基于AHP和熵权法组合权重的京津冀地区水循环健康模糊综合评价

在阐明健康水循环内涵的基础上,构建涵盖水资源、水环境、水生态、水效用和水灾害等5个准则层,包括降水量、人均水资源量、亩均水资源量、地下水供水占比等18个指标的水循环健康评价指标体系,采用层次分析法与熵权法组合赋权,运用模糊综合评价法评价了京津冀地区2009-2018年水循环健康状况。评价结果显示:近10年京津冀地区水循环健康状况总体呈逐步向好趋势,北京、天津和河北水循环健康等级分别为亚健康、一般和亚病态;中水供水率、平原地下水埋深下降量、河湖调蓄能力、万元工业增加值用水量等是影响京津冀地区健康水循环的主要指标,但各指标间发展不平衡,仍有较大提升空间。     

渭河拦河闸闸室抗震安全复核

以渭河拦河闸为例,基于ADINA有限元分析软件,建立拦河闸三维有限元模型,采用振型分解反应谱法对闸室结构进行地震动响应计算分析,并根据计算结果对拦河闸进行抗震安全评价。计算结果表明：拦河闸闸室结构前5阶振型主要体现为横梁和机架桥结构的振动,符合一般规律;边孔横梁与机架桥联接部位以及机架桥与闸墩联接部位出现了较大拉应力,其最大拉应力数值超过了混凝土动态抗拉强度标准值,但考虑局部配筋量后,拉应力数值满足安全需求;在地震作用最不利工况下,拦河闸整体闸室结构抗滑稳定安全因数为1.68,满足安全需求;拦河闸抗震安全满足标准要求,其抗震等级评定为A级。     

基于深度神经网络的高位滑坡范围预测

以贵州尖山营滑坡为工程背景,通过对深度学习的总结与分析,建立多层感知器模型以对该滑坡危险区范围进行非线性预测研究。通过对深度神经网络算法的优化,构建64-128-32-1四层多层感知器模型,并以滑坡最大高差、滑坡体积、滑源区坡度、坡脚坡度、地层倾角作为输入量,以滑坡最大水平运动距离作为输出量对该模型进行训练,实现影响因素与运动距离的非线性映射。根据对贵州省尖山营滑坡调查和研究,尖山营滑坡区域面积约648 700 m2,体积约1 200万 m3,属于特大型滑坡。依据最优模型对该滑坡进行滑距预测,滑坡平面直线距离1 769 m区域内为危险区域。     

河套盆地晚更新世以来黄河改道对高砷地下水分布的控制机制

针对河套盆地开展了历时多年的水文地质环境地质调查,利用采集的298组浅层地下水样品以及收集并甄选的382个水文地质钻孔记录分析发现:河套盆地内95%的高砷地下水(As质量浓度10μg/L)集中在黄河决口、改道形成的古河道影响带及黄河决口扇裙带。其中,盆地南部首次发现了较为集中的高砷地下水,其分布范围与黄河北岸的晚更新世以来黄河决口、改道形成的4个大型决口扇,在空间上有着良好的对应关系。黄河古河道带及决口扇裙带表现为较强的还原环境及蒸发浓缩作用以及较弱的地表水补给强度。受pH值、含铁氧化物的还原性溶解等因素影响,决口扇裙带浅层地下水中砷的含量略低于平原中部黄河古河道带。结果表明:黄河古河道带及决口扇裙带特定的沉积环境控制着地下水的水文地球化学过程,进而对高砷地下水的分布具有决定性的作用。     

Turbulent Details Simulation for SPH Fluids via Vorticity Refinement

A major issue in smoothed particle hydrodynamics (SPH) approaches is the numerical dissipation during the projection process, especially under coarse discretizations. High‐frequency details, such as turbulence and vortices, are smoothed out, leading to unrealistic results. To address this issue, we introduce a vorticity refinement (VR) solver for SPH fluids with negligible computational overhead. In this method, the numerical dissipation of the vorticity field is recovered by the difference between the theoretical and the actual vorticity, so as to enhance turbulence details. Instead of solving the Biot‐Savart integrals, a stream function, which is easier and more efficient to solve, is used to relate the vorticity field to the velocity field. We obtain turbulence effects of different intensity levels by changing an adjustable parameter. Since the vorticity field is enhanced according to the curl field, our method can not only amplify existing vortices, but also capture additional turbulence. Our VR solver is straightforward to implement and can be easily integrated into existing SPH methods.     

Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS

This study proposes a novel design to systematically optimize the parameters for the adaptive neuro-fuzzy inference system (ANFIS) model using stochastic fractal search (SFS) algorithm. To affirm the efficiency of the proposed SFS-ANFIS model, the predicting results were compared with ANFIS and three hybrid methodologies based on ANFIS combined with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO). Accurate prediction of uniaxial compressive strength (UCS) is of great significance for all geotechnical projects such as tunnels and dams. Hence, this study proposes the use of SFS-ANFIS, GA-ANFIS, DE-ANFIS, PSO-ANFIS, and ANFIS models to predict UCS. In this regard, the fresh water tunnel of Pahang–Selangor located in Malaysia was considered and the requirement data samples were collected. Different statistical metrics such as coefficient of determination (R²) and mean absolute error were used to evaluate the models. Referring to the efficiency results of SFS-ANFIS, it can be found that the SFS-ANFIS (with the R² of 0.981) has higher ability than PSO-ANFIS, DE-ANFIS, GA-ANFIS, and ANFIS models in predicting the UCS.

     

基于方向场正则化的线描画生成算法

图像风格转化在计算机视觉领域广受关注, 其研究目标在于将输入图像利用计算机转化为具有某种特定艺术风格的图像. 线描画作为一种古老的画种, 它通过简单的线条勾勒物体的轮廓, 具有简约、抽象的风格. 本文提出一种基于方向场正则化的线描画生成算法, 该算法由4部分构成: 1)采用非局部平均滤波对输入图像进行预处理; 2)计算输入图像的方向场, 并基于自表示的思想对方向场进行Tikhonov正则化, 为了提高运算速度, 采用Sherman-Morrison-Woodbury公式来对正则化算法进行加速; 3)以正则方向场作为引导, 对预处理图像作高斯差分滤波; 4)根据人类视觉系统的非线性特点, 设计感知阈值(Perceptual thresholding)算法来对高斯差分滤波的结果进行阈值处理, 得到二值化的线描画图像. 仿真实验表明, 该算法可将输入图像转化为线条流畅且能有效表达输入图像主要信息的线描画图像.     

A conditional classification recurrent RBM for improved series mid-term forecasting

In the context of human-robot and robot-robot interactions, the better cooperation can be achieved by predicting the other party’s subsequent actions based on the current action of the other party. The time duration for adjustment is not sufficient provided by short term forecasting models to robots. A longer duration can by achieved by mid-term forecasting. But the mid-term forecasting models introduce the previous errors into the follow-up forecasting and amplified gradually, eventually invalidating the forecasting. A new mid-term forecasting with error suppression based on restricted Boltzmann machine(RBM) is proposed in this paper. The proposed model can suppress the error amplification by replacing the previous inputs with their features, which are retrieved by a deep belief network(DBN). Furthermore, a new mechanism is proposed to decide whether the forecasting result is accepted or not. The model is evaluated with several datasets. The reported experiments demonstrate the superior performance of the proposed model compared to the state-of-the-art approaches.

     

Intrinsically patterned electrical systems: physical requirements and experimental demonstration

Microsystem Technologies - This paper introduces a method of replicating electrical circuits through a series of specific requirements as part of a design methodology referred to as Intrinsically...     

Wheel hub customization with an interactive artificial immune algorithm

With the transformation from traditional manufacturing to intelligent manufacturing, customer-oriented personalized customization has gradually become the main mode of production. Interactive algorithms determine the pros and cons of the solution via customers which can make customers better participants in the customization process. However, if the population size is expanded and the number of evolutionary iterations is too high, frequent interactions are likely to cause customer fatigue. This paper proposes an adaptive interactive artificial immune algorithm based on improved hierarchical clustering. This algorithm uses the improved hierarchical clustering algorithm to optimize generation of the initial antibodies and applies the affinity calculation method based on customer intention, adaptive crossover and mutation operators, and a multisolution reservation method based on hybrid selection strategy to the artificial immune algorithm. Via empirical research on the customized operational data of wheel hubs, the proposed method effectively solves the problem of customer fatigue, significantly improves the convergence speed of the algorithm and reduces the time cost.