As maritime activities increase globally,there is a greater dependency on technology in monitoring,control,and surveillance of vessel activity.One of the most prominent systems for monitoring vessel activity is the Au...As maritime activities increase globally,there is a greater dependency on technology in monitoring,control,and surveillance of vessel activity.One of the most prominent systems for monitoring vessel activity is the Automatic Identification System(AIS).An increase in both vessels fitted with AIS transponders and satellite and terrestrial AIS receivers has resulted in a significant increase in AIS messages received globally.This resultant rich spatial and temporal data source related to vessel activity provides analysts with the ability to perform enhanced vessel movement analytics,of which a pertinent example is the improvement of vessel location predictions.In this paper,we propose a novel strategy for predicting future locations of vessels making use of historic AIS data.The proposed method uses a Linear Regression Model(LRM)and utilizes historic AIS movement data in the form of a-priori generated spatial maps of the course over ground(LRMAC).The LRMAC is an accurate low complexity first-order method that is easy to implement operationally and shows promising results in areas where there is a consistency in the directionality of historic vessel movement.In areas where the historic directionality of vessel movement is diverse,such as areas close to harbors and ports,the LRMAC defaults to the LRM.The proposed LRMAC method is compared to the Single-Point Neighbor Search(SPNS),which is also a first-order method and has a similar level of computational complexity,and for the use case of predicting tanker and cargo vessel trajectories up to 8 hours into the future,the LRMAC showed improved results both in terms of prediction accuracy and execution time.展开更多
《资源描述与检索》(Resource Description and Access,RDA)作为国际最新编目规则,突破语言屏障和载体限制,实现与各国编目实践的无缝连接,方便各编目机构应用。国家图书馆于2012年启动RDA的相关研究与实践工作,对外紧密追踪国际动态,...《资源描述与检索》(Resource Description and Access,RDA)作为国际最新编目规则,突破语言屏障和载体限制,实现与各国编目实践的无缝连接,方便各编目机构应用。国家图书馆于2012年启动RDA的相关研究与实践工作,对外紧密追踪国际动态,对内遵循认识RDA、解析RDA、实践RDA、应用RDA的科学规律,在理论研究和实践探索方面均取得丰硕成果。回顾国家图书馆RDA本地化的历程,探讨RDA实施经验,为担当亚洲地区国家机构代表参与国际RDA管理、应对3R计划的挑战等工作指明新路向。展开更多
文摘As maritime activities increase globally,there is a greater dependency on technology in monitoring,control,and surveillance of vessel activity.One of the most prominent systems for monitoring vessel activity is the Automatic Identification System(AIS).An increase in both vessels fitted with AIS transponders and satellite and terrestrial AIS receivers has resulted in a significant increase in AIS messages received globally.This resultant rich spatial and temporal data source related to vessel activity provides analysts with the ability to perform enhanced vessel movement analytics,of which a pertinent example is the improvement of vessel location predictions.In this paper,we propose a novel strategy for predicting future locations of vessels making use of historic AIS data.The proposed method uses a Linear Regression Model(LRM)and utilizes historic AIS movement data in the form of a-priori generated spatial maps of the course over ground(LRMAC).The LRMAC is an accurate low complexity first-order method that is easy to implement operationally and shows promising results in areas where there is a consistency in the directionality of historic vessel movement.In areas where the historic directionality of vessel movement is diverse,such as areas close to harbors and ports,the LRMAC defaults to the LRM.The proposed LRMAC method is compared to the Single-Point Neighbor Search(SPNS),which is also a first-order method and has a similar level of computational complexity,and for the use case of predicting tanker and cargo vessel trajectories up to 8 hours into the future,the LRMAC showed improved results both in terms of prediction accuracy and execution time.
文摘《资源描述与检索》(Resource Description and Access,RDA)作为国际最新编目规则,突破语言屏障和载体限制,实现与各国编目实践的无缝连接,方便各编目机构应用。国家图书馆于2012年启动RDA的相关研究与实践工作,对外紧密追踪国际动态,对内遵循认识RDA、解析RDA、实践RDA、应用RDA的科学规律,在理论研究和实践探索方面均取得丰硕成果。回顾国家图书馆RDA本地化的历程,探讨RDA实施经验,为担当亚洲地区国家机构代表参与国际RDA管理、应对3R计划的挑战等工作指明新路向。
