Application of Network Information Communication Technology in Power System

Network information communication technology in power systems is the key to ensuring the safe and efficient operation of power grids.The network information communication technology itself has advantages in automation operation and information transmission,thus is widely applied to the power system.In the case of ensuring that the power system is compatible with the network information communication technology,the control of the power system can be strengthened,and the operational efficiency of the power system can be improved.This paper mainly analyzes the specific application of network information communication technology in power system.

STUDY ON THE OPTIMIZATION OF TRANSPORT CONTROL POLICY IN COMMUNICATION NETWORK

In communication networks with policy-based Transport Control on-Demand (TCoD) function,the transport control policies play a great impact on the network effectiveness. To evaluate and optimize the transport policies in communication network,a policy-based TCoD network model is given and a comprehensive evaluation index system of the network effectiveness is put forward from both network application and handling mechanism perspectives. A TCoD network prototype system based on Asynchronous Transfer Mode/Multi-Protocol Label Switching (ATM/MPLS) is introduced and some experiments are performed on it. The prototype system is evaluated and analyzed with the comprehensive evaluation index system. The results show that the index system can be used to judge whether the communication network can meet the application requirements or not,and can provide references for the optimization of the transport policies so as to improve the communication network effectiveness.

Deployment of Polar Codes for Mission-Critical Machine-Type Communication Over Wireless Networks

Mission critical Machine-type Communication(mcMTC),also referred to as Ultra-reliable Low Latency Communication(URLLC),has become a research hotspot.It is primarily characterized by communication that provides ultra-high reliability and very low latency to concurrently transmit short commands to a massive number of connected devices.While the reduction in physical(PHY)layer overhead and improvement in channel coding techniques are pivotal in reducing latency and improving reliability,the current wireless standards dedicated to support mcMTC rely heavily on adopting the bottom layers of general-purpose wireless standards and customizing only the upper layers.The mcMTC has a significant technical impact on the design of all layers of the communication protocol stack.In this paper,an innovative bottom-up approach has been proposed for mcMTC applications through PHY layer targeted at improving the transmission reliability by implementing ultra-reliable channel coding scheme in the PHY layer of IEEE 802.11a standard bearing in mind short packet transmission system.To achieve this aim,we analyzed and compared the channel coding performance of convolutional codes(CCs),low-density parity-check(LDPC)codes,and polar codes in wireless network on the condition of short data packet transmission.The Viterbi decoding algorithm(VA),logarithmic belief propagation(Log-BP)algorithm,and cyclic redundancy check(CRC)successive cancellation list(SCL)(CRC-SCL)decoding algorithm were adopted to CC,LDPC codes,and polar codes,respectively.Consequently,a new PHY layer for mcMTC has been proposed.The reliability of the proposed approach has been validated by simulation in terms of Bit error rate(BER)and packet error rate(PER)vs.signal-to-noise ratio(SNR).The simulation results demonstrate that the reliability of IEEE 802.11a standard has been significantly improved to be at PER=10−5 or even better with the implementation of polar codes.The results also show that the general-purpose wireless networks are prominent inproviding short packet mcMTC with the modification needed.

Vehicular Communications,Networks,and Applications

Avehicular ad hoc network （VANET） is a packet-switched network, consisting of mobile communication nodes mounted on vehicles, with very limited or no infrastructure support [1]. It supports communications among nearby vehicles,

ZTE Communications Special Issue on Vehicular Communications,Networks,and Applications

Vehicular communications and networking can improve road safety, faeilitate intelligenl transporlation, support infotainment, dala sharing, and location based serviees, and will be a eritical component in the Internet of Things. This special issue aims to present the state of the art in research and development of vehicular communication technology and its potential applications. We are soliciting original contribulions. The topics of interest include, but arc not limited to：

Internet of Vehicles in Big Data Era

As the rapid development of automotive telematics,modern vehicles are expected to be connected through heterogeneous radio access technologies and are able to exchange massive information with their surrounding environment. By significantly expanding the network scale and conducting both real-time and long-term information processing, the traditional Vehicular AdHoc Networks(VANETs) are evolving to the Internet of Vehicles(Io V), which promises efficient and intelligent prospect for the future transportation system. On the other hand, vehicles are not only consuming but also generating a huge amount and enormous types of data, which is referred to as Big Data. In this article, we first investigate the relationship between Io V and big data in vehicular environment, mainly on how Io V supports the transmission, storage, computing of the big data, and how Io V benefits from big data in terms of Io V characterization,performance evaluation and big data assisted communication protocol design. We then investigate the application of Io V big data in autonomous vehicles. Finally, the emerging issues of the big data enabled Io V are discussed.

Satellite E2E Network Slicing Based on 5G Technology

We investigate the design of satellite network slicing for the first time to provide customized services for the diversified applications,and propose a novel scheme for satellite end-to-end(E2E) network slicing based on 5G technology,which provides a view of common satellite network slicing and supports flexible network deployment between the satellite and the ground.Specifically,considering the limited satellite network resource and the characteristics of the satellite channel,we propose a novel satellite E2E network slicing architecture.Therein,the deployment of the network functions between the satellite and the ground is coordinately considered.Subsequently,the classification and the isolation technologies of satellite network sub-slices are proposed adaptively based on 5G technology to support resource allocation on demand.Then,we develop the management technologies for the satellite E2E network slicing including slicing key performance indicator(KPI) design,slicing deployment,and slicing management.Finally,the analysis of the challenges and future work shows the potential research in the future.

Provisioning Intelligent Water Wave Optimization Approach for Underwater Acoustic Wireless Sensor Networks

In the Acoustics channel,it is incredibly challenging to offer data transfer for time-sourced applications in an energy-efficient manner due to higher error rate and propagation delay.Subsequently,conventional re-transmission over any failure generally initiates significantly larger end-to-end delay,and therefore it is not probable for time-based services.Moreover,standard techniques without any re-transmission consume enormous energy.This investigation proposes a novel multi-hop energy-aware transmission-based intelligent water wave optimization strategy.It ensures reduced end-to-end while attaining potential amongst overall energy efficiency end-to-end packet delay.It merges a naturally inspired meta-heuristic approach with multi-hop routing for data packets to reach the destination.The appropriate design of this Meta heuristic-based energy-aware scheme consumes lesser energy than the conventional one-hop transmission strategy without re-transmission.However,there is no hop-by-hop re-transmission facilitated.The proposed model shows only lesser delay than conventional methods with re-transmission.This work facilitates extensive work to carry out the proposed model performance with the MATLAB simulation environment.The results illustrate that the model is exceptionally energyefficient with lesser packet delays.With 500 nodes,the packet delivery ratio of proposed model is 100%,average delay is reduced by 2%,total energy consumption is 8 J,average packet redundancy is 1.856,and idle energy is 6.9Mwh.The proposed model outperforms existing approaches like OSF,AOR,and DMR respectively.

Optimization of beamforming and path planning for UAV-assisted wireless relay networks

Recently, unmanned aerial vehicles （UAVs） acting as relay platforms have attracted considerable attention due to the advantages of extending coverage and improving connectivity for long-range communications. Specifically, in the scenario where the access point （AP） is mobile, a UAV needs to find an efficient path to guarantee the connectivity of the relay link. Motivated by this fact, this paper proposes an optimal design for beamforming （BF） and UAV path planning. First of all, we study a dual-hop amplify-and-forward （AF） wireless relay network, in which a UAV is used as relay between a mobile AP and a fixed base station （BS）. In the network, both of the AP and the BS are equipped with multiple antennas, whereas the UAV has a single antenna. Then, we obtain the output signal^to-noise ratio （SNR） of the dual-hop relay network. Based on the criterion of maximizing the output SNR, we develop an optimal design to obtain the solution of the optimal BF weight vector and the UAV heading angle. Next, we derive the closed-form outage probability （OP） expression to investigate the performance of the dual-hop relay network conveniently. Finally, computer simulations show that the proposed approach can obtain nearly optimal flying path and OP performance, indicating the effectiveness of the proposed algorithm. Furthermore, we find that increasing the antenna number at the BS or the maximal heading angle can significantly improve the performance of the considered relay network.

基于filter过滤器技术的单点登录应用

如何对已存在的异构系统进行统一用户及权限管理,实现各系统的单点登录是目前大型国企网络系统集成的一个难点。分析目前烟草集团网络应用系统集成的现状,探讨利用单点登录技术构建身份认证的模式,对其中的关键技术和实现方法进行深入研究,最后将研究结果用于国内某烟草集团的网络系统集成中,验证了其有效性。

基于模糊神经网络优化的板料冲压CAD/CAE集成系统

在CAD阶段完成零件和模具的初步几何设计以后,运用成熟的数值模拟软件对金属板料冲压成形过程的模拟仿真(CAE)可成功地预测制件在成形过程中产生的缺陷,以模糊逻辑与神经网络技术相结合建立人工智能优化设计模块,从而及时地对设计提出修改,将优化设计的结果参数由通信接口传输到CAD系统中,利用CAD系统的参数化设计功能驱动三维模型的修改,从而实现板料冲压成形CAD/CAE系统的集成。

人工神经网络在钢铁成型工艺中的应用

在对典型事例作具体分析的前提下,介绍了人工神经网络在钢铁成型工艺中的一些应用。这些充分表明,人工神经网络在成型工艺中的力学性能和生产优化等方面优于传统工艺方法。

基于网络的报表打印程序的实现

我们完成了一个基于网络的报表打印程序.该程序可在网络环境下通过对远程数据库的访问生成报表,用户可使用本地打印机将报表打印出来.本文就如何实现Java应用程序框架结构、生成Java报表、进行多页打印、实现打印预览以及何时调用打印方法等问题进行了讨论.

网络环境下S—P表的扩展应用

本文介绍了S—P表的基本特点和评价功能，阐述了网络环境下S—P表的应用及应该注意的问题，展望了网络环境下S—P表的未来．

人工神经网络在钢铁成型工艺中的应用

在对典型事例作具体分析的前提下,介绍了人工神经网络在钢铁成型工艺中的一些应用。这些充分表明,人工神经网络在成型工艺中的力学性能和生产优化等方面优于传统工艺方法。

电信网络资源管理系统的建设

本文介绍了电信网络资源管理系统的体系结构和功能要求,结合安徽电信网络资源管理系统的建设,重点论述了网络资源管理系统的动态管理和应用。

财务报表网络化对决策的影响

随着科技的发展,网络化和电子化的财务报表越来越广泛地应用于会计领域。文章从电子财务信息、报表表达方式和超文本链接三个方面介绍了财务报表网络化的研究,并对财务报表网络化对决策的判定、信息的收集和决策时间的影响做了总结。

基于ASP.NET窗体身份验证构建安全的Web应用程序

提出一种利用密码哈希值和随机数实现窗体身份验证的改进方法,并给出实现的C#程序代码。

纱线横截面图像中的材质识别

应用主成分分析(PCA),在尽量减少信息损失的前提下,把毛粘混纺纱线横截面图像中羊毛和粘胶的原始特征指标转化为少数综合性指标.利用BP(Error Back Propagation)神经网络较强的学习能力,对羊毛和粘胶的混纺纱线横截面图像进行识别分析.通过对实例图像进行预处理,提取特征数据;应用主成分分析法进行数据降维并利用BP神经网络进行机器学习及识别分类,取得了与实际相符的羊毛和粘胶两种材质的分离效果.

大数据时代人工智能在计算机网络技术中的应用

人工智能技术基于对人类大脑信息处理模式的模仿,通过多种网络技术的融合,能够让计算机网络系统拥有与人类相似的信息感知、自我学习以及分析决策能力,在绝大多数领域都有极大的应用潜力。而基于万物互联的构想,为人工智能技术的应用描绘出了更多样化的场景。基于此,笔者首先分析了大数据时代下计算机网络形态、功能以及信息传输与应用形式的变化,阐释了人工智能在计算机网络技术中的应用价值,进而深入探讨了其在维护计算机网络信息安全和运行可靠性、提升服务品质方面的具体应用。