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Production analysis of functionally distributed machines for underground mining
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作者 Fukui Rui Kusaka Kouhei +3 位作者 Nakao Masayuki Kodama Yuichi Uetake Masaaki Kawai Kazunari 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2016年第3期477-485,共9页
Recent years, underground mining method is becoming popular because of its potentially high productivity and efficiency. In this method, a mining machinery; load haul dump(LHD), is used as both an excavator and a tran... Recent years, underground mining method is becoming popular because of its potentially high productivity and efficiency. In this method, a mining machinery; load haul dump(LHD), is used as both an excavator and a transporter of ore. This paper proposes a distributed system that realizes the excavation and transport functions with separated vehicles, an excavator and a transporter. In addition, this research proposes a mining map and configurations suitable for the proposed distributed system. To evaluate the productivity of the proposed system, a simulation environment has been developed. Analysis using the simulator reveals what performance factors of the excavator and the transporter have large impacts on the productivity. Simulation results also demonstrate the difference of potential between LHD system and the distributed system that can be explained based on their functions allocation. 展开更多
关键词 Underground mining Mining machinery Autonomous system design distributed system System configuration
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Blockchain-based reporting protocols as a collective monitoring mechanism in DAOs
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作者 Saeed Banaeian Far Seyed Mojtaba Hosseini Bamakan 《Data Science and Management》 2022年第1期11-12,共2页
As a recent decentralized business model,Distributed Autonomous Organization(DAO)challenges the management paradigms of conventional organizations and represents the future of democracy-based systems.However,DAOs are ... As a recent decentralized business model,Distributed Autonomous Organization(DAO)challenges the management paradigms of conventional organizations and represents the future of democracy-based systems.However,DAOs are facing challenges that can be divided into two categories,including policy-based and technical challenges.Detecting misbehaving nodes is a crucial challenge that is considered in both categories.Designing mechanisms to report malicious behaviors while maintaining anonymity is essential for the survival and efficiency of DAOs.In this paper,we clarify the problem,and introduce Blockchain-Based Anonymous Reporting(BBAR)as a collective monitoring mechanism in DAOs with its requirements and implementation methods. 展开更多
关键词 Blockchain distributed Autonomous Organization(DAO) Privacy-preserving Misbehaving detection Anonymous reporting
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