燃煤锅炉除尘专用滤料的开发

介绍机械制造厂燃煤锅炉的烟尘特点,分析滤料失效的原因,提出一套针对该工况的滤料解决方案。介绍针对复杂工况条件所选用的纤维种类以及复合面层原料成分配比的确定,最终选用针刺工艺加工并对该新产品的基本性能进行了测试分析。     

杜84断块超稠油开发中后期稳产对策研究

对杜84断块超稠油生产中后期暴露的主要矛盾，即随着轮次升高，周期吞吐效果变差，井下技术状况日益变差。油层动用不均，汽窜加剧等问题进行了分析。并提出了相应的稳产对策-实施多井整体吞吐，大修复产，调剖等措施。现场应用证明，这些措施基本能够确保杜84断块超稠油中后期的稳产。     

提高84消毒液稳定性的试验

介绍了利用次氯酸钠生产84消毒液的方法。加入稳定剂后，提高了次氯酸钠中有效氯的稳定性。     

YZ-84润滑减阻剂在金刚石钻探、绳索取心中的应用

YZ-84润滑减阻剂是以腐植酸盐为y型原料,用造纸废液为Z型原料,以及其他原料制成。它具有润滑、减阻性能好,清洗能力强,性能稳定,可复配使用,不结垢、不粘管,使用方便,成本低等特点,完全能满足新型小口径金刚石钻机高速钻进、绳索取心的技术要求。     

一种基于六态量子密钥的图像加密算法

鉴于现有图像加密技术的局限性以及量子密钥分配方案的高度安全性,提出一种基于六态量子密钥的图像加密算法。在四态方案(BB84协议)两组共轭基的基础上,引入1对旋转测量基构成六态方案基矢空间;由六态方案产生随机的二进制密钥串,将密钥串与图像数据进行异或运算,对图像数据置换,实现图像的加密。实验结果与安全性分析表明:新算法密钥空间增大,可抵御穷举攻击;明密文相关度低,可有效抵御选择明文攻击;算法对密钥初始值敏感性强,安全性提高。     

基于VB的实时获取GPS数据信息研究与开发

为了解析GPS接收器的数据信息,利用VB6．0编写串口程序,提取和分析GPS语句及其字段值,获得运动或静止的GPS模块的单点（非差分）定位数据语句信息,其中详细分析了GPS语句中的$GPGGA和$GPRMC语句,通过解析这两条语句各字段值,显示数据信息到窗口界面中,GPS数据信息包括基于WGS-84坐标系的经纬度、高度、速度、时间、运动方向等参数。所设计的算法可以应用到利用单片机开发车栽GPS中。实验表明,系统运行稳定、简便、准确、实时性高。     

Superconductivity in the tetragonal phase of La1.9Bi0.1CuO4+δ annealed under high oxygen pressure

We have investigated the relation between the crystal structure and superconductivity in La_1.9Bi_0.1CuO_{4+84m248r7853t705/xxlarge948.gif" alt="delta" align="BASELINE" BORDER="0">} , in which the phase separation observed in La₂CuO_{4+84m248r7853t705/xxlarge948.gif" alt="delta" align="BASELINE" BORDER="0">} is suppressed. A phase diagram in theT–84m248r7853t705/xxlarge948.gif" alt="delta" align="BASELINE" BORDER="0"> plane is given for La_1.9Bi_0.1CuO_{4+84m248r7853t705/xxlarge948.gif" alt="delta" align="BASELINE" BORDER="0">} with excess oxygen. For very small84m248r7853t705/xxlarge948.gif" alt="delta" align="BASELINE" BORDER="0"> values, the crystal structure is orthorhombic, and an orthorhombic-tetragonal phase transition occurs markedly at84m248r7853t705/xxlarge948.gif" alt="delta" align="BASELINE" BORDER="0"> 84m248r7853t705/xxlarge8764.gif" alt="sim" align="MIDDLE" BORDER="0"> 0.03 in the measured temperature range between 13 and 293 K. Superconductivity is observed in the range of 0.04<84m248r7853t705/xxlarge948.gif" alt="delta" align="BASELINE" BORDER="0"><0.11. This is clear evidence thathigh-T _c superconductivity also appears in the tetragonal phase.     

Isochoric p-ρ-T Measurements on 1,1-Difluoroethane (R152a) from 158 to 400 K and 1,1,1-Trifluoroethane (R143a) from 166 to 400 K at Pressures to 35 MPa

The p-84g21/xxlarge961.gif" alt="rgr" align="MIDDLE" BORDER="0">-T relationships have been measured for 1,1-difluoroethane (R152a) and 1,1,1-trifluoroethane (R143a) by an isochoric method with gravimetric determinations of the amount of substance. Temperatures ranged from 158 to 400 K for R152a and from 166 to 400 K for R143a, while pressures were up to 35 MPa. Measurements were conducted on compressed liquid samples. Determinations of saturated liquid densities were made by extrapolating each isochore to the vapor pressure, and determining the temperature and density at the intersection. Published p-84g21/xxlarge961.gif" alt="rgr" align="MIDDLE" BORDER="0">-T data are in good agreement with this study. For the p-84g21/xxlarge961.gif" alt="rgr" align="MIDDLE" BORDER="0">-T apparatus, the uncertainty of the temperature is ±0.03 K, and for pressure it is ±0.01% at p>3 MPa and ±0.05% at p&#60;3 MPa. The principal source of uncertainty is the cell volume (84g21/xxlarge8764.gif" alt="sim" align="MIDDLE" BORDER="0">28.5 cm³), which has a standard uncertainty of ±0.003 cm³. When all components of experimental uncertainty are considered, the expanded relative uncertainty (with a coverage factor k=2 and thus a two-standard deviation estimate) of the density measurements is estimated to be ±0.05%.     

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models

Current extensions of hidden Markov models such as structural, hierarchical, coupled, and others have the power to classify complex and highly organized patterns. However, one of their major limitations is the inability to cope with topology: When applied to a visible observation (VO) sequence, the traditional HMM-based techniques have difficulty predicting the n-dimensional shape formed by the symbols of the VO sequence. To fulfill this need, we propose a novel paradigm named “topological hidden Markov models” (THMMs) that classifies VO sequences by embedding the nodes of an HMM state transition graph in a Euclidean space. This is achieved by modeling the noise embedded in the shape generated by the VO sequence. We cover the first and second level topological HMMs. We describe five basic problems that are assigned to a second level topological hidden Markov model: (1) sequence probability evaluation, (2) statistical decoding, (3) structural decoding, (4) topological decoding, and (5) learning. To show the significance of this research, we have applied the concept of THMMs to: (i) predict the ASCII class assigned to a handwritten numeral, and (ii) map protein primary structures to their 3D folds. The results show that the second level THMMs outperform the SHMMs and the multi-class SVM classifiers significantly.     

量子密码在无线局域网中的安全研究

本文通过对量子密码BB84协议及IEEE802.11i认证协议的分析与讨论,深入研究了802.11i密钥管理机制中的4次握手,利用量子密码安全的优势与IEEE802.11i无线网络相结合,提出量子握手,为无线网络中数据的通信安全提供保障。