"IN LIBRARY"和地铁图书馆是图书馆跨界合作的先行者。文章分别梳理了其发展历程,并通过比较分析,指出二者跨界合作的五点共同之处:以公益推进阅读、以合作延伸图书馆服务空间、开展若干文化活动、借重于现代技术手段、处于..."IN LIBRARY"和地铁图书馆是图书馆跨界合作的先行者。文章分别梳理了其发展历程,并通过比较分析,指出二者跨界合作的五点共同之处:以公益推进阅读、以合作延伸图书馆服务空间、开展若干文化活动、借重于现代技术手段、处于起步与探索阶段,同时也指出其在合作机构性质、服务内容与方式、服务对象三方面存在差异,最后提出完善其各自的跨界合作、携手开展更好的合作、拓展更多更广的合作三点启示。展开更多
Human Library是近几年来国内外兴起的一种全新阅读新生态,为公共图书馆开展阅读活动开启了新范式。依托离退休人力资源开展真人书活动,可以实现馆员、离退休人员和图书馆的共赢,对老龄化社会和谐构建具有深远意义。本文探讨了该范式服...Human Library是近几年来国内外兴起的一种全新阅读新生态,为公共图书馆开展阅读活动开启了新范式。依托离退休人力资源开展真人书活动,可以实现馆员、离退休人员和图书馆的共赢,对老龄化社会和谐构建具有深远意义。本文探讨了该范式服务的意义、新特征及其优势,提出了公共图书馆可以通过下列方式,构建实施离退休人力资源真人图书馆阅读新范式:建立真人书(Human book)目录系统、加强培训指导、开展馆际社会合作、借阅流通和评估反馈。展开更多
To improve the efficiency of safety tests of driver-automation cooperation,a method for generating a scenario library is proposed that considers the probability of scenario occurrence and driver-handling challenges in...To improve the efficiency of safety tests of driver-automation cooperation,a method for generating a scenario library is proposed that considers the probability of scenario occurrence and driver-handling challenges in real driving situations.First,the original scenario data under cut-in conditions stored in a time series are extracted from the scenario data set.Then,a mathematical performance index is used to model the scenario and a significance function in terms of the occurrence frequency of the scenario,and the performance challenge between the driver and the vehicle is established.Next,the important scenario set is extracted from the original scenario set by constructing and optimizing a significance auxiliary function.Finally,the extracted important scenario sets are filtered by using the significance function values of the scenarios to generate a scenario library.Simulation results show that the proposed method for scenario library generation can effectively identify scenarios with potential adventure during driver-automation cooperation and thus accelerate safety tests compared with traditional methods.展开更多
基金Major Project of Scientific and Technological Innovation 2030“New Generation Artificial Intelligence”(Grant No.2020AAA0108105)National Nature Science Foundation of China(Grants Nos.62103162 and U19A2069)+1 种基金Jilin Key Research and Development Program(Grant No.20200401088GX)the Jilin Major Science and Technology Projects(Grant No.20200501011GX).
文摘To improve the efficiency of safety tests of driver-automation cooperation,a method for generating a scenario library is proposed that considers the probability of scenario occurrence and driver-handling challenges in real driving situations.First,the original scenario data under cut-in conditions stored in a time series are extracted from the scenario data set.Then,a mathematical performance index is used to model the scenario and a significance function in terms of the occurrence frequency of the scenario,and the performance challenge between the driver and the vehicle is established.Next,the important scenario set is extracted from the original scenario set by constructing and optimizing a significance auxiliary function.Finally,the extracted important scenario sets are filtered by using the significance function values of the scenarios to generate a scenario library.Simulation results show that the proposed method for scenario library generation can effectively identify scenarios with potential adventure during driver-automation cooperation and thus accelerate safety tests compared with traditional methods.