author Philjun Moon 
2nd author Nasution Ninan and Jinwoo Park 
presenter Philjun Moon 
info ICPR(International Conference of Production Research)
07.30 ~ 08.03 
year 2017 
category IC 
start / end date 2017.07.30 
city / nation 2017.08.03 
학회 ICPR 
keywords Augmented Reality, Safety Education Training, Text mining, Marker 
abstract Not more than a few years ago, the main method of delivering information was through medium of two dimensions, such as images, photographs, etc. Even in on–site safety education training system, the instruction is currently delivered using a simple instruction tool, such as voice or paper. Recently, there has been an increasing demand to deliver information using a more realistic and interactive medium. With the advent of Augmented Reality (AR), it is now possible to project three-dimensional objects onto real space and allow users to directly interact with the physical environment. In addition, this research proposes an enhanced marker with text mining. The marker works not only as a sign tracker to summon AR information of objects but also raises awareness of danger among on-site safety education training system in factories 

학회발표

번호 category 학회 제목 author presenter year
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73 IC  INFORMS  A Study on emergency logistics problem after massive natural disaster Sumin Han  Sumin Han  2014 
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70 IC  INFORMS-KORMS  Development of capacitated event-driven MRP components using object oriented method Seunghyun Yoon    2000 
69 IC  IW on IMS  Maximally permissive adaptive control of an automated manufacturing cell Sangkyun Kim    1999 
68 IC  APIEMS  An Integrated Approach for Loading and Scheduling of a Flexible Manufactureing System Sangbok Woo    1999 
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66 IC  SICEAS  INTERACTIVE PLACEMENT METHOD FOR CONTAINER LOADING PROBLEM USING DEPTH CAMERA file Nasution Ninan  Nasution Ninan  2017 
65 IC  APMS  Utility Value and Fairness Consideration for Information Sharing in a Supply Chain Myongran Oh    2007 
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57 IC  ICCSA  Efficient Mapping Rule of IDEF for UMM Application file Kitae Shin    2005 
56 IC  ICRA  An On-Line Production Scheduler using Neural Network and Simulator based on Manufacturing System State file Kitae Kim    2001