Zobrazeno 1 - 10
of 210
pro vyhledávání: '"advanced detection"'
Autor:
Yeliz Durgun, Mahmut Durgun
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9800 (2024)
This study aims to detect starch adulteration in dairy products utilizing an artificial neural network (ANN) model. Globally, milk fraud represents a significant challenge to food safety, posing substantial health risks to consumers. In this context,
Externí odkaz:
https://doaj.org/article/905b086b17b04e248c1a45598cad8854
Autor:
Jialin Liu, Xiaosong Tang, Feng Yang, Xu Qiao, Fanruo Li, Suping Peng, Xinxin Huang, Yuanjin Fang, Maoxuan Xu
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3990 (2024)
The underground detection environment in coal mines is complex, with numerous interference sources. Traditional ground-penetrating radar (GPR) methods suffer from limited detection range, high noise levels, and weak deep signals, making it extremely
Externí odkaz:
https://doaj.org/article/5f62385732ab4cb9acd54ce261db6e49
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 6, Pp 46-53, 60 (2024)
The advanced seismic-while-excavating detection technology can achieve parallel exploration and excavation, providing the possibility of real-time and accurate geological support in the scenario of rapid and intelligent excavation of roadways. The si
Externí odkaz:
https://doaj.org/article/0f38a8b0e08f4a2281af9bfb943aed51
Publikováno v:
Meikuang Anquan, Vol 54, Iss 9, Pp 240-247 (2023)
Coal mine safety accidents are very likely to occur when the roadway is excavated through tectonic areas such as collapsed pillars. In this paper, Rayleigh wave technology is used to carry out advance detection in heading face of No.8 joint roadway i
Externí odkaz:
https://doaj.org/article/d8a5c0739694429e9839ae248eb39aa6
Publikováno v:
Meikuang Anquan, Vol 54, Iss 8, Pp 168-172 (2023)
When the traditional single point power supply electrode DC advance detection technology is used to detect the long-distance anomaly, the signal gradually weakens and the accuracy greatly decreases with the increase of detection distance. In order to
Externí odkaz:
https://doaj.org/article/e94f715c53d7426faefe2847d1c78fcf
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 7, Pp 15-23 (2023)
The coal floor develops various water-conducting channels, which seriously threaten the safe production of mines. In order to establish a more scientific multi-information identification technology system for the water-conducting channels in the coal
Externí odkaz:
https://doaj.org/article/c50ae4070287432c9615d3caae1c84de
Autor:
LI Xiaolong
Publikováno v:
Meikuang Anquan, Vol 54, Iss 4, Pp 184-193 (2023)
Aiming at the technical problems for the prevention and control of old goaf water, taking an integrated mine which is seriously damaged by small kiln on the same thick coal seam as an example, we develop an advanced detection-guarantee system for roa
Externí odkaz:
https://doaj.org/article/a6a2b69f89464793a720dd33f399ecc9
Publikováno v:
Sensors, Vol 24, Iss 10, p 3213 (2024)
Tunnel-boring machines (TBMs) are widely used in urban underground tunnel construction due to their fast and efficient features. However, shield-tunnel construction faces increasingly complex geological environments and may encounter geological hazar
Externí odkaz:
https://doaj.org/article/31e9e78de96d42feac0b41821f8943d1
Publikováno v:
Meikuang Anquan, Vol 54, Iss 3, Pp 187-192 (2023)
Surface drilling and 3D seismic results show that a boundary fault with a maximum drop of nearly 300 m is developed on the east side of the 103 lower 03 working face of a mine in Shandong Province. YTZ3(B) type self-recording seismometer was used to
Externí odkaz:
https://doaj.org/article/fd2dc4383d0d4275bb29dcfcf259abb0
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 2, Pp 306-316 (2023)
Water damage is one of the major disasters in deep coal mining in China. As a powerful method of water damage detection, the roadway transient electromagnetic method (RTEM) has been widely used in major coal mining areas in China in recent years. How
Externí odkaz:
https://doaj.org/article/a2517360f8e24038bccfdb68ab250bd1