全球5G研究动态和标准进展

总结了国际5G总体进展及趋势,包括国际电信联盟(ITU)在未来用户、业务趋势、5G关键能力需求等方面的核心研究成果和制定的5G工作计划,3GPP的5G工作计划以及欧盟METIS科技项目的主要研究内容及成果;并介绍了NGMN的5G研究动态;最后,介绍了我国IMT-2020推进组在5G愿景、技术场景、关键能力、总体概念和核心技术等方面的研究成果.     

无线传感器网络中自修复密钥颁布机制中滑动窗口的动态性探讨

在很多自修复密钥颁布机制中,滑动窗口大小影响着密钥的修复性能和通信开销.本文利用概率知识,首次建立了滑动窗口和丢包率对节点密钥同步性能、组安全关联性能和安全服务性能的数学模型.设计了适应链路动态变化特性的滑动窗口选择机制,采用查找表方式优化了计算和存储开销.仿真验证了该机制具有动态适应性,可以高概率的保证网络的安全服务性能.与已有机制相比,所提机制显著降低了通信开销,具有可行性和高效性,进一步推动了自修复密钥颁布机制的实际应用.     

5G背景下无人驾驶汽车关键技术在疫情环境中的应用研究

5G移动通信技术的发展,为无人驾驶汽车的高速反应、安全驾驶提供了更多的技术可能,无人驾驶汽车的关键技术包括导航定位、环境感知、路径规划、稳定牵引控制、防抱死制动和自动泊车技术,以上关键技术的实现,还需传感器、GPS和北斗卫星导航系统、RFID无线射频技术等信息技术的支持.无人驾驶汽车的高速发展使得其可以更快地投入现实使用,解决人们的日常生产、生活问题,保障人们的生命财产安全.     

核燃料循环设施安全关键岗位识别方法初探

研究建立了基于岗位的工作责任、安全风险和专业技能等特性指标的核燃料循环设施安全关键岗位识别方法,给出了核燃料循环设施安全关键岗位的定义、识别指标体系、识别原则、识别评价流程和后处理设施应用案例。     

马来盆地油气成藏条件及主控因素分析

马来盆地主要发育早渐新世-早始新世湖相页岩和早中新世-晚中新世河流三角洲相页岩、煤层两套烃源岩。北部烃源岩处于过成熟和生气阶段,中部和南部烃源岩以生油为主。盆地南部和东南部的砂岩储层发育,J组砂岩是马来盆地最重要的储层。挤压背斜是马来盆地最多产的圈闭类型。将马来盆地划分为8个油气成藏组合。渐新世-全新世发育的成藏组合viii,油气资源最为丰富,石油储量占整个盆地的85%,天然气储量占48%;其次是成藏组合iv。成藏控制因素主要为构造反转作用、断层活动等。构造反转作用对烃源岩生油、油气运移、保存等影响很大,是控制马来盆地油气成藏的重要因素之一。     

可视化远程控制（无人）转载系统的研究

针对井下巷道内快速机械化进行采掘物料转载、装料等操作困难的问题，分析了实际工况的要求，设计了一种采用带可视化系统、能够远程操控、现场无人值守工作方式、液压为驱动力的井下巷道转载系统。经过现场验证，该系统解决了大方量物料在井下巷道内转载、装料的问题，从而节约传统的人工岗位，提高了工作效率，增强了工作中的可靠安全性。     

Incorporating the Raft consensus protocol in containers managed by Kubernetes: an evaluation

Replication is a technique widely used to improve the reliability of applications. State machine replication is a special approach, where a set of computers are kept synchronised in the same state despite of failures that could occur in the system. The Raft algorithm can be used to implement a total order delivery protocol, delivering requests at the same order at all replicas, which is fundamental since in this approach all replicas must execute the same sequence of requests to present the same evolution in their states. Raft is easy to understand and implement, when compared to the Paxos algorithm. On the other hand, virtualisation can be seen as a technique that helps the development of reliable applications since it maintains each virtual machine (VM) isolated from the others. Virtualisation in data centres is changing from the traditional VMs to containers. In this context, this paper proposes KRaft, an incorporation of Raft in Kubernetes, a system that manages containers. After an evaluation of performance and resource consumption of KRaft, we found that it presents performance close to Raft executing on physical machines. Moreover, KRaft demands more network transmission while Raft executed in physical machines needs more processing power and memory.     

SLA-driven container consolidation with usage prediction for green cloud computing

Since service level agreement(SLA)is essentially used to maintain reliable quality of service between cloud providers and clients in cloud environment,there has been a growing effort in reducing power consumption while complying with the SLA by maximizing physical machine(PM)-level utilization and load balancing techniques in infrastructure as a service.However,with the recent introduction of container as a service by cloud providers,containers are increasingly popular and will become the major deployment model in the cloud environment and specifically in platform as a service.Therefore,reducing power consumption while complying with the SLA at virtual machine(VM)-level becomes essential.In this context,we exploit a container consolidation scheme with usage prediction to achieve the above objectives.To obtain a reliable characterization of overutilized and underutilized PMs,our scheme jointly exploits the current and predicted CPU utilization based on local history of the considered PMs in the process of the container consolidation.We demonstrate our solution through simulations on real workloads.The experimental results show that the container consolidation scheme with usage prediction reduces the power consumption,number of container migrations,and average number of active VMs while complying with the SLA.     

深部岩巷非对称性变形原因与补强支护技术

针对深部岩巷掘进支护后表现出的非对称变形破坏的现象,采用力学理论分析结合计算机数值模拟的方法对其变形破坏的原因及支护控制进行研究分析。结果表明,巷道周边围岩一侧肩角及对应的底角出现不同程度的应力集中,且这些应力集中点围岩发生塑性变形,是产生非对称变形破坏的关键部位;周边工作面回采后,侧向支承应力拱垂直于覆岩形成应力扰动,造成巷道非对称受力,与模拟结果相同。基于上述研究,提出了"关键变形部位补偿加强支护"的控制对策。工程应用结果表明,采用非对称加强支护形式,可以有效控制巷道非对称变形,巷道围岩稳定性大大提高。