全采样气相色谱法分析室内挥发生有害有机物

研究了全采样气相色谱法分析室内挥发性有机物方法.该方法采用SummA罐采集样品,自动进样器进样,三级冷阱预浓缩样品,气相色谱(GC)柱分离,氢火焰离子化检测器(FID)检测,并采用自主研制的混合标准气体定性定量分析,从而得到各室内挥发性有害有机物及总挥发性有机物(TVOC)浓度.通过考察方法的检出限、加标回收率、线性范围、准确度、精密度并与国家标准方法比较,证实该方法特性不仅满足方法学要求,而且比国家标准方法优异,适合快速检测室内挥发性有害有机物.     

丙三醇缩水甘油醚改性脱细胞猪真皮基质的研究

研究了丙三醇缩水甘油醚（GPE）改性脱细胞猪真皮基质材料（pADM）的基本性能．通过考察不同温度、pH值、用量和反应时间对改性材料（GPE-pADM）性能的影响，初步探讨了改性条件与改性材料性能之间的关系．实验结果表明：反应温度37～42℃，pH值10．0～10．5，反应时间48-72h，用量8％时综合性能较好．交联后材料的接触角明显降低，且随着GPE用量的增加，接触角降低程度增大，表明交联提高了材料的亲水性能．     

最小二乘向量机在说话人识别中的应用

说话人识别是语音识别的一种，是当前的研究热点之一。而基于统计学习理论的支持向量机（SVM）方法是一种新的机器学习算法，已成为机器学习研究的热点。讨论了一种改进的SVM即最小二乘向量机（LS-SVM）的方法进行说话人识别研究。研究表明，基于LS—SVM的说话人识别比传统的SVM说话人识别计算复杂度小、效率更高、对说话人识别有很强的适应性。     

CYBERNETICAL ACTIONS AND MARKOV PROCESSES

A goal-oriented action that is performed by a biocybernctical system, with minimum losses, subject to some constraints, is termed cybernetical action. Actions of this kind (often related to survival, e.g., defense or predatory actions) are widespread in nature. A mathematical model of these actions, based on a special kind of operators, termed message operators (or optimization operators), is investigated in connection with the customary transition matrices used in the theory of Markov processes. It is shown that, under certain conditions, transition matrices may be regarded as a special kind of message operators; hence, most of the properties of Markov chains can be expressed in terms of the latter ones. Accordingly, a new class of “stochastic processes with optimization” is defined, which enables Markovian as well as non-Markovian evolutionary processes to be modeled in a general way. Furthermore, by taking into account some recovery phenomena (related to biological rhythms) a new model of sequential actions is suggested. It is shown that the corresponding stochastic process with optimization always involves adaptive learning (that is, the action is stored in the memory of the system, in its optimal form). Thus, by including in the mathematical model the fundamental “optimization principle” which is inherent to the nature of any biological system, a new tool is obtained, permitting to investigate some unknown aspects of the biocybernctical systems in a more general manner as compared with the customary means.     

等离子体处理对CFRP筒状件内壁活化效果的影响∗

为解决碳纤维增强树脂基复合材料（CFRP）筒状件内壁表面化学惰性较高导致与金属涂层结合强度差的问题，采用射频辉光放电对其内表面进行活化处理来提高其表面活性。通过接触角测试和红外光谱分析，探究等离子体处理气压、射频电源功率、处理时间和离子种类对活化效果的影响。结果表明，经射频辉光放电等离子体处理后 CFRP 筒状件内壁表面等离子体活化效果明显，表面能显著提高。其他工艺参数相同情况下，活化效果随气压增大先提升后降低，随射频电源功率和处理时间的增大而提高，以氧等离子体活化效果最佳。其中，在处理气压 0.5 Pa、射频电源功率 500 W、处理时间 60 min、氧等离子体条件下效果最为显著，水和二碘甲烷的接触角分别由 71.29°、49.36°降低到 4.93°、5.39°，表面能从 38.85 mJ·m^?2 提升到 74.73 mJ·m^?2 。通过红外光谱分析，经等离子体处理后的 CFRP 中 C-H 和 C≡C 等非活性键被打断，带有 C=O 的醛基和羧基活性基团增多，浸润性大幅提高。活化后的 CFRP 基体与金属薄膜的膜基结合力由不足 0.1 MPa 提升至 0.49 MPa。研究通过射频辉光放电对 CFRP 筒状件内壁表面进行活化处理，为制备高结合强度的金属涂层打下基础。     

基于神经网络的网络验证码识别的研究

本文首先介绍了神经网络的基本思想，提出了一种基于神经网络的网络验证码的识别方法，并利用开源的神经网络包JOONE用JAVA技术实现了验证码识别软件.最后通过训练样本对其进行了实验分析,取得了较高的识别率.     

Manufacturing control of a serial system with binomial yields, multiple production runs, and non-rigid demand: a decomposition approach

In this paper, the problem of ordering a series of production runs to meet a single make-to-order demand, where the various stages in the production process have binomial yields, is addressed. The use of additional procurement of part-finished material or reworking defective material previously made to supplement yield at any stage is considered. The costs of this and manufacture, disposal of surplus or shortage are assumed to be proportional to the numbers involved. Set-up costs may or may not be incurred. The treatment follows from, and builds on, a previous single-run analytical result by developing an approximation in which the problem is decomposed into a series of single runs.     

彭水电站超大型压力钢管制造安装技术

彭水电站引水隧洞压力钢管最大直径14．0m，最大管节重量46t，大直径、大吨位及复杂的施工环境给压力钢管制作、安装带来了很大施工难度。文章结合工程施工实际，论述了彭水电站超大型压力钢管制作、安装的主要施工程序及措施，以便类似工程参考。