铁道沿线边坡滑坡灾害监测系统设计

本文设计了基于ZigBee技术的铁道沿线边坡滑坡灾害监测系统.系统利用相位式激光测距传感器对边坡滑坡体地表位移量进行采集,通过ZigBee网络将采集信息发送到协调器,协调器通过串口与4G通信模块相连,依靠4G网络将信息远程传输至地面监控中心.通过实验室测试证明,该系统测量精度高、运行稳定,具有较高的应用价值.     

A novel NMF-based authentication scheme for encrypted speech in cloud computing

Multimedia Tools and Applications - Authentication of encrypted speeches is a technique that can judge the integrity of encrypted speech in cloud computing, even the encrypted speeches have been...     

Broadband high‐gain slot grid array antenna for millimeter wave applications

A broadband high‐gain slot grid array antenna (SGAA) is proposed in this paper. Based on the electromagnetic complementarity principle, the metal elements in the traditional microstrip grid array antenna (GAA) are replaced by a wide slot element. Compared with the GAA, the proposed SGAA achieves broadband and high‐gain performance. In order to demonstrate this concept, a prototype with 9‐element SGAA is designed using wide slot radiation elements and fabricated on Rogers 5880 printed circuit board (PCB) substrates, which is fed by a 50 Ω coaxial probe. The measured and simulated results show a good agreement. The proposed SGAA achieves a measured peak gain of 14.8 dBi at 26.0 GHz, a 10‐dB impedance bandwidth from 22.2 to 28.5 GHz with a fractional bandwidth of 24.9%. These results indicate that the SGAA is with high performance and it is suitable for the fifth‐generation (5G) millimeter wave (mmW) wireless communication system.     

An automatic 2D to 3D video conversion approach based on RGB-D images

3D movies/videos have become increasingly popular in the market; however, they are usually produced by professionals. This paper presents a new technique for the automatic conversion of 2D to 3D video based on RGB-D sensors, which can be easily conducted by ordinary users. To generate a 3D image, one approach is to combine the original 2D color image and its corresponding depth map together to perform depth image-based rendering (DIBR). An RGB-D sensor is one of the inexpensive ways to capture an image and its corresponding depth map. The quality of the depth map and the DIBR algorithm are crucial to this process. Our approach is twofold. First, the depth maps captured directly by RGB-D sensors are generally of poor quality because there are many regions missing depth information, especially near the edges of objects. This paper proposes a new RGB-D sensor based depth map inpainting method that divides the regions with missing depths into interior holes and border holes. Different schemes are used to inpaint the different types of holes. Second, an improved hole filling approach for DIBR is proposed to synthesize the 3D images by using the corresponding color images and the inpainted depth maps. Extensive experiments were conducted on different evaluation datasets. The results show the effectiveness of our method.

     

复杂表面小尺度凝结现象真实感仿真

凝结是自然界中很常见的一种现象,其真实感仿真对虚拟现实、影视特效及游戏娱乐等领域都有重要的意义.针对传统的基于物理的仿真方法难以保持凝结小尺度液滴细节的问题,提出一种基于光滑粒子流体动力学与自适应流体隐式粒子法耦合的仿真方法.首先基于光滑粒子流体动力学离散建模空气的热传导,并辅以相对湿度模型和露点描述相变过程;然后结合基于八叉树的自适应背景网格和流体隐式粒子法仿真凝结液滴,突出了小尺度液滴高精度的细节;最后引入表面张力、黏附力与阻力,逼真地仿真了复杂固体表面上液滴的运动.实验结果表明,该方法可以真实、高效地反映复杂固体表面的凝结现象.     

可见光-远红外图像的多模态能见度深度学习模型

为了增强能见度深度学习模型在小样本条件下的准确率和鲁棒性,提出一种基于可见光-远红外图像的多模态能见度深度学习方法.首先,利用图像配准获取视野范围与分辨率均相同的可见光-远红外输入图像对;然后,构造三分支并行结构的多模态特征融合网络;分别在可见光图像、远红外图像及其累加特征图中提取不同性质的大气特征,各分支的特征信息通过网络结构实现模态互补与融合;最后在网络末端输出图像场景所对应的能见度的等级.采用双目摄像机收集不同天气情况下的室外真实可见光-远红外图像作为实验数据,在不同性能指标、多角度下的实验结果表明,与传统单模态能见度深度学习模型相比,多模态能见度模型可显著提高小样本条件下能见度检测的准确率和鲁棒性.     

以“胡焕庸线”为界的中国东西部净初级生产力变化分析

推动区域均衡协调与可持续发展是我国的重大战略之一,植被净初级生产力（NPP）对生态环境是否可持续发展起着重要作用。以“胡焕庸线”为界把我国分为东、西部,从像元尺度和县级行政单元研究分析我国NPP、人口以及人均NPP时空变化,尤其是东、西部的区域差异。结果表明：我国人口增长较快,从1982年的10.05亿增长到2017年的13.95亿,以“胡焕庸线”为界的西部占比由5.91%增长到6.42%;我国NPP整体呈现增长的趋势,总量由1982年的2.69 Pg C增长到2015年的3.24 Pg C,增长率为16.60 Tg C/a,其中东部增长率12.30 Tg C/a是西部（4.30 Tg C/a）的近3倍;西部人均NPP远大于东部与全国,1982、2000、2010、2017年西部与全国人均NPP持续处于下降的状态,但下降速率略有放缓,东部人均NPP则在2017年首次出现增长。据此可知我国整体生态环境处于恢复的状态,但不同区域之间差异较大,因此在相关政策制定方面应该充分考虑区域差异性,以实现我国生态环境的区域协调发展。     

一种基于分段偏最小二乘模型的土壤重金属遥感反演方法

土壤中重金属由于其毒性而成为最有害的环境污染物之一,利用遥感进行土壤重金属检测和分布制图是目前最为高效的手段。采用哨兵二号（Sentinel-2）多光谱影像与实测样品光谱数据,对山西省铜矿峪铜矿尾矿库及其周边农田土壤的铜（Cu）含量进行估算,利用68个土壤样品的反射光谱,优选出适合土壤铜含量预测的波段,结合分段偏最小二乘法（Piecewise Partial Least Squares Regression,P-PLSR）,对土壤铜含量进行估算,将模型用于Sentinel-2影像获得了Cu含量的空间分布。通过P-PLSR对实测样品光谱建模反演Cu含量的决定系数（R²）为0.89,预测偏差比（RPD）为2.82;利用Sentinel-2多光谱影像获得了该区域Cu元素含量空间分布,其Cu含量的估算精度R²为0.74,RPD为1.73,Cu含量高值区空间分布与尾矿库关系密切。Sentinel-2多光谱数据具有高空间分辨率（10、20和60 m）、高时间分辨率和幅宽大（290 km）等优势,通过敏感波段选择并建立反演模型,可实现大范围土壤环境制图。     

高职院校计算机应用技术专业群建构与特色发展研究

随着职业教育改革的不断深化,高职院校专业群建设势在必行.以汕尾职业技术学院计算机应用技术专业群建构为例,重点阐述产教对接的组群逻辑,介绍了如何将专业群建在产业链上,创新教育组织形态建立跨学科跨专业的产学研组织,对现有的教学组织进行整合和重构.构建校企命运共同体,建设高水平专业群,培养适应产业需求的复合型技术技能人才,形成人才培养新特色.     

Visualizing and understanding graph convolutional network

Multimedia Tools and Applications - The graph convolutional network (GCN), which can handle graph-structured data, is enjoying great interest in recent years. However, while GCN achieved remarkable...