新型电潜螺杆泵减速器齿轮干涉问题的研究

为保证齿轮设计的正确性，介绍了新型电潜螺杆泵减速器齿轮传动中存在的各种干涉现象及产生的原因和避免的条件，通过分析计算给出了避免各种干涉的变位系数的取值范围和措施。     

基于ARX模型的压电智能结构振动预测控制

采用预测控制法对压电智能结构的振动主动控制进行了实验研究，通过实验方法建立了系统的ARX模型，并在此基础上设计了预测控制器对结构进行振动主动控制。实验结果验证了该方法在压电智能结构振动主动控制中的可行性和有效性。     

双功率谱干涉实现图像识别

提出一种新的图像识别方法 ,直接利用输入图像和参考图像的联合变换相关功率谱进行双功率谱干涉 ,不需要特殊的光学元件 ,也不需要对功率谱进行调制和改造。实验表明 ,相同图像的双功率谱干涉出现明显的条纹 ,而不同图像则几乎不出现干涉条纹。     

有扰对称信道平均信息量的计算

照相手机让诺基亚抢了风头，这真是亚洲人的失策。在日本和韩国，内置摄像头的手机早就不是什么值得炫耀的东西了。不过日本人的动作还是很快的，GD88和N8一副后来居上的架势，让人不敢小瞧。     

微机控制材料试验机的开扰源分析及抗干扰措施

分析和探讨了微机控制材料试验机所受干扰的来源和通道，并采用屏蔽和隔离等一系列措施抑制各种干扰,以达到提高微机控制试验机系统试验结果的可靠性和精确度。     

轴快流CO2激光器气体压力控制

激光切割对激光功率模式、功率密度和功率稳定性要求很高,采用轴快流CO2激光器时,控制工作气体压力工作在最佳状态并保持其恒定是激光器输出连续、稳定功率的必要条件和关键技术之一。在深入研究激光器工作原理和影响激光输出功率因素的基础上,采用带积分分离的智能PID控制算法对工作气体压力进行调节。该过程控制算法简单实用,可以有效地提高气体压力控制精度,改善功率控制精度和稳定性,并用实验加以验证。     

新一代智能城域光网络

本提出了一种标准化的光控制平面。阐明了开了用于光传输网的控制平面所遇到的选择与挑战。光控制平面被分解成邻居发现、服务发现、连接控制和拓扑、资源发现等几个基本的过程。不同的网络组织和分割导致了几个不同的自动配置模型：软性持久链路模型、用户接口模型和对等模型。这是构成以IP为中心的光传输网的控制和管理基础。同时也介绍了基于SDH光交换的新一代CIENA公司智能光网络，它具有大容量光交换能力和网络拓扑结构自动发现、端对端电路配置、带宽动态分配等功能及特点，将大大提高数据、电路业务的服务质量，新一代智能光网络是干线和城域网络交换传输最佳的选择。     

Spray forming technology for military applications

Over the past five years, the Annapolis Detachment, Carderock Division, Naval Surface Warfare Center (formerly David Taylor Research Center) has established a state- of- the- art spray forming facility for the study and exploitation of this near net shape manufacturing process. Spray forming is a single step gas atomization/deposition process which yields ferrous and nonferrous, near final shape, near fully dense preforms that has proven to be a viable and cost effective alternative to conventional metalworking technology for the production of material preforms with properties surpassing those of their cast and wrought counterparts. Current programs at Carderock Divison Naval Surface Warfare Center are aimed at optimization of the process, certification of the spray formed products and industrialization of the technology.     

抑制CATV系统重影干扰的实践

本文仅从实践的角度探讨分析影响图像质量的三种因素,并提出了一些具体的抑制方法。     

Learning and Revising User Profiles: The Identification of Interesting Web Sites

We discuss algorithms for learning and revising user profiles that can determine which World Wide Web sites on a given topic would be interesting to a user. We describe the use of a naive Bayesian classifier for this task, and demonstrate that it can incrementally learn profiles from user feedback on the interestingness of Web sites. Furthermore, the Bayesian classifier may easily be extended to revise user provided profiles. In an experimental evaluation we compare the Bayesian classifier to computationally more intensive alternatives, and show that it performs at least as well as these approaches throughout a range of different domains. In addition, we empirically analyze the effects of providing the classifier with background knowledge in form of user defined profiles and examine the use of lexical knowledge for feature selection. We find that both approaches can substantially increase the prediction accuracy.