Cloud Control System Architectures,Technologies and Applications on Intelligent and Connected Vehicles:a Review

The electrification of vehicle helps to improve its operation efficiency and safety.Due to fast development of network,sensors,as well as computing technology,it becomes realizable to have vehicles driving autonomously.To achieve autonomous driving,several steps,including environment perception,path-planning,and dynamic control,need to be done.However,vehicles equipped with on-board sensors still have limitations in acquiring necessary environmental data for optimal driving decisions.Intelligent and connected vehicles(ICV)cloud control system(CCS)has been introduced as a new concept as it is a potentially synthetic solution for high level automated driving to improve safety and optimize traffic flow in intelligent transportation.This paper systematically investigated the concept of cloud control system from cloud related applications on ICVs,and cloud control system architecture design,as well as its core technologies development.Based on the analysis,the challenges and suggestions on cloud control system development have been addressed.

Microstructure of aluminum twin-roll casting based on Cellular Automation

Nucleation and growth model based on Cellular Automation(CA) incorporated with macro heat transfer calculation was presented to simulate the microstructure of aluminum twin-roll casting. The dynamics model of dendrite tip (KGT model) was amended in view of characteristics of aluminum twin-roll casting. Through the numerical simulation on solidification structure under different casting speeds, it can be seen that when the casting speed is 1.3 m/min, that is, under conditions of conventional roll casting, coarse columnar grains dominate the solidification structure, and equiaxed grains exist in the center of aluminum strip. When the casting speed continuously increases to 8 m/min, that is, under the conditions of thin-gauge high-speed casting, columnar grains in solidification structure all convert into equiaxed grains. Experimental and numerical results agree well.

云原生网关APISIX的CAS认证插件设计与实现

CAS认证协议是当前主流统一身份认证系统重要的组成部分,开源云原生网关APISIX尚未支持该协议,因而从APISIX架构分析入手,采用插件的方式解决CAS鉴权认证问题,并实际测试验证了方案的可行性,为类似需求提供一种解决思路。

基于CAS理论的万众云创新特征及其运行机制研究

万众云创新是一种体现集体智慧的由万众参与的创新模式,是一个多主体参与的复杂适应性系统。在相关文献研究的基础上,进一步明确了复杂适应系统(CAS)理论视角下万众云创新的内涵,重点分析了万众云创新多主体性、主动适应性、非线性、涌现性、开放性、多样性等复杂性特征,进而揭示了万众云创新内在动力机制、微观学习机制、组织协调机制、利益导向机制和互动反馈机制,并提出集聚大众智慧、加强主体间互动交流、优化万众云创新环境、搭建万众云创新平台将有助于万众云创新系统的健康运行和良性发展。

基于H3C CAS的私有云计算平台的方案设计

云计算对人类社会信息化建设的推进作用是革命性的。一方面极大地降低了信息化建设的成本,提高了资源的利用率;另一方面提高了服务的可用性和可靠性;再一方面加快了信息化建设的进程。云计算为资源服务提供了可伸缩性的、可创造性的、智能化的操作模式,提供可定制或自定义的服务模式。云计算应用已深入人心,遍布了人类社会的各个行业领域,并且已成为世界各国信息化建设的重要战略部署。

Seismic reliability assessment of a steel moment-resisting frame with two different ductility levels using a cloud analysis approach

A cloud method for generating percentile engineering demand parameter versus intensity measure(EDP-IM) curves of a structure subjected to a set of synthetic ground motions is presented. To this end, an ensemble of synthetic ground motions based on available real ones is generated. This is done by using attenuation relationships, duration and suitable Gutenberg-Richter relations attributed to the considered seismic hazard at a given site by estimating a suitable distribution of magnitude and site to source distance. The study aims to clarify the significance of the duration and frequency content on the seismic performance of structures, which were not considered in developing percentile incremental dynamic analysis(IDA) curves. The collapse probabilities of two steel moment-resisting frames with different ductility levels generated by IDA and the proposed cloud method are compared at different intensity levels. When compared with conventional IDA, the suggested cloud analysis(SCA) methodology with the same run number of dynamic analyses was able to develop response hazard curves that were more consistent with site-specific seismic hazards. Eliminating the need to find many real records by generating synthetic records consistent with site-specific seismic hazards from a few available recorded ground motions is another advantage of using this scheme over the IDA method..

Smart Agriculture with an Automated IoT-Based Greenhouse System for Local Communities

Nowadays, smart agriculture using wireless communication is replacing the wired system which was difficult to install and manage. Then, this paper introduces a new design for IoT application on the greenhouse, which utilizes different technologies to present a new model for practical implementation in the IoT concept. This design can settle a new method to solve problems in Market Demand, Precision in Operation and supervision. Furthermore, this design can be used in many cases and assist farmers, cropper and planted people to develop their business.

Design and Realization of an NFC-Driven Smart Home System to Support Intruder Detection and Social Network Integration

The Internet of thing（Io T） emerges as a possible solution to realize a smart life in the modern age. In this article, we design and realize a novel near field communication（NFC）-driven smart home system for Io T, which integrates the wireless sensor network（WSN）, social networks, and the cloud computing. NFC technology provides a way for users to exchange information between them and the system by simply contacting. So, we propose to use NFC as the system drive in the architecture, such that users can intuitively interact with the system and deliver their intentions. Then, the corresponding service over the system will control or adjust the “things” at home to fit users＇ needs. Furthermore, the proposed system provides a platform for developers to easily and rapidly implement their smart home related services. In the system, WSN sensing and control, NFC communications and identification, user profile management and preference analysis, and social network integration are all provided as platform services. We will show how the system works for home automation, intruder detection, and social network sharing.

Representing Increasing Virtual Machine Security Strategy in Cloud Computing Computations

This paper proposes algorithm for Increasing Virtual Machine Security Strategy in Cloud Computing computations.Imbalance between load and energy has been one of the disadvantages of old methods in providing server and hosting,so that if two virtual severs be active on a host and energy load be more on a host,it would allocated the energy of other hosts(virtual host)to itself to stay steady and this option usually leads to hardware overflow errors and users dissatisfaction.This problem has been removed in methods based on cloud processing but not perfectly,therefore,providing an algorithm not only will implement a suitable security background but also it will suitably divide energy consumption and load balancing among virtual severs.The proposed algorithm is compared with several previously proposed Security Strategy including SC-PSSF,PSSF and DEEAC.Comparisons show that the proposed method offers high performance computing,efficiency and consumes lower energy in the network.

Dynamic Automated Infrastructure for Efficient Cloud Data Centre

We propose a dynamic automated infrastructure model for the cloud data centre which is aimed as an efficient service stipulation for the enormous number of users.The data center and cloud computing technologies have been at the moment rendering attention to major research and development efforts by companies,governments,and academic and other research institutions.In that,the difficult task is to facilitate the infrastructure to construct the information available to application-driven services and make business-smart decisions.On the other hand,the challenges that remain are the provision of dynamic infrastructure for applications and information anywhere.Further,developing technologies to handle private cloud computing infrastructure and operations in a completely automated and secure way has been critical.As a result,the focus of this article is on service and infrastructure life cycle management.We also show how cloud users interact with the cloud,how they request services from the cloud,how they select cloud strategies to deliver the desired service,and how they analyze their cloud consumption.

An E-Negotiation Agent Using Rule Based and Case Based Approaches: A Comparative Study with Bilateral E-Negotiation with Prediction

The research in the area of automated negotiation systems is going on in many universities. This research is mainly focused on making a practically feasible, faster and reliable E-negotiation system. The ongoing work in this area is happening in the laboratories of the universities mainly for training and research purpose. There are number of negotiation systems such as Henry, Kasbaah, Bazaar, Auction Bot, Inspire, and Magnet. Our research is based on making an agent software for E-negotiation which will give faster results and also is secure and flexible. The negotiation partners and contents between the service providers change frequently. The negotiation process can be transformed into rules and cases. Using these features, a new automated negotiation model for agent integrating rule based and case based reasoning can be derived. We propose an E-negotiation system, in which all product information and multiple agent details are stored on the cloud. An E-negotiation agent acts as a negotiator. Agent has user’s details and their requirements for a particular product. It will check rules based data whether any rule is matching with the user requirement. An agent will see case based data to check any similar negotiation case matching to the user requirement. If a case matches with user requirement, then agent will start the negotiation process using case based data. If any rule related requirement is found in the rule base data, then agent will start the negotiation process using rule based data. If both rules based data and cases based data are not matching with the user requirement, then agent will start the negotiation process using Bilateral Negotiation model. After completing negotiation process, agent gives feedback to the user about whether negotiation is successful or not. The product details, rule based data, and case based data will be stored on the cloud. So that system automatically becomes flexible. We also compare E-negotiation agent automated negotiation and behavior prediction system to prove that using rule based and case based approaches system should become fast.

基于Automation Studio的CA6140车床控制系统改造设计

CA6140卧式车床是应用十分广泛的金属切削机床,采用继电器—接触器控制,存在电气控制线路较复杂、动作速度慢、安全可靠性较差、故障诊断与排除较为困难等问题。可编程逻辑控制器(Programmable Logic Controller,PLC)的控制系统设计因功能强大、易于实现、成本较低、可靠性高而得到了广泛应用。文章以CA6140车床为例,探讨PLC在CA6140车床电气控制系统改造设计中的应用,运用Automation Studio进行控制系统的改造设计及仿真。

基于iSCSI存储的CAS云平台高可用研究与实现

H3C CAS云计算管理平台为H3C公司推出的统一虚拟化管理平台,目前很多企业采用此虚拟化平台来实现虚拟机的创建与管理,进而提高企业计算资源的管理效率。为了在H3C CAS平台上实现云主机高可用的特性,采用基于因特网的小型计算机系统接口(Internet Small Computer System Interface,iSCSI)存储架构进行共享存储,将创建虚拟机的镜像文件和虚拟机磁盘文件保存在共享存储磁盘上,以应对某些突发情况导致虚拟机所在主机宕机造成虚拟机响应中断的情形。通过VMware Workstation软件搭建云计算管理平台(Cloud Automation System,CAS),并使用iSCSI作为共享存储架构进行仿真实验。实验结果表明,iSCSI共享存储方式可以延长虚拟机的平均故障间隔时间,提升用户体验。

以工程能力为导向的“五位一体”教学改革探索——以Linux服务管理课程为例

立足于应用型本科院校的办学特色,适应云服务行业发展需求,Linux服务管理课程开展了“目标—内容—方法—评价—思政”五位一体的教学改革,确立了知识、能力、素质、育人四个方面的教学目标,使学生从知识获取走向综合能力素质培养,目标定位准确、全面,紧扣专业工程教育认证,构筑了一门重实践,强化工程能力和高阶思维的项目化课程,不但提高了课程的教学质量,而且增强了学生的工程实践能力,为新工科背景下网络工程专业的课程教学改革提供一种较好的解决方案。

微服务架构在分布式云存储系统中的应用与关键技术研究

本研究聚焦于微服务架构在分布式云存储系统中的应用及关键技术,针对传统单体架构在扩展性、维护成本及系统耦合度方面的局限性,提出了一种基于微服务架构的解决方案。通过合理拆分微服务粒度、优化服务间通信机制及构建自动化运维体系,提升了系统性能、可靠性和运维效率。实验结果表明,中等粒度的微服务拆分与异步通信机制结合,能够大幅度提高系统吞吐量和减少响应时间,同时基于AI的自动化运维体系进一步增强了系统稳定性。

基于点云数据的预制叠合板尺寸质量智能检测方法

为保证预制叠合板在施工现场能顺利安装,在出厂前通常需要对其进行尺寸质量检测,现有预制叠合板的尺寸质量检测方法难以全面准确地测量叠合板的实际三维尺寸。提出一种基于预制叠合板点云数据的多尺寸质量智能检测方法。对采集的点云数据进行预处理后,利用机器学习算法完成预制叠合板点云的自动定位与分割;依据不同的检测任务,将目标点云沿不同方向降维,映射为二维灰度图像;利用图像特征检测算法,分别实现叠合板底板的长宽、预留胡子筋的出筋长度与间距及桁架钢筋高度的自动检测;在验证试验中,对3块预制叠合板的点云数据进行尺寸质量检测。结果表明,提出的智能检测方法能全面准确地完成预制叠合板出厂尺寸质量检测,能进一步提高预制叠合板非接触质量检测结果的科学性与精准性。

云原生系统的性能测试技术研究与实践

为保障云原生系统的性能质量,设计了分布式的性能测试方案。在并发能力上,以执行机集群的方式突破工具瓶颈,满足云原生系统的高并发需求;在测试效率上,实现自动化性能测试任务,同时测试报告融合监控数据,辅助性能分析。方案包含应用交互层、集成服务层、基础服务层和执行机集群。应用交互层制定典型测试流程,集成服务层实现任务调度和数据整合等,基础服务层和执行机群执行分布式性能测试。工程实践表明,除显著提高测试并发能力外,还可以提高测试、问题诊断的效率,以减少线上环境的性能问题。

基于二次博弈云模型的石羊河流域水资源承载力评价

为准确判断石羊河流域水资源承载力状况,提升流域内经济高质量发展与水资源承载力的适应能力,从社会、经济、生态、水资源系统中选取16个评价指标构建石羊河流域水资源承载力评价体系,利用二次博弈云模型和障碍度模型评价石羊河流域2000~2020年水资源承载力变化状况并查明主要障碍因子。结果表明,2000~2020年,石羊河流域水资源承载力状况有所改善,水资源承载力总体处于Ⅲ级(临界承载状态);生态环境用水率、人均GDP、实际耕地灌溉率是水资源承载力的主要障碍因子;石羊河流域应调整用水结构、优化水资源配置、促进节水型经济的发展、加强生态环境保护,以提高水资源的合理高效利用。

基于自动化技术的新闻演播室智控系统的设计与应用

电视新闻演播室是一个集合视音频、矩阵、灯光舞美和新媒体直播等众多模块的系统整体,涉及的系统和工种都很多。本文主要在集成系统、精简工种的原则下,以浙江广电集团国际频道英语演播室改造为例,介绍智能化、自动化技术以及AR系统在最新融媒体新闻演播室中的设计和应用。

猪三维点云体尺自动计算模型Pig Back Transformer

[目的/意义]为了提高体尺关键点定位准确率,猪三维点云体尺自动测量方法会采用点云分割,在各个分割后局部点云定位测量关键点,以减少点云之间相互干扰。然而点云分割网络通常需要消耗较大计算资源,且现有测量点定位效果仍有待提升空间。本研究旨在通过设计关键点生成网络从猪体点云中提取出各体尺测量所需关键点。在降低显存资源需求的同时提高测量关键点定位效果,提高体尺测量的效率和精度。[方法]针对猪三维表面点云进行体尺测量,提出了一种定位猪体尺关键点的模型Pig Back Transformer。模型分为两个模块,分别设计了两种改进的Transformer自注意力编码器,第一模块为全局关键点模块,首先设计了一种猪背部边缘点提取算法用于获取边缘点,再使用edge encoder编码器以边缘点集合作为输入,edge encoder的edge attention中加入了边缘点和质点的偏移距离信息;第二模块为关键点生成模块,使用了back attention机制的back encoder,其中加入了与质心和第一模块生成的全局关键点的偏移量,并将偏移量与点云注意力通过按位max pooling操作结合,最后通过生成猪的体尺测量关键点和背脊走向点。最后设计了使用关键点和背脊走向点作为输入的体尺算法。[结果和讨论]对比关键点和背脊走向点生成任务上Pig Back Transformer表现最佳,并对比体尺计算结果与人工测量结果,体长相对误差为0.63%,相对PointNet++、Point Transformer V2、Point Cloud Transforme、OctFormer PointTr等模型有较大提升。[结论] Pig Back Transformer能相对准确地生成猪体尺关键点,提高体尺测量数据准确度,并且通过点云特征定位体尺关键点节省了计算资源,为无接触牲畜体尺测量提供了新思路。