以丙烯酸-β-羟乙酯与丙烯酸为原料制备二丙烯酸乙二醇酯

以丙烯酸（AA）与丙烯酸-β-羟基乙酯（HEA）为原料，经酯化反应合成出了二丙烯酸乙二醇酯（EGDA）。以EGDA得率为考核指标，对催化剂种类及用量、阻聚剂种类及用量等合成条件进行了实验研究与优化，发现对于该反应，环己烷是比苯更优的带水剂，反应宜采用减压降温的方法抑制聚合的发生。对比分析表明，采用该方法制备EGDA的得率比直接酯化法、酯交换法更高，且产品的品质更好。     

英国健康教育对我国现行体育（与健康）课程的启示

通过英国与中国基础教育阶段健康教育的比较研究，建议采用英国各课程间的“相关链接”，整合我国各课程资源和各科师资力量，解决我国现阶段各科健康教育内容“分而不统”的现状，弥补我国体育教师健康知识的盲区。     

加纳共和国体育场建筑设计

本文主要介绍加纳共和国Ghana体育场建筑设计情况。     

硬岩掘进机刀盘载荷与撑靴接触界面刚度的耦合关系

在复合地质条件掘进时刀盘载荷与撑靴接触界面的耦合关系严重影响硬岩掘进机(TBM)动态特性.基于并联机构理论研究TBM推进系统的力传递特性,建立刀盘、机械系统和撑靴接触刚度耦合力传递模型,讨论了刀盘在复合地质条件下掘进时刀盘载荷波动与撑靴岩石接触界面刚度之间的耦合关系.结果表明,撑靴接触界面刚度随刀盘载荷增大而非线性增大;复合地层中,刀盘载荷波动,接触界面刚度也呈现相应的波动特性;两侧撑靴接触界面岩石软硬不同时,刀盘载荷均值和波动增加,接触界面刚度均值和波动加大,且较硬一侧增加幅度大于较软一侧减小幅度.     

基于RSM-GA法的薄壁蜡模压蜡过程收缩率建模与优化

基于响应面法(RSM),通过一系列的实验建立了薄壁蜡模壁厚方向的收缩率与压蜡参数之间的数学模型,并对模型的合理性与充分性进行了方差分析,对压蜡过程中工艺参数对尺寸收缩率的影响进行了敏感性分析.为了减小收缩率,基于遗传算法(GA)对工艺参数进行了全局优化.     

面向电子档案大数据的可视化组织与分析

电子档案发展至今已经积累到大数据状态,数据可视化成为解决电子档案管理问题的主要方法。根据以上描述,提出面向电子档案大数据的可视化组织与分析新方法。所提新方法将瓦片模型用于进行电子档案大数据可视化组织工作,借助瓦片图层的金字塔结构与矢量特征建立可视化组织结构。讨论了电子档案大数据编码方法与矢量瓦片可视化绘图流程,提高了可视化组织工作的准确性与效率。依次通过可视化图层捕获、非关系数据存储、数据流处理、已处理数据读取、分析结果显示以及图层更新,进行电子档案大数据可视化分析。实验结果显示,所提新方法的可视化效果优异,大数据读取效率较高。     

白龙浮标数据全球通信系统共享的解决方案

为实现白龙浮标数据按照标准格式全要素参与国际交换,设计了从浮标数据测量、卫星传输、岸站接收、实时数据质量控制、云服务器存储到FTP数据上传中国气象局的数据传输链路;采用WMO推荐的标准BUFR格式对原始数据进行格式转换和重新编报,并按照全球通信系统(GTS)的规则进行封装和编发,实现了白龙浮标气象和海洋观测数据实时向GTS的分发共享,全球用户可以通过GTS收集数据并进行分拣后,按照报头识别并解码得到白龙浮标实时数据。白龙浮标成为我国第一个实时数据共享到GTS的锚系浮标,表明我国锚系浮标数据提供能力达到世界先进水平。     

Codebook design for uplink of densely small cells

The shrinking of cell-size brings significant changes to the wireless uplink of densely small cells （DSCs）. A codebook design is proposed that utilizes the strong line of sight （LOS） chan- nel component existing in a DSC system for uplink of the DSC system. To further improve the uplink performance, the high-rank codebook is designed based on singular value decomposition （SVD） due to the unnecessary preservation of strict constant modulus in the DSC system. And according to the simulation result, the proposed codebook leads to significant sum-rate gain and appreciable block error rate （BLER） performance improvement in the DSC system.     

Reduced K-best sphere decoding algorithm based on minimum route distance and noise variance

This paper focuses on reducing the complexity of K-best sphere decoding （SD） algorithm for the detection of uncoded multi-ple input multiple output （MIMO） systems. The proposed algorithm utilizes the threshold-pruning method to cut nodes with partial Euclidean distances （PEDs） larger than the threshold. Both the known noise value and the unknown noise value are considered to generate the threshold, which is the sum of the two values. The known noise value is the smal est PED of signals in the detected layers. The unknown noise value is generated by the noise power, the quality of service （QoS） and the signal-to-noise ratio （SNR） bound. Simulation results show that by considering both two noise values, the proposed algorithm makes an efficient reduction while the performance drops little.     

Radial acceleration estimation of multiple high maneuvering targets

The acceleration of a high maneuvering target in signal processing is helpful to enhance the performance of the tracker and facilitate the classification of targets. At present, most of the research on acceleration estimation is carried out in cases of a single target with time-frequency analysis methods such as fractional Fourier transform （FRFT）, Hough-ambiguity transform （HAT）, and Wigner-Vil e distribution （WVD）, which need to satisfy enough time duration and sampling theorem. Only one reference proposed a method of acceleration estimation for multiple targets based on modified polynomial phase transform （MPPT） in the lin-ear frequency modulation （LFM） continuous-wave （CW） radar. The method of acceleration estimation for multiple targets in the pulse Doppler （PD） radar has not been reported so far. Compressive sensing （CS） has the advantage of sampling at a low rate and short duration without sacrificing estimation performance. There-fore, this paper proposes a new method of acceleration estimation for multiple maneuvering targets with the unknown number based on CS with pulse Doppler signals. Simulation results validate the effectiveness of the proposed method under several conditions with different duration, measurement numbers, signal to noise ra-tios （SNR）, and regularization parameters, respectively. Simulation results also show that the performance of the proposed method is superior to that of FRFT and HAT in the condition of multiple targets.