With the rapid development of smart phone,the location-based services(LBS)have received great attention in the past decades.Owing to the widespread use of WiFi and Bluetooth devices,Received Signal Strength Indication...With the rapid development of smart phone,the location-based services(LBS)have received great attention in the past decades.Owing to the widespread use of WiFi and Bluetooth devices,Received Signal Strength Indication(RSSI)fingerprintbased localization method has obtained much development in both academia and industries.In this work,we introduce an efficient way to reduce the labor-intensive site survey process,which uses an UWB/IMU-assisted fingerprint construction(UAFC)and localization framework based on the principle of Automatic radio map generation scheme(ARMGS)is proposed to replace the traditional manual measurement.To be specific,UWB devices are employed to estimate the coordinates when the collector is moved in a reference point(RP).An anchor self-localization method is investigated to further reduce manual measurement work in a wide and complex environment,which is also a grueling,time-consuming process that is lead to artificial errors.Moreover,the measurements of IMU are incorporated into the UWB localization algorithm and improve the label accuracy in fingerprint.In addition,the weighted k-nearest neighbor(WKNN)algorithm is applied to online localization phase.Finally,filed experiments are carried out and the results confirm the effectiveness of the proposed approach.展开更多
Owing to the ubiquity of wireless networks and the popularity of WiFi infrastructures,received signal strength(RSS)-based indoor localization systems have received much attention.The placement of access points(APs)sig...Owing to the ubiquity of wireless networks and the popularity of WiFi infrastructures,received signal strength(RSS)-based indoor localization systems have received much attention.The placement of access points(APs)significantly influences localization accuracy and network access.However,the indoor scenario and network access are not fully considered in previous AP placement optimization methods.This study proposes a practical scenario modelingaided AP placement optimization method for improving localization accuracy and network access.In order to reduce the gap between simulation-based and field measurement-based AP placement optimization methods,we introduce an indoor scenario modeling and Gaussian process-based RSS prediction method.After that,the localization and network access metrics are implemented in the multiple objective particle swarm optimization(MOPSO)solution,Pareto front criterion and virtual repulsion force are applied to determine the optimal AP placement.Finally,field experiments demonstrate the effectiveness of the proposed indoor scenario modeling method and RSS prediction model.A thorough comparison confirms the localization and network access improvement attributed to the proposed anchor placement method.展开更多
目的:研究比较两种基质辅助激光解吸电离飞行时间质谱仪(Autof ms 1000与MALDI Biotyper)对临床常见丝状病原真菌鉴定的准确性和效率。方法:共纳入32株丝状病原真菌标准菌株和120株临床分离菌株,按照标准操作方法分别用Autof ms 1000与M...目的:研究比较两种基质辅助激光解吸电离飞行时间质谱仪(Autof ms 1000与MALDI Biotyper)对临床常见丝状病原真菌鉴定的准确性和效率。方法:共纳入32株丝状病原真菌标准菌株和120株临床分离菌株,按照标准操作方法分别用Autof ms 1000与MALDI Biotyper对相关菌株进行鉴定,对相关结果及测序分子鉴定结果进行对比分析。结果:在种水平上,Autof ms 1000质谱仪共检出140株丝状病原真菌,检出正确率为92.1%(140/152),其中126株分值在9.0以上,2株出现错误鉴定,误鉴定比例为1.3%(2/152);MALDI Biotyper质谱仪共正确检出98株,检出正确率为64.4%,2.0分以上的菌株47株,仅3株鉴定分值大于2.3分,7株出现误鉴定。结论:Autof ms 1000与MALDI Biotyper这两种质谱鉴定系统均能用于临床常见丝状病原真菌的快速鉴定,而Autof ms 1000质谱仪更具优势。展开更多
文摘With the rapid development of smart phone,the location-based services(LBS)have received great attention in the past decades.Owing to the widespread use of WiFi and Bluetooth devices,Received Signal Strength Indication(RSSI)fingerprintbased localization method has obtained much development in both academia and industries.In this work,we introduce an efficient way to reduce the labor-intensive site survey process,which uses an UWB/IMU-assisted fingerprint construction(UAFC)and localization framework based on the principle of Automatic radio map generation scheme(ARMGS)is proposed to replace the traditional manual measurement.To be specific,UWB devices are employed to estimate the coordinates when the collector is moved in a reference point(RP).An anchor self-localization method is investigated to further reduce manual measurement work in a wide and complex environment,which is also a grueling,time-consuming process that is lead to artificial errors.Moreover,the measurements of IMU are incorporated into the UWB localization algorithm and improve the label accuracy in fingerprint.In addition,the weighted k-nearest neighbor(WKNN)algorithm is applied to online localization phase.Finally,filed experiments are carried out and the results confirm the effectiveness of the proposed approach.
文摘Owing to the ubiquity of wireless networks and the popularity of WiFi infrastructures,received signal strength(RSS)-based indoor localization systems have received much attention.The placement of access points(APs)significantly influences localization accuracy and network access.However,the indoor scenario and network access are not fully considered in previous AP placement optimization methods.This study proposes a practical scenario modelingaided AP placement optimization method for improving localization accuracy and network access.In order to reduce the gap between simulation-based and field measurement-based AP placement optimization methods,we introduce an indoor scenario modeling and Gaussian process-based RSS prediction method.After that,the localization and network access metrics are implemented in the multiple objective particle swarm optimization(MOPSO)solution,Pareto front criterion and virtual repulsion force are applied to determine the optimal AP placement.Finally,field experiments demonstrate the effectiveness of the proposed indoor scenario modeling method and RSS prediction model.A thorough comparison confirms the localization and network access improvement attributed to the proposed anchor placement method.
文摘目的:研究比较两种基质辅助激光解吸电离飞行时间质谱仪(Autof ms 1000与MALDI Biotyper)对临床常见丝状病原真菌鉴定的准确性和效率。方法:共纳入32株丝状病原真菌标准菌株和120株临床分离菌株,按照标准操作方法分别用Autof ms 1000与MALDI Biotyper对相关菌株进行鉴定,对相关结果及测序分子鉴定结果进行对比分析。结果:在种水平上,Autof ms 1000质谱仪共检出140株丝状病原真菌,检出正确率为92.1%(140/152),其中126株分值在9.0以上,2株出现错误鉴定,误鉴定比例为1.3%(2/152);MALDI Biotyper质谱仪共正确检出98株,检出正确率为64.4%,2.0分以上的菌株47株,仅3株鉴定分值大于2.3分,7株出现误鉴定。结论:Autof ms 1000与MALDI Biotyper这两种质谱鉴定系统均能用于临床常见丝状病原真菌的快速鉴定,而Autof ms 1000质谱仪更具优势。
