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Underground personnel positioning system based on low-power card reader
International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), 2012In order to achieve effective identification and real-time monitoring of coal mine personnel position, this paper proposed underground personnel positioning system based on low-power card reader. After a brief introduction of the ZigBee and CAN technology on basis of the features, it described the design elements of the hardware and software of low ...
null Yong Yang +2 more
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Research on Anti-Collision of Personnel Positioning in Underground Coal Mine Based on RFID
Applied Mechanics and Materials, 2013in order to avoid signal collision when two or more tags send recognizable signals to the reader of underground coal mine personnel tracking system , the binary tree search algorithm along with algorithms which improved from them is discussed, an adaptive anti-collision algorithm is proposed .In the respects of time and space the algorithm shows ...
Xiao Yue Liu, Pei Lei Zhang
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Concurrent collision probability of RFID tags in underground mine personnel position systems
Mining Science and Technology (China), 2010According to the basic requirements of underground mine personnel position systems and the working characteristics of active RFID tags, we studied the cause of concurrent collision of RFID tags and leak reading probability, by means of theoretical analysis and computation.
Yuchu JI +3 more
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Gateway Node Design of Underground Personnel Position System Based on Wireless Sensor Network
Advanced Materials Research, 2012This paper presented a method that gateway node design for underground personnel position system based on wireless sensor network. After a brief introduction of wireless sensor network technology and the basic features of CC2430 chip, it described the structure, function, works of gateway node and the details of hardware and software design features of
Yang Yong, Yan Tao Li, Xiu Cai Guo
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Engineering Research Express
Abstract To enhance the performance of visible light positioning (VLP) systems for underground coal mine personnel and mitigate the von Neumann bottleneck, this study proposes a novel positioning system based on a memristive convolutional neural network (MCNN).
Qi Chen +6 more
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Abstract To enhance the performance of visible light positioning (VLP) systems for underground coal mine personnel and mitigate the von Neumann bottleneck, this study proposes a novel positioning system based on a memristive convolutional neural network (MCNN).
Qi Chen +6 more
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MFSS - communication, warning and positioning of the personnel in underground coal mines
Mining Industry Journal (Gornay Promishlennost), 2019A.V. Novikov +2 more
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Achieving Reliable Underground Positioning With Visible Light
IEEE Transactions on Instrumentation and Measurement, 2022Mingzhi Pang, Gang Shen, Xu Yang
exaly
A Review on Non-RF Underground Positioning Techniques for Mining Applications
IEEE Transactions on Instrumentation and Measurement, 2023Mohammad Zeeshan +2 more
exaly