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Long / Dhillon / Ye

Man-Machine-Environment System Engineering

Proceedings of the 26th Conference on MMESE

Medium: Buch
ISBN: 978-981-9261-40-6
Verlag: Springer
Erscheinungstermin: 13.12.2026
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This book includes best papers selected from 26th International Conference on Man-Machine-Environment System Engineering (MMESE) 2026. It covers the best research topics and the latest development trends in MMESE theory and application. MMESE is a scientific study of the design concepts and quantitative analysis of a complex giant system using physiology, psychology, system engineering, computer science, environment science, management theory, education, and other related disciplines methods. MMESE focuses mainly on the relationship and the optimum combination between man, machine, and environment. The three optimized goals of the MMESE study are safety, efficiency, and economy. Researchers and professionals who study a human-centered interdisciplinary subject crossing above disciplines will be mostly benefited from the proceedings. In 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian, Man-Machine-Environment System Engineering (MMESE), the integrated and advanced science research topic was established in China by Professor Shengzhao Long. In the letter to Shengzhao Long on October 22, 1993, Xuesen Qian wrote: “You have created a very important modern science subject and technology in China!”.

Produkteigenschaften

  • Artikelnummer: 9789819261406
  • Medium: Buch
  • ISBN: 978-981-9261-40-6
  • Verlag: Springer
  • Erscheinungstermin: 13.12.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Electrical Engineering
  • Produktform: Gebunden
  • Seiten: 587
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

Construction ofApple Multimodal Recognition Model Drawing on Human Eye Movement Cognitive Features.- Adaptation and Evaluation of Intelligent Cockpit Virtual PersonalAssistant Function Based onAutonomous Driving Classification.- An Analysis of Integrating Excellent Traditional Chinese Culture into Ideal and Belief Education in Universities.- Research on the Construction and Application of a Decision Support Model for Subject Selection in the College Entrance Examination Based on Fuzzy Comprehensive Evaluation.- Research on Glasses-Free 3D Virtual–Real Interaction and Cross-Scenario Applications Based on Spatial Reality Display Technology.- An Analysis of the Pathways to Enhancing Digital Competence of Ideological and Political Teachers in Higher Education Institutions.- Research on Pilot Workload Task Simulation and Subjective Evaluation Methods.- Research on Pilot Physiological Information Perception and Feature Extraction Methods.- Study on the Indicator System of Factors Influencing Trust in Single-Pilot–Generative AI Collaboration.- Eye Movement Study of Graded Time Pressure on X-Ray Baggage Screening.- Research on Intelligent Auxiliary System for Computer-based Procedure in Main Control Room of Nuclear Power Plant.- Research on non-intrusive AR-AI Intelligent Auxiliary System for Nuclear Power Plant.- Influence Pathways of Physical Fitness on Cognitive Performance and Professional Competence among STEM Undergraduates: A Human Factors Perspective.- Precision Analysis and Error Modeling of Laser Theodolite for Measuring Vertical Descent Velocity of Parachute System.- A Synchronized Multi-Camera Surround Imaging System for 3D Reconstruction of Large-Scale Flexible Parachute Canopy.- AHP-Based Performance Evaluation Method and Applicationfor Large-Inertia Object Alignment and Handling.- Practice and Reflections on the Management of Open Research Projects in Human Factors Engineering.- Research on the “Human-Vehicle-Environment-Judiciary” Collaborative Evidence Framework for Traffic Accidents Based on Vehicle EDR Data.- Safety Risk Prevention, Control, and Optimization in Healthcare Facilities Based on the People-Objects-Environment-Management” Framework Process.- Research on the evaluation of joystick in the cockpit of manned submersibles based on ergonomics.