Conference Information

ICMCAT 2017: International Conference on Mechanical Control and Automation Technology

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Submission Date:
2017-12-21 Extended
Notification Date:
Conference Date:
2017-12-30
Location:
Guangzhou, China
Viewed: 19080   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,154 of 5,687 conferences · Top 74%

#304 of 470 in Robotics & Control

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-29

Call For Papers

ICMCAT 2017 (International Conference on Mechanical Control and Automation Technology) is an academic conference held in Guangzhou, China on 2017-12-30. The paper submission deadline is 2017-12-21 (extended).

2017 International Conference on Mechanical Control and Automation Technology (ICMCAT 2017) serves as good platforms for academics, researchers, and engineers to meet and exchange innovative ideas and information on all aspects of Mechanical Control and Automation Technology. We are delighted to invite you to participate in ICMCAT 2017. Topics including but not limited to: (I) Mechanical Engineering Acoustics and Noise Control Aerodynamics Applied Mechanics Automation, Mechatronics and Robotics Automobiles Automotive Engineering Ballistics Biomechanics Biomedical Engineering CAD/CAM/CIM Composite and Smart Materials Compressible Flows Computational Mechanics Dynamics and Vibration Fatigue and Fracture Fluid Dynamics Fluid Mechanics and Machinery Fuels and Combustion General mechanics Geomechanics Heat and Mass Transfer HVAC Instrumentation and Control Internal Combustion Engines Machinery and Machine Design Manufacturing and Production Processes Marine System Design Mechanical Design Mechanical Power Engineering Mechatronics MEMS and Nano Technology Multibody Dynamics Nanomaterial Engineering Noise and Vibration Noise Control Non-destructive Evaluation Nonlinear Dynamics Operations Management PC guided design and manufacture Plasticity Mechanics Precision mechanics, mechatronics Production Technology Resistance and Propulsion Robotic Automation and Control Solid Mechanics Structural Dynamics System Dynamics and Simulation Textile and Leather Technology Transport Phenomena Tribology Turbulence Vibrations (II) Automation and Control Technology Instrumentation and Control Adaptive Control Automated Guided Vehicles Biomedical Engineering and Biosystems Automation Control Education Control Theory and Application Discrete Event Systems Electronic Commerce and Office Automation Estimation and Identification Factory Modeling and Automation Fault Detection Flexible Manufacturing Systems Fuzzy and Neural Systems Industrial Process Control Instruments and Vibration Control Integrated Manufacturing Intelligent and AI Based Control Intelligent Automation Learning Systems Linear Systems Man-machine Interactions Manufacturing Control and Automation Engineering Material Processing and Control Modeling of Complex Systems Motion Control Multi-agent systems Network Intelligence and Network Control Nonlinear Systems and Control Optimal Control Petri-Nets and Applications Petri Process Automation Process Control & Instrumentation Real-time Systems Robotics Robust and Control Sensor/data fusion Smart Structures Sensor networks and networked control
Last updated by Dou Sun on

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