Image super-resolution based on multi-space sparse representation

Sparse representation provides a new method of generating a super-resolution image from a single low resolution input image. An over-complete base for sparse representation is an essential part of such methods. However, discovering the over-complete base with efficient representation from a large amount of image patches is a difficult problem. In this paper, we propose a super-resolution construction based on multi-space sparse representation to efficiently solve the problem. In the representation, image patches are decomposed into a structure component and a texture component represented by the over-complete bases of their own spaces so that their high-level features can be captured by the bases. In the implementation, a prior knowledge about low resolution images generation is combined to the typical base construction for high construction quality. Experiment results demonstrate that the proposed method significantly improves the PSNR, SSIM and visual quality of reconstructed high-resolution image.     

Block-mode discriminant analysis and its application to face and antenna signal recognition

In this paper we present a multi-linear algebra based approach for feature extraction and signal recognition. We call this method Block-Mode Discriminant Analysis (BMDA). Experimentations are carried out on the CMU-PIE benchmark database for the task of face recognition, and we further utilized our method for the application of the signal recognition of underground UWB dielectric resonator antennas. Experiments show that our proposed BMDA is more effective and fast than its predecessors.     

3D video components generation using object tracking technique

2D-to-3D conversion that would be a solution of the lack of 3D contents has been a worthy and challenging research field. In this paper, we propose a computer interactive conversion method to capture components which is used to generate 3D sequences. First, we divide the key frame into foreground and background, and then label the objects by convenient computer interactive operation. Depth information of objects is labeled after segmentation. Second, we use object tracking technique which synthesizes the advantages of kernel-based mean shift tracker and contour tracker to accomplish object depth capture for non-key frame. Finally, all the 3D information is prepared to render 3D sequences. After all, we propose our future work direction: a 2D-to-3D system which can generate 3D sequence interactively.     

预处理短纤维对VMQ/EPDM共混导电橡胶某些性能的影响

研究了预处理短纤维用量对乙炔炭黑填充甲基乙烯基硅橡胶（ＶＭＱ）／ＥＰＤＭ共混硫化胶拉伸、撕裂、耐屈挠疲劳和导电性能的影响。实验结果表明，加入适量短纤维对ＶＭＱ／ＥＰＤＭ体系有一定的补强作用；纤维用量较大时，导电性能下降。加入４．０份左右的预处理短纤维，可使ＶＭＱ／ＥＰＤＭ共混导电橡胶获得良好的物理机械性能和导电性能     

A comparative analysis of evolutionary and memetic algorithms for community detection from signed social networks

To detect communities in signed networks consisting of both positive and negative links, two new evolutionary algorithms (EAs) and two new memetic algorithms (MAs) are proposed and compared. Furthermore, two measures, namely the improved modularity Q and the improved modularity density D-value, are used as the objective functions. The improved measures not only preserve all properties of the original ones, but also have the ability of dealing with negative links. Moreover, D-value can also control the partition to different resolutions. To fully investigate the performance of these four algorithms and the two objective functions, benchmark social networks and various large-scale randomly generated signed networks are used in the experiments. The experimental results not only show the capability and high efficiency of the four algorithms in successfully detecting communities from signed networks, but also indicate that the two MAs outperform the two EAs in terms of the solution quality and the computational cost. Moreover, by tuning the parameter in D-value, the four algorithms have the multi-resolution ability.     

Super-Resolution image Reconstruction Based on Iteration and Wavelet Transform

In this paper, we provide a super-resolution image reconstruction algorithm based on wavelet transform. Wavelet transform can separate high frequency and low frequency information of image. The more high frequency information can be obtained by using wavelet transform and the technique of image fusion. Meanwhile, reconstructed super-resolution image is produced by the iterative method. In iteration process, noise of image can be suppressed by applying method of wavelet threshold de-noising. The experiment results show that the algorithm can overcome the disadvantage of the classical interpolation method and effectively improve the resolution and PSNR of the image.     

苯乙烯/丙烯酸丁酯微乳液共聚物链段分布的研究

以苯乙烯/丙烯酸丁酯(St/BA)为共聚单体,进行了微乳液聚合反应,测定了共聚物组成和共聚单体的竞聚率。由竞聚率计算了共聚物分子的链段分布,分析了共聚物分子的微观结构。     

10 kV配电线路运行防雷措施分析

随着经济的不断发展,我国的电力网规模在不断扩大,输配电事故也随之增加。根据相关调查,雷电是输配电事故发生的主要原因之一。对此,着重分析了输配电线路防雷保护的重要性,探讨了配电线路的具体防雷保护措施。     

基于广义Hoek-Brown准则的节理岩体力学参数折剪计算

节理化岩体力学参数是矿山工程地质和稳定性分析的重要基础数据,一般在实验室通过单轴、三轴试验只能得到岩石的力学参数,无法得到岩体的力学参数。目前,利用岩石力学参数确定岩体力学参数的方法较多,但都过于烦琐或准确度不高,急需一种新的简易确定方法。因此,通过利用基于广义Hoek-Brown准则的地质强度指标（GSI法）,并结合相应的岩土分析软件,强度折剪岩石力学参数值,从而得到岩体的力学参数。通过将该方法应用于赤峰中色白音诺尔矿业有限公司岩体力学参数的计算中,证明采用该方法考虑岩体的结构面和完整性,可较为准确地反映节理化岩体的力学特性,且方便可行,具有工程实用价值。?     

中专计算机教学中如何提高学生能力水平

目前,在任何一个行业的发展中都离不开计算机。因此,中专教学中需要将计算机教学作为重点,以其为基础创新教学方法,提升学生的能力水平。就当前计算机教学中存在的问题,对如何改变教学方式、提升学生的综合能力进行了分析。