自生纳米纤维增强SiO_2气凝胶的制备及性能研究

采用溶胶-凝胶法和乙醇超临界干燥工艺制备ZrOX/SiO2复合气凝胶,再经1 200℃高温热处理得到自生纳米纤维增强SiO2复合气凝胶。利用扫描电子显微镜、透射电子显微镜、X射线衍射、热重和氮气吸附等手段对气凝胶的结构和性能进行了分析,并且测试了样品的压缩强度及真密度。实验结果表明:自生纳米纤维增强SiO2复合气凝胶具有均匀的多孔网络结构,锆氧纳米纤维是以化学键连接复合的方式无序穿插在气凝胶中,对复合气凝胶的机械强度和隔热性能有明显的改善。经1 200℃热处理后的ZrOX/SiO2复合气凝胶比表面积为827.22 m2·g-1,压缩强度为9.68 MPa,真密度为0.23 g·cm-3。     

牡丹江地区“山地资源”开发利用的优化设计

本文介绍了山地资源开发利用的优化试验方案 ,并对试验结果进行了分析。该方案取得了较好的经济、生态和社会效益。     

数理统计在泡桐椽材营造技术上的应用

本文针对泡桐育椽存在的问题，应用正交试验，多重比较，方差分析等方法进行泡桐椽材营造技术研究，找出适合椽材林生长的优化组合和最佳育椽模式。经运行取得了较高的经济效益     

Sometimes slow growing is fast growing

The slow growing hierarchy is commonly defined as follows: G₀(x) = 0, G_x−1(x) := G_x(x) + 1 and G_λ(x) := G_λ[x](x) where λ<₀ is a limit and ·[·]:₀∩ Lim × ω → ₀ is a given assignment of fundamental sequences for the limits below ₀. The first obvious question which is encountered when one looks at this definition is: How does this hierarchy depend on the choice of the underlying system of fundamental sequences? Of course, it is well known and easy to prove that for the standard assignment of fundamental sequence the hierarchy (G_x)_x<0 is slow growing, i.e. each G_x is majorized by a Kalmar elementary recursive function.

It is shown in this paper that the slow growing hierarchy (G_x)_x<0 — when it is defined with respect to the norm-based assignment of fundamental sequences which is defined in the article by Cichon (1992, pp. 173–193) — is actually fast growing, i.e. each PA-provably recursive function is eventually dominated by G_x for some <₀. The exact classification of this hierarchy, i.e. the problem whether it is slow or fast growing, has been unsolved since 1992. The somewhat unexpected result of this paper shows that the slow growing hierarchy is extremely sensitive with respect to the choice of the underlying system of fundamental sequences.

The paper is essentially self-contained. Only little knowledge about ordinals less than ₀ — like the existence of Cantor normal forms, etc. and the beginnings of subrecursive hierarchy theory as presented, for example, in the 1984 textbook of Rose — is assumed.     

基于快速模糊C均值聚类算法的红外图像分割

 针对模糊C均值(FCM)聚类图像分割需要预先知道类别数及计算量较大的问题,提出了新的快速FCM改进方法。首先,利用边缘信息进行邻域搜索得到种子像素;通过区域生长快速获得区域分割类别数和对应的聚类中心值,并将图像分成确定类别的区域和未确定类别的区域;最后利用所得的聚类中心值和 FCM算法对未确定类别区域进行聚类。实验证明,本文提出的改进方法大大减少了计算量,显著提高了图像分割速度,而且由于聚类考虑了相邻像素点的关系,图像分割结果能够清晰地保留目标轮廓,提高了图像分割的质量。     

快速生长超长定向碳纳米管阵列的制备及机理

 采用一种无模板的化学气相沉积法裂解金属有机物,以二茂铁为催化剂,二甲苯为碳源,利用单温炉加热装置在100 min内成功制备了2.7 mm超长定向碳纳米管阵列,生长速率高达27 μm·min^-1。运用扫描电子显微镜、透射电子显微镜、拉曼光谱对定向碳纳米管阵列进行形貌观察和表征,结果表明:制得的碳纳米管阵列具有优越的定向性和管结构,并且石墨化程度高。给出了快速生长超长定向碳纳米管阵列的优化制备条件,结合表征结果讨论了碳纳米管阵列的生长机制,认为超长碳纳米管阵列采用的是一种催化剂固定不动的开口生长方式,碳源和催化剂的连续供应保证了超长碳纳米管阵列的快速生长。     

利用对称区域生长算法实现三维ICT图像的快速分割

图像分割作为一种基础的分析手段在工业计算机断层(Industrial Computed Tomography,ICT)检侧中有着广泛的应用.随着CT扫描方式从二维断层扫描向三维立体扫描的发展,对于CT图像的分析也由二维图像处理发展为三维序列图像处理,所以传统的图像分割手段已经不能很好地适应这种需求了.以目前在计算机视觉...     

多尺度无监督彩色图像分割

非采样Contourlet变换是一种新的多尺度多分辨率分析工具,本文提出了一种基于非采样Contourlet变换的彩色图像无监督分割算法.首先利用非采样Contourlet变换的平移不变性在其变换域应用梯度向量法提取图像多尺度边缘;然后在Contourlet变换域的低频子带和高频子带中分别提取局部低频能量纹理特征与高频...     

被动式太赫兹图像分割算法

提出了一种被动式太赫兹图像识别算法。算法对原始太赫兹图像进行去噪预处理之后,通过对灰度直方图分析并对其曲线拟合,选定种子点和生长阈值对图像进行区域生长,以实现图像分割。实验结果证明,算法能够有效地从被动太赫兹图像背景中提取感兴趣的目标区域,有利于快速准确地发现被检测者隐藏在衣服内的违禁品,增强了安检成像系统的实用性。     

Shallow Water Flow Analysis with Moving Boundary Technique Using Least-squares Bubble Function

This paper presents a computational simulation method for a river problem. For the actual flow problem, it is necessary to compute flow velocity, water elevation and water region at the same time. For the basic formulation, the unsteady shallow water equations are used. As the numerical approach, implicit FEM is proposed by bubble function. To control numerical stability and accuracy, LSBF (Least-Squares Bubble Function) is used to solve the finite element equations. Also, the fixed boundary technique is combined to deal with wet and dry areas in the moving finite element mesh. Some numerical tests are shown to check this method.