用于雷达反隐身的低可探测目标电磁散射高效数值分析

本文介绍基于多层快速多极子方法（MLFMA）分析框架下的高效处理新方法和相关研究成果,重点讨论用于厚介质层散射分析的电流磁流混合场积分方程（JMCFIE）、用于多薄层介质散射的多层薄介质层（TDS）边界条件方法及其应用等;最后介绍了所研发的P-UEST软件及其在隐身飞行目标散射特性计算中的应用成果。     

A new control scheme of a cascaded transformer type multilevel PWM inverter for a residential photovoltaic power conditioning system

From the viewpoint of high quality output voltage generation in a residential photovoltaic system, a multilevel inverter employing cascaded transformers can become a good substitute for the conventional pulse width modulated inverters and other multilevel counterparts. However, to obtain more sinusoidal output voltage waves, it should increase the number of switching devices and transformers resulting in a cost increase. To alleviate this problem, an efficient switching pattern is proposed and applied to a multilevel inverter equipped with two cascaded transformers, which have a series-connected secondary. Operational principle and analysis are illustrated focusing on a change of the switching pattern. High-performance of the proposed multilevel scheme embedded in a photovoltaic power conditioning system is verified by computer-aided simulations and experimental results.     

地理信息共享平台安全访问机制的研究

本文阐述了地理信息共享平台的概念,分析了它与一般信息系统的不同特点。发现在空间信息资源获取、采集、管理、共享以及应用的过程中,应统筹考虑信息安全。地理信息共享平台要实现政府及企业中的各部门、各层次之间的空间信息资源的交流和共享,所以研究不同用户访问地理信息共享平台的安全性,并制定相应的策略尤为重要。     

A hardware structure for the automatic selection of multi-level thresholds in digital images

Architectures for the selection of levels for thresholding digital images are presented. The architectures are based on an iterative scheme derived by maximizing the variance between regions in the digital image. A new derivation of the iterative scheme is also presented along with a number of examples of image thresholding.     

一个用于多级安全关系数据库系统的改进Bell La Padula模型

本文简要地介绍了用于安全计算机系统的Ｂｅｌｌ Ｌａ Ｐａｄｕｌａ模型,根据关系数据库中数据对象的逻辑关系,提出了一个用于多级安全关系数据库的Ｂｅｌｌ－Ｌａ Ｐａｄｕｌａ模型的改进模型,改进模型对原模型的系统状态、公理和状态转换规则进行了修改,证明了修改后的状态转换规则是“安全保持”和“性质保持”的,并证明了经改进后的模型所给出的系统是安全的。     

结合倒谱阈值频谱估计与瑞利分布模型的语音活动检测

针对传统的似然比语音活动检测的计算语音与噪声统计模型复杂度高,提出结合倒谱阈值估计噪声频谱与瑞利统计模型的语音活动检测方法。该方法先用倒谱阈值估计噪声的频谱,再利用UMPT获得基于瑞利模型的语音判决阈值更新准则。评估了4种不同方法组合的语音活动检测（voice activity detection,VAD）。实验表明：在非平稳噪声环境下该方法的正确检测率优于其它组合的VAD方法。     

A multilevel parallel solver for block tridiagonal and banded linear systems

This paper describes an efficient algorithm for the parallel solution of systems of linear equations with a block tridiagonal coefficient matrix. The algorithm comprises a multilevel LU-factorization based on block cyclic reduction and a corresponding solution algorithm.

The paper includes a general presentation of the parallel multilevel LU-factorization and solution algorithms, but the main emphasis is on implementation principles for a message passing computer with hypercube topology. Problem partitioning, processor allocation and communication requirement are discussed for the general block tridiagonal algorithm.

Band matrices can be cast into block tridiagonal form, and this special but important problem is dealt with in detail. It is demonstrated how the efficiency of the general block tridiagonal multilevel algorithm can be improved by introducing the equivalent of two-way Gaussian elimination for the first and the last partitioning and by carefully balancing the load of the processors. The presentation of the multilevel band solver is accompanied by detailed complexity analyses.

The properties of the parallel band solver were evaluated by implementing the algorithm on an Intel iPSC hypercube parallel computer and solving a larger number of banded linear equations using 2 to 32 processors. The results of the evaluation include speed-up over a sequential processor, and the measure values are in good agreement with the theoretical values resulting from complexity analysis. It is found that the maximum asymptotic speed-up of the multilevel LU-factorization using p processors and load balancing is approximated well by the expression (p +6)/4.

Finally, the multilevel parallel solver is compared with solvers based on row and column interleaved organization.     

矩不变调整的二维Shannon嫡图像分割及其快速实现

为了克服二维Shannon熵阈值法的缺陷,提出了一种使用矩不变法来调整二维直方图斜分Shannon熵的阈值分割方法。首先将二维直方图斜分原理运用到两种Shannon熵阈值法中,然后利用矩不变法从两种熵阈值法获取的阈值中选择最佳阈值,并提出二维直方图斜分Shannon熵阈值法的一般递推算法,最后将二维直方图分布特性与这种算法有机结合得到新型快速的递推算法。实验结果表明,提出的方法不仅分割效果优于当前的二维直方图斜分的最大熵阈值法,而且运行速度更快,约快4倍。     

基于多级存储结构的海量信息管理系统的研究

It is very important for such large-scale application systems as global information systems,GIS,digital libraries,data warehousing to effectively manage and manipulate the large volumes of infor-mation(more than terabytes of data). One of challenge problems is to study massive information man-agement system and related techniques. Since the large volumes of information are mainly stored on ter-tiary storage devices,the study of massive information management system should focus on the follow-ing aspects. (l)the multilevel storage architecture in which the tertiary storage devices are main datamedia and the secondary storage devices are data cache; (2)scalable system architecture of massive in-formation management system; (3)retrieve process techniques. This paper will deeply study and discussthe above oroblems.     

基于特征距离的阈值法及其在眼科图象分割中的应用

医学图象的识别与分析能够为临床提供定量比的诊断依据,而图象分割是其中最关键的一步。为提高医学图象侵分割效果,提出了一种基于特征距离的阈值分割算法,并将其与颜色特征分类相结合,来对眼科裂隙灯生物显微镜图象上的角膜充血区进行分割,分割结果可用于角膜充血区的定量体分析,另外,该算法中的样本典型值是通过一种三维直方图分块算法来确定的,实验结果表明,该算法可以有效地分割出角膜充血,其分割效果优于欧氏距离阈值法,且分析数据的精度能够达到临床诊断的要求。