基于横纵向联合控制的多目标优化车辆跟驰研究

为解决车辆在拥堵环境中因车速波动较大所带来的跟驰平稳性较差、跟踪无效或不安全等问题,提出了基于车辆模型和深度强化学习的多目标优化跟驰方案。首先基于车辆横纵向动力学建立车辆跟驰模型,然后根据车间距误差、速度误差、横向偏差及相对偏航角等,利用深度确定性策略梯度算法得到跟驰车的加速度和转向角,以更平稳安全地控制跟驰车辆。经NGSIM公开驾驶数据集进行测试与验证,该方案可有效地提升跟驰车辆的稳定、舒适与安全性,对保证交通安全和提升道路通行能力具有重要意义。     

自动信任协商中一种最小信任披露策略

自动信任协商是通过逐渐请求和披露数字证书在两个陌生实体间建立相互信任的方法。当前对自动信任协商协商策略的研究,往往存在很多问题。文章提出了一种基于期望因子的自动信任协商模型,该模型采用MCD策略,通过分析各信任证书的期望因子,当可能的协商存在时,它能披露和请求最小的信任证找到一条成功的协商路径,当协商不可能成功时,尽快的发现并终止它。它能保证在协商的过程中没有不相关的信任证被披露并且不需要暴露双方的访问控制策略,同时通过实验证了明MCD策略是完备的。     

多设备防火墙安全策略冲突分析

防火墙是作为网络中最常用的安全屏障以代理技术、包过滤技术、状态检查技术、网络地址转换技术(NAT)、VPN技术等功能,保证了计算机的安全性。Internet防火墙可以有效防止外部用户非法使用内部网的资源,加强网络与网络间的访问控制,从而阻止防火墙所保护的内部网络的私密数据被外人所窃取或更改。     

有效的IPSec安全策略管理方案*

针对IPSec协议在安全策略管理存在的问题,引入信任管理的思想,介绍了一种基于信任管理的IPSec安全策略管理方案。该方案对分布式网络中的策略可以进行统一的描述,并通过一致性证明能够实现策略的委托授权管理,这样大大提高了IPSec安全策略管理效率和IPSec的灵活性。     

CCUS in a net-zero U.S. power sector: Policy design,rates, and project finance

Carbon capture utilization and storage is an important technology option to rapidly and profoundly decarbonize the power sector, but will not deploy without substantial incentives or regulation. Assessment of U.S. policy options reveals that current incentives only partially close the finance gap and are most sensitive to fuel type and ownership structure. Recent proposed legislation would in some designs attract private investment for many projects, leading to widespread deployment of CCUS in the power sector. Additional constraints and concerns (including technology options and presence of CO₂ infrastructure) could play an important secondary role. This study discusses the specific US incentive policies that can provide investors and lenders with net cash flows that are adequate to attract private capital to CCUS power projects in the US.     

试论我国解放后炼铁技术路线

本文简要回顾建国以来我国炼铁技术路线的演变过程，并展望２１世纪的前景。     

“十一五”我国石油替代和再生能源部分产品发展分析

能源多元化对保障国家能源安全,紧跟世界能源发展趋势,及时转变能源发展战略的意义重大。分类讨论替代燃料,分析其发展态势和需要的支撑条件。     

Rescheduling policies for large-scale task allocation of autonomous straddle carriers under uncertainty at automated container terminals

This paper investigates replanning strategies for container-transportation task allocation of autonomous Straddle Carriers (SC) at automated container terminals. The strategies address the problem of large-scale scheduling in the context of uncertainty (especially uncertainty associated with unexpected events such as the arrival of a new task). Two rescheduling policies–Rescheduling New arrival Jobs (RNJ) policy and Rescheduling Combination of new and unexecuted Jobs (RCJ) policy–are presented and compared for long-term Autonomous SC Scheduling (ASCS) under the uncertainty of new job arrival. The long-term performance of the two rescheduling policies is evaluated using a multi-objective cost function (i.e., the sum of the costs of SC travelling, SC waiting, and delay of finishing high-priority jobs). This evaluation is conducted based on two different ASCS solving algorithms–an exact algorithm (i.e., branch-and-bound with column generation (BBCG) algorithm) and an approximate algorithm (i.e., auction algorithm)–to get the schedule of each short-term planning for the policy. Based on the map of an actual fully-automated container terminal, simulation and comparative results demonstrate the quality advantage of the RCJ policy compared with the RNJ policy for task allocation of autonomous straddle carriers under uncertainty. Long-term testing results also show that although the auction algorithm is much more efficient than the BBCG algorithm for practical applications, it is not effective enough, even when employed by the superior RCJ policy, to achieve high-quality scheduling of autonomous SCs at the container terminals.     

人身意外伤害保险中介代理互联网销售系统的设计与实现

介绍了中国人寿保险股份有限公司湖南省分公司人身意外伤害保险中介代理互联网销售系统的设计与实现。该系统实现了人身意外伤害保险中介代理实时出单,以及与公司短险业务处理系统、单证管理系统的实时对接,具有较强的可扩展性和实用性。     

受端电网区域无功自动控制调控策略研究

要确保受端电压的稳定性,就要保证有足够的无功补偿。静态无功补偿可以有效降低网损,并提供稳定的无功功率。但在电网系统变得越来越复杂的情况下,静态无功补偿已经很难满足需求,这时,动态无功补偿作为一种更为有效的无功补偿方式应运而生了。