为提高物流仓储定位效率与精度,提出基于射频识别(Radio Frequency Identification,RFID)电子标签的物联网物流仓储智能定位研究。首先,以芯片、天线作为射频标签的核心,设计物联网物流仓储物资RFID信息编码规则;其次,结合自动导引运输...为提高物流仓储定位效率与精度,提出基于射频识别(Radio Frequency Identification,RFID)电子标签的物联网物流仓储智能定位研究。首先,以芯片、天线作为射频标签的核心,设计物联网物流仓储物资RFID信息编码规则;其次,结合自动导引运输车(Automated Guided Vehicle,AGV)和RFID射频识别技术识别标签,基于标签地点信息,实现物流仓储信息的序列编码;最后,引进空间传输模型,在考虑信号传输距离损失的基础上,设计基于接收信号强度指示(Received Signal Strength Indicator,RSSI)测距的仓储智能定位。实验结果表明,设计方法可以提高仓储定位精度和定位工作的时效性,为物流管理提供技术支持。展开更多
Background:The aim of this study was to investigate the influence of marking meth-ods on the outcomes of body composition analysis and provide guidance for the se-lection of marking methods in mouse body composition a...Background:The aim of this study was to investigate the influence of marking meth-ods on the outcomes of body composition analysis and provide guidance for the se-lection of marking methods in mouse body composition analysis.Methods:Male C57BL/6J mice aged 6 weeks were randomly assigned for pre-and post-ear tagging measurements.The body composition of the mice was measured using a small animal body composition analyzer,which provided measurements of the mass of fat,lean,and free fluid.Then,the mass of fat,lean and free fluid to body weight ratio was gained.Further data analysis was conducted to obtain the range and coeffi-cient of variation in body composition measurements for each mouse.The distribution of fat and lean tissue in the mice was also analyzed by comparing the fat-to-lean ratio.Results:(1)The mass of all body composition components in the ear tagging group was significantly lower than that in the control group.(2)There was a significant in-crease in the range and coefficient of variation of body composition measurements between the ear tagging group and the control group.(3)The fat-to-lean ratio in the ear tagging group was significantly lower than that in the control group.Conclusions:Ear tagging significantly lowered the results of body composition analy-sis in mice and higher the results of measurement error.Therefore,ear tagging should be avoided as much as possible when conducting body composition analysis experi-ments in mice.展开更多
文摘为提高物流仓储定位效率与精度,提出基于射频识别(Radio Frequency Identification,RFID)电子标签的物联网物流仓储智能定位研究。首先,以芯片、天线作为射频标签的核心,设计物联网物流仓储物资RFID信息编码规则;其次,结合自动导引运输车(Automated Guided Vehicle,AGV)和RFID射频识别技术识别标签,基于标签地点信息,实现物流仓储信息的序列编码;最后,引进空间传输模型,在考虑信号传输距离损失的基础上,设计基于接收信号强度指示(Received Signal Strength Indicator,RSSI)测距的仓储智能定位。实验结果表明,设计方法可以提高仓储定位精度和定位工作的时效性,为物流管理提供技术支持。
文摘Background:The aim of this study was to investigate the influence of marking meth-ods on the outcomes of body composition analysis and provide guidance for the se-lection of marking methods in mouse body composition analysis.Methods:Male C57BL/6J mice aged 6 weeks were randomly assigned for pre-and post-ear tagging measurements.The body composition of the mice was measured using a small animal body composition analyzer,which provided measurements of the mass of fat,lean,and free fluid.Then,the mass of fat,lean and free fluid to body weight ratio was gained.Further data analysis was conducted to obtain the range and coeffi-cient of variation in body composition measurements for each mouse.The distribution of fat and lean tissue in the mice was also analyzed by comparing the fat-to-lean ratio.Results:(1)The mass of all body composition components in the ear tagging group was significantly lower than that in the control group.(2)There was a significant in-crease in the range and coefficient of variation of body composition measurements between the ear tagging group and the control group.(3)The fat-to-lean ratio in the ear tagging group was significantly lower than that in the control group.Conclusions:Ear tagging significantly lowered the results of body composition analy-sis in mice and higher the results of measurement error.Therefore,ear tagging should be avoided as much as possible when conducting body composition analysis experi-ments in mice.
