Learning shape and texture progression for young child face aging

Face aging (FA) for young faces refers to rendering the aging faces at target age for an individual, generally under 20s, which is an important topic of facial age analysis. Unlike traditional FA for adults, it is challenging to age children with one deep learning-based FA network, since there are deformations of facial shapes and variations of textural details. To alleviate the deficiency, a unified FA framework for young faces is proposed, which consists of two decoupled networks to apply aging image translation. It explicitly models transformations of geometry and appearance using two components: GD-GAN, which simulates the Geometric Deformation using Generative Adversarial Network; TV-GAN, which simulates the Textural Variations guided by the age-related saliency map. Extensive experiments demonstrate that our method has advantages over the state-of-the-art methods in terms of synthesizing visually plausible images for young faces, as well as preserving the personalized features.     

Mineralization of Para-Chlorobenzoic Acid in Water by Cobalt-Incorporated MCM-41 Catalyzed Ozonation

Cobalt-incorporated MCM-41(Co-MCM-41) was used as a heterogeneous catalyst for the ozonation of para-chlorobenzoic acid (p-CBA) in aqueous solution. Cobalt oxide supported on MCM-41(Co/MCM-41) was synthesized for comparison. Their textural properties were elucidated by various characterization techniques to understand the relationship between surface texture and catalytic activity. TOC removal at 60 min reached 91% with Co-MCM-41, 83% with Co/MCM-41 and only 52% with ozone alone, respectively. Observations from diffuse reflection spectroscopy demonstrated that different metal phases were formed in these cobalt-modified molecular sieves samples. Radical scavenger experiments indicated the formation of hydroxyl radicals that were responsible for the effective degradation of p-CBA. An integrated approach to the catalytic mechanism was proposed by considering the variation of pH in the course of ozonation as well as its subsequent influence on the dissociation of targeted compounds and surface charge of the catalyst. In the reusability experiments, the reused Co-MCM-41 was able to regain the same catalytic capability as the fresh one within 5 cycles. X-ray photoelectron spectroscopy results indicated that a part of Co²⁺ was oxidized to Co³⁺ after oxidation reaction.     

Sparsity-inspired image reconstruction for electrical capacitance tomography

We present a new image reconstruction method for Electrical Capacitance Tomography (ECT). ECT image reconstruction is generally ill-posed because the number of measurements is small whereas the image dimensions are large. Here, we present a sparsity-inspired approach to achieve better ECT image reconstruction from the small number of measurements. Our approach for ECT image reconstruction is based on Total Variation (TV) regularization. We apply an efficient Split-Bregman Iteration (SBI) approach to solve the problem. We also propose three metrics to evaluate image reconstruction performance, i.e., a joint metric of positive reconstruction rate (PRR) and false reconstruction rate (FRR), correlation coefficient, and a shape and location metric. The results on both synthetic and real data show that the proposed TV-SBI method can better preserve the edges of images and better resolve different objects within reconstructed images, as compared to a representative state-of-the-art ECT image reconstruction algorithm, Projected Landweber Iteration with Linear Back Projection initialization (LBP-PLI).     

A TVD Scheme for Incompressible Flow Coupled With Different Turbulence Modles on A Ground-Mounted Square-RIB Flow

A finite-difference Total Variation Diminishing (TVD) numerical simulation model for coupling the Reynolds Averaged Navier-Stokes (RANS) equations, pressure-relative continuity equation and various k-ε turbulence models was developed to solve the incompressible flow based on the pseudo-compressibility method. The hyperbolicity of all these equations was studied and the discretization of the fully coupling equations with all the primal variables and source terms were made in this article. Numerical simulation for modeling the flow around a ground-mounted square rib was implemented and validated by comparing with the published wind tunnel experimental data. It is shown that such a numerical simulation method with a proper turbulence model has a very good accuracy to simulate the flow around a surface-mounted rib. It is concluded that the Renormalization Group (RNG) and Chen-Kim k-ε turbulence models have much better ability to predict the characteristics of the vortex structure and flow separation than the standard k-ε model.     

渤中28－1（BZ28－1）油田N6H水平井动态分析

本文以渤中２８－１（ＢＺ２８－１）油田Ｎ６Ｈ水平井为例，从多方面对该井的动态和产能变化进行了系统分析，所用的方法对水平井动态分析有一定的指导意义。     

Employing fractals and FEM for detailed variation analysis of non-rigid assemblies

Many studies on non-rigid assemblies, or assemblies of non-rigid components, suggest that the component variation affects the assembly dimensional quality. However, little is known about how the variation of surface micro-geometry of assembly components influences the assembly dimensional quality. In this paper, a new method based on the fractal geometry and finite element method (FEM) is proposed to study such an influence. In the new method, a special fractal function, named the Weierstrass–Mandelbrot (W–M) function, is used to extract and represent the characteristics of surface micro-geometry of assembly components. FEM is applied to analyze the deformation of non-rigid assemblies by integrating the variation of component micro-geometry. The sensitivity matrix between the component variation and assembly variation is obtained by using the existing influence coefficients method. It is found that contributions of the surface micro-geometry of assembly components to the final variation of non-rigid assemblies could be substantial under certain conditions. The proposed method is illustrated through a case study on an assembly of two flat sheet metal components under different fixture-releasing conditions.     

Advancements in the design and validation of an air pollution integrated assessment model for Spain

This paper describes the design and application of the Atmospheric Evaluation and Research Integrated model for Spain (AERIS). Currently, AERIS can provide concentration profiles of NO₂, O₃, SO₂, NH₃, PM, as a response to emission variations of relevant sectors in Spain. Results are calculated using transfer matrices based on an air quality modelling system (AQMS) composed by the WRF (meteorology), SMOKE (emissions) and CMAQ (atmospheric-chemical processes) models. The AERIS outputs were statistically tested against the conventional AQMS and observations, revealing a good agreement in both cases. At the moment, integrated assessment in AERIS focuses only on the link between emissions and concentrations. The quantification of deposition, impacts (health, ecosystems) and costs will be introduced in the future. In conclusion, the main asset of AERIS is its accuracy in predicting air quality outcomes for different scenarios through a simple yet robust modelling framework, avoiding complex programming and long computing times.     

基于PowerBuilder的S-P表差异系数计算与算法实现

S-P表评价法是计算机教育测量中一种重要的方法,差异系数是S-P表分析评价中反映S线和P线之间不一致程度的重要指标,通过计算差异系数,可以取得关于被测对象整体情况有价值的信息,为教学效果的改善提供依据。本文基于PowerBuilder软件提出实现算法,并给出流程图和主要源代码。     

双偏差双空间局部方向模式的人脸识别

针对局部方向数（Local Directional Number pattern,LDN）类方法的人脸识别通常仅利用梯度信息且信息提取不充分的问题,提出双偏差双空间局部方向模式（Double Variation and Double Space Local Directional Pattern,DVDSLDP）。该方法首先通过像素采样扩大关联邻域信息,再利用边缘响应算子和局部前后向差分获得的相对偏差和绝对偏差以构成双偏差信息,充分挖掘局部梯度空间信息;然后与所提取像素的灰度空间特征级联融合,以获得双空间特征,再进行模式编码得到特征图;最后依据信息熵加权级联各子块直方图获得人脸特征向量,使用最近邻分类器完成分类。针对ORL、Yale、AR人脸库和相关典型方法的对比结果表明：利用双空间特征的融合,获得了轮廓更清晰、纹理更丰富的编码特征图,在ORL和Yale库上分别达到了99.50%、94.44%的识别率,尤其是在训练样本较少时性能提升明显;该方法针对AR库的表情、光照、遮挡A和遮挡B子集分别达到了99.67%、100%、99.33%和97.33%的识别率,明显高于其他方法,表现出良好的鲁棒性。     

航海雷达测波系统中降雨观测资料的分析与处理

在利用航海雷达进行海浪观测时,降雨的出现会改变海面粗糙度,从而导致雷达所接收到的回波信号强度发生改变。通过对实际海浪观测资料的分析,提出一种对航海雷达测波系统中降雨观测资料的分析与处理方法,运用雷达回波影像的统计特性-均值和变异系数作为降雨与非降雨雷达影像的分类标准,然后利用中值滤波算法对降雨观测资料进行滤波处理,以降低降雨对回波影像的影响,同时探讨了中值滤波算法的适用性。实验结果表明本算法具有较强的鲁棒性和较高的通用性。