Signed Distance Based Reconstruction for Exploration and Change Detection in Underground Mining Disaster Prevention

2019 ◽  
Author(s):  
Philipp Koch ◽  
Stefan May ◽  
Helmut Engelhardt ◽  
Jasmin Ziegler ◽  
Andreas Nuchter
Keyword(s):  
Change Detection ◽  
Underground Mining ◽  
Disaster Prevention ◽  
Signed Distance

Disaster Prevention of Mining Field Roof Fall in Open Pit to Underground

2013 ◽  
Vol 310 ◽  
pp. 198-201
Author(s):  
Yao Ji Li ◽  
Xiao Shuang Li ◽  
Wei Le Geng
Keyword(s):  
Underground Mining ◽  
Field Trips ◽  
Phosphate Group ◽  
Open Pit ◽  
Disaster Prevention ◽  
Related Research ◽  
Mine Site ◽  
Research Results ◽  
Roof Fall ◽  
Site Field

The research object is transformation the deep orebody of jinning phosphate which belong to Yunnan Phosphorus Group Co from pit to underground mining. Through the mine-site field trips, on the basis of the existing mine geological occurrence conditions, proposed a stope roof fall disaster prevention technology which suitable for mining actual project overview. And related research results can provide theoretical guidance and advice of roof fall disaster for mining of Yunnan Phosphate Group or other similar conditions mines which are in transformed from open pit to underground mining.

The Prevention of Rock-Fall on Slopes in Transferred Underground Mining from Open-Pit

2013 ◽  
Vol 310 ◽  
pp. 190-193
Author(s):  
Xiao Shuang Li ◽  
Yao Ji Li ◽  
Meng Lai Wang
Keyword(s):  
Underground Mining ◽  
Rock Fall ◽  
Open Pit ◽  
Disaster Prevention ◽  
Phosphate Mine

Take Jinning and Kunyang phosphate mine of Yunnan Phosphate Chemical Group Co., LTD (abbreviation YPC) as background. The site and the existing rock fall disasters were Inspected. Then this paper put forward a set of rock-fall disaster prevention technologies suitable for the actual project overview. The research can be used for all the mines of YPC and other mines with similar conditions. It can also provide theoretical guidance and advice for the rock-fall disaster prevention technology.

Municipal Plans of Emergency in Disaster Prevention

2002 ◽  
Vol 17 (S2) ◽  
pp. S17
Author(s):  
Ernesto Pérez-Rincón Merlín
Keyword(s):  
Disaster Prevention

Disaster Prevention Requires Backup Systems

2005 ◽  
Vol 39 (10) ◽  
pp. 66-67
Author(s):  
JENNIFER SILVERMAN ◽  
Joyce Frieden
Keyword(s):  
Disaster Prevention

Vivid Imagers Are Better at Detecting Salient Changes

2006 ◽  
Vol 27 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Paul Rodway ◽  
Karen Gillies ◽  
Astrid Schepman
Keyword(s):  
Individual Differences ◽  
Change Detection ◽  
Visual Imagery ◽  
Detection Task ◽  
Level Of Detail ◽  
Detection Accuracy ◽  
Change Detection Task ◽  
Term Change ◽  
High Level

This study examined whether individual differences in the vividness of visual imagery influenced performance on a novel long-term change detection task. Participants were presented with a sequence of pictures, with each picture and its title displayed for 17  s, and then presented with changed or unchanged versions of those pictures and asked to detect whether the picture had been changed. Cuing the retrieval of the picture's image, by presenting the picture's title before the arrival of the changed picture, facilitated change detection accuracy. This suggests that the retrieval of the picture's representation immunizes it against overwriting by the arrival of the changed picture. The high and low vividness participants did not differ in overall levels of change detection accuracy. However, in replication of Gur and Hilgard (1975) , high vividness participants were significantly more accurate at detecting salient changes to pictures compared to low vividness participants. The results suggest that vivid images are not characterised by a high level of detail and that vivid imagery enhances memory for the salient aspects of a scene but not all of the details of a scene. Possible causes of this difference, and how they may lead to an understanding of individual differences in change detection, are considered.

An attentional bias for LEGO® people using a change detection task: Are LEGO® people animate?

2016 ◽  
Vol 70 (3) ◽  
pp. 219-231 ◽  
Author(s):  
Mitchell R. P. LaPointe ◽  
Rachael Cullen ◽  
Bianca Baltaretu ◽  
Melissa Campos ◽  
Natalie Michalski ◽  
...  
Keyword(s):  
Change Detection ◽  
Attentional Bias ◽  
Detection Task ◽  
Change Detection Task
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