广义耦合KGS方程的整体强解

研究了广义耦合KGS方程的初边值问题和Cauchy问题。利用非线性项在分数次Besov空间中的估计及抽象发展方程的结果,在一般的条件下,获得了该问题整体强解的存在唯一性定理。     

孤东油田上第三系馆陶组上段微量元素的分布特征及沉积环境分析

通过对孤东油田馆上段四日进109块岩样中的Ca,Mg,Sr,Cr.Cu,Fe,Mn,V,Ni等九种元素的分析,得出了孤东油田馆陶组上段微量元素含量及其比值与氧化还原、湖盆盐度、古气候等沉积条件的关系,从而提供了利用微量元素及其比值的变化分析沉积环境,划分微相类型及判断古盐度高低的一种新方法.     

鲤鱼抗寒良种的培育研究

通过黑龙江野鲤、荷包红鲤、散鳞镜鲤进行自交、杂交手段选育到F4．再应用雌核发育等先进育种技术手段选育到F7．培育成一个性状稳定,生长速度快25％,越冬成活率达95％以上,适合北方高寒地区特点和养殖条件,遗传性状和生产性能稳定的鲤鱼新品种．     

pH测量与控制技术新进展

分析了ｐＨ值测量与控制技术的新进展，介绍了几种新型的ｐＨ测控技术的基本原理及应用。     

Body Fuzzy Pattern Recognition in Woman Basic Block Design

Basic block is the foundation of clothing construction design because it is the media between body and clothes and the fitness of clothes should be based on the accuracy of basic block. That needs us to recognize body not to record it. This paper reports the Algorithm of woman body fuzzy pattern recognition. It is organized in three sections: (i) extracting woman body feature; (ii) establishing membership functions of feature indexes; (iii) presenting an Algorithm for woman body fuzzy pattern recognition by example.     

全屏幕编辑器解析

本文提出一种实现全屏幕编辑的方法，它用Ｆｏｘｂａｓｅ语言程序构成。该程序简单明了，使用方便，可植入他人的程序之中     

A new model for analyzing laminar forced convective enhanced heat transfer in latent functionally thermal fluid

In this paper, a new model to analyze laminar forced convective enhanced heat transfer in latent functionally thermal fluid is developed. The main characteristics of the model are- i) a new formula of the specific heat at constant pressure is used; ii ) a real heat transfer process is considered; that is, heat transfer processes occur not only between working fluid and microcapsules, but also between the mixture and tube wall; iii) the new method, which combines the newly developed axisymmetrical dual reciprocity boundary element method (DRBEM) with finite difference method (FDM), is used to solve the control equations of this problem. The new model is validated by experimental data. Some new physical results on the variational characteristics of the specific heat at constant pressure with space and time during phase-change process, the time-marching history of the phase-change interfaces and so on are obtained. Several main physical factors that affect enhanced heat transfer in latent functionally thermal fluid are numerically analyzed. Some new understandings for the mechanism of enhanced heat transfer in the functionally fluid are obtained.     

Self-assembled structure of alkyloxy substituted benzoic acid methyl ester on HOPG：An STM study

Self-assembled structures of 3,4,5-tris-dodecy-loxy benzoic acid methyl ester (E12), 3,4,5-tris-tetradecy-loxy-benzoic acid methyl ester (E14) and their mixture (E12/E14) have been studied on HOPG by scanning tunneling microscopy (STM). Dimer-like patterns induced by dipole-dipole interaction are observed in E12 and E14 monolayers. The molecules form close-packed rows and interdigitate with the alkyl chains in adjacent molecules. The structural differences are proposed to be from the different length of substituted alkyl chains. Owing to similar adsorption energy, phase separation is observed in the E12 and E14 mixed adlayer with different domains.     

Intrusion detection using rough set classification

Recently machine learning-based intrusion detection approaches have been subjected to extensive researches because they can detect both misuse and anomaly. In this paper, rough set classification (RSC), a modern learning algorithm, is used to rank the features extracted for detecting intrusions and generate intrusion detection models. Feature ranking is a very critical step when building the model. RSC performs feature ranking before generating rules, and converts the feature ranking to minimal hitting set problem addressed by using genetic algorithm (GA). This is done in classical approaches using Support Vector Machine (SVM) by executing many iterations, each of which removes one useless feature. Compared with those methods, our method can avoid many iterations. In addition, a hybrid genetic algorithm is proposed to increase the convergence speed and decrease the training time of RSC. The models generated by RSC take the form of "IF-THEN" rules, which have the advantage of explication. Tests and comparison of RSC with SVM on DARPA benchmark data showed that for Probe and DoS attacks both RSC and SVM yielded highly accurate results (greater than 99% accuracy on testing set).