常用激光介质膜的斜入射性能

本文给出了多层介质膜反射率与入射角的关系的计算机程序，并列出了部份常用激光膜片反射率-角度曲线。     

国产砂石设备在巴基斯坦高摩赞RCC大坝中的应用

巴基斯坦高摩赞水利枢纽综合项目大坝为曲线重力坝,采用RCC筑坝技术建筑。其砂石骨料为人工与天然混用,工艺设计新颖。砂石料生产设备采用国产设备,配置优化,系统采用集装箱式控制室,实现了系统自动化和集中控制。文章探讨了国产设备在巴基斯坦水电工程中的应用。     

Orign软件在分析化学实验中数据库的建立及应用

介绍了利用Orign7.0在分析化学实验数据处理中的优势,建立分析化学实验的数据库,绘制学生实验的质量控制图,对学生的实验进行有效的监控;对异常数据进行合理的取舍;核实学生实验结果进行形成性评价。累积存储教学资料,提高实验效率和实验教学质量。     

Homophily of Network Ties and Bonding and Bridging Social Capital in Computer-Mediated Distributed Teams

This research studied homophily of network ties in distributed teams in both task-related instrumental networks and non-task related expressive networks. Homophily of network ties was examined in terms of demographic and social characteristics, including gender, race, geographic location, and group assignment. Social network data were collected from 32 students enrolled in a distance learning class from two universities. MQAP regression analysis showed that homophily in gender and in race had no significant impact on the development of either instrumental or expressive ties. In instrumental networks, both homophily in group assignment and in location had significant impact on the development of network ties. In expressive networks, homophily in location had significant impact on the development of network ties, but the impact of homophily in group membership was only marginally significant. Further analysis of bonding ties with people of the same group and bridging ties with people from different groups showed that bonding social capital can exert significant influence on performance.     

胜科1井钻井事故的预防与处理

胜科1井设计井深7 000 m,完钻井深7 026 m。在该井钻井过程中,针对上部大尺寸钻头破岩效率低、大井眼井壁稳定性差、大段盐膏层、膏岩层的塑性蠕变和塑性流动造成井眼复杂、超深井高温高压给钻井液性能的控制和水泥浆调控等带来的一系列技术难题,制定了一整套预防井下事故和复杂情况的技术措施,从而确保了该井的钻探成功。该井在钻井过程发生了2次断钻具事故和1次卡钻事故,根据超深井的特点,采取了较为稳妥的处理措施,同时,有针对性地研制了高效铣环和PDC钻头专用打捞器,3次事故处理均获得了成功,共耗时38.5 d。详细介绍了该井所采取的预防和处理钻井事故的技术措施,可为其他超深井的钻井施工提供一定的借鉴。     

Multirobot-Based Nanoassembly Planning with Automated Path Generation

In this paper, a novel approach of automated multirobot nanoassembly planning is presented. This approach uses an improved self-organizing map to coordinate assembly tasks of nanorobots while generating optimized motion paths at run time with a modified shunting neural network. It is capable of synchronizing multiple nanorobots working simultaneously and efficiently on the assembly of swarms of objects in the presence of obstacles and environmental uncertainty. Operation of the presented approach is demonstrated with experiments at the end of the paper.     

浅谈采用短木桩加土工网碎石垫层处理挡墙软基

结合工程实例，对采用传统的短木桩加新兴的土工合成材料——土工网及碎石垫层构成复合基础，处理河岸挡墙软基进行探讨，该方法在软土层厚度不超过4．0m的条件下，技术可靠，施工简单，工期短，造价低。     

动力配煤高温复合固硫剂研究

分析了高温复合固硫剂各成分的作用，实验研究了在不同配比的燃烧试验下，各成分对燃煤着火和燃烧以及对炉渣固硫的影响，得出了该煤种高温复合固硫剂的最佳配方。     

针对混合应用业务的ARQ改进方案

在高速无线通信中,自动请求重传(ARQ)是链路层不可缺少的技术,它通过重传向上层屏蔽无线链路上包的丢失。随着无线网络的发展,无线传输速率不断提高,应用的业务类型也越来越广泛。目前,众多ARQ技术的研究都集中在如何提高该技术的确认效率,以适应更高的传输速率,但鲜有研究着手于如何使ARQ能够更好地应用于混合业务环境。针对混合业务环境下的ARQ改进提出了2种方案,并给出其中1种在实际应用中的改善效果。     

Narrow-band interference rejection in DS/CDMA systems using adaptive (QRD-LSL)-based nonlinear ACM interpolators

An Mth order adaptive lattice filter automatically generates all M of the outputs that would be provided by M separate transversal filters. This feature may effectively suppress narrow-band interference (NBI) of either unknown or time-varying bandwidth (or number of frequency bands) in direct-sequence code-division multiple access systems for which the order of the interference rejection filter that achieves the optimal performance is unknown or constantly changing. Moreover, a lattice filter may significantly outperform its transversal counterpart in complex jamming environments in which the adaptive lattice filter must suppress multiple jammers, since each stage of a lattice filter adapts to suppress an orthogonal component of the NBI. The paper develops a computationally efficient and numerically stable adaptive QR-decomposition-based least squares lattice (QRD-LSL)-based nonlinear approximate conditional mean interpolator to suppress NBI effectively. Simulation results demonstrate that both the signal-to-noise ratio improvement and the convergence rate achieved by the proposed interpolators outperform those of other existing prediction-based techniques.