柴达木盆地天然气中稀有气体同位素特征

为了确定柴达木盆地勘探新层系，测试并分析了该盆地5个油气田的8个天然气样品的氦、氩同位素比值，探讨了其在大地构造背景、大地热流和气源方面的示踪意义。研究结果如下：①柴达木盆地8个天然气样品³He/⁴He值分布在2.0×10^-8～5.48×10^-8的范围，总体平均为3.7×10^-8，均在10^-8量级，体现了典型的壳源成因氦同位素的特征。②据³He/⁴He计算的大地热流值较低，分布于41.2~48.2 mW/m²之间，平均44.9 mW/m²，低于东部地区大地热流平均值73 mW/m²，表明该盆地具有较稳定的构造背景。③根据天然气⁴⁰Ar/³⁶Ar的年代积累效应，结合烃源岩分布特征推测，柴达木盆地东部凹陷区伊克雅乌汝构造伊深1井天然气应源于上第三系；西部坳陷区尕斯油田尕斯8-6井和尕斯475井天然气应源于下第三系；碱山构造碱1井天然气应源于侏罗系，碱山构造碱2井的天然气应源于上第三系；北缘块断带南八仙油气田仙试1井的天然气应源于侏罗系；南八仙油气田仙试8井和马北构造马北1井的天然气可能主要源于侏罗系。     

Extensions of LDA by PCA mixture model and class-wise features

Linear discriminant analysis (LDA) is a data discrimination technique that seeks transformation to maximize the ratio of the between-class scatter and the within-class scatter. While it has been successfully applied to several applications, it has two limitations, both concerning the underfitting problem. First, it fails to discriminate data with complex distributions since all data in each class are assumed to be distributed in the Gaussian manner. Second, it can lose class-wise information, since it produces only one transformation over the entire range of classes. We propose three extensions of LDA to overcome the above problems. The first extension overcomes the first problem by modelling the within-class scatter using a PCA mixture model that can represent more complex distribution. The second extension overcomes the second problem by taking different transformation for each class in order to provide class-wise features. The third extension combines these two modifications by representing each class in terms of the PCA mixture model and taking different transformation for each mixture component. It is shown that all our proposed extensions of LDA outperform LDA concerning classification errors for synthetic data classification, hand-written digit recognition, and alphabet recognition.     

一种分布式的洋葱路由新机制

洋葱路由技术在公网上提供双向、实时的匿名通信，其面向连接和严格的源路由方式导致效率低、扩展性差。利用分布式的概念，采用分段连接技术思想提出了一种安全、高效的分布式洋葱路由机制(DORS)，给出了DORS路由实现算法，并从方案实现效率、安全性方面对DORS进行了分析。分析结果表明DORS具有良好的扩展性、鲁棒性、简单性和有效性。     

基于分形特征的目标检测算法概述及仿真

对目前比较常用的基于分形特征的目标检测算法进行了概述，并给出了相应的仿真结果。从仿真结果我们看出基于多尺度分形参数的目标检测算法是一种比较精确的算法，但是计算量太大。从计算量和精确度双方面考虑快速的基于分维数和分形拟合误差的目标检测算法是一种不错的算法。     

论科技论文英语摘要的表现形式

论述科技论文中英语摘要的文体风格、时态、语态和基本要求，并结合例句介绍了常用的表现形式，使之简洁、准确和流畅。     

移动IP的分层管理及在CDMA中的实现技术

介绍了移动IP技术 ,指出了传统移动IP技术在无线通信网中的不足 ,接着论述了分层管理的思想。通过对移动IP扩展协议HAWAII的分析 ,最后提出了把HAWAII用于CDMA中进行分层管理的架构     

Distinctiveness and Correlation in Conceptual Structure: Behavioral and Computational Studies.

Patients with category-specific deficits have motivated a range of hypotheses about the structure of the conceptual system. One class of models claims that apparent category dissociations emerge from the internal structure of concepts rather than fractionation of the system into separate substores. This account claims that distinctive properties of concepts in the living domain are vulnerable because of their weak correlation with other features. Given the assumption that mutual activation among correlated properties produces faster activation in the normal system, the authors predicted a disadvantage for the distinctive features of living things for unimpaired adults. Results of a speeded feature verification study supported this prediction, as did a computational simulation in which networks mapped from orthography to semantics. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

浅谈气泡混合轻质土的特点及应用

结合高速公路的发展,分析了气泡混合轻质土的设计机理,详细地介绍了气泡混合轻质土的工程特性,阐述了气泡混合轻质土在公路建设中的应用,最后对气泡混合轻质土的应用前景进行了展望。