Kernel-based fourth-order diffusion for image noise removal

The fourth-order partial differential equations have good performance on noise smoothing and edge preservation without creating blocky effects on smooth regions. However, for low signal-to-noise ratio images, the discrimination between edges and noise is a challenging problem. A novel kernel-based fourth-order diffusion is proposed in this paper. It introduces a kernelized gradient operator in the fourth-order diffusion process, which leads to more effective noise removal capability. Experiment results show that this method outperforms several previous anisotropic diffusion methods for noise removal and edge preservation.     

Phase transition of LCP fluids confined in nanochannels through MD simulation

Manipulation of molecular orientation alignment in MCTLCPs (main-chain thermotropic liquid crystalline polymers) by pure shear at nano scale has been investigated for the first time using molecular dynamics (MD) simulation. Results indicate that high planar shear induces long-range uniform orientation ordering (liquid crystalline phase) of initially randomly orientated molecules of MCTLCP fluid confined in a nanochannel, which is confirmed by analyzing the orientation order parameter and the snapshots of MCTLCP liquid in a nanochannel under different shear rates. Insights into the origin of the phase transition phenomena are given at molecular level through investigating the thermodynamic density distribution of MCTLCP molecules in the nanochannel, suggesting that the energy shift due to a radical jump of system density affects both the magnitude and the orientation of the molecular ordering. Simulation results also show that there is a critical shear rate for transforming isotropic phase into liquid crystalline phase. The critical shear rate is dependent on the temperature of the MCTLCP system. Findings in this paper may present useful information for processing TLCP molecules at nano scale and the understanding of nanoflow.     

GENERALIZED INVERSE GROUP OF SIGNAL AND ITS IMPLEMENTATION WITH NEURAL NETWORKS

A new concept, the generalized inverse group (GIG) of signal, is firstly proposed and its properties, leaking coefficients and implementation with neural networks are presented. Theoretical analysis and computational simulation have shown that (1) there is a group of finite length of generalized inverse signals for any given finite signal, which forms the GIG; (2) each inverse group has different leaking coefficients, thus different abnormal states; (3) each GIG can be implemented by a grouped and improved single-layer perceptron which appears with fast convergence. When used in deconvolution, the proposed GIG can form a new parallel finite length of filtering deconvolution method. On off-line processing, the computational time is reduced to O(N) from O(N2). And the less the leaking coefficient is, the more reliable the deconvolution will be.     

同轴电纺法TiO2/g-C3N4的制备及光催化性能研究

传统的静电纺丝法使用单一的毛细管状喷头喷丝,通常用于制备实心且表面光滑单一组分的纳米纤维,无法得到具有多种功能性结构的复合材料,应用范围较窄。以酞酸丁酯和尿素为原料,采用同轴静电纺丝法成功制备了TiO₂/g-C₃N₄复合材料,并用X射线衍射（XRD）、傅里叶变换红外光谱（FTIR）、紫外可见漫反射光谱（UV-vis DRS）、场发射扫描电子显微镜（SEM）和Brunauer-Emmett-Teller （BET）分析对样品进行了表征,通过光催化降解亚甲基蓝溶液（MB）研究了不同g-C₃N₄添加量对TiO₂/g-C₃N₄复合材料光催化性能的影响。实验结果表明,采用同轴静电纺丝法结合500℃煅烧工艺成功制备了大比表面积及高光催化性能的TiO₂/g-C₃N₄复合材料。当g-C₃N₄添加量为0.15 g时,TiO₂/g-C₃N₄复合材料对亚甲基蓝溶液（MB）的光催化降解效率可达93.8%,且经过5次重复实验后降解率仍可达80%以上。     

压缩感知及其图像处理应用研究进展与展望

压缩感知理论（Compressed sensing,CS）通过少量的线性测量值感知信号的原始结构,并通过求解最优化问题精确地重构原信号.该理论减少了数字图像及视频 获取时的存储及传输代价,也为后续的图像处理及识别的研究提供了新的契机,促进了理论和工程应用的结合. 阐述了CS的基本原理,综述了其关键技术稀疏变换、观测矩阵 设计、重构算法的一系列最新理论成果和发展,深入分析和比较了CS理论应用到图像处理领域的研究和发展状况,总结了其中存在的问题,并对未来的应用前景进行了展望.     

深度学习下的视觉SLAM回环检测及其算法

作为机器人技术领域的研究重点之一,SLAM在无人驾驶、增强现实、虚拟现实等方面有重要应用。视觉SLAM利用连续的相机帧获取信息,完成环境环境感知,而长时间运行视觉SLAM系统会不断累积邻近帧间误差,影响后端优化收敛。针对此问题,提出一种基于深度学习的回环检测方法,使用回环检测模块以减少邻近帧间的误差积累,克服以人工标记特征点算法为基础的传统视觉SLAM回环检测的不足,提高了系统在复杂环境下的检测准确率。经实验验证,算法获得良好的准确率与速率,能够满足视觉SLAM系统的要求。     

动态调整概率的双重布谷鸟搜索算法

布谷鸟搜索算法是一种新兴的仿生智能算法,存在着求解精度低、易陷入局部最优及收敛速度慢等缺陷,提出了动态调整概率的双重布谷鸟搜索算法(DECS)。首先,在自适应发现概率P中引入了种群分布熵,通过算法的所处迭代阶数和种群分布情况,动态改变发现概率P的大小,有利于平衡布谷鸟算法局部寻优和全局寻优的能力,加快收敛速度;其次,在布谷鸟寻窝的路径位置更新公式中,采用了一种新型步长因子更新寻优方式,形成Levy飞行双重搜索模式,充分搜索空间;最后,在随机偏好游走的更新公式引入非线性对数递减的惯性权重策略,使得算法有效克服易陷入局部最优的缺陷,提高寻优搜索能力。与4种算法相比和19个测试函数的仿真结果表明:改进布谷鸟算法的寻优性能明显提高,收敛速度更快,求解精度更高,具有更强的全局搜索能力和跳出局部最优能力。     

Self-assembly of telechelic polymers bearing adamantane groups via host-guest inclusion complexes with cyclodextrin polymer

Self-assembly and supramolecular inclusion complexations between telechelic polymers bearing one or double adamantane groups and linear poly(β-cyclodextrin) (P(β-CD)) were investigated in water. An adamantane (Ada) attached to poly (acrylic acid) (PAA) was prepared by reversible addition-fragmentation chain transfer polymerization using s-1-dodecyl-s″ -(α,α′-dimethyl-α″-acetic acid) trithio-carbonate functionalized Ada with tert-butyl acrylate, followed by functional modification. Additionally, two Ada groups capped triblock copolymer F127 were obtained via an esterification reaction. The dynamic light scattering, transmission electron microscope and ¹H 2D NOSEY NMR spectroscopy were conducted to characterize the self-assembly behaviors. With the inclusion complexation of Ada/CD in 1:1 M ratio in water, the spherical micelles were enlarged at 25°C than that of the adamantyl polymer precursors. Due to the PPO segment of Ada-F127-Ada, the micelles aggregation showed temperature dependence from 4 to 37°C for precursor and corresponding inclusion complexation; while in Ada-PAA/P(β-CD) system, the hydrodynamic diameters decreased with pH decreasing.     

污水处理运行模式对好氧颗粒污泥特性的影响

研究了运行模式的改变对好氧颗粒污泥优势丝状菌种类,以及对污泥特性所产生的影响。结果表明,序批式活性污泥法反应器(SBR)中出现大量外伸型丝状菌Type 021N,但并未阻碍污泥的颗粒化,且随着絮体污泥颗粒化进程的推进,其对污泥沉降性的影响也在逐步减小,最终得到平均粒径为0.75 mm、污泥容积指数为43 mL/g的成熟好氧颗粒污泥。而将成熟颗粒污泥接种至连续流反应器中时,颗粒污泥开始解体,污泥特性开始恶化,同时优势丝状菌演替为另一种外伸型丝状菌Sphaerotilus Natans。分析认为,外伸型丝状菌会影响污泥在生物区与沉淀池间的循环周期及其在沉淀池的实际停留时间,是颗粒污泥解体的主要原因,而该影响在SBR运行模式下较小,在连续流态下较大。     

RANDOM-FUZZY SAFETY ANALYSIS FOR AN AERO ENGINE TURBINE DISK

A numerical simulation method is presented for the random-fuzzy safety analysis of an aero engine disk. Based on the equivalent transformation from a fuzzy variable to a random variable, the equivalent random Probability Density Functions(PDFs) are got from their corresponding Fuzzy Possibility Distributions(FPDs) for the fuzzy variables. In that case the perfect numerical simulation method for the random uncertainty is employed to solve the fuzzy uncertainty. For the complex structure such as the aero engine disk with implicit relationship between the input basic variable and the response variable, the equivalent PDFs of the input basic variables are delivered simultaneously to the response variable by an empirical PDF, which is simulated by Finite Element Method(FEM). Then, in view of the fuzzy application requirement occurring in engineering usually, the reliability definition and calculation are discussed for the aero engine disk with multiple fuzzy failure modes. On the other hand, through the inverse transformation of the fuzzy variable to the random variable, the FPDs of the response variables can be calculated from their empirical PDFs as well.