重Fermi子体系反常比热的理论研究

利用文献中Ｋｏｎｄｏ格子理论模型，研究了重Ｆｅｒｍｉ子体系比热与温度的反常关系。     

苏北及邻区前志留基础层的综合地球物理研究

在前新生代油气资源选区评价中，前志留面之下未变质沉积地层（简称前志留基础层）的分布具有重要的参考价值。从提高纵向分辨率的处理和反演技术的应用入手，结合约束条件,利用大地电磁测深数据反演,揭示前志留面等界面的埋深和分布；同时应用小波分析技术，从磁场中分解出区域磁异常，反演结晶基底的埋深。通过这2个界面埋深的差异来分析前志留基础层的分布     

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本文介绍了运用地表岩石吸附烃法指示四川浅层油气藏,发现吸附烃异常与油气井产能有良好吻合性,反映了地下裂缝系统和油气聚集的分布。并对实验条件、各种可能的影响因素及一些基础理论问题进行了实验分析和讨论。     

Surface Position-Resolved Thermophysical Properties for Metallic Alloys

Thermophysical properties are collective measures of a material to transport dynamical quantities of physical nature on its surface or through the bulk. As such, the exact nature of couplings between particles in a many-body assembly of building block atoms or molecules sensitively determines their values. The couplings between nearest neighbors are the product of the local elemental composition and the material phase. In this study, thermal cycling of a four-element Wood’s alloy specimen brings out cadmium-rich patches to the top surface of the specimen. An assembly of such patches leads to depth-dependent deviations of elemental composition from that of the bulk. Surface-layer atoms are driven to form a high temperature laser-produced plasma (LPP), and time-resolved spectroscopy of their emissions show the variability of elemental composition over surface positions as well as over depth from the surface. These thermal history-driven composition anomalies contribute to significant variability in the measured values of spectral emissivity and thermal diffusivity.     

AVO 异常检测技术及其应用

本文介绍了一系列简单而实用的 AVO 异常显示、检测和增强的新技术。包括:共炮检距(或相近)显示技术、振幅比值显示技术、滚动显示技术、线性转换显示技术、抛物线转换显示技术和 AVO 增强技术。文中以实例说明了上述各种方法的应用情况。     

影响GPS水准高程的因素及高程拟合方法的探讨

在简单介绍高程系统的基础上，对影响GPS高程精度的几何水准联测误差、卫星分布不对称、星历误差、多路径误差等因素逐一进行了分析，并提出了相应的改进措施。同时，还对高程拟合使用的稳健估计方法进行了探讨。     

Comparison of soil moisture at different depths for drought monitoring based on improved soil moisture anomaly percentage index

To better understand the characteristics and mechanisms of droughts at different drought stages, this study selected the Xiangjiang River Basin in China as the study area, and evaluated soil moisture (SM) at different depths for drought monitoring, through SM data simulated with the variable infiltration capacity (VIC) model. To solve the problem of unreasonable drought/wetness classifications based on the soil moisture anomaly percentage index (SMAPI), an improved soil moisture anomaly percentage index (ISMAPI) was developed by introducing the Box–Cox transformation. The drought/wetness frequency generated by ISMAPI demonstrated preferable spatial comparability in comparison with those from SMAPI. The lag time of ISMAPI relative to the standardized precipitation evapotranspiration index was closely related to soil depth, and was characterized by a fast response in shallow soil layers and a relatively slow response in deep soil layers. SM in shallow soil layers provided a measure for monitoring short-term droughts, whereas SM in deep soil layers provided a better measure for long-term persistent drought events. Furthermore, the occurrence and mitigation time of drought events identified by SM in deep soil layers usually lagged behind that identified by SM in shallow soil layers. Compared with deep SM, SM in shallow soil layers responded faster to meteorological anomalies, thereby resulting in shorter periods of SM persistence in shallow soil layers than in deep soil layers. This can explain the differences of SM at different depths in drought monitoring.     

入侵检测主流技术及发展动态

入侵检测技术是网络安全的主要技术和网络研究的热点,入侵检测方法包括基于数据挖掘、粗糙集、模式识别、支持向量机和人工免疫等主要技术,详细分析了各种检测方法在入侵检测应用中的优缺点。通过回顾研究人员近期的研究成果,提出了该技术的主要发展方向,为进一步研究提供参考。     

基于模糊数据挖掘和遗传算法的网络入侵检测技术

文章通过开发一套新的网络入侵检测系统来证实应用模糊逻辑和遗传算法的数据挖掘技术的有效性;这个系统联合了基于模糊数据挖掘技术的异常检测和基于专家系统的滥用检测,在开发异常检测的部分时,利用模糊数据挖掘技术来从正常的行为存储模式中寻找差异,遗传算法用来调整模糊隶属函数和选择一个合适的特征集合,滥用检测部分用于寻找先前行为描述模式,这种模式很可能预示着入侵,网络的通信量和系统的审计数据被用做两个元件的输入;此系统的系统结构既支持异常检测又支持滥用检测、既适用于个人工作站又可以适用于复杂网络。