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A Physical Layer Network Coding Based Tag Anti-Collision Algorithm for RFID System 被引量:3
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作者 Cuixiang Wang xing shao +1 位作者 Yifan Meng Jun Gao 《Computers, Materials & Continua》 SCIE EI 2021年第1期931-945,共15页
In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,w... In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,which results in a collision and leads to the degrading of tags identifying efficiency.To improve the multiple tags’identifying efficiency due to collision,a physical layer network coding based binary search tree algorithm(PNBA)is proposed in this paper.PNBA pushes the conflicting signal information of multiple tags into a stack,which is discarded by the traditional anti-collision algorithm.In addition,physical layer network coding is exploited by PNBA to obtain unread tag information through the decoding operation of physical layer network coding using the conflicting information in the stack.Therefore,PNBA reduces the number of interactions between reader and tags,and improves the tags identification efficiency.Theoretical analysis and simulation results using MATLAB demonstrate that PNBA reduces the number of readings,and improve RFID identification efficiency.Especially,when the number of tags to be identified is 100,the average needed reading number of PNBA is 83%lower than the basic binary search tree algorithm,43%lower than reverse binary search tree algorithm,and its reading efficiency reaches 0.93. 展开更多
关键词 Radio frequency identification(RFID) tag anti-collision algorithm physical layer network coding binary search tree algorithm
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老年重症患者骨质流失相关危险因素分析
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作者 童洪杰 潘飞艳 +3 位作者 邵兴 张晓玲 倪红英 陈琨 《中华老年病研究电子杂志》 2022年第2期22-26,共5页
目的探讨老年重症患者骨质流失的相关危险因素。方法纳入2020年7月至2021年7月浙江大学医学院附属金华医院收治的老年重症患者,测量其入住ICU前后的骨密度数据,T值下降>10%为存在骨质流失。先采用t检验、秩和检验、χ^(2)检验比较骨... 目的探讨老年重症患者骨质流失的相关危险因素。方法纳入2020年7月至2021年7月浙江大学医学院附属金华医院收治的老年重症患者,测量其入住ICU前后的骨密度数据,T值下降>10%为存在骨质流失。先采用t检验、秩和检验、χ^(2)检验比较骨质流失组与对照组临床资料的差异,再通过多因素logistic回归分析骨质流失的相关危险因素。结果共纳入老年重症患者71例,骨质流失组41例,对照组30例。与对照组比较,骨质流失组入院时氧合指数较低、序贯器官衰竭评估评分较高、接受连续性肾脏替代治疗患者的比例较高、机械通气时间及制动时间均较长(t=-3.516,χ^(2)=8.019,Z=-3.990、-3.161、-2.056,P<0.05或0.01)。两组患者入ICU时实验室检查指标中仅白细胞计数、C反应蛋白、白介素-6的差异有统计学意义(t=2.682,Z=-3.108、3.307,P<0.01)。多因素分析结果显示,引起患者骨质流失的相关危险因素包括入ICU时SOFA评分高、白介素-6水平高,住ICU期间行CRRT以及机械通气时间长(OR=1.223、1.080、6.635、1.004,P<0.05)。结论老年重症患者住ICU期间发生骨质流失的风险较高,引起骨质流失相关的危险因素包括入ICU时SOFA评分高、白介素-6水平高,住ICU期间进行CRRT以及机械通气时间长。 展开更多
关键词 骨质流失 危险因素 危重症 重症监护病房 老年人
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