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General Information
    • ISSN: 2010-3719 (Online)
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net
Editor-in-chief

 
University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2015 Vol.5(2): 149-152 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2015.V5.520

Research on Intelligent Large Slewing

Lv Kunze, Guo Ming, and Mou Yuhui
Abstract— There are many types of slewing ring, it is designed to both types of choices, but also by the size and structure of computing power, set the value of the non-expert planning, reasoning and numerical integration of scientific computing. Therefore, in the design of slewing expert system technology to break through the limitations of traditional analog design personal, integration experience of many experts in the design of a system to optimize the design of the structure, with significant engineering value. Based on the collection and analysis of full slewing design data and design experience, the establishment of a design expert system is as the core of the design, structural analysis and automatic drawing in one of the slewing ring Intelligent Design System - SRBID systems.

Index Terms— Slewing, intelligent, design, expert system, parametric drawing.

The authors are with Overseas Education College, Nanjing Tech University, Nanjing, Jiangsu, China (e-mail: lvkunzex@gmail.com, jamesxiongxiong@gmail.com, abigailmou@gmail.com).

[PDF]

Cite: Lv Kunze, Guo Ming, and Mou Yuhui, " Research on Intelligent Large Slewing," International Journal of Information and Electronics Engineering vol. 5, no. 2, pp. 149-152, 2015.

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