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pro vyhledávání: '"Allen Benter"'
Publikováno v:
Sensors, Vol 21, Iss 23, p 7963 (2021)
IoT-enabled devices are making it easier and cheaper than ever to capture in situ environmental data and deliver these data—in the form of graphical visualisations—to farmers in a matter of seconds. In this work we describe an aquaculture focused
Externí odkaz:
https://doaj.org/article/b30a2ff455c94bd5bc9bece2632d5ed8
Publikováno v:
Computers and Electronics in Agriculture. 205:107631
Publikováno v:
Sensors, Vol 21, Iss 7963, p 7963 (2021)
Sensors; Volume 21; Issue 23; Pages: 7963
Sensors (Basel, Switzerland)
Sensors; Volume 21; Issue 23; Pages: 7963
Sensors (Basel, Switzerland)
IoT-enabled devices are making it easier and cheaper than ever to capture in situ environmental data and deliver these data—in the form of graphical visualisations—to farmers in a matter of seconds. In this work we describe an aquaculture focused
Publikováno v:
Mining Technology. 125:114-120
© 2016 Institute of Materials, Minerals and Mining and The AusIMM. This paper presents results on detecting large rock fragments in rock piles using ground penetrating radar (GPR). The authors are researching sensors to augment the image provided to
Publikováno v:
Mining Technology. 122:250-255
The need to identify oversized fragments in underground mining operations is discussed. The relationship between relative permittivity and bulk density is examined using established mixture models. A method of measuring the relative permittivity of o
Existing focusing techniques for Ground Penetrating Radar (GPR) rely on migration of 2D or 3D images to remove clutter originating from objects laterally ofiset from the antenna. In applications requiring real-time focusing, a method operating on 1D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd07bc38e1c1335da4ff9b7151f4f0e7
https://hdl.handle.net/10453/117479
https://hdl.handle.net/10453/117479
Publikováno v:
2011 6th International Workshop on Advanced Ground Penetrating Radar (IWAGPR).
New mining processes are moving toward driverless, autonomous vehicles, however, these will require the ability to detect and avoid large fragments which may block crusher activities. A detection system that can penetrate the surface of the rock pile
Publikováno v:
Scopus-Elsevier
Charles Sturt University
Charles Sturt University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::46adf16697f81754fffadd7ad1785acd
http://www.scopus.com/inward/record.url?eid=2-s2.0-77952652255&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-77952652255&partnerID=MN8TOARS