隐式低秩稀疏表示的多视角子空间聚类

针对多视角子空间聚类问题,提出基于隐式低秩稀疏表示的多视角子空间聚类算法(LLSMSC).算法构建多个视角共享的隐式结构,挖掘多视角之间的互补性信息.通过对隐式子空间的表示施加低秩约束和稀疏约束,捕获数据的局部结构和稀疏结构,使聚类结果更准确.同时,使用基于增广拉格朗日乘子交替方向最小化算法高效求解优化问题.在6个不同数据集上的实验验证LLSMSC的有效性和优越性.     

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Retina is the interior part of human's eye, has a vital role in vision. The digital image captured by fundus camera is very useful to analyze the abnormalities in retina especially in retinal blood vessels. To get information of blood vessels through fundus retinal image, a precise and accurate vessels segmentation image is required. This segmented blood vessel image is most beneficial to detect retinal diseases. Many automated techniques are widely used for retinal vessels segmentation which is a primary element of computerized diagnostic systems for retinal diseases. The automatic vessels segmentation may lead to more challenging task in the presence of lesions and abnormalities. This paper briefly describes the various publicly available retinal image databases and various machine learning techniques. State of the art exhibited that researchers have proposed several vessel segmentation methods based on supervised and supervised techniques and evaluated their results mostly on publicly datasets such as digital retinal images for vessel extraction and structured analysis of the retina. A comprehensive review of existing supervised and unsupervised vessel segmentation techniques or algorithms is presented which describes the philosophy of each algorithm. This review will be useful for readers in their future research.     

A fast procedure for the estimation of the hydrogen storage capacity by cryoadsorption of metal-organic framework materials from their available porous properties

In order to identify the best porous materials for the cryogenic physisorption of hydrogen, high-throughput calculations are performed starting, i.e., from the collected information in crystallographic databases. However, these calculations, like molecular simulations, require specific training and significant computational cost. Herein, a relatively simple procedure is proposed to estimate and compare hydrogen uptakes at 77 K and pressure values from 40 bar starting from the porous properties of MOF materials, without involving simulation tools. This procedure uses definitions for adsorption and considers the adsorbed phase as an incompressible fluid whose pressure-density change is that for the liquid phase at 19 K. For the 7000 structures from the CoRE MOF database, the average error of the predictions is only of 1% from reference values at 100 bar, with an SD of ±8%. This accuracy is lower than that from simulation tools, but involving lower computational cost and training.     

ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation

In this paper, we propose a novel formulation extending convolutional neural networks (CNN) to arbitrary two-dimensional manifolds using orthogonal basis functions called Zernike polynomials. In many areas, geometric features play a key role in understanding scientific trends and phenomena, where accurate numerical quantification of geometric features is critical. Recently, CNNs have demonstrated a substantial improvement in extracting and codifying geometric features. However, the progress is mostly centred around computer vision and its applications where an inherent grid-like data representation is naturally present. In contrast, many geometry processing problems deal with curved surfaces and the application of CNNs is not trivial due to the lack of canonical grid-like representation, the absence of globally consistent orientation and the incompatible local discretizations. In this paper, we show that the Zernike polynomials allow rigourous yet practical mathematical generalization of CNNs to arbitrary surfaces. We prove that the convolution of two functions can be represented as a simple dot product between Zernike coefficients and the rotation of a convolution kernel is essentially a set of 2 × 2 rotation matrices applied to the coefficients. The key contribution of this work is in such a computationally efficient but rigorous generalization of the major CNN building blocks.     

Constraint effect caused by graphene on in situ grown Gr@WO3 -nanobrick hybrid material

This work reported the abnormal constraint effect of graphene on the structural and optical properties of in situ grown Gr@WO₃ nanobrick (NB) hybrid nanomaterials. Stable hybrid Gr@WO₃ nanomaterials were synthesized through a one-step hydrothermal method, in which different graphene contents (0.1, 0.3 and 0.5 wt%) were directly introduced into the precursor solution of tungsten oxide. The existence of graphene in the nucleation phase of tungsten oxide NB decreased the crystallite size from 49.5 nm to 45.3 nm, increased the microstrain from 1.10% to 1.44% and the optical bandgap of the hybrid samples from 2.68 eV to 2.78 eV, and reduced the radiative recombination efficiency of tungsten oxide NB. The hybridization between graphene and tungsten oxide NBs was confirmed by X-ray diffraction and Raman scattering analysis. The optical properties of materials were studied based on the absorbance and diffuse reflectance spectra. In this work, we also proposed a reliable method to estimate the optical bandgap of the sample from the diffuse reflectance spectrum. These findings would introduce an alternative method of fabrication and enhance the understanding of in situ hybrid materials.     

电爆喷涂粒子的约束调控机制及对沉积行为的影响

采用对喷涂粒子进行槽内约束的电爆喷涂方法,研究了喷涂粒子在垂直槽中的约束调控机制及其沉积行为。结果表明:约束深度达20mm时,即喷涂距离为丝径的100倍时,仍可获得连续、均匀的涂层。约束宽度从6mm减小至2 mm,涂层表面呈现出由粗糙的"丘壑状"形貌向均匀的"薄饼状"形貌逐渐过渡的演变趋势,且涂层厚度显著提高;能量密度从57 J/mm~3提高至152 J/mm~3,同样可提高涂层厚度并改善涂层均匀性。对喷涂粒子进行收集,发现减小约束宽度和提高能量密度均可有效细化喷涂粒子并使喷涂粒子粒径分布更加均匀。分析认为,由焦耳加热导致的"热膨胀效应"和击穿电弧伴生的"压力效应"共同决定电爆冲击波和喷涂粒子的形成,并随能量密度和约束参数的变化,对喷涂粒子表现出不同的约束调控作用,使其沉积行为产生显著差异。     

数据挖掘与数据库知识发掘

介绍了数据库析近发展起来的数据挖掘（MD）和数据库发掘（KDD）技术，阐述了DM和KDD之间的区别和联系，综述了DM技术的常用方法，剖析了在处理DM问题时应注意的问题，并指出DM技术的优势和希望所在，最后对这两门交叉学科的发展提出了建议。     

露天矿山特殊地质地形条件下的岩石穿孔爆破方案优化

在露天矿山岩土工程爆破中 ,为减少大块率高、大面积根底、边坡失稳等现象 ,进行了特殊地质地形条件下的岩石爆破机理的研究、爆破方案的选择及穿爆参数的优化。对露天矿山开采中遇到的环包、斜坡段、边帮、洼地及溶洞区等复杂地质地形的爆破工程 ,进行了装药结构及微差爆破参数选择的试验和探索 ,克服了岩石爆破过程中的夹制作用 ,大大降低了大块率 ,减少了根底现象 ,改善了爆破效果。     

近岸岛屿联合作战船艇装备保障力量部署方法

为实现对船艇装备保障力量部署问题的定量研究,采用约束满足问题的理论与方法,通过对近岸岛屿联合作战中船艇装备保障力量部署体系的分析和对保障阶段、保障区域、保障节点的划分及相关参数的简化与设置,构建了数学模型。该方法对战时船艇装备保障力量的部署具有一定的指导作用。     

Analytical design of an industrial two-term controller for optimal regulatory control of open-loop unstable processes under operational constraints

This paper proposes a novel optimization-based approach for the design of an industrial two-term proportional-integral (PI) controller for the optimal regulatory control of unstable processes subjected to three common operational constraints related to the process variable, manipulated variable and its rate of change. To derive analytical design relations, the constrained optimal control problem in the time domain was transformed into an unconstrained optimization problem in a new parameter space via an effective parameterization. The resulting optimal PI controller has been verified to yield optimal performance and stability of an open-loop unstable first-order process under operational constraints. The proposed analytical design method explicitly takes into account the operational constraints in the controller design stage and also provides useful insights into the optimal controller design. Practical procedures for designing optimal PI parameters and a feasible constraint set exclusive of complex optimization steps are also proposed. The proposed controller was compared with several other PI controllers to illustrate its performance. The robustness of the proposed controller against plant-model mismatch has also been investigated.