全域物流跟踪系统中信号采集技术的仿真研究

现代物流,是要实现物流工程系统的信息化、自动化、网络化、智能化和满足社会生产实用化的要求.通过构建高效物流平台,依据互联网技术使货物的生产进程、运输行程以及存取过程的全域信息共享.利用ZigBee无线通信技术构建了全域物流跟踪平台的网络通讯结构,以物流企业、生产企业的生产车间为单位进行设计安装.每个单位都组建一个网关、若干个Zig,Bee与传感器结合的无线读写节点,并依据LabVIEW的仿真输入通道辅助采集由电涡流传感器提取的全域物流内货物、车辆的有关信号.最后实现了互联网平台与全域物流系统中多节点信号采集的高效衔接.     

面向Java微服务系统的透明请求追踪及采样方法

微服务因其敏捷的开发方式、快速的部署方式,逐渐成为以云为基础的软件系统的主流架构方式之一.但是,微服务系统结构复杂,动辄上百个服务实例,而且服务之间的调用关系异常复杂,当微服务系统中出现异常时,难以定位故障根因.为了解决这个问题,端到端请求追踪(trace)成为微服务系统监控的标配.然而现有的分布式请求追踪实现方式对应用程序具有侵入性,严重依赖于开发者对请求追踪的经验,无法在运行时控制追踪功能的开启和关闭.这些不足不仅会增加开发者的负担,而且限制了分布式请求追踪技术的实际应用.设计并实现对程序开发者透明的请求追踪系统Trace++,能够自动生成追踪代码,利用动态代码插桩技术将追踪代码注入到运行中的应用程序. Trace++对程序低侵入,对开发者透明,能够灵活控制追踪功能的开启和关闭.此外, Trace++的自适应采样方法有效减少了请求追踪产生的开销.在微服务系统TrainTicket上的实验结果证明, Trace++能够准确发现服务依赖关系.在开启请求追踪时,性能开销接近于源代码插桩,在关闭请求追踪时无性能开销.此外, Trace++的自适应采样方法在采样到具有代表性样本的同时减少了8...     

运用光线追迹算法的高温物体视觉三维测量

对于高温下的视觉三维测量,如何削弱高温辐射以及成像畸变对构件测量产生的影响,在航空航天和汽车制造等领域 具有极其重要的意义。 基于黑体辐射理论分析了物体在不同温度下的辐射特性,确定了成像光谱范围,建立了高温双目立体视 觉测量模型,运用有限元建模仿真与光线追迹算法相结合的方法分析光线在高温场中传播的偏折规律,并分析了温度和光线波 长对光线偏折量的影响。 最后,通过搭建双目立体视觉测量系统,使用 CMOS 相机、窄带滤光片和平行光源组成的测量系统削 弱高温辐射光的干扰,对分析结果进行实验验证。 实验结果表明,测量系统能够在高温下获得清晰的图像特征;光线追迹算法 分析的结果和实验数据有很好的一致性;相较于常温测量结果,800 ℃ 以下视觉测量结果的误差小于 0. 28 mm,球间距测量标 准差小于 0. 11 mm,能够满足构件在高温环境下的测量需求。     

高铁站场景2 100 MHz信道仿真与传播特性分析

随着铁路通信系统的发展需要和第五代移动通信技术(5G)的快速推进,5G-Railway (5G-R)有望成为铁路通信系统的下一代标准。2 100 MHz作为5G-R的潜在频段,其在经典铁路场景中的传播特性亟待研究。构建符合场景典型特征的三维模型,基于射线跟踪仿真法研究半封闭式高铁站台场景2 100 MHz无线信道的传播特性。在车站立柱、扶梯旁部署发射机,定义传播模型参数,分别在手持移动设备与车载移动台处进行大量仿真。计算路径损耗、时延扩展、角度扩展等信道特性,为5G-R部署的覆盖功率预测和网络规划与优化提供参考,弥补该频段在铁路应用方面研究的短缺。     

基于高密度子网格光线追迹的三维发射层析重建算法

三维(three- dimensional,3D) 发射层析技术(emission computerized tomography,ECT) 是一种简单、高效且准确的燃 烧场3D成像与检测技术,其中权重矩阵的计算 精度决定了层析重建的精度和质量。本文研究了一种基于高密度子网格光线追迹的权重矩阵 计算方法, 将被测区域划分为密度更高的子网格,并根据相机成像模型实现光线追迹,以确定离散网格 对投影像素 的权重因子。数值模拟和燃烧火焰重建实验表明该算法具有较高的精度和计算效率。该研究 对于3D发射层析技术的实用化具有重要的理论意义。     

A Novel Contour Tracing Algorithm for Object Shape Reconstruction Using Parametric Curves

Parametric curves such as Bézier and B-splines, originally developed for the design of automobile bodies, are now also used in image processing and computer vision. For example, reconstructing an object shape in an image, including different translations, scales, and orientations, can be performed using these parametric curves. For this, Bézier and B-spline curves can be generated using a point set that belongs to the outer boundary of the object. The resulting object shape can be used in computer vision fields, such as searching and segmentation methods and training machine learning algorithms. The prerequisite for reconstructing the shape with parametric curves is to obtain sequentially the points in the point set. In this study, a novel algorithm has been developed that sequentially obtains the pixel locations constituting the outer boundary of the object. The proposed algorithm, unlike the methods in the literature, is implemented using a filter containing weights and an outer circle surrounding the object. In a binary format image, the starting point of the tracing is determined using the outer circle, and the next tracing movement and the pixel to be labeled as the boundary point is found by the filter weights. Then, control points that define the curve shape are selected by reducing the number of sequential points. Thus, the Bézier and B-spline curve equations describing the shape are obtained using these points. In addition, different translations, scales, and rotations of the object shape are easily provided by changing the positions of the control points. It has also been shown that the missing part of the object can be completed thanks to the parametric curves.     

Quasiconvolutional smoothing of polyhedra

This paper describes a method for rounding edges and corners of arbitrary polyhedra that uses a fast approximation to convolutional filtering. The approximation defines an implicit surface, which is rendered with a specialised ray-tracing algorithm. By varying the radius of the smoothing filter, a wide range of effects can be obtained, from perfect polyhedra to blobby models. Small rounding radii give polyhedra a softer, more natural look, with edges well delineated by shadows and highlights. The rounded surfaces are much easier to specify and compute than those obtained by traditional filleting and surface-blending techniques, and are far more economical in storage.     

Traceable content protection based on chaos and neural networks

In this paper, a media content encryption/decryption algorithm is designed based on a chaos system and neural networks, which generates random sequences with chaos, and encrypts or decrypts media contents with neural networks in a parallel way. In this scheme, different decryption keys can be used to recover the media content into different copies. That is, the decryption operation gets the content containing certain random sequence that can be used as the identification. With respect to this property, the scheme is used for secure content distribution. Taking the audio content for example, it is encrypted by a key at the sender side and decrypted by different keys at the receiver side. The differences between decryption keys lead to different decrypted audio copies. If one customer distributes his copy to other unauthorized customers, the chaotic sequence contained in the copy can tell the illegal customer. The performances, including security, imperceptibility and robustness, are analyzed, and some experimental results are given to show the scheme's practicability.     

多Agent的DDoS源地址追踪方法研究

对数据包标记的各种技术进行了深入研究,分析它们存在的问题,基于上述的研究,提出一种多Agent的追踪方法,以解决传统方法存在的重构需要大量数据包,追踪鲁棒性和实时性差等问题.该方法采用并行分布式的结构,将整个追踪区域分成若干自治网络,在各自治网络内独立采用动态的标记概率等算法,同时设立追踪Agent进行自治区内的追踪,最终将由追踪管理器收集各追踪Agent的部分攻击路径并重构出整个攻击路径.理论分析表明,该方法降低了计算量和误报率,增强了追踪的实时性和准确性等.     

嵌入式疲劳驾驶监测系统的设计与实现

疲劳驾驶是引发恶性交通事故的重要原因之一,驾驶员疲劳监测技术近年来已逐步成为图像处理领域的一个研究热点。基于改进的和提出的新算法,设计了一个嵌入式驾驶员疲劳监测系统。由可见光/近红外摄像头采集视频,首先采用Haar特征的级联分类器从图像中检测出人脸区域,并用钻石搜索法跟踪人脸区域;然后提取一个新的图像差分统计特征,并结合3个准则判断疲劳状态;最后采用全变分模型消除图像中的非均匀光照,以便实现鲁棒的人眼定位和人脸识别。实验测试结果表明,本系统的疲劳状态监测准确率达到95%以上。