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http://dx.doi.org/10.7315/CADCAM.2012.079

Research on Ontology-based Task Adaptability Improvement for Digital Human Model  

Kang, Su-Ho (Dept. of Industrial Engineering, Sungkyunkwan University)
Sohn, My-E (Dept. of Industrial Engineering, Sungkyunkwan University)
Publication Information
Korean Journal of Computational Design and Engineering / v.17, no.2, 2012 , pp. 79-90 More about this Journal
Abstract
In digital virtual manufacturing simulation, Digital Human widely used to optimal workplace design, enhancing worker safety in the workplace, and improving product quality. However, the case of ergonomics simulation solutions to support digital human modeling, Optimal DHM (Digital Human Model) data needed to develop and perform DHM will collect information related to the production process. So simulation developer has burden of collecting information. In this study, to overcome the limitations of existing solutions, we proposed the ADAGIO(Automated Digital humAn model development for General assembly usIng Ontology) framework. The ADAGIO framework was developed for DHM ontology to support optimal deployment of digital virtual environment and in order to ensure consistency of simulation components that are required for simulation modeling was made of a library.
Keywords
Digital human modeling; Digital virtual manufacturing; Ontology; Virtual simulation; adaptability;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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