Content Authoring and Cloud System Implementation for Smart Learning

In this paper, we implement a content authoring and cloud system for cloud-based smart cloud learning. With the advent of the smartphone and mobile devices such as tablets, the educational paradigm is also changing. Was using the computer to aid in the learning e-learning started in ICT education are evolving Over the variety, in recent years, combines smart learning and social learning, cloud-based smart devices in e-learning the concept of Smart Cloud Smart Education Services Learning was gives rise to the term. Smart Cloud and free running is always the knowledge content uploaded by anyone, anywhere, can also be shared with other users. A terminal and location, without limitations on time, are continuously available to the environment of a high- quality knowledge content was coming through a variety of smart media, open educational content platform is built over the level of the possible conditions than e-learning. In this paper, we develop applications and Web sites that can provide authored content for smart cloud learning. In addition, we have built the cloud for content management and the website that can share content with other users. In the future, should wish to study a way that can provide customized services over the learner analysis based on big data technology.

Internet of Things Cloud Framework for Smart Homes

Smart appliances and renewable energy resources are becoming an integral part of smart homes. Nowadays, home appliances are communicating with each other with home short-range home area gateways, using existing network communication protocols such as ZigBee, Bluetooth, RFID, and WiFi. A Gateway allows homeowners and utilities to communicate remotely with the appliances via long-range communication networks such as GPRS, WiMax, LTE, and power liner carrier. This paper utilizes the Internet of Things （IoT） concepts to monitor and control home appliances. Moreover, this paper proposes a framework that enables the integration and the coordination of Human-to-Appliance, Utility-to- Appliance, and Appliance-to-Appliance. Utilizing the concepts of Internet of Things leads to one standard communication protocols, TCP/IPV6, which overcomes the many diverse home area networks and neighborhood area networks protocols. This work proposes a cloud based framework that enables the IoTs integration and supports the coordination between devices, as well as with device-human interaction. A prototype is designed, implemented, and tested to validate the proposed solution.

Convergence Platform of Cloud Computing and Internet of Things (IoT) for Smart Healthcare Application

Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.

基于Cloud ＆ BIM的智慧建筑项目管理信息平台设计

为了更好地解决建筑项目管理过程中信息在不同系统框架下资源共享难,行业软件对于硬件要求高且其本身计算能力不足等问题,运用BIM软件,结合云计算共享计算能力强、平台易用性强等特点,设计了基于"Cloud&BIM"的信息系统平台设计方案,提出了数据采集层、网络支持层、云计算和大数据支持层、数据标准化层、模型层、系统应用层和用户层等7层架构,分析了Cloud&BIM模型、云端的设计方法和数据标准化管理等关键技术。通过设计"混合云"的方式,建筑单位可以根据不同需求将不同数据存储和处理实施在不同的云空间中。平台的实现将提高建筑工程项目的智慧化管理水平,可满足设计单位、施工单位、政府监管部门、用户的不同需求。

Dynamic Intelligent Supply-Demand Adaptation Model Towards Intelligent Cloud Manufacturing

As a new mode and means of smart manufacturing,smart cloud manufacturing(SCM)faces great challenges in massive supply and demand,dynamic resource collaboration and intelligent adaptation.To address the problem,this paper proposes an SCM-oriented dynamic supply-demand(SD)intelligent adaptation model for massive manufacturing services.In this model,a collaborative network model is established based on the properties of both the supply-demand and their relationships;in addition,an algorithm based on deep graph clustering(DGC)and aligned sampling(AS)is used to divide and conquer the large adaptation domain to solve the problem of the slow computational speed caused by the high complexity of spatiotemporal search in the collaborative network model.At the same time,an intelligent supply-demand adaptation method driven by the quality of service(QoS)is established,in which the experiences of adaptation are shared among adaptation subdomains through deep reinforcement learning(DRL)powered by a transfer mechanism to improve the poor adaptation results caused by dynamic uncertainty.The results show that the model and the solution proposed in this paper can performcollaborative and intelligent supply-demand adaptation for themassive and dynamic resources in SCM through autonomous learning and can effectively performglobal supply-demand matching and optimal resource allocation.

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.

基于Spring Cloud微服务架构的智慧校园系统设计

校园应用系统架构的设计与研究是成功实现智慧校园建设的重要环节。从智慧校园建设背景出发,逐步剖析智慧校园建设的现状,介绍了Spring Cloud微服务架构的出处,包括架构的核心组件及其运行原理等内容。对校园信息系统架构技术选型进行说明,利用Spring Cloud微服务架构进行智慧校园系统设计,为学校信息化建设提供了新的思路和方法。

基于Cloud VR的数据可视化研究

现有的数据可视化工具提供直观的数据分析方式,VR在显示复杂数据方面提供了更好的方式,VR在数据可视化中突出数据流中更为精细的细节,使用户能够从完全不同角度来观察数据。目前,VR用户体验不够流畅,用户消费成本较高,通过云端渲染的Cloud VR可以很好地解决当前数据可视化的问题。

Experimental Study on Cloud-Computing-Based Electric Power SCADA System

With the development of smart grid, the electric power supervisory control and data acquisition （SCADA） system is limited by the traditional IT infrastructure, leading to low resource utilization and poor scalability. Information islands are formed due to poor system interoperability. The development of innovative applications is limited, and the launching period of new businesses is long. Management costs and risks increase, and equipment utilization declines. To address these issues, a professional private cloud solution is introduced to integrate the electric power SCADA system, and conduct experimental study of its applicability, reliability, security, and real time. The experimental results show that the professional private cloud solution is technical and commercial feasible, meeting the requirements of the electric power SCADA system.

Energy Efficiency in Smart Grid: A Prospective Study on Energy Management Systems

The term Smart Grid has become a term to represent the benefits of a smart and sophisticated electrical grid, which can meet various social expectations related to sustainability and energy efficiency. The Smart Grid promises to enable a better power management for energy utilities and consumers, to provide the ability to integrate the power grid, to support the development of micro grids, and to involve citizens in energy management with higher levels of responsibility. However, this context comes with potential pitfalls, such as vulnerabilities to cyber-security and privacy risks. In this article, a prospective study about energy management, and exploring critical issues of modeling of energy management systems in a context Smart. Grid is presented along with background of energy management systems. An analysis of the demand response condition is also presented. Finally, the advantages and disadvantages of the implementation of energy management systems, and a comparison with the Brazilian electricity system are discussed.

基于智能油气田云平台的SmartConPetro油气生产大数据挖掘系统技术研究

针对智能油田建设下的海量油气生产数据,为应对数据深度分析的需求,建立了一种基于Smart Con工业生产大数据挖掘平台的油气生产挖掘系统,将多种类型的大数据挖掘方法融入到油藏动态分析、采油气工艺优选、油气集输、生产管理等油气生产的各个环节,从而实现油气生产的智能化分析、预测、优化并最终达到节能降耗的目的。

基于DPBBO算法的智慧云仓UAV盘库作业优化

针对智慧云仓货物信息量大、易出现账物不符等库存管理问题,迫切需要将无人机(unmanned aerial vehicle, UAV)和工业物联网(industrial Internet of things, IIoT)集成起来,为仓储精细化管理提供解决方案。首先,分析盘库作业数据采集与信息交互运行机制,以危险避障和数据采集为约束函数,考虑了UAV在加速、减速、匀速、转角等飞行条件下的能耗差异,并以能耗最低和时间最短为目标函数构造UAV盘库作业数学模型;然后,设计了差分迁移-分段变异生物地理学优化(differential migration-piecewise mutation-biogeography-based optimization, DPBBO)算法对上述模型进行优化解算;最后,进行了仿真实验验证。结果表明:DPBBO算法对解决该盘库作业问题的效果较优,可以提升库存抽检任务的时效性和库存管理的准确性。

基于CIM的智慧社区综合管理云平台开发

以城市信息模型CIM技术为核心,集成云服务技术、网络地理信息系统Web GIS技术、三维建模BIM技术、物联网IoT技术以及人工智能AI等技术,在研究并制定相关技术标准的基础上,成功开发了CIM+智慧社区综合管理云平台。实现对社区三维地理空间环境数据,社区建筑物、设备设施、仪器仪表以及各类管线等BIM三维模型数据的管理与维护,以及对社区人员、车辆、车位以及道路交通状况的智慧管理,对社区各类设备运维状况的实时定位检测、优化调控与管理。

基于区块链且可验证的智能电网多维数据聚合与分享方案

针对如何支持轻量级多维数据聚合,实现系统整体过程中多维数据的双端完整性验证,以及处理云服务器集中化等问题,提出了一种基于区块链且可验证的智能电网多维数据聚合与分享方案。首先,为了满足智能电网对电量数据细粒度分析的需求,利用掩蔽值和霍纳法则实现了隐私保护多维数据聚合。在此基础上,针对现有数据聚合方案在云存储数据与第三方分享方面存在的数据完整性验证问题,借用基于RSA的乘法同态承诺方案和同态哈希函数的同态性设计了一种新的签名算法,使云服务器不仅可以验证聚合数据的完整性,还可以验证数据分享阶段的完整性,即实现了云存储数据的双端可验证性,并且可以抵抗内部攻击。同时,提出了一种基于联盟链多链的聚合数据分享体系结构,有效地避免单机处理瓶颈和易受攻击等集中化问题。理论分析证明了所提方案的安全性。性能实验表明,所提方案比已有方案具有更低的计算和通信成本。

物联网技术在智慧城市中的应用

阐述智慧城市的发展背景,智慧城市建设面临的挑战。分析物联网技术在智慧城市建设中的应用,包括智慧物流、智慧交通、智慧医疗、智慧养老。探讨物联网技术赋能的智慧城市建设意义。

基于MEC边缘云的智慧商城数据更新控制算法

针对智慧商城中数据量较大的问题,提出基于MEC边缘云的智慧商城数据更新控制算法。在MEC边缘云环境中将数据信息经过整合分类处理后直接推送至用户端,将万有引力搜索算法和布谷鸟搜索算法融合构建CS-GSA算法,用于MEC边缘云智慧商城数据库数据清洗。在差分数据更新方法中引入游程编码和哈夫曼编码,采用游程编码将连续重复的数据压缩处理,降低数据规模,然后通过哈夫曼编码再次压缩,降低传输过程中的通信开销,实现MEC边缘云智慧商城数据更新。实验结果表明,所提方法的解编码时间、数据更新时间更短、通信开销较小,说明其能够提高数据更新质量。

边缘计算在智慧矿山建设中的应用分析

为了满足智慧矿山建设的技术需求,提出了基于边缘计算的智慧矿山建设新思路。首先,从智慧矿山建设目前存在的问题入手,分析和梳理了智慧矿山建设研究现状,指出了基于云计算矿山集中式架构的不足,通过研究新一代信息技术与工业技术融合应用,阐述了边缘计算的概念,指出了边缘计算将为智慧矿山的建设赋能。然后,介绍了边缘计算的发展历史背景、技术特点、典型架构以及发展趋势。重点分析了边缘计算应用于智慧矿山系统的优势,探讨了边缘计算赋能智慧矿山的关键技术问题,并构建了基于边缘计算的智慧矿山架构模型。与传统监测监控体系相比,基于边缘计算的体系在实时性、高效性和安全性具有一定优势。本文旨在通过对智慧矿山的边缘计算技术研究,为矿山边缘计算模型构建提供思路,为未来智慧矿山建设提供借鉴。

基于混合云架构的智慧教育生态构建与应用--以辽宁建筑职业学院智慧教育生态建设为例

依托5G、大数据、云计算等先进的信息技术手段,辽宁建筑职业学院构建了基于混合云架构的新型智慧教育生态。通过建设多领域、多业务数字化综合管理平台,建设多任务、个性化终身开放的智慧教学资源中心,建立内部数字治理保证体系,推进教育治理方式变革,形成了现代化的教育管理与监测体系,提升了管理精准化和决策科学化水平。