Maritime radar and automatic identification systems (AIS), which are essential auxiliary equipment for navigation safety in the shipping industry, have played significant roles in maritime safety supervision. However,...Maritime radar and automatic identification systems (AIS), which are essential auxiliary equipment for navigation safety in the shipping industry, have played significant roles in maritime safety supervision. However, in practical applications, the information obtained by a single device is limited, and it is necessary to integrate the information of maritime radar and AIS messages to achieve better recognition effects. In this study, the D-S evidence theory is used to fusion the two kinds of heterogeneous information: maritime radar images and AIS messages. Firstly, the radar image and AIS message are processed to get the targets of interest in the same coordinate system. Then, the coordinate position and heading of targets are chosen as the indicators for judging target similarity. Finally, a piece of D-S evidence theory based on the information fusion method is proposed to match the radar target and the AIS target of the same ship. Particularly, the effectiveness of the proposed method has been validated and evaluated through several experiments, which proves that such a method is practical in maritime safety supervision.展开更多
Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quali...Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quality of healthcare.However,the shortcomings of the traditional FMEA method have been widely discussed in literatures.This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability.The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers.Meanwhile,the interval probability comparison method is applied to analyze failure modes.Finally,a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.展开更多
文摘Maritime radar and automatic identification systems (AIS), which are essential auxiliary equipment for navigation safety in the shipping industry, have played significant roles in maritime safety supervision. However, in practical applications, the information obtained by a single device is limited, and it is necessary to integrate the information of maritime radar and AIS messages to achieve better recognition effects. In this study, the D-S evidence theory is used to fusion the two kinds of heterogeneous information: maritime radar images and AIS messages. Firstly, the radar image and AIS message are processed to get the targets of interest in the same coordinate system. Then, the coordinate position and heading of targets are chosen as the indicators for judging target similarity. Finally, a piece of D-S evidence theory based on the information fusion method is proposed to match the radar target and the AIS target of the same ship. Particularly, the effectiveness of the proposed method has been validated and evaluated through several experiments, which proves that such a method is practical in maritime safety supervision.
基金supported by the National Natural Science Foundation of China(Nos.71931006,71702072)the Natural Science Foundation for Jiangsu Institutions(No.BK20170810)the China Postdoctoral Science Foundation(No.2019T120429,2017M611808)
文摘Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quality of healthcare.However,the shortcomings of the traditional FMEA method have been widely discussed in literatures.This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability.The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers.Meanwhile,the interval probability comparison method is applied to analyze failure modes.Finally,a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.
