVA program under testing. Then, by running the with generated cases, can get corresponding execution traces. Last, comparing these traces given diagram according to specific coverage criteria, reduced set which meets adequacy criteria. approachcan also...

10.1145/1138929.1138931 article EN 2006-05-23

10.1016/j.commatsci.2008.03.027 article EN Computational Materials Science 2008-05-14
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