Ultra Reliable Load-Aware Connection Management(LACM)Algorithm in WIA-FA Systems

The increasing demand for industrial automation and intelligence has put forward higher requirements for the reliability of industrial wireless communication technology.As an international standard based on 802.11,Wireless networks for Industrial Automation-Factory Automation(WIA-FA)greatly improves the reliability in factory automation scenarios by Time Division Multiple Access(TDMA).However,in ultra-dense WIA-FA networks with mobile users,the basic connection management mechanism is inefficient.Most of the handover and resource management algorithms are all based on frequency division multiplexing,not suitable for the TDMA in the WIA-FA network.Therefore,we propose Load-aware Connection Management(LACM)algorithm to adjust the linkage and balance the load of access devices to avoid blocking and improve the reliability of the system.And then we simulate the algorithm to find the optimal settings of the parameters.After comparing with other existing algorithms,the result of the simulation proves that LACM is more efficient in reliability and maintains high reliability of more than 99.8%even in the ultra-dense moving scenario with 1500 field devices.Besides,this algorithm ensures that only a few signaling exchanges are required to ensure load bal-ancing,which is no more than 5 times,and less than half of the best state-of-the-art algorithm.

A Trailblazing Framework of Security Assessment for Traffic Data Management

Connected and autonomous vehicles are seeing their dawn at this moment.They provide numerous benefits to vehicle owners,manufacturers,vehicle service providers,insurance companies,etc.These vehicles generate a large amount of data,which makes privacy and security a major challenge to their success.The complicated machine-led mechanics of connected and autonomous vehicles increase the risks of privacy invasion and cyber security violations for their users by making them more susceptible to data exploitation and vulnerable to cyber-attacks than any of their predecessors.This could have a negative impact on how well-liked CAVs are with the general public,give them a poor name at this early stage of their development,put obstacles in the way of their adoption and expanded use,and complicate the economic models for their future operations.On the other hand,congestion is still a bottleneck for traffic management and planning.This research paper presents a blockchain-based framework that protects the privacy of vehicle owners and provides data security by storing vehicular data on the blockchain,which will be used further for congestion detection and mitigation.Numerous devices placed along the road are used to communicate with passing cars and collect their data.The collected data will be compiled periodically to find the average travel time of vehicles and traffic density on a particular road segment.Furthermore,this data will be stored in the memory pool,where other devices will also store their data.After a predetermined amount of time,the memory pool will be mined,and data will be uploaded to the blockchain in the form of blocks that will be used to store traffic statistics.The information is then used in two different ways.First,the blockchain’s final block will provide real-time traffic data,triggering an intelligent traffic signal system to reduce congestion.Secondly,the data stored on the blockchain will provide historical,statistical data that can facilitate the analysis of traffic conditions according to past behavior.

Methodology for Automatically Setting Camera View to Mile Marker for Traffic Incident Management

Traffic incident management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile marker based, with cameras that operate in a Pan-Tilt-Zoom coordinate system relies on dispatchers having detailed knowledge for hundreds of cameras and perhaps some presets. During real-time incident dispatching, reducing the time it takes to identify the most relevant cameras and setting their view on the incident is an important opportunity to improve incident management dispatch times. This research develops a camera-to-mile marker mapping technique that automatically sets the camera view to a specified mile marker within the field-of-view of the camera. Over 350 traffic cameras along Indiana’s 2250 directional miles of interstate were mapped to approximately 5000 discrete locations that correspond to approximately 780 directional miles (~35% of interstate) of camera coverage. This newly developed technique will allow operators to quickly identify the nearest camera and set them to the reported location. This research also identifies segments on the interstate system with limited or no camera coverage for decision makers to prioritize future capital investments. This paper concludes with brief discussion on future research to automate the mapping using LiDAR data and to set the cameras after automatically detecting the events using connected vehicle trajectory data.

Multiscale Characteristics and Connection Mechanisms of Attraction Networks:A Trajectory Data Mining Approach Leveraging Geotagged Data

Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geotagging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004–2007),the Olympic Games and subsequent‘heat period’(2008–2013),the post-Olympic period(2014–2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020–2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete information and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.

Performance Analysis for Mobility Management of Dual Connectivity in HetNet

Dual connectivity(DC)is regarded as a promising technology to increase users’throughput,provide radio link robustness,and improve load-balancing among base stations(BSs).However,since the introduction of DC makes the mobility of network more complex and diversified,especially the mobility management of heterogeneous networks(HetNets)based on DC faces great challenges.Taking event-A3-based measurement report as the trigger condition for handover(HO),this paper compares and evaluates the influences of HO of master nodes(MNs)and secondary nodes(SNs)on link reliability in different bearing modes.Particularly,hybrid automatic repeat request(HARQ),throughput,channel quality indicators(CQIs),and data packets queuing time are taken as link reliability analysis indicators.Besides,we study how DC utilizes the traffic split ratio between MNs and SNs to maximize the superiority of throughput.Simulation results show that DC can effectively reduce the impact of HO on the number of HARQ and increase the throughput of users.When the data traffic is tilted to the secondary nodes,the superiority of throughput is more obvious.

Lobster Fishery Connectivity and Management In Indonesia Waters

The distribution of lobsters in Indonesian waters is very wide,even lobster species in Indonesia are also scattered in the tropical waters of the western Pacific Ocean,the Indian Ocean,Africa to Japanese waters.Indonesian waters are divided into 11(eleven)Fishery Management Zone(FMZ).Lobsters in Indonesia may come from various water areas,both national and regional water zones,and they’re called the sink population.Its spread is influenced by the movement of the current.Lobster seed is nurtured by nature through ocean currents from Australia,East Indonesia,Japan,then back to Australia.Lobsters have a complex life cycle,where adult lobsters inhabit coral reefs as a place to lay eggs,then hatch into planktonic larvae,and grow up in open seas and carry out diurnal and ontogenetic vertical migrations before returning to nurseries in shallow coastal areas and reefs,coral,as well as habitat by the type of species.Literature research had used at least two methodologies to estimate the distribution and connection sensitivity matrices of marine organism larvae.The two most common approaches are using genetic markers and numerical biophysical modeling.Thus,this research uses molecular genetic techniques to explain the ge­netic structure of lobster populations using a biophysical model approach that can explain the genetic structure of lobsters,as well as the distribution based on regional oceanographic synthesis data and lobster biology known in Indonesian waters.This model has four components,namely:1)a ben­thic module based on a Geographical Information System(GIS)which is a lobster habitat in the spawning and recruitment process,2)a physical oceanography module containing daily velocity in the form of a three-di­mensional hydrodynamic model,3)a larva biology module that describes larval life history characteristics,and 4)a Lagrangian Stochastic module that tracks the individual trajectories of larvae.

课程管理系统(CMS)及其选择

该文介绍课程管理系统的定义,并以世界上著名的课程管理系统Moodle、Sakai、Blackboard为例,对比分析课程管理系统的基本元素,以及如何评价和选择课程管理系统。

基于CMS的企业网站的设计与实现

为了使企业网站能及时更新,具有个性和便于维护管理,提出了使用内容管理系统(CMS)来构建一个基于内容管理的企业级网站的解决方案。介绍了有关内容管理的技术背景和相关理论,论述了运用内容管理的理论和相关技术,采用J2EE技术构建一个基于内容管理的企业级网站系统架构的过程。详细介绍了该网站的主要设计目标以及围绕该目标的具体设计思路,重点介绍了权限管理、文件的上传与下载、新闻管理这3大关键技术模块的设计与实现。

基于CMS的中小企业网站建设

为了使网站能迅速跟进大量信息衍生及业务模式变革的脚步,摆脱页面制作无序、网站风格不统一、大量信息堆积、发布异常沉重、改版工作量大、系统扩展能力差的问题,采用Mambo内容管理系统(CMS)可对网站的模版系统结构、PHP模版布局文件、模块支持以及管理后台进行控制,提高企业各种类型的数字资源管理利用的效率,使建站更加轻松且更具个性。

基于CMS的高校网站群建设研究与实践

网站群是高校网站建设的趋势。为了解决目前高校网站由于采用不同技术进行分散建设带来的管理维护、信息共享、安全性等问题,在深入研究动易内容管理系统的基础上,总结了采用动易CMS进行高校网站群建设的规划、设计、开发与管理的过程与方法,探讨了基于动易CMS网站模型、模板和标签等进行二次开发的方法。将动易CMS应用于学校的网站建设中,取得了良好的效果。实践表明,使用CMS能够有效解决网站群建设中存在的技术和管理问题,是一种高效、安全的解决方案。

军用仿真中基于Web CMS的仿真资源管理机制研究

在Web CMS(web content management system)研究的基础上,针对军用仿真环境中仿真资源数量庞大、种类繁杂、存储形式多样的特点,面向仿真资源管理的需求对其管理机制进行必要扩充,设计了开放可扩展的存储模型,提出并实现了基于Web的仿真资源管理机制.以作战仿真环境下的仿真资源为例,实现了对各种仿真资源的有机管理,提高了仿真资源的互操作性、可重用性.实际应用表明,该系统具有良好的可扩展性、清晰的层次结构及全局性的资源视图,为上层仿真应用提供高效透明的数据服务,具有灵活的伸缩性和良好的访问效率.

基于CMS的高校学院网站建设

采用内容管理系统CMS可对网站的模板结构、模板布局文件、模块支持以及文章栏目发布进行控制。

基于CMS的北美高校图书馆课程整合信息素质教育

通过北美大学图书馆在CMS环境下开展课程整合信息素质教育的案例,从课程模块的选择、教学活动、教学内容、效果评估几个方面分析了其整合模式与运行机制,并对我国信息素质教育的发展提出合理化建议。

基于Siteserver CMS的网络课程建设与站群管理

分析了现有课程网站建设存在的问题,提出使用Siteserver CMS建设课程网站,探索了课程网站建设方案和站群平台管理模式,实现了教师管理课程网站的新模式和课程网站的多种功能,在更大程度上发挥了信息化技术手段在人才培养中的作用。

基于CMS的高校网站的研究与实现

从实用和研究的角度出发,分析当前高校网站建设和管理的现状,介绍内容管理系统的相关知识,给出系统的功能和结构框架的设计,实现一个基于B/S的CMS系统,本系统主要应用于Web服务,实现信息资源的共享,为高校网站建设和管理提供一个简单易行的平台,全面提升学校网站的建设和管理水平,有效推进学校信息化建设。

基于开源CMS数字图书馆网站的设计与实现

为了建设功能强大,管理、维护方便的数字图书馆网站,使用开源软件动易CMS搭建图书馆网站总体构架并实现其主要功能,将自行开发的"图书馆数字资源管理系统"嵌入其中.根据西安工程大学数字图书馆网站实际运行结果,得出利用开源软件动易CMS可以突破技术瓶颈,缩短开发周期和成本,是建设图书馆网站的途径之一.并提出将微博整合与图书馆网站的互动平台,建设网站的用户体验系统.

基于CMS的产学研协同创新工作研究

首先,评述了产学研协同创新研究现状,指出产学研协同创新研究存在的信息化平台研究缺失问题;其次,将产学研三方比作一个虚拟的"企业",分析了其协同创新过程中存在的问题;最后,借助协同管理系统(CMS),对产学研协同创新工作的实现进行了探究,论证了协同管理系统可作为支持产学研协同创新的信息化平台。从管理信息化手段出发,探究产学研协同创新,将会推动产学研协同创新的发展和研究。

基于DEDECMS内容管理系统的课程网站系统实现

该课题通过对开源CMS系统网站DEDECMS分析,得到DEDECMS作为内容管理系统的优点,并且利用开源的CMS系统开发了一种通用的课程网站建设方法,解决了开发课程网站的难度和建设周期,方便了非计算机专业人员建设课程网站的瓶颈。

基于CMS的高校教学资源网站设计与实现

为解决当前网络教学资源多而杂、缺乏规划、使用率低等问题,结合所在院校实际情况,提出基于CMS设计一套网络教学资源管理平台。重点论述了系统的整体架构和基本功能。该系统采用三层体系架构,使用ASP.NET技术开发。采用基于模板的信息发布形式以便于网站的维护和更新。系统主要有内容管理、模板管理、系统管理、其他管理等功能,具有易维护性和可扩展性。

简析CMS与二级院系网站建设

CMS是Content Management System的缩写,意为"内容管理系统",它是一个应用型软件,是制作网站和管理网站的工具。利用CMS可以迅速地搭建功能齐全的网站,尤其适用于缺乏相关专业技术人才的单位,不需要掌握很多专业技术就可以建立自己的网站。本文以南京工业职业技术学院人文与数理系网站建设为例,简要介绍CMS的功能特点,并利用其建站的主要流程和日常维护。