In order to solve the problem of low precision and complication of three-dimensional modeling about micro-segment gear, one method of setting up the accurate 3D model is introduced. At first, the equation of the profi...In order to solve the problem of low precision and complication of three-dimensional modeling about micro-segment gear, one method of setting up the accurate 3D model is introduced. At first, the equation of the profile curve and the dedendum transition curve is set up, and the coordinates of the whole tooth profile are calculated by the program developed by Dephi software. And then the data of coordinates is imported to Catia, three-dimensional modeling can be got through the operations of rotating, mirror, incision and array. The method used in this paper is accurate and simple, which supplies the academic basis of CAE analysis and virtual design for micro-segment gear and relevant products.展开更多
地图匹配是智能交通系统中的核心技术之一,旨在将GPS轨迹数据映射至城市路网上,消除定位误差并还原实际行驶路径。随着GPS轨迹数据量的爆炸性增长,传统的基于隐马尔可夫模型(HMM)的地图匹配方法因高计算成本和时序依赖性问题,难以满足...地图匹配是智能交通系统中的核心技术之一,旨在将GPS轨迹数据映射至城市路网上,消除定位误差并还原实际行驶路径。随着GPS轨迹数据量的爆炸性增长,传统的基于隐马尔可夫模型(HMM)的地图匹配方法因高计算成本和时序依赖性问题,难以满足实时处理要求。为此,提出了一种基于轨迹微分段模型的快速地图匹配方法(Micro-Segment Fast Matching,MSFM)。该方法基于滑动窗口机制,将轨迹分解为固定长度的微轨迹段,在分布式计算环境中利用向量化计算方法,在兼顾地图匹配准确性的条件下大幅度提升了计算效率。实验结果表明,在给定的分布式集群环境下,MSFM实现了约110000点/秒的地图匹配速度,比基准算法快约7倍,同时保持了95.86%的匹配准确率。MSFM方法通过改进轨迹数据的存储结构,在高效实时处理大规模轨迹数据方面具有显著的性能优势。展开更多
In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized technology.Zero Trust not ...In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized technology.Zero Trust not only addresses the shortcomings of traditional perimeter security models but also consistently follows the fundamental principle of“never trust,always verify.”Initially proposed by John Cortez in 2010 and subsequently promoted by Google,the Zero Trust model has become a key approach to addressing the ever-growing security threats in complex network environments.This paper systematically compares the current mainstream cybersecurity models,thoroughly explores the advantages and limitations of the Zero Trust model,and provides an in-depth review of its components and key technologies.Additionally,it analyzes the latest research achievements in the application of Zero Trust technology across various fields,including network security,6G networks,the Internet of Things(IoT),and cloud computing,in the context of specific use cases.The paper also discusses the innovative contributions of the Zero Trust model in these fields,the challenges it faces,and proposes corresponding solutions and future research directions.展开更多
工业物联网(industrial Internet of things,IIoT)正面临着日益严峻的安全威胁,传统边界型安全模型已无法应对复杂多变的需求.零信任作为一种新兴的安全模型,以“绝不信任,始终认证”为核心原则,逐渐受到关注.然而,零信任在IIoT中的研...工业物联网(industrial Internet of things,IIoT)正面临着日益严峻的安全威胁,传统边界型安全模型已无法应对复杂多变的需求.零信任作为一种新兴的安全模型,以“绝不信任,始终认证”为核心原则,逐渐受到关注.然而,零信任在IIoT中的研究与应用仍处于起步阶段,亟需更加全面且系统的探索.系统综述了近年来工业领域零信任的发展与应用,重点分析其核心技术与实践场景,并明确当前研究趋势和未来方向.首先介绍了工业零信任的基本概念和原则,为后续讨论奠定理论基础.随后,系统梳理了工业零信任架构的迁移与评估方法,并总结了身份认证、软件定义边界、微隔离、信道安全及信任评估等关键技术,这些技术构成了工业零信任的核心支撑体系.此外,深入探讨了访问控制在零信任中的关键作用及其在权限管理中的价值.结合IIoT的典型应用场景,进一步分析零信任在复杂环境中的实践优势,最后总结了工业零信任的现存挑战和未来发展.展开更多
基金Support by Nation Science and Technology (2009BAG12B03)
文摘In order to solve the problem of low precision and complication of three-dimensional modeling about micro-segment gear, one method of setting up the accurate 3D model is introduced. At first, the equation of the profile curve and the dedendum transition curve is set up, and the coordinates of the whole tooth profile are calculated by the program developed by Dephi software. And then the data of coordinates is imported to Catia, three-dimensional modeling can be got through the operations of rotating, mirror, incision and array. The method used in this paper is accurate and simple, which supplies the academic basis of CAE analysis and virtual design for micro-segment gear and relevant products.
文摘地图匹配是智能交通系统中的核心技术之一,旨在将GPS轨迹数据映射至城市路网上,消除定位误差并还原实际行驶路径。随着GPS轨迹数据量的爆炸性增长,传统的基于隐马尔可夫模型(HMM)的地图匹配方法因高计算成本和时序依赖性问题,难以满足实时处理要求。为此,提出了一种基于轨迹微分段模型的快速地图匹配方法(Micro-Segment Fast Matching,MSFM)。该方法基于滑动窗口机制,将轨迹分解为固定长度的微轨迹段,在分布式计算环境中利用向量化计算方法,在兼顾地图匹配准确性的条件下大幅度提升了计算效率。实验结果表明,在给定的分布式集群环境下,MSFM实现了约110000点/秒的地图匹配速度,比基准算法快约7倍,同时保持了95.86%的匹配准确率。MSFM方法通过改进轨迹数据的存储结构,在高效实时处理大规模轨迹数据方面具有显著的性能优势。
基金supported by the National Natural Science Foundation of China(Grants Nos.62473146,62072249 and 62072056)the National Science Foundation of Hunan Province(Grant No.2024JJ3017)+1 种基金the Hunan Provincial Key Research and Development Program(Grant No.2022GK2019)by the Researchers Supporting Project Number(RSP2024R509),King Saud University,Riyadh,Saudi Arabia.
文摘In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized technology.Zero Trust not only addresses the shortcomings of traditional perimeter security models but also consistently follows the fundamental principle of“never trust,always verify.”Initially proposed by John Cortez in 2010 and subsequently promoted by Google,the Zero Trust model has become a key approach to addressing the ever-growing security threats in complex network environments.This paper systematically compares the current mainstream cybersecurity models,thoroughly explores the advantages and limitations of the Zero Trust model,and provides an in-depth review of its components and key technologies.Additionally,it analyzes the latest research achievements in the application of Zero Trust technology across various fields,including network security,6G networks,the Internet of Things(IoT),and cloud computing,in the context of specific use cases.The paper also discusses the innovative contributions of the Zero Trust model in these fields,the challenges it faces,and proposes corresponding solutions and future research directions.
文摘工业物联网(industrial Internet of things,IIoT)正面临着日益严峻的安全威胁,传统边界型安全模型已无法应对复杂多变的需求.零信任作为一种新兴的安全模型,以“绝不信任,始终认证”为核心原则,逐渐受到关注.然而,零信任在IIoT中的研究与应用仍处于起步阶段,亟需更加全面且系统的探索.系统综述了近年来工业领域零信任的发展与应用,重点分析其核心技术与实践场景,并明确当前研究趋势和未来方向.首先介绍了工业零信任的基本概念和原则,为后续讨论奠定理论基础.随后,系统梳理了工业零信任架构的迁移与评估方法,并总结了身份认证、软件定义边界、微隔离、信道安全及信任评估等关键技术,这些技术构成了工业零信任的核心支撑体系.此外,深入探讨了访问控制在零信任中的关键作用及其在权限管理中的价值.结合IIoT的典型应用场景,进一步分析零信任在复杂环境中的实践优势,最后总结了工业零信任的现存挑战和未来发展.
