Image denoising based on wavelets and multifractals for singularity detection.

This paper presents a very efficient algorithm for image denoising based on wavelets and multifractals for singularity detection. A challenge of image denoising is how to preserve the edges of an image when reducing noise. By modeling the intensity surface of a noisy image as statistically self-similar multifractal processes and taking advantage of the multiresolution analysis with wavelet transform to exploit the local statistical self-similarity at different scales, the pointwise singularity strength value characterizing the local singularity at each scale was calculated. By thresholding the singularity strength, wavelet coefficients at each scale were classified into two categories: the edge-related and regular wavelet coefficients and the irregular coefficients. The irregular coefficients were denoised using an approximate minimum mean-squared error (MMSE) estimation method, while the edge-related and regular wavelet coefficients were smoothed using the fuzzy weighted mean (FWM) filter aiming at preserving the edges and details when reducing noise. Furthermore, to make the FWM-based filtering more efficient for noise reduction at the lowest decomposition level, the MMSE-based filtering was performed as the first pass of denoising followed by performing the FWM-based filtering. Experimental results demonstrated that this algorithm could achieve both good visual quality and high PSNR for the denoised images.     

Frequency domain solution to delay-type Nehari problem

This paper generalizes the frequency-domain results on the delay-type Nehari problem in the stable case to the unstable case. The solvability condition of the delay-type Nehari problem is formulated in terms of the nonsingularity of three matrices. The optimal value γ_opt is the maximal γ∈(0,∞) such that one of the three matrices becomes singular. All sub-optimal compensators are parameterized in a transparent structure incorporating a modified Smith predictor.     

新型复合弹簧的研究

提出一种金属圆锥弹簧与橡胶圆锥弹簧复合而成的弹簧．分析表明：它可以应用于弹性耦合激励振动筛和座式直线振动筛。     

PVDF中空纤维滤膜的形态结构

用Ｌ－Ｓ相转换法制备了聚偏氟乙烯（ＰＶＤＦ）中空纤维不对称滤膜。铸膜液由聚合物、溶剂和添加剂组成。用电子显微镜（ＳＥＭ）考察了聚合物浓度、添加剂用量及种类对膜形态结构的影响。实验结果表明，聚合物浓度对膜形态结构有显著影响，当铸膜液中聚合物浓度较低时，无论用什么种类添加剂，都能形成大、且多的孔，但孔的形状随添加剂不同而异。当恒定聚合物浓度时，添加剂的用量对膜形态结构有很大的影响，但孔的大小及多少与添加剂含量的多少不成正比。     

铁钴钒软磁合金损耗谱的分形结构

研究了铁钴钒软磁合金的铁芯损耗，发现铁芯损耗谱具有分形结构。讨论了带材厚度和磁感应强度对分形维数Ｄｆ的影响。     

高性能各向异性Sm2Fe17Nx磁粉的制备

本文研究了高性能各向异性Ｓｍ２Ｆｅ１７Ｎｘ磁粉的制备工艺路线与工艺参数。优化了制备与工艺参数。已制备出磁性能达到：Ｂｒ＝１．３９Ｔ，Ｈｃｉ＝８５０ＫＡ／ｍ和（ＢＨ）ｍ＝２３６ＫＪ／ｍ＾３的各向异性Ｓｍ２Ｆｅ１７Ｎ２．８８磁粉，该磁粉的各向异性场ＨＡ达到２０Ｔ。     

助剂对Pd/树脂醚化催化剂催化性能的影响 Ⅰ.铝助剂的影响

研究了不同助剂对Ｐｄ／树脂醚化催化剂在临氢条件下对催化裂化汽油Ｃ５馏份与甲醇和Ｈ２反应的催化性能的影响。结果表明，在Ｐｄ／树脂醚化催化剂中引入Ｚｒ、Ｔｉ、Ｂ、Ｓｎ和Ａｌ等助剂后，都能改善催化剂的醚化、双键异构和二烯烃选择性加氢活性，其中以Ａｌ、Ｓｎ为最好。Ａｌ助剂的体积质量和负载方式对Ｐｄ－Ａｌ／树脂醚化催化剂的活性有影响。ＢＥＴ方法和Ｘ－射线荧光光谱分析（ＸＦＳＡ）表明，Ａｌ助剂对Ｐｄ－Ａｌ／树脂醚化催化剂的表面积、孔结构和Ｐｄ离子交换量影响较小。     

新疆三塘湖盆地侏罗系煤有机地球化学特征

有机地球化学和有机岩石学研究结果表明，新疆三塘湖盆地侏罗系煤中富集孢子体和角质体（３．０％～６．０％，全岩体积百分比），对煤中氯仿沥青“Ａ”组成中较高的总烃馏分（３０％～５０％）和饱芳比（０．６～３．０）产生了影响。煤的聚集环境是影响煤的显微组分组成及生油特性的关键因素。三塘湖盆地侏罗系煤属于“晚生晚排”叠加有“早生早排”类型的烃源岩。     

制革用水乳型聚氨酯涂饰剂行业标准的制定

本文概述了制定该标准的背景，对标准的主要内容加以科学的阐述。