互联网视听节目监测从业人员上网行为审计系统设计与实现

文章根据互联网视听节目监测从业人员的工作内容,提出上网行为审计系统的设计并加以实现,系统满足加强互联网信息安全的需求,同时规范上网行为、提高工作效率。系统通过用户准入、上网行为记录、流量控制、终端管理等技术手段,部署了一套完整的上网行为审计系统。本系统旨在解决互联网视听节目监测从业人员访问互联网所衍生的信息安全隐患、工作效率低等问题。     

A Complete Solution to Spectrum Problem for Five‐Vertex Graphs with Application to Traffic Grooming in Optical Networks

A G‐design of order n is a decomposition of the complete graph on n vertices into edge‐disjoint subgraphs isomorphic to G. Grooming uniform all‐to‐all traffic in optical ring networks with grooming ratio C requires the determination of graph decompositions of the complete graph on n vertices into subgraphs each having at most C edges. The drop cost of such a grooming is the total number of vertices of nonzero degree in these subgraphs, and the grooming is optimal when the drop cost is minimum. The existence spectrum problem of G‐designs for five‐vertex graphs is a long standing problem posed by Bermond, Huang, Rosa and Sotteau in 1980, which is closely related to traffic groomings in optical networks. Although considerable progress has been made over the past 30 years, the existence problems for such G‐designs and their related traffic groomings in optical networks are far from complete. In this paper, we first give a complete solution to this spectrum problem for five‐vertex graphs by eliminating all the undetermined possible exceptions. Then, we determine almost completely the minimum drop cost of 8‐groomings for all orders n by reducing the 37 possible exceptions to 8. Finally, we show the minimum possible drop cost of 9‐groomings for all orders n is realizable with 14 exceptions and 12 possible exceptions.     

激光测速系统中驱动电路的研究

激光测速技术的主要方法有脉冲法和相位法。由于激光相位法测速系统设计复杂,成本较高,因此只考虑脉冲法激光测速。针对脉冲法激光测速,提出了两种易于实现的脉冲驱动电路的设计方法,方法一基于555振荡电路和CPLD,主要利用了CPLD的逻辑延时;方法二完全基于CPLD的逻辑实现。逻辑分析和仿真结果证明,两种方法都可以驱动激光器工作,产生的驱动脉冲的频率和脉宽均可调节。     

MSComm串行端口通信技术应用分析

阐述了串行端口通信技术的发展,介绍了MSComm控件的部分属性,用流程图方式对MSComm控件的使用流程进行了详细说明,分析了MSComm控件在工程实例中的应用,论述了自动化数据采集、处理系统的工作原理,对系统的软硬件进行了设计,能够满足系统实时性、稳定性的需求.     

WDM疏导网络中一种新的多播业务路由算法

研究了波分复用(WDM)网状网中动态多播业务量疏导,提出一种新的辅助疏导模型,其可以描述当前网络资源状况和节点分光特点,并动态更新.进而提出一种有效的多播业务量疏导启发式算法(MGA),将业务的多播选路和波长分配同时完成.仿真表明,该算法在波长连续性限制、网络波长和节点收发器数目有限的情况下,具有较低网络阻塞率.     

从硬件角度优化GSM系统低话务小区的几种方法

本文通过对GSM系统低话务小区产生原因的分析,提出从硬件角度优化此类小区的几种方法.主要有覆盖调增、硬件排障、载波池技术使用等.     

光突发交换网络中最长队列优先调度组装机制

提出了光突发交换网络中的最长队列优先调度（LQF-SA）机制,将边缘节点的突发组装和突发调度两种技术紧密结合在一起.在现实网络中,业务通常是非均匀分布的,即在某些源宿对之间存在更大的业务流量.仿真结果表明,LQF-SA机制可以很好地完成非均匀分布业务流的组装.即使在均匀分布业务流输入下,LQF-SA机制在突发大小分布、组装效率和突发丢失率等方面也优于已提出的轮询调度组装（RR-SA）机制.     

Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet

Aiming at recognizing small proportion, blurred and complex traffic sign in natural scenes, a traffic sign detection method based on RetinaNet-NeXt is proposed. First, to ensure the quality of dataset, the data were cleaned and enhanced to denoise. Secondly, a novel backbone network ResNeXt was employed to improve the detection accuracy and effection of RetinaNet. Finally, transfer learning and group normalization were adopted to accelerate our network training. Experimental results show that the precision, recall and mAP of our method, compared with the original RetinaNet, are improved by 9.08%, 9.09% and 7.32%, respectively. Our method can be effectively applied to traffic sign detection.     

SOME TRAFFIC ISSUES IN THE DESIGN OF VIRTUAL PRIVATE NETWORKS OVER ATM

The emergence of broadband technologies such as ATM gives rise to new developments in the domain of virtual private networks (VPNs). In this paper, a target broadband VPN (B-VPN) service is proposed, which combines the cost savings of classic VPN services and the powerful features of private corporate networks (service integration, statistical multiplexing, etc.) enlarged by the use of ATM. To reach this B-VPN service, some architectural issues related to the network supporting the B-VPN service are discussed. The traffic implications of the possible architectural choices are then examined, and from this discussion some basic principles for a VPN architecture are drawn. Finally, target VPN architectures are proposed.     

用支持向量机网络实现VBR视频通信量的预测

VBR(Variable Bit Rate)视频信号具有时变性、非线性和突发性等特点,实现该信号通信量的高精度预测是提高信息传输速度和提高网络带宽资源利用效率的重要手段.针对以上问题,本文提出了一种用于VBR视频通信量预测的差分输入支持向量机(SVM:Support Vector Machine)网络模型.该网络模型采用结构风险最小化准则,在最小化经验风险的同时,尽量缩小模型预测误差的上界,从而使网络模型具有更好的推广能力.实验结果表明:支持向量机网络模型的预测误差为0.0018,而梯度径向基函数(Gradient Radial Basis Function:GRBF)神经网络模型的预测误差为0.0029.可以看出,支持向量机网络模型的预测精度要比GRBF网络模型的预测精度高出大约40%.