An Automatic Cross-System File Generation System for Biological Network Visualization Tools

In the field of bioinformatics, the size of a biological network is usually very big. Without any help, it’s extremely hard to analyze the network. If it is shown as a visualized picture, things will be easier. So it’s very important to convert the biological network into a picture. However, there are a lot of software tools to be used to visualize the network. They use different file formats and do not support the transfer from one format to another. Sometimes it’s really hard to deal with it. So I analyzed three text file formats of them (“.dl”, “.net” and “.vna”) and developed a program to do this work automatically. The result of execution is very well and the efficiency is also impressive.

Network Management of Food Additives Quality Analysis and Inspection

In this paper, on the basis of the implementation of the national chemical industry standard analytical test methods and analysis of test items, a food additive quality analysis and inspection of network management applications are developed using the development technology of Visual Basic language and computer system operating environment, to achieve a network management software for users on food additives of quality analytical testing. The software sets up an information sharing network platform for enterprise and quality management departments, which is a major innovation in the food additive quality analysis on test management methods and tools.

An Optimization Algorithm of Network Topology Discovery Based on SNMP Protocol

Through the analysis of network topology discovery algorithm used ICMP protocol and FDB address, a novel layer topology discovery and link layer topology discovery algorithm which is suitable for campus network environment is proposed based on SNMP protocol. This algorithm can rapidly and accurately calculate the second and third floors topology of the whole pipe network.

A Controller-Based Architecture for Information Centric Network Construction and Topology management

Information-Centric Networking(ICN) has recently emerged as a result of the increased demand to access contents regardless of their location in the network services. This new approach facilitates content distribution as a service of the network with lower delay and higher security in comparison with the current IP network. Applying ICN in current IP infrastructure leads to major complexities. One approach to deploy ICN with less complexity is to integrate ICN with Software Defined Networking(SDN). The SDN controller manages the content distribution, caching, and routing based on the users' requests. In this paper, we extend these context by addressing the ICN topology management problem over the SDN network to achieve an improved user experience as well as network performance. In particular, a centralized controller is designed to construct and manage the ICN overlay. Experimental results indicate that this adopted topology management strategy achieves high performance, in terms of low failure in interest satisfaction and reduced download time compared to a plain ICN.

Visualization and Management Platform with Augmented Reality for Wireless Sensor Networks

Recently a ubiquitous sensor network which collects our environmental information gets increasingly popular, a visualization application is necessary for users to manage complicated wireless networks, however, these applications are developed individually for wireless communication standard or a type of wireless device. Therefore, users are forced to adopt and use the application individually according to the target of the wireless network. In this paper, we propose a visualization platform for wireless network environments using augmented reality technology, and evaluate the effectiveness of the platform. From the result of the evaluation, we have confirmed the proposed platform has availability for visualization and management of wireless networks.

A Clustering-tree Topology Control Based on the Energy Forecast for Heterogeneous Wireless Sensor Networks

How to design an energy-efficient algorithm to maximize the network lifetime in complicated scenarios is a critical problem for heterogeneous wireless sensor networks (HWSN). In this paper, a clustering-tree topology control algorithm based on the energy forecast (CTEF) is proposed for saving energy and ensuring network load balancing, while considering the link quality, packet loss rate, etc. In CTEF, the average energy of the network is accurately predicted per round (the lifetime of the network is denoted by rounds) in terms of the difference between the ideal and actual average residual energy using central limit theorem and normal distribution mechanism, simultaneously. On this basis, cluster heads are selected by cost function (including the energy, link quality and packet loss rate) and their distance. The non-cluster heads are determined to join the cluster through the energy, distance and link quality. Furthermore, several non-cluster heads in each cluster are chosen as the relay nodes for transmitting data through multi-hop communication to decrease the load of each cluster-head and prolong the lifetime of the network. The simulation results show the efficiency of CTEF. Compared with low-energy adaptive clustering hierarchy (LEACH), energy dissipation forecast and clustering management (EDFCM) and efficient and dynamic clustering scheme (EDCS) protocols, CTEF has longer network lifetime and receives more data packets at base station. © 2014 Chinese Association of Automation.

An Exploratory Study of Experimental Tools for Wireless Sensor Networks

The objective of this contribution is to present expositive review content on currently available experimental tools/services/concepts used for most emerging field Wireless Sensor Network that has capability to change many of the Information Communication aspects in the upcoming era. Currently due to high cost of large number of sensor nodes most researches in wireless sensor networks area is performed by using these experimental tools in various universities, institutes, and research centers before implementing real one. Also the statistics gathered from these experimental tools can be realistic and convenient. These experimental tools provide the better option for studying the behavior of WSNs before and after implementing the physical one. In this contribution 63 simulators/simulation frameworks, 14 emulators, 19 data visualization tools, 46 testbeds, 26 debugging tools/services/concepts, 10 code-updation/reprogramming tools and 8 network monitors has been presented that are used worldwide for WSN researches.

区块链网络综述

区块链是典型的分布式系统,底层网络的性能和安全性至关重要.区块链网络的本质是P2P网络,然而在安全模型、传输协议和性能指标等方面与传统P2P网络存在明显差异.首先,针对区块链网络的传输流程进行全面、深入地分析,阐明区块链网络所面临的瓶颈挑战.其次,针对区块链网络拓扑结构和传输协议的最新研究工作,从节点异构性、编码方案、广播算法和中继网络等方面系统性地分类梳理,并归纳总结跨链网络实现和网络仿真工具.最后,探讨区块链网络的未来研究趋势.

矿山三维巷道参数化建模方法研究与应用

矿山巷道三维可视化作为数字矿山的一个重要组成部分,是开展相关应用研究的基础。针对当前巷道三维建模人工干预高、过度依赖建模软件等问题,提出了矿山三维巷道参数化建模方法。对于部分巷道转折处、分叉口处缺少导线点的情况,通过巷道数据处理,基于搜索算法进行虚拟导线点的补充插值,构建了巷道空间拓扑网络模型。针对巷道空间拓扑网络模型,根据任意2条相交巷道沿角平分线对称的特点,采用基于角平分线对称的建模法,解决了巷道相交处、分叉口处的连通性问题和平滑拼接问题;通过集成方法实现了不同形态断面巷道的集成建模,从而实现了矿山三维巷道网络模型的自动化构建。以典型矿井的实测数据为例开展了应用研究,结果表明:巷道空间拓扑网络模型各个导线点处拓扑连接关系正确,矿山三维巷道模型在巷道相交处、分叉口处连通性和平滑拼接良好,该模型能够直观地展示巷道真实形态和巷道之间的空间关系,为矿山管理者和生产者提供重要的数据信息,方便进行辅助决策,对于矿山安全生产及智慧化管理具有较好的参考意义。

基于社会网络分析的省域民办高校分类管理政策工具的选择现状及建议

对民办高校分类管理的政策工具选择偏好进行研究有助于优化民办高等教育体制政策体系,推动政策的实践与落地。本文依照施耐德和英格拉姆的政策工具分析框架,对2013-2022年期间全国31省(自治区、直辖市)出台的159份相关政策文本,采用社会网络分析法进行计量分析与探究。研究发现:当前我国民办高校各类分类管理的政策工具存在操作性受限;针对性、协同性不足;使用结构尚待优化等问题。针对这些问题提出:加快补齐专项配套政策,提升政策工具的操作性;细化分类管理政策内容,提升政策工具的针对性;优化政策参与主体的协作性,提升政策工具使用的协同性;优化政策工具的使用结构,增强政策工具的应用与组合等建议。

地下管网三维模型的自动化构建与可视化

随着地下市政基础设施普查的全面开展,涌现出标准各异的海量地下管线普查数据。为提高管线普查数据的处理效率与利用率,基于国产化GIS平台,以浙江省地下市政基础设施数据库规范为例,提出一种地下管网三维模型的自动化构建与可视化方法。该方法在数据规范性检查与自动修正的基础上,完成三维拓扑构网;然后制定符号化规范,实现了三维管网的自动符号化。实现了从符合特定规范的管线测绘数据到模型化三维拓扑管网的全自动化处理,为大批量的规范化管线测绘数据的高效处理提供了一个解决方案。

Cognitive Navigation for Intelligent Mobile Robots:A Learning-Based Approach With Topological Memory Configuration

Autonomous navigation for intelligent mobile robots has gained significant attention,with a focus on enabling robots to generate reliable policies based on maintenance of spatial memory.In this paper,we propose a learning-based visual navigation pipeline that uses topological maps as memory configurations.We introduce a unique online topology construction approach that fuses odometry pose estimation and perceptual similarity estimation.This tackles the issues of topological node redundancy and incorrect edge connections,which stem from the distribution gap between the spatial and perceptual domains.Furthermore,we propose a differentiable graph extraction structure,the topology multi-factor transformer(TMFT).This structure utilizes graph neural networks to integrate global memory and incorporates a multi-factor attention mechanism to underscore elements closely related to relevant target cues for policy generation.Results from photorealistic simulations on image-goal navigation tasks highlight the superior navigation performance of our proposed pipeline compared to existing memory structures.Comprehensive validation through behavior visualization,interpretability tests,and real-world deployment further underscore the adapt-ability and efficacy of our method.

基于BIM技术的地铁基坑施工监测可视化管理系统研究与应用

以济南某地铁车站为例,利用Revit软件建立基坑主体结构及监测点模型族库;利用BIMFACE轻量化平台实现模型Web端轻量化显示,直观查看基坑空间几何形态及监测点布设位置;利用MySQL数据库完成模型属性数据、监测数据、运维数据的存储,将模型与监测点数据关联,完成监测点数据的可视化显示;利用BP神经网络模型完成监测数据预测,并设置不同的监测项目阈值实现智能预警。结果表明,该系统有效解决了传统施工监测可视化程度低、监测效率低等问题,极大提高了地铁车站基坑的施工监测管理效率及质量,降低了事故风险发生率。

人工智能下的电站通信网络故障诊断与优化方法研究

为了实现电站通信网络故障快速定位,本文设计了一种基于卷积神经网络(Convolutional Neural Network,CNN)的电站通信网络故障诊断系统。本研究通过故障诊断系统的模型结构和可视化功能模块的设计,阐述了模型和故障诊断可视化的关键技术和流程,搭建并优化系统实现环境。最后文章所提出的模型与基线方法进行比较,证明所提出模型在精度等各个指标中均表现优异。系统可以利用基于CNN的故障诊断算法快速定位和诊断网络故障,实现网络拓扑的可视化过程和故障诊断。

网络拓扑可视化系统研究

网络拓扑可视化在计算机网络领域中具有重要的价值,它不仅帮助人们更直观地了解网络结构和连接关系,还能够发现网络中的问题并进行优化。本文设计并实现了网络拓扑可视化系统,该系统主要包括UI层、业务层以及数据层,同时采用力导向的布局算法计算各网络节点的布局。采用本文设计的力导向布局优化算法在不同规模的网点节点下,具有较快的执行速度,能够较好地适应大规模网络拓扑结构的布局计算。

公网卡IP管理工具的设计与开发

公网卡已被广泛应用于电力行业,每张公网卡都需要唯一的IP。采用人工方式管理IP,工作量大且容易出错。针对公网卡IP管理中的难点问题,设计研发了对应的公网卡IP管理工具,并在实际应用中取得了良好的管理成效。

基于信息技术的安全工器具智能管理系统研究

提出了一种基于射频识别(Radio Frequency Identification,RFID)、传感器网络和智能算法的管理系统,利用射频识别技术对工器具进行标识和跟踪,通过无线传感器网络实现工器具的实时定位和状态监测,结合智能算法优化工器具的调度和维护策略。同时,系统集成了工器具的电子档案管理和安全规范知识库,为作业人员提供辅助决策支持。经实践表明,智能管理系统的应用显著地提升了工器具管理效率和规范化水平。

配电网故障抢修中的可视化通信技术应用研究

主要研究可视化技术在配电网故障抢修中的应用。简要介绍可视化技术及其在配电网故障检修中的应用情况,论述开发配电网故障抢修和管理系统的必要性,给出该系统的数据采集层、数据处理层以及数据展示层等架构,并提出配电网可视化故障抢修和管理系统的具体业务流程,旨在实现故障的智能化检测、定位、隔离、恢复和分析评估,提高客户服务水平和满意度。

基于网络安全审计的文件外发审批监管系统的设计与实现

近年来,通过电子邮箱、QQ、钉钉、微信工作群等应用接收、报送数据已经成为常态。针对文件外发缺乏有效监管的问题,为规范用户的外发行为,实现对文件外发行为的统一管控,文章设计了基于网络安全审计的文件外发审批监管系统。

超视距空战对抗下的杀伤链构建研究

随着网络化、智能化等技术的加速发展,体系化作战也在加速演进,传统杀伤链逐步由固定向动态、单一向多源、预设向自主转变,链路闭合方式更为灵活,实战性、鲁棒性增强,可以更好地应对未来的复杂对抗环境,有效扩大杀伤范围,提高作战效能。本文从杀伤链理论出发,通过对美军杀伤链相关技术发展进行分析,结合对抗需求,提出超视距空战对抗下的杀伤链设想,分析主要技术特征,从“观察、定位、决策、行动”(OODA)的角度梳理杀伤链构建所需关键技术,以期对未来体系条件下的超视距空战运用提供参考。