B/S系统若干关键技术研究及其在《工程制图》网络课程中的应用

介绍了实现B/S系统的三种结构形式;除了集成式的网站开发技术和ADO/ASP技术外,提出了虚拟现实技术和多媒体数据库技术的解决方案,并在《工程制图》网络课程中得到了很好的应用。     

任意偏移矢量分布的N维CMAC映射算法及其应用

给出任意偏移矢量分布的Ｎ维ＣＭＡＣ映射算法，并将其成功地应用于Ｐａｒｋｓ和Ｍｉｌｉｔｚｅｒ给出的改进偏移矢量分布的多变量ＣＭＡＣ，进而获得高效的Ｎ维ＣＭＡＣ算法，给出了Ｐａｒｋｓ和Ｍｉｌｉｔｚｅｒ表与本文算法的转换原则和算法。     

直廓环面蜗杆螺旋齿面的数形解析

对直廓环面蜗杆螺旋齿面的生成原理进行分析，建立数学表达式，为实现计算机输出创造条件。     

采用现场总线等技术的综合网络建设

首先对当前企业综合自动化的发展方向和具代表性的过程控制系统进行了简要的介绍，而后着重讨论了工业控制计算机技术、数据通信及网络技术的应用情况．最后提出了当前构建企业综合信息网的可行解决方案。     

超快速冷却装置及其在新品种开发中的应用

介绍了一种国外新近开发成功的板带钢超快速冷却装置(UFC)，该装置用带有压力的水从密布的小孔中喷向轧件表面，用于热轧带钢其冷却速度可达300C／s以上，其实现超快速冷却的机理主要是能够大面积的击破冷却水与轧件间的汽膜。介绍了UFC在生产线上布置的几种方式和典型应用例。对应用UFC开发超级钢、IF钢铁素体区热轧，双相钢、TRIR钢等高附加值产品作了介绍。     

粮食水分在线检测控制系统

介绍了一种用于颗粒状粮食水分在线检测控制系统。该系统将圆柱型结构的粮食水分检测传感器置于干燥设备的出口、入口处，粮食水分变化导致传感器电容量变化，经过精密的信号采集、转换与处理，完成粮食水分的在线实时检测。该传感器还借助微处理器对测量信号的非线性与温度漂移进行了数字化的修正和补偿。反馈信号输出控制变频器，从而实现控制排粮机构运行转速。根据需要，该系统可以增加打印干燥机的多个工作参量，实现对料位及热风温度的控制等辅助功能以及自动报警功能。     

Synchronization of stochastic Markovian jump neural networks with reaction-diffusion terms

In this paper, we address the synchronization problem of a class of stochastic Markovian jump reaction-diffusion neural networks with Dirichlet boundary conditions. By using the Lyapunov-Krasovskii functional method, feedback control approach, and stochastic analysis technique, the sufficient synchronization conditions including the information of reaction-diffusion terms are obtained, which are expressed as linear matrix inequalities (LMIs). Finally, the effectiveness of the developed methods is shown by simulation examples.     

An investigation of Eu-doped CaAlSiN3 fabricated by an alloy-nitridation method

We have synthesized CaAlSiN₃:Eu phosphors through an alloy-nitridation method with stable alloys as main starting materials, and investigated their crystal structures and photoluminescence properties in three aspects as below: (1) different Eu concentrations; (2) different Eu dopants; (3) different Al/Si molar ratios. The lattice volume calculated by using Rietveld refinement on the base of XRD analysis, decreases with oxygen incorporating, increases with the Al/Si ratios, and shows a limited expansion with the raise of Eu concentrations in CaAlSiN₃:Eu crystal lattice. The concentration quenching and the shifts of emission bands are investigated and discussed in details. The different lattice volumes deriving from corresponding compositions have an important effect on photoluminescence properties. This work provides some methods to tune the emission wavelengths of CaAlSiN₃:Eu phosphors.     

Document structure model for survey generation using neural network

Survey generation aims to generate a summary from a scientific topic based on related papers. The structure of papers deeply influences the generative process of survey, especially the relationships between sentence and sentence, paragraph and paragraph. In principle, the structure of paper can influence the quality of the summary. Therefore, we employ the structure of paper to leverage contextual information among sentences in paragraphs to generate a survey for documents. In particular, we present a neural document structure model for survey generation.We take paragraphs as units, and model sentences in paragraphs, we then employ a hierarchical model to learn structure among sentences, which can be used to select important and informative sentences to generate survey. We evaluate our model on scientific document data set. The experimental results show that our model is effective, and the generated survey is informative and readable.     

Effect of wear behaviour of single mono- and poly-crystalline cBN grains on the grinding performance of Inconel 718

Polycrystalline cubic boron nitride (PcBN) grains were fabricated by combining the monocrystalline cBN (McBN) nanoparticles and inter-abrasive ceramic materials via high temperature and pressure techniques. Grinding performance of Inconel 718 with single McBN and PcBN grains, including grinding force, force ratio, ground surface quality was investigated. Characterization of the wear morphology evolution of worn grains and scratches of PcBN grains were discussed. In addition, the fracture behaviour of PcBN grains was evaluated as the varying of the undeformed chip thickness. Results show that PcBN grains have the smaller grinding force and force ratio, more stable grain wear rate in comparison to McBN grains. Additionally, the better wear-resistance and grinding performance owing to its multi-cutting edges structure in terms of the grain wear morphology evolution were achieved for PcBN grains regardless of the undeformed chip thickness.