Classification of Medical Brain Images

Since brain tumors endanger people‘s living quality and even their lives, the accuracy of classification becomes more important. Conventional classifying techniques are used to deal with thosedatasets with characters and numbers. It is difficult, however, to apply them to datasets that include brain images and medical history (alphanumeric data), especially to guarantee the accuracy.For these datasets, this paper combines the knowledge of medical field and improves the traditional decision tree. The new classification algorithm with the direction of the medical knowledge not only adds the interaction with the doctors, but also enhances the quality of classification. The algorithm has been used on real brain CT images and a precious rule has been gained from the experiments. This oaoer shows that the ahzorithm works well for real CT data.     

Matched field noise suppression： Principle with application to towed hydrophone line array

Discrete noise source suppression in underwater acoustic channel has attracted great attention in recent years. The paper proposes a new principle for dealing with the problem. This new principle is called matched field noise suppression (MFNS). Based on a previous work of the authors group, a full understanding about how a discrete noise source shows effects on the performance of a towed hydrophone line array has been obtained. In light of that finding,MFNS is proposed, which explores and utilizes the characteristics of the noise transmission channel to achieve much greater suppression of the noise in comparison with existing approaches. MFNS combines the concept of matched field processing (MFP) and optimal sensor array processing (OSAP) together to suppress the discrete noise source and to maintain an optimal beam for receiving far-field wanted plane wave signals. A MFNS beam-former is deduced in constraint with signal plane-wave response being unit and noise matched field response being zero. A dosed-form solution of the weight vector for the beam-former is given. Computer simulation results agree well to the theoretical analysis.     

南海海底特征、资源区位与疆界断续线

根据南海海底的成因与地形特征 ,并通过建立和分析南海海底数字地形模型 ,将南海的海底分为中央的深海盆地、两侧的阶梯状大陆坡、以及周边亚洲大陆延伸的大陆架 3个地貌单元 .再据 194 7年“南海诸岛位置图”精确计算出二战后依据波茨坦公告为国际认可的断续线疆界的经纬度坐标 ,阐述了中国对南海主权的历史延续性 .最后 ,论述了南海区位与资源的优势 ,论证了其海域具体位置与巨大的经济政治战略意义 .     

基于小波分析的X线医学图像噪声综合抑制方法

提出了一种基于小波分析理论的医学X线图像噪声的综合抑制方法．将X线图像的试验处理结果与邻域平均、中值滤波去噪处理方法进行对比分析，结果表明该方法不仅能消除噪声提高图像质量，而且有效地保留了影像中丰富的细微影纹和边缘信息．     

X线头影测量分析自动化系统研究

在Windows98的基础上，采用面向对象的方法进行分析，以Visual Basic6.0编制全部程序，建成了定点测量分程全程自动化的头影测量分析系统．利用本系统实现了对头颅定位侧位片上标志点的自动定位．系统具有人机界面友好，操作简单，功能实用，易于升级等特点．     

用保角变换-边界配点求应力强度因子的计算方法研究

介绍了用保角变换-边界配点法求解有限平面域内部孔口问题的基本方程．以中心裂纹矩形板为例，研究了计算方法中各种因素对应力强度因子形状尺寸系数YI计算结果的影响规律，得到了保角变换-边界配点法的合理计算方案，给出了有关因素对应力强度因子计算结果影响规律的数值图表和曲线．     

基于凸集投影和线过程模型的超分辨率图像重建

为了改善超分辨率重建图像的效果，提出了一种基于线过程模型的凸集投影方法。根据先验信息在图像重建中有重要作用的原理，该方法在数据一致性投影的基础上，将描述边缘信息的线过程模型作为图像的一个先验知识，用于重建过程中的平滑性约束投影，从而达到既保存图像的高频分量，又在一定程度上降低平滑区域噪声的效果。实验结果表明，该方法重建结果的视觉效果好于原方法，且信噪比有所提高，尤其是在高抽取率的情况下可以明显减少振铃效应。     

旋叶式压缩机的气缸型线研究

根据旋叶式压缩机的工作原理，提出了气缸型线设计的基本原则。通过泄漏分析，设计出由密封圆弧、过渡曲线、主曲线所组成的气缸型线并推导出各段型线的通用方程。压缩机的吸气容积、内容积比等与主曲线的函数形式相关。以抛物线、椭圆、三次曲线以及三角函数为例的研究表明，三次曲线构成的气缸型线具有最大的吸气容积而内容积比最小，适用于大排气量低压比的机器；椭圆型线的吸气容积最小而内容积比最大，适用于小气量高压比的机器；三角函数型线介于两者之间；抛物线不适宜作为气缸型线。型线的最小曲率半径一般出现在过渡曲线段的拐点上，可通过改变曲线形式及扩大过渡曲线范围得到理想的最小曲率半径值，以利于机器的加工。     

圆截线平面公式的应用

利用二次曲面的圆截线平面公式,我们易于求出椭圆面、双曲面、椭圆抛物面的圆截线平面,而这些圆截线平面以前利用旋转和平移求起来很困难。     

三维Minkowski空间的Mannheim侣线

讨论了三维Minkowski空间中Mannheim侣线的曲率与挠率之间的关系，证明了Mannheim侣线的曲率与挠率满足的关系式．