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Mining Graphs for Understanding Time-Varying Volumetric Data

Yi Gu, Chaoli Wang, Tom Peterka, Robert Jacob, Seung Hyun Kim
2016 IEEE Transactions on Visualization and Computer Graphics  
In this paper, we present a mining approach that automatically extracts meaningful features from a graph-based representation for exploring time-varying volumetric data.  ...  A notable recent trend in time-varying volumetric data analysis and visualization is to extract data relationships and represent them in a low-dimensional abstract graph view for visual understanding and  ...  We present a mining approach that automatically extracts features from a graph-based representation for understanding timevarying data.  ... 
doi:10.1109/tvcg.2015.2468031 pmid:26529740 fatcat:b5r7mcjnprepzh7mhhygpio4we

Time-dependent failure of open stopes at Target Mine

P.J. Le Roux, K.R. Brentley, F.P. Janse van Rensburg
2019 Journal of the Southern African Institute of Mining and Metallurgy  
The benefits of this analysis will include improved understanding of time-dependent failure, which can assist in reducing dilution and the risk of sterilization of future mining blocks.  ...  Actual data was collected from open stopes at Target and analysed to show the effect of time on open stope stability.  ...  Acknowledgements The authors would like to thank Harmony Gold Mining Company Limited for the privilege of presenting this research.  ... 
doi:10.17159/2411-9717/17/477/2019 fatcat:zns5heclrfgm7lsr55nmwzhmya

Sustainable water management and improved corporate reporting in mining

Stephen A. Northey, Gavin M. Mudd, Tim T. Werner, Nawshad Haque, Mohan Yellishetty
2019 Water Resources and Industry  
Efforts to more systematically compile and analyse this data would provide a significant opportunity to improve our understanding of: how water use varies across the mining industry, the overall magnitude  ...  Analyse compiled data to understand trends in industry reporting and the variability of mine site water balances, and 4.  ...  Acknowledgements The authors would like to thank the editors and anonymous peer reviewers for their valuable feedback that has helped improve the quality of the article. S.A.  ... 
doi:10.1016/j.wri.2018.100104 fatcat:b4k2ixqbcnblbf66veqwbkjfpq

Information and Knowledge assisted analysis and Visualization of large-scale data

Chaoli Wang, Kwan-Liu Ma
2008 2008 Workshop on Ultrascale Visualization  
The ever-increasing sizes of data produced from a variety of scientific studies post a formidable challenge for the subsequent data analysis and visualization tasks.  ...  In this paper, we survey research in IKV of scientific data and also identify a few directions for further work in this emerging area.  ...  The three components are tightly linked to facilitate tri-space data exploration, offering scientists new power to study their time-varying, multivariate volume data. Multifield-Graphs. Sauber et al.  ... 
doi:10.1109/ultravis.2008.5154057 fatcat:ezo5zxlpsnhmbgj74nzrwdpwam

Value creation in a mine operating with open stoping mining methods

P.J. Le Roux
2017 Journal of the Southern African Institute of Mining and Metallurgy  
Back-analyses of stope instability at Target mine have indicated that conventional rock mass failure criteria are unsuitable for stope design.  ...  Since its implementation in 2010, dilution and equipment damage have decreased markedly, creating value for the mine. open stope, stope stability, stope design, dilution stress-strain index.  ...  The authors would like to thank Harmony Gold Mining Company Limited for the privilege of presenting this research.  ... 
doi:10.17159/2411-9717/2017/v117n2a4 fatcat:353wluyurba5tf4tbjc457nl64

Partition based Graph Compression

Meera Dhabu, Dr. P., Siyaram Vishwakarma
2013 International Journal of Advanced Computer Science and Applications  
A graph containing millions of nodes and billions of edges can be of size in TBs. At the same time, the size of graphs presents a big obstacle to understand the essential information they contain.  ...  For partitioning, proposed approach identifies weak links present in the graph and partition graph at those weak links.  ...  How can we understand and utilize the "structure" of nonconventional data structures such as biological data, topographical maps, medical data, and volumetric data?  ... 
doi:10.14569/ijacsa.2013.040902 fatcat:p5yx4ldtzndbdpcbqieggvxfsq

Experimental Investigation of the Creep Behaviour of Coal by Monitoring Changes of Acoustic Properties

Sen Yang, Nong Zhang, Xiaowei Feng, Jiaguang Kan
2018 Applied Sciences  
Time-dependent deformation of coal is a major concern for deep coal mining.  ...  These flawed data highlight the shortcomings of conventional strain-time relationship experiments for deciphering the mechanisms that control creep; (2) The mechanical response of samples under creep compression  ...  Acknowledgments: This work was financially supported by the Fundamental Research Funds for the Central  ... 
doi:10.3390/app8040633 fatcat:p452wkzkyban5pcfyhcxsk72uu

A case study of geotechnical conditions affecting mining-induced seismicity in a deep tabular mine

L. Scheepers, D.F. Malan
2022 Journal of the Southern African Institute of Mining and Metallurgy  
Seismic risk in the deep gold mines of South Africa has been studied for many decades.  ...  The stability and deformation behaviour of excavations on the different reef horizons are affected by the rock types and the varying strength properties.  ...  The Gutenberg-Richter graphs for the study data are shown in Figures 11 and 12. The slope of the graph of cumulative number of events per magnitude is called the b-value.  ... 
doi:10.17159/2411-9717/1511/2022 fatcat:uvloygmm5rht7b3f7t2uwztive

Iterative Exploration of Big Brain Network Data

Florian Ganglberger, Nicolas Swoboda, Lisa Frauenstein, Joanna Kaczanowska, Wulf Haubensak, Katja Bühler
2018 Eurographics Workshop on Visual Computing for Biomedicine  
This includes microscale connectivity data - brain-network graphs with billions of edges - whose analysis for higher order relations in structural or functional neuroanatomy together with genetic data  ...  Current experimental workflows involve time-consuming manual aggregation and extensive graph theoretical analysis of data from different sources, which rarely provide spatial context to operate continuously  ...  A Data Structure for real-time Aggregation Queries of Big Brain Networks Querying large graphs, with billions of edges can be time consuming.  ... 
doi:10.2312/vcbm.20181231 dblp:conf/vcbm/GanglbergerSFKH18 fatcat:ozx2v3bpprajvi7rgfwgol5b5i

Unsaturated Fluid Flow in Mine Spoil: Investigative Methods Leading to a Quantitative Characterization

D. M. Diodato, R. R. Parizek
1988 Journal American Society of Mining and Reclamation  
Water samples were collected through time from 55 pressure-suction lysimeters installed at various depths at the field area. 23 were selected for study and neutron activation analysis was used to determine  ...  Further refinement of the data may be yielded by geostatistical investigations, as the semivariogram of the concentration values at a sampling point through time may suggest alternative concentration peak  ...  A graph of either volumetric moisture content or matric potential versus unsaturated hydraulic conductivity has two hysteretic curves, one describing each front.  ... 
doi:10.21000/jasmr88010240 fatcat:zcp2ia2javgjpfpt4swjh2peam


Mary Ann Q. Adajar
2016 International Journal of GEOMATE  
However, the model does not give a good prediction of stress-strain response for specimens that exhibited brittle failure with dilative volumetric strain.  ...  Peak shear stress was not observed for saturated tailings even at very dense condition and low normal stresses indicating that saturated tailings have ductile behavior with contractive volumetric strain  ...  The determination of the shear strength parameters and understanding of the stress-strain response to different stresses are essential steps to completely evaluate the suitability of mine tailings for  ... 
doi:10.21660/2016.21.5127 fatcat:kk4huyr675czva4iiyrjfgbuce

Quantifying the impact of small variations in fracture geometric characteristics on peak rock mass properties at a mining project using a coupled DFN–DEM approach

Martin Grenon, Genevieve Bruneau, Iris Kapinga Kalala
2014 Computers and geotechnics  
Quantifying the impact of small variations in fracture geometric characteristics on peak rock mass properties at a mining project using a coupled DFN-DEM approach.  ...  Variability in the structural data gathered on site and the variability associated with the stochastic modeling process have an impact on discrete fracture model (DFN) properties.  ...  The authors would also like to thank AEM, Technical Service Division, for providing easy site and data access.  ... 
doi:10.1016/j.compgeo.2014.01.010 fatcat:j3vky4mhdfhv3ek457xljzxw6q

Evaluation of pre-jamming indication parameter during blind backfilling technique

Susmita Panda, S.K. Pal, P.V.S.N. Murthy
2016 Journal of Sustainable Mining  
Pressure signature graphs and pressure loss curves with bed advancement under different flow conditions are examined.  ...  Hydraulic blind backfilling is used to reduce subsidence problems above old underground water-logged coal mines.  ...  We are also thankful to Department of Mining Engineering, IIT Kharagpur for providing the experimental facilities.  ... 
doi:10.1016/j.jsm.2016.11.001 fatcat:52bdesnpzzamppjn4afh2iq2da

Methods for prediction of soil dielectric properties: a review

Remke L. van Dam, Brian Borchers, Jan M. H. Hendrickx, Russell S. Harmon, J. Thomas Broach, John H. Holloway, Jr.
2005 Detection and Remediation Technologies for Mines and Minelike Targets X  
Electromagnetic sensors such as ground penetrating radar and electromagnetic induction sensors are among the most widely used methods for the detection of buried land mines and unexploded ordnance.  ...  However, the wide variety of available models, each with its own characteristics, makes it difficult to select the appropriate one for each occasion.  ...  The models have been calibrated, for example, by time-domain reflectometry.  ... 
doi:10.1117/12.602868 fatcat:5qrzl4m7v5fs5ens46pqjrk2ri

Visualization of Mined Pattern and Its Human Aspects [article]

Ratnesh Kumar Jain, Dr. Suresh Jain, Dr. R. S. Kasana
2009 arXiv   pre-print
Researchers got success in mining the Web usage data effectively and efficiently. But representation of the mined patterns is often not in a form suitable for direct human consumption.  ...  Hence mechanisms and tools that can represent mined patterns in easily understandable format are utilized. Different techniques are used for pattern analysis, one of them is visualization.  ...  Examples of task-specific props for visualization are: a physical model head and clip plane that aid interaction with volumetric brain data [38] and the "Cubic Mouse," a 3D input device for volume data  ... 
arXiv:0908.4374v1 fatcat:2nax2dz2szadvnpf56wzptdymy
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