Due to more tag-collisions result in failed transmissions,tag anti-collision is a very vital issue in the radio frequency identification(RFID) system.However,so far decreases in communication time and increases in thr...Due to more tag-collisions result in failed transmissions,tag anti-collision is a very vital issue in the radio frequency identification(RFID) system.However,so far decreases in communication time and increases in throughput are very limited.In order to solve these problems,this paper presents a novel tag anti-collision scheme,namely adaptive hybrid search tree(AHST),by combining two algorithms of the adaptive binary-tree disassembly(ABD) and the combination query tree(CQT),in which ABD has superior tag identification velocity and CQT has optimum performance in system throughput and search timeslots.From the theoretical analysis and numerical simulations,the proposed algorithm can colligate the advantages of above algorithms,improve the system throughput and reduce the searching timeslots dramatically.展开更多
通过对中国联通华东云数据中心无锡机房的人工智能(Artificial Intelligence,AI)节能效果进行研究,优化暖通及配电系统的运行状态,实现数据中心的综合节能。通过收集自动环、水冷式机组系统数据,根据机械室各技术参数间的映射关系构建基...通过对中国联通华东云数据中心无锡机房的人工智能(Artificial Intelligence,AI)节能效果进行研究,优化暖通及配电系统的运行状态,实现数据中心的综合节能。通过收集自动环、水冷式机组系统数据,根据机械室各技术参数间的映射关系构建基于AI大数据分析的智慧型节能系统,利用大数据的算法解析获取节电决策中所需要的调整依据,并对机械室未来耗电量变化趋势进行预估,结合AI控制实现互联网数据中心(Internet Date Center,IDC)机房的优化和节能。采用AI的思维模式,通过不断积累机房运维方面的人工控制知识,建立节能控制策略规则体系库,提高总体节能成效。展开更多
基金Supported by the National Natural Science Foundation of China(No.61401407)
文摘Due to more tag-collisions result in failed transmissions,tag anti-collision is a very vital issue in the radio frequency identification(RFID) system.However,so far decreases in communication time and increases in throughput are very limited.In order to solve these problems,this paper presents a novel tag anti-collision scheme,namely adaptive hybrid search tree(AHST),by combining two algorithms of the adaptive binary-tree disassembly(ABD) and the combination query tree(CQT),in which ABD has superior tag identification velocity and CQT has optimum performance in system throughput and search timeslots.From the theoretical analysis and numerical simulations,the proposed algorithm can colligate the advantages of above algorithms,improve the system throughput and reduce the searching timeslots dramatically.
文摘通过对中国联通华东云数据中心无锡机房的人工智能(Artificial Intelligence,AI)节能效果进行研究,优化暖通及配电系统的运行状态,实现数据中心的综合节能。通过收集自动环、水冷式机组系统数据,根据机械室各技术参数间的映射关系构建基于AI大数据分析的智慧型节能系统,利用大数据的算法解析获取节电决策中所需要的调整依据,并对机械室未来耗电量变化趋势进行预估,结合AI控制实现互联网数据中心(Internet Date Center,IDC)机房的优化和节能。采用AI的思维模式,通过不断积累机房运维方面的人工控制知识,建立节能控制策略规则体系库,提高总体节能成效。
