关于差分式放大器输入电阻的研究

差分式放大器在实际应用方面非常广泛,其理论分析方法的深入研究,对生产实践和教学都有重要的意义。采用电路理论分析、差放理论分析、“虚短”理论分析及实验的方法对差分式放大电路进行了研究。     

IFS-BN结合的辐射源威胁评估方法

针对辐射源威胁评估实时性、复杂性和信息不确定性的问题,将直觉模糊集与贝叶斯网络相结合,提出一种基于IFS-BN的辐射源威胁评估方法。IFS-BN算法通过直觉模糊集刻画贝叶斯网络的节点信息,充分描述节点信息的确定性,不确定性以及犹豫度。同时,将直觉模糊集求得的各辐射源先验概率代入贝叶斯网络模型之中,得出后验概率进行威胁等级排序,并在此基础上建立了相应的评估指标体系。仿真分析表明,算法具有较好的可行性与有效性。与经典贝叶斯网络评估方法相比,IFS-BN算法的结果更加客观合理。     

基于GM（1，1）模型的某高校招生人数预测

分析了近年来我国高校招生人数的变化趋势，并利用GM（1，1）模型对某高校2008年的招生人数进行了预测．从而为高校招生人数决策提供了依据。     

基于小波的图像隐藏方法在信息安全中的应用

随着信息时代的到来,互联网和多媒体技术迅猛发展,数字多媒体信息在网上传播越来越便捷,同时也带来了信息安全的隐患问题。小波变换具有良好的时频特性且小波的多分辨分析与人眼视觉特性是一致的。在小波域对图像进行分解,可以根据HVS特性更好地隐藏信息,解决信息安全的问题。     

借助Matlab遗传算法反演火山区压力源参数

首先分析了Mogi模型的经典最小二乘反演由于出现矩阵奇异或接近奇异而发散的局限性,决定采用具有全局高效搜索性和优化计算时不需要求导的遗传算法来反演火山区压力源参数。反演程序调用Matlab7.0 Release14工具箱中的选择、交叉和变异等相关程序。最后应用该程序和长白山天池火山区水准和GPS观测资料联合反演火山区压力源参数,经过比较遗传算法和阻尼最小二乘方法的反演结果,可看出2种方法结果近似,可见此方法方便快捷地实现了目标函数的最小化。     

High precision topographic data on Lop Nor basin's Lake "Great Ear" ? and the timing of its becoming a dry salt lake

High precision elevation measurements using DGPS were carried out along three representative tran- sects for the "Great Ear" area, a dry salt lake within the Lop Nor basin. Results indicate that the Lop Nor basin is only 5.2 m deep and its lowest point occurs at the center of the "Great Ear". In addition, the basin is asymmetric - steeper in the southwest (0.19‰) and gentler in the northeast (0.09‰). Points along the same "Great Ear" ring were found to have an identical elevation value, but different when from different ones (lower towards the center). The spacing of the "Great Ear" rings was found to be closely related with the surface steepness. The closer the "Great Ear" rings are spaced, the steeper the ground surface, and vice versa. These findings support the argument that the "Great Ear" rings are the former shoreline trails left behind by Lop Nor water during the last few episodes of recession towards its total dry up. A comprehensive analysis of the high precision elevation data, historical accounts, aerial and satellite photographs and imagery, and official topographic maps of the study area suggests that the "Great Ear" area in the Lop Nor basin was incorrectly mapped as being covered by a great body of water on the 1963 topographic maps. A re-interpretation of the 1958 aerial photographs and newer remote sensing imagery indicated that the "Great Ear" ring structure was already in place in 1958 and it continued to appear on the subsequent remote sensing data without any major changes. It is estimated that lake water in the "Great Ear" area of the Lop Nor basin disappeared between the late 1930s and early 1940s.     

（BN）n及SiB（n-1）Nn（n=2-11）稳定结构的研究

利用遗传算法及Gastreich提出的经验势函数,研究了（BN）n（n=2-11）和SiBn-1Nn（n=2-11）团簇的可能稳定结构,对能量较低的异构体在HF/STO-3G水平进行优化,得到了（BN）n（n=2-11）和SiBn-1Nn（n=2-11）团簇稳定结构单环及线状结构,并进一步分析了单环的结构特征及相对稳定性。     

序列模式挖掘的两种典型算法及比较

序列模式挖掘是数据挖掘的重要分支,GSP算法与PSP算法是序列模式挖掘中的两种典型算法。本文介绍了这两种算法并对其进行了分析与比较。     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

工程中常用的几种氧化沟及其发展

简要介绍了当今工程中常用的几种氧化沟技术的特点及其发展历程,主要包括Carrousel氧化沟、Orbal氧化沟、交替式氧化沟以及一体化氧化沟。