破碎覆岩回采巷道临界宽度研究

为了有效控制破碎覆岩回采巷道变形,根据其赋存特征采用工字钢架棚支护技术,分析破碎覆岩普氏拱结构的形成原理和研究回采巷道临界宽度。针对破碎覆岩回采巷道具有围岩破碎、强度低和不具有可锚性等特点,采用普氏拱理论,计算回采巷道围岩压力;当棚梁工字钢最大正应力等于工字钢屈服极限时推导出破碎覆岩条件下回采巷道临界宽度计算公式。以106煤矿为工程实例进行分析,结果表明：破碎覆岩回采巷道的合理临界宽度为4.4m;增大支护强度和减小巷道高度可有效提高破碎覆岩回采巷道临界宽度;如果需要更大的巷道宽度,可通过降低棚间距或增大型钢型号方法实现。     

Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method

Background

Preoperatively acquired diffusion tensor image (DTI) and blood oxygen level dependent (BOLD) have been proved to be effective in providing more anatomical and functional information; however, the brain deformation induced by brain shift and tumor resection severely impairs the correspondence between the image space and the patient space in image-guided neurosurgery.

Method

To address the brain deformation, we developed a hybrid non-rigid registration method to register high-field preoperative MRI with low-field intra-operative MRI in order to recover the deformation induced by brain shift and tumor resection. The registered DTI and BOLD are fused with low-field intra-operative MRI for image-guided neurosurgery.

Results

The proposed hybrid registration method was evaluated by comparing the landmarks predicted by the hybrid registration method with the landmarks identified in the low-field intra-operative MRI for 10 patients. The prediction error of the hybrid method is 1.92 ± 0.54 mm, and the compensation accuracy is 74.3 ± 5.0%. Compared to the landmarks far from the resection region, those near the resection region demonstrated a higher compensation accuracy (P-value = .003) although these landmarks had larger initial displacements.

Conclusions

The proposed hybrid registration method is able to bring preoperatively acquired BOLD and DTI into the operating room and compensate for the deformation to augment low-field intra-operative MRI with rich anatomical and functional information.     

Fall detection for multiple pedestrians using depth image processing technique

A fall detection method based on depth image analysis is proposed in this paper. As different from the conventional methods, if the pedestrians are partially overlapped or partially occluded, the proposed method is still able to detect fall events and has the following advantages: (1) single or multiple pedestrian detection; (2) recognition of human and non-human objects; (3) compensation for illumination, which is applicable in scenarios using indoor light sources of different colors; (4) using the central line of a human silhouette to obtain the pedestrian tilt angle; and (5) avoiding misrecognition of a squat or stoop as a fall. According to the experimental results, the precision of the proposed fall detection method is 94.31% and the recall is 85.57%. The proposed method is verified to be robust and specifically suitable for applying in family homes, corridors and other public places.     

The linear viscoelastic properties of copolypropylene–clay nanocomposites

The linear viscoelastic properties of copolypropylene (cPP)–clay nanocomposites (cPPCNs) prepared by melt intercalating with different amounts of clay were extensively examined by rheological measurements. Meanwhile, the clay effects on the cPP confinements were first estimated by calculating the activation energy of different cPP moving units, including the whole molecular chain, the chain segment, and smaller unit such as chain link. The results showed that the stability of cPPCNs melts wrecked when the clay loading was above 5 wt %. An increase in clay loading of cPPCNs gave rise to a strong low frequency solid‐like response (G′ > G″). Unlike the matrix polymer, cPPCN5 (with 5 wt % clay) exhibited a relaxation plateau as relaxation time prolonged above 100 s, and displayed a maximal linear modulus. The variations of the activation energy of different cPP moving units revealed that the mobility of cPP molecular chains was restricted by clay layers, while these restrictions were not only related to the clay loadings but also largely depended on the clay dispersion status in the matrix. The motions of cPP chain segments were greatly limited at 3–5 wt % loading of clay, but drastically activated with the addition of 7 wt % clay due to the increasing stacks of clay layers within the matrix. However, it was found that the presence of clay had little effect on the mobility of small cPP moving units such as chain links. © 2005 Wiley Periodicals, Inc. J Appl Polym Sci 99: 1523–1529, 2006     

复合型热塑性工程塑料的进展

对复合型热塑性工程塑料制造技术、特性、应用情况和发展趋势进行了较全面的评述，对发展我国工程塑料产业提出了若干建议。     

人造金刚石用石墨片生产工艺的改进

为了适应国内金刚石市场对高质量金刚石的需要，对原有的人造金刚石用石墨片的生产工艺进行了改进。     

A novel image steganography scheme with high embedding capacity and tunable visual image quality based on a genetic algorithm

Steganography is knowledge and art of hiding secret data into information which is largely used in information security systems. Various methods have been proposed in the literature which most of them are not capable of both preventing visual degradation and providing a large embedding capacity. In this paper, we propose a tunable visual image quality and data lossless method in spatial domain based on a genetic algorithm (GA). The main idea of the proposed technique is modeling the steganography problem as a search and optimization problem. Experimental results, in comparison with other currently popular steganography techniques, demonstrate that the proposed algorithm not only achieves high embedding capacity but also enhances the PSNR of the stego image.     

基于Potts模型的隐式曲面上的图像分割方法

针对隐式曲面上多相图像分割的问题,基于曲面的隐式表达、隐式曲面上的内蕴梯度等概念,将用于平面图像分割的Potts模型推广.首先对于隐式封闭曲面和隐式开放曲面,分别给出Potts模型的推广形式.然后对于传统梯度降方法计算效率低的问题,为曲面上的Potts模型设计了Split Bregman算法和对偶方法,并在对偶方法的基础上提出了一种改进的快速算法.多个数值实验结果表明,所提出的曲面上的Potts模型能有效地分割闭/开曲面上的分段常值图像,并且新的改进对偶方法在计算效率方面优于其他两种方法.     

基于多混沌系统的彩色图像加密方法

为了提高彩色图像加密的安全性和加密性能,设计了一种基于多混沌系统的彩色图像加密方法.将一个彩色图像分解为R、G、B三个灰度图像,使用MD5算法动态生成加密算法的初始值,然后使用三种不同的基于混沌的加密结构对三个图像进行加密.对R图像使用Feistel结构加密,其中Feistel结构的S一盒由Logistic混沌序列和Hyperhenon混沌序列组合产生;对G图像使用由Lorenz系统产生加密序列对图像进行代替和置换操作的加密结构;对B图像使用由分段线性混沌映射产生加密序列,然后加密图像的加密结构,再把加密后的图像结合起来生成加密后的图像.理论分析和实验结果表明,该加密方法能够较为有效地保证彩色图像加密的安全性.     

基于FRS-SVM的工业数据挖掘研究

在工业生产分类过程中,存在数据量过大,冗余特征过多的问题,本文结合模糊粗糙集和支持向量机研究了一种分类算法。首先采用模糊粗糙集方法对条件属性进行属性约简,找出对分类决策具有主要影响的特征。以约简结果作为分类模型的输入变量,然后利用支持向量机对样本进行训练,建立分类模型,最后将本文的方法用于地板正反面分类和分析氧化铝晶种分解过程,并测试模型的分类效果。MATLAB仿真实验的结果表明本文的方法是有效的,具有分类正确率高,结构简单,泛化能力好的优点。