Mechanics, Electronics, Automation and Automatic Control: Proceedings of the 2nd International Conference (MEAAC 2024), Ordos, China, 15-17 June 2024

Mechanics, Electronics, Automation and Automatic Control: Proceedings of the 2nd International Conference (MEAAC 2024), Ordos, China, 15-17 June 2024
Summary
Intro -- Title Page -- Preface -- About the Conference -- Contents -- Electrical Engineering -- Research on the Optimal Power Allocation Method of Industrial Park Users Based on Carbon Emissions -- Research on the Influence of Cold End Junction Compensation on the Measurement Accuracy of Temperature Calibrators -- Iron Concentrate Flow Inductive Sensing and Detection Technology -- Uncertainty Assessment of Energy Meter Calibration Devices Based on MID Certification of Energy Meters and Its Application in Evaluating Test Results -- Digital Manufacturing of Precast Members for Long-Span Wall Panel in Power Distribution Unit of Substation -- Research on the Scheme of Secondary Re-Modulation Based on Time Grating -- Control Engineering -- Trajectory Optimization of Multi-Pass Aeroassisted Orbital Transfer by Sequential Convex Programming -- Static Distance Measurement of Satellite Receiver Based on GA Optimized TCN-FC -- Simulation of Passive Location Based on Changing Rate of Doppler Frequency -- Estimated Mathematical Model for Controlling Distance of AGVs with Differential Drive Systems -- Research on Object Location with Millimeter Wave Radar Based on Improved DOA Estimation -- Motion Control Design of Small-Scale Lunar Jumping Robot -- Exploring Techniques for Estimating Distance in Leader-Follower AGV Systems -- A Kinetic Model of Impact for Bipolar Crown Buffer Foot -- Mechanical Engineering -- Analysis of an Interface Crack in Two-Dimensional Piezoelectric Materials Under Impact Loading -- Research on Target Recognition Algorithm Based on Improved PointNet++ -- Quantitative Diagnosis of Connection Fault for Lithium-Ion Batteries Based on IC Curves and Correlation Analysis -- Prediction of Fluted Roll Metering Device Performance Using 3D DEM with Ellipsoidal Particle Model.