Advanced research on intelligent systems and mechanical engineering : selected, peer reviewed papers from the 2012 2nd International Conference on Intelligent Materials and Mechanical Engineering (MEE2012), December 22-23, 2012, Yichang, China / edited by Helen Zhang, David Jin and X.J. Zhao.

Corporate author
Format
Book
Language
English
Published/​Created
  • Durnten-Zurich : Trans Tech Publications, [2013]
  • ©2013
Description
1 online resource (398 p.)

Details

Subject(s)
Related name
Series
Subseries of
Advanced materials research
Summary note
Selected, peer reviewed papers from the 2012 2nd International Conference on Intelligent Materials and Mechanical Engineering (MEE2012), December 22-23, 2012, Yichang, China. The 84 papers are grouped as follows: Chapter 1: Research and Engineering in the Field of Control and Intelligent Systems; Chapter 2: Materials Science and Processing; Chapter 3: General Mechanical Engineering; Chapter 4: Related Topics. Review from Book News Inc.:The 84 papers in this collection cover research and engineering in the fieldof control and intelligent systems, materials science and processing,general mechani
Notes
Description based upon print version of record.
Bibliographic references
Includes bibliographical references and indexes.
Source of description
Description based on print version record.
Language note
English
Contents
  • Advanced Research on Intelligent Systems and Mechanical Engineering; Preface and Committee; Table of Contents; Chapter 1: Research and Engineering in the Field of Control and Intelligent Systems; Design of Intelligent Living Room Environment's Control System with Intelligent Materials; Research and Application of Intelligent Consultation and Diagnosis Platform with Intelligent Materials for Rice Pests and Diseases; The Intelligent Home Gated Security and Defense System Design with Intelligent Materials Based on GSM Module TC35
  • Traffic Sign Recognition Method in Intelligent Transport System Based on the Low-Rank ApproximationDevelopment of New Intelligent High Potential Therapeutic Apparatus with Intelligent Materials; Semantic Representation of Space Device and Material for Remote Sensing Satellite; The Research on End-Point Forecast and End-Point Control of Argon Oxygen Refining Ferroalloy with Material Properties; Research on Geothermal Energy Using RS Land Surface Material with Temperature Inversion Technology
  • Study of Adaptive Control System of Magneto-Rheological Fluid Dampers with Mechanical Properties Subject to Impact LoadingResearch on Performance Influence of the Coin Recognition Device by Coil Parameters Based on Mechanical Properties; The Development of Automatic Electronic Granulation Counter Based on Mechanical Properties; Study on the Online Detecting Technology for Partial Discharge of Power Equipment with Mechanical Properties; Study on Sensor with Mechanical Properties in Nuclear Power Plant with Application of BP Neural Network to Fault Tolerant Control
  • Research on the Remote Monitoring System of Photovoltaic Power Station Based on CAN Bus and GPRS with Mechanical PropertiesResearch on Electronic Expansion Valve Opening Mechanical Properties of Multi-Link Inverter Air-Con Based on Neural Network; Application of Fuzzy Neural Network to Fault Diagnosis of Sensor with Mechanical Properties in Nuclear Power Plant; Intelligent Control of Valve-Controlled Electro-Hydraulic System in Erecting Device Based on Mechanical Mechanics; Study on Autopilot Dynamics with Robust Guidance Law and Terminal Constraint in Mechanical Engineering
  • The Design of Variable Frequency Constant Pressure of Gas Conveying Control System in Mechanical EngineeringSimulation of Hydraulic Servo System Based on Dynamic Monitoring in Mechanical Engineering; Finite Element Analysis and Design of Cylinder Shell Resonant Density Meter Based on Mechanical Vibration and Fluid-Solid Interaction; Four Synchronous Transfer Mode of USB in Mechanical Engineering; The Design of Cutting Tools Database in Mechanical Engineering; The Development of Air Suspension Controller in Mechanical Engineering Based on DSP
  • Fault Pattern Recognition for Partial Discharge of Electrical Power Equipment Based on Properties of Electrical Materials
ISBN
3-03813-983-1
OCLC
868961426
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...
Other views
Staff view

Supplementary Information