以二甲醚为还原剂的氮氧化物存储还原试验研究

试验研究了以Pt/Co-BaO/γ^- Al₂O₃为催化剂、二甲醚（DME）为还原剂的NOx储存还原（NSR）性能,以及还原时间和温度对NSR的影响规律,并通过程序升温脱附和程序升温表面反应分析了DME对其存储NOx热稳定性的影响.结果表明,在等温DME-NSR循环过程中,NOx的转化效率保持在60%~70%以上;DME能够促进催化剂中硝酸盐的分解和NOx的脱附,并还原NOx.     

A new improvement of TCP based on adaptive filtering

On the basis of studying the standard TCP retransmission mechanism,this paper proposes a method to adopt the theory of adaptive filtering in the field for the estimation of round trip time (RTT).Then t...     

双核金属钌羰基-亚硝基配位化合物Ru_2（NO）_2（CO）_n（n=8,7,6,5）的量子化学计算

采用BP86和MPW1PW91两种密度泛函理论方法对双核金属钌羰基-亚硝基配位化合物Ru2（NO）2（CO）n（n=8,7,6,5）进行了量子化学理论计算,优化后得到了19个单态和三态异构体,讨论了它们的结构和键的性质。得到的Ru2（NO）2（CO）8,Ru2（NO）2（CO）7,Ru2（NO）2（CO）6和Ru2（NO）2（CO）5的基态分别是C2v,C1,C2v和C1构型的单态。将Ru2（NO）2（CO）n（n=7,6,5）与同族铁的配合物Fe2（NO）2（CO）n（n=7,6,5）进行比较,发现二者的稳定构型特点不一致。     

具有振动位势的二阶非线性常微分方程的区间强迫振动判别准则

给出具有振动位势的二阶非线性常微分方程(r(t)y′(t))′ p(t)y′(t) Q(t,y(t))=g(t)区间强迫振动的判别准则和实例。     

考虑风电反调峰特性的储能调峰优化策略

为解决风力发电并网的不确定性导致的电力系统调峰困难问题,提高新能源综合利用率,在深入分析储能调峰原理的基础上提出一种考虑风电调峰特性的储能调峰优化策略.首先介绍风电反调峰特性影响,根据调峰特性确定最低移峰功率和最高填谷功率,接着再综合考虑系统功率平衡约束、储能系统约束和电源测约束的基础上增加调峰可靠性约束,建立以负荷方差最小为目标的系统优化模型,最后构建计及调峰可靠性的评价指标.以某电网阶段时间内负荷数据为基础进行算例分析,对比恒功率策略,仿真结果验证本文方法调峰效果更优.     

裂缝稠油油藏流体流动裂缝开度界限初步探索

裂缝稠油油藏中,裂缝储量易开发,基质储量难开发。然而,划分裂缝和基质的开度界限及基质中微裂缝可流动开度下限均难以确定。针对A裂缝稠油油藏,基于渗流理论和微观机理实验,初步探索得到原油"可动"开度绝对下限3μm左右、原油"可动"开度技术下限10μm左右、原油"易动"开度绝对下限5μm左右、原油"易动"开度技术下限15μm左右、水驱油"最佳"开度界限40~50μm等5个A裂缝稠油油藏开度界限。可动开度下限可指导计算有效储量,易动开度下限可指导划分裂缝基质储量,水驱最佳开度界限可指导井位部署。研究思路与方法,对同类油藏开发研究具备一定借鉴意义。     

美国极轨气象卫星的转型探索

气象卫星是重要的国家基础性、战略性空间系统.美国极轨气象卫星体系通过融合美国国防部、美国海洋和大气管理局及欧洲气象卫星组织各自的极轨气象卫星系统,实现了全球全天时的持续覆盖能力.为获取高时效性全球范围气象卫星资料,近年来美国一直在探索气象卫星的转型发展.在梳理美国极轨气象卫星发展历程的基础上,分析了其多种转型探索,包括对美国国家海洋和大气管理局开展的新一代卫星架构研究项目,试点采购商业气象卫星数据,开展气象小卫星关键技术及载荷研究等.     

Bidirectional Feedback Dynamic Particle Filter with Big Data for the Particle Degeneracy Problem

Particle Filter(PF) is a data assimilation method to solve recursive state estimation problem which does not depend on the assumption of Gaussian noise, and is able to be applied for various systems even with non-linear and non-Gaussian noise. However, while applying PF in dynamic systems, PF undergoes particle degeneracy,sample impoverishment, and problems of high computational complexity. Rapidly developing sensing technologies are providing highly convenient availability of real-time big traffic data from the system under study like never before. Moreover, some sensors can even receive control commands to adjust their monitoring parameters. To address these problems, a bidirectional dynamic data-driven improvement framework for PF(B3 DPF) is proposed.The B3 DPF enhances feedback between the simulation model and the big traffic data collected by the sensors,which means the execution strategies(sensor data management, parameters used in the weight computation,resampling) of B3 DPF can be optimized based on the simulation results and the types and dimensions of traffic data injected into B3 DPF can be adjusted dynamically. The first experiment indicates that the B3 DPF overcomes particle degeneracy and sample impoverishment problems and accurately estimates the state at a faster speed than the normal PF. More importantly, the new method has higher accuracy for multidimensional random systems.In the rest of experiments, the proposed framework is applied to estimate the traffic state on a real road network and obtains satisfactory results. More experiments can be designed to validate the universal properties of B3 DPF.     

Variable Selection via Generalized SELO-Penalized Cox Regression Models

The seamless-L_0(SELO) penalty is a smooth function that very closely resembles the L_0 penalty, which has been demonstrated theoretically and practically to be effective in nonconvex penalization for variable selection. In this paper, the authors first generalize the SELO penalty to a class of penalties retaining good features of SELO, and then develop variable selection and parameter estimation in Cox models using the proposed generalized SELO(GSELO) penalized log partial likelihood(PPL) approach. The authors show that the GSELO-PPL procedure possesses the oracle property with a diverging number of predictors under certain mild, interpretable regularity conditions. The entire path of GSELO-PPL estimates can be efficiently computed through a smoothing quasi-Newton(SQN) with continuation algorithm. The authors propose a consistent modified BIC(MBIC) tuning parameter selector for GSELO-PPL, and show that under some regularity conditions, the GSELOPPL-MBIC procedure consistently identifies the true model. Simulation studies and real data analysis are conducted to evaluate the finite sample performance of the proposed method.     

美国应急管理社会心理服务体系及启示

 新型冠状病毒肺炎疫情防控工作凸显健全国家公共卫生应急管理体系的迫切性，应急管理体系建设中社会心理服务体系建设至关重要。介绍了美国应急管理心理服务体系的总体框架、应急响应机制、队伍建设及支撑平台，分析了其主要经验和存在问题，结合中国社会心理服务体系建设现状，对中国应急管理社会心理服务体系建设提出4点建议：建设应急管理社会心理服务信息系统、分类分层组建应急管理社会心理服务队伍、开展应急管理心理服务学科建设及完善应急管理社会心理服务法律体系。