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.     

孔雀球虫种类研究历史及概况

记述了孔雀的球虫种类共计艾美球虫9种,等孢球虫2种,及各种类的特征.     

二元(2ω+1,4,ω)非线性等重码检错性能的进一步分析

二元(n,2δ,ω)非线性等重码是一类非常重要的检错码,它的检错性能得到了普遍关注.文中对n=2ω+1,δ=2这类特殊的二元非线性等重码进行了研究并给出了一些新的结果.     

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 .     

两多模相干态的叠加态光场的等幂N次Y压缩

根据量子力学态叠加原理,构造了由多模复共轭相干态|{zj(a)}>q和多模复共轭相干态的相反态等幂次|{-zj(b)}>q的线性叠加所组成的振幅不等的非对称两态叠加多模叠加态光场|Ψn(2)>q(j=1,2,3,…,q),利用多模压缩态理论研究了态|Ψn(2)>q的等幂次N次方Y压缩特性。结果表明:在各模的平均光子数不相等而对应模的初始相位相等亦即Rj(a)≠Rj(b)且ψj(a)=ψj(b)=ψj的条件下,如果各模的初始相位ψj和态间的初始相位差θpq(R)-θnq(R)=△θ满足一定取值关系,则无论压缩次数N为奇数还是偶数,态|Ψn(2)>q的两个正交相位分量均可分别呈现周期性变化的等幂次N次方Y压缩效应,但N是奇数时的压缩深度大于N是偶数时的压缩深度。     

基于图像分析的实验模型变形场量测标点法

在模型观测面上 ,通过设置嵌入式彩色标点 ,在实验各阶段利用数码相机拍摄照片 ,然后应用数字图像处理技术 ,识别并比较每一实验阶段的标点坐标 ,利用有限元中常用的四边形等参变换的方法将测点图像空间坐标转换为模型空间坐标 ,实现了图像校准和变形计算 .开发了一套应用软件系统 ,用于数字图像标点识别分析和结果数据的可视化处理 ,精度检验实验结果表明测点位移识别均方误差为 0 .14～ 0 .5 2个像素 ,相当于模型观测范围的 5 / 10 0 0 0 0～ 1.5 / 10 0 0 0 .最后给出一个在粘土地基承载力模型实验中的应用实例     

等熵轻质活塞风洞的特性分析

阐述了忽略活塞质量时等熵轻质活塞风洞的工作机理及其特征，并与激波风洞、炮风洞和罗德维奇风洞等暂冲式风洞进行了比较，从而为不同情况下选择不同类型的风洞提供了依据。     

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．