一种实用的单片机双CPU设计方案及其应用

针对传统仪表具有的硬件资源不足、速度慢等功能缺陷，提出了一种基于单片机的CPU设计方案，即扩展CPU，直接从主CPU对应的数据显示I／O口上获取数据，这种获取数据的双CPU设计方案中主从CPU之间在功能上相互独立，主CPU不受扩展CPU加入的影响，实现其固有功能。保证了测量数据的准确性；扩展CPU从主CPU中获取数据，不受主CPU的控制，按照现场的需求进行功能扩展。给出了详细的软硬件设计结构。该方案为传统仪表的升级改造提供了一种新思路，实践证明是可行的。     

现代电炉炼钢技术发展趋势

综述国内外电炉炼钢技术发展趋势。就国内外电弧炉技术现状度发展趋势进行了讨论，总结了目前电弧炉发展的短期目标、长期目标。     

Case Study: River Training and Its Effects on Fluvial Processes in the Lower Yellow River, China

More than 50?years’ river training practices in the Lower Yellow River provide valuable experience in river management for flood control in rivers having rapid flow changes, silting beds, and active channel migrations and are of importance in understanding the fluvial processes in regulated rivers with high sediment loads. Planned channel alignments for river training in the Lower Yellow River usually consist of a series of consecutive moderate bends representing the natural tendency of flows. Flow guide works, namely spur dikes, were constructed on the concave banks of the planned bends to protect the channel against scouring and migration by deflecting the current away from bends and further guiding the main flow from one bend to the next one. As a result, well-planned flow guide works can play a crucial role in limiting channel shifting and migration and in establishing a relatively stable channel. Enough flow guide works, on both sides together reaching about 80% of the channel length, may change the transitional and braided channel patterns to a confined meandering pattern.     

锂离子电池正极材料LiNi1/3 Co1/3Mn1/3 O2的合成及电化学性能的研究

以LiOH·H2O与硫酸混合盐(Mn:Ni:Co=1:1:1)为原料,用液相共沉淀法合成前驱体钴镍锰复合氢氧化物,然后与Li2CO3混合,在不同的焙烧条件下合成LiNi1/3Co1/3Mn1/3O2.通过X射线衍射、DSC-TGA、SEM、充放电测试等手段对材料的物理性能、反应机理及电化学性能进行了研究.结果表明,用此方法合成的LiNi1/3Co1/3Mn1/3-O2具有单一的层状岩盐结构.采用500℃预焙烧,再经800℃焙烧的工艺条件所得产品的X衍射峰尖锐,结构规整,表面微粒较大;充放电测试表明,在4.6～2.5V的初始放电容量达到167.9 mAh/g.     

The recovery and recrystallization of cold rolled V-W-Ti alloys

Several V-W-Ti alloys with about 50% reduction in thickness by cold rolling were isochronally annealed at temperatures from 100 to 1100 °C. Hardness was measured after the annealing. By comparison with V4Cr4Ti and V4Ti alloys, the V6WTi alloy was found to begin recovery at a temperature about 100 °C higher, while the full recrystallization temperature was around 900 °C for all of the alloys. Hardness decreased successively above 500 °C in V8W, as is the case in pure V. Impurity induced hardening was observed around 300 °C only in the alloys without Ti. Precipitation and the interaction between interstitial impurities and dislocations were supposed to be the main contributors to the different recovery and recrystallization behaviors of the alloys.     

一种新颖的宽带IPv6接入路由器的研究

论文提出了一种基于“业务流”的宽带IPv6接入路由器的设计。为了克服传统接入技术用户管理难、认证计费不准确、综合业务提供能力差的缺点,提出了以业务流为管理对象的接入路由器的设计,实现用户认证和授权、双向流量统计、双向速率限制、预付费流量限制、访问控制列表和断线检测等功能,集接入汇聚、边缘路由和业务策略功能于一体,并提供QoS保证。     

防失败签字安全性的理论分析

防失败签字是一种十分安全的签字体制,即使攻击者得到签字密钥后也难以伪造签字。论文首先简要介绍了该签字方案的签字过程和验证过程,然后根据这些过程利用矩阵方程等对该签字体制进行理论分析并证明了该体制的安全性。最后得出结论:攻击者得到签字者密钥后成功伪造签字的可能仅为1/q。     

IPv6/IPv4双协议栈以太网接入认证和移动技术

介绍了IPv6/IPv4双协议栈以太网接入路由器及其接入方案具有用户认证、用户管理和详细的数据统计功能,能够同时提供IPv6和IPv4接入,与移动家乡代理服务器配合,可支持移动IP用户,能够满足未来商业化的、有线无线一体化的以太网接入的需求。     

基于Java Servlet方式的等值线生成系统的设计与实现

本文研究了webGIS下基于Servlet方式等值线的绘制方法。在讨论了等值线生成的基本算法，包括离散点的网络化、等值点的确定与搜索、未知点的插值以及使用矩形网格进行边界裁剪等方法的基础上，设计和实现了基于Servlet方式的等值线生成系统。     

Extended latent class models for collaborative recommendation

With the advent of the World Wide Web, providing just-in-time personalized product recommendations to customers now becomes possible. Collaborative recommender systems utilize correlation between customer preference ratings to identify "like-minded" customers and predict their product preference. One factor determining the success of the recommender systems is the prediction accuracy, which in many cases is limited by lacking adequate ratings (the sparsity problem). Recently, the use of latent class model (LCM) has been proposed to alleviate this problem. In this paper, we first study how the LCM can be extended to handle customers and products outside the training set. In addition, we propose the use of a pair of LCMs (called dual latent class model-DLCM), instead of a single LCM, to model customers' likes and dislikes separately for enhancing the prediction accuracy. Experimental results based on the EachMovie dataset show that DLCM outperforms both LCM and the conventional correlation-based method when the available ratings are sparse.